| 2025-05-15 13:42:31,573 - pyskl - INFO - Environment info: |
| ------------------------------------------------------------ |
| sys.platform: linux |
| Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] |
| CUDA available: True |
| GPU 0: Tesla V100-PCIE-32GB |
| CUDA_HOME: /usr/local/cuda-11.7 |
| NVCC: Cuda compilation tools, release 11.7, V11.7.64 |
| GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 |
| PyTorch: 1.11.0 |
| PyTorch compiling details: PyTorch built with: |
| - GCC 7.3 |
| - C++ Version: 201402 |
| - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications |
| - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) |
| - OpenMP 201511 (a.k.a. OpenMP 4.5) |
| - LAPACK is enabled (usually provided by MKL) |
| - NNPACK is enabled |
| - CPU capability usage: AVX2 |
| - CUDA Runtime 11.3 |
| - 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 8.2 |
| - Magma 2.5.2 |
| - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, 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 -DEDGE_PROFILER_USE_KINETO -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-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=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, |
|
|
| TorchVision: 0.12.0 |
| OpenCV: 4.8.0 |
| MMCV: 1.5.0 |
| MMCV Compiler: GCC 7.3 |
| MMCV CUDA Compiler: 11.3 |
| pyskl: 0.1.0+ |
| ------------------------------------------------------------ |
|
|
| 2025-05-15 13:42:31,846 - pyskl - INFO - Config: modality = 'b' |
| graph = 'uav' |
| work_dir = './work_dirs/uav_csv2/b_1' |
| model = dict( |
| type='RecognizerGCN', |
| backbone=dict( |
| type='GCN_Module_LLM', |
| llm_model='gpt4o', |
| llm_modality='b', |
| num_classes=155, |
| tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], |
| graph_cfg=dict( |
| layout='uav', |
| mode='random', |
| num_filter=8, |
| init_off=0.04, |
| init_std=0.02)), |
| cls_head=dict( |
| type='SimpleHead', |
| joint_cfg='uav', |
| num_classes=155, |
| in_channels=384, |
| work_dir='./work_dirs/uav_csv2/b_1', |
| interval_epoch=10, |
| weight_1=0.3, |
| weight_2=0.05)) |
| dataset_type = 'PoseDataset' |
| ann_file = '/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl' |
| train_pipeline = [ |
| dict(type='UniformSampleFrames', clip_len=100), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ] |
| val_pipeline = [ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=1), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ] |
| test_pipeline = [ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=10), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| 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/uav/uav_human_CSv2.pkl', |
| pipeline=[ |
| dict(type='UniformSampleFrames', clip_len=100), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ], |
| split='train'), |
| val=dict( |
| type='PoseDataset', |
| ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl', |
| pipeline=[ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=1), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ], |
| split='val'), |
| test=dict( |
| type='PoseDataset', |
| ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl', |
| pipeline=[ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=10), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ], |
| split='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', 'mean_class_accuracy'], topk=(1, 5)) |
| log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) |
| dist_params = dict(backend='nccl') |
| gpu_ids = range(0, 1) |
|
|
| 2025-05-15 13:42:31,847 - pyskl - INFO - Set random seed to 1643001824, deterministic: False |
| 2025-05-15 13:42:43,479 - pyskl - INFO - 16432 videos remain after valid thresholding |
| 2025-05-15 13:42:50,002 - pyskl - INFO - 6599 videos remain after valid thresholding |
| 2025-05-15 13:42:50,042 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/uav_csv2/b_1 |
| 2025-05-15 13:42:50,042 - 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 |
| -------------------- |
| 2025-05-15 13:42:50,042 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs |
| 2025-05-15 13:42:50,043 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/uav_csv2/b_1 by HardDiskBackend. |
| 2025-05-15 13:43:53,149 - pyskl - INFO - Epoch [1][100/1027] lr: 2.500e-02, eta: 1 day, 2:59:05, time: 0.631, data_time: 0.247, memory: 7959, top1_acc: 0.0094, top5_acc: 0.0375, loss_cls: 12.2850, loss: 12.2850 |
| 2025-05-15 13:44:30,656 - pyskl - INFO - Epoch [1][200/1027] lr: 2.500e-02, eta: 21:29:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0125, top5_acc: 0.0506, loss_cls: 11.6475, loss: 11.6475 |
| 2025-05-15 13:45:08,512 - pyskl - INFO - Epoch [1][300/1027] lr: 2.500e-02, eta: 19:42:42, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0481, loss_cls: 11.4258, loss: 11.4258 |
| 2025-05-15 13:45:46,850 - pyskl - INFO - Epoch [1][400/1027] lr: 2.500e-02, eta: 18:51:53, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0088, top5_acc: 0.0594, loss_cls: 11.3229, loss: 11.3229 |
| 2025-05-15 13:46:24,564 - pyskl - INFO - Epoch [1][500/1027] lr: 2.500e-02, eta: 18:17:57, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.0094, top5_acc: 0.0587, loss_cls: 11.2353, loss: 11.2353 |
| 2025-05-15 13:47:02,394 - pyskl - INFO - Epoch [1][600/1027] lr: 2.500e-02, eta: 17:55:36, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.0100, top5_acc: 0.0606, loss_cls: 11.1870, loss: 11.1870 |
| 2025-05-15 13:47:40,413 - pyskl - INFO - Epoch [1][700/1027] lr: 2.500e-02, eta: 17:40:09, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0187, top5_acc: 0.0669, loss_cls: 11.1559, loss: 11.1559 |
| 2025-05-15 13:48:17,857 - pyskl - INFO - Epoch [1][800/1027] lr: 2.500e-02, eta: 17:26:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.0138, top5_acc: 0.0556, loss_cls: 11.1353, loss: 11.1353 |
| 2025-05-15 13:48:55,406 - pyskl - INFO - Epoch [1][900/1027] lr: 2.500e-02, eta: 17:16:10, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0144, top5_acc: 0.0706, loss_cls: 11.0772, loss: 11.0772 |
| 2025-05-15 13:49:32,813 - pyskl - INFO - Epoch [1][1000/1027] lr: 2.500e-02, eta: 17:07:22, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0569, loss_cls: 11.0962, loss: 11.0962 |
| 2025-05-15 13:49:43,771 - pyskl - INFO - Saving checkpoint at 1 epochs |
| 2025-05-15 13:50:22,338 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 13:50:22,404 - pyskl - INFO - |
| top1_acc 0.0188 |
| top5_acc 0.0838 |
| 2025-05-15 13:50:22,405 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 13:50:22,414 - pyskl - INFO - |
| mean_acc 0.0200 |
| 2025-05-15 13:50:24,030 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. |
| 2025-05-15 13:50:24,032 - pyskl - INFO - Best top1_acc is 0.0188 at 1 epoch. |
| 2025-05-15 13:50:24,035 - pyskl - INFO - Epoch(val) [1][413] top1_acc: 0.0188, top5_acc: 0.0838, mean_class_accuracy: 0.0200 |
| 2025-05-15 13:51:28,846 - pyskl - INFO - Epoch [2][100/1027] lr: 2.500e-02, eta: 17:37:23, time: 0.648, data_time: 0.268, memory: 7959, top1_acc: 0.0119, top5_acc: 0.0737, loss_cls: 11.0312, loss: 11.0312 |
| 2025-05-15 13:52:06,835 - pyskl - INFO - Epoch [2][200/1027] lr: 2.500e-02, eta: 17:29:26, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0169, top5_acc: 0.0788, loss_cls: 11.0770, loss: 11.0770 |
| 2025-05-15 13:52:44,644 - pyskl - INFO - Epoch [2][300/1027] lr: 2.500e-02, eta: 17:22:14, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.0150, top5_acc: 0.0769, loss_cls: 11.0166, loss: 11.0166 |
| 2025-05-15 13:53:22,487 - pyskl - INFO - Epoch [2][400/1027] lr: 2.499e-02, eta: 17:16:01, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.0169, top5_acc: 0.0912, loss_cls: 10.9624, loss: 10.9624 |
| 2025-05-15 13:54:00,271 - pyskl - INFO - Epoch [2][500/1027] lr: 2.499e-02, eta: 17:10:26, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.0194, top5_acc: 0.0912, loss_cls: 10.9521, loss: 10.9521 |
| 2025-05-15 13:54:37,820 - pyskl - INFO - Epoch [2][600/1027] lr: 2.499e-02, eta: 17:05:06, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0244, top5_acc: 0.1106, loss_cls: 10.8711, loss: 10.8711 |
| 2025-05-15 13:55:15,143 - pyskl - INFO - Epoch [2][700/1027] lr: 2.499e-02, eta: 16:59:58, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.0225, top5_acc: 0.1031, loss_cls: 10.9041, loss: 10.9041 |
| 2025-05-15 13:55:52,524 - pyskl - INFO - Epoch [2][800/1027] lr: 2.499e-02, eta: 16:55:25, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.0256, top5_acc: 0.1212, loss_cls: 10.8383, loss: 10.8383 |
| 2025-05-15 13:56:29,883 - pyskl - INFO - Epoch [2][900/1027] lr: 2.499e-02, eta: 16:51:15, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.0269, top5_acc: 0.0931, loss_cls: 10.7856, loss: 10.7856 |
| 2025-05-15 13:57:07,341 - pyskl - INFO - Epoch [2][1000/1027] lr: 2.499e-02, eta: 16:47:33, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0250, top5_acc: 0.1081, loss_cls: 10.7547, loss: 10.7547 |
| 2025-05-15 13:57:18,336 - pyskl - INFO - Saving checkpoint at 2 epochs |
| 2025-05-15 13:57:55,672 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 13:57:55,742 - pyskl - INFO - |
| top1_acc 0.0185 |
| top5_acc 0.1062 |
| 2025-05-15 13:57:55,742 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 13:57:55,750 - pyskl - INFO - |
| mean_acc 0.0203 |
| 2025-05-15 13:57:55,752 - pyskl - INFO - Epoch(val) [2][413] top1_acc: 0.0185, top5_acc: 0.1062, mean_class_accuracy: 0.0203 |
| 2025-05-15 13:58:59,522 - pyskl - INFO - Epoch [3][100/1027] lr: 2.499e-02, eta: 17:02:17, time: 0.638, data_time: 0.257, memory: 7959, top1_acc: 0.0269, top5_acc: 0.1094, loss_cls: 10.7506, loss: 10.7506 |
| 2025-05-15 13:59:37,448 - pyskl - INFO - Epoch [3][200/1027] lr: 2.499e-02, eta: 16:58:52, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.0288, top5_acc: 0.1306, loss_cls: 10.6527, loss: 10.6527 |
| 2025-05-15 14:00:15,057 - pyskl - INFO - Epoch [3][300/1027] lr: 2.499e-02, eta: 16:55:20, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.0288, top5_acc: 0.1325, loss_cls: 10.6452, loss: 10.6452 |
| 2025-05-15 14:00:52,661 - pyskl - INFO - Epoch [3][400/1027] lr: 2.498e-02, eta: 16:52:01, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.0331, top5_acc: 0.1431, loss_cls: 10.5614, loss: 10.5614 |
| 2025-05-15 14:01:30,472 - pyskl - INFO - Epoch [3][500/1027] lr: 2.498e-02, eta: 16:49:08, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.0356, top5_acc: 0.1588, loss_cls: 10.5218, loss: 10.5218 |
| 2025-05-15 14:02:08,104 - pyskl - INFO - Epoch [3][600/1027] lr: 2.498e-02, eta: 16:46:15, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.0406, top5_acc: 0.1650, loss_cls: 10.4074, loss: 10.4074 |
| 2025-05-15 14:02:45,411 - pyskl - INFO - Epoch [3][700/1027] lr: 2.498e-02, eta: 16:43:14, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.0362, top5_acc: 0.1825, loss_cls: 10.3487, loss: 10.3487 |
| 2025-05-15 14:03:22,881 - pyskl - INFO - Epoch [3][800/1027] lr: 2.498e-02, eta: 16:40:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0462, top5_acc: 0.1769, loss_cls: 10.2871, loss: 10.2871 |
| 2025-05-15 14:04:00,307 - pyskl - INFO - Epoch [3][900/1027] lr: 2.498e-02, eta: 16:37:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.0500, top5_acc: 0.1906, loss_cls: 10.2854, loss: 10.2854 |
| 2025-05-15 14:04:37,816 - pyskl - INFO - Epoch [3][1000/1027] lr: 2.498e-02, eta: 16:35:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0563, top5_acc: 0.2213, loss_cls: 10.1586, loss: 10.1586 |
| 2025-05-15 14:04:48,723 - pyskl - INFO - Saving checkpoint at 3 epochs |
| 2025-05-15 14:05:26,544 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:05:26,617 - pyskl - INFO - |
| top1_acc 0.0759 |
| top5_acc 0.2666 |
| 2025-05-15 14:05:26,617 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:05:26,626 - pyskl - INFO - |
| mean_acc 0.0770 |
| 2025-05-15 14:05:26,678 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_1.pth was removed |
| 2025-05-15 14:05:28,234 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. |
| 2025-05-15 14:05:28,236 - pyskl - INFO - Best top1_acc is 0.0759 at 3 epoch. |
| 2025-05-15 14:05:28,239 - pyskl - INFO - Epoch(val) [3][413] top1_acc: 0.0759, top5_acc: 0.2666, mean_class_accuracy: 0.0770 |
| 2025-05-15 14:06:32,217 - pyskl - INFO - Epoch [4][100/1027] lr: 2.497e-02, eta: 16:45:32, time: 0.640, data_time: 0.261, memory: 7959, top1_acc: 0.0619, top5_acc: 0.2469, loss_cls: 10.0810, loss: 10.0810 |
| 2025-05-15 14:07:10,145 - pyskl - INFO - Epoch [4][200/1027] lr: 2.497e-02, eta: 16:43:17, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.0600, top5_acc: 0.2587, loss_cls: 10.0452, loss: 10.0452 |
| 2025-05-15 14:07:47,805 - pyskl - INFO - Epoch [4][300/1027] lr: 2.497e-02, eta: 16:40:56, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.0788, top5_acc: 0.2631, loss_cls: 9.9920, loss: 9.9920 |
| 2025-05-15 14:08:25,754 - pyskl - INFO - Epoch [4][400/1027] lr: 2.497e-02, eta: 16:38:53, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.0750, top5_acc: 0.2800, loss_cls: 9.9237, loss: 9.9237 |
| 2025-05-15 14:09:03,659 - pyskl - INFO - Epoch [4][500/1027] lr: 2.497e-02, eta: 16:36:54, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.0838, top5_acc: 0.3000, loss_cls: 9.7498, loss: 9.7498 |
| 2025-05-15 14:09:41,182 - pyskl - INFO - Epoch [4][600/1027] lr: 2.496e-02, eta: 16:34:43, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0869, top5_acc: 0.3200, loss_cls: 9.8081, loss: 9.8081 |
| 2025-05-15 14:10:18,789 - pyskl - INFO - Epoch [4][700/1027] lr: 2.496e-02, eta: 16:32:40, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.1000, top5_acc: 0.3225, loss_cls: 9.6399, loss: 9.6399 |
| 2025-05-15 14:10:56,242 - pyskl - INFO - Epoch [4][800/1027] lr: 2.496e-02, eta: 16:30:36, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0887, top5_acc: 0.3231, loss_cls: 9.5662, loss: 9.5662 |
| 2025-05-15 14:11:33,629 - pyskl - INFO - Epoch [4][900/1027] lr: 2.496e-02, eta: 16:28:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.0956, top5_acc: 0.3394, loss_cls: 9.6834, loss: 9.6834 |
| 2025-05-15 14:12:10,984 - pyskl - INFO - Epoch [4][1000/1027] lr: 2.496e-02, eta: 16:26:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.1075, top5_acc: 0.3588, loss_cls: 9.5465, loss: 9.5465 |
| 2025-05-15 14:12:21,842 - pyskl - INFO - Saving checkpoint at 4 epochs |
| 2025-05-15 14:12:59,390 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:12:59,463 - pyskl - INFO - |
| top1_acc 0.1450 |
| top5_acc 0.4545 |
| 2025-05-15 14:12:59,464 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:12:59,472 - pyskl - INFO - |
| mean_acc 0.1461 |
| 2025-05-15 14:12:59,535 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_3.pth was removed |
| 2025-05-15 14:13:01,118 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. |
| 2025-05-15 14:13:01,120 - pyskl - INFO - Best top1_acc is 0.1450 at 4 epoch. |
| 2025-05-15 14:13:01,123 - pyskl - INFO - Epoch(val) [4][413] top1_acc: 0.1450, top5_acc: 0.4545, mean_class_accuracy: 0.1461 |
| 2025-05-15 14:14:05,609 - pyskl - INFO - Epoch [5][100/1027] lr: 2.495e-02, eta: 16:34:15, time: 0.645, data_time: 0.264, memory: 7959, top1_acc: 0.1169, top5_acc: 0.3706, loss_cls: 9.4698, loss: 9.4698 |
| 2025-05-15 14:14:43,481 - pyskl - INFO - Epoch [5][200/1027] lr: 2.495e-02, eta: 16:32:28, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.1069, top5_acc: 0.3713, loss_cls: 9.4786, loss: 9.4786 |
| 2025-05-15 14:15:21,072 - pyskl - INFO - Epoch [5][300/1027] lr: 2.495e-02, eta: 16:30:35, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.1131, top5_acc: 0.3762, loss_cls: 9.4247, loss: 9.4247 |
| 2025-05-15 14:15:58,819 - pyskl - INFO - Epoch [5][400/1027] lr: 2.495e-02, eta: 16:28:49, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.1194, top5_acc: 0.4000, loss_cls: 9.4059, loss: 9.4059 |
| 2025-05-15 14:16:36,483 - pyskl - INFO - Epoch [5][500/1027] lr: 2.494e-02, eta: 16:27:04, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.1237, top5_acc: 0.4056, loss_cls: 9.3797, loss: 9.3797 |
| 2025-05-15 14:17:14,135 - pyskl - INFO - Epoch [5][600/1027] lr: 2.494e-02, eta: 16:25:22, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.1375, top5_acc: 0.4131, loss_cls: 9.3297, loss: 9.3297 |
| 2025-05-15 14:17:51,657 - pyskl - INFO - Epoch [5][700/1027] lr: 2.494e-02, eta: 16:23:38, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.1369, top5_acc: 0.4537, loss_cls: 9.1980, loss: 9.1980 |
| 2025-05-15 14:18:29,178 - pyskl - INFO - Epoch [5][800/1027] lr: 2.494e-02, eta: 16:21:57, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.1500, top5_acc: 0.4425, loss_cls: 9.1597, loss: 9.1597 |
| 2025-05-15 14:19:06,519 - pyskl - INFO - Epoch [5][900/1027] lr: 2.493e-02, eta: 16:20:13, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.1531, top5_acc: 0.4612, loss_cls: 9.1629, loss: 9.1629 |
| 2025-05-15 14:19:43,884 - pyskl - INFO - Epoch [5][1000/1027] lr: 2.493e-02, eta: 16:18:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.1669, top5_acc: 0.4575, loss_cls: 9.0844, loss: 9.0844 |
| 2025-05-15 14:19:54,780 - pyskl - INFO - Saving checkpoint at 5 epochs |
| 2025-05-15 14:20:32,154 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:20:32,226 - pyskl - INFO - |
| top1_acc 0.1934 |
| top5_acc 0.5410 |
| 2025-05-15 14:20:32,227 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:20:32,234 - pyskl - INFO - |
| mean_acc 0.1890 |
| 2025-05-15 14:20:32,294 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_4.pth was removed |
| 2025-05-15 14:20:33,842 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. |
| 2025-05-15 14:20:33,843 - pyskl - INFO - Best top1_acc is 0.1934 at 5 epoch. |
| 2025-05-15 14:20:33,846 - pyskl - INFO - Epoch(val) [5][413] top1_acc: 0.1934, top5_acc: 0.5410, mean_class_accuracy: 0.1890 |
| 2025-05-15 14:21:37,460 - pyskl - INFO - Epoch [6][100/1027] lr: 2.493e-02, eta: 16:24:08, time: 0.636, data_time: 0.258, memory: 7959, top1_acc: 0.1675, top5_acc: 0.4850, loss_cls: 8.9869, loss: 8.9869 |
| 2025-05-15 14:22:15,234 - pyskl - INFO - Epoch [6][200/1027] lr: 2.493e-02, eta: 16:22:35, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.1750, top5_acc: 0.4881, loss_cls: 8.9341, loss: 8.9341 |
| 2025-05-15 14:22:52,698 - pyskl - INFO - Epoch [6][300/1027] lr: 2.492e-02, eta: 16:20:56, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.1719, top5_acc: 0.4706, loss_cls: 9.0780, loss: 9.0780 |
| 2025-05-15 14:23:30,422 - pyskl - INFO - Epoch [6][400/1027] lr: 2.492e-02, eta: 16:19:26, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.1812, top5_acc: 0.5112, loss_cls: 8.9785, loss: 8.9785 |
| 2025-05-15 14:24:08,191 - pyskl - INFO - Epoch [6][500/1027] lr: 2.492e-02, eta: 16:17:59, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.1900, top5_acc: 0.5081, loss_cls: 8.9021, loss: 8.9021 |
| 2025-05-15 14:24:45,700 - pyskl - INFO - Epoch [6][600/1027] lr: 2.491e-02, eta: 16:16:27, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.1981, top5_acc: 0.5212, loss_cls: 8.8212, loss: 8.8212 |
| 2025-05-15 14:25:23,104 - pyskl - INFO - Epoch [6][700/1027] lr: 2.491e-02, eta: 16:14:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.1988, top5_acc: 0.5075, loss_cls: 8.8323, loss: 8.8323 |
| 2025-05-15 14:26:00,586 - pyskl - INFO - Epoch [6][800/1027] lr: 2.491e-02, eta: 16:13:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.1994, top5_acc: 0.5312, loss_cls: 8.7955, loss: 8.7955 |
| 2025-05-15 14:26:38,080 - pyskl - INFO - Epoch [6][900/1027] lr: 2.491e-02, eta: 16:11:58, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.1988, top5_acc: 0.5188, loss_cls: 8.8187, loss: 8.8187 |
| 2025-05-15 14:27:15,385 - pyskl - INFO - Epoch [6][1000/1027] lr: 2.490e-02, eta: 16:10:28, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.2231, top5_acc: 0.5469, loss_cls: 8.6990, loss: 8.6990 |
| 2025-05-15 14:27:26,239 - pyskl - INFO - Saving checkpoint at 6 epochs |
| 2025-05-15 14:28:03,562 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:28:03,638 - pyskl - INFO - |
| top1_acc 0.2773 |
| top5_acc 0.6601 |
| 2025-05-15 14:28:03,638 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:28:03,646 - pyskl - INFO - |
| mean_acc 0.2793 |
| 2025-05-15 14:28:03,703 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_5.pth was removed |
| 2025-05-15 14:28:05,244 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. |
| 2025-05-15 14:28:05,246 - pyskl - INFO - Best top1_acc is 0.2773 at 6 epoch. |
| 2025-05-15 14:28:05,249 - pyskl - INFO - Epoch(val) [6][413] top1_acc: 0.2773, top5_acc: 0.6601, mean_class_accuracy: 0.2793 |
| 2025-05-15 14:29:09,268 - pyskl - INFO - Epoch [7][100/1027] lr: 2.490e-02, eta: 16:15:09, time: 0.640, data_time: 0.261, memory: 7959, top1_acc: 0.2394, top5_acc: 0.5600, loss_cls: 8.4802, loss: 8.4802 |
| 2025-05-15 14:29:47,305 - pyskl - INFO - Epoch [7][200/1027] lr: 2.489e-02, eta: 16:13:53, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.2125, top5_acc: 0.5463, loss_cls: 8.6623, loss: 8.6623 |
| 2025-05-15 14:30:24,924 - pyskl - INFO - Epoch [7][300/1027] lr: 2.489e-02, eta: 16:12:29, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.2281, top5_acc: 0.5406, loss_cls: 8.5947, loss: 8.5947 |
| 2025-05-15 14:31:02,756 - pyskl - INFO - Epoch [7][400/1027] lr: 2.489e-02, eta: 16:11:11, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.2369, top5_acc: 0.5694, loss_cls: 8.5288, loss: 8.5288 |
| 2025-05-15 14:31:40,490 - pyskl - INFO - Epoch [7][500/1027] lr: 2.488e-02, eta: 16:09:52, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.2350, top5_acc: 0.5781, loss_cls: 8.5329, loss: 8.5329 |
| 2025-05-15 14:32:17,943 - pyskl - INFO - Epoch [7][600/1027] lr: 2.488e-02, eta: 16:08:29, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.2256, top5_acc: 0.5837, loss_cls: 8.6066, loss: 8.6066 |
| 2025-05-15 14:32:55,393 - pyskl - INFO - Epoch [7][700/1027] lr: 2.488e-02, eta: 16:07:06, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.2394, top5_acc: 0.5969, loss_cls: 8.4814, loss: 8.4814 |
| 2025-05-15 14:33:32,894 - pyskl - INFO - Epoch [7][800/1027] lr: 2.487e-02, eta: 16:05:46, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.2556, top5_acc: 0.5925, loss_cls: 8.3823, loss: 8.3823 |
| 2025-05-15 14:34:10,400 - pyskl - INFO - Epoch [7][900/1027] lr: 2.487e-02, eta: 16:04:27, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.2400, top5_acc: 0.5869, loss_cls: 8.5253, loss: 8.5253 |
| 2025-05-15 14:34:47,942 - pyskl - INFO - Epoch [7][1000/1027] lr: 2.487e-02, eta: 16:03:11, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.2487, top5_acc: 0.5900, loss_cls: 8.4221, loss: 8.4221 |
| 2025-05-15 14:34:58,880 - pyskl - INFO - Saving checkpoint at 7 epochs |
| 2025-05-15 14:35:36,077 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:35:36,149 - pyskl - INFO - |
| top1_acc 0.2834 |
| top5_acc 0.6827 |
| 2025-05-15 14:35:36,150 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:35:36,158 - pyskl - INFO - |
| mean_acc 0.2836 |
| 2025-05-15 14:35:36,214 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_6.pth was removed |
| 2025-05-15 14:35:37,770 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. |
| 2025-05-15 14:35:37,771 - pyskl - INFO - Best top1_acc is 0.2834 at 7 epoch. |
| 2025-05-15 14:35:37,775 - pyskl - INFO - Epoch(val) [7][413] top1_acc: 0.2834, top5_acc: 0.6827, mean_class_accuracy: 0.2836 |
| 2025-05-15 14:36:41,594 - pyskl - INFO - Epoch [8][100/1027] lr: 2.486e-02, eta: 16:06:59, time: 0.638, data_time: 0.260, memory: 7959, top1_acc: 0.2731, top5_acc: 0.6069, loss_cls: 8.3432, loss: 8.3432 |
| 2025-05-15 14:37:19,209 - pyskl - INFO - Epoch [8][200/1027] lr: 2.486e-02, eta: 16:05:42, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.2525, top5_acc: 0.6094, loss_cls: 8.3755, loss: 8.3755 |
| 2025-05-15 14:37:56,831 - pyskl - INFO - Epoch [8][300/1027] lr: 2.485e-02, eta: 16:04:25, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.2612, top5_acc: 0.6156, loss_cls: 8.2961, loss: 8.2961 |
| 2025-05-15 14:38:34,270 - pyskl - INFO - Epoch [8][400/1027] lr: 2.485e-02, eta: 16:03:06, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.2831, top5_acc: 0.5887, loss_cls: 8.3678, loss: 8.3678 |
| 2025-05-15 14:39:12,254 - pyskl - INFO - Epoch [8][500/1027] lr: 2.485e-02, eta: 16:01:59, time: 0.380, data_time: 0.001, memory: 7959, top1_acc: 0.2737, top5_acc: 0.6094, loss_cls: 8.2676, loss: 8.2676 |
| 2025-05-15 14:39:49,843 - pyskl - INFO - Epoch [8][600/1027] lr: 2.484e-02, eta: 16:00:45, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.2550, top5_acc: 0.6069, loss_cls: 8.2827, loss: 8.2827 |
| 2025-05-15 14:40:27,230 - pyskl - INFO - Epoch [8][700/1027] lr: 2.484e-02, eta: 15:59:28, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.2844, top5_acc: 0.6325, loss_cls: 8.1794, loss: 8.1794 |
| 2025-05-15 14:41:04,667 - pyskl - INFO - Epoch [8][800/1027] lr: 2.483e-02, eta: 15:58:13, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.2925, top5_acc: 0.6381, loss_cls: 8.1444, loss: 8.1444 |
| 2025-05-15 14:41:42,000 - pyskl - INFO - Epoch [8][900/1027] lr: 2.483e-02, eta: 15:56:57, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.2863, top5_acc: 0.6250, loss_cls: 8.2198, loss: 8.2198 |
| 2025-05-15 14:42:19,348 - pyskl - INFO - Epoch [8][1000/1027] lr: 2.483e-02, eta: 15:55:42, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.2806, top5_acc: 0.6238, loss_cls: 8.2566, loss: 8.2566 |
| 2025-05-15 14:42:30,408 - pyskl - INFO - Saving checkpoint at 8 epochs |
| 2025-05-15 14:43:07,985 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:43:08,059 - pyskl - INFO - |
| top1_acc 0.3490 |
| top5_acc 0.7404 |
| 2025-05-15 14:43:08,059 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:43:08,067 - pyskl - INFO - |
| mean_acc 0.3431 |
| 2025-05-15 14:43:08,126 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_7.pth was removed |
| 2025-05-15 14:43:09,675 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. |
| 2025-05-15 14:43:09,676 - pyskl - INFO - Best top1_acc is 0.3490 at 8 epoch. |
| 2025-05-15 14:43:09,679 - pyskl - INFO - Epoch(val) [8][413] top1_acc: 0.3490, top5_acc: 0.7404, mean_class_accuracy: 0.3431 |
| 2025-05-15 14:44:13,318 - pyskl - INFO - Epoch [9][100/1027] lr: 2.482e-02, eta: 15:58:52, time: 0.636, data_time: 0.258, memory: 7959, top1_acc: 0.3000, top5_acc: 0.6438, loss_cls: 8.0652, loss: 8.0652 |
| 2025-05-15 14:44:50,994 - pyskl - INFO - Epoch [9][200/1027] lr: 2.482e-02, eta: 15:57:42, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.2938, top5_acc: 0.6369, loss_cls: 8.1080, loss: 8.1080 |
| 2025-05-15 14:45:28,434 - pyskl - INFO - Epoch [9][300/1027] lr: 2.481e-02, eta: 15:56:28, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.2700, top5_acc: 0.6312, loss_cls: 8.1466, loss: 8.1466 |
| 2025-05-15 14:46:06,539 - pyskl - INFO - Epoch [9][400/1027] lr: 2.481e-02, eta: 15:55:26, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3050, top5_acc: 0.6500, loss_cls: 8.0845, loss: 8.0845 |
| 2025-05-15 14:46:44,177 - pyskl - INFO - Epoch [9][500/1027] lr: 2.480e-02, eta: 15:54:17, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.2963, top5_acc: 0.6494, loss_cls: 8.0387, loss: 8.0387 |
| 2025-05-15 14:47:21,678 - pyskl - INFO - Epoch [9][600/1027] lr: 2.480e-02, eta: 15:53:06, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3131, top5_acc: 0.6500, loss_cls: 8.0349, loss: 8.0349 |
| 2025-05-15 14:47:59,310 - pyskl - INFO - Epoch [9][700/1027] lr: 2.479e-02, eta: 15:51:58, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3225, top5_acc: 0.6581, loss_cls: 8.0451, loss: 8.0451 |
| 2025-05-15 14:48:37,010 - pyskl - INFO - Epoch [9][800/1027] lr: 2.479e-02, eta: 15:50:52, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3056, top5_acc: 0.6294, loss_cls: 8.1148, loss: 8.1148 |
| 2025-05-15 14:49:14,581 - pyskl - INFO - Epoch [9][900/1027] lr: 2.478e-02, eta: 15:49:45, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3281, top5_acc: 0.6506, loss_cls: 7.9247, loss: 7.9247 |
| 2025-05-15 14:49:52,189 - pyskl - INFO - Epoch [9][1000/1027] lr: 2.478e-02, eta: 15:48:39, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3106, top5_acc: 0.6356, loss_cls: 8.0630, loss: 8.0630 |
| 2025-05-15 14:50:03,122 - pyskl - INFO - Saving checkpoint at 9 epochs |
| 2025-05-15 14:50:40,493 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:50:40,566 - pyskl - INFO - |
| top1_acc 0.3608 |
| top5_acc 0.7553 |
| 2025-05-15 14:50:40,566 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:50:40,574 - pyskl - INFO - |
| mean_acc 0.3554 |
| 2025-05-15 14:50:40,632 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_8.pth was removed |
| 2025-05-15 14:50:42,172 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. |
| 2025-05-15 14:50:42,174 - pyskl - INFO - Best top1_acc is 0.3608 at 9 epoch. |
| 2025-05-15 14:50:42,177 - pyskl - INFO - Epoch(val) [9][413] top1_acc: 0.3608, top5_acc: 0.7553, mean_class_accuracy: 0.3554 |
| 2025-05-15 14:51:45,797 - pyskl - INFO - Epoch [10][100/1027] lr: 2.477e-02, eta: 15:51:21, time: 0.636, data_time: 0.257, memory: 7959, top1_acc: 0.3187, top5_acc: 0.6769, loss_cls: 7.8709, loss: 7.8709 |
| 2025-05-15 14:52:23,450 - pyskl - INFO - Epoch [10][200/1027] lr: 2.477e-02, eta: 15:50:14, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3438, top5_acc: 0.6713, loss_cls: 7.8476, loss: 7.8476 |
| 2025-05-15 14:53:00,945 - pyskl - INFO - Epoch [10][300/1027] lr: 2.476e-02, eta: 15:49:05, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3025, top5_acc: 0.6469, loss_cls: 8.0243, loss: 8.0243 |
| 2025-05-15 14:53:38,680 - pyskl - INFO - Epoch [10][400/1027] lr: 2.476e-02, eta: 15:48:01, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3175, top5_acc: 0.6750, loss_cls: 7.9529, loss: 7.9529 |
| 2025-05-15 14:54:16,217 - pyskl - INFO - Epoch [10][500/1027] lr: 2.475e-02, eta: 15:46:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3231, top5_acc: 0.6650, loss_cls: 7.9089, loss: 7.9089 |
| 2025-05-15 14:54:53,601 - pyskl - INFO - Epoch [10][600/1027] lr: 2.475e-02, eta: 15:45:45, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3381, top5_acc: 0.6637, loss_cls: 7.9035, loss: 7.9035 |
| 2025-05-15 14:55:31,332 - pyskl - INFO - Epoch [10][700/1027] lr: 2.474e-02, eta: 15:44:43, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3375, top5_acc: 0.6637, loss_cls: 7.8660, loss: 7.8660 |
| 2025-05-15 14:56:09,054 - pyskl - INFO - Epoch [10][800/1027] lr: 2.474e-02, eta: 15:43:40, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3256, top5_acc: 0.6613, loss_cls: 7.8553, loss: 7.8553 |
| 2025-05-15 14:56:46,570 - pyskl - INFO - Epoch [10][900/1027] lr: 2.473e-02, eta: 15:42:35, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3375, top5_acc: 0.6631, loss_cls: 7.8736, loss: 7.8736 |
| 2025-05-15 14:57:24,081 - pyskl - INFO - Epoch [10][1000/1027] lr: 2.473e-02, eta: 15:41:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3225, top5_acc: 0.6481, loss_cls: 7.9587, loss: 7.9587 |
| 2025-05-15 14:57:35,026 - pyskl - INFO - Saving checkpoint at 10 epochs |
| 2025-05-15 14:58:12,481 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:58:12,552 - pyskl - INFO - |
| top1_acc 0.3325 |
| top5_acc 0.7063 |
| 2025-05-15 14:58:12,552 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:58:12,560 - pyskl - INFO - |
| mean_acc 0.3273 |
| 2025-05-15 14:58:12,562 - pyskl - INFO - Epoch(val) [10][413] top1_acc: 0.3325, top5_acc: 0.7063, mean_class_accuracy: 0.3273 |
| 2025-05-15 14:59:16,675 - pyskl - INFO - Epoch [11][100/1027] lr: 2.472e-02, eta: 15:43:58, time: 0.641, data_time: 0.264, memory: 7959, top1_acc: 0.3356, top5_acc: 0.6781, loss_cls: 7.8184, loss: 7.8184 |
| 2025-05-15 14:59:54,341 - pyskl - INFO - Epoch [11][200/1027] lr: 2.472e-02, eta: 15:42:54, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3656, top5_acc: 0.6831, loss_cls: 7.7503, loss: 7.7503 |
| 2025-05-15 15:00:31,928 - pyskl - INFO - Epoch [11][300/1027] lr: 2.471e-02, eta: 15:41:50, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3575, top5_acc: 0.6781, loss_cls: 7.7667, loss: 7.7667 |
| 2025-05-15 15:01:09,725 - pyskl - INFO - Epoch [11][400/1027] lr: 2.471e-02, eta: 15:40:50, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3644, top5_acc: 0.6863, loss_cls: 7.7635, loss: 7.7635 |
| 2025-05-15 15:01:47,520 - pyskl - INFO - Epoch [11][500/1027] lr: 2.470e-02, eta: 15:39:49, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3369, top5_acc: 0.6794, loss_cls: 7.7244, loss: 7.7244 |
| 2025-05-15 15:02:24,914 - pyskl - INFO - Epoch [11][600/1027] lr: 2.469e-02, eta: 15:38:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3600, top5_acc: 0.6587, loss_cls: 7.8732, loss: 7.8732 |
| 2025-05-15 15:03:02,242 - pyskl - INFO - Epoch [11][700/1027] lr: 2.469e-02, eta: 15:37:39, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3506, top5_acc: 0.7006, loss_cls: 7.7128, loss: 7.7128 |
| 2025-05-15 15:03:39,582 - pyskl - INFO - Epoch [11][800/1027] lr: 2.468e-02, eta: 15:36:34, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3538, top5_acc: 0.7075, loss_cls: 7.7082, loss: 7.7082 |
| 2025-05-15 15:04:16,877 - pyskl - INFO - Epoch [11][900/1027] lr: 2.468e-02, eta: 15:35:29, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3550, top5_acc: 0.6975, loss_cls: 7.6790, loss: 7.6790 |
| 2025-05-15 15:04:54,192 - pyskl - INFO - Epoch [11][1000/1027] lr: 2.467e-02, eta: 15:34:24, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3444, top5_acc: 0.6656, loss_cls: 7.8668, loss: 7.8668 |
| 2025-05-15 15:05:05,353 - pyskl - INFO - Saving checkpoint at 11 epochs |
| 2025-05-15 15:05:42,896 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:05:42,967 - pyskl - INFO - |
| top1_acc 0.4382 |
| top5_acc 0.7744 |
| 2025-05-15 15:05:42,967 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:05:42,975 - pyskl - INFO - |
| mean_acc 0.4300 |
| 2025-05-15 15:05:43,034 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_9.pth was removed |
| 2025-05-15 15:05:44,562 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. |
| 2025-05-15 15:05:44,563 - pyskl - INFO - Best top1_acc is 0.4382 at 11 epoch. |
| 2025-05-15 15:05:44,566 - pyskl - INFO - Epoch(val) [11][413] top1_acc: 0.4382, top5_acc: 0.7744, mean_class_accuracy: 0.4300 |
| 2025-05-15 15:06:48,477 - pyskl - INFO - Epoch [12][100/1027] lr: 2.466e-02, eta: 15:36:30, time: 0.639, data_time: 0.261, memory: 7959, top1_acc: 0.3812, top5_acc: 0.6925, loss_cls: 7.6084, loss: 7.6084 |
| 2025-05-15 15:07:26,306 - pyskl - INFO - Epoch [12][200/1027] lr: 2.466e-02, eta: 15:35:31, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3563, top5_acc: 0.6906, loss_cls: 7.7167, loss: 7.7167 |
| 2025-05-15 15:08:04,090 - pyskl - INFO - Epoch [12][300/1027] lr: 2.465e-02, eta: 15:34:33, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3619, top5_acc: 0.7075, loss_cls: 7.6274, loss: 7.6274 |
| 2025-05-15 15:08:42,120 - pyskl - INFO - Epoch [12][400/1027] lr: 2.465e-02, eta: 15:33:37, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3800, top5_acc: 0.6969, loss_cls: 7.6243, loss: 7.6243 |
| 2025-05-15 15:09:19,826 - pyskl - INFO - Epoch [12][500/1027] lr: 2.464e-02, eta: 15:32:38, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3650, top5_acc: 0.6969, loss_cls: 7.6269, loss: 7.6269 |
| 2025-05-15 15:09:57,298 - pyskl - INFO - Epoch [12][600/1027] lr: 2.463e-02, eta: 15:31:36, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3750, top5_acc: 0.6906, loss_cls: 7.6593, loss: 7.6593 |
| 2025-05-15 15:10:34,701 - pyskl - INFO - Epoch [12][700/1027] lr: 2.463e-02, eta: 15:30:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3438, top5_acc: 0.6844, loss_cls: 7.7032, loss: 7.7032 |
| 2025-05-15 15:11:12,169 - pyskl - INFO - Epoch [12][800/1027] lr: 2.462e-02, eta: 15:29:33, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3494, top5_acc: 0.6775, loss_cls: 7.7277, loss: 7.7277 |
| 2025-05-15 15:11:49,596 - pyskl - INFO - Epoch [12][900/1027] lr: 2.462e-02, eta: 15:28:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3875, top5_acc: 0.7131, loss_cls: 7.5200, loss: 7.5200 |
| 2025-05-15 15:12:27,068 - pyskl - INFO - Epoch [12][1000/1027] lr: 2.461e-02, eta: 15:27:32, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3694, top5_acc: 0.6906, loss_cls: 7.6688, loss: 7.6688 |
| 2025-05-15 15:12:37,993 - pyskl - INFO - Saving checkpoint at 12 epochs |
| 2025-05-15 15:13:15,343 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:13:15,416 - pyskl - INFO - |
| top1_acc 0.4440 |
| top5_acc 0.7965 |
| 2025-05-15 15:13:15,417 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:13:15,425 - pyskl - INFO - |
| mean_acc 0.4386 |
| 2025-05-15 15:13:15,484 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_11.pth was removed |
| 2025-05-15 15:13:17,013 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. |
| 2025-05-15 15:13:17,015 - pyskl - INFO - Best top1_acc is 0.4440 at 12 epoch. |
| 2025-05-15 15:13:17,018 - pyskl - INFO - Epoch(val) [12][413] top1_acc: 0.4440, top5_acc: 0.7965, mean_class_accuracy: 0.4386 |
| 2025-05-15 15:14:21,295 - pyskl - INFO - Epoch [13][100/1027] lr: 2.460e-02, eta: 15:29:27, time: 0.643, data_time: 0.265, memory: 7959, top1_acc: 0.4006, top5_acc: 0.7194, loss_cls: 7.4854, loss: 7.4854 |
| 2025-05-15 15:14:58,969 - pyskl - INFO - Epoch [13][200/1027] lr: 2.459e-02, eta: 15:28:28, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3850, top5_acc: 0.7106, loss_cls: 7.5954, loss: 7.5954 |
| 2025-05-15 15:15:36,511 - pyskl - INFO - Epoch [13][300/1027] lr: 2.459e-02, eta: 15:27:28, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3869, top5_acc: 0.7225, loss_cls: 7.4707, loss: 7.4707 |
| 2025-05-15 15:16:14,178 - pyskl - INFO - Epoch [13][400/1027] lr: 2.458e-02, eta: 15:26:30, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3762, top5_acc: 0.7044, loss_cls: 7.5679, loss: 7.5679 |
| 2025-05-15 15:16:51,931 - pyskl - INFO - Epoch [13][500/1027] lr: 2.458e-02, eta: 15:25:33, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3675, top5_acc: 0.7050, loss_cls: 7.5751, loss: 7.5751 |
| 2025-05-15 15:17:29,329 - pyskl - INFO - Epoch [13][600/1027] lr: 2.457e-02, eta: 15:24:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3787, top5_acc: 0.6975, loss_cls: 7.5615, loss: 7.5615 |
| 2025-05-15 15:18:06,928 - pyskl - INFO - Epoch [13][700/1027] lr: 2.456e-02, eta: 15:23:35, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3869, top5_acc: 0.6981, loss_cls: 7.6231, loss: 7.6231 |
| 2025-05-15 15:18:44,268 - pyskl - INFO - Epoch [13][800/1027] lr: 2.456e-02, eta: 15:22:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4256, top5_acc: 0.7231, loss_cls: 7.4706, loss: 7.4706 |
| 2025-05-15 15:19:21,601 - pyskl - INFO - Epoch [13][900/1027] lr: 2.455e-02, eta: 15:21:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3837, top5_acc: 0.7013, loss_cls: 7.4793, loss: 7.4793 |
| 2025-05-15 15:19:58,862 - pyskl - INFO - Epoch [13][1000/1027] lr: 2.454e-02, eta: 15:20:34, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3994, top5_acc: 0.7075, loss_cls: 7.4860, loss: 7.4860 |
| 2025-05-15 15:20:09,925 - pyskl - INFO - Saving checkpoint at 13 epochs |
| 2025-05-15 15:20:47,956 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:20:48,027 - pyskl - INFO - |
| top1_acc 0.4901 |
| top5_acc 0.8336 |
| 2025-05-15 15:20:48,027 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:20:48,036 - pyskl - INFO - |
| mean_acc 0.4872 |
| 2025-05-15 15:20:48,098 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_12.pth was removed |
| 2025-05-15 15:20:49,854 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. |
| 2025-05-15 15:20:49,856 - pyskl - INFO - Best top1_acc is 0.4901 at 13 epoch. |
| 2025-05-15 15:20:49,860 - pyskl - INFO - Epoch(val) [13][413] top1_acc: 0.4901, top5_acc: 0.8336, mean_class_accuracy: 0.4872 |
| 2025-05-15 15:21:55,077 - pyskl - INFO - Epoch [14][100/1027] lr: 2.453e-02, eta: 15:22:25, time: 0.652, data_time: 0.273, memory: 7959, top1_acc: 0.3837, top5_acc: 0.7137, loss_cls: 7.4780, loss: 7.4780 |
| 2025-05-15 15:22:32,721 - pyskl - INFO - Epoch [14][200/1027] lr: 2.453e-02, eta: 15:21:28, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4075, top5_acc: 0.7356, loss_cls: 7.4156, loss: 7.4156 |
| 2025-05-15 15:23:10,276 - pyskl - INFO - Epoch [14][300/1027] lr: 2.452e-02, eta: 15:20:30, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4119, top5_acc: 0.7288, loss_cls: 7.3426, loss: 7.3426 |
| 2025-05-15 15:23:48,306 - pyskl - INFO - Epoch [14][400/1027] lr: 2.451e-02, eta: 15:19:37, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3856, top5_acc: 0.7144, loss_cls: 7.5141, loss: 7.5141 |
| 2025-05-15 15:24:26,282 - pyskl - INFO - Epoch [14][500/1027] lr: 2.450e-02, eta: 15:18:44, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4025, top5_acc: 0.7325, loss_cls: 7.3568, loss: 7.3568 |
| 2025-05-15 15:25:03,696 - pyskl - INFO - Epoch [14][600/1027] lr: 2.450e-02, eta: 15:17:46, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4012, top5_acc: 0.7188, loss_cls: 7.5273, loss: 7.5273 |
| 2025-05-15 15:25:41,108 - pyskl - INFO - Epoch [14][700/1027] lr: 2.449e-02, eta: 15:16:48, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3875, top5_acc: 0.6944, loss_cls: 7.5875, loss: 7.5875 |
| 2025-05-15 15:26:18,437 - pyskl - INFO - Epoch [14][800/1027] lr: 2.448e-02, eta: 15:15:49, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3869, top5_acc: 0.7050, loss_cls: 7.5637, loss: 7.5637 |
| 2025-05-15 15:26:55,918 - pyskl - INFO - Epoch [14][900/1027] lr: 2.448e-02, eta: 15:14:52, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4106, top5_acc: 0.7188, loss_cls: 7.3949, loss: 7.3949 |
| 2025-05-15 15:27:33,364 - pyskl - INFO - Epoch [14][1000/1027] lr: 2.447e-02, eta: 15:13:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7200, loss_cls: 7.4152, loss: 7.4152 |
| 2025-05-15 15:27:44,304 - pyskl - INFO - Saving checkpoint at 14 epochs |
| 2025-05-15 15:28:21,922 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:28:21,992 - pyskl - INFO - |
| top1_acc 0.4698 |
| top5_acc 0.8059 |
| 2025-05-15 15:28:21,992 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:28:22,000 - pyskl - INFO - |
| mean_acc 0.4682 |
| 2025-05-15 15:28:22,002 - pyskl - INFO - Epoch(val) [14][413] top1_acc: 0.4698, top5_acc: 0.8059, mean_class_accuracy: 0.4682 |
| 2025-05-15 15:29:26,590 - pyskl - INFO - Epoch [15][100/1027] lr: 2.446e-02, eta: 15:15:27, time: 0.646, data_time: 0.266, memory: 7959, top1_acc: 0.4288, top5_acc: 0.7394, loss_cls: 7.2364, loss: 7.2364 |
| 2025-05-15 15:30:04,252 - pyskl - INFO - Epoch [15][200/1027] lr: 2.445e-02, eta: 15:14:32, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3875, top5_acc: 0.7331, loss_cls: 7.3740, loss: 7.3740 |
| 2025-05-15 15:30:41,642 - pyskl - INFO - Epoch [15][300/1027] lr: 2.444e-02, eta: 15:13:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4250, top5_acc: 0.7456, loss_cls: 7.2690, loss: 7.2690 |
| 2025-05-15 15:31:19,613 - pyskl - INFO - Epoch [15][400/1027] lr: 2.444e-02, eta: 15:12:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4200, top5_acc: 0.7419, loss_cls: 7.2512, loss: 7.2512 |
| 2025-05-15 15:31:57,336 - pyskl - INFO - Epoch [15][500/1027] lr: 2.443e-02, eta: 15:11:47, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4163, top5_acc: 0.7050, loss_cls: 7.4001, loss: 7.4001 |
| 2025-05-15 15:32:34,694 - pyskl - INFO - Epoch [15][600/1027] lr: 2.442e-02, eta: 15:10:50, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3819, top5_acc: 0.7019, loss_cls: 7.5777, loss: 7.5777 |
| 2025-05-15 15:33:12,189 - pyskl - INFO - Epoch [15][700/1027] lr: 2.441e-02, eta: 15:09:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3956, top5_acc: 0.7262, loss_cls: 7.4172, loss: 7.4172 |
| 2025-05-15 15:33:49,678 - pyskl - INFO - Epoch [15][800/1027] lr: 2.441e-02, eta: 15:08:58, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4025, top5_acc: 0.7163, loss_cls: 7.3680, loss: 7.3680 |
| 2025-05-15 15:34:27,211 - pyskl - INFO - Epoch [15][900/1027] lr: 2.440e-02, eta: 15:08:03, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4338, top5_acc: 0.7469, loss_cls: 7.1900, loss: 7.1900 |
| 2025-05-15 15:35:04,577 - pyskl - INFO - Epoch [15][1000/1027] lr: 2.439e-02, eta: 15:07:07, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3969, top5_acc: 0.7087, loss_cls: 7.4508, loss: 7.4508 |
| 2025-05-15 15:35:15,662 - pyskl - INFO - Saving checkpoint at 15 epochs |
| 2025-05-15 15:35:53,189 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:35:53,264 - pyskl - INFO - |
| top1_acc 0.4904 |
| top5_acc 0.8316 |
| 2025-05-15 15:35:53,264 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:35:53,273 - pyskl - INFO - |
| mean_acc 0.4889 |
| 2025-05-15 15:35:53,330 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_13.pth was removed |
| 2025-05-15 15:35:54,871 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. |
| 2025-05-15 15:35:54,873 - pyskl - INFO - Best top1_acc is 0.4904 at 15 epoch. |
| 2025-05-15 15:35:54,876 - pyskl - INFO - Epoch(val) [15][413] top1_acc: 0.4904, top5_acc: 0.8316, mean_class_accuracy: 0.4889 |
| 2025-05-15 15:36:58,849 - pyskl - INFO - Epoch [16][100/1027] lr: 2.438e-02, eta: 15:08:23, time: 0.640, data_time: 0.260, memory: 7959, top1_acc: 0.4412, top5_acc: 0.7481, loss_cls: 7.1755, loss: 7.1755 |
| 2025-05-15 15:37:36,383 - pyskl - INFO - Epoch [16][200/1027] lr: 2.437e-02, eta: 15:07:28, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4431, top5_acc: 0.7456, loss_cls: 7.2219, loss: 7.2219 |
| 2025-05-15 15:38:14,028 - pyskl - INFO - Epoch [16][300/1027] lr: 2.436e-02, eta: 15:06:34, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4344, top5_acc: 0.7250, loss_cls: 7.3401, loss: 7.3401 |
| 2025-05-15 15:38:51,814 - pyskl - INFO - Epoch [16][400/1027] lr: 2.436e-02, eta: 15:05:41, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4019, top5_acc: 0.7100, loss_cls: 7.4553, loss: 7.4553 |
| 2025-05-15 15:39:29,604 - pyskl - INFO - Epoch [16][500/1027] lr: 2.435e-02, eta: 15:04:49, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4281, top5_acc: 0.7306, loss_cls: 7.2089, loss: 7.2089 |
| 2025-05-15 15:40:07,012 - pyskl - INFO - Epoch [16][600/1027] lr: 2.434e-02, eta: 15:03:53, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4206, top5_acc: 0.7412, loss_cls: 7.2350, loss: 7.2350 |
| 2025-05-15 15:40:44,387 - pyskl - INFO - Epoch [16][700/1027] lr: 2.433e-02, eta: 15:02:57, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3956, top5_acc: 0.7163, loss_cls: 7.3930, loss: 7.3930 |
| 2025-05-15 15:41:21,810 - pyskl - INFO - Epoch [16][800/1027] lr: 2.432e-02, eta: 15:02:02, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4088, top5_acc: 0.7362, loss_cls: 7.3002, loss: 7.3002 |
| 2025-05-15 15:41:59,206 - pyskl - INFO - Epoch [16][900/1027] lr: 2.432e-02, eta: 15:01:07, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4019, top5_acc: 0.7206, loss_cls: 7.4467, loss: 7.4467 |
| 2025-05-15 15:42:36,545 - pyskl - INFO - Epoch [16][1000/1027] lr: 2.431e-02, eta: 15:00:12, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4281, top5_acc: 0.7438, loss_cls: 7.1719, loss: 7.1719 |
| 2025-05-15 15:42:47,429 - pyskl - INFO - Saving checkpoint at 16 epochs |
| 2025-05-15 15:43:25,383 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:43:25,462 - pyskl - INFO - |
| top1_acc 0.4731 |
| top5_acc 0.8074 |
| 2025-05-15 15:43:25,462 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:43:25,472 - pyskl - INFO - |
| mean_acc 0.4698 |
| 2025-05-15 15:43:25,475 - pyskl - INFO - Epoch(val) [16][413] top1_acc: 0.4731, top5_acc: 0.8074, mean_class_accuracy: 0.4698 |
| 2025-05-15 15:44:30,019 - pyskl - INFO - Epoch [17][100/1027] lr: 2.430e-02, eta: 15:01:24, time: 0.645, data_time: 0.265, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7512, loss_cls: 7.1360, loss: 7.1360 |
| 2025-05-15 15:45:07,698 - pyskl - INFO - Epoch [17][200/1027] lr: 2.429e-02, eta: 15:00:31, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4350, top5_acc: 0.7369, loss_cls: 7.1615, loss: 7.1615 |
| 2025-05-15 15:45:45,193 - pyskl - INFO - Epoch [17][300/1027] lr: 2.428e-02, eta: 14:59:37, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4200, top5_acc: 0.7381, loss_cls: 7.1857, loss: 7.1857 |
| 2025-05-15 15:46:23,293 - pyskl - INFO - Epoch [17][400/1027] lr: 2.427e-02, eta: 14:58:48, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4506, top5_acc: 0.7625, loss_cls: 7.0870, loss: 7.0870 |
| 2025-05-15 15:47:01,282 - pyskl - INFO - Epoch [17][500/1027] lr: 2.426e-02, eta: 14:57:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4206, top5_acc: 0.7475, loss_cls: 7.2214, loss: 7.2214 |
| 2025-05-15 15:47:38,684 - pyskl - INFO - Epoch [17][600/1027] lr: 2.425e-02, eta: 14:57:03, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4550, top5_acc: 0.7469, loss_cls: 7.1277, loss: 7.1277 |
| 2025-05-15 15:48:16,050 - pyskl - INFO - Epoch [17][700/1027] lr: 2.424e-02, eta: 14:56:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4206, top5_acc: 0.7306, loss_cls: 7.1792, loss: 7.1792 |
| 2025-05-15 15:48:53,409 - pyskl - INFO - Epoch [17][800/1027] lr: 2.424e-02, eta: 14:55:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4344, top5_acc: 0.7412, loss_cls: 7.1971, loss: 7.1971 |
| 2025-05-15 15:49:30,953 - pyskl - INFO - Epoch [17][900/1027] lr: 2.423e-02, eta: 14:54:22, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4387, top5_acc: 0.7250, loss_cls: 7.2608, loss: 7.2608 |
| 2025-05-15 15:50:08,365 - pyskl - INFO - Epoch [17][1000/1027] lr: 2.422e-02, eta: 14:53:28, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7388, loss_cls: 7.2883, loss: 7.2883 |
| 2025-05-15 15:50:19,244 - pyskl - INFO - Saving checkpoint at 17 epochs |
| 2025-05-15 15:50:56,899 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:50:56,970 - pyskl - INFO - |
| top1_acc 0.4913 |
| top5_acc 0.8053 |
| 2025-05-15 15:50:56,970 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:50:56,978 - pyskl - INFO - |
| mean_acc 0.4867 |
| 2025-05-15 15:50:57,050 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_15.pth was removed |
| 2025-05-15 15:50:58,610 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. |
| 2025-05-15 15:50:58,613 - pyskl - INFO - Best top1_acc is 0.4913 at 17 epoch. |
| 2025-05-15 15:50:58,616 - pyskl - INFO - Epoch(val) [17][413] top1_acc: 0.4913, top5_acc: 0.8053, mean_class_accuracy: 0.4867 |
| 2025-05-15 15:52:02,200 - pyskl - INFO - Epoch [18][100/1027] lr: 2.421e-02, eta: 14:54:25, time: 0.636, data_time: 0.258, memory: 7959, top1_acc: 0.4344, top5_acc: 0.7481, loss_cls: 7.1677, loss: 7.1677 |
| 2025-05-15 15:52:39,792 - pyskl - INFO - Epoch [18][200/1027] lr: 2.420e-02, eta: 14:53:32, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4469, top5_acc: 0.7556, loss_cls: 7.0727, loss: 7.0727 |
| 2025-05-15 15:53:17,210 - pyskl - INFO - Epoch [18][300/1027] lr: 2.419e-02, eta: 14:52:38, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4319, top5_acc: 0.7488, loss_cls: 7.1337, loss: 7.1337 |
| 2025-05-15 15:53:55,120 - pyskl - INFO - Epoch [18][400/1027] lr: 2.418e-02, eta: 14:51:49, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7512, loss_cls: 7.1872, loss: 7.1872 |
| 2025-05-15 15:54:33,502 - pyskl - INFO - Epoch [18][500/1027] lr: 2.417e-02, eta: 14:51:02, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4288, top5_acc: 0.7338, loss_cls: 7.2389, loss: 7.2389 |
| 2025-05-15 15:55:11,122 - pyskl - INFO - Epoch [18][600/1027] lr: 2.416e-02, eta: 14:50:11, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4494, top5_acc: 0.7519, loss_cls: 7.0980, loss: 7.0980 |
| 2025-05-15 15:55:48,586 - pyskl - INFO - Epoch [18][700/1027] lr: 2.415e-02, eta: 14:49:18, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7475, loss_cls: 7.2679, loss: 7.2679 |
| 2025-05-15 15:56:26,107 - pyskl - INFO - Epoch [18][800/1027] lr: 2.414e-02, eta: 14:48:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4263, top5_acc: 0.7344, loss_cls: 7.1828, loss: 7.1828 |
| 2025-05-15 15:57:03,607 - pyskl - INFO - Epoch [18][900/1027] lr: 2.413e-02, eta: 14:47:33, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4281, top5_acc: 0.7444, loss_cls: 7.0449, loss: 7.0449 |
| 2025-05-15 15:57:41,234 - pyskl - INFO - Epoch [18][1000/1027] lr: 2.412e-02, eta: 14:46:42, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4456, top5_acc: 0.7356, loss_cls: 7.2263, loss: 7.2263 |
| 2025-05-15 15:57:52,199 - pyskl - INFO - Saving checkpoint at 18 epochs |
| 2025-05-15 15:58:30,222 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:58:30,297 - pyskl - INFO - |
| top1_acc 0.5180 |
| top5_acc 0.8394 |
| 2025-05-15 15:58:30,297 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:58:30,306 - pyskl - INFO - |
| mean_acc 0.5099 |
| 2025-05-15 15:58:30,371 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_17.pth was removed |
| 2025-05-15 15:58:32,001 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. |
| 2025-05-15 15:58:32,003 - pyskl - INFO - Best top1_acc is 0.5180 at 18 epoch. |
| 2025-05-15 15:58:32,006 - pyskl - INFO - Epoch(val) [18][413] top1_acc: 0.5180, top5_acc: 0.8394, mean_class_accuracy: 0.5099 |
| 2025-05-15 15:59:36,660 - pyskl - INFO - Epoch [19][100/1027] lr: 2.411e-02, eta: 14:47:40, time: 0.646, data_time: 0.265, memory: 7959, top1_acc: 0.4650, top5_acc: 0.7588, loss_cls: 7.0457, loss: 7.0457 |
| 2025-05-15 16:00:14,216 - pyskl - INFO - Epoch [19][200/1027] lr: 2.410e-02, eta: 14:46:48, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4475, top5_acc: 0.7544, loss_cls: 7.0177, loss: 7.0177 |
| 2025-05-15 16:00:51,736 - pyskl - INFO - Epoch [19][300/1027] lr: 2.409e-02, eta: 14:45:56, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4594, top5_acc: 0.7712, loss_cls: 6.9965, loss: 6.9965 |
| 2025-05-15 16:01:29,763 - pyskl - INFO - Epoch [19][400/1027] lr: 2.408e-02, eta: 14:45:08, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4325, top5_acc: 0.7544, loss_cls: 7.1246, loss: 7.1246 |
| 2025-05-15 16:02:07,533 - pyskl - INFO - Epoch [19][500/1027] lr: 2.407e-02, eta: 14:44:17, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7425, loss_cls: 7.1054, loss: 7.1054 |
| 2025-05-15 16:02:45,028 - pyskl - INFO - Epoch [19][600/1027] lr: 2.407e-02, eta: 14:43:26, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4444, top5_acc: 0.7444, loss_cls: 7.1550, loss: 7.1550 |
| 2025-05-15 16:03:22,551 - pyskl - INFO - Epoch [19][700/1027] lr: 2.406e-02, eta: 14:42:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4412, top5_acc: 0.7288, loss_cls: 7.1313, loss: 7.1313 |
| 2025-05-15 16:03:59,967 - pyskl - INFO - Epoch [19][800/1027] lr: 2.405e-02, eta: 14:41:42, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4644, top5_acc: 0.7469, loss_cls: 7.0220, loss: 7.0220 |
| 2025-05-15 16:04:37,433 - pyskl - INFO - Epoch [19][900/1027] lr: 2.404e-02, eta: 14:40:50, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4387, top5_acc: 0.7544, loss_cls: 6.9914, loss: 6.9914 |
| 2025-05-15 16:05:14,895 - pyskl - INFO - Epoch [19][1000/1027] lr: 2.403e-02, eta: 14:39:58, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4456, top5_acc: 0.7525, loss_cls: 7.1735, loss: 7.1735 |
| 2025-05-15 16:05:25,862 - pyskl - INFO - Saving checkpoint at 19 epochs |
| 2025-05-15 16:06:04,038 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:06:04,124 - pyskl - INFO - |
| top1_acc 0.5234 |
| top5_acc 0.8457 |
| 2025-05-15 16:06:04,125 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:06:04,134 - pyskl - INFO - |
| mean_acc 0.5176 |
| 2025-05-15 16:06:04,193 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_18.pth was removed |
| 2025-05-15 16:06:05,806 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. |
| 2025-05-15 16:06:05,807 - pyskl - INFO - Best top1_acc is 0.5234 at 19 epoch. |
| 2025-05-15 16:06:05,811 - pyskl - INFO - Epoch(val) [19][413] top1_acc: 0.5234, top5_acc: 0.8457, mean_class_accuracy: 0.5176 |
| 2025-05-15 16:07:10,052 - pyskl - INFO - Epoch [20][100/1027] lr: 2.401e-02, eta: 14:40:47, time: 0.642, data_time: 0.265, memory: 7959, top1_acc: 0.4888, top5_acc: 0.7875, loss_cls: 6.7902, loss: 6.7902 |
| 2025-05-15 16:07:47,586 - pyskl - INFO - Epoch [20][200/1027] lr: 2.400e-02, eta: 14:39:56, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4669, top5_acc: 0.7662, loss_cls: 7.0181, loss: 7.0181 |
| 2025-05-15 16:08:25,135 - pyskl - INFO - Epoch [20][300/1027] lr: 2.399e-02, eta: 14:39:05, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4487, top5_acc: 0.7394, loss_cls: 7.1283, loss: 7.1283 |
| 2025-05-15 16:09:02,971 - pyskl - INFO - Epoch [20][400/1027] lr: 2.398e-02, eta: 14:38:16, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4319, top5_acc: 0.7450, loss_cls: 7.1590, loss: 7.1590 |
| 2025-05-15 16:09:40,591 - pyskl - INFO - Epoch [20][500/1027] lr: 2.397e-02, eta: 14:37:25, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4662, top5_acc: 0.7625, loss_cls: 7.0844, loss: 7.0844 |
| 2025-05-15 16:10:18,127 - pyskl - INFO - Epoch [20][600/1027] lr: 2.396e-02, eta: 14:36:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4731, top5_acc: 0.7544, loss_cls: 6.9749, loss: 6.9749 |
| 2025-05-15 16:10:55,540 - pyskl - INFO - Epoch [20][700/1027] lr: 2.395e-02, eta: 14:35:43, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4300, top5_acc: 0.7369, loss_cls: 7.1732, loss: 7.1732 |
| 2025-05-15 16:11:32,879 - pyskl - INFO - Epoch [20][800/1027] lr: 2.394e-02, eta: 14:34:51, time: 0.373, data_time: 0.001, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7625, loss_cls: 7.1010, loss: 7.1010 |
| 2025-05-15 16:12:10,032 - pyskl - INFO - Epoch [20][900/1027] lr: 2.393e-02, eta: 14:33:58, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4400, top5_acc: 0.7569, loss_cls: 7.1241, loss: 7.1241 |
| 2025-05-15 16:12:47,559 - pyskl - INFO - Epoch [20][1000/1027] lr: 2.392e-02, eta: 14:33:07, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4650, top5_acc: 0.7606, loss_cls: 7.0406, loss: 7.0406 |
| 2025-05-15 16:12:58,575 - pyskl - INFO - Saving checkpoint at 20 epochs |
| 2025-05-15 16:13:36,229 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:13:36,300 - pyskl - INFO - |
| top1_acc 0.5213 |
| top5_acc 0.8365 |
| 2025-05-15 16:13:36,300 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:13:36,308 - pyskl - INFO - |
| mean_acc 0.5191 |
| 2025-05-15 16:13:36,310 - pyskl - INFO - Epoch(val) [20][413] top1_acc: 0.5213, top5_acc: 0.8365, mean_class_accuracy: 0.5191 |
| 2025-05-15 16:14:40,389 - pyskl - INFO - Epoch [21][100/1027] lr: 2.391e-02, eta: 14:33:50, time: 0.641, data_time: 0.263, memory: 7959, top1_acc: 0.4612, top5_acc: 0.7662, loss_cls: 6.9435, loss: 6.9435 |
| 2025-05-15 16:15:17,935 - pyskl - INFO - Epoch [21][200/1027] lr: 2.390e-02, eta: 14:32:59, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4863, top5_acc: 0.7762, loss_cls: 6.9085, loss: 6.9085 |
| 2025-05-15 16:15:55,518 - pyskl - INFO - Epoch [21][300/1027] lr: 2.389e-02, eta: 14:32:09, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4594, top5_acc: 0.7625, loss_cls: 6.9764, loss: 6.9764 |
| 2025-05-15 16:16:33,382 - pyskl - INFO - Epoch [21][400/1027] lr: 2.388e-02, eta: 14:31:21, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7488, loss_cls: 7.0752, loss: 7.0752 |
| 2025-05-15 16:17:11,144 - pyskl - INFO - Epoch [21][500/1027] lr: 2.387e-02, eta: 14:30:32, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4300, top5_acc: 0.7331, loss_cls: 7.1807, loss: 7.1807 |
| 2025-05-15 16:17:48,614 - pyskl - INFO - Epoch [21][600/1027] lr: 2.386e-02, eta: 14:29:41, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4813, top5_acc: 0.7675, loss_cls: 6.9526, loss: 6.9526 |
| 2025-05-15 16:18:26,120 - pyskl - INFO - Epoch [21][700/1027] lr: 2.385e-02, eta: 14:28:51, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4644, top5_acc: 0.7825, loss_cls: 6.8761, loss: 6.8761 |
| 2025-05-15 16:19:03,431 - pyskl - INFO - Epoch [21][800/1027] lr: 2.383e-02, eta: 14:28:00, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7538, loss_cls: 7.0713, loss: 7.0713 |
| 2025-05-15 16:19:40,847 - pyskl - INFO - Epoch [21][900/1027] lr: 2.382e-02, eta: 14:27:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4531, top5_acc: 0.7581, loss_cls: 7.0822, loss: 7.0822 |
| 2025-05-15 16:20:18,213 - pyskl - INFO - Epoch [21][1000/1027] lr: 2.381e-02, eta: 14:26:18, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4481, top5_acc: 0.7506, loss_cls: 7.1113, loss: 7.1113 |
| 2025-05-15 16:20:29,115 - pyskl - INFO - Saving checkpoint at 21 epochs |
| 2025-05-15 16:21:06,776 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:21:06,852 - pyskl - INFO - |
| top1_acc 0.5568 |
| top5_acc 0.8657 |
| 2025-05-15 16:21:06,853 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:21:06,861 - pyskl - INFO - |
| mean_acc 0.5505 |
| 2025-05-15 16:21:06,917 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_19.pth was removed |
| 2025-05-15 16:21:08,512 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. |
| 2025-05-15 16:21:08,513 - pyskl - INFO - Best top1_acc is 0.5568 at 21 epoch. |
| 2025-05-15 16:21:08,517 - pyskl - INFO - Epoch(val) [21][413] top1_acc: 0.5568, top5_acc: 0.8657, mean_class_accuracy: 0.5505 |
| 2025-05-15 16:22:12,263 - pyskl - INFO - Epoch [22][100/1027] lr: 2.380e-02, eta: 14:26:54, time: 0.637, data_time: 0.259, memory: 7959, top1_acc: 0.4888, top5_acc: 0.7856, loss_cls: 6.8224, loss: 6.8224 |
| 2025-05-15 16:22:49,779 - pyskl - INFO - Epoch [22][200/1027] lr: 2.379e-02, eta: 14:26:04, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4644, top5_acc: 0.7675, loss_cls: 7.0734, loss: 7.0734 |
| 2025-05-15 16:23:27,238 - pyskl - INFO - Epoch [22][300/1027] lr: 2.378e-02, eta: 14:25:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4688, top5_acc: 0.7775, loss_cls: 6.9325, loss: 6.9325 |
| 2025-05-15 16:24:05,139 - pyskl - INFO - Epoch [22][400/1027] lr: 2.377e-02, eta: 14:24:26, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4813, top5_acc: 0.7612, loss_cls: 7.0170, loss: 7.0170 |
| 2025-05-15 16:24:42,977 - pyskl - INFO - Epoch [22][500/1027] lr: 2.376e-02, eta: 14:23:38, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4869, top5_acc: 0.7762, loss_cls: 6.8132, loss: 6.8132 |
| 2025-05-15 16:25:20,523 - pyskl - INFO - Epoch [22][600/1027] lr: 2.374e-02, eta: 14:22:48, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4675, top5_acc: 0.7581, loss_cls: 6.9906, loss: 6.9906 |
| 2025-05-15 16:25:58,068 - pyskl - INFO - Epoch [22][700/1027] lr: 2.373e-02, eta: 14:21:59, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4637, top5_acc: 0.7488, loss_cls: 7.0659, loss: 7.0659 |
| 2025-05-15 16:26:35,423 - pyskl - INFO - Epoch [22][800/1027] lr: 2.372e-02, eta: 14:21:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4531, top5_acc: 0.7462, loss_cls: 7.0172, loss: 7.0172 |
| 2025-05-15 16:27:12,792 - pyskl - INFO - Epoch [22][900/1027] lr: 2.371e-02, eta: 14:20:18, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4475, top5_acc: 0.7631, loss_cls: 7.0151, loss: 7.0151 |
| 2025-05-15 16:27:50,127 - pyskl - INFO - Epoch [22][1000/1027] lr: 2.370e-02, eta: 14:19:28, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4562, top5_acc: 0.7675, loss_cls: 6.9738, loss: 6.9738 |
| 2025-05-15 16:28:01,101 - pyskl - INFO - Saving checkpoint at 22 epochs |
| 2025-05-15 16:28:38,901 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:28:38,977 - pyskl - INFO - |
| top1_acc 0.5601 |
| top5_acc 0.8542 |
| 2025-05-15 16:28:38,977 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:28:38,987 - pyskl - INFO - |
| mean_acc 0.5513 |
| 2025-05-15 16:28:39,062 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_21.pth was removed |
| 2025-05-15 16:28:40,637 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. |
| 2025-05-15 16:28:40,638 - pyskl - INFO - Best top1_acc is 0.5601 at 22 epoch. |
| 2025-05-15 16:28:40,641 - pyskl - INFO - Epoch(val) [22][413] top1_acc: 0.5601, top5_acc: 0.8542, mean_class_accuracy: 0.5513 |
| 2025-05-15 16:29:44,938 - pyskl - INFO - Epoch [23][100/1027] lr: 2.369e-02, eta: 14:20:02, time: 0.643, data_time: 0.264, memory: 7959, top1_acc: 0.4744, top5_acc: 0.7781, loss_cls: 6.8525, loss: 6.8525 |
| 2025-05-15 16:30:22,430 - pyskl - INFO - Epoch [23][200/1027] lr: 2.367e-02, eta: 14:19:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7831, loss_cls: 6.7197, loss: 6.7197 |
| 2025-05-15 16:31:00,093 - pyskl - INFO - Epoch [23][300/1027] lr: 2.366e-02, eta: 14:18:24, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4631, top5_acc: 0.7625, loss_cls: 6.9496, loss: 6.9496 |
| 2025-05-15 16:31:38,000 - pyskl - INFO - Epoch [23][400/1027] lr: 2.365e-02, eta: 14:17:37, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5038, top5_acc: 0.7812, loss_cls: 6.7175, loss: 6.7175 |
| 2025-05-15 16:32:15,740 - pyskl - INFO - Epoch [23][500/1027] lr: 2.364e-02, eta: 14:16:49, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4325, top5_acc: 0.7656, loss_cls: 7.0722, loss: 7.0722 |
| 2025-05-15 16:32:53,131 - pyskl - INFO - Epoch [23][600/1027] lr: 2.363e-02, eta: 14:15:59, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4706, top5_acc: 0.7719, loss_cls: 7.0016, loss: 7.0016 |
| 2025-05-15 16:33:30,680 - pyskl - INFO - Epoch [23][700/1027] lr: 2.362e-02, eta: 14:15:11, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4894, top5_acc: 0.7744, loss_cls: 6.8804, loss: 6.8804 |
| 2025-05-15 16:34:08,147 - pyskl - INFO - Epoch [23][800/1027] lr: 2.360e-02, eta: 14:14:21, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4688, top5_acc: 0.7775, loss_cls: 6.8594, loss: 6.8594 |
| 2025-05-15 16:34:45,648 - pyskl - INFO - Epoch [23][900/1027] lr: 2.359e-02, eta: 14:13:32, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4819, top5_acc: 0.7644, loss_cls: 6.9901, loss: 6.9901 |
| 2025-05-15 16:35:23,145 - pyskl - INFO - Epoch [23][1000/1027] lr: 2.358e-02, eta: 14:12:44, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4363, top5_acc: 0.7519, loss_cls: 7.0612, loss: 7.0612 |
| 2025-05-15 16:35:34,097 - pyskl - INFO - Saving checkpoint at 23 epochs |
| 2025-05-15 16:36:11,951 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:36:12,024 - pyskl - INFO - |
| top1_acc 0.5696 |
| top5_acc 0.8747 |
| 2025-05-15 16:36:12,024 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:36:12,032 - pyskl - INFO - |
| mean_acc 0.5653 |
| 2025-05-15 16:36:12,092 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_22.pth was removed |
| 2025-05-15 16:36:13,666 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. |
| 2025-05-15 16:36:13,668 - pyskl - INFO - Best top1_acc is 0.5696 at 23 epoch. |
| 2025-05-15 16:36:13,671 - pyskl - INFO - Epoch(val) [23][413] top1_acc: 0.5696, top5_acc: 0.8747, mean_class_accuracy: 0.5653 |
| 2025-05-15 16:37:18,197 - pyskl - INFO - Epoch [24][100/1027] lr: 2.357e-02, eta: 14:13:15, time: 0.645, data_time: 0.266, memory: 7959, top1_acc: 0.4850, top5_acc: 0.7875, loss_cls: 6.8771, loss: 6.8771 |
| 2025-05-15 16:37:55,783 - pyskl - INFO - Epoch [24][200/1027] lr: 2.355e-02, eta: 14:12:26, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4931, top5_acc: 0.7738, loss_cls: 6.8735, loss: 6.8735 |
| 2025-05-15 16:38:33,432 - pyskl - INFO - Epoch [24][300/1027] lr: 2.354e-02, eta: 14:11:38, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4775, top5_acc: 0.7744, loss_cls: 6.7851, loss: 6.7851 |
| 2025-05-15 16:39:11,259 - pyskl - INFO - Epoch [24][400/1027] lr: 2.353e-02, eta: 14:10:51, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4769, top5_acc: 0.7788, loss_cls: 6.7462, loss: 6.7462 |
| 2025-05-15 16:39:48,750 - pyskl - INFO - Epoch [24][500/1027] lr: 2.352e-02, eta: 14:10:02, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4625, top5_acc: 0.7644, loss_cls: 7.0089, loss: 7.0089 |
| 2025-05-15 16:40:26,039 - pyskl - INFO - Epoch [24][600/1027] lr: 2.351e-02, eta: 14:09:12, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7775, loss_cls: 6.8968, loss: 6.8968 |
| 2025-05-15 16:41:03,369 - pyskl - INFO - Epoch [24][700/1027] lr: 2.349e-02, eta: 14:08:23, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4500, top5_acc: 0.7531, loss_cls: 7.0054, loss: 7.0054 |
| 2025-05-15 16:41:40,732 - pyskl - INFO - Epoch [24][800/1027] lr: 2.348e-02, eta: 14:07:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4688, top5_acc: 0.7681, loss_cls: 6.7945, loss: 6.7945 |
| 2025-05-15 16:42:18,130 - pyskl - INFO - Epoch [24][900/1027] lr: 2.347e-02, eta: 14:06:45, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4925, top5_acc: 0.8019, loss_cls: 6.7302, loss: 6.7302 |
| 2025-05-15 16:42:55,617 - pyskl - INFO - Epoch [24][1000/1027] lr: 2.346e-02, eta: 14:05:56, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4738, top5_acc: 0.7650, loss_cls: 6.9515, loss: 6.9515 |
| 2025-05-15 16:43:06,572 - pyskl - INFO - Saving checkpoint at 24 epochs |
| 2025-05-15 16:43:44,295 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:43:44,368 - pyskl - INFO - |
| top1_acc 0.5728 |
| top5_acc 0.8680 |
| 2025-05-15 16:43:44,368 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:43:44,377 - pyskl - INFO - |
| mean_acc 0.5651 |
| 2025-05-15 16:43:44,435 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_23.pth was removed |
| 2025-05-15 16:43:46,017 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. |
| 2025-05-15 16:43:46,018 - pyskl - INFO - Best top1_acc is 0.5728 at 24 epoch. |
| 2025-05-15 16:43:46,023 - pyskl - INFO - Epoch(val) [24][413] top1_acc: 0.5728, top5_acc: 0.8680, mean_class_accuracy: 0.5651 |
| 2025-05-15 16:44:50,985 - pyskl - INFO - Epoch [25][100/1027] lr: 2.344e-02, eta: 14:06:26, time: 0.650, data_time: 0.273, memory: 7959, top1_acc: 0.4662, top5_acc: 0.7794, loss_cls: 6.7536, loss: 6.7536 |
| 2025-05-15 16:45:28,416 - pyskl - INFO - Epoch [25][200/1027] lr: 2.343e-02, eta: 14:05:37, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5019, top5_acc: 0.7750, loss_cls: 6.7769, loss: 6.7769 |
| 2025-05-15 16:46:05,997 - pyskl - INFO - Epoch [25][300/1027] lr: 2.342e-02, eta: 14:04:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4850, top5_acc: 0.7719, loss_cls: 6.8371, loss: 6.8371 |
| 2025-05-15 16:46:43,822 - pyskl - INFO - Epoch [25][400/1027] lr: 2.340e-02, eta: 14:04:02, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4838, top5_acc: 0.7819, loss_cls: 6.7331, loss: 6.7331 |
| 2025-05-15 16:47:21,641 - pyskl - INFO - Epoch [25][500/1027] lr: 2.339e-02, eta: 14:03:16, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4881, top5_acc: 0.7894, loss_cls: 6.7453, loss: 6.7453 |
| 2025-05-15 16:47:59,411 - pyskl - INFO - Epoch [25][600/1027] lr: 2.338e-02, eta: 14:02:29, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4744, top5_acc: 0.7706, loss_cls: 6.7966, loss: 6.7966 |
| 2025-05-15 16:48:36,961 - pyskl - INFO - Epoch [25][700/1027] lr: 2.337e-02, eta: 14:01:41, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4794, top5_acc: 0.7831, loss_cls: 6.7591, loss: 6.7591 |
| 2025-05-15 16:49:14,441 - pyskl - INFO - Epoch [25][800/1027] lr: 2.335e-02, eta: 14:00:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4619, top5_acc: 0.7619, loss_cls: 6.8504, loss: 6.8504 |
| 2025-05-15 16:49:52,076 - pyskl - INFO - Epoch [25][900/1027] lr: 2.334e-02, eta: 14:00:06, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4775, top5_acc: 0.7719, loss_cls: 6.9274, loss: 6.9274 |
| 2025-05-15 16:50:29,946 - pyskl - INFO - Epoch [25][1000/1027] lr: 2.333e-02, eta: 13:59:19, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4763, top5_acc: 0.7738, loss_cls: 6.8804, loss: 6.8804 |
| 2025-05-15 16:50:41,075 - pyskl - INFO - Saving checkpoint at 25 epochs |
| 2025-05-15 16:51:18,882 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:51:18,957 - pyskl - INFO - |
| top1_acc 0.5578 |
| top5_acc 0.8644 |
| 2025-05-15 16:51:18,958 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:51:18,965 - pyskl - INFO - |
| mean_acc 0.5528 |
| 2025-05-15 16:51:18,967 - pyskl - INFO - Epoch(val) [25][413] top1_acc: 0.5578, top5_acc: 0.8644, mean_class_accuracy: 0.5528 |
| 2025-05-15 16:52:23,074 - pyskl - INFO - Epoch [26][100/1027] lr: 2.331e-02, eta: 13:59:41, time: 0.641, data_time: 0.264, memory: 7959, top1_acc: 0.5038, top5_acc: 0.7906, loss_cls: 6.7733, loss: 6.7733 |
| 2025-05-15 16:53:00,453 - pyskl - INFO - Epoch [26][200/1027] lr: 2.330e-02, eta: 13:58:52, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4875, top5_acc: 0.7863, loss_cls: 6.7298, loss: 6.7298 |
| 2025-05-15 16:53:38,281 - pyskl - INFO - Epoch [26][300/1027] lr: 2.329e-02, eta: 13:58:06, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4875, top5_acc: 0.7869, loss_cls: 6.7754, loss: 6.7754 |
| 2025-05-15 16:54:15,987 - pyskl - INFO - Epoch [26][400/1027] lr: 2.327e-02, eta: 13:57:19, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4838, top5_acc: 0.7788, loss_cls: 6.8084, loss: 6.8084 |
| 2025-05-15 16:54:53,481 - pyskl - INFO - Epoch [26][500/1027] lr: 2.326e-02, eta: 13:56:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.7688, loss_cls: 6.8308, loss: 6.8308 |
| 2025-05-15 16:55:30,959 - pyskl - INFO - Epoch [26][600/1027] lr: 2.325e-02, eta: 13:55:43, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4831, top5_acc: 0.7681, loss_cls: 6.8736, loss: 6.8736 |
| 2025-05-15 16:56:08,371 - pyskl - INFO - Epoch [26][700/1027] lr: 2.324e-02, eta: 13:54:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4850, top5_acc: 0.7750, loss_cls: 6.8439, loss: 6.8439 |
| 2025-05-15 16:56:45,867 - pyskl - INFO - Epoch [26][800/1027] lr: 2.322e-02, eta: 13:54:07, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.7925, loss_cls: 6.6802, loss: 6.6802 |
| 2025-05-15 16:57:23,283 - pyskl - INFO - Epoch [26][900/1027] lr: 2.321e-02, eta: 13:53:19, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4744, top5_acc: 0.7712, loss_cls: 6.9120, loss: 6.9120 |
| 2025-05-15 16:58:00,725 - pyskl - INFO - Epoch [26][1000/1027] lr: 2.320e-02, eta: 13:52:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4838, top5_acc: 0.7638, loss_cls: 6.8964, loss: 6.8964 |
| 2025-05-15 16:58:11,784 - pyskl - INFO - Saving checkpoint at 26 epochs |
| 2025-05-15 16:58:49,842 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:58:49,920 - pyskl - INFO - |
| top1_acc 0.5568 |
| top5_acc 0.8536 |
| 2025-05-15 16:58:49,920 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:58:49,930 - pyskl - INFO - |
| mean_acc 0.5501 |
| 2025-05-15 16:58:49,933 - pyskl - INFO - Epoch(val) [26][413] top1_acc: 0.5568, top5_acc: 0.8536, mean_class_accuracy: 0.5501 |
| 2025-05-15 16:59:54,300 - pyskl - INFO - Epoch [27][100/1027] lr: 2.318e-02, eta: 13:52:51, time: 0.644, data_time: 0.267, memory: 7959, top1_acc: 0.4969, top5_acc: 0.7969, loss_cls: 6.7439, loss: 6.7439 |
| 2025-05-15 17:00:31,803 - pyskl - INFO - Epoch [27][200/1027] lr: 2.317e-02, eta: 13:52:03, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.7956, loss_cls: 6.6889, loss: 6.6889 |
| 2025-05-15 17:01:09,502 - pyskl - INFO - Epoch [27][300/1027] lr: 2.315e-02, eta: 13:51:17, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.8063, loss_cls: 6.6250, loss: 6.6250 |
| 2025-05-15 17:01:47,118 - pyskl - INFO - Epoch [27][400/1027] lr: 2.314e-02, eta: 13:50:30, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4775, top5_acc: 0.7619, loss_cls: 6.9413, loss: 6.9413 |
| 2025-05-15 17:02:24,755 - pyskl - INFO - Epoch [27][500/1027] lr: 2.313e-02, eta: 13:49:43, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5044, top5_acc: 0.7856, loss_cls: 6.7263, loss: 6.7263 |
| 2025-05-15 17:03:02,196 - pyskl - INFO - Epoch [27][600/1027] lr: 2.311e-02, eta: 13:48:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4869, top5_acc: 0.7831, loss_cls: 6.7783, loss: 6.7783 |
| 2025-05-15 17:03:39,782 - pyskl - INFO - Epoch [27][700/1027] lr: 2.310e-02, eta: 13:48:08, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5031, top5_acc: 0.7944, loss_cls: 6.7774, loss: 6.7774 |
| 2025-05-15 17:04:17,250 - pyskl - INFO - Epoch [27][800/1027] lr: 2.309e-02, eta: 13:47:21, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4863, top5_acc: 0.7669, loss_cls: 6.8497, loss: 6.8497 |
| 2025-05-15 17:04:54,740 - pyskl - INFO - Epoch [27][900/1027] lr: 2.307e-02, eta: 13:46:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4950, top5_acc: 0.7850, loss_cls: 6.7130, loss: 6.7130 |
| 2025-05-15 17:05:32,126 - pyskl - INFO - Epoch [27][1000/1027] lr: 2.306e-02, eta: 13:45:46, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4738, top5_acc: 0.7831, loss_cls: 6.9104, loss: 6.9104 |
| 2025-05-15 17:05:42,994 - pyskl - INFO - Saving checkpoint at 27 epochs |
| 2025-05-15 17:06:21,118 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:06:21,193 - pyskl - INFO - |
| top1_acc 0.5705 |
| top5_acc 0.8644 |
| 2025-05-15 17:06:21,193 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:06:21,202 - pyskl - INFO - |
| mean_acc 0.5701 |
| 2025-05-15 17:06:21,204 - pyskl - INFO - Epoch(val) [27][413] top1_acc: 0.5705, top5_acc: 0.8644, mean_class_accuracy: 0.5701 |
| 2025-05-15 17:07:25,606 - pyskl - INFO - Epoch [28][100/1027] lr: 2.304e-02, eta: 13:46:03, time: 0.644, data_time: 0.267, memory: 7959, top1_acc: 0.5306, top5_acc: 0.8063, loss_cls: 6.5294, loss: 6.5294 |
| 2025-05-15 17:08:02,979 - pyskl - INFO - Epoch [28][200/1027] lr: 2.303e-02, eta: 13:45:15, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5025, top5_acc: 0.7981, loss_cls: 6.6432, loss: 6.6432 |
| 2025-05-15 17:08:40,613 - pyskl - INFO - Epoch [28][300/1027] lr: 2.301e-02, eta: 13:44:28, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4925, top5_acc: 0.7994, loss_cls: 6.7485, loss: 6.7485 |
| 2025-05-15 17:09:18,422 - pyskl - INFO - Epoch [28][400/1027] lr: 2.300e-02, eta: 13:43:43, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4794, top5_acc: 0.7819, loss_cls: 6.8845, loss: 6.8845 |
| 2025-05-15 17:09:56,009 - pyskl - INFO - Epoch [28][500/1027] lr: 2.299e-02, eta: 13:42:56, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4944, top5_acc: 0.7906, loss_cls: 6.7569, loss: 6.7569 |
| 2025-05-15 17:10:33,415 - pyskl - INFO - Epoch [28][600/1027] lr: 2.297e-02, eta: 13:42:08, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5000, top5_acc: 0.7731, loss_cls: 6.7120, loss: 6.7120 |
| 2025-05-15 17:11:10,828 - pyskl - INFO - Epoch [28][700/1027] lr: 2.296e-02, eta: 13:41:21, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.7850, loss_cls: 6.7646, loss: 6.7646 |
| 2025-05-15 17:11:48,253 - pyskl - INFO - Epoch [28][800/1027] lr: 2.294e-02, eta: 13:40:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4813, top5_acc: 0.7731, loss_cls: 6.7336, loss: 6.7336 |
| 2025-05-15 17:12:25,696 - pyskl - INFO - Epoch [28][900/1027] lr: 2.293e-02, eta: 13:39:47, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4956, top5_acc: 0.7775, loss_cls: 6.7776, loss: 6.7776 |
| 2025-05-15 17:13:03,141 - pyskl - INFO - Epoch [28][1000/1027] lr: 2.292e-02, eta: 13:39:00, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5044, top5_acc: 0.7856, loss_cls: 6.6292, loss: 6.6292 |
| 2025-05-15 17:13:14,009 - pyskl - INFO - Saving checkpoint at 28 epochs |
| 2025-05-15 17:13:52,214 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:13:52,286 - pyskl - INFO - |
| top1_acc 0.5205 |
| top5_acc 0.8332 |
| 2025-05-15 17:13:52,286 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:13:52,294 - pyskl - INFO - |
| mean_acc 0.5188 |
| 2025-05-15 17:13:52,295 - pyskl - INFO - Epoch(val) [28][413] top1_acc: 0.5205, top5_acc: 0.8332, mean_class_accuracy: 0.5188 |
| 2025-05-15 17:14:56,767 - pyskl - INFO - Epoch [29][100/1027] lr: 2.290e-02, eta: 13:39:14, time: 0.645, data_time: 0.265, memory: 7959, top1_acc: 0.5144, top5_acc: 0.8031, loss_cls: 6.5684, loss: 6.5684 |
| 2025-05-15 17:15:34,278 - pyskl - INFO - Epoch [29][200/1027] lr: 2.288e-02, eta: 13:38:27, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5150, top5_acc: 0.7981, loss_cls: 6.5857, loss: 6.5857 |
| 2025-05-15 17:16:12,384 - pyskl - INFO - Epoch [29][300/1027] lr: 2.287e-02, eta: 13:37:43, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4850, top5_acc: 0.7750, loss_cls: 6.7637, loss: 6.7637 |
| 2025-05-15 17:16:50,221 - pyskl - INFO - Epoch [29][400/1027] lr: 2.285e-02, eta: 13:36:58, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5088, top5_acc: 0.8044, loss_cls: 6.6019, loss: 6.6019 |
| 2025-05-15 17:17:27,660 - pyskl - INFO - Epoch [29][500/1027] lr: 2.284e-02, eta: 13:36:11, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5000, top5_acc: 0.7969, loss_cls: 6.6677, loss: 6.6677 |
| 2025-05-15 17:18:05,142 - pyskl - INFO - Epoch [29][600/1027] lr: 2.283e-02, eta: 13:35:24, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5038, top5_acc: 0.7856, loss_cls: 6.7220, loss: 6.7220 |
| 2025-05-15 17:18:42,696 - pyskl - INFO - Epoch [29][700/1027] lr: 2.281e-02, eta: 13:34:37, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4988, top5_acc: 0.8044, loss_cls: 6.6755, loss: 6.6755 |
| 2025-05-15 17:19:20,105 - pyskl - INFO - Epoch [29][800/1027] lr: 2.280e-02, eta: 13:33:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5156, top5_acc: 0.7900, loss_cls: 6.6207, loss: 6.6207 |
| 2025-05-15 17:19:57,419 - pyskl - INFO - Epoch [29][900/1027] lr: 2.278e-02, eta: 13:33:03, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4794, top5_acc: 0.7619, loss_cls: 6.8186, loss: 6.8186 |
| 2025-05-15 17:20:35,048 - pyskl - INFO - Epoch [29][1000/1027] lr: 2.277e-02, eta: 13:32:17, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.7812, loss_cls: 6.6500, loss: 6.6500 |
| 2025-05-15 17:20:46,091 - pyskl - INFO - Saving checkpoint at 29 epochs |
| 2025-05-15 17:21:24,092 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:21:24,168 - pyskl - INFO - |
| top1_acc 0.5904 |
| top5_acc 0.8765 |
| 2025-05-15 17:21:24,168 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:21:24,178 - pyskl - INFO - |
| mean_acc 0.5931 |
| 2025-05-15 17:21:24,240 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_24.pth was removed |
| 2025-05-15 17:21:25,810 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. |
| 2025-05-15 17:21:25,811 - pyskl - INFO - Best top1_acc is 0.5904 at 29 epoch. |
| 2025-05-15 17:21:25,814 - pyskl - INFO - Epoch(val) [29][413] top1_acc: 0.5904, top5_acc: 0.8765, mean_class_accuracy: 0.5931 |
| 2025-05-15 17:22:29,389 - pyskl - INFO - Epoch [30][100/1027] lr: 2.275e-02, eta: 13:32:25, time: 0.636, data_time: 0.260, memory: 7959, top1_acc: 0.5269, top5_acc: 0.7900, loss_cls: 6.5529, loss: 6.5529 |
| 2025-05-15 17:23:06,826 - pyskl - INFO - Epoch [30][200/1027] lr: 2.274e-02, eta: 13:31:38, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5081, top5_acc: 0.8013, loss_cls: 6.6624, loss: 6.6624 |
| 2025-05-15 17:23:44,520 - pyskl - INFO - Epoch [30][300/1027] lr: 2.272e-02, eta: 13:30:52, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5012, top5_acc: 0.7900, loss_cls: 6.7009, loss: 6.7009 |
| 2025-05-15 17:24:22,448 - pyskl - INFO - Epoch [30][400/1027] lr: 2.271e-02, eta: 13:30:08, time: 0.379, data_time: 0.001, memory: 7959, top1_acc: 0.4925, top5_acc: 0.7906, loss_cls: 6.6562, loss: 6.6562 |
| 2025-05-15 17:25:00,052 - pyskl - INFO - Epoch [30][500/1027] lr: 2.269e-02, eta: 13:29:22, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5056, top5_acc: 0.7963, loss_cls: 6.6883, loss: 6.6883 |
| 2025-05-15 17:25:37,469 - pyskl - INFO - Epoch [30][600/1027] lr: 2.268e-02, eta: 13:28:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.7769, loss_cls: 6.6985, loss: 6.6985 |
| 2025-05-15 17:26:15,063 - pyskl - INFO - Epoch [30][700/1027] lr: 2.266e-02, eta: 13:27:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5031, top5_acc: 0.7975, loss_cls: 6.7331, loss: 6.7331 |
| 2025-05-15 17:26:52,337 - pyskl - INFO - Epoch [30][800/1027] lr: 2.265e-02, eta: 13:27:02, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4913, top5_acc: 0.7950, loss_cls: 6.7778, loss: 6.7778 |
| 2025-05-15 17:27:29,807 - pyskl - INFO - Epoch [30][900/1027] lr: 2.263e-02, eta: 13:26:16, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5162, top5_acc: 0.8044, loss_cls: 6.5779, loss: 6.5779 |
| 2025-05-15 17:28:07,627 - pyskl - INFO - Epoch [30][1000/1027] lr: 2.262e-02, eta: 13:25:31, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5150, top5_acc: 0.7987, loss_cls: 6.6791, loss: 6.6791 |
| 2025-05-15 17:28:19,026 - pyskl - INFO - Saving checkpoint at 30 epochs |
| 2025-05-15 17:28:57,023 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:28:57,097 - pyskl - INFO - |
| top1_acc 0.5754 |
| top5_acc 0.8782 |
| 2025-05-15 17:28:57,098 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:28:57,107 - pyskl - INFO - |
| mean_acc 0.5697 |
| 2025-05-15 17:28:57,110 - pyskl - INFO - Epoch(val) [30][413] top1_acc: 0.5754, top5_acc: 0.8782, mean_class_accuracy: 0.5697 |
| 2025-05-15 17:30:00,927 - pyskl - INFO - Epoch [31][100/1027] lr: 2.260e-02, eta: 13:25:37, time: 0.638, data_time: 0.263, memory: 7959, top1_acc: 0.5281, top5_acc: 0.8063, loss_cls: 6.4251, loss: 6.4251 |
| 2025-05-15 17:30:38,278 - pyskl - INFO - Epoch [31][200/1027] lr: 2.258e-02, eta: 13:24:50, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5156, top5_acc: 0.7963, loss_cls: 6.6271, loss: 6.6271 |
| 2025-05-15 17:31:16,131 - pyskl - INFO - Epoch [31][300/1027] lr: 2.257e-02, eta: 13:24:06, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5194, top5_acc: 0.7906, loss_cls: 6.6357, loss: 6.6357 |
| 2025-05-15 17:31:53,906 - pyskl - INFO - Epoch [31][400/1027] lr: 2.255e-02, eta: 13:23:21, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5069, top5_acc: 0.7919, loss_cls: 6.6928, loss: 6.6928 |
| 2025-05-15 17:32:31,255 - pyskl - INFO - Epoch [31][500/1027] lr: 2.254e-02, eta: 13:22:34, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4700, top5_acc: 0.7775, loss_cls: 6.7619, loss: 6.7619 |
| 2025-05-15 17:33:08,611 - pyskl - INFO - Epoch [31][600/1027] lr: 2.252e-02, eta: 13:21:47, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5206, top5_acc: 0.7950, loss_cls: 6.7087, loss: 6.7087 |
| 2025-05-15 17:33:45,889 - pyskl - INFO - Epoch [31][700/1027] lr: 2.251e-02, eta: 13:21:01, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5038, top5_acc: 0.7987, loss_cls: 6.6442, loss: 6.6442 |
| 2025-05-15 17:34:23,251 - pyskl - INFO - Epoch [31][800/1027] lr: 2.249e-02, eta: 13:20:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5081, top5_acc: 0.7975, loss_cls: 6.6101, loss: 6.6101 |
| 2025-05-15 17:35:00,580 - pyskl - INFO - Epoch [31][900/1027] lr: 2.248e-02, eta: 13:19:28, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5194, top5_acc: 0.8019, loss_cls: 6.5970, loss: 6.5970 |
| 2025-05-15 17:35:38,142 - pyskl - INFO - Epoch [31][1000/1027] lr: 2.246e-02, eta: 13:18:42, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4919, top5_acc: 0.7856, loss_cls: 6.6971, loss: 6.6971 |
| 2025-05-15 17:35:49,134 - pyskl - INFO - Saving checkpoint at 31 epochs |
| 2025-05-15 17:36:27,630 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:36:27,709 - pyskl - INFO - |
| top1_acc 0.5543 |
| top5_acc 0.8571 |
| 2025-05-15 17:36:27,709 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:36:27,720 - pyskl - INFO - |
| mean_acc 0.5513 |
| 2025-05-15 17:36:27,722 - pyskl - INFO - Epoch(val) [31][413] top1_acc: 0.5543, top5_acc: 0.8571, mean_class_accuracy: 0.5513 |
| 2025-05-15 17:37:32,739 - pyskl - INFO - Epoch [32][100/1027] lr: 2.244e-02, eta: 13:18:51, time: 0.650, data_time: 0.273, memory: 7959, top1_acc: 0.5294, top5_acc: 0.8113, loss_cls: 6.4673, loss: 6.4673 |
| 2025-05-15 17:38:10,585 - pyskl - INFO - Epoch [32][200/1027] lr: 2.243e-02, eta: 13:18:06, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.8113, loss_cls: 6.5004, loss: 6.5004 |
| 2025-05-15 17:38:48,477 - pyskl - INFO - Epoch [32][300/1027] lr: 2.241e-02, eta: 13:17:22, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5262, top5_acc: 0.8106, loss_cls: 6.4499, loss: 6.4499 |
| 2025-05-15 17:39:26,264 - pyskl - INFO - Epoch [32][400/1027] lr: 2.239e-02, eta: 13:16:37, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4956, top5_acc: 0.7856, loss_cls: 6.7156, loss: 6.7156 |
| 2025-05-15 17:40:03,698 - pyskl - INFO - Epoch [32][500/1027] lr: 2.238e-02, eta: 13:15:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5006, top5_acc: 0.7744, loss_cls: 6.7884, loss: 6.7884 |
| 2025-05-15 17:40:41,291 - pyskl - INFO - Epoch [32][600/1027] lr: 2.236e-02, eta: 13:15:05, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7969, loss_cls: 6.6392, loss: 6.6392 |
| 2025-05-15 17:41:18,973 - pyskl - INFO - Epoch [32][700/1027] lr: 2.235e-02, eta: 13:14:20, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5100, top5_acc: 0.7969, loss_cls: 6.5244, loss: 6.5244 |
| 2025-05-15 17:41:56,365 - pyskl - INFO - Epoch [32][800/1027] lr: 2.233e-02, eta: 13:13:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5269, top5_acc: 0.8087, loss_cls: 6.5638, loss: 6.5638 |
| 2025-05-15 17:42:33,715 - pyskl - INFO - Epoch [32][900/1027] lr: 2.232e-02, eta: 13:12:48, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.8013, loss_cls: 6.6429, loss: 6.6429 |
| 2025-05-15 17:43:11,108 - pyskl - INFO - Epoch [32][1000/1027] lr: 2.230e-02, eta: 13:12:02, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5062, top5_acc: 0.7831, loss_cls: 6.7492, loss: 6.7492 |
| 2025-05-15 17:43:22,183 - pyskl - INFO - Saving checkpoint at 32 epochs |
| 2025-05-15 17:43:59,956 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:44:00,030 - pyskl - INFO - |
| top1_acc 0.5813 |
| top5_acc 0.8657 |
| 2025-05-15 17:44:00,030 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:44:00,038 - pyskl - INFO - |
| mean_acc 0.5764 |
| 2025-05-15 17:44:00,041 - pyskl - INFO - Epoch(val) [32][413] top1_acc: 0.5813, top5_acc: 0.8657, mean_class_accuracy: 0.5764 |
| 2025-05-15 17:45:03,019 - pyskl - INFO - Epoch [33][100/1027] lr: 2.228e-02, eta: 13:12:01, time: 0.630, data_time: 0.260, memory: 7959, top1_acc: 0.5300, top5_acc: 0.8113, loss_cls: 6.4582, loss: 6.4582 |
| 2025-05-15 17:45:39,941 - pyskl - INFO - Epoch [33][200/1027] lr: 2.226e-02, eta: 13:11:13, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.8063, loss_cls: 6.5499, loss: 6.5499 |
| 2025-05-15 17:46:17,104 - pyskl - INFO - Epoch [33][300/1027] lr: 2.225e-02, eta: 13:10:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.8006, loss_cls: 6.6306, loss: 6.6306 |
| 2025-05-15 17:46:54,845 - pyskl - INFO - Epoch [33][400/1027] lr: 2.223e-02, eta: 13:09:42, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5262, top5_acc: 0.8037, loss_cls: 6.5102, loss: 6.5102 |
| 2025-05-15 17:47:32,231 - pyskl - INFO - Epoch [33][500/1027] lr: 2.222e-02, eta: 13:08:56, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5269, top5_acc: 0.8087, loss_cls: 6.5007, loss: 6.5007 |
| 2025-05-15 17:48:09,892 - pyskl - INFO - Epoch [33][600/1027] lr: 2.220e-02, eta: 13:08:11, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7925, loss_cls: 6.6573, loss: 6.6573 |
| 2025-05-15 17:48:47,260 - pyskl - INFO - Epoch [33][700/1027] lr: 2.218e-02, eta: 13:07:25, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5081, top5_acc: 0.7975, loss_cls: 6.5757, loss: 6.5757 |
| 2025-05-15 17:49:24,679 - pyskl - INFO - Epoch [33][800/1027] lr: 2.217e-02, eta: 13:06:39, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5144, top5_acc: 0.8031, loss_cls: 6.5215, loss: 6.5215 |
| 2025-05-15 17:50:02,185 - pyskl - INFO - Epoch [33][900/1027] lr: 2.215e-02, eta: 13:05:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5144, top5_acc: 0.7881, loss_cls: 6.5471, loss: 6.5471 |
| 2025-05-15 17:50:39,831 - pyskl - INFO - Epoch [33][1000/1027] lr: 2.214e-02, eta: 13:05:09, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5275, top5_acc: 0.8031, loss_cls: 6.4155, loss: 6.4155 |
| 2025-05-15 17:50:50,852 - pyskl - INFO - Saving checkpoint at 33 epochs |
| 2025-05-15 17:51:29,030 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:51:29,104 - pyskl - INFO - |
| top1_acc 0.6052 |
| top5_acc 0.8807 |
| 2025-05-15 17:51:29,104 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:51:29,113 - pyskl - INFO - |
| mean_acc 0.5970 |
| 2025-05-15 17:51:29,173 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_29.pth was removed |
| 2025-05-15 17:51:30,755 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_33.pth. |
| 2025-05-15 17:51:30,757 - pyskl - INFO - Best top1_acc is 0.6052 at 33 epoch. |
| 2025-05-15 17:51:30,761 - pyskl - INFO - Epoch(val) [33][413] top1_acc: 0.6052, top5_acc: 0.8807, mean_class_accuracy: 0.5970 |
| 2025-05-15 17:52:34,371 - pyskl - INFO - Epoch [34][100/1027] lr: 2.212e-02, eta: 13:05:08, time: 0.636, data_time: 0.259, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8125, loss_cls: 6.4472, loss: 6.4472 |
| 2025-05-15 17:53:11,998 - pyskl - INFO - Epoch [34][200/1027] lr: 2.210e-02, eta: 13:04:24, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5300, top5_acc: 0.8006, loss_cls: 6.4880, loss: 6.4880 |
| 2025-05-15 17:53:49,973 - pyskl - INFO - Epoch [34][300/1027] lr: 2.208e-02, eta: 13:03:40, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.8063, loss_cls: 6.6150, loss: 6.6150 |
| 2025-05-15 17:54:27,964 - pyskl - INFO - Epoch [34][400/1027] lr: 2.207e-02, eta: 13:02:56, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5469, top5_acc: 0.8031, loss_cls: 6.4589, loss: 6.4589 |
| 2025-05-15 17:55:05,261 - pyskl - INFO - Epoch [34][500/1027] lr: 2.205e-02, eta: 13:02:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5081, top5_acc: 0.7825, loss_cls: 6.7233, loss: 6.7233 |
| 2025-05-15 17:55:42,691 - pyskl - INFO - Epoch [34][600/1027] lr: 2.203e-02, eta: 13:01:25, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5206, top5_acc: 0.8113, loss_cls: 6.5753, loss: 6.5753 |
| 2025-05-15 17:56:20,160 - pyskl - INFO - Epoch [34][700/1027] lr: 2.202e-02, eta: 13:00:40, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5150, top5_acc: 0.8031, loss_cls: 6.5530, loss: 6.5530 |
| 2025-05-15 17:56:57,579 - pyskl - INFO - Epoch [34][800/1027] lr: 2.200e-02, eta: 12:59:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5162, top5_acc: 0.8019, loss_cls: 6.5598, loss: 6.5598 |
| 2025-05-15 17:57:34,950 - pyskl - INFO - Epoch [34][900/1027] lr: 2.198e-02, eta: 12:59:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7969, loss_cls: 6.6667, loss: 6.6667 |
| 2025-05-15 17:58:12,432 - pyskl - INFO - Epoch [34][1000/1027] lr: 2.197e-02, eta: 12:58:24, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5231, top5_acc: 0.7950, loss_cls: 6.4684, loss: 6.4684 |
| 2025-05-15 17:58:23,485 - pyskl - INFO - Saving checkpoint at 34 epochs |
| 2025-05-15 17:59:01,879 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:59:01,953 - pyskl - INFO - |
| top1_acc 0.5845 |
| top5_acc 0.8750 |
| 2025-05-15 17:59:01,954 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:59:01,963 - pyskl - INFO - |
| mean_acc 0.5784 |
| 2025-05-15 17:59:01,966 - pyskl - INFO - Epoch(val) [34][413] top1_acc: 0.5845, top5_acc: 0.8750, mean_class_accuracy: 0.5784 |
| 2025-05-15 18:00:06,312 - pyskl - INFO - Epoch [35][100/1027] lr: 2.195e-02, eta: 12:58:23, time: 0.643, data_time: 0.268, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8287, loss_cls: 6.3846, loss: 6.3846 |
| 2025-05-15 18:00:43,786 - pyskl - INFO - Epoch [35][200/1027] lr: 2.193e-02, eta: 12:57:38, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5212, top5_acc: 0.7969, loss_cls: 6.5611, loss: 6.5611 |
| 2025-05-15 18:01:21,511 - pyskl - INFO - Epoch [35][300/1027] lr: 2.191e-02, eta: 12:56:54, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.8319, loss_cls: 6.4212, loss: 6.4212 |
| 2025-05-15 18:01:59,211 - pyskl - INFO - Epoch [35][400/1027] lr: 2.190e-02, eta: 12:56:10, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5337, top5_acc: 0.8156, loss_cls: 6.4222, loss: 6.4222 |
| 2025-05-15 18:02:36,649 - pyskl - INFO - Epoch [35][500/1027] lr: 2.188e-02, eta: 12:55:24, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5075, top5_acc: 0.7831, loss_cls: 6.7069, loss: 6.7069 |
| 2025-05-15 18:03:14,084 - pyskl - INFO - Epoch [35][600/1027] lr: 2.186e-02, eta: 12:54:39, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5437, top5_acc: 0.8131, loss_cls: 6.4368, loss: 6.4368 |
| 2025-05-15 18:03:51,577 - pyskl - INFO - Epoch [35][700/1027] lr: 2.185e-02, eta: 12:53:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7900, loss_cls: 6.6777, loss: 6.6777 |
| 2025-05-15 18:04:29,017 - pyskl - INFO - Epoch [35][800/1027] lr: 2.183e-02, eta: 12:53:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5194, top5_acc: 0.8056, loss_cls: 6.5326, loss: 6.5326 |
| 2025-05-15 18:05:06,515 - pyskl - INFO - Epoch [35][900/1027] lr: 2.181e-02, eta: 12:52:24, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5225, top5_acc: 0.7956, loss_cls: 6.4980, loss: 6.4980 |
| 2025-05-15 18:05:44,057 - pyskl - INFO - Epoch [35][1000/1027] lr: 2.179e-02, eta: 12:51:40, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.8069, loss_cls: 6.5172, loss: 6.5172 |
| 2025-05-15 18:05:55,129 - pyskl - INFO - Saving checkpoint at 35 epochs |
| 2025-05-15 18:06:33,002 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:06:33,080 - pyskl - INFO - |
| top1_acc 0.5883 |
| top5_acc 0.8710 |
| 2025-05-15 18:06:33,080 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:06:33,091 - pyskl - INFO - |
| mean_acc 0.5830 |
| 2025-05-15 18:06:33,094 - pyskl - INFO - Epoch(val) [35][413] top1_acc: 0.5883, top5_acc: 0.8710, mean_class_accuracy: 0.5830 |
| 2025-05-15 18:07:37,465 - pyskl - INFO - Epoch [36][100/1027] lr: 2.177e-02, eta: 12:51:38, time: 0.644, data_time: 0.266, memory: 7959, top1_acc: 0.5356, top5_acc: 0.8225, loss_cls: 6.3669, loss: 6.3669 |
| 2025-05-15 18:08:15,064 - pyskl - INFO - Epoch [36][200/1027] lr: 2.176e-02, eta: 12:50:53, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.8150, loss_cls: 6.3466, loss: 6.3466 |
| 2025-05-15 18:08:52,744 - pyskl - INFO - Epoch [36][300/1027] lr: 2.174e-02, eta: 12:50:09, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8100, loss_cls: 6.4737, loss: 6.4737 |
| 2025-05-15 18:09:30,633 - pyskl - INFO - Epoch [36][400/1027] lr: 2.172e-02, eta: 12:49:25, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5400, top5_acc: 0.8025, loss_cls: 6.4165, loss: 6.4165 |
| 2025-05-15 18:10:08,202 - pyskl - INFO - Epoch [36][500/1027] lr: 2.170e-02, eta: 12:48:41, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5256, top5_acc: 0.8006, loss_cls: 6.5298, loss: 6.5298 |
| 2025-05-15 18:10:45,655 - pyskl - INFO - Epoch [36][600/1027] lr: 2.169e-02, eta: 12:47:56, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5125, top5_acc: 0.7844, loss_cls: 6.5294, loss: 6.5294 |
| 2025-05-15 18:11:23,090 - pyskl - INFO - Epoch [36][700/1027] lr: 2.167e-02, eta: 12:47:11, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.7931, loss_cls: 6.5215, loss: 6.5215 |
| 2025-05-15 18:12:00,533 - pyskl - INFO - Epoch [36][800/1027] lr: 2.165e-02, eta: 12:46:26, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5312, top5_acc: 0.8200, loss_cls: 6.4324, loss: 6.4324 |
| 2025-05-15 18:12:37,948 - pyskl - INFO - Epoch [36][900/1027] lr: 2.163e-02, eta: 12:45:41, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5144, top5_acc: 0.8031, loss_cls: 6.6069, loss: 6.6069 |
| 2025-05-15 18:13:15,531 - pyskl - INFO - Epoch [36][1000/1027] lr: 2.162e-02, eta: 12:44:57, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5250, top5_acc: 0.8106, loss_cls: 6.4847, loss: 6.4847 |
| 2025-05-15 18:13:26,624 - pyskl - INFO - Saving checkpoint at 36 epochs |
| 2025-05-15 18:14:04,882 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:14:04,960 - pyskl - INFO - |
| top1_acc 0.6086 |
| top5_acc 0.8982 |
| 2025-05-15 18:14:04,961 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:14:04,970 - pyskl - INFO - |
| mean_acc 0.6089 |
| 2025-05-15 18:14:05,037 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_33.pth was removed |
| 2025-05-15 18:14:06,687 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. |
| 2025-05-15 18:14:06,688 - pyskl - INFO - Best top1_acc is 0.6086 at 36 epoch. |
| 2025-05-15 18:14:06,691 - pyskl - INFO - Epoch(val) [36][413] top1_acc: 0.6086, top5_acc: 0.8982, mean_class_accuracy: 0.6089 |
| 2025-05-15 18:15:09,672 - pyskl - INFO - Epoch [37][100/1027] lr: 2.159e-02, eta: 12:44:49, time: 0.630, data_time: 0.256, memory: 7959, top1_acc: 0.5344, top5_acc: 0.8281, loss_cls: 6.2989, loss: 6.2989 |
| 2025-05-15 18:15:47,035 - pyskl - INFO - Epoch [37][200/1027] lr: 2.158e-02, eta: 12:44:04, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5294, top5_acc: 0.8181, loss_cls: 6.3546, loss: 6.3546 |
| 2025-05-15 18:16:24,702 - pyskl - INFO - Epoch [37][300/1027] lr: 2.156e-02, eta: 12:43:20, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8319, loss_cls: 6.2707, loss: 6.2707 |
| 2025-05-15 18:17:02,394 - pyskl - INFO - Epoch [37][400/1027] lr: 2.154e-02, eta: 12:42:36, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.8119, loss_cls: 6.3709, loss: 6.3709 |
| 2025-05-15 18:17:40,002 - pyskl - INFO - Epoch [37][500/1027] lr: 2.152e-02, eta: 12:41:51, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5406, top5_acc: 0.8069, loss_cls: 6.3524, loss: 6.3524 |
| 2025-05-15 18:18:17,401 - pyskl - INFO - Epoch [37][600/1027] lr: 2.151e-02, eta: 12:41:07, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5281, top5_acc: 0.7831, loss_cls: 6.6380, loss: 6.6380 |
| 2025-05-15 18:18:54,938 - pyskl - INFO - Epoch [37][700/1027] lr: 2.149e-02, eta: 12:40:22, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5156, top5_acc: 0.7956, loss_cls: 6.5327, loss: 6.5327 |
| 2025-05-15 18:19:32,616 - pyskl - INFO - Epoch [37][800/1027] lr: 2.147e-02, eta: 12:39:38, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.8175, loss_cls: 6.5383, loss: 6.5383 |
| 2025-05-15 18:20:10,065 - pyskl - INFO - Epoch [37][900/1027] lr: 2.145e-02, eta: 12:38:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5375, top5_acc: 0.8175, loss_cls: 6.4125, loss: 6.4125 |
| 2025-05-15 18:20:47,582 - pyskl - INFO - Epoch [37][1000/1027] lr: 2.144e-02, eta: 12:38:09, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5262, top5_acc: 0.8075, loss_cls: 6.5402, loss: 6.5402 |
| 2025-05-15 18:20:59,048 - pyskl - INFO - Saving checkpoint at 37 epochs |
| 2025-05-15 18:21:37,107 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:21:37,183 - pyskl - INFO - |
| top1_acc 0.5822 |
| top5_acc 0.8810 |
| 2025-05-15 18:21:37,183 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:21:37,193 - pyskl - INFO - |
| mean_acc 0.5764 |
| 2025-05-15 18:21:37,196 - pyskl - INFO - Epoch(val) [37][413] top1_acc: 0.5822, top5_acc: 0.8810, mean_class_accuracy: 0.5764 |
| 2025-05-15 18:22:40,819 - pyskl - INFO - Epoch [38][100/1027] lr: 2.141e-02, eta: 12:38:02, time: 0.636, data_time: 0.261, memory: 7959, top1_acc: 0.5456, top5_acc: 0.8163, loss_cls: 6.3279, loss: 6.3279 |
| 2025-05-15 18:23:18,329 - pyskl - INFO - Epoch [38][200/1027] lr: 2.140e-02, eta: 12:37:17, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.7963, loss_cls: 6.5270, loss: 6.5270 |
| 2025-05-15 18:23:56,045 - pyskl - INFO - Epoch [38][300/1027] lr: 2.138e-02, eta: 12:36:34, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.8231, loss_cls: 6.4056, loss: 6.4056 |
| 2025-05-15 18:24:33,712 - pyskl - INFO - Epoch [38][400/1027] lr: 2.136e-02, eta: 12:35:50, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5131, top5_acc: 0.8063, loss_cls: 6.5694, loss: 6.5694 |
| 2025-05-15 18:25:11,058 - pyskl - INFO - Epoch [38][500/1027] lr: 2.134e-02, eta: 12:35:05, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8094, loss_cls: 6.4334, loss: 6.4334 |
| 2025-05-15 18:25:48,445 - pyskl - INFO - Epoch [38][600/1027] lr: 2.132e-02, eta: 12:34:20, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5306, top5_acc: 0.8119, loss_cls: 6.3812, loss: 6.3812 |
| 2025-05-15 18:26:25,748 - pyskl - INFO - Epoch [38][700/1027] lr: 2.131e-02, eta: 12:33:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5212, top5_acc: 0.8137, loss_cls: 6.4142, loss: 6.4142 |
| 2025-05-15 18:27:03,146 - pyskl - INFO - Epoch [38][800/1027] lr: 2.129e-02, eta: 12:32:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5150, top5_acc: 0.8094, loss_cls: 6.4732, loss: 6.4732 |
| 2025-05-15 18:27:40,581 - pyskl - INFO - Epoch [38][900/1027] lr: 2.127e-02, eta: 12:32:06, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5250, top5_acc: 0.8163, loss_cls: 6.3855, loss: 6.3855 |
| 2025-05-15 18:28:18,100 - pyskl - INFO - Epoch [38][1000/1027] lr: 2.125e-02, eta: 12:31:22, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5481, top5_acc: 0.8181, loss_cls: 6.4082, loss: 6.4082 |
| 2025-05-15 18:28:29,315 - pyskl - INFO - Saving checkpoint at 38 epochs |
| 2025-05-15 18:29:07,407 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:29:07,478 - pyskl - INFO - |
| top1_acc 0.6015 |
| top5_acc 0.8863 |
| 2025-05-15 18:29:07,478 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:29:07,486 - pyskl - INFO - |
| mean_acc 0.6036 |
| 2025-05-15 18:29:07,487 - pyskl - INFO - Epoch(val) [38][413] top1_acc: 0.6015, top5_acc: 0.8863, mean_class_accuracy: 0.6036 |
| 2025-05-15 18:30:11,162 - pyskl - INFO - Epoch [39][100/1027] lr: 2.123e-02, eta: 12:31:13, time: 0.637, data_time: 0.262, memory: 7959, top1_acc: 0.5706, top5_acc: 0.8337, loss_cls: 6.2164, loss: 6.2164 |
| 2025-05-15 18:30:48,516 - pyskl - INFO - Epoch [39][200/1027] lr: 2.121e-02, eta: 12:30:29, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5450, top5_acc: 0.8200, loss_cls: 6.3748, loss: 6.3748 |
| 2025-05-15 18:31:26,467 - pyskl - INFO - Epoch [39][300/1027] lr: 2.119e-02, eta: 12:29:46, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5506, top5_acc: 0.8113, loss_cls: 6.3817, loss: 6.3817 |
| 2025-05-15 18:32:04,372 - pyskl - INFO - Epoch [39][400/1027] lr: 2.117e-02, eta: 12:29:03, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5406, top5_acc: 0.8175, loss_cls: 6.3002, loss: 6.3002 |
| 2025-05-15 18:32:42,072 - pyskl - INFO - Epoch [39][500/1027] lr: 2.115e-02, eta: 12:28:19, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5356, top5_acc: 0.8037, loss_cls: 6.4896, loss: 6.4896 |
| 2025-05-15 18:33:19,616 - pyskl - INFO - Epoch [39][600/1027] lr: 2.114e-02, eta: 12:27:35, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5363, top5_acc: 0.8056, loss_cls: 6.4381, loss: 6.4381 |
| 2025-05-15 18:33:57,162 - pyskl - INFO - Epoch [39][700/1027] lr: 2.112e-02, eta: 12:26:51, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5206, top5_acc: 0.8256, loss_cls: 6.4916, loss: 6.4916 |
| 2025-05-15 18:34:34,586 - pyskl - INFO - Epoch [39][800/1027] lr: 2.110e-02, eta: 12:26:07, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8181, loss_cls: 6.3135, loss: 6.3135 |
| 2025-05-15 18:35:12,063 - pyskl - INFO - Epoch [39][900/1027] lr: 2.108e-02, eta: 12:25:23, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5375, top5_acc: 0.8131, loss_cls: 6.4021, loss: 6.4021 |
| 2025-05-15 18:35:49,929 - pyskl - INFO - Epoch [39][1000/1027] lr: 2.106e-02, eta: 12:24:40, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.8019, loss_cls: 6.4950, loss: 6.4950 |
| 2025-05-15 18:36:01,010 - pyskl - INFO - Saving checkpoint at 39 epochs |
| 2025-05-15 18:36:39,435 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:36:39,508 - pyskl - INFO - |
| top1_acc 0.5915 |
| top5_acc 0.8791 |
| 2025-05-15 18:36:39,508 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:36:39,516 - pyskl - INFO - |
| mean_acc 0.5877 |
| 2025-05-15 18:36:39,518 - pyskl - INFO - Epoch(val) [39][413] top1_acc: 0.5915, top5_acc: 0.8791, mean_class_accuracy: 0.5877 |
| 2025-05-15 18:37:42,829 - pyskl - INFO - Epoch [40][100/1027] lr: 2.104e-02, eta: 12:24:28, time: 0.633, data_time: 0.258, memory: 7959, top1_acc: 0.5506, top5_acc: 0.8275, loss_cls: 6.2456, loss: 6.2456 |
| 2025-05-15 18:38:20,220 - pyskl - INFO - Epoch [40][200/1027] lr: 2.102e-02, eta: 12:23:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5613, top5_acc: 0.8156, loss_cls: 6.3929, loss: 6.3929 |
| 2025-05-15 18:38:57,878 - pyskl - INFO - Epoch [40][300/1027] lr: 2.100e-02, eta: 12:23:00, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5356, top5_acc: 0.8125, loss_cls: 6.4739, loss: 6.4739 |
| 2025-05-15 18:39:35,587 - pyskl - INFO - Epoch [40][400/1027] lr: 2.098e-02, eta: 12:22:17, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5250, top5_acc: 0.8063, loss_cls: 6.4624, loss: 6.4624 |
| 2025-05-15 18:40:13,029 - pyskl - INFO - Epoch [40][500/1027] lr: 2.096e-02, eta: 12:21:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5425, top5_acc: 0.8294, loss_cls: 6.2614, loss: 6.2614 |
| 2025-05-15 18:40:50,390 - pyskl - INFO - Epoch [40][600/1027] lr: 2.094e-02, eta: 12:20:49, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.8087, loss_cls: 6.3346, loss: 6.3346 |
| 2025-05-15 18:41:27,750 - pyskl - INFO - Epoch [40][700/1027] lr: 2.093e-02, eta: 12:20:04, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5288, top5_acc: 0.8137, loss_cls: 6.3744, loss: 6.3744 |
| 2025-05-15 18:42:05,158 - pyskl - INFO - Epoch [40][800/1027] lr: 2.091e-02, eta: 12:19:20, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5437, top5_acc: 0.8156, loss_cls: 6.3681, loss: 6.3681 |
| 2025-05-15 18:42:42,890 - pyskl - INFO - Epoch [40][900/1027] lr: 2.089e-02, eta: 12:18:37, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5337, top5_acc: 0.8181, loss_cls: 6.4644, loss: 6.4644 |
| 2025-05-15 18:43:20,554 - pyskl - INFO - Epoch [40][1000/1027] lr: 2.087e-02, eta: 12:17:54, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5288, top5_acc: 0.8181, loss_cls: 6.4351, loss: 6.4351 |
| 2025-05-15 18:43:31,588 - pyskl - INFO - Saving checkpoint at 40 epochs |
| 2025-05-15 18:44:10,276 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:44:10,350 - pyskl - INFO - |
| top1_acc 0.5972 |
| top5_acc 0.8863 |
| 2025-05-15 18:44:10,351 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:44:10,359 - pyskl - INFO - |
| mean_acc 0.5980 |
| 2025-05-15 18:44:10,361 - pyskl - INFO - Epoch(val) [40][413] top1_acc: 0.5972, top5_acc: 0.8863, mean_class_accuracy: 0.5980 |
| 2025-05-15 18:45:15,075 - pyskl - INFO - Epoch [41][100/1027] lr: 2.085e-02, eta: 12:17:45, time: 0.647, data_time: 0.270, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8275, loss_cls: 6.2148, loss: 6.2148 |
| 2025-05-15 18:45:52,530 - pyskl - INFO - Epoch [41][200/1027] lr: 2.083e-02, eta: 12:17:01, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8225, loss_cls: 6.3650, loss: 6.3650 |
| 2025-05-15 18:46:30,373 - pyskl - INFO - Epoch [41][300/1027] lr: 2.081e-02, eta: 12:16:18, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5400, top5_acc: 0.8163, loss_cls: 6.4228, loss: 6.4228 |
| 2025-05-15 18:47:08,090 - pyskl - INFO - Epoch [41][400/1027] lr: 2.079e-02, eta: 12:15:34, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5513, top5_acc: 0.8206, loss_cls: 6.3067, loss: 6.3067 |
| 2025-05-15 18:47:45,465 - pyskl - INFO - Epoch [41][500/1027] lr: 2.077e-02, eta: 12:14:50, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8100, loss_cls: 6.3708, loss: 6.3708 |
| 2025-05-15 18:48:23,060 - pyskl - INFO - Epoch [41][600/1027] lr: 2.075e-02, eta: 12:14:07, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.8137, loss_cls: 6.3444, loss: 6.3444 |
| 2025-05-15 18:49:00,489 - pyskl - INFO - Epoch [41][700/1027] lr: 2.073e-02, eta: 12:13:23, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5312, top5_acc: 0.8187, loss_cls: 6.3557, loss: 6.3557 |
| 2025-05-15 18:49:37,898 - pyskl - INFO - Epoch [41][800/1027] lr: 2.071e-02, eta: 12:12:39, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5506, top5_acc: 0.8113, loss_cls: 6.4615, loss: 6.4615 |
| 2025-05-15 18:50:15,351 - pyskl - INFO - Epoch [41][900/1027] lr: 2.069e-02, eta: 12:11:55, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5337, top5_acc: 0.7994, loss_cls: 6.5307, loss: 6.5307 |
| 2025-05-15 18:50:53,150 - pyskl - INFO - Epoch [41][1000/1027] lr: 2.067e-02, eta: 12:11:12, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5469, top5_acc: 0.8281, loss_cls: 6.4008, loss: 6.4008 |
| 2025-05-15 18:51:04,437 - pyskl - INFO - Saving checkpoint at 41 epochs |
| 2025-05-15 18:51:43,022 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:51:43,096 - pyskl - INFO - |
| top1_acc 0.6072 |
| top5_acc 0.8918 |
| 2025-05-15 18:51:43,096 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:51:43,106 - pyskl - INFO - |
| mean_acc 0.6010 |
| 2025-05-15 18:51:43,108 - pyskl - INFO - Epoch(val) [41][413] top1_acc: 0.6072, top5_acc: 0.8918, mean_class_accuracy: 0.6010 |
| 2025-05-15 18:52:46,861 - pyskl - INFO - Epoch [42][100/1027] lr: 2.065e-02, eta: 12:10:59, time: 0.637, data_time: 0.261, memory: 7959, top1_acc: 0.5644, top5_acc: 0.8363, loss_cls: 6.2441, loss: 6.2441 |
| 2025-05-15 18:53:24,302 - pyskl - INFO - Epoch [42][200/1027] lr: 2.063e-02, eta: 12:10:16, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5500, top5_acc: 0.8163, loss_cls: 6.2926, loss: 6.2926 |
| 2025-05-15 18:54:01,968 - pyskl - INFO - Epoch [42][300/1027] lr: 2.061e-02, eta: 12:09:32, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5269, top5_acc: 0.8263, loss_cls: 6.3519, loss: 6.3519 |
| 2025-05-15 18:54:39,492 - pyskl - INFO - Epoch [42][400/1027] lr: 2.059e-02, eta: 12:08:49, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5681, top5_acc: 0.8325, loss_cls: 6.2057, loss: 6.2057 |
| 2025-05-15 18:55:16,865 - pyskl - INFO - Epoch [42][500/1027] lr: 2.057e-02, eta: 12:08:05, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8131, loss_cls: 6.2737, loss: 6.2737 |
| 2025-05-15 18:55:54,365 - pyskl - INFO - Epoch [42][600/1027] lr: 2.055e-02, eta: 12:07:21, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5406, top5_acc: 0.8169, loss_cls: 6.3197, loss: 6.3197 |
| 2025-05-15 18:56:31,916 - pyskl - INFO - Epoch [42][700/1027] lr: 2.053e-02, eta: 12:06:38, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.8056, loss_cls: 6.3994, loss: 6.3994 |
| 2025-05-15 18:57:09,558 - pyskl - INFO - Epoch [42][800/1027] lr: 2.051e-02, eta: 12:05:54, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.8244, loss_cls: 6.3100, loss: 6.3100 |
| 2025-05-15 18:57:47,122 - pyskl - INFO - Epoch [42][900/1027] lr: 2.049e-02, eta: 12:05:11, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.8063, loss_cls: 6.4175, loss: 6.4175 |
| 2025-05-15 18:58:24,814 - pyskl - INFO - Epoch [42][1000/1027] lr: 2.047e-02, eta: 12:04:28, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5337, top5_acc: 0.8119, loss_cls: 6.4662, loss: 6.4662 |
| 2025-05-15 18:58:35,758 - pyskl - INFO - Saving checkpoint at 42 epochs |
| 2025-05-15 18:59:14,327 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:59:14,400 - pyskl - INFO - |
| top1_acc 0.5974 |
| top5_acc 0.8903 |
| 2025-05-15 18:59:14,400 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:59:14,409 - pyskl - INFO - |
| mean_acc 0.5976 |
| 2025-05-15 18:59:14,411 - pyskl - INFO - Epoch(val) [42][413] top1_acc: 0.5974, top5_acc: 0.8903, mean_class_accuracy: 0.5976 |
| 2025-05-15 19:00:18,108 - pyskl - INFO - Epoch [43][100/1027] lr: 2.045e-02, eta: 12:04:14, time: 0.637, data_time: 0.261, memory: 7959, top1_acc: 0.5637, top5_acc: 0.8175, loss_cls: 6.2856, loss: 6.2856 |
| 2025-05-15 19:00:55,623 - pyskl - INFO - Epoch [43][200/1027] lr: 2.043e-02, eta: 12:03:30, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8287, loss_cls: 6.2623, loss: 6.2623 |
| 2025-05-15 19:01:33,600 - pyskl - INFO - Epoch [43][300/1027] lr: 2.041e-02, eta: 12:02:48, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5594, top5_acc: 0.8269, loss_cls: 6.3322, loss: 6.3322 |
| 2025-05-15 19:02:11,369 - pyskl - INFO - Epoch [43][400/1027] lr: 2.039e-02, eta: 12:02:05, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5625, top5_acc: 0.8356, loss_cls: 6.2561, loss: 6.2561 |
| 2025-05-15 19:02:48,835 - pyskl - INFO - Epoch [43][500/1027] lr: 2.037e-02, eta: 12:01:21, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5400, top5_acc: 0.8163, loss_cls: 6.3392, loss: 6.3392 |
| 2025-05-15 19:03:26,235 - pyskl - INFO - Epoch [43][600/1027] lr: 2.035e-02, eta: 12:00:38, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5437, top5_acc: 0.8187, loss_cls: 6.3947, loss: 6.3947 |
| 2025-05-15 19:04:03,695 - pyskl - INFO - Epoch [43][700/1027] lr: 2.033e-02, eta: 11:59:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5450, top5_acc: 0.8213, loss_cls: 6.3237, loss: 6.3237 |
| 2025-05-15 19:04:41,291 - pyskl - INFO - Epoch [43][800/1027] lr: 2.031e-02, eta: 11:59:11, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8237, loss_cls: 6.2871, loss: 6.2871 |
| 2025-05-15 19:05:19,129 - pyskl - INFO - Epoch [43][900/1027] lr: 2.029e-02, eta: 11:58:28, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5250, top5_acc: 0.8069, loss_cls: 6.3713, loss: 6.3713 |
| 2025-05-15 19:05:57,235 - pyskl - INFO - Epoch [43][1000/1027] lr: 2.027e-02, eta: 11:57:47, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.8331, loss_cls: 6.2138, loss: 6.2138 |
| 2025-05-15 19:06:08,250 - pyskl - INFO - Saving checkpoint at 43 epochs |
| 2025-05-15 19:06:46,175 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:06:46,251 - pyskl - INFO - |
| top1_acc 0.6055 |
| top5_acc 0.8879 |
| 2025-05-15 19:06:46,251 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:06:46,259 - pyskl - INFO - |
| mean_acc 0.6051 |
| 2025-05-15 19:06:46,261 - pyskl - INFO - Epoch(val) [43][413] top1_acc: 0.6055, top5_acc: 0.8879, mean_class_accuracy: 0.6051 |
| 2025-05-15 19:07:49,288 - pyskl - INFO - Epoch [44][100/1027] lr: 2.024e-02, eta: 11:57:30, time: 0.630, data_time: 0.254, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8306, loss_cls: 6.2827, loss: 6.2827 |
| 2025-05-15 19:08:26,818 - pyskl - INFO - Epoch [44][200/1027] lr: 2.022e-02, eta: 11:56:46, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8531, loss_cls: 6.1648, loss: 6.1648 |
| 2025-05-15 19:09:04,394 - pyskl - INFO - Epoch [44][300/1027] lr: 2.020e-02, eta: 11:56:03, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5750, top5_acc: 0.8325, loss_cls: 6.1384, loss: 6.1384 |
| 2025-05-15 19:09:42,131 - pyskl - INFO - Epoch [44][400/1027] lr: 2.018e-02, eta: 11:55:20, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.8200, loss_cls: 6.3643, loss: 6.3643 |
| 2025-05-15 19:10:19,992 - pyskl - INFO - Epoch [44][500/1027] lr: 2.016e-02, eta: 11:54:38, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5356, top5_acc: 0.8037, loss_cls: 6.3845, loss: 6.3845 |
| 2025-05-15 19:10:57,642 - pyskl - INFO - Epoch [44][600/1027] lr: 2.014e-02, eta: 11:53:55, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5619, top5_acc: 0.8219, loss_cls: 6.3486, loss: 6.3486 |
| 2025-05-15 19:11:35,024 - pyskl - INFO - Epoch [44][700/1027] lr: 2.012e-02, eta: 11:53:11, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5344, top5_acc: 0.8250, loss_cls: 6.2609, loss: 6.2609 |
| 2025-05-15 19:12:12,380 - pyskl - INFO - Epoch [44][800/1027] lr: 2.010e-02, eta: 11:52:28, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8119, loss_cls: 6.2817, loss: 6.2817 |
| 2025-05-15 19:12:49,807 - pyskl - INFO - Epoch [44][900/1027] lr: 2.008e-02, eta: 11:51:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.8237, loss_cls: 6.2547, loss: 6.2547 |
| 2025-05-15 19:13:27,604 - pyskl - INFO - Epoch [44][1000/1027] lr: 2.006e-02, eta: 11:51:02, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5363, top5_acc: 0.8106, loss_cls: 6.3483, loss: 6.3483 |
| 2025-05-15 19:13:38,568 - pyskl - INFO - Saving checkpoint at 44 epochs |
| 2025-05-15 19:14:16,304 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:14:16,379 - pyskl - INFO - |
| top1_acc 0.5940 |
| top5_acc 0.8859 |
| 2025-05-15 19:14:16,379 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:14:16,387 - pyskl - INFO - |
| mean_acc 0.5970 |
| 2025-05-15 19:14:16,388 - pyskl - INFO - Epoch(val) [44][413] top1_acc: 0.5940, top5_acc: 0.8859, mean_class_accuracy: 0.5970 |
| 2025-05-15 19:15:19,944 - pyskl - INFO - Epoch [45][100/1027] lr: 2.004e-02, eta: 11:50:45, time: 0.636, data_time: 0.260, memory: 7959, top1_acc: 0.5806, top5_acc: 0.8406, loss_cls: 6.2091, loss: 6.2091 |
| 2025-05-15 19:15:57,326 - pyskl - INFO - Epoch [45][200/1027] lr: 2.002e-02, eta: 11:50:01, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8488, loss_cls: 6.1275, loss: 6.1275 |
| 2025-05-15 19:16:34,807 - pyskl - INFO - Epoch [45][300/1027] lr: 2.000e-02, eta: 11:49:18, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5787, top5_acc: 0.8313, loss_cls: 6.2541, loss: 6.2541 |
| 2025-05-15 19:17:12,485 - pyskl - INFO - Epoch [45][400/1027] lr: 1.998e-02, eta: 11:48:35, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8194, loss_cls: 6.3256, loss: 6.3256 |
| 2025-05-15 19:17:49,910 - pyskl - INFO - Epoch [45][500/1027] lr: 1.996e-02, eta: 11:47:52, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8250, loss_cls: 6.2416, loss: 6.2416 |
| 2025-05-15 19:18:27,224 - pyskl - INFO - Epoch [45][600/1027] lr: 1.994e-02, eta: 11:47:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5650, top5_acc: 0.8156, loss_cls: 6.2268, loss: 6.2268 |
| 2025-05-15 19:19:04,478 - pyskl - INFO - Epoch [45][700/1027] lr: 1.991e-02, eta: 11:46:24, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.8150, loss_cls: 6.3658, loss: 6.3658 |
| 2025-05-15 19:19:41,763 - pyskl - INFO - Epoch [45][800/1027] lr: 1.989e-02, eta: 11:45:41, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8200, loss_cls: 6.2430, loss: 6.2430 |
| 2025-05-15 19:20:19,214 - pyskl - INFO - Epoch [45][900/1027] lr: 1.987e-02, eta: 11:44:58, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5500, top5_acc: 0.8194, loss_cls: 6.3761, loss: 6.3761 |
| 2025-05-15 19:20:56,985 - pyskl - INFO - Epoch [45][1000/1027] lr: 1.985e-02, eta: 11:44:15, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8281, loss_cls: 6.1786, loss: 6.1786 |
| 2025-05-15 19:21:08,026 - pyskl - INFO - Saving checkpoint at 45 epochs |
| 2025-05-15 19:21:46,303 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:21:46,375 - pyskl - INFO - |
| top1_acc 0.5798 |
| top5_acc 0.8533 |
| 2025-05-15 19:21:46,375 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:21:46,383 - pyskl - INFO - |
| mean_acc 0.5767 |
| 2025-05-15 19:21:46,385 - pyskl - INFO - Epoch(val) [45][413] top1_acc: 0.5798, top5_acc: 0.8533, mean_class_accuracy: 0.5767 |
| 2025-05-15 19:22:49,896 - pyskl - INFO - Epoch [46][100/1027] lr: 1.983e-02, eta: 11:43:57, time: 0.635, data_time: 0.258, memory: 7959, top1_acc: 0.5944, top5_acc: 0.8488, loss_cls: 6.1753, loss: 6.1753 |
| 2025-05-15 19:23:27,552 - pyskl - INFO - Epoch [46][200/1027] lr: 1.981e-02, eta: 11:43:14, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8194, loss_cls: 6.2691, loss: 6.2691 |
| 2025-05-15 19:24:05,289 - pyskl - INFO - Epoch [46][300/1027] lr: 1.979e-02, eta: 11:42:32, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.8125, loss_cls: 6.3567, loss: 6.3567 |
| 2025-05-15 19:24:42,729 - pyskl - INFO - Epoch [46][400/1027] lr: 1.976e-02, eta: 11:41:49, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5887, top5_acc: 0.8419, loss_cls: 6.1740, loss: 6.1740 |
| 2025-05-15 19:25:20,007 - pyskl - INFO - Epoch [46][500/1027] lr: 1.974e-02, eta: 11:41:05, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5344, top5_acc: 0.8213, loss_cls: 6.4242, loss: 6.4242 |
| 2025-05-15 19:25:57,314 - pyskl - INFO - Epoch [46][600/1027] lr: 1.972e-02, eta: 11:40:22, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8275, loss_cls: 6.3269, loss: 6.3269 |
| 2025-05-15 19:26:34,569 - pyskl - INFO - Epoch [46][700/1027] lr: 1.970e-02, eta: 11:39:38, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5550, top5_acc: 0.8275, loss_cls: 6.2731, loss: 6.2731 |
| 2025-05-15 19:27:11,948 - pyskl - INFO - Epoch [46][800/1027] lr: 1.968e-02, eta: 11:38:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5700, top5_acc: 0.8287, loss_cls: 6.1286, loss: 6.1286 |
| 2025-05-15 19:27:49,304 - pyskl - INFO - Epoch [46][900/1027] lr: 1.966e-02, eta: 11:38:11, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8119, loss_cls: 6.3104, loss: 6.3104 |
| 2025-05-15 19:28:27,178 - pyskl - INFO - Epoch [46][1000/1027] lr: 1.964e-02, eta: 11:37:29, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5556, top5_acc: 0.8150, loss_cls: 6.2236, loss: 6.2236 |
| 2025-05-15 19:28:38,210 - pyskl - INFO - Saving checkpoint at 46 epochs |
| 2025-05-15 19:29:16,504 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:29:16,578 - pyskl - INFO - |
| top1_acc 0.6043 |
| top5_acc 0.8886 |
| 2025-05-15 19:29:16,579 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:29:16,586 - pyskl - INFO - |
| mean_acc 0.6012 |
| 2025-05-15 19:29:16,588 - pyskl - INFO - Epoch(val) [46][413] top1_acc: 0.6043, top5_acc: 0.8886, mean_class_accuracy: 0.6012 |
| 2025-05-15 19:30:19,762 - pyskl - INFO - Epoch [47][100/1027] lr: 1.961e-02, eta: 11:37:10, time: 0.632, data_time: 0.257, memory: 7959, top1_acc: 0.5881, top5_acc: 0.8375, loss_cls: 6.1185, loss: 6.1185 |
| 2025-05-15 19:30:57,191 - pyskl - INFO - Epoch [47][200/1027] lr: 1.959e-02, eta: 11:36:27, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8344, loss_cls: 6.2463, loss: 6.2463 |
| 2025-05-15 19:31:34,957 - pyskl - INFO - Epoch [47][300/1027] lr: 1.957e-02, eta: 11:35:44, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5675, top5_acc: 0.8413, loss_cls: 6.1436, loss: 6.1436 |
| 2025-05-15 19:32:12,690 - pyskl - INFO - Epoch [47][400/1027] lr: 1.955e-02, eta: 11:35:02, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8175, loss_cls: 6.3082, loss: 6.3082 |
| 2025-05-15 19:32:50,265 - pyskl - INFO - Epoch [47][500/1027] lr: 1.953e-02, eta: 11:34:19, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8375, loss_cls: 6.1520, loss: 6.1520 |
| 2025-05-15 19:33:27,816 - pyskl - INFO - Epoch [47][600/1027] lr: 1.951e-02, eta: 11:33:36, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5694, top5_acc: 0.8325, loss_cls: 6.1901, loss: 6.1901 |
| 2025-05-15 19:34:05,219 - pyskl - INFO - Epoch [47][700/1027] lr: 1.949e-02, eta: 11:32:53, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8231, loss_cls: 6.3099, loss: 6.3099 |
| 2025-05-15 19:34:42,669 - pyskl - INFO - Epoch [47][800/1027] lr: 1.947e-02, eta: 11:32:10, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8287, loss_cls: 6.3282, loss: 6.3282 |
| 2025-05-15 19:35:20,211 - pyskl - INFO - Epoch [47][900/1027] lr: 1.944e-02, eta: 11:31:27, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5513, top5_acc: 0.8231, loss_cls: 6.3208, loss: 6.3208 |
| 2025-05-15 19:35:58,323 - pyskl - INFO - Epoch [47][1000/1027] lr: 1.942e-02, eta: 11:30:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5819, top5_acc: 0.8363, loss_cls: 6.1940, loss: 6.1940 |
| 2025-05-15 19:36:09,300 - pyskl - INFO - Saving checkpoint at 47 epochs |
| 2025-05-15 19:36:47,072 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:36:47,144 - pyskl - INFO - |
| top1_acc 0.6055 |
| top5_acc 0.8844 |
| 2025-05-15 19:36:47,144 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:36:47,152 - pyskl - INFO - |
| mean_acc 0.6036 |
| 2025-05-15 19:36:47,154 - pyskl - INFO - Epoch(val) [47][413] top1_acc: 0.6055, top5_acc: 0.8844, mean_class_accuracy: 0.6036 |
| 2025-05-15 19:37:50,060 - pyskl - INFO - Epoch [48][100/1027] lr: 1.940e-02, eta: 11:30:25, time: 0.629, data_time: 0.255, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8375, loss_cls: 6.1536, loss: 6.1536 |
| 2025-05-15 19:38:27,562 - pyskl - INFO - Epoch [48][200/1027] lr: 1.938e-02, eta: 11:29:42, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5781, top5_acc: 0.8512, loss_cls: 6.1426, loss: 6.1426 |
| 2025-05-15 19:39:05,308 - pyskl - INFO - Epoch [48][300/1027] lr: 1.935e-02, eta: 11:28:59, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5713, top5_acc: 0.8219, loss_cls: 6.1828, loss: 6.1828 |
| 2025-05-15 19:39:42,898 - pyskl - INFO - Epoch [48][400/1027] lr: 1.933e-02, eta: 11:28:17, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8387, loss_cls: 6.2585, loss: 6.2585 |
| 2025-05-15 19:40:20,194 - pyskl - INFO - Epoch [48][500/1027] lr: 1.931e-02, eta: 11:27:33, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5594, top5_acc: 0.8231, loss_cls: 6.1568, loss: 6.1568 |
| 2025-05-15 19:40:57,486 - pyskl - INFO - Epoch [48][600/1027] lr: 1.929e-02, eta: 11:26:50, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5694, top5_acc: 0.8450, loss_cls: 6.1244, loss: 6.1244 |
| 2025-05-15 19:41:34,844 - pyskl - INFO - Epoch [48][700/1027] lr: 1.927e-02, eta: 11:26:07, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5594, top5_acc: 0.8087, loss_cls: 6.3005, loss: 6.3005 |
| 2025-05-15 19:42:12,261 - pyskl - INFO - Epoch [48][800/1027] lr: 1.925e-02, eta: 11:25:24, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5513, top5_acc: 0.8181, loss_cls: 6.3954, loss: 6.3954 |
| 2025-05-15 19:42:49,668 - pyskl - INFO - Epoch [48][900/1027] lr: 1.923e-02, eta: 11:24:41, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5387, top5_acc: 0.8406, loss_cls: 6.3130, loss: 6.3130 |
| 2025-05-15 19:43:27,584 - pyskl - INFO - Epoch [48][1000/1027] lr: 1.920e-02, eta: 11:23:59, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5863, top5_acc: 0.8344, loss_cls: 6.1716, loss: 6.1716 |
| 2025-05-15 19:43:38,647 - pyskl - INFO - Saving checkpoint at 48 epochs |
| 2025-05-15 19:44:16,434 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:44:16,506 - pyskl - INFO - |
| top1_acc 0.6195 |
| top5_acc 0.8850 |
| 2025-05-15 19:44:16,506 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:44:16,514 - pyskl - INFO - |
| mean_acc 0.6162 |
| 2025-05-15 19:44:16,586 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_36.pth was removed |
| 2025-05-15 19:44:18,158 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_48.pth. |
| 2025-05-15 19:44:18,159 - pyskl - INFO - Best top1_acc is 0.6195 at 48 epoch. |
| 2025-05-15 19:44:18,163 - pyskl - INFO - Epoch(val) [48][413] top1_acc: 0.6195, top5_acc: 0.8850, mean_class_accuracy: 0.6162 |
| 2025-05-15 19:45:21,550 - pyskl - INFO - Epoch [49][100/1027] lr: 1.918e-02, eta: 11:23:39, time: 0.634, data_time: 0.259, memory: 7959, top1_acc: 0.5981, top5_acc: 0.8519, loss_cls: 6.1176, loss: 6.1176 |
| 2025-05-15 19:45:59,168 - pyskl - INFO - Epoch [49][200/1027] lr: 1.915e-02, eta: 11:22:56, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5900, top5_acc: 0.8494, loss_cls: 6.0555, loss: 6.0555 |
| 2025-05-15 19:46:37,003 - pyskl - INFO - Epoch [49][300/1027] lr: 1.913e-02, eta: 11:22:14, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5600, top5_acc: 0.8275, loss_cls: 6.1167, loss: 6.1167 |
| 2025-05-15 19:47:14,730 - pyskl - INFO - Epoch [49][400/1027] lr: 1.911e-02, eta: 11:21:32, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5694, top5_acc: 0.8325, loss_cls: 6.2702, loss: 6.2702 |
| 2025-05-15 19:47:52,261 - pyskl - INFO - Epoch [49][500/1027] lr: 1.909e-02, eta: 11:20:49, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5769, top5_acc: 0.8450, loss_cls: 6.1182, loss: 6.1182 |
| 2025-05-15 19:48:29,874 - pyskl - INFO - Epoch [49][600/1027] lr: 1.907e-02, eta: 11:20:07, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8231, loss_cls: 6.1807, loss: 6.1807 |
| 2025-05-15 19:49:07,522 - pyskl - INFO - Epoch [49][700/1027] lr: 1.905e-02, eta: 11:19:24, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5425, top5_acc: 0.8213, loss_cls: 6.4056, loss: 6.4056 |
| 2025-05-15 19:49:45,243 - pyskl - INFO - Epoch [49][800/1027] lr: 1.902e-02, eta: 11:18:42, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5713, top5_acc: 0.8325, loss_cls: 6.2301, loss: 6.2301 |
| 2025-05-15 19:50:23,434 - pyskl - INFO - Epoch [49][900/1027] lr: 1.900e-02, eta: 11:18:01, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5619, top5_acc: 0.8313, loss_cls: 6.1751, loss: 6.1751 |
| 2025-05-15 19:51:01,416 - pyskl - INFO - Epoch [49][1000/1027] lr: 1.898e-02, eta: 11:17:19, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5663, top5_acc: 0.8237, loss_cls: 6.2726, loss: 6.2726 |
| 2025-05-15 19:51:12,542 - pyskl - INFO - Saving checkpoint at 49 epochs |
| 2025-05-15 19:51:50,455 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:51:50,527 - pyskl - INFO - |
| top1_acc 0.6296 |
| top5_acc 0.8962 |
| 2025-05-15 19:51:50,528 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:51:50,536 - pyskl - INFO - |
| mean_acc 0.6273 |
| 2025-05-15 19:51:50,595 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_48.pth was removed |
| 2025-05-15 19:51:52,156 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth. |
| 2025-05-15 19:51:52,157 - pyskl - INFO - Best top1_acc is 0.6296 at 49 epoch. |
| 2025-05-15 19:51:52,160 - pyskl - INFO - Epoch(val) [49][413] top1_acc: 0.6296, top5_acc: 0.8962, mean_class_accuracy: 0.6273 |
| 2025-05-15 19:52:55,313 - pyskl - INFO - Epoch [50][100/1027] lr: 1.895e-02, eta: 11:16:57, time: 0.631, data_time: 0.256, memory: 7959, top1_acc: 0.6062, top5_acc: 0.8631, loss_cls: 5.9616, loss: 5.9616 |
| 2025-05-15 19:53:32,972 - pyskl - INFO - Epoch [50][200/1027] lr: 1.893e-02, eta: 11:16:15, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5800, top5_acc: 0.8444, loss_cls: 6.1920, loss: 6.1920 |
| 2025-05-15 19:54:10,975 - pyskl - INFO - Epoch [50][300/1027] lr: 1.891e-02, eta: 11:15:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5837, top5_acc: 0.8275, loss_cls: 6.2223, loss: 6.2223 |
| 2025-05-15 19:54:49,005 - pyskl - INFO - Epoch [50][400/1027] lr: 1.889e-02, eta: 11:14:51, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5925, top5_acc: 0.8375, loss_cls: 6.1082, loss: 6.1082 |
| 2025-05-15 19:55:26,420 - pyskl - INFO - Epoch [50][500/1027] lr: 1.887e-02, eta: 11:14:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5669, top5_acc: 0.8269, loss_cls: 6.1637, loss: 6.1637 |
| 2025-05-15 19:56:03,995 - pyskl - INFO - Epoch [50][600/1027] lr: 1.884e-02, eta: 11:13:26, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5794, top5_acc: 0.8375, loss_cls: 6.1261, loss: 6.1261 |
| 2025-05-15 19:56:41,545 - pyskl - INFO - Epoch [50][700/1027] lr: 1.882e-02, eta: 11:12:44, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5694, top5_acc: 0.8287, loss_cls: 6.1600, loss: 6.1600 |
| 2025-05-15 19:57:19,107 - pyskl - INFO - Epoch [50][800/1027] lr: 1.880e-02, eta: 11:12:01, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5513, top5_acc: 0.8394, loss_cls: 6.2641, loss: 6.2641 |
| 2025-05-15 19:57:56,738 - pyskl - INFO - Epoch [50][900/1027] lr: 1.878e-02, eta: 11:11:19, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5681, top5_acc: 0.8156, loss_cls: 6.3660, loss: 6.3660 |
| 2025-05-15 19:58:34,718 - pyskl - INFO - Epoch [50][1000/1027] lr: 1.876e-02, eta: 11:10:37, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5669, top5_acc: 0.8431, loss_cls: 6.1927, loss: 6.1927 |
| 2025-05-15 19:58:45,892 - pyskl - INFO - Saving checkpoint at 50 epochs |
| 2025-05-15 19:59:24,018 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:59:24,096 - pyskl - INFO - |
| top1_acc 0.6083 |
| top5_acc 0.8873 |
| 2025-05-15 19:59:24,096 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:59:24,105 - pyskl - INFO - |
| mean_acc 0.6076 |
| 2025-05-15 19:59:24,107 - pyskl - INFO - Epoch(val) [50][413] top1_acc: 0.6083, top5_acc: 0.8873, mean_class_accuracy: 0.6076 |
| 2025-05-15 20:00:27,502 - pyskl - INFO - Epoch [51][100/1027] lr: 1.873e-02, eta: 11:10:15, time: 0.634, data_time: 0.259, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8675, loss_cls: 5.9502, loss: 5.9502 |
| 2025-05-15 20:01:04,824 - pyskl - INFO - Epoch [51][200/1027] lr: 1.871e-02, eta: 11:09:32, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5756, top5_acc: 0.8525, loss_cls: 6.0820, loss: 6.0820 |
| 2025-05-15 20:01:42,511 - pyskl - INFO - Epoch [51][300/1027] lr: 1.868e-02, eta: 11:08:50, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5919, top5_acc: 0.8588, loss_cls: 5.9993, loss: 5.9993 |
| 2025-05-15 20:02:20,222 - pyskl - INFO - Epoch [51][400/1027] lr: 1.866e-02, eta: 11:08:08, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5719, top5_acc: 0.8387, loss_cls: 6.1693, loss: 6.1693 |
| 2025-05-15 20:02:57,527 - pyskl - INFO - Epoch [51][500/1027] lr: 1.864e-02, eta: 11:07:25, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5544, top5_acc: 0.8256, loss_cls: 6.3341, loss: 6.3341 |
| 2025-05-15 20:03:34,845 - pyskl - INFO - Epoch [51][600/1027] lr: 1.862e-02, eta: 11:06:42, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5556, top5_acc: 0.8206, loss_cls: 6.1124, loss: 6.1124 |
| 2025-05-15 20:04:12,068 - pyskl - INFO - Epoch [51][700/1027] lr: 1.860e-02, eta: 11:05:59, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5625, top5_acc: 0.8356, loss_cls: 6.1343, loss: 6.1343 |
| 2025-05-15 20:04:49,309 - pyskl - INFO - Epoch [51][800/1027] lr: 1.857e-02, eta: 11:05:16, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8300, loss_cls: 6.1676, loss: 6.1676 |
| 2025-05-15 20:05:26,741 - pyskl - INFO - Epoch [51][900/1027] lr: 1.855e-02, eta: 11:04:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5787, top5_acc: 0.8306, loss_cls: 6.1797, loss: 6.1797 |
| 2025-05-15 20:06:04,716 - pyskl - INFO - Epoch [51][1000/1027] lr: 1.853e-02, eta: 11:03:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5800, top5_acc: 0.8375, loss_cls: 6.1530, loss: 6.1530 |
| 2025-05-15 20:06:15,814 - pyskl - INFO - Saving checkpoint at 51 epochs |
| 2025-05-15 20:06:53,398 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:06:53,469 - pyskl - INFO - |
| top1_acc 0.6304 |
| top5_acc 0.8929 |
| 2025-05-15 20:06:53,469 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:06:53,477 - pyskl - INFO - |
| mean_acc 0.6343 |
| 2025-05-15 20:06:53,536 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_49.pth was removed |
| 2025-05-15 20:06:55,073 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_51.pth. |
| 2025-05-15 20:06:55,075 - pyskl - INFO - Best top1_acc is 0.6304 at 51 epoch. |
| 2025-05-15 20:06:55,078 - pyskl - INFO - Epoch(val) [51][413] top1_acc: 0.6304, top5_acc: 0.8929, mean_class_accuracy: 0.6343 |
| 2025-05-15 20:07:58,240 - pyskl - INFO - Epoch [52][100/1027] lr: 1.850e-02, eta: 11:03:28, time: 0.632, data_time: 0.256, memory: 7959, top1_acc: 0.5919, top5_acc: 0.8481, loss_cls: 6.0199, loss: 6.0199 |
| 2025-05-15 20:08:35,864 - pyskl - INFO - Epoch [52][200/1027] lr: 1.848e-02, eta: 11:02:46, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5938, top5_acc: 0.8494, loss_cls: 6.0464, loss: 6.0464 |
| 2025-05-15 20:09:13,690 - pyskl - INFO - Epoch [52][300/1027] lr: 1.846e-02, eta: 11:02:04, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6081, top5_acc: 0.8656, loss_cls: 6.0731, loss: 6.0731 |
| 2025-05-15 20:09:50,634 - pyskl - INFO - Epoch [52][400/1027] lr: 1.843e-02, eta: 11:01:21, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.5956, top5_acc: 0.8506, loss_cls: 6.0335, loss: 6.0335 |
| 2025-05-15 20:10:27,365 - pyskl - INFO - Epoch [52][500/1027] lr: 1.841e-02, eta: 11:00:37, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.5837, top5_acc: 0.8425, loss_cls: 6.0954, loss: 6.0954 |
| 2025-05-15 20:11:04,123 - pyskl - INFO - Epoch [52][600/1027] lr: 1.839e-02, eta: 10:59:53, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.5625, top5_acc: 0.8375, loss_cls: 6.0782, loss: 6.0782 |
| 2025-05-15 20:11:40,917 - pyskl - INFO - Epoch [52][700/1027] lr: 1.837e-02, eta: 10:59:09, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8206, loss_cls: 6.2028, loss: 6.2028 |
| 2025-05-15 20:12:18,147 - pyskl - INFO - Epoch [52][800/1027] lr: 1.834e-02, eta: 10:58:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5513, top5_acc: 0.8281, loss_cls: 6.1761, loss: 6.1761 |
| 2025-05-15 20:12:55,427 - pyskl - INFO - Epoch [52][900/1027] lr: 1.832e-02, eta: 10:57:44, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5581, top5_acc: 0.8194, loss_cls: 6.2942, loss: 6.2942 |
| 2025-05-15 20:13:33,363 - pyskl - INFO - Epoch [52][1000/1027] lr: 1.830e-02, eta: 10:57:02, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5581, top5_acc: 0.8294, loss_cls: 6.1936, loss: 6.1936 |
| 2025-05-15 20:13:44,385 - pyskl - INFO - Saving checkpoint at 52 epochs |
| 2025-05-15 20:14:21,845 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:14:21,928 - pyskl - INFO - |
| top1_acc 0.6242 |
| top5_acc 0.8960 |
| 2025-05-15 20:14:21,928 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:14:21,939 - pyskl - INFO - |
| mean_acc 0.6217 |
| 2025-05-15 20:14:21,941 - pyskl - INFO - Epoch(val) [52][413] top1_acc: 0.6242, top5_acc: 0.8960, mean_class_accuracy: 0.6217 |
| 2025-05-15 20:15:24,696 - pyskl - INFO - Epoch [53][100/1027] lr: 1.827e-02, eta: 10:56:37, time: 0.627, data_time: 0.254, memory: 7959, top1_acc: 0.5981, top5_acc: 0.8512, loss_cls: 6.0145, loss: 6.0145 |
| 2025-05-15 20:16:02,167 - pyskl - INFO - Epoch [53][200/1027] lr: 1.825e-02, eta: 10:55:55, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6044, top5_acc: 0.8400, loss_cls: 6.1242, loss: 6.1242 |
| 2025-05-15 20:16:40,004 - pyskl - INFO - Epoch [53][300/1027] lr: 1.822e-02, eta: 10:55:13, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5887, top5_acc: 0.8431, loss_cls: 6.1038, loss: 6.1038 |
| 2025-05-15 20:17:17,681 - pyskl - INFO - Epoch [53][400/1027] lr: 1.820e-02, eta: 10:54:31, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5756, top5_acc: 0.8281, loss_cls: 6.2579, loss: 6.2579 |
| 2025-05-15 20:17:55,060 - pyskl - INFO - Epoch [53][500/1027] lr: 1.818e-02, eta: 10:53:48, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8469, loss_cls: 6.0737, loss: 6.0737 |
| 2025-05-15 20:18:32,358 - pyskl - INFO - Epoch [53][600/1027] lr: 1.816e-02, eta: 10:53:06, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5925, top5_acc: 0.8444, loss_cls: 6.0719, loss: 6.0719 |
| 2025-05-15 20:19:09,651 - pyskl - INFO - Epoch [53][700/1027] lr: 1.813e-02, eta: 10:52:23, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5831, top5_acc: 0.8438, loss_cls: 6.0560, loss: 6.0560 |
| 2025-05-15 20:19:47,034 - pyskl - INFO - Epoch [53][800/1027] lr: 1.811e-02, eta: 10:51:41, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8294, loss_cls: 6.2513, loss: 6.2513 |
| 2025-05-15 20:20:24,593 - pyskl - INFO - Epoch [53][900/1027] lr: 1.809e-02, eta: 10:50:59, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5744, top5_acc: 0.8219, loss_cls: 6.1358, loss: 6.1358 |
| 2025-05-15 20:21:02,731 - pyskl - INFO - Epoch [53][1000/1027] lr: 1.806e-02, eta: 10:50:17, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5919, top5_acc: 0.8481, loss_cls: 6.0735, loss: 6.0735 |
| 2025-05-15 20:21:14,092 - pyskl - INFO - Saving checkpoint at 53 epochs |
| 2025-05-15 20:21:51,715 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:21:51,787 - pyskl - INFO - |
| top1_acc 0.6072 |
| top5_acc 0.8851 |
| 2025-05-15 20:21:51,787 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:21:51,795 - pyskl - INFO - |
| mean_acc 0.6060 |
| 2025-05-15 20:21:51,797 - pyskl - INFO - Epoch(val) [53][413] top1_acc: 0.6072, top5_acc: 0.8851, mean_class_accuracy: 0.6060 |
| 2025-05-15 20:22:54,619 - pyskl - INFO - Epoch [54][100/1027] lr: 1.804e-02, eta: 10:49:52, time: 0.628, data_time: 0.254, memory: 7959, top1_acc: 0.6019, top5_acc: 0.8531, loss_cls: 5.9197, loss: 5.9197 |
| 2025-05-15 20:23:32,080 - pyskl - INFO - Epoch [54][200/1027] lr: 1.801e-02, eta: 10:49:09, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5906, top5_acc: 0.8575, loss_cls: 5.9143, loss: 5.9143 |
| 2025-05-15 20:24:09,695 - pyskl - INFO - Epoch [54][300/1027] lr: 1.799e-02, eta: 10:48:27, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8500, loss_cls: 6.1137, loss: 6.1137 |
| 2025-05-15 20:24:47,563 - pyskl - INFO - Epoch [54][400/1027] lr: 1.797e-02, eta: 10:47:46, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8450, loss_cls: 6.1320, loss: 6.1320 |
| 2025-05-15 20:25:24,971 - pyskl - INFO - Epoch [54][500/1027] lr: 1.794e-02, eta: 10:47:03, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5787, top5_acc: 0.8469, loss_cls: 6.0597, loss: 6.0597 |
| 2025-05-15 20:26:02,322 - pyskl - INFO - Epoch [54][600/1027] lr: 1.792e-02, eta: 10:46:21, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5794, top5_acc: 0.8263, loss_cls: 6.0771, loss: 6.0771 |
| 2025-05-15 20:26:39,675 - pyskl - INFO - Epoch [54][700/1027] lr: 1.790e-02, eta: 10:45:39, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5962, top5_acc: 0.8506, loss_cls: 5.9474, loss: 5.9474 |
| 2025-05-15 20:27:16,971 - pyskl - INFO - Epoch [54][800/1027] lr: 1.787e-02, eta: 10:44:56, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8375, loss_cls: 6.1428, loss: 6.1428 |
| 2025-05-15 20:27:54,412 - pyskl - INFO - Epoch [54][900/1027] lr: 1.785e-02, eta: 10:44:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8306, loss_cls: 6.1475, loss: 6.1475 |
| 2025-05-15 20:28:32,366 - pyskl - INFO - Epoch [54][1000/1027] lr: 1.783e-02, eta: 10:43:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5725, top5_acc: 0.8469, loss_cls: 6.1867, loss: 6.1867 |
| 2025-05-15 20:28:43,556 - pyskl - INFO - Saving checkpoint at 54 epochs |
| 2025-05-15 20:29:21,016 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:29:21,087 - pyskl - INFO - |
| top1_acc 0.6306 |
| top5_acc 0.8945 |
| 2025-05-15 20:29:21,088 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:29:21,095 - pyskl - INFO - |
| mean_acc 0.6281 |
| 2025-05-15 20:29:21,154 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_51.pth was removed |
| 2025-05-15 20:29:22,685 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_54.pth. |
| 2025-05-15 20:29:22,686 - pyskl - INFO - Best top1_acc is 0.6306 at 54 epoch. |
| 2025-05-15 20:29:22,689 - pyskl - INFO - Epoch(val) [54][413] top1_acc: 0.6306, top5_acc: 0.8945, mean_class_accuracy: 0.6281 |
| 2025-05-15 20:30:25,332 - pyskl - INFO - Epoch [55][100/1027] lr: 1.780e-02, eta: 10:43:06, time: 0.626, data_time: 0.252, memory: 7959, top1_acc: 0.6106, top5_acc: 0.8544, loss_cls: 5.9295, loss: 5.9295 |
| 2025-05-15 20:31:03,028 - pyskl - INFO - Epoch [55][200/1027] lr: 1.778e-02, eta: 10:42:24, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6088, top5_acc: 0.8556, loss_cls: 5.9154, loss: 5.9154 |
| 2025-05-15 20:31:40,850 - pyskl - INFO - Epoch [55][300/1027] lr: 1.775e-02, eta: 10:41:42, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6112, top5_acc: 0.8644, loss_cls: 5.9761, loss: 5.9761 |
| 2025-05-15 20:32:18,385 - pyskl - INFO - Epoch [55][400/1027] lr: 1.773e-02, eta: 10:41:00, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5719, top5_acc: 0.8438, loss_cls: 6.1173, loss: 6.1173 |
| 2025-05-15 20:32:55,795 - pyskl - INFO - Epoch [55][500/1027] lr: 1.771e-02, eta: 10:40:18, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5756, top5_acc: 0.8313, loss_cls: 6.1839, loss: 6.1839 |
| 2025-05-15 20:33:33,211 - pyskl - INFO - Epoch [55][600/1027] lr: 1.768e-02, eta: 10:39:36, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5794, top5_acc: 0.8394, loss_cls: 6.0703, loss: 6.0703 |
| 2025-05-15 20:34:10,415 - pyskl - INFO - Epoch [55][700/1027] lr: 1.766e-02, eta: 10:38:53, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5925, top5_acc: 0.8431, loss_cls: 6.1177, loss: 6.1177 |
| 2025-05-15 20:34:47,619 - pyskl - INFO - Epoch [55][800/1027] lr: 1.764e-02, eta: 10:38:11, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5863, top5_acc: 0.8431, loss_cls: 6.0882, loss: 6.0882 |
| 2025-05-15 20:35:25,020 - pyskl - INFO - Epoch [55][900/1027] lr: 1.761e-02, eta: 10:37:28, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8512, loss_cls: 5.9089, loss: 5.9089 |
| 2025-05-15 20:36:02,327 - pyskl - INFO - Epoch [55][1000/1027] lr: 1.759e-02, eta: 10:36:46, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5819, top5_acc: 0.8400, loss_cls: 6.0959, loss: 6.0959 |
| 2025-05-15 20:36:13,560 - pyskl - INFO - Saving checkpoint at 55 epochs |
| 2025-05-15 20:36:51,138 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:36:51,208 - pyskl - INFO - |
| top1_acc 0.6399 |
| top5_acc 0.9120 |
| 2025-05-15 20:36:51,208 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:36:51,216 - pyskl - INFO - |
| mean_acc 0.6411 |
| 2025-05-15 20:36:51,272 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_54.pth was removed |
| 2025-05-15 20:36:52,778 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_55.pth. |
| 2025-05-15 20:36:52,780 - pyskl - INFO - Best top1_acc is 0.6399 at 55 epoch. |
| 2025-05-15 20:36:52,783 - pyskl - INFO - Epoch(val) [55][413] top1_acc: 0.6399, top5_acc: 0.9120, mean_class_accuracy: 0.6411 |
| 2025-05-15 20:37:55,080 - pyskl - INFO - Epoch [56][100/1027] lr: 1.756e-02, eta: 10:36:18, time: 0.623, data_time: 0.250, memory: 7959, top1_acc: 0.6300, top5_acc: 0.8631, loss_cls: 5.8599, loss: 5.8599 |
| 2025-05-15 20:38:32,377 - pyskl - INFO - Epoch [56][200/1027] lr: 1.754e-02, eta: 10:35:36, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6144, top5_acc: 0.8650, loss_cls: 5.8686, loss: 5.8686 |
| 2025-05-15 20:39:10,268 - pyskl - INFO - Epoch [56][300/1027] lr: 1.751e-02, eta: 10:34:54, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5975, top5_acc: 0.8475, loss_cls: 6.0275, loss: 6.0275 |
| 2025-05-15 20:39:48,103 - pyskl - INFO - Epoch [56][400/1027] lr: 1.749e-02, eta: 10:34:13, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5931, top5_acc: 0.8556, loss_cls: 5.9479, loss: 5.9479 |
| 2025-05-15 20:40:25,712 - pyskl - INFO - Epoch [56][500/1027] lr: 1.747e-02, eta: 10:33:31, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5719, top5_acc: 0.8381, loss_cls: 6.1244, loss: 6.1244 |
| 2025-05-15 20:41:03,058 - pyskl - INFO - Epoch [56][600/1027] lr: 1.744e-02, eta: 10:32:49, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5637, top5_acc: 0.8300, loss_cls: 6.2514, loss: 6.2514 |
| 2025-05-15 20:41:40,506 - pyskl - INFO - Epoch [56][700/1027] lr: 1.742e-02, eta: 10:32:07, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5756, top5_acc: 0.8562, loss_cls: 6.0112, loss: 6.0112 |
| 2025-05-15 20:42:17,969 - pyskl - INFO - Epoch [56][800/1027] lr: 1.740e-02, eta: 10:31:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5969, top5_acc: 0.8356, loss_cls: 6.0743, loss: 6.0743 |
| 2025-05-15 20:42:55,402 - pyskl - INFO - Epoch [56][900/1027] lr: 1.737e-02, eta: 10:30:43, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5756, top5_acc: 0.8431, loss_cls: 6.0636, loss: 6.0636 |
| 2025-05-15 20:43:33,352 - pyskl - INFO - Epoch [56][1000/1027] lr: 1.735e-02, eta: 10:30:02, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5894, top5_acc: 0.8494, loss_cls: 5.9750, loss: 5.9750 |
| 2025-05-15 20:43:44,415 - pyskl - INFO - Saving checkpoint at 56 epochs |
| 2025-05-15 20:44:21,690 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:44:21,762 - pyskl - INFO - |
| top1_acc 0.6127 |
| top5_acc 0.8885 |
| 2025-05-15 20:44:21,763 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:44:21,771 - pyskl - INFO - |
| mean_acc 0.6076 |
| 2025-05-15 20:44:21,772 - pyskl - INFO - Epoch(val) [56][413] top1_acc: 0.6127, top5_acc: 0.8885, mean_class_accuracy: 0.6076 |
| 2025-05-15 20:45:24,207 - pyskl - INFO - Epoch [57][100/1027] lr: 1.732e-02, eta: 10:29:33, time: 0.624, data_time: 0.251, memory: 7959, top1_acc: 0.6206, top5_acc: 0.8700, loss_cls: 5.8981, loss: 5.8981 |
| 2025-05-15 20:46:01,625 - pyskl - INFO - Epoch [57][200/1027] lr: 1.730e-02, eta: 10:28:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5913, top5_acc: 0.8519, loss_cls: 5.9534, loss: 5.9534 |
| 2025-05-15 20:46:39,214 - pyskl - INFO - Epoch [57][300/1027] lr: 1.727e-02, eta: 10:28:09, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6100, top5_acc: 0.8575, loss_cls: 6.0040, loss: 6.0040 |
| 2025-05-15 20:47:16,810 - pyskl - INFO - Epoch [57][400/1027] lr: 1.725e-02, eta: 10:27:27, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8512, loss_cls: 6.0738, loss: 6.0738 |
| 2025-05-15 20:47:54,286 - pyskl - INFO - Epoch [57][500/1027] lr: 1.723e-02, eta: 10:26:45, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5863, top5_acc: 0.8556, loss_cls: 6.0431, loss: 6.0431 |
| 2025-05-15 20:48:31,879 - pyskl - INFO - Epoch [57][600/1027] lr: 1.720e-02, eta: 10:26:04, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8562, loss_cls: 5.9637, loss: 5.9637 |
| 2025-05-15 20:49:09,250 - pyskl - INFO - Epoch [57][700/1027] lr: 1.718e-02, eta: 10:25:22, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5856, top5_acc: 0.8381, loss_cls: 6.0238, loss: 6.0238 |
| 2025-05-15 20:49:46,512 - pyskl - INFO - Epoch [57][800/1027] lr: 1.716e-02, eta: 10:24:39, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6238, top5_acc: 0.8556, loss_cls: 5.8894, loss: 5.8894 |
| 2025-05-15 20:50:23,949 - pyskl - INFO - Epoch [57][900/1027] lr: 1.713e-02, eta: 10:23:57, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5750, top5_acc: 0.8444, loss_cls: 6.0269, loss: 6.0269 |
| 2025-05-15 20:51:01,627 - pyskl - INFO - Epoch [57][1000/1027] lr: 1.711e-02, eta: 10:23:16, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5806, top5_acc: 0.8287, loss_cls: 6.1513, loss: 6.1513 |
| 2025-05-15 20:51:12,678 - pyskl - INFO - Saving checkpoint at 57 epochs |
| 2025-05-15 20:51:50,236 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:51:50,309 - pyskl - INFO - |
| top1_acc 0.6062 |
| top5_acc 0.8938 |
| 2025-05-15 20:51:50,309 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:51:50,317 - pyskl - INFO - |
| mean_acc 0.6046 |
| 2025-05-15 20:51:50,319 - pyskl - INFO - Epoch(val) [57][413] top1_acc: 0.6062, top5_acc: 0.8938, mean_class_accuracy: 0.6046 |
| 2025-05-15 20:52:52,861 - pyskl - INFO - Epoch [58][100/1027] lr: 1.708e-02, eta: 10:22:47, time: 0.625, data_time: 0.252, memory: 7959, top1_acc: 0.6225, top5_acc: 0.8744, loss_cls: 5.8243, loss: 5.8243 |
| 2025-05-15 20:53:30,221 - pyskl - INFO - Epoch [58][200/1027] lr: 1.705e-02, eta: 10:22:05, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6006, top5_acc: 0.8656, loss_cls: 5.9478, loss: 5.9478 |
| 2025-05-15 20:54:07,942 - pyskl - INFO - Epoch [58][300/1027] lr: 1.703e-02, eta: 10:21:23, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6219, top5_acc: 0.8700, loss_cls: 5.8798, loss: 5.8798 |
| 2025-05-15 20:54:45,740 - pyskl - INFO - Epoch [58][400/1027] lr: 1.701e-02, eta: 10:20:42, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6206, top5_acc: 0.8681, loss_cls: 5.8323, loss: 5.8323 |
| 2025-05-15 20:55:23,117 - pyskl - INFO - Epoch [58][500/1027] lr: 1.698e-02, eta: 10:20:00, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8488, loss_cls: 5.9950, loss: 5.9950 |
| 2025-05-15 20:56:00,565 - pyskl - INFO - Epoch [58][600/1027] lr: 1.696e-02, eta: 10:19:18, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6056, top5_acc: 0.8444, loss_cls: 6.1308, loss: 6.1308 |
| 2025-05-15 20:56:38,123 - pyskl - INFO - Epoch [58][700/1027] lr: 1.694e-02, eta: 10:18:36, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6044, top5_acc: 0.8475, loss_cls: 5.9716, loss: 5.9716 |
| 2025-05-15 20:57:15,697 - pyskl - INFO - Epoch [58][800/1027] lr: 1.691e-02, eta: 10:17:55, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8319, loss_cls: 6.1685, loss: 6.1685 |
| 2025-05-15 20:57:53,274 - pyskl - INFO - Epoch [58][900/1027] lr: 1.689e-02, eta: 10:17:13, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5713, top5_acc: 0.8400, loss_cls: 6.0558, loss: 6.0558 |
| 2025-05-15 20:58:31,087 - pyskl - INFO - Epoch [58][1000/1027] lr: 1.686e-02, eta: 10:16:32, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5731, top5_acc: 0.8394, loss_cls: 6.1323, loss: 6.1323 |
| 2025-05-15 20:58:42,087 - pyskl - INFO - Saving checkpoint at 58 epochs |
| 2025-05-15 20:59:19,414 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:59:19,487 - pyskl - INFO - |
| top1_acc 0.6263 |
| top5_acc 0.8886 |
| 2025-05-15 20:59:19,487 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:59:19,495 - pyskl - INFO - |
| mean_acc 0.6274 |
| 2025-05-15 20:59:19,497 - pyskl - INFO - Epoch(val) [58][413] top1_acc: 0.6263, top5_acc: 0.8886, mean_class_accuracy: 0.6274 |
| 2025-05-15 21:00:22,050 - pyskl - INFO - Epoch [59][100/1027] lr: 1.683e-02, eta: 10:16:03, time: 0.625, data_time: 0.252, memory: 7959, top1_acc: 0.6188, top5_acc: 0.8725, loss_cls: 5.8617, loss: 5.8617 |
| 2025-05-15 21:00:59,501 - pyskl - INFO - Epoch [59][200/1027] lr: 1.681e-02, eta: 10:15:21, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8450, loss_cls: 5.9684, loss: 5.9684 |
| 2025-05-15 21:01:37,202 - pyskl - INFO - Epoch [59][300/1027] lr: 1.679e-02, eta: 10:14:39, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8450, loss_cls: 5.8639, loss: 5.8639 |
| 2025-05-15 21:02:14,856 - pyskl - INFO - Epoch [59][400/1027] lr: 1.676e-02, eta: 10:13:58, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6094, top5_acc: 0.8450, loss_cls: 5.9637, loss: 5.9637 |
| 2025-05-15 21:02:52,153 - pyskl - INFO - Epoch [59][500/1027] lr: 1.674e-02, eta: 10:13:16, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8488, loss_cls: 5.9917, loss: 5.9917 |
| 2025-05-15 21:03:29,413 - pyskl - INFO - Epoch [59][600/1027] lr: 1.671e-02, eta: 10:12:34, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5969, top5_acc: 0.8644, loss_cls: 5.9319, loss: 5.9319 |
| 2025-05-15 21:04:06,647 - pyskl - INFO - Epoch [59][700/1027] lr: 1.669e-02, eta: 10:11:51, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5944, top5_acc: 0.8519, loss_cls: 5.9243, loss: 5.9243 |
| 2025-05-15 21:04:43,907 - pyskl - INFO - Epoch [59][800/1027] lr: 1.667e-02, eta: 10:11:09, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5863, top5_acc: 0.8413, loss_cls: 6.0524, loss: 6.0524 |
| 2025-05-15 21:05:21,451 - pyskl - INFO - Epoch [59][900/1027] lr: 1.664e-02, eta: 10:10:28, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5875, top5_acc: 0.8494, loss_cls: 6.0191, loss: 6.0191 |
| 2025-05-15 21:05:59,426 - pyskl - INFO - Epoch [59][1000/1027] lr: 1.662e-02, eta: 10:09:47, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5819, top5_acc: 0.8488, loss_cls: 6.0181, loss: 6.0181 |
| 2025-05-15 21:06:10,651 - pyskl - INFO - Saving checkpoint at 59 epochs |
| 2025-05-15 21:06:48,374 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:06:48,447 - pyskl - INFO - |
| top1_acc 0.6266 |
| top5_acc 0.8991 |
| 2025-05-15 21:06:48,447 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:06:48,455 - pyskl - INFO - |
| mean_acc 0.6244 |
| 2025-05-15 21:06:48,457 - pyskl - INFO - Epoch(val) [59][413] top1_acc: 0.6266, top5_acc: 0.8991, mean_class_accuracy: 0.6244 |
| 2025-05-15 21:07:51,318 - pyskl - INFO - Epoch [60][100/1027] lr: 1.659e-02, eta: 10:09:17, time: 0.629, data_time: 0.255, memory: 7959, top1_acc: 0.6288, top5_acc: 0.8706, loss_cls: 5.8023, loss: 5.8023 |
| 2025-05-15 21:08:28,733 - pyskl - INFO - Epoch [60][200/1027] lr: 1.656e-02, eta: 10:08:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6269, top5_acc: 0.8694, loss_cls: 5.8223, loss: 5.8223 |
| 2025-05-15 21:09:06,416 - pyskl - INFO - Epoch [60][300/1027] lr: 1.654e-02, eta: 10:07:54, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5931, top5_acc: 0.8356, loss_cls: 6.0711, loss: 6.0711 |
| 2025-05-15 21:09:44,385 - pyskl - INFO - Epoch [60][400/1027] lr: 1.651e-02, eta: 10:07:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6219, top5_acc: 0.8594, loss_cls: 5.8449, loss: 5.8449 |
| 2025-05-15 21:10:21,957 - pyskl - INFO - Epoch [60][500/1027] lr: 1.649e-02, eta: 10:06:32, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6238, top5_acc: 0.8638, loss_cls: 5.8649, loss: 5.8649 |
| 2025-05-15 21:10:59,495 - pyskl - INFO - Epoch [60][600/1027] lr: 1.647e-02, eta: 10:05:50, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5831, top5_acc: 0.8350, loss_cls: 6.0798, loss: 6.0798 |
| 2025-05-15 21:11:36,982 - pyskl - INFO - Epoch [60][700/1027] lr: 1.644e-02, eta: 10:05:08, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5837, top5_acc: 0.8394, loss_cls: 6.0199, loss: 6.0199 |
| 2025-05-15 21:12:14,412 - pyskl - INFO - Epoch [60][800/1027] lr: 1.642e-02, eta: 10:04:27, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8481, loss_cls: 5.8323, loss: 5.8323 |
| 2025-05-15 21:12:51,816 - pyskl - INFO - Epoch [60][900/1027] lr: 1.639e-02, eta: 10:03:45, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6006, top5_acc: 0.8369, loss_cls: 6.0237, loss: 6.0237 |
| 2025-05-15 21:13:29,840 - pyskl - INFO - Epoch [60][1000/1027] lr: 1.637e-02, eta: 10:03:04, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8606, loss_cls: 5.9645, loss: 5.9645 |
| 2025-05-15 21:13:40,792 - pyskl - INFO - Saving checkpoint at 60 epochs |
| 2025-05-15 21:14:18,328 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:14:18,398 - pyskl - INFO - |
| top1_acc 0.6255 |
| top5_acc 0.8947 |
| 2025-05-15 21:14:18,398 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:14:18,406 - pyskl - INFO - |
| mean_acc 0.6223 |
| 2025-05-15 21:14:18,407 - pyskl - INFO - Epoch(val) [60][413] top1_acc: 0.6255, top5_acc: 0.8947, mean_class_accuracy: 0.6223 |
| 2025-05-15 21:15:20,881 - pyskl - INFO - Epoch [61][100/1027] lr: 1.634e-02, eta: 10:02:33, time: 0.625, data_time: 0.253, memory: 7959, top1_acc: 0.6288, top5_acc: 0.8700, loss_cls: 5.7821, loss: 5.7821 |
| 2025-05-15 21:15:58,147 - pyskl - INFO - Epoch [61][200/1027] lr: 1.631e-02, eta: 10:01:51, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8431, loss_cls: 6.0238, loss: 6.0238 |
| 2025-05-15 21:16:35,692 - pyskl - INFO - Epoch [61][300/1027] lr: 1.629e-02, eta: 10:01:10, time: 0.375, data_time: 0.001, memory: 7959, top1_acc: 0.6012, top5_acc: 0.8619, loss_cls: 5.8999, loss: 5.8999 |
| 2025-05-15 21:17:13,358 - pyskl - INFO - Epoch [61][400/1027] lr: 1.627e-02, eta: 10:00:28, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8494, loss_cls: 5.9570, loss: 5.9570 |
| 2025-05-15 21:17:50,150 - pyskl - INFO - Epoch [61][500/1027] lr: 1.624e-02, eta: 9:59:46, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.6094, top5_acc: 0.8631, loss_cls: 5.8108, loss: 5.8108 |
| 2025-05-15 21:18:26,937 - pyskl - INFO - Epoch [61][600/1027] lr: 1.622e-02, eta: 9:59:03, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.6075, top5_acc: 0.8594, loss_cls: 5.9042, loss: 5.9042 |
| 2025-05-15 21:19:03,729 - pyskl - INFO - Epoch [61][700/1027] lr: 1.619e-02, eta: 9:58:21, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.6238, top5_acc: 0.8550, loss_cls: 5.9019, loss: 5.9019 |
| 2025-05-15 21:19:40,503 - pyskl - INFO - Epoch [61][800/1027] lr: 1.617e-02, eta: 9:57:38, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.6088, top5_acc: 0.8594, loss_cls: 5.8364, loss: 5.8364 |
| 2025-05-15 21:20:17,773 - pyskl - INFO - Epoch [61][900/1027] lr: 1.614e-02, eta: 9:56:56, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6038, top5_acc: 0.8413, loss_cls: 5.9922, loss: 5.9922 |
| 2025-05-15 21:20:55,668 - pyskl - INFO - Epoch [61][1000/1027] lr: 1.612e-02, eta: 9:56:15, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6231, top5_acc: 0.8656, loss_cls: 5.8487, loss: 5.8487 |
| 2025-05-15 21:21:06,630 - pyskl - INFO - Saving checkpoint at 61 epochs |
| 2025-05-15 21:21:44,508 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:21:44,582 - pyskl - INFO - |
| top1_acc 0.6269 |
| top5_acc 0.8985 |
| 2025-05-15 21:21:44,583 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:21:44,591 - pyskl - INFO - |
| mean_acc 0.6276 |
| 2025-05-15 21:21:44,593 - pyskl - INFO - Epoch(val) [61][413] top1_acc: 0.6269, top5_acc: 0.8985, mean_class_accuracy: 0.6276 |
| 2025-05-15 21:22:47,597 - pyskl - INFO - Epoch [62][100/1027] lr: 1.609e-02, eta: 9:55:45, time: 0.630, data_time: 0.255, memory: 7959, top1_acc: 0.6362, top5_acc: 0.8731, loss_cls: 5.7043, loss: 5.7043 |
| 2025-05-15 21:23:25,091 - pyskl - INFO - Epoch [62][200/1027] lr: 1.606e-02, eta: 9:55:03, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6250, top5_acc: 0.8606, loss_cls: 5.6991, loss: 5.6991 |
| 2025-05-15 21:24:02,697 - pyskl - INFO - Epoch [62][300/1027] lr: 1.604e-02, eta: 9:54:22, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6325, top5_acc: 0.8694, loss_cls: 5.7911, loss: 5.7911 |
| 2025-05-15 21:24:40,458 - pyskl - INFO - Epoch [62][400/1027] lr: 1.602e-02, eta: 9:53:41, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6131, top5_acc: 0.8575, loss_cls: 5.9005, loss: 5.9005 |
| 2025-05-15 21:25:17,837 - pyskl - INFO - Epoch [62][500/1027] lr: 1.599e-02, eta: 9:52:59, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6169, top5_acc: 0.8631, loss_cls: 5.8744, loss: 5.8744 |
| 2025-05-15 21:25:55,291 - pyskl - INFO - Epoch [62][600/1027] lr: 1.597e-02, eta: 9:52:18, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6006, top5_acc: 0.8475, loss_cls: 5.9581, loss: 5.9581 |
| 2025-05-15 21:26:32,642 - pyskl - INFO - Epoch [62][700/1027] lr: 1.594e-02, eta: 9:51:36, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5944, top5_acc: 0.8444, loss_cls: 5.9058, loss: 5.9058 |
| 2025-05-15 21:27:10,054 - pyskl - INFO - Epoch [62][800/1027] lr: 1.592e-02, eta: 9:50:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6012, top5_acc: 0.8575, loss_cls: 5.9815, loss: 5.9815 |
| 2025-05-15 21:27:47,585 - pyskl - INFO - Epoch [62][900/1027] lr: 1.589e-02, eta: 9:50:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5962, top5_acc: 0.8375, loss_cls: 6.0353, loss: 6.0353 |
| 2025-05-15 21:28:25,522 - pyskl - INFO - Epoch [62][1000/1027] lr: 1.587e-02, eta: 9:49:32, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5913, top5_acc: 0.8494, loss_cls: 5.9942, loss: 5.9942 |
| 2025-05-15 21:28:36,685 - pyskl - INFO - Saving checkpoint at 62 epochs |
| 2025-05-15 21:29:14,846 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:29:14,919 - pyskl - INFO - |
| top1_acc 0.6171 |
| top5_acc 0.8880 |
| 2025-05-15 21:29:14,919 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:29:14,927 - pyskl - INFO - |
| mean_acc 0.6133 |
| 2025-05-15 21:29:14,929 - pyskl - INFO - Epoch(val) [62][413] top1_acc: 0.6171, top5_acc: 0.8880, mean_class_accuracy: 0.6133 |
| 2025-05-15 21:30:18,101 - pyskl - INFO - Epoch [63][100/1027] lr: 1.584e-02, eta: 9:49:01, time: 0.632, data_time: 0.256, memory: 7959, top1_acc: 0.6181, top5_acc: 0.8694, loss_cls: 5.8734, loss: 5.8734 |
| 2025-05-15 21:30:55,711 - pyskl - INFO - Epoch [63][200/1027] lr: 1.581e-02, eta: 9:48:20, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6350, top5_acc: 0.8669, loss_cls: 5.8470, loss: 5.8470 |
| 2025-05-15 21:31:33,293 - pyskl - INFO - Epoch [63][300/1027] lr: 1.579e-02, eta: 9:47:39, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8694, loss_cls: 5.7015, loss: 5.7015 |
| 2025-05-15 21:32:10,828 - pyskl - INFO - Epoch [63][400/1027] lr: 1.576e-02, eta: 9:46:57, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6456, top5_acc: 0.8806, loss_cls: 5.7399, loss: 5.7399 |
| 2025-05-15 21:32:48,222 - pyskl - INFO - Epoch [63][500/1027] lr: 1.574e-02, eta: 9:46:16, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6188, top5_acc: 0.8675, loss_cls: 5.8888, loss: 5.8888 |
| 2025-05-15 21:33:25,543 - pyskl - INFO - Epoch [63][600/1027] lr: 1.571e-02, eta: 9:45:34, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6338, top5_acc: 0.8544, loss_cls: 5.8721, loss: 5.8721 |
| 2025-05-15 21:34:02,800 - pyskl - INFO - Epoch [63][700/1027] lr: 1.569e-02, eta: 9:44:52, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8556, loss_cls: 5.9544, loss: 5.9544 |
| 2025-05-15 21:34:40,067 - pyskl - INFO - Epoch [63][800/1027] lr: 1.566e-02, eta: 9:44:11, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6031, top5_acc: 0.8594, loss_cls: 5.8473, loss: 5.8473 |
| 2025-05-15 21:35:17,477 - pyskl - INFO - Epoch [63][900/1027] lr: 1.564e-02, eta: 9:43:29, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6250, top5_acc: 0.8438, loss_cls: 5.9171, loss: 5.9171 |
| 2025-05-15 21:35:55,401 - pyskl - INFO - Epoch [63][1000/1027] lr: 1.562e-02, eta: 9:42:48, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8475, loss_cls: 6.0088, loss: 6.0088 |
| 2025-05-15 21:36:06,628 - pyskl - INFO - Saving checkpoint at 63 epochs |
| 2025-05-15 21:36:44,472 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:36:44,544 - pyskl - INFO - |
| top1_acc 0.6004 |
| top5_acc 0.8680 |
| 2025-05-15 21:36:44,545 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:36:44,553 - pyskl - INFO - |
| mean_acc 0.5937 |
| 2025-05-15 21:36:44,555 - pyskl - INFO - Epoch(val) [63][413] top1_acc: 0.6004, top5_acc: 0.8680, mean_class_accuracy: 0.5937 |
| 2025-05-15 21:37:47,805 - pyskl - INFO - Epoch [64][100/1027] lr: 1.558e-02, eta: 9:42:17, time: 0.632, data_time: 0.256, memory: 7959, top1_acc: 0.6562, top5_acc: 0.8788, loss_cls: 5.6392, loss: 5.6392 |
| 2025-05-15 21:38:25,316 - pyskl - INFO - Epoch [64][200/1027] lr: 1.556e-02, eta: 9:41:36, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6156, top5_acc: 0.8675, loss_cls: 5.8905, loss: 5.8905 |
| 2025-05-15 21:39:03,000 - pyskl - INFO - Epoch [64][300/1027] lr: 1.553e-02, eta: 9:40:55, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6181, top5_acc: 0.8681, loss_cls: 5.6568, loss: 5.6568 |
| 2025-05-15 21:39:40,959 - pyskl - INFO - Epoch [64][400/1027] lr: 1.551e-02, eta: 9:40:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6188, top5_acc: 0.8581, loss_cls: 5.9993, loss: 5.9993 |
| 2025-05-15 21:40:18,346 - pyskl - INFO - Epoch [64][500/1027] lr: 1.549e-02, eta: 9:39:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6150, top5_acc: 0.8556, loss_cls: 5.8711, loss: 5.8711 |
| 2025-05-15 21:40:55,633 - pyskl - INFO - Epoch [64][600/1027] lr: 1.546e-02, eta: 9:38:51, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6181, top5_acc: 0.8575, loss_cls: 5.8155, loss: 5.8155 |
| 2025-05-15 21:41:33,043 - pyskl - INFO - Epoch [64][700/1027] lr: 1.544e-02, eta: 9:38:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5906, top5_acc: 0.8644, loss_cls: 5.9723, loss: 5.9723 |
| 2025-05-15 21:42:10,373 - pyskl - INFO - Epoch [64][800/1027] lr: 1.541e-02, eta: 9:37:28, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6088, top5_acc: 0.8538, loss_cls: 5.8791, loss: 5.8791 |
| 2025-05-15 21:42:47,816 - pyskl - INFO - Epoch [64][900/1027] lr: 1.539e-02, eta: 9:36:46, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5981, top5_acc: 0.8531, loss_cls: 5.9635, loss: 5.9635 |
| 2025-05-15 21:43:25,663 - pyskl - INFO - Epoch [64][1000/1027] lr: 1.536e-02, eta: 9:36:05, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6256, top5_acc: 0.8469, loss_cls: 5.9103, loss: 5.9103 |
| 2025-05-15 21:43:36,784 - pyskl - INFO - Saving checkpoint at 64 epochs |
| 2025-05-15 21:44:14,800 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:44:14,876 - pyskl - INFO - |
| top1_acc 0.6378 |
| top5_acc 0.8865 |
| 2025-05-15 21:44:14,877 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:44:14,885 - pyskl - INFO - |
| mean_acc 0.6345 |
| 2025-05-15 21:44:14,887 - pyskl - INFO - Epoch(val) [64][413] top1_acc: 0.6378, top5_acc: 0.8865, mean_class_accuracy: 0.6345 |
| 2025-05-15 21:45:17,879 - pyskl - INFO - Epoch [65][100/1027] lr: 1.533e-02, eta: 9:35:34, time: 0.630, data_time: 0.255, memory: 7959, top1_acc: 0.6506, top5_acc: 0.8788, loss_cls: 5.6693, loss: 5.6693 |
| 2025-05-15 21:45:55,423 - pyskl - INFO - Epoch [65][200/1027] lr: 1.530e-02, eta: 9:34:52, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6212, top5_acc: 0.8650, loss_cls: 5.7148, loss: 5.7148 |
| 2025-05-15 21:46:32,980 - pyskl - INFO - Epoch [65][300/1027] lr: 1.528e-02, eta: 9:34:11, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6181, top5_acc: 0.8781, loss_cls: 5.8012, loss: 5.8012 |
| 2025-05-15 21:47:10,669 - pyskl - INFO - Epoch [65][400/1027] lr: 1.526e-02, eta: 9:33:30, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6044, top5_acc: 0.8569, loss_cls: 5.9898, loss: 5.9898 |
| 2025-05-15 21:47:48,216 - pyskl - INFO - Epoch [65][500/1027] lr: 1.523e-02, eta: 9:32:49, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6262, top5_acc: 0.8731, loss_cls: 5.7377, loss: 5.7377 |
| 2025-05-15 21:48:25,676 - pyskl - INFO - Epoch [65][600/1027] lr: 1.521e-02, eta: 9:32:07, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5975, top5_acc: 0.8681, loss_cls: 5.8246, loss: 5.8246 |
| 2025-05-15 21:49:03,044 - pyskl - INFO - Epoch [65][700/1027] lr: 1.518e-02, eta: 9:31:26, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6212, top5_acc: 0.8644, loss_cls: 5.7736, loss: 5.7736 |
| 2025-05-15 21:49:40,391 - pyskl - INFO - Epoch [65][800/1027] lr: 1.516e-02, eta: 9:30:44, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6294, top5_acc: 0.8606, loss_cls: 5.8413, loss: 5.8413 |
| 2025-05-15 21:50:17,815 - pyskl - INFO - Epoch [65][900/1027] lr: 1.513e-02, eta: 9:30:03, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6006, top5_acc: 0.8525, loss_cls: 5.9801, loss: 5.9801 |
| 2025-05-15 21:50:55,666 - pyskl - INFO - Epoch [65][1000/1027] lr: 1.511e-02, eta: 9:29:22, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6038, top5_acc: 0.8631, loss_cls: 5.8061, loss: 5.8061 |
| 2025-05-15 21:51:06,841 - pyskl - INFO - Saving checkpoint at 65 epochs |
| 2025-05-15 21:51:44,705 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:51:44,779 - pyskl - INFO - |
| top1_acc 0.6248 |
| top5_acc 0.8924 |
| 2025-05-15 21:51:44,779 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:51:44,787 - pyskl - INFO - |
| mean_acc 0.6233 |
| 2025-05-15 21:51:44,789 - pyskl - INFO - Epoch(val) [65][413] top1_acc: 0.6248, top5_acc: 0.8924, mean_class_accuracy: 0.6233 |
| 2025-05-15 21:52:47,632 - pyskl - INFO - Epoch [66][100/1027] lr: 1.507e-02, eta: 9:28:50, time: 0.628, data_time: 0.257, memory: 7959, top1_acc: 0.6656, top5_acc: 0.8719, loss_cls: 5.6434, loss: 5.6434 |
| 2025-05-15 21:53:25,143 - pyskl - INFO - Epoch [66][200/1027] lr: 1.505e-02, eta: 9:28:08, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6381, top5_acc: 0.8662, loss_cls: 5.7617, loss: 5.7617 |
| 2025-05-15 21:54:02,702 - pyskl - INFO - Epoch [66][300/1027] lr: 1.502e-02, eta: 9:27:27, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6350, top5_acc: 0.8631, loss_cls: 5.7803, loss: 5.7803 |
| 2025-05-15 21:54:40,502 - pyskl - INFO - Epoch [66][400/1027] lr: 1.500e-02, eta: 9:26:46, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8594, loss_cls: 5.8018, loss: 5.8018 |
| 2025-05-15 21:55:17,811 - pyskl - INFO - Epoch [66][500/1027] lr: 1.497e-02, eta: 9:26:05, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8794, loss_cls: 5.7490, loss: 5.7490 |
| 2025-05-15 21:55:55,333 - pyskl - INFO - Epoch [66][600/1027] lr: 1.495e-02, eta: 9:25:24, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8650, loss_cls: 5.7858, loss: 5.7858 |
| 2025-05-15 21:56:32,793 - pyskl - INFO - Epoch [66][700/1027] lr: 1.492e-02, eta: 9:24:42, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6162, top5_acc: 0.8612, loss_cls: 5.8271, loss: 5.8271 |
| 2025-05-15 21:57:10,246 - pyskl - INFO - Epoch [66][800/1027] lr: 1.490e-02, eta: 9:24:01, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6081, top5_acc: 0.8650, loss_cls: 5.7743, loss: 5.7743 |
| 2025-05-15 21:57:47,672 - pyskl - INFO - Epoch [66][900/1027] lr: 1.487e-02, eta: 9:23:20, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6169, top5_acc: 0.8550, loss_cls: 5.8826, loss: 5.8826 |
| 2025-05-15 21:58:25,499 - pyskl - INFO - Epoch [66][1000/1027] lr: 1.485e-02, eta: 9:22:39, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5894, top5_acc: 0.8488, loss_cls: 6.0565, loss: 6.0565 |
| 2025-05-15 21:58:36,688 - pyskl - INFO - Saving checkpoint at 66 epochs |
| 2025-05-15 21:59:14,921 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:59:14,994 - pyskl - INFO - |
| top1_acc 0.6607 |
| top5_acc 0.9041 |
| 2025-05-15 21:59:14,994 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:59:15,002 - pyskl - INFO - |
| mean_acc 0.6639 |
| 2025-05-15 21:59:15,057 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_55.pth was removed |
| 2025-05-15 21:59:16,602 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. |
| 2025-05-15 21:59:16,604 - pyskl - INFO - Best top1_acc is 0.6607 at 66 epoch. |
| 2025-05-15 21:59:16,607 - pyskl - INFO - Epoch(val) [66][413] top1_acc: 0.6607, top5_acc: 0.9041, mean_class_accuracy: 0.6639 |
| 2025-05-15 22:00:19,843 - pyskl - INFO - Epoch [67][100/1027] lr: 1.482e-02, eta: 9:22:07, time: 0.632, data_time: 0.256, memory: 7959, top1_acc: 0.6719, top5_acc: 0.8919, loss_cls: 5.5261, loss: 5.5261 |
| 2025-05-15 22:00:57,347 - pyskl - INFO - Epoch [67][200/1027] lr: 1.479e-02, eta: 9:21:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6713, top5_acc: 0.8788, loss_cls: 5.5367, loss: 5.5367 |
| 2025-05-15 22:01:34,963 - pyskl - INFO - Epoch [67][300/1027] lr: 1.477e-02, eta: 9:20:44, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6300, top5_acc: 0.8725, loss_cls: 5.7313, loss: 5.7313 |
| 2025-05-15 22:02:13,008 - pyskl - INFO - Epoch [67][400/1027] lr: 1.474e-02, eta: 9:20:04, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8788, loss_cls: 5.6677, loss: 5.6677 |
| 2025-05-15 22:02:50,405 - pyskl - INFO - Epoch [67][500/1027] lr: 1.472e-02, eta: 9:19:23, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8694, loss_cls: 5.7136, loss: 5.7136 |
| 2025-05-15 22:03:27,721 - pyskl - INFO - Epoch [67][600/1027] lr: 1.469e-02, eta: 9:18:41, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6150, top5_acc: 0.8538, loss_cls: 5.8884, loss: 5.8884 |
| 2025-05-15 22:04:05,097 - pyskl - INFO - Epoch [67][700/1027] lr: 1.467e-02, eta: 9:18:00, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6275, top5_acc: 0.8625, loss_cls: 5.7469, loss: 5.7469 |
| 2025-05-15 22:04:42,403 - pyskl - INFO - Epoch [67][800/1027] lr: 1.464e-02, eta: 9:17:18, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6088, top5_acc: 0.8588, loss_cls: 5.8940, loss: 5.8940 |
| 2025-05-15 22:05:19,989 - pyskl - INFO - Epoch [67][900/1027] lr: 1.462e-02, eta: 9:16:37, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6269, top5_acc: 0.8588, loss_cls: 5.9053, loss: 5.9053 |
| 2025-05-15 22:05:57,875 - pyskl - INFO - Epoch [67][1000/1027] lr: 1.459e-02, eta: 9:15:57, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6381, top5_acc: 0.8688, loss_cls: 5.7766, loss: 5.7766 |
| 2025-05-15 22:06:08,915 - pyskl - INFO - Saving checkpoint at 67 epochs |
| 2025-05-15 22:06:46,856 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:06:46,931 - pyskl - INFO - |
| top1_acc 0.6466 |
| top5_acc 0.9017 |
| 2025-05-15 22:06:46,931 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:06:46,940 - pyskl - INFO - |
| mean_acc 0.6490 |
| 2025-05-15 22:06:46,942 - pyskl - INFO - Epoch(val) [67][413] top1_acc: 0.6466, top5_acc: 0.9017, mean_class_accuracy: 0.6490 |
| 2025-05-15 22:07:50,171 - pyskl - INFO - Epoch [68][100/1027] lr: 1.456e-02, eta: 9:15:24, time: 0.632, data_time: 0.257, memory: 7959, top1_acc: 0.6631, top5_acc: 0.8938, loss_cls: 5.5330, loss: 5.5330 |
| 2025-05-15 22:08:27,591 - pyskl - INFO - Epoch [68][200/1027] lr: 1.453e-02, eta: 9:14:42, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8931, loss_cls: 5.5912, loss: 5.5912 |
| 2025-05-15 22:09:05,116 - pyskl - INFO - Epoch [68][300/1027] lr: 1.451e-02, eta: 9:14:01, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6188, top5_acc: 0.8675, loss_cls: 5.8163, loss: 5.8163 |
| 2025-05-15 22:09:42,776 - pyskl - INFO - Epoch [68][400/1027] lr: 1.448e-02, eta: 9:13:20, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6225, top5_acc: 0.8544, loss_cls: 5.8866, loss: 5.8866 |
| 2025-05-15 22:10:20,091 - pyskl - INFO - Epoch [68][500/1027] lr: 1.446e-02, eta: 9:12:39, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6400, top5_acc: 0.8819, loss_cls: 5.6262, loss: 5.6262 |
| 2025-05-15 22:10:57,419 - pyskl - INFO - Epoch [68][600/1027] lr: 1.443e-02, eta: 9:11:58, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6369, top5_acc: 0.8575, loss_cls: 5.7355, loss: 5.7355 |
| 2025-05-15 22:11:34,734 - pyskl - INFO - Epoch [68][700/1027] lr: 1.441e-02, eta: 9:11:16, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6275, top5_acc: 0.8550, loss_cls: 5.8003, loss: 5.8003 |
| 2025-05-15 22:12:12,014 - pyskl - INFO - Epoch [68][800/1027] lr: 1.438e-02, eta: 9:10:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6200, top5_acc: 0.8712, loss_cls: 5.8170, loss: 5.8170 |
| 2025-05-15 22:12:49,526 - pyskl - INFO - Epoch [68][900/1027] lr: 1.436e-02, eta: 9:09:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6294, top5_acc: 0.8606, loss_cls: 5.8288, loss: 5.8288 |
| 2025-05-15 22:13:27,415 - pyskl - INFO - Epoch [68][1000/1027] lr: 1.433e-02, eta: 9:09:13, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6388, top5_acc: 0.8619, loss_cls: 5.7366, loss: 5.7366 |
| 2025-05-15 22:13:38,327 - pyskl - INFO - Saving checkpoint at 68 epochs |
| 2025-05-15 22:14:16,252 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:14:16,324 - pyskl - INFO - |
| top1_acc 0.6433 |
| top5_acc 0.9068 |
| 2025-05-15 22:14:16,325 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:14:16,333 - pyskl - INFO - |
| mean_acc 0.6440 |
| 2025-05-15 22:14:16,334 - pyskl - INFO - Epoch(val) [68][413] top1_acc: 0.6433, top5_acc: 0.9068, mean_class_accuracy: 0.6440 |
| 2025-05-15 22:15:19,381 - pyskl - INFO - Epoch [69][100/1027] lr: 1.430e-02, eta: 9:08:40, time: 0.630, data_time: 0.254, memory: 7959, top1_acc: 0.6381, top5_acc: 0.8712, loss_cls: 5.5927, loss: 5.5927 |
| 2025-05-15 22:15:56,909 - pyskl - INFO - Epoch [69][200/1027] lr: 1.428e-02, eta: 9:07:59, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6362, top5_acc: 0.8775, loss_cls: 5.6090, loss: 5.6090 |
| 2025-05-15 22:16:34,507 - pyskl - INFO - Epoch [69][300/1027] lr: 1.425e-02, eta: 9:07:18, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6488, top5_acc: 0.8738, loss_cls: 5.6026, loss: 5.6026 |
| 2025-05-15 22:17:11,989 - pyskl - INFO - Epoch [69][400/1027] lr: 1.423e-02, eta: 9:06:37, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6338, top5_acc: 0.8662, loss_cls: 5.7508, loss: 5.7508 |
| 2025-05-15 22:17:49,482 - pyskl - INFO - Epoch [69][500/1027] lr: 1.420e-02, eta: 9:05:55, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6181, top5_acc: 0.8706, loss_cls: 5.7369, loss: 5.7369 |
| 2025-05-15 22:18:27,011 - pyskl - INFO - Epoch [69][600/1027] lr: 1.417e-02, eta: 9:05:14, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6381, top5_acc: 0.8731, loss_cls: 5.8481, loss: 5.8481 |
| 2025-05-15 22:19:04,669 - pyskl - INFO - Epoch [69][700/1027] lr: 1.415e-02, eta: 9:04:34, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6388, top5_acc: 0.8819, loss_cls: 5.6173, loss: 5.6173 |
| 2025-05-15 22:19:42,221 - pyskl - INFO - Epoch [69][800/1027] lr: 1.412e-02, eta: 9:03:53, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6350, top5_acc: 0.8769, loss_cls: 5.6398, loss: 5.6398 |
| 2025-05-15 22:20:19,587 - pyskl - INFO - Epoch [69][900/1027] lr: 1.410e-02, eta: 9:03:11, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6206, top5_acc: 0.8612, loss_cls: 5.8735, loss: 5.8735 |
| 2025-05-15 22:20:57,394 - pyskl - INFO - Epoch [69][1000/1027] lr: 1.407e-02, eta: 9:02:31, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6225, top5_acc: 0.8656, loss_cls: 5.7153, loss: 5.7153 |
| 2025-05-15 22:21:08,381 - pyskl - INFO - Saving checkpoint at 69 epochs |
| 2025-05-15 22:21:46,239 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:21:46,311 - pyskl - INFO - |
| top1_acc 0.6445 |
| top5_acc 0.8977 |
| 2025-05-15 22:21:46,312 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:21:46,321 - pyskl - INFO - |
| mean_acc 0.6550 |
| 2025-05-15 22:21:46,323 - pyskl - INFO - Epoch(val) [69][413] top1_acc: 0.6445, top5_acc: 0.8977, mean_class_accuracy: 0.6550 |
| 2025-05-15 22:22:49,606 - pyskl - INFO - Epoch [70][100/1027] lr: 1.404e-02, eta: 9:01:57, time: 0.633, data_time: 0.258, memory: 7959, top1_acc: 0.6606, top5_acc: 0.8894, loss_cls: 5.6339, loss: 5.6339 |
| 2025-05-15 22:23:27,040 - pyskl - INFO - Epoch [70][200/1027] lr: 1.402e-02, eta: 9:01:16, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6469, top5_acc: 0.8762, loss_cls: 5.7413, loss: 5.7413 |
| 2025-05-15 22:24:04,611 - pyskl - INFO - Epoch [70][300/1027] lr: 1.399e-02, eta: 9:00:35, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8700, loss_cls: 5.6942, loss: 5.6942 |
| 2025-05-15 22:24:42,546 - pyskl - INFO - Epoch [70][400/1027] lr: 1.397e-02, eta: 8:59:54, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6544, top5_acc: 0.8806, loss_cls: 5.7954, loss: 5.7954 |
| 2025-05-15 22:25:19,972 - pyskl - INFO - Epoch [70][500/1027] lr: 1.394e-02, eta: 8:59:13, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6419, top5_acc: 0.8844, loss_cls: 5.6162, loss: 5.6162 |
| 2025-05-15 22:25:57,384 - pyskl - INFO - Epoch [70][600/1027] lr: 1.392e-02, eta: 8:58:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8744, loss_cls: 5.7542, loss: 5.7542 |
| 2025-05-15 22:26:34,794 - pyskl - INFO - Epoch [70][700/1027] lr: 1.389e-02, eta: 8:57:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8756, loss_cls: 5.8228, loss: 5.8228 |
| 2025-05-15 22:27:12,426 - pyskl - INFO - Epoch [70][800/1027] lr: 1.386e-02, eta: 8:57:10, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6131, top5_acc: 0.8725, loss_cls: 5.7497, loss: 5.7497 |
| 2025-05-15 22:27:49,971 - pyskl - INFO - Epoch [70][900/1027] lr: 1.384e-02, eta: 8:56:29, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6550, top5_acc: 0.8806, loss_cls: 5.5982, loss: 5.5982 |
| 2025-05-15 22:28:27,726 - pyskl - INFO - Epoch [70][1000/1027] lr: 1.381e-02, eta: 8:55:49, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8775, loss_cls: 5.6939, loss: 5.6939 |
| 2025-05-15 22:28:38,844 - pyskl - INFO - Saving checkpoint at 70 epochs |
| 2025-05-15 22:29:16,383 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:29:16,456 - pyskl - INFO - |
| top1_acc 0.6412 |
| top5_acc 0.8829 |
| 2025-05-15 22:29:16,457 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:29:16,466 - pyskl - INFO - |
| mean_acc 0.6361 |
| 2025-05-15 22:29:16,468 - pyskl - INFO - Epoch(val) [70][413] top1_acc: 0.6412, top5_acc: 0.8829, mean_class_accuracy: 0.6361 |
| 2025-05-15 22:30:19,542 - pyskl - INFO - Epoch [71][100/1027] lr: 1.378e-02, eta: 8:55:14, time: 0.631, data_time: 0.254, memory: 7959, top1_acc: 0.6556, top5_acc: 0.8894, loss_cls: 5.4834, loss: 5.4834 |
| 2025-05-15 22:30:57,085 - pyskl - INFO - Epoch [71][200/1027] lr: 1.376e-02, eta: 8:54:33, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6488, top5_acc: 0.8775, loss_cls: 5.5817, loss: 5.5817 |
| 2025-05-15 22:31:34,679 - pyskl - INFO - Epoch [71][300/1027] lr: 1.373e-02, eta: 8:53:52, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6431, top5_acc: 0.8788, loss_cls: 5.5525, loss: 5.5525 |
| 2025-05-15 22:32:12,186 - pyskl - INFO - Epoch [71][400/1027] lr: 1.371e-02, eta: 8:53:11, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6425, top5_acc: 0.8806, loss_cls: 5.6211, loss: 5.6211 |
| 2025-05-15 22:32:49,562 - pyskl - INFO - Epoch [71][500/1027] lr: 1.368e-02, eta: 8:52:30, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6469, top5_acc: 0.8781, loss_cls: 5.6469, loss: 5.6469 |
| 2025-05-15 22:33:26,835 - pyskl - INFO - Epoch [71][600/1027] lr: 1.365e-02, eta: 8:51:49, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6325, top5_acc: 0.8812, loss_cls: 5.7577, loss: 5.7577 |
| 2025-05-15 22:34:04,093 - pyskl - INFO - Epoch [71][700/1027] lr: 1.363e-02, eta: 8:51:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6362, top5_acc: 0.8600, loss_cls: 5.7833, loss: 5.7833 |
| 2025-05-15 22:34:41,374 - pyskl - INFO - Epoch [71][800/1027] lr: 1.360e-02, eta: 8:50:27, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6262, top5_acc: 0.8550, loss_cls: 5.7981, loss: 5.7981 |
| 2025-05-15 22:35:18,779 - pyskl - INFO - Epoch [71][900/1027] lr: 1.358e-02, eta: 8:49:46, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6394, top5_acc: 0.8725, loss_cls: 5.7162, loss: 5.7162 |
| 2025-05-15 22:35:56,438 - pyskl - INFO - Epoch [71][1000/1027] lr: 1.355e-02, eta: 8:49:05, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6613, top5_acc: 0.8788, loss_cls: 5.6568, loss: 5.6568 |
| 2025-05-15 22:36:07,394 - pyskl - INFO - Saving checkpoint at 71 epochs |
| 2025-05-15 22:36:45,271 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:36:45,350 - pyskl - INFO - |
| top1_acc 0.6562 |
| top5_acc 0.9088 |
| 2025-05-15 22:36:45,350 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:36:45,360 - pyskl - INFO - |
| mean_acc 0.6545 |
| 2025-05-15 22:36:45,363 - pyskl - INFO - Epoch(val) [71][413] top1_acc: 0.6562, top5_acc: 0.9088, mean_class_accuracy: 0.6545 |
| 2025-05-15 22:37:48,501 - pyskl - INFO - Epoch [72][100/1027] lr: 1.352e-02, eta: 8:48:30, time: 0.631, data_time: 0.255, memory: 7959, top1_acc: 0.6637, top5_acc: 0.8912, loss_cls: 5.4683, loss: 5.4683 |
| 2025-05-15 22:38:25,770 - pyskl - INFO - Epoch [72][200/1027] lr: 1.350e-02, eta: 8:47:49, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6600, top5_acc: 0.8775, loss_cls: 5.5666, loss: 5.5666 |
| 2025-05-15 22:39:03,434 - pyskl - INFO - Epoch [72][300/1027] lr: 1.347e-02, eta: 8:47:08, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6438, top5_acc: 0.8738, loss_cls: 5.7389, loss: 5.7389 |
| 2025-05-15 22:39:41,428 - pyskl - INFO - Epoch [72][400/1027] lr: 1.344e-02, eta: 8:46:28, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6512, top5_acc: 0.8819, loss_cls: 5.6401, loss: 5.6401 |
| 2025-05-15 22:40:18,925 - pyskl - INFO - Epoch [72][500/1027] lr: 1.342e-02, eta: 8:45:47, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6512, top5_acc: 0.8788, loss_cls: 5.5583, loss: 5.5583 |
| 2025-05-15 22:40:56,438 - pyskl - INFO - Epoch [72][600/1027] lr: 1.339e-02, eta: 8:45:06, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8638, loss_cls: 5.6563, loss: 5.6563 |
| 2025-05-15 22:41:33,880 - pyskl - INFO - Epoch [72][700/1027] lr: 1.337e-02, eta: 8:44:25, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8850, loss_cls: 5.5386, loss: 5.5386 |
| 2025-05-15 22:42:11,260 - pyskl - INFO - Epoch [72][800/1027] lr: 1.334e-02, eta: 8:43:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6238, top5_acc: 0.8550, loss_cls: 5.8746, loss: 5.8746 |
| 2025-05-15 22:42:48,851 - pyskl - INFO - Epoch [72][900/1027] lr: 1.332e-02, eta: 8:43:03, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6294, top5_acc: 0.8712, loss_cls: 5.6789, loss: 5.6789 |
| 2025-05-15 22:43:26,608 - pyskl - INFO - Epoch [72][1000/1027] lr: 1.329e-02, eta: 8:42:23, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8731, loss_cls: 5.6759, loss: 5.6759 |
| 2025-05-15 22:43:37,996 - pyskl - INFO - Saving checkpoint at 72 epochs |
| 2025-05-15 22:44:17,447 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:44:17,532 - pyskl - INFO - |
| top1_acc 0.6553 |
| top5_acc 0.9086 |
| 2025-05-15 22:44:17,533 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:44:17,545 - pyskl - INFO - |
| mean_acc 0.6498 |
| 2025-05-15 22:44:17,548 - pyskl - INFO - Epoch(val) [72][413] top1_acc: 0.6553, top5_acc: 0.9086, mean_class_accuracy: 0.6498 |
| 2025-05-15 22:45:21,782 - pyskl - INFO - Epoch [73][100/1027] lr: 1.326e-02, eta: 8:41:49, time: 0.642, data_time: 0.265, memory: 7959, top1_acc: 0.6963, top5_acc: 0.9025, loss_cls: 5.3587, loss: 5.3587 |
| 2025-05-15 22:45:59,376 - pyskl - INFO - Epoch [73][200/1027] lr: 1.323e-02, eta: 8:41:08, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6775, top5_acc: 0.9081, loss_cls: 5.4043, loss: 5.4043 |
| 2025-05-15 22:46:37,043 - pyskl - INFO - Epoch [73][300/1027] lr: 1.321e-02, eta: 8:40:27, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6488, top5_acc: 0.8788, loss_cls: 5.6301, loss: 5.6301 |
| 2025-05-15 22:47:14,913 - pyskl - INFO - Epoch [73][400/1027] lr: 1.318e-02, eta: 8:39:47, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6531, top5_acc: 0.8800, loss_cls: 5.5071, loss: 5.5071 |
| 2025-05-15 22:47:53,125 - pyskl - INFO - Epoch [73][500/1027] lr: 1.316e-02, eta: 8:39:07, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6731, top5_acc: 0.8769, loss_cls: 5.5484, loss: 5.5484 |
| 2025-05-15 22:48:31,350 - pyskl - INFO - Epoch [73][600/1027] lr: 1.313e-02, eta: 8:38:27, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6538, top5_acc: 0.8619, loss_cls: 5.7129, loss: 5.7129 |
| 2025-05-15 22:49:08,763 - pyskl - INFO - Epoch [73][700/1027] lr: 1.311e-02, eta: 8:37:46, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8694, loss_cls: 5.6878, loss: 5.6878 |
| 2025-05-15 22:49:46,261 - pyskl - INFO - Epoch [73][800/1027] lr: 1.308e-02, eta: 8:37:05, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6600, top5_acc: 0.8731, loss_cls: 5.5897, loss: 5.5897 |
| 2025-05-15 22:50:23,850 - pyskl - INFO - Epoch [73][900/1027] lr: 1.306e-02, eta: 8:36:24, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6438, top5_acc: 0.8681, loss_cls: 5.7701, loss: 5.7701 |
| 2025-05-15 22:51:01,459 - pyskl - INFO - Epoch [73][1000/1027] lr: 1.303e-02, eta: 8:35:43, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6456, top5_acc: 0.8712, loss_cls: 5.6571, loss: 5.6571 |
| 2025-05-15 22:51:12,619 - pyskl - INFO - Saving checkpoint at 73 epochs |
| 2025-05-15 22:51:50,477 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:51:50,549 - pyskl - INFO - |
| top1_acc 0.6690 |
| top5_acc 0.9120 |
| 2025-05-15 22:51:50,550 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:51:50,557 - pyskl - INFO - |
| mean_acc 0.6700 |
| 2025-05-15 22:51:50,620 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_66.pth was removed |
| 2025-05-15 22:51:52,220 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_73.pth. |
| 2025-05-15 22:51:52,222 - pyskl - INFO - Best top1_acc is 0.6690 at 73 epoch. |
| 2025-05-15 22:51:52,225 - pyskl - INFO - Epoch(val) [73][413] top1_acc: 0.6690, top5_acc: 0.9120, mean_class_accuracy: 0.6700 |
| 2025-05-15 22:52:55,279 - pyskl - INFO - Epoch [74][100/1027] lr: 1.300e-02, eta: 8:35:08, time: 0.630, data_time: 0.256, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8912, loss_cls: 5.4927, loss: 5.4927 |
| 2025-05-15 22:53:32,746 - pyskl - INFO - Epoch [74][200/1027] lr: 1.297e-02, eta: 8:34:27, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6681, top5_acc: 0.8938, loss_cls: 5.5160, loss: 5.5160 |
| 2025-05-15 22:54:10,492 - pyskl - INFO - Epoch [74][300/1027] lr: 1.295e-02, eta: 8:33:46, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6412, top5_acc: 0.8862, loss_cls: 5.5742, loss: 5.5742 |
| 2025-05-15 22:54:48,046 - pyskl - INFO - Epoch [74][400/1027] lr: 1.292e-02, eta: 8:33:05, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6406, top5_acc: 0.8681, loss_cls: 5.6268, loss: 5.6268 |
| 2025-05-15 22:55:25,466 - pyskl - INFO - Epoch [74][500/1027] lr: 1.290e-02, eta: 8:32:25, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6469, top5_acc: 0.8769, loss_cls: 5.7468, loss: 5.7468 |
| 2025-05-15 22:56:02,791 - pyskl - INFO - Epoch [74][600/1027] lr: 1.287e-02, eta: 8:31:44, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6394, top5_acc: 0.8656, loss_cls: 5.7285, loss: 5.7285 |
| 2025-05-15 22:56:40,031 - pyskl - INFO - Epoch [74][700/1027] lr: 1.285e-02, eta: 8:31:02, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6744, top5_acc: 0.9012, loss_cls: 5.4344, loss: 5.4344 |
| 2025-05-15 22:57:17,413 - pyskl - INFO - Epoch [74][800/1027] lr: 1.282e-02, eta: 8:30:22, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6488, top5_acc: 0.8838, loss_cls: 5.4939, loss: 5.4939 |
| 2025-05-15 22:57:55,020 - pyskl - INFO - Epoch [74][900/1027] lr: 1.279e-02, eta: 8:29:41, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6594, top5_acc: 0.8862, loss_cls: 5.5466, loss: 5.5466 |
| 2025-05-15 22:58:32,746 - pyskl - INFO - Epoch [74][1000/1027] lr: 1.277e-02, eta: 8:29:00, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6338, top5_acc: 0.8731, loss_cls: 5.7014, loss: 5.7014 |
| 2025-05-15 22:58:43,839 - pyskl - INFO - Saving checkpoint at 74 epochs |
| 2025-05-15 22:59:21,814 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:59:21,886 - pyskl - INFO - |
| top1_acc 0.6583 |
| top5_acc 0.9074 |
| 2025-05-15 22:59:21,887 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:59:21,894 - pyskl - INFO - |
| mean_acc 0.6596 |
| 2025-05-15 22:59:21,896 - pyskl - INFO - Epoch(val) [74][413] top1_acc: 0.6583, top5_acc: 0.9074, mean_class_accuracy: 0.6596 |
| 2025-05-15 23:00:24,680 - pyskl - INFO - Epoch [75][100/1027] lr: 1.274e-02, eta: 8:28:24, time: 0.628, data_time: 0.253, memory: 7959, top1_acc: 0.6744, top5_acc: 0.9056, loss_cls: 5.4328, loss: 5.4328 |
| 2025-05-15 23:01:02,238 - pyskl - INFO - Epoch [75][200/1027] lr: 1.271e-02, eta: 8:27:43, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6625, top5_acc: 0.8956, loss_cls: 5.4873, loss: 5.4873 |
| 2025-05-15 23:01:39,696 - pyskl - INFO - Epoch [75][300/1027] lr: 1.269e-02, eta: 8:27:02, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6894, top5_acc: 0.8950, loss_cls: 5.4551, loss: 5.4551 |
| 2025-05-15 23:02:17,240 - pyskl - INFO - Epoch [75][400/1027] lr: 1.266e-02, eta: 8:26:22, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6656, top5_acc: 0.8794, loss_cls: 5.5121, loss: 5.5121 |
| 2025-05-15 23:02:54,614 - pyskl - INFO - Epoch [75][500/1027] lr: 1.263e-02, eta: 8:25:41, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6713, top5_acc: 0.8869, loss_cls: 5.4700, loss: 5.4700 |
| 2025-05-15 23:03:31,915 - pyskl - INFO - Epoch [75][600/1027] lr: 1.261e-02, eta: 8:25:00, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6600, top5_acc: 0.8931, loss_cls: 5.5048, loss: 5.5048 |
| 2025-05-15 23:04:09,202 - pyskl - INFO - Epoch [75][700/1027] lr: 1.258e-02, eta: 8:24:19, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6412, top5_acc: 0.8700, loss_cls: 5.6828, loss: 5.6828 |
| 2025-05-15 23:04:46,761 - pyskl - INFO - Epoch [75][800/1027] lr: 1.256e-02, eta: 8:23:38, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6406, top5_acc: 0.8819, loss_cls: 5.5673, loss: 5.5673 |
| 2025-05-15 23:05:24,215 - pyskl - INFO - Epoch [75][900/1027] lr: 1.253e-02, eta: 8:22:57, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8688, loss_cls: 5.6399, loss: 5.6399 |
| 2025-05-15 23:06:01,741 - pyskl - INFO - Epoch [75][1000/1027] lr: 1.251e-02, eta: 8:22:17, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6262, top5_acc: 0.8756, loss_cls: 5.6829, loss: 5.6829 |
| 2025-05-15 23:06:12,870 - pyskl - INFO - Saving checkpoint at 75 epochs |
| 2025-05-15 23:06:50,749 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:06:50,822 - pyskl - INFO - |
| top1_acc 0.6615 |
| top5_acc 0.9098 |
| 2025-05-15 23:06:50,823 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:06:50,832 - pyskl - INFO - |
| mean_acc 0.6616 |
| 2025-05-15 23:06:50,835 - pyskl - INFO - Epoch(val) [75][413] top1_acc: 0.6615, top5_acc: 0.9098, mean_class_accuracy: 0.6616 |
| 2025-05-15 23:07:53,952 - pyskl - INFO - Epoch [76][100/1027] lr: 1.247e-02, eta: 8:21:40, time: 0.631, data_time: 0.257, memory: 7959, top1_acc: 0.6763, top5_acc: 0.9000, loss_cls: 5.3830, loss: 5.3830 |
| 2025-05-15 23:08:31,522 - pyskl - INFO - Epoch [76][200/1027] lr: 1.245e-02, eta: 8:21:00, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6787, top5_acc: 0.8944, loss_cls: 5.4227, loss: 5.4227 |
| 2025-05-15 23:09:09,106 - pyskl - INFO - Epoch [76][300/1027] lr: 1.242e-02, eta: 8:20:19, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6725, top5_acc: 0.8850, loss_cls: 5.4498, loss: 5.4498 |
| 2025-05-15 23:09:46,672 - pyskl - INFO - Epoch [76][400/1027] lr: 1.240e-02, eta: 8:19:38, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6675, top5_acc: 0.8800, loss_cls: 5.5334, loss: 5.5334 |
| 2025-05-15 23:10:23,840 - pyskl - INFO - Epoch [76][500/1027] lr: 1.237e-02, eta: 8:18:57, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6644, top5_acc: 0.8838, loss_cls: 5.5648, loss: 5.5648 |
| 2025-05-15 23:11:01,272 - pyskl - INFO - Epoch [76][600/1027] lr: 1.235e-02, eta: 8:18:17, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6562, top5_acc: 0.8875, loss_cls: 5.6082, loss: 5.6082 |
| 2025-05-15 23:11:38,729 - pyskl - INFO - Epoch [76][700/1027] lr: 1.232e-02, eta: 8:17:36, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6481, top5_acc: 0.8775, loss_cls: 5.5959, loss: 5.5959 |
| 2025-05-15 23:12:16,273 - pyskl - INFO - Epoch [76][800/1027] lr: 1.230e-02, eta: 8:16:55, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6562, top5_acc: 0.8856, loss_cls: 5.5450, loss: 5.5450 |
| 2025-05-15 23:12:53,718 - pyskl - INFO - Epoch [76][900/1027] lr: 1.227e-02, eta: 8:16:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6556, top5_acc: 0.8856, loss_cls: 5.5470, loss: 5.5470 |
| 2025-05-15 23:13:31,443 - pyskl - INFO - Epoch [76][1000/1027] lr: 1.225e-02, eta: 8:15:34, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6581, top5_acc: 0.8931, loss_cls: 5.4744, loss: 5.4744 |
| 2025-05-15 23:13:42,569 - pyskl - INFO - Saving checkpoint at 76 epochs |
| 2025-05-15 23:14:20,689 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:14:20,763 - pyskl - INFO - |
| top1_acc 0.6592 |
| top5_acc 0.9068 |
| 2025-05-15 23:14:20,764 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:14:20,773 - pyskl - INFO - |
| mean_acc 0.6594 |
| 2025-05-15 23:14:20,776 - pyskl - INFO - Epoch(val) [76][413] top1_acc: 0.6592, top5_acc: 0.9068, mean_class_accuracy: 0.6594 |
| 2025-05-15 23:15:24,211 - pyskl - INFO - Epoch [77][100/1027] lr: 1.221e-02, eta: 8:14:58, time: 0.634, data_time: 0.257, memory: 7959, top1_acc: 0.6794, top5_acc: 0.8906, loss_cls: 5.4218, loss: 5.4218 |
| 2025-05-15 23:16:01,798 - pyskl - INFO - Epoch [77][200/1027] lr: 1.219e-02, eta: 8:14:17, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7000, top5_acc: 0.8988, loss_cls: 5.3200, loss: 5.3200 |
| 2025-05-15 23:16:39,647 - pyskl - INFO - Epoch [77][300/1027] lr: 1.216e-02, eta: 8:13:37, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6494, top5_acc: 0.8944, loss_cls: 5.4515, loss: 5.4515 |
| 2025-05-15 23:17:17,209 - pyskl - INFO - Epoch [77][400/1027] lr: 1.214e-02, eta: 8:12:56, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6556, top5_acc: 0.8856, loss_cls: 5.5285, loss: 5.5285 |
| 2025-05-15 23:17:54,508 - pyskl - INFO - Epoch [77][500/1027] lr: 1.211e-02, eta: 8:12:15, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6781, top5_acc: 0.8900, loss_cls: 5.4932, loss: 5.4932 |
| 2025-05-15 23:18:31,743 - pyskl - INFO - Epoch [77][600/1027] lr: 1.209e-02, eta: 8:11:34, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6538, top5_acc: 0.8988, loss_cls: 5.4192, loss: 5.4192 |
| 2025-05-15 23:19:09,033 - pyskl - INFO - Epoch [77][700/1027] lr: 1.206e-02, eta: 8:10:53, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6781, top5_acc: 0.9087, loss_cls: 5.3818, loss: 5.3818 |
| 2025-05-15 23:19:46,300 - pyskl - INFO - Epoch [77][800/1027] lr: 1.203e-02, eta: 8:10:12, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6444, top5_acc: 0.8656, loss_cls: 5.7353, loss: 5.7353 |
| 2025-05-15 23:20:23,692 - pyskl - INFO - Epoch [77][900/1027] lr: 1.201e-02, eta: 8:09:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8994, loss_cls: 5.5138, loss: 5.5138 |
| 2025-05-15 23:21:01,317 - pyskl - INFO - Epoch [77][1000/1027] lr: 1.198e-02, eta: 8:08:51, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6631, top5_acc: 0.8844, loss_cls: 5.5553, loss: 5.5553 |
| 2025-05-15 23:21:12,285 - pyskl - INFO - Saving checkpoint at 77 epochs |
| 2025-05-15 23:21:50,121 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:21:50,196 - pyskl - INFO - |
| top1_acc 0.6572 |
| top5_acc 0.9095 |
| 2025-05-15 23:21:50,196 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:21:50,210 - pyskl - INFO - |
| mean_acc 0.6554 |
| 2025-05-15 23:21:50,212 - pyskl - INFO - Epoch(val) [77][413] top1_acc: 0.6572, top5_acc: 0.9095, mean_class_accuracy: 0.6554 |
| 2025-05-15 23:22:53,387 - pyskl - INFO - Epoch [78][100/1027] lr: 1.195e-02, eta: 8:08:14, time: 0.632, data_time: 0.257, memory: 7959, top1_acc: 0.7137, top5_acc: 0.9087, loss_cls: 5.1665, loss: 5.1665 |
| 2025-05-15 23:23:30,750 - pyskl - INFO - Epoch [78][200/1027] lr: 1.193e-02, eta: 8:07:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6606, top5_acc: 0.8894, loss_cls: 5.6612, loss: 5.6612 |
| 2025-05-15 23:24:08,375 - pyskl - INFO - Epoch [78][300/1027] lr: 1.190e-02, eta: 8:06:53, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6700, top5_acc: 0.8994, loss_cls: 5.4837, loss: 5.4837 |
| 2025-05-15 23:24:46,041 - pyskl - INFO - Epoch [78][400/1027] lr: 1.187e-02, eta: 8:06:12, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6694, top5_acc: 0.8831, loss_cls: 5.5421, loss: 5.5421 |
| 2025-05-15 23:25:23,375 - pyskl - INFO - Epoch [78][500/1027] lr: 1.185e-02, eta: 8:05:32, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6819, top5_acc: 0.8988, loss_cls: 5.4641, loss: 5.4641 |
| 2025-05-15 23:26:00,684 - pyskl - INFO - Epoch [78][600/1027] lr: 1.182e-02, eta: 8:04:51, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8744, loss_cls: 5.5200, loss: 5.5200 |
| 2025-05-15 23:26:38,038 - pyskl - INFO - Epoch [78][700/1027] lr: 1.180e-02, eta: 8:04:10, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8875, loss_cls: 5.4836, loss: 5.4836 |
| 2025-05-15 23:27:15,426 - pyskl - INFO - Epoch [78][800/1027] lr: 1.177e-02, eta: 8:03:29, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6656, top5_acc: 0.8869, loss_cls: 5.4895, loss: 5.4895 |
| 2025-05-15 23:27:52,724 - pyskl - INFO - Epoch [78][900/1027] lr: 1.175e-02, eta: 8:02:49, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8825, loss_cls: 5.4909, loss: 5.4909 |
| 2025-05-15 23:28:30,324 - pyskl - INFO - Epoch [78][1000/1027] lr: 1.172e-02, eta: 8:02:08, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6581, top5_acc: 0.8831, loss_cls: 5.5208, loss: 5.5208 |
| 2025-05-15 23:28:41,367 - pyskl - INFO - Saving checkpoint at 78 epochs |
| 2025-05-15 23:29:19,706 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:29:19,787 - pyskl - INFO - |
| top1_acc 0.6589 |
| top5_acc 0.9082 |
| 2025-05-15 23:29:19,787 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:29:19,796 - pyskl - INFO - |
| mean_acc 0.6607 |
| 2025-05-15 23:29:19,799 - pyskl - INFO - Epoch(val) [78][413] top1_acc: 0.6589, top5_acc: 0.9082, mean_class_accuracy: 0.6607 |
| 2025-05-15 23:30:23,270 - pyskl - INFO - Epoch [79][100/1027] lr: 1.169e-02, eta: 8:01:31, time: 0.635, data_time: 0.258, memory: 7959, top1_acc: 0.6887, top5_acc: 0.8988, loss_cls: 5.3897, loss: 5.3897 |
| 2025-05-15 23:31:00,728 - pyskl - INFO - Epoch [79][200/1027] lr: 1.166e-02, eta: 8:00:50, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6913, top5_acc: 0.9025, loss_cls: 5.3887, loss: 5.3887 |
| 2025-05-15 23:31:38,485 - pyskl - INFO - Epoch [79][300/1027] lr: 1.164e-02, eta: 8:00:10, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6819, top5_acc: 0.8850, loss_cls: 5.4563, loss: 5.4563 |
| 2025-05-15 23:32:16,465 - pyskl - INFO - Epoch [79][400/1027] lr: 1.161e-02, eta: 7:59:30, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6800, top5_acc: 0.8956, loss_cls: 5.3847, loss: 5.3847 |
| 2025-05-15 23:32:53,835 - pyskl - INFO - Epoch [79][500/1027] lr: 1.159e-02, eta: 7:58:49, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6831, top5_acc: 0.8988, loss_cls: 5.3673, loss: 5.3673 |
| 2025-05-15 23:33:31,187 - pyskl - INFO - Epoch [79][600/1027] lr: 1.156e-02, eta: 7:58:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6412, top5_acc: 0.8881, loss_cls: 5.4945, loss: 5.4945 |
| 2025-05-15 23:34:08,676 - pyskl - INFO - Epoch [79][700/1027] lr: 1.154e-02, eta: 7:57:28, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6813, top5_acc: 0.9012, loss_cls: 5.2906, loss: 5.2906 |
| 2025-05-15 23:34:46,240 - pyskl - INFO - Epoch [79][800/1027] lr: 1.151e-02, eta: 7:56:47, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6700, top5_acc: 0.8950, loss_cls: 5.4592, loss: 5.4592 |
| 2025-05-15 23:35:23,765 - pyskl - INFO - Epoch [79][900/1027] lr: 1.149e-02, eta: 7:56:07, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6631, top5_acc: 0.8844, loss_cls: 5.4972, loss: 5.4972 |
| 2025-05-15 23:36:01,298 - pyskl - INFO - Epoch [79][1000/1027] lr: 1.146e-02, eta: 7:55:26, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6506, top5_acc: 0.8869, loss_cls: 5.6217, loss: 5.6217 |
| 2025-05-15 23:36:12,290 - pyskl - INFO - Saving checkpoint at 79 epochs |
| 2025-05-15 23:36:50,533 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:36:50,604 - pyskl - INFO - |
| top1_acc 0.6471 |
| top5_acc 0.8956 |
| 2025-05-15 23:36:50,605 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:36:50,613 - pyskl - INFO - |
| mean_acc 0.6510 |
| 2025-05-15 23:36:50,615 - pyskl - INFO - Epoch(val) [79][413] top1_acc: 0.6471, top5_acc: 0.8956, mean_class_accuracy: 0.6510 |
| 2025-05-15 23:37:55,175 - pyskl - INFO - Epoch [80][100/1027] lr: 1.143e-02, eta: 7:54:50, time: 0.646, data_time: 0.267, memory: 7959, top1_acc: 0.7081, top5_acc: 0.9062, loss_cls: 5.2358, loss: 5.2358 |
| 2025-05-15 23:38:32,885 - pyskl - INFO - Epoch [80][200/1027] lr: 1.140e-02, eta: 7:54:10, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7094, top5_acc: 0.9181, loss_cls: 5.2075, loss: 5.2075 |
| 2025-05-15 23:39:11,239 - pyskl - INFO - Epoch [80][300/1027] lr: 1.138e-02, eta: 7:53:30, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6837, top5_acc: 0.8931, loss_cls: 5.3221, loss: 5.3221 |
| 2025-05-15 23:39:48,677 - pyskl - INFO - Epoch [80][400/1027] lr: 1.135e-02, eta: 7:52:49, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6813, top5_acc: 0.8862, loss_cls: 5.3978, loss: 5.3978 |
| 2025-05-15 23:40:25,557 - pyskl - INFO - Epoch [80][500/1027] lr: 1.133e-02, eta: 7:52:08, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.6744, top5_acc: 0.8919, loss_cls: 5.4314, loss: 5.4314 |
| 2025-05-15 23:41:02,419 - pyskl - INFO - Epoch [80][600/1027] lr: 1.130e-02, eta: 7:51:27, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.6787, top5_acc: 0.8875, loss_cls: 5.4640, loss: 5.4640 |
| 2025-05-15 23:41:39,638 - pyskl - INFO - Epoch [80][700/1027] lr: 1.128e-02, eta: 7:50:46, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6594, top5_acc: 0.8838, loss_cls: 5.4188, loss: 5.4188 |
| 2025-05-15 23:42:17,097 - pyskl - INFO - Epoch [80][800/1027] lr: 1.125e-02, eta: 7:50:06, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6512, top5_acc: 0.8919, loss_cls: 5.5491, loss: 5.5491 |
| 2025-05-15 23:42:54,515 - pyskl - INFO - Epoch [80][900/1027] lr: 1.123e-02, eta: 7:49:25, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6562, top5_acc: 0.8950, loss_cls: 5.4074, loss: 5.4074 |
| 2025-05-15 23:43:32,321 - pyskl - INFO - Epoch [80][1000/1027] lr: 1.120e-02, eta: 7:48:45, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6863, top5_acc: 0.8956, loss_cls: 5.4324, loss: 5.4324 |
| 2025-05-15 23:43:43,340 - pyskl - INFO - Saving checkpoint at 80 epochs |
| 2025-05-15 23:44:20,968 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:44:21,040 - pyskl - INFO - |
| top1_acc 0.6572 |
| top5_acc 0.9067 |
| 2025-05-15 23:44:21,040 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:44:21,048 - pyskl - INFO - |
| mean_acc 0.6601 |
| 2025-05-15 23:44:21,050 - pyskl - INFO - Epoch(val) [80][413] top1_acc: 0.6572, top5_acc: 0.9067, mean_class_accuracy: 0.6601 |
| 2025-05-15 23:45:24,535 - pyskl - INFO - Epoch [81][100/1027] lr: 1.117e-02, eta: 7:48:07, time: 0.635, data_time: 0.258, memory: 7959, top1_acc: 0.7094, top5_acc: 0.9056, loss_cls: 5.2914, loss: 5.2914 |
| 2025-05-15 23:46:02,252 - pyskl - INFO - Epoch [81][200/1027] lr: 1.114e-02, eta: 7:47:27, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9113, loss_cls: 5.2427, loss: 5.2427 |
| 2025-05-15 23:46:40,068 - pyskl - INFO - Epoch [81][300/1027] lr: 1.112e-02, eta: 7:46:47, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7119, top5_acc: 0.9056, loss_cls: 5.2501, loss: 5.2501 |
| 2025-05-15 23:47:18,035 - pyskl - INFO - Epoch [81][400/1027] lr: 1.109e-02, eta: 7:46:06, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6781, top5_acc: 0.9038, loss_cls: 5.5192, loss: 5.5192 |
| 2025-05-15 23:47:55,426 - pyskl - INFO - Epoch [81][500/1027] lr: 1.107e-02, eta: 7:45:26, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6919, top5_acc: 0.9038, loss_cls: 5.3198, loss: 5.3198 |
| 2025-05-15 23:48:32,794 - pyskl - INFO - Epoch [81][600/1027] lr: 1.104e-02, eta: 7:44:45, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6644, top5_acc: 0.8925, loss_cls: 5.4272, loss: 5.4272 |
| 2025-05-15 23:49:10,690 - pyskl - INFO - Epoch [81][700/1027] lr: 1.102e-02, eta: 7:44:05, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6700, top5_acc: 0.8938, loss_cls: 5.4223, loss: 5.4223 |
| 2025-05-15 23:49:48,123 - pyskl - INFO - Epoch [81][800/1027] lr: 1.099e-02, eta: 7:43:24, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6925, top5_acc: 0.9025, loss_cls: 5.3485, loss: 5.3485 |
| 2025-05-15 23:50:25,483 - pyskl - INFO - Epoch [81][900/1027] lr: 1.097e-02, eta: 7:42:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6550, top5_acc: 0.8912, loss_cls: 5.5433, loss: 5.5433 |
| 2025-05-15 23:51:03,039 - pyskl - INFO - Epoch [81][1000/1027] lr: 1.094e-02, eta: 7:42:03, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6713, top5_acc: 0.8925, loss_cls: 5.4040, loss: 5.4040 |
| 2025-05-15 23:51:14,012 - pyskl - INFO - Saving checkpoint at 81 epochs |
| 2025-05-15 23:51:52,001 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:51:52,077 - pyskl - INFO - |
| top1_acc 0.6731 |
| top5_acc 0.9079 |
| 2025-05-15 23:51:52,077 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:51:52,087 - pyskl - INFO - |
| mean_acc 0.6722 |
| 2025-05-15 23:51:52,148 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_73.pth was removed |
| 2025-05-15 23:51:53,811 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_81.pth. |
| 2025-05-15 23:51:53,813 - pyskl - INFO - Best top1_acc is 0.6731 at 81 epoch. |
| 2025-05-15 23:51:53,816 - pyskl - INFO - Epoch(val) [81][413] top1_acc: 0.6731, top5_acc: 0.9079, mean_class_accuracy: 0.6722 |
| 2025-05-15 23:52:57,878 - pyskl - INFO - Epoch [82][100/1027] lr: 1.091e-02, eta: 7:41:26, time: 0.641, data_time: 0.262, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9150, loss_cls: 5.0780, loss: 5.0780 |
| 2025-05-15 23:53:35,230 - pyskl - INFO - Epoch [82][200/1027] lr: 1.088e-02, eta: 7:40:45, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7194, top5_acc: 0.9269, loss_cls: 5.2300, loss: 5.2300 |
| 2025-05-15 23:54:13,686 - pyskl - INFO - Epoch [82][300/1027] lr: 1.086e-02, eta: 7:40:06, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6794, top5_acc: 0.9012, loss_cls: 5.4293, loss: 5.4293 |
| 2025-05-15 23:54:51,633 - pyskl - INFO - Epoch [82][400/1027] lr: 1.083e-02, eta: 7:39:26, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6869, top5_acc: 0.8912, loss_cls: 5.4541, loss: 5.4541 |
| 2025-05-15 23:55:29,349 - pyskl - INFO - Epoch [82][500/1027] lr: 1.081e-02, eta: 7:38:45, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7044, top5_acc: 0.9050, loss_cls: 5.2464, loss: 5.2464 |
| 2025-05-15 23:56:06,901 - pyskl - INFO - Epoch [82][600/1027] lr: 1.078e-02, eta: 7:38:05, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6869, top5_acc: 0.8969, loss_cls: 5.2465, loss: 5.2465 |
| 2025-05-15 23:56:44,343 - pyskl - INFO - Epoch [82][700/1027] lr: 1.076e-02, eta: 7:37:24, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6856, top5_acc: 0.8888, loss_cls: 5.3456, loss: 5.3456 |
| 2025-05-15 23:57:22,051 - pyskl - INFO - Epoch [82][800/1027] lr: 1.073e-02, eta: 7:36:44, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6925, top5_acc: 0.9044, loss_cls: 5.3186, loss: 5.3186 |
| 2025-05-15 23:57:59,786 - pyskl - INFO - Epoch [82][900/1027] lr: 1.071e-02, eta: 7:36:04, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6700, top5_acc: 0.8819, loss_cls: 5.3534, loss: 5.3534 |
| 2025-05-15 23:58:37,363 - pyskl - INFO - Epoch [82][1000/1027] lr: 1.068e-02, eta: 7:35:23, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6650, top5_acc: 0.8869, loss_cls: 5.4583, loss: 5.4583 |
| 2025-05-15 23:58:48,568 - pyskl - INFO - Saving checkpoint at 82 epochs |
| 2025-05-15 23:59:26,528 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:59:26,600 - pyskl - INFO - |
| top1_acc 0.6480 |
| top5_acc 0.9053 |
| 2025-05-15 23:59:26,600 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:59:26,608 - pyskl - INFO - |
| mean_acc 0.6477 |
| 2025-05-15 23:59:26,609 - pyskl - INFO - Epoch(val) [82][413] top1_acc: 0.6480, top5_acc: 0.9053, mean_class_accuracy: 0.6477 |
| 2025-05-16 00:00:29,727 - pyskl - INFO - Epoch [83][100/1027] lr: 1.065e-02, eta: 7:34:45, time: 0.631, data_time: 0.257, memory: 7959, top1_acc: 0.7175, top5_acc: 0.9144, loss_cls: 5.0917, loss: 5.0917 |
| 2025-05-16 00:01:06,988 - pyskl - INFO - Epoch [83][200/1027] lr: 1.062e-02, eta: 7:34:04, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7019, top5_acc: 0.9106, loss_cls: 5.2550, loss: 5.2550 |
| 2025-05-16 00:01:44,453 - pyskl - INFO - Epoch [83][300/1027] lr: 1.060e-02, eta: 7:33:24, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7100, top5_acc: 0.9056, loss_cls: 5.2071, loss: 5.2071 |
| 2025-05-16 00:02:21,910 - pyskl - INFO - Epoch [83][400/1027] lr: 1.057e-02, eta: 7:32:43, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7056, top5_acc: 0.9062, loss_cls: 5.1859, loss: 5.1859 |
| 2025-05-16 00:02:59,071 - pyskl - INFO - Epoch [83][500/1027] lr: 1.055e-02, eta: 7:32:02, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6831, top5_acc: 0.9100, loss_cls: 5.3121, loss: 5.3121 |
| 2025-05-16 00:03:36,255 - pyskl - INFO - Epoch [83][600/1027] lr: 1.052e-02, eta: 7:31:22, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6987, top5_acc: 0.9025, loss_cls: 5.4258, loss: 5.4258 |
| 2025-05-16 00:04:13,651 - pyskl - INFO - Epoch [83][700/1027] lr: 1.050e-02, eta: 7:30:41, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7000, top5_acc: 0.9087, loss_cls: 5.2944, loss: 5.2944 |
| 2025-05-16 00:04:51,002 - pyskl - INFO - Epoch [83][800/1027] lr: 1.047e-02, eta: 7:30:01, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7137, top5_acc: 0.9038, loss_cls: 5.2071, loss: 5.2071 |
| 2025-05-16 00:05:28,345 - pyskl - INFO - Epoch [83][900/1027] lr: 1.045e-02, eta: 7:29:20, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6719, top5_acc: 0.8856, loss_cls: 5.4832, loss: 5.4832 |
| 2025-05-16 00:06:05,785 - pyskl - INFO - Epoch [83][1000/1027] lr: 1.042e-02, eta: 7:28:40, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6744, top5_acc: 0.8919, loss_cls: 5.4313, loss: 5.4313 |
| 2025-05-16 00:06:16,713 - pyskl - INFO - Saving checkpoint at 83 epochs |
| 2025-05-16 00:06:53,911 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:06:53,981 - pyskl - INFO - |
| top1_acc 0.6737 |
| top5_acc 0.9117 |
| 2025-05-16 00:06:53,981 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:06:53,989 - pyskl - INFO - |
| mean_acc 0.6719 |
| 2025-05-16 00:06:54,050 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_81.pth was removed |
| 2025-05-16 00:06:55,609 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_83.pth. |
| 2025-05-16 00:06:55,611 - pyskl - INFO - Best top1_acc is 0.6737 at 83 epoch. |
| 2025-05-16 00:06:55,614 - pyskl - INFO - Epoch(val) [83][413] top1_acc: 0.6737, top5_acc: 0.9117, mean_class_accuracy: 0.6719 |
| 2025-05-16 00:07:58,270 - pyskl - INFO - Epoch [84][100/1027] lr: 1.039e-02, eta: 7:28:00, time: 0.627, data_time: 0.253, memory: 7959, top1_acc: 0.7081, top5_acc: 0.9137, loss_cls: 5.2335, loss: 5.2335 |
| 2025-05-16 00:08:35,652 - pyskl - INFO - Epoch [84][200/1027] lr: 1.037e-02, eta: 7:27:20, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7056, top5_acc: 0.9275, loss_cls: 5.1609, loss: 5.1609 |
| 2025-05-16 00:09:13,167 - pyskl - INFO - Epoch [84][300/1027] lr: 1.034e-02, eta: 7:26:39, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9150, loss_cls: 5.1876, loss: 5.1876 |
| 2025-05-16 00:09:50,381 - pyskl - INFO - Epoch [84][400/1027] lr: 1.032e-02, eta: 7:25:59, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7156, top5_acc: 0.9056, loss_cls: 5.2348, loss: 5.2348 |
| 2025-05-16 00:10:27,225 - pyskl - INFO - Epoch [84][500/1027] lr: 1.029e-02, eta: 7:25:18, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.6981, top5_acc: 0.9113, loss_cls: 5.2040, loss: 5.2040 |
| 2025-05-16 00:11:04,411 - pyskl - INFO - Epoch [84][600/1027] lr: 1.026e-02, eta: 7:24:37, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6775, top5_acc: 0.9069, loss_cls: 5.3198, loss: 5.3198 |
| 2025-05-16 00:11:41,991 - pyskl - INFO - Epoch [84][700/1027] lr: 1.024e-02, eta: 7:23:57, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6913, top5_acc: 0.8906, loss_cls: 5.4246, loss: 5.4246 |
| 2025-05-16 00:12:19,739 - pyskl - INFO - Epoch [84][800/1027] lr: 1.021e-02, eta: 7:23:17, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6850, top5_acc: 0.9038, loss_cls: 5.4149, loss: 5.4149 |
| 2025-05-16 00:12:57,349 - pyskl - INFO - Epoch [84][900/1027] lr: 1.019e-02, eta: 7:22:36, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6663, top5_acc: 0.8919, loss_cls: 5.3677, loss: 5.3677 |
| 2025-05-16 00:13:34,599 - pyskl - INFO - Epoch [84][1000/1027] lr: 1.016e-02, eta: 7:21:56, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6669, top5_acc: 0.9019, loss_cls: 5.3826, loss: 5.3826 |
| 2025-05-16 00:13:45,446 - pyskl - INFO - Saving checkpoint at 84 epochs |
| 2025-05-16 00:14:22,997 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:14:23,071 - pyskl - INFO - |
| top1_acc 0.6648 |
| top5_acc 0.9112 |
| 2025-05-16 00:14:23,071 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:14:23,079 - pyskl - INFO - |
| mean_acc 0.6633 |
| 2025-05-16 00:14:23,081 - pyskl - INFO - Epoch(val) [84][413] top1_acc: 0.6648, top5_acc: 0.9112, mean_class_accuracy: 0.6633 |
| 2025-05-16 00:15:26,148 - pyskl - INFO - Epoch [85][100/1027] lr: 1.013e-02, eta: 7:21:17, time: 0.631, data_time: 0.257, memory: 7959, top1_acc: 0.7381, top5_acc: 0.9213, loss_cls: 5.1146, loss: 5.1146 |
| 2025-05-16 00:16:03,529 - pyskl - INFO - Epoch [85][200/1027] lr: 1.011e-02, eta: 7:20:36, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7044, top5_acc: 0.9094, loss_cls: 5.3672, loss: 5.3672 |
| 2025-05-16 00:16:41,086 - pyskl - INFO - Epoch [85][300/1027] lr: 1.008e-02, eta: 7:19:56, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7225, top5_acc: 0.9187, loss_cls: 5.0946, loss: 5.0946 |
| 2025-05-16 00:17:19,550 - pyskl - INFO - Epoch [85][400/1027] lr: 1.006e-02, eta: 7:19:16, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7212, top5_acc: 0.9087, loss_cls: 5.2429, loss: 5.2429 |
| 2025-05-16 00:17:57,068 - pyskl - INFO - Epoch [85][500/1027] lr: 1.003e-02, eta: 7:18:36, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7087, top5_acc: 0.9113, loss_cls: 5.2471, loss: 5.2471 |
| 2025-05-16 00:18:34,404 - pyskl - INFO - Epoch [85][600/1027] lr: 1.001e-02, eta: 7:17:55, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6887, top5_acc: 0.9094, loss_cls: 5.2480, loss: 5.2480 |
| 2025-05-16 00:19:12,293 - pyskl - INFO - Epoch [85][700/1027] lr: 9.983e-03, eta: 7:17:15, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7006, top5_acc: 0.9163, loss_cls: 5.2376, loss: 5.2376 |
| 2025-05-16 00:19:50,231 - pyskl - INFO - Epoch [85][800/1027] lr: 9.958e-03, eta: 7:16:35, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6844, top5_acc: 0.9087, loss_cls: 5.3497, loss: 5.3497 |
| 2025-05-16 00:20:27,588 - pyskl - INFO - Epoch [85][900/1027] lr: 9.933e-03, eta: 7:15:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6869, top5_acc: 0.9000, loss_cls: 5.3873, loss: 5.3873 |
| 2025-05-16 00:21:04,600 - pyskl - INFO - Epoch [85][1000/1027] lr: 9.908e-03, eta: 7:15:14, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.6813, top5_acc: 0.8994, loss_cls: 5.3117, loss: 5.3117 |
| 2025-05-16 00:21:15,602 - pyskl - INFO - Saving checkpoint at 85 epochs |
| 2025-05-16 00:21:53,175 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:21:53,247 - pyskl - INFO - |
| top1_acc 0.6798 |
| top5_acc 0.9145 |
| 2025-05-16 00:21:53,248 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:21:53,256 - pyskl - INFO - |
| mean_acc 0.6789 |
| 2025-05-16 00:21:53,319 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_83.pth was removed |
| 2025-05-16 00:21:54,841 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_85.pth. |
| 2025-05-16 00:21:54,842 - pyskl - INFO - Best top1_acc is 0.6798 at 85 epoch. |
| 2025-05-16 00:21:54,846 - pyskl - INFO - Epoch(val) [85][413] top1_acc: 0.6798, top5_acc: 0.9145, mean_class_accuracy: 0.6789 |
| 2025-05-16 00:22:57,826 - pyskl - INFO - Epoch [86][100/1027] lr: 9.876e-03, eta: 7:14:35, time: 0.630, data_time: 0.255, memory: 7959, top1_acc: 0.7106, top5_acc: 0.9144, loss_cls: 5.2182, loss: 5.2182 |
| 2025-05-16 00:23:35,472 - pyskl - INFO - Epoch [86][200/1027] lr: 9.852e-03, eta: 7:13:54, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7219, top5_acc: 0.9194, loss_cls: 5.1101, loss: 5.1101 |
| 2025-05-16 00:24:13,056 - pyskl - INFO - Epoch [86][300/1027] lr: 9.827e-03, eta: 7:13:14, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7369, top5_acc: 0.9106, loss_cls: 5.1226, loss: 5.1226 |
| 2025-05-16 00:24:50,693 - pyskl - INFO - Epoch [86][400/1027] lr: 9.802e-03, eta: 7:12:34, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7200, top5_acc: 0.9144, loss_cls: 5.1506, loss: 5.1506 |
| 2025-05-16 00:25:28,020 - pyskl - INFO - Epoch [86][500/1027] lr: 9.777e-03, eta: 7:11:53, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7144, top5_acc: 0.9094, loss_cls: 5.0553, loss: 5.0553 |
| 2025-05-16 00:26:05,336 - pyskl - INFO - Epoch [86][600/1027] lr: 9.752e-03, eta: 7:11:13, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7150, top5_acc: 0.9175, loss_cls: 5.0593, loss: 5.0593 |
| 2025-05-16 00:26:42,998 - pyskl - INFO - Epoch [86][700/1027] lr: 9.727e-03, eta: 7:10:33, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7144, top5_acc: 0.9131, loss_cls: 5.1614, loss: 5.1614 |
| 2025-05-16 00:27:20,695 - pyskl - INFO - Epoch [86][800/1027] lr: 9.702e-03, eta: 7:09:53, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7056, top5_acc: 0.9025, loss_cls: 5.2409, loss: 5.2409 |
| 2025-05-16 00:27:58,214 - pyskl - INFO - Epoch [86][900/1027] lr: 9.677e-03, eta: 7:09:12, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6975, top5_acc: 0.8988, loss_cls: 5.3078, loss: 5.3078 |
| 2025-05-16 00:28:36,023 - pyskl - INFO - Epoch [86][1000/1027] lr: 9.653e-03, eta: 7:08:32, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7094, top5_acc: 0.9000, loss_cls: 5.1972, loss: 5.1972 |
| 2025-05-16 00:28:47,011 - pyskl - INFO - Saving checkpoint at 86 epochs |
| 2025-05-16 00:29:24,285 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:29:24,363 - pyskl - INFO - |
| top1_acc 0.6568 |
| top5_acc 0.9039 |
| 2025-05-16 00:29:24,363 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:29:24,371 - pyskl - INFO - |
| mean_acc 0.6609 |
| 2025-05-16 00:29:24,373 - pyskl - INFO - Epoch(val) [86][413] top1_acc: 0.6568, top5_acc: 0.9039, mean_class_accuracy: 0.6609 |
| 2025-05-16 00:30:27,366 - pyskl - INFO - Epoch [87][100/1027] lr: 9.621e-03, eta: 7:07:53, time: 0.630, data_time: 0.257, memory: 7959, top1_acc: 0.7338, top5_acc: 0.9244, loss_cls: 5.2463, loss: 5.2463 |
| 2025-05-16 00:31:04,656 - pyskl - INFO - Epoch [87][200/1027] lr: 9.596e-03, eta: 7:07:12, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7325, top5_acc: 0.9150, loss_cls: 5.1301, loss: 5.1301 |
| 2025-05-16 00:31:42,114 - pyskl - INFO - Epoch [87][300/1027] lr: 9.571e-03, eta: 7:06:32, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7356, top5_acc: 0.9306, loss_cls: 5.0172, loss: 5.0172 |
| 2025-05-16 00:32:19,557 - pyskl - INFO - Epoch [87][400/1027] lr: 9.547e-03, eta: 7:05:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7244, top5_acc: 0.9337, loss_cls: 4.9943, loss: 4.9943 |
| 2025-05-16 00:32:56,822 - pyskl - INFO - Epoch [87][500/1027] lr: 9.522e-03, eta: 7:05:11, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7156, top5_acc: 0.9094, loss_cls: 5.2618, loss: 5.2618 |
| 2025-05-16 00:33:33,992 - pyskl - INFO - Epoch [87][600/1027] lr: 9.497e-03, eta: 7:04:30, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7262, top5_acc: 0.9169, loss_cls: 5.1670, loss: 5.1670 |
| 2025-05-16 00:34:11,357 - pyskl - INFO - Epoch [87][700/1027] lr: 9.472e-03, eta: 7:03:50, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7231, top5_acc: 0.9231, loss_cls: 5.2021, loss: 5.2021 |
| 2025-05-16 00:34:48,650 - pyskl - INFO - Epoch [87][800/1027] lr: 9.448e-03, eta: 7:03:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7131, top5_acc: 0.9056, loss_cls: 5.2758, loss: 5.2758 |
| 2025-05-16 00:35:26,285 - pyskl - INFO - Epoch [87][900/1027] lr: 9.423e-03, eta: 7:02:29, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7019, top5_acc: 0.9087, loss_cls: 5.2419, loss: 5.2419 |
| 2025-05-16 00:36:04,013 - pyskl - INFO - Epoch [87][1000/1027] lr: 9.398e-03, eta: 7:01:49, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6713, top5_acc: 0.9019, loss_cls: 5.3928, loss: 5.3928 |
| 2025-05-16 00:36:14,975 - pyskl - INFO - Saving checkpoint at 87 epochs |
| 2025-05-16 00:36:51,770 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:36:51,843 - pyskl - INFO - |
| top1_acc 0.6642 |
| top5_acc 0.9138 |
| 2025-05-16 00:36:51,843 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:36:51,851 - pyskl - INFO - |
| mean_acc 0.6670 |
| 2025-05-16 00:36:51,853 - pyskl - INFO - Epoch(val) [87][413] top1_acc: 0.6642, top5_acc: 0.9138, mean_class_accuracy: 0.6670 |
| 2025-05-16 00:37:54,644 - pyskl - INFO - Epoch [88][100/1027] lr: 9.367e-03, eta: 7:01:09, time: 0.628, data_time: 0.253, memory: 7959, top1_acc: 0.7431, top5_acc: 0.9156, loss_cls: 5.1966, loss: 5.1966 |
| 2025-05-16 00:38:32,052 - pyskl - INFO - Epoch [88][200/1027] lr: 9.342e-03, eta: 7:00:29, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7175, top5_acc: 0.9163, loss_cls: 5.1301, loss: 5.1301 |
| 2025-05-16 00:39:09,547 - pyskl - INFO - Epoch [88][300/1027] lr: 9.318e-03, eta: 6:59:48, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7356, top5_acc: 0.9294, loss_cls: 4.9874, loss: 4.9874 |
| 2025-05-16 00:39:47,081 - pyskl - INFO - Epoch [88][400/1027] lr: 9.293e-03, eta: 6:59:08, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7231, top5_acc: 0.9150, loss_cls: 5.1632, loss: 5.1632 |
| 2025-05-16 00:40:24,227 - pyskl - INFO - Epoch [88][500/1027] lr: 9.268e-03, eta: 6:58:28, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9213, loss_cls: 5.0592, loss: 5.0592 |
| 2025-05-16 00:41:01,428 - pyskl - INFO - Epoch [88][600/1027] lr: 9.244e-03, eta: 6:57:47, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7288, top5_acc: 0.9087, loss_cls: 5.1794, loss: 5.1794 |
| 2025-05-16 00:41:38,629 - pyskl - INFO - Epoch [88][700/1027] lr: 9.219e-03, eta: 6:57:07, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7375, top5_acc: 0.9194, loss_cls: 5.1315, loss: 5.1315 |
| 2025-05-16 00:42:16,000 - pyskl - INFO - Epoch [88][800/1027] lr: 9.195e-03, eta: 6:56:26, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7019, top5_acc: 0.9119, loss_cls: 5.1817, loss: 5.1817 |
| 2025-05-16 00:42:53,357 - pyskl - INFO - Epoch [88][900/1027] lr: 9.170e-03, eta: 6:55:46, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7037, top5_acc: 0.9025, loss_cls: 5.2916, loss: 5.2916 |
| 2025-05-16 00:43:30,853 - pyskl - INFO - Epoch [88][1000/1027] lr: 9.145e-03, eta: 6:55:06, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7106, top5_acc: 0.9081, loss_cls: 5.1617, loss: 5.1617 |
| 2025-05-16 00:43:41,703 - pyskl - INFO - Saving checkpoint at 88 epochs |
| 2025-05-16 00:44:19,156 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:44:19,226 - pyskl - INFO - |
| top1_acc 0.6621 |
| top5_acc 0.9059 |
| 2025-05-16 00:44:19,227 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:44:19,235 - pyskl - INFO - |
| mean_acc 0.6621 |
| 2025-05-16 00:44:19,236 - pyskl - INFO - Epoch(val) [88][413] top1_acc: 0.6621, top5_acc: 0.9059, mean_class_accuracy: 0.6621 |
| 2025-05-16 00:45:22,299 - pyskl - INFO - Epoch [89][100/1027] lr: 9.114e-03, eta: 6:54:26, time: 0.631, data_time: 0.256, memory: 7959, top1_acc: 0.7538, top5_acc: 0.9225, loss_cls: 4.9992, loss: 4.9992 |
| 2025-05-16 00:45:59,661 - pyskl - INFO - Epoch [89][200/1027] lr: 9.090e-03, eta: 6:53:45, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9275, loss_cls: 5.0776, loss: 5.0776 |
| 2025-05-16 00:46:37,207 - pyskl - INFO - Epoch [89][300/1027] lr: 9.065e-03, eta: 6:53:05, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9275, loss_cls: 5.0666, loss: 5.0666 |
| 2025-05-16 00:47:14,660 - pyskl - INFO - Epoch [89][400/1027] lr: 9.041e-03, eta: 6:52:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7469, top5_acc: 0.9313, loss_cls: 4.9714, loss: 4.9714 |
| 2025-05-16 00:47:51,866 - pyskl - INFO - Epoch [89][500/1027] lr: 9.016e-03, eta: 6:51:44, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7163, top5_acc: 0.9150, loss_cls: 5.1233, loss: 5.1233 |
| 2025-05-16 00:48:29,255 - pyskl - INFO - Epoch [89][600/1027] lr: 8.992e-03, eta: 6:51:04, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7269, top5_acc: 0.9181, loss_cls: 5.1446, loss: 5.1446 |
| 2025-05-16 00:49:06,566 - pyskl - INFO - Epoch [89][700/1027] lr: 8.967e-03, eta: 6:50:24, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7025, top5_acc: 0.9069, loss_cls: 5.2247, loss: 5.2247 |
| 2025-05-16 00:49:44,007 - pyskl - INFO - Epoch [89][800/1027] lr: 8.943e-03, eta: 6:49:43, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7225, top5_acc: 0.9175, loss_cls: 5.2186, loss: 5.2186 |
| 2025-05-16 00:50:21,619 - pyskl - INFO - Epoch [89][900/1027] lr: 8.918e-03, eta: 6:49:03, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7125, top5_acc: 0.9056, loss_cls: 5.1680, loss: 5.1680 |
| 2025-05-16 00:50:59,322 - pyskl - INFO - Epoch [89][1000/1027] lr: 8.894e-03, eta: 6:48:23, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7238, top5_acc: 0.9144, loss_cls: 5.2003, loss: 5.2003 |
| 2025-05-16 00:51:10,271 - pyskl - INFO - Saving checkpoint at 89 epochs |
| 2025-05-16 00:51:47,054 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:51:47,126 - pyskl - INFO - |
| top1_acc 0.6648 |
| top5_acc 0.9091 |
| 2025-05-16 00:51:47,127 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:51:47,134 - pyskl - INFO - |
| mean_acc 0.6641 |
| 2025-05-16 00:51:47,136 - pyskl - INFO - Epoch(val) [89][413] top1_acc: 0.6648, top5_acc: 0.9091, mean_class_accuracy: 0.6641 |
| 2025-05-16 00:52:50,214 - pyskl - INFO - Epoch [90][100/1027] lr: 8.863e-03, eta: 6:47:43, time: 0.631, data_time: 0.256, memory: 7959, top1_acc: 0.7444, top5_acc: 0.9300, loss_cls: 4.9430, loss: 4.9430 |
| 2025-05-16 00:53:27,521 - pyskl - INFO - Epoch [90][200/1027] lr: 8.839e-03, eta: 6:47:02, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7456, top5_acc: 0.9225, loss_cls: 4.9815, loss: 4.9815 |
| 2025-05-16 00:54:05,069 - pyskl - INFO - Epoch [90][300/1027] lr: 8.814e-03, eta: 6:46:22, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7406, top5_acc: 0.9263, loss_cls: 5.0223, loss: 5.0223 |
| 2025-05-16 00:54:42,562 - pyskl - INFO - Epoch [90][400/1027] lr: 8.790e-03, eta: 6:45:42, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7406, top5_acc: 0.9206, loss_cls: 5.0129, loss: 5.0129 |
| 2025-05-16 00:55:19,794 - pyskl - INFO - Epoch [90][500/1027] lr: 8.766e-03, eta: 6:45:02, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7231, top5_acc: 0.9175, loss_cls: 5.0409, loss: 5.0409 |
| 2025-05-16 00:55:57,031 - pyskl - INFO - Epoch [90][600/1027] lr: 8.741e-03, eta: 6:44:21, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7362, top5_acc: 0.9181, loss_cls: 5.0406, loss: 5.0406 |
| 2025-05-16 00:56:34,326 - pyskl - INFO - Epoch [90][700/1027] lr: 8.717e-03, eta: 6:43:41, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9313, loss_cls: 4.9977, loss: 4.9977 |
| 2025-05-16 00:57:11,926 - pyskl - INFO - Epoch [90][800/1027] lr: 8.693e-03, eta: 6:43:01, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7362, top5_acc: 0.9187, loss_cls: 5.1249, loss: 5.1249 |
| 2025-05-16 00:57:49,661 - pyskl - INFO - Epoch [90][900/1027] lr: 8.668e-03, eta: 6:42:21, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7200, top5_acc: 0.9225, loss_cls: 5.1322, loss: 5.1322 |
| 2025-05-16 00:58:27,454 - pyskl - INFO - Epoch [90][1000/1027] lr: 8.644e-03, eta: 6:41:41, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7356, top5_acc: 0.9219, loss_cls: 5.0950, loss: 5.0950 |
| 2025-05-16 00:58:38,392 - pyskl - INFO - Saving checkpoint at 90 epochs |
| 2025-05-16 00:59:15,243 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:59:15,313 - pyskl - INFO - |
| top1_acc 0.6836 |
| top5_acc 0.9164 |
| 2025-05-16 00:59:15,313 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:59:15,320 - pyskl - INFO - |
| mean_acc 0.6812 |
| 2025-05-16 00:59:15,379 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_85.pth was removed |
| 2025-05-16 00:59:16,873 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_90.pth. |
| 2025-05-16 00:59:16,875 - pyskl - INFO - Best top1_acc is 0.6836 at 90 epoch. |
| 2025-05-16 00:59:16,878 - pyskl - INFO - Epoch(val) [90][413] top1_acc: 0.6836, top5_acc: 0.9164, mean_class_accuracy: 0.6812 |
| 2025-05-16 01:00:19,638 - pyskl - INFO - Epoch [91][100/1027] lr: 8.613e-03, eta: 6:41:00, time: 0.628, data_time: 0.255, memory: 7959, top1_acc: 0.7588, top5_acc: 0.9375, loss_cls: 4.8689, loss: 4.8689 |
| 2025-05-16 01:00:57,028 - pyskl - INFO - Epoch [91][200/1027] lr: 8.589e-03, eta: 6:40:20, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7594, top5_acc: 0.9287, loss_cls: 5.0062, loss: 5.0062 |
| 2025-05-16 01:01:34,578 - pyskl - INFO - Epoch [91][300/1027] lr: 8.565e-03, eta: 6:39:40, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7450, top5_acc: 0.9250, loss_cls: 4.9785, loss: 4.9785 |
| 2025-05-16 01:02:12,157 - pyskl - INFO - Epoch [91][400/1027] lr: 8.541e-03, eta: 6:39:00, time: 0.376, data_time: 0.001, memory: 7959, top1_acc: 0.7238, top5_acc: 0.9206, loss_cls: 5.0372, loss: 5.0372 |
| 2025-05-16 01:02:49,401 - pyskl - INFO - Epoch [91][500/1027] lr: 8.517e-03, eta: 6:38:19, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7362, top5_acc: 0.9225, loss_cls: 5.1113, loss: 5.1113 |
| 2025-05-16 01:03:26,658 - pyskl - INFO - Epoch [91][600/1027] lr: 8.492e-03, eta: 6:37:39, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7225, top5_acc: 0.9225, loss_cls: 5.0425, loss: 5.0425 |
| 2025-05-16 01:04:03,672 - pyskl - INFO - Epoch [91][700/1027] lr: 8.468e-03, eta: 6:36:58, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.7256, top5_acc: 0.9175, loss_cls: 4.9745, loss: 4.9745 |
| 2025-05-16 01:04:41,328 - pyskl - INFO - Epoch [91][800/1027] lr: 8.444e-03, eta: 6:36:18, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7206, top5_acc: 0.9206, loss_cls: 5.1465, loss: 5.1465 |
| 2025-05-16 01:05:18,979 - pyskl - INFO - Epoch [91][900/1027] lr: 8.420e-03, eta: 6:35:38, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7288, top5_acc: 0.9256, loss_cls: 5.0289, loss: 5.0289 |
| 2025-05-16 01:05:56,573 - pyskl - INFO - Epoch [91][1000/1027] lr: 8.396e-03, eta: 6:34:58, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7219, top5_acc: 0.9125, loss_cls: 5.1465, loss: 5.1465 |
| 2025-05-16 01:06:07,379 - pyskl - INFO - Saving checkpoint at 91 epochs |
| 2025-05-16 01:06:44,307 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:06:44,379 - pyskl - INFO - |
| top1_acc 0.6757 |
| top5_acc 0.9135 |
| 2025-05-16 01:06:44,379 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:06:44,386 - pyskl - INFO - |
| mean_acc 0.6765 |
| 2025-05-16 01:06:44,388 - pyskl - INFO - Epoch(val) [91][413] top1_acc: 0.6757, top5_acc: 0.9135, mean_class_accuracy: 0.6765 |
| 2025-05-16 01:07:46,684 - pyskl - INFO - Epoch [92][100/1027] lr: 8.365e-03, eta: 6:34:17, time: 0.623, data_time: 0.252, memory: 7959, top1_acc: 0.7662, top5_acc: 0.9319, loss_cls: 4.7981, loss: 4.7981 |
| 2025-05-16 01:08:23,562 - pyskl - INFO - Epoch [92][200/1027] lr: 8.341e-03, eta: 6:33:36, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.7675, top5_acc: 0.9475, loss_cls: 4.8259, loss: 4.8259 |
| 2025-05-16 01:09:01,129 - pyskl - INFO - Epoch [92][300/1027] lr: 8.317e-03, eta: 6:32:56, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7288, top5_acc: 0.9269, loss_cls: 5.0470, loss: 5.0470 |
| 2025-05-16 01:09:38,885 - pyskl - INFO - Epoch [92][400/1027] lr: 8.293e-03, eta: 6:32:16, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7594, top5_acc: 0.9356, loss_cls: 4.9381, loss: 4.9381 |
| 2025-05-16 01:10:16,381 - pyskl - INFO - Epoch [92][500/1027] lr: 8.269e-03, eta: 6:31:36, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9213, loss_cls: 4.9407, loss: 4.9407 |
| 2025-05-16 01:10:53,805 - pyskl - INFO - Epoch [92][600/1027] lr: 8.245e-03, eta: 6:30:56, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7175, top5_acc: 0.9144, loss_cls: 5.1156, loss: 5.1156 |
| 2025-05-16 01:11:31,421 - pyskl - INFO - Epoch [92][700/1027] lr: 8.221e-03, eta: 6:30:16, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7231, top5_acc: 0.9213, loss_cls: 5.0180, loss: 5.0180 |
| 2025-05-16 01:12:09,052 - pyskl - INFO - Epoch [92][800/1027] lr: 8.197e-03, eta: 6:29:36, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7212, top5_acc: 0.9219, loss_cls: 5.1436, loss: 5.1436 |
| 2025-05-16 01:12:47,063 - pyskl - INFO - Epoch [92][900/1027] lr: 8.173e-03, eta: 6:28:56, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7388, top5_acc: 0.9194, loss_cls: 5.0264, loss: 5.0264 |
| 2025-05-16 01:13:24,682 - pyskl - INFO - Epoch [92][1000/1027] lr: 8.150e-03, eta: 6:28:16, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7462, top5_acc: 0.9306, loss_cls: 4.9412, loss: 4.9412 |
| 2025-05-16 01:13:35,809 - pyskl - INFO - Saving checkpoint at 92 epochs |
| 2025-05-16 01:14:13,059 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:14:13,131 - pyskl - INFO - |
| top1_acc 0.6807 |
| top5_acc 0.9124 |
| 2025-05-16 01:14:13,132 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:14:13,140 - pyskl - INFO - |
| mean_acc 0.6815 |
| 2025-05-16 01:14:13,142 - pyskl - INFO - Epoch(val) [92][413] top1_acc: 0.6807, top5_acc: 0.9124, mean_class_accuracy: 0.6815 |
| 2025-05-16 01:15:16,691 - pyskl - INFO - Epoch [93][100/1027] lr: 8.119e-03, eta: 6:27:35, time: 0.635, data_time: 0.258, memory: 7959, top1_acc: 0.7806, top5_acc: 0.9463, loss_cls: 4.9210, loss: 4.9210 |
| 2025-05-16 01:15:54,527 - pyskl - INFO - Epoch [93][200/1027] lr: 8.095e-03, eta: 6:26:55, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7706, top5_acc: 0.9387, loss_cls: 4.8847, loss: 4.8847 |
| 2025-05-16 01:16:32,299 - pyskl - INFO - Epoch [93][300/1027] lr: 8.071e-03, eta: 6:26:15, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7700, top5_acc: 0.9381, loss_cls: 4.8365, loss: 4.8365 |
| 2025-05-16 01:17:10,078 - pyskl - INFO - Epoch [93][400/1027] lr: 8.048e-03, eta: 6:25:35, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7494, top5_acc: 0.9363, loss_cls: 4.9599, loss: 4.9599 |
| 2025-05-16 01:17:47,374 - pyskl - INFO - Epoch [93][500/1027] lr: 8.024e-03, eta: 6:24:55, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7544, top5_acc: 0.9281, loss_cls: 4.8894, loss: 4.8894 |
| 2025-05-16 01:18:24,263 - pyskl - INFO - Epoch [93][600/1027] lr: 8.000e-03, eta: 6:24:15, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.7450, top5_acc: 0.9250, loss_cls: 4.9567, loss: 4.9567 |
| 2025-05-16 01:19:01,343 - pyskl - INFO - Epoch [93][700/1027] lr: 7.976e-03, eta: 6:23:34, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.7606, top5_acc: 0.9287, loss_cls: 4.9550, loss: 4.9550 |
| 2025-05-16 01:19:39,110 - pyskl - INFO - Epoch [93][800/1027] lr: 7.953e-03, eta: 6:22:54, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7412, top5_acc: 0.9306, loss_cls: 5.0856, loss: 5.0856 |
| 2025-05-16 01:20:16,878 - pyskl - INFO - Epoch [93][900/1027] lr: 7.929e-03, eta: 6:22:14, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7294, top5_acc: 0.9263, loss_cls: 5.0736, loss: 5.0736 |
| 2025-05-16 01:20:54,588 - pyskl - INFO - Epoch [93][1000/1027] lr: 7.905e-03, eta: 6:21:34, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9231, loss_cls: 4.9222, loss: 4.9222 |
| 2025-05-16 01:21:05,584 - pyskl - INFO - Saving checkpoint at 93 epochs |
| 2025-05-16 01:21:43,381 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:21:43,453 - pyskl - INFO - |
| top1_acc 0.6721 |
| top5_acc 0.9118 |
| 2025-05-16 01:21:43,453 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:21:43,462 - pyskl - INFO - |
| mean_acc 0.6746 |
| 2025-05-16 01:21:43,464 - pyskl - INFO - Epoch(val) [93][413] top1_acc: 0.6721, top5_acc: 0.9118, mean_class_accuracy: 0.6746 |
| 2025-05-16 01:22:47,095 - pyskl - INFO - Epoch [94][100/1027] lr: 7.875e-03, eta: 6:20:53, time: 0.636, data_time: 0.261, memory: 7959, top1_acc: 0.7863, top5_acc: 0.9463, loss_cls: 4.7899, loss: 4.7899 |
| 2025-05-16 01:23:24,634 - pyskl - INFO - Epoch [94][200/1027] lr: 7.851e-03, eta: 6:20:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7806, top5_acc: 0.9550, loss_cls: 4.8617, loss: 4.8617 |
| 2025-05-16 01:24:02,197 - pyskl - INFO - Epoch [94][300/1027] lr: 7.828e-03, eta: 6:19:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7700, top5_acc: 0.9369, loss_cls: 4.8616, loss: 4.8616 |
| 2025-05-16 01:24:39,697 - pyskl - INFO - Epoch [94][400/1027] lr: 7.804e-03, eta: 6:18:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7619, top5_acc: 0.9281, loss_cls: 4.8279, loss: 4.8279 |
| 2025-05-16 01:25:17,103 - pyskl - INFO - Epoch [94][500/1027] lr: 7.780e-03, eta: 6:18:13, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7581, top5_acc: 0.9400, loss_cls: 4.8355, loss: 4.8355 |
| 2025-05-16 01:25:54,432 - pyskl - INFO - Epoch [94][600/1027] lr: 7.757e-03, eta: 6:17:33, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7362, top5_acc: 0.9231, loss_cls: 5.0022, loss: 5.0022 |
| 2025-05-16 01:26:31,931 - pyskl - INFO - Epoch [94][700/1027] lr: 7.733e-03, eta: 6:16:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7525, top5_acc: 0.9331, loss_cls: 5.0905, loss: 5.0905 |
| 2025-05-16 01:27:09,509 - pyskl - INFO - Epoch [94][800/1027] lr: 7.710e-03, eta: 6:16:13, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7775, top5_acc: 0.9287, loss_cls: 4.9023, loss: 4.9023 |
| 2025-05-16 01:27:47,453 - pyskl - INFO - Epoch [94][900/1027] lr: 7.686e-03, eta: 6:15:33, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7525, top5_acc: 0.9344, loss_cls: 4.9902, loss: 4.9902 |
| 2025-05-16 01:28:25,233 - pyskl - INFO - Epoch [94][1000/1027] lr: 7.663e-03, eta: 6:14:53, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7575, top5_acc: 0.9187, loss_cls: 5.0330, loss: 5.0330 |
| 2025-05-16 01:28:36,264 - pyskl - INFO - Saving checkpoint at 94 epochs |
| 2025-05-16 01:29:13,835 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:29:13,907 - pyskl - INFO - |
| top1_acc 0.6677 |
| top5_acc 0.9086 |
| 2025-05-16 01:29:13,907 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:29:13,915 - pyskl - INFO - |
| mean_acc 0.6690 |
| 2025-05-16 01:29:13,916 - pyskl - INFO - Epoch(val) [94][413] top1_acc: 0.6677, top5_acc: 0.9086, mean_class_accuracy: 0.6690 |
| 2025-05-16 01:30:17,321 - pyskl - INFO - Epoch [95][100/1027] lr: 7.633e-03, eta: 6:14:12, time: 0.634, data_time: 0.256, memory: 7959, top1_acc: 0.8125, top5_acc: 0.9556, loss_cls: 4.7108, loss: 4.7108 |
| 2025-05-16 01:30:54,958 - pyskl - INFO - Epoch [95][200/1027] lr: 7.609e-03, eta: 6:13:32, time: 0.376, data_time: 0.001, memory: 7959, top1_acc: 0.7931, top5_acc: 0.9481, loss_cls: 4.7477, loss: 4.7477 |
| 2025-05-16 01:31:32,516 - pyskl - INFO - Epoch [95][300/1027] lr: 7.586e-03, eta: 6:12:52, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7681, top5_acc: 0.9475, loss_cls: 4.9076, loss: 4.9076 |
| 2025-05-16 01:32:10,189 - pyskl - INFO - Epoch [95][400/1027] lr: 7.562e-03, eta: 6:12:12, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7719, top5_acc: 0.9400, loss_cls: 4.7750, loss: 4.7750 |
| 2025-05-16 01:32:47,567 - pyskl - INFO - Epoch [95][500/1027] lr: 7.539e-03, eta: 6:11:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7694, top5_acc: 0.9419, loss_cls: 4.8098, loss: 4.8098 |
| 2025-05-16 01:33:24,886 - pyskl - INFO - Epoch [95][600/1027] lr: 7.516e-03, eta: 6:10:51, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7662, top5_acc: 0.9369, loss_cls: 4.7199, loss: 4.7199 |
| 2025-05-16 01:34:02,409 - pyskl - INFO - Epoch [95][700/1027] lr: 7.492e-03, eta: 6:10:11, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7394, top5_acc: 0.9300, loss_cls: 4.9846, loss: 4.9846 |
| 2025-05-16 01:34:40,245 - pyskl - INFO - Epoch [95][800/1027] lr: 7.469e-03, eta: 6:09:32, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7488, top5_acc: 0.9306, loss_cls: 4.9348, loss: 4.9348 |
| 2025-05-16 01:35:18,284 - pyskl - INFO - Epoch [95][900/1027] lr: 7.446e-03, eta: 6:08:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7462, top5_acc: 0.9406, loss_cls: 5.0109, loss: 5.0109 |
| 2025-05-16 01:35:56,013 - pyskl - INFO - Epoch [95][1000/1027] lr: 7.422e-03, eta: 6:08:12, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7375, top5_acc: 0.9213, loss_cls: 5.0498, loss: 5.0498 |
| 2025-05-16 01:36:06,879 - pyskl - INFO - Saving checkpoint at 95 epochs |
| 2025-05-16 01:36:44,463 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:36:44,534 - pyskl - INFO - |
| top1_acc 0.6909 |
| top5_acc 0.9218 |
| 2025-05-16 01:36:44,535 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:36:44,542 - pyskl - INFO - |
| mean_acc 0.6911 |
| 2025-05-16 01:36:44,600 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_90.pth was removed |
| 2025-05-16 01:36:46,091 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_95.pth. |
| 2025-05-16 01:36:46,092 - pyskl - INFO - Best top1_acc is 0.6909 at 95 epoch. |
| 2025-05-16 01:36:46,096 - pyskl - INFO - Epoch(val) [95][413] top1_acc: 0.6909, top5_acc: 0.9218, mean_class_accuracy: 0.6911 |
| 2025-05-16 01:37:49,630 - pyskl - INFO - Epoch [96][100/1027] lr: 7.393e-03, eta: 6:07:30, time: 0.635, data_time: 0.258, memory: 7959, top1_acc: 0.7900, top5_acc: 0.9487, loss_cls: 4.7666, loss: 4.7666 |
| 2025-05-16 01:38:27,314 - pyskl - INFO - Epoch [96][200/1027] lr: 7.369e-03, eta: 6:06:50, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7963, top5_acc: 0.9494, loss_cls: 4.7452, loss: 4.7452 |
| 2025-05-16 01:39:05,116 - pyskl - INFO - Epoch [96][300/1027] lr: 7.346e-03, eta: 6:06:11, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7869, top5_acc: 0.9487, loss_cls: 4.7488, loss: 4.7488 |
| 2025-05-16 01:39:42,644 - pyskl - INFO - Epoch [96][400/1027] lr: 7.323e-03, eta: 6:05:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7656, top5_acc: 0.9406, loss_cls: 4.8606, loss: 4.8606 |
| 2025-05-16 01:40:19,525 - pyskl - INFO - Epoch [96][500/1027] lr: 7.300e-03, eta: 6:04:50, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.7706, top5_acc: 0.9363, loss_cls: 4.8364, loss: 4.8364 |
| 2025-05-16 01:40:56,392 - pyskl - INFO - Epoch [96][600/1027] lr: 7.277e-03, eta: 6:04:10, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.7675, top5_acc: 0.9363, loss_cls: 4.8865, loss: 4.8865 |
| 2025-05-16 01:41:33,606 - pyskl - INFO - Epoch [96][700/1027] lr: 7.254e-03, eta: 6:03:30, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7731, top5_acc: 0.9375, loss_cls: 4.7865, loss: 4.7865 |
| 2025-05-16 01:42:11,154 - pyskl - INFO - Epoch [96][800/1027] lr: 7.230e-03, eta: 6:02:50, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7731, top5_acc: 0.9375, loss_cls: 4.8869, loss: 4.8869 |
| 2025-05-16 01:42:49,088 - pyskl - INFO - Epoch [96][900/1027] lr: 7.207e-03, eta: 6:02:10, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7562, top5_acc: 0.9381, loss_cls: 4.7702, loss: 4.7702 |
| 2025-05-16 01:43:27,051 - pyskl - INFO - Epoch [96][1000/1027] lr: 7.184e-03, eta: 6:01:30, time: 0.380, data_time: 0.001, memory: 7959, top1_acc: 0.7362, top5_acc: 0.9225, loss_cls: 4.9796, loss: 4.9796 |
| 2025-05-16 01:43:37,947 - pyskl - INFO - Saving checkpoint at 96 epochs |
| 2025-05-16 01:44:15,696 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:44:15,769 - pyskl - INFO - |
| top1_acc 0.6821 |
| top5_acc 0.9194 |
| 2025-05-16 01:44:15,770 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:44:15,777 - pyskl - INFO - |
| mean_acc 0.6819 |
| 2025-05-16 01:44:15,779 - pyskl - INFO - Epoch(val) [96][413] top1_acc: 0.6821, top5_acc: 0.9194, mean_class_accuracy: 0.6819 |
| 2025-05-16 01:45:18,863 - pyskl - INFO - Epoch [97][100/1027] lr: 7.155e-03, eta: 6:00:48, time: 0.631, data_time: 0.254, memory: 7959, top1_acc: 0.7913, top5_acc: 0.9425, loss_cls: 4.6616, loss: 4.6616 |
| 2025-05-16 01:45:56,515 - pyskl - INFO - Epoch [97][200/1027] lr: 7.132e-03, eta: 6:00:08, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7975, top5_acc: 0.9525, loss_cls: 4.6789, loss: 4.6789 |
| 2025-05-16 01:46:33,979 - pyskl - INFO - Epoch [97][300/1027] lr: 7.109e-03, eta: 5:59:28, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7812, top5_acc: 0.9519, loss_cls: 4.8092, loss: 4.8092 |
| 2025-05-16 01:47:11,511 - pyskl - INFO - Epoch [97][400/1027] lr: 7.086e-03, eta: 5:58:48, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7844, top5_acc: 0.9544, loss_cls: 4.7658, loss: 4.7658 |
| 2025-05-16 01:47:48,898 - pyskl - INFO - Epoch [97][500/1027] lr: 7.063e-03, eta: 5:58:08, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7919, top5_acc: 0.9419, loss_cls: 4.8193, loss: 4.8193 |
| 2025-05-16 01:48:26,517 - pyskl - INFO - Epoch [97][600/1027] lr: 7.040e-03, eta: 5:57:28, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7706, top5_acc: 0.9337, loss_cls: 4.8064, loss: 4.8064 |
| 2025-05-16 01:49:03,981 - pyskl - INFO - Epoch [97][700/1027] lr: 7.017e-03, eta: 5:56:48, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7906, top5_acc: 0.9494, loss_cls: 4.7482, loss: 4.7482 |
| 2025-05-16 01:49:41,542 - pyskl - INFO - Epoch [97][800/1027] lr: 6.994e-03, eta: 5:56:08, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7744, top5_acc: 0.9344, loss_cls: 4.9232, loss: 4.9232 |
| 2025-05-16 01:50:19,162 - pyskl - INFO - Epoch [97][900/1027] lr: 6.971e-03, eta: 5:55:28, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7506, top5_acc: 0.9306, loss_cls: 4.9567, loss: 4.9567 |
| 2025-05-16 01:50:56,947 - pyskl - INFO - Epoch [97][1000/1027] lr: 6.948e-03, eta: 5:54:49, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7550, top5_acc: 0.9337, loss_cls: 4.9842, loss: 4.9842 |
| 2025-05-16 01:51:07,822 - pyskl - INFO - Saving checkpoint at 97 epochs |
| 2025-05-16 01:51:45,154 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:51:45,226 - pyskl - INFO - |
| top1_acc 0.6925 |
| top5_acc 0.9171 |
| 2025-05-16 01:51:45,226 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:51:45,235 - pyskl - INFO - |
| mean_acc 0.6928 |
| 2025-05-16 01:51:45,293 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_95.pth was removed |
| 2025-05-16 01:51:46,827 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. |
| 2025-05-16 01:51:46,828 - pyskl - INFO - Best top1_acc is 0.6925 at 97 epoch. |
| 2025-05-16 01:51:46,831 - pyskl - INFO - Epoch(val) [97][413] top1_acc: 0.6925, top5_acc: 0.9171, mean_class_accuracy: 0.6928 |
| 2025-05-16 01:52:50,260 - pyskl - INFO - Epoch [98][100/1027] lr: 6.919e-03, eta: 5:54:06, time: 0.634, data_time: 0.257, memory: 7959, top1_acc: 0.8237, top5_acc: 0.9556, loss_cls: 4.5422, loss: 4.5422 |
| 2025-05-16 01:53:28,276 - pyskl - INFO - Epoch [98][200/1027] lr: 6.897e-03, eta: 5:53:27, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7963, top5_acc: 0.9500, loss_cls: 4.6965, loss: 4.6965 |
| 2025-05-16 01:54:06,028 - pyskl - INFO - Epoch [98][300/1027] lr: 6.874e-03, eta: 5:52:47, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7856, top5_acc: 0.9444, loss_cls: 4.6828, loss: 4.6828 |
| 2025-05-16 01:54:43,821 - pyskl - INFO - Epoch [98][400/1027] lr: 6.851e-03, eta: 5:52:07, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7881, top5_acc: 0.9481, loss_cls: 4.7525, loss: 4.7525 |
| 2025-05-16 01:55:21,107 - pyskl - INFO - Epoch [98][500/1027] lr: 6.828e-03, eta: 5:51:27, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7825, top5_acc: 0.9494, loss_cls: 4.7476, loss: 4.7476 |
| 2025-05-16 01:55:58,428 - pyskl - INFO - Epoch [98][600/1027] lr: 6.806e-03, eta: 5:50:47, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7850, top5_acc: 0.9469, loss_cls: 4.7003, loss: 4.7003 |
| 2025-05-16 01:56:36,182 - pyskl - INFO - Epoch [98][700/1027] lr: 6.783e-03, eta: 5:50:07, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7788, top5_acc: 0.9375, loss_cls: 4.8015, loss: 4.8015 |
| 2025-05-16 01:57:13,991 - pyskl - INFO - Epoch [98][800/1027] lr: 6.760e-03, eta: 5:49:27, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7694, top5_acc: 0.9431, loss_cls: 4.7942, loss: 4.7942 |
| 2025-05-16 01:57:51,696 - pyskl - INFO - Epoch [98][900/1027] lr: 6.738e-03, eta: 5:48:47, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7856, top5_acc: 0.9413, loss_cls: 4.6565, loss: 4.6565 |
| 2025-05-16 01:58:29,464 - pyskl - INFO - Epoch [98][1000/1027] lr: 6.715e-03, eta: 5:48:08, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7638, top5_acc: 0.9400, loss_cls: 4.8731, loss: 4.8731 |
| 2025-05-16 01:58:40,341 - pyskl - INFO - Saving checkpoint at 98 epochs |
| 2025-05-16 01:59:17,963 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:59:18,035 - pyskl - INFO - |
| top1_acc 0.6724 |
| top5_acc 0.9095 |
| 2025-05-16 01:59:18,035 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:59:18,042 - pyskl - INFO - |
| mean_acc 0.6681 |
| 2025-05-16 01:59:18,044 - pyskl - INFO - Epoch(val) [98][413] top1_acc: 0.6724, top5_acc: 0.9095, mean_class_accuracy: 0.6681 |
| 2025-05-16 02:00:21,057 - pyskl - INFO - Epoch [99][100/1027] lr: 6.686e-03, eta: 5:47:25, time: 0.630, data_time: 0.252, memory: 7959, top1_acc: 0.8231, top5_acc: 0.9613, loss_cls: 4.6044, loss: 4.6044 |
| 2025-05-16 02:00:58,896 - pyskl - INFO - Epoch [99][200/1027] lr: 6.664e-03, eta: 5:46:45, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8019, top5_acc: 0.9519, loss_cls: 4.5770, loss: 4.5770 |
| 2025-05-16 02:01:36,706 - pyskl - INFO - Epoch [99][300/1027] lr: 6.641e-03, eta: 5:46:06, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7919, top5_acc: 0.9425, loss_cls: 4.6814, loss: 4.6814 |
| 2025-05-16 02:02:14,431 - pyskl - INFO - Epoch [99][400/1027] lr: 6.619e-03, eta: 5:45:26, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7950, top5_acc: 0.9550, loss_cls: 4.6972, loss: 4.6972 |
| 2025-05-16 02:02:51,990 - pyskl - INFO - Epoch [99][500/1027] lr: 6.596e-03, eta: 5:44:46, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7688, top5_acc: 0.9475, loss_cls: 4.8655, loss: 4.8655 |
| 2025-05-16 02:03:29,481 - pyskl - INFO - Epoch [99][600/1027] lr: 6.574e-03, eta: 5:44:06, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7900, top5_acc: 0.9463, loss_cls: 4.6847, loss: 4.6847 |
| 2025-05-16 02:04:06,942 - pyskl - INFO - Epoch [99][700/1027] lr: 6.551e-03, eta: 5:43:26, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7712, top5_acc: 0.9369, loss_cls: 4.7760, loss: 4.7760 |
| 2025-05-16 02:04:44,498 - pyskl - INFO - Epoch [99][800/1027] lr: 6.529e-03, eta: 5:42:46, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7719, top5_acc: 0.9394, loss_cls: 4.8115, loss: 4.8115 |
| 2025-05-16 02:05:22,343 - pyskl - INFO - Epoch [99][900/1027] lr: 6.507e-03, eta: 5:42:06, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7906, top5_acc: 0.9450, loss_cls: 4.7469, loss: 4.7469 |
| 2025-05-16 02:06:00,549 - pyskl - INFO - Epoch [99][1000/1027] lr: 6.484e-03, eta: 5:41:27, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7700, top5_acc: 0.9444, loss_cls: 4.7618, loss: 4.7618 |
| 2025-05-16 02:06:11,469 - pyskl - INFO - Saving checkpoint at 99 epochs |
| 2025-05-16 02:06:49,142 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:06:49,215 - pyskl - INFO - |
| top1_acc 0.6828 |
| top5_acc 0.9138 |
| 2025-05-16 02:06:49,216 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:06:49,224 - pyskl - INFO - |
| mean_acc 0.6819 |
| 2025-05-16 02:06:49,228 - pyskl - INFO - Epoch(val) [99][413] top1_acc: 0.6828, top5_acc: 0.9138, mean_class_accuracy: 0.6819 |
| 2025-05-16 02:07:52,494 - pyskl - INFO - Epoch [100][100/1027] lr: 6.456e-03, eta: 5:40:44, time: 0.633, data_time: 0.256, memory: 7959, top1_acc: 0.8281, top5_acc: 0.9625, loss_cls: 4.4757, loss: 4.4757 |
| 2025-05-16 02:08:30,323 - pyskl - INFO - Epoch [100][200/1027] lr: 6.434e-03, eta: 5:40:04, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8087, top5_acc: 0.9531, loss_cls: 4.6004, loss: 4.6004 |
| 2025-05-16 02:09:07,796 - pyskl - INFO - Epoch [100][300/1027] lr: 6.411e-03, eta: 5:39:24, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8156, top5_acc: 0.9569, loss_cls: 4.5348, loss: 4.5348 |
| 2025-05-16 02:09:45,488 - pyskl - INFO - Epoch [100][400/1027] lr: 6.389e-03, eta: 5:38:45, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8063, top5_acc: 0.9563, loss_cls: 4.5660, loss: 4.5660 |
| 2025-05-16 02:10:22,374 - pyskl - INFO - Epoch [100][500/1027] lr: 6.367e-03, eta: 5:38:04, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.8019, top5_acc: 0.9606, loss_cls: 4.7191, loss: 4.7191 |
| 2025-05-16 02:10:59,261 - pyskl - INFO - Epoch [100][600/1027] lr: 6.345e-03, eta: 5:37:24, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.7831, top5_acc: 0.9394, loss_cls: 4.7085, loss: 4.7085 |
| 2025-05-16 02:11:36,135 - pyskl - INFO - Epoch [100][700/1027] lr: 6.323e-03, eta: 5:36:44, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.7937, top5_acc: 0.9463, loss_cls: 4.7084, loss: 4.7084 |
| 2025-05-16 02:12:13,762 - pyskl - INFO - Epoch [100][800/1027] lr: 6.300e-03, eta: 5:36:04, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7762, top5_acc: 0.9381, loss_cls: 4.7882, loss: 4.7882 |
| 2025-05-16 02:12:51,536 - pyskl - INFO - Epoch [100][900/1027] lr: 6.278e-03, eta: 5:35:24, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7750, top5_acc: 0.9456, loss_cls: 4.7043, loss: 4.7043 |
| 2025-05-16 02:13:29,317 - pyskl - INFO - Epoch [100][1000/1027] lr: 6.256e-03, eta: 5:34:45, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7788, top5_acc: 0.9406, loss_cls: 4.8408, loss: 4.8408 |
| 2025-05-16 02:13:40,406 - pyskl - INFO - Saving checkpoint at 100 epochs |
| 2025-05-16 02:14:18,039 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:14:18,111 - pyskl - INFO - |
| top1_acc 0.6919 |
| top5_acc 0.9182 |
| 2025-05-16 02:14:18,111 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:14:18,119 - pyskl - INFO - |
| mean_acc 0.6900 |
| 2025-05-16 02:14:18,121 - pyskl - INFO - Epoch(val) [100][413] top1_acc: 0.6919, top5_acc: 0.9182, mean_class_accuracy: 0.6900 |
| 2025-05-16 02:15:21,326 - pyskl - INFO - Epoch [101][100/1027] lr: 6.228e-03, eta: 5:34:02, time: 0.632, data_time: 0.255, memory: 7959, top1_acc: 0.8250, top5_acc: 0.9663, loss_cls: 4.6402, loss: 4.6402 |
| 2025-05-16 02:15:59,264 - pyskl - INFO - Epoch [101][200/1027] lr: 6.206e-03, eta: 5:33:22, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8050, top5_acc: 0.9544, loss_cls: 4.5667, loss: 4.5667 |
| 2025-05-16 02:16:37,008 - pyskl - INFO - Epoch [101][300/1027] lr: 6.184e-03, eta: 5:32:42, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8237, top5_acc: 0.9587, loss_cls: 4.4898, loss: 4.4898 |
| 2025-05-16 02:17:14,597 - pyskl - INFO - Epoch [101][400/1027] lr: 6.162e-03, eta: 5:32:02, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8163, top5_acc: 0.9531, loss_cls: 4.5077, loss: 4.5077 |
| 2025-05-16 02:17:52,314 - pyskl - INFO - Epoch [101][500/1027] lr: 6.140e-03, eta: 5:31:23, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8025, top5_acc: 0.9531, loss_cls: 4.5989, loss: 4.5989 |
| 2025-05-16 02:18:29,944 - pyskl - INFO - Epoch [101][600/1027] lr: 6.118e-03, eta: 5:30:43, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8050, top5_acc: 0.9581, loss_cls: 4.5398, loss: 4.5398 |
| 2025-05-16 02:19:07,680 - pyskl - INFO - Epoch [101][700/1027] lr: 6.096e-03, eta: 5:30:03, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8050, top5_acc: 0.9494, loss_cls: 4.6548, loss: 4.6548 |
| 2025-05-16 02:19:45,218 - pyskl - INFO - Epoch [101][800/1027] lr: 6.074e-03, eta: 5:29:23, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7856, top5_acc: 0.9537, loss_cls: 4.7332, loss: 4.7332 |
| 2025-05-16 02:20:23,010 - pyskl - INFO - Epoch [101][900/1027] lr: 6.053e-03, eta: 5:28:43, time: 0.378, data_time: 0.001, memory: 7959, top1_acc: 0.7956, top5_acc: 0.9550, loss_cls: 4.6738, loss: 4.6738 |
| 2025-05-16 02:21:00,846 - pyskl - INFO - Epoch [101][1000/1027] lr: 6.031e-03, eta: 5:28:04, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7844, top5_acc: 0.9506, loss_cls: 4.6786, loss: 4.6786 |
| 2025-05-16 02:21:11,831 - pyskl - INFO - Saving checkpoint at 101 epochs |
| 2025-05-16 02:21:49,588 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:21:49,661 - pyskl - INFO - |
| top1_acc 0.6845 |
| top5_acc 0.9159 |
| 2025-05-16 02:21:49,661 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:21:49,669 - pyskl - INFO - |
| mean_acc 0.6848 |
| 2025-05-16 02:21:49,670 - pyskl - INFO - Epoch(val) [101][413] top1_acc: 0.6845, top5_acc: 0.9159, mean_class_accuracy: 0.6848 |
| 2025-05-16 02:22:52,547 - pyskl - INFO - Epoch [102][100/1027] lr: 6.003e-03, eta: 5:27:20, time: 0.629, data_time: 0.254, memory: 7959, top1_acc: 0.8406, top5_acc: 0.9675, loss_cls: 4.3946, loss: 4.3946 |
| 2025-05-16 02:23:30,276 - pyskl - INFO - Epoch [102][200/1027] lr: 5.981e-03, eta: 5:26:41, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8187, top5_acc: 0.9594, loss_cls: 4.5341, loss: 4.5341 |
| 2025-05-16 02:24:08,255 - pyskl - INFO - Epoch [102][300/1027] lr: 5.960e-03, eta: 5:26:01, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8300, top5_acc: 0.9663, loss_cls: 4.5249, loss: 4.5249 |
| 2025-05-16 02:24:46,220 - pyskl - INFO - Epoch [102][400/1027] lr: 5.938e-03, eta: 5:25:21, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8144, top5_acc: 0.9581, loss_cls: 4.4775, loss: 4.4775 |
| 2025-05-16 02:25:23,806 - pyskl - INFO - Epoch [102][500/1027] lr: 5.916e-03, eta: 5:24:41, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7981, top5_acc: 0.9600, loss_cls: 4.5071, loss: 4.5071 |
| 2025-05-16 02:26:01,212 - pyskl - INFO - Epoch [102][600/1027] lr: 5.895e-03, eta: 5:24:02, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8025, top5_acc: 0.9537, loss_cls: 4.7539, loss: 4.7539 |
| 2025-05-16 02:26:38,686 - pyskl - INFO - Epoch [102][700/1027] lr: 5.873e-03, eta: 5:23:22, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8169, top5_acc: 0.9594, loss_cls: 4.5736, loss: 4.5736 |
| 2025-05-16 02:27:16,226 - pyskl - INFO - Epoch [102][800/1027] lr: 5.851e-03, eta: 5:22:42, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8094, top5_acc: 0.9550, loss_cls: 4.6974, loss: 4.6974 |
| 2025-05-16 02:27:54,011 - pyskl - INFO - Epoch [102][900/1027] lr: 5.830e-03, eta: 5:22:02, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8069, top5_acc: 0.9550, loss_cls: 4.6913, loss: 4.6913 |
| 2025-05-16 02:28:32,017 - pyskl - INFO - Epoch [102][1000/1027] lr: 5.808e-03, eta: 5:21:22, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7925, top5_acc: 0.9494, loss_cls: 4.7610, loss: 4.7610 |
| 2025-05-16 02:28:42,964 - pyskl - INFO - Saving checkpoint at 102 epochs |
| 2025-05-16 02:29:20,647 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:29:20,719 - pyskl - INFO - |
| top1_acc 0.6856 |
| top5_acc 0.9076 |
| 2025-05-16 02:29:20,719 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:29:20,726 - pyskl - INFO - |
| mean_acc 0.6832 |
| 2025-05-16 02:29:20,728 - pyskl - INFO - Epoch(val) [102][413] top1_acc: 0.6856, top5_acc: 0.9076, mean_class_accuracy: 0.6832 |
| 2025-05-16 02:30:24,163 - pyskl - INFO - Epoch [103][100/1027] lr: 5.781e-03, eta: 5:20:39, time: 0.634, data_time: 0.255, memory: 7959, top1_acc: 0.8419, top5_acc: 0.9769, loss_cls: 4.3533, loss: 4.3533 |
| 2025-05-16 02:31:01,864 - pyskl - INFO - Epoch [103][200/1027] lr: 5.759e-03, eta: 5:20:00, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8319, top5_acc: 0.9663, loss_cls: 4.4589, loss: 4.4589 |
| 2025-05-16 02:31:39,706 - pyskl - INFO - Epoch [103][300/1027] lr: 5.738e-03, eta: 5:19:20, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8319, top5_acc: 0.9663, loss_cls: 4.5665, loss: 4.5665 |
| 2025-05-16 02:32:17,516 - pyskl - INFO - Epoch [103][400/1027] lr: 5.717e-03, eta: 5:18:40, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8350, top5_acc: 0.9606, loss_cls: 4.4400, loss: 4.4400 |
| 2025-05-16 02:32:54,936 - pyskl - INFO - Epoch [103][500/1027] lr: 5.695e-03, eta: 5:18:00, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8281, top5_acc: 0.9656, loss_cls: 4.5075, loss: 4.5075 |
| 2025-05-16 02:33:32,420 - pyskl - INFO - Epoch [103][600/1027] lr: 5.674e-03, eta: 5:17:20, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8275, top5_acc: 0.9631, loss_cls: 4.5054, loss: 4.5054 |
| 2025-05-16 02:34:10,129 - pyskl - INFO - Epoch [103][700/1027] lr: 5.652e-03, eta: 5:16:41, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8175, top5_acc: 0.9669, loss_cls: 4.6202, loss: 4.6202 |
| 2025-05-16 02:34:47,757 - pyskl - INFO - Epoch [103][800/1027] lr: 5.631e-03, eta: 5:16:01, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7956, top5_acc: 0.9525, loss_cls: 4.5718, loss: 4.5718 |
| 2025-05-16 02:35:25,514 - pyskl - INFO - Epoch [103][900/1027] lr: 5.610e-03, eta: 5:15:21, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8081, top5_acc: 0.9556, loss_cls: 4.5888, loss: 4.5888 |
| 2025-05-16 02:36:03,219 - pyskl - INFO - Epoch [103][1000/1027] lr: 5.589e-03, eta: 5:14:41, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7812, top5_acc: 0.9463, loss_cls: 4.7345, loss: 4.7345 |
| 2025-05-16 02:36:14,408 - pyskl - INFO - Saving checkpoint at 103 epochs |
| 2025-05-16 02:36:51,927 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:36:52,001 - pyskl - INFO - |
| top1_acc 0.6812 |
| top5_acc 0.9007 |
| 2025-05-16 02:36:52,001 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:36:52,009 - pyskl - INFO - |
| mean_acc 0.6774 |
| 2025-05-16 02:36:52,011 - pyskl - INFO - Epoch(val) [103][413] top1_acc: 0.6812, top5_acc: 0.9007, mean_class_accuracy: 0.6774 |
| 2025-05-16 02:37:54,851 - pyskl - INFO - Epoch [104][100/1027] lr: 5.562e-03, eta: 5:13:58, time: 0.628, data_time: 0.255, memory: 7959, top1_acc: 0.8425, top5_acc: 0.9681, loss_cls: 4.2157, loss: 4.2157 |
| 2025-05-16 02:38:32,462 - pyskl - INFO - Epoch [104][200/1027] lr: 5.540e-03, eta: 5:13:18, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8475, top5_acc: 0.9656, loss_cls: 4.4060, loss: 4.4060 |
| 2025-05-16 02:39:10,323 - pyskl - INFO - Epoch [104][300/1027] lr: 5.519e-03, eta: 5:12:38, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8475, top5_acc: 0.9688, loss_cls: 4.3925, loss: 4.3925 |
| 2025-05-16 02:39:47,675 - pyskl - INFO - Epoch [104][400/1027] lr: 5.498e-03, eta: 5:11:58, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8294, top5_acc: 0.9619, loss_cls: 4.5461, loss: 4.5461 |
| 2025-05-16 02:40:24,568 - pyskl - INFO - Epoch [104][500/1027] lr: 5.477e-03, eta: 5:11:18, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.8244, top5_acc: 0.9613, loss_cls: 4.4427, loss: 4.4427 |
| 2025-05-16 02:41:01,472 - pyskl - INFO - Epoch [104][600/1027] lr: 5.456e-03, eta: 5:10:38, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.8169, top5_acc: 0.9556, loss_cls: 4.5451, loss: 4.5451 |
| 2025-05-16 02:41:39,134 - pyskl - INFO - Epoch [104][700/1027] lr: 5.435e-03, eta: 5:09:58, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8156, top5_acc: 0.9550, loss_cls: 4.5286, loss: 4.5286 |
| 2025-05-16 02:42:16,922 - pyskl - INFO - Epoch [104][800/1027] lr: 5.414e-03, eta: 5:09:19, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8037, top5_acc: 0.9563, loss_cls: 4.5467, loss: 4.5467 |
| 2025-05-16 02:42:54,966 - pyskl - INFO - Epoch [104][900/1027] lr: 5.393e-03, eta: 5:08:39, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8213, top5_acc: 0.9625, loss_cls: 4.4673, loss: 4.4673 |
| 2025-05-16 02:43:32,311 - pyskl - INFO - Epoch [104][1000/1027] lr: 5.372e-03, eta: 5:07:59, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8319, top5_acc: 0.9637, loss_cls: 4.4518, loss: 4.4518 |
| 2025-05-16 02:43:43,315 - pyskl - INFO - Saving checkpoint at 104 epochs |
| 2025-05-16 02:44:20,863 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:44:20,935 - pyskl - INFO - |
| top1_acc 0.6916 |
| top5_acc 0.9124 |
| 2025-05-16 02:44:20,935 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:44:20,943 - pyskl - INFO - |
| mean_acc 0.6957 |
| 2025-05-16 02:44:20,945 - pyskl - INFO - Epoch(val) [104][413] top1_acc: 0.6916, top5_acc: 0.9124, mean_class_accuracy: 0.6957 |
| 2025-05-16 02:45:24,735 - pyskl - INFO - Epoch [105][100/1027] lr: 5.345e-03, eta: 5:07:16, time: 0.638, data_time: 0.259, memory: 7959, top1_acc: 0.8669, top5_acc: 0.9775, loss_cls: 4.2237, loss: 4.2237 |
| 2025-05-16 02:46:02,368 - pyskl - INFO - Epoch [105][200/1027] lr: 5.324e-03, eta: 5:06:36, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8488, top5_acc: 0.9762, loss_cls: 4.3560, loss: 4.3560 |
| 2025-05-16 02:46:40,148 - pyskl - INFO - Epoch [105][300/1027] lr: 5.304e-03, eta: 5:05:57, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8294, top5_acc: 0.9644, loss_cls: 4.4522, loss: 4.4522 |
| 2025-05-16 02:47:17,713 - pyskl - INFO - Epoch [105][400/1027] lr: 5.283e-03, eta: 5:05:17, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8331, top5_acc: 0.9650, loss_cls: 4.3651, loss: 4.3651 |
| 2025-05-16 02:47:55,096 - pyskl - INFO - Epoch [105][500/1027] lr: 5.262e-03, eta: 5:04:37, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8381, top5_acc: 0.9644, loss_cls: 4.4502, loss: 4.4502 |
| 2025-05-16 02:48:32,567 - pyskl - INFO - Epoch [105][600/1027] lr: 5.241e-03, eta: 5:03:57, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8356, top5_acc: 0.9663, loss_cls: 4.3897, loss: 4.3897 |
| 2025-05-16 02:49:10,041 - pyskl - INFO - Epoch [105][700/1027] lr: 5.220e-03, eta: 5:03:17, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8287, top5_acc: 0.9587, loss_cls: 4.3977, loss: 4.3977 |
| 2025-05-16 02:49:47,683 - pyskl - INFO - Epoch [105][800/1027] lr: 5.200e-03, eta: 5:02:38, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8150, top5_acc: 0.9625, loss_cls: 4.4364, loss: 4.4364 |
| 2025-05-16 02:50:25,830 - pyskl - INFO - Epoch [105][900/1027] lr: 5.179e-03, eta: 5:01:58, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8325, top5_acc: 0.9706, loss_cls: 4.4299, loss: 4.4299 |
| 2025-05-16 02:51:03,537 - pyskl - INFO - Epoch [105][1000/1027] lr: 5.158e-03, eta: 5:01:18, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8250, top5_acc: 0.9613, loss_cls: 4.5130, loss: 4.5130 |
| 2025-05-16 02:51:14,642 - pyskl - INFO - Saving checkpoint at 105 epochs |
| 2025-05-16 02:51:52,123 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:51:52,196 - pyskl - INFO - |
| top1_acc 0.6886 |
| top5_acc 0.9133 |
| 2025-05-16 02:51:52,196 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:51:52,204 - pyskl - INFO - |
| mean_acc 0.6913 |
| 2025-05-16 02:51:52,206 - pyskl - INFO - Epoch(val) [105][413] top1_acc: 0.6886, top5_acc: 0.9133, mean_class_accuracy: 0.6913 |
| 2025-05-16 02:52:55,310 - pyskl - INFO - Epoch [106][100/1027] lr: 5.132e-03, eta: 5:00:34, time: 0.631, data_time: 0.256, memory: 7959, top1_acc: 0.8506, top5_acc: 0.9756, loss_cls: 4.3199, loss: 4.3199 |
| 2025-05-16 02:53:32,984 - pyskl - INFO - Epoch [106][200/1027] lr: 5.112e-03, eta: 4:59:55, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8625, top5_acc: 0.9738, loss_cls: 4.2779, loss: 4.2779 |
| 2025-05-16 02:54:10,975 - pyskl - INFO - Epoch [106][300/1027] lr: 5.091e-03, eta: 4:59:15, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8556, top5_acc: 0.9725, loss_cls: 4.2769, loss: 4.2769 |
| 2025-05-16 02:54:48,842 - pyskl - INFO - Epoch [106][400/1027] lr: 5.071e-03, eta: 4:58:35, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8281, top5_acc: 0.9700, loss_cls: 4.3314, loss: 4.3314 |
| 2025-05-16 02:55:26,442 - pyskl - INFO - Epoch [106][500/1027] lr: 5.050e-03, eta: 4:57:56, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8381, top5_acc: 0.9663, loss_cls: 4.3648, loss: 4.3648 |
| 2025-05-16 02:56:03,978 - pyskl - INFO - Epoch [106][600/1027] lr: 5.030e-03, eta: 4:57:16, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8494, top5_acc: 0.9631, loss_cls: 4.4615, loss: 4.4615 |
| 2025-05-16 02:56:41,573 - pyskl - INFO - Epoch [106][700/1027] lr: 5.009e-03, eta: 4:56:36, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8413, top5_acc: 0.9719, loss_cls: 4.3686, loss: 4.3686 |
| 2025-05-16 02:57:19,270 - pyskl - INFO - Epoch [106][800/1027] lr: 4.989e-03, eta: 4:55:57, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8569, top5_acc: 0.9719, loss_cls: 4.2442, loss: 4.2442 |
| 2025-05-16 02:57:56,998 - pyskl - INFO - Epoch [106][900/1027] lr: 4.969e-03, eta: 4:55:17, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8344, top5_acc: 0.9731, loss_cls: 4.4304, loss: 4.4304 |
| 2025-05-16 02:58:34,748 - pyskl - INFO - Epoch [106][1000/1027] lr: 4.948e-03, eta: 4:54:37, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8369, top5_acc: 0.9619, loss_cls: 4.4291, loss: 4.4291 |
| 2025-05-16 02:58:45,746 - pyskl - INFO - Saving checkpoint at 106 epochs |
| 2025-05-16 02:59:23,376 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:59:23,449 - pyskl - INFO - |
| top1_acc 0.6865 |
| top5_acc 0.9139 |
| 2025-05-16 02:59:23,449 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:59:23,460 - pyskl - INFO - |
| mean_acc 0.6905 |
| 2025-05-16 02:59:23,461 - pyskl - INFO - Epoch(val) [106][413] top1_acc: 0.6865, top5_acc: 0.9139, mean_class_accuracy: 0.6905 |
| 2025-05-16 03:00:26,497 - pyskl - INFO - Epoch [107][100/1027] lr: 4.922e-03, eta: 4:53:53, time: 0.630, data_time: 0.255, memory: 7959, top1_acc: 0.8750, top5_acc: 0.9812, loss_cls: 4.3391, loss: 4.3391 |
| 2025-05-16 03:01:04,306 - pyskl - INFO - Epoch [107][200/1027] lr: 4.902e-03, eta: 4:53:13, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8456, top5_acc: 0.9756, loss_cls: 4.3016, loss: 4.3016 |
| 2025-05-16 03:01:42,150 - pyskl - INFO - Epoch [107][300/1027] lr: 4.882e-03, eta: 4:52:34, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8475, top5_acc: 0.9706, loss_cls: 4.3928, loss: 4.3928 |
| 2025-05-16 03:02:19,912 - pyskl - INFO - Epoch [107][400/1027] lr: 4.862e-03, eta: 4:51:54, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8525, top5_acc: 0.9688, loss_cls: 4.3883, loss: 4.3883 |
| 2025-05-16 03:02:57,463 - pyskl - INFO - Epoch [107][500/1027] lr: 4.842e-03, eta: 4:51:14, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8644, top5_acc: 0.9750, loss_cls: 4.2091, loss: 4.2091 |
| 2025-05-16 03:03:34,916 - pyskl - INFO - Epoch [107][600/1027] lr: 4.821e-03, eta: 4:50:35, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8556, top5_acc: 0.9663, loss_cls: 4.3332, loss: 4.3332 |
| 2025-05-16 03:04:12,572 - pyskl - INFO - Epoch [107][700/1027] lr: 4.801e-03, eta: 4:49:55, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8406, top5_acc: 0.9613, loss_cls: 4.2865, loss: 4.2865 |
| 2025-05-16 03:04:50,148 - pyskl - INFO - Epoch [107][800/1027] lr: 4.781e-03, eta: 4:49:15, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8300, top5_acc: 0.9669, loss_cls: 4.4564, loss: 4.4564 |
| 2025-05-16 03:05:27,977 - pyskl - INFO - Epoch [107][900/1027] lr: 4.761e-03, eta: 4:48:36, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8387, top5_acc: 0.9663, loss_cls: 4.4846, loss: 4.4846 |
| 2025-05-16 03:06:05,810 - pyskl - INFO - Epoch [107][1000/1027] lr: 4.741e-03, eta: 4:47:56, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8438, top5_acc: 0.9731, loss_cls: 4.2735, loss: 4.2735 |
| 2025-05-16 03:06:16,742 - pyskl - INFO - Saving checkpoint at 107 epochs |
| 2025-05-16 03:06:54,417 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:06:54,490 - pyskl - INFO - |
| top1_acc 0.6936 |
| top5_acc 0.9138 |
| 2025-05-16 03:06:54,490 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:06:54,499 - pyskl - INFO - |
| mean_acc 0.6962 |
| 2025-05-16 03:06:54,557 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_97.pth was removed |
| 2025-05-16 03:06:56,095 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. |
| 2025-05-16 03:06:56,096 - pyskl - INFO - Best top1_acc is 0.6936 at 107 epoch. |
| 2025-05-16 03:06:56,099 - pyskl - INFO - Epoch(val) [107][413] top1_acc: 0.6936, top5_acc: 0.9138, mean_class_accuracy: 0.6962 |
| 2025-05-16 03:07:59,815 - pyskl - INFO - Epoch [108][100/1027] lr: 4.716e-03, eta: 4:47:12, time: 0.637, data_time: 0.262, memory: 7959, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 4.1514, loss: 4.1514 |
| 2025-05-16 03:08:37,432 - pyskl - INFO - Epoch [108][200/1027] lr: 4.696e-03, eta: 4:46:32, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8725, top5_acc: 0.9812, loss_cls: 4.2048, loss: 4.2048 |
| 2025-05-16 03:09:15,537 - pyskl - INFO - Epoch [108][300/1027] lr: 4.676e-03, eta: 4:45:53, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8669, top5_acc: 0.9775, loss_cls: 4.2621, loss: 4.2621 |
| 2025-05-16 03:09:53,464 - pyskl - INFO - Epoch [108][400/1027] lr: 4.656e-03, eta: 4:45:13, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8544, top5_acc: 0.9744, loss_cls: 4.2950, loss: 4.2950 |
| 2025-05-16 03:10:31,042 - pyskl - INFO - Epoch [108][500/1027] lr: 4.636e-03, eta: 4:44:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8444, top5_acc: 0.9744, loss_cls: 4.3512, loss: 4.3512 |
| 2025-05-16 03:11:08,664 - pyskl - INFO - Epoch [108][600/1027] lr: 4.617e-03, eta: 4:43:54, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8506, top5_acc: 0.9731, loss_cls: 4.2806, loss: 4.2806 |
| 2025-05-16 03:11:46,182 - pyskl - INFO - Epoch [108][700/1027] lr: 4.597e-03, eta: 4:43:14, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8538, top5_acc: 0.9738, loss_cls: 4.2079, loss: 4.2079 |
| 2025-05-16 03:12:23,983 - pyskl - INFO - Epoch [108][800/1027] lr: 4.577e-03, eta: 4:42:34, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8731, top5_acc: 0.9781, loss_cls: 4.2850, loss: 4.2850 |
| 2025-05-16 03:13:01,672 - pyskl - INFO - Epoch [108][900/1027] lr: 4.557e-03, eta: 4:41:55, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8381, top5_acc: 0.9700, loss_cls: 4.4326, loss: 4.4326 |
| 2025-05-16 03:13:39,243 - pyskl - INFO - Epoch [108][1000/1027] lr: 4.538e-03, eta: 4:41:15, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8406, top5_acc: 0.9681, loss_cls: 4.3393, loss: 4.3393 |
| 2025-05-16 03:13:50,154 - pyskl - INFO - Saving checkpoint at 108 epochs |
| 2025-05-16 03:14:27,767 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:14:27,847 - pyskl - INFO - |
| top1_acc 0.6884 |
| top5_acc 0.9095 |
| 2025-05-16 03:14:27,847 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:14:27,856 - pyskl - INFO - |
| mean_acc 0.6908 |
| 2025-05-16 03:14:27,858 - pyskl - INFO - Epoch(val) [108][413] top1_acc: 0.6884, top5_acc: 0.9095, mean_class_accuracy: 0.6908 |
| 2025-05-16 03:15:31,941 - pyskl - INFO - Epoch [109][100/1027] lr: 4.513e-03, eta: 4:40:31, time: 0.641, data_time: 0.265, memory: 7959, top1_acc: 0.8944, top5_acc: 0.9844, loss_cls: 4.1653, loss: 4.1653 |
| 2025-05-16 03:16:09,549 - pyskl - INFO - Epoch [109][200/1027] lr: 4.493e-03, eta: 4:39:51, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8788, top5_acc: 0.9769, loss_cls: 4.2540, loss: 4.2540 |
| 2025-05-16 03:16:47,159 - pyskl - INFO - Epoch [109][300/1027] lr: 4.474e-03, eta: 4:39:12, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8775, top5_acc: 0.9812, loss_cls: 4.2520, loss: 4.2520 |
| 2025-05-16 03:17:24,208 - pyskl - INFO - Epoch [109][400/1027] lr: 4.454e-03, eta: 4:38:32, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 4.0782, loss: 4.0782 |
| 2025-05-16 03:18:01,550 - pyskl - INFO - Epoch [109][500/1027] lr: 4.435e-03, eta: 4:37:52, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8719, top5_acc: 0.9788, loss_cls: 4.2179, loss: 4.2179 |
| 2025-05-16 03:18:39,037 - pyskl - INFO - Epoch [109][600/1027] lr: 4.415e-03, eta: 4:37:12, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8694, top5_acc: 0.9769, loss_cls: 4.2177, loss: 4.2177 |
| 2025-05-16 03:19:16,644 - pyskl - INFO - Epoch [109][700/1027] lr: 4.396e-03, eta: 4:36:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8700, top5_acc: 0.9738, loss_cls: 4.1730, loss: 4.1730 |
| 2025-05-16 03:19:54,124 - pyskl - INFO - Epoch [109][800/1027] lr: 4.376e-03, eta: 4:35:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8550, top5_acc: 0.9719, loss_cls: 4.3280, loss: 4.3280 |
| 2025-05-16 03:20:32,034 - pyskl - INFO - Epoch [109][900/1027] lr: 4.357e-03, eta: 4:35:13, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8431, top5_acc: 0.9738, loss_cls: 4.3102, loss: 4.3102 |
| 2025-05-16 03:21:09,624 - pyskl - INFO - Epoch [109][1000/1027] lr: 4.338e-03, eta: 4:34:34, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8588, top5_acc: 0.9750, loss_cls: 4.2863, loss: 4.2863 |
| 2025-05-16 03:21:20,816 - pyskl - INFO - Saving checkpoint at 109 epochs |
| 2025-05-16 03:21:58,246 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:21:58,317 - pyskl - INFO - |
| top1_acc 0.6898 |
| top5_acc 0.9145 |
| 2025-05-16 03:21:58,318 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:21:58,325 - pyskl - INFO - |
| mean_acc 0.6872 |
| 2025-05-16 03:21:58,326 - pyskl - INFO - Epoch(val) [109][413] top1_acc: 0.6898, top5_acc: 0.9145, mean_class_accuracy: 0.6872 |
| 2025-05-16 03:23:01,139 - pyskl - INFO - Epoch [110][100/1027] lr: 4.313e-03, eta: 4:33:49, time: 0.628, data_time: 0.254, memory: 7959, top1_acc: 0.8831, top5_acc: 0.9825, loss_cls: 4.1217, loss: 4.1217 |
| 2025-05-16 03:23:38,854 - pyskl - INFO - Epoch [110][200/1027] lr: 4.294e-03, eta: 4:33:09, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8775, top5_acc: 0.9819, loss_cls: 4.1108, loss: 4.1108 |
| 2025-05-16 03:24:16,886 - pyskl - INFO - Epoch [110][300/1027] lr: 4.275e-03, eta: 4:32:30, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8762, top5_acc: 0.9725, loss_cls: 4.1938, loss: 4.1938 |
| 2025-05-16 03:24:54,714 - pyskl - INFO - Epoch [110][400/1027] lr: 4.256e-03, eta: 4:31:50, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8731, top5_acc: 0.9794, loss_cls: 4.1410, loss: 4.1410 |
| 2025-05-16 03:25:32,284 - pyskl - INFO - Epoch [110][500/1027] lr: 4.236e-03, eta: 4:31:11, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8812, top5_acc: 0.9688, loss_cls: 4.3602, loss: 4.3602 |
| 2025-05-16 03:26:09,944 - pyskl - INFO - Epoch [110][600/1027] lr: 4.217e-03, eta: 4:30:31, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8844, top5_acc: 0.9831, loss_cls: 4.1139, loss: 4.1139 |
| 2025-05-16 03:26:47,406 - pyskl - INFO - Epoch [110][700/1027] lr: 4.198e-03, eta: 4:29:51, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8750, top5_acc: 0.9794, loss_cls: 4.1479, loss: 4.1479 |
| 2025-05-16 03:27:24,897 - pyskl - INFO - Epoch [110][800/1027] lr: 4.179e-03, eta: 4:29:11, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8344, top5_acc: 0.9725, loss_cls: 4.3904, loss: 4.3904 |
| 2025-05-16 03:28:02,221 - pyskl - INFO - Epoch [110][900/1027] lr: 4.160e-03, eta: 4:28:32, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8750, top5_acc: 0.9794, loss_cls: 4.1731, loss: 4.1731 |
| 2025-05-16 03:28:39,894 - pyskl - INFO - Epoch [110][1000/1027] lr: 4.141e-03, eta: 4:27:52, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8600, top5_acc: 0.9719, loss_cls: 4.1847, loss: 4.1847 |
| 2025-05-16 03:28:51,014 - pyskl - INFO - Saving checkpoint at 110 epochs |
| 2025-05-16 03:29:28,721 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:29:28,794 - pyskl - INFO - |
| top1_acc 0.7034 |
| top5_acc 0.9117 |
| 2025-05-16 03:29:28,795 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:29:28,803 - pyskl - INFO - |
| mean_acc 0.7009 |
| 2025-05-16 03:29:28,861 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_107.pth was removed |
| 2025-05-16 03:29:30,423 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. |
| 2025-05-16 03:29:30,425 - pyskl - INFO - Best top1_acc is 0.7034 at 110 epoch. |
| 2025-05-16 03:29:30,428 - pyskl - INFO - Epoch(val) [110][413] top1_acc: 0.7034, top5_acc: 0.9117, mean_class_accuracy: 0.7009 |
| 2025-05-16 03:30:33,924 - pyskl - INFO - Epoch [111][100/1027] lr: 4.117e-03, eta: 4:27:07, time: 0.635, data_time: 0.258, memory: 7959, top1_acc: 0.9094, top5_acc: 0.9888, loss_cls: 4.0277, loss: 4.0277 |
| 2025-05-16 03:31:11,473 - pyskl - INFO - Epoch [111][200/1027] lr: 4.098e-03, eta: 4:26:28, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8981, top5_acc: 0.9850, loss_cls: 4.1633, loss: 4.1633 |
| 2025-05-16 03:31:49,456 - pyskl - INFO - Epoch [111][300/1027] lr: 4.079e-03, eta: 4:25:48, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8894, top5_acc: 0.9806, loss_cls: 4.0780, loss: 4.0780 |
| 2025-05-16 03:32:27,240 - pyskl - INFO - Epoch [111][400/1027] lr: 4.061e-03, eta: 4:25:09, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8794, top5_acc: 0.9831, loss_cls: 4.1975, loss: 4.1975 |
| 2025-05-16 03:33:04,658 - pyskl - INFO - Epoch [111][500/1027] lr: 4.042e-03, eta: 4:24:29, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 4.2136, loss: 4.2136 |
| 2025-05-16 03:33:42,273 - pyskl - INFO - Epoch [111][600/1027] lr: 4.023e-03, eta: 4:23:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8850, top5_acc: 0.9756, loss_cls: 4.1241, loss: 4.1241 |
| 2025-05-16 03:34:19,864 - pyskl - INFO - Epoch [111][700/1027] lr: 4.004e-03, eta: 4:23:10, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8781, top5_acc: 0.9844, loss_cls: 4.1148, loss: 4.1148 |
| 2025-05-16 03:34:57,656 - pyskl - INFO - Epoch [111][800/1027] lr: 3.986e-03, eta: 4:22:30, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8725, top5_acc: 0.9775, loss_cls: 4.1140, loss: 4.1140 |
| 2025-05-16 03:35:35,303 - pyskl - INFO - Epoch [111][900/1027] lr: 3.967e-03, eta: 4:21:50, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8650, top5_acc: 0.9812, loss_cls: 4.2285, loss: 4.2285 |
| 2025-05-16 03:36:12,907 - pyskl - INFO - Epoch [111][1000/1027] lr: 3.948e-03, eta: 4:21:11, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8831, top5_acc: 0.9812, loss_cls: 4.1341, loss: 4.1341 |
| 2025-05-16 03:36:23,782 - pyskl - INFO - Saving checkpoint at 111 epochs |
| 2025-05-16 03:37:01,273 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:37:01,347 - pyskl - INFO - |
| top1_acc 0.6989 |
| top5_acc 0.9189 |
| 2025-05-16 03:37:01,347 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:37:01,355 - pyskl - INFO - |
| mean_acc 0.6963 |
| 2025-05-16 03:37:01,356 - pyskl - INFO - Epoch(val) [111][413] top1_acc: 0.6989, top5_acc: 0.9189, mean_class_accuracy: 0.6963 |
| 2025-05-16 03:38:04,708 - pyskl - INFO - Epoch [112][100/1027] lr: 3.925e-03, eta: 4:20:26, time: 0.633, data_time: 0.259, memory: 7959, top1_acc: 0.9019, top5_acc: 0.9781, loss_cls: 4.0481, loss: 4.0481 |
| 2025-05-16 03:38:42,109 - pyskl - INFO - Epoch [112][200/1027] lr: 3.906e-03, eta: 4:19:46, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8988, top5_acc: 0.9838, loss_cls: 4.0093, loss: 4.0093 |
| 2025-05-16 03:39:20,024 - pyskl - INFO - Epoch [112][300/1027] lr: 3.888e-03, eta: 4:19:07, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 3.9735, loss: 3.9735 |
| 2025-05-16 03:39:57,852 - pyskl - INFO - Epoch [112][400/1027] lr: 3.869e-03, eta: 4:18:27, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8988, top5_acc: 0.9819, loss_cls: 4.0219, loss: 4.0219 |
| 2025-05-16 03:40:35,279 - pyskl - INFO - Epoch [112][500/1027] lr: 3.851e-03, eta: 4:17:48, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8900, top5_acc: 0.9844, loss_cls: 4.1183, loss: 4.1183 |
| 2025-05-16 03:41:12,506 - pyskl - INFO - Epoch [112][600/1027] lr: 3.832e-03, eta: 4:17:08, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 4.2136, loss: 4.2136 |
| 2025-05-16 03:41:50,057 - pyskl - INFO - Epoch [112][700/1027] lr: 3.814e-03, eta: 4:16:28, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8981, top5_acc: 0.9800, loss_cls: 4.0140, loss: 4.0140 |
| 2025-05-16 03:42:27,735 - pyskl - INFO - Epoch [112][800/1027] lr: 3.796e-03, eta: 4:15:49, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9006, top5_acc: 0.9800, loss_cls: 4.0419, loss: 4.0419 |
| 2025-05-16 03:43:05,676 - pyskl - INFO - Epoch [112][900/1027] lr: 3.778e-03, eta: 4:15:09, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8762, top5_acc: 0.9825, loss_cls: 4.0956, loss: 4.0956 |
| 2025-05-16 03:43:43,179 - pyskl - INFO - Epoch [112][1000/1027] lr: 3.759e-03, eta: 4:14:29, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8806, top5_acc: 0.9756, loss_cls: 4.2175, loss: 4.2175 |
| 2025-05-16 03:43:54,185 - pyskl - INFO - Saving checkpoint at 112 epochs |
| 2025-05-16 03:44:31,727 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:44:31,800 - pyskl - INFO - |
| top1_acc 0.6981 |
| top5_acc 0.9174 |
| 2025-05-16 03:44:31,800 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:44:31,808 - pyskl - INFO - |
| mean_acc 0.6960 |
| 2025-05-16 03:44:31,810 - pyskl - INFO - Epoch(val) [112][413] top1_acc: 0.6981, top5_acc: 0.9174, mean_class_accuracy: 0.6960 |
| 2025-05-16 03:45:35,158 - pyskl - INFO - Epoch [113][100/1027] lr: 3.736e-03, eta: 4:13:44, time: 0.633, data_time: 0.257, memory: 7959, top1_acc: 0.9187, top5_acc: 0.9862, loss_cls: 3.8594, loss: 3.8594 |
| 2025-05-16 03:46:12,743 - pyskl - INFO - Epoch [113][200/1027] lr: 3.718e-03, eta: 4:13:05, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9056, top5_acc: 0.9819, loss_cls: 4.0706, loss: 4.0706 |
| 2025-05-16 03:46:50,775 - pyskl - INFO - Epoch [113][300/1027] lr: 3.700e-03, eta: 4:12:25, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8981, top5_acc: 0.9862, loss_cls: 3.9091, loss: 3.9091 |
| 2025-05-16 03:47:28,620 - pyskl - INFO - Epoch [113][400/1027] lr: 3.682e-03, eta: 4:11:46, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 4.0539, loss: 4.0539 |
| 2025-05-16 03:48:05,991 - pyskl - INFO - Epoch [113][500/1027] lr: 3.664e-03, eta: 4:11:06, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 4.0338, loss: 4.0338 |
| 2025-05-16 03:48:43,559 - pyskl - INFO - Epoch [113][600/1027] lr: 3.646e-03, eta: 4:10:26, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8931, top5_acc: 0.9838, loss_cls: 4.0849, loss: 4.0849 |
| 2025-05-16 03:49:21,176 - pyskl - INFO - Epoch [113][700/1027] lr: 3.628e-03, eta: 4:09:47, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8919, top5_acc: 0.9831, loss_cls: 3.9721, loss: 3.9721 |
| 2025-05-16 03:49:58,942 - pyskl - INFO - Epoch [113][800/1027] lr: 3.610e-03, eta: 4:09:07, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9113, top5_acc: 0.9888, loss_cls: 3.9514, loss: 3.9514 |
| 2025-05-16 03:50:36,633 - pyskl - INFO - Epoch [113][900/1027] lr: 3.592e-03, eta: 4:08:28, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 4.1407, loss: 4.1407 |
| 2025-05-16 03:51:14,068 - pyskl - INFO - Epoch [113][1000/1027] lr: 3.574e-03, eta: 4:07:48, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 4.0283, loss: 4.0283 |
| 2025-05-16 03:51:25,079 - pyskl - INFO - Saving checkpoint at 113 epochs |
| 2025-05-16 03:52:02,668 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:52:02,741 - pyskl - INFO - |
| top1_acc 0.7003 |
| top5_acc 0.9142 |
| 2025-05-16 03:52:02,741 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:52:02,750 - pyskl - INFO - |
| mean_acc 0.6991 |
| 2025-05-16 03:52:02,751 - pyskl - INFO - Epoch(val) [113][413] top1_acc: 0.7003, top5_acc: 0.9142, mean_class_accuracy: 0.6991 |
| 2025-05-16 03:53:05,898 - pyskl - INFO - Epoch [114][100/1027] lr: 3.551e-03, eta: 4:07:03, time: 0.631, data_time: 0.258, memory: 7959, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 3.8183, loss: 3.8183 |
| 2025-05-16 03:53:43,456 - pyskl - INFO - Epoch [114][200/1027] lr: 3.534e-03, eta: 4:06:23, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9206, top5_acc: 0.9850, loss_cls: 3.9058, loss: 3.9058 |
| 2025-05-16 03:54:21,370 - pyskl - INFO - Epoch [114][300/1027] lr: 3.516e-03, eta: 4:05:44, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 3.8372, loss: 3.8372 |
| 2025-05-16 03:54:59,258 - pyskl - INFO - Epoch [114][400/1027] lr: 3.498e-03, eta: 4:05:04, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9081, top5_acc: 0.9881, loss_cls: 3.7781, loss: 3.7781 |
| 2025-05-16 03:55:36,731 - pyskl - INFO - Epoch [114][500/1027] lr: 3.481e-03, eta: 4:04:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 3.8530, loss: 3.8530 |
| 2025-05-16 03:56:14,396 - pyskl - INFO - Epoch [114][600/1027] lr: 3.463e-03, eta: 4:03:45, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8981, top5_acc: 0.9825, loss_cls: 3.9887, loss: 3.9887 |
| 2025-05-16 03:56:52,052 - pyskl - INFO - Epoch [114][700/1027] lr: 3.445e-03, eta: 4:03:05, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9144, top5_acc: 0.9875, loss_cls: 3.7968, loss: 3.7968 |
| 2025-05-16 03:57:29,863 - pyskl - INFO - Epoch [114][800/1027] lr: 3.428e-03, eta: 4:02:26, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8981, top5_acc: 0.9825, loss_cls: 4.0881, loss: 4.0881 |
| 2025-05-16 03:58:07,649 - pyskl - INFO - Epoch [114][900/1027] lr: 3.410e-03, eta: 4:01:46, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 4.0440, loss: 4.0440 |
| 2025-05-16 03:58:45,131 - pyskl - INFO - Epoch [114][1000/1027] lr: 3.393e-03, eta: 4:01:07, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9012, top5_acc: 0.9869, loss_cls: 3.9515, loss: 3.9515 |
| 2025-05-16 03:58:56,275 - pyskl - INFO - Saving checkpoint at 114 epochs |
| 2025-05-16 03:59:33,709 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:59:33,781 - pyskl - INFO - |
| top1_acc 0.7030 |
| top5_acc 0.9186 |
| 2025-05-16 03:59:33,781 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:59:33,789 - pyskl - INFO - |
| mean_acc 0.7016 |
| 2025-05-16 03:59:33,790 - pyskl - INFO - Epoch(val) [114][413] top1_acc: 0.7030, top5_acc: 0.9186, mean_class_accuracy: 0.7016 |
| 2025-05-16 04:00:35,937 - pyskl - INFO - Epoch [115][100/1027] lr: 3.371e-03, eta: 4:00:21, time: 0.621, data_time: 0.253, memory: 7959, top1_acc: 0.9187, top5_acc: 0.9950, loss_cls: 3.8587, loss: 3.8587 |
| 2025-05-16 04:01:12,818 - pyskl - INFO - Epoch [115][200/1027] lr: 3.353e-03, eta: 3:59:41, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.9325, top5_acc: 0.9912, loss_cls: 3.8595, loss: 3.8595 |
| 2025-05-16 04:01:50,438 - pyskl - INFO - Epoch [115][300/1027] lr: 3.336e-03, eta: 3:59:02, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9250, top5_acc: 0.9888, loss_cls: 3.8016, loss: 3.8016 |
| 2025-05-16 04:02:28,314 - pyskl - INFO - Epoch [115][400/1027] lr: 3.319e-03, eta: 3:58:22, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 3.8633, loss: 3.8633 |
| 2025-05-16 04:03:05,688 - pyskl - INFO - Epoch [115][500/1027] lr: 3.301e-03, eta: 3:57:42, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 3.9295, loss: 3.9295 |
| 2025-05-16 04:03:43,171 - pyskl - INFO - Epoch [115][600/1027] lr: 3.284e-03, eta: 3:57:03, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 3.8890, loss: 3.8890 |
| 2025-05-16 04:04:20,955 - pyskl - INFO - Epoch [115][700/1027] lr: 3.267e-03, eta: 3:56:23, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9094, top5_acc: 0.9894, loss_cls: 3.9718, loss: 3.9718 |
| 2025-05-16 04:04:58,628 - pyskl - INFO - Epoch [115][800/1027] lr: 3.250e-03, eta: 3:55:44, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8981, top5_acc: 0.9781, loss_cls: 3.9067, loss: 3.9067 |
| 2025-05-16 04:05:36,446 - pyskl - INFO - Epoch [115][900/1027] lr: 3.233e-03, eta: 3:55:04, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 4.0278, loss: 4.0278 |
| 2025-05-16 04:06:13,845 - pyskl - INFO - Epoch [115][1000/1027] lr: 3.215e-03, eta: 3:54:25, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 4.0104, loss: 4.0104 |
| 2025-05-16 04:06:24,897 - pyskl - INFO - Saving checkpoint at 115 epochs |
| 2025-05-16 04:07:02,719 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:07:02,791 - pyskl - INFO - |
| top1_acc 0.6969 |
| top5_acc 0.9147 |
| 2025-05-16 04:07:02,791 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:07:02,800 - pyskl - INFO - |
| mean_acc 0.6969 |
| 2025-05-16 04:07:02,802 - pyskl - INFO - Epoch(val) [115][413] top1_acc: 0.6969, top5_acc: 0.9147, mean_class_accuracy: 0.6969 |
| 2025-05-16 04:08:05,846 - pyskl - INFO - Epoch [116][100/1027] lr: 3.194e-03, eta: 3:53:39, time: 0.630, data_time: 0.255, memory: 7959, top1_acc: 0.9413, top5_acc: 0.9919, loss_cls: 3.7752, loss: 3.7752 |
| 2025-05-16 04:08:43,213 - pyskl - INFO - Epoch [116][200/1027] lr: 3.177e-03, eta: 3:52:59, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9344, top5_acc: 0.9894, loss_cls: 3.8723, loss: 3.8723 |
| 2025-05-16 04:09:21,130 - pyskl - INFO - Epoch [116][300/1027] lr: 3.160e-03, eta: 3:52:20, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 3.8582, loss: 3.8582 |
| 2025-05-16 04:09:59,102 - pyskl - INFO - Epoch [116][400/1027] lr: 3.143e-03, eta: 3:51:41, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 3.7455, loss: 3.7455 |
| 2025-05-16 04:10:36,539 - pyskl - INFO - Epoch [116][500/1027] lr: 3.126e-03, eta: 3:51:01, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9175, top5_acc: 0.9862, loss_cls: 3.8169, loss: 3.8169 |
| 2025-05-16 04:11:13,935 - pyskl - INFO - Epoch [116][600/1027] lr: 3.109e-03, eta: 3:50:21, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 3.8141, loss: 3.8141 |
| 2025-05-16 04:11:51,404 - pyskl - INFO - Epoch [116][700/1027] lr: 3.092e-03, eta: 3:49:42, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9056, top5_acc: 0.9856, loss_cls: 4.0555, loss: 4.0555 |
| 2025-05-16 04:12:29,159 - pyskl - INFO - Epoch [116][800/1027] lr: 3.076e-03, eta: 3:49:02, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 3.8384, loss: 3.8384 |
| 2025-05-16 04:13:06,949 - pyskl - INFO - Epoch [116][900/1027] lr: 3.059e-03, eta: 3:48:23, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 3.8218, loss: 3.8218 |
| 2025-05-16 04:13:44,455 - pyskl - INFO - Epoch [116][1000/1027] lr: 3.042e-03, eta: 3:47:43, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9094, top5_acc: 0.9894, loss_cls: 3.9172, loss: 3.9172 |
| 2025-05-16 04:13:55,391 - pyskl - INFO - Saving checkpoint at 116 epochs |
| 2025-05-16 04:14:32,885 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:14:32,958 - pyskl - INFO - |
| top1_acc 0.7024 |
| top5_acc 0.9154 |
| 2025-05-16 04:14:32,958 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:14:32,966 - pyskl - INFO - |
| mean_acc 0.7012 |
| 2025-05-16 04:14:32,968 - pyskl - INFO - Epoch(val) [116][413] top1_acc: 0.7024, top5_acc: 0.9154, mean_class_accuracy: 0.7012 |
| 2025-05-16 04:15:35,974 - pyskl - INFO - Epoch [117][100/1027] lr: 3.021e-03, eta: 3:46:57, time: 0.630, data_time: 0.256, memory: 7959, top1_acc: 0.9456, top5_acc: 0.9944, loss_cls: 3.6558, loss: 3.6558 |
| 2025-05-16 04:16:13,405 - pyskl - INFO - Epoch [117][200/1027] lr: 3.004e-03, eta: 3:46:18, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9506, top5_acc: 0.9944, loss_cls: 3.7064, loss: 3.7064 |
| 2025-05-16 04:16:51,332 - pyskl - INFO - Epoch [117][300/1027] lr: 2.988e-03, eta: 3:45:38, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9369, top5_acc: 0.9919, loss_cls: 3.7846, loss: 3.7846 |
| 2025-05-16 04:17:29,357 - pyskl - INFO - Epoch [117][400/1027] lr: 2.971e-03, eta: 3:44:59, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9356, top5_acc: 0.9906, loss_cls: 3.8529, loss: 3.8529 |
| 2025-05-16 04:18:06,899 - pyskl - INFO - Epoch [117][500/1027] lr: 2.955e-03, eta: 3:44:19, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9463, top5_acc: 0.9931, loss_cls: 3.8052, loss: 3.8052 |
| 2025-05-16 04:18:44,359 - pyskl - INFO - Epoch [117][600/1027] lr: 2.938e-03, eta: 3:43:40, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9244, top5_acc: 0.9900, loss_cls: 3.7942, loss: 3.7942 |
| 2025-05-16 04:19:21,850 - pyskl - INFO - Epoch [117][700/1027] lr: 2.922e-03, eta: 3:43:00, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9275, top5_acc: 0.9894, loss_cls: 3.7050, loss: 3.7050 |
| 2025-05-16 04:19:59,696 - pyskl - INFO - Epoch [117][800/1027] lr: 2.906e-03, eta: 3:42:21, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 3.7777, loss: 3.7777 |
| 2025-05-16 04:20:37,258 - pyskl - INFO - Epoch [117][900/1027] lr: 2.889e-03, eta: 3:41:41, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 3.7780, loss: 3.7780 |
| 2025-05-16 04:21:14,684 - pyskl - INFO - Epoch [117][1000/1027] lr: 2.873e-03, eta: 3:41:02, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9206, top5_acc: 0.9881, loss_cls: 3.8170, loss: 3.8170 |
| 2025-05-16 04:21:25,821 - pyskl - INFO - Saving checkpoint at 117 epochs |
| 2025-05-16 04:22:03,252 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:22:03,324 - pyskl - INFO - |
| top1_acc 0.6937 |
| top5_acc 0.9123 |
| 2025-05-16 04:22:03,325 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:22:03,333 - pyskl - INFO - |
| mean_acc 0.6913 |
| 2025-05-16 04:22:03,335 - pyskl - INFO - Epoch(val) [117][413] top1_acc: 0.6937, top5_acc: 0.9123, mean_class_accuracy: 0.6913 |
| 2025-05-16 04:23:06,530 - pyskl - INFO - Epoch [118][100/1027] lr: 2.853e-03, eta: 3:40:16, time: 0.632, data_time: 0.258, memory: 7959, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 3.7015, loss: 3.7015 |
| 2025-05-16 04:23:44,013 - pyskl - INFO - Epoch [118][200/1027] lr: 2.836e-03, eta: 3:39:36, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 3.7305, loss: 3.7305 |
| 2025-05-16 04:24:21,780 - pyskl - INFO - Epoch [118][300/1027] lr: 2.820e-03, eta: 3:38:57, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 3.6416, loss: 3.6416 |
| 2025-05-16 04:24:59,809 - pyskl - INFO - Epoch [118][400/1027] lr: 2.804e-03, eta: 3:38:17, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 3.8189, loss: 3.8189 |
| 2025-05-16 04:25:37,457 - pyskl - INFO - Epoch [118][500/1027] lr: 2.788e-03, eta: 3:37:38, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 3.5882, loss: 3.5882 |
| 2025-05-16 04:26:15,344 - pyskl - INFO - Epoch [118][600/1027] lr: 2.772e-03, eta: 3:36:58, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 3.7848, loss: 3.7848 |
| 2025-05-16 04:26:52,908 - pyskl - INFO - Epoch [118][700/1027] lr: 2.756e-03, eta: 3:36:19, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9375, top5_acc: 0.9925, loss_cls: 3.7681, loss: 3.7681 |
| 2025-05-16 04:27:30,614 - pyskl - INFO - Epoch [118][800/1027] lr: 2.740e-03, eta: 3:35:39, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 3.7207, loss: 3.7207 |
| 2025-05-16 04:28:08,366 - pyskl - INFO - Epoch [118][900/1027] lr: 2.724e-03, eta: 3:35:00, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 3.8125, loss: 3.8125 |
| 2025-05-16 04:28:45,798 - pyskl - INFO - Epoch [118][1000/1027] lr: 2.708e-03, eta: 3:34:20, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 3.8275, loss: 3.8275 |
| 2025-05-16 04:28:56,680 - pyskl - INFO - Saving checkpoint at 118 epochs |
| 2025-05-16 04:29:33,989 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:29:34,078 - pyskl - INFO - |
| top1_acc 0.7009 |
| top5_acc 0.9173 |
| 2025-05-16 04:29:34,078 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:29:34,088 - pyskl - INFO - |
| mean_acc 0.7017 |
| 2025-05-16 04:29:34,090 - pyskl - INFO - Epoch(val) [118][413] top1_acc: 0.7009, top5_acc: 0.9173, mean_class_accuracy: 0.7017 |
| 2025-05-16 04:30:37,276 - pyskl - INFO - Epoch [119][100/1027] lr: 2.688e-03, eta: 3:33:34, time: 0.632, data_time: 0.257, memory: 7959, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 3.6388, loss: 3.6388 |
| 2025-05-16 04:31:14,678 - pyskl - INFO - Epoch [119][200/1027] lr: 2.672e-03, eta: 3:32:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 3.6592, loss: 3.6592 |
| 2025-05-16 04:31:52,398 - pyskl - INFO - Epoch [119][300/1027] lr: 2.657e-03, eta: 3:32:15, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 3.5868, loss: 3.5868 |
| 2025-05-16 04:32:30,130 - pyskl - INFO - Epoch [119][400/1027] lr: 2.641e-03, eta: 3:31:36, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 3.7249, loss: 3.7249 |
| 2025-05-16 04:33:07,771 - pyskl - INFO - Epoch [119][500/1027] lr: 2.625e-03, eta: 3:30:56, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 3.7342, loss: 3.7342 |
| 2025-05-16 04:33:45,338 - pyskl - INFO - Epoch [119][600/1027] lr: 2.610e-03, eta: 3:30:17, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 3.7153, loss: 3.7153 |
| 2025-05-16 04:34:22,937 - pyskl - INFO - Epoch [119][700/1027] lr: 2.594e-03, eta: 3:29:37, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 3.7911, loss: 3.7911 |
| 2025-05-16 04:35:00,937 - pyskl - INFO - Epoch [119][800/1027] lr: 2.579e-03, eta: 3:28:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 3.8156, loss: 3.8156 |
| 2025-05-16 04:35:38,871 - pyskl - INFO - Epoch [119][900/1027] lr: 2.563e-03, eta: 3:28:18, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 3.7634, loss: 3.7634 |
| 2025-05-16 04:36:16,516 - pyskl - INFO - Epoch [119][1000/1027] lr: 2.548e-03, eta: 3:27:39, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 3.8320, loss: 3.8320 |
| 2025-05-16 04:36:27,394 - pyskl - INFO - Saving checkpoint at 119 epochs |
| 2025-05-16 04:37:04,734 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:37:04,807 - pyskl - INFO - |
| top1_acc 0.6915 |
| top5_acc 0.9135 |
| 2025-05-16 04:37:04,807 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:37:04,815 - pyskl - INFO - |
| mean_acc 0.6935 |
| 2025-05-16 04:37:04,817 - pyskl - INFO - Epoch(val) [119][413] top1_acc: 0.6915, top5_acc: 0.9135, mean_class_accuracy: 0.6935 |
| 2025-05-16 04:38:07,760 - pyskl - INFO - Epoch [120][100/1027] lr: 2.528e-03, eta: 3:26:53, time: 0.629, data_time: 0.255, memory: 7959, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 3.6008, loss: 3.6008 |
| 2025-05-16 04:38:45,177 - pyskl - INFO - Epoch [120][200/1027] lr: 2.513e-03, eta: 3:26:13, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 3.5883, loss: 3.5883 |
| 2025-05-16 04:39:22,811 - pyskl - INFO - Epoch [120][300/1027] lr: 2.497e-03, eta: 3:25:34, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 3.7055, loss: 3.7055 |
| 2025-05-16 04:40:00,617 - pyskl - INFO - Epoch [120][400/1027] lr: 2.482e-03, eta: 3:24:54, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 3.6365, loss: 3.6365 |
| 2025-05-16 04:40:38,517 - pyskl - INFO - Epoch [120][500/1027] lr: 2.467e-03, eta: 3:24:15, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 3.6087, loss: 3.6087 |
| 2025-05-16 04:41:16,052 - pyskl - INFO - Epoch [120][600/1027] lr: 2.452e-03, eta: 3:23:35, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 3.6427, loss: 3.6427 |
| 2025-05-16 04:41:53,758 - pyskl - INFO - Epoch [120][700/1027] lr: 2.437e-03, eta: 3:22:56, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 3.6749, loss: 3.6749 |
| 2025-05-16 04:42:31,645 - pyskl - INFO - Epoch [120][800/1027] lr: 2.422e-03, eta: 3:22:16, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 3.5356, loss: 3.5356 |
| 2025-05-16 04:43:09,469 - pyskl - INFO - Epoch [120][900/1027] lr: 2.407e-03, eta: 3:21:37, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 3.5852, loss: 3.5852 |
| 2025-05-16 04:43:46,922 - pyskl - INFO - Epoch [120][1000/1027] lr: 2.391e-03, eta: 3:20:58, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 3.7381, loss: 3.7381 |
| 2025-05-16 04:43:57,793 - pyskl - INFO - Saving checkpoint at 120 epochs |
| 2025-05-16 04:44:34,931 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:44:35,002 - pyskl - INFO - |
| top1_acc 0.7045 |
| top5_acc 0.9154 |
| 2025-05-16 04:44:35,002 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:44:35,010 - pyskl - INFO - |
| mean_acc 0.7032 |
| 2025-05-16 04:44:35,067 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_110.pth was removed |
| 2025-05-16 04:44:36,550 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. |
| 2025-05-16 04:44:36,552 - pyskl - INFO - Best top1_acc is 0.7045 at 120 epoch. |
| 2025-05-16 04:44:36,555 - pyskl - INFO - Epoch(val) [120][413] top1_acc: 0.7045, top5_acc: 0.9154, mean_class_accuracy: 0.7032 |
| 2025-05-16 04:45:39,792 - pyskl - INFO - Epoch [121][100/1027] lr: 2.372e-03, eta: 3:20:11, time: 0.632, data_time: 0.258, memory: 7959, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 3.5502, loss: 3.5502 |
| 2025-05-16 04:46:17,339 - pyskl - INFO - Epoch [121][200/1027] lr: 2.358e-03, eta: 3:19:32, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 3.5588, loss: 3.5588 |
| 2025-05-16 04:46:55,030 - pyskl - INFO - Epoch [121][300/1027] lr: 2.343e-03, eta: 3:18:52, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 3.5877, loss: 3.5877 |
| 2025-05-16 04:47:32,949 - pyskl - INFO - Epoch [121][400/1027] lr: 2.328e-03, eta: 3:18:13, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 3.4480, loss: 3.4480 |
| 2025-05-16 04:48:10,512 - pyskl - INFO - Epoch [121][500/1027] lr: 2.313e-03, eta: 3:17:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 3.4935, loss: 3.4935 |
| 2025-05-16 04:48:48,031 - pyskl - INFO - Epoch [121][600/1027] lr: 2.298e-03, eta: 3:16:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 3.6631, loss: 3.6631 |
| 2025-05-16 04:49:25,647 - pyskl - INFO - Epoch [121][700/1027] lr: 2.284e-03, eta: 3:16:14, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 3.6091, loss: 3.6091 |
| 2025-05-16 04:50:03,503 - pyskl - INFO - Epoch [121][800/1027] lr: 2.269e-03, eta: 3:15:35, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 3.6891, loss: 3.6891 |
| 2025-05-16 04:50:41,213 - pyskl - INFO - Epoch [121][900/1027] lr: 2.254e-03, eta: 3:14:56, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 3.6070, loss: 3.6070 |
| 2025-05-16 04:51:18,554 - pyskl - INFO - Epoch [121][1000/1027] lr: 2.240e-03, eta: 3:14:16, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 3.5863, loss: 3.5863 |
| 2025-05-16 04:51:29,659 - pyskl - INFO - Saving checkpoint at 121 epochs |
| 2025-05-16 04:52:06,917 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:52:06,989 - pyskl - INFO - |
| top1_acc 0.7154 |
| top5_acc 0.9203 |
| 2025-05-16 04:52:06,989 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:52:06,997 - pyskl - INFO - |
| mean_acc 0.7165 |
| 2025-05-16 04:52:07,054 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_120.pth was removed |
| 2025-05-16 04:52:08,559 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. |
| 2025-05-16 04:52:08,561 - pyskl - INFO - Best top1_acc is 0.7154 at 121 epoch. |
| 2025-05-16 04:52:08,564 - pyskl - INFO - Epoch(val) [121][413] top1_acc: 0.7154, top5_acc: 0.9203, mean_class_accuracy: 0.7165 |
| 2025-05-16 04:53:11,266 - pyskl - INFO - Epoch [122][100/1027] lr: 2.221e-03, eta: 3:13:29, time: 0.627, data_time: 0.253, memory: 7959, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 3.5373, loss: 3.5373 |
| 2025-05-16 04:53:48,881 - pyskl - INFO - Epoch [122][200/1027] lr: 2.207e-03, eta: 3:12:50, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 3.5825, loss: 3.5825 |
| 2025-05-16 04:54:26,708 - pyskl - INFO - Epoch [122][300/1027] lr: 2.192e-03, eta: 3:12:11, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 3.5645, loss: 3.5645 |
| 2025-05-16 04:55:04,683 - pyskl - INFO - Epoch [122][400/1027] lr: 2.178e-03, eta: 3:11:31, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 3.5102, loss: 3.5102 |
| 2025-05-16 04:55:42,316 - pyskl - INFO - Epoch [122][500/1027] lr: 2.164e-03, eta: 3:10:52, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 3.5285, loss: 3.5285 |
| 2025-05-16 04:56:20,003 - pyskl - INFO - Epoch [122][600/1027] lr: 2.149e-03, eta: 3:10:12, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 3.4752, loss: 3.4752 |
| 2025-05-16 04:56:57,548 - pyskl - INFO - Epoch [122][700/1027] lr: 2.135e-03, eta: 3:09:33, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 3.5437, loss: 3.5437 |
| 2025-05-16 04:57:35,365 - pyskl - INFO - Epoch [122][800/1027] lr: 2.121e-03, eta: 3:08:53, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9587, top5_acc: 0.9950, loss_cls: 3.5151, loss: 3.5151 |
| 2025-05-16 04:58:13,033 - pyskl - INFO - Epoch [122][900/1027] lr: 2.107e-03, eta: 3:08:14, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 3.5902, loss: 3.5902 |
| 2025-05-16 04:58:50,356 - pyskl - INFO - Epoch [122][1000/1027] lr: 2.092e-03, eta: 3:07:34, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 3.6307, loss: 3.6307 |
| 2025-05-16 04:59:01,420 - pyskl - INFO - Saving checkpoint at 122 epochs |
| 2025-05-16 04:59:38,699 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:59:38,771 - pyskl - INFO - |
| top1_acc 0.7080 |
| top5_acc 0.9179 |
| 2025-05-16 04:59:38,771 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:59:38,779 - pyskl - INFO - |
| mean_acc 0.7094 |
| 2025-05-16 04:59:38,781 - pyskl - INFO - Epoch(val) [122][413] top1_acc: 0.7080, top5_acc: 0.9179, mean_class_accuracy: 0.7094 |
| 2025-05-16 05:00:41,573 - pyskl - INFO - Epoch [123][100/1027] lr: 2.075e-03, eta: 3:06:48, time: 0.628, data_time: 0.254, memory: 7959, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 3.4612, loss: 3.4612 |
| 2025-05-16 05:01:18,966 - pyskl - INFO - Epoch [123][200/1027] lr: 2.060e-03, eta: 3:06:08, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 3.4528, loss: 3.4528 |
| 2025-05-16 05:01:56,414 - pyskl - INFO - Epoch [123][300/1027] lr: 2.046e-03, eta: 3:05:29, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 3.5767, loss: 3.5767 |
| 2025-05-16 05:02:34,458 - pyskl - INFO - Epoch [123][400/1027] lr: 2.033e-03, eta: 3:04:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 3.4937, loss: 3.4937 |
| 2025-05-16 05:03:12,181 - pyskl - INFO - Epoch [123][500/1027] lr: 2.019e-03, eta: 3:04:10, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 3.5299, loss: 3.5299 |
| 2025-05-16 05:03:50,168 - pyskl - INFO - Epoch [123][600/1027] lr: 2.005e-03, eta: 3:03:31, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 3.4693, loss: 3.4693 |
| 2025-05-16 05:04:28,126 - pyskl - INFO - Epoch [123][700/1027] lr: 1.991e-03, eta: 3:02:51, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 3.5082, loss: 3.5082 |
| 2025-05-16 05:05:06,029 - pyskl - INFO - Epoch [123][800/1027] lr: 1.977e-03, eta: 3:02:12, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 3.4577, loss: 3.4577 |
| 2025-05-16 05:05:43,996 - pyskl - INFO - Epoch [123][900/1027] lr: 1.963e-03, eta: 3:01:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 3.5150, loss: 3.5150 |
| 2025-05-16 05:06:21,548 - pyskl - INFO - Epoch [123][1000/1027] lr: 1.950e-03, eta: 3:00:53, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 3.5396, loss: 3.5396 |
| 2025-05-16 05:06:32,501 - pyskl - INFO - Saving checkpoint at 123 epochs |
| 2025-05-16 05:07:09,894 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:07:09,967 - pyskl - INFO - |
| top1_acc 0.7030 |
| top5_acc 0.9173 |
| 2025-05-16 05:07:09,967 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:07:09,975 - pyskl - INFO - |
| mean_acc 0.7022 |
| 2025-05-16 05:07:09,977 - pyskl - INFO - Epoch(val) [123][413] top1_acc: 0.7030, top5_acc: 0.9173, mean_class_accuracy: 0.7022 |
| 2025-05-16 05:08:13,105 - pyskl - INFO - Epoch [124][100/1027] lr: 1.932e-03, eta: 3:00:06, time: 0.631, data_time: 0.255, memory: 7959, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 3.3899, loss: 3.3899 |
| 2025-05-16 05:08:50,558 - pyskl - INFO - Epoch [124][200/1027] lr: 1.919e-03, eta: 2:59:27, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 3.4497, loss: 3.4497 |
| 2025-05-16 05:09:28,070 - pyskl - INFO - Epoch [124][300/1027] lr: 1.905e-03, eta: 2:58:47, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 3.5412, loss: 3.5412 |
| 2025-05-16 05:10:05,855 - pyskl - INFO - Epoch [124][400/1027] lr: 1.892e-03, eta: 2:58:08, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 3.5849, loss: 3.5849 |
| 2025-05-16 05:10:43,682 - pyskl - INFO - Epoch [124][500/1027] lr: 1.878e-03, eta: 2:57:29, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 3.3718, loss: 3.3718 |
| 2025-05-16 05:11:21,324 - pyskl - INFO - Epoch [124][600/1027] lr: 1.865e-03, eta: 2:56:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 3.4596, loss: 3.4596 |
| 2025-05-16 05:11:58,882 - pyskl - INFO - Epoch [124][700/1027] lr: 1.851e-03, eta: 2:56:10, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 3.5978, loss: 3.5978 |
| 2025-05-16 05:12:37,095 - pyskl - INFO - Epoch [124][800/1027] lr: 1.838e-03, eta: 2:55:31, time: 0.382, data_time: 0.001, memory: 7959, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 3.4658, loss: 3.4658 |
| 2025-05-16 05:13:14,958 - pyskl - INFO - Epoch [124][900/1027] lr: 1.825e-03, eta: 2:54:51, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 3.4999, loss: 3.4999 |
| 2025-05-16 05:13:52,536 - pyskl - INFO - Epoch [124][1000/1027] lr: 1.812e-03, eta: 2:54:12, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 3.5067, loss: 3.5067 |
| 2025-05-16 05:14:03,473 - pyskl - INFO - Saving checkpoint at 124 epochs |
| 2025-05-16 05:14:40,996 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:14:41,078 - pyskl - INFO - |
| top1_acc 0.7050 |
| top5_acc 0.9197 |
| 2025-05-16 05:14:41,079 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:14:41,088 - pyskl - INFO - |
| mean_acc 0.7054 |
| 2025-05-16 05:14:41,090 - pyskl - INFO - Epoch(val) [124][413] top1_acc: 0.7050, top5_acc: 0.9197, mean_class_accuracy: 0.7054 |
| 2025-05-16 05:15:44,390 - pyskl - INFO - Epoch [125][100/1027] lr: 1.795e-03, eta: 2:53:25, time: 0.633, data_time: 0.260, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 3.4881, loss: 3.4881 |
| 2025-05-16 05:16:21,733 - pyskl - INFO - Epoch [125][200/1027] lr: 1.782e-03, eta: 2:52:45, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 3.4077, loss: 3.4077 |
| 2025-05-16 05:16:59,198 - pyskl - INFO - Epoch [125][300/1027] lr: 1.769e-03, eta: 2:52:06, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 3.3732, loss: 3.3732 |
| 2025-05-16 05:17:37,109 - pyskl - INFO - Epoch [125][400/1027] lr: 1.756e-03, eta: 2:51:27, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 3.3591, loss: 3.3591 |
| 2025-05-16 05:18:14,896 - pyskl - INFO - Epoch [125][500/1027] lr: 1.743e-03, eta: 2:50:47, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 3.3670, loss: 3.3670 |
| 2025-05-16 05:18:52,589 - pyskl - INFO - Epoch [125][600/1027] lr: 1.730e-03, eta: 2:50:08, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 3.4386, loss: 3.4386 |
| 2025-05-16 05:19:29,953 - pyskl - INFO - Epoch [125][700/1027] lr: 1.717e-03, eta: 2:49:28, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 3.5069, loss: 3.5069 |
| 2025-05-16 05:20:07,910 - pyskl - INFO - Epoch [125][800/1027] lr: 1.704e-03, eta: 2:48:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 3.4873, loss: 3.4873 |
| 2025-05-16 05:20:45,599 - pyskl - INFO - Epoch [125][900/1027] lr: 1.691e-03, eta: 2:48:10, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 3.4476, loss: 3.4476 |
| 2025-05-16 05:21:22,887 - pyskl - INFO - Epoch [125][1000/1027] lr: 1.678e-03, eta: 2:47:30, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 3.5387, loss: 3.5387 |
| 2025-05-16 05:21:34,099 - pyskl - INFO - Saving checkpoint at 125 epochs |
| 2025-05-16 05:22:11,652 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:22:11,724 - pyskl - INFO - |
| top1_acc 0.7128 |
| top5_acc 0.9210 |
| 2025-05-16 05:22:11,724 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:22:11,732 - pyskl - INFO - |
| mean_acc 0.7159 |
| 2025-05-16 05:22:11,733 - pyskl - INFO - Epoch(val) [125][413] top1_acc: 0.7128, top5_acc: 0.9210, mean_class_accuracy: 0.7159 |
| 2025-05-16 05:23:14,724 - pyskl - INFO - Epoch [126][100/1027] lr: 1.662e-03, eta: 2:46:43, time: 0.630, data_time: 0.256, memory: 7959, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 3.3755, loss: 3.3755 |
| 2025-05-16 05:23:52,015 - pyskl - INFO - Epoch [126][200/1027] lr: 1.649e-03, eta: 2:46:04, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 3.3623, loss: 3.3623 |
| 2025-05-16 05:24:29,452 - pyskl - INFO - Epoch [126][300/1027] lr: 1.637e-03, eta: 2:45:24, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 3.4072, loss: 3.4072 |
| 2025-05-16 05:25:07,326 - pyskl - INFO - Epoch [126][400/1027] lr: 1.624e-03, eta: 2:44:45, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 3.4099, loss: 3.4099 |
| 2025-05-16 05:25:45,013 - pyskl - INFO - Epoch [126][500/1027] lr: 1.612e-03, eta: 2:44:06, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 3.3529, loss: 3.3529 |
| 2025-05-16 05:26:22,501 - pyskl - INFO - Epoch [126][600/1027] lr: 1.599e-03, eta: 2:43:26, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 3.3605, loss: 3.3605 |
| 2025-05-16 05:27:00,339 - pyskl - INFO - Epoch [126][700/1027] lr: 1.587e-03, eta: 2:42:47, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 3.2756, loss: 3.2756 |
| 2025-05-16 05:27:38,154 - pyskl - INFO - Epoch [126][800/1027] lr: 1.574e-03, eta: 2:42:07, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 3.4158, loss: 3.4158 |
| 2025-05-16 05:28:15,664 - pyskl - INFO - Epoch [126][900/1027] lr: 1.562e-03, eta: 2:41:28, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 3.3497, loss: 3.3497 |
| 2025-05-16 05:28:52,996 - pyskl - INFO - Epoch [126][1000/1027] lr: 1.550e-03, eta: 2:40:49, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 3.4655, loss: 3.4655 |
| 2025-05-16 05:29:04,008 - pyskl - INFO - Saving checkpoint at 126 epochs |
| 2025-05-16 05:29:41,422 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:29:41,494 - pyskl - INFO - |
| top1_acc 0.7130 |
| top5_acc 0.9226 |
| 2025-05-16 05:29:41,494 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:29:41,501 - pyskl - INFO - |
| mean_acc 0.7108 |
| 2025-05-16 05:29:41,503 - pyskl - INFO - Epoch(val) [126][413] top1_acc: 0.7130, top5_acc: 0.9226, mean_class_accuracy: 0.7108 |
| 2025-05-16 05:30:44,727 - pyskl - INFO - Epoch [127][100/1027] lr: 1.534e-03, eta: 2:40:01, time: 0.632, data_time: 0.257, memory: 7959, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 3.3475, loss: 3.3475 |
| 2025-05-16 05:31:22,235 - pyskl - INFO - Epoch [127][200/1027] lr: 1.522e-03, eta: 2:39:22, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 3.4129, loss: 3.4129 |
| 2025-05-16 05:31:59,991 - pyskl - INFO - Epoch [127][300/1027] lr: 1.510e-03, eta: 2:38:43, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 3.4213, loss: 3.4213 |
| 2025-05-16 05:32:37,815 - pyskl - INFO - Epoch [127][400/1027] lr: 1.498e-03, eta: 2:38:03, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 3.3881, loss: 3.3881 |
| 2025-05-16 05:33:15,544 - pyskl - INFO - Epoch [127][500/1027] lr: 1.485e-03, eta: 2:37:24, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 3.3109, loss: 3.3109 |
| 2025-05-16 05:33:52,993 - pyskl - INFO - Epoch [127][600/1027] lr: 1.473e-03, eta: 2:36:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 3.3082, loss: 3.3082 |
| 2025-05-16 05:34:30,634 - pyskl - INFO - Epoch [127][700/1027] lr: 1.461e-03, eta: 2:36:05, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 3.4750, loss: 3.4750 |
| 2025-05-16 05:35:08,366 - pyskl - INFO - Epoch [127][800/1027] lr: 1.450e-03, eta: 2:35:26, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 3.3872, loss: 3.3872 |
| 2025-05-16 05:35:45,844 - pyskl - INFO - Epoch [127][900/1027] lr: 1.438e-03, eta: 2:34:46, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 3.4055, loss: 3.4055 |
| 2025-05-16 05:36:23,219 - pyskl - INFO - Epoch [127][1000/1027] lr: 1.426e-03, eta: 2:34:07, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 3.3757, loss: 3.3757 |
| 2025-05-16 05:36:34,246 - pyskl - INFO - Saving checkpoint at 127 epochs |
| 2025-05-16 05:37:11,557 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:37:11,628 - pyskl - INFO - |
| top1_acc 0.7197 |
| top5_acc 0.9212 |
| 2025-05-16 05:37:11,628 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:37:11,635 - pyskl - INFO - |
| mean_acc 0.7194 |
| 2025-05-16 05:37:11,693 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_121.pth was removed |
| 2025-05-16 05:37:13,221 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. |
| 2025-05-16 05:37:13,222 - pyskl - INFO - Best top1_acc is 0.7197 at 127 epoch. |
| 2025-05-16 05:37:13,225 - pyskl - INFO - Epoch(val) [127][413] top1_acc: 0.7197, top5_acc: 0.9212, mean_class_accuracy: 0.7194 |
| 2025-05-16 05:38:16,126 - pyskl - INFO - Epoch [128][100/1027] lr: 1.411e-03, eta: 2:33:20, time: 0.629, data_time: 0.255, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.2510, loss: 3.2510 |
| 2025-05-16 05:38:53,462 - pyskl - INFO - Epoch [128][200/1027] lr: 1.399e-03, eta: 2:32:40, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 3.3248, loss: 3.3248 |
| 2025-05-16 05:39:30,855 - pyskl - INFO - Epoch [128][300/1027] lr: 1.387e-03, eta: 2:32:01, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 3.3893, loss: 3.3893 |
| 2025-05-16 05:40:08,909 - pyskl - INFO - Epoch [128][400/1027] lr: 1.376e-03, eta: 2:31:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 3.2730, loss: 3.2730 |
| 2025-05-16 05:40:46,908 - pyskl - INFO - Epoch [128][500/1027] lr: 1.364e-03, eta: 2:30:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 3.3883, loss: 3.3883 |
| 2025-05-16 05:41:24,511 - pyskl - INFO - Epoch [128][600/1027] lr: 1.353e-03, eta: 2:30:03, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 3.3137, loss: 3.3137 |
| 2025-05-16 05:42:01,997 - pyskl - INFO - Epoch [128][700/1027] lr: 1.341e-03, eta: 2:29:23, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 3.2904, loss: 3.2904 |
| 2025-05-16 05:42:39,737 - pyskl - INFO - Epoch [128][800/1027] lr: 1.330e-03, eta: 2:28:44, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 3.3330, loss: 3.3330 |
| 2025-05-16 05:43:17,381 - pyskl - INFO - Epoch [128][900/1027] lr: 1.318e-03, eta: 2:28:05, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 3.3348, loss: 3.3348 |
| 2025-05-16 05:43:54,717 - pyskl - INFO - Epoch [128][1000/1027] lr: 1.307e-03, eta: 2:27:25, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 3.3033, loss: 3.3033 |
| 2025-05-16 05:44:05,539 - pyskl - INFO - Saving checkpoint at 128 epochs |
| 2025-05-16 05:44:42,910 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:44:42,980 - pyskl - INFO - |
| top1_acc 0.7128 |
| top5_acc 0.9183 |
| 2025-05-16 05:44:42,980 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:44:42,988 - pyskl - INFO - |
| mean_acc 0.7096 |
| 2025-05-16 05:44:42,990 - pyskl - INFO - Epoch(val) [128][413] top1_acc: 0.7128, top5_acc: 0.9183, mean_class_accuracy: 0.7096 |
| 2025-05-16 05:45:46,186 - pyskl - INFO - Epoch [129][100/1027] lr: 1.292e-03, eta: 2:26:38, time: 0.632, data_time: 0.256, memory: 7959, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 3.3297, loss: 3.3297 |
| 2025-05-16 05:46:23,819 - pyskl - INFO - Epoch [129][200/1027] lr: 1.281e-03, eta: 2:25:59, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 3.3701, loss: 3.3701 |
| 2025-05-16 05:47:01,395 - pyskl - INFO - Epoch [129][300/1027] lr: 1.270e-03, eta: 2:25:19, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 3.3336, loss: 3.3336 |
| 2025-05-16 05:47:39,499 - pyskl - INFO - Epoch [129][400/1027] lr: 1.259e-03, eta: 2:24:40, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 3.2816, loss: 3.2816 |
| 2025-05-16 05:48:17,360 - pyskl - INFO - Epoch [129][500/1027] lr: 1.248e-03, eta: 2:24:01, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 3.3227, loss: 3.3227 |
| 2025-05-16 05:48:54,993 - pyskl - INFO - Epoch [129][600/1027] lr: 1.237e-03, eta: 2:23:21, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 3.3207, loss: 3.3207 |
| 2025-05-16 05:49:32,764 - pyskl - INFO - Epoch [129][700/1027] lr: 1.226e-03, eta: 2:22:42, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 3.2995, loss: 3.2995 |
| 2025-05-16 05:50:10,719 - pyskl - INFO - Epoch [129][800/1027] lr: 1.215e-03, eta: 2:22:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 3.2899, loss: 3.2899 |
| 2025-05-16 05:50:48,385 - pyskl - INFO - Epoch [129][900/1027] lr: 1.204e-03, eta: 2:21:23, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 3.2344, loss: 3.2344 |
| 2025-05-16 05:51:25,683 - pyskl - INFO - Epoch [129][1000/1027] lr: 1.193e-03, eta: 2:20:44, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 3.2561, loss: 3.2561 |
| 2025-05-16 05:51:36,528 - pyskl - INFO - Saving checkpoint at 129 epochs |
| 2025-05-16 05:52:14,160 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:52:14,231 - pyskl - INFO - |
| top1_acc 0.7240 |
| top5_acc 0.9207 |
| 2025-05-16 05:52:14,231 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:52:14,239 - pyskl - INFO - |
| mean_acc 0.7255 |
| 2025-05-16 05:52:14,301 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_127.pth was removed |
| 2025-05-16 05:52:15,896 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. |
| 2025-05-16 05:52:15,898 - pyskl - INFO - Best top1_acc is 0.7240 at 129 epoch. |
| 2025-05-16 05:52:15,901 - pyskl - INFO - Epoch(val) [129][413] top1_acc: 0.7240, top5_acc: 0.9207, mean_class_accuracy: 0.7255 |
| 2025-05-16 05:53:18,748 - pyskl - INFO - Epoch [130][100/1027] lr: 1.179e-03, eta: 2:19:56, time: 0.628, data_time: 0.254, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 3.3039, loss: 3.3039 |
| 2025-05-16 05:53:56,158 - pyskl - INFO - Epoch [130][200/1027] lr: 1.168e-03, eta: 2:19:17, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 3.2502, loss: 3.2502 |
| 2025-05-16 05:54:33,648 - pyskl - INFO - Epoch [130][300/1027] lr: 1.157e-03, eta: 2:18:38, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.2410, loss: 3.2410 |
| 2025-05-16 05:55:11,490 - pyskl - INFO - Epoch [130][400/1027] lr: 1.147e-03, eta: 2:17:58, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.2401, loss: 3.2401 |
| 2025-05-16 05:55:49,257 - pyskl - INFO - Epoch [130][500/1027] lr: 1.136e-03, eta: 2:17:19, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 3.2803, loss: 3.2803 |
| 2025-05-16 05:56:26,660 - pyskl - INFO - Epoch [130][600/1027] lr: 1.125e-03, eta: 2:16:40, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 3.2408, loss: 3.2408 |
| 2025-05-16 05:57:04,032 - pyskl - INFO - Epoch [130][700/1027] lr: 1.115e-03, eta: 2:16:00, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.3434, loss: 3.3434 |
| 2025-05-16 05:57:41,768 - pyskl - INFO - Epoch [130][800/1027] lr: 1.104e-03, eta: 2:15:21, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 3.2176, loss: 3.2176 |
| 2025-05-16 05:58:19,178 - pyskl - INFO - Epoch [130][900/1027] lr: 1.094e-03, eta: 2:14:41, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 3.2684, loss: 3.2684 |
| 2025-05-16 05:58:56,641 - pyskl - INFO - Epoch [130][1000/1027] lr: 1.084e-03, eta: 2:14:02, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 3.2628, loss: 3.2628 |
| 2025-05-16 05:59:07,669 - pyskl - INFO - Saving checkpoint at 130 epochs |
| 2025-05-16 05:59:45,361 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:59:45,431 - pyskl - INFO - |
| top1_acc 0.7213 |
| top5_acc 0.9194 |
| 2025-05-16 05:59:45,431 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:59:45,438 - pyskl - INFO - |
| mean_acc 0.7207 |
| 2025-05-16 05:59:45,440 - pyskl - INFO - Epoch(val) [130][413] top1_acc: 0.7213, top5_acc: 0.9194, mean_class_accuracy: 0.7207 |
| 2025-05-16 06:00:48,835 - pyskl - INFO - Epoch [131][100/1027] lr: 1.070e-03, eta: 2:13:15, time: 0.634, data_time: 0.256, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 3.2864, loss: 3.2864 |
| 2025-05-16 06:01:26,498 - pyskl - INFO - Epoch [131][200/1027] lr: 1.060e-03, eta: 2:12:35, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.2443, loss: 3.2443 |
| 2025-05-16 06:02:03,845 - pyskl - INFO - Epoch [131][300/1027] lr: 1.050e-03, eta: 2:11:56, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 3.1433, loss: 3.1433 |
| 2025-05-16 06:02:41,876 - pyskl - INFO - Epoch [131][400/1027] lr: 1.040e-03, eta: 2:11:17, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.4140, loss: 3.4140 |
| 2025-05-16 06:03:19,712 - pyskl - INFO - Epoch [131][500/1027] lr: 1.030e-03, eta: 2:10:37, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 3.2601, loss: 3.2601 |
| 2025-05-16 06:03:57,291 - pyskl - INFO - Epoch [131][600/1027] lr: 1.019e-03, eta: 2:09:58, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 3.3276, loss: 3.3276 |
| 2025-05-16 06:04:35,327 - pyskl - INFO - Epoch [131][700/1027] lr: 1.009e-03, eta: 2:09:19, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 3.1559, loss: 3.1559 |
| 2025-05-16 06:05:13,052 - pyskl - INFO - Epoch [131][800/1027] lr: 9.994e-04, eta: 2:08:39, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1945, loss: 3.1945 |
| 2025-05-16 06:05:50,407 - pyskl - INFO - Epoch [131][900/1027] lr: 9.894e-04, eta: 2:08:00, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 3.3034, loss: 3.3034 |
| 2025-05-16 06:06:27,798 - pyskl - INFO - Epoch [131][1000/1027] lr: 9.795e-04, eta: 2:07:21, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 3.2681, loss: 3.2681 |
| 2025-05-16 06:06:38,700 - pyskl - INFO - Saving checkpoint at 131 epochs |
| 2025-05-16 06:07:16,378 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:07:16,449 - pyskl - INFO - |
| top1_acc 0.7171 |
| top5_acc 0.9198 |
| 2025-05-16 06:07:16,450 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:07:16,457 - pyskl - INFO - |
| mean_acc 0.7163 |
| 2025-05-16 06:07:16,459 - pyskl - INFO - Epoch(val) [131][413] top1_acc: 0.7171, top5_acc: 0.9198, mean_class_accuracy: 0.7163 |
| 2025-05-16 06:08:19,443 - pyskl - INFO - Epoch [132][100/1027] lr: 9.670e-04, eta: 2:06:33, time: 0.630, data_time: 0.255, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 3.1682, loss: 3.1682 |
| 2025-05-16 06:08:56,798 - pyskl - INFO - Epoch [132][200/1027] lr: 9.571e-04, eta: 2:05:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.2921, loss: 3.2921 |
| 2025-05-16 06:09:34,183 - pyskl - INFO - Epoch [132][300/1027] lr: 9.474e-04, eta: 2:05:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.3501, loss: 3.3501 |
| 2025-05-16 06:10:12,101 - pyskl - INFO - Epoch [132][400/1027] lr: 9.377e-04, eta: 2:04:35, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 3.1679, loss: 3.1679 |
| 2025-05-16 06:10:49,982 - pyskl - INFO - Epoch [132][500/1027] lr: 9.280e-04, eta: 2:03:56, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.2874, loss: 3.2874 |
| 2025-05-16 06:11:27,631 - pyskl - INFO - Epoch [132][600/1027] lr: 9.184e-04, eta: 2:03:16, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 3.0965, loss: 3.0965 |
| 2025-05-16 06:12:05,182 - pyskl - INFO - Epoch [132][700/1027] lr: 9.088e-04, eta: 2:02:37, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 3.2476, loss: 3.2476 |
| 2025-05-16 06:12:42,959 - pyskl - INFO - Epoch [132][800/1027] lr: 8.993e-04, eta: 2:01:58, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 3.1760, loss: 3.1760 |
| 2025-05-16 06:13:20,412 - pyskl - INFO - Epoch [132][900/1027] lr: 8.898e-04, eta: 2:01:18, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 3.2463, loss: 3.2463 |
| 2025-05-16 06:13:57,859 - pyskl - INFO - Epoch [132][1000/1027] lr: 8.804e-04, eta: 2:00:39, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.2096, loss: 3.2096 |
| 2025-05-16 06:14:08,913 - pyskl - INFO - Saving checkpoint at 132 epochs |
| 2025-05-16 06:14:46,325 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:14:46,395 - pyskl - INFO - |
| top1_acc 0.7209 |
| top5_acc 0.9209 |
| 2025-05-16 06:14:46,396 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:14:46,403 - pyskl - INFO - |
| mean_acc 0.7196 |
| 2025-05-16 06:14:46,405 - pyskl - INFO - Epoch(val) [132][413] top1_acc: 0.7209, top5_acc: 0.9209, mean_class_accuracy: 0.7196 |
| 2025-05-16 06:15:49,153 - pyskl - INFO - Epoch [133][100/1027] lr: 8.685e-04, eta: 1:59:51, time: 0.627, data_time: 0.254, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.2297, loss: 3.2297 |
| 2025-05-16 06:16:26,505 - pyskl - INFO - Epoch [133][200/1027] lr: 8.592e-04, eta: 1:59:12, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 3.2722, loss: 3.2722 |
| 2025-05-16 06:17:04,057 - pyskl - INFO - Epoch [133][300/1027] lr: 8.500e-04, eta: 1:58:32, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 3.0072, loss: 3.0072 |
| 2025-05-16 06:17:41,781 - pyskl - INFO - Epoch [133][400/1027] lr: 8.407e-04, eta: 1:57:53, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 3.1241, loss: 3.1241 |
| 2025-05-16 06:18:19,778 - pyskl - INFO - Epoch [133][500/1027] lr: 8.316e-04, eta: 1:57:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 3.1370, loss: 3.1370 |
| 2025-05-16 06:18:57,193 - pyskl - INFO - Epoch [133][600/1027] lr: 8.225e-04, eta: 1:56:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 3.1494, loss: 3.1494 |
| 2025-05-16 06:19:35,028 - pyskl - INFO - Epoch [133][700/1027] lr: 8.134e-04, eta: 1:55:55, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.1392, loss: 3.1392 |
| 2025-05-16 06:20:12,825 - pyskl - INFO - Epoch [133][800/1027] lr: 8.044e-04, eta: 1:55:16, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.2319, loss: 3.2319 |
| 2025-05-16 06:20:50,177 - pyskl - INFO - Epoch [133][900/1027] lr: 7.954e-04, eta: 1:54:37, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 3.2326, loss: 3.2326 |
| 2025-05-16 06:21:27,513 - pyskl - INFO - Epoch [133][1000/1027] lr: 7.865e-04, eta: 1:53:57, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1934, loss: 3.1934 |
| 2025-05-16 06:21:38,364 - pyskl - INFO - Saving checkpoint at 133 epochs |
| 2025-05-16 06:22:16,114 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:22:16,186 - pyskl - INFO - |
| top1_acc 0.7244 |
| top5_acc 0.9197 |
| 2025-05-16 06:22:16,187 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:22:16,194 - pyskl - INFO - |
| mean_acc 0.7235 |
| 2025-05-16 06:22:16,252 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_129.pth was removed |
| 2025-05-16 06:22:17,807 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. |
| 2025-05-16 06:22:17,808 - pyskl - INFO - Best top1_acc is 0.7244 at 133 epoch. |
| 2025-05-16 06:22:17,811 - pyskl - INFO - Epoch(val) [133][413] top1_acc: 0.7244, top5_acc: 0.9197, mean_class_accuracy: 0.7235 |
| 2025-05-16 06:23:20,320 - pyskl - INFO - Epoch [134][100/1027] lr: 7.752e-04, eta: 1:53:09, time: 0.625, data_time: 0.256, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.2122, loss: 3.2122 |
| 2025-05-16 06:23:57,192 - pyskl - INFO - Epoch [134][200/1027] lr: 7.664e-04, eta: 1:52:30, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.1605, loss: 3.1605 |
| 2025-05-16 06:24:34,045 - pyskl - INFO - Epoch [134][300/1027] lr: 7.576e-04, eta: 1:51:51, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1592, loss: 3.1592 |
| 2025-05-16 06:25:11,807 - pyskl - INFO - Epoch [134][400/1027] lr: 7.489e-04, eta: 1:51:11, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.1657, loss: 3.1657 |
| 2025-05-16 06:25:49,682 - pyskl - INFO - Epoch [134][500/1027] lr: 7.402e-04, eta: 1:50:32, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1673, loss: 3.1673 |
| 2025-05-16 06:26:27,463 - pyskl - INFO - Epoch [134][600/1027] lr: 7.316e-04, eta: 1:49:53, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.2660, loss: 3.2660 |
| 2025-05-16 06:27:05,478 - pyskl - INFO - Epoch [134][700/1027] lr: 7.231e-04, eta: 1:49:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 3.1061, loss: 3.1061 |
| 2025-05-16 06:27:43,371 - pyskl - INFO - Epoch [134][800/1027] lr: 7.145e-04, eta: 1:48:34, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 3.2437, loss: 3.2437 |
| 2025-05-16 06:28:20,801 - pyskl - INFO - Epoch [134][900/1027] lr: 7.061e-04, eta: 1:47:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1103, loss: 3.1103 |
| 2025-05-16 06:28:58,374 - pyskl - INFO - Epoch [134][1000/1027] lr: 6.976e-04, eta: 1:47:16, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 3.2852, loss: 3.2852 |
| 2025-05-16 06:29:09,233 - pyskl - INFO - Saving checkpoint at 134 epochs |
| 2025-05-16 06:29:46,705 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:29:46,776 - pyskl - INFO - |
| top1_acc 0.7263 |
| top5_acc 0.9233 |
| 2025-05-16 06:29:46,776 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:29:46,784 - pyskl - INFO - |
| mean_acc 0.7252 |
| 2025-05-16 06:29:46,842 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_133.pth was removed |
| 2025-05-16 06:29:48,328 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. |
| 2025-05-16 06:29:48,330 - pyskl - INFO - Best top1_acc is 0.7263 at 134 epoch. |
| 2025-05-16 06:29:48,333 - pyskl - INFO - Epoch(val) [134][413] top1_acc: 0.7263, top5_acc: 0.9233, mean_class_accuracy: 0.7252 |
| 2025-05-16 06:30:51,456 - pyskl - INFO - Epoch [135][100/1027] lr: 6.870e-04, eta: 1:46:28, time: 0.631, data_time: 0.255, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0786, loss: 3.0786 |
| 2025-05-16 06:31:28,913 - pyskl - INFO - Epoch [135][200/1027] lr: 6.787e-04, eta: 1:45:48, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1434, loss: 3.1434 |
| 2025-05-16 06:32:06,273 - pyskl - INFO - Epoch [135][300/1027] lr: 6.704e-04, eta: 1:45:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.1328, loss: 3.1328 |
| 2025-05-16 06:32:43,967 - pyskl - INFO - Epoch [135][400/1027] lr: 6.622e-04, eta: 1:44:30, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1051, loss: 3.1051 |
| 2025-05-16 06:33:21,447 - pyskl - INFO - Epoch [135][500/1027] lr: 6.541e-04, eta: 1:43:50, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.1590, loss: 3.1590 |
| 2025-05-16 06:33:58,952 - pyskl - INFO - Epoch [135][600/1027] lr: 6.460e-04, eta: 1:43:11, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 3.1583, loss: 3.1583 |
| 2025-05-16 06:34:36,927 - pyskl - INFO - Epoch [135][700/1027] lr: 6.379e-04, eta: 1:42:32, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 3.1637, loss: 3.1637 |
| 2025-05-16 06:35:14,649 - pyskl - INFO - Epoch [135][800/1027] lr: 6.299e-04, eta: 1:41:53, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.1098, loss: 3.1098 |
| 2025-05-16 06:35:51,885 - pyskl - INFO - Epoch [135][900/1027] lr: 6.219e-04, eta: 1:41:13, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 3.1447, loss: 3.1447 |
| 2025-05-16 06:36:29,331 - pyskl - INFO - Epoch [135][1000/1027] lr: 6.140e-04, eta: 1:40:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0073, loss: 3.0073 |
| 2025-05-16 06:36:40,391 - pyskl - INFO - Saving checkpoint at 135 epochs |
| 2025-05-16 06:37:17,902 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:37:17,974 - pyskl - INFO - |
| top1_acc 0.7257 |
| top5_acc 0.9229 |
| 2025-05-16 06:37:17,974 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:37:17,982 - pyskl - INFO - |
| mean_acc 0.7253 |
| 2025-05-16 06:37:17,984 - pyskl - INFO - Epoch(val) [135][413] top1_acc: 0.7257, top5_acc: 0.9229, mean_class_accuracy: 0.7253 |
| 2025-05-16 06:38:21,240 - pyskl - INFO - Epoch [136][100/1027] lr: 6.040e-04, eta: 1:39:46, time: 0.633, data_time: 0.259, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1414, loss: 3.1414 |
| 2025-05-16 06:38:58,591 - pyskl - INFO - Epoch [136][200/1027] lr: 5.962e-04, eta: 1:39:06, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 3.0362, loss: 3.0362 |
| 2025-05-16 06:39:36,214 - pyskl - INFO - Epoch [136][300/1027] lr: 5.885e-04, eta: 1:38:27, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0879, loss: 3.0879 |
| 2025-05-16 06:40:13,858 - pyskl - INFO - Epoch [136][400/1027] lr: 5.808e-04, eta: 1:37:48, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0568, loss: 3.0568 |
| 2025-05-16 06:40:51,619 - pyskl - INFO - Epoch [136][500/1027] lr: 5.731e-04, eta: 1:37:09, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0855, loss: 3.0855 |
| 2025-05-16 06:41:29,329 - pyskl - INFO - Epoch [136][600/1027] lr: 5.655e-04, eta: 1:36:29, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1305, loss: 3.1305 |
| 2025-05-16 06:42:07,437 - pyskl - INFO - Epoch [136][700/1027] lr: 5.579e-04, eta: 1:35:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1734, loss: 3.1734 |
| 2025-05-16 06:42:45,122 - pyskl - INFO - Epoch [136][800/1027] lr: 5.504e-04, eta: 1:35:11, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.0725, loss: 3.0725 |
| 2025-05-16 06:43:22,497 - pyskl - INFO - Epoch [136][900/1027] lr: 5.430e-04, eta: 1:34:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.0927, loss: 3.0927 |
| 2025-05-16 06:43:59,943 - pyskl - INFO - Epoch [136][1000/1027] lr: 5.356e-04, eta: 1:33:52, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1371, loss: 3.1371 |
| 2025-05-16 06:44:10,817 - pyskl - INFO - Saving checkpoint at 136 epochs |
| 2025-05-16 06:44:48,194 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:44:48,264 - pyskl - INFO - |
| top1_acc 0.7253 |
| top5_acc 0.9248 |
| 2025-05-16 06:44:48,264 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:44:48,272 - pyskl - INFO - |
| mean_acc 0.7238 |
| 2025-05-16 06:44:48,273 - pyskl - INFO - Epoch(val) [136][413] top1_acc: 0.7253, top5_acc: 0.9248, mean_class_accuracy: 0.7238 |
| 2025-05-16 06:45:51,265 - pyskl - INFO - Epoch [137][100/1027] lr: 5.262e-04, eta: 1:33:04, time: 0.630, data_time: 0.256, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0657, loss: 3.0657 |
| 2025-05-16 06:46:28,728 - pyskl - INFO - Epoch [137][200/1027] lr: 5.189e-04, eta: 1:32:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1043, loss: 3.1043 |
| 2025-05-16 06:47:06,176 - pyskl - INFO - Epoch [137][300/1027] lr: 5.117e-04, eta: 1:31:46, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1387, loss: 3.1387 |
| 2025-05-16 06:47:43,964 - pyskl - INFO - Epoch [137][400/1027] lr: 5.045e-04, eta: 1:31:06, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0797, loss: 3.0797 |
| 2025-05-16 06:48:21,936 - pyskl - INFO - Epoch [137][500/1027] lr: 4.974e-04, eta: 1:30:27, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1270, loss: 3.1270 |
| 2025-05-16 06:48:59,682 - pyskl - INFO - Epoch [137][600/1027] lr: 4.903e-04, eta: 1:29:48, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0571, loss: 3.0571 |
| 2025-05-16 06:49:37,553 - pyskl - INFO - Epoch [137][700/1027] lr: 4.832e-04, eta: 1:29:09, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 3.1211, loss: 3.1211 |
| 2025-05-16 06:50:15,278 - pyskl - INFO - Epoch [137][800/1027] lr: 4.762e-04, eta: 1:28:29, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.0931, loss: 3.0931 |
| 2025-05-16 06:50:52,903 - pyskl - INFO - Epoch [137][900/1027] lr: 4.693e-04, eta: 1:27:50, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1685, loss: 3.1685 |
| 2025-05-16 06:51:30,507 - pyskl - INFO - Epoch [137][1000/1027] lr: 4.624e-04, eta: 1:27:11, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1000, loss: 3.1000 |
| 2025-05-16 06:51:41,542 - pyskl - INFO - Saving checkpoint at 137 epochs |
| 2025-05-16 06:52:19,193 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:52:19,265 - pyskl - INFO - |
| top1_acc 0.7256 |
| top5_acc 0.9230 |
| 2025-05-16 06:52:19,265 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:52:19,273 - pyskl - INFO - |
| mean_acc 0.7244 |
| 2025-05-16 06:52:19,275 - pyskl - INFO - Epoch(val) [137][413] top1_acc: 0.7256, top5_acc: 0.9230, mean_class_accuracy: 0.7244 |
| 2025-05-16 06:53:22,534 - pyskl - INFO - Epoch [138][100/1027] lr: 4.537e-04, eta: 1:26:22, time: 0.633, data_time: 0.257, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1416, loss: 3.1416 |
| 2025-05-16 06:54:00,128 - pyskl - INFO - Epoch [138][200/1027] lr: 4.469e-04, eta: 1:25:43, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0376, loss: 3.0376 |
| 2025-05-16 06:54:37,678 - pyskl - INFO - Epoch [138][300/1027] lr: 4.402e-04, eta: 1:25:04, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0869, loss: 3.0869 |
| 2025-05-16 06:55:15,423 - pyskl - INFO - Epoch [138][400/1027] lr: 4.335e-04, eta: 1:24:25, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0582, loss: 3.0582 |
| 2025-05-16 06:55:53,358 - pyskl - INFO - Epoch [138][500/1027] lr: 4.269e-04, eta: 1:23:45, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9923, loss: 2.9923 |
| 2025-05-16 06:56:31,074 - pyskl - INFO - Epoch [138][600/1027] lr: 4.203e-04, eta: 1:23:06, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.0779, loss: 3.0779 |
| 2025-05-16 06:57:08,808 - pyskl - INFO - Epoch [138][700/1027] lr: 4.138e-04, eta: 1:22:27, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9907, loss: 2.9907 |
| 2025-05-16 06:57:46,431 - pyskl - INFO - Epoch [138][800/1027] lr: 4.073e-04, eta: 1:21:48, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.1605, loss: 3.1605 |
| 2025-05-16 06:58:23,825 - pyskl - INFO - Epoch [138][900/1027] lr: 4.009e-04, eta: 1:21:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0800, loss: 3.0800 |
| 2025-05-16 06:59:01,388 - pyskl - INFO - Epoch [138][1000/1027] lr: 3.945e-04, eta: 1:20:29, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1037, loss: 3.1037 |
| 2025-05-16 06:59:12,278 - pyskl - INFO - Saving checkpoint at 138 epochs |
| 2025-05-16 06:59:49,505 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:59:49,577 - pyskl - INFO - |
| top1_acc 0.7219 |
| top5_acc 0.9226 |
| 2025-05-16 06:59:49,577 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:59:49,586 - pyskl - INFO - |
| mean_acc 0.7208 |
| 2025-05-16 06:59:49,588 - pyskl - INFO - Epoch(val) [138][413] top1_acc: 0.7219, top5_acc: 0.9226, mean_class_accuracy: 0.7208 |
| 2025-05-16 07:00:52,152 - pyskl - INFO - Epoch [139][100/1027] lr: 3.865e-04, eta: 1:19:41, time: 0.626, data_time: 0.252, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0203, loss: 3.0203 |
| 2025-05-16 07:01:29,410 - pyskl - INFO - Epoch [139][200/1027] lr: 3.802e-04, eta: 1:19:01, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0245, loss: 3.0245 |
| 2025-05-16 07:02:06,676 - pyskl - INFO - Epoch [139][300/1027] lr: 3.740e-04, eta: 1:18:22, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0747, loss: 3.0747 |
| 2025-05-16 07:02:44,584 - pyskl - INFO - Epoch [139][400/1027] lr: 3.678e-04, eta: 1:17:43, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0708, loss: 3.0708 |
| 2025-05-16 07:03:22,418 - pyskl - INFO - Epoch [139][500/1027] lr: 3.617e-04, eta: 1:17:04, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0554, loss: 3.0554 |
| 2025-05-16 07:04:00,238 - pyskl - INFO - Epoch [139][600/1027] lr: 3.556e-04, eta: 1:16:25, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0153, loss: 3.0153 |
| 2025-05-16 07:04:38,092 - pyskl - INFO - Epoch [139][700/1027] lr: 3.496e-04, eta: 1:15:45, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 3.1642, loss: 3.1642 |
| 2025-05-16 07:05:15,732 - pyskl - INFO - Epoch [139][800/1027] lr: 3.437e-04, eta: 1:15:06, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 3.1621, loss: 3.1621 |
| 2025-05-16 07:05:53,134 - pyskl - INFO - Epoch [139][900/1027] lr: 3.378e-04, eta: 1:14:27, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 3.0345, loss: 3.0345 |
| 2025-05-16 07:06:30,761 - pyskl - INFO - Epoch [139][1000/1027] lr: 3.319e-04, eta: 1:13:48, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0449, loss: 3.0449 |
| 2025-05-16 07:06:41,878 - pyskl - INFO - Saving checkpoint at 139 epochs |
| 2025-05-16 07:07:19,465 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:07:19,536 - pyskl - INFO - |
| top1_acc 0.7303 |
| top5_acc 0.9262 |
| 2025-05-16 07:07:19,536 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:07:19,544 - pyskl - INFO - |
| mean_acc 0.7304 |
| 2025-05-16 07:07:19,601 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_1/best_top1_acc_epoch_134.pth was removed |
| 2025-05-16 07:07:21,102 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. |
| 2025-05-16 07:07:21,104 - pyskl - INFO - Best top1_acc is 0.7303 at 139 epoch. |
| 2025-05-16 07:07:21,107 - pyskl - INFO - Epoch(val) [139][413] top1_acc: 0.7303, top5_acc: 0.9262, mean_class_accuracy: 0.7304 |
| 2025-05-16 07:08:23,941 - pyskl - INFO - Epoch [140][100/1027] lr: 3.245e-04, eta: 1:12:59, time: 0.628, data_time: 0.255, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.0271, loss: 3.0271 |
| 2025-05-16 07:09:01,257 - pyskl - INFO - Epoch [140][200/1027] lr: 3.188e-04, eta: 1:12:20, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.2030, loss: 3.2030 |
| 2025-05-16 07:09:38,656 - pyskl - INFO - Epoch [140][300/1027] lr: 3.131e-04, eta: 1:11:41, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0222, loss: 3.0222 |
| 2025-05-16 07:10:16,466 - pyskl - INFO - Epoch [140][400/1027] lr: 3.074e-04, eta: 1:11:01, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 3.0943, loss: 3.0943 |
| 2025-05-16 07:10:54,101 - pyskl - INFO - Epoch [140][500/1027] lr: 3.018e-04, eta: 1:10:22, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1406, loss: 3.1406 |
| 2025-05-16 07:11:31,858 - pyskl - INFO - Epoch [140][600/1027] lr: 2.963e-04, eta: 1:09:43, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9685, loss: 2.9685 |
| 2025-05-16 07:12:09,462 - pyskl - INFO - Epoch [140][700/1027] lr: 2.908e-04, eta: 1:09:04, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0432, loss: 3.0432 |
| 2025-05-16 07:12:47,147 - pyskl - INFO - Epoch [140][800/1027] lr: 2.854e-04, eta: 1:08:24, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1471, loss: 3.1471 |
| 2025-05-16 07:13:24,715 - pyskl - INFO - Epoch [140][900/1027] lr: 2.800e-04, eta: 1:07:45, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9489, loss: 2.9489 |
| 2025-05-16 07:14:02,101 - pyskl - INFO - Epoch [140][1000/1027] lr: 2.746e-04, eta: 1:07:06, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0623, loss: 3.0623 |
| 2025-05-16 07:14:12,986 - pyskl - INFO - Saving checkpoint at 140 epochs |
| 2025-05-16 07:14:50,503 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:14:50,574 - pyskl - INFO - |
| top1_acc 0.7228 |
| top5_acc 0.9245 |
| 2025-05-16 07:14:50,574 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:14:50,582 - pyskl - INFO - |
| mean_acc 0.7218 |
| 2025-05-16 07:14:50,584 - pyskl - INFO - Epoch(val) [140][413] top1_acc: 0.7228, top5_acc: 0.9245, mean_class_accuracy: 0.7218 |
| 2025-05-16 07:15:53,503 - pyskl - INFO - Epoch [141][100/1027] lr: 2.679e-04, eta: 1:06:17, time: 0.629, data_time: 0.256, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 3.1446, loss: 3.1446 |
| 2025-05-16 07:16:30,825 - pyskl - INFO - Epoch [141][200/1027] lr: 2.627e-04, eta: 1:05:38, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0393, loss: 3.0393 |
| 2025-05-16 07:17:08,288 - pyskl - INFO - Epoch [141][300/1027] lr: 2.575e-04, eta: 1:04:59, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1001, loss: 3.1001 |
| 2025-05-16 07:17:45,917 - pyskl - INFO - Epoch [141][400/1027] lr: 2.524e-04, eta: 1:04:20, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0540, loss: 3.0540 |
| 2025-05-16 07:18:23,874 - pyskl - INFO - Epoch [141][500/1027] lr: 2.473e-04, eta: 1:03:40, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1442, loss: 3.1442 |
| 2025-05-16 07:19:01,735 - pyskl - INFO - Epoch [141][600/1027] lr: 2.423e-04, eta: 1:03:01, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1195, loss: 3.1195 |
| 2025-05-16 07:19:39,327 - pyskl - INFO - Epoch [141][700/1027] lr: 2.374e-04, eta: 1:02:22, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9866, loss: 2.9866 |
| 2025-05-16 07:20:16,847 - pyskl - INFO - Epoch [141][800/1027] lr: 2.324e-04, eta: 1:01:43, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0460, loss: 3.0460 |
| 2025-05-16 07:20:54,184 - pyskl - INFO - Epoch [141][900/1027] lr: 2.276e-04, eta: 1:01:04, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 3.0675, loss: 3.0675 |
| 2025-05-16 07:21:31,499 - pyskl - INFO - Epoch [141][1000/1027] lr: 2.227e-04, eta: 1:00:24, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1109, loss: 3.1109 |
| 2025-05-16 07:21:42,541 - pyskl - INFO - Saving checkpoint at 141 epochs |
| 2025-05-16 07:22:19,796 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:22:19,871 - pyskl - INFO - |
| top1_acc 0.7274 |
| top5_acc 0.9259 |
| 2025-05-16 07:22:19,872 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:22:19,880 - pyskl - INFO - |
| mean_acc 0.7257 |
| 2025-05-16 07:22:19,882 - pyskl - INFO - Epoch(val) [141][413] top1_acc: 0.7274, top5_acc: 0.9259, mean_class_accuracy: 0.7257 |
| 2025-05-16 07:23:23,216 - pyskl - INFO - Epoch [142][100/1027] lr: 2.167e-04, eta: 0:59:36, time: 0.633, data_time: 0.258, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0530, loss: 3.0530 |
| 2025-05-16 07:24:00,573 - pyskl - INFO - Epoch [142][200/1027] lr: 2.120e-04, eta: 0:58:56, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 3.1222, loss: 3.1222 |
| 2025-05-16 07:24:37,957 - pyskl - INFO - Epoch [142][300/1027] lr: 2.074e-04, eta: 0:58:17, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0372, loss: 3.0372 |
| 2025-05-16 07:25:15,613 - pyskl - INFO - Epoch [142][400/1027] lr: 2.028e-04, eta: 0:57:38, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9794, loss: 2.9794 |
| 2025-05-16 07:25:53,224 - pyskl - INFO - Epoch [142][500/1027] lr: 1.982e-04, eta: 0:56:59, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9911, loss: 2.9911 |
| 2025-05-16 07:26:31,015 - pyskl - INFO - Epoch [142][600/1027] lr: 1.937e-04, eta: 0:56:20, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 3.0764, loss: 3.0764 |
| 2025-05-16 07:27:08,888 - pyskl - INFO - Epoch [142][700/1027] lr: 1.893e-04, eta: 0:55:40, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9924, loss: 2.9924 |
| 2025-05-16 07:27:46,411 - pyskl - INFO - Epoch [142][800/1027] lr: 1.849e-04, eta: 0:55:01, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 3.0852, loss: 3.0852 |
| 2025-05-16 07:28:23,911 - pyskl - INFO - Epoch [142][900/1027] lr: 1.805e-04, eta: 0:54:22, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 3.0239, loss: 3.0239 |
| 2025-05-16 07:29:01,429 - pyskl - INFO - Epoch [142][1000/1027] lr: 1.762e-04, eta: 0:53:43, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 3.0662, loss: 3.0662 |
| 2025-05-16 07:29:12,619 - pyskl - INFO - Saving checkpoint at 142 epochs |
| 2025-05-16 07:29:49,885 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:29:49,957 - pyskl - INFO - |
| top1_acc 0.7260 |
| top5_acc 0.9241 |
| 2025-05-16 07:29:49,957 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:29:49,965 - pyskl - INFO - |
| mean_acc 0.7249 |
| 2025-05-16 07:29:49,967 - pyskl - INFO - Epoch(val) [142][413] top1_acc: 0.7260, top5_acc: 0.9241, mean_class_accuracy: 0.7249 |
| 2025-05-16 07:30:52,827 - pyskl - INFO - Epoch [143][100/1027] lr: 1.709e-04, eta: 0:52:54, time: 0.629, data_time: 0.255, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0385, loss: 3.0385 |
| 2025-05-16 07:31:30,093 - pyskl - INFO - Epoch [143][200/1027] lr: 1.667e-04, eta: 0:52:15, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 |
| 2025-05-16 07:32:07,484 - pyskl - INFO - Epoch [143][300/1027] lr: 1.626e-04, eta: 0:51:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 3.0270, loss: 3.0270 |
| 2025-05-16 07:32:45,279 - pyskl - INFO - Epoch [143][400/1027] lr: 1.585e-04, eta: 0:50:56, time: 0.378, data_time: 0.001, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0771, loss: 3.0771 |
| 2025-05-16 07:33:22,945 - pyskl - INFO - Epoch [143][500/1027] lr: 1.545e-04, eta: 0:50:17, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 2.9862, loss: 2.9862 |
| 2025-05-16 07:34:00,754 - pyskl - INFO - Epoch [143][600/1027] lr: 1.505e-04, eta: 0:49:38, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0888, loss: 3.0888 |
| 2025-05-16 07:34:38,750 - pyskl - INFO - Epoch [143][700/1027] lr: 1.466e-04, eta: 0:48:59, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0248, loss: 3.0248 |
| 2025-05-16 07:35:16,381 - pyskl - INFO - Epoch [143][800/1027] lr: 1.427e-04, eta: 0:48:20, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1073, loss: 3.1073 |
| 2025-05-16 07:35:53,904 - pyskl - INFO - Epoch [143][900/1027] lr: 1.389e-04, eta: 0:47:40, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0810, loss: 3.0810 |
| 2025-05-16 07:36:31,503 - pyskl - INFO - Epoch [143][1000/1027] lr: 1.351e-04, eta: 0:47:01, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0619, loss: 3.0619 |
| 2025-05-16 07:36:42,592 - pyskl - INFO - Saving checkpoint at 143 epochs |
| 2025-05-16 07:37:19,940 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:37:20,009 - pyskl - INFO - |
| top1_acc 0.7215 |
| top5_acc 0.9224 |
| 2025-05-16 07:37:20,010 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:37:20,017 - pyskl - INFO - |
| mean_acc 0.7201 |
| 2025-05-16 07:37:20,018 - pyskl - INFO - Epoch(val) [143][413] top1_acc: 0.7215, top5_acc: 0.9224, mean_class_accuracy: 0.7201 |
| 2025-05-16 07:38:23,076 - pyskl - INFO - Epoch [144][100/1027] lr: 1.304e-04, eta: 0:46:12, time: 0.631, data_time: 0.255, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0412, loss: 3.0412 |
| 2025-05-16 07:39:00,536 - pyskl - INFO - Epoch [144][200/1027] lr: 1.268e-04, eta: 0:45:33, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.1545, loss: 3.1545 |
| 2025-05-16 07:39:38,039 - pyskl - INFO - Epoch [144][300/1027] lr: 1.232e-04, eta: 0:44:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 3.0534, loss: 3.0534 |
| 2025-05-16 07:40:15,807 - pyskl - INFO - Epoch [144][400/1027] lr: 1.196e-04, eta: 0:44:15, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0831, loss: 3.0831 |
| 2025-05-16 07:40:53,652 - pyskl - INFO - Epoch [144][500/1027] lr: 1.162e-04, eta: 0:43:35, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 3.0628, loss: 3.0628 |
| 2025-05-16 07:41:31,650 - pyskl - INFO - Epoch [144][600/1027] lr: 1.127e-04, eta: 0:42:56, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1183, loss: 3.1183 |
| 2025-05-16 07:42:09,808 - pyskl - INFO - Epoch [144][700/1027] lr: 1.093e-04, eta: 0:42:17, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0344, loss: 3.0344 |
| 2025-05-16 07:42:46,841 - pyskl - INFO - Epoch [144][800/1027] lr: 1.060e-04, eta: 0:41:38, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9819, loss: 2.9819 |
| 2025-05-16 07:43:23,669 - pyskl - INFO - Epoch [144][900/1027] lr: 1.027e-04, eta: 0:40:59, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0272, loss: 3.0272 |
| 2025-05-16 07:44:00,518 - pyskl - INFO - Epoch [144][1000/1027] lr: 9.946e-05, eta: 0:40:20, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0539, loss: 3.0539 |
| 2025-05-16 07:44:11,424 - pyskl - INFO - Saving checkpoint at 144 epochs |
| 2025-05-16 07:44:48,703 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:44:48,774 - pyskl - INFO - |
| top1_acc 0.7225 |
| top5_acc 0.9218 |
| 2025-05-16 07:44:48,774 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:44:48,782 - pyskl - INFO - |
| mean_acc 0.7213 |
| 2025-05-16 07:44:48,783 - pyskl - INFO - Epoch(val) [144][413] top1_acc: 0.7225, top5_acc: 0.9218, mean_class_accuracy: 0.7213 |
| 2025-05-16 07:45:51,518 - pyskl - INFO - Epoch [145][100/1027] lr: 9.543e-05, eta: 0:39:30, time: 0.627, data_time: 0.254, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 2.9956, loss: 2.9956 |
| 2025-05-16 07:46:28,761 - pyskl - INFO - Epoch [145][200/1027] lr: 9.231e-05, eta: 0:38:51, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9746, loss: 2.9746 |
| 2025-05-16 07:47:06,181 - pyskl - INFO - Epoch [145][300/1027] lr: 8.924e-05, eta: 0:38:12, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 3.1023, loss: 3.1023 |
| 2025-05-16 07:47:44,055 - pyskl - INFO - Epoch [145][400/1027] lr: 8.623e-05, eta: 0:37:33, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9437, loss: 2.9437 |
| 2025-05-16 07:48:21,924 - pyskl - INFO - Epoch [145][500/1027] lr: 8.327e-05, eta: 0:36:54, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0423, loss: 3.0423 |
| 2025-05-16 07:48:59,932 - pyskl - INFO - Epoch [145][600/1027] lr: 8.035e-05, eta: 0:36:15, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0725, loss: 3.0725 |
| 2025-05-16 07:49:37,673 - pyskl - INFO - Epoch [145][700/1027] lr: 7.749e-05, eta: 0:35:35, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 3.0809, loss: 3.0809 |
| 2025-05-16 07:50:15,114 - pyskl - INFO - Epoch [145][800/1027] lr: 7.469e-05, eta: 0:34:56, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0535, loss: 3.0535 |
| 2025-05-16 07:50:52,521 - pyskl - INFO - Epoch [145][900/1027] lr: 7.193e-05, eta: 0:34:17, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0663, loss: 3.0663 |
| 2025-05-16 07:51:29,972 - pyskl - INFO - Epoch [145][1000/1027] lr: 6.922e-05, eta: 0:33:38, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8798, loss: 2.8798 |
| 2025-05-16 07:51:40,885 - pyskl - INFO - Saving checkpoint at 145 epochs |
| 2025-05-16 07:52:18,264 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:52:18,340 - pyskl - INFO - |
| top1_acc 0.7256 |
| top5_acc 0.9229 |
| 2025-05-16 07:52:18,340 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:52:18,349 - pyskl - INFO - |
| mean_acc 0.7243 |
| 2025-05-16 07:52:18,351 - pyskl - INFO - Epoch(val) [145][413] top1_acc: 0.7256, top5_acc: 0.9229, mean_class_accuracy: 0.7243 |
| 2025-05-16 07:53:21,208 - pyskl - INFO - Epoch [146][100/1027] lr: 6.586e-05, eta: 0:32:49, time: 0.629, data_time: 0.259, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1337, loss: 3.1337 |
| 2025-05-16 07:53:58,117 - pyskl - INFO - Epoch [146][200/1027] lr: 6.328e-05, eta: 0:32:10, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9656, loss: 2.9656 |
| 2025-05-16 07:54:35,524 - pyskl - INFO - Epoch [146][300/1027] lr: 6.074e-05, eta: 0:31:30, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1162, loss: 3.1162 |
| 2025-05-16 07:55:13,318 - pyskl - INFO - Epoch [146][400/1027] lr: 5.826e-05, eta: 0:30:51, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0203, loss: 3.0203 |
| 2025-05-16 07:55:50,954 - pyskl - INFO - Epoch [146][500/1027] lr: 5.582e-05, eta: 0:30:12, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0660, loss: 3.0660 |
| 2025-05-16 07:56:28,682 - pyskl - INFO - Epoch [146][600/1027] lr: 5.344e-05, eta: 0:29:33, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0080, loss: 3.0080 |
| 2025-05-16 07:57:06,633 - pyskl - INFO - Epoch [146][700/1027] lr: 5.111e-05, eta: 0:28:54, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0903, loss: 3.0903 |
| 2025-05-16 07:57:44,120 - pyskl - INFO - Epoch [146][800/1027] lr: 4.884e-05, eta: 0:28:15, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0785, loss: 3.0785 |
| 2025-05-16 07:58:21,377 - pyskl - INFO - Epoch [146][900/1027] lr: 4.661e-05, eta: 0:27:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0458, loss: 3.0458 |
| 2025-05-16 07:58:58,691 - pyskl - INFO - Epoch [146][1000/1027] lr: 4.444e-05, eta: 0:26:56, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9835, loss: 2.9835 |
| 2025-05-16 07:59:09,557 - pyskl - INFO - Saving checkpoint at 146 epochs |
| 2025-05-16 07:59:47,072 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:59:47,143 - pyskl - INFO - |
| top1_acc 0.7278 |
| top5_acc 0.9242 |
| 2025-05-16 07:59:47,143 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:59:47,151 - pyskl - INFO - |
| mean_acc 0.7261 |
| 2025-05-16 07:59:47,152 - pyskl - INFO - Epoch(val) [146][413] top1_acc: 0.7278, top5_acc: 0.9242, mean_class_accuracy: 0.7261 |
| 2025-05-16 08:00:50,740 - pyskl - INFO - Epoch [147][100/1027] lr: 4.175e-05, eta: 0:26:07, time: 0.636, data_time: 0.260, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0722, loss: 3.0722 |
| 2025-05-16 08:01:28,096 - pyskl - INFO - Epoch [147][200/1027] lr: 3.970e-05, eta: 0:25:28, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0835, loss: 3.0835 |
| 2025-05-16 08:02:05,687 - pyskl - INFO - Epoch [147][300/1027] lr: 3.769e-05, eta: 0:24:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9703, loss: 2.9703 |
| 2025-05-16 08:02:43,333 - pyskl - INFO - Epoch [147][400/1027] lr: 3.574e-05, eta: 0:24:10, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0254, loss: 3.0254 |
| 2025-05-16 08:03:20,965 - pyskl - INFO - Epoch [147][500/1027] lr: 3.384e-05, eta: 0:23:30, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0636, loss: 3.0636 |
| 2025-05-16 08:03:59,009 - pyskl - INFO - Epoch [147][600/1027] lr: 3.199e-05, eta: 0:22:51, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9915, loss: 2.9915 |
| 2025-05-16 08:04:36,742 - pyskl - INFO - Epoch [147][700/1027] lr: 3.020e-05, eta: 0:22:12, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0277, loss: 3.0277 |
| 2025-05-16 08:05:14,161 - pyskl - INFO - Epoch [147][800/1027] lr: 2.845e-05, eta: 0:21:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 3.0173, loss: 3.0173 |
| 2025-05-16 08:05:51,471 - pyskl - INFO - Epoch [147][900/1027] lr: 2.676e-05, eta: 0:20:54, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0996, loss: 3.0996 |
| 2025-05-16 08:06:28,835 - pyskl - INFO - Epoch [147][1000/1027] lr: 2.512e-05, eta: 0:20:15, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 2.9856, loss: 2.9856 |
| 2025-05-16 08:06:39,720 - pyskl - INFO - Saving checkpoint at 147 epochs |
| 2025-05-16 08:07:17,646 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 08:07:17,717 - pyskl - INFO - |
| top1_acc 0.7266 |
| top5_acc 0.9248 |
| 2025-05-16 08:07:17,718 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 08:07:17,726 - pyskl - INFO - |
| mean_acc 0.7251 |
| 2025-05-16 08:07:17,728 - pyskl - INFO - Epoch(val) [147][413] top1_acc: 0.7266, top5_acc: 0.9248, mean_class_accuracy: 0.7251 |
| 2025-05-16 08:08:21,162 - pyskl - INFO - Epoch [148][100/1027] lr: 2.311e-05, eta: 0:19:25, time: 0.634, data_time: 0.259, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1086, loss: 3.1086 |
| 2025-05-16 08:08:58,674 - pyskl - INFO - Epoch [148][200/1027] lr: 2.158e-05, eta: 0:18:46, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1583, loss: 3.1583 |
| 2025-05-16 08:09:36,217 - pyskl - INFO - Epoch [148][300/1027] lr: 2.011e-05, eta: 0:18:07, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0012, loss: 3.0012 |
| 2025-05-16 08:10:13,945 - pyskl - INFO - Epoch [148][400/1027] lr: 1.869e-05, eta: 0:17:28, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0102, loss: 3.0102 |
| 2025-05-16 08:10:51,531 - pyskl - INFO - Epoch [148][500/1027] lr: 1.732e-05, eta: 0:16:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9852, loss: 2.9852 |
| 2025-05-16 08:11:29,286 - pyskl - INFO - Epoch [148][600/1027] lr: 1.601e-05, eta: 0:16:10, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0407, loss: 3.0407 |
| 2025-05-16 08:12:07,392 - pyskl - INFO - Epoch [148][700/1027] lr: 1.475e-05, eta: 0:15:31, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0285, loss: 3.0285 |
| 2025-05-16 08:12:44,811 - pyskl - INFO - Epoch [148][800/1027] lr: 1.353e-05, eta: 0:14:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9967, loss: 2.9967 |
| 2025-05-16 08:13:22,140 - pyskl - INFO - Epoch [148][900/1027] lr: 1.237e-05, eta: 0:14:12, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0187, loss: 3.0187 |
| 2025-05-16 08:13:59,523 - pyskl - INFO - Epoch [148][1000/1027] lr: 1.127e-05, eta: 0:13:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0713, loss: 3.0713 |
| 2025-05-16 08:14:10,686 - pyskl - INFO - Saving checkpoint at 148 epochs |
| 2025-05-16 08:14:47,980 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 08:14:48,051 - pyskl - INFO - |
| top1_acc 0.7280 |
| top5_acc 0.9244 |
| 2025-05-16 08:14:48,051 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 08:14:48,060 - pyskl - INFO - |
| mean_acc 0.7263 |
| 2025-05-16 08:14:48,062 - pyskl - INFO - Epoch(val) [148][413] top1_acc: 0.7280, top5_acc: 0.9244, mean_class_accuracy: 0.7263 |
| 2025-05-16 08:15:50,814 - pyskl - INFO - Epoch [149][100/1027] lr: 9.933e-06, eta: 0:12:44, time: 0.627, data_time: 0.253, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9756, loss: 2.9756 |
| 2025-05-16 08:16:28,240 - pyskl - INFO - Epoch [149][200/1027] lr: 8.943e-06, eta: 0:12:05, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9305, loss: 2.9305 |
| 2025-05-16 08:17:05,882 - pyskl - INFO - Epoch [149][300/1027] lr: 8.005e-06, eta: 0:11:25, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9760, loss: 2.9760 |
| 2025-05-16 08:17:43,557 - pyskl - INFO - Epoch [149][400/1027] lr: 7.119e-06, eta: 0:10:46, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9522, loss: 2.9522 |
| 2025-05-16 08:18:21,135 - pyskl - INFO - Epoch [149][500/1027] lr: 6.285e-06, eta: 0:10:07, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9845, loss: 2.9845 |
| 2025-05-16 08:18:58,955 - pyskl - INFO - Epoch [149][600/1027] lr: 5.502e-06, eta: 0:09:28, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0800, loss: 3.0800 |
| 2025-05-16 08:19:36,809 - pyskl - INFO - Epoch [149][700/1027] lr: 4.772e-06, eta: 0:08:49, time: 0.379, data_time: 0.001, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9857, loss: 2.9857 |
| 2025-05-16 08:20:14,430 - pyskl - INFO - Epoch [149][800/1027] lr: 4.094e-06, eta: 0:08:10, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9660, loss: 2.9660 |
| 2025-05-16 08:20:51,754 - pyskl - INFO - Epoch [149][900/1027] lr: 3.467e-06, eta: 0:07:31, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0376, loss: 3.0376 |
| 2025-05-16 08:21:29,123 - pyskl - INFO - Epoch [149][1000/1027] lr: 2.893e-06, eta: 0:06:52, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1197, loss: 3.1197 |
| 2025-05-16 08:21:40,036 - pyskl - INFO - Saving checkpoint at 149 epochs |
| 2025-05-16 08:22:17,611 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 08:22:17,682 - pyskl - INFO - |
| top1_acc 0.7248 |
| top5_acc 0.9254 |
| 2025-05-16 08:22:17,683 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 08:22:17,690 - pyskl - INFO - |
| mean_acc 0.7236 |
| 2025-05-16 08:22:17,692 - pyskl - INFO - Epoch(val) [149][413] top1_acc: 0.7248, top5_acc: 0.9254, mean_class_accuracy: 0.7236 |
| 2025-05-16 08:23:20,482 - pyskl - INFO - Epoch [150][100/1027] lr: 2.238e-06, eta: 0:06:02, time: 0.628, data_time: 0.254, memory: 7959, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 3.0722, loss: 3.0722 |
| 2025-05-16 08:23:57,830 - pyskl - INFO - Epoch [150][200/1027] lr: 1.782e-06, eta: 0:05:23, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9837, loss: 2.9837 |
| 2025-05-16 08:24:35,295 - pyskl - INFO - Epoch [150][300/1027] lr: 1.378e-06, eta: 0:04:44, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0552, loss: 3.0552 |
| 2025-05-16 08:25:13,069 - pyskl - INFO - Epoch [150][400/1027] lr: 1.025e-06, eta: 0:04:05, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 3.0404, loss: 3.0404 |
| 2025-05-16 08:25:50,780 - pyskl - INFO - Epoch [150][500/1027] lr: 7.246e-07, eta: 0:03:26, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0270, loss: 3.0270 |
| 2025-05-16 08:26:28,915 - pyskl - INFO - Epoch [150][600/1027] lr: 4.761e-07, eta: 0:02:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9813, loss: 2.9813 |
| 2025-05-16 08:27:06,816 - pyskl - INFO - Epoch [150][700/1027] lr: 2.796e-07, eta: 0:02:07, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 3.0673, loss: 3.0673 |
| 2025-05-16 08:27:44,471 - pyskl - INFO - Epoch [150][800/1027] lr: 1.351e-07, eta: 0:01:28, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9199, loss: 2.9199 |
| 2025-05-16 08:28:22,382 - pyskl - INFO - Epoch [150][900/1027] lr: 4.259e-08, eta: 0:00:49, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 3.0164, loss: 3.0164 |
| 2025-05-16 08:29:00,181 - pyskl - INFO - Epoch [150][1000/1027] lr: 2.038e-09, eta: 0:00:10, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0344, loss: 3.0344 |
| 2025-05-16 08:29:11,220 - pyskl - INFO - Saving checkpoint at 150 epochs |
| 2025-05-16 08:29:48,446 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 08:29:48,517 - pyskl - INFO - |
| top1_acc 0.7250 |
| top5_acc 0.9242 |
| 2025-05-16 08:29:48,518 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 08:29:48,526 - pyskl - INFO - |
| mean_acc 0.7233 |
| 2025-05-16 08:29:48,528 - pyskl - INFO - Epoch(val) [150][413] top1_acc: 0.7250, top5_acc: 0.9242, mean_class_accuracy: 0.7233 |
| 2025-05-16 08:29:57,978 - pyskl - INFO - 6599 videos remain after valid thresholding |
| 2025-05-16 08:33:24,873 - pyskl - INFO - Testing results of the last checkpoint |
| 2025-05-16 08:33:24,873 - pyskl - INFO - top1_acc: 0.7327 |
| 2025-05-16 08:33:24,873 - pyskl - INFO - top5_acc: 0.9282 |
| 2025-05-16 08:33:24,873 - pyskl - INFO - mean_class_accuracy: 0.7312 |
| 2025-05-16 08:33:24,874 - pyskl - INFO - load checkpoint from local path: ./work_dirs/uav_csv2/b_1/best_top1_acc_epoch_139.pth |
| 2025-05-16 08:36:50,784 - pyskl - INFO - Testing results of the best checkpoint |
| 2025-05-16 08:36:50,785 - pyskl - INFO - top1_acc: 0.7398 |
| 2025-05-16 08:36:50,785 - pyskl - INFO - top5_acc: 0.9298 |
| 2025-05-16 08:36:50,785 - pyskl - INFO - mean_class_accuracy: 0.7400 |
|
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