diff --git "a/ntu60_xview/b_1/20250530_181253.log" "b/ntu60_xview/b_1/20250530_181253.log" new file mode 100644--- /dev/null +++ "b/ntu60_xview/b_1/20250530_181253.log" @@ -0,0 +1,4674 @@ +2025-05-30 18:12:53,962 - 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 18:12:54,269 - pyskl - INFO - Config: modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/ntu60_xview/b_1' +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_1', + interval_epoch=5, + weight_1=0.2, + weight_2=0.2)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/nturgbd/ntu60_3danno.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='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 18:12:54,269 - pyskl - INFO - Set random seed to 224059681, deterministic: False +2025-05-30 18:13:03,474 - pyskl - INFO - 37646 videos remain after valid thresholding +2025-05-30 18:13:09,002 - pyskl - INFO - 18932 videos remain after valid thresholding +2025-05-30 18:13:09,024 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1 +2025-05-30 18:13:09,024 - 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 18:13:09,024 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-05-30 18:13:09,024 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1 by HardDiskBackend. +2025-05-30 18:14:14,410 - pyskl - INFO - Epoch [1][100/2353] lr: 2.500e-02, eta: 2 days, 16:04:59, time: 0.654, data_time: 0.207, memory: 13125, top1_acc: 0.0275, top5_acc: 0.1425, loss_cls: 9.9551, loss: 9.9551 +2025-05-30 18:14:58,491 - pyskl - INFO - Epoch [1][200/2353] lr: 2.500e-02, eta: 2 days, 5:37:43, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.0462, top5_acc: 0.1719, loss_cls: 8.9775, loss: 8.9775 +2025-05-30 18:15:42,671 - pyskl - INFO - Epoch [1][300/2353] lr: 2.500e-02, eta: 2 days, 2:10:04, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.0500, top5_acc: 0.1950, loss_cls: 8.8835, loss: 8.8835 +2025-05-30 18:16:26,751 - pyskl - INFO - Epoch [1][400/2353] lr: 2.500e-02, eta: 2 days, 0:24:26, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.0600, top5_acc: 0.2350, loss_cls: 8.6691, loss: 8.6691 +2025-05-30 18:17:10,850 - pyskl - INFO - Epoch [1][500/2353] lr: 2.500e-02, eta: 1 day, 23:20:58, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.0775, top5_acc: 0.3063, loss_cls: 8.4346, loss: 8.4346 +2025-05-30 18:17:54,917 - pyskl - INFO - Epoch [1][600/2353] lr: 2.500e-02, eta: 1 day, 22:38:06, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.0894, top5_acc: 0.3331, loss_cls: 8.2648, loss: 8.2648 +2025-05-30 18:18:39,032 - pyskl - INFO - Epoch [1][700/2353] lr: 2.500e-02, eta: 1 day, 22:07:41, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.0988, top5_acc: 0.3775, loss_cls: 8.1188, loss: 8.1188 +2025-05-30 18:19:23,232 - pyskl - INFO - Epoch [1][800/2353] lr: 2.500e-02, eta: 1 day, 21:45:18, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.1094, top5_acc: 0.4163, loss_cls: 7.9115, loss: 7.9115 +2025-05-30 18:20:07,420 - pyskl - INFO - Epoch [1][900/2353] lr: 2.500e-02, eta: 1 day, 21:27:39, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.1163, top5_acc: 0.4056, loss_cls: 7.9324, loss: 7.9324 +2025-05-30 18:20:51,600 - pyskl - INFO - Epoch [1][1000/2353] lr: 2.500e-02, eta: 1 day, 21:13:20, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.1200, top5_acc: 0.4556, loss_cls: 7.7070, loss: 7.7070 +2025-05-30 18:21:35,697 - pyskl - INFO - Epoch [1][1100/2353] lr: 2.500e-02, eta: 1 day, 21:01:03, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.1156, top5_acc: 0.4381, loss_cls: 7.7684, loss: 7.7684 +2025-05-30 18:22:19,904 - pyskl - INFO - Epoch [1][1200/2353] lr: 2.500e-02, eta: 1 day, 20:51:13, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.1375, top5_acc: 0.4769, loss_cls: 7.6729, loss: 7.6729 +2025-05-30 18:23:04,040 - pyskl - INFO - Epoch [1][1300/2353] lr: 2.500e-02, eta: 1 day, 20:42:29, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.1356, top5_acc: 0.5069, loss_cls: 7.5901, loss: 7.5901 +2025-05-30 18:23:48,344 - pyskl - INFO - Epoch [1][1400/2353] lr: 2.500e-02, eta: 1 day, 20:35:35, time: 0.443, data_time: 0.000, memory: 13125, top1_acc: 0.1638, top5_acc: 0.5381, loss_cls: 7.5084, loss: 7.5084 +2025-05-30 18:24:32,673 - pyskl - INFO - Epoch [1][1500/2353] lr: 2.500e-02, eta: 1 day, 20:29:36, time: 0.443, data_time: 0.000, memory: 13125, top1_acc: 0.1575, top5_acc: 0.5262, loss_cls: 7.4984, loss: 7.4984 +2025-05-30 18:25:16,871 - pyskl - INFO - Epoch [1][1600/2353] lr: 2.500e-02, eta: 1 day, 20:23:48, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.1794, top5_acc: 0.5406, loss_cls: 7.4006, loss: 7.4006 +2025-05-30 18:26:01,053 - pyskl - INFO - Epoch [1][1700/2353] lr: 2.500e-02, eta: 1 day, 20:18:32, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.1769, top5_acc: 0.5475, loss_cls: 7.4541, loss: 7.4541 +2025-05-30 18:26:45,360 - pyskl - INFO - Epoch [1][1800/2353] lr: 2.500e-02, eta: 1 day, 20:14:11, time: 0.443, data_time: 0.000, memory: 13125, top1_acc: 0.1725, top5_acc: 0.5675, loss_cls: 7.2997, loss: 7.2997 +2025-05-30 18:27:29,526 - pyskl - INFO - Epoch [1][1900/2353] lr: 2.500e-02, eta: 1 day, 20:09:46, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.1931, top5_acc: 0.5956, loss_cls: 7.2608, loss: 7.2608 +2025-05-30 18:28:13,761 - pyskl - INFO - Epoch [1][2000/2353] lr: 2.500e-02, eta: 1 day, 20:05:56, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.2106, top5_acc: 0.6138, loss_cls: 7.1651, loss: 7.1651 +2025-05-30 18:28:58,007 - pyskl - INFO - Epoch [1][2100/2353] lr: 2.500e-02, eta: 1 day, 20:02:25, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.2094, top5_acc: 0.6131, loss_cls: 7.1184, loss: 7.1184 +2025-05-30 18:29:42,242 - pyskl - INFO - Epoch [1][2200/2353] lr: 2.500e-02, eta: 1 day, 19:59:08, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.2331, top5_acc: 0.6494, loss_cls: 6.9814, loss: 6.9814 +2025-05-30 18:30:26,537 - pyskl - INFO - Epoch [1][2300/2353] lr: 2.500e-02, eta: 1 day, 19:56:13, time: 0.443, data_time: 0.000, memory: 13125, top1_acc: 0.2306, top5_acc: 0.6538, loss_cls: 6.9391, loss: 6.9391 +2025-05-30 18:30:50,598 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-05-30 18:32:19,876 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 18:32:19,951 - pyskl - INFO - +top1_acc 0.2584 +top5_acc 0.7336 +2025-05-30 18:32:21,017 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-05-30 18:32:21,017 - pyskl - INFO - Best top1_acc is 0.2584 at 1 epoch. +2025-05-30 18:32:21,020 - pyskl - INFO - Epoch(val) [1][1184] top1_acc: 0.2584, top5_acc: 0.7336 +2025-05-30 18:33:26,482 - pyskl - INFO - Epoch [2][100/2353] lr: 2.500e-02, eta: 1 day, 19:46:35, time: 0.655, data_time: 0.209, memory: 13126, top1_acc: 0.2469, top5_acc: 0.6625, loss_cls: 6.8894, loss: 6.8894 +2025-05-30 18:34:10,772 - pyskl - INFO - Epoch [2][200/2353] lr: 2.500e-02, eta: 1 day, 19:44:18, time: 0.443, data_time: 0.000, memory: 13126, top1_acc: 0.2375, top5_acc: 0.6694, loss_cls: 6.8124, loss: 6.8124 +2025-05-30 18:34:54,924 - pyskl - INFO - Epoch [2][300/2353] lr: 2.500e-02, eta: 1 day, 19:41:49, time: 0.442, data_time: 0.000, memory: 13126, top1_acc: 0.2687, top5_acc: 0.6587, loss_cls: 6.8508, loss: 6.8508 +2025-05-30 18:35:39,179 - pyskl - INFO - Epoch [2][400/2353] lr: 2.500e-02, eta: 1 day, 19:39:41, time: 0.443, data_time: 0.000, memory: 13126, top1_acc: 0.2425, top5_acc: 0.6775, loss_cls: 6.8161, loss: 6.8161 +2025-05-30 18:36:23,442 - pyskl - INFO - Epoch [2][500/2353] lr: 2.500e-02, eta: 1 day, 19:37:40, time: 0.443, data_time: 0.000, memory: 13126, top1_acc: 0.2650, top5_acc: 0.7081, loss_cls: 6.7613, loss: 6.7613 +2025-05-30 18:37:07,625 - pyskl - INFO - Epoch [2][600/2353] lr: 2.500e-02, eta: 1 day, 19:35:35, time: 0.442, data_time: 0.000, memory: 13126, top1_acc: 0.2844, top5_acc: 0.7462, loss_cls: 6.5392, loss: 6.5392 +2025-05-30 18:37:52,317 - pyskl - INFO - Epoch [2][700/2353] lr: 2.500e-02, eta: 1 day, 19:34:33, time: 0.447, data_time: 0.000, memory: 13126, top1_acc: 0.3094, top5_acc: 0.7275, loss_cls: 6.4319, loss: 6.4319 +2025-05-30 18:38:36,870 - pyskl - INFO - Epoch [2][800/2353] lr: 2.500e-02, eta: 1 day, 19:33:17, time: 0.446, data_time: 0.000, memory: 13126, top1_acc: 0.3081, top5_acc: 0.7431, loss_cls: 6.4428, loss: 6.4428 +2025-05-30 18:39:21,344 - pyskl - INFO - Epoch [2][900/2353] lr: 2.499e-02, eta: 1 day, 19:31:54, time: 0.445, data_time: 0.000, memory: 13126, top1_acc: 0.3050, top5_acc: 0.7631, loss_cls: 6.4576, loss: 6.4576 +2025-05-30 18:40:05,662 - pyskl - INFO - Epoch [2][1000/2353] lr: 2.499e-02, eta: 1 day, 19:30:18, time: 0.443, data_time: 0.000, memory: 13126, top1_acc: 0.3425, top5_acc: 0.7631, loss_cls: 6.4059, loss: 6.4059 +2025-05-30 18:40:49,979 - pyskl - INFO - Epoch [2][1100/2353] lr: 2.499e-02, eta: 1 day, 19:28:44, time: 0.443, data_time: 0.000, memory: 13126, top1_acc: 0.3337, top5_acc: 0.7775, loss_cls: 6.3923, loss: 6.3923 +2025-05-30 18:41:34,175 - pyskl - INFO - Epoch [2][1200/2353] lr: 2.499e-02, eta: 1 day, 19:27:01, time: 0.442, data_time: 0.000, memory: 13126, top1_acc: 0.3525, top5_acc: 0.7750, loss_cls: 6.2995, loss: 6.2995 +2025-05-30 18:42:18,555 - pyskl - INFO - Epoch [2][1300/2353] lr: 2.499e-02, eta: 1 day, 19:25:39, time: 0.444, data_time: 0.000, memory: 13126, top1_acc: 0.3356, top5_acc: 0.7712, loss_cls: 6.3547, loss: 6.3547 +2025-05-30 18:43:02,949 - pyskl - INFO - Epoch [2][1400/2353] lr: 2.499e-02, eta: 1 day, 19:24:20, time: 0.444, data_time: 0.000, memory: 13126, top1_acc: 0.3794, top5_acc: 0.7837, loss_cls: 6.2227, loss: 6.2227 +2025-05-30 18:43:47,457 - pyskl - INFO - Epoch [2][1500/2353] lr: 2.499e-02, eta: 1 day, 19:23:14, time: 0.445, data_time: 0.000, memory: 13126, top1_acc: 0.3675, top5_acc: 0.7825, loss_cls: 6.1951, loss: 6.1951 +2025-05-30 18:44:31,877 - pyskl - INFO - Epoch [2][1600/2353] lr: 2.499e-02, eta: 1 day, 19:22:01, time: 0.444, data_time: 0.000, memory: 13126, top1_acc: 0.3869, top5_acc: 0.7963, loss_cls: 6.1447, loss: 6.1447 +2025-05-30 18:45:16,320 - pyskl - INFO - Epoch [2][1700/2353] lr: 2.499e-02, eta: 1 day, 19:20:51, time: 0.444, data_time: 0.000, memory: 13126, top1_acc: 0.4037, top5_acc: 0.8237, loss_cls: 6.0246, loss: 6.0246 +2025-05-30 18:46:00,193 - pyskl - INFO - Epoch [2][1800/2353] lr: 2.499e-02, eta: 1 day, 19:18:54, time: 0.439, data_time: 0.000, memory: 13126, top1_acc: 0.4062, top5_acc: 0.8137, loss_cls: 5.9670, loss: 5.9670 +2025-05-30 18:46:44,327 - pyskl - INFO - Epoch [2][1900/2353] lr: 2.499e-02, eta: 1 day, 19:17:23, time: 0.441, data_time: 0.000, memory: 13126, top1_acc: 0.4281, top5_acc: 0.8319, loss_cls: 5.8825, loss: 5.8825 +2025-05-30 18:47:28,566 - pyskl - INFO - Epoch [2][2000/2353] lr: 2.499e-02, eta: 1 day, 19:16:01, time: 0.442, data_time: 0.000, memory: 13126, top1_acc: 0.4094, top5_acc: 0.8387, loss_cls: 5.8849, loss: 5.8849 +2025-05-30 18:48:12,861 - pyskl - INFO - Epoch [2][2100/2353] lr: 2.499e-02, eta: 1 day, 19:14:46, time: 0.443, data_time: 0.000, memory: 13126, top1_acc: 0.4456, top5_acc: 0.8488, loss_cls: 5.6974, loss: 5.6974 +2025-05-30 18:48:56,900 - pyskl - INFO - Epoch [2][2200/2353] lr: 2.499e-02, eta: 1 day, 19:13:13, time: 0.440, data_time: 0.000, memory: 13126, top1_acc: 0.4375, top5_acc: 0.8387, loss_cls: 5.7771, loss: 5.7771 +2025-05-30 18:49:41,226 - pyskl - INFO - Epoch [2][2300/2353] lr: 2.499e-02, eta: 1 day, 19:12:03, time: 0.443, data_time: 0.000, memory: 13126, top1_acc: 0.4662, top5_acc: 0.8669, loss_cls: 5.5884, loss: 5.5884 +2025-05-30 18:50:05,343 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-05-30 18:51:35,687 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 18:51:35,763 - pyskl - INFO - +top1_acc 0.5209 +top5_acc 0.8937 +2025-05-30 18:51:35,813 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_1.pth was removed +2025-05-30 18:51:36,758 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-05-30 18:51:36,759 - pyskl - INFO - Best top1_acc is 0.5209 at 2 epoch. +2025-05-30 18:51:36,762 - pyskl - INFO - Epoch(val) [2][1184] top1_acc: 0.5209, top5_acc: 0.8937 +2025-05-30 18:52:41,813 - pyskl - INFO - Epoch [3][100/2353] lr: 2.499e-02, eta: 1 day, 19:06:58, time: 0.650, data_time: 0.208, memory: 13127, top1_acc: 0.4688, top5_acc: 0.8425, loss_cls: 5.6793, loss: 5.6793 +2025-05-30 18:53:26,111 - pyskl - INFO - Epoch [3][200/2353] lr: 2.499e-02, eta: 1 day, 19:05:53, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.4675, top5_acc: 0.8644, loss_cls: 5.5420, loss: 5.5420 +2025-05-30 18:54:10,316 - pyskl - INFO - Epoch [3][300/2353] lr: 2.499e-02, eta: 1 day, 19:04:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.4869, top5_acc: 0.8688, loss_cls: 5.5301, loss: 5.5301 +2025-05-30 18:54:54,643 - pyskl - INFO - Epoch [3][400/2353] lr: 2.499e-02, eta: 1 day, 19:03:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.4956, top5_acc: 0.8775, loss_cls: 5.3758, loss: 5.3758 +2025-05-30 18:55:38,929 - pyskl - INFO - Epoch [3][500/2353] lr: 2.499e-02, eta: 1 day, 19:02:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5000, top5_acc: 0.8756, loss_cls: 5.4566, loss: 5.4566 +2025-05-30 18:56:23,182 - pyskl - INFO - Epoch [3][600/2353] lr: 2.499e-02, eta: 1 day, 19:01:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5219, top5_acc: 0.8669, loss_cls: 5.4081, loss: 5.4081 +2025-05-30 18:57:07,343 - pyskl - INFO - Epoch [3][700/2353] lr: 2.499e-02, eta: 1 day, 19:00:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.4856, top5_acc: 0.8619, loss_cls: 5.5888, loss: 5.5888 +2025-05-30 18:57:51,682 - pyskl - INFO - Epoch [3][800/2353] lr: 2.498e-02, eta: 1 day, 18:59:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5337, top5_acc: 0.8950, loss_cls: 5.2551, loss: 5.2551 +2025-05-30 18:58:36,058 - pyskl - INFO - Epoch [3][900/2353] lr: 2.498e-02, eta: 1 day, 18:58:30, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.5475, top5_acc: 0.8888, loss_cls: 5.2259, loss: 5.2259 +2025-05-30 18:59:20,429 - pyskl - INFO - Epoch [3][1000/2353] lr: 2.498e-02, eta: 1 day, 18:57:36, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.5406, top5_acc: 0.9075, loss_cls: 5.1305, loss: 5.1305 +2025-05-30 19:00:04,717 - pyskl - INFO - Epoch [3][1100/2353] lr: 2.498e-02, eta: 1 day, 18:56:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5463, top5_acc: 0.8812, loss_cls: 5.1469, loss: 5.1469 +2025-05-30 19:00:49,137 - pyskl - INFO - Epoch [3][1200/2353] lr: 2.498e-02, eta: 1 day, 18:55:45, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.5706, top5_acc: 0.9075, loss_cls: 5.0865, loss: 5.0865 +2025-05-30 19:01:33,330 - pyskl - INFO - Epoch [3][1300/2353] lr: 2.498e-02, eta: 1 day, 18:54:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.5669, top5_acc: 0.8862, loss_cls: 5.1718, loss: 5.1718 +2025-05-30 19:02:17,624 - pyskl - INFO - Epoch [3][1400/2353] lr: 2.498e-02, eta: 1 day, 18:53:43, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5456, top5_acc: 0.8850, loss_cls: 5.1267, loss: 5.1267 +2025-05-30 19:03:01,846 - pyskl - INFO - Epoch [3][1500/2353] lr: 2.498e-02, eta: 1 day, 18:52:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.5550, top5_acc: 0.8925, loss_cls: 5.1304, loss: 5.1304 +2025-05-30 19:03:46,142 - pyskl - INFO - Epoch [3][1600/2353] lr: 2.498e-02, eta: 1 day, 18:51:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5563, top5_acc: 0.9000, loss_cls: 5.0736, loss: 5.0736 +2025-05-30 19:04:30,278 - pyskl - INFO - Epoch [3][1700/2353] lr: 2.498e-02, eta: 1 day, 18:50:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.5850, top5_acc: 0.9025, loss_cls: 5.0020, loss: 5.0020 +2025-05-30 19:05:14,523 - pyskl - INFO - Epoch [3][1800/2353] lr: 2.498e-02, eta: 1 day, 18:49:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.5669, top5_acc: 0.8875, loss_cls: 5.0454, loss: 5.0454 +2025-05-30 19:05:58,835 - pyskl - INFO - Epoch [3][1900/2353] lr: 2.498e-02, eta: 1 day, 18:48:47, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5894, top5_acc: 0.9069, loss_cls: 4.9128, loss: 4.9128 +2025-05-30 19:06:43,025 - pyskl - INFO - Epoch [3][2000/2353] lr: 2.498e-02, eta: 1 day, 18:47:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.5806, top5_acc: 0.9000, loss_cls: 4.8717, loss: 4.8717 +2025-05-30 19:07:27,350 - pyskl - INFO - Epoch [3][2100/2353] lr: 2.498e-02, eta: 1 day, 18:46:53, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6081, top5_acc: 0.9131, loss_cls: 4.8395, loss: 4.8395 +2025-05-30 19:08:11,724 - pyskl - INFO - Epoch [3][2200/2353] lr: 2.498e-02, eta: 1 day, 18:46:02, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.5769, top5_acc: 0.9087, loss_cls: 4.9447, loss: 4.9447 +2025-05-30 19:08:56,152 - pyskl - INFO - Epoch [3][2300/2353] lr: 2.498e-02, eta: 1 day, 18:45:15, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.6044, top5_acc: 0.9100, loss_cls: 4.7852, loss: 4.7852 +2025-05-30 19:09:20,269 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-05-30 19:10:49,542 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 19:10:49,624 - pyskl - INFO - +top1_acc 0.6279 +top5_acc 0.9310 +2025-05-30 19:10:49,670 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_2.pth was removed +2025-05-30 19:10:50,687 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-05-30 19:10:50,688 - pyskl - INFO - Best top1_acc is 0.6279 at 3 epoch. +2025-05-30 19:10:50,690 - pyskl - INFO - Epoch(val) [3][1184] top1_acc: 0.6279, top5_acc: 0.9310 +2025-05-30 19:11:55,214 - pyskl - INFO - Epoch [4][100/2353] lr: 2.497e-02, eta: 1 day, 18:41:15, time: 0.645, data_time: 0.202, memory: 13127, top1_acc: 0.6231, top5_acc: 0.9219, loss_cls: 4.7260, loss: 4.7260 +2025-05-30 19:12:39,548 - pyskl - INFO - Epoch [4][200/2353] lr: 2.497e-02, eta: 1 day, 18:40:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6194, top5_acc: 0.9250, loss_cls: 4.6804, loss: 4.6804 +2025-05-30 19:13:23,817 - pyskl - INFO - Epoch [4][300/2353] lr: 2.497e-02, eta: 1 day, 18:39:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6069, top5_acc: 0.9150, loss_cls: 4.7890, loss: 4.7890 +2025-05-30 19:14:07,941 - pyskl - INFO - Epoch [4][400/2353] lr: 2.497e-02, eta: 1 day, 18:38:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6444, top5_acc: 0.9225, loss_cls: 4.5722, loss: 4.5722 +2025-05-30 19:14:52,176 - pyskl - INFO - Epoch [4][500/2353] lr: 2.497e-02, eta: 1 day, 18:37:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6162, top5_acc: 0.9163, loss_cls: 4.7914, loss: 4.7914 +2025-05-30 19:15:36,357 - pyskl - INFO - Epoch [4][600/2353] lr: 2.497e-02, eta: 1 day, 18:36:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6412, top5_acc: 0.9306, loss_cls: 4.5650, loss: 4.5650 +2025-05-30 19:16:20,594 - pyskl - INFO - Epoch [4][700/2353] lr: 2.497e-02, eta: 1 day, 18:35:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6325, top5_acc: 0.9175, loss_cls: 4.5842, loss: 4.5842 +2025-05-30 19:17:04,803 - pyskl - INFO - Epoch [4][800/2353] lr: 2.497e-02, eta: 1 day, 18:34:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6481, top5_acc: 0.9325, loss_cls: 4.5003, loss: 4.5003 +2025-05-30 19:17:48,975 - pyskl - INFO - Epoch [4][900/2353] lr: 2.497e-02, eta: 1 day, 18:34:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6050, top5_acc: 0.9231, loss_cls: 4.7141, loss: 4.7141 +2025-05-30 19:18:33,169 - pyskl - INFO - Epoch [4][1000/2353] lr: 2.497e-02, eta: 1 day, 18:33:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6175, top5_acc: 0.9137, loss_cls: 4.6457, loss: 4.6457 +2025-05-30 19:19:17,372 - pyskl - INFO - Epoch [4][1100/2353] lr: 2.497e-02, eta: 1 day, 18:32:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6331, top5_acc: 0.9219, loss_cls: 4.5758, loss: 4.5758 +2025-05-30 19:20:01,860 - pyskl - INFO - Epoch [4][1200/2353] lr: 2.497e-02, eta: 1 day, 18:31:33, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.6375, top5_acc: 0.9231, loss_cls: 4.6286, loss: 4.6286 +2025-05-30 19:20:46,308 - pyskl - INFO - Epoch [4][1300/2353] lr: 2.497e-02, eta: 1 day, 18:30:50, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.6481, top5_acc: 0.9231, loss_cls: 4.5525, loss: 4.5525 +2025-05-30 19:21:30,557 - pyskl - INFO - Epoch [4][1400/2353] lr: 2.496e-02, eta: 1 day, 18:29:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6512, top5_acc: 0.9256, loss_cls: 4.5296, loss: 4.5296 +2025-05-30 19:22:14,732 - pyskl - INFO - Epoch [4][1500/2353] lr: 2.496e-02, eta: 1 day, 18:29:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6544, top5_acc: 0.9344, loss_cls: 4.4427, loss: 4.4427 +2025-05-30 19:22:58,944 - pyskl - INFO - Epoch [4][1600/2353] lr: 2.496e-02, eta: 1 day, 18:28:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6656, top5_acc: 0.9294, loss_cls: 4.4647, loss: 4.4647 +2025-05-30 19:23:43,088 - pyskl - INFO - Epoch [4][1700/2353] lr: 2.496e-02, eta: 1 day, 18:27:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6450, top5_acc: 0.9231, loss_cls: 4.5393, loss: 4.5393 +2025-05-30 19:24:27,600 - pyskl - INFO - Epoch [4][1800/2353] lr: 2.496e-02, eta: 1 day, 18:26:38, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.6512, top5_acc: 0.9225, loss_cls: 4.5677, loss: 4.5677 +2025-05-30 19:25:11,925 - pyskl - INFO - Epoch [4][1900/2353] lr: 2.496e-02, eta: 1 day, 18:25:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6500, top5_acc: 0.9325, loss_cls: 4.4991, loss: 4.4991 +2025-05-30 19:25:56,462 - pyskl - INFO - Epoch [4][2000/2353] lr: 2.496e-02, eta: 1 day, 18:25:11, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.6575, top5_acc: 0.9344, loss_cls: 4.4962, loss: 4.4962 +2025-05-30 19:26:40,705 - pyskl - INFO - Epoch [4][2100/2353] lr: 2.496e-02, eta: 1 day, 18:24:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6631, top5_acc: 0.9313, loss_cls: 4.4248, loss: 4.4248 +2025-05-30 19:27:25,129 - pyskl - INFO - Epoch [4][2200/2353] lr: 2.496e-02, eta: 1 day, 18:23:37, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.6575, top5_acc: 0.9263, loss_cls: 4.4462, loss: 4.4462 +2025-05-30 19:28:09,468 - pyskl - INFO - Epoch [4][2300/2353] lr: 2.496e-02, eta: 1 day, 18:22:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6519, top5_acc: 0.9275, loss_cls: 4.5140, loss: 4.5140 +2025-05-30 19:28:33,446 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-05-30 19:30:03,145 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 19:30:03,223 - pyskl - INFO - +top1_acc 0.7003 +top5_acc 0.9572 +2025-05-30 19:30:03,277 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_3.pth was removed +2025-05-30 19:30:04,287 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-05-30 19:30:04,288 - pyskl - INFO - Best top1_acc is 0.7003 at 4 epoch. +2025-05-30 19:30:04,290 - pyskl - INFO - Epoch(val) [4][1184] top1_acc: 0.7003, top5_acc: 0.9572 +2025-05-30 19:31:09,030 - pyskl - INFO - Epoch [5][100/2353] lr: 2.496e-02, eta: 1 day, 18:19:46, time: 0.647, data_time: 0.205, memory: 13127, top1_acc: 0.6856, top5_acc: 0.9419, loss_cls: 4.2081, loss: 4.2081 +2025-05-30 19:31:53,219 - pyskl - INFO - Epoch [5][200/2353] lr: 2.495e-02, eta: 1 day, 18:18:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6881, top5_acc: 0.9325, loss_cls: 4.4601, loss: 4.4601 +2025-05-30 19:32:37,503 - pyskl - INFO - Epoch [5][300/2353] lr: 2.495e-02, eta: 1 day, 18:18:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6713, top5_acc: 0.9219, loss_cls: 4.4300, loss: 4.4300 +2025-05-30 19:33:21,623 - pyskl - INFO - Epoch [5][400/2353] lr: 2.495e-02, eta: 1 day, 18:17:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6719, top5_acc: 0.9450, loss_cls: 4.3165, loss: 4.3165 +2025-05-30 19:34:05,680 - pyskl - INFO - Epoch [5][500/2353] lr: 2.495e-02, eta: 1 day, 18:16:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6719, top5_acc: 0.9344, loss_cls: 4.2781, loss: 4.2781 +2025-05-30 19:34:49,793 - pyskl - INFO - Epoch [5][600/2353] lr: 2.495e-02, eta: 1 day, 18:15:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6881, top5_acc: 0.9431, loss_cls: 4.2715, loss: 4.2715 +2025-05-30 19:35:33,904 - pyskl - INFO - Epoch [5][700/2353] lr: 2.495e-02, eta: 1 day, 18:14:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6775, top5_acc: 0.9394, loss_cls: 4.2391, loss: 4.2391 +2025-05-30 19:36:18,047 - pyskl - INFO - Epoch [5][800/2353] lr: 2.495e-02, eta: 1 day, 18:13:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6913, top5_acc: 0.9425, loss_cls: 4.2636, loss: 4.2636 +2025-05-30 19:37:02,113 - pyskl - INFO - Epoch [5][900/2353] lr: 2.495e-02, eta: 1 day, 18:12:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6925, top5_acc: 0.9375, loss_cls: 4.1574, loss: 4.1574 +2025-05-30 19:37:46,276 - pyskl - INFO - Epoch [5][1000/2353] lr: 2.495e-02, eta: 1 day, 18:11:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6863, top5_acc: 0.9375, loss_cls: 4.1825, loss: 4.1825 +2025-05-30 19:38:30,394 - pyskl - INFO - Epoch [5][1100/2353] lr: 2.495e-02, eta: 1 day, 18:11:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6937, top5_acc: 0.9381, loss_cls: 4.2023, loss: 4.2023 +2025-05-30 19:39:14,534 - pyskl - INFO - Epoch [5][1200/2353] lr: 2.494e-02, eta: 1 day, 18:10:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6963, top5_acc: 0.9319, loss_cls: 4.1775, loss: 4.1775 +2025-05-30 19:39:58,670 - pyskl - INFO - Epoch [5][1300/2353] lr: 2.494e-02, eta: 1 day, 18:09:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6700, top5_acc: 0.9387, loss_cls: 4.2782, loss: 4.2782 +2025-05-30 19:40:42,788 - pyskl - INFO - Epoch [5][1400/2353] lr: 2.494e-02, eta: 1 day, 18:08:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6737, top5_acc: 0.9331, loss_cls: 4.3233, loss: 4.3233 +2025-05-30 19:41:26,878 - pyskl - INFO - Epoch [5][1500/2353] lr: 2.494e-02, eta: 1 day, 18:07:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6850, top5_acc: 0.9456, loss_cls: 4.2653, loss: 4.2653 +2025-05-30 19:42:11,000 - pyskl - INFO - Epoch [5][1600/2353] lr: 2.494e-02, eta: 1 day, 18:06:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7025, top5_acc: 0.9475, loss_cls: 4.1871, loss: 4.1871 +2025-05-30 19:42:55,314 - pyskl - INFO - Epoch [5][1700/2353] lr: 2.494e-02, eta: 1 day, 18:06:04, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6975, top5_acc: 0.9425, loss_cls: 4.2306, loss: 4.2306 +2025-05-30 19:43:39,492 - pyskl - INFO - Epoch [5][1800/2353] lr: 2.494e-02, eta: 1 day, 18:05:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6975, top5_acc: 0.9481, loss_cls: 4.1784, loss: 4.1784 +2025-05-30 19:44:23,705 - pyskl - INFO - Epoch [5][1900/2353] lr: 2.494e-02, eta: 1 day, 18:04:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7094, top5_acc: 0.9450, loss_cls: 4.1600, loss: 4.1600 +2025-05-30 19:45:07,969 - pyskl - INFO - Epoch [5][2000/2353] lr: 2.494e-02, eta: 1 day, 18:03:40, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6819, top5_acc: 0.9544, loss_cls: 4.2320, loss: 4.2320 +2025-05-30 19:45:52,054 - pyskl - INFO - Epoch [5][2100/2353] lr: 2.493e-02, eta: 1 day, 18:02:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6887, top5_acc: 0.9494, loss_cls: 4.2203, loss: 4.2203 +2025-05-30 19:46:36,300 - pyskl - INFO - Epoch [5][2200/2353] lr: 2.493e-02, eta: 1 day, 18:02:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7069, top5_acc: 0.9325, loss_cls: 4.1731, loss: 4.1731 +2025-05-30 19:47:20,349 - pyskl - INFO - Epoch [5][2300/2353] lr: 2.493e-02, eta: 1 day, 18:01:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.6856, top5_acc: 0.9400, loss_cls: 4.1310, loss: 4.1310 +2025-05-30 19:47:44,286 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-05-30 19:57:01,758 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 19:57:01,851 - pyskl - INFO - +top1_acc 0.7600 +top5_acc 0.9683 +2025-05-30 19:57:01,925 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_4.pth was removed +2025-05-30 19:57:03,175 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-05-30 19:57:03,176 - pyskl - INFO - Best top1_acc is 0.7600 at 5 epoch. +2025-05-30 19:57:03,181 - pyskl - INFO - Epoch(val) [5][1184] top1_acc: 0.7600, top5_acc: 0.9683 +2025-05-30 19:58:08,123 - pyskl - INFO - Epoch [6][100/2353] lr: 2.493e-02, eta: 1 day, 17:58:38, time: 0.649, data_time: 0.205, memory: 13127, top1_acc: 0.6825, top5_acc: 0.9431, loss_cls: 4.2357, loss: 4.2357 +2025-05-30 19:58:52,509 - pyskl - INFO - Epoch [6][200/2353] lr: 2.493e-02, eta: 1 day, 17:57:56, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7069, top5_acc: 0.9406, loss_cls: 4.1287, loss: 4.1287 +2025-05-30 19:59:36,802 - pyskl - INFO - Epoch [6][300/2353] lr: 2.493e-02, eta: 1 day, 17:57:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6919, top5_acc: 0.9313, loss_cls: 4.2870, loss: 4.2870 +2025-05-30 20:00:21,073 - pyskl - INFO - Epoch [6][400/2353] lr: 2.493e-02, eta: 1 day, 17:56:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7081, top5_acc: 0.9381, loss_cls: 4.2005, loss: 4.2005 +2025-05-30 20:01:05,413 - pyskl - INFO - Epoch [6][500/2353] lr: 2.493e-02, eta: 1 day, 17:55:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6987, top5_acc: 0.9506, loss_cls: 4.1238, loss: 4.1238 +2025-05-30 20:01:49,736 - pyskl - INFO - Epoch [6][600/2353] lr: 2.492e-02, eta: 1 day, 17:54:59, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7119, top5_acc: 0.9444, loss_cls: 4.1144, loss: 4.1144 +2025-05-30 20:02:34,081 - pyskl - INFO - Epoch [6][700/2353] lr: 2.492e-02, eta: 1 day, 17:54:15, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7031, top5_acc: 0.9487, loss_cls: 4.1849, loss: 4.1849 +2025-05-30 20:03:18,428 - pyskl - INFO - Epoch [6][800/2353] lr: 2.492e-02, eta: 1 day, 17:53:32, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7181, top5_acc: 0.9525, loss_cls: 3.9439, loss: 3.9439 +2025-05-30 20:04:02,757 - pyskl - INFO - Epoch [6][900/2353] lr: 2.492e-02, eta: 1 day, 17:52:48, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7200, top5_acc: 0.9387, loss_cls: 4.0927, loss: 4.0927 +2025-05-30 20:04:47,057 - pyskl - INFO - Epoch [6][1000/2353] lr: 2.492e-02, eta: 1 day, 17:52:04, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7300, top5_acc: 0.9494, loss_cls: 4.0034, loss: 4.0034 +2025-05-30 20:05:31,309 - pyskl - INFO - Epoch [6][1100/2353] lr: 2.492e-02, eta: 1 day, 17:51:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7256, top5_acc: 0.9600, loss_cls: 4.0393, loss: 4.0393 +2025-05-30 20:06:15,653 - pyskl - INFO - Epoch [6][1200/2353] lr: 2.492e-02, eta: 1 day, 17:50:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7306, top5_acc: 0.9463, loss_cls: 4.0418, loss: 4.0418 +2025-05-30 20:06:59,917 - pyskl - INFO - Epoch [6][1300/2353] lr: 2.492e-02, eta: 1 day, 17:49:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6944, top5_acc: 0.9475, loss_cls: 4.0588, loss: 4.0588 +2025-05-30 20:07:44,230 - pyskl - INFO - Epoch [6][1400/2353] lr: 2.491e-02, eta: 1 day, 17:49:05, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7006, top5_acc: 0.9475, loss_cls: 4.0517, loss: 4.0517 +2025-05-30 20:08:28,536 - pyskl - INFO - Epoch [6][1500/2353] lr: 2.491e-02, eta: 1 day, 17:48:21, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7113, top5_acc: 0.9475, loss_cls: 4.0574, loss: 4.0574 +2025-05-30 20:09:12,746 - pyskl - INFO - Epoch [6][1600/2353] lr: 2.491e-02, eta: 1 day, 17:47:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7188, top5_acc: 0.9419, loss_cls: 4.0576, loss: 4.0576 +2025-05-30 20:09:57,031 - pyskl - INFO - Epoch [6][1700/2353] lr: 2.491e-02, eta: 1 day, 17:46:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7325, top5_acc: 0.9463, loss_cls: 3.8930, loss: 3.8930 +2025-05-30 20:10:41,441 - pyskl - INFO - Epoch [6][1800/2353] lr: 2.491e-02, eta: 1 day, 17:46:08, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7225, top5_acc: 0.9475, loss_cls: 4.0482, loss: 4.0482 +2025-05-30 20:11:25,748 - pyskl - INFO - Epoch [6][1900/2353] lr: 2.491e-02, eta: 1 day, 17:45:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6856, top5_acc: 0.9369, loss_cls: 4.1896, loss: 4.1896 +2025-05-30 20:12:10,140 - pyskl - INFO - Epoch [6][2000/2353] lr: 2.491e-02, eta: 1 day, 17:44:41, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7150, top5_acc: 0.9537, loss_cls: 4.0237, loss: 4.0237 +2025-05-30 20:12:54,527 - pyskl - INFO - Epoch [6][2100/2353] lr: 2.490e-02, eta: 1 day, 17:43:59, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7300, top5_acc: 0.9513, loss_cls: 3.9928, loss: 3.9928 +2025-05-30 20:13:38,956 - pyskl - INFO - Epoch [6][2200/2353] lr: 2.490e-02, eta: 1 day, 17:43:17, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7244, top5_acc: 0.9475, loss_cls: 3.9644, loss: 3.9644 +2025-05-30 20:14:23,349 - pyskl - INFO - Epoch [6][2300/2353] lr: 2.490e-02, eta: 1 day, 17:42:35, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7194, top5_acc: 0.9475, loss_cls: 4.0518, loss: 4.0518 +2025-05-30 20:14:47,470 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-05-30 20:16:16,415 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 20:16:16,492 - pyskl - INFO - +top1_acc 0.7492 +top5_acc 0.9681 +2025-05-30 20:16:16,495 - pyskl - INFO - Epoch(val) [6][1184] top1_acc: 0.7492, top5_acc: 0.9681 +2025-05-30 20:17:20,897 - pyskl - INFO - Epoch [7][100/2353] lr: 2.490e-02, eta: 1 day, 17:40:06, time: 0.644, data_time: 0.201, memory: 13127, top1_acc: 0.7238, top5_acc: 0.9606, loss_cls: 3.8677, loss: 3.8677 +2025-05-30 20:18:05,090 - pyskl - INFO - Epoch [7][200/2353] lr: 2.490e-02, eta: 1 day, 17:39:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9613, loss_cls: 3.8784, loss: 3.8784 +2025-05-30 20:18:49,202 - pyskl - INFO - Epoch [7][300/2353] lr: 2.490e-02, eta: 1 day, 17:38:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7381, top5_acc: 0.9537, loss_cls: 3.9033, loss: 3.9033 +2025-05-30 20:19:33,379 - pyskl - INFO - Epoch [7][400/2353] lr: 2.490e-02, eta: 1 day, 17:37:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7150, top5_acc: 0.9537, loss_cls: 4.0000, loss: 4.0000 +2025-05-30 20:20:17,604 - pyskl - INFO - Epoch [7][500/2353] lr: 2.489e-02, eta: 1 day, 17:36:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7244, top5_acc: 0.9569, loss_cls: 3.8870, loss: 3.8870 +2025-05-30 20:21:01,725 - pyskl - INFO - Epoch [7][600/2353] lr: 2.489e-02, eta: 1 day, 17:36:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7438, top5_acc: 0.9594, loss_cls: 3.8467, loss: 3.8467 +2025-05-30 20:21:45,848 - pyskl - INFO - Epoch [7][700/2353] lr: 2.489e-02, eta: 1 day, 17:35:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7312, top5_acc: 0.9587, loss_cls: 3.8980, loss: 3.8980 +2025-05-30 20:22:29,911 - pyskl - INFO - Epoch [7][800/2353] lr: 2.489e-02, eta: 1 day, 17:34:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7288, top5_acc: 0.9537, loss_cls: 3.9019, loss: 3.9019 +2025-05-30 20:23:14,076 - pyskl - INFO - Epoch [7][900/2353] lr: 2.489e-02, eta: 1 day, 17:33:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7469, top5_acc: 0.9500, loss_cls: 4.0022, loss: 4.0022 +2025-05-30 20:23:58,209 - pyskl - INFO - Epoch [7][1000/2353] lr: 2.489e-02, eta: 1 day, 17:33:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7338, top5_acc: 0.9550, loss_cls: 3.9096, loss: 3.9096 +2025-05-30 20:24:42,328 - pyskl - INFO - Epoch [7][1100/2353] lr: 2.489e-02, eta: 1 day, 17:32:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7331, top5_acc: 0.9550, loss_cls: 3.8797, loss: 3.8797 +2025-05-30 20:25:26,458 - pyskl - INFO - Epoch [7][1200/2353] lr: 2.488e-02, eta: 1 day, 17:31:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7412, top5_acc: 0.9475, loss_cls: 3.8615, loss: 3.8615 +2025-05-30 20:26:10,668 - pyskl - INFO - Epoch [7][1300/2353] lr: 2.488e-02, eta: 1 day, 17:30:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7281, top5_acc: 0.9606, loss_cls: 3.8948, loss: 3.8948 +2025-05-30 20:26:54,731 - pyskl - INFO - Epoch [7][1400/2353] lr: 2.488e-02, eta: 1 day, 17:29:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7425, top5_acc: 0.9531, loss_cls: 3.8551, loss: 3.8551 +2025-05-30 20:27:38,813 - pyskl - INFO - Epoch [7][1500/2353] lr: 2.488e-02, eta: 1 day, 17:29:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7312, top5_acc: 0.9494, loss_cls: 3.8544, loss: 3.8544 +2025-05-30 20:28:22,956 - pyskl - INFO - Epoch [7][1600/2353] lr: 2.488e-02, eta: 1 day, 17:28:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7481, top5_acc: 0.9600, loss_cls: 3.8050, loss: 3.8050 +2025-05-30 20:29:07,129 - pyskl - INFO - Epoch [7][1700/2353] lr: 2.488e-02, eta: 1 day, 17:27:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7506, top5_acc: 0.9587, loss_cls: 3.8611, loss: 3.8611 +2025-05-30 20:29:51,357 - pyskl - INFO - Epoch [7][1800/2353] lr: 2.487e-02, eta: 1 day, 17:26:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7319, top5_acc: 0.9506, loss_cls: 3.9599, loss: 3.9599 +2025-05-30 20:30:35,425 - pyskl - INFO - Epoch [7][1900/2353] lr: 2.487e-02, eta: 1 day, 17:25:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7394, top5_acc: 0.9513, loss_cls: 3.8771, loss: 3.8771 +2025-05-30 20:31:19,698 - pyskl - INFO - Epoch [7][2000/2353] lr: 2.487e-02, eta: 1 day, 17:25:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7500, top5_acc: 0.9513, loss_cls: 3.8125, loss: 3.8125 +2025-05-30 20:32:04,048 - pyskl - INFO - Epoch [7][2100/2353] lr: 2.487e-02, eta: 1 day, 17:24:28, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7588, top5_acc: 0.9575, loss_cls: 3.8233, loss: 3.8233 +2025-05-30 20:32:48,237 - pyskl - INFO - Epoch [7][2200/2353] lr: 2.487e-02, eta: 1 day, 17:23:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7488, top5_acc: 0.9563, loss_cls: 3.8020, loss: 3.8020 +2025-05-30 20:33:32,417 - pyskl - INFO - Epoch [7][2300/2353] lr: 2.487e-02, eta: 1 day, 17:22:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7444, top5_acc: 0.9506, loss_cls: 3.7933, loss: 3.7933 +2025-05-30 20:33:56,416 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-05-30 20:35:25,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 20:35:25,575 - pyskl - INFO - +top1_acc 0.7872 +top5_acc 0.9749 +2025-05-30 20:35:25,631 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_5.pth was removed +2025-05-30 20:35:26,718 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-05-30 20:35:26,719 - pyskl - INFO - Best top1_acc is 0.7872 at 7 epoch. +2025-05-30 20:35:26,722 - pyskl - INFO - Epoch(val) [7][1184] top1_acc: 0.7872, top5_acc: 0.9749 +2025-05-30 20:36:31,121 - pyskl - INFO - Epoch [8][100/2353] lr: 2.486e-02, eta: 1 day, 17:20:40, time: 0.644, data_time: 0.198, memory: 13127, top1_acc: 0.7600, top5_acc: 0.9600, loss_cls: 3.7603, loss: 3.7603 +2025-05-30 20:37:15,237 - pyskl - INFO - Epoch [8][200/2353] lr: 2.486e-02, eta: 1 day, 17:19:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7625, top5_acc: 0.9606, loss_cls: 3.6353, loss: 3.6353 +2025-05-30 20:37:59,308 - pyskl - INFO - Epoch [8][300/2353] lr: 2.486e-02, eta: 1 day, 17:19:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7275, top5_acc: 0.9544, loss_cls: 3.9332, loss: 3.9332 +2025-05-30 20:38:43,365 - pyskl - INFO - Epoch [8][400/2353] lr: 2.486e-02, eta: 1 day, 17:18:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7488, top5_acc: 0.9531, loss_cls: 3.8462, loss: 3.8462 +2025-05-30 20:39:27,418 - pyskl - INFO - Epoch [8][500/2353] lr: 2.486e-02, eta: 1 day, 17:17:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7531, top5_acc: 0.9513, loss_cls: 3.8155, loss: 3.8155 +2025-05-30 20:40:11,492 - pyskl - INFO - Epoch [8][600/2353] lr: 2.486e-02, eta: 1 day, 17:16:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7506, top5_acc: 0.9594, loss_cls: 3.7722, loss: 3.7722 +2025-05-30 20:40:55,663 - pyskl - INFO - Epoch [8][700/2353] lr: 2.485e-02, eta: 1 day, 17:15:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7594, top5_acc: 0.9631, loss_cls: 3.6932, loss: 3.6932 +2025-05-30 20:41:39,839 - pyskl - INFO - Epoch [8][800/2353] lr: 2.485e-02, eta: 1 day, 17:15:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7506, top5_acc: 0.9644, loss_cls: 3.7727, loss: 3.7727 +2025-05-30 20:42:24,100 - pyskl - INFO - Epoch [8][900/2353] lr: 2.485e-02, eta: 1 day, 17:14:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7488, top5_acc: 0.9481, loss_cls: 3.8167, loss: 3.8167 +2025-05-30 20:43:08,229 - pyskl - INFO - Epoch [8][1000/2353] lr: 2.485e-02, eta: 1 day, 17:13:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7412, top5_acc: 0.9556, loss_cls: 3.7881, loss: 3.7881 +2025-05-30 20:43:52,308 - pyskl - INFO - Epoch [8][1100/2353] lr: 2.485e-02, eta: 1 day, 17:12:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7450, top5_acc: 0.9625, loss_cls: 3.7164, loss: 3.7164 +2025-05-30 20:44:36,351 - pyskl - INFO - Epoch [8][1200/2353] lr: 2.485e-02, eta: 1 day, 17:12:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9556, loss_cls: 3.7649, loss: 3.7649 +2025-05-30 20:45:20,467 - pyskl - INFO - Epoch [8][1300/2353] lr: 2.484e-02, eta: 1 day, 17:11:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7538, top5_acc: 0.9594, loss_cls: 3.8073, loss: 3.8073 +2025-05-30 20:46:04,608 - pyskl - INFO - Epoch [8][1400/2353] lr: 2.484e-02, eta: 1 day, 17:10:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9606, loss_cls: 3.7557, loss: 3.7557 +2025-05-30 20:46:48,754 - pyskl - INFO - Epoch [8][1500/2353] lr: 2.484e-02, eta: 1 day, 17:09:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7544, top5_acc: 0.9600, loss_cls: 3.8038, loss: 3.8038 +2025-05-30 20:47:32,912 - pyskl - INFO - Epoch [8][1600/2353] lr: 2.484e-02, eta: 1 day, 17:09:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7425, top5_acc: 0.9550, loss_cls: 3.7136, loss: 3.7136 +2025-05-30 20:48:17,035 - pyskl - INFO - Epoch [8][1700/2353] lr: 2.484e-02, eta: 1 day, 17:08:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7725, top5_acc: 0.9644, loss_cls: 3.6698, loss: 3.6698 +2025-05-30 20:49:01,184 - pyskl - INFO - Epoch [8][1800/2353] lr: 2.484e-02, eta: 1 day, 17:07:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7700, top5_acc: 0.9563, loss_cls: 3.6423, loss: 3.6423 +2025-05-30 20:49:45,360 - pyskl - INFO - Epoch [8][1900/2353] lr: 2.483e-02, eta: 1 day, 17:06:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7562, top5_acc: 0.9581, loss_cls: 3.6952, loss: 3.6952 +2025-05-30 20:50:29,452 - pyskl - INFO - Epoch [8][2000/2353] lr: 2.483e-02, eta: 1 day, 17:05:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7506, top5_acc: 0.9594, loss_cls: 3.7882, loss: 3.7882 +2025-05-30 20:51:13,145 - pyskl - INFO - Epoch [8][2100/2353] lr: 2.483e-02, eta: 1 day, 17:05:02, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.7475, top5_acc: 0.9613, loss_cls: 3.7562, loss: 3.7562 +2025-05-30 20:51:57,206 - pyskl - INFO - Epoch [8][2200/2353] lr: 2.483e-02, eta: 1 day, 17:04:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7456, top5_acc: 0.9594, loss_cls: 3.7545, loss: 3.7545 +2025-05-30 20:52:41,050 - pyskl - INFO - Epoch [8][2300/2353] lr: 2.483e-02, eta: 1 day, 17:03:24, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.7525, top5_acc: 0.9606, loss_cls: 3.7882, loss: 3.7882 +2025-05-30 20:53:05,010 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-05-30 20:54:34,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 20:54:34,317 - pyskl - INFO - +top1_acc 0.7631 +top5_acc 0.9707 +2025-05-30 20:54:34,320 - pyskl - INFO - Epoch(val) [8][1184] top1_acc: 0.7631, top5_acc: 0.9707 +2025-05-30 20:55:38,429 - pyskl - INFO - Epoch [9][100/2353] lr: 2.482e-02, eta: 1 day, 17:01:13, time: 0.641, data_time: 0.199, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9631, loss_cls: 3.5851, loss: 3.5851 +2025-05-30 20:56:22,672 - pyskl - INFO - Epoch [9][200/2353] lr: 2.482e-02, eta: 1 day, 17:00:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7675, top5_acc: 0.9600, loss_cls: 3.7619, loss: 3.7619 +2025-05-30 20:57:07,025 - pyskl - INFO - Epoch [9][300/2353] lr: 2.482e-02, eta: 1 day, 16:59:48, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7569, top5_acc: 0.9625, loss_cls: 3.6929, loss: 3.6929 +2025-05-30 20:57:51,337 - pyskl - INFO - Epoch [9][400/2353] lr: 2.482e-02, eta: 1 day, 16:59:05, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7494, top5_acc: 0.9663, loss_cls: 3.7014, loss: 3.7014 +2025-05-30 20:58:35,599 - pyskl - INFO - Epoch [9][500/2353] lr: 2.482e-02, eta: 1 day, 16:58:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9631, loss_cls: 3.6562, loss: 3.6562 +2025-05-30 20:59:19,817 - pyskl - INFO - Epoch [9][600/2353] lr: 2.481e-02, eta: 1 day, 16:57:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7619, top5_acc: 0.9581, loss_cls: 3.7038, loss: 3.7038 +2025-05-30 21:00:04,128 - pyskl - INFO - Epoch [9][700/2353] lr: 2.481e-02, eta: 1 day, 16:56:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7600, top5_acc: 0.9556, loss_cls: 3.6887, loss: 3.6887 +2025-05-30 21:00:48,392 - pyskl - INFO - Epoch [9][800/2353] lr: 2.481e-02, eta: 1 day, 16:56:12, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7662, top5_acc: 0.9581, loss_cls: 3.7776, loss: 3.7776 +2025-05-30 21:01:32,597 - pyskl - INFO - Epoch [9][900/2353] lr: 2.481e-02, eta: 1 day, 16:55:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7406, top5_acc: 0.9587, loss_cls: 3.6696, loss: 3.6696 +2025-05-30 21:02:16,797 - pyskl - INFO - Epoch [9][1000/2353] lr: 2.481e-02, eta: 1 day, 16:54:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7500, top5_acc: 0.9600, loss_cls: 3.7618, loss: 3.7618 +2025-05-30 21:03:00,941 - pyskl - INFO - Epoch [9][1100/2353] lr: 2.480e-02, eta: 1 day, 16:53:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7650, top5_acc: 0.9650, loss_cls: 3.5469, loss: 3.5469 +2025-05-30 21:03:45,117 - pyskl - INFO - Epoch [9][1200/2353] lr: 2.480e-02, eta: 1 day, 16:53:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7594, top5_acc: 0.9694, loss_cls: 3.6650, loss: 3.6650 +2025-05-30 21:04:29,292 - pyskl - INFO - Epoch [9][1300/2353] lr: 2.480e-02, eta: 1 day, 16:52:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9675, loss_cls: 3.6161, loss: 3.6161 +2025-05-30 21:05:13,456 - pyskl - INFO - Epoch [9][1400/2353] lr: 2.480e-02, eta: 1 day, 16:51:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7731, top5_acc: 0.9681, loss_cls: 3.5752, loss: 3.5752 +2025-05-30 21:05:57,626 - pyskl - INFO - Epoch [9][1500/2353] lr: 2.480e-02, eta: 1 day, 16:50:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7556, top5_acc: 0.9544, loss_cls: 3.6825, loss: 3.6825 +2025-05-30 21:06:41,877 - pyskl - INFO - Epoch [9][1600/2353] lr: 2.479e-02, eta: 1 day, 16:50:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9650, loss_cls: 3.5922, loss: 3.5922 +2025-05-30 21:07:25,894 - pyskl - INFO - Epoch [9][1700/2353] lr: 2.479e-02, eta: 1 day, 16:49:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7619, top5_acc: 0.9631, loss_cls: 3.6989, loss: 3.6989 +2025-05-30 21:08:10,459 - pyskl - INFO - Epoch [9][1800/2353] lr: 2.479e-02, eta: 1 day, 16:48:49, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.7600, top5_acc: 0.9563, loss_cls: 3.6167, loss: 3.6167 +2025-05-30 21:08:54,780 - pyskl - INFO - Epoch [9][1900/2353] lr: 2.479e-02, eta: 1 day, 16:48:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7494, top5_acc: 0.9556, loss_cls: 3.7591, loss: 3.7591 +2025-05-30 21:09:39,092 - pyskl - INFO - Epoch [9][2000/2353] lr: 2.479e-02, eta: 1 day, 16:47:24, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9631, loss_cls: 3.4388, loss: 3.4388 +2025-05-30 21:10:23,397 - pyskl - INFO - Epoch [9][2100/2353] lr: 2.478e-02, eta: 1 day, 16:46:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7619, top5_acc: 0.9669, loss_cls: 3.6088, loss: 3.6088 +2025-05-30 21:11:07,660 - pyskl - INFO - Epoch [9][2200/2353] lr: 2.478e-02, eta: 1 day, 16:45:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7812, top5_acc: 0.9606, loss_cls: 3.5448, loss: 3.5448 +2025-05-30 21:11:51,958 - pyskl - INFO - Epoch [9][2300/2353] lr: 2.478e-02, eta: 1 day, 16:45:15, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7675, top5_acc: 0.9550, loss_cls: 3.7942, loss: 3.7942 +2025-05-30 21:12:16,048 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-05-30 21:13:44,899 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 21:13:44,976 - pyskl - INFO - +top1_acc 0.8160 +top5_acc 0.9793 +2025-05-30 21:13:45,033 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_7.pth was removed +2025-05-30 21:13:46,085 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-05-30 21:13:46,086 - pyskl - INFO - Best top1_acc is 0.8160 at 9 epoch. +2025-05-30 21:13:46,089 - pyskl - INFO - Epoch(val) [9][1184] top1_acc: 0.8160, top5_acc: 0.9793 +2025-05-30 21:14:50,258 - pyskl - INFO - Epoch [10][100/2353] lr: 2.478e-02, eta: 1 day, 16:43:13, time: 0.642, data_time: 0.200, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9694, loss_cls: 3.5440, loss: 3.5440 +2025-05-30 21:15:34,453 - pyskl - INFO - Epoch [10][200/2353] lr: 2.477e-02, eta: 1 day, 16:42:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7738, top5_acc: 0.9625, loss_cls: 3.6441, loss: 3.6441 +2025-05-30 21:16:18,484 - pyskl - INFO - Epoch [10][300/2353] lr: 2.477e-02, eta: 1 day, 16:41:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7913, top5_acc: 0.9706, loss_cls: 3.5791, loss: 3.5791 +2025-05-30 21:17:02,589 - pyskl - INFO - Epoch [10][400/2353] lr: 2.477e-02, eta: 1 day, 16:40:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9769, loss_cls: 3.3513, loss: 3.3513 +2025-05-30 21:17:46,548 - pyskl - INFO - Epoch [10][500/2353] lr: 2.477e-02, eta: 1 day, 16:40:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7781, top5_acc: 0.9656, loss_cls: 3.6267, loss: 3.6267 +2025-05-30 21:18:30,530 - pyskl - INFO - Epoch [10][600/2353] lr: 2.477e-02, eta: 1 day, 16:39:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7731, top5_acc: 0.9650, loss_cls: 3.5753, loss: 3.5753 +2025-05-30 21:19:14,589 - pyskl - INFO - Epoch [10][700/2353] lr: 2.476e-02, eta: 1 day, 16:38:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7625, top5_acc: 0.9619, loss_cls: 3.5995, loss: 3.5995 +2025-05-30 21:19:58,636 - pyskl - INFO - Epoch [10][800/2353] lr: 2.476e-02, eta: 1 day, 16:37:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7569, top5_acc: 0.9625, loss_cls: 3.5634, loss: 3.5634 +2025-05-30 21:20:42,798 - pyskl - INFO - Epoch [10][900/2353] lr: 2.476e-02, eta: 1 day, 16:37:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7731, top5_acc: 0.9656, loss_cls: 3.4456, loss: 3.4456 +2025-05-30 21:21:26,968 - pyskl - INFO - Epoch [10][1000/2353] lr: 2.476e-02, eta: 1 day, 16:36:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7806, top5_acc: 0.9712, loss_cls: 3.5466, loss: 3.5466 +2025-05-30 21:22:11,109 - pyskl - INFO - Epoch [10][1100/2353] lr: 2.476e-02, eta: 1 day, 16:35:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9700, loss_cls: 3.5622, loss: 3.5622 +2025-05-30 21:22:55,185 - pyskl - INFO - Epoch [10][1200/2353] lr: 2.475e-02, eta: 1 day, 16:34:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9731, loss_cls: 3.5395, loss: 3.5395 +2025-05-30 21:23:39,232 - pyskl - INFO - Epoch [10][1300/2353] lr: 2.475e-02, eta: 1 day, 16:34:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9688, loss_cls: 3.4917, loss: 3.4917 +2025-05-30 21:24:23,294 - pyskl - INFO - Epoch [10][1400/2353] lr: 2.475e-02, eta: 1 day, 16:33:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9606, loss_cls: 3.4991, loss: 3.4991 +2025-05-30 21:25:07,384 - pyskl - INFO - Epoch [10][1500/2353] lr: 2.475e-02, eta: 1 day, 16:32:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7669, top5_acc: 0.9606, loss_cls: 3.6855, loss: 3.6855 +2025-05-30 21:25:51,353 - pyskl - INFO - Epoch [10][1600/2353] lr: 2.474e-02, eta: 1 day, 16:31:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7638, top5_acc: 0.9563, loss_cls: 3.6978, loss: 3.6978 +2025-05-30 21:26:35,552 - pyskl - INFO - Epoch [10][1700/2353] lr: 2.474e-02, eta: 1 day, 16:30:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7669, top5_acc: 0.9606, loss_cls: 3.5904, loss: 3.5904 +2025-05-30 21:27:19,542 - pyskl - INFO - Epoch [10][1800/2353] lr: 2.474e-02, eta: 1 day, 16:30:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7581, top5_acc: 0.9594, loss_cls: 3.6380, loss: 3.6380 +2025-05-30 21:28:03,504 - pyskl - INFO - Epoch [10][1900/2353] lr: 2.474e-02, eta: 1 day, 16:29:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9594, loss_cls: 3.6012, loss: 3.6012 +2025-05-30 21:28:47,413 - pyskl - INFO - Epoch [10][2000/2353] lr: 2.473e-02, eta: 1 day, 16:28:36, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9625, loss_cls: 3.5175, loss: 3.5175 +2025-05-30 21:29:31,286 - pyskl - INFO - Epoch [10][2100/2353] lr: 2.473e-02, eta: 1 day, 16:27:47, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7725, top5_acc: 0.9663, loss_cls: 3.5849, loss: 3.5849 +2025-05-30 21:30:15,144 - pyskl - INFO - Epoch [10][2200/2353] lr: 2.473e-02, eta: 1 day, 16:26:58, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7788, top5_acc: 0.9575, loss_cls: 3.6022, loss: 3.6022 +2025-05-30 21:30:58,997 - pyskl - INFO - Epoch [10][2300/2353] lr: 2.473e-02, eta: 1 day, 16:26:09, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9594, loss_cls: 3.6340, loss: 3.6340 +2025-05-30 21:31:22,690 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-05-30 21:39:56,014 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 21:39:56,089 - pyskl - INFO - +top1_acc 0.7906 +top5_acc 0.9771 +2025-05-30 21:39:56,092 - pyskl - INFO - Epoch(val) [10][1184] top1_acc: 0.7906, top5_acc: 0.9771 +2025-05-30 21:41:00,081 - pyskl - INFO - Epoch [11][100/2353] lr: 2.472e-02, eta: 1 day, 16:24:11, time: 0.640, data_time: 0.196, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9694, loss_cls: 3.4916, loss: 3.4916 +2025-05-30 21:41:44,173 - pyskl - INFO - Epoch [11][200/2353] lr: 2.472e-02, eta: 1 day, 16:23:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9719, loss_cls: 3.5549, loss: 3.5549 +2025-05-30 21:42:28,234 - pyskl - INFO - Epoch [11][300/2353] lr: 2.472e-02, eta: 1 day, 16:22:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9688, loss_cls: 3.5098, loss: 3.5098 +2025-05-30 21:43:12,268 - pyskl - INFO - Epoch [11][400/2353] lr: 2.472e-02, eta: 1 day, 16:21:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9700, loss_cls: 3.4314, loss: 3.4314 +2025-05-30 21:43:56,379 - pyskl - INFO - Epoch [11][500/2353] lr: 2.472e-02, eta: 1 day, 16:21:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7750, top5_acc: 0.9656, loss_cls: 3.4366, loss: 3.4366 +2025-05-30 21:44:40,500 - pyskl - INFO - Epoch [11][600/2353] lr: 2.471e-02, eta: 1 day, 16:20:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7719, top5_acc: 0.9581, loss_cls: 3.5982, loss: 3.5982 +2025-05-30 21:45:24,558 - pyskl - INFO - Epoch [11][700/2353] lr: 2.471e-02, eta: 1 day, 16:19:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9587, loss_cls: 3.5616, loss: 3.5616 +2025-05-30 21:46:08,690 - pyskl - INFO - Epoch [11][800/2353] lr: 2.471e-02, eta: 1 day, 16:18:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9731, loss_cls: 3.4964, loss: 3.4964 +2025-05-30 21:46:52,742 - pyskl - INFO - Epoch [11][900/2353] lr: 2.471e-02, eta: 1 day, 16:18:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9725, loss_cls: 3.3734, loss: 3.3734 +2025-05-30 21:47:36,843 - pyskl - INFO - Epoch [11][1000/2353] lr: 2.470e-02, eta: 1 day, 16:17:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9675, loss_cls: 3.4635, loss: 3.4635 +2025-05-30 21:48:20,974 - pyskl - INFO - Epoch [11][1100/2353] lr: 2.470e-02, eta: 1 day, 16:16:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9600, loss_cls: 3.5251, loss: 3.5251 +2025-05-30 21:49:05,097 - pyskl - INFO - Epoch [11][1200/2353] lr: 2.470e-02, eta: 1 day, 16:15:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9700, loss_cls: 3.4927, loss: 3.4927 +2025-05-30 21:49:49,192 - pyskl - INFO - Epoch [11][1300/2353] lr: 2.470e-02, eta: 1 day, 16:15:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9650, loss_cls: 3.4738, loss: 3.4738 +2025-05-30 21:50:33,243 - pyskl - INFO - Epoch [11][1400/2353] lr: 2.469e-02, eta: 1 day, 16:14:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7644, top5_acc: 0.9669, loss_cls: 3.5653, loss: 3.5653 +2025-05-30 21:51:17,342 - pyskl - INFO - Epoch [11][1500/2353] lr: 2.469e-02, eta: 1 day, 16:13:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9656, loss_cls: 3.4817, loss: 3.4817 +2025-05-30 21:52:01,580 - pyskl - INFO - Epoch [11][1600/2353] lr: 2.469e-02, eta: 1 day, 16:12:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9663, loss_cls: 3.4192, loss: 3.4192 +2025-05-30 21:52:45,761 - pyskl - INFO - Epoch [11][1700/2353] lr: 2.469e-02, eta: 1 day, 16:12:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9625, loss_cls: 3.5175, loss: 3.5175 +2025-05-30 21:53:29,940 - pyskl - INFO - Epoch [11][1800/2353] lr: 2.468e-02, eta: 1 day, 16:11:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9719, loss_cls: 3.4431, loss: 3.4431 +2025-05-30 21:54:14,092 - pyskl - INFO - Epoch [11][1900/2353] lr: 2.468e-02, eta: 1 day, 16:10:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9631, loss_cls: 3.5408, loss: 3.5408 +2025-05-30 21:54:58,158 - pyskl - INFO - Epoch [11][2000/2353] lr: 2.468e-02, eta: 1 day, 16:09:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9625, loss_cls: 3.5403, loss: 3.5403 +2025-05-30 21:55:42,244 - pyskl - INFO - Epoch [11][2100/2353] lr: 2.468e-02, eta: 1 day, 16:09:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9637, loss_cls: 3.5538, loss: 3.5538 +2025-05-30 21:56:26,376 - pyskl - INFO - Epoch [11][2200/2353] lr: 2.467e-02, eta: 1 day, 16:08:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9625, loss_cls: 3.5156, loss: 3.5156 +2025-05-30 21:57:10,525 - pyskl - INFO - Epoch [11][2300/2353] lr: 2.467e-02, eta: 1 day, 16:07:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7806, top5_acc: 0.9613, loss_cls: 3.4923, loss: 3.4923 +2025-05-30 21:57:34,460 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-05-30 21:59:03,647 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 21:59:03,724 - pyskl - INFO - +top1_acc 0.7927 +top5_acc 0.9707 +2025-05-30 21:59:03,727 - pyskl - INFO - Epoch(val) [11][1184] top1_acc: 0.7927, top5_acc: 0.9707 +2025-05-30 22:00:08,300 - pyskl - INFO - Epoch [12][100/2353] lr: 2.467e-02, eta: 1 day, 16:05:59, time: 0.646, data_time: 0.203, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9712, loss_cls: 3.3615, loss: 3.3615 +2025-05-30 22:00:52,226 - pyskl - INFO - Epoch [12][200/2353] lr: 2.466e-02, eta: 1 day, 16:05:12, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9762, loss_cls: 3.3206, loss: 3.3206 +2025-05-30 22:01:36,357 - pyskl - INFO - Epoch [12][300/2353] lr: 2.466e-02, eta: 1 day, 16:04:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9712, loss_cls: 3.5139, loss: 3.5139 +2025-05-30 22:02:20,533 - pyskl - INFO - Epoch [12][400/2353] lr: 2.466e-02, eta: 1 day, 16:03:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9600, loss_cls: 3.5111, loss: 3.5111 +2025-05-30 22:03:04,809 - pyskl - INFO - Epoch [12][500/2353] lr: 2.466e-02, eta: 1 day, 16:03:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9706, loss_cls: 3.5177, loss: 3.5177 +2025-05-30 22:03:48,958 - pyskl - INFO - Epoch [12][600/2353] lr: 2.465e-02, eta: 1 day, 16:02:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9644, loss_cls: 3.5012, loss: 3.5012 +2025-05-30 22:04:33,212 - pyskl - INFO - Epoch [12][700/2353] lr: 2.465e-02, eta: 1 day, 16:01:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9669, loss_cls: 3.3782, loss: 3.3782 +2025-05-30 22:05:17,403 - pyskl - INFO - Epoch [12][800/2353] lr: 2.465e-02, eta: 1 day, 16:00:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9650, loss_cls: 3.4972, loss: 3.4972 +2025-05-30 22:06:01,554 - pyskl - INFO - Epoch [12][900/2353] lr: 2.465e-02, eta: 1 day, 16:00:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9700, loss_cls: 3.4248, loss: 3.4248 +2025-05-30 22:06:45,786 - pyskl - INFO - Epoch [12][1000/2353] lr: 2.464e-02, eta: 1 day, 15:59:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7650, top5_acc: 0.9606, loss_cls: 3.5403, loss: 3.5403 +2025-05-30 22:07:30,097 - pyskl - INFO - Epoch [12][1100/2353] lr: 2.464e-02, eta: 1 day, 15:58:40, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9694, loss_cls: 3.3609, loss: 3.3609 +2025-05-30 22:08:14,257 - pyskl - INFO - Epoch [12][1200/2353] lr: 2.464e-02, eta: 1 day, 15:57:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9681, loss_cls: 3.4442, loss: 3.4442 +2025-05-30 22:08:58,640 - pyskl - INFO - Epoch [12][1300/2353] lr: 2.464e-02, eta: 1 day, 15:57:15, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9644, loss_cls: 3.4645, loss: 3.4645 +2025-05-30 22:09:42,940 - pyskl - INFO - Epoch [12][1400/2353] lr: 2.463e-02, eta: 1 day, 15:56:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9738, loss_cls: 3.3370, loss: 3.3370 +2025-05-30 22:10:27,377 - pyskl - INFO - Epoch [12][1500/2353] lr: 2.463e-02, eta: 1 day, 15:55:52, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9650, loss_cls: 3.4380, loss: 3.4380 +2025-05-30 22:11:11,826 - pyskl - INFO - Epoch [12][1600/2353] lr: 2.463e-02, eta: 1 day, 15:55:11, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9719, loss_cls: 3.4440, loss: 3.4440 +2025-05-30 22:11:56,307 - pyskl - INFO - Epoch [12][1700/2353] lr: 2.463e-02, eta: 1 day, 15:54:31, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9688, loss_cls: 3.3343, loss: 3.3343 +2025-05-30 22:12:40,674 - pyskl - INFO - Epoch [12][1800/2353] lr: 2.462e-02, eta: 1 day, 15:53:49, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9637, loss_cls: 3.5216, loss: 3.5216 +2025-05-30 22:13:24,959 - pyskl - INFO - Epoch [12][1900/2353] lr: 2.462e-02, eta: 1 day, 15:53:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9725, loss_cls: 3.3649, loss: 3.3649 +2025-05-30 22:14:09,300 - pyskl - INFO - Epoch [12][2000/2353] lr: 2.462e-02, eta: 1 day, 15:52:24, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9731, loss_cls: 3.3278, loss: 3.3278 +2025-05-30 22:14:53,616 - pyskl - INFO - Epoch [12][2100/2353] lr: 2.461e-02, eta: 1 day, 15:51:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9719, loss_cls: 3.3697, loss: 3.3697 +2025-05-30 22:15:37,961 - pyskl - INFO - Epoch [12][2200/2353] lr: 2.461e-02, eta: 1 day, 15:51:00, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9681, loss_cls: 3.4039, loss: 3.4039 +2025-05-30 22:16:22,296 - pyskl - INFO - Epoch [12][2300/2353] lr: 2.461e-02, eta: 1 day, 15:50:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7913, top5_acc: 0.9663, loss_cls: 3.3992, loss: 3.3992 +2025-05-30 22:16:46,310 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-05-30 22:18:15,427 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 22:18:15,504 - pyskl - INFO - +top1_acc 0.8306 +top5_acc 0.9837 +2025-05-30 22:18:15,558 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_9.pth was removed +2025-05-30 22:18:16,614 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-05-30 22:18:16,615 - pyskl - INFO - Best top1_acc is 0.8306 at 12 epoch. +2025-05-30 22:18:16,618 - pyskl - INFO - Epoch(val) [12][1184] top1_acc: 0.8306, top5_acc: 0.9837 +2025-05-30 22:19:20,928 - pyskl - INFO - Epoch [13][100/2353] lr: 2.460e-02, eta: 1 day, 15:48:33, time: 0.643, data_time: 0.201, memory: 13127, top1_acc: 0.7819, top5_acc: 0.9731, loss_cls: 3.3353, loss: 3.3353 +2025-05-30 22:20:05,024 - pyskl - INFO - Epoch [13][200/2353] lr: 2.460e-02, eta: 1 day, 15:47:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9712, loss_cls: 3.3246, loss: 3.3246 +2025-05-30 22:20:49,093 - pyskl - INFO - Epoch [13][300/2353] lr: 2.460e-02, eta: 1 day, 15:47:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9694, loss_cls: 3.4147, loss: 3.4147 +2025-05-30 22:21:33,187 - pyskl - INFO - Epoch [13][400/2353] lr: 2.460e-02, eta: 1 day, 15:46:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9706, loss_cls: 3.4448, loss: 3.4448 +2025-05-30 22:22:17,393 - pyskl - INFO - Epoch [13][500/2353] lr: 2.459e-02, eta: 1 day, 15:45:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9731, loss_cls: 3.3773, loss: 3.3773 +2025-05-30 22:23:01,551 - pyskl - INFO - Epoch [13][600/2353] lr: 2.459e-02, eta: 1 day, 15:44:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9644, loss_cls: 3.3933, loss: 3.3933 +2025-05-30 22:23:45,684 - pyskl - INFO - Epoch [13][700/2353] lr: 2.459e-02, eta: 1 day, 15:44:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9613, loss_cls: 3.4247, loss: 3.4247 +2025-05-30 22:24:29,737 - pyskl - INFO - Epoch [13][800/2353] lr: 2.458e-02, eta: 1 day, 15:43:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9694, loss_cls: 3.3064, loss: 3.3064 +2025-05-30 22:25:13,869 - pyskl - INFO - Epoch [13][900/2353] lr: 2.458e-02, eta: 1 day, 15:42:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9731, loss_cls: 3.2462, loss: 3.2462 +2025-05-30 22:25:57,909 - pyskl - INFO - Epoch [13][1000/2353] lr: 2.458e-02, eta: 1 day, 15:41:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9750, loss_cls: 3.4279, loss: 3.4279 +2025-05-30 22:26:42,077 - pyskl - INFO - Epoch [13][1100/2353] lr: 2.458e-02, eta: 1 day, 15:41:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9637, loss_cls: 3.3373, loss: 3.3373 +2025-05-30 22:27:26,249 - pyskl - INFO - Epoch [13][1200/2353] lr: 2.457e-02, eta: 1 day, 15:40:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9725, loss_cls: 3.4286, loss: 3.4286 +2025-05-30 22:28:10,352 - pyskl - INFO - Epoch [13][1300/2353] lr: 2.457e-02, eta: 1 day, 15:39:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9719, loss_cls: 3.4223, loss: 3.4223 +2025-05-30 22:28:54,509 - pyskl - INFO - Epoch [13][1400/2353] lr: 2.457e-02, eta: 1 day, 15:38:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9750, loss_cls: 3.3703, loss: 3.3703 +2025-05-30 22:29:38,761 - pyskl - INFO - Epoch [13][1500/2353] lr: 2.456e-02, eta: 1 day, 15:38:12, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9675, loss_cls: 3.4125, loss: 3.4125 +2025-05-30 22:30:23,081 - pyskl - INFO - Epoch [13][1600/2353] lr: 2.456e-02, eta: 1 day, 15:37:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9769, loss_cls: 3.3626, loss: 3.3626 +2025-05-30 22:31:07,330 - pyskl - INFO - Epoch [13][1700/2353] lr: 2.456e-02, eta: 1 day, 15:36:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9738, loss_cls: 3.3168, loss: 3.3168 +2025-05-30 22:31:51,448 - pyskl - INFO - Epoch [13][1800/2353] lr: 2.456e-02, eta: 1 day, 15:36:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9675, loss_cls: 3.4306, loss: 3.4306 +2025-05-30 22:32:35,575 - pyskl - INFO - Epoch [13][1900/2353] lr: 2.455e-02, eta: 1 day, 15:35:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9712, loss_cls: 3.4193, loss: 3.4193 +2025-05-30 22:33:19,676 - pyskl - INFO - Epoch [13][2000/2353] lr: 2.455e-02, eta: 1 day, 15:34:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9656, loss_cls: 3.2560, loss: 3.2560 +2025-05-30 22:34:03,812 - pyskl - INFO - Epoch [13][2100/2353] lr: 2.455e-02, eta: 1 day, 15:33:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9656, loss_cls: 3.4366, loss: 3.4366 +2025-05-30 22:34:47,960 - pyskl - INFO - Epoch [13][2200/2353] lr: 2.454e-02, eta: 1 day, 15:33:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9706, loss_cls: 3.2233, loss: 3.2233 +2025-05-30 22:35:32,346 - pyskl - INFO - Epoch [13][2300/2353] lr: 2.454e-02, eta: 1 day, 15:32:23, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9606, loss_cls: 3.3943, loss: 3.3943 +2025-05-30 22:35:56,408 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-05-30 22:37:26,349 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 22:37:26,426 - pyskl - INFO - +top1_acc 0.8320 +top5_acc 0.9815 +2025-05-30 22:37:26,485 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_12.pth was removed +2025-05-30 22:37:27,555 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. +2025-05-30 22:37:27,555 - pyskl - INFO - Best top1_acc is 0.8320 at 13 epoch. +2025-05-30 22:37:27,559 - pyskl - INFO - Epoch(val) [13][1184] top1_acc: 0.8320, top5_acc: 0.9815 +2025-05-30 22:38:31,856 - pyskl - INFO - Epoch [14][100/2353] lr: 2.454e-02, eta: 1 day, 15:30:41, time: 0.643, data_time: 0.201, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9694, loss_cls: 3.3381, loss: 3.3381 +2025-05-30 22:39:16,044 - pyskl - INFO - Epoch [14][200/2353] lr: 2.453e-02, eta: 1 day, 15:29:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9769, loss_cls: 3.3556, loss: 3.3556 +2025-05-30 22:40:00,100 - pyskl - INFO - Epoch [14][300/2353] lr: 2.453e-02, eta: 1 day, 15:29:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9731, loss_cls: 3.2731, loss: 3.2731 +2025-05-30 22:40:44,154 - pyskl - INFO - Epoch [14][400/2353] lr: 2.453e-02, eta: 1 day, 15:28:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9794, loss_cls: 3.2269, loss: 3.2269 +2025-05-30 22:41:28,234 - pyskl - INFO - Epoch [14][500/2353] lr: 2.452e-02, eta: 1 day, 15:27:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9681, loss_cls: 3.3244, loss: 3.3244 +2025-05-30 22:42:12,304 - pyskl - INFO - Epoch [14][600/2353] lr: 2.452e-02, eta: 1 day, 15:26:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9663, loss_cls: 3.2752, loss: 3.2752 +2025-05-30 22:42:56,344 - pyskl - INFO - Epoch [14][700/2353] lr: 2.452e-02, eta: 1 day, 15:26:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9725, loss_cls: 3.3108, loss: 3.3108 +2025-05-30 22:43:40,398 - pyskl - INFO - Epoch [14][800/2353] lr: 2.452e-02, eta: 1 day, 15:25:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9762, loss_cls: 3.1995, loss: 3.1995 +2025-05-30 22:44:24,533 - pyskl - INFO - Epoch [14][900/2353] lr: 2.451e-02, eta: 1 day, 15:24:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7819, top5_acc: 0.9613, loss_cls: 3.5090, loss: 3.5090 +2025-05-30 22:45:08,596 - pyskl - INFO - Epoch [14][1000/2353] lr: 2.451e-02, eta: 1 day, 15:23:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9675, loss_cls: 3.3952, loss: 3.3952 +2025-05-30 22:45:52,687 - pyskl - INFO - Epoch [14][1100/2353] lr: 2.451e-02, eta: 1 day, 15:23:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9738, loss_cls: 3.3725, loss: 3.3725 +2025-05-30 22:46:36,751 - pyskl - INFO - Epoch [14][1200/2353] lr: 2.450e-02, eta: 1 day, 15:22:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9731, loss_cls: 3.3332, loss: 3.3332 +2025-05-30 22:47:20,847 - pyskl - INFO - Epoch [14][1300/2353] lr: 2.450e-02, eta: 1 day, 15:21:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9706, loss_cls: 3.3698, loss: 3.3698 +2025-05-30 22:48:05,140 - pyskl - INFO - Epoch [14][1400/2353] lr: 2.450e-02, eta: 1 day, 15:21:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8063, top5_acc: 0.9706, loss_cls: 3.2409, loss: 3.2409 +2025-05-30 22:48:49,380 - pyskl - INFO - Epoch [14][1500/2353] lr: 2.449e-02, eta: 1 day, 15:20:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9731, loss_cls: 3.3587, loss: 3.3587 +2025-05-30 22:49:33,632 - pyskl - INFO - Epoch [14][1600/2353] lr: 2.449e-02, eta: 1 day, 15:19:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9681, loss_cls: 3.3977, loss: 3.3977 +2025-05-30 22:50:17,750 - pyskl - INFO - Epoch [14][1700/2353] lr: 2.449e-02, eta: 1 day, 15:18:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9625, loss_cls: 3.4252, loss: 3.4252 +2025-05-30 22:51:02,000 - pyskl - INFO - Epoch [14][1800/2353] lr: 2.448e-02, eta: 1 day, 15:18:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9731, loss_cls: 3.2811, loss: 3.2811 +2025-05-30 22:51:46,088 - pyskl - INFO - Epoch [14][1900/2353] lr: 2.448e-02, eta: 1 day, 15:17:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9725, loss_cls: 3.3167, loss: 3.3167 +2025-05-30 22:52:30,272 - pyskl - INFO - Epoch [14][2000/2353] lr: 2.448e-02, eta: 1 day, 15:16:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9731, loss_cls: 3.2579, loss: 3.2579 +2025-05-30 22:53:14,397 - pyskl - INFO - Epoch [14][2100/2353] lr: 2.447e-02, eta: 1 day, 15:15:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9644, loss_cls: 3.4383, loss: 3.4383 +2025-05-30 22:53:58,545 - pyskl - INFO - Epoch [14][2200/2353] lr: 2.447e-02, eta: 1 day, 15:15:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9706, loss_cls: 3.3861, loss: 3.3861 +2025-05-30 22:54:42,696 - pyskl - INFO - Epoch [14][2300/2353] lr: 2.447e-02, eta: 1 day, 15:14:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9756, loss_cls: 3.2998, loss: 3.2998 +2025-05-30 22:55:06,679 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-05-30 22:56:35,782 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 22:56:35,859 - pyskl - INFO - +top1_acc 0.8101 +top5_acc 0.9789 +2025-05-30 22:56:35,862 - pyskl - INFO - Epoch(val) [14][1184] top1_acc: 0.8101, top5_acc: 0.9789 +2025-05-30 22:57:40,369 - pyskl - INFO - Epoch [15][100/2353] lr: 2.446e-02, eta: 1 day, 15:12:51, time: 0.645, data_time: 0.202, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9706, loss_cls: 3.2601, loss: 3.2601 +2025-05-30 22:58:24,721 - pyskl - INFO - Epoch [15][200/2353] lr: 2.446e-02, eta: 1 day, 15:12:09, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9794, loss_cls: 3.1139, loss: 3.1139 +2025-05-30 22:59:09,077 - pyskl - INFO - Epoch [15][300/2353] lr: 2.446e-02, eta: 1 day, 15:11:27, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9694, loss_cls: 3.2128, loss: 3.2128 +2025-05-30 22:59:53,525 - pyskl - INFO - Epoch [15][400/2353] lr: 2.445e-02, eta: 1 day, 15:10:46, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9681, loss_cls: 3.2751, loss: 3.2751 +2025-05-30 23:00:37,873 - pyskl - INFO - Epoch [15][500/2353] lr: 2.445e-02, eta: 1 day, 15:10:04, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9700, loss_cls: 3.2579, loss: 3.2579 +2025-05-30 23:01:22,264 - pyskl - INFO - Epoch [15][600/2353] lr: 2.445e-02, eta: 1 day, 15:09:23, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9756, loss_cls: 3.3048, loss: 3.3048 +2025-05-30 23:02:06,616 - pyskl - INFO - Epoch [15][700/2353] lr: 2.444e-02, eta: 1 day, 15:08:41, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9738, loss_cls: 3.3025, loss: 3.3025 +2025-05-30 23:02:50,917 - pyskl - INFO - Epoch [15][800/2353] lr: 2.444e-02, eta: 1 day, 15:07:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9731, loss_cls: 3.3150, loss: 3.3150 +2025-05-30 23:03:35,316 - pyskl - INFO - Epoch [15][900/2353] lr: 2.444e-02, eta: 1 day, 15:07:16, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9694, loss_cls: 3.3239, loss: 3.3239 +2025-05-30 23:04:19,585 - pyskl - INFO - Epoch [15][1000/2353] lr: 2.443e-02, eta: 1 day, 15:06:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9669, loss_cls: 3.2674, loss: 3.2674 +2025-05-30 23:05:03,877 - pyskl - INFO - Epoch [15][1100/2353] lr: 2.443e-02, eta: 1 day, 15:05:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9688, loss_cls: 3.3353, loss: 3.3353 +2025-05-30 23:05:48,128 - pyskl - INFO - Epoch [15][1200/2353] lr: 2.443e-02, eta: 1 day, 15:05:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9744, loss_cls: 3.3251, loss: 3.3251 +2025-05-30 23:06:32,621 - pyskl - INFO - Epoch [15][1300/2353] lr: 2.442e-02, eta: 1 day, 15:04:27, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9613, loss_cls: 3.4080, loss: 3.4080 +2025-05-30 23:07:16,940 - pyskl - INFO - Epoch [15][1400/2353] lr: 2.442e-02, eta: 1 day, 15:03:44, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9694, loss_cls: 3.2950, loss: 3.2950 +2025-05-30 23:08:01,254 - pyskl - INFO - Epoch [15][1500/2353] lr: 2.442e-02, eta: 1 day, 15:03:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9750, loss_cls: 3.3597, loss: 3.3597 +2025-05-30 23:08:45,520 - pyskl - INFO - Epoch [15][1600/2353] lr: 2.441e-02, eta: 1 day, 15:02:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9712, loss_cls: 3.2708, loss: 3.2708 +2025-05-30 23:09:29,642 - pyskl - INFO - Epoch [15][1700/2353] lr: 2.441e-02, eta: 1 day, 15:01:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9706, loss_cls: 3.2718, loss: 3.2718 +2025-05-30 23:10:13,806 - pyskl - INFO - Epoch [15][1800/2353] lr: 2.441e-02, eta: 1 day, 15:00:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9650, loss_cls: 3.3751, loss: 3.3751 +2025-05-30 23:10:57,978 - pyskl - INFO - Epoch [15][1900/2353] lr: 2.440e-02, eta: 1 day, 15:00:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9694, loss_cls: 3.2774, loss: 3.2774 +2025-05-30 23:11:42,115 - pyskl - INFO - Epoch [15][2000/2353] lr: 2.440e-02, eta: 1 day, 14:59:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9700, loss_cls: 3.3498, loss: 3.3498 +2025-05-30 23:12:26,172 - pyskl - INFO - Epoch [15][2100/2353] lr: 2.440e-02, eta: 1 day, 14:58:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9656, loss_cls: 3.3776, loss: 3.3776 +2025-05-30 23:13:10,258 - pyskl - INFO - Epoch [15][2200/2353] lr: 2.439e-02, eta: 1 day, 14:57:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9738, loss_cls: 3.2783, loss: 3.2783 +2025-05-30 23:13:54,538 - pyskl - INFO - Epoch [15][2300/2353] lr: 2.439e-02, eta: 1 day, 14:57:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9712, loss_cls: 3.2449, loss: 3.2449 +2025-05-30 23:14:18,622 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-05-30 23:22:58,947 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 23:22:59,024 - pyskl - INFO - +top1_acc 0.8176 +top5_acc 0.9796 +2025-05-30 23:22:59,027 - pyskl - INFO - Epoch(val) [15][1184] top1_acc: 0.8176, top5_acc: 0.9796 +2025-05-30 23:24:02,986 - pyskl - INFO - Epoch [16][100/2353] lr: 2.438e-02, eta: 1 day, 14:55:31, time: 0.640, data_time: 0.199, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9769, loss_cls: 3.1888, loss: 3.1888 +2025-05-30 23:24:47,085 - pyskl - INFO - Epoch [16][200/2353] lr: 2.438e-02, eta: 1 day, 14:54:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9781, loss_cls: 3.2387, loss: 3.2387 +2025-05-30 23:25:31,090 - pyskl - INFO - Epoch [16][300/2353] lr: 2.438e-02, eta: 1 day, 14:54:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9706, loss_cls: 3.2601, loss: 3.2601 +2025-05-30 23:26:15,090 - pyskl - INFO - Epoch [16][400/2353] lr: 2.437e-02, eta: 1 day, 14:53:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9756, loss_cls: 3.1407, loss: 3.1407 +2025-05-30 23:26:59,044 - pyskl - INFO - Epoch [16][500/2353] lr: 2.437e-02, eta: 1 day, 14:52:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9688, loss_cls: 3.2605, loss: 3.2605 +2025-05-30 23:27:43,135 - pyskl - INFO - Epoch [16][600/2353] lr: 2.437e-02, eta: 1 day, 14:51:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9650, loss_cls: 3.3747, loss: 3.3747 +2025-05-30 23:28:27,524 - pyskl - INFO - Epoch [16][700/2353] lr: 2.436e-02, eta: 1 day, 14:51:04, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9712, loss_cls: 3.1486, loss: 3.1486 +2025-05-30 23:29:11,712 - pyskl - INFO - Epoch [16][800/2353] lr: 2.436e-02, eta: 1 day, 14:50:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9694, loss_cls: 3.2333, loss: 3.2333 +2025-05-30 23:29:55,739 - pyskl - INFO - Epoch [16][900/2353] lr: 2.436e-02, eta: 1 day, 14:49:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9738, loss_cls: 3.3144, loss: 3.3144 +2025-05-30 23:30:39,762 - pyskl - INFO - Epoch [16][1000/2353] lr: 2.435e-02, eta: 1 day, 14:48:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9675, loss_cls: 3.3193, loss: 3.3193 +2025-05-30 23:31:23,728 - pyskl - INFO - Epoch [16][1100/2353] lr: 2.435e-02, eta: 1 day, 14:48:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9706, loss_cls: 3.2640, loss: 3.2640 +2025-05-30 23:32:08,077 - pyskl - INFO - Epoch [16][1200/2353] lr: 2.435e-02, eta: 1 day, 14:47:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9719, loss_cls: 3.3570, loss: 3.3570 +2025-05-30 23:32:52,408 - pyskl - INFO - Epoch [16][1300/2353] lr: 2.434e-02, eta: 1 day, 14:46:40, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9706, loss_cls: 3.1883, loss: 3.1883 +2025-05-30 23:33:36,972 - pyskl - INFO - Epoch [16][1400/2353] lr: 2.434e-02, eta: 1 day, 14:46:00, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9725, loss_cls: 3.2410, loss: 3.2410 +2025-05-30 23:34:21,349 - pyskl - INFO - Epoch [16][1500/2353] lr: 2.434e-02, eta: 1 day, 14:45:18, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9712, loss_cls: 3.2386, loss: 3.2386 +2025-05-30 23:35:05,385 - pyskl - INFO - Epoch [16][1600/2353] lr: 2.433e-02, eta: 1 day, 14:44:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9706, loss_cls: 3.3610, loss: 3.3610 +2025-05-30 23:35:49,368 - pyskl - INFO - Epoch [16][1700/2353] lr: 2.433e-02, eta: 1 day, 14:43:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9700, loss_cls: 3.2701, loss: 3.2701 +2025-05-30 23:36:33,451 - pyskl - INFO - Epoch [16][1800/2353] lr: 2.432e-02, eta: 1 day, 14:43:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9731, loss_cls: 3.2742, loss: 3.2742 +2025-05-30 23:37:17,636 - pyskl - INFO - Epoch [16][1900/2353] lr: 2.432e-02, eta: 1 day, 14:42:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9712, loss_cls: 3.2510, loss: 3.2510 +2025-05-30 23:38:01,760 - pyskl - INFO - Epoch [16][2000/2353] lr: 2.432e-02, eta: 1 day, 14:41:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9738, loss_cls: 3.2776, loss: 3.2776 +2025-05-30 23:38:45,937 - pyskl - INFO - Epoch [16][2100/2353] lr: 2.431e-02, eta: 1 day, 14:40:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9769, loss_cls: 3.1547, loss: 3.1547 +2025-05-30 23:39:30,022 - pyskl - INFO - Epoch [16][2200/2353] lr: 2.431e-02, eta: 1 day, 14:40:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9794, loss_cls: 3.2550, loss: 3.2550 +2025-05-30 23:40:14,125 - pyskl - INFO - Epoch [16][2300/2353] lr: 2.431e-02, eta: 1 day, 14:39:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9619, loss_cls: 3.4158, loss: 3.4158 +2025-05-30 23:40:38,077 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-05-30 23:42:07,417 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-30 23:42:07,494 - pyskl - INFO - +top1_acc 0.8486 +top5_acc 0.9840 +2025-05-30 23:42:07,550 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_13.pth was removed +2025-05-30 23:42:08,616 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. +2025-05-30 23:42:08,617 - pyskl - INFO - Best top1_acc is 0.8486 at 16 epoch. +2025-05-30 23:42:08,620 - pyskl - INFO - Epoch(val) [16][1184] top1_acc: 0.8486, top5_acc: 0.9840 +2025-05-30 23:43:12,618 - pyskl - INFO - Epoch [17][100/2353] lr: 2.430e-02, eta: 1 day, 14:37:46, time: 0.640, data_time: 0.198, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9712, loss_cls: 3.1635, loss: 3.1635 +2025-05-30 23:43:57,016 - pyskl - INFO - Epoch [17][200/2353] lr: 2.430e-02, eta: 1 day, 14:37:04, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9781, loss_cls: 3.1417, loss: 3.1417 +2025-05-30 23:44:41,369 - pyskl - INFO - Epoch [17][300/2353] lr: 2.429e-02, eta: 1 day, 14:36:22, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9769, loss_cls: 3.1507, loss: 3.1507 +2025-05-30 23:45:25,753 - pyskl - INFO - Epoch [17][400/2353] lr: 2.429e-02, eta: 1 day, 14:35:40, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9756, loss_cls: 3.1282, loss: 3.1282 +2025-05-30 23:46:10,211 - pyskl - INFO - Epoch [17][500/2353] lr: 2.429e-02, eta: 1 day, 14:34:58, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9631, loss_cls: 3.3147, loss: 3.3147 +2025-05-30 23:46:54,627 - pyskl - INFO - Epoch [17][600/2353] lr: 2.428e-02, eta: 1 day, 14:34:17, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9719, loss_cls: 3.2810, loss: 3.2810 +2025-05-30 23:47:38,981 - pyskl - INFO - Epoch [17][700/2353] lr: 2.428e-02, eta: 1 day, 14:33:34, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9706, loss_cls: 3.2153, loss: 3.2153 +2025-05-30 23:48:23,362 - pyskl - INFO - Epoch [17][800/2353] lr: 2.428e-02, eta: 1 day, 14:32:52, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9744, loss_cls: 3.2913, loss: 3.2913 +2025-05-30 23:49:07,705 - pyskl - INFO - Epoch [17][900/2353] lr: 2.427e-02, eta: 1 day, 14:32:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9731, loss_cls: 3.1896, loss: 3.1896 +2025-05-30 23:49:52,036 - pyskl - INFO - Epoch [17][1000/2353] lr: 2.427e-02, eta: 1 day, 14:31:28, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9750, loss_cls: 3.2615, loss: 3.2615 +2025-05-30 23:50:36,497 - pyskl - INFO - Epoch [17][1100/2353] lr: 2.426e-02, eta: 1 day, 14:30:46, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9706, loss_cls: 3.2784, loss: 3.2784 +2025-05-30 23:51:20,917 - pyskl - INFO - Epoch [17][1200/2353] lr: 2.426e-02, eta: 1 day, 14:30:04, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9738, loss_cls: 3.2668, loss: 3.2668 +2025-05-30 23:52:05,477 - pyskl - INFO - Epoch [17][1300/2353] lr: 2.426e-02, eta: 1 day, 14:29:24, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9731, loss_cls: 3.2385, loss: 3.2385 +2025-05-30 23:52:49,905 - pyskl - INFO - Epoch [17][1400/2353] lr: 2.425e-02, eta: 1 day, 14:28:42, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9656, loss_cls: 3.2243, loss: 3.2243 +2025-05-30 23:53:34,241 - pyskl - INFO - Epoch [17][1500/2353] lr: 2.425e-02, eta: 1 day, 14:28:00, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9694, loss_cls: 3.2468, loss: 3.2468 +2025-05-30 23:54:18,595 - pyskl - INFO - Epoch [17][1600/2353] lr: 2.425e-02, eta: 1 day, 14:27:17, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9719, loss_cls: 3.2006, loss: 3.2006 +2025-05-30 23:55:02,905 - pyskl - INFO - Epoch [17][1700/2353] lr: 2.424e-02, eta: 1 day, 14:26:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9694, loss_cls: 3.2366, loss: 3.2366 +2025-05-30 23:55:47,231 - pyskl - INFO - Epoch [17][1800/2353] lr: 2.424e-02, eta: 1 day, 14:25:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9694, loss_cls: 3.2231, loss: 3.2231 +2025-05-30 23:56:31,604 - pyskl - INFO - Epoch [17][1900/2353] lr: 2.423e-02, eta: 1 day, 14:25:10, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9756, loss_cls: 3.1659, loss: 3.1659 +2025-05-30 23:57:15,956 - pyskl - INFO - Epoch [17][2000/2353] lr: 2.423e-02, eta: 1 day, 14:24:27, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9688, loss_cls: 3.3579, loss: 3.3579 +2025-05-30 23:58:00,331 - pyskl - INFO - Epoch [17][2100/2353] lr: 2.423e-02, eta: 1 day, 14:23:45, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9725, loss_cls: 3.2626, loss: 3.2626 +2025-05-30 23:58:44,659 - pyskl - INFO - Epoch [17][2200/2353] lr: 2.422e-02, eta: 1 day, 14:23:03, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9844, loss_cls: 3.1796, loss: 3.1796 +2025-05-30 23:59:29,021 - pyskl - INFO - Epoch [17][2300/2353] lr: 2.422e-02, eta: 1 day, 14:22:20, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9744, loss_cls: 3.2497, loss: 3.2497 +2025-05-30 23:59:53,077 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-05-31 00:01:21,803 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 00:01:21,881 - pyskl - INFO - +top1_acc 0.8616 +top5_acc 0.9870 +2025-05-31 00:01:21,936 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_16.pth was removed +2025-05-31 00:01:23,120 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. +2025-05-31 00:01:23,120 - pyskl - INFO - Best top1_acc is 0.8616 at 17 epoch. +2025-05-31 00:01:23,123 - pyskl - INFO - Epoch(val) [17][1184] top1_acc: 0.8616, top5_acc: 0.9870 +2025-05-31 00:02:27,569 - pyskl - INFO - Epoch [18][100/2353] lr: 2.421e-02, eta: 1 day, 14:20:49, time: 0.644, data_time: 0.202, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9762, loss_cls: 3.1028, loss: 3.1028 +2025-05-31 00:03:11,760 - pyskl - INFO - Epoch [18][200/2353] lr: 2.421e-02, eta: 1 day, 14:20:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9731, loss_cls: 3.2708, loss: 3.2708 +2025-05-31 00:03:56,053 - pyskl - INFO - Epoch [18][300/2353] lr: 2.420e-02, eta: 1 day, 14:19:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9700, loss_cls: 3.1940, loss: 3.1940 +2025-05-31 00:04:40,293 - pyskl - INFO - Epoch [18][400/2353] lr: 2.420e-02, eta: 1 day, 14:18:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9775, loss_cls: 3.1531, loss: 3.1531 +2025-05-31 00:05:24,512 - pyskl - INFO - Epoch [18][500/2353] lr: 2.420e-02, eta: 1 day, 14:17:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9788, loss_cls: 3.1088, loss: 3.1088 +2025-05-31 00:06:08,682 - pyskl - INFO - Epoch [18][600/2353] lr: 2.419e-02, eta: 1 day, 14:17:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9744, loss_cls: 3.2117, loss: 3.2117 +2025-05-31 00:06:52,870 - pyskl - INFO - Epoch [18][700/2353] lr: 2.419e-02, eta: 1 day, 14:16:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9694, loss_cls: 3.1777, loss: 3.1777 +2025-05-31 00:07:37,050 - pyskl - INFO - Epoch [18][800/2353] lr: 2.418e-02, eta: 1 day, 14:15:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9762, loss_cls: 3.1743, loss: 3.1743 +2025-05-31 00:08:21,240 - pyskl - INFO - Epoch [18][900/2353] lr: 2.418e-02, eta: 1 day, 14:15:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9756, loss_cls: 3.2766, loss: 3.2766 +2025-05-31 00:09:05,554 - pyskl - INFO - Epoch [18][1000/2353] lr: 2.418e-02, eta: 1 day, 14:14:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9675, loss_cls: 3.1822, loss: 3.1822 +2025-05-31 00:09:49,780 - pyskl - INFO - Epoch [18][1100/2353] lr: 2.417e-02, eta: 1 day, 14:13:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9712, loss_cls: 3.2273, loss: 3.2273 +2025-05-31 00:10:34,090 - pyskl - INFO - Epoch [18][1200/2353] lr: 2.417e-02, eta: 1 day, 14:12:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9712, loss_cls: 3.2147, loss: 3.2147 +2025-05-31 00:11:18,461 - pyskl - INFO - Epoch [18][1300/2353] lr: 2.416e-02, eta: 1 day, 14:12:09, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9738, loss_cls: 3.2406, loss: 3.2406 +2025-05-31 00:12:02,749 - pyskl - INFO - Epoch [18][1400/2353] lr: 2.416e-02, eta: 1 day, 14:11:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9725, loss_cls: 3.2363, loss: 3.2363 +2025-05-31 00:12:47,048 - pyskl - INFO - Epoch [18][1500/2353] lr: 2.416e-02, eta: 1 day, 14:10:44, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9756, loss_cls: 3.2536, loss: 3.2536 +2025-05-31 00:13:31,221 - pyskl - INFO - Epoch [18][1600/2353] lr: 2.415e-02, eta: 1 day, 14:10:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9750, loss_cls: 3.2690, loss: 3.2690 +2025-05-31 00:14:15,404 - pyskl - INFO - Epoch [18][1700/2353] lr: 2.415e-02, eta: 1 day, 14:09:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9669, loss_cls: 3.2450, loss: 3.2450 +2025-05-31 00:14:59,619 - pyskl - INFO - Epoch [18][1800/2353] lr: 2.414e-02, eta: 1 day, 14:08:33, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9706, loss_cls: 3.1586, loss: 3.1586 +2025-05-31 00:15:43,812 - pyskl - INFO - Epoch [18][1900/2353] lr: 2.414e-02, eta: 1 day, 14:07:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9725, loss_cls: 3.1105, loss: 3.1105 +2025-05-31 00:16:28,017 - pyskl - INFO - Epoch [18][2000/2353] lr: 2.414e-02, eta: 1 day, 14:07:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9738, loss_cls: 3.1257, loss: 3.1257 +2025-05-31 00:17:12,152 - pyskl - INFO - Epoch [18][2100/2353] lr: 2.413e-02, eta: 1 day, 14:06:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9750, loss_cls: 3.1064, loss: 3.1064 +2025-05-31 00:17:56,352 - pyskl - INFO - Epoch [18][2200/2353] lr: 2.413e-02, eta: 1 day, 14:05:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9731, loss_cls: 3.2496, loss: 3.2496 +2025-05-31 00:18:40,709 - pyskl - INFO - Epoch [18][2300/2353] lr: 2.412e-02, eta: 1 day, 14:04:55, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9781, loss_cls: 3.2090, loss: 3.2090 +2025-05-31 00:19:04,551 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-05-31 00:20:34,006 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 00:20:34,085 - pyskl - INFO - +top1_acc 0.8330 +top5_acc 0.9818 +2025-05-31 00:20:34,088 - pyskl - INFO - Epoch(val) [18][1184] top1_acc: 0.8330, top5_acc: 0.9818 +2025-05-31 00:21:38,208 - pyskl - INFO - Epoch [19][100/2353] lr: 2.412e-02, eta: 1 day, 14:03:23, time: 0.641, data_time: 0.201, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9762, loss_cls: 3.1018, loss: 3.1018 +2025-05-31 00:22:22,322 - pyskl - INFO - Epoch [19][200/2353] lr: 2.411e-02, eta: 1 day, 14:02:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9769, loss_cls: 3.2105, loss: 3.2105 +2025-05-31 00:23:06,588 - pyskl - INFO - Epoch [19][300/2353] lr: 2.411e-02, eta: 1 day, 14:01:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9756, loss_cls: 3.1541, loss: 3.1541 +2025-05-31 00:23:50,585 - pyskl - INFO - Epoch [19][400/2353] lr: 2.411e-02, eta: 1 day, 14:01:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9750, loss_cls: 3.3042, loss: 3.3042 +2025-05-31 00:24:34,826 - pyskl - INFO - Epoch [19][500/2353] lr: 2.410e-02, eta: 1 day, 14:00:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9800, loss_cls: 3.1044, loss: 3.1044 +2025-05-31 00:25:18,986 - pyskl - INFO - Epoch [19][600/2353] lr: 2.410e-02, eta: 1 day, 13:59:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9781, loss_cls: 3.1626, loss: 3.1626 +2025-05-31 00:26:03,136 - pyskl - INFO - Epoch [19][700/2353] lr: 2.409e-02, eta: 1 day, 13:58:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9719, loss_cls: 3.2418, loss: 3.2418 +2025-05-31 00:26:47,366 - pyskl - INFO - Epoch [19][800/2353] lr: 2.409e-02, eta: 1 day, 13:58:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9706, loss_cls: 3.2155, loss: 3.2155 +2025-05-31 00:27:31,583 - pyskl - INFO - Epoch [19][900/2353] lr: 2.409e-02, eta: 1 day, 13:57:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9712, loss_cls: 3.2475, loss: 3.2475 +2025-05-31 00:28:15,886 - pyskl - INFO - Epoch [19][1000/2353] lr: 2.408e-02, eta: 1 day, 13:56:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9669, loss_cls: 3.2010, loss: 3.2010 +2025-05-31 00:29:00,306 - pyskl - INFO - Epoch [19][1100/2353] lr: 2.408e-02, eta: 1 day, 13:56:07, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9788, loss_cls: 3.2022, loss: 3.2022 +2025-05-31 00:29:44,489 - pyskl - INFO - Epoch [19][1200/2353] lr: 2.407e-02, eta: 1 day, 13:55:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9744, loss_cls: 3.2268, loss: 3.2268 +2025-05-31 00:30:28,697 - pyskl - INFO - Epoch [19][1300/2353] lr: 2.407e-02, eta: 1 day, 13:54:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9719, loss_cls: 3.2074, loss: 3.2074 +2025-05-31 00:31:12,944 - pyskl - INFO - Epoch [19][1400/2353] lr: 2.406e-02, eta: 1 day, 13:53:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9788, loss_cls: 3.1301, loss: 3.1301 +2025-05-31 00:31:57,099 - pyskl - INFO - Epoch [19][1500/2353] lr: 2.406e-02, eta: 1 day, 13:53:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9806, loss_cls: 3.1772, loss: 3.1772 +2025-05-31 00:32:41,243 - pyskl - INFO - Epoch [19][1600/2353] lr: 2.406e-02, eta: 1 day, 13:52:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9731, loss_cls: 3.1946, loss: 3.1946 +2025-05-31 00:33:25,415 - pyskl - INFO - Epoch [19][1700/2353] lr: 2.405e-02, eta: 1 day, 13:51:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9700, loss_cls: 3.3104, loss: 3.3104 +2025-05-31 00:34:09,621 - pyskl - INFO - Epoch [19][1800/2353] lr: 2.405e-02, eta: 1 day, 13:51:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9619, loss_cls: 3.2147, loss: 3.2147 +2025-05-31 00:34:53,832 - pyskl - INFO - Epoch [19][1900/2353] lr: 2.404e-02, eta: 1 day, 13:50:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9681, loss_cls: 3.1009, loss: 3.1009 +2025-05-31 00:35:38,046 - pyskl - INFO - Epoch [19][2000/2353] lr: 2.404e-02, eta: 1 day, 13:49:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9738, loss_cls: 3.2230, loss: 3.2230 +2025-05-31 00:36:22,361 - pyskl - INFO - Epoch [19][2100/2353] lr: 2.403e-02, eta: 1 day, 13:48:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9731, loss_cls: 3.1711, loss: 3.1711 +2025-05-31 00:37:06,625 - pyskl - INFO - Epoch [19][2200/2353] lr: 2.403e-02, eta: 1 day, 13:48:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9762, loss_cls: 3.1576, loss: 3.1576 +2025-05-31 00:37:50,700 - pyskl - INFO - Epoch [19][2300/2353] lr: 2.403e-02, eta: 1 day, 13:47:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9725, loss_cls: 3.0796, loss: 3.0796 +2025-05-31 00:38:14,610 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-05-31 00:39:43,454 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 00:39:43,531 - pyskl - INFO - +top1_acc 0.8392 +top5_acc 0.9784 +2025-05-31 00:39:43,535 - pyskl - INFO - Epoch(val) [19][1184] top1_acc: 0.8392, top5_acc: 0.9784 +2025-05-31 00:40:47,820 - pyskl - INFO - Epoch [20][100/2353] lr: 2.402e-02, eta: 1 day, 13:45:54, time: 0.643, data_time: 0.202, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9781, loss_cls: 3.0975, loss: 3.0975 +2025-05-31 00:41:31,969 - pyskl - INFO - Epoch [20][200/2353] lr: 2.401e-02, eta: 1 day, 13:45:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9775, loss_cls: 3.0513, loss: 3.0513 +2025-05-31 00:42:16,094 - pyskl - INFO - Epoch [20][300/2353] lr: 2.401e-02, eta: 1 day, 13:44:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9762, loss_cls: 3.0613, loss: 3.0613 +2025-05-31 00:43:00,231 - pyskl - INFO - Epoch [20][400/2353] lr: 2.401e-02, eta: 1 day, 13:43:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9756, loss_cls: 3.1555, loss: 3.1555 +2025-05-31 00:43:44,411 - pyskl - INFO - Epoch [20][500/2353] lr: 2.400e-02, eta: 1 day, 13:42:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9700, loss_cls: 3.3601, loss: 3.3601 +2025-05-31 00:44:28,596 - pyskl - INFO - Epoch [20][600/2353] lr: 2.400e-02, eta: 1 day, 13:42:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9762, loss_cls: 3.1281, loss: 3.1281 +2025-05-31 00:45:12,780 - pyskl - INFO - Epoch [20][700/2353] lr: 2.399e-02, eta: 1 day, 13:41:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9712, loss_cls: 3.2633, loss: 3.2633 +2025-05-31 00:45:57,021 - pyskl - INFO - Epoch [20][800/2353] lr: 2.399e-02, eta: 1 day, 13:40:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9769, loss_cls: 3.1434, loss: 3.1434 +2025-05-31 00:46:41,276 - pyskl - INFO - Epoch [20][900/2353] lr: 2.398e-02, eta: 1 day, 13:40:05, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9706, loss_cls: 3.1958, loss: 3.1958 +2025-05-31 00:47:25,435 - pyskl - INFO - Epoch [20][1000/2353] lr: 2.398e-02, eta: 1 day, 13:39:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9819, loss_cls: 3.1173, loss: 3.1173 +2025-05-31 00:48:09,529 - pyskl - INFO - Epoch [20][1100/2353] lr: 2.398e-02, eta: 1 day, 13:38:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9725, loss_cls: 3.1729, loss: 3.1729 +2025-05-31 00:48:53,587 - pyskl - INFO - Epoch [20][1200/2353] lr: 2.397e-02, eta: 1 day, 13:37:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9731, loss_cls: 3.0801, loss: 3.0801 +2025-05-31 00:49:37,649 - pyskl - INFO - Epoch [20][1300/2353] lr: 2.397e-02, eta: 1 day, 13:37:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9719, loss_cls: 3.1405, loss: 3.1405 +2025-05-31 00:50:21,806 - pyskl - INFO - Epoch [20][1400/2353] lr: 2.396e-02, eta: 1 day, 13:36:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9769, loss_cls: 3.0825, loss: 3.0825 +2025-05-31 00:51:06,266 - pyskl - INFO - Epoch [20][1500/2353] lr: 2.396e-02, eta: 1 day, 13:35:42, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9781, loss_cls: 3.1215, loss: 3.1215 +2025-05-31 00:51:50,293 - pyskl - INFO - Epoch [20][1600/2353] lr: 2.395e-02, eta: 1 day, 13:34:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9625, loss_cls: 3.2314, loss: 3.2314 +2025-05-31 00:52:34,364 - pyskl - INFO - Epoch [20][1700/2353] lr: 2.395e-02, eta: 1 day, 13:34:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9688, loss_cls: 3.1136, loss: 3.1136 +2025-05-31 00:53:18,349 - pyskl - INFO - Epoch [20][1800/2353] lr: 2.394e-02, eta: 1 day, 13:33:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9731, loss_cls: 3.0869, loss: 3.0869 +2025-05-31 00:54:02,362 - pyskl - INFO - Epoch [20][1900/2353] lr: 2.394e-02, eta: 1 day, 13:32:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9744, loss_cls: 3.1698, loss: 3.1698 +2025-05-31 00:54:46,465 - pyskl - INFO - Epoch [20][2000/2353] lr: 2.394e-02, eta: 1 day, 13:31:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9750, loss_cls: 3.1925, loss: 3.1925 +2025-05-31 00:55:30,661 - pyskl - INFO - Epoch [20][2100/2353] lr: 2.393e-02, eta: 1 day, 13:31:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9738, loss_cls: 3.1399, loss: 3.1399 +2025-05-31 00:56:14,757 - pyskl - INFO - Epoch [20][2200/2353] lr: 2.393e-02, eta: 1 day, 13:30:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9731, loss_cls: 3.1680, loss: 3.1680 +2025-05-31 00:56:58,867 - pyskl - INFO - Epoch [20][2300/2353] lr: 2.392e-02, eta: 1 day, 13:29:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9631, loss_cls: 3.3305, loss: 3.3305 +2025-05-31 00:57:22,655 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-05-31 01:05:58,803 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 01:05:58,881 - pyskl - INFO - +top1_acc 0.8619 +top5_acc 0.9865 +2025-05-31 01:05:58,935 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_17.pth was removed +2025-05-31 01:05:59,990 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. +2025-05-31 01:05:59,991 - pyskl - INFO - Best top1_acc is 0.8619 at 20 epoch. +2025-05-31 01:05:59,994 - pyskl - INFO - Epoch(val) [20][1184] top1_acc: 0.8619, top5_acc: 0.9865 +2025-05-31 01:07:04,276 - pyskl - INFO - Epoch [21][100/2353] lr: 2.391e-02, eta: 1 day, 13:28:18, time: 0.643, data_time: 0.201, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9762, loss_cls: 3.0113, loss: 3.0113 +2025-05-31 01:07:48,583 - pyskl - INFO - Epoch [21][200/2353] lr: 2.391e-02, eta: 1 day, 13:27:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9788, loss_cls: 3.1119, loss: 3.1119 +2025-05-31 01:08:32,906 - pyskl - INFO - Epoch [21][300/2353] lr: 2.391e-02, eta: 1 day, 13:26:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9756, loss_cls: 3.1606, loss: 3.1606 +2025-05-31 01:09:17,256 - pyskl - INFO - Epoch [21][400/2353] lr: 2.390e-02, eta: 1 day, 13:26:09, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9838, loss_cls: 3.0762, loss: 3.0762 +2025-05-31 01:10:01,586 - pyskl - INFO - Epoch [21][500/2353] lr: 2.390e-02, eta: 1 day, 13:25:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9781, loss_cls: 2.9944, loss: 2.9944 +2025-05-31 01:10:45,960 - pyskl - INFO - Epoch [21][600/2353] lr: 2.389e-02, eta: 1 day, 13:24:44, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9756, loss_cls: 3.1212, loss: 3.1212 +2025-05-31 01:11:30,280 - pyskl - INFO - Epoch [21][700/2353] lr: 2.389e-02, eta: 1 day, 13:24:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9775, loss_cls: 3.1597, loss: 3.1597 +2025-05-31 01:12:14,742 - pyskl - INFO - Epoch [21][800/2353] lr: 2.388e-02, eta: 1 day, 13:23:19, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9706, loss_cls: 3.1588, loss: 3.1588 +2025-05-31 01:12:59,215 - pyskl - INFO - Epoch [21][900/2353] lr: 2.388e-02, eta: 1 day, 13:22:38, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9731, loss_cls: 3.0992, loss: 3.0992 +2025-05-31 01:13:43,585 - pyskl - INFO - Epoch [21][1000/2353] lr: 2.387e-02, eta: 1 day, 13:21:55, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9762, loss_cls: 3.1462, loss: 3.1462 +2025-05-31 01:14:27,990 - pyskl - INFO - Epoch [21][1100/2353] lr: 2.387e-02, eta: 1 day, 13:21:13, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9788, loss_cls: 3.0946, loss: 3.0946 +2025-05-31 01:15:12,337 - pyskl - INFO - Epoch [21][1200/2353] lr: 2.386e-02, eta: 1 day, 13:20:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9650, loss_cls: 3.1866, loss: 3.1866 +2025-05-31 01:15:56,664 - pyskl - INFO - Epoch [21][1300/2353] lr: 2.386e-02, eta: 1 day, 13:19:47, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9712, loss_cls: 3.0763, loss: 3.0763 +2025-05-31 01:16:40,964 - pyskl - INFO - Epoch [21][1400/2353] lr: 2.386e-02, eta: 1 day, 13:19:04, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9756, loss_cls: 3.1496, loss: 3.1496 +2025-05-31 01:17:25,322 - pyskl - INFO - Epoch [21][1500/2353] lr: 2.385e-02, eta: 1 day, 13:18:22, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9756, loss_cls: 3.0800, loss: 3.0800 +2025-05-31 01:18:09,710 - pyskl - INFO - Epoch [21][1600/2353] lr: 2.385e-02, eta: 1 day, 13:17:39, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9750, loss_cls: 3.0330, loss: 3.0330 +2025-05-31 01:18:54,088 - pyskl - INFO - Epoch [21][1700/2353] lr: 2.384e-02, eta: 1 day, 13:16:57, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9806, loss_cls: 3.1145, loss: 3.1145 +2025-05-31 01:19:38,609 - pyskl - INFO - Epoch [21][1800/2353] lr: 2.384e-02, eta: 1 day, 13:16:15, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9800, loss_cls: 3.1635, loss: 3.1635 +2025-05-31 01:20:23,028 - pyskl - INFO - Epoch [21][1900/2353] lr: 2.383e-02, eta: 1 day, 13:15:33, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9719, loss_cls: 3.0356, loss: 3.0356 +2025-05-31 01:21:07,393 - pyskl - INFO - Epoch [21][2000/2353] lr: 2.383e-02, eta: 1 day, 13:14:50, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9750, loss_cls: 3.1174, loss: 3.1174 +2025-05-31 01:21:51,632 - pyskl - INFO - Epoch [21][2100/2353] lr: 2.382e-02, eta: 1 day, 13:14:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9781, loss_cls: 3.1089, loss: 3.1089 +2025-05-31 01:22:36,037 - pyskl - INFO - Epoch [21][2200/2353] lr: 2.382e-02, eta: 1 day, 13:13:24, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9700, loss_cls: 3.2277, loss: 3.2277 +2025-05-31 01:23:20,518 - pyskl - INFO - Epoch [21][2300/2353] lr: 2.381e-02, eta: 1 day, 13:12:42, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9725, loss_cls: 3.2206, loss: 3.2206 +2025-05-31 01:23:44,594 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-05-31 01:25:13,600 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 01:25:13,677 - pyskl - INFO - +top1_acc 0.8243 +top5_acc 0.9830 +2025-05-31 01:25:13,680 - pyskl - INFO - Epoch(val) [21][1184] top1_acc: 0.8243, top5_acc: 0.9830 +2025-05-31 01:26:17,981 - pyskl - INFO - Epoch [22][100/2353] lr: 2.381e-02, eta: 1 day, 13:11:15, time: 0.643, data_time: 0.202, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9825, loss_cls: 3.0825, loss: 3.0825 +2025-05-31 01:27:02,190 - pyskl - INFO - Epoch [22][200/2353] lr: 2.380e-02, eta: 1 day, 13:10:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9712, loss_cls: 3.1049, loss: 3.1049 +2025-05-31 01:27:46,457 - pyskl - INFO - Epoch [22][300/2353] lr: 2.380e-02, eta: 1 day, 13:09:48, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9700, loss_cls: 3.2175, loss: 3.2175 +2025-05-31 01:28:30,668 - pyskl - INFO - Epoch [22][400/2353] lr: 2.379e-02, eta: 1 day, 13:09:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9838, loss_cls: 3.0290, loss: 3.0290 +2025-05-31 01:29:15,001 - pyskl - INFO - Epoch [22][500/2353] lr: 2.379e-02, eta: 1 day, 13:08:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9762, loss_cls: 3.1247, loss: 3.1247 +2025-05-31 01:29:59,348 - pyskl - INFO - Epoch [22][600/2353] lr: 2.378e-02, eta: 1 day, 13:07:39, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9712, loss_cls: 3.0864, loss: 3.0864 +2025-05-31 01:30:43,647 - pyskl - INFO - Epoch [22][700/2353] lr: 2.378e-02, eta: 1 day, 13:06:56, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9688, loss_cls: 3.2785, loss: 3.2785 +2025-05-31 01:31:27,816 - pyskl - INFO - Epoch [22][800/2353] lr: 2.377e-02, eta: 1 day, 13:06:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9762, loss_cls: 3.0017, loss: 3.0017 +2025-05-31 01:32:12,062 - pyskl - INFO - Epoch [22][900/2353] lr: 2.377e-02, eta: 1 day, 13:05:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9762, loss_cls: 3.0857, loss: 3.0857 +2025-05-31 01:32:56,316 - pyskl - INFO - Epoch [22][1000/2353] lr: 2.376e-02, eta: 1 day, 13:04:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9712, loss_cls: 3.2529, loss: 3.2529 +2025-05-31 01:33:40,576 - pyskl - INFO - Epoch [22][1100/2353] lr: 2.376e-02, eta: 1 day, 13:04:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9769, loss_cls: 3.1682, loss: 3.1682 +2025-05-31 01:34:24,769 - pyskl - INFO - Epoch [22][1200/2353] lr: 2.375e-02, eta: 1 day, 13:03:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9775, loss_cls: 3.1117, loss: 3.1117 +2025-05-31 01:35:08,877 - pyskl - INFO - Epoch [22][1300/2353] lr: 2.375e-02, eta: 1 day, 13:02:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9794, loss_cls: 3.1175, loss: 3.1175 +2025-05-31 01:35:52,993 - pyskl - INFO - Epoch [22][1400/2353] lr: 2.374e-02, eta: 1 day, 13:01:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9756, loss_cls: 3.0672, loss: 3.0672 +2025-05-31 01:36:37,144 - pyskl - INFO - Epoch [22][1500/2353] lr: 2.374e-02, eta: 1 day, 13:01:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9781, loss_cls: 3.1391, loss: 3.1391 +2025-05-31 01:37:21,330 - pyskl - INFO - Epoch [22][1600/2353] lr: 2.373e-02, eta: 1 day, 13:00:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9788, loss_cls: 3.1868, loss: 3.1868 +2025-05-31 01:38:05,490 - pyskl - INFO - Epoch [22][1700/2353] lr: 2.373e-02, eta: 1 day, 12:59:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9738, loss_cls: 3.0884, loss: 3.0884 +2025-05-31 01:38:49,693 - pyskl - INFO - Epoch [22][1800/2353] lr: 2.372e-02, eta: 1 day, 12:58:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9694, loss_cls: 3.0336, loss: 3.0336 +2025-05-31 01:39:33,849 - pyskl - INFO - Epoch [22][1900/2353] lr: 2.372e-02, eta: 1 day, 12:58:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9706, loss_cls: 3.0297, loss: 3.0297 +2025-05-31 01:40:18,057 - pyskl - INFO - Epoch [22][2000/2353] lr: 2.371e-02, eta: 1 day, 12:57:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9738, loss_cls: 3.1721, loss: 3.1721 +2025-05-31 01:41:02,279 - pyskl - INFO - Epoch [22][2100/2353] lr: 2.371e-02, eta: 1 day, 12:56:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9819, loss_cls: 3.0622, loss: 3.0622 +2025-05-31 01:41:46,520 - pyskl - INFO - Epoch [22][2200/2353] lr: 2.370e-02, eta: 1 day, 12:56:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9775, loss_cls: 3.1650, loss: 3.1650 +2025-05-31 01:42:30,676 - pyskl - INFO - Epoch [22][2300/2353] lr: 2.370e-02, eta: 1 day, 12:55:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9781, loss_cls: 3.1610, loss: 3.1610 +2025-05-31 01:42:54,645 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-05-31 01:44:23,601 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 01:44:23,679 - pyskl - INFO - +top1_acc 0.8544 +top5_acc 0.9870 +2025-05-31 01:44:23,682 - pyskl - INFO - Epoch(val) [22][1184] top1_acc: 0.8544, top5_acc: 0.9870 +2025-05-31 01:45:28,438 - pyskl - INFO - Epoch [23][100/2353] lr: 2.369e-02, eta: 1 day, 12:53:53, time: 0.648, data_time: 0.201, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9762, loss_cls: 3.0234, loss: 3.0234 +2025-05-31 01:46:12,662 - pyskl - INFO - Epoch [23][200/2353] lr: 2.369e-02, eta: 1 day, 12:53:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9806, loss_cls: 2.9207, loss: 2.9207 +2025-05-31 01:46:56,826 - pyskl - INFO - Epoch [23][300/2353] lr: 2.368e-02, eta: 1 day, 12:52:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9700, loss_cls: 3.0883, loss: 3.0883 +2025-05-31 01:47:40,982 - pyskl - INFO - Epoch [23][400/2353] lr: 2.368e-02, eta: 1 day, 12:51:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9675, loss_cls: 3.0326, loss: 3.0326 +2025-05-31 01:48:25,197 - pyskl - INFO - Epoch [23][500/2353] lr: 2.367e-02, eta: 1 day, 12:50:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9744, loss_cls: 3.0842, loss: 3.0842 +2025-05-31 01:49:09,457 - pyskl - INFO - Epoch [23][600/2353] lr: 2.367e-02, eta: 1 day, 12:50:15, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9781, loss_cls: 3.1085, loss: 3.1085 +2025-05-31 01:49:53,795 - pyskl - INFO - Epoch [23][700/2353] lr: 2.366e-02, eta: 1 day, 12:49:32, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9825, loss_cls: 3.0969, loss: 3.0969 +2025-05-31 01:50:38,101 - pyskl - INFO - Epoch [23][800/2353] lr: 2.366e-02, eta: 1 day, 12:48:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9706, loss_cls: 3.0383, loss: 3.0383 +2025-05-31 01:51:22,452 - pyskl - INFO - Epoch [23][900/2353] lr: 2.365e-02, eta: 1 day, 12:48:06, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9788, loss_cls: 3.1544, loss: 3.1544 +2025-05-31 01:52:06,711 - pyskl - INFO - Epoch [23][1000/2353] lr: 2.365e-02, eta: 1 day, 12:47:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9831, loss_cls: 2.9175, loss: 2.9175 +2025-05-31 01:52:51,004 - pyskl - INFO - Epoch [23][1100/2353] lr: 2.364e-02, eta: 1 day, 12:46:39, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9719, loss_cls: 3.0470, loss: 3.0470 +2025-05-31 01:53:35,307 - pyskl - INFO - Epoch [23][1200/2353] lr: 2.364e-02, eta: 1 day, 12:45:56, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9762, loss_cls: 3.1378, loss: 3.1378 +2025-05-31 01:54:19,561 - pyskl - INFO - Epoch [23][1300/2353] lr: 2.363e-02, eta: 1 day, 12:45:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9700, loss_cls: 3.0664, loss: 3.0664 +2025-05-31 01:55:03,773 - pyskl - INFO - Epoch [23][1400/2353] lr: 2.363e-02, eta: 1 day, 12:44:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9712, loss_cls: 3.0968, loss: 3.0968 +2025-05-31 01:55:47,893 - pyskl - INFO - Epoch [23][1500/2353] lr: 2.362e-02, eta: 1 day, 12:43:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9794, loss_cls: 3.0388, loss: 3.0388 +2025-05-31 01:56:32,070 - pyskl - INFO - Epoch [23][1600/2353] lr: 2.362e-02, eta: 1 day, 12:43:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9781, loss_cls: 3.0630, loss: 3.0630 +2025-05-31 01:57:16,247 - pyskl - INFO - Epoch [23][1700/2353] lr: 2.361e-02, eta: 1 day, 12:42:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9738, loss_cls: 3.0487, loss: 3.0487 +2025-05-31 01:58:00,469 - pyskl - INFO - Epoch [23][1800/2353] lr: 2.361e-02, eta: 1 day, 12:41:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9769, loss_cls: 2.9394, loss: 2.9394 +2025-05-31 01:58:44,552 - pyskl - INFO - Epoch [23][1900/2353] lr: 2.360e-02, eta: 1 day, 12:40:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9731, loss_cls: 3.1269, loss: 3.1269 +2025-05-31 01:59:28,691 - pyskl - INFO - Epoch [23][2000/2353] lr: 2.360e-02, eta: 1 day, 12:40:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9706, loss_cls: 3.0970, loss: 3.0970 +2025-05-31 02:00:12,788 - pyskl - INFO - Epoch [23][2100/2353] lr: 2.359e-02, eta: 1 day, 12:39:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9819, loss_cls: 2.9984, loss: 2.9984 +2025-05-31 02:00:56,948 - pyskl - INFO - Epoch [23][2200/2353] lr: 2.359e-02, eta: 1 day, 12:38:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9688, loss_cls: 3.2411, loss: 3.2411 +2025-05-31 02:01:41,049 - pyskl - INFO - Epoch [23][2300/2353] lr: 2.358e-02, eta: 1 day, 12:37:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9731, loss_cls: 3.1471, loss: 3.1471 +2025-05-31 02:02:05,014 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-05-31 02:03:34,034 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 02:03:34,111 - pyskl - INFO - +top1_acc 0.8512 +top5_acc 0.9863 +2025-05-31 02:03:34,114 - pyskl - INFO - Epoch(val) [23][1184] top1_acc: 0.8512, top5_acc: 0.9863 +2025-05-31 02:04:38,585 - pyskl - INFO - Epoch [24][100/2353] lr: 2.357e-02, eta: 1 day, 12:36:29, time: 0.645, data_time: 0.202, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9794, loss_cls: 2.9478, loss: 2.9478 +2025-05-31 02:05:22,967 - pyskl - INFO - Epoch [24][200/2353] lr: 2.357e-02, eta: 1 day, 12:35:46, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9788, loss_cls: 3.0082, loss: 3.0082 +2025-05-31 02:06:07,169 - pyskl - INFO - Epoch [24][300/2353] lr: 2.356e-02, eta: 1 day, 12:35:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9800, loss_cls: 3.1241, loss: 3.1241 +2025-05-31 02:06:51,340 - pyskl - INFO - Epoch [24][400/2353] lr: 2.356e-02, eta: 1 day, 12:34:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9781, loss_cls: 3.0213, loss: 3.0213 +2025-05-31 02:07:35,522 - pyskl - INFO - Epoch [24][500/2353] lr: 2.355e-02, eta: 1 day, 12:33:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9769, loss_cls: 3.1533, loss: 3.1533 +2025-05-31 02:08:19,836 - pyskl - INFO - Epoch [24][600/2353] lr: 2.355e-02, eta: 1 day, 12:32:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9775, loss_cls: 3.0684, loss: 3.0684 +2025-05-31 02:09:04,208 - pyskl - INFO - Epoch [24][700/2353] lr: 2.354e-02, eta: 1 day, 12:32:09, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9856, loss_cls: 2.9357, loss: 2.9357 +2025-05-31 02:09:48,490 - pyskl - INFO - Epoch [24][800/2353] lr: 2.354e-02, eta: 1 day, 12:31:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9788, loss_cls: 3.0673, loss: 3.0673 +2025-05-31 02:10:32,653 - pyskl - INFO - Epoch [24][900/2353] lr: 2.353e-02, eta: 1 day, 12:30:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9694, loss_cls: 3.2052, loss: 3.2052 +2025-05-31 02:11:16,888 - pyskl - INFO - Epoch [24][1000/2353] lr: 2.353e-02, eta: 1 day, 12:29:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9762, loss_cls: 3.0850, loss: 3.0850 +2025-05-31 02:12:01,075 - pyskl - INFO - Epoch [24][1100/2353] lr: 2.352e-02, eta: 1 day, 12:29:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9781, loss_cls: 3.0102, loss: 3.0102 +2025-05-31 02:12:45,214 - pyskl - INFO - Epoch [24][1200/2353] lr: 2.352e-02, eta: 1 day, 12:28:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9731, loss_cls: 3.0780, loss: 3.0780 +2025-05-31 02:13:29,398 - pyskl - INFO - Epoch [24][1300/2353] lr: 2.351e-02, eta: 1 day, 12:27:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9719, loss_cls: 3.1519, loss: 3.1519 +2025-05-31 02:14:13,640 - pyskl - INFO - Epoch [24][1400/2353] lr: 2.350e-02, eta: 1 day, 12:27:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9781, loss_cls: 3.0169, loss: 3.0169 +2025-05-31 02:14:57,848 - pyskl - INFO - Epoch [24][1500/2353] lr: 2.350e-02, eta: 1 day, 12:26:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9762, loss_cls: 3.0235, loss: 3.0235 +2025-05-31 02:15:42,038 - pyskl - INFO - Epoch [24][1600/2353] lr: 2.349e-02, eta: 1 day, 12:25:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9750, loss_cls: 3.0940, loss: 3.0940 +2025-05-31 02:16:26,222 - pyskl - INFO - Epoch [24][1700/2353] lr: 2.349e-02, eta: 1 day, 12:24:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9769, loss_cls: 3.0019, loss: 3.0019 +2025-05-31 02:17:10,444 - pyskl - INFO - Epoch [24][1800/2353] lr: 2.348e-02, eta: 1 day, 12:24:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9762, loss_cls: 3.0290, loss: 3.0290 +2025-05-31 02:17:54,632 - pyskl - INFO - Epoch [24][1900/2353] lr: 2.348e-02, eta: 1 day, 12:23:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9762, loss_cls: 3.0863, loss: 3.0863 +2025-05-31 02:18:38,805 - pyskl - INFO - Epoch [24][2000/2353] lr: 2.347e-02, eta: 1 day, 12:22:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9731, loss_cls: 3.1707, loss: 3.1707 +2025-05-31 02:19:22,970 - pyskl - INFO - Epoch [24][2100/2353] lr: 2.347e-02, eta: 1 day, 12:21:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9800, loss_cls: 3.0899, loss: 3.0899 +2025-05-31 02:20:07,154 - pyskl - INFO - Epoch [24][2200/2353] lr: 2.346e-02, eta: 1 day, 12:21:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9719, loss_cls: 3.2148, loss: 3.2148 +2025-05-31 02:20:51,299 - pyskl - INFO - Epoch [24][2300/2353] lr: 2.346e-02, eta: 1 day, 12:20:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9750, loss_cls: 3.1387, loss: 3.1387 +2025-05-31 02:21:15,263 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-05-31 02:22:44,082 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 02:22:44,160 - pyskl - INFO - +top1_acc 0.8569 +top5_acc 0.9838 +2025-05-31 02:22:44,163 - pyskl - INFO - Epoch(val) [24][1184] top1_acc: 0.8569, top5_acc: 0.9838 +2025-05-31 02:23:48,422 - pyskl - INFO - Epoch [25][100/2353] lr: 2.345e-02, eta: 1 day, 12:19:05, time: 0.643, data_time: 0.202, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9788, loss_cls: 3.0143, loss: 3.0143 +2025-05-31 02:24:32,509 - pyskl - INFO - Epoch [25][200/2353] lr: 2.344e-02, eta: 1 day, 12:18:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9744, loss_cls: 2.9378, loss: 2.9378 +2025-05-31 02:25:16,652 - pyskl - INFO - Epoch [25][300/2353] lr: 2.344e-02, eta: 1 day, 12:17:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9725, loss_cls: 3.0661, loss: 3.0661 +2025-05-31 02:26:00,710 - pyskl - INFO - Epoch [25][400/2353] lr: 2.343e-02, eta: 1 day, 12:16:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9806, loss_cls: 2.9211, loss: 2.9211 +2025-05-31 02:26:44,840 - pyskl - INFO - Epoch [25][500/2353] lr: 2.343e-02, eta: 1 day, 12:16:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9794, loss_cls: 2.9549, loss: 2.9549 +2025-05-31 02:27:28,875 - pyskl - INFO - Epoch [25][600/2353] lr: 2.342e-02, eta: 1 day, 12:15:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9775, loss_cls: 3.1001, loss: 3.1001 +2025-05-31 02:28:12,888 - pyskl - INFO - Epoch [25][700/2353] lr: 2.342e-02, eta: 1 day, 12:14:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9794, loss_cls: 3.0840, loss: 3.0840 +2025-05-31 02:28:56,839 - pyskl - INFO - Epoch [25][800/2353] lr: 2.341e-02, eta: 1 day, 12:13:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9844, loss_cls: 2.9482, loss: 2.9482 +2025-05-31 02:29:40,940 - pyskl - INFO - Epoch [25][900/2353] lr: 2.341e-02, eta: 1 day, 12:13:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9850, loss_cls: 2.9746, loss: 2.9746 +2025-05-31 02:30:24,964 - pyskl - INFO - Epoch [25][1000/2353] lr: 2.340e-02, eta: 1 day, 12:12:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9750, loss_cls: 3.1133, loss: 3.1133 +2025-05-31 02:31:08,922 - pyskl - INFO - Epoch [25][1100/2353] lr: 2.339e-02, eta: 1 day, 12:11:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9775, loss_cls: 3.0314, loss: 3.0314 +2025-05-31 02:31:52,781 - pyskl - INFO - Epoch [25][1200/2353] lr: 2.339e-02, eta: 1 day, 12:10:55, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9738, loss_cls: 2.9916, loss: 2.9916 +2025-05-31 02:32:36,676 - pyskl - INFO - Epoch [25][1300/2353] lr: 2.338e-02, eta: 1 day, 12:10:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9712, loss_cls: 3.1285, loss: 3.1285 +2025-05-31 02:33:20,493 - pyskl - INFO - Epoch [25][1400/2353] lr: 2.338e-02, eta: 1 day, 12:09:24, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9794, loss_cls: 3.1286, loss: 3.1286 +2025-05-31 02:34:04,564 - pyskl - INFO - Epoch [25][1500/2353] lr: 2.337e-02, eta: 1 day, 12:08:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9756, loss_cls: 3.0842, loss: 3.0842 +2025-05-31 02:34:48,656 - pyskl - INFO - Epoch [25][1600/2353] lr: 2.337e-02, eta: 1 day, 12:07:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9762, loss_cls: 3.0371, loss: 3.0371 +2025-05-31 02:35:32,692 - pyskl - INFO - Epoch [25][1700/2353] lr: 2.336e-02, eta: 1 day, 12:07:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9744, loss_cls: 2.9518, loss: 2.9518 +2025-05-31 02:36:16,793 - pyskl - INFO - Epoch [25][1800/2353] lr: 2.336e-02, eta: 1 day, 12:06:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9738, loss_cls: 3.0969, loss: 3.0969 +2025-05-31 02:37:00,863 - pyskl - INFO - Epoch [25][1900/2353] lr: 2.335e-02, eta: 1 day, 12:05:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9812, loss_cls: 2.9863, loss: 2.9863 +2025-05-31 02:37:44,935 - pyskl - INFO - Epoch [25][2000/2353] lr: 2.334e-02, eta: 1 day, 12:04:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9731, loss_cls: 3.0941, loss: 3.0941 +2025-05-31 02:38:28,964 - pyskl - INFO - Epoch [25][2100/2353] lr: 2.334e-02, eta: 1 day, 12:04:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9738, loss_cls: 3.1023, loss: 3.1023 +2025-05-31 02:39:12,984 - pyskl - INFO - Epoch [25][2200/2353] lr: 2.333e-02, eta: 1 day, 12:03:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9769, loss_cls: 3.1014, loss: 3.1014 +2025-05-31 02:39:56,997 - pyskl - INFO - Epoch [25][2300/2353] lr: 2.333e-02, eta: 1 day, 12:02:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9762, loss_cls: 3.0462, loss: 3.0462 +2025-05-31 02:40:20,880 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-05-31 02:48:59,244 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 02:48:59,322 - pyskl - INFO - +top1_acc 0.8498 +top5_acc 0.9845 +2025-05-31 02:48:59,325 - pyskl - INFO - Epoch(val) [25][1184] top1_acc: 0.8498, top5_acc: 0.9845 +2025-05-31 02:50:03,654 - pyskl - INFO - Epoch [26][100/2353] lr: 2.332e-02, eta: 1 day, 12:01:22, time: 0.643, data_time: 0.201, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9762, loss_cls: 2.9122, loss: 2.9122 +2025-05-31 02:50:47,916 - pyskl - INFO - Epoch [26][200/2353] lr: 2.331e-02, eta: 1 day, 12:00:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9738, loss_cls: 3.0161, loss: 3.0161 +2025-05-31 02:51:32,091 - pyskl - INFO - Epoch [26][300/2353] lr: 2.331e-02, eta: 1 day, 11:59:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9838, loss_cls: 2.9735, loss: 2.9735 +2025-05-31 02:52:16,358 - pyskl - INFO - Epoch [26][400/2353] lr: 2.330e-02, eta: 1 day, 11:59:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9781, loss_cls: 3.0105, loss: 3.0105 +2025-05-31 02:53:00,597 - pyskl - INFO - Epoch [26][500/2353] lr: 2.330e-02, eta: 1 day, 11:58:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 2.9287, loss: 2.9287 +2025-05-31 02:53:44,884 - pyskl - INFO - Epoch [26][600/2353] lr: 2.329e-02, eta: 1 day, 11:57:44, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9831, loss_cls: 2.9769, loss: 2.9769 +2025-05-31 02:54:29,104 - pyskl - INFO - Epoch [26][700/2353] lr: 2.329e-02, eta: 1 day, 11:57:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9788, loss_cls: 2.9917, loss: 2.9917 +2025-05-31 02:55:13,212 - pyskl - INFO - Epoch [26][800/2353] lr: 2.328e-02, eta: 1 day, 11:56:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9769, loss_cls: 2.9590, loss: 2.9590 +2025-05-31 02:55:57,349 - pyskl - INFO - Epoch [26][900/2353] lr: 2.327e-02, eta: 1 day, 11:55:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9781, loss_cls: 3.0580, loss: 3.0580 +2025-05-31 02:56:41,481 - pyskl - INFO - Epoch [26][1000/2353] lr: 2.327e-02, eta: 1 day, 11:54:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9775, loss_cls: 3.0557, loss: 3.0557 +2025-05-31 02:57:25,557 - pyskl - INFO - Epoch [26][1100/2353] lr: 2.326e-02, eta: 1 day, 11:54:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9788, loss_cls: 3.0066, loss: 3.0066 +2025-05-31 02:58:09,705 - pyskl - INFO - Epoch [26][1200/2353] lr: 2.326e-02, eta: 1 day, 11:53:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9812, loss_cls: 2.9276, loss: 2.9276 +2025-05-31 02:58:53,783 - pyskl - INFO - Epoch [26][1300/2353] lr: 2.325e-02, eta: 1 day, 11:52:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9775, loss_cls: 3.0471, loss: 3.0471 +2025-05-31 02:59:37,893 - pyskl - INFO - Epoch [26][1400/2353] lr: 2.325e-02, eta: 1 day, 11:51:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9781, loss_cls: 3.0070, loss: 3.0070 +2025-05-31 03:00:22,028 - pyskl - INFO - Epoch [26][1500/2353] lr: 2.324e-02, eta: 1 day, 11:51:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9719, loss_cls: 3.0957, loss: 3.0957 +2025-05-31 03:01:06,077 - pyskl - INFO - Epoch [26][1600/2353] lr: 2.324e-02, eta: 1 day, 11:50:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9800, loss_cls: 3.1022, loss: 3.1022 +2025-05-31 03:01:50,166 - pyskl - INFO - Epoch [26][1700/2353] lr: 2.323e-02, eta: 1 day, 11:49:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9775, loss_cls: 3.0053, loss: 3.0053 +2025-05-31 03:02:34,417 - pyskl - INFO - Epoch [26][1800/2353] lr: 2.322e-02, eta: 1 day, 11:48:56, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9812, loss_cls: 3.0275, loss: 3.0275 +2025-05-31 03:03:18,631 - pyskl - INFO - Epoch [26][1900/2353] lr: 2.322e-02, eta: 1 day, 11:48:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9769, loss_cls: 2.9972, loss: 2.9972 +2025-05-31 03:04:02,814 - pyskl - INFO - Epoch [26][2000/2353] lr: 2.321e-02, eta: 1 day, 11:47:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9719, loss_cls: 3.1327, loss: 3.1327 +2025-05-31 03:04:46,921 - pyskl - INFO - Epoch [26][2100/2353] lr: 2.321e-02, eta: 1 day, 11:46:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9744, loss_cls: 3.1437, loss: 3.1437 +2025-05-31 03:05:31,137 - pyskl - INFO - Epoch [26][2200/2353] lr: 2.320e-02, eta: 1 day, 11:46:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9819, loss_cls: 3.0722, loss: 3.0722 +2025-05-31 03:06:15,239 - pyskl - INFO - Epoch [26][2300/2353] lr: 2.320e-02, eta: 1 day, 11:45:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9762, loss_cls: 3.1067, loss: 3.1067 +2025-05-31 03:06:39,119 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-05-31 03:08:08,278 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 03:08:08,355 - pyskl - INFO - +top1_acc 0.8705 +top5_acc 0.9871 +2025-05-31 03:08:08,411 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_20.pth was removed +2025-05-31 03:08:09,459 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. +2025-05-31 03:08:09,459 - pyskl - INFO - Best top1_acc is 0.8705 at 26 epoch. +2025-05-31 03:08:09,462 - pyskl - INFO - Epoch(val) [26][1184] top1_acc: 0.8705, top5_acc: 0.9871 +2025-05-31 03:09:13,926 - pyskl - INFO - Epoch [27][100/2353] lr: 2.319e-02, eta: 1 day, 11:43:55, time: 0.645, data_time: 0.202, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9738, loss_cls: 3.0217, loss: 3.0217 +2025-05-31 03:09:58,043 - pyskl - INFO - Epoch [27][200/2353] lr: 2.318e-02, eta: 1 day, 11:43:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9869, loss_cls: 2.9005, loss: 2.9005 +2025-05-31 03:10:42,278 - pyskl - INFO - Epoch [27][300/2353] lr: 2.317e-02, eta: 1 day, 11:42:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9800, loss_cls: 2.8903, loss: 2.8903 +2025-05-31 03:11:26,430 - pyskl - INFO - Epoch [27][400/2353] lr: 2.317e-02, eta: 1 day, 11:41:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9806, loss_cls: 3.0377, loss: 3.0377 +2025-05-31 03:12:10,774 - pyskl - INFO - Epoch [27][500/2353] lr: 2.316e-02, eta: 1 day, 11:41:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9725, loss_cls: 3.2070, loss: 3.2070 +2025-05-31 03:12:55,320 - pyskl - INFO - Epoch [27][600/2353] lr: 2.316e-02, eta: 1 day, 11:40:19, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9775, loss_cls: 2.8845, loss: 2.8845 +2025-05-31 03:13:39,536 - pyskl - INFO - Epoch [27][700/2353] lr: 2.315e-02, eta: 1 day, 11:39:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9812, loss_cls: 2.9880, loss: 2.9880 +2025-05-31 03:14:23,764 - pyskl - INFO - Epoch [27][800/2353] lr: 2.315e-02, eta: 1 day, 11:38:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9788, loss_cls: 3.0733, loss: 3.0733 +2025-05-31 03:15:07,944 - pyskl - INFO - Epoch [27][900/2353] lr: 2.314e-02, eta: 1 day, 11:38:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9769, loss_cls: 3.0032, loss: 3.0032 +2025-05-31 03:15:52,022 - pyskl - INFO - Epoch [27][1000/2353] lr: 2.313e-02, eta: 1 day, 11:37:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9744, loss_cls: 3.0639, loss: 3.0639 +2025-05-31 03:16:36,135 - pyskl - INFO - Epoch [27][1100/2353] lr: 2.313e-02, eta: 1 day, 11:36:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9800, loss_cls: 2.9387, loss: 2.9387 +2025-05-31 03:17:20,148 - pyskl - INFO - Epoch [27][1200/2353] lr: 2.312e-02, eta: 1 day, 11:35:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9812, loss_cls: 2.9855, loss: 2.9855 +2025-05-31 03:18:04,233 - pyskl - INFO - Epoch [27][1300/2353] lr: 2.312e-02, eta: 1 day, 11:35:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9744, loss_cls: 3.0344, loss: 3.0344 +2025-05-31 03:18:48,245 - pyskl - INFO - Epoch [27][1400/2353] lr: 2.311e-02, eta: 1 day, 11:34:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9775, loss_cls: 3.0203, loss: 3.0203 +2025-05-31 03:19:32,416 - pyskl - INFO - Epoch [27][1500/2353] lr: 2.310e-02, eta: 1 day, 11:33:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9744, loss_cls: 3.0215, loss: 3.0215 +2025-05-31 03:20:16,430 - pyskl - INFO - Epoch [27][1600/2353] lr: 2.310e-02, eta: 1 day, 11:32:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 2.8831, loss: 2.8831 +2025-05-31 03:21:00,487 - pyskl - INFO - Epoch [27][1700/2353] lr: 2.309e-02, eta: 1 day, 11:32:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9725, loss_cls: 3.0357, loss: 3.0357 +2025-05-31 03:21:44,556 - pyskl - INFO - Epoch [27][1800/2353] lr: 2.309e-02, eta: 1 day, 11:31:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9775, loss_cls: 3.0885, loss: 3.0885 +2025-05-31 03:22:28,708 - pyskl - INFO - Epoch [27][1900/2353] lr: 2.308e-02, eta: 1 day, 11:30:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9788, loss_cls: 2.9631, loss: 2.9631 +2025-05-31 03:23:12,741 - pyskl - INFO - Epoch [27][2000/2353] lr: 2.308e-02, eta: 1 day, 11:30:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9781, loss_cls: 3.0382, loss: 3.0382 +2025-05-31 03:23:56,808 - pyskl - INFO - Epoch [27][2100/2353] lr: 2.307e-02, eta: 1 day, 11:29:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9812, loss_cls: 2.9237, loss: 2.9237 +2025-05-31 03:24:40,912 - pyskl - INFO - Epoch [27][2200/2353] lr: 2.306e-02, eta: 1 day, 11:28:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9800, loss_cls: 2.9774, loss: 2.9774 +2025-05-31 03:25:24,931 - pyskl - INFO - Epoch [27][2300/2353] lr: 2.306e-02, eta: 1 day, 11:27:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9712, loss_cls: 3.1260, loss: 3.1260 +2025-05-31 03:25:48,904 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-05-31 03:27:18,317 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 03:27:18,394 - pyskl - INFO - +top1_acc 0.8636 +top5_acc 0.9874 +2025-05-31 03:27:18,397 - pyskl - INFO - Epoch(val) [27][1184] top1_acc: 0.8636, top5_acc: 0.9874 +2025-05-31 03:28:22,480 - pyskl - INFO - Epoch [28][100/2353] lr: 2.305e-02, eta: 1 day, 11:26:25, time: 0.641, data_time: 0.200, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9800, loss_cls: 2.9140, loss: 2.9140 +2025-05-31 03:29:06,642 - pyskl - INFO - Epoch [28][200/2353] lr: 2.304e-02, eta: 1 day, 11:25:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9850, loss_cls: 2.9158, loss: 2.9158 +2025-05-31 03:29:50,830 - pyskl - INFO - Epoch [28][300/2353] lr: 2.304e-02, eta: 1 day, 11:24:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9706, loss_cls: 3.0966, loss: 3.0966 +2025-05-31 03:30:35,363 - pyskl - INFO - Epoch [28][400/2353] lr: 2.303e-02, eta: 1 day, 11:24:16, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9800, loss_cls: 2.9917, loss: 2.9917 +2025-05-31 03:31:19,724 - pyskl - INFO - Epoch [28][500/2353] lr: 2.302e-02, eta: 1 day, 11:23:33, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9800, loss_cls: 2.8825, loss: 2.8825 +2025-05-31 03:32:04,095 - pyskl - INFO - Epoch [28][600/2353] lr: 2.302e-02, eta: 1 day, 11:22:50, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9762, loss_cls: 2.9639, loss: 2.9639 +2025-05-31 03:32:48,263 - pyskl - INFO - Epoch [28][700/2353] lr: 2.301e-02, eta: 1 day, 11:22:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9812, loss_cls: 3.0283, loss: 3.0283 +2025-05-31 03:33:32,293 - pyskl - INFO - Epoch [28][800/2353] lr: 2.301e-02, eta: 1 day, 11:21:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9756, loss_cls: 3.0706, loss: 3.0706 +2025-05-31 03:34:16,457 - pyskl - INFO - Epoch [28][900/2353] lr: 2.300e-02, eta: 1 day, 11:20:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9875, loss_cls: 2.8667, loss: 2.8667 +2025-05-31 03:35:00,640 - pyskl - INFO - Epoch [28][1000/2353] lr: 2.299e-02, eta: 1 day, 11:19:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9781, loss_cls: 2.9401, loss: 2.9401 +2025-05-31 03:35:44,768 - pyskl - INFO - Epoch [28][1100/2353] lr: 2.299e-02, eta: 1 day, 11:19:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9812, loss_cls: 3.0416, loss: 3.0416 +2025-05-31 03:36:29,017 - pyskl - INFO - Epoch [28][1200/2353] lr: 2.298e-02, eta: 1 day, 11:18:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9762, loss_cls: 3.0813, loss: 3.0813 +2025-05-31 03:37:13,123 - pyskl - INFO - Epoch [28][1300/2353] lr: 2.298e-02, eta: 1 day, 11:17:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9788, loss_cls: 3.0612, loss: 3.0612 +2025-05-31 03:37:57,255 - pyskl - INFO - Epoch [28][1400/2353] lr: 2.297e-02, eta: 1 day, 11:16:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9756, loss_cls: 2.9832, loss: 2.9832 +2025-05-31 03:38:41,445 - pyskl - INFO - Epoch [28][1500/2353] lr: 2.296e-02, eta: 1 day, 11:16:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9812, loss_cls: 2.9850, loss: 2.9850 +2025-05-31 03:39:25,594 - pyskl - INFO - Epoch [28][1600/2353] lr: 2.296e-02, eta: 1 day, 11:15:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9794, loss_cls: 2.9922, loss: 2.9922 +2025-05-31 03:40:09,792 - pyskl - INFO - Epoch [28][1700/2353] lr: 2.295e-02, eta: 1 day, 11:14:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9769, loss_cls: 3.0315, loss: 3.0315 +2025-05-31 03:40:53,902 - pyskl - INFO - Epoch [28][1800/2353] lr: 2.295e-02, eta: 1 day, 11:14:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9738, loss_cls: 3.0622, loss: 3.0622 +2025-05-31 03:41:37,991 - pyskl - INFO - Epoch [28][1900/2353] lr: 2.294e-02, eta: 1 day, 11:13:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9700, loss_cls: 2.9649, loss: 2.9649 +2025-05-31 03:42:22,131 - pyskl - INFO - Epoch [28][2000/2353] lr: 2.293e-02, eta: 1 day, 11:12:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9750, loss_cls: 3.1081, loss: 3.1081 +2025-05-31 03:43:06,182 - pyskl - INFO - Epoch [28][2100/2353] lr: 2.293e-02, eta: 1 day, 11:11:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9719, loss_cls: 3.0200, loss: 3.0200 +2025-05-31 03:43:50,312 - pyskl - INFO - Epoch [28][2200/2353] lr: 2.292e-02, eta: 1 day, 11:11:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9725, loss_cls: 2.9562, loss: 2.9562 +2025-05-31 03:44:34,482 - pyskl - INFO - Epoch [28][2300/2353] lr: 2.291e-02, eta: 1 day, 11:10:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9725, loss_cls: 3.1505, loss: 3.1505 +2025-05-31 03:44:58,419 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-05-31 03:46:27,328 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 03:46:27,406 - pyskl - INFO - +top1_acc 0.8588 +top5_acc 0.9868 +2025-05-31 03:46:27,409 - pyskl - INFO - Epoch(val) [28][1184] top1_acc: 0.8588, top5_acc: 0.9868 +2025-05-31 03:47:31,504 - pyskl - INFO - Epoch [29][100/2353] lr: 2.291e-02, eta: 1 day, 11:09:01, time: 0.641, data_time: 0.199, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9812, loss_cls: 2.8891, loss: 2.8891 +2025-05-31 03:48:15,793 - pyskl - INFO - Epoch [29][200/2353] lr: 2.290e-02, eta: 1 day, 11:08:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 2.8017, loss: 2.8017 +2025-05-31 03:49:00,186 - pyskl - INFO - Epoch [29][300/2353] lr: 2.289e-02, eta: 1 day, 11:07:35, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9794, loss_cls: 2.9183, loss: 2.9183 +2025-05-31 03:49:44,524 - pyskl - INFO - Epoch [29][400/2353] lr: 2.289e-02, eta: 1 day, 11:06:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9788, loss_cls: 2.9162, loss: 2.9162 +2025-05-31 03:50:28,768 - pyskl - INFO - Epoch [29][500/2353] lr: 2.288e-02, eta: 1 day, 11:06:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9800, loss_cls: 3.1125, loss: 3.1125 +2025-05-31 03:51:12,975 - pyskl - INFO - Epoch [29][600/2353] lr: 2.287e-02, eta: 1 day, 11:05:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9781, loss_cls: 3.0062, loss: 3.0062 +2025-05-31 03:51:57,206 - pyskl - INFO - Epoch [29][700/2353] lr: 2.287e-02, eta: 1 day, 11:04:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9812, loss_cls: 3.0308, loss: 3.0308 +2025-05-31 03:52:41,438 - pyskl - INFO - Epoch [29][800/2353] lr: 2.286e-02, eta: 1 day, 11:03:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9794, loss_cls: 2.9685, loss: 2.9685 +2025-05-31 03:53:25,729 - pyskl - INFO - Epoch [29][900/2353] lr: 2.286e-02, eta: 1 day, 11:03:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9838, loss_cls: 2.9991, loss: 2.9991 +2025-05-31 03:54:09,651 - pyskl - INFO - Epoch [29][1000/2353] lr: 2.285e-02, eta: 1 day, 11:02:30, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9788, loss_cls: 3.0079, loss: 3.0079 +2025-05-31 03:54:53,665 - pyskl - INFO - Epoch [29][1100/2353] lr: 2.284e-02, eta: 1 day, 11:01:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9825, loss_cls: 2.9323, loss: 2.9323 +2025-05-31 03:55:37,949 - pyskl - INFO - Epoch [29][1200/2353] lr: 2.284e-02, eta: 1 day, 11:01:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 2.9275, loss: 2.9275 +2025-05-31 03:56:22,287 - pyskl - INFO - Epoch [29][1300/2353] lr: 2.283e-02, eta: 1 day, 11:00:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9819, loss_cls: 2.9226, loss: 2.9226 +2025-05-31 03:57:06,602 - pyskl - INFO - Epoch [29][1400/2353] lr: 2.282e-02, eta: 1 day, 10:59:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9750, loss_cls: 3.0793, loss: 3.0793 +2025-05-31 03:57:50,881 - pyskl - INFO - Epoch [29][1500/2353] lr: 2.282e-02, eta: 1 day, 10:58:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9775, loss_cls: 3.0744, loss: 3.0744 +2025-05-31 03:58:35,112 - pyskl - INFO - Epoch [29][1600/2353] lr: 2.281e-02, eta: 1 day, 10:58:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9712, loss_cls: 2.9940, loss: 2.9940 +2025-05-31 03:59:19,418 - pyskl - INFO - Epoch [29][1700/2353] lr: 2.281e-02, eta: 1 day, 10:57:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9744, loss_cls: 3.0963, loss: 3.0963 +2025-05-31 04:00:03,713 - pyskl - INFO - Epoch [29][1800/2353] lr: 2.280e-02, eta: 1 day, 10:56:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9738, loss_cls: 3.0170, loss: 3.0170 +2025-05-31 04:00:47,994 - pyskl - INFO - Epoch [29][1900/2353] lr: 2.279e-02, eta: 1 day, 10:55:59, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 2.8890, loss: 2.8890 +2025-05-31 04:01:32,338 - pyskl - INFO - Epoch [29][2000/2353] lr: 2.279e-02, eta: 1 day, 10:55:16, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9788, loss_cls: 3.0388, loss: 3.0388 +2025-05-31 04:02:16,642 - pyskl - INFO - Epoch [29][2100/2353] lr: 2.278e-02, eta: 1 day, 10:54:32, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9700, loss_cls: 3.0270, loss: 3.0270 +2025-05-31 04:03:00,950 - pyskl - INFO - Epoch [29][2200/2353] lr: 2.277e-02, eta: 1 day, 10:53:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9756, loss_cls: 3.0107, loss: 3.0107 +2025-05-31 04:03:45,197 - pyskl - INFO - Epoch [29][2300/2353] lr: 2.277e-02, eta: 1 day, 10:53:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9706, loss_cls: 3.0371, loss: 3.0371 +2025-05-31 04:04:09,197 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-05-31 04:05:37,946 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 04:05:38,024 - pyskl - INFO - +top1_acc 0.8740 +top5_acc 0.9870 +2025-05-31 04:05:38,078 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_26.pth was removed +2025-05-31 04:05:39,104 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. +2025-05-31 04:05:39,105 - pyskl - INFO - Best top1_acc is 0.8740 at 29 epoch. +2025-05-31 04:05:39,108 - pyskl - INFO - Epoch(val) [29][1184] top1_acc: 0.8740, top5_acc: 0.9870 +2025-05-31 04:06:43,562 - pyskl - INFO - Epoch [30][100/2353] lr: 2.276e-02, eta: 1 day, 10:51:46, time: 0.645, data_time: 0.201, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9806, loss_cls: 2.8250, loss: 2.8250 +2025-05-31 04:07:27,919 - pyskl - INFO - Epoch [30][200/2353] lr: 2.275e-02, eta: 1 day, 10:51:03, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9769, loss_cls: 2.9067, loss: 2.9067 +2025-05-31 04:08:12,204 - pyskl - INFO - Epoch [30][300/2353] lr: 2.275e-02, eta: 1 day, 10:50:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 2.9458, loss: 2.9458 +2025-05-31 04:08:56,454 - pyskl - INFO - Epoch [30][400/2353] lr: 2.274e-02, eta: 1 day, 10:49:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9825, loss_cls: 2.9923, loss: 2.9923 +2025-05-31 04:09:40,751 - pyskl - INFO - Epoch [30][500/2353] lr: 2.273e-02, eta: 1 day, 10:48:53, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9806, loss_cls: 2.9456, loss: 2.9456 +2025-05-31 04:10:24,966 - pyskl - INFO - Epoch [30][600/2353] lr: 2.273e-02, eta: 1 day, 10:48:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9788, loss_cls: 2.9071, loss: 2.9071 +2025-05-31 04:11:09,141 - pyskl - INFO - Epoch [30][700/2353] lr: 2.272e-02, eta: 1 day, 10:47:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9756, loss_cls: 3.0671, loss: 3.0671 +2025-05-31 04:11:53,269 - pyskl - INFO - Epoch [30][800/2353] lr: 2.271e-02, eta: 1 day, 10:46:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9781, loss_cls: 2.8942, loss: 2.8942 +2025-05-31 04:12:37,416 - pyskl - INFO - Epoch [30][900/2353] lr: 2.271e-02, eta: 1 day, 10:45:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9819, loss_cls: 2.9341, loss: 2.9341 +2025-05-31 04:13:21,521 - pyskl - INFO - Epoch [30][1000/2353] lr: 2.270e-02, eta: 1 day, 10:45:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9725, loss_cls: 2.9688, loss: 2.9688 +2025-05-31 04:14:05,688 - pyskl - INFO - Epoch [30][1100/2353] lr: 2.269e-02, eta: 1 day, 10:44:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9775, loss_cls: 3.0126, loss: 3.0126 +2025-05-31 04:14:50,067 - pyskl - INFO - Epoch [30][1200/2353] lr: 2.269e-02, eta: 1 day, 10:43:46, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9769, loss_cls: 3.1301, loss: 3.1301 +2025-05-31 04:15:34,674 - pyskl - INFO - Epoch [30][1300/2353] lr: 2.268e-02, eta: 1 day, 10:43:04, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9744, loss_cls: 3.0486, loss: 3.0486 +2025-05-31 04:16:19,012 - pyskl - INFO - Epoch [30][1400/2353] lr: 2.267e-02, eta: 1 day, 10:42:21, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9875, loss_cls: 2.9182, loss: 2.9182 +2025-05-31 04:17:03,268 - pyskl - INFO - Epoch [30][1500/2353] lr: 2.267e-02, eta: 1 day, 10:41:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9869, loss_cls: 2.9448, loss: 2.9448 +2025-05-31 04:17:47,561 - pyskl - INFO - Epoch [30][1600/2353] lr: 2.266e-02, eta: 1 day, 10:40:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9794, loss_cls: 2.9168, loss: 2.9168 +2025-05-31 04:18:31,896 - pyskl - INFO - Epoch [30][1700/2353] lr: 2.266e-02, eta: 1 day, 10:40:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9762, loss_cls: 2.9202, loss: 2.9202 +2025-05-31 04:19:16,208 - pyskl - INFO - Epoch [30][1800/2353] lr: 2.265e-02, eta: 1 day, 10:39:28, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9788, loss_cls: 2.8972, loss: 2.8972 +2025-05-31 04:20:00,443 - pyskl - INFO - Epoch [30][1900/2353] lr: 2.264e-02, eta: 1 day, 10:38:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9781, loss_cls: 2.9964, loss: 2.9964 +2025-05-31 04:20:44,715 - pyskl - INFO - Epoch [30][2000/2353] lr: 2.264e-02, eta: 1 day, 10:38:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9712, loss_cls: 2.9864, loss: 2.9864 +2025-05-31 04:21:28,929 - pyskl - INFO - Epoch [30][2100/2353] lr: 2.263e-02, eta: 1 day, 10:37:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9769, loss_cls: 2.9545, loss: 2.9545 +2025-05-31 04:22:13,187 - pyskl - INFO - Epoch [30][2200/2353] lr: 2.262e-02, eta: 1 day, 10:36:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9806, loss_cls: 2.8886, loss: 2.8886 +2025-05-31 04:22:57,469 - pyskl - INFO - Epoch [30][2300/2353] lr: 2.262e-02, eta: 1 day, 10:35:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9706, loss_cls: 2.9862, loss: 2.9862 +2025-05-31 04:23:21,537 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-05-31 04:32:04,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 04:32:04,919 - pyskl - INFO - +top1_acc 0.8569 +top5_acc 0.9856 +2025-05-31 04:32:04,923 - pyskl - INFO - Epoch(val) [30][1184] top1_acc: 0.8569, top5_acc: 0.9856 +2025-05-31 04:33:09,076 - pyskl - INFO - Epoch [31][100/2353] lr: 2.261e-02, eta: 1 day, 10:34:30, time: 0.641, data_time: 0.201, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9812, loss_cls: 2.9444, loss: 2.9444 +2025-05-31 04:33:53,436 - pyskl - INFO - Epoch [31][200/2353] lr: 2.260e-02, eta: 1 day, 10:33:47, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9838, loss_cls: 2.8578, loss: 2.8578 +2025-05-31 04:34:37,724 - pyskl - INFO - Epoch [31][300/2353] lr: 2.259e-02, eta: 1 day, 10:33:03, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9812, loss_cls: 2.7910, loss: 2.7910 +2025-05-31 04:35:22,180 - pyskl - INFO - Epoch [31][400/2353] lr: 2.259e-02, eta: 1 day, 10:32:21, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9831, loss_cls: 2.8808, loss: 2.8808 +2025-05-31 04:36:06,358 - pyskl - INFO - Epoch [31][500/2353] lr: 2.258e-02, eta: 1 day, 10:31:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9800, loss_cls: 2.9324, loss: 2.9324 +2025-05-31 04:36:50,636 - pyskl - INFO - Epoch [31][600/2353] lr: 2.257e-02, eta: 1 day, 10:30:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9856, loss_cls: 2.9104, loss: 2.9104 +2025-05-31 04:37:34,791 - pyskl - INFO - Epoch [31][700/2353] lr: 2.257e-02, eta: 1 day, 10:30:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9844, loss_cls: 2.8577, loss: 2.8577 +2025-05-31 04:38:18,737 - pyskl - INFO - Epoch [31][800/2353] lr: 2.256e-02, eta: 1 day, 10:29:25, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9838, loss_cls: 2.8743, loss: 2.8743 +2025-05-31 04:39:02,783 - pyskl - INFO - Epoch [31][900/2353] lr: 2.255e-02, eta: 1 day, 10:28:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9731, loss_cls: 2.9719, loss: 2.9719 +2025-05-31 04:39:46,626 - pyskl - INFO - Epoch [31][1000/2353] lr: 2.255e-02, eta: 1 day, 10:27:56, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9812, loss_cls: 2.9685, loss: 2.9685 +2025-05-31 04:40:30,787 - pyskl - INFO - Epoch [31][1100/2353] lr: 2.254e-02, eta: 1 day, 10:27:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9781, loss_cls: 3.0016, loss: 3.0016 +2025-05-31 04:41:14,981 - pyskl - INFO - Epoch [31][1200/2353] lr: 2.253e-02, eta: 1 day, 10:26:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 2.9466, loss: 2.9466 +2025-05-31 04:41:59,312 - pyskl - INFO - Epoch [31][1300/2353] lr: 2.253e-02, eta: 1 day, 10:25:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9762, loss_cls: 3.0123, loss: 3.0123 +2025-05-31 04:42:43,560 - pyskl - INFO - Epoch [31][1400/2353] lr: 2.252e-02, eta: 1 day, 10:25:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9762, loss_cls: 3.0102, loss: 3.0102 +2025-05-31 04:43:27,771 - pyskl - INFO - Epoch [31][1500/2353] lr: 2.251e-02, eta: 1 day, 10:24:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9706, loss_cls: 2.9838, loss: 2.9838 +2025-05-31 04:44:11,937 - pyskl - INFO - Epoch [31][1600/2353] lr: 2.251e-02, eta: 1 day, 10:23:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9812, loss_cls: 2.9069, loss: 2.9069 +2025-05-31 04:44:56,191 - pyskl - INFO - Epoch [31][1700/2353] lr: 2.250e-02, eta: 1 day, 10:22:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9800, loss_cls: 2.8888, loss: 2.8888 +2025-05-31 04:45:40,426 - pyskl - INFO - Epoch [31][1800/2353] lr: 2.249e-02, eta: 1 day, 10:22:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9738, loss_cls: 2.9193, loss: 2.9193 +2025-05-31 04:46:24,553 - pyskl - INFO - Epoch [31][1900/2353] lr: 2.249e-02, eta: 1 day, 10:21:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9788, loss_cls: 2.9700, loss: 2.9700 +2025-05-31 04:47:08,701 - pyskl - INFO - Epoch [31][2000/2353] lr: 2.248e-02, eta: 1 day, 10:20:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9725, loss_cls: 2.9191, loss: 2.9191 +2025-05-31 04:47:52,789 - pyskl - INFO - Epoch [31][2100/2353] lr: 2.247e-02, eta: 1 day, 10:19:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9775, loss_cls: 2.9830, loss: 2.9830 +2025-05-31 04:48:36,831 - pyskl - INFO - Epoch [31][2200/2353] lr: 2.247e-02, eta: 1 day, 10:19:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9769, loss_cls: 2.9452, loss: 2.9452 +2025-05-31 04:49:21,007 - pyskl - INFO - Epoch [31][2300/2353] lr: 2.246e-02, eta: 1 day, 10:18:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9769, loss_cls: 2.9227, loss: 2.9227 +2025-05-31 04:49:45,011 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-05-31 04:51:14,135 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 04:51:14,212 - pyskl - INFO - +top1_acc 0.8407 +top5_acc 0.9783 +2025-05-31 04:51:14,216 - pyskl - INFO - Epoch(val) [31][1184] top1_acc: 0.8407, top5_acc: 0.9783 +2025-05-31 04:52:18,707 - pyskl - INFO - Epoch [32][100/2353] lr: 2.245e-02, eta: 1 day, 10:17:08, time: 0.645, data_time: 0.200, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9831, loss_cls: 2.8861, loss: 2.8861 +2025-05-31 04:53:02,940 - pyskl - INFO - Epoch [32][200/2353] lr: 2.244e-02, eta: 1 day, 10:16:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9775, loss_cls: 2.8621, loss: 2.8621 +2025-05-31 04:53:47,290 - pyskl - INFO - Epoch [32][300/2353] lr: 2.244e-02, eta: 1 day, 10:15:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9869, loss_cls: 2.9505, loss: 2.9505 +2025-05-31 04:54:31,496 - pyskl - INFO - Epoch [32][400/2353] lr: 2.243e-02, eta: 1 day, 10:14:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9788, loss_cls: 2.8967, loss: 2.8967 +2025-05-31 04:55:15,692 - pyskl - INFO - Epoch [32][500/2353] lr: 2.242e-02, eta: 1 day, 10:14:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9775, loss_cls: 2.9234, loss: 2.9234 +2025-05-31 04:55:59,877 - pyskl - INFO - Epoch [32][600/2353] lr: 2.242e-02, eta: 1 day, 10:13:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9881, loss_cls: 2.8089, loss: 2.8089 +2025-05-31 04:56:44,032 - pyskl - INFO - Epoch [32][700/2353] lr: 2.241e-02, eta: 1 day, 10:12:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9806, loss_cls: 2.9112, loss: 2.9112 +2025-05-31 04:57:28,163 - pyskl - INFO - Epoch [32][800/2353] lr: 2.240e-02, eta: 1 day, 10:12:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9775, loss_cls: 2.9437, loss: 2.9437 +2025-05-31 04:58:12,379 - pyskl - INFO - Epoch [32][900/2353] lr: 2.240e-02, eta: 1 day, 10:11:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9744, loss_cls: 2.9520, loss: 2.9520 +2025-05-31 04:58:56,506 - pyskl - INFO - Epoch [32][1000/2353] lr: 2.239e-02, eta: 1 day, 10:10:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9794, loss_cls: 2.9637, loss: 2.9637 +2025-05-31 04:59:40,681 - pyskl - INFO - Epoch [32][1100/2353] lr: 2.238e-02, eta: 1 day, 10:09:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9856, loss_cls: 2.8340, loss: 2.8340 +2025-05-31 05:00:24,941 - pyskl - INFO - Epoch [32][1200/2353] lr: 2.238e-02, eta: 1 day, 10:09:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 2.8828, loss: 2.8828 +2025-05-31 05:01:09,313 - pyskl - INFO - Epoch [32][1300/2353] lr: 2.237e-02, eta: 1 day, 10:08:24, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9800, loss_cls: 2.9644, loss: 2.9644 +2025-05-31 05:01:53,557 - pyskl - INFO - Epoch [32][1400/2353] lr: 2.236e-02, eta: 1 day, 10:07:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9856, loss_cls: 2.9029, loss: 2.9029 +2025-05-31 05:02:37,765 - pyskl - INFO - Epoch [32][1500/2353] lr: 2.235e-02, eta: 1 day, 10:06:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9769, loss_cls: 2.9690, loss: 2.9690 +2025-05-31 05:03:22,013 - pyskl - INFO - Epoch [32][1600/2353] lr: 2.235e-02, eta: 1 day, 10:06:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9806, loss_cls: 2.9285, loss: 2.9285 +2025-05-31 05:04:06,137 - pyskl - INFO - Epoch [32][1700/2353] lr: 2.234e-02, eta: 1 day, 10:05:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9750, loss_cls: 2.9393, loss: 2.9393 +2025-05-31 05:04:50,294 - pyskl - INFO - Epoch [32][1800/2353] lr: 2.233e-02, eta: 1 day, 10:04:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9812, loss_cls: 2.9127, loss: 2.9127 +2025-05-31 05:05:34,545 - pyskl - INFO - Epoch [32][1900/2353] lr: 2.233e-02, eta: 1 day, 10:04:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9788, loss_cls: 2.9318, loss: 2.9318 +2025-05-31 05:06:18,833 - pyskl - INFO - Epoch [32][2000/2353] lr: 2.232e-02, eta: 1 day, 10:03:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9712, loss_cls: 2.9958, loss: 2.9958 +2025-05-31 05:07:03,038 - pyskl - INFO - Epoch [32][2100/2353] lr: 2.231e-02, eta: 1 day, 10:02:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9812, loss_cls: 3.0695, loss: 3.0695 +2025-05-31 05:07:47,195 - pyskl - INFO - Epoch [32][2200/2353] lr: 2.231e-02, eta: 1 day, 10:01:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9806, loss_cls: 3.1048, loss: 3.1048 +2025-05-31 05:08:31,425 - pyskl - INFO - Epoch [32][2300/2353] lr: 2.230e-02, eta: 1 day, 10:01:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9794, loss_cls: 2.9100, loss: 2.9100 +2025-05-31 05:08:55,342 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-05-31 05:10:24,966 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 05:10:25,040 - pyskl - INFO - +top1_acc 0.8678 +top5_acc 0.9890 +2025-05-31 05:10:25,043 - pyskl - INFO - Epoch(val) [32][1184] top1_acc: 0.8678, top5_acc: 0.9890 +2025-05-31 05:11:29,701 - pyskl - INFO - Epoch [33][100/2353] lr: 2.229e-02, eta: 1 day, 9:59:49, time: 0.647, data_time: 0.204, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 2.8566, loss: 2.8566 +2025-05-31 05:12:13,954 - pyskl - INFO - Epoch [33][200/2353] lr: 2.228e-02, eta: 1 day, 9:59:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9850, loss_cls: 2.8419, loss: 2.8419 +2025-05-31 05:12:58,173 - pyskl - INFO - Epoch [33][300/2353] lr: 2.228e-02, eta: 1 day, 9:58:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9756, loss_cls: 2.9588, loss: 2.9588 +2025-05-31 05:13:42,370 - pyskl - INFO - Epoch [33][400/2353] lr: 2.227e-02, eta: 1 day, 9:57:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9700, loss_cls: 2.9408, loss: 2.9408 +2025-05-31 05:14:26,639 - pyskl - INFO - Epoch [33][500/2353] lr: 2.226e-02, eta: 1 day, 9:56:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9775, loss_cls: 2.9971, loss: 2.9971 +2025-05-31 05:15:10,885 - pyskl - INFO - Epoch [33][600/2353] lr: 2.225e-02, eta: 1 day, 9:56:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9819, loss_cls: 2.8802, loss: 2.8802 +2025-05-31 05:15:55,043 - pyskl - INFO - Epoch [33][700/2353] lr: 2.225e-02, eta: 1 day, 9:55:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9769, loss_cls: 2.9166, loss: 2.9166 +2025-05-31 05:16:39,240 - pyskl - INFO - Epoch [33][800/2353] lr: 2.224e-02, eta: 1 day, 9:54:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9788, loss_cls: 2.7998, loss: 2.7998 +2025-05-31 05:17:23,352 - pyskl - INFO - Epoch [33][900/2353] lr: 2.223e-02, eta: 1 day, 9:54:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9794, loss_cls: 2.8344, loss: 2.8344 +2025-05-31 05:18:07,473 - pyskl - INFO - Epoch [33][1000/2353] lr: 2.223e-02, eta: 1 day, 9:53:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9725, loss_cls: 3.0278, loss: 3.0278 +2025-05-31 05:18:51,680 - pyskl - INFO - Epoch [33][1100/2353] lr: 2.222e-02, eta: 1 day, 9:52:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9819, loss_cls: 2.8871, loss: 2.8871 +2025-05-31 05:19:35,846 - pyskl - INFO - Epoch [33][1200/2353] lr: 2.221e-02, eta: 1 day, 9:51:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9775, loss_cls: 3.0057, loss: 3.0057 +2025-05-31 05:20:19,976 - pyskl - INFO - Epoch [33][1300/2353] lr: 2.221e-02, eta: 1 day, 9:51:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9762, loss_cls: 2.7959, loss: 2.7959 +2025-05-31 05:21:04,127 - pyskl - INFO - Epoch [33][1400/2353] lr: 2.220e-02, eta: 1 day, 9:50:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9831, loss_cls: 2.9505, loss: 2.9505 +2025-05-31 05:21:48,312 - pyskl - INFO - Epoch [33][1500/2353] lr: 2.219e-02, eta: 1 day, 9:49:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9781, loss_cls: 2.9089, loss: 2.9089 +2025-05-31 05:22:32,467 - pyskl - INFO - Epoch [33][1600/2353] lr: 2.218e-02, eta: 1 day, 9:48:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9825, loss_cls: 2.9144, loss: 2.9144 +2025-05-31 05:23:16,632 - pyskl - INFO - Epoch [33][1700/2353] lr: 2.218e-02, eta: 1 day, 9:48:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9756, loss_cls: 2.9421, loss: 2.9421 +2025-05-31 05:24:00,770 - pyskl - INFO - Epoch [33][1800/2353] lr: 2.217e-02, eta: 1 day, 9:47:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9781, loss_cls: 2.9287, loss: 2.9287 +2025-05-31 05:24:44,968 - pyskl - INFO - Epoch [33][1900/2353] lr: 2.216e-02, eta: 1 day, 9:46:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9750, loss_cls: 3.0101, loss: 3.0101 +2025-05-31 05:25:29,102 - pyskl - INFO - Epoch [33][2000/2353] lr: 2.216e-02, eta: 1 day, 9:45:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9831, loss_cls: 2.7965, loss: 2.7965 +2025-05-31 05:26:13,338 - pyskl - INFO - Epoch [33][2100/2353] lr: 2.215e-02, eta: 1 day, 9:45:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9775, loss_cls: 3.0346, loss: 3.0346 +2025-05-31 05:26:57,505 - pyskl - INFO - Epoch [33][2200/2353] lr: 2.214e-02, eta: 1 day, 9:44:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9812, loss_cls: 2.8772, loss: 2.8772 +2025-05-31 05:27:41,689 - pyskl - INFO - Epoch [33][2300/2353] lr: 2.214e-02, eta: 1 day, 9:43:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9862, loss_cls: 2.9210, loss: 2.9210 +2025-05-31 05:28:05,723 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-05-31 05:29:34,700 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 05:29:34,776 - pyskl - INFO - +top1_acc 0.8471 +top5_acc 0.9809 +2025-05-31 05:29:34,779 - pyskl - INFO - Epoch(val) [33][1184] top1_acc: 0.8471, top5_acc: 0.9809 +2025-05-31 05:30:39,510 - pyskl - INFO - Epoch [34][100/2353] lr: 2.212e-02, eta: 1 day, 9:42:28, time: 0.647, data_time: 0.205, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9812, loss_cls: 2.9263, loss: 2.9263 +2025-05-31 05:31:23,881 - pyskl - INFO - Epoch [34][200/2353] lr: 2.212e-02, eta: 1 day, 9:41:45, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9838, loss_cls: 2.7936, loss: 2.7936 +2025-05-31 05:32:08,208 - pyskl - INFO - Epoch [34][300/2353] lr: 2.211e-02, eta: 1 day, 9:41:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9806, loss_cls: 2.7977, loss: 2.7977 +2025-05-31 05:32:52,077 - pyskl - INFO - Epoch [34][400/2353] lr: 2.210e-02, eta: 1 day, 9:40:17, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9788, loss_cls: 2.8125, loss: 2.8125 +2025-05-31 05:33:36,310 - pyskl - INFO - Epoch [34][500/2353] lr: 2.210e-02, eta: 1 day, 9:39:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9775, loss_cls: 2.9540, loss: 2.9540 +2025-05-31 05:34:20,488 - pyskl - INFO - Epoch [34][600/2353] lr: 2.209e-02, eta: 1 day, 9:38:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9806, loss_cls: 2.8486, loss: 2.8486 +2025-05-31 05:35:04,604 - pyskl - INFO - Epoch [34][700/2353] lr: 2.208e-02, eta: 1 day, 9:38:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9781, loss_cls: 2.9752, loss: 2.9752 +2025-05-31 05:35:48,774 - pyskl - INFO - Epoch [34][800/2353] lr: 2.207e-02, eta: 1 day, 9:37:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9731, loss_cls: 2.8972, loss: 2.8972 +2025-05-31 05:36:32,969 - pyskl - INFO - Epoch [34][900/2353] lr: 2.207e-02, eta: 1 day, 9:36:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9869, loss_cls: 2.7773, loss: 2.7773 +2025-05-31 05:37:17,152 - pyskl - INFO - Epoch [34][1000/2353] lr: 2.206e-02, eta: 1 day, 9:35:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9881, loss_cls: 2.9283, loss: 2.9283 +2025-05-31 05:38:01,396 - pyskl - INFO - Epoch [34][1100/2353] lr: 2.205e-02, eta: 1 day, 9:35:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9819, loss_cls: 2.8764, loss: 2.8764 +2025-05-31 05:38:45,609 - pyskl - INFO - Epoch [34][1200/2353] lr: 2.205e-02, eta: 1 day, 9:34:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9775, loss_cls: 3.0001, loss: 3.0001 +2025-05-31 05:39:29,779 - pyskl - INFO - Epoch [34][1300/2353] lr: 2.204e-02, eta: 1 day, 9:33:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9812, loss_cls: 2.9438, loss: 2.9438 +2025-05-31 05:40:13,989 - pyskl - INFO - Epoch [34][1400/2353] lr: 2.203e-02, eta: 1 day, 9:33:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9812, loss_cls: 2.9077, loss: 2.9077 +2025-05-31 05:40:58,151 - pyskl - INFO - Epoch [34][1500/2353] lr: 2.202e-02, eta: 1 day, 9:32:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9769, loss_cls: 2.8943, loss: 2.8943 +2025-05-31 05:41:42,396 - pyskl - INFO - Epoch [34][1600/2353] lr: 2.202e-02, eta: 1 day, 9:31:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9831, loss_cls: 2.9186, loss: 2.9186 +2025-05-31 05:42:26,636 - pyskl - INFO - Epoch [34][1700/2353] lr: 2.201e-02, eta: 1 day, 9:30:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9738, loss_cls: 2.9716, loss: 2.9716 +2025-05-31 05:43:10,940 - pyskl - INFO - Epoch [34][1800/2353] lr: 2.200e-02, eta: 1 day, 9:30:05, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9825, loss_cls: 2.8722, loss: 2.8722 +2025-05-31 05:43:55,247 - pyskl - INFO - Epoch [34][1900/2353] lr: 2.200e-02, eta: 1 day, 9:29:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9825, loss_cls: 2.8697, loss: 2.8697 +2025-05-31 05:44:39,521 - pyskl - INFO - Epoch [34][2000/2353] lr: 2.199e-02, eta: 1 day, 9:28:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9856, loss_cls: 2.8375, loss: 2.8375 +2025-05-31 05:45:23,688 - pyskl - INFO - Epoch [34][2100/2353] lr: 2.198e-02, eta: 1 day, 9:27:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9731, loss_cls: 3.0289, loss: 3.0289 +2025-05-31 05:46:07,974 - pyskl - INFO - Epoch [34][2200/2353] lr: 2.197e-02, eta: 1 day, 9:27:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9794, loss_cls: 2.9584, loss: 2.9584 +2025-05-31 05:46:52,129 - pyskl - INFO - Epoch [34][2300/2353] lr: 2.197e-02, eta: 1 day, 9:26:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 2.8359, loss: 2.8359 +2025-05-31 05:47:16,081 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-05-31 05:48:44,685 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 05:48:44,759 - pyskl - INFO - +top1_acc 0.8638 +top5_acc 0.9884 +2025-05-31 05:48:44,762 - pyskl - INFO - Epoch(val) [34][1184] top1_acc: 0.8638, top5_acc: 0.9884 +2025-05-31 05:49:48,184 - pyskl - INFO - Epoch [35][100/2353] lr: 2.196e-02, eta: 1 day, 9:25:06, time: 0.634, data_time: 0.194, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9800, loss_cls: 2.8797, loss: 2.8797 +2025-05-31 05:50:32,197 - pyskl - INFO - Epoch [35][200/2353] lr: 2.195e-02, eta: 1 day, 9:24:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9819, loss_cls: 2.8863, loss: 2.8863 +2025-05-31 05:51:16,479 - pyskl - INFO - Epoch [35][300/2353] lr: 2.194e-02, eta: 1 day, 9:23:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9794, loss_cls: 2.9750, loss: 2.9750 +2025-05-31 05:52:00,529 - pyskl - INFO - Epoch [35][400/2353] lr: 2.193e-02, eta: 1 day, 9:22:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9888, loss_cls: 2.8007, loss: 2.8007 +2025-05-31 05:52:44,427 - pyskl - INFO - Epoch [35][500/2353] lr: 2.193e-02, eta: 1 day, 9:22:09, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9831, loss_cls: 2.7490, loss: 2.7490 +2025-05-31 05:53:28,308 - pyskl - INFO - Epoch [35][600/2353] lr: 2.192e-02, eta: 1 day, 9:21:24, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9800, loss_cls: 2.8020, loss: 2.8020 +2025-05-31 05:54:12,207 - pyskl - INFO - Epoch [35][700/2353] lr: 2.191e-02, eta: 1 day, 9:20:39, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9788, loss_cls: 2.9667, loss: 2.9667 +2025-05-31 05:54:56,228 - pyskl - INFO - Epoch [35][800/2353] lr: 2.190e-02, eta: 1 day, 9:19:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9819, loss_cls: 2.8163, loss: 2.8163 +2025-05-31 05:55:40,261 - pyskl - INFO - Epoch [35][900/2353] lr: 2.190e-02, eta: 1 day, 9:19:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9856, loss_cls: 2.8118, loss: 2.8118 +2025-05-31 05:56:24,453 - pyskl - INFO - Epoch [35][1000/2353] lr: 2.189e-02, eta: 1 day, 9:18:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9775, loss_cls: 2.9903, loss: 2.9903 +2025-05-31 05:57:09,033 - pyskl - INFO - Epoch [35][1100/2353] lr: 2.188e-02, eta: 1 day, 9:17:45, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9756, loss_cls: 2.9992, loss: 2.9992 +2025-05-31 05:57:53,325 - pyskl - INFO - Epoch [35][1200/2353] lr: 2.187e-02, eta: 1 day, 9:17:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9781, loss_cls: 2.9472, loss: 2.9472 +2025-05-31 05:58:37,552 - pyskl - INFO - Epoch [35][1300/2353] lr: 2.187e-02, eta: 1 day, 9:16:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9719, loss_cls: 2.9264, loss: 2.9264 +2025-05-31 05:59:21,829 - pyskl - INFO - Epoch [35][1400/2353] lr: 2.186e-02, eta: 1 day, 9:15:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9825, loss_cls: 2.8592, loss: 2.8592 +2025-05-31 06:00:05,877 - pyskl - INFO - Epoch [35][1500/2353] lr: 2.185e-02, eta: 1 day, 9:14:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9806, loss_cls: 2.9206, loss: 2.9206 +2025-05-31 06:00:49,836 - pyskl - INFO - Epoch [35][1600/2353] lr: 2.185e-02, eta: 1 day, 9:14:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9806, loss_cls: 2.9059, loss: 2.9059 +2025-05-31 06:01:33,798 - pyskl - INFO - Epoch [35][1700/2353] lr: 2.184e-02, eta: 1 day, 9:13:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9775, loss_cls: 3.0109, loss: 3.0109 +2025-05-31 06:02:17,808 - pyskl - INFO - Epoch [35][1800/2353] lr: 2.183e-02, eta: 1 day, 9:12:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9769, loss_cls: 2.8656, loss: 2.8656 +2025-05-31 06:03:01,785 - pyskl - INFO - Epoch [35][1900/2353] lr: 2.182e-02, eta: 1 day, 9:11:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9769, loss_cls: 2.8720, loss: 2.8720 +2025-05-31 06:03:45,737 - pyskl - INFO - Epoch [35][2000/2353] lr: 2.182e-02, eta: 1 day, 9:11:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9794, loss_cls: 2.8755, loss: 2.8755 +2025-05-31 06:04:29,761 - pyskl - INFO - Epoch [35][2100/2353] lr: 2.181e-02, eta: 1 day, 9:10:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9825, loss_cls: 2.9928, loss: 2.9928 +2025-05-31 06:05:13,692 - pyskl - INFO - Epoch [35][2200/2353] lr: 2.180e-02, eta: 1 day, 9:09:38, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9775, loss_cls: 2.8306, loss: 2.8306 +2025-05-31 06:05:57,733 - pyskl - INFO - Epoch [35][2300/2353] lr: 2.179e-02, eta: 1 day, 9:08:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9812, loss_cls: 2.8773, loss: 2.8773 +2025-05-31 06:06:21,680 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-05-31 06:15:14,788 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 06:15:14,864 - pyskl - INFO - +top1_acc 0.8763 +top5_acc 0.9883 +2025-05-31 06:15:14,916 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_29.pth was removed +2025-05-31 06:15:15,936 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth. +2025-05-31 06:15:15,937 - pyskl - INFO - Best top1_acc is 0.8763 at 35 epoch. +2025-05-31 06:15:15,940 - pyskl - INFO - Epoch(val) [35][1184] top1_acc: 0.8763, top5_acc: 0.9883 +2025-05-31 06:16:20,252 - pyskl - INFO - Epoch [36][100/2353] lr: 2.178e-02, eta: 1 day, 9:07:36, time: 0.643, data_time: 0.202, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9875, loss_cls: 2.7387, loss: 2.7387 +2025-05-31 06:17:04,333 - pyskl - INFO - Epoch [36][200/2353] lr: 2.177e-02, eta: 1 day, 9:06:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9831, loss_cls: 2.7800, loss: 2.7800 +2025-05-31 06:17:48,402 - pyskl - INFO - Epoch [36][300/2353] lr: 2.177e-02, eta: 1 day, 9:06:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9881, loss_cls: 2.7175, loss: 2.7175 +2025-05-31 06:18:32,499 - pyskl - INFO - Epoch [36][400/2353] lr: 2.176e-02, eta: 1 day, 9:05:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9881, loss_cls: 2.7439, loss: 2.7439 +2025-05-31 06:19:16,625 - pyskl - INFO - Epoch [36][500/2353] lr: 2.175e-02, eta: 1 day, 9:04:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9775, loss_cls: 2.8379, loss: 2.8379 +2025-05-31 06:20:00,767 - pyskl - INFO - Epoch [36][600/2353] lr: 2.174e-02, eta: 1 day, 9:03:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9788, loss_cls: 3.0173, loss: 3.0173 +2025-05-31 06:20:44,882 - pyskl - INFO - Epoch [36][700/2353] lr: 2.174e-02, eta: 1 day, 9:03:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9750, loss_cls: 2.9428, loss: 2.9428 +2025-05-31 06:21:28,997 - pyskl - INFO - Epoch [36][800/2353] lr: 2.173e-02, eta: 1 day, 9:02:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9800, loss_cls: 2.9147, loss: 2.9147 +2025-05-31 06:22:13,113 - pyskl - INFO - Epoch [36][900/2353] lr: 2.172e-02, eta: 1 day, 9:01:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9819, loss_cls: 2.9849, loss: 2.9849 +2025-05-31 06:22:57,208 - pyskl - INFO - Epoch [36][1000/2353] lr: 2.171e-02, eta: 1 day, 9:01:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9800, loss_cls: 2.8891, loss: 2.8891 +2025-05-31 06:23:41,375 - pyskl - INFO - Epoch [36][1100/2353] lr: 2.171e-02, eta: 1 day, 9:00:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9788, loss_cls: 2.8677, loss: 2.8677 +2025-05-31 06:24:25,463 - pyskl - INFO - Epoch [36][1200/2353] lr: 2.170e-02, eta: 1 day, 8:59:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9869, loss_cls: 2.8236, loss: 2.8236 +2025-05-31 06:25:09,603 - pyskl - INFO - Epoch [36][1300/2353] lr: 2.169e-02, eta: 1 day, 8:58:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9731, loss_cls: 3.0372, loss: 3.0372 +2025-05-31 06:25:53,686 - pyskl - INFO - Epoch [36][1400/2353] lr: 2.168e-02, eta: 1 day, 8:58:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 2.8287, loss: 2.8287 +2025-05-31 06:26:37,732 - pyskl - INFO - Epoch [36][1500/2353] lr: 2.168e-02, eta: 1 day, 8:57:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9794, loss_cls: 2.9438, loss: 2.9438 +2025-05-31 06:27:21,809 - pyskl - INFO - Epoch [36][1600/2353] lr: 2.167e-02, eta: 1 day, 8:56:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9831, loss_cls: 2.8299, loss: 2.8299 +2025-05-31 06:28:05,895 - pyskl - INFO - Epoch [36][1700/2353] lr: 2.166e-02, eta: 1 day, 8:55:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9825, loss_cls: 2.9702, loss: 2.9702 +2025-05-31 06:28:49,949 - pyskl - INFO - Epoch [36][1800/2353] lr: 2.165e-02, eta: 1 day, 8:55:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9819, loss_cls: 2.8072, loss: 2.8072 +2025-05-31 06:29:34,005 - pyskl - INFO - Epoch [36][1900/2353] lr: 2.165e-02, eta: 1 day, 8:54:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9794, loss_cls: 2.9824, loss: 2.9824 +2025-05-31 06:30:18,045 - pyskl - INFO - Epoch [36][2000/2353] lr: 2.164e-02, eta: 1 day, 8:53:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 2.9184, loss: 2.9184 +2025-05-31 06:31:02,131 - pyskl - INFO - Epoch [36][2100/2353] lr: 2.163e-02, eta: 1 day, 8:52:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9800, loss_cls: 2.9765, loss: 2.9765 +2025-05-31 06:31:46,356 - pyskl - INFO - Epoch [36][2200/2353] lr: 2.162e-02, eta: 1 day, 8:52:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9819, loss_cls: 2.8147, loss: 2.8147 +2025-05-31 06:32:30,489 - pyskl - INFO - Epoch [36][2300/2353] lr: 2.162e-02, eta: 1 day, 8:51:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 2.7913, loss: 2.7913 +2025-05-31 06:32:54,401 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-05-31 06:34:23,702 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 06:34:23,778 - pyskl - INFO - +top1_acc 0.8567 +top5_acc 0.9861 +2025-05-31 06:34:23,781 - pyskl - INFO - Epoch(val) [36][1184] top1_acc: 0.8567, top5_acc: 0.9861 +2025-05-31 06:35:28,271 - pyskl - INFO - Epoch [37][100/2353] lr: 2.160e-02, eta: 1 day, 8:50:10, time: 0.645, data_time: 0.201, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9819, loss_cls: 2.7896, loss: 2.7896 +2025-05-31 06:36:12,513 - pyskl - INFO - Epoch [37][200/2353] lr: 2.160e-02, eta: 1 day, 8:49:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9781, loss_cls: 2.9015, loss: 2.9015 +2025-05-31 06:36:56,715 - pyskl - INFO - Epoch [37][300/2353] lr: 2.159e-02, eta: 1 day, 8:48:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9856, loss_cls: 2.8088, loss: 2.8088 +2025-05-31 06:37:40,948 - pyskl - INFO - Epoch [37][400/2353] lr: 2.158e-02, eta: 1 day, 8:47:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9881, loss_cls: 2.6990, loss: 2.6990 +2025-05-31 06:38:25,209 - pyskl - INFO - Epoch [37][500/2353] lr: 2.157e-02, eta: 1 day, 8:47:16, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9744, loss_cls: 2.8304, loss: 2.8304 +2025-05-31 06:39:09,417 - pyskl - INFO - Epoch [37][600/2353] lr: 2.157e-02, eta: 1 day, 8:46:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9819, loss_cls: 2.8571, loss: 2.8571 +2025-05-31 06:39:53,617 - pyskl - INFO - Epoch [37][700/2353] lr: 2.156e-02, eta: 1 day, 8:45:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9850, loss_cls: 2.8621, loss: 2.8621 +2025-05-31 06:40:37,865 - pyskl - INFO - Epoch [37][800/2353] lr: 2.155e-02, eta: 1 day, 8:45:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9806, loss_cls: 2.8300, loss: 2.8300 +2025-05-31 06:41:22,096 - pyskl - INFO - Epoch [37][900/2353] lr: 2.154e-02, eta: 1 day, 8:44:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9775, loss_cls: 2.8382, loss: 2.8382 +2025-05-31 06:42:06,246 - pyskl - INFO - Epoch [37][1000/2353] lr: 2.154e-02, eta: 1 day, 8:43:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9831, loss_cls: 2.9387, loss: 2.9387 +2025-05-31 06:42:50,434 - pyskl - INFO - Epoch [37][1100/2353] lr: 2.153e-02, eta: 1 day, 8:42:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 2.7806, loss: 2.7806 +2025-05-31 06:43:34,660 - pyskl - INFO - Epoch [37][1200/2353] lr: 2.152e-02, eta: 1 day, 8:42:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 2.8572, loss: 2.8572 +2025-05-31 06:44:18,914 - pyskl - INFO - Epoch [37][1300/2353] lr: 2.151e-02, eta: 1 day, 8:41:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9781, loss_cls: 2.8726, loss: 2.8726 +2025-05-31 06:45:02,890 - pyskl - INFO - Epoch [37][1400/2353] lr: 2.150e-02, eta: 1 day, 8:40:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9856, loss_cls: 2.8188, loss: 2.8188 +2025-05-31 06:45:47,074 - pyskl - INFO - Epoch [37][1500/2353] lr: 2.150e-02, eta: 1 day, 8:39:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9750, loss_cls: 2.9904, loss: 2.9904 +2025-05-31 06:46:31,268 - pyskl - INFO - Epoch [37][1600/2353] lr: 2.149e-02, eta: 1 day, 8:39:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9788, loss_cls: 2.8975, loss: 2.8975 +2025-05-31 06:47:15,471 - pyskl - INFO - Epoch [37][1700/2353] lr: 2.148e-02, eta: 1 day, 8:38:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9819, loss_cls: 2.7881, loss: 2.7881 +2025-05-31 06:47:59,386 - pyskl - INFO - Epoch [37][1800/2353] lr: 2.147e-02, eta: 1 day, 8:37:46, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9781, loss_cls: 2.9034, loss: 2.9034 +2025-05-31 06:48:43,128 - pyskl - INFO - Epoch [37][1900/2353] lr: 2.147e-02, eta: 1 day, 8:37:01, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 2.8758, loss: 2.8758 +2025-05-31 06:49:26,875 - pyskl - INFO - Epoch [37][2000/2353] lr: 2.146e-02, eta: 1 day, 8:36:16, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9850, loss_cls: 2.8380, loss: 2.8380 +2025-05-31 06:50:11,122 - pyskl - INFO - Epoch [37][2100/2353] lr: 2.145e-02, eta: 1 day, 8:35:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9731, loss_cls: 2.9462, loss: 2.9462 +2025-05-31 06:50:55,390 - pyskl - INFO - Epoch [37][2200/2353] lr: 2.144e-02, eta: 1 day, 8:34:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9856, loss_cls: 2.8727, loss: 2.8727 +2025-05-31 06:51:39,676 - pyskl - INFO - Epoch [37][2300/2353] lr: 2.144e-02, eta: 1 day, 8:34:05, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9750, loss_cls: 3.0040, loss: 3.0040 +2025-05-31 06:52:03,725 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-05-31 06:53:33,054 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 06:53:33,131 - pyskl - INFO - +top1_acc 0.8650 +top5_acc 0.9858 +2025-05-31 06:53:33,134 - pyskl - INFO - Epoch(val) [37][1184] top1_acc: 0.8650, top5_acc: 0.9858 +2025-05-31 06:54:37,080 - pyskl - INFO - Epoch [38][100/2353] lr: 2.142e-02, eta: 1 day, 8:32:47, time: 0.639, data_time: 0.199, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9781, loss_cls: 2.8553, loss: 2.8553 +2025-05-31 06:55:21,160 - pyskl - INFO - Epoch [38][200/2353] lr: 2.142e-02, eta: 1 day, 8:32:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9775, loss_cls: 2.8481, loss: 2.8481 +2025-05-31 06:56:05,172 - pyskl - INFO - Epoch [38][300/2353] lr: 2.141e-02, eta: 1 day, 8:31:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9838, loss_cls: 2.8394, loss: 2.8394 +2025-05-31 06:56:49,161 - pyskl - INFO - Epoch [38][400/2353] lr: 2.140e-02, eta: 1 day, 8:30:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9819, loss_cls: 2.7694, loss: 2.7694 +2025-05-31 06:57:33,356 - pyskl - INFO - Epoch [38][500/2353] lr: 2.139e-02, eta: 1 day, 8:29:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 2.8039, loss: 2.8039 +2025-05-31 06:58:17,409 - pyskl - INFO - Epoch [38][600/2353] lr: 2.138e-02, eta: 1 day, 8:29:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9775, loss_cls: 2.9379, loss: 2.9379 +2025-05-31 06:59:01,520 - pyskl - INFO - Epoch [38][700/2353] lr: 2.138e-02, eta: 1 day, 8:28:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9762, loss_cls: 2.8428, loss: 2.8428 +2025-05-31 06:59:45,572 - pyskl - INFO - Epoch [38][800/2353] lr: 2.137e-02, eta: 1 day, 8:27:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9812, loss_cls: 2.8143, loss: 2.8143 +2025-05-31 07:00:29,576 - pyskl - INFO - Epoch [38][900/2353] lr: 2.136e-02, eta: 1 day, 8:26:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9825, loss_cls: 2.8605, loss: 2.8605 +2025-05-31 07:01:13,606 - pyskl - INFO - Epoch [38][1000/2353] lr: 2.135e-02, eta: 1 day, 8:26:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9788, loss_cls: 2.7771, loss: 2.7771 +2025-05-31 07:01:57,697 - pyskl - INFO - Epoch [38][1100/2353] lr: 2.134e-02, eta: 1 day, 8:25:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9712, loss_cls: 2.9285, loss: 2.9285 +2025-05-31 07:02:41,820 - pyskl - INFO - Epoch [38][1200/2353] lr: 2.134e-02, eta: 1 day, 8:24:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 2.8218, loss: 2.8218 +2025-05-31 07:03:25,845 - pyskl - INFO - Epoch [38][1300/2353] lr: 2.133e-02, eta: 1 day, 8:23:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9788, loss_cls: 2.7566, loss: 2.7566 +2025-05-31 07:04:09,905 - pyskl - INFO - Epoch [38][1400/2353] lr: 2.132e-02, eta: 1 day, 8:23:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9838, loss_cls: 2.8268, loss: 2.8268 +2025-05-31 07:04:53,974 - pyskl - INFO - Epoch [38][1500/2353] lr: 2.131e-02, eta: 1 day, 8:22:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9825, loss_cls: 2.9536, loss: 2.9536 +2025-05-31 07:05:38,038 - pyskl - INFO - Epoch [38][1600/2353] lr: 2.131e-02, eta: 1 day, 8:21:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9788, loss_cls: 2.8557, loss: 2.8557 +2025-05-31 07:06:22,036 - pyskl - INFO - Epoch [38][1700/2353] lr: 2.130e-02, eta: 1 day, 8:21:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9812, loss_cls: 2.9959, loss: 2.9959 +2025-05-31 07:07:06,068 - pyskl - INFO - Epoch [38][1800/2353] lr: 2.129e-02, eta: 1 day, 8:20:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 2.8981, loss: 2.8981 +2025-05-31 07:07:50,115 - pyskl - INFO - Epoch [38][1900/2353] lr: 2.128e-02, eta: 1 day, 8:19:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9769, loss_cls: 2.8308, loss: 2.8308 +2025-05-31 07:08:34,317 - pyskl - INFO - Epoch [38][2000/2353] lr: 2.127e-02, eta: 1 day, 8:18:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9844, loss_cls: 2.8005, loss: 2.8005 +2025-05-31 07:09:18,449 - pyskl - INFO - Epoch [38][2100/2353] lr: 2.127e-02, eta: 1 day, 8:18:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9844, loss_cls: 2.8224, loss: 2.8224 +2025-05-31 07:10:02,516 - pyskl - INFO - Epoch [38][2200/2353] lr: 2.126e-02, eta: 1 day, 8:17:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9794, loss_cls: 2.8253, loss: 2.8253 +2025-05-31 07:10:46,541 - pyskl - INFO - Epoch [38][2300/2353] lr: 2.125e-02, eta: 1 day, 8:16:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9781, loss_cls: 2.8642, loss: 2.8642 +2025-05-31 07:11:10,513 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-05-31 07:12:39,759 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 07:12:39,834 - pyskl - INFO - +top1_acc 0.8737 +top5_acc 0.9875 +2025-05-31 07:12:39,837 - pyskl - INFO - Epoch(val) [38][1184] top1_acc: 0.8737, top5_acc: 0.9875 +2025-05-31 07:13:44,363 - pyskl - INFO - Epoch [39][100/2353] lr: 2.124e-02, eta: 1 day, 8:15:20, time: 0.645, data_time: 0.198, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9844, loss_cls: 2.8799, loss: 2.8799 +2025-05-31 07:14:28,507 - pyskl - INFO - Epoch [39][200/2353] lr: 2.123e-02, eta: 1 day, 8:14:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9812, loss_cls: 2.8494, loss: 2.8494 +2025-05-31 07:15:12,501 - pyskl - INFO - Epoch [39][300/2353] lr: 2.122e-02, eta: 1 day, 8:13:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9812, loss_cls: 2.8700, loss: 2.8700 +2025-05-31 07:15:56,646 - pyskl - INFO - Epoch [39][400/2353] lr: 2.121e-02, eta: 1 day, 8:13:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9788, loss_cls: 2.8971, loss: 2.8971 +2025-05-31 07:16:40,886 - pyskl - INFO - Epoch [39][500/2353] lr: 2.121e-02, eta: 1 day, 8:12:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9812, loss_cls: 2.8381, loss: 2.8381 +2025-05-31 07:17:25,181 - pyskl - INFO - Epoch [39][600/2353] lr: 2.120e-02, eta: 1 day, 8:11:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9806, loss_cls: 2.8706, loss: 2.8706 +2025-05-31 07:18:09,314 - pyskl - INFO - Epoch [39][700/2353] lr: 2.119e-02, eta: 1 day, 8:10:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 2.7448, loss: 2.7448 +2025-05-31 07:18:53,552 - pyskl - INFO - Epoch [39][800/2353] lr: 2.118e-02, eta: 1 day, 8:10:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 2.8022, loss: 2.8022 +2025-05-31 07:19:37,773 - pyskl - INFO - Epoch [39][900/2353] lr: 2.117e-02, eta: 1 day, 8:09:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9862, loss_cls: 2.8773, loss: 2.8773 +2025-05-31 07:20:22,099 - pyskl - INFO - Epoch [39][1000/2353] lr: 2.117e-02, eta: 1 day, 8:08:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9806, loss_cls: 2.8030, loss: 2.8030 +2025-05-31 07:21:06,332 - pyskl - INFO - Epoch [39][1100/2353] lr: 2.116e-02, eta: 1 day, 8:08:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9769, loss_cls: 2.7938, loss: 2.7938 +2025-05-31 07:21:50,513 - pyskl - INFO - Epoch [39][1200/2353] lr: 2.115e-02, eta: 1 day, 8:07:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9800, loss_cls: 2.8780, loss: 2.8780 +2025-05-31 07:22:34,696 - pyskl - INFO - Epoch [39][1300/2353] lr: 2.114e-02, eta: 1 day, 8:06:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9794, loss_cls: 2.8578, loss: 2.8578 +2025-05-31 07:23:18,869 - pyskl - INFO - Epoch [39][1400/2353] lr: 2.113e-02, eta: 1 day, 8:05:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9788, loss_cls: 2.8453, loss: 2.8453 +2025-05-31 07:24:02,986 - pyskl - INFO - Epoch [39][1500/2353] lr: 2.113e-02, eta: 1 day, 8:05:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9794, loss_cls: 2.7545, loss: 2.7545 +2025-05-31 07:24:47,203 - pyskl - INFO - Epoch [39][1600/2353] lr: 2.112e-02, eta: 1 day, 8:04:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9769, loss_cls: 2.8438, loss: 2.8438 +2025-05-31 07:25:31,473 - pyskl - INFO - Epoch [39][1700/2353] lr: 2.111e-02, eta: 1 day, 8:03:40, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 2.7737, loss: 2.7737 +2025-05-31 07:26:15,719 - pyskl - INFO - Epoch [39][1800/2353] lr: 2.110e-02, eta: 1 day, 8:02:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 2.9812, loss: 2.9812 +2025-05-31 07:27:00,080 - pyskl - INFO - Epoch [39][1900/2353] lr: 2.109e-02, eta: 1 day, 8:02:13, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9875, loss_cls: 2.8788, loss: 2.8788 +2025-05-31 07:27:44,349 - pyskl - INFO - Epoch [39][2000/2353] lr: 2.109e-02, eta: 1 day, 8:01:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9769, loss_cls: 2.9499, loss: 2.9499 +2025-05-31 07:28:28,563 - pyskl - INFO - Epoch [39][2100/2353] lr: 2.108e-02, eta: 1 day, 8:00:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9806, loss_cls: 2.7528, loss: 2.7528 +2025-05-31 07:29:12,770 - pyskl - INFO - Epoch [39][2200/2353] lr: 2.107e-02, eta: 1 day, 8:00:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9812, loss_cls: 2.8218, loss: 2.8218 +2025-05-31 07:29:56,969 - pyskl - INFO - Epoch [39][2300/2353] lr: 2.106e-02, eta: 1 day, 7:59:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9769, loss_cls: 2.8917, loss: 2.8917 +2025-05-31 07:30:20,935 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-05-31 07:31:49,518 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 07:31:49,592 - pyskl - INFO - +top1_acc 0.8587 +top5_acc 0.9860 +2025-05-31 07:31:49,595 - pyskl - INFO - Epoch(val) [39][1184] top1_acc: 0.8587, top5_acc: 0.9860 +2025-05-31 07:32:53,201 - pyskl - INFO - Epoch [40][100/2353] lr: 2.105e-02, eta: 1 day, 7:58:00, time: 0.636, data_time: 0.198, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9869, loss_cls: 2.6300, loss: 2.6300 +2025-05-31 07:33:37,166 - pyskl - INFO - Epoch [40][200/2353] lr: 2.104e-02, eta: 1 day, 7:57:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 2.6857, loss: 2.6857 +2025-05-31 07:34:21,281 - pyskl - INFO - Epoch [40][300/2353] lr: 2.103e-02, eta: 1 day, 7:56:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 2.7295, loss: 2.7295 +2025-05-31 07:35:05,308 - pyskl - INFO - Epoch [40][400/2353] lr: 2.102e-02, eta: 1 day, 7:55:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9856, loss_cls: 2.8360, loss: 2.8360 +2025-05-31 07:35:49,379 - pyskl - INFO - Epoch [40][500/2353] lr: 2.102e-02, eta: 1 day, 7:55:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9825, loss_cls: 2.8304, loss: 2.8304 +2025-05-31 07:36:33,323 - pyskl - INFO - Epoch [40][600/2353] lr: 2.101e-02, eta: 1 day, 7:54:19, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9819, loss_cls: 2.8627, loss: 2.8627 +2025-05-31 07:37:17,307 - pyskl - INFO - Epoch [40][700/2353] lr: 2.100e-02, eta: 1 day, 7:53:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9788, loss_cls: 2.9264, loss: 2.9264 +2025-05-31 07:38:01,270 - pyskl - INFO - Epoch [40][800/2353] lr: 2.099e-02, eta: 1 day, 7:52:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9806, loss_cls: 2.6924, loss: 2.6924 +2025-05-31 07:38:45,641 - pyskl - INFO - Epoch [40][900/2353] lr: 2.098e-02, eta: 1 day, 7:52:07, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9825, loss_cls: 2.8916, loss: 2.8916 +2025-05-31 07:39:29,706 - pyskl - INFO - Epoch [40][1000/2353] lr: 2.098e-02, eta: 1 day, 7:51:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9831, loss_cls: 2.7844, loss: 2.7844 +2025-05-31 07:40:13,889 - pyskl - INFO - Epoch [40][1100/2353] lr: 2.097e-02, eta: 1 day, 7:50:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9788, loss_cls: 2.8860, loss: 2.8860 +2025-05-31 07:40:58,004 - pyskl - INFO - Epoch [40][1200/2353] lr: 2.096e-02, eta: 1 day, 7:49:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9769, loss_cls: 2.8632, loss: 2.8632 +2025-05-31 07:41:42,082 - pyskl - INFO - Epoch [40][1300/2353] lr: 2.095e-02, eta: 1 day, 7:49:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9844, loss_cls: 2.7357, loss: 2.7357 +2025-05-31 07:42:26,196 - pyskl - INFO - Epoch [40][1400/2353] lr: 2.094e-02, eta: 1 day, 7:48:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9812, loss_cls: 2.9381, loss: 2.9381 +2025-05-31 07:43:10,238 - pyskl - INFO - Epoch [40][1500/2353] lr: 2.093e-02, eta: 1 day, 7:47:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9850, loss_cls: 2.8159, loss: 2.8159 +2025-05-31 07:43:54,338 - pyskl - INFO - Epoch [40][1600/2353] lr: 2.093e-02, eta: 1 day, 7:46:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 2.7876, loss: 2.7876 +2025-05-31 07:44:38,474 - pyskl - INFO - Epoch [40][1700/2353] lr: 2.092e-02, eta: 1 day, 7:46:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9800, loss_cls: 2.8911, loss: 2.8911 +2025-05-31 07:45:22,549 - pyskl - INFO - Epoch [40][1800/2353] lr: 2.091e-02, eta: 1 day, 7:45:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9750, loss_cls: 2.9124, loss: 2.9124 +2025-05-31 07:46:06,665 - pyskl - INFO - Epoch [40][1900/2353] lr: 2.090e-02, eta: 1 day, 7:44:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9819, loss_cls: 2.9346, loss: 2.9346 +2025-05-31 07:46:50,776 - pyskl - INFO - Epoch [40][2000/2353] lr: 2.089e-02, eta: 1 day, 7:44:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9738, loss_cls: 2.9118, loss: 2.9118 +2025-05-31 07:47:34,862 - pyskl - INFO - Epoch [40][2100/2353] lr: 2.089e-02, eta: 1 day, 7:43:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9794, loss_cls: 2.9915, loss: 2.9915 +2025-05-31 07:48:18,997 - pyskl - INFO - Epoch [40][2200/2353] lr: 2.088e-02, eta: 1 day, 7:42:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9788, loss_cls: 2.8313, loss: 2.8313 +2025-05-31 07:49:03,076 - pyskl - INFO - Epoch [40][2300/2353] lr: 2.087e-02, eta: 1 day, 7:41:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9831, loss_cls: 2.7817, loss: 2.7817 +2025-05-31 07:49:27,023 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-05-31 07:58:19,937 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 07:58:20,013 - pyskl - INFO - +top1_acc 0.8734 +top5_acc 0.9866 +2025-05-31 07:58:20,017 - pyskl - INFO - Epoch(val) [40][1184] top1_acc: 0.8734, top5_acc: 0.9866 +2025-05-31 07:59:24,851 - pyskl - INFO - Epoch [41][100/2353] lr: 2.086e-02, eta: 1 day, 7:40:36, time: 0.648, data_time: 0.202, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9825, loss_cls: 2.8366, loss: 2.8366 +2025-05-31 08:00:09,312 - pyskl - INFO - Epoch [41][200/2353] lr: 2.085e-02, eta: 1 day, 7:39:53, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9831, loss_cls: 2.6393, loss: 2.6393 +2025-05-31 08:00:53,767 - pyskl - INFO - Epoch [41][300/2353] lr: 2.084e-02, eta: 1 day, 7:39:10, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9844, loss_cls: 2.7463, loss: 2.7463 +2025-05-31 08:01:38,222 - pyskl - INFO - Epoch [41][400/2353] lr: 2.083e-02, eta: 1 day, 7:38:27, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9794, loss_cls: 2.7534, loss: 2.7534 +2025-05-31 08:02:22,785 - pyskl - INFO - Epoch [41][500/2353] lr: 2.082e-02, eta: 1 day, 7:37:44, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9850, loss_cls: 2.7736, loss: 2.7736 +2025-05-31 08:03:07,138 - pyskl - INFO - Epoch [41][600/2353] lr: 2.081e-02, eta: 1 day, 7:37:01, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9756, loss_cls: 2.8741, loss: 2.8741 +2025-05-31 08:03:51,558 - pyskl - INFO - Epoch [41][700/2353] lr: 2.081e-02, eta: 1 day, 7:36:18, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 2.7635, loss: 2.7635 +2025-05-31 08:04:35,967 - pyskl - INFO - Epoch [41][800/2353] lr: 2.080e-02, eta: 1 day, 7:35:35, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9831, loss_cls: 2.8093, loss: 2.8093 +2025-05-31 08:05:20,402 - pyskl - INFO - Epoch [41][900/2353] lr: 2.079e-02, eta: 1 day, 7:34:51, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9806, loss_cls: 2.8857, loss: 2.8857 +2025-05-31 08:06:04,866 - pyskl - INFO - Epoch [41][1000/2353] lr: 2.078e-02, eta: 1 day, 7:34:08, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9812, loss_cls: 2.8358, loss: 2.8358 +2025-05-31 08:06:49,219 - pyskl - INFO - Epoch [41][1100/2353] lr: 2.077e-02, eta: 1 day, 7:33:25, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9825, loss_cls: 2.8715, loss: 2.8715 +2025-05-31 08:07:33,512 - pyskl - INFO - Epoch [41][1200/2353] lr: 2.076e-02, eta: 1 day, 7:32:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9806, loss_cls: 2.8622, loss: 2.8622 +2025-05-31 08:08:17,822 - pyskl - INFO - Epoch [41][1300/2353] lr: 2.076e-02, eta: 1 day, 7:31:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9856, loss_cls: 2.7504, loss: 2.7504 +2025-05-31 08:09:02,258 - pyskl - INFO - Epoch [41][1400/2353] lr: 2.075e-02, eta: 1 day, 7:31:15, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9731, loss_cls: 2.9285, loss: 2.9285 +2025-05-31 08:09:46,654 - pyskl - INFO - Epoch [41][1500/2353] lr: 2.074e-02, eta: 1 day, 7:30:32, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9819, loss_cls: 2.7688, loss: 2.7688 +2025-05-31 08:10:31,096 - pyskl - INFO - Epoch [41][1600/2353] lr: 2.073e-02, eta: 1 day, 7:29:49, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9769, loss_cls: 2.8425, loss: 2.8425 +2025-05-31 08:11:15,484 - pyskl - INFO - Epoch [41][1700/2353] lr: 2.072e-02, eta: 1 day, 7:29:05, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9806, loss_cls: 2.8503, loss: 2.8503 +2025-05-31 08:11:59,993 - pyskl - INFO - Epoch [41][1800/2353] lr: 2.071e-02, eta: 1 day, 7:28:22, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9838, loss_cls: 2.7551, loss: 2.7551 +2025-05-31 08:12:44,473 - pyskl - INFO - Epoch [41][1900/2353] lr: 2.071e-02, eta: 1 day, 7:27:39, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9844, loss_cls: 2.8376, loss: 2.8376 +2025-05-31 08:13:28,844 - pyskl - INFO - Epoch [41][2000/2353] lr: 2.070e-02, eta: 1 day, 7:26:56, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9788, loss_cls: 2.8704, loss: 2.8704 +2025-05-31 08:14:13,370 - pyskl - INFO - Epoch [41][2100/2353] lr: 2.069e-02, eta: 1 day, 7:26:13, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9756, loss_cls: 2.9263, loss: 2.9263 +2025-05-31 08:14:58,085 - pyskl - INFO - Epoch [41][2200/2353] lr: 2.068e-02, eta: 1 day, 7:25:31, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9825, loss_cls: 2.8966, loss: 2.8966 +2025-05-31 08:15:42,547 - pyskl - INFO - Epoch [41][2300/2353] lr: 2.067e-02, eta: 1 day, 7:24:48, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9838, loss_cls: 2.7515, loss: 2.7515 +2025-05-31 08:16:06,649 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-05-31 08:17:35,727 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 08:17:35,803 - pyskl - INFO - +top1_acc 0.8861 +top5_acc 0.9879 +2025-05-31 08:17:35,857 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_35.pth was removed +2025-05-31 08:17:36,880 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. +2025-05-31 08:17:36,881 - pyskl - INFO - Best top1_acc is 0.8861 at 41 epoch. +2025-05-31 08:17:36,884 - pyskl - INFO - Epoch(val) [41][1184] top1_acc: 0.8861, top5_acc: 0.9879 +2025-05-31 08:18:41,561 - pyskl - INFO - Epoch [42][100/2353] lr: 2.066e-02, eta: 1 day, 7:23:33, time: 0.647, data_time: 0.203, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9881, loss_cls: 2.8117, loss: 2.8117 +2025-05-31 08:19:25,942 - pyskl - INFO - Epoch [42][200/2353] lr: 2.065e-02, eta: 1 day, 7:22:50, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9844, loss_cls: 2.8646, loss: 2.8646 +2025-05-31 08:20:10,284 - pyskl - INFO - Epoch [42][300/2353] lr: 2.064e-02, eta: 1 day, 7:22:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9806, loss_cls: 2.8357, loss: 2.8357 +2025-05-31 08:20:54,703 - pyskl - INFO - Epoch [42][400/2353] lr: 2.063e-02, eta: 1 day, 7:21:23, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 2.7573, loss: 2.7573 +2025-05-31 08:21:39,103 - pyskl - INFO - Epoch [42][500/2353] lr: 2.063e-02, eta: 1 day, 7:20:40, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 2.6688, loss: 2.6688 +2025-05-31 08:22:23,365 - pyskl - INFO - Epoch [42][600/2353] lr: 2.062e-02, eta: 1 day, 7:19:56, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9825, loss_cls: 2.6851, loss: 2.6851 +2025-05-31 08:23:07,604 - pyskl - INFO - Epoch [42][700/2353] lr: 2.061e-02, eta: 1 day, 7:19:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9850, loss_cls: 2.8399, loss: 2.8399 +2025-05-31 08:23:52,021 - pyskl - INFO - Epoch [42][800/2353] lr: 2.060e-02, eta: 1 day, 7:18:29, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9819, loss_cls: 2.8052, loss: 2.8052 +2025-05-31 08:24:36,363 - pyskl - INFO - Epoch [42][900/2353] lr: 2.059e-02, eta: 1 day, 7:17:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 2.8134, loss: 2.8134 +2025-05-31 08:25:20,796 - pyskl - INFO - Epoch [42][1000/2353] lr: 2.058e-02, eta: 1 day, 7:17:03, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9800, loss_cls: 2.8535, loss: 2.8535 +2025-05-31 08:26:05,118 - pyskl - INFO - Epoch [42][1100/2353] lr: 2.057e-02, eta: 1 day, 7:16:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9812, loss_cls: 2.7565, loss: 2.7565 +2025-05-31 08:26:49,464 - pyskl - INFO - Epoch [42][1200/2353] lr: 2.057e-02, eta: 1 day, 7:15:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9806, loss_cls: 2.8689, loss: 2.8689 +2025-05-31 08:27:33,817 - pyskl - INFO - Epoch [42][1300/2353] lr: 2.056e-02, eta: 1 day, 7:14:53, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9788, loss_cls: 2.8127, loss: 2.8127 +2025-05-31 08:28:18,184 - pyskl - INFO - Epoch [42][1400/2353] lr: 2.055e-02, eta: 1 day, 7:14:09, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9762, loss_cls: 2.8486, loss: 2.8486 +2025-05-31 08:29:02,560 - pyskl - INFO - Epoch [42][1500/2353] lr: 2.054e-02, eta: 1 day, 7:13:26, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9806, loss_cls: 2.8795, loss: 2.8795 +2025-05-31 08:29:46,988 - pyskl - INFO - Epoch [42][1600/2353] lr: 2.053e-02, eta: 1 day, 7:12:43, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 2.7853, loss: 2.7853 +2025-05-31 08:30:31,301 - pyskl - INFO - Epoch [42][1700/2353] lr: 2.052e-02, eta: 1 day, 7:11:59, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9756, loss_cls: 2.9125, loss: 2.9125 +2025-05-31 08:31:15,707 - pyskl - INFO - Epoch [42][1800/2353] lr: 2.052e-02, eta: 1 day, 7:11:16, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9856, loss_cls: 2.7732, loss: 2.7732 +2025-05-31 08:32:00,111 - pyskl - INFO - Epoch [42][1900/2353] lr: 2.051e-02, eta: 1 day, 7:10:33, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9844, loss_cls: 2.7729, loss: 2.7729 +2025-05-31 08:32:44,628 - pyskl - INFO - Epoch [42][2000/2353] lr: 2.050e-02, eta: 1 day, 7:09:50, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 2.7408, loss: 2.7408 +2025-05-31 08:33:29,084 - pyskl - INFO - Epoch [42][2100/2353] lr: 2.049e-02, eta: 1 day, 7:09:07, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9862, loss_cls: 2.8576, loss: 2.8576 +2025-05-31 08:34:13,632 - pyskl - INFO - Epoch [42][2200/2353] lr: 2.048e-02, eta: 1 day, 7:08:24, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9781, loss_cls: 2.8370, loss: 2.8370 +2025-05-31 08:34:58,104 - pyskl - INFO - Epoch [42][2300/2353] lr: 2.047e-02, eta: 1 day, 7:07:41, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9838, loss_cls: 2.8455, loss: 2.8455 +2025-05-31 08:35:22,263 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-05-31 08:36:51,402 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 08:36:51,476 - pyskl - INFO - +top1_acc 0.8807 +top5_acc 0.9884 +2025-05-31 08:36:51,480 - pyskl - INFO - Epoch(val) [42][1184] top1_acc: 0.8807, top5_acc: 0.9884 +2025-05-31 08:37:56,094 - pyskl - INFO - Epoch [43][100/2353] lr: 2.046e-02, eta: 1 day, 7:06:26, time: 0.646, data_time: 0.200, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9844, loss_cls: 2.6032, loss: 2.6032 +2025-05-31 08:38:40,348 - pyskl - INFO - Epoch [43][200/2353] lr: 2.045e-02, eta: 1 day, 7:05:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9838, loss_cls: 2.7875, loss: 2.7875 +2025-05-31 08:39:24,598 - pyskl - INFO - Epoch [43][300/2353] lr: 2.044e-02, eta: 1 day, 7:04:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9812, loss_cls: 2.8392, loss: 2.8392 +2025-05-31 08:40:08,774 - pyskl - INFO - Epoch [43][400/2353] lr: 2.043e-02, eta: 1 day, 7:04:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 2.7287, loss: 2.7287 +2025-05-31 08:40:52,952 - pyskl - INFO - Epoch [43][500/2353] lr: 2.042e-02, eta: 1 day, 7:03:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9806, loss_cls: 2.7909, loss: 2.7909 +2025-05-31 08:41:37,138 - pyskl - INFO - Epoch [43][600/2353] lr: 2.042e-02, eta: 1 day, 7:02:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 2.7551, loss: 2.7551 +2025-05-31 08:42:21,342 - pyskl - INFO - Epoch [43][700/2353] lr: 2.041e-02, eta: 1 day, 7:02:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9838, loss_cls: 2.7479, loss: 2.7479 +2025-05-31 08:43:05,614 - pyskl - INFO - Epoch [43][800/2353] lr: 2.040e-02, eta: 1 day, 7:01:20, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9831, loss_cls: 2.8585, loss: 2.8585 +2025-05-31 08:43:49,840 - pyskl - INFO - Epoch [43][900/2353] lr: 2.039e-02, eta: 1 day, 7:00:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9838, loss_cls: 2.7960, loss: 2.7960 +2025-05-31 08:44:34,160 - pyskl - INFO - Epoch [43][1000/2353] lr: 2.038e-02, eta: 1 day, 6:59:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9744, loss_cls: 2.8558, loss: 2.8558 +2025-05-31 08:45:18,414 - pyskl - INFO - Epoch [43][1100/2353] lr: 2.037e-02, eta: 1 day, 6:59:09, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9850, loss_cls: 2.7757, loss: 2.7757 +2025-05-31 08:46:02,541 - pyskl - INFO - Epoch [43][1200/2353] lr: 2.036e-02, eta: 1 day, 6:58:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9800, loss_cls: 2.7991, loss: 2.7991 +2025-05-31 08:46:46,673 - pyskl - INFO - Epoch [43][1300/2353] lr: 2.036e-02, eta: 1 day, 6:57:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9812, loss_cls: 2.7158, loss: 2.7158 +2025-05-31 08:47:30,784 - pyskl - INFO - Epoch [43][1400/2353] lr: 2.035e-02, eta: 1 day, 6:56:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9838, loss_cls: 2.6740, loss: 2.6740 +2025-05-31 08:48:15,002 - pyskl - INFO - Epoch [43][1500/2353] lr: 2.034e-02, eta: 1 day, 6:56:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9844, loss_cls: 2.8003, loss: 2.8003 +2025-05-31 08:48:59,246 - pyskl - INFO - Epoch [43][1600/2353] lr: 2.033e-02, eta: 1 day, 6:55:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9894, loss_cls: 2.7005, loss: 2.7005 +2025-05-31 08:49:43,544 - pyskl - INFO - Epoch [43][1700/2353] lr: 2.032e-02, eta: 1 day, 6:54:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9800, loss_cls: 2.7752, loss: 2.7752 +2025-05-31 08:50:27,652 - pyskl - INFO - Epoch [43][1800/2353] lr: 2.031e-02, eta: 1 day, 6:54:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9738, loss_cls: 2.9041, loss: 2.9041 +2025-05-31 08:51:11,805 - pyskl - INFO - Epoch [43][1900/2353] lr: 2.030e-02, eta: 1 day, 6:53:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9769, loss_cls: 2.8414, loss: 2.8414 +2025-05-31 08:51:56,340 - pyskl - INFO - Epoch [43][2000/2353] lr: 2.030e-02, eta: 1 day, 6:52:35, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9806, loss_cls: 2.8631, loss: 2.8631 +2025-05-31 08:52:40,825 - pyskl - INFO - Epoch [43][2100/2353] lr: 2.029e-02, eta: 1 day, 6:51:52, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9838, loss_cls: 2.7628, loss: 2.7628 +2025-05-31 08:53:25,134 - pyskl - INFO - Epoch [43][2200/2353] lr: 2.028e-02, eta: 1 day, 6:51:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9806, loss_cls: 2.8064, loss: 2.8064 +2025-05-31 08:54:09,357 - pyskl - INFO - Epoch [43][2300/2353] lr: 2.027e-02, eta: 1 day, 6:50:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9800, loss_cls: 2.8410, loss: 2.8410 +2025-05-31 08:54:33,321 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-05-31 08:56:02,238 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 08:56:02,313 - pyskl - INFO - +top1_acc 0.8835 +top5_acc 0.9894 +2025-05-31 08:56:02,316 - pyskl - INFO - Epoch(val) [43][1184] top1_acc: 0.8835, top5_acc: 0.9894 +2025-05-31 08:57:06,412 - pyskl - INFO - Epoch [44][100/2353] lr: 2.026e-02, eta: 1 day, 6:49:09, time: 0.641, data_time: 0.201, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9888, loss_cls: 2.7118, loss: 2.7118 +2025-05-31 08:57:50,480 - pyskl - INFO - Epoch [44][200/2353] lr: 2.025e-02, eta: 1 day, 6:48:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 2.6430, loss: 2.6430 +2025-05-31 08:58:34,683 - pyskl - INFO - Epoch [44][300/2353] lr: 2.024e-02, eta: 1 day, 6:47:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 2.6494, loss: 2.6494 +2025-05-31 08:59:18,860 - pyskl - INFO - Epoch [44][400/2353] lr: 2.023e-02, eta: 1 day, 6:46:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9862, loss_cls: 2.7011, loss: 2.7011 +2025-05-31 09:00:03,012 - pyskl - INFO - Epoch [44][500/2353] lr: 2.022e-02, eta: 1 day, 6:46:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9838, loss_cls: 2.5997, loss: 2.5997 +2025-05-31 09:00:47,108 - pyskl - INFO - Epoch [44][600/2353] lr: 2.021e-02, eta: 1 day, 6:45:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9800, loss_cls: 2.7804, loss: 2.7804 +2025-05-31 09:01:31,291 - pyskl - INFO - Epoch [44][700/2353] lr: 2.020e-02, eta: 1 day, 6:44:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9850, loss_cls: 2.8209, loss: 2.8209 +2025-05-31 09:02:15,558 - pyskl - INFO - Epoch [44][800/2353] lr: 2.019e-02, eta: 1 day, 6:44:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9825, loss_cls: 2.7532, loss: 2.7532 +2025-05-31 09:02:59,742 - pyskl - INFO - Epoch [44][900/2353] lr: 2.019e-02, eta: 1 day, 6:43:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 2.7995, loss: 2.7995 +2025-05-31 09:03:43,939 - pyskl - INFO - Epoch [44][1000/2353] lr: 2.018e-02, eta: 1 day, 6:42:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9788, loss_cls: 2.7480, loss: 2.7480 +2025-05-31 09:04:28,089 - pyskl - INFO - Epoch [44][1100/2353] lr: 2.017e-02, eta: 1 day, 6:41:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9812, loss_cls: 2.7974, loss: 2.7974 +2025-05-31 09:05:12,341 - pyskl - INFO - Epoch [44][1200/2353] lr: 2.016e-02, eta: 1 day, 6:41:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9812, loss_cls: 2.9017, loss: 2.9017 +2025-05-31 09:05:56,514 - pyskl - INFO - Epoch [44][1300/2353] lr: 2.015e-02, eta: 1 day, 6:40:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9850, loss_cls: 2.7978, loss: 2.7978 +2025-05-31 09:06:40,732 - pyskl - INFO - Epoch [44][1400/2353] lr: 2.014e-02, eta: 1 day, 6:39:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9844, loss_cls: 2.7087, loss: 2.7087 +2025-05-31 09:07:25,190 - pyskl - INFO - Epoch [44][1500/2353] lr: 2.013e-02, eta: 1 day, 6:38:55, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9788, loss_cls: 2.8349, loss: 2.8349 +2025-05-31 09:08:09,382 - pyskl - INFO - Epoch [44][1600/2353] lr: 2.012e-02, eta: 1 day, 6:38:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9781, loss_cls: 2.9036, loss: 2.9036 +2025-05-31 09:08:53,547 - pyskl - INFO - Epoch [44][1700/2353] lr: 2.012e-02, eta: 1 day, 6:37:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 2.7954, loss: 2.7954 +2025-05-31 09:09:37,708 - pyskl - INFO - Epoch [44][1800/2353] lr: 2.011e-02, eta: 1 day, 6:36:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9756, loss_cls: 2.8619, loss: 2.8619 +2025-05-31 09:10:21,852 - pyskl - INFO - Epoch [44][1900/2353] lr: 2.010e-02, eta: 1 day, 6:36:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9825, loss_cls: 2.8498, loss: 2.8498 +2025-05-31 09:11:05,853 - pyskl - INFO - Epoch [44][2000/2353] lr: 2.009e-02, eta: 1 day, 6:35:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9856, loss_cls: 2.8068, loss: 2.8068 +2025-05-31 09:11:49,700 - pyskl - INFO - Epoch [44][2100/2353] lr: 2.008e-02, eta: 1 day, 6:34:31, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 2.6883, loss: 2.6883 +2025-05-31 09:12:33,638 - pyskl - INFO - Epoch [44][2200/2353] lr: 2.007e-02, eta: 1 day, 6:33:46, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9906, loss_cls: 2.6987, loss: 2.6987 +2025-05-31 09:13:17,645 - pyskl - INFO - Epoch [44][2300/2353] lr: 2.006e-02, eta: 1 day, 6:33:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9800, loss_cls: 2.9031, loss: 2.9031 +2025-05-31 09:13:41,447 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-05-31 09:15:11,034 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 09:15:11,108 - pyskl - INFO - +top1_acc 0.8862 +top5_acc 0.9878 +2025-05-31 09:15:11,165 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_41.pth was removed +2025-05-31 09:15:12,198 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_44.pth. +2025-05-31 09:15:12,198 - pyskl - INFO - Best top1_acc is 0.8862 at 44 epoch. +2025-05-31 09:15:12,201 - pyskl - INFO - Epoch(val) [44][1184] top1_acc: 0.8862, top5_acc: 0.9878 +2025-05-31 09:16:15,932 - pyskl - INFO - Epoch [45][100/2353] lr: 2.005e-02, eta: 1 day, 6:31:46, time: 0.637, data_time: 0.195, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 2.6218, loss: 2.6218 +2025-05-31 09:16:59,995 - pyskl - INFO - Epoch [45][200/2353] lr: 2.004e-02, eta: 1 day, 6:31:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9888, loss_cls: 2.6915, loss: 2.6915 +2025-05-31 09:17:44,025 - pyskl - INFO - Epoch [45][300/2353] lr: 2.003e-02, eta: 1 day, 6:30:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9875, loss_cls: 2.7868, loss: 2.7868 +2025-05-31 09:18:28,368 - pyskl - INFO - Epoch [45][400/2353] lr: 2.002e-02, eta: 1 day, 6:29:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 2.6409, loss: 2.6409 +2025-05-31 09:19:12,761 - pyskl - INFO - Epoch [45][500/2353] lr: 2.001e-02, eta: 1 day, 6:28:50, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9750, loss_cls: 2.7713, loss: 2.7713 +2025-05-31 09:19:57,199 - pyskl - INFO - Epoch [45][600/2353] lr: 2.000e-02, eta: 1 day, 6:28:07, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9800, loss_cls: 2.7515, loss: 2.7515 +2025-05-31 09:20:41,497 - pyskl - INFO - Epoch [45][700/2353] lr: 2.000e-02, eta: 1 day, 6:27:24, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9819, loss_cls: 2.8411, loss: 2.8411 +2025-05-31 09:21:25,797 - pyskl - INFO - Epoch [45][800/2353] lr: 1.999e-02, eta: 1 day, 6:26:40, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9812, loss_cls: 2.6907, loss: 2.6907 +2025-05-31 09:22:10,128 - pyskl - INFO - Epoch [45][900/2353] lr: 1.998e-02, eta: 1 day, 6:25:56, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 2.8047, loss: 2.8047 +2025-05-31 09:22:54,510 - pyskl - INFO - Epoch [45][1000/2353] lr: 1.997e-02, eta: 1 day, 6:25:13, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9800, loss_cls: 2.8006, loss: 2.8006 +2025-05-31 09:23:38,831 - pyskl - INFO - Epoch [45][1100/2353] lr: 1.996e-02, eta: 1 day, 6:24:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9831, loss_cls: 2.7422, loss: 2.7422 +2025-05-31 09:24:23,099 - pyskl - INFO - Epoch [45][1200/2353] lr: 1.995e-02, eta: 1 day, 6:23:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9806, loss_cls: 2.7593, loss: 2.7593 +2025-05-31 09:25:07,377 - pyskl - INFO - Epoch [45][1300/2353] lr: 1.994e-02, eta: 1 day, 6:23:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 2.7866, loss: 2.7866 +2025-05-31 09:25:51,617 - pyskl - INFO - Epoch [45][1400/2353] lr: 1.993e-02, eta: 1 day, 6:22:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 2.7393, loss: 2.7393 +2025-05-31 09:26:35,866 - pyskl - INFO - Epoch [45][1500/2353] lr: 1.992e-02, eta: 1 day, 6:21:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9869, loss_cls: 2.8140, loss: 2.8140 +2025-05-31 09:27:20,157 - pyskl - INFO - Epoch [45][1600/2353] lr: 1.992e-02, eta: 1 day, 6:20:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9856, loss_cls: 2.8084, loss: 2.8084 +2025-05-31 09:28:04,489 - pyskl - INFO - Epoch [45][1700/2353] lr: 1.991e-02, eta: 1 day, 6:20:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 2.7299, loss: 2.7299 +2025-05-31 09:28:48,892 - pyskl - INFO - Epoch [45][1800/2353] lr: 1.990e-02, eta: 1 day, 6:19:24, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 2.8018, loss: 2.8018 +2025-05-31 09:29:33,244 - pyskl - INFO - Epoch [45][1900/2353] lr: 1.989e-02, eta: 1 day, 6:18:41, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 2.7178, loss: 2.7178 +2025-05-31 09:30:17,646 - pyskl - INFO - Epoch [45][2000/2353] lr: 1.988e-02, eta: 1 day, 6:17:58, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9819, loss_cls: 2.8187, loss: 2.8187 +2025-05-31 09:31:02,033 - pyskl - INFO - Epoch [45][2100/2353] lr: 1.987e-02, eta: 1 day, 6:17:14, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9819, loss_cls: 2.7081, loss: 2.7081 +2025-05-31 09:31:46,424 - pyskl - INFO - Epoch [45][2200/2353] lr: 1.986e-02, eta: 1 day, 6:16:31, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9825, loss_cls: 2.7339, loss: 2.7339 +2025-05-31 09:32:30,824 - pyskl - INFO - Epoch [45][2300/2353] lr: 1.985e-02, eta: 1 day, 6:15:48, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9800, loss_cls: 2.8396, loss: 2.8396 +2025-05-31 09:32:55,009 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-05-31 09:42:17,604 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 09:42:17,679 - pyskl - INFO - +top1_acc 0.8541 +top5_acc 0.9816 +2025-05-31 09:42:17,682 - pyskl - INFO - Epoch(val) [45][1184] top1_acc: 0.8541, top5_acc: 0.9816 +2025-05-31 09:43:21,845 - pyskl - INFO - Epoch [46][100/2353] lr: 1.984e-02, eta: 1 day, 6:14:32, time: 0.642, data_time: 0.200, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9875, loss_cls: 2.6079, loss: 2.6079 +2025-05-31 09:44:05,962 - pyskl - INFO - Epoch [46][200/2353] lr: 1.983e-02, eta: 1 day, 6:13:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 2.7438, loss: 2.7438 +2025-05-31 09:44:50,278 - pyskl - INFO - Epoch [46][300/2353] lr: 1.982e-02, eta: 1 day, 6:13:05, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9831, loss_cls: 2.7517, loss: 2.7517 +2025-05-31 09:45:34,581 - pyskl - INFO - Epoch [46][400/2353] lr: 1.981e-02, eta: 1 day, 6:12:21, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9762, loss_cls: 2.8001, loss: 2.8001 +2025-05-31 09:46:18,883 - pyskl - INFO - Epoch [46][500/2353] lr: 1.980e-02, eta: 1 day, 6:11:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9819, loss_cls: 2.6972, loss: 2.6972 +2025-05-31 09:47:03,096 - pyskl - INFO - Epoch [46][600/2353] lr: 1.979e-02, eta: 1 day, 6:10:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 2.6291, loss: 2.6291 +2025-05-31 09:47:47,132 - pyskl - INFO - Epoch [46][700/2353] lr: 1.978e-02, eta: 1 day, 6:10:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 2.7896, loss: 2.7896 +2025-05-31 09:48:31,286 - pyskl - INFO - Epoch [46][800/2353] lr: 1.978e-02, eta: 1 day, 6:09:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9794, loss_cls: 2.7358, loss: 2.7358 +2025-05-31 09:49:15,439 - pyskl - INFO - Epoch [46][900/2353] lr: 1.977e-02, eta: 1 day, 6:08:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9881, loss_cls: 2.7759, loss: 2.7759 +2025-05-31 09:49:59,584 - pyskl - INFO - Epoch [46][1000/2353] lr: 1.976e-02, eta: 1 day, 6:07:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9788, loss_cls: 2.8328, loss: 2.8328 +2025-05-31 09:50:43,673 - pyskl - INFO - Epoch [46][1100/2353] lr: 1.975e-02, eta: 1 day, 6:07:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9881, loss_cls: 2.7067, loss: 2.7067 +2025-05-31 09:51:27,841 - pyskl - INFO - Epoch [46][1200/2353] lr: 1.974e-02, eta: 1 day, 6:06:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9794, loss_cls: 2.7804, loss: 2.7804 +2025-05-31 09:52:11,957 - pyskl - INFO - Epoch [46][1300/2353] lr: 1.973e-02, eta: 1 day, 6:05:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9850, loss_cls: 2.7870, loss: 2.7870 +2025-05-31 09:52:56,157 - pyskl - INFO - Epoch [46][1400/2353] lr: 1.972e-02, eta: 1 day, 6:05:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9825, loss_cls: 2.7827, loss: 2.7827 +2025-05-31 09:53:40,335 - pyskl - INFO - Epoch [46][1500/2353] lr: 1.971e-02, eta: 1 day, 6:04:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9788, loss_cls: 2.8239, loss: 2.8239 +2025-05-31 09:54:24,464 - pyskl - INFO - Epoch [46][1600/2353] lr: 1.970e-02, eta: 1 day, 6:03:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 2.7845, loss: 2.7845 +2025-05-31 09:55:08,603 - pyskl - INFO - Epoch [46][1700/2353] lr: 1.969e-02, eta: 1 day, 6:02:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9794, loss_cls: 2.7884, loss: 2.7884 +2025-05-31 09:55:52,687 - pyskl - INFO - Epoch [46][1800/2353] lr: 1.968e-02, eta: 1 day, 6:02:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9819, loss_cls: 2.8083, loss: 2.8083 +2025-05-31 09:56:36,863 - pyskl - INFO - Epoch [46][1900/2353] lr: 1.968e-02, eta: 1 day, 6:01:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9825, loss_cls: 2.8313, loss: 2.8313 +2025-05-31 09:57:21,067 - pyskl - INFO - Epoch [46][2000/2353] lr: 1.967e-02, eta: 1 day, 6:00:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9831, loss_cls: 2.7251, loss: 2.7251 +2025-05-31 09:58:05,188 - pyskl - INFO - Epoch [46][2100/2353] lr: 1.966e-02, eta: 1 day, 5:59:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9844, loss_cls: 2.7298, loss: 2.7298 +2025-05-31 09:58:49,354 - pyskl - INFO - Epoch [46][2200/2353] lr: 1.965e-02, eta: 1 day, 5:59:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9856, loss_cls: 2.7547, loss: 2.7547 +2025-05-31 09:59:33,462 - pyskl - INFO - Epoch [46][2300/2353] lr: 1.964e-02, eta: 1 day, 5:58:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9862, loss_cls: 2.7091, loss: 2.7091 +2025-05-31 09:59:57,479 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-05-31 10:01:26,494 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 10:01:26,570 - pyskl - INFO - +top1_acc 0.9027 +top5_acc 0.9903 +2025-05-31 10:01:26,627 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_44.pth was removed +2025-05-31 10:01:27,694 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. +2025-05-31 10:01:27,695 - pyskl - INFO - Best top1_acc is 0.9027 at 46 epoch. +2025-05-31 10:01:27,698 - pyskl - INFO - Epoch(val) [46][1184] top1_acc: 0.9027, top5_acc: 0.9903 +2025-05-31 10:02:32,197 - pyskl - INFO - Epoch [47][100/2353] lr: 1.962e-02, eta: 1 day, 5:57:12, time: 0.645, data_time: 0.201, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 2.7981, loss: 2.7981 +2025-05-31 10:03:16,469 - pyskl - INFO - Epoch [47][200/2353] lr: 1.962e-02, eta: 1 day, 5:56:29, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 2.5744, loss: 2.5744 +2025-05-31 10:04:00,647 - pyskl - INFO - Epoch [47][300/2353] lr: 1.961e-02, eta: 1 day, 5:55:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9825, loss_cls: 2.6437, loss: 2.6437 +2025-05-31 10:04:44,861 - pyskl - INFO - Epoch [47][400/2353] lr: 1.960e-02, eta: 1 day, 5:55:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 2.6699, loss: 2.6699 +2025-05-31 10:05:29,120 - pyskl - INFO - Epoch [47][500/2353] lr: 1.959e-02, eta: 1 day, 5:54:17, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9812, loss_cls: 2.7911, loss: 2.7911 +2025-05-31 10:06:13,468 - pyskl - INFO - Epoch [47][600/2353] lr: 1.958e-02, eta: 1 day, 5:53:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 2.6641, loss: 2.6641 +2025-05-31 10:06:57,747 - pyskl - INFO - Epoch [47][700/2353] lr: 1.957e-02, eta: 1 day, 5:52:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9806, loss_cls: 2.8060, loss: 2.8060 +2025-05-31 10:07:42,010 - pyskl - INFO - Epoch [47][800/2353] lr: 1.956e-02, eta: 1 day, 5:52:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9825, loss_cls: 2.7824, loss: 2.7824 +2025-05-31 10:08:26,177 - pyskl - INFO - Epoch [47][900/2353] lr: 1.955e-02, eta: 1 day, 5:51:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9781, loss_cls: 2.7140, loss: 2.7140 +2025-05-31 10:09:10,038 - pyskl - INFO - Epoch [47][1000/2353] lr: 1.954e-02, eta: 1 day, 5:50:38, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9862, loss_cls: 2.7604, loss: 2.7604 +2025-05-31 10:09:54,363 - pyskl - INFO - Epoch [47][1100/2353] lr: 1.953e-02, eta: 1 day, 5:49:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 2.7947, loss: 2.7947 +2025-05-31 10:10:38,689 - pyskl - INFO - Epoch [47][1200/2353] lr: 1.952e-02, eta: 1 day, 5:49:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 2.6679, loss: 2.6679 +2025-05-31 10:11:23,083 - pyskl - INFO - Epoch [47][1300/2353] lr: 1.951e-02, eta: 1 day, 5:48:28, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9806, loss_cls: 2.9228, loss: 2.9228 +2025-05-31 10:12:07,251 - pyskl - INFO - Epoch [47][1400/2353] lr: 1.951e-02, eta: 1 day, 5:47:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9850, loss_cls: 2.7790, loss: 2.7790 +2025-05-31 10:12:51,392 - pyskl - INFO - Epoch [47][1500/2353] lr: 1.950e-02, eta: 1 day, 5:47:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9825, loss_cls: 2.6989, loss: 2.6989 +2025-05-31 10:13:35,572 - pyskl - INFO - Epoch [47][1600/2353] lr: 1.949e-02, eta: 1 day, 5:46:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9831, loss_cls: 2.7937, loss: 2.7937 +2025-05-31 10:14:19,762 - pyskl - INFO - Epoch [47][1700/2353] lr: 1.948e-02, eta: 1 day, 5:45:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9862, loss_cls: 2.6124, loss: 2.6124 +2025-05-31 10:15:03,948 - pyskl - INFO - Epoch [47][1800/2353] lr: 1.947e-02, eta: 1 day, 5:44:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.6427, loss: 2.6427 +2025-05-31 10:15:48,261 - pyskl - INFO - Epoch [47][1900/2353] lr: 1.946e-02, eta: 1 day, 5:44:04, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9850, loss_cls: 2.6417, loss: 2.6417 +2025-05-31 10:16:32,206 - pyskl - INFO - Epoch [47][2000/2353] lr: 1.945e-02, eta: 1 day, 5:43:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9775, loss_cls: 2.7860, loss: 2.7860 +2025-05-31 10:17:16,377 - pyskl - INFO - Epoch [47][2100/2353] lr: 1.944e-02, eta: 1 day, 5:42:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9800, loss_cls: 2.8282, loss: 2.8282 +2025-05-31 10:18:00,515 - pyskl - INFO - Epoch [47][2200/2353] lr: 1.943e-02, eta: 1 day, 5:41:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9800, loss_cls: 2.7247, loss: 2.7247 +2025-05-31 10:18:44,417 - pyskl - INFO - Epoch [47][2300/2353] lr: 1.942e-02, eta: 1 day, 5:41:08, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9800, loss_cls: 2.7943, loss: 2.7943 +2025-05-31 10:19:08,314 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-05-31 10:20:37,512 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 10:20:37,589 - pyskl - INFO - +top1_acc 0.8632 +top5_acc 0.9877 +2025-05-31 10:20:37,592 - pyskl - INFO - Epoch(val) [47][1184] top1_acc: 0.8632, top5_acc: 0.9877 +2025-05-31 10:21:41,450 - pyskl - INFO - Epoch [48][100/2353] lr: 1.941e-02, eta: 1 day, 5:39:52, time: 0.639, data_time: 0.199, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9819, loss_cls: 2.7038, loss: 2.7038 +2025-05-31 10:22:25,530 - pyskl - INFO - Epoch [48][200/2353] lr: 1.940e-02, eta: 1 day, 5:39:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 2.6315, loss: 2.6315 +2025-05-31 10:23:09,592 - pyskl - INFO - Epoch [48][300/2353] lr: 1.939e-02, eta: 1 day, 5:38:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.6565, loss: 2.6565 +2025-05-31 10:23:53,652 - pyskl - INFO - Epoch [48][400/2353] lr: 1.938e-02, eta: 1 day, 5:37:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9781, loss_cls: 2.7332, loss: 2.7332 +2025-05-31 10:24:37,737 - pyskl - INFO - Epoch [48][500/2353] lr: 1.937e-02, eta: 1 day, 5:36:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9831, loss_cls: 2.7133, loss: 2.7133 +2025-05-31 10:25:21,760 - pyskl - INFO - Epoch [48][600/2353] lr: 1.936e-02, eta: 1 day, 5:36:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9806, loss_cls: 2.8010, loss: 2.8010 +2025-05-31 10:26:05,816 - pyskl - INFO - Epoch [48][700/2353] lr: 1.935e-02, eta: 1 day, 5:35:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9794, loss_cls: 2.7069, loss: 2.7069 +2025-05-31 10:26:49,836 - pyskl - INFO - Epoch [48][800/2353] lr: 1.934e-02, eta: 1 day, 5:34:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9819, loss_cls: 2.7198, loss: 2.7198 +2025-05-31 10:27:33,789 - pyskl - INFO - Epoch [48][900/2353] lr: 1.933e-02, eta: 1 day, 5:33:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9856, loss_cls: 2.7263, loss: 2.7263 +2025-05-31 10:28:17,889 - pyskl - INFO - Epoch [48][1000/2353] lr: 1.932e-02, eta: 1 day, 5:33:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9806, loss_cls: 2.7029, loss: 2.7029 +2025-05-31 10:29:02,001 - pyskl - INFO - Epoch [48][1100/2353] lr: 1.932e-02, eta: 1 day, 5:32:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9794, loss_cls: 2.7265, loss: 2.7265 +2025-05-31 10:29:46,141 - pyskl - INFO - Epoch [48][1200/2353] lr: 1.931e-02, eta: 1 day, 5:31:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9831, loss_cls: 2.7299, loss: 2.7299 +2025-05-31 10:30:30,188 - pyskl - INFO - Epoch [48][1300/2353] lr: 1.930e-02, eta: 1 day, 5:31:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9862, loss_cls: 2.8040, loss: 2.8040 +2025-05-31 10:31:14,241 - pyskl - INFO - Epoch [48][1400/2353] lr: 1.929e-02, eta: 1 day, 5:30:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9862, loss_cls: 2.7815, loss: 2.7815 +2025-05-31 10:31:58,239 - pyskl - INFO - Epoch [48][1500/2353] lr: 1.928e-02, eta: 1 day, 5:29:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 2.8080, loss: 2.8080 +2025-05-31 10:32:42,264 - pyskl - INFO - Epoch [48][1600/2353] lr: 1.927e-02, eta: 1 day, 5:28:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9812, loss_cls: 2.6701, loss: 2.6701 +2025-05-31 10:33:26,101 - pyskl - INFO - Epoch [48][1700/2353] lr: 1.926e-02, eta: 1 day, 5:28:06, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9769, loss_cls: 2.8419, loss: 2.8419 +2025-05-31 10:34:10,422 - pyskl - INFO - Epoch [48][1800/2353] lr: 1.925e-02, eta: 1 day, 5:27:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9856, loss_cls: 2.7694, loss: 2.7694 +2025-05-31 10:34:54,682 - pyskl - INFO - Epoch [48][1900/2353] lr: 1.924e-02, eta: 1 day, 5:26:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 2.7066, loss: 2.7066 +2025-05-31 10:35:38,696 - pyskl - INFO - Epoch [48][2000/2353] lr: 1.923e-02, eta: 1 day, 5:25:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9900, loss_cls: 2.6246, loss: 2.6246 +2025-05-31 10:36:22,717 - pyskl - INFO - Epoch [48][2100/2353] lr: 1.922e-02, eta: 1 day, 5:25:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9825, loss_cls: 2.6181, loss: 2.6181 +2025-05-31 10:37:06,700 - pyskl - INFO - Epoch [48][2200/2353] lr: 1.921e-02, eta: 1 day, 5:24:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9900, loss_cls: 2.6991, loss: 2.6991 +2025-05-31 10:37:50,691 - pyskl - INFO - Epoch [48][2300/2353] lr: 1.920e-02, eta: 1 day, 5:23:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 2.8222, loss: 2.8222 +2025-05-31 10:38:14,616 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-05-31 10:39:43,671 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 10:39:43,748 - pyskl - INFO - +top1_acc 0.8809 +top5_acc 0.9877 +2025-05-31 10:39:43,751 - pyskl - INFO - Epoch(val) [48][1184] top1_acc: 0.8809, top5_acc: 0.9877 +2025-05-31 10:40:47,941 - pyskl - INFO - Epoch [49][100/2353] lr: 1.919e-02, eta: 1 day, 5:22:27, time: 0.642, data_time: 0.200, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9856, loss_cls: 2.6369, loss: 2.6369 +2025-05-31 10:41:32,092 - pyskl - INFO - Epoch [49][200/2353] lr: 1.918e-02, eta: 1 day, 5:21:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9856, loss_cls: 2.6857, loss: 2.6857 +2025-05-31 10:42:16,161 - pyskl - INFO - Epoch [49][300/2353] lr: 1.917e-02, eta: 1 day, 5:20:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 2.5412, loss: 2.5412 +2025-05-31 10:43:00,233 - pyskl - INFO - Epoch [49][400/2353] lr: 1.916e-02, eta: 1 day, 5:20:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 2.6565, loss: 2.6565 +2025-05-31 10:43:44,433 - pyskl - INFO - Epoch [49][500/2353] lr: 1.915e-02, eta: 1 day, 5:19:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 2.6945, loss: 2.6945 +2025-05-31 10:44:28,596 - pyskl - INFO - Epoch [49][600/2353] lr: 1.914e-02, eta: 1 day, 5:18:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9838, loss_cls: 2.7378, loss: 2.7378 +2025-05-31 10:45:12,705 - pyskl - INFO - Epoch [49][700/2353] lr: 1.913e-02, eta: 1 day, 5:18:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9881, loss_cls: 2.6762, loss: 2.6762 +2025-05-31 10:45:56,732 - pyskl - INFO - Epoch [49][800/2353] lr: 1.912e-02, eta: 1 day, 5:17:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 2.6292, loss: 2.6292 +2025-05-31 10:46:40,794 - pyskl - INFO - Epoch [49][900/2353] lr: 1.911e-02, eta: 1 day, 5:16:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 2.6403, loss: 2.6403 +2025-05-31 10:47:24,825 - pyskl - INFO - Epoch [49][1000/2353] lr: 1.910e-02, eta: 1 day, 5:15:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 2.7347, loss: 2.7347 +2025-05-31 10:48:08,880 - pyskl - INFO - Epoch [49][1100/2353] lr: 1.909e-02, eta: 1 day, 5:15:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9856, loss_cls: 2.6875, loss: 2.6875 +2025-05-31 10:48:52,889 - pyskl - INFO - Epoch [49][1200/2353] lr: 1.908e-02, eta: 1 day, 5:14:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 2.6852, loss: 2.6852 +2025-05-31 10:49:36,937 - pyskl - INFO - Epoch [49][1300/2353] lr: 1.908e-02, eta: 1 day, 5:13:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9844, loss_cls: 2.6729, loss: 2.6729 +2025-05-31 10:50:21,062 - pyskl - INFO - Epoch [49][1400/2353] lr: 1.907e-02, eta: 1 day, 5:12:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9819, loss_cls: 2.7718, loss: 2.7718 +2025-05-31 10:51:05,163 - pyskl - INFO - Epoch [49][1500/2353] lr: 1.906e-02, eta: 1 day, 5:12:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9819, loss_cls: 2.7256, loss: 2.7256 +2025-05-31 10:51:49,149 - pyskl - INFO - Epoch [49][1600/2353] lr: 1.905e-02, eta: 1 day, 5:11:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9888, loss_cls: 2.7380, loss: 2.7380 +2025-05-31 10:52:33,096 - pyskl - INFO - Epoch [49][1700/2353] lr: 1.904e-02, eta: 1 day, 5:10:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 2.8283, loss: 2.8283 +2025-05-31 10:53:17,122 - pyskl - INFO - Epoch [49][1800/2353] lr: 1.903e-02, eta: 1 day, 5:09:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9812, loss_cls: 2.6398, loss: 2.6398 +2025-05-31 10:54:01,171 - pyskl - INFO - Epoch [49][1900/2353] lr: 1.902e-02, eta: 1 day, 5:09:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9806, loss_cls: 2.7436, loss: 2.7436 +2025-05-31 10:54:45,130 - pyskl - INFO - Epoch [49][2000/2353] lr: 1.901e-02, eta: 1 day, 5:08:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 2.6741, loss: 2.6741 +2025-05-31 10:55:29,414 - pyskl - INFO - Epoch [49][2100/2353] lr: 1.900e-02, eta: 1 day, 5:07:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 2.7073, loss: 2.7073 +2025-05-31 10:56:13,513 - pyskl - INFO - Epoch [49][2200/2353] lr: 1.899e-02, eta: 1 day, 5:07:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9831, loss_cls: 2.7556, loss: 2.7556 +2025-05-31 10:56:57,394 - pyskl - INFO - Epoch [49][2300/2353] lr: 1.898e-02, eta: 1 day, 5:06:17, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9775, loss_cls: 2.7701, loss: 2.7701 +2025-05-31 10:57:21,147 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-05-31 10:58:49,868 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 10:58:49,944 - pyskl - INFO - +top1_acc 0.8942 +top5_acc 0.9909 +2025-05-31 10:58:49,947 - pyskl - INFO - Epoch(val) [49][1184] top1_acc: 0.8942, top5_acc: 0.9909 +2025-05-31 10:59:54,707 - pyskl - INFO - Epoch [50][100/2353] lr: 1.897e-02, eta: 1 day, 5:05:04, time: 0.648, data_time: 0.206, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9919, loss_cls: 2.6208, loss: 2.6208 +2025-05-31 11:00:38,928 - pyskl - INFO - Epoch [50][200/2353] lr: 1.896e-02, eta: 1 day, 5:04:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9869, loss_cls: 2.6383, loss: 2.6383 +2025-05-31 11:01:23,203 - pyskl - INFO - Epoch [50][300/2353] lr: 1.895e-02, eta: 1 day, 5:03:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9881, loss_cls: 2.6731, loss: 2.6731 +2025-05-31 11:02:07,420 - pyskl - INFO - Epoch [50][400/2353] lr: 1.894e-02, eta: 1 day, 5:02:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 2.6238, loss: 2.6238 +2025-05-31 11:02:51,641 - pyskl - INFO - Epoch [50][500/2353] lr: 1.893e-02, eta: 1 day, 5:02:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9862, loss_cls: 2.6951, loss: 2.6951 +2025-05-31 11:03:35,841 - pyskl - INFO - Epoch [50][600/2353] lr: 1.892e-02, eta: 1 day, 5:01:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9844, loss_cls: 2.7174, loss: 2.7174 +2025-05-31 11:04:20,021 - pyskl - INFO - Epoch [50][700/2353] lr: 1.891e-02, eta: 1 day, 5:00:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9825, loss_cls: 2.6885, loss: 2.6885 +2025-05-31 11:05:04,236 - pyskl - INFO - Epoch [50][800/2353] lr: 1.890e-02, eta: 1 day, 4:59:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 2.6308, loss: 2.6308 +2025-05-31 11:05:48,440 - pyskl - INFO - Epoch [50][900/2353] lr: 1.889e-02, eta: 1 day, 4:59:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 2.7077, loss: 2.7077 +2025-05-31 11:06:32,724 - pyskl - INFO - Epoch [50][1000/2353] lr: 1.888e-02, eta: 1 day, 4:58:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 2.7671, loss: 2.7671 +2025-05-31 11:07:16,889 - pyskl - INFO - Epoch [50][1100/2353] lr: 1.887e-02, eta: 1 day, 4:57:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9844, loss_cls: 2.7709, loss: 2.7709 +2025-05-31 11:08:01,056 - pyskl - INFO - Epoch [50][1200/2353] lr: 1.886e-02, eta: 1 day, 4:57:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9806, loss_cls: 2.7642, loss: 2.7642 +2025-05-31 11:08:45,264 - pyskl - INFO - Epoch [50][1300/2353] lr: 1.885e-02, eta: 1 day, 4:56:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9825, loss_cls: 2.7350, loss: 2.7350 +2025-05-31 11:09:29,398 - pyskl - INFO - Epoch [50][1400/2353] lr: 1.884e-02, eta: 1 day, 4:55:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9812, loss_cls: 2.7992, loss: 2.7992 +2025-05-31 11:10:13,814 - pyskl - INFO - Epoch [50][1500/2353] lr: 1.883e-02, eta: 1 day, 4:54:51, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9869, loss_cls: 2.6289, loss: 2.6289 +2025-05-31 11:10:58,009 - pyskl - INFO - Epoch [50][1600/2353] lr: 1.882e-02, eta: 1 day, 4:54:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9812, loss_cls: 2.6198, loss: 2.6198 +2025-05-31 11:11:42,284 - pyskl - INFO - Epoch [50][1700/2353] lr: 1.881e-02, eta: 1 day, 4:53:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9806, loss_cls: 2.7083, loss: 2.7083 +2025-05-31 11:12:26,485 - pyskl - INFO - Epoch [50][1800/2353] lr: 1.880e-02, eta: 1 day, 4:52:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9775, loss_cls: 2.7769, loss: 2.7769 +2025-05-31 11:13:10,725 - pyskl - INFO - Epoch [50][1900/2353] lr: 1.879e-02, eta: 1 day, 4:51:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9825, loss_cls: 2.7041, loss: 2.7041 +2025-05-31 11:13:54,972 - pyskl - INFO - Epoch [50][2000/2353] lr: 1.878e-02, eta: 1 day, 4:51:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9856, loss_cls: 2.6827, loss: 2.6827 +2025-05-31 11:14:39,245 - pyskl - INFO - Epoch [50][2100/2353] lr: 1.877e-02, eta: 1 day, 4:50:28, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 2.6047, loss: 2.6047 +2025-05-31 11:15:23,501 - pyskl - INFO - Epoch [50][2200/2353] lr: 1.876e-02, eta: 1 day, 4:49:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9806, loss_cls: 2.7283, loss: 2.7283 +2025-05-31 11:16:07,688 - pyskl - INFO - Epoch [50][2300/2353] lr: 1.876e-02, eta: 1 day, 4:49:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 2.6341, loss: 2.6341 +2025-05-31 11:16:31,732 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-05-31 11:25:58,262 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 11:25:58,337 - pyskl - INFO - +top1_acc 0.8915 +top5_acc 0.9909 +2025-05-31 11:25:58,341 - pyskl - INFO - Epoch(val) [50][1184] top1_acc: 0.8915, top5_acc: 0.9909 +2025-05-31 11:27:02,529 - pyskl - INFO - Epoch [51][100/2353] lr: 1.874e-02, eta: 1 day, 4:47:47, time: 0.642, data_time: 0.200, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9906, loss_cls: 2.6155, loss: 2.6155 +2025-05-31 11:27:46,615 - pyskl - INFO - Epoch [51][200/2353] lr: 1.873e-02, eta: 1 day, 4:47:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9831, loss_cls: 2.6298, loss: 2.6298 +2025-05-31 11:28:30,776 - pyskl - INFO - Epoch [51][300/2353] lr: 1.872e-02, eta: 1 day, 4:46:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9800, loss_cls: 2.6587, loss: 2.6587 +2025-05-31 11:29:15,077 - pyskl - INFO - Epoch [51][400/2353] lr: 1.871e-02, eta: 1 day, 4:45:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 2.6267, loss: 2.6267 +2025-05-31 11:29:59,215 - pyskl - INFO - Epoch [51][500/2353] lr: 1.870e-02, eta: 1 day, 4:44:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 2.4787, loss: 2.4787 +2025-05-31 11:30:43,314 - pyskl - INFO - Epoch [51][600/2353] lr: 1.869e-02, eta: 1 day, 4:44:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9831, loss_cls: 2.6740, loss: 2.6740 +2025-05-31 11:31:27,453 - pyskl - INFO - Epoch [51][700/2353] lr: 1.868e-02, eta: 1 day, 4:43:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9850, loss_cls: 2.6732, loss: 2.6732 +2025-05-31 11:32:11,568 - pyskl - INFO - Epoch [51][800/2353] lr: 1.867e-02, eta: 1 day, 4:42:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9888, loss_cls: 2.5149, loss: 2.5149 +2025-05-31 11:32:55,818 - pyskl - INFO - Epoch [51][900/2353] lr: 1.866e-02, eta: 1 day, 4:41:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9844, loss_cls: 2.7430, loss: 2.7430 +2025-05-31 11:33:39,967 - pyskl - INFO - Epoch [51][1000/2353] lr: 1.865e-02, eta: 1 day, 4:41:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 2.6499, loss: 2.6499 +2025-05-31 11:34:24,116 - pyskl - INFO - Epoch [51][1100/2353] lr: 1.864e-02, eta: 1 day, 4:40:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 2.6502, loss: 2.6502 +2025-05-31 11:35:08,312 - pyskl - INFO - Epoch [51][1200/2353] lr: 1.863e-02, eta: 1 day, 4:39:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9781, loss_cls: 2.7899, loss: 2.7899 +2025-05-31 11:35:53,035 - pyskl - INFO - Epoch [51][1300/2353] lr: 1.862e-02, eta: 1 day, 4:39:01, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9800, loss_cls: 2.6494, loss: 2.6494 +2025-05-31 11:36:37,398 - pyskl - INFO - Epoch [51][1400/2353] lr: 1.861e-02, eta: 1 day, 4:38:17, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9862, loss_cls: 2.7107, loss: 2.7107 +2025-05-31 11:37:21,584 - pyskl - INFO - Epoch [51][1500/2353] lr: 1.861e-02, eta: 1 day, 4:37:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9819, loss_cls: 2.8040, loss: 2.8040 +2025-05-31 11:38:05,749 - pyskl - INFO - Epoch [51][1600/2353] lr: 1.860e-02, eta: 1 day, 4:36:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 2.5857, loss: 2.5857 +2025-05-31 11:38:49,867 - pyskl - INFO - Epoch [51][1700/2353] lr: 1.859e-02, eta: 1 day, 4:36:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9819, loss_cls: 2.6704, loss: 2.6704 +2025-05-31 11:39:33,907 - pyskl - INFO - Epoch [51][1800/2353] lr: 1.858e-02, eta: 1 day, 4:35:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9794, loss_cls: 2.7303, loss: 2.7303 +2025-05-31 11:40:17,984 - pyskl - INFO - Epoch [51][1900/2353] lr: 1.857e-02, eta: 1 day, 4:34:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9775, loss_cls: 2.7266, loss: 2.7266 +2025-05-31 11:41:02,035 - pyskl - INFO - Epoch [51][2000/2353] lr: 1.856e-02, eta: 1 day, 4:33:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 2.7861, loss: 2.7861 +2025-05-31 11:41:46,052 - pyskl - INFO - Epoch [51][2100/2353] lr: 1.855e-02, eta: 1 day, 4:33:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9762, loss_cls: 2.6517, loss: 2.6517 +2025-05-31 11:42:30,098 - pyskl - INFO - Epoch [51][2200/2353] lr: 1.854e-02, eta: 1 day, 4:32:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 2.7061, loss: 2.7061 +2025-05-31 11:43:14,174 - pyskl - INFO - Epoch [51][2300/2353] lr: 1.853e-02, eta: 1 day, 4:31:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9850, loss_cls: 2.6891, loss: 2.6891 +2025-05-31 11:43:38,084 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-05-31 11:45:07,000 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 11:45:07,075 - pyskl - INFO - +top1_acc 0.8695 +top5_acc 0.9870 +2025-05-31 11:45:07,078 - pyskl - INFO - Epoch(val) [51][1184] top1_acc: 0.8695, top5_acc: 0.9870 +2025-05-31 11:46:11,317 - pyskl - INFO - Epoch [52][100/2353] lr: 1.851e-02, eta: 1 day, 4:30:27, time: 0.642, data_time: 0.200, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9862, loss_cls: 2.6148, loss: 2.6148 +2025-05-31 11:46:55,778 - pyskl - INFO - Epoch [52][200/2353] lr: 1.850e-02, eta: 1 day, 4:29:44, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 2.5964, loss: 2.5964 +2025-05-31 11:47:40,137 - pyskl - INFO - Epoch [52][300/2353] lr: 1.849e-02, eta: 1 day, 4:29:00, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9888, loss_cls: 2.6318, loss: 2.6318 +2025-05-31 11:48:24,517 - pyskl - INFO - Epoch [52][400/2353] lr: 1.848e-02, eta: 1 day, 4:28:17, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9850, loss_cls: 2.6182, loss: 2.6182 +2025-05-31 11:49:08,937 - pyskl - INFO - Epoch [52][500/2353] lr: 1.847e-02, eta: 1 day, 4:27:33, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9812, loss_cls: 2.6660, loss: 2.6660 +2025-05-31 11:49:53,310 - pyskl - INFO - Epoch [52][600/2353] lr: 1.846e-02, eta: 1 day, 4:26:50, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9875, loss_cls: 2.5653, loss: 2.5653 +2025-05-31 11:50:37,692 - pyskl - INFO - Epoch [52][700/2353] lr: 1.845e-02, eta: 1 day, 4:26:06, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 2.6875, loss: 2.6875 +2025-05-31 11:51:22,096 - pyskl - INFO - Epoch [52][800/2353] lr: 1.844e-02, eta: 1 day, 4:25:23, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9862, loss_cls: 2.5984, loss: 2.5984 +2025-05-31 11:52:06,609 - pyskl - INFO - Epoch [52][900/2353] lr: 1.843e-02, eta: 1 day, 4:24:40, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9850, loss_cls: 2.6441, loss: 2.6441 +2025-05-31 11:52:50,965 - pyskl - INFO - Epoch [52][1000/2353] lr: 1.842e-02, eta: 1 day, 4:23:56, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9794, loss_cls: 2.7950, loss: 2.7950 +2025-05-31 11:53:35,283 - pyskl - INFO - Epoch [52][1100/2353] lr: 1.841e-02, eta: 1 day, 4:23:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9794, loss_cls: 2.6918, loss: 2.6918 +2025-05-31 11:54:19,622 - pyskl - INFO - Epoch [52][1200/2353] lr: 1.840e-02, eta: 1 day, 4:22:29, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 2.7575, loss: 2.7575 +2025-05-31 11:55:04,102 - pyskl - INFO - Epoch [52][1300/2353] lr: 1.839e-02, eta: 1 day, 4:21:46, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9919, loss_cls: 2.5362, loss: 2.5362 +2025-05-31 11:55:48,418 - pyskl - INFO - Epoch [52][1400/2353] lr: 1.839e-02, eta: 1 day, 4:21:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9819, loss_cls: 2.6854, loss: 2.6854 +2025-05-31 11:56:33,027 - pyskl - INFO - Epoch [52][1500/2353] lr: 1.838e-02, eta: 1 day, 4:20:19, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 2.7031, loss: 2.7031 +2025-05-31 11:57:17,459 - pyskl - INFO - Epoch [52][1600/2353] lr: 1.837e-02, eta: 1 day, 4:19:36, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9844, loss_cls: 2.6580, loss: 2.6580 +2025-05-31 11:58:01,830 - pyskl - INFO - Epoch [52][1700/2353] lr: 1.836e-02, eta: 1 day, 4:18:52, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9869, loss_cls: 2.6333, loss: 2.6333 +2025-05-31 11:58:46,165 - pyskl - INFO - Epoch [52][1800/2353] lr: 1.835e-02, eta: 1 day, 4:18:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 2.6934, loss: 2.6934 +2025-05-31 11:59:30,544 - pyskl - INFO - Epoch [52][1900/2353] lr: 1.834e-02, eta: 1 day, 4:17:25, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9850, loss_cls: 2.6550, loss: 2.6550 +2025-05-31 12:00:14,909 - pyskl - INFO - Epoch [52][2000/2353] lr: 1.833e-02, eta: 1 day, 4:16:41, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9806, loss_cls: 2.6646, loss: 2.6646 +2025-05-31 12:00:59,249 - pyskl - INFO - Epoch [52][2100/2353] lr: 1.832e-02, eta: 1 day, 4:15:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9800, loss_cls: 2.7356, loss: 2.7356 +2025-05-31 12:01:43,620 - pyskl - INFO - Epoch [52][2200/2353] lr: 1.831e-02, eta: 1 day, 4:15:14, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9819, loss_cls: 2.7217, loss: 2.7217 +2025-05-31 12:02:27,992 - pyskl - INFO - Epoch [52][2300/2353] lr: 1.830e-02, eta: 1 day, 4:14:31, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9800, loss_cls: 2.7357, loss: 2.7357 +2025-05-31 12:02:52,076 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-05-31 12:04:21,182 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 12:04:21,257 - pyskl - INFO - +top1_acc 0.8778 +top5_acc 0.9875 +2025-05-31 12:04:21,260 - pyskl - INFO - Epoch(val) [52][1184] top1_acc: 0.8778, top5_acc: 0.9875 +2025-05-31 12:05:25,565 - pyskl - INFO - Epoch [53][100/2353] lr: 1.828e-02, eta: 1 day, 4:13:17, time: 0.643, data_time: 0.200, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 2.5699, loss: 2.5699 +2025-05-31 12:06:09,988 - pyskl - INFO - Epoch [53][200/2353] lr: 1.827e-02, eta: 1 day, 4:12:34, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9912, loss_cls: 2.6105, loss: 2.6105 +2025-05-31 12:06:54,439 - pyskl - INFO - Epoch [53][300/2353] lr: 1.826e-02, eta: 1 day, 4:11:51, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9869, loss_cls: 2.5862, loss: 2.5862 +2025-05-31 12:07:38,805 - pyskl - INFO - Epoch [53][400/2353] lr: 1.825e-02, eta: 1 day, 4:11:07, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 2.6508, loss: 2.6508 +2025-05-31 12:08:23,159 - pyskl - INFO - Epoch [53][500/2353] lr: 1.824e-02, eta: 1 day, 4:10:23, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9900, loss_cls: 2.6165, loss: 2.6165 +2025-05-31 12:09:07,621 - pyskl - INFO - Epoch [53][600/2353] lr: 1.823e-02, eta: 1 day, 4:09:40, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 2.6407, loss: 2.6407 +2025-05-31 12:09:52,015 - pyskl - INFO - Epoch [53][700/2353] lr: 1.822e-02, eta: 1 day, 4:08:57, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 2.6853, loss: 2.6853 +2025-05-31 12:10:36,399 - pyskl - INFO - Epoch [53][800/2353] lr: 1.821e-02, eta: 1 day, 4:08:13, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 2.5467, loss: 2.5467 +2025-05-31 12:11:20,782 - pyskl - INFO - Epoch [53][900/2353] lr: 1.820e-02, eta: 1 day, 4:07:30, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9800, loss_cls: 2.6645, loss: 2.6645 +2025-05-31 12:12:05,132 - pyskl - INFO - Epoch [53][1000/2353] lr: 1.819e-02, eta: 1 day, 4:06:46, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 2.6965, loss: 2.6965 +2025-05-31 12:12:49,401 - pyskl - INFO - Epoch [53][1100/2353] lr: 1.818e-02, eta: 1 day, 4:06:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9794, loss_cls: 2.7062, loss: 2.7062 +2025-05-31 12:13:33,795 - pyskl - INFO - Epoch [53][1200/2353] lr: 1.817e-02, eta: 1 day, 4:05:19, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9838, loss_cls: 2.6611, loss: 2.6611 +2025-05-31 12:14:18,296 - pyskl - INFO - Epoch [53][1300/2353] lr: 1.816e-02, eta: 1 day, 4:04:35, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9856, loss_cls: 2.6953, loss: 2.6953 +2025-05-31 12:15:02,702 - pyskl - INFO - Epoch [53][1400/2353] lr: 1.815e-02, eta: 1 day, 4:03:52, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9862, loss_cls: 2.6641, loss: 2.6641 +2025-05-31 12:15:47,058 - pyskl - INFO - Epoch [53][1500/2353] lr: 1.814e-02, eta: 1 day, 4:03:08, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9794, loss_cls: 2.5979, loss: 2.5979 +2025-05-31 12:16:31,425 - pyskl - INFO - Epoch [53][1600/2353] lr: 1.813e-02, eta: 1 day, 4:02:25, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9875, loss_cls: 2.6515, loss: 2.6515 +2025-05-31 12:17:15,769 - pyskl - INFO - Epoch [53][1700/2353] lr: 1.812e-02, eta: 1 day, 4:01:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9869, loss_cls: 2.5828, loss: 2.5828 +2025-05-31 12:18:00,074 - pyskl - INFO - Epoch [53][1800/2353] lr: 1.811e-02, eta: 1 day, 4:00:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9856, loss_cls: 2.6924, loss: 2.6924 +2025-05-31 12:18:44,380 - pyskl - INFO - Epoch [53][1900/2353] lr: 1.810e-02, eta: 1 day, 4:00:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9856, loss_cls: 2.6101, loss: 2.6101 +2025-05-31 12:19:28,673 - pyskl - INFO - Epoch [53][2000/2353] lr: 1.809e-02, eta: 1 day, 3:59:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9781, loss_cls: 2.7044, loss: 2.7044 +2025-05-31 12:20:12,944 - pyskl - INFO - Epoch [53][2100/2353] lr: 1.808e-02, eta: 1 day, 3:58:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9856, loss_cls: 2.6799, loss: 2.6799 +2025-05-31 12:20:57,336 - pyskl - INFO - Epoch [53][2200/2353] lr: 1.807e-02, eta: 1 day, 3:58:03, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9812, loss_cls: 2.6864, loss: 2.6864 +2025-05-31 12:21:41,669 - pyskl - INFO - Epoch [53][2300/2353] lr: 1.806e-02, eta: 1 day, 3:57:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9825, loss_cls: 2.6057, loss: 2.6057 +2025-05-31 12:22:05,735 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-05-31 12:23:34,804 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 12:23:34,879 - pyskl - INFO - +top1_acc 0.8744 +top5_acc 0.9870 +2025-05-31 12:23:34,882 - pyskl - INFO - Epoch(val) [53][1184] top1_acc: 0.8744, top5_acc: 0.9870 +2025-05-31 12:24:39,310 - pyskl - INFO - Epoch [54][100/2353] lr: 1.805e-02, eta: 1 day, 3:56:06, time: 0.644, data_time: 0.201, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9919, loss_cls: 2.5052, loss: 2.5052 +2025-05-31 12:25:23,632 - pyskl - INFO - Epoch [54][200/2353] lr: 1.804e-02, eta: 1 day, 3:55:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 2.5762, loss: 2.5762 +2025-05-31 12:26:07,893 - pyskl - INFO - Epoch [54][300/2353] lr: 1.803e-02, eta: 1 day, 3:54:39, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9862, loss_cls: 2.5863, loss: 2.5863 +2025-05-31 12:26:52,054 - pyskl - INFO - Epoch [54][400/2353] lr: 1.802e-02, eta: 1 day, 3:53:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 2.5039, loss: 2.5039 +2025-05-31 12:27:36,338 - pyskl - INFO - Epoch [54][500/2353] lr: 1.801e-02, eta: 1 day, 3:53:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9825, loss_cls: 2.6304, loss: 2.6304 +2025-05-31 12:28:20,569 - pyskl - INFO - Epoch [54][600/2353] lr: 1.800e-02, eta: 1 day, 3:52:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9900, loss_cls: 2.4725, loss: 2.4725 +2025-05-31 12:29:04,732 - pyskl - INFO - Epoch [54][700/2353] lr: 1.799e-02, eta: 1 day, 3:51:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9844, loss_cls: 2.6144, loss: 2.6144 +2025-05-31 12:29:48,897 - pyskl - INFO - Epoch [54][800/2353] lr: 1.798e-02, eta: 1 day, 3:51:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 2.5554, loss: 2.5554 +2025-05-31 12:30:33,081 - pyskl - INFO - Epoch [54][900/2353] lr: 1.797e-02, eta: 1 day, 3:50:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9862, loss_cls: 2.6432, loss: 2.6432 +2025-05-31 12:31:17,152 - pyskl - INFO - Epoch [54][1000/2353] lr: 1.796e-02, eta: 1 day, 3:49:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9800, loss_cls: 2.6995, loss: 2.6995 +2025-05-31 12:32:01,398 - pyskl - INFO - Epoch [54][1100/2353] lr: 1.795e-02, eta: 1 day, 3:48:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 2.7002, loss: 2.7002 +2025-05-31 12:32:45,627 - pyskl - INFO - Epoch [54][1200/2353] lr: 1.794e-02, eta: 1 day, 3:48:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9819, loss_cls: 2.6571, loss: 2.6571 +2025-05-31 12:33:29,768 - pyskl - INFO - Epoch [54][1300/2353] lr: 1.793e-02, eta: 1 day, 3:47:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9844, loss_cls: 2.6888, loss: 2.6888 +2025-05-31 12:34:13,864 - pyskl - INFO - Epoch [54][1400/2353] lr: 1.792e-02, eta: 1 day, 3:46:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9806, loss_cls: 2.7486, loss: 2.7486 +2025-05-31 12:34:58,033 - pyskl - INFO - Epoch [54][1500/2353] lr: 1.791e-02, eta: 1 day, 3:45:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 2.7043, loss: 2.7043 +2025-05-31 12:35:42,179 - pyskl - INFO - Epoch [54][1600/2353] lr: 1.790e-02, eta: 1 day, 3:45:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9844, loss_cls: 2.6969, loss: 2.6969 +2025-05-31 12:36:26,313 - pyskl - INFO - Epoch [54][1700/2353] lr: 1.789e-02, eta: 1 day, 3:44:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 2.5231, loss: 2.5231 +2025-05-31 12:37:10,416 - pyskl - INFO - Epoch [54][1800/2353] lr: 1.788e-02, eta: 1 day, 3:43:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 2.5356, loss: 2.5356 +2025-05-31 12:37:54,446 - pyskl - INFO - Epoch [54][1900/2353] lr: 1.787e-02, eta: 1 day, 3:42:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9856, loss_cls: 2.5952, loss: 2.5952 +2025-05-31 12:38:38,448 - pyskl - INFO - Epoch [54][2000/2353] lr: 1.786e-02, eta: 1 day, 3:42:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9831, loss_cls: 2.5729, loss: 2.5729 +2025-05-31 12:39:22,468 - pyskl - INFO - Epoch [54][2100/2353] lr: 1.785e-02, eta: 1 day, 3:41:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9919, loss_cls: 2.5978, loss: 2.5978 +2025-05-31 12:40:06,674 - pyskl - INFO - Epoch [54][2200/2353] lr: 1.784e-02, eta: 1 day, 3:40:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9788, loss_cls: 2.7716, loss: 2.7716 +2025-05-31 12:40:51,109 - pyskl - INFO - Epoch [54][2300/2353] lr: 1.783e-02, eta: 1 day, 3:40:00, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9856, loss_cls: 2.6977, loss: 2.6977 +2025-05-31 12:41:15,211 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-05-31 12:42:44,458 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 12:42:44,533 - pyskl - INFO - +top1_acc 0.8697 +top5_acc 0.9866 +2025-05-31 12:42:44,537 - pyskl - INFO - Epoch(val) [54][1184] top1_acc: 0.8697, top5_acc: 0.9866 +2025-05-31 12:43:49,103 - pyskl - INFO - Epoch [55][100/2353] lr: 1.781e-02, eta: 1 day, 3:38:48, time: 0.646, data_time: 0.205, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9875, loss_cls: 2.5434, loss: 2.5434 +2025-05-31 12:44:33,134 - pyskl - INFO - Epoch [55][200/2353] lr: 1.780e-02, eta: 1 day, 3:38:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 2.4633, loss: 2.4633 +2025-05-31 12:45:17,237 - pyskl - INFO - Epoch [55][300/2353] lr: 1.779e-02, eta: 1 day, 3:37:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 2.5745, loss: 2.5745 +2025-05-31 12:46:01,355 - pyskl - INFO - Epoch [55][400/2353] lr: 1.778e-02, eta: 1 day, 3:36:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9819, loss_cls: 2.6525, loss: 2.6525 +2025-05-31 12:46:45,395 - pyskl - INFO - Epoch [55][500/2353] lr: 1.777e-02, eta: 1 day, 3:35:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9862, loss_cls: 2.6988, loss: 2.6988 +2025-05-31 12:47:29,285 - pyskl - INFO - Epoch [55][600/2353] lr: 1.776e-02, eta: 1 day, 3:35:07, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 2.6119, loss: 2.6119 +2025-05-31 12:48:13,284 - pyskl - INFO - Epoch [55][700/2353] lr: 1.775e-02, eta: 1 day, 3:34:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 2.6032, loss: 2.6032 +2025-05-31 12:48:57,264 - pyskl - INFO - Epoch [55][800/2353] lr: 1.774e-02, eta: 1 day, 3:33:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9819, loss_cls: 2.6217, loss: 2.6217 +2025-05-31 12:49:41,411 - pyskl - INFO - Epoch [55][900/2353] lr: 1.773e-02, eta: 1 day, 3:32:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 2.7646, loss: 2.7646 +2025-05-31 12:50:25,491 - pyskl - INFO - Epoch [55][1000/2353] lr: 1.772e-02, eta: 1 day, 3:32:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9869, loss_cls: 2.6491, loss: 2.6491 +2025-05-31 12:51:09,634 - pyskl - INFO - Epoch [55][1100/2353] lr: 1.771e-02, eta: 1 day, 3:31:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9844, loss_cls: 2.5130, loss: 2.5130 +2025-05-31 12:51:53,833 - pyskl - INFO - Epoch [55][1200/2353] lr: 1.770e-02, eta: 1 day, 3:30:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 2.6299, loss: 2.6299 +2025-05-31 12:52:37,966 - pyskl - INFO - Epoch [55][1300/2353] lr: 1.769e-02, eta: 1 day, 3:29:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9819, loss_cls: 2.6282, loss: 2.6282 +2025-05-31 12:53:22,067 - pyskl - INFO - Epoch [55][1400/2353] lr: 1.768e-02, eta: 1 day, 3:29:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9819, loss_cls: 2.7099, loss: 2.7099 +2025-05-31 12:54:06,203 - pyskl - INFO - Epoch [55][1500/2353] lr: 1.767e-02, eta: 1 day, 3:28:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9819, loss_cls: 2.6812, loss: 2.6812 +2025-05-31 12:54:50,330 - pyskl - INFO - Epoch [55][1600/2353] lr: 1.766e-02, eta: 1 day, 3:27:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9825, loss_cls: 2.6844, loss: 2.6844 +2025-05-31 12:55:34,495 - pyskl - INFO - Epoch [55][1700/2353] lr: 1.765e-02, eta: 1 day, 3:27:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9812, loss_cls: 2.7138, loss: 2.7138 +2025-05-31 12:56:18,652 - pyskl - INFO - Epoch [55][1800/2353] lr: 1.764e-02, eta: 1 day, 3:26:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9800, loss_cls: 2.6208, loss: 2.6208 +2025-05-31 12:57:02,844 - pyskl - INFO - Epoch [55][1900/2353] lr: 1.763e-02, eta: 1 day, 3:25:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9819, loss_cls: 2.6227, loss: 2.6227 +2025-05-31 12:57:47,125 - pyskl - INFO - Epoch [55][2000/2353] lr: 1.762e-02, eta: 1 day, 3:24:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9819, loss_cls: 2.6815, loss: 2.6815 +2025-05-31 12:58:31,448 - pyskl - INFO - Epoch [55][2100/2353] lr: 1.761e-02, eta: 1 day, 3:24:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9888, loss_cls: 2.7937, loss: 2.7937 +2025-05-31 12:59:15,758 - pyskl - INFO - Epoch [55][2200/2353] lr: 1.760e-02, eta: 1 day, 3:23:24, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9838, loss_cls: 2.6642, loss: 2.6642 +2025-05-31 13:00:00,048 - pyskl - INFO - Epoch [55][2300/2353] lr: 1.759e-02, eta: 1 day, 3:22:40, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 2.6483, loss: 2.6483 +2025-05-31 13:00:24,129 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-05-31 13:09:38,057 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 13:09:38,132 - pyskl - INFO - +top1_acc 0.8653 +top5_acc 0.9867 +2025-05-31 13:09:38,135 - pyskl - INFO - Epoch(val) [55][1184] top1_acc: 0.8653, top5_acc: 0.9867 +2025-05-31 13:10:42,145 - pyskl - INFO - Epoch [56][100/2353] lr: 1.757e-02, eta: 1 day, 3:21:26, time: 0.640, data_time: 0.198, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9875, loss_cls: 2.6095, loss: 2.6095 +2025-05-31 13:11:26,316 - pyskl - INFO - Epoch [56][200/2353] lr: 1.756e-02, eta: 1 day, 3:20:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9912, loss_cls: 2.5777, loss: 2.5777 +2025-05-31 13:12:10,486 - pyskl - INFO - Epoch [56][300/2353] lr: 1.755e-02, eta: 1 day, 3:19:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9831, loss_cls: 2.6453, loss: 2.6453 +2025-05-31 13:12:54,673 - pyskl - INFO - Epoch [56][400/2353] lr: 1.754e-02, eta: 1 day, 3:19:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9862, loss_cls: 2.5651, loss: 2.5651 +2025-05-31 13:13:38,804 - pyskl - INFO - Epoch [56][500/2353] lr: 1.753e-02, eta: 1 day, 3:18:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 2.5430, loss: 2.5430 +2025-05-31 13:14:22,908 - pyskl - INFO - Epoch [56][600/2353] lr: 1.752e-02, eta: 1 day, 3:17:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9862, loss_cls: 2.5208, loss: 2.5208 +2025-05-31 13:15:06,960 - pyskl - INFO - Epoch [56][700/2353] lr: 1.751e-02, eta: 1 day, 3:17:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 2.6528, loss: 2.6528 +2025-05-31 13:15:51,028 - pyskl - INFO - Epoch [56][800/2353] lr: 1.750e-02, eta: 1 day, 3:16:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9869, loss_cls: 2.5846, loss: 2.5846 +2025-05-31 13:16:35,117 - pyskl - INFO - Epoch [56][900/2353] lr: 1.749e-02, eta: 1 day, 3:15:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9900, loss_cls: 2.5431, loss: 2.5431 +2025-05-31 13:17:19,262 - pyskl - INFO - Epoch [56][1000/2353] lr: 1.748e-02, eta: 1 day, 3:14:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9862, loss_cls: 2.6265, loss: 2.6265 +2025-05-31 13:18:03,424 - pyskl - INFO - Epoch [56][1100/2353] lr: 1.747e-02, eta: 1 day, 3:14:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 2.4888, loss: 2.4888 +2025-05-31 13:18:47,601 - pyskl - INFO - Epoch [56][1200/2353] lr: 1.746e-02, eta: 1 day, 3:13:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 2.5755, loss: 2.5755 +2025-05-31 13:19:31,805 - pyskl - INFO - Epoch [56][1300/2353] lr: 1.745e-02, eta: 1 day, 3:12:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9875, loss_cls: 2.5763, loss: 2.5763 +2025-05-31 13:20:15,883 - pyskl - INFO - Epoch [56][1400/2353] lr: 1.744e-02, eta: 1 day, 3:11:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9794, loss_cls: 2.5802, loss: 2.5802 +2025-05-31 13:20:59,926 - pyskl - INFO - Epoch [56][1500/2353] lr: 1.743e-02, eta: 1 day, 3:11:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9862, loss_cls: 2.6354, loss: 2.6354 +2025-05-31 13:21:43,985 - pyskl - INFO - Epoch [56][1600/2353] lr: 1.742e-02, eta: 1 day, 3:10:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 2.5529, loss: 2.5529 +2025-05-31 13:22:28,094 - pyskl - INFO - Epoch [56][1700/2353] lr: 1.741e-02, eta: 1 day, 3:09:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9812, loss_cls: 2.6482, loss: 2.6482 +2025-05-31 13:23:12,230 - pyskl - INFO - Epoch [56][1800/2353] lr: 1.740e-02, eta: 1 day, 3:08:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9806, loss_cls: 2.6409, loss: 2.6409 +2025-05-31 13:23:56,340 - pyskl - INFO - Epoch [56][1900/2353] lr: 1.739e-02, eta: 1 day, 3:08:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9875, loss_cls: 2.6395, loss: 2.6395 +2025-05-31 13:24:40,477 - pyskl - INFO - Epoch [56][2000/2353] lr: 1.738e-02, eta: 1 day, 3:07:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9812, loss_cls: 2.6716, loss: 2.6716 +2025-05-31 13:25:24,606 - pyskl - INFO - Epoch [56][2100/2353] lr: 1.737e-02, eta: 1 day, 3:06:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9819, loss_cls: 2.6771, loss: 2.6771 +2025-05-31 13:26:08,753 - pyskl - INFO - Epoch [56][2200/2353] lr: 1.736e-02, eta: 1 day, 3:06:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9850, loss_cls: 2.5451, loss: 2.5451 +2025-05-31 13:26:53,005 - pyskl - INFO - Epoch [56][2300/2353] lr: 1.735e-02, eta: 1 day, 3:05:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 2.6075, loss: 2.6075 +2025-05-31 13:27:17,113 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-05-31 13:28:46,163 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 13:28:46,238 - pyskl - INFO - +top1_acc 0.8750 +top5_acc 0.9866 +2025-05-31 13:28:46,242 - pyskl - INFO - Epoch(val) [56][1184] top1_acc: 0.8750, top5_acc: 0.9866 +2025-05-31 13:29:50,729 - pyskl - INFO - Epoch [57][100/2353] lr: 1.733e-02, eta: 1 day, 3:04:06, time: 0.645, data_time: 0.201, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9856, loss_cls: 2.6478, loss: 2.6478 +2025-05-31 13:30:35,092 - pyskl - INFO - Epoch [57][200/2353] lr: 1.732e-02, eta: 1 day, 3:03:23, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 2.4443, loss: 2.4443 +2025-05-31 13:31:19,329 - pyskl - INFO - Epoch [57][300/2353] lr: 1.731e-02, eta: 1 day, 3:02:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9875, loss_cls: 2.5220, loss: 2.5220 +2025-05-31 13:32:03,578 - pyskl - INFO - Epoch [57][400/2353] lr: 1.730e-02, eta: 1 day, 3:01:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9812, loss_cls: 2.5378, loss: 2.5378 +2025-05-31 13:32:47,797 - pyskl - INFO - Epoch [57][500/2353] lr: 1.729e-02, eta: 1 day, 3:01:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9931, loss_cls: 2.5079, loss: 2.5079 +2025-05-31 13:33:32,012 - pyskl - INFO - Epoch [57][600/2353] lr: 1.728e-02, eta: 1 day, 3:00:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 2.6268, loss: 2.6268 +2025-05-31 13:34:16,263 - pyskl - INFO - Epoch [57][700/2353] lr: 1.727e-02, eta: 1 day, 2:59:44, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9862, loss_cls: 2.5632, loss: 2.5632 +2025-05-31 13:35:00,572 - pyskl - INFO - Epoch [57][800/2353] lr: 1.726e-02, eta: 1 day, 2:59:00, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9900, loss_cls: 2.5982, loss: 2.5982 +2025-05-31 13:35:44,802 - pyskl - INFO - Epoch [57][900/2353] lr: 1.725e-02, eta: 1 day, 2:58:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9838, loss_cls: 2.5617, loss: 2.5617 +2025-05-31 13:36:29,032 - pyskl - INFO - Epoch [57][1000/2353] lr: 1.724e-02, eta: 1 day, 2:57:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9869, loss_cls: 2.6136, loss: 2.6136 +2025-05-31 13:37:13,380 - pyskl - INFO - Epoch [57][1100/2353] lr: 1.723e-02, eta: 1 day, 2:56:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9850, loss_cls: 2.7164, loss: 2.7164 +2025-05-31 13:37:57,614 - pyskl - INFO - Epoch [57][1200/2353] lr: 1.722e-02, eta: 1 day, 2:56:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9844, loss_cls: 2.6224, loss: 2.6224 +2025-05-31 13:38:41,863 - pyskl - INFO - Epoch [57][1300/2353] lr: 1.721e-02, eta: 1 day, 2:55:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9881, loss_cls: 2.6022, loss: 2.6022 +2025-05-31 13:39:26,069 - pyskl - INFO - Epoch [57][1400/2353] lr: 1.720e-02, eta: 1 day, 2:54:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9806, loss_cls: 2.6174, loss: 2.6174 +2025-05-31 13:40:10,316 - pyskl - INFO - Epoch [57][1500/2353] lr: 1.719e-02, eta: 1 day, 2:53:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9850, loss_cls: 2.6670, loss: 2.6670 +2025-05-31 13:40:54,524 - pyskl - INFO - Epoch [57][1600/2353] lr: 1.718e-02, eta: 1 day, 2:53:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 2.6408, loss: 2.6408 +2025-05-31 13:41:38,725 - pyskl - INFO - Epoch [57][1700/2353] lr: 1.717e-02, eta: 1 day, 2:52:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9762, loss_cls: 2.6189, loss: 2.6189 +2025-05-31 13:42:22,908 - pyskl - INFO - Epoch [57][1800/2353] lr: 1.716e-02, eta: 1 day, 2:51:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9862, loss_cls: 2.6651, loss: 2.6651 +2025-05-31 13:43:07,096 - pyskl - INFO - Epoch [57][1900/2353] lr: 1.715e-02, eta: 1 day, 2:50:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9806, loss_cls: 2.7161, loss: 2.7161 +2025-05-31 13:43:51,308 - pyskl - INFO - Epoch [57][2000/2353] lr: 1.714e-02, eta: 1 day, 2:50:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9812, loss_cls: 2.6172, loss: 2.6172 +2025-05-31 13:44:35,543 - pyskl - INFO - Epoch [57][2100/2353] lr: 1.713e-02, eta: 1 day, 2:49:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9831, loss_cls: 2.6521, loss: 2.6521 +2025-05-31 13:45:19,701 - pyskl - INFO - Epoch [57][2200/2353] lr: 1.712e-02, eta: 1 day, 2:48:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9825, loss_cls: 2.6628, loss: 2.6628 +2025-05-31 13:46:03,950 - pyskl - INFO - Epoch [57][2300/2353] lr: 1.711e-02, eta: 1 day, 2:48:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9838, loss_cls: 2.5887, loss: 2.5887 +2025-05-31 13:46:27,974 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-05-31 13:47:57,072 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 13:47:57,146 - pyskl - INFO - +top1_acc 0.8735 +top5_acc 0.9874 +2025-05-31 13:47:57,149 - pyskl - INFO - Epoch(val) [57][1184] top1_acc: 0.8735, top5_acc: 0.9874 +2025-05-31 13:49:01,953 - pyskl - INFO - Epoch [58][100/2353] lr: 1.709e-02, eta: 1 day, 2:46:50, time: 0.648, data_time: 0.203, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9919, loss_cls: 2.5263, loss: 2.5263 +2025-05-31 13:49:46,169 - pyskl - INFO - Epoch [58][200/2353] lr: 1.708e-02, eta: 1 day, 2:46:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9856, loss_cls: 2.4693, loss: 2.4693 +2025-05-31 13:50:30,423 - pyskl - INFO - Epoch [58][300/2353] lr: 1.707e-02, eta: 1 day, 2:45:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9825, loss_cls: 2.6507, loss: 2.6507 +2025-05-31 13:51:14,577 - pyskl - INFO - Epoch [58][400/2353] lr: 1.706e-02, eta: 1 day, 2:44:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9856, loss_cls: 2.4980, loss: 2.4980 +2025-05-31 13:51:58,604 - pyskl - INFO - Epoch [58][500/2353] lr: 1.705e-02, eta: 1 day, 2:43:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9900, loss_cls: 2.6358, loss: 2.6358 +2025-05-31 13:52:42,641 - pyskl - INFO - Epoch [58][600/2353] lr: 1.704e-02, eta: 1 day, 2:43:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 2.6338, loss: 2.6338 +2025-05-31 13:53:26,800 - pyskl - INFO - Epoch [58][700/2353] lr: 1.703e-02, eta: 1 day, 2:42:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9831, loss_cls: 2.6164, loss: 2.6164 +2025-05-31 13:54:10,848 - pyskl - INFO - Epoch [58][800/2353] lr: 1.702e-02, eta: 1 day, 2:41:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9869, loss_cls: 2.6650, loss: 2.6650 +2025-05-31 13:54:54,897 - pyskl - INFO - Epoch [58][900/2353] lr: 1.701e-02, eta: 1 day, 2:40:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 2.5162, loss: 2.5162 +2025-05-31 13:55:39,022 - pyskl - INFO - Epoch [58][1000/2353] lr: 1.700e-02, eta: 1 day, 2:40:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9812, loss_cls: 2.6638, loss: 2.6638 +2025-05-31 13:56:23,145 - pyskl - INFO - Epoch [58][1100/2353] lr: 1.699e-02, eta: 1 day, 2:39:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9850, loss_cls: 2.6498, loss: 2.6498 +2025-05-31 13:57:07,206 - pyskl - INFO - Epoch [58][1200/2353] lr: 1.698e-02, eta: 1 day, 2:38:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9825, loss_cls: 2.6365, loss: 2.6365 +2025-05-31 13:57:51,269 - pyskl - INFO - Epoch [58][1300/2353] lr: 1.697e-02, eta: 1 day, 2:38:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9800, loss_cls: 2.5878, loss: 2.5878 +2025-05-31 13:58:35,516 - pyskl - INFO - Epoch [58][1400/2353] lr: 1.696e-02, eta: 1 day, 2:37:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9844, loss_cls: 2.5195, loss: 2.5195 +2025-05-31 13:59:19,653 - pyskl - INFO - Epoch [58][1500/2353] lr: 1.695e-02, eta: 1 day, 2:36:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9800, loss_cls: 2.6194, loss: 2.6194 +2025-05-31 14:00:03,805 - pyskl - INFO - Epoch [58][1600/2353] lr: 1.694e-02, eta: 1 day, 2:35:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9819, loss_cls: 2.6724, loss: 2.6724 +2025-05-31 14:00:47,847 - pyskl - INFO - Epoch [58][1700/2353] lr: 1.693e-02, eta: 1 day, 2:35:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9844, loss_cls: 2.5782, loss: 2.5782 +2025-05-31 14:01:31,978 - pyskl - INFO - Epoch [58][1800/2353] lr: 1.691e-02, eta: 1 day, 2:34:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9894, loss_cls: 2.6010, loss: 2.6010 +2025-05-31 14:02:16,245 - pyskl - INFO - Epoch [58][1900/2353] lr: 1.690e-02, eta: 1 day, 2:33:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9862, loss_cls: 2.5178, loss: 2.5178 +2025-05-31 14:03:00,393 - pyskl - INFO - Epoch [58][2000/2353] lr: 1.689e-02, eta: 1 day, 2:32:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 2.5679, loss: 2.5679 +2025-05-31 14:03:44,475 - pyskl - INFO - Epoch [58][2100/2353] lr: 1.688e-02, eta: 1 day, 2:32:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9806, loss_cls: 2.6541, loss: 2.6541 +2025-05-31 14:04:28,485 - pyskl - INFO - Epoch [58][2200/2353] lr: 1.687e-02, eta: 1 day, 2:31:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 2.6613, loss: 2.6613 +2025-05-31 14:05:12,521 - pyskl - INFO - Epoch [58][2300/2353] lr: 1.686e-02, eta: 1 day, 2:30:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9812, loss_cls: 2.5761, loss: 2.5761 +2025-05-31 14:05:36,465 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-05-31 14:07:05,435 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 14:07:05,509 - pyskl - INFO - +top1_acc 0.8779 +top5_acc 0.9888 +2025-05-31 14:07:05,512 - pyskl - INFO - Epoch(val) [58][1184] top1_acc: 0.8779, top5_acc: 0.9888 +2025-05-31 14:08:09,173 - pyskl - INFO - Epoch [59][100/2353] lr: 1.685e-02, eta: 1 day, 2:29:29, time: 0.637, data_time: 0.197, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 2.5530, loss: 2.5530 +2025-05-31 14:08:53,137 - pyskl - INFO - Epoch [59][200/2353] lr: 1.684e-02, eta: 1 day, 2:28:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9825, loss_cls: 2.4769, loss: 2.4769 +2025-05-31 14:09:37,202 - pyskl - INFO - Epoch [59][300/2353] lr: 1.683e-02, eta: 1 day, 2:28:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9906, loss_cls: 2.4339, loss: 2.4339 +2025-05-31 14:10:21,183 - pyskl - INFO - Epoch [59][400/2353] lr: 1.682e-02, eta: 1 day, 2:27:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9850, loss_cls: 2.6280, loss: 2.6280 +2025-05-31 14:11:05,229 - pyskl - INFO - Epoch [59][500/2353] lr: 1.681e-02, eta: 1 day, 2:26:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 2.6664, loss: 2.6664 +2025-05-31 14:11:49,246 - pyskl - INFO - Epoch [59][600/2353] lr: 1.679e-02, eta: 1 day, 2:25:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 2.4913, loss: 2.4913 +2025-05-31 14:12:33,280 - pyskl - INFO - Epoch [59][700/2353] lr: 1.678e-02, eta: 1 day, 2:25:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9781, loss_cls: 2.5376, loss: 2.5376 +2025-05-31 14:13:17,353 - pyskl - INFO - Epoch [59][800/2353] lr: 1.677e-02, eta: 1 day, 2:24:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 2.5601, loss: 2.5601 +2025-05-31 14:14:01,285 - pyskl - INFO - Epoch [59][900/2353] lr: 1.676e-02, eta: 1 day, 2:23:35, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 2.5143, loss: 2.5143 +2025-05-31 14:14:45,260 - pyskl - INFO - Epoch [59][1000/2353] lr: 1.675e-02, eta: 1 day, 2:22:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9850, loss_cls: 2.5229, loss: 2.5229 +2025-05-31 14:15:29,349 - pyskl - INFO - Epoch [59][1100/2353] lr: 1.674e-02, eta: 1 day, 2:22:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9838, loss_cls: 2.6258, loss: 2.6258 +2025-05-31 14:16:13,443 - pyskl - INFO - Epoch [59][1200/2353] lr: 1.673e-02, eta: 1 day, 2:21:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9800, loss_cls: 2.6685, loss: 2.6685 +2025-05-31 14:16:57,506 - pyskl - INFO - Epoch [59][1300/2353] lr: 1.672e-02, eta: 1 day, 2:20:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9831, loss_cls: 2.5088, loss: 2.5088 +2025-05-31 14:17:41,550 - pyskl - INFO - Epoch [59][1400/2353] lr: 1.671e-02, eta: 1 day, 2:19:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9844, loss_cls: 2.6354, loss: 2.6354 +2025-05-31 14:18:25,443 - pyskl - INFO - Epoch [59][1500/2353] lr: 1.670e-02, eta: 1 day, 2:19:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 2.5854, loss: 2.5854 +2025-05-31 14:19:09,396 - pyskl - INFO - Epoch [59][1600/2353] lr: 1.669e-02, eta: 1 day, 2:18:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 2.6123, loss: 2.6123 +2025-05-31 14:19:53,227 - pyskl - INFO - Epoch [59][1700/2353] lr: 1.668e-02, eta: 1 day, 2:17:42, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 2.5783, loss: 2.5783 +2025-05-31 14:20:37,410 - pyskl - INFO - Epoch [59][1800/2353] lr: 1.667e-02, eta: 1 day, 2:16:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9881, loss_cls: 2.5562, loss: 2.5562 +2025-05-31 14:21:21,450 - pyskl - INFO - Epoch [59][1900/2353] lr: 1.666e-02, eta: 1 day, 2:16:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9831, loss_cls: 2.6024, loss: 2.6024 +2025-05-31 14:22:05,476 - pyskl - INFO - Epoch [59][2000/2353] lr: 1.665e-02, eta: 1 day, 2:15:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9844, loss_cls: 2.6652, loss: 2.6652 +2025-05-31 14:22:49,374 - pyskl - INFO - Epoch [59][2100/2353] lr: 1.664e-02, eta: 1 day, 2:14:45, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9900, loss_cls: 2.5809, loss: 2.5809 +2025-05-31 14:23:33,317 - pyskl - INFO - Epoch [59][2200/2353] lr: 1.663e-02, eta: 1 day, 2:14:01, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9906, loss_cls: 2.5360, loss: 2.5360 +2025-05-31 14:24:17,341 - pyskl - INFO - Epoch [59][2300/2353] lr: 1.662e-02, eta: 1 day, 2:13:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9862, loss_cls: 2.6162, loss: 2.6162 +2025-05-31 14:24:41,322 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-05-31 14:26:10,294 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 14:26:10,368 - pyskl - INFO - +top1_acc 0.8850 +top5_acc 0.9892 +2025-05-31 14:26:10,371 - pyskl - INFO - Epoch(val) [59][1184] top1_acc: 0.8850, top5_acc: 0.9892 +2025-05-31 14:27:14,653 - pyskl - INFO - Epoch [60][100/2353] lr: 1.660e-02, eta: 1 day, 2:12:04, time: 0.643, data_time: 0.198, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9912, loss_cls: 2.5325, loss: 2.5325 +2025-05-31 14:27:58,638 - pyskl - INFO - Epoch [60][200/2353] lr: 1.659e-02, eta: 1 day, 2:11:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9900, loss_cls: 2.5615, loss: 2.5615 +2025-05-31 14:28:42,793 - pyskl - INFO - Epoch [60][300/2353] lr: 1.658e-02, eta: 1 day, 2:10:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 2.4251, loss: 2.4251 +2025-05-31 14:29:26,987 - pyskl - INFO - Epoch [60][400/2353] lr: 1.657e-02, eta: 1 day, 2:09:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9838, loss_cls: 2.5059, loss: 2.5059 +2025-05-31 14:30:11,086 - pyskl - INFO - Epoch [60][500/2353] lr: 1.656e-02, eta: 1 day, 2:09:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9894, loss_cls: 2.5322, loss: 2.5322 +2025-05-31 14:30:55,247 - pyskl - INFO - Epoch [60][600/2353] lr: 1.655e-02, eta: 1 day, 2:08:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9888, loss_cls: 2.5595, loss: 2.5595 +2025-05-31 14:31:39,337 - pyskl - INFO - Epoch [60][700/2353] lr: 1.654e-02, eta: 1 day, 2:07:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 2.4694, loss: 2.4694 +2025-05-31 14:32:23,517 - pyskl - INFO - Epoch [60][800/2353] lr: 1.653e-02, eta: 1 day, 2:06:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9838, loss_cls: 2.5561, loss: 2.5561 +2025-05-31 14:33:07,758 - pyskl - INFO - Epoch [60][900/2353] lr: 1.652e-02, eta: 1 day, 2:06:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 2.4424, loss: 2.4424 +2025-05-31 14:33:52,087 - pyskl - INFO - Epoch [60][1000/2353] lr: 1.651e-02, eta: 1 day, 2:05:29, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 2.5728, loss: 2.5728 +2025-05-31 14:34:36,262 - pyskl - INFO - Epoch [60][1100/2353] lr: 1.650e-02, eta: 1 day, 2:04:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9862, loss_cls: 2.5748, loss: 2.5748 +2025-05-31 14:35:20,449 - pyskl - INFO - Epoch [60][1200/2353] lr: 1.648e-02, eta: 1 day, 2:04:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 2.6049, loss: 2.6049 +2025-05-31 14:36:04,649 - pyskl - INFO - Epoch [60][1300/2353] lr: 1.647e-02, eta: 1 day, 2:03:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9888, loss_cls: 2.5432, loss: 2.5432 +2025-05-31 14:36:48,731 - pyskl - INFO - Epoch [60][1400/2353] lr: 1.646e-02, eta: 1 day, 2:02:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9819, loss_cls: 2.5567, loss: 2.5567 +2025-05-31 14:37:32,853 - pyskl - INFO - Epoch [60][1500/2353] lr: 1.645e-02, eta: 1 day, 2:01:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9850, loss_cls: 2.5022, loss: 2.5022 +2025-05-31 14:38:16,977 - pyskl - INFO - Epoch [60][1600/2353] lr: 1.644e-02, eta: 1 day, 2:01:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9856, loss_cls: 2.6396, loss: 2.6396 +2025-05-31 14:39:01,183 - pyskl - INFO - Epoch [60][1700/2353] lr: 1.643e-02, eta: 1 day, 2:00:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9850, loss_cls: 2.5373, loss: 2.5373 +2025-05-31 14:39:45,398 - pyskl - INFO - Epoch [60][1800/2353] lr: 1.642e-02, eta: 1 day, 1:59:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9894, loss_cls: 2.5603, loss: 2.5603 +2025-05-31 14:40:29,609 - pyskl - INFO - Epoch [60][1900/2353] lr: 1.641e-02, eta: 1 day, 1:58:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9819, loss_cls: 2.5538, loss: 2.5538 +2025-05-31 14:41:13,828 - pyskl - INFO - Epoch [60][2000/2353] lr: 1.640e-02, eta: 1 day, 1:58:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9888, loss_cls: 2.5788, loss: 2.5788 +2025-05-31 14:41:58,026 - pyskl - INFO - Epoch [60][2100/2353] lr: 1.639e-02, eta: 1 day, 1:57:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 2.4762, loss: 2.4762 +2025-05-31 14:42:42,253 - pyskl - INFO - Epoch [60][2200/2353] lr: 1.638e-02, eta: 1 day, 1:56:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9781, loss_cls: 2.5520, loss: 2.5520 +2025-05-31 14:43:26,503 - pyskl - INFO - Epoch [60][2300/2353] lr: 1.637e-02, eta: 1 day, 1:55:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 2.5860, loss: 2.5860 +2025-05-31 14:43:50,538 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-05-31 14:52:34,259 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 14:52:34,340 - pyskl - INFO - +top1_acc 0.8920 +top5_acc 0.9894 +2025-05-31 14:52:34,344 - pyskl - INFO - Epoch(val) [60][1184] top1_acc: 0.8920, top5_acc: 0.9894 +2025-05-31 14:53:38,969 - pyskl - INFO - Epoch [61][100/2353] lr: 1.635e-02, eta: 1 day, 1:54:47, time: 0.646, data_time: 0.203, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 2.5080, loss: 2.5080 +2025-05-31 14:54:23,413 - pyskl - INFO - Epoch [61][200/2353] lr: 1.634e-02, eta: 1 day, 1:54:03, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 2.3679, loss: 2.3679 +2025-05-31 14:55:07,941 - pyskl - INFO - Epoch [61][300/2353] lr: 1.633e-02, eta: 1 day, 1:53:20, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9912, loss_cls: 2.4441, loss: 2.4441 +2025-05-31 14:55:52,243 - pyskl - INFO - Epoch [61][400/2353] lr: 1.632e-02, eta: 1 day, 1:52:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9862, loss_cls: 2.5954, loss: 2.5954 +2025-05-31 14:56:36,529 - pyskl - INFO - Epoch [61][500/2353] lr: 1.631e-02, eta: 1 day, 1:51:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9844, loss_cls: 2.5945, loss: 2.5945 +2025-05-31 14:57:20,793 - pyskl - INFO - Epoch [61][600/2353] lr: 1.630e-02, eta: 1 day, 1:51:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9781, loss_cls: 2.6664, loss: 2.6664 +2025-05-31 14:58:05,096 - pyskl - INFO - Epoch [61][700/2353] lr: 1.629e-02, eta: 1 day, 1:50:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9862, loss_cls: 2.5240, loss: 2.5240 +2025-05-31 14:58:49,392 - pyskl - INFO - Epoch [61][800/2353] lr: 1.628e-02, eta: 1 day, 1:49:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9869, loss_cls: 2.5707, loss: 2.5707 +2025-05-31 14:59:33,732 - pyskl - INFO - Epoch [61][900/2353] lr: 1.627e-02, eta: 1 day, 1:48:57, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9819, loss_cls: 2.5274, loss: 2.5274 +2025-05-31 15:00:18,000 - pyskl - INFO - Epoch [61][1000/2353] lr: 1.626e-02, eta: 1 day, 1:48:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9850, loss_cls: 2.6025, loss: 2.6025 +2025-05-31 15:01:02,289 - pyskl - INFO - Epoch [61][1100/2353] lr: 1.625e-02, eta: 1 day, 1:47:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9862, loss_cls: 2.5983, loss: 2.5983 +2025-05-31 15:01:46,578 - pyskl - INFO - Epoch [61][1200/2353] lr: 1.624e-02, eta: 1 day, 1:46:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 2.4727, loss: 2.4727 +2025-05-31 15:02:30,830 - pyskl - INFO - Epoch [61][1300/2353] lr: 1.623e-02, eta: 1 day, 1:46:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 2.4297, loss: 2.4297 +2025-05-31 15:03:15,074 - pyskl - INFO - Epoch [61][1400/2353] lr: 1.621e-02, eta: 1 day, 1:45:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 2.4872, loss: 2.4872 +2025-05-31 15:03:59,340 - pyskl - INFO - Epoch [61][1500/2353] lr: 1.620e-02, eta: 1 day, 1:44:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9850, loss_cls: 2.5426, loss: 2.5426 +2025-05-31 15:04:43,729 - pyskl - INFO - Epoch [61][1600/2353] lr: 1.619e-02, eta: 1 day, 1:43:51, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9850, loss_cls: 2.5798, loss: 2.5798 +2025-05-31 15:05:28,188 - pyskl - INFO - Epoch [61][1700/2353] lr: 1.618e-02, eta: 1 day, 1:43:07, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 2.4908, loss: 2.4908 +2025-05-31 15:06:12,701 - pyskl - INFO - Epoch [61][1800/2353] lr: 1.617e-02, eta: 1 day, 1:42:24, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9838, loss_cls: 2.4887, loss: 2.4887 +2025-05-31 15:06:57,089 - pyskl - INFO - Epoch [61][1900/2353] lr: 1.616e-02, eta: 1 day, 1:41:40, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9875, loss_cls: 2.6328, loss: 2.6328 +2025-05-31 15:07:41,437 - pyskl - INFO - Epoch [61][2000/2353] lr: 1.615e-02, eta: 1 day, 1:40:57, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 2.5225, loss: 2.5225 +2025-05-31 15:08:25,645 - pyskl - INFO - Epoch [61][2100/2353] lr: 1.614e-02, eta: 1 day, 1:40:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9806, loss_cls: 2.5615, loss: 2.5615 +2025-05-31 15:09:10,004 - pyskl - INFO - Epoch [61][2200/2353] lr: 1.613e-02, eta: 1 day, 1:39:29, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9806, loss_cls: 2.5628, loss: 2.5628 +2025-05-31 15:09:54,340 - pyskl - INFO - Epoch [61][2300/2353] lr: 1.612e-02, eta: 1 day, 1:38:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9781, loss_cls: 2.6395, loss: 2.6395 +2025-05-31 15:10:18,400 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-05-31 15:11:47,303 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 15:11:47,378 - pyskl - INFO - +top1_acc 0.8741 +top5_acc 0.9875 +2025-05-31 15:11:47,381 - pyskl - INFO - Epoch(val) [61][1184] top1_acc: 0.8741, top5_acc: 0.9875 +2025-05-31 15:12:51,090 - pyskl - INFO - Epoch [62][100/2353] lr: 1.610e-02, eta: 1 day, 1:37:33, time: 0.637, data_time: 0.196, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 2.4561, loss: 2.4561 +2025-05-31 15:13:35,133 - pyskl - INFO - Epoch [62][200/2353] lr: 1.609e-02, eta: 1 day, 1:36:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9925, loss_cls: 2.4599, loss: 2.4599 +2025-05-31 15:14:19,121 - pyskl - INFO - Epoch [62][300/2353] lr: 1.608e-02, eta: 1 day, 1:36:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 2.4865, loss: 2.4865 +2025-05-31 15:15:03,159 - pyskl - INFO - Epoch [62][400/2353] lr: 1.607e-02, eta: 1 day, 1:35:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 2.5741, loss: 2.5741 +2025-05-31 15:15:47,185 - pyskl - INFO - Epoch [62][500/2353] lr: 1.606e-02, eta: 1 day, 1:34:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 2.3908, loss: 2.3908 +2025-05-31 15:16:31,225 - pyskl - INFO - Epoch [62][600/2353] lr: 1.605e-02, eta: 1 day, 1:33:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 2.5716, loss: 2.5716 +2025-05-31 15:17:15,300 - pyskl - INFO - Epoch [62][700/2353] lr: 1.604e-02, eta: 1 day, 1:33:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 2.4164, loss: 2.4164 +2025-05-31 15:17:59,377 - pyskl - INFO - Epoch [62][800/2353] lr: 1.603e-02, eta: 1 day, 1:32:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 2.4144, loss: 2.4144 +2025-05-31 15:18:43,452 - pyskl - INFO - Epoch [62][900/2353] lr: 1.602e-02, eta: 1 day, 1:31:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 2.4043, loss: 2.4043 +2025-05-31 15:19:27,362 - pyskl - INFO - Epoch [62][1000/2353] lr: 1.601e-02, eta: 1 day, 1:30:55, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 2.3865, loss: 2.3865 +2025-05-31 15:20:11,341 - pyskl - INFO - Epoch [62][1100/2353] lr: 1.600e-02, eta: 1 day, 1:30:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9875, loss_cls: 2.5020, loss: 2.5020 +2025-05-31 15:20:55,363 - pyskl - INFO - Epoch [62][1200/2353] lr: 1.598e-02, eta: 1 day, 1:29:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9894, loss_cls: 2.5011, loss: 2.5011 +2025-05-31 15:21:39,320 - pyskl - INFO - Epoch [62][1300/2353] lr: 1.597e-02, eta: 1 day, 1:28:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9825, loss_cls: 2.5900, loss: 2.5900 +2025-05-31 15:22:23,365 - pyskl - INFO - Epoch [62][1400/2353] lr: 1.596e-02, eta: 1 day, 1:27:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9888, loss_cls: 2.6102, loss: 2.6102 +2025-05-31 15:23:07,491 - pyskl - INFO - Epoch [62][1500/2353] lr: 1.595e-02, eta: 1 day, 1:27:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9869, loss_cls: 2.5526, loss: 2.5526 +2025-05-31 15:23:51,611 - pyskl - INFO - Epoch [62][1600/2353] lr: 1.594e-02, eta: 1 day, 1:26:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 2.5745, loss: 2.5745 +2025-05-31 15:24:35,592 - pyskl - INFO - Epoch [62][1700/2353] lr: 1.593e-02, eta: 1 day, 1:25:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 2.4943, loss: 2.4943 +2025-05-31 15:25:19,860 - pyskl - INFO - Epoch [62][1800/2353] lr: 1.592e-02, eta: 1 day, 1:25:03, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 2.5133, loss: 2.5133 +2025-05-31 15:26:03,853 - pyskl - INFO - Epoch [62][1900/2353] lr: 1.591e-02, eta: 1 day, 1:24:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9819, loss_cls: 2.6266, loss: 2.6266 +2025-05-31 15:26:47,818 - pyskl - INFO - Epoch [62][2000/2353] lr: 1.590e-02, eta: 1 day, 1:23:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9806, loss_cls: 2.5950, loss: 2.5950 +2025-05-31 15:27:31,821 - pyskl - INFO - Epoch [62][2100/2353] lr: 1.589e-02, eta: 1 day, 1:22:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9800, loss_cls: 2.5942, loss: 2.5942 +2025-05-31 15:28:15,817 - pyskl - INFO - Epoch [62][2200/2353] lr: 1.588e-02, eta: 1 day, 1:22:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9881, loss_cls: 2.5135, loss: 2.5135 +2025-05-31 15:29:00,022 - pyskl - INFO - Epoch [62][2300/2353] lr: 1.587e-02, eta: 1 day, 1:21:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9894, loss_cls: 2.5186, loss: 2.5186 +2025-05-31 15:29:24,059 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-05-31 15:30:53,057 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 15:30:53,132 - pyskl - INFO - +top1_acc 0.9025 +top5_acc 0.9915 +2025-05-31 15:30:53,135 - pyskl - INFO - Epoch(val) [62][1184] top1_acc: 0.9025, top5_acc: 0.9915 +2025-05-31 15:31:57,178 - pyskl - INFO - Epoch [63][100/2353] lr: 1.585e-02, eta: 1 day, 1:20:10, time: 0.640, data_time: 0.200, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9869, loss_cls: 2.3973, loss: 2.3973 +2025-05-31 15:32:41,171 - pyskl - INFO - Epoch [63][200/2353] lr: 1.584e-02, eta: 1 day, 1:19:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9856, loss_cls: 2.3952, loss: 2.3952 +2025-05-31 15:33:25,262 - pyskl - INFO - Epoch [63][300/2353] lr: 1.583e-02, eta: 1 day, 1:18:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9912, loss_cls: 2.4518, loss: 2.4518 +2025-05-31 15:34:09,361 - pyskl - INFO - Epoch [63][400/2353] lr: 1.582e-02, eta: 1 day, 1:17:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 2.4663, loss: 2.4663 +2025-05-31 15:34:53,406 - pyskl - INFO - Epoch [63][500/2353] lr: 1.581e-02, eta: 1 day, 1:17:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9838, loss_cls: 2.4441, loss: 2.4441 +2025-05-31 15:35:37,508 - pyskl - INFO - Epoch [63][600/2353] lr: 1.580e-02, eta: 1 day, 1:16:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 2.3906, loss: 2.3906 +2025-05-31 15:36:21,605 - pyskl - INFO - Epoch [63][700/2353] lr: 1.579e-02, eta: 1 day, 1:15:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9856, loss_cls: 2.6073, loss: 2.6073 +2025-05-31 15:37:05,693 - pyskl - INFO - Epoch [63][800/2353] lr: 1.578e-02, eta: 1 day, 1:15:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 2.5127, loss: 2.5127 +2025-05-31 15:37:49,729 - pyskl - INFO - Epoch [63][900/2353] lr: 1.577e-02, eta: 1 day, 1:14:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9862, loss_cls: 2.5402, loss: 2.5402 +2025-05-31 15:38:33,759 - pyskl - INFO - Epoch [63][1000/2353] lr: 1.575e-02, eta: 1 day, 1:13:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9881, loss_cls: 2.4604, loss: 2.4604 +2025-05-31 15:39:17,943 - pyskl - INFO - Epoch [63][1100/2353] lr: 1.574e-02, eta: 1 day, 1:12:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 2.4407, loss: 2.4407 +2025-05-31 15:40:02,022 - pyskl - INFO - Epoch [63][1200/2353] lr: 1.573e-02, eta: 1 day, 1:12:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9869, loss_cls: 2.5451, loss: 2.5451 +2025-05-31 15:40:46,120 - pyskl - INFO - Epoch [63][1300/2353] lr: 1.572e-02, eta: 1 day, 1:11:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9844, loss_cls: 2.5181, loss: 2.5181 +2025-05-31 15:41:30,212 - pyskl - INFO - Epoch [63][1400/2353] lr: 1.571e-02, eta: 1 day, 1:10:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 2.5069, loss: 2.5069 +2025-05-31 15:42:14,590 - pyskl - INFO - Epoch [63][1500/2353] lr: 1.570e-02, eta: 1 day, 1:09:53, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9919, loss_cls: 2.4294, loss: 2.4294 +2025-05-31 15:42:58,918 - pyskl - INFO - Epoch [63][1600/2353] lr: 1.569e-02, eta: 1 day, 1:09:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9881, loss_cls: 2.4943, loss: 2.4943 +2025-05-31 15:43:43,009 - pyskl - INFO - Epoch [63][1700/2353] lr: 1.568e-02, eta: 1 day, 1:08:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9812, loss_cls: 2.5074, loss: 2.5074 +2025-05-31 15:44:27,057 - pyskl - INFO - Epoch [63][1800/2353] lr: 1.567e-02, eta: 1 day, 1:07:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 2.4293, loss: 2.4293 +2025-05-31 15:45:11,113 - pyskl - INFO - Epoch [63][1900/2353] lr: 1.566e-02, eta: 1 day, 1:06:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9831, loss_cls: 2.5368, loss: 2.5368 +2025-05-31 15:45:55,097 - pyskl - INFO - Epoch [63][2000/2353] lr: 1.565e-02, eta: 1 day, 1:06:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 2.5253, loss: 2.5253 +2025-05-31 15:46:39,104 - pyskl - INFO - Epoch [63][2100/2353] lr: 1.564e-02, eta: 1 day, 1:05:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 2.5028, loss: 2.5028 +2025-05-31 15:47:23,174 - pyskl - INFO - Epoch [63][2200/2353] lr: 1.563e-02, eta: 1 day, 1:04:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 2.5021, loss: 2.5021 +2025-05-31 15:48:07,181 - pyskl - INFO - Epoch [63][2300/2353] lr: 1.561e-02, eta: 1 day, 1:04:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9869, loss_cls: 2.5818, loss: 2.5818 +2025-05-31 15:48:31,061 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-05-31 15:49:59,951 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 15:50:00,026 - pyskl - INFO - +top1_acc 0.8882 +top5_acc 0.9887 +2025-05-31 15:50:00,029 - pyskl - INFO - Epoch(val) [63][1184] top1_acc: 0.8882, top5_acc: 0.9887 +2025-05-31 15:51:03,816 - pyskl - INFO - Epoch [64][100/2353] lr: 1.560e-02, eta: 1 day, 1:02:48, time: 0.638, data_time: 0.196, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 2.4250, loss: 2.4250 +2025-05-31 15:51:47,949 - pyskl - INFO - Epoch [64][200/2353] lr: 1.559e-02, eta: 1 day, 1:02:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9825, loss_cls: 2.4854, loss: 2.4854 +2025-05-31 15:52:32,189 - pyskl - INFO - Epoch [64][300/2353] lr: 1.558e-02, eta: 1 day, 1:01:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 2.4860, loss: 2.4860 +2025-05-31 15:53:16,394 - pyskl - INFO - Epoch [64][400/2353] lr: 1.557e-02, eta: 1 day, 1:00:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 2.3954, loss: 2.3954 +2025-05-31 15:54:00,497 - pyskl - INFO - Epoch [64][500/2353] lr: 1.555e-02, eta: 1 day, 0:59:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9838, loss_cls: 2.4637, loss: 2.4637 +2025-05-31 15:54:44,700 - pyskl - INFO - Epoch [64][600/2353] lr: 1.554e-02, eta: 1 day, 0:59:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9900, loss_cls: 2.5017, loss: 2.5017 +2025-05-31 15:55:28,924 - pyskl - INFO - Epoch [64][700/2353] lr: 1.553e-02, eta: 1 day, 0:58:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9856, loss_cls: 2.3771, loss: 2.3771 +2025-05-31 15:56:13,230 - pyskl - INFO - Epoch [64][800/2353] lr: 1.552e-02, eta: 1 day, 0:57:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9900, loss_cls: 2.4190, loss: 2.4190 +2025-05-31 15:56:57,310 - pyskl - INFO - Epoch [64][900/2353] lr: 1.551e-02, eta: 1 day, 0:56:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 2.4523, loss: 2.4523 +2025-05-31 15:57:41,390 - pyskl - INFO - Epoch [64][1000/2353] lr: 1.550e-02, eta: 1 day, 0:56:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 2.5368, loss: 2.5368 +2025-05-31 15:58:25,488 - pyskl - INFO - Epoch [64][1100/2353] lr: 1.549e-02, eta: 1 day, 0:55:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 2.4278, loss: 2.4278 +2025-05-31 15:59:09,579 - pyskl - INFO - Epoch [64][1200/2353] lr: 1.548e-02, eta: 1 day, 0:54:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9862, loss_cls: 2.4525, loss: 2.4525 +2025-05-31 15:59:53,593 - pyskl - INFO - Epoch [64][1300/2353] lr: 1.547e-02, eta: 1 day, 0:54:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 2.5225, loss: 2.5225 +2025-05-31 16:00:37,777 - pyskl - INFO - Epoch [64][1400/2353] lr: 1.546e-02, eta: 1 day, 0:53:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 2.4024, loss: 2.4024 +2025-05-31 16:01:22,002 - pyskl - INFO - Epoch [64][1500/2353] lr: 1.545e-02, eta: 1 day, 0:52:33, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 2.4176, loss: 2.4176 +2025-05-31 16:02:06,132 - pyskl - INFO - Epoch [64][1600/2353] lr: 1.544e-02, eta: 1 day, 0:51:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9912, loss_cls: 2.4874, loss: 2.4874 +2025-05-31 16:02:50,278 - pyskl - INFO - Epoch [64][1700/2353] lr: 1.543e-02, eta: 1 day, 0:51:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 2.3675, loss: 2.3675 +2025-05-31 16:03:34,388 - pyskl - INFO - Epoch [64][1800/2353] lr: 1.541e-02, eta: 1 day, 0:50:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9881, loss_cls: 2.5345, loss: 2.5345 +2025-05-31 16:04:18,514 - pyskl - INFO - Epoch [64][1900/2353] lr: 1.540e-02, eta: 1 day, 0:49:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9900, loss_cls: 2.4024, loss: 2.4024 +2025-05-31 16:05:02,687 - pyskl - INFO - Epoch [64][2000/2353] lr: 1.539e-02, eta: 1 day, 0:48:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9869, loss_cls: 2.4937, loss: 2.4937 +2025-05-31 16:05:46,805 - pyskl - INFO - Epoch [64][2100/2353] lr: 1.538e-02, eta: 1 day, 0:48:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 2.4353, loss: 2.4353 +2025-05-31 16:06:31,121 - pyskl - INFO - Epoch [64][2200/2353] lr: 1.537e-02, eta: 1 day, 0:47:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9850, loss_cls: 2.5320, loss: 2.5320 +2025-05-31 16:07:15,437 - pyskl - INFO - Epoch [64][2300/2353] lr: 1.536e-02, eta: 1 day, 0:46:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 2.4753, loss: 2.4753 +2025-05-31 16:07:39,436 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-05-31 16:09:08,428 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 16:09:08,502 - pyskl - INFO - +top1_acc 0.8990 +top5_acc 0.9884 +2025-05-31 16:09:08,505 - pyskl - INFO - Epoch(val) [64][1184] top1_acc: 0.8990, top5_acc: 0.9884 +2025-05-31 16:10:12,340 - pyskl - INFO - Epoch [65][100/2353] lr: 1.534e-02, eta: 1 day, 0:45:29, time: 0.638, data_time: 0.199, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 2.3589, loss: 2.3589 +2025-05-31 16:10:56,256 - pyskl - INFO - Epoch [65][200/2353] lr: 1.533e-02, eta: 1 day, 0:44:45, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9906, loss_cls: 2.4247, loss: 2.4247 +2025-05-31 16:11:40,240 - pyskl - INFO - Epoch [65][300/2353] lr: 1.532e-02, eta: 1 day, 0:44:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 2.4733, loss: 2.4733 +2025-05-31 16:12:24,181 - pyskl - INFO - Epoch [65][400/2353] lr: 1.531e-02, eta: 1 day, 0:43:17, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 2.4146, loss: 2.4146 +2025-05-31 16:13:08,186 - pyskl - INFO - Epoch [65][500/2353] lr: 1.530e-02, eta: 1 day, 0:42:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 2.4639, loss: 2.4639 +2025-05-31 16:13:52,297 - pyskl - INFO - Epoch [65][600/2353] lr: 1.529e-02, eta: 1 day, 0:41:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 2.4678, loss: 2.4678 +2025-05-31 16:14:36,421 - pyskl - INFO - Epoch [65][700/2353] lr: 1.528e-02, eta: 1 day, 0:41:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 2.4662, loss: 2.4662 +2025-05-31 16:15:20,499 - pyskl - INFO - Epoch [65][800/2353] lr: 1.527e-02, eta: 1 day, 0:40:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 2.4256, loss: 2.4256 +2025-05-31 16:16:04,762 - pyskl - INFO - Epoch [65][900/2353] lr: 1.526e-02, eta: 1 day, 0:39:37, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9900, loss_cls: 2.4806, loss: 2.4806 +2025-05-31 16:16:48,752 - pyskl - INFO - Epoch [65][1000/2353] lr: 1.525e-02, eta: 1 day, 0:38:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 2.3878, loss: 2.3878 +2025-05-31 16:17:32,812 - pyskl - INFO - Epoch [65][1100/2353] lr: 1.524e-02, eta: 1 day, 0:38:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 2.5079, loss: 2.5079 +2025-05-31 16:18:16,851 - pyskl - INFO - Epoch [65][1200/2353] lr: 1.522e-02, eta: 1 day, 0:37:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 2.4834, loss: 2.4834 +2025-05-31 16:19:00,905 - pyskl - INFO - Epoch [65][1300/2353] lr: 1.521e-02, eta: 1 day, 0:36:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 2.4899, loss: 2.4899 +2025-05-31 16:19:44,840 - pyskl - INFO - Epoch [65][1400/2353] lr: 1.520e-02, eta: 1 day, 0:35:56, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 2.5138, loss: 2.5138 +2025-05-31 16:20:28,826 - pyskl - INFO - Epoch [65][1500/2353] lr: 1.519e-02, eta: 1 day, 0:35:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 2.3968, loss: 2.3968 +2025-05-31 16:21:12,915 - pyskl - INFO - Epoch [65][1600/2353] lr: 1.518e-02, eta: 1 day, 0:34:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9850, loss_cls: 2.4059, loss: 2.4059 +2025-05-31 16:21:56,772 - pyskl - INFO - Epoch [65][1700/2353] lr: 1.517e-02, eta: 1 day, 0:33:43, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 2.5067, loss: 2.5067 +2025-05-31 16:22:40,802 - pyskl - INFO - Epoch [65][1800/2353] lr: 1.516e-02, eta: 1 day, 0:32:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9900, loss_cls: 2.4753, loss: 2.4753 +2025-05-31 16:23:24,773 - pyskl - INFO - Epoch [65][1900/2353] lr: 1.515e-02, eta: 1 day, 0:32:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 2.4222, loss: 2.4222 +2025-05-31 16:24:08,935 - pyskl - INFO - Epoch [65][2000/2353] lr: 1.514e-02, eta: 1 day, 0:31:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.4769, loss: 2.4769 +2025-05-31 16:24:52,996 - pyskl - INFO - Epoch [65][2100/2353] lr: 1.513e-02, eta: 1 day, 0:30:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 2.5183, loss: 2.5183 +2025-05-31 16:25:37,229 - pyskl - INFO - Epoch [65][2200/2353] lr: 1.512e-02, eta: 1 day, 0:30:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 2.4141, loss: 2.4141 +2025-05-31 16:26:21,374 - pyskl - INFO - Epoch [65][2300/2353] lr: 1.510e-02, eta: 1 day, 0:29:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9838, loss_cls: 2.4872, loss: 2.4872 +2025-05-31 16:26:45,237 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-05-31 16:35:49,982 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 16:35:50,057 - pyskl - INFO - +top1_acc 0.9037 +top5_acc 0.9904 +2025-05-31 16:35:50,109 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_46.pth was removed +2025-05-31 16:35:51,115 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. +2025-05-31 16:35:51,116 - pyskl - INFO - Best top1_acc is 0.9037 at 65 epoch. +2025-05-31 16:35:51,118 - pyskl - INFO - Epoch(val) [65][1184] top1_acc: 0.9037, top5_acc: 0.9904 +2025-05-31 16:36:55,435 - pyskl - INFO - Epoch [66][100/2353] lr: 1.509e-02, eta: 1 day, 0:28:08, time: 0.643, data_time: 0.203, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 2.3520, loss: 2.3520 +2025-05-31 16:37:39,439 - pyskl - INFO - Epoch [66][200/2353] lr: 1.508e-02, eta: 1 day, 0:27:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 2.4095, loss: 2.4095 +2025-05-31 16:38:23,587 - pyskl - INFO - Epoch [66][300/2353] lr: 1.507e-02, eta: 1 day, 0:26:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 2.4287, loss: 2.4287 +2025-05-31 16:39:07,692 - pyskl - INFO - Epoch [66][400/2353] lr: 1.506e-02, eta: 1 day, 0:25:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 2.4534, loss: 2.4534 +2025-05-31 16:39:51,828 - pyskl - INFO - Epoch [66][500/2353] lr: 1.504e-02, eta: 1 day, 0:25:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 2.3715, loss: 2.3715 +2025-05-31 16:40:35,965 - pyskl - INFO - Epoch [66][600/2353] lr: 1.503e-02, eta: 1 day, 0:24:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 2.3958, loss: 2.3958 +2025-05-31 16:41:20,156 - pyskl - INFO - Epoch [66][700/2353] lr: 1.502e-02, eta: 1 day, 0:23:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 2.4938, loss: 2.4938 +2025-05-31 16:42:04,226 - pyskl - INFO - Epoch [66][800/2353] lr: 1.501e-02, eta: 1 day, 0:23:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9856, loss_cls: 2.5751, loss: 2.5751 +2025-05-31 16:42:48,349 - pyskl - INFO - Epoch [66][900/2353] lr: 1.500e-02, eta: 1 day, 0:22:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9894, loss_cls: 2.4776, loss: 2.4776 +2025-05-31 16:43:32,562 - pyskl - INFO - Epoch [66][1000/2353] lr: 1.499e-02, eta: 1 day, 0:21:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 2.5143, loss: 2.5143 +2025-05-31 16:44:16,752 - pyskl - INFO - Epoch [66][1100/2353] lr: 1.498e-02, eta: 1 day, 0:20:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9862, loss_cls: 2.4855, loss: 2.4855 +2025-05-31 16:45:00,873 - pyskl - INFO - Epoch [66][1200/2353] lr: 1.497e-02, eta: 1 day, 0:20:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9869, loss_cls: 2.4830, loss: 2.4830 +2025-05-31 16:45:44,906 - pyskl - INFO - Epoch [66][1300/2353] lr: 1.496e-02, eta: 1 day, 0:19:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 2.4165, loss: 2.4165 +2025-05-31 16:46:28,982 - pyskl - INFO - Epoch [66][1400/2353] lr: 1.495e-02, eta: 1 day, 0:18:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 2.4243, loss: 2.4243 +2025-05-31 16:47:13,023 - pyskl - INFO - Epoch [66][1500/2353] lr: 1.494e-02, eta: 1 day, 0:17:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9881, loss_cls: 2.4401, loss: 2.4401 +2025-05-31 16:47:57,069 - pyskl - INFO - Epoch [66][1600/2353] lr: 1.492e-02, eta: 1 day, 0:17:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 2.5476, loss: 2.5476 +2025-05-31 16:48:41,076 - pyskl - INFO - Epoch [66][1700/2353] lr: 1.491e-02, eta: 1 day, 0:16:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 2.4630, loss: 2.4630 +2025-05-31 16:49:25,067 - pyskl - INFO - Epoch [66][1800/2353] lr: 1.490e-02, eta: 1 day, 0:15:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9856, loss_cls: 2.4990, loss: 2.4990 +2025-05-31 16:50:09,169 - pyskl - INFO - Epoch [66][1900/2353] lr: 1.489e-02, eta: 1 day, 0:14:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 2.4977, loss: 2.4977 +2025-05-31 16:50:53,211 - pyskl - INFO - Epoch [66][2000/2353] lr: 1.488e-02, eta: 1 day, 0:14:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9881, loss_cls: 2.4095, loss: 2.4095 +2025-05-31 16:51:37,253 - pyskl - INFO - Epoch [66][2100/2353] lr: 1.487e-02, eta: 1 day, 0:13:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9888, loss_cls: 2.4796, loss: 2.4796 +2025-05-31 16:52:21,384 - pyskl - INFO - Epoch [66][2200/2353] lr: 1.486e-02, eta: 1 day, 0:12:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 2.4826, loss: 2.4826 +2025-05-31 16:53:05,506 - pyskl - INFO - Epoch [66][2300/2353] lr: 1.485e-02, eta: 1 day, 0:11:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 2.4583, loss: 2.4583 +2025-05-31 16:53:29,482 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-05-31 16:54:58,952 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 16:54:59,027 - pyskl - INFO - +top1_acc 0.8562 +top5_acc 0.9874 +2025-05-31 16:54:59,031 - pyskl - INFO - Epoch(val) [66][1184] top1_acc: 0.8562, top5_acc: 0.9874 +2025-05-31 16:56:03,190 - pyskl - INFO - Epoch [67][100/2353] lr: 1.483e-02, eta: 1 day, 0:10:48, time: 0.642, data_time: 0.199, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 2.3288, loss: 2.3288 +2025-05-31 16:56:47,249 - pyskl - INFO - Epoch [67][200/2353] lr: 1.482e-02, eta: 1 day, 0:10:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 2.1818, loss: 2.1818 +2025-05-31 16:57:31,363 - pyskl - INFO - Epoch [67][300/2353] lr: 1.481e-02, eta: 1 day, 0:09:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 2.3733, loss: 2.3733 +2025-05-31 16:58:15,438 - pyskl - INFO - Epoch [67][400/2353] lr: 1.480e-02, eta: 1 day, 0:08:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9931, loss_cls: 2.3663, loss: 2.3663 +2025-05-31 16:58:59,585 - pyskl - INFO - Epoch [67][500/2353] lr: 1.479e-02, eta: 1 day, 0:07:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 2.4383, loss: 2.4383 +2025-05-31 16:59:43,541 - pyskl - INFO - Epoch [67][600/2353] lr: 1.478e-02, eta: 1 day, 0:07:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9881, loss_cls: 2.5216, loss: 2.5216 +2025-05-31 17:00:27,632 - pyskl - INFO - Epoch [67][700/2353] lr: 1.477e-02, eta: 1 day, 0:06:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 2.4386, loss: 2.4386 +2025-05-31 17:01:11,764 - pyskl - INFO - Epoch [67][800/2353] lr: 1.475e-02, eta: 1 day, 0:05:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 2.3939, loss: 2.3939 +2025-05-31 17:01:55,610 - pyskl - INFO - Epoch [67][900/2353] lr: 1.474e-02, eta: 1 day, 0:04:55, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 2.3347, loss: 2.3347 +2025-05-31 17:02:39,786 - pyskl - INFO - Epoch [67][1000/2353] lr: 1.473e-02, eta: 1 day, 0:04:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9819, loss_cls: 2.5612, loss: 2.5612 +2025-05-31 17:03:23,937 - pyskl - INFO - Epoch [67][1100/2353] lr: 1.472e-02, eta: 1 day, 0:03:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9881, loss_cls: 2.2954, loss: 2.2954 +2025-05-31 17:04:08,140 - pyskl - INFO - Epoch [67][1200/2353] lr: 1.471e-02, eta: 1 day, 0:02:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 2.4236, loss: 2.4236 +2025-05-31 17:04:52,174 - pyskl - INFO - Epoch [67][1300/2353] lr: 1.470e-02, eta: 1 day, 0:01:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 2.3802, loss: 2.3802 +2025-05-31 17:05:36,192 - pyskl - INFO - Epoch [67][1400/2353] lr: 1.469e-02, eta: 1 day, 0:01:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9900, loss_cls: 2.4602, loss: 2.4602 +2025-05-31 17:06:20,249 - pyskl - INFO - Epoch [67][1500/2353] lr: 1.468e-02, eta: 1 day, 0:00:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 2.4983, loss: 2.4983 +2025-05-31 17:07:04,319 - pyskl - INFO - Epoch [67][1600/2353] lr: 1.467e-02, eta: 23:59:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9862, loss_cls: 2.5427, loss: 2.5427 +2025-05-31 17:07:48,402 - pyskl - INFO - Epoch [67][1700/2353] lr: 1.466e-02, eta: 23:59:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9919, loss_cls: 2.4374, loss: 2.4374 +2025-05-31 17:08:32,415 - pyskl - INFO - Epoch [67][1800/2353] lr: 1.465e-02, eta: 23:58:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9850, loss_cls: 2.4804, loss: 2.4804 +2025-05-31 17:09:16,606 - pyskl - INFO - Epoch [67][1900/2353] lr: 1.463e-02, eta: 23:57:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9819, loss_cls: 2.5642, loss: 2.5642 +2025-05-31 17:10:00,754 - pyskl - INFO - Epoch [67][2000/2353] lr: 1.462e-02, eta: 23:56:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9831, loss_cls: 2.5421, loss: 2.5421 +2025-05-31 17:10:44,889 - pyskl - INFO - Epoch [67][2100/2353] lr: 1.461e-02, eta: 23:56:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 2.4360, loss: 2.4360 +2025-05-31 17:11:28,980 - pyskl - INFO - Epoch [67][2200/2353] lr: 1.460e-02, eta: 23:55:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9844, loss_cls: 2.4631, loss: 2.4631 +2025-05-31 17:12:13,070 - pyskl - INFO - Epoch [67][2300/2353] lr: 1.459e-02, eta: 23:54:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9925, loss_cls: 2.3829, loss: 2.3829 +2025-05-31 17:12:36,966 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-05-31 17:14:07,113 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 17:14:07,192 - pyskl - INFO - +top1_acc 0.8908 +top5_acc 0.9904 +2025-05-31 17:14:07,195 - pyskl - INFO - Epoch(val) [67][1184] top1_acc: 0.8908, top5_acc: 0.9904 +2025-05-31 17:15:11,240 - pyskl - INFO - Epoch [68][100/2353] lr: 1.457e-02, eta: 23:53:27, time: 0.640, data_time: 0.200, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9869, loss_cls: 2.3909, loss: 2.3909 +2025-05-31 17:15:55,285 - pyskl - INFO - Epoch [68][200/2353] lr: 1.456e-02, eta: 23:52:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 2.3382, loss: 2.3382 +2025-05-31 17:16:39,456 - pyskl - INFO - Epoch [68][300/2353] lr: 1.455e-02, eta: 23:51:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 2.4302, loss: 2.4302 +2025-05-31 17:17:23,596 - pyskl - INFO - Epoch [68][400/2353] lr: 1.454e-02, eta: 23:51:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 2.3527, loss: 2.3527 +2025-05-31 17:18:07,813 - pyskl - INFO - Epoch [68][500/2353] lr: 1.453e-02, eta: 23:50:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9894, loss_cls: 2.4443, loss: 2.4443 +2025-05-31 17:18:51,936 - pyskl - INFO - Epoch [68][600/2353] lr: 1.452e-02, eta: 23:49:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 2.4056, loss: 2.4056 +2025-05-31 17:19:36,004 - pyskl - INFO - Epoch [68][700/2353] lr: 1.451e-02, eta: 23:49:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 2.5333, loss: 2.5333 +2025-05-31 17:20:20,018 - pyskl - INFO - Epoch [68][800/2353] lr: 1.450e-02, eta: 23:48:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9850, loss_cls: 2.4549, loss: 2.4549 +2025-05-31 17:21:03,940 - pyskl - INFO - Epoch [68][900/2353] lr: 1.449e-02, eta: 23:47:35, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9919, loss_cls: 2.3471, loss: 2.3471 +2025-05-31 17:21:47,998 - pyskl - INFO - Epoch [68][1000/2353] lr: 1.447e-02, eta: 23:46:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9819, loss_cls: 2.3817, loss: 2.3817 +2025-05-31 17:22:32,121 - pyskl - INFO - Epoch [68][1100/2353] lr: 1.446e-02, eta: 23:46:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 2.3575, loss: 2.3575 +2025-05-31 17:23:16,248 - pyskl - INFO - Epoch [68][1200/2353] lr: 1.445e-02, eta: 23:45:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9819, loss_cls: 2.4924, loss: 2.4924 +2025-05-31 17:24:00,347 - pyskl - INFO - Epoch [68][1300/2353] lr: 1.444e-02, eta: 23:44:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 2.4442, loss: 2.4442 +2025-05-31 17:24:44,307 - pyskl - INFO - Epoch [68][1400/2353] lr: 1.443e-02, eta: 23:43:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 2.3480, loss: 2.3480 +2025-05-31 17:25:28,269 - pyskl - INFO - Epoch [68][1500/2353] lr: 1.442e-02, eta: 23:43:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 2.4086, loss: 2.4086 +2025-05-31 17:26:12,244 - pyskl - INFO - Epoch [68][1600/2353] lr: 1.441e-02, eta: 23:42:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9925, loss_cls: 2.2791, loss: 2.2791 +2025-05-31 17:26:56,251 - pyskl - INFO - Epoch [68][1700/2353] lr: 1.440e-02, eta: 23:41:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9850, loss_cls: 2.4014, loss: 2.4014 +2025-05-31 17:27:40,298 - pyskl - INFO - Epoch [68][1800/2353] lr: 1.439e-02, eta: 23:40:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9831, loss_cls: 2.4466, loss: 2.4466 +2025-05-31 17:28:24,289 - pyskl - INFO - Epoch [68][1900/2353] lr: 1.438e-02, eta: 23:40:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 2.4268, loss: 2.4268 +2025-05-31 17:29:08,312 - pyskl - INFO - Epoch [68][2000/2353] lr: 1.436e-02, eta: 23:39:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 2.3881, loss: 2.3881 +2025-05-31 17:29:52,343 - pyskl - INFO - Epoch [68][2100/2353] lr: 1.435e-02, eta: 23:38:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 2.4360, loss: 2.4360 +2025-05-31 17:30:36,344 - pyskl - INFO - Epoch [68][2200/2353] lr: 1.434e-02, eta: 23:38:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9850, loss_cls: 2.4765, loss: 2.4765 +2025-05-31 17:31:20,352 - pyskl - INFO - Epoch [68][2300/2353] lr: 1.433e-02, eta: 23:37:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 2.3820, loss: 2.3820 +2025-05-31 17:31:44,164 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-05-31 17:33:12,530 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 17:33:12,604 - pyskl - INFO - +top1_acc 0.9020 +top5_acc 0.9911 +2025-05-31 17:33:12,607 - pyskl - INFO - Epoch(val) [68][1184] top1_acc: 0.9020, top5_acc: 0.9911 +2025-05-31 17:34:16,397 - pyskl - INFO - Epoch [69][100/2353] lr: 1.432e-02, eta: 23:36:06, time: 0.638, data_time: 0.197, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 2.3752, loss: 2.3752 +2025-05-31 17:35:00,514 - pyskl - INFO - Epoch [69][200/2353] lr: 1.430e-02, eta: 23:35:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 2.4839, loss: 2.4839 +2025-05-31 17:35:44,883 - pyskl - INFO - Epoch [69][300/2353] lr: 1.429e-02, eta: 23:34:38, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9919, loss_cls: 2.4214, loss: 2.4214 +2025-05-31 17:36:29,073 - pyskl - INFO - Epoch [69][400/2353] lr: 1.428e-02, eta: 23:33:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9938, loss_cls: 2.3042, loss: 2.3042 +2025-05-31 17:37:13,144 - pyskl - INFO - Epoch [69][500/2353] lr: 1.427e-02, eta: 23:33:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9862, loss_cls: 2.3446, loss: 2.3446 +2025-05-31 17:37:57,716 - pyskl - INFO - Epoch [69][600/2353] lr: 1.426e-02, eta: 23:32:27, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 2.3960, loss: 2.3960 +2025-05-31 17:38:42,301 - pyskl - INFO - Epoch [69][700/2353] lr: 1.425e-02, eta: 23:31:43, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9906, loss_cls: 2.4113, loss: 2.4113 +2025-05-31 17:39:26,892 - pyskl - INFO - Epoch [69][800/2353] lr: 1.424e-02, eta: 23:31:00, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 2.3307, loss: 2.3307 +2025-05-31 17:40:11,360 - pyskl - INFO - Epoch [69][900/2353] lr: 1.423e-02, eta: 23:30:16, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 2.4085, loss: 2.4085 +2025-05-31 17:40:55,946 - pyskl - INFO - Epoch [69][1000/2353] lr: 1.422e-02, eta: 23:29:33, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 2.3989, loss: 2.3989 +2025-05-31 17:41:40,377 - pyskl - INFO - Epoch [69][1100/2353] lr: 1.420e-02, eta: 23:28:49, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9912, loss_cls: 2.3192, loss: 2.3192 +2025-05-31 17:42:24,809 - pyskl - INFO - Epoch [69][1200/2353] lr: 1.419e-02, eta: 23:28:06, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 2.3673, loss: 2.3673 +2025-05-31 17:43:09,429 - pyskl - INFO - Epoch [69][1300/2353] lr: 1.418e-02, eta: 23:27:22, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 2.4868, loss: 2.4868 +2025-05-31 17:43:54,157 - pyskl - INFO - Epoch [69][1400/2353] lr: 1.417e-02, eta: 23:26:39, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 2.3472, loss: 2.3472 +2025-05-31 17:44:38,851 - pyskl - INFO - Epoch [69][1500/2353] lr: 1.416e-02, eta: 23:25:56, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9912, loss_cls: 2.3733, loss: 2.3733 +2025-05-31 17:45:23,633 - pyskl - INFO - Epoch [69][1600/2353] lr: 1.415e-02, eta: 23:25:12, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 2.5100, loss: 2.5100 +2025-05-31 17:46:08,263 - pyskl - INFO - Epoch [69][1700/2353] lr: 1.414e-02, eta: 23:24:29, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9838, loss_cls: 2.3988, loss: 2.3988 +2025-05-31 17:46:52,834 - pyskl - INFO - Epoch [69][1800/2353] lr: 1.413e-02, eta: 23:23:45, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9875, loss_cls: 2.3496, loss: 2.3496 +2025-05-31 17:47:37,502 - pyskl - INFO - Epoch [69][1900/2353] lr: 1.412e-02, eta: 23:23:02, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9856, loss_cls: 2.5029, loss: 2.5029 +2025-05-31 17:48:22,220 - pyskl - INFO - Epoch [69][2000/2353] lr: 1.411e-02, eta: 23:22:19, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 2.3148, loss: 2.3148 +2025-05-31 17:49:06,910 - pyskl - INFO - Epoch [69][2100/2353] lr: 1.409e-02, eta: 23:21:36, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9956, loss_cls: 2.4494, loss: 2.4494 +2025-05-31 17:49:51,554 - pyskl - INFO - Epoch [69][2200/2353] lr: 1.408e-02, eta: 23:20:52, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 2.3747, loss: 2.3747 +2025-05-31 17:50:36,078 - pyskl - INFO - Epoch [69][2300/2353] lr: 1.407e-02, eta: 23:20:09, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9825, loss_cls: 2.4658, loss: 2.4658 +2025-05-31 17:51:00,314 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-05-31 17:52:30,538 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 17:52:30,614 - pyskl - INFO - +top1_acc 0.9057 +top5_acc 0.9917 +2025-05-31 17:52:30,684 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_65.pth was removed +2025-05-31 17:52:31,666 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_69.pth. +2025-05-31 17:52:31,667 - pyskl - INFO - Best top1_acc is 0.9057 at 69 epoch. +2025-05-31 17:52:31,670 - pyskl - INFO - Epoch(val) [69][1184] top1_acc: 0.9057, top5_acc: 0.9917 +2025-05-31 17:53:36,670 - pyskl - INFO - Epoch [70][100/2353] lr: 1.406e-02, eta: 23:18:58, time: 0.650, data_time: 0.206, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 2.3018, loss: 2.3018 +2025-05-31 17:54:21,171 - pyskl - INFO - Epoch [70][200/2353] lr: 1.404e-02, eta: 23:18:15, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 2.3118, loss: 2.3118 +2025-05-31 17:55:05,659 - pyskl - INFO - Epoch [70][300/2353] lr: 1.403e-02, eta: 23:17:31, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 2.3955, loss: 2.3955 +2025-05-31 17:55:50,128 - pyskl - INFO - Epoch [70][400/2353] lr: 1.402e-02, eta: 23:16:48, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9900, loss_cls: 2.3846, loss: 2.3846 +2025-05-31 17:56:34,607 - pyskl - INFO - Epoch [70][500/2353] lr: 1.401e-02, eta: 23:16:04, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 2.4572, loss: 2.4572 +2025-05-31 17:57:19,305 - pyskl - INFO - Epoch [70][600/2353] lr: 1.400e-02, eta: 23:15:21, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9862, loss_cls: 2.3358, loss: 2.3358 +2025-05-31 17:58:03,856 - pyskl - INFO - Epoch [70][700/2353] lr: 1.399e-02, eta: 23:14:37, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 2.4014, loss: 2.4014 +2025-05-31 17:58:48,039 - pyskl - INFO - Epoch [70][800/2353] lr: 1.398e-02, eta: 23:13:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 2.3350, loss: 2.3350 +2025-05-31 17:59:32,483 - pyskl - INFO - Epoch [70][900/2353] lr: 1.397e-02, eta: 23:13:10, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9906, loss_cls: 2.4141, loss: 2.4141 +2025-05-31 18:00:16,977 - pyskl - INFO - Epoch [70][1000/2353] lr: 1.396e-02, eta: 23:12:26, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9900, loss_cls: 2.3469, loss: 2.3469 +2025-05-31 18:01:01,485 - pyskl - INFO - Epoch [70][1100/2353] lr: 1.395e-02, eta: 23:11:43, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 2.3747, loss: 2.3747 +2025-05-31 18:01:45,971 - pyskl - INFO - Epoch [70][1200/2353] lr: 1.393e-02, eta: 23:10:59, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 2.3346, loss: 2.3346 +2025-05-31 18:02:30,516 - pyskl - INFO - Epoch [70][1300/2353] lr: 1.392e-02, eta: 23:10:15, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9912, loss_cls: 2.4869, loss: 2.4869 +2025-05-31 18:03:15,131 - pyskl - INFO - Epoch [70][1400/2353] lr: 1.391e-02, eta: 23:09:32, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 2.2693, loss: 2.2693 +2025-05-31 18:03:59,725 - pyskl - INFO - Epoch [70][1500/2353] lr: 1.390e-02, eta: 23:08:49, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9838, loss_cls: 2.3899, loss: 2.3899 +2025-05-31 18:04:44,163 - pyskl - INFO - Epoch [70][1600/2353] lr: 1.389e-02, eta: 23:08:05, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 2.3407, loss: 2.3407 +2025-05-31 18:05:28,607 - pyskl - INFO - Epoch [70][1700/2353] lr: 1.388e-02, eta: 23:07:21, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9831, loss_cls: 2.3996, loss: 2.3996 +2025-05-31 18:06:12,968 - pyskl - INFO - Epoch [70][1800/2353] lr: 1.387e-02, eta: 23:06:38, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9900, loss_cls: 2.2742, loss: 2.2742 +2025-05-31 18:06:57,421 - pyskl - INFO - Epoch [70][1900/2353] lr: 1.386e-02, eta: 23:05:54, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 2.3781, loss: 2.3781 +2025-05-31 18:07:41,826 - pyskl - INFO - Epoch [70][2000/2353] lr: 1.385e-02, eta: 23:05:10, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9919, loss_cls: 2.4088, loss: 2.4088 +2025-05-31 18:08:26,174 - pyskl - INFO - Epoch [70][2100/2353] lr: 1.383e-02, eta: 23:04:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9888, loss_cls: 2.4751, loss: 2.4751 +2025-05-31 18:09:10,506 - pyskl - INFO - Epoch [70][2200/2353] lr: 1.382e-02, eta: 23:03:43, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9850, loss_cls: 2.4603, loss: 2.4603 +2025-05-31 18:09:54,976 - pyskl - INFO - Epoch [70][2300/2353] lr: 1.381e-02, eta: 23:02:59, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 2.3517, loss: 2.3517 +2025-05-31 18:10:19,089 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-05-31 18:18:53,802 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 18:18:53,879 - pyskl - INFO - +top1_acc 0.8941 +top5_acc 0.9899 +2025-05-31 18:18:53,883 - pyskl - INFO - Epoch(val) [70][1184] top1_acc: 0.8941, top5_acc: 0.9899 +2025-05-31 18:19:59,778 - pyskl - INFO - Epoch [71][100/2353] lr: 1.380e-02, eta: 23:01:50, time: 0.659, data_time: 0.211, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 2.3637, loss: 2.3637 +2025-05-31 18:20:44,440 - pyskl - INFO - Epoch [71][200/2353] lr: 1.378e-02, eta: 23:01:07, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 2.2442, loss: 2.2442 +2025-05-31 18:21:29,187 - pyskl - INFO - Epoch [71][300/2353] lr: 1.377e-02, eta: 23:00:23, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 2.3795, loss: 2.3795 +2025-05-31 18:22:13,851 - pyskl - INFO - Epoch [71][400/2353] lr: 1.376e-02, eta: 22:59:40, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9925, loss_cls: 2.2825, loss: 2.2825 +2025-05-31 18:22:58,568 - pyskl - INFO - Epoch [71][500/2353] lr: 1.375e-02, eta: 22:58:57, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 2.3408, loss: 2.3408 +2025-05-31 18:23:43,140 - pyskl - INFO - Epoch [71][600/2353] lr: 1.374e-02, eta: 22:58:13, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9831, loss_cls: 2.4047, loss: 2.4047 +2025-05-31 18:24:27,691 - pyskl - INFO - Epoch [71][700/2353] lr: 1.373e-02, eta: 22:57:29, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 2.3730, loss: 2.3730 +2025-05-31 18:25:12,164 - pyskl - INFO - Epoch [71][800/2353] lr: 1.372e-02, eta: 22:56:46, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 2.3193, loss: 2.3193 +2025-05-31 18:25:56,722 - pyskl - INFO - Epoch [71][900/2353] lr: 1.371e-02, eta: 22:56:02, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 2.4240, loss: 2.4240 +2025-05-31 18:26:41,212 - pyskl - INFO - Epoch [71][1000/2353] lr: 1.370e-02, eta: 22:55:19, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9912, loss_cls: 2.4230, loss: 2.4230 +2025-05-31 18:27:25,651 - pyskl - INFO - Epoch [71][1100/2353] lr: 1.368e-02, eta: 22:54:35, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9881, loss_cls: 2.4232, loss: 2.4232 +2025-05-31 18:28:10,012 - pyskl - INFO - Epoch [71][1200/2353] lr: 1.367e-02, eta: 22:53:51, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9919, loss_cls: 2.3078, loss: 2.3078 +2025-05-31 18:28:54,493 - pyskl - INFO - Epoch [71][1300/2353] lr: 1.366e-02, eta: 22:53:08, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9906, loss_cls: 2.3212, loss: 2.3212 +2025-05-31 18:29:38,891 - pyskl - INFO - Epoch [71][1400/2353] lr: 1.365e-02, eta: 22:52:24, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 2.3533, loss: 2.3533 +2025-05-31 18:30:23,248 - pyskl - INFO - Epoch [71][1500/2353] lr: 1.364e-02, eta: 22:51:40, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 2.4332, loss: 2.4332 +2025-05-31 18:31:07,600 - pyskl - INFO - Epoch [71][1600/2353] lr: 1.363e-02, eta: 22:50:57, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 2.3972, loss: 2.3972 +2025-05-31 18:31:52,113 - pyskl - INFO - Epoch [71][1700/2353] lr: 1.362e-02, eta: 22:50:13, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9831, loss_cls: 2.3755, loss: 2.3755 +2025-05-31 18:32:36,564 - pyskl - INFO - Epoch [71][1800/2353] lr: 1.361e-02, eta: 22:49:29, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 2.3321, loss: 2.3321 +2025-05-31 18:33:21,020 - pyskl - INFO - Epoch [71][1900/2353] lr: 1.360e-02, eta: 22:48:46, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9806, loss_cls: 2.5691, loss: 2.5691 +2025-05-31 18:34:05,458 - pyskl - INFO - Epoch [71][2000/2353] lr: 1.359e-02, eta: 22:48:02, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9919, loss_cls: 2.3185, loss: 2.3185 +2025-05-31 18:34:50,068 - pyskl - INFO - Epoch [71][2100/2353] lr: 1.357e-02, eta: 22:47:18, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 2.3939, loss: 2.3939 +2025-05-31 18:35:34,590 - pyskl - INFO - Epoch [71][2200/2353] lr: 1.356e-02, eta: 22:46:35, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 2.4055, loss: 2.4055 +2025-05-31 18:36:19,009 - pyskl - INFO - Epoch [71][2300/2353] lr: 1.355e-02, eta: 22:45:51, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 2.3779, loss: 2.3779 +2025-05-31 18:36:43,232 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-05-31 18:38:13,259 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 18:38:13,335 - pyskl - INFO - +top1_acc 0.9057 +top5_acc 0.9913 +2025-05-31 18:38:13,338 - pyskl - INFO - Epoch(val) [71][1184] top1_acc: 0.9057, top5_acc: 0.9913 +2025-05-31 18:39:18,909 - pyskl - INFO - Epoch [72][100/2353] lr: 1.353e-02, eta: 22:44:42, time: 0.656, data_time: 0.207, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 2.2447, loss: 2.2447 +2025-05-31 18:40:03,607 - pyskl - INFO - Epoch [72][200/2353] lr: 1.352e-02, eta: 22:43:58, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 2.2402, loss: 2.2402 +2025-05-31 18:40:48,238 - pyskl - INFO - Epoch [72][300/2353] lr: 1.351e-02, eta: 22:43:15, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 2.2821, loss: 2.2821 +2025-05-31 18:41:32,834 - pyskl - INFO - Epoch [72][400/2353] lr: 1.350e-02, eta: 22:42:31, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9869, loss_cls: 2.3968, loss: 2.3968 +2025-05-31 18:42:17,399 - pyskl - INFO - Epoch [72][500/2353] lr: 1.349e-02, eta: 22:41:48, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9850, loss_cls: 2.3821, loss: 2.3821 +2025-05-31 18:43:01,895 - pyskl - INFO - Epoch [72][600/2353] lr: 1.348e-02, eta: 22:41:04, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 2.3839, loss: 2.3839 +2025-05-31 18:43:46,434 - pyskl - INFO - Epoch [72][700/2353] lr: 1.347e-02, eta: 22:40:21, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 2.4219, loss: 2.4219 +2025-05-31 18:44:31,014 - pyskl - INFO - Epoch [72][800/2353] lr: 1.346e-02, eta: 22:39:37, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 2.3634, loss: 2.3634 +2025-05-31 18:45:15,627 - pyskl - INFO - Epoch [72][900/2353] lr: 1.345e-02, eta: 22:38:54, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9900, loss_cls: 2.3125, loss: 2.3125 +2025-05-31 18:46:00,192 - pyskl - INFO - Epoch [72][1000/2353] lr: 1.344e-02, eta: 22:38:10, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9912, loss_cls: 2.3211, loss: 2.3211 +2025-05-31 18:46:44,812 - pyskl - INFO - Epoch [72][1100/2353] lr: 1.342e-02, eta: 22:37:27, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 2.2994, loss: 2.2994 +2025-05-31 18:47:29,410 - pyskl - INFO - Epoch [72][1200/2353] lr: 1.341e-02, eta: 22:36:43, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 2.4364, loss: 2.4364 +2025-05-31 18:48:14,008 - pyskl - INFO - Epoch [72][1300/2353] lr: 1.340e-02, eta: 22:36:00, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 2.3157, loss: 2.3157 +2025-05-31 18:48:58,642 - pyskl - INFO - Epoch [72][1400/2353] lr: 1.339e-02, eta: 22:35:16, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9869, loss_cls: 2.4511, loss: 2.4511 +2025-05-31 18:49:43,267 - pyskl - INFO - Epoch [72][1500/2353] lr: 1.338e-02, eta: 22:34:33, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 2.4487, loss: 2.4487 +2025-05-31 18:50:27,930 - pyskl - INFO - Epoch [72][1600/2353] lr: 1.337e-02, eta: 22:33:49, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9850, loss_cls: 2.4079, loss: 2.4079 +2025-05-31 18:51:12,506 - pyskl - INFO - Epoch [72][1700/2353] lr: 1.336e-02, eta: 22:33:06, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9812, loss_cls: 2.4106, loss: 2.4106 +2025-05-31 18:51:57,068 - pyskl - INFO - Epoch [72][1800/2353] lr: 1.335e-02, eta: 22:32:22, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9862, loss_cls: 2.4445, loss: 2.4445 +2025-05-31 18:52:41,656 - pyskl - INFO - Epoch [72][1900/2353] lr: 1.334e-02, eta: 22:31:39, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 2.4753, loss: 2.4753 +2025-05-31 18:53:26,271 - pyskl - INFO - Epoch [72][2000/2353] lr: 1.332e-02, eta: 22:30:55, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9956, loss_cls: 2.3133, loss: 2.3133 +2025-05-31 18:54:10,818 - pyskl - INFO - Epoch [72][2100/2353] lr: 1.331e-02, eta: 22:30:12, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 2.3866, loss: 2.3866 +2025-05-31 18:54:55,444 - pyskl - INFO - Epoch [72][2200/2353] lr: 1.330e-02, eta: 22:29:28, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 2.3423, loss: 2.3423 +2025-05-31 18:55:40,104 - pyskl - INFO - Epoch [72][2300/2353] lr: 1.329e-02, eta: 22:28:45, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9831, loss_cls: 2.4814, loss: 2.4814 +2025-05-31 18:56:04,302 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-05-31 18:57:33,915 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 18:57:33,996 - pyskl - INFO - +top1_acc 0.9068 +top5_acc 0.9908 +2025-05-31 18:57:34,054 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_69.pth was removed +2025-05-31 18:57:35,158 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_72.pth. +2025-05-31 18:57:35,159 - pyskl - INFO - Best top1_acc is 0.9068 at 72 epoch. +2025-05-31 18:57:35,162 - pyskl - INFO - Epoch(val) [72][1184] top1_acc: 0.9068, top5_acc: 0.9908 +2025-05-31 18:58:41,432 - pyskl - INFO - Epoch [73][100/2353] lr: 1.327e-02, eta: 22:27:36, time: 0.663, data_time: 0.215, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 2.2655, loss: 2.2655 +2025-05-31 18:59:25,841 - pyskl - INFO - Epoch [73][200/2353] lr: 1.326e-02, eta: 22:26:52, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 2.2488, loss: 2.2488 +2025-05-31 19:00:10,161 - pyskl - INFO - Epoch [73][300/2353] lr: 1.325e-02, eta: 22:26:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 2.1745, loss: 2.1745 +2025-05-31 19:00:54,347 - pyskl - INFO - Epoch [73][400/2353] lr: 1.324e-02, eta: 22:25:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9906, loss_cls: 2.2815, loss: 2.2815 +2025-05-31 19:01:38,533 - pyskl - INFO - Epoch [73][500/2353] lr: 1.323e-02, eta: 22:24:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.2219, loss: 2.2219 +2025-05-31 19:02:22,723 - pyskl - INFO - Epoch [73][600/2353] lr: 1.322e-02, eta: 22:23:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 2.3265, loss: 2.3265 +2025-05-31 19:03:06,883 - pyskl - INFO - Epoch [73][700/2353] lr: 1.321e-02, eta: 22:23:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9925, loss_cls: 2.2801, loss: 2.2801 +2025-05-31 19:03:51,285 - pyskl - INFO - Epoch [73][800/2353] lr: 1.320e-02, eta: 22:22:29, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 2.3812, loss: 2.3812 +2025-05-31 19:04:35,528 - pyskl - INFO - Epoch [73][900/2353] lr: 1.319e-02, eta: 22:21:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 2.2869, loss: 2.2869 +2025-05-31 19:05:19,958 - pyskl - INFO - Epoch [73][1000/2353] lr: 1.317e-02, eta: 22:21:01, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 2.2565, loss: 2.2565 +2025-05-31 19:06:04,411 - pyskl - INFO - Epoch [73][1100/2353] lr: 1.316e-02, eta: 22:20:17, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 2.3527, loss: 2.3527 +2025-05-31 19:06:48,774 - pyskl - INFO - Epoch [73][1200/2353] lr: 1.315e-02, eta: 22:19:34, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 2.2898, loss: 2.2898 +2025-05-31 19:07:33,186 - pyskl - INFO - Epoch [73][1300/2353] lr: 1.314e-02, eta: 22:18:50, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9869, loss_cls: 2.4161, loss: 2.4161 +2025-05-31 19:08:17,347 - pyskl - INFO - Epoch [73][1400/2353] lr: 1.313e-02, eta: 22:18:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9950, loss_cls: 2.2108, loss: 2.2108 +2025-05-31 19:09:01,524 - pyskl - INFO - Epoch [73][1500/2353] lr: 1.312e-02, eta: 22:17:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9869, loss_cls: 2.2836, loss: 2.2836 +2025-05-31 19:09:45,669 - pyskl - INFO - Epoch [73][1600/2353] lr: 1.311e-02, eta: 22:16:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9850, loss_cls: 2.4010, loss: 2.4010 +2025-05-31 19:10:29,856 - pyskl - INFO - Epoch [73][1700/2353] lr: 1.310e-02, eta: 22:15:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 2.2920, loss: 2.2920 +2025-05-31 19:11:14,117 - pyskl - INFO - Epoch [73][1800/2353] lr: 1.309e-02, eta: 22:15:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 2.3272, loss: 2.3272 +2025-05-31 19:11:58,324 - pyskl - INFO - Epoch [73][1900/2353] lr: 1.307e-02, eta: 22:14:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9894, loss_cls: 2.4625, loss: 2.4625 +2025-05-31 19:12:42,468 - pyskl - INFO - Epoch [73][2000/2353] lr: 1.306e-02, eta: 22:13:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 2.3125, loss: 2.3125 +2025-05-31 19:13:26,562 - pyskl - INFO - Epoch [73][2100/2353] lr: 1.305e-02, eta: 22:12:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9888, loss_cls: 2.3992, loss: 2.3992 +2025-05-31 19:14:10,663 - pyskl - INFO - Epoch [73][2200/2353] lr: 1.304e-02, eta: 22:12:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 2.3432, loss: 2.3432 +2025-05-31 19:14:54,829 - pyskl - INFO - Epoch [73][2300/2353] lr: 1.303e-02, eta: 22:11:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 2.3941, loss: 2.3941 +2025-05-31 19:15:18,952 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-05-31 19:16:49,340 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 19:16:49,416 - pyskl - INFO - +top1_acc 0.9004 +top5_acc 0.9888 +2025-05-31 19:16:49,421 - pyskl - INFO - Epoch(val) [73][1184] top1_acc: 0.9004, top5_acc: 0.9888 +2025-05-31 19:17:54,849 - pyskl - INFO - Epoch [74][100/2353] lr: 1.301e-02, eta: 22:10:20, time: 0.654, data_time: 0.208, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 2.2022, loss: 2.2022 +2025-05-31 19:18:39,459 - pyskl - INFO - Epoch [74][200/2353] lr: 1.300e-02, eta: 22:09:37, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9906, loss_cls: 2.3134, loss: 2.3134 +2025-05-31 19:19:23,915 - pyskl - INFO - Epoch [74][300/2353] lr: 1.299e-02, eta: 22:08:53, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 2.1846, loss: 2.1846 +2025-05-31 19:20:08,551 - pyskl - INFO - Epoch [74][400/2353] lr: 1.298e-02, eta: 22:08:10, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 2.4056, loss: 2.4056 +2025-05-31 19:20:53,036 - pyskl - INFO - Epoch [74][500/2353] lr: 1.297e-02, eta: 22:07:26, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9931, loss_cls: 2.2735, loss: 2.2735 +2025-05-31 19:21:37,450 - pyskl - INFO - Epoch [74][600/2353] lr: 1.296e-02, eta: 22:06:42, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9950, loss_cls: 2.2427, loss: 2.2427 +2025-05-31 19:22:22,077 - pyskl - INFO - Epoch [74][700/2353] lr: 1.295e-02, eta: 22:05:59, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 2.2003, loss: 2.2003 +2025-05-31 19:23:06,352 - pyskl - INFO - Epoch [74][800/2353] lr: 1.293e-02, eta: 22:05:15, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9925, loss_cls: 2.3829, loss: 2.3829 +2025-05-31 19:23:50,612 - pyskl - INFO - Epoch [74][900/2353] lr: 1.292e-02, eta: 22:04:31, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 2.2946, loss: 2.2946 +2025-05-31 19:24:34,947 - pyskl - INFO - Epoch [74][1000/2353] lr: 1.291e-02, eta: 22:03:47, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9869, loss_cls: 2.3070, loss: 2.3070 +2025-05-31 19:25:19,217 - pyskl - INFO - Epoch [74][1100/2353] lr: 1.290e-02, eta: 22:03:03, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9900, loss_cls: 2.3159, loss: 2.3159 +2025-05-31 19:26:03,389 - pyskl - INFO - Epoch [74][1200/2353] lr: 1.289e-02, eta: 22:02:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 2.3437, loss: 2.3437 +2025-05-31 19:26:47,734 - pyskl - INFO - Epoch [74][1300/2353] lr: 1.288e-02, eta: 22:01:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9894, loss_cls: 2.3475, loss: 2.3475 +2025-05-31 19:27:32,108 - pyskl - INFO - Epoch [74][1400/2353] lr: 1.287e-02, eta: 22:00:52, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 2.3574, loss: 2.3574 +2025-05-31 19:28:16,481 - pyskl - INFO - Epoch [74][1500/2353] lr: 1.286e-02, eta: 22:00:08, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9862, loss_cls: 2.2862, loss: 2.2862 +2025-05-31 19:29:00,986 - pyskl - INFO - Epoch [74][1600/2353] lr: 1.285e-02, eta: 21:59:24, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 2.3749, loss: 2.3749 +2025-05-31 19:29:45,310 - pyskl - INFO - Epoch [74][1700/2353] lr: 1.283e-02, eta: 21:58:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 2.2981, loss: 2.2981 +2025-05-31 19:30:29,619 - pyskl - INFO - Epoch [74][1800/2353] lr: 1.282e-02, eta: 21:57:57, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9881, loss_cls: 2.3206, loss: 2.3206 +2025-05-31 19:31:14,453 - pyskl - INFO - Epoch [74][1900/2353] lr: 1.281e-02, eta: 21:57:13, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 2.3179, loss: 2.3179 +2025-05-31 19:31:59,393 - pyskl - INFO - Epoch [74][2000/2353] lr: 1.280e-02, eta: 21:56:30, time: 0.449, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 2.3313, loss: 2.3313 +2025-05-31 19:32:44,026 - pyskl - INFO - Epoch [74][2100/2353] lr: 1.279e-02, eta: 21:55:47, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9831, loss_cls: 2.3582, loss: 2.3582 +2025-05-31 19:33:28,621 - pyskl - INFO - Epoch [74][2200/2353] lr: 1.278e-02, eta: 21:55:03, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9825, loss_cls: 2.2941, loss: 2.2941 +2025-05-31 19:34:13,218 - pyskl - INFO - Epoch [74][2300/2353] lr: 1.277e-02, eta: 21:54:20, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 2.2232, loss: 2.2232 +2025-05-31 19:34:37,461 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-05-31 19:36:07,560 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 19:36:07,634 - pyskl - INFO - +top1_acc 0.9107 +top5_acc 0.9901 +2025-05-31 19:36:07,705 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_72.pth was removed +2025-05-31 19:36:08,747 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_74.pth. +2025-05-31 19:36:08,748 - pyskl - INFO - Best top1_acc is 0.9107 at 74 epoch. +2025-05-31 19:36:08,751 - pyskl - INFO - Epoch(val) [74][1184] top1_acc: 0.9107, top5_acc: 0.9901 +2025-05-31 19:37:13,719 - pyskl - INFO - Epoch [75][100/2353] lr: 1.275e-02, eta: 21:53:10, time: 0.650, data_time: 0.205, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9938, loss_cls: 2.1928, loss: 2.1928 +2025-05-31 19:37:58,172 - pyskl - INFO - Epoch [75][200/2353] lr: 1.274e-02, eta: 21:52:26, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9938, loss_cls: 2.2769, loss: 2.2769 +2025-05-31 19:38:42,816 - pyskl - INFO - Epoch [75][300/2353] lr: 1.273e-02, eta: 21:51:42, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 2.2969, loss: 2.2969 +2025-05-31 19:39:27,251 - pyskl - INFO - Epoch [75][400/2353] lr: 1.272e-02, eta: 21:50:59, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 2.1920, loss: 2.1920 +2025-05-31 19:40:11,776 - pyskl - INFO - Epoch [75][500/2353] lr: 1.271e-02, eta: 21:50:15, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9856, loss_cls: 2.3249, loss: 2.3249 +2025-05-31 19:40:56,326 - pyskl - INFO - Epoch [75][600/2353] lr: 1.270e-02, eta: 21:49:31, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9838, loss_cls: 2.3253, loss: 2.3253 +2025-05-31 19:41:40,967 - pyskl - INFO - Epoch [75][700/2353] lr: 1.268e-02, eta: 21:48:48, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9944, loss_cls: 2.3080, loss: 2.3080 +2025-05-31 19:42:25,602 - pyskl - INFO - Epoch [75][800/2353] lr: 1.267e-02, eta: 21:48:04, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 2.4384, loss: 2.4384 +2025-05-31 19:43:10,145 - pyskl - INFO - Epoch [75][900/2353] lr: 1.266e-02, eta: 21:47:21, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9844, loss_cls: 2.2887, loss: 2.2887 +2025-05-31 19:43:54,594 - pyskl - INFO - Epoch [75][1000/2353] lr: 1.265e-02, eta: 21:46:37, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9956, loss_cls: 2.2456, loss: 2.2456 +2025-05-31 19:44:38,963 - pyskl - INFO - Epoch [75][1100/2353] lr: 1.264e-02, eta: 21:45:53, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 2.3203, loss: 2.3203 +2025-05-31 19:45:23,429 - pyskl - INFO - Epoch [75][1200/2353] lr: 1.263e-02, eta: 21:45:09, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 2.3169, loss: 2.3169 +2025-05-31 19:46:07,899 - pyskl - INFO - Epoch [75][1300/2353] lr: 1.262e-02, eta: 21:44:26, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 2.3702, loss: 2.3702 +2025-05-31 19:46:52,286 - pyskl - INFO - Epoch [75][1400/2353] lr: 1.261e-02, eta: 21:43:42, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9856, loss_cls: 2.3674, loss: 2.3674 +2025-05-31 19:47:36,699 - pyskl - INFO - Epoch [75][1500/2353] lr: 1.260e-02, eta: 21:42:58, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 2.1908, loss: 2.1908 +2025-05-31 19:48:21,214 - pyskl - INFO - Epoch [75][1600/2353] lr: 1.258e-02, eta: 21:42:15, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 2.3702, loss: 2.3702 +2025-05-31 19:49:05,670 - pyskl - INFO - Epoch [75][1700/2353] lr: 1.257e-02, eta: 21:41:31, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 2.2787, loss: 2.2787 +2025-05-31 19:49:50,125 - pyskl - INFO - Epoch [75][1800/2353] lr: 1.256e-02, eta: 21:40:47, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 2.2996, loss: 2.2996 +2025-05-31 19:50:34,686 - pyskl - INFO - Epoch [75][1900/2353] lr: 1.255e-02, eta: 21:40:04, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9850, loss_cls: 2.4361, loss: 2.4361 +2025-05-31 19:51:19,102 - pyskl - INFO - Epoch [75][2000/2353] lr: 1.254e-02, eta: 21:39:20, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9906, loss_cls: 2.3128, loss: 2.3128 +2025-05-31 19:52:03,485 - pyskl - INFO - Epoch [75][2100/2353] lr: 1.253e-02, eta: 21:38:36, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 2.3544, loss: 2.3544 +2025-05-31 19:52:47,910 - pyskl - INFO - Epoch [75][2200/2353] lr: 1.252e-02, eta: 21:37:52, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9844, loss_cls: 2.3226, loss: 2.3226 +2025-05-31 19:53:32,357 - pyskl - INFO - Epoch [75][2300/2353] lr: 1.251e-02, eta: 21:37:08, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 2.3050, loss: 2.3050 +2025-05-31 19:53:56,548 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-05-31 20:02:59,951 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 20:03:00,025 - pyskl - INFO - +top1_acc 0.9098 +top5_acc 0.9914 +2025-05-31 20:03:00,029 - pyskl - INFO - Epoch(val) [75][1184] top1_acc: 0.9098, top5_acc: 0.9914 +2025-05-31 20:04:05,288 - pyskl - INFO - Epoch [76][100/2353] lr: 1.249e-02, eta: 21:35:59, time: 0.653, data_time: 0.205, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 2.1130, loss: 2.1130 +2025-05-31 20:04:49,994 - pyskl - INFO - Epoch [76][200/2353] lr: 1.248e-02, eta: 21:35:15, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9962, loss_cls: 2.1323, loss: 2.1323 +2025-05-31 20:05:34,617 - pyskl - INFO - Epoch [76][300/2353] lr: 1.247e-02, eta: 21:34:32, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 2.2966, loss: 2.2966 +2025-05-31 20:06:19,078 - pyskl - INFO - Epoch [76][400/2353] lr: 1.246e-02, eta: 21:33:48, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 2.2917, loss: 2.2917 +2025-05-31 20:07:03,496 - pyskl - INFO - Epoch [76][500/2353] lr: 1.244e-02, eta: 21:33:04, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 2.2884, loss: 2.2884 +2025-05-31 20:07:48,063 - pyskl - INFO - Epoch [76][600/2353] lr: 1.243e-02, eta: 21:32:21, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 2.3062, loss: 2.3062 +2025-05-31 20:08:32,577 - pyskl - INFO - Epoch [76][700/2353] lr: 1.242e-02, eta: 21:31:37, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 2.2415, loss: 2.2415 +2025-05-31 20:09:16,996 - pyskl - INFO - Epoch [76][800/2353] lr: 1.241e-02, eta: 21:30:53, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 2.1357, loss: 2.1357 +2025-05-31 20:10:01,400 - pyskl - INFO - Epoch [76][900/2353] lr: 1.240e-02, eta: 21:30:09, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9944, loss_cls: 2.3100, loss: 2.3100 +2025-05-31 20:10:45,855 - pyskl - INFO - Epoch [76][1000/2353] lr: 1.239e-02, eta: 21:29:26, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 2.3689, loss: 2.3689 +2025-05-31 20:11:30,395 - pyskl - INFO - Epoch [76][1100/2353] lr: 1.238e-02, eta: 21:28:42, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 2.2733, loss: 2.2733 +2025-05-31 20:12:14,897 - pyskl - INFO - Epoch [76][1200/2353] lr: 1.237e-02, eta: 21:27:58, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9912, loss_cls: 2.3161, loss: 2.3161 +2025-05-31 20:12:59,248 - pyskl - INFO - Epoch [76][1300/2353] lr: 1.236e-02, eta: 21:27:15, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 2.3127, loss: 2.3127 +2025-05-31 20:13:43,648 - pyskl - INFO - Epoch [76][1400/2353] lr: 1.234e-02, eta: 21:26:31, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 2.3698, loss: 2.3698 +2025-05-31 20:14:28,225 - pyskl - INFO - Epoch [76][1500/2353] lr: 1.233e-02, eta: 21:25:47, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 2.2882, loss: 2.2882 +2025-05-31 20:15:12,807 - pyskl - INFO - Epoch [76][1600/2353] lr: 1.232e-02, eta: 21:25:04, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9850, loss_cls: 2.3836, loss: 2.3836 +2025-05-31 20:15:57,260 - pyskl - INFO - Epoch [76][1700/2353] lr: 1.231e-02, eta: 21:24:20, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 2.3342, loss: 2.3342 +2025-05-31 20:16:41,657 - pyskl - INFO - Epoch [76][1800/2353] lr: 1.230e-02, eta: 21:23:36, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 2.3666, loss: 2.3666 +2025-05-31 20:17:26,058 - pyskl - INFO - Epoch [76][1900/2353] lr: 1.229e-02, eta: 21:22:52, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 2.3235, loss: 2.3235 +2025-05-31 20:18:10,352 - pyskl - INFO - Epoch [76][2000/2353] lr: 1.228e-02, eta: 21:22:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 2.2542, loss: 2.2542 +2025-05-31 20:18:54,751 - pyskl - INFO - Epoch [76][2100/2353] lr: 1.227e-02, eta: 21:21:25, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 2.3106, loss: 2.3106 +2025-05-31 20:19:39,306 - pyskl - INFO - Epoch [76][2200/2353] lr: 1.226e-02, eta: 21:20:41, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 2.2487, loss: 2.2487 +2025-05-31 20:20:23,806 - pyskl - INFO - Epoch [76][2300/2353] lr: 1.224e-02, eta: 21:19:57, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 2.3660, loss: 2.3660 +2025-05-31 20:20:47,950 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-05-31 20:22:17,420 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 20:22:17,496 - pyskl - INFO - +top1_acc 0.9029 +top5_acc 0.9911 +2025-05-31 20:22:17,499 - pyskl - INFO - Epoch(val) [76][1184] top1_acc: 0.9029, top5_acc: 0.9911 +2025-05-31 20:23:22,328 - pyskl - INFO - Epoch [77][100/2353] lr: 1.223e-02, eta: 21:18:47, time: 0.648, data_time: 0.203, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 2.1322, loss: 2.1322 +2025-05-31 20:24:06,895 - pyskl - INFO - Epoch [77][200/2353] lr: 1.222e-02, eta: 21:18:04, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.2051, loss: 2.2051 +2025-05-31 20:24:51,569 - pyskl - INFO - Epoch [77][300/2353] lr: 1.220e-02, eta: 21:17:20, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 2.1704, loss: 2.1704 +2025-05-31 20:25:36,288 - pyskl - INFO - Epoch [77][400/2353] lr: 1.219e-02, eta: 21:16:37, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 2.1305, loss: 2.1305 +2025-05-31 20:26:21,087 - pyskl - INFO - Epoch [77][500/2353] lr: 1.218e-02, eta: 21:15:53, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 2.2829, loss: 2.2829 +2025-05-31 20:27:05,834 - pyskl - INFO - Epoch [77][600/2353] lr: 1.217e-02, eta: 21:15:10, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 2.1877, loss: 2.1877 +2025-05-31 20:27:50,524 - pyskl - INFO - Epoch [77][700/2353] lr: 1.216e-02, eta: 21:14:26, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 2.2096, loss: 2.2096 +2025-05-31 20:28:35,185 - pyskl - INFO - Epoch [77][800/2353] lr: 1.215e-02, eta: 21:13:43, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 2.2681, loss: 2.2681 +2025-05-31 20:29:19,862 - pyskl - INFO - Epoch [77][900/2353] lr: 1.214e-02, eta: 21:12:59, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 2.3031, loss: 2.3031 +2025-05-31 20:30:04,470 - pyskl - INFO - Epoch [77][1000/2353] lr: 1.213e-02, eta: 21:12:16, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 2.2873, loss: 2.2873 +2025-05-31 20:30:49,094 - pyskl - INFO - Epoch [77][1100/2353] lr: 1.212e-02, eta: 21:11:32, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9819, loss_cls: 2.3782, loss: 2.3782 +2025-05-31 20:31:33,775 - pyskl - INFO - Epoch [77][1200/2353] lr: 1.210e-02, eta: 21:10:48, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9919, loss_cls: 2.2396, loss: 2.2396 +2025-05-31 20:32:18,425 - pyskl - INFO - Epoch [77][1300/2353] lr: 1.209e-02, eta: 21:10:05, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 2.2712, loss: 2.2712 +2025-05-31 20:33:03,063 - pyskl - INFO - Epoch [77][1400/2353] lr: 1.208e-02, eta: 21:09:21, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9862, loss_cls: 2.2412, loss: 2.2412 +2025-05-31 20:33:47,758 - pyskl - INFO - Epoch [77][1500/2353] lr: 1.207e-02, eta: 21:08:38, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.1829, loss: 2.1829 +2025-05-31 20:34:32,518 - pyskl - INFO - Epoch [77][1600/2353] lr: 1.206e-02, eta: 21:07:54, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9862, loss_cls: 2.2846, loss: 2.2846 +2025-05-31 20:35:17,293 - pyskl - INFO - Epoch [77][1700/2353] lr: 1.205e-02, eta: 21:07:11, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9906, loss_cls: 2.2816, loss: 2.2816 +2025-05-31 20:36:01,994 - pyskl - INFO - Epoch [77][1800/2353] lr: 1.204e-02, eta: 21:06:27, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9925, loss_cls: 2.3300, loss: 2.3300 +2025-05-31 20:36:46,661 - pyskl - INFO - Epoch [77][1900/2353] lr: 1.203e-02, eta: 21:05:44, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 2.3948, loss: 2.3948 +2025-05-31 20:37:31,319 - pyskl - INFO - Epoch [77][2000/2353] lr: 1.202e-02, eta: 21:05:00, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9850, loss_cls: 2.2994, loss: 2.2994 +2025-05-31 20:38:16,155 - pyskl - INFO - Epoch [77][2100/2353] lr: 1.200e-02, eta: 21:04:17, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9838, loss_cls: 2.3820, loss: 2.3820 +2025-05-31 20:39:00,923 - pyskl - INFO - Epoch [77][2200/2353] lr: 1.199e-02, eta: 21:03:33, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 2.2228, loss: 2.2228 +2025-05-31 20:39:45,516 - pyskl - INFO - Epoch [77][2300/2353] lr: 1.198e-02, eta: 21:02:50, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 2.3464, loss: 2.3464 +2025-05-31 20:40:09,724 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-05-31 20:41:39,317 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 20:41:39,392 - pyskl - INFO - +top1_acc 0.9023 +top5_acc 0.9902 +2025-05-31 20:41:39,395 - pyskl - INFO - Epoch(val) [77][1184] top1_acc: 0.9023, top5_acc: 0.9902 +2025-05-31 20:42:44,175 - pyskl - INFO - Epoch [78][100/2353] lr: 1.197e-02, eta: 21:01:40, time: 0.648, data_time: 0.202, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9944, loss_cls: 2.1427, loss: 2.1427 +2025-05-31 20:43:28,672 - pyskl - INFO - Epoch [78][200/2353] lr: 1.195e-02, eta: 21:00:56, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 2.2240, loss: 2.2240 +2025-05-31 20:44:13,139 - pyskl - INFO - Epoch [78][300/2353] lr: 1.194e-02, eta: 21:00:12, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9931, loss_cls: 2.1974, loss: 2.1974 +2025-05-31 20:44:57,641 - pyskl - INFO - Epoch [78][400/2353] lr: 1.193e-02, eta: 20:59:29, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 2.2091, loss: 2.2091 +2025-05-31 20:45:42,051 - pyskl - INFO - Epoch [78][500/2353] lr: 1.192e-02, eta: 20:58:45, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 2.1427, loss: 2.1427 +2025-05-31 20:46:26,521 - pyskl - INFO - Epoch [78][600/2353] lr: 1.191e-02, eta: 20:58:01, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9950, loss_cls: 2.2085, loss: 2.2085 +2025-05-31 20:47:10,960 - pyskl - INFO - Epoch [78][700/2353] lr: 1.190e-02, eta: 20:57:17, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 2.3070, loss: 2.3070 +2025-05-31 20:47:55,411 - pyskl - INFO - Epoch [78][800/2353] lr: 1.189e-02, eta: 20:56:33, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 2.2957, loss: 2.2957 +2025-05-31 20:48:39,854 - pyskl - INFO - Epoch [78][900/2353] lr: 1.188e-02, eta: 20:55:50, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 2.3419, loss: 2.3419 +2025-05-31 20:49:24,336 - pyskl - INFO - Epoch [78][1000/2353] lr: 1.187e-02, eta: 20:55:06, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 2.2676, loss: 2.2676 +2025-05-31 20:50:08,739 - pyskl - INFO - Epoch [78][1100/2353] lr: 1.185e-02, eta: 20:54:22, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9912, loss_cls: 2.3363, loss: 2.3363 +2025-05-31 20:50:53,123 - pyskl - INFO - Epoch [78][1200/2353] lr: 1.184e-02, eta: 20:53:38, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9869, loss_cls: 2.2942, loss: 2.2942 +2025-05-31 20:51:37,554 - pyskl - INFO - Epoch [78][1300/2353] lr: 1.183e-02, eta: 20:52:54, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9894, loss_cls: 2.2777, loss: 2.2777 +2025-05-31 20:52:22,054 - pyskl - INFO - Epoch [78][1400/2353] lr: 1.182e-02, eta: 20:52:11, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 2.2250, loss: 2.2250 +2025-05-31 20:53:06,566 - pyskl - INFO - Epoch [78][1500/2353] lr: 1.181e-02, eta: 20:51:27, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 2.2174, loss: 2.2174 +2025-05-31 20:53:51,190 - pyskl - INFO - Epoch [78][1600/2353] lr: 1.180e-02, eta: 20:50:43, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9938, loss_cls: 2.2463, loss: 2.2463 +2025-05-31 20:54:35,618 - pyskl - INFO - Epoch [78][1700/2353] lr: 1.179e-02, eta: 20:50:00, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 2.2450, loss: 2.2450 +2025-05-31 20:55:20,168 - pyskl - INFO - Epoch [78][1800/2353] lr: 1.178e-02, eta: 20:49:16, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 2.1783, loss: 2.1783 +2025-05-31 20:56:04,639 - pyskl - INFO - Epoch [78][1900/2353] lr: 1.177e-02, eta: 20:48:32, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 2.3644, loss: 2.3644 +2025-05-31 20:56:49,038 - pyskl - INFO - Epoch [78][2000/2353] lr: 1.175e-02, eta: 20:47:48, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.1700, loss: 2.1700 +2025-05-31 20:57:33,358 - pyskl - INFO - Epoch [78][2100/2353] lr: 1.174e-02, eta: 20:47:04, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 2.1769, loss: 2.1769 +2025-05-31 20:58:17,717 - pyskl - INFO - Epoch [78][2200/2353] lr: 1.173e-02, eta: 20:46:21, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 2.2148, loss: 2.2148 +2025-05-31 20:59:02,012 - pyskl - INFO - Epoch [78][2300/2353] lr: 1.172e-02, eta: 20:45:37, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9900, loss_cls: 2.3359, loss: 2.3359 +2025-05-31 20:59:26,010 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-05-31 21:00:55,529 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 21:00:55,604 - pyskl - INFO - +top1_acc 0.9105 +top5_acc 0.9921 +2025-05-31 21:00:55,608 - pyskl - INFO - Epoch(val) [78][1184] top1_acc: 0.9105, top5_acc: 0.9921 +2025-05-31 21:02:00,372 - pyskl - INFO - Epoch [79][100/2353] lr: 1.170e-02, eta: 20:44:27, time: 0.648, data_time: 0.205, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 2.0862, loss: 2.0862 +2025-05-31 21:02:44,573 - pyskl - INFO - Epoch [79][200/2353] lr: 1.169e-02, eta: 20:43:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9850, loss_cls: 2.2099, loss: 2.2099 +2025-05-31 21:03:28,821 - pyskl - INFO - Epoch [79][300/2353] lr: 1.168e-02, eta: 20:42:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 2.0470, loss: 2.0470 +2025-05-31 21:04:13,210 - pyskl - INFO - Epoch [79][400/2353] lr: 1.167e-02, eta: 20:42:15, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9950, loss_cls: 2.1583, loss: 2.1583 +2025-05-31 21:04:57,725 - pyskl - INFO - Epoch [79][500/2353] lr: 1.166e-02, eta: 20:41:31, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 2.2339, loss: 2.2339 +2025-05-31 21:05:42,236 - pyskl - INFO - Epoch [79][600/2353] lr: 1.165e-02, eta: 20:40:47, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9875, loss_cls: 2.2357, loss: 2.2357 +2025-05-31 21:06:26,647 - pyskl - INFO - Epoch [79][700/2353] lr: 1.164e-02, eta: 20:40:04, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 2.1589, loss: 2.1589 +2025-05-31 21:07:11,065 - pyskl - INFO - Epoch [79][800/2353] lr: 1.163e-02, eta: 20:39:20, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 2.1708, loss: 2.1708 +2025-05-31 21:07:55,478 - pyskl - INFO - Epoch [79][900/2353] lr: 1.162e-02, eta: 20:38:36, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9869, loss_cls: 2.2193, loss: 2.2193 +2025-05-31 21:08:39,946 - pyskl - INFO - Epoch [79][1000/2353] lr: 1.160e-02, eta: 20:37:52, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9938, loss_cls: 2.1061, loss: 2.1061 +2025-05-31 21:09:24,505 - pyskl - INFO - Epoch [79][1100/2353] lr: 1.159e-02, eta: 20:37:09, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 2.2550, loss: 2.2550 +2025-05-31 21:10:09,014 - pyskl - INFO - Epoch [79][1200/2353] lr: 1.158e-02, eta: 20:36:25, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 2.2286, loss: 2.2286 +2025-05-31 21:10:53,524 - pyskl - INFO - Epoch [79][1300/2353] lr: 1.157e-02, eta: 20:35:41, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 2.2847, loss: 2.2847 +2025-05-31 21:11:38,044 - pyskl - INFO - Epoch [79][1400/2353] lr: 1.156e-02, eta: 20:34:57, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9831, loss_cls: 2.2754, loss: 2.2754 +2025-05-31 21:12:22,451 - pyskl - INFO - Epoch [79][1500/2353] lr: 1.155e-02, eta: 20:34:14, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 2.1735, loss: 2.1735 +2025-05-31 21:13:06,919 - pyskl - INFO - Epoch [79][1600/2353] lr: 1.154e-02, eta: 20:33:30, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 2.2043, loss: 2.2043 +2025-05-31 21:13:51,349 - pyskl - INFO - Epoch [79][1700/2353] lr: 1.153e-02, eta: 20:32:46, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9856, loss_cls: 2.2790, loss: 2.2790 +2025-05-31 21:14:35,873 - pyskl - INFO - Epoch [79][1800/2353] lr: 1.152e-02, eta: 20:32:02, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 2.2755, loss: 2.2755 +2025-05-31 21:15:20,296 - pyskl - INFO - Epoch [79][1900/2353] lr: 1.150e-02, eta: 20:31:18, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 2.3304, loss: 2.3304 +2025-05-31 21:16:04,653 - pyskl - INFO - Epoch [79][2000/2353] lr: 1.149e-02, eta: 20:30:35, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9888, loss_cls: 2.2779, loss: 2.2779 +2025-05-31 21:16:49,090 - pyskl - INFO - Epoch [79][2100/2353] lr: 1.148e-02, eta: 20:29:51, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9900, loss_cls: 2.1692, loss: 2.1692 +2025-05-31 21:17:33,571 - pyskl - INFO - Epoch [79][2200/2353] lr: 1.147e-02, eta: 20:29:07, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9869, loss_cls: 2.1964, loss: 2.1964 +2025-05-31 21:18:18,071 - pyskl - INFO - Epoch [79][2300/2353] lr: 1.146e-02, eta: 20:28:23, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9850, loss_cls: 2.3506, loss: 2.3506 +2025-05-31 21:18:42,313 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-05-31 21:20:12,462 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 21:20:12,543 - pyskl - INFO - +top1_acc 0.9221 +top5_acc 0.9932 +2025-05-31 21:20:12,595 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_74.pth was removed +2025-05-31 21:20:13,706 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2025-05-31 21:20:13,707 - pyskl - INFO - Best top1_acc is 0.9221 at 79 epoch. +2025-05-31 21:20:13,710 - pyskl - INFO - Epoch(val) [79][1184] top1_acc: 0.9221, top5_acc: 0.9932 +2025-05-31 21:21:19,042 - pyskl - INFO - Epoch [80][100/2353] lr: 1.144e-02, eta: 20:27:14, time: 0.653, data_time: 0.208, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 2.1740, loss: 2.1740 +2025-05-31 21:22:03,687 - pyskl - INFO - Epoch [80][200/2353] lr: 1.143e-02, eta: 20:26:30, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 2.0785, loss: 2.0785 +2025-05-31 21:22:48,356 - pyskl - INFO - Epoch [80][300/2353] lr: 1.142e-02, eta: 20:25:47, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 2.2189, loss: 2.2189 +2025-05-31 21:23:32,986 - pyskl - INFO - Epoch [80][400/2353] lr: 1.141e-02, eta: 20:25:03, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 2.1929, loss: 2.1929 +2025-05-31 21:24:17,618 - pyskl - INFO - Epoch [80][500/2353] lr: 1.140e-02, eta: 20:24:19, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 2.1870, loss: 2.1870 +2025-05-31 21:25:02,325 - pyskl - INFO - Epoch [80][600/2353] lr: 1.139e-02, eta: 20:23:36, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9912, loss_cls: 2.2919, loss: 2.2919 +2025-05-31 21:25:46,903 - pyskl - INFO - Epoch [80][700/2353] lr: 1.138e-02, eta: 20:22:52, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 2.2772, loss: 2.2772 +2025-05-31 21:26:31,502 - pyskl - INFO - Epoch [80][800/2353] lr: 1.137e-02, eta: 20:22:08, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9938, loss_cls: 2.2218, loss: 2.2218 +2025-05-31 21:27:16,107 - pyskl - INFO - Epoch [80][900/2353] lr: 1.135e-02, eta: 20:21:25, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9862, loss_cls: 2.2084, loss: 2.2084 +2025-05-31 21:28:00,478 - pyskl - INFO - Epoch [80][1000/2353] lr: 1.134e-02, eta: 20:20:41, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 2.1568, loss: 2.1568 +2025-05-31 21:28:44,878 - pyskl - INFO - Epoch [80][1100/2353] lr: 1.133e-02, eta: 20:19:57, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9919, loss_cls: 2.3050, loss: 2.3050 +2025-05-31 21:29:29,222 - pyskl - INFO - Epoch [80][1200/2353] lr: 1.132e-02, eta: 20:19:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9925, loss_cls: 2.2066, loss: 2.2066 +2025-05-31 21:30:13,561 - pyskl - INFO - Epoch [80][1300/2353] lr: 1.131e-02, eta: 20:18:29, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9838, loss_cls: 2.3840, loss: 2.3840 +2025-05-31 21:30:57,910 - pyskl - INFO - Epoch [80][1400/2353] lr: 1.130e-02, eta: 20:17:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 2.1380, loss: 2.1380 +2025-05-31 21:31:42,285 - pyskl - INFO - Epoch [80][1500/2353] lr: 1.129e-02, eta: 20:17:02, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 2.1434, loss: 2.1434 +2025-05-31 21:32:26,654 - pyskl - INFO - Epoch [80][1600/2353] lr: 1.128e-02, eta: 20:16:18, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9944, loss_cls: 2.2776, loss: 2.2776 +2025-05-31 21:33:10,979 - pyskl - INFO - Epoch [80][1700/2353] lr: 1.127e-02, eta: 20:15:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9862, loss_cls: 2.1694, loss: 2.1694 +2025-05-31 21:33:55,308 - pyskl - INFO - Epoch [80][1800/2353] lr: 1.125e-02, eta: 20:14:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 2.1230, loss: 2.1230 +2025-05-31 21:34:39,623 - pyskl - INFO - Epoch [80][1900/2353] lr: 1.124e-02, eta: 20:14:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9931, loss_cls: 2.1229, loss: 2.1229 +2025-05-31 21:35:23,910 - pyskl - INFO - Epoch [80][2000/2353] lr: 1.123e-02, eta: 20:13:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9925, loss_cls: 2.2075, loss: 2.2075 +2025-05-31 21:36:08,300 - pyskl - INFO - Epoch [80][2100/2353] lr: 1.122e-02, eta: 20:12:38, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 2.2815, loss: 2.2815 +2025-05-31 21:36:52,763 - pyskl - INFO - Epoch [80][2200/2353] lr: 1.121e-02, eta: 20:11:54, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9925, loss_cls: 2.2711, loss: 2.2711 +2025-05-31 21:37:37,253 - pyskl - INFO - Epoch [80][2300/2353] lr: 1.120e-02, eta: 20:11:11, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 2.2960, loss: 2.2960 +2025-05-31 21:38:01,369 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-05-31 21:46:40,038 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 21:46:40,113 - pyskl - INFO - +top1_acc 0.9160 +top5_acc 0.9907 +2025-05-31 21:46:40,116 - pyskl - INFO - Epoch(val) [80][1184] top1_acc: 0.9160, top5_acc: 0.9907 +2025-05-31 21:47:45,259 - pyskl - INFO - Epoch [81][100/2353] lr: 1.118e-02, eta: 20:10:01, time: 0.651, data_time: 0.207, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 2.0787, loss: 2.0787 +2025-05-31 21:48:30,035 - pyskl - INFO - Epoch [81][200/2353] lr: 1.117e-02, eta: 20:09:18, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 2.0961, loss: 2.0961 +2025-05-31 21:49:14,710 - pyskl - INFO - Epoch [81][300/2353] lr: 1.116e-02, eta: 20:08:34, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 2.3359, loss: 2.3359 +2025-05-31 21:49:59,406 - pyskl - INFO - Epoch [81][400/2353] lr: 1.115e-02, eta: 20:07:50, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9944, loss_cls: 2.1918, loss: 2.1918 +2025-05-31 21:50:44,058 - pyskl - INFO - Epoch [81][500/2353] lr: 1.114e-02, eta: 20:07:07, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 2.2134, loss: 2.2134 +2025-05-31 21:51:28,718 - pyskl - INFO - Epoch [81][600/2353] lr: 1.113e-02, eta: 20:06:23, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 2.1475, loss: 2.1475 +2025-05-31 21:52:13,358 - pyskl - INFO - Epoch [81][700/2353] lr: 1.112e-02, eta: 20:05:39, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9881, loss_cls: 2.1848, loss: 2.1848 +2025-05-31 21:52:57,934 - pyskl - INFO - Epoch [81][800/2353] lr: 1.111e-02, eta: 20:04:56, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 2.1006, loss: 2.1006 +2025-05-31 21:53:42,480 - pyskl - INFO - Epoch [81][900/2353] lr: 1.109e-02, eta: 20:04:12, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9894, loss_cls: 2.0585, loss: 2.0585 +2025-05-31 21:54:27,042 - pyskl - INFO - Epoch [81][1000/2353] lr: 1.108e-02, eta: 20:03:28, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 2.1519, loss: 2.1519 +2025-05-31 21:55:11,517 - pyskl - INFO - Epoch [81][1100/2353] lr: 1.107e-02, eta: 20:02:44, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 2.1342, loss: 2.1342 +2025-05-31 21:55:56,110 - pyskl - INFO - Epoch [81][1200/2353] lr: 1.106e-02, eta: 20:02:01, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 2.2785, loss: 2.2785 +2025-05-31 21:56:40,726 - pyskl - INFO - Epoch [81][1300/2353] lr: 1.105e-02, eta: 20:01:17, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 2.3263, loss: 2.3263 +2025-05-31 21:57:25,265 - pyskl - INFO - Epoch [81][1400/2353] lr: 1.104e-02, eta: 20:00:33, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 2.1207, loss: 2.1207 +2025-05-31 21:58:09,814 - pyskl - INFO - Epoch [81][1500/2353] lr: 1.103e-02, eta: 19:59:50, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 2.2720, loss: 2.2720 +2025-05-31 21:58:54,598 - pyskl - INFO - Epoch [81][1600/2353] lr: 1.102e-02, eta: 19:59:06, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 2.1538, loss: 2.1538 +2025-05-31 21:59:39,214 - pyskl - INFO - Epoch [81][1700/2353] lr: 1.101e-02, eta: 19:58:22, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 2.1289, loss: 2.1289 +2025-05-31 22:00:23,806 - pyskl - INFO - Epoch [81][1800/2353] lr: 1.099e-02, eta: 19:57:39, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9844, loss_cls: 2.2361, loss: 2.2361 +2025-05-31 22:01:08,338 - pyskl - INFO - Epoch [81][1900/2353] lr: 1.098e-02, eta: 19:56:55, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 2.2414, loss: 2.2414 +2025-05-31 22:01:52,930 - pyskl - INFO - Epoch [81][2000/2353] lr: 1.097e-02, eta: 19:56:11, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9912, loss_cls: 2.2990, loss: 2.2990 +2025-05-31 22:02:37,464 - pyskl - INFO - Epoch [81][2100/2353] lr: 1.096e-02, eta: 19:55:28, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 2.2103, loss: 2.2103 +2025-05-31 22:03:22,009 - pyskl - INFO - Epoch [81][2200/2353] lr: 1.095e-02, eta: 19:54:44, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9912, loss_cls: 2.2940, loss: 2.2940 +2025-05-31 22:04:06,521 - pyskl - INFO - Epoch [81][2300/2353] lr: 1.094e-02, eta: 19:54:00, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 2.0501, loss: 2.0501 +2025-05-31 22:04:30,749 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-05-31 22:06:00,543 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 22:06:00,619 - pyskl - INFO - +top1_acc 0.9125 +top5_acc 0.9913 +2025-05-31 22:06:00,622 - pyskl - INFO - Epoch(val) [81][1184] top1_acc: 0.9125, top5_acc: 0.9913 +2025-05-31 22:07:05,734 - pyskl - INFO - Epoch [82][100/2353] lr: 1.092e-02, eta: 19:52:51, time: 0.651, data_time: 0.205, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9912, loss_cls: 2.0735, loss: 2.0735 +2025-05-31 22:07:50,363 - pyskl - INFO - Epoch [82][200/2353] lr: 1.091e-02, eta: 19:52:07, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9906, loss_cls: 2.0730, loss: 2.0730 +2025-05-31 22:08:34,944 - pyskl - INFO - Epoch [82][300/2353] lr: 1.090e-02, eta: 19:51:23, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 2.1230, loss: 2.1230 +2025-05-31 22:09:19,713 - pyskl - INFO - Epoch [82][400/2353] lr: 1.089e-02, eta: 19:50:40, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.0910, loss: 2.0910 +2025-05-31 22:10:04,494 - pyskl - INFO - Epoch [82][500/2353] lr: 1.088e-02, eta: 19:49:56, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9856, loss_cls: 2.2427, loss: 2.2427 +2025-05-31 22:10:49,215 - pyskl - INFO - Epoch [82][600/2353] lr: 1.087e-02, eta: 19:49:12, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 2.2404, loss: 2.2404 +2025-05-31 22:11:33,884 - pyskl - INFO - Epoch [82][700/2353] lr: 1.086e-02, eta: 19:48:29, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 2.1176, loss: 2.1176 +2025-05-31 22:12:18,359 - pyskl - INFO - Epoch [82][800/2353] lr: 1.085e-02, eta: 19:47:45, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 2.1013, loss: 2.1013 +2025-05-31 22:13:02,776 - pyskl - INFO - Epoch [82][900/2353] lr: 1.083e-02, eta: 19:47:01, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 2.0921, loss: 2.0921 +2025-05-31 22:13:47,357 - pyskl - INFO - Epoch [82][1000/2353] lr: 1.082e-02, eta: 19:46:17, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9875, loss_cls: 2.1757, loss: 2.1757 +2025-05-31 22:14:31,873 - pyskl - INFO - Epoch [82][1100/2353] lr: 1.081e-02, eta: 19:45:34, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 2.1053, loss: 2.1053 +2025-05-31 22:15:16,509 - pyskl - INFO - Epoch [82][1200/2353] lr: 1.080e-02, eta: 19:44:50, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 2.2342, loss: 2.2342 +2025-05-31 22:16:01,070 - pyskl - INFO - Epoch [82][1300/2353] lr: 1.079e-02, eta: 19:44:06, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9844, loss_cls: 2.1635, loss: 2.1635 +2025-05-31 22:16:45,591 - pyskl - INFO - Epoch [82][1400/2353] lr: 1.078e-02, eta: 19:43:23, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 2.3290, loss: 2.3290 +2025-05-31 22:17:30,233 - pyskl - INFO - Epoch [82][1500/2353] lr: 1.077e-02, eta: 19:42:39, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 2.2024, loss: 2.2024 +2025-05-31 22:18:14,822 - pyskl - INFO - Epoch [82][1600/2353] lr: 1.076e-02, eta: 19:41:55, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9912, loss_cls: 2.1788, loss: 2.1788 +2025-05-31 22:18:59,531 - pyskl - INFO - Epoch [82][1700/2353] lr: 1.075e-02, eta: 19:41:12, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 2.2766, loss: 2.2766 +2025-05-31 22:19:44,142 - pyskl - INFO - Epoch [82][1800/2353] lr: 1.073e-02, eta: 19:40:28, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 2.0641, loss: 2.0641 +2025-05-31 22:20:28,772 - pyskl - INFO - Epoch [82][1900/2353] lr: 1.072e-02, eta: 19:39:44, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9856, loss_cls: 2.3355, loss: 2.3355 +2025-05-31 22:21:13,407 - pyskl - INFO - Epoch [82][2000/2353] lr: 1.071e-02, eta: 19:39:00, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 2.2037, loss: 2.2037 +2025-05-31 22:21:57,961 - pyskl - INFO - Epoch [82][2100/2353] lr: 1.070e-02, eta: 19:38:17, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 2.1508, loss: 2.1508 +2025-05-31 22:22:42,561 - pyskl - INFO - Epoch [82][2200/2353] lr: 1.069e-02, eta: 19:37:33, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 2.2185, loss: 2.2185 +2025-05-31 22:23:27,214 - pyskl - INFO - Epoch [82][2300/2353] lr: 1.068e-02, eta: 19:36:49, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9900, loss_cls: 2.1381, loss: 2.1381 +2025-05-31 22:23:51,443 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-05-31 22:25:21,616 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 22:25:21,691 - pyskl - INFO - +top1_acc 0.8877 +top5_acc 0.9873 +2025-05-31 22:25:21,694 - pyskl - INFO - Epoch(val) [82][1184] top1_acc: 0.8877, top5_acc: 0.9873 +2025-05-31 22:26:27,235 - pyskl - INFO - Epoch [83][100/2353] lr: 1.066e-02, eta: 19:35:40, time: 0.655, data_time: 0.208, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 2.1691, loss: 2.1691 +2025-05-31 22:27:11,907 - pyskl - INFO - Epoch [83][200/2353] lr: 1.065e-02, eta: 19:34:57, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 2.1643, loss: 2.1643 +2025-05-31 22:27:56,625 - pyskl - INFO - Epoch [83][300/2353] lr: 1.064e-02, eta: 19:34:13, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 2.1472, loss: 2.1472 +2025-05-31 22:28:41,328 - pyskl - INFO - Epoch [83][400/2353] lr: 1.063e-02, eta: 19:33:29, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 2.1030, loss: 2.1030 +2025-05-31 22:29:25,947 - pyskl - INFO - Epoch [83][500/2353] lr: 1.062e-02, eta: 19:32:46, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 2.1827, loss: 2.1827 +2025-05-31 22:30:10,566 - pyskl - INFO - Epoch [83][600/2353] lr: 1.061e-02, eta: 19:32:02, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 2.1885, loss: 2.1885 +2025-05-31 22:30:55,118 - pyskl - INFO - Epoch [83][700/2353] lr: 1.060e-02, eta: 19:31:18, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 2.2867, loss: 2.2867 +2025-05-31 22:31:39,654 - pyskl - INFO - Epoch [83][800/2353] lr: 1.059e-02, eta: 19:30:34, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9931, loss_cls: 2.1933, loss: 2.1933 +2025-05-31 22:32:24,127 - pyskl - INFO - Epoch [83][900/2353] lr: 1.058e-02, eta: 19:29:51, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 2.0846, loss: 2.0846 +2025-05-31 22:33:08,627 - pyskl - INFO - Epoch [83][1000/2353] lr: 1.056e-02, eta: 19:29:07, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9944, loss_cls: 2.1407, loss: 2.1407 +2025-05-31 22:33:53,291 - pyskl - INFO - Epoch [83][1100/2353] lr: 1.055e-02, eta: 19:28:23, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 2.0531, loss: 2.0531 +2025-05-31 22:34:37,932 - pyskl - INFO - Epoch [83][1200/2353] lr: 1.054e-02, eta: 19:27:39, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 2.2765, loss: 2.2765 +2025-05-31 22:35:22,456 - pyskl - INFO - Epoch [83][1300/2353] lr: 1.053e-02, eta: 19:26:56, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 2.1689, loss: 2.1689 +2025-05-31 22:36:07,291 - pyskl - INFO - Epoch [83][1400/2353] lr: 1.052e-02, eta: 19:26:12, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9912, loss_cls: 2.1450, loss: 2.1450 +2025-05-31 22:36:51,744 - pyskl - INFO - Epoch [83][1500/2353] lr: 1.051e-02, eta: 19:25:28, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9919, loss_cls: 2.2328, loss: 2.2328 +2025-05-31 22:37:36,001 - pyskl - INFO - Epoch [83][1600/2353] lr: 1.050e-02, eta: 19:24:44, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 2.2081, loss: 2.2081 +2025-05-31 22:38:20,174 - pyskl - INFO - Epoch [83][1700/2353] lr: 1.049e-02, eta: 19:24:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9856, loss_cls: 2.3259, loss: 2.3259 +2025-05-31 22:39:04,507 - pyskl - INFO - Epoch [83][1800/2353] lr: 1.048e-02, eta: 19:23:16, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9944, loss_cls: 2.1642, loss: 2.1642 +2025-05-31 22:39:48,665 - pyskl - INFO - Epoch [83][1900/2353] lr: 1.047e-02, eta: 19:22:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 2.1442, loss: 2.1442 +2025-05-31 22:40:32,789 - pyskl - INFO - Epoch [83][2000/2353] lr: 1.045e-02, eta: 19:21:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9856, loss_cls: 2.2143, loss: 2.2143 +2025-05-31 22:41:16,890 - pyskl - INFO - Epoch [83][2100/2353] lr: 1.044e-02, eta: 19:21:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9931, loss_cls: 2.1674, loss: 2.1674 +2025-05-31 22:42:01,052 - pyskl - INFO - Epoch [83][2200/2353] lr: 1.043e-02, eta: 19:20:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 2.1992, loss: 2.1992 +2025-05-31 22:42:45,533 - pyskl - INFO - Epoch [83][2300/2353] lr: 1.042e-02, eta: 19:19:36, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9938, loss_cls: 2.1068, loss: 2.1068 +2025-05-31 22:43:09,659 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-05-31 22:44:40,127 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 22:44:40,208 - pyskl - INFO - +top1_acc 0.9199 +top5_acc 0.9925 +2025-05-31 22:44:40,211 - pyskl - INFO - Epoch(val) [83][1184] top1_acc: 0.9199, top5_acc: 0.9925 +2025-05-31 22:45:44,972 - pyskl - INFO - Epoch [84][100/2353] lr: 1.040e-02, eta: 19:18:26, time: 0.648, data_time: 0.204, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 2.1365, loss: 2.1365 +2025-05-31 22:46:29,446 - pyskl - INFO - Epoch [84][200/2353] lr: 1.039e-02, eta: 19:17:42, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 2.0677, loss: 2.0677 +2025-05-31 22:47:13,808 - pyskl - INFO - Epoch [84][300/2353] lr: 1.038e-02, eta: 19:16:58, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9944, loss_cls: 2.1571, loss: 2.1571 +2025-05-31 22:47:58,009 - pyskl - INFO - Epoch [84][400/2353] lr: 1.037e-02, eta: 19:16:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 2.1031, loss: 2.1031 +2025-05-31 22:48:42,246 - pyskl - INFO - Epoch [84][500/2353] lr: 1.036e-02, eta: 19:15:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 2.0635, loss: 2.0635 +2025-05-31 22:49:26,469 - pyskl - INFO - Epoch [84][600/2353] lr: 1.035e-02, eta: 19:14:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 1.9999, loss: 1.9999 +2025-05-31 22:50:10,707 - pyskl - INFO - Epoch [84][700/2353] lr: 1.034e-02, eta: 19:14:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9862, loss_cls: 2.1937, loss: 2.1937 +2025-05-31 22:50:54,756 - pyskl - INFO - Epoch [84][800/2353] lr: 1.033e-02, eta: 19:13:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9950, loss_cls: 2.1958, loss: 2.1958 +2025-05-31 22:51:38,873 - pyskl - INFO - Epoch [84][900/2353] lr: 1.032e-02, eta: 19:12:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 2.1030, loss: 2.1030 +2025-05-31 22:52:23,168 - pyskl - INFO - Epoch [84][1000/2353] lr: 1.031e-02, eta: 19:11:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 2.0294, loss: 2.0294 +2025-05-31 22:53:07,885 - pyskl - INFO - Epoch [84][1100/2353] lr: 1.029e-02, eta: 19:11:06, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 2.1645, loss: 2.1645 +2025-05-31 22:53:52,117 - pyskl - INFO - Epoch [84][1200/2353] lr: 1.028e-02, eta: 19:10:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 2.1059, loss: 2.1059 +2025-05-31 22:54:36,358 - pyskl - INFO - Epoch [84][1300/2353] lr: 1.027e-02, eta: 19:09:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 2.2117, loss: 2.2117 +2025-05-31 22:55:20,660 - pyskl - INFO - Epoch [84][1400/2353] lr: 1.026e-02, eta: 19:08:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 2.0859, loss: 2.0859 +2025-05-31 22:56:04,896 - pyskl - INFO - Epoch [84][1500/2353] lr: 1.025e-02, eta: 19:08:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9894, loss_cls: 2.1605, loss: 2.1605 +2025-05-31 22:56:49,045 - pyskl - INFO - Epoch [84][1600/2353] lr: 1.024e-02, eta: 19:07:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 2.0991, loss: 2.0991 +2025-05-31 22:57:33,252 - pyskl - INFO - Epoch [84][1700/2353] lr: 1.023e-02, eta: 19:06:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 2.1469, loss: 2.1469 +2025-05-31 22:58:17,408 - pyskl - INFO - Epoch [84][1800/2353] lr: 1.022e-02, eta: 19:05:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9875, loss_cls: 2.1451, loss: 2.1451 +2025-05-31 22:59:01,488 - pyskl - INFO - Epoch [84][1900/2353] lr: 1.021e-02, eta: 19:05:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9938, loss_cls: 2.2344, loss: 2.2344 +2025-05-31 22:59:45,683 - pyskl - INFO - Epoch [84][2000/2353] lr: 1.020e-02, eta: 19:04:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 2.1834, loss: 2.1834 +2025-05-31 23:00:29,872 - pyskl - INFO - Epoch [84][2100/2353] lr: 1.019e-02, eta: 19:03:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 2.2246, loss: 2.2246 +2025-05-31 23:01:14,042 - pyskl - INFO - Epoch [84][2200/2353] lr: 1.017e-02, eta: 19:03:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9912, loss_cls: 2.2882, loss: 2.2882 +2025-05-31 23:01:58,285 - pyskl - INFO - Epoch [84][2300/2353] lr: 1.016e-02, eta: 19:02:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 2.2147, loss: 2.2147 +2025-05-31 23:02:22,319 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-05-31 23:03:51,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 23:03:51,919 - pyskl - INFO - +top1_acc 0.9123 +top5_acc 0.9918 +2025-05-31 23:03:51,923 - pyskl - INFO - Epoch(val) [84][1184] top1_acc: 0.9123, top5_acc: 0.9918 +2025-05-31 23:04:57,315 - pyskl - INFO - Epoch [85][100/2353] lr: 1.015e-02, eta: 19:01:09, time: 0.654, data_time: 0.208, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9956, loss_cls: 2.0202, loss: 2.0202 +2025-05-31 23:05:41,652 - pyskl - INFO - Epoch [85][200/2353] lr: 1.014e-02, eta: 19:00:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 2.1000, loss: 2.1000 +2025-05-31 23:06:26,000 - pyskl - INFO - Epoch [85][300/2353] lr: 1.013e-02, eta: 18:59:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 2.0467, loss: 2.0467 +2025-05-31 23:07:10,361 - pyskl - INFO - Epoch [85][400/2353] lr: 1.011e-02, eta: 18:58:57, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 2.1131, loss: 2.1131 +2025-05-31 23:07:54,681 - pyskl - INFO - Epoch [85][500/2353] lr: 1.010e-02, eta: 18:58:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9962, loss_cls: 2.1102, loss: 2.1102 +2025-05-31 23:08:38,973 - pyskl - INFO - Epoch [85][600/2353] lr: 1.009e-02, eta: 18:57:29, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 2.1272, loss: 2.1272 +2025-05-31 23:09:23,376 - pyskl - INFO - Epoch [85][700/2353] lr: 1.008e-02, eta: 18:56:45, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 2.1438, loss: 2.1438 +2025-05-31 23:10:07,977 - pyskl - INFO - Epoch [85][800/2353] lr: 1.007e-02, eta: 18:56:01, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 2.0845, loss: 2.0845 +2025-05-31 23:10:52,528 - pyskl - INFO - Epoch [85][900/2353] lr: 1.006e-02, eta: 18:55:17, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9894, loss_cls: 2.0553, loss: 2.0553 +2025-05-31 23:11:36,940 - pyskl - INFO - Epoch [85][1000/2353] lr: 1.005e-02, eta: 18:54:34, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 2.1644, loss: 2.1644 +2025-05-31 23:12:21,406 - pyskl - INFO - Epoch [85][1100/2353] lr: 1.004e-02, eta: 18:53:50, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 2.0647, loss: 2.0647 +2025-05-31 23:13:05,776 - pyskl - INFO - Epoch [85][1200/2353] lr: 1.003e-02, eta: 18:53:06, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9950, loss_cls: 2.0078, loss: 2.0078 +2025-05-31 23:13:50,218 - pyskl - INFO - Epoch [85][1300/2353] lr: 1.002e-02, eta: 18:52:22, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 2.1663, loss: 2.1663 +2025-05-31 23:14:34,400 - pyskl - INFO - Epoch [85][1400/2353] lr: 1.001e-02, eta: 18:51:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9944, loss_cls: 2.0781, loss: 2.0781 +2025-05-31 23:15:18,686 - pyskl - INFO - Epoch [85][1500/2353] lr: 9.994e-03, eta: 18:50:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 2.2634, loss: 2.2634 +2025-05-31 23:16:02,984 - pyskl - INFO - Epoch [85][1600/2353] lr: 9.983e-03, eta: 18:50:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9869, loss_cls: 2.1875, loss: 2.1875 +2025-05-31 23:16:47,509 - pyskl - INFO - Epoch [85][1700/2353] lr: 9.972e-03, eta: 18:49:26, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 2.1074, loss: 2.1074 +2025-05-31 23:17:31,916 - pyskl - INFO - Epoch [85][1800/2353] lr: 9.961e-03, eta: 18:48:42, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 2.1524, loss: 2.1524 +2025-05-31 23:18:16,296 - pyskl - INFO - Epoch [85][1900/2353] lr: 9.951e-03, eta: 18:47:58, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 2.1217, loss: 2.1217 +2025-05-31 23:19:00,616 - pyskl - INFO - Epoch [85][2000/2353] lr: 9.940e-03, eta: 18:47:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 2.2081, loss: 2.2081 +2025-05-31 23:19:45,002 - pyskl - INFO - Epoch [85][2100/2353] lr: 9.929e-03, eta: 18:46:30, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 2.2302, loss: 2.2302 +2025-05-31 23:20:29,277 - pyskl - INFO - Epoch [85][2200/2353] lr: 9.918e-03, eta: 18:45:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 2.1334, loss: 2.1334 +2025-05-31 23:21:13,784 - pyskl - INFO - Epoch [85][2300/2353] lr: 9.907e-03, eta: 18:45:03, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 2.1623, loss: 2.1623 +2025-05-31 23:21:37,825 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-05-31 23:30:45,545 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 23:30:45,621 - pyskl - INFO - +top1_acc 0.9001 +top5_acc 0.9918 +2025-05-31 23:30:45,623 - pyskl - INFO - Epoch(val) [85][1184] top1_acc: 0.9001, top5_acc: 0.9918 +2025-05-31 23:31:50,018 - pyskl - INFO - Epoch [86][100/2353] lr: 9.890e-03, eta: 18:43:53, time: 0.644, data_time: 0.201, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 2.0780, loss: 2.0780 +2025-05-31 23:32:34,128 - pyskl - INFO - Epoch [86][200/2353] lr: 9.879e-03, eta: 18:43:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 2.0755, loss: 2.0755 +2025-05-31 23:33:18,331 - pyskl - INFO - Epoch [86][300/2353] lr: 9.869e-03, eta: 18:42:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9906, loss_cls: 2.0227, loss: 2.0227 +2025-05-31 23:34:02,567 - pyskl - INFO - Epoch [86][400/2353] lr: 9.858e-03, eta: 18:41:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 2.0361, loss: 2.0361 +2025-05-31 23:34:46,778 - pyskl - INFO - Epoch [86][500/2353] lr: 9.847e-03, eta: 18:40:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 2.1727, loss: 2.1727 +2025-05-31 23:35:31,056 - pyskl - INFO - Epoch [86][600/2353] lr: 9.836e-03, eta: 18:40:12, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 2.1726, loss: 2.1726 +2025-05-31 23:36:15,432 - pyskl - INFO - Epoch [86][700/2353] lr: 9.825e-03, eta: 18:39:28, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 2.0694, loss: 2.0694 +2025-05-31 23:36:59,660 - pyskl - INFO - Epoch [86][800/2353] lr: 9.814e-03, eta: 18:38:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 2.2196, loss: 2.2196 +2025-05-31 23:37:43,823 - pyskl - INFO - Epoch [86][900/2353] lr: 9.803e-03, eta: 18:38:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 2.0224, loss: 2.0224 +2025-05-31 23:38:27,946 - pyskl - INFO - Epoch [86][1000/2353] lr: 9.792e-03, eta: 18:37:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 2.1700, loss: 2.1700 +2025-05-31 23:39:12,109 - pyskl - INFO - Epoch [86][1100/2353] lr: 9.782e-03, eta: 18:36:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 2.0777, loss: 2.0777 +2025-05-31 23:39:56,363 - pyskl - INFO - Epoch [86][1200/2353] lr: 9.771e-03, eta: 18:35:48, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 2.1688, loss: 2.1688 +2025-05-31 23:40:40,828 - pyskl - INFO - Epoch [86][1300/2353] lr: 9.760e-03, eta: 18:35:04, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 2.1919, loss: 2.1919 +2025-05-31 23:41:24,920 - pyskl - INFO - Epoch [86][1400/2353] lr: 9.749e-03, eta: 18:34:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 2.0960, loss: 2.0960 +2025-05-31 23:42:09,145 - pyskl - INFO - Epoch [86][1500/2353] lr: 9.738e-03, eta: 18:33:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 2.0058, loss: 2.0058 +2025-05-31 23:42:53,255 - pyskl - INFO - Epoch [86][1600/2353] lr: 9.727e-03, eta: 18:32:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 2.2129, loss: 2.2129 +2025-05-31 23:43:37,357 - pyskl - INFO - Epoch [86][1700/2353] lr: 9.717e-03, eta: 18:32:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 2.1233, loss: 2.1233 +2025-05-31 23:44:21,610 - pyskl - INFO - Epoch [86][1800/2353] lr: 9.706e-03, eta: 18:31:24, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 2.1404, loss: 2.1404 +2025-05-31 23:45:05,829 - pyskl - INFO - Epoch [86][1900/2353] lr: 9.695e-03, eta: 18:30:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9912, loss_cls: 2.1697, loss: 2.1697 +2025-05-31 23:45:49,949 - pyskl - INFO - Epoch [86][2000/2353] lr: 9.684e-03, eta: 18:29:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9869, loss_cls: 2.1694, loss: 2.1694 +2025-05-31 23:46:34,029 - pyskl - INFO - Epoch [86][2100/2353] lr: 9.673e-03, eta: 18:29:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 2.1815, loss: 2.1815 +2025-05-31 23:47:18,196 - pyskl - INFO - Epoch [86][2200/2353] lr: 9.662e-03, eta: 18:28:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 2.0853, loss: 2.0853 +2025-05-31 23:48:02,345 - pyskl - INFO - Epoch [86][2300/2353] lr: 9.651e-03, eta: 18:27:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 2.1657, loss: 2.1657 +2025-05-31 23:48:26,310 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-05-31 23:49:55,344 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-31 23:49:55,419 - pyskl - INFO - +top1_acc 0.9191 +top5_acc 0.9922 +2025-05-31 23:49:55,422 - pyskl - INFO - Epoch(val) [86][1184] top1_acc: 0.9191, top5_acc: 0.9922 +2025-05-31 23:50:59,701 - pyskl - INFO - Epoch [87][100/2353] lr: 9.635e-03, eta: 18:26:33, time: 0.643, data_time: 0.198, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 2.0365, loss: 2.0365 +2025-05-31 23:51:44,062 - pyskl - INFO - Epoch [87][200/2353] lr: 9.624e-03, eta: 18:25:49, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 1.9880, loss: 1.9880 +2025-05-31 23:52:28,441 - pyskl - INFO - Epoch [87][300/2353] lr: 9.613e-03, eta: 18:25:06, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9894, loss_cls: 2.0121, loss: 2.0121 +2025-05-31 23:53:12,788 - pyskl - INFO - Epoch [87][400/2353] lr: 9.602e-03, eta: 18:24:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9962, loss_cls: 2.0258, loss: 2.0258 +2025-05-31 23:53:57,177 - pyskl - INFO - Epoch [87][500/2353] lr: 9.592e-03, eta: 18:23:38, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 1.9844, loss: 1.9844 +2025-05-31 23:54:41,522 - pyskl - INFO - Epoch [87][600/2353] lr: 9.581e-03, eta: 18:22:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 2.0813, loss: 2.0813 +2025-05-31 23:55:25,852 - pyskl - INFO - Epoch [87][700/2353] lr: 9.570e-03, eta: 18:22:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9925, loss_cls: 2.1595, loss: 2.1595 +2025-05-31 23:56:10,120 - pyskl - INFO - Epoch [87][800/2353] lr: 9.559e-03, eta: 18:21:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 2.0582, loss: 2.0582 +2025-05-31 23:56:54,420 - pyskl - INFO - Epoch [87][900/2353] lr: 9.548e-03, eta: 18:20:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 2.0671, loss: 2.0671 +2025-05-31 23:57:38,745 - pyskl - INFO - Epoch [87][1000/2353] lr: 9.538e-03, eta: 18:19:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 2.0318, loss: 2.0318 +2025-05-31 23:58:23,041 - pyskl - INFO - Epoch [87][1100/2353] lr: 9.527e-03, eta: 18:19:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 2.0436, loss: 2.0436 +2025-05-31 23:59:07,500 - pyskl - INFO - Epoch [87][1200/2353] lr: 9.516e-03, eta: 18:18:30, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 2.1046, loss: 2.1046 +2025-05-31 23:59:51,960 - pyskl - INFO - Epoch [87][1300/2353] lr: 9.505e-03, eta: 18:17:46, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 2.0592, loss: 2.0592 +2025-06-01 00:00:36,266 - pyskl - INFO - Epoch [87][1400/2353] lr: 9.494e-03, eta: 18:17:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9950, loss_cls: 2.1232, loss: 2.1232 +2025-06-01 00:01:20,603 - pyskl - INFO - Epoch [87][1500/2353] lr: 9.483e-03, eta: 18:16:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9894, loss_cls: 2.1381, loss: 2.1381 +2025-06-01 00:02:04,823 - pyskl - INFO - Epoch [87][1600/2353] lr: 9.473e-03, eta: 18:15:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 2.1178, loss: 2.1178 +2025-06-01 00:02:49,108 - pyskl - INFO - Epoch [87][1700/2353] lr: 9.462e-03, eta: 18:14:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 2.1212, loss: 2.1212 +2025-06-01 00:03:33,347 - pyskl - INFO - Epoch [87][1800/2353] lr: 9.451e-03, eta: 18:14:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9888, loss_cls: 2.1002, loss: 2.1002 +2025-06-01 00:04:17,585 - pyskl - INFO - Epoch [87][1900/2353] lr: 9.440e-03, eta: 18:13:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 2.1045, loss: 2.1045 +2025-06-01 00:05:01,828 - pyskl - INFO - Epoch [87][2000/2353] lr: 9.430e-03, eta: 18:12:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 2.2377, loss: 2.2377 +2025-06-01 00:05:46,113 - pyskl - INFO - Epoch [87][2100/2353] lr: 9.419e-03, eta: 18:11:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9875, loss_cls: 2.1148, loss: 2.1148 +2025-06-01 00:06:30,486 - pyskl - INFO - Epoch [87][2200/2353] lr: 9.408e-03, eta: 18:11:10, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9856, loss_cls: 2.1892, loss: 2.1892 +2025-06-01 00:07:14,908 - pyskl - INFO - Epoch [87][2300/2353] lr: 9.397e-03, eta: 18:10:26, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 2.1646, loss: 2.1646 +2025-06-01 00:07:39,133 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-06-01 00:09:08,070 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 00:09:08,146 - pyskl - INFO - +top1_acc 0.9162 +top5_acc 0.9919 +2025-06-01 00:09:08,149 - pyskl - INFO - Epoch(val) [87][1184] top1_acc: 0.9162, top5_acc: 0.9919 +2025-06-01 00:10:12,346 - pyskl - INFO - Epoch [88][100/2353] lr: 9.381e-03, eta: 18:09:16, time: 0.642, data_time: 0.201, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 1.9908, loss: 1.9908 +2025-06-01 00:10:56,661 - pyskl - INFO - Epoch [88][200/2353] lr: 9.370e-03, eta: 18:08:32, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 2.0678, loss: 2.0678 +2025-06-01 00:11:40,923 - pyskl - INFO - Epoch [88][300/2353] lr: 9.359e-03, eta: 18:07:48, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 1.9994, loss: 1.9994 +2025-06-01 00:12:25,167 - pyskl - INFO - Epoch [88][400/2353] lr: 9.348e-03, eta: 18:07:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 2.0274, loss: 2.0274 +2025-06-01 00:13:09,245 - pyskl - INFO - Epoch [88][500/2353] lr: 9.338e-03, eta: 18:06:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 2.0490, loss: 2.0490 +2025-06-01 00:13:53,306 - pyskl - INFO - Epoch [88][600/2353] lr: 9.327e-03, eta: 18:05:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 1.9792, loss: 1.9792 +2025-06-01 00:14:37,753 - pyskl - INFO - Epoch [88][700/2353] lr: 9.316e-03, eta: 18:04:52, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 2.0081, loss: 2.0081 +2025-06-01 00:15:22,125 - pyskl - INFO - Epoch [88][800/2353] lr: 9.305e-03, eta: 18:04:08, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 2.1057, loss: 2.1057 +2025-06-01 00:16:06,530 - pyskl - INFO - Epoch [88][900/2353] lr: 9.295e-03, eta: 18:03:24, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9931, loss_cls: 2.2134, loss: 2.2134 +2025-06-01 00:16:50,894 - pyskl - INFO - Epoch [88][1000/2353] lr: 9.284e-03, eta: 18:02:40, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 2.0485, loss: 2.0485 +2025-06-01 00:17:35,228 - pyskl - INFO - Epoch [88][1100/2353] lr: 9.273e-03, eta: 18:01:56, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 2.0360, loss: 2.0360 +2025-06-01 00:18:19,469 - pyskl - INFO - Epoch [88][1200/2353] lr: 9.262e-03, eta: 18:01:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9919, loss_cls: 2.0115, loss: 2.0115 +2025-06-01 00:19:03,642 - pyskl - INFO - Epoch [88][1300/2353] lr: 9.252e-03, eta: 18:00:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 2.0058, loss: 2.0058 +2025-06-01 00:19:47,790 - pyskl - INFO - Epoch [88][1400/2353] lr: 9.241e-03, eta: 17:59:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9906, loss_cls: 2.0466, loss: 2.0466 +2025-06-01 00:20:31,864 - pyskl - INFO - Epoch [88][1500/2353] lr: 9.230e-03, eta: 17:59:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 2.0399, loss: 2.0399 +2025-06-01 00:21:15,941 - pyskl - INFO - Epoch [88][1600/2353] lr: 9.219e-03, eta: 17:58:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 2.0275, loss: 2.0275 +2025-06-01 00:21:59,917 - pyskl - INFO - Epoch [88][1700/2353] lr: 9.209e-03, eta: 17:57:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 1.9906, loss: 1.9906 +2025-06-01 00:22:43,973 - pyskl - INFO - Epoch [88][1800/2353] lr: 9.198e-03, eta: 17:56:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 2.0910, loss: 2.0910 +2025-06-01 00:23:28,138 - pyskl - INFO - Epoch [88][1900/2353] lr: 9.187e-03, eta: 17:56:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9925, loss_cls: 2.1945, loss: 2.1945 +2025-06-01 00:24:12,444 - pyskl - INFO - Epoch [88][2000/2353] lr: 9.176e-03, eta: 17:55:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 2.0872, loss: 2.0872 +2025-06-01 00:24:56,740 - pyskl - INFO - Epoch [88][2100/2353] lr: 9.166e-03, eta: 17:54:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 2.1077, loss: 2.1077 +2025-06-01 00:25:41,060 - pyskl - INFO - Epoch [88][2200/2353] lr: 9.155e-03, eta: 17:53:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9925, loss_cls: 2.1935, loss: 2.1935 +2025-06-01 00:26:25,486 - pyskl - INFO - Epoch [88][2300/2353] lr: 9.144e-03, eta: 17:53:07, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 2.0497, loss: 2.0497 +2025-06-01 00:26:49,486 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-06-01 00:28:18,621 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 00:28:18,696 - pyskl - INFO - +top1_acc 0.9181 +top5_acc 0.9924 +2025-06-01 00:28:18,699 - pyskl - INFO - Epoch(val) [88][1184] top1_acc: 0.9181, top5_acc: 0.9924 +2025-06-01 00:29:22,740 - pyskl - INFO - Epoch [89][100/2353] lr: 9.128e-03, eta: 17:51:58, time: 0.640, data_time: 0.200, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9925, loss_cls: 1.9573, loss: 1.9573 +2025-06-01 00:30:06,766 - pyskl - INFO - Epoch [89][200/2353] lr: 9.117e-03, eta: 17:51:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 2.0144, loss: 2.0144 +2025-06-01 00:30:50,760 - pyskl - INFO - Epoch [89][300/2353] lr: 9.106e-03, eta: 17:50:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 2.0072, loss: 2.0072 +2025-06-01 00:31:34,866 - pyskl - INFO - Epoch [89][400/2353] lr: 9.096e-03, eta: 17:49:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 1.9521, loss: 1.9521 +2025-06-01 00:32:19,024 - pyskl - INFO - Epoch [89][500/2353] lr: 9.085e-03, eta: 17:49:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9906, loss_cls: 1.9992, loss: 1.9992 +2025-06-01 00:33:03,226 - pyskl - INFO - Epoch [89][600/2353] lr: 9.074e-03, eta: 17:48:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 2.0785, loss: 2.0785 +2025-06-01 00:33:47,370 - pyskl - INFO - Epoch [89][700/2353] lr: 9.064e-03, eta: 17:47:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9938, loss_cls: 2.1162, loss: 2.1162 +2025-06-01 00:34:31,553 - pyskl - INFO - Epoch [89][800/2353] lr: 9.053e-03, eta: 17:46:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 2.0192, loss: 2.0192 +2025-06-01 00:35:15,785 - pyskl - INFO - Epoch [89][900/2353] lr: 9.042e-03, eta: 17:46:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 2.0597, loss: 2.0597 +2025-06-01 00:35:59,936 - pyskl - INFO - Epoch [89][1000/2353] lr: 9.032e-03, eta: 17:45:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9894, loss_cls: 2.0293, loss: 2.0293 +2025-06-01 00:36:44,012 - pyskl - INFO - Epoch [89][1100/2353] lr: 9.021e-03, eta: 17:44:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 1.9323, loss: 1.9323 +2025-06-01 00:37:28,117 - pyskl - INFO - Epoch [89][1200/2353] lr: 9.010e-03, eta: 17:43:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 1.8994, loss: 1.8994 +2025-06-01 00:38:12,119 - pyskl - INFO - Epoch [89][1300/2353] lr: 9.000e-03, eta: 17:43:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 2.0892, loss: 2.0892 +2025-06-01 00:38:56,188 - pyskl - INFO - Epoch [89][1400/2353] lr: 8.989e-03, eta: 17:42:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9906, loss_cls: 1.9780, loss: 1.9780 +2025-06-01 00:39:40,257 - pyskl - INFO - Epoch [89][1500/2353] lr: 8.978e-03, eta: 17:41:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 2.0712, loss: 2.0712 +2025-06-01 00:40:24,413 - pyskl - INFO - Epoch [89][1600/2353] lr: 8.967e-03, eta: 17:40:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 2.0024, loss: 2.0024 +2025-06-01 00:41:08,620 - pyskl - INFO - Epoch [89][1700/2353] lr: 8.957e-03, eta: 17:40:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 1.9861, loss: 1.9861 +2025-06-01 00:41:52,745 - pyskl - INFO - Epoch [89][1800/2353] lr: 8.946e-03, eta: 17:39:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 2.0689, loss: 2.0689 +2025-06-01 00:42:37,016 - pyskl - INFO - Epoch [89][1900/2353] lr: 8.935e-03, eta: 17:38:43, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9950, loss_cls: 2.0056, loss: 2.0056 +2025-06-01 00:43:21,185 - pyskl - INFO - Epoch [89][2000/2353] lr: 8.925e-03, eta: 17:37:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 1.9537, loss: 1.9537 +2025-06-01 00:44:05,521 - pyskl - INFO - Epoch [89][2100/2353] lr: 8.914e-03, eta: 17:37:15, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.0121, loss: 2.0121 +2025-06-01 00:44:49,707 - pyskl - INFO - Epoch [89][2200/2353] lr: 8.904e-03, eta: 17:36:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 2.0283, loss: 2.0283 +2025-06-01 00:45:33,929 - pyskl - INFO - Epoch [89][2300/2353] lr: 8.893e-03, eta: 17:35:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 2.1513, loss: 2.1513 +2025-06-01 00:45:57,868 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-06-01 00:47:27,231 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 00:47:27,308 - pyskl - INFO - +top1_acc 0.9206 +top5_acc 0.9919 +2025-06-01 00:47:27,311 - pyskl - INFO - Epoch(val) [89][1184] top1_acc: 0.9206, top5_acc: 0.9919 +2025-06-01 00:48:31,449 - pyskl - INFO - Epoch [90][100/2353] lr: 8.877e-03, eta: 17:34:37, time: 0.641, data_time: 0.200, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 1.9763, loss: 1.9763 +2025-06-01 00:49:15,604 - pyskl - INFO - Epoch [90][200/2353] lr: 8.866e-03, eta: 17:33:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 1.9575, loss: 1.9575 +2025-06-01 00:49:59,756 - pyskl - INFO - Epoch [90][300/2353] lr: 8.855e-03, eta: 17:33:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 2.0002, loss: 2.0002 +2025-06-01 00:50:44,274 - pyskl - INFO - Epoch [90][400/2353] lr: 8.845e-03, eta: 17:32:25, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 1.9997, loss: 1.9997 +2025-06-01 00:51:28,669 - pyskl - INFO - Epoch [90][500/2353] lr: 8.834e-03, eta: 17:31:42, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 2.0939, loss: 2.0939 +2025-06-01 00:52:12,990 - pyskl - INFO - Epoch [90][600/2353] lr: 8.823e-03, eta: 17:30:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 2.0455, loss: 2.0455 +2025-06-01 00:52:57,292 - pyskl - INFO - Epoch [90][700/2353] lr: 8.813e-03, eta: 17:30:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 1.9575, loss: 1.9575 +2025-06-01 00:53:41,596 - pyskl - INFO - Epoch [90][800/2353] lr: 8.802e-03, eta: 17:29:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9944, loss_cls: 2.0985, loss: 2.0985 +2025-06-01 00:54:25,927 - pyskl - INFO - Epoch [90][900/2353] lr: 8.791e-03, eta: 17:28:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 2.0844, loss: 2.0844 +2025-06-01 00:55:10,186 - pyskl - INFO - Epoch [90][1000/2353] lr: 8.781e-03, eta: 17:28:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 2.1193, loss: 2.1193 +2025-06-01 00:55:54,338 - pyskl - INFO - Epoch [90][1100/2353] lr: 8.770e-03, eta: 17:27:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9938, loss_cls: 2.0643, loss: 2.0643 +2025-06-01 00:56:38,560 - pyskl - INFO - Epoch [90][1200/2353] lr: 8.760e-03, eta: 17:26:33, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 1.9798, loss: 1.9798 +2025-06-01 00:57:22,740 - pyskl - INFO - Epoch [90][1300/2353] lr: 8.749e-03, eta: 17:25:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9894, loss_cls: 2.0307, loss: 2.0307 +2025-06-01 00:58:06,959 - pyskl - INFO - Epoch [90][1400/2353] lr: 8.738e-03, eta: 17:25:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9906, loss_cls: 2.0242, loss: 2.0242 +2025-06-01 00:58:51,014 - pyskl - INFO - Epoch [90][1500/2353] lr: 8.728e-03, eta: 17:24:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 2.0955, loss: 2.0955 +2025-06-01 00:59:35,274 - pyskl - INFO - Epoch [90][1600/2353] lr: 8.717e-03, eta: 17:23:37, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 2.0467, loss: 2.0467 +2025-06-01 01:00:19,457 - pyskl - INFO - Epoch [90][1700/2353] lr: 8.707e-03, eta: 17:22:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9956, loss_cls: 2.0164, loss: 2.0164 +2025-06-01 01:01:03,463 - pyskl - INFO - Epoch [90][1800/2353] lr: 8.696e-03, eta: 17:22:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 2.0070, loss: 2.0070 +2025-06-01 01:01:47,698 - pyskl - INFO - Epoch [90][1900/2353] lr: 8.685e-03, eta: 17:21:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 2.0038, loss: 2.0038 +2025-06-01 01:02:31,917 - pyskl - INFO - Epoch [90][2000/2353] lr: 8.675e-03, eta: 17:20:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 2.0941, loss: 2.0941 +2025-06-01 01:03:16,160 - pyskl - INFO - Epoch [90][2100/2353] lr: 8.664e-03, eta: 17:19:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 2.1613, loss: 2.1613 +2025-06-01 01:04:00,283 - pyskl - INFO - Epoch [90][2200/2353] lr: 8.654e-03, eta: 17:19:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9881, loss_cls: 2.0471, loss: 2.0471 +2025-06-01 01:04:44,460 - pyskl - INFO - Epoch [90][2300/2353] lr: 8.643e-03, eta: 17:18:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9962, loss_cls: 1.9900, loss: 1.9900 +2025-06-01 01:05:08,490 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-06-01 01:14:19,071 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 01:14:19,147 - pyskl - INFO - +top1_acc 0.8907 +top5_acc 0.9883 +2025-06-01 01:14:19,150 - pyskl - INFO - Epoch(val) [90][1184] top1_acc: 0.8907, top5_acc: 0.9883 +2025-06-01 01:15:23,293 - pyskl - INFO - Epoch [91][100/2353] lr: 8.627e-03, eta: 17:17:19, time: 0.641, data_time: 0.201, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 1.9312, loss: 1.9312 +2025-06-01 01:16:07,439 - pyskl - INFO - Epoch [91][200/2353] lr: 8.616e-03, eta: 17:16:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 2.0093, loss: 2.0093 +2025-06-01 01:16:51,555 - pyskl - INFO - Epoch [91][300/2353] lr: 8.606e-03, eta: 17:15:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 1.9823, loss: 1.9823 +2025-06-01 01:17:35,752 - pyskl - INFO - Epoch [91][400/2353] lr: 8.595e-03, eta: 17:15:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 1.9938, loss: 1.9938 +2025-06-01 01:18:20,003 - pyskl - INFO - Epoch [91][500/2353] lr: 8.585e-03, eta: 17:14:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 1.9890, loss: 1.9890 +2025-06-01 01:19:04,197 - pyskl - INFO - Epoch [91][600/2353] lr: 8.574e-03, eta: 17:13:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.0017, loss: 2.0017 +2025-06-01 01:19:48,428 - pyskl - INFO - Epoch [91][700/2353] lr: 8.563e-03, eta: 17:12:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 1.9070, loss: 1.9070 +2025-06-01 01:20:32,597 - pyskl - INFO - Epoch [91][800/2353] lr: 8.553e-03, eta: 17:12:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9950, loss_cls: 1.9348, loss: 1.9348 +2025-06-01 01:21:16,836 - pyskl - INFO - Epoch [91][900/2353] lr: 8.542e-03, eta: 17:11:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 2.0499, loss: 2.0499 +2025-06-01 01:22:01,034 - pyskl - INFO - Epoch [91][1000/2353] lr: 8.532e-03, eta: 17:10:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 1.9785, loss: 1.9785 +2025-06-01 01:22:45,192 - pyskl - INFO - Epoch [91][1100/2353] lr: 8.521e-03, eta: 17:09:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 2.1022, loss: 2.1022 +2025-06-01 01:23:29,452 - pyskl - INFO - Epoch [91][1200/2353] lr: 8.511e-03, eta: 17:09:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9900, loss_cls: 2.0633, loss: 2.0633 +2025-06-01 01:24:13,635 - pyskl - INFO - Epoch [91][1300/2353] lr: 8.500e-03, eta: 17:08:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 1.9951, loss: 1.9951 +2025-06-01 01:24:57,886 - pyskl - INFO - Epoch [91][1400/2353] lr: 8.490e-03, eta: 17:07:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 2.0684, loss: 2.0684 +2025-06-01 01:25:42,015 - pyskl - INFO - Epoch [91][1500/2353] lr: 8.479e-03, eta: 17:07:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 2.0828, loss: 2.0828 +2025-06-01 01:26:26,249 - pyskl - INFO - Epoch [91][1600/2353] lr: 8.468e-03, eta: 17:06:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 2.0412, loss: 2.0412 +2025-06-01 01:27:10,604 - pyskl - INFO - Epoch [91][1700/2353] lr: 8.458e-03, eta: 17:05:34, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9950, loss_cls: 2.0795, loss: 2.0795 +2025-06-01 01:27:54,875 - pyskl - INFO - Epoch [91][1800/2353] lr: 8.447e-03, eta: 17:04:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 1.9438, loss: 1.9438 +2025-06-01 01:28:39,106 - pyskl - INFO - Epoch [91][1900/2353] lr: 8.437e-03, eta: 17:04:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 2.1026, loss: 2.1026 +2025-06-01 01:29:23,289 - pyskl - INFO - Epoch [91][2000/2353] lr: 8.426e-03, eta: 17:03:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 1.9805, loss: 1.9805 +2025-06-01 01:30:07,506 - pyskl - INFO - Epoch [91][2100/2353] lr: 8.416e-03, eta: 17:02:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9950, loss_cls: 2.0507, loss: 2.0507 +2025-06-01 01:30:51,808 - pyskl - INFO - Epoch [91][2200/2353] lr: 8.405e-03, eta: 17:01:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 2.0603, loss: 2.0603 +2025-06-01 01:31:36,058 - pyskl - INFO - Epoch [91][2300/2353] lr: 8.395e-03, eta: 17:01:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 2.0875, loss: 2.0875 +2025-06-01 01:32:00,183 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-06-01 01:33:29,084 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 01:33:29,160 - pyskl - INFO - +top1_acc 0.9249 +top5_acc 0.9929 +2025-06-01 01:33:29,232 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_79.pth was removed +2025-06-01 01:33:30,300 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. +2025-06-01 01:33:30,301 - pyskl - INFO - Best top1_acc is 0.9249 at 91 epoch. +2025-06-01 01:33:30,304 - pyskl - INFO - Epoch(val) [91][1184] top1_acc: 0.9249, top5_acc: 0.9929 +2025-06-01 01:34:34,270 - pyskl - INFO - Epoch [92][100/2353] lr: 8.379e-03, eta: 17:00:00, time: 0.640, data_time: 0.198, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9925, loss_cls: 1.8697, loss: 1.8697 +2025-06-01 01:35:18,433 - pyskl - INFO - Epoch [92][200/2353] lr: 8.368e-03, eta: 16:59:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 1.8602, loss: 1.8602 +2025-06-01 01:36:02,567 - pyskl - INFO - Epoch [92][300/2353] lr: 8.358e-03, eta: 16:58:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 1.9154, loss: 1.9154 +2025-06-01 01:36:46,736 - pyskl - INFO - Epoch [92][400/2353] lr: 8.347e-03, eta: 16:57:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 1.9244, loss: 1.9244 +2025-06-01 01:37:30,974 - pyskl - INFO - Epoch [92][500/2353] lr: 8.337e-03, eta: 16:57:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9944, loss_cls: 2.0238, loss: 2.0238 +2025-06-01 01:38:15,213 - pyskl - INFO - Epoch [92][600/2353] lr: 8.326e-03, eta: 16:56:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 1.9215, loss: 1.9215 +2025-06-01 01:38:59,427 - pyskl - INFO - Epoch [92][700/2353] lr: 8.316e-03, eta: 16:55:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 1.9812, loss: 1.9812 +2025-06-01 01:39:43,653 - pyskl - INFO - Epoch [92][800/2353] lr: 8.305e-03, eta: 16:54:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 1.8982, loss: 1.8982 +2025-06-01 01:40:27,957 - pyskl - INFO - Epoch [92][900/2353] lr: 8.295e-03, eta: 16:54:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 1.9187, loss: 1.9187 +2025-06-01 01:41:12,368 - pyskl - INFO - Epoch [92][1000/2353] lr: 8.284e-03, eta: 16:53:24, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 1.9569, loss: 1.9569 +2025-06-01 01:41:56,629 - pyskl - INFO - Epoch [92][1100/2353] lr: 8.274e-03, eta: 16:52:39, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 1.9688, loss: 1.9688 +2025-06-01 01:42:40,845 - pyskl - INFO - Epoch [92][1200/2353] lr: 8.263e-03, eta: 16:51:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9912, loss_cls: 1.9427, loss: 1.9427 +2025-06-01 01:43:25,094 - pyskl - INFO - Epoch [92][1300/2353] lr: 8.253e-03, eta: 16:51:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 1.9901, loss: 1.9901 +2025-06-01 01:44:09,357 - pyskl - INFO - Epoch [92][1400/2353] lr: 8.242e-03, eta: 16:50:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 1.9577, loss: 1.9577 +2025-06-01 01:44:53,580 - pyskl - INFO - Epoch [92][1500/2353] lr: 8.232e-03, eta: 16:49:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 2.0502, loss: 2.0502 +2025-06-01 01:45:37,840 - pyskl - INFO - Epoch [92][1600/2353] lr: 8.222e-03, eta: 16:48:59, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 1.9939, loss: 1.9939 +2025-06-01 01:46:22,214 - pyskl - INFO - Epoch [92][1700/2353] lr: 8.211e-03, eta: 16:48:15, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9881, loss_cls: 2.1246, loss: 2.1246 +2025-06-01 01:47:06,569 - pyskl - INFO - Epoch [92][1800/2353] lr: 8.201e-03, eta: 16:47:31, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9950, loss_cls: 2.0389, loss: 2.0389 +2025-06-01 01:47:50,931 - pyskl - INFO - Epoch [92][1900/2353] lr: 8.190e-03, eta: 16:46:47, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 2.0176, loss: 2.0176 +2025-06-01 01:48:35,268 - pyskl - INFO - Epoch [92][2000/2353] lr: 8.180e-03, eta: 16:46:03, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 2.1202, loss: 2.1202 +2025-06-01 01:49:19,637 - pyskl - INFO - Epoch [92][2100/2353] lr: 8.169e-03, eta: 16:45:19, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 2.0423, loss: 2.0423 +2025-06-01 01:50:04,030 - pyskl - INFO - Epoch [92][2200/2353] lr: 8.159e-03, eta: 16:44:36, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9912, loss_cls: 1.9598, loss: 1.9598 +2025-06-01 01:50:48,349 - pyskl - INFO - Epoch [92][2300/2353] lr: 8.148e-03, eta: 16:43:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9950, loss_cls: 2.0659, loss: 2.0659 +2025-06-01 01:51:12,286 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-06-01 01:52:41,362 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 01:52:41,437 - pyskl - INFO - +top1_acc 0.9184 +top5_acc 0.9934 +2025-06-01 01:52:41,441 - pyskl - INFO - Epoch(val) [92][1184] top1_acc: 0.9184, top5_acc: 0.9934 +2025-06-01 01:53:45,285 - pyskl - INFO - Epoch [93][100/2353] lr: 8.133e-03, eta: 16:42:42, time: 0.638, data_time: 0.199, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9919, loss_cls: 1.8955, loss: 1.8955 +2025-06-01 01:54:29,265 - pyskl - INFO - Epoch [93][200/2353] lr: 8.122e-03, eta: 16:41:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 1.9073, loss: 1.9073 +2025-06-01 01:55:13,261 - pyskl - INFO - Epoch [93][300/2353] lr: 8.112e-03, eta: 16:41:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 1.8770, loss: 1.8770 +2025-06-01 01:55:57,276 - pyskl - INFO - Epoch [93][400/2353] lr: 8.101e-03, eta: 16:40:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 1.9045, loss: 1.9045 +2025-06-01 01:56:41,513 - pyskl - INFO - Epoch [93][500/2353] lr: 8.091e-03, eta: 16:39:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 1.8776, loss: 1.8776 +2025-06-01 01:57:25,646 - pyskl - INFO - Epoch [93][600/2353] lr: 8.080e-03, eta: 16:39:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 1.9357, loss: 1.9357 +2025-06-01 01:58:09,661 - pyskl - INFO - Epoch [93][700/2353] lr: 8.070e-03, eta: 16:38:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 1.9340, loss: 1.9340 +2025-06-01 01:58:53,692 - pyskl - INFO - Epoch [93][800/2353] lr: 8.060e-03, eta: 16:37:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 1.9849, loss: 1.9849 +2025-06-01 01:59:37,637 - pyskl - INFO - Epoch [93][900/2353] lr: 8.049e-03, eta: 16:36:48, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 1.9914, loss: 1.9914 +2025-06-01 02:00:21,558 - pyskl - INFO - Epoch [93][1000/2353] lr: 8.039e-03, eta: 16:36:04, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 1.9261, loss: 1.9261 +2025-06-01 02:01:05,374 - pyskl - INFO - Epoch [93][1100/2353] lr: 8.028e-03, eta: 16:35:20, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 2.0550, loss: 2.0550 +2025-06-01 02:01:49,216 - pyskl - INFO - Epoch [93][1200/2353] lr: 8.018e-03, eta: 16:34:36, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 2.0382, loss: 2.0382 +2025-06-01 02:02:33,095 - pyskl - INFO - Epoch [93][1300/2353] lr: 8.008e-03, eta: 16:33:51, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 1.9440, loss: 1.9440 +2025-06-01 02:03:16,946 - pyskl - INFO - Epoch [93][1400/2353] lr: 7.997e-03, eta: 16:33:07, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 1.9660, loss: 1.9660 +2025-06-01 02:04:00,803 - pyskl - INFO - Epoch [93][1500/2353] lr: 7.987e-03, eta: 16:32:23, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 2.0521, loss: 2.0521 +2025-06-01 02:04:44,717 - pyskl - INFO - Epoch [93][1600/2353] lr: 7.977e-03, eta: 16:31:39, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 2.1045, loss: 2.1045 +2025-06-01 02:05:28,618 - pyskl - INFO - Epoch [93][1700/2353] lr: 7.966e-03, eta: 16:30:54, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9962, loss_cls: 2.0230, loss: 2.0230 +2025-06-01 02:06:12,507 - pyskl - INFO - Epoch [93][1800/2353] lr: 7.956e-03, eta: 16:30:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9962, loss_cls: 1.9601, loss: 1.9601 +2025-06-01 02:06:56,431 - pyskl - INFO - Epoch [93][1900/2353] lr: 7.945e-03, eta: 16:29:26, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 2.0310, loss: 2.0310 +2025-06-01 02:07:40,384 - pyskl - INFO - Epoch [93][2000/2353] lr: 7.935e-03, eta: 16:28:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9969, loss_cls: 2.0219, loss: 2.0219 +2025-06-01 02:08:24,276 - pyskl - INFO - Epoch [93][2100/2353] lr: 7.925e-03, eta: 16:27:57, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 1.9782, loss: 1.9782 +2025-06-01 02:09:08,152 - pyskl - INFO - Epoch [93][2200/2353] lr: 7.914e-03, eta: 16:27:13, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 2.0975, loss: 2.0975 +2025-06-01 02:09:52,039 - pyskl - INFO - Epoch [93][2300/2353] lr: 7.904e-03, eta: 16:26:29, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 1.9961, loss: 1.9961 +2025-06-01 02:10:15,906 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-06-01 02:11:44,671 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 02:11:44,746 - pyskl - INFO - +top1_acc 0.9124 +top5_acc 0.9923 +2025-06-01 02:11:44,749 - pyskl - INFO - Epoch(val) [93][1184] top1_acc: 0.9124, top5_acc: 0.9923 +2025-06-01 02:12:48,542 - pyskl - INFO - Epoch [94][100/2353] lr: 7.888e-03, eta: 16:25:19, time: 0.638, data_time: 0.196, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 1.8140, loss: 1.8140 +2025-06-01 02:13:32,873 - pyskl - INFO - Epoch [94][200/2353] lr: 7.878e-03, eta: 16:24:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 1.9120, loss: 1.9120 +2025-06-01 02:14:17,036 - pyskl - INFO - Epoch [94][300/2353] lr: 7.868e-03, eta: 16:23:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 1.8771, loss: 1.8771 +2025-06-01 02:15:01,276 - pyskl - INFO - Epoch [94][400/2353] lr: 7.857e-03, eta: 16:23:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 1.8357, loss: 1.8357 +2025-06-01 02:15:45,448 - pyskl - INFO - Epoch [94][500/2353] lr: 7.847e-03, eta: 16:22:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 1.8861, loss: 1.8861 +2025-06-01 02:16:29,696 - pyskl - INFO - Epoch [94][600/2353] lr: 7.837e-03, eta: 16:21:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 1.8636, loss: 1.8636 +2025-06-01 02:17:13,921 - pyskl - INFO - Epoch [94][700/2353] lr: 7.826e-03, eta: 16:20:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 1.9259, loss: 1.9259 +2025-06-01 02:17:58,144 - pyskl - INFO - Epoch [94][800/2353] lr: 7.816e-03, eta: 16:20:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 1.9273, loss: 1.9273 +2025-06-01 02:18:42,307 - pyskl - INFO - Epoch [94][900/2353] lr: 7.806e-03, eta: 16:19:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 1.8971, loss: 1.8971 +2025-06-01 02:19:26,519 - pyskl - INFO - Epoch [94][1000/2353] lr: 7.795e-03, eta: 16:18:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9912, loss_cls: 1.9186, loss: 1.9186 +2025-06-01 02:20:10,690 - pyskl - INFO - Epoch [94][1100/2353] lr: 7.785e-03, eta: 16:17:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 2.0157, loss: 2.0157 +2025-06-01 02:20:54,873 - pyskl - INFO - Epoch [94][1200/2353] lr: 7.775e-03, eta: 16:17:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 1.9605, loss: 1.9605 +2025-06-01 02:21:39,048 - pyskl - INFO - Epoch [94][1300/2353] lr: 7.764e-03, eta: 16:16:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 1.9572, loss: 1.9572 +2025-06-01 02:22:23,217 - pyskl - INFO - Epoch [94][1400/2353] lr: 7.754e-03, eta: 16:15:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 1.9247, loss: 1.9247 +2025-06-01 02:23:07,542 - pyskl - INFO - Epoch [94][1500/2353] lr: 7.744e-03, eta: 16:15:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 1.9355, loss: 1.9355 +2025-06-01 02:23:51,868 - pyskl - INFO - Epoch [94][1600/2353] lr: 7.734e-03, eta: 16:14:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 1.9216, loss: 1.9216 +2025-06-01 02:24:36,196 - pyskl - INFO - Epoch [94][1700/2353] lr: 7.723e-03, eta: 16:13:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 2.0043, loss: 2.0043 +2025-06-01 02:25:20,340 - pyskl - INFO - Epoch [94][1800/2353] lr: 7.713e-03, eta: 16:12:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 1.9860, loss: 1.9860 +2025-06-01 02:26:04,475 - pyskl - INFO - Epoch [94][1900/2353] lr: 7.703e-03, eta: 16:12:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 1.8934, loss: 1.8934 +2025-06-01 02:26:48,621 - pyskl - INFO - Epoch [94][2000/2353] lr: 7.692e-03, eta: 16:11:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 1.9363, loss: 1.9363 +2025-06-01 02:27:32,801 - pyskl - INFO - Epoch [94][2100/2353] lr: 7.682e-03, eta: 16:10:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 1.9550, loss: 1.9550 +2025-06-01 02:28:17,018 - pyskl - INFO - Epoch [94][2200/2353] lr: 7.672e-03, eta: 16:09:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 1.9438, loss: 1.9438 +2025-06-01 02:29:01,251 - pyskl - INFO - Epoch [94][2300/2353] lr: 7.662e-03, eta: 16:09:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 1.9147, loss: 1.9147 +2025-06-01 02:29:25,234 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-06-01 02:30:54,465 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 02:30:54,540 - pyskl - INFO - +top1_acc 0.9318 +top5_acc 0.9931 +2025-06-01 02:30:54,598 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_91.pth was removed +2025-06-01 02:30:55,690 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. +2025-06-01 02:30:55,691 - pyskl - INFO - Best top1_acc is 0.9318 at 94 epoch. +2025-06-01 02:30:55,694 - pyskl - INFO - Epoch(val) [94][1184] top1_acc: 0.9318, top5_acc: 0.9931 +2025-06-01 02:31:59,953 - pyskl - INFO - Epoch [95][100/2353] lr: 7.646e-03, eta: 16:08:01, time: 0.643, data_time: 0.201, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 1.8444, loss: 1.8444 +2025-06-01 02:32:44,022 - pyskl - INFO - Epoch [95][200/2353] lr: 7.636e-03, eta: 16:07:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 1.8365, loss: 1.8365 +2025-06-01 02:33:28,112 - pyskl - INFO - Epoch [95][300/2353] lr: 7.625e-03, eta: 16:06:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 1.9330, loss: 1.9330 +2025-06-01 02:34:12,171 - pyskl - INFO - Epoch [95][400/2353] lr: 7.615e-03, eta: 16:05:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9919, loss_cls: 1.9259, loss: 1.9259 +2025-06-01 02:34:56,345 - pyskl - INFO - Epoch [95][500/2353] lr: 7.605e-03, eta: 16:05:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 1.8905, loss: 1.8905 +2025-06-01 02:35:40,504 - pyskl - INFO - Epoch [95][600/2353] lr: 7.595e-03, eta: 16:04:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9919, loss_cls: 1.8836, loss: 1.8836 +2025-06-01 02:36:24,669 - pyskl - INFO - Epoch [95][700/2353] lr: 7.584e-03, eta: 16:03:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 1.9170, loss: 1.9170 +2025-06-01 02:37:08,515 - pyskl - INFO - Epoch [95][800/2353] lr: 7.574e-03, eta: 16:02:52, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 1.8820, loss: 1.8820 +2025-06-01 02:37:52,361 - pyskl - INFO - Epoch [95][900/2353] lr: 7.564e-03, eta: 16:02:07, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9925, loss_cls: 1.9026, loss: 1.9026 +2025-06-01 02:38:36,524 - pyskl - INFO - Epoch [95][1000/2353] lr: 7.554e-03, eta: 16:01:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 1.9046, loss: 1.9046 +2025-06-01 02:39:20,641 - pyskl - INFO - Epoch [95][1100/2353] lr: 7.544e-03, eta: 16:00:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 1.9044, loss: 1.9044 +2025-06-01 02:40:04,653 - pyskl - INFO - Epoch [95][1200/2353] lr: 7.533e-03, eta: 15:59:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 1.8989, loss: 1.8989 +2025-06-01 02:40:48,765 - pyskl - INFO - Epoch [95][1300/2353] lr: 7.523e-03, eta: 15:59:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 1.8823, loss: 1.8823 +2025-06-01 02:41:33,040 - pyskl - INFO - Epoch [95][1400/2353] lr: 7.513e-03, eta: 15:58:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 1.9810, loss: 1.9810 +2025-06-01 02:42:17,289 - pyskl - INFO - Epoch [95][1500/2353] lr: 7.503e-03, eta: 15:57:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9925, loss_cls: 1.8977, loss: 1.8977 +2025-06-01 02:43:01,303 - pyskl - INFO - Epoch [95][1600/2353] lr: 7.493e-03, eta: 15:56:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 1.9338, loss: 1.9338 +2025-06-01 02:43:45,342 - pyskl - INFO - Epoch [95][1700/2353] lr: 7.482e-03, eta: 15:56:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 1.9984, loss: 1.9984 +2025-06-01 02:44:29,361 - pyskl - INFO - Epoch [95][1800/2353] lr: 7.472e-03, eta: 15:55:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 1.8284, loss: 1.8284 +2025-06-01 02:45:13,336 - pyskl - INFO - Epoch [95][1900/2353] lr: 7.462e-03, eta: 15:54:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 1.9218, loss: 1.9218 +2025-06-01 02:45:57,365 - pyskl - INFO - Epoch [95][2000/2353] lr: 7.452e-03, eta: 15:54:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 1.9734, loss: 1.9734 +2025-06-01 02:46:41,442 - pyskl - INFO - Epoch [95][2100/2353] lr: 7.442e-03, eta: 15:53:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 1.9477, loss: 1.9477 +2025-06-01 02:47:25,473 - pyskl - INFO - Epoch [95][2200/2353] lr: 7.431e-03, eta: 15:52:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 1.9608, loss: 1.9608 +2025-06-01 02:48:09,488 - pyskl - INFO - Epoch [95][2300/2353] lr: 7.421e-03, eta: 15:51:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 1.9505, loss: 1.9505 +2025-06-01 02:48:33,410 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-06-01 02:57:03,822 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 02:57:03,897 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9918 +2025-06-01 02:57:03,901 - pyskl - INFO - Epoch(val) [95][1184] top1_acc: 0.9175, top5_acc: 0.9918 +2025-06-01 02:58:08,449 - pyskl - INFO - Epoch [96][100/2353] lr: 7.406e-03, eta: 15:50:40, time: 0.645, data_time: 0.201, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 1.9600, loss: 1.9600 +2025-06-01 02:58:52,641 - pyskl - INFO - Epoch [96][200/2353] lr: 7.396e-03, eta: 15:49:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 1.7964, loss: 1.7964 +2025-06-01 02:59:36,885 - pyskl - INFO - Epoch [96][300/2353] lr: 7.385e-03, eta: 15:49:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 1.8374, loss: 1.8374 +2025-06-01 03:00:21,013 - pyskl - INFO - Epoch [96][400/2353] lr: 7.375e-03, eta: 15:48:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 1.8087, loss: 1.8087 +2025-06-01 03:01:05,194 - pyskl - INFO - Epoch [96][500/2353] lr: 7.365e-03, eta: 15:47:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 1.8395, loss: 1.8395 +2025-06-01 03:01:49,356 - pyskl - INFO - Epoch [96][600/2353] lr: 7.355e-03, eta: 15:47:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 1.8566, loss: 1.8566 +2025-06-01 03:02:33,488 - pyskl - INFO - Epoch [96][700/2353] lr: 7.345e-03, eta: 15:46:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9981, loss_cls: 1.8516, loss: 1.8516 +2025-06-01 03:03:17,557 - pyskl - INFO - Epoch [96][800/2353] lr: 7.335e-03, eta: 15:45:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 1.7976, loss: 1.7976 +2025-06-01 03:04:01,704 - pyskl - INFO - Epoch [96][900/2353] lr: 7.325e-03, eta: 15:44:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 1.8143, loss: 1.8143 +2025-06-01 03:04:45,848 - pyskl - INFO - Epoch [96][1000/2353] lr: 7.314e-03, eta: 15:44:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 2.0060, loss: 2.0060 +2025-06-01 03:05:30,022 - pyskl - INFO - Epoch [96][1100/2353] lr: 7.304e-03, eta: 15:43:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 1.8936, loss: 1.8936 +2025-06-01 03:06:14,193 - pyskl - INFO - Epoch [96][1200/2353] lr: 7.294e-03, eta: 15:42:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9950, loss_cls: 1.9757, loss: 1.9757 +2025-06-01 03:06:58,304 - pyskl - INFO - Epoch [96][1300/2353] lr: 7.284e-03, eta: 15:41:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9906, loss_cls: 1.9105, loss: 1.9105 +2025-06-01 03:07:42,465 - pyskl - INFO - Epoch [96][1400/2353] lr: 7.274e-03, eta: 15:41:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 1.8880, loss: 1.8880 +2025-06-01 03:08:26,626 - pyskl - INFO - Epoch [96][1500/2353] lr: 7.264e-03, eta: 15:40:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9894, loss_cls: 1.9268, loss: 1.9268 +2025-06-01 03:09:10,816 - pyskl - INFO - Epoch [96][1600/2353] lr: 7.254e-03, eta: 15:39:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9912, loss_cls: 1.9021, loss: 1.9021 +2025-06-01 03:09:54,955 - pyskl - INFO - Epoch [96][1700/2353] lr: 7.244e-03, eta: 15:38:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 1.8324, loss: 1.8324 +2025-06-01 03:10:39,061 - pyskl - INFO - Epoch [96][1800/2353] lr: 7.234e-03, eta: 15:38:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 1.9807, loss: 1.9807 +2025-06-01 03:11:23,395 - pyskl - INFO - Epoch [96][1900/2353] lr: 7.224e-03, eta: 15:37:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9894, loss_cls: 2.0033, loss: 2.0033 +2025-06-01 03:12:07,856 - pyskl - INFO - Epoch [96][2000/2353] lr: 7.213e-03, eta: 15:36:43, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9962, loss_cls: 1.9733, loss: 1.9733 +2025-06-01 03:12:52,302 - pyskl - INFO - Epoch [96][2100/2353] lr: 7.203e-03, eta: 15:35:59, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 1.9465, loss: 1.9465 +2025-06-01 03:13:36,814 - pyskl - INFO - Epoch [96][2200/2353] lr: 7.193e-03, eta: 15:35:15, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 2.0164, loss: 2.0164 +2025-06-01 03:14:21,102 - pyskl - INFO - Epoch [96][2300/2353] lr: 7.183e-03, eta: 15:34:31, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 1.8419, loss: 1.8419 +2025-06-01 03:14:45,143 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-06-01 03:16:14,471 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 03:16:14,546 - pyskl - INFO - +top1_acc 0.9187 +top5_acc 0.9919 +2025-06-01 03:16:14,549 - pyskl - INFO - Epoch(val) [96][1184] top1_acc: 0.9187, top5_acc: 0.9919 +2025-06-01 03:17:19,121 - pyskl - INFO - Epoch [97][100/2353] lr: 7.168e-03, eta: 15:33:22, time: 0.646, data_time: 0.199, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 1.8656, loss: 1.8656 +2025-06-01 03:18:03,521 - pyskl - INFO - Epoch [97][200/2353] lr: 7.158e-03, eta: 15:32:38, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 1.8213, loss: 1.8213 +2025-06-01 03:18:47,634 - pyskl - INFO - Epoch [97][300/2353] lr: 7.148e-03, eta: 15:31:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 1.7870, loss: 1.7870 +2025-06-01 03:19:31,789 - pyskl - INFO - Epoch [97][400/2353] lr: 7.138e-03, eta: 15:31:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 1.8060, loss: 1.8060 +2025-06-01 03:20:16,029 - pyskl - INFO - Epoch [97][500/2353] lr: 7.128e-03, eta: 15:30:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9969, loss_cls: 1.8975, loss: 1.8975 +2025-06-01 03:21:00,057 - pyskl - INFO - Epoch [97][600/2353] lr: 7.118e-03, eta: 15:29:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9931, loss_cls: 1.8785, loss: 1.8785 +2025-06-01 03:21:44,130 - pyskl - INFO - Epoch [97][700/2353] lr: 7.107e-03, eta: 15:28:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 1.9297, loss: 1.9297 +2025-06-01 03:22:28,210 - pyskl - INFO - Epoch [97][800/2353] lr: 7.097e-03, eta: 15:28:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 1.9362, loss: 1.9362 +2025-06-01 03:23:12,216 - pyskl - INFO - Epoch [97][900/2353] lr: 7.087e-03, eta: 15:27:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9975, loss_cls: 1.8739, loss: 1.8739 +2025-06-01 03:23:56,232 - pyskl - INFO - Epoch [97][1000/2353] lr: 7.077e-03, eta: 15:26:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 1.8482, loss: 1.8482 +2025-06-01 03:24:40,303 - pyskl - INFO - Epoch [97][1100/2353] lr: 7.067e-03, eta: 15:26:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 1.8289, loss: 1.8289 +2025-06-01 03:25:24,375 - pyskl - INFO - Epoch [97][1200/2353] lr: 7.057e-03, eta: 15:25:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 1.9125, loss: 1.9125 +2025-06-01 03:26:08,348 - pyskl - INFO - Epoch [97][1300/2353] lr: 7.047e-03, eta: 15:24:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9931, loss_cls: 1.8680, loss: 1.8680 +2025-06-01 03:26:52,786 - pyskl - INFO - Epoch [97][1400/2353] lr: 7.037e-03, eta: 15:23:49, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 1.8911, loss: 1.8911 +2025-06-01 03:27:37,048 - pyskl - INFO - Epoch [97][1500/2353] lr: 7.027e-03, eta: 15:23:05, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 1.8530, loss: 1.8530 +2025-06-01 03:28:21,385 - pyskl - INFO - Epoch [97][1600/2353] lr: 7.017e-03, eta: 15:22:21, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 1.8499, loss: 1.8499 +2025-06-01 03:29:05,446 - pyskl - INFO - Epoch [97][1700/2353] lr: 7.007e-03, eta: 15:21:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 1.8404, loss: 1.8404 +2025-06-01 03:29:49,431 - pyskl - INFO - Epoch [97][1800/2353] lr: 6.997e-03, eta: 15:20:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 1.9018, loss: 1.9018 +2025-06-01 03:30:33,459 - pyskl - INFO - Epoch [97][1900/2353] lr: 6.987e-03, eta: 15:20:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 1.9239, loss: 1.9239 +2025-06-01 03:31:17,436 - pyskl - INFO - Epoch [97][2000/2353] lr: 6.977e-03, eta: 15:19:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9906, loss_cls: 1.9087, loss: 1.9087 +2025-06-01 03:32:01,367 - pyskl - INFO - Epoch [97][2100/2353] lr: 6.967e-03, eta: 15:18:40, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 1.9059, loss: 1.9059 +2025-06-01 03:32:45,297 - pyskl - INFO - Epoch [97][2200/2353] lr: 6.957e-03, eta: 15:17:56, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 1.9313, loss: 1.9313 +2025-06-01 03:33:29,236 - pyskl - INFO - Epoch [97][2300/2353] lr: 6.947e-03, eta: 15:17:11, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 2.0728, loss: 2.0728 +2025-06-01 03:33:53,066 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-06-01 03:35:21,972 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 03:35:22,052 - pyskl - INFO - +top1_acc 0.9177 +top5_acc 0.9928 +2025-06-01 03:35:22,055 - pyskl - INFO - Epoch(val) [97][1184] top1_acc: 0.9177, top5_acc: 0.9928 +2025-06-01 03:36:26,587 - pyskl - INFO - Epoch [98][100/2353] lr: 6.932e-03, eta: 15:16:02, time: 0.645, data_time: 0.200, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 1.7850, loss: 1.7850 +2025-06-01 03:37:10,683 - pyskl - INFO - Epoch [98][200/2353] lr: 6.922e-03, eta: 15:15:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 1.8776, loss: 1.8776 +2025-06-01 03:37:54,726 - pyskl - INFO - Epoch [98][300/2353] lr: 6.912e-03, eta: 15:14:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9975, loss_cls: 1.9143, loss: 1.9143 +2025-06-01 03:38:38,857 - pyskl - INFO - Epoch [98][400/2353] lr: 6.902e-03, eta: 15:13:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 1.8575, loss: 1.8575 +2025-06-01 03:39:22,886 - pyskl - INFO - Epoch [98][500/2353] lr: 6.892e-03, eta: 15:13:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 1.8862, loss: 1.8862 +2025-06-01 03:40:06,737 - pyskl - INFO - Epoch [98][600/2353] lr: 6.882e-03, eta: 15:12:22, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 1.7673, loss: 1.7673 +2025-06-01 03:40:50,548 - pyskl - INFO - Epoch [98][700/2353] lr: 6.873e-03, eta: 15:11:37, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 1.7884, loss: 1.7884 +2025-06-01 03:41:34,351 - pyskl - INFO - Epoch [98][800/2353] lr: 6.863e-03, eta: 15:10:53, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 1.8380, loss: 1.8380 +2025-06-01 03:42:18,095 - pyskl - INFO - Epoch [98][900/2353] lr: 6.853e-03, eta: 15:10:09, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 1.8531, loss: 1.8531 +2025-06-01 03:43:01,810 - pyskl - INFO - Epoch [98][1000/2353] lr: 6.843e-03, eta: 15:09:24, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 1.7682, loss: 1.7682 +2025-06-01 03:43:45,586 - pyskl - INFO - Epoch [98][1100/2353] lr: 6.833e-03, eta: 15:08:40, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 1.9271, loss: 1.9271 +2025-06-01 03:44:29,456 - pyskl - INFO - Epoch [98][1200/2353] lr: 6.823e-03, eta: 15:07:56, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 1.8480, loss: 1.8480 +2025-06-01 03:45:13,445 - pyskl - INFO - Epoch [98][1300/2353] lr: 6.813e-03, eta: 15:07:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 1.9560, loss: 1.9560 +2025-06-01 03:45:57,407 - pyskl - INFO - Epoch [98][1400/2353] lr: 6.803e-03, eta: 15:06:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9906, loss_cls: 1.9026, loss: 1.9026 +2025-06-01 03:46:41,387 - pyskl - INFO - Epoch [98][1500/2353] lr: 6.793e-03, eta: 15:05:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9912, loss_cls: 1.9899, loss: 1.9899 +2025-06-01 03:47:25,341 - pyskl - INFO - Epoch [98][1600/2353] lr: 6.783e-03, eta: 15:04:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 1.8962, loss: 1.8962 +2025-06-01 03:48:09,498 - pyskl - INFO - Epoch [98][1700/2353] lr: 6.773e-03, eta: 15:04:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 1.9100, loss: 1.9100 +2025-06-01 03:48:53,532 - pyskl - INFO - Epoch [98][1800/2353] lr: 6.763e-03, eta: 15:03:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 1.7962, loss: 1.7962 +2025-06-01 03:49:37,687 - pyskl - INFO - Epoch [98][1900/2353] lr: 6.754e-03, eta: 15:02:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 1.8402, loss: 1.8402 +2025-06-01 03:50:21,581 - pyskl - INFO - Epoch [98][2000/2353] lr: 6.744e-03, eta: 15:02:03, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 1.8012, loss: 1.8012 +2025-06-01 03:51:05,453 - pyskl - INFO - Epoch [98][2100/2353] lr: 6.734e-03, eta: 15:01:18, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 1.8526, loss: 1.8526 +2025-06-01 03:51:49,282 - pyskl - INFO - Epoch [98][2200/2353] lr: 6.724e-03, eta: 15:00:34, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 1.8690, loss: 1.8690 +2025-06-01 03:52:33,227 - pyskl - INFO - Epoch [98][2300/2353] lr: 6.714e-03, eta: 14:59:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 1.8854, loss: 1.8854 +2025-06-01 03:52:57,177 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-06-01 03:54:26,549 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 03:54:26,624 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9926 +2025-06-01 03:54:26,627 - pyskl - INFO - Epoch(val) [98][1184] top1_acc: 0.9175, top5_acc: 0.9926 +2025-06-01 03:55:30,743 - pyskl - INFO - Epoch [99][100/2353] lr: 6.699e-03, eta: 14:58:41, time: 0.641, data_time: 0.200, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 1.8841, loss: 1.8841 +2025-06-01 03:56:14,756 - pyskl - INFO - Epoch [99][200/2353] lr: 6.689e-03, eta: 14:57:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 1.7948, loss: 1.7948 +2025-06-01 03:56:58,725 - pyskl - INFO - Epoch [99][300/2353] lr: 6.679e-03, eta: 14:57:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 1.7737, loss: 1.7737 +2025-06-01 03:57:42,704 - pyskl - INFO - Epoch [99][400/2353] lr: 6.669e-03, eta: 14:56:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 1.8518, loss: 1.8518 +2025-06-01 03:58:26,667 - pyskl - INFO - Epoch [99][500/2353] lr: 6.660e-03, eta: 14:55:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 1.8056, loss: 1.8056 +2025-06-01 03:59:10,617 - pyskl - INFO - Epoch [99][600/2353] lr: 6.650e-03, eta: 14:55:00, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 1.8126, loss: 1.8126 +2025-06-01 03:59:54,922 - pyskl - INFO - Epoch [99][700/2353] lr: 6.640e-03, eta: 14:54:16, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 1.8543, loss: 1.8543 +2025-06-01 04:00:39,023 - pyskl - INFO - Epoch [99][800/2353] lr: 6.630e-03, eta: 14:53:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9975, loss_cls: 1.8309, loss: 1.8309 +2025-06-01 04:01:23,023 - pyskl - INFO - Epoch [99][900/2353] lr: 6.620e-03, eta: 14:52:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 1.7922, loss: 1.7922 +2025-06-01 04:02:07,096 - pyskl - INFO - Epoch [99][1000/2353] lr: 6.611e-03, eta: 14:52:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 1.8678, loss: 1.8678 +2025-06-01 04:02:51,324 - pyskl - INFO - Epoch [99][1100/2353] lr: 6.601e-03, eta: 14:51:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 1.7974, loss: 1.7974 +2025-06-01 04:03:35,396 - pyskl - INFO - Epoch [99][1200/2353] lr: 6.591e-03, eta: 14:50:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 1.8773, loss: 1.8773 +2025-06-01 04:04:19,757 - pyskl - INFO - Epoch [99][1300/2353] lr: 6.581e-03, eta: 14:49:51, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 1.8239, loss: 1.8239 +2025-06-01 04:05:03,965 - pyskl - INFO - Epoch [99][1400/2353] lr: 6.571e-03, eta: 14:49:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 1.8699, loss: 1.8699 +2025-06-01 04:05:48,109 - pyskl - INFO - Epoch [99][1500/2353] lr: 6.562e-03, eta: 14:48:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 1.8379, loss: 1.8379 +2025-06-01 04:06:32,181 - pyskl - INFO - Epoch [99][1600/2353] lr: 6.552e-03, eta: 14:47:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 1.8887, loss: 1.8887 +2025-06-01 04:07:16,161 - pyskl - INFO - Epoch [99][1700/2353] lr: 6.542e-03, eta: 14:46:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9906, loss_cls: 1.8442, loss: 1.8442 +2025-06-01 04:08:00,185 - pyskl - INFO - Epoch [99][1800/2353] lr: 6.532e-03, eta: 14:46:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 1.8324, loss: 1.8324 +2025-06-01 04:08:44,229 - pyskl - INFO - Epoch [99][1900/2353] lr: 6.522e-03, eta: 14:45:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 1.9088, loss: 1.9088 +2025-06-01 04:09:28,237 - pyskl - INFO - Epoch [99][2000/2353] lr: 6.513e-03, eta: 14:44:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9969, loss_cls: 1.8632, loss: 1.8632 +2025-06-01 04:10:12,257 - pyskl - INFO - Epoch [99][2100/2353] lr: 6.503e-03, eta: 14:43:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 1.8467, loss: 1.8467 +2025-06-01 04:10:56,267 - pyskl - INFO - Epoch [99][2200/2353] lr: 6.493e-03, eta: 14:43:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9919, loss_cls: 1.8773, loss: 1.8773 +2025-06-01 04:11:40,393 - pyskl - INFO - Epoch [99][2300/2353] lr: 6.483e-03, eta: 14:42:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 1.8957, loss: 1.8957 +2025-06-01 04:12:04,381 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-06-01 04:13:33,288 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 04:13:33,363 - pyskl - INFO - +top1_acc 0.9215 +top5_acc 0.9924 +2025-06-01 04:13:33,367 - pyskl - INFO - Epoch(val) [99][1184] top1_acc: 0.9215, top5_acc: 0.9924 +2025-06-01 04:14:38,301 - pyskl - INFO - Epoch [100][100/2353] lr: 6.468e-03, eta: 14:41:21, time: 0.649, data_time: 0.207, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 1.7863, loss: 1.7863 +2025-06-01 04:15:22,545 - pyskl - INFO - Epoch [100][200/2353] lr: 6.459e-03, eta: 14:40:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 1.8206, loss: 1.8206 +2025-06-01 04:16:06,779 - pyskl - INFO - Epoch [100][300/2353] lr: 6.449e-03, eta: 14:39:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 1.8011, loss: 1.8011 +2025-06-01 04:16:51,007 - pyskl - INFO - Epoch [100][400/2353] lr: 6.439e-03, eta: 14:39:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 1.7786, loss: 1.7786 +2025-06-01 04:17:35,341 - pyskl - INFO - Epoch [100][500/2353] lr: 6.429e-03, eta: 14:38:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 1.7788, loss: 1.7788 +2025-06-01 04:18:19,533 - pyskl - INFO - Epoch [100][600/2353] lr: 6.420e-03, eta: 14:37:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 1.7459, loss: 1.7459 +2025-06-01 04:19:03,769 - pyskl - INFO - Epoch [100][700/2353] lr: 6.410e-03, eta: 14:36:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 1.7930, loss: 1.7930 +2025-06-01 04:19:47,924 - pyskl - INFO - Epoch [100][800/2353] lr: 6.400e-03, eta: 14:36:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9944, loss_cls: 1.7633, loss: 1.7633 +2025-06-01 04:20:32,090 - pyskl - INFO - Epoch [100][900/2353] lr: 6.391e-03, eta: 14:35:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 1.8295, loss: 1.8295 +2025-06-01 04:21:16,494 - pyskl - INFO - Epoch [100][1000/2353] lr: 6.381e-03, eta: 14:34:45, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 1.7338, loss: 1.7338 +2025-06-01 04:22:01,305 - pyskl - INFO - Epoch [100][1100/2353] lr: 6.371e-03, eta: 14:34:01, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 1.7565, loss: 1.7565 +2025-06-01 04:22:45,840 - pyskl - INFO - Epoch [100][1200/2353] lr: 6.362e-03, eta: 14:33:17, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 1.8212, loss: 1.8212 +2025-06-01 04:23:30,150 - pyskl - INFO - Epoch [100][1300/2353] lr: 6.352e-03, eta: 14:32:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 1.8147, loss: 1.8147 +2025-06-01 04:24:14,364 - pyskl - INFO - Epoch [100][1400/2353] lr: 6.342e-03, eta: 14:31:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 1.8169, loss: 1.8169 +2025-06-01 04:24:58,599 - pyskl - INFO - Epoch [100][1500/2353] lr: 6.332e-03, eta: 14:31:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 1.7993, loss: 1.7993 +2025-06-01 04:25:42,699 - pyskl - INFO - Epoch [100][1600/2353] lr: 6.323e-03, eta: 14:30:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 1.7883, loss: 1.7883 +2025-06-01 04:26:26,760 - pyskl - INFO - Epoch [100][1700/2353] lr: 6.313e-03, eta: 14:29:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 1.8632, loss: 1.8632 +2025-06-01 04:27:10,764 - pyskl - INFO - Epoch [100][1800/2353] lr: 6.303e-03, eta: 14:28:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 1.9592, loss: 1.9592 +2025-06-01 04:27:55,003 - pyskl - INFO - Epoch [100][1900/2353] lr: 6.294e-03, eta: 14:28:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 1.8770, loss: 1.8770 +2025-06-01 04:28:39,266 - pyskl - INFO - Epoch [100][2000/2353] lr: 6.284e-03, eta: 14:27:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 1.7383, loss: 1.7383 +2025-06-01 04:29:23,431 - pyskl - INFO - Epoch [100][2100/2353] lr: 6.274e-03, eta: 14:26:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 1.8306, loss: 1.8306 +2025-06-01 04:30:07,804 - pyskl - INFO - Epoch [100][2200/2353] lr: 6.265e-03, eta: 14:25:57, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 1.8865, loss: 1.8865 +2025-06-01 04:30:52,179 - pyskl - INFO - Epoch [100][2300/2353] lr: 6.255e-03, eta: 14:25:13, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9906, loss_cls: 1.8924, loss: 1.8924 +2025-06-01 04:31:16,434 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-06-01 04:39:45,574 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 04:39:45,653 - pyskl - INFO - +top1_acc 0.9391 +top5_acc 0.9944 +2025-06-01 04:39:45,705 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_94.pth was removed +2025-06-01 04:39:46,723 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_100.pth. +2025-06-01 04:39:46,724 - pyskl - INFO - Best top1_acc is 0.9391 at 100 epoch. +2025-06-01 04:39:46,727 - pyskl - INFO - Epoch(val) [100][1184] top1_acc: 0.9391, top5_acc: 0.9944 +2025-06-01 04:40:51,165 - pyskl - INFO - Epoch [101][100/2353] lr: 6.240e-03, eta: 14:24:04, time: 0.644, data_time: 0.204, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 1.7419, loss: 1.7419 +2025-06-01 04:41:35,345 - pyskl - INFO - Epoch [101][200/2353] lr: 6.231e-03, eta: 14:23:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 1.7525, loss: 1.7525 +2025-06-01 04:42:19,535 - pyskl - INFO - Epoch [101][300/2353] lr: 6.221e-03, eta: 14:22:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 1.7266, loss: 1.7266 +2025-06-01 04:43:03,688 - pyskl - INFO - Epoch [101][400/2353] lr: 6.212e-03, eta: 14:21:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9938, loss_cls: 1.7340, loss: 1.7340 +2025-06-01 04:43:47,888 - pyskl - INFO - Epoch [101][500/2353] lr: 6.202e-03, eta: 14:21:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 1.7272, loss: 1.7272 +2025-06-01 04:44:32,028 - pyskl - INFO - Epoch [101][600/2353] lr: 6.192e-03, eta: 14:20:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 1.7483, loss: 1.7483 +2025-06-01 04:45:16,199 - pyskl - INFO - Epoch [101][700/2353] lr: 6.183e-03, eta: 14:19:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 1.8069, loss: 1.8069 +2025-06-01 04:46:00,313 - pyskl - INFO - Epoch [101][800/2353] lr: 6.173e-03, eta: 14:18:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 1.7590, loss: 1.7590 +2025-06-01 04:46:44,432 - pyskl - INFO - Epoch [101][900/2353] lr: 6.164e-03, eta: 14:18:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9919, loss_cls: 1.8757, loss: 1.8757 +2025-06-01 04:47:28,605 - pyskl - INFO - Epoch [101][1000/2353] lr: 6.154e-03, eta: 14:17:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 1.7412, loss: 1.7412 +2025-06-01 04:48:12,785 - pyskl - INFO - Epoch [101][1100/2353] lr: 6.144e-03, eta: 14:16:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 1.8815, loss: 1.8815 +2025-06-01 04:48:57,040 - pyskl - INFO - Epoch [101][1200/2353] lr: 6.135e-03, eta: 14:15:59, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 1.7348, loss: 1.7348 +2025-06-01 04:49:41,280 - pyskl - INFO - Epoch [101][1300/2353] lr: 6.125e-03, eta: 14:15:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 1.8184, loss: 1.8184 +2025-06-01 04:50:25,515 - pyskl - INFO - Epoch [101][1400/2353] lr: 6.116e-03, eta: 14:14:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 1.8203, loss: 1.8203 +2025-06-01 04:51:09,786 - pyskl - INFO - Epoch [101][1500/2353] lr: 6.106e-03, eta: 14:13:47, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 1.8486, loss: 1.8486 +2025-06-01 04:51:53,988 - pyskl - INFO - Epoch [101][1600/2353] lr: 6.097e-03, eta: 14:13:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 1.8311, loss: 1.8311 +2025-06-01 04:52:38,236 - pyskl - INFO - Epoch [101][1700/2353] lr: 6.087e-03, eta: 14:12:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 1.7871, loss: 1.7871 +2025-06-01 04:53:22,521 - pyskl - INFO - Epoch [101][1800/2353] lr: 6.077e-03, eta: 14:11:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 1.8863, loss: 1.8863 +2025-06-01 04:54:06,737 - pyskl - INFO - Epoch [101][1900/2353] lr: 6.068e-03, eta: 14:10:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 1.8112, loss: 1.8112 +2025-06-01 04:54:50,998 - pyskl - INFO - Epoch [101][2000/2353] lr: 6.058e-03, eta: 14:10:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9938, loss_cls: 1.8011, loss: 1.8011 +2025-06-01 04:55:35,059 - pyskl - INFO - Epoch [101][2100/2353] lr: 6.049e-03, eta: 14:09:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 1.7839, loss: 1.7839 +2025-06-01 04:56:19,125 - pyskl - INFO - Epoch [101][2200/2353] lr: 6.039e-03, eta: 14:08:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 1.7280, loss: 1.7280 +2025-06-01 04:57:03,250 - pyskl - INFO - Epoch [101][2300/2353] lr: 6.030e-03, eta: 14:07:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 1.8415, loss: 1.8415 +2025-06-01 04:57:27,201 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-06-01 04:58:56,234 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 04:58:56,310 - pyskl - INFO - +top1_acc 0.9221 +top5_acc 0.9930 +2025-06-01 04:58:56,313 - pyskl - INFO - Epoch(val) [101][1184] top1_acc: 0.9221, top5_acc: 0.9930 +2025-06-01 05:00:00,716 - pyskl - INFO - Epoch [102][100/2353] lr: 6.015e-03, eta: 14:06:45, time: 0.644, data_time: 0.202, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 1.7559, loss: 1.7559 +2025-06-01 05:00:45,084 - pyskl - INFO - Epoch [102][200/2353] lr: 6.006e-03, eta: 14:06:01, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 1.7487, loss: 1.7487 +2025-06-01 05:01:29,466 - pyskl - INFO - Epoch [102][300/2353] lr: 5.996e-03, eta: 14:05:17, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 1.7708, loss: 1.7708 +2025-06-01 05:02:13,815 - pyskl - INFO - Epoch [102][400/2353] lr: 5.987e-03, eta: 14:04:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 1.7868, loss: 1.7868 +2025-06-01 05:02:58,164 - pyskl - INFO - Epoch [102][500/2353] lr: 5.977e-03, eta: 14:03:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 1.6942, loss: 1.6942 +2025-06-01 05:03:42,504 - pyskl - INFO - Epoch [102][600/2353] lr: 5.968e-03, eta: 14:03:05, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9981, loss_cls: 1.7715, loss: 1.7715 +2025-06-01 05:04:26,800 - pyskl - INFO - Epoch [102][700/2353] lr: 5.958e-03, eta: 14:02:21, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 1.7377, loss: 1.7377 +2025-06-01 05:05:11,344 - pyskl - INFO - Epoch [102][800/2353] lr: 5.949e-03, eta: 14:01:38, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 1.7715, loss: 1.7715 +2025-06-01 05:05:55,784 - pyskl - INFO - Epoch [102][900/2353] lr: 5.939e-03, eta: 14:00:54, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9950, loss_cls: 1.7478, loss: 1.7478 +2025-06-01 05:06:40,145 - pyskl - INFO - Epoch [102][1000/2353] lr: 5.930e-03, eta: 14:00:10, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 1.6193, loss: 1.6193 +2025-06-01 05:07:24,545 - pyskl - INFO - Epoch [102][1100/2353] lr: 5.920e-03, eta: 13:59:26, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 1.7894, loss: 1.7894 +2025-06-01 05:08:08,850 - pyskl - INFO - Epoch [102][1200/2353] lr: 5.911e-03, eta: 13:58:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 1.8707, loss: 1.8707 +2025-06-01 05:08:53,182 - pyskl - INFO - Epoch [102][1300/2353] lr: 5.901e-03, eta: 13:57:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 1.7650, loss: 1.7650 +2025-06-01 05:09:37,482 - pyskl - INFO - Epoch [102][1400/2353] lr: 5.892e-03, eta: 13:57:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 1.7967, loss: 1.7967 +2025-06-01 05:10:21,770 - pyskl - INFO - Epoch [102][1500/2353] lr: 5.883e-03, eta: 13:56:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 1.7954, loss: 1.7954 +2025-06-01 05:11:06,064 - pyskl - INFO - Epoch [102][1600/2353] lr: 5.873e-03, eta: 13:55:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 1.8842, loss: 1.8842 +2025-06-01 05:11:50,265 - pyskl - INFO - Epoch [102][1700/2353] lr: 5.864e-03, eta: 13:55:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 1.7812, loss: 1.7812 +2025-06-01 05:12:34,511 - pyskl - INFO - Epoch [102][1800/2353] lr: 5.854e-03, eta: 13:54:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 1.7220, loss: 1.7220 +2025-06-01 05:13:18,752 - pyskl - INFO - Epoch [102][1900/2353] lr: 5.845e-03, eta: 13:53:33, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 1.7696, loss: 1.7696 +2025-06-01 05:14:03,036 - pyskl - INFO - Epoch [102][2000/2353] lr: 5.835e-03, eta: 13:52:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 1.8471, loss: 1.8471 +2025-06-01 05:14:47,320 - pyskl - INFO - Epoch [102][2100/2353] lr: 5.826e-03, eta: 13:52:05, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 1.9061, loss: 1.9061 +2025-06-01 05:15:31,656 - pyskl - INFO - Epoch [102][2200/2353] lr: 5.817e-03, eta: 13:51:21, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 1.8443, loss: 1.8443 +2025-06-01 05:16:15,980 - pyskl - INFO - Epoch [102][2300/2353] lr: 5.807e-03, eta: 13:50:37, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 1.8029, loss: 1.8029 +2025-06-01 05:16:39,978 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-06-01 05:18:09,443 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 05:18:09,518 - pyskl - INFO - +top1_acc 0.9293 +top5_acc 0.9933 +2025-06-01 05:18:09,521 - pyskl - INFO - Epoch(val) [102][1184] top1_acc: 0.9293, top5_acc: 0.9933 +2025-06-01 05:19:13,347 - pyskl - INFO - Epoch [103][100/2353] lr: 5.793e-03, eta: 13:49:28, time: 0.638, data_time: 0.196, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 1.6734, loss: 1.6734 +2025-06-01 05:19:57,620 - pyskl - INFO - Epoch [103][200/2353] lr: 5.783e-03, eta: 13:48:44, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 1.6629, loss: 1.6629 +2025-06-01 05:20:41,850 - pyskl - INFO - Epoch [103][300/2353] lr: 5.774e-03, eta: 13:48:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 1.6645, loss: 1.6645 +2025-06-01 05:21:26,114 - pyskl - INFO - Epoch [103][400/2353] lr: 5.765e-03, eta: 13:47:16, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 1.6840, loss: 1.6840 +2025-06-01 05:22:10,300 - pyskl - INFO - Epoch [103][500/2353] lr: 5.755e-03, eta: 13:46:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 1.6161, loss: 1.6161 +2025-06-01 05:22:54,450 - pyskl - INFO - Epoch [103][600/2353] lr: 5.746e-03, eta: 13:45:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9975, loss_cls: 1.7266, loss: 1.7266 +2025-06-01 05:23:38,577 - pyskl - INFO - Epoch [103][700/2353] lr: 5.737e-03, eta: 13:45:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 1.7306, loss: 1.7306 +2025-06-01 05:24:22,809 - pyskl - INFO - Epoch [103][800/2353] lr: 5.727e-03, eta: 13:44:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 1.7652, loss: 1.7652 +2025-06-01 05:25:07,058 - pyskl - INFO - Epoch [103][900/2353] lr: 5.718e-03, eta: 13:43:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 1.6813, loss: 1.6813 +2025-06-01 05:25:51,313 - pyskl - INFO - Epoch [103][1000/2353] lr: 5.709e-03, eta: 13:42:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 1.7722, loss: 1.7722 +2025-06-01 05:26:35,597 - pyskl - INFO - Epoch [103][1100/2353] lr: 5.699e-03, eta: 13:42:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 1.6478, loss: 1.6478 +2025-06-01 05:27:20,015 - pyskl - INFO - Epoch [103][1200/2353] lr: 5.690e-03, eta: 13:41:24, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 1.7674, loss: 1.7674 +2025-06-01 05:28:04,472 - pyskl - INFO - Epoch [103][1300/2353] lr: 5.681e-03, eta: 13:40:40, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 1.7444, loss: 1.7444 +2025-06-01 05:28:48,815 - pyskl - INFO - Epoch [103][1400/2353] lr: 5.671e-03, eta: 13:39:56, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 1.7856, loss: 1.7856 +2025-06-01 05:29:33,087 - pyskl - INFO - Epoch [103][1500/2353] lr: 5.662e-03, eta: 13:39:12, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 1.8291, loss: 1.8291 +2025-06-01 05:30:17,384 - pyskl - INFO - Epoch [103][1600/2353] lr: 5.653e-03, eta: 13:38:28, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 1.7629, loss: 1.7629 +2025-06-01 05:31:01,624 - pyskl - INFO - Epoch [103][1700/2353] lr: 5.643e-03, eta: 13:37:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 1.7828, loss: 1.7828 +2025-06-01 05:31:45,831 - pyskl - INFO - Epoch [103][1800/2353] lr: 5.634e-03, eta: 13:37:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 1.8238, loss: 1.8238 +2025-06-01 05:32:30,048 - pyskl - INFO - Epoch [103][1900/2353] lr: 5.625e-03, eta: 13:36:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9969, loss_cls: 1.8014, loss: 1.8014 +2025-06-01 05:33:14,197 - pyskl - INFO - Epoch [103][2000/2353] lr: 5.615e-03, eta: 13:35:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 1.7724, loss: 1.7724 +2025-06-01 05:33:58,538 - pyskl - INFO - Epoch [103][2100/2353] lr: 5.606e-03, eta: 13:34:48, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 1.8500, loss: 1.8500 +2025-06-01 05:34:42,721 - pyskl - INFO - Epoch [103][2200/2353] lr: 5.597e-03, eta: 13:34:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 1.8257, loss: 1.8257 +2025-06-01 05:35:26,989 - pyskl - INFO - Epoch [103][2300/2353] lr: 5.588e-03, eta: 13:33:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 1.7919, loss: 1.7919 +2025-06-01 05:35:51,030 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-06-01 05:37:20,234 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 05:37:20,309 - pyskl - INFO - +top1_acc 0.9361 +top5_acc 0.9940 +2025-06-01 05:37:20,313 - pyskl - INFO - Epoch(val) [103][1184] top1_acc: 0.9361, top5_acc: 0.9940 +2025-06-01 05:38:24,321 - pyskl - INFO - Epoch [104][100/2353] lr: 5.573e-03, eta: 13:32:10, time: 0.640, data_time: 0.198, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 1.6803, loss: 1.6803 +2025-06-01 05:39:08,398 - pyskl - INFO - Epoch [104][200/2353] lr: 5.564e-03, eta: 13:31:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.6527, loss: 1.6527 +2025-06-01 05:39:52,493 - pyskl - INFO - Epoch [104][300/2353] lr: 5.555e-03, eta: 13:30:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 1.6269, loss: 1.6269 +2025-06-01 05:40:36,667 - pyskl - INFO - Epoch [104][400/2353] lr: 5.546e-03, eta: 13:29:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9938, loss_cls: 1.7205, loss: 1.7205 +2025-06-01 05:41:20,768 - pyskl - INFO - Epoch [104][500/2353] lr: 5.536e-03, eta: 13:29:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9931, loss_cls: 1.7524, loss: 1.7524 +2025-06-01 05:42:04,897 - pyskl - INFO - Epoch [104][600/2353] lr: 5.527e-03, eta: 13:28:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 1.6997, loss: 1.6997 +2025-06-01 05:42:48,996 - pyskl - INFO - Epoch [104][700/2353] lr: 5.518e-03, eta: 13:27:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 1.7942, loss: 1.7942 +2025-06-01 05:43:33,093 - pyskl - INFO - Epoch [104][800/2353] lr: 5.509e-03, eta: 13:27:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 1.7134, loss: 1.7134 +2025-06-01 05:44:17,228 - pyskl - INFO - Epoch [104][900/2353] lr: 5.500e-03, eta: 13:26:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 1.7453, loss: 1.7453 +2025-06-01 05:45:01,249 - pyskl - INFO - Epoch [104][1000/2353] lr: 5.490e-03, eta: 13:25:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 1.7278, loss: 1.7278 +2025-06-01 05:45:45,340 - pyskl - INFO - Epoch [104][1100/2353] lr: 5.481e-03, eta: 13:24:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 1.7360, loss: 1.7360 +2025-06-01 05:46:29,448 - pyskl - INFO - Epoch [104][1200/2353] lr: 5.472e-03, eta: 13:24:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 1.7548, loss: 1.7548 +2025-06-01 05:47:13,554 - pyskl - INFO - Epoch [104][1300/2353] lr: 5.463e-03, eta: 13:23:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 1.7512, loss: 1.7512 +2025-06-01 05:47:57,595 - pyskl - INFO - Epoch [104][1400/2353] lr: 5.453e-03, eta: 13:22:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 1.7349, loss: 1.7349 +2025-06-01 05:48:41,698 - pyskl - INFO - Epoch [104][1500/2353] lr: 5.444e-03, eta: 13:21:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 1.7618, loss: 1.7618 +2025-06-01 05:49:25,828 - pyskl - INFO - Epoch [104][1600/2353] lr: 5.435e-03, eta: 13:21:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 1.8038, loss: 1.8038 +2025-06-01 05:50:09,974 - pyskl - INFO - Epoch [104][1700/2353] lr: 5.426e-03, eta: 13:20:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 1.7747, loss: 1.7747 +2025-06-01 05:50:54,043 - pyskl - INFO - Epoch [104][1800/2353] lr: 5.417e-03, eta: 13:19:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 1.7414, loss: 1.7414 +2025-06-01 05:51:38,205 - pyskl - INFO - Epoch [104][1900/2353] lr: 5.408e-03, eta: 13:18:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 1.7765, loss: 1.7765 +2025-06-01 05:52:22,379 - pyskl - INFO - Epoch [104][2000/2353] lr: 5.398e-03, eta: 13:18:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 1.7565, loss: 1.7565 +2025-06-01 05:53:06,562 - pyskl - INFO - Epoch [104][2100/2353] lr: 5.389e-03, eta: 13:17:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 1.6875, loss: 1.6875 +2025-06-01 05:53:50,686 - pyskl - INFO - Epoch [104][2200/2353] lr: 5.380e-03, eta: 13:16:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 1.7282, loss: 1.7282 +2025-06-01 05:54:34,793 - pyskl - INFO - Epoch [104][2300/2353] lr: 5.371e-03, eta: 13:16:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 1.7142, loss: 1.7142 +2025-06-01 05:54:58,702 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-06-01 05:56:27,943 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 05:56:28,019 - pyskl - INFO - +top1_acc 0.9254 +top5_acc 0.9933 +2025-06-01 05:56:28,022 - pyskl - INFO - Epoch(val) [104][1184] top1_acc: 0.9254, top5_acc: 0.9933 +2025-06-01 05:57:32,433 - pyskl - INFO - Epoch [105][100/2353] lr: 5.357e-03, eta: 13:14:51, time: 0.644, data_time: 0.198, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 1.6067, loss: 1.6067 +2025-06-01 05:58:16,840 - pyskl - INFO - Epoch [105][200/2353] lr: 5.348e-03, eta: 13:14:07, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 1.6856, loss: 1.6856 +2025-06-01 05:59:01,180 - pyskl - INFO - Epoch [105][300/2353] lr: 5.339e-03, eta: 13:13:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 1.6775, loss: 1.6775 +2025-06-01 05:59:45,479 - pyskl - INFO - Epoch [105][400/2353] lr: 5.330e-03, eta: 13:12:39, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 1.7652, loss: 1.7652 +2025-06-01 06:00:29,797 - pyskl - INFO - Epoch [105][500/2353] lr: 5.321e-03, eta: 13:11:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 1.6831, loss: 1.6831 +2025-06-01 06:01:14,145 - pyskl - INFO - Epoch [105][600/2353] lr: 5.311e-03, eta: 13:11:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 1.6484, loss: 1.6484 +2025-06-01 06:01:58,565 - pyskl - INFO - Epoch [105][700/2353] lr: 5.302e-03, eta: 13:10:27, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 1.6699, loss: 1.6699 +2025-06-01 06:02:43,225 - pyskl - INFO - Epoch [105][800/2353] lr: 5.293e-03, eta: 13:09:44, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 1.6375, loss: 1.6375 +2025-06-01 06:03:27,673 - pyskl - INFO - Epoch [105][900/2353] lr: 5.284e-03, eta: 13:09:00, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 1.6702, loss: 1.6702 +2025-06-01 06:04:12,040 - pyskl - INFO - Epoch [105][1000/2353] lr: 5.275e-03, eta: 13:08:16, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 1.6044, loss: 1.6044 +2025-06-01 06:04:56,445 - pyskl - INFO - Epoch [105][1100/2353] lr: 5.266e-03, eta: 13:07:32, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 1.7351, loss: 1.7351 +2025-06-01 06:05:40,772 - pyskl - INFO - Epoch [105][1200/2353] lr: 5.257e-03, eta: 13:06:48, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 1.6749, loss: 1.6749 +2025-06-01 06:06:25,105 - pyskl - INFO - Epoch [105][1300/2353] lr: 5.248e-03, eta: 13:06:04, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 1.7431, loss: 1.7431 +2025-06-01 06:07:09,446 - pyskl - INFO - Epoch [105][1400/2353] lr: 5.239e-03, eta: 13:05:20, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9919, loss_cls: 1.7383, loss: 1.7383 +2025-06-01 06:07:53,796 - pyskl - INFO - Epoch [105][1500/2353] lr: 5.230e-03, eta: 13:04:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9919, loss_cls: 1.7936, loss: 1.7936 +2025-06-01 06:08:38,121 - pyskl - INFO - Epoch [105][1600/2353] lr: 5.221e-03, eta: 13:03:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 1.7246, loss: 1.7246 +2025-06-01 06:09:22,427 - pyskl - INFO - Epoch [105][1700/2353] lr: 5.212e-03, eta: 13:03:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 1.6792, loss: 1.6792 +2025-06-01 06:10:06,822 - pyskl - INFO - Epoch [105][1800/2353] lr: 5.203e-03, eta: 13:02:24, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 1.7575, loss: 1.7575 +2025-06-01 06:10:51,204 - pyskl - INFO - Epoch [105][1900/2353] lr: 5.194e-03, eta: 13:01:40, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 1.7718, loss: 1.7718 +2025-06-01 06:11:35,585 - pyskl - INFO - Epoch [105][2000/2353] lr: 5.185e-03, eta: 13:00:56, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 1.7820, loss: 1.7820 +2025-06-01 06:12:20,199 - pyskl - INFO - Epoch [105][2100/2353] lr: 5.176e-03, eta: 13:00:12, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 1.7275, loss: 1.7275 +2025-06-01 06:13:04,735 - pyskl - INFO - Epoch [105][2200/2353] lr: 5.167e-03, eta: 12:59:28, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 1.7658, loss: 1.7658 +2025-06-01 06:13:49,291 - pyskl - INFO - Epoch [105][2300/2353] lr: 5.158e-03, eta: 12:58:44, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 1.6507, loss: 1.6507 +2025-06-01 06:14:13,422 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-06-01 06:22:49,606 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 06:22:49,682 - pyskl - INFO - +top1_acc 0.9356 +top5_acc 0.9929 +2025-06-01 06:22:49,685 - pyskl - INFO - Epoch(val) [105][1184] top1_acc: 0.9356, top5_acc: 0.9929 +2025-06-01 06:23:53,937 - pyskl - INFO - Epoch [106][100/2353] lr: 5.144e-03, eta: 12:57:35, time: 0.642, data_time: 0.201, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.6439, loss: 1.6439 +2025-06-01 06:24:38,133 - pyskl - INFO - Epoch [106][200/2353] lr: 5.135e-03, eta: 12:56:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 1.6014, loss: 1.6014 +2025-06-01 06:25:22,294 - pyskl - INFO - Epoch [106][300/2353] lr: 5.126e-03, eta: 12:56:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 1.6246, loss: 1.6246 +2025-06-01 06:26:06,433 - pyskl - INFO - Epoch [106][400/2353] lr: 5.117e-03, eta: 12:55:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 1.6329, loss: 1.6329 +2025-06-01 06:26:50,487 - pyskl - INFO - Epoch [106][500/2353] lr: 5.108e-03, eta: 12:54:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 1.6299, loss: 1.6299 +2025-06-01 06:27:34,580 - pyskl - INFO - Epoch [106][600/2353] lr: 5.099e-03, eta: 12:53:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 1.6800, loss: 1.6800 +2025-06-01 06:28:18,718 - pyskl - INFO - Epoch [106][700/2353] lr: 5.090e-03, eta: 12:53:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 1.6136, loss: 1.6136 +2025-06-01 06:29:02,792 - pyskl - INFO - Epoch [106][800/2353] lr: 5.081e-03, eta: 12:52:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 1.5877, loss: 1.5877 +2025-06-01 06:29:47,003 - pyskl - INFO - Epoch [106][900/2353] lr: 5.072e-03, eta: 12:51:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 1.7037, loss: 1.7037 +2025-06-01 06:30:31,100 - pyskl - INFO - Epoch [106][1000/2353] lr: 5.063e-03, eta: 12:50:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 1.6777, loss: 1.6777 +2025-06-01 06:31:15,247 - pyskl - INFO - Epoch [106][1100/2353] lr: 5.054e-03, eta: 12:50:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 1.6766, loss: 1.6766 +2025-06-01 06:31:59,373 - pyskl - INFO - Epoch [106][1200/2353] lr: 5.045e-03, eta: 12:49:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 1.6769, loss: 1.6769 +2025-06-01 06:32:43,461 - pyskl - INFO - Epoch [106][1300/2353] lr: 5.036e-03, eta: 12:48:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 1.7020, loss: 1.7020 +2025-06-01 06:33:27,687 - pyskl - INFO - Epoch [106][1400/2353] lr: 5.027e-03, eta: 12:48:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 1.7251, loss: 1.7251 +2025-06-01 06:34:11,841 - pyskl - INFO - Epoch [106][1500/2353] lr: 5.018e-03, eta: 12:47:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 1.7945, loss: 1.7945 +2025-06-01 06:34:56,032 - pyskl - INFO - Epoch [106][1600/2353] lr: 5.010e-03, eta: 12:46:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 1.6684, loss: 1.6684 +2025-06-01 06:35:40,180 - pyskl - INFO - Epoch [106][1700/2353] lr: 5.001e-03, eta: 12:45:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 1.6702, loss: 1.6702 +2025-06-01 06:36:24,326 - pyskl - INFO - Epoch [106][1800/2353] lr: 4.992e-03, eta: 12:45:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 1.6721, loss: 1.6721 +2025-06-01 06:37:08,593 - pyskl - INFO - Epoch [106][1900/2353] lr: 4.983e-03, eta: 12:44:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 1.6287, loss: 1.6287 +2025-06-01 06:37:52,776 - pyskl - INFO - Epoch [106][2000/2353] lr: 4.974e-03, eta: 12:43:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9944, loss_cls: 1.7034, loss: 1.7034 +2025-06-01 06:38:36,874 - pyskl - INFO - Epoch [106][2100/2353] lr: 4.965e-03, eta: 12:42:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 1.7275, loss: 1.7275 +2025-06-01 06:39:21,082 - pyskl - INFO - Epoch [106][2200/2353] lr: 4.956e-03, eta: 12:42:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 1.7387, loss: 1.7387 +2025-06-01 06:40:05,216 - pyskl - INFO - Epoch [106][2300/2353] lr: 4.947e-03, eta: 12:41:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 1.6605, loss: 1.6605 +2025-06-01 06:40:29,115 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-06-01 06:41:58,772 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 06:41:58,850 - pyskl - INFO - +top1_acc 0.9343 +top5_acc 0.9941 +2025-06-01 06:41:58,853 - pyskl - INFO - Epoch(val) [106][1184] top1_acc: 0.9343, top5_acc: 0.9941 +2025-06-01 06:43:03,040 - pyskl - INFO - Epoch [107][100/2353] lr: 4.934e-03, eta: 12:40:16, time: 0.642, data_time: 0.201, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9956, loss_cls: 1.6124, loss: 1.6124 +2025-06-01 06:43:47,172 - pyskl - INFO - Epoch [107][200/2353] lr: 4.925e-03, eta: 12:39:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 1.6779, loss: 1.6779 +2025-06-01 06:44:31,281 - pyskl - INFO - Epoch [107][300/2353] lr: 4.916e-03, eta: 12:38:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.5532, loss: 1.5532 +2025-06-01 06:45:15,400 - pyskl - INFO - Epoch [107][400/2353] lr: 4.907e-03, eta: 12:38:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 1.6429, loss: 1.6429 +2025-06-01 06:45:59,570 - pyskl - INFO - Epoch [107][500/2353] lr: 4.898e-03, eta: 12:37:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 1.5633, loss: 1.5633 +2025-06-01 06:46:43,700 - pyskl - INFO - Epoch [107][600/2353] lr: 4.890e-03, eta: 12:36:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 1.5944, loss: 1.5944 +2025-06-01 06:47:27,949 - pyskl - INFO - Epoch [107][700/2353] lr: 4.881e-03, eta: 12:35:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 1.6590, loss: 1.6590 +2025-06-01 06:48:12,306 - pyskl - INFO - Epoch [107][800/2353] lr: 4.872e-03, eta: 12:35:08, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 1.6594, loss: 1.6594 +2025-06-01 06:48:56,410 - pyskl - INFO - Epoch [107][900/2353] lr: 4.863e-03, eta: 12:34:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 1.6629, loss: 1.6629 +2025-06-01 06:49:40,589 - pyskl - INFO - Epoch [107][1000/2353] lr: 4.854e-03, eta: 12:33:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 1.6415, loss: 1.6415 +2025-06-01 06:50:24,839 - pyskl - INFO - Epoch [107][1100/2353] lr: 4.845e-03, eta: 12:32:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 1.7220, loss: 1.7220 +2025-06-01 06:51:09,083 - pyskl - INFO - Epoch [107][1200/2353] lr: 4.837e-03, eta: 12:32:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 1.6531, loss: 1.6531 +2025-06-01 06:51:53,333 - pyskl - INFO - Epoch [107][1300/2353] lr: 4.828e-03, eta: 12:31:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.6426, loss: 1.6426 +2025-06-01 06:52:37,371 - pyskl - INFO - Epoch [107][1400/2353] lr: 4.819e-03, eta: 12:30:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 1.6850, loss: 1.6850 +2025-06-01 06:53:21,465 - pyskl - INFO - Epoch [107][1500/2353] lr: 4.810e-03, eta: 12:29:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 1.6948, loss: 1.6948 +2025-06-01 06:54:05,539 - pyskl - INFO - Epoch [107][1600/2353] lr: 4.802e-03, eta: 12:29:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 1.5971, loss: 1.5971 +2025-06-01 06:54:49,764 - pyskl - INFO - Epoch [107][1700/2353] lr: 4.793e-03, eta: 12:28:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 1.6724, loss: 1.6724 +2025-06-01 06:55:34,089 - pyskl - INFO - Epoch [107][1800/2353] lr: 4.784e-03, eta: 12:27:47, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 1.6898, loss: 1.6898 +2025-06-01 06:56:18,365 - pyskl - INFO - Epoch [107][1900/2353] lr: 4.775e-03, eta: 12:27:03, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 1.6337, loss: 1.6337 +2025-06-01 06:57:02,523 - pyskl - INFO - Epoch [107][2000/2353] lr: 4.767e-03, eta: 12:26:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 1.7412, loss: 1.7412 +2025-06-01 06:57:46,568 - pyskl - INFO - Epoch [107][2100/2353] lr: 4.758e-03, eta: 12:25:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 1.7001, loss: 1.7001 +2025-06-01 06:58:30,654 - pyskl - INFO - Epoch [107][2200/2353] lr: 4.749e-03, eta: 12:24:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 1.6832, loss: 1.6832 +2025-06-01 06:59:14,773 - pyskl - INFO - Epoch [107][2300/2353] lr: 4.740e-03, eta: 12:24:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 1.6967, loss: 1.6967 +2025-06-01 06:59:38,598 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-06-01 07:01:08,021 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 07:01:08,096 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9936 +2025-06-01 07:01:08,099 - pyskl - INFO - Epoch(val) [107][1184] top1_acc: 0.9331, top5_acc: 0.9936 +2025-06-01 07:02:11,961 - pyskl - INFO - Epoch [108][100/2353] lr: 4.727e-03, eta: 12:22:58, time: 0.639, data_time: 0.198, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 1.5417, loss: 1.5417 +2025-06-01 07:02:55,889 - pyskl - INFO - Epoch [108][200/2353] lr: 4.718e-03, eta: 12:22:14, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.6507, loss: 1.6507 +2025-06-01 07:03:39,891 - pyskl - INFO - Epoch [108][300/2353] lr: 4.710e-03, eta: 12:21:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 1.5285, loss: 1.5285 +2025-06-01 07:04:23,817 - pyskl - INFO - Epoch [108][400/2353] lr: 4.701e-03, eta: 12:20:45, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 1.5315, loss: 1.5315 +2025-06-01 07:05:07,845 - pyskl - INFO - Epoch [108][500/2353] lr: 4.692e-03, eta: 12:20:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.6286, loss: 1.6286 +2025-06-01 07:05:51,874 - pyskl - INFO - Epoch [108][600/2353] lr: 4.684e-03, eta: 12:19:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 1.6348, loss: 1.6348 +2025-06-01 07:06:36,000 - pyskl - INFO - Epoch [108][700/2353] lr: 4.675e-03, eta: 12:18:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 1.6080, loss: 1.6080 +2025-06-01 07:07:19,954 - pyskl - INFO - Epoch [108][800/2353] lr: 4.666e-03, eta: 12:17:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 1.6323, loss: 1.6323 +2025-06-01 07:08:04,036 - pyskl - INFO - Epoch [108][900/2353] lr: 4.658e-03, eta: 12:17:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 1.5096, loss: 1.5096 +2025-06-01 07:08:48,148 - pyskl - INFO - Epoch [108][1000/2353] lr: 4.649e-03, eta: 12:16:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 1.5988, loss: 1.5988 +2025-06-01 07:09:32,196 - pyskl - INFO - Epoch [108][1100/2353] lr: 4.640e-03, eta: 12:15:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 1.5720, loss: 1.5720 +2025-06-01 07:10:16,272 - pyskl - INFO - Epoch [108][1200/2353] lr: 4.632e-03, eta: 12:14:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 1.6525, loss: 1.6525 +2025-06-01 07:11:00,316 - pyskl - INFO - Epoch [108][1300/2353] lr: 4.623e-03, eta: 12:14:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 1.6668, loss: 1.6668 +2025-06-01 07:11:44,299 - pyskl - INFO - Epoch [108][1400/2353] lr: 4.614e-03, eta: 12:13:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 1.6118, loss: 1.6118 +2025-06-01 07:12:28,373 - pyskl - INFO - Epoch [108][1500/2353] lr: 4.606e-03, eta: 12:12:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 1.6550, loss: 1.6550 +2025-06-01 07:13:12,347 - pyskl - INFO - Epoch [108][1600/2353] lr: 4.597e-03, eta: 12:11:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 1.6806, loss: 1.6806 +2025-06-01 07:13:56,345 - pyskl - INFO - Epoch [108][1700/2353] lr: 4.588e-03, eta: 12:11:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 1.7043, loss: 1.7043 +2025-06-01 07:14:40,476 - pyskl - INFO - Epoch [108][1800/2353] lr: 4.580e-03, eta: 12:10:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 1.6784, loss: 1.6784 +2025-06-01 07:15:24,693 - pyskl - INFO - Epoch [108][1900/2353] lr: 4.571e-03, eta: 12:09:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9938, loss_cls: 1.7304, loss: 1.7304 +2025-06-01 07:16:08,880 - pyskl - INFO - Epoch [108][2000/2353] lr: 4.563e-03, eta: 12:08:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 1.6668, loss: 1.6668 +2025-06-01 07:16:52,914 - pyskl - INFO - Epoch [108][2100/2353] lr: 4.554e-03, eta: 12:08:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 1.6725, loss: 1.6725 +2025-06-01 07:17:37,077 - pyskl - INFO - Epoch [108][2200/2353] lr: 4.545e-03, eta: 12:07:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 1.6240, loss: 1.6240 +2025-06-01 07:18:21,137 - pyskl - INFO - Epoch [108][2300/2353] lr: 4.537e-03, eta: 12:06:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 1.6476, loss: 1.6476 +2025-06-01 07:18:45,083 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-06-01 07:20:14,785 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 07:20:14,862 - pyskl - INFO - +top1_acc 0.9368 +top5_acc 0.9938 +2025-06-01 07:20:14,865 - pyskl - INFO - Epoch(val) [108][1184] top1_acc: 0.9368, top5_acc: 0.9938 +2025-06-01 07:21:19,758 - pyskl - INFO - Epoch [109][100/2353] lr: 4.524e-03, eta: 12:05:39, time: 0.649, data_time: 0.206, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 1.5854, loss: 1.5854 +2025-06-01 07:22:04,036 - pyskl - INFO - Epoch [109][200/2353] lr: 4.515e-03, eta: 12:04:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.5242, loss: 1.5242 +2025-06-01 07:22:48,359 - pyskl - INFO - Epoch [109][300/2353] lr: 4.507e-03, eta: 12:04:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 1.5512, loss: 1.5512 +2025-06-01 07:23:32,684 - pyskl - INFO - Epoch [109][400/2353] lr: 4.498e-03, eta: 12:03:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.5176, loss: 1.5176 +2025-06-01 07:24:17,034 - pyskl - INFO - Epoch [109][500/2353] lr: 4.490e-03, eta: 12:02:43, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 1.5769, loss: 1.5769 +2025-06-01 07:25:01,431 - pyskl - INFO - Epoch [109][600/2353] lr: 4.481e-03, eta: 12:01:59, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 1.5957, loss: 1.5957 +2025-06-01 07:25:45,840 - pyskl - INFO - Epoch [109][700/2353] lr: 4.472e-03, eta: 12:01:15, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 1.6385, loss: 1.6385 +2025-06-01 07:26:30,305 - pyskl - INFO - Epoch [109][800/2353] lr: 4.464e-03, eta: 12:00:31, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 1.5415, loss: 1.5415 +2025-06-01 07:27:14,669 - pyskl - INFO - Epoch [109][900/2353] lr: 4.455e-03, eta: 11:59:47, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 1.5058, loss: 1.5058 +2025-06-01 07:27:59,035 - pyskl - INFO - Epoch [109][1000/2353] lr: 4.447e-03, eta: 11:59:03, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.5599, loss: 1.5599 +2025-06-01 07:28:43,373 - pyskl - INFO - Epoch [109][1100/2353] lr: 4.438e-03, eta: 11:58:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.5979, loss: 1.5979 +2025-06-01 07:29:27,649 - pyskl - INFO - Epoch [109][1200/2353] lr: 4.430e-03, eta: 11:57:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.5596, loss: 1.5596 +2025-06-01 07:30:11,973 - pyskl - INFO - Epoch [109][1300/2353] lr: 4.421e-03, eta: 11:56:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 1.6287, loss: 1.6287 +2025-06-01 07:30:56,298 - pyskl - INFO - Epoch [109][1400/2353] lr: 4.413e-03, eta: 11:56:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 1.6505, loss: 1.6505 +2025-06-01 07:31:40,917 - pyskl - INFO - Epoch [109][1500/2353] lr: 4.404e-03, eta: 11:55:23, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 1.5862, loss: 1.5862 +2025-06-01 07:32:25,350 - pyskl - INFO - Epoch [109][1600/2353] lr: 4.396e-03, eta: 11:54:39, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.6187, loss: 1.6187 +2025-06-01 07:33:09,695 - pyskl - INFO - Epoch [109][1700/2353] lr: 4.387e-03, eta: 11:53:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 1.5235, loss: 1.5235 +2025-06-01 07:33:54,050 - pyskl - INFO - Epoch [109][1800/2353] lr: 4.379e-03, eta: 11:53:11, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 1.6492, loss: 1.6492 +2025-06-01 07:34:38,476 - pyskl - INFO - Epoch [109][1900/2353] lr: 4.371e-03, eta: 11:52:27, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 1.6439, loss: 1.6439 +2025-06-01 07:35:22,823 - pyskl - INFO - Epoch [109][2000/2353] lr: 4.362e-03, eta: 11:51:43, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 1.5493, loss: 1.5493 +2025-06-01 07:36:07,197 - pyskl - INFO - Epoch [109][2100/2353] lr: 4.354e-03, eta: 11:50:59, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 1.5507, loss: 1.5507 +2025-06-01 07:36:51,493 - pyskl - INFO - Epoch [109][2200/2353] lr: 4.345e-03, eta: 11:50:15, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 1.6871, loss: 1.6871 +2025-06-01 07:37:35,889 - pyskl - INFO - Epoch [109][2300/2353] lr: 4.337e-03, eta: 11:49:31, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 1.6449, loss: 1.6449 +2025-06-01 07:37:59,959 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-06-01 07:39:29,458 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 07:39:29,533 - pyskl - INFO - +top1_acc 0.9306 +top5_acc 0.9935 +2025-06-01 07:39:29,536 - pyskl - INFO - Epoch(val) [109][1184] top1_acc: 0.9306, top5_acc: 0.9935 +2025-06-01 07:40:33,738 - pyskl - INFO - Epoch [110][100/2353] lr: 4.324e-03, eta: 11:48:22, time: 0.642, data_time: 0.201, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 1.5835, loss: 1.5835 +2025-06-01 07:41:17,881 - pyskl - INFO - Epoch [110][200/2353] lr: 4.315e-03, eta: 11:47:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 1.5725, loss: 1.5725 +2025-06-01 07:42:02,005 - pyskl - INFO - Epoch [110][300/2353] lr: 4.307e-03, eta: 11:46:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.5929, loss: 1.5929 +2025-06-01 07:42:46,151 - pyskl - INFO - Epoch [110][400/2353] lr: 4.299e-03, eta: 11:46:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 1.5602, loss: 1.5602 +2025-06-01 07:43:30,578 - pyskl - INFO - Epoch [110][500/2353] lr: 4.290e-03, eta: 11:45:26, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 1.5258, loss: 1.5258 +2025-06-01 07:44:14,664 - pyskl - INFO - Epoch [110][600/2353] lr: 4.282e-03, eta: 11:44:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 1.5955, loss: 1.5955 +2025-06-01 07:44:59,001 - pyskl - INFO - Epoch [110][700/2353] lr: 4.274e-03, eta: 11:43:57, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 1.5739, loss: 1.5739 +2025-06-01 07:45:43,277 - pyskl - INFO - Epoch [110][800/2353] lr: 4.265e-03, eta: 11:43:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 1.6019, loss: 1.6019 +2025-06-01 07:46:27,552 - pyskl - INFO - Epoch [110][900/2353] lr: 4.257e-03, eta: 11:42:29, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 1.6027, loss: 1.6027 +2025-06-01 07:47:11,800 - pyskl - INFO - Epoch [110][1000/2353] lr: 4.248e-03, eta: 11:41:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 1.5611, loss: 1.5611 +2025-06-01 07:47:56,005 - pyskl - INFO - Epoch [110][1100/2353] lr: 4.240e-03, eta: 11:41:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 1.6153, loss: 1.6153 +2025-06-01 07:48:40,189 - pyskl - INFO - Epoch [110][1200/2353] lr: 4.232e-03, eta: 11:40:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 1.5367, loss: 1.5367 +2025-06-01 07:49:24,396 - pyskl - INFO - Epoch [110][1300/2353] lr: 4.223e-03, eta: 11:39:33, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.5534, loss: 1.5534 +2025-06-01 07:50:08,526 - pyskl - INFO - Epoch [110][1400/2353] lr: 4.215e-03, eta: 11:38:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 1.5553, loss: 1.5553 +2025-06-01 07:50:52,692 - pyskl - INFO - Epoch [110][1500/2353] lr: 4.207e-03, eta: 11:38:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 1.4979, loss: 1.4979 +2025-06-01 07:51:36,876 - pyskl - INFO - Epoch [110][1600/2353] lr: 4.198e-03, eta: 11:37:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 1.5687, loss: 1.5687 +2025-06-01 07:52:21,062 - pyskl - INFO - Epoch [110][1700/2353] lr: 4.190e-03, eta: 11:36:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 1.6406, loss: 1.6406 +2025-06-01 07:53:05,265 - pyskl - INFO - Epoch [110][1800/2353] lr: 4.182e-03, eta: 11:35:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 1.6394, loss: 1.6394 +2025-06-01 07:53:49,363 - pyskl - INFO - Epoch [110][1900/2353] lr: 4.173e-03, eta: 11:35:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.5672, loss: 1.5672 +2025-06-01 07:54:33,493 - pyskl - INFO - Epoch [110][2000/2353] lr: 4.165e-03, eta: 11:34:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.6098, loss: 1.6098 +2025-06-01 07:55:17,696 - pyskl - INFO - Epoch [110][2100/2353] lr: 4.157e-03, eta: 11:33:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.5979, loss: 1.5979 +2025-06-01 07:56:01,769 - pyskl - INFO - Epoch [110][2200/2353] lr: 4.149e-03, eta: 11:32:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 1.5698, loss: 1.5698 +2025-06-01 07:56:45,938 - pyskl - INFO - Epoch [110][2300/2353] lr: 4.140e-03, eta: 11:32:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 1.5237, loss: 1.5237 +2025-06-01 07:57:09,976 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-06-01 08:05:55,795 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 08:05:55,870 - pyskl - INFO - +top1_acc 0.9394 +top5_acc 0.9932 +2025-06-01 08:05:55,927 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_100.pth was removed +2025-06-01 08:05:56,992 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2025-06-01 08:05:56,993 - pyskl - INFO - Best top1_acc is 0.9394 at 110 epoch. +2025-06-01 08:05:56,996 - pyskl - INFO - Epoch(val) [110][1184] top1_acc: 0.9394, top5_acc: 0.9932 +2025-06-01 08:07:01,271 - pyskl - INFO - Epoch [111][100/2353] lr: 4.128e-03, eta: 11:31:04, time: 0.643, data_time: 0.203, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 1.5155, loss: 1.5155 +2025-06-01 08:07:45,193 - pyskl - INFO - Epoch [111][200/2353] lr: 4.119e-03, eta: 11:30:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.4658, loss: 1.4658 +2025-06-01 08:08:29,353 - pyskl - INFO - Epoch [111][300/2353] lr: 4.111e-03, eta: 11:29:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.5708, loss: 1.5708 +2025-06-01 08:09:13,559 - pyskl - INFO - Epoch [111][400/2353] lr: 4.103e-03, eta: 11:28:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 1.5247, loss: 1.5247 +2025-06-01 08:09:57,770 - pyskl - INFO - Epoch [111][500/2353] lr: 4.095e-03, eta: 11:28:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.5065, loss: 1.5065 +2025-06-01 08:10:41,847 - pyskl - INFO - Epoch [111][600/2353] lr: 4.086e-03, eta: 11:27:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 1.5650, loss: 1.5650 +2025-06-01 08:11:25,870 - pyskl - INFO - Epoch [111][700/2353] lr: 4.078e-03, eta: 11:26:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.5718, loss: 1.5718 +2025-06-01 08:12:09,884 - pyskl - INFO - Epoch [111][800/2353] lr: 4.070e-03, eta: 11:25:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 1.6351, loss: 1.6351 +2025-06-01 08:12:53,782 - pyskl - INFO - Epoch [111][900/2353] lr: 4.062e-03, eta: 11:25:11, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.5818, loss: 1.5818 +2025-06-01 08:13:37,925 - pyskl - INFO - Epoch [111][1000/2353] lr: 4.054e-03, eta: 11:24:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 1.5343, loss: 1.5343 +2025-06-01 08:14:22,031 - pyskl - INFO - Epoch [111][1100/2353] lr: 4.045e-03, eta: 11:23:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 1.6150, loss: 1.6150 +2025-06-01 08:15:06,045 - pyskl - INFO - Epoch [111][1200/2353] lr: 4.037e-03, eta: 11:22:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 1.6393, loss: 1.6393 +2025-06-01 08:15:50,125 - pyskl - INFO - Epoch [111][1300/2353] lr: 4.029e-03, eta: 11:22:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.5626, loss: 1.5626 +2025-06-01 08:16:34,180 - pyskl - INFO - Epoch [111][1400/2353] lr: 4.021e-03, eta: 11:21:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.5509, loss: 1.5509 +2025-06-01 08:17:18,312 - pyskl - INFO - Epoch [111][1500/2353] lr: 4.013e-03, eta: 11:20:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 1.5511, loss: 1.5511 +2025-06-01 08:18:02,348 - pyskl - INFO - Epoch [111][1600/2353] lr: 4.005e-03, eta: 11:20:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 1.5930, loss: 1.5930 +2025-06-01 08:18:46,501 - pyskl - INFO - Epoch [111][1700/2353] lr: 3.996e-03, eta: 11:19:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 1.5117, loss: 1.5117 +2025-06-01 08:19:30,656 - pyskl - INFO - Epoch [111][1800/2353] lr: 3.988e-03, eta: 11:18:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 1.6189, loss: 1.6189 +2025-06-01 08:20:14,739 - pyskl - INFO - Epoch [111][1900/2353] lr: 3.980e-03, eta: 11:17:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 1.5904, loss: 1.5904 +2025-06-01 08:20:58,804 - pyskl - INFO - Epoch [111][2000/2353] lr: 3.972e-03, eta: 11:17:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 1.5614, loss: 1.5614 +2025-06-01 08:21:42,845 - pyskl - INFO - Epoch [111][2100/2353] lr: 3.964e-03, eta: 11:16:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 1.6037, loss: 1.6037 +2025-06-01 08:22:26,913 - pyskl - INFO - Epoch [111][2200/2353] lr: 3.956e-03, eta: 11:15:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9956, loss_cls: 1.5763, loss: 1.5763 +2025-06-01 08:23:10,936 - pyskl - INFO - Epoch [111][2300/2353] lr: 3.948e-03, eta: 11:14:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 1.6933, loss: 1.6933 +2025-06-01 08:23:34,859 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-06-01 08:25:04,612 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 08:25:04,689 - pyskl - INFO - +top1_acc 0.9373 +top5_acc 0.9945 +2025-06-01 08:25:04,692 - pyskl - INFO - Epoch(val) [111][1184] top1_acc: 0.9373, top5_acc: 0.9945 +2025-06-01 08:26:09,153 - pyskl - INFO - Epoch [112][100/2353] lr: 3.935e-03, eta: 11:13:45, time: 0.645, data_time: 0.201, memory: 13127, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.4824, loss: 1.4824 +2025-06-01 08:26:53,286 - pyskl - INFO - Epoch [112][200/2353] lr: 3.927e-03, eta: 11:13:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.3837, loss: 1.3837 +2025-06-01 08:27:37,396 - pyskl - INFO - Epoch [112][300/2353] lr: 3.919e-03, eta: 11:12:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 1.5349, loss: 1.5349 +2025-06-01 08:28:21,565 - pyskl - INFO - Epoch [112][400/2353] lr: 3.911e-03, eta: 11:11:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.5469, loss: 1.5469 +2025-06-01 08:29:05,645 - pyskl - INFO - Epoch [112][500/2353] lr: 3.903e-03, eta: 11:10:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.5103, loss: 1.5103 +2025-06-01 08:29:49,705 - pyskl - INFO - Epoch [112][600/2353] lr: 3.895e-03, eta: 11:10:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.4616, loss: 1.4616 +2025-06-01 08:30:33,988 - pyskl - INFO - Epoch [112][700/2353] lr: 3.887e-03, eta: 11:09:20, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.4871, loss: 1.4871 +2025-06-01 08:31:18,069 - pyskl - INFO - Epoch [112][800/2353] lr: 3.879e-03, eta: 11:08:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 1.4972, loss: 1.4972 +2025-06-01 08:32:02,169 - pyskl - INFO - Epoch [112][900/2353] lr: 3.871e-03, eta: 11:07:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.5122, loss: 1.5122 +2025-06-01 08:32:46,284 - pyskl - INFO - Epoch [112][1000/2353] lr: 3.862e-03, eta: 11:07:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 1.6121, loss: 1.6121 +2025-06-01 08:33:30,353 - pyskl - INFO - Epoch [112][1100/2353] lr: 3.854e-03, eta: 11:06:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 1.5587, loss: 1.5587 +2025-06-01 08:34:14,457 - pyskl - INFO - Epoch [112][1200/2353] lr: 3.846e-03, eta: 11:05:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.5277, loss: 1.5277 +2025-06-01 08:34:58,552 - pyskl - INFO - Epoch [112][1300/2353] lr: 3.838e-03, eta: 11:04:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.4981, loss: 1.4981 +2025-06-01 08:35:42,823 - pyskl - INFO - Epoch [112][1400/2353] lr: 3.830e-03, eta: 11:04:12, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.5074, loss: 1.5074 +2025-06-01 08:36:27,117 - pyskl - INFO - Epoch [112][1500/2353] lr: 3.822e-03, eta: 11:03:28, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.5000, loss: 1.5000 +2025-06-01 08:37:11,175 - pyskl - INFO - Epoch [112][1600/2353] lr: 3.814e-03, eta: 11:02:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.4887, loss: 1.4887 +2025-06-01 08:37:55,198 - pyskl - INFO - Epoch [112][1700/2353] lr: 3.806e-03, eta: 11:01:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 1.5792, loss: 1.5792 +2025-06-01 08:38:39,232 - pyskl - INFO - Epoch [112][1800/2353] lr: 3.798e-03, eta: 11:01:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 1.5989, loss: 1.5989 +2025-06-01 08:39:23,201 - pyskl - INFO - Epoch [112][1900/2353] lr: 3.790e-03, eta: 11:00:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.5131, loss: 1.5131 +2025-06-01 08:40:07,232 - pyskl - INFO - Epoch [112][2000/2353] lr: 3.782e-03, eta: 10:59:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 1.5910, loss: 1.5910 +2025-06-01 08:40:51,307 - pyskl - INFO - Epoch [112][2100/2353] lr: 3.774e-03, eta: 10:59:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 1.5409, loss: 1.5409 +2025-06-01 08:41:35,256 - pyskl - INFO - Epoch [112][2200/2353] lr: 3.766e-03, eta: 10:58:19, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 1.6750, loss: 1.6750 +2025-06-01 08:42:19,500 - pyskl - INFO - Epoch [112][2300/2353] lr: 3.759e-03, eta: 10:57:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.5818, loss: 1.5818 +2025-06-01 08:42:43,392 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-06-01 08:44:12,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 08:44:12,753 - pyskl - INFO - +top1_acc 0.9340 +top5_acc 0.9927 +2025-06-01 08:44:12,756 - pyskl - INFO - Epoch(val) [112][1184] top1_acc: 0.9340, top5_acc: 0.9927 +2025-06-01 08:45:17,822 - pyskl - INFO - Epoch [113][100/2353] lr: 3.746e-03, eta: 10:56:26, time: 0.651, data_time: 0.206, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 1.4868, loss: 1.4868 +2025-06-01 08:46:02,316 - pyskl - INFO - Epoch [113][200/2353] lr: 3.738e-03, eta: 10:55:42, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 1.4993, loss: 1.4993 +2025-06-01 08:46:46,606 - pyskl - INFO - Epoch [113][300/2353] lr: 3.730e-03, eta: 10:54:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 1.4642, loss: 1.4642 +2025-06-01 08:47:30,867 - pyskl - INFO - Epoch [113][400/2353] lr: 3.723e-03, eta: 10:54:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 1.5169, loss: 1.5169 +2025-06-01 08:48:15,024 - pyskl - INFO - Epoch [113][500/2353] lr: 3.715e-03, eta: 10:53:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 1.5189, loss: 1.5189 +2025-06-01 08:48:59,392 - pyskl - INFO - Epoch [113][600/2353] lr: 3.707e-03, eta: 10:52:46, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 1.4361, loss: 1.4361 +2025-06-01 08:49:43,818 - pyskl - INFO - Epoch [113][700/2353] lr: 3.699e-03, eta: 10:52:02, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 1.4972, loss: 1.4972 +2025-06-01 08:50:28,218 - pyskl - INFO - Epoch [113][800/2353] lr: 3.691e-03, eta: 10:51:18, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 1.4745, loss: 1.4745 +2025-06-01 08:51:12,621 - pyskl - INFO - Epoch [113][900/2353] lr: 3.683e-03, eta: 10:50:34, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.5000, loss: 1.5000 +2025-06-01 08:51:57,024 - pyskl - INFO - Epoch [113][1000/2353] lr: 3.675e-03, eta: 10:49:50, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.5441, loss: 1.5441 +2025-06-01 08:52:41,309 - pyskl - INFO - Epoch [113][1100/2353] lr: 3.667e-03, eta: 10:49:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 1.5596, loss: 1.5596 +2025-06-01 08:53:25,585 - pyskl - INFO - Epoch [113][1200/2353] lr: 3.659e-03, eta: 10:48:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.5055, loss: 1.5055 +2025-06-01 08:54:09,910 - pyskl - INFO - Epoch [113][1300/2353] lr: 3.652e-03, eta: 10:47:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 1.5261, loss: 1.5261 +2025-06-01 08:54:54,139 - pyskl - INFO - Epoch [113][1400/2353] lr: 3.644e-03, eta: 10:46:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 1.5567, loss: 1.5567 +2025-06-01 08:55:38,425 - pyskl - INFO - Epoch [113][1500/2353] lr: 3.636e-03, eta: 10:46:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.5493, loss: 1.5493 +2025-06-01 08:56:22,721 - pyskl - INFO - Epoch [113][1600/2353] lr: 3.628e-03, eta: 10:45:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.5180, loss: 1.5180 +2025-06-01 08:57:07,013 - pyskl - INFO - Epoch [113][1700/2353] lr: 3.620e-03, eta: 10:44:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 1.5571, loss: 1.5571 +2025-06-01 08:57:51,173 - pyskl - INFO - Epoch [113][1800/2353] lr: 3.612e-03, eta: 10:43:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.5270, loss: 1.5270 +2025-06-01 08:58:35,346 - pyskl - INFO - Epoch [113][1900/2353] lr: 3.605e-03, eta: 10:43:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 1.5618, loss: 1.5618 +2025-06-01 08:59:19,640 - pyskl - INFO - Epoch [113][2000/2353] lr: 3.597e-03, eta: 10:42:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 1.5259, loss: 1.5259 +2025-06-01 09:00:03,895 - pyskl - INFO - Epoch [113][2100/2353] lr: 3.589e-03, eta: 10:41:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 1.5357, loss: 1.5357 +2025-06-01 09:00:48,317 - pyskl - INFO - Epoch [113][2200/2353] lr: 3.581e-03, eta: 10:41:02, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 1.5326, loss: 1.5326 +2025-06-01 09:01:32,656 - pyskl - INFO - Epoch [113][2300/2353] lr: 3.573e-03, eta: 10:40:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 1.5109, loss: 1.5109 +2025-06-01 09:01:56,656 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-06-01 09:03:26,323 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 09:03:26,400 - pyskl - INFO - +top1_acc 0.9450 +top5_acc 0.9946 +2025-06-01 09:03:26,455 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_110.pth was removed +2025-06-01 09:03:27,484 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. +2025-06-01 09:03:27,484 - pyskl - INFO - Best top1_acc is 0.9450 at 113 epoch. +2025-06-01 09:03:27,487 - pyskl - INFO - Epoch(val) [113][1184] top1_acc: 0.9450, top5_acc: 0.9946 +2025-06-01 09:04:32,389 - pyskl - INFO - Epoch [114][100/2353] lr: 3.561e-03, eta: 10:39:09, time: 0.649, data_time: 0.206, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 1.4357, loss: 1.4357 +2025-06-01 09:05:16,673 - pyskl - INFO - Epoch [114][200/2353] lr: 3.554e-03, eta: 10:38:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.4338, loss: 1.4338 +2025-06-01 09:06:00,826 - pyskl - INFO - Epoch [114][300/2353] lr: 3.546e-03, eta: 10:37:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 1.4443, loss: 1.4443 +2025-06-01 09:06:44,937 - pyskl - INFO - Epoch [114][400/2353] lr: 3.538e-03, eta: 10:36:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 1.5123, loss: 1.5123 +2025-06-01 09:07:29,182 - pyskl - INFO - Epoch [114][500/2353] lr: 3.530e-03, eta: 10:36:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 1.4998, loss: 1.4998 +2025-06-01 09:08:13,559 - pyskl - INFO - Epoch [114][600/2353] lr: 3.523e-03, eta: 10:35:29, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.4315, loss: 1.4315 +2025-06-01 09:08:57,838 - pyskl - INFO - Epoch [114][700/2353] lr: 3.515e-03, eta: 10:34:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 1.5218, loss: 1.5218 +2025-06-01 09:09:41,998 - pyskl - INFO - Epoch [114][800/2353] lr: 3.507e-03, eta: 10:34:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.4786, loss: 1.4786 +2025-06-01 09:10:26,047 - pyskl - INFO - Epoch [114][900/2353] lr: 3.499e-03, eta: 10:33:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.5416, loss: 1.5416 +2025-06-01 09:11:10,182 - pyskl - INFO - Epoch [114][1000/2353] lr: 3.492e-03, eta: 10:32:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.4654, loss: 1.4654 +2025-06-01 09:11:54,284 - pyskl - INFO - Epoch [114][1100/2353] lr: 3.484e-03, eta: 10:31:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 1.5674, loss: 1.5674 +2025-06-01 09:12:38,314 - pyskl - INFO - Epoch [114][1200/2353] lr: 3.476e-03, eta: 10:31:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 1.5473, loss: 1.5473 +2025-06-01 09:13:22,397 - pyskl - INFO - Epoch [114][1300/2353] lr: 3.469e-03, eta: 10:30:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 1.5262, loss: 1.5262 +2025-06-01 09:14:06,531 - pyskl - INFO - Epoch [114][1400/2353] lr: 3.461e-03, eta: 10:29:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.5126, loss: 1.5126 +2025-06-01 09:14:50,747 - pyskl - INFO - Epoch [114][1500/2353] lr: 3.453e-03, eta: 10:28:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.4550, loss: 1.4550 +2025-06-01 09:15:34,934 - pyskl - INFO - Epoch [114][1600/2353] lr: 3.446e-03, eta: 10:28:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 1.5530, loss: 1.5530 +2025-06-01 09:16:19,049 - pyskl - INFO - Epoch [114][1700/2353] lr: 3.438e-03, eta: 10:27:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.5131, loss: 1.5131 +2025-06-01 09:17:03,079 - pyskl - INFO - Epoch [114][1800/2353] lr: 3.430e-03, eta: 10:26:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 1.5118, loss: 1.5118 +2025-06-01 09:17:47,176 - pyskl - INFO - Epoch [114][1900/2353] lr: 3.423e-03, eta: 10:25:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 1.5767, loss: 1.5767 +2025-06-01 09:18:31,248 - pyskl - INFO - Epoch [114][2000/2353] lr: 3.415e-03, eta: 10:25:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 1.5318, loss: 1.5318 +2025-06-01 09:19:15,388 - pyskl - INFO - Epoch [114][2100/2353] lr: 3.407e-03, eta: 10:24:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 1.4464, loss: 1.4464 +2025-06-01 09:19:59,427 - pyskl - INFO - Epoch [114][2200/2353] lr: 3.400e-03, eta: 10:23:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 1.4644, loss: 1.4644 +2025-06-01 09:20:43,544 - pyskl - INFO - Epoch [114][2300/2353] lr: 3.392e-03, eta: 10:22:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.5068, loss: 1.5068 +2025-06-01 09:21:07,482 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-06-01 09:22:37,440 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 09:22:37,517 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9926 +2025-06-01 09:22:37,520 - pyskl - INFO - Epoch(val) [114][1184] top1_acc: 0.9371, top5_acc: 0.9926 +2025-06-01 09:23:42,022 - pyskl - INFO - Epoch [115][100/2353] lr: 3.380e-03, eta: 10:21:51, time: 0.645, data_time: 0.203, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9969, loss_cls: 1.4433, loss: 1.4433 +2025-06-01 09:24:26,223 - pyskl - INFO - Epoch [115][200/2353] lr: 3.373e-03, eta: 10:21:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.4092, loss: 1.4092 +2025-06-01 09:25:10,502 - pyskl - INFO - Epoch [115][300/2353] lr: 3.365e-03, eta: 10:20:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.4480, loss: 1.4480 +2025-06-01 09:25:54,791 - pyskl - INFO - Epoch [115][400/2353] lr: 3.358e-03, eta: 10:19:39, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 1.4097, loss: 1.4097 +2025-06-01 09:26:39,077 - pyskl - INFO - Epoch [115][500/2353] lr: 3.350e-03, eta: 10:18:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.3814, loss: 1.3814 +2025-06-01 09:27:23,458 - pyskl - INFO - Epoch [115][600/2353] lr: 3.342e-03, eta: 10:18:11, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 1.4176, loss: 1.4176 +2025-06-01 09:28:07,713 - pyskl - INFO - Epoch [115][700/2353] lr: 3.335e-03, eta: 10:17:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.4526, loss: 1.4526 +2025-06-01 09:28:51,861 - pyskl - INFO - Epoch [115][800/2353] lr: 3.327e-03, eta: 10:16:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.4518, loss: 1.4518 +2025-06-01 09:29:36,327 - pyskl - INFO - Epoch [115][900/2353] lr: 3.320e-03, eta: 10:15:59, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.4039, loss: 1.4039 +2025-06-01 09:30:20,521 - pyskl - INFO - Epoch [115][1000/2353] lr: 3.312e-03, eta: 10:15:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 1.4314, loss: 1.4314 +2025-06-01 09:31:04,644 - pyskl - INFO - Epoch [115][1100/2353] lr: 3.305e-03, eta: 10:14:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.4405, loss: 1.4405 +2025-06-01 09:31:48,862 - pyskl - INFO - Epoch [115][1200/2353] lr: 3.297e-03, eta: 10:13:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.4745, loss: 1.4745 +2025-06-01 09:32:33,102 - pyskl - INFO - Epoch [115][1300/2353] lr: 3.290e-03, eta: 10:13:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 1.4813, loss: 1.4813 +2025-06-01 09:33:17,332 - pyskl - INFO - Epoch [115][1400/2353] lr: 3.282e-03, eta: 10:12:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 1.4297, loss: 1.4297 +2025-06-01 09:34:01,597 - pyskl - INFO - Epoch [115][1500/2353] lr: 3.275e-03, eta: 10:11:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 1.4856, loss: 1.4856 +2025-06-01 09:34:45,725 - pyskl - INFO - Epoch [115][1600/2353] lr: 3.267e-03, eta: 10:10:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.4404, loss: 1.4404 +2025-06-01 09:35:29,856 - pyskl - INFO - Epoch [115][1700/2353] lr: 3.260e-03, eta: 10:10:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.4355, loss: 1.4355 +2025-06-01 09:36:14,025 - pyskl - INFO - Epoch [115][1800/2353] lr: 3.252e-03, eta: 10:09:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 1.4680, loss: 1.4680 +2025-06-01 09:36:58,317 - pyskl - INFO - Epoch [115][1900/2353] lr: 3.245e-03, eta: 10:08:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 1.5274, loss: 1.5274 +2025-06-01 09:37:42,641 - pyskl - INFO - Epoch [115][2000/2353] lr: 3.237e-03, eta: 10:07:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.4876, loss: 1.4876 +2025-06-01 09:38:26,823 - pyskl - INFO - Epoch [115][2100/2353] lr: 3.230e-03, eta: 10:07:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 1.5283, loss: 1.5283 +2025-06-01 09:39:10,984 - pyskl - INFO - Epoch [115][2200/2353] lr: 3.222e-03, eta: 10:06:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.4669, loss: 1.4669 +2025-06-01 09:39:55,212 - pyskl - INFO - Epoch [115][2300/2353] lr: 3.215e-03, eta: 10:05:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 1.4933, loss: 1.4933 +2025-06-01 09:40:19,323 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-06-01 09:49:42,253 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 09:49:42,335 - pyskl - INFO - +top1_acc 0.9367 +top5_acc 0.9936 +2025-06-01 09:49:42,339 - pyskl - INFO - Epoch(val) [115][1184] top1_acc: 0.9367, top5_acc: 0.9936 +2025-06-01 09:50:47,297 - pyskl - INFO - Epoch [116][100/2353] lr: 3.203e-03, eta: 10:04:33, time: 0.650, data_time: 0.207, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 1.4779, loss: 1.4779 +2025-06-01 09:51:31,562 - pyskl - INFO - Epoch [116][200/2353] lr: 3.196e-03, eta: 10:03:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 1.4195, loss: 1.4195 +2025-06-01 09:52:15,752 - pyskl - INFO - Epoch [116][300/2353] lr: 3.188e-03, eta: 10:03:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.4546, loss: 1.4546 +2025-06-01 09:52:59,824 - pyskl - INFO - Epoch [116][400/2353] lr: 3.181e-03, eta: 10:02:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 1.4233, loss: 1.4233 +2025-06-01 09:53:44,147 - pyskl - INFO - Epoch [116][500/2353] lr: 3.174e-03, eta: 10:01:37, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 1.3905, loss: 1.3905 +2025-06-01 09:54:28,402 - pyskl - INFO - Epoch [116][600/2353] lr: 3.166e-03, eta: 10:00:53, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 1.4324, loss: 1.4324 +2025-06-01 09:55:12,629 - pyskl - INFO - Epoch [116][700/2353] lr: 3.159e-03, eta: 10:00:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 1.4689, loss: 1.4689 +2025-06-01 09:55:56,833 - pyskl - INFO - Epoch [116][800/2353] lr: 3.151e-03, eta: 9:59:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.4336, loss: 1.4336 +2025-06-01 09:56:40,990 - pyskl - INFO - Epoch [116][900/2353] lr: 3.144e-03, eta: 9:58:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 1.3749, loss: 1.3749 +2025-06-01 09:57:25,043 - pyskl - INFO - Epoch [116][1000/2353] lr: 3.137e-03, eta: 9:57:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.4461, loss: 1.4461 +2025-06-01 09:58:09,057 - pyskl - INFO - Epoch [116][1100/2353] lr: 3.129e-03, eta: 9:57:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 1.4589, loss: 1.4589 +2025-06-01 09:58:53,374 - pyskl - INFO - Epoch [116][1200/2353] lr: 3.122e-03, eta: 9:56:29, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.4019, loss: 1.4019 +2025-06-01 09:59:37,321 - pyskl - INFO - Epoch [116][1300/2353] lr: 3.115e-03, eta: 9:55:45, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.4142, loss: 1.4142 +2025-06-01 10:00:21,546 - pyskl - INFO - Epoch [116][1400/2353] lr: 3.107e-03, eta: 9:55:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.4380, loss: 1.4380 +2025-06-01 10:01:05,489 - pyskl - INFO - Epoch [116][1500/2353] lr: 3.100e-03, eta: 9:54:16, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.3704, loss: 1.3704 +2025-06-01 10:01:49,565 - pyskl - INFO - Epoch [116][1600/2353] lr: 3.093e-03, eta: 9:53:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.4999, loss: 1.4999 +2025-06-01 10:02:33,690 - pyskl - INFO - Epoch [116][1700/2353] lr: 3.085e-03, eta: 9:52:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.4120, loss: 1.4120 +2025-06-01 10:03:17,936 - pyskl - INFO - Epoch [116][1800/2353] lr: 3.078e-03, eta: 9:52:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.3781, loss: 1.3781 +2025-06-01 10:04:02,157 - pyskl - INFO - Epoch [116][1900/2353] lr: 3.071e-03, eta: 9:51:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.4420, loss: 1.4420 +2025-06-01 10:04:46,241 - pyskl - INFO - Epoch [116][2000/2353] lr: 3.063e-03, eta: 9:50:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.4335, loss: 1.4335 +2025-06-01 10:05:30,389 - pyskl - INFO - Epoch [116][2100/2353] lr: 3.056e-03, eta: 9:49:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.5641, loss: 1.5641 +2025-06-01 10:06:14,514 - pyskl - INFO - Epoch [116][2200/2353] lr: 3.049e-03, eta: 9:49:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.5082, loss: 1.5082 +2025-06-01 10:06:58,704 - pyskl - INFO - Epoch [116][2300/2353] lr: 3.041e-03, eta: 9:48:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.4314, loss: 1.4314 +2025-06-01 10:07:22,678 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-06-01 10:08:52,126 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 10:08:52,204 - pyskl - INFO - +top1_acc 0.9420 +top5_acc 0.9946 +2025-06-01 10:08:52,207 - pyskl - INFO - Epoch(val) [116][1184] top1_acc: 0.9420, top5_acc: 0.9946 +2025-06-01 10:09:56,769 - pyskl - INFO - Epoch [117][100/2353] lr: 3.030e-03, eta: 9:47:15, time: 0.646, data_time: 0.204, memory: 13127, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.3766, loss: 1.3766 +2025-06-01 10:10:40,733 - pyskl - INFO - Epoch [117][200/2353] lr: 3.023e-03, eta: 9:46:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.3843, loss: 1.3843 +2025-06-01 10:11:24,892 - pyskl - INFO - Epoch [117][300/2353] lr: 3.016e-03, eta: 9:45:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.3911, loss: 1.3911 +2025-06-01 10:12:09,032 - pyskl - INFO - Epoch [117][400/2353] lr: 3.009e-03, eta: 9:45:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.3687, loss: 1.3687 +2025-06-01 10:12:53,146 - pyskl - INFO - Epoch [117][500/2353] lr: 3.001e-03, eta: 9:44:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.3787, loss: 1.3787 +2025-06-01 10:13:37,286 - pyskl - INFO - Epoch [117][600/2353] lr: 2.994e-03, eta: 9:43:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.3368, loss: 1.3368 +2025-06-01 10:14:21,406 - pyskl - INFO - Epoch [117][700/2353] lr: 2.987e-03, eta: 9:42:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.3978, loss: 1.3978 +2025-06-01 10:15:05,421 - pyskl - INFO - Epoch [117][800/2353] lr: 2.980e-03, eta: 9:42:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 1.3536, loss: 1.3536 +2025-06-01 10:15:49,352 - pyskl - INFO - Epoch [117][900/2353] lr: 2.973e-03, eta: 9:41:22, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.3916, loss: 1.3916 +2025-06-01 10:16:33,324 - pyskl - INFO - Epoch [117][1000/2353] lr: 2.965e-03, eta: 9:40:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 1.4486, loss: 1.4486 +2025-06-01 10:17:17,377 - pyskl - INFO - Epoch [117][1100/2353] lr: 2.958e-03, eta: 9:39:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 1.4161, loss: 1.4161 +2025-06-01 10:18:01,271 - pyskl - INFO - Epoch [117][1200/2353] lr: 2.951e-03, eta: 9:39:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.3867, loss: 1.3867 +2025-06-01 10:18:45,190 - pyskl - INFO - Epoch [117][1300/2353] lr: 2.944e-03, eta: 9:38:26, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.4103, loss: 1.4103 +2025-06-01 10:19:29,104 - pyskl - INFO - Epoch [117][1400/2353] lr: 2.937e-03, eta: 9:37:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 1.4685, loss: 1.4685 +2025-06-01 10:20:12,988 - pyskl - INFO - Epoch [117][1500/2353] lr: 2.929e-03, eta: 9:36:58, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.4212, loss: 1.4212 +2025-06-01 10:20:56,960 - pyskl - INFO - Epoch [117][1600/2353] lr: 2.922e-03, eta: 9:36:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 1.4028, loss: 1.4028 +2025-06-01 10:21:41,032 - pyskl - INFO - Epoch [117][1700/2353] lr: 2.915e-03, eta: 9:35:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.3576, loss: 1.3576 +2025-06-01 10:22:25,022 - pyskl - INFO - Epoch [117][1800/2353] lr: 2.908e-03, eta: 9:34:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.3723, loss: 1.3723 +2025-06-01 10:23:08,937 - pyskl - INFO - Epoch [117][1900/2353] lr: 2.901e-03, eta: 9:34:01, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 1.4498, loss: 1.4498 +2025-06-01 10:23:52,866 - pyskl - INFO - Epoch [117][2000/2353] lr: 2.894e-03, eta: 9:33:17, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 1.3998, loss: 1.3998 +2025-06-01 10:24:36,794 - pyskl - INFO - Epoch [117][2100/2353] lr: 2.887e-03, eta: 9:32:33, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.3834, loss: 1.3834 +2025-06-01 10:25:20,751 - pyskl - INFO - Epoch [117][2200/2353] lr: 2.880e-03, eta: 9:31:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 1.3371, loss: 1.3371 +2025-06-01 10:26:04,821 - pyskl - INFO - Epoch [117][2300/2353] lr: 2.872e-03, eta: 9:31:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 1.3987, loss: 1.3987 +2025-06-01 10:26:28,645 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-06-01 10:27:59,331 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 10:27:59,407 - pyskl - INFO - +top1_acc 0.9370 +top5_acc 0.9941 +2025-06-01 10:27:59,411 - pyskl - INFO - Epoch(val) [117][1184] top1_acc: 0.9370, top5_acc: 0.9941 +2025-06-01 10:29:04,083 - pyskl - INFO - Epoch [118][100/2353] lr: 2.862e-03, eta: 9:29:56, time: 0.647, data_time: 0.205, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.3727, loss: 1.3727 +2025-06-01 10:29:48,440 - pyskl - INFO - Epoch [118][200/2353] lr: 2.854e-03, eta: 9:29:12, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.3008, loss: 1.3008 +2025-06-01 10:30:32,663 - pyskl - INFO - Epoch [118][300/2353] lr: 2.847e-03, eta: 9:28:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.4401, loss: 1.4401 +2025-06-01 10:31:16,763 - pyskl - INFO - Epoch [118][400/2353] lr: 2.840e-03, eta: 9:27:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.4257, loss: 1.4257 +2025-06-01 10:32:00,818 - pyskl - INFO - Epoch [118][500/2353] lr: 2.833e-03, eta: 9:27:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.3451, loss: 1.3451 +2025-06-01 10:32:44,833 - pyskl - INFO - Epoch [118][600/2353] lr: 2.826e-03, eta: 9:26:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.3789, loss: 1.3789 +2025-06-01 10:33:28,837 - pyskl - INFO - Epoch [118][700/2353] lr: 2.819e-03, eta: 9:25:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.3862, loss: 1.3862 +2025-06-01 10:34:12,901 - pyskl - INFO - Epoch [118][800/2353] lr: 2.812e-03, eta: 9:24:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3582, loss: 1.3582 +2025-06-01 10:34:56,991 - pyskl - INFO - Epoch [118][900/2353] lr: 2.805e-03, eta: 9:24:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.3223, loss: 1.3223 +2025-06-01 10:35:41,178 - pyskl - INFO - Epoch [118][1000/2353] lr: 2.798e-03, eta: 9:23:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.2780, loss: 1.2780 +2025-06-01 10:36:25,480 - pyskl - INFO - Epoch [118][1100/2353] lr: 2.791e-03, eta: 9:22:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 1.3620, loss: 1.3620 +2025-06-01 10:37:09,492 - pyskl - INFO - Epoch [118][1200/2353] lr: 2.784e-03, eta: 9:21:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.3064, loss: 1.3064 +2025-06-01 10:37:53,408 - pyskl - INFO - Epoch [118][1300/2353] lr: 2.777e-03, eta: 9:21:07, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.3508, loss: 1.3508 +2025-06-01 10:38:37,467 - pyskl - INFO - Epoch [118][1400/2353] lr: 2.770e-03, eta: 9:20:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 1.3264, loss: 1.3264 +2025-06-01 10:39:21,350 - pyskl - INFO - Epoch [118][1500/2353] lr: 2.763e-03, eta: 9:19:39, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.3751, loss: 1.3751 +2025-06-01 10:40:05,499 - pyskl - INFO - Epoch [118][1600/2353] lr: 2.756e-03, eta: 9:18:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.3633, loss: 1.3633 +2025-06-01 10:40:49,535 - pyskl - INFO - Epoch [118][1700/2353] lr: 2.749e-03, eta: 9:18:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.4146, loss: 1.4146 +2025-06-01 10:41:33,628 - pyskl - INFO - Epoch [118][1800/2353] lr: 2.742e-03, eta: 9:17:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 1.4038, loss: 1.4038 +2025-06-01 10:42:17,656 - pyskl - INFO - Epoch [118][1900/2353] lr: 2.735e-03, eta: 9:16:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.3713, loss: 1.3713 +2025-06-01 10:43:01,939 - pyskl - INFO - Epoch [118][2000/2353] lr: 2.728e-03, eta: 9:15:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.3952, loss: 1.3952 +2025-06-01 10:43:46,230 - pyskl - INFO - Epoch [118][2100/2353] lr: 2.721e-03, eta: 9:15:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.3768, loss: 1.3768 +2025-06-01 10:44:30,333 - pyskl - INFO - Epoch [118][2200/2353] lr: 2.714e-03, eta: 9:14:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 1.3733, loss: 1.3733 +2025-06-01 10:45:14,458 - pyskl - INFO - Epoch [118][2300/2353] lr: 2.708e-03, eta: 9:13:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.4158, loss: 1.4158 +2025-06-01 10:45:38,491 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-06-01 10:47:07,974 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 10:47:08,051 - pyskl - INFO - +top1_acc 0.9436 +top5_acc 0.9950 +2025-06-01 10:47:08,054 - pyskl - INFO - Epoch(val) [118][1184] top1_acc: 0.9436, top5_acc: 0.9950 +2025-06-01 10:48:13,027 - pyskl - INFO - Epoch [119][100/2353] lr: 2.697e-03, eta: 9:12:38, time: 0.650, data_time: 0.207, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.3670, loss: 1.3670 +2025-06-01 10:48:57,360 - pyskl - INFO - Epoch [119][200/2353] lr: 2.690e-03, eta: 9:11:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.3968, loss: 1.3968 +2025-06-01 10:49:41,769 - pyskl - INFO - Epoch [119][300/2353] lr: 2.683e-03, eta: 9:11:10, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.3092, loss: 1.3092 +2025-06-01 10:50:26,418 - pyskl - INFO - Epoch [119][400/2353] lr: 2.676e-03, eta: 9:10:26, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.3603, loss: 1.3603 +2025-06-01 10:51:10,974 - pyskl - INFO - Epoch [119][500/2353] lr: 2.669e-03, eta: 9:09:42, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.3149, loss: 1.3149 +2025-06-01 10:51:55,565 - pyskl - INFO - Epoch [119][600/2353] lr: 2.663e-03, eta: 9:08:58, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2799, loss: 1.2799 +2025-06-01 10:52:40,079 - pyskl - INFO - Epoch [119][700/2353] lr: 2.656e-03, eta: 9:08:14, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.3280, loss: 1.3280 +2025-06-01 10:53:24,525 - pyskl - INFO - Epoch [119][800/2353] lr: 2.649e-03, eta: 9:07:30, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.3170, loss: 1.3170 +2025-06-01 10:54:09,018 - pyskl - INFO - Epoch [119][900/2353] lr: 2.642e-03, eta: 9:06:46, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.2872, loss: 1.2872 +2025-06-01 10:54:53,488 - pyskl - INFO - Epoch [119][1000/2353] lr: 2.635e-03, eta: 9:06:02, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3180, loss: 1.3180 +2025-06-01 10:55:37,877 - pyskl - INFO - Epoch [119][1100/2353] lr: 2.628e-03, eta: 9:05:18, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.3595, loss: 1.3595 +2025-06-01 10:56:22,364 - pyskl - INFO - Epoch [119][1200/2353] lr: 2.622e-03, eta: 9:04:34, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.3161, loss: 1.3161 +2025-06-01 10:57:06,825 - pyskl - INFO - Epoch [119][1300/2353] lr: 2.615e-03, eta: 9:03:50, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.3137, loss: 1.3137 +2025-06-01 10:57:51,182 - pyskl - INFO - Epoch [119][1400/2353] lr: 2.608e-03, eta: 9:03:06, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 1.4527, loss: 1.4527 +2025-06-01 10:58:35,447 - pyskl - INFO - Epoch [119][1500/2353] lr: 2.601e-03, eta: 9:02:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2839, loss: 1.2839 +2025-06-01 10:59:19,923 - pyskl - INFO - Epoch [119][1600/2353] lr: 2.594e-03, eta: 9:01:38, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.3451, loss: 1.3451 +2025-06-01 11:00:04,354 - pyskl - INFO - Epoch [119][1700/2353] lr: 2.588e-03, eta: 9:00:54, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.3392, loss: 1.3392 +2025-06-01 11:00:48,744 - pyskl - INFO - Epoch [119][1800/2353] lr: 2.581e-03, eta: 9:00:10, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.3018, loss: 1.3018 +2025-06-01 11:01:33,171 - pyskl - INFO - Epoch [119][1900/2353] lr: 2.574e-03, eta: 8:59:26, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.3706, loss: 1.3706 +2025-06-01 11:02:17,394 - pyskl - INFO - Epoch [119][2000/2353] lr: 2.567e-03, eta: 8:58:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.3839, loss: 1.3839 +2025-06-01 11:03:01,722 - pyskl - INFO - Epoch [119][2100/2353] lr: 2.560e-03, eta: 8:57:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.3827, loss: 1.3827 +2025-06-01 11:03:46,088 - pyskl - INFO - Epoch [119][2200/2353] lr: 2.554e-03, eta: 8:57:14, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.4269, loss: 1.4269 +2025-06-01 11:04:30,464 - pyskl - INFO - Epoch [119][2300/2353] lr: 2.547e-03, eta: 8:56:30, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.3919, loss: 1.3919 +2025-06-01 11:04:54,515 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-06-01 11:06:24,440 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 11:06:24,515 - pyskl - INFO - +top1_acc 0.9496 +top5_acc 0.9941 +2025-06-01 11:06:24,567 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_113.pth was removed +2025-06-01 11:06:25,580 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2025-06-01 11:06:25,581 - pyskl - INFO - Best top1_acc is 0.9496 at 119 epoch. +2025-06-01 11:06:25,583 - pyskl - INFO - Epoch(val) [119][1184] top1_acc: 0.9496, top5_acc: 0.9941 +2025-06-01 11:07:29,825 - pyskl - INFO - Epoch [120][100/2353] lr: 2.537e-03, eta: 8:55:22, time: 0.642, data_time: 0.201, memory: 13127, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.3212, loss: 1.3212 +2025-06-01 11:08:14,058 - pyskl - INFO - Epoch [120][200/2353] lr: 2.530e-03, eta: 8:54:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2771, loss: 1.2771 +2025-06-01 11:08:58,260 - pyskl - INFO - Epoch [120][300/2353] lr: 2.523e-03, eta: 8:53:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.2770, loss: 1.2770 +2025-06-01 11:09:42,438 - pyskl - INFO - Epoch [120][400/2353] lr: 2.517e-03, eta: 8:53:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3032, loss: 1.3032 +2025-06-01 11:10:26,720 - pyskl - INFO - Epoch [120][500/2353] lr: 2.510e-03, eta: 8:52:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3217, loss: 1.3217 +2025-06-01 11:11:10,855 - pyskl - INFO - Epoch [120][600/2353] lr: 2.503e-03, eta: 8:51:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.3609, loss: 1.3609 +2025-06-01 11:11:55,014 - pyskl - INFO - Epoch [120][700/2353] lr: 2.497e-03, eta: 8:50:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.3448, loss: 1.3448 +2025-06-01 11:12:39,243 - pyskl - INFO - Epoch [120][800/2353] lr: 2.490e-03, eta: 8:50:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.3301, loss: 1.3301 +2025-06-01 11:13:23,421 - pyskl - INFO - Epoch [120][900/2353] lr: 2.483e-03, eta: 8:49:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.3619, loss: 1.3619 +2025-06-01 11:14:07,706 - pyskl - INFO - Epoch [120][1000/2353] lr: 2.477e-03, eta: 8:48:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.2602, loss: 1.2602 +2025-06-01 11:14:51,924 - pyskl - INFO - Epoch [120][1100/2353] lr: 2.470e-03, eta: 8:48:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3295, loss: 1.3295 +2025-06-01 11:15:36,076 - pyskl - INFO - Epoch [120][1200/2353] lr: 2.463e-03, eta: 8:47:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.3619, loss: 1.3619 +2025-06-01 11:16:20,382 - pyskl - INFO - Epoch [120][1300/2353] lr: 2.457e-03, eta: 8:46:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3457, loss: 1.3457 +2025-06-01 11:17:04,595 - pyskl - INFO - Epoch [120][1400/2353] lr: 2.450e-03, eta: 8:45:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.3307, loss: 1.3307 +2025-06-01 11:17:48,830 - pyskl - INFO - Epoch [120][1500/2353] lr: 2.443e-03, eta: 8:45:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.2996, loss: 1.2996 +2025-06-01 11:18:32,953 - pyskl - INFO - Epoch [120][1600/2353] lr: 2.437e-03, eta: 8:44:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 1.3736, loss: 1.3736 +2025-06-01 11:19:17,105 - pyskl - INFO - Epoch [120][1700/2353] lr: 2.430e-03, eta: 8:43:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.3179, loss: 1.3179 +2025-06-01 11:20:01,225 - pyskl - INFO - Epoch [120][1800/2353] lr: 2.424e-03, eta: 8:42:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2657, loss: 1.2657 +2025-06-01 11:20:45,350 - pyskl - INFO - Epoch [120][1900/2353] lr: 2.417e-03, eta: 8:42:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.3450, loss: 1.3450 +2025-06-01 11:21:29,460 - pyskl - INFO - Epoch [120][2000/2353] lr: 2.410e-03, eta: 8:41:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.3362, loss: 1.3362 +2025-06-01 11:22:13,606 - pyskl - INFO - Epoch [120][2100/2353] lr: 2.404e-03, eta: 8:40:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.4004, loss: 1.4004 +2025-06-01 11:22:57,760 - pyskl - INFO - Epoch [120][2200/2353] lr: 2.397e-03, eta: 8:39:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.3633, loss: 1.3633 +2025-06-01 11:23:41,898 - pyskl - INFO - Epoch [120][2300/2353] lr: 2.391e-03, eta: 8:39:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3521, loss: 1.3521 +2025-06-01 11:24:05,881 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-06-01 11:32:46,614 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 11:32:46,694 - pyskl - INFO - +top1_acc 0.9485 +top5_acc 0.9939 +2025-06-01 11:32:46,698 - pyskl - INFO - Epoch(val) [120][1184] top1_acc: 0.9485, top5_acc: 0.9939 +2025-06-01 11:33:51,827 - pyskl - INFO - Epoch [121][100/2353] lr: 2.381e-03, eta: 8:38:04, time: 0.651, data_time: 0.208, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2528, loss: 1.2528 +2025-06-01 11:34:36,064 - pyskl - INFO - Epoch [121][200/2353] lr: 2.374e-03, eta: 8:37:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3105, loss: 1.3105 +2025-06-01 11:35:20,464 - pyskl - INFO - Epoch [121][300/2353] lr: 2.368e-03, eta: 8:36:36, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2512, loss: 1.2512 +2025-06-01 11:36:04,778 - pyskl - INFO - Epoch [121][400/2353] lr: 2.361e-03, eta: 8:35:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2717, loss: 1.2717 +2025-06-01 11:36:48,997 - pyskl - INFO - Epoch [121][500/2353] lr: 2.355e-03, eta: 8:35:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2030, loss: 1.2030 +2025-06-01 11:37:33,234 - pyskl - INFO - Epoch [121][600/2353] lr: 2.348e-03, eta: 8:34:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.2947, loss: 1.2947 +2025-06-01 11:38:17,473 - pyskl - INFO - Epoch [121][700/2353] lr: 2.342e-03, eta: 8:33:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.2429, loss: 1.2429 +2025-06-01 11:39:01,686 - pyskl - INFO - Epoch [121][800/2353] lr: 2.335e-03, eta: 8:32:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.2785, loss: 1.2785 +2025-06-01 11:39:45,975 - pyskl - INFO - Epoch [121][900/2353] lr: 2.329e-03, eta: 8:32:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2916, loss: 1.2916 +2025-06-01 11:40:30,252 - pyskl - INFO - Epoch [121][1000/2353] lr: 2.322e-03, eta: 8:31:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.2621, loss: 1.2621 +2025-06-01 11:41:14,629 - pyskl - INFO - Epoch [121][1100/2353] lr: 2.316e-03, eta: 8:30:43, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2754, loss: 1.2754 +2025-06-01 11:41:58,818 - pyskl - INFO - Epoch [121][1200/2353] lr: 2.309e-03, eta: 8:29:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2904, loss: 1.2904 +2025-06-01 11:42:43,065 - pyskl - INFO - Epoch [121][1300/2353] lr: 2.303e-03, eta: 8:29:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.3227, loss: 1.3227 +2025-06-01 11:43:27,415 - pyskl - INFO - Epoch [121][1400/2353] lr: 2.297e-03, eta: 8:28:31, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.2883, loss: 1.2883 +2025-06-01 11:44:11,728 - pyskl - INFO - Epoch [121][1500/2353] lr: 2.290e-03, eta: 8:27:47, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3077, loss: 1.3077 +2025-06-01 11:44:56,060 - pyskl - INFO - Epoch [121][1600/2353] lr: 2.284e-03, eta: 8:27:03, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.3117, loss: 1.3117 +2025-06-01 11:45:40,334 - pyskl - INFO - Epoch [121][1700/2353] lr: 2.277e-03, eta: 8:26:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.2782, loss: 1.2782 +2025-06-01 11:46:24,610 - pyskl - INFO - Epoch [121][1800/2353] lr: 2.271e-03, eta: 8:25:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 1.3531, loss: 1.3531 +2025-06-01 11:47:08,937 - pyskl - INFO - Epoch [121][1900/2353] lr: 2.265e-03, eta: 8:24:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.3097, loss: 1.3097 +2025-06-01 11:47:53,196 - pyskl - INFO - Epoch [121][2000/2353] lr: 2.258e-03, eta: 8:24:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.3030, loss: 1.3030 +2025-06-01 11:48:37,387 - pyskl - INFO - Epoch [121][2100/2353] lr: 2.252e-03, eta: 8:23:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.3445, loss: 1.3445 +2025-06-01 11:49:21,633 - pyskl - INFO - Epoch [121][2200/2353] lr: 2.245e-03, eta: 8:22:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.2999, loss: 1.2999 +2025-06-01 11:50:06,126 - pyskl - INFO - Epoch [121][2300/2353] lr: 2.239e-03, eta: 8:21:55, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 1.3456, loss: 1.3456 +2025-06-01 11:50:30,233 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-06-01 11:51:59,623 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 11:51:59,699 - pyskl - INFO - +top1_acc 0.9477 +top5_acc 0.9949 +2025-06-01 11:51:59,702 - pyskl - INFO - Epoch(val) [121][1184] top1_acc: 0.9477, top5_acc: 0.9949 +2025-06-01 11:53:04,519 - pyskl - INFO - Epoch [122][100/2353] lr: 2.229e-03, eta: 8:20:47, time: 0.648, data_time: 0.207, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2836, loss: 1.2836 +2025-06-01 11:53:48,652 - pyskl - INFO - Epoch [122][200/2353] lr: 2.223e-03, eta: 8:20:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2774, loss: 1.2774 +2025-06-01 11:54:32,639 - pyskl - INFO - Epoch [122][300/2353] lr: 2.217e-03, eta: 8:19:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2541, loss: 1.2541 +2025-06-01 11:55:16,641 - pyskl - INFO - Epoch [122][400/2353] lr: 2.210e-03, eta: 8:18:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2162, loss: 1.2162 +2025-06-01 11:56:00,619 - pyskl - INFO - Epoch [122][500/2353] lr: 2.204e-03, eta: 8:17:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.3073, loss: 1.3073 +2025-06-01 11:56:44,553 - pyskl - INFO - Epoch [122][600/2353] lr: 2.198e-03, eta: 8:17:06, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.2799, loss: 1.2799 +2025-06-01 11:57:28,527 - pyskl - INFO - Epoch [122][700/2353] lr: 2.191e-03, eta: 8:16:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.2706, loss: 1.2706 +2025-06-01 11:58:12,503 - pyskl - INFO - Epoch [122][800/2353] lr: 2.185e-03, eta: 8:15:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.3182, loss: 1.3182 +2025-06-01 11:58:56,409 - pyskl - INFO - Epoch [122][900/2353] lr: 2.179e-03, eta: 8:14:54, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3218, loss: 1.3218 +2025-06-01 11:59:40,384 - pyskl - INFO - Epoch [122][1000/2353] lr: 2.173e-03, eta: 8:14:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.2555, loss: 1.2555 +2025-06-01 12:00:24,212 - pyskl - INFO - Epoch [122][1100/2353] lr: 2.166e-03, eta: 8:13:25, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2731, loss: 1.2731 +2025-06-01 12:01:08,095 - pyskl - INFO - Epoch [122][1200/2353] lr: 2.160e-03, eta: 8:12:41, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.2802, loss: 1.2802 +2025-06-01 12:01:52,266 - pyskl - INFO - Epoch [122][1300/2353] lr: 2.154e-03, eta: 8:11:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.3712, loss: 1.3712 +2025-06-01 12:02:36,441 - pyskl - INFO - Epoch [122][1400/2353] lr: 2.148e-03, eta: 8:11:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.2930, loss: 1.2930 +2025-06-01 12:03:20,376 - pyskl - INFO - Epoch [122][1500/2353] lr: 2.141e-03, eta: 8:10:29, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2593, loss: 1.2593 +2025-06-01 12:04:04,344 - pyskl - INFO - Epoch [122][1600/2353] lr: 2.135e-03, eta: 8:09:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.2721, loss: 1.2721 +2025-06-01 12:04:48,393 - pyskl - INFO - Epoch [122][1700/2353] lr: 2.129e-03, eta: 8:09:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.2847, loss: 1.2847 +2025-06-01 12:05:32,469 - pyskl - INFO - Epoch [122][1800/2353] lr: 2.123e-03, eta: 8:08:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.3315, loss: 1.3315 +2025-06-01 12:06:16,518 - pyskl - INFO - Epoch [122][1900/2353] lr: 2.117e-03, eta: 8:07:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2874, loss: 1.2874 +2025-06-01 12:07:00,631 - pyskl - INFO - Epoch [122][2000/2353] lr: 2.110e-03, eta: 8:06:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2097, loss: 1.2097 +2025-06-01 12:07:44,645 - pyskl - INFO - Epoch [122][2100/2353] lr: 2.104e-03, eta: 8:06:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.2766, loss: 1.2766 +2025-06-01 12:08:29,029 - pyskl - INFO - Epoch [122][2200/2353] lr: 2.098e-03, eta: 8:05:20, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2922, loss: 1.2922 +2025-06-01 12:09:13,129 - pyskl - INFO - Epoch [122][2300/2353] lr: 2.092e-03, eta: 8:04:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3007, loss: 1.3007 +2025-06-01 12:09:37,098 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-06-01 12:11:05,997 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 12:11:06,073 - pyskl - INFO - +top1_acc 0.9511 +top5_acc 0.9940 +2025-06-01 12:11:06,124 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_119.pth was removed +2025-06-01 12:11:07,146 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2025-06-01 12:11:07,146 - pyskl - INFO - Best top1_acc is 0.9511 at 122 epoch. +2025-06-01 12:11:07,150 - pyskl - INFO - Epoch(val) [122][1184] top1_acc: 0.9511, top5_acc: 0.9940 +2025-06-01 12:12:11,701 - pyskl - INFO - Epoch [123][100/2353] lr: 2.082e-03, eta: 8:03:28, time: 0.645, data_time: 0.203, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2750, loss: 1.2750 +2025-06-01 12:12:55,960 - pyskl - INFO - Epoch [123][200/2353] lr: 2.076e-03, eta: 8:02:44, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1761, loss: 1.1761 +2025-06-01 12:13:40,295 - pyskl - INFO - Epoch [123][300/2353] lr: 2.070e-03, eta: 8:02:00, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.2324, loss: 1.2324 +2025-06-01 12:14:24,600 - pyskl - INFO - Epoch [123][400/2353] lr: 2.064e-03, eta: 8:01:16, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2380, loss: 1.2380 +2025-06-01 12:15:08,913 - pyskl - INFO - Epoch [123][500/2353] lr: 2.058e-03, eta: 8:00:32, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2505, loss: 1.2505 +2025-06-01 12:15:53,200 - pyskl - INFO - Epoch [123][600/2353] lr: 2.052e-03, eta: 7:59:48, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2052, loss: 1.2052 +2025-06-01 12:16:37,464 - pyskl - INFO - Epoch [123][700/2353] lr: 2.046e-03, eta: 7:59:04, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.2519, loss: 1.2519 +2025-06-01 12:17:21,798 - pyskl - INFO - Epoch [123][800/2353] lr: 2.040e-03, eta: 7:58:20, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2276, loss: 1.2276 +2025-06-01 12:18:06,111 - pyskl - INFO - Epoch [123][900/2353] lr: 2.033e-03, eta: 7:57:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2182, loss: 1.2182 +2025-06-01 12:18:50,404 - pyskl - INFO - Epoch [123][1000/2353] lr: 2.027e-03, eta: 7:56:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2334, loss: 1.2334 +2025-06-01 12:19:34,990 - pyskl - INFO - Epoch [123][1100/2353] lr: 2.021e-03, eta: 7:56:07, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.1964, loss: 1.1964 +2025-06-01 12:20:19,673 - pyskl - INFO - Epoch [123][1200/2353] lr: 2.015e-03, eta: 7:55:23, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2503, loss: 1.2503 +2025-06-01 12:21:04,020 - pyskl - INFO - Epoch [123][1300/2353] lr: 2.009e-03, eta: 7:54:39, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2600, loss: 1.2600 +2025-06-01 12:21:48,494 - pyskl - INFO - Epoch [123][1400/2353] lr: 2.003e-03, eta: 7:53:55, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2049, loss: 1.2049 +2025-06-01 12:22:32,813 - pyskl - INFO - Epoch [123][1500/2353] lr: 1.997e-03, eta: 7:53:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2178, loss: 1.2178 +2025-06-01 12:23:17,152 - pyskl - INFO - Epoch [123][1600/2353] lr: 1.991e-03, eta: 7:52:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2074, loss: 1.2074 +2025-06-01 12:24:01,817 - pyskl - INFO - Epoch [123][1700/2353] lr: 1.985e-03, eta: 7:51:43, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.2339, loss: 1.2339 +2025-06-01 12:24:46,189 - pyskl - INFO - Epoch [123][1800/2353] lr: 1.979e-03, eta: 7:50:59, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.2401, loss: 1.2401 +2025-06-01 12:25:30,439 - pyskl - INFO - Epoch [123][1900/2353] lr: 1.973e-03, eta: 7:50:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2565, loss: 1.2565 +2025-06-01 12:26:14,791 - pyskl - INFO - Epoch [123][2000/2353] lr: 1.967e-03, eta: 7:49:31, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2276, loss: 1.2276 +2025-06-01 12:26:59,031 - pyskl - INFO - Epoch [123][2100/2353] lr: 1.961e-03, eta: 7:48:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2324, loss: 1.2324 +2025-06-01 12:27:43,393 - pyskl - INFO - Epoch [123][2200/2353] lr: 1.955e-03, eta: 7:48:03, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2565, loss: 1.2565 +2025-06-01 12:28:27,771 - pyskl - INFO - Epoch [123][2300/2353] lr: 1.949e-03, eta: 7:47:19, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2226, loss: 1.2226 +2025-06-01 12:28:51,893 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-06-01 12:30:21,488 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 12:30:21,565 - pyskl - INFO - +top1_acc 0.9548 +top5_acc 0.9951 +2025-06-01 12:30:21,620 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_122.pth was removed +2025-06-01 12:30:22,683 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. +2025-06-01 12:30:22,684 - pyskl - INFO - Best top1_acc is 0.9548 at 123 epoch. +2025-06-01 12:30:22,687 - pyskl - INFO - Epoch(val) [123][1184] top1_acc: 0.9548, top5_acc: 0.9951 +2025-06-01 12:31:27,605 - pyskl - INFO - Epoch [124][100/2353] lr: 1.940e-03, eta: 7:46:11, time: 0.649, data_time: 0.207, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2480, loss: 1.2480 +2025-06-01 12:32:11,897 - pyskl - INFO - Epoch [124][200/2353] lr: 1.934e-03, eta: 7:45:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1966, loss: 1.1966 +2025-06-01 12:32:56,261 - pyskl - INFO - Epoch [124][300/2353] lr: 1.928e-03, eta: 7:44:43, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2324, loss: 1.2324 +2025-06-01 12:33:40,473 - pyskl - INFO - Epoch [124][400/2353] lr: 1.922e-03, eta: 7:43:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2354, loss: 1.2354 +2025-06-01 12:34:24,730 - pyskl - INFO - Epoch [124][500/2353] lr: 1.916e-03, eta: 7:43:15, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2499, loss: 1.2499 +2025-06-01 12:35:08,982 - pyskl - INFO - Epoch [124][600/2353] lr: 1.910e-03, eta: 7:42:31, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1890, loss: 1.1890 +2025-06-01 12:35:53,122 - pyskl - INFO - Epoch [124][700/2353] lr: 1.904e-03, eta: 7:41:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.2547, loss: 1.2547 +2025-06-01 12:36:37,438 - pyskl - INFO - Epoch [124][800/2353] lr: 1.899e-03, eta: 7:41:03, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1856, loss: 1.1856 +2025-06-01 12:37:21,552 - pyskl - INFO - Epoch [124][900/2353] lr: 1.893e-03, eta: 7:40:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.2402, loss: 1.2402 +2025-06-01 12:38:05,613 - pyskl - INFO - Epoch [124][1000/2353] lr: 1.887e-03, eta: 7:39:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2435, loss: 1.2435 +2025-06-01 12:38:49,381 - pyskl - INFO - Epoch [124][1100/2353] lr: 1.881e-03, eta: 7:38:50, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2396, loss: 1.2396 +2025-06-01 12:39:33,433 - pyskl - INFO - Epoch [124][1200/2353] lr: 1.875e-03, eta: 7:38:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.2342, loss: 1.2342 +2025-06-01 12:40:17,670 - pyskl - INFO - Epoch [124][1300/2353] lr: 1.869e-03, eta: 7:37:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2042, loss: 1.2042 +2025-06-01 12:41:01,807 - pyskl - INFO - Epoch [124][1400/2353] lr: 1.863e-03, eta: 7:36:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2074, loss: 1.2074 +2025-06-01 12:41:45,921 - pyskl - INFO - Epoch [124][1500/2353] lr: 1.857e-03, eta: 7:35:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1660, loss: 1.1660 +2025-06-01 12:42:30,005 - pyskl - INFO - Epoch [124][1600/2353] lr: 1.852e-03, eta: 7:35:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2222, loss: 1.2222 +2025-06-01 12:43:14,229 - pyskl - INFO - Epoch [124][1700/2353] lr: 1.846e-03, eta: 7:34:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2187, loss: 1.2187 +2025-06-01 12:43:58,577 - pyskl - INFO - Epoch [124][1800/2353] lr: 1.840e-03, eta: 7:33:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2057, loss: 1.2057 +2025-06-01 12:44:42,908 - pyskl - INFO - Epoch [124][1900/2353] lr: 1.834e-03, eta: 7:32:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2128, loss: 1.2128 +2025-06-01 12:45:27,144 - pyskl - INFO - Epoch [124][2000/2353] lr: 1.828e-03, eta: 7:32:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.2210, loss: 1.2210 +2025-06-01 12:46:11,384 - pyskl - INFO - Epoch [124][2100/2353] lr: 1.823e-03, eta: 7:31:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1744, loss: 1.1744 +2025-06-01 12:46:55,585 - pyskl - INFO - Epoch [124][2200/2353] lr: 1.817e-03, eta: 7:30:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2559, loss: 1.2559 +2025-06-01 12:47:39,813 - pyskl - INFO - Epoch [124][2300/2353] lr: 1.811e-03, eta: 7:30:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2467, loss: 1.2467 +2025-06-01 12:48:03,766 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-06-01 12:49:32,792 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 12:49:32,869 - pyskl - INFO - +top1_acc 0.9526 +top5_acc 0.9951 +2025-06-01 12:49:32,872 - pyskl - INFO - Epoch(val) [124][1184] top1_acc: 0.9526, top5_acc: 0.9951 +2025-06-01 12:50:37,754 - pyskl - INFO - Epoch [125][100/2353] lr: 1.802e-03, eta: 7:28:53, time: 0.649, data_time: 0.207, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2023, loss: 1.2023 +2025-06-01 12:51:21,897 - pyskl - INFO - Epoch [125][200/2353] lr: 1.796e-03, eta: 7:28:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1874, loss: 1.1874 +2025-06-01 12:52:06,022 - pyskl - INFO - Epoch [125][300/2353] lr: 1.791e-03, eta: 7:27:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1953, loss: 1.1953 +2025-06-01 12:52:50,133 - pyskl - INFO - Epoch [125][400/2353] lr: 1.785e-03, eta: 7:26:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1665, loss: 1.1665 +2025-06-01 12:53:34,309 - pyskl - INFO - Epoch [125][500/2353] lr: 1.779e-03, eta: 7:25:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1601, loss: 1.1601 +2025-06-01 12:54:18,556 - pyskl - INFO - Epoch [125][600/2353] lr: 1.774e-03, eta: 7:25:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2552, loss: 1.2552 +2025-06-01 12:55:02,658 - pyskl - INFO - Epoch [125][700/2353] lr: 1.768e-03, eta: 7:24:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2046, loss: 1.2046 +2025-06-01 12:55:46,677 - pyskl - INFO - Epoch [125][800/2353] lr: 1.762e-03, eta: 7:23:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1879, loss: 1.1879 +2025-06-01 12:56:30,730 - pyskl - INFO - Epoch [125][900/2353] lr: 1.756e-03, eta: 7:23:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2253, loss: 1.2253 +2025-06-01 12:57:14,901 - pyskl - INFO - Epoch [125][1000/2353] lr: 1.751e-03, eta: 7:22:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2215, loss: 1.2215 +2025-06-01 12:57:58,972 - pyskl - INFO - Epoch [125][1100/2353] lr: 1.745e-03, eta: 7:21:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2086, loss: 1.2086 +2025-06-01 12:58:43,153 - pyskl - INFO - Epoch [125][1200/2353] lr: 1.739e-03, eta: 7:20:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1768, loss: 1.1768 +2025-06-01 12:59:27,337 - pyskl - INFO - Epoch [125][1300/2353] lr: 1.734e-03, eta: 7:20:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1793, loss: 1.1793 +2025-06-01 13:00:11,457 - pyskl - INFO - Epoch [125][1400/2353] lr: 1.728e-03, eta: 7:19:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2087, loss: 1.2087 +2025-06-01 13:00:55,546 - pyskl - INFO - Epoch [125][1500/2353] lr: 1.723e-03, eta: 7:18:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1832, loss: 1.1832 +2025-06-01 13:01:39,701 - pyskl - INFO - Epoch [125][1600/2353] lr: 1.717e-03, eta: 7:17:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2021, loss: 1.2021 +2025-06-01 13:02:23,867 - pyskl - INFO - Epoch [125][1700/2353] lr: 1.711e-03, eta: 7:17:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1616, loss: 1.1616 +2025-06-01 13:03:08,032 - pyskl - INFO - Epoch [125][1800/2353] lr: 1.706e-03, eta: 7:16:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.2293, loss: 1.2293 +2025-06-01 13:03:52,245 - pyskl - INFO - Epoch [125][1900/2353] lr: 1.700e-03, eta: 7:15:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2009, loss: 1.2009 +2025-06-01 13:04:36,459 - pyskl - INFO - Epoch [125][2000/2353] lr: 1.694e-03, eta: 7:14:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1624, loss: 1.1624 +2025-06-01 13:05:20,684 - pyskl - INFO - Epoch [125][2100/2353] lr: 1.689e-03, eta: 7:14:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2371, loss: 1.2371 +2025-06-01 13:06:04,882 - pyskl - INFO - Epoch [125][2200/2353] lr: 1.683e-03, eta: 7:13:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1961, loss: 1.1961 +2025-06-01 13:06:49,156 - pyskl - INFO - Epoch [125][2300/2353] lr: 1.678e-03, eta: 7:12:43, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2041, loss: 1.2041 +2025-06-01 13:07:13,066 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-06-01 13:16:06,402 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 13:16:06,478 - pyskl - INFO - +top1_acc 0.9527 +top5_acc 0.9944 +2025-06-01 13:16:06,482 - pyskl - INFO - Epoch(val) [125][1184] top1_acc: 0.9527, top5_acc: 0.9944 +2025-06-01 13:17:11,417 - pyskl - INFO - Epoch [126][100/2353] lr: 1.669e-03, eta: 7:11:35, time: 0.649, data_time: 0.206, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1764, loss: 1.1764 +2025-06-01 13:17:55,662 - pyskl - INFO - Epoch [126][200/2353] lr: 1.664e-03, eta: 7:10:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1848, loss: 1.1848 +2025-06-01 13:18:39,980 - pyskl - INFO - Epoch [126][300/2353] lr: 1.658e-03, eta: 7:10:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1509, loss: 1.1509 +2025-06-01 13:19:24,331 - pyskl - INFO - Epoch [126][400/2353] lr: 1.653e-03, eta: 7:09:23, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1893, loss: 1.1893 +2025-06-01 13:20:08,679 - pyskl - INFO - Epoch [126][500/2353] lr: 1.647e-03, eta: 7:08:39, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2136, loss: 1.2136 +2025-06-01 13:20:53,025 - pyskl - INFO - Epoch [126][600/2353] lr: 1.642e-03, eta: 7:07:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1879, loss: 1.1879 +2025-06-01 13:21:37,357 - pyskl - INFO - Epoch [126][700/2353] lr: 1.636e-03, eta: 7:07:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1744, loss: 1.1744 +2025-06-01 13:22:21,687 - pyskl - INFO - Epoch [126][800/2353] lr: 1.631e-03, eta: 7:06:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1524, loss: 1.1524 +2025-06-01 13:23:05,984 - pyskl - INFO - Epoch [126][900/2353] lr: 1.625e-03, eta: 7:05:43, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1434, loss: 1.1434 +2025-06-01 13:23:50,309 - pyskl - INFO - Epoch [126][1000/2353] lr: 1.620e-03, eta: 7:04:59, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1434, loss: 1.1434 +2025-06-01 13:24:34,672 - pyskl - INFO - Epoch [126][1100/2353] lr: 1.614e-03, eta: 7:04:15, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2151, loss: 1.2151 +2025-06-01 13:25:18,986 - pyskl - INFO - Epoch [126][1200/2353] lr: 1.609e-03, eta: 7:03:31, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2014, loss: 1.2014 +2025-06-01 13:26:03,267 - pyskl - INFO - Epoch [126][1300/2353] lr: 1.603e-03, eta: 7:02:47, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1742, loss: 1.1742 +2025-06-01 13:26:47,506 - pyskl - INFO - Epoch [126][1400/2353] lr: 1.598e-03, eta: 7:02:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1888, loss: 1.1888 +2025-06-01 13:27:31,873 - pyskl - INFO - Epoch [126][1500/2353] lr: 1.592e-03, eta: 7:01:19, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1857, loss: 1.1857 +2025-06-01 13:28:16,169 - pyskl - INFO - Epoch [126][1600/2353] lr: 1.587e-03, eta: 7:00:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1396, loss: 1.1396 +2025-06-01 13:29:00,399 - pyskl - INFO - Epoch [126][1700/2353] lr: 1.581e-03, eta: 6:59:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1506, loss: 1.1506 +2025-06-01 13:29:44,611 - pyskl - INFO - Epoch [126][1800/2353] lr: 1.576e-03, eta: 6:59:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2069, loss: 1.2069 +2025-06-01 13:30:28,888 - pyskl - INFO - Epoch [126][1900/2353] lr: 1.571e-03, eta: 6:58:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2019, loss: 1.2019 +2025-06-01 13:31:13,244 - pyskl - INFO - Epoch [126][2000/2353] lr: 1.565e-03, eta: 6:57:38, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1739, loss: 1.1739 +2025-06-01 13:31:57,526 - pyskl - INFO - Epoch [126][2100/2353] lr: 1.560e-03, eta: 6:56:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2152, loss: 1.2152 +2025-06-01 13:32:41,892 - pyskl - INFO - Epoch [126][2200/2353] lr: 1.554e-03, eta: 6:56:10, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.1880, loss: 1.1880 +2025-06-01 13:33:26,152 - pyskl - INFO - Epoch [126][2300/2353] lr: 1.549e-03, eta: 6:55:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1786, loss: 1.1786 +2025-06-01 13:33:50,206 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-06-01 13:35:19,661 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 13:35:19,737 - pyskl - INFO - +top1_acc 0.9582 +top5_acc 0.9954 +2025-06-01 13:35:19,787 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_123.pth was removed +2025-06-01 13:35:20,750 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. +2025-06-01 13:35:20,751 - pyskl - INFO - Best top1_acc is 0.9582 at 126 epoch. +2025-06-01 13:35:20,754 - pyskl - INFO - Epoch(val) [126][1184] top1_acc: 0.9582, top5_acc: 0.9954 +2025-06-01 13:36:25,377 - pyskl - INFO - Epoch [127][100/2353] lr: 1.541e-03, eta: 6:54:18, time: 0.646, data_time: 0.205, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2078, loss: 1.2078 +2025-06-01 13:37:09,590 - pyskl - INFO - Epoch [127][200/2353] lr: 1.536e-03, eta: 6:53:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1561, loss: 1.1561 +2025-06-01 13:37:53,893 - pyskl - INFO - Epoch [127][300/2353] lr: 1.530e-03, eta: 6:52:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1545, loss: 1.1545 +2025-06-01 13:38:38,117 - pyskl - INFO - Epoch [127][400/2353] lr: 1.525e-03, eta: 6:52:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1389, loss: 1.1389 +2025-06-01 13:39:22,222 - pyskl - INFO - Epoch [127][500/2353] lr: 1.520e-03, eta: 6:51:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1793, loss: 1.1793 +2025-06-01 13:40:06,352 - pyskl - INFO - Epoch [127][600/2353] lr: 1.514e-03, eta: 6:50:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1738, loss: 1.1738 +2025-06-01 13:40:50,480 - pyskl - INFO - Epoch [127][700/2353] lr: 1.509e-03, eta: 6:49:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1744, loss: 1.1744 +2025-06-01 13:41:34,594 - pyskl - INFO - Epoch [127][800/2353] lr: 1.504e-03, eta: 6:49:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1621, loss: 1.1621 +2025-06-01 13:42:18,846 - pyskl - INFO - Epoch [127][900/2353] lr: 1.498e-03, eta: 6:48:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1096, loss: 1.1096 +2025-06-01 13:43:03,268 - pyskl - INFO - Epoch [127][1000/2353] lr: 1.493e-03, eta: 6:47:41, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1562, loss: 1.1562 +2025-06-01 13:43:47,319 - pyskl - INFO - Epoch [127][1100/2353] lr: 1.488e-03, eta: 6:46:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.0999, loss: 1.0999 +2025-06-01 13:44:31,609 - pyskl - INFO - Epoch [127][1200/2353] lr: 1.483e-03, eta: 6:46:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1834, loss: 1.1834 +2025-06-01 13:45:15,829 - pyskl - INFO - Epoch [127][1300/2353] lr: 1.477e-03, eta: 6:45:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1746, loss: 1.1746 +2025-06-01 13:46:00,059 - pyskl - INFO - Epoch [127][1400/2353] lr: 1.472e-03, eta: 6:44:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1842, loss: 1.1842 +2025-06-01 13:46:44,288 - pyskl - INFO - Epoch [127][1500/2353] lr: 1.467e-03, eta: 6:44:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1618, loss: 1.1618 +2025-06-01 13:47:28,492 - pyskl - INFO - Epoch [127][1600/2353] lr: 1.462e-03, eta: 6:43:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1731, loss: 1.1731 +2025-06-01 13:48:12,632 - pyskl - INFO - Epoch [127][1700/2353] lr: 1.456e-03, eta: 6:42:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1617, loss: 1.1617 +2025-06-01 13:48:56,772 - pyskl - INFO - Epoch [127][1800/2353] lr: 1.451e-03, eta: 6:41:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1349, loss: 1.1349 +2025-06-01 13:49:40,988 - pyskl - INFO - Epoch [127][1900/2353] lr: 1.446e-03, eta: 6:41:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1550, loss: 1.1550 +2025-06-01 13:50:25,244 - pyskl - INFO - Epoch [127][2000/2353] lr: 1.441e-03, eta: 6:40:21, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1529, loss: 1.1529 +2025-06-01 13:51:09,403 - pyskl - INFO - Epoch [127][2100/2353] lr: 1.436e-03, eta: 6:39:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1620, loss: 1.1620 +2025-06-01 13:51:53,548 - pyskl - INFO - Epoch [127][2200/2353] lr: 1.430e-03, eta: 6:38:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1848, loss: 1.1848 +2025-06-01 13:52:37,739 - pyskl - INFO - Epoch [127][2300/2353] lr: 1.425e-03, eta: 6:38:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1222, loss: 1.1222 +2025-06-01 13:53:01,616 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-06-01 13:54:30,171 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 13:54:30,245 - pyskl - INFO - +top1_acc 0.9570 +top5_acc 0.9951 +2025-06-01 13:54:30,249 - pyskl - INFO - Epoch(val) [127][1184] top1_acc: 0.9570, top5_acc: 0.9951 +2025-06-01 13:55:34,668 - pyskl - INFO - Epoch [128][100/2353] lr: 1.417e-03, eta: 6:37:00, time: 0.644, data_time: 0.204, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1556, loss: 1.1556 +2025-06-01 13:56:18,655 - pyskl - INFO - Epoch [128][200/2353] lr: 1.412e-03, eta: 6:36:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1375, loss: 1.1375 +2025-06-01 13:57:02,715 - pyskl - INFO - Epoch [128][300/2353] lr: 1.407e-03, eta: 6:35:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1074, loss: 1.1074 +2025-06-01 13:57:46,972 - pyskl - INFO - Epoch [128][400/2353] lr: 1.402e-03, eta: 6:34:48, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1223, loss: 1.1223 +2025-06-01 13:58:30,996 - pyskl - INFO - Epoch [128][500/2353] lr: 1.397e-03, eta: 6:34:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1308, loss: 1.1308 +2025-06-01 13:59:15,337 - pyskl - INFO - Epoch [128][600/2353] lr: 1.392e-03, eta: 6:33:20, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1330, loss: 1.1330 +2025-06-01 13:59:59,519 - pyskl - INFO - Epoch [128][700/2353] lr: 1.387e-03, eta: 6:32:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1191, loss: 1.1191 +2025-06-01 14:00:43,784 - pyskl - INFO - Epoch [128][800/2353] lr: 1.382e-03, eta: 6:31:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1624, loss: 1.1624 +2025-06-01 14:01:27,934 - pyskl - INFO - Epoch [128][900/2353] lr: 1.376e-03, eta: 6:31:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1209, loss: 1.1209 +2025-06-01 14:02:12,045 - pyskl - INFO - Epoch [128][1000/2353] lr: 1.371e-03, eta: 6:30:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1521, loss: 1.1521 +2025-06-01 14:02:56,097 - pyskl - INFO - Epoch [128][1100/2353] lr: 1.366e-03, eta: 6:29:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1392, loss: 1.1392 +2025-06-01 14:03:40,178 - pyskl - INFO - Epoch [128][1200/2353] lr: 1.361e-03, eta: 6:28:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1452, loss: 1.1452 +2025-06-01 14:04:24,217 - pyskl - INFO - Epoch [128][1300/2353] lr: 1.356e-03, eta: 6:28:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1828, loss: 1.1828 +2025-06-01 14:05:08,242 - pyskl - INFO - Epoch [128][1400/2353] lr: 1.351e-03, eta: 6:27:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1257, loss: 1.1257 +2025-06-01 14:05:52,232 - pyskl - INFO - Epoch [128][1500/2353] lr: 1.346e-03, eta: 6:26:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1559, loss: 1.1559 +2025-06-01 14:06:36,242 - pyskl - INFO - Epoch [128][1600/2353] lr: 1.341e-03, eta: 6:25:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1190, loss: 1.1190 +2025-06-01 14:07:20,184 - pyskl - INFO - Epoch [128][1700/2353] lr: 1.336e-03, eta: 6:25:15, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1088, loss: 1.1088 +2025-06-01 14:08:04,138 - pyskl - INFO - Epoch [128][1800/2353] lr: 1.331e-03, eta: 6:24:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1548, loss: 1.1548 +2025-06-01 14:08:48,190 - pyskl - INFO - Epoch [128][1900/2353] lr: 1.326e-03, eta: 6:23:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1674, loss: 1.1674 +2025-06-01 14:09:32,257 - pyskl - INFO - Epoch [128][2000/2353] lr: 1.321e-03, eta: 6:23:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1425, loss: 1.1425 +2025-06-01 14:10:16,248 - pyskl - INFO - Epoch [128][2100/2353] lr: 1.316e-03, eta: 6:22:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1190, loss: 1.1190 +2025-06-01 14:11:00,269 - pyskl - INFO - Epoch [128][2200/2353] lr: 1.311e-03, eta: 6:21:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1695, loss: 1.1695 +2025-06-01 14:11:44,309 - pyskl - INFO - Epoch [128][2300/2353] lr: 1.306e-03, eta: 6:20:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1775, loss: 1.1775 +2025-06-01 14:12:08,241 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-06-01 14:13:37,432 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 14:13:37,507 - pyskl - INFO - +top1_acc 0.9519 +top5_acc 0.9943 +2025-06-01 14:13:37,510 - pyskl - INFO - Epoch(val) [128][1184] top1_acc: 0.9519, top5_acc: 0.9943 +2025-06-01 14:14:42,097 - pyskl - INFO - Epoch [129][100/2353] lr: 1.299e-03, eta: 6:19:42, time: 0.646, data_time: 0.204, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1653, loss: 1.1653 +2025-06-01 14:15:26,205 - pyskl - INFO - Epoch [129][200/2353] lr: 1.294e-03, eta: 6:18:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1158, loss: 1.1158 +2025-06-01 14:16:10,523 - pyskl - INFO - Epoch [129][300/2353] lr: 1.289e-03, eta: 6:18:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1178, loss: 1.1178 +2025-06-01 14:16:54,686 - pyskl - INFO - Epoch [129][400/2353] lr: 1.284e-03, eta: 6:17:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1141, loss: 1.1141 +2025-06-01 14:17:38,709 - pyskl - INFO - Epoch [129][500/2353] lr: 1.279e-03, eta: 6:16:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1326, loss: 1.1326 +2025-06-01 14:18:22,730 - pyskl - INFO - Epoch [129][600/2353] lr: 1.274e-03, eta: 6:16:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1292, loss: 1.1292 +2025-06-01 14:19:06,802 - pyskl - INFO - Epoch [129][700/2353] lr: 1.269e-03, eta: 6:15:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1532, loss: 1.1532 +2025-06-01 14:19:51,006 - pyskl - INFO - Epoch [129][800/2353] lr: 1.264e-03, eta: 6:14:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1682, loss: 1.1682 +2025-06-01 14:20:35,081 - pyskl - INFO - Epoch [129][900/2353] lr: 1.259e-03, eta: 6:13:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1290, loss: 1.1290 +2025-06-01 14:21:19,197 - pyskl - INFO - Epoch [129][1000/2353] lr: 1.255e-03, eta: 6:13:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1353, loss: 1.1353 +2025-06-01 14:22:03,383 - pyskl - INFO - Epoch [129][1100/2353] lr: 1.250e-03, eta: 6:12:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1272, loss: 1.1272 +2025-06-01 14:22:47,542 - pyskl - INFO - Epoch [129][1200/2353] lr: 1.245e-03, eta: 6:11:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1231, loss: 1.1231 +2025-06-01 14:23:31,697 - pyskl - INFO - Epoch [129][1300/2353] lr: 1.240e-03, eta: 6:10:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1145, loss: 1.1145 +2025-06-01 14:24:15,762 - pyskl - INFO - Epoch [129][1400/2353] lr: 1.235e-03, eta: 6:10:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1097, loss: 1.1097 +2025-06-01 14:24:59,980 - pyskl - INFO - Epoch [129][1500/2353] lr: 1.230e-03, eta: 6:09:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1261, loss: 1.1261 +2025-06-01 14:25:44,084 - pyskl - INFO - Epoch [129][1600/2353] lr: 1.226e-03, eta: 6:08:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1572, loss: 1.1572 +2025-06-01 14:26:27,989 - pyskl - INFO - Epoch [129][1700/2353] lr: 1.221e-03, eta: 6:07:57, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1285, loss: 1.1285 +2025-06-01 14:27:12,037 - pyskl - INFO - Epoch [129][1800/2353] lr: 1.216e-03, eta: 6:07:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1397, loss: 1.1397 +2025-06-01 14:27:56,113 - pyskl - INFO - Epoch [129][1900/2353] lr: 1.211e-03, eta: 6:06:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1279, loss: 1.1279 +2025-06-01 14:28:40,394 - pyskl - INFO - Epoch [129][2000/2353] lr: 1.206e-03, eta: 6:05:44, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1411, loss: 1.1411 +2025-06-01 14:29:24,324 - pyskl - INFO - Epoch [129][2100/2353] lr: 1.202e-03, eta: 6:05:00, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1203, loss: 1.1203 +2025-06-01 14:30:08,394 - pyskl - INFO - Epoch [129][2200/2353] lr: 1.197e-03, eta: 6:04:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1165, loss: 1.1165 +2025-06-01 14:30:52,597 - pyskl - INFO - Epoch [129][2300/2353] lr: 1.192e-03, eta: 6:03:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1227, loss: 1.1227 +2025-06-01 14:31:16,490 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-06-01 14:32:45,465 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 14:32:45,541 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9950 +2025-06-01 14:32:45,593 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_126.pth was removed +2025-06-01 14:32:46,607 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2025-06-01 14:32:46,608 - pyskl - INFO - Best top1_acc is 0.9615 at 129 epoch. +2025-06-01 14:32:46,611 - pyskl - INFO - Epoch(val) [129][1184] top1_acc: 0.9615, top5_acc: 0.9950 +2025-06-01 14:33:51,062 - pyskl - INFO - Epoch [130][100/2353] lr: 1.185e-03, eta: 6:02:24, time: 0.644, data_time: 0.203, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1433, loss: 1.1433 +2025-06-01 14:34:35,383 - pyskl - INFO - Epoch [130][200/2353] lr: 1.180e-03, eta: 6:01:40, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0987, loss: 1.0987 +2025-06-01 14:35:19,621 - pyskl - INFO - Epoch [130][300/2353] lr: 1.176e-03, eta: 6:00:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1344, loss: 1.1344 +2025-06-01 14:36:03,929 - pyskl - INFO - Epoch [130][400/2353] lr: 1.171e-03, eta: 6:00:12, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0751, loss: 1.0751 +2025-06-01 14:36:48,021 - pyskl - INFO - Epoch [130][500/2353] lr: 1.166e-03, eta: 5:59:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1109, loss: 1.1109 +2025-06-01 14:37:32,248 - pyskl - INFO - Epoch [130][600/2353] lr: 1.161e-03, eta: 5:58:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0930, loss: 1.0930 +2025-06-01 14:38:16,365 - pyskl - INFO - Epoch [130][700/2353] lr: 1.157e-03, eta: 5:58:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1313, loss: 1.1313 +2025-06-01 14:39:00,510 - pyskl - INFO - Epoch [130][800/2353] lr: 1.152e-03, eta: 5:57:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1477, loss: 1.1477 +2025-06-01 14:39:44,605 - pyskl - INFO - Epoch [130][900/2353] lr: 1.147e-03, eta: 5:56:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0740, loss: 1.0740 +2025-06-01 14:40:28,716 - pyskl - INFO - Epoch [130][1000/2353] lr: 1.143e-03, eta: 5:55:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0924, loss: 1.0924 +2025-06-01 14:41:12,721 - pyskl - INFO - Epoch [130][1100/2353] lr: 1.138e-03, eta: 5:55:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0899, loss: 1.0899 +2025-06-01 14:41:56,835 - pyskl - INFO - Epoch [130][1200/2353] lr: 1.134e-03, eta: 5:54:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0771, loss: 1.0771 +2025-06-01 14:42:40,843 - pyskl - INFO - Epoch [130][1300/2353] lr: 1.129e-03, eta: 5:53:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1353, loss: 1.1353 +2025-06-01 14:43:25,003 - pyskl - INFO - Epoch [130][1400/2353] lr: 1.124e-03, eta: 5:52:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0949, loss: 1.0949 +2025-06-01 14:44:09,285 - pyskl - INFO - Epoch [130][1500/2353] lr: 1.120e-03, eta: 5:52:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.0980, loss: 1.0980 +2025-06-01 14:44:53,351 - pyskl - INFO - Epoch [130][1600/2353] lr: 1.115e-03, eta: 5:51:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1360, loss: 1.1360 +2025-06-01 14:45:37,512 - pyskl - INFO - Epoch [130][1700/2353] lr: 1.110e-03, eta: 5:50:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1067, loss: 1.1067 +2025-06-01 14:46:21,624 - pyskl - INFO - Epoch [130][1800/2353] lr: 1.106e-03, eta: 5:49:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1015, loss: 1.1015 +2025-06-01 14:47:05,716 - pyskl - INFO - Epoch [130][1900/2353] lr: 1.101e-03, eta: 5:49:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.1103, loss: 1.1103 +2025-06-01 14:47:49,708 - pyskl - INFO - Epoch [130][2000/2353] lr: 1.097e-03, eta: 5:48:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1308, loss: 1.1308 +2025-06-01 14:48:33,696 - pyskl - INFO - Epoch [130][2100/2353] lr: 1.092e-03, eta: 5:47:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.0901, loss: 1.0901 +2025-06-01 14:49:17,660 - pyskl - INFO - Epoch [130][2200/2353] lr: 1.088e-03, eta: 5:46:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1103, loss: 1.1103 +2025-06-01 14:50:01,667 - pyskl - INFO - Epoch [130][2300/2353] lr: 1.083e-03, eta: 5:46:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1003, loss: 1.1003 +2025-06-01 14:50:25,511 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-06-01 14:59:01,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 14:59:01,575 - pyskl - INFO - +top1_acc 0.9617 +top5_acc 0.9952 +2025-06-01 14:59:01,631 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_129.pth was removed +2025-06-01 14:59:02,677 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2025-06-01 14:59:02,678 - pyskl - INFO - Best top1_acc is 0.9617 at 130 epoch. +2025-06-01 14:59:02,681 - pyskl - INFO - Epoch(val) [130][1184] top1_acc: 0.9617, top5_acc: 0.9952 +2025-06-01 15:00:07,058 - pyskl - INFO - Epoch [131][100/2353] lr: 1.076e-03, eta: 5:45:06, time: 0.644, data_time: 0.203, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0864, loss: 1.0864 +2025-06-01 15:00:51,073 - pyskl - INFO - Epoch [131][200/2353] lr: 1.072e-03, eta: 5:44:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1254, loss: 1.1254 +2025-06-01 15:01:35,139 - pyskl - INFO - Epoch [131][300/2353] lr: 1.067e-03, eta: 5:43:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1122, loss: 1.1122 +2025-06-01 15:02:19,252 - pyskl - INFO - Epoch [131][400/2353] lr: 1.063e-03, eta: 5:42:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1012, loss: 1.1012 +2025-06-01 15:03:03,306 - pyskl - INFO - Epoch [131][500/2353] lr: 1.058e-03, eta: 5:42:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1174, loss: 1.1174 +2025-06-01 15:03:47,410 - pyskl - INFO - Epoch [131][600/2353] lr: 1.054e-03, eta: 5:41:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0817, loss: 1.0817 +2025-06-01 15:04:31,497 - pyskl - INFO - Epoch [131][700/2353] lr: 1.049e-03, eta: 5:40:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1273, loss: 1.1273 +2025-06-01 15:05:15,586 - pyskl - INFO - Epoch [131][800/2353] lr: 1.045e-03, eta: 5:39:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1096, loss: 1.1096 +2025-06-01 15:05:59,720 - pyskl - INFO - Epoch [131][900/2353] lr: 1.040e-03, eta: 5:39:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0974, loss: 1.0974 +2025-06-01 15:06:43,822 - pyskl - INFO - Epoch [131][1000/2353] lr: 1.036e-03, eta: 5:38:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.0965, loss: 1.0965 +2025-06-01 15:07:27,996 - pyskl - INFO - Epoch [131][1100/2353] lr: 1.031e-03, eta: 5:37:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1010, loss: 1.1010 +2025-06-01 15:08:12,124 - pyskl - INFO - Epoch [131][1200/2353] lr: 1.027e-03, eta: 5:37:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.0928, loss: 1.0928 +2025-06-01 15:08:56,213 - pyskl - INFO - Epoch [131][1300/2353] lr: 1.023e-03, eta: 5:36:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1052, loss: 1.1052 +2025-06-01 15:09:40,345 - pyskl - INFO - Epoch [131][1400/2353] lr: 1.018e-03, eta: 5:35:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0611, loss: 1.0611 +2025-06-01 15:10:24,421 - pyskl - INFO - Epoch [131][1500/2353] lr: 1.014e-03, eta: 5:34:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1232, loss: 1.1232 +2025-06-01 15:11:08,446 - pyskl - INFO - Epoch [131][1600/2353] lr: 1.009e-03, eta: 5:34:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0977, loss: 1.0977 +2025-06-01 15:11:52,535 - pyskl - INFO - Epoch [131][1700/2353] lr: 1.005e-03, eta: 5:33:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0947, loss: 1.0947 +2025-06-01 15:12:36,546 - pyskl - INFO - Epoch [131][1800/2353] lr: 1.001e-03, eta: 5:32:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0776, loss: 1.0776 +2025-06-01 15:13:20,624 - pyskl - INFO - Epoch [131][1900/2353] lr: 9.964e-04, eta: 5:31:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0648, loss: 1.0648 +2025-06-01 15:14:04,665 - pyskl - INFO - Epoch [131][2000/2353] lr: 9.920e-04, eta: 5:31:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1045, loss: 1.1045 +2025-06-01 15:14:48,808 - pyskl - INFO - Epoch [131][2100/2353] lr: 9.877e-04, eta: 5:30:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1092, loss: 1.1092 +2025-06-01 15:15:32,912 - pyskl - INFO - Epoch [131][2200/2353] lr: 9.834e-04, eta: 5:29:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.0806, loss: 1.0806 +2025-06-01 15:16:16,875 - pyskl - INFO - Epoch [131][2300/2353] lr: 9.790e-04, eta: 5:28:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0878, loss: 1.0878 +2025-06-01 15:16:40,749 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-06-01 15:18:09,167 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 15:18:09,242 - pyskl - INFO - +top1_acc 0.9596 +top5_acc 0.9950 +2025-06-01 15:18:09,245 - pyskl - INFO - Epoch(val) [131][1184] top1_acc: 0.9596, top5_acc: 0.9950 +2025-06-01 15:19:13,394 - pyskl - INFO - Epoch [132][100/2353] lr: 9.724e-04, eta: 5:27:48, time: 0.641, data_time: 0.198, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0455, loss: 1.0455 +2025-06-01 15:19:57,503 - pyskl - INFO - Epoch [132][200/2353] lr: 9.681e-04, eta: 5:27:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0993, loss: 1.0993 +2025-06-01 15:20:41,625 - pyskl - INFO - Epoch [132][300/2353] lr: 9.639e-04, eta: 5:26:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0853, loss: 1.0853 +2025-06-01 15:21:25,653 - pyskl - INFO - Epoch [132][400/2353] lr: 9.596e-04, eta: 5:25:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0662, loss: 1.0662 +2025-06-01 15:22:09,728 - pyskl - INFO - Epoch [132][500/2353] lr: 9.553e-04, eta: 5:24:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0537, loss: 1.0537 +2025-06-01 15:22:53,958 - pyskl - INFO - Epoch [132][600/2353] lr: 9.510e-04, eta: 5:24:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0917, loss: 1.0917 +2025-06-01 15:23:38,310 - pyskl - INFO - Epoch [132][700/2353] lr: 9.468e-04, eta: 5:23:24, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0673, loss: 1.0673 +2025-06-01 15:24:22,683 - pyskl - INFO - Epoch [132][800/2353] lr: 9.426e-04, eta: 5:22:40, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.0830, loss: 1.0830 +2025-06-01 15:25:06,743 - pyskl - INFO - Epoch [132][900/2353] lr: 9.383e-04, eta: 5:21:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1046, loss: 1.1046 +2025-06-01 15:25:50,769 - pyskl - INFO - Epoch [132][1000/2353] lr: 9.341e-04, eta: 5:21:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1096, loss: 1.1096 +2025-06-01 15:26:34,885 - pyskl - INFO - Epoch [132][1100/2353] lr: 9.299e-04, eta: 5:20:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1027, loss: 1.1027 +2025-06-01 15:27:18,949 - pyskl - INFO - Epoch [132][1200/2353] lr: 9.257e-04, eta: 5:19:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0726, loss: 1.0726 +2025-06-01 15:28:03,040 - pyskl - INFO - Epoch [132][1300/2353] lr: 9.215e-04, eta: 5:18:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1131, loss: 1.1131 +2025-06-01 15:28:47,138 - pyskl - INFO - Epoch [132][1400/2353] lr: 9.173e-04, eta: 5:18:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1078, loss: 1.1078 +2025-06-01 15:29:31,122 - pyskl - INFO - Epoch [132][1500/2353] lr: 9.131e-04, eta: 5:17:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0975, loss: 1.0975 +2025-06-01 15:30:15,214 - pyskl - INFO - Epoch [132][1600/2353] lr: 9.089e-04, eta: 5:16:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0938, loss: 1.0938 +2025-06-01 15:30:59,332 - pyskl - INFO - Epoch [132][1700/2353] lr: 9.048e-04, eta: 5:16:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0810, loss: 1.0810 +2025-06-01 15:31:43,357 - pyskl - INFO - Epoch [132][1800/2353] lr: 9.006e-04, eta: 5:15:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0728, loss: 1.0728 +2025-06-01 15:32:27,403 - pyskl - INFO - Epoch [132][1900/2353] lr: 8.965e-04, eta: 5:14:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0521, loss: 1.0521 +2025-06-01 15:33:11,313 - pyskl - INFO - Epoch [132][2000/2353] lr: 8.924e-04, eta: 5:13:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0670, loss: 1.0670 +2025-06-01 15:33:55,281 - pyskl - INFO - Epoch [132][2100/2353] lr: 8.882e-04, eta: 5:13:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0789, loss: 1.0789 +2025-06-01 15:34:39,071 - pyskl - INFO - Epoch [132][2200/2353] lr: 8.841e-04, eta: 5:12:22, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0811, loss: 1.0811 +2025-06-01 15:35:23,074 - pyskl - INFO - Epoch [132][2300/2353] lr: 8.800e-04, eta: 5:11:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0150, loss: 1.0150 +2025-06-01 15:35:46,920 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-06-01 15:37:15,782 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 15:37:15,858 - pyskl - INFO - +top1_acc 0.9616 +top5_acc 0.9948 +2025-06-01 15:37:15,860 - pyskl - INFO - Epoch(val) [132][1184] top1_acc: 0.9616, top5_acc: 0.9948 +2025-06-01 15:38:20,284 - pyskl - INFO - Epoch [133][100/2353] lr: 8.737e-04, eta: 5:10:30, time: 0.644, data_time: 0.201, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0547, loss: 1.0547 +2025-06-01 15:39:04,553 - pyskl - INFO - Epoch [133][200/2353] lr: 8.697e-04, eta: 5:09:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0462, loss: 1.0462 +2025-06-01 15:39:48,857 - pyskl - INFO - Epoch [133][300/2353] lr: 8.656e-04, eta: 5:09:02, time: 0.443, data_time: 0.001, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0674, loss: 1.0674 +2025-06-01 15:40:33,350 - pyskl - INFO - Epoch [133][400/2353] lr: 8.615e-04, eta: 5:08:18, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0711, loss: 1.0711 +2025-06-01 15:41:17,905 - pyskl - INFO - Epoch [133][500/2353] lr: 8.575e-04, eta: 5:07:34, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0971, loss: 1.0971 +2025-06-01 15:42:02,369 - pyskl - INFO - Epoch [133][600/2353] lr: 8.534e-04, eta: 5:06:50, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0678, loss: 1.0678 +2025-06-01 15:42:46,670 - pyskl - INFO - Epoch [133][700/2353] lr: 8.494e-04, eta: 5:06:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0507, loss: 1.0507 +2025-06-01 15:43:31,016 - pyskl - INFO - Epoch [133][800/2353] lr: 8.454e-04, eta: 5:05:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0554, loss: 1.0554 +2025-06-01 15:44:15,392 - pyskl - INFO - Epoch [133][900/2353] lr: 8.413e-04, eta: 5:04:38, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.0574, loss: 1.0574 +2025-06-01 15:44:59,688 - pyskl - INFO - Epoch [133][1000/2353] lr: 8.373e-04, eta: 5:03:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0877, loss: 1.0877 +2025-06-01 15:45:44,039 - pyskl - INFO - Epoch [133][1100/2353] lr: 8.333e-04, eta: 5:03:10, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0601, loss: 1.0601 +2025-06-01 15:46:28,476 - pyskl - INFO - Epoch [133][1200/2353] lr: 8.293e-04, eta: 5:02:26, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0760, loss: 1.0760 +2025-06-01 15:47:12,865 - pyskl - INFO - Epoch [133][1300/2353] lr: 8.254e-04, eta: 5:01:42, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0847, loss: 1.0847 +2025-06-01 15:47:57,134 - pyskl - INFO - Epoch [133][1400/2353] lr: 8.214e-04, eta: 5:00:57, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0352, loss: 1.0352 +2025-06-01 15:48:41,642 - pyskl - INFO - Epoch [133][1500/2353] lr: 8.174e-04, eta: 5:00:13, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0688, loss: 1.0688 +2025-06-01 15:49:26,025 - pyskl - INFO - Epoch [133][1600/2353] lr: 8.135e-04, eta: 4:59:29, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0922, loss: 1.0922 +2025-06-01 15:50:10,422 - pyskl - INFO - Epoch [133][1700/2353] lr: 8.095e-04, eta: 4:58:45, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0822, loss: 1.0822 +2025-06-01 15:50:54,832 - pyskl - INFO - Epoch [133][1800/2353] lr: 8.056e-04, eta: 4:58:01, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.0954, loss: 1.0954 +2025-06-01 15:51:39,136 - pyskl - INFO - Epoch [133][1900/2353] lr: 8.017e-04, eta: 4:57:17, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0652, loss: 1.0652 +2025-06-01 15:52:23,493 - pyskl - INFO - Epoch [133][2000/2353] lr: 7.978e-04, eta: 4:56:33, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0614, loss: 1.0614 +2025-06-01 15:53:07,872 - pyskl - INFO - Epoch [133][2100/2353] lr: 7.939e-04, eta: 4:55:49, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0846, loss: 1.0846 +2025-06-01 15:53:52,273 - pyskl - INFO - Epoch [133][2200/2353] lr: 7.900e-04, eta: 4:55:05, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0749, loss: 1.0749 +2025-06-01 15:54:36,708 - pyskl - INFO - Epoch [133][2300/2353] lr: 7.861e-04, eta: 4:54:21, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0634, loss: 1.0634 +2025-06-01 15:55:00,751 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-06-01 15:56:29,589 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 15:56:29,665 - pyskl - INFO - +top1_acc 0.9637 +top5_acc 0.9955 +2025-06-01 15:56:29,720 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_130.pth was removed +2025-06-01 15:56:30,751 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-06-01 15:56:30,752 - pyskl - INFO - Best top1_acc is 0.9637 at 133 epoch. +2025-06-01 15:56:30,755 - pyskl - INFO - Epoch(val) [133][1184] top1_acc: 0.9637, top5_acc: 0.9955 +2025-06-01 15:57:35,338 - pyskl - INFO - Epoch [134][100/2353] lr: 7.801e-04, eta: 4:53:13, time: 0.646, data_time: 0.202, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.0741, loss: 1.0741 +2025-06-01 15:58:19,612 - pyskl - INFO - Epoch [134][200/2353] lr: 7.763e-04, eta: 4:52:29, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0541, loss: 1.0541 +2025-06-01 15:59:03,876 - pyskl - INFO - Epoch [134][300/2353] lr: 7.724e-04, eta: 4:51:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0701, loss: 1.0701 +2025-06-01 15:59:48,105 - pyskl - INFO - Epoch [134][400/2353] lr: 7.686e-04, eta: 4:51:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0461, loss: 1.0461 +2025-06-01 16:00:32,390 - pyskl - INFO - Epoch [134][500/2353] lr: 7.647e-04, eta: 4:50:17, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0943, loss: 1.0943 +2025-06-01 16:01:16,666 - pyskl - INFO - Epoch [134][600/2353] lr: 7.609e-04, eta: 4:49:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0796, loss: 1.0796 +2025-06-01 16:02:00,886 - pyskl - INFO - Epoch [134][700/2353] lr: 7.571e-04, eta: 4:48:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1045, loss: 1.1045 +2025-06-01 16:02:45,092 - pyskl - INFO - Epoch [134][800/2353] lr: 7.533e-04, eta: 4:48:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0619, loss: 1.0619 +2025-06-01 16:03:29,279 - pyskl - INFO - Epoch [134][900/2353] lr: 7.495e-04, eta: 4:47:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0622, loss: 1.0622 +2025-06-01 16:04:13,561 - pyskl - INFO - Epoch [134][1000/2353] lr: 7.457e-04, eta: 4:46:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.0738, loss: 1.0738 +2025-06-01 16:04:57,889 - pyskl - INFO - Epoch [134][1100/2353] lr: 7.419e-04, eta: 4:45:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0336, loss: 1.0336 +2025-06-01 16:05:42,092 - pyskl - INFO - Epoch [134][1200/2353] lr: 7.381e-04, eta: 4:45:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0332, loss: 1.0332 +2025-06-01 16:06:26,288 - pyskl - INFO - Epoch [134][1300/2353] lr: 7.344e-04, eta: 4:44:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.0774, loss: 1.0774 +2025-06-01 16:07:10,564 - pyskl - INFO - Epoch [134][1400/2353] lr: 7.306e-04, eta: 4:43:40, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0655, loss: 1.0655 +2025-06-01 16:07:54,848 - pyskl - INFO - Epoch [134][1500/2353] lr: 7.269e-04, eta: 4:42:56, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0508, loss: 1.0508 +2025-06-01 16:08:39,169 - pyskl - INFO - Epoch [134][1600/2353] lr: 7.232e-04, eta: 4:42:12, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0433, loss: 1.0433 +2025-06-01 16:09:23,509 - pyskl - INFO - Epoch [134][1700/2353] lr: 7.194e-04, eta: 4:41:28, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0580, loss: 1.0580 +2025-06-01 16:10:07,872 - pyskl - INFO - Epoch [134][1800/2353] lr: 7.157e-04, eta: 4:40:44, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0866, loss: 1.0866 +2025-06-01 16:10:52,114 - pyskl - INFO - Epoch [134][1900/2353] lr: 7.120e-04, eta: 4:40:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0657, loss: 1.0657 +2025-06-01 16:11:36,465 - pyskl - INFO - Epoch [134][2000/2353] lr: 7.083e-04, eta: 4:39:16, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0575, loss: 1.0575 +2025-06-01 16:12:20,938 - pyskl - INFO - Epoch [134][2100/2353] lr: 7.046e-04, eta: 4:38:32, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.0752, loss: 1.0752 +2025-06-01 16:13:05,213 - pyskl - INFO - Epoch [134][2200/2353] lr: 7.009e-04, eta: 4:37:48, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0545, loss: 1.0545 +2025-06-01 16:13:49,523 - pyskl - INFO - Epoch [134][2300/2353] lr: 6.973e-04, eta: 4:37:04, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0577, loss: 1.0577 +2025-06-01 16:14:13,561 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-06-01 16:15:42,673 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 16:15:42,749 - pyskl - INFO - +top1_acc 0.9618 +top5_acc 0.9954 +2025-06-01 16:15:42,752 - pyskl - INFO - Epoch(val) [134][1184] top1_acc: 0.9618, top5_acc: 0.9954 +2025-06-01 16:16:47,541 - pyskl - INFO - Epoch [135][100/2353] lr: 6.917e-04, eta: 4:35:56, time: 0.648, data_time: 0.204, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0644, loss: 1.0644 +2025-06-01 16:17:31,669 - pyskl - INFO - Epoch [135][200/2353] lr: 6.880e-04, eta: 4:35:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0374, loss: 1.0374 +2025-06-01 16:18:15,863 - pyskl - INFO - Epoch [135][300/2353] lr: 6.844e-04, eta: 4:34:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0408, loss: 1.0408 +2025-06-01 16:19:00,055 - pyskl - INFO - Epoch [135][400/2353] lr: 6.808e-04, eta: 4:33:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0424, loss: 1.0424 +2025-06-01 16:19:44,251 - pyskl - INFO - Epoch [135][500/2353] lr: 6.772e-04, eta: 4:32:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0611, loss: 1.0611 +2025-06-01 16:20:28,436 - pyskl - INFO - Epoch [135][600/2353] lr: 6.735e-04, eta: 4:32:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0687, loss: 1.0687 +2025-06-01 16:21:12,678 - pyskl - INFO - Epoch [135][700/2353] lr: 6.699e-04, eta: 4:31:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0498, loss: 1.0498 +2025-06-01 16:21:56,889 - pyskl - INFO - Epoch [135][800/2353] lr: 6.664e-04, eta: 4:30:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0654, loss: 1.0654 +2025-06-01 16:22:41,235 - pyskl - INFO - Epoch [135][900/2353] lr: 6.628e-04, eta: 4:30:03, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0487, loss: 1.0487 +2025-06-01 16:23:25,588 - pyskl - INFO - Epoch [135][1000/2353] lr: 6.592e-04, eta: 4:29:19, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0655, loss: 1.0655 +2025-06-01 16:24:09,930 - pyskl - INFO - Epoch [135][1100/2353] lr: 6.556e-04, eta: 4:28:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0034, loss: 1.0034 +2025-06-01 16:24:54,136 - pyskl - INFO - Epoch [135][1200/2353] lr: 6.521e-04, eta: 4:27:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0611, loss: 1.0611 +2025-06-01 16:25:38,317 - pyskl - INFO - Epoch [135][1300/2353] lr: 6.486e-04, eta: 4:27:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.0548, loss: 1.0548 +2025-06-01 16:26:22,657 - pyskl - INFO - Epoch [135][1400/2353] lr: 6.450e-04, eta: 4:26:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0755, loss: 1.0755 +2025-06-01 16:27:07,100 - pyskl - INFO - Epoch [135][1500/2353] lr: 6.415e-04, eta: 4:25:39, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0556, loss: 1.0556 +2025-06-01 16:27:51,333 - pyskl - INFO - Epoch [135][1600/2353] lr: 6.380e-04, eta: 4:24:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0754, loss: 1.0754 +2025-06-01 16:28:35,640 - pyskl - INFO - Epoch [135][1700/2353] lr: 6.345e-04, eta: 4:24:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0395, loss: 1.0395 +2025-06-01 16:29:19,984 - pyskl - INFO - Epoch [135][1800/2353] lr: 6.310e-04, eta: 4:23:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.0379, loss: 1.0379 +2025-06-01 16:30:04,222 - pyskl - INFO - Epoch [135][1900/2353] lr: 6.275e-04, eta: 4:22:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0348, loss: 1.0348 +2025-06-01 16:30:48,502 - pyskl - INFO - Epoch [135][2000/2353] lr: 6.240e-04, eta: 4:21:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0432, loss: 1.0432 +2025-06-01 16:31:32,834 - pyskl - INFO - Epoch [135][2100/2353] lr: 6.206e-04, eta: 4:21:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0494, loss: 1.0494 +2025-06-01 16:32:17,006 - pyskl - INFO - Epoch [135][2200/2353] lr: 6.171e-04, eta: 4:20:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0357, loss: 1.0357 +2025-06-01 16:33:01,254 - pyskl - INFO - Epoch [135][2300/2353] lr: 6.137e-04, eta: 4:19:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0418, loss: 1.0418 +2025-06-01 16:33:25,359 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-06-01 16:42:43,734 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 16:42:43,810 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9955 +2025-06-01 16:42:43,813 - pyskl - INFO - Epoch(val) [135][1184] top1_acc: 0.9630, top5_acc: 0.9955 +2025-06-01 16:43:48,064 - pyskl - INFO - Epoch [136][100/2353] lr: 6.084e-04, eta: 4:18:38, time: 0.642, data_time: 0.201, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0572, loss: 1.0572 +2025-06-01 16:44:32,348 - pyskl - INFO - Epoch [136][200/2353] lr: 6.050e-04, eta: 4:17:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0332, loss: 1.0332 +2025-06-01 16:45:16,742 - pyskl - INFO - Epoch [136][300/2353] lr: 6.016e-04, eta: 4:17:10, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0315, loss: 1.0315 +2025-06-01 16:46:01,037 - pyskl - INFO - Epoch [136][400/2353] lr: 5.982e-04, eta: 4:16:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0467, loss: 1.0467 +2025-06-01 16:46:45,357 - pyskl - INFO - Epoch [136][500/2353] lr: 5.948e-04, eta: 4:15:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0518, loss: 1.0518 +2025-06-01 16:47:29,702 - pyskl - INFO - Epoch [136][600/2353] lr: 5.914e-04, eta: 4:14:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0824, loss: 1.0824 +2025-06-01 16:48:14,101 - pyskl - INFO - Epoch [136][700/2353] lr: 5.880e-04, eta: 4:14:14, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0520, loss: 1.0520 +2025-06-01 16:48:58,592 - pyskl - INFO - Epoch [136][800/2353] lr: 5.846e-04, eta: 4:13:30, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0438, loss: 1.0438 +2025-06-01 16:49:42,966 - pyskl - INFO - Epoch [136][900/2353] lr: 5.813e-04, eta: 4:12:46, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0739, loss: 1.0739 +2025-06-01 16:50:27,217 - pyskl - INFO - Epoch [136][1000/2353] lr: 5.779e-04, eta: 4:12:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0424, loss: 1.0424 +2025-06-01 16:51:11,533 - pyskl - INFO - Epoch [136][1100/2353] lr: 5.746e-04, eta: 4:11:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0530, loss: 1.0530 +2025-06-01 16:51:55,870 - pyskl - INFO - Epoch [136][1200/2353] lr: 5.712e-04, eta: 4:10:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0448, loss: 1.0448 +2025-06-01 16:52:40,205 - pyskl - INFO - Epoch [136][1300/2353] lr: 5.679e-04, eta: 4:09:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0658, loss: 1.0658 +2025-06-01 16:53:24,563 - pyskl - INFO - Epoch [136][1400/2353] lr: 5.646e-04, eta: 4:09:05, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0387, loss: 1.0387 +2025-06-01 16:54:08,884 - pyskl - INFO - Epoch [136][1500/2353] lr: 5.613e-04, eta: 4:08:21, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0338, loss: 1.0338 +2025-06-01 16:54:53,352 - pyskl - INFO - Epoch [136][1600/2353] lr: 5.580e-04, eta: 4:07:37, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0436, loss: 1.0436 +2025-06-01 16:55:37,671 - pyskl - INFO - Epoch [136][1700/2353] lr: 5.547e-04, eta: 4:06:53, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0449, loss: 1.0449 +2025-06-01 16:56:21,924 - pyskl - INFO - Epoch [136][1800/2353] lr: 5.515e-04, eta: 4:06:09, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0737, loss: 1.0737 +2025-06-01 16:57:06,083 - pyskl - INFO - Epoch [136][1900/2353] lr: 5.482e-04, eta: 4:05:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0602, loss: 1.0602 +2025-06-01 16:57:50,270 - pyskl - INFO - Epoch [136][2000/2353] lr: 5.449e-04, eta: 4:04:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0622, loss: 1.0622 +2025-06-01 16:58:34,376 - pyskl - INFO - Epoch [136][2100/2353] lr: 5.417e-04, eta: 4:03:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0354, loss: 1.0354 +2025-06-01 16:59:18,534 - pyskl - INFO - Epoch [136][2200/2353] lr: 5.385e-04, eta: 4:03:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0301, loss: 1.0301 +2025-06-01 17:00:02,702 - pyskl - INFO - Epoch [136][2300/2353] lr: 5.352e-04, eta: 4:02:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0296, loss: 1.0296 +2025-06-01 17:00:26,649 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-06-01 17:01:55,115 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 17:01:55,189 - pyskl - INFO - +top1_acc 0.9641 +top5_acc 0.9952 +2025-06-01 17:01:55,239 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_133.pth was removed +2025-06-01 17:01:56,223 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. +2025-06-01 17:01:56,224 - pyskl - INFO - Best top1_acc is 0.9641 at 136 epoch. +2025-06-01 17:01:56,226 - pyskl - INFO - Epoch(val) [136][1184] top1_acc: 0.9641, top5_acc: 0.9952 +2025-06-01 17:02:59,713 - pyskl - INFO - Epoch [137][100/2353] lr: 5.303e-04, eta: 4:01:21, time: 0.635, data_time: 0.194, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0661, loss: 1.0661 +2025-06-01 17:03:43,781 - pyskl - INFO - Epoch [137][200/2353] lr: 5.271e-04, eta: 4:00:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0519, loss: 1.0519 +2025-06-01 17:04:28,016 - pyskl - INFO - Epoch [137][300/2353] lr: 5.239e-04, eta: 3:59:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0446, loss: 1.0446 +2025-06-01 17:05:12,070 - pyskl - INFO - Epoch [137][400/2353] lr: 5.208e-04, eta: 3:59:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0458, loss: 1.0458 +2025-06-01 17:05:56,129 - pyskl - INFO - Epoch [137][500/2353] lr: 5.176e-04, eta: 3:58:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9819, loss: 0.9819 +2025-06-01 17:06:40,556 - pyskl - INFO - Epoch [137][600/2353] lr: 5.144e-04, eta: 3:57:40, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0358, loss: 1.0358 +2025-06-01 17:07:24,909 - pyskl - INFO - Epoch [137][700/2353] lr: 5.113e-04, eta: 3:56:56, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0200, loss: 1.0200 +2025-06-01 17:08:09,055 - pyskl - INFO - Epoch [137][800/2353] lr: 5.081e-04, eta: 3:56:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0221, loss: 1.0221 +2025-06-01 17:08:53,129 - pyskl - INFO - Epoch [137][900/2353] lr: 5.050e-04, eta: 3:55:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0562, loss: 1.0562 +2025-06-01 17:09:37,255 - pyskl - INFO - Epoch [137][1000/2353] lr: 5.019e-04, eta: 3:54:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0426, loss: 1.0426 +2025-06-01 17:10:21,355 - pyskl - INFO - Epoch [137][1100/2353] lr: 4.987e-04, eta: 3:54:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0192, loss: 1.0192 +2025-06-01 17:11:05,504 - pyskl - INFO - Epoch [137][1200/2353] lr: 4.956e-04, eta: 3:53:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0638, loss: 1.0638 +2025-06-01 17:11:49,568 - pyskl - INFO - Epoch [137][1300/2353] lr: 4.925e-04, eta: 3:52:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0526, loss: 1.0526 +2025-06-01 17:12:33,708 - pyskl - INFO - Epoch [137][1400/2353] lr: 4.894e-04, eta: 3:51:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0399, loss: 1.0399 +2025-06-01 17:13:17,745 - pyskl - INFO - Epoch [137][1500/2353] lr: 4.864e-04, eta: 3:51:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0449, loss: 1.0449 +2025-06-01 17:14:01,826 - pyskl - INFO - Epoch [137][1600/2353] lr: 4.833e-04, eta: 3:50:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0378, loss: 1.0378 +2025-06-01 17:14:45,849 - pyskl - INFO - Epoch [137][1700/2353] lr: 4.802e-04, eta: 3:49:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0160, loss: 1.0160 +2025-06-01 17:15:29,893 - pyskl - INFO - Epoch [137][1800/2353] lr: 4.772e-04, eta: 3:48:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0559, loss: 1.0559 +2025-06-01 17:16:13,916 - pyskl - INFO - Epoch [137][1900/2353] lr: 4.742e-04, eta: 3:48:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0483, loss: 1.0483 +2025-06-01 17:16:57,867 - pyskl - INFO - Epoch [137][2000/2353] lr: 4.711e-04, eta: 3:47:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0290, loss: 1.0290 +2025-06-01 17:17:41,908 - pyskl - INFO - Epoch [137][2100/2353] lr: 4.681e-04, eta: 3:46:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0397, loss: 1.0397 +2025-06-01 17:18:25,832 - pyskl - INFO - Epoch [137][2200/2353] lr: 4.651e-04, eta: 3:45:55, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0506, loss: 1.0506 +2025-06-01 17:19:09,918 - pyskl - INFO - Epoch [137][2300/2353] lr: 4.621e-04, eta: 3:45:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0064, loss: 1.0064 +2025-06-01 17:19:33,865 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-06-01 17:21:03,350 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 17:21:03,426 - pyskl - INFO - +top1_acc 0.9645 +top5_acc 0.9948 +2025-06-01 17:21:03,481 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_136.pth was removed +2025-06-01 17:21:04,513 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. +2025-06-01 17:21:04,514 - pyskl - INFO - Best top1_acc is 0.9645 at 137 epoch. +2025-06-01 17:21:04,517 - pyskl - INFO - Epoch(val) [137][1184] top1_acc: 0.9645, top5_acc: 0.9948 +2025-06-01 17:22:09,350 - pyskl - INFO - Epoch [138][100/2353] lr: 4.575e-04, eta: 3:44:03, time: 0.648, data_time: 0.205, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0642, loss: 1.0642 +2025-06-01 17:22:53,576 - pyskl - INFO - Epoch [138][200/2353] lr: 4.545e-04, eta: 3:43:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0345, loss: 1.0345 +2025-06-01 17:23:37,920 - pyskl - INFO - Epoch [138][300/2353] lr: 4.516e-04, eta: 3:42:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0280, loss: 1.0280 +2025-06-01 17:24:22,287 - pyskl - INFO - Epoch [138][400/2353] lr: 4.486e-04, eta: 3:41:51, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0542, loss: 1.0542 +2025-06-01 17:25:06,655 - pyskl - INFO - Epoch [138][500/2353] lr: 4.457e-04, eta: 3:41:07, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0288, loss: 1.0288 +2025-06-01 17:25:50,993 - pyskl - INFO - Epoch [138][600/2353] lr: 4.427e-04, eta: 3:40:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0149, loss: 1.0149 +2025-06-01 17:26:35,293 - pyskl - INFO - Epoch [138][700/2353] lr: 4.398e-04, eta: 3:39:39, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0263, loss: 1.0263 +2025-06-01 17:27:19,603 - pyskl - INFO - Epoch [138][800/2353] lr: 4.369e-04, eta: 3:38:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0365, loss: 1.0365 +2025-06-01 17:28:03,907 - pyskl - INFO - Epoch [138][900/2353] lr: 4.340e-04, eta: 3:38:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0481, loss: 1.0481 +2025-06-01 17:28:48,199 - pyskl - INFO - Epoch [138][1000/2353] lr: 4.311e-04, eta: 3:37:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0441, loss: 1.0441 +2025-06-01 17:29:32,422 - pyskl - INFO - Epoch [138][1100/2353] lr: 4.282e-04, eta: 3:36:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0067, loss: 1.0067 +2025-06-01 17:30:16,625 - pyskl - INFO - Epoch [138][1200/2353] lr: 4.253e-04, eta: 3:35:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0258, loss: 1.0258 +2025-06-01 17:31:00,896 - pyskl - INFO - Epoch [138][1300/2353] lr: 4.224e-04, eta: 3:35:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0428, loss: 1.0428 +2025-06-01 17:31:45,036 - pyskl - INFO - Epoch [138][1400/2353] lr: 4.195e-04, eta: 3:34:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0339, loss: 1.0339 +2025-06-01 17:32:29,282 - pyskl - INFO - Epoch [138][1500/2353] lr: 4.167e-04, eta: 3:33:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0320, loss: 1.0320 +2025-06-01 17:33:13,446 - pyskl - INFO - Epoch [138][1600/2353] lr: 4.138e-04, eta: 3:33:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0541, loss: 1.0541 +2025-06-01 17:33:57,629 - pyskl - INFO - Epoch [138][1700/2353] lr: 4.110e-04, eta: 3:32:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0195, loss: 1.0195 +2025-06-01 17:34:41,869 - pyskl - INFO - Epoch [138][1800/2353] lr: 4.082e-04, eta: 3:31:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9985, loss: 0.9985 +2025-06-01 17:35:26,051 - pyskl - INFO - Epoch [138][1900/2353] lr: 4.054e-04, eta: 3:30:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0241, loss: 1.0241 +2025-06-01 17:36:10,212 - pyskl - INFO - Epoch [138][2000/2353] lr: 4.026e-04, eta: 3:30:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0273, loss: 1.0273 +2025-06-01 17:36:54,332 - pyskl - INFO - Epoch [138][2100/2353] lr: 3.998e-04, eta: 3:29:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0811, loss: 1.0811 +2025-06-01 17:37:38,676 - pyskl - INFO - Epoch [138][2200/2353] lr: 3.970e-04, eta: 3:28:37, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0487, loss: 1.0487 +2025-06-01 17:38:23,054 - pyskl - INFO - Epoch [138][2300/2353] lr: 3.942e-04, eta: 3:27:53, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0176, loss: 1.0176 +2025-06-01 17:38:47,185 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-06-01 17:40:16,267 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 17:40:16,343 - pyskl - INFO - +top1_acc 0.9655 +top5_acc 0.9951 +2025-06-01 17:40:16,401 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_137.pth was removed +2025-06-01 17:40:17,486 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2025-06-01 17:40:17,487 - pyskl - INFO - Best top1_acc is 0.9655 at 138 epoch. +2025-06-01 17:40:17,490 - pyskl - INFO - Epoch(val) [138][1184] top1_acc: 0.9655, top5_acc: 0.9951 +2025-06-01 17:41:21,913 - pyskl - INFO - Epoch [139][100/2353] lr: 3.900e-04, eta: 3:26:46, time: 0.644, data_time: 0.202, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0254, loss: 1.0254 +2025-06-01 17:42:05,977 - pyskl - INFO - Epoch [139][200/2353] lr: 3.872e-04, eta: 3:26:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0323, loss: 1.0323 +2025-06-01 17:42:50,060 - pyskl - INFO - Epoch [139][300/2353] lr: 3.845e-04, eta: 3:25:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0543, loss: 1.0543 +2025-06-01 17:43:34,158 - pyskl - INFO - Epoch [139][400/2353] lr: 3.817e-04, eta: 3:24:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0338, loss: 1.0338 +2025-06-01 17:44:18,271 - pyskl - INFO - Epoch [139][500/2353] lr: 3.790e-04, eta: 3:23:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0198, loss: 1.0198 +2025-06-01 17:45:02,421 - pyskl - INFO - Epoch [139][600/2353] lr: 3.763e-04, eta: 3:23:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0326, loss: 1.0326 +2025-06-01 17:45:46,508 - pyskl - INFO - Epoch [139][700/2353] lr: 3.736e-04, eta: 3:22:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0277, loss: 1.0277 +2025-06-01 17:46:30,530 - pyskl - INFO - Epoch [139][800/2353] lr: 3.709e-04, eta: 3:21:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0318, loss: 1.0318 +2025-06-01 17:47:14,608 - pyskl - INFO - Epoch [139][900/2353] lr: 3.682e-04, eta: 3:20:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9942, loss: 0.9942 +2025-06-01 17:47:58,673 - pyskl - INFO - Epoch [139][1000/2353] lr: 3.655e-04, eta: 3:20:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9912, loss: 0.9912 +2025-06-01 17:48:42,785 - pyskl - INFO - Epoch [139][1100/2353] lr: 3.629e-04, eta: 3:19:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0196, loss: 1.0196 +2025-06-01 17:49:27,067 - pyskl - INFO - Epoch [139][1200/2353] lr: 3.602e-04, eta: 3:18:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0442, loss: 1.0442 +2025-06-01 17:50:11,254 - pyskl - INFO - Epoch [139][1300/2353] lr: 3.576e-04, eta: 3:17:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0355, loss: 1.0355 +2025-06-01 17:50:55,460 - pyskl - INFO - Epoch [139][1400/2353] lr: 3.549e-04, eta: 3:17:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0524, loss: 1.0524 +2025-06-01 17:51:39,615 - pyskl - INFO - Epoch [139][1500/2353] lr: 3.523e-04, eta: 3:16:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0188, loss: 1.0188 +2025-06-01 17:52:23,822 - pyskl - INFO - Epoch [139][1600/2353] lr: 3.497e-04, eta: 3:15:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0348, loss: 1.0348 +2025-06-01 17:53:07,994 - pyskl - INFO - Epoch [139][1700/2353] lr: 3.471e-04, eta: 3:15:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0440, loss: 1.0440 +2025-06-01 17:53:52,112 - pyskl - INFO - Epoch [139][1800/2353] lr: 3.445e-04, eta: 3:14:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0558, loss: 1.0558 +2025-06-01 17:54:36,260 - pyskl - INFO - Epoch [139][1900/2353] lr: 3.419e-04, eta: 3:13:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0220, loss: 1.0220 +2025-06-01 17:55:20,383 - pyskl - INFO - Epoch [139][2000/2353] lr: 3.393e-04, eta: 3:12:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0383, loss: 1.0383 +2025-06-01 17:56:04,737 - pyskl - INFO - Epoch [139][2100/2353] lr: 3.367e-04, eta: 3:12:04, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0414, loss: 1.0414 +2025-06-01 17:56:48,943 - pyskl - INFO - Epoch [139][2200/2353] lr: 3.342e-04, eta: 3:11:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0375, loss: 1.0375 +2025-06-01 17:57:33,033 - pyskl - INFO - Epoch [139][2300/2353] lr: 3.316e-04, eta: 3:10:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0084, loss: 1.0084 +2025-06-01 17:57:56,973 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-06-01 17:59:26,398 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 17:59:26,473 - pyskl - INFO - +top1_acc 0.9650 +top5_acc 0.9956 +2025-06-01 17:59:26,477 - pyskl - INFO - Epoch(val) [139][1184] top1_acc: 0.9650, top5_acc: 0.9956 +2025-06-01 18:00:31,147 - pyskl - INFO - Epoch [140][100/2353] lr: 3.278e-04, eta: 3:09:28, time: 0.647, data_time: 0.200, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0399, loss: 1.0399 +2025-06-01 18:01:15,295 - pyskl - INFO - Epoch [140][200/2353] lr: 3.252e-04, eta: 3:08:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9785, loss: 0.9785 +2025-06-01 18:01:59,469 - pyskl - INFO - Epoch [140][300/2353] lr: 3.227e-04, eta: 3:08:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0315, loss: 1.0315 +2025-06-01 18:02:43,534 - pyskl - INFO - Epoch [140][400/2353] lr: 3.202e-04, eta: 3:07:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0306, loss: 1.0306 +2025-06-01 18:03:27,513 - pyskl - INFO - Epoch [140][500/2353] lr: 3.177e-04, eta: 3:06:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0215, loss: 1.0215 +2025-06-01 18:04:11,612 - pyskl - INFO - Epoch [140][600/2353] lr: 3.152e-04, eta: 3:05:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0114, loss: 1.0114 +2025-06-01 18:04:55,745 - pyskl - INFO - Epoch [140][700/2353] lr: 3.127e-04, eta: 3:05:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0089, loss: 1.0089 +2025-06-01 18:05:39,813 - pyskl - INFO - Epoch [140][800/2353] lr: 3.103e-04, eta: 3:04:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0240, loss: 1.0240 +2025-06-01 18:06:23,813 - pyskl - INFO - Epoch [140][900/2353] lr: 3.078e-04, eta: 3:03:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0309, loss: 1.0309 +2025-06-01 18:07:07,816 - pyskl - INFO - Epoch [140][1000/2353] lr: 3.054e-04, eta: 3:02:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0105, loss: 1.0105 +2025-06-01 18:07:51,900 - pyskl - INFO - Epoch [140][1100/2353] lr: 3.029e-04, eta: 3:02:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0123, loss: 1.0123 +2025-06-01 18:08:35,972 - pyskl - INFO - Epoch [140][1200/2353] lr: 3.005e-04, eta: 3:01:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0140, loss: 1.0140 +2025-06-01 18:09:20,032 - pyskl - INFO - Epoch [140][1300/2353] lr: 2.981e-04, eta: 3:00:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0108, loss: 1.0108 +2025-06-01 18:10:04,156 - pyskl - INFO - Epoch [140][1400/2353] lr: 2.957e-04, eta: 2:59:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0137, loss: 1.0137 +2025-06-01 18:10:48,291 - pyskl - INFO - Epoch [140][1500/2353] lr: 2.933e-04, eta: 2:59:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0234, loss: 1.0234 +2025-06-01 18:11:32,370 - pyskl - INFO - Epoch [140][1600/2353] lr: 2.909e-04, eta: 2:58:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0167, loss: 1.0167 +2025-06-01 18:12:16,565 - pyskl - INFO - Epoch [140][1700/2353] lr: 2.885e-04, eta: 2:57:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0328, loss: 1.0328 +2025-06-01 18:13:00,633 - pyskl - INFO - Epoch [140][1800/2353] lr: 2.861e-04, eta: 2:56:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9939, loss: 0.9939 +2025-06-01 18:13:44,741 - pyskl - INFO - Epoch [140][1900/2353] lr: 2.838e-04, eta: 2:56:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0153, loss: 1.0153 +2025-06-01 18:14:28,901 - pyskl - INFO - Epoch [140][2000/2353] lr: 2.814e-04, eta: 2:55:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0136, loss: 1.0136 +2025-06-01 18:15:13,045 - pyskl - INFO - Epoch [140][2100/2353] lr: 2.791e-04, eta: 2:54:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0128, loss: 1.0128 +2025-06-01 18:15:57,226 - pyskl - INFO - Epoch [140][2200/2353] lr: 2.767e-04, eta: 2:54:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9760, loss: 0.9760 +2025-06-01 18:16:41,372 - pyskl - INFO - Epoch [140][2300/2353] lr: 2.744e-04, eta: 2:53:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0182, loss: 1.0182 +2025-06-01 18:17:05,414 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-06-01 18:25:57,896 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 18:25:57,972 - pyskl - INFO - +top1_acc 0.9654 +top5_acc 0.9955 +2025-06-01 18:25:57,975 - pyskl - INFO - Epoch(val) [140][1184] top1_acc: 0.9654, top5_acc: 0.9955 +2025-06-01 18:27:02,677 - pyskl - INFO - Epoch [141][100/2353] lr: 2.709e-04, eta: 2:52:10, time: 0.647, data_time: 0.203, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0156, loss: 1.0156 +2025-06-01 18:27:47,032 - pyskl - INFO - Epoch [141][200/2353] lr: 2.686e-04, eta: 2:51:26, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0572, loss: 1.0572 +2025-06-01 18:28:31,274 - pyskl - INFO - Epoch [141][300/2353] lr: 2.663e-04, eta: 2:50:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9915, loss: 0.9915 +2025-06-01 18:29:15,565 - pyskl - INFO - Epoch [141][400/2353] lr: 2.640e-04, eta: 2:49:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0309, loss: 1.0309 +2025-06-01 18:29:59,860 - pyskl - INFO - Epoch [141][500/2353] lr: 2.617e-04, eta: 2:49:14, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0023, loss: 1.0023 +2025-06-01 18:30:44,178 - pyskl - INFO - Epoch [141][600/2353] lr: 2.595e-04, eta: 2:48:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0210, loss: 1.0210 +2025-06-01 18:31:28,490 - pyskl - INFO - Epoch [141][700/2353] lr: 2.572e-04, eta: 2:47:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0128, loss: 1.0128 +2025-06-01 18:32:12,714 - pyskl - INFO - Epoch [141][800/2353] lr: 2.550e-04, eta: 2:47:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0371, loss: 1.0371 +2025-06-01 18:32:56,930 - pyskl - INFO - Epoch [141][900/2353] lr: 2.528e-04, eta: 2:46:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9962, loss: 0.9962 +2025-06-01 18:33:41,274 - pyskl - INFO - Epoch [141][1000/2353] lr: 2.505e-04, eta: 2:45:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0467, loss: 1.0467 +2025-06-01 18:34:25,592 - pyskl - INFO - Epoch [141][1100/2353] lr: 2.483e-04, eta: 2:44:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9958, loss: 0.9958 +2025-06-01 18:35:09,920 - pyskl - INFO - Epoch [141][1200/2353] lr: 2.461e-04, eta: 2:44:05, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9977, loss: 0.9977 +2025-06-01 18:35:53,950 - pyskl - INFO - Epoch [141][1300/2353] lr: 2.439e-04, eta: 2:43:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0262, loss: 1.0262 +2025-06-01 18:36:37,903 - pyskl - INFO - Epoch [141][1400/2353] lr: 2.417e-04, eta: 2:42:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9968, loss: 0.9968 +2025-06-01 18:37:21,848 - pyskl - INFO - Epoch [141][1500/2353] lr: 2.396e-04, eta: 2:41:53, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0092, loss: 1.0092 +2025-06-01 18:38:06,097 - pyskl - INFO - Epoch [141][1600/2353] lr: 2.374e-04, eta: 2:41:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9987, loss: 0.9987 +2025-06-01 18:38:50,258 - pyskl - INFO - Epoch [141][1700/2353] lr: 2.353e-04, eta: 2:40:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0235, loss: 1.0235 +2025-06-01 18:39:34,397 - pyskl - INFO - Epoch [141][1800/2353] lr: 2.331e-04, eta: 2:39:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0216, loss: 1.0216 +2025-06-01 18:40:18,605 - pyskl - INFO - Epoch [141][1900/2353] lr: 2.310e-04, eta: 2:38:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0035, loss: 1.0035 +2025-06-01 18:41:02,856 - pyskl - INFO - Epoch [141][2000/2353] lr: 2.289e-04, eta: 2:38:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0150, loss: 1.0150 +2025-06-01 18:41:47,186 - pyskl - INFO - Epoch [141][2100/2353] lr: 2.267e-04, eta: 2:37:29, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0032, loss: 1.0032 +2025-06-01 18:42:31,307 - pyskl - INFO - Epoch [141][2200/2353] lr: 2.246e-04, eta: 2:36:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0307, loss: 1.0307 +2025-06-01 18:43:15,460 - pyskl - INFO - Epoch [141][2300/2353] lr: 2.225e-04, eta: 2:36:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0278, loss: 1.0278 +2025-06-01 18:43:39,480 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-06-01 18:45:08,680 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 18:45:08,761 - pyskl - INFO - +top1_acc 0.9655 +top5_acc 0.9958 +2025-06-01 18:45:08,764 - pyskl - INFO - Epoch(val) [141][1184] top1_acc: 0.9655, top5_acc: 0.9958 +2025-06-01 18:46:14,523 - pyskl - INFO - Epoch [142][100/2353] lr: 2.194e-04, eta: 2:34:53, time: 0.658, data_time: 0.216, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0083, loss: 1.0083 +2025-06-01 18:46:58,845 - pyskl - INFO - Epoch [142][200/2353] lr: 2.173e-04, eta: 2:34:09, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0213, loss: 1.0213 +2025-06-01 18:47:43,577 - pyskl - INFO - Epoch [142][300/2353] lr: 2.152e-04, eta: 2:33:25, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0134, loss: 1.0134 +2025-06-01 18:48:28,054 - pyskl - INFO - Epoch [142][400/2353] lr: 2.132e-04, eta: 2:32:41, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0266, loss: 1.0266 +2025-06-01 18:49:12,638 - pyskl - INFO - Epoch [142][500/2353] lr: 2.111e-04, eta: 2:31:57, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0063, loss: 1.0063 +2025-06-01 18:49:57,006 - pyskl - INFO - Epoch [142][600/2353] lr: 2.091e-04, eta: 2:31:13, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0231, loss: 1.0231 +2025-06-01 18:50:41,280 - pyskl - INFO - Epoch [142][700/2353] lr: 2.071e-04, eta: 2:30:28, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0084, loss: 1.0084 +2025-06-01 18:51:25,617 - pyskl - INFO - Epoch [142][800/2353] lr: 2.051e-04, eta: 2:29:44, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0018, loss: 1.0018 +2025-06-01 18:52:09,862 - pyskl - INFO - Epoch [142][900/2353] lr: 2.031e-04, eta: 2:29:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9861, loss: 0.9861 +2025-06-01 18:52:54,103 - pyskl - INFO - Epoch [142][1000/2353] lr: 2.011e-04, eta: 2:28:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9939, loss: 0.9939 +2025-06-01 18:53:38,412 - pyskl - INFO - Epoch [142][1100/2353] lr: 1.991e-04, eta: 2:27:32, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0263, loss: 1.0263 +2025-06-01 18:54:22,758 - pyskl - INFO - Epoch [142][1200/2353] lr: 1.971e-04, eta: 2:26:48, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0134, loss: 1.0134 +2025-06-01 18:55:06,941 - pyskl - INFO - Epoch [142][1300/2353] lr: 1.951e-04, eta: 2:26:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0177, loss: 1.0177 +2025-06-01 18:55:51,229 - pyskl - INFO - Epoch [142][1400/2353] lr: 1.932e-04, eta: 2:25:20, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9953, loss: 0.9953 +2025-06-01 18:56:35,537 - pyskl - INFO - Epoch [142][1500/2353] lr: 1.913e-04, eta: 2:24:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0204, loss: 1.0204 +2025-06-01 18:57:19,809 - pyskl - INFO - Epoch [142][1600/2353] lr: 1.893e-04, eta: 2:23:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0109, loss: 1.0109 +2025-06-01 18:58:04,137 - pyskl - INFO - Epoch [142][1700/2353] lr: 1.874e-04, eta: 2:23:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0059, loss: 1.0059 +2025-06-01 18:58:48,389 - pyskl - INFO - Epoch [142][1800/2353] lr: 1.855e-04, eta: 2:22:24, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9958, loss: 0.9958 +2025-06-01 18:59:32,809 - pyskl - INFO - Epoch [142][1900/2353] lr: 1.836e-04, eta: 2:21:39, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0280, loss: 1.0280 +2025-06-01 19:00:17,139 - pyskl - INFO - Epoch [142][2000/2353] lr: 1.817e-04, eta: 2:20:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0319, loss: 1.0319 +2025-06-01 19:01:01,455 - pyskl - INFO - Epoch [142][2100/2353] lr: 1.798e-04, eta: 2:20:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0251, loss: 1.0251 +2025-06-01 19:01:45,915 - pyskl - INFO - Epoch [142][2200/2353] lr: 1.779e-04, eta: 2:19:27, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9990, loss: 0.9990 +2025-06-01 19:02:30,461 - pyskl - INFO - Epoch [142][2300/2353] lr: 1.761e-04, eta: 2:18:43, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0152, loss: 1.0152 +2025-06-01 19:02:54,603 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-06-01 19:04:24,043 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 19:04:24,119 - pyskl - INFO - +top1_acc 0.9591 +top5_acc 0.9936 +2025-06-01 19:04:24,123 - pyskl - INFO - Epoch(val) [142][1184] top1_acc: 0.9591, top5_acc: 0.9936 +2025-06-01 19:05:28,686 - pyskl - INFO - Epoch [143][100/2353] lr: 1.732e-04, eta: 2:17:36, time: 0.646, data_time: 0.203, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0423, loss: 1.0423 +2025-06-01 19:06:12,980 - pyskl - INFO - Epoch [143][200/2353] lr: 1.714e-04, eta: 2:16:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0006, loss: 1.0006 +2025-06-01 19:06:57,253 - pyskl - INFO - Epoch [143][300/2353] lr: 1.695e-04, eta: 2:16:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0156, loss: 1.0156 +2025-06-01 19:07:41,555 - pyskl - INFO - Epoch [143][400/2353] lr: 1.677e-04, eta: 2:15:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9958, loss: 0.9958 +2025-06-01 19:08:25,889 - pyskl - INFO - Epoch [143][500/2353] lr: 1.659e-04, eta: 2:14:39, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9905, loss: 0.9905 +2025-06-01 19:09:10,233 - pyskl - INFO - Epoch [143][600/2353] lr: 1.641e-04, eta: 2:13:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0168, loss: 1.0168 +2025-06-01 19:09:54,514 - pyskl - INFO - Epoch [143][700/2353] lr: 1.623e-04, eta: 2:13:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0057, loss: 1.0057 +2025-06-01 19:10:38,731 - pyskl - INFO - Epoch [143][800/2353] lr: 1.605e-04, eta: 2:12:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0200, loss: 1.0200 +2025-06-01 19:11:23,016 - pyskl - INFO - Epoch [143][900/2353] lr: 1.588e-04, eta: 2:11:43, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0036, loss: 1.0036 +2025-06-01 19:12:07,312 - pyskl - INFO - Epoch [143][1000/2353] lr: 1.570e-04, eta: 2:10:59, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0112, loss: 1.0112 +2025-06-01 19:12:51,588 - pyskl - INFO - Epoch [143][1100/2353] lr: 1.552e-04, eta: 2:10:15, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0057, loss: 1.0057 +2025-06-01 19:13:35,898 - pyskl - INFO - Epoch [143][1200/2353] lr: 1.535e-04, eta: 2:09:31, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0080, loss: 1.0080 +2025-06-01 19:14:20,199 - pyskl - INFO - Epoch [143][1300/2353] lr: 1.518e-04, eta: 2:08:47, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0153, loss: 1.0153 +2025-06-01 19:15:04,441 - pyskl - INFO - Epoch [143][1400/2353] lr: 1.500e-04, eta: 2:08:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9979, loss: 0.9979 +2025-06-01 19:15:48,695 - pyskl - INFO - Epoch [143][1500/2353] lr: 1.483e-04, eta: 2:07:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0062, loss: 1.0062 +2025-06-01 19:16:32,939 - pyskl - INFO - Epoch [143][1600/2353] lr: 1.466e-04, eta: 2:06:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9903, loss: 0.9903 +2025-06-01 19:17:17,251 - pyskl - INFO - Epoch [143][1700/2353] lr: 1.449e-04, eta: 2:05:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9826, loss: 0.9826 +2025-06-01 19:18:01,592 - pyskl - INFO - Epoch [143][1800/2353] lr: 1.433e-04, eta: 2:05:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0119, loss: 1.0119 +2025-06-01 19:18:45,931 - pyskl - INFO - Epoch [143][1900/2353] lr: 1.416e-04, eta: 2:04:22, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9979, loss: 0.9979 +2025-06-01 19:19:30,220 - pyskl - INFO - Epoch [143][2000/2353] lr: 1.399e-04, eta: 2:03:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0198, loss: 1.0198 +2025-06-01 19:20:14,912 - pyskl - INFO - Epoch [143][2100/2353] lr: 1.383e-04, eta: 2:02:54, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0053, loss: 1.0053 +2025-06-01 19:20:59,337 - pyskl - INFO - Epoch [143][2200/2353] lr: 1.366e-04, eta: 2:02:10, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0105, loss: 1.0105 +2025-06-01 19:21:43,660 - pyskl - INFO - Epoch [143][2300/2353] lr: 1.350e-04, eta: 2:01:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0183, loss: 1.0183 +2025-06-01 19:22:07,685 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-06-01 19:23:36,764 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 19:23:36,840 - pyskl - INFO - +top1_acc 0.9667 +top5_acc 0.9954 +2025-06-01 19:23:36,893 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_138.pth was removed +2025-06-01 19:23:37,918 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_143.pth. +2025-06-01 19:23:37,919 - pyskl - INFO - Best top1_acc is 0.9667 at 143 epoch. +2025-06-01 19:23:37,922 - pyskl - INFO - Epoch(val) [143][1184] top1_acc: 0.9667, top5_acc: 0.9954 +2025-06-01 19:24:42,298 - pyskl - INFO - Epoch [144][100/2353] lr: 1.325e-04, eta: 2:00:18, time: 0.644, data_time: 0.198, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0067, loss: 1.0067 +2025-06-01 19:25:26,339 - pyskl - INFO - Epoch [144][200/2353] lr: 1.309e-04, eta: 1:59:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0053, loss: 1.0053 +2025-06-01 19:26:10,420 - pyskl - INFO - Epoch [144][300/2353] lr: 1.293e-04, eta: 1:58:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9985, loss: 0.9985 +2025-06-01 19:26:54,406 - pyskl - INFO - Epoch [144][400/2353] lr: 1.277e-04, eta: 1:58:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0310, loss: 1.0310 +2025-06-01 19:27:38,473 - pyskl - INFO - Epoch [144][500/2353] lr: 1.261e-04, eta: 1:57:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9863, loss: 0.9863 +2025-06-01 19:28:22,423 - pyskl - INFO - Epoch [144][600/2353] lr: 1.245e-04, eta: 1:56:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0100, loss: 1.0100 +2025-06-01 19:29:06,413 - pyskl - INFO - Epoch [144][700/2353] lr: 1.230e-04, eta: 1:55:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0232, loss: 1.0232 +2025-06-01 19:29:50,427 - pyskl - INFO - Epoch [144][800/2353] lr: 1.214e-04, eta: 1:55:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9960, loss: 0.9960 +2025-06-01 19:30:34,592 - pyskl - INFO - Epoch [144][900/2353] lr: 1.199e-04, eta: 1:54:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0240, loss: 1.0240 +2025-06-01 19:31:18,690 - pyskl - INFO - Epoch [144][1000/2353] lr: 1.183e-04, eta: 1:53:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0073, loss: 1.0073 +2025-06-01 19:32:02,772 - pyskl - INFO - Epoch [144][1100/2353] lr: 1.168e-04, eta: 1:52:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9908, loss: 0.9908 +2025-06-01 19:32:46,782 - pyskl - INFO - Epoch [144][1200/2353] lr: 1.153e-04, eta: 1:52:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0345, loss: 1.0345 +2025-06-01 19:33:30,892 - pyskl - INFO - Epoch [144][1300/2353] lr: 1.138e-04, eta: 1:51:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9883, loss: 0.9883 +2025-06-01 19:34:14,976 - pyskl - INFO - Epoch [144][1400/2353] lr: 1.123e-04, eta: 1:50:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0072, loss: 1.0072 +2025-06-01 19:34:59,061 - pyskl - INFO - Epoch [144][1500/2353] lr: 1.108e-04, eta: 1:50:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0024, loss: 1.0024 +2025-06-01 19:35:43,204 - pyskl - INFO - Epoch [144][1600/2353] lr: 1.094e-04, eta: 1:49:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0205, loss: 1.0205 +2025-06-01 19:36:27,233 - pyskl - INFO - Epoch [144][1700/2353] lr: 1.079e-04, eta: 1:48:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0015, loss: 1.0015 +2025-06-01 19:37:11,323 - pyskl - INFO - Epoch [144][1800/2353] lr: 1.064e-04, eta: 1:47:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0046, loss: 1.0046 +2025-06-01 19:37:55,674 - pyskl - INFO - Epoch [144][1900/2353] lr: 1.050e-04, eta: 1:47:04, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0348, loss: 1.0348 +2025-06-01 19:38:39,841 - pyskl - INFO - Epoch [144][2000/2353] lr: 1.036e-04, eta: 1:46:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0162, loss: 1.0162 +2025-06-01 19:39:23,914 - pyskl - INFO - Epoch [144][2100/2353] lr: 1.021e-04, eta: 1:45:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0081, loss: 1.0081 +2025-06-01 19:40:07,957 - pyskl - INFO - Epoch [144][2200/2353] lr: 1.007e-04, eta: 1:44:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9830, loss: 0.9830 +2025-06-01 19:40:51,940 - pyskl - INFO - Epoch [144][2300/2353] lr: 9.932e-05, eta: 1:44:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0224, loss: 1.0224 +2025-06-01 19:41:15,901 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-06-01 19:42:45,409 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 19:42:45,486 - pyskl - INFO - +top1_acc 0.9670 +top5_acc 0.9956 +2025-06-01 19:42:45,542 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_143.pth was removed +2025-06-01 19:42:46,609 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. +2025-06-01 19:42:46,610 - pyskl - INFO - Best top1_acc is 0.9670 at 144 epoch. +2025-06-01 19:42:46,613 - pyskl - INFO - Epoch(val) [144][1184] top1_acc: 0.9670, top5_acc: 0.9956 +2025-06-01 19:43:50,672 - pyskl - INFO - Epoch [145][100/2353] lr: 9.719e-05, eta: 1:43:00, time: 0.641, data_time: 0.199, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9872, loss: 0.9872 +2025-06-01 19:44:34,755 - pyskl - INFO - Epoch [145][200/2353] lr: 9.581e-05, eta: 1:42:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0037, loss: 1.0037 +2025-06-01 19:45:18,961 - pyskl - INFO - Epoch [145][300/2353] lr: 9.444e-05, eta: 1:41:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9952, loss: 0.9952 +2025-06-01 19:46:03,058 - pyskl - INFO - Epoch [145][400/2353] lr: 9.308e-05, eta: 1:40:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0027, loss: 1.0027 +2025-06-01 19:46:47,149 - pyskl - INFO - Epoch [145][500/2353] lr: 9.173e-05, eta: 1:40:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9833, loss: 0.9833 +2025-06-01 19:47:31,198 - pyskl - INFO - Epoch [145][600/2353] lr: 9.039e-05, eta: 1:39:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0046, loss: 1.0046 +2025-06-01 19:48:15,321 - pyskl - INFO - Epoch [145][700/2353] lr: 8.906e-05, eta: 1:38:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0055, loss: 1.0055 +2025-06-01 19:48:59,428 - pyskl - INFO - Epoch [145][800/2353] lr: 8.774e-05, eta: 1:37:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0043, loss: 1.0043 +2025-06-01 19:49:43,521 - pyskl - INFO - Epoch [145][900/2353] lr: 8.643e-05, eta: 1:37:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9990, loss: 0.9990 +2025-06-01 19:50:27,672 - pyskl - INFO - Epoch [145][1000/2353] lr: 8.513e-05, eta: 1:36:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.9988, loss: 0.9988 +2025-06-01 19:51:11,741 - pyskl - INFO - Epoch [145][1100/2353] lr: 8.383e-05, eta: 1:35:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0325, loss: 1.0325 +2025-06-01 19:51:55,672 - pyskl - INFO - Epoch [145][1200/2353] lr: 8.255e-05, eta: 1:34:55, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.9936, loss: 0.9936 +2025-06-01 19:52:39,648 - pyskl - INFO - Epoch [145][1300/2353] lr: 8.128e-05, eta: 1:34:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0160, loss: 1.0160 +2025-06-01 19:53:23,757 - pyskl - INFO - Epoch [145][1400/2353] lr: 8.002e-05, eta: 1:33:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0124, loss: 1.0124 +2025-06-01 19:54:07,796 - pyskl - INFO - Epoch [145][1500/2353] lr: 7.877e-05, eta: 1:32:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0056, loss: 1.0056 +2025-06-01 19:54:52,166 - pyskl - INFO - Epoch [145][1600/2353] lr: 7.753e-05, eta: 1:31:59, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0086, loss: 1.0086 +2025-06-01 19:55:36,583 - pyskl - INFO - Epoch [145][1700/2353] lr: 7.629e-05, eta: 1:31:15, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0045, loss: 1.0045 +2025-06-01 19:56:20,759 - pyskl - INFO - Epoch [145][1800/2353] lr: 7.507e-05, eta: 1:30:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9931, loss: 0.9931 +2025-06-01 19:57:04,938 - pyskl - INFO - Epoch [145][1900/2353] lr: 7.386e-05, eta: 1:29:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0186, loss: 1.0186 +2025-06-01 19:57:49,131 - pyskl - INFO - Epoch [145][2000/2353] lr: 7.266e-05, eta: 1:29:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0268, loss: 1.0268 +2025-06-01 19:58:33,226 - pyskl - INFO - Epoch [145][2100/2353] lr: 7.146e-05, eta: 1:28:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9841, loss: 0.9841 +2025-06-01 19:59:17,266 - pyskl - INFO - Epoch [145][2200/2353] lr: 7.028e-05, eta: 1:27:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0132, loss: 1.0132 +2025-06-01 20:00:01,161 - pyskl - INFO - Epoch [145][2300/2353] lr: 6.911e-05, eta: 1:26:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9798, loss: 0.9798 +2025-06-01 20:00:24,995 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-06-01 20:09:35,419 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 20:09:35,496 - pyskl - INFO - +top1_acc 0.9611 +top5_acc 0.9946 +2025-06-01 20:09:35,500 - pyskl - INFO - Epoch(val) [145][1184] top1_acc: 0.9611, top5_acc: 0.9946 +2025-06-01 20:10:40,553 - pyskl - INFO - Epoch [146][100/2353] lr: 6.733e-05, eta: 1:25:43, time: 0.650, data_time: 0.209, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0027, loss: 1.0027 +2025-06-01 20:11:24,700 - pyskl - INFO - Epoch [146][200/2353] lr: 6.618e-05, eta: 1:24:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.9909, loss: 0.9909 +2025-06-01 20:12:08,943 - pyskl - INFO - Epoch [146][300/2353] lr: 6.504e-05, eta: 1:24:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0094, loss: 1.0094 +2025-06-01 20:12:53,125 - pyskl - INFO - Epoch [146][400/2353] lr: 6.391e-05, eta: 1:23:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0058, loss: 1.0058 +2025-06-01 20:13:37,400 - pyskl - INFO - Epoch [146][500/2353] lr: 6.280e-05, eta: 1:22:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0074, loss: 1.0074 +2025-06-01 20:14:21,688 - pyskl - INFO - Epoch [146][600/2353] lr: 6.169e-05, eta: 1:22:02, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9937, loss: 0.9937 +2025-06-01 20:15:05,987 - pyskl - INFO - Epoch [146][700/2353] lr: 6.059e-05, eta: 1:21:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0055, loss: 1.0055 +2025-06-01 20:15:50,317 - pyskl - INFO - Epoch [146][800/2353] lr: 5.950e-05, eta: 1:20:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0165, loss: 1.0165 +2025-06-01 20:16:34,602 - pyskl - INFO - Epoch [146][900/2353] lr: 5.842e-05, eta: 1:19:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0148, loss: 1.0148 +2025-06-01 20:17:18,840 - pyskl - INFO - Epoch [146][1000/2353] lr: 5.735e-05, eta: 1:19:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9954, loss: 0.9954 +2025-06-01 20:18:03,062 - pyskl - INFO - Epoch [146][1100/2353] lr: 5.629e-05, eta: 1:18:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 1.0046, loss: 1.0046 +2025-06-01 20:18:47,241 - pyskl - INFO - Epoch [146][1200/2353] lr: 5.524e-05, eta: 1:17:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9995, loss: 0.9995 +2025-06-01 20:19:31,572 - pyskl - INFO - Epoch [146][1300/2353] lr: 5.420e-05, eta: 1:16:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9859, loss: 0.9859 +2025-06-01 20:20:15,865 - pyskl - INFO - Epoch [146][1400/2353] lr: 5.317e-05, eta: 1:16:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9806, loss: 0.9806 +2025-06-01 20:21:00,093 - pyskl - INFO - Epoch [146][1500/2353] lr: 5.215e-05, eta: 1:15:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9717, loss: 0.9717 +2025-06-01 20:21:44,325 - pyskl - INFO - Epoch [146][1600/2353] lr: 5.114e-05, eta: 1:14:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0126, loss: 1.0126 +2025-06-01 20:22:28,696 - pyskl - INFO - Epoch [146][1700/2353] lr: 5.014e-05, eta: 1:13:57, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0326, loss: 1.0326 +2025-06-01 20:23:13,017 - pyskl - INFO - Epoch [146][1800/2353] lr: 4.915e-05, eta: 1:13:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0096, loss: 1.0096 +2025-06-01 20:23:57,215 - pyskl - INFO - Epoch [146][1900/2353] lr: 4.817e-05, eta: 1:12:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9802, loss: 0.9802 +2025-06-01 20:24:41,462 - pyskl - INFO - Epoch [146][2000/2353] lr: 4.720e-05, eta: 1:11:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9920, loss: 0.9920 +2025-06-01 20:25:25,721 - pyskl - INFO - Epoch [146][2100/2353] lr: 4.624e-05, eta: 1:11:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0141, loss: 1.0141 +2025-06-01 20:26:09,890 - pyskl - INFO - Epoch [146][2200/2353] lr: 4.528e-05, eta: 1:10:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0021, loss: 1.0021 +2025-06-01 20:26:54,204 - pyskl - INFO - Epoch [146][2300/2353] lr: 4.434e-05, eta: 1:09:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9675, loss: 0.9675 +2025-06-01 20:27:18,168 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-06-01 20:28:47,650 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 20:28:47,726 - pyskl - INFO - +top1_acc 0.9671 +top5_acc 0.9955 +2025-06-01 20:28:47,778 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_144.pth was removed +2025-06-01 20:28:48,774 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_146.pth. +2025-06-01 20:28:48,774 - pyskl - INFO - Best top1_acc is 0.9671 at 146 epoch. +2025-06-01 20:28:48,777 - pyskl - INFO - Epoch(val) [146][1184] top1_acc: 0.9671, top5_acc: 0.9955 +2025-06-01 20:29:53,992 - pyskl - INFO - Epoch [147][100/2353] lr: 4.292e-05, eta: 1:08:25, time: 0.652, data_time: 0.210, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9836, loss: 0.9836 +2025-06-01 20:30:38,209 - pyskl - INFO - Epoch [147][200/2353] lr: 4.201e-05, eta: 1:07:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0156, loss: 1.0156 +2025-06-01 20:31:22,404 - pyskl - INFO - Epoch [147][300/2353] lr: 4.110e-05, eta: 1:06:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9804, loss: 0.9804 +2025-06-01 20:32:06,890 - pyskl - INFO - Epoch [147][400/2353] lr: 4.020e-05, eta: 1:06:13, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9988, loss: 0.9988 +2025-06-01 20:32:51,167 - pyskl - INFO - Epoch [147][500/2353] lr: 3.932e-05, eta: 1:05:29, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9976, loss: 0.9976 +2025-06-01 20:33:35,344 - pyskl - INFO - Epoch [147][600/2353] lr: 3.844e-05, eta: 1:04:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0017, loss: 1.0017 +2025-06-01 20:34:19,642 - pyskl - INFO - Epoch [147][700/2353] lr: 3.757e-05, eta: 1:04:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0185, loss: 1.0185 +2025-06-01 20:35:04,093 - pyskl - INFO - Epoch [147][800/2353] lr: 3.672e-05, eta: 1:03:17, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9950, loss: 0.9950 +2025-06-01 20:35:48,537 - pyskl - INFO - Epoch [147][900/2353] lr: 3.587e-05, eta: 1:02:33, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0184, loss: 1.0184 +2025-06-01 20:36:33,056 - pyskl - INFO - Epoch [147][1000/2353] lr: 3.503e-05, eta: 1:01:49, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0261, loss: 1.0261 +2025-06-01 20:37:17,630 - pyskl - INFO - Epoch [147][1100/2353] lr: 3.420e-05, eta: 1:01:05, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9851, loss: 0.9851 +2025-06-01 20:38:01,939 - pyskl - INFO - Epoch [147][1200/2353] lr: 3.339e-05, eta: 1:00:20, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0202, loss: 1.0202 +2025-06-01 20:38:46,263 - pyskl - INFO - Epoch [147][1300/2353] lr: 3.258e-05, eta: 0:59:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9863, loss: 0.9863 +2025-06-01 20:39:30,601 - pyskl - INFO - Epoch [147][1400/2353] lr: 3.178e-05, eta: 0:58:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9988, loss: 0.9988 +2025-06-01 20:40:14,985 - pyskl - INFO - Epoch [147][1500/2353] lr: 3.099e-05, eta: 0:58:08, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0176, loss: 1.0176 +2025-06-01 20:40:59,315 - pyskl - INFO - Epoch [147][1600/2353] lr: 3.021e-05, eta: 0:57:24, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0026, loss: 1.0026 +2025-06-01 20:41:43,455 - pyskl - INFO - Epoch [147][1700/2353] lr: 2.945e-05, eta: 0:56:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0071, loss: 1.0071 +2025-06-01 20:42:27,622 - pyskl - INFO - Epoch [147][1800/2353] lr: 2.869e-05, eta: 0:55:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0145, loss: 1.0145 +2025-06-01 20:43:11,961 - pyskl - INFO - Epoch [147][1900/2353] lr: 2.794e-05, eta: 0:55:12, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9883, loss: 0.9883 +2025-06-01 20:43:56,206 - pyskl - INFO - Epoch [147][2000/2353] lr: 2.720e-05, eta: 0:54:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9979, loss: 0.9979 +2025-06-01 20:44:40,405 - pyskl - INFO - Epoch [147][2100/2353] lr: 2.647e-05, eta: 0:53:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0017, loss: 1.0017 +2025-06-01 20:45:24,583 - pyskl - INFO - Epoch [147][2200/2353] lr: 2.575e-05, eta: 0:53:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0261, loss: 1.0261 +2025-06-01 20:46:08,642 - pyskl - INFO - Epoch [147][2300/2353] lr: 2.504e-05, eta: 0:52:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9979, loss: 0.9979 +2025-06-01 20:46:32,539 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-06-01 20:48:01,556 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 20:48:01,632 - pyskl - INFO - +top1_acc 0.9535 +top5_acc 0.9898 +2025-06-01 20:48:01,635 - pyskl - INFO - Epoch(val) [147][1184] top1_acc: 0.9535, top5_acc: 0.9898 +2025-06-01 20:49:06,352 - pyskl - INFO - Epoch [148][100/2353] lr: 2.398e-05, eta: 0:51:08, time: 0.647, data_time: 0.201, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0044, loss: 1.0044 +2025-06-01 20:49:50,477 - pyskl - INFO - Epoch [148][200/2353] lr: 2.330e-05, eta: 0:50:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0070, loss: 1.0070 +2025-06-01 20:50:34,520 - pyskl - INFO - Epoch [148][300/2353] lr: 2.262e-05, eta: 0:49:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0325, loss: 1.0325 +2025-06-01 20:51:18,566 - pyskl - INFO - Epoch [148][400/2353] lr: 2.196e-05, eta: 0:48:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9944, loss: 0.9944 +2025-06-01 20:52:02,629 - pyskl - INFO - Epoch [148][500/2353] lr: 2.130e-05, eta: 0:48:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0221, loss: 1.0221 +2025-06-01 20:52:46,608 - pyskl - INFO - Epoch [148][600/2353] lr: 2.066e-05, eta: 0:47:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9915, loss: 0.9915 +2025-06-01 20:53:30,616 - pyskl - INFO - Epoch [148][700/2353] lr: 2.002e-05, eta: 0:46:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0003, loss: 1.0003 +2025-06-01 20:54:14,513 - pyskl - INFO - Epoch [148][800/2353] lr: 1.940e-05, eta: 0:45:59, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0076, loss: 1.0076 +2025-06-01 20:54:58,531 - pyskl - INFO - Epoch [148][900/2353] lr: 1.878e-05, eta: 0:45:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9904, loss: 0.9904 +2025-06-01 20:55:42,490 - pyskl - INFO - Epoch [148][1000/2353] lr: 1.818e-05, eta: 0:44:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0034, loss: 1.0034 +2025-06-01 20:56:26,614 - pyskl - INFO - Epoch [148][1100/2353] lr: 1.759e-05, eta: 0:43:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9772, loss: 0.9772 +2025-06-01 20:57:10,730 - pyskl - INFO - Epoch [148][1200/2353] lr: 1.700e-05, eta: 0:43:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9902, loss: 0.9902 +2025-06-01 20:57:54,602 - pyskl - INFO - Epoch [148][1300/2353] lr: 1.642e-05, eta: 0:42:19, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9964, loss: 0.9964 +2025-06-01 20:58:38,616 - pyskl - INFO - Epoch [148][1400/2353] lr: 1.586e-05, eta: 0:41:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9968, loss: 0.9968 +2025-06-01 20:59:22,547 - pyskl - INFO - Epoch [148][1500/2353] lr: 1.530e-05, eta: 0:40:51, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0193, loss: 1.0193 +2025-06-01 21:00:06,302 - pyskl - INFO - Epoch [148][1600/2353] lr: 1.476e-05, eta: 0:40:07, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0227, loss: 1.0227 +2025-06-01 21:00:50,372 - pyskl - INFO - Epoch [148][1700/2353] lr: 1.422e-05, eta: 0:39:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9952, loss: 0.9952 +2025-06-01 21:01:34,198 - pyskl - INFO - Epoch [148][1800/2353] lr: 1.370e-05, eta: 0:38:38, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.9745, loss: 0.9745 +2025-06-01 21:02:18,201 - pyskl - INFO - Epoch [148][1900/2353] lr: 1.318e-05, eta: 0:37:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0048, loss: 1.0048 +2025-06-01 21:03:02,139 - pyskl - INFO - Epoch [148][2000/2353] lr: 1.268e-05, eta: 0:37:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9788, loss: 0.9788 +2025-06-01 21:03:46,301 - pyskl - INFO - Epoch [148][2100/2353] lr: 1.218e-05, eta: 0:36:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0001, loss: 1.0001 +2025-06-01 21:04:30,237 - pyskl - INFO - Epoch [148][2200/2353] lr: 1.169e-05, eta: 0:35:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0053, loss: 1.0053 +2025-06-01 21:05:14,192 - pyskl - INFO - Epoch [148][2300/2353] lr: 1.122e-05, eta: 0:34:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0127, loss: 1.0127 +2025-06-01 21:05:37,887 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-06-01 21:07:06,313 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 21:07:06,388 - pyskl - INFO - +top1_acc 0.9667 +top5_acc 0.9955 +2025-06-01 21:07:06,391 - pyskl - INFO - Epoch(val) [148][1184] top1_acc: 0.9667, top5_acc: 0.9955 +2025-06-01 21:08:10,579 - pyskl - INFO - Epoch [149][100/2353] lr: 1.051e-05, eta: 0:33:50, time: 0.642, data_time: 0.201, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0105, loss: 1.0105 +2025-06-01 21:08:54,639 - pyskl - INFO - Epoch [149][200/2353] lr: 1.006e-05, eta: 0:33:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9997, loss: 0.9997 +2025-06-01 21:09:38,776 - pyskl - INFO - Epoch [149][300/2353] lr: 9.616e-06, eta: 0:32:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9948, loss: 0.9948 +2025-06-01 21:10:22,986 - pyskl - INFO - Epoch [149][400/2353] lr: 9.184e-06, eta: 0:31:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9935, loss: 0.9935 +2025-06-01 21:11:07,210 - pyskl - INFO - Epoch [149][500/2353] lr: 8.763e-06, eta: 0:30:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9842, loss: 0.9842 +2025-06-01 21:11:51,485 - pyskl - INFO - Epoch [149][600/2353] lr: 8.351e-06, eta: 0:30:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9955, loss: 0.9955 +2025-06-01 21:12:35,672 - pyskl - INFO - Epoch [149][700/2353] lr: 7.950e-06, eta: 0:29:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9994, loss: 0.9994 +2025-06-01 21:13:19,777 - pyskl - INFO - Epoch [149][800/2353] lr: 7.558e-06, eta: 0:28:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9899, loss: 0.9899 +2025-06-01 21:14:03,916 - pyskl - INFO - Epoch [149][900/2353] lr: 7.176e-06, eta: 0:27:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9790, loss: 0.9790 +2025-06-01 21:14:48,001 - pyskl - INFO - Epoch [149][1000/2353] lr: 6.804e-06, eta: 0:27:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9868, loss: 0.9868 +2025-06-01 21:15:32,084 - pyskl - INFO - Epoch [149][1100/2353] lr: 6.442e-06, eta: 0:26:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0109, loss: 1.0109 +2025-06-01 21:16:16,283 - pyskl - INFO - Epoch [149][1200/2353] lr: 6.090e-06, eta: 0:25:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9901, loss: 0.9901 +2025-06-01 21:17:00,456 - pyskl - INFO - Epoch [149][1300/2353] lr: 5.747e-06, eta: 0:25:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0154, loss: 1.0154 +2025-06-01 21:17:44,559 - pyskl - INFO - Epoch [149][1400/2353] lr: 5.415e-06, eta: 0:24:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0087, loss: 1.0087 +2025-06-01 21:18:28,551 - pyskl - INFO - Epoch [149][1500/2353] lr: 5.092e-06, eta: 0:23:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9800, loss: 0.9800 +2025-06-01 21:19:12,601 - pyskl - INFO - Epoch [149][1600/2353] lr: 4.780e-06, eta: 0:22:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9915, loss: 0.9915 +2025-06-01 21:19:56,748 - pyskl - INFO - Epoch [149][1700/2353] lr: 4.477e-06, eta: 0:22:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0053, loss: 1.0053 +2025-06-01 21:20:40,899 - pyskl - INFO - Epoch [149][1800/2353] lr: 4.184e-06, eta: 0:21:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0096, loss: 1.0096 +2025-06-01 21:21:25,117 - pyskl - INFO - Epoch [149][1900/2353] lr: 3.901e-06, eta: 0:20:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.9641, loss: 0.9641 +2025-06-01 21:22:09,245 - pyskl - INFO - Epoch [149][2000/2353] lr: 3.628e-06, eta: 0:19:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0208, loss: 1.0208 +2025-06-01 21:22:53,360 - pyskl - INFO - Epoch [149][2100/2353] lr: 3.365e-06, eta: 0:19:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0230, loss: 1.0230 +2025-06-01 21:23:37,502 - pyskl - INFO - Epoch [149][2200/2353] lr: 3.112e-06, eta: 0:18:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0010, loss: 1.0010 +2025-06-01 21:24:21,632 - pyskl - INFO - Epoch [149][2300/2353] lr: 2.869e-06, eta: 0:17:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0328, loss: 1.0328 +2025-06-01 21:24:45,523 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-06-01 21:26:14,449 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 21:26:14,524 - pyskl - INFO - +top1_acc 0.9600 +top5_acc 0.9934 +2025-06-01 21:26:14,527 - pyskl - INFO - Epoch(val) [149][1184] top1_acc: 0.9600, top5_acc: 0.9934 +2025-06-01 21:27:19,517 - pyskl - INFO - Epoch [150][100/2353] lr: 2.516e-06, eta: 0:16:33, time: 0.650, data_time: 0.210, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9900, loss: 0.9900 +2025-06-01 21:28:03,536 - pyskl - INFO - Epoch [150][200/2353] lr: 2.297e-06, eta: 0:15:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0082, loss: 1.0082 +2025-06-01 21:28:47,630 - pyskl - INFO - Epoch [150][300/2353] lr: 2.089e-06, eta: 0:15:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9771, loss: 0.9771 +2025-06-01 21:29:31,825 - pyskl - INFO - Epoch [150][400/2353] lr: 1.891e-06, eta: 0:14:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0062, loss: 1.0062 +2025-06-01 21:30:15,954 - pyskl - INFO - Epoch [150][500/2353] lr: 1.702e-06, eta: 0:13:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0054, loss: 1.0054 +2025-06-01 21:30:59,940 - pyskl - INFO - Epoch [150][600/2353] lr: 1.523e-06, eta: 0:12:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9958, loss: 0.9958 +2025-06-01 21:31:43,927 - pyskl - INFO - Epoch [150][700/2353] lr: 1.355e-06, eta: 0:12:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9869, loss: 0.9869 +2025-06-01 21:32:27,913 - pyskl - INFO - Epoch [150][800/2353] lr: 1.196e-06, eta: 0:11:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0037, loss: 1.0037 +2025-06-01 21:33:11,953 - pyskl - INFO - Epoch [150][900/2353] lr: 1.047e-06, eta: 0:10:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0225, loss: 1.0225 +2025-06-01 21:33:55,982 - pyskl - INFO - Epoch [150][1000/2353] lr: 9.078e-07, eta: 0:09:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0032, loss: 1.0032 +2025-06-01 21:34:40,065 - pyskl - INFO - Epoch [150][1100/2353] lr: 7.787e-07, eta: 0:09:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9674, loss: 0.9674 +2025-06-01 21:35:24,231 - pyskl - INFO - Epoch [150][1200/2353] lr: 6.594e-07, eta: 0:08:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9970, loss: 0.9970 +2025-06-01 21:36:08,448 - pyskl - INFO - Epoch [150][1300/2353] lr: 5.501e-07, eta: 0:07:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9854, loss: 0.9854 +2025-06-01 21:36:52,550 - pyskl - INFO - Epoch [150][1400/2353] lr: 4.507e-07, eta: 0:07:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0389, loss: 1.0389 +2025-06-01 21:37:36,716 - pyskl - INFO - Epoch [150][1500/2353] lr: 3.611e-07, eta: 0:06:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0122, loss: 1.0122 +2025-06-01 21:38:20,798 - pyskl - INFO - Epoch [150][1600/2353] lr: 2.815e-07, eta: 0:05:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9719, loss: 0.9719 +2025-06-01 21:39:04,841 - pyskl - INFO - Epoch [150][1700/2353] lr: 2.118e-07, eta: 0:04:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9829, loss: 0.9829 +2025-06-01 21:39:48,875 - pyskl - INFO - Epoch [150][1800/2353] lr: 1.520e-07, eta: 0:04:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0025, loss: 1.0025 +2025-06-01 21:40:32,953 - pyskl - INFO - Epoch [150][1900/2353] lr: 1.021e-07, eta: 0:03:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0173, loss: 1.0173 +2025-06-01 21:41:17,093 - pyskl - INFO - Epoch [150][2000/2353] lr: 6.205e-08, eta: 0:02:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.9756, loss: 0.9756 +2025-06-01 21:42:01,130 - pyskl - INFO - Epoch [150][2100/2353] lr: 3.195e-08, eta: 0:01:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0037, loss: 1.0037 +2025-06-01 21:42:45,173 - pyskl - INFO - Epoch [150][2200/2353] lr: 1.174e-08, eta: 0:01:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0233, loss: 1.0233 +2025-06-01 21:43:29,209 - pyskl - INFO - Epoch [150][2300/2353] lr: 1.444e-09, eta: 0:00:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.9952, loss: 0.9952 +2025-06-01 21:43:53,105 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-06-01 21:45:22,192 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-01 21:45:22,266 - pyskl - INFO - +top1_acc 0.9678 +top5_acc 0.9954 +2025-06-01 21:45:22,322 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_146.pth was removed +2025-06-01 21:45:23,333 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_150.pth. +2025-06-01 21:45:23,334 - pyskl - INFO - Best top1_acc is 0.9678 at 150 epoch. +2025-06-01 21:45:23,337 - pyskl - INFO - Epoch(val) [150][1184] top1_acc: 0.9678, top5_acc: 0.9954 +2025-06-01 21:45:30,999 - pyskl - INFO - 18932 videos remain after valid thresholding +2025-06-01 21:56:38,171 - pyskl - INFO - Testing results of the last checkpoint +2025-06-01 21:56:38,172 - pyskl - INFO - top1_acc: 0.9694 +2025-06-01 21:56:38,172 - pyskl - INFO - top5_acc: 0.9958 +2025-06-01 21:56:38,172 - pyskl - INFO - load checkpoint from local path: ./work_dirs/ntu60_xview/b_1/best_top1_acc_epoch_150.pth +2025-06-01 22:07:44,345 - pyskl - INFO - Testing results of the best checkpoint +2025-06-01 22:07:44,346 - pyskl - INFO - top1_acc: 0.9694 +2025-06-01 22:07:44,346 - pyskl - INFO - top5_acc: 0.9958