diff --git "a/ntu60_xview/b_2/20250530_181218.log" "b/ntu60_xview/b_2/20250530_181218.log" new file mode 100644--- /dev/null +++ "b/ntu60_xview/b_2/20250530_181218.log" @@ -0,0 +1,4659 @@ +2025-05-30 18:12:18,180 - 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+ +------------------------------------------------------------ + +2025-05-30 18:12:18,530 - pyskl - INFO - Config: modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/ntu60_xview/b_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module_LLM', + llm_model='gpt4o', + llm_modality='b', + 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/b_2', + interval_epoch=5, + weight_1=0.2, + weight_2=0.2)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/nturgbd/ntu60_3danno.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='GenSkeFeat', feats=['b']), + 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=['b']), + 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=['b']), + dict(type='UniformSampleDecode', clip_len=100, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/nturgbd/ntu60_3danno.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='GenSkeFeat', feats=['b']), + 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=['b']), + 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=['b']), + 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) + +2025-05-30 18:12:18,531 - pyskl - INFO - Set random seed to 1139206195, deterministic: False +2025-05-30 18:12:28,459 - pyskl - INFO - 37646 videos remain after valid thresholding +2025-05-30 18:12:34,082 - pyskl - INFO - 18932 videos remain after valid thresholding +2025-05-30 18:12:34,105 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2 +2025-05-30 18:12:34,105 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-05-30 18:12:34,105 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-05-30 18:12:34,105 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2 by HardDiskBackend. +2025-05-30 18:13:39,111 - pyskl - INFO - Epoch [1][100/2353] lr: 2.500e-02, eta: 2 days, 15:42:38, time: 0.650, data_time: 0.211, memory: 13125, top1_acc: 0.0275, top5_acc: 0.1437, loss_cls: 10.3086, loss: 10.3086 +2025-05-30 18:14:22,260 - pyskl - INFO - Epoch [1][200/2353] lr: 2.500e-02, eta: 2 days, 4:59:10, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.0369, top5_acc: 0.1688, loss_cls: 9.0691, loss: 9.0691 +2025-05-30 18:15:05,513 - pyskl - INFO - Epoch [1][300/2353] lr: 2.500e-02, eta: 2 days, 1:26:13, time: 0.433, data_time: 0.000, memory: 13125, top1_acc: 0.0437, top5_acc: 0.1713, loss_cls: 8.8906, loss: 8.8906 +2025-05-30 18:15:48,504 - pyskl - INFO - Epoch [1][400/2353] lr: 2.500e-02, eta: 1 day, 23:35:33, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.0644, top5_acc: 0.2525, loss_cls: 8.6984, loss: 8.6984 +2025-05-30 18:16:31,441 - pyskl - INFO - Epoch [1][500/2353] lr: 2.500e-02, eta: 1 day, 22:28:13, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.0737, top5_acc: 0.3137, loss_cls: 8.4166, loss: 8.4166 +2025-05-30 18:17:14,356 - pyskl - INFO - Epoch [1][600/2353] lr: 2.500e-02, eta: 1 day, 21:42:53, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.0912, top5_acc: 0.3688, loss_cls: 8.2363, loss: 8.2363 +2025-05-30 18:17:57,226 - pyskl - INFO - Epoch [1][700/2353] lr: 2.500e-02, eta: 1 day, 21:09:55, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.0900, top5_acc: 0.3725, loss_cls: 8.1789, loss: 8.1789 +2025-05-30 18:18:40,140 - pyskl - INFO - Epoch [1][800/2353] lr: 2.500e-02, eta: 1 day, 20:45:20, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.0969, top5_acc: 0.4056, loss_cls: 8.0642, loss: 8.0642 +2025-05-30 18:19:23,164 - pyskl - INFO - Epoch [1][900/2353] lr: 2.500e-02, eta: 1 day, 20:26:47, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.1156, top5_acc: 0.4387, loss_cls: 7.9072, loss: 7.9072 +2025-05-30 18:20:06,248 - pyskl - INFO - Epoch [1][1000/2353] lr: 2.500e-02, eta: 1 day, 20:12:09, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1325, top5_acc: 0.4531, loss_cls: 7.8269, loss: 7.8269 +2025-05-30 18:20:49,206 - pyskl - INFO - Epoch [1][1100/2353] lr: 2.500e-02, eta: 1 day, 19:59:21, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.1194, top5_acc: 0.4294, loss_cls: 7.8207, loss: 7.8207 +2025-05-30 18:21:32,134 - pyskl - INFO - Epoch [1][1200/2353] lr: 2.500e-02, eta: 1 day, 19:48:27, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.1281, top5_acc: 0.4625, loss_cls: 7.7599, loss: 7.7599 +2025-05-30 18:22:15,095 - pyskl - INFO - Epoch [1][1300/2353] lr: 2.500e-02, eta: 1 day, 19:39:15, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.1275, top5_acc: 0.4819, loss_cls: 7.6475, loss: 7.6475 +2025-05-30 18:22:58,181 - pyskl - INFO - Epoch [1][1400/2353] lr: 2.500e-02, eta: 1 day, 19:31:47, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1294, top5_acc: 0.4838, loss_cls: 7.6160, loss: 7.6160 +2025-05-30 18:23:41,499 - pyskl - INFO - Epoch [1][1500/2353] lr: 2.500e-02, eta: 1 day, 19:26:08, time: 0.433, data_time: 0.000, memory: 13125, top1_acc: 0.1437, top5_acc: 0.4725, loss_cls: 7.6505, loss: 7.6505 +2025-05-30 18:24:24,430 - pyskl - INFO - Epoch [1][1600/2353] lr: 2.500e-02, eta: 1 day, 19:19:40, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.1462, top5_acc: 0.5025, loss_cls: 7.5574, loss: 7.5574 +2025-05-30 18:25:07,332 - pyskl - INFO - Epoch [1][1700/2353] lr: 2.500e-02, eta: 1 day, 19:13:47, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.1656, top5_acc: 0.5331, loss_cls: 7.4013, loss: 7.4013 +2025-05-30 18:25:50,237 - pyskl - INFO - Epoch [1][1800/2353] lr: 2.500e-02, eta: 1 day, 19:08:29, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.1631, top5_acc: 0.5406, loss_cls: 7.4402, loss: 7.4402 +2025-05-30 18:26:33,232 - pyskl - INFO - Epoch [1][1900/2353] lr: 2.500e-02, eta: 1 day, 19:03:57, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.1787, top5_acc: 0.5650, loss_cls: 7.3255, loss: 7.3255 +2025-05-30 18:27:16,112 - pyskl - INFO - Epoch [1][2000/2353] lr: 2.500e-02, eta: 1 day, 18:59:28, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.1944, top5_acc: 0.5625, loss_cls: 7.3219, loss: 7.3219 +2025-05-30 18:27:58,988 - pyskl - INFO - Epoch [1][2100/2353] lr: 2.500e-02, eta: 1 day, 18:55:19, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.2000, top5_acc: 0.5800, loss_cls: 7.1744, loss: 7.1744 +2025-05-30 18:28:41,974 - pyskl - INFO - Epoch [1][2200/2353] lr: 2.500e-02, eta: 1 day, 18:51:47, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.2000, top5_acc: 0.6069, loss_cls: 7.2387, loss: 7.2387 +2025-05-30 18:29:24,838 - pyskl - INFO - Epoch [1][2300/2353] lr: 2.500e-02, eta: 1 day, 18:48:10, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.2106, top5_acc: 0.6244, loss_cls: 7.0908, loss: 7.0908 +2025-05-30 18:29:48,086 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-05-30 18:31:13,505 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 18:31:13,580 - pyskl - INFO - +top1_acc 0.2388 +top5_acc 0.6898 +2025-05-30 18:31:14,612 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-05-30 18:31:14,613 - pyskl - INFO - Best top1_acc is 0.2388 at 1 epoch. +2025-05-30 18:31:14,615 - pyskl - INFO - Epoch(val) [1][1184] top1_acc: 0.2388, top5_acc: 0.6898 +2025-05-30 18:32:18,647 - pyskl - INFO - Epoch [2][100/2353] lr: 2.500e-02, eta: 1 day, 18:39:25, time: 0.640, data_time: 0.207, memory: 13126, top1_acc: 0.2331, top5_acc: 0.6444, loss_cls: 6.9465, loss: 6.9465 +2025-05-30 18:33:01,777 - pyskl - INFO - Epoch [2][200/2353] lr: 2.500e-02, eta: 1 day, 18:37:07, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2369, top5_acc: 0.6469, loss_cls: 6.9874, loss: 6.9874 +2025-05-30 18:33:44,901 - pyskl - INFO - Epoch [2][300/2353] lr: 2.500e-02, eta: 1 day, 18:34:56, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2706, top5_acc: 0.6887, loss_cls: 6.7456, loss: 6.7456 +2025-05-30 18:34:28,025 - pyskl - INFO - Epoch [2][400/2353] lr: 2.500e-02, eta: 1 day, 18:32:51, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2800, top5_acc: 0.6944, loss_cls: 6.6595, loss: 6.6595 +2025-05-30 18:35:11,137 - pyskl - INFO - Epoch [2][500/2353] lr: 2.500e-02, eta: 1 day, 18:30:50, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2669, top5_acc: 0.6944, loss_cls: 6.7337, loss: 6.7337 +2025-05-30 18:35:54,150 - pyskl - INFO - Epoch [2][600/2353] lr: 2.500e-02, eta: 1 day, 18:28:43, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.2675, top5_acc: 0.7031, loss_cls: 6.7450, loss: 6.7450 +2025-05-30 18:36:37,175 - pyskl - INFO - Epoch [2][700/2353] lr: 2.500e-02, eta: 1 day, 18:26:43, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.2831, top5_acc: 0.6950, loss_cls: 6.7031, loss: 6.7031 +2025-05-30 18:37:20,103 - pyskl - INFO - Epoch [2][800/2353] lr: 2.500e-02, eta: 1 day, 18:24:36, time: 0.429, data_time: 0.000, memory: 13126, top1_acc: 0.3113, top5_acc: 0.7388, loss_cls: 6.4960, loss: 6.4960 +2025-05-30 18:38:03,058 - pyskl - INFO - Epoch [2][900/2353] lr: 2.499e-02, eta: 1 day, 18:22:38, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.3081, top5_acc: 0.7406, loss_cls: 6.4193, loss: 6.4193 +2025-05-30 18:38:46,016 - pyskl - INFO - Epoch [2][1000/2353] lr: 2.499e-02, eta: 1 day, 18:20:45, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.3231, top5_acc: 0.7631, loss_cls: 6.4134, loss: 6.4134 +2025-05-30 18:39:29,086 - pyskl - INFO - Epoch [2][1100/2353] lr: 2.499e-02, eta: 1 day, 18:19:07, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3525, top5_acc: 0.8044, loss_cls: 6.2186, loss: 6.2186 +2025-05-30 18:40:12,117 - pyskl - INFO - Epoch [2][1200/2353] lr: 2.499e-02, eta: 1 day, 18:17:28, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.3169, top5_acc: 0.7656, loss_cls: 6.4042, loss: 6.4042 +2025-05-30 18:40:55,097 - pyskl - INFO - Epoch [2][1300/2353] lr: 2.499e-02, eta: 1 day, 18:15:48, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.3513, top5_acc: 0.7800, loss_cls: 6.2734, loss: 6.2734 +2025-05-30 18:41:38,124 - pyskl - INFO - Epoch [2][1400/2353] lr: 2.499e-02, eta: 1 day, 18:14:15, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.3631, top5_acc: 0.7981, loss_cls: 6.2317, loss: 6.2317 +2025-05-30 18:42:21,493 - pyskl - INFO - Epoch [2][1500/2353] lr: 2.499e-02, eta: 1 day, 18:13:16, time: 0.434, data_time: 0.000, memory: 13126, top1_acc: 0.3756, top5_acc: 0.8037, loss_cls: 6.1673, loss: 6.1673 +2025-05-30 18:43:04,636 - pyskl - INFO - Epoch [2][1600/2353] lr: 2.499e-02, eta: 1 day, 18:11:57, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3713, top5_acc: 0.8063, loss_cls: 6.2376, loss: 6.2376 +2025-05-30 18:43:47,749 - pyskl - INFO - Epoch [2][1700/2353] lr: 2.499e-02, eta: 1 day, 18:10:37, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3925, top5_acc: 0.8050, loss_cls: 6.1393, loss: 6.1393 +2025-05-30 18:44:30,897 - pyskl - INFO - Epoch [2][1800/2353] lr: 2.499e-02, eta: 1 day, 18:09:23, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.4225, top5_acc: 0.8225, loss_cls: 5.8771, loss: 5.8771 +2025-05-30 18:45:13,889 - pyskl - INFO - Epoch [2][1900/2353] lr: 2.499e-02, eta: 1 day, 18:07:57, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.4238, top5_acc: 0.8237, loss_cls: 5.8800, loss: 5.8800 +2025-05-30 18:45:56,797 - pyskl - INFO - Epoch [2][2000/2353] lr: 2.499e-02, eta: 1 day, 18:06:26, time: 0.429, data_time: 0.000, memory: 13126, top1_acc: 0.4125, top5_acc: 0.8237, loss_cls: 5.9542, loss: 5.9542 +2025-05-30 18:46:39,765 - pyskl - INFO - Epoch [2][2100/2353] lr: 2.499e-02, eta: 1 day, 18:05:02, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.4400, top5_acc: 0.8481, loss_cls: 5.7332, loss: 5.7332 +2025-05-30 18:47:22,775 - pyskl - INFO - Epoch [2][2200/2353] lr: 2.499e-02, eta: 1 day, 18:03:43, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.4637, top5_acc: 0.8381, loss_cls: 5.7606, loss: 5.7606 +2025-05-30 18:48:05,824 - pyskl - INFO - Epoch [2][2300/2353] lr: 2.499e-02, eta: 1 day, 18:02:28, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.4662, top5_acc: 0.8612, loss_cls: 5.6795, loss: 5.6795 +2025-05-30 18:48:29,132 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-05-30 18:49:54,909 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 18:49:54,985 - pyskl - INFO - +top1_acc 0.5008 +top5_acc 0.8661 +2025-05-30 18:49:55,039 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_1.pth was removed +2025-05-30 18:49:56,069 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-05-30 18:49:56,069 - pyskl - INFO - Best top1_acc is 0.5008 at 2 epoch. +2025-05-30 18:49:56,072 - pyskl - INFO - Epoch(val) [2][1184] top1_acc: 0.5008, top5_acc: 0.8661 +2025-05-30 18:50:59,907 - pyskl - INFO - Epoch [3][100/2353] lr: 2.499e-02, eta: 1 day, 17:58:10, time: 0.638, data_time: 0.207, memory: 13127, top1_acc: 0.4531, top5_acc: 0.8419, loss_cls: 5.6909, loss: 5.6909 +2025-05-30 18:51:42,986 - pyskl - INFO - Epoch [3][200/2353] lr: 2.499e-02, eta: 1 day, 17:57:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.4562, top5_acc: 0.8462, loss_cls: 5.5612, loss: 5.5612 +2025-05-30 18:52:26,160 - pyskl - INFO - Epoch [3][300/2353] lr: 2.499e-02, eta: 1 day, 17:56:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.4813, top5_acc: 0.8575, loss_cls: 5.5004, loss: 5.5004 +2025-05-30 18:53:09,296 - pyskl - INFO - Epoch [3][400/2353] lr: 2.499e-02, eta: 1 day, 17:55:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.4944, top5_acc: 0.8869, loss_cls: 5.5003, loss: 5.5003 +2025-05-30 18:53:52,360 - pyskl - INFO - Epoch [3][500/2353] lr: 2.499e-02, eta: 1 day, 17:54:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5156, top5_acc: 0.8794, loss_cls: 5.2849, loss: 5.2849 +2025-05-30 18:54:35,460 - pyskl - INFO - Epoch [3][600/2353] lr: 2.499e-02, eta: 1 day, 17:52:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5006, top5_acc: 0.8681, loss_cls: 5.3743, loss: 5.3743 +2025-05-30 18:55:18,423 - pyskl - INFO - Epoch [3][700/2353] lr: 2.499e-02, eta: 1 day, 17:51:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.5169, top5_acc: 0.8725, loss_cls: 5.3393, loss: 5.3393 +2025-05-30 18:56:01,456 - pyskl - INFO - Epoch [3][800/2353] lr: 2.498e-02, eta: 1 day, 17:50:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.5088, top5_acc: 0.8731, loss_cls: 5.4019, loss: 5.4019 +2025-05-30 18:56:44,357 - pyskl - INFO - Epoch [3][900/2353] lr: 2.498e-02, eta: 1 day, 17:49:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.5019, top5_acc: 0.8756, loss_cls: 5.3200, loss: 5.3200 +2025-05-30 18:57:27,225 - pyskl - INFO - Epoch [3][1000/2353] lr: 2.498e-02, eta: 1 day, 17:48:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.5219, top5_acc: 0.8750, loss_cls: 5.2889, loss: 5.2889 +2025-05-30 18:58:10,139 - pyskl - INFO - Epoch [3][1100/2353] lr: 2.498e-02, eta: 1 day, 17:47:11, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.5606, top5_acc: 0.8925, loss_cls: 5.0791, loss: 5.0791 +2025-05-30 18:58:53,180 - pyskl - INFO - Epoch [3][1200/2353] lr: 2.498e-02, eta: 1 day, 17:46:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.5456, top5_acc: 0.8862, loss_cls: 5.2315, loss: 5.2315 +2025-05-30 18:59:36,109 - pyskl - INFO - Epoch [3][1300/2353] lr: 2.498e-02, eta: 1 day, 17:45:04, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.5737, top5_acc: 0.8912, loss_cls: 5.0660, loss: 5.0660 +2025-05-30 19:00:18,837 - pyskl - INFO - Epoch [3][1400/2353] lr: 2.498e-02, eta: 1 day, 17:43:47, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.5694, top5_acc: 0.8988, loss_cls: 5.0923, loss: 5.0923 +2025-05-30 19:01:01,703 - pyskl - INFO - Epoch [3][1500/2353] lr: 2.498e-02, eta: 1 day, 17:42:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.5537, top5_acc: 0.8862, loss_cls: 5.1111, loss: 5.1111 +2025-05-30 19:01:44,367 - pyskl - INFO - Epoch [3][1600/2353] lr: 2.498e-02, eta: 1 day, 17:41:20, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.5600, top5_acc: 0.9025, loss_cls: 5.0317, loss: 5.0317 +2025-05-30 19:02:27,233 - pyskl - INFO - Epoch [3][1700/2353] lr: 2.498e-02, eta: 1 day, 17:40:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.5856, top5_acc: 0.9012, loss_cls: 5.0113, loss: 5.0113 +2025-05-30 19:03:10,115 - pyskl - INFO - Epoch [3][1800/2353] lr: 2.498e-02, eta: 1 day, 17:39:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.5825, top5_acc: 0.9100, loss_cls: 4.9102, loss: 4.9102 +2025-05-30 19:03:53,065 - pyskl - INFO - Epoch [3][1900/2353] lr: 2.498e-02, eta: 1 day, 17:38:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.5737, top5_acc: 0.8956, loss_cls: 5.0274, loss: 5.0274 +2025-05-30 19:04:35,940 - pyskl - INFO - Epoch [3][2000/2353] lr: 2.498e-02, eta: 1 day, 17:37:04, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.5837, top5_acc: 0.9163, loss_cls: 4.8617, loss: 4.8617 +2025-05-30 19:05:18,775 - pyskl - INFO - Epoch [3][2100/2353] lr: 2.498e-02, eta: 1 day, 17:35:58, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.5769, top5_acc: 0.9062, loss_cls: 4.9303, loss: 4.9303 +2025-05-30 19:06:01,666 - pyskl - INFO - Epoch [3][2200/2353] lr: 2.498e-02, eta: 1 day, 17:34:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6138, top5_acc: 0.9150, loss_cls: 4.7821, loss: 4.7821 +2025-05-30 19:06:44,677 - pyskl - INFO - Epoch [3][2300/2353] lr: 2.498e-02, eta: 1 day, 17:34:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.5969, top5_acc: 0.9081, loss_cls: 4.8114, loss: 4.8114 +2025-05-30 19:07:07,993 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-05-30 19:08:33,650 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 19:08:33,725 - pyskl - INFO - +top1_acc 0.5882 +top5_acc 0.9103 +2025-05-30 19:08:33,777 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_2.pth was removed +2025-05-30 19:08:34,767 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-05-30 19:08:34,768 - pyskl - INFO - Best top1_acc is 0.5882 at 3 epoch. +2025-05-30 19:08:34,771 - pyskl - INFO - Epoch(val) [3][1184] top1_acc: 0.5882, top5_acc: 0.9103 +2025-05-30 19:09:38,121 - pyskl - INFO - Epoch [4][100/2353] lr: 2.497e-02, eta: 1 day, 17:30:37, time: 0.633, data_time: 0.205, memory: 13127, top1_acc: 0.6269, top5_acc: 0.9213, loss_cls: 4.6803, loss: 4.6803 +2025-05-30 19:10:21,426 - pyskl - INFO - Epoch [4][200/2353] lr: 2.497e-02, eta: 1 day, 17:29:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6238, top5_acc: 0.9169, loss_cls: 4.7705, loss: 4.7705 +2025-05-30 19:11:04,833 - pyskl - INFO - Epoch [4][300/2353] lr: 2.497e-02, eta: 1 day, 17:29:24, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.6262, top5_acc: 0.9244, loss_cls: 4.7330, loss: 4.7330 +2025-05-30 19:11:47,945 - pyskl - INFO - Epoch [4][400/2353] lr: 2.497e-02, eta: 1 day, 17:28:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6481, top5_acc: 0.9237, loss_cls: 4.6914, loss: 4.6914 +2025-05-30 19:12:30,980 - pyskl - INFO - Epoch [4][500/2353] lr: 2.497e-02, eta: 1 day, 17:27:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6206, top5_acc: 0.9187, loss_cls: 4.7551, loss: 4.7551 +2025-05-30 19:13:14,068 - pyskl - INFO - Epoch [4][600/2353] lr: 2.497e-02, eta: 1 day, 17:26:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6438, top5_acc: 0.9206, loss_cls: 4.6155, loss: 4.6155 +2025-05-30 19:13:57,073 - pyskl - INFO - Epoch [4][700/2353] lr: 2.497e-02, eta: 1 day, 17:26:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6594, top5_acc: 0.9394, loss_cls: 4.4769, loss: 4.4769 +2025-05-30 19:14:40,149 - pyskl - INFO - Epoch [4][800/2353] lr: 2.497e-02, eta: 1 day, 17:25:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6156, top5_acc: 0.9106, loss_cls: 4.7706, loss: 4.7706 +2025-05-30 19:15:23,166 - pyskl - INFO - Epoch [4][900/2353] lr: 2.497e-02, eta: 1 day, 17:24:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6456, top5_acc: 0.9181, loss_cls: 4.6150, loss: 4.6150 +2025-05-30 19:16:06,175 - pyskl - INFO - Epoch [4][1000/2353] lr: 2.497e-02, eta: 1 day, 17:23:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6156, top5_acc: 0.9231, loss_cls: 4.6494, loss: 4.6494 +2025-05-30 19:16:49,129 - pyskl - INFO - Epoch [4][1100/2353] lr: 2.497e-02, eta: 1 day, 17:22:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6475, top5_acc: 0.9200, loss_cls: 4.5981, loss: 4.5981 +2025-05-30 19:17:32,128 - pyskl - INFO - Epoch [4][1200/2353] lr: 2.497e-02, eta: 1 day, 17:21:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6356, top5_acc: 0.9244, loss_cls: 4.5815, loss: 4.5815 +2025-05-30 19:18:15,085 - pyskl - INFO - Epoch [4][1300/2353] lr: 2.497e-02, eta: 1 day, 17:20:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6412, top5_acc: 0.9256, loss_cls: 4.6019, loss: 4.6019 +2025-05-30 19:18:58,015 - pyskl - INFO - Epoch [4][1400/2353] lr: 2.496e-02, eta: 1 day, 17:19:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6481, top5_acc: 0.9263, loss_cls: 4.5193, loss: 4.5193 +2025-05-30 19:19:40,898 - pyskl - INFO - Epoch [4][1500/2353] lr: 2.496e-02, eta: 1 day, 17:19:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6438, top5_acc: 0.9275, loss_cls: 4.5285, loss: 4.5285 +2025-05-30 19:20:24,141 - pyskl - INFO - Epoch [4][1600/2353] lr: 2.496e-02, eta: 1 day, 17:18:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6344, top5_acc: 0.9150, loss_cls: 4.5404, loss: 4.5404 +2025-05-30 19:21:07,363 - pyskl - INFO - Epoch [4][1700/2353] lr: 2.496e-02, eta: 1 day, 17:17:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6525, top5_acc: 0.9250, loss_cls: 4.5743, loss: 4.5743 +2025-05-30 19:21:50,211 - pyskl - INFO - Epoch [4][1800/2353] lr: 2.496e-02, eta: 1 day, 17:16:42, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.6650, top5_acc: 0.9181, loss_cls: 4.6082, loss: 4.6082 +2025-05-30 19:22:33,157 - pyskl - INFO - Epoch [4][1900/2353] lr: 2.496e-02, eta: 1 day, 17:15:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6594, top5_acc: 0.9431, loss_cls: 4.4043, loss: 4.4043 +2025-05-30 19:23:16,015 - pyskl - INFO - Epoch [4][2000/2353] lr: 2.496e-02, eta: 1 day, 17:14:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6775, top5_acc: 0.9281, loss_cls: 4.3559, loss: 4.3559 +2025-05-30 19:23:58,930 - pyskl - INFO - Epoch [4][2100/2353] lr: 2.496e-02, eta: 1 day, 17:14:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6581, top5_acc: 0.9344, loss_cls: 4.4770, loss: 4.4770 +2025-05-30 19:24:41,892 - pyskl - INFO - Epoch [4][2200/2353] lr: 2.496e-02, eta: 1 day, 17:13:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6625, top5_acc: 0.9381, loss_cls: 4.2998, loss: 4.2998 +2025-05-30 19:25:24,844 - pyskl - INFO - Epoch [4][2300/2353] lr: 2.496e-02, eta: 1 day, 17:12:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6831, top5_acc: 0.9400, loss_cls: 4.2554, loss: 4.2554 +2025-05-30 19:25:48,154 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-05-30 19:27:13,841 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 19:27:13,917 - pyskl - INFO - +top1_acc 0.7454 +top5_acc 0.9666 +2025-05-30 19:27:13,979 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_3.pth was removed +2025-05-30 19:27:14,983 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-05-30 19:27:14,984 - pyskl - INFO - Best top1_acc is 0.7454 at 4 epoch. +2025-05-30 19:27:14,986 - pyskl - INFO - Epoch(val) [4][1184] top1_acc: 0.7454, top5_acc: 0.9666 +2025-05-30 19:28:18,513 - pyskl - INFO - Epoch [5][100/2353] lr: 2.496e-02, eta: 1 day, 17:09:41, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.7044, top5_acc: 0.9337, loss_cls: 4.1853, loss: 4.1853 +2025-05-30 19:29:01,702 - pyskl - INFO - Epoch [5][200/2353] lr: 2.495e-02, eta: 1 day, 17:08:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6881, top5_acc: 0.9337, loss_cls: 4.2808, loss: 4.2808 +2025-05-30 19:29:44,761 - pyskl - INFO - Epoch [5][300/2353] lr: 2.495e-02, eta: 1 day, 17:08:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6700, top5_acc: 0.9406, loss_cls: 4.3752, loss: 4.3752 +2025-05-30 19:30:28,038 - pyskl - INFO - Epoch [5][400/2353] lr: 2.495e-02, eta: 1 day, 17:07:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6669, top5_acc: 0.9287, loss_cls: 4.4331, loss: 4.4331 +2025-05-30 19:31:11,152 - pyskl - INFO - Epoch [5][500/2353] lr: 2.495e-02, eta: 1 day, 17:06:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6700, top5_acc: 0.9225, loss_cls: 4.2890, loss: 4.2890 +2025-05-30 19:31:54,184 - pyskl - INFO - Epoch [5][600/2353] lr: 2.495e-02, eta: 1 day, 17:06:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6994, top5_acc: 0.9456, loss_cls: 4.2086, loss: 4.2086 +2025-05-30 19:32:37,220 - pyskl - INFO - Epoch [5][700/2353] lr: 2.495e-02, eta: 1 day, 17:05:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7075, top5_acc: 0.9387, loss_cls: 4.3221, loss: 4.3221 +2025-05-30 19:33:20,301 - pyskl - INFO - Epoch [5][800/2353] lr: 2.495e-02, eta: 1 day, 17:04:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7181, top5_acc: 0.9475, loss_cls: 4.0936, loss: 4.0936 +2025-05-30 19:34:03,306 - pyskl - INFO - Epoch [5][900/2353] lr: 2.495e-02, eta: 1 day, 17:03:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6813, top5_acc: 0.9375, loss_cls: 4.2539, loss: 4.2539 +2025-05-30 19:34:46,225 - pyskl - INFO - Epoch [5][1000/2353] lr: 2.495e-02, eta: 1 day, 17:02:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6794, top5_acc: 0.9463, loss_cls: 4.2516, loss: 4.2516 +2025-05-30 19:35:29,193 - pyskl - INFO - Epoch [5][1100/2353] lr: 2.495e-02, eta: 1 day, 17:02:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6713, top5_acc: 0.9375, loss_cls: 4.3326, loss: 4.3326 +2025-05-30 19:36:12,173 - pyskl - INFO - Epoch [5][1200/2353] lr: 2.494e-02, eta: 1 day, 17:01:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6850, top5_acc: 0.9531, loss_cls: 4.1507, loss: 4.1507 +2025-05-30 19:36:55,128 - pyskl - INFO - Epoch [5][1300/2353] lr: 2.494e-02, eta: 1 day, 17:00:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7019, top5_acc: 0.9425, loss_cls: 4.1868, loss: 4.1868 +2025-05-30 19:37:38,120 - pyskl - INFO - Epoch [5][1400/2353] lr: 2.494e-02, eta: 1 day, 16:59:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6906, top5_acc: 0.9431, loss_cls: 4.3090, loss: 4.3090 +2025-05-30 19:38:21,056 - pyskl - INFO - Epoch [5][1500/2353] lr: 2.494e-02, eta: 1 day, 16:58:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6906, top5_acc: 0.9350, loss_cls: 4.2254, loss: 4.2254 +2025-05-30 19:39:03,981 - pyskl - INFO - Epoch [5][1600/2353] lr: 2.494e-02, eta: 1 day, 16:58:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7063, top5_acc: 0.9381, loss_cls: 4.1526, loss: 4.1526 +2025-05-30 19:39:46,847 - pyskl - INFO - Epoch [5][1700/2353] lr: 2.494e-02, eta: 1 day, 16:57:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6806, top5_acc: 0.9400, loss_cls: 4.3660, loss: 4.3660 +2025-05-30 19:40:29,737 - pyskl - INFO - Epoch [5][1800/2353] lr: 2.494e-02, eta: 1 day, 16:56:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6794, top5_acc: 0.9350, loss_cls: 4.2559, loss: 4.2559 +2025-05-30 19:41:12,633 - pyskl - INFO - Epoch [5][1900/2353] lr: 2.494e-02, eta: 1 day, 16:55:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6775, top5_acc: 0.9363, loss_cls: 4.2649, loss: 4.2649 +2025-05-30 19:41:55,538 - pyskl - INFO - Epoch [5][2000/2353] lr: 2.494e-02, eta: 1 day, 16:54:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6875, top5_acc: 0.9406, loss_cls: 4.2077, loss: 4.2077 +2025-05-30 19:42:38,443 - pyskl - INFO - Epoch [5][2100/2353] lr: 2.493e-02, eta: 1 day, 16:53:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7050, top5_acc: 0.9469, loss_cls: 4.2050, loss: 4.2050 +2025-05-30 19:43:21,386 - pyskl - INFO - Epoch [5][2200/2353] lr: 2.493e-02, eta: 1 day, 16:53:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6800, top5_acc: 0.9381, loss_cls: 4.2555, loss: 4.2555 +2025-05-30 19:44:04,232 - pyskl - INFO - Epoch [5][2300/2353] lr: 2.493e-02, eta: 1 day, 16:52:09, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.6944, top5_acc: 0.9400, loss_cls: 4.2562, loss: 4.2562 +2025-05-30 19:44:27,549 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-05-30 19:53:07,400 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 19:53:07,477 - pyskl - INFO - +top1_acc 0.7046 +top5_acc 0.9526 +2025-05-30 19:53:07,480 - pyskl - INFO - Epoch(val) [5][1184] top1_acc: 0.7046, top5_acc: 0.9526 +2025-05-30 19:54:11,673 - pyskl - INFO - Epoch [6][100/2353] lr: 2.493e-02, eta: 1 day, 16:50:12, time: 0.642, data_time: 0.212, memory: 13127, top1_acc: 0.7056, top5_acc: 0.9487, loss_cls: 4.1627, loss: 4.1627 +2025-05-30 19:54:54,719 - pyskl - INFO - Epoch [6][200/2353] lr: 2.493e-02, eta: 1 day, 16:49:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7094, top5_acc: 0.9475, loss_cls: 4.0769, loss: 4.0769 +2025-05-30 19:55:37,804 - pyskl - INFO - Epoch [6][300/2353] lr: 2.493e-02, eta: 1 day, 16:48:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7169, top5_acc: 0.9531, loss_cls: 3.9645, loss: 3.9645 +2025-05-30 19:56:20,952 - pyskl - INFO - Epoch [6][400/2353] lr: 2.493e-02, eta: 1 day, 16:48:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7238, top5_acc: 0.9519, loss_cls: 4.0077, loss: 4.0077 +2025-05-30 19:57:03,973 - pyskl - INFO - Epoch [6][500/2353] lr: 2.493e-02, eta: 1 day, 16:47:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6994, top5_acc: 0.9456, loss_cls: 4.0419, loss: 4.0419 +2025-05-30 19:57:46,901 - pyskl - INFO - Epoch [6][600/2353] lr: 2.492e-02, eta: 1 day, 16:46:29, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7163, top5_acc: 0.9519, loss_cls: 4.0975, loss: 4.0975 +2025-05-30 19:58:29,861 - pyskl - INFO - Epoch [6][700/2353] lr: 2.492e-02, eta: 1 day, 16:45:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6994, top5_acc: 0.9500, loss_cls: 4.0994, loss: 4.0994 +2025-05-30 19:59:12,774 - pyskl - INFO - Epoch [6][800/2353] lr: 2.492e-02, eta: 1 day, 16:44:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7188, top5_acc: 0.9419, loss_cls: 4.0069, loss: 4.0069 +2025-05-30 19:59:55,689 - pyskl - INFO - Epoch [6][900/2353] lr: 2.492e-02, eta: 1 day, 16:44:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.6687, top5_acc: 0.9375, loss_cls: 4.3109, loss: 4.3109 +2025-05-30 20:00:38,656 - pyskl - INFO - Epoch [6][1000/2353] lr: 2.492e-02, eta: 1 day, 16:43:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7050, top5_acc: 0.9413, loss_cls: 4.1442, loss: 4.1442 +2025-05-30 20:01:21,612 - pyskl - INFO - Epoch [6][1100/2353] lr: 2.492e-02, eta: 1 day, 16:42:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7063, top5_acc: 0.9475, loss_cls: 4.1676, loss: 4.1676 +2025-05-30 20:02:04,581 - pyskl - INFO - Epoch [6][1200/2353] lr: 2.492e-02, eta: 1 day, 16:41:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7037, top5_acc: 0.9437, loss_cls: 4.1013, loss: 4.1013 +2025-05-30 20:02:47,556 - pyskl - INFO - Epoch [6][1300/2353] lr: 2.492e-02, eta: 1 day, 16:41:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7113, top5_acc: 0.9475, loss_cls: 4.0484, loss: 4.0484 +2025-05-30 20:03:30,500 - pyskl - INFO - Epoch [6][1400/2353] lr: 2.491e-02, eta: 1 day, 16:40:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7288, top5_acc: 0.9544, loss_cls: 3.8726, loss: 3.8726 +2025-05-30 20:04:13,445 - pyskl - INFO - Epoch [6][1500/2353] lr: 2.491e-02, eta: 1 day, 16:39:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7050, top5_acc: 0.9506, loss_cls: 4.0659, loss: 4.0659 +2025-05-30 20:04:56,200 - pyskl - INFO - Epoch [6][1600/2353] lr: 2.491e-02, eta: 1 day, 16:38:35, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.7375, top5_acc: 0.9550, loss_cls: 3.9831, loss: 3.9831 +2025-05-30 20:05:39,192 - pyskl - INFO - Epoch [6][1700/2353] lr: 2.491e-02, eta: 1 day, 16:37:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7044, top5_acc: 0.9450, loss_cls: 4.0178, loss: 4.0178 +2025-05-30 20:06:22,143 - pyskl - INFO - Epoch [6][1800/2353] lr: 2.491e-02, eta: 1 day, 16:37:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7150, top5_acc: 0.9513, loss_cls: 4.0092, loss: 4.0092 +2025-05-30 20:07:05,078 - pyskl - INFO - Epoch [6][1900/2353] lr: 2.491e-02, eta: 1 day, 16:36:16, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7175, top5_acc: 0.9500, loss_cls: 3.9988, loss: 3.9988 +2025-05-30 20:07:48,095 - pyskl - INFO - Epoch [6][2000/2353] lr: 2.491e-02, eta: 1 day, 16:35:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6869, top5_acc: 0.9400, loss_cls: 4.0820, loss: 4.0820 +2025-05-30 20:08:31,009 - pyskl - INFO - Epoch [6][2100/2353] lr: 2.490e-02, eta: 1 day, 16:34:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7225, top5_acc: 0.9444, loss_cls: 3.9718, loss: 3.9718 +2025-05-30 20:09:14,126 - pyskl - INFO - Epoch [6][2200/2353] lr: 2.490e-02, eta: 1 day, 16:34:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7312, top5_acc: 0.9625, loss_cls: 3.9055, loss: 3.9055 +2025-05-30 20:09:57,008 - pyskl - INFO - Epoch [6][2300/2353] lr: 2.490e-02, eta: 1 day, 16:33:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7069, top5_acc: 0.9513, loss_cls: 3.9770, loss: 3.9770 +2025-05-30 20:10:20,167 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-05-30 20:11:45,775 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 20:11:45,851 - pyskl - INFO - +top1_acc 0.7546 +top5_acc 0.9643 +2025-05-30 20:11:45,908 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_4.pth was removed +2025-05-30 20:11:46,990 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-05-30 20:11:46,990 - pyskl - INFO - Best top1_acc is 0.7546 at 6 epoch. +2025-05-30 20:11:46,993 - pyskl - INFO - Epoch(val) [6][1184] top1_acc: 0.7546, top5_acc: 0.9643 +2025-05-30 20:12:50,420 - pyskl - INFO - Epoch [7][100/2353] lr: 2.490e-02, eta: 1 day, 16:31:09, time: 0.634, data_time: 0.204, memory: 13127, top1_acc: 0.7381, top5_acc: 0.9537, loss_cls: 3.8920, loss: 3.8920 +2025-05-30 20:13:33,538 - pyskl - INFO - Epoch [7][200/2353] lr: 2.490e-02, eta: 1 day, 16:30:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7281, top5_acc: 0.9444, loss_cls: 3.8785, loss: 3.8785 +2025-05-30 20:14:16,586 - pyskl - INFO - Epoch [7][300/2353] lr: 2.490e-02, eta: 1 day, 16:29:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7588, top5_acc: 0.9631, loss_cls: 3.8199, loss: 3.8199 +2025-05-30 20:14:59,653 - pyskl - INFO - Epoch [7][400/2353] lr: 2.490e-02, eta: 1 day, 16:29:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7556, top5_acc: 0.9519, loss_cls: 3.8580, loss: 3.8580 +2025-05-30 20:15:42,742 - pyskl - INFO - Epoch [7][500/2353] lr: 2.489e-02, eta: 1 day, 16:28:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7312, top5_acc: 0.9531, loss_cls: 3.9228, loss: 3.9228 +2025-05-30 20:16:25,760 - pyskl - INFO - Epoch [7][600/2353] lr: 2.489e-02, eta: 1 day, 16:27:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7256, top5_acc: 0.9537, loss_cls: 4.0179, loss: 4.0179 +2025-05-30 20:17:08,793 - pyskl - INFO - Epoch [7][700/2353] lr: 2.489e-02, eta: 1 day, 16:26:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7381, top5_acc: 0.9569, loss_cls: 3.8722, loss: 3.8722 +2025-05-30 20:17:51,856 - pyskl - INFO - Epoch [7][800/2353] lr: 2.489e-02, eta: 1 day, 16:26:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9544, loss_cls: 3.9421, loss: 3.9421 +2025-05-30 20:18:34,820 - pyskl - INFO - Epoch [7][900/2353] lr: 2.489e-02, eta: 1 day, 16:25:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7306, top5_acc: 0.9613, loss_cls: 3.7895, loss: 3.7895 +2025-05-30 20:19:17,800 - pyskl - INFO - Epoch [7][1000/2353] lr: 2.489e-02, eta: 1 day, 16:24:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9444, loss_cls: 4.0631, loss: 4.0631 +2025-05-30 20:20:00,721 - pyskl - INFO - Epoch [7][1100/2353] lr: 2.489e-02, eta: 1 day, 16:23:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7362, top5_acc: 0.9487, loss_cls: 3.8945, loss: 3.8945 +2025-05-30 20:20:43,716 - pyskl - INFO - Epoch [7][1200/2353] lr: 2.488e-02, eta: 1 day, 16:23:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7369, top5_acc: 0.9587, loss_cls: 3.8813, loss: 3.8813 +2025-05-30 20:21:26,780 - pyskl - INFO - Epoch [7][1300/2353] lr: 2.488e-02, eta: 1 day, 16:22:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7381, top5_acc: 0.9669, loss_cls: 3.7342, loss: 3.7342 +2025-05-30 20:22:09,805 - pyskl - INFO - Epoch [7][1400/2353] lr: 2.488e-02, eta: 1 day, 16:21:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7225, top5_acc: 0.9444, loss_cls: 3.9122, loss: 3.9122 +2025-05-30 20:22:52,787 - pyskl - INFO - Epoch [7][1500/2353] lr: 2.488e-02, eta: 1 day, 16:20:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7425, top5_acc: 0.9506, loss_cls: 3.7987, loss: 3.7987 +2025-05-30 20:23:35,742 - pyskl - INFO - Epoch [7][1600/2353] lr: 2.488e-02, eta: 1 day, 16:20:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7488, top5_acc: 0.9494, loss_cls: 3.8482, loss: 3.8482 +2025-05-30 20:24:18,736 - pyskl - INFO - Epoch [7][1700/2353] lr: 2.488e-02, eta: 1 day, 16:19:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7375, top5_acc: 0.9575, loss_cls: 3.8704, loss: 3.8704 +2025-05-30 20:25:01,662 - pyskl - INFO - Epoch [7][1800/2353] lr: 2.487e-02, eta: 1 day, 16:18:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7269, top5_acc: 0.9581, loss_cls: 3.8776, loss: 3.8776 +2025-05-30 20:25:44,680 - pyskl - INFO - Epoch [7][1900/2353] lr: 2.487e-02, eta: 1 day, 16:17:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7319, top5_acc: 0.9519, loss_cls: 3.8824, loss: 3.8824 +2025-05-30 20:26:27,542 - pyskl - INFO - Epoch [7][2000/2353] lr: 2.487e-02, eta: 1 day, 16:17:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7325, top5_acc: 0.9569, loss_cls: 3.8586, loss: 3.8586 +2025-05-30 20:27:10,445 - pyskl - INFO - Epoch [7][2100/2353] lr: 2.487e-02, eta: 1 day, 16:16:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7344, top5_acc: 0.9463, loss_cls: 3.8278, loss: 3.8278 +2025-05-30 20:27:53,357 - pyskl - INFO - Epoch [7][2200/2353] lr: 2.487e-02, eta: 1 day, 16:15:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7494, top5_acc: 0.9494, loss_cls: 3.8422, loss: 3.8422 +2025-05-30 20:28:36,333 - pyskl - INFO - Epoch [7][2300/2353] lr: 2.487e-02, eta: 1 day, 16:14:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7406, top5_acc: 0.9437, loss_cls: 3.9928, loss: 3.9928 +2025-05-30 20:28:59,676 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-05-30 20:30:25,076 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 20:30:25,153 - pyskl - INFO - +top1_acc 0.7860 +top5_acc 0.9731 +2025-05-30 20:30:25,211 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_6.pth was removed +2025-05-30 20:30:26,324 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-05-30 20:30:26,324 - pyskl - INFO - Best top1_acc is 0.7860 at 7 epoch. +2025-05-30 20:30:26,327 - pyskl - INFO - Epoch(val) [7][1184] top1_acc: 0.7860, top5_acc: 0.9731 +2025-05-30 20:31:29,981 - pyskl - INFO - Epoch [8][100/2353] lr: 2.486e-02, eta: 1 day, 16:13:00, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.7675, top5_acc: 0.9606, loss_cls: 3.7031, loss: 3.7031 +2025-05-30 20:32:13,094 - pyskl - INFO - Epoch [8][200/2353] lr: 2.486e-02, eta: 1 day, 16:12:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7494, top5_acc: 0.9650, loss_cls: 3.6913, loss: 3.6913 +2025-05-30 20:32:56,134 - pyskl - INFO - Epoch [8][300/2353] lr: 2.486e-02, eta: 1 day, 16:11:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9531, loss_cls: 3.7534, loss: 3.7534 +2025-05-30 20:33:39,285 - pyskl - INFO - Epoch [8][400/2353] lr: 2.486e-02, eta: 1 day, 16:10:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7481, top5_acc: 0.9525, loss_cls: 3.7727, loss: 3.7727 +2025-05-30 20:34:22,433 - pyskl - INFO - Epoch [8][500/2353] lr: 2.486e-02, eta: 1 day, 16:10:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7462, top5_acc: 0.9556, loss_cls: 3.8653, loss: 3.8653 +2025-05-30 20:35:05,394 - pyskl - INFO - Epoch [8][600/2353] lr: 2.486e-02, eta: 1 day, 16:09:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7650, top5_acc: 0.9587, loss_cls: 3.7023, loss: 3.7023 +2025-05-30 20:35:48,444 - pyskl - INFO - Epoch [8][700/2353] lr: 2.485e-02, eta: 1 day, 16:08:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7412, top5_acc: 0.9625, loss_cls: 3.7586, loss: 3.7586 +2025-05-30 20:36:31,485 - pyskl - INFO - Epoch [8][800/2353] lr: 2.485e-02, eta: 1 day, 16:08:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7700, top5_acc: 0.9581, loss_cls: 3.6293, loss: 3.6293 +2025-05-30 20:37:14,518 - pyskl - INFO - Epoch [8][900/2353] lr: 2.485e-02, eta: 1 day, 16:07:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7506, top5_acc: 0.9556, loss_cls: 3.8767, loss: 3.8767 +2025-05-30 20:37:57,552 - pyskl - INFO - Epoch [8][1000/2353] lr: 2.485e-02, eta: 1 day, 16:06:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7469, top5_acc: 0.9494, loss_cls: 3.8102, loss: 3.8102 +2025-05-30 20:38:40,499 - pyskl - INFO - Epoch [8][1100/2353] lr: 2.485e-02, eta: 1 day, 16:05:51, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7456, top5_acc: 0.9537, loss_cls: 3.7482, loss: 3.7482 +2025-05-30 20:39:23,459 - pyskl - INFO - Epoch [8][1200/2353] lr: 2.485e-02, eta: 1 day, 16:05:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7619, top5_acc: 0.9594, loss_cls: 3.7695, loss: 3.7695 +2025-05-30 20:40:06,521 - pyskl - INFO - Epoch [8][1300/2353] lr: 2.484e-02, eta: 1 day, 16:04:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9625, loss_cls: 3.6127, loss: 3.6127 +2025-05-30 20:40:49,571 - pyskl - INFO - Epoch [8][1400/2353] lr: 2.484e-02, eta: 1 day, 16:03:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9575, loss_cls: 3.6956, loss: 3.6956 +2025-05-30 20:41:32,639 - pyskl - INFO - Epoch [8][1500/2353] lr: 2.484e-02, eta: 1 day, 16:02:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7638, top5_acc: 0.9575, loss_cls: 3.6639, loss: 3.6639 +2025-05-30 20:42:15,700 - pyskl - INFO - Epoch [8][1600/2353] lr: 2.484e-02, eta: 1 day, 16:02:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7669, top5_acc: 0.9587, loss_cls: 3.7541, loss: 3.7541 +2025-05-30 20:42:58,702 - pyskl - INFO - Epoch [8][1700/2353] lr: 2.484e-02, eta: 1 day, 16:01:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9537, loss_cls: 3.6896, loss: 3.6896 +2025-05-30 20:43:41,805 - pyskl - INFO - Epoch [8][1800/2353] lr: 2.484e-02, eta: 1 day, 16:00:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7594, top5_acc: 0.9537, loss_cls: 3.8062, loss: 3.8062 +2025-05-30 20:44:24,829 - pyskl - INFO - Epoch [8][1900/2353] lr: 2.483e-02, eta: 1 day, 16:00:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7431, top5_acc: 0.9681, loss_cls: 3.7310, loss: 3.7310 +2025-05-30 20:45:07,813 - pyskl - INFO - Epoch [8][2000/2353] lr: 2.483e-02, eta: 1 day, 15:59:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9506, loss_cls: 3.8391, loss: 3.8391 +2025-05-30 20:45:50,727 - pyskl - INFO - Epoch [8][2100/2353] lr: 2.483e-02, eta: 1 day, 15:58:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9575, loss_cls: 3.7212, loss: 3.7212 +2025-05-30 20:46:33,769 - pyskl - INFO - Epoch [8][2200/2353] lr: 2.483e-02, eta: 1 day, 15:57:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7381, top5_acc: 0.9544, loss_cls: 3.8156, loss: 3.8156 +2025-05-30 20:47:16,841 - pyskl - INFO - Epoch [8][2300/2353] lr: 2.483e-02, eta: 1 day, 15:57:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7544, top5_acc: 0.9569, loss_cls: 3.6917, loss: 3.6917 +2025-05-30 20:47:40,250 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-05-30 20:49:05,582 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 20:49:05,659 - pyskl - INFO - +top1_acc 0.8017 +top5_acc 0.9746 +2025-05-30 20:49:05,709 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_7.pth was removed +2025-05-30 20:49:06,697 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-05-30 20:49:06,698 - pyskl - INFO - Best top1_acc is 0.8017 at 8 epoch. +2025-05-30 20:49:06,701 - pyskl - INFO - Epoch(val) [8][1184] top1_acc: 0.8017, top5_acc: 0.9746 +2025-05-30 20:50:09,773 - pyskl - INFO - Epoch [9][100/2353] lr: 2.482e-02, eta: 1 day, 15:55:17, time: 0.631, data_time: 0.202, memory: 13127, top1_acc: 0.7681, top5_acc: 0.9519, loss_cls: 3.6315, loss: 3.6315 +2025-05-30 20:50:52,920 - pyskl - INFO - Epoch [9][200/2353] lr: 2.482e-02, eta: 1 day, 15:54:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7362, top5_acc: 0.9600, loss_cls: 3.8153, loss: 3.8153 +2025-05-30 20:51:36,006 - pyskl - INFO - Epoch [9][300/2353] lr: 2.482e-02, eta: 1 day, 15:53:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9694, loss_cls: 3.5830, loss: 3.5830 +2025-05-30 20:52:19,185 - pyskl - INFO - Epoch [9][400/2353] lr: 2.482e-02, eta: 1 day, 15:53:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7656, top5_acc: 0.9619, loss_cls: 3.5896, loss: 3.5896 +2025-05-30 20:53:02,461 - pyskl - INFO - Epoch [9][500/2353] lr: 2.482e-02, eta: 1 day, 15:52:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9650, loss_cls: 3.6723, loss: 3.6723 +2025-05-30 20:53:45,487 - pyskl - INFO - Epoch [9][600/2353] lr: 2.481e-02, eta: 1 day, 15:51:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7556, top5_acc: 0.9556, loss_cls: 3.7365, loss: 3.7365 +2025-05-30 20:54:28,541 - pyskl - INFO - Epoch [9][700/2353] lr: 2.481e-02, eta: 1 day, 15:51:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7481, top5_acc: 0.9556, loss_cls: 3.7557, loss: 3.7557 +2025-05-30 20:55:11,625 - pyskl - INFO - Epoch [9][800/2353] lr: 2.481e-02, eta: 1 day, 15:50:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7781, top5_acc: 0.9619, loss_cls: 3.6244, loss: 3.6244 +2025-05-30 20:55:54,574 - pyskl - INFO - Epoch [9][900/2353] lr: 2.481e-02, eta: 1 day, 15:49:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7700, top5_acc: 0.9600, loss_cls: 3.6470, loss: 3.6470 +2025-05-30 20:56:37,498 - pyskl - INFO - Epoch [9][1000/2353] lr: 2.481e-02, eta: 1 day, 15:48:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7594, top5_acc: 0.9581, loss_cls: 3.7643, loss: 3.7643 +2025-05-30 20:57:20,445 - pyskl - INFO - Epoch [9][1100/2353] lr: 2.480e-02, eta: 1 day, 15:48:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7719, top5_acc: 0.9706, loss_cls: 3.5953, loss: 3.5953 +2025-05-30 20:58:03,492 - pyskl - INFO - Epoch [9][1200/2353] lr: 2.480e-02, eta: 1 day, 15:47:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7662, top5_acc: 0.9631, loss_cls: 3.6573, loss: 3.6573 +2025-05-30 20:58:46,371 - pyskl - INFO - Epoch [9][1300/2353] lr: 2.480e-02, eta: 1 day, 15:46:45, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9587, loss_cls: 3.6016, loss: 3.6016 +2025-05-30 20:59:29,331 - pyskl - INFO - Epoch [9][1400/2353] lr: 2.480e-02, eta: 1 day, 15:46:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7731, top5_acc: 0.9581, loss_cls: 3.5813, loss: 3.5813 +2025-05-30 21:00:12,334 - pyskl - INFO - Epoch [9][1500/2353] lr: 2.480e-02, eta: 1 day, 15:45:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7669, top5_acc: 0.9550, loss_cls: 3.7504, loss: 3.7504 +2025-05-30 21:00:55,305 - pyskl - INFO - Epoch [9][1600/2353] lr: 2.479e-02, eta: 1 day, 15:44:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7775, top5_acc: 0.9637, loss_cls: 3.6374, loss: 3.6374 +2025-05-30 21:01:38,213 - pyskl - INFO - Epoch [9][1700/2353] lr: 2.479e-02, eta: 1 day, 15:43:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7712, top5_acc: 0.9606, loss_cls: 3.6726, loss: 3.6726 +2025-05-30 21:02:21,148 - pyskl - INFO - Epoch [9][1800/2353] lr: 2.479e-02, eta: 1 day, 15:43:04, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7419, top5_acc: 0.9581, loss_cls: 3.7696, loss: 3.7696 +2025-05-30 21:03:04,272 - pyskl - INFO - Epoch [9][1900/2353] lr: 2.479e-02, eta: 1 day, 15:42:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7788, top5_acc: 0.9600, loss_cls: 3.6434, loss: 3.6434 +2025-05-30 21:03:47,205 - pyskl - INFO - Epoch [9][2000/2353] lr: 2.479e-02, eta: 1 day, 15:41:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7556, top5_acc: 0.9706, loss_cls: 3.6474, loss: 3.6474 +2025-05-30 21:04:30,141 - pyskl - INFO - Epoch [9][2100/2353] lr: 2.478e-02, eta: 1 day, 15:40:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9637, loss_cls: 3.6408, loss: 3.6408 +2025-05-30 21:05:13,034 - pyskl - INFO - Epoch [9][2200/2353] lr: 2.478e-02, eta: 1 day, 15:40:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7750, top5_acc: 0.9650, loss_cls: 3.6618, loss: 3.6618 +2025-05-30 21:05:56,041 - pyskl - INFO - Epoch [9][2300/2353] lr: 2.478e-02, eta: 1 day, 15:39:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7812, top5_acc: 0.9631, loss_cls: 3.5575, loss: 3.5575 +2025-05-30 21:06:19,264 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-05-30 21:07:44,472 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 21:07:44,548 - pyskl - INFO - +top1_acc 0.8064 +top5_acc 0.9764 +2025-05-30 21:07:44,602 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_8.pth was removed +2025-05-30 21:07:45,622 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-05-30 21:07:45,623 - pyskl - INFO - Best top1_acc is 0.8064 at 9 epoch. +2025-05-30 21:07:45,626 - pyskl - INFO - Epoch(val) [9][1184] top1_acc: 0.8064, top5_acc: 0.9764 +2025-05-30 21:08:49,386 - pyskl - INFO - Epoch [10][100/2353] lr: 2.478e-02, eta: 1 day, 15:37:47, time: 0.638, data_time: 0.204, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9625, loss_cls: 3.5692, loss: 3.5692 +2025-05-30 21:09:32,426 - pyskl - INFO - Epoch [10][200/2353] lr: 2.477e-02, eta: 1 day, 15:37:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9550, loss_cls: 3.6354, loss: 3.6354 +2025-05-30 21:10:15,428 - pyskl - INFO - Epoch [10][300/2353] lr: 2.477e-02, eta: 1 day, 15:36:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9575, loss_cls: 3.6375, loss: 3.6375 +2025-05-30 21:10:58,611 - pyskl - INFO - Epoch [10][400/2353] lr: 2.477e-02, eta: 1 day, 15:35:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9625, loss_cls: 3.5623, loss: 3.5623 +2025-05-30 21:11:41,713 - pyskl - INFO - Epoch [10][500/2353] lr: 2.477e-02, eta: 1 day, 15:34:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7775, top5_acc: 0.9663, loss_cls: 3.4858, loss: 3.4858 +2025-05-30 21:12:24,878 - pyskl - INFO - Epoch [10][600/2353] lr: 2.477e-02, eta: 1 day, 15:34:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7725, top5_acc: 0.9700, loss_cls: 3.5195, loss: 3.5195 +2025-05-30 21:13:08,026 - pyskl - INFO - Epoch [10][700/2353] lr: 2.476e-02, eta: 1 day, 15:33:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9681, loss_cls: 3.5342, loss: 3.5342 +2025-05-30 21:13:51,111 - pyskl - INFO - Epoch [10][800/2353] lr: 2.476e-02, eta: 1 day, 15:32:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9700, loss_cls: 3.5104, loss: 3.5104 +2025-05-30 21:14:34,161 - pyskl - INFO - Epoch [10][900/2353] lr: 2.476e-02, eta: 1 day, 15:32:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9581, loss_cls: 3.6542, loss: 3.6542 +2025-05-30 21:15:17,237 - pyskl - INFO - Epoch [10][1000/2353] lr: 2.476e-02, eta: 1 day, 15:31:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7681, top5_acc: 0.9637, loss_cls: 3.5206, loss: 3.5206 +2025-05-30 21:16:00,295 - pyskl - INFO - Epoch [10][1100/2353] lr: 2.476e-02, eta: 1 day, 15:30:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7644, top5_acc: 0.9644, loss_cls: 3.6080, loss: 3.6080 +2025-05-30 21:16:43,302 - pyskl - INFO - Epoch [10][1200/2353] lr: 2.475e-02, eta: 1 day, 15:30:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7681, top5_acc: 0.9563, loss_cls: 3.6215, loss: 3.6215 +2025-05-30 21:17:26,428 - pyskl - INFO - Epoch [10][1300/2353] lr: 2.475e-02, eta: 1 day, 15:29:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9656, loss_cls: 3.5170, loss: 3.5170 +2025-05-30 21:18:09,323 - pyskl - INFO - Epoch [10][1400/2353] lr: 2.475e-02, eta: 1 day, 15:28:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7806, top5_acc: 0.9706, loss_cls: 3.5157, loss: 3.5157 +2025-05-30 21:18:52,145 - pyskl - INFO - Epoch [10][1500/2353] lr: 2.475e-02, eta: 1 day, 15:27:53, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.7788, top5_acc: 0.9619, loss_cls: 3.5316, loss: 3.5316 +2025-05-30 21:19:35,150 - pyskl - INFO - Epoch [10][1600/2353] lr: 2.474e-02, eta: 1 day, 15:27:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9625, loss_cls: 3.5420, loss: 3.5420 +2025-05-30 21:20:18,144 - pyskl - INFO - Epoch [10][1700/2353] lr: 2.474e-02, eta: 1 day, 15:26:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7712, top5_acc: 0.9700, loss_cls: 3.5374, loss: 3.5374 +2025-05-30 21:21:01,083 - pyskl - INFO - Epoch [10][1800/2353] lr: 2.474e-02, eta: 1 day, 15:25:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9613, loss_cls: 3.6024, loss: 3.6024 +2025-05-30 21:21:44,074 - pyskl - INFO - Epoch [10][1900/2353] lr: 2.474e-02, eta: 1 day, 15:24:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9600, loss_cls: 3.6299, loss: 3.6299 +2025-05-30 21:22:26,857 - pyskl - INFO - Epoch [10][2000/2353] lr: 2.473e-02, eta: 1 day, 15:24:13, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9650, loss_cls: 3.5091, loss: 3.5091 +2025-05-30 21:23:09,722 - pyskl - INFO - Epoch [10][2100/2353] lr: 2.473e-02, eta: 1 day, 15:23:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7700, top5_acc: 0.9656, loss_cls: 3.5780, loss: 3.5780 +2025-05-30 21:23:52,670 - pyskl - INFO - Epoch [10][2200/2353] lr: 2.473e-02, eta: 1 day, 15:22:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7812, top5_acc: 0.9613, loss_cls: 3.5171, loss: 3.5171 +2025-05-30 21:24:35,651 - pyskl - INFO - Epoch [10][2300/2353] lr: 2.473e-02, eta: 1 day, 15:22:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9694, loss_cls: 3.4622, loss: 3.4622 +2025-05-30 21:24:58,882 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-05-30 21:34:03,514 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 21:34:03,591 - pyskl - INFO - +top1_acc 0.8171 +top5_acc 0.9743 +2025-05-30 21:34:03,647 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_9.pth was removed +2025-05-30 21:34:04,698 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-05-30 21:34:04,699 - pyskl - INFO - Best top1_acc is 0.8171 at 10 epoch. +2025-05-30 21:34:04,702 - pyskl - INFO - Epoch(val) [10][1184] top1_acc: 0.8171, top5_acc: 0.9743 +2025-05-30 21:35:08,560 - pyskl - INFO - Epoch [11][100/2353] lr: 2.472e-02, eta: 1 day, 15:20:27, time: 0.639, data_time: 0.208, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9712, loss_cls: 3.3886, loss: 3.3886 +2025-05-30 21:35:51,453 - pyskl - INFO - Epoch [11][200/2353] lr: 2.472e-02, eta: 1 day, 15:19:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7831, top5_acc: 0.9656, loss_cls: 3.5081, loss: 3.5081 +2025-05-30 21:36:34,414 - pyskl - INFO - Epoch [11][300/2353] lr: 2.472e-02, eta: 1 day, 15:18:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9663, loss_cls: 3.5703, loss: 3.5703 +2025-05-30 21:37:17,386 - pyskl - INFO - Epoch [11][400/2353] lr: 2.472e-02, eta: 1 day, 15:18:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9663, loss_cls: 3.3918, loss: 3.3918 +2025-05-30 21:38:00,545 - pyskl - INFO - Epoch [11][500/2353] lr: 2.472e-02, eta: 1 day, 15:17:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9794, loss_cls: 3.4127, loss: 3.4127 +2025-05-30 21:38:43,666 - pyskl - INFO - Epoch [11][600/2353] lr: 2.471e-02, eta: 1 day, 15:16:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9719, loss_cls: 3.3697, loss: 3.3697 +2025-05-30 21:39:26,866 - pyskl - INFO - Epoch [11][700/2353] lr: 2.471e-02, eta: 1 day, 15:16:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7619, top5_acc: 0.9656, loss_cls: 3.5723, loss: 3.5723 +2025-05-30 21:40:09,941 - pyskl - INFO - Epoch [11][800/2353] lr: 2.471e-02, eta: 1 day, 15:15:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7725, top5_acc: 0.9663, loss_cls: 3.6039, loss: 3.6039 +2025-05-30 21:40:52,936 - pyskl - INFO - Epoch [11][900/2353] lr: 2.471e-02, eta: 1 day, 15:14:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9681, loss_cls: 3.4989, loss: 3.4989 +2025-05-30 21:41:35,931 - pyskl - INFO - Epoch [11][1000/2353] lr: 2.470e-02, eta: 1 day, 15:14:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7806, top5_acc: 0.9700, loss_cls: 3.5934, loss: 3.5934 +2025-05-30 21:42:18,965 - pyskl - INFO - Epoch [11][1100/2353] lr: 2.470e-02, eta: 1 day, 15:13:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7738, top5_acc: 0.9700, loss_cls: 3.4315, loss: 3.4315 +2025-05-30 21:43:01,947 - pyskl - INFO - Epoch [11][1200/2353] lr: 2.470e-02, eta: 1 day, 15:12:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9650, loss_cls: 3.5997, loss: 3.5997 +2025-05-30 21:43:44,940 - pyskl - INFO - Epoch [11][1300/2353] lr: 2.470e-02, eta: 1 day, 15:11:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9712, loss_cls: 3.5448, loss: 3.5448 +2025-05-30 21:44:28,013 - pyskl - INFO - Epoch [11][1400/2353] lr: 2.469e-02, eta: 1 day, 15:11:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9606, loss_cls: 3.6129, loss: 3.6129 +2025-05-30 21:45:10,973 - pyskl - INFO - Epoch [11][1500/2353] lr: 2.469e-02, eta: 1 day, 15:10:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7819, top5_acc: 0.9637, loss_cls: 3.5599, loss: 3.5599 +2025-05-30 21:45:53,848 - pyskl - INFO - Epoch [11][1600/2353] lr: 2.469e-02, eta: 1 day, 15:09:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9656, loss_cls: 3.5138, loss: 3.5138 +2025-05-30 21:46:36,836 - pyskl - INFO - Epoch [11][1700/2353] lr: 2.469e-02, eta: 1 day, 15:09:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7725, top5_acc: 0.9613, loss_cls: 3.5081, loss: 3.5081 +2025-05-30 21:47:19,832 - pyskl - INFO - Epoch [11][1800/2353] lr: 2.468e-02, eta: 1 day, 15:08:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9669, loss_cls: 3.3984, loss: 3.3984 +2025-05-30 21:48:02,867 - pyskl - INFO - Epoch [11][1900/2353] lr: 2.468e-02, eta: 1 day, 15:07:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7750, top5_acc: 0.9637, loss_cls: 3.5371, loss: 3.5371 +2025-05-30 21:48:45,870 - pyskl - INFO - Epoch [11][2000/2353] lr: 2.468e-02, eta: 1 day, 15:06:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9625, loss_cls: 3.5491, loss: 3.5491 +2025-05-30 21:49:28,857 - pyskl - INFO - Epoch [11][2100/2353] lr: 2.468e-02, eta: 1 day, 15:06:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7731, top5_acc: 0.9606, loss_cls: 3.5357, loss: 3.5357 +2025-05-30 21:50:11,800 - pyskl - INFO - Epoch [11][2200/2353] lr: 2.467e-02, eta: 1 day, 15:05:25, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9600, loss_cls: 3.5553, loss: 3.5553 +2025-05-30 21:50:54,890 - pyskl - INFO - Epoch [11][2300/2353] lr: 2.467e-02, eta: 1 day, 15:04:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9637, loss_cls: 3.3758, loss: 3.3758 +2025-05-30 21:51:18,217 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-05-30 21:52:43,704 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 21:52:43,780 - pyskl - INFO - +top1_acc 0.8120 +top5_acc 0.9793 +2025-05-30 21:52:43,783 - pyskl - INFO - Epoch(val) [11][1184] top1_acc: 0.8120, top5_acc: 0.9793 +2025-05-30 21:53:47,735 - pyskl - INFO - Epoch [12][100/2353] lr: 2.467e-02, eta: 1 day, 15:03:14, time: 0.639, data_time: 0.206, memory: 13127, top1_acc: 0.7688, top5_acc: 0.9669, loss_cls: 3.4978, loss: 3.4978 +2025-05-30 21:54:30,803 - pyskl - INFO - Epoch [12][200/2353] lr: 2.466e-02, eta: 1 day, 15:02:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9663, loss_cls: 3.4307, loss: 3.4307 +2025-05-30 21:55:13,926 - pyskl - INFO - Epoch [12][300/2353] lr: 2.466e-02, eta: 1 day, 15:01:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9788, loss_cls: 3.4410, loss: 3.4410 +2025-05-30 21:55:57,078 - pyskl - INFO - Epoch [12][400/2353] lr: 2.466e-02, eta: 1 day, 15:01:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9656, loss_cls: 3.4917, loss: 3.4917 +2025-05-30 21:56:40,236 - pyskl - INFO - Epoch [12][500/2353] lr: 2.466e-02, eta: 1 day, 15:00:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9587, loss_cls: 3.5162, loss: 3.5162 +2025-05-30 21:57:23,313 - pyskl - INFO - Epoch [12][600/2353] lr: 2.465e-02, eta: 1 day, 14:59:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9706, loss_cls: 3.4331, loss: 3.4331 +2025-05-30 21:58:06,359 - pyskl - INFO - Epoch [12][700/2353] lr: 2.465e-02, eta: 1 day, 14:59:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9675, loss_cls: 3.5308, loss: 3.5308 +2025-05-30 21:58:49,368 - pyskl - INFO - Epoch [12][800/2353] lr: 2.465e-02, eta: 1 day, 14:58:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9694, loss_cls: 3.4056, loss: 3.4056 +2025-05-30 21:59:32,345 - pyskl - INFO - Epoch [12][900/2353] lr: 2.465e-02, eta: 1 day, 14:57:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9656, loss_cls: 3.4970, loss: 3.4970 +2025-05-30 22:00:15,332 - pyskl - INFO - Epoch [12][1000/2353] lr: 2.464e-02, eta: 1 day, 14:56:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9656, loss_cls: 3.5045, loss: 3.5045 +2025-05-30 22:00:58,237 - pyskl - INFO - Epoch [12][1100/2353] lr: 2.464e-02, eta: 1 day, 14:56:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9738, loss_cls: 3.4550, loss: 3.4550 +2025-05-30 22:01:41,183 - pyskl - INFO - Epoch [12][1200/2353] lr: 2.464e-02, eta: 1 day, 14:55:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9594, loss_cls: 3.5165, loss: 3.5165 +2025-05-30 22:02:24,146 - pyskl - INFO - Epoch [12][1300/2353] lr: 2.464e-02, eta: 1 day, 14:54:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9731, loss_cls: 3.3977, loss: 3.3977 +2025-05-30 22:03:07,158 - pyskl - INFO - Epoch [12][1400/2353] lr: 2.463e-02, eta: 1 day, 14:54:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9712, loss_cls: 3.3902, loss: 3.3902 +2025-05-30 22:03:50,083 - pyskl - INFO - Epoch [12][1500/2353] lr: 2.463e-02, eta: 1 day, 14:53:16, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9688, loss_cls: 3.3966, loss: 3.3966 +2025-05-30 22:04:33,087 - pyskl - INFO - Epoch [12][1600/2353] lr: 2.463e-02, eta: 1 day, 14:52:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9706, loss_cls: 3.4800, loss: 3.4800 +2025-05-30 22:05:16,121 - pyskl - INFO - Epoch [12][1700/2353] lr: 2.463e-02, eta: 1 day, 14:51:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9631, loss_cls: 3.4481, loss: 3.4481 +2025-05-30 22:05:59,170 - pyskl - INFO - Epoch [12][1800/2353] lr: 2.462e-02, eta: 1 day, 14:51:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9644, loss_cls: 3.4756, loss: 3.4756 +2025-05-30 22:06:42,224 - pyskl - INFO - Epoch [12][1900/2353] lr: 2.462e-02, eta: 1 day, 14:50:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9744, loss_cls: 3.3953, loss: 3.3953 +2025-05-30 22:07:25,261 - pyskl - INFO - Epoch [12][2000/2353] lr: 2.462e-02, eta: 1 day, 14:49:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9663, loss_cls: 3.4970, loss: 3.4970 +2025-05-30 22:08:08,227 - pyskl - INFO - Epoch [12][2100/2353] lr: 2.461e-02, eta: 1 day, 14:49:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9656, loss_cls: 3.4617, loss: 3.4617 +2025-05-30 22:08:51,239 - pyskl - INFO - Epoch [12][2200/2353] lr: 2.461e-02, eta: 1 day, 14:48:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9700, loss_cls: 3.4621, loss: 3.4621 +2025-05-30 22:09:34,223 - pyskl - INFO - Epoch [12][2300/2353] lr: 2.461e-02, eta: 1 day, 14:47:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9631, loss_cls: 3.4836, loss: 3.4836 +2025-05-30 22:09:57,616 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-05-30 22:11:23,223 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 22:11:23,300 - pyskl - INFO - +top1_acc 0.8325 +top5_acc 0.9829 +2025-05-30 22:11:23,350 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_10.pth was removed +2025-05-30 22:11:24,338 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-05-30 22:11:24,339 - pyskl - INFO - Best top1_acc is 0.8325 at 12 epoch. +2025-05-30 22:11:24,342 - pyskl - INFO - Epoch(val) [12][1184] top1_acc: 0.8325, top5_acc: 0.9829 +2025-05-30 22:12:28,061 - pyskl - INFO - Epoch [13][100/2353] lr: 2.460e-02, eta: 1 day, 14:46:04, time: 0.637, data_time: 0.205, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9756, loss_cls: 3.3028, loss: 3.3028 +2025-05-30 22:13:11,122 - pyskl - INFO - Epoch [13][200/2353] lr: 2.460e-02, eta: 1 day, 14:45:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9756, loss_cls: 3.2442, loss: 3.2442 +2025-05-30 22:13:54,169 - pyskl - INFO - Epoch [13][300/2353] lr: 2.460e-02, eta: 1 day, 14:44:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9669, loss_cls: 3.3259, loss: 3.3259 +2025-05-30 22:14:37,200 - pyskl - INFO - Epoch [13][400/2353] lr: 2.460e-02, eta: 1 day, 14:43:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9712, loss_cls: 3.3128, loss: 3.3128 +2025-05-30 22:15:20,286 - pyskl - INFO - Epoch [13][500/2353] lr: 2.459e-02, eta: 1 day, 14:43:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9712, loss_cls: 3.4062, loss: 3.4062 +2025-05-30 22:16:03,406 - pyskl - INFO - Epoch [13][600/2353] lr: 2.459e-02, eta: 1 day, 14:42:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9731, loss_cls: 3.3307, loss: 3.3307 +2025-05-30 22:16:46,626 - pyskl - INFO - Epoch [13][700/2353] lr: 2.459e-02, eta: 1 day, 14:41:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9750, loss_cls: 3.3824, loss: 3.3824 +2025-05-30 22:17:29,710 - pyskl - INFO - Epoch [13][800/2353] lr: 2.458e-02, eta: 1 day, 14:41:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9681, loss_cls: 3.4409, loss: 3.4409 +2025-05-30 22:18:12,688 - pyskl - INFO - Epoch [13][900/2353] lr: 2.458e-02, eta: 1 day, 14:40:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7812, top5_acc: 0.9600, loss_cls: 3.5012, loss: 3.5012 +2025-05-30 22:18:55,706 - pyskl - INFO - Epoch [13][1000/2353] lr: 2.458e-02, eta: 1 day, 14:39:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9694, loss_cls: 3.3045, loss: 3.3045 +2025-05-30 22:19:38,755 - pyskl - INFO - Epoch [13][1100/2353] lr: 2.458e-02, eta: 1 day, 14:39:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9688, loss_cls: 3.4948, loss: 3.4948 +2025-05-30 22:20:21,787 - pyskl - INFO - Epoch [13][1200/2353] lr: 2.457e-02, eta: 1 day, 14:38:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9650, loss_cls: 3.3756, loss: 3.3756 +2025-05-30 22:21:04,877 - pyskl - INFO - Epoch [13][1300/2353] lr: 2.457e-02, eta: 1 day, 14:37:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9681, loss_cls: 3.5037, loss: 3.5037 +2025-05-30 22:21:47,826 - pyskl - INFO - Epoch [13][1400/2353] lr: 2.457e-02, eta: 1 day, 14:36:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9744, loss_cls: 3.3365, loss: 3.3365 +2025-05-30 22:22:30,722 - pyskl - INFO - Epoch [13][1500/2353] lr: 2.456e-02, eta: 1 day, 14:36:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9688, loss_cls: 3.3943, loss: 3.3943 +2025-05-30 22:23:13,721 - pyskl - INFO - Epoch [13][1600/2353] lr: 2.456e-02, eta: 1 day, 14:35:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9656, loss_cls: 3.4207, loss: 3.4207 +2025-05-30 22:23:56,691 - pyskl - INFO - Epoch [13][1700/2353] lr: 2.456e-02, eta: 1 day, 14:34:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9681, loss_cls: 3.4027, loss: 3.4027 +2025-05-30 22:24:39,704 - pyskl - INFO - Epoch [13][1800/2353] lr: 2.456e-02, eta: 1 day, 14:34:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9700, loss_cls: 3.4289, loss: 3.4289 +2025-05-30 22:25:22,645 - pyskl - INFO - Epoch [13][1900/2353] lr: 2.455e-02, eta: 1 day, 14:33:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9681, loss_cls: 3.3358, loss: 3.3358 +2025-05-30 22:26:05,646 - pyskl - INFO - Epoch [13][2000/2353] lr: 2.455e-02, eta: 1 day, 14:32:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9700, loss_cls: 3.3768, loss: 3.3768 +2025-05-30 22:26:48,634 - pyskl - INFO - Epoch [13][2100/2353] lr: 2.455e-02, eta: 1 day, 14:31:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9681, loss_cls: 3.3651, loss: 3.3651 +2025-05-30 22:27:31,714 - pyskl - INFO - Epoch [13][2200/2353] lr: 2.454e-02, eta: 1 day, 14:31:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9644, loss_cls: 3.3531, loss: 3.3531 +2025-05-30 22:28:14,797 - pyskl - INFO - Epoch [13][2300/2353] lr: 2.454e-02, eta: 1 day, 14:30:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9606, loss_cls: 3.4472, loss: 3.4472 +2025-05-30 22:28:38,138 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-05-30 22:30:03,577 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 22:30:03,654 - pyskl - INFO - +top1_acc 0.8261 +top5_acc 0.9784 +2025-05-30 22:30:03,657 - pyskl - INFO - Epoch(val) [13][1184] top1_acc: 0.8261, top5_acc: 0.9784 +2025-05-30 22:31:07,117 - pyskl - INFO - Epoch [14][100/2353] lr: 2.454e-02, eta: 1 day, 14:28:57, time: 0.635, data_time: 0.204, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9725, loss_cls: 3.2909, loss: 3.2909 +2025-05-30 22:31:50,043 - pyskl - INFO - Epoch [14][200/2353] lr: 2.453e-02, eta: 1 day, 14:28:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9700, loss_cls: 3.3229, loss: 3.3229 +2025-05-30 22:32:33,065 - pyskl - INFO - Epoch [14][300/2353] lr: 2.453e-02, eta: 1 day, 14:27:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9688, loss_cls: 3.3299, loss: 3.3299 +2025-05-30 22:33:16,097 - pyskl - INFO - Epoch [14][400/2353] lr: 2.453e-02, eta: 1 day, 14:26:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9756, loss_cls: 3.3390, loss: 3.3390 +2025-05-30 22:33:59,138 - pyskl - INFO - Epoch [14][500/2353] lr: 2.452e-02, eta: 1 day, 14:26:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9756, loss_cls: 3.3177, loss: 3.3177 +2025-05-30 22:34:42,272 - pyskl - INFO - Epoch [14][600/2353] lr: 2.452e-02, eta: 1 day, 14:25:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9694, loss_cls: 3.3629, loss: 3.3629 +2025-05-30 22:35:25,582 - pyskl - INFO - Epoch [14][700/2353] lr: 2.452e-02, eta: 1 day, 14:24:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9725, loss_cls: 3.2591, loss: 3.2591 +2025-05-30 22:36:09,019 - pyskl - INFO - Epoch [14][800/2353] lr: 2.452e-02, eta: 1 day, 14:24:06, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9650, loss_cls: 3.3067, loss: 3.3067 +2025-05-30 22:36:52,117 - pyskl - INFO - Epoch [14][900/2353] lr: 2.451e-02, eta: 1 day, 14:23:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7781, top5_acc: 0.9637, loss_cls: 3.5329, loss: 3.5329 +2025-05-30 22:37:35,202 - pyskl - INFO - Epoch [14][1000/2353] lr: 2.451e-02, eta: 1 day, 14:22:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9756, loss_cls: 3.2258, loss: 3.2258 +2025-05-30 22:38:18,338 - pyskl - INFO - Epoch [14][1100/2353] lr: 2.451e-02, eta: 1 day, 14:22:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9669, loss_cls: 3.3738, loss: 3.3738 +2025-05-30 22:39:01,400 - pyskl - INFO - Epoch [14][1200/2353] lr: 2.450e-02, eta: 1 day, 14:21:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9712, loss_cls: 3.3400, loss: 3.3400 +2025-05-30 22:39:44,417 - pyskl - INFO - Epoch [14][1300/2353] lr: 2.450e-02, eta: 1 day, 14:20:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9725, loss_cls: 3.3538, loss: 3.3538 +2025-05-30 22:40:27,497 - pyskl - INFO - Epoch [14][1400/2353] lr: 2.450e-02, eta: 1 day, 14:19:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9644, loss_cls: 3.4578, loss: 3.4578 +2025-05-30 22:41:10,596 - pyskl - INFO - Epoch [14][1500/2353] lr: 2.449e-02, eta: 1 day, 14:19:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9788, loss_cls: 3.2889, loss: 3.2889 +2025-05-30 22:41:53,641 - pyskl - INFO - Epoch [14][1600/2353] lr: 2.449e-02, eta: 1 day, 14:18:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9712, loss_cls: 3.3906, loss: 3.3906 +2025-05-30 22:42:36,752 - pyskl - INFO - Epoch [14][1700/2353] lr: 2.449e-02, eta: 1 day, 14:17:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9725, loss_cls: 3.3407, loss: 3.3407 +2025-05-30 22:43:19,839 - pyskl - INFO - Epoch [14][1800/2353] lr: 2.448e-02, eta: 1 day, 14:17:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9669, loss_cls: 3.3601, loss: 3.3601 +2025-05-30 22:44:02,844 - pyskl - INFO - Epoch [14][1900/2353] lr: 2.448e-02, eta: 1 day, 14:16:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9675, loss_cls: 3.4065, loss: 3.4065 +2025-05-30 22:44:45,838 - pyskl - INFO - Epoch [14][2000/2353] lr: 2.448e-02, eta: 1 day, 14:15:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9744, loss_cls: 3.3799, loss: 3.3799 +2025-05-30 22:45:28,806 - pyskl - INFO - Epoch [14][2100/2353] lr: 2.447e-02, eta: 1 day, 14:14:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9681, loss_cls: 3.3027, loss: 3.3027 +2025-05-30 22:46:11,686 - pyskl - INFO - Epoch [14][2200/2353] lr: 2.447e-02, eta: 1 day, 14:14:12, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9681, loss_cls: 3.3649, loss: 3.3649 +2025-05-30 22:46:54,591 - pyskl - INFO - Epoch [14][2300/2353] lr: 2.447e-02, eta: 1 day, 14:13:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7788, top5_acc: 0.9694, loss_cls: 3.3498, loss: 3.3498 +2025-05-30 22:47:17,961 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-05-30 22:48:43,535 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 22:48:43,611 - pyskl - INFO - +top1_acc 0.8104 +top5_acc 0.9781 +2025-05-30 22:48:43,614 - pyskl - INFO - Epoch(val) [14][1184] top1_acc: 0.8104, top5_acc: 0.9781 +2025-05-30 22:49:46,939 - pyskl - INFO - Epoch [15][100/2353] lr: 2.446e-02, eta: 1 day, 14:11:58, time: 0.633, data_time: 0.205, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9731, loss_cls: 3.2605, loss: 3.2605 +2025-05-30 22:50:29,905 - pyskl - INFO - Epoch [15][200/2353] lr: 2.446e-02, eta: 1 day, 14:11:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9688, loss_cls: 3.2908, loss: 3.2908 +2025-05-30 22:51:12,941 - pyskl - INFO - Epoch [15][300/2353] lr: 2.446e-02, eta: 1 day, 14:10:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9738, loss_cls: 3.2593, loss: 3.2593 +2025-05-30 22:51:55,990 - pyskl - INFO - Epoch [15][400/2353] lr: 2.445e-02, eta: 1 day, 14:09:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9675, loss_cls: 3.3287, loss: 3.3287 +2025-05-30 22:52:39,013 - pyskl - INFO - Epoch [15][500/2353] lr: 2.445e-02, eta: 1 day, 14:09:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9669, loss_cls: 3.3924, loss: 3.3924 +2025-05-30 22:53:21,902 - pyskl - INFO - Epoch [15][600/2353] lr: 2.445e-02, eta: 1 day, 14:08:24, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9706, loss_cls: 3.2979, loss: 3.2979 +2025-05-30 22:54:05,095 - pyskl - INFO - Epoch [15][700/2353] lr: 2.444e-02, eta: 1 day, 14:07:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7913, top5_acc: 0.9694, loss_cls: 3.3161, loss: 3.3161 +2025-05-30 22:54:48,265 - pyskl - INFO - Epoch [15][800/2353] lr: 2.444e-02, eta: 1 day, 14:07:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9694, loss_cls: 3.2837, loss: 3.2837 +2025-05-30 22:55:31,399 - pyskl - INFO - Epoch [15][900/2353] lr: 2.444e-02, eta: 1 day, 14:06:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9650, loss_cls: 3.3680, loss: 3.3680 +2025-05-30 22:56:14,094 - pyskl - INFO - Epoch [15][1000/2353] lr: 2.443e-02, eta: 1 day, 14:05:34, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9712, loss_cls: 3.1791, loss: 3.1791 +2025-05-30 22:56:57,186 - pyskl - INFO - Epoch [15][1100/2353] lr: 2.443e-02, eta: 1 day, 14:04:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9731, loss_cls: 3.2385, loss: 3.2385 +2025-05-30 22:57:40,386 - pyskl - INFO - Epoch [15][1200/2353] lr: 2.443e-02, eta: 1 day, 14:04:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9637, loss_cls: 3.4236, loss: 3.4236 +2025-05-30 22:58:23,484 - pyskl - INFO - Epoch [15][1300/2353] lr: 2.442e-02, eta: 1 day, 14:03:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9675, loss_cls: 3.2678, loss: 3.2678 +2025-05-30 22:59:06,601 - pyskl - INFO - Epoch [15][1400/2353] lr: 2.442e-02, eta: 1 day, 14:02:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9725, loss_cls: 3.3128, loss: 3.3128 +2025-05-30 22:59:49,605 - pyskl - INFO - Epoch [15][1500/2353] lr: 2.442e-02, eta: 1 day, 14:02:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9625, loss_cls: 3.4183, loss: 3.4183 +2025-05-30 23:00:32,757 - pyskl - INFO - Epoch [15][1600/2353] lr: 2.441e-02, eta: 1 day, 14:01:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9750, loss_cls: 3.3389, loss: 3.3389 +2025-05-30 23:01:15,696 - pyskl - INFO - Epoch [15][1700/2353] lr: 2.441e-02, eta: 1 day, 14:00:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9756, loss_cls: 3.3228, loss: 3.3228 +2025-05-30 23:01:58,754 - pyskl - INFO - Epoch [15][1800/2353] lr: 2.441e-02, eta: 1 day, 13:59:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9731, loss_cls: 3.2652, loss: 3.2652 +2025-05-30 23:02:41,748 - pyskl - INFO - Epoch [15][1900/2353] lr: 2.440e-02, eta: 1 day, 13:59:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9725, loss_cls: 3.1138, loss: 3.1138 +2025-05-30 23:03:24,671 - pyskl - INFO - Epoch [15][2000/2353] lr: 2.440e-02, eta: 1 day, 13:58:30, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9738, loss_cls: 3.2981, loss: 3.2981 +2025-05-30 23:04:07,518 - pyskl - INFO - Epoch [15][2100/2353] lr: 2.440e-02, eta: 1 day, 13:57:46, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9719, loss_cls: 3.2201, loss: 3.2201 +2025-05-30 23:04:50,386 - pyskl - INFO - Epoch [15][2200/2353] lr: 2.439e-02, eta: 1 day, 13:57:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9712, loss_cls: 3.1853, loss: 3.1853 +2025-05-30 23:05:33,278 - pyskl - INFO - Epoch [15][2300/2353] lr: 2.439e-02, eta: 1 day, 13:56:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9738, loss_cls: 3.2766, loss: 3.2766 +2025-05-30 23:05:56,562 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-05-30 23:15:06,825 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 23:15:06,902 - pyskl - INFO - +top1_acc 0.8307 +top5_acc 0.9828 +2025-05-30 23:15:06,905 - pyskl - INFO - Epoch(val) [15][1184] top1_acc: 0.8307, top5_acc: 0.9828 +2025-05-30 23:16:10,488 - pyskl - INFO - Epoch [16][100/2353] lr: 2.438e-02, eta: 1 day, 13:54:53, time: 0.636, data_time: 0.207, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9750, loss_cls: 3.2175, loss: 3.2175 +2025-05-30 23:16:53,486 - pyskl - INFO - Epoch [16][200/2353] lr: 2.438e-02, eta: 1 day, 13:54:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9781, loss_cls: 3.1193, loss: 3.1193 +2025-05-30 23:17:36,394 - pyskl - INFO - Epoch [16][300/2353] lr: 2.438e-02, eta: 1 day, 13:53:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9725, loss_cls: 3.2984, loss: 3.2984 +2025-05-30 23:18:19,323 - pyskl - INFO - Epoch [16][400/2353] lr: 2.437e-02, eta: 1 day, 13:52:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9762, loss_cls: 3.2837, loss: 3.2837 +2025-05-30 23:19:02,442 - pyskl - INFO - Epoch [16][500/2353] lr: 2.437e-02, eta: 1 day, 13:52:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9706, loss_cls: 3.2457, loss: 3.2457 +2025-05-30 23:19:45,336 - pyskl - INFO - Epoch [16][600/2353] lr: 2.437e-02, eta: 1 day, 13:51:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9688, loss_cls: 3.3292, loss: 3.3292 +2025-05-30 23:20:28,406 - pyskl - INFO - Epoch [16][700/2353] lr: 2.436e-02, eta: 1 day, 13:50:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9738, loss_cls: 3.2138, loss: 3.2138 +2025-05-30 23:21:11,245 - pyskl - INFO - Epoch [16][800/2353] lr: 2.436e-02, eta: 1 day, 13:49:51, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9688, loss_cls: 3.2500, loss: 3.2500 +2025-05-30 23:21:54,177 - pyskl - INFO - Epoch [16][900/2353] lr: 2.436e-02, eta: 1 day, 13:49:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9769, loss_cls: 3.1837, loss: 3.1837 +2025-05-30 23:22:37,202 - pyskl - INFO - Epoch [16][1000/2353] lr: 2.435e-02, eta: 1 day, 13:48:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9706, loss_cls: 3.3185, loss: 3.3185 +2025-05-30 23:23:20,220 - pyskl - INFO - Epoch [16][1100/2353] lr: 2.435e-02, eta: 1 day, 13:47:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9738, loss_cls: 3.2436, loss: 3.2436 +2025-05-30 23:24:03,201 - pyskl - INFO - Epoch [16][1200/2353] lr: 2.435e-02, eta: 1 day, 13:46:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9756, loss_cls: 3.3720, loss: 3.3720 +2025-05-30 23:24:46,168 - pyskl - INFO - Epoch [16][1300/2353] lr: 2.434e-02, eta: 1 day, 13:46:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9650, loss_cls: 3.3114, loss: 3.3114 +2025-05-30 23:25:29,092 - pyskl - INFO - Epoch [16][1400/2353] lr: 2.434e-02, eta: 1 day, 13:45:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9675, loss_cls: 3.3858, loss: 3.3858 +2025-05-30 23:26:12,168 - pyskl - INFO - Epoch [16][1500/2353] lr: 2.434e-02, eta: 1 day, 13:44:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9775, loss_cls: 3.3397, loss: 3.3397 +2025-05-30 23:26:55,209 - pyskl - INFO - Epoch [16][1600/2353] lr: 2.433e-02, eta: 1 day, 13:44:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9750, loss_cls: 3.2127, loss: 3.2127 +2025-05-30 23:27:38,285 - pyskl - INFO - Epoch [16][1700/2353] lr: 2.433e-02, eta: 1 day, 13:43:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9750, loss_cls: 3.2063, loss: 3.2063 +2025-05-30 23:28:21,353 - pyskl - INFO - Epoch [16][1800/2353] lr: 2.432e-02, eta: 1 day, 13:42:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9712, loss_cls: 3.2552, loss: 3.2552 +2025-05-30 23:29:04,434 - pyskl - INFO - Epoch [16][1900/2353] lr: 2.432e-02, eta: 1 day, 13:42:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9744, loss_cls: 3.1468, loss: 3.1468 +2025-05-30 23:29:47,488 - pyskl - INFO - Epoch [16][2000/2353] lr: 2.432e-02, eta: 1 day, 13:41:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9719, loss_cls: 3.2745, loss: 3.2745 +2025-05-30 23:30:30,576 - pyskl - INFO - Epoch [16][2100/2353] lr: 2.431e-02, eta: 1 day, 13:40:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9744, loss_cls: 3.3142, loss: 3.3142 +2025-05-30 23:31:13,668 - pyskl - INFO - Epoch [16][2200/2353] lr: 2.431e-02, eta: 1 day, 13:39:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9738, loss_cls: 3.1748, loss: 3.1748 +2025-05-30 23:31:56,776 - pyskl - INFO - Epoch [16][2300/2353] lr: 2.431e-02, eta: 1 day, 13:39:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9762, loss_cls: 3.1218, loss: 3.1218 +2025-05-30 23:32:20,143 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-05-30 23:33:45,550 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 23:33:45,627 - pyskl - INFO - +top1_acc 0.8524 +top5_acc 0.9842 +2025-05-30 23:33:45,687 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_12.pth was removed +2025-05-30 23:33:46,727 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. +2025-05-30 23:33:46,728 - pyskl - INFO - Best top1_acc is 0.8524 at 16 epoch. +2025-05-30 23:33:46,730 - pyskl - INFO - Epoch(val) [16][1184] top1_acc: 0.8524, top5_acc: 0.9842 +2025-05-30 23:34:50,253 - pyskl - INFO - Epoch [17][100/2353] lr: 2.430e-02, eta: 1 day, 13:37:48, time: 0.635, data_time: 0.204, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9806, loss_cls: 3.1323, loss: 3.1323 +2025-05-30 23:35:33,394 - pyskl - INFO - Epoch [17][200/2353] lr: 2.430e-02, eta: 1 day, 13:37:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9731, loss_cls: 3.1236, loss: 3.1236 +2025-05-30 23:36:16,497 - pyskl - INFO - Epoch [17][300/2353] lr: 2.429e-02, eta: 1 day, 13:36:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9738, loss_cls: 3.2010, loss: 3.2010 +2025-05-30 23:36:59,538 - pyskl - INFO - Epoch [17][400/2353] lr: 2.429e-02, eta: 1 day, 13:35:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9744, loss_cls: 3.1934, loss: 3.1934 +2025-05-30 23:37:42,518 - pyskl - INFO - Epoch [17][500/2353] lr: 2.429e-02, eta: 1 day, 13:34:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9725, loss_cls: 3.2818, loss: 3.2818 +2025-05-30 23:38:25,487 - pyskl - INFO - Epoch [17][600/2353] lr: 2.428e-02, eta: 1 day, 13:34:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9806, loss_cls: 3.1254, loss: 3.1254 +2025-05-30 23:39:08,524 - pyskl - INFO - Epoch [17][700/2353] lr: 2.428e-02, eta: 1 day, 13:33:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9731, loss_cls: 3.2783, loss: 3.2783 +2025-05-30 23:39:51,589 - pyskl - INFO - Epoch [17][800/2353] lr: 2.428e-02, eta: 1 day, 13:32:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9744, loss_cls: 3.2291, loss: 3.2291 +2025-05-30 23:40:34,692 - pyskl - INFO - Epoch [17][900/2353] lr: 2.427e-02, eta: 1 day, 13:32:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9738, loss_cls: 3.1713, loss: 3.1713 +2025-05-30 23:41:17,757 - pyskl - INFO - Epoch [17][1000/2353] lr: 2.427e-02, eta: 1 day, 13:31:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9806, loss_cls: 3.1578, loss: 3.1578 +2025-05-30 23:42:00,731 - pyskl - INFO - Epoch [17][1100/2353] lr: 2.426e-02, eta: 1 day, 13:30:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9750, loss_cls: 3.2317, loss: 3.2317 +2025-05-30 23:42:43,781 - pyskl - INFO - Epoch [17][1200/2353] lr: 2.426e-02, eta: 1 day, 13:30:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9762, loss_cls: 3.1777, loss: 3.1777 +2025-05-30 23:43:26,743 - pyskl - INFO - Epoch [17][1300/2353] lr: 2.426e-02, eta: 1 day, 13:29:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9731, loss_cls: 3.1996, loss: 3.1996 +2025-05-30 23:44:09,680 - pyskl - INFO - Epoch [17][1400/2353] lr: 2.425e-02, eta: 1 day, 13:28:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9769, loss_cls: 3.2084, loss: 3.2084 +2025-05-30 23:44:52,608 - pyskl - INFO - Epoch [17][1500/2353] lr: 2.425e-02, eta: 1 day, 13:27:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9663, loss_cls: 3.3223, loss: 3.3223 +2025-05-30 23:45:35,532 - pyskl - INFO - Epoch [17][1600/2353] lr: 2.425e-02, eta: 1 day, 13:27:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9688, loss_cls: 3.3203, loss: 3.3203 +2025-05-30 23:46:18,489 - pyskl - INFO - Epoch [17][1700/2353] lr: 2.424e-02, eta: 1 day, 13:26:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9712, loss_cls: 3.1689, loss: 3.1689 +2025-05-30 23:47:01,369 - pyskl - INFO - Epoch [17][1800/2353] lr: 2.424e-02, eta: 1 day, 13:25:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9775, loss_cls: 3.0868, loss: 3.0868 +2025-05-30 23:47:44,253 - pyskl - INFO - Epoch [17][1900/2353] lr: 2.423e-02, eta: 1 day, 13:24:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9719, loss_cls: 3.2034, loss: 3.2034 +2025-05-30 23:48:27,113 - pyskl - INFO - Epoch [17][2000/2353] lr: 2.423e-02, eta: 1 day, 13:24:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9781, loss_cls: 3.0834, loss: 3.0834 +2025-05-30 23:49:10,015 - pyskl - INFO - Epoch [17][2100/2353] lr: 2.423e-02, eta: 1 day, 13:23:30, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9681, loss_cls: 3.2353, loss: 3.2353 +2025-05-30 23:49:52,840 - pyskl - INFO - Epoch [17][2200/2353] lr: 2.422e-02, eta: 1 day, 13:22:46, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9712, loss_cls: 3.2618, loss: 3.2618 +2025-05-30 23:50:35,717 - pyskl - INFO - Epoch [17][2300/2353] lr: 2.422e-02, eta: 1 day, 13:22:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9719, loss_cls: 3.2389, loss: 3.2389 +2025-05-30 23:50:58,865 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-05-30 23:52:24,394 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 23:52:24,472 - pyskl - INFO - +top1_acc 0.8410 +top5_acc 0.9836 +2025-05-30 23:52:24,486 - pyskl - INFO - Epoch(val) [17][1184] top1_acc: 0.8410, top5_acc: 0.9836 +2025-05-30 23:53:28,342 - pyskl - INFO - Epoch [18][100/2353] lr: 2.421e-02, eta: 1 day, 13:20:41, time: 0.638, data_time: 0.209, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9794, loss_cls: 3.1756, loss: 3.1756 +2025-05-30 23:54:11,350 - pyskl - INFO - Epoch [18][200/2353] lr: 2.421e-02, eta: 1 day, 13:19:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9725, loss_cls: 3.1473, loss: 3.1473 +2025-05-30 23:54:54,392 - pyskl - INFO - Epoch [18][300/2353] lr: 2.420e-02, eta: 1 day, 13:19:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9744, loss_cls: 3.3389, loss: 3.3389 +2025-05-30 23:55:37,509 - pyskl - INFO - Epoch [18][400/2353] lr: 2.420e-02, eta: 1 day, 13:18:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9756, loss_cls: 3.1997, loss: 3.1997 +2025-05-30 23:56:20,667 - pyskl - INFO - Epoch [18][500/2353] lr: 2.420e-02, eta: 1 day, 13:17:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9744, loss_cls: 3.1699, loss: 3.1699 +2025-05-30 23:57:03,769 - pyskl - INFO - Epoch [18][600/2353] lr: 2.419e-02, eta: 1 day, 13:17:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9819, loss_cls: 3.0537, loss: 3.0537 +2025-05-30 23:57:46,878 - pyskl - INFO - Epoch [18][700/2353] lr: 2.419e-02, eta: 1 day, 13:16:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9731, loss_cls: 3.0630, loss: 3.0630 +2025-05-30 23:58:29,892 - pyskl - INFO - Epoch [18][800/2353] lr: 2.418e-02, eta: 1 day, 13:15:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9669, loss_cls: 3.1880, loss: 3.1880 +2025-05-30 23:59:13,021 - pyskl - INFO - Epoch [18][900/2353] lr: 2.418e-02, eta: 1 day, 13:15:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9669, loss_cls: 3.2869, loss: 3.2869 +2025-05-30 23:59:55,954 - pyskl - INFO - Epoch [18][1000/2353] lr: 2.418e-02, eta: 1 day, 13:14:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9688, loss_cls: 3.2375, loss: 3.2375 +2025-05-31 00:00:39,032 - pyskl - INFO - Epoch [18][1100/2353] lr: 2.417e-02, eta: 1 day, 13:13:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9744, loss_cls: 3.2520, loss: 3.2520 +2025-05-31 00:01:22,041 - pyskl - INFO - Epoch [18][1200/2353] lr: 2.417e-02, eta: 1 day, 13:12:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9694, loss_cls: 3.1985, loss: 3.1985 +2025-05-31 00:02:05,115 - pyskl - INFO - Epoch [18][1300/2353] lr: 2.416e-02, eta: 1 day, 13:12:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9794, loss_cls: 3.2203, loss: 3.2203 +2025-05-31 00:02:48,070 - pyskl - INFO - Epoch [18][1400/2353] lr: 2.416e-02, eta: 1 day, 13:11:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9812, loss_cls: 3.0795, loss: 3.0795 +2025-05-31 00:03:30,997 - pyskl - INFO - Epoch [18][1500/2353] lr: 2.416e-02, eta: 1 day, 13:10:47, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9744, loss_cls: 3.2275, loss: 3.2275 +2025-05-31 00:04:14,024 - pyskl - INFO - Epoch [18][1600/2353] lr: 2.415e-02, eta: 1 day, 13:10:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9794, loss_cls: 3.1139, loss: 3.1139 +2025-05-31 00:04:56,953 - pyskl - INFO - Epoch [18][1700/2353] lr: 2.415e-02, eta: 1 day, 13:09:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9681, loss_cls: 3.2718, loss: 3.2718 +2025-05-31 00:05:39,952 - pyskl - INFO - Epoch [18][1800/2353] lr: 2.414e-02, eta: 1 day, 13:08:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9706, loss_cls: 3.2330, loss: 3.2330 +2025-05-31 00:06:23,013 - pyskl - INFO - Epoch [18][1900/2353] lr: 2.414e-02, eta: 1 day, 13:07:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9744, loss_cls: 3.2146, loss: 3.2146 +2025-05-31 00:07:06,049 - pyskl - INFO - Epoch [18][2000/2353] lr: 2.414e-02, eta: 1 day, 13:07:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9756, loss_cls: 3.1071, loss: 3.1071 +2025-05-31 00:07:49,017 - pyskl - INFO - Epoch [18][2100/2353] lr: 2.413e-02, eta: 1 day, 13:06:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9744, loss_cls: 3.2139, loss: 3.2139 +2025-05-31 00:08:32,056 - pyskl - INFO - Epoch [18][2200/2353] lr: 2.413e-02, eta: 1 day, 13:05:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9775, loss_cls: 3.1222, loss: 3.1222 +2025-05-31 00:09:15,089 - pyskl - INFO - Epoch [18][2300/2353] lr: 2.412e-02, eta: 1 day, 13:05:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9725, loss_cls: 3.1467, loss: 3.1467 +2025-05-31 00:09:38,430 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-05-31 00:11:03,903 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 00:11:03,980 - pyskl - INFO - +top1_acc 0.8338 +top5_acc 0.9837 +2025-05-31 00:11:03,983 - pyskl - INFO - Epoch(val) [18][1184] top1_acc: 0.8338, top5_acc: 0.9837 +2025-05-31 00:12:07,610 - pyskl - INFO - Epoch [19][100/2353] lr: 2.412e-02, eta: 1 day, 13:03:44, time: 0.636, data_time: 0.201, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9781, loss_cls: 3.0389, loss: 3.0389 +2025-05-31 00:12:50,930 - pyskl - INFO - Epoch [19][200/2353] lr: 2.411e-02, eta: 1 day, 13:03:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9769, loss_cls: 3.1006, loss: 3.1006 +2025-05-31 00:13:34,139 - pyskl - INFO - Epoch [19][300/2353] lr: 2.411e-02, eta: 1 day, 13:02:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9731, loss_cls: 3.2292, loss: 3.2292 +2025-05-31 00:14:17,174 - pyskl - INFO - Epoch [19][400/2353] lr: 2.411e-02, eta: 1 day, 13:01:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9781, loss_cls: 3.0004, loss: 3.0004 +2025-05-31 00:15:00,226 - pyskl - INFO - Epoch [19][500/2353] lr: 2.410e-02, eta: 1 day, 13:00:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9762, loss_cls: 3.2117, loss: 3.2117 +2025-05-31 00:15:43,377 - pyskl - INFO - Epoch [19][600/2353] lr: 2.410e-02, eta: 1 day, 13:00:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9775, loss_cls: 3.1437, loss: 3.1437 +2025-05-31 00:16:26,565 - pyskl - INFO - Epoch [19][700/2353] lr: 2.409e-02, eta: 1 day, 12:59:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9769, loss_cls: 3.0641, loss: 3.0641 +2025-05-31 00:17:09,546 - pyskl - INFO - Epoch [19][800/2353] lr: 2.409e-02, eta: 1 day, 12:58:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9781, loss_cls: 3.2201, loss: 3.2201 +2025-05-31 00:17:52,628 - pyskl - INFO - Epoch [19][900/2353] lr: 2.409e-02, eta: 1 day, 12:58:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9688, loss_cls: 3.1982, loss: 3.1982 +2025-05-31 00:18:35,725 - pyskl - INFO - Epoch [19][1000/2353] lr: 2.408e-02, eta: 1 day, 12:57:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9750, loss_cls: 3.2025, loss: 3.2025 +2025-05-31 00:19:18,743 - pyskl - INFO - Epoch [19][1100/2353] lr: 2.408e-02, eta: 1 day, 12:56:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9738, loss_cls: 3.1804, loss: 3.1804 +2025-05-31 00:20:01,934 - pyskl - INFO - Epoch [19][1200/2353] lr: 2.407e-02, eta: 1 day, 12:56:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9744, loss_cls: 3.1968, loss: 3.1968 +2025-05-31 00:20:45,053 - pyskl - INFO - Epoch [19][1300/2353] lr: 2.407e-02, eta: 1 day, 12:55:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9794, loss_cls: 3.1833, loss: 3.1833 +2025-05-31 00:21:28,116 - pyskl - INFO - Epoch [19][1400/2353] lr: 2.406e-02, eta: 1 day, 12:54:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9663, loss_cls: 3.2742, loss: 3.2742 +2025-05-31 00:22:11,170 - pyskl - INFO - Epoch [19][1500/2353] lr: 2.406e-02, eta: 1 day, 12:53:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9788, loss_cls: 3.0831, loss: 3.0831 +2025-05-31 00:22:54,093 - pyskl - INFO - Epoch [19][1600/2353] lr: 2.406e-02, eta: 1 day, 12:53:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9700, loss_cls: 3.1758, loss: 3.1758 +2025-05-31 00:23:37,044 - pyskl - INFO - Epoch [19][1700/2353] lr: 2.405e-02, eta: 1 day, 12:52:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9694, loss_cls: 3.1979, loss: 3.1979 +2025-05-31 00:24:20,105 - pyskl - INFO - Epoch [19][1800/2353] lr: 2.405e-02, eta: 1 day, 12:51:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9731, loss_cls: 3.1119, loss: 3.1119 +2025-05-31 00:25:03,088 - pyskl - INFO - Epoch [19][1900/2353] lr: 2.404e-02, eta: 1 day, 12:51:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9619, loss_cls: 3.2934, loss: 3.2934 +2025-05-31 00:25:46,125 - pyskl - INFO - Epoch [19][2000/2353] lr: 2.404e-02, eta: 1 day, 12:50:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9812, loss_cls: 3.1096, loss: 3.1096 +2025-05-31 00:26:29,156 - pyskl - INFO - Epoch [19][2100/2353] lr: 2.403e-02, eta: 1 day, 12:49:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9788, loss_cls: 3.1737, loss: 3.1737 +2025-05-31 00:27:12,161 - pyskl - INFO - Epoch [19][2200/2353] lr: 2.403e-02, eta: 1 day, 12:48:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9769, loss_cls: 3.1824, loss: 3.1824 +2025-05-31 00:27:55,226 - pyskl - INFO - Epoch [19][2300/2353] lr: 2.403e-02, eta: 1 day, 12:48:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9675, loss_cls: 3.2523, loss: 3.2523 +2025-05-31 00:28:18,618 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-05-31 00:29:43,904 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 00:29:43,980 - pyskl - INFO - +top1_acc 0.8653 +top5_acc 0.9854 +2025-05-31 00:29:44,040 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_16.pth was removed +2025-05-31 00:29:45,091 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2025-05-31 00:29:45,091 - pyskl - INFO - Best top1_acc is 0.8653 at 19 epoch. +2025-05-31 00:29:45,094 - pyskl - INFO - Epoch(val) [19][1184] top1_acc: 0.8653, top5_acc: 0.9854 +2025-05-31 00:30:48,862 - pyskl - INFO - Epoch [20][100/2353] lr: 2.402e-02, eta: 1 day, 12:46:55, time: 0.638, data_time: 0.204, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9762, loss_cls: 3.0586, loss: 3.0586 +2025-05-31 00:31:32,007 - pyskl - INFO - Epoch [20][200/2353] lr: 2.401e-02, eta: 1 day, 12:46:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9781, loss_cls: 3.1545, loss: 3.1545 +2025-05-31 00:32:15,070 - pyskl - INFO - Epoch [20][300/2353] lr: 2.401e-02, eta: 1 day, 12:45:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9800, loss_cls: 2.9778, loss: 2.9778 +2025-05-31 00:32:58,092 - pyskl - INFO - Epoch [20][400/2353] lr: 2.401e-02, eta: 1 day, 12:44:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9769, loss_cls: 3.1504, loss: 3.1504 +2025-05-31 00:33:41,373 - pyskl - INFO - Epoch [20][500/2353] lr: 2.400e-02, eta: 1 day, 12:44:07, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9812, loss_cls: 3.1223, loss: 3.1223 +2025-05-31 00:34:24,513 - pyskl - INFO - Epoch [20][600/2353] lr: 2.400e-02, eta: 1 day, 12:43:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9712, loss_cls: 3.2050, loss: 3.2050 +2025-05-31 00:35:07,646 - pyskl - INFO - Epoch [20][700/2353] lr: 2.399e-02, eta: 1 day, 12:42:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9738, loss_cls: 3.0688, loss: 3.0688 +2025-05-31 00:35:50,745 - pyskl - INFO - Epoch [20][800/2353] lr: 2.399e-02, eta: 1 day, 12:42:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9731, loss_cls: 3.1187, loss: 3.1187 +2025-05-31 00:36:33,828 - pyskl - INFO - Epoch [20][900/2353] lr: 2.398e-02, eta: 1 day, 12:41:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9794, loss_cls: 3.0289, loss: 3.0289 +2025-05-31 00:37:16,857 - pyskl - INFO - Epoch [20][1000/2353] lr: 2.398e-02, eta: 1 day, 12:40:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9762, loss_cls: 3.0990, loss: 3.0990 +2025-05-31 00:37:59,821 - pyskl - INFO - Epoch [20][1100/2353] lr: 2.398e-02, eta: 1 day, 12:39:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9731, loss_cls: 3.1150, loss: 3.1150 +2025-05-31 00:38:42,795 - pyskl - INFO - Epoch [20][1200/2353] lr: 2.397e-02, eta: 1 day, 12:39:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9762, loss_cls: 3.2365, loss: 3.2365 +2025-05-31 00:39:25,965 - pyskl - INFO - Epoch [20][1300/2353] lr: 2.397e-02, eta: 1 day, 12:38:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9750, loss_cls: 3.1498, loss: 3.1498 +2025-05-31 00:40:09,048 - pyskl - INFO - Epoch [20][1400/2353] lr: 2.396e-02, eta: 1 day, 12:37:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9750, loss_cls: 3.1936, loss: 3.1936 +2025-05-31 00:40:52,065 - pyskl - INFO - Epoch [20][1500/2353] lr: 2.396e-02, eta: 1 day, 12:37:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9681, loss_cls: 3.2004, loss: 3.2004 +2025-05-31 00:41:35,044 - pyskl - INFO - Epoch [20][1600/2353] lr: 2.395e-02, eta: 1 day, 12:36:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9756, loss_cls: 3.1050, loss: 3.1050 +2025-05-31 00:42:17,985 - pyskl - INFO - Epoch [20][1700/2353] lr: 2.395e-02, eta: 1 day, 12:35:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9756, loss_cls: 3.2498, loss: 3.2498 +2025-05-31 00:43:00,894 - pyskl - INFO - Epoch [20][1800/2353] lr: 2.394e-02, eta: 1 day, 12:34:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9725, loss_cls: 3.1376, loss: 3.1376 +2025-05-31 00:43:43,802 - pyskl - INFO - Epoch [20][1900/2353] lr: 2.394e-02, eta: 1 day, 12:34:11, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9738, loss_cls: 3.2380, loss: 3.2380 +2025-05-31 00:44:26,689 - pyskl - INFO - Epoch [20][2000/2353] lr: 2.394e-02, eta: 1 day, 12:33:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9750, loss_cls: 3.0899, loss: 3.0899 +2025-05-31 00:45:09,680 - pyskl - INFO - Epoch [20][2100/2353] lr: 2.393e-02, eta: 1 day, 12:32:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9731, loss_cls: 3.1688, loss: 3.1688 +2025-05-31 00:45:52,598 - pyskl - INFO - Epoch [20][2200/2353] lr: 2.393e-02, eta: 1 day, 12:32:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9775, loss_cls: 3.0357, loss: 3.0357 +2025-05-31 00:46:35,131 - pyskl - INFO - Epoch [20][2300/2353] lr: 2.392e-02, eta: 1 day, 12:31:15, time: 0.425, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9706, loss_cls: 3.1322, loss: 3.1322 +2025-05-31 00:46:58,436 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-05-31 00:56:11,893 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 00:56:11,968 - pyskl - INFO - +top1_acc 0.8328 +top5_acc 0.9838 +2025-05-31 00:56:11,972 - pyskl - INFO - Epoch(val) [20][1184] top1_acc: 0.8328, top5_acc: 0.9838 +2025-05-31 00:57:15,534 - pyskl - INFO - Epoch [21][100/2353] lr: 2.391e-02, eta: 1 day, 12:29:55, time: 0.636, data_time: 0.203, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9750, loss_cls: 3.0771, loss: 3.0771 +2025-05-31 00:57:58,641 - pyskl - INFO - Epoch [21][200/2353] lr: 2.391e-02, eta: 1 day, 12:29:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9788, loss_cls: 3.1087, loss: 3.1087 +2025-05-31 00:58:41,788 - pyskl - INFO - Epoch [21][300/2353] lr: 2.391e-02, eta: 1 day, 12:28:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9750, loss_cls: 3.1975, loss: 3.1975 +2025-05-31 00:59:24,843 - pyskl - INFO - Epoch [21][400/2353] lr: 2.390e-02, eta: 1 day, 12:27:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9769, loss_cls: 3.0529, loss: 3.0529 +2025-05-31 01:00:07,951 - pyskl - INFO - Epoch [21][500/2353] lr: 2.390e-02, eta: 1 day, 12:27:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9838, loss_cls: 3.1470, loss: 3.1470 +2025-05-31 01:00:51,071 - pyskl - INFO - Epoch [21][600/2353] lr: 2.389e-02, eta: 1 day, 12:26:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9681, loss_cls: 3.2580, loss: 3.2580 +2025-05-31 01:01:34,094 - pyskl - INFO - Epoch [21][700/2353] lr: 2.389e-02, eta: 1 day, 12:25:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9769, loss_cls: 3.1720, loss: 3.1720 +2025-05-31 01:02:17,102 - pyskl - INFO - Epoch [21][800/2353] lr: 2.388e-02, eta: 1 day, 12:24:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9750, loss_cls: 3.1548, loss: 3.1548 +2025-05-31 01:03:00,210 - pyskl - INFO - Epoch [21][900/2353] lr: 2.388e-02, eta: 1 day, 12:24:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9700, loss_cls: 3.2064, loss: 3.2064 +2025-05-31 01:03:43,271 - pyskl - INFO - Epoch [21][1000/2353] lr: 2.387e-02, eta: 1 day, 12:23:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9725, loss_cls: 3.1730, loss: 3.1730 +2025-05-31 01:04:26,261 - pyskl - INFO - Epoch [21][1100/2353] lr: 2.387e-02, eta: 1 day, 12:22:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9788, loss_cls: 3.1177, loss: 3.1177 +2025-05-31 01:05:09,287 - pyskl - INFO - Epoch [21][1200/2353] lr: 2.386e-02, eta: 1 day, 12:22:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9769, loss_cls: 2.9787, loss: 2.9787 +2025-05-31 01:05:52,313 - pyskl - INFO - Epoch [21][1300/2353] lr: 2.386e-02, eta: 1 day, 12:21:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9744, loss_cls: 3.1343, loss: 3.1343 +2025-05-31 01:06:35,381 - pyskl - INFO - Epoch [21][1400/2353] lr: 2.386e-02, eta: 1 day, 12:20:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9750, loss_cls: 3.0978, loss: 3.0978 +2025-05-31 01:07:18,413 - pyskl - INFO - Epoch [21][1500/2353] lr: 2.385e-02, eta: 1 day, 12:20:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9794, loss_cls: 3.1550, loss: 3.1550 +2025-05-31 01:08:01,385 - pyskl - INFO - Epoch [21][1600/2353] lr: 2.385e-02, eta: 1 day, 12:19:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9762, loss_cls: 3.1675, loss: 3.1675 +2025-05-31 01:08:44,362 - pyskl - INFO - Epoch [21][1700/2353] lr: 2.384e-02, eta: 1 day, 12:18:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9769, loss_cls: 3.1589, loss: 3.1589 +2025-05-31 01:09:27,345 - pyskl - INFO - Epoch [21][1800/2353] lr: 2.384e-02, eta: 1 day, 12:17:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9756, loss_cls: 3.0433, loss: 3.0433 +2025-05-31 01:10:10,416 - pyskl - INFO - Epoch [21][1900/2353] lr: 2.383e-02, eta: 1 day, 12:17:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9819, loss_cls: 3.0315, loss: 3.0315 +2025-05-31 01:10:53,482 - pyskl - INFO - Epoch [21][2000/2353] lr: 2.383e-02, eta: 1 day, 12:16:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9750, loss_cls: 3.1945, loss: 3.1945 +2025-05-31 01:11:36,507 - pyskl - INFO - Epoch [21][2100/2353] lr: 2.382e-02, eta: 1 day, 12:15:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9775, loss_cls: 3.0741, loss: 3.0741 +2025-05-31 01:12:19,598 - pyskl - INFO - Epoch [21][2200/2353] lr: 2.382e-02, eta: 1 day, 12:15:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9719, loss_cls: 3.1606, loss: 3.1606 +2025-05-31 01:13:02,758 - pyskl - INFO - Epoch [21][2300/2353] lr: 2.381e-02, eta: 1 day, 12:14:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9775, loss_cls: 3.0891, loss: 3.0891 +2025-05-31 01:13:26,171 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-05-31 01:14:51,685 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 01:14:51,762 - pyskl - INFO - +top1_acc 0.8495 +top5_acc 0.9845 +2025-05-31 01:14:51,766 - pyskl - INFO - Epoch(val) [21][1184] top1_acc: 0.8495, top5_acc: 0.9845 +2025-05-31 01:15:54,872 - pyskl - INFO - Epoch [22][100/2353] lr: 2.381e-02, eta: 1 day, 12:13:00, time: 0.631, data_time: 0.202, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9800, loss_cls: 3.0091, loss: 3.0091 +2025-05-31 01:16:37,913 - pyskl - INFO - Epoch [22][200/2353] lr: 2.380e-02, eta: 1 day, 12:12:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9756, loss_cls: 3.0462, loss: 3.0462 +2025-05-31 01:17:20,840 - pyskl - INFO - Epoch [22][300/2353] lr: 2.380e-02, eta: 1 day, 12:11:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9788, loss_cls: 3.0854, loss: 3.0854 +2025-05-31 01:18:03,810 - pyskl - INFO - Epoch [22][400/2353] lr: 2.379e-02, eta: 1 day, 12:10:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9756, loss_cls: 3.0307, loss: 3.0307 +2025-05-31 01:18:47,016 - pyskl - INFO - Epoch [22][500/2353] lr: 2.379e-02, eta: 1 day, 12:10:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9725, loss_cls: 3.0046, loss: 3.0046 +2025-05-31 01:19:30,296 - pyskl - INFO - Epoch [22][600/2353] lr: 2.378e-02, eta: 1 day, 12:09:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9725, loss_cls: 3.0207, loss: 3.0207 +2025-05-31 01:20:13,420 - pyskl - INFO - Epoch [22][700/2353] lr: 2.378e-02, eta: 1 day, 12:08:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9781, loss_cls: 3.0772, loss: 3.0772 +2025-05-31 01:20:56,578 - pyskl - INFO - Epoch [22][800/2353] lr: 2.377e-02, eta: 1 day, 12:08:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9738, loss_cls: 3.1160, loss: 3.1160 +2025-05-31 01:21:39,736 - pyskl - INFO - Epoch [22][900/2353] lr: 2.377e-02, eta: 1 day, 12:07:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9738, loss_cls: 3.1382, loss: 3.1382 +2025-05-31 01:22:22,739 - pyskl - INFO - Epoch [22][1000/2353] lr: 2.376e-02, eta: 1 day, 12:06:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9731, loss_cls: 3.1118, loss: 3.1118 +2025-05-31 01:23:05,514 - pyskl - INFO - Epoch [22][1100/2353] lr: 2.376e-02, eta: 1 day, 12:05:56, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9712, loss_cls: 3.0509, loss: 3.0509 +2025-05-31 01:23:48,455 - pyskl - INFO - Epoch [22][1200/2353] lr: 2.375e-02, eta: 1 day, 12:05:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9825, loss_cls: 3.1739, loss: 3.1739 +2025-05-31 01:24:31,475 - pyskl - INFO - Epoch [22][1300/2353] lr: 2.375e-02, eta: 1 day, 12:04:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9700, loss_cls: 3.1617, loss: 3.1617 +2025-05-31 01:25:14,506 - pyskl - INFO - Epoch [22][1400/2353] lr: 2.374e-02, eta: 1 day, 12:03:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9744, loss_cls: 3.0349, loss: 3.0349 +2025-05-31 01:25:57,541 - pyskl - INFO - Epoch [22][1500/2353] lr: 2.374e-02, eta: 1 day, 12:03:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9706, loss_cls: 3.2091, loss: 3.2091 +2025-05-31 01:26:40,523 - pyskl - INFO - Epoch [22][1600/2353] lr: 2.373e-02, eta: 1 day, 12:02:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9731, loss_cls: 3.1872, loss: 3.1872 +2025-05-31 01:27:23,449 - pyskl - INFO - Epoch [22][1700/2353] lr: 2.373e-02, eta: 1 day, 12:01:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9750, loss_cls: 3.1267, loss: 3.1267 +2025-05-31 01:28:06,444 - pyskl - INFO - Epoch [22][1800/2353] lr: 2.372e-02, eta: 1 day, 12:00:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9762, loss_cls: 2.9307, loss: 2.9307 +2025-05-31 01:28:49,357 - pyskl - INFO - Epoch [22][1900/2353] lr: 2.372e-02, eta: 1 day, 12:00:12, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9775, loss_cls: 3.1544, loss: 3.1544 +2025-05-31 01:29:32,350 - pyskl - INFO - Epoch [22][2000/2353] lr: 2.371e-02, eta: 1 day, 11:59:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9800, loss_cls: 3.0371, loss: 3.0371 +2025-05-31 01:30:15,337 - pyskl - INFO - Epoch [22][2100/2353] lr: 2.371e-02, eta: 1 day, 11:58:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9744, loss_cls: 3.1517, loss: 3.1517 +2025-05-31 01:30:58,461 - pyskl - INFO - Epoch [22][2200/2353] lr: 2.370e-02, eta: 1 day, 11:58:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9694, loss_cls: 3.0817, loss: 3.0817 +2025-05-31 01:31:41,545 - pyskl - INFO - Epoch [22][2300/2353] lr: 2.370e-02, eta: 1 day, 11:57:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9744, loss_cls: 3.0803, loss: 3.0803 +2025-05-31 01:32:04,980 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-05-31 01:33:30,395 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 01:33:30,472 - pyskl - INFO - +top1_acc 0.8671 +top5_acc 0.9867 +2025-05-31 01:33:30,530 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_19.pth was removed +2025-05-31 01:33:31,571 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. +2025-05-31 01:33:31,572 - pyskl - INFO - Best top1_acc is 0.8671 at 22 epoch. +2025-05-31 01:33:31,575 - pyskl - INFO - Epoch(val) [22][1184] top1_acc: 0.8671, top5_acc: 0.9867 +2025-05-31 01:34:35,189 - pyskl - INFO - Epoch [23][100/2353] lr: 2.369e-02, eta: 1 day, 11:56:04, time: 0.636, data_time: 0.204, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9794, loss_cls: 3.0364, loss: 3.0364 +2025-05-31 01:35:18,343 - pyskl - INFO - Epoch [23][200/2353] lr: 2.369e-02, eta: 1 day, 11:55:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9750, loss_cls: 2.9841, loss: 2.9841 +2025-05-31 01:36:01,521 - pyskl - INFO - Epoch [23][300/2353] lr: 2.368e-02, eta: 1 day, 11:54:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 2.8961, loss: 2.8961 +2025-05-31 01:36:44,556 - pyskl - INFO - Epoch [23][400/2353] lr: 2.368e-02, eta: 1 day, 11:53:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9869, loss_cls: 3.0144, loss: 3.0144 +2025-05-31 01:37:27,769 - pyskl - INFO - Epoch [23][500/2353] lr: 2.367e-02, eta: 1 day, 11:53:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9812, loss_cls: 3.0392, loss: 3.0392 +2025-05-31 01:38:10,958 - pyskl - INFO - Epoch [23][600/2353] lr: 2.367e-02, eta: 1 day, 11:52:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9762, loss_cls: 2.9942, loss: 2.9942 +2025-05-31 01:38:54,258 - pyskl - INFO - Epoch [23][700/2353] lr: 2.366e-02, eta: 1 day, 11:51:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9800, loss_cls: 3.0207, loss: 3.0207 +2025-05-31 01:39:37,242 - pyskl - INFO - Epoch [23][800/2353] lr: 2.366e-02, eta: 1 day, 11:51:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9775, loss_cls: 3.0103, loss: 3.0103 +2025-05-31 01:40:20,266 - pyskl - INFO - Epoch [23][900/2353] lr: 2.365e-02, eta: 1 day, 11:50:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9794, loss_cls: 3.0779, loss: 3.0779 +2025-05-31 01:41:03,290 - pyskl - INFO - Epoch [23][1000/2353] lr: 2.365e-02, eta: 1 day, 11:49:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9819, loss_cls: 3.0009, loss: 3.0009 +2025-05-31 01:41:46,291 - pyskl - INFO - Epoch [23][1100/2353] lr: 2.364e-02, eta: 1 day, 11:49:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9756, loss_cls: 3.1824, loss: 3.1824 +2025-05-31 01:42:29,387 - pyskl - INFO - Epoch [23][1200/2353] lr: 2.364e-02, eta: 1 day, 11:48:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9775, loss_cls: 3.1350, loss: 3.1350 +2025-05-31 01:43:12,485 - pyskl - INFO - Epoch [23][1300/2353] lr: 2.363e-02, eta: 1 day, 11:47:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9775, loss_cls: 3.0623, loss: 3.0623 +2025-05-31 01:43:55,495 - pyskl - INFO - Epoch [23][1400/2353] lr: 2.363e-02, eta: 1 day, 11:46:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9775, loss_cls: 3.0752, loss: 3.0752 +2025-05-31 01:44:38,520 - pyskl - INFO - Epoch [23][1500/2353] lr: 2.362e-02, eta: 1 day, 11:46:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9744, loss_cls: 3.1834, loss: 3.1834 +2025-05-31 01:45:21,658 - pyskl - INFO - Epoch [23][1600/2353] lr: 2.362e-02, eta: 1 day, 11:45:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9794, loss_cls: 3.0545, loss: 3.0545 +2025-05-31 01:46:04,778 - pyskl - INFO - Epoch [23][1700/2353] lr: 2.361e-02, eta: 1 day, 11:44:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9725, loss_cls: 3.0911, loss: 3.0911 +2025-05-31 01:46:47,780 - pyskl - INFO - Epoch [23][1800/2353] lr: 2.361e-02, eta: 1 day, 11:44:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9712, loss_cls: 3.1832, loss: 3.1832 +2025-05-31 01:47:30,780 - pyskl - INFO - Epoch [23][1900/2353] lr: 2.360e-02, eta: 1 day, 11:43:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9769, loss_cls: 3.0262, loss: 3.0262 +2025-05-31 01:48:13,796 - pyskl - INFO - Epoch [23][2000/2353] lr: 2.360e-02, eta: 1 day, 11:42:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9663, loss_cls: 3.2202, loss: 3.2202 +2025-05-31 01:48:56,777 - pyskl - INFO - Epoch [23][2100/2353] lr: 2.359e-02, eta: 1 day, 11:41:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9750, loss_cls: 3.0886, loss: 3.0886 +2025-05-31 01:49:39,837 - pyskl - INFO - Epoch [23][2200/2353] lr: 2.359e-02, eta: 1 day, 11:41:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9781, loss_cls: 3.0462, loss: 3.0462 +2025-05-31 01:50:22,913 - pyskl - INFO - Epoch [23][2300/2353] lr: 2.358e-02, eta: 1 day, 11:40:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9775, loss_cls: 3.0932, loss: 3.0932 +2025-05-31 01:50:46,305 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-05-31 01:52:11,437 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 01:52:11,514 - pyskl - INFO - +top1_acc 0.8422 +top5_acc 0.9807 +2025-05-31 01:52:11,517 - pyskl - INFO - Epoch(val) [23][1184] top1_acc: 0.8422, top5_acc: 0.9807 +2025-05-31 01:53:15,670 - pyskl - INFO - Epoch [24][100/2353] lr: 2.357e-02, eta: 1 day, 11:39:18, time: 0.641, data_time: 0.205, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9800, loss_cls: 3.0355, loss: 3.0355 +2025-05-31 01:53:59,038 - pyskl - INFO - Epoch [24][200/2353] lr: 2.357e-02, eta: 1 day, 11:38:37, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9831, loss_cls: 3.0282, loss: 3.0282 +2025-05-31 01:54:42,117 - pyskl - INFO - Epoch [24][300/2353] lr: 2.356e-02, eta: 1 day, 11:37:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9756, loss_cls: 2.9907, loss: 2.9907 +2025-05-31 01:55:25,057 - pyskl - INFO - Epoch [24][400/2353] lr: 2.356e-02, eta: 1 day, 11:37:12, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9825, loss_cls: 2.9448, loss: 2.9448 +2025-05-31 01:56:08,035 - pyskl - INFO - Epoch [24][500/2353] lr: 2.355e-02, eta: 1 day, 11:36:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9775, loss_cls: 2.9855, loss: 2.9855 +2025-05-31 01:56:51,303 - pyskl - INFO - Epoch [24][600/2353] lr: 2.355e-02, eta: 1 day, 11:35:47, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9769, loss_cls: 3.0844, loss: 3.0844 +2025-05-31 01:57:34,257 - pyskl - INFO - Epoch [24][700/2353] lr: 2.354e-02, eta: 1 day, 11:35:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9788, loss_cls: 3.0116, loss: 3.0116 +2025-05-31 01:58:17,044 - pyskl - INFO - Epoch [24][800/2353] lr: 2.354e-02, eta: 1 day, 11:34:20, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9775, loss_cls: 2.9922, loss: 2.9922 +2025-05-31 01:58:59,966 - pyskl - INFO - Epoch [24][900/2353] lr: 2.353e-02, eta: 1 day, 11:33:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9756, loss_cls: 3.1166, loss: 3.1166 +2025-05-31 01:59:42,818 - pyskl - INFO - Epoch [24][1000/2353] lr: 2.353e-02, eta: 1 day, 11:32:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9694, loss_cls: 3.1540, loss: 3.1540 +2025-05-31 02:00:25,782 - pyskl - INFO - Epoch [24][1100/2353] lr: 2.352e-02, eta: 1 day, 11:32:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9738, loss_cls: 3.0903, loss: 3.0903 +2025-05-31 02:01:08,651 - pyskl - INFO - Epoch [24][1200/2353] lr: 2.352e-02, eta: 1 day, 11:31:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9775, loss_cls: 3.1645, loss: 3.1645 +2025-05-31 02:01:51,574 - pyskl - INFO - Epoch [24][1300/2353] lr: 2.351e-02, eta: 1 day, 11:30:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9719, loss_cls: 3.0546, loss: 3.0546 +2025-05-31 02:02:34,614 - pyskl - INFO - Epoch [24][1400/2353] lr: 2.350e-02, eta: 1 day, 11:30:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9750, loss_cls: 3.0574, loss: 3.0574 +2025-05-31 02:03:17,569 - pyskl - INFO - Epoch [24][1500/2353] lr: 2.350e-02, eta: 1 day, 11:29:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9750, loss_cls: 3.0646, loss: 3.0646 +2025-05-31 02:04:00,526 - pyskl - INFO - Epoch [24][1600/2353] lr: 2.349e-02, eta: 1 day, 11:28:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9781, loss_cls: 3.0485, loss: 3.0485 +2025-05-31 02:04:43,444 - pyskl - INFO - Epoch [24][1700/2353] lr: 2.349e-02, eta: 1 day, 11:27:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9762, loss_cls: 2.9955, loss: 2.9955 +2025-05-31 02:05:26,441 - pyskl - INFO - Epoch [24][1800/2353] lr: 2.348e-02, eta: 1 day, 11:27:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9719, loss_cls: 3.0885, loss: 3.0885 +2025-05-31 02:06:09,366 - pyskl - INFO - Epoch [24][1900/2353] lr: 2.348e-02, eta: 1 day, 11:26:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9731, loss_cls: 3.1928, loss: 3.1928 +2025-05-31 02:06:52,265 - pyskl - INFO - Epoch [24][2000/2353] lr: 2.347e-02, eta: 1 day, 11:25:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 3.0186, loss: 3.0186 +2025-05-31 02:07:35,225 - pyskl - INFO - Epoch [24][2100/2353] lr: 2.347e-02, eta: 1 day, 11:25:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9744, loss_cls: 3.0445, loss: 3.0445 +2025-05-31 02:08:18,318 - pyskl - INFO - Epoch [24][2200/2353] lr: 2.346e-02, eta: 1 day, 11:24:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9800, loss_cls: 3.0102, loss: 3.0102 +2025-05-31 02:09:01,398 - pyskl - INFO - Epoch [24][2300/2353] lr: 2.346e-02, eta: 1 day, 11:23:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9725, loss_cls: 3.0599, loss: 3.0599 +2025-05-31 02:09:24,747 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-05-31 02:10:50,307 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 02:10:50,383 - pyskl - INFO - +top1_acc 0.8757 +top5_acc 0.9875 +2025-05-31 02:10:50,435 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_22.pth was removed +2025-05-31 02:10:51,424 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-05-31 02:10:51,425 - pyskl - INFO - Best top1_acc is 0.8757 at 24 epoch. +2025-05-31 02:10:51,428 - pyskl - INFO - Epoch(val) [24][1184] top1_acc: 0.8757, top5_acc: 0.9875 +2025-05-31 02:11:55,294 - pyskl - INFO - Epoch [25][100/2353] lr: 2.345e-02, eta: 1 day, 11:22:19, time: 0.639, data_time: 0.204, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9838, loss_cls: 2.9755, loss: 2.9755 +2025-05-31 02:12:38,297 - pyskl - INFO - Epoch [25][200/2353] lr: 2.344e-02, eta: 1 day, 11:21:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9794, loss_cls: 3.0359, loss: 3.0359 +2025-05-31 02:13:21,235 - pyskl - INFO - Epoch [25][300/2353] lr: 2.344e-02, eta: 1 day, 11:20:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9775, loss_cls: 3.0030, loss: 3.0030 +2025-05-31 02:14:04,159 - pyskl - INFO - Epoch [25][400/2353] lr: 2.343e-02, eta: 1 day, 11:20:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9756, loss_cls: 2.9946, loss: 2.9946 +2025-05-31 02:14:47,108 - pyskl - INFO - Epoch [25][500/2353] lr: 2.343e-02, eta: 1 day, 11:19:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9794, loss_cls: 3.1015, loss: 3.1015 +2025-05-31 02:15:30,119 - pyskl - INFO - Epoch [25][600/2353] lr: 2.342e-02, eta: 1 day, 11:18:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9744, loss_cls: 3.0227, loss: 3.0227 +2025-05-31 02:16:13,094 - pyskl - INFO - Epoch [25][700/2353] lr: 2.342e-02, eta: 1 day, 11:18:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9844, loss_cls: 2.9423, loss: 2.9423 +2025-05-31 02:16:56,188 - pyskl - INFO - Epoch [25][800/2353] lr: 2.341e-02, eta: 1 day, 11:17:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9688, loss_cls: 3.0345, loss: 3.0345 +2025-05-31 02:17:39,257 - pyskl - INFO - Epoch [25][900/2353] lr: 2.341e-02, eta: 1 day, 11:16:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9731, loss_cls: 3.0847, loss: 3.0847 +2025-05-31 02:18:22,387 - pyskl - INFO - Epoch [25][1000/2353] lr: 2.340e-02, eta: 1 day, 11:15:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9856, loss_cls: 2.9275, loss: 2.9275 +2025-05-31 02:19:05,337 - pyskl - INFO - Epoch [25][1100/2353] lr: 2.339e-02, eta: 1 day, 11:15:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9712, loss_cls: 3.0320, loss: 3.0320 +2025-05-31 02:19:48,347 - pyskl - INFO - Epoch [25][1200/2353] lr: 2.339e-02, eta: 1 day, 11:14:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9794, loss_cls: 3.0360, loss: 3.0360 +2025-05-31 02:20:31,304 - pyskl - INFO - Epoch [25][1300/2353] lr: 2.338e-02, eta: 1 day, 11:13:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9800, loss_cls: 3.0185, loss: 3.0185 +2025-05-31 02:21:14,295 - pyskl - INFO - Epoch [25][1400/2353] lr: 2.338e-02, eta: 1 day, 11:13:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9825, loss_cls: 3.0178, loss: 3.0178 +2025-05-31 02:21:57,328 - pyskl - INFO - Epoch [25][1500/2353] lr: 2.337e-02, eta: 1 day, 11:12:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9762, loss_cls: 3.0590, loss: 3.0590 +2025-05-31 02:22:40,284 - pyskl - INFO - Epoch [25][1600/2353] lr: 2.337e-02, eta: 1 day, 11:11:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9775, loss_cls: 2.9672, loss: 2.9672 +2025-05-31 02:23:23,274 - pyskl - INFO - Epoch [25][1700/2353] lr: 2.336e-02, eta: 1 day, 11:10:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9756, loss_cls: 3.0364, loss: 3.0364 +2025-05-31 02:24:06,239 - pyskl - INFO - Epoch [25][1800/2353] lr: 2.336e-02, eta: 1 day, 11:10:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9731, loss_cls: 2.9344, loss: 2.9344 +2025-05-31 02:24:49,101 - pyskl - INFO - Epoch [25][1900/2353] lr: 2.335e-02, eta: 1 day, 11:09:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9688, loss_cls: 3.0809, loss: 3.0809 +2025-05-31 02:25:32,040 - pyskl - INFO - Epoch [25][2000/2353] lr: 2.334e-02, eta: 1 day, 11:08:45, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9725, loss_cls: 3.0110, loss: 3.0110 +2025-05-31 02:26:14,922 - pyskl - INFO - Epoch [25][2100/2353] lr: 2.334e-02, eta: 1 day, 11:08:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9769, loss_cls: 3.0119, loss: 3.0119 +2025-05-31 02:26:57,857 - pyskl - INFO - Epoch [25][2200/2353] lr: 2.333e-02, eta: 1 day, 11:07:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9756, loss_cls: 3.0534, loss: 3.0534 +2025-05-31 02:27:40,789 - pyskl - INFO - Epoch [25][2300/2353] lr: 2.333e-02, eta: 1 day, 11:06:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9738, loss_cls: 3.0320, loss: 3.0320 +2025-05-31 02:28:04,121 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-05-31 02:37:15,612 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 02:37:15,689 - pyskl - INFO - +top1_acc 0.8519 +top5_acc 0.9847 +2025-05-31 02:37:15,692 - pyskl - INFO - Epoch(val) [25][1184] top1_acc: 0.8519, top5_acc: 0.9847 +2025-05-31 02:38:19,091 - pyskl - INFO - Epoch [26][100/2353] lr: 2.332e-02, eta: 1 day, 11:05:18, time: 0.634, data_time: 0.205, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9825, loss_cls: 2.9144, loss: 2.9144 +2025-05-31 02:39:01,993 - pyskl - INFO - Epoch [26][200/2353] lr: 2.331e-02, eta: 1 day, 11:04:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9781, loss_cls: 2.8764, loss: 2.8764 +2025-05-31 02:39:44,928 - pyskl - INFO - Epoch [26][300/2353] lr: 2.331e-02, eta: 1 day, 11:03:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9725, loss_cls: 3.0310, loss: 3.0310 +2025-05-31 02:40:27,854 - pyskl - INFO - Epoch [26][400/2353] lr: 2.330e-02, eta: 1 day, 11:03:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9831, loss_cls: 3.0540, loss: 3.0540 +2025-05-31 02:41:10,862 - pyskl - INFO - Epoch [26][500/2353] lr: 2.330e-02, eta: 1 day, 11:02:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9794, loss_cls: 2.9842, loss: 2.9842 +2025-05-31 02:41:54,091 - pyskl - INFO - Epoch [26][600/2353] lr: 2.329e-02, eta: 1 day, 11:01:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9800, loss_cls: 2.9403, loss: 2.9403 +2025-05-31 02:42:37,418 - pyskl - INFO - Epoch [26][700/2353] lr: 2.329e-02, eta: 1 day, 11:01:03, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9869, loss_cls: 2.9296, loss: 2.9296 +2025-05-31 02:43:20,637 - pyskl - INFO - Epoch [26][800/2353] lr: 2.328e-02, eta: 1 day, 11:00:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 2.8910, loss: 2.8910 +2025-05-31 02:44:03,681 - pyskl - INFO - Epoch [26][900/2353] lr: 2.327e-02, eta: 1 day, 10:59:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9781, loss_cls: 3.1124, loss: 3.1124 +2025-05-31 02:44:46,643 - pyskl - INFO - Epoch [26][1000/2353] lr: 2.327e-02, eta: 1 day, 10:58:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9788, loss_cls: 3.0714, loss: 3.0714 +2025-05-31 02:45:29,584 - pyskl - INFO - Epoch [26][1100/2353] lr: 2.326e-02, eta: 1 day, 10:58:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9769, loss_cls: 3.0100, loss: 3.0100 +2025-05-31 02:46:12,517 - pyskl - INFO - Epoch [26][1200/2353] lr: 2.326e-02, eta: 1 day, 10:57:29, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 2.9612, loss: 2.9612 +2025-05-31 02:46:55,566 - pyskl - INFO - Epoch [26][1300/2353] lr: 2.325e-02, eta: 1 day, 10:56:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9706, loss_cls: 3.0553, loss: 3.0553 +2025-05-31 02:47:38,525 - pyskl - INFO - Epoch [26][1400/2353] lr: 2.325e-02, eta: 1 day, 10:56:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9712, loss_cls: 3.0838, loss: 3.0838 +2025-05-31 02:48:21,525 - pyskl - INFO - Epoch [26][1500/2353] lr: 2.324e-02, eta: 1 day, 10:55:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9756, loss_cls: 3.0156, loss: 3.0156 +2025-05-31 02:49:04,457 - pyskl - INFO - Epoch [26][1600/2353] lr: 2.324e-02, eta: 1 day, 10:54:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9762, loss_cls: 3.0310, loss: 3.0310 +2025-05-31 02:49:47,545 - pyskl - INFO - Epoch [26][1700/2353] lr: 2.323e-02, eta: 1 day, 10:53:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9700, loss_cls: 3.0137, loss: 3.0137 +2025-05-31 02:50:30,547 - pyskl - INFO - Epoch [26][1800/2353] lr: 2.322e-02, eta: 1 day, 10:53:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9744, loss_cls: 3.0848, loss: 3.0848 +2025-05-31 02:51:13,598 - pyskl - INFO - Epoch [26][1900/2353] lr: 2.322e-02, eta: 1 day, 10:52:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9744, loss_cls: 3.0827, loss: 3.0827 +2025-05-31 02:51:56,658 - pyskl - INFO - Epoch [26][2000/2353] lr: 2.321e-02, eta: 1 day, 10:51:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9762, loss_cls: 3.0824, loss: 3.0824 +2025-05-31 02:52:39,667 - pyskl - INFO - Epoch [26][2100/2353] lr: 2.321e-02, eta: 1 day, 10:51:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9788, loss_cls: 3.0969, loss: 3.0969 +2025-05-31 02:53:22,721 - pyskl - INFO - Epoch [26][2200/2353] lr: 2.320e-02, eta: 1 day, 10:50:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9762, loss_cls: 3.1584, loss: 3.1584 +2025-05-31 02:54:05,750 - pyskl - INFO - Epoch [26][2300/2353] lr: 2.320e-02, eta: 1 day, 10:49:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9750, loss_cls: 3.1829, loss: 3.1829 +2025-05-31 02:54:28,997 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-05-31 02:55:54,348 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 02:55:54,423 - pyskl - INFO - +top1_acc 0.8517 +top5_acc 0.9879 +2025-05-31 02:55:54,426 - pyskl - INFO - Epoch(val) [26][1184] top1_acc: 0.8517, top5_acc: 0.9879 +2025-05-31 02:56:57,566 - pyskl - INFO - Epoch [27][100/2353] lr: 2.319e-02, eta: 1 day, 10:48:22, time: 0.631, data_time: 0.203, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9769, loss_cls: 2.9257, loss: 2.9257 +2025-05-31 02:57:40,457 - pyskl - INFO - Epoch [27][200/2353] lr: 2.318e-02, eta: 1 day, 10:47:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9819, loss_cls: 2.9519, loss: 2.9519 +2025-05-31 02:58:23,469 - pyskl - INFO - Epoch [27][300/2353] lr: 2.317e-02, eta: 1 day, 10:46:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9819, loss_cls: 2.9541, loss: 2.9541 +2025-05-31 02:59:06,692 - pyskl - INFO - Epoch [27][400/2353] lr: 2.317e-02, eta: 1 day, 10:46:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9788, loss_cls: 2.9245, loss: 2.9245 +2025-05-31 02:59:49,658 - pyskl - INFO - Epoch [27][500/2353] lr: 2.316e-02, eta: 1 day, 10:45:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9781, loss_cls: 2.9980, loss: 2.9980 +2025-05-31 03:00:32,797 - pyskl - INFO - Epoch [27][600/2353] lr: 2.316e-02, eta: 1 day, 10:44:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9769, loss_cls: 2.8784, loss: 2.8784 +2025-05-31 03:01:15,853 - pyskl - INFO - Epoch [27][700/2353] lr: 2.315e-02, eta: 1 day, 10:44:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9775, loss_cls: 2.9543, loss: 2.9543 +2025-05-31 03:01:58,839 - pyskl - INFO - Epoch [27][800/2353] lr: 2.315e-02, eta: 1 day, 10:43:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9775, loss_cls: 2.9715, loss: 2.9715 +2025-05-31 03:02:41,933 - pyskl - INFO - Epoch [27][900/2353] lr: 2.314e-02, eta: 1 day, 10:42:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9812, loss_cls: 2.9758, loss: 2.9758 +2025-05-31 03:03:24,842 - pyskl - INFO - Epoch [27][1000/2353] lr: 2.313e-02, eta: 1 day, 10:41:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9712, loss_cls: 2.9171, loss: 2.9171 +2025-05-31 03:04:07,836 - pyskl - INFO - Epoch [27][1100/2353] lr: 2.313e-02, eta: 1 day, 10:41:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9838, loss_cls: 3.0050, loss: 3.0050 +2025-05-31 03:04:50,891 - pyskl - INFO - Epoch [27][1200/2353] lr: 2.312e-02, eta: 1 day, 10:40:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9788, loss_cls: 3.0196, loss: 3.0196 +2025-05-31 03:05:33,916 - pyskl - INFO - Epoch [27][1300/2353] lr: 2.312e-02, eta: 1 day, 10:39:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9781, loss_cls: 3.0323, loss: 3.0323 +2025-05-31 03:06:16,601 - pyskl - INFO - Epoch [27][1400/2353] lr: 2.311e-02, eta: 1 day, 10:39:06, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9750, loss_cls: 3.0567, loss: 3.0567 +2025-05-31 03:06:59,455 - pyskl - INFO - Epoch [27][1500/2353] lr: 2.310e-02, eta: 1 day, 10:38:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9769, loss_cls: 3.0066, loss: 3.0066 +2025-05-31 03:07:42,383 - pyskl - INFO - Epoch [27][1600/2353] lr: 2.310e-02, eta: 1 day, 10:37:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9781, loss_cls: 2.9389, loss: 2.9389 +2025-05-31 03:08:25,350 - pyskl - INFO - Epoch [27][1700/2353] lr: 2.309e-02, eta: 1 day, 10:36:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9788, loss_cls: 3.0412, loss: 3.0412 +2025-05-31 03:09:08,270 - pyskl - INFO - Epoch [27][1800/2353] lr: 2.309e-02, eta: 1 day, 10:36:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9719, loss_cls: 3.0295, loss: 3.0295 +2025-05-31 03:09:50,986 - pyskl - INFO - Epoch [27][1900/2353] lr: 2.308e-02, eta: 1 day, 10:35:29, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9800, loss_cls: 2.9914, loss: 2.9914 +2025-05-31 03:10:34,037 - pyskl - INFO - Epoch [27][2000/2353] lr: 2.308e-02, eta: 1 day, 10:34:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9812, loss_cls: 2.9832, loss: 2.9832 +2025-05-31 03:11:17,002 - pyskl - INFO - Epoch [27][2100/2353] lr: 2.307e-02, eta: 1 day, 10:34:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9744, loss_cls: 3.0797, loss: 3.0797 +2025-05-31 03:12:00,024 - pyskl - INFO - Epoch [27][2200/2353] lr: 2.306e-02, eta: 1 day, 10:33:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9694, loss_cls: 3.0937, loss: 3.0937 +2025-05-31 03:12:43,054 - pyskl - INFO - Epoch [27][2300/2353] lr: 2.306e-02, eta: 1 day, 10:32:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9812, loss_cls: 2.9376, loss: 2.9376 +2025-05-31 03:13:06,439 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-05-31 03:14:31,687 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 03:14:31,762 - pyskl - INFO - +top1_acc 0.8531 +top5_acc 0.9851 +2025-05-31 03:14:31,765 - pyskl - INFO - Epoch(val) [27][1184] top1_acc: 0.8531, top5_acc: 0.9851 +2025-05-31 03:15:35,333 - pyskl - INFO - Epoch [28][100/2353] lr: 2.305e-02, eta: 1 day, 10:31:23, time: 0.636, data_time: 0.207, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9869, loss_cls: 2.9093, loss: 2.9093 +2025-05-31 03:16:18,254 - pyskl - INFO - Epoch [28][200/2353] lr: 2.304e-02, eta: 1 day, 10:30:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9862, loss_cls: 2.8563, loss: 2.8563 +2025-05-31 03:17:01,220 - pyskl - INFO - Epoch [28][300/2353] lr: 2.304e-02, eta: 1 day, 10:29:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9769, loss_cls: 2.9074, loss: 2.9074 +2025-05-31 03:17:44,229 - pyskl - INFO - Epoch [28][400/2353] lr: 2.303e-02, eta: 1 day, 10:29:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9788, loss_cls: 3.0081, loss: 3.0081 +2025-05-31 03:18:27,169 - pyskl - INFO - Epoch [28][500/2353] lr: 2.302e-02, eta: 1 day, 10:28:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9806, loss_cls: 2.9566, loss: 2.9566 +2025-05-31 03:19:10,269 - pyskl - INFO - Epoch [28][600/2353] lr: 2.302e-02, eta: 1 day, 10:27:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9819, loss_cls: 2.9052, loss: 2.9052 +2025-05-31 03:19:53,321 - pyskl - INFO - Epoch [28][700/2353] lr: 2.301e-02, eta: 1 day, 10:27:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9731, loss_cls: 3.0270, loss: 3.0270 +2025-05-31 03:20:36,562 - pyskl - INFO - Epoch [28][800/2353] lr: 2.301e-02, eta: 1 day, 10:26:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9744, loss_cls: 3.0596, loss: 3.0596 +2025-05-31 03:21:19,801 - pyskl - INFO - Epoch [28][900/2353] lr: 2.300e-02, eta: 1 day, 10:25:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9812, loss_cls: 3.0351, loss: 3.0351 +2025-05-31 03:22:02,956 - pyskl - INFO - Epoch [28][1000/2353] lr: 2.299e-02, eta: 1 day, 10:25:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9794, loss_cls: 2.9937, loss: 2.9937 +2025-05-31 03:22:46,013 - pyskl - INFO - Epoch [28][1100/2353] lr: 2.299e-02, eta: 1 day, 10:24:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9669, loss_cls: 2.9036, loss: 2.9036 +2025-05-31 03:23:29,321 - pyskl - INFO - Epoch [28][1200/2353] lr: 2.298e-02, eta: 1 day, 10:23:37, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9781, loss_cls: 2.9750, loss: 2.9750 +2025-05-31 03:24:12,491 - pyskl - INFO - Epoch [28][1300/2353] lr: 2.298e-02, eta: 1 day, 10:22:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9888, loss_cls: 2.8775, loss: 2.8775 +2025-05-31 03:24:55,675 - pyskl - INFO - Epoch [28][1400/2353] lr: 2.297e-02, eta: 1 day, 10:22:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9775, loss_cls: 3.0024, loss: 3.0024 +2025-05-31 03:25:38,681 - pyskl - INFO - Epoch [28][1500/2353] lr: 2.296e-02, eta: 1 day, 10:21:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9800, loss_cls: 3.0381, loss: 3.0381 +2025-05-31 03:26:21,661 - pyskl - INFO - Epoch [28][1600/2353] lr: 2.296e-02, eta: 1 day, 10:20:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9812, loss_cls: 3.0207, loss: 3.0207 +2025-05-31 03:27:04,715 - pyskl - INFO - Epoch [28][1700/2353] lr: 2.295e-02, eta: 1 day, 10:20:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9731, loss_cls: 3.0391, loss: 3.0391 +2025-05-31 03:27:47,806 - pyskl - INFO - Epoch [28][1800/2353] lr: 2.295e-02, eta: 1 day, 10:19:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9731, loss_cls: 3.0180, loss: 3.0180 +2025-05-31 03:28:30,849 - pyskl - INFO - Epoch [28][1900/2353] lr: 2.294e-02, eta: 1 day, 10:18:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9694, loss_cls: 3.0167, loss: 3.0167 +2025-05-31 03:29:13,784 - pyskl - INFO - Epoch [28][2000/2353] lr: 2.293e-02, eta: 1 day, 10:17:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9762, loss_cls: 2.9719, loss: 2.9719 +2025-05-31 03:29:56,882 - pyskl - INFO - Epoch [28][2100/2353] lr: 2.293e-02, eta: 1 day, 10:17:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9756, loss_cls: 2.9624, loss: 2.9624 +2025-05-31 03:30:39,960 - pyskl - INFO - Epoch [28][2200/2353] lr: 2.292e-02, eta: 1 day, 10:16:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9694, loss_cls: 3.0762, loss: 3.0762 +2025-05-31 03:31:23,142 - pyskl - INFO - Epoch [28][2300/2353] lr: 2.291e-02, eta: 1 day, 10:15:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9775, loss_cls: 2.9600, loss: 2.9600 +2025-05-31 03:31:46,545 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-05-31 03:33:12,178 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 03:33:12,252 - pyskl - INFO - +top1_acc 0.8609 +top5_acc 0.9882 +2025-05-31 03:33:12,255 - pyskl - INFO - Epoch(val) [28][1184] top1_acc: 0.8609, top5_acc: 0.9882 +2025-05-31 03:34:15,710 - pyskl - INFO - Epoch [29][100/2353] lr: 2.291e-02, eta: 1 day, 10:14:34, time: 0.635, data_time: 0.204, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9850, loss_cls: 2.7970, loss: 2.7970 +2025-05-31 03:34:58,689 - pyskl - INFO - Epoch [29][200/2353] lr: 2.290e-02, eta: 1 day, 10:13:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9825, loss_cls: 2.8971, loss: 2.8971 +2025-05-31 03:35:41,696 - pyskl - INFO - Epoch [29][300/2353] lr: 2.289e-02, eta: 1 day, 10:13:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9788, loss_cls: 2.8760, loss: 2.8760 +2025-05-31 03:36:24,716 - pyskl - INFO - Epoch [29][400/2353] lr: 2.289e-02, eta: 1 day, 10:12:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9806, loss_cls: 2.9099, loss: 2.9099 +2025-05-31 03:37:07,801 - pyskl - INFO - Epoch [29][500/2353] lr: 2.288e-02, eta: 1 day, 10:11:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9775, loss_cls: 2.8693, loss: 2.8693 +2025-05-31 03:37:50,869 - pyskl - INFO - Epoch [29][600/2353] lr: 2.287e-02, eta: 1 day, 10:11:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9762, loss_cls: 3.0165, loss: 3.0165 +2025-05-31 03:38:33,945 - pyskl - INFO - Epoch [29][700/2353] lr: 2.287e-02, eta: 1 day, 10:10:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9781, loss_cls: 2.8727, loss: 2.8727 +2025-05-31 03:39:17,089 - pyskl - INFO - Epoch [29][800/2353] lr: 2.286e-02, eta: 1 day, 10:09:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9756, loss_cls: 3.0405, loss: 3.0405 +2025-05-31 03:40:00,140 - pyskl - INFO - Epoch [29][900/2353] lr: 2.286e-02, eta: 1 day, 10:08:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9825, loss_cls: 2.9465, loss: 2.9465 +2025-05-31 03:40:43,212 - pyskl - INFO - Epoch [29][1000/2353] lr: 2.285e-02, eta: 1 day, 10:08:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9769, loss_cls: 3.0237, loss: 3.0237 +2025-05-31 03:41:26,265 - pyskl - INFO - Epoch [29][1100/2353] lr: 2.284e-02, eta: 1 day, 10:07:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9781, loss_cls: 2.9690, loss: 2.9690 +2025-05-31 03:42:09,425 - pyskl - INFO - Epoch [29][1200/2353] lr: 2.284e-02, eta: 1 day, 10:06:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9831, loss_cls: 2.8867, loss: 2.8867 +2025-05-31 03:42:52,385 - pyskl - INFO - Epoch [29][1300/2353] lr: 2.283e-02, eta: 1 day, 10:06:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9788, loss_cls: 2.9273, loss: 2.9273 +2025-05-31 03:43:35,462 - pyskl - INFO - Epoch [29][1400/2353] lr: 2.282e-02, eta: 1 day, 10:05:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9775, loss_cls: 3.1543, loss: 3.1543 +2025-05-31 03:44:18,484 - pyskl - INFO - Epoch [29][1500/2353] lr: 2.282e-02, eta: 1 day, 10:04:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9769, loss_cls: 2.8827, loss: 2.8827 +2025-05-31 03:45:01,482 - pyskl - INFO - Epoch [29][1600/2353] lr: 2.281e-02, eta: 1 day, 10:03:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9806, loss_cls: 2.9252, loss: 2.9252 +2025-05-31 03:45:44,552 - pyskl - INFO - Epoch [29][1700/2353] lr: 2.281e-02, eta: 1 day, 10:03:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9831, loss_cls: 2.8363, loss: 2.8363 +2025-05-31 03:46:27,629 - pyskl - INFO - Epoch [29][1800/2353] lr: 2.280e-02, eta: 1 day, 10:02:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9806, loss_cls: 2.9204, loss: 2.9204 +2025-05-31 03:47:10,656 - pyskl - INFO - Epoch [29][1900/2353] lr: 2.279e-02, eta: 1 day, 10:01:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9769, loss_cls: 3.0715, loss: 3.0715 +2025-05-31 03:47:53,734 - pyskl - INFO - Epoch [29][2000/2353] lr: 2.279e-02, eta: 1 day, 10:01:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9775, loss_cls: 3.0085, loss: 3.0085 +2025-05-31 03:48:36,764 - pyskl - INFO - Epoch [29][2100/2353] lr: 2.278e-02, eta: 1 day, 10:00:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9762, loss_cls: 2.9516, loss: 2.9516 +2025-05-31 03:49:19,865 - pyskl - INFO - Epoch [29][2200/2353] lr: 2.277e-02, eta: 1 day, 9:59:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9694, loss_cls: 2.9662, loss: 2.9662 +2025-05-31 03:50:02,961 - pyskl - INFO - Epoch [29][2300/2353] lr: 2.277e-02, eta: 1 day, 9:58:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9806, loss_cls: 2.9717, loss: 2.9717 +2025-05-31 03:50:26,319 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-05-31 03:51:51,654 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 03:51:51,729 - pyskl - INFO - +top1_acc 0.8648 +top5_acc 0.9849 +2025-05-31 03:51:51,732 - pyskl - INFO - Epoch(val) [29][1184] top1_acc: 0.8648, top5_acc: 0.9849 +2025-05-31 03:52:55,197 - pyskl - INFO - Epoch [30][100/2353] lr: 2.276e-02, eta: 1 day, 9:57:43, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9831, loss_cls: 2.7742, loss: 2.7742 +2025-05-31 03:53:38,220 - pyskl - INFO - Epoch [30][200/2353] lr: 2.275e-02, eta: 1 day, 9:57:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9812, loss_cls: 2.8860, loss: 2.8860 +2025-05-31 03:54:21,210 - pyskl - INFO - Epoch [30][300/2353] lr: 2.275e-02, eta: 1 day, 9:56:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9712, loss_cls: 3.0543, loss: 3.0543 +2025-05-31 03:55:04,265 - pyskl - INFO - Epoch [30][400/2353] lr: 2.274e-02, eta: 1 day, 9:55:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9756, loss_cls: 2.9388, loss: 2.9388 +2025-05-31 03:55:47,296 - pyskl - INFO - Epoch [30][500/2353] lr: 2.273e-02, eta: 1 day, 9:54:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9806, loss_cls: 2.8934, loss: 2.8934 +2025-05-31 03:56:30,385 - pyskl - INFO - Epoch [30][600/2353] lr: 2.273e-02, eta: 1 day, 9:54:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9794, loss_cls: 2.9479, loss: 2.9479 +2025-05-31 03:57:13,453 - pyskl - INFO - Epoch [30][700/2353] lr: 2.272e-02, eta: 1 day, 9:53:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9800, loss_cls: 2.9398, loss: 2.9398 +2025-05-31 03:57:56,485 - pyskl - INFO - Epoch [30][800/2353] lr: 2.271e-02, eta: 1 day, 9:52:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9819, loss_cls: 2.9834, loss: 2.9834 +2025-05-31 03:58:39,519 - pyskl - INFO - Epoch [30][900/2353] lr: 2.271e-02, eta: 1 day, 9:52:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9781, loss_cls: 3.1306, loss: 3.1306 +2025-05-31 03:59:22,537 - pyskl - INFO - Epoch [30][1000/2353] lr: 2.270e-02, eta: 1 day, 9:51:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9775, loss_cls: 2.9183, loss: 2.9183 +2025-05-31 04:00:05,507 - pyskl - INFO - Epoch [30][1100/2353] lr: 2.269e-02, eta: 1 day, 9:50:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9781, loss_cls: 3.0467, loss: 3.0467 +2025-05-31 04:00:48,532 - pyskl - INFO - Epoch [30][1200/2353] lr: 2.269e-02, eta: 1 day, 9:49:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9812, loss_cls: 3.0187, loss: 3.0187 +2025-05-31 04:01:31,564 - pyskl - INFO - Epoch [30][1300/2353] lr: 2.268e-02, eta: 1 day, 9:49:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9762, loss_cls: 2.8717, loss: 2.8717 +2025-05-31 04:02:14,603 - pyskl - INFO - Epoch [30][1400/2353] lr: 2.267e-02, eta: 1 day, 9:48:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 2.9166, loss: 2.9166 +2025-05-31 04:02:57,576 - pyskl - INFO - Epoch [30][1500/2353] lr: 2.267e-02, eta: 1 day, 9:47:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9762, loss_cls: 2.9225, loss: 2.9225 +2025-05-31 04:03:40,496 - pyskl - INFO - Epoch [30][1600/2353] lr: 2.266e-02, eta: 1 day, 9:47:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9731, loss_cls: 2.9025, loss: 2.9025 +2025-05-31 04:04:23,548 - pyskl - INFO - Epoch [30][1700/2353] lr: 2.266e-02, eta: 1 day, 9:46:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9731, loss_cls: 2.9608, loss: 2.9608 +2025-05-31 04:05:06,541 - pyskl - INFO - Epoch [30][1800/2353] lr: 2.265e-02, eta: 1 day, 9:45:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9812, loss_cls: 2.9456, loss: 2.9456 +2025-05-31 04:05:49,631 - pyskl - INFO - Epoch [30][1900/2353] lr: 2.264e-02, eta: 1 day, 9:44:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9825, loss_cls: 3.0448, loss: 3.0448 +2025-05-31 04:06:32,681 - pyskl - INFO - Epoch [30][2000/2353] lr: 2.264e-02, eta: 1 day, 9:44:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9756, loss_cls: 3.0608, loss: 3.0608 +2025-05-31 04:07:15,745 - pyskl - INFO - Epoch [30][2100/2353] lr: 2.263e-02, eta: 1 day, 9:43:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9856, loss_cls: 2.7944, loss: 2.7944 +2025-05-31 04:07:59,129 - pyskl - INFO - Epoch [30][2200/2353] lr: 2.262e-02, eta: 1 day, 9:42:48, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9744, loss_cls: 3.0925, loss: 3.0925 +2025-05-31 04:08:42,213 - pyskl - INFO - Epoch [30][2300/2353] lr: 2.262e-02, eta: 1 day, 9:42:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9788, loss_cls: 2.9312, loss: 2.9312 +2025-05-31 04:09:05,590 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-05-31 04:18:00,261 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 04:18:00,336 - pyskl - INFO - +top1_acc 0.8351 +top5_acc 0.9813 +2025-05-31 04:18:00,339 - pyskl - INFO - Epoch(val) [30][1184] top1_acc: 0.8351, top5_acc: 0.9813 +2025-05-31 04:19:03,898 - pyskl - INFO - Epoch [31][100/2353] lr: 2.261e-02, eta: 1 day, 9:40:51, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9781, loss_cls: 2.9896, loss: 2.9896 +2025-05-31 04:19:46,934 - pyskl - INFO - Epoch [31][200/2353] lr: 2.260e-02, eta: 1 day, 9:40:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9781, loss_cls: 2.9020, loss: 2.9020 +2025-05-31 04:20:29,954 - pyskl - INFO - Epoch [31][300/2353] lr: 2.259e-02, eta: 1 day, 9:39:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9806, loss_cls: 2.8419, loss: 2.8419 +2025-05-31 04:21:12,947 - pyskl - INFO - Epoch [31][400/2353] lr: 2.259e-02, eta: 1 day, 9:38:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9750, loss_cls: 3.0149, loss: 3.0149 +2025-05-31 04:21:55,899 - pyskl - INFO - Epoch [31][500/2353] lr: 2.258e-02, eta: 1 day, 9:38:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9781, loss_cls: 2.9062, loss: 2.9062 +2025-05-31 04:22:38,908 - pyskl - INFO - Epoch [31][600/2353] lr: 2.257e-02, eta: 1 day, 9:37:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9806, loss_cls: 2.9284, loss: 2.9284 +2025-05-31 04:23:22,009 - pyskl - INFO - Epoch [31][700/2353] lr: 2.257e-02, eta: 1 day, 9:36:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9838, loss_cls: 2.8775, loss: 2.8775 +2025-05-31 04:24:05,268 - pyskl - INFO - Epoch [31][800/2353] lr: 2.256e-02, eta: 1 day, 9:35:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9812, loss_cls: 2.9185, loss: 2.9185 +2025-05-31 04:24:48,623 - pyskl - INFO - Epoch [31][900/2353] lr: 2.255e-02, eta: 1 day, 9:35:12, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9756, loss_cls: 3.0196, loss: 3.0196 +2025-05-31 04:25:31,683 - pyskl - INFO - Epoch [31][1000/2353] lr: 2.255e-02, eta: 1 day, 9:34:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9819, loss_cls: 3.0477, loss: 3.0477 +2025-05-31 04:26:14,701 - pyskl - INFO - Epoch [31][1100/2353] lr: 2.254e-02, eta: 1 day, 9:33:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 2.8340, loss: 2.8340 +2025-05-31 04:26:57,697 - pyskl - INFO - Epoch [31][1200/2353] lr: 2.253e-02, eta: 1 day, 9:33:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9800, loss_cls: 3.0264, loss: 3.0264 +2025-05-31 04:27:40,667 - pyskl - INFO - Epoch [31][1300/2353] lr: 2.253e-02, eta: 1 day, 9:32:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9812, loss_cls: 2.9164, loss: 2.9164 +2025-05-31 04:28:23,690 - pyskl - INFO - Epoch [31][1400/2353] lr: 2.252e-02, eta: 1 day, 9:31:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9762, loss_cls: 2.8726, loss: 2.8726 +2025-05-31 04:29:06,702 - pyskl - INFO - Epoch [31][1500/2353] lr: 2.251e-02, eta: 1 day, 9:30:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9781, loss_cls: 2.9245, loss: 2.9245 +2025-05-31 04:29:49,697 - pyskl - INFO - Epoch [31][1600/2353] lr: 2.251e-02, eta: 1 day, 9:30:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9731, loss_cls: 3.0043, loss: 3.0043 +2025-05-31 04:30:32,920 - pyskl - INFO - Epoch [31][1700/2353] lr: 2.250e-02, eta: 1 day, 9:29:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9775, loss_cls: 2.9664, loss: 2.9664 +2025-05-31 04:31:16,304 - pyskl - INFO - Epoch [31][1800/2353] lr: 2.249e-02, eta: 1 day, 9:28:49, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9794, loss_cls: 2.8707, loss: 2.8707 +2025-05-31 04:31:59,663 - pyskl - INFO - Epoch [31][1900/2353] lr: 2.249e-02, eta: 1 day, 9:28:08, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9794, loss_cls: 3.0975, loss: 3.0975 +2025-05-31 04:32:42,639 - pyskl - INFO - Epoch [31][2000/2353] lr: 2.248e-02, eta: 1 day, 9:27:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9731, loss_cls: 2.9518, loss: 2.9518 +2025-05-31 04:33:25,636 - pyskl - INFO - Epoch [31][2100/2353] lr: 2.247e-02, eta: 1 day, 9:26:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9769, loss_cls: 2.9308, loss: 2.9308 +2025-05-31 04:34:08,788 - pyskl - INFO - Epoch [31][2200/2353] lr: 2.247e-02, eta: 1 day, 9:26:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9744, loss_cls: 2.8729, loss: 2.8729 +2025-05-31 04:34:51,918 - pyskl - INFO - Epoch [31][2300/2353] lr: 2.246e-02, eta: 1 day, 9:25:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9781, loss_cls: 2.9138, loss: 2.9138 +2025-05-31 04:35:15,369 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-05-31 04:36:40,723 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 04:36:40,797 - pyskl - INFO - +top1_acc 0.8606 +top5_acc 0.9875 +2025-05-31 04:36:40,800 - pyskl - INFO - Epoch(val) [31][1184] top1_acc: 0.8606, top5_acc: 0.9875 +2025-05-31 04:37:44,077 - pyskl - INFO - Epoch [32][100/2353] lr: 2.245e-02, eta: 1 day, 9:24:02, time: 0.633, data_time: 0.202, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9838, loss_cls: 2.8837, loss: 2.8837 +2025-05-31 04:38:27,129 - pyskl - INFO - Epoch [32][200/2353] lr: 2.244e-02, eta: 1 day, 9:23:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9769, loss_cls: 2.8999, loss: 2.8999 +2025-05-31 04:39:10,106 - pyskl - INFO - Epoch [32][300/2353] lr: 2.244e-02, eta: 1 day, 9:22:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9831, loss_cls: 2.8030, loss: 2.8030 +2025-05-31 04:39:53,154 - pyskl - INFO - Epoch [32][400/2353] lr: 2.243e-02, eta: 1 day, 9:21:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9838, loss_cls: 2.8179, loss: 2.8179 +2025-05-31 04:40:36,288 - pyskl - INFO - Epoch [32][500/2353] lr: 2.242e-02, eta: 1 day, 9:21:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9812, loss_cls: 2.8964, loss: 2.8964 +2025-05-31 04:41:19,333 - pyskl - INFO - Epoch [32][600/2353] lr: 2.242e-02, eta: 1 day, 9:20:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9831, loss_cls: 2.7485, loss: 2.7485 +2025-05-31 04:42:02,431 - pyskl - INFO - Epoch [32][700/2353] lr: 2.241e-02, eta: 1 day, 9:19:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9812, loss_cls: 2.9694, loss: 2.9694 +2025-05-31 04:42:45,673 - pyskl - INFO - Epoch [32][800/2353] lr: 2.240e-02, eta: 1 day, 9:19:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9738, loss_cls: 2.9800, loss: 2.9800 +2025-05-31 04:43:28,629 - pyskl - INFO - Epoch [32][900/2353] lr: 2.240e-02, eta: 1 day, 9:18:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9825, loss_cls: 2.8683, loss: 2.8683 +2025-05-31 04:44:12,065 - pyskl - INFO - Epoch [32][1000/2353] lr: 2.239e-02, eta: 1 day, 9:17:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9800, loss_cls: 2.8946, loss: 2.8946 +2025-05-31 04:44:55,151 - pyskl - INFO - Epoch [32][1100/2353] lr: 2.238e-02, eta: 1 day, 9:16:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9788, loss_cls: 2.8204, loss: 2.8204 +2025-05-31 04:45:38,196 - pyskl - INFO - Epoch [32][1200/2353] lr: 2.238e-02, eta: 1 day, 9:16:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9788, loss_cls: 2.9176, loss: 2.9176 +2025-05-31 04:46:21,296 - pyskl - INFO - Epoch [32][1300/2353] lr: 2.237e-02, eta: 1 day, 9:15:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9756, loss_cls: 2.9822, loss: 2.9822 +2025-05-31 04:47:04,512 - pyskl - INFO - Epoch [32][1400/2353] lr: 2.236e-02, eta: 1 day, 9:14:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9706, loss_cls: 3.0270, loss: 3.0270 +2025-05-31 04:47:47,600 - pyskl - INFO - Epoch [32][1500/2353] lr: 2.235e-02, eta: 1 day, 9:14:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9725, loss_cls: 2.9716, loss: 2.9716 +2025-05-31 04:48:30,671 - pyskl - INFO - Epoch [32][1600/2353] lr: 2.235e-02, eta: 1 day, 9:13:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9788, loss_cls: 2.9666, loss: 2.9666 +2025-05-31 04:49:13,677 - pyskl - INFO - Epoch [32][1700/2353] lr: 2.234e-02, eta: 1 day, 9:12:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9762, loss_cls: 2.8912, loss: 2.8912 +2025-05-31 04:49:56,705 - pyskl - INFO - Epoch [32][1800/2353] lr: 2.233e-02, eta: 1 day, 9:12:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9875, loss_cls: 2.8779, loss: 2.8779 +2025-05-31 04:50:39,793 - pyskl - INFO - Epoch [32][1900/2353] lr: 2.233e-02, eta: 1 day, 9:11:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9725, loss_cls: 2.8777, loss: 2.8777 +2025-05-31 04:51:22,936 - pyskl - INFO - Epoch [32][2000/2353] lr: 2.232e-02, eta: 1 day, 9:10:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9738, loss_cls: 3.0008, loss: 3.0008 +2025-05-31 04:52:06,093 - pyskl - INFO - Epoch [32][2100/2353] lr: 2.231e-02, eta: 1 day, 9:09:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9738, loss_cls: 2.9445, loss: 2.9445 +2025-05-31 04:52:49,140 - pyskl - INFO - Epoch [32][2200/2353] lr: 2.231e-02, eta: 1 day, 9:09:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9781, loss_cls: 2.9558, loss: 2.9558 +2025-05-31 04:53:32,260 - pyskl - INFO - Epoch [32][2300/2353] lr: 2.230e-02, eta: 1 day, 9:08:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9806, loss_cls: 2.8819, loss: 2.8819 +2025-05-31 04:53:55,705 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-05-31 04:55:21,127 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 04:55:21,202 - pyskl - INFO - +top1_acc 0.8753 +top5_acc 0.9870 +2025-05-31 04:55:21,205 - pyskl - INFO - Epoch(val) [32][1184] top1_acc: 0.8753, top5_acc: 0.9870 +2025-05-31 04:56:25,247 - pyskl - INFO - Epoch [33][100/2353] lr: 2.229e-02, eta: 1 day, 9:07:16, time: 0.640, data_time: 0.204, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 2.7825, loss: 2.7825 +2025-05-31 04:57:08,382 - pyskl - INFO - Epoch [33][200/2353] lr: 2.228e-02, eta: 1 day, 9:06:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9800, loss_cls: 2.9225, loss: 2.9225 +2025-05-31 04:57:51,466 - pyskl - INFO - Epoch [33][300/2353] lr: 2.228e-02, eta: 1 day, 9:05:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9831, loss_cls: 2.9045, loss: 2.9045 +2025-05-31 04:58:34,530 - pyskl - INFO - Epoch [33][400/2353] lr: 2.227e-02, eta: 1 day, 9:05:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9831, loss_cls: 2.9090, loss: 2.9090 +2025-05-31 04:59:17,661 - pyskl - INFO - Epoch [33][500/2353] lr: 2.226e-02, eta: 1 day, 9:04:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9819, loss_cls: 2.8873, loss: 2.8873 +2025-05-31 05:00:00,766 - pyskl - INFO - Epoch [33][600/2353] lr: 2.225e-02, eta: 1 day, 9:03:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9819, loss_cls: 2.8536, loss: 2.8536 +2025-05-31 05:00:43,965 - pyskl - INFO - Epoch [33][700/2353] lr: 2.225e-02, eta: 1 day, 9:03:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9744, loss_cls: 2.9177, loss: 2.9177 +2025-05-31 05:01:26,983 - pyskl - INFO - Epoch [33][800/2353] lr: 2.224e-02, eta: 1 day, 9:02:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9781, loss_cls: 2.9260, loss: 2.9260 +2025-05-31 05:02:10,053 - pyskl - INFO - Epoch [33][900/2353] lr: 2.223e-02, eta: 1 day, 9:01:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9788, loss_cls: 2.9435, loss: 2.9435 +2025-05-31 05:02:53,287 - pyskl - INFO - Epoch [33][1000/2353] lr: 2.223e-02, eta: 1 day, 9:00:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 2.7787, loss: 2.7787 +2025-05-31 05:03:36,405 - pyskl - INFO - Epoch [33][1100/2353] lr: 2.222e-02, eta: 1 day, 9:00:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9794, loss_cls: 3.0162, loss: 3.0162 +2025-05-31 05:04:19,442 - pyskl - INFO - Epoch [33][1200/2353] lr: 2.221e-02, eta: 1 day, 8:59:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9831, loss_cls: 2.9488, loss: 2.9488 +2025-05-31 05:05:02,481 - pyskl - INFO - Epoch [33][1300/2353] lr: 2.221e-02, eta: 1 day, 8:58:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9762, loss_cls: 2.8747, loss: 2.8747 +2025-05-31 05:05:45,531 - pyskl - INFO - Epoch [33][1400/2353] lr: 2.220e-02, eta: 1 day, 8:58:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9788, loss_cls: 2.9293, loss: 2.9293 +2025-05-31 05:06:28,555 - pyskl - INFO - Epoch [33][1500/2353] lr: 2.219e-02, eta: 1 day, 8:57:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9794, loss_cls: 2.8077, loss: 2.8077 +2025-05-31 05:07:11,502 - pyskl - INFO - Epoch [33][1600/2353] lr: 2.218e-02, eta: 1 day, 8:56:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9794, loss_cls: 2.9204, loss: 2.9204 +2025-05-31 05:07:54,442 - pyskl - INFO - Epoch [33][1700/2353] lr: 2.218e-02, eta: 1 day, 8:55:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9775, loss_cls: 2.9189, loss: 2.9189 +2025-05-31 05:08:37,436 - pyskl - INFO - Epoch [33][1800/2353] lr: 2.217e-02, eta: 1 day, 8:55:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9694, loss_cls: 2.9569, loss: 2.9569 +2025-05-31 05:09:20,465 - pyskl - INFO - Epoch [33][1900/2353] lr: 2.216e-02, eta: 1 day, 8:54:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9725, loss_cls: 2.9381, loss: 2.9381 +2025-05-31 05:10:03,432 - pyskl - INFO - Epoch [33][2000/2353] lr: 2.216e-02, eta: 1 day, 8:53:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9781, loss_cls: 2.8845, loss: 2.8845 +2025-05-31 05:10:46,750 - pyskl - INFO - Epoch [33][2100/2353] lr: 2.215e-02, eta: 1 day, 8:53:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9825, loss_cls: 2.8100, loss: 2.8100 +2025-05-31 05:11:29,952 - pyskl - INFO - Epoch [33][2200/2353] lr: 2.214e-02, eta: 1 day, 8:52:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9812, loss_cls: 2.8388, loss: 2.8388 +2025-05-31 05:12:13,060 - pyskl - INFO - Epoch [33][2300/2353] lr: 2.214e-02, eta: 1 day, 8:51:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9762, loss_cls: 2.9596, loss: 2.9596 +2025-05-31 05:12:36,401 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-05-31 05:14:01,656 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 05:14:01,734 - pyskl - INFO - +top1_acc 0.8527 +top5_acc 0.9851 +2025-05-31 05:14:01,738 - pyskl - INFO - Epoch(val) [33][1184] top1_acc: 0.8527, top5_acc: 0.9851 +2025-05-31 05:15:05,414 - pyskl - INFO - Epoch [34][100/2353] lr: 2.212e-02, eta: 1 day, 8:50:28, time: 0.637, data_time: 0.207, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9762, loss_cls: 2.9819, loss: 2.9819 +2025-05-31 05:15:48,400 - pyskl - INFO - Epoch [34][200/2353] lr: 2.212e-02, eta: 1 day, 8:49:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9800, loss_cls: 2.9430, loss: 2.9430 +2025-05-31 05:16:31,289 - pyskl - INFO - Epoch [34][300/2353] lr: 2.211e-02, eta: 1 day, 8:49:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9800, loss_cls: 2.7461, loss: 2.7461 +2025-05-31 05:17:14,173 - pyskl - INFO - Epoch [34][400/2353] lr: 2.210e-02, eta: 1 day, 8:48:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9794, loss_cls: 2.8575, loss: 2.8575 +2025-05-31 05:17:57,085 - pyskl - INFO - Epoch [34][500/2353] lr: 2.210e-02, eta: 1 day, 8:47:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9775, loss_cls: 2.8936, loss: 2.8936 +2025-05-31 05:18:40,008 - pyskl - INFO - Epoch [34][600/2353] lr: 2.209e-02, eta: 1 day, 8:46:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9875, loss_cls: 2.7145, loss: 2.7145 +2025-05-31 05:19:22,854 - pyskl - INFO - Epoch [34][700/2353] lr: 2.208e-02, eta: 1 day, 8:46:09, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9825, loss_cls: 2.8633, loss: 2.8633 +2025-05-31 05:20:05,985 - pyskl - INFO - Epoch [34][800/2353] lr: 2.207e-02, eta: 1 day, 8:45:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9750, loss_cls: 2.9641, loss: 2.9641 +2025-05-31 05:20:48,957 - pyskl - INFO - Epoch [34][900/2353] lr: 2.207e-02, eta: 1 day, 8:44:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9750, loss_cls: 2.8877, loss: 2.8877 +2025-05-31 05:21:31,957 - pyskl - INFO - Epoch [34][1000/2353] lr: 2.206e-02, eta: 1 day, 8:44:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9750, loss_cls: 2.8649, loss: 2.8649 +2025-05-31 05:22:14,885 - pyskl - INFO - Epoch [34][1100/2353] lr: 2.205e-02, eta: 1 day, 8:43:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9838, loss_cls: 2.7670, loss: 2.7670 +2025-05-31 05:22:57,840 - pyskl - INFO - Epoch [34][1200/2353] lr: 2.205e-02, eta: 1 day, 8:42:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9812, loss_cls: 2.9494, loss: 2.9494 +2025-05-31 05:23:40,720 - pyskl - INFO - Epoch [34][1300/2353] lr: 2.204e-02, eta: 1 day, 8:41:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9775, loss_cls: 2.7930, loss: 2.7930 +2025-05-31 05:24:23,571 - pyskl - INFO - Epoch [34][1400/2353] lr: 2.203e-02, eta: 1 day, 8:41:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9800, loss_cls: 3.0060, loss: 3.0060 +2025-05-31 05:25:06,514 - pyskl - INFO - Epoch [34][1500/2353] lr: 2.202e-02, eta: 1 day, 8:40:25, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9781, loss_cls: 2.8823, loss: 2.8823 +2025-05-31 05:25:49,530 - pyskl - INFO - Epoch [34][1600/2353] lr: 2.202e-02, eta: 1 day, 8:39:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9838, loss_cls: 2.9354, loss: 2.9354 +2025-05-31 05:26:32,563 - pyskl - INFO - Epoch [34][1700/2353] lr: 2.201e-02, eta: 1 day, 8:39:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9856, loss_cls: 2.9015, loss: 2.9015 +2025-05-31 05:27:15,488 - pyskl - INFO - Epoch [34][1800/2353] lr: 2.200e-02, eta: 1 day, 8:38:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9800, loss_cls: 2.8759, loss: 2.8759 +2025-05-31 05:27:58,654 - pyskl - INFO - Epoch [34][1900/2353] lr: 2.200e-02, eta: 1 day, 8:37:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9781, loss_cls: 2.9197, loss: 2.9197 +2025-05-31 05:28:41,648 - pyskl - INFO - Epoch [34][2000/2353] lr: 2.199e-02, eta: 1 day, 8:36:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9769, loss_cls: 2.8792, loss: 2.8792 +2025-05-31 05:29:24,698 - pyskl - INFO - Epoch [34][2100/2353] lr: 2.198e-02, eta: 1 day, 8:36:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9819, loss_cls: 2.9223, loss: 2.9223 +2025-05-31 05:30:07,785 - pyskl - INFO - Epoch [34][2200/2353] lr: 2.197e-02, eta: 1 day, 8:35:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9819, loss_cls: 2.9429, loss: 2.9429 +2025-05-31 05:30:51,069 - pyskl - INFO - Epoch [34][2300/2353] lr: 2.197e-02, eta: 1 day, 8:34:44, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 2.8937, loss: 2.8937 +2025-05-31 05:31:14,500 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-05-31 05:32:39,489 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 05:32:39,564 - pyskl - INFO - +top1_acc 0.8625 +top5_acc 0.9874 +2025-05-31 05:32:39,568 - pyskl - INFO - Epoch(val) [34][1184] top1_acc: 0.8625, top5_acc: 0.9874 +2025-05-31 05:33:43,193 - pyskl - INFO - Epoch [35][100/2353] lr: 2.196e-02, eta: 1 day, 8:33:32, time: 0.636, data_time: 0.203, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9806, loss_cls: 2.9026, loss: 2.9026 +2025-05-31 05:34:26,142 - pyskl - INFO - Epoch [35][200/2353] lr: 2.195e-02, eta: 1 day, 8:32:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9844, loss_cls: 2.8236, loss: 2.8236 +2025-05-31 05:35:09,048 - pyskl - INFO - Epoch [35][300/2353] lr: 2.194e-02, eta: 1 day, 8:32:05, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9825, loss_cls: 2.8645, loss: 2.8645 +2025-05-31 05:35:52,020 - pyskl - INFO - Epoch [35][400/2353] lr: 2.193e-02, eta: 1 day, 8:31:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9856, loss_cls: 2.9043, loss: 2.9043 +2025-05-31 05:36:34,991 - pyskl - INFO - Epoch [35][500/2353] lr: 2.193e-02, eta: 1 day, 8:30:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9819, loss_cls: 2.8191, loss: 2.8191 +2025-05-31 05:37:17,982 - pyskl - INFO - Epoch [35][600/2353] lr: 2.192e-02, eta: 1 day, 8:29:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9788, loss_cls: 2.9184, loss: 2.9184 +2025-05-31 05:38:00,964 - pyskl - INFO - Epoch [35][700/2353] lr: 2.191e-02, eta: 1 day, 8:29:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9781, loss_cls: 2.8159, loss: 2.8159 +2025-05-31 05:38:43,962 - pyskl - INFO - Epoch [35][800/2353] lr: 2.190e-02, eta: 1 day, 8:28:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9844, loss_cls: 2.8498, loss: 2.8498 +2025-05-31 05:39:26,851 - pyskl - INFO - Epoch [35][900/2353] lr: 2.190e-02, eta: 1 day, 8:27:48, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9812, loss_cls: 2.9147, loss: 2.9147 +2025-05-31 05:40:09,882 - pyskl - INFO - Epoch [35][1000/2353] lr: 2.189e-02, eta: 1 day, 8:27:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 2.8455, loss: 2.8455 +2025-05-31 05:40:52,773 - pyskl - INFO - Epoch [35][1100/2353] lr: 2.188e-02, eta: 1 day, 8:26:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9781, loss_cls: 2.9372, loss: 2.9372 +2025-05-31 05:41:35,725 - pyskl - INFO - Epoch [35][1200/2353] lr: 2.187e-02, eta: 1 day, 8:25:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9738, loss_cls: 2.9027, loss: 2.9027 +2025-05-31 05:42:18,644 - pyskl - INFO - Epoch [35][1300/2353] lr: 2.187e-02, eta: 1 day, 8:24:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9712, loss_cls: 2.9239, loss: 2.9239 +2025-05-31 05:43:01,553 - pyskl - INFO - Epoch [35][1400/2353] lr: 2.186e-02, eta: 1 day, 8:24:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9800, loss_cls: 2.9626, loss: 2.9626 +2025-05-31 05:43:44,512 - pyskl - INFO - Epoch [35][1500/2353] lr: 2.185e-02, eta: 1 day, 8:23:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9775, loss_cls: 2.7905, loss: 2.7905 +2025-05-31 05:44:27,439 - pyskl - INFO - Epoch [35][1600/2353] lr: 2.185e-02, eta: 1 day, 8:22:47, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9806, loss_cls: 2.7805, loss: 2.7805 +2025-05-31 05:45:10,358 - pyskl - INFO - Epoch [35][1700/2353] lr: 2.184e-02, eta: 1 day, 8:22:04, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9788, loss_cls: 2.8600, loss: 2.8600 +2025-05-31 05:45:53,236 - pyskl - INFO - Epoch [35][1800/2353] lr: 2.183e-02, eta: 1 day, 8:21:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9794, loss_cls: 2.9429, loss: 2.9429 +2025-05-31 05:46:36,150 - pyskl - INFO - Epoch [35][1900/2353] lr: 2.182e-02, eta: 1 day, 8:20:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9831, loss_cls: 2.7983, loss: 2.7983 +2025-05-31 05:47:19,153 - pyskl - INFO - Epoch [35][2000/2353] lr: 2.182e-02, eta: 1 day, 8:19:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9831, loss_cls: 2.9303, loss: 2.9303 +2025-05-31 05:48:02,204 - pyskl - INFO - Epoch [35][2100/2353] lr: 2.181e-02, eta: 1 day, 8:19:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9838, loss_cls: 2.8709, loss: 2.8709 +2025-05-31 05:48:45,244 - pyskl - INFO - Epoch [35][2200/2353] lr: 2.180e-02, eta: 1 day, 8:18:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9794, loss_cls: 2.8413, loss: 2.8413 +2025-05-31 05:49:28,185 - pyskl - INFO - Epoch [35][2300/2353] lr: 2.179e-02, eta: 1 day, 8:17:46, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9725, loss_cls: 2.9517, loss: 2.9517 +2025-05-31 05:49:51,508 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-05-31 05:58:55,025 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 05:58:55,100 - pyskl - INFO - +top1_acc 0.8667 +top5_acc 0.9873 +2025-05-31 05:58:55,104 - pyskl - INFO - Epoch(val) [35][1184] top1_acc: 0.8667, top5_acc: 0.9873 +2025-05-31 05:59:58,651 - pyskl - INFO - Epoch [36][100/2353] lr: 2.178e-02, eta: 1 day, 8:16:33, time: 0.635, data_time: 0.206, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9862, loss_cls: 2.6939, loss: 2.6939 +2025-05-31 06:00:41,481 - pyskl - INFO - Epoch [36][200/2353] lr: 2.177e-02, eta: 1 day, 8:15:50, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9875, loss_cls: 2.7324, loss: 2.7324 +2025-05-31 06:01:24,383 - pyskl - INFO - Epoch [36][300/2353] lr: 2.177e-02, eta: 1 day, 8:15:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9781, loss_cls: 2.7681, loss: 2.7681 +2025-05-31 06:02:07,234 - pyskl - INFO - Epoch [36][400/2353] lr: 2.176e-02, eta: 1 day, 8:14:23, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9762, loss_cls: 2.8968, loss: 2.8968 +2025-05-31 06:02:50,110 - pyskl - INFO - Epoch [36][500/2353] lr: 2.175e-02, eta: 1 day, 8:13:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9812, loss_cls: 2.7911, loss: 2.7911 +2025-05-31 06:03:33,055 - pyskl - INFO - Epoch [36][600/2353] lr: 2.174e-02, eta: 1 day, 8:12:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9812, loss_cls: 2.8501, loss: 2.8501 +2025-05-31 06:04:15,928 - pyskl - INFO - Epoch [36][700/2353] lr: 2.174e-02, eta: 1 day, 8:12:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9825, loss_cls: 2.8247, loss: 2.8247 +2025-05-31 06:04:58,758 - pyskl - INFO - Epoch [36][800/2353] lr: 2.173e-02, eta: 1 day, 8:11:31, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9800, loss_cls: 2.8683, loss: 2.8683 +2025-05-31 06:05:41,737 - pyskl - INFO - Epoch [36][900/2353] lr: 2.172e-02, eta: 1 day, 8:10:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9819, loss_cls: 2.8263, loss: 2.8263 +2025-05-31 06:06:24,822 - pyskl - INFO - Epoch [36][1000/2353] lr: 2.171e-02, eta: 1 day, 8:10:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 2.8440, loss: 2.8440 +2025-05-31 06:07:08,048 - pyskl - INFO - Epoch [36][1100/2353] lr: 2.171e-02, eta: 1 day, 8:09:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 2.8113, loss: 2.8113 +2025-05-31 06:07:50,887 - pyskl - INFO - Epoch [36][1200/2353] lr: 2.170e-02, eta: 1 day, 8:08:40, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9800, loss_cls: 2.8775, loss: 2.8775 +2025-05-31 06:08:33,791 - pyskl - INFO - Epoch [36][1300/2353] lr: 2.169e-02, eta: 1 day, 8:07:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9844, loss_cls: 2.8178, loss: 2.8178 +2025-05-31 06:09:16,782 - pyskl - INFO - Epoch [36][1400/2353] lr: 2.168e-02, eta: 1 day, 8:07:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9806, loss_cls: 2.8280, loss: 2.8280 +2025-05-31 06:09:59,738 - pyskl - INFO - Epoch [36][1500/2353] lr: 2.168e-02, eta: 1 day, 8:06:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9800, loss_cls: 2.8561, loss: 2.8561 +2025-05-31 06:10:42,746 - pyskl - INFO - Epoch [36][1600/2353] lr: 2.167e-02, eta: 1 day, 8:05:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9775, loss_cls: 2.8318, loss: 2.8318 +2025-05-31 06:11:25,684 - pyskl - INFO - Epoch [36][1700/2353] lr: 2.166e-02, eta: 1 day, 8:05:05, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9781, loss_cls: 2.8308, loss: 2.8308 +2025-05-31 06:12:08,591 - pyskl - INFO - Epoch [36][1800/2353] lr: 2.165e-02, eta: 1 day, 8:04:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9850, loss_cls: 2.8560, loss: 2.8560 +2025-05-31 06:12:51,539 - pyskl - INFO - Epoch [36][1900/2353] lr: 2.165e-02, eta: 1 day, 8:03:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9762, loss_cls: 2.8884, loss: 2.8884 +2025-05-31 06:13:34,584 - pyskl - INFO - Epoch [36][2000/2353] lr: 2.164e-02, eta: 1 day, 8:02:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9769, loss_cls: 2.9193, loss: 2.9193 +2025-05-31 06:14:17,769 - pyskl - INFO - Epoch [36][2100/2353] lr: 2.163e-02, eta: 1 day, 8:02:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9812, loss_cls: 2.8442, loss: 2.8442 +2025-05-31 06:15:00,612 - pyskl - INFO - Epoch [36][2200/2353] lr: 2.162e-02, eta: 1 day, 8:01:31, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9806, loss_cls: 2.8210, loss: 2.8210 +2025-05-31 06:15:43,534 - pyskl - INFO - Epoch [36][2300/2353] lr: 2.162e-02, eta: 1 day, 8:00:48, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9806, loss_cls: 2.8378, loss: 2.8378 +2025-05-31 06:16:06,906 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-05-31 06:17:32,397 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 06:17:32,473 - pyskl - INFO - +top1_acc 0.8766 +top5_acc 0.9887 +2025-05-31 06:17:32,527 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_24.pth was removed +2025-05-31 06:17:33,589 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. +2025-05-31 06:17:33,590 - pyskl - INFO - Best top1_acc is 0.8766 at 36 epoch. +2025-05-31 06:17:33,593 - pyskl - INFO - Epoch(val) [36][1184] top1_acc: 0.8766, top5_acc: 0.9887 +2025-05-31 06:18:37,420 - pyskl - INFO - Epoch [37][100/2353] lr: 2.160e-02, eta: 1 day, 7:59:36, time: 0.638, data_time: 0.207, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9862, loss_cls: 2.7138, loss: 2.7138 +2025-05-31 06:19:20,484 - pyskl - INFO - Epoch [37][200/2353] lr: 2.160e-02, eta: 1 day, 7:58:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9806, loss_cls: 2.8655, loss: 2.8655 +2025-05-31 06:20:03,549 - pyskl - INFO - Epoch [37][300/2353] lr: 2.159e-02, eta: 1 day, 7:58:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9831, loss_cls: 2.7022, loss: 2.7022 +2025-05-31 06:20:46,591 - pyskl - INFO - Epoch [37][400/2353] lr: 2.158e-02, eta: 1 day, 7:57:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9819, loss_cls: 2.8023, loss: 2.8023 +2025-05-31 06:21:29,702 - pyskl - INFO - Epoch [37][500/2353] lr: 2.157e-02, eta: 1 day, 7:56:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9794, loss_cls: 2.6624, loss: 2.6624 +2025-05-31 06:22:12,752 - pyskl - INFO - Epoch [37][600/2353] lr: 2.157e-02, eta: 1 day, 7:56:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9819, loss_cls: 2.8018, loss: 2.8018 +2025-05-31 06:22:55,886 - pyskl - INFO - Epoch [37][700/2353] lr: 2.156e-02, eta: 1 day, 7:55:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9794, loss_cls: 2.7503, loss: 2.7503 +2025-05-31 06:23:38,929 - pyskl - INFO - Epoch [37][800/2353] lr: 2.155e-02, eta: 1 day, 7:54:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9812, loss_cls: 2.8406, loss: 2.8406 +2025-05-31 06:24:22,011 - pyskl - INFO - Epoch [37][900/2353] lr: 2.154e-02, eta: 1 day, 7:53:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9831, loss_cls: 2.8292, loss: 2.8292 +2025-05-31 06:25:05,093 - pyskl - INFO - Epoch [37][1000/2353] lr: 2.154e-02, eta: 1 day, 7:53:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9812, loss_cls: 2.8889, loss: 2.8889 +2025-05-31 06:25:48,259 - pyskl - INFO - Epoch [37][1100/2353] lr: 2.153e-02, eta: 1 day, 7:52:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9762, loss_cls: 2.8413, loss: 2.8413 +2025-05-31 06:26:31,369 - pyskl - INFO - Epoch [37][1200/2353] lr: 2.152e-02, eta: 1 day, 7:51:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9762, loss_cls: 2.7317, loss: 2.7317 +2025-05-31 06:27:14,448 - pyskl - INFO - Epoch [37][1300/2353] lr: 2.151e-02, eta: 1 day, 7:51:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9794, loss_cls: 2.8803, loss: 2.8803 +2025-05-31 06:27:57,653 - pyskl - INFO - Epoch [37][1400/2353] lr: 2.150e-02, eta: 1 day, 7:50:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9775, loss_cls: 2.9003, loss: 2.9003 +2025-05-31 06:28:40,846 - pyskl - INFO - Epoch [37][1500/2353] lr: 2.150e-02, eta: 1 day, 7:49:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9856, loss_cls: 2.7528, loss: 2.7528 +2025-05-31 06:29:23,980 - pyskl - INFO - Epoch [37][1600/2353] lr: 2.149e-02, eta: 1 day, 7:48:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9838, loss_cls: 2.7521, loss: 2.7521 +2025-05-31 06:30:07,038 - pyskl - INFO - Epoch [37][1700/2353] lr: 2.148e-02, eta: 1 day, 7:48:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9788, loss_cls: 2.8189, loss: 2.8189 +2025-05-31 06:30:50,065 - pyskl - INFO - Epoch [37][1800/2353] lr: 2.147e-02, eta: 1 day, 7:47:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9831, loss_cls: 2.8229, loss: 2.8229 +2025-05-31 06:31:33,225 - pyskl - INFO - Epoch [37][1900/2353] lr: 2.147e-02, eta: 1 day, 7:46:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9731, loss_cls: 2.9533, loss: 2.9533 +2025-05-31 06:32:16,430 - pyskl - INFO - Epoch [37][2000/2353] lr: 2.146e-02, eta: 1 day, 7:46:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9831, loss_cls: 2.8607, loss: 2.8607 +2025-05-31 06:32:59,618 - pyskl - INFO - Epoch [37][2100/2353] lr: 2.145e-02, eta: 1 day, 7:45:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9831, loss_cls: 2.7991, loss: 2.7991 +2025-05-31 06:33:42,792 - pyskl - INFO - Epoch [37][2200/2353] lr: 2.144e-02, eta: 1 day, 7:44:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9794, loss_cls: 2.8379, loss: 2.8379 +2025-05-31 06:34:25,975 - pyskl - INFO - Epoch [37][2300/2353] lr: 2.144e-02, eta: 1 day, 7:44:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9812, loss_cls: 2.8222, loss: 2.8222 +2025-05-31 06:34:49,414 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-05-31 06:36:14,709 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 06:36:14,785 - pyskl - INFO - +top1_acc 0.8622 +top5_acc 0.9854 +2025-05-31 06:36:14,788 - pyskl - INFO - Epoch(val) [37][1184] top1_acc: 0.8622, top5_acc: 0.9854 +2025-05-31 06:37:18,387 - pyskl - INFO - Epoch [38][100/2353] lr: 2.142e-02, eta: 1 day, 7:42:50, time: 0.636, data_time: 0.206, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 2.6632, loss: 2.6632 +2025-05-31 06:38:01,509 - pyskl - INFO - Epoch [38][200/2353] lr: 2.142e-02, eta: 1 day, 7:42:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 2.5952, loss: 2.5952 +2025-05-31 06:38:44,652 - pyskl - INFO - Epoch [38][300/2353] lr: 2.141e-02, eta: 1 day, 7:41:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9869, loss_cls: 2.7708, loss: 2.7708 +2025-05-31 06:39:27,770 - pyskl - INFO - Epoch [38][400/2353] lr: 2.140e-02, eta: 1 day, 7:40:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9850, loss_cls: 2.7385, loss: 2.7385 +2025-05-31 06:40:10,907 - pyskl - INFO - Epoch [38][500/2353] lr: 2.139e-02, eta: 1 day, 7:40:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9794, loss_cls: 2.8475, loss: 2.8475 +2025-05-31 06:40:53,986 - pyskl - INFO - Epoch [38][600/2353] lr: 2.138e-02, eta: 1 day, 7:39:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9844, loss_cls: 2.8176, loss: 2.8176 +2025-05-31 06:41:37,057 - pyskl - INFO - Epoch [38][700/2353] lr: 2.138e-02, eta: 1 day, 7:38:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9850, loss_cls: 2.7544, loss: 2.7544 +2025-05-31 06:42:20,191 - pyskl - INFO - Epoch [38][800/2353] lr: 2.137e-02, eta: 1 day, 7:37:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9762, loss_cls: 2.7737, loss: 2.7737 +2025-05-31 06:43:03,273 - pyskl - INFO - Epoch [38][900/2353] lr: 2.136e-02, eta: 1 day, 7:37:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 2.8257, loss: 2.8257 +2025-05-31 06:43:46,317 - pyskl - INFO - Epoch [38][1000/2353] lr: 2.135e-02, eta: 1 day, 7:36:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9794, loss_cls: 2.7883, loss: 2.7883 +2025-05-31 06:44:29,486 - pyskl - INFO - Epoch [38][1100/2353] lr: 2.134e-02, eta: 1 day, 7:35:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9838, loss_cls: 2.8719, loss: 2.8719 +2025-05-31 06:45:12,502 - pyskl - INFO - Epoch [38][1200/2353] lr: 2.134e-02, eta: 1 day, 7:35:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9750, loss_cls: 2.8292, loss: 2.8292 +2025-05-31 06:45:55,466 - pyskl - INFO - Epoch [38][1300/2353] lr: 2.133e-02, eta: 1 day, 7:34:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9788, loss_cls: 2.7663, loss: 2.7663 +2025-05-31 06:46:38,427 - pyskl - INFO - Epoch [38][1400/2353] lr: 2.132e-02, eta: 1 day, 7:33:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9756, loss_cls: 2.9224, loss: 2.9224 +2025-05-31 06:47:21,372 - pyskl - INFO - Epoch [38][1500/2353] lr: 2.131e-02, eta: 1 day, 7:32:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9788, loss_cls: 2.8659, loss: 2.8659 +2025-05-31 06:48:04,305 - pyskl - INFO - Epoch [38][1600/2353] lr: 2.131e-02, eta: 1 day, 7:32:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9788, loss_cls: 2.9392, loss: 2.9392 +2025-05-31 06:48:47,217 - pyskl - INFO - Epoch [38][1700/2353] lr: 2.130e-02, eta: 1 day, 7:31:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9819, loss_cls: 2.8393, loss: 2.8393 +2025-05-31 06:49:30,191 - pyskl - INFO - Epoch [38][1800/2353] lr: 2.129e-02, eta: 1 day, 7:30:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 2.7623, loss: 2.7623 +2025-05-31 06:50:13,197 - pyskl - INFO - Epoch [38][1900/2353] lr: 2.128e-02, eta: 1 day, 7:30:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9838, loss_cls: 2.8409, loss: 2.8409 +2025-05-31 06:50:56,197 - pyskl - INFO - Epoch [38][2000/2353] lr: 2.127e-02, eta: 1 day, 7:29:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9775, loss_cls: 2.8758, loss: 2.8758 +2025-05-31 06:51:39,139 - pyskl - INFO - Epoch [38][2100/2353] lr: 2.127e-02, eta: 1 day, 7:28:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9775, loss_cls: 2.7792, loss: 2.7792 +2025-05-31 06:52:22,100 - pyskl - INFO - Epoch [38][2200/2353] lr: 2.126e-02, eta: 1 day, 7:27:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9819, loss_cls: 2.7947, loss: 2.7947 +2025-05-31 06:53:05,134 - pyskl - INFO - Epoch [38][2300/2353] lr: 2.125e-02, eta: 1 day, 7:27:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9738, loss_cls: 2.8207, loss: 2.8207 +2025-05-31 06:53:28,479 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-05-31 06:54:53,942 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 06:54:54,016 - pyskl - INFO - +top1_acc 0.8597 +top5_acc 0.9874 +2025-05-31 06:54:54,019 - pyskl - INFO - Epoch(val) [38][1184] top1_acc: 0.8597, top5_acc: 0.9874 +2025-05-31 06:55:57,819 - pyskl - INFO - Epoch [39][100/2353] lr: 2.124e-02, eta: 1 day, 7:25:58, time: 0.638, data_time: 0.207, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 2.5323, loss: 2.5323 +2025-05-31 06:56:40,854 - pyskl - INFO - Epoch [39][200/2353] lr: 2.123e-02, eta: 1 day, 7:25:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9819, loss_cls: 2.7746, loss: 2.7746 +2025-05-31 06:57:23,814 - pyskl - INFO - Epoch [39][300/2353] lr: 2.122e-02, eta: 1 day, 7:24:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9819, loss_cls: 2.6094, loss: 2.6094 +2025-05-31 06:58:06,832 - pyskl - INFO - Epoch [39][400/2353] lr: 2.121e-02, eta: 1 day, 7:23:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9850, loss_cls: 2.8043, loss: 2.8043 +2025-05-31 06:58:49,729 - pyskl - INFO - Epoch [39][500/2353] lr: 2.121e-02, eta: 1 day, 7:23:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9738, loss_cls: 2.8368, loss: 2.8368 +2025-05-31 06:59:32,649 - pyskl - INFO - Epoch [39][600/2353] lr: 2.120e-02, eta: 1 day, 7:22:24, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 2.7685, loss: 2.7685 +2025-05-31 07:00:15,521 - pyskl - INFO - Epoch [39][700/2353] lr: 2.119e-02, eta: 1 day, 7:21:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9806, loss_cls: 2.6933, loss: 2.6933 +2025-05-31 07:00:58,447 - pyskl - INFO - Epoch [39][800/2353] lr: 2.118e-02, eta: 1 day, 7:20:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9819, loss_cls: 2.8084, loss: 2.8084 +2025-05-31 07:01:41,485 - pyskl - INFO - Epoch [39][900/2353] lr: 2.117e-02, eta: 1 day, 7:20:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9781, loss_cls: 2.7863, loss: 2.7863 +2025-05-31 07:02:24,500 - pyskl - INFO - Epoch [39][1000/2353] lr: 2.117e-02, eta: 1 day, 7:19:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9825, loss_cls: 2.7995, loss: 2.7995 +2025-05-31 07:03:07,751 - pyskl - INFO - Epoch [39][1100/2353] lr: 2.116e-02, eta: 1 day, 7:18:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9819, loss_cls: 2.8358, loss: 2.8358 +2025-05-31 07:03:50,838 - pyskl - INFO - Epoch [39][1200/2353] lr: 2.115e-02, eta: 1 day, 7:18:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9756, loss_cls: 2.8126, loss: 2.8126 +2025-05-31 07:04:33,808 - pyskl - INFO - Epoch [39][1300/2353] lr: 2.114e-02, eta: 1 day, 7:17:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9831, loss_cls: 2.8760, loss: 2.8760 +2025-05-31 07:05:16,667 - pyskl - INFO - Epoch [39][1400/2353] lr: 2.113e-02, eta: 1 day, 7:16:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9762, loss_cls: 2.9325, loss: 2.9325 +2025-05-31 07:05:59,445 - pyskl - INFO - Epoch [39][1500/2353] lr: 2.113e-02, eta: 1 day, 7:15:58, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9806, loss_cls: 2.7233, loss: 2.7233 +2025-05-31 07:06:42,346 - pyskl - INFO - Epoch [39][1600/2353] lr: 2.112e-02, eta: 1 day, 7:15:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9794, loss_cls: 2.8188, loss: 2.8188 +2025-05-31 07:07:25,246 - pyskl - INFO - Epoch [39][1700/2353] lr: 2.111e-02, eta: 1 day, 7:14:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9881, loss_cls: 2.6819, loss: 2.6819 +2025-05-31 07:08:08,202 - pyskl - INFO - Epoch [39][1800/2353] lr: 2.110e-02, eta: 1 day, 7:13:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9838, loss_cls: 2.8352, loss: 2.8352 +2025-05-31 07:08:51,211 - pyskl - INFO - Epoch [39][1900/2353] lr: 2.109e-02, eta: 1 day, 7:13:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9825, loss_cls: 2.7836, loss: 2.7836 +2025-05-31 07:09:34,243 - pyskl - INFO - Epoch [39][2000/2353] lr: 2.109e-02, eta: 1 day, 7:12:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9775, loss_cls: 2.8652, loss: 2.8652 +2025-05-31 07:10:17,300 - pyskl - INFO - Epoch [39][2100/2353] lr: 2.108e-02, eta: 1 day, 7:11:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9862, loss_cls: 2.8183, loss: 2.8183 +2025-05-31 07:11:00,362 - pyskl - INFO - Epoch [39][2200/2353] lr: 2.107e-02, eta: 1 day, 7:10:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9825, loss_cls: 2.8798, loss: 2.8798 +2025-05-31 07:11:43,461 - pyskl - INFO - Epoch [39][2300/2353] lr: 2.106e-02, eta: 1 day, 7:10:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9825, loss_cls: 2.7859, loss: 2.7859 +2025-05-31 07:12:06,880 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-05-31 07:13:32,319 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 07:13:32,394 - pyskl - INFO - +top1_acc 0.8776 +top5_acc 0.9896 +2025-05-31 07:13:32,448 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_36.pth was removed +2025-05-31 07:13:33,461 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_39.pth. +2025-05-31 07:13:33,462 - pyskl - INFO - Best top1_acc is 0.8776 at 39 epoch. +2025-05-31 07:13:33,464 - pyskl - INFO - Epoch(val) [39][1184] top1_acc: 0.8776, top5_acc: 0.9896 +2025-05-31 07:14:36,727 - pyskl - INFO - Epoch [40][100/2353] lr: 2.105e-02, eta: 1 day, 7:09:02, time: 0.633, data_time: 0.203, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9825, loss_cls: 2.6564, loss: 2.6564 +2025-05-31 07:15:19,842 - pyskl - INFO - Epoch [40][200/2353] lr: 2.104e-02, eta: 1 day, 7:08:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9825, loss_cls: 2.6617, loss: 2.6617 +2025-05-31 07:16:02,894 - pyskl - INFO - Epoch [40][300/2353] lr: 2.103e-02, eta: 1 day, 7:07:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9856, loss_cls: 2.7127, loss: 2.7127 +2025-05-31 07:16:45,931 - pyskl - INFO - Epoch [40][400/2353] lr: 2.102e-02, eta: 1 day, 7:06:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9788, loss_cls: 2.7686, loss: 2.7686 +2025-05-31 07:17:28,966 - pyskl - INFO - Epoch [40][500/2353] lr: 2.102e-02, eta: 1 day, 7:06:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9781, loss_cls: 2.7807, loss: 2.7807 +2025-05-31 07:18:12,011 - pyskl - INFO - Epoch [40][600/2353] lr: 2.101e-02, eta: 1 day, 7:05:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9838, loss_cls: 2.8688, loss: 2.8688 +2025-05-31 07:18:55,045 - pyskl - INFO - Epoch [40][700/2353] lr: 2.100e-02, eta: 1 day, 7:04:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9812, loss_cls: 2.8037, loss: 2.8037 +2025-05-31 07:19:38,016 - pyskl - INFO - Epoch [40][800/2353] lr: 2.099e-02, eta: 1 day, 7:04:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9794, loss_cls: 2.8468, loss: 2.8468 +2025-05-31 07:20:21,073 - pyskl - INFO - Epoch [40][900/2353] lr: 2.098e-02, eta: 1 day, 7:03:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9875, loss_cls: 2.6686, loss: 2.6686 +2025-05-31 07:21:04,164 - pyskl - INFO - Epoch [40][1000/2353] lr: 2.098e-02, eta: 1 day, 7:02:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9794, loss_cls: 2.6774, loss: 2.6774 +2025-05-31 07:21:47,154 - pyskl - INFO - Epoch [40][1100/2353] lr: 2.097e-02, eta: 1 day, 7:01:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9838, loss_cls: 2.7259, loss: 2.7259 +2025-05-31 07:22:30,120 - pyskl - INFO - Epoch [40][1200/2353] lr: 2.096e-02, eta: 1 day, 7:01:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9800, loss_cls: 2.7917, loss: 2.7917 +2025-05-31 07:23:13,233 - pyskl - INFO - Epoch [40][1300/2353] lr: 2.095e-02, eta: 1 day, 7:00:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9781, loss_cls: 2.7621, loss: 2.7621 +2025-05-31 07:23:56,324 - pyskl - INFO - Epoch [40][1400/2353] lr: 2.094e-02, eta: 1 day, 6:59:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9750, loss_cls: 2.8358, loss: 2.8358 +2025-05-31 07:24:39,297 - pyskl - INFO - Epoch [40][1500/2353] lr: 2.093e-02, eta: 1 day, 6:59:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9806, loss_cls: 2.7021, loss: 2.7021 +2025-05-31 07:25:22,254 - pyskl - INFO - Epoch [40][1600/2353] lr: 2.093e-02, eta: 1 day, 6:58:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9788, loss_cls: 2.8497, loss: 2.8497 +2025-05-31 07:26:05,129 - pyskl - INFO - Epoch [40][1700/2353] lr: 2.092e-02, eta: 1 day, 6:57:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9812, loss_cls: 2.8720, loss: 2.8720 +2025-05-31 07:26:48,048 - pyskl - INFO - Epoch [40][1800/2353] lr: 2.091e-02, eta: 1 day, 6:56:55, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9856, loss_cls: 2.7218, loss: 2.7218 +2025-05-31 07:27:30,881 - pyskl - INFO - Epoch [40][1900/2353] lr: 2.090e-02, eta: 1 day, 6:56:12, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9750, loss_cls: 2.8753, loss: 2.8753 +2025-05-31 07:28:13,891 - pyskl - INFO - Epoch [40][2000/2353] lr: 2.089e-02, eta: 1 day, 6:55:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9788, loss_cls: 2.8162, loss: 2.8162 +2025-05-31 07:28:56,867 - pyskl - INFO - Epoch [40][2100/2353] lr: 2.089e-02, eta: 1 day, 6:54:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9756, loss_cls: 2.7649, loss: 2.7649 +2025-05-31 07:29:40,013 - pyskl - INFO - Epoch [40][2200/2353] lr: 2.088e-02, eta: 1 day, 6:54:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9781, loss_cls: 2.8057, loss: 2.8057 +2025-05-31 07:30:22,917 - pyskl - INFO - Epoch [40][2300/2353] lr: 2.087e-02, eta: 1 day, 6:53:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9762, loss_cls: 2.8080, loss: 2.8080 +2025-05-31 07:30:46,246 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-05-31 07:39:15,846 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 07:39:15,921 - pyskl - INFO - +top1_acc 0.8957 +top5_acc 0.9897 +2025-05-31 07:39:15,980 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_39.pth was removed +2025-05-31 07:39:17,054 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. +2025-05-31 07:39:17,054 - pyskl - INFO - Best top1_acc is 0.8957 at 40 epoch. +2025-05-31 07:39:17,058 - pyskl - INFO - Epoch(val) [40][1184] top1_acc: 0.8957, top5_acc: 0.9897 +2025-05-31 07:40:20,632 - pyskl - INFO - Epoch [41][100/2353] lr: 2.086e-02, eta: 1 day, 6:52:09, time: 0.636, data_time: 0.208, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 2.6250, loss: 2.6250 +2025-05-31 07:41:03,789 - pyskl - INFO - Epoch [41][200/2353] lr: 2.085e-02, eta: 1 day, 6:51:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9869, loss_cls: 2.6201, loss: 2.6201 +2025-05-31 07:41:46,812 - pyskl - INFO - Epoch [41][300/2353] lr: 2.084e-02, eta: 1 day, 6:50:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9875, loss_cls: 2.7212, loss: 2.7212 +2025-05-31 07:42:30,092 - pyskl - INFO - Epoch [41][400/2353] lr: 2.083e-02, eta: 1 day, 6:50:02, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 2.7024, loss: 2.7024 +2025-05-31 07:43:13,457 - pyskl - INFO - Epoch [41][500/2353] lr: 2.082e-02, eta: 1 day, 6:49:20, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9794, loss_cls: 2.7263, loss: 2.7263 +2025-05-31 07:43:56,576 - pyskl - INFO - Epoch [41][600/2353] lr: 2.081e-02, eta: 1 day, 6:48:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9806, loss_cls: 2.6971, loss: 2.6971 +2025-05-31 07:44:39,592 - pyskl - INFO - Epoch [41][700/2353] lr: 2.081e-02, eta: 1 day, 6:47:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9844, loss_cls: 2.7382, loss: 2.7382 +2025-05-31 07:45:22,649 - pyskl - INFO - Epoch [41][800/2353] lr: 2.080e-02, eta: 1 day, 6:47:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 2.8321, loss: 2.8321 +2025-05-31 07:46:05,678 - pyskl - INFO - Epoch [41][900/2353] lr: 2.079e-02, eta: 1 day, 6:46:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9800, loss_cls: 2.8543, loss: 2.8543 +2025-05-31 07:46:48,905 - pyskl - INFO - Epoch [41][1000/2353] lr: 2.078e-02, eta: 1 day, 6:45:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9738, loss_cls: 2.7592, loss: 2.7592 +2025-05-31 07:47:32,044 - pyskl - INFO - Epoch [41][1100/2353] lr: 2.077e-02, eta: 1 day, 6:45:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9775, loss_cls: 2.8802, loss: 2.8802 +2025-05-31 07:48:15,048 - pyskl - INFO - Epoch [41][1200/2353] lr: 2.076e-02, eta: 1 day, 6:44:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9856, loss_cls: 2.7198, loss: 2.7198 +2025-05-31 07:48:58,001 - pyskl - INFO - Epoch [41][1300/2353] lr: 2.076e-02, eta: 1 day, 6:43:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9812, loss_cls: 2.7255, loss: 2.7255 +2025-05-31 07:49:40,940 - pyskl - INFO - Epoch [41][1400/2353] lr: 2.075e-02, eta: 1 day, 6:42:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9794, loss_cls: 2.8293, loss: 2.8293 +2025-05-31 07:50:23,876 - pyskl - INFO - Epoch [41][1500/2353] lr: 2.074e-02, eta: 1 day, 6:42:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9775, loss_cls: 2.8644, loss: 2.8644 +2025-05-31 07:51:06,895 - pyskl - INFO - Epoch [41][1600/2353] lr: 2.073e-02, eta: 1 day, 6:41:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9875, loss_cls: 2.7070, loss: 2.7070 +2025-05-31 07:51:49,944 - pyskl - INFO - Epoch [41][1700/2353] lr: 2.072e-02, eta: 1 day, 6:40:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9738, loss_cls: 2.8354, loss: 2.8354 +2025-05-31 07:52:32,991 - pyskl - INFO - Epoch [41][1800/2353] lr: 2.071e-02, eta: 1 day, 6:40:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9856, loss_cls: 2.6689, loss: 2.6689 +2025-05-31 07:53:16,082 - pyskl - INFO - Epoch [41][1900/2353] lr: 2.071e-02, eta: 1 day, 6:39:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9875, loss_cls: 2.7942, loss: 2.7942 +2025-05-31 07:53:59,098 - pyskl - INFO - Epoch [41][2000/2353] lr: 2.070e-02, eta: 1 day, 6:38:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 2.6895, loss: 2.6895 +2025-05-31 07:54:42,148 - pyskl - INFO - Epoch [41][2100/2353] lr: 2.069e-02, eta: 1 day, 6:37:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9806, loss_cls: 2.7717, loss: 2.7717 +2025-05-31 07:55:25,141 - pyskl - INFO - Epoch [41][2200/2353] lr: 2.068e-02, eta: 1 day, 6:37:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9738, loss_cls: 2.7427, loss: 2.7427 +2025-05-31 07:56:08,129 - pyskl - INFO - Epoch [41][2300/2353] lr: 2.067e-02, eta: 1 day, 6:36:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9844, loss_cls: 2.7799, loss: 2.7799 +2025-05-31 07:56:31,436 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-05-31 07:57:57,938 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 07:57:58,013 - pyskl - INFO - +top1_acc 0.8693 +top5_acc 0.9871 +2025-05-31 07:57:58,016 - pyskl - INFO - Epoch(val) [41][1184] top1_acc: 0.8693, top5_acc: 0.9871 +2025-05-31 07:59:01,106 - pyskl - INFO - Epoch [42][100/2353] lr: 2.066e-02, eta: 1 day, 6:35:18, time: 0.631, data_time: 0.201, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9850, loss_cls: 2.7366, loss: 2.7366 +2025-05-31 07:59:44,090 - pyskl - INFO - Epoch [42][200/2353] lr: 2.065e-02, eta: 1 day, 6:34:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9819, loss_cls: 2.7514, loss: 2.7514 +2025-05-31 08:00:27,041 - pyskl - INFO - Epoch [42][300/2353] lr: 2.064e-02, eta: 1 day, 6:33:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9844, loss_cls: 2.7344, loss: 2.7344 +2025-05-31 08:01:09,889 - pyskl - INFO - Epoch [42][400/2353] lr: 2.063e-02, eta: 1 day, 6:33:09, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9806, loss_cls: 2.7261, loss: 2.7261 +2025-05-31 08:01:52,743 - pyskl - INFO - Epoch [42][500/2353] lr: 2.063e-02, eta: 1 day, 6:32:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9856, loss_cls: 2.6993, loss: 2.6993 +2025-05-31 08:02:35,706 - pyskl - INFO - Epoch [42][600/2353] lr: 2.062e-02, eta: 1 day, 6:31:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9794, loss_cls: 2.7386, loss: 2.7386 +2025-05-31 08:03:18,812 - pyskl - INFO - Epoch [42][700/2353] lr: 2.061e-02, eta: 1 day, 6:31:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9869, loss_cls: 2.7381, loss: 2.7381 +2025-05-31 08:04:01,853 - pyskl - INFO - Epoch [42][800/2353] lr: 2.060e-02, eta: 1 day, 6:30:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9881, loss_cls: 2.7466, loss: 2.7466 +2025-05-31 08:04:44,936 - pyskl - INFO - Epoch [42][900/2353] lr: 2.059e-02, eta: 1 day, 6:29:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9806, loss_cls: 2.7987, loss: 2.7987 +2025-05-31 08:05:28,184 - pyskl - INFO - Epoch [42][1000/2353] lr: 2.058e-02, eta: 1 day, 6:28:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9769, loss_cls: 2.7887, loss: 2.7887 +2025-05-31 08:06:11,229 - pyskl - INFO - Epoch [42][1100/2353] lr: 2.057e-02, eta: 1 day, 6:28:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9806, loss_cls: 2.7731, loss: 2.7731 +2025-05-31 08:06:54,249 - pyskl - INFO - Epoch [42][1200/2353] lr: 2.057e-02, eta: 1 day, 6:27:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9819, loss_cls: 2.7885, loss: 2.7885 +2025-05-31 08:07:37,210 - pyskl - INFO - Epoch [42][1300/2353] lr: 2.056e-02, eta: 1 day, 6:26:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9800, loss_cls: 2.7562, loss: 2.7562 +2025-05-31 08:08:20,130 - pyskl - INFO - Epoch [42][1400/2353] lr: 2.055e-02, eta: 1 day, 6:26:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9831, loss_cls: 2.7541, loss: 2.7541 +2025-05-31 08:09:03,074 - pyskl - INFO - Epoch [42][1500/2353] lr: 2.054e-02, eta: 1 day, 6:25:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9812, loss_cls: 2.8093, loss: 2.8093 +2025-05-31 08:09:45,971 - pyskl - INFO - Epoch [42][1600/2353] lr: 2.053e-02, eta: 1 day, 6:24:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 2.7483, loss: 2.7483 +2025-05-31 08:10:28,934 - pyskl - INFO - Epoch [42][1700/2353] lr: 2.052e-02, eta: 1 day, 6:23:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9869, loss_cls: 2.6987, loss: 2.6987 +2025-05-31 08:11:11,910 - pyskl - INFO - Epoch [42][1800/2353] lr: 2.052e-02, eta: 1 day, 6:23:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9819, loss_cls: 2.6493, loss: 2.6493 +2025-05-31 08:11:54,869 - pyskl - INFO - Epoch [42][1900/2353] lr: 2.051e-02, eta: 1 day, 6:22:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9831, loss_cls: 2.7283, loss: 2.7283 +2025-05-31 08:12:37,830 - pyskl - INFO - Epoch [42][2000/2353] lr: 2.050e-02, eta: 1 day, 6:21:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9788, loss_cls: 2.7579, loss: 2.7579 +2025-05-31 08:13:20,862 - pyskl - INFO - Epoch [42][2100/2353] lr: 2.049e-02, eta: 1 day, 6:21:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9825, loss_cls: 2.7831, loss: 2.7831 +2025-05-31 08:14:03,909 - pyskl - INFO - Epoch [42][2200/2353] lr: 2.048e-02, eta: 1 day, 6:20:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9831, loss_cls: 2.7489, loss: 2.7489 +2025-05-31 08:14:46,969 - pyskl - INFO - Epoch [42][2300/2353] lr: 2.047e-02, eta: 1 day, 6:19:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9838, loss_cls: 2.6781, loss: 2.6781 +2025-05-31 08:15:10,333 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-05-31 08:16:35,634 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 08:16:35,711 - pyskl - INFO - +top1_acc 0.8825 +top5_acc 0.9896 +2025-05-31 08:16:35,715 - pyskl - INFO - Epoch(val) [42][1184] top1_acc: 0.8825, top5_acc: 0.9896 +2025-05-31 08:17:39,137 - pyskl - INFO - Epoch [43][100/2353] lr: 2.046e-02, eta: 1 day, 6:18:24, time: 0.634, data_time: 0.205, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9881, loss_cls: 2.5933, loss: 2.5933 +2025-05-31 08:18:22,173 - pyskl - INFO - Epoch [43][200/2353] lr: 2.045e-02, eta: 1 day, 6:17:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9850, loss_cls: 2.6725, loss: 2.6725 +2025-05-31 08:19:05,239 - pyskl - INFO - Epoch [43][300/2353] lr: 2.044e-02, eta: 1 day, 6:16:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9869, loss_cls: 2.7035, loss: 2.7035 +2025-05-31 08:19:48,154 - pyskl - INFO - Epoch [43][400/2353] lr: 2.043e-02, eta: 1 day, 6:16:16, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9844, loss_cls: 2.6991, loss: 2.6991 +2025-05-31 08:20:31,218 - pyskl - INFO - Epoch [43][500/2353] lr: 2.042e-02, eta: 1 day, 6:15:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9762, loss_cls: 2.7171, loss: 2.7171 +2025-05-31 08:21:14,216 - pyskl - INFO - Epoch [43][600/2353] lr: 2.042e-02, eta: 1 day, 6:14:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9844, loss_cls: 2.5692, loss: 2.5692 +2025-05-31 08:21:57,190 - pyskl - INFO - Epoch [43][700/2353] lr: 2.041e-02, eta: 1 day, 6:14:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9831, loss_cls: 2.6356, loss: 2.6356 +2025-05-31 08:22:40,284 - pyskl - INFO - Epoch [43][800/2353] lr: 2.040e-02, eta: 1 day, 6:13:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9806, loss_cls: 2.6644, loss: 2.6644 +2025-05-31 08:23:23,368 - pyskl - INFO - Epoch [43][900/2353] lr: 2.039e-02, eta: 1 day, 6:12:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9850, loss_cls: 2.7057, loss: 2.7057 +2025-05-31 08:24:06,715 - pyskl - INFO - Epoch [43][1000/2353] lr: 2.038e-02, eta: 1 day, 6:12:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 2.6632, loss: 2.6632 +2025-05-31 08:24:49,865 - pyskl - INFO - Epoch [43][1100/2353] lr: 2.037e-02, eta: 1 day, 6:11:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9850, loss_cls: 2.6701, loss: 2.6701 +2025-05-31 08:25:33,145 - pyskl - INFO - Epoch [43][1200/2353] lr: 2.036e-02, eta: 1 day, 6:10:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9788, loss_cls: 2.7430, loss: 2.7430 +2025-05-31 08:26:16,276 - pyskl - INFO - Epoch [43][1300/2353] lr: 2.036e-02, eta: 1 day, 6:09:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9775, loss_cls: 2.7646, loss: 2.7646 +2025-05-31 08:26:59,349 - pyskl - INFO - Epoch [43][1400/2353] lr: 2.035e-02, eta: 1 day, 6:09:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9769, loss_cls: 2.7306, loss: 2.7306 +2025-05-31 08:27:42,466 - pyskl - INFO - Epoch [43][1500/2353] lr: 2.034e-02, eta: 1 day, 6:08:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9744, loss_cls: 2.8780, loss: 2.8780 +2025-05-31 08:28:25,558 - pyskl - INFO - Epoch [43][1600/2353] lr: 2.033e-02, eta: 1 day, 6:07:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9838, loss_cls: 2.7717, loss: 2.7717 +2025-05-31 08:29:08,690 - pyskl - INFO - Epoch [43][1700/2353] lr: 2.032e-02, eta: 1 day, 6:07:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9812, loss_cls: 2.8201, loss: 2.8201 +2025-05-31 08:29:51,792 - pyskl - INFO - Epoch [43][1800/2353] lr: 2.031e-02, eta: 1 day, 6:06:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9812, loss_cls: 2.7655, loss: 2.7655 +2025-05-31 08:30:34,745 - pyskl - INFO - Epoch [43][1900/2353] lr: 2.030e-02, eta: 1 day, 6:05:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9800, loss_cls: 2.6653, loss: 2.6653 +2025-05-31 08:31:17,677 - pyskl - INFO - Epoch [43][2000/2353] lr: 2.030e-02, eta: 1 day, 6:04:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9794, loss_cls: 2.6845, loss: 2.6845 +2025-05-31 08:32:00,745 - pyskl - INFO - Epoch [43][2100/2353] lr: 2.029e-02, eta: 1 day, 6:04:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9788, loss_cls: 2.7920, loss: 2.7920 +2025-05-31 08:32:43,840 - pyskl - INFO - Epoch [43][2200/2353] lr: 2.028e-02, eta: 1 day, 6:03:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9831, loss_cls: 2.8212, loss: 2.8212 +2025-05-31 08:33:26,792 - pyskl - INFO - Epoch [43][2300/2353] lr: 2.027e-02, eta: 1 day, 6:02:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9806, loss_cls: 2.7335, loss: 2.7335 +2025-05-31 08:33:50,120 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-05-31 08:35:15,865 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 08:35:15,940 - pyskl - INFO - +top1_acc 0.8731 +top5_acc 0.9879 +2025-05-31 08:35:15,943 - pyskl - INFO - Epoch(val) [43][1184] top1_acc: 0.8731, top5_acc: 0.9879 +2025-05-31 08:36:19,553 - pyskl - INFO - Epoch [44][100/2353] lr: 2.026e-02, eta: 1 day, 6:01:35, time: 0.636, data_time: 0.207, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9794, loss_cls: 2.7535, loss: 2.7535 +2025-05-31 08:37:02,713 - pyskl - INFO - Epoch [44][200/2353] lr: 2.025e-02, eta: 1 day, 6:00:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 2.6535, loss: 2.6535 +2025-05-31 08:37:45,797 - pyskl - INFO - Epoch [44][300/2353] lr: 2.024e-02, eta: 1 day, 6:00:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9888, loss_cls: 2.6420, loss: 2.6420 +2025-05-31 08:38:28,869 - pyskl - INFO - Epoch [44][400/2353] lr: 2.023e-02, eta: 1 day, 5:59:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9819, loss_cls: 2.7829, loss: 2.7829 +2025-05-31 08:39:12,017 - pyskl - INFO - Epoch [44][500/2353] lr: 2.022e-02, eta: 1 day, 5:58:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9812, loss_cls: 2.7107, loss: 2.7107 +2025-05-31 08:39:55,093 - pyskl - INFO - Epoch [44][600/2353] lr: 2.021e-02, eta: 1 day, 5:58:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 2.6720, loss: 2.6720 +2025-05-31 08:40:38,021 - pyskl - INFO - Epoch [44][700/2353] lr: 2.020e-02, eta: 1 day, 5:57:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9800, loss_cls: 2.7527, loss: 2.7527 +2025-05-31 08:41:20,954 - pyskl - INFO - Epoch [44][800/2353] lr: 2.019e-02, eta: 1 day, 5:56:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9812, loss_cls: 2.7258, loss: 2.7258 +2025-05-31 08:42:03,942 - pyskl - INFO - Epoch [44][900/2353] lr: 2.019e-02, eta: 1 day, 5:55:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9850, loss_cls: 2.6959, loss: 2.6959 +2025-05-31 08:42:47,173 - pyskl - INFO - Epoch [44][1000/2353] lr: 2.018e-02, eta: 1 day, 5:55:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9875, loss_cls: 2.6755, loss: 2.6755 +2025-05-31 08:43:30,287 - pyskl - INFO - Epoch [44][1100/2353] lr: 2.017e-02, eta: 1 day, 5:54:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9850, loss_cls: 2.7419, loss: 2.7419 +2025-05-31 08:44:13,360 - pyskl - INFO - Epoch [44][1200/2353] lr: 2.016e-02, eta: 1 day, 5:53:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9806, loss_cls: 2.7035, loss: 2.7035 +2025-05-31 08:44:56,332 - pyskl - INFO - Epoch [44][1300/2353] lr: 2.015e-02, eta: 1 day, 5:53:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9762, loss_cls: 2.8195, loss: 2.8195 +2025-05-31 08:45:39,321 - pyskl - INFO - Epoch [44][1400/2353] lr: 2.014e-02, eta: 1 day, 5:52:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9856, loss_cls: 2.6233, loss: 2.6233 +2025-05-31 08:46:22,296 - pyskl - INFO - Epoch [44][1500/2353] lr: 2.013e-02, eta: 1 day, 5:51:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9862, loss_cls: 2.7711, loss: 2.7711 +2025-05-31 08:47:05,352 - pyskl - INFO - Epoch [44][1600/2353] lr: 2.012e-02, eta: 1 day, 5:50:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 2.7797, loss: 2.7797 +2025-05-31 08:47:48,280 - pyskl - INFO - Epoch [44][1700/2353] lr: 2.012e-02, eta: 1 day, 5:50:11, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9788, loss_cls: 2.6802, loss: 2.6802 +2025-05-31 08:48:31,181 - pyskl - INFO - Epoch [44][1800/2353] lr: 2.011e-02, eta: 1 day, 5:49:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9781, loss_cls: 2.7784, loss: 2.7784 +2025-05-31 08:49:14,248 - pyskl - INFO - Epoch [44][1900/2353] lr: 2.010e-02, eta: 1 day, 5:48:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9781, loss_cls: 2.7059, loss: 2.7059 +2025-05-31 08:49:57,235 - pyskl - INFO - Epoch [44][2000/2353] lr: 2.009e-02, eta: 1 day, 5:48:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9838, loss_cls: 2.7235, loss: 2.7235 +2025-05-31 08:50:40,175 - pyskl - INFO - Epoch [44][2100/2353] lr: 2.008e-02, eta: 1 day, 5:47:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 2.7687, loss: 2.7687 +2025-05-31 08:51:23,161 - pyskl - INFO - Epoch [44][2200/2353] lr: 2.007e-02, eta: 1 day, 5:46:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9794, loss_cls: 2.7508, loss: 2.7508 +2025-05-31 08:52:06,177 - pyskl - INFO - Epoch [44][2300/2353] lr: 2.006e-02, eta: 1 day, 5:45:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9806, loss_cls: 2.7265, loss: 2.7265 +2025-05-31 08:52:29,539 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-05-31 08:53:55,483 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 08:53:55,562 - pyskl - INFO - +top1_acc 0.8808 +top5_acc 0.9883 +2025-05-31 08:53:55,566 - pyskl - INFO - Epoch(val) [44][1184] top1_acc: 0.8808, top5_acc: 0.9883 +2025-05-31 08:55:00,111 - pyskl - INFO - Epoch [45][100/2353] lr: 2.005e-02, eta: 1 day, 5:44:46, time: 0.645, data_time: 0.216, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 2.5970, loss: 2.5970 +2025-05-31 08:55:43,120 - pyskl - INFO - Epoch [45][200/2353] lr: 2.004e-02, eta: 1 day, 5:44:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 2.6470, loss: 2.6470 +2025-05-31 08:56:26,050 - pyskl - INFO - Epoch [45][300/2353] lr: 2.003e-02, eta: 1 day, 5:43:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9812, loss_cls: 2.6492, loss: 2.6492 +2025-05-31 08:57:08,977 - pyskl - INFO - Epoch [45][400/2353] lr: 2.002e-02, eta: 1 day, 5:42:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9800, loss_cls: 2.6676, loss: 2.6676 +2025-05-31 08:57:51,838 - pyskl - INFO - Epoch [45][500/2353] lr: 2.001e-02, eta: 1 day, 5:41:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9788, loss_cls: 2.7037, loss: 2.7037 +2025-05-31 08:58:34,731 - pyskl - INFO - Epoch [45][600/2353] lr: 2.000e-02, eta: 1 day, 5:41:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9881, loss_cls: 2.6256, loss: 2.6256 +2025-05-31 08:59:17,712 - pyskl - INFO - Epoch [45][700/2353] lr: 2.000e-02, eta: 1 day, 5:40:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9850, loss_cls: 2.7644, loss: 2.7644 +2025-05-31 09:00:00,615 - pyskl - INFO - Epoch [45][800/2353] lr: 1.999e-02, eta: 1 day, 5:39:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9869, loss_cls: 2.7654, loss: 2.7654 +2025-05-31 09:00:43,641 - pyskl - INFO - Epoch [45][900/2353] lr: 1.998e-02, eta: 1 day, 5:39:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 2.7375, loss: 2.7375 +2025-05-31 09:01:26,620 - pyskl - INFO - Epoch [45][1000/2353] lr: 1.997e-02, eta: 1 day, 5:38:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9788, loss_cls: 2.7041, loss: 2.7041 +2025-05-31 09:02:09,717 - pyskl - INFO - Epoch [45][1100/2353] lr: 1.996e-02, eta: 1 day, 5:37:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9775, loss_cls: 2.7946, loss: 2.7946 +2025-05-31 09:02:52,799 - pyskl - INFO - Epoch [45][1200/2353] lr: 1.995e-02, eta: 1 day, 5:36:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9794, loss_cls: 2.7862, loss: 2.7862 +2025-05-31 09:03:35,958 - pyskl - INFO - Epoch [45][1300/2353] lr: 1.994e-02, eta: 1 day, 5:36:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9781, loss_cls: 2.6610, loss: 2.6610 +2025-05-31 09:04:19,001 - pyskl - INFO - Epoch [45][1400/2353] lr: 1.993e-02, eta: 1 day, 5:35:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 2.5890, loss: 2.5890 +2025-05-31 09:05:01,953 - pyskl - INFO - Epoch [45][1500/2353] lr: 1.992e-02, eta: 1 day, 5:34:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9769, loss_cls: 2.7725, loss: 2.7725 +2025-05-31 09:05:44,878 - pyskl - INFO - Epoch [45][1600/2353] lr: 1.992e-02, eta: 1 day, 5:34:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9788, loss_cls: 2.7859, loss: 2.7859 +2025-05-31 09:06:27,793 - pyskl - INFO - Epoch [45][1700/2353] lr: 1.991e-02, eta: 1 day, 5:33:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 2.7490, loss: 2.7490 +2025-05-31 09:07:10,750 - pyskl - INFO - Epoch [45][1800/2353] lr: 1.990e-02, eta: 1 day, 5:32:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9862, loss_cls: 2.7372, loss: 2.7372 +2025-05-31 09:07:53,723 - pyskl - INFO - Epoch [45][1900/2353] lr: 1.989e-02, eta: 1 day, 5:31:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9781, loss_cls: 2.7388, loss: 2.7388 +2025-05-31 09:08:36,623 - pyskl - INFO - Epoch [45][2000/2353] lr: 1.988e-02, eta: 1 day, 5:31:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9831, loss_cls: 2.5577, loss: 2.5577 +2025-05-31 09:09:19,434 - pyskl - INFO - Epoch [45][2100/2353] lr: 1.987e-02, eta: 1 day, 5:30:27, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9794, loss_cls: 2.8607, loss: 2.8607 +2025-05-31 09:10:02,463 - pyskl - INFO - Epoch [45][2200/2353] lr: 1.986e-02, eta: 1 day, 5:29:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9806, loss_cls: 2.7561, loss: 2.7561 +2025-05-31 09:10:45,406 - pyskl - INFO - Epoch [45][2300/2353] lr: 1.985e-02, eta: 1 day, 5:29:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9806, loss_cls: 2.7212, loss: 2.7212 +2025-05-31 09:11:08,708 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-05-31 09:19:38,238 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 09:19:38,313 - pyskl - INFO - +top1_acc 0.8829 +top5_acc 0.9867 +2025-05-31 09:19:38,316 - pyskl - INFO - Epoch(val) [45][1184] top1_acc: 0.8829, top5_acc: 0.9867 +2025-05-31 09:20:41,948 - pyskl - INFO - Epoch [46][100/2353] lr: 1.984e-02, eta: 1 day, 5:27:51, time: 0.636, data_time: 0.207, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9844, loss_cls: 2.5616, loss: 2.5616 +2025-05-31 09:21:24,893 - pyskl - INFO - Epoch [46][200/2353] lr: 1.983e-02, eta: 1 day, 5:27:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 2.5732, loss: 2.5732 +2025-05-31 09:22:07,817 - pyskl - INFO - Epoch [46][300/2353] lr: 1.982e-02, eta: 1 day, 5:26:25, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9794, loss_cls: 2.8246, loss: 2.8246 +2025-05-31 09:22:50,706 - pyskl - INFO - Epoch [46][400/2353] lr: 1.981e-02, eta: 1 day, 5:25:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9775, loss_cls: 2.7242, loss: 2.7242 +2025-05-31 09:23:33,429 - pyskl - INFO - Epoch [46][500/2353] lr: 1.980e-02, eta: 1 day, 5:24:58, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9888, loss_cls: 2.6155, loss: 2.6155 +2025-05-31 09:24:16,473 - pyskl - INFO - Epoch [46][600/2353] lr: 1.979e-02, eta: 1 day, 5:24:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 2.6572, loss: 2.6572 +2025-05-31 09:24:59,241 - pyskl - INFO - Epoch [46][700/2353] lr: 1.978e-02, eta: 1 day, 5:23:32, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9775, loss_cls: 2.7697, loss: 2.7697 +2025-05-31 09:25:41,930 - pyskl - INFO - Epoch [46][800/2353] lr: 1.978e-02, eta: 1 day, 5:22:49, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9825, loss_cls: 2.7184, loss: 2.7184 +2025-05-31 09:26:24,825 - pyskl - INFO - Epoch [46][900/2353] lr: 1.977e-02, eta: 1 day, 5:22:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9888, loss_cls: 2.5347, loss: 2.5347 +2025-05-31 09:27:07,795 - pyskl - INFO - Epoch [46][1000/2353] lr: 1.976e-02, eta: 1 day, 5:21:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9838, loss_cls: 2.6212, loss: 2.6212 +2025-05-31 09:27:50,762 - pyskl - INFO - Epoch [46][1100/2353] lr: 1.975e-02, eta: 1 day, 5:20:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9831, loss_cls: 2.6922, loss: 2.6922 +2025-05-31 09:28:33,821 - pyskl - INFO - Epoch [46][1200/2353] lr: 1.974e-02, eta: 1 day, 5:19:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9850, loss_cls: 2.7285, loss: 2.7285 +2025-05-31 09:29:16,850 - pyskl - INFO - Epoch [46][1300/2353] lr: 1.973e-02, eta: 1 day, 5:19:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 2.6612, loss: 2.6612 +2025-05-31 09:29:59,804 - pyskl - INFO - Epoch [46][1400/2353] lr: 1.972e-02, eta: 1 day, 5:18:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9806, loss_cls: 2.7194, loss: 2.7194 +2025-05-31 09:30:42,814 - pyskl - INFO - Epoch [46][1500/2353] lr: 1.971e-02, eta: 1 day, 5:17:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9800, loss_cls: 2.6889, loss: 2.6889 +2025-05-31 09:31:25,744 - pyskl - INFO - Epoch [46][1600/2353] lr: 1.970e-02, eta: 1 day, 5:17:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 2.6453, loss: 2.6453 +2025-05-31 09:32:08,675 - pyskl - INFO - Epoch [46][1700/2353] lr: 1.969e-02, eta: 1 day, 5:16:23, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9788, loss_cls: 2.6956, loss: 2.6956 +2025-05-31 09:32:51,783 - pyskl - INFO - Epoch [46][1800/2353] lr: 1.968e-02, eta: 1 day, 5:15:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9762, loss_cls: 2.7573, loss: 2.7573 +2025-05-31 09:33:34,894 - pyskl - INFO - Epoch [46][1900/2353] lr: 1.968e-02, eta: 1 day, 5:14:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9825, loss_cls: 2.8426, loss: 2.8426 +2025-05-31 09:34:17,952 - pyskl - INFO - Epoch [46][2000/2353] lr: 1.967e-02, eta: 1 day, 5:14:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9838, loss_cls: 2.6692, loss: 2.6692 +2025-05-31 09:35:00,958 - pyskl - INFO - Epoch [46][2100/2353] lr: 1.966e-02, eta: 1 day, 5:13:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9769, loss_cls: 2.8067, loss: 2.8067 +2025-05-31 09:35:43,991 - pyskl - INFO - Epoch [46][2200/2353] lr: 1.965e-02, eta: 1 day, 5:12:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9819, loss_cls: 2.7085, loss: 2.7085 +2025-05-31 09:36:26,899 - pyskl - INFO - Epoch [46][2300/2353] lr: 1.964e-02, eta: 1 day, 5:12:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9844, loss_cls: 2.7193, loss: 2.7193 +2025-05-31 09:36:50,167 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-05-31 09:38:15,715 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 09:38:15,794 - pyskl - INFO - +top1_acc 0.8453 +top5_acc 0.9845 +2025-05-31 09:38:15,798 - pyskl - INFO - Epoch(val) [46][1184] top1_acc: 0.8453, top5_acc: 0.9845 +2025-05-31 09:39:20,959 - pyskl - INFO - Epoch [47][100/2353] lr: 1.962e-02, eta: 1 day, 5:10:59, time: 0.652, data_time: 0.216, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 2.6323, loss: 2.6323 +2025-05-31 09:40:04,493 - pyskl - INFO - Epoch [47][200/2353] lr: 1.962e-02, eta: 1 day, 5:10:17, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9894, loss_cls: 2.5345, loss: 2.5345 +2025-05-31 09:40:47,797 - pyskl - INFO - Epoch [47][300/2353] lr: 1.961e-02, eta: 1 day, 5:09:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9825, loss_cls: 2.6428, loss: 2.6428 +2025-05-31 09:41:31,056 - pyskl - INFO - Epoch [47][400/2353] lr: 1.960e-02, eta: 1 day, 5:08:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 2.6230, loss: 2.6230 +2025-05-31 09:42:14,039 - pyskl - INFO - Epoch [47][500/2353] lr: 1.959e-02, eta: 1 day, 5:08:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 2.6800, loss: 2.6800 +2025-05-31 09:42:57,048 - pyskl - INFO - Epoch [47][600/2353] lr: 1.958e-02, eta: 1 day, 5:07:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9856, loss_cls: 2.5698, loss: 2.5698 +2025-05-31 09:43:39,937 - pyskl - INFO - Epoch [47][700/2353] lr: 1.957e-02, eta: 1 day, 5:06:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 2.6406, loss: 2.6406 +2025-05-31 09:44:22,945 - pyskl - INFO - Epoch [47][800/2353] lr: 1.956e-02, eta: 1 day, 5:06:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9838, loss_cls: 2.7181, loss: 2.7181 +2025-05-31 09:45:05,936 - pyskl - INFO - Epoch [47][900/2353] lr: 1.955e-02, eta: 1 day, 5:05:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 2.5384, loss: 2.5384 +2025-05-31 09:45:48,866 - pyskl - INFO - Epoch [47][1000/2353] lr: 1.954e-02, eta: 1 day, 5:04:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9800, loss_cls: 2.5764, loss: 2.5764 +2025-05-31 09:46:31,917 - pyskl - INFO - Epoch [47][1100/2353] lr: 1.953e-02, eta: 1 day, 5:03:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9838, loss_cls: 2.7427, loss: 2.7427 +2025-05-31 09:47:15,205 - pyskl - INFO - Epoch [47][1200/2353] lr: 1.952e-02, eta: 1 day, 5:03:11, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9825, loss_cls: 2.7378, loss: 2.7378 +2025-05-31 09:47:58,277 - pyskl - INFO - Epoch [47][1300/2353] lr: 1.951e-02, eta: 1 day, 5:02:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9869, loss_cls: 2.6057, loss: 2.6057 +2025-05-31 09:48:41,133 - pyskl - INFO - Epoch [47][1400/2353] lr: 1.951e-02, eta: 1 day, 5:01:45, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9819, loss_cls: 2.7270, loss: 2.7270 +2025-05-31 09:49:24,048 - pyskl - INFO - Epoch [47][1500/2353] lr: 1.950e-02, eta: 1 day, 5:01:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 2.6302, loss: 2.6302 +2025-05-31 09:50:06,848 - pyskl - INFO - Epoch [47][1600/2353] lr: 1.949e-02, eta: 1 day, 5:00:18, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9819, loss_cls: 2.6994, loss: 2.6994 +2025-05-31 09:50:49,837 - pyskl - INFO - Epoch [47][1700/2353] lr: 1.948e-02, eta: 1 day, 4:59:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9844, loss_cls: 2.6320, loss: 2.6320 +2025-05-31 09:51:32,858 - pyskl - INFO - Epoch [47][1800/2353] lr: 1.947e-02, eta: 1 day, 4:58:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9819, loss_cls: 2.7077, loss: 2.7077 +2025-05-31 09:52:15,820 - pyskl - INFO - Epoch [47][1900/2353] lr: 1.946e-02, eta: 1 day, 4:58:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9800, loss_cls: 2.7296, loss: 2.7296 +2025-05-31 09:52:58,950 - pyskl - INFO - Epoch [47][2000/2353] lr: 1.945e-02, eta: 1 day, 4:57:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9819, loss_cls: 2.7491, loss: 2.7491 +2025-05-31 09:53:41,882 - pyskl - INFO - Epoch [47][2100/2353] lr: 1.944e-02, eta: 1 day, 4:56:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9781, loss_cls: 2.6724, loss: 2.6724 +2025-05-31 09:54:24,798 - pyskl - INFO - Epoch [47][2200/2353] lr: 1.943e-02, eta: 1 day, 4:56:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9800, loss_cls: 2.8151, loss: 2.8151 +2025-05-31 09:55:07,749 - pyskl - INFO - Epoch [47][2300/2353] lr: 1.942e-02, eta: 1 day, 4:55:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 2.6764, loss: 2.6764 +2025-05-31 09:55:31,107 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-05-31 09:56:56,713 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 09:56:56,791 - pyskl - INFO - +top1_acc 0.8816 +top5_acc 0.9890 +2025-05-31 09:56:56,794 - pyskl - INFO - Epoch(val) [47][1184] top1_acc: 0.8816, top5_acc: 0.9890 +2025-05-31 09:58:00,443 - pyskl - INFO - Epoch [48][100/2353] lr: 1.941e-02, eta: 1 day, 4:54:08, time: 0.636, data_time: 0.206, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9831, loss_cls: 2.6841, loss: 2.6841 +2025-05-31 09:58:43,572 - pyskl - INFO - Epoch [48][200/2353] lr: 1.940e-02, eta: 1 day, 4:53:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9862, loss_cls: 2.6452, loss: 2.6452 +2025-05-31 09:59:26,801 - pyskl - INFO - Epoch [48][300/2353] lr: 1.939e-02, eta: 1 day, 4:52:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9812, loss_cls: 2.6622, loss: 2.6622 +2025-05-31 10:00:09,846 - pyskl - INFO - Epoch [48][400/2353] lr: 1.938e-02, eta: 1 day, 4:52:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9769, loss_cls: 2.6591, loss: 2.6591 +2025-05-31 10:00:52,834 - pyskl - INFO - Epoch [48][500/2353] lr: 1.937e-02, eta: 1 day, 4:51:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9819, loss_cls: 2.5042, loss: 2.5042 +2025-05-31 10:01:35,847 - pyskl - INFO - Epoch [48][600/2353] lr: 1.936e-02, eta: 1 day, 4:50:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9856, loss_cls: 2.5631, loss: 2.5631 +2025-05-31 10:02:18,822 - pyskl - INFO - Epoch [48][700/2353] lr: 1.935e-02, eta: 1 day, 4:49:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 2.5718, loss: 2.5718 +2025-05-31 10:03:01,821 - pyskl - INFO - Epoch [48][800/2353] lr: 1.934e-02, eta: 1 day, 4:49:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9838, loss_cls: 2.6112, loss: 2.6112 +2025-05-31 10:03:44,811 - pyskl - INFO - Epoch [48][900/2353] lr: 1.933e-02, eta: 1 day, 4:48:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9806, loss_cls: 2.6079, loss: 2.6079 +2025-05-31 10:04:27,854 - pyskl - INFO - Epoch [48][1000/2353] lr: 1.932e-02, eta: 1 day, 4:47:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9862, loss_cls: 2.6868, loss: 2.6868 +2025-05-31 10:05:11,063 - pyskl - INFO - Epoch [48][1100/2353] lr: 1.932e-02, eta: 1 day, 4:47:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 2.6891, loss: 2.6891 +2025-05-31 10:05:54,120 - pyskl - INFO - Epoch [48][1200/2353] lr: 1.931e-02, eta: 1 day, 4:46:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9844, loss_cls: 2.6705, loss: 2.6705 +2025-05-31 10:06:37,165 - pyskl - INFO - Epoch [48][1300/2353] lr: 1.930e-02, eta: 1 day, 4:45:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9894, loss_cls: 2.5305, loss: 2.5305 +2025-05-31 10:07:20,132 - pyskl - INFO - Epoch [48][1400/2353] lr: 1.929e-02, eta: 1 day, 4:44:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 2.5984, loss: 2.5984 +2025-05-31 10:08:03,141 - pyskl - INFO - Epoch [48][1500/2353] lr: 1.928e-02, eta: 1 day, 4:44:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9800, loss_cls: 2.7010, loss: 2.7010 +2025-05-31 10:08:46,100 - pyskl - INFO - Epoch [48][1600/2353] lr: 1.927e-02, eta: 1 day, 4:43:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9856, loss_cls: 2.6886, loss: 2.6886 +2025-05-31 10:09:29,084 - pyskl - INFO - Epoch [48][1700/2353] lr: 1.926e-02, eta: 1 day, 4:42:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9912, loss_cls: 2.5324, loss: 2.5324 +2025-05-31 10:10:12,151 - pyskl - INFO - Epoch [48][1800/2353] lr: 1.925e-02, eta: 1 day, 4:42:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9781, loss_cls: 2.8190, loss: 2.8190 +2025-05-31 10:10:55,218 - pyskl - INFO - Epoch [48][1900/2353] lr: 1.924e-02, eta: 1 day, 4:41:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9769, loss_cls: 2.7563, loss: 2.7563 +2025-05-31 10:11:38,200 - pyskl - INFO - Epoch [48][2000/2353] lr: 1.923e-02, eta: 1 day, 4:40:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9812, loss_cls: 2.5965, loss: 2.5965 +2025-05-31 10:12:21,162 - pyskl - INFO - Epoch [48][2100/2353] lr: 1.922e-02, eta: 1 day, 4:39:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9844, loss_cls: 2.7330, loss: 2.7330 +2025-05-31 10:13:04,135 - pyskl - INFO - Epoch [48][2200/2353] lr: 1.921e-02, eta: 1 day, 4:39:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 2.6816, loss: 2.6816 +2025-05-31 10:13:47,136 - pyskl - INFO - Epoch [48][2300/2353] lr: 1.920e-02, eta: 1 day, 4:38:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9906, loss_cls: 2.6350, loss: 2.6350 +2025-05-31 10:14:10,468 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-05-31 10:15:35,949 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 10:15:36,024 - pyskl - INFO - +top1_acc 0.8903 +top5_acc 0.9889 +2025-05-31 10:15:36,027 - pyskl - INFO - Epoch(val) [48][1184] top1_acc: 0.8903, top5_acc: 0.9889 +2025-05-31 10:16:39,097 - pyskl - INFO - Epoch [49][100/2353] lr: 1.919e-02, eta: 1 day, 4:37:16, time: 0.631, data_time: 0.202, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9838, loss_cls: 2.6306, loss: 2.6306 +2025-05-31 10:17:22,055 - pyskl - INFO - Epoch [49][200/2353] lr: 1.918e-02, eta: 1 day, 4:36:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 2.6055, loss: 2.6055 +2025-05-31 10:18:04,920 - pyskl - INFO - Epoch [49][300/2353] lr: 1.917e-02, eta: 1 day, 4:35:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9812, loss_cls: 2.4735, loss: 2.4735 +2025-05-31 10:18:47,868 - pyskl - INFO - Epoch [49][400/2353] lr: 1.916e-02, eta: 1 day, 4:35:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9812, loss_cls: 2.7126, loss: 2.7126 +2025-05-31 10:19:30,803 - pyskl - INFO - Epoch [49][500/2353] lr: 1.915e-02, eta: 1 day, 4:34:24, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9819, loss_cls: 2.6086, loss: 2.6086 +2025-05-31 10:20:13,708 - pyskl - INFO - Epoch [49][600/2353] lr: 1.914e-02, eta: 1 day, 4:33:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9838, loss_cls: 2.5625, loss: 2.5625 +2025-05-31 10:20:56,688 - pyskl - INFO - Epoch [49][700/2353] lr: 1.913e-02, eta: 1 day, 4:32:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9862, loss_cls: 2.5955, loss: 2.5955 +2025-05-31 10:21:39,611 - pyskl - INFO - Epoch [49][800/2353] lr: 1.912e-02, eta: 1 day, 4:32:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 2.6546, loss: 2.6546 +2025-05-31 10:22:22,529 - pyskl - INFO - Epoch [49][900/2353] lr: 1.911e-02, eta: 1 day, 4:31:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 2.6016, loss: 2.6016 +2025-05-31 10:23:05,415 - pyskl - INFO - Epoch [49][1000/2353] lr: 1.910e-02, eta: 1 day, 4:30:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9844, loss_cls: 2.6891, loss: 2.6891 +2025-05-31 10:23:48,305 - pyskl - INFO - Epoch [49][1100/2353] lr: 1.909e-02, eta: 1 day, 4:30:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9856, loss_cls: 2.6795, loss: 2.6795 +2025-05-31 10:24:31,286 - pyskl - INFO - Epoch [49][1200/2353] lr: 1.908e-02, eta: 1 day, 4:29:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9844, loss_cls: 2.6535, loss: 2.6535 +2025-05-31 10:25:14,281 - pyskl - INFO - Epoch [49][1300/2353] lr: 1.908e-02, eta: 1 day, 4:28:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9812, loss_cls: 2.7286, loss: 2.7286 +2025-05-31 10:25:57,295 - pyskl - INFO - Epoch [49][1400/2353] lr: 1.907e-02, eta: 1 day, 4:27:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9812, loss_cls: 2.5786, loss: 2.5786 +2025-05-31 10:26:40,289 - pyskl - INFO - Epoch [49][1500/2353] lr: 1.906e-02, eta: 1 day, 4:27:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9812, loss_cls: 2.6026, loss: 2.6026 +2025-05-31 10:27:23,301 - pyskl - INFO - Epoch [49][1600/2353] lr: 1.905e-02, eta: 1 day, 4:26:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9850, loss_cls: 2.6168, loss: 2.6168 +2025-05-31 10:28:06,305 - pyskl - INFO - Epoch [49][1700/2353] lr: 1.904e-02, eta: 1 day, 4:25:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9838, loss_cls: 2.6038, loss: 2.6038 +2025-05-31 10:28:49,257 - pyskl - INFO - Epoch [49][1800/2353] lr: 1.903e-02, eta: 1 day, 4:25:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 2.6527, loss: 2.6527 +2025-05-31 10:29:32,188 - pyskl - INFO - Epoch [49][1900/2353] lr: 1.902e-02, eta: 1 day, 4:24:23, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9800, loss_cls: 2.7610, loss: 2.7610 +2025-05-31 10:30:15,059 - pyskl - INFO - Epoch [49][2000/2353] lr: 1.901e-02, eta: 1 day, 4:23:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9831, loss_cls: 2.6456, loss: 2.6456 +2025-05-31 10:30:57,963 - pyskl - INFO - Epoch [49][2100/2353] lr: 1.900e-02, eta: 1 day, 4:22:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9825, loss_cls: 2.6667, loss: 2.6667 +2025-05-31 10:31:40,897 - pyskl - INFO - Epoch [49][2200/2353] lr: 1.899e-02, eta: 1 day, 4:22:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9775, loss_cls: 2.7479, loss: 2.7479 +2025-05-31 10:32:23,945 - pyskl - INFO - Epoch [49][2300/2353] lr: 1.898e-02, eta: 1 day, 4:21:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9862, loss_cls: 2.6748, loss: 2.6748 +2025-05-31 10:32:47,227 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-05-31 10:34:12,763 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 10:34:12,838 - pyskl - INFO - +top1_acc 0.8954 +top5_acc 0.9902 +2025-05-31 10:34:12,845 - pyskl - INFO - Epoch(val) [49][1184] top1_acc: 0.8954, top5_acc: 0.9902 +2025-05-31 10:35:16,324 - pyskl - INFO - Epoch [50][100/2353] lr: 1.897e-02, eta: 1 day, 4:20:20, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 2.6317, loss: 2.6317 +2025-05-31 10:35:59,356 - pyskl - INFO - Epoch [50][200/2353] lr: 1.896e-02, eta: 1 day, 4:19:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 2.5711, loss: 2.5711 +2025-05-31 10:36:42,405 - pyskl - INFO - Epoch [50][300/2353] lr: 1.895e-02, eta: 1 day, 4:18:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9894, loss_cls: 2.6138, loss: 2.6138 +2025-05-31 10:37:25,355 - pyskl - INFO - Epoch [50][400/2353] lr: 1.894e-02, eta: 1 day, 4:18:12, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9812, loss_cls: 2.6804, loss: 2.6804 +2025-05-31 10:38:08,457 - pyskl - INFO - Epoch [50][500/2353] lr: 1.893e-02, eta: 1 day, 4:17:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 2.5524, loss: 2.5524 +2025-05-31 10:38:51,485 - pyskl - INFO - Epoch [50][600/2353] lr: 1.892e-02, eta: 1 day, 4:16:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9856, loss_cls: 2.6512, loss: 2.6512 +2025-05-31 10:39:34,497 - pyskl - INFO - Epoch [50][700/2353] lr: 1.891e-02, eta: 1 day, 4:16:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9819, loss_cls: 2.7507, loss: 2.7507 +2025-05-31 10:40:17,573 - pyskl - INFO - Epoch [50][800/2353] lr: 1.890e-02, eta: 1 day, 4:15:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 2.4625, loss: 2.4625 +2025-05-31 10:41:00,624 - pyskl - INFO - Epoch [50][900/2353] lr: 1.889e-02, eta: 1 day, 4:14:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9844, loss_cls: 2.6420, loss: 2.6420 +2025-05-31 10:41:43,685 - pyskl - INFO - Epoch [50][1000/2353] lr: 1.888e-02, eta: 1 day, 4:13:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9819, loss_cls: 2.6426, loss: 2.6426 +2025-05-31 10:42:26,694 - pyskl - INFO - Epoch [50][1100/2353] lr: 1.887e-02, eta: 1 day, 4:13:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9788, loss_cls: 2.6610, loss: 2.6610 +2025-05-31 10:43:09,769 - pyskl - INFO - Epoch [50][1200/2353] lr: 1.886e-02, eta: 1 day, 4:12:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 2.5112, loss: 2.5112 +2025-05-31 10:43:52,800 - pyskl - INFO - Epoch [50][1300/2353] lr: 1.885e-02, eta: 1 day, 4:11:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 2.4880, loss: 2.4880 +2025-05-31 10:44:35,766 - pyskl - INFO - Epoch [50][1400/2353] lr: 1.884e-02, eta: 1 day, 4:11:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9900, loss_cls: 2.5909, loss: 2.5909 +2025-05-31 10:45:18,754 - pyskl - INFO - Epoch [50][1500/2353] lr: 1.883e-02, eta: 1 day, 4:10:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 2.5799, loss: 2.5799 +2025-05-31 10:46:01,725 - pyskl - INFO - Epoch [50][1600/2353] lr: 1.882e-02, eta: 1 day, 4:09:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9762, loss_cls: 2.7657, loss: 2.7657 +2025-05-31 10:46:44,707 - pyskl - INFO - Epoch [50][1700/2353] lr: 1.881e-02, eta: 1 day, 4:08:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9825, loss_cls: 2.6804, loss: 2.6804 +2025-05-31 10:47:27,635 - pyskl - INFO - Epoch [50][1800/2353] lr: 1.880e-02, eta: 1 day, 4:08:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 2.6160, loss: 2.6160 +2025-05-31 10:48:10,542 - pyskl - INFO - Epoch [50][1900/2353] lr: 1.879e-02, eta: 1 day, 4:07:30, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9900, loss_cls: 2.5561, loss: 2.5561 +2025-05-31 10:48:53,538 - pyskl - INFO - Epoch [50][2000/2353] lr: 1.878e-02, eta: 1 day, 4:06:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9825, loss_cls: 2.6906, loss: 2.6906 +2025-05-31 10:49:36,525 - pyskl - INFO - Epoch [50][2100/2353] lr: 1.877e-02, eta: 1 day, 4:06:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9794, loss_cls: 2.6430, loss: 2.6430 +2025-05-31 10:50:19,519 - pyskl - INFO - Epoch [50][2200/2353] lr: 1.876e-02, eta: 1 day, 4:05:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9825, loss_cls: 2.7289, loss: 2.7289 +2025-05-31 10:51:02,497 - pyskl - INFO - Epoch [50][2300/2353] lr: 1.876e-02, eta: 1 day, 4:04:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9819, loss_cls: 2.7173, loss: 2.7173 +2025-05-31 10:51:25,834 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-05-31 11:00:47,107 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 11:00:47,182 - pyskl - INFO - +top1_acc 0.8786 +top5_acc 0.9883 +2025-05-31 11:00:47,186 - pyskl - INFO - Epoch(val) [50][1184] top1_acc: 0.8786, top5_acc: 0.9883 +2025-05-31 11:01:50,877 - pyskl - INFO - Epoch [51][100/2353] lr: 1.874e-02, eta: 1 day, 4:03:29, time: 0.637, data_time: 0.207, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9831, loss_cls: 2.6079, loss: 2.6079 +2025-05-31 11:02:33,880 - pyskl - INFO - Epoch [51][200/2353] lr: 1.873e-02, eta: 1 day, 4:02:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 2.6340, loss: 2.6340 +2025-05-31 11:03:16,727 - pyskl - INFO - Epoch [51][300/2353] lr: 1.872e-02, eta: 1 day, 4:02:03, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9869, loss_cls: 2.5291, loss: 2.5291 +2025-05-31 11:03:59,548 - pyskl - INFO - Epoch [51][400/2353] lr: 1.871e-02, eta: 1 day, 4:01:19, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9856, loss_cls: 2.6240, loss: 2.6240 +2025-05-31 11:04:42,306 - pyskl - INFO - Epoch [51][500/2353] lr: 1.870e-02, eta: 1 day, 4:00:36, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9881, loss_cls: 2.5620, loss: 2.5620 +2025-05-31 11:05:25,145 - pyskl - INFO - Epoch [51][600/2353] lr: 1.869e-02, eta: 1 day, 3:59:53, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 2.5934, loss: 2.5934 +2025-05-31 11:06:07,909 - pyskl - INFO - Epoch [51][700/2353] lr: 1.868e-02, eta: 1 day, 3:59:10, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9844, loss_cls: 2.6574, loss: 2.6574 +2025-05-31 11:06:50,694 - pyskl - INFO - Epoch [51][800/2353] lr: 1.867e-02, eta: 1 day, 3:58:26, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9862, loss_cls: 2.6426, loss: 2.6426 +2025-05-31 11:07:33,559 - pyskl - INFO - Epoch [51][900/2353] lr: 1.866e-02, eta: 1 day, 3:57:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 2.5252, loss: 2.5252 +2025-05-31 11:08:16,370 - pyskl - INFO - Epoch [51][1000/2353] lr: 1.865e-02, eta: 1 day, 3:57:00, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9806, loss_cls: 2.6146, loss: 2.6146 +2025-05-31 11:08:59,257 - pyskl - INFO - Epoch [51][1100/2353] lr: 1.864e-02, eta: 1 day, 3:56:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9856, loss_cls: 2.5254, loss: 2.5254 +2025-05-31 11:09:42,154 - pyskl - INFO - Epoch [51][1200/2353] lr: 1.863e-02, eta: 1 day, 3:55:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 2.5934, loss: 2.5934 +2025-05-31 11:10:25,131 - pyskl - INFO - Epoch [51][1300/2353] lr: 1.862e-02, eta: 1 day, 3:54:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9812, loss_cls: 2.6207, loss: 2.6207 +2025-05-31 11:11:08,105 - pyskl - INFO - Epoch [51][1400/2353] lr: 1.861e-02, eta: 1 day, 3:54:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9894, loss_cls: 2.6045, loss: 2.6045 +2025-05-31 11:11:51,085 - pyskl - INFO - Epoch [51][1500/2353] lr: 1.861e-02, eta: 1 day, 3:53:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9862, loss_cls: 2.5733, loss: 2.5733 +2025-05-31 11:12:34,073 - pyskl - INFO - Epoch [51][1600/2353] lr: 1.860e-02, eta: 1 day, 3:52:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9825, loss_cls: 2.6007, loss: 2.6007 +2025-05-31 11:13:17,037 - pyskl - INFO - Epoch [51][1700/2353] lr: 1.859e-02, eta: 1 day, 3:51:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9794, loss_cls: 2.7407, loss: 2.7407 +2025-05-31 11:13:59,985 - pyskl - INFO - Epoch [51][1800/2353] lr: 1.858e-02, eta: 1 day, 3:51:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9850, loss_cls: 2.6436, loss: 2.6436 +2025-05-31 11:14:42,952 - pyskl - INFO - Epoch [51][1900/2353] lr: 1.857e-02, eta: 1 day, 3:50:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9856, loss_cls: 2.5883, loss: 2.5883 +2025-05-31 11:15:25,882 - pyskl - INFO - Epoch [51][2000/2353] lr: 1.856e-02, eta: 1 day, 3:49:51, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9869, loss_cls: 2.6637, loss: 2.6637 +2025-05-31 11:16:08,703 - pyskl - INFO - Epoch [51][2100/2353] lr: 1.855e-02, eta: 1 day, 3:49:07, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9888, loss_cls: 2.6451, loss: 2.6451 +2025-05-31 11:16:51,692 - pyskl - INFO - Epoch [51][2200/2353] lr: 1.854e-02, eta: 1 day, 3:48:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9775, loss_cls: 2.6234, loss: 2.6234 +2025-05-31 11:17:34,530 - pyskl - INFO - Epoch [51][2300/2353] lr: 1.853e-02, eta: 1 day, 3:47:41, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9812, loss_cls: 2.6338, loss: 2.6338 +2025-05-31 11:17:57,817 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-05-31 11:19:23,374 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 11:19:23,449 - pyskl - INFO - +top1_acc 0.8919 +top5_acc 0.9905 +2025-05-31 11:19:23,453 - pyskl - INFO - Epoch(val) [51][1184] top1_acc: 0.8919, top5_acc: 0.9905 +2025-05-31 11:20:27,141 - pyskl - INFO - Epoch [52][100/2353] lr: 1.851e-02, eta: 1 day, 3:46:32, time: 0.637, data_time: 0.207, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9931, loss_cls: 2.4871, loss: 2.4871 +2025-05-31 11:21:10,280 - pyskl - INFO - Epoch [52][200/2353] lr: 1.850e-02, eta: 1 day, 3:45:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 2.5408, loss: 2.5408 +2025-05-31 11:21:53,430 - pyskl - INFO - Epoch [52][300/2353] lr: 1.849e-02, eta: 1 day, 3:45:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9800, loss_cls: 2.5307, loss: 2.5307 +2025-05-31 11:22:36,480 - pyskl - INFO - Epoch [52][400/2353] lr: 1.848e-02, eta: 1 day, 3:44:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9900, loss_cls: 2.5378, loss: 2.5378 +2025-05-31 11:23:19,522 - pyskl - INFO - Epoch [52][500/2353] lr: 1.847e-02, eta: 1 day, 3:43:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9819, loss_cls: 2.5280, loss: 2.5280 +2025-05-31 11:24:02,420 - pyskl - INFO - Epoch [52][600/2353] lr: 1.846e-02, eta: 1 day, 3:42:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 2.5786, loss: 2.5786 +2025-05-31 11:24:45,343 - pyskl - INFO - Epoch [52][700/2353] lr: 1.845e-02, eta: 1 day, 3:42:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9831, loss_cls: 2.4861, loss: 2.4861 +2025-05-31 11:25:28,320 - pyskl - INFO - Epoch [52][800/2353] lr: 1.844e-02, eta: 1 day, 3:41:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9869, loss_cls: 2.5937, loss: 2.5937 +2025-05-31 11:26:11,269 - pyskl - INFO - Epoch [52][900/2353] lr: 1.843e-02, eta: 1 day, 3:40:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9894, loss_cls: 2.5769, loss: 2.5769 +2025-05-31 11:26:54,212 - pyskl - INFO - Epoch [52][1000/2353] lr: 1.842e-02, eta: 1 day, 3:40:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9850, loss_cls: 2.5666, loss: 2.5666 +2025-05-31 11:27:37,162 - pyskl - INFO - Epoch [52][1100/2353] lr: 1.841e-02, eta: 1 day, 3:39:23, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9869, loss_cls: 2.6684, loss: 2.6684 +2025-05-31 11:28:20,198 - pyskl - INFO - Epoch [52][1200/2353] lr: 1.840e-02, eta: 1 day, 3:38:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9788, loss_cls: 2.6174, loss: 2.6174 +2025-05-31 11:29:03,215 - pyskl - INFO - Epoch [52][1300/2353] lr: 1.839e-02, eta: 1 day, 3:37:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9819, loss_cls: 2.8095, loss: 2.8095 +2025-05-31 11:29:46,256 - pyskl - INFO - Epoch [52][1400/2353] lr: 1.839e-02, eta: 1 day, 3:37:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9856, loss_cls: 2.7197, loss: 2.7197 +2025-05-31 11:30:29,262 - pyskl - INFO - Epoch [52][1500/2353] lr: 1.838e-02, eta: 1 day, 3:36:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 2.6051, loss: 2.6051 +2025-05-31 11:31:12,245 - pyskl - INFO - Epoch [52][1600/2353] lr: 1.837e-02, eta: 1 day, 3:35:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9800, loss_cls: 2.5682, loss: 2.5682 +2025-05-31 11:31:55,201 - pyskl - INFO - Epoch [52][1700/2353] lr: 1.836e-02, eta: 1 day, 3:35:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9781, loss_cls: 2.6271, loss: 2.6271 +2025-05-31 11:32:38,138 - pyskl - INFO - Epoch [52][1800/2353] lr: 1.835e-02, eta: 1 day, 3:34:24, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9875, loss_cls: 2.5506, loss: 2.5506 +2025-05-31 11:33:21,126 - pyskl - INFO - Epoch [52][1900/2353] lr: 1.834e-02, eta: 1 day, 3:33:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9794, loss_cls: 2.6498, loss: 2.6498 +2025-05-31 11:34:04,110 - pyskl - INFO - Epoch [52][2000/2353] lr: 1.833e-02, eta: 1 day, 3:32:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9806, loss_cls: 2.6429, loss: 2.6429 +2025-05-31 11:34:47,052 - pyskl - INFO - Epoch [52][2100/2353] lr: 1.832e-02, eta: 1 day, 3:32:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9819, loss_cls: 2.5159, loss: 2.5159 +2025-05-31 11:35:29,944 - pyskl - INFO - Epoch [52][2200/2353] lr: 1.831e-02, eta: 1 day, 3:31:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 2.5414, loss: 2.5414 +2025-05-31 11:36:12,874 - pyskl - INFO - Epoch [52][2300/2353] lr: 1.830e-02, eta: 1 day, 3:30:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9806, loss_cls: 2.7108, loss: 2.7108 +2025-05-31 11:36:36,187 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-05-31 11:38:02,060 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 11:38:02,135 - pyskl - INFO - +top1_acc 0.8809 +top5_acc 0.9901 +2025-05-31 11:38:02,138 - pyskl - INFO - Epoch(val) [52][1184] top1_acc: 0.8809, top5_acc: 0.9901 +2025-05-31 11:39:06,281 - pyskl - INFO - Epoch [53][100/2353] lr: 1.828e-02, eta: 1 day, 3:29:40, time: 0.641, data_time: 0.207, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 2.4292, loss: 2.4292 +2025-05-31 11:39:49,384 - pyskl - INFO - Epoch [53][200/2353] lr: 1.827e-02, eta: 1 day, 3:28:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9894, loss_cls: 2.5635, loss: 2.5635 +2025-05-31 11:40:32,485 - pyskl - INFO - Epoch [53][300/2353] lr: 1.826e-02, eta: 1 day, 3:28:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9900, loss_cls: 2.4623, loss: 2.4623 +2025-05-31 11:41:15,583 - pyskl - INFO - Epoch [53][400/2353] lr: 1.825e-02, eta: 1 day, 3:27:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 2.5296, loss: 2.5296 +2025-05-31 11:41:58,809 - pyskl - INFO - Epoch [53][500/2353] lr: 1.824e-02, eta: 1 day, 3:26:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 2.5013, loss: 2.5013 +2025-05-31 11:42:41,802 - pyskl - INFO - Epoch [53][600/2353] lr: 1.823e-02, eta: 1 day, 3:26:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 2.4922, loss: 2.4922 +2025-05-31 11:43:24,799 - pyskl - INFO - Epoch [53][700/2353] lr: 1.822e-02, eta: 1 day, 3:25:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9806, loss_cls: 2.6630, loss: 2.6630 +2025-05-31 11:44:07,805 - pyskl - INFO - Epoch [53][800/2353] lr: 1.821e-02, eta: 1 day, 3:24:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9831, loss_cls: 2.6647, loss: 2.6647 +2025-05-31 11:44:50,896 - pyskl - INFO - Epoch [53][900/2353] lr: 1.820e-02, eta: 1 day, 3:23:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9812, loss_cls: 2.6372, loss: 2.6372 +2025-05-31 11:45:33,975 - pyskl - INFO - Epoch [53][1000/2353] lr: 1.819e-02, eta: 1 day, 3:23:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9894, loss_cls: 2.4744, loss: 2.4744 +2025-05-31 11:46:17,168 - pyskl - INFO - Epoch [53][1100/2353] lr: 1.818e-02, eta: 1 day, 3:22:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 2.6244, loss: 2.6244 +2025-05-31 11:47:00,312 - pyskl - INFO - Epoch [53][1200/2353] lr: 1.817e-02, eta: 1 day, 3:21:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9812, loss_cls: 2.6688, loss: 2.6688 +2025-05-31 11:47:43,380 - pyskl - INFO - Epoch [53][1300/2353] lr: 1.816e-02, eta: 1 day, 3:21:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9819, loss_cls: 2.7398, loss: 2.7398 +2025-05-31 11:48:26,612 - pyskl - INFO - Epoch [53][1400/2353] lr: 1.815e-02, eta: 1 day, 3:20:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9831, loss_cls: 2.6242, loss: 2.6242 +2025-05-31 11:49:09,985 - pyskl - INFO - Epoch [53][1500/2353] lr: 1.814e-02, eta: 1 day, 3:19:44, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9881, loss_cls: 2.6114, loss: 2.6114 +2025-05-31 11:49:53,302 - pyskl - INFO - Epoch [53][1600/2353] lr: 1.813e-02, eta: 1 day, 3:19:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9850, loss_cls: 2.5398, loss: 2.5398 +2025-05-31 11:50:36,465 - pyskl - INFO - Epoch [53][1700/2353] lr: 1.812e-02, eta: 1 day, 3:18:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9825, loss_cls: 2.6536, loss: 2.6536 +2025-05-31 11:51:19,699 - pyskl - INFO - Epoch [53][1800/2353] lr: 1.811e-02, eta: 1 day, 3:17:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9781, loss_cls: 2.6531, loss: 2.6531 +2025-05-31 11:52:02,886 - pyskl - INFO - Epoch [53][1900/2353] lr: 1.810e-02, eta: 1 day, 3:16:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9838, loss_cls: 2.5473, loss: 2.5473 +2025-05-31 11:52:46,028 - pyskl - INFO - Epoch [53][2000/2353] lr: 1.809e-02, eta: 1 day, 3:16:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9850, loss_cls: 2.6118, loss: 2.6118 +2025-05-31 11:53:29,094 - pyskl - INFO - Epoch [53][2100/2353] lr: 1.808e-02, eta: 1 day, 3:15:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9825, loss_cls: 2.6232, loss: 2.6232 +2025-05-31 11:54:12,184 - pyskl - INFO - Epoch [53][2200/2353] lr: 1.807e-02, eta: 1 day, 3:14:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9806, loss_cls: 2.6186, loss: 2.6186 +2025-05-31 11:54:55,238 - pyskl - INFO - Epoch [53][2300/2353] lr: 1.806e-02, eta: 1 day, 3:14:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9900, loss_cls: 2.5071, loss: 2.5071 +2025-05-31 11:55:18,614 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-05-31 11:56:44,054 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 11:56:44,129 - pyskl - INFO - +top1_acc 0.8941 +top5_acc 0.9905 +2025-05-31 11:56:44,132 - pyskl - INFO - Epoch(val) [53][1184] top1_acc: 0.8941, top5_acc: 0.9905 +2025-05-31 11:57:47,277 - pyskl - INFO - Epoch [54][100/2353] lr: 1.805e-02, eta: 1 day, 3:12:53, time: 0.631, data_time: 0.199, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 2.4189, loss: 2.4189 +2025-05-31 11:58:30,246 - pyskl - INFO - Epoch [54][200/2353] lr: 1.804e-02, eta: 1 day, 3:12:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 2.4824, loss: 2.4824 +2025-05-31 11:59:13,243 - pyskl - INFO - Epoch [54][300/2353] lr: 1.803e-02, eta: 1 day, 3:11:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 2.5159, loss: 2.5159 +2025-05-31 11:59:56,298 - pyskl - INFO - Epoch [54][400/2353] lr: 1.802e-02, eta: 1 day, 3:10:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 2.4321, loss: 2.4321 +2025-05-31 12:00:39,400 - pyskl - INFO - Epoch [54][500/2353] lr: 1.801e-02, eta: 1 day, 3:10:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9850, loss_cls: 2.5481, loss: 2.5481 +2025-05-31 12:01:22,478 - pyskl - INFO - Epoch [54][600/2353] lr: 1.800e-02, eta: 1 day, 3:09:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9869, loss_cls: 2.5097, loss: 2.5097 +2025-05-31 12:02:05,579 - pyskl - INFO - Epoch [54][700/2353] lr: 1.799e-02, eta: 1 day, 3:08:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9838, loss_cls: 2.5832, loss: 2.5832 +2025-05-31 12:02:48,570 - pyskl - INFO - Epoch [54][800/2353] lr: 1.798e-02, eta: 1 day, 3:07:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 2.5139, loss: 2.5139 +2025-05-31 12:03:31,641 - pyskl - INFO - Epoch [54][900/2353] lr: 1.797e-02, eta: 1 day, 3:07:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9894, loss_cls: 2.5912, loss: 2.5912 +2025-05-31 12:04:14,760 - pyskl - INFO - Epoch [54][1000/2353] lr: 1.796e-02, eta: 1 day, 3:06:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9856, loss_cls: 2.6537, loss: 2.6537 +2025-05-31 12:04:57,672 - pyskl - INFO - Epoch [54][1100/2353] lr: 1.795e-02, eta: 1 day, 3:05:45, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9912, loss_cls: 2.5391, loss: 2.5391 +2025-05-31 12:05:40,700 - pyskl - INFO - Epoch [54][1200/2353] lr: 1.794e-02, eta: 1 day, 3:05:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9900, loss_cls: 2.6997, loss: 2.6997 +2025-05-31 12:06:23,797 - pyskl - INFO - Epoch [54][1300/2353] lr: 1.793e-02, eta: 1 day, 3:04:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 2.6756, loss: 2.6756 +2025-05-31 12:07:06,825 - pyskl - INFO - Epoch [54][1400/2353] lr: 1.792e-02, eta: 1 day, 3:03:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9856, loss_cls: 2.5411, loss: 2.5411 +2025-05-31 12:07:49,735 - pyskl - INFO - Epoch [54][1500/2353] lr: 1.791e-02, eta: 1 day, 3:02:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9838, loss_cls: 2.6238, loss: 2.6238 +2025-05-31 12:08:32,694 - pyskl - INFO - Epoch [54][1600/2353] lr: 1.790e-02, eta: 1 day, 3:02:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9788, loss_cls: 2.6138, loss: 2.6138 +2025-05-31 12:09:15,754 - pyskl - INFO - Epoch [54][1700/2353] lr: 1.789e-02, eta: 1 day, 3:01:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9819, loss_cls: 2.5611, loss: 2.5611 +2025-05-31 12:09:58,849 - pyskl - INFO - Epoch [54][1800/2353] lr: 1.788e-02, eta: 1 day, 3:00:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 2.6583, loss: 2.6583 +2025-05-31 12:10:41,826 - pyskl - INFO - Epoch [54][1900/2353] lr: 1.787e-02, eta: 1 day, 3:00:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9869, loss_cls: 2.5306, loss: 2.5306 +2025-05-31 12:11:24,723 - pyskl - INFO - Epoch [54][2000/2353] lr: 1.786e-02, eta: 1 day, 2:59:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 2.5422, loss: 2.5422 +2025-05-31 12:12:07,637 - pyskl - INFO - Epoch [54][2100/2353] lr: 1.785e-02, eta: 1 day, 2:58:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9819, loss_cls: 2.6968, loss: 2.6968 +2025-05-31 12:12:50,541 - pyskl - INFO - Epoch [54][2200/2353] lr: 1.784e-02, eta: 1 day, 2:57:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9825, loss_cls: 2.5924, loss: 2.5924 +2025-05-31 12:13:33,461 - pyskl - INFO - Epoch [54][2300/2353] lr: 1.783e-02, eta: 1 day, 2:57:11, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9781, loss_cls: 2.6100, loss: 2.6100 +2025-05-31 12:13:56,778 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-05-31 12:15:22,374 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 12:15:22,449 - pyskl - INFO - +top1_acc 0.8803 +top5_acc 0.9882 +2025-05-31 12:15:22,452 - pyskl - INFO - Epoch(val) [54][1184] top1_acc: 0.8803, top5_acc: 0.9882 +2025-05-31 12:16:25,931 - pyskl - INFO - Epoch [55][100/2353] lr: 1.781e-02, eta: 1 day, 2:56:01, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9819, loss_cls: 2.6087, loss: 2.6087 +2025-05-31 12:17:08,793 - pyskl - INFO - Epoch [55][200/2353] lr: 1.780e-02, eta: 1 day, 2:55:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9850, loss_cls: 2.4688, loss: 2.4688 +2025-05-31 12:17:51,865 - pyskl - INFO - Epoch [55][300/2353] lr: 1.779e-02, eta: 1 day, 2:54:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9825, loss_cls: 2.5448, loss: 2.5448 +2025-05-31 12:18:34,947 - pyskl - INFO - Epoch [55][400/2353] lr: 1.778e-02, eta: 1 day, 2:53:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9794, loss_cls: 2.5860, loss: 2.5860 +2025-05-31 12:19:18,038 - pyskl - INFO - Epoch [55][500/2353] lr: 1.777e-02, eta: 1 day, 2:53:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9831, loss_cls: 2.5486, loss: 2.5486 +2025-05-31 12:20:01,170 - pyskl - INFO - Epoch [55][600/2353] lr: 1.776e-02, eta: 1 day, 2:52:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9825, loss_cls: 2.5879, loss: 2.5879 +2025-05-31 12:20:44,131 - pyskl - INFO - Epoch [55][700/2353] lr: 1.775e-02, eta: 1 day, 2:51:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9844, loss_cls: 2.4450, loss: 2.4450 +2025-05-31 12:21:27,129 - pyskl - INFO - Epoch [55][800/2353] lr: 1.774e-02, eta: 1 day, 2:51:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9831, loss_cls: 2.5738, loss: 2.5738 +2025-05-31 12:22:10,161 - pyskl - INFO - Epoch [55][900/2353] lr: 1.773e-02, eta: 1 day, 2:50:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9819, loss_cls: 2.5873, loss: 2.5873 +2025-05-31 12:22:53,229 - pyskl - INFO - Epoch [55][1000/2353] lr: 1.772e-02, eta: 1 day, 2:49:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9894, loss_cls: 2.4791, loss: 2.4791 +2025-05-31 12:23:36,169 - pyskl - INFO - Epoch [55][1100/2353] lr: 1.771e-02, eta: 1 day, 2:48:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 2.5016, loss: 2.5016 +2025-05-31 12:24:19,434 - pyskl - INFO - Epoch [55][1200/2353] lr: 1.770e-02, eta: 1 day, 2:48:10, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9888, loss_cls: 2.5163, loss: 2.5163 +2025-05-31 12:25:02,666 - pyskl - INFO - Epoch [55][1300/2353] lr: 1.769e-02, eta: 1 day, 2:47:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9862, loss_cls: 2.6092, loss: 2.6092 +2025-05-31 12:25:45,816 - pyskl - INFO - Epoch [55][1400/2353] lr: 1.768e-02, eta: 1 day, 2:46:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 2.5732, loss: 2.5732 +2025-05-31 12:26:29,058 - pyskl - INFO - Epoch [55][1500/2353] lr: 1.767e-02, eta: 1 day, 2:46:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9888, loss_cls: 2.4973, loss: 2.4973 +2025-05-31 12:27:12,053 - pyskl - INFO - Epoch [55][1600/2353] lr: 1.766e-02, eta: 1 day, 2:45:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 2.4775, loss: 2.4775 +2025-05-31 12:27:55,214 - pyskl - INFO - Epoch [55][1700/2353] lr: 1.765e-02, eta: 1 day, 2:44:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 2.6401, loss: 2.6401 +2025-05-31 12:28:38,537 - pyskl - INFO - Epoch [55][1800/2353] lr: 1.764e-02, eta: 1 day, 2:43:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 2.5945, loss: 2.5945 +2025-05-31 12:29:21,711 - pyskl - INFO - Epoch [55][1900/2353] lr: 1.763e-02, eta: 1 day, 2:43:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 2.6201, loss: 2.6201 +2025-05-31 12:30:04,751 - pyskl - INFO - Epoch [55][2000/2353] lr: 1.762e-02, eta: 1 day, 2:42:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9881, loss_cls: 2.4880, loss: 2.4880 +2025-05-31 12:30:47,740 - pyskl - INFO - Epoch [55][2100/2353] lr: 1.761e-02, eta: 1 day, 2:41:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9819, loss_cls: 2.5066, loss: 2.5066 +2025-05-31 12:31:30,590 - pyskl - INFO - Epoch [55][2200/2353] lr: 1.760e-02, eta: 1 day, 2:41:04, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 2.4956, loss: 2.4956 +2025-05-31 12:32:13,731 - pyskl - INFO - Epoch [55][2300/2353] lr: 1.759e-02, eta: 1 day, 2:40:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 2.5100, loss: 2.5100 +2025-05-31 12:32:37,148 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-05-31 12:41:18,233 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 12:41:18,309 - pyskl - INFO - +top1_acc 0.8913 +top5_acc 0.9905 +2025-05-31 12:41:18,312 - pyskl - INFO - Epoch(val) [55][1184] top1_acc: 0.8913, top5_acc: 0.9905 +2025-05-31 12:42:21,577 - pyskl - INFO - Epoch [56][100/2353] lr: 1.757e-02, eta: 1 day, 2:39:11, time: 0.633, data_time: 0.202, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 2.5532, loss: 2.5532 +2025-05-31 12:43:04,616 - pyskl - INFO - Epoch [56][200/2353] lr: 1.756e-02, eta: 1 day, 2:38:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9850, loss_cls: 2.4419, loss: 2.4419 +2025-05-31 12:43:47,555 - pyskl - INFO - Epoch [56][300/2353] lr: 1.755e-02, eta: 1 day, 2:37:46, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9831, loss_cls: 2.5122, loss: 2.5122 +2025-05-31 12:44:30,477 - pyskl - INFO - Epoch [56][400/2353] lr: 1.754e-02, eta: 1 day, 2:37:03, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9894, loss_cls: 2.5120, loss: 2.5120 +2025-05-31 12:45:13,560 - pyskl - INFO - Epoch [56][500/2353] lr: 1.753e-02, eta: 1 day, 2:36:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9825, loss_cls: 2.5143, loss: 2.5143 +2025-05-31 12:45:56,532 - pyskl - INFO - Epoch [56][600/2353] lr: 1.752e-02, eta: 1 day, 2:35:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9775, loss_cls: 2.6460, loss: 2.6460 +2025-05-31 12:46:39,369 - pyskl - INFO - Epoch [56][700/2353] lr: 1.751e-02, eta: 1 day, 2:34:54, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9819, loss_cls: 2.5760, loss: 2.5760 +2025-05-31 12:47:22,312 - pyskl - INFO - Epoch [56][800/2353] lr: 1.750e-02, eta: 1 day, 2:34:11, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9819, loss_cls: 2.6667, loss: 2.6667 +2025-05-31 12:48:05,221 - pyskl - INFO - Epoch [56][900/2353] lr: 1.749e-02, eta: 1 day, 2:33:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9888, loss_cls: 2.5162, loss: 2.5162 +2025-05-31 12:48:48,248 - pyskl - INFO - Epoch [56][1000/2353] lr: 1.748e-02, eta: 1 day, 2:32:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9838, loss_cls: 2.5811, loss: 2.5811 +2025-05-31 12:49:31,266 - pyskl - INFO - Epoch [56][1100/2353] lr: 1.747e-02, eta: 1 day, 2:32:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 2.5004, loss: 2.5004 +2025-05-31 12:50:14,136 - pyskl - INFO - Epoch [56][1200/2353] lr: 1.746e-02, eta: 1 day, 2:31:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9856, loss_cls: 2.5846, loss: 2.5846 +2025-05-31 12:50:57,007 - pyskl - INFO - Epoch [56][1300/2353] lr: 1.745e-02, eta: 1 day, 2:30:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9862, loss_cls: 2.5908, loss: 2.5908 +2025-05-31 12:51:39,978 - pyskl - INFO - Epoch [56][1400/2353] lr: 1.744e-02, eta: 1 day, 2:29:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9912, loss_cls: 2.5191, loss: 2.5191 +2025-05-31 12:52:23,094 - pyskl - INFO - Epoch [56][1500/2353] lr: 1.743e-02, eta: 1 day, 2:29:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9825, loss_cls: 2.4661, loss: 2.4661 +2025-05-31 12:53:06,134 - pyskl - INFO - Epoch [56][1600/2353] lr: 1.742e-02, eta: 1 day, 2:28:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 2.5075, loss: 2.5075 +2025-05-31 12:53:49,082 - pyskl - INFO - Epoch [56][1700/2353] lr: 1.741e-02, eta: 1 day, 2:27:45, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 2.4790, loss: 2.4790 +2025-05-31 12:54:32,073 - pyskl - INFO - Epoch [56][1800/2353] lr: 1.740e-02, eta: 1 day, 2:27:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9875, loss_cls: 2.5445, loss: 2.5445 +2025-05-31 12:55:14,945 - pyskl - INFO - Epoch [56][1900/2353] lr: 1.739e-02, eta: 1 day, 2:26:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9794, loss_cls: 2.5840, loss: 2.5840 +2025-05-31 12:55:57,889 - pyskl - INFO - Epoch [56][2000/2353] lr: 1.738e-02, eta: 1 day, 2:25:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9888, loss_cls: 2.5101, loss: 2.5101 +2025-05-31 12:56:40,746 - pyskl - INFO - Epoch [56][2100/2353] lr: 1.737e-02, eta: 1 day, 2:24:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9838, loss_cls: 2.5328, loss: 2.5328 +2025-05-31 12:57:23,665 - pyskl - INFO - Epoch [56][2200/2353] lr: 1.736e-02, eta: 1 day, 2:24:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 2.5750, loss: 2.5750 +2025-05-31 12:58:06,588 - pyskl - INFO - Epoch [56][2300/2353] lr: 1.735e-02, eta: 1 day, 2:23:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 2.6087, loss: 2.6087 +2025-05-31 12:58:29,912 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-05-31 12:59:55,245 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 12:59:55,320 - pyskl - INFO - +top1_acc 0.8909 +top5_acc 0.9892 +2025-05-31 12:59:55,323 - pyskl - INFO - Epoch(val) [56][1184] top1_acc: 0.8909, top5_acc: 0.9892 +2025-05-31 13:00:59,040 - pyskl - INFO - Epoch [57][100/2353] lr: 1.733e-02, eta: 1 day, 2:22:18, time: 0.637, data_time: 0.205, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9825, loss_cls: 2.4989, loss: 2.4989 +2025-05-31 13:01:42,010 - pyskl - INFO - Epoch [57][200/2353] lr: 1.732e-02, eta: 1 day, 2:21:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9856, loss_cls: 2.4280, loss: 2.4280 +2025-05-31 13:02:25,136 - pyskl - INFO - Epoch [57][300/2353] lr: 1.731e-02, eta: 1 day, 2:20:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9825, loss_cls: 2.5717, loss: 2.5717 +2025-05-31 13:03:08,141 - pyskl - INFO - Epoch [57][400/2353] lr: 1.730e-02, eta: 1 day, 2:20:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9850, loss_cls: 2.4930, loss: 2.4930 +2025-05-31 13:03:51,082 - pyskl - INFO - Epoch [57][500/2353] lr: 1.729e-02, eta: 1 day, 2:19:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 2.5100, loss: 2.5100 +2025-05-31 13:04:34,068 - pyskl - INFO - Epoch [57][600/2353] lr: 1.728e-02, eta: 1 day, 2:18:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9888, loss_cls: 2.4971, loss: 2.4971 +2025-05-31 13:05:17,054 - pyskl - INFO - Epoch [57][700/2353] lr: 1.727e-02, eta: 1 day, 2:18:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9838, loss_cls: 2.6070, loss: 2.6070 +2025-05-31 13:06:00,024 - pyskl - INFO - Epoch [57][800/2353] lr: 1.726e-02, eta: 1 day, 2:17:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9831, loss_cls: 2.4713, loss: 2.4713 +2025-05-31 13:06:42,965 - pyskl - INFO - Epoch [57][900/2353] lr: 1.725e-02, eta: 1 day, 2:16:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9812, loss_cls: 2.5760, loss: 2.5760 +2025-05-31 13:07:26,024 - pyskl - INFO - Epoch [57][1000/2353] lr: 1.724e-02, eta: 1 day, 2:15:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9850, loss_cls: 2.5810, loss: 2.5810 +2025-05-31 13:08:08,872 - pyskl - INFO - Epoch [57][1100/2353] lr: 1.723e-02, eta: 1 day, 2:15:09, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9825, loss_cls: 2.5024, loss: 2.5024 +2025-05-31 13:08:51,848 - pyskl - INFO - Epoch [57][1200/2353] lr: 1.722e-02, eta: 1 day, 2:14:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9869, loss_cls: 2.4223, loss: 2.4223 +2025-05-31 13:09:34,906 - pyskl - INFO - Epoch [57][1300/2353] lr: 1.721e-02, eta: 1 day, 2:13:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9912, loss_cls: 2.5966, loss: 2.5966 +2025-05-31 13:10:17,912 - pyskl - INFO - Epoch [57][1400/2353] lr: 1.720e-02, eta: 1 day, 2:13:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9875, loss_cls: 2.7152, loss: 2.7152 +2025-05-31 13:11:00,917 - pyskl - INFO - Epoch [57][1500/2353] lr: 1.719e-02, eta: 1 day, 2:12:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 2.5107, loss: 2.5107 +2025-05-31 13:11:43,893 - pyskl - INFO - Epoch [57][1600/2353] lr: 1.718e-02, eta: 1 day, 2:11:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9881, loss_cls: 2.4548, loss: 2.4548 +2025-05-31 13:12:26,812 - pyskl - INFO - Epoch [57][1700/2353] lr: 1.717e-02, eta: 1 day, 2:10:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9869, loss_cls: 2.4842, loss: 2.4842 +2025-05-31 13:13:09,745 - pyskl - INFO - Epoch [57][1800/2353] lr: 1.716e-02, eta: 1 day, 2:10:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9825, loss_cls: 2.4979, loss: 2.4979 +2025-05-31 13:13:52,799 - pyskl - INFO - Epoch [57][1900/2353] lr: 1.715e-02, eta: 1 day, 2:09:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9862, loss_cls: 2.5477, loss: 2.5477 +2025-05-31 13:14:35,822 - pyskl - INFO - Epoch [57][2000/2353] lr: 1.714e-02, eta: 1 day, 2:08:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 2.5275, loss: 2.5275 +2025-05-31 13:15:18,765 - pyskl - INFO - Epoch [57][2100/2353] lr: 1.713e-02, eta: 1 day, 2:08:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9856, loss_cls: 2.5583, loss: 2.5583 +2025-05-31 13:16:01,774 - pyskl - INFO - Epoch [57][2200/2353] lr: 1.712e-02, eta: 1 day, 2:07:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9844, loss_cls: 2.5685, loss: 2.5685 +2025-05-31 13:16:44,761 - pyskl - INFO - Epoch [57][2300/2353] lr: 1.711e-02, eta: 1 day, 2:06:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9812, loss_cls: 2.5158, loss: 2.5158 +2025-05-31 13:17:08,227 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-05-31 13:18:33,516 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 13:18:33,591 - pyskl - INFO - +top1_acc 0.8935 +top5_acc 0.9909 +2025-05-31 13:18:33,594 - pyskl - INFO - Epoch(val) [57][1184] top1_acc: 0.8935, top5_acc: 0.9909 +2025-05-31 13:19:37,594 - pyskl - INFO - Epoch [58][100/2353] lr: 1.709e-02, eta: 1 day, 2:05:26, time: 0.640, data_time: 0.205, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9912, loss_cls: 2.4753, loss: 2.4753 +2025-05-31 13:20:20,965 - pyskl - INFO - Epoch [58][200/2353] lr: 1.708e-02, eta: 1 day, 2:04:44, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 2.4344, loss: 2.4344 +2025-05-31 13:21:04,032 - pyskl - INFO - Epoch [58][300/2353] lr: 1.707e-02, eta: 1 day, 2:04:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 2.4225, loss: 2.4225 +2025-05-31 13:21:47,037 - pyskl - INFO - Epoch [58][400/2353] lr: 1.706e-02, eta: 1 day, 2:03:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 2.4383, loss: 2.4383 +2025-05-31 13:22:30,119 - pyskl - INFO - Epoch [58][500/2353] lr: 1.705e-02, eta: 1 day, 2:02:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9900, loss_cls: 2.4361, loss: 2.4361 +2025-05-31 13:23:13,081 - pyskl - INFO - Epoch [58][600/2353] lr: 1.704e-02, eta: 1 day, 2:01:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9869, loss_cls: 2.5391, loss: 2.5391 +2025-05-31 13:23:55,998 - pyskl - INFO - Epoch [58][700/2353] lr: 1.703e-02, eta: 1 day, 2:01:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 2.5343, loss: 2.5343 +2025-05-31 13:24:38,930 - pyskl - INFO - Epoch [58][800/2353] lr: 1.702e-02, eta: 1 day, 2:00:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9856, loss_cls: 2.4917, loss: 2.4917 +2025-05-31 13:25:21,810 - pyskl - INFO - Epoch [58][900/2353] lr: 1.701e-02, eta: 1 day, 1:59:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 2.4954, loss: 2.4954 +2025-05-31 13:26:04,684 - pyskl - INFO - Epoch [58][1000/2353] lr: 1.700e-02, eta: 1 day, 1:59:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9888, loss_cls: 2.5616, loss: 2.5616 +2025-05-31 13:26:47,574 - pyskl - INFO - Epoch [58][1100/2353] lr: 1.699e-02, eta: 1 day, 1:58:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 2.3757, loss: 2.3757 +2025-05-31 13:27:30,468 - pyskl - INFO - Epoch [58][1200/2353] lr: 1.698e-02, eta: 1 day, 1:57:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9800, loss_cls: 2.4967, loss: 2.4967 +2025-05-31 13:28:13,542 - pyskl - INFO - Epoch [58][1300/2353] lr: 1.697e-02, eta: 1 day, 1:56:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9788, loss_cls: 2.5154, loss: 2.5154 +2025-05-31 13:28:56,544 - pyskl - INFO - Epoch [58][1400/2353] lr: 1.696e-02, eta: 1 day, 1:56:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9881, loss_cls: 2.4709, loss: 2.4709 +2025-05-31 13:29:39,528 - pyskl - INFO - Epoch [58][1500/2353] lr: 1.695e-02, eta: 1 day, 1:55:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9806, loss_cls: 2.5689, loss: 2.5689 +2025-05-31 13:30:22,664 - pyskl - INFO - Epoch [58][1600/2353] lr: 1.694e-02, eta: 1 day, 1:54:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9869, loss_cls: 2.4598, loss: 2.4598 +2025-05-31 13:31:05,597 - pyskl - INFO - Epoch [58][1700/2353] lr: 1.693e-02, eta: 1 day, 1:54:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 2.6087, loss: 2.6087 +2025-05-31 13:31:48,499 - pyskl - INFO - Epoch [58][1800/2353] lr: 1.691e-02, eta: 1 day, 1:53:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9812, loss_cls: 2.7177, loss: 2.7177 +2025-05-31 13:32:31,364 - pyskl - INFO - Epoch [58][1900/2353] lr: 1.690e-02, eta: 1 day, 1:52:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9825, loss_cls: 2.5533, loss: 2.5533 +2025-05-31 13:33:14,162 - pyskl - INFO - Epoch [58][2000/2353] lr: 1.689e-02, eta: 1 day, 1:51:52, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9794, loss_cls: 2.6463, loss: 2.6463 +2025-05-31 13:33:57,116 - pyskl - INFO - Epoch [58][2100/2353] lr: 1.688e-02, eta: 1 day, 1:51:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9875, loss_cls: 2.5130, loss: 2.5130 +2025-05-31 13:34:39,971 - pyskl - INFO - Epoch [58][2200/2353] lr: 1.687e-02, eta: 1 day, 1:50:25, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9862, loss_cls: 2.4487, loss: 2.4487 +2025-05-31 13:35:22,802 - pyskl - INFO - Epoch [58][2300/2353] lr: 1.686e-02, eta: 1 day, 1:49:42, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9825, loss_cls: 2.5776, loss: 2.5776 +2025-05-31 13:35:46,078 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-05-31 13:37:11,611 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 13:37:11,688 - pyskl - INFO - +top1_acc 0.8772 +top5_acc 0.9894 +2025-05-31 13:37:11,691 - pyskl - INFO - Epoch(val) [58][1184] top1_acc: 0.8772, top5_acc: 0.9894 +2025-05-31 13:38:14,889 - pyskl - INFO - Epoch [59][100/2353] lr: 1.685e-02, eta: 1 day, 1:48:33, time: 0.632, data_time: 0.202, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9900, loss_cls: 2.4117, loss: 2.4117 +2025-05-31 13:38:57,913 - pyskl - INFO - Epoch [59][200/2353] lr: 1.684e-02, eta: 1 day, 1:47:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9838, loss_cls: 2.4382, loss: 2.4382 +2025-05-31 13:39:40,836 - pyskl - INFO - Epoch [59][300/2353] lr: 1.683e-02, eta: 1 day, 1:47:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 2.4086, loss: 2.4086 +2025-05-31 13:40:23,846 - pyskl - INFO - Epoch [59][400/2353] lr: 1.682e-02, eta: 1 day, 1:46:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9938, loss_cls: 2.3050, loss: 2.3050 +2025-05-31 13:41:06,813 - pyskl - INFO - Epoch [59][500/2353] lr: 1.681e-02, eta: 1 day, 1:45:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9825, loss_cls: 2.5693, loss: 2.5693 +2025-05-31 13:41:49,731 - pyskl - INFO - Epoch [59][600/2353] lr: 1.679e-02, eta: 1 day, 1:44:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9831, loss_cls: 2.4862, loss: 2.4862 +2025-05-31 13:42:32,680 - pyskl - INFO - Epoch [59][700/2353] lr: 1.678e-02, eta: 1 day, 1:44:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9831, loss_cls: 2.5903, loss: 2.5903 +2025-05-31 13:43:15,724 - pyskl - INFO - Epoch [59][800/2353] lr: 1.677e-02, eta: 1 day, 1:43:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9850, loss_cls: 2.4484, loss: 2.4484 +2025-05-31 13:43:58,706 - pyskl - INFO - Epoch [59][900/2353] lr: 1.676e-02, eta: 1 day, 1:42:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 2.4703, loss: 2.4703 +2025-05-31 13:44:41,701 - pyskl - INFO - Epoch [59][1000/2353] lr: 1.675e-02, eta: 1 day, 1:42:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9869, loss_cls: 2.5036, loss: 2.5036 +2025-05-31 13:45:24,641 - pyskl - INFO - Epoch [59][1100/2353] lr: 1.674e-02, eta: 1 day, 1:41:24, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9844, loss_cls: 2.4853, loss: 2.4853 +2025-05-31 13:46:07,703 - pyskl - INFO - Epoch [59][1200/2353] lr: 1.673e-02, eta: 1 day, 1:40:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9862, loss_cls: 2.5518, loss: 2.5518 +2025-05-31 13:46:50,718 - pyskl - INFO - Epoch [59][1300/2353] lr: 1.672e-02, eta: 1 day, 1:39:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 2.5138, loss: 2.5138 +2025-05-31 13:47:33,818 - pyskl - INFO - Epoch [59][1400/2353] lr: 1.671e-02, eta: 1 day, 1:39:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 2.5155, loss: 2.5155 +2025-05-31 13:48:16,930 - pyskl - INFO - Epoch [59][1500/2353] lr: 1.670e-02, eta: 1 day, 1:38:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9806, loss_cls: 2.5549, loss: 2.5549 +2025-05-31 13:49:00,092 - pyskl - INFO - Epoch [59][1600/2353] lr: 1.669e-02, eta: 1 day, 1:37:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9862, loss_cls: 2.5478, loss: 2.5478 +2025-05-31 13:49:43,115 - pyskl - INFO - Epoch [59][1700/2353] lr: 1.668e-02, eta: 1 day, 1:37:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 2.5337, loss: 2.5337 +2025-05-31 13:50:26,098 - pyskl - INFO - Epoch [59][1800/2353] lr: 1.667e-02, eta: 1 day, 1:36:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9888, loss_cls: 2.4357, loss: 2.4357 +2025-05-31 13:51:09,130 - pyskl - INFO - Epoch [59][1900/2353] lr: 1.666e-02, eta: 1 day, 1:35:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9806, loss_cls: 2.5714, loss: 2.5714 +2025-05-31 13:51:52,296 - pyskl - INFO - Epoch [59][2000/2353] lr: 1.665e-02, eta: 1 day, 1:34:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9881, loss_cls: 2.4667, loss: 2.4667 +2025-05-31 13:52:35,540 - pyskl - INFO - Epoch [59][2100/2353] lr: 1.664e-02, eta: 1 day, 1:34:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9856, loss_cls: 2.4706, loss: 2.4706 +2025-05-31 13:53:18,761 - pyskl - INFO - Epoch [59][2200/2353] lr: 1.663e-02, eta: 1 day, 1:33:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 2.3439, loss: 2.3439 +2025-05-31 13:54:01,790 - pyskl - INFO - Epoch [59][2300/2353] lr: 1.662e-02, eta: 1 day, 1:32:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 2.5278, loss: 2.5278 +2025-05-31 13:54:25,166 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-05-31 13:55:50,625 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 13:55:50,699 - pyskl - INFO - +top1_acc 0.8837 +top5_acc 0.9885 +2025-05-31 13:55:50,702 - pyskl - INFO - Epoch(val) [59][1184] top1_acc: 0.8837, top5_acc: 0.9885 +2025-05-31 13:56:54,457 - pyskl - INFO - Epoch [60][100/2353] lr: 1.660e-02, eta: 1 day, 1:31:43, time: 0.637, data_time: 0.203, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 2.4771, loss: 2.4771 +2025-05-31 13:57:37,723 - pyskl - INFO - Epoch [60][200/2353] lr: 1.659e-02, eta: 1 day, 1:31:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 2.5248, loss: 2.5248 +2025-05-31 13:58:20,905 - pyskl - INFO - Epoch [60][300/2353] lr: 1.658e-02, eta: 1 day, 1:30:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 2.4617, loss: 2.4617 +2025-05-31 13:59:03,959 - pyskl - INFO - Epoch [60][400/2353] lr: 1.657e-02, eta: 1 day, 1:29:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9906, loss_cls: 2.4117, loss: 2.4117 +2025-05-31 13:59:46,969 - pyskl - INFO - Epoch [60][500/2353] lr: 1.656e-02, eta: 1 day, 1:28:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 2.4678, loss: 2.4678 +2025-05-31 14:00:29,990 - pyskl - INFO - Epoch [60][600/2353] lr: 1.655e-02, eta: 1 day, 1:28:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 2.4525, loss: 2.4525 +2025-05-31 14:01:13,050 - pyskl - INFO - Epoch [60][700/2353] lr: 1.654e-02, eta: 1 day, 1:27:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9888, loss_cls: 2.4883, loss: 2.4883 +2025-05-31 14:01:56,201 - pyskl - INFO - Epoch [60][800/2353] lr: 1.653e-02, eta: 1 day, 1:26:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9831, loss_cls: 2.5937, loss: 2.5937 +2025-05-31 14:02:39,274 - pyskl - INFO - Epoch [60][900/2353] lr: 1.652e-02, eta: 1 day, 1:26:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9856, loss_cls: 2.4084, loss: 2.4084 +2025-05-31 14:03:22,364 - pyskl - INFO - Epoch [60][1000/2353] lr: 1.651e-02, eta: 1 day, 1:25:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 2.3975, loss: 2.3975 +2025-05-31 14:04:05,403 - pyskl - INFO - Epoch [60][1100/2353] lr: 1.650e-02, eta: 1 day, 1:24:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 2.3909, loss: 2.3909 +2025-05-31 14:04:48,295 - pyskl - INFO - Epoch [60][1200/2353] lr: 1.648e-02, eta: 1 day, 1:23:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 2.5500, loss: 2.5500 +2025-05-31 14:05:31,300 - pyskl - INFO - Epoch [60][1300/2353] lr: 1.647e-02, eta: 1 day, 1:23:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 2.4067, loss: 2.4067 +2025-05-31 14:06:14,422 - pyskl - INFO - Epoch [60][1400/2353] lr: 1.646e-02, eta: 1 day, 1:22:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 2.4491, loss: 2.4491 +2025-05-31 14:06:57,556 - pyskl - INFO - Epoch [60][1500/2353] lr: 1.645e-02, eta: 1 day, 1:21:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 2.5167, loss: 2.5167 +2025-05-31 14:07:40,757 - pyskl - INFO - Epoch [60][1600/2353] lr: 1.644e-02, eta: 1 day, 1:21:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9794, loss_cls: 2.4668, loss: 2.4668 +2025-05-31 14:08:23,857 - pyskl - INFO - Epoch [60][1700/2353] lr: 1.643e-02, eta: 1 day, 1:20:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 2.5785, loss: 2.5785 +2025-05-31 14:09:06,808 - pyskl - INFO - Epoch [60][1800/2353] lr: 1.642e-02, eta: 1 day, 1:19:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 2.4672, loss: 2.4672 +2025-05-31 14:09:49,741 - pyskl - INFO - Epoch [60][1900/2353] lr: 1.641e-02, eta: 1 day, 1:18:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9844, loss_cls: 2.4911, loss: 2.4911 +2025-05-31 14:10:32,729 - pyskl - INFO - Epoch [60][2000/2353] lr: 1.640e-02, eta: 1 day, 1:18:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 2.5122, loss: 2.5122 +2025-05-31 14:11:15,674 - pyskl - INFO - Epoch [60][2100/2353] lr: 1.639e-02, eta: 1 day, 1:17:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 2.4382, loss: 2.4382 +2025-05-31 14:11:58,777 - pyskl - INFO - Epoch [60][2200/2353] lr: 1.638e-02, eta: 1 day, 1:16:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9838, loss_cls: 2.5888, loss: 2.5888 +2025-05-31 14:12:41,809 - pyskl - INFO - Epoch [60][2300/2353] lr: 1.637e-02, eta: 1 day, 1:16:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 2.3586, loss: 2.3586 +2025-05-31 14:13:05,187 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-05-31 14:21:55,565 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 14:21:55,639 - pyskl - INFO - +top1_acc 0.9029 +top5_acc 0.9910 +2025-05-31 14:21:55,692 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_40.pth was removed +2025-05-31 14:21:56,683 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_60.pth. +2025-05-31 14:21:56,684 - pyskl - INFO - Best top1_acc is 0.9029 at 60 epoch. +2025-05-31 14:21:56,686 - pyskl - INFO - Epoch(val) [60][1184] top1_acc: 0.9029, top5_acc: 0.9910 +2025-05-31 14:23:00,510 - pyskl - INFO - Epoch [61][100/2353] lr: 1.635e-02, eta: 1 day, 1:14:53, time: 0.638, data_time: 0.210, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9881, loss_cls: 2.4081, loss: 2.4081 +2025-05-31 14:23:43,405 - pyskl - INFO - Epoch [61][200/2353] lr: 1.634e-02, eta: 1 day, 1:14:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9881, loss_cls: 2.4308, loss: 2.4308 +2025-05-31 14:24:26,314 - pyskl - INFO - Epoch [61][300/2353] lr: 1.633e-02, eta: 1 day, 1:13:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9831, loss_cls: 2.4510, loss: 2.4510 +2025-05-31 14:25:09,509 - pyskl - INFO - Epoch [61][400/2353] lr: 1.632e-02, eta: 1 day, 1:12:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9894, loss_cls: 2.4005, loss: 2.4005 +2025-05-31 14:25:52,453 - pyskl - INFO - Epoch [61][500/2353] lr: 1.631e-02, eta: 1 day, 1:12:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 2.4880, loss: 2.4880 +2025-05-31 14:26:35,481 - pyskl - INFO - Epoch [61][600/2353] lr: 1.630e-02, eta: 1 day, 1:11:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9938, loss_cls: 2.4591, loss: 2.4591 +2025-05-31 14:27:18,381 - pyskl - INFO - Epoch [61][700/2353] lr: 1.629e-02, eta: 1 day, 1:10:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9831, loss_cls: 2.5687, loss: 2.5687 +2025-05-31 14:28:01,391 - pyskl - INFO - Epoch [61][800/2353] lr: 1.628e-02, eta: 1 day, 1:09:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9869, loss_cls: 2.5156, loss: 2.5156 +2025-05-31 14:28:44,456 - pyskl - INFO - Epoch [61][900/2353] lr: 1.627e-02, eta: 1 day, 1:09:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 2.5418, loss: 2.5418 +2025-05-31 14:29:27,466 - pyskl - INFO - Epoch [61][1000/2353] lr: 1.626e-02, eta: 1 day, 1:08:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9844, loss_cls: 2.3474, loss: 2.3474 +2025-05-31 14:30:10,400 - pyskl - INFO - Epoch [61][1100/2353] lr: 1.625e-02, eta: 1 day, 1:07:45, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9825, loss_cls: 2.4390, loss: 2.4390 +2025-05-31 14:30:53,377 - pyskl - INFO - Epoch [61][1200/2353] lr: 1.624e-02, eta: 1 day, 1:07:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9881, loss_cls: 2.4762, loss: 2.4762 +2025-05-31 14:31:36,345 - pyskl - INFO - Epoch [61][1300/2353] lr: 1.623e-02, eta: 1 day, 1:06:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9888, loss_cls: 2.4325, loss: 2.4325 +2025-05-31 14:32:19,284 - pyskl - INFO - Epoch [61][1400/2353] lr: 1.621e-02, eta: 1 day, 1:05:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9838, loss_cls: 2.4201, loss: 2.4201 +2025-05-31 14:33:02,563 - pyskl - INFO - Epoch [61][1500/2353] lr: 1.620e-02, eta: 1 day, 1:04:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9894, loss_cls: 2.3972, loss: 2.3972 +2025-05-31 14:33:45,836 - pyskl - INFO - Epoch [61][1600/2353] lr: 1.619e-02, eta: 1 day, 1:04:11, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9906, loss_cls: 2.4939, loss: 2.4939 +2025-05-31 14:34:28,962 - pyskl - INFO - Epoch [61][1700/2353] lr: 1.618e-02, eta: 1 day, 1:03:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 2.3686, loss: 2.3686 +2025-05-31 14:35:12,178 - pyskl - INFO - Epoch [61][1800/2353] lr: 1.617e-02, eta: 1 day, 1:02:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9844, loss_cls: 2.5444, loss: 2.5444 +2025-05-31 14:35:55,454 - pyskl - INFO - Epoch [61][1900/2353] lr: 1.616e-02, eta: 1 day, 1:02:03, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 2.6081, loss: 2.6081 +2025-05-31 14:36:38,597 - pyskl - INFO - Epoch [61][2000/2353] lr: 1.615e-02, eta: 1 day, 1:01:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 2.3690, loss: 2.3690 +2025-05-31 14:37:21,697 - pyskl - INFO - Epoch [61][2100/2353] lr: 1.614e-02, eta: 1 day, 1:00:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 2.3962, loss: 2.3962 +2025-05-31 14:38:04,820 - pyskl - INFO - Epoch [61][2200/2353] lr: 1.613e-02, eta: 1 day, 0:59:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9825, loss_cls: 2.3894, loss: 2.3894 +2025-05-31 14:38:47,909 - pyskl - INFO - Epoch [61][2300/2353] lr: 1.612e-02, eta: 1 day, 0:59:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9806, loss_cls: 2.5623, loss: 2.5623 +2025-05-31 14:39:11,370 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-05-31 14:40:36,869 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 14:40:36,944 - pyskl - INFO - +top1_acc 0.8974 +top5_acc 0.9908 +2025-05-31 14:40:36,947 - pyskl - INFO - Epoch(val) [61][1184] top1_acc: 0.8974, top5_acc: 0.9908 +2025-05-31 14:41:40,211 - pyskl - INFO - Epoch [62][100/2353] lr: 1.610e-02, eta: 1 day, 0:58:03, time: 0.633, data_time: 0.204, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 2.3737, loss: 2.3737 +2025-05-31 14:42:23,431 - pyskl - INFO - Epoch [62][200/2353] lr: 1.609e-02, eta: 1 day, 0:57:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 2.4234, loss: 2.4234 +2025-05-31 14:43:06,601 - pyskl - INFO - Epoch [62][300/2353] lr: 1.608e-02, eta: 1 day, 0:56:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9881, loss_cls: 2.4977, loss: 2.4977 +2025-05-31 14:43:49,745 - pyskl - INFO - Epoch [62][400/2353] lr: 1.607e-02, eta: 1 day, 0:55:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9906, loss_cls: 2.3638, loss: 2.3638 +2025-05-31 14:44:32,756 - pyskl - INFO - Epoch [62][500/2353] lr: 1.606e-02, eta: 1 day, 0:55:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9850, loss_cls: 2.3980, loss: 2.3980 +2025-05-31 14:45:15,781 - pyskl - INFO - Epoch [62][600/2353] lr: 1.605e-02, eta: 1 day, 0:54:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9781, loss_cls: 2.4383, loss: 2.4383 +2025-05-31 14:45:58,747 - pyskl - INFO - Epoch [62][700/2353] lr: 1.604e-02, eta: 1 day, 0:53:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 2.5590, loss: 2.5590 +2025-05-31 14:46:41,700 - pyskl - INFO - Epoch [62][800/2353] lr: 1.603e-02, eta: 1 day, 0:53:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 2.3855, loss: 2.3855 +2025-05-31 14:47:24,656 - pyskl - INFO - Epoch [62][900/2353] lr: 1.602e-02, eta: 1 day, 0:52:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 2.4801, loss: 2.4801 +2025-05-31 14:48:07,558 - pyskl - INFO - Epoch [62][1000/2353] lr: 1.601e-02, eta: 1 day, 0:51:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 2.4324, loss: 2.4324 +2025-05-31 14:48:50,409 - pyskl - INFO - Epoch [62][1100/2353] lr: 1.600e-02, eta: 1 day, 0:50:55, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 2.4042, loss: 2.4042 +2025-05-31 14:49:33,571 - pyskl - INFO - Epoch [62][1200/2353] lr: 1.598e-02, eta: 1 day, 0:50:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 2.3519, loss: 2.3519 +2025-05-31 14:50:16,645 - pyskl - INFO - Epoch [62][1300/2353] lr: 1.597e-02, eta: 1 day, 0:49:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9888, loss_cls: 2.4792, loss: 2.4792 +2025-05-31 14:50:59,528 - pyskl - INFO - Epoch [62][1400/2353] lr: 1.596e-02, eta: 1 day, 0:48:47, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9862, loss_cls: 2.4709, loss: 2.4709 +2025-05-31 14:51:42,244 - pyskl - INFO - Epoch [62][1500/2353] lr: 1.595e-02, eta: 1 day, 0:48:03, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9838, loss_cls: 2.4532, loss: 2.4532 +2025-05-31 14:52:25,131 - pyskl - INFO - Epoch [62][1600/2353] lr: 1.594e-02, eta: 1 day, 0:47:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9875, loss_cls: 2.4824, loss: 2.4824 +2025-05-31 14:53:08,116 - pyskl - INFO - Epoch [62][1700/2353] lr: 1.593e-02, eta: 1 day, 0:46:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9819, loss_cls: 2.5075, loss: 2.5075 +2025-05-31 14:53:50,959 - pyskl - INFO - Epoch [62][1800/2353] lr: 1.592e-02, eta: 1 day, 0:45:54, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 2.4697, loss: 2.4697 +2025-05-31 14:54:33,967 - pyskl - INFO - Epoch [62][1900/2353] lr: 1.591e-02, eta: 1 day, 0:45:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9869, loss_cls: 2.5212, loss: 2.5212 +2025-05-31 14:55:16,936 - pyskl - INFO - Epoch [62][2000/2353] lr: 1.590e-02, eta: 1 day, 0:44:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 2.3995, loss: 2.3995 +2025-05-31 14:55:59,901 - pyskl - INFO - Epoch [62][2100/2353] lr: 1.589e-02, eta: 1 day, 0:43:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9819, loss_cls: 2.5222, loss: 2.5222 +2025-05-31 14:56:42,898 - pyskl - INFO - Epoch [62][2200/2353] lr: 1.588e-02, eta: 1 day, 0:43:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 2.3559, loss: 2.3559 +2025-05-31 14:57:25,604 - pyskl - INFO - Epoch [62][2300/2353] lr: 1.587e-02, eta: 1 day, 0:42:20, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9900, loss_cls: 2.3666, loss: 2.3666 +2025-05-31 14:57:48,896 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-05-31 14:59:14,232 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 14:59:14,308 - pyskl - INFO - +top1_acc 0.8911 +top5_acc 0.9889 +2025-05-31 14:59:14,311 - pyskl - INFO - Epoch(val) [62][1184] top1_acc: 0.8911, top5_acc: 0.9889 +2025-05-31 15:00:17,996 - pyskl - INFO - Epoch [63][100/2353] lr: 1.585e-02, eta: 1 day, 0:41:11, time: 0.637, data_time: 0.207, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 2.3146, loss: 2.3146 +2025-05-31 15:01:01,198 - pyskl - INFO - Epoch [63][200/2353] lr: 1.584e-02, eta: 1 day, 0:40:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9881, loss_cls: 2.4897, loss: 2.4897 +2025-05-31 15:01:44,256 - pyskl - INFO - Epoch [63][300/2353] lr: 1.583e-02, eta: 1 day, 0:39:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 2.4036, loss: 2.4036 +2025-05-31 15:02:27,204 - pyskl - INFO - Epoch [63][400/2353] lr: 1.582e-02, eta: 1 day, 0:39:03, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9844, loss_cls: 2.3649, loss: 2.3649 +2025-05-31 15:03:10,221 - pyskl - INFO - Epoch [63][500/2353] lr: 1.581e-02, eta: 1 day, 0:38:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9906, loss_cls: 2.3501, loss: 2.3501 +2025-05-31 15:03:53,258 - pyskl - INFO - Epoch [63][600/2353] lr: 1.580e-02, eta: 1 day, 0:37:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 2.5027, loss: 2.5027 +2025-05-31 15:04:36,208 - pyskl - INFO - Epoch [63][700/2353] lr: 1.579e-02, eta: 1 day, 0:36:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9894, loss_cls: 2.4307, loss: 2.4307 +2025-05-31 15:05:19,233 - pyskl - INFO - Epoch [63][800/2353] lr: 1.578e-02, eta: 1 day, 0:36:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9838, loss_cls: 2.4929, loss: 2.4929 +2025-05-31 15:06:02,228 - pyskl - INFO - Epoch [63][900/2353] lr: 1.577e-02, eta: 1 day, 0:35:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9844, loss_cls: 2.4646, loss: 2.4646 +2025-05-31 15:06:45,197 - pyskl - INFO - Epoch [63][1000/2353] lr: 1.575e-02, eta: 1 day, 0:34:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9912, loss_cls: 2.5236, loss: 2.5236 +2025-05-31 15:07:28,102 - pyskl - INFO - Epoch [63][1100/2353] lr: 1.574e-02, eta: 1 day, 0:34:03, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 2.3994, loss: 2.3994 +2025-05-31 15:08:11,023 - pyskl - INFO - Epoch [63][1200/2353] lr: 1.573e-02, eta: 1 day, 0:33:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9856, loss_cls: 2.5183, loss: 2.5183 +2025-05-31 15:08:54,009 - pyskl - INFO - Epoch [63][1300/2353] lr: 1.572e-02, eta: 1 day, 0:32:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 2.5139, loss: 2.5139 +2025-05-31 15:09:36,970 - pyskl - INFO - Epoch [63][1400/2353] lr: 1.571e-02, eta: 1 day, 0:31:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9881, loss_cls: 2.4724, loss: 2.4724 +2025-05-31 15:10:20,051 - pyskl - INFO - Epoch [63][1500/2353] lr: 1.570e-02, eta: 1 day, 0:31:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9912, loss_cls: 2.4730, loss: 2.4730 +2025-05-31 15:11:03,081 - pyskl - INFO - Epoch [63][1600/2353] lr: 1.569e-02, eta: 1 day, 0:30:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9819, loss_cls: 2.4005, loss: 2.4005 +2025-05-31 15:11:46,178 - pyskl - INFO - Epoch [63][1700/2353] lr: 1.568e-02, eta: 1 day, 0:29:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9831, loss_cls: 2.5508, loss: 2.5508 +2025-05-31 15:12:29,187 - pyskl - INFO - Epoch [63][1800/2353] lr: 1.567e-02, eta: 1 day, 0:29:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9800, loss_cls: 2.5383, loss: 2.5383 +2025-05-31 15:13:12,122 - pyskl - INFO - Epoch [63][1900/2353] lr: 1.566e-02, eta: 1 day, 0:28:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 2.5293, loss: 2.5293 +2025-05-31 15:13:55,070 - pyskl - INFO - Epoch [63][2000/2353] lr: 1.565e-02, eta: 1 day, 0:27:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9844, loss_cls: 2.5045, loss: 2.5045 +2025-05-31 15:14:38,013 - pyskl - INFO - Epoch [63][2100/2353] lr: 1.564e-02, eta: 1 day, 0:26:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9812, loss_cls: 2.5810, loss: 2.5810 +2025-05-31 15:15:20,942 - pyskl - INFO - Epoch [63][2200/2353] lr: 1.563e-02, eta: 1 day, 0:26:11, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9862, loss_cls: 2.5480, loss: 2.5480 +2025-05-31 15:16:03,857 - pyskl - INFO - Epoch [63][2300/2353] lr: 1.561e-02, eta: 1 day, 0:25:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 2.4106, loss: 2.4106 +2025-05-31 15:16:27,153 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-05-31 15:17:52,311 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 15:17:52,386 - pyskl - INFO - +top1_acc 0.8983 +top5_acc 0.9900 +2025-05-31 15:17:52,389 - pyskl - INFO - Epoch(val) [63][1184] top1_acc: 0.8983, top5_acc: 0.9900 +2025-05-31 15:18:56,154 - pyskl - INFO - Epoch [64][100/2353] lr: 1.560e-02, eta: 1 day, 0:24:20, time: 0.638, data_time: 0.207, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 2.2890, loss: 2.2890 +2025-05-31 15:19:39,099 - pyskl - INFO - Epoch [64][200/2353] lr: 1.559e-02, eta: 1 day, 0:23:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 2.3288, loss: 2.3288 +2025-05-31 15:20:22,029 - pyskl - INFO - Epoch [64][300/2353] lr: 1.558e-02, eta: 1 day, 0:22:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 2.3645, loss: 2.3645 +2025-05-31 15:21:05,030 - pyskl - INFO - Epoch [64][400/2353] lr: 1.557e-02, eta: 1 day, 0:22:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 2.3947, loss: 2.3947 +2025-05-31 15:21:48,076 - pyskl - INFO - Epoch [64][500/2353] lr: 1.555e-02, eta: 1 day, 0:21:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9869, loss_cls: 2.4583, loss: 2.4583 +2025-05-31 15:22:31,158 - pyskl - INFO - Epoch [64][600/2353] lr: 1.554e-02, eta: 1 day, 0:20:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9869, loss_cls: 2.4777, loss: 2.4777 +2025-05-31 15:23:14,252 - pyskl - INFO - Epoch [64][700/2353] lr: 1.553e-02, eta: 1 day, 0:20:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9888, loss_cls: 2.3890, loss: 2.3890 +2025-05-31 15:23:57,460 - pyskl - INFO - Epoch [64][800/2353] lr: 1.552e-02, eta: 1 day, 0:19:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 2.4064, loss: 2.4064 +2025-05-31 15:24:40,643 - pyskl - INFO - Epoch [64][900/2353] lr: 1.551e-02, eta: 1 day, 0:18:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 2.4424, loss: 2.4424 +2025-05-31 15:25:23,768 - pyskl - INFO - Epoch [64][1000/2353] lr: 1.550e-02, eta: 1 day, 0:17:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9869, loss_cls: 2.4347, loss: 2.4347 +2025-05-31 15:26:06,975 - pyskl - INFO - Epoch [64][1100/2353] lr: 1.549e-02, eta: 1 day, 0:17:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9831, loss_cls: 2.4779, loss: 2.4779 +2025-05-31 15:26:50,149 - pyskl - INFO - Epoch [64][1200/2353] lr: 1.548e-02, eta: 1 day, 0:16:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9825, loss_cls: 2.5079, loss: 2.5079 +2025-05-31 15:27:33,277 - pyskl - INFO - Epoch [64][1300/2353] lr: 1.547e-02, eta: 1 day, 0:15:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 2.4534, loss: 2.4534 +2025-05-31 15:28:16,264 - pyskl - INFO - Epoch [64][1400/2353] lr: 1.546e-02, eta: 1 day, 0:15:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 2.3958, loss: 2.3958 +2025-05-31 15:28:59,361 - pyskl - INFO - Epoch [64][1500/2353] lr: 1.545e-02, eta: 1 day, 0:14:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 2.3802, loss: 2.3802 +2025-05-31 15:29:42,525 - pyskl - INFO - Epoch [64][1600/2353] lr: 1.544e-02, eta: 1 day, 0:13:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9819, loss_cls: 2.5119, loss: 2.5119 +2025-05-31 15:30:25,842 - pyskl - INFO - Epoch [64][1700/2353] lr: 1.543e-02, eta: 1 day, 0:12:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 2.4727, loss: 2.4727 +2025-05-31 15:31:08,966 - pyskl - INFO - Epoch [64][1800/2353] lr: 1.541e-02, eta: 1 day, 0:12:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 2.3129, loss: 2.3129 +2025-05-31 15:31:51,972 - pyskl - INFO - Epoch [64][1900/2353] lr: 1.540e-02, eta: 1 day, 0:11:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 2.4749, loss: 2.4749 +2025-05-31 15:32:35,021 - pyskl - INFO - Epoch [64][2000/2353] lr: 1.539e-02, eta: 1 day, 0:10:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9825, loss_cls: 2.4692, loss: 2.4692 +2025-05-31 15:33:18,155 - pyskl - INFO - Epoch [64][2100/2353] lr: 1.538e-02, eta: 1 day, 0:10:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9856, loss_cls: 2.3970, loss: 2.3970 +2025-05-31 15:34:01,261 - pyskl - INFO - Epoch [64][2200/2353] lr: 1.537e-02, eta: 1 day, 0:09:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 2.5000, loss: 2.5000 +2025-05-31 15:34:44,443 - pyskl - INFO - Epoch [64][2300/2353] lr: 1.536e-02, eta: 1 day, 0:08:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9856, loss_cls: 2.4483, loss: 2.4483 +2025-05-31 15:35:07,828 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-05-31 15:36:33,201 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 15:36:33,276 - pyskl - INFO - +top1_acc 0.9038 +top5_acc 0.9917 +2025-05-31 15:36:33,329 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_60.pth was removed +2025-05-31 15:36:34,322 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_64.pth. +2025-05-31 15:36:34,323 - pyskl - INFO - Best top1_acc is 0.9038 at 64 epoch. +2025-05-31 15:36:34,326 - pyskl - INFO - Epoch(val) [64][1184] top1_acc: 0.9038, top5_acc: 0.9917 +2025-05-31 15:37:37,988 - pyskl - INFO - Epoch [65][100/2353] lr: 1.534e-02, eta: 1 day, 0:07:31, time: 0.637, data_time: 0.207, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9856, loss_cls: 2.4139, loss: 2.4139 +2025-05-31 15:38:20,988 - pyskl - INFO - Epoch [65][200/2353] lr: 1.533e-02, eta: 1 day, 0:06:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9919, loss_cls: 2.2913, loss: 2.2913 +2025-05-31 15:39:04,067 - pyskl - INFO - Epoch [65][300/2353] lr: 1.532e-02, eta: 1 day, 0:06:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9900, loss_cls: 2.3266, loss: 2.3266 +2025-05-31 15:39:47,050 - pyskl - INFO - Epoch [65][400/2353] lr: 1.531e-02, eta: 1 day, 0:05:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9900, loss_cls: 2.3363, loss: 2.3363 +2025-05-31 15:40:30,045 - pyskl - INFO - Epoch [65][500/2353] lr: 1.530e-02, eta: 1 day, 0:04:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9875, loss_cls: 2.4133, loss: 2.4133 +2025-05-31 15:41:13,035 - pyskl - INFO - Epoch [65][600/2353] lr: 1.529e-02, eta: 1 day, 0:03:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9906, loss_cls: 2.4505, loss: 2.4505 +2025-05-31 15:41:56,037 - pyskl - INFO - Epoch [65][700/2353] lr: 1.528e-02, eta: 1 day, 0:03:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 2.3963, loss: 2.3963 +2025-05-31 15:42:39,096 - pyskl - INFO - Epoch [65][800/2353] lr: 1.527e-02, eta: 1 day, 0:02:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9844, loss_cls: 2.4064, loss: 2.4064 +2025-05-31 15:43:22,105 - pyskl - INFO - Epoch [65][900/2353] lr: 1.526e-02, eta: 1 day, 0:01:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9869, loss_cls: 2.4216, loss: 2.4216 +2025-05-31 15:44:05,072 - pyskl - INFO - Epoch [65][1000/2353] lr: 1.525e-02, eta: 1 day, 0:01:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9806, loss_cls: 2.4842, loss: 2.4842 +2025-05-31 15:44:48,009 - pyskl - INFO - Epoch [65][1100/2353] lr: 1.524e-02, eta: 1 day, 0:00:23, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9900, loss_cls: 2.3515, loss: 2.3515 +2025-05-31 15:45:30,880 - pyskl - INFO - Epoch [65][1200/2353] lr: 1.522e-02, eta: 23:59:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9850, loss_cls: 2.4290, loss: 2.4290 +2025-05-31 15:46:13,852 - pyskl - INFO - Epoch [65][1300/2353] lr: 1.521e-02, eta: 23:58:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 2.4538, loss: 2.4538 +2025-05-31 15:46:56,822 - pyskl - INFO - Epoch [65][1400/2353] lr: 1.520e-02, eta: 23:58:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9888, loss_cls: 2.5488, loss: 2.5488 +2025-05-31 15:47:39,933 - pyskl - INFO - Epoch [65][1500/2353] lr: 1.519e-02, eta: 23:57:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9881, loss_cls: 2.4121, loss: 2.4121 +2025-05-31 15:48:23,044 - pyskl - INFO - Epoch [65][1600/2353] lr: 1.518e-02, eta: 23:56:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 2.3853, loss: 2.3853 +2025-05-31 15:49:06,283 - pyskl - INFO - Epoch [65][1700/2353] lr: 1.517e-02, eta: 23:56:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9812, loss_cls: 2.5684, loss: 2.5684 +2025-05-31 15:49:49,459 - pyskl - INFO - Epoch [65][1800/2353] lr: 1.516e-02, eta: 23:55:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 2.4377, loss: 2.4377 +2025-05-31 15:50:32,532 - pyskl - INFO - Epoch [65][1900/2353] lr: 1.515e-02, eta: 23:54:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 2.4014, loss: 2.4014 +2025-05-31 15:51:15,877 - pyskl - INFO - Epoch [65][2000/2353] lr: 1.514e-02, eta: 23:53:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9819, loss_cls: 2.4987, loss: 2.4987 +2025-05-31 15:51:59,133 - pyskl - INFO - Epoch [65][2100/2353] lr: 1.513e-02, eta: 23:53:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 2.3544, loss: 2.3544 +2025-05-31 15:52:42,224 - pyskl - INFO - Epoch [65][2200/2353] lr: 1.512e-02, eta: 23:52:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9862, loss_cls: 2.4101, loss: 2.4101 +2025-05-31 15:53:25,499 - pyskl - INFO - Epoch [65][2300/2353] lr: 1.510e-02, eta: 23:51:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 2.4363, loss: 2.4363 +2025-05-31 15:53:48,970 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-05-31 16:02:46,439 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 16:02:46,514 - pyskl - INFO - +top1_acc 0.9019 +top5_acc 0.9905 +2025-05-31 16:02:46,517 - pyskl - INFO - Epoch(val) [65][1184] top1_acc: 0.9019, top5_acc: 0.9905 +2025-05-31 16:03:49,802 - pyskl - INFO - Epoch [66][100/2353] lr: 1.509e-02, eta: 23:50:41, time: 0.633, data_time: 0.204, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 2.2522, loss: 2.2522 +2025-05-31 16:04:32,669 - pyskl - INFO - Epoch [66][200/2353] lr: 1.508e-02, eta: 23:49:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9925, loss_cls: 2.3063, loss: 2.3063 +2025-05-31 16:05:15,549 - pyskl - INFO - Epoch [66][300/2353] lr: 1.507e-02, eta: 23:49:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 2.3316, loss: 2.3316 +2025-05-31 16:05:58,331 - pyskl - INFO - Epoch [66][400/2353] lr: 1.506e-02, eta: 23:48:32, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 2.2955, loss: 2.2955 +2025-05-31 16:06:41,207 - pyskl - INFO - Epoch [66][500/2353] lr: 1.504e-02, eta: 23:47:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 2.3990, loss: 2.3990 +2025-05-31 16:07:24,017 - pyskl - INFO - Epoch [66][600/2353] lr: 1.503e-02, eta: 23:47:06, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9869, loss_cls: 2.3646, loss: 2.3646 +2025-05-31 16:08:07,064 - pyskl - INFO - Epoch [66][700/2353] lr: 1.502e-02, eta: 23:46:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9925, loss_cls: 2.2808, loss: 2.2808 +2025-05-31 16:08:50,063 - pyskl - INFO - Epoch [66][800/2353] lr: 1.501e-02, eta: 23:45:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 2.3382, loss: 2.3382 +2025-05-31 16:09:33,136 - pyskl - INFO - Epoch [66][900/2353] lr: 1.500e-02, eta: 23:44:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 2.4530, loss: 2.4530 +2025-05-31 16:10:16,108 - pyskl - INFO - Epoch [66][1000/2353] lr: 1.499e-02, eta: 23:44:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9769, loss_cls: 2.5375, loss: 2.5375 +2025-05-31 16:10:59,072 - pyskl - INFO - Epoch [66][1100/2353] lr: 1.498e-02, eta: 23:43:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 2.3709, loss: 2.3709 +2025-05-31 16:11:42,105 - pyskl - INFO - Epoch [66][1200/2353] lr: 1.497e-02, eta: 23:42:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 2.3792, loss: 2.3792 +2025-05-31 16:12:25,141 - pyskl - INFO - Epoch [66][1300/2353] lr: 1.496e-02, eta: 23:42:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9831, loss_cls: 2.4396, loss: 2.4396 +2025-05-31 16:13:08,138 - pyskl - INFO - Epoch [66][1400/2353] lr: 1.495e-02, eta: 23:41:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9812, loss_cls: 2.3121, loss: 2.3121 +2025-05-31 16:13:51,173 - pyskl - INFO - Epoch [66][1500/2353] lr: 1.494e-02, eta: 23:40:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9838, loss_cls: 2.4045, loss: 2.4045 +2025-05-31 16:14:34,190 - pyskl - INFO - Epoch [66][1600/2353] lr: 1.492e-02, eta: 23:39:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 2.3379, loss: 2.3379 +2025-05-31 16:15:17,146 - pyskl - INFO - Epoch [66][1700/2353] lr: 1.491e-02, eta: 23:39:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9806, loss_cls: 2.3975, loss: 2.3975 +2025-05-31 16:16:00,142 - pyskl - INFO - Epoch [66][1800/2353] lr: 1.490e-02, eta: 23:38:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9875, loss_cls: 2.4528, loss: 2.4528 +2025-05-31 16:16:43,094 - pyskl - INFO - Epoch [66][1900/2353] lr: 1.489e-02, eta: 23:37:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 2.2735, loss: 2.2735 +2025-05-31 16:17:26,078 - pyskl - INFO - Epoch [66][2000/2353] lr: 1.488e-02, eta: 23:37:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9812, loss_cls: 2.3946, loss: 2.3946 +2025-05-31 16:18:09,053 - pyskl - INFO - Epoch [66][2100/2353] lr: 1.487e-02, eta: 23:36:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9819, loss_cls: 2.3372, loss: 2.3372 +2025-05-31 16:18:51,929 - pyskl - INFO - Epoch [66][2200/2353] lr: 1.486e-02, eta: 23:35:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 2.4862, loss: 2.4862 +2025-05-31 16:19:34,824 - pyskl - INFO - Epoch [66][2300/2353] lr: 1.485e-02, eta: 23:34:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9856, loss_cls: 2.4283, loss: 2.4283 +2025-05-31 16:19:58,092 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-05-31 16:21:23,540 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 16:21:23,615 - pyskl - INFO - +top1_acc 0.8949 +top5_acc 0.9902 +2025-05-31 16:21:23,619 - pyskl - INFO - Epoch(val) [66][1184] top1_acc: 0.8949, top5_acc: 0.9902 +2025-05-31 16:22:27,020 - pyskl - INFO - Epoch [67][100/2353] lr: 1.483e-02, eta: 23:33:48, time: 0.634, data_time: 0.202, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 2.3172, loss: 2.3172 +2025-05-31 16:23:10,166 - pyskl - INFO - Epoch [67][200/2353] lr: 1.482e-02, eta: 23:33:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 2.2922, loss: 2.2922 +2025-05-31 16:23:53,237 - pyskl - INFO - Epoch [67][300/2353] lr: 1.481e-02, eta: 23:32:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 2.2570, loss: 2.2570 +2025-05-31 16:24:36,330 - pyskl - INFO - Epoch [67][400/2353] lr: 1.480e-02, eta: 23:31:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 2.3185, loss: 2.3185 +2025-05-31 16:25:19,348 - pyskl - INFO - Epoch [67][500/2353] lr: 1.479e-02, eta: 23:30:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9856, loss_cls: 2.4441, loss: 2.4441 +2025-05-31 16:26:02,386 - pyskl - INFO - Epoch [67][600/2353] lr: 1.478e-02, eta: 23:30:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9912, loss_cls: 2.3156, loss: 2.3156 +2025-05-31 16:26:45,484 - pyskl - INFO - Epoch [67][700/2353] lr: 1.477e-02, eta: 23:29:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 2.4375, loss: 2.4375 +2025-05-31 16:27:28,512 - pyskl - INFO - Epoch [67][800/2353] lr: 1.475e-02, eta: 23:28:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 2.4144, loss: 2.4144 +2025-05-31 16:28:11,708 - pyskl - INFO - Epoch [67][900/2353] lr: 1.474e-02, eta: 23:28:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9862, loss_cls: 2.4343, loss: 2.4343 +2025-05-31 16:28:54,659 - pyskl - INFO - Epoch [67][1000/2353] lr: 1.473e-02, eta: 23:27:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 2.3979, loss: 2.3979 +2025-05-31 16:29:37,725 - pyskl - INFO - Epoch [67][1100/2353] lr: 1.472e-02, eta: 23:26:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 2.4389, loss: 2.4389 +2025-05-31 16:30:20,688 - pyskl - INFO - Epoch [67][1200/2353] lr: 1.471e-02, eta: 23:25:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 2.3358, loss: 2.3358 +2025-05-31 16:31:03,624 - pyskl - INFO - Epoch [67][1300/2353] lr: 1.470e-02, eta: 23:25:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 2.3155, loss: 2.3155 +2025-05-31 16:31:46,654 - pyskl - INFO - Epoch [67][1400/2353] lr: 1.469e-02, eta: 23:24:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9894, loss_cls: 2.4234, loss: 2.4234 +2025-05-31 16:32:29,629 - pyskl - INFO - Epoch [67][1500/2353] lr: 1.468e-02, eta: 23:23:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9912, loss_cls: 2.4187, loss: 2.4187 +2025-05-31 16:33:12,692 - pyskl - INFO - Epoch [67][1600/2353] lr: 1.467e-02, eta: 23:23:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 2.4065, loss: 2.4065 +2025-05-31 16:33:55,760 - pyskl - INFO - Epoch [67][1700/2353] lr: 1.466e-02, eta: 23:22:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 2.2828, loss: 2.2828 +2025-05-31 16:34:38,768 - pyskl - INFO - Epoch [67][1800/2353] lr: 1.465e-02, eta: 23:21:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9894, loss_cls: 2.3954, loss: 2.3954 +2025-05-31 16:35:21,812 - pyskl - INFO - Epoch [67][1900/2353] lr: 1.463e-02, eta: 23:20:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9875, loss_cls: 2.3264, loss: 2.3264 +2025-05-31 16:36:04,880 - pyskl - INFO - Epoch [67][2000/2353] lr: 1.462e-02, eta: 23:20:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9838, loss_cls: 2.4177, loss: 2.4177 +2025-05-31 16:36:47,849 - pyskl - INFO - Epoch [67][2100/2353] lr: 1.461e-02, eta: 23:19:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9825, loss_cls: 2.3991, loss: 2.3991 +2025-05-31 16:37:30,764 - pyskl - INFO - Epoch [67][2200/2353] lr: 1.460e-02, eta: 23:18:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 2.4619, loss: 2.4619 +2025-05-31 16:38:13,906 - pyskl - INFO - Epoch [67][2300/2353] lr: 1.459e-02, eta: 23:18:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9881, loss_cls: 2.3985, loss: 2.3985 +2025-05-31 16:38:37,114 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-05-31 16:40:02,330 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 16:40:02,408 - pyskl - INFO - +top1_acc 0.8884 +top5_acc 0.9891 +2025-05-31 16:40:02,411 - pyskl - INFO - Epoch(val) [67][1184] top1_acc: 0.8884, top5_acc: 0.9891 +2025-05-31 16:41:05,921 - pyskl - INFO - Epoch [68][100/2353] lr: 1.457e-02, eta: 23:16:58, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 2.2222, loss: 2.2222 +2025-05-31 16:41:48,909 - pyskl - INFO - Epoch [68][200/2353] lr: 1.456e-02, eta: 23:16:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 2.2629, loss: 2.2629 +2025-05-31 16:42:31,909 - pyskl - INFO - Epoch [68][300/2353] lr: 1.455e-02, eta: 23:15:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9938, loss_cls: 2.2959, loss: 2.2959 +2025-05-31 16:43:15,045 - pyskl - INFO - Epoch [68][400/2353] lr: 1.454e-02, eta: 23:14:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9919, loss_cls: 2.3210, loss: 2.3210 +2025-05-31 16:43:58,040 - pyskl - INFO - Epoch [68][500/2353] lr: 1.453e-02, eta: 23:14:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9825, loss_cls: 2.3988, loss: 2.3988 +2025-05-31 16:44:41,002 - pyskl - INFO - Epoch [68][600/2353] lr: 1.452e-02, eta: 23:13:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 2.3247, loss: 2.3247 +2025-05-31 16:45:23,973 - pyskl - INFO - Epoch [68][700/2353] lr: 1.451e-02, eta: 23:12:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 2.3398, loss: 2.3398 +2025-05-31 16:46:06,944 - pyskl - INFO - Epoch [68][800/2353] lr: 1.450e-02, eta: 23:11:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 2.3703, loss: 2.3703 +2025-05-31 16:46:49,885 - pyskl - INFO - Epoch [68][900/2353] lr: 1.449e-02, eta: 23:11:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 2.2933, loss: 2.2933 +2025-05-31 16:47:32,876 - pyskl - INFO - Epoch [68][1000/2353] lr: 1.447e-02, eta: 23:10:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 2.2996, loss: 2.2996 +2025-05-31 16:48:15,869 - pyskl - INFO - Epoch [68][1100/2353] lr: 1.446e-02, eta: 23:09:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 2.4647, loss: 2.4647 +2025-05-31 16:48:58,874 - pyskl - INFO - Epoch [68][1200/2353] lr: 1.445e-02, eta: 23:09:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9906, loss_cls: 2.4129, loss: 2.4129 +2025-05-31 16:49:41,729 - pyskl - INFO - Epoch [68][1300/2353] lr: 1.444e-02, eta: 23:08:23, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9812, loss_cls: 2.5543, loss: 2.5543 +2025-05-31 16:50:24,700 - pyskl - INFO - Epoch [68][1400/2353] lr: 1.443e-02, eta: 23:07:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9912, loss_cls: 2.4244, loss: 2.4244 +2025-05-31 16:51:07,626 - pyskl - INFO - Epoch [68][1500/2353] lr: 1.442e-02, eta: 23:06:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9894, loss_cls: 2.4207, loss: 2.4207 +2025-05-31 16:51:50,650 - pyskl - INFO - Epoch [68][1600/2353] lr: 1.441e-02, eta: 23:06:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 2.3264, loss: 2.3264 +2025-05-31 16:52:33,713 - pyskl - INFO - Epoch [68][1700/2353] lr: 1.440e-02, eta: 23:05:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 2.3351, loss: 2.3351 +2025-05-31 16:53:16,767 - pyskl - INFO - Epoch [68][1800/2353] lr: 1.439e-02, eta: 23:04:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 2.3368, loss: 2.3368 +2025-05-31 16:53:59,797 - pyskl - INFO - Epoch [68][1900/2353] lr: 1.438e-02, eta: 23:04:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 2.5078, loss: 2.5078 +2025-05-31 16:54:42,813 - pyskl - INFO - Epoch [68][2000/2353] lr: 1.436e-02, eta: 23:03:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 2.3574, loss: 2.3574 +2025-05-31 16:55:25,771 - pyskl - INFO - Epoch [68][2100/2353] lr: 1.435e-02, eta: 23:02:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 2.3276, loss: 2.3276 +2025-05-31 16:56:08,706 - pyskl - INFO - Epoch [68][2200/2353] lr: 1.434e-02, eta: 23:01:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9856, loss_cls: 2.4218, loss: 2.4218 +2025-05-31 16:56:51,710 - pyskl - INFO - Epoch [68][2300/2353] lr: 1.433e-02, eta: 23:01:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9844, loss_cls: 2.4504, loss: 2.4504 +2025-05-31 16:57:14,993 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-05-31 16:58:40,609 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 16:58:40,686 - pyskl - INFO - +top1_acc 0.8914 +top5_acc 0.9891 +2025-05-31 16:58:40,689 - pyskl - INFO - Epoch(val) [68][1184] top1_acc: 0.8914, top5_acc: 0.9891 +2025-05-31 16:59:44,504 - pyskl - INFO - Epoch [69][100/2353] lr: 1.432e-02, eta: 23:00:07, time: 0.638, data_time: 0.209, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 2.3563, loss: 2.3563 +2025-05-31 17:00:28,091 - pyskl - INFO - Epoch [69][200/2353] lr: 1.430e-02, eta: 22:59:25, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 2.2078, loss: 2.2078 +2025-05-31 17:01:11,535 - pyskl - INFO - Epoch [69][300/2353] lr: 1.429e-02, eta: 22:58:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 2.2841, loss: 2.2841 +2025-05-31 17:01:54,519 - pyskl - INFO - Epoch [69][400/2353] lr: 1.428e-02, eta: 22:57:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 2.3389, loss: 2.3389 +2025-05-31 17:02:37,506 - pyskl - INFO - Epoch [69][500/2353] lr: 1.427e-02, eta: 22:57:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 2.2394, loss: 2.2394 +2025-05-31 17:03:20,439 - pyskl - INFO - Epoch [69][600/2353] lr: 1.426e-02, eta: 22:56:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 2.2708, loss: 2.2708 +2025-05-31 17:04:03,518 - pyskl - INFO - Epoch [69][700/2353] lr: 1.425e-02, eta: 22:55:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9800, loss_cls: 2.3839, loss: 2.3839 +2025-05-31 17:04:46,497 - pyskl - INFO - Epoch [69][800/2353] lr: 1.424e-02, eta: 22:55:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.2409, loss: 2.2409 +2025-05-31 17:05:29,617 - pyskl - INFO - Epoch [69][900/2353] lr: 1.423e-02, eta: 22:54:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 2.4107, loss: 2.4107 +2025-05-31 17:06:12,638 - pyskl - INFO - Epoch [69][1000/2353] lr: 1.422e-02, eta: 22:53:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 2.4347, loss: 2.4347 +2025-05-31 17:06:55,728 - pyskl - INFO - Epoch [69][1100/2353] lr: 1.420e-02, eta: 22:52:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 2.3226, loss: 2.3226 +2025-05-31 17:07:38,746 - pyskl - INFO - Epoch [69][1200/2353] lr: 1.419e-02, eta: 22:52:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 2.3622, loss: 2.3622 +2025-05-31 17:08:21,742 - pyskl - INFO - Epoch [69][1300/2353] lr: 1.418e-02, eta: 22:51:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9819, loss_cls: 2.4505, loss: 2.4505 +2025-05-31 17:09:04,724 - pyskl - INFO - Epoch [69][1400/2353] lr: 1.417e-02, eta: 22:50:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 2.3459, loss: 2.3459 +2025-05-31 17:09:47,611 - pyskl - INFO - Epoch [69][1500/2353] lr: 1.416e-02, eta: 22:50:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9900, loss_cls: 2.3938, loss: 2.3938 +2025-05-31 17:10:30,582 - pyskl - INFO - Epoch [69][1600/2353] lr: 1.415e-02, eta: 22:49:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9844, loss_cls: 2.3722, loss: 2.3722 +2025-05-31 17:11:13,610 - pyskl - INFO - Epoch [69][1700/2353] lr: 1.414e-02, eta: 22:48:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9844, loss_cls: 2.3284, loss: 2.3284 +2025-05-31 17:11:56,807 - pyskl - INFO - Epoch [69][1800/2353] lr: 1.413e-02, eta: 22:47:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9812, loss_cls: 2.4997, loss: 2.4997 +2025-05-31 17:12:40,303 - pyskl - INFO - Epoch [69][1900/2353] lr: 1.412e-02, eta: 22:47:17, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 2.3429, loss: 2.3429 +2025-05-31 17:13:23,543 - pyskl - INFO - Epoch [69][2000/2353] lr: 1.411e-02, eta: 22:46:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 2.3163, loss: 2.3163 +2025-05-31 17:14:06,689 - pyskl - INFO - Epoch [69][2100/2353] lr: 1.409e-02, eta: 22:45:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9812, loss_cls: 2.4453, loss: 2.4453 +2025-05-31 17:14:49,732 - pyskl - INFO - Epoch [69][2200/2353] lr: 1.408e-02, eta: 22:45:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9788, loss_cls: 2.4838, loss: 2.4838 +2025-05-31 17:15:32,740 - pyskl - INFO - Epoch [69][2300/2353] lr: 1.407e-02, eta: 22:44:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 2.3304, loss: 2.3304 +2025-05-31 17:15:56,069 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-05-31 17:17:21,592 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 17:17:21,668 - pyskl - INFO - +top1_acc 0.9038 +top5_acc 0.9904 +2025-05-31 17:17:21,671 - pyskl - INFO - Epoch(val) [69][1184] top1_acc: 0.9038, top5_acc: 0.9904 +2025-05-31 17:18:25,320 - pyskl - INFO - Epoch [70][100/2353] lr: 1.406e-02, eta: 22:43:18, time: 0.636, data_time: 0.207, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 2.1783, loss: 2.1783 +2025-05-31 17:19:08,230 - pyskl - INFO - Epoch [70][200/2353] lr: 1.404e-02, eta: 22:42:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9906, loss_cls: 2.3101, loss: 2.3101 +2025-05-31 17:19:51,336 - pyskl - INFO - Epoch [70][300/2353] lr: 1.403e-02, eta: 22:41:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9912, loss_cls: 2.2659, loss: 2.2659 +2025-05-31 17:20:34,350 - pyskl - INFO - Epoch [70][400/2353] lr: 1.402e-02, eta: 22:41:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9906, loss_cls: 2.3576, loss: 2.3576 +2025-05-31 17:21:17,460 - pyskl - INFO - Epoch [70][500/2353] lr: 1.401e-02, eta: 22:40:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 2.3408, loss: 2.3408 +2025-05-31 17:22:00,651 - pyskl - INFO - Epoch [70][600/2353] lr: 1.400e-02, eta: 22:39:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9925, loss_cls: 2.2518, loss: 2.2518 +2025-05-31 17:22:43,632 - pyskl - INFO - Epoch [70][700/2353] lr: 1.399e-02, eta: 22:39:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 2.2937, loss: 2.2937 +2025-05-31 17:23:26,705 - pyskl - INFO - Epoch [70][800/2353] lr: 1.398e-02, eta: 22:38:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 2.3225, loss: 2.3225 +2025-05-31 17:24:09,737 - pyskl - INFO - Epoch [70][900/2353] lr: 1.397e-02, eta: 22:37:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9806, loss_cls: 2.4205, loss: 2.4205 +2025-05-31 17:24:52,621 - pyskl - INFO - Epoch [70][1000/2353] lr: 1.396e-02, eta: 22:36:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9888, loss_cls: 2.3563, loss: 2.3563 +2025-05-31 17:25:35,593 - pyskl - INFO - Epoch [70][1100/2353] lr: 1.395e-02, eta: 22:36:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9925, loss_cls: 2.2652, loss: 2.2652 +2025-05-31 17:26:18,460 - pyskl - INFO - Epoch [70][1200/2353] lr: 1.393e-02, eta: 22:35:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9838, loss_cls: 2.4202, loss: 2.4202 +2025-05-31 17:27:01,432 - pyskl - INFO - Epoch [70][1300/2353] lr: 1.392e-02, eta: 22:34:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9800, loss_cls: 2.4775, loss: 2.4775 +2025-05-31 17:27:44,464 - pyskl - INFO - Epoch [70][1400/2353] lr: 1.391e-02, eta: 22:34:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 2.2915, loss: 2.2915 +2025-05-31 17:28:27,364 - pyskl - INFO - Epoch [70][1500/2353] lr: 1.390e-02, eta: 22:33:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9862, loss_cls: 2.2624, loss: 2.2624 +2025-05-31 17:29:10,248 - pyskl - INFO - Epoch [70][1600/2353] lr: 1.389e-02, eta: 22:32:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 2.4217, loss: 2.4217 +2025-05-31 17:29:53,374 - pyskl - INFO - Epoch [70][1700/2353] lr: 1.388e-02, eta: 22:31:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 2.2816, loss: 2.2816 +2025-05-31 17:30:36,353 - pyskl - INFO - Epoch [70][1800/2353] lr: 1.387e-02, eta: 22:31:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9806, loss_cls: 2.4054, loss: 2.4054 +2025-05-31 17:31:19,520 - pyskl - INFO - Epoch [70][1900/2353] lr: 1.386e-02, eta: 22:30:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 2.2195, loss: 2.2195 +2025-05-31 17:32:02,763 - pyskl - INFO - Epoch [70][2000/2353] lr: 1.385e-02, eta: 22:29:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 2.2385, loss: 2.2385 +2025-05-31 17:32:45,768 - pyskl - INFO - Epoch [70][2100/2353] lr: 1.383e-02, eta: 22:29:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9844, loss_cls: 2.3774, loss: 2.3774 +2025-05-31 17:33:28,731 - pyskl - INFO - Epoch [70][2200/2353] lr: 1.382e-02, eta: 22:28:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9900, loss_cls: 2.2956, loss: 2.2956 +2025-05-31 17:34:11,668 - pyskl - INFO - Epoch [70][2300/2353] lr: 1.381e-02, eta: 22:27:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 2.2255, loss: 2.2255 +2025-05-31 17:34:34,928 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-05-31 17:43:28,211 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 17:43:28,285 - pyskl - INFO - +top1_acc 0.9020 +top5_acc 0.9906 +2025-05-31 17:43:28,288 - pyskl - INFO - Epoch(val) [70][1184] top1_acc: 0.9020, top5_acc: 0.9906 +2025-05-31 17:44:31,509 - pyskl - INFO - Epoch [71][100/2353] lr: 1.380e-02, eta: 22:26:27, time: 0.632, data_time: 0.205, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 2.2473, loss: 2.2473 +2025-05-31 17:45:14,348 - pyskl - INFO - Epoch [71][200/2353] lr: 1.378e-02, eta: 22:25:44, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9906, loss_cls: 2.3680, loss: 2.3680 +2025-05-31 17:45:57,280 - pyskl - INFO - Epoch [71][300/2353] lr: 1.377e-02, eta: 22:25:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 2.2909, loss: 2.2909 +2025-05-31 17:46:40,246 - pyskl - INFO - Epoch [71][400/2353] lr: 1.376e-02, eta: 22:24:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 2.2261, loss: 2.2261 +2025-05-31 17:47:23,124 - pyskl - INFO - Epoch [71][500/2353] lr: 1.375e-02, eta: 22:23:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9850, loss_cls: 2.3832, loss: 2.3832 +2025-05-31 17:48:06,000 - pyskl - INFO - Epoch [71][600/2353] lr: 1.374e-02, eta: 22:22:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9944, loss_cls: 2.2916, loss: 2.2916 +2025-05-31 17:48:48,938 - pyskl - INFO - Epoch [71][700/2353] lr: 1.373e-02, eta: 22:22:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 2.3122, loss: 2.3122 +2025-05-31 17:49:31,803 - pyskl - INFO - Epoch [71][800/2353] lr: 1.372e-02, eta: 22:21:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9831, loss_cls: 2.4559, loss: 2.4559 +2025-05-31 17:50:14,627 - pyskl - INFO - Epoch [71][900/2353] lr: 1.371e-02, eta: 22:20:43, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 2.2522, loss: 2.2522 +2025-05-31 17:50:57,334 - pyskl - INFO - Epoch [71][1000/2353] lr: 1.370e-02, eta: 22:20:00, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9819, loss_cls: 2.3515, loss: 2.3515 +2025-05-31 17:51:40,386 - pyskl - INFO - Epoch [71][1100/2353] lr: 1.368e-02, eta: 22:19:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9869, loss_cls: 2.3107, loss: 2.3107 +2025-05-31 17:52:23,420 - pyskl - INFO - Epoch [71][1200/2353] lr: 1.367e-02, eta: 22:18:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 2.2398, loss: 2.2398 +2025-05-31 17:53:06,370 - pyskl - INFO - Epoch [71][1300/2353] lr: 1.366e-02, eta: 22:17:51, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9919, loss_cls: 2.3153, loss: 2.3153 +2025-05-31 17:53:49,279 - pyskl - INFO - Epoch [71][1400/2353] lr: 1.365e-02, eta: 22:17:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9919, loss_cls: 2.3439, loss: 2.3439 +2025-05-31 17:54:32,554 - pyskl - INFO - Epoch [71][1500/2353] lr: 1.364e-02, eta: 22:16:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9888, loss_cls: 2.3544, loss: 2.3544 +2025-05-31 17:55:15,456 - pyskl - INFO - Epoch [71][1600/2353] lr: 1.363e-02, eta: 22:15:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 2.3344, loss: 2.3344 +2025-05-31 17:55:58,616 - pyskl - INFO - Epoch [71][1700/2353] lr: 1.362e-02, eta: 22:15:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 2.3622, loss: 2.3622 +2025-05-31 17:56:41,921 - pyskl - INFO - Epoch [71][1800/2353] lr: 1.361e-02, eta: 22:14:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9825, loss_cls: 2.3164, loss: 2.3164 +2025-05-31 17:57:24,973 - pyskl - INFO - Epoch [71][1900/2353] lr: 1.360e-02, eta: 22:13:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9912, loss_cls: 2.2372, loss: 2.2372 +2025-05-31 17:58:07,941 - pyskl - INFO - Epoch [71][2000/2353] lr: 1.359e-02, eta: 22:12:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 2.4135, loss: 2.4135 +2025-05-31 17:58:50,931 - pyskl - INFO - Epoch [71][2100/2353] lr: 1.357e-02, eta: 22:12:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9894, loss_cls: 2.4176, loss: 2.4176 +2025-05-31 17:59:33,854 - pyskl - INFO - Epoch [71][2200/2353] lr: 1.356e-02, eta: 22:11:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 2.2356, loss: 2.2356 +2025-05-31 18:00:16,765 - pyskl - INFO - Epoch [71][2300/2353] lr: 1.355e-02, eta: 22:10:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 2.4112, loss: 2.4112 +2025-05-31 18:00:40,070 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-05-31 18:02:05,403 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 18:02:05,477 - pyskl - INFO - +top1_acc 0.9086 +top5_acc 0.9909 +2025-05-31 18:02:05,533 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_64.pth was removed +2025-05-31 18:02:06,575 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_71.pth. +2025-05-31 18:02:06,576 - pyskl - INFO - Best top1_acc is 0.9086 at 71 epoch. +2025-05-31 18:02:06,579 - pyskl - INFO - Epoch(val) [71][1184] top1_acc: 0.9086, top5_acc: 0.9909 +2025-05-31 18:03:10,086 - pyskl - INFO - Epoch [72][100/2353] lr: 1.353e-02, eta: 22:09:35, time: 0.635, data_time: 0.206, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 2.3077, loss: 2.3077 +2025-05-31 18:03:53,021 - pyskl - INFO - Epoch [72][200/2353] lr: 1.352e-02, eta: 22:08:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9875, loss_cls: 2.2809, loss: 2.2809 +2025-05-31 18:04:36,060 - pyskl - INFO - Epoch [72][300/2353] lr: 1.351e-02, eta: 22:08:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 2.2489, loss: 2.2489 +2025-05-31 18:05:19,113 - pyskl - INFO - Epoch [72][400/2353] lr: 1.350e-02, eta: 22:07:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9888, loss_cls: 2.2520, loss: 2.2520 +2025-05-31 18:06:02,050 - pyskl - INFO - Epoch [72][500/2353] lr: 1.349e-02, eta: 22:06:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9906, loss_cls: 2.2725, loss: 2.2725 +2025-05-31 18:06:44,985 - pyskl - INFO - Epoch [72][600/2353] lr: 1.348e-02, eta: 22:06:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9806, loss_cls: 2.3777, loss: 2.3777 +2025-05-31 18:07:28,044 - pyskl - INFO - Epoch [72][700/2353] lr: 1.347e-02, eta: 22:05:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 2.3330, loss: 2.3330 +2025-05-31 18:08:11,104 - pyskl - INFO - Epoch [72][800/2353] lr: 1.346e-02, eta: 22:04:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 2.2384, loss: 2.2384 +2025-05-31 18:08:54,109 - pyskl - INFO - Epoch [72][900/2353] lr: 1.345e-02, eta: 22:03:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9925, loss_cls: 2.2755, loss: 2.2755 +2025-05-31 18:09:37,127 - pyskl - INFO - Epoch [72][1000/2353] lr: 1.344e-02, eta: 22:03:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9894, loss_cls: 2.3250, loss: 2.3250 +2025-05-31 18:10:20,100 - pyskl - INFO - Epoch [72][1100/2353] lr: 1.342e-02, eta: 22:02:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9869, loss_cls: 2.2460, loss: 2.2460 +2025-05-31 18:11:03,000 - pyskl - INFO - Epoch [72][1200/2353] lr: 1.341e-02, eta: 22:01:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9912, loss_cls: 2.3476, loss: 2.3476 +2025-05-31 18:11:45,912 - pyskl - INFO - Epoch [72][1300/2353] lr: 1.340e-02, eta: 22:01:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 2.3568, loss: 2.3568 +2025-05-31 18:12:28,850 - pyskl - INFO - Epoch [72][1400/2353] lr: 1.339e-02, eta: 22:00:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 2.3131, loss: 2.3131 +2025-05-31 18:13:11,748 - pyskl - INFO - Epoch [72][1500/2353] lr: 1.338e-02, eta: 21:59:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9850, loss_cls: 2.2663, loss: 2.2663 +2025-05-31 18:13:54,714 - pyskl - INFO - Epoch [72][1600/2353] lr: 1.337e-02, eta: 21:58:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 2.2939, loss: 2.2939 +2025-05-31 18:14:37,784 - pyskl - INFO - Epoch [72][1700/2353] lr: 1.336e-02, eta: 21:58:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 2.2804, loss: 2.2804 +2025-05-31 18:15:20,782 - pyskl - INFO - Epoch [72][1800/2353] lr: 1.335e-02, eta: 21:57:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 2.3927, loss: 2.3927 +2025-05-31 18:16:03,818 - pyskl - INFO - Epoch [72][1900/2353] lr: 1.334e-02, eta: 21:56:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9869, loss_cls: 2.2917, loss: 2.2917 +2025-05-31 18:16:46,823 - pyskl - INFO - Epoch [72][2000/2353] lr: 1.332e-02, eta: 21:56:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 2.2327, loss: 2.2327 +2025-05-31 18:17:29,809 - pyskl - INFO - Epoch [72][2100/2353] lr: 1.331e-02, eta: 21:55:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 2.2579, loss: 2.2579 +2025-05-31 18:18:13,029 - pyskl - INFO - Epoch [72][2200/2353] lr: 1.330e-02, eta: 21:54:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 2.2676, loss: 2.2676 +2025-05-31 18:18:56,160 - pyskl - INFO - Epoch [72][2300/2353] lr: 1.329e-02, eta: 21:53:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 2.2912, loss: 2.2912 +2025-05-31 18:19:19,512 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-05-31 18:20:45,351 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 18:20:45,433 - pyskl - INFO - +top1_acc 0.9048 +top5_acc 0.9908 +2025-05-31 18:20:45,436 - pyskl - INFO - Epoch(val) [72][1184] top1_acc: 0.9048, top5_acc: 0.9908 +2025-05-31 18:21:49,057 - pyskl - INFO - Epoch [73][100/2353] lr: 1.327e-02, eta: 21:52:44, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 2.1132, loss: 2.1132 +2025-05-31 18:22:32,182 - pyskl - INFO - Epoch [73][200/2353] lr: 1.326e-02, eta: 21:52:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 2.2183, loss: 2.2183 +2025-05-31 18:23:15,306 - pyskl - INFO - Epoch [73][300/2353] lr: 1.325e-02, eta: 21:51:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 2.1116, loss: 2.1116 +2025-05-31 18:23:58,370 - pyskl - INFO - Epoch [73][400/2353] lr: 1.324e-02, eta: 21:50:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9856, loss_cls: 2.2482, loss: 2.2482 +2025-05-31 18:24:41,485 - pyskl - INFO - Epoch [73][500/2353] lr: 1.323e-02, eta: 21:49:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 2.2013, loss: 2.2013 +2025-05-31 18:25:24,487 - pyskl - INFO - Epoch [73][600/2353] lr: 1.322e-02, eta: 21:49:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 2.1990, loss: 2.1990 +2025-05-31 18:26:07,562 - pyskl - INFO - Epoch [73][700/2353] lr: 1.321e-02, eta: 21:48:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 2.2511, loss: 2.2511 +2025-05-31 18:26:50,505 - pyskl - INFO - Epoch [73][800/2353] lr: 1.320e-02, eta: 21:47:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.1860, loss: 2.1860 +2025-05-31 18:27:33,537 - pyskl - INFO - Epoch [73][900/2353] lr: 1.319e-02, eta: 21:47:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 2.2839, loss: 2.2839 +2025-05-31 18:28:16,654 - pyskl - INFO - Epoch [73][1000/2353] lr: 1.317e-02, eta: 21:46:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 2.2374, loss: 2.2374 +2025-05-31 18:28:59,684 - pyskl - INFO - Epoch [73][1100/2353] lr: 1.316e-02, eta: 21:45:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 2.3180, loss: 2.3180 +2025-05-31 18:29:42,762 - pyskl - INFO - Epoch [73][1200/2353] lr: 1.315e-02, eta: 21:44:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 2.3272, loss: 2.3272 +2025-05-31 18:30:25,817 - pyskl - INFO - Epoch [73][1300/2353] lr: 1.314e-02, eta: 21:44:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 2.2921, loss: 2.2921 +2025-05-31 18:31:08,801 - pyskl - INFO - Epoch [73][1400/2353] lr: 1.313e-02, eta: 21:43:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 2.2174, loss: 2.2174 +2025-05-31 18:31:51,992 - pyskl - INFO - Epoch [73][1500/2353] lr: 1.312e-02, eta: 21:42:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 2.2737, loss: 2.2737 +2025-05-31 18:32:34,918 - pyskl - INFO - Epoch [73][1600/2353] lr: 1.311e-02, eta: 21:42:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 2.2852, loss: 2.2852 +2025-05-31 18:33:17,861 - pyskl - INFO - Epoch [73][1700/2353] lr: 1.310e-02, eta: 21:41:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9900, loss_cls: 2.3566, loss: 2.3566 +2025-05-31 18:34:00,745 - pyskl - INFO - Epoch [73][1800/2353] lr: 1.309e-02, eta: 21:40:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9900, loss_cls: 2.3292, loss: 2.3292 +2025-05-31 18:34:43,860 - pyskl - INFO - Epoch [73][1900/2353] lr: 1.307e-02, eta: 21:39:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 2.4049, loss: 2.4049 +2025-05-31 18:35:27,012 - pyskl - INFO - Epoch [73][2000/2353] lr: 1.306e-02, eta: 21:39:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9831, loss_cls: 2.2899, loss: 2.2899 +2025-05-31 18:36:09,835 - pyskl - INFO - Epoch [73][2100/2353] lr: 1.305e-02, eta: 21:38:27, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 2.3234, loss: 2.3234 +2025-05-31 18:36:52,726 - pyskl - INFO - Epoch [73][2200/2353] lr: 1.304e-02, eta: 21:37:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 2.4199, loss: 2.4199 +2025-05-31 18:37:35,833 - pyskl - INFO - Epoch [73][2300/2353] lr: 1.303e-02, eta: 21:37:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9888, loss_cls: 2.3458, loss: 2.3458 +2025-05-31 18:37:59,303 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-05-31 18:39:24,957 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 18:39:25,030 - pyskl - INFO - +top1_acc 0.8933 +top5_acc 0.9909 +2025-05-31 18:39:25,034 - pyskl - INFO - Epoch(val) [73][1184] top1_acc: 0.8933, top5_acc: 0.9909 +2025-05-31 18:40:28,675 - pyskl - INFO - Epoch [74][100/2353] lr: 1.301e-02, eta: 21:35:53, time: 0.636, data_time: 0.207, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9919, loss_cls: 2.2551, loss: 2.2551 +2025-05-31 18:41:11,586 - pyskl - INFO - Epoch [74][200/2353] lr: 1.300e-02, eta: 21:35:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 2.1993, loss: 2.1993 +2025-05-31 18:41:54,494 - pyskl - INFO - Epoch [74][300/2353] lr: 1.299e-02, eta: 21:34:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 2.1496, loss: 2.1496 +2025-05-31 18:42:37,439 - pyskl - INFO - Epoch [74][400/2353] lr: 1.298e-02, eta: 21:33:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9888, loss_cls: 2.2969, loss: 2.2969 +2025-05-31 18:43:20,389 - pyskl - INFO - Epoch [74][500/2353] lr: 1.297e-02, eta: 21:33:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9869, loss_cls: 2.2065, loss: 2.2065 +2025-05-31 18:44:03,257 - pyskl - INFO - Epoch [74][600/2353] lr: 1.296e-02, eta: 21:32:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 2.2249, loss: 2.2249 +2025-05-31 18:44:46,037 - pyskl - INFO - Epoch [74][700/2353] lr: 1.295e-02, eta: 21:31:35, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 2.2479, loss: 2.2479 +2025-05-31 18:45:29,035 - pyskl - INFO - Epoch [74][800/2353] lr: 1.293e-02, eta: 21:30:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9888, loss_cls: 2.2309, loss: 2.2309 +2025-05-31 18:46:12,110 - pyskl - INFO - Epoch [74][900/2353] lr: 1.292e-02, eta: 21:30:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9900, loss_cls: 2.2633, loss: 2.2633 +2025-05-31 18:46:55,042 - pyskl - INFO - Epoch [74][1000/2353] lr: 1.291e-02, eta: 21:29:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 2.3520, loss: 2.3520 +2025-05-31 18:47:38,059 - pyskl - INFO - Epoch [74][1100/2353] lr: 1.290e-02, eta: 21:28:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9919, loss_cls: 2.2864, loss: 2.2864 +2025-05-31 18:48:21,023 - pyskl - INFO - Epoch [74][1200/2353] lr: 1.289e-02, eta: 21:28:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 2.2420, loss: 2.2420 +2025-05-31 18:49:04,023 - pyskl - INFO - Epoch [74][1300/2353] lr: 1.288e-02, eta: 21:27:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 2.2523, loss: 2.2523 +2025-05-31 18:49:47,048 - pyskl - INFO - Epoch [74][1400/2353] lr: 1.287e-02, eta: 21:26:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9919, loss_cls: 2.2800, loss: 2.2800 +2025-05-31 18:50:30,062 - pyskl - INFO - Epoch [74][1500/2353] lr: 1.286e-02, eta: 21:25:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9862, loss_cls: 2.1861, loss: 2.1861 +2025-05-31 18:51:13,092 - pyskl - INFO - Epoch [74][1600/2353] lr: 1.285e-02, eta: 21:25:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9850, loss_cls: 2.3294, loss: 2.3294 +2025-05-31 18:51:56,304 - pyskl - INFO - Epoch [74][1700/2353] lr: 1.283e-02, eta: 21:24:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 2.2613, loss: 2.2613 +2025-05-31 18:52:39,489 - pyskl - INFO - Epoch [74][1800/2353] lr: 1.282e-02, eta: 21:23:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9844, loss_cls: 2.2631, loss: 2.2631 +2025-05-31 18:53:22,636 - pyskl - INFO - Epoch [74][1900/2353] lr: 1.281e-02, eta: 21:23:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9844, loss_cls: 2.3447, loss: 2.3447 +2025-05-31 18:54:05,595 - pyskl - INFO - Epoch [74][2000/2353] lr: 1.280e-02, eta: 21:22:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9800, loss_cls: 2.3492, loss: 2.3492 +2025-05-31 18:54:48,539 - pyskl - INFO - Epoch [74][2100/2353] lr: 1.279e-02, eta: 21:21:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 2.3120, loss: 2.3120 +2025-05-31 18:55:31,413 - pyskl - INFO - Epoch [74][2200/2353] lr: 1.278e-02, eta: 21:20:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 2.3828, loss: 2.3828 +2025-05-31 18:56:14,383 - pyskl - INFO - Epoch [74][2300/2353] lr: 1.277e-02, eta: 21:20:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 2.3254, loss: 2.3254 +2025-05-31 18:56:37,786 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-05-31 18:58:03,939 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 18:58:04,014 - pyskl - INFO - +top1_acc 0.9139 +top5_acc 0.9913 +2025-05-31 18:58:04,071 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_71.pth was removed +2025-05-31 18:58:05,115 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_74.pth. +2025-05-31 18:58:05,115 - pyskl - INFO - Best top1_acc is 0.9139 at 74 epoch. +2025-05-31 18:58:05,118 - pyskl - INFO - Epoch(val) [74][1184] top1_acc: 0.9139, top5_acc: 0.9913 +2025-05-31 18:59:08,569 - pyskl - INFO - Epoch [75][100/2353] lr: 1.275e-02, eta: 21:19:02, time: 0.634, data_time: 0.205, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 2.0958, loss: 2.0958 +2025-05-31 18:59:51,418 - pyskl - INFO - Epoch [75][200/2353] lr: 1.274e-02, eta: 21:18:19, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 2.2750, loss: 2.2750 +2025-05-31 19:00:34,055 - pyskl - INFO - Epoch [75][300/2353] lr: 1.273e-02, eta: 21:17:35, time: 0.426, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 2.2553, loss: 2.2553 +2025-05-31 19:01:17,082 - pyskl - INFO - Epoch [75][400/2353] lr: 1.272e-02, eta: 21:16:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 2.2576, loss: 2.2576 +2025-05-31 19:02:00,060 - pyskl - INFO - Epoch [75][500/2353] lr: 1.271e-02, eta: 21:16:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9869, loss_cls: 2.2521, loss: 2.2521 +2025-05-31 19:02:43,001 - pyskl - INFO - Epoch [75][600/2353] lr: 1.270e-02, eta: 21:15:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 2.1984, loss: 2.1984 +2025-05-31 19:03:26,044 - pyskl - INFO - Epoch [75][700/2353] lr: 1.268e-02, eta: 21:14:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 2.2657, loss: 2.2657 +2025-05-31 19:04:09,257 - pyskl - INFO - Epoch [75][800/2353] lr: 1.267e-02, eta: 21:14:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 2.1442, loss: 2.1442 +2025-05-31 19:04:52,386 - pyskl - INFO - Epoch [75][900/2353] lr: 1.266e-02, eta: 21:13:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9844, loss_cls: 2.2241, loss: 2.2241 +2025-05-31 19:05:35,353 - pyskl - INFO - Epoch [75][1000/2353] lr: 1.265e-02, eta: 21:12:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 2.1816, loss: 2.1816 +2025-05-31 19:06:18,384 - pyskl - INFO - Epoch [75][1100/2353] lr: 1.264e-02, eta: 21:11:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 2.2364, loss: 2.2364 +2025-05-31 19:07:01,132 - pyskl - INFO - Epoch [75][1200/2353] lr: 1.263e-02, eta: 21:11:10, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9875, loss_cls: 2.1882, loss: 2.1882 +2025-05-31 19:07:43,945 - pyskl - INFO - Epoch [75][1300/2353] lr: 1.262e-02, eta: 21:10:27, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 2.3356, loss: 2.3356 +2025-05-31 19:08:26,797 - pyskl - INFO - Epoch [75][1400/2353] lr: 1.261e-02, eta: 21:09:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9856, loss_cls: 2.2731, loss: 2.2731 +2025-05-31 19:09:09,644 - pyskl - INFO - Epoch [75][1500/2353] lr: 1.260e-02, eta: 21:09:00, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 2.3181, loss: 2.3181 +2025-05-31 19:09:52,523 - pyskl - INFO - Epoch [75][1600/2353] lr: 1.258e-02, eta: 21:08:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 2.3313, loss: 2.3313 +2025-05-31 19:10:35,547 - pyskl - INFO - Epoch [75][1700/2353] lr: 1.257e-02, eta: 21:07:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 2.2956, loss: 2.2956 +2025-05-31 19:11:18,789 - pyskl - INFO - Epoch [75][1800/2353] lr: 1.256e-02, eta: 21:06:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 2.1961, loss: 2.1961 +2025-05-31 19:12:01,862 - pyskl - INFO - Epoch [75][1900/2353] lr: 1.255e-02, eta: 21:06:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 2.1959, loss: 2.1959 +2025-05-31 19:12:44,869 - pyskl - INFO - Epoch [75][2000/2353] lr: 1.254e-02, eta: 21:05:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 2.3581, loss: 2.3581 +2025-05-31 19:13:27,792 - pyskl - INFO - Epoch [75][2100/2353] lr: 1.253e-02, eta: 21:04:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 2.3180, loss: 2.3180 +2025-05-31 19:14:10,752 - pyskl - INFO - Epoch [75][2200/2353] lr: 1.252e-02, eta: 21:04:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9844, loss_cls: 2.3439, loss: 2.3439 +2025-05-31 19:14:53,671 - pyskl - INFO - Epoch [75][2300/2353] lr: 1.251e-02, eta: 21:03:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 2.3359, loss: 2.3359 +2025-05-31 19:15:16,961 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-05-31 19:24:07,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 19:24:07,575 - pyskl - INFO - +top1_acc 0.9090 +top5_acc 0.9927 +2025-05-31 19:24:07,578 - pyskl - INFO - Epoch(val) [75][1184] top1_acc: 0.9090, top5_acc: 0.9927 +2025-05-31 19:25:11,385 - pyskl - INFO - Epoch [76][100/2353] lr: 1.249e-02, eta: 21:02:10, time: 0.638, data_time: 0.207, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 2.2087, loss: 2.2087 +2025-05-31 19:25:54,250 - pyskl - INFO - Epoch [76][200/2353] lr: 1.248e-02, eta: 21:01:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9862, loss_cls: 2.1982, loss: 2.1982 +2025-05-31 19:26:37,125 - pyskl - INFO - Epoch [76][300/2353] lr: 1.247e-02, eta: 21:00:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 2.1751, loss: 2.1751 +2025-05-31 19:27:20,030 - pyskl - INFO - Epoch [76][400/2353] lr: 1.246e-02, eta: 21:00:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9925, loss_cls: 2.2358, loss: 2.2358 +2025-05-31 19:28:02,986 - pyskl - INFO - Epoch [76][500/2353] lr: 1.244e-02, eta: 20:59:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 2.1654, loss: 2.1654 +2025-05-31 19:28:45,881 - pyskl - INFO - Epoch [76][600/2353] lr: 1.243e-02, eta: 20:58:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 2.1970, loss: 2.1970 +2025-05-31 19:29:28,918 - pyskl - INFO - Epoch [76][700/2353] lr: 1.242e-02, eta: 20:57:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9888, loss_cls: 2.2408, loss: 2.2408 +2025-05-31 19:30:11,950 - pyskl - INFO - Epoch [76][800/2353] lr: 1.241e-02, eta: 20:57:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9869, loss_cls: 2.2800, loss: 2.2800 +2025-05-31 19:30:54,858 - pyskl - INFO - Epoch [76][900/2353] lr: 1.240e-02, eta: 20:56:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 2.2149, loss: 2.2149 +2025-05-31 19:31:37,750 - pyskl - INFO - Epoch [76][1000/2353] lr: 1.239e-02, eta: 20:55:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9894, loss_cls: 2.2211, loss: 2.2211 +2025-05-31 19:32:20,596 - pyskl - INFO - Epoch [76][1100/2353] lr: 1.238e-02, eta: 20:55:00, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 2.2330, loss: 2.2330 +2025-05-31 19:33:03,449 - pyskl - INFO - Epoch [76][1200/2353] lr: 1.237e-02, eta: 20:54:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 2.1969, loss: 2.1969 +2025-05-31 19:33:46,395 - pyskl - INFO - Epoch [76][1300/2353] lr: 1.236e-02, eta: 20:53:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 2.1995, loss: 2.1995 +2025-05-31 19:34:29,348 - pyskl - INFO - Epoch [76][1400/2353] lr: 1.234e-02, eta: 20:52:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 2.3236, loss: 2.3236 +2025-05-31 19:35:12,325 - pyskl - INFO - Epoch [76][1500/2353] lr: 1.233e-02, eta: 20:52:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9831, loss_cls: 2.3750, loss: 2.3750 +2025-05-31 19:35:55,283 - pyskl - INFO - Epoch [76][1600/2353] lr: 1.232e-02, eta: 20:51:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9906, loss_cls: 2.2393, loss: 2.2393 +2025-05-31 19:36:38,129 - pyskl - INFO - Epoch [76][1700/2353] lr: 1.231e-02, eta: 20:50:43, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 2.1453, loss: 2.1453 +2025-05-31 19:37:21,265 - pyskl - INFO - Epoch [76][1800/2353] lr: 1.230e-02, eta: 20:50:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 2.1468, loss: 2.1468 +2025-05-31 19:38:04,497 - pyskl - INFO - Epoch [76][1900/2353] lr: 1.229e-02, eta: 20:49:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 2.2234, loss: 2.2234 +2025-05-31 19:38:47,644 - pyskl - INFO - Epoch [76][2000/2353] lr: 1.228e-02, eta: 20:48:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9881, loss_cls: 2.3673, loss: 2.3673 +2025-05-31 19:39:30,782 - pyskl - INFO - Epoch [76][2100/2353] lr: 1.227e-02, eta: 20:47:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 2.2341, loss: 2.2341 +2025-05-31 19:40:13,901 - pyskl - INFO - Epoch [76][2200/2353] lr: 1.226e-02, eta: 20:47:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 2.3079, loss: 2.3079 +2025-05-31 19:40:56,984 - pyskl - INFO - Epoch [76][2300/2353] lr: 1.224e-02, eta: 20:46:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 2.2996, loss: 2.2996 +2025-05-31 19:41:20,235 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-05-31 19:42:45,788 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 19:42:45,862 - pyskl - INFO - +top1_acc 0.8932 +top5_acc 0.9908 +2025-05-31 19:42:45,865 - pyskl - INFO - Epoch(val) [76][1184] top1_acc: 0.8932, top5_acc: 0.9908 +2025-05-31 19:43:49,689 - pyskl - INFO - Epoch [77][100/2353] lr: 1.223e-02, eta: 20:45:19, time: 0.638, data_time: 0.209, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 2.1847, loss: 2.1847 +2025-05-31 19:44:32,585 - pyskl - INFO - Epoch [77][200/2353] lr: 1.222e-02, eta: 20:44:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 2.2032, loss: 2.2032 +2025-05-31 19:45:15,508 - pyskl - INFO - Epoch [77][300/2353] lr: 1.220e-02, eta: 20:43:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.1378, loss: 2.1378 +2025-05-31 19:45:58,442 - pyskl - INFO - Epoch [77][400/2353] lr: 1.219e-02, eta: 20:43:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9856, loss_cls: 2.2704, loss: 2.2704 +2025-05-31 19:46:41,424 - pyskl - INFO - Epoch [77][500/2353] lr: 1.218e-02, eta: 20:42:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 2.2609, loss: 2.2609 +2025-05-31 19:47:24,413 - pyskl - INFO - Epoch [77][600/2353] lr: 1.217e-02, eta: 20:41:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 2.2525, loss: 2.2525 +2025-05-31 19:48:07,417 - pyskl - INFO - Epoch [77][700/2353] lr: 1.216e-02, eta: 20:41:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9862, loss_cls: 2.2027, loss: 2.2027 +2025-05-31 19:48:50,415 - pyskl - INFO - Epoch [77][800/2353] lr: 1.215e-02, eta: 20:40:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9862, loss_cls: 2.2932, loss: 2.2932 +2025-05-31 19:49:33,422 - pyskl - INFO - Epoch [77][900/2353] lr: 1.214e-02, eta: 20:39:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 2.2016, loss: 2.2016 +2025-05-31 19:50:16,460 - pyskl - INFO - Epoch [77][1000/2353] lr: 1.213e-02, eta: 20:38:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 2.0640, loss: 2.0640 +2025-05-31 19:50:59,443 - pyskl - INFO - Epoch [77][1100/2353] lr: 1.212e-02, eta: 20:38:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9906, loss_cls: 2.2259, loss: 2.2259 +2025-05-31 19:51:42,398 - pyskl - INFO - Epoch [77][1200/2353] lr: 1.210e-02, eta: 20:37:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 2.0654, loss: 2.0654 +2025-05-31 19:52:25,391 - pyskl - INFO - Epoch [77][1300/2353] lr: 1.209e-02, eta: 20:36:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 2.2645, loss: 2.2645 +2025-05-31 19:53:08,434 - pyskl - INFO - Epoch [77][1400/2353] lr: 1.208e-02, eta: 20:36:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9844, loss_cls: 2.2177, loss: 2.2177 +2025-05-31 19:53:51,501 - pyskl - INFO - Epoch [77][1500/2353] lr: 1.207e-02, eta: 20:35:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9944, loss_cls: 2.1871, loss: 2.1871 +2025-05-31 19:54:34,449 - pyskl - INFO - Epoch [77][1600/2353] lr: 1.206e-02, eta: 20:34:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9856, loss_cls: 2.2483, loss: 2.2483 +2025-05-31 19:55:17,303 - pyskl - INFO - Epoch [77][1700/2353] lr: 1.205e-02, eta: 20:33:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 2.2051, loss: 2.2051 +2025-05-31 19:56:00,306 - pyskl - INFO - Epoch [77][1800/2353] lr: 1.204e-02, eta: 20:33:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9900, loss_cls: 2.2967, loss: 2.2967 +2025-05-31 19:56:43,294 - pyskl - INFO - Epoch [77][1900/2353] lr: 1.203e-02, eta: 20:32:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9869, loss_cls: 2.2590, loss: 2.2590 +2025-05-31 19:57:26,429 - pyskl - INFO - Epoch [77][2000/2353] lr: 1.202e-02, eta: 20:31:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 2.2802, loss: 2.2802 +2025-05-31 19:58:09,385 - pyskl - INFO - Epoch [77][2100/2353] lr: 1.200e-02, eta: 20:31:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 2.1707, loss: 2.1707 +2025-05-31 19:58:52,326 - pyskl - INFO - Epoch [77][2200/2353] lr: 1.199e-02, eta: 20:30:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 2.2580, loss: 2.2580 +2025-05-31 19:59:35,237 - pyskl - INFO - Epoch [77][2300/2353] lr: 1.198e-02, eta: 20:29:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 2.2275, loss: 2.2275 +2025-05-31 19:59:58,554 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-05-31 20:01:24,129 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 20:01:24,204 - pyskl - INFO - +top1_acc 0.8980 +top5_acc 0.9896 +2025-05-31 20:01:24,207 - pyskl - INFO - Epoch(val) [77][1184] top1_acc: 0.8980, top5_acc: 0.9896 +2025-05-31 20:02:27,558 - pyskl - INFO - Epoch [78][100/2353] lr: 1.197e-02, eta: 20:28:27, time: 0.633, data_time: 0.205, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 2.1828, loss: 2.1828 +2025-05-31 20:03:10,474 - pyskl - INFO - Epoch [78][200/2353] lr: 1.195e-02, eta: 20:27:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 2.1464, loss: 2.1464 +2025-05-31 20:03:53,466 - pyskl - INFO - Epoch [78][300/2353] lr: 1.194e-02, eta: 20:27:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 2.1536, loss: 2.1536 +2025-05-31 20:04:36,456 - pyskl - INFO - Epoch [78][400/2353] lr: 1.193e-02, eta: 20:26:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 2.1932, loss: 2.1932 +2025-05-31 20:05:19,382 - pyskl - INFO - Epoch [78][500/2353] lr: 1.192e-02, eta: 20:25:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9862, loss_cls: 2.1335, loss: 2.1335 +2025-05-31 20:06:02,421 - pyskl - INFO - Epoch [78][600/2353] lr: 1.191e-02, eta: 20:24:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9894, loss_cls: 2.1118, loss: 2.1118 +2025-05-31 20:06:45,353 - pyskl - INFO - Epoch [78][700/2353] lr: 1.190e-02, eta: 20:24:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9906, loss_cls: 2.2372, loss: 2.2372 +2025-05-31 20:07:28,361 - pyskl - INFO - Epoch [78][800/2353] lr: 1.189e-02, eta: 20:23:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9862, loss_cls: 2.2005, loss: 2.2005 +2025-05-31 20:08:11,517 - pyskl - INFO - Epoch [78][900/2353] lr: 1.188e-02, eta: 20:22:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 2.2184, loss: 2.2184 +2025-05-31 20:08:54,664 - pyskl - INFO - Epoch [78][1000/2353] lr: 1.187e-02, eta: 20:22:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 2.1621, loss: 2.1621 +2025-05-31 20:09:37,673 - pyskl - INFO - Epoch [78][1100/2353] lr: 1.185e-02, eta: 20:21:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 2.1303, loss: 2.1303 +2025-05-31 20:10:20,645 - pyskl - INFO - Epoch [78][1200/2353] lr: 1.184e-02, eta: 20:20:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9906, loss_cls: 2.1721, loss: 2.1721 +2025-05-31 20:11:03,725 - pyskl - INFO - Epoch [78][1300/2353] lr: 1.183e-02, eta: 20:19:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 2.1973, loss: 2.1973 +2025-05-31 20:11:46,710 - pyskl - INFO - Epoch [78][1400/2353] lr: 1.182e-02, eta: 20:19:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 2.2306, loss: 2.2306 +2025-05-31 20:12:29,588 - pyskl - INFO - Epoch [78][1500/2353] lr: 1.181e-02, eta: 20:18:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 2.1661, loss: 2.1661 +2025-05-31 20:13:12,582 - pyskl - INFO - Epoch [78][1600/2353] lr: 1.180e-02, eta: 20:17:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9869, loss_cls: 2.2470, loss: 2.2470 +2025-05-31 20:13:55,670 - pyskl - INFO - Epoch [78][1700/2353] lr: 1.179e-02, eta: 20:17:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9850, loss_cls: 2.2484, loss: 2.2484 +2025-05-31 20:14:38,830 - pyskl - INFO - Epoch [78][1800/2353] lr: 1.178e-02, eta: 20:16:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 2.3102, loss: 2.3102 +2025-05-31 20:15:21,858 - pyskl - INFO - Epoch [78][1900/2353] lr: 1.177e-02, eta: 20:15:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9850, loss_cls: 2.2615, loss: 2.2615 +2025-05-31 20:16:04,888 - pyskl - INFO - Epoch [78][2000/2353] lr: 1.175e-02, eta: 20:14:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9831, loss_cls: 2.2628, loss: 2.2628 +2025-05-31 20:16:47,889 - pyskl - INFO - Epoch [78][2100/2353] lr: 1.174e-02, eta: 20:14:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.2286, loss: 2.2286 +2025-05-31 20:17:30,893 - pyskl - INFO - Epoch [78][2200/2353] lr: 1.173e-02, eta: 20:13:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 2.2133, loss: 2.2133 +2025-05-31 20:18:13,881 - pyskl - INFO - Epoch [78][2300/2353] lr: 1.172e-02, eta: 20:12:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9900, loss_cls: 2.1122, loss: 2.1122 +2025-05-31 20:18:37,269 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-05-31 20:20:02,725 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 20:20:02,799 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9907 +2025-05-31 20:20:02,802 - pyskl - INFO - Epoch(val) [78][1184] top1_acc: 0.9042, top5_acc: 0.9907 +2025-05-31 20:21:06,959 - pyskl - INFO - Epoch [79][100/2353] lr: 1.170e-02, eta: 20:11:37, time: 0.642, data_time: 0.206, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 2.0216, loss: 2.0216 +2025-05-31 20:21:50,173 - pyskl - INFO - Epoch [79][200/2353] lr: 1.169e-02, eta: 20:10:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 2.0460, loss: 2.0460 +2025-05-31 20:22:33,267 - pyskl - INFO - Epoch [79][300/2353] lr: 1.168e-02, eta: 20:10:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9950, loss_cls: 2.0758, loss: 2.0758 +2025-05-31 20:23:16,311 - pyskl - INFO - Epoch [79][400/2353] lr: 1.167e-02, eta: 20:09:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 2.2045, loss: 2.2045 +2025-05-31 20:23:59,305 - pyskl - INFO - Epoch [79][500/2353] lr: 1.166e-02, eta: 20:08:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 2.1086, loss: 2.1086 +2025-05-31 20:24:42,272 - pyskl - INFO - Epoch [79][600/2353] lr: 1.165e-02, eta: 20:08:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 2.1224, loss: 2.1224 +2025-05-31 20:25:25,650 - pyskl - INFO - Epoch [79][700/2353] lr: 1.164e-02, eta: 20:07:20, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 2.1764, loss: 2.1764 +2025-05-31 20:26:08,837 - pyskl - INFO - Epoch [79][800/2353] lr: 1.163e-02, eta: 20:06:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 2.2983, loss: 2.2983 +2025-05-31 20:26:52,016 - pyskl - INFO - Epoch [79][900/2353] lr: 1.162e-02, eta: 20:05:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 2.1602, loss: 2.1602 +2025-05-31 20:27:35,101 - pyskl - INFO - Epoch [79][1000/2353] lr: 1.160e-02, eta: 20:05:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 2.1490, loss: 2.1490 +2025-05-31 20:28:18,074 - pyskl - INFO - Epoch [79][1100/2353] lr: 1.159e-02, eta: 20:04:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 2.2817, loss: 2.2817 +2025-05-31 20:29:01,065 - pyskl - INFO - Epoch [79][1200/2353] lr: 1.158e-02, eta: 20:03:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 2.1687, loss: 2.1687 +2025-05-31 20:29:44,056 - pyskl - INFO - Epoch [79][1300/2353] lr: 1.157e-02, eta: 20:03:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 2.1767, loss: 2.1767 +2025-05-31 20:30:27,014 - pyskl - INFO - Epoch [79][1400/2353] lr: 1.156e-02, eta: 20:02:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9925, loss_cls: 2.1740, loss: 2.1740 +2025-05-31 20:31:10,125 - pyskl - INFO - Epoch [79][1500/2353] lr: 1.155e-02, eta: 20:01:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9956, loss_cls: 2.2037, loss: 2.2037 +2025-05-31 20:31:53,193 - pyskl - INFO - Epoch [79][1600/2353] lr: 1.154e-02, eta: 20:00:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 2.2326, loss: 2.2326 +2025-05-31 20:32:36,089 - pyskl - INFO - Epoch [79][1700/2353] lr: 1.153e-02, eta: 20:00:12, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 2.2156, loss: 2.2156 +2025-05-31 20:33:19,002 - pyskl - INFO - Epoch [79][1800/2353] lr: 1.152e-02, eta: 19:59:29, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9850, loss_cls: 2.1595, loss: 2.1595 +2025-05-31 20:34:02,137 - pyskl - INFO - Epoch [79][1900/2353] lr: 1.150e-02, eta: 19:58:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 2.0761, loss: 2.0761 +2025-05-31 20:34:45,381 - pyskl - INFO - Epoch [79][2000/2353] lr: 1.149e-02, eta: 19:58:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 2.1987, loss: 2.1987 +2025-05-31 20:35:28,442 - pyskl - INFO - Epoch [79][2100/2353] lr: 1.148e-02, eta: 19:57:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 2.3234, loss: 2.3234 +2025-05-31 20:36:11,357 - pyskl - INFO - Epoch [79][2200/2353] lr: 1.147e-02, eta: 19:56:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 2.1757, loss: 2.1757 +2025-05-31 20:36:54,278 - pyskl - INFO - Epoch [79][2300/2353] lr: 1.146e-02, eta: 19:55:55, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9894, loss_cls: 2.2923, loss: 2.2923 +2025-05-31 20:37:17,661 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-05-31 20:38:43,204 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 20:38:43,282 - pyskl - INFO - +top1_acc 0.9023 +top5_acc 0.9903 +2025-05-31 20:38:43,285 - pyskl - INFO - Epoch(val) [79][1184] top1_acc: 0.9023, top5_acc: 0.9903 +2025-05-31 20:39:46,880 - pyskl - INFO - Epoch [80][100/2353] lr: 1.144e-02, eta: 19:54:47, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 2.1289, loss: 2.1289 +2025-05-31 20:40:29,931 - pyskl - INFO - Epoch [80][200/2353] lr: 1.143e-02, eta: 19:54:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 2.2352, loss: 2.2352 +2025-05-31 20:41:13,126 - pyskl - INFO - Epoch [80][300/2353] lr: 1.142e-02, eta: 19:53:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9881, loss_cls: 2.0917, loss: 2.0917 +2025-05-31 20:41:56,326 - pyskl - INFO - Epoch [80][400/2353] lr: 1.141e-02, eta: 19:52:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9944, loss_cls: 2.1492, loss: 2.1492 +2025-05-31 20:42:39,302 - pyskl - INFO - Epoch [80][500/2353] lr: 1.140e-02, eta: 19:51:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9969, loss_cls: 2.1089, loss: 2.1089 +2025-05-31 20:43:22,218 - pyskl - INFO - Epoch [80][600/2353] lr: 1.139e-02, eta: 19:51:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 2.1164, loss: 2.1164 +2025-05-31 20:44:05,248 - pyskl - INFO - Epoch [80][700/2353] lr: 1.138e-02, eta: 19:50:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9881, loss_cls: 2.1950, loss: 2.1950 +2025-05-31 20:44:48,324 - pyskl - INFO - Epoch [80][800/2353] lr: 1.137e-02, eta: 19:49:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 2.1852, loss: 2.1852 +2025-05-31 20:45:31,364 - pyskl - INFO - Epoch [80][900/2353] lr: 1.135e-02, eta: 19:49:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 2.1547, loss: 2.1547 +2025-05-31 20:46:14,469 - pyskl - INFO - Epoch [80][1000/2353] lr: 1.134e-02, eta: 19:48:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 2.0877, loss: 2.0877 +2025-05-31 20:46:57,566 - pyskl - INFO - Epoch [80][1100/2353] lr: 1.133e-02, eta: 19:47:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 2.1436, loss: 2.1436 +2025-05-31 20:47:40,727 - pyskl - INFO - Epoch [80][1200/2353] lr: 1.132e-02, eta: 19:46:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9850, loss_cls: 2.2262, loss: 2.2262 +2025-05-31 20:48:23,820 - pyskl - INFO - Epoch [80][1300/2353] lr: 1.131e-02, eta: 19:46:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.1874, loss: 2.1874 +2025-05-31 20:49:06,926 - pyskl - INFO - Epoch [80][1400/2353] lr: 1.130e-02, eta: 19:45:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 2.1563, loss: 2.1563 +2025-05-31 20:49:49,990 - pyskl - INFO - Epoch [80][1500/2353] lr: 1.129e-02, eta: 19:44:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 2.2625, loss: 2.2625 +2025-05-31 20:50:32,953 - pyskl - INFO - Epoch [80][1600/2353] lr: 1.128e-02, eta: 19:44:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 2.1932, loss: 2.1932 +2025-05-31 20:51:15,916 - pyskl - INFO - Epoch [80][1700/2353] lr: 1.127e-02, eta: 19:43:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 2.2635, loss: 2.2635 +2025-05-31 20:51:58,851 - pyskl - INFO - Epoch [80][1800/2353] lr: 1.125e-02, eta: 19:42:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 2.1645, loss: 2.1645 +2025-05-31 20:52:42,362 - pyskl - INFO - Epoch [80][1900/2353] lr: 1.124e-02, eta: 19:41:57, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9919, loss_cls: 2.2225, loss: 2.2225 +2025-05-31 20:53:25,904 - pyskl - INFO - Epoch [80][2000/2353] lr: 1.123e-02, eta: 19:41:14, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 2.2291, loss: 2.2291 +2025-05-31 20:54:09,018 - pyskl - INFO - Epoch [80][2100/2353] lr: 1.122e-02, eta: 19:40:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9844, loss_cls: 2.1389, loss: 2.1389 +2025-05-31 20:54:52,101 - pyskl - INFO - Epoch [80][2200/2353] lr: 1.121e-02, eta: 19:39:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 2.1595, loss: 2.1595 +2025-05-31 20:55:35,129 - pyskl - INFO - Epoch [80][2300/2353] lr: 1.120e-02, eta: 19:39:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 2.1947, loss: 2.1947 +2025-05-31 20:55:58,623 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-05-31 21:04:56,167 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 21:04:56,243 - pyskl - INFO - +top1_acc 0.9052 +top5_acc 0.9926 +2025-05-31 21:04:56,246 - pyskl - INFO - Epoch(val) [80][1184] top1_acc: 0.9052, top5_acc: 0.9926 +2025-05-31 21:05:59,291 - pyskl - INFO - Epoch [81][100/2353] lr: 1.118e-02, eta: 19:37:58, time: 0.630, data_time: 0.202, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9969, loss_cls: 2.0871, loss: 2.0871 +2025-05-31 21:06:42,175 - pyskl - INFO - Epoch [81][200/2353] lr: 1.117e-02, eta: 19:37:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 2.1419, loss: 2.1419 +2025-05-31 21:07:25,097 - pyskl - INFO - Epoch [81][300/2353] lr: 1.116e-02, eta: 19:36:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 2.0564, loss: 2.0564 +2025-05-31 21:08:08,009 - pyskl - INFO - Epoch [81][400/2353] lr: 1.115e-02, eta: 19:35:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 2.0537, loss: 2.0537 +2025-05-31 21:08:51,018 - pyskl - INFO - Epoch [81][500/2353] lr: 1.114e-02, eta: 19:35:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 2.2526, loss: 2.2526 +2025-05-31 21:09:33,976 - pyskl - INFO - Epoch [81][600/2353] lr: 1.113e-02, eta: 19:34:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 2.0723, loss: 2.0723 +2025-05-31 21:10:16,874 - pyskl - INFO - Epoch [81][700/2353] lr: 1.112e-02, eta: 19:33:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9944, loss_cls: 2.1347, loss: 2.1347 +2025-05-31 21:10:59,873 - pyskl - INFO - Epoch [81][800/2353] lr: 1.111e-02, eta: 19:32:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 2.1893, loss: 2.1893 +2025-05-31 21:11:42,885 - pyskl - INFO - Epoch [81][900/2353] lr: 1.109e-02, eta: 19:32:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 2.0647, loss: 2.0647 +2025-05-31 21:12:25,947 - pyskl - INFO - Epoch [81][1000/2353] lr: 1.108e-02, eta: 19:31:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9906, loss_cls: 2.0778, loss: 2.0778 +2025-05-31 21:13:08,918 - pyskl - INFO - Epoch [81][1100/2353] lr: 1.107e-02, eta: 19:30:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 2.1605, loss: 2.1605 +2025-05-31 21:13:51,910 - pyskl - INFO - Epoch [81][1200/2353] lr: 1.106e-02, eta: 19:30:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9938, loss_cls: 2.1359, loss: 2.1359 +2025-05-31 21:14:34,908 - pyskl - INFO - Epoch [81][1300/2353] lr: 1.105e-02, eta: 19:29:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9900, loss_cls: 2.2239, loss: 2.2239 +2025-05-31 21:15:17,777 - pyskl - INFO - Epoch [81][1400/2353] lr: 1.104e-02, eta: 19:28:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9875, loss_cls: 2.1187, loss: 2.1187 +2025-05-31 21:16:00,683 - pyskl - INFO - Epoch [81][1500/2353] lr: 1.103e-02, eta: 19:27:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 2.2699, loss: 2.2699 +2025-05-31 21:16:43,639 - pyskl - INFO - Epoch [81][1600/2353] lr: 1.102e-02, eta: 19:27:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.1803, loss: 2.1803 +2025-05-31 21:17:26,550 - pyskl - INFO - Epoch [81][1700/2353] lr: 1.101e-02, eta: 19:26:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 2.0442, loss: 2.0442 +2025-05-31 21:18:09,537 - pyskl - INFO - Epoch [81][1800/2353] lr: 1.099e-02, eta: 19:25:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 2.2783, loss: 2.2783 +2025-05-31 21:18:52,553 - pyskl - INFO - Epoch [81][1900/2353] lr: 1.098e-02, eta: 19:25:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 2.1649, loss: 2.1649 +2025-05-31 21:19:35,911 - pyskl - INFO - Epoch [81][2000/2353] lr: 1.097e-02, eta: 19:24:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9938, loss_cls: 2.1408, loss: 2.1408 +2025-05-31 21:20:19,000 - pyskl - INFO - Epoch [81][2100/2353] lr: 1.096e-02, eta: 19:23:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9862, loss_cls: 2.1575, loss: 2.1575 +2025-05-31 21:21:02,112 - pyskl - INFO - Epoch [81][2200/2353] lr: 1.095e-02, eta: 19:22:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9919, loss_cls: 2.2086, loss: 2.2086 +2025-05-31 21:21:45,194 - pyskl - INFO - Epoch [81][2300/2353] lr: 1.094e-02, eta: 19:22:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9825, loss_cls: 2.3293, loss: 2.3293 +2025-05-31 21:22:08,526 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-05-31 21:23:34,075 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 21:23:34,153 - pyskl - INFO - +top1_acc 0.9162 +top5_acc 0.9917 +2025-05-31 21:23:34,206 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_74.pth was removed +2025-05-31 21:23:35,192 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_81.pth. +2025-05-31 21:23:35,193 - pyskl - INFO - Best top1_acc is 0.9162 at 81 epoch. +2025-05-31 21:23:35,196 - pyskl - INFO - Epoch(val) [81][1184] top1_acc: 0.9162, top5_acc: 0.9917 +2025-05-31 21:24:38,544 - pyskl - INFO - Epoch [82][100/2353] lr: 1.092e-02, eta: 19:21:07, time: 0.633, data_time: 0.204, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 1.9769, loss: 1.9769 +2025-05-31 21:25:21,541 - pyskl - INFO - Epoch [82][200/2353] lr: 1.091e-02, eta: 19:20:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 2.1148, loss: 2.1148 +2025-05-31 21:26:04,563 - pyskl - INFO - Epoch [82][300/2353] lr: 1.090e-02, eta: 19:19:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9962, loss_cls: 2.0272, loss: 2.0272 +2025-05-31 21:26:47,570 - pyskl - INFO - Epoch [82][400/2353] lr: 1.089e-02, eta: 19:18:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9931, loss_cls: 2.1119, loss: 2.1119 +2025-05-31 21:27:30,578 - pyskl - INFO - Epoch [82][500/2353] lr: 1.088e-02, eta: 19:18:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 2.0584, loss: 2.0584 +2025-05-31 21:28:13,503 - pyskl - INFO - Epoch [82][600/2353] lr: 1.087e-02, eta: 19:17:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9950, loss_cls: 2.0629, loss: 2.0629 +2025-05-31 21:28:56,575 - pyskl - INFO - Epoch [82][700/2353] lr: 1.086e-02, eta: 19:16:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 2.1826, loss: 2.1826 +2025-05-31 21:29:39,573 - pyskl - INFO - Epoch [82][800/2353] lr: 1.085e-02, eta: 19:16:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 2.1939, loss: 2.1939 +2025-05-31 21:30:22,590 - pyskl - INFO - Epoch [82][900/2353] lr: 1.083e-02, eta: 19:15:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9944, loss_cls: 2.2100, loss: 2.2100 +2025-05-31 21:31:05,570 - pyskl - INFO - Epoch [82][1000/2353] lr: 1.082e-02, eta: 19:14:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 2.0641, loss: 2.0641 +2025-05-31 21:31:48,565 - pyskl - INFO - Epoch [82][1100/2353] lr: 1.081e-02, eta: 19:13:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.0607, loss: 2.0607 +2025-05-31 21:32:31,617 - pyskl - INFO - Epoch [82][1200/2353] lr: 1.080e-02, eta: 19:13:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 2.1111, loss: 2.1111 +2025-05-31 21:33:14,626 - pyskl - INFO - Epoch [82][1300/2353] lr: 1.079e-02, eta: 19:12:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 2.1527, loss: 2.1527 +2025-05-31 21:33:57,604 - pyskl - INFO - Epoch [82][1400/2353] lr: 1.078e-02, eta: 19:11:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 2.2053, loss: 2.2053 +2025-05-31 21:34:40,555 - pyskl - INFO - Epoch [82][1500/2353] lr: 1.077e-02, eta: 19:11:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 2.2141, loss: 2.2141 +2025-05-31 21:35:23,549 - pyskl - INFO - Epoch [82][1600/2353] lr: 1.076e-02, eta: 19:10:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 2.1374, loss: 2.1374 +2025-05-31 21:36:06,629 - pyskl - INFO - Epoch [82][1700/2353] lr: 1.075e-02, eta: 19:09:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 2.1519, loss: 2.1519 +2025-05-31 21:36:49,675 - pyskl - INFO - Epoch [82][1800/2353] lr: 1.073e-02, eta: 19:08:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.2051, loss: 2.2051 +2025-05-31 21:37:32,820 - pyskl - INFO - Epoch [82][1900/2353] lr: 1.072e-02, eta: 19:08:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9862, loss_cls: 2.2296, loss: 2.2296 +2025-05-31 21:38:15,891 - pyskl - INFO - Epoch [82][2000/2353] lr: 1.071e-02, eta: 19:07:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.0870, loss: 2.0870 +2025-05-31 21:38:59,087 - pyskl - INFO - Epoch [82][2100/2353] lr: 1.070e-02, eta: 19:06:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9850, loss_cls: 2.2276, loss: 2.2276 +2025-05-31 21:39:42,102 - pyskl - INFO - Epoch [82][2200/2353] lr: 1.069e-02, eta: 19:06:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 2.1745, loss: 2.1745 +2025-05-31 21:40:25,087 - pyskl - INFO - Epoch [82][2300/2353] lr: 1.068e-02, eta: 19:05:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 2.1775, loss: 2.1775 +2025-05-31 21:40:48,408 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-05-31 21:42:13,718 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 21:42:13,793 - pyskl - INFO - +top1_acc 0.9075 +top5_acc 0.9920 +2025-05-31 21:42:13,796 - pyskl - INFO - Epoch(val) [82][1184] top1_acc: 0.9075, top5_acc: 0.9920 +2025-05-31 21:43:16,758 - pyskl - INFO - Epoch [83][100/2353] lr: 1.066e-02, eta: 19:04:16, time: 0.630, data_time: 0.201, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 2.0630, loss: 2.0630 +2025-05-31 21:43:59,622 - pyskl - INFO - Epoch [83][200/2353] lr: 1.065e-02, eta: 19:03:33, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 2.0685, loss: 2.0685 +2025-05-31 21:44:42,484 - pyskl - INFO - Epoch [83][300/2353] lr: 1.064e-02, eta: 19:02:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 2.0616, loss: 2.0616 +2025-05-31 21:45:25,447 - pyskl - INFO - Epoch [83][400/2353] lr: 1.063e-02, eta: 19:02:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 2.0968, loss: 2.0968 +2025-05-31 21:46:08,458 - pyskl - INFO - Epoch [83][500/2353] lr: 1.062e-02, eta: 19:01:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 2.0173, loss: 2.0173 +2025-05-31 21:46:51,465 - pyskl - INFO - Epoch [83][600/2353] lr: 1.061e-02, eta: 19:00:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 2.1281, loss: 2.1281 +2025-05-31 21:47:34,525 - pyskl - INFO - Epoch [83][700/2353] lr: 1.060e-02, eta: 18:59:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 2.0961, loss: 2.0961 +2025-05-31 21:48:17,629 - pyskl - INFO - Epoch [83][800/2353] lr: 1.059e-02, eta: 18:59:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9944, loss_cls: 2.1316, loss: 2.1316 +2025-05-31 21:49:00,697 - pyskl - INFO - Epoch [83][900/2353] lr: 1.058e-02, eta: 18:58:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 2.0675, loss: 2.0675 +2025-05-31 21:49:43,765 - pyskl - INFO - Epoch [83][1000/2353] lr: 1.056e-02, eta: 18:57:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 2.1564, loss: 2.1564 +2025-05-31 21:50:26,809 - pyskl - INFO - Epoch [83][1100/2353] lr: 1.055e-02, eta: 18:57:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9888, loss_cls: 2.0743, loss: 2.0743 +2025-05-31 21:51:09,921 - pyskl - INFO - Epoch [83][1200/2353] lr: 1.054e-02, eta: 18:56:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 2.0803, loss: 2.0803 +2025-05-31 21:51:53,013 - pyskl - INFO - Epoch [83][1300/2353] lr: 1.053e-02, eta: 18:55:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9950, loss_cls: 2.1192, loss: 2.1192 +2025-05-31 21:52:36,100 - pyskl - INFO - Epoch [83][1400/2353] lr: 1.052e-02, eta: 18:54:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 2.1644, loss: 2.1644 +2025-05-31 21:53:19,103 - pyskl - INFO - Epoch [83][1500/2353] lr: 1.051e-02, eta: 18:54:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9881, loss_cls: 2.1793, loss: 2.1793 +2025-05-31 21:54:02,166 - pyskl - INFO - Epoch [83][1600/2353] lr: 1.050e-02, eta: 18:53:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 2.0920, loss: 2.0920 +2025-05-31 21:54:45,166 - pyskl - INFO - Epoch [83][1700/2353] lr: 1.049e-02, eta: 18:52:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 2.2194, loss: 2.2194 +2025-05-31 21:55:28,147 - pyskl - INFO - Epoch [83][1800/2353] lr: 1.048e-02, eta: 18:52:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 2.1082, loss: 2.1082 +2025-05-31 21:56:11,251 - pyskl - INFO - Epoch [83][1900/2353] lr: 1.047e-02, eta: 18:51:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.0797, loss: 2.0797 +2025-05-31 21:56:54,038 - pyskl - INFO - Epoch [83][2000/2353] lr: 1.045e-02, eta: 18:50:41, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 2.0951, loss: 2.0951 +2025-05-31 21:57:36,926 - pyskl - INFO - Epoch [83][2100/2353] lr: 1.044e-02, eta: 18:49:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9894, loss_cls: 2.0577, loss: 2.0577 +2025-05-31 21:58:19,868 - pyskl - INFO - Epoch [83][2200/2353] lr: 1.043e-02, eta: 18:49:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 2.1617, loss: 2.1617 +2025-05-31 21:59:02,804 - pyskl - INFO - Epoch [83][2300/2353] lr: 1.042e-02, eta: 18:48:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 2.1425, loss: 2.1425 +2025-05-31 21:59:26,078 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-05-31 22:00:51,648 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 22:00:51,728 - pyskl - INFO - +top1_acc 0.9110 +top5_acc 0.9913 +2025-05-31 22:00:51,732 - pyskl - INFO - Epoch(val) [83][1184] top1_acc: 0.9110, top5_acc: 0.9913 +2025-05-31 22:01:54,992 - pyskl - INFO - Epoch [84][100/2353] lr: 1.040e-02, eta: 18:47:25, time: 0.633, data_time: 0.204, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 2.0070, loss: 2.0070 +2025-05-31 22:02:37,952 - pyskl - INFO - Epoch [84][200/2353] lr: 1.039e-02, eta: 18:46:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 2.0548, loss: 2.0548 +2025-05-31 22:03:20,906 - pyskl - INFO - Epoch [84][300/2353] lr: 1.038e-02, eta: 18:45:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 2.0484, loss: 2.0484 +2025-05-31 22:04:03,901 - pyskl - INFO - Epoch [84][400/2353] lr: 1.037e-02, eta: 18:45:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 2.0259, loss: 2.0259 +2025-05-31 22:04:46,927 - pyskl - INFO - Epoch [84][500/2353] lr: 1.036e-02, eta: 18:44:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9906, loss_cls: 2.0176, loss: 2.0176 +2025-05-31 22:05:30,149 - pyskl - INFO - Epoch [84][600/2353] lr: 1.035e-02, eta: 18:43:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 2.0269, loss: 2.0269 +2025-05-31 22:06:13,289 - pyskl - INFO - Epoch [84][700/2353] lr: 1.034e-02, eta: 18:43:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 2.0910, loss: 2.0910 +2025-05-31 22:06:56,277 - pyskl - INFO - Epoch [84][800/2353] lr: 1.033e-02, eta: 18:42:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 2.1054, loss: 2.1054 +2025-05-31 22:07:39,502 - pyskl - INFO - Epoch [84][900/2353] lr: 1.032e-02, eta: 18:41:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 2.1729, loss: 2.1729 +2025-05-31 22:08:22,453 - pyskl - INFO - Epoch [84][1000/2353] lr: 1.031e-02, eta: 18:40:59, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 2.1726, loss: 2.1726 +2025-05-31 22:09:05,444 - pyskl - INFO - Epoch [84][1100/2353] lr: 1.029e-02, eta: 18:40:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9862, loss_cls: 2.1077, loss: 2.1077 +2025-05-31 22:09:48,237 - pyskl - INFO - Epoch [84][1200/2353] lr: 1.028e-02, eta: 18:39:33, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 2.1867, loss: 2.1867 +2025-05-31 22:10:31,302 - pyskl - INFO - Epoch [84][1300/2353] lr: 1.027e-02, eta: 18:38:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 2.0526, loss: 2.0526 +2025-05-31 22:11:14,347 - pyskl - INFO - Epoch [84][1400/2353] lr: 1.026e-02, eta: 18:38:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 2.0874, loss: 2.0874 +2025-05-31 22:11:57,417 - pyskl - INFO - Epoch [84][1500/2353] lr: 1.025e-02, eta: 18:37:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 2.0009, loss: 2.0009 +2025-05-31 22:12:40,493 - pyskl - INFO - Epoch [84][1600/2353] lr: 1.024e-02, eta: 18:36:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 2.1777, loss: 2.1777 +2025-05-31 22:13:23,573 - pyskl - INFO - Epoch [84][1700/2353] lr: 1.023e-02, eta: 18:35:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 2.1098, loss: 2.1098 +2025-05-31 22:14:06,594 - pyskl - INFO - Epoch [84][1800/2353] lr: 1.022e-02, eta: 18:35:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 2.1835, loss: 2.1835 +2025-05-31 22:14:49,711 - pyskl - INFO - Epoch [84][1900/2353] lr: 1.021e-02, eta: 18:34:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 2.0450, loss: 2.0450 +2025-05-31 22:15:32,992 - pyskl - INFO - Epoch [84][2000/2353] lr: 1.020e-02, eta: 18:33:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9812, loss_cls: 2.1881, loss: 2.1881 +2025-05-31 22:16:16,217 - pyskl - INFO - Epoch [84][2100/2353] lr: 1.019e-02, eta: 18:33:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 2.1542, loss: 2.1542 +2025-05-31 22:16:59,568 - pyskl - INFO - Epoch [84][2200/2353] lr: 1.017e-02, eta: 18:32:25, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 2.1185, loss: 2.1185 +2025-05-31 22:17:42,611 - pyskl - INFO - Epoch [84][2300/2353] lr: 1.016e-02, eta: 18:31:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 2.0940, loss: 2.0940 +2025-05-31 22:18:05,954 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-05-31 22:19:31,488 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 22:19:31,563 - pyskl - INFO - +top1_acc 0.9148 +top5_acc 0.9924 +2025-05-31 22:19:31,566 - pyskl - INFO - Epoch(val) [84][1184] top1_acc: 0.9148, top5_acc: 0.9924 +2025-05-31 22:20:34,706 - pyskl - INFO - Epoch [85][100/2353] lr: 1.015e-02, eta: 18:30:35, time: 0.631, data_time: 0.200, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 2.0741, loss: 2.0741 +2025-05-31 22:21:17,607 - pyskl - INFO - Epoch [85][200/2353] lr: 1.014e-02, eta: 18:29:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 2.0933, loss: 2.0933 +2025-05-31 22:22:00,554 - pyskl - INFO - Epoch [85][300/2353] lr: 1.013e-02, eta: 18:29:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 1.9995, loss: 1.9995 +2025-05-31 22:22:43,560 - pyskl - INFO - Epoch [85][400/2353] lr: 1.011e-02, eta: 18:28:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 2.0174, loss: 2.0174 +2025-05-31 22:23:26,526 - pyskl - INFO - Epoch [85][500/2353] lr: 1.010e-02, eta: 18:27:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 2.0153, loss: 2.0153 +2025-05-31 22:24:09,513 - pyskl - INFO - Epoch [85][600/2353] lr: 1.009e-02, eta: 18:27:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 2.0170, loss: 2.0170 +2025-05-31 22:24:52,467 - pyskl - INFO - Epoch [85][700/2353] lr: 1.008e-02, eta: 18:26:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9944, loss_cls: 2.0647, loss: 2.0647 +2025-05-31 22:25:35,523 - pyskl - INFO - Epoch [85][800/2353] lr: 1.007e-02, eta: 18:25:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 2.1317, loss: 2.1317 +2025-05-31 22:26:18,597 - pyskl - INFO - Epoch [85][900/2353] lr: 1.006e-02, eta: 18:24:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 2.0056, loss: 2.0056 +2025-05-31 22:27:01,684 - pyskl - INFO - Epoch [85][1000/2353] lr: 1.005e-02, eta: 18:24:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 1.9395, loss: 1.9395 +2025-05-31 22:27:44,749 - pyskl - INFO - Epoch [85][1100/2353] lr: 1.004e-02, eta: 18:23:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9869, loss_cls: 2.1968, loss: 2.1968 +2025-05-31 22:28:27,667 - pyskl - INFO - Epoch [85][1200/2353] lr: 1.003e-02, eta: 18:22:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 1.9982, loss: 1.9982 +2025-05-31 22:29:10,576 - pyskl - INFO - Epoch [85][1300/2353] lr: 1.002e-02, eta: 18:22:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 2.0912, loss: 2.0912 +2025-05-31 22:29:53,501 - pyskl - INFO - Epoch [85][1400/2353] lr: 1.001e-02, eta: 18:21:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 2.0696, loss: 2.0696 +2025-05-31 22:30:36,440 - pyskl - INFO - Epoch [85][1500/2353] lr: 9.994e-03, eta: 18:20:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 2.1057, loss: 2.1057 +2025-05-31 22:31:19,465 - pyskl - INFO - Epoch [85][1600/2353] lr: 9.983e-03, eta: 18:19:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 2.0668, loss: 2.0668 +2025-05-31 22:32:02,446 - pyskl - INFO - Epoch [85][1700/2353] lr: 9.972e-03, eta: 18:19:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9856, loss_cls: 2.1825, loss: 2.1825 +2025-05-31 22:32:45,484 - pyskl - INFO - Epoch [85][1800/2353] lr: 9.961e-03, eta: 18:18:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 2.0798, loss: 2.0798 +2025-05-31 22:33:28,671 - pyskl - INFO - Epoch [85][1900/2353] lr: 9.951e-03, eta: 18:17:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 2.0712, loss: 2.0712 +2025-05-31 22:34:11,761 - pyskl - INFO - Epoch [85][2000/2353] lr: 9.940e-03, eta: 18:17:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9956, loss_cls: 1.9918, loss: 1.9918 +2025-05-31 22:34:54,784 - pyskl - INFO - Epoch [85][2100/2353] lr: 9.929e-03, eta: 18:16:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9862, loss_cls: 2.1970, loss: 2.1970 +2025-05-31 22:35:37,723 - pyskl - INFO - Epoch [85][2200/2353] lr: 9.918e-03, eta: 18:15:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 2.1131, loss: 2.1131 +2025-05-31 22:36:20,686 - pyskl - INFO - Epoch [85][2300/2353] lr: 9.907e-03, eta: 18:14:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9894, loss_cls: 2.0270, loss: 2.0270 +2025-05-31 22:36:43,982 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-05-31 22:45:21,017 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 22:45:21,091 - pyskl - INFO - +top1_acc 0.8949 +top5_acc 0.9899 +2025-05-31 22:45:21,095 - pyskl - INFO - Epoch(val) [85][1184] top1_acc: 0.8949, top5_acc: 0.9899 +2025-05-31 22:46:24,217 - pyskl - INFO - Epoch [86][100/2353] lr: 9.890e-03, eta: 18:13:43, time: 0.631, data_time: 0.203, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9938, loss_cls: 2.1120, loss: 2.1120 +2025-05-31 22:47:07,068 - pyskl - INFO - Epoch [86][200/2353] lr: 9.879e-03, eta: 18:13:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9956, loss_cls: 2.0280, loss: 2.0280 +2025-05-31 22:47:49,799 - pyskl - INFO - Epoch [86][300/2353] lr: 9.869e-03, eta: 18:12:17, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 2.0082, loss: 2.0082 +2025-05-31 22:48:32,573 - pyskl - INFO - Epoch [86][400/2353] lr: 9.858e-03, eta: 18:11:34, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 2.0867, loss: 2.0867 +2025-05-31 22:49:15,421 - pyskl - INFO - Epoch [86][500/2353] lr: 9.847e-03, eta: 18:10:51, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 1.9712, loss: 1.9712 +2025-05-31 22:49:58,180 - pyskl - INFO - Epoch [86][600/2353] lr: 9.836e-03, eta: 18:10:08, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 1.9651, loss: 1.9651 +2025-05-31 22:50:41,000 - pyskl - INFO - Epoch [86][700/2353] lr: 9.825e-03, eta: 18:09:25, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9888, loss_cls: 2.0540, loss: 2.0540 +2025-05-31 22:51:23,775 - pyskl - INFO - Epoch [86][800/2353] lr: 9.814e-03, eta: 18:08:42, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 2.0477, loss: 2.0477 +2025-05-31 22:52:06,921 - pyskl - INFO - Epoch [86][900/2353] lr: 9.803e-03, eta: 18:07:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 1.9883, loss: 1.9883 +2025-05-31 22:52:50,017 - pyskl - INFO - Epoch [86][1000/2353] lr: 9.792e-03, eta: 18:07:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 2.0355, loss: 2.0355 +2025-05-31 22:53:33,031 - pyskl - INFO - Epoch [86][1100/2353] lr: 9.782e-03, eta: 18:06:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 1.9921, loss: 1.9921 +2025-05-31 22:54:16,017 - pyskl - INFO - Epoch [86][1200/2353] lr: 9.771e-03, eta: 18:05:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 2.1165, loss: 2.1165 +2025-05-31 22:54:59,029 - pyskl - INFO - Epoch [86][1300/2353] lr: 9.760e-03, eta: 18:05:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 2.1626, loss: 2.1626 +2025-05-31 22:55:42,032 - pyskl - INFO - Epoch [86][1400/2353] lr: 9.749e-03, eta: 18:04:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 2.1299, loss: 2.1299 +2025-05-31 22:56:25,040 - pyskl - INFO - Epoch [86][1500/2353] lr: 9.738e-03, eta: 18:03:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 1.9936, loss: 1.9936 +2025-05-31 22:57:08,073 - pyskl - INFO - Epoch [86][1600/2353] lr: 9.727e-03, eta: 18:02:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 2.1263, loss: 2.1263 +2025-05-31 22:57:50,974 - pyskl - INFO - Epoch [86][1700/2353] lr: 9.717e-03, eta: 18:02:16, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 2.1300, loss: 2.1300 +2025-05-31 22:58:33,879 - pyskl - INFO - Epoch [86][1800/2353] lr: 9.706e-03, eta: 18:01:33, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 2.1443, loss: 2.1443 +2025-05-31 22:59:16,948 - pyskl - INFO - Epoch [86][1900/2353] lr: 9.695e-03, eta: 18:00:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 2.1287, loss: 2.1287 +2025-05-31 23:00:00,050 - pyskl - INFO - Epoch [86][2000/2353] lr: 9.684e-03, eta: 18:00:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 2.1142, loss: 2.1142 +2025-05-31 23:00:43,257 - pyskl - INFO - Epoch [86][2100/2353] lr: 9.673e-03, eta: 17:59:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9881, loss_cls: 2.1505, loss: 2.1505 +2025-05-31 23:01:26,321 - pyskl - INFO - Epoch [86][2200/2353] lr: 9.662e-03, eta: 17:58:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 2.1724, loss: 2.1724 +2025-05-31 23:02:09,437 - pyskl - INFO - Epoch [86][2300/2353] lr: 9.651e-03, eta: 17:57:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 2.1558, loss: 2.1558 +2025-05-31 23:02:32,911 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-05-31 23:03:58,361 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 23:03:58,437 - pyskl - INFO - +top1_acc 0.9046 +top5_acc 0.9923 +2025-05-31 23:03:58,440 - pyskl - INFO - Epoch(val) [86][1184] top1_acc: 0.9046, top5_acc: 0.9923 +2025-05-31 23:05:02,285 - pyskl - INFO - Epoch [87][100/2353] lr: 9.635e-03, eta: 17:56:52, time: 0.638, data_time: 0.205, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9956, loss_cls: 2.0000, loss: 2.0000 +2025-05-31 23:05:45,397 - pyskl - INFO - Epoch [87][200/2353] lr: 9.624e-03, eta: 17:56:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 2.0468, loss: 2.0468 +2025-05-31 23:06:28,460 - pyskl - INFO - Epoch [87][300/2353] lr: 9.613e-03, eta: 17:55:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 2.0528, loss: 2.0528 +2025-05-31 23:07:11,432 - pyskl - INFO - Epoch [87][400/2353] lr: 9.602e-03, eta: 17:54:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 2.0525, loss: 2.0525 +2025-05-31 23:07:54,332 - pyskl - INFO - Epoch [87][500/2353] lr: 9.592e-03, eta: 17:54:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 2.0476, loss: 2.0476 +2025-05-31 23:08:37,213 - pyskl - INFO - Epoch [87][600/2353] lr: 9.581e-03, eta: 17:53:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 2.0626, loss: 2.0626 +2025-05-31 23:09:20,101 - pyskl - INFO - Epoch [87][700/2353] lr: 9.570e-03, eta: 17:52:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 2.1606, loss: 2.1606 +2025-05-31 23:10:03,013 - pyskl - INFO - Epoch [87][800/2353] lr: 9.559e-03, eta: 17:51:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 1.9897, loss: 1.9897 +2025-05-31 23:10:45,964 - pyskl - INFO - Epoch [87][900/2353] lr: 9.548e-03, eta: 17:51:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 2.0628, loss: 2.0628 +2025-05-31 23:11:28,893 - pyskl - INFO - Epoch [87][1000/2353] lr: 9.538e-03, eta: 17:50:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 1.9821, loss: 1.9821 +2025-05-31 23:12:11,925 - pyskl - INFO - Epoch [87][1100/2353] lr: 9.527e-03, eta: 17:49:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 1.9275, loss: 1.9275 +2025-05-31 23:12:55,085 - pyskl - INFO - Epoch [87][1200/2353] lr: 9.516e-03, eta: 17:49:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9881, loss_cls: 2.0577, loss: 2.0577 +2025-05-31 23:13:38,132 - pyskl - INFO - Epoch [87][1300/2353] lr: 9.505e-03, eta: 17:48:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 2.1201, loss: 2.1201 +2025-05-31 23:14:21,134 - pyskl - INFO - Epoch [87][1400/2353] lr: 9.494e-03, eta: 17:47:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 2.0417, loss: 2.0417 +2025-05-31 23:15:04,106 - pyskl - INFO - Epoch [87][1500/2353] lr: 9.483e-03, eta: 17:46:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 2.0481, loss: 2.0481 +2025-05-31 23:15:47,116 - pyskl - INFO - Epoch [87][1600/2353] lr: 9.473e-03, eta: 17:46:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 1.9883, loss: 1.9883 +2025-05-31 23:16:30,049 - pyskl - INFO - Epoch [87][1700/2353] lr: 9.462e-03, eta: 17:45:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 2.0909, loss: 2.0909 +2025-05-31 23:17:13,064 - pyskl - INFO - Epoch [87][1800/2353] lr: 9.451e-03, eta: 17:44:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 2.0535, loss: 2.0535 +2025-05-31 23:17:56,012 - pyskl - INFO - Epoch [87][1900/2353] lr: 9.440e-03, eta: 17:44:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 2.0734, loss: 2.0734 +2025-05-31 23:18:39,084 - pyskl - INFO - Epoch [87][2000/2353] lr: 9.430e-03, eta: 17:43:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 2.0832, loss: 2.0832 +2025-05-31 23:19:22,152 - pyskl - INFO - Epoch [87][2100/2353] lr: 9.419e-03, eta: 17:42:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 2.0557, loss: 2.0557 +2025-05-31 23:20:05,131 - pyskl - INFO - Epoch [87][2200/2353] lr: 9.408e-03, eta: 17:41:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 2.1128, loss: 2.1128 +2025-05-31 23:20:48,118 - pyskl - INFO - Epoch [87][2300/2353] lr: 9.397e-03, eta: 17:41:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9950, loss_cls: 2.0306, loss: 2.0306 +2025-05-31 23:21:11,487 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-05-31 23:22:36,987 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 23:22:37,061 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9902 +2025-05-31 23:22:37,064 - pyskl - INFO - Epoch(val) [87][1184] top1_acc: 0.9042, top5_acc: 0.9902 +2025-05-31 23:23:40,714 - pyskl - INFO - Epoch [88][100/2353] lr: 9.381e-03, eta: 17:40:02, time: 0.636, data_time: 0.207, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 1.9800, loss: 1.9800 +2025-05-31 23:24:23,712 - pyskl - INFO - Epoch [88][200/2353] lr: 9.370e-03, eta: 17:39:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 2.0079, loss: 2.0079 +2025-05-31 23:25:06,776 - pyskl - INFO - Epoch [88][300/2353] lr: 9.359e-03, eta: 17:38:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 2.0036, loss: 2.0036 +2025-05-31 23:25:49,803 - pyskl - INFO - Epoch [88][400/2353] lr: 9.348e-03, eta: 17:37:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9906, loss_cls: 1.9525, loss: 1.9525 +2025-05-31 23:26:32,865 - pyskl - INFO - Epoch [88][500/2353] lr: 9.338e-03, eta: 17:37:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 2.1067, loss: 2.1067 +2025-05-31 23:27:15,824 - pyskl - INFO - Epoch [88][600/2353] lr: 9.327e-03, eta: 17:36:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 2.0242, loss: 2.0242 +2025-05-31 23:27:58,776 - pyskl - INFO - Epoch [88][700/2353] lr: 9.316e-03, eta: 17:35:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9888, loss_cls: 1.9758, loss: 1.9758 +2025-05-31 23:28:41,746 - pyskl - INFO - Epoch [88][800/2353] lr: 9.305e-03, eta: 17:35:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 1.9926, loss: 1.9926 +2025-05-31 23:29:24,745 - pyskl - INFO - Epoch [88][900/2353] lr: 9.295e-03, eta: 17:34:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 2.0072, loss: 2.0072 +2025-05-31 23:30:07,772 - pyskl - INFO - Epoch [88][1000/2353] lr: 9.284e-03, eta: 17:33:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 2.0866, loss: 2.0866 +2025-05-31 23:30:50,762 - pyskl - INFO - Epoch [88][1100/2353] lr: 9.273e-03, eta: 17:32:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 2.0609, loss: 2.0609 +2025-05-31 23:31:33,859 - pyskl - INFO - Epoch [88][1200/2353] lr: 9.262e-03, eta: 17:32:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9869, loss_cls: 2.1475, loss: 2.1475 +2025-05-31 23:32:16,873 - pyskl - INFO - Epoch [88][1300/2353] lr: 9.252e-03, eta: 17:31:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 2.0795, loss: 2.0795 +2025-05-31 23:32:59,853 - pyskl - INFO - Epoch [88][1400/2353] lr: 9.241e-03, eta: 17:30:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9944, loss_cls: 1.9977, loss: 1.9977 +2025-05-31 23:33:42,851 - pyskl - INFO - Epoch [88][1500/2353] lr: 9.230e-03, eta: 17:30:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 2.0282, loss: 2.0282 +2025-05-31 23:34:25,782 - pyskl - INFO - Epoch [88][1600/2353] lr: 9.219e-03, eta: 17:29:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 2.1300, loss: 2.1300 +2025-05-31 23:35:08,774 - pyskl - INFO - Epoch [88][1700/2353] lr: 9.209e-03, eta: 17:28:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 2.0645, loss: 2.0645 +2025-05-31 23:35:51,805 - pyskl - INFO - Epoch [88][1800/2353] lr: 9.198e-03, eta: 17:27:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 2.0348, loss: 2.0348 +2025-05-31 23:36:34,868 - pyskl - INFO - Epoch [88][1900/2353] lr: 9.187e-03, eta: 17:27:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 2.1029, loss: 2.1029 +2025-05-31 23:37:17,950 - pyskl - INFO - Epoch [88][2000/2353] lr: 9.176e-03, eta: 17:26:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 2.1044, loss: 2.1044 +2025-05-31 23:38:00,971 - pyskl - INFO - Epoch [88][2100/2353] lr: 9.166e-03, eta: 17:25:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 2.0572, loss: 2.0572 +2025-05-31 23:38:44,017 - pyskl - INFO - Epoch [88][2200/2353] lr: 9.155e-03, eta: 17:25:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 2.0637, loss: 2.0637 +2025-05-31 23:39:27,056 - pyskl - INFO - Epoch [88][2300/2353] lr: 9.144e-03, eta: 17:24:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9869, loss_cls: 2.2297, loss: 2.2297 +2025-05-31 23:39:50,530 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-05-31 23:41:15,996 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 23:41:16,072 - pyskl - INFO - +top1_acc 0.9218 +top5_acc 0.9922 +2025-05-31 23:41:16,125 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_81.pth was removed +2025-05-31 23:41:17,163 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_88.pth. +2025-05-31 23:41:17,163 - pyskl - INFO - Best top1_acc is 0.9218 at 88 epoch. +2025-05-31 23:41:17,166 - pyskl - INFO - Epoch(val) [88][1184] top1_acc: 0.9218, top5_acc: 0.9922 +2025-05-31 23:42:20,656 - pyskl - INFO - Epoch [89][100/2353] lr: 9.128e-03, eta: 17:23:11, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 1.8804, loss: 1.8804 +2025-05-31 23:43:03,593 - pyskl - INFO - Epoch [89][200/2353] lr: 9.117e-03, eta: 17:22:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 1.9221, loss: 1.9221 +2025-05-31 23:43:46,594 - pyskl - INFO - Epoch [89][300/2353] lr: 9.106e-03, eta: 17:21:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9906, loss_cls: 1.9333, loss: 1.9333 +2025-05-31 23:44:29,449 - pyskl - INFO - Epoch [89][400/2353] lr: 9.096e-03, eta: 17:21:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 2.0318, loss: 2.0318 +2025-05-31 23:45:12,371 - pyskl - INFO - Epoch [89][500/2353] lr: 9.085e-03, eta: 17:20:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 2.0306, loss: 2.0306 +2025-05-31 23:45:55,313 - pyskl - INFO - Epoch [89][600/2353] lr: 9.074e-03, eta: 17:19:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9962, loss_cls: 1.9263, loss: 1.9263 +2025-05-31 23:46:38,250 - pyskl - INFO - Epoch [89][700/2353] lr: 9.064e-03, eta: 17:18:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 2.0338, loss: 2.0338 +2025-05-31 23:47:21,216 - pyskl - INFO - Epoch [89][800/2353] lr: 9.053e-03, eta: 17:18:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 1.9156, loss: 1.9156 +2025-05-31 23:48:04,149 - pyskl - INFO - Epoch [89][900/2353] lr: 9.042e-03, eta: 17:17:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9962, loss_cls: 2.0119, loss: 2.0119 +2025-05-31 23:48:47,119 - pyskl - INFO - Epoch [89][1000/2353] lr: 9.032e-03, eta: 17:16:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 2.0651, loss: 2.0651 +2025-05-31 23:49:30,037 - pyskl - INFO - Epoch [89][1100/2353] lr: 9.021e-03, eta: 17:16:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 1.9679, loss: 1.9679 +2025-05-31 23:50:13,239 - pyskl - INFO - Epoch [89][1200/2353] lr: 9.010e-03, eta: 17:15:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 1.9735, loss: 1.9735 +2025-05-31 23:50:56,354 - pyskl - INFO - Epoch [89][1300/2353] lr: 9.000e-03, eta: 17:14:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 2.0870, loss: 2.0870 +2025-05-31 23:51:39,325 - pyskl - INFO - Epoch [89][1400/2353] lr: 8.989e-03, eta: 17:13:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 2.0358, loss: 2.0358 +2025-05-31 23:52:22,228 - pyskl - INFO - Epoch [89][1500/2353] lr: 8.978e-03, eta: 17:13:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 2.0059, loss: 2.0059 +2025-05-31 23:53:05,190 - pyskl - INFO - Epoch [89][1600/2353] lr: 8.967e-03, eta: 17:12:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9962, loss_cls: 2.0208, loss: 2.0208 +2025-05-31 23:53:48,149 - pyskl - INFO - Epoch [89][1700/2353] lr: 8.957e-03, eta: 17:11:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 1.9896, loss: 1.9896 +2025-05-31 23:54:31,100 - pyskl - INFO - Epoch [89][1800/2353] lr: 8.946e-03, eta: 17:11:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 1.9789, loss: 1.9789 +2025-05-31 23:55:13,999 - pyskl - INFO - Epoch [89][1900/2353] lr: 8.935e-03, eta: 17:10:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 2.0600, loss: 2.0600 +2025-05-31 23:55:57,009 - pyskl - INFO - Epoch [89][2000/2353] lr: 8.925e-03, eta: 17:09:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 2.0885, loss: 2.0885 +2025-05-31 23:56:39,960 - pyskl - INFO - Epoch [89][2100/2353] lr: 8.914e-03, eta: 17:08:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.0766, loss: 2.0766 +2025-05-31 23:57:23,124 - pyskl - INFO - Epoch [89][2200/2353] lr: 8.904e-03, eta: 17:08:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 2.0681, loss: 2.0681 +2025-05-31 23:58:06,143 - pyskl - INFO - Epoch [89][2300/2353] lr: 8.893e-03, eta: 17:07:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 2.0126, loss: 2.0126 +2025-05-31 23:58:29,321 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-05-31 23:59:54,559 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 23:59:54,633 - pyskl - INFO - +top1_acc 0.9201 +top5_acc 0.9913 +2025-05-31 23:59:54,636 - pyskl - INFO - Epoch(val) [89][1184] top1_acc: 0.9201, top5_acc: 0.9913 +2025-06-01 00:00:57,951 - pyskl - INFO - Epoch [90][100/2353] lr: 8.877e-03, eta: 17:06:20, time: 0.633, data_time: 0.205, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9925, loss_cls: 1.9427, loss: 1.9427 +2025-06-01 00:01:40,845 - pyskl - INFO - Epoch [90][200/2353] lr: 8.866e-03, eta: 17:05:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 1.9355, loss: 1.9355 +2025-06-01 00:02:23,631 - pyskl - INFO - Epoch [90][300/2353] lr: 8.855e-03, eta: 17:04:54, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 2.0014, loss: 2.0014 +2025-06-01 00:03:06,465 - pyskl - INFO - Epoch [90][400/2353] lr: 8.845e-03, eta: 17:04:11, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 1.8960, loss: 1.8960 +2025-06-01 00:03:49,290 - pyskl - INFO - Epoch [90][500/2353] lr: 8.834e-03, eta: 17:03:28, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 1.9150, loss: 1.9150 +2025-06-01 00:04:32,164 - pyskl - INFO - Epoch [90][600/2353] lr: 8.823e-03, eta: 17:02:45, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 1.9444, loss: 1.9444 +2025-06-01 00:05:15,067 - pyskl - INFO - Epoch [90][700/2353] lr: 8.813e-03, eta: 17:02:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 1.8644, loss: 1.8644 +2025-06-01 00:05:57,737 - pyskl - INFO - Epoch [90][800/2353] lr: 8.802e-03, eta: 17:01:19, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 1.9226, loss: 1.9226 +2025-06-01 00:06:40,363 - pyskl - INFO - Epoch [90][900/2353] lr: 8.791e-03, eta: 17:00:36, time: 0.426, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 2.0221, loss: 2.0221 +2025-06-01 00:07:23,221 - pyskl - INFO - Epoch [90][1000/2353] lr: 8.781e-03, eta: 16:59:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 1.8726, loss: 1.8726 +2025-06-01 00:08:06,322 - pyskl - INFO - Epoch [90][1100/2353] lr: 8.770e-03, eta: 16:59:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 2.0158, loss: 2.0158 +2025-06-01 00:08:49,369 - pyskl - INFO - Epoch [90][1200/2353] lr: 8.760e-03, eta: 16:58:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 2.0289, loss: 2.0289 +2025-06-01 00:09:32,362 - pyskl - INFO - Epoch [90][1300/2353] lr: 8.749e-03, eta: 16:57:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 1.9963, loss: 1.9963 +2025-06-01 00:10:15,267 - pyskl - INFO - Epoch [90][1400/2353] lr: 8.738e-03, eta: 16:57:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 2.0000, loss: 2.0000 +2025-06-01 00:10:58,196 - pyskl - INFO - Epoch [90][1500/2353] lr: 8.728e-03, eta: 16:56:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9894, loss_cls: 2.0899, loss: 2.0899 +2025-06-01 00:11:41,153 - pyskl - INFO - Epoch [90][1600/2353] lr: 8.717e-03, eta: 16:55:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 2.0218, loss: 2.0218 +2025-06-01 00:12:24,053 - pyskl - INFO - Epoch [90][1700/2353] lr: 8.707e-03, eta: 16:54:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 2.0028, loss: 2.0028 +2025-06-01 00:13:07,060 - pyskl - INFO - Epoch [90][1800/2353] lr: 8.696e-03, eta: 16:54:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 2.0145, loss: 2.0145 +2025-06-01 00:13:49,955 - pyskl - INFO - Epoch [90][1900/2353] lr: 8.685e-03, eta: 16:53:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9900, loss_cls: 2.0108, loss: 2.0108 +2025-06-01 00:14:32,892 - pyskl - INFO - Epoch [90][2000/2353] lr: 8.675e-03, eta: 16:52:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9906, loss_cls: 1.9785, loss: 1.9785 +2025-06-01 00:15:15,862 - pyskl - INFO - Epoch [90][2100/2353] lr: 8.664e-03, eta: 16:52:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 2.2643, loss: 2.2643 +2025-06-01 00:15:58,996 - pyskl - INFO - Epoch [90][2200/2353] lr: 8.654e-03, eta: 16:51:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 2.0199, loss: 2.0199 +2025-06-01 00:16:42,012 - pyskl - INFO - Epoch [90][2300/2353] lr: 8.643e-03, eta: 16:50:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9900, loss_cls: 2.0092, loss: 2.0092 +2025-06-01 00:17:05,437 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-06-01 00:25:52,921 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 00:25:52,996 - pyskl - INFO - +top1_acc 0.9291 +top5_acc 0.9926 +2025-06-01 00:25:53,054 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_88.pth was removed +2025-06-01 00:25:54,112 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_90.pth. +2025-06-01 00:25:54,113 - pyskl - INFO - Best top1_acc is 0.9291 at 90 epoch. +2025-06-01 00:25:54,116 - pyskl - INFO - Epoch(val) [90][1184] top1_acc: 0.9291, top5_acc: 0.9926 +2025-06-01 00:26:57,276 - pyskl - INFO - Epoch [91][100/2353] lr: 8.627e-03, eta: 16:49:28, time: 0.632, data_time: 0.204, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 1.9204, loss: 1.9204 +2025-06-01 00:27:40,090 - pyskl - INFO - Epoch [91][200/2353] lr: 8.616e-03, eta: 16:48:45, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9912, loss_cls: 1.9656, loss: 1.9656 +2025-06-01 00:28:22,852 - pyskl - INFO - Epoch [91][300/2353] lr: 8.606e-03, eta: 16:48:01, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 1.9226, loss: 1.9226 +2025-06-01 00:29:05,683 - pyskl - INFO - Epoch [91][400/2353] lr: 8.595e-03, eta: 16:47:18, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 1.9982, loss: 1.9982 +2025-06-01 00:29:48,467 - pyskl - INFO - Epoch [91][500/2353] lr: 8.585e-03, eta: 16:46:35, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 1.9773, loss: 1.9773 +2025-06-01 00:30:31,230 - pyskl - INFO - Epoch [91][600/2353] lr: 8.574e-03, eta: 16:45:52, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 1.9994, loss: 1.9994 +2025-06-01 00:31:13,926 - pyskl - INFO - Epoch [91][700/2353] lr: 8.563e-03, eta: 16:45:09, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 1.9995, loss: 1.9995 +2025-06-01 00:31:56,724 - pyskl - INFO - Epoch [91][800/2353] lr: 8.553e-03, eta: 16:44:26, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 1.9893, loss: 1.9893 +2025-06-01 00:32:39,523 - pyskl - INFO - Epoch [91][900/2353] lr: 8.542e-03, eta: 16:43:43, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 1.9353, loss: 1.9353 +2025-06-01 00:33:22,661 - pyskl - INFO - Epoch [91][1000/2353] lr: 8.532e-03, eta: 16:43:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 2.0066, loss: 2.0066 +2025-06-01 00:34:05,646 - pyskl - INFO - Epoch [91][1100/2353] lr: 8.521e-03, eta: 16:42:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 2.0358, loss: 2.0358 +2025-06-01 00:34:48,638 - pyskl - INFO - Epoch [91][1200/2353] lr: 8.511e-03, eta: 16:41:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 1.9744, loss: 1.9744 +2025-06-01 00:35:31,601 - pyskl - INFO - Epoch [91][1300/2353] lr: 8.500e-03, eta: 16:40:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 2.0753, loss: 2.0753 +2025-06-01 00:36:14,403 - pyskl - INFO - Epoch [91][1400/2353] lr: 8.490e-03, eta: 16:40:09, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9875, loss_cls: 2.0452, loss: 2.0452 +2025-06-01 00:36:57,265 - pyskl - INFO - Epoch [91][1500/2353] lr: 8.479e-03, eta: 16:39:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 2.0090, loss: 2.0090 +2025-06-01 00:37:40,105 - pyskl - INFO - Epoch [91][1600/2353] lr: 8.468e-03, eta: 16:38:43, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 1.9796, loss: 1.9796 +2025-06-01 00:38:22,952 - pyskl - INFO - Epoch [91][1700/2353] lr: 8.458e-03, eta: 16:38:00, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 2.0301, loss: 2.0301 +2025-06-01 00:39:05,891 - pyskl - INFO - Epoch [91][1800/2353] lr: 8.447e-03, eta: 16:37:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 1.9644, loss: 1.9644 +2025-06-01 00:39:48,715 - pyskl - INFO - Epoch [91][1900/2353] lr: 8.437e-03, eta: 16:36:34, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9888, loss_cls: 1.9746, loss: 1.9746 +2025-06-01 00:40:31,669 - pyskl - INFO - Epoch [91][2000/2353] lr: 8.426e-03, eta: 16:35:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 1.9773, loss: 1.9773 +2025-06-01 00:41:14,722 - pyskl - INFO - Epoch [91][2100/2353] lr: 8.416e-03, eta: 16:35:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 1.9119, loss: 1.9119 +2025-06-01 00:41:57,696 - pyskl - INFO - Epoch [91][2200/2353] lr: 8.405e-03, eta: 16:34:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 1.9543, loss: 1.9543 +2025-06-01 00:42:40,745 - pyskl - INFO - Epoch [91][2300/2353] lr: 8.395e-03, eta: 16:33:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9950, loss_cls: 2.0145, loss: 2.0145 +2025-06-01 00:43:04,036 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-06-01 00:44:29,521 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 00:44:29,596 - pyskl - INFO - +top1_acc 0.9155 +top5_acc 0.9921 +2025-06-01 00:44:29,600 - pyskl - INFO - Epoch(val) [91][1184] top1_acc: 0.9155, top5_acc: 0.9921 +2025-06-01 00:45:32,934 - pyskl - INFO - Epoch [92][100/2353] lr: 8.379e-03, eta: 16:32:35, time: 0.633, data_time: 0.204, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 1.8693, loss: 1.8693 +2025-06-01 00:46:15,903 - pyskl - INFO - Epoch [92][200/2353] lr: 8.368e-03, eta: 16:31:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9906, loss_cls: 1.9800, loss: 1.9800 +2025-06-01 00:46:58,729 - pyskl - INFO - Epoch [92][300/2353] lr: 8.358e-03, eta: 16:31:09, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 2.0059, loss: 2.0059 +2025-06-01 00:47:41,713 - pyskl - INFO - Epoch [92][400/2353] lr: 8.347e-03, eta: 16:30:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 1.8977, loss: 1.8977 +2025-06-01 00:48:24,839 - pyskl - INFO - Epoch [92][500/2353] lr: 8.337e-03, eta: 16:29:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 1.9864, loss: 1.9864 +2025-06-01 00:49:07,732 - pyskl - INFO - Epoch [92][600/2353] lr: 8.326e-03, eta: 16:29:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 1.8837, loss: 1.8837 +2025-06-01 00:49:50,801 - pyskl - INFO - Epoch [92][700/2353] lr: 8.316e-03, eta: 16:28:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9950, loss_cls: 1.9089, loss: 1.9089 +2025-06-01 00:50:33,844 - pyskl - INFO - Epoch [92][800/2353] lr: 8.305e-03, eta: 16:27:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 1.9019, loss: 1.9019 +2025-06-01 00:51:16,666 - pyskl - INFO - Epoch [92][900/2353] lr: 8.295e-03, eta: 16:26:52, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9956, loss_cls: 1.9607, loss: 1.9607 +2025-06-01 00:51:59,501 - pyskl - INFO - Epoch [92][1000/2353] lr: 8.284e-03, eta: 16:26:09, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 1.9156, loss: 1.9156 +2025-06-01 00:52:42,384 - pyskl - INFO - Epoch [92][1100/2353] lr: 8.274e-03, eta: 16:25:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 1.8680, loss: 1.8680 +2025-06-01 00:53:25,310 - pyskl - INFO - Epoch [92][1200/2353] lr: 8.263e-03, eta: 16:24:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 1.9565, loss: 1.9565 +2025-06-01 00:54:08,225 - pyskl - INFO - Epoch [92][1300/2353] lr: 8.253e-03, eta: 16:24:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 1.9853, loss: 1.9853 +2025-06-01 00:54:51,321 - pyskl - INFO - Epoch [92][1400/2353] lr: 8.242e-03, eta: 16:23:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 1.9708, loss: 1.9708 +2025-06-01 00:55:34,233 - pyskl - INFO - Epoch [92][1500/2353] lr: 8.232e-03, eta: 16:22:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 2.0200, loss: 2.0200 +2025-06-01 00:56:17,177 - pyskl - INFO - Epoch [92][1600/2353] lr: 8.222e-03, eta: 16:21:51, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9950, loss_cls: 1.9751, loss: 1.9751 +2025-06-01 00:57:00,206 - pyskl - INFO - Epoch [92][1700/2353] lr: 8.211e-03, eta: 16:21:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 1.9962, loss: 1.9962 +2025-06-01 00:57:43,173 - pyskl - INFO - Epoch [92][1800/2353] lr: 8.201e-03, eta: 16:20:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 1.9592, loss: 1.9592 +2025-06-01 00:58:26,233 - pyskl - INFO - Epoch [92][1900/2353] lr: 8.190e-03, eta: 16:19:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9938, loss_cls: 2.0410, loss: 2.0410 +2025-06-01 00:59:09,262 - pyskl - INFO - Epoch [92][2000/2353] lr: 8.180e-03, eta: 16:19:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 1.9836, loss: 1.9836 +2025-06-01 00:59:52,191 - pyskl - INFO - Epoch [92][2100/2353] lr: 8.169e-03, eta: 16:18:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 1.9724, loss: 1.9724 +2025-06-01 01:00:35,574 - pyskl - INFO - Epoch [92][2200/2353] lr: 8.159e-03, eta: 16:17:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 2.1045, loss: 2.1045 +2025-06-01 01:01:18,706 - pyskl - INFO - Epoch [92][2300/2353] lr: 8.148e-03, eta: 16:16:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 1.9908, loss: 1.9908 +2025-06-01 01:01:42,073 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-06-01 01:03:07,397 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 01:03:07,473 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9928 +2025-06-01 01:03:07,476 - pyskl - INFO - Epoch(val) [92][1184] top1_acc: 0.9257, top5_acc: 0.9928 +2025-06-01 01:04:11,181 - pyskl - INFO - Epoch [93][100/2353] lr: 8.133e-03, eta: 16:15:45, time: 0.637, data_time: 0.204, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 1.8439, loss: 1.8439 +2025-06-01 01:04:54,172 - pyskl - INFO - Epoch [93][200/2353] lr: 8.122e-03, eta: 16:15:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 1.8241, loss: 1.8241 +2025-06-01 01:05:37,090 - pyskl - INFO - Epoch [93][300/2353] lr: 8.112e-03, eta: 16:14:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 1.8545, loss: 1.8545 +2025-06-01 01:06:19,956 - pyskl - INFO - Epoch [93][400/2353] lr: 8.101e-03, eta: 16:13:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9962, loss_cls: 1.9124, loss: 1.9124 +2025-06-01 01:07:02,846 - pyskl - INFO - Epoch [93][500/2353] lr: 8.091e-03, eta: 16:12:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9906, loss_cls: 1.9026, loss: 1.9026 +2025-06-01 01:07:45,809 - pyskl - INFO - Epoch [93][600/2353] lr: 8.080e-03, eta: 16:12:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 1.9075, loss: 1.9075 +2025-06-01 01:08:28,802 - pyskl - INFO - Epoch [93][700/2353] lr: 8.070e-03, eta: 16:11:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 1.9833, loss: 1.9833 +2025-06-01 01:09:11,832 - pyskl - INFO - Epoch [93][800/2353] lr: 8.060e-03, eta: 16:10:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 2.0290, loss: 2.0290 +2025-06-01 01:09:54,703 - pyskl - INFO - Epoch [93][900/2353] lr: 8.049e-03, eta: 16:10:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9888, loss_cls: 1.9520, loss: 1.9520 +2025-06-01 01:10:37,546 - pyskl - INFO - Epoch [93][1000/2353] lr: 8.039e-03, eta: 16:09:18, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 1.8382, loss: 1.8382 +2025-06-01 01:11:20,430 - pyskl - INFO - Epoch [93][1100/2353] lr: 8.028e-03, eta: 16:08:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9969, loss_cls: 1.9194, loss: 1.9194 +2025-06-01 01:12:03,382 - pyskl - INFO - Epoch [93][1200/2353] lr: 8.018e-03, eta: 16:07:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9888, loss_cls: 2.0308, loss: 2.0308 +2025-06-01 01:12:46,194 - pyskl - INFO - Epoch [93][1300/2353] lr: 8.008e-03, eta: 16:07:09, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 1.9739, loss: 1.9739 +2025-06-01 01:13:29,069 - pyskl - INFO - Epoch [93][1400/2353] lr: 7.997e-03, eta: 16:06:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 1.9354, loss: 1.9354 +2025-06-01 01:14:12,022 - pyskl - INFO - Epoch [93][1500/2353] lr: 7.987e-03, eta: 16:05:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 1.9116, loss: 1.9116 +2025-06-01 01:14:55,169 - pyskl - INFO - Epoch [93][1600/2353] lr: 7.977e-03, eta: 16:05:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 1.9609, loss: 1.9609 +2025-06-01 01:15:38,149 - pyskl - INFO - Epoch [93][1700/2353] lr: 7.966e-03, eta: 16:04:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 1.9703, loss: 1.9703 +2025-06-01 01:16:21,080 - pyskl - INFO - Epoch [93][1800/2353] lr: 7.956e-03, eta: 16:03:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 2.0780, loss: 2.0780 +2025-06-01 01:17:04,043 - pyskl - INFO - Epoch [93][1900/2353] lr: 7.945e-03, eta: 16:02:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 1.8935, loss: 1.8935 +2025-06-01 01:17:47,073 - pyskl - INFO - Epoch [93][2000/2353] lr: 7.935e-03, eta: 16:02:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 1.9592, loss: 1.9592 +2025-06-01 01:18:30,137 - pyskl - INFO - Epoch [93][2100/2353] lr: 7.925e-03, eta: 16:01:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 1.9808, loss: 1.9808 +2025-06-01 01:19:13,171 - pyskl - INFO - Epoch [93][2200/2353] lr: 7.914e-03, eta: 16:00:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 2.0121, loss: 2.0121 +2025-06-01 01:19:56,153 - pyskl - INFO - Epoch [93][2300/2353] lr: 7.904e-03, eta: 16:00:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 1.9651, loss: 1.9651 +2025-06-01 01:20:19,531 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-06-01 01:21:45,153 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 01:21:45,229 - pyskl - INFO - +top1_acc 0.9125 +top5_acc 0.9922 +2025-06-01 01:21:45,232 - pyskl - INFO - Epoch(val) [93][1184] top1_acc: 0.9125, top5_acc: 0.9922 +2025-06-01 01:22:49,009 - pyskl - INFO - Epoch [94][100/2353] lr: 7.888e-03, eta: 15:58:54, time: 0.638, data_time: 0.207, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 1.9538, loss: 1.9538 +2025-06-01 01:23:32,073 - pyskl - INFO - Epoch [94][200/2353] lr: 7.878e-03, eta: 15:58:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 1.8538, loss: 1.8538 +2025-06-01 01:24:15,042 - pyskl - INFO - Epoch [94][300/2353] lr: 7.868e-03, eta: 15:57:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 1.8017, loss: 1.8017 +2025-06-01 01:24:58,000 - pyskl - INFO - Epoch [94][400/2353] lr: 7.857e-03, eta: 15:56:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9912, loss_cls: 1.9172, loss: 1.9172 +2025-06-01 01:25:40,854 - pyskl - INFO - Epoch [94][500/2353] lr: 7.847e-03, eta: 15:56:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 1.7814, loss: 1.7814 +2025-06-01 01:26:23,813 - pyskl - INFO - Epoch [94][600/2353] lr: 7.837e-03, eta: 15:55:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 1.9089, loss: 1.9089 +2025-06-01 01:27:06,735 - pyskl - INFO - Epoch [94][700/2353] lr: 7.826e-03, eta: 15:54:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 1.8247, loss: 1.8247 +2025-06-01 01:27:49,800 - pyskl - INFO - Epoch [94][800/2353] lr: 7.816e-03, eta: 15:53:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 1.9288, loss: 1.9288 +2025-06-01 01:28:32,821 - pyskl - INFO - Epoch [94][900/2353] lr: 7.806e-03, eta: 15:53:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 1.9279, loss: 1.9279 +2025-06-01 01:29:15,742 - pyskl - INFO - Epoch [94][1000/2353] lr: 7.795e-03, eta: 15:52:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 1.8705, loss: 1.8705 +2025-06-01 01:29:58,715 - pyskl - INFO - Epoch [94][1100/2353] lr: 7.785e-03, eta: 15:51:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 1.9300, loss: 1.9300 +2025-06-01 01:30:41,793 - pyskl - INFO - Epoch [94][1200/2353] lr: 7.775e-03, eta: 15:51:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9912, loss_cls: 1.9370, loss: 1.9370 +2025-06-01 01:31:24,808 - pyskl - INFO - Epoch [94][1300/2353] lr: 7.764e-03, eta: 15:50:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 1.9647, loss: 1.9647 +2025-06-01 01:32:07,813 - pyskl - INFO - Epoch [94][1400/2353] lr: 7.754e-03, eta: 15:49:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 1.9540, loss: 1.9540 +2025-06-01 01:32:50,871 - pyskl - INFO - Epoch [94][1500/2353] lr: 7.744e-03, eta: 15:48:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 1.8721, loss: 1.8721 +2025-06-01 01:33:33,876 - pyskl - INFO - Epoch [94][1600/2353] lr: 7.734e-03, eta: 15:48:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 1.9723, loss: 1.9723 +2025-06-01 01:34:16,894 - pyskl - INFO - Epoch [94][1700/2353] lr: 7.723e-03, eta: 15:47:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 1.9952, loss: 1.9952 +2025-06-01 01:34:59,973 - pyskl - INFO - Epoch [94][1800/2353] lr: 7.713e-03, eta: 15:46:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 1.8737, loss: 1.8737 +2025-06-01 01:35:43,006 - pyskl - INFO - Epoch [94][1900/2353] lr: 7.703e-03, eta: 15:46:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 1.9395, loss: 1.9395 +2025-06-01 01:36:26,075 - pyskl - INFO - Epoch [94][2000/2353] lr: 7.692e-03, eta: 15:45:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 1.9312, loss: 1.9312 +2025-06-01 01:37:09,201 - pyskl - INFO - Epoch [94][2100/2353] lr: 7.682e-03, eta: 15:44:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9956, loss_cls: 1.9229, loss: 1.9229 +2025-06-01 01:37:52,298 - pyskl - INFO - Epoch [94][2200/2353] lr: 7.672e-03, eta: 15:43:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 2.0023, loss: 2.0023 +2025-06-01 01:38:35,390 - pyskl - INFO - Epoch [94][2300/2353] lr: 7.662e-03, eta: 15:43:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 1.9831, loss: 1.9831 +2025-06-01 01:38:58,754 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-06-01 01:40:24,323 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 01:40:24,399 - pyskl - INFO - +top1_acc 0.9089 +top5_acc 0.9926 +2025-06-01 01:40:24,402 - pyskl - INFO - Epoch(val) [94][1184] top1_acc: 0.9089, top5_acc: 0.9926 +2025-06-01 01:41:28,173 - pyskl - INFO - Epoch [95][100/2353] lr: 7.646e-03, eta: 15:42:03, time: 0.638, data_time: 0.205, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 1.8108, loss: 1.8108 +2025-06-01 01:42:11,072 - pyskl - INFO - Epoch [95][200/2353] lr: 7.636e-03, eta: 15:41:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 1.7113, loss: 1.7113 +2025-06-01 01:42:54,034 - pyskl - INFO - Epoch [95][300/2353] lr: 7.625e-03, eta: 15:40:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 1.8667, loss: 1.8667 +2025-06-01 01:43:36,983 - pyskl - INFO - Epoch [95][400/2353] lr: 7.615e-03, eta: 15:39:55, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 1.8758, loss: 1.8758 +2025-06-01 01:44:19,945 - pyskl - INFO - Epoch [95][500/2353] lr: 7.605e-03, eta: 15:39:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 1.8067, loss: 1.8067 +2025-06-01 01:45:02,889 - pyskl - INFO - Epoch [95][600/2353] lr: 7.595e-03, eta: 15:38:29, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9962, loss_cls: 1.9555, loss: 1.9555 +2025-06-01 01:45:45,789 - pyskl - INFO - Epoch [95][700/2353] lr: 7.584e-03, eta: 15:37:46, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9906, loss_cls: 1.9248, loss: 1.9248 +2025-06-01 01:46:28,795 - pyskl - INFO - Epoch [95][800/2353] lr: 7.574e-03, eta: 15:37:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 1.8085, loss: 1.8085 +2025-06-01 01:47:11,734 - pyskl - INFO - Epoch [95][900/2353] lr: 7.564e-03, eta: 15:36:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9931, loss_cls: 1.8517, loss: 1.8517 +2025-06-01 01:47:54,628 - pyskl - INFO - Epoch [95][1000/2353] lr: 7.554e-03, eta: 15:35:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 1.9308, loss: 1.9308 +2025-06-01 01:48:37,525 - pyskl - INFO - Epoch [95][1100/2353] lr: 7.544e-03, eta: 15:34:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 1.8208, loss: 1.8208 +2025-06-01 01:49:20,537 - pyskl - INFO - Epoch [95][1200/2353] lr: 7.533e-03, eta: 15:34:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9912, loss_cls: 1.8332, loss: 1.8332 +2025-06-01 01:50:03,553 - pyskl - INFO - Epoch [95][1300/2353] lr: 7.523e-03, eta: 15:33:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9906, loss_cls: 1.8966, loss: 1.8966 +2025-06-01 01:50:46,470 - pyskl - INFO - Epoch [95][1400/2353] lr: 7.513e-03, eta: 15:32:46, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 1.9324, loss: 1.9324 +2025-06-01 01:51:29,430 - pyskl - INFO - Epoch [95][1500/2353] lr: 7.503e-03, eta: 15:32:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9969, loss_cls: 1.9021, loss: 1.9021 +2025-06-01 01:52:12,625 - pyskl - INFO - Epoch [95][1600/2353] lr: 7.493e-03, eta: 15:31:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 2.0062, loss: 2.0062 +2025-06-01 01:52:55,759 - pyskl - INFO - Epoch [95][1700/2353] lr: 7.482e-03, eta: 15:30:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 2.0024, loss: 2.0024 +2025-06-01 01:53:38,701 - pyskl - INFO - Epoch [95][1800/2353] lr: 7.472e-03, eta: 15:29:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9975, loss_cls: 1.8904, loss: 1.8904 +2025-06-01 01:54:21,551 - pyskl - INFO - Epoch [95][1900/2353] lr: 7.462e-03, eta: 15:29:11, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 1.8633, loss: 1.8633 +2025-06-01 01:55:04,490 - pyskl - INFO - Epoch [95][2000/2353] lr: 7.452e-03, eta: 15:28:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9950, loss_cls: 1.9984, loss: 1.9984 +2025-06-01 01:55:47,613 - pyskl - INFO - Epoch [95][2100/2353] lr: 7.442e-03, eta: 15:27:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 1.8921, loss: 1.8921 +2025-06-01 01:56:30,720 - pyskl - INFO - Epoch [95][2200/2353] lr: 7.431e-03, eta: 15:27:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 1.9463, loss: 1.9463 +2025-06-01 01:57:14,108 - pyskl - INFO - Epoch [95][2300/2353] lr: 7.421e-03, eta: 15:26:20, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 1.9379, loss: 1.9379 +2025-06-01 01:57:37,641 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-06-01 02:06:46,386 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 02:06:46,461 - pyskl - INFO - +top1_acc 0.9225 +top5_acc 0.9929 +2025-06-01 02:06:46,464 - pyskl - INFO - Epoch(val) [95][1184] top1_acc: 0.9225, top5_acc: 0.9929 +2025-06-01 02:07:50,374 - pyskl - INFO - Epoch [96][100/2353] lr: 7.406e-03, eta: 15:25:13, time: 0.639, data_time: 0.211, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 1.8497, loss: 1.8497 +2025-06-01 02:08:33,080 - pyskl - INFO - Epoch [96][200/2353] lr: 7.396e-03, eta: 15:24:30, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 1.8684, loss: 1.8684 +2025-06-01 02:09:15,921 - pyskl - INFO - Epoch [96][300/2353] lr: 7.385e-03, eta: 15:23:47, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 1.8307, loss: 1.8307 +2025-06-01 02:09:58,812 - pyskl - INFO - Epoch [96][400/2353] lr: 7.375e-03, eta: 15:23:04, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 1.7697, loss: 1.7697 +2025-06-01 02:10:41,713 - pyskl - INFO - Epoch [96][500/2353] lr: 7.365e-03, eta: 15:22:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 1.8898, loss: 1.8898 +2025-06-01 02:11:24,616 - pyskl - INFO - Epoch [96][600/2353] lr: 7.355e-03, eta: 15:21:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 1.8319, loss: 1.8319 +2025-06-01 02:12:07,609 - pyskl - INFO - Epoch [96][700/2353] lr: 7.345e-03, eta: 15:20:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 1.8772, loss: 1.8772 +2025-06-01 02:12:50,709 - pyskl - INFO - Epoch [96][800/2353] lr: 7.335e-03, eta: 15:20:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9962, loss_cls: 1.9461, loss: 1.9461 +2025-06-01 02:13:33,733 - pyskl - INFO - Epoch [96][900/2353] lr: 7.325e-03, eta: 15:19:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 1.8338, loss: 1.8338 +2025-06-01 02:14:16,749 - pyskl - INFO - Epoch [96][1000/2353] lr: 7.314e-03, eta: 15:18:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 1.8400, loss: 1.8400 +2025-06-01 02:14:59,797 - pyskl - INFO - Epoch [96][1100/2353] lr: 7.304e-03, eta: 15:18:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 1.8516, loss: 1.8516 +2025-06-01 02:15:42,760 - pyskl - INFO - Epoch [96][1200/2353] lr: 7.294e-03, eta: 15:17:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9906, loss_cls: 1.9291, loss: 1.9291 +2025-06-01 02:16:25,829 - pyskl - INFO - Epoch [96][1300/2353] lr: 7.284e-03, eta: 15:16:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9944, loss_cls: 1.9065, loss: 1.9065 +2025-06-01 02:17:08,787 - pyskl - INFO - Epoch [96][1400/2353] lr: 7.274e-03, eta: 15:15:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 1.9147, loss: 1.9147 +2025-06-01 02:17:51,864 - pyskl - INFO - Epoch [96][1500/2353] lr: 7.264e-03, eta: 15:15:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 1.8771, loss: 1.8771 +2025-06-01 02:18:34,822 - pyskl - INFO - Epoch [96][1600/2353] lr: 7.254e-03, eta: 15:14:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 1.8480, loss: 1.8480 +2025-06-01 02:19:17,731 - pyskl - INFO - Epoch [96][1700/2353] lr: 7.244e-03, eta: 15:13:47, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 1.8977, loss: 1.8977 +2025-06-01 02:20:00,690 - pyskl - INFO - Epoch [96][1800/2353] lr: 7.234e-03, eta: 15:13:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 1.9192, loss: 1.9192 +2025-06-01 02:20:43,639 - pyskl - INFO - Epoch [96][1900/2353] lr: 7.224e-03, eta: 15:12:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 1.9435, loss: 1.9435 +2025-06-01 02:21:26,564 - pyskl - INFO - Epoch [96][2000/2353] lr: 7.213e-03, eta: 15:11:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9956, loss_cls: 1.8996, loss: 1.8996 +2025-06-01 02:22:09,422 - pyskl - INFO - Epoch [96][2100/2353] lr: 7.203e-03, eta: 15:10:55, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9981, loss_cls: 1.8759, loss: 1.8759 +2025-06-01 02:22:52,419 - pyskl - INFO - Epoch [96][2200/2353] lr: 7.193e-03, eta: 15:10:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 1.8519, loss: 1.8519 +2025-06-01 02:23:35,507 - pyskl - INFO - Epoch [96][2300/2353] lr: 7.183e-03, eta: 15:09:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 1.9127, loss: 1.9127 +2025-06-01 02:23:58,902 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-06-01 02:25:24,285 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 02:25:24,361 - pyskl - INFO - +top1_acc 0.9165 +top5_acc 0.9939 +2025-06-01 02:25:24,364 - pyskl - INFO - Epoch(val) [96][1184] top1_acc: 0.9165, top5_acc: 0.9939 +2025-06-01 02:26:27,757 - pyskl - INFO - Epoch [97][100/2353] lr: 7.168e-03, eta: 15:08:22, time: 0.634, data_time: 0.204, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 1.8463, loss: 1.8463 +2025-06-01 02:27:10,820 - pyskl - INFO - Epoch [97][200/2353] lr: 7.158e-03, eta: 15:07:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 1.8066, loss: 1.8066 +2025-06-01 02:27:53,763 - pyskl - INFO - Epoch [97][300/2353] lr: 7.148e-03, eta: 15:06:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 1.8103, loss: 1.8103 +2025-06-01 02:28:36,808 - pyskl - INFO - Epoch [97][400/2353] lr: 7.138e-03, eta: 15:06:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 1.7515, loss: 1.7515 +2025-06-01 02:29:19,917 - pyskl - INFO - Epoch [97][500/2353] lr: 7.128e-03, eta: 15:05:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 1.8834, loss: 1.8834 +2025-06-01 02:30:02,937 - pyskl - INFO - Epoch [97][600/2353] lr: 7.118e-03, eta: 15:04:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 1.8321, loss: 1.8321 +2025-06-01 02:30:46,033 - pyskl - INFO - Epoch [97][700/2353] lr: 7.107e-03, eta: 15:04:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 1.8216, loss: 1.8216 +2025-06-01 02:31:29,121 - pyskl - INFO - Epoch [97][800/2353] lr: 7.097e-03, eta: 15:03:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 1.8058, loss: 1.8058 +2025-06-01 02:32:12,192 - pyskl - INFO - Epoch [97][900/2353] lr: 7.087e-03, eta: 15:02:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 1.7928, loss: 1.7928 +2025-06-01 02:32:55,270 - pyskl - INFO - Epoch [97][1000/2353] lr: 7.077e-03, eta: 15:01:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9931, loss_cls: 1.8812, loss: 1.8812 +2025-06-01 02:33:38,342 - pyskl - INFO - Epoch [97][1100/2353] lr: 7.067e-03, eta: 15:01:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 1.8441, loss: 1.8441 +2025-06-01 02:34:21,416 - pyskl - INFO - Epoch [97][1200/2353] lr: 7.057e-03, eta: 15:00:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 1.8728, loss: 1.8728 +2025-06-01 02:35:04,676 - pyskl - INFO - Epoch [97][1300/2353] lr: 7.047e-03, eta: 14:59:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 1.8148, loss: 1.8148 +2025-06-01 02:35:47,750 - pyskl - INFO - Epoch [97][1400/2353] lr: 7.037e-03, eta: 14:59:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 1.8429, loss: 1.8429 +2025-06-01 02:36:30,764 - pyskl - INFO - Epoch [97][1500/2353] lr: 7.027e-03, eta: 14:58:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 1.8760, loss: 1.8760 +2025-06-01 02:37:13,843 - pyskl - INFO - Epoch [97][1600/2353] lr: 7.017e-03, eta: 14:57:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 1.8833, loss: 1.8833 +2025-06-01 02:37:56,834 - pyskl - INFO - Epoch [97][1700/2353] lr: 7.007e-03, eta: 14:56:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 1.8226, loss: 1.8226 +2025-06-01 02:38:39,780 - pyskl - INFO - Epoch [97][1800/2353] lr: 6.997e-03, eta: 14:56:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 1.8790, loss: 1.8790 +2025-06-01 02:39:22,780 - pyskl - INFO - Epoch [97][1900/2353] lr: 6.987e-03, eta: 14:55:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 1.8291, loss: 1.8291 +2025-06-01 02:40:05,780 - pyskl - INFO - Epoch [97][2000/2353] lr: 6.977e-03, eta: 14:54:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 1.8362, loss: 1.8362 +2025-06-01 02:40:48,790 - pyskl - INFO - Epoch [97][2100/2353] lr: 6.967e-03, eta: 14:54:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 1.8868, loss: 1.8868 +2025-06-01 02:41:31,917 - pyskl - INFO - Epoch [97][2200/2353] lr: 6.957e-03, eta: 14:53:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9969, loss_cls: 1.8578, loss: 1.8578 +2025-06-01 02:42:15,166 - pyskl - INFO - Epoch [97][2300/2353] lr: 6.947e-03, eta: 14:52:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 1.9521, loss: 1.9521 +2025-06-01 02:42:38,664 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-06-01 02:44:04,157 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 02:44:04,232 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9931 +2025-06-01 02:44:04,236 - pyskl - INFO - Epoch(val) [97][1184] top1_acc: 0.9271, top5_acc: 0.9931 +2025-06-01 02:45:07,654 - pyskl - INFO - Epoch [98][100/2353] lr: 6.932e-03, eta: 14:51:32, time: 0.634, data_time: 0.204, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 1.7570, loss: 1.7570 +2025-06-01 02:45:50,631 - pyskl - INFO - Epoch [98][200/2353] lr: 6.922e-03, eta: 14:50:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 1.7992, loss: 1.7992 +2025-06-01 02:46:33,647 - pyskl - INFO - Epoch [98][300/2353] lr: 6.912e-03, eta: 14:50:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 1.8628, loss: 1.8628 +2025-06-01 02:47:16,749 - pyskl - INFO - Epoch [98][400/2353] lr: 6.902e-03, eta: 14:49:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 1.7624, loss: 1.7624 +2025-06-01 02:47:59,821 - pyskl - INFO - Epoch [98][500/2353] lr: 6.892e-03, eta: 14:48:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 1.8074, loss: 1.8074 +2025-06-01 02:48:42,809 - pyskl - INFO - Epoch [98][600/2353] lr: 6.882e-03, eta: 14:47:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 1.8736, loss: 1.8736 +2025-06-01 02:49:25,920 - pyskl - INFO - Epoch [98][700/2353] lr: 6.873e-03, eta: 14:47:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 1.8573, loss: 1.8573 +2025-06-01 02:50:08,935 - pyskl - INFO - Epoch [98][800/2353] lr: 6.863e-03, eta: 14:46:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 1.7356, loss: 1.7356 +2025-06-01 02:50:52,006 - pyskl - INFO - Epoch [98][900/2353] lr: 6.853e-03, eta: 14:45:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 1.8702, loss: 1.8702 +2025-06-01 02:51:34,801 - pyskl - INFO - Epoch [98][1000/2353] lr: 6.843e-03, eta: 14:45:06, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 1.7383, loss: 1.7383 +2025-06-01 02:52:17,788 - pyskl - INFO - Epoch [98][1100/2353] lr: 6.833e-03, eta: 14:44:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 1.8692, loss: 1.8692 +2025-06-01 02:53:01,003 - pyskl - INFO - Epoch [98][1200/2353] lr: 6.823e-03, eta: 14:43:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 1.7912, loss: 1.7912 +2025-06-01 02:53:44,257 - pyskl - INFO - Epoch [98][1300/2353] lr: 6.813e-03, eta: 14:42:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 1.8562, loss: 1.8562 +2025-06-01 02:54:27,553 - pyskl - INFO - Epoch [98][1400/2353] lr: 6.803e-03, eta: 14:42:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9969, loss_cls: 1.9783, loss: 1.9783 +2025-06-01 02:55:10,681 - pyskl - INFO - Epoch [98][1500/2353] lr: 6.793e-03, eta: 14:41:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 1.8309, loss: 1.8309 +2025-06-01 02:55:53,673 - pyskl - INFO - Epoch [98][1600/2353] lr: 6.783e-03, eta: 14:40:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 1.8082, loss: 1.8082 +2025-06-01 02:56:36,726 - pyskl - INFO - Epoch [98][1700/2353] lr: 6.773e-03, eta: 14:40:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 1.8558, loss: 1.8558 +2025-06-01 02:57:19,781 - pyskl - INFO - Epoch [98][1800/2353] lr: 6.763e-03, eta: 14:39:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 1.8157, loss: 1.8157 +2025-06-01 02:58:02,772 - pyskl - INFO - Epoch [98][1900/2353] lr: 6.754e-03, eta: 14:38:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 1.8967, loss: 1.8967 +2025-06-01 02:58:45,738 - pyskl - INFO - Epoch [98][2000/2353] lr: 6.744e-03, eta: 14:37:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 1.8413, loss: 1.8413 +2025-06-01 02:59:28,790 - pyskl - INFO - Epoch [98][2100/2353] lr: 6.734e-03, eta: 14:37:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 1.9275, loss: 1.9275 +2025-06-01 03:00:11,921 - pyskl - INFO - Epoch [98][2200/2353] lr: 6.724e-03, eta: 14:36:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 1.8852, loss: 1.8852 +2025-06-01 03:00:55,033 - pyskl - INFO - Epoch [98][2300/2353] lr: 6.714e-03, eta: 14:35:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 1.7935, loss: 1.7935 +2025-06-01 03:01:18,456 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-06-01 03:02:43,943 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 03:02:44,017 - pyskl - INFO - +top1_acc 0.9214 +top5_acc 0.9920 +2025-06-01 03:02:44,020 - pyskl - INFO - Epoch(val) [98][1184] top1_acc: 0.9214, top5_acc: 0.9920 +2025-06-01 03:03:46,804 - pyskl - INFO - Epoch [99][100/2353] lr: 6.699e-03, eta: 14:34:42, time: 0.628, data_time: 0.199, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 1.7198, loss: 1.7198 +2025-06-01 03:04:29,812 - pyskl - INFO - Epoch [99][200/2353] lr: 6.689e-03, eta: 14:33:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 1.7554, loss: 1.7554 +2025-06-01 03:05:12,825 - pyskl - INFO - Epoch [99][300/2353] lr: 6.679e-03, eta: 14:33:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 1.8082, loss: 1.8082 +2025-06-01 03:05:55,805 - pyskl - INFO - Epoch [99][400/2353] lr: 6.669e-03, eta: 14:32:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 1.6901, loss: 1.6901 +2025-06-01 03:06:38,860 - pyskl - INFO - Epoch [99][500/2353] lr: 6.660e-03, eta: 14:31:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 1.8565, loss: 1.8565 +2025-06-01 03:07:21,832 - pyskl - INFO - Epoch [99][600/2353] lr: 6.650e-03, eta: 14:31:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 1.7745, loss: 1.7745 +2025-06-01 03:08:04,841 - pyskl - INFO - Epoch [99][700/2353] lr: 6.640e-03, eta: 14:30:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9956, loss_cls: 1.7542, loss: 1.7542 +2025-06-01 03:08:47,901 - pyskl - INFO - Epoch [99][800/2353] lr: 6.630e-03, eta: 14:29:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 1.7936, loss: 1.7936 +2025-06-01 03:09:30,919 - pyskl - INFO - Epoch [99][900/2353] lr: 6.620e-03, eta: 14:28:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 1.7874, loss: 1.7874 +2025-06-01 03:10:13,893 - pyskl - INFO - Epoch [99][1000/2353] lr: 6.611e-03, eta: 14:28:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 1.8492, loss: 1.8492 +2025-06-01 03:10:56,845 - pyskl - INFO - Epoch [99][1100/2353] lr: 6.601e-03, eta: 14:27:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 1.8110, loss: 1.8110 +2025-06-01 03:11:39,856 - pyskl - INFO - Epoch [99][1200/2353] lr: 6.591e-03, eta: 14:26:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 1.8103, loss: 1.8103 +2025-06-01 03:12:22,965 - pyskl - INFO - Epoch [99][1300/2353] lr: 6.581e-03, eta: 14:26:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 1.8005, loss: 1.8005 +2025-06-01 03:13:05,952 - pyskl - INFO - Epoch [99][1400/2353] lr: 6.571e-03, eta: 14:25:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 1.8475, loss: 1.8475 +2025-06-01 03:13:48,863 - pyskl - INFO - Epoch [99][1500/2353] lr: 6.562e-03, eta: 14:24:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 1.8722, loss: 1.8722 +2025-06-01 03:14:31,830 - pyskl - INFO - Epoch [99][1600/2353] lr: 6.552e-03, eta: 14:23:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 1.9188, loss: 1.9188 +2025-06-01 03:15:14,804 - pyskl - INFO - Epoch [99][1700/2353] lr: 6.542e-03, eta: 14:23:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 1.9068, loss: 1.9068 +2025-06-01 03:15:57,751 - pyskl - INFO - Epoch [99][1800/2353] lr: 6.532e-03, eta: 14:22:33, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 1.8933, loss: 1.8933 +2025-06-01 03:16:40,633 - pyskl - INFO - Epoch [99][1900/2353] lr: 6.522e-03, eta: 14:21:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 1.8643, loss: 1.8643 +2025-06-01 03:17:23,522 - pyskl - INFO - Epoch [99][2000/2353] lr: 6.513e-03, eta: 14:21:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 1.8356, loss: 1.8356 +2025-06-01 03:18:06,437 - pyskl - INFO - Epoch [99][2100/2353] lr: 6.503e-03, eta: 14:20:24, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 1.7984, loss: 1.7984 +2025-06-01 03:18:49,865 - pyskl - INFO - Epoch [99][2200/2353] lr: 6.493e-03, eta: 14:19:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 1.7238, loss: 1.7238 +2025-06-01 03:19:32,943 - pyskl - INFO - Epoch [99][2300/2353] lr: 6.483e-03, eta: 14:18:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9962, loss_cls: 1.8537, loss: 1.8537 +2025-06-01 03:19:56,258 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-06-01 03:21:21,793 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 03:21:21,867 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9904 +2025-06-01 03:21:21,870 - pyskl - INFO - Epoch(val) [99][1184] top1_acc: 0.9153, top5_acc: 0.9904 +2025-06-01 03:22:25,204 - pyskl - INFO - Epoch [100][100/2353] lr: 6.468e-03, eta: 14:17:52, time: 0.633, data_time: 0.201, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 1.7114, loss: 1.7114 +2025-06-01 03:23:08,286 - pyskl - INFO - Epoch [100][200/2353] lr: 6.459e-03, eta: 14:17:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 1.6870, loss: 1.6870 +2025-06-01 03:23:51,374 - pyskl - INFO - Epoch [100][300/2353] lr: 6.449e-03, eta: 14:16:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 1.7427, loss: 1.7427 +2025-06-01 03:24:34,414 - pyskl - INFO - Epoch [100][400/2353] lr: 6.439e-03, eta: 14:15:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 1.7244, loss: 1.7244 +2025-06-01 03:25:17,471 - pyskl - INFO - Epoch [100][500/2353] lr: 6.429e-03, eta: 14:15:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 1.6844, loss: 1.6844 +2025-06-01 03:26:00,491 - pyskl - INFO - Epoch [100][600/2353] lr: 6.420e-03, eta: 14:14:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 1.7671, loss: 1.7671 +2025-06-01 03:26:43,645 - pyskl - INFO - Epoch [100][700/2353] lr: 6.410e-03, eta: 14:13:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 1.7060, loss: 1.7060 +2025-06-01 03:27:26,742 - pyskl - INFO - Epoch [100][800/2353] lr: 6.400e-03, eta: 14:12:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 1.7986, loss: 1.7986 +2025-06-01 03:28:09,749 - pyskl - INFO - Epoch [100][900/2353] lr: 6.391e-03, eta: 14:12:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 1.8389, loss: 1.8389 +2025-06-01 03:28:52,799 - pyskl - INFO - Epoch [100][1000/2353] lr: 6.381e-03, eta: 14:11:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 1.8118, loss: 1.8118 +2025-06-01 03:29:35,837 - pyskl - INFO - Epoch [100][1100/2353] lr: 6.371e-03, eta: 14:10:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 1.6960, loss: 1.6960 +2025-06-01 03:30:18,794 - pyskl - INFO - Epoch [100][1200/2353] lr: 6.362e-03, eta: 14:10:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9944, loss_cls: 1.7589, loss: 1.7589 +2025-06-01 03:31:01,877 - pyskl - INFO - Epoch [100][1300/2353] lr: 6.352e-03, eta: 14:09:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 1.8451, loss: 1.8451 +2025-06-01 03:31:44,812 - pyskl - INFO - Epoch [100][1400/2353] lr: 6.342e-03, eta: 14:08:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 1.8615, loss: 1.8615 +2025-06-01 03:32:27,747 - pyskl - INFO - Epoch [100][1500/2353] lr: 6.332e-03, eta: 14:07:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 1.8207, loss: 1.8207 +2025-06-01 03:33:10,732 - pyskl - INFO - Epoch [100][1600/2353] lr: 6.323e-03, eta: 14:07:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9969, loss_cls: 1.8188, loss: 1.8188 +2025-06-01 03:33:53,665 - pyskl - INFO - Epoch [100][1700/2353] lr: 6.313e-03, eta: 14:06:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 1.8023, loss: 1.8023 +2025-06-01 03:34:36,666 - pyskl - INFO - Epoch [100][1800/2353] lr: 6.303e-03, eta: 14:05:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 1.8550, loss: 1.8550 +2025-06-01 03:35:19,529 - pyskl - INFO - Epoch [100][1900/2353] lr: 6.294e-03, eta: 14:05:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 1.8062, loss: 1.8062 +2025-06-01 03:36:02,644 - pyskl - INFO - Epoch [100][2000/2353] lr: 6.284e-03, eta: 14:04:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 1.7803, loss: 1.7803 +2025-06-01 03:36:45,586 - pyskl - INFO - Epoch [100][2100/2353] lr: 6.274e-03, eta: 14:03:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 1.8359, loss: 1.8359 +2025-06-01 03:37:28,720 - pyskl - INFO - Epoch [100][2200/2353] lr: 6.265e-03, eta: 14:02:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 1.8738, loss: 1.8738 +2025-06-01 03:38:11,840 - pyskl - INFO - Epoch [100][2300/2353] lr: 6.255e-03, eta: 14:02:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 1.9058, loss: 1.9058 +2025-06-01 03:38:35,416 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-06-01 03:47:12,069 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 03:47:12,144 - pyskl - INFO - +top1_acc 0.9182 +top5_acc 0.9927 +2025-06-01 03:47:12,148 - pyskl - INFO - Epoch(val) [100][1184] top1_acc: 0.9182, top5_acc: 0.9927 +2025-06-01 03:48:15,373 - pyskl - INFO - Epoch [101][100/2353] lr: 6.240e-03, eta: 14:01:02, time: 0.632, data_time: 0.202, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 1.7811, loss: 1.7811 +2025-06-01 03:48:58,349 - pyskl - INFO - Epoch [101][200/2353] lr: 6.231e-03, eta: 14:00:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 1.7085, loss: 1.7085 +2025-06-01 03:49:41,223 - pyskl - INFO - Epoch [101][300/2353] lr: 6.221e-03, eta: 13:59:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 1.7671, loss: 1.7671 +2025-06-01 03:50:24,137 - pyskl - INFO - Epoch [101][400/2353] lr: 6.212e-03, eta: 13:58:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 1.7106, loss: 1.7106 +2025-06-01 03:51:07,024 - pyskl - INFO - Epoch [101][500/2353] lr: 6.202e-03, eta: 13:58:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 1.7470, loss: 1.7470 +2025-06-01 03:51:49,829 - pyskl - INFO - Epoch [101][600/2353] lr: 6.192e-03, eta: 13:57:27, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 1.7882, loss: 1.7882 +2025-06-01 03:52:32,863 - pyskl - INFO - Epoch [101][700/2353] lr: 6.183e-03, eta: 13:56:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 1.7664, loss: 1.7664 +2025-06-01 03:53:15,896 - pyskl - INFO - Epoch [101][800/2353] lr: 6.173e-03, eta: 13:56:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 1.7391, loss: 1.7391 +2025-06-01 03:53:58,905 - pyskl - INFO - Epoch [101][900/2353] lr: 6.164e-03, eta: 13:55:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 1.7616, loss: 1.7616 +2025-06-01 03:54:41,960 - pyskl - INFO - Epoch [101][1000/2353] lr: 6.154e-03, eta: 13:54:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 1.6496, loss: 1.6496 +2025-06-01 03:55:25,031 - pyskl - INFO - Epoch [101][1100/2353] lr: 6.144e-03, eta: 13:53:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 1.7587, loss: 1.7587 +2025-06-01 03:56:08,136 - pyskl - INFO - Epoch [101][1200/2353] lr: 6.135e-03, eta: 13:53:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 1.7691, loss: 1.7691 +2025-06-01 03:56:51,356 - pyskl - INFO - Epoch [101][1300/2353] lr: 6.125e-03, eta: 13:52:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 1.8079, loss: 1.8079 +2025-06-01 03:57:34,352 - pyskl - INFO - Epoch [101][1400/2353] lr: 6.116e-03, eta: 13:51:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 1.7796, loss: 1.7796 +2025-06-01 03:58:17,419 - pyskl - INFO - Epoch [101][1500/2353] lr: 6.106e-03, eta: 13:51:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9919, loss_cls: 1.8373, loss: 1.8373 +2025-06-01 03:59:00,482 - pyskl - INFO - Epoch [101][1600/2353] lr: 6.097e-03, eta: 13:50:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 1.8360, loss: 1.8360 +2025-06-01 03:59:43,444 - pyskl - INFO - Epoch [101][1700/2353] lr: 6.087e-03, eta: 13:49:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 1.8602, loss: 1.8602 +2025-06-01 04:00:26,474 - pyskl - INFO - Epoch [101][1800/2353] lr: 6.077e-03, eta: 13:48:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 1.8584, loss: 1.8584 +2025-06-01 04:01:09,451 - pyskl - INFO - Epoch [101][1900/2353] lr: 6.068e-03, eta: 13:48:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 1.8656, loss: 1.8656 +2025-06-01 04:01:52,409 - pyskl - INFO - Epoch [101][2000/2353] lr: 6.058e-03, eta: 13:47:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 1.8838, loss: 1.8838 +2025-06-01 04:02:35,442 - pyskl - INFO - Epoch [101][2100/2353] lr: 6.049e-03, eta: 13:46:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 1.8053, loss: 1.8053 +2025-06-01 04:03:18,510 - pyskl - INFO - Epoch [101][2200/2353] lr: 6.039e-03, eta: 13:46:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 1.7722, loss: 1.7722 +2025-06-01 04:04:01,742 - pyskl - INFO - Epoch [101][2300/2353] lr: 6.030e-03, eta: 13:45:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 1.7444, loss: 1.7444 +2025-06-01 04:04:25,133 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-06-01 04:05:50,943 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 04:05:51,018 - pyskl - INFO - +top1_acc 0.9379 +top5_acc 0.9937 +2025-06-01 04:05:51,072 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_90.pth was removed +2025-06-01 04:05:52,110 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. +2025-06-01 04:05:52,111 - pyskl - INFO - Best top1_acc is 0.9379 at 101 epoch. +2025-06-01 04:05:52,114 - pyskl - INFO - Epoch(val) [101][1184] top1_acc: 0.9379, top5_acc: 0.9937 +2025-06-01 04:06:55,349 - pyskl - INFO - Epoch [102][100/2353] lr: 6.015e-03, eta: 13:44:11, time: 0.632, data_time: 0.204, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 1.7491, loss: 1.7491 +2025-06-01 04:07:38,193 - pyskl - INFO - Epoch [102][200/2353] lr: 6.006e-03, eta: 13:43:28, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 1.7257, loss: 1.7257 +2025-06-01 04:08:20,972 - pyskl - INFO - Epoch [102][300/2353] lr: 5.996e-03, eta: 13:42:45, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 1.7153, loss: 1.7153 +2025-06-01 04:09:04,022 - pyskl - INFO - Epoch [102][400/2353] lr: 5.987e-03, eta: 13:42:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.6740, loss: 1.6740 +2025-06-01 04:09:47,071 - pyskl - INFO - Epoch [102][500/2353] lr: 5.977e-03, eta: 13:41:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 1.7536, loss: 1.7536 +2025-06-01 04:10:30,132 - pyskl - INFO - Epoch [102][600/2353] lr: 5.968e-03, eta: 13:40:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 1.7501, loss: 1.7501 +2025-06-01 04:11:13,348 - pyskl - INFO - Epoch [102][700/2353] lr: 5.958e-03, eta: 13:39:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 1.7628, loss: 1.7628 +2025-06-01 04:11:56,626 - pyskl - INFO - Epoch [102][800/2353] lr: 5.949e-03, eta: 13:39:11, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 1.6390, loss: 1.6390 +2025-06-01 04:12:39,757 - pyskl - INFO - Epoch [102][900/2353] lr: 5.939e-03, eta: 13:38:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 1.7231, loss: 1.7231 +2025-06-01 04:13:22,749 - pyskl - INFO - Epoch [102][1000/2353] lr: 5.930e-03, eta: 13:37:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 1.7685, loss: 1.7685 +2025-06-01 04:14:05,794 - pyskl - INFO - Epoch [102][1100/2353] lr: 5.920e-03, eta: 13:37:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 1.7403, loss: 1.7403 +2025-06-01 04:14:48,745 - pyskl - INFO - Epoch [102][1200/2353] lr: 5.911e-03, eta: 13:36:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 1.7415, loss: 1.7415 +2025-06-01 04:15:31,754 - pyskl - INFO - Epoch [102][1300/2353] lr: 5.901e-03, eta: 13:35:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 1.7812, loss: 1.7812 +2025-06-01 04:16:14,825 - pyskl - INFO - Epoch [102][1400/2353] lr: 5.892e-03, eta: 13:34:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 1.7757, loss: 1.7757 +2025-06-01 04:16:58,045 - pyskl - INFO - Epoch [102][1500/2353] lr: 5.883e-03, eta: 13:34:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 1.8430, loss: 1.8430 +2025-06-01 04:17:41,163 - pyskl - INFO - Epoch [102][1600/2353] lr: 5.873e-03, eta: 13:33:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 1.7693, loss: 1.7693 +2025-06-01 04:18:24,290 - pyskl - INFO - Epoch [102][1700/2353] lr: 5.864e-03, eta: 13:32:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 1.6845, loss: 1.6845 +2025-06-01 04:19:07,352 - pyskl - INFO - Epoch [102][1800/2353] lr: 5.854e-03, eta: 13:32:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 1.7435, loss: 1.7435 +2025-06-01 04:19:50,366 - pyskl - INFO - Epoch [102][1900/2353] lr: 5.845e-03, eta: 13:31:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 1.7347, loss: 1.7347 +2025-06-01 04:20:33,367 - pyskl - INFO - Epoch [102][2000/2353] lr: 5.835e-03, eta: 13:30:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 1.9384, loss: 1.9384 +2025-06-01 04:21:16,349 - pyskl - INFO - Epoch [102][2100/2353] lr: 5.826e-03, eta: 13:29:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 1.9104, loss: 1.9104 +2025-06-01 04:21:59,479 - pyskl - INFO - Epoch [102][2200/2353] lr: 5.817e-03, eta: 13:29:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 1.8379, loss: 1.8379 +2025-06-01 04:22:42,639 - pyskl - INFO - Epoch [102][2300/2353] lr: 5.807e-03, eta: 13:28:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9981, loss_cls: 1.7918, loss: 1.7918 +2025-06-01 04:23:06,068 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-06-01 04:24:31,316 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 04:24:31,392 - pyskl - INFO - +top1_acc 0.9289 +top5_acc 0.9935 +2025-06-01 04:24:31,395 - pyskl - INFO - Epoch(val) [102][1184] top1_acc: 0.9289, top5_acc: 0.9935 +2025-06-01 04:25:34,536 - pyskl - INFO - Epoch [103][100/2353] lr: 5.793e-03, eta: 13:27:21, time: 0.631, data_time: 0.202, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 1.5935, loss: 1.5935 +2025-06-01 04:26:17,530 - pyskl - INFO - Epoch [103][200/2353] lr: 5.783e-03, eta: 13:26:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 1.7106, loss: 1.7106 +2025-06-01 04:27:00,477 - pyskl - INFO - Epoch [103][300/2353] lr: 5.774e-03, eta: 13:25:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 1.6684, loss: 1.6684 +2025-06-01 04:27:43,469 - pyskl - INFO - Epoch [103][400/2353] lr: 5.765e-03, eta: 13:25:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 1.7180, loss: 1.7180 +2025-06-01 04:28:26,574 - pyskl - INFO - Epoch [103][500/2353] lr: 5.755e-03, eta: 13:24:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 1.7142, loss: 1.7142 +2025-06-01 04:29:09,574 - pyskl - INFO - Epoch [103][600/2353] lr: 5.746e-03, eta: 13:23:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 1.6586, loss: 1.6586 +2025-06-01 04:29:52,577 - pyskl - INFO - Epoch [103][700/2353] lr: 5.737e-03, eta: 13:23:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 1.7646, loss: 1.7646 +2025-06-01 04:30:35,645 - pyskl - INFO - Epoch [103][800/2353] lr: 5.727e-03, eta: 13:22:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 1.6554, loss: 1.6554 +2025-06-01 04:31:18,619 - pyskl - INFO - Epoch [103][900/2353] lr: 5.718e-03, eta: 13:21:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 1.7596, loss: 1.7596 +2025-06-01 04:32:01,604 - pyskl - INFO - Epoch [103][1000/2353] lr: 5.709e-03, eta: 13:20:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 1.6692, loss: 1.6692 +2025-06-01 04:32:44,531 - pyskl - INFO - Epoch [103][1100/2353] lr: 5.699e-03, eta: 13:20:12, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 1.7270, loss: 1.7270 +2025-06-01 04:33:27,546 - pyskl - INFO - Epoch [103][1200/2353] lr: 5.690e-03, eta: 13:19:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 1.6885, loss: 1.6885 +2025-06-01 04:34:10,593 - pyskl - INFO - Epoch [103][1300/2353] lr: 5.681e-03, eta: 13:18:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 1.6798, loss: 1.6798 +2025-06-01 04:34:53,666 - pyskl - INFO - Epoch [103][1400/2353] lr: 5.671e-03, eta: 13:18:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 1.7182, loss: 1.7182 +2025-06-01 04:35:36,931 - pyskl - INFO - Epoch [103][1500/2353] lr: 5.662e-03, eta: 13:17:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 1.7510, loss: 1.7510 +2025-06-01 04:36:19,945 - pyskl - INFO - Epoch [103][1600/2353] lr: 5.653e-03, eta: 13:16:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 1.7180, loss: 1.7180 +2025-06-01 04:37:02,922 - pyskl - INFO - Epoch [103][1700/2353] lr: 5.643e-03, eta: 13:15:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 1.7982, loss: 1.7982 +2025-06-01 04:37:45,824 - pyskl - INFO - Epoch [103][1800/2353] lr: 5.634e-03, eta: 13:15:12, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 1.8094, loss: 1.8094 +2025-06-01 04:38:28,689 - pyskl - INFO - Epoch [103][1900/2353] lr: 5.625e-03, eta: 13:14:29, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 1.7193, loss: 1.7193 +2025-06-01 04:39:11,646 - pyskl - INFO - Epoch [103][2000/2353] lr: 5.615e-03, eta: 13:13:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 1.8436, loss: 1.8436 +2025-06-01 04:39:54,594 - pyskl - INFO - Epoch [103][2100/2353] lr: 5.606e-03, eta: 13:13:03, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 1.7001, loss: 1.7001 +2025-06-01 04:40:37,600 - pyskl - INFO - Epoch [103][2200/2353] lr: 5.597e-03, eta: 13:12:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9925, loss_cls: 1.7731, loss: 1.7731 +2025-06-01 04:41:20,644 - pyskl - INFO - Epoch [103][2300/2353] lr: 5.588e-03, eta: 13:11:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 1.7378, loss: 1.7378 +2025-06-01 04:41:44,038 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-06-01 04:43:09,736 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 04:43:09,812 - pyskl - INFO - +top1_acc 0.9266 +top5_acc 0.9927 +2025-06-01 04:43:09,815 - pyskl - INFO - Epoch(val) [103][1184] top1_acc: 0.9266, top5_acc: 0.9927 +2025-06-01 04:44:13,154 - pyskl - INFO - Epoch [104][100/2353] lr: 5.573e-03, eta: 13:10:31, time: 0.633, data_time: 0.204, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 1.6361, loss: 1.6361 +2025-06-01 04:44:56,020 - pyskl - INFO - Epoch [104][200/2353] lr: 5.564e-03, eta: 13:09:48, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 1.6344, loss: 1.6344 +2025-06-01 04:45:38,939 - pyskl - INFO - Epoch [104][300/2353] lr: 5.555e-03, eta: 13:09:05, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 1.7212, loss: 1.7212 +2025-06-01 04:46:21,888 - pyskl - INFO - Epoch [104][400/2353] lr: 5.546e-03, eta: 13:08:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 1.6350, loss: 1.6350 +2025-06-01 04:47:04,827 - pyskl - INFO - Epoch [104][500/2353] lr: 5.536e-03, eta: 13:07:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 1.6123, loss: 1.6123 +2025-06-01 04:47:47,870 - pyskl - INFO - Epoch [104][600/2353] lr: 5.527e-03, eta: 13:06:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 1.6891, loss: 1.6891 +2025-06-01 04:48:30,827 - pyskl - INFO - Epoch [104][700/2353] lr: 5.518e-03, eta: 13:06:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 1.7376, loss: 1.7376 +2025-06-01 04:49:13,977 - pyskl - INFO - Epoch [104][800/2353] lr: 5.509e-03, eta: 13:05:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 1.7303, loss: 1.7303 +2025-06-01 04:49:56,910 - pyskl - INFO - Epoch [104][900/2353] lr: 5.500e-03, eta: 13:04:48, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 1.7277, loss: 1.7277 +2025-06-01 04:50:39,825 - pyskl - INFO - Epoch [104][1000/2353] lr: 5.490e-03, eta: 13:04:05, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 1.7392, loss: 1.7392 +2025-06-01 04:51:22,692 - pyskl - INFO - Epoch [104][1100/2353] lr: 5.481e-03, eta: 13:03:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 1.6910, loss: 1.6910 +2025-06-01 04:52:05,694 - pyskl - INFO - Epoch [104][1200/2353] lr: 5.472e-03, eta: 13:02:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9950, loss_cls: 1.7128, loss: 1.7128 +2025-06-01 04:52:48,668 - pyskl - INFO - Epoch [104][1300/2353] lr: 5.463e-03, eta: 13:01:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 1.6717, loss: 1.6717 +2025-06-01 04:53:31,656 - pyskl - INFO - Epoch [104][1400/2353] lr: 5.453e-03, eta: 13:01:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9931, loss_cls: 1.7755, loss: 1.7755 +2025-06-01 04:54:14,947 - pyskl - INFO - Epoch [104][1500/2353] lr: 5.444e-03, eta: 13:00:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 1.6414, loss: 1.6414 +2025-06-01 04:54:57,931 - pyskl - INFO - Epoch [104][1600/2353] lr: 5.435e-03, eta: 12:59:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 1.6750, loss: 1.6750 +2025-06-01 04:55:40,893 - pyskl - INFO - Epoch [104][1700/2353] lr: 5.426e-03, eta: 12:59:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 1.6183, loss: 1.6183 +2025-06-01 04:56:23,869 - pyskl - INFO - Epoch [104][1800/2353] lr: 5.417e-03, eta: 12:58:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9981, loss_cls: 1.7653, loss: 1.7653 +2025-06-01 04:57:07,052 - pyskl - INFO - Epoch [104][1900/2353] lr: 5.408e-03, eta: 12:57:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 1.7532, loss: 1.7532 +2025-06-01 04:57:50,094 - pyskl - INFO - Epoch [104][2000/2353] lr: 5.398e-03, eta: 12:56:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 1.7159, loss: 1.7159 +2025-06-01 04:58:33,227 - pyskl - INFO - Epoch [104][2100/2353] lr: 5.389e-03, eta: 12:56:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 1.7210, loss: 1.7210 +2025-06-01 04:59:16,247 - pyskl - INFO - Epoch [104][2200/2353] lr: 5.380e-03, eta: 12:55:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 1.7480, loss: 1.7480 +2025-06-01 04:59:59,388 - pyskl - INFO - Epoch [104][2300/2353] lr: 5.371e-03, eta: 12:54:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 1.6896, loss: 1.6896 +2025-06-01 05:00:22,820 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-06-01 05:01:48,379 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 05:01:48,454 - pyskl - INFO - +top1_acc 0.9308 +top5_acc 0.9932 +2025-06-01 05:01:48,457 - pyskl - INFO - Epoch(val) [104][1184] top1_acc: 0.9308, top5_acc: 0.9932 +2025-06-01 05:02:51,694 - pyskl - INFO - Epoch [105][100/2353] lr: 5.357e-03, eta: 12:53:41, time: 0.632, data_time: 0.205, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.6206, loss: 1.6206 +2025-06-01 05:03:34,618 - pyskl - INFO - Epoch [105][200/2353] lr: 5.348e-03, eta: 12:52:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 1.6724, loss: 1.6724 +2025-06-01 05:04:17,589 - pyskl - INFO - Epoch [105][300/2353] lr: 5.339e-03, eta: 12:52:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 1.5783, loss: 1.5783 +2025-06-01 05:05:00,591 - pyskl - INFO - Epoch [105][400/2353] lr: 5.330e-03, eta: 12:51:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 1.7058, loss: 1.7058 +2025-06-01 05:05:43,544 - pyskl - INFO - Epoch [105][500/2353] lr: 5.321e-03, eta: 12:50:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.6162, loss: 1.6162 +2025-06-01 05:06:26,525 - pyskl - INFO - Epoch [105][600/2353] lr: 5.311e-03, eta: 12:50:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 1.6138, loss: 1.6138 +2025-06-01 05:07:09,514 - pyskl - INFO - Epoch [105][700/2353] lr: 5.302e-03, eta: 12:49:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 1.7031, loss: 1.7031 +2025-06-01 05:07:52,481 - pyskl - INFO - Epoch [105][800/2353] lr: 5.293e-03, eta: 12:48:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 1.6758, loss: 1.6758 +2025-06-01 05:08:35,525 - pyskl - INFO - Epoch [105][900/2353] lr: 5.284e-03, eta: 12:47:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 1.7362, loss: 1.7362 +2025-06-01 05:09:18,454 - pyskl - INFO - Epoch [105][1000/2353] lr: 5.275e-03, eta: 12:47:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 1.6820, loss: 1.6820 +2025-06-01 05:10:01,423 - pyskl - INFO - Epoch [105][1100/2353] lr: 5.266e-03, eta: 12:46:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 1.6585, loss: 1.6585 +2025-06-01 05:10:44,255 - pyskl - INFO - Epoch [105][1200/2353] lr: 5.257e-03, eta: 12:45:49, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9944, loss_cls: 1.6956, loss: 1.6956 +2025-06-01 05:11:27,289 - pyskl - INFO - Epoch [105][1300/2353] lr: 5.248e-03, eta: 12:45:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9925, loss_cls: 1.7366, loss: 1.7366 +2025-06-01 05:12:10,214 - pyskl - INFO - Epoch [105][1400/2353] lr: 5.239e-03, eta: 12:44:23, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 1.6775, loss: 1.6775 +2025-06-01 05:12:53,208 - pyskl - INFO - Epoch [105][1500/2353] lr: 5.230e-03, eta: 12:43:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 1.6854, loss: 1.6854 +2025-06-01 05:13:36,188 - pyskl - INFO - Epoch [105][1600/2353] lr: 5.221e-03, eta: 12:42:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 1.7501, loss: 1.7501 +2025-06-01 05:14:19,181 - pyskl - INFO - Epoch [105][1700/2353] lr: 5.212e-03, eta: 12:42:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 1.7287, loss: 1.7287 +2025-06-01 05:15:02,179 - pyskl - INFO - Epoch [105][1800/2353] lr: 5.203e-03, eta: 12:41:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 1.7209, loss: 1.7209 +2025-06-01 05:15:45,157 - pyskl - INFO - Epoch [105][1900/2353] lr: 5.194e-03, eta: 12:40:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 1.7489, loss: 1.7489 +2025-06-01 05:16:28,216 - pyskl - INFO - Epoch [105][2000/2353] lr: 5.185e-03, eta: 12:40:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 1.6960, loss: 1.6960 +2025-06-01 05:17:11,278 - pyskl - INFO - Epoch [105][2100/2353] lr: 5.176e-03, eta: 12:39:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 1.6819, loss: 1.6819 +2025-06-01 05:17:54,316 - pyskl - INFO - Epoch [105][2200/2353] lr: 5.167e-03, eta: 12:38:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 1.7247, loss: 1.7247 +2025-06-01 05:18:37,440 - pyskl - INFO - Epoch [105][2300/2353] lr: 5.158e-03, eta: 12:37:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 1.7881, loss: 1.7881 +2025-06-01 05:19:00,818 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-06-01 05:28:10,538 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 05:28:10,614 - pyskl - INFO - +top1_acc 0.9274 +top5_acc 0.9928 +2025-06-01 05:28:10,617 - pyskl - INFO - Epoch(val) [105][1184] top1_acc: 0.9274, top5_acc: 0.9928 +2025-06-01 05:29:13,860 - pyskl - INFO - Epoch [106][100/2353] lr: 5.144e-03, eta: 12:36:50, time: 0.632, data_time: 0.204, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 1.6229, loss: 1.6229 +2025-06-01 05:29:56,770 - pyskl - INFO - Epoch [106][200/2353] lr: 5.135e-03, eta: 12:36:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 1.6118, loss: 1.6118 +2025-06-01 05:30:39,529 - pyskl - INFO - Epoch [106][300/2353] lr: 5.126e-03, eta: 12:35:24, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 1.6138, loss: 1.6138 +2025-06-01 05:31:22,376 - pyskl - INFO - Epoch [106][400/2353] lr: 5.117e-03, eta: 12:34:41, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 1.6085, loss: 1.6085 +2025-06-01 05:32:05,213 - pyskl - INFO - Epoch [106][500/2353] lr: 5.108e-03, eta: 12:33:58, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 1.6119, loss: 1.6119 +2025-06-01 05:32:48,149 - pyskl - INFO - Epoch [106][600/2353] lr: 5.099e-03, eta: 12:33:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 1.6077, loss: 1.6077 +2025-06-01 05:33:31,024 - pyskl - INFO - Epoch [106][700/2353] lr: 5.090e-03, eta: 12:32:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 1.7033, loss: 1.7033 +2025-06-01 05:34:13,903 - pyskl - INFO - Epoch [106][800/2353] lr: 5.081e-03, eta: 12:31:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 1.6577, loss: 1.6577 +2025-06-01 05:34:56,764 - pyskl - INFO - Epoch [106][900/2353] lr: 5.072e-03, eta: 12:31:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 1.7055, loss: 1.7055 +2025-06-01 05:35:39,680 - pyskl - INFO - Epoch [106][1000/2353] lr: 5.063e-03, eta: 12:30:23, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 1.6698, loss: 1.6698 +2025-06-01 05:36:22,628 - pyskl - INFO - Epoch [106][1100/2353] lr: 5.054e-03, eta: 12:29:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 1.6547, loss: 1.6547 +2025-06-01 05:37:05,613 - pyskl - INFO - Epoch [106][1200/2353] lr: 5.045e-03, eta: 12:28:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 1.6651, loss: 1.6651 +2025-06-01 05:37:48,691 - pyskl - INFO - Epoch [106][1300/2353] lr: 5.036e-03, eta: 12:28:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 1.7418, loss: 1.7418 +2025-06-01 05:38:31,745 - pyskl - INFO - Epoch [106][1400/2353] lr: 5.027e-03, eta: 12:27:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 1.7317, loss: 1.7317 +2025-06-01 05:39:14,686 - pyskl - INFO - Epoch [106][1500/2353] lr: 5.018e-03, eta: 12:26:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 1.7040, loss: 1.7040 +2025-06-01 05:39:57,580 - pyskl - INFO - Epoch [106][1600/2353] lr: 5.010e-03, eta: 12:26:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 1.7012, loss: 1.7012 +2025-06-01 05:40:40,624 - pyskl - INFO - Epoch [106][1700/2353] lr: 5.001e-03, eta: 12:25:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 1.6969, loss: 1.6969 +2025-06-01 05:41:23,685 - pyskl - INFO - Epoch [106][1800/2353] lr: 4.992e-03, eta: 12:24:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 1.6744, loss: 1.6744 +2025-06-01 05:42:06,669 - pyskl - INFO - Epoch [106][1900/2353] lr: 4.983e-03, eta: 12:23:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 1.7664, loss: 1.7664 +2025-06-01 05:42:49,583 - pyskl - INFO - Epoch [106][2000/2353] lr: 4.974e-03, eta: 12:23:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 1.7163, loss: 1.7163 +2025-06-01 05:43:32,548 - pyskl - INFO - Epoch [106][2100/2353] lr: 4.965e-03, eta: 12:22:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 1.6492, loss: 1.6492 +2025-06-01 05:44:15,388 - pyskl - INFO - Epoch [106][2200/2353] lr: 4.956e-03, eta: 12:21:49, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9931, loss_cls: 1.6614, loss: 1.6614 +2025-06-01 05:44:58,435 - pyskl - INFO - Epoch [106][2300/2353] lr: 4.947e-03, eta: 12:21:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 1.6861, loss: 1.6861 +2025-06-01 05:45:21,743 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-06-01 05:46:46,918 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 05:46:46,993 - pyskl - INFO - +top1_acc 0.9343 +top5_acc 0.9946 +2025-06-01 05:46:46,996 - pyskl - INFO - Epoch(val) [106][1184] top1_acc: 0.9343, top5_acc: 0.9946 +2025-06-01 05:47:50,581 - pyskl - INFO - Epoch [107][100/2353] lr: 4.934e-03, eta: 12:19:59, time: 0.636, data_time: 0.206, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 1.6524, loss: 1.6524 +2025-06-01 05:48:33,582 - pyskl - INFO - Epoch [107][200/2353] lr: 4.925e-03, eta: 12:19:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 1.5293, loss: 1.5293 +2025-06-01 05:49:16,567 - pyskl - INFO - Epoch [107][300/2353] lr: 4.916e-03, eta: 12:18:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.5866, loss: 1.5866 +2025-06-01 05:49:59,580 - pyskl - INFO - Epoch [107][400/2353] lr: 4.907e-03, eta: 12:17:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.5698, loss: 1.5698 +2025-06-01 05:50:42,428 - pyskl - INFO - Epoch [107][500/2353] lr: 4.898e-03, eta: 12:17:07, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 1.5608, loss: 1.5608 +2025-06-01 05:51:25,397 - pyskl - INFO - Epoch [107][600/2353] lr: 4.890e-03, eta: 12:16:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 1.6532, loss: 1.6532 +2025-06-01 05:52:08,318 - pyskl - INFO - Epoch [107][700/2353] lr: 4.881e-03, eta: 12:15:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 1.6289, loss: 1.6289 +2025-06-01 05:52:51,289 - pyskl - INFO - Epoch [107][800/2353] lr: 4.872e-03, eta: 12:14:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 1.6229, loss: 1.6229 +2025-06-01 05:53:34,174 - pyskl - INFO - Epoch [107][900/2353] lr: 4.863e-03, eta: 12:14:16, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 1.5818, loss: 1.5818 +2025-06-01 05:54:17,087 - pyskl - INFO - Epoch [107][1000/2353] lr: 4.854e-03, eta: 12:13:33, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 1.6344, loss: 1.6344 +2025-06-01 05:54:59,958 - pyskl - INFO - Epoch [107][1100/2353] lr: 4.845e-03, eta: 12:12:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9956, loss_cls: 1.6421, loss: 1.6421 +2025-06-01 05:55:42,882 - pyskl - INFO - Epoch [107][1200/2353] lr: 4.837e-03, eta: 12:12:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 1.7010, loss: 1.7010 +2025-06-01 05:56:25,745 - pyskl - INFO - Epoch [107][1300/2353] lr: 4.828e-03, eta: 12:11:24, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.6554, loss: 1.6554 +2025-06-01 05:57:08,779 - pyskl - INFO - Epoch [107][1400/2353] lr: 4.819e-03, eta: 12:10:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 1.5890, loss: 1.5890 +2025-06-01 05:57:51,885 - pyskl - INFO - Epoch [107][1500/2353] lr: 4.810e-03, eta: 12:09:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 1.6415, loss: 1.6415 +2025-06-01 05:58:34,817 - pyskl - INFO - Epoch [107][1600/2353] lr: 4.802e-03, eta: 12:09:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 1.6400, loss: 1.6400 +2025-06-01 05:59:17,714 - pyskl - INFO - Epoch [107][1700/2353] lr: 4.793e-03, eta: 12:08:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 1.6751, loss: 1.6751 +2025-06-01 06:00:00,571 - pyskl - INFO - Epoch [107][1800/2353] lr: 4.784e-03, eta: 12:07:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 1.6352, loss: 1.6352 +2025-06-01 06:00:43,501 - pyskl - INFO - Epoch [107][1900/2353] lr: 4.775e-03, eta: 12:07:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 1.6617, loss: 1.6617 +2025-06-01 06:01:26,544 - pyskl - INFO - Epoch [107][2000/2353] lr: 4.767e-03, eta: 12:06:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 1.7221, loss: 1.7221 +2025-06-01 06:02:09,474 - pyskl - INFO - Epoch [107][2100/2353] lr: 4.758e-03, eta: 12:05:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 1.6018, loss: 1.6018 +2025-06-01 06:02:52,512 - pyskl - INFO - Epoch [107][2200/2353] lr: 4.749e-03, eta: 12:04:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 1.7663, loss: 1.7663 +2025-06-01 06:03:35,456 - pyskl - INFO - Epoch [107][2300/2353] lr: 4.740e-03, eta: 12:04:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 1.6544, loss: 1.6544 +2025-06-01 06:03:58,862 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-06-01 06:05:24,472 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 06:05:24,546 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9931 +2025-06-01 06:05:24,550 - pyskl - INFO - Epoch(val) [107][1184] top1_acc: 0.9327, top5_acc: 0.9931 +2025-06-01 06:06:27,818 - pyskl - INFO - Epoch [108][100/2353] lr: 4.727e-03, eta: 12:03:08, time: 0.633, data_time: 0.203, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 1.5087, loss: 1.5087 +2025-06-01 06:07:10,787 - pyskl - INFO - Epoch [108][200/2353] lr: 4.718e-03, eta: 12:02:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.6036, loss: 1.6036 +2025-06-01 06:07:53,719 - pyskl - INFO - Epoch [108][300/2353] lr: 4.710e-03, eta: 12:01:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 1.5439, loss: 1.5439 +2025-06-01 06:08:36,704 - pyskl - INFO - Epoch [108][400/2353] lr: 4.701e-03, eta: 12:01:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 1.5937, loss: 1.5937 +2025-06-01 06:09:19,613 - pyskl - INFO - Epoch [108][500/2353] lr: 4.692e-03, eta: 12:00:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 1.7100, loss: 1.7100 +2025-06-01 06:10:02,630 - pyskl - INFO - Epoch [108][600/2353] lr: 4.684e-03, eta: 11:59:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 1.5974, loss: 1.5974 +2025-06-01 06:10:45,664 - pyskl - INFO - Epoch [108][700/2353] lr: 4.675e-03, eta: 11:58:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 1.6440, loss: 1.6440 +2025-06-01 06:11:28,623 - pyskl - INFO - Epoch [108][800/2353] lr: 4.666e-03, eta: 11:58:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 1.5818, loss: 1.5818 +2025-06-01 06:12:11,596 - pyskl - INFO - Epoch [108][900/2353] lr: 4.658e-03, eta: 11:57:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.5856, loss: 1.5856 +2025-06-01 06:12:54,561 - pyskl - INFO - Epoch [108][1000/2353] lr: 4.649e-03, eta: 11:56:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 1.6173, loss: 1.6173 +2025-06-01 06:13:37,608 - pyskl - INFO - Epoch [108][1100/2353] lr: 4.640e-03, eta: 11:55:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 1.6155, loss: 1.6155 +2025-06-01 06:14:20,643 - pyskl - INFO - Epoch [108][1200/2353] lr: 4.632e-03, eta: 11:55:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 1.5379, loss: 1.5379 +2025-06-01 06:15:03,705 - pyskl - INFO - Epoch [108][1300/2353] lr: 4.623e-03, eta: 11:54:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 1.5632, loss: 1.5632 +2025-06-01 06:15:46,740 - pyskl - INFO - Epoch [108][1400/2353] lr: 4.614e-03, eta: 11:53:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 1.5799, loss: 1.5799 +2025-06-01 06:16:29,787 - pyskl - INFO - Epoch [108][1500/2353] lr: 4.606e-03, eta: 11:53:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 1.5738, loss: 1.5738 +2025-06-01 06:17:12,761 - pyskl - INFO - Epoch [108][1600/2353] lr: 4.597e-03, eta: 11:52:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 1.6427, loss: 1.6427 +2025-06-01 06:17:55,816 - pyskl - INFO - Epoch [108][1700/2353] lr: 4.588e-03, eta: 11:51:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 1.6576, loss: 1.6576 +2025-06-01 06:18:38,891 - pyskl - INFO - Epoch [108][1800/2353] lr: 4.580e-03, eta: 11:50:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 1.7100, loss: 1.7100 +2025-06-01 06:19:21,894 - pyskl - INFO - Epoch [108][1900/2353] lr: 4.571e-03, eta: 11:50:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 1.6614, loss: 1.6614 +2025-06-01 06:20:04,882 - pyskl - INFO - Epoch [108][2000/2353] lr: 4.563e-03, eta: 11:49:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 1.6774, loss: 1.6774 +2025-06-01 06:20:47,929 - pyskl - INFO - Epoch [108][2100/2353] lr: 4.554e-03, eta: 11:48:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 1.6597, loss: 1.6597 +2025-06-01 06:21:30,900 - pyskl - INFO - Epoch [108][2200/2353] lr: 4.545e-03, eta: 11:48:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 1.6485, loss: 1.6485 +2025-06-01 06:22:13,944 - pyskl - INFO - Epoch [108][2300/2353] lr: 4.537e-03, eta: 11:47:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 1.6423, loss: 1.6423 +2025-06-01 06:22:37,325 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-06-01 06:24:02,724 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 06:24:02,799 - pyskl - INFO - +top1_acc 0.9315 +top5_acc 0.9930 +2025-06-01 06:24:02,802 - pyskl - INFO - Epoch(val) [108][1184] top1_acc: 0.9315, top5_acc: 0.9930 +2025-06-01 06:25:06,138 - pyskl - INFO - Epoch [109][100/2353] lr: 4.524e-03, eta: 11:46:18, time: 0.633, data_time: 0.205, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 1.6028, loss: 1.6028 +2025-06-01 06:25:49,019 - pyskl - INFO - Epoch [109][200/2353] lr: 4.515e-03, eta: 11:45:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 1.6273, loss: 1.6273 +2025-06-01 06:26:31,880 - pyskl - INFO - Epoch [109][300/2353] lr: 4.507e-03, eta: 11:44:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 1.6621, loss: 1.6621 +2025-06-01 06:27:14,764 - pyskl - INFO - Epoch [109][400/2353] lr: 4.498e-03, eta: 11:44:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.5178, loss: 1.5178 +2025-06-01 06:27:57,676 - pyskl - INFO - Epoch [109][500/2353] lr: 4.490e-03, eta: 11:43:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.6056, loss: 1.6056 +2025-06-01 06:28:40,632 - pyskl - INFO - Epoch [109][600/2353] lr: 4.481e-03, eta: 11:42:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 1.5545, loss: 1.5545 +2025-06-01 06:29:23,614 - pyskl - INFO - Epoch [109][700/2353] lr: 4.472e-03, eta: 11:42:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 1.5849, loss: 1.5849 +2025-06-01 06:30:06,524 - pyskl - INFO - Epoch [109][800/2353] lr: 4.464e-03, eta: 11:41:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 1.6338, loss: 1.6338 +2025-06-01 06:30:49,583 - pyskl - INFO - Epoch [109][900/2353] lr: 4.455e-03, eta: 11:40:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 1.6751, loss: 1.6751 +2025-06-01 06:31:32,526 - pyskl - INFO - Epoch [109][1000/2353] lr: 4.447e-03, eta: 11:39:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.6169, loss: 1.6169 +2025-06-01 06:32:15,780 - pyskl - INFO - Epoch [109][1100/2353] lr: 4.438e-03, eta: 11:39:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 1.5732, loss: 1.5732 +2025-06-01 06:32:58,760 - pyskl - INFO - Epoch [109][1200/2353] lr: 4.430e-03, eta: 11:38:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 1.6250, loss: 1.6250 +2025-06-01 06:33:41,740 - pyskl - INFO - Epoch [109][1300/2353] lr: 4.421e-03, eta: 11:37:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 1.5928, loss: 1.5928 +2025-06-01 06:34:24,866 - pyskl - INFO - Epoch [109][1400/2353] lr: 4.413e-03, eta: 11:37:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.5665, loss: 1.5665 +2025-06-01 06:35:07,908 - pyskl - INFO - Epoch [109][1500/2353] lr: 4.404e-03, eta: 11:36:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 1.6227, loss: 1.6227 +2025-06-01 06:35:50,873 - pyskl - INFO - Epoch [109][1600/2353] lr: 4.396e-03, eta: 11:35:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 1.6114, loss: 1.6114 +2025-06-01 06:36:33,735 - pyskl - INFO - Epoch [109][1700/2353] lr: 4.387e-03, eta: 11:34:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 1.5401, loss: 1.5401 +2025-06-01 06:37:16,502 - pyskl - INFO - Epoch [109][1800/2353] lr: 4.379e-03, eta: 11:34:09, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.5525, loss: 1.5525 +2025-06-01 06:37:59,389 - pyskl - INFO - Epoch [109][1900/2353] lr: 4.371e-03, eta: 11:33:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 1.6573, loss: 1.6573 +2025-06-01 06:38:42,408 - pyskl - INFO - Epoch [109][2000/2353] lr: 4.362e-03, eta: 11:32:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 1.6479, loss: 1.6479 +2025-06-01 06:39:25,305 - pyskl - INFO - Epoch [109][2100/2353] lr: 4.354e-03, eta: 11:32:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 1.6400, loss: 1.6400 +2025-06-01 06:40:08,147 - pyskl - INFO - Epoch [109][2200/2353] lr: 4.345e-03, eta: 11:31:17, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 1.6452, loss: 1.6452 +2025-06-01 06:40:51,073 - pyskl - INFO - Epoch [109][2300/2353] lr: 4.337e-03, eta: 11:30:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 1.6316, loss: 1.6316 +2025-06-01 06:41:14,440 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-06-01 06:42:39,743 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 06:42:39,818 - pyskl - INFO - +top1_acc 0.9340 +top5_acc 0.9936 +2025-06-01 06:42:39,821 - pyskl - INFO - Epoch(val) [109][1184] top1_acc: 0.9340, top5_acc: 0.9936 +2025-06-01 06:43:43,406 - pyskl - INFO - Epoch [110][100/2353] lr: 4.324e-03, eta: 11:29:27, time: 0.636, data_time: 0.203, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 1.5143, loss: 1.5143 +2025-06-01 06:44:26,523 - pyskl - INFO - Epoch [110][200/2353] lr: 4.315e-03, eta: 11:28:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.4800, loss: 1.4800 +2025-06-01 06:45:09,425 - pyskl - INFO - Epoch [110][300/2353] lr: 4.307e-03, eta: 11:28:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 1.6028, loss: 1.6028 +2025-06-01 06:45:52,375 - pyskl - INFO - Epoch [110][400/2353] lr: 4.299e-03, eta: 11:27:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 1.5367, loss: 1.5367 +2025-06-01 06:46:35,267 - pyskl - INFO - Epoch [110][500/2353] lr: 4.290e-03, eta: 11:26:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 1.5556, loss: 1.5556 +2025-06-01 06:47:18,200 - pyskl - INFO - Epoch [110][600/2353] lr: 4.282e-03, eta: 11:25:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.5650, loss: 1.5650 +2025-06-01 06:48:01,123 - pyskl - INFO - Epoch [110][700/2353] lr: 4.274e-03, eta: 11:25:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 1.5286, loss: 1.5286 +2025-06-01 06:48:44,056 - pyskl - INFO - Epoch [110][800/2353] lr: 4.265e-03, eta: 11:24:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 1.5708, loss: 1.5708 +2025-06-01 06:49:26,930 - pyskl - INFO - Epoch [110][900/2353] lr: 4.257e-03, eta: 11:23:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 1.6019, loss: 1.6019 +2025-06-01 06:50:09,847 - pyskl - INFO - Epoch [110][1000/2353] lr: 4.248e-03, eta: 11:23:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 1.6216, loss: 1.6216 +2025-06-01 06:50:52,809 - pyskl - INFO - Epoch [110][1100/2353] lr: 4.240e-03, eta: 11:22:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 1.6056, loss: 1.6056 +2025-06-01 06:51:35,754 - pyskl - INFO - Epoch [110][1200/2353] lr: 4.232e-03, eta: 11:21:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.5576, loss: 1.5576 +2025-06-01 06:52:18,641 - pyskl - INFO - Epoch [110][1300/2353] lr: 4.223e-03, eta: 11:20:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 1.6689, loss: 1.6689 +2025-06-01 06:53:01,572 - pyskl - INFO - Epoch [110][1400/2353] lr: 4.215e-03, eta: 11:20:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.6382, loss: 1.6382 +2025-06-01 06:53:44,534 - pyskl - INFO - Epoch [110][1500/2353] lr: 4.207e-03, eta: 11:19:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.5277, loss: 1.5277 +2025-06-01 06:54:27,581 - pyskl - INFO - Epoch [110][1600/2353] lr: 4.198e-03, eta: 11:18:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 1.5905, loss: 1.5905 +2025-06-01 06:55:10,564 - pyskl - INFO - Epoch [110][1700/2353] lr: 4.190e-03, eta: 11:18:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 1.5591, loss: 1.5591 +2025-06-01 06:55:53,665 - pyskl - INFO - Epoch [110][1800/2353] lr: 4.182e-03, eta: 11:17:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 1.6026, loss: 1.6026 +2025-06-01 06:56:36,757 - pyskl - INFO - Epoch [110][1900/2353] lr: 4.173e-03, eta: 11:16:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 1.5140, loss: 1.5140 +2025-06-01 06:57:19,588 - pyskl - INFO - Epoch [110][2000/2353] lr: 4.165e-03, eta: 11:15:52, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 1.5996, loss: 1.5996 +2025-06-01 06:58:02,484 - pyskl - INFO - Epoch [110][2100/2353] lr: 4.157e-03, eta: 11:15:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 1.5566, loss: 1.5566 +2025-06-01 06:58:45,261 - pyskl - INFO - Epoch [110][2200/2353] lr: 4.149e-03, eta: 11:14:26, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.6372, loss: 1.6372 +2025-06-01 06:59:28,396 - pyskl - INFO - Epoch [110][2300/2353] lr: 4.140e-03, eta: 11:13:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 1.5978, loss: 1.5978 +2025-06-01 06:59:52,132 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-06-01 07:08:23,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 07:08:23,679 - pyskl - INFO - +top1_acc 0.9425 +top5_acc 0.9946 +2025-06-01 07:08:23,732 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_101.pth was removed +2025-06-01 07:08:24,727 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2025-06-01 07:08:24,728 - pyskl - INFO - Best top1_acc is 0.9425 at 110 epoch. +2025-06-01 07:08:24,731 - pyskl - INFO - Epoch(val) [110][1184] top1_acc: 0.9425, top5_acc: 0.9946 +2025-06-01 07:09:28,053 - pyskl - INFO - Epoch [111][100/2353] lr: 4.128e-03, eta: 11:12:37, time: 0.633, data_time: 0.205, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 1.5066, loss: 1.5066 +2025-06-01 07:10:10,849 - pyskl - INFO - Epoch [111][200/2353] lr: 4.119e-03, eta: 11:11:54, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 1.5049, loss: 1.5049 +2025-06-01 07:10:53,678 - pyskl - INFO - Epoch [111][300/2353] lr: 4.111e-03, eta: 11:11:11, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.4577, loss: 1.4577 +2025-06-01 07:11:36,465 - pyskl - INFO - Epoch [111][400/2353] lr: 4.103e-03, eta: 11:10:28, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 1.5489, loss: 1.5489 +2025-06-01 07:12:19,293 - pyskl - INFO - Epoch [111][500/2353] lr: 4.095e-03, eta: 11:09:45, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.4976, loss: 1.4976 +2025-06-01 07:13:02,138 - pyskl - INFO - Epoch [111][600/2353] lr: 4.086e-03, eta: 11:09:02, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.4723, loss: 1.4723 +2025-06-01 07:13:44,907 - pyskl - INFO - Epoch [111][700/2353] lr: 4.078e-03, eta: 11:08:19, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 1.4809, loss: 1.4809 +2025-06-01 07:14:27,838 - pyskl - INFO - Epoch [111][800/2353] lr: 4.070e-03, eta: 11:07:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 1.5374, loss: 1.5374 +2025-06-01 07:15:10,739 - pyskl - INFO - Epoch [111][900/2353] lr: 4.062e-03, eta: 11:06:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.5267, loss: 1.5267 +2025-06-01 07:15:53,579 - pyskl - INFO - Epoch [111][1000/2353] lr: 4.054e-03, eta: 11:06:10, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 1.6035, loss: 1.6035 +2025-06-01 07:16:36,442 - pyskl - INFO - Epoch [111][1100/2353] lr: 4.045e-03, eta: 11:05:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9962, loss_cls: 1.5322, loss: 1.5322 +2025-06-01 07:17:19,297 - pyskl - INFO - Epoch [111][1200/2353] lr: 4.037e-03, eta: 11:04:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 1.5265, loss: 1.5265 +2025-06-01 07:18:02,370 - pyskl - INFO - Epoch [111][1300/2353] lr: 4.029e-03, eta: 11:04:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 1.5669, loss: 1.5669 +2025-06-01 07:18:45,465 - pyskl - INFO - Epoch [111][1400/2353] lr: 4.021e-03, eta: 11:03:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 1.6575, loss: 1.6575 +2025-06-01 07:19:28,582 - pyskl - INFO - Epoch [111][1500/2353] lr: 4.013e-03, eta: 11:02:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 1.6171, loss: 1.6171 +2025-06-01 07:20:11,633 - pyskl - INFO - Epoch [111][1600/2353] lr: 4.005e-03, eta: 11:01:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 1.5579, loss: 1.5579 +2025-06-01 07:20:54,649 - pyskl - INFO - Epoch [111][1700/2353] lr: 3.996e-03, eta: 11:01:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 1.5587, loss: 1.5587 +2025-06-01 07:21:37,534 - pyskl - INFO - Epoch [111][1800/2353] lr: 3.988e-03, eta: 11:00:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 1.5768, loss: 1.5768 +2025-06-01 07:22:20,437 - pyskl - INFO - Epoch [111][1900/2353] lr: 3.980e-03, eta: 10:59:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 1.5362, loss: 1.5362 +2025-06-01 07:23:03,409 - pyskl - INFO - Epoch [111][2000/2353] lr: 3.972e-03, eta: 10:59:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 1.5758, loss: 1.5758 +2025-06-01 07:23:46,492 - pyskl - INFO - Epoch [111][2100/2353] lr: 3.964e-03, eta: 10:58:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.5091, loss: 1.5091 +2025-06-01 07:24:29,457 - pyskl - INFO - Epoch [111][2200/2353] lr: 3.956e-03, eta: 10:57:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 1.5567, loss: 1.5567 +2025-06-01 07:25:12,326 - pyskl - INFO - Epoch [111][2300/2353] lr: 3.948e-03, eta: 10:56:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 1.6466, loss: 1.6466 +2025-06-01 07:25:35,485 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-06-01 07:27:00,829 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 07:27:00,904 - pyskl - INFO - +top1_acc 0.9356 +top5_acc 0.9930 +2025-06-01 07:27:00,907 - pyskl - INFO - Epoch(val) [111][1184] top1_acc: 0.9356, top5_acc: 0.9930 +2025-06-01 07:28:04,112 - pyskl - INFO - Epoch [112][100/2353] lr: 3.935e-03, eta: 10:55:46, time: 0.632, data_time: 0.202, memory: 13127, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.4640, loss: 1.4640 +2025-06-01 07:28:47,150 - pyskl - INFO - Epoch [112][200/2353] lr: 3.927e-03, eta: 10:55:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.4778, loss: 1.4778 +2025-06-01 07:29:30,228 - pyskl - INFO - Epoch [112][300/2353] lr: 3.919e-03, eta: 10:54:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.5029, loss: 1.5029 +2025-06-01 07:30:13,223 - pyskl - INFO - Epoch [112][400/2353] lr: 3.911e-03, eta: 10:53:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 1.5124, loss: 1.5124 +2025-06-01 07:30:56,237 - pyskl - INFO - Epoch [112][500/2353] lr: 3.903e-03, eta: 10:52:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.4748, loss: 1.4748 +2025-06-01 07:31:39,245 - pyskl - INFO - Epoch [112][600/2353] lr: 3.895e-03, eta: 10:52:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.4440, loss: 1.4440 +2025-06-01 07:32:22,323 - pyskl - INFO - Epoch [112][700/2353] lr: 3.887e-03, eta: 10:51:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.5073, loss: 1.5073 +2025-06-01 07:33:05,394 - pyskl - INFO - Epoch [112][800/2353] lr: 3.879e-03, eta: 10:50:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.4807, loss: 1.4807 +2025-06-01 07:33:48,431 - pyskl - INFO - Epoch [112][900/2353] lr: 3.871e-03, eta: 10:50:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 1.5143, loss: 1.5143 +2025-06-01 07:34:31,680 - pyskl - INFO - Epoch [112][1000/2353] lr: 3.862e-03, eta: 10:49:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 1.4979, loss: 1.4979 +2025-06-01 07:35:14,592 - pyskl - INFO - Epoch [112][1100/2353] lr: 3.854e-03, eta: 10:48:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 1.5455, loss: 1.5455 +2025-06-01 07:35:57,485 - pyskl - INFO - Epoch [112][1200/2353] lr: 3.846e-03, eta: 10:47:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 1.5680, loss: 1.5680 +2025-06-01 07:36:40,528 - pyskl - INFO - Epoch [112][1300/2353] lr: 3.838e-03, eta: 10:47:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.5557, loss: 1.5557 +2025-06-01 07:37:23,570 - pyskl - INFO - Epoch [112][1400/2353] lr: 3.830e-03, eta: 10:46:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 1.5784, loss: 1.5784 +2025-06-01 07:38:06,664 - pyskl - INFO - Epoch [112][1500/2353] lr: 3.822e-03, eta: 10:45:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9950, loss_cls: 1.5435, loss: 1.5435 +2025-06-01 07:38:49,770 - pyskl - INFO - Epoch [112][1600/2353] lr: 3.814e-03, eta: 10:45:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 1.5058, loss: 1.5058 +2025-06-01 07:39:32,840 - pyskl - INFO - Epoch [112][1700/2353] lr: 3.806e-03, eta: 10:44:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 1.5400, loss: 1.5400 +2025-06-01 07:40:15,915 - pyskl - INFO - Epoch [112][1800/2353] lr: 3.798e-03, eta: 10:43:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 1.5902, loss: 1.5902 +2025-06-01 07:40:58,868 - pyskl - INFO - Epoch [112][1900/2353] lr: 3.790e-03, eta: 10:42:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.5467, loss: 1.5467 +2025-06-01 07:41:41,863 - pyskl - INFO - Epoch [112][2000/2353] lr: 3.782e-03, eta: 10:42:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.5907, loss: 1.5907 +2025-06-01 07:42:24,930 - pyskl - INFO - Epoch [112][2100/2353] lr: 3.774e-03, eta: 10:41:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.6021, loss: 1.6021 +2025-06-01 07:43:07,974 - pyskl - INFO - Epoch [112][2200/2353] lr: 3.766e-03, eta: 10:40:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 1.5807, loss: 1.5807 +2025-06-01 07:43:50,908 - pyskl - INFO - Epoch [112][2300/2353] lr: 3.759e-03, eta: 10:40:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.5488, loss: 1.5488 +2025-06-01 07:44:14,325 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-06-01 07:45:39,901 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 07:45:39,976 - pyskl - INFO - +top1_acc 0.9428 +top5_acc 0.9944 +2025-06-01 07:45:40,037 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_110.pth was removed +2025-06-01 07:45:41,082 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. +2025-06-01 07:45:41,082 - pyskl - INFO - Best top1_acc is 0.9428 at 112 epoch. +2025-06-01 07:45:41,085 - pyskl - INFO - Epoch(val) [112][1184] top1_acc: 0.9428, top5_acc: 0.9944 +2025-06-01 07:46:44,634 - pyskl - INFO - Epoch [113][100/2353] lr: 3.746e-03, eta: 10:38:56, time: 0.635, data_time: 0.207, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 1.4767, loss: 1.4767 +2025-06-01 07:47:27,727 - pyskl - INFO - Epoch [113][200/2353] lr: 3.738e-03, eta: 10:38:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 1.4766, loss: 1.4766 +2025-06-01 07:48:10,784 - pyskl - INFO - Epoch [113][300/2353] lr: 3.730e-03, eta: 10:37:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.4926, loss: 1.4926 +2025-06-01 07:48:53,813 - pyskl - INFO - Epoch [113][400/2353] lr: 3.723e-03, eta: 10:36:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.4861, loss: 1.4861 +2025-06-01 07:49:36,804 - pyskl - INFO - Epoch [113][500/2353] lr: 3.715e-03, eta: 10:36:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.4402, loss: 1.4402 +2025-06-01 07:50:19,830 - pyskl - INFO - Epoch [113][600/2353] lr: 3.707e-03, eta: 10:35:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 1.4783, loss: 1.4783 +2025-06-01 07:51:02,757 - pyskl - INFO - Epoch [113][700/2353] lr: 3.699e-03, eta: 10:34:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.5208, loss: 1.5208 +2025-06-01 07:51:45,781 - pyskl - INFO - Epoch [113][800/2353] lr: 3.691e-03, eta: 10:33:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.4629, loss: 1.4629 +2025-06-01 07:52:28,779 - pyskl - INFO - Epoch [113][900/2353] lr: 3.683e-03, eta: 10:33:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.4240, loss: 1.4240 +2025-06-01 07:53:11,687 - pyskl - INFO - Epoch [113][1000/2353] lr: 3.675e-03, eta: 10:32:30, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.4552, loss: 1.4552 +2025-06-01 07:53:54,638 - pyskl - INFO - Epoch [113][1100/2353] lr: 3.667e-03, eta: 10:31:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 1.5292, loss: 1.5292 +2025-06-01 07:54:37,618 - pyskl - INFO - Epoch [113][1200/2353] lr: 3.659e-03, eta: 10:31:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 1.5449, loss: 1.5449 +2025-06-01 07:55:20,688 - pyskl - INFO - Epoch [113][1300/2353] lr: 3.652e-03, eta: 10:30:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 1.5417, loss: 1.5417 +2025-06-01 07:56:03,731 - pyskl - INFO - Epoch [113][1400/2353] lr: 3.644e-03, eta: 10:29:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 1.5095, loss: 1.5095 +2025-06-01 07:56:46,721 - pyskl - INFO - Epoch [113][1500/2353] lr: 3.636e-03, eta: 10:28:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 1.5483, loss: 1.5483 +2025-06-01 07:57:29,756 - pyskl - INFO - Epoch [113][1600/2353] lr: 3.628e-03, eta: 10:28:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 1.5702, loss: 1.5702 +2025-06-01 07:58:12,794 - pyskl - INFO - Epoch [113][1700/2353] lr: 3.620e-03, eta: 10:27:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 1.5534, loss: 1.5534 +2025-06-01 07:58:55,748 - pyskl - INFO - Epoch [113][1800/2353] lr: 3.612e-03, eta: 10:26:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.5645, loss: 1.5645 +2025-06-01 07:59:38,807 - pyskl - INFO - Epoch [113][1900/2353] lr: 3.605e-03, eta: 10:26:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.5317, loss: 1.5317 +2025-06-01 08:00:21,724 - pyskl - INFO - Epoch [113][2000/2353] lr: 3.597e-03, eta: 10:25:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.5423, loss: 1.5423 +2025-06-01 08:01:04,661 - pyskl - INFO - Epoch [113][2100/2353] lr: 3.589e-03, eta: 10:24:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 1.4623, loss: 1.4623 +2025-06-01 08:01:47,648 - pyskl - INFO - Epoch [113][2200/2353] lr: 3.581e-03, eta: 10:23:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.5037, loss: 1.5037 +2025-06-01 08:02:30,600 - pyskl - INFO - Epoch [113][2300/2353] lr: 3.573e-03, eta: 10:23:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 1.5201, loss: 1.5201 +2025-06-01 08:02:53,915 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-06-01 08:04:19,194 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 08:04:19,270 - pyskl - INFO - +top1_acc 0.9372 +top5_acc 0.9939 +2025-06-01 08:04:19,273 - pyskl - INFO - Epoch(val) [113][1184] top1_acc: 0.9372, top5_acc: 0.9939 +2025-06-01 08:05:22,540 - pyskl - INFO - Epoch [114][100/2353] lr: 3.561e-03, eta: 10:22:06, time: 0.633, data_time: 0.205, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.4227, loss: 1.4227 +2025-06-01 08:06:05,641 - pyskl - INFO - Epoch [114][200/2353] lr: 3.554e-03, eta: 10:21:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.4167, loss: 1.4167 +2025-06-01 08:06:48,619 - pyskl - INFO - Epoch [114][300/2353] lr: 3.546e-03, eta: 10:20:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.4781, loss: 1.4781 +2025-06-01 08:07:31,512 - pyskl - INFO - Epoch [114][400/2353] lr: 3.538e-03, eta: 10:19:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.4665, loss: 1.4665 +2025-06-01 08:08:14,406 - pyskl - INFO - Epoch [114][500/2353] lr: 3.530e-03, eta: 10:19:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.4985, loss: 1.4985 +2025-06-01 08:08:57,348 - pyskl - INFO - Epoch [114][600/2353] lr: 3.523e-03, eta: 10:18:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.3837, loss: 1.3837 +2025-06-01 08:09:40,252 - pyskl - INFO - Epoch [114][700/2353] lr: 3.515e-03, eta: 10:17:48, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.4510, loss: 1.4510 +2025-06-01 08:10:23,236 - pyskl - INFO - Epoch [114][800/2353] lr: 3.507e-03, eta: 10:17:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.4327, loss: 1.4327 +2025-06-01 08:11:06,173 - pyskl - INFO - Epoch [114][900/2353] lr: 3.499e-03, eta: 10:16:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.5042, loss: 1.5042 +2025-06-01 08:11:49,160 - pyskl - INFO - Epoch [114][1000/2353] lr: 3.492e-03, eta: 10:15:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 1.4801, loss: 1.4801 +2025-06-01 08:12:32,090 - pyskl - INFO - Epoch [114][1100/2353] lr: 3.484e-03, eta: 10:14:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 1.4767, loss: 1.4767 +2025-06-01 08:13:15,056 - pyskl - INFO - Epoch [114][1200/2353] lr: 3.476e-03, eta: 10:14:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 1.5144, loss: 1.5144 +2025-06-01 08:13:58,153 - pyskl - INFO - Epoch [114][1300/2353] lr: 3.469e-03, eta: 10:13:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.5198, loss: 1.5198 +2025-06-01 08:14:41,201 - pyskl - INFO - Epoch [114][1400/2353] lr: 3.461e-03, eta: 10:12:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 1.4675, loss: 1.4675 +2025-06-01 08:15:24,225 - pyskl - INFO - Epoch [114][1500/2353] lr: 3.453e-03, eta: 10:12:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.5179, loss: 1.5179 +2025-06-01 08:16:07,156 - pyskl - INFO - Epoch [114][1600/2353] lr: 3.446e-03, eta: 10:11:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.4280, loss: 1.4280 +2025-06-01 08:16:50,093 - pyskl - INFO - Epoch [114][1700/2353] lr: 3.438e-03, eta: 10:10:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.4677, loss: 1.4677 +2025-06-01 08:17:32,989 - pyskl - INFO - Epoch [114][1800/2353] lr: 3.430e-03, eta: 10:09:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.4595, loss: 1.4595 +2025-06-01 08:18:15,947 - pyskl - INFO - Epoch [114][1900/2353] lr: 3.423e-03, eta: 10:09:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.4860, loss: 1.4860 +2025-06-01 08:18:58,912 - pyskl - INFO - Epoch [114][2000/2353] lr: 3.415e-03, eta: 10:08:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 1.4928, loss: 1.4928 +2025-06-01 08:19:41,959 - pyskl - INFO - Epoch [114][2100/2353] lr: 3.407e-03, eta: 10:07:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.5456, loss: 1.5456 +2025-06-01 08:20:24,900 - pyskl - INFO - Epoch [114][2200/2353] lr: 3.400e-03, eta: 10:07:05, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 1.4043, loss: 1.4043 +2025-06-01 08:21:07,788 - pyskl - INFO - Epoch [114][2300/2353] lr: 3.392e-03, eta: 10:06:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.4940, loss: 1.4940 +2025-06-01 08:21:31,098 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-06-01 08:22:56,594 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 08:22:56,671 - pyskl - INFO - +top1_acc 0.9451 +top5_acc 0.9945 +2025-06-01 08:22:56,727 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_112.pth was removed +2025-06-01 08:22:57,774 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2025-06-01 08:22:57,775 - pyskl - INFO - Best top1_acc is 0.9451 at 114 epoch. +2025-06-01 08:22:57,778 - pyskl - INFO - Epoch(val) [114][1184] top1_acc: 0.9451, top5_acc: 0.9945 +2025-06-01 08:24:01,232 - pyskl - INFO - Epoch [115][100/2353] lr: 3.380e-03, eta: 10:05:15, time: 0.634, data_time: 0.205, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.4307, loss: 1.4307 +2025-06-01 08:24:44,245 - pyskl - INFO - Epoch [115][200/2353] lr: 3.373e-03, eta: 10:04:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.4156, loss: 1.4156 +2025-06-01 08:25:27,210 - pyskl - INFO - Epoch [115][300/2353] lr: 3.365e-03, eta: 10:03:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.4084, loss: 1.4084 +2025-06-01 08:26:10,200 - pyskl - INFO - Epoch [115][400/2353] lr: 3.358e-03, eta: 10:03:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.4970, loss: 1.4970 +2025-06-01 08:26:53,161 - pyskl - INFO - Epoch [115][500/2353] lr: 3.350e-03, eta: 10:02:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.4206, loss: 1.4206 +2025-06-01 08:27:36,149 - pyskl - INFO - Epoch [115][600/2353] lr: 3.342e-03, eta: 10:01:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 1.4095, loss: 1.4095 +2025-06-01 08:28:19,179 - pyskl - INFO - Epoch [115][700/2353] lr: 3.335e-03, eta: 10:00:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.4438, loss: 1.4438 +2025-06-01 08:29:02,216 - pyskl - INFO - Epoch [115][800/2353] lr: 3.327e-03, eta: 10:00:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.4422, loss: 1.4422 +2025-06-01 08:29:45,277 - pyskl - INFO - Epoch [115][900/2353] lr: 3.320e-03, eta: 9:59:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 1.4286, loss: 1.4286 +2025-06-01 08:30:28,495 - pyskl - INFO - Epoch [115][1000/2353] lr: 3.312e-03, eta: 9:58:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.4176, loss: 1.4176 +2025-06-01 08:31:11,862 - pyskl - INFO - Epoch [115][1100/2353] lr: 3.305e-03, eta: 9:58:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.4508, loss: 1.4508 +2025-06-01 08:31:55,150 - pyskl - INFO - Epoch [115][1200/2353] lr: 3.297e-03, eta: 9:57:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.4595, loss: 1.4595 +2025-06-01 08:32:38,095 - pyskl - INFO - Epoch [115][1300/2353] lr: 3.290e-03, eta: 9:56:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 1.4983, loss: 1.4983 +2025-06-01 08:33:20,902 - pyskl - INFO - Epoch [115][1400/2353] lr: 3.282e-03, eta: 9:55:58, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 1.4692, loss: 1.4692 +2025-06-01 08:34:03,868 - pyskl - INFO - Epoch [115][1500/2353] lr: 3.275e-03, eta: 9:55:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.4547, loss: 1.4547 +2025-06-01 08:34:46,772 - pyskl - INFO - Epoch [115][1600/2353] lr: 3.267e-03, eta: 9:54:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.3748, loss: 1.3748 +2025-06-01 08:35:29,659 - pyskl - INFO - Epoch [115][1700/2353] lr: 3.260e-03, eta: 9:53:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.4407, loss: 1.4407 +2025-06-01 08:36:12,581 - pyskl - INFO - Epoch [115][1800/2353] lr: 3.252e-03, eta: 9:53:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.5172, loss: 1.5172 +2025-06-01 08:36:55,784 - pyskl - INFO - Epoch [115][1900/2353] lr: 3.245e-03, eta: 9:52:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.4443, loss: 1.4443 +2025-06-01 08:37:38,744 - pyskl - INFO - Epoch [115][2000/2353] lr: 3.237e-03, eta: 9:51:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 1.4700, loss: 1.4700 +2025-06-01 08:38:21,701 - pyskl - INFO - Epoch [115][2100/2353] lr: 3.230e-03, eta: 9:50:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 1.4347, loss: 1.4347 +2025-06-01 08:39:04,698 - pyskl - INFO - Epoch [115][2200/2353] lr: 3.222e-03, eta: 9:50:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.3622, loss: 1.3622 +2025-06-01 08:39:47,741 - pyskl - INFO - Epoch [115][2300/2353] lr: 3.215e-03, eta: 9:49:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 1.4755, loss: 1.4755 +2025-06-01 08:40:11,082 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-06-01 08:49:02,217 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 08:49:02,291 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9943 +2025-06-01 08:49:02,294 - pyskl - INFO - Epoch(val) [115][1184] top1_acc: 0.9423, top5_acc: 0.9943 +2025-06-01 08:50:05,511 - pyskl - INFO - Epoch [116][100/2353] lr: 3.203e-03, eta: 9:48:25, time: 0.632, data_time: 0.205, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 1.4079, loss: 1.4079 +2025-06-01 08:50:48,348 - pyskl - INFO - Epoch [116][200/2353] lr: 3.196e-03, eta: 9:47:42, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.3621, loss: 1.3621 +2025-06-01 08:51:31,015 - pyskl - INFO - Epoch [116][300/2353] lr: 3.188e-03, eta: 9:46:59, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3597, loss: 1.3597 +2025-06-01 08:52:13,821 - pyskl - INFO - Epoch [116][400/2353] lr: 3.181e-03, eta: 9:46:16, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.2859, loss: 1.2859 +2025-06-01 08:52:56,651 - pyskl - INFO - Epoch [116][500/2353] lr: 3.174e-03, eta: 9:45:34, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.4387, loss: 1.4387 +2025-06-01 08:53:39,462 - pyskl - INFO - Epoch [116][600/2353] lr: 3.166e-03, eta: 9:44:51, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.4083, loss: 1.4083 +2025-06-01 08:54:22,217 - pyskl - INFO - Epoch [116][700/2353] lr: 3.159e-03, eta: 9:44:08, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 1.4507, loss: 1.4507 +2025-06-01 08:55:04,999 - pyskl - INFO - Epoch [116][800/2353] lr: 3.151e-03, eta: 9:43:25, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.4232, loss: 1.4232 +2025-06-01 08:55:47,740 - pyskl - INFO - Epoch [116][900/2353] lr: 3.144e-03, eta: 9:42:42, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.3514, loss: 1.3514 +2025-06-01 08:56:30,609 - pyskl - INFO - Epoch [116][1000/2353] lr: 3.137e-03, eta: 9:41:59, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.4466, loss: 1.4466 +2025-06-01 08:57:13,433 - pyskl - INFO - Epoch [116][1100/2353] lr: 3.129e-03, eta: 9:41:16, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.4516, loss: 1.4516 +2025-06-01 08:57:56,272 - pyskl - INFO - Epoch [116][1200/2353] lr: 3.122e-03, eta: 9:40:33, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.4699, loss: 1.4699 +2025-06-01 08:58:39,167 - pyskl - INFO - Epoch [116][1300/2353] lr: 3.115e-03, eta: 9:39:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.4268, loss: 1.4268 +2025-06-01 08:59:21,892 - pyskl - INFO - Epoch [116][1400/2353] lr: 3.107e-03, eta: 9:39:07, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.4298, loss: 1.4298 +2025-06-01 09:00:04,823 - pyskl - INFO - Epoch [116][1500/2353] lr: 3.100e-03, eta: 9:38:24, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.4842, loss: 1.4842 +2025-06-01 09:00:47,980 - pyskl - INFO - Epoch [116][1600/2353] lr: 3.093e-03, eta: 9:37:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.4439, loss: 1.4439 +2025-06-01 09:01:30,992 - pyskl - INFO - Epoch [116][1700/2353] lr: 3.085e-03, eta: 9:36:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.4557, loss: 1.4557 +2025-06-01 09:02:14,112 - pyskl - INFO - Epoch [116][1800/2353] lr: 3.078e-03, eta: 9:36:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 1.4417, loss: 1.4417 +2025-06-01 09:02:57,257 - pyskl - INFO - Epoch [116][1900/2353] lr: 3.071e-03, eta: 9:35:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.4285, loss: 1.4285 +2025-06-01 09:03:40,437 - pyskl - INFO - Epoch [116][2000/2353] lr: 3.063e-03, eta: 9:34:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.4858, loss: 1.4858 +2025-06-01 09:04:23,657 - pyskl - INFO - Epoch [116][2100/2353] lr: 3.056e-03, eta: 9:34:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.4690, loss: 1.4690 +2025-06-01 09:05:06,700 - pyskl - INFO - Epoch [116][2200/2353] lr: 3.049e-03, eta: 9:33:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.4581, loss: 1.4581 +2025-06-01 09:05:49,628 - pyskl - INFO - Epoch [116][2300/2353] lr: 3.041e-03, eta: 9:32:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.4987, loss: 1.4987 +2025-06-01 09:06:12,841 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-06-01 09:07:38,260 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 09:07:38,335 - pyskl - INFO - +top1_acc 0.9357 +top5_acc 0.9938 +2025-06-01 09:07:38,338 - pyskl - INFO - Epoch(val) [116][1184] top1_acc: 0.9357, top5_acc: 0.9938 +2025-06-01 09:08:41,763 - pyskl - INFO - Epoch [117][100/2353] lr: 3.030e-03, eta: 9:31:35, time: 0.634, data_time: 0.205, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.4309, loss: 1.4309 +2025-06-01 09:09:24,742 - pyskl - INFO - Epoch [117][200/2353] lr: 3.023e-03, eta: 9:30:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.3202, loss: 1.3202 +2025-06-01 09:10:07,682 - pyskl - INFO - Epoch [117][300/2353] lr: 3.016e-03, eta: 9:30:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3572, loss: 1.3572 +2025-06-01 09:10:50,612 - pyskl - INFO - Epoch [117][400/2353] lr: 3.009e-03, eta: 9:29:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.3728, loss: 1.3728 +2025-06-01 09:11:33,561 - pyskl - INFO - Epoch [117][500/2353] lr: 3.001e-03, eta: 9:28:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.3888, loss: 1.3888 +2025-06-01 09:12:16,523 - pyskl - INFO - Epoch [117][600/2353] lr: 2.994e-03, eta: 9:28:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.3976, loss: 1.3976 +2025-06-01 09:12:59,449 - pyskl - INFO - Epoch [117][700/2353] lr: 2.987e-03, eta: 9:27:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.3354, loss: 1.3354 +2025-06-01 09:13:42,415 - pyskl - INFO - Epoch [117][800/2353] lr: 2.980e-03, eta: 9:26:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.3803, loss: 1.3803 +2025-06-01 09:14:25,376 - pyskl - INFO - Epoch [117][900/2353] lr: 2.973e-03, eta: 9:25:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.4242, loss: 1.4242 +2025-06-01 09:15:08,416 - pyskl - INFO - Epoch [117][1000/2353] lr: 2.965e-03, eta: 9:25:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.3892, loss: 1.3892 +2025-06-01 09:15:51,310 - pyskl - INFO - Epoch [117][1100/2353] lr: 2.958e-03, eta: 9:24:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 1.3676, loss: 1.3676 +2025-06-01 09:16:34,324 - pyskl - INFO - Epoch [117][1200/2353] lr: 2.951e-03, eta: 9:23:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.4021, loss: 1.4021 +2025-06-01 09:17:17,367 - pyskl - INFO - Epoch [117][1300/2353] lr: 2.944e-03, eta: 9:23:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.3229, loss: 1.3229 +2025-06-01 09:18:00,452 - pyskl - INFO - Epoch [117][1400/2353] lr: 2.937e-03, eta: 9:22:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.4053, loss: 1.4053 +2025-06-01 09:18:43,464 - pyskl - INFO - Epoch [117][1500/2353] lr: 2.929e-03, eta: 9:21:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.3574, loss: 1.3574 +2025-06-01 09:19:26,445 - pyskl - INFO - Epoch [117][1600/2353] lr: 2.922e-03, eta: 9:20:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.3733, loss: 1.3733 +2025-06-01 09:20:09,485 - pyskl - INFO - Epoch [117][1700/2353] lr: 2.915e-03, eta: 9:20:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.3927, loss: 1.3927 +2025-06-01 09:20:52,486 - pyskl - INFO - Epoch [117][1800/2353] lr: 2.908e-03, eta: 9:19:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.3869, loss: 1.3869 +2025-06-01 09:21:35,492 - pyskl - INFO - Epoch [117][1900/2353] lr: 2.901e-03, eta: 9:18:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 1.4706, loss: 1.4706 +2025-06-01 09:22:18,589 - pyskl - INFO - Epoch [117][2000/2353] lr: 2.894e-03, eta: 9:18:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.4050, loss: 1.4050 +2025-06-01 09:23:01,788 - pyskl - INFO - Epoch [117][2100/2353] lr: 2.887e-03, eta: 9:17:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.3940, loss: 1.3940 +2025-06-01 09:23:44,850 - pyskl - INFO - Epoch [117][2200/2353] lr: 2.880e-03, eta: 9:16:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.4023, loss: 1.4023 +2025-06-01 09:24:27,824 - pyskl - INFO - Epoch [117][2300/2353] lr: 2.872e-03, eta: 9:15:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 1.4119, loss: 1.4119 +2025-06-01 09:24:51,151 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-06-01 09:26:16,486 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 09:26:16,560 - pyskl - INFO - +top1_acc 0.9462 +top5_acc 0.9943 +2025-06-01 09:26:16,613 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_114.pth was removed +2025-06-01 09:26:17,557 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. +2025-06-01 09:26:17,557 - pyskl - INFO - Best top1_acc is 0.9462 at 117 epoch. +2025-06-01 09:26:17,560 - pyskl - INFO - Epoch(val) [117][1184] top1_acc: 0.9462, top5_acc: 0.9943 +2025-06-01 09:27:20,982 - pyskl - INFO - Epoch [118][100/2353] lr: 2.862e-03, eta: 9:14:45, time: 0.634, data_time: 0.205, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.3640, loss: 1.3640 +2025-06-01 09:28:04,034 - pyskl - INFO - Epoch [118][200/2353] lr: 2.854e-03, eta: 9:14:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.3876, loss: 1.3876 +2025-06-01 09:28:47,026 - pyskl - INFO - Epoch [118][300/2353] lr: 2.847e-03, eta: 9:13:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.4213, loss: 1.4213 +2025-06-01 09:29:30,122 - pyskl - INFO - Epoch [118][400/2353] lr: 2.840e-03, eta: 9:12:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 1.3009, loss: 1.3009 +2025-06-01 09:30:12,977 - pyskl - INFO - Epoch [118][500/2353] lr: 2.833e-03, eta: 9:11:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.3665, loss: 1.3665 +2025-06-01 09:30:55,921 - pyskl - INFO - Epoch [118][600/2353] lr: 2.826e-03, eta: 9:11:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3319, loss: 1.3319 +2025-06-01 09:31:38,790 - pyskl - INFO - Epoch [118][700/2353] lr: 2.819e-03, eta: 9:10:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.3776, loss: 1.3776 +2025-06-01 09:32:21,954 - pyskl - INFO - Epoch [118][800/2353] lr: 2.812e-03, eta: 9:09:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.3451, loss: 1.3451 +2025-06-01 09:33:04,778 - pyskl - INFO - Epoch [118][900/2353] lr: 2.805e-03, eta: 9:09:01, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.4263, loss: 1.4263 +2025-06-01 09:33:47,776 - pyskl - INFO - Epoch [118][1000/2353] lr: 2.798e-03, eta: 9:08:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.3846, loss: 1.3846 +2025-06-01 09:34:30,685 - pyskl - INFO - Epoch [118][1100/2353] lr: 2.791e-03, eta: 9:07:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.4274, loss: 1.4274 +2025-06-01 09:35:13,706 - pyskl - INFO - Epoch [118][1200/2353] lr: 2.784e-03, eta: 9:06:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.3784, loss: 1.3784 +2025-06-01 09:35:56,638 - pyskl - INFO - Epoch [118][1300/2353] lr: 2.777e-03, eta: 9:06:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.4386, loss: 1.4386 +2025-06-01 09:36:39,582 - pyskl - INFO - Epoch [118][1400/2353] lr: 2.770e-03, eta: 9:05:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.4237, loss: 1.4237 +2025-06-01 09:37:22,627 - pyskl - INFO - Epoch [118][1500/2353] lr: 2.763e-03, eta: 9:04:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.4999, loss: 1.4999 +2025-06-01 09:38:05,624 - pyskl - INFO - Epoch [118][1600/2353] lr: 2.756e-03, eta: 9:04:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3241, loss: 1.3241 +2025-06-01 09:38:48,595 - pyskl - INFO - Epoch [118][1700/2353] lr: 2.749e-03, eta: 9:03:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.3658, loss: 1.3658 +2025-06-01 09:39:31,509 - pyskl - INFO - Epoch [118][1800/2353] lr: 2.742e-03, eta: 9:02:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.3685, loss: 1.3685 +2025-06-01 09:40:14,538 - pyskl - INFO - Epoch [118][1900/2353] lr: 2.735e-03, eta: 9:01:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.3806, loss: 1.3806 +2025-06-01 09:40:57,533 - pyskl - INFO - Epoch [118][2000/2353] lr: 2.728e-03, eta: 9:01:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.4072, loss: 1.4072 +2025-06-01 09:41:40,530 - pyskl - INFO - Epoch [118][2100/2353] lr: 2.721e-03, eta: 9:00:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.3735, loss: 1.3735 +2025-06-01 09:42:23,509 - pyskl - INFO - Epoch [118][2200/2353] lr: 2.714e-03, eta: 8:59:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.4132, loss: 1.4132 +2025-06-01 09:43:06,417 - pyskl - INFO - Epoch [118][2300/2353] lr: 2.708e-03, eta: 8:59:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.4016, loss: 1.4016 +2025-06-01 09:43:29,715 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-06-01 09:44:55,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 09:44:55,094 - pyskl - INFO - +top1_acc 0.9478 +top5_acc 0.9945 +2025-06-01 09:44:55,147 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_117.pth was removed +2025-06-01 09:44:56,154 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. +2025-06-01 09:44:56,155 - pyskl - INFO - Best top1_acc is 0.9478 at 118 epoch. +2025-06-01 09:44:56,157 - pyskl - INFO - Epoch(val) [118][1184] top1_acc: 0.9478, top5_acc: 0.9945 +2025-06-01 09:45:59,622 - pyskl - INFO - Epoch [119][100/2353] lr: 2.697e-03, eta: 8:57:54, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.3032, loss: 1.3032 +2025-06-01 09:46:42,583 - pyskl - INFO - Epoch [119][200/2353] lr: 2.690e-03, eta: 8:57:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.3245, loss: 1.3245 +2025-06-01 09:47:25,594 - pyskl - INFO - Epoch [119][300/2353] lr: 2.683e-03, eta: 8:56:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.3719, loss: 1.3719 +2025-06-01 09:48:08,690 - pyskl - INFO - Epoch [119][400/2353] lr: 2.676e-03, eta: 8:55:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.3250, loss: 1.3250 +2025-06-01 09:48:51,714 - pyskl - INFO - Epoch [119][500/2353] lr: 2.669e-03, eta: 8:55:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.3729, loss: 1.3729 +2025-06-01 09:49:34,706 - pyskl - INFO - Epoch [119][600/2353] lr: 2.663e-03, eta: 8:54:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.3261, loss: 1.3261 +2025-06-01 09:50:17,679 - pyskl - INFO - Epoch [119][700/2353] lr: 2.656e-03, eta: 8:53:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2648, loss: 1.2648 +2025-06-01 09:51:00,694 - pyskl - INFO - Epoch [119][800/2353] lr: 2.649e-03, eta: 8:52:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 1.3373, loss: 1.3373 +2025-06-01 09:51:43,885 - pyskl - INFO - Epoch [119][900/2353] lr: 2.642e-03, eta: 8:52:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3656, loss: 1.3656 +2025-06-01 09:52:26,846 - pyskl - INFO - Epoch [119][1000/2353] lr: 2.635e-03, eta: 8:51:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.3725, loss: 1.3725 +2025-06-01 09:53:09,842 - pyskl - INFO - Epoch [119][1100/2353] lr: 2.628e-03, eta: 8:50:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.3128, loss: 1.3128 +2025-06-01 09:53:52,866 - pyskl - INFO - Epoch [119][1200/2353] lr: 2.622e-03, eta: 8:50:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.3468, loss: 1.3468 +2025-06-01 09:54:35,824 - pyskl - INFO - Epoch [119][1300/2353] lr: 2.615e-03, eta: 8:49:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.3411, loss: 1.3411 +2025-06-01 09:55:18,879 - pyskl - INFO - Epoch [119][1400/2353] lr: 2.608e-03, eta: 8:48:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.3350, loss: 1.3350 +2025-06-01 09:56:01,907 - pyskl - INFO - Epoch [119][1500/2353] lr: 2.601e-03, eta: 8:47:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.2780, loss: 1.2780 +2025-06-01 09:56:45,008 - pyskl - INFO - Epoch [119][1600/2353] lr: 2.594e-03, eta: 8:47:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.3992, loss: 1.3992 +2025-06-01 09:57:28,060 - pyskl - INFO - Epoch [119][1700/2353] lr: 2.588e-03, eta: 8:46:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.3306, loss: 1.3306 +2025-06-01 09:58:11,003 - pyskl - INFO - Epoch [119][1800/2353] lr: 2.581e-03, eta: 8:45:45, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.3561, loss: 1.3561 +2025-06-01 09:58:54,076 - pyskl - INFO - Epoch [119][1900/2353] lr: 2.574e-03, eta: 8:45:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.2864, loss: 1.2864 +2025-06-01 09:59:36,982 - pyskl - INFO - Epoch [119][2000/2353] lr: 2.567e-03, eta: 8:44:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.3864, loss: 1.3864 +2025-06-01 10:00:20,130 - pyskl - INFO - Epoch [119][2100/2353] lr: 2.560e-03, eta: 8:43:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.3448, loss: 1.3448 +2025-06-01 10:01:03,213 - pyskl - INFO - Epoch [119][2200/2353] lr: 2.554e-03, eta: 8:42:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.4438, loss: 1.4438 +2025-06-01 10:01:46,277 - pyskl - INFO - Epoch [119][2300/2353] lr: 2.547e-03, eta: 8:42:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.4038, loss: 1.4038 +2025-06-01 10:02:09,695 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-06-01 10:03:34,772 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 10:03:34,847 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9940 +2025-06-01 10:03:34,850 - pyskl - INFO - Epoch(val) [119][1184] top1_acc: 0.9371, top5_acc: 0.9940 +2025-06-01 10:04:38,309 - pyskl - INFO - Epoch [120][100/2353] lr: 2.537e-03, eta: 8:41:04, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2862, loss: 1.2862 +2025-06-01 10:05:21,238 - pyskl - INFO - Epoch [120][200/2353] lr: 2.530e-03, eta: 8:40:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.3167, loss: 1.3167 +2025-06-01 10:06:04,221 - pyskl - INFO - Epoch [120][300/2353] lr: 2.523e-03, eta: 8:39:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3103, loss: 1.3103 +2025-06-01 10:06:47,268 - pyskl - INFO - Epoch [120][400/2353] lr: 2.517e-03, eta: 8:38:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.3118, loss: 1.3118 +2025-06-01 10:07:30,221 - pyskl - INFO - Epoch [120][500/2353] lr: 2.510e-03, eta: 8:38:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3408, loss: 1.3408 +2025-06-01 10:08:13,265 - pyskl - INFO - Epoch [120][600/2353] lr: 2.503e-03, eta: 8:37:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3506, loss: 1.3506 +2025-06-01 10:08:56,148 - pyskl - INFO - Epoch [120][700/2353] lr: 2.497e-03, eta: 8:36:47, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2989, loss: 1.2989 +2025-06-01 10:09:39,175 - pyskl - INFO - Epoch [120][800/2353] lr: 2.490e-03, eta: 8:36:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.3015, loss: 1.3015 +2025-06-01 10:10:22,159 - pyskl - INFO - Epoch [120][900/2353] lr: 2.483e-03, eta: 8:35:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.3246, loss: 1.3246 +2025-06-01 10:11:05,272 - pyskl - INFO - Epoch [120][1000/2353] lr: 2.477e-03, eta: 8:34:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.3795, loss: 1.3795 +2025-06-01 10:11:48,360 - pyskl - INFO - Epoch [120][1100/2353] lr: 2.470e-03, eta: 8:33:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.3224, loss: 1.3224 +2025-06-01 10:12:31,266 - pyskl - INFO - Epoch [120][1200/2353] lr: 2.463e-03, eta: 8:33:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.3186, loss: 1.3186 +2025-06-01 10:13:14,125 - pyskl - INFO - Epoch [120][1300/2353] lr: 2.457e-03, eta: 8:32:30, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.3120, loss: 1.3120 +2025-06-01 10:13:57,087 - pyskl - INFO - Epoch [120][1400/2353] lr: 2.450e-03, eta: 8:31:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3467, loss: 1.3467 +2025-06-01 10:14:40,014 - pyskl - INFO - Epoch [120][1500/2353] lr: 2.443e-03, eta: 8:31:04, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.3658, loss: 1.3658 +2025-06-01 10:15:22,883 - pyskl - INFO - Epoch [120][1600/2353] lr: 2.437e-03, eta: 8:30:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.3220, loss: 1.3220 +2025-06-01 10:16:05,845 - pyskl - INFO - Epoch [120][1700/2353] lr: 2.430e-03, eta: 8:29:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.3572, loss: 1.3572 +2025-06-01 10:16:48,782 - pyskl - INFO - Epoch [120][1800/2353] lr: 2.424e-03, eta: 8:28:55, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.3668, loss: 1.3668 +2025-06-01 10:17:31,758 - pyskl - INFO - Epoch [120][1900/2353] lr: 2.417e-03, eta: 8:28:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3044, loss: 1.3044 +2025-06-01 10:18:14,630 - pyskl - INFO - Epoch [120][2000/2353] lr: 2.410e-03, eta: 8:27:29, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.3706, loss: 1.3706 +2025-06-01 10:18:57,527 - pyskl - INFO - Epoch [120][2100/2353] lr: 2.404e-03, eta: 8:26:46, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.3632, loss: 1.3632 +2025-06-01 10:19:40,409 - pyskl - INFO - Epoch [120][2200/2353] lr: 2.397e-03, eta: 8:26:03, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2954, loss: 1.2954 +2025-06-01 10:20:23,288 - pyskl - INFO - Epoch [120][2300/2353] lr: 2.391e-03, eta: 8:25:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.3634, loss: 1.3634 +2025-06-01 10:20:46,597 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-06-01 10:29:31,933 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 10:29:32,009 - pyskl - INFO - +top1_acc 0.9491 +top5_acc 0.9948 +2025-06-01 10:29:32,063 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_118.pth was removed +2025-06-01 10:29:33,202 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. +2025-06-01 10:29:33,203 - pyskl - INFO - Best top1_acc is 0.9491 at 120 epoch. +2025-06-01 10:29:33,205 - pyskl - INFO - Epoch(val) [120][1184] top1_acc: 0.9491, top5_acc: 0.9948 +2025-06-01 10:30:36,578 - pyskl - INFO - Epoch [121][100/2353] lr: 2.381e-03, eta: 8:24:14, time: 0.634, data_time: 0.207, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.3055, loss: 1.3055 +2025-06-01 10:31:19,285 - pyskl - INFO - Epoch [121][200/2353] lr: 2.374e-03, eta: 8:23:31, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.3476, loss: 1.3476 +2025-06-01 10:32:02,055 - pyskl - INFO - Epoch [121][300/2353] lr: 2.368e-03, eta: 8:22:48, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2791, loss: 1.2791 +2025-06-01 10:32:44,799 - pyskl - INFO - Epoch [121][400/2353] lr: 2.361e-03, eta: 8:22:05, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3037, loss: 1.3037 +2025-06-01 10:33:27,658 - pyskl - INFO - Epoch [121][500/2353] lr: 2.355e-03, eta: 8:21:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2896, loss: 1.2896 +2025-06-01 10:34:10,515 - pyskl - INFO - Epoch [121][600/2353] lr: 2.348e-03, eta: 8:20:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2887, loss: 1.2887 +2025-06-01 10:34:53,250 - pyskl - INFO - Epoch [121][700/2353] lr: 2.342e-03, eta: 8:19:56, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.2977, loss: 1.2977 +2025-06-01 10:35:36,271 - pyskl - INFO - Epoch [121][800/2353] lr: 2.335e-03, eta: 8:19:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.3445, loss: 1.3445 +2025-06-01 10:36:19,153 - pyskl - INFO - Epoch [121][900/2353] lr: 2.329e-03, eta: 8:18:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3435, loss: 1.3435 +2025-06-01 10:37:02,076 - pyskl - INFO - Epoch [121][1000/2353] lr: 2.322e-03, eta: 8:17:48, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3192, loss: 1.3192 +2025-06-01 10:37:44,958 - pyskl - INFO - Epoch [121][1100/2353] lr: 2.316e-03, eta: 8:17:05, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.3140, loss: 1.3140 +2025-06-01 10:38:27,860 - pyskl - INFO - Epoch [121][1200/2353] lr: 2.309e-03, eta: 8:16:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.3273, loss: 1.3273 +2025-06-01 10:39:10,781 - pyskl - INFO - Epoch [121][1300/2353] lr: 2.303e-03, eta: 8:15:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.3656, loss: 1.3656 +2025-06-01 10:39:53,705 - pyskl - INFO - Epoch [121][1400/2353] lr: 2.297e-03, eta: 8:14:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2556, loss: 1.2556 +2025-06-01 10:40:36,681 - pyskl - INFO - Epoch [121][1500/2353] lr: 2.290e-03, eta: 8:14:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 1.2957, loss: 1.2957 +2025-06-01 10:41:19,629 - pyskl - INFO - Epoch [121][1600/2353] lr: 2.284e-03, eta: 8:13:30, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.3261, loss: 1.3261 +2025-06-01 10:42:02,601 - pyskl - INFO - Epoch [121][1700/2353] lr: 2.277e-03, eta: 8:12:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.3199, loss: 1.3199 +2025-06-01 10:42:45,508 - pyskl - INFO - Epoch [121][1800/2353] lr: 2.271e-03, eta: 8:12:04, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2701, loss: 1.2701 +2025-06-01 10:43:28,479 - pyskl - INFO - Epoch [121][1900/2353] lr: 2.265e-03, eta: 8:11:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.3022, loss: 1.3022 +2025-06-01 10:44:11,539 - pyskl - INFO - Epoch [121][2000/2353] lr: 2.258e-03, eta: 8:10:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.3421, loss: 1.3421 +2025-06-01 10:44:54,603 - pyskl - INFO - Epoch [121][2100/2353] lr: 2.252e-03, eta: 8:09:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.3794, loss: 1.3794 +2025-06-01 10:45:37,496 - pyskl - INFO - Epoch [121][2200/2353] lr: 2.245e-03, eta: 8:09:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2761, loss: 1.2761 +2025-06-01 10:46:20,452 - pyskl - INFO - Epoch [121][2300/2353] lr: 2.239e-03, eta: 8:08:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2712, loss: 1.2712 +2025-06-01 10:46:43,728 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-06-01 10:48:09,339 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 10:48:09,414 - pyskl - INFO - +top1_acc 0.9517 +top5_acc 0.9945 +2025-06-01 10:48:09,471 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_120.pth was removed +2025-06-01 10:48:10,499 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2025-06-01 10:48:10,500 - pyskl - INFO - Best top1_acc is 0.9517 at 121 epoch. +2025-06-01 10:48:10,503 - pyskl - INFO - Epoch(val) [121][1184] top1_acc: 0.9517, top5_acc: 0.9945 +2025-06-01 10:49:13,746 - pyskl - INFO - Epoch [122][100/2353] lr: 2.229e-03, eta: 8:07:24, time: 0.632, data_time: 0.202, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2757, loss: 1.2757 +2025-06-01 10:49:56,813 - pyskl - INFO - Epoch [122][200/2353] lr: 2.223e-03, eta: 8:06:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2684, loss: 1.2684 +2025-06-01 10:50:39,729 - pyskl - INFO - Epoch [122][300/2353] lr: 2.217e-03, eta: 8:05:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2763, loss: 1.2763 +2025-06-01 10:51:22,660 - pyskl - INFO - Epoch [122][400/2353] lr: 2.210e-03, eta: 8:05:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2692, loss: 1.2692 +2025-06-01 10:52:05,601 - pyskl - INFO - Epoch [122][500/2353] lr: 2.204e-03, eta: 8:04:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2879, loss: 1.2879 +2025-06-01 10:52:48,501 - pyskl - INFO - Epoch [122][600/2353] lr: 2.198e-03, eta: 8:03:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2327, loss: 1.2327 +2025-06-01 10:53:31,384 - pyskl - INFO - Epoch [122][700/2353] lr: 2.191e-03, eta: 8:03:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2505, loss: 1.2505 +2025-06-01 10:54:14,292 - pyskl - INFO - Epoch [122][800/2353] lr: 2.185e-03, eta: 8:02:23, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3321, loss: 1.3321 +2025-06-01 10:54:57,220 - pyskl - INFO - Epoch [122][900/2353] lr: 2.179e-03, eta: 8:01:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.3033, loss: 1.3033 +2025-06-01 10:55:40,150 - pyskl - INFO - Epoch [122][1000/2353] lr: 2.173e-03, eta: 8:00:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.3223, loss: 1.3223 +2025-06-01 10:56:22,990 - pyskl - INFO - Epoch [122][1100/2353] lr: 2.166e-03, eta: 8:00:14, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2600, loss: 1.2600 +2025-06-01 10:57:05,891 - pyskl - INFO - Epoch [122][1200/2353] lr: 2.160e-03, eta: 7:59:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.3089, loss: 1.3089 +2025-06-01 10:57:48,914 - pyskl - INFO - Epoch [122][1300/2353] lr: 2.154e-03, eta: 7:58:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.2991, loss: 1.2991 +2025-06-01 10:58:32,125 - pyskl - INFO - Epoch [122][1400/2353] lr: 2.148e-03, eta: 7:58:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2551, loss: 1.2551 +2025-06-01 10:59:15,250 - pyskl - INFO - Epoch [122][1500/2353] lr: 2.141e-03, eta: 7:57:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2771, loss: 1.2771 +2025-06-01 10:59:58,179 - pyskl - INFO - Epoch [122][1600/2353] lr: 2.135e-03, eta: 7:56:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2210, loss: 1.2210 +2025-06-01 11:00:41,130 - pyskl - INFO - Epoch [122][1700/2353] lr: 2.129e-03, eta: 7:55:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2565, loss: 1.2565 +2025-06-01 11:01:24,018 - pyskl - INFO - Epoch [122][1800/2353] lr: 2.123e-03, eta: 7:55:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.3162, loss: 1.3162 +2025-06-01 11:02:06,951 - pyskl - INFO - Epoch [122][1900/2353] lr: 2.117e-03, eta: 7:54:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.3018, loss: 1.3018 +2025-06-01 11:02:49,914 - pyskl - INFO - Epoch [122][2000/2353] lr: 2.110e-03, eta: 7:53:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3127, loss: 1.3127 +2025-06-01 11:03:32,855 - pyskl - INFO - Epoch [122][2100/2353] lr: 2.104e-03, eta: 7:53:05, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2687, loss: 1.2687 +2025-06-01 11:04:15,626 - pyskl - INFO - Epoch [122][2200/2353] lr: 2.098e-03, eta: 7:52:22, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2611, loss: 1.2611 +2025-06-01 11:04:58,513 - pyskl - INFO - Epoch [122][2300/2353] lr: 2.092e-03, eta: 7:51:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.3062, loss: 1.3062 +2025-06-01 11:05:21,840 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-06-01 11:06:47,200 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 11:06:47,275 - pyskl - INFO - +top1_acc 0.9461 +top5_acc 0.9942 +2025-06-01 11:06:47,278 - pyskl - INFO - Epoch(val) [122][1184] top1_acc: 0.9461, top5_acc: 0.9942 +2025-06-01 11:07:50,934 - pyskl - INFO - Epoch [123][100/2353] lr: 2.082e-03, eta: 7:50:33, time: 0.637, data_time: 0.206, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3009, loss: 1.3009 +2025-06-01 11:08:33,815 - pyskl - INFO - Epoch [123][200/2353] lr: 2.076e-03, eta: 7:49:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.2550, loss: 1.2550 +2025-06-01 11:09:16,902 - pyskl - INFO - Epoch [123][300/2353] lr: 2.070e-03, eta: 7:49:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2424, loss: 1.2424 +2025-06-01 11:09:59,765 - pyskl - INFO - Epoch [123][400/2353] lr: 2.064e-03, eta: 7:48:25, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2798, loss: 1.2798 +2025-06-01 11:10:42,631 - pyskl - INFO - Epoch [123][500/2353] lr: 2.058e-03, eta: 7:47:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2201, loss: 1.2201 +2025-06-01 11:11:25,518 - pyskl - INFO - Epoch [123][600/2353] lr: 2.052e-03, eta: 7:46:59, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.3107, loss: 1.3107 +2025-06-01 11:12:08,337 - pyskl - INFO - Epoch [123][700/2353] lr: 2.046e-03, eta: 7:46:16, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2285, loss: 1.2285 +2025-06-01 11:12:51,221 - pyskl - INFO - Epoch [123][800/2353] lr: 2.040e-03, eta: 7:45:33, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.2276, loss: 1.2276 +2025-06-01 11:13:34,199 - pyskl - INFO - Epoch [123][900/2353] lr: 2.033e-03, eta: 7:44:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2655, loss: 1.2655 +2025-06-01 11:14:17,217 - pyskl - INFO - Epoch [123][1000/2353] lr: 2.027e-03, eta: 7:44:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.3248, loss: 1.3248 +2025-06-01 11:15:00,202 - pyskl - INFO - Epoch [123][1100/2353] lr: 2.021e-03, eta: 7:43:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2400, loss: 1.2400 +2025-06-01 11:15:43,100 - pyskl - INFO - Epoch [123][1200/2353] lr: 2.015e-03, eta: 7:42:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2743, loss: 1.2743 +2025-06-01 11:16:26,130 - pyskl - INFO - Epoch [123][1300/2353] lr: 2.009e-03, eta: 7:41:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2483, loss: 1.2483 +2025-06-01 11:17:09,085 - pyskl - INFO - Epoch [123][1400/2353] lr: 2.003e-03, eta: 7:41:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.3025, loss: 1.3025 +2025-06-01 11:17:52,146 - pyskl - INFO - Epoch [123][1500/2353] lr: 1.997e-03, eta: 7:40:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2293, loss: 1.2293 +2025-06-01 11:18:35,106 - pyskl - INFO - Epoch [123][1600/2353] lr: 1.991e-03, eta: 7:39:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.2881, loss: 1.2881 +2025-06-01 11:19:18,049 - pyskl - INFO - Epoch [123][1700/2353] lr: 1.985e-03, eta: 7:39:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2540, loss: 1.2540 +2025-06-01 11:20:00,968 - pyskl - INFO - Epoch [123][1800/2353] lr: 1.979e-03, eta: 7:38:24, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2385, loss: 1.2385 +2025-06-01 11:20:43,854 - pyskl - INFO - Epoch [123][1900/2353] lr: 1.973e-03, eta: 7:37:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.2579, loss: 1.2579 +2025-06-01 11:21:26,725 - pyskl - INFO - Epoch [123][2000/2353] lr: 1.967e-03, eta: 7:36:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2324, loss: 1.2324 +2025-06-01 11:22:09,627 - pyskl - INFO - Epoch [123][2100/2353] lr: 1.961e-03, eta: 7:36:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2541, loss: 1.2541 +2025-06-01 11:22:52,515 - pyskl - INFO - Epoch [123][2200/2353] lr: 1.955e-03, eta: 7:35:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2633, loss: 1.2633 +2025-06-01 11:23:35,408 - pyskl - INFO - Epoch [123][2300/2353] lr: 1.949e-03, eta: 7:34:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2037, loss: 1.2037 +2025-06-01 11:23:58,631 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-06-01 11:25:24,136 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 11:25:24,213 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9951 +2025-06-01 11:25:24,269 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_121.pth was removed +2025-06-01 11:25:25,284 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. +2025-06-01 11:25:25,285 - pyskl - INFO - Best top1_acc is 0.9545 at 123 epoch. +2025-06-01 11:25:25,288 - pyskl - INFO - Epoch(val) [123][1184] top1_acc: 0.9545, top5_acc: 0.9951 +2025-06-01 11:26:29,045 - pyskl - INFO - Epoch [124][100/2353] lr: 1.940e-03, eta: 7:33:43, time: 0.638, data_time: 0.205, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2220, loss: 1.2220 +2025-06-01 11:27:11,928 - pyskl - INFO - Epoch [124][200/2353] lr: 1.934e-03, eta: 7:33:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.2229, loss: 1.2229 +2025-06-01 11:27:55,053 - pyskl - INFO - Epoch [124][300/2353] lr: 1.928e-03, eta: 7:32:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1758, loss: 1.1758 +2025-06-01 11:28:38,166 - pyskl - INFO - Epoch [124][400/2353] lr: 1.922e-03, eta: 7:31:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2256, loss: 1.2256 +2025-06-01 11:29:21,148 - pyskl - INFO - Epoch [124][500/2353] lr: 1.916e-03, eta: 7:30:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2385, loss: 1.2385 +2025-06-01 11:30:04,101 - pyskl - INFO - Epoch [124][600/2353] lr: 1.910e-03, eta: 7:30:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2380, loss: 1.2380 +2025-06-01 11:30:47,068 - pyskl - INFO - Epoch [124][700/2353] lr: 1.904e-03, eta: 7:29:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2022, loss: 1.2022 +2025-06-01 11:31:30,145 - pyskl - INFO - Epoch [124][800/2353] lr: 1.899e-03, eta: 7:28:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2084, loss: 1.2084 +2025-06-01 11:32:13,248 - pyskl - INFO - Epoch [124][900/2353] lr: 1.893e-03, eta: 7:28:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.2132, loss: 1.2132 +2025-06-01 11:32:56,296 - pyskl - INFO - Epoch [124][1000/2353] lr: 1.887e-03, eta: 7:27:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2327, loss: 1.2327 +2025-06-01 11:33:39,323 - pyskl - INFO - Epoch [124][1100/2353] lr: 1.881e-03, eta: 7:26:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1710, loss: 1.1710 +2025-06-01 11:34:22,205 - pyskl - INFO - Epoch [124][1200/2353] lr: 1.875e-03, eta: 7:25:51, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2145, loss: 1.2145 +2025-06-01 11:35:05,161 - pyskl - INFO - Epoch [124][1300/2353] lr: 1.869e-03, eta: 7:25:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2340, loss: 1.2340 +2025-06-01 11:35:48,125 - pyskl - INFO - Epoch [124][1400/2353] lr: 1.863e-03, eta: 7:24:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2177, loss: 1.2177 +2025-06-01 11:36:31,061 - pyskl - INFO - Epoch [124][1500/2353] lr: 1.857e-03, eta: 7:23:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1811, loss: 1.1811 +2025-06-01 11:37:13,936 - pyskl - INFO - Epoch [124][1600/2353] lr: 1.852e-03, eta: 7:23:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2375, loss: 1.2375 +2025-06-01 11:37:56,826 - pyskl - INFO - Epoch [124][1700/2353] lr: 1.846e-03, eta: 7:22:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2218, loss: 1.2218 +2025-06-01 11:38:39,686 - pyskl - INFO - Epoch [124][1800/2353] lr: 1.840e-03, eta: 7:21:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.2277, loss: 1.2277 +2025-06-01 11:39:22,609 - pyskl - INFO - Epoch [124][1900/2353] lr: 1.834e-03, eta: 7:20:51, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2254, loss: 1.2254 +2025-06-01 11:40:05,507 - pyskl - INFO - Epoch [124][2000/2353] lr: 1.828e-03, eta: 7:20:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2521, loss: 1.2521 +2025-06-01 11:40:48,410 - pyskl - INFO - Epoch [124][2100/2353] lr: 1.823e-03, eta: 7:19:25, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2283, loss: 1.2283 +2025-06-01 11:41:31,484 - pyskl - INFO - Epoch [124][2200/2353] lr: 1.817e-03, eta: 7:18:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.2682, loss: 1.2682 +2025-06-01 11:42:14,390 - pyskl - INFO - Epoch [124][2300/2353] lr: 1.811e-03, eta: 7:17:59, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2538, loss: 1.2538 +2025-06-01 11:42:37,683 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-06-01 11:44:03,143 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 11:44:03,217 - pyskl - INFO - +top1_acc 0.9559 +top5_acc 0.9951 +2025-06-01 11:44:03,269 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_123.pth was removed +2025-06-01 11:44:04,236 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. +2025-06-01 11:44:04,237 - pyskl - INFO - Best top1_acc is 0.9559 at 124 epoch. +2025-06-01 11:44:04,240 - pyskl - INFO - Epoch(val) [124][1184] top1_acc: 0.9559, top5_acc: 0.9951 +2025-06-01 11:45:08,268 - pyskl - INFO - Epoch [125][100/2353] lr: 1.802e-03, eta: 7:16:53, time: 0.640, data_time: 0.209, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2490, loss: 1.2490 +2025-06-01 11:45:51,331 - pyskl - INFO - Epoch [125][200/2353] lr: 1.796e-03, eta: 7:16:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2107, loss: 1.2107 +2025-06-01 11:46:34,314 - pyskl - INFO - Epoch [125][300/2353] lr: 1.791e-03, eta: 7:15:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3008, loss: 1.3008 +2025-06-01 11:47:17,221 - pyskl - INFO - Epoch [125][400/2353] lr: 1.785e-03, eta: 7:14:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2670, loss: 1.2670 +2025-06-01 11:48:00,089 - pyskl - INFO - Epoch [125][500/2353] lr: 1.779e-03, eta: 7:14:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2168, loss: 1.2168 +2025-06-01 11:48:42,920 - pyskl - INFO - Epoch [125][600/2353] lr: 1.774e-03, eta: 7:13:19, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2446, loss: 1.2446 +2025-06-01 11:49:25,772 - pyskl - INFO - Epoch [125][700/2353] lr: 1.768e-03, eta: 7:12:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2481, loss: 1.2481 +2025-06-01 11:50:08,731 - pyskl - INFO - Epoch [125][800/2353] lr: 1.762e-03, eta: 7:11:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.1938, loss: 1.1938 +2025-06-01 11:50:51,718 - pyskl - INFO - Epoch [125][900/2353] lr: 1.756e-03, eta: 7:11:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2491, loss: 1.2491 +2025-06-01 11:51:34,715 - pyskl - INFO - Epoch [125][1000/2353] lr: 1.751e-03, eta: 7:10:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2178, loss: 1.2178 +2025-06-01 11:52:17,696 - pyskl - INFO - Epoch [125][1100/2353] lr: 1.745e-03, eta: 7:09:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2000, loss: 1.2000 +2025-06-01 11:53:00,906 - pyskl - INFO - Epoch [125][1200/2353] lr: 1.739e-03, eta: 7:09:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.2230, loss: 1.2230 +2025-06-01 11:53:43,905 - pyskl - INFO - Epoch [125][1300/2353] lr: 1.734e-03, eta: 7:08:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1851, loss: 1.1851 +2025-06-01 11:54:26,810 - pyskl - INFO - Epoch [125][1400/2353] lr: 1.728e-03, eta: 7:07:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2353, loss: 1.2353 +2025-06-01 11:55:09,692 - pyskl - INFO - Epoch [125][1500/2353] lr: 1.723e-03, eta: 7:06:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2273, loss: 1.2273 +2025-06-01 11:55:52,621 - pyskl - INFO - Epoch [125][1600/2353] lr: 1.717e-03, eta: 7:06:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2270, loss: 1.2270 +2025-06-01 11:56:35,588 - pyskl - INFO - Epoch [125][1700/2353] lr: 1.711e-03, eta: 7:05:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1455, loss: 1.1455 +2025-06-01 11:57:18,566 - pyskl - INFO - Epoch [125][1800/2353] lr: 1.706e-03, eta: 7:04:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2017, loss: 1.2017 +2025-06-01 11:58:01,558 - pyskl - INFO - Epoch [125][1900/2353] lr: 1.700e-03, eta: 7:04:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2547, loss: 1.2547 +2025-06-01 11:58:44,505 - pyskl - INFO - Epoch [125][2000/2353] lr: 1.694e-03, eta: 7:03:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2967, loss: 1.2967 +2025-06-01 11:59:27,370 - pyskl - INFO - Epoch [125][2100/2353] lr: 1.689e-03, eta: 7:02:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2091, loss: 1.2091 +2025-06-01 12:00:10,369 - pyskl - INFO - Epoch [125][2200/2353] lr: 1.683e-03, eta: 7:01:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2154, loss: 1.2154 +2025-06-01 12:00:53,240 - pyskl - INFO - Epoch [125][2300/2353] lr: 1.678e-03, eta: 7:01:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2426, loss: 1.2426 +2025-06-01 12:01:16,483 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-06-01 12:09:51,627 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 12:09:51,702 - pyskl - INFO - +top1_acc 0.9573 +top5_acc 0.9952 +2025-06-01 12:09:51,759 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_124.pth was removed +2025-06-01 12:09:52,800 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. +2025-06-01 12:09:52,801 - pyskl - INFO - Best top1_acc is 0.9573 at 125 epoch. +2025-06-01 12:09:52,804 - pyskl - INFO - Epoch(val) [125][1184] top1_acc: 0.9573, top5_acc: 0.9952 +2025-06-01 12:10:56,057 - pyskl - INFO - Epoch [126][100/2353] lr: 1.669e-03, eta: 7:00:03, time: 0.632, data_time: 0.205, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1667, loss: 1.1667 +2025-06-01 12:11:38,826 - pyskl - INFO - Epoch [126][200/2353] lr: 1.664e-03, eta: 6:59:20, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2030, loss: 1.2030 +2025-06-01 12:12:21,651 - pyskl - INFO - Epoch [126][300/2353] lr: 1.658e-03, eta: 6:58:37, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2041, loss: 1.2041 +2025-06-01 12:13:04,490 - pyskl - INFO - Epoch [126][400/2353] lr: 1.653e-03, eta: 6:57:54, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1854, loss: 1.1854 +2025-06-01 12:13:47,284 - pyskl - INFO - Epoch [126][500/2353] lr: 1.647e-03, eta: 6:57:11, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1767, loss: 1.1767 +2025-06-01 12:14:30,053 - pyskl - INFO - Epoch [126][600/2353] lr: 1.642e-03, eta: 6:56:28, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2370, loss: 1.2370 +2025-06-01 12:15:12,825 - pyskl - INFO - Epoch [126][700/2353] lr: 1.636e-03, eta: 6:55:45, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2145, loss: 1.2145 +2025-06-01 12:15:55,605 - pyskl - INFO - Epoch [126][800/2353] lr: 1.631e-03, eta: 6:55:02, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2031, loss: 1.2031 +2025-06-01 12:16:38,449 - pyskl - INFO - Epoch [126][900/2353] lr: 1.625e-03, eta: 6:54:19, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.2247, loss: 1.2247 +2025-06-01 12:17:21,394 - pyskl - INFO - Epoch [126][1000/2353] lr: 1.620e-03, eta: 6:53:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2597, loss: 1.2597 +2025-06-01 12:18:04,374 - pyskl - INFO - Epoch [126][1100/2353] lr: 1.614e-03, eta: 6:52:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2161, loss: 1.2161 +2025-06-01 12:18:47,541 - pyskl - INFO - Epoch [126][1200/2353] lr: 1.609e-03, eta: 6:52:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2037, loss: 1.2037 +2025-06-01 12:19:30,456 - pyskl - INFO - Epoch [126][1300/2353] lr: 1.603e-03, eta: 6:51:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2406, loss: 1.2406 +2025-06-01 12:20:13,445 - pyskl - INFO - Epoch [126][1400/2353] lr: 1.598e-03, eta: 6:50:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 1.1871, loss: 1.1871 +2025-06-01 12:20:56,436 - pyskl - INFO - Epoch [126][1500/2353] lr: 1.592e-03, eta: 6:50:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1996, loss: 1.1996 +2025-06-01 12:21:39,348 - pyskl - INFO - Epoch [126][1600/2353] lr: 1.587e-03, eta: 6:49:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1776, loss: 1.1776 +2025-06-01 12:22:22,378 - pyskl - INFO - Epoch [126][1700/2353] lr: 1.581e-03, eta: 6:48:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1676, loss: 1.1676 +2025-06-01 12:23:05,348 - pyskl - INFO - Epoch [126][1800/2353] lr: 1.576e-03, eta: 6:47:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1657, loss: 1.1657 +2025-06-01 12:23:48,241 - pyskl - INFO - Epoch [126][1900/2353] lr: 1.571e-03, eta: 6:47:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1502, loss: 1.1502 +2025-06-01 12:24:31,142 - pyskl - INFO - Epoch [126][2000/2353] lr: 1.565e-03, eta: 6:46:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2184, loss: 1.2184 +2025-06-01 12:25:14,146 - pyskl - INFO - Epoch [126][2100/2353] lr: 1.560e-03, eta: 6:45:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1774, loss: 1.1774 +2025-06-01 12:25:57,136 - pyskl - INFO - Epoch [126][2200/2353] lr: 1.554e-03, eta: 6:45:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1847, loss: 1.1847 +2025-06-01 12:26:40,048 - pyskl - INFO - Epoch [126][2300/2353] lr: 1.549e-03, eta: 6:44:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1809, loss: 1.1809 +2025-06-01 12:27:03,354 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-06-01 12:28:28,943 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 12:28:29,018 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9952 +2025-06-01 12:28:29,021 - pyskl - INFO - Epoch(val) [126][1184] top1_acc: 0.9564, top5_acc: 0.9952 +2025-06-01 12:29:32,525 - pyskl - INFO - Epoch [127][100/2353] lr: 1.541e-03, eta: 6:43:13, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1457, loss: 1.1457 +2025-06-01 12:30:15,549 - pyskl - INFO - Epoch [127][200/2353] lr: 1.536e-03, eta: 6:42:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1272, loss: 1.1272 +2025-06-01 12:30:58,660 - pyskl - INFO - Epoch [127][300/2353] lr: 1.530e-03, eta: 6:41:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1385, loss: 1.1385 +2025-06-01 12:31:41,710 - pyskl - INFO - Epoch [127][400/2353] lr: 1.525e-03, eta: 6:41:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1891, loss: 1.1891 +2025-06-01 12:32:24,664 - pyskl - INFO - Epoch [127][500/2353] lr: 1.520e-03, eta: 6:40:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2055, loss: 1.2055 +2025-06-01 12:33:07,576 - pyskl - INFO - Epoch [127][600/2353] lr: 1.514e-03, eta: 6:39:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1941, loss: 1.1941 +2025-06-01 12:33:50,506 - pyskl - INFO - Epoch [127][700/2353] lr: 1.509e-03, eta: 6:38:55, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1807, loss: 1.1807 +2025-06-01 12:34:33,497 - pyskl - INFO - Epoch [127][800/2353] lr: 1.504e-03, eta: 6:38:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1584, loss: 1.1584 +2025-06-01 12:35:16,514 - pyskl - INFO - Epoch [127][900/2353] lr: 1.498e-03, eta: 6:37:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1739, loss: 1.1739 +2025-06-01 12:35:59,636 - pyskl - INFO - Epoch [127][1000/2353] lr: 1.493e-03, eta: 6:36:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1595, loss: 1.1595 +2025-06-01 12:36:42,543 - pyskl - INFO - Epoch [127][1100/2353] lr: 1.488e-03, eta: 6:36:04, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1667, loss: 1.1667 +2025-06-01 12:37:25,433 - pyskl - INFO - Epoch [127][1200/2353] lr: 1.483e-03, eta: 6:35:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2234, loss: 1.2234 +2025-06-01 12:38:08,293 - pyskl - INFO - Epoch [127][1300/2353] lr: 1.477e-03, eta: 6:34:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2022, loss: 1.2022 +2025-06-01 12:38:51,255 - pyskl - INFO - Epoch [127][1400/2353] lr: 1.472e-03, eta: 6:33:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2058, loss: 1.2058 +2025-06-01 12:39:34,208 - pyskl - INFO - Epoch [127][1500/2353] lr: 1.467e-03, eta: 6:33:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1490, loss: 1.1490 +2025-06-01 12:40:17,163 - pyskl - INFO - Epoch [127][1600/2353] lr: 1.462e-03, eta: 6:32:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1478, loss: 1.1478 +2025-06-01 12:41:00,318 - pyskl - INFO - Epoch [127][1700/2353] lr: 1.456e-03, eta: 6:31:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.1395, loss: 1.1395 +2025-06-01 12:41:43,346 - pyskl - INFO - Epoch [127][1800/2353] lr: 1.451e-03, eta: 6:31:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1272, loss: 1.1272 +2025-06-01 12:42:26,314 - pyskl - INFO - Epoch [127][1900/2353] lr: 1.446e-03, eta: 6:30:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1091, loss: 1.1091 +2025-06-01 12:43:09,271 - pyskl - INFO - Epoch [127][2000/2353] lr: 1.441e-03, eta: 6:29:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1585, loss: 1.1585 +2025-06-01 12:43:52,126 - pyskl - INFO - Epoch [127][2100/2353] lr: 1.436e-03, eta: 6:28:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1585, loss: 1.1585 +2025-06-01 12:44:35,040 - pyskl - INFO - Epoch [127][2200/2353] lr: 1.430e-03, eta: 6:28:12, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1907, loss: 1.1907 +2025-06-01 12:45:17,956 - pyskl - INFO - Epoch [127][2300/2353] lr: 1.425e-03, eta: 6:27:29, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1466, loss: 1.1466 +2025-06-01 12:45:41,207 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-06-01 12:47:06,571 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 12:47:06,645 - pyskl - INFO - +top1_acc 0.9486 +top5_acc 0.9957 +2025-06-01 12:47:06,648 - pyskl - INFO - Epoch(val) [127][1184] top1_acc: 0.9486, top5_acc: 0.9957 +2025-06-01 12:48:09,912 - pyskl - INFO - Epoch [128][100/2353] lr: 1.417e-03, eta: 6:26:23, time: 0.633, data_time: 0.205, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1630, loss: 1.1630 +2025-06-01 12:48:52,918 - pyskl - INFO - Epoch [128][200/2353] lr: 1.412e-03, eta: 6:25:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1762, loss: 1.1762 +2025-06-01 12:49:36,014 - pyskl - INFO - Epoch [128][300/2353] lr: 1.407e-03, eta: 6:24:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1862, loss: 1.1862 +2025-06-01 12:50:19,176 - pyskl - INFO - Epoch [128][400/2353] lr: 1.402e-03, eta: 6:24:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1832, loss: 1.1832 +2025-06-01 12:51:02,061 - pyskl - INFO - Epoch [128][500/2353] lr: 1.397e-03, eta: 6:23:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1653, loss: 1.1653 +2025-06-01 12:51:44,847 - pyskl - INFO - Epoch [128][600/2353] lr: 1.392e-03, eta: 6:22:48, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1530, loss: 1.1530 +2025-06-01 12:52:27,662 - pyskl - INFO - Epoch [128][700/2353] lr: 1.387e-03, eta: 6:22:05, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1485, loss: 1.1485 +2025-06-01 12:53:10,537 - pyskl - INFO - Epoch [128][800/2353] lr: 1.382e-03, eta: 6:21:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 1.1184, loss: 1.1184 +2025-06-01 12:53:53,473 - pyskl - INFO - Epoch [128][900/2353] lr: 1.376e-03, eta: 6:20:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1253, loss: 1.1253 +2025-06-01 12:54:36,486 - pyskl - INFO - Epoch [128][1000/2353] lr: 1.371e-03, eta: 6:19:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1173, loss: 1.1173 +2025-06-01 12:55:19,437 - pyskl - INFO - Epoch [128][1100/2353] lr: 1.366e-03, eta: 6:19:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1486, loss: 1.1486 +2025-06-01 12:56:02,371 - pyskl - INFO - Epoch [128][1200/2353] lr: 1.361e-03, eta: 6:18:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1908, loss: 1.1908 +2025-06-01 12:56:45,302 - pyskl - INFO - Epoch [128][1300/2353] lr: 1.356e-03, eta: 6:17:48, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1356, loss: 1.1356 +2025-06-01 12:57:28,205 - pyskl - INFO - Epoch [128][1400/2353] lr: 1.351e-03, eta: 6:17:05, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1494, loss: 1.1494 +2025-06-01 12:58:11,200 - pyskl - INFO - Epoch [128][1500/2353] lr: 1.346e-03, eta: 6:16:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1120, loss: 1.1120 +2025-06-01 12:58:54,180 - pyskl - INFO - Epoch [128][1600/2353] lr: 1.341e-03, eta: 6:15:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1563, loss: 1.1563 +2025-06-01 12:59:36,940 - pyskl - INFO - Epoch [128][1700/2353] lr: 1.336e-03, eta: 6:14:56, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1197, loss: 1.1197 +2025-06-01 13:00:19,771 - pyskl - INFO - Epoch [128][1800/2353] lr: 1.331e-03, eta: 6:14:13, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1828, loss: 1.1828 +2025-06-01 13:01:02,545 - pyskl - INFO - Epoch [128][1900/2353] lr: 1.326e-03, eta: 6:13:30, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1620, loss: 1.1620 +2025-06-01 13:01:45,446 - pyskl - INFO - Epoch [128][2000/2353] lr: 1.321e-03, eta: 6:12:47, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1584, loss: 1.1584 +2025-06-01 13:02:28,446 - pyskl - INFO - Epoch [128][2100/2353] lr: 1.316e-03, eta: 6:12:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1246, loss: 1.1246 +2025-06-01 13:03:11,421 - pyskl - INFO - Epoch [128][2200/2353] lr: 1.311e-03, eta: 6:11:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1746, loss: 1.1746 +2025-06-01 13:03:54,433 - pyskl - INFO - Epoch [128][2300/2353] lr: 1.306e-03, eta: 6:10:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1632, loss: 1.1632 +2025-06-01 13:04:17,733 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-06-01 13:05:43,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 13:05:43,095 - pyskl - INFO - +top1_acc 0.9549 +top5_acc 0.9955 +2025-06-01 13:05:43,098 - pyskl - INFO - Epoch(val) [128][1184] top1_acc: 0.9549, top5_acc: 0.9955 +2025-06-01 13:06:46,374 - pyskl - INFO - Epoch [129][100/2353] lr: 1.299e-03, eta: 6:09:32, time: 0.633, data_time: 0.205, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1380, loss: 1.1380 +2025-06-01 13:07:29,386 - pyskl - INFO - Epoch [129][200/2353] lr: 1.294e-03, eta: 6:08:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1434, loss: 1.1434 +2025-06-01 13:08:12,409 - pyskl - INFO - Epoch [129][300/2353] lr: 1.289e-03, eta: 6:08:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1687, loss: 1.1687 +2025-06-01 13:08:55,448 - pyskl - INFO - Epoch [129][400/2353] lr: 1.284e-03, eta: 6:07:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1313, loss: 1.1313 +2025-06-01 13:09:38,425 - pyskl - INFO - Epoch [129][500/2353] lr: 1.279e-03, eta: 6:06:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1243, loss: 1.1243 +2025-06-01 13:10:21,289 - pyskl - INFO - Epoch [129][600/2353] lr: 1.274e-03, eta: 6:05:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1126, loss: 1.1126 +2025-06-01 13:11:04,253 - pyskl - INFO - Epoch [129][700/2353] lr: 1.269e-03, eta: 6:05:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1575, loss: 1.1575 +2025-06-01 13:11:47,213 - pyskl - INFO - Epoch [129][800/2353] lr: 1.264e-03, eta: 6:04:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1075, loss: 1.1075 +2025-06-01 13:12:30,250 - pyskl - INFO - Epoch [129][900/2353] lr: 1.259e-03, eta: 6:03:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1864, loss: 1.1864 +2025-06-01 13:13:13,401 - pyskl - INFO - Epoch [129][1000/2353] lr: 1.255e-03, eta: 6:03:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1234, loss: 1.1234 +2025-06-01 13:13:56,666 - pyskl - INFO - Epoch [129][1100/2353] lr: 1.250e-03, eta: 6:02:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1197, loss: 1.1197 +2025-06-01 13:14:39,717 - pyskl - INFO - Epoch [129][1200/2353] lr: 1.245e-03, eta: 6:01:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1335, loss: 1.1335 +2025-06-01 13:15:22,601 - pyskl - INFO - Epoch [129][1300/2353] lr: 1.240e-03, eta: 6:00:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1478, loss: 1.1478 +2025-06-01 13:16:05,627 - pyskl - INFO - Epoch [129][1400/2353] lr: 1.235e-03, eta: 6:00:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1349, loss: 1.1349 +2025-06-01 13:16:48,617 - pyskl - INFO - Epoch [129][1500/2353] lr: 1.230e-03, eta: 5:59:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1546, loss: 1.1546 +2025-06-01 13:17:31,584 - pyskl - INFO - Epoch [129][1600/2353] lr: 1.226e-03, eta: 5:58:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1562, loss: 1.1562 +2025-06-01 13:18:14,488 - pyskl - INFO - Epoch [129][1700/2353] lr: 1.221e-03, eta: 5:58:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1218, loss: 1.1218 +2025-06-01 13:18:57,403 - pyskl - INFO - Epoch [129][1800/2353] lr: 1.216e-03, eta: 5:57:23, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1394, loss: 1.1394 +2025-06-01 13:19:40,433 - pyskl - INFO - Epoch [129][1900/2353] lr: 1.211e-03, eta: 5:56:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1794, loss: 1.1794 +2025-06-01 13:20:23,341 - pyskl - INFO - Epoch [129][2000/2353] lr: 1.206e-03, eta: 5:55:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1523, loss: 1.1523 +2025-06-01 13:21:06,371 - pyskl - INFO - Epoch [129][2100/2353] lr: 1.202e-03, eta: 5:55:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1620, loss: 1.1620 +2025-06-01 13:21:49,225 - pyskl - INFO - Epoch [129][2200/2353] lr: 1.197e-03, eta: 5:54:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1471, loss: 1.1471 +2025-06-01 13:22:32,195 - pyskl - INFO - Epoch [129][2300/2353] lr: 1.192e-03, eta: 5:53:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1527, loss: 1.1527 +2025-06-01 13:22:55,496 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-06-01 13:24:20,668 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 13:24:20,743 - pyskl - INFO - +top1_acc 0.9539 +top5_acc 0.9950 +2025-06-01 13:24:20,747 - pyskl - INFO - Epoch(val) [129][1184] top1_acc: 0.9539, top5_acc: 0.9950 +2025-06-01 13:25:24,630 - pyskl - INFO - Epoch [130][100/2353] lr: 1.185e-03, eta: 5:52:43, time: 0.639, data_time: 0.207, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1014, loss: 1.1014 +2025-06-01 13:26:07,740 - pyskl - INFO - Epoch [130][200/2353] lr: 1.180e-03, eta: 5:52:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0963, loss: 1.0963 +2025-06-01 13:26:50,743 - pyskl - INFO - Epoch [130][300/2353] lr: 1.176e-03, eta: 5:51:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1162, loss: 1.1162 +2025-06-01 13:27:33,761 - pyskl - INFO - Epoch [130][400/2353] lr: 1.171e-03, eta: 5:50:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1099, loss: 1.1099 +2025-06-01 13:28:16,654 - pyskl - INFO - Epoch [130][500/2353] lr: 1.166e-03, eta: 5:49:51, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1069, loss: 1.1069 +2025-06-01 13:28:59,565 - pyskl - INFO - Epoch [130][600/2353] lr: 1.161e-03, eta: 5:49:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1271, loss: 1.1271 +2025-06-01 13:29:42,390 - pyskl - INFO - Epoch [130][700/2353] lr: 1.157e-03, eta: 5:48:25, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1401, loss: 1.1401 +2025-06-01 13:30:25,238 - pyskl - INFO - Epoch [130][800/2353] lr: 1.152e-03, eta: 5:47:42, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1553, loss: 1.1553 +2025-06-01 13:31:08,259 - pyskl - INFO - Epoch [130][900/2353] lr: 1.147e-03, eta: 5:46:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1486, loss: 1.1486 +2025-06-01 13:31:51,164 - pyskl - INFO - Epoch [130][1000/2353] lr: 1.143e-03, eta: 5:46:16, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1232, loss: 1.1232 +2025-06-01 13:32:34,028 - pyskl - INFO - Epoch [130][1100/2353] lr: 1.138e-03, eta: 5:45:33, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1492, loss: 1.1492 +2025-06-01 13:33:16,830 - pyskl - INFO - Epoch [130][1200/2353] lr: 1.134e-03, eta: 5:44:51, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0827, loss: 1.0827 +2025-06-01 13:33:59,762 - pyskl - INFO - Epoch [130][1300/2353] lr: 1.129e-03, eta: 5:44:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1266, loss: 1.1266 +2025-06-01 13:34:42,462 - pyskl - INFO - Epoch [130][1400/2353] lr: 1.124e-03, eta: 5:43:25, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0952, loss: 1.0952 +2025-06-01 13:35:25,391 - pyskl - INFO - Epoch [130][1500/2353] lr: 1.120e-03, eta: 5:42:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1064, loss: 1.1064 +2025-06-01 13:36:08,315 - pyskl - INFO - Epoch [130][1600/2353] lr: 1.115e-03, eta: 5:41:59, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1442, loss: 1.1442 +2025-06-01 13:36:51,219 - pyskl - INFO - Epoch [130][1700/2353] lr: 1.110e-03, eta: 5:41:16, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1365, loss: 1.1365 +2025-06-01 13:37:34,059 - pyskl - INFO - Epoch [130][1800/2353] lr: 1.106e-03, eta: 5:40:33, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1207, loss: 1.1207 +2025-06-01 13:38:17,022 - pyskl - INFO - Epoch [130][1900/2353] lr: 1.101e-03, eta: 5:39:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0933, loss: 1.0933 +2025-06-01 13:38:59,948 - pyskl - INFO - Epoch [130][2000/2353] lr: 1.097e-03, eta: 5:39:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1096, loss: 1.1096 +2025-06-01 13:39:42,859 - pyskl - INFO - Epoch [130][2100/2353] lr: 1.092e-03, eta: 5:38:24, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1180, loss: 1.1180 +2025-06-01 13:40:25,797 - pyskl - INFO - Epoch [130][2200/2353] lr: 1.088e-03, eta: 5:37:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1478, loss: 1.1478 +2025-06-01 13:41:08,641 - pyskl - INFO - Epoch [130][2300/2353] lr: 1.083e-03, eta: 5:36:58, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.0736, loss: 1.0736 +2025-06-01 13:41:31,882 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-06-01 13:50:29,492 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 13:50:29,567 - pyskl - INFO - +top1_acc 0.9573 +top5_acc 0.9950 +2025-06-01 13:50:29,570 - pyskl - INFO - Epoch(val) [130][1184] top1_acc: 0.9573, top5_acc: 0.9950 +2025-06-01 13:51:32,995 - pyskl - INFO - Epoch [131][100/2353] lr: 1.076e-03, eta: 5:35:52, time: 0.634, data_time: 0.205, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0782, loss: 1.0782 +2025-06-01 13:52:15,904 - pyskl - INFO - Epoch [131][200/2353] lr: 1.072e-03, eta: 5:35:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1189, loss: 1.1189 +2025-06-01 13:52:58,816 - pyskl - INFO - Epoch [131][300/2353] lr: 1.067e-03, eta: 5:34:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1587, loss: 1.1587 +2025-06-01 13:53:41,689 - pyskl - INFO - Epoch [131][400/2353] lr: 1.063e-03, eta: 5:33:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1074, loss: 1.1074 +2025-06-01 13:54:24,552 - pyskl - INFO - Epoch [131][500/2353] lr: 1.058e-03, eta: 5:33:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1085, loss: 1.1085 +2025-06-01 13:55:07,714 - pyskl - INFO - Epoch [131][600/2353] lr: 1.054e-03, eta: 5:32:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1338, loss: 1.1338 +2025-06-01 13:55:50,977 - pyskl - INFO - Epoch [131][700/2353] lr: 1.049e-03, eta: 5:31:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1212, loss: 1.1212 +2025-06-01 13:56:34,141 - pyskl - INFO - Epoch [131][800/2353] lr: 1.045e-03, eta: 5:30:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1283, loss: 1.1283 +2025-06-01 13:57:17,150 - pyskl - INFO - Epoch [131][900/2353] lr: 1.040e-03, eta: 5:30:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0800, loss: 1.0800 +2025-06-01 13:58:00,170 - pyskl - INFO - Epoch [131][1000/2353] lr: 1.036e-03, eta: 5:29:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1113, loss: 1.1113 +2025-06-01 13:58:43,313 - pyskl - INFO - Epoch [131][1100/2353] lr: 1.031e-03, eta: 5:28:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1164, loss: 1.1164 +2025-06-01 13:59:26,277 - pyskl - INFO - Epoch [131][1200/2353] lr: 1.027e-03, eta: 5:28:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1311, loss: 1.1311 +2025-06-01 14:00:09,272 - pyskl - INFO - Epoch [131][1300/2353] lr: 1.023e-03, eta: 5:27:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1032, loss: 1.1032 +2025-06-01 14:00:52,246 - pyskl - INFO - Epoch [131][1400/2353] lr: 1.018e-03, eta: 5:26:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0881, loss: 1.0881 +2025-06-01 14:01:35,244 - pyskl - INFO - Epoch [131][1500/2353] lr: 1.014e-03, eta: 5:25:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1372, loss: 1.1372 +2025-06-01 14:02:18,285 - pyskl - INFO - Epoch [131][1600/2353] lr: 1.009e-03, eta: 5:25:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1398, loss: 1.1398 +2025-06-01 14:03:01,278 - pyskl - INFO - Epoch [131][1700/2353] lr: 1.005e-03, eta: 5:24:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1355, loss: 1.1355 +2025-06-01 14:03:44,445 - pyskl - INFO - Epoch [131][1800/2353] lr: 1.001e-03, eta: 5:23:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1021, loss: 1.1021 +2025-06-01 14:04:27,527 - pyskl - INFO - Epoch [131][1900/2353] lr: 9.964e-04, eta: 5:23:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 1.1037, loss: 1.1037 +2025-06-01 14:05:10,520 - pyskl - INFO - Epoch [131][2000/2353] lr: 9.920e-04, eta: 5:22:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0981, loss: 1.0981 +2025-06-01 14:05:53,551 - pyskl - INFO - Epoch [131][2100/2353] lr: 9.877e-04, eta: 5:21:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1347, loss: 1.1347 +2025-06-01 14:06:36,559 - pyskl - INFO - Epoch [131][2200/2353] lr: 9.834e-04, eta: 5:20:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1211, loss: 1.1211 +2025-06-01 14:07:19,557 - pyskl - INFO - Epoch [131][2300/2353] lr: 9.790e-04, eta: 5:20:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0970, loss: 1.0970 +2025-06-01 14:07:42,851 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-06-01 14:09:08,550 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 14:09:08,624 - pyskl - INFO - +top1_acc 0.9629 +top5_acc 0.9953 +2025-06-01 14:09:08,679 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_125.pth was removed +2025-06-01 14:09:09,692 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2025-06-01 14:09:09,693 - pyskl - INFO - Best top1_acc is 0.9629 at 131 epoch. +2025-06-01 14:09:09,696 - pyskl - INFO - Epoch(val) [131][1184] top1_acc: 0.9629, top5_acc: 0.9953 +2025-06-01 14:10:13,205 - pyskl - INFO - Epoch [132][100/2353] lr: 9.724e-04, eta: 5:19:03, time: 0.635, data_time: 0.208, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1102, loss: 1.1102 +2025-06-01 14:10:56,110 - pyskl - INFO - Epoch [132][200/2353] lr: 9.681e-04, eta: 5:18:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0971, loss: 1.0971 +2025-06-01 14:11:39,217 - pyskl - INFO - Epoch [132][300/2353] lr: 9.639e-04, eta: 5:17:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0798, loss: 1.0798 +2025-06-01 14:12:22,200 - pyskl - INFO - Epoch [132][400/2353] lr: 9.596e-04, eta: 5:16:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1187, loss: 1.1187 +2025-06-01 14:13:05,355 - pyskl - INFO - Epoch [132][500/2353] lr: 9.553e-04, eta: 5:16:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0838, loss: 1.0838 +2025-06-01 14:13:48,701 - pyskl - INFO - Epoch [132][600/2353] lr: 9.510e-04, eta: 5:15:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0958, loss: 1.0958 +2025-06-01 14:14:31,693 - pyskl - INFO - Epoch [132][700/2353] lr: 9.468e-04, eta: 5:14:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1745, loss: 1.1745 +2025-06-01 14:15:14,732 - pyskl - INFO - Epoch [132][800/2353] lr: 9.426e-04, eta: 5:14:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1102, loss: 1.1102 +2025-06-01 14:15:58,078 - pyskl - INFO - Epoch [132][900/2353] lr: 9.383e-04, eta: 5:13:20, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1121, loss: 1.1121 +2025-06-01 14:16:41,168 - pyskl - INFO - Epoch [132][1000/2353] lr: 9.341e-04, eta: 5:12:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0858, loss: 1.0858 +2025-06-01 14:17:24,109 - pyskl - INFO - Epoch [132][1100/2353] lr: 9.299e-04, eta: 5:11:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1105, loss: 1.1105 +2025-06-01 14:18:07,054 - pyskl - INFO - Epoch [132][1200/2353] lr: 9.257e-04, eta: 5:11:11, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0947, loss: 1.0947 +2025-06-01 14:18:49,985 - pyskl - INFO - Epoch [132][1300/2353] lr: 9.215e-04, eta: 5:10:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0950, loss: 1.0950 +2025-06-01 14:19:32,982 - pyskl - INFO - Epoch [132][1400/2353] lr: 9.173e-04, eta: 5:09:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0635, loss: 1.0635 +2025-06-01 14:20:16,169 - pyskl - INFO - Epoch [132][1500/2353] lr: 9.131e-04, eta: 5:09:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1322, loss: 1.1322 +2025-06-01 14:20:59,073 - pyskl - INFO - Epoch [132][1600/2353] lr: 9.089e-04, eta: 5:08:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0877, loss: 1.0877 +2025-06-01 14:21:42,068 - pyskl - INFO - Epoch [132][1700/2353] lr: 9.048e-04, eta: 5:07:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1423, loss: 1.1423 +2025-06-01 14:22:25,011 - pyskl - INFO - Epoch [132][1800/2353] lr: 9.006e-04, eta: 5:06:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0450, loss: 1.0450 +2025-06-01 14:23:08,005 - pyskl - INFO - Epoch [132][1900/2353] lr: 8.965e-04, eta: 5:06:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0872, loss: 1.0872 +2025-06-01 14:23:50,933 - pyskl - INFO - Epoch [132][2000/2353] lr: 8.924e-04, eta: 5:05:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0921, loss: 1.0921 +2025-06-01 14:24:33,926 - pyskl - INFO - Epoch [132][2100/2353] lr: 8.882e-04, eta: 5:04:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1370, loss: 1.1370 +2025-06-01 14:25:16,780 - pyskl - INFO - Epoch [132][2200/2353] lr: 8.841e-04, eta: 5:04:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1765, loss: 1.1765 +2025-06-01 14:25:59,733 - pyskl - INFO - Epoch [132][2300/2353] lr: 8.800e-04, eta: 5:03:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1053, loss: 1.1053 +2025-06-01 14:26:22,998 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-06-01 14:27:48,384 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 14:27:48,458 - pyskl - INFO - +top1_acc 0.9477 +top5_acc 0.9956 +2025-06-01 14:27:48,462 - pyskl - INFO - Epoch(val) [132][1184] top1_acc: 0.9477, top5_acc: 0.9956 +2025-06-01 14:28:52,130 - pyskl - INFO - Epoch [133][100/2353] lr: 8.737e-04, eta: 5:02:13, time: 0.637, data_time: 0.207, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1126, loss: 1.1126 +2025-06-01 14:29:35,208 - pyskl - INFO - Epoch [133][200/2353] lr: 8.697e-04, eta: 5:01:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0911, loss: 1.0911 +2025-06-01 14:30:18,292 - pyskl - INFO - Epoch [133][300/2353] lr: 8.656e-04, eta: 5:00:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0973, loss: 1.0973 +2025-06-01 14:31:01,160 - pyskl - INFO - Epoch [133][400/2353] lr: 8.615e-04, eta: 5:00:04, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0990, loss: 1.0990 +2025-06-01 14:31:44,158 - pyskl - INFO - Epoch [133][500/2353] lr: 8.575e-04, eta: 4:59:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0680, loss: 1.0680 +2025-06-01 14:32:27,122 - pyskl - INFO - Epoch [133][600/2353] lr: 8.534e-04, eta: 4:58:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0509, loss: 1.0509 +2025-06-01 14:33:10,180 - pyskl - INFO - Epoch [133][700/2353] lr: 8.494e-04, eta: 4:57:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0646, loss: 1.0646 +2025-06-01 14:33:53,306 - pyskl - INFO - Epoch [133][800/2353] lr: 8.454e-04, eta: 4:57:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0784, loss: 1.0784 +2025-06-01 14:34:36,286 - pyskl - INFO - Epoch [133][900/2353] lr: 8.413e-04, eta: 4:56:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0702, loss: 1.0702 +2025-06-01 14:35:19,198 - pyskl - INFO - Epoch [133][1000/2353] lr: 8.373e-04, eta: 4:55:47, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0700, loss: 1.0700 +2025-06-01 14:36:02,025 - pyskl - INFO - Epoch [133][1100/2353] lr: 8.333e-04, eta: 4:55:04, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0584, loss: 1.0584 +2025-06-01 14:36:44,969 - pyskl - INFO - Epoch [133][1200/2353] lr: 8.293e-04, eta: 4:54:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0929, loss: 1.0929 +2025-06-01 14:37:27,923 - pyskl - INFO - Epoch [133][1300/2353] lr: 8.254e-04, eta: 4:53:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0711, loss: 1.0711 +2025-06-01 14:38:10,867 - pyskl - INFO - Epoch [133][1400/2353] lr: 8.214e-04, eta: 4:52:55, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0833, loss: 1.0833 +2025-06-01 14:38:53,825 - pyskl - INFO - Epoch [133][1500/2353] lr: 8.174e-04, eta: 4:52:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0919, loss: 1.0919 +2025-06-01 14:39:36,749 - pyskl - INFO - Epoch [133][1600/2353] lr: 8.135e-04, eta: 4:51:29, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0669, loss: 1.0669 +2025-06-01 14:40:19,629 - pyskl - INFO - Epoch [133][1700/2353] lr: 8.095e-04, eta: 4:50:46, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0464, loss: 1.0464 +2025-06-01 14:41:02,493 - pyskl - INFO - Epoch [133][1800/2353] lr: 8.056e-04, eta: 4:50:03, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0614, loss: 1.0614 +2025-06-01 14:41:45,398 - pyskl - INFO - Epoch [133][1900/2353] lr: 8.017e-04, eta: 4:49:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0646, loss: 1.0646 +2025-06-01 14:42:28,420 - pyskl - INFO - Epoch [133][2000/2353] lr: 7.978e-04, eta: 4:48:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0853, loss: 1.0853 +2025-06-01 14:43:11,317 - pyskl - INFO - Epoch [133][2100/2353] lr: 7.939e-04, eta: 4:47:55, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0893, loss: 1.0893 +2025-06-01 14:43:54,197 - pyskl - INFO - Epoch [133][2200/2353] lr: 7.900e-04, eta: 4:47:12, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1217, loss: 1.1217 +2025-06-01 14:44:37,177 - pyskl - INFO - Epoch [133][2300/2353] lr: 7.861e-04, eta: 4:46:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1265, loss: 1.1265 +2025-06-01 14:45:00,405 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-06-01 14:46:25,721 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 14:46:25,795 - pyskl - INFO - +top1_acc 0.9487 +top5_acc 0.9954 +2025-06-01 14:46:25,798 - pyskl - INFO - Epoch(val) [133][1184] top1_acc: 0.9487, top5_acc: 0.9954 +2025-06-01 14:47:29,608 - pyskl - INFO - Epoch [134][100/2353] lr: 7.801e-04, eta: 4:45:23, time: 0.638, data_time: 0.210, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0564, loss: 1.0564 +2025-06-01 14:48:12,557 - pyskl - INFO - Epoch [134][200/2353] lr: 7.763e-04, eta: 4:44:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0661, loss: 1.0661 +2025-06-01 14:48:55,544 - pyskl - INFO - Epoch [134][300/2353] lr: 7.724e-04, eta: 4:43:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0936, loss: 1.0936 +2025-06-01 14:49:38,539 - pyskl - INFO - Epoch [134][400/2353] lr: 7.686e-04, eta: 4:43:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0899, loss: 1.0899 +2025-06-01 14:50:21,477 - pyskl - INFO - Epoch [134][500/2353] lr: 7.647e-04, eta: 4:42:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0414, loss: 1.0414 +2025-06-01 14:51:04,482 - pyskl - INFO - Epoch [134][600/2353] lr: 7.609e-04, eta: 4:41:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0488, loss: 1.0488 +2025-06-01 14:51:47,519 - pyskl - INFO - Epoch [134][700/2353] lr: 7.571e-04, eta: 4:41:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0998, loss: 1.0998 +2025-06-01 14:52:30,506 - pyskl - INFO - Epoch [134][800/2353] lr: 7.533e-04, eta: 4:40:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0661, loss: 1.0661 +2025-06-01 14:53:13,388 - pyskl - INFO - Epoch [134][900/2353] lr: 7.495e-04, eta: 4:39:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0572, loss: 1.0572 +2025-06-01 14:53:56,380 - pyskl - INFO - Epoch [134][1000/2353] lr: 7.457e-04, eta: 4:38:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0616, loss: 1.0616 +2025-06-01 14:54:39,380 - pyskl - INFO - Epoch [134][1100/2353] lr: 7.419e-04, eta: 4:38:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0366, loss: 1.0366 +2025-06-01 14:55:22,336 - pyskl - INFO - Epoch [134][1200/2353] lr: 7.381e-04, eta: 4:37:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0945, loss: 1.0945 +2025-06-01 14:56:05,297 - pyskl - INFO - Epoch [134][1300/2353] lr: 7.344e-04, eta: 4:36:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0817, loss: 1.0817 +2025-06-01 14:56:48,333 - pyskl - INFO - Epoch [134][1400/2353] lr: 7.306e-04, eta: 4:36:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0918, loss: 1.0918 +2025-06-01 14:57:31,389 - pyskl - INFO - Epoch [134][1500/2353] lr: 7.269e-04, eta: 4:35:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0997, loss: 1.0997 +2025-06-01 14:58:14,395 - pyskl - INFO - Epoch [134][1600/2353] lr: 7.232e-04, eta: 4:34:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1087, loss: 1.1087 +2025-06-01 14:58:57,299 - pyskl - INFO - Epoch [134][1700/2353] lr: 7.194e-04, eta: 4:33:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0448, loss: 1.0448 +2025-06-01 14:59:40,120 - pyskl - INFO - Epoch [134][1800/2353] lr: 7.157e-04, eta: 4:33:14, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0577, loss: 1.0577 +2025-06-01 15:00:23,187 - pyskl - INFO - Epoch [134][1900/2353] lr: 7.120e-04, eta: 4:32:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0626, loss: 1.0626 +2025-06-01 15:01:06,217 - pyskl - INFO - Epoch [134][2000/2353] lr: 7.083e-04, eta: 4:31:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0393, loss: 1.0393 +2025-06-01 15:01:49,226 - pyskl - INFO - Epoch [134][2100/2353] lr: 7.046e-04, eta: 4:31:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0687, loss: 1.0687 +2025-06-01 15:02:32,298 - pyskl - INFO - Epoch [134][2200/2353] lr: 7.009e-04, eta: 4:30:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0486, loss: 1.0486 +2025-06-01 15:03:15,280 - pyskl - INFO - Epoch [134][2300/2353] lr: 6.973e-04, eta: 4:29:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0513, loss: 1.0513 +2025-06-01 15:03:38,547 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-06-01 15:05:03,995 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 15:05:04,070 - pyskl - INFO - +top1_acc 0.9437 +top5_acc 0.9953 +2025-06-01 15:05:04,073 - pyskl - INFO - Epoch(val) [134][1184] top1_acc: 0.9437, top5_acc: 0.9953 +2025-06-01 15:06:07,498 - pyskl - INFO - Epoch [135][100/2353] lr: 6.917e-04, eta: 4:28:33, time: 0.634, data_time: 0.207, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1046, loss: 1.1046 +2025-06-01 15:06:50,452 - pyskl - INFO - Epoch [135][200/2353] lr: 6.880e-04, eta: 4:27:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0474, loss: 1.0474 +2025-06-01 15:07:33,391 - pyskl - INFO - Epoch [135][300/2353] lr: 6.844e-04, eta: 4:27:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0277, loss: 1.0277 +2025-06-01 15:08:16,370 - pyskl - INFO - Epoch [135][400/2353] lr: 6.808e-04, eta: 4:26:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0533, loss: 1.0533 +2025-06-01 15:08:59,455 - pyskl - INFO - Epoch [135][500/2353] lr: 6.772e-04, eta: 4:25:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0758, loss: 1.0758 +2025-06-01 15:09:42,383 - pyskl - INFO - Epoch [135][600/2353] lr: 6.735e-04, eta: 4:24:59, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0759, loss: 1.0759 +2025-06-01 15:10:25,407 - pyskl - INFO - Epoch [135][700/2353] lr: 6.699e-04, eta: 4:24:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0417, loss: 1.0417 +2025-06-01 15:11:08,392 - pyskl - INFO - Epoch [135][800/2353] lr: 6.664e-04, eta: 4:23:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0988, loss: 1.0988 +2025-06-01 15:11:51,520 - pyskl - INFO - Epoch [135][900/2353] lr: 6.628e-04, eta: 4:22:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0593, loss: 1.0593 +2025-06-01 15:12:34,616 - pyskl - INFO - Epoch [135][1000/2353] lr: 6.592e-04, eta: 4:22:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0830, loss: 1.0830 +2025-06-01 15:13:17,600 - pyskl - INFO - Epoch [135][1100/2353] lr: 6.556e-04, eta: 4:21:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1005, loss: 1.1005 +2025-06-01 15:14:00,599 - pyskl - INFO - Epoch [135][1200/2353] lr: 6.521e-04, eta: 4:20:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.0894, loss: 1.0894 +2025-06-01 15:14:43,548 - pyskl - INFO - Epoch [135][1300/2353] lr: 6.486e-04, eta: 4:19:58, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0876, loss: 1.0876 +2025-06-01 15:15:26,468 - pyskl - INFO - Epoch [135][1400/2353] lr: 6.450e-04, eta: 4:19:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.0970, loss: 1.0970 +2025-06-01 15:16:09,405 - pyskl - INFO - Epoch [135][1500/2353] lr: 6.415e-04, eta: 4:18:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0918, loss: 1.0918 +2025-06-01 15:16:52,390 - pyskl - INFO - Epoch [135][1600/2353] lr: 6.380e-04, eta: 4:17:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0495, loss: 1.0495 +2025-06-01 15:17:35,249 - pyskl - INFO - Epoch [135][1700/2353] lr: 6.345e-04, eta: 4:17:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0358, loss: 1.0358 +2025-06-01 15:18:18,106 - pyskl - INFO - Epoch [135][1800/2353] lr: 6.310e-04, eta: 4:16:24, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0531, loss: 1.0531 +2025-06-01 15:19:01,142 - pyskl - INFO - Epoch [135][1900/2353] lr: 6.275e-04, eta: 4:15:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0852, loss: 1.0852 +2025-06-01 15:19:44,251 - pyskl - INFO - Epoch [135][2000/2353] lr: 6.240e-04, eta: 4:14:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0431, loss: 1.0431 +2025-06-01 15:20:27,233 - pyskl - INFO - Epoch [135][2100/2353] lr: 6.206e-04, eta: 4:14:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0562, loss: 1.0562 +2025-06-01 15:21:10,277 - pyskl - INFO - Epoch [135][2200/2353] lr: 6.171e-04, eta: 4:13:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0480, loss: 1.0480 +2025-06-01 15:21:53,174 - pyskl - INFO - Epoch [135][2300/2353] lr: 6.137e-04, eta: 4:12:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0813, loss: 1.0813 +2025-06-01 15:22:16,548 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-06-01 15:31:34,496 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 15:31:34,572 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9954 +2025-06-01 15:31:34,575 - pyskl - INFO - Epoch(val) [135][1184] top1_acc: 0.9615, top5_acc: 0.9954 +2025-06-01 15:32:37,757 - pyskl - INFO - Epoch [136][100/2353] lr: 6.084e-04, eta: 4:11:43, time: 0.632, data_time: 0.205, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0550, loss: 1.0550 +2025-06-01 15:33:20,524 - pyskl - INFO - Epoch [136][200/2353] lr: 6.050e-04, eta: 4:11:00, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0513, loss: 1.0513 +2025-06-01 15:34:03,273 - pyskl - INFO - Epoch [136][300/2353] lr: 6.016e-04, eta: 4:10:17, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0849, loss: 1.0849 +2025-06-01 15:34:46,042 - pyskl - INFO - Epoch [136][400/2353] lr: 5.982e-04, eta: 4:09:34, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0448, loss: 1.0448 +2025-06-01 15:35:28,829 - pyskl - INFO - Epoch [136][500/2353] lr: 5.948e-04, eta: 4:08:51, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0460, loss: 1.0460 +2025-06-01 15:36:11,613 - pyskl - INFO - Epoch [136][600/2353] lr: 5.914e-04, eta: 4:08:09, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0432, loss: 1.0432 +2025-06-01 15:36:54,412 - pyskl - INFO - Epoch [136][700/2353] lr: 5.880e-04, eta: 4:07:26, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0446, loss: 1.0446 +2025-06-01 15:37:37,329 - pyskl - INFO - Epoch [136][800/2353] lr: 5.846e-04, eta: 4:06:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0620, loss: 1.0620 +2025-06-01 15:38:20,216 - pyskl - INFO - Epoch [136][900/2353] lr: 5.813e-04, eta: 4:06:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0439, loss: 1.0439 +2025-06-01 15:39:03,165 - pyskl - INFO - Epoch [136][1000/2353] lr: 5.779e-04, eta: 4:05:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0641, loss: 1.0641 +2025-06-01 15:39:46,217 - pyskl - INFO - Epoch [136][1100/2353] lr: 5.746e-04, eta: 4:04:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0563, loss: 1.0563 +2025-06-01 15:40:29,203 - pyskl - INFO - Epoch [136][1200/2353] lr: 5.712e-04, eta: 4:03:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0470, loss: 1.0470 +2025-06-01 15:41:12,169 - pyskl - INFO - Epoch [136][1300/2353] lr: 5.679e-04, eta: 4:03:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0330, loss: 1.0330 +2025-06-01 15:41:55,131 - pyskl - INFO - Epoch [136][1400/2353] lr: 5.646e-04, eta: 4:02:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0842, loss: 1.0842 +2025-06-01 15:42:38,068 - pyskl - INFO - Epoch [136][1500/2353] lr: 5.613e-04, eta: 4:01:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0982, loss: 1.0982 +2025-06-01 15:43:21,073 - pyskl - INFO - Epoch [136][1600/2353] lr: 5.580e-04, eta: 4:00:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0735, loss: 1.0735 +2025-06-01 15:44:03,979 - pyskl - INFO - Epoch [136][1700/2353] lr: 5.547e-04, eta: 4:00:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0633, loss: 1.0633 +2025-06-01 15:44:46,887 - pyskl - INFO - Epoch [136][1800/2353] lr: 5.515e-04, eta: 3:59:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0938, loss: 1.0938 +2025-06-01 15:45:29,871 - pyskl - INFO - Epoch [136][1900/2353] lr: 5.482e-04, eta: 3:58:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0743, loss: 1.0743 +2025-06-01 15:46:12,809 - pyskl - INFO - Epoch [136][2000/2353] lr: 5.449e-04, eta: 3:58:08, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0373, loss: 1.0373 +2025-06-01 15:46:55,842 - pyskl - INFO - Epoch [136][2100/2353] lr: 5.417e-04, eta: 3:57:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0463, loss: 1.0463 +2025-06-01 15:47:38,812 - pyskl - INFO - Epoch [136][2200/2353] lr: 5.385e-04, eta: 3:56:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0824, loss: 1.0824 +2025-06-01 15:48:21,715 - pyskl - INFO - Epoch [136][2300/2353] lr: 5.352e-04, eta: 3:55:59, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0505, loss: 1.0505 +2025-06-01 15:48:45,008 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-06-01 15:50:10,610 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 15:50:10,685 - pyskl - INFO - +top1_acc 0.9584 +top5_acc 0.9954 +2025-06-01 15:50:10,688 - pyskl - INFO - Epoch(val) [136][1184] top1_acc: 0.9584, top5_acc: 0.9954 +2025-06-01 15:51:14,605 - pyskl - INFO - Epoch [137][100/2353] lr: 5.303e-04, eta: 3:54:53, time: 0.639, data_time: 0.208, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0536, loss: 1.0536 +2025-06-01 15:51:57,574 - pyskl - INFO - Epoch [137][200/2353] lr: 5.271e-04, eta: 3:54:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0652, loss: 1.0652 +2025-06-01 15:52:40,512 - pyskl - INFO - Epoch [137][300/2353] lr: 5.239e-04, eta: 3:53:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0389, loss: 1.0389 +2025-06-01 15:53:23,573 - pyskl - INFO - Epoch [137][400/2353] lr: 5.208e-04, eta: 3:52:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0313, loss: 1.0313 +2025-06-01 15:54:06,596 - pyskl - INFO - Epoch [137][500/2353] lr: 5.176e-04, eta: 3:52:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0582, loss: 1.0582 +2025-06-01 15:54:49,558 - pyskl - INFO - Epoch [137][600/2353] lr: 5.144e-04, eta: 3:51:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0406, loss: 1.0406 +2025-06-01 15:55:32,559 - pyskl - INFO - Epoch [137][700/2353] lr: 5.113e-04, eta: 3:50:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0354, loss: 1.0354 +2025-06-01 15:56:15,477 - pyskl - INFO - Epoch [137][800/2353] lr: 5.081e-04, eta: 3:49:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0714, loss: 1.0714 +2025-06-01 15:56:58,499 - pyskl - INFO - Epoch [137][900/2353] lr: 5.050e-04, eta: 3:49:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0529, loss: 1.0529 +2025-06-01 15:57:41,424 - pyskl - INFO - Epoch [137][1000/2353] lr: 5.019e-04, eta: 3:48:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0536, loss: 1.0536 +2025-06-01 15:58:24,282 - pyskl - INFO - Epoch [137][1100/2353] lr: 4.987e-04, eta: 3:47:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0456, loss: 1.0456 +2025-06-01 15:59:07,217 - pyskl - INFO - Epoch [137][1200/2353] lr: 4.956e-04, eta: 3:47:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0500, loss: 1.0500 +2025-06-01 15:59:50,148 - pyskl - INFO - Epoch [137][1300/2353] lr: 4.925e-04, eta: 3:46:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0319, loss: 1.0319 +2025-06-01 16:00:33,037 - pyskl - INFO - Epoch [137][1400/2353] lr: 4.894e-04, eta: 3:45:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0851, loss: 1.0851 +2025-06-01 16:01:15,714 - pyskl - INFO - Epoch [137][1500/2353] lr: 4.864e-04, eta: 3:44:52, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0448, loss: 1.0448 +2025-06-01 16:01:58,663 - pyskl - INFO - Epoch [137][1600/2353] lr: 4.833e-04, eta: 3:44:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0651, loss: 1.0651 +2025-06-01 16:02:41,624 - pyskl - INFO - Epoch [137][1700/2353] lr: 4.802e-04, eta: 3:43:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0568, loss: 1.0568 +2025-06-01 16:03:24,620 - pyskl - INFO - Epoch [137][1800/2353] lr: 4.772e-04, eta: 3:42:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0991, loss: 1.0991 +2025-06-01 16:04:07,556 - pyskl - INFO - Epoch [137][1900/2353] lr: 4.742e-04, eta: 3:42:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0679, loss: 1.0679 +2025-06-01 16:04:50,387 - pyskl - INFO - Epoch [137][2000/2353] lr: 4.711e-04, eta: 3:41:18, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0788, loss: 1.0788 +2025-06-01 16:05:33,370 - pyskl - INFO - Epoch [137][2100/2353] lr: 4.681e-04, eta: 3:40:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0677, loss: 1.0677 +2025-06-01 16:06:16,260 - pyskl - INFO - Epoch [137][2200/2353] lr: 4.651e-04, eta: 3:39:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0308, loss: 1.0308 +2025-06-01 16:06:59,125 - pyskl - INFO - Epoch [137][2300/2353] lr: 4.621e-04, eta: 3:39:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0631, loss: 1.0631 +2025-06-01 16:07:22,405 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-06-01 16:08:47,922 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 16:08:47,995 - pyskl - INFO - +top1_acc 0.9520 +top5_acc 0.9954 +2025-06-01 16:08:47,998 - pyskl - INFO - Epoch(val) [137][1184] top1_acc: 0.9520, top5_acc: 0.9954 +2025-06-01 16:09:51,574 - pyskl - INFO - Epoch [138][100/2353] lr: 4.575e-04, eta: 3:38:03, time: 0.636, data_time: 0.207, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0418, loss: 1.0418 +2025-06-01 16:10:34,551 - pyskl - INFO - Epoch [138][200/2353] lr: 4.545e-04, eta: 3:37:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0364, loss: 1.0364 +2025-06-01 16:11:17,650 - pyskl - INFO - Epoch [138][300/2353] lr: 4.516e-04, eta: 3:36:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0523, loss: 1.0523 +2025-06-01 16:12:00,901 - pyskl - INFO - Epoch [138][400/2353] lr: 4.486e-04, eta: 3:35:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0315, loss: 1.0315 +2025-06-01 16:12:44,074 - pyskl - INFO - Epoch [138][500/2353] lr: 4.457e-04, eta: 3:35:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0675, loss: 1.0675 +2025-06-01 16:13:27,127 - pyskl - INFO - Epoch [138][600/2353] lr: 4.427e-04, eta: 3:34:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0499, loss: 1.0499 +2025-06-01 16:14:10,158 - pyskl - INFO - Epoch [138][700/2353] lr: 4.398e-04, eta: 3:33:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0875, loss: 1.0875 +2025-06-01 16:14:53,200 - pyskl - INFO - Epoch [138][800/2353] lr: 4.369e-04, eta: 3:33:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0863, loss: 1.0863 +2025-06-01 16:15:36,234 - pyskl - INFO - Epoch [138][900/2353] lr: 4.340e-04, eta: 3:32:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0594, loss: 1.0594 +2025-06-01 16:16:19,280 - pyskl - INFO - Epoch [138][1000/2353] lr: 4.311e-04, eta: 3:31:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0430, loss: 1.0430 +2025-06-01 16:17:02,340 - pyskl - INFO - Epoch [138][1100/2353] lr: 4.282e-04, eta: 3:30:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0600, loss: 1.0600 +2025-06-01 16:17:45,484 - pyskl - INFO - Epoch [138][1200/2353] lr: 4.253e-04, eta: 3:30:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0315, loss: 1.0315 +2025-06-01 16:18:28,658 - pyskl - INFO - Epoch [138][1300/2353] lr: 4.224e-04, eta: 3:29:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0222, loss: 1.0222 +2025-06-01 16:19:11,711 - pyskl - INFO - Epoch [138][1400/2353] lr: 4.195e-04, eta: 3:28:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0476, loss: 1.0476 +2025-06-01 16:19:54,841 - pyskl - INFO - Epoch [138][1500/2353] lr: 4.167e-04, eta: 3:28:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0537, loss: 1.0537 +2025-06-01 16:20:37,941 - pyskl - INFO - Epoch [138][1600/2353] lr: 4.138e-04, eta: 3:27:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0527, loss: 1.0527 +2025-06-01 16:21:21,049 - pyskl - INFO - Epoch [138][1700/2353] lr: 4.110e-04, eta: 3:26:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0538, loss: 1.0538 +2025-06-01 16:22:04,104 - pyskl - INFO - Epoch [138][1800/2353] lr: 4.082e-04, eta: 3:25:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0558, loss: 1.0558 +2025-06-01 16:22:47,214 - pyskl - INFO - Epoch [138][1900/2353] lr: 4.054e-04, eta: 3:25:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0419, loss: 1.0419 +2025-06-01 16:23:30,461 - pyskl - INFO - Epoch [138][2000/2353] lr: 4.026e-04, eta: 3:24:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0270, loss: 1.0270 +2025-06-01 16:24:13,898 - pyskl - INFO - Epoch [138][2100/2353] lr: 3.998e-04, eta: 3:23:45, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0442, loss: 1.0442 +2025-06-01 16:24:57,138 - pyskl - INFO - Epoch [138][2200/2353] lr: 3.970e-04, eta: 3:23:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0654, loss: 1.0654 +2025-06-01 16:25:40,387 - pyskl - INFO - Epoch [138][2300/2353] lr: 3.942e-04, eta: 3:22:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0839, loss: 1.0839 +2025-06-01 16:26:03,791 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-06-01 16:27:29,478 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 16:27:29,553 - pyskl - INFO - +top1_acc 0.9626 +top5_acc 0.9956 +2025-06-01 16:27:29,556 - pyskl - INFO - Epoch(val) [138][1184] top1_acc: 0.9626, top5_acc: 0.9956 +2025-06-01 16:28:33,239 - pyskl - INFO - Epoch [139][100/2353] lr: 3.900e-04, eta: 3:21:14, time: 0.637, data_time: 0.207, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0582, loss: 1.0582 +2025-06-01 16:29:16,219 - pyskl - INFO - Epoch [139][200/2353] lr: 3.872e-04, eta: 3:20:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0400, loss: 1.0400 +2025-06-01 16:29:59,253 - pyskl - INFO - Epoch [139][300/2353] lr: 3.845e-04, eta: 3:19:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0480, loss: 1.0480 +2025-06-01 16:30:42,400 - pyskl - INFO - Epoch [139][400/2353] lr: 3.817e-04, eta: 3:19:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0506, loss: 1.0506 +2025-06-01 16:31:25,450 - pyskl - INFO - Epoch [139][500/2353] lr: 3.790e-04, eta: 3:18:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0412, loss: 1.0412 +2025-06-01 16:32:08,367 - pyskl - INFO - Epoch [139][600/2353] lr: 3.763e-04, eta: 3:17:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0383, loss: 1.0383 +2025-06-01 16:32:51,382 - pyskl - INFO - Epoch [139][700/2353] lr: 3.736e-04, eta: 3:16:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0597, loss: 1.0597 +2025-06-01 16:33:34,366 - pyskl - INFO - Epoch [139][800/2353] lr: 3.709e-04, eta: 3:16:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0471, loss: 1.0471 +2025-06-01 16:34:17,391 - pyskl - INFO - Epoch [139][900/2353] lr: 3.682e-04, eta: 3:15:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0784, loss: 1.0784 +2025-06-01 16:35:00,485 - pyskl - INFO - Epoch [139][1000/2353] lr: 3.655e-04, eta: 3:14:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0490, loss: 1.0490 +2025-06-01 16:35:43,490 - pyskl - INFO - Epoch [139][1100/2353] lr: 3.629e-04, eta: 3:14:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0340, loss: 1.0340 +2025-06-01 16:36:26,525 - pyskl - INFO - Epoch [139][1200/2353] lr: 3.602e-04, eta: 3:13:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0235, loss: 1.0235 +2025-06-01 16:37:09,538 - pyskl - INFO - Epoch [139][1300/2353] lr: 3.576e-04, eta: 3:12:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0615, loss: 1.0615 +2025-06-01 16:37:52,629 - pyskl - INFO - Epoch [139][1400/2353] lr: 3.549e-04, eta: 3:11:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0759, loss: 1.0759 +2025-06-01 16:38:35,682 - pyskl - INFO - Epoch [139][1500/2353] lr: 3.523e-04, eta: 3:11:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0339, loss: 1.0339 +2025-06-01 16:39:18,802 - pyskl - INFO - Epoch [139][1600/2353] lr: 3.497e-04, eta: 3:10:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0592, loss: 1.0592 +2025-06-01 16:40:01,982 - pyskl - INFO - Epoch [139][1700/2353] lr: 3.471e-04, eta: 3:09:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0667, loss: 1.0667 +2025-06-01 16:40:45,241 - pyskl - INFO - Epoch [139][1800/2353] lr: 3.445e-04, eta: 3:09:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0743, loss: 1.0743 +2025-06-01 16:41:28,297 - pyskl - INFO - Epoch [139][1900/2353] lr: 3.419e-04, eta: 3:08:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0284, loss: 1.0284 +2025-06-01 16:42:11,337 - pyskl - INFO - Epoch [139][2000/2353] lr: 3.393e-04, eta: 3:07:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0456, loss: 1.0456 +2025-06-01 16:42:54,605 - pyskl - INFO - Epoch [139][2100/2353] lr: 3.367e-04, eta: 3:06:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0554, loss: 1.0554 +2025-06-01 16:43:37,778 - pyskl - INFO - Epoch [139][2200/2353] lr: 3.342e-04, eta: 3:06:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0572, loss: 1.0572 +2025-06-01 16:44:20,860 - pyskl - INFO - Epoch [139][2300/2353] lr: 3.316e-04, eta: 3:05:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0456, loss: 1.0456 +2025-06-01 16:44:44,165 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-06-01 16:46:09,681 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 16:46:09,755 - pyskl - INFO - +top1_acc 0.9646 +top5_acc 0.9955 +2025-06-01 16:46:09,810 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_131.pth was removed +2025-06-01 16:46:10,818 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2025-06-01 16:46:10,819 - pyskl - INFO - Best top1_acc is 0.9646 at 139 epoch. +2025-06-01 16:46:10,821 - pyskl - INFO - Epoch(val) [139][1184] top1_acc: 0.9646, top5_acc: 0.9955 +2025-06-01 16:47:14,658 - pyskl - INFO - Epoch [140][100/2353] lr: 3.278e-04, eta: 3:04:24, time: 0.638, data_time: 0.208, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0135, loss: 1.0135 +2025-06-01 16:47:57,711 - pyskl - INFO - Epoch [140][200/2353] lr: 3.252e-04, eta: 3:03:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0378, loss: 1.0378 +2025-06-01 16:48:40,754 - pyskl - INFO - Epoch [140][300/2353] lr: 3.227e-04, eta: 3:02:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0001, loss: 1.0001 +2025-06-01 16:49:23,903 - pyskl - INFO - Epoch [140][400/2353] lr: 3.202e-04, eta: 3:02:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0434, loss: 1.0434 +2025-06-01 16:50:07,017 - pyskl - INFO - Epoch [140][500/2353] lr: 3.177e-04, eta: 3:01:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0542, loss: 1.0542 +2025-06-01 16:50:50,078 - pyskl - INFO - Epoch [140][600/2353] lr: 3.152e-04, eta: 3:00:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0578, loss: 1.0578 +2025-06-01 16:51:33,062 - pyskl - INFO - Epoch [140][700/2353] lr: 3.127e-04, eta: 3:00:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9999, loss: 0.9999 +2025-06-01 16:52:16,131 - pyskl - INFO - Epoch [140][800/2353] lr: 3.103e-04, eta: 2:59:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0636, loss: 1.0636 +2025-06-01 16:52:59,011 - pyskl - INFO - Epoch [140][900/2353] lr: 3.078e-04, eta: 2:58:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0813, loss: 1.0813 +2025-06-01 16:53:42,039 - pyskl - INFO - Epoch [140][1000/2353] lr: 3.054e-04, eta: 2:57:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0516, loss: 1.0516 +2025-06-01 16:54:25,105 - pyskl - INFO - Epoch [140][1100/2353] lr: 3.029e-04, eta: 2:57:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0192, loss: 1.0192 +2025-06-01 16:55:08,187 - pyskl - INFO - Epoch [140][1200/2353] lr: 3.005e-04, eta: 2:56:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0110, loss: 1.0110 +2025-06-01 16:55:51,253 - pyskl - INFO - Epoch [140][1300/2353] lr: 2.981e-04, eta: 2:55:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0197, loss: 1.0197 +2025-06-01 16:56:34,386 - pyskl - INFO - Epoch [140][1400/2353] lr: 2.957e-04, eta: 2:55:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0252, loss: 1.0252 +2025-06-01 16:57:17,463 - pyskl - INFO - Epoch [140][1500/2353] lr: 2.933e-04, eta: 2:54:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0662, loss: 1.0662 +2025-06-01 16:58:00,530 - pyskl - INFO - Epoch [140][1600/2353] lr: 2.909e-04, eta: 2:53:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0326, loss: 1.0326 +2025-06-01 16:58:43,628 - pyskl - INFO - Epoch [140][1700/2353] lr: 2.885e-04, eta: 2:52:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0380, loss: 1.0380 +2025-06-01 16:59:26,558 - pyskl - INFO - Epoch [140][1800/2353] lr: 2.861e-04, eta: 2:52:15, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0536, loss: 1.0536 +2025-06-01 17:00:09,758 - pyskl - INFO - Epoch [140][1900/2353] lr: 2.838e-04, eta: 2:51:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0534, loss: 1.0534 +2025-06-01 17:00:52,849 - pyskl - INFO - Epoch [140][2000/2353] lr: 2.814e-04, eta: 2:50:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0362, loss: 1.0362 +2025-06-01 17:01:35,882 - pyskl - INFO - Epoch [140][2100/2353] lr: 2.791e-04, eta: 2:50:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0611, loss: 1.0611 +2025-06-01 17:02:18,902 - pyskl - INFO - Epoch [140][2200/2353] lr: 2.767e-04, eta: 2:49:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0653, loss: 1.0653 +2025-06-01 17:03:01,928 - pyskl - INFO - Epoch [140][2300/2353] lr: 2.744e-04, eta: 2:48:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0058, loss: 1.0058 +2025-06-01 17:03:25,274 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-06-01 17:12:45,608 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 17:12:45,683 - pyskl - INFO - +top1_acc 0.9506 +top5_acc 0.9939 +2025-06-01 17:12:45,686 - pyskl - INFO - Epoch(val) [140][1184] top1_acc: 0.9506, top5_acc: 0.9939 +2025-06-01 17:13:48,734 - pyskl - INFO - Epoch [141][100/2353] lr: 2.709e-04, eta: 2:47:34, time: 0.630, data_time: 0.205, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0282, loss: 1.0282 +2025-06-01 17:14:31,550 - pyskl - INFO - Epoch [141][200/2353] lr: 2.686e-04, eta: 2:46:52, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0191, loss: 1.0191 +2025-06-01 17:15:14,476 - pyskl - INFO - Epoch [141][300/2353] lr: 2.663e-04, eta: 2:46:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0060, loss: 1.0060 +2025-06-01 17:15:57,317 - pyskl - INFO - Epoch [141][400/2353] lr: 2.640e-04, eta: 2:45:26, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0240, loss: 1.0240 +2025-06-01 17:16:40,240 - pyskl - INFO - Epoch [141][500/2353] lr: 2.617e-04, eta: 2:44:43, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9892, loss: 0.9892 +2025-06-01 17:17:23,114 - pyskl - INFO - Epoch [141][600/2353] lr: 2.595e-04, eta: 2:44:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0051, loss: 1.0051 +2025-06-01 17:18:05,983 - pyskl - INFO - Epoch [141][700/2353] lr: 2.572e-04, eta: 2:43:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0345, loss: 1.0345 +2025-06-01 17:18:48,903 - pyskl - INFO - Epoch [141][800/2353] lr: 2.550e-04, eta: 2:42:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0087, loss: 1.0087 +2025-06-01 17:19:31,836 - pyskl - INFO - Epoch [141][900/2353] lr: 2.528e-04, eta: 2:41:51, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0372, loss: 1.0372 +2025-06-01 17:20:14,853 - pyskl - INFO - Epoch [141][1000/2353] lr: 2.505e-04, eta: 2:41:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0304, loss: 1.0304 +2025-06-01 17:20:57,816 - pyskl - INFO - Epoch [141][1100/2353] lr: 2.483e-04, eta: 2:40:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0295, loss: 1.0295 +2025-06-01 17:21:40,861 - pyskl - INFO - Epoch [141][1200/2353] lr: 2.461e-04, eta: 2:39:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0323, loss: 1.0323 +2025-06-01 17:22:23,856 - pyskl - INFO - Epoch [141][1300/2353] lr: 2.439e-04, eta: 2:38:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0091, loss: 1.0091 +2025-06-01 17:23:06,777 - pyskl - INFO - Epoch [141][1400/2353] lr: 2.417e-04, eta: 2:38:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0287, loss: 1.0287 +2025-06-01 17:23:49,676 - pyskl - INFO - Epoch [141][1500/2353] lr: 2.396e-04, eta: 2:37:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0562, loss: 1.0562 +2025-06-01 17:24:32,701 - pyskl - INFO - Epoch [141][1600/2353] lr: 2.374e-04, eta: 2:36:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0556, loss: 1.0556 +2025-06-01 17:25:15,745 - pyskl - INFO - Epoch [141][1700/2353] lr: 2.353e-04, eta: 2:36:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0381, loss: 1.0381 +2025-06-01 17:25:58,734 - pyskl - INFO - Epoch [141][1800/2353] lr: 2.331e-04, eta: 2:35:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0359, loss: 1.0359 +2025-06-01 17:26:41,723 - pyskl - INFO - Epoch [141][1900/2353] lr: 2.310e-04, eta: 2:34:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0609, loss: 1.0609 +2025-06-01 17:27:24,729 - pyskl - INFO - Epoch [141][2000/2353] lr: 2.289e-04, eta: 2:33:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0207, loss: 1.0207 +2025-06-01 17:28:07,748 - pyskl - INFO - Epoch [141][2100/2353] lr: 2.267e-04, eta: 2:33:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0179, loss: 1.0179 +2025-06-01 17:28:50,734 - pyskl - INFO - Epoch [141][2200/2353] lr: 2.246e-04, eta: 2:32:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0439, loss: 1.0439 +2025-06-01 17:29:33,614 - pyskl - INFO - Epoch [141][2300/2353] lr: 2.225e-04, eta: 2:31:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9994, loss: 0.9994 +2025-06-01 17:29:56,849 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-06-01 17:31:22,429 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 17:31:22,504 - pyskl - INFO - +top1_acc 0.9536 +top5_acc 0.9954 +2025-06-01 17:31:22,507 - pyskl - INFO - Epoch(val) [141][1184] top1_acc: 0.9536, top5_acc: 0.9954 +2025-06-01 17:32:25,913 - pyskl - INFO - Epoch [142][100/2353] lr: 2.194e-04, eta: 2:30:45, time: 0.634, data_time: 0.206, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0082, loss: 1.0082 +2025-06-01 17:33:08,764 - pyskl - INFO - Epoch [142][200/2353] lr: 2.173e-04, eta: 2:30:02, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0461, loss: 1.0461 +2025-06-01 17:33:51,626 - pyskl - INFO - Epoch [142][300/2353] lr: 2.152e-04, eta: 2:29:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0447, loss: 1.0447 +2025-06-01 17:34:34,720 - pyskl - INFO - Epoch [142][400/2353] lr: 2.132e-04, eta: 2:28:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0341, loss: 1.0341 +2025-06-01 17:35:17,753 - pyskl - INFO - Epoch [142][500/2353] lr: 2.111e-04, eta: 2:27:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0204, loss: 1.0204 +2025-06-01 17:36:00,736 - pyskl - INFO - Epoch [142][600/2353] lr: 2.091e-04, eta: 2:27:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0335, loss: 1.0335 +2025-06-01 17:36:43,675 - pyskl - INFO - Epoch [142][700/2353] lr: 2.071e-04, eta: 2:26:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0190, loss: 1.0190 +2025-06-01 17:37:26,752 - pyskl - INFO - Epoch [142][800/2353] lr: 2.051e-04, eta: 2:25:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0282, loss: 1.0282 +2025-06-01 17:38:09,821 - pyskl - INFO - Epoch [142][900/2353] lr: 2.031e-04, eta: 2:25:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0308, loss: 1.0308 +2025-06-01 17:38:52,884 - pyskl - INFO - Epoch [142][1000/2353] lr: 2.011e-04, eta: 2:24:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0557, loss: 1.0557 +2025-06-01 17:39:35,897 - pyskl - INFO - Epoch [142][1100/2353] lr: 1.991e-04, eta: 2:23:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0671, loss: 1.0671 +2025-06-01 17:40:18,948 - pyskl - INFO - Epoch [142][1200/2353] lr: 1.971e-04, eta: 2:22:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0296, loss: 1.0296 +2025-06-01 17:41:02,022 - pyskl - INFO - Epoch [142][1300/2353] lr: 1.951e-04, eta: 2:22:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0134, loss: 1.0134 +2025-06-01 17:41:44,986 - pyskl - INFO - Epoch [142][1400/2353] lr: 1.932e-04, eta: 2:21:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0063, loss: 1.0063 +2025-06-01 17:42:27,982 - pyskl - INFO - Epoch [142][1500/2353] lr: 1.913e-04, eta: 2:20:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0032, loss: 1.0032 +2025-06-01 17:43:11,009 - pyskl - INFO - Epoch [142][1600/2353] lr: 1.893e-04, eta: 2:20:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0367, loss: 1.0367 +2025-06-01 17:43:54,025 - pyskl - INFO - Epoch [142][1700/2353] lr: 1.874e-04, eta: 2:19:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0012, loss: 1.0012 +2025-06-01 17:44:36,958 - pyskl - INFO - Epoch [142][1800/2353] lr: 1.855e-04, eta: 2:18:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0276, loss: 1.0276 +2025-06-01 17:45:19,976 - pyskl - INFO - Epoch [142][1900/2353] lr: 1.836e-04, eta: 2:17:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0180, loss: 1.0180 +2025-06-01 17:46:03,054 - pyskl - INFO - Epoch [142][2000/2353] lr: 1.817e-04, eta: 2:17:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0443, loss: 1.0443 +2025-06-01 17:46:46,093 - pyskl - INFO - Epoch [142][2100/2353] lr: 1.798e-04, eta: 2:16:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0376, loss: 1.0376 +2025-06-01 17:47:29,100 - pyskl - INFO - Epoch [142][2200/2353] lr: 1.779e-04, eta: 2:15:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0305, loss: 1.0305 +2025-06-01 17:48:12,084 - pyskl - INFO - Epoch [142][2300/2353] lr: 1.761e-04, eta: 2:15:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0455, loss: 1.0455 +2025-06-01 17:48:35,408 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-06-01 17:50:01,711 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 17:50:01,786 - pyskl - INFO - +top1_acc 0.9621 +top5_acc 0.9957 +2025-06-01 17:50:01,789 - pyskl - INFO - Epoch(val) [142][1184] top1_acc: 0.9621, top5_acc: 0.9957 +2025-06-01 17:51:05,171 - pyskl - INFO - Epoch [143][100/2353] lr: 1.732e-04, eta: 2:13:55, time: 0.634, data_time: 0.203, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0429, loss: 1.0429 +2025-06-01 17:51:48,053 - pyskl - INFO - Epoch [143][200/2353] lr: 1.714e-04, eta: 2:13:12, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9915, loss: 0.9915 +2025-06-01 17:52:31,013 - pyskl - INFO - Epoch [143][300/2353] lr: 1.695e-04, eta: 2:12:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0082, loss: 1.0082 +2025-06-01 17:53:13,990 - pyskl - INFO - Epoch [143][400/2353] lr: 1.677e-04, eta: 2:11:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0223, loss: 1.0223 +2025-06-01 17:53:57,015 - pyskl - INFO - Epoch [143][500/2353] lr: 1.659e-04, eta: 2:11:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0371, loss: 1.0371 +2025-06-01 17:54:40,019 - pyskl - INFO - Epoch [143][600/2353] lr: 1.641e-04, eta: 2:10:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0429, loss: 1.0429 +2025-06-01 17:55:23,032 - pyskl - INFO - Epoch [143][700/2353] lr: 1.623e-04, eta: 2:09:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0108, loss: 1.0108 +2025-06-01 17:56:06,044 - pyskl - INFO - Epoch [143][800/2353] lr: 1.605e-04, eta: 2:08:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0115, loss: 1.0115 +2025-06-01 17:56:48,991 - pyskl - INFO - Epoch [143][900/2353] lr: 1.588e-04, eta: 2:08:11, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0697, loss: 1.0697 +2025-06-01 17:57:31,877 - pyskl - INFO - Epoch [143][1000/2353] lr: 1.570e-04, eta: 2:07:29, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0382, loss: 1.0382 +2025-06-01 17:58:14,773 - pyskl - INFO - Epoch [143][1100/2353] lr: 1.552e-04, eta: 2:06:46, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9981, loss: 0.9981 +2025-06-01 17:58:57,724 - pyskl - INFO - Epoch [143][1200/2353] lr: 1.535e-04, eta: 2:06:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0097, loss: 1.0097 +2025-06-01 17:59:40,711 - pyskl - INFO - Epoch [143][1300/2353] lr: 1.518e-04, eta: 2:05:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0289, loss: 1.0289 +2025-06-01 18:00:23,662 - pyskl - INFO - Epoch [143][1400/2353] lr: 1.500e-04, eta: 2:04:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0231, loss: 1.0231 +2025-06-01 18:01:06,470 - pyskl - INFO - Epoch [143][1500/2353] lr: 1.483e-04, eta: 2:03:54, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0262, loss: 1.0262 +2025-06-01 18:01:49,387 - pyskl - INFO - Epoch [143][1600/2353] lr: 1.466e-04, eta: 2:03:11, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0533, loss: 1.0533 +2025-06-01 18:02:32,402 - pyskl - INFO - Epoch [143][1700/2353] lr: 1.449e-04, eta: 2:02:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0166, loss: 1.0166 +2025-06-01 18:03:15,397 - pyskl - INFO - Epoch [143][1800/2353] lr: 1.433e-04, eta: 2:01:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9931, loss: 0.9931 +2025-06-01 18:03:58,361 - pyskl - INFO - Epoch [143][1900/2353] lr: 1.416e-04, eta: 2:01:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0252, loss: 1.0252 +2025-06-01 18:04:41,449 - pyskl - INFO - Epoch [143][2000/2353] lr: 1.399e-04, eta: 2:00:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0244, loss: 1.0244 +2025-06-01 18:05:24,397 - pyskl - INFO - Epoch [143][2100/2353] lr: 1.383e-04, eta: 1:59:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0481, loss: 1.0481 +2025-06-01 18:06:07,284 - pyskl - INFO - Epoch [143][2200/2353] lr: 1.366e-04, eta: 1:58:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0328, loss: 1.0328 +2025-06-01 18:06:50,149 - pyskl - INFO - Epoch [143][2300/2353] lr: 1.350e-04, eta: 1:58:11, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0160, loss: 1.0160 +2025-06-01 18:07:13,408 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-06-01 18:08:38,852 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 18:08:38,927 - pyskl - INFO - +top1_acc 0.9604 +top5_acc 0.9957 +2025-06-01 18:08:38,930 - pyskl - INFO - Epoch(val) [143][1184] top1_acc: 0.9604, top5_acc: 0.9957 +2025-06-01 18:09:42,106 - pyskl - INFO - Epoch [144][100/2353] lr: 1.325e-04, eta: 1:57:05, time: 0.632, data_time: 0.203, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0243, loss: 1.0243 +2025-06-01 18:10:25,038 - pyskl - INFO - Epoch [144][200/2353] lr: 1.309e-04, eta: 1:56:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0382, loss: 1.0382 +2025-06-01 18:11:07,988 - pyskl - INFO - Epoch [144][300/2353] lr: 1.293e-04, eta: 1:55:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0382, loss: 1.0382 +2025-06-01 18:11:51,017 - pyskl - INFO - Epoch [144][400/2353] lr: 1.277e-04, eta: 1:54:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0224, loss: 1.0224 +2025-06-01 18:12:33,901 - pyskl - INFO - Epoch [144][500/2353] lr: 1.261e-04, eta: 1:54:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0292, loss: 1.0292 +2025-06-01 18:13:16,909 - pyskl - INFO - Epoch [144][600/2353] lr: 1.245e-04, eta: 1:53:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0127, loss: 1.0127 +2025-06-01 18:13:59,871 - pyskl - INFO - Epoch [144][700/2353] lr: 1.230e-04, eta: 1:52:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0183, loss: 1.0183 +2025-06-01 18:14:43,002 - pyskl - INFO - Epoch [144][800/2353] lr: 1.214e-04, eta: 1:52:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0379, loss: 1.0379 +2025-06-01 18:15:25,988 - pyskl - INFO - Epoch [144][900/2353] lr: 1.199e-04, eta: 1:51:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0140, loss: 1.0140 +2025-06-01 18:16:09,090 - pyskl - INFO - Epoch [144][1000/2353] lr: 1.183e-04, eta: 1:50:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0542, loss: 1.0542 +2025-06-01 18:16:52,091 - pyskl - INFO - Epoch [144][1100/2353] lr: 1.168e-04, eta: 1:49:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0433, loss: 1.0433 +2025-06-01 18:17:35,141 - pyskl - INFO - Epoch [144][1200/2353] lr: 1.153e-04, eta: 1:49:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0460, loss: 1.0460 +2025-06-01 18:18:18,370 - pyskl - INFO - Epoch [144][1300/2353] lr: 1.138e-04, eta: 1:48:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0436, loss: 1.0436 +2025-06-01 18:19:01,516 - pyskl - INFO - Epoch [144][1400/2353] lr: 1.123e-04, eta: 1:47:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0337, loss: 1.0337 +2025-06-01 18:19:44,577 - pyskl - INFO - Epoch [144][1500/2353] lr: 1.108e-04, eta: 1:47:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0418, loss: 1.0418 +2025-06-01 18:20:27,549 - pyskl - INFO - Epoch [144][1600/2353] lr: 1.094e-04, eta: 1:46:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0046, loss: 1.0046 +2025-06-01 18:21:10,405 - pyskl - INFO - Epoch [144][1700/2353] lr: 1.079e-04, eta: 1:45:38, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0223, loss: 1.0223 +2025-06-01 18:21:53,195 - pyskl - INFO - Epoch [144][1800/2353] lr: 1.064e-04, eta: 1:44:55, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0020, loss: 1.0020 +2025-06-01 18:22:36,147 - pyskl - INFO - Epoch [144][1900/2353] lr: 1.050e-04, eta: 1:44:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0320, loss: 1.0320 +2025-06-01 18:23:19,120 - pyskl - INFO - Epoch [144][2000/2353] lr: 1.036e-04, eta: 1:43:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0037, loss: 1.0037 +2025-06-01 18:24:02,204 - pyskl - INFO - Epoch [144][2100/2353] lr: 1.021e-04, eta: 1:42:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0133, loss: 1.0133 +2025-06-01 18:24:45,166 - pyskl - INFO - Epoch [144][2200/2353] lr: 1.007e-04, eta: 1:42:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0238, loss: 1.0238 +2025-06-01 18:25:28,200 - pyskl - INFO - Epoch [144][2300/2353] lr: 9.932e-05, eta: 1:41:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0501, loss: 1.0501 +2025-06-01 18:25:51,562 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-06-01 18:27:16,924 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 18:27:16,999 - pyskl - INFO - +top1_acc 0.9558 +top5_acc 0.9955 +2025-06-01 18:27:17,002 - pyskl - INFO - Epoch(val) [144][1184] top1_acc: 0.9558, top5_acc: 0.9955 +2025-06-01 18:28:20,064 - pyskl - INFO - Epoch [145][100/2353] lr: 9.719e-05, eta: 1:40:15, time: 0.631, data_time: 0.202, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0465, loss: 1.0465 +2025-06-01 18:29:02,997 - pyskl - INFO - Epoch [145][200/2353] lr: 9.581e-05, eta: 1:39:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0229, loss: 1.0229 +2025-06-01 18:29:45,860 - pyskl - INFO - Epoch [145][300/2353] lr: 9.444e-05, eta: 1:38:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0363, loss: 1.0363 +2025-06-01 18:30:28,807 - pyskl - INFO - Epoch [145][400/2353] lr: 9.308e-05, eta: 1:38:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0305, loss: 1.0305 +2025-06-01 18:31:11,789 - pyskl - INFO - Epoch [145][500/2353] lr: 9.173e-05, eta: 1:37:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0158, loss: 1.0158 +2025-06-01 18:31:54,802 - pyskl - INFO - Epoch [145][600/2353] lr: 9.039e-05, eta: 1:36:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9854, loss: 0.9854 +2025-06-01 18:32:37,759 - pyskl - INFO - Epoch [145][700/2353] lr: 8.906e-05, eta: 1:35:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0154, loss: 1.0154 +2025-06-01 18:33:20,784 - pyskl - INFO - Epoch [145][800/2353] lr: 8.774e-05, eta: 1:35:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0761, loss: 1.0761 +2025-06-01 18:34:03,776 - pyskl - INFO - Epoch [145][900/2353] lr: 8.643e-05, eta: 1:34:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0372, loss: 1.0372 +2025-06-01 18:34:46,832 - pyskl - INFO - Epoch [145][1000/2353] lr: 8.513e-05, eta: 1:33:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0486, loss: 1.0486 +2025-06-01 18:35:29,801 - pyskl - INFO - Epoch [145][1100/2353] lr: 8.383e-05, eta: 1:33:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0334, loss: 1.0334 +2025-06-01 18:36:12,732 - pyskl - INFO - Epoch [145][1200/2353] lr: 8.255e-05, eta: 1:32:23, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0421, loss: 1.0421 +2025-06-01 18:36:55,701 - pyskl - INFO - Epoch [145][1300/2353] lr: 8.128e-05, eta: 1:31:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0080, loss: 1.0080 +2025-06-01 18:37:38,670 - pyskl - INFO - Epoch [145][1400/2353] lr: 8.002e-05, eta: 1:30:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0166, loss: 1.0166 +2025-06-01 18:38:21,613 - pyskl - INFO - Epoch [145][1500/2353] lr: 7.877e-05, eta: 1:30:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0240, loss: 1.0240 +2025-06-01 18:39:04,537 - pyskl - INFO - Epoch [145][1600/2353] lr: 7.753e-05, eta: 1:29:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0484, loss: 1.0484 +2025-06-01 18:39:47,477 - pyskl - INFO - Epoch [145][1700/2353] lr: 7.629e-05, eta: 1:28:49, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0061, loss: 1.0061 +2025-06-01 18:40:30,382 - pyskl - INFO - Epoch [145][1800/2353] lr: 7.507e-05, eta: 1:28:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0128, loss: 1.0128 +2025-06-01 18:41:13,381 - pyskl - INFO - Epoch [145][1900/2353] lr: 7.386e-05, eta: 1:27:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0549, loss: 1.0549 +2025-06-01 18:41:56,342 - pyskl - INFO - Epoch [145][2000/2353] lr: 7.266e-05, eta: 1:26:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0186, loss: 1.0186 +2025-06-01 18:42:39,321 - pyskl - INFO - Epoch [145][2100/2353] lr: 7.146e-05, eta: 1:25:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0134, loss: 1.0134 +2025-06-01 18:43:22,205 - pyskl - INFO - Epoch [145][2200/2353] lr: 7.028e-05, eta: 1:25:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0366, loss: 1.0366 +2025-06-01 18:44:05,181 - pyskl - INFO - Epoch [145][2300/2353] lr: 6.911e-05, eta: 1:24:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9928, loss: 0.9928 +2025-06-01 18:44:28,563 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-06-01 18:53:53,459 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 18:53:53,534 - pyskl - INFO - +top1_acc 0.9585 +top5_acc 0.9954 +2025-06-01 18:53:53,537 - pyskl - INFO - Epoch(val) [145][1184] top1_acc: 0.9585, top5_acc: 0.9954 +2025-06-01 18:54:57,025 - pyskl - INFO - Epoch [146][100/2353] lr: 6.733e-05, eta: 1:23:25, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0240, loss: 1.0240 +2025-06-01 18:55:39,956 - pyskl - INFO - Epoch [146][200/2353] lr: 6.618e-05, eta: 1:22:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0338, loss: 1.0338 +2025-06-01 18:56:22,865 - pyskl - INFO - Epoch [146][300/2353] lr: 6.504e-05, eta: 1:22:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0444, loss: 1.0444 +2025-06-01 18:57:05,729 - pyskl - INFO - Epoch [146][400/2353] lr: 6.391e-05, eta: 1:21:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9988, loss: 0.9988 +2025-06-01 18:57:48,589 - pyskl - INFO - Epoch [146][500/2353] lr: 6.280e-05, eta: 1:20:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0294, loss: 1.0294 +2025-06-01 18:58:31,476 - pyskl - INFO - Epoch [146][600/2353] lr: 6.169e-05, eta: 1:19:51, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9949, loss: 0.9949 +2025-06-01 18:59:14,437 - pyskl - INFO - Epoch [146][700/2353] lr: 6.059e-05, eta: 1:19:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0049, loss: 1.0049 +2025-06-01 18:59:57,498 - pyskl - INFO - Epoch [146][800/2353] lr: 5.950e-05, eta: 1:18:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0280, loss: 1.0280 +2025-06-01 19:00:40,596 - pyskl - INFO - Epoch [146][900/2353] lr: 5.842e-05, eta: 1:17:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0417, loss: 1.0417 +2025-06-01 19:01:23,575 - pyskl - INFO - Epoch [146][1000/2353] lr: 5.735e-05, eta: 1:16:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0051, loss: 1.0051 +2025-06-01 19:02:06,514 - pyskl - INFO - Epoch [146][1100/2353] lr: 5.629e-05, eta: 1:16:16, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0103, loss: 1.0103 +2025-06-01 19:02:49,557 - pyskl - INFO - Epoch [146][1200/2353] lr: 5.524e-05, eta: 1:15:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0166, loss: 1.0166 +2025-06-01 19:03:32,639 - pyskl - INFO - Epoch [146][1300/2353] lr: 5.420e-05, eta: 1:14:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0257, loss: 1.0257 +2025-06-01 19:04:15,676 - pyskl - INFO - Epoch [146][1400/2353] lr: 5.317e-05, eta: 1:14:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0312, loss: 1.0312 +2025-06-01 19:04:58,818 - pyskl - INFO - Epoch [146][1500/2353] lr: 5.215e-05, eta: 1:13:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0342, loss: 1.0342 +2025-06-01 19:05:41,735 - pyskl - INFO - Epoch [146][1600/2353] lr: 5.114e-05, eta: 1:12:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0362, loss: 1.0362 +2025-06-01 19:06:24,689 - pyskl - INFO - Epoch [146][1700/2353] lr: 5.014e-05, eta: 1:11:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0288, loss: 1.0288 +2025-06-01 19:07:07,741 - pyskl - INFO - Epoch [146][1800/2353] lr: 4.915e-05, eta: 1:11:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0735, loss: 1.0735 +2025-06-01 19:07:50,797 - pyskl - INFO - Epoch [146][1900/2353] lr: 4.817e-05, eta: 1:10:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0191, loss: 1.0191 +2025-06-01 19:08:34,003 - pyskl - INFO - Epoch [146][2000/2353] lr: 4.720e-05, eta: 1:09:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9691, loss: 0.9691 +2025-06-01 19:09:16,994 - pyskl - INFO - Epoch [146][2100/2353] lr: 4.624e-05, eta: 1:09:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0300, loss: 1.0300 +2025-06-01 19:10:00,012 - pyskl - INFO - Epoch [146][2200/2353] lr: 4.528e-05, eta: 1:08:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0296, loss: 1.0296 +2025-06-01 19:10:42,939 - pyskl - INFO - Epoch [146][2300/2353] lr: 4.434e-05, eta: 1:07:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0315, loss: 1.0315 +2025-06-01 19:11:06,195 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-06-01 19:12:31,755 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 19:12:31,829 - pyskl - INFO - +top1_acc 0.9643 +top5_acc 0.9956 +2025-06-01 19:12:31,832 - pyskl - INFO - Epoch(val) [146][1184] top1_acc: 0.9643, top5_acc: 0.9956 +2025-06-01 19:13:35,473 - pyskl - INFO - Epoch [147][100/2353] lr: 4.292e-05, eta: 1:06:36, time: 0.636, data_time: 0.203, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9974, loss: 0.9974 +2025-06-01 19:14:18,442 - pyskl - INFO - Epoch [147][200/2353] lr: 4.201e-05, eta: 1:05:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0111, loss: 1.0111 +2025-06-01 19:15:01,405 - pyskl - INFO - Epoch [147][300/2353] lr: 4.110e-05, eta: 1:05:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0202, loss: 1.0202 +2025-06-01 19:15:44,409 - pyskl - INFO - Epoch [147][400/2353] lr: 4.020e-05, eta: 1:04:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0184, loss: 1.0184 +2025-06-01 19:16:27,430 - pyskl - INFO - Epoch [147][500/2353] lr: 3.932e-05, eta: 1:03:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9890, loss: 0.9890 +2025-06-01 19:17:10,568 - pyskl - INFO - Epoch [147][600/2353] lr: 3.844e-05, eta: 1:03:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0192, loss: 1.0192 +2025-06-01 19:17:53,594 - pyskl - INFO - Epoch [147][700/2353] lr: 3.757e-05, eta: 1:02:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0083, loss: 1.0083 +2025-06-01 19:18:36,789 - pyskl - INFO - Epoch [147][800/2353] lr: 3.672e-05, eta: 1:01:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0202, loss: 1.0202 +2025-06-01 19:19:19,933 - pyskl - INFO - Epoch [147][900/2353] lr: 3.587e-05, eta: 1:00:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0110, loss: 1.0110 +2025-06-01 19:20:02,768 - pyskl - INFO - Epoch [147][1000/2353] lr: 3.503e-05, eta: 1:00:09, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9907, loss: 0.9907 +2025-06-01 19:20:45,649 - pyskl - INFO - Epoch [147][1100/2353] lr: 3.420e-05, eta: 0:59:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0304, loss: 1.0304 +2025-06-01 19:21:28,568 - pyskl - INFO - Epoch [147][1200/2353] lr: 3.339e-05, eta: 0:58:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0331, loss: 1.0331 +2025-06-01 19:22:11,403 - pyskl - INFO - Epoch [147][1300/2353] lr: 3.258e-05, eta: 0:58:01, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9925, loss: 0.9925 +2025-06-01 19:22:54,372 - pyskl - INFO - Epoch [147][1400/2353] lr: 3.178e-05, eta: 0:57:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0123, loss: 1.0123 +2025-06-01 19:23:37,300 - pyskl - INFO - Epoch [147][1500/2353] lr: 3.099e-05, eta: 0:56:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0129, loss: 1.0129 +2025-06-01 19:24:20,209 - pyskl - INFO - Epoch [147][1600/2353] lr: 3.021e-05, eta: 0:55:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9844, loss: 0.9844 +2025-06-01 19:25:03,110 - pyskl - INFO - Epoch [147][1700/2353] lr: 2.945e-05, eta: 0:55:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0383, loss: 1.0383 +2025-06-01 19:25:45,988 - pyskl - INFO - Epoch [147][1800/2353] lr: 2.869e-05, eta: 0:54:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0282, loss: 1.0282 +2025-06-01 19:26:29,072 - pyskl - INFO - Epoch [147][1900/2353] lr: 2.794e-05, eta: 0:53:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9960, loss: 0.9960 +2025-06-01 19:27:12,168 - pyskl - INFO - Epoch [147][2000/2353] lr: 2.720e-05, eta: 0:53:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0365, loss: 1.0365 +2025-06-01 19:27:55,216 - pyskl - INFO - Epoch [147][2100/2353] lr: 2.647e-05, eta: 0:52:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0371, loss: 1.0371 +2025-06-01 19:28:38,186 - pyskl - INFO - Epoch [147][2200/2353] lr: 2.575e-05, eta: 0:51:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9853, loss: 0.9853 +2025-06-01 19:29:21,068 - pyskl - INFO - Epoch [147][2300/2353] lr: 2.504e-05, eta: 0:50:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0220, loss: 1.0220 +2025-06-01 19:29:44,349 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-06-01 19:31:09,618 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 19:31:09,694 - pyskl - INFO - +top1_acc 0.9590 +top5_acc 0.9956 +2025-06-01 19:31:09,697 - pyskl - INFO - Epoch(val) [147][1184] top1_acc: 0.9590, top5_acc: 0.9956 +2025-06-01 19:32:12,813 - pyskl - INFO - Epoch [148][100/2353] lr: 2.398e-05, eta: 0:49:46, time: 0.631, data_time: 0.203, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0165, loss: 1.0165 +2025-06-01 19:32:55,689 - pyskl - INFO - Epoch [148][200/2353] lr: 2.330e-05, eta: 0:49:03, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0336, loss: 1.0336 +2025-06-01 19:33:38,518 - pyskl - INFO - Epoch [148][300/2353] lr: 2.262e-05, eta: 0:48:20, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0015, loss: 1.0015 +2025-06-01 19:34:21,597 - pyskl - INFO - Epoch [148][400/2353] lr: 2.196e-05, eta: 0:47:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0058, loss: 1.0058 +2025-06-01 19:35:04,666 - pyskl - INFO - Epoch [148][500/2353] lr: 2.130e-05, eta: 0:46:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0129, loss: 1.0129 +2025-06-01 19:35:47,736 - pyskl - INFO - Epoch [148][600/2353] lr: 2.066e-05, eta: 0:46:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0160, loss: 1.0160 +2025-06-01 19:36:30,801 - pyskl - INFO - Epoch [148][700/2353] lr: 2.002e-05, eta: 0:45:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0280, loss: 1.0280 +2025-06-01 19:37:13,943 - pyskl - INFO - Epoch [148][800/2353] lr: 1.940e-05, eta: 0:44:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0212, loss: 1.0212 +2025-06-01 19:37:57,066 - pyskl - INFO - Epoch [148][900/2353] lr: 1.878e-05, eta: 0:44:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9980, loss: 0.9980 +2025-06-01 19:38:40,154 - pyskl - INFO - Epoch [148][1000/2353] lr: 1.818e-05, eta: 0:43:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0286, loss: 1.0286 +2025-06-01 19:39:23,098 - pyskl - INFO - Epoch [148][1100/2353] lr: 1.759e-05, eta: 0:42:37, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0181, loss: 1.0181 +2025-06-01 19:40:05,876 - pyskl - INFO - Epoch [148][1200/2353] lr: 1.700e-05, eta: 0:41:54, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0168, loss: 1.0168 +2025-06-01 19:40:48,531 - pyskl - INFO - Epoch [148][1300/2353] lr: 1.642e-05, eta: 0:41:11, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9836, loss: 0.9836 +2025-06-01 19:41:31,298 - pyskl - INFO - Epoch [148][1400/2353] lr: 1.586e-05, eta: 0:40:28, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0499, loss: 1.0499 +2025-06-01 19:42:14,265 - pyskl - INFO - Epoch [148][1500/2353] lr: 1.530e-05, eta: 0:39:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0546, loss: 1.0546 +2025-06-01 19:42:57,344 - pyskl - INFO - Epoch [148][1600/2353] lr: 1.476e-05, eta: 0:39:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0222, loss: 1.0222 +2025-06-01 19:43:40,321 - pyskl - INFO - Epoch [148][1700/2353] lr: 1.422e-05, eta: 0:38:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0057, loss: 1.0057 +2025-06-01 19:44:23,335 - pyskl - INFO - Epoch [148][1800/2353] lr: 1.370e-05, eta: 0:37:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0184, loss: 1.0184 +2025-06-01 19:45:06,842 - pyskl - INFO - Epoch [148][1900/2353] lr: 1.318e-05, eta: 0:36:53, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0251, loss: 1.0251 +2025-06-01 19:45:50,263 - pyskl - INFO - Epoch [148][2000/2353] lr: 1.268e-05, eta: 0:36:10, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0170, loss: 1.0170 +2025-06-01 19:46:33,684 - pyskl - INFO - Epoch [148][2100/2353] lr: 1.218e-05, eta: 0:35:28, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0254, loss: 1.0254 +2025-06-01 19:47:16,835 - pyskl - INFO - Epoch [148][2200/2353] lr: 1.169e-05, eta: 0:34:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0138, loss: 1.0138 +2025-06-01 19:47:59,974 - pyskl - INFO - Epoch [148][2300/2353] lr: 1.122e-05, eta: 0:34:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0424, loss: 1.0424 +2025-06-01 19:48:23,355 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-06-01 19:49:48,731 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 19:49:48,805 - pyskl - INFO - +top1_acc 0.9511 +top5_acc 0.9948 +2025-06-01 19:49:48,808 - pyskl - INFO - Epoch(val) [148][1184] top1_acc: 0.9511, top5_acc: 0.9948 +2025-06-01 19:50:51,758 - pyskl - INFO - Epoch [149][100/2353] lr: 1.051e-05, eta: 0:32:56, time: 0.629, data_time: 0.201, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0395, loss: 1.0395 +2025-06-01 19:51:34,746 - pyskl - INFO - Epoch [149][200/2353] lr: 1.006e-05, eta: 0:32:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0092, loss: 1.0092 +2025-06-01 19:52:17,680 - pyskl - INFO - Epoch [149][300/2353] lr: 9.616e-06, eta: 0:31:30, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9778, loss: 0.9778 +2025-06-01 19:53:00,645 - pyskl - INFO - Epoch [149][400/2353] lr: 9.184e-06, eta: 0:30:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9936, loss: 0.9936 +2025-06-01 19:53:43,680 - pyskl - INFO - Epoch [149][500/2353] lr: 8.763e-06, eta: 0:30:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0232, loss: 1.0232 +2025-06-01 19:54:26,720 - pyskl - INFO - Epoch [149][600/2353] lr: 8.351e-06, eta: 0:29:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0434, loss: 1.0434 +2025-06-01 19:55:09,746 - pyskl - INFO - Epoch [149][700/2353] lr: 7.950e-06, eta: 0:28:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9788, loss: 0.9788 +2025-06-01 19:55:52,775 - pyskl - INFO - Epoch [149][800/2353] lr: 7.558e-06, eta: 0:27:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0445, loss: 1.0445 +2025-06-01 19:56:35,741 - pyskl - INFO - Epoch [149][900/2353] lr: 7.176e-06, eta: 0:27:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0159, loss: 1.0159 +2025-06-01 19:57:18,886 - pyskl - INFO - Epoch [149][1000/2353] lr: 6.804e-06, eta: 0:26:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0608, loss: 1.0608 +2025-06-01 19:58:01,944 - pyskl - INFO - Epoch [149][1100/2353] lr: 6.442e-06, eta: 0:25:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0416, loss: 1.0416 +2025-06-01 19:58:44,955 - pyskl - INFO - Epoch [149][1200/2353] lr: 6.090e-06, eta: 0:25:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0180, loss: 1.0180 +2025-06-01 19:59:27,925 - pyskl - INFO - Epoch [149][1300/2353] lr: 5.747e-06, eta: 0:24:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0277, loss: 1.0277 +2025-06-01 20:00:10,905 - pyskl - INFO - Epoch [149][1400/2353] lr: 5.415e-06, eta: 0:23:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9965, loss: 0.9965 +2025-06-01 20:00:53,960 - pyskl - INFO - Epoch [149][1500/2353] lr: 5.092e-06, eta: 0:22:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0321, loss: 1.0321 +2025-06-01 20:01:37,076 - pyskl - INFO - Epoch [149][1600/2353] lr: 4.780e-06, eta: 0:22:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9892, loss: 0.9892 +2025-06-01 20:02:20,044 - pyskl - INFO - Epoch [149][1700/2353] lr: 4.477e-06, eta: 0:21:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0063, loss: 1.0063 +2025-06-01 20:03:03,103 - pyskl - INFO - Epoch [149][1800/2353] lr: 4.184e-06, eta: 0:20:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0018, loss: 1.0018 +2025-06-01 20:03:46,319 - pyskl - INFO - Epoch [149][1900/2353] lr: 3.901e-06, eta: 0:20:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0058, loss: 1.0058 +2025-06-01 20:04:29,833 - pyskl - INFO - Epoch [149][2000/2353] lr: 3.628e-06, eta: 0:19:21, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0023, loss: 1.0023 +2025-06-01 20:05:13,302 - pyskl - INFO - Epoch [149][2100/2353] lr: 3.365e-06, eta: 0:18:38, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0211, loss: 1.0211 +2025-06-01 20:05:56,562 - pyskl - INFO - Epoch [149][2200/2353] lr: 3.112e-06, eta: 0:17:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0261, loss: 1.0261 +2025-06-01 20:06:39,870 - pyskl - INFO - Epoch [149][2300/2353] lr: 2.869e-06, eta: 0:17:12, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0403, loss: 1.0403 +2025-06-01 20:07:03,390 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-06-01 20:08:30,413 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 20:08:30,490 - pyskl - INFO - +top1_acc 0.9636 +top5_acc 0.9957 +2025-06-01 20:08:30,494 - pyskl - INFO - Epoch(val) [149][1184] top1_acc: 0.9636, top5_acc: 0.9957 +2025-06-01 20:09:35,240 - pyskl - INFO - Epoch [150][100/2353] lr: 2.516e-06, eta: 0:16:06, time: 0.647, data_time: 0.212, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0267, loss: 1.0267 +2025-06-01 20:10:18,833 - pyskl - INFO - Epoch [150][200/2353] lr: 2.297e-06, eta: 0:15:23, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9976, loss: 0.9976 +2025-06-01 20:11:02,620 - pyskl - INFO - Epoch [150][300/2353] lr: 2.089e-06, eta: 0:14:41, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0039, loss: 1.0039 +2025-06-01 20:11:46,065 - pyskl - INFO - Epoch [150][400/2353] lr: 1.891e-06, eta: 0:13:58, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9912, loss: 0.9912 +2025-06-01 20:12:29,414 - pyskl - INFO - Epoch [150][500/2353] lr: 1.702e-06, eta: 0:13:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0313, loss: 1.0313 +2025-06-01 20:13:12,793 - pyskl - INFO - Epoch [150][600/2353] lr: 1.523e-06, eta: 0:12:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0059, loss: 1.0059 +2025-06-01 20:13:56,283 - pyskl - INFO - Epoch [150][700/2353] lr: 1.355e-06, eta: 0:11:49, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0264, loss: 1.0264 +2025-06-01 20:14:39,941 - pyskl - INFO - Epoch [150][800/2353] lr: 1.196e-06, eta: 0:11:06, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0162, loss: 1.0162 +2025-06-01 20:15:23,454 - pyskl - INFO - Epoch [150][900/2353] lr: 1.047e-06, eta: 0:10:23, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0030, loss: 1.0030 +2025-06-01 20:16:07,091 - pyskl - INFO - Epoch [150][1000/2353] lr: 9.078e-07, eta: 0:09:40, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0343, loss: 1.0343 +2025-06-01 20:16:50,483 - pyskl - INFO - Epoch [150][1100/2353] lr: 7.787e-07, eta: 0:08:57, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9873, loss: 0.9873 +2025-06-01 20:17:33,850 - pyskl - INFO - Epoch [150][1200/2353] lr: 6.594e-07, eta: 0:08:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0158, loss: 1.0158 +2025-06-01 20:18:17,166 - pyskl - INFO - Epoch [150][1300/2353] lr: 5.501e-07, eta: 0:07:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0249, loss: 1.0249 +2025-06-01 20:19:00,492 - pyskl - INFO - Epoch [150][1400/2353] lr: 4.507e-07, eta: 0:06:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0245, loss: 1.0245 +2025-06-01 20:19:43,858 - pyskl - INFO - Epoch [150][1500/2353] lr: 3.611e-07, eta: 0:06:06, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0461, loss: 1.0461 +2025-06-01 20:20:27,172 - pyskl - INFO - Epoch [150][1600/2353] lr: 2.815e-07, eta: 0:05:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0095, loss: 1.0095 +2025-06-01 20:21:10,570 - pyskl - INFO - Epoch [150][1700/2353] lr: 2.118e-07, eta: 0:04:40, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0272, loss: 1.0272 +2025-06-01 20:21:53,870 - pyskl - INFO - Epoch [150][1800/2353] lr: 1.520e-07, eta: 0:03:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0306, loss: 1.0306 +2025-06-01 20:22:37,274 - pyskl - INFO - Epoch [150][1900/2353] lr: 1.021e-07, eta: 0:03:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0243, loss: 1.0243 +2025-06-01 20:23:20,584 - pyskl - INFO - Epoch [150][2000/2353] lr: 6.205e-08, eta: 0:02:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0125, loss: 1.0125 +2025-06-01 20:24:03,886 - pyskl - INFO - Epoch [150][2100/2353] lr: 3.195e-08, eta: 0:01:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0169, loss: 1.0169 +2025-06-01 20:24:47,277 - pyskl - INFO - Epoch [150][2200/2353] lr: 1.174e-08, eta: 0:01:05, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0219, loss: 1.0219 +2025-06-01 20:25:30,587 - pyskl - INFO - Epoch [150][2300/2353] lr: 1.444e-09, eta: 0:00:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0001, loss: 1.0001 +2025-06-01 20:25:54,197 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-06-01 20:27:19,902 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 20:27:19,977 - pyskl - INFO - +top1_acc 0.9498 +top5_acc 0.9939 +2025-06-01 20:27:19,980 - pyskl - INFO - Epoch(val) [150][1184] top1_acc: 0.9498, top5_acc: 0.9939 +2025-06-01 20:27:27,919 - pyskl - INFO - 18932 videos remain after valid thresholding +2025-06-01 20:38:17,378 - pyskl - INFO - Testing results of the last checkpoint +2025-06-01 20:38:17,379 - pyskl - INFO - top1_acc: 0.9497 +2025-06-01 20:38:17,379 - pyskl - INFO - top5_acc: 0.9940 +2025-06-01 20:38:17,380 - pyskl - INFO - load checkpoint from local path: ./work_dirs/ntu60_xview/b_2/best_top1_acc_epoch_139.pth +2025-06-01 20:49:06,841 - pyskl - INFO - Testing results of the best checkpoint +2025-06-01 20:49:06,841 - pyskl - INFO - top1_acc: 0.9658 +2025-06-01 20:49:06,841 - pyskl - INFO - top5_acc: 0.9956