| 2025-06-01 07:42:47,913 - 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+ |
| ------------------------------------------------------------ |
|
|
| 2025-06-01 07:42:48,261 - pyskl - INFO - Config: modality = 'jm' |
| graph = 'uav' |
| work_dir = './work_dirs/uav_csv2/jm' |
| model = dict( |
| type='RecognizerGCN', |
| backbone=dict( |
| type='GCN_Module_LLM', |
| llm_model='gpt4o', |
| llm_modality='jm', |
| 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/jm', |
| interval_epoch=5, |
| weight_1=0.2, |
| weight_2=0.2)) |
| 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=['jm']), |
| 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=['jm']), |
| 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=['jm']), |
| 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=['jm']), |
| 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=['jm']), |
| 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=['jm']), |
| 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) |
|
|
| 2025-06-01 07:42:48,261 - pyskl - INFO - Set random seed to 1698744039, deterministic: False |
| 2025-06-01 07:43:01,232 - pyskl - INFO - 16432 videos remain after valid thresholding |
| 2025-06-01 07:43:08,586 - pyskl - INFO - 6599 videos remain after valid thresholding |
| 2025-06-01 07:43:08,631 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/uav_csv2/jm |
| 2025-06-01 07:43:08,631 - pyskl - INFO - Hooks will be executed in the following order: |
| before_run: |
| (VERY_HIGH ) CosineAnnealingLrUpdaterHook |
| (NORMAL ) CustomCheckpointHook |
| (NORMAL ) DistEvalHook |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| before_train_epoch: |
| (VERY_HIGH ) CosineAnnealingLrUpdaterHook |
| (NORMAL ) DistSamplerSeedHook |
| (NORMAL ) DistEvalHook |
| (LOW ) IterTimerHook |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| before_train_iter: |
| (VERY_HIGH ) CosineAnnealingLrUpdaterHook |
| (NORMAL ) DistEvalHook |
| (LOW ) IterTimerHook |
| -------------------- |
| after_train_iter: |
| (ABOVE_NORMAL) OptimizerHook |
| (NORMAL ) CustomCheckpointHook |
| (NORMAL ) DistEvalHook |
| (LOW ) IterTimerHook |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| after_train_epoch: |
| (NORMAL ) CustomCheckpointHook |
| (NORMAL ) DistEvalHook |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| before_val_epoch: |
| (NORMAL ) DistSamplerSeedHook |
| (LOW ) IterTimerHook |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| before_val_iter: |
| (LOW ) IterTimerHook |
| -------------------- |
| after_val_iter: |
| (LOW ) IterTimerHook |
| -------------------- |
| after_val_epoch: |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| after_run: |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| 2025-06-01 07:43:08,631 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs |
| 2025-06-01 07:43:08,631 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/uav_csv2/jm by HardDiskBackend. |
| 2025-06-01 07:44:12,264 - pyskl - INFO - Epoch [1][100/1027] lr: 2.500e-02, eta: 1 day, 3:12:35, time: 0.636, data_time: 0.250, memory: 7959, top1_acc: 0.0081, top5_acc: 0.0506, loss_cls: 11.8444, loss: 11.8444 |
| 2025-06-01 07:44:50,605 - pyskl - INFO - Epoch [1][200/1027] lr: 2.500e-02, eta: 21:47:18, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0100, top5_acc: 0.0606, loss_cls: 11.3686, loss: 11.3686 |
| 2025-06-01 07:45:28,689 - pyskl - INFO - Epoch [1][300/1027] lr: 2.500e-02, eta: 19:56:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0144, top5_acc: 0.0719, loss_cls: 11.2446, loss: 11.2446 |
| 2025-06-01 07:46:06,705 - pyskl - INFO - Epoch [1][400/1027] lr: 2.500e-02, eta: 18:59:59, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0725, loss_cls: 11.1013, loss: 11.1013 |
| 2025-06-01 07:46:44,683 - pyskl - INFO - Epoch [1][500/1027] lr: 2.500e-02, eta: 18:25:47, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0213, top5_acc: 0.0756, loss_cls: 11.0826, loss: 11.0826 |
| 2025-06-01 07:47:22,708 - pyskl - INFO - Epoch [1][600/1027] lr: 2.500e-02, eta: 18:02:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0187, top5_acc: 0.0712, loss_cls: 11.0435, loss: 11.0435 |
| 2025-06-01 07:48:00,715 - pyskl - INFO - Epoch [1][700/1027] lr: 2.500e-02, eta: 17:46:25, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0175, top5_acc: 0.0612, loss_cls: 11.0367, loss: 11.0367 |
| 2025-06-01 07:48:39,365 - pyskl - INFO - Epoch [1][800/1027] lr: 2.500e-02, eta: 17:35:54, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.0225, top5_acc: 0.0844, loss_cls: 10.9883, loss: 10.9883 |
| 2025-06-01 07:49:18,002 - pyskl - INFO - Epoch [1][900/1027] lr: 2.500e-02, eta: 17:27:32, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.0106, top5_acc: 0.0631, loss_cls: 10.9668, loss: 10.9668 |
| 2025-06-01 07:49:56,783 - pyskl - INFO - Epoch [1][1000/1027] lr: 2.500e-02, eta: 17:21:05, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.0169, top5_acc: 0.0744, loss_cls: 10.9905, loss: 10.9905 |
| 2025-06-01 07:50:07,911 - pyskl - INFO - Saving checkpoint at 1 epochs |
| 2025-06-01 07:50:46,396 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 07:50:46,468 - pyskl - INFO - |
| top1_acc 0.0056 |
| top5_acc 0.0383 |
| 2025-06-01 07:50:46,468 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 07:50:46,481 - pyskl - INFO - |
| mean_acc 0.0070 |
| 2025-06-01 07:50:48,144 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. |
| 2025-06-01 07:50:48,146 - pyskl - INFO - Best top1_acc is 0.0056 at 1 epoch. |
| 2025-06-01 07:50:48,149 - pyskl - INFO - Epoch(val) [1][413] top1_acc: 0.0056, top5_acc: 0.0383, mean_class_accuracy: 0.0070 |
| 2025-06-01 07:51:54,607 - pyskl - INFO - Epoch [2][100/1027] lr: 2.500e-02, eta: 17:53:17, time: 0.665, data_time: 0.276, memory: 7959, top1_acc: 0.0131, top5_acc: 0.0781, loss_cls: 10.8953, loss: 10.8953 |
| 2025-06-01 07:52:33,015 - pyskl - INFO - Epoch [2][200/1027] lr: 2.500e-02, eta: 17:44:53, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.0200, top5_acc: 0.0862, loss_cls: 10.8725, loss: 10.8725 |
| 2025-06-01 07:53:11,412 - pyskl - INFO - Epoch [2][300/1027] lr: 2.500e-02, eta: 17:37:39, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.0206, top5_acc: 0.0831, loss_cls: 10.8626, loss: 10.8626 |
| 2025-06-01 07:53:49,553 - pyskl - INFO - Epoch [2][400/1027] lr: 2.499e-02, eta: 17:30:52, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0281, top5_acc: 0.1100, loss_cls: 10.8198, loss: 10.8198 |
| 2025-06-01 07:54:27,687 - pyskl - INFO - Epoch [2][500/1027] lr: 2.499e-02, eta: 17:24:54, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0200, top5_acc: 0.0956, loss_cls: 10.8036, loss: 10.8036 |
| 2025-06-01 07:55:05,972 - pyskl - INFO - Epoch [2][600/1027] lr: 2.499e-02, eta: 17:19:48, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0231, top5_acc: 0.0869, loss_cls: 10.7872, loss: 10.7872 |
| 2025-06-01 07:55:44,088 - pyskl - INFO - Epoch [2][700/1027] lr: 2.499e-02, eta: 17:14:59, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0181, top5_acc: 0.0750, loss_cls: 10.7906, loss: 10.7906 |
| 2025-06-01 07:56:22,332 - pyskl - INFO - Epoch [2][800/1027] lr: 2.499e-02, eta: 17:10:48, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.0238, top5_acc: 0.0838, loss_cls: 10.7822, loss: 10.7822 |
| 2025-06-01 07:57:00,741 - pyskl - INFO - Epoch [2][900/1027] lr: 2.499e-02, eta: 17:07:12, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.0238, top5_acc: 0.0956, loss_cls: 10.7664, loss: 10.7664 |
| 2025-06-01 07:57:39,150 - pyskl - INFO - Epoch [2][1000/1027] lr: 2.499e-02, eta: 17:03:53, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.0138, top5_acc: 0.0925, loss_cls: 10.7461, loss: 10.7461 |
| 2025-06-01 07:57:50,449 - pyskl - INFO - Saving checkpoint at 2 epochs |
| 2025-06-01 07:58:28,106 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 07:58:28,176 - pyskl - INFO - |
| top1_acc 0.0212 |
| top5_acc 0.1132 |
| 2025-06-01 07:58:28,177 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 07:58:28,185 - pyskl - INFO - |
| mean_acc 0.0219 |
| 2025-06-01 07:58:28,239 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_1.pth was removed |
| 2025-06-01 07:58:29,731 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. |
| 2025-06-01 07:58:29,732 - pyskl - INFO - Best top1_acc is 0.0212 at 2 epoch. |
| 2025-06-01 07:58:29,735 - pyskl - INFO - Epoch(val) [2][413] top1_acc: 0.0212, top5_acc: 0.1132, mean_class_accuracy: 0.0219 |
| 2025-06-01 07:59:33,632 - pyskl - INFO - Epoch [3][100/1027] lr: 2.499e-02, eta: 17:17:48, time: 0.639, data_time: 0.255, memory: 7959, top1_acc: 0.0256, top5_acc: 0.1025, loss_cls: 10.5961, loss: 10.5961 |
| 2025-06-01 08:00:12,118 - pyskl - INFO - Epoch [3][200/1027] lr: 2.499e-02, eta: 17:14:18, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.0194, top5_acc: 0.1163, loss_cls: 10.6490, loss: 10.6490 |
| 2025-06-01 08:00:50,609 - pyskl - INFO - Epoch [3][300/1027] lr: 2.499e-02, eta: 17:11:03, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.0262, top5_acc: 0.1187, loss_cls: 10.5553, loss: 10.5553 |
| 2025-06-01 08:01:28,693 - pyskl - INFO - Epoch [3][400/1027] lr: 2.498e-02, eta: 17:07:36, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0306, top5_acc: 0.1338, loss_cls: 10.5799, loss: 10.5799 |
| 2025-06-01 08:02:06,706 - pyskl - INFO - Epoch [3][500/1027] lr: 2.498e-02, eta: 17:04:17, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0319, top5_acc: 0.1263, loss_cls: 10.5437, loss: 10.5437 |
| 2025-06-01 08:02:44,747 - pyskl - INFO - Epoch [3][600/1027] lr: 2.498e-02, eta: 17:01:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0350, top5_acc: 0.1306, loss_cls: 10.5079, loss: 10.5079 |
| 2025-06-01 08:03:22,859 - pyskl - INFO - Epoch [3][700/1027] lr: 2.498e-02, eta: 16:58:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0288, top5_acc: 0.1481, loss_cls: 10.4470, loss: 10.4470 |
| 2025-06-01 08:04:01,211 - pyskl - INFO - Epoch [3][800/1027] lr: 2.498e-02, eta: 16:55:54, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.0262, top5_acc: 0.1431, loss_cls: 10.4003, loss: 10.4003 |
| 2025-06-01 08:04:39,471 - pyskl - INFO - Epoch [3][900/1027] lr: 2.498e-02, eta: 16:53:29, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0394, top5_acc: 0.1450, loss_cls: 10.3825, loss: 10.3825 |
| 2025-06-01 08:05:17,927 - pyskl - INFO - Epoch [3][1000/1027] lr: 2.498e-02, eta: 16:51:20, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.0362, top5_acc: 0.1500, loss_cls: 10.3759, loss: 10.3759 |
| 2025-06-01 08:05:28,980 - pyskl - INFO - Saving checkpoint at 3 epochs |
| 2025-06-01 08:06:06,372 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 08:06:06,439 - pyskl - INFO - |
| top1_acc 0.0308 |
| top5_acc 0.1129 |
| 2025-06-01 08:06:06,440 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 08:06:06,448 - pyskl - INFO - |
| mean_acc 0.0335 |
| 2025-06-01 08:06:06,502 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_2.pth was removed |
| 2025-06-01 08:06:08,015 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. |
| 2025-06-01 08:06:08,017 - pyskl - INFO - Best top1_acc is 0.0308 at 3 epoch. |
| 2025-06-01 08:06:08,020 - pyskl - INFO - Epoch(val) [3][413] top1_acc: 0.0308, top5_acc: 0.1129, mean_class_accuracy: 0.0335 |
| 2025-06-01 08:07:12,396 - pyskl - INFO - Epoch [4][100/1027] lr: 2.497e-02, eta: 17:01:01, time: 0.644, data_time: 0.258, memory: 7959, top1_acc: 0.0362, top5_acc: 0.1512, loss_cls: 10.2560, loss: 10.2560 |
| 2025-06-01 08:07:50,959 - pyskl - INFO - Epoch [4][200/1027] lr: 2.497e-02, eta: 16:58:47, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.0400, top5_acc: 0.1512, loss_cls: 10.2913, loss: 10.2913 |
| 2025-06-01 08:08:29,482 - pyskl - INFO - Epoch [4][300/1027] lr: 2.497e-02, eta: 16:56:36, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.0413, top5_acc: 0.1581, loss_cls: 10.2727, loss: 10.2727 |
| 2025-06-01 08:09:07,922 - pyskl - INFO - Epoch [4][400/1027] lr: 2.497e-02, eta: 16:54:27, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.0394, top5_acc: 0.1713, loss_cls: 10.2787, loss: 10.2787 |
| 2025-06-01 08:09:46,022 - pyskl - INFO - Epoch [4][500/1027] lr: 2.497e-02, eta: 16:52:09, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0456, top5_acc: 0.1713, loss_cls: 10.2113, loss: 10.2113 |
| 2025-06-01 08:10:24,117 - pyskl - INFO - Epoch [4][600/1027] lr: 2.496e-02, eta: 16:49:56, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0375, top5_acc: 0.1675, loss_cls: 10.2224, loss: 10.2224 |
| 2025-06-01 08:11:02,204 - pyskl - INFO - Epoch [4][700/1027] lr: 2.496e-02, eta: 16:47:48, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0450, top5_acc: 0.1725, loss_cls: 10.1512, loss: 10.1512 |
| 2025-06-01 08:11:40,688 - pyskl - INFO - Epoch [4][800/1027] lr: 2.496e-02, eta: 16:46:00, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.0469, top5_acc: 0.1913, loss_cls: 10.1323, loss: 10.1323 |
| 2025-06-01 08:12:19,025 - pyskl - INFO - Epoch [4][900/1027] lr: 2.496e-02, eta: 16:44:09, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0494, top5_acc: 0.1800, loss_cls: 10.1243, loss: 10.1243 |
| 2025-06-01 08:12:57,521 - pyskl - INFO - Epoch [4][1000/1027] lr: 2.496e-02, eta: 16:42:28, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.0519, top5_acc: 0.1919, loss_cls: 10.1037, loss: 10.1037 |
| 2025-06-01 08:13:08,602 - pyskl - INFO - Saving checkpoint at 4 epochs |
| 2025-06-01 08:13:46,004 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 08:13:46,074 - pyskl - INFO - |
| top1_acc 0.0633 |
| top5_acc 0.2414 |
| 2025-06-01 08:13:46,075 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 08:13:46,082 - pyskl - INFO - |
| mean_acc 0.0641 |
| 2025-06-01 08:13:46,137 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_3.pth was removed |
| 2025-06-01 08:13:47,646 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. |
| 2025-06-01 08:13:47,648 - pyskl - INFO - Best top1_acc is 0.0633 at 4 epoch. |
| 2025-06-01 08:13:47,651 - pyskl - INFO - Epoch(val) [4][413] top1_acc: 0.0633, top5_acc: 0.2414, mean_class_accuracy: 0.0641 |
| 2025-06-01 08:14:51,111 - pyskl - INFO - Epoch [5][100/1027] lr: 2.495e-02, eta: 16:49:03, time: 0.635, data_time: 0.252, memory: 7959, top1_acc: 0.0425, top5_acc: 0.2069, loss_cls: 10.0208, loss: 10.0208 |
| 2025-06-01 08:15:29,457 - pyskl - INFO - Epoch [5][200/1027] lr: 2.495e-02, eta: 16:47:11, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0519, top5_acc: 0.2006, loss_cls: 9.9806, loss: 9.9806 |
| 2025-06-01 08:16:07,754 - pyskl - INFO - Epoch [5][300/1027] lr: 2.495e-02, eta: 16:45:21, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0612, top5_acc: 0.2400, loss_cls: 9.8812, loss: 9.8812 |
| 2025-06-01 08:16:45,887 - pyskl - INFO - Epoch [5][400/1027] lr: 2.495e-02, eta: 16:43:28, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0681, top5_acc: 0.2206, loss_cls: 10.0143, loss: 10.0143 |
| 2025-06-01 08:17:23,996 - pyskl - INFO - Epoch [5][500/1027] lr: 2.494e-02, eta: 16:41:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0681, top5_acc: 0.2531, loss_cls: 9.8345, loss: 9.8345 |
| 2025-06-01 08:18:02,083 - pyskl - INFO - Epoch [5][600/1027] lr: 2.494e-02, eta: 16:39:51, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0669, top5_acc: 0.2362, loss_cls: 9.8549, loss: 9.8549 |
| 2025-06-01 08:18:40,278 - pyskl - INFO - Epoch [5][700/1027] lr: 2.494e-02, eta: 16:38:09, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.0700, top5_acc: 0.2669, loss_cls: 9.7581, loss: 9.7581 |
| 2025-06-01 08:19:18,701 - pyskl - INFO - Epoch [5][800/1027] lr: 2.494e-02, eta: 16:36:37, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.0725, top5_acc: 0.2712, loss_cls: 9.8214, loss: 9.8214 |
| 2025-06-01 08:19:56,771 - pyskl - INFO - Epoch [5][900/1027] lr: 2.493e-02, eta: 16:34:57, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.0856, top5_acc: 0.2762, loss_cls: 9.7473, loss: 9.7473 |
| 2025-06-01 08:20:35,059 - pyskl - INFO - Epoch [5][1000/1027] lr: 2.493e-02, eta: 16:33:25, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0838, top5_acc: 0.3013, loss_cls: 9.6192, loss: 9.6192 |
| 2025-06-01 08:20:46,221 - pyskl - INFO - Saving checkpoint at 5 epochs |
| 2025-06-01 08:41:04,072 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 08:41:04,146 - pyskl - INFO - |
| top1_acc 0.0865 |
| top5_acc 0.3291 |
| 2025-06-01 08:41:04,146 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 08:41:04,153 - pyskl - INFO - |
| mean_acc 0.0853 |
| 2025-06-01 08:41:04,207 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_4.pth was removed |
| 2025-06-01 08:41:05,728 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. |
| 2025-06-01 08:41:05,729 - pyskl - INFO - Best top1_acc is 0.0865 at 5 epoch. |
| 2025-06-01 08:41:05,732 - pyskl - INFO - Epoch(val) [5][413] top1_acc: 0.0865, top5_acc: 0.3291, mean_class_accuracy: 0.0853 |
| 2025-06-01 08:42:09,538 - pyskl - INFO - Epoch [6][100/1027] lr: 2.493e-02, eta: 16:38:43, time: 0.638, data_time: 0.254, memory: 7959, top1_acc: 0.0750, top5_acc: 0.2869, loss_cls: 9.6579, loss: 9.6579 |
| 2025-06-01 08:42:47,730 - pyskl - INFO - Epoch [6][200/1027] lr: 2.493e-02, eta: 16:37:05, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.0906, top5_acc: 0.3137, loss_cls: 9.5964, loss: 9.5964 |
| 2025-06-01 08:43:26,119 - pyskl - INFO - Epoch [6][300/1027] lr: 2.492e-02, eta: 16:35:34, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.1037, top5_acc: 0.3294, loss_cls: 9.5227, loss: 9.5227 |
| 2025-06-01 08:44:04,434 - pyskl - INFO - Epoch [6][400/1027] lr: 2.492e-02, eta: 16:34:04, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1050, top5_acc: 0.3300, loss_cls: 9.5049, loss: 9.5049 |
| 2025-06-01 08:44:42,719 - pyskl - INFO - Epoch [6][500/1027] lr: 2.492e-02, eta: 16:32:34, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.0988, top5_acc: 0.3463, loss_cls: 9.4038, loss: 9.4038 |
| 2025-06-01 08:45:20,840 - pyskl - INFO - Epoch [6][600/1027] lr: 2.491e-02, eta: 16:31:02, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.1075, top5_acc: 0.3556, loss_cls: 9.4175, loss: 9.4175 |
| 2025-06-01 08:45:59,551 - pyskl - INFO - Epoch [6][700/1027] lr: 2.491e-02, eta: 16:29:47, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.1087, top5_acc: 0.3469, loss_cls: 9.3771, loss: 9.3771 |
| 2025-06-01 08:46:37,962 - pyskl - INFO - Epoch [6][800/1027] lr: 2.491e-02, eta: 16:28:26, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.1081, top5_acc: 0.3569, loss_cls: 9.4294, loss: 9.4294 |
| 2025-06-01 08:47:16,421 - pyskl - INFO - Epoch [6][900/1027] lr: 2.491e-02, eta: 16:27:07, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.1119, top5_acc: 0.3538, loss_cls: 9.4400, loss: 9.4400 |
| 2025-06-01 08:47:54,589 - pyskl - INFO - Epoch [6][1000/1027] lr: 2.490e-02, eta: 16:25:42, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.1169, top5_acc: 0.3669, loss_cls: 9.3364, loss: 9.3364 |
| 2025-06-01 08:48:05,758 - pyskl - INFO - Saving checkpoint at 6 epochs |
| 2025-06-01 08:48:42,882 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 08:48:42,956 - pyskl - INFO - |
| top1_acc 0.1702 |
| top5_acc 0.4863 |
| 2025-06-01 08:48:42,956 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 08:48:42,966 - pyskl - INFO - |
| mean_acc 0.1712 |
| 2025-06-01 08:48:43,026 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_5.pth was removed |
| 2025-06-01 08:48:44,691 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. |
| 2025-06-01 08:48:44,693 - pyskl - INFO - Best top1_acc is 0.1702 at 6 epoch. |
| 2025-06-01 08:48:44,697 - pyskl - INFO - Epoch(val) [6][413] top1_acc: 0.1702, top5_acc: 0.4863, mean_class_accuracy: 0.1712 |
| 2025-06-01 08:49:49,370 - pyskl - INFO - Epoch [7][100/1027] lr: 2.490e-02, eta: 16:30:19, time: 0.647, data_time: 0.261, memory: 7959, top1_acc: 0.1219, top5_acc: 0.3950, loss_cls: 9.2379, loss: 9.2379 |
| 2025-06-01 08:50:27,670 - pyskl - INFO - Epoch [7][200/1027] lr: 2.489e-02, eta: 16:28:55, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1350, top5_acc: 0.4000, loss_cls: 9.1570, loss: 9.1570 |
| 2025-06-01 08:51:05,949 - pyskl - INFO - Epoch [7][300/1027] lr: 2.489e-02, eta: 16:27:31, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1288, top5_acc: 0.4075, loss_cls: 9.1777, loss: 9.1777 |
| 2025-06-01 08:51:44,250 - pyskl - INFO - Epoch [7][400/1027] lr: 2.489e-02, eta: 16:26:09, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1338, top5_acc: 0.3944, loss_cls: 9.1385, loss: 9.1385 |
| 2025-06-01 08:52:22,444 - pyskl - INFO - Epoch [7][500/1027] lr: 2.488e-02, eta: 16:24:47, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.1350, top5_acc: 0.4019, loss_cls: 9.1808, loss: 9.1808 |
| 2025-06-01 08:53:00,526 - pyskl - INFO - Epoch [7][600/1027] lr: 2.488e-02, eta: 16:23:23, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.1437, top5_acc: 0.4231, loss_cls: 9.0835, loss: 9.0835 |
| 2025-06-01 08:53:38,858 - pyskl - INFO - Epoch [7][700/1027] lr: 2.488e-02, eta: 16:22:06, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1269, top5_acc: 0.3950, loss_cls: 9.1888, loss: 9.1888 |
| 2025-06-01 08:54:17,305 - pyskl - INFO - Epoch [7][800/1027] lr: 2.487e-02, eta: 16:20:52, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.1450, top5_acc: 0.4375, loss_cls: 8.9965, loss: 8.9965 |
| 2025-06-01 08:54:55,873 - pyskl - INFO - Epoch [7][900/1027] lr: 2.487e-02, eta: 16:19:42, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.1469, top5_acc: 0.4419, loss_cls: 9.0175, loss: 9.0175 |
| 2025-06-01 08:55:34,280 - pyskl - INFO - Epoch [7][1000/1027] lr: 2.487e-02, eta: 16:18:30, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.1500, top5_acc: 0.4350, loss_cls: 9.0572, loss: 9.0572 |
| 2025-06-01 08:55:45,389 - pyskl - INFO - Saving checkpoint at 7 epochs |
| 2025-06-01 08:56:22,290 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 08:56:22,359 - pyskl - INFO - |
| top1_acc 0.1997 |
| top5_acc 0.5334 |
| 2025-06-01 08:56:22,360 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 08:56:22,368 - pyskl - INFO - |
| mean_acc 0.2023 |
| 2025-06-01 08:56:22,423 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_6.pth was removed |
| 2025-06-01 08:56:23,899 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. |
| 2025-06-01 08:56:23,900 - pyskl - INFO - Best top1_acc is 0.1997 at 7 epoch. |
| 2025-06-01 08:56:23,903 - pyskl - INFO - Epoch(val) [7][413] top1_acc: 0.1997, top5_acc: 0.5334, mean_class_accuracy: 0.2023 |
| 2025-06-01 08:57:28,793 - pyskl - INFO - Epoch [8][100/1027] lr: 2.486e-02, eta: 16:22:23, time: 0.649, data_time: 0.262, memory: 7959, top1_acc: 0.1669, top5_acc: 0.4562, loss_cls: 8.9315, loss: 8.9315 |
| 2025-06-01 08:58:07,232 - pyskl - INFO - Epoch [8][200/1027] lr: 2.486e-02, eta: 16:21:09, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.1519, top5_acc: 0.4288, loss_cls: 8.9708, loss: 8.9708 |
| 2025-06-01 08:58:45,574 - pyskl - INFO - Epoch [8][300/1027] lr: 2.485e-02, eta: 16:19:53, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1575, top5_acc: 0.4562, loss_cls: 8.9347, loss: 8.9347 |
| 2025-06-01 08:59:24,130 - pyskl - INFO - Epoch [8][400/1027] lr: 2.485e-02, eta: 16:18:43, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.1650, top5_acc: 0.4612, loss_cls: 8.8482, loss: 8.8482 |
| 2025-06-01 09:00:02,348 - pyskl - INFO - Epoch [8][500/1027] lr: 2.485e-02, eta: 16:17:27, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.1519, top5_acc: 0.4356, loss_cls: 8.9460, loss: 8.9460 |
| 2025-06-01 09:00:40,463 - pyskl - INFO - Epoch [8][600/1027] lr: 2.484e-02, eta: 16:16:11, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.1669, top5_acc: 0.4781, loss_cls: 8.8468, loss: 8.8468 |
| 2025-06-01 09:01:18,648 - pyskl - INFO - Epoch [8][700/1027] lr: 2.484e-02, eta: 16:14:56, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.1588, top5_acc: 0.4556, loss_cls: 8.8909, loss: 8.8909 |
| 2025-06-01 09:01:56,899 - pyskl - INFO - Epoch [8][800/1027] lr: 2.483e-02, eta: 16:13:44, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.1600, top5_acc: 0.4619, loss_cls: 8.8306, loss: 8.8306 |
| 2025-06-01 09:02:35,348 - pyskl - INFO - Epoch [8][900/1027] lr: 2.483e-02, eta: 16:12:36, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.1731, top5_acc: 0.4637, loss_cls: 8.7525, loss: 8.7525 |
| 2025-06-01 09:03:13,664 - pyskl - INFO - Epoch [8][1000/1027] lr: 2.483e-02, eta: 16:11:26, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1819, top5_acc: 0.4675, loss_cls: 8.8313, loss: 8.8313 |
| 2025-06-01 09:03:24,801 - pyskl - INFO - Saving checkpoint at 8 epochs |
| 2025-06-01 09:04:01,891 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 09:04:01,961 - pyskl - INFO - |
| top1_acc 0.2088 |
| top5_acc 0.5645 |
| 2025-06-01 09:04:01,961 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 09:04:01,968 - pyskl - INFO - |
| mean_acc 0.2097 |
| 2025-06-01 09:04:02,026 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_7.pth was removed |
| 2025-06-01 09:04:03,538 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. |
| 2025-06-01 09:04:03,540 - pyskl - INFO - Best top1_acc is 0.2088 at 8 epoch. |
| 2025-06-01 09:04:03,543 - pyskl - INFO - Epoch(val) [8][413] top1_acc: 0.2088, top5_acc: 0.5645, mean_class_accuracy: 0.2097 |
| 2025-06-01 09:05:07,496 - pyskl - INFO - Epoch [9][100/1027] lr: 2.482e-02, eta: 16:14:26, time: 0.639, data_time: 0.255, memory: 7959, top1_acc: 0.1988, top5_acc: 0.5062, loss_cls: 8.6458, loss: 8.6458 |
| 2025-06-01 09:05:45,043 - pyskl - INFO - Epoch [9][200/1027] lr: 2.482e-02, eta: 16:13:02, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.1906, top5_acc: 0.4781, loss_cls: 8.7556, loss: 8.7556 |
| 2025-06-01 09:06:22,601 - pyskl - INFO - Epoch [9][300/1027] lr: 2.481e-02, eta: 16:11:38, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.1894, top5_acc: 0.4906, loss_cls: 8.7168, loss: 8.7168 |
| 2025-06-01 09:07:00,986 - pyskl - INFO - Epoch [9][400/1027] lr: 2.481e-02, eta: 16:10:30, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.2025, top5_acc: 0.5000, loss_cls: 8.6315, loss: 8.6315 |
| 2025-06-01 09:07:39,234 - pyskl - INFO - Epoch [9][500/1027] lr: 2.480e-02, eta: 16:09:20, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.1944, top5_acc: 0.5062, loss_cls: 8.6190, loss: 8.6190 |
| 2025-06-01 09:08:17,423 - pyskl - INFO - Epoch [9][600/1027] lr: 2.480e-02, eta: 16:08:10, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2075, top5_acc: 0.5238, loss_cls: 8.6179, loss: 8.6179 |
| 2025-06-01 09:08:55,554 - pyskl - INFO - Epoch [9][700/1027] lr: 2.479e-02, eta: 16:07:00, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.1819, top5_acc: 0.5100, loss_cls: 8.5758, loss: 8.5758 |
| 2025-06-01 09:09:33,856 - pyskl - INFO - Epoch [9][800/1027] lr: 2.479e-02, eta: 16:05:53, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.1988, top5_acc: 0.5225, loss_cls: 8.5883, loss: 8.5883 |
| 2025-06-01 09:10:12,423 - pyskl - INFO - Epoch [9][900/1027] lr: 2.478e-02, eta: 16:04:51, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.2100, top5_acc: 0.5138, loss_cls: 8.6070, loss: 8.6070 |
| 2025-06-01 09:10:50,781 - pyskl - INFO - Epoch [9][1000/1027] lr: 2.478e-02, eta: 16:03:46, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.2100, top5_acc: 0.5119, loss_cls: 8.5958, loss: 8.5958 |
| 2025-06-01 09:11:01,849 - pyskl - INFO - Saving checkpoint at 9 epochs |
| 2025-06-01 09:11:39,176 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 09:11:39,254 - pyskl - INFO - |
| top1_acc 0.2529 |
| top5_acc 0.5996 |
| 2025-06-01 09:11:39,254 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 09:11:39,264 - pyskl - INFO - |
| mean_acc 0.2539 |
| 2025-06-01 09:11:39,322 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_8.pth was removed |
| 2025-06-01 09:11:40,903 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. |
| 2025-06-01 09:11:40,905 - pyskl - INFO - Best top1_acc is 0.2529 at 9 epoch. |
| 2025-06-01 09:11:40,908 - pyskl - INFO - Epoch(val) [9][413] top1_acc: 0.2529, top5_acc: 0.5996, mean_class_accuracy: 0.2539 |
| 2025-06-01 09:12:45,230 - pyskl - INFO - Epoch [10][100/1027] lr: 2.477e-02, eta: 16:06:26, time: 0.643, data_time: 0.257, memory: 7959, top1_acc: 0.2231, top5_acc: 0.5188, loss_cls: 8.5236, loss: 8.5236 |
| 2025-06-01 09:13:23,386 - pyskl - INFO - Epoch [10][200/1027] lr: 2.477e-02, eta: 16:05:16, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2056, top5_acc: 0.5262, loss_cls: 8.4984, loss: 8.4984 |
| 2025-06-01 09:14:01,520 - pyskl - INFO - Epoch [10][300/1027] lr: 2.476e-02, eta: 16:04:07, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2131, top5_acc: 0.5294, loss_cls: 8.4773, loss: 8.4773 |
| 2025-06-01 09:14:39,820 - pyskl - INFO - Epoch [10][400/1027] lr: 2.476e-02, eta: 16:03:01, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2112, top5_acc: 0.5200, loss_cls: 8.5348, loss: 8.5348 |
| 2025-06-01 09:15:18,053 - pyskl - INFO - Epoch [10][500/1027] lr: 2.475e-02, eta: 16:01:55, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2350, top5_acc: 0.5387, loss_cls: 8.4706, loss: 8.4706 |
| 2025-06-01 09:15:56,153 - pyskl - INFO - Epoch [10][600/1027] lr: 2.475e-02, eta: 16:00:47, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2137, top5_acc: 0.5294, loss_cls: 8.4736, loss: 8.4736 |
| 2025-06-01 09:16:34,320 - pyskl - INFO - Epoch [10][700/1027] lr: 2.474e-02, eta: 15:59:41, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2275, top5_acc: 0.5325, loss_cls: 8.4531, loss: 8.4531 |
| 2025-06-01 09:17:12,792 - pyskl - INFO - Epoch [10][800/1027] lr: 2.474e-02, eta: 15:58:40, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.1950, top5_acc: 0.5131, loss_cls: 8.6316, loss: 8.6316 |
| 2025-06-01 09:17:50,815 - pyskl - INFO - Epoch [10][900/1027] lr: 2.473e-02, eta: 15:57:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.2263, top5_acc: 0.5369, loss_cls: 8.4741, loss: 8.4741 |
| 2025-06-01 09:18:28,775 - pyskl - INFO - Epoch [10][1000/1027] lr: 2.473e-02, eta: 15:56:25, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.2263, top5_acc: 0.5469, loss_cls: 8.4104, loss: 8.4104 |
| 2025-06-01 09:18:39,773 - pyskl - INFO - Saving checkpoint at 10 epochs |
| 2025-06-01 09:38:08,419 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 09:38:08,495 - pyskl - INFO - |
| top1_acc 0.2652 |
| top5_acc 0.6293 |
| 2025-06-01 09:38:08,495 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 09:38:08,502 - pyskl - INFO - |
| mean_acc 0.2645 |
| 2025-06-01 09:38:08,569 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_9.pth was removed |
| 2025-06-01 09:38:10,641 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. |
| 2025-06-01 09:38:10,644 - pyskl - INFO - Best top1_acc is 0.2652 at 10 epoch. |
| 2025-06-01 09:38:10,658 - pyskl - INFO - Epoch(val) [10][413] top1_acc: 0.2652, top5_acc: 0.6293, mean_class_accuracy: 0.2645 |
| 2025-06-01 09:39:16,108 - pyskl - INFO - Epoch [11][100/1027] lr: 2.472e-02, eta: 15:58:59, time: 0.654, data_time: 0.266, memory: 7959, top1_acc: 0.2319, top5_acc: 0.5575, loss_cls: 8.3566, loss: 8.3566 |
| 2025-06-01 09:39:54,503 - pyskl - INFO - Epoch [11][200/1027] lr: 2.472e-02, eta: 15:57:56, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.2506, top5_acc: 0.5569, loss_cls: 8.2755, loss: 8.2755 |
| 2025-06-01 09:40:32,600 - pyskl - INFO - Epoch [11][300/1027] lr: 2.471e-02, eta: 15:56:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2437, top5_acc: 0.5444, loss_cls: 8.3907, loss: 8.3907 |
| 2025-06-01 09:41:10,565 - pyskl - INFO - Epoch [11][400/1027] lr: 2.471e-02, eta: 15:55:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.2150, top5_acc: 0.5425, loss_cls: 8.4514, loss: 8.4514 |
| 2025-06-01 09:41:48,486 - pyskl - INFO - Epoch [11][500/1027] lr: 2.470e-02, eta: 15:54:35, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.2481, top5_acc: 0.5600, loss_cls: 8.3123, loss: 8.3123 |
| 2025-06-01 09:42:27,009 - pyskl - INFO - Epoch [11][600/1027] lr: 2.469e-02, eta: 15:53:36, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.2369, top5_acc: 0.5537, loss_cls: 8.3757, loss: 8.3757 |
| 2025-06-01 09:43:05,108 - pyskl - INFO - Epoch [11][700/1027] lr: 2.469e-02, eta: 15:52:31, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2362, top5_acc: 0.5469, loss_cls: 8.3967, loss: 8.3967 |
| 2025-06-01 09:43:42,833 - pyskl - INFO - Epoch [11][800/1027] lr: 2.468e-02, eta: 15:51:23, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.2344, top5_acc: 0.5394, loss_cls: 8.3477, loss: 8.3477 |
| 2025-06-01 09:44:20,595 - pyskl - INFO - Epoch [11][900/1027] lr: 2.468e-02, eta: 15:50:15, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.2425, top5_acc: 0.5600, loss_cls: 8.2846, loss: 8.2846 |
| 2025-06-01 09:44:58,201 - pyskl - INFO - Epoch [11][1000/1027] lr: 2.467e-02, eta: 15:49:06, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.2469, top5_acc: 0.5719, loss_cls: 8.3163, loss: 8.3163 |
| 2025-06-01 09:45:09,094 - pyskl - INFO - Saving checkpoint at 11 epochs |
| 2025-06-01 09:45:45,684 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 09:45:45,753 - pyskl - INFO - |
| top1_acc 0.2758 |
| top5_acc 0.6513 |
| 2025-06-01 09:45:45,753 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 09:45:45,761 - pyskl - INFO - |
| mean_acc 0.2782 |
| 2025-06-01 09:45:45,817 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_10.pth was removed |
| 2025-06-01 09:45:47,363 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. |
| 2025-06-01 09:45:47,365 - pyskl - INFO - Best top1_acc is 0.2758 at 11 epoch. |
| 2025-06-01 09:45:47,367 - pyskl - INFO - Epoch(val) [11][413] top1_acc: 0.2758, top5_acc: 0.6513, mean_class_accuracy: 0.2782 |
| 2025-06-01 09:46:50,349 - pyskl - INFO - Epoch [12][100/1027] lr: 2.466e-02, eta: 15:50:50, time: 0.630, data_time: 0.249, memory: 7959, top1_acc: 0.2525, top5_acc: 0.5906, loss_cls: 8.2378, loss: 8.2378 |
| 2025-06-01 09:47:28,158 - pyskl - INFO - Epoch [12][200/1027] lr: 2.466e-02, eta: 15:49:43, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.2431, top5_acc: 0.5463, loss_cls: 8.3141, loss: 8.3141 |
| 2025-06-01 09:48:06,081 - pyskl - INFO - Epoch [12][300/1027] lr: 2.465e-02, eta: 15:48:38, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.2681, top5_acc: 0.5687, loss_cls: 8.1361, loss: 8.1361 |
| 2025-06-01 09:48:43,955 - pyskl - INFO - Epoch [12][400/1027] lr: 2.465e-02, eta: 15:47:32, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.2606, top5_acc: 0.5663, loss_cls: 8.2674, loss: 8.2674 |
| 2025-06-01 09:49:21,597 - pyskl - INFO - Epoch [12][500/1027] lr: 2.464e-02, eta: 15:46:25, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.2675, top5_acc: 0.5981, loss_cls: 8.1938, loss: 8.1938 |
| 2025-06-01 09:49:59,545 - pyskl - INFO - Epoch [12][600/1027] lr: 2.463e-02, eta: 15:45:21, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.2400, top5_acc: 0.5556, loss_cls: 8.2590, loss: 8.2590 |
| 2025-06-01 09:50:37,619 - pyskl - INFO - Epoch [12][700/1027] lr: 2.463e-02, eta: 15:44:20, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2631, top5_acc: 0.5694, loss_cls: 8.3151, loss: 8.3151 |
| 2025-06-01 09:51:16,167 - pyskl - INFO - Epoch [12][800/1027] lr: 2.462e-02, eta: 15:43:24, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.2719, top5_acc: 0.5631, loss_cls: 8.2416, loss: 8.2416 |
| 2025-06-01 09:51:54,431 - pyskl - INFO - Epoch [12][900/1027] lr: 2.462e-02, eta: 15:42:25, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2469, top5_acc: 0.5687, loss_cls: 8.2219, loss: 8.2219 |
| 2025-06-01 09:52:32,112 - pyskl - INFO - Epoch [12][1000/1027] lr: 2.461e-02, eta: 15:41:20, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.2481, top5_acc: 0.5625, loss_cls: 8.3192, loss: 8.3192 |
| 2025-06-01 09:52:43,021 - pyskl - INFO - Saving checkpoint at 12 epochs |
| 2025-06-01 09:53:20,140 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 09:53:20,209 - pyskl - INFO - |
| top1_acc 0.2723 |
| top5_acc 0.6298 |
| 2025-06-01 09:53:20,209 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 09:53:20,216 - pyskl - INFO - |
| mean_acc 0.2717 |
| 2025-06-01 09:53:20,218 - pyskl - INFO - Epoch(val) [12][413] top1_acc: 0.2723, top5_acc: 0.6298, mean_class_accuracy: 0.2717 |
| 2025-06-01 09:54:23,318 - pyskl - INFO - Epoch [13][100/1027] lr: 2.460e-02, eta: 15:42:52, time: 0.631, data_time: 0.249, memory: 7959, top1_acc: 0.2806, top5_acc: 0.5938, loss_cls: 8.0896, loss: 8.0896 |
| 2025-06-01 09:55:01,217 - pyskl - INFO - Epoch [13][200/1027] lr: 2.459e-02, eta: 15:41:49, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.2644, top5_acc: 0.5756, loss_cls: 8.2523, loss: 8.2523 |
| 2025-06-01 09:55:39,416 - pyskl - INFO - Epoch [13][300/1027] lr: 2.459e-02, eta: 15:40:50, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2575, top5_acc: 0.5731, loss_cls: 8.3029, loss: 8.3029 |
| 2025-06-01 09:56:17,441 - pyskl - INFO - Epoch [13][400/1027] lr: 2.458e-02, eta: 15:39:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.2744, top5_acc: 0.5894, loss_cls: 8.1413, loss: 8.1413 |
| 2025-06-01 09:56:55,328 - pyskl - INFO - Epoch [13][500/1027] lr: 2.458e-02, eta: 15:38:47, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.2556, top5_acc: 0.5694, loss_cls: 8.1912, loss: 8.1912 |
| 2025-06-01 09:57:33,850 - pyskl - INFO - Epoch [13][600/1027] lr: 2.457e-02, eta: 15:37:52, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.2587, top5_acc: 0.5619, loss_cls: 8.3028, loss: 8.3028 |
| 2025-06-01 09:58:12,167 - pyskl - INFO - Epoch [13][700/1027] lr: 2.456e-02, eta: 15:36:55, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2750, top5_acc: 0.5875, loss_cls: 8.1349, loss: 8.1349 |
| 2025-06-01 09:58:50,124 - pyskl - INFO - Epoch [13][800/1027] lr: 2.456e-02, eta: 15:35:55, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.2800, top5_acc: 0.5906, loss_cls: 8.1018, loss: 8.1018 |
| 2025-06-01 09:59:28,062 - pyskl - INFO - Epoch [13][900/1027] lr: 2.455e-02, eta: 15:34:55, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.2831, top5_acc: 0.5831, loss_cls: 8.0276, loss: 8.0276 |
| 2025-06-01 10:00:05,828 - pyskl - INFO - Epoch [13][1000/1027] lr: 2.454e-02, eta: 15:33:53, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.2725, top5_acc: 0.5681, loss_cls: 8.1516, loss: 8.1516 |
| 2025-06-01 10:00:17,041 - pyskl - INFO - Saving checkpoint at 13 epochs |
| 2025-06-01 10:00:54,228 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 10:00:54,299 - pyskl - INFO - |
| top1_acc 0.3053 |
| top5_acc 0.6556 |
| 2025-06-01 10:00:54,299 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 10:00:54,307 - pyskl - INFO - |
| mean_acc 0.3053 |
| 2025-06-01 10:00:54,365 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_11.pth was removed |
| 2025-06-01 10:00:55,890 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. |
| 2025-06-01 10:00:55,892 - pyskl - INFO - Best top1_acc is 0.3053 at 13 epoch. |
| 2025-06-01 10:00:55,894 - pyskl - INFO - Epoch(val) [13][413] top1_acc: 0.3053, top5_acc: 0.6556, mean_class_accuracy: 0.3053 |
| 2025-06-01 10:02:00,327 - pyskl - INFO - Epoch [14][100/1027] lr: 2.453e-02, eta: 15:35:27, time: 0.644, data_time: 0.262, memory: 7959, top1_acc: 0.2750, top5_acc: 0.5837, loss_cls: 8.1412, loss: 8.1412 |
| 2025-06-01 10:02:39,793 - pyskl - INFO - Epoch [14][200/1027] lr: 2.453e-02, eta: 15:34:43, time: 0.395, data_time: 0.000, memory: 7959, top1_acc: 0.2856, top5_acc: 0.6119, loss_cls: 7.9803, loss: 7.9803 |
| 2025-06-01 10:03:17,876 - pyskl - INFO - Epoch [14][300/1027] lr: 2.452e-02, eta: 15:33:44, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2537, top5_acc: 0.5781, loss_cls: 8.1928, loss: 8.1928 |
| 2025-06-01 10:03:55,988 - pyskl - INFO - Epoch [14][400/1027] lr: 2.451e-02, eta: 15:32:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2794, top5_acc: 0.6031, loss_cls: 8.0602, loss: 8.0602 |
| 2025-06-01 10:04:33,789 - pyskl - INFO - Epoch [14][500/1027] lr: 2.450e-02, eta: 15:31:45, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.2694, top5_acc: 0.5881, loss_cls: 8.0574, loss: 8.0574 |
| 2025-06-01 10:05:11,897 - pyskl - INFO - Epoch [14][600/1027] lr: 2.450e-02, eta: 15:30:47, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2919, top5_acc: 0.5881, loss_cls: 8.0808, loss: 8.0808 |
| 2025-06-01 10:05:50,819 - pyskl - INFO - Epoch [14][700/1027] lr: 2.449e-02, eta: 15:29:58, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.2675, top5_acc: 0.6006, loss_cls: 8.1486, loss: 8.1486 |
| 2025-06-01 10:06:29,594 - pyskl - INFO - Epoch [14][800/1027] lr: 2.448e-02, eta: 15:29:07, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.2731, top5_acc: 0.5781, loss_cls: 8.1483, loss: 8.1483 |
| 2025-06-01 10:07:08,592 - pyskl - INFO - Epoch [14][900/1027] lr: 2.448e-02, eta: 15:28:19, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.2731, top5_acc: 0.5938, loss_cls: 8.1005, loss: 8.1005 |
| 2025-06-01 10:07:46,424 - pyskl - INFO - Epoch [14][1000/1027] lr: 2.447e-02, eta: 15:27:20, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.2644, top5_acc: 0.5875, loss_cls: 8.0470, loss: 8.0470 |
| 2025-06-01 10:07:57,377 - pyskl - INFO - Saving checkpoint at 14 epochs |
| 2025-06-01 10:08:34,863 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 10:08:34,933 - pyskl - INFO - |
| top1_acc 0.3229 |
| top5_acc 0.6889 |
| 2025-06-01 10:08:34,933 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 10:08:34,941 - pyskl - INFO - |
| mean_acc 0.3216 |
| 2025-06-01 10:08:34,999 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_13.pth was removed |
| 2025-06-01 10:08:36,535 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. |
| 2025-06-01 10:08:36,537 - pyskl - INFO - Best top1_acc is 0.3229 at 14 epoch. |
| 2025-06-01 10:08:36,539 - pyskl - INFO - Epoch(val) [14][413] top1_acc: 0.3229, top5_acc: 0.6889, mean_class_accuracy: 0.3216 |
| 2025-06-01 10:09:41,479 - pyskl - INFO - Epoch [15][100/1027] lr: 2.446e-02, eta: 15:28:47, time: 0.649, data_time: 0.262, memory: 7959, top1_acc: 0.2950, top5_acc: 0.6150, loss_cls: 7.9738, loss: 7.9738 |
| 2025-06-01 10:10:20,733 - pyskl - INFO - Epoch [15][200/1027] lr: 2.445e-02, eta: 15:28:01, time: 0.393, data_time: 0.000, memory: 7959, top1_acc: 0.3125, top5_acc: 0.6244, loss_cls: 7.8573, loss: 7.8573 |
| 2025-06-01 10:10:58,862 - pyskl - INFO - Epoch [15][300/1027] lr: 2.444e-02, eta: 15:27:04, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2800, top5_acc: 0.6106, loss_cls: 8.0419, loss: 8.0419 |
| 2025-06-01 10:11:36,963 - pyskl - INFO - Epoch [15][400/1027] lr: 2.444e-02, eta: 15:26:07, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2900, top5_acc: 0.5831, loss_cls: 8.1294, loss: 8.1294 |
| 2025-06-01 10:12:15,051 - pyskl - INFO - Epoch [15][500/1027] lr: 2.443e-02, eta: 15:25:10, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3000, top5_acc: 0.6156, loss_cls: 7.9671, loss: 7.9671 |
| 2025-06-01 10:12:52,958 - pyskl - INFO - Epoch [15][600/1027] lr: 2.442e-02, eta: 15:24:12, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.2825, top5_acc: 0.6100, loss_cls: 8.0313, loss: 8.0313 |
| 2025-06-01 10:13:30,599 - pyskl - INFO - Epoch [15][700/1027] lr: 2.441e-02, eta: 15:23:12, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.2769, top5_acc: 0.5919, loss_cls: 8.0981, loss: 8.0981 |
| 2025-06-01 10:14:08,342 - pyskl - INFO - Epoch [15][800/1027] lr: 2.441e-02, eta: 15:22:12, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.2744, top5_acc: 0.5906, loss_cls: 8.1012, loss: 8.1012 |
| 2025-06-01 10:14:45,950 - pyskl - INFO - Epoch [15][900/1027] lr: 2.440e-02, eta: 15:21:12, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.2719, top5_acc: 0.5894, loss_cls: 8.1489, loss: 8.1489 |
| 2025-06-01 10:15:23,547 - pyskl - INFO - Epoch [15][1000/1027] lr: 2.439e-02, eta: 15:20:12, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.2900, top5_acc: 0.6200, loss_cls: 8.0330, loss: 8.0330 |
| 2025-06-01 10:15:34,463 - pyskl - INFO - Saving checkpoint at 15 epochs |
| 2025-06-01 10:36:39,767 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 10:36:39,835 - pyskl - INFO - |
| top1_acc 0.3410 |
| top5_acc 0.6984 |
| 2025-06-01 10:36:39,835 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 10:36:39,843 - pyskl - INFO - |
| mean_acc 0.3402 |
| 2025-06-01 10:36:39,913 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_14.pth was removed |
| 2025-06-01 10:36:41,843 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. |
| 2025-06-01 10:36:41,845 - pyskl - INFO - Best top1_acc is 0.3410 at 15 epoch. |
| 2025-06-01 10:36:41,848 - pyskl - INFO - Epoch(val) [15][413] top1_acc: 0.3410, top5_acc: 0.6984, mean_class_accuracy: 0.3402 |
| 2025-06-01 10:37:47,806 - pyskl - INFO - Epoch [16][100/1027] lr: 2.438e-02, eta: 15:21:39, time: 0.660, data_time: 0.265, memory: 7959, top1_acc: 0.2888, top5_acc: 0.6044, loss_cls: 7.9433, loss: 7.9433 |
| 2025-06-01 10:38:25,899 - pyskl - INFO - Epoch [16][200/1027] lr: 2.437e-02, eta: 15:20:43, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3025, top5_acc: 0.6156, loss_cls: 7.8997, loss: 7.8997 |
| 2025-06-01 10:39:03,986 - pyskl - INFO - Epoch [16][300/1027] lr: 2.436e-02, eta: 15:19:47, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3075, top5_acc: 0.6225, loss_cls: 7.9705, loss: 7.9705 |
| 2025-06-01 10:39:41,953 - pyskl - INFO - Epoch [16][400/1027] lr: 2.436e-02, eta: 15:18:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.2913, top5_acc: 0.6012, loss_cls: 7.9203, loss: 7.9203 |
| 2025-06-01 10:40:21,020 - pyskl - INFO - Epoch [16][500/1027] lr: 2.435e-02, eta: 15:18:03, time: 0.391, data_time: 0.000, memory: 7959, top1_acc: 0.2831, top5_acc: 0.5988, loss_cls: 8.0100, loss: 8.0100 |
| 2025-06-01 10:40:59,491 - pyskl - INFO - Epoch [16][600/1027] lr: 2.434e-02, eta: 15:17:11, time: 0.385, data_time: 0.001, memory: 7959, top1_acc: 0.2925, top5_acc: 0.6050, loss_cls: 7.9236, loss: 7.9236 |
| 2025-06-01 10:41:37,820 - pyskl - INFO - Epoch [16][700/1027] lr: 2.433e-02, eta: 15:16:18, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.2650, top5_acc: 0.6088, loss_cls: 8.0448, loss: 8.0448 |
| 2025-06-01 10:42:16,379 - pyskl - INFO - Epoch [16][800/1027] lr: 2.432e-02, eta: 15:15:28, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.2881, top5_acc: 0.6069, loss_cls: 8.0854, loss: 8.0854 |
| 2025-06-01 10:42:54,689 - pyskl - INFO - Epoch [16][900/1027] lr: 2.432e-02, eta: 15:14:35, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3056, top5_acc: 0.6225, loss_cls: 7.9698, loss: 7.9698 |
| 2025-06-01 10:43:32,536 - pyskl - INFO - Epoch [16][1000/1027] lr: 2.431e-02, eta: 15:13:38, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3056, top5_acc: 0.6106, loss_cls: 7.8691, loss: 7.8691 |
| 2025-06-01 10:43:43,537 - pyskl - INFO - Saving checkpoint at 16 epochs |
| 2025-06-01 10:44:21,863 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 10:44:21,934 - pyskl - INFO - |
| top1_acc 0.3529 |
| top5_acc 0.7059 |
| 2025-06-01 10:44:21,934 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 10:44:21,946 - pyskl - INFO - |
| mean_acc 0.3488 |
| 2025-06-01 10:44:22,006 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_15.pth was removed |
| 2025-06-01 10:44:23,636 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. |
| 2025-06-01 10:44:23,638 - pyskl - INFO - Best top1_acc is 0.3529 at 16 epoch. |
| 2025-06-01 10:44:23,642 - pyskl - INFO - Epoch(val) [16][413] top1_acc: 0.3529, top5_acc: 0.7059, mean_class_accuracy: 0.3488 |
| 2025-06-01 10:45:30,444 - pyskl - INFO - Epoch [17][100/1027] lr: 2.430e-02, eta: 15:15:02, time: 0.668, data_time: 0.278, memory: 7959, top1_acc: 0.2963, top5_acc: 0.6081, loss_cls: 7.9788, loss: 7.9788 |
| 2025-06-01 10:46:09,627 - pyskl - INFO - Epoch [17][200/1027] lr: 2.429e-02, eta: 15:14:16, time: 0.392, data_time: 0.000, memory: 7959, top1_acc: 0.3038, top5_acc: 0.6181, loss_cls: 7.8518, loss: 7.8518 |
| 2025-06-01 10:46:47,961 - pyskl - INFO - Epoch [17][300/1027] lr: 2.428e-02, eta: 15:13:23, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3100, top5_acc: 0.6388, loss_cls: 7.8440, loss: 7.8440 |
| 2025-06-01 10:47:26,145 - pyskl - INFO - Epoch [17][400/1027] lr: 2.427e-02, eta: 15:12:29, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.2975, top5_acc: 0.6106, loss_cls: 7.9389, loss: 7.9389 |
| 2025-06-01 10:48:04,874 - pyskl - INFO - Epoch [17][500/1027] lr: 2.426e-02, eta: 15:11:40, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.3056, top5_acc: 0.6050, loss_cls: 7.8984, loss: 7.8984 |
| 2025-06-01 10:48:43,292 - pyskl - INFO - Epoch [17][600/1027] lr: 2.425e-02, eta: 15:10:48, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3088, top5_acc: 0.6100, loss_cls: 7.9478, loss: 7.9478 |
| 2025-06-01 10:49:21,319 - pyskl - INFO - Epoch [17][700/1027] lr: 2.424e-02, eta: 15:09:54, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.2963, top5_acc: 0.6181, loss_cls: 7.8504, loss: 7.8504 |
| 2025-06-01 10:49:59,473 - pyskl - INFO - Epoch [17][800/1027] lr: 2.424e-02, eta: 15:09:00, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3075, top5_acc: 0.6400, loss_cls: 7.8498, loss: 7.8498 |
| 2025-06-01 10:50:37,551 - pyskl - INFO - Epoch [17][900/1027] lr: 2.423e-02, eta: 15:08:06, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3006, top5_acc: 0.6075, loss_cls: 7.9117, loss: 7.9117 |
| 2025-06-01 10:51:15,510 - pyskl - INFO - Epoch [17][1000/1027] lr: 2.422e-02, eta: 15:07:11, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.2975, top5_acc: 0.6231, loss_cls: 7.9019, loss: 7.9019 |
| 2025-06-01 10:51:26,474 - pyskl - INFO - Saving checkpoint at 17 epochs |
| 2025-06-01 10:52:03,383 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 10:52:03,454 - pyskl - INFO - |
| top1_acc 0.3438 |
| top5_acc 0.6963 |
| 2025-06-01 10:52:03,454 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 10:52:03,462 - pyskl - INFO - |
| mean_acc 0.3414 |
| 2025-06-01 10:52:03,464 - pyskl - INFO - Epoch(val) [17][413] top1_acc: 0.3438, top5_acc: 0.6963, mean_class_accuracy: 0.3414 |
| 2025-06-01 10:53:10,812 - pyskl - INFO - Epoch [18][100/1027] lr: 2.421e-02, eta: 15:08:31, time: 0.673, data_time: 0.282, memory: 7959, top1_acc: 0.3144, top5_acc: 0.6225, loss_cls: 7.8921, loss: 7.8921 |
| 2025-06-01 10:53:49,350 - pyskl - INFO - Epoch [18][200/1027] lr: 2.420e-02, eta: 15:07:40, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.3094, top5_acc: 0.6269, loss_cls: 7.8077, loss: 7.8077 |
| 2025-06-01 10:54:27,495 - pyskl - INFO - Epoch [18][300/1027] lr: 2.419e-02, eta: 15:06:47, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3050, top5_acc: 0.6125, loss_cls: 7.8433, loss: 7.8433 |
| 2025-06-01 10:55:05,557 - pyskl - INFO - Epoch [18][400/1027] lr: 2.418e-02, eta: 15:05:52, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3075, top5_acc: 0.6319, loss_cls: 7.9460, loss: 7.9460 |
| 2025-06-01 10:55:43,632 - pyskl - INFO - Epoch [18][500/1027] lr: 2.417e-02, eta: 15:04:59, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3038, top5_acc: 0.6306, loss_cls: 7.9045, loss: 7.9045 |
| 2025-06-01 10:56:21,877 - pyskl - INFO - Epoch [18][600/1027] lr: 2.416e-02, eta: 15:04:06, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3162, top5_acc: 0.6162, loss_cls: 7.8705, loss: 7.8705 |
| 2025-06-01 10:57:00,118 - pyskl - INFO - Epoch [18][700/1027] lr: 2.415e-02, eta: 15:03:14, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3200, top5_acc: 0.6375, loss_cls: 7.7628, loss: 7.7628 |
| 2025-06-01 10:57:38,206 - pyskl - INFO - Epoch [18][800/1027] lr: 2.414e-02, eta: 15:02:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3312, top5_acc: 0.6512, loss_cls: 7.6920, loss: 7.6920 |
| 2025-06-01 10:58:16,285 - pyskl - INFO - Epoch [18][900/1027] lr: 2.413e-02, eta: 15:01:28, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.2906, top5_acc: 0.6031, loss_cls: 7.9242, loss: 7.9242 |
| 2025-06-01 10:58:54,299 - pyskl - INFO - Epoch [18][1000/1027] lr: 2.412e-02, eta: 15:00:34, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3200, top5_acc: 0.6375, loss_cls: 7.8009, loss: 7.8009 |
| 2025-06-01 10:59:05,330 - pyskl - INFO - Saving checkpoint at 18 epochs |
| 2025-06-01 10:59:43,397 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 10:59:43,471 - pyskl - INFO - |
| top1_acc 0.3731 |
| top5_acc 0.7222 |
| 2025-06-01 10:59:43,471 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 10:59:43,479 - pyskl - INFO - |
| mean_acc 0.3748 |
| 2025-06-01 10:59:43,548 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_16.pth was removed |
| 2025-06-01 10:59:45,282 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. |
| 2025-06-01 10:59:45,284 - pyskl - INFO - Best top1_acc is 0.3731 at 18 epoch. |
| 2025-06-01 10:59:45,288 - pyskl - INFO - Epoch(val) [18][413] top1_acc: 0.3731, top5_acc: 0.7222, mean_class_accuracy: 0.3748 |
| 2025-06-01 11:00:49,908 - pyskl - INFO - Epoch [19][100/1027] lr: 2.411e-02, eta: 15:01:26, time: 0.646, data_time: 0.259, memory: 7959, top1_acc: 0.3212, top5_acc: 0.6506, loss_cls: 7.6651, loss: 7.6651 |
| 2025-06-01 11:01:28,325 - pyskl - INFO - Epoch [19][200/1027] lr: 2.410e-02, eta: 15:00:35, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3069, top5_acc: 0.6256, loss_cls: 7.9326, loss: 7.9326 |
| 2025-06-01 11:02:06,485 - pyskl - INFO - Epoch [19][300/1027] lr: 2.409e-02, eta: 14:59:42, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3219, top5_acc: 0.6312, loss_cls: 7.8399, loss: 7.8399 |
| 2025-06-01 11:02:44,632 - pyskl - INFO - Epoch [19][400/1027] lr: 2.408e-02, eta: 14:58:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3356, top5_acc: 0.6356, loss_cls: 7.7526, loss: 7.7526 |
| 2025-06-01 11:03:22,910 - pyskl - INFO - Epoch [19][500/1027] lr: 2.407e-02, eta: 14:57:58, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3113, top5_acc: 0.6369, loss_cls: 7.7372, loss: 7.7372 |
| 2025-06-01 11:04:01,307 - pyskl - INFO - Epoch [19][600/1027] lr: 2.407e-02, eta: 14:57:08, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3081, top5_acc: 0.6150, loss_cls: 7.9154, loss: 7.9154 |
| 2025-06-01 11:04:39,709 - pyskl - INFO - Epoch [19][700/1027] lr: 2.406e-02, eta: 14:56:17, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3050, top5_acc: 0.6119, loss_cls: 7.8923, loss: 7.8923 |
| 2025-06-01 11:05:17,824 - pyskl - INFO - Epoch [19][800/1027] lr: 2.405e-02, eta: 14:55:25, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3162, top5_acc: 0.6281, loss_cls: 7.7043, loss: 7.7043 |
| 2025-06-01 11:05:55,859 - pyskl - INFO - Epoch [19][900/1027] lr: 2.404e-02, eta: 14:54:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3156, top5_acc: 0.6275, loss_cls: 7.8125, loss: 7.8125 |
| 2025-06-01 11:06:34,020 - pyskl - INFO - Epoch [19][1000/1027] lr: 2.403e-02, eta: 14:53:41, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3194, top5_acc: 0.6212, loss_cls: 7.8848, loss: 7.8848 |
| 2025-06-01 11:06:45,309 - pyskl - INFO - Saving checkpoint at 19 epochs |
| 2025-06-01 11:07:22,577 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 11:07:22,648 - pyskl - INFO - |
| top1_acc 0.3684 |
| top5_acc 0.7228 |
| 2025-06-01 11:07:22,648 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 11:07:22,657 - pyskl - INFO - |
| mean_acc 0.3702 |
| 2025-06-01 11:07:22,659 - pyskl - INFO - Epoch(val) [19][413] top1_acc: 0.3684, top5_acc: 0.7228, mean_class_accuracy: 0.3702 |
| 2025-06-01 11:08:27,510 - pyskl - INFO - Epoch [20][100/1027] lr: 2.401e-02, eta: 14:54:28, time: 0.648, data_time: 0.262, memory: 7959, top1_acc: 0.3225, top5_acc: 0.6550, loss_cls: 7.6675, loss: 7.6675 |
| 2025-06-01 11:09:05,732 - pyskl - INFO - Epoch [20][200/1027] lr: 2.400e-02, eta: 14:53:37, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3194, top5_acc: 0.6412, loss_cls: 7.7543, loss: 7.7543 |
| 2025-06-01 11:09:43,466 - pyskl - INFO - Epoch [20][300/1027] lr: 2.399e-02, eta: 14:52:42, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3331, top5_acc: 0.6419, loss_cls: 7.7278, loss: 7.7278 |
| 2025-06-01 11:10:21,557 - pyskl - INFO - Epoch [20][400/1027] lr: 2.398e-02, eta: 14:51:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3306, top5_acc: 0.6581, loss_cls: 7.5755, loss: 7.5755 |
| 2025-06-01 11:11:00,476 - pyskl - INFO - Epoch [20][500/1027] lr: 2.397e-02, eta: 14:51:03, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.3269, top5_acc: 0.6519, loss_cls: 7.6889, loss: 7.6889 |
| 2025-06-01 11:11:38,583 - pyskl - INFO - Epoch [20][600/1027] lr: 2.396e-02, eta: 14:50:12, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3212, top5_acc: 0.6388, loss_cls: 7.7632, loss: 7.7632 |
| 2025-06-01 11:12:16,539 - pyskl - INFO - Epoch [20][700/1027] lr: 2.395e-02, eta: 14:49:19, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3094, top5_acc: 0.6331, loss_cls: 7.7829, loss: 7.7829 |
| 2025-06-01 11:12:54,901 - pyskl - INFO - Epoch [20][800/1027] lr: 2.394e-02, eta: 14:48:29, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3350, top5_acc: 0.6419, loss_cls: 7.8068, loss: 7.8068 |
| 2025-06-01 11:13:34,013 - pyskl - INFO - Epoch [20][900/1027] lr: 2.393e-02, eta: 14:47:44, time: 0.391, data_time: 0.000, memory: 7959, top1_acc: 0.3275, top5_acc: 0.6288, loss_cls: 7.7617, loss: 7.7617 |
| 2025-06-01 11:14:11,896 - pyskl - INFO - Epoch [20][1000/1027] lr: 2.392e-02, eta: 14:46:52, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.2950, top5_acc: 0.6031, loss_cls: 7.9115, loss: 7.9115 |
| 2025-06-01 11:14:22,908 - pyskl - INFO - Saving checkpoint at 20 epochs |
| 2025-06-01 11:33:10,388 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 11:33:10,460 - pyskl - INFO - |
| top1_acc 0.3616 |
| top5_acc 0.7210 |
| 2025-06-01 11:33:10,460 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 11:33:10,469 - pyskl - INFO - |
| mean_acc 0.3612 |
| 2025-06-01 11:33:10,470 - pyskl - INFO - Epoch(val) [20][413] top1_acc: 0.3616, top5_acc: 0.7210, mean_class_accuracy: 0.3612 |
| 2025-06-01 11:34:14,041 - pyskl - INFO - Epoch [21][100/1027] lr: 2.391e-02, eta: 14:47:25, time: 0.636, data_time: 0.252, memory: 7959, top1_acc: 0.3269, top5_acc: 0.6506, loss_cls: 7.6801, loss: 7.6801 |
| 2025-06-01 11:34:52,290 - pyskl - INFO - Epoch [21][200/1027] lr: 2.390e-02, eta: 14:46:34, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3331, top5_acc: 0.6319, loss_cls: 7.7733, loss: 7.7733 |
| 2025-06-01 11:35:30,219 - pyskl - INFO - Epoch [21][300/1027] lr: 2.389e-02, eta: 14:45:42, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3181, top5_acc: 0.6212, loss_cls: 7.8452, loss: 7.8452 |
| 2025-06-01 11:36:08,003 - pyskl - INFO - Epoch [21][400/1027] lr: 2.388e-02, eta: 14:44:48, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3350, top5_acc: 0.6613, loss_cls: 7.5910, loss: 7.5910 |
| 2025-06-01 11:36:46,193 - pyskl - INFO - Epoch [21][500/1027] lr: 2.387e-02, eta: 14:43:58, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3125, top5_acc: 0.6381, loss_cls: 7.7940, loss: 7.7940 |
| 2025-06-01 11:37:25,165 - pyskl - INFO - Epoch [21][600/1027] lr: 2.386e-02, eta: 14:43:12, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.3181, top5_acc: 0.6375, loss_cls: 7.7911, loss: 7.7911 |
| 2025-06-01 11:38:03,298 - pyskl - INFO - Epoch [21][700/1027] lr: 2.385e-02, eta: 14:42:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3362, top5_acc: 0.6556, loss_cls: 7.6226, loss: 7.6226 |
| 2025-06-01 11:38:41,343 - pyskl - INFO - Epoch [21][800/1027] lr: 2.383e-02, eta: 14:41:30, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3438, top5_acc: 0.6331, loss_cls: 7.6716, loss: 7.6716 |
| 2025-06-01 11:39:19,177 - pyskl - INFO - Epoch [21][900/1027] lr: 2.382e-02, eta: 14:40:38, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3463, top5_acc: 0.6525, loss_cls: 7.6717, loss: 7.6717 |
| 2025-06-01 11:39:57,039 - pyskl - INFO - Epoch [21][1000/1027] lr: 2.381e-02, eta: 14:39:46, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3325, top5_acc: 0.6312, loss_cls: 7.6534, loss: 7.6534 |
| 2025-06-01 11:40:07,946 - pyskl - INFO - Saving checkpoint at 21 epochs |
| 2025-06-01 11:40:44,424 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 11:40:44,494 - pyskl - INFO - |
| top1_acc 0.3798 |
| top5_acc 0.7306 |
| 2025-06-01 11:40:44,494 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 11:40:44,501 - pyskl - INFO - |
| mean_acc 0.3808 |
| 2025-06-01 11:40:44,567 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_18.pth was removed |
| 2025-06-01 11:40:46,138 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. |
| 2025-06-01 11:40:46,140 - pyskl - INFO - Best top1_acc is 0.3798 at 21 epoch. |
| 2025-06-01 11:40:46,142 - pyskl - INFO - Epoch(val) [21][413] top1_acc: 0.3798, top5_acc: 0.7306, mean_class_accuracy: 0.3808 |
| 2025-06-01 11:41:49,610 - pyskl - INFO - Epoch [22][100/1027] lr: 2.380e-02, eta: 14:40:14, time: 0.635, data_time: 0.251, memory: 7959, top1_acc: 0.3337, top5_acc: 0.6506, loss_cls: 7.6729, loss: 7.6729 |
| 2025-06-01 11:42:27,691 - pyskl - INFO - Epoch [22][200/1027] lr: 2.379e-02, eta: 14:39:23, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3481, top5_acc: 0.6438, loss_cls: 7.6563, loss: 7.6563 |
| 2025-06-01 11:43:05,573 - pyskl - INFO - Epoch [22][300/1027] lr: 2.378e-02, eta: 14:38:31, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3237, top5_acc: 0.6344, loss_cls: 7.7396, loss: 7.7396 |
| 2025-06-01 11:43:43,548 - pyskl - INFO - Epoch [22][400/1027] lr: 2.377e-02, eta: 14:37:40, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3644, top5_acc: 0.6687, loss_cls: 7.5815, loss: 7.5815 |
| 2025-06-01 11:44:21,569 - pyskl - INFO - Epoch [22][500/1027] lr: 2.376e-02, eta: 14:36:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3000, top5_acc: 0.6269, loss_cls: 7.8287, loss: 7.8287 |
| 2025-06-01 11:44:59,857 - pyskl - INFO - Epoch [22][600/1027] lr: 2.374e-02, eta: 14:36:00, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3294, top5_acc: 0.6300, loss_cls: 7.7998, loss: 7.7998 |
| 2025-06-01 11:45:38,688 - pyskl - INFO - Epoch [22][700/1027] lr: 2.373e-02, eta: 14:35:14, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.3369, top5_acc: 0.6488, loss_cls: 7.7254, loss: 7.7254 |
| 2025-06-01 11:46:16,834 - pyskl - INFO - Epoch [22][800/1027] lr: 2.372e-02, eta: 14:34:24, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3419, top5_acc: 0.6419, loss_cls: 7.6118, loss: 7.6118 |
| 2025-06-01 11:46:55,260 - pyskl - INFO - Epoch [22][900/1027] lr: 2.371e-02, eta: 14:33:36, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3319, top5_acc: 0.6663, loss_cls: 7.5919, loss: 7.5919 |
| 2025-06-01 11:47:33,106 - pyskl - INFO - Epoch [22][1000/1027] lr: 2.370e-02, eta: 14:32:44, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3519, top5_acc: 0.6450, loss_cls: 7.5860, loss: 7.5860 |
| 2025-06-01 11:47:44,304 - pyskl - INFO - Saving checkpoint at 22 epochs |
| 2025-06-01 11:48:20,714 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 11:48:20,786 - pyskl - INFO - |
| top1_acc 0.3688 |
| top5_acc 0.7227 |
| 2025-06-01 11:48:20,786 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 11:48:20,793 - pyskl - INFO - |
| mean_acc 0.3695 |
| 2025-06-01 11:48:20,795 - pyskl - INFO - Epoch(val) [22][413] top1_acc: 0.3688, top5_acc: 0.7227, mean_class_accuracy: 0.3695 |
| 2025-06-01 11:49:24,570 - pyskl - INFO - Epoch [23][100/1027] lr: 2.369e-02, eta: 14:33:10, time: 0.638, data_time: 0.254, memory: 7959, top1_acc: 0.3513, top5_acc: 0.6700, loss_cls: 7.5202, loss: 7.5202 |
| 2025-06-01 11:50:02,617 - pyskl - INFO - Epoch [23][200/1027] lr: 2.367e-02, eta: 14:32:20, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3425, top5_acc: 0.6625, loss_cls: 7.4901, loss: 7.4901 |
| 2025-06-01 11:50:40,876 - pyskl - INFO - Epoch [23][300/1027] lr: 2.366e-02, eta: 14:31:30, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3456, top5_acc: 0.6656, loss_cls: 7.5696, loss: 7.5696 |
| 2025-06-01 11:51:18,764 - pyskl - INFO - Epoch [23][400/1027] lr: 2.365e-02, eta: 14:30:39, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3500, top5_acc: 0.6637, loss_cls: 7.5694, loss: 7.5694 |
| 2025-06-01 11:51:56,775 - pyskl - INFO - Epoch [23][500/1027] lr: 2.364e-02, eta: 14:29:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3488, top5_acc: 0.6450, loss_cls: 7.6235, loss: 7.6235 |
| 2025-06-01 11:52:35,520 - pyskl - INFO - Epoch [23][600/1027] lr: 2.363e-02, eta: 14:29:03, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.3381, top5_acc: 0.6450, loss_cls: 7.6815, loss: 7.6815 |
| 2025-06-01 11:53:13,537 - pyskl - INFO - Epoch [23][700/1027] lr: 2.362e-02, eta: 14:28:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3362, top5_acc: 0.6419, loss_cls: 7.7776, loss: 7.7776 |
| 2025-06-01 11:53:51,985 - pyskl - INFO - Epoch [23][800/1027] lr: 2.360e-02, eta: 14:27:25, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3331, top5_acc: 0.6525, loss_cls: 7.6525, loss: 7.6525 |
| 2025-06-01 11:54:31,264 - pyskl - INFO - Epoch [23][900/1027] lr: 2.359e-02, eta: 14:26:42, time: 0.393, data_time: 0.000, memory: 7959, top1_acc: 0.3331, top5_acc: 0.6512, loss_cls: 7.6550, loss: 7.6550 |
| 2025-06-01 11:55:08,992 - pyskl - INFO - Epoch [23][1000/1027] lr: 2.358e-02, eta: 14:25:51, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3344, top5_acc: 0.6538, loss_cls: 7.6878, loss: 7.6878 |
| 2025-06-01 11:55:19,963 - pyskl - INFO - Saving checkpoint at 23 epochs |
| 2025-06-01 11:55:57,064 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 11:55:57,134 - pyskl - INFO - |
| top1_acc 0.3791 |
| top5_acc 0.7330 |
| 2025-06-01 11:55:57,134 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 11:55:57,142 - pyskl - INFO - |
| mean_acc 0.3791 |
| 2025-06-01 11:55:57,143 - pyskl - INFO - Epoch(val) [23][413] top1_acc: 0.3791, top5_acc: 0.7330, mean_class_accuracy: 0.3791 |
| 2025-06-01 11:57:00,206 - pyskl - INFO - Epoch [24][100/1027] lr: 2.357e-02, eta: 14:26:09, time: 0.631, data_time: 0.256, memory: 7959, top1_acc: 0.3494, top5_acc: 0.6763, loss_cls: 7.4826, loss: 7.4826 |
| 2025-06-01 11:57:38,196 - pyskl - INFO - Epoch [24][200/1027] lr: 2.355e-02, eta: 14:25:18, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3225, top5_acc: 0.6344, loss_cls: 7.7320, loss: 7.7320 |
| 2025-06-01 11:58:16,365 - pyskl - INFO - Epoch [24][300/1027] lr: 2.354e-02, eta: 14:24:29, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3362, top5_acc: 0.6631, loss_cls: 7.5443, loss: 7.5443 |
| 2025-06-01 11:58:54,732 - pyskl - INFO - Epoch [24][400/1027] lr: 2.353e-02, eta: 14:23:41, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3394, top5_acc: 0.6550, loss_cls: 7.6593, loss: 7.6593 |
| 2025-06-01 11:59:32,723 - pyskl - INFO - Epoch [24][500/1027] lr: 2.352e-02, eta: 14:22:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3619, top5_acc: 0.6550, loss_cls: 7.5647, loss: 7.5647 |
| 2025-06-01 12:00:10,970 - pyskl - INFO - Epoch [24][600/1027] lr: 2.351e-02, eta: 14:22:03, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3513, top5_acc: 0.6650, loss_cls: 7.5669, loss: 7.5669 |
| 2025-06-01 12:00:48,986 - pyskl - INFO - Epoch [24][700/1027] lr: 2.349e-02, eta: 14:21:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3638, top5_acc: 0.6600, loss_cls: 7.5794, loss: 7.5794 |
| 2025-06-01 12:01:26,894 - pyskl - INFO - Epoch [24][800/1027] lr: 2.348e-02, eta: 14:20:23, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3425, top5_acc: 0.6512, loss_cls: 7.5934, loss: 7.5934 |
| 2025-06-01 12:02:04,651 - pyskl - INFO - Epoch [24][900/1027] lr: 2.347e-02, eta: 14:19:33, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3331, top5_acc: 0.6538, loss_cls: 7.6408, loss: 7.6408 |
| 2025-06-01 12:02:42,973 - pyskl - INFO - Epoch [24][1000/1027] lr: 2.346e-02, eta: 14:18:45, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3531, top5_acc: 0.6538, loss_cls: 7.5937, loss: 7.5937 |
| 2025-06-01 12:02:54,010 - pyskl - INFO - Saving checkpoint at 24 epochs |
| 2025-06-01 12:03:30,208 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 12:03:30,277 - pyskl - INFO - |
| top1_acc 0.3816 |
| top5_acc 0.7351 |
| 2025-06-01 12:03:30,277 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 12:03:30,284 - pyskl - INFO - |
| mean_acc 0.3826 |
| 2025-06-01 12:03:30,339 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_21.pth was removed |
| 2025-06-01 12:03:31,823 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. |
| 2025-06-01 12:03:31,825 - pyskl - INFO - Best top1_acc is 0.3816 at 24 epoch. |
| 2025-06-01 12:03:31,827 - pyskl - INFO - Epoch(val) [24][413] top1_acc: 0.3816, top5_acc: 0.7351, mean_class_accuracy: 0.3826 |
| 2025-06-01 12:04:34,205 - pyskl - INFO - Epoch [25][100/1027] lr: 2.344e-02, eta: 14:18:56, time: 0.624, data_time: 0.245, memory: 7959, top1_acc: 0.3594, top5_acc: 0.6775, loss_cls: 7.4133, loss: 7.4133 |
| 2025-06-01 12:05:12,210 - pyskl - INFO - Epoch [25][200/1027] lr: 2.343e-02, eta: 14:18:07, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3656, top5_acc: 0.6800, loss_cls: 7.4341, loss: 7.4341 |
| 2025-06-01 12:05:50,039 - pyskl - INFO - Epoch [25][300/1027] lr: 2.342e-02, eta: 14:17:16, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3744, top5_acc: 0.6706, loss_cls: 7.5610, loss: 7.5610 |
| 2025-06-01 12:06:27,809 - pyskl - INFO - Epoch [25][400/1027] lr: 2.340e-02, eta: 14:16:26, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3488, top5_acc: 0.6569, loss_cls: 7.4762, loss: 7.4762 |
| 2025-06-01 12:07:05,713 - pyskl - INFO - Epoch [25][500/1027] lr: 2.339e-02, eta: 14:15:36, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3700, top5_acc: 0.6731, loss_cls: 7.4715, loss: 7.4715 |
| 2025-06-01 12:07:43,206 - pyskl - INFO - Epoch [25][600/1027] lr: 2.338e-02, eta: 14:14:44, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3619, top5_acc: 0.6781, loss_cls: 7.4321, loss: 7.4321 |
| 2025-06-01 12:08:20,881 - pyskl - INFO - Epoch [25][700/1027] lr: 2.337e-02, eta: 14:13:54, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3581, top5_acc: 0.6594, loss_cls: 7.5897, loss: 7.5897 |
| 2025-06-01 12:08:58,641 - pyskl - INFO - Epoch [25][800/1027] lr: 2.335e-02, eta: 14:13:04, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3381, top5_acc: 0.6294, loss_cls: 7.7945, loss: 7.7945 |
| 2025-06-01 12:09:36,410 - pyskl - INFO - Epoch [25][900/1027] lr: 2.334e-02, eta: 14:12:14, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3519, top5_acc: 0.6631, loss_cls: 7.6224, loss: 7.6224 |
| 2025-06-01 12:10:13,764 - pyskl - INFO - Epoch [25][1000/1027] lr: 2.333e-02, eta: 14:11:22, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3475, top5_acc: 0.6581, loss_cls: 7.4675, loss: 7.4675 |
| 2025-06-01 12:10:24,818 - pyskl - INFO - Saving checkpoint at 25 epochs |
| 2025-06-01 12:31:05,006 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 12:31:05,074 - pyskl - INFO - |
| top1_acc 0.4134 |
| top5_acc 0.7560 |
| 2025-06-01 12:31:05,075 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 12:31:05,081 - pyskl - INFO - |
| mean_acc 0.4146 |
| 2025-06-01 12:31:05,137 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_24.pth was removed |
| 2025-06-01 12:31:06,607 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. |
| 2025-06-01 12:31:06,609 - pyskl - INFO - Best top1_acc is 0.4134 at 25 epoch. |
| 2025-06-01 12:31:06,611 - pyskl - INFO - Epoch(val) [25][413] top1_acc: 0.4134, top5_acc: 0.7560, mean_class_accuracy: 0.4146 |
| 2025-06-01 12:32:08,866 - pyskl - INFO - Epoch [26][100/1027] lr: 2.331e-02, eta: 14:11:29, time: 0.623, data_time: 0.243, memory: 7959, top1_acc: 0.3919, top5_acc: 0.6850, loss_cls: 7.2730, loss: 7.2730 |
| 2025-06-01 12:32:46,747 - pyskl - INFO - Epoch [26][200/1027] lr: 2.330e-02, eta: 14:10:40, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3619, top5_acc: 0.6700, loss_cls: 7.5913, loss: 7.5913 |
| 2025-06-01 12:33:24,662 - pyskl - INFO - Epoch [26][300/1027] lr: 2.329e-02, eta: 14:09:51, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3719, top5_acc: 0.6650, loss_cls: 7.4530, loss: 7.4530 |
| 2025-06-01 12:34:03,268 - pyskl - INFO - Epoch [26][400/1027] lr: 2.327e-02, eta: 14:09:05, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.3419, top5_acc: 0.6419, loss_cls: 7.6589, loss: 7.6589 |
| 2025-06-01 12:34:41,433 - pyskl - INFO - Epoch [26][500/1027] lr: 2.326e-02, eta: 14:08:17, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3556, top5_acc: 0.6637, loss_cls: 7.5379, loss: 7.5379 |
| 2025-06-01 12:35:20,234 - pyskl - INFO - Epoch [26][600/1027] lr: 2.325e-02, eta: 14:07:32, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.3731, top5_acc: 0.6813, loss_cls: 7.4765, loss: 7.4765 |
| 2025-06-01 12:35:58,185 - pyskl - INFO - Epoch [26][700/1027] lr: 2.324e-02, eta: 14:06:44, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3538, top5_acc: 0.6775, loss_cls: 7.4967, loss: 7.4967 |
| 2025-06-01 12:36:36,177 - pyskl - INFO - Epoch [26][800/1027] lr: 2.322e-02, eta: 14:05:55, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3669, top5_acc: 0.6713, loss_cls: 7.5740, loss: 7.5740 |
| 2025-06-01 12:37:14,168 - pyskl - INFO - Epoch [26][900/1027] lr: 2.321e-02, eta: 14:05:07, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3631, top5_acc: 0.6675, loss_cls: 7.4965, loss: 7.4965 |
| 2025-06-01 12:37:52,132 - pyskl - INFO - Epoch [26][1000/1027] lr: 2.320e-02, eta: 14:04:18, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3706, top5_acc: 0.6606, loss_cls: 7.5884, loss: 7.5884 |
| 2025-06-01 12:38:03,295 - pyskl - INFO - Saving checkpoint at 26 epochs |
| 2025-06-01 12:38:39,928 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 12:38:39,999 - pyskl - INFO - |
| top1_acc 0.4028 |
| top5_acc 0.7404 |
| 2025-06-01 12:38:39,999 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 12:38:40,010 - pyskl - INFO - |
| mean_acc 0.4005 |
| 2025-06-01 12:38:40,012 - pyskl - INFO - Epoch(val) [26][413] top1_acc: 0.4028, top5_acc: 0.7404, mean_class_accuracy: 0.4005 |
| 2025-06-01 12:39:44,638 - pyskl - INFO - Epoch [27][100/1027] lr: 2.318e-02, eta: 14:04:35, time: 0.646, data_time: 0.263, memory: 7959, top1_acc: 0.3800, top5_acc: 0.6881, loss_cls: 7.3209, loss: 7.3209 |
| 2025-06-01 12:40:22,616 - pyskl - INFO - Epoch [27][200/1027] lr: 2.317e-02, eta: 14:03:46, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3831, top5_acc: 0.6750, loss_cls: 7.3543, loss: 7.3543 |
| 2025-06-01 12:41:01,096 - pyskl - INFO - Epoch [27][300/1027] lr: 2.315e-02, eta: 14:03:00, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.3694, top5_acc: 0.6806, loss_cls: 7.4148, loss: 7.4148 |
| 2025-06-01 12:41:39,568 - pyskl - INFO - Epoch [27][400/1027] lr: 2.314e-02, eta: 14:02:14, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.3550, top5_acc: 0.6587, loss_cls: 7.5575, loss: 7.5575 |
| 2025-06-01 12:42:18,023 - pyskl - INFO - Epoch [27][500/1027] lr: 2.313e-02, eta: 14:01:28, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.3650, top5_acc: 0.6794, loss_cls: 7.4334, loss: 7.4334 |
| 2025-06-01 12:42:56,320 - pyskl - INFO - Epoch [27][600/1027] lr: 2.311e-02, eta: 14:00:41, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3450, top5_acc: 0.6587, loss_cls: 7.5862, loss: 7.5862 |
| 2025-06-01 12:43:35,795 - pyskl - INFO - Epoch [27][700/1027] lr: 2.310e-02, eta: 14:00:00, time: 0.395, data_time: 0.000, memory: 7959, top1_acc: 0.3644, top5_acc: 0.6794, loss_cls: 7.3662, loss: 7.3662 |
| 2025-06-01 12:44:15,318 - pyskl - INFO - Epoch [27][800/1027] lr: 2.309e-02, eta: 13:59:19, time: 0.395, data_time: 0.000, memory: 7959, top1_acc: 0.3544, top5_acc: 0.6581, loss_cls: 7.4853, loss: 7.4853 |
| 2025-06-01 12:44:53,210 - pyskl - INFO - Epoch [27][900/1027] lr: 2.307e-02, eta: 13:58:30, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3475, top5_acc: 0.6488, loss_cls: 7.6706, loss: 7.6706 |
| 2025-06-01 12:45:30,974 - pyskl - INFO - Epoch [27][1000/1027] lr: 2.306e-02, eta: 13:57:41, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3656, top5_acc: 0.6731, loss_cls: 7.4676, loss: 7.4676 |
| 2025-06-01 12:45:41,926 - pyskl - INFO - Saving checkpoint at 27 epochs |
| 2025-06-01 12:46:18,765 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 12:46:18,835 - pyskl - INFO - |
| top1_acc 0.3923 |
| top5_acc 0.7427 |
| 2025-06-01 12:46:18,835 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 12:46:18,842 - pyskl - INFO - |
| mean_acc 0.3935 |
| 2025-06-01 12:46:18,844 - pyskl - INFO - Epoch(val) [27][413] top1_acc: 0.3923, top5_acc: 0.7427, mean_class_accuracy: 0.3935 |
| 2025-06-01 12:47:22,679 - pyskl - INFO - Epoch [28][100/1027] lr: 2.304e-02, eta: 13:57:51, time: 0.638, data_time: 0.255, memory: 7959, top1_acc: 0.3675, top5_acc: 0.6837, loss_cls: 7.4302, loss: 7.4302 |
| 2025-06-01 12:48:00,476 - pyskl - INFO - Epoch [28][200/1027] lr: 2.303e-02, eta: 13:57:02, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3519, top5_acc: 0.6550, loss_cls: 7.4110, loss: 7.4110 |
| 2025-06-01 12:48:38,623 - pyskl - INFO - Epoch [28][300/1027] lr: 2.301e-02, eta: 13:56:15, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3675, top5_acc: 0.6763, loss_cls: 7.5021, loss: 7.5021 |
| 2025-06-01 12:49:16,907 - pyskl - INFO - Epoch [28][400/1027] lr: 2.300e-02, eta: 13:55:28, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3844, top5_acc: 0.6694, loss_cls: 7.4308, loss: 7.4308 |
| 2025-06-01 12:49:56,387 - pyskl - INFO - Epoch [28][500/1027] lr: 2.299e-02, eta: 13:54:47, time: 0.395, data_time: 0.000, memory: 7959, top1_acc: 0.3669, top5_acc: 0.6869, loss_cls: 7.3506, loss: 7.3506 |
| 2025-06-01 12:50:34,663 - pyskl - INFO - Epoch [28][600/1027] lr: 2.297e-02, eta: 13:54:00, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3756, top5_acc: 0.6813, loss_cls: 7.3950, loss: 7.3950 |
| 2025-06-01 12:51:12,554 - pyskl - INFO - Epoch [28][700/1027] lr: 2.296e-02, eta: 13:53:12, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3619, top5_acc: 0.6650, loss_cls: 7.4443, loss: 7.4443 |
| 2025-06-01 12:51:50,520 - pyskl - INFO - Epoch [28][800/1027] lr: 2.294e-02, eta: 13:52:24, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3681, top5_acc: 0.6850, loss_cls: 7.3898, loss: 7.3898 |
| 2025-06-01 12:52:28,553 - pyskl - INFO - Epoch [28][900/1027] lr: 2.293e-02, eta: 13:51:37, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3644, top5_acc: 0.6625, loss_cls: 7.4960, loss: 7.4960 |
| 2025-06-01 12:53:06,547 - pyskl - INFO - Epoch [28][1000/1027] lr: 2.292e-02, eta: 13:50:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3606, top5_acc: 0.6625, loss_cls: 7.3690, loss: 7.3690 |
| 2025-06-01 12:53:17,642 - pyskl - INFO - Saving checkpoint at 28 epochs |
| 2025-06-01 12:53:54,826 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 12:53:54,897 - pyskl - INFO - |
| top1_acc 0.3893 |
| top5_acc 0.7410 |
| 2025-06-01 12:53:54,897 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 12:53:54,905 - pyskl - INFO - |
| mean_acc 0.3874 |
| 2025-06-01 12:53:54,906 - pyskl - INFO - Epoch(val) [28][413] top1_acc: 0.3893, top5_acc: 0.7410, mean_class_accuracy: 0.3874 |
| 2025-06-01 12:54:58,500 - pyskl - INFO - Epoch [29][100/1027] lr: 2.290e-02, eta: 13:50:55, time: 0.636, data_time: 0.256, memory: 7959, top1_acc: 0.3794, top5_acc: 0.6925, loss_cls: 7.4473, loss: 7.4473 |
| 2025-06-01 12:55:38,345 - pyskl - INFO - Epoch [29][200/1027] lr: 2.288e-02, eta: 13:50:15, time: 0.398, data_time: 0.000, memory: 7959, top1_acc: 0.3900, top5_acc: 0.6994, loss_cls: 7.3180, loss: 7.3180 |
| 2025-06-01 12:56:16,794 - pyskl - INFO - Epoch [29][300/1027] lr: 2.287e-02, eta: 13:49:30, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3900, top5_acc: 0.6850, loss_cls: 7.3828, loss: 7.3828 |
| 2025-06-01 12:56:55,143 - pyskl - INFO - Epoch [29][400/1027] lr: 2.285e-02, eta: 13:48:44, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3738, top5_acc: 0.6981, loss_cls: 7.3240, loss: 7.3240 |
| 2025-06-01 12:57:33,488 - pyskl - INFO - Epoch [29][500/1027] lr: 2.284e-02, eta: 13:47:58, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3613, top5_acc: 0.6650, loss_cls: 7.4844, loss: 7.4844 |
| 2025-06-01 12:58:12,277 - pyskl - INFO - Epoch [29][600/1027] lr: 2.283e-02, eta: 13:47:13, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.3588, top5_acc: 0.6900, loss_cls: 7.5031, loss: 7.5031 |
| 2025-06-01 12:58:50,576 - pyskl - INFO - Epoch [29][700/1027] lr: 2.281e-02, eta: 13:46:27, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3525, top5_acc: 0.6625, loss_cls: 7.4538, loss: 7.4538 |
| 2025-06-01 12:59:28,968 - pyskl - INFO - Epoch [29][800/1027] lr: 2.280e-02, eta: 13:45:41, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3738, top5_acc: 0.6781, loss_cls: 7.3693, loss: 7.3693 |
| 2025-06-01 13:00:07,697 - pyskl - INFO - Epoch [29][900/1027] lr: 2.278e-02, eta: 13:44:57, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.3762, top5_acc: 0.6769, loss_cls: 7.4384, loss: 7.4384 |
| 2025-06-01 13:00:45,944 - pyskl - INFO - Epoch [29][1000/1027] lr: 2.277e-02, eta: 13:44:11, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3713, top5_acc: 0.6863, loss_cls: 7.3749, loss: 7.3749 |
| 2025-06-01 13:00:57,034 - pyskl - INFO - Saving checkpoint at 29 epochs |
| 2025-06-01 13:01:35,568 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 13:01:35,652 - pyskl - INFO - |
| top1_acc 0.3958 |
| top5_acc 0.7565 |
| 2025-06-01 13:01:35,653 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 13:01:35,664 - pyskl - INFO - |
| mean_acc 0.3986 |
| 2025-06-01 13:01:35,667 - pyskl - INFO - Epoch(val) [29][413] top1_acc: 0.3958, top5_acc: 0.7565, mean_class_accuracy: 0.3986 |
| 2025-06-01 13:02:41,783 - pyskl - INFO - Epoch [30][100/1027] lr: 2.275e-02, eta: 13:44:25, time: 0.661, data_time: 0.278, memory: 7959, top1_acc: 0.3650, top5_acc: 0.6894, loss_cls: 7.4300, loss: 7.4300 |
| 2025-06-01 13:03:20,045 - pyskl - INFO - Epoch [30][200/1027] lr: 2.274e-02, eta: 13:43:39, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3756, top5_acc: 0.6806, loss_cls: 7.2606, loss: 7.2606 |
| 2025-06-01 13:03:58,728 - pyskl - INFO - Epoch [30][300/1027] lr: 2.272e-02, eta: 13:42:54, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.3831, top5_acc: 0.6987, loss_cls: 7.2498, loss: 7.2498 |
| 2025-06-01 13:04:37,381 - pyskl - INFO - Epoch [30][400/1027] lr: 2.271e-02, eta: 13:42:10, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.3850, top5_acc: 0.6794, loss_cls: 7.3609, loss: 7.3609 |
| 2025-06-01 13:05:15,904 - pyskl - INFO - Epoch [30][500/1027] lr: 2.269e-02, eta: 13:41:24, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.3669, top5_acc: 0.6631, loss_cls: 7.4306, loss: 7.4306 |
| 2025-06-01 13:05:54,032 - pyskl - INFO - Epoch [30][600/1027] lr: 2.268e-02, eta: 13:40:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4050, top5_acc: 0.7031, loss_cls: 7.2558, loss: 7.2558 |
| 2025-06-01 13:06:32,061 - pyskl - INFO - Epoch [30][700/1027] lr: 2.266e-02, eta: 13:39:51, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3481, top5_acc: 0.6587, loss_cls: 7.5139, loss: 7.5139 |
| 2025-06-01 13:07:10,239 - pyskl - INFO - Epoch [30][800/1027] lr: 2.265e-02, eta: 13:39:04, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3531, top5_acc: 0.6606, loss_cls: 7.4600, loss: 7.4600 |
| 2025-06-01 13:07:48,087 - pyskl - INFO - Epoch [30][900/1027] lr: 2.263e-02, eta: 13:38:17, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3800, top5_acc: 0.6725, loss_cls: 7.3386, loss: 7.3386 |
| 2025-06-01 13:08:25,771 - pyskl - INFO - Epoch [30][1000/1027] lr: 2.262e-02, eta: 13:37:28, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3825, top5_acc: 0.6794, loss_cls: 7.4157, loss: 7.4157 |
| 2025-06-01 13:08:36,911 - pyskl - INFO - Saving checkpoint at 30 epochs |
| 2025-06-01 13:27:27,011 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 13:27:27,080 - pyskl - INFO - |
| top1_acc 0.4232 |
| top5_acc 0.7598 |
| 2025-06-01 13:27:27,081 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 13:27:27,089 - pyskl - INFO - |
| mean_acc 0.4253 |
| 2025-06-01 13:27:27,155 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_25.pth was removed |
| 2025-06-01 13:27:28,760 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. |
| 2025-06-01 13:27:28,762 - pyskl - INFO - Best top1_acc is 0.4232 at 30 epoch. |
| 2025-06-01 13:27:28,765 - pyskl - INFO - Epoch(val) [30][413] top1_acc: 0.4232, top5_acc: 0.7598, mean_class_accuracy: 0.4253 |
| 2025-06-01 13:28:31,988 - pyskl - INFO - Epoch [31][100/1027] lr: 2.260e-02, eta: 13:37:28, time: 0.632, data_time: 0.258, memory: 7959, top1_acc: 0.3825, top5_acc: 0.7044, loss_cls: 7.2060, loss: 7.2060 |
| 2025-06-01 13:29:09,409 - pyskl - INFO - Epoch [31][200/1027] lr: 2.258e-02, eta: 13:36:39, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4006, top5_acc: 0.7131, loss_cls: 7.2129, loss: 7.2129 |
| 2025-06-01 13:29:47,136 - pyskl - INFO - Epoch [31][300/1027] lr: 2.257e-02, eta: 13:35:51, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3837, top5_acc: 0.6850, loss_cls: 7.3002, loss: 7.3002 |
| 2025-06-01 13:30:24,953 - pyskl - INFO - Epoch [31][400/1027] lr: 2.255e-02, eta: 13:35:03, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3969, top5_acc: 0.6969, loss_cls: 7.3432, loss: 7.3432 |
| 2025-06-01 13:31:02,877 - pyskl - INFO - Epoch [31][500/1027] lr: 2.254e-02, eta: 13:34:16, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3588, top5_acc: 0.6894, loss_cls: 7.4344, loss: 7.4344 |
| 2025-06-01 13:31:40,758 - pyskl - INFO - Epoch [31][600/1027] lr: 2.252e-02, eta: 13:33:29, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3925, top5_acc: 0.6856, loss_cls: 7.3456, loss: 7.3456 |
| 2025-06-01 13:32:18,838 - pyskl - INFO - Epoch [31][700/1027] lr: 2.251e-02, eta: 13:32:42, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3956, top5_acc: 0.7050, loss_cls: 7.2812, loss: 7.2812 |
| 2025-06-01 13:32:57,047 - pyskl - INFO - Epoch [31][800/1027] lr: 2.249e-02, eta: 13:31:56, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3862, top5_acc: 0.6913, loss_cls: 7.2541, loss: 7.2541 |
| 2025-06-01 13:33:35,464 - pyskl - INFO - Epoch [31][900/1027] lr: 2.248e-02, eta: 13:31:11, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3944, top5_acc: 0.6731, loss_cls: 7.4841, loss: 7.4841 |
| 2025-06-01 13:34:13,725 - pyskl - INFO - Epoch [31][1000/1027] lr: 2.246e-02, eta: 13:30:25, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3575, top5_acc: 0.6675, loss_cls: 7.4823, loss: 7.4823 |
| 2025-06-01 13:34:24,808 - pyskl - INFO - Saving checkpoint at 31 epochs |
| 2025-06-01 13:35:01,687 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 13:35:01,757 - pyskl - INFO - |
| top1_acc 0.4266 |
| top5_acc 0.7657 |
| 2025-06-01 13:35:01,758 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 13:35:01,765 - pyskl - INFO - |
| mean_acc 0.4275 |
| 2025-06-01 13:35:01,819 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_30.pth was removed |
| 2025-06-01 13:35:03,306 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_31.pth. |
| 2025-06-01 13:35:03,308 - pyskl - INFO - Best top1_acc is 0.4266 at 31 epoch. |
| 2025-06-01 13:35:03,311 - pyskl - INFO - Epoch(val) [31][413] top1_acc: 0.4266, top5_acc: 0.7657, mean_class_accuracy: 0.4275 |
| 2025-06-01 13:36:06,403 - pyskl - INFO - Epoch [32][100/1027] lr: 2.244e-02, eta: 13:30:23, time: 0.631, data_time: 0.251, memory: 7959, top1_acc: 0.4012, top5_acc: 0.7056, loss_cls: 7.2132, loss: 7.2132 |
| 2025-06-01 13:36:44,353 - pyskl - INFO - Epoch [32][200/1027] lr: 2.243e-02, eta: 13:29:36, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3987, top5_acc: 0.7056, loss_cls: 7.2781, loss: 7.2781 |
| 2025-06-01 13:37:22,369 - pyskl - INFO - Epoch [32][300/1027] lr: 2.241e-02, eta: 13:28:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3925, top5_acc: 0.6925, loss_cls: 7.3458, loss: 7.3458 |
| 2025-06-01 13:38:00,417 - pyskl - INFO - Epoch [32][400/1027] lr: 2.239e-02, eta: 13:28:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3738, top5_acc: 0.6919, loss_cls: 7.3979, loss: 7.3979 |
| 2025-06-01 13:38:38,710 - pyskl - INFO - Epoch [32][500/1027] lr: 2.238e-02, eta: 13:27:17, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3762, top5_acc: 0.6687, loss_cls: 7.3889, loss: 7.3889 |
| 2025-06-01 13:39:16,991 - pyskl - INFO - Epoch [32][600/1027] lr: 2.236e-02, eta: 13:26:32, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3925, top5_acc: 0.6837, loss_cls: 7.3244, loss: 7.3244 |
| 2025-06-01 13:39:54,715 - pyskl - INFO - Epoch [32][700/1027] lr: 2.235e-02, eta: 13:25:44, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3856, top5_acc: 0.7056, loss_cls: 7.2438, loss: 7.2438 |
| 2025-06-01 13:40:32,746 - pyskl - INFO - Epoch [32][800/1027] lr: 2.233e-02, eta: 13:24:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3731, top5_acc: 0.6894, loss_cls: 7.3139, loss: 7.3139 |
| 2025-06-01 13:41:10,884 - pyskl - INFO - Epoch [32][900/1027] lr: 2.232e-02, eta: 13:24:12, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4006, top5_acc: 0.6850, loss_cls: 7.2904, loss: 7.2904 |
| 2025-06-01 13:41:49,271 - pyskl - INFO - Epoch [32][1000/1027] lr: 2.230e-02, eta: 13:23:27, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3775, top5_acc: 0.6881, loss_cls: 7.3631, loss: 7.3631 |
| 2025-06-01 13:42:00,375 - pyskl - INFO - Saving checkpoint at 32 epochs |
| 2025-06-01 13:42:37,346 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 13:42:37,420 - pyskl - INFO - |
| top1_acc 0.4182 |
| top5_acc 0.7565 |
| 2025-06-01 13:42:37,420 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 13:42:37,427 - pyskl - INFO - |
| mean_acc 0.4171 |
| 2025-06-01 13:42:37,429 - pyskl - INFO - Epoch(val) [32][413] top1_acc: 0.4182, top5_acc: 0.7565, mean_class_accuracy: 0.4171 |
| 2025-06-01 13:43:40,938 - pyskl - INFO - Epoch [33][100/1027] lr: 2.228e-02, eta: 13:23:25, time: 0.635, data_time: 0.255, memory: 7959, top1_acc: 0.4156, top5_acc: 0.7338, loss_cls: 7.0261, loss: 7.0261 |
| 2025-06-01 13:44:18,917 - pyskl - INFO - Epoch [33][200/1027] lr: 2.226e-02, eta: 13:22:38, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4056, top5_acc: 0.7056, loss_cls: 7.2304, loss: 7.2304 |
| 2025-06-01 13:44:56,911 - pyskl - INFO - Epoch [33][300/1027] lr: 2.225e-02, eta: 13:21:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3906, top5_acc: 0.6831, loss_cls: 7.3093, loss: 7.3093 |
| 2025-06-01 13:45:35,076 - pyskl - INFO - Epoch [33][400/1027] lr: 2.223e-02, eta: 13:21:06, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3856, top5_acc: 0.6800, loss_cls: 7.2729, loss: 7.2729 |
| 2025-06-01 13:46:13,097 - pyskl - INFO - Epoch [33][500/1027] lr: 2.222e-02, eta: 13:20:20, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4019, top5_acc: 0.6906, loss_cls: 7.2417, loss: 7.2417 |
| 2025-06-01 13:46:51,196 - pyskl - INFO - Epoch [33][600/1027] lr: 2.220e-02, eta: 13:19:34, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3856, top5_acc: 0.6837, loss_cls: 7.3515, loss: 7.3515 |
| 2025-06-01 13:47:29,387 - pyskl - INFO - Epoch [33][700/1027] lr: 2.218e-02, eta: 13:18:48, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3688, top5_acc: 0.6781, loss_cls: 7.2832, loss: 7.2832 |
| 2025-06-01 13:48:07,652 - pyskl - INFO - Epoch [33][800/1027] lr: 2.217e-02, eta: 13:18:03, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3656, top5_acc: 0.6750, loss_cls: 7.4020, loss: 7.4020 |
| 2025-06-01 13:48:45,855 - pyskl - INFO - Epoch [33][900/1027] lr: 2.215e-02, eta: 13:17:18, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3831, top5_acc: 0.6687, loss_cls: 7.3851, loss: 7.3851 |
| 2025-06-01 13:49:24,451 - pyskl - INFO - Epoch [33][1000/1027] lr: 2.214e-02, eta: 13:16:34, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.3975, top5_acc: 0.6937, loss_cls: 7.1796, loss: 7.1796 |
| 2025-06-01 13:49:35,623 - pyskl - INFO - Saving checkpoint at 33 epochs |
| 2025-06-01 13:50:12,296 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 13:50:12,365 - pyskl - INFO - |
| top1_acc 0.4243 |
| top5_acc 0.7675 |
| 2025-06-01 13:50:12,366 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 13:50:12,374 - pyskl - INFO - |
| mean_acc 0.4238 |
| 2025-06-01 13:50:12,375 - pyskl - INFO - Epoch(val) [33][413] top1_acc: 0.4243, top5_acc: 0.7675, mean_class_accuracy: 0.4238 |
| 2025-06-01 13:51:15,578 - pyskl - INFO - Epoch [34][100/1027] lr: 2.212e-02, eta: 13:16:28, time: 0.632, data_time: 0.253, memory: 7959, top1_acc: 0.4050, top5_acc: 0.7194, loss_cls: 7.1768, loss: 7.1768 |
| 2025-06-01 13:51:53,536 - pyskl - INFO - Epoch [34][200/1027] lr: 2.210e-02, eta: 13:15:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3800, top5_acc: 0.7031, loss_cls: 7.3371, loss: 7.3371 |
| 2025-06-01 13:52:31,567 - pyskl - INFO - Epoch [34][300/1027] lr: 2.208e-02, eta: 13:14:56, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3994, top5_acc: 0.6987, loss_cls: 7.1872, loss: 7.1872 |
| 2025-06-01 13:53:09,738 - pyskl - INFO - Epoch [34][400/1027] lr: 2.207e-02, eta: 13:14:10, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4019, top5_acc: 0.7050, loss_cls: 7.2056, loss: 7.2056 |
| 2025-06-01 13:53:47,955 - pyskl - INFO - Epoch [34][500/1027] lr: 2.205e-02, eta: 13:13:25, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3850, top5_acc: 0.6950, loss_cls: 7.3391, loss: 7.3391 |
| 2025-06-01 13:54:26,205 - pyskl - INFO - Epoch [34][600/1027] lr: 2.203e-02, eta: 13:12:40, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3862, top5_acc: 0.6963, loss_cls: 7.3626, loss: 7.3626 |
| 2025-06-01 13:55:04,326 - pyskl - INFO - Epoch [34][700/1027] lr: 2.202e-02, eta: 13:11:55, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3725, top5_acc: 0.6956, loss_cls: 7.3090, loss: 7.3090 |
| 2025-06-01 13:55:42,484 - pyskl - INFO - Epoch [34][800/1027] lr: 2.200e-02, eta: 13:11:09, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4062, top5_acc: 0.7025, loss_cls: 7.2770, loss: 7.2770 |
| 2025-06-01 13:56:20,811 - pyskl - INFO - Epoch [34][900/1027] lr: 2.198e-02, eta: 13:10:24, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3944, top5_acc: 0.6937, loss_cls: 7.2770, loss: 7.2770 |
| 2025-06-01 13:56:59,086 - pyskl - INFO - Epoch [34][1000/1027] lr: 2.197e-02, eta: 13:09:40, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3925, top5_acc: 0.6806, loss_cls: 7.2022, loss: 7.2022 |
| 2025-06-01 13:57:10,312 - pyskl - INFO - Saving checkpoint at 34 epochs |
| 2025-06-01 13:57:46,994 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 13:57:47,064 - pyskl - INFO - |
| top1_acc 0.4055 |
| top5_acc 0.7495 |
| 2025-06-01 13:57:47,064 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 13:57:47,071 - pyskl - INFO - |
| mean_acc 0.4121 |
| 2025-06-01 13:57:47,073 - pyskl - INFO - Epoch(val) [34][413] top1_acc: 0.4055, top5_acc: 0.7495, mean_class_accuracy: 0.4121 |
| 2025-06-01 13:58:50,110 - pyskl - INFO - Epoch [35][100/1027] lr: 2.195e-02, eta: 13:09:32, time: 0.630, data_time: 0.251, memory: 7959, top1_acc: 0.3950, top5_acc: 0.7119, loss_cls: 7.1719, loss: 7.1719 |
| 2025-06-01 13:59:28,009 - pyskl - INFO - Epoch [35][200/1027] lr: 2.193e-02, eta: 13:08:45, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4037, top5_acc: 0.7137, loss_cls: 7.1194, loss: 7.1194 |
| 2025-06-01 14:00:06,013 - pyskl - INFO - Epoch [35][300/1027] lr: 2.191e-02, eta: 13:08:00, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4069, top5_acc: 0.7087, loss_cls: 7.1727, loss: 7.1727 |
| 2025-06-01 14:00:44,090 - pyskl - INFO - Epoch [35][400/1027] lr: 2.190e-02, eta: 13:07:14, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4088, top5_acc: 0.7063, loss_cls: 7.1614, loss: 7.1614 |
| 2025-06-01 14:01:22,157 - pyskl - INFO - Epoch [35][500/1027] lr: 2.188e-02, eta: 13:06:29, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4081, top5_acc: 0.7050, loss_cls: 7.1681, loss: 7.1681 |
| 2025-06-01 14:02:00,297 - pyskl - INFO - Epoch [35][600/1027] lr: 2.186e-02, eta: 13:05:43, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3887, top5_acc: 0.6944, loss_cls: 7.2449, loss: 7.2449 |
| 2025-06-01 14:02:38,422 - pyskl - INFO - Epoch [35][700/1027] lr: 2.185e-02, eta: 13:04:58, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3987, top5_acc: 0.7087, loss_cls: 7.1386, loss: 7.1386 |
| 2025-06-01 14:03:16,678 - pyskl - INFO - Epoch [35][800/1027] lr: 2.183e-02, eta: 13:04:13, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3962, top5_acc: 0.6719, loss_cls: 7.3521, loss: 7.3521 |
| 2025-06-01 14:03:54,680 - pyskl - INFO - Epoch [35][900/1027] lr: 2.181e-02, eta: 13:03:28, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3806, top5_acc: 0.6931, loss_cls: 7.4188, loss: 7.4188 |
| 2025-06-01 14:04:32,644 - pyskl - INFO - Epoch [35][1000/1027] lr: 2.179e-02, eta: 13:02:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3850, top5_acc: 0.6931, loss_cls: 7.3682, loss: 7.3682 |
| 2025-06-01 14:04:43,868 - pyskl - INFO - Saving checkpoint at 35 epochs |
| 2025-06-01 14:23:45,618 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 14:23:45,686 - pyskl - INFO - |
| top1_acc 0.4396 |
| top5_acc 0.7800 |
| 2025-06-01 14:23:45,686 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 14:23:45,693 - pyskl - INFO - |
| mean_acc 0.4433 |
| 2025-06-01 14:23:45,750 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_31.pth was removed |
| 2025-06-01 14:23:47,220 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth. |
| 2025-06-01 14:23:47,222 - pyskl - INFO - Best top1_acc is 0.4396 at 35 epoch. |
| 2025-06-01 14:23:47,225 - pyskl - INFO - Epoch(val) [35][413] top1_acc: 0.4396, top5_acc: 0.7800, mean_class_accuracy: 0.4433 |
| 2025-06-01 14:24:50,567 - pyskl - INFO - Epoch [36][100/1027] lr: 2.177e-02, eta: 13:02:34, time: 0.633, data_time: 0.255, memory: 7959, top1_acc: 0.4294, top5_acc: 0.7362, loss_cls: 6.9945, loss: 6.9945 |
| 2025-06-01 14:25:28,315 - pyskl - INFO - Epoch [36][200/1027] lr: 2.176e-02, eta: 13:01:47, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3975, top5_acc: 0.6956, loss_cls: 7.2900, loss: 7.2900 |
| 2025-06-01 14:26:06,041 - pyskl - INFO - Epoch [36][300/1027] lr: 2.174e-02, eta: 13:01:01, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4131, top5_acc: 0.7331, loss_cls: 7.0863, loss: 7.0863 |
| 2025-06-01 14:26:43,785 - pyskl - INFO - Epoch [36][400/1027] lr: 2.172e-02, eta: 13:00:14, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3912, top5_acc: 0.7013, loss_cls: 7.2689, loss: 7.2689 |
| 2025-06-01 14:27:21,730 - pyskl - INFO - Epoch [36][500/1027] lr: 2.170e-02, eta: 12:59:29, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3837, top5_acc: 0.7075, loss_cls: 7.2204, loss: 7.2204 |
| 2025-06-01 14:27:59,546 - pyskl - INFO - Epoch [36][600/1027] lr: 2.169e-02, eta: 12:58:43, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4088, top5_acc: 0.6944, loss_cls: 7.2795, loss: 7.2795 |
| 2025-06-01 14:28:37,331 - pyskl - INFO - Epoch [36][700/1027] lr: 2.167e-02, eta: 12:57:56, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4206, top5_acc: 0.7056, loss_cls: 7.1703, loss: 7.1703 |
| 2025-06-01 14:29:15,082 - pyskl - INFO - Epoch [36][800/1027] lr: 2.165e-02, eta: 12:57:10, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.3844, top5_acc: 0.6913, loss_cls: 7.2329, loss: 7.2329 |
| 2025-06-01 14:29:53,479 - pyskl - INFO - Epoch [36][900/1027] lr: 2.163e-02, eta: 12:56:26, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.3912, top5_acc: 0.7019, loss_cls: 7.2715, loss: 7.2715 |
| 2025-06-01 14:30:32,074 - pyskl - INFO - Epoch [36][1000/1027] lr: 2.162e-02, eta: 12:55:43, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.3869, top5_acc: 0.7044, loss_cls: 7.1888, loss: 7.1888 |
| 2025-06-01 14:30:43,106 - pyskl - INFO - Saving checkpoint at 36 epochs |
| 2025-06-01 14:31:19,984 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 14:31:20,055 - pyskl - INFO - |
| top1_acc 0.4414 |
| top5_acc 0.7772 |
| 2025-06-01 14:31:20,055 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 14:31:20,063 - pyskl - INFO - |
| mean_acc 0.4442 |
| 2025-06-01 14:31:20,121 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_35.pth was removed |
| 2025-06-01 14:31:21,773 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. |
| 2025-06-01 14:31:21,775 - pyskl - INFO - Best top1_acc is 0.4414 at 36 epoch. |
| 2025-06-01 14:31:21,778 - pyskl - INFO - Epoch(val) [36][413] top1_acc: 0.4414, top5_acc: 0.7772, mean_class_accuracy: 0.4442 |
| 2025-06-01 14:32:25,135 - pyskl - INFO - Epoch [37][100/1027] lr: 2.159e-02, eta: 12:55:33, time: 0.634, data_time: 0.253, memory: 7959, top1_acc: 0.4238, top5_acc: 0.7063, loss_cls: 7.1328, loss: 7.1328 |
| 2025-06-01 14:33:03,066 - pyskl - INFO - Epoch [37][200/1027] lr: 2.158e-02, eta: 12:54:47, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4125, top5_acc: 0.7244, loss_cls: 7.1094, loss: 7.1094 |
| 2025-06-01 14:33:40,959 - pyskl - INFO - Epoch [37][300/1027] lr: 2.156e-02, eta: 12:54:02, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4144, top5_acc: 0.7050, loss_cls: 7.1130, loss: 7.1130 |
| 2025-06-01 14:34:18,994 - pyskl - INFO - Epoch [37][400/1027] lr: 2.154e-02, eta: 12:53:17, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3969, top5_acc: 0.7019, loss_cls: 7.2342, loss: 7.2342 |
| 2025-06-01 14:34:57,167 - pyskl - INFO - Epoch [37][500/1027] lr: 2.152e-02, eta: 12:52:32, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4000, top5_acc: 0.6919, loss_cls: 7.2373, loss: 7.2373 |
| 2025-06-01 14:35:35,305 - pyskl - INFO - Epoch [37][600/1027] lr: 2.151e-02, eta: 12:51:47, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.3975, top5_acc: 0.7119, loss_cls: 7.1480, loss: 7.1480 |
| 2025-06-01 14:36:13,483 - pyskl - INFO - Epoch [37][700/1027] lr: 2.149e-02, eta: 12:51:02, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4050, top5_acc: 0.6925, loss_cls: 7.1594, loss: 7.1594 |
| 2025-06-01 14:36:51,581 - pyskl - INFO - Epoch [37][800/1027] lr: 2.147e-02, eta: 12:50:18, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4306, top5_acc: 0.7225, loss_cls: 7.1078, loss: 7.1078 |
| 2025-06-01 14:37:30,129 - pyskl - INFO - Epoch [37][900/1027] lr: 2.145e-02, eta: 12:49:34, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4269, top5_acc: 0.7206, loss_cls: 7.1496, loss: 7.1496 |
| 2025-06-01 14:38:08,624 - pyskl - INFO - Epoch [37][1000/1027] lr: 2.144e-02, eta: 12:48:51, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4069, top5_acc: 0.7063, loss_cls: 7.3348, loss: 7.3348 |
| 2025-06-01 14:38:19,650 - pyskl - INFO - Saving checkpoint at 37 epochs |
| 2025-06-01 14:38:56,767 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 14:38:56,837 - pyskl - INFO - |
| top1_acc 0.4495 |
| top5_acc 0.7842 |
| 2025-06-01 14:38:56,837 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 14:38:56,847 - pyskl - INFO - |
| mean_acc 0.4496 |
| 2025-06-01 14:38:56,931 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_36.pth was removed |
| 2025-06-01 14:38:58,511 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_37.pth. |
| 2025-06-01 14:38:58,513 - pyskl - INFO - Best top1_acc is 0.4495 at 37 epoch. |
| 2025-06-01 14:38:58,516 - pyskl - INFO - Epoch(val) [37][413] top1_acc: 0.4495, top5_acc: 0.7842, mean_class_accuracy: 0.4496 |
| 2025-06-01 14:40:02,239 - pyskl - INFO - Epoch [38][100/1027] lr: 2.141e-02, eta: 12:48:40, time: 0.637, data_time: 0.256, memory: 7959, top1_acc: 0.4381, top5_acc: 0.7456, loss_cls: 6.9686, loss: 6.9686 |
| 2025-06-01 14:40:40,326 - pyskl - INFO - Epoch [38][200/1027] lr: 2.140e-02, eta: 12:47:55, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4256, top5_acc: 0.7131, loss_cls: 7.0455, loss: 7.0455 |
| 2025-06-01 14:41:18,277 - pyskl - INFO - Epoch [38][300/1027] lr: 2.138e-02, eta: 12:47:10, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7325, loss_cls: 7.0945, loss: 7.0945 |
| 2025-06-01 14:41:56,488 - pyskl - INFO - Epoch [38][400/1027] lr: 2.136e-02, eta: 12:46:26, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4062, top5_acc: 0.7137, loss_cls: 7.2032, loss: 7.2032 |
| 2025-06-01 14:42:34,498 - pyskl - INFO - Epoch [38][500/1027] lr: 2.134e-02, eta: 12:45:41, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4131, top5_acc: 0.7031, loss_cls: 7.1006, loss: 7.1006 |
| 2025-06-01 14:43:12,722 - pyskl - INFO - Epoch [38][600/1027] lr: 2.132e-02, eta: 12:44:56, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4106, top5_acc: 0.7087, loss_cls: 7.2191, loss: 7.2191 |
| 2025-06-01 14:43:50,742 - pyskl - INFO - Epoch [38][700/1027] lr: 2.131e-02, eta: 12:44:11, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4019, top5_acc: 0.7063, loss_cls: 7.2525, loss: 7.2525 |
| 2025-06-01 14:44:28,752 - pyskl - INFO - Epoch [38][800/1027] lr: 2.129e-02, eta: 12:43:27, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4006, top5_acc: 0.6975, loss_cls: 7.2212, loss: 7.2212 |
| 2025-06-01 14:45:07,082 - pyskl - INFO - Epoch [38][900/1027] lr: 2.127e-02, eta: 12:42:43, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4006, top5_acc: 0.7125, loss_cls: 7.1319, loss: 7.1319 |
| 2025-06-01 14:45:45,473 - pyskl - INFO - Epoch [38][1000/1027] lr: 2.125e-02, eta: 12:41:59, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4012, top5_acc: 0.7031, loss_cls: 7.3305, loss: 7.3305 |
| 2025-06-01 14:45:56,474 - pyskl - INFO - Saving checkpoint at 38 epochs |
| 2025-06-01 14:46:32,997 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 14:46:33,069 - pyskl - INFO - |
| top1_acc 0.4489 |
| top5_acc 0.7765 |
| 2025-06-01 14:46:33,069 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 14:46:33,077 - pyskl - INFO - |
| mean_acc 0.4457 |
| 2025-06-01 14:46:33,079 - pyskl - INFO - Epoch(val) [38][413] top1_acc: 0.4489, top5_acc: 0.7765, mean_class_accuracy: 0.4457 |
| 2025-06-01 14:47:36,713 - pyskl - INFO - Epoch [39][100/1027] lr: 2.123e-02, eta: 12:41:47, time: 0.636, data_time: 0.254, memory: 7959, top1_acc: 0.4300, top5_acc: 0.7319, loss_cls: 7.1334, loss: 7.1334 |
| 2025-06-01 14:48:14,628 - pyskl - INFO - Epoch [39][200/1027] lr: 2.121e-02, eta: 12:41:02, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4156, top5_acc: 0.7031, loss_cls: 7.1655, loss: 7.1655 |
| 2025-06-01 14:48:52,576 - pyskl - INFO - Epoch [39][300/1027] lr: 2.119e-02, eta: 12:40:17, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.3962, top5_acc: 0.7025, loss_cls: 7.1670, loss: 7.1670 |
| 2025-06-01 14:49:30,598 - pyskl - INFO - Epoch [39][400/1027] lr: 2.117e-02, eta: 12:39:32, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4119, top5_acc: 0.7244, loss_cls: 7.0820, loss: 7.0820 |
| 2025-06-01 14:50:08,848 - pyskl - INFO - Epoch [39][500/1027] lr: 2.115e-02, eta: 12:38:48, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4250, top5_acc: 0.7281, loss_cls: 7.0266, loss: 7.0266 |
| 2025-06-01 14:50:47,021 - pyskl - INFO - Epoch [39][600/1027] lr: 2.114e-02, eta: 12:38:03, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4062, top5_acc: 0.7113, loss_cls: 7.1661, loss: 7.1661 |
| 2025-06-01 14:51:25,017 - pyskl - INFO - Epoch [39][700/1027] lr: 2.112e-02, eta: 12:37:19, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3869, top5_acc: 0.7031, loss_cls: 7.2296, loss: 7.2296 |
| 2025-06-01 14:52:03,019 - pyskl - INFO - Epoch [39][800/1027] lr: 2.110e-02, eta: 12:36:34, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4213, top5_acc: 0.7169, loss_cls: 7.0006, loss: 7.0006 |
| 2025-06-01 14:52:41,445 - pyskl - INFO - Epoch [39][900/1027] lr: 2.108e-02, eta: 12:35:50, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4113, top5_acc: 0.6900, loss_cls: 7.1352, loss: 7.1352 |
| 2025-06-01 14:53:20,044 - pyskl - INFO - Epoch [39][1000/1027] lr: 2.106e-02, eta: 12:35:07, time: 0.386, data_time: 0.001, memory: 7959, top1_acc: 0.4169, top5_acc: 0.7306, loss_cls: 7.0342, loss: 7.0342 |
| 2025-06-01 14:53:30,897 - pyskl - INFO - Saving checkpoint at 39 epochs |
| 2025-06-01 14:54:07,924 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 14:54:07,994 - pyskl - INFO - |
| top1_acc 0.4408 |
| top5_acc 0.7762 |
| 2025-06-01 14:54:07,994 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 14:54:08,002 - pyskl - INFO - |
| mean_acc 0.4415 |
| 2025-06-01 14:54:08,003 - pyskl - INFO - Epoch(val) [39][413] top1_acc: 0.4408, top5_acc: 0.7762, mean_class_accuracy: 0.4415 |
| 2025-06-01 14:55:12,383 - pyskl - INFO - Epoch [40][100/1027] lr: 2.104e-02, eta: 12:34:56, time: 0.644, data_time: 0.262, memory: 7959, top1_acc: 0.4650, top5_acc: 0.7469, loss_cls: 6.8984, loss: 6.8984 |
| 2025-06-01 14:55:50,377 - pyskl - INFO - Epoch [40][200/1027] lr: 2.102e-02, eta: 12:34:12, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4306, top5_acc: 0.7219, loss_cls: 7.0238, loss: 7.0238 |
| 2025-06-01 14:56:28,323 - pyskl - INFO - Epoch [40][300/1027] lr: 2.100e-02, eta: 12:33:27, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4263, top5_acc: 0.7275, loss_cls: 7.0412, loss: 7.0412 |
| 2025-06-01 14:57:06,343 - pyskl - INFO - Epoch [40][400/1027] lr: 2.098e-02, eta: 12:32:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4387, top5_acc: 0.7194, loss_cls: 7.0369, loss: 7.0369 |
| 2025-06-01 14:57:44,483 - pyskl - INFO - Epoch [40][500/1027] lr: 2.096e-02, eta: 12:31:58, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4169, top5_acc: 0.7212, loss_cls: 7.1267, loss: 7.1267 |
| 2025-06-01 14:58:22,665 - pyskl - INFO - Epoch [40][600/1027] lr: 2.094e-02, eta: 12:31:14, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3944, top5_acc: 0.6969, loss_cls: 7.1891, loss: 7.1891 |
| 2025-06-01 14:59:00,860 - pyskl - INFO - Epoch [40][700/1027] lr: 2.093e-02, eta: 12:30:30, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4219, top5_acc: 0.7238, loss_cls: 7.2120, loss: 7.2120 |
| 2025-06-01 14:59:39,025 - pyskl - INFO - Epoch [40][800/1027] lr: 2.091e-02, eta: 12:29:45, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4263, top5_acc: 0.7281, loss_cls: 7.0005, loss: 7.0005 |
| 2025-06-01 15:00:17,600 - pyskl - INFO - Epoch [40][900/1027] lr: 2.089e-02, eta: 12:29:03, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.4213, top5_acc: 0.7119, loss_cls: 7.1325, loss: 7.1325 |
| 2025-06-01 15:00:55,902 - pyskl - INFO - Epoch [40][1000/1027] lr: 2.087e-02, eta: 12:28:19, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.3950, top5_acc: 0.6913, loss_cls: 7.2493, loss: 7.2493 |
| 2025-06-01 15:01:06,851 - pyskl - INFO - Saving checkpoint at 40 epochs |
| 2025-06-01 15:22:10,461 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 15:22:10,531 - pyskl - INFO - |
| top1_acc 0.4716 |
| top5_acc 0.8039 |
| 2025-06-01 15:22:10,531 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 15:22:10,538 - pyskl - INFO - |
| mean_acc 0.4706 |
| 2025-06-01 15:22:10,595 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_37.pth was removed |
| 2025-06-01 15:22:12,132 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. |
| 2025-06-01 15:22:12,133 - pyskl - INFO - Best top1_acc is 0.4716 at 40 epoch. |
| 2025-06-01 15:22:12,136 - pyskl - INFO - Epoch(val) [40][413] top1_acc: 0.4716, top5_acc: 0.8039, mean_class_accuracy: 0.4706 |
| 2025-06-01 15:23:15,087 - pyskl - INFO - Epoch [41][100/1027] lr: 2.085e-02, eta: 12:28:03, time: 0.629, data_time: 0.251, memory: 7959, top1_acc: 0.4400, top5_acc: 0.7469, loss_cls: 6.7975, loss: 6.7975 |
| 2025-06-01 15:23:52,847 - pyskl - INFO - Epoch [41][200/1027] lr: 2.083e-02, eta: 12:27:17, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4344, top5_acc: 0.7269, loss_cls: 6.9646, loss: 6.9646 |
| 2025-06-01 15:24:30,941 - pyskl - INFO - Epoch [41][300/1027] lr: 2.081e-02, eta: 12:26:33, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4263, top5_acc: 0.7256, loss_cls: 6.9905, loss: 6.9905 |
| 2025-06-01 15:25:09,190 - pyskl - INFO - Epoch [41][400/1027] lr: 2.079e-02, eta: 12:25:49, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4525, top5_acc: 0.7312, loss_cls: 6.9689, loss: 6.9689 |
| 2025-06-01 15:25:47,147 - pyskl - INFO - Epoch [41][500/1027] lr: 2.077e-02, eta: 12:25:05, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3900, top5_acc: 0.6987, loss_cls: 7.2387, loss: 7.2387 |
| 2025-06-01 15:26:25,016 - pyskl - INFO - Epoch [41][600/1027] lr: 2.075e-02, eta: 12:24:20, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4062, top5_acc: 0.7200, loss_cls: 7.1071, loss: 7.1071 |
| 2025-06-01 15:27:03,027 - pyskl - INFO - Epoch [41][700/1027] lr: 2.073e-02, eta: 12:23:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4131, top5_acc: 0.7200, loss_cls: 7.1407, loss: 7.1407 |
| 2025-06-01 15:27:41,668 - pyskl - INFO - Epoch [41][800/1027] lr: 2.071e-02, eta: 12:22:53, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.4381, top5_acc: 0.7331, loss_cls: 7.0062, loss: 7.0062 |
| 2025-06-01 15:28:20,203 - pyskl - INFO - Epoch [41][900/1027] lr: 2.069e-02, eta: 12:22:10, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4225, top5_acc: 0.7031, loss_cls: 7.1703, loss: 7.1703 |
| 2025-06-01 15:28:58,375 - pyskl - INFO - Epoch [41][1000/1027] lr: 2.067e-02, eta: 12:21:26, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4131, top5_acc: 0.6994, loss_cls: 7.0369, loss: 7.0369 |
| 2025-06-01 15:29:09,818 - pyskl - INFO - Saving checkpoint at 41 epochs |
| 2025-06-01 15:29:46,948 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 15:29:47,019 - pyskl - INFO - |
| top1_acc 0.4646 |
| top5_acc 0.7856 |
| 2025-06-01 15:29:47,020 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 15:29:47,027 - pyskl - INFO - |
| mean_acc 0.4666 |
| 2025-06-01 15:29:47,029 - pyskl - INFO - Epoch(val) [41][413] top1_acc: 0.4646, top5_acc: 0.7856, mean_class_accuracy: 0.4666 |
| 2025-06-01 15:30:50,395 - pyskl - INFO - Epoch [42][100/1027] lr: 2.065e-02, eta: 12:21:10, time: 0.634, data_time: 0.252, memory: 7959, top1_acc: 0.4394, top5_acc: 0.7369, loss_cls: 6.9694, loss: 6.9694 |
| 2025-06-01 15:31:28,614 - pyskl - INFO - Epoch [42][200/1027] lr: 2.063e-02, eta: 12:20:26, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4506, top5_acc: 0.7388, loss_cls: 6.9088, loss: 6.9088 |
| 2025-06-01 15:32:07,145 - pyskl - INFO - Epoch [42][300/1027] lr: 2.061e-02, eta: 12:19:43, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4481, top5_acc: 0.7462, loss_cls: 6.8738, loss: 6.8738 |
| 2025-06-01 15:32:45,697 - pyskl - INFO - Epoch [42][400/1027] lr: 2.059e-02, eta: 12:19:00, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.4250, top5_acc: 0.7169, loss_cls: 7.0519, loss: 7.0519 |
| 2025-06-01 15:33:23,794 - pyskl - INFO - Epoch [42][500/1027] lr: 2.057e-02, eta: 12:18:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7425, loss_cls: 6.7953, loss: 6.7953 |
| 2025-06-01 15:34:01,877 - pyskl - INFO - Epoch [42][600/1027] lr: 2.055e-02, eta: 12:17:32, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4281, top5_acc: 0.6975, loss_cls: 7.1045, loss: 7.1045 |
| 2025-06-01 15:34:40,253 - pyskl - INFO - Epoch [42][700/1027] lr: 2.053e-02, eta: 12:16:48, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4256, top5_acc: 0.7050, loss_cls: 7.1414, loss: 7.1414 |
| 2025-06-01 15:35:18,851 - pyskl - INFO - Epoch [42][800/1027] lr: 2.051e-02, eta: 12:16:06, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.4081, top5_acc: 0.7150, loss_cls: 7.1826, loss: 7.1826 |
| 2025-06-01 15:35:57,319 - pyskl - INFO - Epoch [42][900/1027] lr: 2.049e-02, eta: 12:15:23, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4119, top5_acc: 0.7063, loss_cls: 7.1103, loss: 7.1103 |
| 2025-06-01 15:36:35,463 - pyskl - INFO - Epoch [42][1000/1027] lr: 2.047e-02, eta: 12:14:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4256, top5_acc: 0.7137, loss_cls: 7.0264, loss: 7.0264 |
| 2025-06-01 15:36:46,887 - pyskl - INFO - Saving checkpoint at 42 epochs |
| 2025-06-01 15:37:24,404 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 15:37:24,475 - pyskl - INFO - |
| top1_acc 0.4610 |
| top5_acc 0.7818 |
| 2025-06-01 15:37:24,476 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 15:37:24,484 - pyskl - INFO - |
| mean_acc 0.4606 |
| 2025-06-01 15:37:24,486 - pyskl - INFO - Epoch(val) [42][413] top1_acc: 0.4610, top5_acc: 0.7818, mean_class_accuracy: 0.4606 |
| 2025-06-01 15:38:28,531 - pyskl - INFO - Epoch [43][100/1027] lr: 2.045e-02, eta: 12:14:23, time: 0.640, data_time: 0.256, memory: 7959, top1_acc: 0.4550, top5_acc: 0.7394, loss_cls: 6.9061, loss: 6.9061 |
| 2025-06-01 15:39:07,105 - pyskl - INFO - Epoch [43][200/1027] lr: 2.043e-02, eta: 12:13:40, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.4406, top5_acc: 0.7388, loss_cls: 6.9287, loss: 6.9287 |
| 2025-06-01 15:39:45,864 - pyskl - INFO - Epoch [43][300/1027] lr: 2.041e-02, eta: 12:12:58, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.4394, top5_acc: 0.7456, loss_cls: 6.8443, loss: 6.8443 |
| 2025-06-01 15:40:24,338 - pyskl - INFO - Epoch [43][400/1027] lr: 2.039e-02, eta: 12:12:15, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4506, top5_acc: 0.7450, loss_cls: 6.8754, loss: 6.8754 |
| 2025-06-01 15:41:02,499 - pyskl - INFO - Epoch [43][500/1027] lr: 2.037e-02, eta: 12:11:31, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4219, top5_acc: 0.7131, loss_cls: 7.1341, loss: 7.1341 |
| 2025-06-01 15:41:40,672 - pyskl - INFO - Epoch [43][600/1027] lr: 2.035e-02, eta: 12:10:47, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4431, top5_acc: 0.7306, loss_cls: 6.9675, loss: 6.9675 |
| 2025-06-01 15:42:19,038 - pyskl - INFO - Epoch [43][700/1027] lr: 2.033e-02, eta: 12:10:04, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4069, top5_acc: 0.7106, loss_cls: 7.1159, loss: 7.1159 |
| 2025-06-01 15:42:57,519 - pyskl - INFO - Epoch [43][800/1027] lr: 2.031e-02, eta: 12:09:21, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4381, top5_acc: 0.7275, loss_cls: 6.9236, loss: 6.9236 |
| 2025-06-01 15:43:35,839 - pyskl - INFO - Epoch [43][900/1027] lr: 2.029e-02, eta: 12:08:38, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4131, top5_acc: 0.7119, loss_cls: 7.0917, loss: 7.0917 |
| 2025-06-01 15:44:13,923 - pyskl - INFO - Epoch [43][1000/1027] lr: 2.027e-02, eta: 12:07:54, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7244, loss_cls: 6.9882, loss: 6.9882 |
| 2025-06-01 15:44:25,259 - pyskl - INFO - Saving checkpoint at 43 epochs |
| 2025-06-01 15:45:02,634 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 15:45:02,708 - pyskl - INFO - |
| top1_acc 0.4692 |
| top5_acc 0.7995 |
| 2025-06-01 15:45:02,709 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 15:45:02,717 - pyskl - INFO - |
| mean_acc 0.4682 |
| 2025-06-01 15:45:02,718 - pyskl - INFO - Epoch(val) [43][413] top1_acc: 0.4692, top5_acc: 0.7995, mean_class_accuracy: 0.4682 |
| 2025-06-01 15:46:05,999 - pyskl - INFO - Epoch [44][100/1027] lr: 2.024e-02, eta: 12:07:35, time: 0.633, data_time: 0.252, memory: 7959, top1_acc: 0.4487, top5_acc: 0.7394, loss_cls: 6.9074, loss: 6.9074 |
| 2025-06-01 15:46:44,142 - pyskl - INFO - Epoch [44][200/1027] lr: 2.022e-02, eta: 12:06:52, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4350, top5_acc: 0.7306, loss_cls: 6.9903, loss: 6.9903 |
| 2025-06-01 15:47:22,545 - pyskl - INFO - Epoch [44][300/1027] lr: 2.020e-02, eta: 12:06:09, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4462, top5_acc: 0.7281, loss_cls: 6.9589, loss: 6.9589 |
| 2025-06-01 15:48:00,941 - pyskl - INFO - Epoch [44][400/1027] lr: 2.018e-02, eta: 12:05:26, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4444, top5_acc: 0.7531, loss_cls: 6.9293, loss: 6.9293 |
| 2025-06-01 15:48:39,044 - pyskl - INFO - Epoch [44][500/1027] lr: 2.016e-02, eta: 12:04:42, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7312, loss_cls: 7.0466, loss: 7.0466 |
| 2025-06-01 15:49:17,067 - pyskl - INFO - Epoch [44][600/1027] lr: 2.014e-02, eta: 12:03:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4225, top5_acc: 0.7362, loss_cls: 7.0328, loss: 7.0328 |
| 2025-06-01 15:49:55,369 - pyskl - INFO - Epoch [44][700/1027] lr: 2.012e-02, eta: 12:03:14, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4494, top5_acc: 0.7156, loss_cls: 6.9383, loss: 6.9383 |
| 2025-06-01 15:50:33,986 - pyskl - INFO - Epoch [44][800/1027] lr: 2.010e-02, eta: 12:02:32, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.4537, top5_acc: 0.7300, loss_cls: 6.8137, loss: 6.8137 |
| 2025-06-01 15:51:12,353 - pyskl - INFO - Epoch [44][900/1027] lr: 2.008e-02, eta: 12:01:49, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4344, top5_acc: 0.7406, loss_cls: 7.0398, loss: 7.0398 |
| 2025-06-01 15:51:50,502 - pyskl - INFO - Epoch [44][1000/1027] lr: 2.006e-02, eta: 12:01:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7338, loss_cls: 7.0855, loss: 7.0855 |
| 2025-06-01 15:52:01,606 - pyskl - INFO - Saving checkpoint at 44 epochs |
| 2025-06-01 15:52:38,739 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 15:52:38,809 - pyskl - INFO - |
| top1_acc 0.4793 |
| top5_acc 0.7921 |
| 2025-06-01 15:52:38,809 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 15:52:38,816 - pyskl - INFO - |
| mean_acc 0.4806 |
| 2025-06-01 15:52:38,875 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_40.pth was removed |
| 2025-06-01 15:52:40,422 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_44.pth. |
| 2025-06-01 15:52:40,424 - pyskl - INFO - Best top1_acc is 0.4793 at 44 epoch. |
| 2025-06-01 15:52:40,427 - pyskl - INFO - Epoch(val) [44][413] top1_acc: 0.4793, top5_acc: 0.7921, mean_class_accuracy: 0.4806 |
| 2025-06-01 15:53:43,591 - pyskl - INFO - Epoch [45][100/1027] lr: 2.004e-02, eta: 12:00:45, time: 0.632, data_time: 0.251, memory: 7959, top1_acc: 0.4469, top5_acc: 0.7375, loss_cls: 6.9357, loss: 6.9357 |
| 2025-06-01 15:54:21,785 - pyskl - INFO - Epoch [45][200/1027] lr: 2.002e-02, eta: 12:00:02, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4431, top5_acc: 0.7225, loss_cls: 6.9974, loss: 6.9974 |
| 2025-06-01 15:55:00,029 - pyskl - INFO - Epoch [45][300/1027] lr: 2.000e-02, eta: 11:59:19, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4475, top5_acc: 0.7425, loss_cls: 6.8971, loss: 6.8971 |
| 2025-06-01 15:55:38,420 - pyskl - INFO - Epoch [45][400/1027] lr: 1.998e-02, eta: 11:58:35, time: 0.384, data_time: 0.001, memory: 7959, top1_acc: 0.4475, top5_acc: 0.7431, loss_cls: 6.9865, loss: 6.9865 |
| 2025-06-01 15:56:16,444 - pyskl - INFO - Epoch [45][500/1027] lr: 1.996e-02, eta: 11:57:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4594, top5_acc: 0.7394, loss_cls: 6.8923, loss: 6.8923 |
| 2025-06-01 15:56:54,477 - pyskl - INFO - Epoch [45][600/1027] lr: 1.994e-02, eta: 11:57:08, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4519, top5_acc: 0.7481, loss_cls: 6.8749, loss: 6.8749 |
| 2025-06-01 15:57:32,486 - pyskl - INFO - Epoch [45][700/1027] lr: 1.991e-02, eta: 11:56:24, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4450, top5_acc: 0.7388, loss_cls: 6.8724, loss: 6.8724 |
| 2025-06-01 15:58:10,780 - pyskl - INFO - Epoch [45][800/1027] lr: 1.989e-02, eta: 11:55:41, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4006, top5_acc: 0.7256, loss_cls: 7.0607, loss: 7.0607 |
| 2025-06-01 15:58:48,638 - pyskl - INFO - Epoch [45][900/1027] lr: 1.987e-02, eta: 11:54:57, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4450, top5_acc: 0.7369, loss_cls: 6.8480, loss: 6.8480 |
| 2025-06-01 15:59:26,616 - pyskl - INFO - Epoch [45][1000/1027] lr: 1.985e-02, eta: 11:54:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7125, loss_cls: 7.0309, loss: 7.0309 |
| 2025-06-01 15:59:37,768 - pyskl - INFO - Saving checkpoint at 45 epochs |
| 2025-06-01 16:19:11,687 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 16:19:11,759 - pyskl - INFO - |
| top1_acc 0.4325 |
| top5_acc 0.7441 |
| 2025-06-01 16:19:11,759 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 16:19:11,766 - pyskl - INFO - |
| mean_acc 0.4359 |
| 2025-06-01 16:19:11,768 - pyskl - INFO - Epoch(val) [45][413] top1_acc: 0.4325, top5_acc: 0.7441, mean_class_accuracy: 0.4359 |
| 2025-06-01 16:20:14,862 - pyskl - INFO - Epoch [46][100/1027] lr: 1.983e-02, eta: 11:53:52, time: 0.631, data_time: 0.253, memory: 7959, top1_acc: 0.4481, top5_acc: 0.7444, loss_cls: 6.9769, loss: 6.9769 |
| 2025-06-01 16:20:52,564 - pyskl - INFO - Epoch [46][200/1027] lr: 1.981e-02, eta: 11:53:07, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4625, top5_acc: 0.7369, loss_cls: 6.8685, loss: 6.8685 |
| 2025-06-01 16:21:30,873 - pyskl - INFO - Epoch [46][300/1027] lr: 1.979e-02, eta: 11:52:24, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4550, top5_acc: 0.7400, loss_cls: 6.8369, loss: 6.8369 |
| 2025-06-01 16:22:08,956 - pyskl - INFO - Epoch [46][400/1027] lr: 1.976e-02, eta: 11:51:41, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4450, top5_acc: 0.7406, loss_cls: 6.8620, loss: 6.8620 |
| 2025-06-01 16:22:46,913 - pyskl - INFO - Epoch [46][500/1027] lr: 1.974e-02, eta: 11:50:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4469, top5_acc: 0.7181, loss_cls: 6.9616, loss: 6.9616 |
| 2025-06-01 16:23:24,814 - pyskl - INFO - Epoch [46][600/1027] lr: 1.972e-02, eta: 11:50:13, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4631, top5_acc: 0.7575, loss_cls: 6.7840, loss: 6.7840 |
| 2025-06-01 16:24:02,949 - pyskl - INFO - Epoch [46][700/1027] lr: 1.970e-02, eta: 11:49:29, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4300, top5_acc: 0.7256, loss_cls: 6.8834, loss: 6.8834 |
| 2025-06-01 16:24:41,241 - pyskl - INFO - Epoch [46][800/1027] lr: 1.968e-02, eta: 11:48:46, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4306, top5_acc: 0.7288, loss_cls: 6.9716, loss: 6.9716 |
| 2025-06-01 16:25:19,180 - pyskl - INFO - Epoch [46][900/1027] lr: 1.966e-02, eta: 11:48:03, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4344, top5_acc: 0.7188, loss_cls: 6.9873, loss: 6.9873 |
| 2025-06-01 16:25:56,659 - pyskl - INFO - Epoch [46][1000/1027] lr: 1.964e-02, eta: 11:47:18, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4181, top5_acc: 0.7194, loss_cls: 6.9192, loss: 6.9192 |
| 2025-06-01 16:26:07,541 - pyskl - INFO - Saving checkpoint at 46 epochs |
| 2025-06-01 16:26:44,587 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 16:26:44,657 - pyskl - INFO - |
| top1_acc 0.4799 |
| top5_acc 0.8103 |
| 2025-06-01 16:26:44,657 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 16:26:44,665 - pyskl - INFO - |
| mean_acc 0.4879 |
| 2025-06-01 16:26:44,725 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_44.pth was removed |
| 2025-06-01 16:26:46,268 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. |
| 2025-06-01 16:26:46,270 - pyskl - INFO - Best top1_acc is 0.4799 at 46 epoch. |
| 2025-06-01 16:26:46,273 - pyskl - INFO - Epoch(val) [46][413] top1_acc: 0.4799, top5_acc: 0.8103, mean_class_accuracy: 0.4879 |
| 2025-06-01 16:27:49,758 - pyskl - INFO - Epoch [47][100/1027] lr: 1.961e-02, eta: 11:46:57, time: 0.635, data_time: 0.250, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7406, loss_cls: 6.7953, loss: 6.7953 |
| 2025-06-01 16:28:28,278 - pyskl - INFO - Epoch [47][200/1027] lr: 1.959e-02, eta: 11:46:14, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4625, top5_acc: 0.7550, loss_cls: 6.8726, loss: 6.8726 |
| 2025-06-01 16:29:06,540 - pyskl - INFO - Epoch [47][300/1027] lr: 1.957e-02, eta: 11:45:31, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7575, loss_cls: 6.8148, loss: 6.8148 |
| 2025-06-01 16:29:44,597 - pyskl - INFO - Epoch [47][400/1027] lr: 1.955e-02, eta: 11:44:48, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7425, loss_cls: 6.8838, loss: 6.8838 |
| 2025-06-01 16:30:22,471 - pyskl - INFO - Epoch [47][500/1027] lr: 1.953e-02, eta: 11:44:04, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7525, loss_cls: 6.7551, loss: 6.7551 |
| 2025-06-01 16:31:00,290 - pyskl - INFO - Epoch [47][600/1027] lr: 1.951e-02, eta: 11:43:20, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4519, top5_acc: 0.7331, loss_cls: 6.8186, loss: 6.8186 |
| 2025-06-01 16:31:38,391 - pyskl - INFO - Epoch [47][700/1027] lr: 1.949e-02, eta: 11:42:36, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4587, top5_acc: 0.7525, loss_cls: 6.9257, loss: 6.9257 |
| 2025-06-01 16:32:16,861 - pyskl - INFO - Epoch [47][800/1027] lr: 1.947e-02, eta: 11:41:54, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4500, top5_acc: 0.7244, loss_cls: 6.9475, loss: 6.9475 |
| 2025-06-01 16:32:55,151 - pyskl - INFO - Epoch [47][900/1027] lr: 1.944e-02, eta: 11:41:11, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4688, top5_acc: 0.7288, loss_cls: 6.8700, loss: 6.8700 |
| 2025-06-01 16:33:33,115 - pyskl - INFO - Epoch [47][1000/1027] lr: 1.942e-02, eta: 11:40:27, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7212, loss_cls: 7.0999, loss: 7.0999 |
| 2025-06-01 16:33:44,088 - pyskl - INFO - Saving checkpoint at 47 epochs |
| 2025-06-01 16:34:21,284 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 16:34:21,357 - pyskl - INFO - |
| top1_acc 0.4904 |
| top5_acc 0.8100 |
| 2025-06-01 16:34:21,357 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 16:34:21,365 - pyskl - INFO - |
| mean_acc 0.4927 |
| 2025-06-01 16:34:21,424 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_46.pth was removed |
| 2025-06-01 16:34:22,993 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. |
| 2025-06-01 16:34:22,995 - pyskl - INFO - Best top1_acc is 0.4904 at 47 epoch. |
| 2025-06-01 16:34:22,998 - pyskl - INFO - Epoch(val) [47][413] top1_acc: 0.4904, top5_acc: 0.8100, mean_class_accuracy: 0.4927 |
| 2025-06-01 16:35:27,274 - pyskl - INFO - Epoch [48][100/1027] lr: 1.940e-02, eta: 11:40:07, time: 0.643, data_time: 0.261, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7669, loss_cls: 6.6318, loss: 6.6318 |
| 2025-06-01 16:36:05,621 - pyskl - INFO - Epoch [48][200/1027] lr: 1.938e-02, eta: 11:39:24, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4875, top5_acc: 0.7538, loss_cls: 6.7225, loss: 6.7225 |
| 2025-06-01 16:36:43,992 - pyskl - INFO - Epoch [48][300/1027] lr: 1.935e-02, eta: 11:38:42, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4669, top5_acc: 0.7488, loss_cls: 6.8044, loss: 6.8044 |
| 2025-06-01 16:37:22,081 - pyskl - INFO - Epoch [48][400/1027] lr: 1.933e-02, eta: 11:37:58, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4412, top5_acc: 0.7231, loss_cls: 6.9845, loss: 6.9845 |
| 2025-06-01 16:38:00,022 - pyskl - INFO - Epoch [48][500/1027] lr: 1.931e-02, eta: 11:37:15, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4419, top5_acc: 0.7381, loss_cls: 6.8637, loss: 6.8637 |
| 2025-06-01 16:38:38,046 - pyskl - INFO - Epoch [48][600/1027] lr: 1.929e-02, eta: 11:36:31, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7562, loss_cls: 6.7285, loss: 6.7285 |
| 2025-06-01 16:39:16,414 - pyskl - INFO - Epoch [48][700/1027] lr: 1.927e-02, eta: 11:35:48, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4569, top5_acc: 0.7438, loss_cls: 6.9368, loss: 6.9368 |
| 2025-06-01 16:39:55,041 - pyskl - INFO - Epoch [48][800/1027] lr: 1.925e-02, eta: 11:35:06, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.4656, top5_acc: 0.7256, loss_cls: 6.9443, loss: 6.9443 |
| 2025-06-01 16:40:33,093 - pyskl - INFO - Epoch [48][900/1027] lr: 1.923e-02, eta: 11:34:23, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7512, loss_cls: 6.8212, loss: 6.8212 |
| 2025-06-01 16:41:10,996 - pyskl - INFO - Epoch [48][1000/1027] lr: 1.920e-02, eta: 11:33:39, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4188, top5_acc: 0.7163, loss_cls: 7.0492, loss: 7.0492 |
| 2025-06-01 16:41:22,014 - pyskl - INFO - Saving checkpoint at 48 epochs |
| 2025-06-01 16:41:58,841 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 16:41:58,911 - pyskl - INFO - |
| top1_acc 0.4760 |
| top5_acc 0.8063 |
| 2025-06-01 16:41:58,911 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 16:41:58,919 - pyskl - INFO - |
| mean_acc 0.4761 |
| 2025-06-01 16:41:58,920 - pyskl - INFO - Epoch(val) [48][413] top1_acc: 0.4760, top5_acc: 0.8063, mean_class_accuracy: 0.4761 |
| 2025-06-01 16:43:03,243 - pyskl - INFO - Epoch [49][100/1027] lr: 1.918e-02, eta: 11:33:18, time: 0.643, data_time: 0.262, memory: 7959, top1_acc: 0.4713, top5_acc: 0.7681, loss_cls: 6.6885, loss: 6.6885 |
| 2025-06-01 16:43:41,460 - pyskl - INFO - Epoch [49][200/1027] lr: 1.915e-02, eta: 11:32:35, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4544, top5_acc: 0.7544, loss_cls: 6.7459, loss: 6.7459 |
| 2025-06-01 16:44:19,892 - pyskl - INFO - Epoch [49][300/1027] lr: 1.913e-02, eta: 11:31:53, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4363, top5_acc: 0.7406, loss_cls: 6.9358, loss: 6.9358 |
| 2025-06-01 16:44:58,133 - pyskl - INFO - Epoch [49][400/1027] lr: 1.911e-02, eta: 11:31:10, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4512, top5_acc: 0.7425, loss_cls: 6.9012, loss: 6.9012 |
| 2025-06-01 16:45:36,179 - pyskl - INFO - Epoch [49][500/1027] lr: 1.909e-02, eta: 11:30:27, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4913, top5_acc: 0.7656, loss_cls: 6.7925, loss: 6.7925 |
| 2025-06-01 16:46:14,126 - pyskl - INFO - Epoch [49][600/1027] lr: 1.907e-02, eta: 11:29:43, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4637, top5_acc: 0.7456, loss_cls: 6.8060, loss: 6.8060 |
| 2025-06-01 16:46:52,389 - pyskl - INFO - Epoch [49][700/1027] lr: 1.905e-02, eta: 11:29:00, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4550, top5_acc: 0.7262, loss_cls: 6.9420, loss: 6.9420 |
| 2025-06-01 16:47:31,029 - pyskl - INFO - Epoch [49][800/1027] lr: 1.902e-02, eta: 11:28:18, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.4537, top5_acc: 0.7356, loss_cls: 6.9525, loss: 6.9525 |
| 2025-06-01 16:48:09,323 - pyskl - INFO - Epoch [49][900/1027] lr: 1.900e-02, eta: 11:27:36, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4594, top5_acc: 0.7325, loss_cls: 6.7504, loss: 6.7504 |
| 2025-06-01 16:48:47,270 - pyskl - INFO - Epoch [49][1000/1027] lr: 1.898e-02, eta: 11:26:52, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4537, top5_acc: 0.7400, loss_cls: 6.7788, loss: 6.7788 |
| 2025-06-01 16:48:58,291 - pyskl - INFO - Saving checkpoint at 49 epochs |
| 2025-06-01 16:49:35,206 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 16:49:35,276 - pyskl - INFO - |
| top1_acc 0.4875 |
| top5_acc 0.7735 |
| 2025-06-01 16:49:35,276 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 16:49:35,286 - pyskl - INFO - |
| mean_acc 0.4892 |
| 2025-06-01 16:49:35,288 - pyskl - INFO - Epoch(val) [49][413] top1_acc: 0.4875, top5_acc: 0.7735, mean_class_accuracy: 0.4892 |
| 2025-06-01 16:50:38,884 - pyskl - INFO - Epoch [50][100/1027] lr: 1.895e-02, eta: 11:26:29, time: 0.636, data_time: 0.255, memory: 7959, top1_acc: 0.4819, top5_acc: 0.7531, loss_cls: 6.7405, loss: 6.7405 |
| 2025-06-01 16:51:17,208 - pyskl - INFO - Epoch [50][200/1027] lr: 1.893e-02, eta: 11:25:46, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4769, top5_acc: 0.7550, loss_cls: 6.6860, loss: 6.6860 |
| 2025-06-01 16:51:55,620 - pyskl - INFO - Epoch [50][300/1027] lr: 1.891e-02, eta: 11:25:04, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7388, loss_cls: 6.8113, loss: 6.8113 |
| 2025-06-01 16:52:33,631 - pyskl - INFO - Epoch [50][400/1027] lr: 1.889e-02, eta: 11:24:21, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4625, top5_acc: 0.7388, loss_cls: 6.7437, loss: 6.7437 |
| 2025-06-01 16:53:11,428 - pyskl - INFO - Epoch [50][500/1027] lr: 1.887e-02, eta: 11:23:37, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4537, top5_acc: 0.7488, loss_cls: 6.8253, loss: 6.8253 |
| 2025-06-01 16:53:49,263 - pyskl - INFO - Epoch [50][600/1027] lr: 1.884e-02, eta: 11:22:53, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4669, top5_acc: 0.7662, loss_cls: 6.6950, loss: 6.6950 |
| 2025-06-01 16:54:27,369 - pyskl - INFO - Epoch [50][700/1027] lr: 1.882e-02, eta: 11:22:10, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4625, top5_acc: 0.7688, loss_cls: 6.7733, loss: 6.7733 |
| 2025-06-01 16:55:05,332 - pyskl - INFO - Epoch [50][800/1027] lr: 1.880e-02, eta: 11:21:27, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4400, top5_acc: 0.7400, loss_cls: 6.8908, loss: 6.8908 |
| 2025-06-01 16:55:43,358 - pyskl - INFO - Epoch [50][900/1027] lr: 1.878e-02, eta: 11:20:44, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4444, top5_acc: 0.7356, loss_cls: 6.8430, loss: 6.8430 |
| 2025-06-01 16:56:21,228 - pyskl - INFO - Epoch [50][1000/1027] lr: 1.876e-02, eta: 11:20:00, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4569, top5_acc: 0.7506, loss_cls: 6.8683, loss: 6.8683 |
| 2025-06-01 16:56:32,196 - pyskl - INFO - Saving checkpoint at 50 epochs |
| 2025-06-01 17:15:57,236 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 17:15:57,305 - pyskl - INFO - |
| top1_acc 0.4870 |
| top5_acc 0.8106 |
| 2025-06-01 17:15:57,305 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 17:15:57,312 - pyskl - INFO - |
| mean_acc 0.4834 |
| 2025-06-01 17:15:57,313 - pyskl - INFO - Epoch(val) [50][413] top1_acc: 0.4870, top5_acc: 0.8106, mean_class_accuracy: 0.4834 |
| 2025-06-01 17:17:00,421 - pyskl - INFO - Epoch [51][100/1027] lr: 1.873e-02, eta: 11:19:35, time: 0.631, data_time: 0.251, memory: 7959, top1_acc: 0.5100, top5_acc: 0.7744, loss_cls: 6.6135, loss: 6.6135 |
| 2025-06-01 17:17:38,505 - pyskl - INFO - Epoch [51][200/1027] lr: 1.871e-02, eta: 11:18:52, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4881, top5_acc: 0.7756, loss_cls: 6.6354, loss: 6.6354 |
| 2025-06-01 17:18:16,371 - pyskl - INFO - Epoch [51][300/1027] lr: 1.868e-02, eta: 11:18:09, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4819, top5_acc: 0.7544, loss_cls: 6.7753, loss: 6.7753 |
| 2025-06-01 17:18:54,152 - pyskl - INFO - Epoch [51][400/1027] lr: 1.866e-02, eta: 11:17:25, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4569, top5_acc: 0.7331, loss_cls: 6.8092, loss: 6.8092 |
| 2025-06-01 17:19:32,094 - pyskl - INFO - Epoch [51][500/1027] lr: 1.864e-02, eta: 11:16:42, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7381, loss_cls: 6.7676, loss: 6.7676 |
| 2025-06-01 17:20:10,510 - pyskl - INFO - Epoch [51][600/1027] lr: 1.862e-02, eta: 11:16:00, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4625, top5_acc: 0.7606, loss_cls: 6.8864, loss: 6.8864 |
| 2025-06-01 17:20:48,525 - pyskl - INFO - Epoch [51][700/1027] lr: 1.860e-02, eta: 11:15:16, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4525, top5_acc: 0.7469, loss_cls: 6.7858, loss: 6.7858 |
| 2025-06-01 17:21:26,608 - pyskl - INFO - Epoch [51][800/1027] lr: 1.857e-02, eta: 11:14:34, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4531, top5_acc: 0.7512, loss_cls: 6.8647, loss: 6.8647 |
| 2025-06-01 17:22:05,226 - pyskl - INFO - Epoch [51][900/1027] lr: 1.855e-02, eta: 11:13:52, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.4906, top5_acc: 0.7588, loss_cls: 6.6795, loss: 6.6795 |
| 2025-06-01 17:22:43,606 - pyskl - INFO - Epoch [51][1000/1027] lr: 1.853e-02, eta: 11:13:09, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4662, top5_acc: 0.7494, loss_cls: 6.8355, loss: 6.8355 |
| 2025-06-01 17:22:54,666 - pyskl - INFO - Saving checkpoint at 51 epochs |
| 2025-06-01 17:23:31,914 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 17:23:31,984 - pyskl - INFO - |
| top1_acc 0.4723 |
| top5_acc 0.7992 |
| 2025-06-01 17:23:31,984 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 17:23:31,992 - pyskl - INFO - |
| mean_acc 0.4721 |
| 2025-06-01 17:23:31,994 - pyskl - INFO - Epoch(val) [51][413] top1_acc: 0.4723, top5_acc: 0.7992, mean_class_accuracy: 0.4721 |
| 2025-06-01 17:24:35,411 - pyskl - INFO - Epoch [52][100/1027] lr: 1.850e-02, eta: 11:12:44, time: 0.634, data_time: 0.254, memory: 7959, top1_acc: 0.4869, top5_acc: 0.7681, loss_cls: 6.6062, loss: 6.6062 |
| 2025-06-01 17:25:13,538 - pyskl - INFO - Epoch [52][200/1027] lr: 1.848e-02, eta: 11:12:01, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4950, top5_acc: 0.7806, loss_cls: 6.5480, loss: 6.5480 |
| 2025-06-01 17:25:51,752 - pyskl - INFO - Epoch [52][300/1027] lr: 1.846e-02, eta: 11:11:19, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4625, top5_acc: 0.7462, loss_cls: 6.7856, loss: 6.7856 |
| 2025-06-01 17:26:29,823 - pyskl - INFO - Epoch [52][400/1027] lr: 1.843e-02, eta: 11:10:36, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4756, top5_acc: 0.7562, loss_cls: 6.7022, loss: 6.7022 |
| 2025-06-01 17:27:08,163 - pyskl - INFO - Epoch [52][500/1027] lr: 1.841e-02, eta: 11:09:53, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4750, top5_acc: 0.7562, loss_cls: 6.7565, loss: 6.7565 |
| 2025-06-01 17:27:46,459 - pyskl - INFO - Epoch [52][600/1027] lr: 1.839e-02, eta: 11:09:11, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4700, top5_acc: 0.7500, loss_cls: 6.7787, loss: 6.7787 |
| 2025-06-01 17:28:24,702 - pyskl - INFO - Epoch [52][700/1027] lr: 1.837e-02, eta: 11:08:28, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7594, loss_cls: 6.8051, loss: 6.8051 |
| 2025-06-01 17:29:02,741 - pyskl - INFO - Epoch [52][800/1027] lr: 1.834e-02, eta: 11:07:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4544, top5_acc: 0.7256, loss_cls: 6.9309, loss: 6.9309 |
| 2025-06-01 17:29:41,127 - pyskl - INFO - Epoch [52][900/1027] lr: 1.832e-02, eta: 11:07:03, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4725, top5_acc: 0.7519, loss_cls: 6.7780, loss: 6.7780 |
| 2025-06-01 17:30:19,519 - pyskl - INFO - Epoch [52][1000/1027] lr: 1.830e-02, eta: 11:06:21, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5025, top5_acc: 0.7669, loss_cls: 6.5877, loss: 6.5877 |
| 2025-06-01 17:30:30,532 - pyskl - INFO - Saving checkpoint at 52 epochs |
| 2025-06-01 17:31:08,035 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 17:31:08,105 - pyskl - INFO - |
| top1_acc 0.5166 |
| top5_acc 0.8275 |
| 2025-06-01 17:31:08,105 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 17:31:08,113 - pyskl - INFO - |
| mean_acc 0.5211 |
| 2025-06-01 17:31:08,175 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_47.pth was removed |
| 2025-06-01 17:31:09,801 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth. |
| 2025-06-01 17:31:09,802 - pyskl - INFO - Best top1_acc is 0.5166 at 52 epoch. |
| 2025-06-01 17:31:09,806 - pyskl - INFO - Epoch(val) [52][413] top1_acc: 0.5166, top5_acc: 0.8275, mean_class_accuracy: 0.5211 |
| 2025-06-01 17:32:12,995 - pyskl - INFO - Epoch [53][100/1027] lr: 1.827e-02, eta: 11:05:54, time: 0.632, data_time: 0.252, memory: 7959, top1_acc: 0.5000, top5_acc: 0.7775, loss_cls: 6.5269, loss: 6.5269 |
| 2025-06-01 17:32:51,084 - pyskl - INFO - Epoch [53][200/1027] lr: 1.825e-02, eta: 11:05:12, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4706, top5_acc: 0.7631, loss_cls: 6.7569, loss: 6.7569 |
| 2025-06-01 17:33:29,252 - pyskl - INFO - Epoch [53][300/1027] lr: 1.822e-02, eta: 11:04:29, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7662, loss_cls: 6.5478, loss: 6.5478 |
| 2025-06-01 17:34:07,297 - pyskl - INFO - Epoch [53][400/1027] lr: 1.820e-02, eta: 11:03:46, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7756, loss_cls: 6.6055, loss: 6.6055 |
| 2025-06-01 17:34:45,708 - pyskl - INFO - Epoch [53][500/1027] lr: 1.818e-02, eta: 11:03:04, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4769, top5_acc: 0.7556, loss_cls: 6.7690, loss: 6.7690 |
| 2025-06-01 17:35:24,064 - pyskl - INFO - Epoch [53][600/1027] lr: 1.816e-02, eta: 11:02:22, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4756, top5_acc: 0.7419, loss_cls: 6.7461, loss: 6.7461 |
| 2025-06-01 17:36:02,296 - pyskl - INFO - Epoch [53][700/1027] lr: 1.813e-02, eta: 11:01:39, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4662, top5_acc: 0.7438, loss_cls: 6.7474, loss: 6.7474 |
| 2025-06-01 17:36:40,444 - pyskl - INFO - Epoch [53][800/1027] lr: 1.811e-02, eta: 11:00:56, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7638, loss_cls: 6.7168, loss: 6.7168 |
| 2025-06-01 17:37:18,824 - pyskl - INFO - Epoch [53][900/1027] lr: 1.809e-02, eta: 11:00:14, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4713, top5_acc: 0.7475, loss_cls: 6.8225, loss: 6.8225 |
| 2025-06-01 17:37:57,179 - pyskl - INFO - Epoch [53][1000/1027] lr: 1.806e-02, eta: 10:59:32, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4562, top5_acc: 0.7269, loss_cls: 6.8247, loss: 6.8247 |
| 2025-06-01 17:38:08,221 - pyskl - INFO - Saving checkpoint at 53 epochs |
| 2025-06-01 17:38:45,221 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 17:38:45,291 - pyskl - INFO - |
| top1_acc 0.4939 |
| top5_acc 0.8256 |
| 2025-06-01 17:38:45,291 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 17:38:45,298 - pyskl - INFO - |
| mean_acc 0.4934 |
| 2025-06-01 17:38:45,299 - pyskl - INFO - Epoch(val) [53][413] top1_acc: 0.4939, top5_acc: 0.8256, mean_class_accuracy: 0.4934 |
| 2025-06-01 17:39:48,839 - pyskl - INFO - Epoch [54][100/1027] lr: 1.804e-02, eta: 10:59:06, time: 0.635, data_time: 0.255, memory: 7959, top1_acc: 0.5044, top5_acc: 0.7775, loss_cls: 6.5485, loss: 6.5485 |
| 2025-06-01 17:40:27,035 - pyskl - INFO - Epoch [54][200/1027] lr: 1.801e-02, eta: 10:58:23, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4688, top5_acc: 0.7706, loss_cls: 6.6329, loss: 6.6329 |
| 2025-06-01 17:41:05,141 - pyskl - INFO - Epoch [54][300/1027] lr: 1.799e-02, eta: 10:57:40, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4844, top5_acc: 0.7650, loss_cls: 6.5144, loss: 6.5144 |
| 2025-06-01 17:41:43,108 - pyskl - INFO - Epoch [54][400/1027] lr: 1.797e-02, eta: 10:56:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4756, top5_acc: 0.7675, loss_cls: 6.7548, loss: 6.7548 |
| 2025-06-01 17:42:21,415 - pyskl - INFO - Epoch [54][500/1027] lr: 1.794e-02, eta: 10:56:15, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4838, top5_acc: 0.7619, loss_cls: 6.6868, loss: 6.6868 |
| 2025-06-01 17:42:59,785 - pyskl - INFO - Epoch [54][600/1027] lr: 1.792e-02, eta: 10:55:33, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4763, top5_acc: 0.7625, loss_cls: 6.7318, loss: 6.7318 |
| 2025-06-01 17:43:37,876 - pyskl - INFO - Epoch [54][700/1027] lr: 1.790e-02, eta: 10:54:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4650, top5_acc: 0.7525, loss_cls: 6.7053, loss: 6.7053 |
| 2025-06-01 17:44:15,989 - pyskl - INFO - Epoch [54][800/1027] lr: 1.787e-02, eta: 10:54:08, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4569, top5_acc: 0.7319, loss_cls: 6.7847, loss: 6.7847 |
| 2025-06-01 17:44:54,460 - pyskl - INFO - Epoch [54][900/1027] lr: 1.785e-02, eta: 10:53:26, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5031, top5_acc: 0.7575, loss_cls: 6.5648, loss: 6.5648 |
| 2025-06-01 17:45:32,673 - pyskl - INFO - Epoch [54][1000/1027] lr: 1.783e-02, eta: 10:52:43, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4838, top5_acc: 0.7656, loss_cls: 6.6431, loss: 6.6431 |
| 2025-06-01 17:45:43,882 - pyskl - INFO - Saving checkpoint at 54 epochs |
| 2025-06-01 17:46:20,933 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 17:46:21,004 - pyskl - INFO - |
| top1_acc 0.4920 |
| top5_acc 0.8024 |
| 2025-06-01 17:46:21,004 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 17:46:21,011 - pyskl - INFO - |
| mean_acc 0.5001 |
| 2025-06-01 17:46:21,013 - pyskl - INFO - Epoch(val) [54][413] top1_acc: 0.4920, top5_acc: 0.8024, mean_class_accuracy: 0.5001 |
| 2025-06-01 17:47:24,177 - pyskl - INFO - Epoch [55][100/1027] lr: 1.780e-02, eta: 10:52:15, time: 0.632, data_time: 0.252, memory: 7959, top1_acc: 0.4950, top5_acc: 0.7869, loss_cls: 6.5282, loss: 6.5282 |
| 2025-06-01 17:48:01,782 - pyskl - INFO - Epoch [55][200/1027] lr: 1.778e-02, eta: 10:51:32, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.7694, loss_cls: 6.5941, loss: 6.5941 |
| 2025-06-01 17:48:39,324 - pyskl - INFO - Epoch [55][300/1027] lr: 1.775e-02, eta: 10:50:48, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7750, loss_cls: 6.6690, loss: 6.6690 |
| 2025-06-01 17:49:16,848 - pyskl - INFO - Epoch [55][400/1027] lr: 1.773e-02, eta: 10:50:05, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4800, top5_acc: 0.7800, loss_cls: 6.6485, loss: 6.6485 |
| 2025-06-01 17:49:55,086 - pyskl - INFO - Epoch [55][500/1027] lr: 1.771e-02, eta: 10:49:22, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4863, top5_acc: 0.7675, loss_cls: 6.6185, loss: 6.6185 |
| 2025-06-01 17:50:33,334 - pyskl - INFO - Epoch [55][600/1027] lr: 1.768e-02, eta: 10:48:40, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7500, loss_cls: 6.7403, loss: 6.7403 |
| 2025-06-01 17:51:11,295 - pyskl - INFO - Epoch [55][700/1027] lr: 1.766e-02, eta: 10:47:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5006, top5_acc: 0.7669, loss_cls: 6.5968, loss: 6.5968 |
| 2025-06-01 17:51:49,346 - pyskl - INFO - Epoch [55][800/1027] lr: 1.764e-02, eta: 10:47:15, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4825, top5_acc: 0.7425, loss_cls: 6.7898, loss: 6.7898 |
| 2025-06-01 17:52:27,662 - pyskl - INFO - Epoch [55][900/1027] lr: 1.761e-02, eta: 10:46:33, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4619, top5_acc: 0.7506, loss_cls: 6.7110, loss: 6.7110 |
| 2025-06-01 17:53:05,770 - pyskl - INFO - Epoch [55][1000/1027] lr: 1.759e-02, eta: 10:45:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4612, top5_acc: 0.7625, loss_cls: 6.7957, loss: 6.7957 |
| 2025-06-01 17:53:16,835 - pyskl - INFO - Saving checkpoint at 55 epochs |
| 2025-06-01 18:12:00,656 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 18:12:00,725 - pyskl - INFO - |
| top1_acc 0.5090 |
| top5_acc 0.8027 |
| 2025-06-01 18:12:00,725 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 18:12:00,731 - pyskl - INFO - |
| mean_acc 0.5133 |
| 2025-06-01 18:12:00,733 - pyskl - INFO - Epoch(val) [55][413] top1_acc: 0.5090, top5_acc: 0.8027, mean_class_accuracy: 0.5133 |
| 2025-06-01 18:13:03,730 - pyskl - INFO - Epoch [56][100/1027] lr: 1.756e-02, eta: 10:45:21, time: 0.630, data_time: 0.246, memory: 7959, top1_acc: 0.5162, top5_acc: 0.7831, loss_cls: 6.3809, loss: 6.3809 |
| 2025-06-01 18:13:41,524 - pyskl - INFO - Epoch [56][200/1027] lr: 1.754e-02, eta: 10:44:38, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7700, loss_cls: 6.5253, loss: 6.5253 |
| 2025-06-01 18:14:18,823 - pyskl - INFO - Epoch [56][300/1027] lr: 1.751e-02, eta: 10:43:54, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4819, top5_acc: 0.7562, loss_cls: 6.6301, loss: 6.6301 |
| 2025-06-01 18:14:57,250 - pyskl - INFO - Epoch [56][400/1027] lr: 1.749e-02, eta: 10:43:12, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4813, top5_acc: 0.7700, loss_cls: 6.5500, loss: 6.5500 |
| 2025-06-01 18:15:35,276 - pyskl - INFO - Epoch [56][500/1027] lr: 1.747e-02, eta: 10:42:30, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4769, top5_acc: 0.7681, loss_cls: 6.5722, loss: 6.5722 |
| 2025-06-01 18:16:13,046 - pyskl - INFO - Epoch [56][600/1027] lr: 1.744e-02, eta: 10:41:47, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4869, top5_acc: 0.7850, loss_cls: 6.5991, loss: 6.5991 |
| 2025-06-01 18:16:50,895 - pyskl - INFO - Epoch [56][700/1027] lr: 1.742e-02, eta: 10:41:04, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7500, loss_cls: 6.6264, loss: 6.6264 |
| 2025-06-01 18:17:28,977 - pyskl - INFO - Epoch [56][800/1027] lr: 1.740e-02, eta: 10:40:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4944, top5_acc: 0.7669, loss_cls: 6.5674, loss: 6.5674 |
| 2025-06-01 18:18:07,192 - pyskl - INFO - Epoch [56][900/1027] lr: 1.737e-02, eta: 10:39:39, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4650, top5_acc: 0.7462, loss_cls: 6.7324, loss: 6.7324 |
| 2025-06-01 18:18:45,403 - pyskl - INFO - Epoch [56][1000/1027] lr: 1.735e-02, eta: 10:38:57, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4881, top5_acc: 0.7688, loss_cls: 6.6198, loss: 6.6198 |
| 2025-06-01 18:18:56,487 - pyskl - INFO - Saving checkpoint at 56 epochs |
| 2025-06-01 18:19:34,033 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 18:19:34,103 - pyskl - INFO - |
| top1_acc 0.4973 |
| top5_acc 0.8089 |
| 2025-06-01 18:19:34,103 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 18:19:34,110 - pyskl - INFO - |
| mean_acc 0.4991 |
| 2025-06-01 18:19:34,112 - pyskl - INFO - Epoch(val) [56][413] top1_acc: 0.4973, top5_acc: 0.8089, mean_class_accuracy: 0.4991 |
| 2025-06-01 18:20:37,719 - pyskl - INFO - Epoch [57][100/1027] lr: 1.732e-02, eta: 10:38:29, time: 0.636, data_time: 0.253, memory: 7959, top1_acc: 0.5094, top5_acc: 0.7719, loss_cls: 6.5450, loss: 6.5450 |
| 2025-06-01 18:21:15,999 - pyskl - INFO - Epoch [57][200/1027] lr: 1.730e-02, eta: 10:37:47, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5062, top5_acc: 0.7925, loss_cls: 6.4524, loss: 6.4524 |
| 2025-06-01 18:21:54,086 - pyskl - INFO - Epoch [57][300/1027] lr: 1.727e-02, eta: 10:37:04, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5062, top5_acc: 0.8063, loss_cls: 6.4274, loss: 6.4274 |
| 2025-06-01 18:22:32,302 - pyskl - INFO - Epoch [57][400/1027] lr: 1.725e-02, eta: 10:36:22, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4950, top5_acc: 0.7800, loss_cls: 6.4970, loss: 6.4970 |
| 2025-06-01 18:23:10,497 - pyskl - INFO - Epoch [57][500/1027] lr: 1.723e-02, eta: 10:35:40, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4831, top5_acc: 0.7650, loss_cls: 6.6715, loss: 6.6715 |
| 2025-06-01 18:23:48,574 - pyskl - INFO - Epoch [57][600/1027] lr: 1.720e-02, eta: 10:34:57, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4894, top5_acc: 0.7669, loss_cls: 6.5887, loss: 6.5887 |
| 2025-06-01 18:24:26,592 - pyskl - INFO - Epoch [57][700/1027] lr: 1.718e-02, eta: 10:34:15, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4850, top5_acc: 0.7606, loss_cls: 6.6676, loss: 6.6676 |
| 2025-06-01 18:25:04,877 - pyskl - INFO - Epoch [57][800/1027] lr: 1.716e-02, eta: 10:33:33, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5056, top5_acc: 0.7881, loss_cls: 6.5392, loss: 6.5392 |
| 2025-06-01 18:25:43,370 - pyskl - INFO - Epoch [57][900/1027] lr: 1.713e-02, eta: 10:32:51, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4919, top5_acc: 0.7538, loss_cls: 6.5863, loss: 6.5863 |
| 2025-06-01 18:26:21,603 - pyskl - INFO - Epoch [57][1000/1027] lr: 1.711e-02, eta: 10:32:09, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7456, loss_cls: 6.8186, loss: 6.8186 |
| 2025-06-01 18:26:32,659 - pyskl - INFO - Saving checkpoint at 57 epochs |
| 2025-06-01 18:27:09,641 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 18:27:09,711 - pyskl - INFO - |
| top1_acc 0.5142 |
| top5_acc 0.8239 |
| 2025-06-01 18:27:09,711 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 18:27:09,719 - pyskl - INFO - |
| mean_acc 0.5153 |
| 2025-06-01 18:27:09,720 - pyskl - INFO - Epoch(val) [57][413] top1_acc: 0.5142, top5_acc: 0.8239, mean_class_accuracy: 0.5153 |
| 2025-06-01 18:28:13,626 - pyskl - INFO - Epoch [58][100/1027] lr: 1.708e-02, eta: 10:31:40, time: 0.639, data_time: 0.255, memory: 7959, top1_acc: 0.5337, top5_acc: 0.7987, loss_cls: 6.2599, loss: 6.2599 |
| 2025-06-01 18:28:51,708 - pyskl - INFO - Epoch [58][200/1027] lr: 1.705e-02, eta: 10:30:58, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.7662, loss_cls: 6.6624, loss: 6.6624 |
| 2025-06-01 18:29:29,642 - pyskl - INFO - Epoch [58][300/1027] lr: 1.703e-02, eta: 10:30:15, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5069, top5_acc: 0.7744, loss_cls: 6.5844, loss: 6.5844 |
| 2025-06-01 18:30:07,774 - pyskl - INFO - Epoch [58][400/1027] lr: 1.701e-02, eta: 10:29:33, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.7850, loss_cls: 6.4699, loss: 6.4699 |
| 2025-06-01 18:30:45,889 - pyskl - INFO - Epoch [58][500/1027] lr: 1.698e-02, eta: 10:28:51, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.7881, loss_cls: 6.6052, loss: 6.6052 |
| 2025-06-01 18:31:23,951 - pyskl - INFO - Epoch [58][600/1027] lr: 1.696e-02, eta: 10:28:08, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4831, top5_acc: 0.7588, loss_cls: 6.6226, loss: 6.6226 |
| 2025-06-01 18:32:01,981 - pyskl - INFO - Epoch [58][700/1027] lr: 1.694e-02, eta: 10:27:26, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7712, loss_cls: 6.6641, loss: 6.6641 |
| 2025-06-01 18:32:40,251 - pyskl - INFO - Epoch [58][800/1027] lr: 1.691e-02, eta: 10:26:44, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5038, top5_acc: 0.7700, loss_cls: 6.4734, loss: 6.4734 |
| 2025-06-01 18:33:18,600 - pyskl - INFO - Epoch [58][900/1027] lr: 1.689e-02, eta: 10:26:02, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4769, top5_acc: 0.7588, loss_cls: 6.6577, loss: 6.6577 |
| 2025-06-01 18:33:56,874 - pyskl - INFO - Epoch [58][1000/1027] lr: 1.686e-02, eta: 10:25:20, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.4788, top5_acc: 0.7775, loss_cls: 6.5418, loss: 6.5418 |
| 2025-06-01 18:34:08,237 - pyskl - INFO - Saving checkpoint at 58 epochs |
| 2025-06-01 18:34:46,103 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 18:34:46,177 - pyskl - INFO - |
| top1_acc 0.5201 |
| top5_acc 0.8238 |
| 2025-06-01 18:34:46,178 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 18:34:46,186 - pyskl - INFO - |
| mean_acc 0.5228 |
| 2025-06-01 18:34:46,245 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_52.pth was removed |
| 2025-06-01 18:34:47,813 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_58.pth. |
| 2025-06-01 18:34:47,815 - pyskl - INFO - Best top1_acc is 0.5201 at 58 epoch. |
| 2025-06-01 18:34:47,818 - pyskl - INFO - Epoch(val) [58][413] top1_acc: 0.5201, top5_acc: 0.8238, mean_class_accuracy: 0.5228 |
| 2025-06-01 18:35:51,968 - pyskl - INFO - Epoch [59][100/1027] lr: 1.683e-02, eta: 10:24:52, time: 0.641, data_time: 0.258, memory: 7959, top1_acc: 0.5038, top5_acc: 0.7775, loss_cls: 6.4232, loss: 6.4232 |
| 2025-06-01 18:36:30,328 - pyskl - INFO - Epoch [59][200/1027] lr: 1.681e-02, eta: 10:24:10, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5062, top5_acc: 0.7844, loss_cls: 6.4797, loss: 6.4797 |
| 2025-06-01 18:37:08,590 - pyskl - INFO - Epoch [59][300/1027] lr: 1.679e-02, eta: 10:23:28, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5050, top5_acc: 0.7750, loss_cls: 6.5465, loss: 6.5465 |
| 2025-06-01 18:37:46,805 - pyskl - INFO - Epoch [59][400/1027] lr: 1.676e-02, eta: 10:22:46, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5062, top5_acc: 0.7881, loss_cls: 6.4529, loss: 6.4529 |
| 2025-06-01 18:38:24,854 - pyskl - INFO - Epoch [59][500/1027] lr: 1.674e-02, eta: 10:22:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5125, top5_acc: 0.7850, loss_cls: 6.5749, loss: 6.5749 |
| 2025-06-01 18:39:02,908 - pyskl - INFO - Epoch [59][600/1027] lr: 1.671e-02, eta: 10:21:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.7725, loss_cls: 6.5212, loss: 6.5212 |
| 2025-06-01 18:39:41,039 - pyskl - INFO - Epoch [59][700/1027] lr: 1.669e-02, eta: 10:20:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.4900, top5_acc: 0.7494, loss_cls: 6.6677, loss: 6.6677 |
| 2025-06-01 18:40:19,236 - pyskl - INFO - Epoch [59][800/1027] lr: 1.667e-02, eta: 10:19:57, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5050, top5_acc: 0.7725, loss_cls: 6.4252, loss: 6.4252 |
| 2025-06-01 18:40:57,846 - pyskl - INFO - Epoch [59][900/1027] lr: 1.664e-02, eta: 10:19:15, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7638, loss_cls: 6.6298, loss: 6.6298 |
| 2025-06-01 18:41:36,231 - pyskl - INFO - Epoch [59][1000/1027] lr: 1.662e-02, eta: 10:18:34, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.4763, top5_acc: 0.7762, loss_cls: 6.5883, loss: 6.5883 |
| 2025-06-01 18:41:47,639 - pyskl - INFO - Saving checkpoint at 59 epochs |
| 2025-06-01 18:42:25,478 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 18:42:25,549 - pyskl - INFO - |
| top1_acc 0.5384 |
| top5_acc 0.8377 |
| 2025-06-01 18:42:25,550 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 18:42:25,558 - pyskl - INFO - |
| mean_acc 0.5446 |
| 2025-06-01 18:42:25,616 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_58.pth was removed |
| 2025-06-01 18:42:27,164 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_59.pth. |
| 2025-06-01 18:42:27,166 - pyskl - INFO - Best top1_acc is 0.5384 at 59 epoch. |
| 2025-06-01 18:42:27,168 - pyskl - INFO - Epoch(val) [59][413] top1_acc: 0.5384, top5_acc: 0.8377, mean_class_accuracy: 0.5446 |
| 2025-06-01 18:43:30,303 - pyskl - INFO - Epoch [60][100/1027] lr: 1.659e-02, eta: 10:18:03, time: 0.631, data_time: 0.254, memory: 7959, top1_acc: 0.5188, top5_acc: 0.8056, loss_cls: 6.2358, loss: 6.2358 |
| 2025-06-01 18:44:08,418 - pyskl - INFO - Epoch [60][200/1027] lr: 1.656e-02, eta: 10:17:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5200, top5_acc: 0.7956, loss_cls: 6.3961, loss: 6.3961 |
| 2025-06-01 18:44:46,550 - pyskl - INFO - Epoch [60][300/1027] lr: 1.654e-02, eta: 10:16:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5188, top5_acc: 0.7925, loss_cls: 6.4247, loss: 6.4247 |
| 2025-06-01 18:45:24,636 - pyskl - INFO - Epoch [60][400/1027] lr: 1.651e-02, eta: 10:15:56, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5069, top5_acc: 0.7662, loss_cls: 6.5537, loss: 6.5537 |
| 2025-06-01 18:46:02,625 - pyskl - INFO - Epoch [60][500/1027] lr: 1.649e-02, eta: 10:15:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7744, loss_cls: 6.6557, loss: 6.6557 |
| 2025-06-01 18:46:40,516 - pyskl - INFO - Epoch [60][600/1027] lr: 1.647e-02, eta: 10:14:31, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.4894, top5_acc: 0.7769, loss_cls: 6.5962, loss: 6.5962 |
| 2025-06-01 18:47:18,560 - pyskl - INFO - Epoch [60][700/1027] lr: 1.644e-02, eta: 10:13:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5056, top5_acc: 0.7738, loss_cls: 6.5932, loss: 6.5932 |
| 2025-06-01 18:47:56,775 - pyskl - INFO - Epoch [60][800/1027] lr: 1.642e-02, eta: 10:13:07, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5075, top5_acc: 0.7844, loss_cls: 6.4554, loss: 6.4554 |
| 2025-06-01 18:48:35,170 - pyskl - INFO - Epoch [60][900/1027] lr: 1.639e-02, eta: 10:12:25, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.7712, loss_cls: 6.4782, loss: 6.4782 |
| 2025-06-01 18:49:13,564 - pyskl - INFO - Epoch [60][1000/1027] lr: 1.637e-02, eta: 10:11:44, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5175, top5_acc: 0.7694, loss_cls: 6.5342, loss: 6.5342 |
| 2025-06-01 18:49:24,684 - pyskl - INFO - Saving checkpoint at 60 epochs |
| 2025-06-01 19:10:36,194 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 19:10:36,262 - pyskl - INFO - |
| top1_acc 0.5339 |
| top5_acc 0.8391 |
| 2025-06-01 19:10:36,262 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 19:10:36,269 - pyskl - INFO - |
| mean_acc 0.5348 |
| 2025-06-01 19:10:36,271 - pyskl - INFO - Epoch(val) [60][413] top1_acc: 0.5339, top5_acc: 0.8391, mean_class_accuracy: 0.5348 |
| 2025-06-01 19:11:38,877 - pyskl - INFO - Epoch [61][100/1027] lr: 1.634e-02, eta: 10:11:12, time: 0.626, data_time: 0.248, memory: 7959, top1_acc: 0.5363, top5_acc: 0.8137, loss_cls: 6.2350, loss: 6.2350 |
| 2025-06-01 19:12:16,641 - pyskl - INFO - Epoch [61][200/1027] lr: 1.631e-02, eta: 10:10:29, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5188, top5_acc: 0.8000, loss_cls: 6.4067, loss: 6.4067 |
| 2025-06-01 19:12:54,471 - pyskl - INFO - Epoch [61][300/1027] lr: 1.629e-02, eta: 10:09:46, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4875, top5_acc: 0.7681, loss_cls: 6.4846, loss: 6.4846 |
| 2025-06-01 19:13:32,261 - pyskl - INFO - Epoch [61][400/1027] lr: 1.627e-02, eta: 10:09:04, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7781, loss_cls: 6.5161, loss: 6.5161 |
| 2025-06-01 19:14:09,952 - pyskl - INFO - Epoch [61][500/1027] lr: 1.624e-02, eta: 10:08:21, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5062, top5_acc: 0.7819, loss_cls: 6.5679, loss: 6.5679 |
| 2025-06-01 19:14:47,638 - pyskl - INFO - Epoch [61][600/1027] lr: 1.622e-02, eta: 10:07:39, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4731, top5_acc: 0.7700, loss_cls: 6.6486, loss: 6.6486 |
| 2025-06-01 19:15:25,375 - pyskl - INFO - Epoch [61][700/1027] lr: 1.619e-02, eta: 10:06:56, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4944, top5_acc: 0.7706, loss_cls: 6.6388, loss: 6.6388 |
| 2025-06-01 19:16:03,647 - pyskl - INFO - Epoch [61][800/1027] lr: 1.617e-02, eta: 10:06:14, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5306, top5_acc: 0.7863, loss_cls: 6.3786, loss: 6.3786 |
| 2025-06-01 19:16:42,155 - pyskl - INFO - Epoch [61][900/1027] lr: 1.614e-02, eta: 10:05:33, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5075, top5_acc: 0.7800, loss_cls: 6.5157, loss: 6.5157 |
| 2025-06-01 19:17:20,672 - pyskl - INFO - Epoch [61][1000/1027] lr: 1.612e-02, eta: 10:04:51, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.4913, top5_acc: 0.7837, loss_cls: 6.4557, loss: 6.4557 |
| 2025-06-01 19:17:31,896 - pyskl - INFO - Saving checkpoint at 61 epochs |
| 2025-06-01 19:18:09,288 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 19:18:09,358 - pyskl - INFO - |
| top1_acc 0.5011 |
| top5_acc 0.8189 |
| 2025-06-01 19:18:09,358 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 19:18:09,365 - pyskl - INFO - |
| mean_acc 0.4978 |
| 2025-06-01 19:18:09,366 - pyskl - INFO - Epoch(val) [61][413] top1_acc: 0.5011, top5_acc: 0.8189, mean_class_accuracy: 0.4978 |
| 2025-06-01 19:19:12,861 - pyskl - INFO - Epoch [62][100/1027] lr: 1.609e-02, eta: 10:04:20, time: 0.635, data_time: 0.255, memory: 7959, top1_acc: 0.5181, top5_acc: 0.7981, loss_cls: 6.3557, loss: 6.3557 |
| 2025-06-01 19:19:51,071 - pyskl - INFO - Epoch [62][200/1027] lr: 1.606e-02, eta: 10:03:38, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5169, top5_acc: 0.7756, loss_cls: 6.5075, loss: 6.5075 |
| 2025-06-01 19:20:29,345 - pyskl - INFO - Epoch [62][300/1027] lr: 1.604e-02, eta: 10:02:56, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5294, top5_acc: 0.7762, loss_cls: 6.5171, loss: 6.5171 |
| 2025-06-01 19:21:07,459 - pyskl - INFO - Epoch [62][400/1027] lr: 1.602e-02, eta: 10:02:14, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5025, top5_acc: 0.7881, loss_cls: 6.4187, loss: 6.4187 |
| 2025-06-01 19:21:45,514 - pyskl - INFO - Epoch [62][500/1027] lr: 1.599e-02, eta: 10:01:32, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5281, top5_acc: 0.8000, loss_cls: 6.3234, loss: 6.3234 |
| 2025-06-01 19:22:23,632 - pyskl - INFO - Epoch [62][600/1027] lr: 1.597e-02, eta: 10:00:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5294, top5_acc: 0.7881, loss_cls: 6.3732, loss: 6.3732 |
| 2025-06-01 19:23:02,439 - pyskl - INFO - Epoch [62][700/1027] lr: 1.594e-02, eta: 10:00:09, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5169, top5_acc: 0.7863, loss_cls: 6.4736, loss: 6.4736 |
| 2025-06-01 19:23:41,174 - pyskl - INFO - Epoch [62][800/1027] lr: 1.592e-02, eta: 9:59:28, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.4888, top5_acc: 0.7725, loss_cls: 6.5119, loss: 6.5119 |
| 2025-06-01 19:24:19,805 - pyskl - INFO - Epoch [62][900/1027] lr: 1.589e-02, eta: 9:58:47, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5062, top5_acc: 0.7819, loss_cls: 6.4485, loss: 6.4485 |
| 2025-06-01 19:24:58,502 - pyskl - INFO - Epoch [62][1000/1027] lr: 1.587e-02, eta: 9:58:06, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7913, loss_cls: 6.3560, loss: 6.3560 |
| 2025-06-01 19:25:09,992 - pyskl - INFO - Saving checkpoint at 62 epochs |
| 2025-06-01 19:25:46,912 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 19:25:46,982 - pyskl - INFO - |
| top1_acc 0.5077 |
| top5_acc 0.8136 |
| 2025-06-01 19:25:46,983 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 19:25:46,990 - pyskl - INFO - |
| mean_acc 0.5124 |
| 2025-06-01 19:25:46,991 - pyskl - INFO - Epoch(val) [62][413] top1_acc: 0.5077, top5_acc: 0.8136, mean_class_accuracy: 0.5124 |
| 2025-06-01 19:26:50,978 - pyskl - INFO - Epoch [63][100/1027] lr: 1.584e-02, eta: 9:57:35, time: 0.640, data_time: 0.258, memory: 7959, top1_acc: 0.5456, top5_acc: 0.8094, loss_cls: 6.2566, loss: 6.2566 |
| 2025-06-01 19:27:29,230 - pyskl - INFO - Epoch [63][200/1027] lr: 1.581e-02, eta: 9:56:53, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8106, loss_cls: 6.1869, loss: 6.1869 |
| 2025-06-01 19:28:07,365 - pyskl - INFO - Epoch [63][300/1027] lr: 1.579e-02, eta: 9:56:11, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5212, top5_acc: 0.7750, loss_cls: 6.4219, loss: 6.4219 |
| 2025-06-01 19:28:45,483 - pyskl - INFO - Epoch [63][400/1027] lr: 1.576e-02, eta: 9:55:29, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5169, top5_acc: 0.7775, loss_cls: 6.3551, loss: 6.3551 |
| 2025-06-01 19:29:23,563 - pyskl - INFO - Epoch [63][500/1027] lr: 1.574e-02, eta: 9:54:47, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5138, top5_acc: 0.7712, loss_cls: 6.5489, loss: 6.5489 |
| 2025-06-01 19:30:01,648 - pyskl - INFO - Epoch [63][600/1027] lr: 1.571e-02, eta: 9:54:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5150, top5_acc: 0.7794, loss_cls: 6.4121, loss: 6.4121 |
| 2025-06-01 19:30:39,821 - pyskl - INFO - Epoch [63][700/1027] lr: 1.569e-02, eta: 9:53:23, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4881, top5_acc: 0.7769, loss_cls: 6.4789, loss: 6.4789 |
| 2025-06-01 19:31:18,143 - pyskl - INFO - Epoch [63][800/1027] lr: 1.566e-02, eta: 9:52:41, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5169, top5_acc: 0.8000, loss_cls: 6.3884, loss: 6.3884 |
| 2025-06-01 19:31:56,611 - pyskl - INFO - Epoch [63][900/1027] lr: 1.564e-02, eta: 9:52:00, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5094, top5_acc: 0.7731, loss_cls: 6.5094, loss: 6.5094 |
| 2025-06-01 19:32:35,444 - pyskl - INFO - Epoch [63][1000/1027] lr: 1.562e-02, eta: 9:51:19, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5231, top5_acc: 0.7756, loss_cls: 6.4931, loss: 6.4931 |
| 2025-06-01 19:32:46,956 - pyskl - INFO - Saving checkpoint at 63 epochs |
| 2025-06-01 19:33:24,141 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 19:33:24,211 - pyskl - INFO - |
| top1_acc 0.5019 |
| top5_acc 0.8197 |
| 2025-06-01 19:33:24,212 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 19:33:24,219 - pyskl - INFO - |
| mean_acc 0.5013 |
| 2025-06-01 19:33:24,221 - pyskl - INFO - Epoch(val) [63][413] top1_acc: 0.5019, top5_acc: 0.8197, mean_class_accuracy: 0.5013 |
| 2025-06-01 19:34:28,064 - pyskl - INFO - Epoch [64][100/1027] lr: 1.558e-02, eta: 9:50:47, time: 0.638, data_time: 0.255, memory: 7959, top1_acc: 0.5637, top5_acc: 0.8069, loss_cls: 6.2299, loss: 6.2299 |
| 2025-06-01 19:35:06,170 - pyskl - INFO - Epoch [64][200/1027] lr: 1.556e-02, eta: 9:50:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5306, top5_acc: 0.7937, loss_cls: 6.3634, loss: 6.3634 |
| 2025-06-01 19:35:44,386 - pyskl - INFO - Epoch [64][300/1027] lr: 1.553e-02, eta: 9:49:23, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5437, top5_acc: 0.8050, loss_cls: 6.2428, loss: 6.2428 |
| 2025-06-01 19:36:23,049 - pyskl - INFO - Epoch [64][400/1027] lr: 1.551e-02, eta: 9:48:42, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.7712, loss_cls: 6.4546, loss: 6.4546 |
| 2025-06-01 19:37:01,701 - pyskl - INFO - Epoch [64][500/1027] lr: 1.549e-02, eta: 9:48:01, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5131, top5_acc: 0.7744, loss_cls: 6.4132, loss: 6.4132 |
| 2025-06-01 19:37:40,333 - pyskl - INFO - Epoch [64][600/1027] lr: 1.546e-02, eta: 9:47:20, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5075, top5_acc: 0.7937, loss_cls: 6.3287, loss: 6.3287 |
| 2025-06-01 19:38:18,851 - pyskl - INFO - Epoch [64][700/1027] lr: 1.544e-02, eta: 9:46:39, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5138, top5_acc: 0.7794, loss_cls: 6.3809, loss: 6.3809 |
| 2025-06-01 19:38:57,065 - pyskl - INFO - Epoch [64][800/1027] lr: 1.541e-02, eta: 9:45:57, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.7775, loss_cls: 6.5151, loss: 6.5151 |
| 2025-06-01 19:39:35,116 - pyskl - INFO - Epoch [64][900/1027] lr: 1.539e-02, eta: 9:45:15, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5131, top5_acc: 0.7831, loss_cls: 6.4563, loss: 6.4563 |
| 2025-06-01 19:40:13,715 - pyskl - INFO - Epoch [64][1000/1027] lr: 1.536e-02, eta: 9:44:34, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5275, top5_acc: 0.7894, loss_cls: 6.4026, loss: 6.4026 |
| 2025-06-01 19:40:25,003 - pyskl - INFO - Saving checkpoint at 64 epochs |
| 2025-06-01 19:41:02,289 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 19:41:02,362 - pyskl - INFO - |
| top1_acc 0.5257 |
| top5_acc 0.8298 |
| 2025-06-01 19:41:02,362 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 19:41:02,371 - pyskl - INFO - |
| mean_acc 0.5307 |
| 2025-06-01 19:41:02,372 - pyskl - INFO - Epoch(val) [64][413] top1_acc: 0.5257, top5_acc: 0.8298, mean_class_accuracy: 0.5307 |
| 2025-06-01 19:42:08,549 - pyskl - INFO - Epoch [65][100/1027] lr: 1.533e-02, eta: 9:44:05, time: 0.662, data_time: 0.280, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8037, loss_cls: 6.1898, loss: 6.1898 |
| 2025-06-01 19:42:46,861 - pyskl - INFO - Epoch [65][200/1027] lr: 1.530e-02, eta: 9:43:23, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5406, top5_acc: 0.7975, loss_cls: 6.2102, loss: 6.2102 |
| 2025-06-01 19:43:25,041 - pyskl - INFO - Epoch [65][300/1027] lr: 1.528e-02, eta: 9:42:41, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5212, top5_acc: 0.7850, loss_cls: 6.4050, loss: 6.4050 |
| 2025-06-01 19:44:03,217 - pyskl - INFO - Epoch [65][400/1027] lr: 1.526e-02, eta: 9:41:59, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8006, loss_cls: 6.3206, loss: 6.3206 |
| 2025-06-01 19:44:41,220 - pyskl - INFO - Epoch [65][500/1027] lr: 1.523e-02, eta: 9:41:17, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5306, top5_acc: 0.7987, loss_cls: 6.2674, loss: 6.2674 |
| 2025-06-01 19:45:19,305 - pyskl - INFO - Epoch [65][600/1027] lr: 1.521e-02, eta: 9:40:35, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5456, top5_acc: 0.7913, loss_cls: 6.3012, loss: 6.3012 |
| 2025-06-01 19:45:57,594 - pyskl - INFO - Epoch [65][700/1027] lr: 1.518e-02, eta: 9:39:54, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5156, top5_acc: 0.7931, loss_cls: 6.3657, loss: 6.3657 |
| 2025-06-01 19:46:36,095 - pyskl - INFO - Epoch [65][800/1027] lr: 1.516e-02, eta: 9:39:13, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5100, top5_acc: 0.7756, loss_cls: 6.5038, loss: 6.5038 |
| 2025-06-01 19:47:14,940 - pyskl - INFO - Epoch [65][900/1027] lr: 1.513e-02, eta: 9:38:32, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.7919, loss_cls: 6.3478, loss: 6.3478 |
| 2025-06-01 19:47:53,383 - pyskl - INFO - Epoch [65][1000/1027] lr: 1.511e-02, eta: 9:37:50, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5181, top5_acc: 0.7863, loss_cls: 6.5186, loss: 6.5186 |
| 2025-06-01 19:48:04,563 - pyskl - INFO - Saving checkpoint at 65 epochs |
| 2025-06-01 20:06:51,165 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 20:06:51,235 - pyskl - INFO - |
| top1_acc 0.5427 |
| top5_acc 0.8442 |
| 2025-06-01 20:06:51,235 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 20:06:51,243 - pyskl - INFO - |
| mean_acc 0.5445 |
| 2025-06-01 20:06:51,298 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_59.pth was removed |
| 2025-06-01 20:06:52,850 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. |
| 2025-06-01 20:06:52,852 - pyskl - INFO - Best top1_acc is 0.5427 at 65 epoch. |
| 2025-06-01 20:06:52,855 - pyskl - INFO - Epoch(val) [65][413] top1_acc: 0.5427, top5_acc: 0.8442, mean_class_accuracy: 0.5445 |
| 2025-06-01 20:07:55,045 - pyskl - INFO - Epoch [66][100/1027] lr: 1.507e-02, eta: 9:37:15, time: 0.622, data_time: 0.247, memory: 7959, top1_acc: 0.5537, top5_acc: 0.8187, loss_cls: 6.1602, loss: 6.1602 |
| 2025-06-01 20:08:33,058 - pyskl - INFO - Epoch [66][200/1027] lr: 1.505e-02, eta: 9:36:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5619, top5_acc: 0.8169, loss_cls: 6.1807, loss: 6.1807 |
| 2025-06-01 20:09:10,934 - pyskl - INFO - Epoch [66][300/1027] lr: 1.502e-02, eta: 9:35:51, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.7894, loss_cls: 6.2706, loss: 6.2706 |
| 2025-06-01 20:09:48,703 - pyskl - INFO - Epoch [66][400/1027] lr: 1.500e-02, eta: 9:35:09, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5387, top5_acc: 0.7956, loss_cls: 6.2848, loss: 6.2848 |
| 2025-06-01 20:10:26,482 - pyskl - INFO - Epoch [66][500/1027] lr: 1.497e-02, eta: 9:34:27, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5463, top5_acc: 0.7969, loss_cls: 6.2524, loss: 6.2524 |
| 2025-06-01 20:11:04,285 - pyskl - INFO - Epoch [66][600/1027] lr: 1.495e-02, eta: 9:33:45, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.8006, loss_cls: 6.3468, loss: 6.3468 |
| 2025-06-01 20:11:42,113 - pyskl - INFO - Epoch [66][700/1027] lr: 1.492e-02, eta: 9:33:03, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5081, top5_acc: 0.7906, loss_cls: 6.5060, loss: 6.5060 |
| 2025-06-01 20:12:19,890 - pyskl - INFO - Epoch [66][800/1027] lr: 1.490e-02, eta: 9:32:20, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5100, top5_acc: 0.7788, loss_cls: 6.3808, loss: 6.3808 |
| 2025-06-01 20:12:57,922 - pyskl - INFO - Epoch [66][900/1027] lr: 1.487e-02, eta: 9:31:38, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.7906, loss_cls: 6.2797, loss: 6.2797 |
| 2025-06-01 20:13:36,242 - pyskl - INFO - Epoch [66][1000/1027] lr: 1.485e-02, eta: 9:30:57, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5356, top5_acc: 0.7994, loss_cls: 6.3568, loss: 6.3568 |
| 2025-06-01 20:13:47,487 - pyskl - INFO - Saving checkpoint at 66 epochs |
| 2025-06-01 20:14:25,430 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 20:14:25,501 - pyskl - INFO - |
| top1_acc 0.5296 |
| top5_acc 0.8288 |
| 2025-06-01 20:14:25,502 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 20:14:25,509 - pyskl - INFO - |
| mean_acc 0.5306 |
| 2025-06-01 20:14:25,511 - pyskl - INFO - Epoch(val) [66][413] top1_acc: 0.5296, top5_acc: 0.8288, mean_class_accuracy: 0.5306 |
| 2025-06-01 20:15:29,351 - pyskl - INFO - Epoch [67][100/1027] lr: 1.482e-02, eta: 9:30:24, time: 0.638, data_time: 0.254, memory: 7959, top1_acc: 0.5544, top5_acc: 0.8144, loss_cls: 6.2250, loss: 6.2250 |
| 2025-06-01 20:16:07,662 - pyskl - INFO - Epoch [67][200/1027] lr: 1.479e-02, eta: 9:29:42, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5294, top5_acc: 0.7944, loss_cls: 6.4119, loss: 6.4119 |
| 2025-06-01 20:16:45,954 - pyskl - INFO - Epoch [67][300/1027] lr: 1.477e-02, eta: 9:29:01, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5456, top5_acc: 0.8156, loss_cls: 6.1629, loss: 6.1629 |
| 2025-06-01 20:17:24,182 - pyskl - INFO - Epoch [67][400/1027] lr: 1.474e-02, eta: 9:28:19, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.7850, loss_cls: 6.3604, loss: 6.3604 |
| 2025-06-01 20:18:02,277 - pyskl - INFO - Epoch [67][500/1027] lr: 1.472e-02, eta: 9:27:37, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5363, top5_acc: 0.8044, loss_cls: 6.3211, loss: 6.3211 |
| 2025-06-01 20:18:40,317 - pyskl - INFO - Epoch [67][600/1027] lr: 1.469e-02, eta: 9:26:56, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.7894, loss_cls: 6.3902, loss: 6.3902 |
| 2025-06-01 20:19:18,379 - pyskl - INFO - Epoch [67][700/1027] lr: 1.467e-02, eta: 9:26:14, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8031, loss_cls: 6.3383, loss: 6.3383 |
| 2025-06-01 20:19:56,488 - pyskl - INFO - Epoch [67][800/1027] lr: 1.464e-02, eta: 9:25:32, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5344, top5_acc: 0.8063, loss_cls: 6.2415, loss: 6.2415 |
| 2025-06-01 20:20:35,020 - pyskl - INFO - Epoch [67][900/1027] lr: 1.462e-02, eta: 9:24:51, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5613, top5_acc: 0.7987, loss_cls: 6.2058, loss: 6.2058 |
| 2025-06-01 20:21:13,398 - pyskl - INFO - Epoch [67][1000/1027] lr: 1.459e-02, eta: 9:24:10, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5394, top5_acc: 0.7800, loss_cls: 6.2833, loss: 6.2833 |
| 2025-06-01 20:21:24,689 - pyskl - INFO - Saving checkpoint at 67 epochs |
| 2025-06-01 20:22:02,357 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 20:22:02,447 - pyskl - INFO - |
| top1_acc 0.5042 |
| top5_acc 0.8010 |
| 2025-06-01 20:22:02,448 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 20:22:02,457 - pyskl - INFO - |
| mean_acc 0.5080 |
| 2025-06-01 20:22:02,459 - pyskl - INFO - Epoch(val) [67][413] top1_acc: 0.5042, top5_acc: 0.8010, mean_class_accuracy: 0.5080 |
| 2025-06-01 20:23:06,544 - pyskl - INFO - Epoch [68][100/1027] lr: 1.456e-02, eta: 9:23:36, time: 0.641, data_time: 0.256, memory: 7959, top1_acc: 0.5575, top5_acc: 0.8231, loss_cls: 6.1124, loss: 6.1124 |
| 2025-06-01 20:23:44,870 - pyskl - INFO - Epoch [68][200/1027] lr: 1.453e-02, eta: 9:22:55, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5300, top5_acc: 0.7975, loss_cls: 6.3902, loss: 6.3902 |
| 2025-06-01 20:24:23,208 - pyskl - INFO - Epoch [68][300/1027] lr: 1.451e-02, eta: 9:22:13, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5625, top5_acc: 0.8225, loss_cls: 6.1271, loss: 6.1271 |
| 2025-06-01 20:25:01,434 - pyskl - INFO - Epoch [68][400/1027] lr: 1.448e-02, eta: 9:21:32, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5613, top5_acc: 0.8156, loss_cls: 6.1135, loss: 6.1135 |
| 2025-06-01 20:25:39,827 - pyskl - INFO - Epoch [68][500/1027] lr: 1.446e-02, eta: 9:20:50, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5506, top5_acc: 0.8137, loss_cls: 6.2518, loss: 6.2518 |
| 2025-06-01 20:26:17,992 - pyskl - INFO - Epoch [68][600/1027] lr: 1.443e-02, eta: 9:20:09, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.7931, loss_cls: 6.2511, loss: 6.2511 |
| 2025-06-01 20:26:56,057 - pyskl - INFO - Epoch [68][700/1027] lr: 1.441e-02, eta: 9:19:27, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5444, top5_acc: 0.8025, loss_cls: 6.2272, loss: 6.2272 |
| 2025-06-01 20:27:34,295 - pyskl - INFO - Epoch [68][800/1027] lr: 1.438e-02, eta: 9:18:46, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5281, top5_acc: 0.7944, loss_cls: 6.3171, loss: 6.3171 |
| 2025-06-01 20:28:12,581 - pyskl - INFO - Epoch [68][900/1027] lr: 1.436e-02, eta: 9:18:04, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5437, top5_acc: 0.7981, loss_cls: 6.2519, loss: 6.2519 |
| 2025-06-01 20:28:51,291 - pyskl - INFO - Epoch [68][1000/1027] lr: 1.433e-02, eta: 9:17:23, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5400, top5_acc: 0.7769, loss_cls: 6.3094, loss: 6.3094 |
| 2025-06-01 20:29:02,557 - pyskl - INFO - Saving checkpoint at 68 epochs |
| 2025-06-01 20:29:40,055 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 20:29:40,126 - pyskl - INFO - |
| top1_acc 0.5501 |
| top5_acc 0.8321 |
| 2025-06-01 20:29:40,126 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 20:29:40,133 - pyskl - INFO - |
| mean_acc 0.5522 |
| 2025-06-01 20:29:40,190 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_65.pth was removed |
| 2025-06-01 20:29:41,738 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_68.pth. |
| 2025-06-01 20:29:41,739 - pyskl - INFO - Best top1_acc is 0.5501 at 68 epoch. |
| 2025-06-01 20:29:41,742 - pyskl - INFO - Epoch(val) [68][413] top1_acc: 0.5501, top5_acc: 0.8321, mean_class_accuracy: 0.5522 |
| 2025-06-01 20:30:45,086 - pyskl - INFO - Epoch [69][100/1027] lr: 1.430e-02, eta: 9:16:48, time: 0.633, data_time: 0.251, memory: 7959, top1_acc: 0.5719, top5_acc: 0.8169, loss_cls: 6.0658, loss: 6.0658 |
| 2025-06-01 20:31:23,394 - pyskl - INFO - Epoch [69][200/1027] lr: 1.428e-02, eta: 9:16:07, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8219, loss_cls: 6.1081, loss: 6.1081 |
| 2025-06-01 20:32:01,591 - pyskl - INFO - Epoch [69][300/1027] lr: 1.425e-02, eta: 9:15:25, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8081, loss_cls: 6.2445, loss: 6.2445 |
| 2025-06-01 20:32:39,613 - pyskl - INFO - Epoch [69][400/1027] lr: 1.423e-02, eta: 9:14:44, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5319, top5_acc: 0.8081, loss_cls: 6.2128, loss: 6.2128 |
| 2025-06-01 20:33:17,607 - pyskl - INFO - Epoch [69][500/1027] lr: 1.420e-02, eta: 9:14:02, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5450, top5_acc: 0.8037, loss_cls: 6.2744, loss: 6.2744 |
| 2025-06-01 20:33:55,473 - pyskl - INFO - Epoch [69][600/1027] lr: 1.417e-02, eta: 9:13:20, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.8113, loss_cls: 6.2462, loss: 6.2462 |
| 2025-06-01 20:34:33,344 - pyskl - INFO - Epoch [69][700/1027] lr: 1.415e-02, eta: 9:12:38, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.7975, loss_cls: 6.2139, loss: 6.2139 |
| 2025-06-01 20:35:11,268 - pyskl - INFO - Epoch [69][800/1027] lr: 1.412e-02, eta: 9:11:56, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.7975, loss_cls: 6.3109, loss: 6.3109 |
| 2025-06-01 20:35:49,651 - pyskl - INFO - Epoch [69][900/1027] lr: 1.410e-02, eta: 9:11:15, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8037, loss_cls: 6.2663, loss: 6.2663 |
| 2025-06-01 20:36:28,137 - pyskl - INFO - Epoch [69][1000/1027] lr: 1.407e-02, eta: 9:10:34, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.7950, loss_cls: 6.3120, loss: 6.3120 |
| 2025-06-01 20:36:39,424 - pyskl - INFO - Saving checkpoint at 69 epochs |
| 2025-06-01 20:37:16,967 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 20:37:17,037 - pyskl - INFO - |
| top1_acc 0.5414 |
| top5_acc 0.8357 |
| 2025-06-01 20:37:17,038 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 20:37:17,045 - pyskl - INFO - |
| mean_acc 0.5386 |
| 2025-06-01 20:37:17,047 - pyskl - INFO - Epoch(val) [69][413] top1_acc: 0.5414, top5_acc: 0.8357, mean_class_accuracy: 0.5386 |
| 2025-06-01 20:38:20,073 - pyskl - INFO - Epoch [70][100/1027] lr: 1.404e-02, eta: 9:09:58, time: 0.630, data_time: 0.251, memory: 7959, top1_acc: 0.5694, top5_acc: 0.8419, loss_cls: 5.9763, loss: 5.9763 |
| 2025-06-01 20:38:58,222 - pyskl - INFO - Epoch [70][200/1027] lr: 1.402e-02, eta: 9:09:17, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5819, top5_acc: 0.8287, loss_cls: 5.9519, loss: 5.9519 |
| 2025-06-01 20:39:36,351 - pyskl - INFO - Epoch [70][300/1027] lr: 1.399e-02, eta: 9:08:35, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.8144, loss_cls: 6.1723, loss: 6.1723 |
| 2025-06-01 20:40:14,393 - pyskl - INFO - Epoch [70][400/1027] lr: 1.397e-02, eta: 9:07:53, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.7944, loss_cls: 6.2256, loss: 6.2256 |
| 2025-06-01 20:40:52,317 - pyskl - INFO - Epoch [70][500/1027] lr: 1.394e-02, eta: 9:07:12, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5650, top5_acc: 0.8075, loss_cls: 6.0343, loss: 6.0343 |
| 2025-06-01 20:41:30,293 - pyskl - INFO - Epoch [70][600/1027] lr: 1.392e-02, eta: 9:06:30, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5544, top5_acc: 0.8137, loss_cls: 6.2477, loss: 6.2477 |
| 2025-06-01 20:42:08,283 - pyskl - INFO - Epoch [70][700/1027] lr: 1.389e-02, eta: 9:05:48, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.7837, loss_cls: 6.3290, loss: 6.3290 |
| 2025-06-01 20:42:46,275 - pyskl - INFO - Epoch [70][800/1027] lr: 1.386e-02, eta: 9:05:07, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5544, top5_acc: 0.8050, loss_cls: 6.1507, loss: 6.1507 |
| 2025-06-01 20:43:24,671 - pyskl - INFO - Epoch [70][900/1027] lr: 1.384e-02, eta: 9:04:25, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5319, top5_acc: 0.7806, loss_cls: 6.2833, loss: 6.2833 |
| 2025-06-01 20:44:03,111 - pyskl - INFO - Epoch [70][1000/1027] lr: 1.381e-02, eta: 9:03:44, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.8037, loss_cls: 6.1971, loss: 6.1971 |
| 2025-06-01 20:44:14,270 - pyskl - INFO - Saving checkpoint at 70 epochs |
| 2025-06-01 21:05:00,812 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 21:05:00,878 - pyskl - INFO - |
| top1_acc 0.5461 |
| top5_acc 0.8329 |
| 2025-06-01 21:05:00,879 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 21:05:00,885 - pyskl - INFO - |
| mean_acc 0.5530 |
| 2025-06-01 21:05:00,886 - pyskl - INFO - Epoch(val) [70][413] top1_acc: 0.5461, top5_acc: 0.8329, mean_class_accuracy: 0.5530 |
| 2025-06-01 21:06:02,981 - pyskl - INFO - Epoch [71][100/1027] lr: 1.378e-02, eta: 9:03:07, time: 0.621, data_time: 0.245, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8344, loss_cls: 5.9668, loss: 5.9668 |
| 2025-06-01 21:06:40,586 - pyskl - INFO - Epoch [71][200/1027] lr: 1.376e-02, eta: 9:02:25, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5750, top5_acc: 0.8213, loss_cls: 6.0224, loss: 6.0224 |
| 2025-06-01 21:07:18,087 - pyskl - INFO - Epoch [71][300/1027] lr: 1.373e-02, eta: 9:01:43, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5681, top5_acc: 0.8175, loss_cls: 6.1728, loss: 6.1728 |
| 2025-06-01 21:07:55,713 - pyskl - INFO - Epoch [71][400/1027] lr: 1.371e-02, eta: 9:01:01, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5650, top5_acc: 0.8194, loss_cls: 6.1412, loss: 6.1412 |
| 2025-06-01 21:08:33,296 - pyskl - INFO - Epoch [71][500/1027] lr: 1.368e-02, eta: 9:00:19, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.8075, loss_cls: 6.2821, loss: 6.2821 |
| 2025-06-01 21:09:10,878 - pyskl - INFO - Epoch [71][600/1027] lr: 1.365e-02, eta: 8:59:37, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5419, top5_acc: 0.8031, loss_cls: 6.1880, loss: 6.1880 |
| 2025-06-01 21:09:48,573 - pyskl - INFO - Epoch [71][700/1027] lr: 1.363e-02, eta: 8:58:55, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5419, top5_acc: 0.8000, loss_cls: 6.1885, loss: 6.1885 |
| 2025-06-01 21:10:26,822 - pyskl - INFO - Epoch [71][800/1027] lr: 1.360e-02, eta: 8:58:13, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8031, loss_cls: 6.1616, loss: 6.1616 |
| 2025-06-01 21:11:05,121 - pyskl - INFO - Epoch [71][900/1027] lr: 1.358e-02, eta: 8:57:32, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5494, top5_acc: 0.7994, loss_cls: 6.2927, loss: 6.2927 |
| 2025-06-01 21:11:42,926 - pyskl - INFO - Epoch [71][1000/1027] lr: 1.355e-02, eta: 8:56:50, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.8019, loss_cls: 6.3079, loss: 6.3079 |
| 2025-06-01 21:11:53,826 - pyskl - INFO - Saving checkpoint at 71 epochs |
| 2025-06-01 21:12:30,731 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 21:12:30,801 - pyskl - INFO - |
| top1_acc 0.5724 |
| top5_acc 0.8577 |
| 2025-06-01 21:12:30,802 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 21:12:30,809 - pyskl - INFO - |
| mean_acc 0.5770 |
| 2025-06-01 21:12:30,866 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_68.pth was removed |
| 2025-06-01 21:12:32,372 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_71.pth. |
| 2025-06-01 21:12:32,374 - pyskl - INFO - Best top1_acc is 0.5724 at 71 epoch. |
| 2025-06-01 21:12:32,377 - pyskl - INFO - Epoch(val) [71][413] top1_acc: 0.5724, top5_acc: 0.8577, mean_class_accuracy: 0.5770 |
| 2025-06-01 21:13:35,733 - pyskl - INFO - Epoch [72][100/1027] lr: 1.352e-02, eta: 8:56:14, time: 0.634, data_time: 0.252, memory: 7959, top1_acc: 0.6019, top5_acc: 0.8431, loss_cls: 5.7866, loss: 5.7866 |
| 2025-06-01 21:14:13,827 - pyskl - INFO - Epoch [72][200/1027] lr: 1.350e-02, eta: 8:55:33, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8394, loss_cls: 6.0232, loss: 6.0232 |
| 2025-06-01 21:14:51,933 - pyskl - INFO - Epoch [72][300/1027] lr: 1.347e-02, eta: 8:54:51, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5700, top5_acc: 0.8081, loss_cls: 6.1233, loss: 6.1233 |
| 2025-06-01 21:15:29,983 - pyskl - INFO - Epoch [72][400/1027] lr: 1.344e-02, eta: 8:54:10, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5669, top5_acc: 0.8244, loss_cls: 6.1399, loss: 6.1399 |
| 2025-06-01 21:16:07,910 - pyskl - INFO - Epoch [72][500/1027] lr: 1.342e-02, eta: 8:53:28, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5919, top5_acc: 0.8263, loss_cls: 5.8837, loss: 5.8837 |
| 2025-06-01 21:16:45,839 - pyskl - INFO - Epoch [72][600/1027] lr: 1.339e-02, eta: 8:52:47, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5481, top5_acc: 0.8044, loss_cls: 6.1948, loss: 6.1948 |
| 2025-06-01 21:17:24,054 - pyskl - INFO - Epoch [72][700/1027] lr: 1.337e-02, eta: 8:52:05, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5500, top5_acc: 0.8000, loss_cls: 6.1412, loss: 6.1412 |
| 2025-06-01 21:18:02,744 - pyskl - INFO - Epoch [72][800/1027] lr: 1.334e-02, eta: 8:51:24, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5437, top5_acc: 0.8106, loss_cls: 6.1682, loss: 6.1682 |
| 2025-06-01 21:18:41,040 - pyskl - INFO - Epoch [72][900/1027] lr: 1.332e-02, eta: 8:50:43, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5444, top5_acc: 0.8119, loss_cls: 6.1698, loss: 6.1698 |
| 2025-06-01 21:19:19,103 - pyskl - INFO - Epoch [72][1000/1027] lr: 1.329e-02, eta: 8:50:02, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.8081, loss_cls: 6.2698, loss: 6.2698 |
| 2025-06-01 21:19:30,164 - pyskl - INFO - Saving checkpoint at 72 epochs |
| 2025-06-01 21:20:07,068 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 21:20:07,139 - pyskl - INFO - |
| top1_acc 0.5677 |
| top5_acc 0.8450 |
| 2025-06-01 21:20:07,139 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 21:20:07,147 - pyskl - INFO - |
| mean_acc 0.5709 |
| 2025-06-01 21:20:07,148 - pyskl - INFO - Epoch(val) [72][413] top1_acc: 0.5677, top5_acc: 0.8450, mean_class_accuracy: 0.5709 |
| 2025-06-01 21:21:10,776 - pyskl - INFO - Epoch [73][100/1027] lr: 1.326e-02, eta: 8:49:26, time: 0.636, data_time: 0.254, memory: 7959, top1_acc: 0.5894, top5_acc: 0.8337, loss_cls: 6.1143, loss: 6.1143 |
| 2025-06-01 21:21:48,843 - pyskl - INFO - Epoch [73][200/1027] lr: 1.323e-02, eta: 8:48:44, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8244, loss_cls: 5.9197, loss: 5.9197 |
| 2025-06-01 21:22:27,102 - pyskl - INFO - Epoch [73][300/1027] lr: 1.321e-02, eta: 8:48:03, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8369, loss_cls: 5.8904, loss: 5.8904 |
| 2025-06-01 21:23:05,343 - pyskl - INFO - Epoch [73][400/1027] lr: 1.318e-02, eta: 8:47:22, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8175, loss_cls: 6.1059, loss: 6.1059 |
| 2025-06-01 21:23:43,308 - pyskl - INFO - Epoch [73][500/1027] lr: 1.316e-02, eta: 8:46:40, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5644, top5_acc: 0.8081, loss_cls: 6.0649, loss: 6.0649 |
| 2025-06-01 21:24:21,214 - pyskl - INFO - Epoch [73][600/1027] lr: 1.313e-02, eta: 8:45:59, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5544, top5_acc: 0.8144, loss_cls: 6.0614, loss: 6.0614 |
| 2025-06-01 21:24:59,620 - pyskl - INFO - Epoch [73][700/1027] lr: 1.311e-02, eta: 8:45:17, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5450, top5_acc: 0.7956, loss_cls: 6.2686, loss: 6.2686 |
| 2025-06-01 21:25:38,296 - pyskl - INFO - Epoch [73][800/1027] lr: 1.308e-02, eta: 8:44:37, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5806, top5_acc: 0.8269, loss_cls: 6.0387, loss: 6.0387 |
| 2025-06-01 21:26:16,541 - pyskl - INFO - Epoch [73][900/1027] lr: 1.306e-02, eta: 8:43:55, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8200, loss_cls: 6.0691, loss: 6.0691 |
| 2025-06-01 21:26:54,733 - pyskl - INFO - Epoch [73][1000/1027] lr: 1.303e-02, eta: 8:43:14, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8037, loss_cls: 6.1004, loss: 6.1004 |
| 2025-06-01 21:27:05,812 - pyskl - INFO - Saving checkpoint at 73 epochs |
| 2025-06-01 21:27:42,958 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 21:27:43,028 - pyskl - INFO - |
| top1_acc 0.5411 |
| top5_acc 0.8383 |
| 2025-06-01 21:27:43,028 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 21:27:43,036 - pyskl - INFO - |
| mean_acc 0.5435 |
| 2025-06-01 21:27:43,037 - pyskl - INFO - Epoch(val) [73][413] top1_acc: 0.5411, top5_acc: 0.8383, mean_class_accuracy: 0.5435 |
| 2025-06-01 21:28:46,540 - pyskl - INFO - Epoch [74][100/1027] lr: 1.300e-02, eta: 8:42:38, time: 0.635, data_time: 0.257, memory: 7959, top1_acc: 0.5938, top5_acc: 0.8444, loss_cls: 6.0225, loss: 6.0225 |
| 2025-06-01 21:29:24,795 - pyskl - INFO - Epoch [74][200/1027] lr: 1.297e-02, eta: 8:41:56, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5938, top5_acc: 0.8131, loss_cls: 6.0212, loss: 6.0212 |
| 2025-06-01 21:30:02,986 - pyskl - INFO - Epoch [74][300/1027] lr: 1.295e-02, eta: 8:41:15, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5863, top5_acc: 0.8387, loss_cls: 5.8881, loss: 5.8881 |
| 2025-06-01 21:30:41,029 - pyskl - INFO - Epoch [74][400/1027] lr: 1.292e-02, eta: 8:40:34, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8250, loss_cls: 5.9185, loss: 5.9185 |
| 2025-06-01 21:31:19,045 - pyskl - INFO - Epoch [74][500/1027] lr: 1.290e-02, eta: 8:39:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5706, top5_acc: 0.8319, loss_cls: 6.0511, loss: 6.0511 |
| 2025-06-01 21:31:57,089 - pyskl - INFO - Epoch [74][600/1027] lr: 1.287e-02, eta: 8:39:11, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5813, top5_acc: 0.8219, loss_cls: 5.9259, loss: 5.9259 |
| 2025-06-01 21:32:35,292 - pyskl - INFO - Epoch [74][700/1027] lr: 1.285e-02, eta: 8:38:30, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8131, loss_cls: 6.0696, loss: 6.0696 |
| 2025-06-01 21:33:13,780 - pyskl - INFO - Epoch [74][800/1027] lr: 1.282e-02, eta: 8:37:49, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5781, top5_acc: 0.8181, loss_cls: 6.0919, loss: 6.0919 |
| 2025-06-01 21:33:52,226 - pyskl - INFO - Epoch [74][900/1027] lr: 1.279e-02, eta: 8:37:08, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.8113, loss_cls: 6.1968, loss: 6.1968 |
| 2025-06-01 21:34:30,347 - pyskl - INFO - Epoch [74][1000/1027] lr: 1.277e-02, eta: 8:36:26, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5500, top5_acc: 0.8181, loss_cls: 6.1460, loss: 6.1460 |
| 2025-06-01 21:34:41,406 - pyskl - INFO - Saving checkpoint at 74 epochs |
| 2025-06-01 21:35:18,696 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 21:35:18,766 - pyskl - INFO - |
| top1_acc 0.5557 |
| top5_acc 0.8412 |
| 2025-06-01 21:35:18,766 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 21:35:18,774 - pyskl - INFO - |
| mean_acc 0.5592 |
| 2025-06-01 21:35:18,775 - pyskl - INFO - Epoch(val) [74][413] top1_acc: 0.5557, top5_acc: 0.8412, mean_class_accuracy: 0.5592 |
| 2025-06-01 21:36:22,380 - pyskl - INFO - Epoch [75][100/1027] lr: 1.274e-02, eta: 8:35:49, time: 0.636, data_time: 0.253, memory: 7959, top1_acc: 0.6238, top5_acc: 0.8531, loss_cls: 5.7647, loss: 5.7647 |
| 2025-06-01 21:37:00,631 - pyskl - INFO - Epoch [75][200/1027] lr: 1.271e-02, eta: 8:35:08, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6156, top5_acc: 0.8344, loss_cls: 5.9052, loss: 5.9052 |
| 2025-06-01 21:37:38,763 - pyskl - INFO - Epoch [75][300/1027] lr: 1.269e-02, eta: 8:34:27, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5975, top5_acc: 0.8425, loss_cls: 5.8455, loss: 5.8455 |
| 2025-06-01 21:38:16,925 - pyskl - INFO - Epoch [75][400/1027] lr: 1.266e-02, eta: 8:33:46, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8413, loss_cls: 5.8844, loss: 5.8844 |
| 2025-06-01 21:38:54,938 - pyskl - INFO - Epoch [75][500/1027] lr: 1.263e-02, eta: 8:33:04, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8187, loss_cls: 6.0145, loss: 6.0145 |
| 2025-06-01 21:39:32,936 - pyskl - INFO - Epoch [75][600/1027] lr: 1.261e-02, eta: 8:32:23, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5713, top5_acc: 0.8263, loss_cls: 5.9478, loss: 5.9478 |
| 2025-06-01 21:40:11,200 - pyskl - INFO - Epoch [75][700/1027] lr: 1.258e-02, eta: 8:31:42, time: 0.383, data_time: 0.001, memory: 7959, top1_acc: 0.5850, top5_acc: 0.8281, loss_cls: 5.9789, loss: 5.9789 |
| 2025-06-01 21:40:49,760 - pyskl - INFO - Epoch [75][800/1027] lr: 1.256e-02, eta: 8:31:01, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8106, loss_cls: 6.0269, loss: 6.0269 |
| 2025-06-01 21:41:28,505 - pyskl - INFO - Epoch [75][900/1027] lr: 1.253e-02, eta: 8:30:20, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5644, top5_acc: 0.8050, loss_cls: 6.2082, loss: 6.2082 |
| 2025-06-01 21:42:06,769 - pyskl - INFO - Epoch [75][1000/1027] lr: 1.251e-02, eta: 8:29:39, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.5600, top5_acc: 0.8113, loss_cls: 6.1550, loss: 6.1550 |
| 2025-06-01 21:42:17,779 - pyskl - INFO - Saving checkpoint at 75 epochs |
| 2025-06-01 22:02:09,771 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 22:02:09,838 - pyskl - INFO - |
| top1_acc 0.5443 |
| top5_acc 0.8368 |
| 2025-06-01 22:02:09,839 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 22:02:09,845 - pyskl - INFO - |
| mean_acc 0.5476 |
| 2025-06-01 22:02:09,846 - pyskl - INFO - Epoch(val) [75][413] top1_acc: 0.5443, top5_acc: 0.8368, mean_class_accuracy: 0.5476 |
| 2025-06-01 22:03:12,128 - pyskl - INFO - Epoch [76][100/1027] lr: 1.247e-02, eta: 8:29:01, time: 0.623, data_time: 0.245, memory: 7959, top1_acc: 0.6112, top5_acc: 0.8337, loss_cls: 5.7892, loss: 5.7892 |
| 2025-06-01 22:03:49,616 - pyskl - INFO - Epoch [76][200/1027] lr: 1.245e-02, eta: 8:28:19, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5925, top5_acc: 0.8350, loss_cls: 5.8160, loss: 5.8160 |
| 2025-06-01 22:04:26,979 - pyskl - INFO - Epoch [76][300/1027] lr: 1.242e-02, eta: 8:27:37, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5913, top5_acc: 0.8462, loss_cls: 5.9784, loss: 5.9784 |
| 2025-06-01 22:05:04,628 - pyskl - INFO - Epoch [76][400/1027] lr: 1.240e-02, eta: 8:26:55, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8481, loss_cls: 5.8782, loss: 5.8782 |
| 2025-06-01 22:05:42,143 - pyskl - INFO - Epoch [76][500/1027] lr: 1.237e-02, eta: 8:26:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8381, loss_cls: 5.9587, loss: 5.9587 |
| 2025-06-01 22:06:19,674 - pyskl - INFO - Epoch [76][600/1027] lr: 1.235e-02, eta: 8:25:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5856, top5_acc: 0.8363, loss_cls: 5.9817, loss: 5.9817 |
| 2025-06-01 22:06:57,207 - pyskl - INFO - Epoch [76][700/1027] lr: 1.232e-02, eta: 8:24:49, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5706, top5_acc: 0.8131, loss_cls: 6.0747, loss: 6.0747 |
| 2025-06-01 22:07:35,097 - pyskl - INFO - Epoch [76][800/1027] lr: 1.230e-02, eta: 8:24:08, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5613, top5_acc: 0.8069, loss_cls: 6.0923, loss: 6.0923 |
| 2025-06-01 22:08:13,312 - pyskl - INFO - Epoch [76][900/1027] lr: 1.227e-02, eta: 8:23:27, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5513, top5_acc: 0.8119, loss_cls: 6.2580, loss: 6.2580 |
| 2025-06-01 22:08:51,240 - pyskl - INFO - Epoch [76][1000/1027] lr: 1.225e-02, eta: 8:22:46, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5769, top5_acc: 0.8256, loss_cls: 6.0024, loss: 6.0024 |
| 2025-06-01 22:09:02,212 - pyskl - INFO - Saving checkpoint at 76 epochs |
| 2025-06-01 22:09:39,279 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 22:09:39,350 - pyskl - INFO - |
| top1_acc 0.5637 |
| top5_acc 0.8377 |
| 2025-06-01 22:09:39,350 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 22:09:39,358 - pyskl - INFO - |
| mean_acc 0.5663 |
| 2025-06-01 22:09:39,359 - pyskl - INFO - Epoch(val) [76][413] top1_acc: 0.5637, top5_acc: 0.8377, mean_class_accuracy: 0.5663 |
| 2025-06-01 22:10:43,000 - pyskl - INFO - Epoch [77][100/1027] lr: 1.221e-02, eta: 8:22:08, time: 0.636, data_time: 0.252, memory: 7959, top1_acc: 0.6100, top5_acc: 0.8419, loss_cls: 5.9121, loss: 5.9121 |
| 2025-06-01 22:11:21,109 - pyskl - INFO - Epoch [77][200/1027] lr: 1.219e-02, eta: 8:21:27, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6125, top5_acc: 0.8400, loss_cls: 5.7249, loss: 5.7249 |
| 2025-06-01 22:11:59,259 - pyskl - INFO - Epoch [77][300/1027] lr: 1.216e-02, eta: 8:20:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5850, top5_acc: 0.8256, loss_cls: 6.0068, loss: 6.0068 |
| 2025-06-01 22:12:37,307 - pyskl - INFO - Epoch [77][400/1027] lr: 1.214e-02, eta: 8:20:04, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6056, top5_acc: 0.8306, loss_cls: 5.9023, loss: 5.9023 |
| 2025-06-01 22:13:15,290 - pyskl - INFO - Epoch [77][500/1027] lr: 1.211e-02, eta: 8:19:23, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5831, top5_acc: 0.8394, loss_cls: 6.0199, loss: 6.0199 |
| 2025-06-01 22:13:53,253 - pyskl - INFO - Epoch [77][600/1027] lr: 1.209e-02, eta: 8:18:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5938, top5_acc: 0.8313, loss_cls: 5.8662, loss: 5.8662 |
| 2025-06-01 22:14:31,354 - pyskl - INFO - Epoch [77][700/1027] lr: 1.206e-02, eta: 8:18:00, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5813, top5_acc: 0.8237, loss_cls: 6.0425, loss: 6.0425 |
| 2025-06-01 22:15:09,821 - pyskl - INFO - Epoch [77][800/1027] lr: 1.203e-02, eta: 8:17:20, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.5694, top5_acc: 0.8294, loss_cls: 5.9315, loss: 5.9315 |
| 2025-06-01 22:15:48,249 - pyskl - INFO - Epoch [77][900/1027] lr: 1.201e-02, eta: 8:16:39, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5881, top5_acc: 0.8356, loss_cls: 6.0009, loss: 6.0009 |
| 2025-06-01 22:16:26,424 - pyskl - INFO - Epoch [77][1000/1027] lr: 1.198e-02, eta: 8:15:58, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5806, top5_acc: 0.8156, loss_cls: 5.9743, loss: 5.9743 |
| 2025-06-01 22:16:37,428 - pyskl - INFO - Saving checkpoint at 77 epochs |
| 2025-06-01 22:17:14,506 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 22:17:14,579 - pyskl - INFO - |
| top1_acc 0.5605 |
| top5_acc 0.8488 |
| 2025-06-01 22:17:14,580 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 22:17:14,588 - pyskl - INFO - |
| mean_acc 0.5644 |
| 2025-06-01 22:17:14,590 - pyskl - INFO - Epoch(val) [77][413] top1_acc: 0.5605, top5_acc: 0.8488, mean_class_accuracy: 0.5644 |
| 2025-06-01 22:18:17,736 - pyskl - INFO - Epoch [78][100/1027] lr: 1.195e-02, eta: 8:15:19, time: 0.631, data_time: 0.251, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8569, loss_cls: 5.6901, loss: 5.6901 |
| 2025-06-01 22:18:55,798 - pyskl - INFO - Epoch [78][200/1027] lr: 1.193e-02, eta: 8:14:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6044, top5_acc: 0.8381, loss_cls: 5.8716, loss: 5.8716 |
| 2025-06-01 22:19:34,038 - pyskl - INFO - Epoch [78][300/1027] lr: 1.190e-02, eta: 8:13:57, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5887, top5_acc: 0.8394, loss_cls: 5.9085, loss: 5.9085 |
| 2025-06-01 22:20:12,080 - pyskl - INFO - Epoch [78][400/1027] lr: 1.187e-02, eta: 8:13:16, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6075, top5_acc: 0.8506, loss_cls: 5.7886, loss: 5.7886 |
| 2025-06-01 22:20:49,975 - pyskl - INFO - Epoch [78][500/1027] lr: 1.185e-02, eta: 8:12:34, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5950, top5_acc: 0.8494, loss_cls: 5.9613, loss: 5.9613 |
| 2025-06-01 22:21:27,990 - pyskl - INFO - Epoch [78][600/1027] lr: 1.182e-02, eta: 8:11:53, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5981, top5_acc: 0.8313, loss_cls: 5.9163, loss: 5.9163 |
| 2025-06-01 22:22:06,172 - pyskl - INFO - Epoch [78][700/1027] lr: 1.180e-02, eta: 8:11:12, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5719, top5_acc: 0.8081, loss_cls: 6.0744, loss: 6.0744 |
| 2025-06-01 22:22:44,571 - pyskl - INFO - Epoch [78][800/1027] lr: 1.177e-02, eta: 8:10:31, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.5938, top5_acc: 0.8213, loss_cls: 5.9490, loss: 5.9490 |
| 2025-06-01 22:23:22,830 - pyskl - INFO - Epoch [78][900/1027] lr: 1.175e-02, eta: 8:09:50, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8413, loss_cls: 5.9413, loss: 5.9413 |
| 2025-06-01 22:24:01,165 - pyskl - INFO - Epoch [78][1000/1027] lr: 1.172e-02, eta: 8:09:09, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6006, top5_acc: 0.8325, loss_cls: 6.0221, loss: 6.0221 |
| 2025-06-01 22:24:12,232 - pyskl - INFO - Saving checkpoint at 78 epochs |
| 2025-06-01 22:24:49,269 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 22:24:49,339 - pyskl - INFO - |
| top1_acc 0.5728 |
| top5_acc 0.8510 |
| 2025-06-01 22:24:49,339 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 22:24:49,347 - pyskl - INFO - |
| mean_acc 0.5742 |
| 2025-06-01 22:24:49,407 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_71.pth was removed |
| 2025-06-01 22:24:50,954 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_78.pth. |
| 2025-06-01 22:24:50,956 - pyskl - INFO - Best top1_acc is 0.5728 at 78 epoch. |
| 2025-06-01 22:24:50,959 - pyskl - INFO - Epoch(val) [78][413] top1_acc: 0.5728, top5_acc: 0.8510, mean_class_accuracy: 0.5742 |
| 2025-06-01 22:25:54,961 - pyskl - INFO - Epoch [79][100/1027] lr: 1.169e-02, eta: 8:08:31, time: 0.640, data_time: 0.259, memory: 7959, top1_acc: 0.6362, top5_acc: 0.8606, loss_cls: 5.6235, loss: 5.6235 |
| 2025-06-01 22:26:32,963 - pyskl - INFO - Epoch [79][200/1027] lr: 1.166e-02, eta: 8:07:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8456, loss_cls: 5.7136, loss: 5.7136 |
| 2025-06-01 22:27:11,043 - pyskl - INFO - Epoch [79][300/1027] lr: 1.164e-02, eta: 8:07:09, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5700, top5_acc: 0.8363, loss_cls: 5.8669, loss: 5.8669 |
| 2025-06-01 22:27:49,042 - pyskl - INFO - Epoch [79][400/1027] lr: 1.161e-02, eta: 8:06:28, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6106, top5_acc: 0.8350, loss_cls: 5.8501, loss: 5.8501 |
| 2025-06-01 22:28:27,079 - pyskl - INFO - Epoch [79][500/1027] lr: 1.159e-02, eta: 8:05:47, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.5856, top5_acc: 0.8337, loss_cls: 5.9925, loss: 5.9925 |
| 2025-06-01 22:29:05,159 - pyskl - INFO - Epoch [79][600/1027] lr: 1.156e-02, eta: 8:05:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5906, top5_acc: 0.8269, loss_cls: 5.8714, loss: 5.8714 |
| 2025-06-01 22:29:43,302 - pyskl - INFO - Epoch [79][700/1027] lr: 1.154e-02, eta: 8:04:24, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6144, top5_acc: 0.8350, loss_cls: 5.8793, loss: 5.8793 |
| 2025-06-01 22:30:21,872 - pyskl - INFO - Epoch [79][800/1027] lr: 1.151e-02, eta: 8:03:44, time: 0.386, data_time: 0.001, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8419, loss_cls: 5.8349, loss: 5.8349 |
| 2025-06-01 22:31:00,475 - pyskl - INFO - Epoch [79][900/1027] lr: 1.149e-02, eta: 8:03:03, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5856, top5_acc: 0.8163, loss_cls: 6.0629, loss: 6.0629 |
| 2025-06-01 22:31:38,530 - pyskl - INFO - Epoch [79][1000/1027] lr: 1.146e-02, eta: 8:02:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5681, top5_acc: 0.8187, loss_cls: 5.9610, loss: 5.9610 |
| 2025-06-01 22:31:49,517 - pyskl - INFO - Saving checkpoint at 79 epochs |
| 2025-06-01 22:32:26,179 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 22:32:26,249 - pyskl - INFO - |
| top1_acc 0.5642 |
| top5_acc 0.8439 |
| 2025-06-01 22:32:26,249 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 22:32:26,257 - pyskl - INFO - |
| mean_acc 0.5680 |
| 2025-06-01 22:32:26,258 - pyskl - INFO - Epoch(val) [79][413] top1_acc: 0.5642, top5_acc: 0.8439, mean_class_accuracy: 0.5680 |
| 2025-06-01 22:33:30,032 - pyskl - INFO - Epoch [80][100/1027] lr: 1.143e-02, eta: 8:01:43, time: 0.638, data_time: 0.255, memory: 7959, top1_acc: 0.6562, top5_acc: 0.8700, loss_cls: 5.6146, loss: 5.6146 |
| 2025-06-01 22:34:08,152 - pyskl - INFO - Epoch [80][200/1027] lr: 1.140e-02, eta: 8:01:02, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6288, top5_acc: 0.8375, loss_cls: 5.7936, loss: 5.7936 |
| 2025-06-01 22:34:46,327 - pyskl - INFO - Epoch [80][300/1027] lr: 1.138e-02, eta: 8:00:21, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6225, top5_acc: 0.8488, loss_cls: 5.7741, loss: 5.7741 |
| 2025-06-01 22:35:24,456 - pyskl - INFO - Epoch [80][400/1027] lr: 1.135e-02, eta: 7:59:40, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6156, top5_acc: 0.8350, loss_cls: 5.8241, loss: 5.8241 |
| 2025-06-01 22:36:02,493 - pyskl - INFO - Epoch [80][500/1027] lr: 1.133e-02, eta: 7:58:59, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8450, loss_cls: 5.5941, loss: 5.5941 |
| 2025-06-01 22:36:40,505 - pyskl - INFO - Epoch [80][600/1027] lr: 1.130e-02, eta: 7:58:18, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6188, top5_acc: 0.8606, loss_cls: 5.7409, loss: 5.7409 |
| 2025-06-01 22:37:18,637 - pyskl - INFO - Epoch [80][700/1027] lr: 1.128e-02, eta: 7:57:37, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.5900, top5_acc: 0.8344, loss_cls: 5.8308, loss: 5.8308 |
| 2025-06-01 22:37:57,193 - pyskl - INFO - Epoch [80][800/1027] lr: 1.125e-02, eta: 7:56:56, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6194, top5_acc: 0.8494, loss_cls: 5.7941, loss: 5.7941 |
| 2025-06-01 22:38:35,763 - pyskl - INFO - Epoch [80][900/1027] lr: 1.123e-02, eta: 7:56:15, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8369, loss_cls: 5.9426, loss: 5.9426 |
| 2025-06-01 22:39:13,935 - pyskl - INFO - Epoch [80][1000/1027] lr: 1.120e-02, eta: 7:55:34, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8181, loss_cls: 6.0500, loss: 6.0500 |
| 2025-06-01 22:39:25,067 - pyskl - INFO - Saving checkpoint at 80 epochs |
| 2025-06-01 22:59:37,323 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 22:59:37,390 - pyskl - INFO - |
| top1_acc 0.5531 |
| top5_acc 0.8448 |
| 2025-06-01 22:59:37,390 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 22:59:37,397 - pyskl - INFO - |
| mean_acc 0.5561 |
| 2025-06-01 22:59:37,398 - pyskl - INFO - Epoch(val) [80][413] top1_acc: 0.5531, top5_acc: 0.8448, mean_class_accuracy: 0.5561 |
| 2025-06-01 23:00:39,787 - pyskl - INFO - Epoch [81][100/1027] lr: 1.117e-02, eta: 7:54:55, time: 0.624, data_time: 0.249, memory: 7959, top1_acc: 0.6506, top5_acc: 0.8694, loss_cls: 5.6206, loss: 5.6206 |
| 2025-06-01 23:01:17,153 - pyskl - INFO - Epoch [81][200/1027] lr: 1.114e-02, eta: 7:54:13, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8594, loss_cls: 5.6164, loss: 5.6164 |
| 2025-06-01 23:01:54,631 - pyskl - INFO - Epoch [81][300/1027] lr: 1.112e-02, eta: 7:53:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5969, top5_acc: 0.8469, loss_cls: 5.8142, loss: 5.8142 |
| 2025-06-01 23:02:32,294 - pyskl - INFO - Epoch [81][400/1027] lr: 1.109e-02, eta: 7:52:50, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6088, top5_acc: 0.8375, loss_cls: 5.9036, loss: 5.9036 |
| 2025-06-01 23:03:09,836 - pyskl - INFO - Epoch [81][500/1027] lr: 1.107e-02, eta: 7:52:08, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8444, loss_cls: 5.7523, loss: 5.7523 |
| 2025-06-01 23:03:47,320 - pyskl - INFO - Epoch [81][600/1027] lr: 1.104e-02, eta: 7:51:27, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6044, top5_acc: 0.8444, loss_cls: 5.7741, loss: 5.7741 |
| 2025-06-01 23:04:24,830 - pyskl - INFO - Epoch [81][700/1027] lr: 1.102e-02, eta: 7:50:45, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5944, top5_acc: 0.8394, loss_cls: 5.8636, loss: 5.8636 |
| 2025-06-01 23:05:02,764 - pyskl - INFO - Epoch [81][800/1027] lr: 1.099e-02, eta: 7:50:04, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8400, loss_cls: 5.9456, loss: 5.9456 |
| 2025-06-01 23:05:41,146 - pyskl - INFO - Epoch [81][900/1027] lr: 1.097e-02, eta: 7:49:23, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8313, loss_cls: 5.7578, loss: 5.7578 |
| 2025-06-01 23:06:19,905 - pyskl - INFO - Epoch [81][1000/1027] lr: 1.094e-02, eta: 7:48:43, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.6169, top5_acc: 0.8531, loss_cls: 5.7342, loss: 5.7342 |
| 2025-06-01 23:06:31,238 - pyskl - INFO - Saving checkpoint at 81 epochs |
| 2025-06-01 23:07:08,707 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 23:07:08,781 - pyskl - INFO - |
| top1_acc 0.5593 |
| top5_acc 0.8356 |
| 2025-06-01 23:07:08,781 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 23:07:08,790 - pyskl - INFO - |
| mean_acc 0.5633 |
| 2025-06-01 23:07:08,791 - pyskl - INFO - Epoch(val) [81][413] top1_acc: 0.5593, top5_acc: 0.8356, mean_class_accuracy: 0.5633 |
| 2025-06-01 23:08:13,971 - pyskl - INFO - Epoch [82][100/1027] lr: 1.091e-02, eta: 7:48:05, time: 0.652, data_time: 0.269, memory: 7959, top1_acc: 0.6444, top5_acc: 0.8619, loss_cls: 5.5777, loss: 5.5777 |
| 2025-06-01 23:08:52,099 - pyskl - INFO - Epoch [82][200/1027] lr: 1.088e-02, eta: 7:47:24, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8306, loss_cls: 5.8623, loss: 5.8623 |
| 2025-06-01 23:09:30,301 - pyskl - INFO - Epoch [82][300/1027] lr: 1.086e-02, eta: 7:46:43, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6331, top5_acc: 0.8669, loss_cls: 5.6797, loss: 5.6797 |
| 2025-06-01 23:10:08,559 - pyskl - INFO - Epoch [82][400/1027] lr: 1.083e-02, eta: 7:46:02, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8519, loss_cls: 5.7371, loss: 5.7371 |
| 2025-06-01 23:10:46,697 - pyskl - INFO - Epoch [82][500/1027] lr: 1.081e-02, eta: 7:45:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8512, loss_cls: 5.7301, loss: 5.7301 |
| 2025-06-01 23:11:24,735 - pyskl - INFO - Epoch [82][600/1027] lr: 1.078e-02, eta: 7:44:40, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6038, top5_acc: 0.8612, loss_cls: 5.7496, loss: 5.7496 |
| 2025-06-01 23:12:02,691 - pyskl - INFO - Epoch [82][700/1027] lr: 1.076e-02, eta: 7:43:59, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6169, top5_acc: 0.8669, loss_cls: 5.6578, loss: 5.6578 |
| 2025-06-01 23:12:41,132 - pyskl - INFO - Epoch [82][800/1027] lr: 1.073e-02, eta: 7:43:18, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6262, top5_acc: 0.8350, loss_cls: 5.8445, loss: 5.8445 |
| 2025-06-01 23:13:19,861 - pyskl - INFO - Epoch [82][900/1027] lr: 1.071e-02, eta: 7:42:38, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.5962, top5_acc: 0.8313, loss_cls: 5.8522, loss: 5.8522 |
| 2025-06-01 23:13:58,683 - pyskl - INFO - Epoch [82][1000/1027] lr: 1.068e-02, eta: 7:41:57, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.6194, top5_acc: 0.8481, loss_cls: 5.6854, loss: 5.6854 |
| 2025-06-01 23:14:09,796 - pyskl - INFO - Saving checkpoint at 82 epochs |
| 2025-06-01 23:14:47,396 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 23:14:47,467 - pyskl - INFO - |
| top1_acc 0.5651 |
| top5_acc 0.8451 |
| 2025-06-01 23:14:47,467 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 23:14:47,475 - pyskl - INFO - |
| mean_acc 0.5699 |
| 2025-06-01 23:14:47,477 - pyskl - INFO - Epoch(val) [82][413] top1_acc: 0.5651, top5_acc: 0.8451, mean_class_accuracy: 0.5699 |
| 2025-06-01 23:15:50,885 - pyskl - INFO - Epoch [83][100/1027] lr: 1.065e-02, eta: 7:41:18, time: 0.634, data_time: 0.254, memory: 7959, top1_acc: 0.6438, top5_acc: 0.8562, loss_cls: 5.5236, loss: 5.5236 |
| 2025-06-01 23:16:29,141 - pyskl - INFO - Epoch [83][200/1027] lr: 1.062e-02, eta: 7:40:37, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6512, top5_acc: 0.8606, loss_cls: 5.6155, loss: 5.6155 |
| 2025-06-01 23:17:07,319 - pyskl - INFO - Epoch [83][300/1027] lr: 1.060e-02, eta: 7:39:56, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6419, top5_acc: 0.8681, loss_cls: 5.4316, loss: 5.4316 |
| 2025-06-01 23:17:45,475 - pyskl - INFO - Epoch [83][400/1027] lr: 1.057e-02, eta: 7:39:15, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6144, top5_acc: 0.8525, loss_cls: 5.7569, loss: 5.7569 |
| 2025-06-01 23:18:23,600 - pyskl - INFO - Epoch [83][500/1027] lr: 1.055e-02, eta: 7:38:34, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6400, top5_acc: 0.8544, loss_cls: 5.6196, loss: 5.6196 |
| 2025-06-01 23:19:01,703 - pyskl - INFO - Epoch [83][600/1027] lr: 1.052e-02, eta: 7:37:53, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8550, loss_cls: 5.6916, loss: 5.6916 |
| 2025-06-01 23:19:39,736 - pyskl - INFO - Epoch [83][700/1027] lr: 1.050e-02, eta: 7:37:12, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6212, top5_acc: 0.8469, loss_cls: 5.8311, loss: 5.8311 |
| 2025-06-01 23:20:17,672 - pyskl - INFO - Epoch [83][800/1027] lr: 1.047e-02, eta: 7:36:31, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6156, top5_acc: 0.8506, loss_cls: 5.7269, loss: 5.7269 |
| 2025-06-01 23:20:56,139 - pyskl - INFO - Epoch [83][900/1027] lr: 1.045e-02, eta: 7:35:50, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6294, top5_acc: 0.8462, loss_cls: 5.7229, loss: 5.7229 |
| 2025-06-01 23:21:35,014 - pyskl - INFO - Epoch [83][1000/1027] lr: 1.042e-02, eta: 7:35:10, time: 0.389, data_time: 0.000, memory: 7959, top1_acc: 0.5831, top5_acc: 0.8350, loss_cls: 5.9513, loss: 5.9513 |
| 2025-06-01 23:21:47,094 - pyskl - INFO - Saving checkpoint at 83 epochs |
| 2025-06-01 23:22:24,613 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 23:22:24,683 - pyskl - INFO - |
| top1_acc 0.5840 |
| top5_acc 0.8544 |
| 2025-06-01 23:22:24,684 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 23:22:24,691 - pyskl - INFO - |
| mean_acc 0.5913 |
| 2025-06-01 23:22:24,751 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_78.pth was removed |
| 2025-06-01 23:22:26,426 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_83.pth. |
| 2025-06-01 23:22:26,427 - pyskl - INFO - Best top1_acc is 0.5840 at 83 epoch. |
| 2025-06-01 23:22:26,431 - pyskl - INFO - Epoch(val) [83][413] top1_acc: 0.5840, top5_acc: 0.8544, mean_class_accuracy: 0.5913 |
| 2025-06-01 23:23:29,970 - pyskl - INFO - Epoch [84][100/1027] lr: 1.039e-02, eta: 7:34:30, time: 0.635, data_time: 0.253, memory: 7959, top1_acc: 0.6550, top5_acc: 0.8806, loss_cls: 5.4793, loss: 5.4793 |
| 2025-06-01 23:24:08,262 - pyskl - INFO - Epoch [84][200/1027] lr: 1.037e-02, eta: 7:33:49, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6512, top5_acc: 0.8712, loss_cls: 5.4307, loss: 5.4307 |
| 2025-06-01 23:24:46,661 - pyskl - INFO - Epoch [84][300/1027] lr: 1.034e-02, eta: 7:33:09, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8606, loss_cls: 5.6201, loss: 5.6201 |
| 2025-06-01 23:25:25,080 - pyskl - INFO - Epoch [84][400/1027] lr: 1.032e-02, eta: 7:32:28, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8688, loss_cls: 5.5972, loss: 5.5972 |
| 2025-06-01 23:26:03,736 - pyskl - INFO - Epoch [84][500/1027] lr: 1.029e-02, eta: 7:31:47, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.6269, top5_acc: 0.8475, loss_cls: 5.7339, loss: 5.7339 |
| 2025-06-01 23:26:42,379 - pyskl - INFO - Epoch [84][600/1027] lr: 1.026e-02, eta: 7:31:07, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8612, loss_cls: 5.5784, loss: 5.5784 |
| 2025-06-01 23:27:20,909 - pyskl - INFO - Epoch [84][700/1027] lr: 1.024e-02, eta: 7:30:26, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6138, top5_acc: 0.8506, loss_cls: 5.7247, loss: 5.7247 |
| 2025-06-01 23:27:59,350 - pyskl - INFO - Epoch [84][800/1027] lr: 1.021e-02, eta: 7:29:46, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6188, top5_acc: 0.8531, loss_cls: 5.7052, loss: 5.7052 |
| 2025-06-01 23:28:37,908 - pyskl - INFO - Epoch [84][900/1027] lr: 1.019e-02, eta: 7:29:05, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6306, top5_acc: 0.8519, loss_cls: 5.5673, loss: 5.5673 |
| 2025-06-01 23:29:16,479 - pyskl - INFO - Epoch [84][1000/1027] lr: 1.016e-02, eta: 7:28:24, time: 0.386, data_time: 0.001, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8425, loss_cls: 5.7872, loss: 5.7872 |
| 2025-06-01 23:29:27,654 - pyskl - INFO - Saving checkpoint at 84 epochs |
| 2025-06-01 23:30:04,955 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 23:30:05,026 - pyskl - INFO - |
| top1_acc 0.5887 |
| top5_acc 0.8612 |
| 2025-06-01 23:30:05,026 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 23:30:05,033 - pyskl - INFO - |
| mean_acc 0.5897 |
| 2025-06-01 23:30:05,091 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_83.pth was removed |
| 2025-06-01 23:30:06,579 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_84.pth. |
| 2025-06-01 23:30:06,580 - pyskl - INFO - Best top1_acc is 0.5887 at 84 epoch. |
| 2025-06-01 23:30:06,583 - pyskl - INFO - Epoch(val) [84][413] top1_acc: 0.5887, top5_acc: 0.8612, mean_class_accuracy: 0.5897 |
| 2025-06-01 23:31:09,598 - pyskl - INFO - Epoch [85][100/1027] lr: 1.013e-02, eta: 7:27:44, time: 0.630, data_time: 0.248, memory: 7959, top1_acc: 0.6644, top5_acc: 0.8694, loss_cls: 5.5232, loss: 5.5232 |
| 2025-06-01 23:31:47,642 - pyskl - INFO - Epoch [85][200/1027] lr: 1.011e-02, eta: 7:27:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6606, top5_acc: 0.8669, loss_cls: 5.6364, loss: 5.6364 |
| 2025-06-01 23:32:25,737 - pyskl - INFO - Epoch [85][300/1027] lr: 1.008e-02, eta: 7:26:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6669, top5_acc: 0.8806, loss_cls: 5.4698, loss: 5.4698 |
| 2025-06-01 23:33:03,849 - pyskl - INFO - Epoch [85][400/1027] lr: 1.006e-02, eta: 7:25:41, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6344, top5_acc: 0.8688, loss_cls: 5.7096, loss: 5.7096 |
| 2025-06-01 23:33:41,787 - pyskl - INFO - Epoch [85][500/1027] lr: 1.003e-02, eta: 7:25:00, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6406, top5_acc: 0.8606, loss_cls: 5.5304, loss: 5.5304 |
| 2025-06-01 23:34:19,744 - pyskl - INFO - Epoch [85][600/1027] lr: 1.001e-02, eta: 7:24:19, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6206, top5_acc: 0.8644, loss_cls: 5.6365, loss: 5.6365 |
| 2025-06-01 23:34:57,815 - pyskl - INFO - Epoch [85][700/1027] lr: 9.983e-03, eta: 7:23:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6288, top5_acc: 0.8706, loss_cls: 5.6934, loss: 5.6934 |
| 2025-06-01 23:35:35,993 - pyskl - INFO - Epoch [85][800/1027] lr: 9.958e-03, eta: 7:22:57, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6362, top5_acc: 0.8619, loss_cls: 5.6528, loss: 5.6528 |
| 2025-06-01 23:36:14,545 - pyskl - INFO - Epoch [85][900/1027] lr: 9.933e-03, eta: 7:22:17, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6412, top5_acc: 0.8550, loss_cls: 5.6993, loss: 5.6993 |
| 2025-06-01 23:36:53,086 - pyskl - INFO - Epoch [85][1000/1027] lr: 9.908e-03, eta: 7:21:36, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6006, top5_acc: 0.8519, loss_cls: 5.9182, loss: 5.9182 |
| 2025-06-01 23:37:04,060 - pyskl - INFO - Saving checkpoint at 85 epochs |
| 2025-06-01 23:57:18,233 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-01 23:57:18,300 - pyskl - INFO - |
| top1_acc 0.5728 |
| top5_acc 0.8559 |
| 2025-06-01 23:57:18,300 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-01 23:57:18,307 - pyskl - INFO - |
| mean_acc 0.5718 |
| 2025-06-01 23:57:18,308 - pyskl - INFO - Epoch(val) [85][413] top1_acc: 0.5728, top5_acc: 0.8559, mean_class_accuracy: 0.5718 |
| 2025-06-01 23:58:20,470 - pyskl - INFO - Epoch [86][100/1027] lr: 9.876e-03, eta: 7:20:55, time: 0.622, data_time: 0.246, memory: 7959, top1_acc: 0.6706, top5_acc: 0.8712, loss_cls: 5.5393, loss: 5.5393 |
| 2025-06-01 23:58:57,949 - pyskl - INFO - Epoch [86][200/1027] lr: 9.852e-03, eta: 7:20:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6744, top5_acc: 0.8856, loss_cls: 5.4471, loss: 5.4471 |
| 2025-06-01 23:59:35,760 - pyskl - INFO - Epoch [86][300/1027] lr: 9.827e-03, eta: 7:19:32, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6594, top5_acc: 0.8531, loss_cls: 5.5404, loss: 5.5404 |
| 2025-06-02 00:00:13,383 - pyskl - INFO - Epoch [86][400/1027] lr: 9.802e-03, eta: 7:18:51, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6444, top5_acc: 0.8569, loss_cls: 5.6506, loss: 5.6506 |
| 2025-06-02 00:00:51,087 - pyskl - INFO - Epoch [86][500/1027] lr: 9.777e-03, eta: 7:18:10, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6625, top5_acc: 0.8788, loss_cls: 5.4796, loss: 5.4796 |
| 2025-06-02 00:01:29,069 - pyskl - INFO - Epoch [86][600/1027] lr: 9.752e-03, eta: 7:17:29, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8575, loss_cls: 5.6188, loss: 5.6188 |
| 2025-06-02 00:02:07,399 - pyskl - INFO - Epoch [86][700/1027] lr: 9.727e-03, eta: 7:16:48, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6375, top5_acc: 0.8675, loss_cls: 5.6489, loss: 5.6489 |
| 2025-06-02 00:02:45,537 - pyskl - INFO - Epoch [86][800/1027] lr: 9.702e-03, eta: 7:16:07, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6575, top5_acc: 0.8675, loss_cls: 5.4291, loss: 5.4291 |
| 2025-06-02 00:03:23,921 - pyskl - INFO - Epoch [86][900/1027] lr: 9.677e-03, eta: 7:15:27, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6206, top5_acc: 0.8594, loss_cls: 5.6740, loss: 5.6740 |
| 2025-06-02 00:04:02,061 - pyskl - INFO - Epoch [86][1000/1027] lr: 9.653e-03, eta: 7:14:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6169, top5_acc: 0.8488, loss_cls: 5.7816, loss: 5.7816 |
| 2025-06-02 00:04:13,051 - pyskl - INFO - Saving checkpoint at 86 epochs |
| 2025-06-02 00:04:49,986 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 00:04:50,056 - pyskl - INFO - |
| top1_acc 0.5901 |
| top5_acc 0.8569 |
| 2025-06-02 00:04:50,056 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 00:04:50,063 - pyskl - INFO - |
| mean_acc 0.5941 |
| 2025-06-02 00:04:50,120 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_84.pth was removed |
| 2025-06-02 00:04:51,665 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. |
| 2025-06-02 00:04:51,667 - pyskl - INFO - Best top1_acc is 0.5901 at 86 epoch. |
| 2025-06-02 00:04:51,670 - pyskl - INFO - Epoch(val) [86][413] top1_acc: 0.5901, top5_acc: 0.8569, mean_class_accuracy: 0.5941 |
| 2025-06-02 00:05:54,485 - pyskl - INFO - Epoch [87][100/1027] lr: 9.621e-03, eta: 7:14:05, time: 0.628, data_time: 0.248, memory: 7959, top1_acc: 0.6737, top5_acc: 0.8744, loss_cls: 5.4170, loss: 5.4170 |
| 2025-06-02 00:06:32,732 - pyskl - INFO - Epoch [87][200/1027] lr: 9.596e-03, eta: 7:13:24, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6631, top5_acc: 0.8812, loss_cls: 5.4604, loss: 5.4604 |
| 2025-06-02 00:07:10,683 - pyskl - INFO - Epoch [87][300/1027] lr: 9.571e-03, eta: 7:12:43, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6631, top5_acc: 0.8725, loss_cls: 5.5669, loss: 5.5669 |
| 2025-06-02 00:07:48,647 - pyskl - INFO - Epoch [87][400/1027] lr: 9.547e-03, eta: 7:12:02, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8788, loss_cls: 5.4144, loss: 5.4144 |
| 2025-06-02 00:08:26,647 - pyskl - INFO - Epoch [87][500/1027] lr: 9.522e-03, eta: 7:11:21, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8812, loss_cls: 5.5599, loss: 5.5599 |
| 2025-06-02 00:09:04,400 - pyskl - INFO - Epoch [87][600/1027] lr: 9.497e-03, eta: 7:10:40, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6675, top5_acc: 0.8700, loss_cls: 5.4476, loss: 5.4476 |
| 2025-06-02 00:09:42,609 - pyskl - INFO - Epoch [87][700/1027] lr: 9.472e-03, eta: 7:09:59, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6444, top5_acc: 0.8594, loss_cls: 5.5703, loss: 5.5703 |
| 2025-06-02 00:10:21,168 - pyskl - INFO - Epoch [87][800/1027] lr: 9.448e-03, eta: 7:09:19, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8600, loss_cls: 5.6367, loss: 5.6367 |
| 2025-06-02 00:10:59,645 - pyskl - INFO - Epoch [87][900/1027] lr: 9.423e-03, eta: 7:08:38, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6438, top5_acc: 0.8669, loss_cls: 5.6219, loss: 5.6219 |
| 2025-06-02 00:11:37,641 - pyskl - INFO - Epoch [87][1000/1027] lr: 9.398e-03, eta: 7:07:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6394, top5_acc: 0.8469, loss_cls: 5.6477, loss: 5.6477 |
| 2025-06-02 00:11:48,654 - pyskl - INFO - Saving checkpoint at 87 epochs |
| 2025-06-02 00:12:25,920 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 00:12:25,991 - pyskl - INFO - |
| top1_acc 0.5734 |
| top5_acc 0.8536 |
| 2025-06-02 00:12:25,991 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 00:12:25,998 - pyskl - INFO - |
| mean_acc 0.5737 |
| 2025-06-02 00:12:25,999 - pyskl - INFO - Epoch(val) [87][413] top1_acc: 0.5734, top5_acc: 0.8536, mean_class_accuracy: 0.5737 |
| 2025-06-02 00:13:29,708 - pyskl - INFO - Epoch [88][100/1027] lr: 9.367e-03, eta: 7:07:17, time: 0.637, data_time: 0.256, memory: 7959, top1_acc: 0.6775, top5_acc: 0.8744, loss_cls: 5.4761, loss: 5.4761 |
| 2025-06-02 00:14:07,867 - pyskl - INFO - Epoch [88][200/1027] lr: 9.342e-03, eta: 7:06:36, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6713, top5_acc: 0.8838, loss_cls: 5.4294, loss: 5.4294 |
| 2025-06-02 00:14:46,085 - pyskl - INFO - Epoch [88][300/1027] lr: 9.318e-03, eta: 7:05:55, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6531, top5_acc: 0.8694, loss_cls: 5.6042, loss: 5.6042 |
| 2025-06-02 00:15:24,086 - pyskl - INFO - Epoch [88][400/1027] lr: 9.293e-03, eta: 7:05:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8712, loss_cls: 5.4732, loss: 5.4732 |
| 2025-06-02 00:16:02,174 - pyskl - INFO - Epoch [88][500/1027] lr: 9.268e-03, eta: 7:04:33, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6700, top5_acc: 0.8788, loss_cls: 5.3983, loss: 5.3983 |
| 2025-06-02 00:16:40,386 - pyskl - INFO - Epoch [88][600/1027] lr: 9.244e-03, eta: 7:03:53, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6694, top5_acc: 0.8756, loss_cls: 5.3189, loss: 5.3189 |
| 2025-06-02 00:17:18,287 - pyskl - INFO - Epoch [88][700/1027] lr: 9.219e-03, eta: 7:03:12, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6306, top5_acc: 0.8644, loss_cls: 5.5974, loss: 5.5974 |
| 2025-06-02 00:17:56,649 - pyskl - INFO - Epoch [88][800/1027] lr: 9.195e-03, eta: 7:02:31, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6438, top5_acc: 0.8706, loss_cls: 5.5925, loss: 5.5925 |
| 2025-06-02 00:18:35,004 - pyskl - INFO - Epoch [88][900/1027] lr: 9.170e-03, eta: 7:01:51, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6400, top5_acc: 0.8719, loss_cls: 5.6631, loss: 5.6631 |
| 2025-06-02 00:19:13,305 - pyskl - INFO - Epoch [88][1000/1027] lr: 9.145e-03, eta: 7:01:10, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6412, top5_acc: 0.8612, loss_cls: 5.4929, loss: 5.4929 |
| 2025-06-02 00:19:24,323 - pyskl - INFO - Saving checkpoint at 88 epochs |
| 2025-06-02 00:20:01,608 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 00:20:01,679 - pyskl - INFO - |
| top1_acc 0.5902 |
| top5_acc 0.8571 |
| 2025-06-02 00:20:01,679 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 00:20:01,686 - pyskl - INFO - |
| mean_acc 0.5919 |
| 2025-06-02 00:20:01,744 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_86.pth was removed |
| 2025-06-02 00:20:03,282 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_88.pth. |
| 2025-06-02 00:20:03,284 - pyskl - INFO - Best top1_acc is 0.5902 at 88 epoch. |
| 2025-06-02 00:20:03,286 - pyskl - INFO - Epoch(val) [88][413] top1_acc: 0.5902, top5_acc: 0.8571, mean_class_accuracy: 0.5919 |
| 2025-06-02 00:21:06,527 - pyskl - INFO - Epoch [89][100/1027] lr: 9.114e-03, eta: 7:00:29, time: 0.632, data_time: 0.253, memory: 7959, top1_acc: 0.6919, top5_acc: 0.8938, loss_cls: 5.2628, loss: 5.2628 |
| 2025-06-02 00:21:44,708 - pyskl - INFO - Epoch [89][200/1027] lr: 9.090e-03, eta: 6:59:48, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6656, top5_acc: 0.8806, loss_cls: 5.3429, loss: 5.3429 |
| 2025-06-02 00:22:22,794 - pyskl - INFO - Epoch [89][300/1027] lr: 9.065e-03, eta: 6:59:07, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6681, top5_acc: 0.8800, loss_cls: 5.4570, loss: 5.4570 |
| 2025-06-02 00:23:00,771 - pyskl - INFO - Epoch [89][400/1027] lr: 9.041e-03, eta: 6:58:26, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8675, loss_cls: 5.6258, loss: 5.6258 |
| 2025-06-02 00:23:38,857 - pyskl - INFO - Epoch [89][500/1027] lr: 9.016e-03, eta: 6:57:45, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6713, top5_acc: 0.8750, loss_cls: 5.4897, loss: 5.4897 |
| 2025-06-02 00:24:17,254 - pyskl - INFO - Epoch [89][600/1027] lr: 8.992e-03, eta: 6:57:05, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6687, top5_acc: 0.8738, loss_cls: 5.4040, loss: 5.4040 |
| 2025-06-02 00:24:55,414 - pyskl - INFO - Epoch [89][700/1027] lr: 8.967e-03, eta: 6:56:24, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6606, top5_acc: 0.8881, loss_cls: 5.3902, loss: 5.3902 |
| 2025-06-02 00:25:34,040 - pyskl - INFO - Epoch [89][800/1027] lr: 8.943e-03, eta: 6:55:44, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.6575, top5_acc: 0.8638, loss_cls: 5.5206, loss: 5.5206 |
| 2025-06-02 00:26:12,353 - pyskl - INFO - Epoch [89][900/1027] lr: 8.918e-03, eta: 6:55:03, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6644, top5_acc: 0.8656, loss_cls: 5.5683, loss: 5.5683 |
| 2025-06-02 00:26:50,423 - pyskl - INFO - Epoch [89][1000/1027] lr: 8.894e-03, eta: 6:54:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8650, loss_cls: 5.7129, loss: 5.7129 |
| 2025-06-02 00:27:01,437 - pyskl - INFO - Saving checkpoint at 89 epochs |
| 2025-06-02 00:27:38,208 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 00:27:38,278 - pyskl - INFO - |
| top1_acc 0.5971 |
| top5_acc 0.8647 |
| 2025-06-02 00:27:38,278 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 00:27:38,285 - pyskl - INFO - |
| mean_acc 0.5987 |
| 2025-06-02 00:27:38,344 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_88.pth was removed |
| 2025-06-02 00:27:39,833 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. |
| 2025-06-02 00:27:39,834 - pyskl - INFO - Best top1_acc is 0.5971 at 89 epoch. |
| 2025-06-02 00:27:39,837 - pyskl - INFO - Epoch(val) [89][413] top1_acc: 0.5971, top5_acc: 0.8647, mean_class_accuracy: 0.5987 |
| 2025-06-02 00:28:42,785 - pyskl - INFO - Epoch [90][100/1027] lr: 8.863e-03, eta: 6:53:41, time: 0.629, data_time: 0.250, memory: 7959, top1_acc: 0.6981, top5_acc: 0.8944, loss_cls: 5.2118, loss: 5.2118 |
| 2025-06-02 00:29:21,042 - pyskl - INFO - Epoch [90][200/1027] lr: 8.839e-03, eta: 6:53:00, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6994, top5_acc: 0.8819, loss_cls: 5.1817, loss: 5.1817 |
| 2025-06-02 00:29:59,388 - pyskl - INFO - Epoch [90][300/1027] lr: 8.814e-03, eta: 6:52:19, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6813, top5_acc: 0.8719, loss_cls: 5.4354, loss: 5.4354 |
| 2025-06-02 00:30:37,524 - pyskl - INFO - Epoch [90][400/1027] lr: 8.790e-03, eta: 6:51:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6856, top5_acc: 0.9012, loss_cls: 5.1162, loss: 5.1162 |
| 2025-06-02 00:31:15,727 - pyskl - INFO - Epoch [90][500/1027] lr: 8.766e-03, eta: 6:50:58, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6637, top5_acc: 0.8781, loss_cls: 5.4658, loss: 5.4658 |
| 2025-06-02 00:31:54,016 - pyskl - INFO - Epoch [90][600/1027] lr: 8.741e-03, eta: 6:50:17, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6644, top5_acc: 0.8800, loss_cls: 5.5130, loss: 5.5130 |
| 2025-06-02 00:32:32,148 - pyskl - INFO - Epoch [90][700/1027] lr: 8.717e-03, eta: 6:49:37, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6538, top5_acc: 0.8638, loss_cls: 5.4926, loss: 5.4926 |
| 2025-06-02 00:33:10,380 - pyskl - INFO - Epoch [90][800/1027] lr: 8.693e-03, eta: 6:48:56, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6737, top5_acc: 0.8688, loss_cls: 5.4723, loss: 5.4723 |
| 2025-06-02 00:33:48,779 - pyskl - INFO - Epoch [90][900/1027] lr: 8.668e-03, eta: 6:48:15, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6506, top5_acc: 0.8719, loss_cls: 5.6384, loss: 5.6384 |
| 2025-06-02 00:34:26,788 - pyskl - INFO - Epoch [90][1000/1027] lr: 8.644e-03, eta: 6:47:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6512, top5_acc: 0.8600, loss_cls: 5.5157, loss: 5.5157 |
| 2025-06-02 00:34:38,010 - pyskl - INFO - Saving checkpoint at 90 epochs |
| 2025-06-02 00:55:51,774 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 00:55:51,840 - pyskl - INFO - |
| top1_acc 0.5974 |
| top5_acc 0.8580 |
| 2025-06-02 00:55:51,840 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 00:55:51,847 - pyskl - INFO - |
| mean_acc 0.6000 |
| 2025-06-02 00:55:51,906 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_89.pth was removed |
| 2025-06-02 00:55:53,441 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_90.pth. |
| 2025-06-02 00:55:53,443 - pyskl - INFO - Best top1_acc is 0.5974 at 90 epoch. |
| 2025-06-02 00:55:53,446 - pyskl - INFO - Epoch(val) [90][413] top1_acc: 0.5974, top5_acc: 0.8580, mean_class_accuracy: 0.6000 |
| 2025-06-02 00:56:56,320 - pyskl - INFO - Epoch [91][100/1027] lr: 8.613e-03, eta: 6:46:53, time: 0.629, data_time: 0.248, memory: 7959, top1_acc: 0.7250, top5_acc: 0.9019, loss_cls: 5.0030, loss: 5.0030 |
| 2025-06-02 00:57:34,114 - pyskl - INFO - Epoch [91][200/1027] lr: 8.589e-03, eta: 6:46:12, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7031, top5_acc: 0.8862, loss_cls: 5.2055, loss: 5.2055 |
| 2025-06-02 00:58:12,314 - pyskl - INFO - Epoch [91][300/1027] lr: 8.565e-03, eta: 6:45:31, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6900, top5_acc: 0.8912, loss_cls: 5.3899, loss: 5.3899 |
| 2025-06-02 00:58:50,355 - pyskl - INFO - Epoch [91][400/1027] lr: 8.541e-03, eta: 6:44:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7000, top5_acc: 0.8962, loss_cls: 5.3371, loss: 5.3371 |
| 2025-06-02 00:59:28,310 - pyskl - INFO - Epoch [91][500/1027] lr: 8.517e-03, eta: 6:44:09, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6719, top5_acc: 0.8794, loss_cls: 5.4719, loss: 5.4719 |
| 2025-06-02 01:00:06,638 - pyskl - INFO - Epoch [91][600/1027] lr: 8.492e-03, eta: 6:43:29, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6713, top5_acc: 0.8856, loss_cls: 5.3558, loss: 5.3558 |
| 2025-06-02 01:00:44,528 - pyskl - INFO - Epoch [91][700/1027] lr: 8.468e-03, eta: 6:42:48, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6594, top5_acc: 0.8794, loss_cls: 5.4692, loss: 5.4692 |
| 2025-06-02 01:01:22,773 - pyskl - INFO - Epoch [91][800/1027] lr: 8.444e-03, eta: 6:42:07, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6787, top5_acc: 0.8756, loss_cls: 5.4095, loss: 5.4095 |
| 2025-06-02 01:02:00,943 - pyskl - INFO - Epoch [91][900/1027] lr: 8.420e-03, eta: 6:41:27, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6538, top5_acc: 0.8825, loss_cls: 5.4062, loss: 5.4062 |
| 2025-06-02 01:02:39,171 - pyskl - INFO - Epoch [91][1000/1027] lr: 8.396e-03, eta: 6:40:46, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6687, top5_acc: 0.8762, loss_cls: 5.4343, loss: 5.4343 |
| 2025-06-02 01:02:50,593 - pyskl - INFO - Saving checkpoint at 91 epochs |
| 2025-06-02 01:03:27,957 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 01:03:28,028 - pyskl - INFO - |
| top1_acc 0.5780 |
| top5_acc 0.8536 |
| 2025-06-02 01:03:28,028 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 01:03:28,036 - pyskl - INFO - |
| mean_acc 0.5765 |
| 2025-06-02 01:03:28,038 - pyskl - INFO - Epoch(val) [91][413] top1_acc: 0.5780, top5_acc: 0.8536, mean_class_accuracy: 0.5765 |
| 2025-06-02 01:04:32,650 - pyskl - INFO - Epoch [92][100/1027] lr: 8.365e-03, eta: 6:40:05, time: 0.646, data_time: 0.262, memory: 7959, top1_acc: 0.7006, top5_acc: 0.8931, loss_cls: 5.2803, loss: 5.2803 |
| 2025-06-02 01:05:10,721 - pyskl - INFO - Epoch [92][200/1027] lr: 8.341e-03, eta: 6:39:24, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6975, top5_acc: 0.8875, loss_cls: 5.2012, loss: 5.2012 |
| 2025-06-02 01:05:48,959 - pyskl - INFO - Epoch [92][300/1027] lr: 8.317e-03, eta: 6:38:44, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6763, top5_acc: 0.8844, loss_cls: 5.3381, loss: 5.3381 |
| 2025-06-02 01:06:27,006 - pyskl - INFO - Epoch [92][400/1027] lr: 8.293e-03, eta: 6:38:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6919, top5_acc: 0.8925, loss_cls: 5.2630, loss: 5.2630 |
| 2025-06-02 01:07:05,121 - pyskl - INFO - Epoch [92][500/1027] lr: 8.269e-03, eta: 6:37:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6975, top5_acc: 0.8956, loss_cls: 5.3467, loss: 5.3467 |
| 2025-06-02 01:07:43,411 - pyskl - INFO - Epoch [92][600/1027] lr: 8.245e-03, eta: 6:36:42, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6987, top5_acc: 0.8944, loss_cls: 5.3111, loss: 5.3111 |
| 2025-06-02 01:08:21,541 - pyskl - INFO - Epoch [92][700/1027] lr: 8.221e-03, eta: 6:36:01, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6856, top5_acc: 0.8800, loss_cls: 5.3942, loss: 5.3942 |
| 2025-06-02 01:08:59,751 - pyskl - INFO - Epoch [92][800/1027] lr: 8.197e-03, eta: 6:35:20, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6519, top5_acc: 0.8831, loss_cls: 5.4124, loss: 5.4124 |
| 2025-06-02 01:09:37,972 - pyskl - INFO - Epoch [92][900/1027] lr: 8.173e-03, eta: 6:34:40, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6837, top5_acc: 0.8881, loss_cls: 5.2402, loss: 5.2402 |
| 2025-06-02 01:10:15,811 - pyskl - INFO - Epoch [92][1000/1027] lr: 8.150e-03, eta: 6:33:59, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6813, top5_acc: 0.8850, loss_cls: 5.3119, loss: 5.3119 |
| 2025-06-02 01:10:27,024 - pyskl - INFO - Saving checkpoint at 92 epochs |
| 2025-06-02 01:11:04,221 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 01:11:04,292 - pyskl - INFO - |
| top1_acc 0.5962 |
| top5_acc 0.8616 |
| 2025-06-02 01:11:04,292 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 01:11:04,299 - pyskl - INFO - |
| mean_acc 0.5962 |
| 2025-06-02 01:11:04,300 - pyskl - INFO - Epoch(val) [92][413] top1_acc: 0.5962, top5_acc: 0.8616, mean_class_accuracy: 0.5962 |
| 2025-06-02 01:12:08,324 - pyskl - INFO - Epoch [93][100/1027] lr: 8.119e-03, eta: 6:33:17, time: 0.640, data_time: 0.257, memory: 7959, top1_acc: 0.6937, top5_acc: 0.8862, loss_cls: 5.2511, loss: 5.2511 |
| 2025-06-02 01:12:46,483 - pyskl - INFO - Epoch [93][200/1027] lr: 8.095e-03, eta: 6:32:37, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7294, top5_acc: 0.9131, loss_cls: 5.0812, loss: 5.0812 |
| 2025-06-02 01:13:24,884 - pyskl - INFO - Epoch [93][300/1027] lr: 8.071e-03, eta: 6:31:56, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7356, top5_acc: 0.9125, loss_cls: 5.1020, loss: 5.1020 |
| 2025-06-02 01:14:03,263 - pyskl - INFO - Epoch [93][400/1027] lr: 8.048e-03, eta: 6:31:16, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6925, top5_acc: 0.8931, loss_cls: 5.3240, loss: 5.3240 |
| 2025-06-02 01:14:41,470 - pyskl - INFO - Epoch [93][500/1027] lr: 8.024e-03, eta: 6:30:35, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6863, top5_acc: 0.9019, loss_cls: 5.1919, loss: 5.1919 |
| 2025-06-02 01:15:19,548 - pyskl - INFO - Epoch [93][600/1027] lr: 8.000e-03, eta: 6:29:54, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6931, top5_acc: 0.8919, loss_cls: 5.2447, loss: 5.2447 |
| 2025-06-02 01:15:57,598 - pyskl - INFO - Epoch [93][700/1027] lr: 7.976e-03, eta: 6:29:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8769, loss_cls: 5.4303, loss: 5.4303 |
| 2025-06-02 01:16:35,843 - pyskl - INFO - Epoch [93][800/1027] lr: 7.953e-03, eta: 6:28:33, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6800, top5_acc: 0.9031, loss_cls: 5.2675, loss: 5.2675 |
| 2025-06-02 01:17:14,083 - pyskl - INFO - Epoch [93][900/1027] lr: 7.929e-03, eta: 6:27:53, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6694, top5_acc: 0.8862, loss_cls: 5.3389, loss: 5.3389 |
| 2025-06-02 01:17:52,276 - pyskl - INFO - Epoch [93][1000/1027] lr: 7.905e-03, eta: 6:27:12, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6594, top5_acc: 0.8812, loss_cls: 5.4421, loss: 5.4421 |
| 2025-06-02 01:18:03,475 - pyskl - INFO - Saving checkpoint at 93 epochs |
| 2025-06-02 01:18:40,953 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 01:18:41,023 - pyskl - INFO - |
| top1_acc 0.5922 |
| top5_acc 0.8613 |
| 2025-06-02 01:18:41,023 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 01:18:41,030 - pyskl - INFO - |
| mean_acc 0.5961 |
| 2025-06-02 01:18:41,032 - pyskl - INFO - Epoch(val) [93][413] top1_acc: 0.5922, top5_acc: 0.8613, mean_class_accuracy: 0.5961 |
| 2025-06-02 01:19:45,207 - pyskl - INFO - Epoch [94][100/1027] lr: 7.875e-03, eta: 6:26:30, time: 0.642, data_time: 0.259, memory: 7959, top1_acc: 0.7163, top5_acc: 0.8962, loss_cls: 5.1196, loss: 5.1196 |
| 2025-06-02 01:20:23,309 - pyskl - INFO - Epoch [94][200/1027] lr: 7.851e-03, eta: 6:25:49, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7275, top5_acc: 0.9087, loss_cls: 5.1523, loss: 5.1523 |
| 2025-06-02 01:21:01,777 - pyskl - INFO - Epoch [94][300/1027] lr: 7.828e-03, eta: 6:25:09, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7194, top5_acc: 0.9000, loss_cls: 5.2660, loss: 5.2660 |
| 2025-06-02 01:21:40,229 - pyskl - INFO - Epoch [94][400/1027] lr: 7.804e-03, eta: 6:24:28, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7137, top5_acc: 0.8994, loss_cls: 5.1693, loss: 5.1693 |
| 2025-06-02 01:22:18,579 - pyskl - INFO - Epoch [94][500/1027] lr: 7.780e-03, eta: 6:23:48, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7100, top5_acc: 0.9087, loss_cls: 5.2309, loss: 5.2309 |
| 2025-06-02 01:22:57,076 - pyskl - INFO - Epoch [94][600/1027] lr: 7.757e-03, eta: 6:23:08, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7069, top5_acc: 0.9025, loss_cls: 5.1871, loss: 5.1871 |
| 2025-06-02 01:23:35,537 - pyskl - INFO - Epoch [94][700/1027] lr: 7.733e-03, eta: 6:22:27, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7125, top5_acc: 0.9000, loss_cls: 5.1681, loss: 5.1681 |
| 2025-06-02 01:24:13,825 - pyskl - INFO - Epoch [94][800/1027] lr: 7.710e-03, eta: 6:21:47, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6919, top5_acc: 0.8912, loss_cls: 5.2864, loss: 5.2864 |
| 2025-06-02 01:24:51,991 - pyskl - INFO - Epoch [94][900/1027] lr: 7.686e-03, eta: 6:21:06, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6856, top5_acc: 0.8988, loss_cls: 5.3884, loss: 5.3884 |
| 2025-06-02 01:25:30,095 - pyskl - INFO - Epoch [94][1000/1027] lr: 7.663e-03, eta: 6:20:26, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6756, top5_acc: 0.8700, loss_cls: 5.4093, loss: 5.4093 |
| 2025-06-02 01:25:41,365 - pyskl - INFO - Saving checkpoint at 94 epochs |
| 2025-06-02 01:26:18,638 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 01:26:18,708 - pyskl - INFO - |
| top1_acc 0.5846 |
| top5_acc 0.8483 |
| 2025-06-02 01:26:18,708 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 01:26:18,716 - pyskl - INFO - |
| mean_acc 0.5884 |
| 2025-06-02 01:26:18,717 - pyskl - INFO - Epoch(val) [94][413] top1_acc: 0.5846, top5_acc: 0.8483, mean_class_accuracy: 0.5884 |
| 2025-06-02 01:27:22,901 - pyskl - INFO - Epoch [95][100/1027] lr: 7.633e-03, eta: 6:19:43, time: 0.642, data_time: 0.258, memory: 7959, top1_acc: 0.7269, top5_acc: 0.8956, loss_cls: 5.1725, loss: 5.1725 |
| 2025-06-02 01:28:00,986 - pyskl - INFO - Epoch [95][200/1027] lr: 7.609e-03, eta: 6:19:03, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7344, top5_acc: 0.9144, loss_cls: 4.9799, loss: 4.9799 |
| 2025-06-02 01:28:39,300 - pyskl - INFO - Epoch [95][300/1027] lr: 7.586e-03, eta: 6:18:22, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7175, top5_acc: 0.9125, loss_cls: 5.0140, loss: 5.0140 |
| 2025-06-02 01:29:17,637 - pyskl - INFO - Epoch [95][400/1027] lr: 7.562e-03, eta: 6:17:42, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7075, top5_acc: 0.9081, loss_cls: 5.0462, loss: 5.0462 |
| 2025-06-02 01:29:55,722 - pyskl - INFO - Epoch [95][500/1027] lr: 7.539e-03, eta: 6:17:01, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.6925, top5_acc: 0.8925, loss_cls: 5.2762, loss: 5.2762 |
| 2025-06-02 01:30:34,157 - pyskl - INFO - Epoch [95][600/1027] lr: 7.516e-03, eta: 6:16:21, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7087, top5_acc: 0.9031, loss_cls: 5.1573, loss: 5.1573 |
| 2025-06-02 01:31:12,241 - pyskl - INFO - Epoch [95][700/1027] lr: 7.492e-03, eta: 6:15:40, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7200, top5_acc: 0.9050, loss_cls: 5.2061, loss: 5.2061 |
| 2025-06-02 01:31:50,483 - pyskl - INFO - Epoch [95][800/1027] lr: 7.469e-03, eta: 6:15:00, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7013, top5_acc: 0.9038, loss_cls: 5.0768, loss: 5.0768 |
| 2025-06-02 01:32:28,650 - pyskl - INFO - Epoch [95][900/1027] lr: 7.446e-03, eta: 6:14:19, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6731, top5_acc: 0.8912, loss_cls: 5.3870, loss: 5.3870 |
| 2025-06-02 01:33:06,978 - pyskl - INFO - Epoch [95][1000/1027] lr: 7.422e-03, eta: 6:13:39, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.6863, top5_acc: 0.8881, loss_cls: 5.3092, loss: 5.3092 |
| 2025-06-02 01:33:18,169 - pyskl - INFO - Saving checkpoint at 95 epochs |
| 2025-06-02 01:52:42,359 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 01:52:42,429 - pyskl - INFO - |
| top1_acc 0.5921 |
| top5_acc 0.8521 |
| 2025-06-02 01:52:42,429 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 01:52:42,436 - pyskl - INFO - |
| mean_acc 0.5929 |
| 2025-06-02 01:52:42,437 - pyskl - INFO - Epoch(val) [95][413] top1_acc: 0.5921, top5_acc: 0.8521, mean_class_accuracy: 0.5929 |
| 2025-06-02 01:53:45,676 - pyskl - INFO - Epoch [96][100/1027] lr: 7.393e-03, eta: 6:12:56, time: 0.632, data_time: 0.252, memory: 7959, top1_acc: 0.7562, top5_acc: 0.9187, loss_cls: 5.0358, loss: 5.0358 |
| 2025-06-02 01:54:23,466 - pyskl - INFO - Epoch [96][200/1027] lr: 7.369e-03, eta: 6:12:15, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.7500, top5_acc: 0.9113, loss_cls: 4.9416, loss: 4.9416 |
| 2025-06-02 01:55:01,549 - pyskl - INFO - Epoch [96][300/1027] lr: 7.346e-03, eta: 6:11:34, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7325, top5_acc: 0.8956, loss_cls: 5.1637, loss: 5.1637 |
| 2025-06-02 01:55:39,934 - pyskl - INFO - Epoch [96][400/1027] lr: 7.323e-03, eta: 6:10:54, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7250, top5_acc: 0.9044, loss_cls: 5.1250, loss: 5.1250 |
| 2025-06-02 01:56:18,241 - pyskl - INFO - Epoch [96][500/1027] lr: 7.300e-03, eta: 6:10:13, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7175, top5_acc: 0.9163, loss_cls: 5.0811, loss: 5.0811 |
| 2025-06-02 01:56:56,719 - pyskl - INFO - Epoch [96][600/1027] lr: 7.277e-03, eta: 6:09:33, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6969, top5_acc: 0.8912, loss_cls: 5.2260, loss: 5.2260 |
| 2025-06-02 01:57:34,967 - pyskl - INFO - Epoch [96][700/1027] lr: 7.254e-03, eta: 6:08:53, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7181, top5_acc: 0.9163, loss_cls: 5.0266, loss: 5.0266 |
| 2025-06-02 01:58:13,188 - pyskl - INFO - Epoch [96][800/1027] lr: 7.230e-03, eta: 6:08:12, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7050, top5_acc: 0.8962, loss_cls: 5.1757, loss: 5.1757 |
| 2025-06-02 01:58:51,411 - pyskl - INFO - Epoch [96][900/1027] lr: 7.207e-03, eta: 6:07:32, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7000, top5_acc: 0.8919, loss_cls: 5.2154, loss: 5.2154 |
| 2025-06-02 01:59:29,842 - pyskl - INFO - Epoch [96][1000/1027] lr: 7.184e-03, eta: 6:06:51, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7119, top5_acc: 0.9025, loss_cls: 5.1256, loss: 5.1256 |
| 2025-06-02 01:59:41,155 - pyskl - INFO - Saving checkpoint at 96 epochs |
| 2025-06-02 02:00:18,673 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:00:18,745 - pyskl - INFO - |
| top1_acc 0.5981 |
| top5_acc 0.8644 |
| 2025-06-02 02:00:18,745 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:00:18,752 - pyskl - INFO - |
| mean_acc 0.5972 |
| 2025-06-02 02:00:18,812 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_90.pth was removed |
| 2025-06-02 02:00:20,326 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_96.pth. |
| 2025-06-02 02:00:20,328 - pyskl - INFO - Best top1_acc is 0.5981 at 96 epoch. |
| 2025-06-02 02:00:20,330 - pyskl - INFO - Epoch(val) [96][413] top1_acc: 0.5981, top5_acc: 0.8644, mean_class_accuracy: 0.5972 |
| 2025-06-02 02:01:24,365 - pyskl - INFO - Epoch [97][100/1027] lr: 7.155e-03, eta: 6:06:08, time: 0.640, data_time: 0.259, memory: 7959, top1_acc: 0.7444, top5_acc: 0.9231, loss_cls: 4.9778, loss: 4.9778 |
| 2025-06-02 02:02:02,691 - pyskl - INFO - Epoch [97][200/1027] lr: 7.132e-03, eta: 6:05:28, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7412, top5_acc: 0.9187, loss_cls: 5.0304, loss: 5.0304 |
| 2025-06-02 02:02:41,079 - pyskl - INFO - Epoch [97][300/1027] lr: 7.109e-03, eta: 6:04:48, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7438, top5_acc: 0.9213, loss_cls: 4.9923, loss: 4.9923 |
| 2025-06-02 02:03:19,766 - pyskl - INFO - Epoch [97][400/1027] lr: 7.086e-03, eta: 6:04:07, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.7594, top5_acc: 0.9175, loss_cls: 4.8409, loss: 4.8409 |
| 2025-06-02 02:03:58,357 - pyskl - INFO - Epoch [97][500/1027] lr: 7.063e-03, eta: 6:03:27, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9087, loss_cls: 5.1119, loss: 5.1119 |
| 2025-06-02 02:04:36,569 - pyskl - INFO - Epoch [97][600/1027] lr: 7.040e-03, eta: 6:02:47, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7181, top5_acc: 0.8969, loss_cls: 5.1793, loss: 5.1793 |
| 2025-06-02 02:05:14,646 - pyskl - INFO - Epoch [97][700/1027] lr: 7.017e-03, eta: 6:02:06, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7056, top5_acc: 0.9081, loss_cls: 5.1039, loss: 5.1039 |
| 2025-06-02 02:05:52,872 - pyskl - INFO - Epoch [97][800/1027] lr: 6.994e-03, eta: 6:01:25, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7269, top5_acc: 0.9019, loss_cls: 5.2756, loss: 5.2756 |
| 2025-06-02 02:06:31,031 - pyskl - INFO - Epoch [97][900/1027] lr: 6.971e-03, eta: 6:00:45, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.6850, top5_acc: 0.9006, loss_cls: 5.2993, loss: 5.2993 |
| 2025-06-02 02:07:09,365 - pyskl - INFO - Epoch [97][1000/1027] lr: 6.948e-03, eta: 6:00:05, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7100, top5_acc: 0.9019, loss_cls: 5.0842, loss: 5.0842 |
| 2025-06-02 02:07:20,559 - pyskl - INFO - Saving checkpoint at 97 epochs |
| 2025-06-02 02:07:58,010 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:07:58,082 - pyskl - INFO - |
| top1_acc 0.5993 |
| top5_acc 0.8610 |
| 2025-06-02 02:07:58,082 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:07:58,090 - pyskl - INFO - |
| mean_acc 0.5978 |
| 2025-06-02 02:07:58,149 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_96.pth was removed |
| 2025-06-02 02:07:59,715 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. |
| 2025-06-02 02:07:59,717 - pyskl - INFO - Best top1_acc is 0.5993 at 97 epoch. |
| 2025-06-02 02:07:59,720 - pyskl - INFO - Epoch(val) [97][413] top1_acc: 0.5993, top5_acc: 0.8610, mean_class_accuracy: 0.5978 |
| 2025-06-02 02:09:03,290 - pyskl - INFO - Epoch [98][100/1027] lr: 6.919e-03, eta: 5:59:21, time: 0.636, data_time: 0.254, memory: 7959, top1_acc: 0.7619, top5_acc: 0.9350, loss_cls: 4.8439, loss: 4.8439 |
| 2025-06-02 02:09:41,291 - pyskl - INFO - Epoch [98][200/1027] lr: 6.897e-03, eta: 5:58:41, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7481, top5_acc: 0.9219, loss_cls: 4.9837, loss: 4.9837 |
| 2025-06-02 02:10:19,455 - pyskl - INFO - Epoch [98][300/1027] lr: 6.874e-03, eta: 5:58:00, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7606, top5_acc: 0.9250, loss_cls: 4.9810, loss: 4.9810 |
| 2025-06-02 02:10:57,618 - pyskl - INFO - Epoch [98][400/1027] lr: 6.851e-03, eta: 5:57:20, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7488, top5_acc: 0.9213, loss_cls: 4.9718, loss: 4.9718 |
| 2025-06-02 02:11:36,193 - pyskl - INFO - Epoch [98][500/1027] lr: 6.828e-03, eta: 5:56:39, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.7488, top5_acc: 0.9200, loss_cls: 5.0387, loss: 5.0387 |
| 2025-06-02 02:12:14,390 - pyskl - INFO - Epoch [98][600/1027] lr: 6.806e-03, eta: 5:55:59, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7388, top5_acc: 0.9156, loss_cls: 5.0081, loss: 5.0081 |
| 2025-06-02 02:12:52,503 - pyskl - INFO - Epoch [98][700/1027] lr: 6.783e-03, eta: 5:55:18, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7344, top5_acc: 0.9056, loss_cls: 5.1304, loss: 5.1304 |
| 2025-06-02 02:13:31,041 - pyskl - INFO - Epoch [98][800/1027] lr: 6.760e-03, eta: 5:54:38, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7163, top5_acc: 0.8975, loss_cls: 5.2288, loss: 5.2288 |
| 2025-06-02 02:14:09,394 - pyskl - INFO - Epoch [98][900/1027] lr: 6.738e-03, eta: 5:53:58, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7175, top5_acc: 0.9012, loss_cls: 5.0422, loss: 5.0422 |
| 2025-06-02 02:14:47,698 - pyskl - INFO - Epoch [98][1000/1027] lr: 6.715e-03, eta: 5:53:17, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7106, top5_acc: 0.9056, loss_cls: 5.1891, loss: 5.1891 |
| 2025-06-02 02:14:58,730 - pyskl - INFO - Saving checkpoint at 98 epochs |
| 2025-06-02 02:15:36,625 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:15:36,696 - pyskl - INFO - |
| top1_acc 0.5966 |
| top5_acc 0.8576 |
| 2025-06-02 02:15:36,696 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:15:36,709 - pyskl - INFO - |
| mean_acc 0.6007 |
| 2025-06-02 02:15:36,711 - pyskl - INFO - Epoch(val) [98][413] top1_acc: 0.5966, top5_acc: 0.8576, mean_class_accuracy: 0.6007 |
| 2025-06-02 02:16:40,771 - pyskl - INFO - Epoch [99][100/1027] lr: 6.686e-03, eta: 5:52:34, time: 0.641, data_time: 0.259, memory: 7959, top1_acc: 0.7619, top5_acc: 0.9263, loss_cls: 4.8543, loss: 4.8543 |
| 2025-06-02 02:17:18,788 - pyskl - INFO - Epoch [99][200/1027] lr: 6.664e-03, eta: 5:51:54, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7719, top5_acc: 0.9350, loss_cls: 4.8414, loss: 4.8414 |
| 2025-06-02 02:17:57,056 - pyskl - INFO - Epoch [99][300/1027] lr: 6.641e-03, eta: 5:51:13, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7656, top5_acc: 0.9344, loss_cls: 4.9275, loss: 4.9275 |
| 2025-06-02 02:18:35,514 - pyskl - INFO - Epoch [99][400/1027] lr: 6.619e-03, eta: 5:50:33, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.7562, top5_acc: 0.9225, loss_cls: 4.9334, loss: 4.9334 |
| 2025-06-02 02:19:13,908 - pyskl - INFO - Epoch [99][500/1027] lr: 6.596e-03, eta: 5:49:53, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7731, top5_acc: 0.9206, loss_cls: 4.8717, loss: 4.8717 |
| 2025-06-02 02:19:52,131 - pyskl - INFO - Epoch [99][600/1027] lr: 6.574e-03, eta: 5:49:12, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7262, top5_acc: 0.9075, loss_cls: 5.0557, loss: 5.0557 |
| 2025-06-02 02:20:30,323 - pyskl - INFO - Epoch [99][700/1027] lr: 6.551e-03, eta: 5:48:32, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7356, top5_acc: 0.9181, loss_cls: 5.0666, loss: 5.0666 |
| 2025-06-02 02:21:08,539 - pyskl - INFO - Epoch [99][800/1027] lr: 6.529e-03, eta: 5:47:51, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9119, loss_cls: 5.0344, loss: 5.0344 |
| 2025-06-02 02:21:47,285 - pyskl - INFO - Epoch [99][900/1027] lr: 6.507e-03, eta: 5:47:11, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.7275, top5_acc: 0.9113, loss_cls: 5.0867, loss: 5.0867 |
| 2025-06-02 02:22:25,646 - pyskl - INFO - Epoch [99][1000/1027] lr: 6.484e-03, eta: 5:46:31, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.6987, top5_acc: 0.9056, loss_cls: 5.1165, loss: 5.1165 |
| 2025-06-02 02:22:36,993 - pyskl - INFO - Saving checkpoint at 99 epochs |
| 2025-06-02 02:23:14,389 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:23:14,460 - pyskl - INFO - |
| top1_acc 0.6028 |
| top5_acc 0.8665 |
| 2025-06-02 02:23:14,460 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:23:14,467 - pyskl - INFO - |
| mean_acc 0.6080 |
| 2025-06-02 02:23:14,525 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_97.pth was removed |
| 2025-06-02 02:23:16,156 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. |
| 2025-06-02 02:23:16,158 - pyskl - INFO - Best top1_acc is 0.6028 at 99 epoch. |
| 2025-06-02 02:23:16,160 - pyskl - INFO - Epoch(val) [99][413] top1_acc: 0.6028, top5_acc: 0.8665, mean_class_accuracy: 0.6080 |
| 2025-06-02 02:24:19,994 - pyskl - INFO - Epoch [100][100/1027] lr: 6.456e-03, eta: 5:45:47, time: 0.638, data_time: 0.256, memory: 7959, top1_acc: 0.7581, top5_acc: 0.9375, loss_cls: 4.8120, loss: 4.8120 |
| 2025-06-02 02:24:58,042 - pyskl - INFO - Epoch [100][200/1027] lr: 6.434e-03, eta: 5:45:07, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7650, top5_acc: 0.9313, loss_cls: 4.9916, loss: 4.9916 |
| 2025-06-02 02:25:36,308 - pyskl - INFO - Epoch [100][300/1027] lr: 6.411e-03, eta: 5:44:26, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7669, top5_acc: 0.9313, loss_cls: 4.8729, loss: 4.8729 |
| 2025-06-02 02:26:14,615 - pyskl - INFO - Epoch [100][400/1027] lr: 6.389e-03, eta: 5:43:46, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7731, top5_acc: 0.9281, loss_cls: 4.7734, loss: 4.7734 |
| 2025-06-02 02:26:52,874 - pyskl - INFO - Epoch [100][500/1027] lr: 6.367e-03, eta: 5:43:06, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7681, top5_acc: 0.9200, loss_cls: 4.9075, loss: 4.9075 |
| 2025-06-02 02:27:30,823 - pyskl - INFO - Epoch [100][600/1027] lr: 6.345e-03, eta: 5:42:25, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7475, top5_acc: 0.9219, loss_cls: 4.9561, loss: 4.9561 |
| 2025-06-02 02:28:09,022 - pyskl - INFO - Epoch [100][700/1027] lr: 6.323e-03, eta: 5:41:45, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7475, top5_acc: 0.9200, loss_cls: 4.8969, loss: 4.8969 |
| 2025-06-02 02:28:47,186 - pyskl - INFO - Epoch [100][800/1027] lr: 6.300e-03, eta: 5:41:04, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9187, loss_cls: 4.9670, loss: 4.9670 |
| 2025-06-02 02:29:25,341 - pyskl - INFO - Epoch [100][900/1027] lr: 6.278e-03, eta: 5:40:24, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7350, top5_acc: 0.9156, loss_cls: 5.0032, loss: 5.0032 |
| 2025-06-02 02:30:03,765 - pyskl - INFO - Epoch [100][1000/1027] lr: 6.256e-03, eta: 5:39:43, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.7294, top5_acc: 0.9075, loss_cls: 5.0764, loss: 5.0764 |
| 2025-06-02 02:30:15,098 - pyskl - INFO - Saving checkpoint at 100 epochs |
| 2025-06-02 02:49:41,118 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:49:41,184 - pyskl - INFO - |
| top1_acc 0.6090 |
| top5_acc 0.8647 |
| 2025-06-02 02:49:41,185 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:49:41,191 - pyskl - INFO - |
| mean_acc 0.6069 |
| 2025-06-02 02:49:41,251 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_99.pth was removed |
| 2025-06-02 02:49:42,730 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_100.pth. |
| 2025-06-02 02:49:42,731 - pyskl - INFO - Best top1_acc is 0.6090 at 100 epoch. |
| 2025-06-02 02:49:42,734 - pyskl - INFO - Epoch(val) [100][413] top1_acc: 0.6090, top5_acc: 0.8647, mean_class_accuracy: 0.6069 |
| 2025-06-02 02:50:45,006 - pyskl - INFO - Epoch [101][100/1027] lr: 6.228e-03, eta: 5:38:59, time: 0.623, data_time: 0.244, memory: 7959, top1_acc: 0.7931, top5_acc: 0.9425, loss_cls: 4.7511, loss: 4.7511 |
| 2025-06-02 02:51:23,201 - pyskl - INFO - Epoch [101][200/1027] lr: 6.206e-03, eta: 5:38:18, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7775, top5_acc: 0.9275, loss_cls: 4.8232, loss: 4.8232 |
| 2025-06-02 02:52:01,432 - pyskl - INFO - Epoch [101][300/1027] lr: 6.184e-03, eta: 5:37:38, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7669, top5_acc: 0.9194, loss_cls: 4.7345, loss: 4.7345 |
| 2025-06-02 02:52:39,375 - pyskl - INFO - Epoch [101][400/1027] lr: 6.162e-03, eta: 5:36:57, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7675, top5_acc: 0.9275, loss_cls: 4.7162, loss: 4.7162 |
| 2025-06-02 02:53:17,415 - pyskl - INFO - Epoch [101][500/1027] lr: 6.140e-03, eta: 5:36:17, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7481, top5_acc: 0.9306, loss_cls: 4.9768, loss: 4.9768 |
| 2025-06-02 02:53:55,650 - pyskl - INFO - Epoch [101][600/1027] lr: 6.118e-03, eta: 5:35:37, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7669, top5_acc: 0.9331, loss_cls: 4.8607, loss: 4.8607 |
| 2025-06-02 02:54:33,540 - pyskl - INFO - Epoch [101][700/1027] lr: 6.096e-03, eta: 5:34:56, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7544, top5_acc: 0.9231, loss_cls: 4.9769, loss: 4.9769 |
| 2025-06-02 02:55:11,604 - pyskl - INFO - Epoch [101][800/1027] lr: 6.074e-03, eta: 5:34:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9169, loss_cls: 4.9623, loss: 4.9623 |
| 2025-06-02 02:55:49,634 - pyskl - INFO - Epoch [101][900/1027] lr: 6.053e-03, eta: 5:33:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7756, top5_acc: 0.9313, loss_cls: 4.9188, loss: 4.9188 |
| 2025-06-02 02:56:27,675 - pyskl - INFO - Epoch [101][1000/1027] lr: 6.031e-03, eta: 5:32:55, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9169, loss_cls: 4.9838, loss: 4.9838 |
| 2025-06-02 02:56:38,676 - pyskl - INFO - Saving checkpoint at 101 epochs |
| 2025-06-02 02:57:15,738 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 02:57:15,808 - pyskl - INFO - |
| top1_acc 0.6116 |
| top5_acc 0.8610 |
| 2025-06-02 02:57:15,809 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 02:57:15,816 - pyskl - INFO - |
| mean_acc 0.6130 |
| 2025-06-02 02:57:15,874 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_100.pth was removed |
| 2025-06-02 02:57:17,424 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. |
| 2025-06-02 02:57:17,426 - pyskl - INFO - Best top1_acc is 0.6116 at 101 epoch. |
| 2025-06-02 02:57:17,429 - pyskl - INFO - Epoch(val) [101][413] top1_acc: 0.6116, top5_acc: 0.8610, mean_class_accuracy: 0.6130 |
| 2025-06-02 02:58:20,883 - pyskl - INFO - Epoch [102][100/1027] lr: 6.003e-03, eta: 5:32:11, time: 0.634, data_time: 0.252, memory: 7959, top1_acc: 0.8025, top5_acc: 0.9369, loss_cls: 4.7171, loss: 4.7171 |
| 2025-06-02 02:58:59,469 - pyskl - INFO - Epoch [102][200/1027] lr: 5.981e-03, eta: 5:31:30, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.8044, top5_acc: 0.9456, loss_cls: 4.7344, loss: 4.7344 |
| 2025-06-02 02:59:37,801 - pyskl - INFO - Epoch [102][300/1027] lr: 5.960e-03, eta: 5:30:50, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7937, top5_acc: 0.9456, loss_cls: 4.7356, loss: 4.7356 |
| 2025-06-02 03:00:15,710 - pyskl - INFO - Epoch [102][400/1027] lr: 5.938e-03, eta: 5:30:09, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7863, top5_acc: 0.9337, loss_cls: 4.7084, loss: 4.7084 |
| 2025-06-02 03:00:53,723 - pyskl - INFO - Epoch [102][500/1027] lr: 5.916e-03, eta: 5:29:29, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7769, top5_acc: 0.9325, loss_cls: 4.7952, loss: 4.7952 |
| 2025-06-02 03:01:31,715 - pyskl - INFO - Epoch [102][600/1027] lr: 5.895e-03, eta: 5:28:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7844, top5_acc: 0.9356, loss_cls: 4.7509, loss: 4.7509 |
| 2025-06-02 03:02:09,625 - pyskl - INFO - Epoch [102][700/1027] lr: 5.873e-03, eta: 5:28:08, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7431, top5_acc: 0.9213, loss_cls: 5.1176, loss: 5.1176 |
| 2025-06-02 03:02:47,697 - pyskl - INFO - Epoch [102][800/1027] lr: 5.851e-03, eta: 5:27:28, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7606, top5_acc: 0.9337, loss_cls: 4.8629, loss: 4.8629 |
| 2025-06-02 03:03:25,718 - pyskl - INFO - Epoch [102][900/1027] lr: 5.830e-03, eta: 5:26:47, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7450, top5_acc: 0.9313, loss_cls: 4.8355, loss: 4.8355 |
| 2025-06-02 03:04:03,619 - pyskl - INFO - Epoch [102][1000/1027] lr: 5.808e-03, eta: 5:26:07, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7550, top5_acc: 0.9181, loss_cls: 4.9231, loss: 4.9231 |
| 2025-06-02 03:04:14,713 - pyskl - INFO - Saving checkpoint at 102 epochs |
| 2025-06-02 03:04:51,477 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 03:04:51,546 - pyskl - INFO - |
| top1_acc 0.6122 |
| top5_acc 0.8638 |
| 2025-06-02 03:04:51,546 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 03:04:51,554 - pyskl - INFO - |
| mean_acc 0.6114 |
| 2025-06-02 03:04:51,612 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_101.pth was removed |
| 2025-06-02 03:04:53,115 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth. |
| 2025-06-02 03:04:53,117 - pyskl - INFO - Best top1_acc is 0.6122 at 102 epoch. |
| 2025-06-02 03:04:53,120 - pyskl - INFO - Epoch(val) [102][413] top1_acc: 0.6122, top5_acc: 0.8638, mean_class_accuracy: 0.6114 |
| 2025-06-02 03:05:57,167 - pyskl - INFO - Epoch [103][100/1027] lr: 5.781e-03, eta: 5:25:23, time: 0.640, data_time: 0.254, memory: 7959, top1_acc: 0.8037, top5_acc: 0.9500, loss_cls: 4.6764, loss: 4.6764 |
| 2025-06-02 03:06:35,764 - pyskl - INFO - Epoch [103][200/1027] lr: 5.759e-03, eta: 5:24:42, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.8031, top5_acc: 0.9394, loss_cls: 4.5144, loss: 4.5144 |
| 2025-06-02 03:07:14,039 - pyskl - INFO - Epoch [103][300/1027] lr: 5.738e-03, eta: 5:24:02, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.7863, top5_acc: 0.9400, loss_cls: 4.7353, loss: 4.7353 |
| 2025-06-02 03:07:52,118 - pyskl - INFO - Epoch [103][400/1027] lr: 5.717e-03, eta: 5:23:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7887, top5_acc: 0.9419, loss_cls: 4.7201, loss: 4.7201 |
| 2025-06-02 03:08:30,225 - pyskl - INFO - Epoch [103][500/1027] lr: 5.695e-03, eta: 5:22:41, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7844, top5_acc: 0.9337, loss_cls: 4.6940, loss: 4.6940 |
| 2025-06-02 03:09:08,430 - pyskl - INFO - Epoch [103][600/1027] lr: 5.674e-03, eta: 5:22:01, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7781, top5_acc: 0.9269, loss_cls: 4.8127, loss: 4.8127 |
| 2025-06-02 03:09:46,524 - pyskl - INFO - Epoch [103][700/1027] lr: 5.652e-03, eta: 5:21:20, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7881, top5_acc: 0.9350, loss_cls: 4.7627, loss: 4.7627 |
| 2025-06-02 03:10:24,526 - pyskl - INFO - Epoch [103][800/1027] lr: 5.631e-03, eta: 5:20:40, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7831, top5_acc: 0.9425, loss_cls: 4.7111, loss: 4.7111 |
| 2025-06-02 03:11:02,635 - pyskl - INFO - Epoch [103][900/1027] lr: 5.610e-03, eta: 5:20:00, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7681, top5_acc: 0.9325, loss_cls: 4.8107, loss: 4.8107 |
| 2025-06-02 03:11:40,700 - pyskl - INFO - Epoch [103][1000/1027] lr: 5.589e-03, eta: 5:19:19, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7738, top5_acc: 0.9413, loss_cls: 4.8206, loss: 4.8206 |
| 2025-06-02 03:11:51,961 - pyskl - INFO - Saving checkpoint at 103 epochs |
| 2025-06-02 03:12:29,344 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 03:12:29,415 - pyskl - INFO - |
| top1_acc 0.5999 |
| top5_acc 0.8612 |
| 2025-06-02 03:12:29,415 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 03:12:29,423 - pyskl - INFO - |
| mean_acc 0.6026 |
| 2025-06-02 03:12:29,424 - pyskl - INFO - Epoch(val) [103][413] top1_acc: 0.5999, top5_acc: 0.8612, mean_class_accuracy: 0.6026 |
| 2025-06-02 03:13:33,405 - pyskl - INFO - Epoch [104][100/1027] lr: 5.562e-03, eta: 5:18:35, time: 0.640, data_time: 0.254, memory: 7959, top1_acc: 0.8156, top5_acc: 0.9556, loss_cls: 4.6466, loss: 4.6466 |
| 2025-06-02 03:14:11,928 - pyskl - INFO - Epoch [104][200/1027] lr: 5.540e-03, eta: 5:17:55, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.8187, top5_acc: 0.9413, loss_cls: 4.7034, loss: 4.7034 |
| 2025-06-02 03:14:50,194 - pyskl - INFO - Epoch [104][300/1027] lr: 5.519e-03, eta: 5:17:15, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.8000, top5_acc: 0.9487, loss_cls: 4.5744, loss: 4.5744 |
| 2025-06-02 03:15:28,117 - pyskl - INFO - Epoch [104][400/1027] lr: 5.498e-03, eta: 5:16:34, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8006, top5_acc: 0.9337, loss_cls: 4.7726, loss: 4.7726 |
| 2025-06-02 03:16:06,163 - pyskl - INFO - Epoch [104][500/1027] lr: 5.477e-03, eta: 5:15:54, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8044, top5_acc: 0.9469, loss_cls: 4.6056, loss: 4.6056 |
| 2025-06-02 03:16:44,375 - pyskl - INFO - Epoch [104][600/1027] lr: 5.456e-03, eta: 5:15:13, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7831, top5_acc: 0.9425, loss_cls: 4.8034, loss: 4.8034 |
| 2025-06-02 03:17:22,336 - pyskl - INFO - Epoch [104][700/1027] lr: 5.435e-03, eta: 5:14:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7944, top5_acc: 0.9406, loss_cls: 4.7430, loss: 4.7430 |
| 2025-06-02 03:18:00,361 - pyskl - INFO - Epoch [104][800/1027] lr: 5.414e-03, eta: 5:13:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7956, top5_acc: 0.9425, loss_cls: 4.7090, loss: 4.7090 |
| 2025-06-02 03:18:38,439 - pyskl - INFO - Epoch [104][900/1027] lr: 5.393e-03, eta: 5:13:12, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7837, top5_acc: 0.9363, loss_cls: 4.8252, loss: 4.8252 |
| 2025-06-02 03:19:16,577 - pyskl - INFO - Epoch [104][1000/1027] lr: 5.372e-03, eta: 5:12:32, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7937, top5_acc: 0.9394, loss_cls: 4.6962, loss: 4.6962 |
| 2025-06-02 03:19:27,649 - pyskl - INFO - Saving checkpoint at 104 epochs |
| 2025-06-02 03:20:04,985 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 03:20:05,059 - pyskl - INFO - |
| top1_acc 0.6166 |
| top5_acc 0.8685 |
| 2025-06-02 03:20:05,059 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 03:20:05,071 - pyskl - INFO - |
| mean_acc 0.6217 |
| 2025-06-02 03:20:05,154 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_102.pth was removed |
| 2025-06-02 03:20:06,711 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. |
| 2025-06-02 03:20:06,713 - pyskl - INFO - Best top1_acc is 0.6166 at 104 epoch. |
| 2025-06-02 03:20:06,716 - pyskl - INFO - Epoch(val) [104][413] top1_acc: 0.6166, top5_acc: 0.8685, mean_class_accuracy: 0.6217 |
| 2025-06-02 03:21:10,593 - pyskl - INFO - Epoch [105][100/1027] lr: 5.345e-03, eta: 5:11:47, time: 0.639, data_time: 0.254, memory: 7959, top1_acc: 0.8169, top5_acc: 0.9481, loss_cls: 4.5830, loss: 4.5830 |
| 2025-06-02 03:21:49,138 - pyskl - INFO - Epoch [105][200/1027] lr: 5.324e-03, eta: 5:11:07, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.8337, top5_acc: 0.9556, loss_cls: 4.4281, loss: 4.4281 |
| 2025-06-02 03:22:27,543 - pyskl - INFO - Epoch [105][300/1027] lr: 5.304e-03, eta: 5:10:27, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.8087, top5_acc: 0.9563, loss_cls: 4.6018, loss: 4.6018 |
| 2025-06-02 03:23:05,570 - pyskl - INFO - Epoch [105][400/1027] lr: 5.283e-03, eta: 5:09:46, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7812, top5_acc: 0.9437, loss_cls: 4.7642, loss: 4.7642 |
| 2025-06-02 03:23:43,743 - pyskl - INFO - Epoch [105][500/1027] lr: 5.262e-03, eta: 5:09:06, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7963, top5_acc: 0.9506, loss_cls: 4.6813, loss: 4.6813 |
| 2025-06-02 03:24:21,824 - pyskl - INFO - Epoch [105][600/1027] lr: 5.241e-03, eta: 5:08:26, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8100, top5_acc: 0.9494, loss_cls: 4.5979, loss: 4.5979 |
| 2025-06-02 03:24:59,781 - pyskl - INFO - Epoch [105][700/1027] lr: 5.220e-03, eta: 5:07:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7981, top5_acc: 0.9475, loss_cls: 4.6761, loss: 4.6761 |
| 2025-06-02 03:25:37,928 - pyskl - INFO - Epoch [105][800/1027] lr: 5.200e-03, eta: 5:07:05, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7788, top5_acc: 0.9463, loss_cls: 4.7588, loss: 4.7588 |
| 2025-06-02 03:26:16,018 - pyskl - INFO - Epoch [105][900/1027] lr: 5.179e-03, eta: 5:06:25, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7887, top5_acc: 0.9406, loss_cls: 4.6607, loss: 4.6607 |
| 2025-06-02 03:26:54,120 - pyskl - INFO - Epoch [105][1000/1027] lr: 5.158e-03, eta: 5:05:44, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.7719, top5_acc: 0.9456, loss_cls: 4.7886, loss: 4.7886 |
| 2025-06-02 03:27:05,316 - pyskl - INFO - Saving checkpoint at 105 epochs |
| 2025-06-02 03:48:00,647 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 03:48:00,728 - pyskl - INFO - |
| top1_acc 0.6099 |
| top5_acc 0.8571 |
| 2025-06-02 03:48:00,728 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 03:48:00,735 - pyskl - INFO - |
| mean_acc 0.6105 |
| 2025-06-02 03:48:00,737 - pyskl - INFO - Epoch(val) [105][413] top1_acc: 0.6099, top5_acc: 0.8571, mean_class_accuracy: 0.6105 |
| 2025-06-02 03:49:04,321 - pyskl - INFO - Epoch [106][100/1027] lr: 5.132e-03, eta: 5:05:00, time: 0.636, data_time: 0.253, memory: 7959, top1_acc: 0.8387, top5_acc: 0.9569, loss_cls: 4.4415, loss: 4.4415 |
| 2025-06-02 03:49:42,549 - pyskl - INFO - Epoch [106][200/1027] lr: 5.112e-03, eta: 5:04:19, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8562, top5_acc: 0.9569, loss_cls: 4.5058, loss: 4.5058 |
| 2025-06-02 03:50:20,570 - pyskl - INFO - Epoch [106][300/1027] lr: 5.091e-03, eta: 5:03:39, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8225, top5_acc: 0.9537, loss_cls: 4.5681, loss: 4.5681 |
| 2025-06-02 03:50:58,505 - pyskl - INFO - Epoch [106][400/1027] lr: 5.071e-03, eta: 5:02:58, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8231, top5_acc: 0.9537, loss_cls: 4.5469, loss: 4.5469 |
| 2025-06-02 03:51:36,529 - pyskl - INFO - Epoch [106][500/1027] lr: 5.050e-03, eta: 5:02:18, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8294, top5_acc: 0.9506, loss_cls: 4.6252, loss: 4.6252 |
| 2025-06-02 03:52:14,539 - pyskl - INFO - Epoch [106][600/1027] lr: 5.030e-03, eta: 5:01:38, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8081, top5_acc: 0.9519, loss_cls: 4.4444, loss: 4.4444 |
| 2025-06-02 03:52:52,491 - pyskl - INFO - Epoch [106][700/1027] lr: 5.009e-03, eta: 5:00:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.7906, top5_acc: 0.9387, loss_cls: 4.7089, loss: 4.7089 |
| 2025-06-02 03:53:30,435 - pyskl - INFO - Epoch [106][800/1027] lr: 4.989e-03, eta: 5:00:17, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8175, top5_acc: 0.9519, loss_cls: 4.5907, loss: 4.5907 |
| 2025-06-02 03:54:08,308 - pyskl - INFO - Epoch [106][900/1027] lr: 4.969e-03, eta: 4:59:36, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.7925, top5_acc: 0.9475, loss_cls: 4.6757, loss: 4.6757 |
| 2025-06-02 03:54:46,509 - pyskl - INFO - Epoch [106][1000/1027] lr: 4.948e-03, eta: 4:58:56, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.7831, top5_acc: 0.9369, loss_cls: 4.6496, loss: 4.6496 |
| 2025-06-02 03:54:57,664 - pyskl - INFO - Saving checkpoint at 106 epochs |
| 2025-06-02 03:55:35,349 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 03:55:35,419 - pyskl - INFO - |
| top1_acc 0.6089 |
| top5_acc 0.8607 |
| 2025-06-02 03:55:35,419 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 03:55:35,426 - pyskl - INFO - |
| mean_acc 0.6116 |
| 2025-06-02 03:55:35,427 - pyskl - INFO - Epoch(val) [106][413] top1_acc: 0.6089, top5_acc: 0.8607, mean_class_accuracy: 0.6116 |
| 2025-06-02 03:56:39,615 - pyskl - INFO - Epoch [107][100/1027] lr: 4.922e-03, eta: 4:58:11, time: 0.642, data_time: 0.257, memory: 7959, top1_acc: 0.8469, top5_acc: 0.9619, loss_cls: 4.3233, loss: 4.3233 |
| 2025-06-02 03:57:17,843 - pyskl - INFO - Epoch [107][200/1027] lr: 4.902e-03, eta: 4:57:31, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8250, top5_acc: 0.9506, loss_cls: 4.7195, loss: 4.7195 |
| 2025-06-02 03:57:56,046 - pyskl - INFO - Epoch [107][300/1027] lr: 4.882e-03, eta: 4:56:51, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8381, top5_acc: 0.9550, loss_cls: 4.4758, loss: 4.4758 |
| 2025-06-02 03:58:34,132 - pyskl - INFO - Epoch [107][400/1027] lr: 4.862e-03, eta: 4:56:11, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8469, top5_acc: 0.9619, loss_cls: 4.4468, loss: 4.4468 |
| 2025-06-02 03:59:12,374 - pyskl - INFO - Epoch [107][500/1027] lr: 4.842e-03, eta: 4:55:30, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8319, top5_acc: 0.9581, loss_cls: 4.5102, loss: 4.5102 |
| 2025-06-02 03:59:50,513 - pyskl - INFO - Epoch [107][600/1027] lr: 4.821e-03, eta: 4:54:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8206, top5_acc: 0.9550, loss_cls: 4.5518, loss: 4.5518 |
| 2025-06-02 04:00:28,665 - pyskl - INFO - Epoch [107][700/1027] lr: 4.801e-03, eta: 4:54:10, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8150, top5_acc: 0.9487, loss_cls: 4.5950, loss: 4.5950 |
| 2025-06-02 04:01:06,690 - pyskl - INFO - Epoch [107][800/1027] lr: 4.781e-03, eta: 4:53:29, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8119, top5_acc: 0.9475, loss_cls: 4.5813, loss: 4.5813 |
| 2025-06-02 04:01:44,781 - pyskl - INFO - Epoch [107][900/1027] lr: 4.761e-03, eta: 4:52:49, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8069, top5_acc: 0.9394, loss_cls: 4.6201, loss: 4.6201 |
| 2025-06-02 04:02:23,082 - pyskl - INFO - Epoch [107][1000/1027] lr: 4.741e-03, eta: 4:52:09, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.8094, top5_acc: 0.9550, loss_cls: 4.5807, loss: 4.5807 |
| 2025-06-02 04:02:34,208 - pyskl - INFO - Saving checkpoint at 107 epochs |
| 2025-06-02 04:03:12,190 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 04:03:12,262 - pyskl - INFO - |
| top1_acc 0.6083 |
| top5_acc 0.8577 |
| 2025-06-02 04:03:12,262 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 04:03:12,272 - pyskl - INFO - |
| mean_acc 0.6048 |
| 2025-06-02 04:03:12,274 - pyskl - INFO - Epoch(val) [107][413] top1_acc: 0.6083, top5_acc: 0.8577, mean_class_accuracy: 0.6048 |
| 2025-06-02 04:04:16,437 - pyskl - INFO - Epoch [108][100/1027] lr: 4.716e-03, eta: 4:51:24, time: 0.642, data_time: 0.258, memory: 7959, top1_acc: 0.8619, top5_acc: 0.9719, loss_cls: 4.2611, loss: 4.2611 |
| 2025-06-02 04:04:54,647 - pyskl - INFO - Epoch [108][200/1027] lr: 4.696e-03, eta: 4:50:44, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8469, top5_acc: 0.9575, loss_cls: 4.3214, loss: 4.3214 |
| 2025-06-02 04:05:32,675 - pyskl - INFO - Epoch [108][300/1027] lr: 4.676e-03, eta: 4:50:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8394, top5_acc: 0.9669, loss_cls: 4.4561, loss: 4.4561 |
| 2025-06-02 04:06:10,617 - pyskl - INFO - Epoch [108][400/1027] lr: 4.656e-03, eta: 4:49:23, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8406, top5_acc: 0.9581, loss_cls: 4.4405, loss: 4.4405 |
| 2025-06-02 04:06:48,662 - pyskl - INFO - Epoch [108][500/1027] lr: 4.636e-03, eta: 4:48:43, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8350, top5_acc: 0.9594, loss_cls: 4.5707, loss: 4.5707 |
| 2025-06-02 04:07:26,681 - pyskl - INFO - Epoch [108][600/1027] lr: 4.617e-03, eta: 4:48:02, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8200, top5_acc: 0.9656, loss_cls: 4.4441, loss: 4.4441 |
| 2025-06-02 04:08:04,667 - pyskl - INFO - Epoch [108][700/1027] lr: 4.597e-03, eta: 4:47:22, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8263, top5_acc: 0.9494, loss_cls: 4.4734, loss: 4.4734 |
| 2025-06-02 04:08:42,712 - pyskl - INFO - Epoch [108][800/1027] lr: 4.577e-03, eta: 4:46:42, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8206, top5_acc: 0.9581, loss_cls: 4.5473, loss: 4.5473 |
| 2025-06-02 04:09:20,785 - pyskl - INFO - Epoch [108][900/1027] lr: 4.557e-03, eta: 4:46:01, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8100, top5_acc: 0.9525, loss_cls: 4.3974, loss: 4.3974 |
| 2025-06-02 04:09:59,100 - pyskl - INFO - Epoch [108][1000/1027] lr: 4.538e-03, eta: 4:45:21, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.8125, top5_acc: 0.9437, loss_cls: 4.5564, loss: 4.5564 |
| 2025-06-02 04:10:10,245 - pyskl - INFO - Saving checkpoint at 108 epochs |
| 2025-06-02 04:10:48,125 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 04:10:48,196 - pyskl - INFO - |
| top1_acc 0.6090 |
| top5_acc 0.8647 |
| 2025-06-02 04:10:48,196 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 04:10:48,204 - pyskl - INFO - |
| mean_acc 0.6072 |
| 2025-06-02 04:10:48,206 - pyskl - INFO - Epoch(val) [108][413] top1_acc: 0.6090, top5_acc: 0.8647, mean_class_accuracy: 0.6072 |
| 2025-06-02 04:11:52,659 - pyskl - INFO - Epoch [109][100/1027] lr: 4.513e-03, eta: 4:44:36, time: 0.644, data_time: 0.261, memory: 7959, top1_acc: 0.8681, top5_acc: 0.9712, loss_cls: 4.2644, loss: 4.2644 |
| 2025-06-02 04:12:30,927 - pyskl - INFO - Epoch [109][200/1027] lr: 4.493e-03, eta: 4:43:56, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.8694, top5_acc: 0.9663, loss_cls: 4.3095, loss: 4.3095 |
| 2025-06-02 04:13:09,026 - pyskl - INFO - Epoch [109][300/1027] lr: 4.474e-03, eta: 4:43:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8569, top5_acc: 0.9719, loss_cls: 4.3239, loss: 4.3239 |
| 2025-06-02 04:13:47,020 - pyskl - INFO - Epoch [109][400/1027] lr: 4.454e-03, eta: 4:42:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8519, top5_acc: 0.9688, loss_cls: 4.2913, loss: 4.2913 |
| 2025-06-02 04:14:25,069 - pyskl - INFO - Epoch [109][500/1027] lr: 4.435e-03, eta: 4:41:55, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8488, top5_acc: 0.9656, loss_cls: 4.3456, loss: 4.3456 |
| 2025-06-02 04:15:03,113 - pyskl - INFO - Epoch [109][600/1027] lr: 4.415e-03, eta: 4:41:15, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8469, top5_acc: 0.9531, loss_cls: 4.3708, loss: 4.3708 |
| 2025-06-02 04:15:41,039 - pyskl - INFO - Epoch [109][700/1027] lr: 4.396e-03, eta: 4:40:34, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8319, top5_acc: 0.9463, loss_cls: 4.5712, loss: 4.5712 |
| 2025-06-02 04:16:18,913 - pyskl - INFO - Epoch [109][800/1027] lr: 4.376e-03, eta: 4:39:54, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8294, top5_acc: 0.9575, loss_cls: 4.5465, loss: 4.5465 |
| 2025-06-02 04:16:56,915 - pyskl - INFO - Epoch [109][900/1027] lr: 4.357e-03, eta: 4:39:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8300, top5_acc: 0.9575, loss_cls: 4.2632, loss: 4.2632 |
| 2025-06-02 04:17:35,418 - pyskl - INFO - Epoch [109][1000/1027] lr: 4.338e-03, eta: 4:38:34, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.8131, top5_acc: 0.9375, loss_cls: 4.6231, loss: 4.6231 |
| 2025-06-02 04:17:46,564 - pyskl - INFO - Saving checkpoint at 109 epochs |
| 2025-06-02 04:18:24,365 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 04:18:24,497 - pyskl - INFO - |
| top1_acc 0.6162 |
| top5_acc 0.8665 |
| 2025-06-02 04:18:24,498 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 04:18:24,510 - pyskl - INFO - |
| mean_acc 0.6206 |
| 2025-06-02 04:18:24,512 - pyskl - INFO - Epoch(val) [109][413] top1_acc: 0.6162, top5_acc: 0.8665, mean_class_accuracy: 0.6206 |
| 2025-06-02 04:19:28,864 - pyskl - INFO - Epoch [110][100/1027] lr: 4.313e-03, eta: 4:37:49, time: 0.643, data_time: 0.258, memory: 7959, top1_acc: 0.8656, top5_acc: 0.9663, loss_cls: 4.2607, loss: 4.2607 |
| 2025-06-02 04:20:07,100 - pyskl - INFO - Epoch [110][200/1027] lr: 4.294e-03, eta: 4:37:08, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8669, top5_acc: 0.9762, loss_cls: 4.2369, loss: 4.2369 |
| 2025-06-02 04:20:45,218 - pyskl - INFO - Epoch [110][300/1027] lr: 4.275e-03, eta: 4:36:28, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8581, top5_acc: 0.9688, loss_cls: 4.2459, loss: 4.2459 |
| 2025-06-02 04:21:23,324 - pyskl - INFO - Epoch [110][400/1027] lr: 4.256e-03, eta: 4:35:48, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8438, top5_acc: 0.9650, loss_cls: 4.3754, loss: 4.3754 |
| 2025-06-02 04:22:01,489 - pyskl - INFO - Epoch [110][500/1027] lr: 4.236e-03, eta: 4:35:08, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8694, top5_acc: 0.9700, loss_cls: 4.2757, loss: 4.2757 |
| 2025-06-02 04:22:39,655 - pyskl - INFO - Epoch [110][600/1027] lr: 4.217e-03, eta: 4:34:27, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8650, top5_acc: 0.9681, loss_cls: 4.2839, loss: 4.2839 |
| 2025-06-02 04:23:17,717 - pyskl - INFO - Epoch [110][700/1027] lr: 4.198e-03, eta: 4:33:47, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8562, top5_acc: 0.9712, loss_cls: 4.4470, loss: 4.4470 |
| 2025-06-02 04:23:55,767 - pyskl - INFO - Epoch [110][800/1027] lr: 4.179e-03, eta: 4:33:07, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8531, top5_acc: 0.9706, loss_cls: 4.2278, loss: 4.2278 |
| 2025-06-02 04:24:33,782 - pyskl - INFO - Epoch [110][900/1027] lr: 4.160e-03, eta: 4:32:27, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8306, top5_acc: 0.9594, loss_cls: 4.3665, loss: 4.3665 |
| 2025-06-02 04:25:11,882 - pyskl - INFO - Epoch [110][1000/1027] lr: 4.141e-03, eta: 4:31:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8337, top5_acc: 0.9619, loss_cls: 4.4635, loss: 4.4635 |
| 2025-06-02 04:25:22,774 - pyskl - INFO - Saving checkpoint at 110 epochs |
| 2025-06-02 04:44:42,093 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 04:44:42,162 - pyskl - INFO - |
| top1_acc 0.6169 |
| top5_acc 0.8604 |
| 2025-06-02 04:44:42,163 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 04:44:42,170 - pyskl - INFO - |
| mean_acc 0.6177 |
| 2025-06-02 04:44:42,228 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_104.pth was removed |
| 2025-06-02 04:44:43,752 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. |
| 2025-06-02 04:44:43,754 - pyskl - INFO - Best top1_acc is 0.6169 at 110 epoch. |
| 2025-06-02 04:44:43,756 - pyskl - INFO - Epoch(val) [110][413] top1_acc: 0.6169, top5_acc: 0.8604, mean_class_accuracy: 0.6177 |
| 2025-06-02 04:45:47,257 - pyskl - INFO - Epoch [111][100/1027] lr: 4.117e-03, eta: 4:31:01, time: 0.635, data_time: 0.253, memory: 7959, top1_acc: 0.8881, top5_acc: 0.9775, loss_cls: 4.1755, loss: 4.1755 |
| 2025-06-02 04:46:25,359 - pyskl - INFO - Epoch [111][200/1027] lr: 4.098e-03, eta: 4:30:20, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8750, top5_acc: 0.9681, loss_cls: 4.2744, loss: 4.2744 |
| 2025-06-02 04:47:03,389 - pyskl - INFO - Epoch [111][300/1027] lr: 4.079e-03, eta: 4:29:40, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8650, top5_acc: 0.9706, loss_cls: 4.1709, loss: 4.1709 |
| 2025-06-02 04:47:41,403 - pyskl - INFO - Epoch [111][400/1027] lr: 4.061e-03, eta: 4:29:00, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8500, top5_acc: 0.9675, loss_cls: 4.2829, loss: 4.2829 |
| 2025-06-02 04:48:19,526 - pyskl - INFO - Epoch [111][500/1027] lr: 4.042e-03, eta: 4:28:20, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8694, top5_acc: 0.9719, loss_cls: 4.2726, loss: 4.2726 |
| 2025-06-02 04:48:57,415 - pyskl - INFO - Epoch [111][600/1027] lr: 4.023e-03, eta: 4:27:39, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8681, top5_acc: 0.9719, loss_cls: 4.1618, loss: 4.1618 |
| 2025-06-02 04:49:35,465 - pyskl - INFO - Epoch [111][700/1027] lr: 4.004e-03, eta: 4:26:59, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8625, top5_acc: 0.9650, loss_cls: 4.3963, loss: 4.3963 |
| 2025-06-02 04:50:13,474 - pyskl - INFO - Epoch [111][800/1027] lr: 3.986e-03, eta: 4:26:19, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8531, top5_acc: 0.9688, loss_cls: 4.2973, loss: 4.2973 |
| 2025-06-02 04:50:51,371 - pyskl - INFO - Epoch [111][900/1027] lr: 3.967e-03, eta: 4:25:39, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8650, top5_acc: 0.9750, loss_cls: 4.2249, loss: 4.2249 |
| 2025-06-02 04:51:29,172 - pyskl - INFO - Epoch [111][1000/1027] lr: 3.948e-03, eta: 4:24:58, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8544, top5_acc: 0.9694, loss_cls: 4.3777, loss: 4.3777 |
| 2025-06-02 04:51:40,108 - pyskl - INFO - Saving checkpoint at 111 epochs |
| 2025-06-02 04:52:17,334 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 04:52:17,406 - pyskl - INFO - |
| top1_acc 0.6166 |
| top5_acc 0.8615 |
| 2025-06-02 04:52:17,407 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 04:52:17,416 - pyskl - INFO - |
| mean_acc 0.6183 |
| 2025-06-02 04:52:17,419 - pyskl - INFO - Epoch(val) [111][413] top1_acc: 0.6166, top5_acc: 0.8615, mean_class_accuracy: 0.6183 |
| 2025-06-02 04:53:22,482 - pyskl - INFO - Epoch [112][100/1027] lr: 3.925e-03, eta: 4:24:13, time: 0.651, data_time: 0.267, memory: 7959, top1_acc: 0.8925, top5_acc: 0.9806, loss_cls: 4.0632, loss: 4.0632 |
| 2025-06-02 04:54:00,855 - pyskl - INFO - Epoch [112][200/1027] lr: 3.906e-03, eta: 4:23:33, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.8825, top5_acc: 0.9725, loss_cls: 4.2982, loss: 4.2982 |
| 2025-06-02 04:54:38,967 - pyskl - INFO - Epoch [112][300/1027] lr: 3.888e-03, eta: 4:22:53, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8900, top5_acc: 0.9806, loss_cls: 4.2762, loss: 4.2762 |
| 2025-06-02 04:55:17,164 - pyskl - INFO - Epoch [112][400/1027] lr: 3.869e-03, eta: 4:22:12, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8744, top5_acc: 0.9762, loss_cls: 4.1578, loss: 4.1578 |
| 2025-06-02 04:55:55,413 - pyskl - INFO - Epoch [112][500/1027] lr: 3.851e-03, eta: 4:21:32, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8644, top5_acc: 0.9706, loss_cls: 4.2801, loss: 4.2801 |
| 2025-06-02 04:56:33,371 - pyskl - INFO - Epoch [112][600/1027] lr: 3.832e-03, eta: 4:20:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8819, top5_acc: 0.9788, loss_cls: 4.2697, loss: 4.2697 |
| 2025-06-02 04:57:11,462 - pyskl - INFO - Epoch [112][700/1027] lr: 3.814e-03, eta: 4:20:12, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8781, top5_acc: 0.9769, loss_cls: 4.2795, loss: 4.2795 |
| 2025-06-02 04:57:49,523 - pyskl - INFO - Epoch [112][800/1027] lr: 3.796e-03, eta: 4:19:32, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8694, top5_acc: 0.9712, loss_cls: 4.2622, loss: 4.2622 |
| 2025-06-02 04:58:27,489 - pyskl - INFO - Epoch [112][900/1027] lr: 3.778e-03, eta: 4:18:51, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8656, top5_acc: 0.9669, loss_cls: 4.2704, loss: 4.2704 |
| 2025-06-02 04:59:05,427 - pyskl - INFO - Epoch [112][1000/1027] lr: 3.759e-03, eta: 4:18:11, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8700, top5_acc: 0.9769, loss_cls: 4.1722, loss: 4.1722 |
| 2025-06-02 04:59:16,465 - pyskl - INFO - Saving checkpoint at 112 epochs |
| 2025-06-02 04:59:53,554 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 04:59:53,626 - pyskl - INFO - |
| top1_acc 0.6254 |
| top5_acc 0.8694 |
| 2025-06-02 04:59:53,626 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 04:59:53,636 - pyskl - INFO - |
| mean_acc 0.6255 |
| 2025-06-02 04:59:53,696 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_110.pth was removed |
| 2025-06-02 04:59:55,298 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. |
| 2025-06-02 04:59:55,299 - pyskl - INFO - Best top1_acc is 0.6254 at 112 epoch. |
| 2025-06-02 04:59:55,302 - pyskl - INFO - Epoch(val) [112][413] top1_acc: 0.6254, top5_acc: 0.8694, mean_class_accuracy: 0.6255 |
| 2025-06-02 05:00:59,207 - pyskl - INFO - Epoch [113][100/1027] lr: 3.736e-03, eta: 4:17:25, time: 0.639, data_time: 0.255, memory: 7959, top1_acc: 0.9087, top5_acc: 0.9794, loss_cls: 3.9843, loss: 3.9843 |
| 2025-06-02 05:01:37,414 - pyskl - INFO - Epoch [113][200/1027] lr: 3.718e-03, eta: 4:16:45, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8975, top5_acc: 0.9769, loss_cls: 4.0333, loss: 4.0333 |
| 2025-06-02 05:02:15,401 - pyskl - INFO - Epoch [113][300/1027] lr: 3.700e-03, eta: 4:16:05, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8944, top5_acc: 0.9819, loss_cls: 4.0824, loss: 4.0824 |
| 2025-06-02 05:02:54,019 - pyskl - INFO - Epoch [113][400/1027] lr: 3.682e-03, eta: 4:15:25, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.8900, top5_acc: 0.9750, loss_cls: 4.0178, loss: 4.0178 |
| 2025-06-02 05:03:31,991 - pyskl - INFO - Epoch [113][500/1027] lr: 3.664e-03, eta: 4:14:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8856, top5_acc: 0.9738, loss_cls: 4.2064, loss: 4.2064 |
| 2025-06-02 05:04:09,468 - pyskl - INFO - Epoch [113][600/1027] lr: 3.646e-03, eta: 4:14:04, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8894, top5_acc: 0.9762, loss_cls: 4.1462, loss: 4.1462 |
| 2025-06-02 05:04:46,924 - pyskl - INFO - Epoch [113][700/1027] lr: 3.628e-03, eta: 4:13:24, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8750, top5_acc: 0.9781, loss_cls: 4.2544, loss: 4.2544 |
| 2025-06-02 05:05:24,388 - pyskl - INFO - Epoch [113][800/1027] lr: 3.610e-03, eta: 4:12:43, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8731, top5_acc: 0.9712, loss_cls: 4.2117, loss: 4.2117 |
| 2025-06-02 05:06:01,848 - pyskl - INFO - Epoch [113][900/1027] lr: 3.592e-03, eta: 4:12:03, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8625, top5_acc: 0.9706, loss_cls: 4.2528, loss: 4.2528 |
| 2025-06-02 05:06:39,317 - pyskl - INFO - Epoch [113][1000/1027] lr: 3.574e-03, eta: 4:11:23, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8756, top5_acc: 0.9781, loss_cls: 4.1280, loss: 4.1280 |
| 2025-06-02 05:06:50,230 - pyskl - INFO - Saving checkpoint at 113 epochs |
| 2025-06-02 05:07:27,096 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 05:07:27,168 - pyskl - INFO - |
| top1_acc 0.6178 |
| top5_acc 0.8585 |
| 2025-06-02 05:07:27,168 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 05:07:27,177 - pyskl - INFO - |
| mean_acc 0.6207 |
| 2025-06-02 05:07:27,179 - pyskl - INFO - Epoch(val) [113][413] top1_acc: 0.6178, top5_acc: 0.8585, mean_class_accuracy: 0.6207 |
| 2025-06-02 05:08:31,314 - pyskl - INFO - Epoch [114][100/1027] lr: 3.551e-03, eta: 4:10:37, time: 0.641, data_time: 0.260, memory: 7959, top1_acc: 0.9100, top5_acc: 0.9844, loss_cls: 4.0154, loss: 4.0154 |
| 2025-06-02 05:09:09,674 - pyskl - INFO - Epoch [114][200/1027] lr: 3.534e-03, eta: 4:09:57, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9006, top5_acc: 0.9775, loss_cls: 4.0947, loss: 4.0947 |
| 2025-06-02 05:09:47,774 - pyskl - INFO - Epoch [114][300/1027] lr: 3.516e-03, eta: 4:09:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8912, top5_acc: 0.9794, loss_cls: 4.0834, loss: 4.0834 |
| 2025-06-02 05:10:26,207 - pyskl - INFO - Epoch [114][400/1027] lr: 3.498e-03, eta: 4:08:36, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9075, top5_acc: 0.9800, loss_cls: 4.1774, loss: 4.1774 |
| 2025-06-02 05:11:04,419 - pyskl - INFO - Epoch [114][500/1027] lr: 3.481e-03, eta: 4:07:56, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.8956, top5_acc: 0.9738, loss_cls: 4.1320, loss: 4.1320 |
| 2025-06-02 05:11:42,493 - pyskl - INFO - Epoch [114][600/1027] lr: 3.463e-03, eta: 4:07:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8981, top5_acc: 0.9831, loss_cls: 4.0992, loss: 4.0992 |
| 2025-06-02 05:12:20,418 - pyskl - INFO - Epoch [114][700/1027] lr: 3.445e-03, eta: 4:06:36, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8906, top5_acc: 0.9794, loss_cls: 4.0286, loss: 4.0286 |
| 2025-06-02 05:12:58,383 - pyskl - INFO - Epoch [114][800/1027] lr: 3.428e-03, eta: 4:05:55, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8938, top5_acc: 0.9850, loss_cls: 4.0731, loss: 4.0731 |
| 2025-06-02 05:13:36,295 - pyskl - INFO - Epoch [114][900/1027] lr: 3.410e-03, eta: 4:05:15, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8712, top5_acc: 0.9806, loss_cls: 4.1163, loss: 4.1163 |
| 2025-06-02 05:14:14,174 - pyskl - INFO - Epoch [114][1000/1027] lr: 3.393e-03, eta: 4:04:35, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8875, top5_acc: 0.9738, loss_cls: 4.0579, loss: 4.0579 |
| 2025-06-02 05:14:25,223 - pyskl - INFO - Saving checkpoint at 114 epochs |
| 2025-06-02 05:15:02,209 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 05:15:02,278 - pyskl - INFO - |
| top1_acc 0.6231 |
| top5_acc 0.8682 |
| 2025-06-02 05:15:02,279 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 05:15:02,286 - pyskl - INFO - |
| mean_acc 0.6247 |
| 2025-06-02 05:15:02,287 - pyskl - INFO - Epoch(val) [114][413] top1_acc: 0.6231, top5_acc: 0.8682, mean_class_accuracy: 0.6247 |
| 2025-06-02 05:16:07,145 - pyskl - INFO - Epoch [115][100/1027] lr: 3.371e-03, eta: 4:03:49, time: 0.649, data_time: 0.262, memory: 7959, top1_acc: 0.9187, top5_acc: 0.9875, loss_cls: 3.9659, loss: 3.9659 |
| 2025-06-02 05:16:45,485 - pyskl - INFO - Epoch [115][200/1027] lr: 3.353e-03, eta: 4:03:09, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9225, top5_acc: 0.9881, loss_cls: 3.9325, loss: 3.9325 |
| 2025-06-02 05:17:23,609 - pyskl - INFO - Epoch [115][300/1027] lr: 3.336e-03, eta: 4:02:29, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9012, top5_acc: 0.9800, loss_cls: 4.0353, loss: 4.0353 |
| 2025-06-02 05:18:02,009 - pyskl - INFO - Epoch [115][400/1027] lr: 3.319e-03, eta: 4:01:49, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9062, top5_acc: 0.9825, loss_cls: 4.0270, loss: 4.0270 |
| 2025-06-02 05:18:40,203 - pyskl - INFO - Epoch [115][500/1027] lr: 3.301e-03, eta: 4:01:09, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9019, top5_acc: 0.9819, loss_cls: 3.9191, loss: 3.9191 |
| 2025-06-02 05:19:18,166 - pyskl - INFO - Epoch [115][600/1027] lr: 3.284e-03, eta: 4:00:29, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8906, top5_acc: 0.9769, loss_cls: 4.1072, loss: 4.1072 |
| 2025-06-02 05:19:56,036 - pyskl - INFO - Epoch [115][700/1027] lr: 3.267e-03, eta: 3:59:48, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9038, top5_acc: 0.9750, loss_cls: 4.0821, loss: 4.0821 |
| 2025-06-02 05:20:33,940 - pyskl - INFO - Epoch [115][800/1027] lr: 3.250e-03, eta: 3:59:08, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8862, top5_acc: 0.9781, loss_cls: 4.1438, loss: 4.1438 |
| 2025-06-02 05:21:11,836 - pyskl - INFO - Epoch [115][900/1027] lr: 3.233e-03, eta: 3:58:28, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9006, top5_acc: 0.9806, loss_cls: 4.1530, loss: 4.1530 |
| 2025-06-02 05:21:49,794 - pyskl - INFO - Epoch [115][1000/1027] lr: 3.215e-03, eta: 3:57:48, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8800, top5_acc: 0.9800, loss_cls: 4.1208, loss: 4.1208 |
| 2025-06-02 05:22:00,830 - pyskl - INFO - Saving checkpoint at 115 epochs |
| 2025-06-02 05:42:58,094 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 05:42:58,163 - pyskl - INFO - |
| top1_acc 0.6271 |
| top5_acc 0.8616 |
| 2025-06-02 05:42:58,163 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 05:42:58,171 - pyskl - INFO - |
| mean_acc 0.6271 |
| 2025-06-02 05:42:58,229 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_112.pth was removed |
| 2025-06-02 05:42:59,761 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. |
| 2025-06-02 05:42:59,763 - pyskl - INFO - Best top1_acc is 0.6271 at 115 epoch. |
| 2025-06-02 05:42:59,766 - pyskl - INFO - Epoch(val) [115][413] top1_acc: 0.6271, top5_acc: 0.8616, mean_class_accuracy: 0.6271 |
| 2025-06-02 05:44:02,658 - pyskl - INFO - Epoch [116][100/1027] lr: 3.194e-03, eta: 3:57:01, time: 0.629, data_time: 0.248, memory: 7959, top1_acc: 0.9344, top5_acc: 0.9906, loss_cls: 3.8814, loss: 3.8814 |
| 2025-06-02 05:44:40,483 - pyskl - INFO - Epoch [116][200/1027] lr: 3.177e-03, eta: 3:56:21, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9331, top5_acc: 0.9875, loss_cls: 3.9297, loss: 3.9297 |
| 2025-06-02 05:45:18,567 - pyskl - INFO - Epoch [116][300/1027] lr: 3.160e-03, eta: 3:55:41, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9175, top5_acc: 0.9869, loss_cls: 3.9362, loss: 3.9362 |
| 2025-06-02 05:45:56,335 - pyskl - INFO - Epoch [116][400/1027] lr: 3.143e-03, eta: 3:55:01, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9287, top5_acc: 0.9894, loss_cls: 3.8281, loss: 3.8281 |
| 2025-06-02 05:46:34,211 - pyskl - INFO - Epoch [116][500/1027] lr: 3.126e-03, eta: 3:54:20, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9075, top5_acc: 0.9862, loss_cls: 3.9133, loss: 3.9133 |
| 2025-06-02 05:47:12,126 - pyskl - INFO - Epoch [116][600/1027] lr: 3.109e-03, eta: 3:53:40, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9206, top5_acc: 0.9869, loss_cls: 3.8289, loss: 3.8289 |
| 2025-06-02 05:47:50,035 - pyskl - INFO - Epoch [116][700/1027] lr: 3.092e-03, eta: 3:53:00, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9081, top5_acc: 0.9869, loss_cls: 4.0932, loss: 4.0932 |
| 2025-06-02 05:48:27,978 - pyskl - INFO - Epoch [116][800/1027] lr: 3.076e-03, eta: 3:52:20, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9056, top5_acc: 0.9812, loss_cls: 3.9899, loss: 3.9899 |
| 2025-06-02 05:49:06,186 - pyskl - INFO - Epoch [116][900/1027] lr: 3.059e-03, eta: 3:51:40, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9000, top5_acc: 0.9812, loss_cls: 4.0253, loss: 4.0253 |
| 2025-06-02 05:49:44,766 - pyskl - INFO - Epoch [116][1000/1027] lr: 3.042e-03, eta: 3:51:00, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9081, top5_acc: 0.9819, loss_cls: 4.0590, loss: 4.0590 |
| 2025-06-02 05:49:55,840 - pyskl - INFO - Saving checkpoint at 116 epochs |
| 2025-06-02 05:50:33,089 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 05:50:33,159 - pyskl - INFO - |
| top1_acc 0.6216 |
| top5_acc 0.8663 |
| 2025-06-02 05:50:33,159 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 05:50:33,167 - pyskl - INFO - |
| mean_acc 0.6239 |
| 2025-06-02 05:50:33,168 - pyskl - INFO - Epoch(val) [116][413] top1_acc: 0.6216, top5_acc: 0.8663, mean_class_accuracy: 0.6239 |
| 2025-06-02 05:51:36,538 - pyskl - INFO - Epoch [117][100/1027] lr: 3.021e-03, eta: 3:50:13, time: 0.634, data_time: 0.252, memory: 7959, top1_acc: 0.9325, top5_acc: 0.9881, loss_cls: 3.7947, loss: 3.7947 |
| 2025-06-02 05:52:14,715 - pyskl - INFO - Epoch [117][200/1027] lr: 3.004e-03, eta: 3:49:33, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9431, top5_acc: 0.9912, loss_cls: 3.8414, loss: 3.8414 |
| 2025-06-02 05:52:52,656 - pyskl - INFO - Epoch [117][300/1027] lr: 2.988e-03, eta: 3:48:53, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9337, top5_acc: 0.9869, loss_cls: 3.7309, loss: 3.7309 |
| 2025-06-02 05:53:30,855 - pyskl - INFO - Epoch [117][400/1027] lr: 2.971e-03, eta: 3:48:13, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9144, top5_acc: 0.9862, loss_cls: 3.8961, loss: 3.8961 |
| 2025-06-02 05:54:08,877 - pyskl - INFO - Epoch [117][500/1027] lr: 2.955e-03, eta: 3:47:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9250, top5_acc: 0.9838, loss_cls: 3.9201, loss: 3.9201 |
| 2025-06-02 05:54:46,921 - pyskl - INFO - Epoch [117][600/1027] lr: 2.938e-03, eta: 3:46:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9250, top5_acc: 0.9881, loss_cls: 3.9345, loss: 3.9345 |
| 2025-06-02 05:55:24,863 - pyskl - INFO - Epoch [117][700/1027] lr: 2.922e-03, eta: 3:46:12, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 4.0604, loss: 4.0604 |
| 2025-06-02 05:56:02,826 - pyskl - INFO - Epoch [117][800/1027] lr: 2.906e-03, eta: 3:45:32, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 3.8816, loss: 3.8816 |
| 2025-06-02 05:56:41,005 - pyskl - INFO - Epoch [117][900/1027] lr: 2.889e-03, eta: 3:44:52, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9125, top5_acc: 0.9788, loss_cls: 4.0691, loss: 4.0691 |
| 2025-06-02 05:57:19,707 - pyskl - INFO - Epoch [117][1000/1027] lr: 2.873e-03, eta: 3:44:12, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.9175, top5_acc: 0.9875, loss_cls: 3.9878, loss: 3.9878 |
| 2025-06-02 05:57:30,875 - pyskl - INFO - Saving checkpoint at 117 epochs |
| 2025-06-02 05:58:08,553 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 05:58:08,625 - pyskl - INFO - |
| top1_acc 0.6246 |
| top5_acc 0.8618 |
| 2025-06-02 05:58:08,626 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 05:58:08,635 - pyskl - INFO - |
| mean_acc 0.6301 |
| 2025-06-02 05:58:08,637 - pyskl - INFO - Epoch(val) [117][413] top1_acc: 0.6246, top5_acc: 0.8618, mean_class_accuracy: 0.6301 |
| 2025-06-02 05:59:13,256 - pyskl - INFO - Epoch [118][100/1027] lr: 2.853e-03, eta: 3:43:26, time: 0.646, data_time: 0.263, memory: 7959, top1_acc: 0.9513, top5_acc: 0.9938, loss_cls: 3.7329, loss: 3.7329 |
| 2025-06-02 05:59:51,416 - pyskl - INFO - Epoch [118][200/1027] lr: 2.836e-03, eta: 3:42:46, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9444, top5_acc: 0.9881, loss_cls: 3.6675, loss: 3.6675 |
| 2025-06-02 06:00:29,688 - pyskl - INFO - Epoch [118][300/1027] lr: 2.820e-03, eta: 3:42:06, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9313, top5_acc: 0.9906, loss_cls: 3.7116, loss: 3.7116 |
| 2025-06-02 06:01:07,851 - pyskl - INFO - Epoch [118][400/1027] lr: 2.804e-03, eta: 3:41:25, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 3.8465, loss: 3.8465 |
| 2025-06-02 06:01:45,820 - pyskl - INFO - Epoch [118][500/1027] lr: 2.788e-03, eta: 3:40:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9400, top5_acc: 0.9919, loss_cls: 3.7665, loss: 3.7665 |
| 2025-06-02 06:02:23,733 - pyskl - INFO - Epoch [118][600/1027] lr: 2.772e-03, eta: 3:40:05, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9313, top5_acc: 0.9912, loss_cls: 3.8096, loss: 3.8096 |
| 2025-06-02 06:03:01,685 - pyskl - INFO - Epoch [118][700/1027] lr: 2.756e-03, eta: 3:39:25, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9375, top5_acc: 0.9925, loss_cls: 3.8660, loss: 3.8660 |
| 2025-06-02 06:03:39,746 - pyskl - INFO - Epoch [118][800/1027] lr: 2.740e-03, eta: 3:38:45, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9219, top5_acc: 0.9900, loss_cls: 3.9138, loss: 3.9138 |
| 2025-06-02 06:04:18,184 - pyskl - INFO - Epoch [118][900/1027] lr: 2.724e-03, eta: 3:38:05, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9244, top5_acc: 0.9875, loss_cls: 3.8448, loss: 3.8448 |
| 2025-06-02 06:04:56,496 - pyskl - INFO - Epoch [118][1000/1027] lr: 2.708e-03, eta: 3:37:25, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 3.9262, loss: 3.9262 |
| 2025-06-02 06:05:07,642 - pyskl - INFO - Saving checkpoint at 118 epochs |
| 2025-06-02 06:05:44,795 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 06:05:44,865 - pyskl - INFO - |
| top1_acc 0.6234 |
| top5_acc 0.8654 |
| 2025-06-02 06:05:44,865 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 06:05:44,872 - pyskl - INFO - |
| mean_acc 0.6232 |
| 2025-06-02 06:05:44,873 - pyskl - INFO - Epoch(val) [118][413] top1_acc: 0.6234, top5_acc: 0.8654, mean_class_accuracy: 0.6232 |
| 2025-06-02 06:06:48,361 - pyskl - INFO - Epoch [119][100/1027] lr: 2.688e-03, eta: 3:36:38, time: 0.635, data_time: 0.254, memory: 7959, top1_acc: 0.9563, top5_acc: 0.9938, loss_cls: 3.7774, loss: 3.7774 |
| 2025-06-02 06:07:26,395 - pyskl - INFO - Epoch [119][200/1027] lr: 2.672e-03, eta: 3:35:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9450, top5_acc: 0.9919, loss_cls: 3.6216, loss: 3.6216 |
| 2025-06-02 06:08:04,540 - pyskl - INFO - Epoch [119][300/1027] lr: 2.657e-03, eta: 3:35:18, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9475, top5_acc: 0.9931, loss_cls: 3.7030, loss: 3.7030 |
| 2025-06-02 06:08:42,651 - pyskl - INFO - Epoch [119][400/1027] lr: 2.641e-03, eta: 3:34:38, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9394, top5_acc: 0.9894, loss_cls: 3.7008, loss: 3.7008 |
| 2025-06-02 06:09:20,568 - pyskl - INFO - Epoch [119][500/1027] lr: 2.625e-03, eta: 3:33:58, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9419, top5_acc: 0.9912, loss_cls: 3.7378, loss: 3.7378 |
| 2025-06-02 06:09:58,479 - pyskl - INFO - Epoch [119][600/1027] lr: 2.610e-03, eta: 3:33:18, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 3.8099, loss: 3.8099 |
| 2025-06-02 06:10:36,375 - pyskl - INFO - Epoch [119][700/1027] lr: 2.594e-03, eta: 3:32:37, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9413, top5_acc: 0.9925, loss_cls: 3.8459, loss: 3.8459 |
| 2025-06-02 06:11:14,384 - pyskl - INFO - Epoch [119][800/1027] lr: 2.579e-03, eta: 3:31:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 3.6808, loss: 3.6808 |
| 2025-06-02 06:11:52,681 - pyskl - INFO - Epoch [119][900/1027] lr: 2.563e-03, eta: 3:31:17, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9369, top5_acc: 0.9906, loss_cls: 3.8385, loss: 3.8385 |
| 2025-06-02 06:12:30,956 - pyskl - INFO - Epoch [119][1000/1027] lr: 2.548e-03, eta: 3:30:37, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9406, top5_acc: 0.9912, loss_cls: 3.8187, loss: 3.8187 |
| 2025-06-02 06:12:42,097 - pyskl - INFO - Saving checkpoint at 119 epochs |
| 2025-06-02 06:13:19,535 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 06:13:19,614 - pyskl - INFO - |
| top1_acc 0.6283 |
| top5_acc 0.8647 |
| 2025-06-02 06:13:19,614 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 06:13:19,622 - pyskl - INFO - |
| mean_acc 0.6282 |
| 2025-06-02 06:13:19,682 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_115.pth was removed |
| 2025-06-02 06:13:21,264 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. |
| 2025-06-02 06:13:21,266 - pyskl - INFO - Best top1_acc is 0.6283 at 119 epoch. |
| 2025-06-02 06:13:21,269 - pyskl - INFO - Epoch(val) [119][413] top1_acc: 0.6283, top5_acc: 0.8647, mean_class_accuracy: 0.6282 |
| 2025-06-02 06:14:25,596 - pyskl - INFO - Epoch [120][100/1027] lr: 2.528e-03, eta: 3:29:50, time: 0.643, data_time: 0.260, memory: 7959, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 3.6800, loss: 3.6800 |
| 2025-06-02 06:15:04,029 - pyskl - INFO - Epoch [120][200/1027] lr: 2.513e-03, eta: 3:29:11, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 3.5726, loss: 3.5726 |
| 2025-06-02 06:15:41,745 - pyskl - INFO - Epoch [120][300/1027] lr: 2.497e-03, eta: 3:28:30, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9506, top5_acc: 0.9919, loss_cls: 3.7795, loss: 3.7795 |
| 2025-06-02 06:16:19,821 - pyskl - INFO - Epoch [120][400/1027] lr: 2.482e-03, eta: 3:27:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9563, top5_acc: 0.9912, loss_cls: 3.7646, loss: 3.7646 |
| 2025-06-02 06:16:57,774 - pyskl - INFO - Epoch [120][500/1027] lr: 2.467e-03, eta: 3:27:10, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 3.6990, loss: 3.6990 |
| 2025-06-02 06:17:35,734 - pyskl - INFO - Epoch [120][600/1027] lr: 2.452e-03, eta: 3:26:30, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9556, top5_acc: 0.9938, loss_cls: 3.7216, loss: 3.7216 |
| 2025-06-02 06:18:13,722 - pyskl - INFO - Epoch [120][700/1027] lr: 2.437e-03, eta: 3:25:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 3.8250, loss: 3.8250 |
| 2025-06-02 06:18:51,836 - pyskl - INFO - Epoch [120][800/1027] lr: 2.422e-03, eta: 3:25:10, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 3.7461, loss: 3.7461 |
| 2025-06-02 06:19:29,923 - pyskl - INFO - Epoch [120][900/1027] lr: 2.407e-03, eta: 3:24:30, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9387, top5_acc: 0.9912, loss_cls: 3.7697, loss: 3.7697 |
| 2025-06-02 06:20:07,989 - pyskl - INFO - Epoch [120][1000/1027] lr: 2.391e-03, eta: 3:23:50, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 3.6453, loss: 3.6453 |
| 2025-06-02 06:20:19,043 - pyskl - INFO - Saving checkpoint at 120 epochs |
| 2025-06-02 06:40:39,316 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 06:40:39,401 - pyskl - INFO - |
| top1_acc 0.6198 |
| top5_acc 0.8603 |
| 2025-06-02 06:40:39,401 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 06:40:39,411 - pyskl - INFO - |
| mean_acc 0.6223 |
| 2025-06-02 06:40:39,414 - pyskl - INFO - Epoch(val) [120][413] top1_acc: 0.6198, top5_acc: 0.8603, mean_class_accuracy: 0.6223 |
| 2025-06-02 06:41:45,361 - pyskl - INFO - Epoch [121][100/1027] lr: 2.372e-03, eta: 3:23:03, time: 0.659, data_time: 0.276, memory: 7959, top1_acc: 0.9600, top5_acc: 0.9938, loss_cls: 3.4152, loss: 3.4152 |
| 2025-06-02 06:42:23,448 - pyskl - INFO - Epoch [121][200/1027] lr: 2.358e-03, eta: 3:22:23, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 3.7043, loss: 3.7043 |
| 2025-06-02 06:43:01,494 - pyskl - INFO - Epoch [121][300/1027] lr: 2.343e-03, eta: 3:21:43, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9600, top5_acc: 0.9938, loss_cls: 3.5216, loss: 3.5216 |
| 2025-06-02 06:43:39,517 - pyskl - INFO - Epoch [121][400/1027] lr: 2.328e-03, eta: 3:21:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 3.6861, loss: 3.6861 |
| 2025-06-02 06:44:17,552 - pyskl - INFO - Epoch [121][500/1027] lr: 2.313e-03, eta: 3:20:23, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 3.6604, loss: 3.6604 |
| 2025-06-02 06:44:55,554 - pyskl - INFO - Epoch [121][600/1027] lr: 2.298e-03, eta: 3:19:43, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 3.6756, loss: 3.6756 |
| 2025-06-02 06:45:33,651 - pyskl - INFO - Epoch [121][700/1027] lr: 2.284e-03, eta: 3:19:03, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9544, top5_acc: 0.9931, loss_cls: 3.7835, loss: 3.7835 |
| 2025-06-02 06:46:11,690 - pyskl - INFO - Epoch [121][800/1027] lr: 2.269e-03, eta: 3:18:23, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 3.5462, loss: 3.5462 |
| 2025-06-02 06:46:50,113 - pyskl - INFO - Epoch [121][900/1027] lr: 2.254e-03, eta: 3:17:43, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9575, top5_acc: 0.9938, loss_cls: 3.5337, loss: 3.5337 |
| 2025-06-02 06:47:28,406 - pyskl - INFO - Epoch [121][1000/1027] lr: 2.240e-03, eta: 3:17:03, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 3.7041, loss: 3.7041 |
| 2025-06-02 06:47:39,818 - pyskl - INFO - Saving checkpoint at 121 epochs |
| 2025-06-02 06:48:17,845 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 06:48:17,920 - pyskl - INFO - |
| top1_acc 0.6301 |
| top5_acc 0.8639 |
| 2025-06-02 06:48:17,920 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 06:48:17,930 - pyskl - INFO - |
| mean_acc 0.6288 |
| 2025-06-02 06:48:17,994 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_119.pth was removed |
| 2025-06-02 06:48:19,573 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. |
| 2025-06-02 06:48:19,575 - pyskl - INFO - Best top1_acc is 0.6301 at 121 epoch. |
| 2025-06-02 06:48:19,577 - pyskl - INFO - Epoch(val) [121][413] top1_acc: 0.6301, top5_acc: 0.8639, mean_class_accuracy: 0.6288 |
| 2025-06-02 06:49:24,184 - pyskl - INFO - Epoch [122][100/1027] lr: 2.221e-03, eta: 3:16:16, time: 0.646, data_time: 0.263, memory: 7959, top1_acc: 0.9725, top5_acc: 0.9956, loss_cls: 3.6256, loss: 3.6256 |
| 2025-06-02 06:50:02,311 - pyskl - INFO - Epoch [122][200/1027] lr: 2.207e-03, eta: 3:15:36, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 3.6124, loss: 3.6124 |
| 2025-06-02 06:50:40,546 - pyskl - INFO - Epoch [122][300/1027] lr: 2.192e-03, eta: 3:14:56, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 3.7390, loss: 3.7390 |
| 2025-06-02 06:51:18,583 - pyskl - INFO - Epoch [122][400/1027] lr: 2.178e-03, eta: 3:14:16, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 3.6231, loss: 3.6231 |
| 2025-06-02 06:51:56,572 - pyskl - INFO - Epoch [122][500/1027] lr: 2.164e-03, eta: 3:13:36, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 3.6011, loss: 3.6011 |
| 2025-06-02 06:52:34,589 - pyskl - INFO - Epoch [122][600/1027] lr: 2.149e-03, eta: 3:12:56, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 3.5356, loss: 3.5356 |
| 2025-06-02 06:53:12,661 - pyskl - INFO - Epoch [122][700/1027] lr: 2.135e-03, eta: 3:12:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 3.5982, loss: 3.5982 |
| 2025-06-02 06:53:50,693 - pyskl - INFO - Epoch [122][800/1027] lr: 2.121e-03, eta: 3:11:36, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 3.6457, loss: 3.6457 |
| 2025-06-02 06:54:28,963 - pyskl - INFO - Epoch [122][900/1027] lr: 2.107e-03, eta: 3:10:56, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 3.7500, loss: 3.7500 |
| 2025-06-02 06:55:07,219 - pyskl - INFO - Epoch [122][1000/1027] lr: 2.092e-03, eta: 3:10:16, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9537, top5_acc: 0.9925, loss_cls: 3.6223, loss: 3.6223 |
| 2025-06-02 06:55:18,422 - pyskl - INFO - Saving checkpoint at 122 epochs |
| 2025-06-02 06:55:56,107 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 06:55:56,182 - pyskl - INFO - |
| top1_acc 0.6337 |
| top5_acc 0.8665 |
| 2025-06-02 06:55:56,182 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 06:55:56,190 - pyskl - INFO - |
| mean_acc 0.6340 |
| 2025-06-02 06:55:56,253 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_121.pth was removed |
| 2025-06-02 06:55:57,901 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. |
| 2025-06-02 06:55:57,902 - pyskl - INFO - Best top1_acc is 0.6337 at 122 epoch. |
| 2025-06-02 06:55:57,907 - pyskl - INFO - Epoch(val) [122][413] top1_acc: 0.6337, top5_acc: 0.8665, mean_class_accuracy: 0.6340 |
| 2025-06-02 06:57:02,726 - pyskl - INFO - Epoch [123][100/1027] lr: 2.075e-03, eta: 3:09:29, time: 0.648, data_time: 0.265, memory: 7959, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 3.5782, loss: 3.5782 |
| 2025-06-02 06:57:40,771 - pyskl - INFO - Epoch [123][200/1027] lr: 2.060e-03, eta: 3:08:48, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 3.6462, loss: 3.6462 |
| 2025-06-02 06:58:18,763 - pyskl - INFO - Epoch [123][300/1027] lr: 2.046e-03, eta: 3:08:08, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 3.4986, loss: 3.4986 |
| 2025-06-02 06:58:56,750 - pyskl - INFO - Epoch [123][400/1027] lr: 2.033e-03, eta: 3:07:28, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9688, top5_acc: 0.9956, loss_cls: 3.4799, loss: 3.4799 |
| 2025-06-02 06:59:34,739 - pyskl - INFO - Epoch [123][500/1027] lr: 2.019e-03, eta: 3:06:48, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9656, top5_acc: 0.9956, loss_cls: 3.4951, loss: 3.4951 |
| 2025-06-02 07:00:12,713 - pyskl - INFO - Epoch [123][600/1027] lr: 2.005e-03, eta: 3:06:08, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 3.5500, loss: 3.5500 |
| 2025-06-02 07:00:50,630 - pyskl - INFO - Epoch [123][700/1027] lr: 1.991e-03, eta: 3:05:28, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 3.6327, loss: 3.6327 |
| 2025-06-02 07:01:28,613 - pyskl - INFO - Epoch [123][800/1027] lr: 1.977e-03, eta: 3:04:48, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 3.5794, loss: 3.5794 |
| 2025-06-02 07:02:06,840 - pyskl - INFO - Epoch [123][900/1027] lr: 1.963e-03, eta: 3:04:08, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9719, top5_acc: 0.9950, loss_cls: 3.6107, loss: 3.6107 |
| 2025-06-02 07:02:45,134 - pyskl - INFO - Epoch [123][1000/1027] lr: 1.950e-03, eta: 3:03:28, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 3.5497, loss: 3.5497 |
| 2025-06-02 07:02:56,233 - pyskl - INFO - Saving checkpoint at 123 epochs |
| 2025-06-02 07:03:34,622 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 07:03:34,701 - pyskl - INFO - |
| top1_acc 0.6342 |
| top5_acc 0.8665 |
| 2025-06-02 07:03:34,701 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 07:03:34,711 - pyskl - INFO - |
| mean_acc 0.6358 |
| 2025-06-02 07:03:34,773 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_122.pth was removed |
| 2025-06-02 07:03:36,543 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. |
| 2025-06-02 07:03:36,545 - pyskl - INFO - Best top1_acc is 0.6342 at 123 epoch. |
| 2025-06-02 07:03:36,549 - pyskl - INFO - Epoch(val) [123][413] top1_acc: 0.6342, top5_acc: 0.8665, mean_class_accuracy: 0.6358 |
| 2025-06-02 07:04:40,665 - pyskl - INFO - Epoch [124][100/1027] lr: 1.932e-03, eta: 3:02:41, time: 0.641, data_time: 0.260, memory: 7959, top1_acc: 0.9762, top5_acc: 0.9969, loss_cls: 3.4248, loss: 3.4248 |
| 2025-06-02 07:05:19,025 - pyskl - INFO - Epoch [124][200/1027] lr: 1.919e-03, eta: 3:02:01, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 3.5485, loss: 3.5485 |
| 2025-06-02 07:05:57,054 - pyskl - INFO - Epoch [124][300/1027] lr: 1.905e-03, eta: 3:01:21, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 3.4575, loss: 3.4575 |
| 2025-06-02 07:06:35,163 - pyskl - INFO - Epoch [124][400/1027] lr: 1.892e-03, eta: 3:00:41, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 3.6025, loss: 3.6025 |
| 2025-06-02 07:07:13,184 - pyskl - INFO - Epoch [124][500/1027] lr: 1.878e-03, eta: 3:00:01, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 3.5392, loss: 3.5392 |
| 2025-06-02 07:07:51,113 - pyskl - INFO - Epoch [124][600/1027] lr: 1.865e-03, eta: 2:59:21, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 3.5421, loss: 3.5421 |
| 2025-06-02 07:08:29,165 - pyskl - INFO - Epoch [124][700/1027] lr: 1.851e-03, eta: 2:58:41, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 3.4979, loss: 3.4979 |
| 2025-06-02 07:09:07,252 - pyskl - INFO - Epoch [124][800/1027] lr: 1.838e-03, eta: 2:58:01, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 3.6033, loss: 3.6033 |
| 2025-06-02 07:09:45,400 - pyskl - INFO - Epoch [124][900/1027] lr: 1.825e-03, eta: 2:57:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9681, top5_acc: 0.9962, loss_cls: 3.5560, loss: 3.5560 |
| 2025-06-02 07:10:23,711 - pyskl - INFO - Epoch [124][1000/1027] lr: 1.812e-03, eta: 2:56:41, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 3.4779, loss: 3.4779 |
| 2025-06-02 07:10:34,915 - pyskl - INFO - Saving checkpoint at 124 epochs |
| 2025-06-02 07:11:12,990 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 07:11:13,061 - pyskl - INFO - |
| top1_acc 0.6368 |
| top5_acc 0.8701 |
| 2025-06-02 07:11:13,061 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 07:11:13,069 - pyskl - INFO - |
| mean_acc 0.6384 |
| 2025-06-02 07:11:13,128 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_123.pth was removed |
| 2025-06-02 07:11:14,713 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. |
| 2025-06-02 07:11:14,714 - pyskl - INFO - Best top1_acc is 0.6368 at 124 epoch. |
| 2025-06-02 07:11:14,717 - pyskl - INFO - Epoch(val) [124][413] top1_acc: 0.6368, top5_acc: 0.8701, mean_class_accuracy: 0.6384 |
| 2025-06-02 07:12:18,758 - pyskl - INFO - Epoch [125][100/1027] lr: 1.795e-03, eta: 2:55:53, time: 0.640, data_time: 0.259, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 3.5766, loss: 3.5766 |
| 2025-06-02 07:12:56,810 - pyskl - INFO - Epoch [125][200/1027] lr: 1.782e-03, eta: 2:55:13, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 3.3572, loss: 3.3572 |
| 2025-06-02 07:13:34,736 - pyskl - INFO - Epoch [125][300/1027] lr: 1.769e-03, eta: 2:54:33, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 3.4698, loss: 3.4698 |
| 2025-06-02 07:14:12,689 - pyskl - INFO - Epoch [125][400/1027] lr: 1.756e-03, eta: 2:53:53, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 3.5188, loss: 3.5188 |
| 2025-06-02 07:14:50,628 - pyskl - INFO - Epoch [125][500/1027] lr: 1.743e-03, eta: 2:53:13, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 3.4784, loss: 3.4784 |
| 2025-06-02 07:15:28,595 - pyskl - INFO - Epoch [125][600/1027] lr: 1.730e-03, eta: 2:52:33, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 3.4975, loss: 3.4975 |
| 2025-06-02 07:16:06,556 - pyskl - INFO - Epoch [125][700/1027] lr: 1.717e-03, eta: 2:51:53, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9762, top5_acc: 0.9962, loss_cls: 3.4211, loss: 3.4211 |
| 2025-06-02 07:16:44,589 - pyskl - INFO - Epoch [125][800/1027] lr: 1.704e-03, eta: 2:51:13, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 3.5572, loss: 3.5572 |
| 2025-06-02 07:17:22,674 - pyskl - INFO - Epoch [125][900/1027] lr: 1.691e-03, eta: 2:50:33, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 3.3751, loss: 3.3751 |
| 2025-06-02 07:18:00,563 - pyskl - INFO - Epoch [125][1000/1027] lr: 1.678e-03, eta: 2:49:53, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9712, top5_acc: 0.9956, loss_cls: 3.5470, loss: 3.5470 |
| 2025-06-02 07:18:11,759 - pyskl - INFO - Saving checkpoint at 125 epochs |
| 2025-06-02 07:38:40,883 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 07:38:40,965 - pyskl - INFO - |
| top1_acc 0.6334 |
| top5_acc 0.8691 |
| 2025-06-02 07:38:40,965 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 07:38:40,973 - pyskl - INFO - |
| mean_acc 0.6346 |
| 2025-06-02 07:38:40,975 - pyskl - INFO - Epoch(val) [125][413] top1_acc: 0.6334, top5_acc: 0.8691, mean_class_accuracy: 0.6346 |
| 2025-06-02 07:39:45,455 - pyskl - INFO - Epoch [126][100/1027] lr: 1.662e-03, eta: 2:49:06, time: 0.645, data_time: 0.263, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 3.3819, loss: 3.3819 |
| 2025-06-02 07:40:23,513 - pyskl - INFO - Epoch [126][200/1027] lr: 1.649e-03, eta: 2:48:26, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 3.3583, loss: 3.3583 |
| 2025-06-02 07:41:01,569 - pyskl - INFO - Epoch [126][300/1027] lr: 1.637e-03, eta: 2:47:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 3.4232, loss: 3.4232 |
| 2025-06-02 07:41:39,750 - pyskl - INFO - Epoch [126][400/1027] lr: 1.624e-03, eta: 2:47:06, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 3.2564, loss: 3.2564 |
| 2025-06-02 07:42:17,787 - pyskl - INFO - Epoch [126][500/1027] lr: 1.612e-03, eta: 2:46:26, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 3.3773, loss: 3.3773 |
| 2025-06-02 07:42:55,987 - pyskl - INFO - Epoch [126][600/1027] lr: 1.599e-03, eta: 2:45:46, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9969, loss_cls: 3.4344, loss: 3.4344 |
| 2025-06-02 07:43:34,044 - pyskl - INFO - Epoch [126][700/1027] lr: 1.587e-03, eta: 2:45:06, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 3.4509, loss: 3.4509 |
| 2025-06-02 07:44:12,259 - pyskl - INFO - Epoch [126][800/1027] lr: 1.574e-03, eta: 2:44:26, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 3.4682, loss: 3.4682 |
| 2025-06-02 07:44:50,616 - pyskl - INFO - Epoch [126][900/1027] lr: 1.562e-03, eta: 2:43:46, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 3.3242, loss: 3.3242 |
| 2025-06-02 07:45:28,943 - pyskl - INFO - Epoch [126][1000/1027] lr: 1.550e-03, eta: 2:43:06, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9956, loss_cls: 3.4261, loss: 3.4261 |
| 2025-06-02 07:45:40,260 - pyskl - INFO - Saving checkpoint at 126 epochs |
| 2025-06-02 07:46:18,331 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 07:46:18,403 - pyskl - INFO - |
| top1_acc 0.6374 |
| top5_acc 0.8697 |
| 2025-06-02 07:46:18,404 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 07:46:18,413 - pyskl - INFO - |
| mean_acc 0.6385 |
| 2025-06-02 07:46:18,479 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_124.pth was removed |
| 2025-06-02 07:46:20,068 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. |
| 2025-06-02 07:46:20,070 - pyskl - INFO - Best top1_acc is 0.6374 at 126 epoch. |
| 2025-06-02 07:46:20,073 - pyskl - INFO - Epoch(val) [126][413] top1_acc: 0.6374, top5_acc: 0.8697, mean_class_accuracy: 0.6385 |
| 2025-06-02 07:47:23,933 - pyskl - INFO - Epoch [127][100/1027] lr: 1.534e-03, eta: 2:42:18, time: 0.639, data_time: 0.258, memory: 7959, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 3.3842, loss: 3.3842 |
| 2025-06-02 07:48:01,905 - pyskl - INFO - Epoch [127][200/1027] lr: 1.522e-03, eta: 2:41:38, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 3.2470, loss: 3.2470 |
| 2025-06-02 07:48:40,018 - pyskl - INFO - Epoch [127][300/1027] lr: 1.510e-03, eta: 2:40:58, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 3.4027, loss: 3.4027 |
| 2025-06-02 07:49:17,996 - pyskl - INFO - Epoch [127][400/1027] lr: 1.498e-03, eta: 2:40:18, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 3.4705, loss: 3.4705 |
| 2025-06-02 07:49:55,963 - pyskl - INFO - Epoch [127][500/1027] lr: 1.485e-03, eta: 2:39:38, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 3.3088, loss: 3.3088 |
| 2025-06-02 07:50:33,918 - pyskl - INFO - Epoch [127][600/1027] lr: 1.473e-03, eta: 2:38:58, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 3.2669, loss: 3.2669 |
| 2025-06-02 07:51:11,876 - pyskl - INFO - Epoch [127][700/1027] lr: 1.461e-03, eta: 2:38:18, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 3.4896, loss: 3.4896 |
| 2025-06-02 07:51:50,120 - pyskl - INFO - Epoch [127][800/1027] lr: 1.450e-03, eta: 2:37:38, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 3.3935, loss: 3.3935 |
| 2025-06-02 07:52:28,532 - pyskl - INFO - Epoch [127][900/1027] lr: 1.438e-03, eta: 2:36:58, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 3.4970, loss: 3.4970 |
| 2025-06-02 07:53:06,840 - pyskl - INFO - Epoch [127][1000/1027] lr: 1.426e-03, eta: 2:36:19, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.3026, loss: 3.3026 |
| 2025-06-02 07:53:18,070 - pyskl - INFO - Saving checkpoint at 127 epochs |
| 2025-06-02 07:53:56,106 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 07:53:56,199 - pyskl - INFO - |
| top1_acc 0.6395 |
| top5_acc 0.8697 |
| 2025-06-02 07:53:56,199 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 07:53:56,209 - pyskl - INFO - |
| mean_acc 0.6388 |
| 2025-06-02 07:53:56,270 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_126.pth was removed |
| 2025-06-02 07:53:57,988 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. |
| 2025-06-02 07:53:57,989 - pyskl - INFO - Best top1_acc is 0.6395 at 127 epoch. |
| 2025-06-02 07:53:57,993 - pyskl - INFO - Epoch(val) [127][413] top1_acc: 0.6395, top5_acc: 0.8697, mean_class_accuracy: 0.6388 |
| 2025-06-02 07:55:02,234 - pyskl - INFO - Epoch [128][100/1027] lr: 1.411e-03, eta: 2:35:31, time: 0.642, data_time: 0.260, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.2327, loss: 3.2327 |
| 2025-06-02 07:55:40,226 - pyskl - INFO - Epoch [128][200/1027] lr: 1.399e-03, eta: 2:34:51, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 3.3640, loss: 3.3640 |
| 2025-06-02 07:56:18,212 - pyskl - INFO - Epoch [128][300/1027] lr: 1.387e-03, eta: 2:34:11, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 3.4013, loss: 3.4013 |
| 2025-06-02 07:56:56,185 - pyskl - INFO - Epoch [128][400/1027] lr: 1.376e-03, eta: 2:33:31, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 3.3174, loss: 3.3174 |
| 2025-06-02 07:57:34,152 - pyskl - INFO - Epoch [128][500/1027] lr: 1.364e-03, eta: 2:32:51, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 3.4105, loss: 3.4105 |
| 2025-06-02 07:58:12,142 - pyskl - INFO - Epoch [128][600/1027] lr: 1.353e-03, eta: 2:32:11, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 3.2401, loss: 3.2401 |
| 2025-06-02 07:58:50,111 - pyskl - INFO - Epoch [128][700/1027] lr: 1.341e-03, eta: 2:31:31, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 3.4468, loss: 3.4468 |
| 2025-06-02 07:59:28,539 - pyskl - INFO - Epoch [128][800/1027] lr: 1.330e-03, eta: 2:30:51, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 3.4053, loss: 3.4053 |
| 2025-06-02 08:00:06,789 - pyskl - INFO - Epoch [128][900/1027] lr: 1.318e-03, eta: 2:30:11, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 3.3433, loss: 3.3433 |
| 2025-06-02 08:00:44,862 - pyskl - INFO - Epoch [128][1000/1027] lr: 1.307e-03, eta: 2:29:31, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 3.3259, loss: 3.3259 |
| 2025-06-02 08:00:56,075 - pyskl - INFO - Saving checkpoint at 128 epochs |
| 2025-06-02 08:01:34,058 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 08:01:34,127 - pyskl - INFO - |
| top1_acc 0.6410 |
| top5_acc 0.8686 |
| 2025-06-02 08:01:34,127 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 08:01:34,138 - pyskl - INFO - |
| mean_acc 0.6432 |
| 2025-06-02 08:01:34,194 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_127.pth was removed |
| 2025-06-02 08:01:35,774 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. |
| 2025-06-02 08:01:35,776 - pyskl - INFO - Best top1_acc is 0.6410 at 128 epoch. |
| 2025-06-02 08:01:35,779 - pyskl - INFO - Epoch(val) [128][413] top1_acc: 0.6410, top5_acc: 0.8686, mean_class_accuracy: 0.6432 |
| 2025-06-02 08:02:39,491 - pyskl - INFO - Epoch [129][100/1027] lr: 1.292e-03, eta: 2:28:43, time: 0.637, data_time: 0.256, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 3.2953, loss: 3.2953 |
| 2025-06-02 08:03:17,452 - pyskl - INFO - Epoch [129][200/1027] lr: 1.281e-03, eta: 2:28:03, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 3.2990, loss: 3.2990 |
| 2025-06-02 08:03:55,415 - pyskl - INFO - Epoch [129][300/1027] lr: 1.270e-03, eta: 2:27:23, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 3.4073, loss: 3.4073 |
| 2025-06-02 08:04:33,578 - pyskl - INFO - Epoch [129][400/1027] lr: 1.259e-03, eta: 2:26:43, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 3.2691, loss: 3.2691 |
| 2025-06-02 08:05:11,794 - pyskl - INFO - Epoch [129][500/1027] lr: 1.248e-03, eta: 2:26:03, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 3.3415, loss: 3.3415 |
| 2025-06-02 08:05:50,033 - pyskl - INFO - Epoch [129][600/1027] lr: 1.237e-03, eta: 2:25:23, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 3.2907, loss: 3.2907 |
| 2025-06-02 08:06:28,295 - pyskl - INFO - Epoch [129][700/1027] lr: 1.226e-03, eta: 2:24:44, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 3.3168, loss: 3.3168 |
| 2025-06-02 08:07:06,426 - pyskl - INFO - Epoch [129][800/1027] lr: 1.215e-03, eta: 2:24:04, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 3.2889, loss: 3.2889 |
| 2025-06-02 08:07:45,062 - pyskl - INFO - Epoch [129][900/1027] lr: 1.204e-03, eta: 2:23:24, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 3.3136, loss: 3.3136 |
| 2025-06-02 08:08:23,374 - pyskl - INFO - Epoch [129][1000/1027] lr: 1.193e-03, eta: 2:22:44, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 3.4131, loss: 3.4131 |
| 2025-06-02 08:08:34,458 - pyskl - INFO - Saving checkpoint at 129 epochs |
| 2025-06-02 08:09:12,317 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 08:09:12,390 - pyskl - INFO - |
| top1_acc 0.6422 |
| top5_acc 0.8647 |
| 2025-06-02 08:09:12,391 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 08:09:12,400 - pyskl - INFO - |
| mean_acc 0.6435 |
| 2025-06-02 08:09:12,461 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_128.pth was removed |
| 2025-06-02 08:09:14,189 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. |
| 2025-06-02 08:09:14,190 - pyskl - INFO - Best top1_acc is 0.6422 at 129 epoch. |
| 2025-06-02 08:09:14,194 - pyskl - INFO - Epoch(val) [129][413] top1_acc: 0.6422, top5_acc: 0.8647, mean_class_accuracy: 0.6435 |
| 2025-06-02 08:10:18,106 - pyskl - INFO - Epoch [130][100/1027] lr: 1.179e-03, eta: 2:21:56, time: 0.639, data_time: 0.258, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 3.2896, loss: 3.2896 |
| 2025-06-02 08:10:56,095 - pyskl - INFO - Epoch [130][200/1027] lr: 1.168e-03, eta: 2:21:16, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 3.3624, loss: 3.3624 |
| 2025-06-02 08:11:34,101 - pyskl - INFO - Epoch [130][300/1027] lr: 1.157e-03, eta: 2:20:36, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 3.2327, loss: 3.2327 |
| 2025-06-02 08:12:12,088 - pyskl - INFO - Epoch [130][400/1027] lr: 1.147e-03, eta: 2:19:56, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.2493, loss: 3.2493 |
| 2025-06-02 08:12:50,080 - pyskl - INFO - Epoch [130][500/1027] lr: 1.136e-03, eta: 2:19:16, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 3.3840, loss: 3.3840 |
| 2025-06-02 08:13:28,083 - pyskl - INFO - Epoch [130][600/1027] lr: 1.125e-03, eta: 2:18:36, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 3.2832, loss: 3.2832 |
| 2025-06-02 08:14:06,186 - pyskl - INFO - Epoch [130][700/1027] lr: 1.115e-03, eta: 2:17:56, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 3.2621, loss: 3.2621 |
| 2025-06-02 08:14:44,294 - pyskl - INFO - Epoch [130][800/1027] lr: 1.104e-03, eta: 2:17:16, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 3.3629, loss: 3.3629 |
| 2025-06-02 08:15:22,697 - pyskl - INFO - Epoch [130][900/1027] lr: 1.094e-03, eta: 2:16:36, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.3104, loss: 3.3104 |
| 2025-06-02 08:16:00,808 - pyskl - INFO - Epoch [130][1000/1027] lr: 1.084e-03, eta: 2:15:56, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 3.3962, loss: 3.3962 |
| 2025-06-02 08:16:12,101 - pyskl - INFO - Saving checkpoint at 130 epochs |
| 2025-06-02 08:35:02,413 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 08:35:02,480 - pyskl - INFO - |
| top1_acc 0.6416 |
| top5_acc 0.8659 |
| 2025-06-02 08:35:02,481 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 08:35:02,488 - pyskl - INFO - |
| mean_acc 0.6419 |
| 2025-06-02 08:35:02,489 - pyskl - INFO - Epoch(val) [130][413] top1_acc: 0.6416, top5_acc: 0.8659, mean_class_accuracy: 0.6419 |
| 2025-06-02 08:36:06,209 - pyskl - INFO - Epoch [131][100/1027] lr: 1.070e-03, eta: 2:15:08, time: 0.637, data_time: 0.257, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.2487, loss: 3.2487 |
| 2025-06-02 08:36:44,581 - pyskl - INFO - Epoch [131][200/1027] lr: 1.060e-03, eta: 2:14:28, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 3.2577, loss: 3.2577 |
| 2025-06-02 08:37:22,814 - pyskl - INFO - Epoch [131][300/1027] lr: 1.050e-03, eta: 2:13:48, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 3.2307, loss: 3.2307 |
| 2025-06-02 08:38:01,279 - pyskl - INFO - Epoch [131][400/1027] lr: 1.040e-03, eta: 2:13:09, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 3.1915, loss: 3.1915 |
| 2025-06-02 08:38:39,575 - pyskl - INFO - Epoch [131][500/1027] lr: 1.030e-03, eta: 2:12:29, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 3.2575, loss: 3.2575 |
| 2025-06-02 08:39:17,925 - pyskl - INFO - Epoch [131][600/1027] lr: 1.019e-03, eta: 2:11:49, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 3.2049, loss: 3.2049 |
| 2025-06-02 08:39:56,318 - pyskl - INFO - Epoch [131][700/1027] lr: 1.009e-03, eta: 2:11:09, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 3.1597, loss: 3.1597 |
| 2025-06-02 08:40:34,938 - pyskl - INFO - Epoch [131][800/1027] lr: 9.994e-04, eta: 2:10:29, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.1290, loss: 3.1290 |
| 2025-06-02 08:41:13,471 - pyskl - INFO - Epoch [131][900/1027] lr: 9.894e-04, eta: 2:09:49, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.3335, loss: 3.3335 |
| 2025-06-02 08:41:52,056 - pyskl - INFO - Epoch [131][1000/1027] lr: 9.795e-04, eta: 2:09:09, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 3.1878, loss: 3.1878 |
| 2025-06-02 08:42:03,432 - pyskl - INFO - Saving checkpoint at 131 epochs |
| 2025-06-02 08:42:41,198 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 08:42:41,275 - pyskl - INFO - |
| top1_acc 0.6393 |
| top5_acc 0.8685 |
| 2025-06-02 08:42:41,276 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 08:42:41,287 - pyskl - INFO - |
| mean_acc 0.6389 |
| 2025-06-02 08:42:41,291 - pyskl - INFO - Epoch(val) [131][413] top1_acc: 0.6393, top5_acc: 0.8685, mean_class_accuracy: 0.6389 |
| 2025-06-02 08:43:46,486 - pyskl - INFO - Epoch [132][100/1027] lr: 9.670e-04, eta: 2:08:21, time: 0.652, data_time: 0.265, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 3.3077, loss: 3.3077 |
| 2025-06-02 08:44:25,030 - pyskl - INFO - Epoch [132][200/1027] lr: 9.571e-04, eta: 2:07:41, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1634, loss: 3.1634 |
| 2025-06-02 08:45:03,520 - pyskl - INFO - Epoch [132][300/1027] lr: 9.474e-04, eta: 2:07:02, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 3.1884, loss: 3.1884 |
| 2025-06-02 08:45:41,961 - pyskl - INFO - Epoch [132][400/1027] lr: 9.377e-04, eta: 2:06:22, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 3.3120, loss: 3.3120 |
| 2025-06-02 08:46:20,056 - pyskl - INFO - Epoch [132][500/1027] lr: 9.280e-04, eta: 2:05:42, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.2932, loss: 3.2932 |
| 2025-06-02 08:46:58,151 - pyskl - INFO - Epoch [132][600/1027] lr: 9.184e-04, eta: 2:05:02, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.2366, loss: 3.2366 |
| 2025-06-02 08:47:36,286 - pyskl - INFO - Epoch [132][700/1027] lr: 9.088e-04, eta: 2:04:22, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.2798, loss: 3.2798 |
| 2025-06-02 08:48:14,498 - pyskl - INFO - Epoch [132][800/1027] lr: 8.993e-04, eta: 2:03:42, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 3.2744, loss: 3.2744 |
| 2025-06-02 08:48:53,005 - pyskl - INFO - Epoch [132][900/1027] lr: 8.898e-04, eta: 2:03:02, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1082, loss: 3.1082 |
| 2025-06-02 08:49:31,390 - pyskl - INFO - Epoch [132][1000/1027] lr: 8.804e-04, eta: 2:02:23, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.2956, loss: 3.2956 |
| 2025-06-02 08:49:42,707 - pyskl - INFO - Saving checkpoint at 132 epochs |
| 2025-06-02 08:50:20,695 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 08:50:20,769 - pyskl - INFO - |
| top1_acc 0.6430 |
| top5_acc 0.8692 |
| 2025-06-02 08:50:20,769 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 08:50:20,777 - pyskl - INFO - |
| mean_acc 0.6426 |
| 2025-06-02 08:50:20,843 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_129.pth was removed |
| 2025-06-02 08:50:22,482 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. |
| 2025-06-02 08:50:22,484 - pyskl - INFO - Best top1_acc is 0.6430 at 132 epoch. |
| 2025-06-02 08:50:22,488 - pyskl - INFO - Epoch(val) [132][413] top1_acc: 0.6430, top5_acc: 0.8692, mean_class_accuracy: 0.6426 |
| 2025-06-02 08:51:29,012 - pyskl - INFO - Epoch [133][100/1027] lr: 8.685e-04, eta: 2:01:34, time: 0.665, data_time: 0.278, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 3.1801, loss: 3.1801 |
| 2025-06-02 08:52:07,609 - pyskl - INFO - Epoch [133][200/1027] lr: 8.592e-04, eta: 2:00:55, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.1421, loss: 3.1421 |
| 2025-06-02 08:52:46,201 - pyskl - INFO - Epoch [133][300/1027] lr: 8.500e-04, eta: 2:00:15, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 3.0151, loss: 3.0151 |
| 2025-06-02 08:53:24,452 - pyskl - INFO - Epoch [133][400/1027] lr: 8.407e-04, eta: 1:59:35, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1431, loss: 3.1431 |
| 2025-06-02 08:54:02,577 - pyskl - INFO - Epoch [133][500/1027] lr: 8.316e-04, eta: 1:58:55, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.1776, loss: 3.1776 |
| 2025-06-02 08:54:40,756 - pyskl - INFO - Epoch [133][600/1027] lr: 8.225e-04, eta: 1:58:15, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 3.2013, loss: 3.2013 |
| 2025-06-02 08:55:18,943 - pyskl - INFO - Epoch [133][700/1027] lr: 8.134e-04, eta: 1:57:35, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1642, loss: 3.1642 |
| 2025-06-02 08:55:57,210 - pyskl - INFO - Epoch [133][800/1027] lr: 8.044e-04, eta: 1:56:55, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.2008, loss: 3.2008 |
| 2025-06-02 08:56:36,002 - pyskl - INFO - Epoch [133][900/1027] lr: 7.954e-04, eta: 1:56:16, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 3.1336, loss: 3.1336 |
| 2025-06-02 08:57:14,326 - pyskl - INFO - Epoch [133][1000/1027] lr: 7.865e-04, eta: 1:55:36, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.2091, loss: 3.2091 |
| 2025-06-02 08:57:25,657 - pyskl - INFO - Saving checkpoint at 133 epochs |
| 2025-06-02 08:58:03,289 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 08:58:03,360 - pyskl - INFO - |
| top1_acc 0.6480 |
| top5_acc 0.8723 |
| 2025-06-02 08:58:03,360 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 08:58:03,368 - pyskl - INFO - |
| mean_acc 0.6490 |
| 2025-06-02 08:58:03,427 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_132.pth was removed |
| 2025-06-02 08:58:04,946 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. |
| 2025-06-02 08:58:04,947 - pyskl - INFO - Best top1_acc is 0.6480 at 133 epoch. |
| 2025-06-02 08:58:04,950 - pyskl - INFO - Epoch(val) [133][413] top1_acc: 0.6480, top5_acc: 0.8723, mean_class_accuracy: 0.6490 |
| 2025-06-02 08:59:09,833 - pyskl - INFO - Epoch [134][100/1027] lr: 7.752e-04, eta: 1:54:47, time: 0.649, data_time: 0.264, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1234, loss: 3.1234 |
| 2025-06-02 08:59:48,389 - pyskl - INFO - Epoch [134][200/1027] lr: 7.664e-04, eta: 1:54:07, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0146, loss: 3.0146 |
| 2025-06-02 09:00:26,873 - pyskl - INFO - Epoch [134][300/1027] lr: 7.576e-04, eta: 1:53:28, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.2025, loss: 3.2025 |
| 2025-06-02 09:01:05,168 - pyskl - INFO - Epoch [134][400/1027] lr: 7.489e-04, eta: 1:52:48, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.2771, loss: 3.2771 |
| 2025-06-02 09:01:43,326 - pyskl - INFO - Epoch [134][500/1027] lr: 7.402e-04, eta: 1:52:08, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.2036, loss: 3.2036 |
| 2025-06-02 09:02:21,485 - pyskl - INFO - Epoch [134][600/1027] lr: 7.316e-04, eta: 1:51:28, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.1768, loss: 3.1768 |
| 2025-06-02 09:02:59,678 - pyskl - INFO - Epoch [134][700/1027] lr: 7.231e-04, eta: 1:50:48, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.1538, loss: 3.1538 |
| 2025-06-02 09:03:38,095 - pyskl - INFO - Epoch [134][800/1027] lr: 7.145e-04, eta: 1:50:08, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.1737, loss: 3.1737 |
| 2025-06-02 09:04:16,702 - pyskl - INFO - Epoch [134][900/1027] lr: 7.061e-04, eta: 1:49:29, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1535, loss: 3.1535 |
| 2025-06-02 09:04:55,026 - pyskl - INFO - Epoch [134][1000/1027] lr: 6.976e-04, eta: 1:48:49, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.1557, loss: 3.1557 |
| 2025-06-02 09:05:06,291 - pyskl - INFO - Saving checkpoint at 134 epochs |
| 2025-06-02 09:05:44,096 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 09:05:44,166 - pyskl - INFO - |
| top1_acc 0.6475 |
| top5_acc 0.8721 |
| 2025-06-02 09:05:44,166 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 09:05:44,174 - pyskl - INFO - |
| mean_acc 0.6487 |
| 2025-06-02 09:05:44,176 - pyskl - INFO - Epoch(val) [134][413] top1_acc: 0.6475, top5_acc: 0.8721, mean_class_accuracy: 0.6487 |
| 2025-06-02 09:06:48,915 - pyskl - INFO - Epoch [135][100/1027] lr: 6.870e-04, eta: 1:48:00, time: 0.647, data_time: 0.264, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1742, loss: 3.1742 |
| 2025-06-02 09:07:27,348 - pyskl - INFO - Epoch [135][200/1027] lr: 6.787e-04, eta: 1:47:20, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0900, loss: 3.0900 |
| 2025-06-02 09:08:05,833 - pyskl - INFO - Epoch [135][300/1027] lr: 6.704e-04, eta: 1:46:40, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1724, loss: 3.1724 |
| 2025-06-02 09:08:43,914 - pyskl - INFO - Epoch [135][400/1027] lr: 6.622e-04, eta: 1:46:01, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1813, loss: 3.1813 |
| 2025-06-02 09:09:22,133 - pyskl - INFO - Epoch [135][500/1027] lr: 6.541e-04, eta: 1:45:21, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0971, loss: 3.0971 |
| 2025-06-02 09:10:00,179 - pyskl - INFO - Epoch [135][600/1027] lr: 6.460e-04, eta: 1:44:41, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.2178, loss: 3.2178 |
| 2025-06-02 09:10:38,386 - pyskl - INFO - Epoch [135][700/1027] lr: 6.379e-04, eta: 1:44:01, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.2426, loss: 3.2426 |
| 2025-06-02 09:11:16,459 - pyskl - INFO - Epoch [135][800/1027] lr: 6.299e-04, eta: 1:43:21, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.1353, loss: 3.1353 |
| 2025-06-02 09:11:54,374 - pyskl - INFO - Epoch [135][900/1027] lr: 6.219e-04, eta: 1:42:41, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1517, loss: 3.1517 |
| 2025-06-02 09:12:32,352 - pyskl - INFO - Epoch [135][1000/1027] lr: 6.140e-04, eta: 1:42:01, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.0546, loss: 3.0546 |
| 2025-06-02 09:12:43,477 - pyskl - INFO - Saving checkpoint at 135 epochs |
| 2025-06-02 09:31:46,565 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 09:31:46,634 - pyskl - INFO - |
| top1_acc 0.6495 |
| top5_acc 0.8680 |
| 2025-06-02 09:31:46,634 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 09:31:46,642 - pyskl - INFO - |
| mean_acc 0.6507 |
| 2025-06-02 09:31:46,701 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_133.pth was removed |
| 2025-06-02 09:31:48,235 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. |
| 2025-06-02 09:31:48,237 - pyskl - INFO - Best top1_acc is 0.6495 at 135 epoch. |
| 2025-06-02 09:31:48,239 - pyskl - INFO - Epoch(val) [135][413] top1_acc: 0.6495, top5_acc: 0.8680, mean_class_accuracy: 0.6507 |
| 2025-06-02 09:32:53,211 - pyskl - INFO - Epoch [136][100/1027] lr: 6.040e-04, eta: 1:41:13, time: 0.650, data_time: 0.271, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0914, loss: 3.0914 |
| 2025-06-02 09:33:31,536 - pyskl - INFO - Epoch [136][200/1027] lr: 5.962e-04, eta: 1:40:33, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0458, loss: 3.0458 |
| 2025-06-02 09:34:09,700 - pyskl - INFO - Epoch [136][300/1027] lr: 5.885e-04, eta: 1:39:53, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.3209, loss: 3.3209 |
| 2025-06-02 09:34:47,184 - pyskl - INFO - Epoch [136][400/1027] lr: 5.808e-04, eta: 1:39:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.2108, loss: 3.2108 |
| 2025-06-02 09:35:24,836 - pyskl - INFO - Epoch [136][500/1027] lr: 5.731e-04, eta: 1:38:33, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1733, loss: 3.1733 |
| 2025-06-02 09:36:03,052 - pyskl - INFO - Epoch [136][600/1027] lr: 5.655e-04, eta: 1:37:53, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1405, loss: 3.1405 |
| 2025-06-02 09:36:41,105 - pyskl - INFO - Epoch [136][700/1027] lr: 5.579e-04, eta: 1:37:13, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0708, loss: 3.0708 |
| 2025-06-02 09:37:19,093 - pyskl - INFO - Epoch [136][800/1027] lr: 5.504e-04, eta: 1:36:34, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 3.2282, loss: 3.2282 |
| 2025-06-02 09:37:57,063 - pyskl - INFO - Epoch [136][900/1027] lr: 5.430e-04, eta: 1:35:54, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 3.2725, loss: 3.2725 |
| 2025-06-02 09:38:35,061 - pyskl - INFO - Epoch [136][1000/1027] lr: 5.356e-04, eta: 1:35:14, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.2238, loss: 3.2238 |
| 2025-06-02 09:38:46,117 - pyskl - INFO - Saving checkpoint at 136 epochs |
| 2025-06-02 09:39:23,838 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 09:39:23,909 - pyskl - INFO - |
| top1_acc 0.6518 |
| top5_acc 0.8704 |
| 2025-06-02 09:39:23,910 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 09:39:23,918 - pyskl - INFO - |
| mean_acc 0.6509 |
| 2025-06-02 09:39:23,982 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_135.pth was removed |
| 2025-06-02 09:39:25,574 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. |
| 2025-06-02 09:39:25,576 - pyskl - INFO - Best top1_acc is 0.6518 at 136 epoch. |
| 2025-06-02 09:39:25,579 - pyskl - INFO - Epoch(val) [136][413] top1_acc: 0.6518, top5_acc: 0.8704, mean_class_accuracy: 0.6509 |
| 2025-06-02 09:40:30,111 - pyskl - INFO - Epoch [137][100/1027] lr: 5.262e-04, eta: 1:34:25, time: 0.645, data_time: 0.263, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 3.0616, loss: 3.0616 |
| 2025-06-02 09:41:08,691 - pyskl - INFO - Epoch [137][200/1027] lr: 5.189e-04, eta: 1:33:45, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0858, loss: 3.0858 |
| 2025-06-02 09:41:47,021 - pyskl - INFO - Epoch [137][300/1027] lr: 5.117e-04, eta: 1:33:05, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0030, loss: 3.0030 |
| 2025-06-02 09:42:25,259 - pyskl - INFO - Epoch [137][400/1027] lr: 5.045e-04, eta: 1:32:26, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.2348, loss: 3.2348 |
| 2025-06-02 09:43:03,982 - pyskl - INFO - Epoch [137][500/1027] lr: 4.974e-04, eta: 1:31:46, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1552, loss: 3.1552 |
| 2025-06-02 09:43:42,086 - pyskl - INFO - Epoch [137][600/1027] lr: 4.903e-04, eta: 1:31:06, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1125, loss: 3.1125 |
| 2025-06-02 09:44:20,140 - pyskl - INFO - Epoch [137][700/1027] lr: 4.832e-04, eta: 1:30:26, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0775, loss: 3.0775 |
| 2025-06-02 09:44:58,283 - pyskl - INFO - Epoch [137][800/1027] lr: 4.762e-04, eta: 1:29:46, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0782, loss: 3.0782 |
| 2025-06-02 09:45:36,276 - pyskl - INFO - Epoch [137][900/1027] lr: 4.693e-04, eta: 1:29:06, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 3.0962, loss: 3.0962 |
| 2025-06-02 09:46:14,622 - pyskl - INFO - Epoch [137][1000/1027] lr: 4.624e-04, eta: 1:28:27, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1516, loss: 3.1516 |
| 2025-06-02 09:46:25,910 - pyskl - INFO - Saving checkpoint at 137 epochs |
| 2025-06-02 09:47:03,554 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 09:47:03,625 - pyskl - INFO - |
| top1_acc 0.6556 |
| top5_acc 0.8698 |
| 2025-06-02 09:47:03,625 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 09:47:03,633 - pyskl - INFO - |
| mean_acc 0.6563 |
| 2025-06-02 09:47:03,691 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_136.pth was removed |
| 2025-06-02 09:47:05,249 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. |
| 2025-06-02 09:47:05,251 - pyskl - INFO - Best top1_acc is 0.6556 at 137 epoch. |
| 2025-06-02 09:47:05,253 - pyskl - INFO - Epoch(val) [137][413] top1_acc: 0.6556, top5_acc: 0.8698, mean_class_accuracy: 0.6563 |
| 2025-06-02 09:48:10,480 - pyskl - INFO - Epoch [138][100/1027] lr: 4.537e-04, eta: 1:27:38, time: 0.652, data_time: 0.264, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1200, loss: 3.1200 |
| 2025-06-02 09:48:48,990 - pyskl - INFO - Epoch [138][200/1027] lr: 4.469e-04, eta: 1:26:58, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1532, loss: 3.1532 |
| 2025-06-02 09:49:27,209 - pyskl - INFO - Epoch [138][300/1027] lr: 4.402e-04, eta: 1:26:18, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0123, loss: 3.0123 |
| 2025-06-02 09:50:05,562 - pyskl - INFO - Epoch [138][400/1027] lr: 4.335e-04, eta: 1:25:38, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 3.0654, loss: 3.0654 |
| 2025-06-02 09:50:44,010 - pyskl - INFO - Epoch [138][500/1027] lr: 4.269e-04, eta: 1:24:58, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0063, loss: 3.0063 |
| 2025-06-02 09:51:22,184 - pyskl - INFO - Epoch [138][600/1027] lr: 4.203e-04, eta: 1:24:19, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.8505, loss: 2.8505 |
| 2025-06-02 09:52:00,184 - pyskl - INFO - Epoch [138][700/1027] lr: 4.138e-04, eta: 1:23:39, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.0491, loss: 3.0491 |
| 2025-06-02 09:52:38,202 - pyskl - INFO - Epoch [138][800/1027] lr: 4.073e-04, eta: 1:22:59, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9580, loss: 2.9580 |
| 2025-06-02 09:53:16,174 - pyskl - INFO - Epoch [138][900/1027] lr: 4.009e-04, eta: 1:22:19, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0949, loss: 3.0949 |
| 2025-06-02 09:53:54,231 - pyskl - INFO - Epoch [138][1000/1027] lr: 3.945e-04, eta: 1:21:39, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1173, loss: 3.1173 |
| 2025-06-02 09:54:05,562 - pyskl - INFO - Saving checkpoint at 138 epochs |
| 2025-06-02 09:54:43,148 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 09:54:43,232 - pyskl - INFO - |
| top1_acc 0.6524 |
| top5_acc 0.8710 |
| 2025-06-02 09:54:43,232 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 09:54:43,240 - pyskl - INFO - |
| mean_acc 0.6512 |
| 2025-06-02 09:54:43,242 - pyskl - INFO - Epoch(val) [138][413] top1_acc: 0.6524, top5_acc: 0.8710, mean_class_accuracy: 0.6512 |
| 2025-06-02 09:55:48,316 - pyskl - INFO - Epoch [139][100/1027] lr: 3.865e-04, eta: 1:20:50, time: 0.651, data_time: 0.265, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 3.0504, loss: 3.0504 |
| 2025-06-02 09:56:26,929 - pyskl - INFO - Epoch [139][200/1027] lr: 3.802e-04, eta: 1:20:10, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.1735, loss: 3.1735 |
| 2025-06-02 09:57:05,039 - pyskl - INFO - Epoch [139][300/1027] lr: 3.740e-04, eta: 1:19:31, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0799, loss: 3.0799 |
| 2025-06-02 09:57:43,412 - pyskl - INFO - Epoch [139][400/1027] lr: 3.678e-04, eta: 1:18:51, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1268, loss: 3.1268 |
| 2025-06-02 09:58:21,827 - pyskl - INFO - Epoch [139][500/1027] lr: 3.617e-04, eta: 1:18:11, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1010, loss: 3.1010 |
| 2025-06-02 09:58:59,918 - pyskl - INFO - Epoch [139][600/1027] lr: 3.556e-04, eta: 1:17:31, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0594, loss: 3.0594 |
| 2025-06-02 09:59:37,952 - pyskl - INFO - Epoch [139][700/1027] lr: 3.496e-04, eta: 1:16:51, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1345, loss: 3.1345 |
| 2025-06-02 10:00:15,941 - pyskl - INFO - Epoch [139][800/1027] lr: 3.437e-04, eta: 1:16:12, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0959, loss: 3.0959 |
| 2025-06-02 10:00:53,907 - pyskl - INFO - Epoch [139][900/1027] lr: 3.378e-04, eta: 1:15:32, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0948, loss: 3.0948 |
| 2025-06-02 10:01:31,912 - pyskl - INFO - Epoch [139][1000/1027] lr: 3.319e-04, eta: 1:14:52, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0061, loss: 3.0061 |
| 2025-06-02 10:01:42,955 - pyskl - INFO - Saving checkpoint at 139 epochs |
| 2025-06-02 10:02:20,757 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:02:20,829 - pyskl - INFO - |
| top1_acc 0.6521 |
| top5_acc 0.8676 |
| 2025-06-02 10:02:20,829 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:02:20,837 - pyskl - INFO - |
| mean_acc 0.6517 |
| 2025-06-02 10:02:20,839 - pyskl - INFO - Epoch(val) [139][413] top1_acc: 0.6521, top5_acc: 0.8676, mean_class_accuracy: 0.6517 |
| 2025-06-02 10:03:25,936 - pyskl - INFO - Epoch [140][100/1027] lr: 3.245e-04, eta: 1:14:03, time: 0.651, data_time: 0.267, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0542, loss: 3.0542 |
| 2025-06-02 10:04:04,502 - pyskl - INFO - Epoch [140][200/1027] lr: 3.188e-04, eta: 1:13:23, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 3.0236, loss: 3.0236 |
| 2025-06-02 10:04:42,668 - pyskl - INFO - Epoch [140][300/1027] lr: 3.131e-04, eta: 1:12:43, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0375, loss: 3.0375 |
| 2025-06-02 10:05:21,319 - pyskl - INFO - Epoch [140][400/1027] lr: 3.074e-04, eta: 1:12:03, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0682, loss: 3.0682 |
| 2025-06-02 10:05:59,628 - pyskl - INFO - Epoch [140][500/1027] lr: 3.018e-04, eta: 1:11:24, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0430, loss: 3.0430 |
| 2025-06-02 10:06:37,613 - pyskl - INFO - Epoch [140][600/1027] lr: 2.963e-04, eta: 1:10:44, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0315, loss: 3.0315 |
| 2025-06-02 10:07:15,575 - pyskl - INFO - Epoch [140][700/1027] lr: 2.908e-04, eta: 1:10:04, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0998, loss: 3.0998 |
| 2025-06-02 10:07:53,556 - pyskl - INFO - Epoch [140][800/1027] lr: 2.854e-04, eta: 1:09:24, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0417, loss: 3.0417 |
| 2025-06-02 10:08:31,520 - pyskl - INFO - Epoch [140][900/1027] lr: 2.800e-04, eta: 1:08:44, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0090, loss: 3.0090 |
| 2025-06-02 10:09:10,024 - pyskl - INFO - Epoch [140][1000/1027] lr: 2.746e-04, eta: 1:08:05, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.1781, loss: 3.1781 |
| 2025-06-02 10:09:21,033 - pyskl - INFO - Saving checkpoint at 140 epochs |
| 2025-06-02 10:29:40,969 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:29:41,038 - pyskl - INFO - |
| top1_acc 0.6543 |
| top5_acc 0.8697 |
| 2025-06-02 10:29:41,038 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:29:41,046 - pyskl - INFO - |
| mean_acc 0.6553 |
| 2025-06-02 10:29:41,048 - pyskl - INFO - Epoch(val) [140][413] top1_acc: 0.6543, top5_acc: 0.8697, mean_class_accuracy: 0.6553 |
| 2025-06-02 10:30:44,839 - pyskl - INFO - Epoch [141][100/1027] lr: 2.679e-04, eta: 1:07:15, time: 0.638, data_time: 0.255, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0575, loss: 3.0575 |
| 2025-06-02 10:31:22,513 - pyskl - INFO - Epoch [141][200/1027] lr: 2.627e-04, eta: 1:06:35, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 3.0599, loss: 3.0599 |
| 2025-06-02 10:32:00,781 - pyskl - INFO - Epoch [141][300/1027] lr: 2.575e-04, eta: 1:05:56, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0174, loss: 3.0174 |
| 2025-06-02 10:32:39,529 - pyskl - INFO - Epoch [141][400/1027] lr: 2.524e-04, eta: 1:05:16, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 3.0743, loss: 3.0743 |
| 2025-06-02 10:33:17,615 - pyskl - INFO - Epoch [141][500/1027] lr: 2.473e-04, eta: 1:04:36, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9783, loss: 2.9783 |
| 2025-06-02 10:33:55,473 - pyskl - INFO - Epoch [141][600/1027] lr: 2.423e-04, eta: 1:03:56, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0276, loss: 3.0276 |
| 2025-06-02 10:34:33,854 - pyskl - INFO - Epoch [141][700/1027] lr: 2.374e-04, eta: 1:03:17, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 2.9826, loss: 2.9826 |
| 2025-06-02 10:35:11,765 - pyskl - INFO - Epoch [141][800/1027] lr: 2.324e-04, eta: 1:02:37, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0370, loss: 3.0370 |
| 2025-06-02 10:35:49,403 - pyskl - INFO - Epoch [141][900/1027] lr: 2.276e-04, eta: 1:01:57, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0456, loss: 3.0456 |
| 2025-06-02 10:36:27,376 - pyskl - INFO - Epoch [141][1000/1027] lr: 2.227e-04, eta: 1:01:17, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0159, loss: 3.0159 |
| 2025-06-02 10:36:38,364 - pyskl - INFO - Saving checkpoint at 141 epochs |
| 2025-06-02 10:37:15,520 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:37:15,591 - pyskl - INFO - |
| top1_acc 0.6516 |
| top5_acc 0.8691 |
| 2025-06-02 10:37:15,591 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:37:15,598 - pyskl - INFO - |
| mean_acc 0.6511 |
| 2025-06-02 10:37:15,600 - pyskl - INFO - Epoch(val) [141][413] top1_acc: 0.6516, top5_acc: 0.8691, mean_class_accuracy: 0.6511 |
| 2025-06-02 10:38:19,953 - pyskl - INFO - Epoch [142][100/1027] lr: 2.167e-04, eta: 1:00:28, time: 0.643, data_time: 0.257, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9703, loss: 2.9703 |
| 2025-06-02 10:38:57,790 - pyskl - INFO - Epoch [142][200/1027] lr: 2.120e-04, eta: 0:59:48, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9632, loss: 2.9632 |
| 2025-06-02 10:39:35,660 - pyskl - INFO - Epoch [142][300/1027] lr: 2.074e-04, eta: 0:59:08, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1067, loss: 3.1067 |
| 2025-06-02 10:40:13,889 - pyskl - INFO - Epoch [142][400/1027] lr: 2.028e-04, eta: 0:58:28, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1527, loss: 3.1527 |
| 2025-06-02 10:40:51,658 - pyskl - INFO - Epoch [142][500/1027] lr: 1.982e-04, eta: 0:57:49, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0275, loss: 3.0275 |
| 2025-06-02 10:41:29,331 - pyskl - INFO - Epoch [142][600/1027] lr: 1.937e-04, eta: 0:57:09, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9495, loss: 2.9495 |
| 2025-06-02 10:42:07,382 - pyskl - INFO - Epoch [142][700/1027] lr: 1.893e-04, eta: 0:56:29, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0434, loss: 3.0434 |
| 2025-06-02 10:42:45,256 - pyskl - INFO - Epoch [142][800/1027] lr: 1.849e-04, eta: 0:55:49, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0092, loss: 3.0092 |
| 2025-06-02 10:43:23,077 - pyskl - INFO - Epoch [142][900/1027] lr: 1.805e-04, eta: 0:55:09, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9421, loss: 2.9421 |
| 2025-06-02 10:44:00,847 - pyskl - INFO - Epoch [142][1000/1027] lr: 1.762e-04, eta: 0:54:30, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 3.0743, loss: 3.0743 |
| 2025-06-02 10:44:11,788 - pyskl - INFO - Saving checkpoint at 142 epochs |
| 2025-06-02 10:44:48,524 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:44:48,612 - pyskl - INFO - |
| top1_acc 0.6527 |
| top5_acc 0.8689 |
| 2025-06-02 10:44:48,613 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:44:48,621 - pyskl - INFO - |
| mean_acc 0.6519 |
| 2025-06-02 10:44:48,623 - pyskl - INFO - Epoch(val) [142][413] top1_acc: 0.6527, top5_acc: 0.8689, mean_class_accuracy: 0.6519 |
| 2025-06-02 10:45:52,267 - pyskl - INFO - Epoch [143][100/1027] lr: 1.709e-04, eta: 0:53:40, time: 0.636, data_time: 0.256, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9753, loss: 2.9753 |
| 2025-06-02 10:46:30,225 - pyskl - INFO - Epoch [143][200/1027] lr: 1.667e-04, eta: 0:53:00, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0220, loss: 3.0220 |
| 2025-06-02 10:47:08,479 - pyskl - INFO - Epoch [143][300/1027] lr: 1.626e-04, eta: 0:52:20, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 3.0090, loss: 3.0090 |
| 2025-06-02 10:47:46,566 - pyskl - INFO - Epoch [143][400/1027] lr: 1.585e-04, eta: 0:51:41, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0667, loss: 3.0667 |
| 2025-06-02 10:48:24,311 - pyskl - INFO - Epoch [143][500/1027] lr: 1.545e-04, eta: 0:51:01, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0733, loss: 3.0733 |
| 2025-06-02 10:49:02,000 - pyskl - INFO - Epoch [143][600/1027] lr: 1.505e-04, eta: 0:50:21, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1099, loss: 3.1099 |
| 2025-06-02 10:49:39,914 - pyskl - INFO - Epoch [143][700/1027] lr: 1.466e-04, eta: 0:49:41, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9718, loss: 2.9718 |
| 2025-06-02 10:50:17,921 - pyskl - INFO - Epoch [143][800/1027] lr: 1.427e-04, eta: 0:49:02, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9811, loss: 2.9811 |
| 2025-06-02 10:50:55,680 - pyskl - INFO - Epoch [143][900/1027] lr: 1.389e-04, eta: 0:48:22, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0874, loss: 3.0874 |
| 2025-06-02 10:51:33,750 - pyskl - INFO - Epoch [143][1000/1027] lr: 1.351e-04, eta: 0:47:42, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0732, loss: 3.0732 |
| 2025-06-02 10:51:45,013 - pyskl - INFO - Saving checkpoint at 143 epochs |
| 2025-06-02 10:52:22,030 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:52:22,099 - pyskl - INFO - |
| top1_acc 0.6549 |
| top5_acc 0.8712 |
| 2025-06-02 10:52:22,099 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:52:22,106 - pyskl - INFO - |
| mean_acc 0.6538 |
| 2025-06-02 10:52:22,108 - pyskl - INFO - Epoch(val) [143][413] top1_acc: 0.6549, top5_acc: 0.8712, mean_class_accuracy: 0.6538 |
| 2025-06-02 10:53:25,714 - pyskl - INFO - Epoch [144][100/1027] lr: 1.304e-04, eta: 0:46:52, time: 0.636, data_time: 0.256, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0300, loss: 3.0300 |
| 2025-06-02 10:54:04,949 - pyskl - INFO - Epoch [144][200/1027] lr: 1.268e-04, eta: 0:46:13, time: 0.392, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0866, loss: 3.0866 |
| 2025-06-02 10:54:43,706 - pyskl - INFO - Epoch [144][300/1027] lr: 1.232e-04, eta: 0:45:33, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9613, loss: 2.9613 |
| 2025-06-02 10:55:21,876 - pyskl - INFO - Epoch [144][400/1027] lr: 1.196e-04, eta: 0:44:53, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 3.0268, loss: 3.0268 |
| 2025-06-02 10:55:59,673 - pyskl - INFO - Epoch [144][500/1027] lr: 1.162e-04, eta: 0:44:13, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8898, loss: 2.8898 |
| 2025-06-02 10:56:37,713 - pyskl - INFO - Epoch [144][600/1027] lr: 1.127e-04, eta: 0:43:34, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9707, loss: 2.9707 |
| 2025-06-02 10:57:15,775 - pyskl - INFO - Epoch [144][700/1027] lr: 1.093e-04, eta: 0:42:54, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0524, loss: 3.0524 |
| 2025-06-02 10:57:53,935 - pyskl - INFO - Epoch [144][800/1027] lr: 1.060e-04, eta: 0:42:14, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9458, loss: 2.9458 |
| 2025-06-02 10:58:31,616 - pyskl - INFO - Epoch [144][900/1027] lr: 1.027e-04, eta: 0:41:34, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9029, loss: 2.9029 |
| 2025-06-02 10:59:09,376 - pyskl - INFO - Epoch [144][1000/1027] lr: 9.946e-05, eta: 0:40:55, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9921, loss: 2.9921 |
| 2025-06-02 10:59:20,299 - pyskl - INFO - Saving checkpoint at 144 epochs |
| 2025-06-02 10:59:56,633 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 10:59:56,702 - pyskl - INFO - |
| top1_acc 0.6569 |
| top5_acc 0.8703 |
| 2025-06-02 10:59:56,702 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 10:59:56,710 - pyskl - INFO - |
| mean_acc 0.6577 |
| 2025-06-02 10:59:56,782 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/jm/best_top1_acc_epoch_137.pth was removed |
| 2025-06-02 10:59:58,356 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. |
| 2025-06-02 10:59:58,358 - pyskl - INFO - Best top1_acc is 0.6569 at 144 epoch. |
| 2025-06-02 10:59:58,360 - pyskl - INFO - Epoch(val) [144][413] top1_acc: 0.6569, top5_acc: 0.8703, mean_class_accuracy: 0.6577 |
| 2025-06-02 11:01:02,114 - pyskl - INFO - Epoch [145][100/1027] lr: 9.543e-05, eta: 0:40:05, time: 0.637, data_time: 0.252, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0293, loss: 3.0293 |
| 2025-06-02 11:01:39,965 - pyskl - INFO - Epoch [145][200/1027] lr: 9.231e-05, eta: 0:39:25, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0811, loss: 3.0811 |
| 2025-06-02 11:02:17,945 - pyskl - INFO - Epoch [145][300/1027] lr: 8.924e-05, eta: 0:38:45, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0230, loss: 3.0230 |
| 2025-06-02 11:02:56,097 - pyskl - INFO - Epoch [145][400/1027] lr: 8.623e-05, eta: 0:38:06, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9870, loss: 2.9870 |
| 2025-06-02 11:03:35,832 - pyskl - INFO - Epoch [145][500/1027] lr: 8.327e-05, eta: 0:37:26, time: 0.397, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0502, loss: 3.0502 |
| 2025-06-02 11:04:15,495 - pyskl - INFO - Epoch [145][600/1027] lr: 8.035e-05, eta: 0:36:46, time: 0.397, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9286, loss: 2.9286 |
| 2025-06-02 11:04:53,967 - pyskl - INFO - Epoch [145][700/1027] lr: 7.749e-05, eta: 0:36:07, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0316, loss: 3.0316 |
| 2025-06-02 11:05:31,565 - pyskl - INFO - Epoch [145][800/1027] lr: 7.469e-05, eta: 0:35:27, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0307, loss: 3.0307 |
| 2025-06-02 11:06:09,172 - pyskl - INFO - Epoch [145][900/1027] lr: 7.193e-05, eta: 0:34:47, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0726, loss: 3.0726 |
| 2025-06-02 11:06:47,012 - pyskl - INFO - Epoch [145][1000/1027] lr: 6.922e-05, eta: 0:34:07, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9060, loss: 2.9060 |
| 2025-06-02 11:06:58,049 - pyskl - INFO - Saving checkpoint at 145 epochs |
| 2025-06-02 11:27:12,899 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 11:27:12,972 - pyskl - INFO - |
| top1_acc 0.6533 |
| top5_acc 0.8707 |
| 2025-06-02 11:27:12,972 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 11:27:12,980 - pyskl - INFO - |
| mean_acc 0.6538 |
| 2025-06-02 11:27:12,981 - pyskl - INFO - Epoch(val) [145][413] top1_acc: 0.6533, top5_acc: 0.8707, mean_class_accuracy: 0.6538 |
| 2025-06-02 11:28:14,899 - pyskl - INFO - Epoch [146][100/1027] lr: 6.586e-05, eta: 0:33:17, time: 0.619, data_time: 0.243, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9412, loss: 2.9412 |
| 2025-06-02 11:28:52,495 - pyskl - INFO - Epoch [146][200/1027] lr: 6.328e-05, eta: 0:32:38, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9973, loss: 2.9973 |
| 2025-06-02 11:29:30,140 - pyskl - INFO - Epoch [146][300/1027] lr: 6.074e-05, eta: 0:31:58, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0784, loss: 3.0784 |
| 2025-06-02 11:30:08,107 - pyskl - INFO - Epoch [146][400/1027] lr: 5.826e-05, eta: 0:31:18, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0088, loss: 3.0088 |
| 2025-06-02 11:30:45,998 - pyskl - INFO - Epoch [146][500/1027] lr: 5.582e-05, eta: 0:30:38, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9767, loss: 2.9767 |
| 2025-06-02 11:31:24,531 - pyskl - INFO - Epoch [146][600/1027] lr: 5.344e-05, eta: 0:29:59, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 2.9826, loss: 2.9826 |
| 2025-06-02 11:32:02,574 - pyskl - INFO - Epoch [146][700/1027] lr: 5.111e-05, eta: 0:29:19, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0314, loss: 3.0314 |
| 2025-06-02 11:32:40,407 - pyskl - INFO - Epoch [146][800/1027] lr: 4.884e-05, eta: 0:28:39, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0736, loss: 3.0736 |
| 2025-06-02 11:33:18,315 - pyskl - INFO - Epoch [146][900/1027] lr: 4.661e-05, eta: 0:27:59, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0405, loss: 3.0405 |
| 2025-06-02 11:33:56,456 - pyskl - INFO - Epoch [146][1000/1027] lr: 4.444e-05, eta: 0:27:20, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0919, loss: 3.0919 |
| 2025-06-02 11:34:07,429 - pyskl - INFO - Saving checkpoint at 146 epochs |
| 2025-06-02 11:34:44,420 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 11:34:44,491 - pyskl - INFO - |
| top1_acc 0.6519 |
| top5_acc 0.8695 |
| 2025-06-02 11:34:44,491 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 11:34:44,499 - pyskl - INFO - |
| mean_acc 0.6525 |
| 2025-06-02 11:34:44,501 - pyskl - INFO - Epoch(val) [146][413] top1_acc: 0.6519, top5_acc: 0.8695, mean_class_accuracy: 0.6525 |
| 2025-06-02 11:35:47,834 - pyskl - INFO - Epoch [147][100/1027] lr: 4.175e-05, eta: 0:26:30, time: 0.633, data_time: 0.253, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9771, loss: 2.9771 |
| 2025-06-02 11:36:25,841 - pyskl - INFO - Epoch [147][200/1027] lr: 3.970e-05, eta: 0:25:50, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8914, loss: 2.8914 |
| 2025-06-02 11:37:03,728 - pyskl - INFO - Epoch [147][300/1027] lr: 3.769e-05, eta: 0:25:10, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 2.9783, loss: 2.9783 |
| 2025-06-02 11:37:41,787 - pyskl - INFO - Epoch [147][400/1027] lr: 3.574e-05, eta: 0:24:31, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9455, loss: 2.9455 |
| 2025-06-02 11:38:20,218 - pyskl - INFO - Epoch [147][500/1027] lr: 3.384e-05, eta: 0:23:51, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0205, loss: 3.0205 |
| 2025-06-02 11:38:58,349 - pyskl - INFO - Epoch [147][600/1027] lr: 3.199e-05, eta: 0:23:11, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0297, loss: 3.0297 |
| 2025-06-02 11:39:36,239 - pyskl - INFO - Epoch [147][700/1027] lr: 3.020e-05, eta: 0:22:31, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9884, loss: 2.9884 |
| 2025-06-02 11:40:13,402 - pyskl - INFO - Epoch [147][800/1027] lr: 2.845e-05, eta: 0:21:52, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9975, loss_cls: 3.0288, loss: 3.0288 |
| 2025-06-02 11:40:51,144 - pyskl - INFO - Epoch [147][900/1027] lr: 2.676e-05, eta: 0:21:12, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9352, loss: 2.9352 |
| 2025-06-02 11:41:29,451 - pyskl - INFO - Epoch [147][1000/1027] lr: 2.512e-05, eta: 0:20:32, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1068, loss: 3.1068 |
| 2025-06-02 11:41:40,449 - pyskl - INFO - Saving checkpoint at 147 epochs |
| 2025-06-02 11:42:19,004 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 11:42:19,078 - pyskl - INFO - |
| top1_acc 0.6566 |
| top5_acc 0.8739 |
| 2025-06-02 11:42:19,078 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 11:42:19,087 - pyskl - INFO - |
| mean_acc 0.6572 |
| 2025-06-02 11:42:19,089 - pyskl - INFO - Epoch(val) [147][413] top1_acc: 0.6566, top5_acc: 0.8739, mean_class_accuracy: 0.6572 |
| 2025-06-02 11:43:25,701 - pyskl - INFO - Epoch [148][100/1027] lr: 2.311e-05, eta: 0:19:42, time: 0.666, data_time: 0.275, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9068, loss: 2.9068 |
| 2025-06-02 11:44:04,484 - pyskl - INFO - Epoch [148][200/1027] lr: 2.158e-05, eta: 0:19:03, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9588, loss: 2.9588 |
| 2025-06-02 11:44:42,844 - pyskl - INFO - Epoch [148][300/1027] lr: 2.011e-05, eta: 0:18:23, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0316, loss: 3.0316 |
| 2025-06-02 11:45:21,207 - pyskl - INFO - Epoch [148][400/1027] lr: 1.869e-05, eta: 0:17:43, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 3.0871, loss: 3.0871 |
| 2025-06-02 11:45:59,576 - pyskl - INFO - Epoch [148][500/1027] lr: 1.732e-05, eta: 0:17:03, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9741, loss: 2.9741 |
| 2025-06-02 11:46:38,072 - pyskl - INFO - Epoch [148][600/1027] lr: 1.601e-05, eta: 0:16:24, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0884, loss: 3.0884 |
| 2025-06-02 11:47:16,396 - pyskl - INFO - Epoch [148][700/1027] lr: 1.475e-05, eta: 0:15:44, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9629, loss: 2.9629 |
| 2025-06-02 11:47:54,651 - pyskl - INFO - Epoch [148][800/1027] lr: 1.353e-05, eta: 0:15:04, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8943, loss: 2.8943 |
| 2025-06-02 11:48:33,291 - pyskl - INFO - Epoch [148][900/1027] lr: 1.237e-05, eta: 0:14:25, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9727, loss: 2.9727 |
| 2025-06-02 11:49:11,931 - pyskl - INFO - Epoch [148][1000/1027] lr: 1.127e-05, eta: 0:13:45, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0129, loss: 3.0129 |
| 2025-06-02 11:49:23,213 - pyskl - INFO - Saving checkpoint at 148 epochs |
| 2025-06-02 11:50:00,648 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 11:50:00,720 - pyskl - INFO - |
| top1_acc 0.6499 |
| top5_acc 0.8707 |
| 2025-06-02 11:50:00,720 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 11:50:00,729 - pyskl - INFO - |
| mean_acc 0.6507 |
| 2025-06-02 11:50:00,732 - pyskl - INFO - Epoch(val) [148][413] top1_acc: 0.6499, top5_acc: 0.8707, mean_class_accuracy: 0.6507 |
| 2025-06-02 11:51:05,316 - pyskl - INFO - Epoch [149][100/1027] lr: 9.933e-06, eta: 0:12:55, time: 0.646, data_time: 0.258, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1555, loss: 3.1555 |
| 2025-06-02 11:51:43,750 - pyskl - INFO - Epoch [149][200/1027] lr: 8.943e-06, eta: 0:12:15, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0728, loss: 3.0728 |
| 2025-06-02 11:52:22,054 - pyskl - INFO - Epoch [149][300/1027] lr: 8.005e-06, eta: 0:11:35, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0470, loss: 3.0470 |
| 2025-06-02 11:53:00,381 - pyskl - INFO - Epoch [149][400/1027] lr: 7.119e-06, eta: 0:10:56, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0604, loss: 3.0604 |
| 2025-06-02 11:53:38,825 - pyskl - INFO - Epoch [149][500/1027] lr: 6.285e-06, eta: 0:10:16, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0199, loss: 3.0199 |
| 2025-06-02 11:54:17,162 - pyskl - INFO - Epoch [149][600/1027] lr: 5.502e-06, eta: 0:09:36, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0595, loss: 3.0595 |
| 2025-06-02 11:54:55,781 - pyskl - INFO - Epoch [149][700/1027] lr: 4.772e-06, eta: 0:08:57, time: 0.386, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9536, loss: 2.9536 |
| 2025-06-02 11:55:34,453 - pyskl - INFO - Epoch [149][800/1027] lr: 4.094e-06, eta: 0:08:17, time: 0.387, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0702, loss: 3.0702 |
| 2025-06-02 11:56:12,747 - pyskl - INFO - Epoch [149][900/1027] lr: 3.467e-06, eta: 0:07:37, time: 0.383, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.8898, loss: 2.8898 |
| 2025-06-02 11:56:51,163 - pyskl - INFO - Epoch [149][1000/1027] lr: 2.893e-06, eta: 0:06:58, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8993, loss: 2.8993 |
| 2025-06-02 11:57:02,368 - pyskl - INFO - Saving checkpoint at 149 epochs |
| 2025-06-02 11:57:40,021 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 11:57:40,092 - pyskl - INFO - |
| top1_acc 0.6518 |
| top5_acc 0.8709 |
| 2025-06-02 11:57:40,092 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 11:57:40,099 - pyskl - INFO - |
| mean_acc 0.6524 |
| 2025-06-02 11:57:40,101 - pyskl - INFO - Epoch(val) [149][413] top1_acc: 0.6518, top5_acc: 0.8709, mean_class_accuracy: 0.6524 |
| 2025-06-02 11:58:44,362 - pyskl - INFO - Epoch [150][100/1027] lr: 2.238e-06, eta: 0:06:07, time: 0.643, data_time: 0.258, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9853, loss: 2.9853 |
| 2025-06-02 11:59:22,806 - pyskl - INFO - Epoch [150][200/1027] lr: 1.782e-06, eta: 0:05:28, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.9721, loss: 2.9721 |
| 2025-06-02 12:00:00,939 - pyskl - INFO - Epoch [150][300/1027] lr: 1.378e-06, eta: 0:04:48, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9684, loss: 2.9684 |
| 2025-06-02 12:00:39,043 - pyskl - INFO - Epoch [150][400/1027] lr: 1.025e-06, eta: 0:04:08, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9993, loss: 2.9993 |
| 2025-06-02 12:01:17,204 - pyskl - INFO - Epoch [150][500/1027] lr: 7.246e-07, eta: 0:03:29, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 3.0824, loss: 3.0824 |
| 2025-06-02 12:01:55,248 - pyskl - INFO - Epoch [150][600/1027] lr: 4.761e-07, eta: 0:02:49, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0440, loss: 3.0440 |
| 2025-06-02 12:02:33,203 - pyskl - INFO - Epoch [150][700/1027] lr: 2.796e-07, eta: 0:02:09, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8387, loss: 2.8387 |
| 2025-06-02 12:03:11,149 - pyskl - INFO - Epoch [150][800/1027] lr: 1.351e-07, eta: 0:01:30, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0191, loss: 3.0191 |
| 2025-06-02 12:03:49,574 - pyskl - INFO - Epoch [150][900/1027] lr: 4.259e-08, eta: 0:00:50, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0612, loss: 3.0612 |
| 2025-06-02 12:04:27,936 - pyskl - INFO - Epoch [150][1000/1027] lr: 2.038e-09, eta: 0:00:10, time: 0.384, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8762, loss: 2.8762 |
| 2025-06-02 12:04:39,024 - pyskl - INFO - Saving checkpoint at 150 epochs |
| 2025-06-02 12:05:16,090 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-06-02 12:05:16,161 - pyskl - INFO - |
| top1_acc 0.6553 |
| top5_acc 0.8706 |
| 2025-06-02 12:05:16,162 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-06-02 12:05:16,169 - pyskl - INFO - |
| mean_acc 0.6541 |
| 2025-06-02 12:05:16,171 - pyskl - INFO - Epoch(val) [150][413] top1_acc: 0.6553, top5_acc: 0.8706, mean_class_accuracy: 0.6541 |
| 2025-06-02 12:05:25,820 - pyskl - INFO - 6599 videos remain after valid thresholding |
| 2025-06-02 12:08:54,458 - pyskl - INFO - Testing results of the last checkpoint |
| 2025-06-02 12:08:54,458 - pyskl - INFO - top1_acc: 0.6609 |
| 2025-06-02 12:08:54,458 - pyskl - INFO - top5_acc: 0.8795 |
| 2025-06-02 12:08:54,458 - pyskl - INFO - mean_class_accuracy: 0.6628 |
| 2025-06-02 12:08:54,459 - pyskl - INFO - load checkpoint from local path: ./work_dirs/uav_csv2/jm/best_top1_acc_epoch_144.pth |
| 2025-06-02 12:12:22,063 - pyskl - INFO - Testing results of the best checkpoint |
| 2025-06-02 12:12:22,063 - pyskl - INFO - top1_acc: 0.6619 |
| 2025-06-02 12:12:22,063 - pyskl - INFO - top5_acc: 0.8777 |
| 2025-06-02 12:12:22,063 - pyskl - INFO - mean_class_accuracy: 0.6638 |
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