| 2025-05-15 13:43:43,529 - pyskl - INFO - Environment info: |
| ------------------------------------------------------------ |
| sys.platform: linux |
| Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] |
| CUDA available: True |
| GPU 0: Tesla V100-PCIE-32GB |
| CUDA_HOME: /usr/local/cuda-11.7 |
| NVCC: Cuda compilation tools, release 11.7, V11.7.64 |
| GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 |
| PyTorch: 1.11.0 |
| PyTorch compiling details: PyTorch built with: |
| - GCC 7.3 |
| - C++ Version: 201402 |
| - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications |
| - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) |
| - OpenMP 201511 (a.k.a. OpenMP 4.5) |
| - LAPACK is enabled (usually provided by MKL) |
| - NNPACK is enabled |
| - CPU capability usage: AVX2 |
| - CUDA Runtime 11.3 |
| - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 |
| - CuDNN 8.2 |
| - Magma 2.5.2 |
| - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, |
|
|
| TorchVision: 0.12.0 |
| OpenCV: 4.8.0 |
| MMCV: 1.5.0 |
| MMCV Compiler: GCC 7.3 |
| MMCV CUDA Compiler: 11.3 |
| pyskl: 0.1.0+ |
| ------------------------------------------------------------ |
|
|
| 2025-05-15 13:43:43,833 - pyskl - INFO - Config: modality = 'b' |
| graph = 'uav' |
| work_dir = './work_dirs/uav_csv2/b_2' |
| model = dict( |
| type='RecognizerGCN', |
| backbone=dict( |
| type='GCN_Module_LLM', |
| llm_model='gpt4o', |
| llm_modality='b', |
| num_classes=155, |
| tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], |
| graph_cfg=dict( |
| layout='uav', |
| mode='random', |
| num_filter=8, |
| init_off=0.04, |
| init_std=0.02)), |
| cls_head=dict( |
| type='SimpleHead', |
| joint_cfg='uav', |
| num_classes=155, |
| in_channels=384, |
| work_dir='./work_dirs/uav_csv2/b_2', |
| interval_epoch=10, |
| weight_1=0.3, |
| 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=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ] |
| val_pipeline = [ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=1), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ] |
| test_pipeline = [ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=10), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ] |
| data = dict( |
| videos_per_gpu=16, |
| workers_per_gpu=4, |
| test_dataloader=dict(videos_per_gpu=1), |
| train=dict( |
| type='PoseDataset', |
| ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl', |
| pipeline=[ |
| dict(type='UniformSampleFrames', clip_len=100), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ], |
| split='train'), |
| val=dict( |
| type='PoseDataset', |
| ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl', |
| pipeline=[ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=1), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ], |
| split='val'), |
| test=dict( |
| type='PoseDataset', |
| ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl', |
| pipeline=[ |
| dict(type='UniformSampleFrames', clip_len=100, num_clips=10), |
| dict(type='PoseDecode'), |
| dict(type='GenSkeFeat', dataset='uav', feats=['b']), |
| dict(type='FormatGCNInput', num_person=2), |
| dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), |
| dict(type='ToTensor', keys=['keypoint']) |
| ], |
| split='val')) |
| optimizer = dict( |
| type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) |
| optimizer_config = dict(grad_clip=None) |
| lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) |
| total_epochs = 150 |
| checkpoint_config = dict(interval=1) |
| evaluation = dict( |
| interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) |
| log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) |
| dist_params = dict(backend='nccl') |
| gpu_ids = range(0, 1) |
|
|
| 2025-05-15 13:43:43,833 - pyskl - INFO - Set random seed to 2103466037, deterministic: False |
| 2025-05-15 13:43:56,098 - pyskl - INFO - 16432 videos remain after valid thresholding |
| 2025-05-15 13:44:02,832 - pyskl - INFO - 6599 videos remain after valid thresholding |
| 2025-05-15 13:44:02,875 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/uav_csv2/b_2 |
| 2025-05-15 13:44:02,875 - pyskl - INFO - Hooks will be executed in the following order: |
| before_run: |
| (VERY_HIGH ) CosineAnnealingLrUpdaterHook |
| (NORMAL ) CustomCheckpointHook |
| (NORMAL ) DistEvalHook |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| before_train_epoch: |
| (VERY_HIGH ) CosineAnnealingLrUpdaterHook |
| (NORMAL ) DistSamplerSeedHook |
| (NORMAL ) DistEvalHook |
| (LOW ) IterTimerHook |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| before_train_iter: |
| (VERY_HIGH ) CosineAnnealingLrUpdaterHook |
| (NORMAL ) DistEvalHook |
| (LOW ) IterTimerHook |
| -------------------- |
| after_train_iter: |
| (ABOVE_NORMAL) OptimizerHook |
| (NORMAL ) CustomCheckpointHook |
| (NORMAL ) DistEvalHook |
| (LOW ) IterTimerHook |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| after_train_epoch: |
| (NORMAL ) CustomCheckpointHook |
| (NORMAL ) DistEvalHook |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| before_val_epoch: |
| (NORMAL ) DistSamplerSeedHook |
| (LOW ) IterTimerHook |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| before_val_iter: |
| (LOW ) IterTimerHook |
| -------------------- |
| after_val_iter: |
| (LOW ) IterTimerHook |
| -------------------- |
| after_val_epoch: |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| after_run: |
| (VERY_LOW ) TextLoggerHook |
| -------------------- |
| 2025-05-15 13:44:02,875 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs |
| 2025-05-15 13:44:02,876 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/uav_csv2/b_2 by HardDiskBackend. |
| 2025-05-15 13:45:05,892 - pyskl - INFO - Epoch [1][100/1027] lr: 2.500e-02, eta: 1 day, 2:56:47, time: 0.630, data_time: 0.251, memory: 7959, top1_acc: 0.0094, top5_acc: 0.0519, loss_cls: 12.5497, loss: 12.5497 |
| 2025-05-15 13:45:43,234 - pyskl - INFO - Epoch [1][200/1027] lr: 2.500e-02, eta: 21:26:37, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.0100, top5_acc: 0.0506, loss_cls: 11.9414, loss: 11.9414 |
| 2025-05-15 13:46:20,611 - pyskl - INFO - Epoch [1][300/1027] lr: 2.500e-02, eta: 19:36:26, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0606, loss_cls: 11.7240, loss: 11.7240 |
| 2025-05-15 13:46:57,797 - pyskl - INFO - Epoch [1][400/1027] lr: 2.500e-02, eta: 18:39:49, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0544, loss_cls: 11.6666, loss: 11.6666 |
| 2025-05-15 13:47:34,953 - pyskl - INFO - Epoch [1][500/1027] lr: 2.500e-02, eta: 18:05:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.0106, top5_acc: 0.0644, loss_cls: 11.5599, loss: 11.5599 |
| 2025-05-15 13:48:12,161 - pyskl - INFO - Epoch [1][600/1027] lr: 2.500e-02, eta: 17:42:32, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.0081, top5_acc: 0.0563, loss_cls: 11.5481, loss: 11.5481 |
| 2025-05-15 13:48:49,373 - pyskl - INFO - Epoch [1][700/1027] lr: 2.500e-02, eta: 17:26:01, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.0144, top5_acc: 0.0644, loss_cls: 11.5157, loss: 11.5157 |
| 2025-05-15 13:49:26,588 - pyskl - INFO - Epoch [1][800/1027] lr: 2.500e-02, eta: 17:13:29, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0600, loss_cls: 11.4849, loss: 11.4849 |
| 2025-05-15 13:50:03,886 - pyskl - INFO - Epoch [1][900/1027] lr: 2.500e-02, eta: 17:03:50, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.0138, top5_acc: 0.0756, loss_cls: 11.4188, loss: 11.4188 |
| 2025-05-15 13:50:41,530 - pyskl - INFO - Epoch [1][1000/1027] lr: 2.500e-02, eta: 16:56:52, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.0106, top5_acc: 0.0600, loss_cls: 11.4753, loss: 11.4753 |
| 2025-05-15 13:50:52,419 - pyskl - INFO - Saving checkpoint at 1 epochs |
| 2025-05-15 13:51:29,483 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 13:51:29,548 - pyskl - INFO - |
| top1_acc 0.0168 |
| top5_acc 0.0685 |
| 2025-05-15 13:51:29,548 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 13:51:29,555 - pyskl - INFO - |
| mean_acc 0.0171 |
| 2025-05-15 13:51:31,171 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. |
| 2025-05-15 13:51:31,173 - pyskl - INFO - Best top1_acc is 0.0168 at 1 epoch. |
| 2025-05-15 13:51:31,177 - pyskl - INFO - Epoch(val) [1][413] top1_acc: 0.0168, top5_acc: 0.0685, mean_class_accuracy: 0.0171 |
| 2025-05-15 13:52:34,751 - pyskl - INFO - Epoch [2][100/1027] lr: 2.500e-02, eta: 17:25:17, time: 0.636, data_time: 0.260, memory: 7959, top1_acc: 0.0169, top5_acc: 0.0675, loss_cls: 11.4183, loss: 11.4183 |
| 2025-05-15 13:53:12,464 - pyskl - INFO - Epoch [2][200/1027] lr: 2.500e-02, eta: 17:17:45, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.0144, top5_acc: 0.0700, loss_cls: 11.3984, loss: 11.3984 |
| 2025-05-15 13:53:50,090 - pyskl - INFO - Epoch [2][300/1027] lr: 2.500e-02, eta: 17:11:05, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.0200, top5_acc: 0.0712, loss_cls: 11.3961, loss: 11.3961 |
| 2025-05-15 13:54:27,425 - pyskl - INFO - Epoch [2][400/1027] lr: 2.499e-02, eta: 17:04:45, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.0125, top5_acc: 0.0737, loss_cls: 11.3700, loss: 11.3700 |
| 2025-05-15 13:55:04,601 - pyskl - INFO - Epoch [2][500/1027] lr: 2.499e-02, eta: 16:58:54, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.0181, top5_acc: 0.0956, loss_cls: 11.3081, loss: 11.3081 |
| 2025-05-15 13:55:41,749 - pyskl - INFO - Epoch [2][600/1027] lr: 2.499e-02, eta: 16:53:39, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.0269, top5_acc: 0.1169, loss_cls: 11.1715, loss: 11.1715 |
| 2025-05-15 13:56:18,856 - pyskl - INFO - Epoch [2][700/1027] lr: 2.499e-02, eta: 16:48:53, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.0275, top5_acc: 0.1106, loss_cls: 11.1457, loss: 11.1457 |
| 2025-05-15 13:56:56,052 - pyskl - INFO - Epoch [2][800/1027] lr: 2.499e-02, eta: 16:44:41, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.0256, top5_acc: 0.1300, loss_cls: 11.0261, loss: 11.0261 |
| 2025-05-15 13:57:33,367 - pyskl - INFO - Epoch [2][900/1027] lr: 2.499e-02, eta: 16:41:01, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.0275, top5_acc: 0.1194, loss_cls: 11.0807, loss: 11.0807 |
| 2025-05-15 13:58:10,901 - pyskl - INFO - Epoch [2][1000/1027] lr: 2.499e-02, eta: 16:37:55, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0319, top5_acc: 0.1544, loss_cls: 10.9306, loss: 10.9306 |
| 2025-05-15 13:58:21,839 - pyskl - INFO - Saving checkpoint at 2 epochs |
| 2025-05-15 13:58:59,454 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 13:58:59,521 - pyskl - INFO - |
| top1_acc 0.0506 |
| top5_acc 0.1764 |
| 2025-05-15 13:58:59,521 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 13:58:59,528 - pyskl - INFO - |
| mean_acc 0.0542 |
| 2025-05-15 13:58:59,584 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_1.pth was removed |
| 2025-05-15 13:59:01,202 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. |
| 2025-05-15 13:59:01,204 - pyskl - INFO - Best top1_acc is 0.0506 at 2 epoch. |
| 2025-05-15 13:59:01,207 - pyskl - INFO - Epoch(val) [2][413] top1_acc: 0.0506, top5_acc: 0.1764, mean_class_accuracy: 0.0542 |
| 2025-05-15 14:00:04,836 - pyskl - INFO - Epoch [3][100/1027] lr: 2.499e-02, eta: 16:53:05, time: 0.636, data_time: 0.261, memory: 7959, top1_acc: 0.0387, top5_acc: 0.1512, loss_cls: 10.8422, loss: 10.8422 |
| 2025-05-15 14:00:42,512 - pyskl - INFO - Epoch [3][200/1027] lr: 2.499e-02, eta: 16:49:47, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.0413, top5_acc: 0.1550, loss_cls: 10.7036, loss: 10.7036 |
| 2025-05-15 14:01:20,052 - pyskl - INFO - Epoch [3][300/1027] lr: 2.499e-02, eta: 16:46:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0413, top5_acc: 0.1894, loss_cls: 10.6684, loss: 10.6684 |
| 2025-05-15 14:01:57,449 - pyskl - INFO - Epoch [3][400/1027] lr: 2.498e-02, eta: 16:43:25, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.0394, top5_acc: 0.1862, loss_cls: 10.6455, loss: 10.6455 |
| 2025-05-15 14:02:34,838 - pyskl - INFO - Epoch [3][500/1027] lr: 2.498e-02, eta: 16:40:27, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.0419, top5_acc: 0.1913, loss_cls: 10.6460, loss: 10.6460 |
| 2025-05-15 14:03:11,990 - pyskl - INFO - Epoch [3][600/1027] lr: 2.498e-02, eta: 16:37:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.0481, top5_acc: 0.1975, loss_cls: 10.5593, loss: 10.5593 |
| 2025-05-15 14:03:49,214 - pyskl - INFO - Epoch [3][700/1027] lr: 2.498e-02, eta: 16:34:40, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.0694, top5_acc: 0.2263, loss_cls: 10.4342, loss: 10.4342 |
| 2025-05-15 14:04:26,473 - pyskl - INFO - Epoch [3][800/1027] lr: 2.498e-02, eta: 16:32:05, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.0594, top5_acc: 0.2244, loss_cls: 10.5460, loss: 10.5460 |
| 2025-05-15 14:05:04,133 - pyskl - INFO - Epoch [3][900/1027] lr: 2.498e-02, eta: 16:29:58, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.0625, top5_acc: 0.2400, loss_cls: 10.3721, loss: 10.3721 |
| 2025-05-15 14:05:41,847 - pyskl - INFO - Epoch [3][1000/1027] lr: 2.498e-02, eta: 16:28:00, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.0813, top5_acc: 0.2506, loss_cls: 10.2864, loss: 10.2864 |
| 2025-05-15 14:05:52,612 - pyskl - INFO - Saving checkpoint at 3 epochs |
| 2025-05-15 14:06:30,157 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:06:30,229 - pyskl - INFO - |
| top1_acc 0.0788 |
| top5_acc 0.2949 |
| 2025-05-15 14:06:30,229 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:06:30,237 - pyskl - INFO - |
| mean_acc 0.0817 |
| 2025-05-15 14:06:30,293 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_2.pth was removed |
| 2025-05-15 14:06:31,920 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. |
| 2025-05-15 14:06:31,921 - pyskl - INFO - Best top1_acc is 0.0788 at 3 epoch. |
| 2025-05-15 14:06:31,924 - pyskl - INFO - Epoch(val) [3][413] top1_acc: 0.0788, top5_acc: 0.2949, mean_class_accuracy: 0.0817 |
| 2025-05-15 14:07:35,104 - pyskl - INFO - Epoch [4][100/1027] lr: 2.497e-02, eta: 16:37:41, time: 0.632, data_time: 0.257, memory: 7959, top1_acc: 0.0775, top5_acc: 0.2863, loss_cls: 10.1298, loss: 10.1298 |
| 2025-05-15 14:08:12,577 - pyskl - INFO - Epoch [4][200/1027] lr: 2.497e-02, eta: 16:35:20, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0756, top5_acc: 0.2831, loss_cls: 10.0688, loss: 10.0688 |
| 2025-05-15 14:08:50,376 - pyskl - INFO - Epoch [4][300/1027] lr: 2.497e-02, eta: 16:33:20, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.0800, top5_acc: 0.2856, loss_cls: 10.0803, loss: 10.0803 |
| 2025-05-15 14:09:27,917 - pyskl - INFO - Epoch [4][400/1027] lr: 2.497e-02, eta: 16:31:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0900, top5_acc: 0.3081, loss_cls: 10.0197, loss: 10.0197 |
| 2025-05-15 14:10:05,523 - pyskl - INFO - Epoch [4][500/1027] lr: 2.497e-02, eta: 16:29:14, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.0988, top5_acc: 0.3031, loss_cls: 10.0215, loss: 10.0215 |
| 2025-05-15 14:10:42,806 - pyskl - INFO - Epoch [4][600/1027] lr: 2.496e-02, eta: 16:27:06, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.0938, top5_acc: 0.3325, loss_cls: 9.9192, loss: 9.9192 |
| 2025-05-15 14:11:20,055 - pyskl - INFO - Epoch [4][700/1027] lr: 2.496e-02, eta: 16:25:02, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.0931, top5_acc: 0.3519, loss_cls: 9.8604, loss: 9.8604 |
| 2025-05-15 14:11:57,388 - pyskl - INFO - Epoch [4][800/1027] lr: 2.496e-02, eta: 16:23:05, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.1006, top5_acc: 0.3600, loss_cls: 9.8201, loss: 9.8201 |
| 2025-05-15 14:12:34,616 - pyskl - INFO - Epoch [4][900/1027] lr: 2.496e-02, eta: 16:21:08, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.1231, top5_acc: 0.3856, loss_cls: 9.7633, loss: 9.7633 |
| 2025-05-15 14:13:12,184 - pyskl - INFO - Epoch [4][1000/1027] lr: 2.496e-02, eta: 16:19:28, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.1131, top5_acc: 0.3806, loss_cls: 9.6948, loss: 9.6948 |
| 2025-05-15 14:13:23,146 - pyskl - INFO - Saving checkpoint at 4 epochs |
| 2025-05-15 14:14:00,610 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:14:00,683 - pyskl - INFO - |
| top1_acc 0.1326 |
| top5_acc 0.4514 |
| 2025-05-15 14:14:00,683 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:14:00,691 - pyskl - INFO - |
| mean_acc 0.1274 |
| 2025-05-15 14:14:00,747 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_3.pth was removed |
| 2025-05-15 14:14:02,359 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. |
| 2025-05-15 14:14:02,360 - pyskl - INFO - Best top1_acc is 0.1326 at 4 epoch. |
| 2025-05-15 14:14:02,365 - pyskl - INFO - Epoch(val) [4][413] top1_acc: 0.1326, top5_acc: 0.4514, mean_class_accuracy: 0.1274 |
| 2025-05-15 14:15:05,804 - pyskl - INFO - Epoch [5][100/1027] lr: 2.495e-02, eta: 16:26:45, time: 0.634, data_time: 0.258, memory: 7959, top1_acc: 0.1325, top5_acc: 0.4069, loss_cls: 9.5902, loss: 9.5902 |
| 2025-05-15 14:15:43,417 - pyskl - INFO - Epoch [5][200/1027] lr: 2.495e-02, eta: 16:24:59, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.1325, top5_acc: 0.4281, loss_cls: 9.5777, loss: 9.5777 |
| 2025-05-15 14:16:21,115 - pyskl - INFO - Epoch [5][300/1027] lr: 2.495e-02, eta: 16:23:20, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.1394, top5_acc: 0.4381, loss_cls: 9.4849, loss: 9.4849 |
| 2025-05-15 14:16:58,377 - pyskl - INFO - Epoch [5][400/1027] lr: 2.495e-02, eta: 16:21:29, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.1338, top5_acc: 0.4056, loss_cls: 9.5823, loss: 9.5823 |
| 2025-05-15 14:17:35,964 - pyskl - INFO - Epoch [5][500/1027] lr: 2.494e-02, eta: 16:19:51, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.1531, top5_acc: 0.4369, loss_cls: 9.3656, loss: 9.3656 |
| 2025-05-15 14:18:13,415 - pyskl - INFO - Epoch [5][600/1027] lr: 2.494e-02, eta: 16:18:12, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.1569, top5_acc: 0.4469, loss_cls: 9.3919, loss: 9.3919 |
| 2025-05-15 14:18:50,616 - pyskl - INFO - Epoch [5][700/1027] lr: 2.494e-02, eta: 16:16:27, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.1531, top5_acc: 0.4775, loss_cls: 9.3836, loss: 9.3836 |
| 2025-05-15 14:19:27,798 - pyskl - INFO - Epoch [5][800/1027] lr: 2.494e-02, eta: 16:14:45, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.1606, top5_acc: 0.4675, loss_cls: 9.3365, loss: 9.3365 |
| 2025-05-15 14:20:05,275 - pyskl - INFO - Epoch [5][900/1027] lr: 2.493e-02, eta: 16:13:14, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.1894, top5_acc: 0.4769, loss_cls: 9.2370, loss: 9.2370 |
| 2025-05-15 14:20:42,861 - pyskl - INFO - Epoch [5][1000/1027] lr: 2.493e-02, eta: 16:11:48, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.1900, top5_acc: 0.4894, loss_cls: 9.3027, loss: 9.3027 |
| 2025-05-15 14:20:53,841 - pyskl - INFO - Saving checkpoint at 5 epochs |
| 2025-05-15 14:21:30,962 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:21:31,035 - pyskl - INFO - |
| top1_acc 0.2282 |
| top5_acc 0.6098 |
| 2025-05-15 14:21:31,035 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:21:31,042 - pyskl - INFO - |
| mean_acc 0.2266 |
| 2025-05-15 14:21:31,100 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_4.pth was removed |
| 2025-05-15 14:21:32,707 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. |
| 2025-05-15 14:21:32,708 - pyskl - INFO - Best top1_acc is 0.2282 at 5 epoch. |
| 2025-05-15 14:21:32,711 - pyskl - INFO - Epoch(val) [5][413] top1_acc: 0.2282, top5_acc: 0.6098, mean_class_accuracy: 0.2266 |
| 2025-05-15 14:22:36,072 - pyskl - INFO - Epoch [6][100/1027] lr: 2.493e-02, eta: 16:17:26, time: 0.634, data_time: 0.258, memory: 7959, top1_acc: 0.1812, top5_acc: 0.4944, loss_cls: 9.1401, loss: 9.1401 |
| 2025-05-15 14:23:14,013 - pyskl - INFO - Epoch [6][200/1027] lr: 2.493e-02, eta: 16:16:06, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.1931, top5_acc: 0.5094, loss_cls: 9.0189, loss: 9.0189 |
| 2025-05-15 14:23:51,795 - pyskl - INFO - Epoch [6][300/1027] lr: 2.492e-02, eta: 16:14:43, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.2019, top5_acc: 0.5225, loss_cls: 8.9501, loss: 8.9501 |
| 2025-05-15 14:24:29,175 - pyskl - INFO - Epoch [6][400/1027] lr: 2.492e-02, eta: 16:13:10, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.1719, top5_acc: 0.4950, loss_cls: 9.0827, loss: 9.0827 |
| 2025-05-15 14:25:06,391 - pyskl - INFO - Epoch [6][500/1027] lr: 2.492e-02, eta: 16:11:36, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.1919, top5_acc: 0.5212, loss_cls: 9.0433, loss: 9.0433 |
| 2025-05-15 14:25:43,603 - pyskl - INFO - Epoch [6][600/1027] lr: 2.491e-02, eta: 16:10:03, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.1844, top5_acc: 0.5337, loss_cls: 8.9265, loss: 8.9265 |
| 2025-05-15 14:26:20,784 - pyskl - INFO - Epoch [6][700/1027] lr: 2.491e-02, eta: 16:08:31, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.2062, top5_acc: 0.5288, loss_cls: 8.9985, loss: 8.9985 |
| 2025-05-15 14:26:57,905 - pyskl - INFO - Epoch [6][800/1027] lr: 2.491e-02, eta: 16:07:00, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.2156, top5_acc: 0.5550, loss_cls: 8.8089, loss: 8.8089 |
| 2025-05-15 14:27:35,138 - pyskl - INFO - Epoch [6][900/1027] lr: 2.491e-02, eta: 16:05:33, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.2025, top5_acc: 0.5337, loss_cls: 8.9403, loss: 8.9403 |
| 2025-05-15 14:28:11,992 - pyskl - INFO - Epoch [6][1000/1027] lr: 2.490e-02, eta: 16:03:59, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.2056, top5_acc: 0.5400, loss_cls: 8.9547, loss: 8.9547 |
| 2025-05-15 14:28:22,835 - pyskl - INFO - Saving checkpoint at 6 epochs |
| 2025-05-15 14:29:00,363 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:29:00,436 - pyskl - INFO - |
| top1_acc 0.2816 |
| top5_acc 0.6724 |
| 2025-05-15 14:29:00,436 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:29:00,444 - pyskl - INFO - |
| mean_acc 0.2784 |
| 2025-05-15 14:29:00,500 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_5.pth was removed |
| 2025-05-15 14:29:02,110 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. |
| 2025-05-15 14:29:02,111 - pyskl - INFO - Best top1_acc is 0.2816 at 6 epoch. |
| 2025-05-15 14:29:02,114 - pyskl - INFO - Epoch(val) [6][413] top1_acc: 0.2816, top5_acc: 0.6724, mean_class_accuracy: 0.2784 |
| 2025-05-15 14:30:05,299 - pyskl - INFO - Epoch [7][100/1027] lr: 2.490e-02, eta: 16:08:28, time: 0.632, data_time: 0.254, memory: 7959, top1_acc: 0.2131, top5_acc: 0.5506, loss_cls: 8.8217, loss: 8.8217 |
| 2025-05-15 14:30:43,043 - pyskl - INFO - Epoch [7][200/1027] lr: 2.489e-02, eta: 16:07:12, time: 0.377, data_time: 0.001, memory: 7959, top1_acc: 0.2162, top5_acc: 0.5550, loss_cls: 8.8424, loss: 8.8424 |
| 2025-05-15 14:31:20,758 - pyskl - INFO - Epoch [7][300/1027] lr: 2.489e-02, eta: 16:05:57, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.2238, top5_acc: 0.5700, loss_cls: 8.7015, loss: 8.7015 |
| 2025-05-15 14:31:58,054 - pyskl - INFO - Epoch [7][400/1027] lr: 2.489e-02, eta: 16:04:33, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.2213, top5_acc: 0.5650, loss_cls: 8.7241, loss: 8.7241 |
| 2025-05-15 14:32:35,423 - pyskl - INFO - Epoch [7][500/1027] lr: 2.488e-02, eta: 16:03:13, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.2281, top5_acc: 0.5800, loss_cls: 8.7443, loss: 8.7443 |
| 2025-05-15 14:33:12,595 - pyskl - INFO - Epoch [7][600/1027] lr: 2.488e-02, eta: 16:01:49, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.2288, top5_acc: 0.5800, loss_cls: 8.6354, loss: 8.6354 |
| 2025-05-15 14:33:49,734 - pyskl - INFO - Epoch [7][700/1027] lr: 2.488e-02, eta: 16:00:26, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.2481, top5_acc: 0.5850, loss_cls: 8.5910, loss: 8.5910 |
| 2025-05-15 14:34:26,986 - pyskl - INFO - Epoch [7][800/1027] lr: 2.487e-02, eta: 15:59:07, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.2494, top5_acc: 0.5975, loss_cls: 8.5666, loss: 8.5666 |
| 2025-05-15 14:35:04,146 - pyskl - INFO - Epoch [7][900/1027] lr: 2.487e-02, eta: 15:57:47, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.2325, top5_acc: 0.5831, loss_cls: 8.6352, loss: 8.6352 |
| 2025-05-15 14:35:41,947 - pyskl - INFO - Epoch [7][1000/1027] lr: 2.487e-02, eta: 15:56:41, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.2619, top5_acc: 0.6019, loss_cls: 8.5894, loss: 8.5894 |
| 2025-05-15 14:35:52,863 - pyskl - INFO - Saving checkpoint at 7 epochs |
| 2025-05-15 14:36:30,239 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:36:30,313 - pyskl - INFO - |
| top1_acc 0.2606 |
| top5_acc 0.6360 |
| 2025-05-15 14:36:30,313 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:36:30,321 - pyskl - INFO - |
| mean_acc 0.2550 |
| 2025-05-15 14:36:30,323 - pyskl - INFO - Epoch(val) [7][413] top1_acc: 0.2606, top5_acc: 0.6360, mean_class_accuracy: 0.2550 |
| 2025-05-15 14:37:33,508 - pyskl - INFO - Epoch [8][100/1027] lr: 2.486e-02, eta: 16:00:24, time: 0.632, data_time: 0.256, memory: 7959, top1_acc: 0.2575, top5_acc: 0.6006, loss_cls: 8.6053, loss: 8.6053 |
| 2025-05-15 14:38:10,609 - pyskl - INFO - Epoch [8][200/1027] lr: 2.486e-02, eta: 15:59:02, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.2694, top5_acc: 0.6056, loss_cls: 8.4846, loss: 8.4846 |
| 2025-05-15 14:38:48,414 - pyskl - INFO - Epoch [8][300/1027] lr: 2.485e-02, eta: 15:57:55, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.2750, top5_acc: 0.6044, loss_cls: 8.4429, loss: 8.4429 |
| 2025-05-15 14:39:26,138 - pyskl - INFO - Epoch [8][400/1027] lr: 2.485e-02, eta: 15:56:47, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.2694, top5_acc: 0.5894, loss_cls: 8.4895, loss: 8.4895 |
| 2025-05-15 14:40:03,338 - pyskl - INFO - Epoch [8][500/1027] lr: 2.485e-02, eta: 15:55:30, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.2631, top5_acc: 0.6169, loss_cls: 8.4439, loss: 8.4439 |
| 2025-05-15 14:40:40,603 - pyskl - INFO - Epoch [8][600/1027] lr: 2.484e-02, eta: 15:54:15, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.2844, top5_acc: 0.6425, loss_cls: 8.3368, loss: 8.3368 |
| 2025-05-15 14:41:17,865 - pyskl - INFO - Epoch [8][700/1027] lr: 2.484e-02, eta: 15:53:01, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.2756, top5_acc: 0.6069, loss_cls: 8.4187, loss: 8.4187 |
| 2025-05-15 14:41:55,083 - pyskl - INFO - Epoch [8][800/1027] lr: 2.483e-02, eta: 15:51:47, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.2706, top5_acc: 0.6150, loss_cls: 8.4261, loss: 8.4261 |
| 2025-05-15 14:42:32,499 - pyskl - INFO - Epoch [8][900/1027] lr: 2.483e-02, eta: 15:50:37, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.2569, top5_acc: 0.6162, loss_cls: 8.4384, loss: 8.4384 |
| 2025-05-15 14:43:10,234 - pyskl - INFO - Epoch [8][1000/1027] lr: 2.483e-02, eta: 15:49:34, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.2888, top5_acc: 0.6338, loss_cls: 8.3532, loss: 8.3532 |
| 2025-05-15 14:43:21,107 - pyskl - INFO - Saving checkpoint at 8 epochs |
| 2025-05-15 14:43:58,559 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:43:58,635 - pyskl - INFO - |
| top1_acc 0.3344 |
| top5_acc 0.7209 |
| 2025-05-15 14:43:58,635 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:43:58,643 - pyskl - INFO - |
| mean_acc 0.3282 |
| 2025-05-15 14:43:58,700 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_6.pth was removed |
| 2025-05-15 14:44:00,300 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. |
| 2025-05-15 14:44:00,301 - pyskl - INFO - Best top1_acc is 0.3344 at 8 epoch. |
| 2025-05-15 14:44:00,306 - pyskl - INFO - Epoch(val) [8][413] top1_acc: 0.3344, top5_acc: 0.7209, mean_class_accuracy: 0.3282 |
| 2025-05-15 14:45:03,440 - pyskl - INFO - Epoch [9][100/1027] lr: 2.482e-02, eta: 15:52:42, time: 0.631, data_time: 0.255, memory: 7959, top1_acc: 0.3081, top5_acc: 0.6481, loss_cls: 8.1916, loss: 8.1916 |
| 2025-05-15 14:45:40,903 - pyskl - INFO - Epoch [9][200/1027] lr: 2.482e-02, eta: 15:51:32, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.2787, top5_acc: 0.6175, loss_cls: 8.3606, loss: 8.3606 |
| 2025-05-15 14:46:18,563 - pyskl - INFO - Epoch [9][300/1027] lr: 2.481e-02, eta: 15:50:26, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3081, top5_acc: 0.6275, loss_cls: 8.3496, loss: 8.3496 |
| 2025-05-15 14:46:55,777 - pyskl - INFO - Epoch [9][400/1027] lr: 2.481e-02, eta: 15:49:14, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.2913, top5_acc: 0.6406, loss_cls: 8.2831, loss: 8.2831 |
| 2025-05-15 14:47:32,495 - pyskl - INFO - Epoch [9][500/1027] lr: 2.480e-02, eta: 15:47:54, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.3013, top5_acc: 0.6425, loss_cls: 8.1942, loss: 8.1942 |
| 2025-05-15 14:48:09,260 - pyskl - INFO - Epoch [9][600/1027] lr: 2.480e-02, eta: 15:46:36, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.3025, top5_acc: 0.6300, loss_cls: 8.2358, loss: 8.2358 |
| 2025-05-15 14:48:45,972 - pyskl - INFO - Epoch [9][700/1027] lr: 2.479e-02, eta: 15:45:18, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.2888, top5_acc: 0.6506, loss_cls: 8.2243, loss: 8.2243 |
| 2025-05-15 14:49:22,927 - pyskl - INFO - Epoch [9][800/1027] lr: 2.479e-02, eta: 15:44:04, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.2831, top5_acc: 0.6388, loss_cls: 8.2707, loss: 8.2707 |
| 2025-05-15 14:50:00,339 - pyskl - INFO - Epoch [9][900/1027] lr: 2.478e-02, eta: 15:42:59, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3056, top5_acc: 0.6538, loss_cls: 8.1925, loss: 8.1925 |
| 2025-05-15 14:50:37,905 - pyskl - INFO - Epoch [9][1000/1027] lr: 2.478e-02, eta: 15:41:57, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3194, top5_acc: 0.6719, loss_cls: 7.9859, loss: 7.9859 |
| 2025-05-15 14:50:48,837 - pyskl - INFO - Saving checkpoint at 9 epochs |
| 2025-05-15 14:51:26,601 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:51:26,675 - pyskl - INFO - |
| top1_acc 0.3431 |
| top5_acc 0.7119 |
| 2025-05-15 14:51:26,675 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:51:26,683 - pyskl - INFO - |
| mean_acc 0.3430 |
| 2025-05-15 14:51:26,741 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_8.pth was removed |
| 2025-05-15 14:51:28,360 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. |
| 2025-05-15 14:51:28,361 - pyskl - INFO - Best top1_acc is 0.3431 at 9 epoch. |
| 2025-05-15 14:51:28,364 - pyskl - INFO - Epoch(val) [9][413] top1_acc: 0.3431, top5_acc: 0.7119, mean_class_accuracy: 0.3430 |
| 2025-05-15 14:52:31,739 - pyskl - INFO - Epoch [10][100/1027] lr: 2.477e-02, eta: 15:44:41, time: 0.634, data_time: 0.258, memory: 7959, top1_acc: 0.3044, top5_acc: 0.6675, loss_cls: 8.0077, loss: 8.0077 |
| 2025-05-15 14:53:09,123 - pyskl - INFO - Epoch [10][200/1027] lr: 2.477e-02, eta: 15:43:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3063, top5_acc: 0.6581, loss_cls: 8.1108, loss: 8.1108 |
| 2025-05-15 14:53:46,794 - pyskl - INFO - Epoch [10][300/1027] lr: 2.476e-02, eta: 15:42:33, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3294, top5_acc: 0.6706, loss_cls: 8.0279, loss: 8.0279 |
| 2025-05-15 14:54:24,340 - pyskl - INFO - Epoch [10][400/1027] lr: 2.476e-02, eta: 15:41:30, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3219, top5_acc: 0.6544, loss_cls: 8.1308, loss: 8.1308 |
| 2025-05-15 14:55:01,647 - pyskl - INFO - Epoch [10][500/1027] lr: 2.475e-02, eta: 15:40:24, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.2944, top5_acc: 0.6412, loss_cls: 8.2994, loss: 8.2994 |
| 2025-05-15 14:55:39,045 - pyskl - INFO - Epoch [10][600/1027] lr: 2.475e-02, eta: 15:39:20, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3113, top5_acc: 0.6462, loss_cls: 8.2108, loss: 8.2108 |
| 2025-05-15 14:56:16,485 - pyskl - INFO - Epoch [10][700/1027] lr: 2.474e-02, eta: 15:38:17, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3187, top5_acc: 0.6656, loss_cls: 8.1146, loss: 8.1146 |
| 2025-05-15 14:56:53,837 - pyskl - INFO - Epoch [10][800/1027] lr: 2.474e-02, eta: 15:37:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3425, top5_acc: 0.6681, loss_cls: 7.9573, loss: 7.9573 |
| 2025-05-15 14:57:31,266 - pyskl - INFO - Epoch [10][900/1027] lr: 2.473e-02, eta: 15:36:12, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3281, top5_acc: 0.6625, loss_cls: 8.0694, loss: 8.0694 |
| 2025-05-15 14:58:08,944 - pyskl - INFO - Epoch [10][1000/1027] lr: 2.473e-02, eta: 15:35:14, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3387, top5_acc: 0.6737, loss_cls: 7.9219, loss: 7.9219 |
| 2025-05-15 14:58:19,861 - pyskl - INFO - Saving checkpoint at 10 epochs |
| 2025-05-15 14:58:57,731 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 14:58:57,803 - pyskl - INFO - |
| top1_acc 0.2159 |
| top5_acc 0.5501 |
| 2025-05-15 14:58:57,804 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 14:58:57,811 - pyskl - INFO - |
| mean_acc 0.2271 |
| 2025-05-15 14:58:57,812 - pyskl - INFO - Epoch(val) [10][413] top1_acc: 0.2159, top5_acc: 0.5501, mean_class_accuracy: 0.2271 |
| 2025-05-15 15:00:00,486 - pyskl - INFO - Epoch [11][100/1027] lr: 2.472e-02, eta: 15:37:26, time: 0.627, data_time: 0.251, memory: 7959, top1_acc: 0.3306, top5_acc: 0.6731, loss_cls: 8.0318, loss: 8.0318 |
| 2025-05-15 15:00:37,811 - pyskl - INFO - Epoch [11][200/1027] lr: 2.472e-02, eta: 15:36:21, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3450, top5_acc: 0.6769, loss_cls: 7.9440, loss: 7.9440 |
| 2025-05-15 15:01:15,370 - pyskl - INFO - Epoch [11][300/1027] lr: 2.471e-02, eta: 15:35:21, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3381, top5_acc: 0.6744, loss_cls: 7.9400, loss: 7.9400 |
| 2025-05-15 15:01:53,027 - pyskl - INFO - Epoch [11][400/1027] lr: 2.471e-02, eta: 15:34:22, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3362, top5_acc: 0.6731, loss_cls: 7.9652, loss: 7.9652 |
| 2025-05-15 15:02:30,464 - pyskl - INFO - Epoch [11][500/1027] lr: 2.470e-02, eta: 15:33:21, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3425, top5_acc: 0.6806, loss_cls: 7.9563, loss: 7.9563 |
| 2025-05-15 15:03:07,885 - pyskl - INFO - Epoch [11][600/1027] lr: 2.469e-02, eta: 15:32:20, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3381, top5_acc: 0.6906, loss_cls: 7.9390, loss: 7.9390 |
| 2025-05-15 15:03:45,125 - pyskl - INFO - Epoch [11][700/1027] lr: 2.469e-02, eta: 15:31:17, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.3300, top5_acc: 0.6531, loss_cls: 8.0706, loss: 8.0706 |
| 2025-05-15 15:04:22,358 - pyskl - INFO - Epoch [11][800/1027] lr: 2.468e-02, eta: 15:30:15, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.3425, top5_acc: 0.6856, loss_cls: 7.8876, loss: 7.8876 |
| 2025-05-15 15:04:59,631 - pyskl - INFO - Epoch [11][900/1027] lr: 2.468e-02, eta: 15:29:13, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3488, top5_acc: 0.6906, loss_cls: 7.8465, loss: 7.8465 |
| 2025-05-15 15:05:37,245 - pyskl - INFO - Epoch [11][1000/1027] lr: 2.467e-02, eta: 15:28:16, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3500, top5_acc: 0.6681, loss_cls: 7.8140, loss: 7.8140 |
| 2025-05-15 15:05:48,427 - pyskl - INFO - Saving checkpoint at 11 epochs |
| 2025-05-15 15:06:26,278 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:06:26,350 - pyskl - INFO - |
| top1_acc 0.4323 |
| top5_acc 0.7786 |
| 2025-05-15 15:06:26,350 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:06:26,358 - pyskl - INFO - |
| mean_acc 0.4250 |
| 2025-05-15 15:06:26,414 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_9.pth was removed |
| 2025-05-15 15:06:28,111 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. |
| 2025-05-15 15:06:28,112 - pyskl - INFO - Best top1_acc is 0.4323 at 11 epoch. |
| 2025-05-15 15:06:28,116 - pyskl - INFO - Epoch(val) [11][413] top1_acc: 0.4323, top5_acc: 0.7786, mean_class_accuracy: 0.4250 |
| 2025-05-15 15:07:31,064 - pyskl - INFO - Epoch [12][100/1027] lr: 2.466e-02, eta: 15:30:14, time: 0.629, data_time: 0.255, memory: 7959, top1_acc: 0.3412, top5_acc: 0.6806, loss_cls: 7.9293, loss: 7.9293 |
| 2025-05-15 15:08:08,541 - pyskl - INFO - Epoch [12][200/1027] lr: 2.466e-02, eta: 15:29:15, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3787, top5_acc: 0.6931, loss_cls: 7.8501, loss: 7.8501 |
| 2025-05-15 15:08:46,274 - pyskl - INFO - Epoch [12][300/1027] lr: 2.465e-02, eta: 15:28:19, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3600, top5_acc: 0.7031, loss_cls: 7.7469, loss: 7.7469 |
| 2025-05-15 15:09:24,021 - pyskl - INFO - Epoch [12][400/1027] lr: 2.465e-02, eta: 15:27:23, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3819, top5_acc: 0.7106, loss_cls: 7.6553, loss: 7.6553 |
| 2025-05-15 15:10:01,603 - pyskl - INFO - Epoch [12][500/1027] lr: 2.464e-02, eta: 15:26:26, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3481, top5_acc: 0.6956, loss_cls: 7.7680, loss: 7.7680 |
| 2025-05-15 15:10:39,016 - pyskl - INFO - Epoch [12][600/1027] lr: 2.463e-02, eta: 15:25:27, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3319, top5_acc: 0.6663, loss_cls: 7.8278, loss: 7.8278 |
| 2025-05-15 15:11:16,278 - pyskl - INFO - Epoch [12][700/1027] lr: 2.463e-02, eta: 15:24:26, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3525, top5_acc: 0.6863, loss_cls: 7.8703, loss: 7.8703 |
| 2025-05-15 15:11:53,475 - pyskl - INFO - Epoch [12][800/1027] lr: 2.462e-02, eta: 15:23:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.3669, top5_acc: 0.7063, loss_cls: 7.7865, loss: 7.7865 |
| 2025-05-15 15:12:30,711 - pyskl - INFO - Epoch [12][900/1027] lr: 2.462e-02, eta: 15:22:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.3456, top5_acc: 0.6913, loss_cls: 7.8968, loss: 7.8968 |
| 2025-05-15 15:13:07,773 - pyskl - INFO - Epoch [12][1000/1027] lr: 2.461e-02, eta: 15:21:24, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.3931, top5_acc: 0.7188, loss_cls: 7.6643, loss: 7.6643 |
| 2025-05-15 15:13:18,679 - pyskl - INFO - Saving checkpoint at 12 epochs |
| 2025-05-15 15:13:56,322 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:13:56,395 - pyskl - INFO - |
| top1_acc 0.4461 |
| top5_acc 0.7941 |
| 2025-05-15 15:13:56,395 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:13:56,403 - pyskl - INFO - |
| mean_acc 0.4414 |
| 2025-05-15 15:13:56,459 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_11.pth was removed |
| 2025-05-15 15:13:58,066 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. |
| 2025-05-15 15:13:58,068 - pyskl - INFO - Best top1_acc is 0.4461 at 12 epoch. |
| 2025-05-15 15:13:58,071 - pyskl - INFO - Epoch(val) [12][413] top1_acc: 0.4461, top5_acc: 0.7941, mean_class_accuracy: 0.4414 |
| 2025-05-15 15:15:00,981 - pyskl - INFO - Epoch [13][100/1027] lr: 2.460e-02, eta: 15:23:07, time: 0.629, data_time: 0.252, memory: 7959, top1_acc: 0.3919, top5_acc: 0.7119, loss_cls: 7.5801, loss: 7.5801 |
| 2025-05-15 15:15:38,479 - pyskl - INFO - Epoch [13][200/1027] lr: 2.459e-02, eta: 15:22:10, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3862, top5_acc: 0.7000, loss_cls: 7.7068, loss: 7.7068 |
| 2025-05-15 15:16:16,044 - pyskl - INFO - Epoch [13][300/1027] lr: 2.459e-02, eta: 15:21:14, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3731, top5_acc: 0.6781, loss_cls: 7.7930, loss: 7.7930 |
| 2025-05-15 15:16:53,632 - pyskl - INFO - Epoch [13][400/1027] lr: 2.458e-02, eta: 15:20:18, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3750, top5_acc: 0.6975, loss_cls: 7.7239, loss: 7.7239 |
| 2025-05-15 15:17:31,113 - pyskl - INFO - Epoch [13][500/1027] lr: 2.458e-02, eta: 15:19:21, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3606, top5_acc: 0.7106, loss_cls: 7.7314, loss: 7.7314 |
| 2025-05-15 15:18:08,360 - pyskl - INFO - Epoch [13][600/1027] lr: 2.457e-02, eta: 15:18:22, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.3837, top5_acc: 0.6950, loss_cls: 7.7336, loss: 7.7336 |
| 2025-05-15 15:18:45,553 - pyskl - INFO - Epoch [13][700/1027] lr: 2.456e-02, eta: 15:17:23, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.3894, top5_acc: 0.7188, loss_cls: 7.5759, loss: 7.5759 |
| 2025-05-15 15:19:22,763 - pyskl - INFO - Epoch [13][800/1027] lr: 2.456e-02, eta: 15:16:25, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.3756, top5_acc: 0.6887, loss_cls: 7.6730, loss: 7.6730 |
| 2025-05-15 15:19:59,972 - pyskl - INFO - Epoch [13][900/1027] lr: 2.455e-02, eta: 15:15:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.3631, top5_acc: 0.6987, loss_cls: 7.7089, loss: 7.7089 |
| 2025-05-15 15:20:38,125 - pyskl - INFO - Epoch [13][1000/1027] lr: 2.454e-02, eta: 15:14:38, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.3700, top5_acc: 0.7000, loss_cls: 7.6816, loss: 7.6816 |
| 2025-05-15 15:20:49,069 - pyskl - INFO - Saving checkpoint at 13 epochs |
| 2025-05-15 15:21:27,166 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:21:27,241 - pyskl - INFO - |
| top1_acc 0.4586 |
| top5_acc 0.8151 |
| 2025-05-15 15:21:27,242 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:21:27,250 - pyskl - INFO - |
| mean_acc 0.4519 |
| 2025-05-15 15:21:27,306 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_12.pth was removed |
| 2025-05-15 15:21:28,946 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. |
| 2025-05-15 15:21:28,948 - pyskl - INFO - Best top1_acc is 0.4586 at 13 epoch. |
| 2025-05-15 15:21:28,951 - pyskl - INFO - Epoch(val) [13][413] top1_acc: 0.4586, top5_acc: 0.8151, mean_class_accuracy: 0.4519 |
| 2025-05-15 15:22:32,500 - pyskl - INFO - Epoch [14][100/1027] lr: 2.453e-02, eta: 15:16:15, time: 0.635, data_time: 0.260, memory: 7959, top1_acc: 0.4044, top5_acc: 0.7063, loss_cls: 7.5934, loss: 7.5934 |
| 2025-05-15 15:23:09,936 - pyskl - INFO - Epoch [14][200/1027] lr: 2.453e-02, eta: 15:15:19, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3931, top5_acc: 0.7225, loss_cls: 7.6073, loss: 7.6073 |
| 2025-05-15 15:23:47,614 - pyskl - INFO - Epoch [14][300/1027] lr: 2.452e-02, eta: 15:14:25, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3862, top5_acc: 0.7150, loss_cls: 7.5679, loss: 7.5679 |
| 2025-05-15 15:24:25,598 - pyskl - INFO - Epoch [14][400/1027] lr: 2.451e-02, eta: 15:13:35, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.3981, top5_acc: 0.7194, loss_cls: 7.5959, loss: 7.5959 |
| 2025-05-15 15:25:02,967 - pyskl - INFO - Epoch [14][500/1027] lr: 2.450e-02, eta: 15:12:39, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3944, top5_acc: 0.7131, loss_cls: 7.5381, loss: 7.5381 |
| 2025-05-15 15:25:40,276 - pyskl - INFO - Epoch [14][600/1027] lr: 2.450e-02, eta: 15:11:42, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3744, top5_acc: 0.7044, loss_cls: 7.7014, loss: 7.7014 |
| 2025-05-15 15:26:17,463 - pyskl - INFO - Epoch [14][700/1027] lr: 2.449e-02, eta: 15:10:45, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.3806, top5_acc: 0.7081, loss_cls: 7.6986, loss: 7.6986 |
| 2025-05-15 15:26:54,679 - pyskl - INFO - Epoch [14][800/1027] lr: 2.448e-02, eta: 15:09:48, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4031, top5_acc: 0.7250, loss_cls: 7.4609, loss: 7.4609 |
| 2025-05-15 15:27:32,088 - pyskl - INFO - Epoch [14][900/1027] lr: 2.448e-02, eta: 15:08:53, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3837, top5_acc: 0.7050, loss_cls: 7.6588, loss: 7.6588 |
| 2025-05-15 15:28:09,695 - pyskl - INFO - Epoch [14][1000/1027] lr: 2.447e-02, eta: 15:08:00, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.3950, top5_acc: 0.7031, loss_cls: 7.6770, loss: 7.6770 |
| 2025-05-15 15:28:20,651 - pyskl - INFO - Saving checkpoint at 14 epochs |
| 2025-05-15 15:28:58,260 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:28:58,331 - pyskl - INFO - |
| top1_acc 0.4169 |
| top5_acc 0.7595 |
| 2025-05-15 15:28:58,332 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:28:58,339 - pyskl - INFO - |
| mean_acc 0.4128 |
| 2025-05-15 15:28:58,341 - pyskl - INFO - Epoch(val) [14][413] top1_acc: 0.4169, top5_acc: 0.7595, mean_class_accuracy: 0.4128 |
| 2025-05-15 15:30:02,225 - pyskl - INFO - Epoch [15][100/1027] lr: 2.446e-02, eta: 15:09:29, time: 0.639, data_time: 0.261, memory: 7959, top1_acc: 0.4156, top5_acc: 0.7469, loss_cls: 7.3854, loss: 7.3854 |
| 2025-05-15 15:30:39,534 - pyskl - INFO - Epoch [15][200/1027] lr: 2.445e-02, eta: 15:08:33, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4238, top5_acc: 0.7394, loss_cls: 7.4485, loss: 7.4485 |
| 2025-05-15 15:31:17,064 - pyskl - INFO - Epoch [15][300/1027] lr: 2.444e-02, eta: 15:07:39, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3825, top5_acc: 0.7256, loss_cls: 7.6350, loss: 7.6350 |
| 2025-05-15 15:31:54,746 - pyskl - INFO - Epoch [15][400/1027] lr: 2.444e-02, eta: 15:06:47, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.3787, top5_acc: 0.7000, loss_cls: 7.6242, loss: 7.6242 |
| 2025-05-15 15:32:31,962 - pyskl - INFO - Epoch [15][500/1027] lr: 2.443e-02, eta: 15:05:50, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4050, top5_acc: 0.7087, loss_cls: 7.5053, loss: 7.5053 |
| 2025-05-15 15:33:09,403 - pyskl - INFO - Epoch [15][600/1027] lr: 2.442e-02, eta: 15:04:56, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.3975, top5_acc: 0.7231, loss_cls: 7.5390, loss: 7.5390 |
| 2025-05-15 15:33:46,940 - pyskl - INFO - Epoch [15][700/1027] lr: 2.441e-02, eta: 15:04:03, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.3744, top5_acc: 0.7050, loss_cls: 7.5451, loss: 7.5451 |
| 2025-05-15 15:34:24,190 - pyskl - INFO - Epoch [15][800/1027] lr: 2.441e-02, eta: 15:03:08, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4025, top5_acc: 0.7044, loss_cls: 7.5391, loss: 7.5391 |
| 2025-05-15 15:35:00,938 - pyskl - INFO - Epoch [15][900/1027] lr: 2.440e-02, eta: 15:02:08, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.3881, top5_acc: 0.7019, loss_cls: 7.5804, loss: 7.5804 |
| 2025-05-15 15:35:38,255 - pyskl - INFO - Epoch [15][1000/1027] lr: 2.439e-02, eta: 15:01:14, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4288, top5_acc: 0.7319, loss_cls: 7.4128, loss: 7.4128 |
| 2025-05-15 15:35:49,218 - pyskl - INFO - Saving checkpoint at 15 epochs |
| 2025-05-15 15:36:27,006 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:36:27,080 - pyskl - INFO - |
| top1_acc 0.4792 |
| top5_acc 0.8321 |
| 2025-05-15 15:36:27,081 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:36:27,088 - pyskl - INFO - |
| mean_acc 0.4723 |
| 2025-05-15 15:36:27,146 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_13.pth was removed |
| 2025-05-15 15:36:28,761 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. |
| 2025-05-15 15:36:28,762 - pyskl - INFO - Best top1_acc is 0.4792 at 15 epoch. |
| 2025-05-15 15:36:28,765 - pyskl - INFO - Epoch(val) [15][413] top1_acc: 0.4792, top5_acc: 0.8321, mean_class_accuracy: 0.4723 |
| 2025-05-15 15:37:31,684 - pyskl - INFO - Epoch [16][100/1027] lr: 2.438e-02, eta: 15:02:24, time: 0.629, data_time: 0.255, memory: 7959, top1_acc: 0.4156, top5_acc: 0.7156, loss_cls: 7.4918, loss: 7.4918 |
| 2025-05-15 15:38:09,053 - pyskl - INFO - Epoch [16][200/1027] lr: 2.437e-02, eta: 15:01:30, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4244, top5_acc: 0.7275, loss_cls: 7.3556, loss: 7.3556 |
| 2025-05-15 15:38:46,655 - pyskl - INFO - Epoch [16][300/1027] lr: 2.436e-02, eta: 15:00:38, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4294, top5_acc: 0.7244, loss_cls: 7.3771, loss: 7.3771 |
| 2025-05-15 15:39:24,349 - pyskl - INFO - Epoch [16][400/1027] lr: 2.436e-02, eta: 14:59:47, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7137, loss_cls: 7.4623, loss: 7.4623 |
| 2025-05-15 15:40:01,536 - pyskl - INFO - Epoch [16][500/1027] lr: 2.435e-02, eta: 14:58:52, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4094, top5_acc: 0.7194, loss_cls: 7.4709, loss: 7.4709 |
| 2025-05-15 15:40:38,725 - pyskl - INFO - Epoch [16][600/1027] lr: 2.434e-02, eta: 14:57:57, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4200, top5_acc: 0.7206, loss_cls: 7.4525, loss: 7.4525 |
| 2025-05-15 15:41:15,951 - pyskl - INFO - Epoch [16][700/1027] lr: 2.433e-02, eta: 14:57:02, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.3812, top5_acc: 0.7100, loss_cls: 7.5986, loss: 7.5986 |
| 2025-05-15 15:41:53,231 - pyskl - INFO - Epoch [16][800/1027] lr: 2.432e-02, eta: 14:56:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.3956, top5_acc: 0.7231, loss_cls: 7.4643, loss: 7.4643 |
| 2025-05-15 15:42:30,416 - pyskl - INFO - Epoch [16][900/1027] lr: 2.432e-02, eta: 14:55:14, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4181, top5_acc: 0.7288, loss_cls: 7.4222, loss: 7.4222 |
| 2025-05-15 15:43:07,861 - pyskl - INFO - Epoch [16][1000/1027] lr: 2.431e-02, eta: 14:54:22, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4106, top5_acc: 0.7113, loss_cls: 7.4388, loss: 7.4388 |
| 2025-05-15 15:43:18,831 - pyskl - INFO - Saving checkpoint at 16 epochs |
| 2025-05-15 15:43:56,997 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:43:57,071 - pyskl - INFO - |
| top1_acc 0.4692 |
| top5_acc 0.8175 |
| 2025-05-15 15:43:57,072 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:43:57,079 - pyskl - INFO - |
| mean_acc 0.4635 |
| 2025-05-15 15:43:57,081 - pyskl - INFO - Epoch(val) [16][413] top1_acc: 0.4692, top5_acc: 0.8175, mean_class_accuracy: 0.4635 |
| 2025-05-15 15:45:00,180 - pyskl - INFO - Epoch [17][100/1027] lr: 2.430e-02, eta: 14:55:25, time: 0.631, data_time: 0.256, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7275, loss_cls: 7.3881, loss: 7.3881 |
| 2025-05-15 15:45:37,556 - pyskl - INFO - Epoch [17][200/1027] lr: 2.429e-02, eta: 14:54:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4100, top5_acc: 0.7412, loss_cls: 7.3926, loss: 7.3926 |
| 2025-05-15 15:46:15,395 - pyskl - INFO - Epoch [17][300/1027] lr: 2.428e-02, eta: 14:53:43, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4094, top5_acc: 0.7350, loss_cls: 7.3842, loss: 7.3842 |
| 2025-05-15 15:46:52,986 - pyskl - INFO - Epoch [17][400/1027] lr: 2.427e-02, eta: 14:52:52, time: 0.376, data_time: 0.001, memory: 7959, top1_acc: 0.4250, top5_acc: 0.7419, loss_cls: 7.3566, loss: 7.3566 |
| 2025-05-15 15:47:30,223 - pyskl - INFO - Epoch [17][500/1027] lr: 2.426e-02, eta: 14:51:59, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4056, top5_acc: 0.7244, loss_cls: 7.4492, loss: 7.4492 |
| 2025-05-15 15:48:07,623 - pyskl - INFO - Epoch [17][600/1027] lr: 2.425e-02, eta: 14:51:07, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4269, top5_acc: 0.7281, loss_cls: 7.2902, loss: 7.2902 |
| 2025-05-15 15:48:44,933 - pyskl - INFO - Epoch [17][700/1027] lr: 2.424e-02, eta: 14:50:14, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4200, top5_acc: 0.7356, loss_cls: 7.3000, loss: 7.3000 |
| 2025-05-15 15:49:22,263 - pyskl - INFO - Epoch [17][800/1027] lr: 2.424e-02, eta: 14:49:21, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4019, top5_acc: 0.7194, loss_cls: 7.4181, loss: 7.4181 |
| 2025-05-15 15:49:59,602 - pyskl - INFO - Epoch [17][900/1027] lr: 2.423e-02, eta: 14:48:29, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4025, top5_acc: 0.7219, loss_cls: 7.5007, loss: 7.5007 |
| 2025-05-15 15:50:37,136 - pyskl - INFO - Epoch [17][1000/1027] lr: 2.422e-02, eta: 14:47:39, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4037, top5_acc: 0.7462, loss_cls: 7.4673, loss: 7.4673 |
| 2025-05-15 15:50:48,172 - pyskl - INFO - Saving checkpoint at 17 epochs |
| 2025-05-15 15:51:26,183 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:51:26,259 - pyskl - INFO - |
| top1_acc 0.4854 |
| top5_acc 0.8232 |
| 2025-05-15 15:51:26,259 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:51:26,268 - pyskl - INFO - |
| mean_acc 0.4792 |
| 2025-05-15 15:51:26,328 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_15.pth was removed |
| 2025-05-15 15:51:28,072 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. |
| 2025-05-15 15:51:28,073 - pyskl - INFO - Best top1_acc is 0.4854 at 17 epoch. |
| 2025-05-15 15:51:28,078 - pyskl - INFO - Epoch(val) [17][413] top1_acc: 0.4854, top5_acc: 0.8232, mean_class_accuracy: 0.4792 |
| 2025-05-15 15:52:32,009 - pyskl - INFO - Epoch [18][100/1027] lr: 2.421e-02, eta: 14:48:41, time: 0.639, data_time: 0.262, memory: 7959, top1_acc: 0.4437, top5_acc: 0.7444, loss_cls: 7.2777, loss: 7.2777 |
| 2025-05-15 15:53:09,411 - pyskl - INFO - Epoch [18][200/1027] lr: 2.420e-02, eta: 14:47:49, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4263, top5_acc: 0.7469, loss_cls: 7.2573, loss: 7.2573 |
| 2025-05-15 15:53:47,219 - pyskl - INFO - Epoch [18][300/1027] lr: 2.419e-02, eta: 14:47:01, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4344, top5_acc: 0.7550, loss_cls: 7.2814, loss: 7.2814 |
| 2025-05-15 15:54:24,559 - pyskl - INFO - Epoch [18][400/1027] lr: 2.418e-02, eta: 14:46:09, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4125, top5_acc: 0.7469, loss_cls: 7.1886, loss: 7.1886 |
| 2025-05-15 15:55:01,814 - pyskl - INFO - Epoch [18][500/1027] lr: 2.417e-02, eta: 14:45:16, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4213, top5_acc: 0.7231, loss_cls: 7.4183, loss: 7.4183 |
| 2025-05-15 15:55:39,018 - pyskl - INFO - Epoch [18][600/1027] lr: 2.416e-02, eta: 14:44:23, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4231, top5_acc: 0.7425, loss_cls: 7.3357, loss: 7.3357 |
| 2025-05-15 15:56:16,278 - pyskl - INFO - Epoch [18][700/1027] lr: 2.415e-02, eta: 14:43:31, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4125, top5_acc: 0.7381, loss_cls: 7.3468, loss: 7.3468 |
| 2025-05-15 15:56:53,406 - pyskl - INFO - Epoch [18][800/1027] lr: 2.414e-02, eta: 14:42:38, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.4319, top5_acc: 0.7412, loss_cls: 7.3676, loss: 7.3676 |
| 2025-05-15 15:57:30,607 - pyskl - INFO - Epoch [18][900/1027] lr: 2.413e-02, eta: 14:41:46, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4338, top5_acc: 0.7262, loss_cls: 7.3840, loss: 7.3840 |
| 2025-05-15 15:58:08,045 - pyskl - INFO - Epoch [18][1000/1027] lr: 2.412e-02, eta: 14:40:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4125, top5_acc: 0.7306, loss_cls: 7.3438, loss: 7.3438 |
| 2025-05-15 15:58:19,063 - pyskl - INFO - Saving checkpoint at 18 epochs |
| 2025-05-15 15:58:56,972 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 15:58:57,049 - pyskl - INFO - |
| top1_acc 0.4760 |
| top5_acc 0.8141 |
| 2025-05-15 15:58:57,049 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 15:58:57,058 - pyskl - INFO - |
| mean_acc 0.4715 |
| 2025-05-15 15:58:57,060 - pyskl - INFO - Epoch(val) [18][413] top1_acc: 0.4760, top5_acc: 0.8141, mean_class_accuracy: 0.4715 |
| 2025-05-15 16:00:00,444 - pyskl - INFO - Epoch [19][100/1027] lr: 2.411e-02, eta: 14:41:47, time: 0.634, data_time: 0.260, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7475, loss_cls: 7.1132, loss: 7.1132 |
| 2025-05-15 16:00:37,834 - pyskl - INFO - Epoch [19][200/1027] lr: 2.410e-02, eta: 14:40:56, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4506, top5_acc: 0.7519, loss_cls: 7.2105, loss: 7.2105 |
| 2025-05-15 16:01:15,438 - pyskl - INFO - Epoch [19][300/1027] lr: 2.409e-02, eta: 14:40:06, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4525, top5_acc: 0.7306, loss_cls: 7.2356, loss: 7.2356 |
| 2025-05-15 16:01:53,099 - pyskl - INFO - Epoch [19][400/1027] lr: 2.408e-02, eta: 14:39:18, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4412, top5_acc: 0.7606, loss_cls: 7.1446, loss: 7.1446 |
| 2025-05-15 16:02:30,388 - pyskl - INFO - Epoch [19][500/1027] lr: 2.407e-02, eta: 14:38:26, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4450, top5_acc: 0.7606, loss_cls: 7.2138, loss: 7.2138 |
| 2025-05-15 16:03:07,613 - pyskl - INFO - Epoch [19][600/1027] lr: 2.407e-02, eta: 14:37:34, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4581, top5_acc: 0.7412, loss_cls: 7.2769, loss: 7.2769 |
| 2025-05-15 16:03:45,031 - pyskl - INFO - Epoch [19][700/1027] lr: 2.406e-02, eta: 14:36:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4350, top5_acc: 0.7381, loss_cls: 7.2610, loss: 7.2610 |
| 2025-05-15 16:04:22,381 - pyskl - INFO - Epoch [19][800/1027] lr: 2.405e-02, eta: 14:35:54, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4188, top5_acc: 0.7362, loss_cls: 7.4121, loss: 7.4121 |
| 2025-05-15 16:04:59,721 - pyskl - INFO - Epoch [19][900/1027] lr: 2.404e-02, eta: 14:35:03, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7594, loss_cls: 7.1634, loss: 7.1634 |
| 2025-05-15 16:05:37,138 - pyskl - INFO - Epoch [19][1000/1027] lr: 2.403e-02, eta: 14:34:13, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4175, top5_acc: 0.7338, loss_cls: 7.3499, loss: 7.3499 |
| 2025-05-15 16:05:48,142 - pyskl - INFO - Saving checkpoint at 19 epochs |
| 2025-05-15 16:06:26,053 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:06:26,128 - pyskl - INFO - |
| top1_acc 0.5199 |
| top5_acc 0.8477 |
| 2025-05-15 16:06:26,128 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:06:26,138 - pyskl - INFO - |
| mean_acc 0.5167 |
| 2025-05-15 16:06:26,218 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_17.pth was removed |
| 2025-05-15 16:06:28,069 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. |
| 2025-05-15 16:06:28,071 - pyskl - INFO - Best top1_acc is 0.5199 at 19 epoch. |
| 2025-05-15 16:06:28,074 - pyskl - INFO - Epoch(val) [19][413] top1_acc: 0.5199, top5_acc: 0.8477, mean_class_accuracy: 0.5167 |
| 2025-05-15 16:07:31,115 - pyskl - INFO - Epoch [20][100/1027] lr: 2.401e-02, eta: 14:34:56, time: 0.630, data_time: 0.256, memory: 7959, top1_acc: 0.4537, top5_acc: 0.7562, loss_cls: 7.1995, loss: 7.1995 |
| 2025-05-15 16:08:08,303 - pyskl - INFO - Epoch [20][200/1027] lr: 2.400e-02, eta: 14:34:05, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4619, top5_acc: 0.7444, loss_cls: 7.1540, loss: 7.1540 |
| 2025-05-15 16:08:45,934 - pyskl - INFO - Epoch [20][300/1027] lr: 2.399e-02, eta: 14:33:16, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4369, top5_acc: 0.7512, loss_cls: 7.2638, loss: 7.2638 |
| 2025-05-15 16:09:23,627 - pyskl - INFO - Epoch [20][400/1027] lr: 2.398e-02, eta: 14:32:28, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4544, top5_acc: 0.7581, loss_cls: 7.2081, loss: 7.2081 |
| 2025-05-15 16:10:00,805 - pyskl - INFO - Epoch [20][500/1027] lr: 2.397e-02, eta: 14:31:37, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4531, top5_acc: 0.7588, loss_cls: 7.0784, loss: 7.0784 |
| 2025-05-15 16:10:37,997 - pyskl - INFO - Epoch [20][600/1027] lr: 2.396e-02, eta: 14:30:45, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4313, top5_acc: 0.7619, loss_cls: 7.2501, loss: 7.2501 |
| 2025-05-15 16:11:15,261 - pyskl - INFO - Epoch [20][700/1027] lr: 2.395e-02, eta: 14:29:55, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4281, top5_acc: 0.7400, loss_cls: 7.3191, loss: 7.3191 |
| 2025-05-15 16:11:52,681 - pyskl - INFO - Epoch [20][800/1027] lr: 2.394e-02, eta: 14:29:05, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4281, top5_acc: 0.7431, loss_cls: 7.2082, loss: 7.2082 |
| 2025-05-15 16:12:30,111 - pyskl - INFO - Epoch [20][900/1027] lr: 2.393e-02, eta: 14:28:16, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4450, top5_acc: 0.7481, loss_cls: 7.2974, loss: 7.2974 |
| 2025-05-15 16:13:07,544 - pyskl - INFO - Epoch [20][1000/1027] lr: 2.392e-02, eta: 14:27:27, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7538, loss_cls: 7.1636, loss: 7.1636 |
| 2025-05-15 16:13:18,506 - pyskl - INFO - Saving checkpoint at 20 epochs |
| 2025-05-15 16:13:56,039 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:13:56,118 - pyskl - INFO - |
| top1_acc 0.5330 |
| top5_acc 0.8463 |
| 2025-05-15 16:13:56,118 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:13:56,128 - pyskl - INFO - |
| mean_acc 0.5318 |
| 2025-05-15 16:13:56,187 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_19.pth was removed |
| 2025-05-15 16:13:57,830 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. |
| 2025-05-15 16:13:57,832 - pyskl - INFO - Best top1_acc is 0.5330 at 20 epoch. |
| 2025-05-15 16:13:57,835 - pyskl - INFO - Epoch(val) [20][413] top1_acc: 0.5330, top5_acc: 0.8463, mean_class_accuracy: 0.5318 |
| 2025-05-15 16:15:01,007 - pyskl - INFO - Epoch [21][100/1027] lr: 2.391e-02, eta: 14:28:06, time: 0.632, data_time: 0.256, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7788, loss_cls: 7.0669, loss: 7.0669 |
| 2025-05-15 16:15:38,438 - pyskl - INFO - Epoch [21][200/1027] lr: 2.390e-02, eta: 14:27:17, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4637, top5_acc: 0.7700, loss_cls: 7.1012, loss: 7.1012 |
| 2025-05-15 16:16:16,012 - pyskl - INFO - Epoch [21][300/1027] lr: 2.389e-02, eta: 14:26:28, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4512, top5_acc: 0.7481, loss_cls: 7.2652, loss: 7.2652 |
| 2025-05-15 16:16:53,849 - pyskl - INFO - Epoch [21][400/1027] lr: 2.388e-02, eta: 14:25:42, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4594, top5_acc: 0.7562, loss_cls: 7.1085, loss: 7.1085 |
| 2025-05-15 16:17:31,261 - pyskl - INFO - Epoch [21][500/1027] lr: 2.387e-02, eta: 14:24:52, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4437, top5_acc: 0.7456, loss_cls: 7.2473, loss: 7.2473 |
| 2025-05-15 16:18:08,660 - pyskl - INFO - Epoch [21][600/1027] lr: 2.386e-02, eta: 14:24:03, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4412, top5_acc: 0.7644, loss_cls: 7.1155, loss: 7.1155 |
| 2025-05-15 16:18:46,098 - pyskl - INFO - Epoch [21][700/1027] lr: 2.385e-02, eta: 14:23:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7469, loss_cls: 7.1151, loss: 7.1151 |
| 2025-05-15 16:19:23,316 - pyskl - INFO - Epoch [21][800/1027] lr: 2.383e-02, eta: 14:22:24, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4469, top5_acc: 0.7425, loss_cls: 7.3163, loss: 7.3163 |
| 2025-05-15 16:20:00,674 - pyskl - INFO - Epoch [21][900/1027] lr: 2.382e-02, eta: 14:21:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7606, loss_cls: 7.0899, loss: 7.0899 |
| 2025-05-15 16:20:38,049 - pyskl - INFO - Epoch [21][1000/1027] lr: 2.381e-02, eta: 14:20:46, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4550, top5_acc: 0.7581, loss_cls: 7.2495, loss: 7.2495 |
| 2025-05-15 16:20:48,945 - pyskl - INFO - Saving checkpoint at 21 epochs |
| 2025-05-15 16:21:26,799 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:21:26,882 - pyskl - INFO - |
| top1_acc 0.5254 |
| top5_acc 0.8471 |
| 2025-05-15 16:21:26,882 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:21:26,891 - pyskl - INFO - |
| mean_acc 0.5186 |
| 2025-05-15 16:21:26,893 - pyskl - INFO - Epoch(val) [21][413] top1_acc: 0.5254, top5_acc: 0.8471, mean_class_accuracy: 0.5186 |
| 2025-05-15 16:22:30,496 - pyskl - INFO - Epoch [22][100/1027] lr: 2.380e-02, eta: 14:21:23, time: 0.636, data_time: 0.261, memory: 7959, top1_acc: 0.4894, top5_acc: 0.7625, loss_cls: 6.9199, loss: 6.9199 |
| 2025-05-15 16:23:07,806 - pyskl - INFO - Epoch [22][200/1027] lr: 2.379e-02, eta: 14:20:33, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4544, top5_acc: 0.7531, loss_cls: 7.1026, loss: 7.1026 |
| 2025-05-15 16:23:45,367 - pyskl - INFO - Epoch [22][300/1027] lr: 2.378e-02, eta: 14:19:46, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4738, top5_acc: 0.7625, loss_cls: 7.1371, loss: 7.1371 |
| 2025-05-15 16:24:23,134 - pyskl - INFO - Epoch [22][400/1027] lr: 2.377e-02, eta: 14:18:59, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4487, top5_acc: 0.7575, loss_cls: 7.1532, loss: 7.1532 |
| 2025-05-15 16:25:00,688 - pyskl - INFO - Epoch [22][500/1027] lr: 2.376e-02, eta: 14:18:11, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4475, top5_acc: 0.7556, loss_cls: 7.1093, loss: 7.1093 |
| 2025-05-15 16:25:38,197 - pyskl - INFO - Epoch [22][600/1027] lr: 2.374e-02, eta: 14:17:23, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4569, top5_acc: 0.7688, loss_cls: 7.0930, loss: 7.0930 |
| 2025-05-15 16:26:15,581 - pyskl - INFO - Epoch [22][700/1027] lr: 2.373e-02, eta: 14:16:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4256, top5_acc: 0.7625, loss_cls: 7.1335, loss: 7.1335 |
| 2025-05-15 16:26:52,903 - pyskl - INFO - Epoch [22][800/1027] lr: 2.372e-02, eta: 14:15:46, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4688, top5_acc: 0.7625, loss_cls: 7.1329, loss: 7.1329 |
| 2025-05-15 16:27:30,268 - pyskl - INFO - Epoch [22][900/1027] lr: 2.371e-02, eta: 14:14:57, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4587, top5_acc: 0.7656, loss_cls: 7.1009, loss: 7.1009 |
| 2025-05-15 16:28:07,893 - pyskl - INFO - Epoch [22][1000/1027] lr: 2.370e-02, eta: 14:14:10, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4612, top5_acc: 0.7837, loss_cls: 6.9637, loss: 6.9637 |
| 2025-05-15 16:28:18,847 - pyskl - INFO - Saving checkpoint at 22 epochs |
| 2025-05-15 16:28:56,632 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:28:56,706 - pyskl - INFO - |
| top1_acc 0.5023 |
| top5_acc 0.8429 |
| 2025-05-15 16:28:56,707 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:28:56,715 - pyskl - INFO - |
| mean_acc 0.4965 |
| 2025-05-15 16:28:56,718 - pyskl - INFO - Epoch(val) [22][413] top1_acc: 0.5023, top5_acc: 0.8429, mean_class_accuracy: 0.4965 |
| 2025-05-15 16:29:59,677 - pyskl - INFO - Epoch [23][100/1027] lr: 2.369e-02, eta: 14:14:39, time: 0.630, data_time: 0.255, memory: 7959, top1_acc: 0.4575, top5_acc: 0.7606, loss_cls: 7.1225, loss: 7.1225 |
| 2025-05-15 16:30:36,844 - pyskl - INFO - Epoch [23][200/1027] lr: 2.367e-02, eta: 14:13:49, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4794, top5_acc: 0.7837, loss_cls: 7.0195, loss: 7.0195 |
| 2025-05-15 16:31:14,208 - pyskl - INFO - Epoch [23][300/1027] lr: 2.366e-02, eta: 14:13:00, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4738, top5_acc: 0.7900, loss_cls: 6.9197, loss: 6.9197 |
| 2025-05-15 16:31:51,862 - pyskl - INFO - Epoch [23][400/1027] lr: 2.365e-02, eta: 14:12:13, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4706, top5_acc: 0.7844, loss_cls: 6.9337, loss: 6.9337 |
| 2025-05-15 16:32:29,091 - pyskl - INFO - Epoch [23][500/1027] lr: 2.364e-02, eta: 14:11:24, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4788, top5_acc: 0.7544, loss_cls: 7.0976, loss: 7.0976 |
| 2025-05-15 16:33:06,366 - pyskl - INFO - Epoch [23][600/1027] lr: 2.363e-02, eta: 14:10:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4788, top5_acc: 0.7569, loss_cls: 7.0840, loss: 7.0840 |
| 2025-05-15 16:33:43,664 - pyskl - INFO - Epoch [23][700/1027] lr: 2.362e-02, eta: 14:09:47, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7550, loss_cls: 7.1135, loss: 7.1135 |
| 2025-05-15 16:34:21,128 - pyskl - INFO - Epoch [23][800/1027] lr: 2.360e-02, eta: 14:08:59, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4525, top5_acc: 0.7569, loss_cls: 7.2032, loss: 7.2032 |
| 2025-05-15 16:34:58,729 - pyskl - INFO - Epoch [23][900/1027] lr: 2.359e-02, eta: 14:08:13, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4450, top5_acc: 0.7550, loss_cls: 7.1549, loss: 7.1549 |
| 2025-05-15 16:35:36,242 - pyskl - INFO - Epoch [23][1000/1027] lr: 2.358e-02, eta: 14:07:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4537, top5_acc: 0.7681, loss_cls: 7.0603, loss: 7.0603 |
| 2025-05-15 16:35:47,234 - pyskl - INFO - Saving checkpoint at 23 epochs |
| 2025-05-15 16:36:24,817 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:36:24,891 - pyskl - INFO - |
| top1_acc 0.5195 |
| top5_acc 0.8468 |
| 2025-05-15 16:36:24,891 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:36:24,898 - pyskl - INFO - |
| mean_acc 0.5137 |
| 2025-05-15 16:36:24,900 - pyskl - INFO - Epoch(val) [23][413] top1_acc: 0.5195, top5_acc: 0.8468, mean_class_accuracy: 0.5137 |
| 2025-05-15 16:37:29,192 - pyskl - INFO - Epoch [24][100/1027] lr: 2.357e-02, eta: 14:07:57, time: 0.643, data_time: 0.265, memory: 7959, top1_acc: 0.4881, top5_acc: 0.7775, loss_cls: 6.9439, loss: 6.9439 |
| 2025-05-15 16:38:06,453 - pyskl - INFO - Epoch [24][200/1027] lr: 2.355e-02, eta: 14:07:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4794, top5_acc: 0.7788, loss_cls: 7.0519, loss: 7.0519 |
| 2025-05-15 16:38:43,981 - pyskl - INFO - Epoch [24][300/1027] lr: 2.354e-02, eta: 14:06:21, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4913, top5_acc: 0.7950, loss_cls: 6.8728, loss: 6.8728 |
| 2025-05-15 16:39:21,395 - pyskl - INFO - Epoch [24][400/1027] lr: 2.353e-02, eta: 14:05:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4619, top5_acc: 0.7575, loss_cls: 7.0757, loss: 7.0757 |
| 2025-05-15 16:39:58,101 - pyskl - INFO - Epoch [24][500/1027] lr: 2.352e-02, eta: 14:04:42, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.4637, top5_acc: 0.7712, loss_cls: 7.1410, loss: 7.1410 |
| 2025-05-15 16:40:34,778 - pyskl - INFO - Epoch [24][600/1027] lr: 2.351e-02, eta: 14:03:51, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.4750, top5_acc: 0.7669, loss_cls: 6.9922, loss: 6.9922 |
| 2025-05-15 16:41:11,476 - pyskl - INFO - Epoch [24][700/1027] lr: 2.349e-02, eta: 14:02:59, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.4775, top5_acc: 0.7594, loss_cls: 7.0150, loss: 7.0150 |
| 2025-05-15 16:41:48,172 - pyskl - INFO - Epoch [24][800/1027] lr: 2.348e-02, eta: 14:02:08, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.4662, top5_acc: 0.7800, loss_cls: 6.9229, loss: 6.9229 |
| 2025-05-15 16:42:24,882 - pyskl - INFO - Epoch [24][900/1027] lr: 2.347e-02, eta: 14:01:17, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.4525, top5_acc: 0.7562, loss_cls: 7.1279, loss: 7.1279 |
| 2025-05-15 16:43:01,889 - pyskl - INFO - Epoch [24][1000/1027] lr: 2.346e-02, eta: 14:00:28, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7644, loss_cls: 7.1444, loss: 7.1444 |
| 2025-05-15 16:43:13,075 - pyskl - INFO - Saving checkpoint at 24 epochs |
| 2025-05-15 16:43:50,930 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:43:51,003 - pyskl - INFO - |
| top1_acc 0.5263 |
| top5_acc 0.8518 |
| 2025-05-15 16:43:51,003 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:43:51,010 - pyskl - INFO - |
| mean_acc 0.5217 |
| 2025-05-15 16:43:51,012 - pyskl - INFO - Epoch(val) [24][413] top1_acc: 0.5263, top5_acc: 0.8518, mean_class_accuracy: 0.5217 |
| 2025-05-15 16:44:54,617 - pyskl - INFO - Epoch [25][100/1027] lr: 2.344e-02, eta: 14:00:52, time: 0.636, data_time: 0.259, memory: 7959, top1_acc: 0.4788, top5_acc: 0.7887, loss_cls: 6.8834, loss: 6.8834 |
| 2025-05-15 16:45:31,862 - pyskl - INFO - Epoch [25][200/1027] lr: 2.343e-02, eta: 14:00:04, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4706, top5_acc: 0.7900, loss_cls: 7.0289, loss: 7.0289 |
| 2025-05-15 16:46:09,229 - pyskl - INFO - Epoch [25][300/1027] lr: 2.342e-02, eta: 13:59:16, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7794, loss_cls: 6.8853, loss: 6.8853 |
| 2025-05-15 16:46:46,991 - pyskl - INFO - Epoch [25][400/1027] lr: 2.340e-02, eta: 13:58:31, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.4669, top5_acc: 0.7662, loss_cls: 7.0972, loss: 7.0972 |
| 2025-05-15 16:47:24,416 - pyskl - INFO - Epoch [25][500/1027] lr: 2.339e-02, eta: 13:57:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4644, top5_acc: 0.7700, loss_cls: 7.0301, loss: 7.0301 |
| 2025-05-15 16:48:01,646 - pyskl - INFO - Epoch [25][600/1027] lr: 2.338e-02, eta: 13:56:56, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4600, top5_acc: 0.7625, loss_cls: 6.9969, loss: 6.9969 |
| 2025-05-15 16:48:39,017 - pyskl - INFO - Epoch [25][700/1027] lr: 2.337e-02, eta: 13:56:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4800, top5_acc: 0.7656, loss_cls: 6.9752, loss: 6.9752 |
| 2025-05-15 16:49:16,544 - pyskl - INFO - Epoch [25][800/1027] lr: 2.335e-02, eta: 13:55:22, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4925, top5_acc: 0.7750, loss_cls: 6.8891, loss: 6.8891 |
| 2025-05-15 16:49:53,953 - pyskl - INFO - Epoch [25][900/1027] lr: 2.334e-02, eta: 13:54:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7694, loss_cls: 6.9996, loss: 6.9996 |
| 2025-05-15 16:50:31,464 - pyskl - INFO - Epoch [25][1000/1027] lr: 2.333e-02, eta: 13:53:49, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4487, top5_acc: 0.7662, loss_cls: 7.0816, loss: 7.0816 |
| 2025-05-15 16:50:42,285 - pyskl - INFO - Saving checkpoint at 25 epochs |
| 2025-05-15 16:51:19,910 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:51:19,983 - pyskl - INFO - |
| top1_acc 0.5555 |
| top5_acc 0.8594 |
| 2025-05-15 16:51:19,983 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:51:19,990 - pyskl - INFO - |
| mean_acc 0.5498 |
| 2025-05-15 16:51:20,049 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_20.pth was removed |
| 2025-05-15 16:51:21,701 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. |
| 2025-05-15 16:51:21,702 - pyskl - INFO - Best top1_acc is 0.5555 at 25 epoch. |
| 2025-05-15 16:51:21,705 - pyskl - INFO - Epoch(val) [25][413] top1_acc: 0.5555, top5_acc: 0.8594, mean_class_accuracy: 0.5498 |
| 2025-05-15 16:52:25,543 - pyskl - INFO - Epoch [26][100/1027] lr: 2.331e-02, eta: 13:54:11, time: 0.638, data_time: 0.265, memory: 7959, top1_acc: 0.5019, top5_acc: 0.7944, loss_cls: 6.8226, loss: 6.8226 |
| 2025-05-15 16:53:02,826 - pyskl - INFO - Epoch [26][200/1027] lr: 2.330e-02, eta: 13:53:23, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7887, loss_cls: 6.8039, loss: 6.8039 |
| 2025-05-15 16:53:40,474 - pyskl - INFO - Epoch [26][300/1027] lr: 2.329e-02, eta: 13:52:38, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4806, top5_acc: 0.7781, loss_cls: 6.9172, loss: 6.9172 |
| 2025-05-15 16:54:18,097 - pyskl - INFO - Epoch [26][400/1027] lr: 2.327e-02, eta: 13:51:52, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4819, top5_acc: 0.7594, loss_cls: 6.9631, loss: 6.9631 |
| 2025-05-15 16:54:55,306 - pyskl - INFO - Epoch [26][500/1027] lr: 2.326e-02, eta: 13:51:04, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4562, top5_acc: 0.7762, loss_cls: 7.0198, loss: 7.0198 |
| 2025-05-15 16:55:32,524 - pyskl - INFO - Epoch [26][600/1027] lr: 2.325e-02, eta: 13:50:17, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4925, top5_acc: 0.7612, loss_cls: 6.9306, loss: 6.9306 |
| 2025-05-15 16:56:09,727 - pyskl - INFO - Epoch [26][700/1027] lr: 2.324e-02, eta: 13:49:29, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7875, loss_cls: 6.8509, loss: 6.8509 |
| 2025-05-15 16:56:46,958 - pyskl - INFO - Epoch [26][800/1027] lr: 2.322e-02, eta: 13:48:41, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4756, top5_acc: 0.7712, loss_cls: 6.9230, loss: 6.9230 |
| 2025-05-15 16:57:24,300 - pyskl - INFO - Epoch [26][900/1027] lr: 2.321e-02, eta: 13:47:55, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4675, top5_acc: 0.7681, loss_cls: 7.1726, loss: 7.1726 |
| 2025-05-15 16:58:01,724 - pyskl - INFO - Epoch [26][1000/1027] lr: 2.320e-02, eta: 13:47:08, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7762, loss_cls: 6.9631, loss: 6.9631 |
| 2025-05-15 16:58:12,579 - pyskl - INFO - Saving checkpoint at 26 epochs |
| 2025-05-15 16:58:50,118 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 16:58:50,190 - pyskl - INFO - |
| top1_acc 0.5237 |
| top5_acc 0.8412 |
| 2025-05-15 16:58:50,191 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 16:58:50,198 - pyskl - INFO - |
| mean_acc 0.5168 |
| 2025-05-15 16:58:50,199 - pyskl - INFO - Epoch(val) [26][413] top1_acc: 0.5237, top5_acc: 0.8412, mean_class_accuracy: 0.5168 |
| 2025-05-15 16:59:54,124 - pyskl - INFO - Epoch [27][100/1027] lr: 2.318e-02, eta: 13:47:27, time: 0.639, data_time: 0.265, memory: 7959, top1_acc: 0.4931, top5_acc: 0.7956, loss_cls: 6.8203, loss: 6.8203 |
| 2025-05-15 17:00:31,372 - pyskl - INFO - Epoch [27][200/1027] lr: 2.317e-02, eta: 13:46:40, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4731, top5_acc: 0.7775, loss_cls: 6.8733, loss: 6.8733 |
| 2025-05-15 17:01:08,961 - pyskl - INFO - Epoch [27][300/1027] lr: 2.315e-02, eta: 13:45:54, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4844, top5_acc: 0.7894, loss_cls: 6.7508, loss: 6.7508 |
| 2025-05-15 17:01:46,311 - pyskl - INFO - Epoch [27][400/1027] lr: 2.314e-02, eta: 13:45:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4913, top5_acc: 0.7819, loss_cls: 6.8937, loss: 6.8937 |
| 2025-05-15 17:02:23,712 - pyskl - INFO - Epoch [27][500/1027] lr: 2.313e-02, eta: 13:44:21, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4813, top5_acc: 0.7806, loss_cls: 6.8906, loss: 6.8906 |
| 2025-05-15 17:03:01,303 - pyskl - INFO - Epoch [27][600/1027] lr: 2.311e-02, eta: 13:43:36, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4844, top5_acc: 0.7919, loss_cls: 6.8798, loss: 6.8798 |
| 2025-05-15 17:03:38,592 - pyskl - INFO - Epoch [27][700/1027] lr: 2.310e-02, eta: 13:42:49, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4600, top5_acc: 0.7794, loss_cls: 7.0053, loss: 7.0053 |
| 2025-05-15 17:04:15,850 - pyskl - INFO - Epoch [27][800/1027] lr: 2.309e-02, eta: 13:42:02, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7781, loss_cls: 7.0406, loss: 7.0406 |
| 2025-05-15 17:04:53,183 - pyskl - INFO - Epoch [27][900/1027] lr: 2.307e-02, eta: 13:41:15, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4719, top5_acc: 0.7600, loss_cls: 7.0184, loss: 7.0184 |
| 2025-05-15 17:05:30,672 - pyskl - INFO - Epoch [27][1000/1027] lr: 2.306e-02, eta: 13:40:30, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4763, top5_acc: 0.7681, loss_cls: 6.9317, loss: 6.9317 |
| 2025-05-15 17:05:41,699 - pyskl - INFO - Saving checkpoint at 27 epochs |
| 2025-05-15 17:06:19,285 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:06:19,359 - pyskl - INFO - |
| top1_acc 0.5681 |
| top5_acc 0.8747 |
| 2025-05-15 17:06:19,359 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:06:19,367 - pyskl - INFO - |
| mean_acc 0.5623 |
| 2025-05-15 17:06:19,433 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_25.pth was removed |
| 2025-05-15 17:06:21,141 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_27.pth. |
| 2025-05-15 17:06:21,142 - pyskl - INFO - Best top1_acc is 0.5681 at 27 epoch. |
| 2025-05-15 17:06:21,145 - pyskl - INFO - Epoch(val) [27][413] top1_acc: 0.5681, top5_acc: 0.8747, mean_class_accuracy: 0.5623 |
| 2025-05-15 17:07:24,988 - pyskl - INFO - Epoch [28][100/1027] lr: 2.304e-02, eta: 13:40:45, time: 0.638, data_time: 0.264, memory: 7959, top1_acc: 0.5138, top5_acc: 0.7913, loss_cls: 6.7194, loss: 6.7194 |
| 2025-05-15 17:08:02,267 - pyskl - INFO - Epoch [28][200/1027] lr: 2.303e-02, eta: 13:39:58, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4869, top5_acc: 0.7875, loss_cls: 6.9034, loss: 6.9034 |
| 2025-05-15 17:08:39,988 - pyskl - INFO - Epoch [28][300/1027] lr: 2.301e-02, eta: 13:39:14, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.4744, top5_acc: 0.7744, loss_cls: 6.9506, loss: 6.9506 |
| 2025-05-15 17:09:17,665 - pyskl - INFO - Epoch [28][400/1027] lr: 2.300e-02, eta: 13:38:29, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5019, top5_acc: 0.7963, loss_cls: 6.7651, loss: 6.7651 |
| 2025-05-15 17:09:55,012 - pyskl - INFO - Epoch [28][500/1027] lr: 2.299e-02, eta: 13:37:42, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4612, top5_acc: 0.7569, loss_cls: 7.0277, loss: 7.0277 |
| 2025-05-15 17:10:32,338 - pyskl - INFO - Epoch [28][600/1027] lr: 2.297e-02, eta: 13:36:56, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4931, top5_acc: 0.7931, loss_cls: 6.8097, loss: 6.8097 |
| 2025-05-15 17:11:09,644 - pyskl - INFO - Epoch [28][700/1027] lr: 2.296e-02, eta: 13:36:09, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7994, loss_cls: 6.8511, loss: 6.8511 |
| 2025-05-15 17:11:46,856 - pyskl - INFO - Epoch [28][800/1027] lr: 2.294e-02, eta: 13:35:23, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4825, top5_acc: 0.7750, loss_cls: 6.9050, loss: 6.9050 |
| 2025-05-15 17:12:24,086 - pyskl - INFO - Epoch [28][900/1027] lr: 2.293e-02, eta: 13:34:36, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4844, top5_acc: 0.7844, loss_cls: 6.8354, loss: 6.8354 |
| 2025-05-15 17:13:01,385 - pyskl - INFO - Epoch [28][1000/1027] lr: 2.292e-02, eta: 13:33:50, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5138, top5_acc: 0.7875, loss_cls: 6.7606, loss: 6.7606 |
| 2025-05-15 17:13:12,304 - pyskl - INFO - Saving checkpoint at 28 epochs |
| 2025-05-15 17:13:49,966 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:13:50,041 - pyskl - INFO - |
| top1_acc 0.5705 |
| top5_acc 0.8771 |
| 2025-05-15 17:13:50,041 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:13:50,050 - pyskl - INFO - |
| mean_acc 0.5660 |
| 2025-05-15 17:13:50,107 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_27.pth was removed |
| 2025-05-15 17:13:51,914 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_28.pth. |
| 2025-05-15 17:13:51,915 - pyskl - INFO - Best top1_acc is 0.5705 at 28 epoch. |
| 2025-05-15 17:13:51,919 - pyskl - INFO - Epoch(val) [28][413] top1_acc: 0.5705, top5_acc: 0.8771, mean_class_accuracy: 0.5660 |
| 2025-05-15 17:14:55,778 - pyskl - INFO - Epoch [29][100/1027] lr: 2.290e-02, eta: 13:34:03, time: 0.639, data_time: 0.260, memory: 7959, top1_acc: 0.5006, top5_acc: 0.7887, loss_cls: 6.7388, loss: 6.7388 |
| 2025-05-15 17:15:33,235 - pyskl - INFO - Epoch [29][200/1027] lr: 2.288e-02, eta: 13:33:17, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5062, top5_acc: 0.7944, loss_cls: 6.7549, loss: 6.7549 |
| 2025-05-15 17:16:10,848 - pyskl - INFO - Epoch [29][300/1027] lr: 2.287e-02, eta: 13:32:32, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4881, top5_acc: 0.8044, loss_cls: 6.8354, loss: 6.8354 |
| 2025-05-15 17:16:48,495 - pyskl - INFO - Epoch [29][400/1027] lr: 2.285e-02, eta: 13:31:47, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.4894, top5_acc: 0.7794, loss_cls: 6.8534, loss: 6.8534 |
| 2025-05-15 17:17:26,020 - pyskl - INFO - Epoch [29][500/1027] lr: 2.284e-02, eta: 13:31:02, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5006, top5_acc: 0.7850, loss_cls: 6.8065, loss: 6.8065 |
| 2025-05-15 17:18:03,316 - pyskl - INFO - Epoch [29][600/1027] lr: 2.283e-02, eta: 13:30:16, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7906, loss_cls: 6.7718, loss: 6.7718 |
| 2025-05-15 17:18:40,513 - pyskl - INFO - Epoch [29][700/1027] lr: 2.281e-02, eta: 13:29:29, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5100, top5_acc: 0.7900, loss_cls: 6.7859, loss: 6.7859 |
| 2025-05-15 17:19:17,715 - pyskl - INFO - Epoch [29][800/1027] lr: 2.280e-02, eta: 13:28:42, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4844, top5_acc: 0.7831, loss_cls: 6.8944, loss: 6.8944 |
| 2025-05-15 17:19:54,869 - pyskl - INFO - Epoch [29][900/1027] lr: 2.278e-02, eta: 13:27:56, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4925, top5_acc: 0.7812, loss_cls: 6.8836, loss: 6.8836 |
| 2025-05-15 17:20:32,156 - pyskl - INFO - Epoch [29][1000/1027] lr: 2.277e-02, eta: 13:27:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4800, top5_acc: 0.7825, loss_cls: 6.9303, loss: 6.9303 |
| 2025-05-15 17:20:43,096 - pyskl - INFO - Saving checkpoint at 29 epochs |
| 2025-05-15 17:21:21,160 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:21:21,232 - pyskl - INFO - |
| top1_acc 0.5663 |
| top5_acc 0.8723 |
| 2025-05-15 17:21:21,232 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:21:21,240 - pyskl - INFO - |
| mean_acc 0.5656 |
| 2025-05-15 17:21:21,242 - pyskl - INFO - Epoch(val) [29][413] top1_acc: 0.5663, top5_acc: 0.8723, mean_class_accuracy: 0.5656 |
| 2025-05-15 17:22:24,396 - pyskl - INFO - Epoch [30][100/1027] lr: 2.275e-02, eta: 13:27:17, time: 0.631, data_time: 0.258, memory: 7959, top1_acc: 0.5144, top5_acc: 0.8113, loss_cls: 6.5771, loss: 6.5771 |
| 2025-05-15 17:23:01,579 - pyskl - INFO - Epoch [30][200/1027] lr: 2.274e-02, eta: 13:26:31, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5000, top5_acc: 0.7969, loss_cls: 6.7713, loss: 6.7713 |
| 2025-05-15 17:23:39,116 - pyskl - INFO - Epoch [30][300/1027] lr: 2.272e-02, eta: 13:25:46, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4831, top5_acc: 0.7738, loss_cls: 7.0108, loss: 7.0108 |
| 2025-05-15 17:24:16,650 - pyskl - INFO - Epoch [30][400/1027] lr: 2.271e-02, eta: 13:25:00, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.8019, loss_cls: 6.7364, loss: 6.7364 |
| 2025-05-15 17:24:53,892 - pyskl - INFO - Epoch [30][500/1027] lr: 2.269e-02, eta: 13:24:14, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4925, top5_acc: 0.7794, loss_cls: 6.8914, loss: 6.8914 |
| 2025-05-15 17:25:31,082 - pyskl - INFO - Epoch [30][600/1027] lr: 2.268e-02, eta: 13:23:28, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5062, top5_acc: 0.7900, loss_cls: 6.7172, loss: 6.7172 |
| 2025-05-15 17:26:08,252 - pyskl - INFO - Epoch [30][700/1027] lr: 2.266e-02, eta: 13:22:42, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7900, loss_cls: 6.9116, loss: 6.9116 |
| 2025-05-15 17:26:45,413 - pyskl - INFO - Epoch [30][800/1027] lr: 2.265e-02, eta: 13:21:55, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5000, top5_acc: 0.7913, loss_cls: 6.7540, loss: 6.7540 |
| 2025-05-15 17:27:22,611 - pyskl - INFO - Epoch [30][900/1027] lr: 2.263e-02, eta: 13:21:09, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5025, top5_acc: 0.7950, loss_cls: 6.7827, loss: 6.7827 |
| 2025-05-15 17:28:00,154 - pyskl - INFO - Epoch [30][1000/1027] lr: 2.262e-02, eta: 13:20:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.7987, loss_cls: 6.6609, loss: 6.6609 |
| 2025-05-15 17:28:11,058 - pyskl - INFO - Saving checkpoint at 30 epochs |
| 2025-05-15 17:28:48,925 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:28:48,997 - pyskl - INFO - |
| top1_acc 0.5504 |
| top5_acc 0.8589 |
| 2025-05-15 17:28:48,998 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:28:49,006 - pyskl - INFO - |
| mean_acc 0.5462 |
| 2025-05-15 17:28:49,008 - pyskl - INFO - Epoch(val) [30][413] top1_acc: 0.5504, top5_acc: 0.8589, mean_class_accuracy: 0.5462 |
| 2025-05-15 17:29:52,205 - pyskl - INFO - Epoch [31][100/1027] lr: 2.260e-02, eta: 13:20:30, time: 0.632, data_time: 0.258, memory: 7959, top1_acc: 0.5238, top5_acc: 0.8025, loss_cls: 6.6795, loss: 6.6795 |
| 2025-05-15 17:30:29,355 - pyskl - INFO - Epoch [31][200/1027] lr: 2.258e-02, eta: 13:19:43, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5025, top5_acc: 0.7969, loss_cls: 6.7140, loss: 6.7140 |
| 2025-05-15 17:31:07,081 - pyskl - INFO - Epoch [31][300/1027] lr: 2.257e-02, eta: 13:18:59, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5044, top5_acc: 0.7844, loss_cls: 6.7708, loss: 6.7708 |
| 2025-05-15 17:31:44,945 - pyskl - INFO - Epoch [31][400/1027] lr: 2.255e-02, eta: 13:18:16, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.8087, loss_cls: 6.5107, loss: 6.5107 |
| 2025-05-15 17:32:22,221 - pyskl - INFO - Epoch [31][500/1027] lr: 2.254e-02, eta: 13:17:30, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5044, top5_acc: 0.7812, loss_cls: 6.8068, loss: 6.8068 |
| 2025-05-15 17:32:59,583 - pyskl - INFO - Epoch [31][600/1027] lr: 2.252e-02, eta: 13:16:45, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5200, top5_acc: 0.7969, loss_cls: 6.7289, loss: 6.7289 |
| 2025-05-15 17:33:36,880 - pyskl - INFO - Epoch [31][700/1027] lr: 2.251e-02, eta: 13:15:59, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5088, top5_acc: 0.7937, loss_cls: 6.6750, loss: 6.6750 |
| 2025-05-15 17:34:14,182 - pyskl - INFO - Epoch [31][800/1027] lr: 2.249e-02, eta: 13:15:14, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4956, top5_acc: 0.8100, loss_cls: 6.7112, loss: 6.7112 |
| 2025-05-15 17:34:51,559 - pyskl - INFO - Epoch [31][900/1027] lr: 2.248e-02, eta: 13:14:29, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4931, top5_acc: 0.7794, loss_cls: 6.9289, loss: 6.9289 |
| 2025-05-15 17:35:28,981 - pyskl - INFO - Epoch [31][1000/1027] lr: 2.246e-02, eta: 13:13:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4831, top5_acc: 0.7688, loss_cls: 6.8597, loss: 6.8597 |
| 2025-05-15 17:35:40,180 - pyskl - INFO - Saving checkpoint at 31 epochs |
| 2025-05-15 17:36:18,198 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:36:18,271 - pyskl - INFO - |
| top1_acc 0.5471 |
| top5_acc 0.8618 |
| 2025-05-15 17:36:18,271 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:36:18,279 - pyskl - INFO - |
| mean_acc 0.5397 |
| 2025-05-15 17:36:18,281 - pyskl - INFO - Epoch(val) [31][413] top1_acc: 0.5471, top5_acc: 0.8618, mean_class_accuracy: 0.5397 |
| 2025-05-15 17:37:22,289 - pyskl - INFO - Epoch [32][100/1027] lr: 2.244e-02, eta: 13:13:50, time: 0.640, data_time: 0.264, memory: 7959, top1_acc: 0.5300, top5_acc: 0.8056, loss_cls: 6.6033, loss: 6.6033 |
| 2025-05-15 17:37:59,542 - pyskl - INFO - Epoch [32][200/1027] lr: 2.243e-02, eta: 13:13:04, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5069, top5_acc: 0.7906, loss_cls: 6.7930, loss: 6.7930 |
| 2025-05-15 17:38:36,940 - pyskl - INFO - Epoch [32][300/1027] lr: 2.241e-02, eta: 13:12:19, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5012, top5_acc: 0.7856, loss_cls: 6.7381, loss: 6.7381 |
| 2025-05-15 17:39:14,428 - pyskl - INFO - Epoch [32][400/1027] lr: 2.239e-02, eta: 13:11:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.7981, loss_cls: 6.6880, loss: 6.6880 |
| 2025-05-15 17:39:51,854 - pyskl - INFO - Epoch [32][500/1027] lr: 2.238e-02, eta: 13:10:50, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5031, top5_acc: 0.8106, loss_cls: 6.6859, loss: 6.6859 |
| 2025-05-15 17:40:29,294 - pyskl - INFO - Epoch [32][600/1027] lr: 2.236e-02, eta: 13:10:05, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5100, top5_acc: 0.7931, loss_cls: 6.7010, loss: 6.7010 |
| 2025-05-15 17:41:06,673 - pyskl - INFO - Epoch [32][700/1027] lr: 2.235e-02, eta: 13:09:20, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7781, loss_cls: 6.8607, loss: 6.8607 |
| 2025-05-15 17:41:44,106 - pyskl - INFO - Epoch [32][800/1027] lr: 2.233e-02, eta: 13:08:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5125, top5_acc: 0.7987, loss_cls: 6.7370, loss: 6.7370 |
| 2025-05-15 17:42:21,296 - pyskl - INFO - Epoch [32][900/1027] lr: 2.232e-02, eta: 13:07:50, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.4944, top5_acc: 0.8063, loss_cls: 6.6783, loss: 6.6783 |
| 2025-05-15 17:42:58,515 - pyskl - INFO - Epoch [32][1000/1027] lr: 2.230e-02, eta: 13:07:04, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5150, top5_acc: 0.7887, loss_cls: 6.7189, loss: 6.7189 |
| 2025-05-15 17:43:09,316 - pyskl - INFO - Saving checkpoint at 32 epochs |
| 2025-05-15 17:43:47,528 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:43:47,604 - pyskl - INFO - |
| top1_acc 0.6012 |
| top5_acc 0.8903 |
| 2025-05-15 17:43:47,605 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:43:47,613 - pyskl - INFO - |
| mean_acc 0.5963 |
| 2025-05-15 17:43:47,671 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_28.pth was removed |
| 2025-05-15 17:43:49,304 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. |
| 2025-05-15 17:43:49,305 - pyskl - INFO - Best top1_acc is 0.6012 at 32 epoch. |
| 2025-05-15 17:43:49,309 - pyskl - INFO - Epoch(val) [32][413] top1_acc: 0.6012, top5_acc: 0.8903, mean_class_accuracy: 0.5963 |
| 2025-05-15 17:44:52,823 - pyskl - INFO - Epoch [33][100/1027] lr: 2.228e-02, eta: 13:07:06, time: 0.635, data_time: 0.260, memory: 7959, top1_acc: 0.5288, top5_acc: 0.8200, loss_cls: 6.4907, loss: 6.4907 |
| 2025-05-15 17:45:30,101 - pyskl - INFO - Epoch [33][200/1027] lr: 2.226e-02, eta: 13:06:21, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5300, top5_acc: 0.7919, loss_cls: 6.5941, loss: 6.5941 |
| 2025-05-15 17:46:07,482 - pyskl - INFO - Epoch [33][300/1027] lr: 2.225e-02, eta: 13:05:36, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5144, top5_acc: 0.8056, loss_cls: 6.5040, loss: 6.5040 |
| 2025-05-15 17:46:44,968 - pyskl - INFO - Epoch [33][400/1027] lr: 2.223e-02, eta: 13:04:52, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5200, top5_acc: 0.7956, loss_cls: 6.7559, loss: 6.7559 |
| 2025-05-15 17:47:22,321 - pyskl - INFO - Epoch [33][500/1027] lr: 2.222e-02, eta: 13:04:07, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5031, top5_acc: 0.7950, loss_cls: 6.7911, loss: 6.7911 |
| 2025-05-15 17:47:59,693 - pyskl - INFO - Epoch [33][600/1027] lr: 2.220e-02, eta: 13:03:22, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5056, top5_acc: 0.8000, loss_cls: 6.7623, loss: 6.7623 |
| 2025-05-15 17:48:36,984 - pyskl - INFO - Epoch [33][700/1027] lr: 2.218e-02, eta: 13:02:37, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7850, loss_cls: 6.7225, loss: 6.7225 |
| 2025-05-15 17:49:14,416 - pyskl - INFO - Epoch [33][800/1027] lr: 2.217e-02, eta: 13:01:52, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.4838, top5_acc: 0.7906, loss_cls: 6.8208, loss: 6.8208 |
| 2025-05-15 17:49:51,719 - pyskl - INFO - Epoch [33][900/1027] lr: 2.215e-02, eta: 13:01:07, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.4950, top5_acc: 0.8131, loss_cls: 6.6111, loss: 6.6111 |
| 2025-05-15 17:50:28,993 - pyskl - INFO - Epoch [33][1000/1027] lr: 2.214e-02, eta: 13:00:22, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5175, top5_acc: 0.7913, loss_cls: 6.8060, loss: 6.8060 |
| 2025-05-15 17:50:39,953 - pyskl - INFO - Saving checkpoint at 33 epochs |
| 2025-05-15 17:51:17,858 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:51:17,931 - pyskl - INFO - |
| top1_acc 0.6071 |
| top5_acc 0.8962 |
| 2025-05-15 17:51:17,931 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:51:17,939 - pyskl - INFO - |
| mean_acc 0.6021 |
| 2025-05-15 17:51:18,000 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_32.pth was removed |
| 2025-05-15 17:51:19,571 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_33.pth. |
| 2025-05-15 17:51:19,573 - pyskl - INFO - Best top1_acc is 0.6071 at 33 epoch. |
| 2025-05-15 17:51:19,575 - pyskl - INFO - Epoch(val) [33][413] top1_acc: 0.6071, top5_acc: 0.8962, mean_class_accuracy: 0.6021 |
| 2025-05-15 17:52:23,102 - pyskl - INFO - Epoch [34][100/1027] lr: 2.212e-02, eta: 13:00:23, time: 0.635, data_time: 0.261, memory: 7959, top1_acc: 0.5344, top5_acc: 0.8244, loss_cls: 6.5215, loss: 6.5215 |
| 2025-05-15 17:53:00,292 - pyskl - INFO - Epoch [34][200/1027] lr: 2.210e-02, eta: 12:59:37, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5156, top5_acc: 0.8113, loss_cls: 6.5348, loss: 6.5348 |
| 2025-05-15 17:53:38,083 - pyskl - INFO - Epoch [34][300/1027] lr: 2.208e-02, eta: 12:58:54, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5231, top5_acc: 0.8156, loss_cls: 6.5508, loss: 6.5508 |
| 2025-05-15 17:54:15,812 - pyskl - INFO - Epoch [34][400/1027] lr: 2.207e-02, eta: 12:58:11, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5356, top5_acc: 0.8056, loss_cls: 6.5515, loss: 6.5515 |
| 2025-05-15 17:54:53,266 - pyskl - INFO - Epoch [34][500/1027] lr: 2.205e-02, eta: 12:57:26, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7981, loss_cls: 6.7219, loss: 6.7219 |
| 2025-05-15 17:55:30,654 - pyskl - INFO - Epoch [34][600/1027] lr: 2.203e-02, eta: 12:56:42, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5188, top5_acc: 0.8025, loss_cls: 6.6919, loss: 6.6919 |
| 2025-05-15 17:56:08,078 - pyskl - INFO - Epoch [34][700/1027] lr: 2.202e-02, eta: 12:55:57, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5156, top5_acc: 0.8006, loss_cls: 6.6275, loss: 6.6275 |
| 2025-05-15 17:56:45,587 - pyskl - INFO - Epoch [34][800/1027] lr: 2.200e-02, eta: 12:55:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7987, loss_cls: 6.7221, loss: 6.7221 |
| 2025-05-15 17:57:22,927 - pyskl - INFO - Epoch [34][900/1027] lr: 2.198e-02, eta: 12:54:29, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5125, top5_acc: 0.8013, loss_cls: 6.7851, loss: 6.7851 |
| 2025-05-15 17:58:00,172 - pyskl - INFO - Epoch [34][1000/1027] lr: 2.197e-02, eta: 12:53:44, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5075, top5_acc: 0.7812, loss_cls: 6.7459, loss: 6.7459 |
| 2025-05-15 17:58:10,989 - pyskl - INFO - Saving checkpoint at 34 epochs |
| 2025-05-15 17:58:48,610 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 17:58:48,702 - pyskl - INFO - |
| top1_acc 0.5827 |
| top5_acc 0.8794 |
| 2025-05-15 17:58:48,702 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 17:58:48,711 - pyskl - INFO - |
| mean_acc 0.5806 |
| 2025-05-15 17:58:48,713 - pyskl - INFO - Epoch(val) [34][413] top1_acc: 0.5827, top5_acc: 0.8794, mean_class_accuracy: 0.5806 |
| 2025-05-15 17:59:52,358 - pyskl - INFO - Epoch [35][100/1027] lr: 2.195e-02, eta: 12:53:43, time: 0.636, data_time: 0.260, memory: 7959, top1_acc: 0.5244, top5_acc: 0.8044, loss_cls: 6.5921, loss: 6.5921 |
| 2025-05-15 18:00:29,698 - pyskl - INFO - Epoch [35][200/1027] lr: 2.193e-02, eta: 12:52:58, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5394, top5_acc: 0.8219, loss_cls: 6.4235, loss: 6.4235 |
| 2025-05-15 18:01:07,186 - pyskl - INFO - Epoch [35][300/1027] lr: 2.191e-02, eta: 12:52:14, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.8050, loss_cls: 6.6040, loss: 6.6040 |
| 2025-05-15 18:01:44,808 - pyskl - INFO - Epoch [35][400/1027] lr: 2.190e-02, eta: 12:51:30, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5356, top5_acc: 0.8156, loss_cls: 6.5311, loss: 6.5311 |
| 2025-05-15 18:02:21,662 - pyskl - INFO - Epoch [35][500/1027] lr: 2.188e-02, eta: 12:50:44, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.5175, top5_acc: 0.7950, loss_cls: 6.6160, loss: 6.6160 |
| 2025-05-15 18:02:58,342 - pyskl - INFO - Epoch [35][600/1027] lr: 2.186e-02, eta: 12:49:57, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.4900, top5_acc: 0.7919, loss_cls: 6.7701, loss: 6.7701 |
| 2025-05-15 18:03:35,001 - pyskl - INFO - Epoch [35][700/1027] lr: 2.185e-02, eta: 12:49:11, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.5212, top5_acc: 0.7925, loss_cls: 6.6433, loss: 6.6433 |
| 2025-05-15 18:04:11,681 - pyskl - INFO - Epoch [35][800/1027] lr: 2.183e-02, eta: 12:48:24, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.5225, top5_acc: 0.8019, loss_cls: 6.7117, loss: 6.7117 |
| 2025-05-15 18:04:48,329 - pyskl - INFO - Epoch [35][900/1027] lr: 2.181e-02, eta: 12:47:38, time: 0.366, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.7825, loss_cls: 6.6403, loss: 6.6403 |
| 2025-05-15 18:05:25,002 - pyskl - INFO - Epoch [35][1000/1027] lr: 2.179e-02, eta: 12:46:51, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.8131, loss_cls: 6.6575, loss: 6.6575 |
| 2025-05-15 18:05:35,687 - pyskl - INFO - Saving checkpoint at 35 epochs |
| 2025-05-15 18:06:13,869 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:06:13,942 - pyskl - INFO - |
| top1_acc 0.5490 |
| top5_acc 0.8526 |
| 2025-05-15 18:06:13,942 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:06:13,950 - pyskl - INFO - |
| mean_acc 0.5489 |
| 2025-05-15 18:06:13,952 - pyskl - INFO - Epoch(val) [35][413] top1_acc: 0.5490, top5_acc: 0.8526, mean_class_accuracy: 0.5489 |
| 2025-05-15 18:07:18,659 - pyskl - INFO - Epoch [36][100/1027] lr: 2.177e-02, eta: 12:46:52, time: 0.647, data_time: 0.271, memory: 7959, top1_acc: 0.5450, top5_acc: 0.8125, loss_cls: 6.5622, loss: 6.5622 |
| 2025-05-15 18:07:55,928 - pyskl - INFO - Epoch [36][200/1027] lr: 2.176e-02, eta: 12:46:07, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5387, top5_acc: 0.8125, loss_cls: 6.4134, loss: 6.4134 |
| 2025-05-15 18:08:33,451 - pyskl - INFO - Epoch [36][300/1027] lr: 2.174e-02, eta: 12:45:23, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8113, loss_cls: 6.5860, loss: 6.5860 |
| 2025-05-15 18:09:11,165 - pyskl - INFO - Epoch [36][400/1027] lr: 2.172e-02, eta: 12:44:40, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5162, top5_acc: 0.8131, loss_cls: 6.5929, loss: 6.5929 |
| 2025-05-15 18:09:48,799 - pyskl - INFO - Epoch [36][500/1027] lr: 2.170e-02, eta: 12:43:57, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5250, top5_acc: 0.8013, loss_cls: 6.6620, loss: 6.6620 |
| 2025-05-15 18:10:25,991 - pyskl - INFO - Epoch [36][600/1027] lr: 2.169e-02, eta: 12:43:12, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5300, top5_acc: 0.8131, loss_cls: 6.6004, loss: 6.6004 |
| 2025-05-15 18:11:03,118 - pyskl - INFO - Epoch [36][700/1027] lr: 2.167e-02, eta: 12:42:27, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.8063, loss_cls: 6.6848, loss: 6.6848 |
| 2025-05-15 18:11:40,473 - pyskl - INFO - Epoch [36][800/1027] lr: 2.165e-02, eta: 12:41:43, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5069, top5_acc: 0.7975, loss_cls: 6.6830, loss: 6.6830 |
| 2025-05-15 18:12:17,853 - pyskl - INFO - Epoch [36][900/1027] lr: 2.163e-02, eta: 12:40:59, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.7975, loss_cls: 6.6691, loss: 6.6691 |
| 2025-05-15 18:12:55,332 - pyskl - INFO - Epoch [36][1000/1027] lr: 2.162e-02, eta: 12:40:15, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.7819, loss_cls: 6.8037, loss: 6.8037 |
| 2025-05-15 18:13:06,215 - pyskl - INFO - Saving checkpoint at 36 epochs |
| 2025-05-15 18:13:44,104 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:13:44,187 - pyskl - INFO - |
| top1_acc 0.5672 |
| top5_acc 0.8686 |
| 2025-05-15 18:13:44,199 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:13:44,219 - pyskl - INFO - |
| mean_acc 0.5655 |
| 2025-05-15 18:13:44,226 - pyskl - INFO - Epoch(val) [36][413] top1_acc: 0.5672, top5_acc: 0.8686, mean_class_accuracy: 0.5655 |
| 2025-05-15 18:14:48,913 - pyskl - INFO - Epoch [37][100/1027] lr: 2.159e-02, eta: 12:40:14, time: 0.647, data_time: 0.271, memory: 7959, top1_acc: 0.5506, top5_acc: 0.8387, loss_cls: 6.3794, loss: 6.3794 |
| 2025-05-15 18:15:26,271 - pyskl - INFO - Epoch [37][200/1027] lr: 2.158e-02, eta: 12:39:30, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5413, top5_acc: 0.8144, loss_cls: 6.4274, loss: 6.4274 |
| 2025-05-15 18:16:03,755 - pyskl - INFO - Epoch [37][300/1027] lr: 2.156e-02, eta: 12:38:46, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5363, top5_acc: 0.8256, loss_cls: 6.5659, loss: 6.5659 |
| 2025-05-15 18:16:41,576 - pyskl - INFO - Epoch [37][400/1027] lr: 2.154e-02, eta: 12:38:04, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5312, top5_acc: 0.8031, loss_cls: 6.5889, loss: 6.5889 |
| 2025-05-15 18:17:19,170 - pyskl - INFO - Epoch [37][500/1027] lr: 2.152e-02, eta: 12:37:20, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5206, top5_acc: 0.8044, loss_cls: 6.4995, loss: 6.4995 |
| 2025-05-15 18:17:56,637 - pyskl - INFO - Epoch [37][600/1027] lr: 2.151e-02, eta: 12:36:37, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5244, top5_acc: 0.8156, loss_cls: 6.6101, loss: 6.6101 |
| 2025-05-15 18:18:34,164 - pyskl - INFO - Epoch [37][700/1027] lr: 2.149e-02, eta: 12:35:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5081, top5_acc: 0.7831, loss_cls: 6.7642, loss: 6.7642 |
| 2025-05-15 18:19:11,687 - pyskl - INFO - Epoch [37][800/1027] lr: 2.147e-02, eta: 12:35:10, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5069, top5_acc: 0.7937, loss_cls: 6.6619, loss: 6.6619 |
| 2025-05-15 18:19:49,131 - pyskl - INFO - Epoch [37][900/1027] lr: 2.145e-02, eta: 12:34:26, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5162, top5_acc: 0.8131, loss_cls: 6.5125, loss: 6.5125 |
| 2025-05-15 18:20:26,518 - pyskl - INFO - Epoch [37][1000/1027] lr: 2.144e-02, eta: 12:33:42, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5300, top5_acc: 0.7937, loss_cls: 6.6478, loss: 6.6478 |
| 2025-05-15 18:20:37,436 - pyskl - INFO - Saving checkpoint at 37 epochs |
| 2025-05-15 18:21:15,549 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:21:15,628 - pyskl - INFO - |
| top1_acc 0.5687 |
| top5_acc 0.8723 |
| 2025-05-15 18:21:15,628 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:21:15,638 - pyskl - INFO - |
| mean_acc 0.5675 |
| 2025-05-15 18:21:15,641 - pyskl - INFO - Epoch(val) [37][413] top1_acc: 0.5687, top5_acc: 0.8723, mean_class_accuracy: 0.5675 |
| 2025-05-15 18:22:20,084 - pyskl - INFO - Epoch [38][100/1027] lr: 2.141e-02, eta: 12:33:38, time: 0.644, data_time: 0.267, memory: 7959, top1_acc: 0.5619, top5_acc: 0.8287, loss_cls: 6.4266, loss: 6.4266 |
| 2025-05-15 18:22:57,345 - pyskl - INFO - Epoch [38][200/1027] lr: 2.140e-02, eta: 12:32:54, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5300, top5_acc: 0.7987, loss_cls: 6.4694, loss: 6.4694 |
| 2025-05-15 18:23:34,697 - pyskl - INFO - Epoch [38][300/1027] lr: 2.138e-02, eta: 12:32:10, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5138, top5_acc: 0.8063, loss_cls: 6.6102, loss: 6.6102 |
| 2025-05-15 18:24:12,220 - pyskl - INFO - Epoch [38][400/1027] lr: 2.136e-02, eta: 12:31:27, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5500, top5_acc: 0.8250, loss_cls: 6.4490, loss: 6.4490 |
| 2025-05-15 18:24:49,624 - pyskl - INFO - Epoch [38][500/1027] lr: 2.134e-02, eta: 12:30:43, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5506, top5_acc: 0.8175, loss_cls: 6.4541, loss: 6.4541 |
| 2025-05-15 18:25:26,835 - pyskl - INFO - Epoch [38][600/1027] lr: 2.132e-02, eta: 12:29:59, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8094, loss_cls: 6.6355, loss: 6.6355 |
| 2025-05-15 18:26:04,064 - pyskl - INFO - Epoch [38][700/1027] lr: 2.131e-02, eta: 12:29:14, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.8006, loss_cls: 6.7399, loss: 6.7399 |
| 2025-05-15 18:26:41,189 - pyskl - INFO - Epoch [38][800/1027] lr: 2.129e-02, eta: 12:28:30, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5200, top5_acc: 0.8087, loss_cls: 6.6304, loss: 6.6304 |
| 2025-05-15 18:27:18,426 - pyskl - INFO - Epoch [38][900/1027] lr: 2.127e-02, eta: 12:27:46, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5375, top5_acc: 0.8256, loss_cls: 6.5114, loss: 6.5114 |
| 2025-05-15 18:27:55,696 - pyskl - INFO - Epoch [38][1000/1027] lr: 2.125e-02, eta: 12:27:02, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5375, top5_acc: 0.7944, loss_cls: 6.6911, loss: 6.6911 |
| 2025-05-15 18:28:06,579 - pyskl - INFO - Saving checkpoint at 38 epochs |
| 2025-05-15 18:28:44,394 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:28:44,466 - pyskl - INFO - |
| top1_acc 0.5793 |
| top5_acc 0.8792 |
| 2025-05-15 18:28:44,466 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:28:44,474 - pyskl - INFO - |
| mean_acc 0.5807 |
| 2025-05-15 18:28:44,475 - pyskl - INFO - Epoch(val) [38][413] top1_acc: 0.5793, top5_acc: 0.8792, mean_class_accuracy: 0.5807 |
| 2025-05-15 18:29:47,647 - pyskl - INFO - Epoch [39][100/1027] lr: 2.123e-02, eta: 12:26:53, time: 0.632, data_time: 0.255, memory: 7959, top1_acc: 0.5406, top5_acc: 0.8069, loss_cls: 6.4144, loss: 6.4144 |
| 2025-05-15 18:30:24,948 - pyskl - INFO - Epoch [39][200/1027] lr: 2.121e-02, eta: 12:26:09, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5425, top5_acc: 0.8244, loss_cls: 6.4824, loss: 6.4824 |
| 2025-05-15 18:31:02,463 - pyskl - INFO - Epoch [39][300/1027] lr: 2.119e-02, eta: 12:25:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5363, top5_acc: 0.8125, loss_cls: 6.4482, loss: 6.4482 |
| 2025-05-15 18:31:40,239 - pyskl - INFO - Epoch [39][400/1027] lr: 2.117e-02, eta: 12:24:43, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5400, top5_acc: 0.8150, loss_cls: 6.4978, loss: 6.4978 |
| 2025-05-15 18:32:17,920 - pyskl - INFO - Epoch [39][500/1027] lr: 2.115e-02, eta: 12:24:00, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5413, top5_acc: 0.8013, loss_cls: 6.5327, loss: 6.5327 |
| 2025-05-15 18:32:55,184 - pyskl - INFO - Epoch [39][600/1027] lr: 2.114e-02, eta: 12:23:16, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.8169, loss_cls: 6.5595, loss: 6.5595 |
| 2025-05-15 18:33:32,524 - pyskl - INFO - Epoch [39][700/1027] lr: 2.112e-02, eta: 12:22:33, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.8056, loss_cls: 6.5910, loss: 6.5910 |
| 2025-05-15 18:34:09,752 - pyskl - INFO - Epoch [39][800/1027] lr: 2.110e-02, eta: 12:21:49, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5262, top5_acc: 0.8156, loss_cls: 6.5183, loss: 6.5183 |
| 2025-05-15 18:34:46,904 - pyskl - INFO - Epoch [39][900/1027] lr: 2.108e-02, eta: 12:21:04, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5387, top5_acc: 0.8187, loss_cls: 6.4489, loss: 6.4489 |
| 2025-05-15 18:35:24,345 - pyskl - INFO - Epoch [39][1000/1027] lr: 2.106e-02, eta: 12:20:21, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5156, top5_acc: 0.7944, loss_cls: 6.6861, loss: 6.6861 |
| 2025-05-15 18:35:35,243 - pyskl - INFO - Saving checkpoint at 39 epochs |
| 2025-05-15 18:36:12,935 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:36:13,008 - pyskl - INFO - |
| top1_acc 0.5618 |
| top5_acc 0.8636 |
| 2025-05-15 18:36:13,008 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:36:13,016 - pyskl - INFO - |
| mean_acc 0.5574 |
| 2025-05-15 18:36:13,017 - pyskl - INFO - Epoch(val) [39][413] top1_acc: 0.5618, top5_acc: 0.8636, mean_class_accuracy: 0.5574 |
| 2025-05-15 18:37:16,594 - pyskl - INFO - Epoch [40][100/1027] lr: 2.104e-02, eta: 12:20:12, time: 0.636, data_time: 0.262, memory: 7959, top1_acc: 0.5619, top5_acc: 0.8225, loss_cls: 6.4058, loss: 6.4058 |
| 2025-05-15 18:37:53,896 - pyskl - INFO - Epoch [40][200/1027] lr: 2.102e-02, eta: 12:19:28, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5556, top5_acc: 0.8181, loss_cls: 6.4404, loss: 6.4404 |
| 2025-05-15 18:38:31,220 - pyskl - INFO - Epoch [40][300/1027] lr: 2.100e-02, eta: 12:18:44, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7900, loss_cls: 6.7569, loss: 6.7569 |
| 2025-05-15 18:39:08,795 - pyskl - INFO - Epoch [40][400/1027] lr: 2.098e-02, eta: 12:18:01, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5537, top5_acc: 0.8369, loss_cls: 6.2197, loss: 6.2197 |
| 2025-05-15 18:39:46,470 - pyskl - INFO - Epoch [40][500/1027] lr: 2.096e-02, eta: 12:17:19, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8063, loss_cls: 6.5373, loss: 6.5373 |
| 2025-05-15 18:40:23,855 - pyskl - INFO - Epoch [40][600/1027] lr: 2.094e-02, eta: 12:16:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5181, top5_acc: 0.8069, loss_cls: 6.5863, loss: 6.5863 |
| 2025-05-15 18:41:01,172 - pyskl - INFO - Epoch [40][700/1027] lr: 2.093e-02, eta: 12:15:52, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.8363, loss_cls: 6.4206, loss: 6.4206 |
| 2025-05-15 18:41:38,452 - pyskl - INFO - Epoch [40][800/1027] lr: 2.091e-02, eta: 12:15:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.8237, loss_cls: 6.5380, loss: 6.5380 |
| 2025-05-15 18:42:15,743 - pyskl - INFO - Epoch [40][900/1027] lr: 2.089e-02, eta: 12:14:24, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7850, loss_cls: 6.6770, loss: 6.6770 |
| 2025-05-15 18:42:52,958 - pyskl - INFO - Epoch [40][1000/1027] lr: 2.087e-02, eta: 12:13:41, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5306, top5_acc: 0.8225, loss_cls: 6.4349, loss: 6.4349 |
| 2025-05-15 18:43:03,823 - pyskl - INFO - Saving checkpoint at 40 epochs |
| 2025-05-15 18:43:41,708 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:43:41,781 - pyskl - INFO - |
| top1_acc 0.6127 |
| top5_acc 0.8932 |
| 2025-05-15 18:43:41,781 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:43:41,789 - pyskl - INFO - |
| mean_acc 0.6099 |
| 2025-05-15 18:43:41,851 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_33.pth was removed |
| 2025-05-15 18:43:43,537 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. |
| 2025-05-15 18:43:43,538 - pyskl - INFO - Best top1_acc is 0.6127 at 40 epoch. |
| 2025-05-15 18:43:43,542 - pyskl - INFO - Epoch(val) [40][413] top1_acc: 0.6127, top5_acc: 0.8932, mean_class_accuracy: 0.6099 |
| 2025-05-15 18:44:47,196 - pyskl - INFO - Epoch [41][100/1027] lr: 2.085e-02, eta: 12:13:30, time: 0.636, data_time: 0.258, memory: 7959, top1_acc: 0.5744, top5_acc: 0.8350, loss_cls: 6.3117, loss: 6.3117 |
| 2025-05-15 18:45:24,483 - pyskl - INFO - Epoch [41][200/1027] lr: 2.083e-02, eta: 12:12:46, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5463, top5_acc: 0.8175, loss_cls: 6.2916, loss: 6.2916 |
| 2025-05-15 18:46:01,715 - pyskl - INFO - Epoch [41][300/1027] lr: 2.081e-02, eta: 12:12:03, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8294, loss_cls: 6.4557, loss: 6.4557 |
| 2025-05-15 18:46:39,377 - pyskl - INFO - Epoch [41][400/1027] lr: 2.079e-02, eta: 12:11:20, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8213, loss_cls: 6.4001, loss: 6.4001 |
| 2025-05-15 18:47:16,883 - pyskl - INFO - Epoch [41][500/1027] lr: 2.077e-02, eta: 12:10:37, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8156, loss_cls: 6.5047, loss: 6.5047 |
| 2025-05-15 18:47:54,102 - pyskl - INFO - Epoch [41][600/1027] lr: 2.075e-02, eta: 12:09:53, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5463, top5_acc: 0.8263, loss_cls: 6.5355, loss: 6.5355 |
| 2025-05-15 18:48:31,306 - pyskl - INFO - Epoch [41][700/1027] lr: 2.073e-02, eta: 12:09:10, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8113, loss_cls: 6.4636, loss: 6.4636 |
| 2025-05-15 18:49:07,956 - pyskl - INFO - Epoch [41][800/1027] lr: 2.071e-02, eta: 12:08:24, time: 0.366, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.8025, loss_cls: 6.5085, loss: 6.5085 |
| 2025-05-15 18:49:44,637 - pyskl - INFO - Epoch [41][900/1027] lr: 2.069e-02, eta: 12:07:39, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.5094, top5_acc: 0.8125, loss_cls: 6.5563, loss: 6.5563 |
| 2025-05-15 18:50:21,312 - pyskl - INFO - Epoch [41][1000/1027] lr: 2.067e-02, eta: 12:06:54, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.5144, top5_acc: 0.7931, loss_cls: 6.7652, loss: 6.7652 |
| 2025-05-15 18:50:32,013 - pyskl - INFO - Saving checkpoint at 41 epochs |
| 2025-05-15 18:51:09,870 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:51:09,946 - pyskl - INFO - |
| top1_acc 0.5639 |
| top5_acc 0.8673 |
| 2025-05-15 18:51:09,946 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:51:09,955 - pyskl - INFO - |
| mean_acc 0.5627 |
| 2025-05-15 18:51:09,957 - pyskl - INFO - Epoch(val) [41][413] top1_acc: 0.5639, top5_acc: 0.8673, mean_class_accuracy: 0.5627 |
| 2025-05-15 18:52:14,162 - pyskl - INFO - Epoch [42][100/1027] lr: 2.065e-02, eta: 12:06:44, time: 0.642, data_time: 0.265, memory: 7959, top1_acc: 0.5544, top5_acc: 0.8344, loss_cls: 6.1937, loss: 6.1937 |
| 2025-05-15 18:52:51,528 - pyskl - INFO - Epoch [42][200/1027] lr: 2.063e-02, eta: 12:06:01, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5544, top5_acc: 0.8425, loss_cls: 6.2727, loss: 6.2727 |
| 2025-05-15 18:53:28,803 - pyskl - INFO - Epoch [42][300/1027] lr: 2.061e-02, eta: 12:05:17, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8119, loss_cls: 6.4771, loss: 6.4771 |
| 2025-05-15 18:54:06,536 - pyskl - INFO - Epoch [42][400/1027] lr: 2.059e-02, eta: 12:04:35, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5481, top5_acc: 0.8306, loss_cls: 6.4778, loss: 6.4778 |
| 2025-05-15 18:54:44,070 - pyskl - INFO - Epoch [42][500/1027] lr: 2.057e-02, eta: 12:03:52, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5300, top5_acc: 0.7875, loss_cls: 6.6456, loss: 6.6456 |
| 2025-05-15 18:55:21,409 - pyskl - INFO - Epoch [42][600/1027] lr: 2.055e-02, eta: 12:03:09, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5312, top5_acc: 0.8081, loss_cls: 6.5304, loss: 6.5304 |
| 2025-05-15 18:55:58,905 - pyskl - INFO - Epoch [42][700/1027] lr: 2.053e-02, eta: 12:02:26, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5225, top5_acc: 0.8263, loss_cls: 6.4375, loss: 6.4375 |
| 2025-05-15 18:56:36,462 - pyskl - INFO - Epoch [42][800/1027] lr: 2.051e-02, eta: 12:01:43, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8225, loss_cls: 6.3373, loss: 6.3373 |
| 2025-05-15 18:57:13,759 - pyskl - INFO - Epoch [42][900/1027] lr: 2.049e-02, eta: 12:01:00, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.8219, loss_cls: 6.4966, loss: 6.4966 |
| 2025-05-15 18:57:51,350 - pyskl - INFO - Epoch [42][1000/1027] lr: 2.047e-02, eta: 12:00:18, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5363, top5_acc: 0.8075, loss_cls: 6.4461, loss: 6.4461 |
| 2025-05-15 18:58:02,398 - pyskl - INFO - Saving checkpoint at 42 epochs |
| 2025-05-15 18:58:40,466 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 18:58:40,537 - pyskl - INFO - |
| top1_acc 0.5818 |
| top5_acc 0.8753 |
| 2025-05-15 18:58:40,537 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 18:58:40,544 - pyskl - INFO - |
| mean_acc 0.5830 |
| 2025-05-15 18:58:40,546 - pyskl - INFO - Epoch(val) [42][413] top1_acc: 0.5818, top5_acc: 0.8753, mean_class_accuracy: 0.5830 |
| 2025-05-15 18:59:44,703 - pyskl - INFO - Epoch [43][100/1027] lr: 2.045e-02, eta: 12:00:06, time: 0.642, data_time: 0.264, memory: 7959, top1_acc: 0.5600, top5_acc: 0.8244, loss_cls: 6.3107, loss: 6.3107 |
| 2025-05-15 19:00:22,102 - pyskl - INFO - Epoch [43][200/1027] lr: 2.043e-02, eta: 11:59:23, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5581, top5_acc: 0.8281, loss_cls: 6.4319, loss: 6.4319 |
| 2025-05-15 19:00:59,417 - pyskl - INFO - Epoch [43][300/1027] lr: 2.041e-02, eta: 11:58:40, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5637, top5_acc: 0.8331, loss_cls: 6.3046, loss: 6.3046 |
| 2025-05-15 19:01:36,846 - pyskl - INFO - Epoch [43][400/1027] lr: 2.039e-02, eta: 11:57:57, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8219, loss_cls: 6.2454, loss: 6.2454 |
| 2025-05-15 19:02:14,587 - pyskl - INFO - Epoch [43][500/1027] lr: 2.037e-02, eta: 11:57:14, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5425, top5_acc: 0.8287, loss_cls: 6.3596, loss: 6.3596 |
| 2025-05-15 19:02:51,842 - pyskl - INFO - Epoch [43][600/1027] lr: 2.035e-02, eta: 11:56:31, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5250, top5_acc: 0.8175, loss_cls: 6.5498, loss: 6.5498 |
| 2025-05-15 19:03:28,979 - pyskl - INFO - Epoch [43][700/1027] lr: 2.033e-02, eta: 11:55:48, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5437, top5_acc: 0.8256, loss_cls: 6.3994, loss: 6.3994 |
| 2025-05-15 19:04:06,128 - pyskl - INFO - Epoch [43][800/1027] lr: 2.031e-02, eta: 11:55:04, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5444, top5_acc: 0.8263, loss_cls: 6.4430, loss: 6.4430 |
| 2025-05-15 19:04:43,318 - pyskl - INFO - Epoch [43][900/1027] lr: 2.029e-02, eta: 11:54:21, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5556, top5_acc: 0.8331, loss_cls: 6.3866, loss: 6.3866 |
| 2025-05-15 19:05:20,693 - pyskl - INFO - Epoch [43][1000/1027] lr: 2.027e-02, eta: 11:53:38, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5406, top5_acc: 0.8087, loss_cls: 6.4982, loss: 6.4982 |
| 2025-05-15 19:05:31,595 - pyskl - INFO - Saving checkpoint at 43 epochs |
| 2025-05-15 19:06:09,194 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:06:09,269 - pyskl - INFO - |
| top1_acc 0.5828 |
| top5_acc 0.8832 |
| 2025-05-15 19:06:09,269 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:06:09,277 - pyskl - INFO - |
| mean_acc 0.5856 |
| 2025-05-15 19:06:09,279 - pyskl - INFO - Epoch(val) [43][413] top1_acc: 0.5828, top5_acc: 0.8832, mean_class_accuracy: 0.5856 |
| 2025-05-15 19:07:13,113 - pyskl - INFO - Epoch [44][100/1027] lr: 2.024e-02, eta: 11:53:24, time: 0.638, data_time: 0.262, memory: 7959, top1_acc: 0.5725, top5_acc: 0.8356, loss_cls: 6.3370, loss: 6.3370 |
| 2025-05-15 19:07:50,345 - pyskl - INFO - Epoch [44][200/1027] lr: 2.022e-02, eta: 11:52:41, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5456, top5_acc: 0.8269, loss_cls: 6.3978, loss: 6.3978 |
| 2025-05-15 19:08:27,580 - pyskl - INFO - Epoch [44][300/1027] lr: 2.020e-02, eta: 11:51:57, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5294, top5_acc: 0.8231, loss_cls: 6.4487, loss: 6.4487 |
| 2025-05-15 19:09:05,006 - pyskl - INFO - Epoch [44][400/1027] lr: 2.018e-02, eta: 11:51:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.8200, loss_cls: 6.3854, loss: 6.3854 |
| 2025-05-15 19:09:42,499 - pyskl - INFO - Epoch [44][500/1027] lr: 2.016e-02, eta: 11:50:32, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5663, top5_acc: 0.8256, loss_cls: 6.3391, loss: 6.3391 |
| 2025-05-15 19:10:19,882 - pyskl - INFO - Epoch [44][600/1027] lr: 2.014e-02, eta: 11:49:49, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5337, top5_acc: 0.8056, loss_cls: 6.5733, loss: 6.5733 |
| 2025-05-15 19:10:57,370 - pyskl - INFO - Epoch [44][700/1027] lr: 2.012e-02, eta: 11:49:06, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5363, top5_acc: 0.8175, loss_cls: 6.4151, loss: 6.4151 |
| 2025-05-15 19:11:34,963 - pyskl - INFO - Epoch [44][800/1027] lr: 2.010e-02, eta: 11:48:24, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5637, top5_acc: 0.8281, loss_cls: 6.4228, loss: 6.4228 |
| 2025-05-15 19:12:12,235 - pyskl - INFO - Epoch [44][900/1027] lr: 2.008e-02, eta: 11:47:41, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8269, loss_cls: 6.4005, loss: 6.4005 |
| 2025-05-15 19:12:49,519 - pyskl - INFO - Epoch [44][1000/1027] lr: 2.006e-02, eta: 11:46:58, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5400, top5_acc: 0.8119, loss_cls: 6.4873, loss: 6.4873 |
| 2025-05-15 19:13:00,452 - pyskl - INFO - Saving checkpoint at 44 epochs |
| 2025-05-15 19:13:38,200 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:13:38,275 - pyskl - INFO - |
| top1_acc 0.6207 |
| top5_acc 0.8970 |
| 2025-05-15 19:13:38,276 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:13:38,288 - pyskl - INFO - |
| mean_acc 0.6212 |
| 2025-05-15 19:13:38,352 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_40.pth was removed |
| 2025-05-15 19:13:40,133 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_44.pth. |
| 2025-05-15 19:13:40,135 - pyskl - INFO - Best top1_acc is 0.6207 at 44 epoch. |
| 2025-05-15 19:13:40,138 - pyskl - INFO - Epoch(val) [44][413] top1_acc: 0.6207, top5_acc: 0.8970, mean_class_accuracy: 0.6212 |
| 2025-05-15 19:14:43,814 - pyskl - INFO - Epoch [45][100/1027] lr: 2.004e-02, eta: 11:46:43, time: 0.637, data_time: 0.260, memory: 7959, top1_acc: 0.5681, top5_acc: 0.8356, loss_cls: 6.2957, loss: 6.2957 |
| 2025-05-15 19:15:21,092 - pyskl - INFO - Epoch [45][200/1027] lr: 2.002e-02, eta: 11:46:00, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5519, top5_acc: 0.8356, loss_cls: 6.2855, loss: 6.2855 |
| 2025-05-15 19:15:58,609 - pyskl - INFO - Epoch [45][300/1027] lr: 2.000e-02, eta: 11:45:17, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8450, loss_cls: 6.2819, loss: 6.2819 |
| 2025-05-15 19:16:36,120 - pyskl - INFO - Epoch [45][400/1027] lr: 1.998e-02, eta: 11:44:35, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5669, top5_acc: 0.8319, loss_cls: 6.2378, loss: 6.2378 |
| 2025-05-15 19:17:13,719 - pyskl - INFO - Epoch [45][500/1027] lr: 1.996e-02, eta: 11:43:52, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8231, loss_cls: 6.3717, loss: 6.3717 |
| 2025-05-15 19:17:51,026 - pyskl - INFO - Epoch [45][600/1027] lr: 1.994e-02, eta: 11:43:09, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.8200, loss_cls: 6.3851, loss: 6.3851 |
| 2025-05-15 19:18:28,255 - pyskl - INFO - Epoch [45][700/1027] lr: 1.991e-02, eta: 11:42:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.8150, loss_cls: 6.4404, loss: 6.4404 |
| 2025-05-15 19:19:05,596 - pyskl - INFO - Epoch [45][800/1027] lr: 1.989e-02, eta: 11:41:44, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5394, top5_acc: 0.8125, loss_cls: 6.5288, loss: 6.5288 |
| 2025-05-15 19:19:42,930 - pyskl - INFO - Epoch [45][900/1027] lr: 1.987e-02, eta: 11:41:01, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5575, top5_acc: 0.8169, loss_cls: 6.3446, loss: 6.3446 |
| 2025-05-15 19:20:20,372 - pyskl - INFO - Epoch [45][1000/1027] lr: 1.985e-02, eta: 11:40:18, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8181, loss_cls: 6.3484, loss: 6.3484 |
| 2025-05-15 19:20:31,622 - pyskl - INFO - Saving checkpoint at 45 epochs |
| 2025-05-15 19:21:08,659 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:21:08,729 - pyskl - INFO - |
| top1_acc 0.5934 |
| top5_acc 0.8810 |
| 2025-05-15 19:21:08,730 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:21:08,737 - pyskl - INFO - |
| mean_acc 0.5958 |
| 2025-05-15 19:21:08,739 - pyskl - INFO - Epoch(val) [45][413] top1_acc: 0.5934, top5_acc: 0.8810, mean_class_accuracy: 0.5958 |
| 2025-05-15 19:22:12,216 - pyskl - INFO - Epoch [46][100/1027] lr: 1.983e-02, eta: 11:40:01, time: 0.635, data_time: 0.259, memory: 7959, top1_acc: 0.5725, top5_acc: 0.8356, loss_cls: 6.2826, loss: 6.2826 |
| 2025-05-15 19:22:49,620 - pyskl - INFO - Epoch [46][200/1027] lr: 1.981e-02, eta: 11:39:19, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8275, loss_cls: 6.3235, loss: 6.3235 |
| 2025-05-15 19:23:27,197 - pyskl - INFO - Epoch [46][300/1027] lr: 1.979e-02, eta: 11:38:36, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8281, loss_cls: 6.4317, loss: 6.4317 |
| 2025-05-15 19:24:04,865 - pyskl - INFO - Epoch [46][400/1027] lr: 1.976e-02, eta: 11:37:54, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5625, top5_acc: 0.8269, loss_cls: 6.3933, loss: 6.3933 |
| 2025-05-15 19:24:42,506 - pyskl - INFO - Epoch [46][500/1027] lr: 1.974e-02, eta: 11:37:12, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5594, top5_acc: 0.8444, loss_cls: 6.2874, loss: 6.2874 |
| 2025-05-15 19:25:19,641 - pyskl - INFO - Epoch [46][600/1027] lr: 1.972e-02, eta: 11:36:29, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5581, top5_acc: 0.8363, loss_cls: 6.3963, loss: 6.3963 |
| 2025-05-15 19:25:56,908 - pyskl - INFO - Epoch [46][700/1027] lr: 1.970e-02, eta: 11:35:46, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5306, top5_acc: 0.8275, loss_cls: 6.3881, loss: 6.3881 |
| 2025-05-15 19:26:34,170 - pyskl - INFO - Epoch [46][800/1027] lr: 1.968e-02, eta: 11:35:04, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8175, loss_cls: 6.2896, loss: 6.2896 |
| 2025-05-15 19:27:11,464 - pyskl - INFO - Epoch [46][900/1027] lr: 1.966e-02, eta: 11:34:21, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5463, top5_acc: 0.8144, loss_cls: 6.4200, loss: 6.4200 |
| 2025-05-15 19:27:48,693 - pyskl - INFO - Epoch [46][1000/1027] lr: 1.964e-02, eta: 11:33:38, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5650, top5_acc: 0.8131, loss_cls: 6.3664, loss: 6.3664 |
| 2025-05-15 19:27:59,568 - pyskl - INFO - Saving checkpoint at 46 epochs |
| 2025-05-15 19:28:37,078 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:28:37,153 - pyskl - INFO - |
| top1_acc 0.5831 |
| top5_acc 0.8803 |
| 2025-05-15 19:28:37,154 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:28:37,161 - pyskl - INFO - |
| mean_acc 0.5791 |
| 2025-05-15 19:28:37,163 - pyskl - INFO - Epoch(val) [46][413] top1_acc: 0.5831, top5_acc: 0.8803, mean_class_accuracy: 0.5791 |
| 2025-05-15 19:29:41,623 - pyskl - INFO - Epoch [47][100/1027] lr: 1.961e-02, eta: 11:33:22, time: 0.645, data_time: 0.268, memory: 7959, top1_acc: 0.5713, top5_acc: 0.8356, loss_cls: 6.2899, loss: 6.2899 |
| 2025-05-15 19:30:18,948 - pyskl - INFO - Epoch [47][200/1027] lr: 1.959e-02, eta: 11:32:39, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5669, top5_acc: 0.8225, loss_cls: 6.3623, loss: 6.3623 |
| 2025-05-15 19:30:56,342 - pyskl - INFO - Epoch [47][300/1027] lr: 1.957e-02, eta: 11:31:57, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5787, top5_acc: 0.8356, loss_cls: 6.2860, loss: 6.2860 |
| 2025-05-15 19:31:34,000 - pyskl - INFO - Epoch [47][400/1027] lr: 1.955e-02, eta: 11:31:15, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8363, loss_cls: 6.2175, loss: 6.2175 |
| 2025-05-15 19:32:11,348 - pyskl - INFO - Epoch [47][500/1027] lr: 1.953e-02, eta: 11:30:32, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5406, top5_acc: 0.8206, loss_cls: 6.3955, loss: 6.3955 |
| 2025-05-15 19:32:48,558 - pyskl - INFO - Epoch [47][600/1027] lr: 1.951e-02, eta: 11:29:49, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8350, loss_cls: 6.3212, loss: 6.3212 |
| 2025-05-15 19:33:25,675 - pyskl - INFO - Epoch [47][700/1027] lr: 1.949e-02, eta: 11:29:06, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5400, top5_acc: 0.8131, loss_cls: 6.4307, loss: 6.4307 |
| 2025-05-15 19:34:02,864 - pyskl - INFO - Epoch [47][800/1027] lr: 1.947e-02, eta: 11:28:24, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5619, top5_acc: 0.8344, loss_cls: 6.3343, loss: 6.3343 |
| 2025-05-15 19:34:39,970 - pyskl - INFO - Epoch [47][900/1027] lr: 1.944e-02, eta: 11:27:40, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8450, loss_cls: 6.2043, loss: 6.2043 |
| 2025-05-15 19:35:17,313 - pyskl - INFO - Epoch [47][1000/1027] lr: 1.942e-02, eta: 11:26:58, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5519, top5_acc: 0.8137, loss_cls: 6.4331, loss: 6.4331 |
| 2025-05-15 19:35:28,259 - pyskl - INFO - Saving checkpoint at 47 epochs |
| 2025-05-15 19:36:05,814 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:36:05,890 - pyskl - INFO - |
| top1_acc 0.6218 |
| top5_acc 0.8906 |
| 2025-05-15 19:36:05,890 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:36:05,898 - pyskl - INFO - |
| mean_acc 0.6187 |
| 2025-05-15 19:36:05,959 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_44.pth was removed |
| 2025-05-15 19:36:07,592 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. |
| 2025-05-15 19:36:07,593 - pyskl - INFO - Best top1_acc is 0.6218 at 47 epoch. |
| 2025-05-15 19:36:07,596 - pyskl - INFO - Epoch(val) [47][413] top1_acc: 0.6218, top5_acc: 0.8906, mean_class_accuracy: 0.6187 |
| 2025-05-15 19:37:11,709 - pyskl - INFO - Epoch [48][100/1027] lr: 1.940e-02, eta: 11:26:40, time: 0.641, data_time: 0.267, memory: 7959, top1_acc: 0.5956, top5_acc: 0.8519, loss_cls: 5.9713, loss: 5.9713 |
| 2025-05-15 19:37:48,874 - pyskl - INFO - Epoch [48][200/1027] lr: 1.938e-02, eta: 11:25:58, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5787, top5_acc: 0.8356, loss_cls: 6.2980, loss: 6.2980 |
| 2025-05-15 19:38:26,143 - pyskl - INFO - Epoch [48][300/1027] lr: 1.935e-02, eta: 11:25:15, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5637, top5_acc: 0.8225, loss_cls: 6.3954, loss: 6.3954 |
| 2025-05-15 19:39:03,734 - pyskl - INFO - Epoch [48][400/1027] lr: 1.933e-02, eta: 11:24:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5744, top5_acc: 0.8375, loss_cls: 6.3129, loss: 6.3129 |
| 2025-05-15 19:39:41,372 - pyskl - INFO - Epoch [48][500/1027] lr: 1.931e-02, eta: 11:23:51, time: 0.376, data_time: 0.001, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8363, loss_cls: 6.2512, loss: 6.2512 |
| 2025-05-15 19:40:18,754 - pyskl - INFO - Epoch [48][600/1027] lr: 1.929e-02, eta: 11:23:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5444, top5_acc: 0.8300, loss_cls: 6.4054, loss: 6.4054 |
| 2025-05-15 19:40:56,043 - pyskl - INFO - Epoch [48][700/1027] lr: 1.927e-02, eta: 11:22:26, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.8269, loss_cls: 6.3054, loss: 6.3054 |
| 2025-05-15 19:41:33,391 - pyskl - INFO - Epoch [48][800/1027] lr: 1.925e-02, eta: 11:21:44, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5737, top5_acc: 0.8306, loss_cls: 6.2233, loss: 6.2233 |
| 2025-05-15 19:42:10,712 - pyskl - INFO - Epoch [48][900/1027] lr: 1.923e-02, eta: 11:21:01, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5481, top5_acc: 0.8187, loss_cls: 6.4312, loss: 6.4312 |
| 2025-05-15 19:42:47,955 - pyskl - INFO - Epoch [48][1000/1027] lr: 1.920e-02, eta: 11:20:18, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5663, top5_acc: 0.8387, loss_cls: 6.2558, loss: 6.2558 |
| 2025-05-15 19:42:58,951 - pyskl - INFO - Saving checkpoint at 48 epochs |
| 2025-05-15 19:43:36,483 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:43:36,556 - pyskl - INFO - |
| top1_acc 0.5983 |
| top5_acc 0.8904 |
| 2025-05-15 19:43:36,556 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:43:36,564 - pyskl - INFO - |
| mean_acc 0.5940 |
| 2025-05-15 19:43:36,565 - pyskl - INFO - Epoch(val) [48][413] top1_acc: 0.5983, top5_acc: 0.8904, mean_class_accuracy: 0.5940 |
| 2025-05-15 19:44:39,616 - pyskl - INFO - Epoch [49][100/1027] lr: 1.918e-02, eta: 11:19:58, time: 0.630, data_time: 0.256, memory: 7959, top1_acc: 0.5913, top5_acc: 0.8488, loss_cls: 6.1573, loss: 6.1573 |
| 2025-05-15 19:45:16,908 - pyskl - INFO - Epoch [49][200/1027] lr: 1.915e-02, eta: 11:19:15, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5769, top5_acc: 0.8506, loss_cls: 6.0974, loss: 6.0974 |
| 2025-05-15 19:45:54,337 - pyskl - INFO - Epoch [49][300/1027] lr: 1.913e-02, eta: 11:18:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8269, loss_cls: 6.3634, loss: 6.3634 |
| 2025-05-15 19:46:31,787 - pyskl - INFO - Epoch [49][400/1027] lr: 1.911e-02, eta: 11:17:51, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8456, loss_cls: 6.1291, loss: 6.1291 |
| 2025-05-15 19:47:09,082 - pyskl - INFO - Epoch [49][500/1027] lr: 1.909e-02, eta: 11:17:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5644, top5_acc: 0.8263, loss_cls: 6.2707, loss: 6.2707 |
| 2025-05-15 19:47:46,277 - pyskl - INFO - Epoch [49][600/1027] lr: 1.907e-02, eta: 11:16:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5650, top5_acc: 0.8375, loss_cls: 6.2979, loss: 6.2979 |
| 2025-05-15 19:48:23,740 - pyskl - INFO - Epoch [49][700/1027] lr: 1.905e-02, eta: 11:15:43, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5600, top5_acc: 0.8331, loss_cls: 6.2212, loss: 6.2212 |
| 2025-05-15 19:49:01,181 - pyskl - INFO - Epoch [49][800/1027] lr: 1.902e-02, eta: 11:15:01, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8219, loss_cls: 6.3359, loss: 6.3359 |
| 2025-05-15 19:49:38,677 - pyskl - INFO - Epoch [49][900/1027] lr: 1.900e-02, eta: 11:14:19, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5581, top5_acc: 0.8300, loss_cls: 6.3143, loss: 6.3143 |
| 2025-05-15 19:50:16,036 - pyskl - INFO - Epoch [49][1000/1027] lr: 1.898e-02, eta: 11:13:37, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8394, loss_cls: 6.3800, loss: 6.3800 |
| 2025-05-15 19:50:26,930 - pyskl - INFO - Saving checkpoint at 49 epochs |
| 2025-05-15 19:51:04,763 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:51:04,838 - pyskl - INFO - |
| top1_acc 0.5901 |
| top5_acc 0.8683 |
| 2025-05-15 19:51:04,838 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:51:04,846 - pyskl - INFO - |
| mean_acc 0.5878 |
| 2025-05-15 19:51:04,848 - pyskl - INFO - Epoch(val) [49][413] top1_acc: 0.5901, top5_acc: 0.8683, mean_class_accuracy: 0.5878 |
| 2025-05-15 19:52:09,020 - pyskl - INFO - Epoch [50][100/1027] lr: 1.895e-02, eta: 11:13:18, time: 0.642, data_time: 0.265, memory: 7959, top1_acc: 0.5837, top5_acc: 0.8306, loss_cls: 6.2404, loss: 6.2404 |
| 2025-05-15 19:52:46,440 - pyskl - INFO - Epoch [50][200/1027] lr: 1.893e-02, eta: 11:12:36, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6056, top5_acc: 0.8456, loss_cls: 6.0233, loss: 6.0233 |
| 2025-05-15 19:53:23,740 - pyskl - INFO - Epoch [50][300/1027] lr: 1.891e-02, eta: 11:11:53, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5931, top5_acc: 0.8462, loss_cls: 6.1684, loss: 6.1684 |
| 2025-05-15 19:54:01,410 - pyskl - INFO - Epoch [50][400/1027] lr: 1.889e-02, eta: 11:11:12, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6012, top5_acc: 0.8413, loss_cls: 6.1947, loss: 6.1947 |
| 2025-05-15 19:54:39,057 - pyskl - INFO - Epoch [50][500/1027] lr: 1.887e-02, eta: 11:10:30, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5831, top5_acc: 0.8456, loss_cls: 6.0838, loss: 6.0838 |
| 2025-05-15 19:55:16,421 - pyskl - INFO - Epoch [50][600/1027] lr: 1.884e-02, eta: 11:09:48, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5556, top5_acc: 0.8219, loss_cls: 6.3486, loss: 6.3486 |
| 2025-05-15 19:55:53,780 - pyskl - INFO - Epoch [50][700/1027] lr: 1.882e-02, eta: 11:09:05, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8413, loss_cls: 6.2386, loss: 6.2386 |
| 2025-05-15 19:56:31,122 - pyskl - INFO - Epoch [50][800/1027] lr: 1.880e-02, eta: 11:08:23, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5556, top5_acc: 0.8325, loss_cls: 6.3054, loss: 6.3054 |
| 2025-05-15 19:57:08,610 - pyskl - INFO - Epoch [50][900/1027] lr: 1.878e-02, eta: 11:07:41, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8206, loss_cls: 6.4270, loss: 6.4270 |
| 2025-05-15 19:57:46,064 - pyskl - INFO - Epoch [50][1000/1027] lr: 1.876e-02, eta: 11:06:59, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8150, loss_cls: 6.3901, loss: 6.3901 |
| 2025-05-15 19:57:57,023 - pyskl - INFO - Saving checkpoint at 50 epochs |
| 2025-05-15 19:58:34,460 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 19:58:34,546 - pyskl - INFO - |
| top1_acc 0.6130 |
| top5_acc 0.8970 |
| 2025-05-15 19:58:34,546 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 19:58:34,557 - pyskl - INFO - |
| mean_acc 0.6061 |
| 2025-05-15 19:58:34,560 - pyskl - INFO - Epoch(val) [50][413] top1_acc: 0.6130, top5_acc: 0.8970, mean_class_accuracy: 0.6061 |
| 2025-05-15 19:59:38,153 - pyskl - INFO - Epoch [51][100/1027] lr: 1.873e-02, eta: 11:06:38, time: 0.636, data_time: 0.260, memory: 7959, top1_acc: 0.5725, top5_acc: 0.8363, loss_cls: 6.1227, loss: 6.1227 |
| 2025-05-15 20:00:15,587 - pyskl - INFO - Epoch [51][200/1027] lr: 1.871e-02, eta: 11:05:56, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6006, top5_acc: 0.8500, loss_cls: 5.9772, loss: 5.9772 |
| 2025-05-15 20:00:52,801 - pyskl - INFO - Epoch [51][300/1027] lr: 1.868e-02, eta: 11:05:13, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5737, top5_acc: 0.8375, loss_cls: 6.1721, loss: 6.1721 |
| 2025-05-15 20:01:30,313 - pyskl - INFO - Epoch [51][400/1027] lr: 1.866e-02, eta: 11:04:32, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5806, top5_acc: 0.8556, loss_cls: 6.1670, loss: 6.1670 |
| 2025-05-15 20:02:07,774 - pyskl - INFO - Epoch [51][500/1027] lr: 1.864e-02, eta: 11:03:50, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8256, loss_cls: 6.2787, loss: 6.2787 |
| 2025-05-15 20:02:45,000 - pyskl - INFO - Epoch [51][600/1027] lr: 1.862e-02, eta: 11:03:07, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5787, top5_acc: 0.8475, loss_cls: 6.2247, loss: 6.2247 |
| 2025-05-15 20:03:22,241 - pyskl - INFO - Epoch [51][700/1027] lr: 1.860e-02, eta: 11:02:25, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5894, top5_acc: 0.8356, loss_cls: 6.1865, loss: 6.1865 |
| 2025-05-15 20:03:59,438 - pyskl - INFO - Epoch [51][800/1027] lr: 1.857e-02, eta: 11:01:42, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5663, top5_acc: 0.8344, loss_cls: 6.3402, loss: 6.3402 |
| 2025-05-15 20:04:36,635 - pyskl - INFO - Epoch [51][900/1027] lr: 1.855e-02, eta: 11:01:00, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5700, top5_acc: 0.8319, loss_cls: 6.1784, loss: 6.1784 |
| 2025-05-15 20:05:13,781 - pyskl - INFO - Epoch [51][1000/1027] lr: 1.853e-02, eta: 11:00:17, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5481, top5_acc: 0.8225, loss_cls: 6.3913, loss: 6.3913 |
| 2025-05-15 20:05:24,756 - pyskl - INFO - Saving checkpoint at 51 epochs |
| 2025-05-15 20:06:02,018 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:06:02,089 - pyskl - INFO - |
| top1_acc 0.6177 |
| top5_acc 0.8874 |
| 2025-05-15 20:06:02,089 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:06:02,097 - pyskl - INFO - |
| mean_acc 0.6206 |
| 2025-05-15 20:06:02,098 - pyskl - INFO - Epoch(val) [51][413] top1_acc: 0.6177, top5_acc: 0.8874, mean_class_accuracy: 0.6206 |
| 2025-05-15 20:07:05,679 - pyskl - INFO - Epoch [52][100/1027] lr: 1.850e-02, eta: 10:59:55, time: 0.636, data_time: 0.261, memory: 7959, top1_acc: 0.6031, top5_acc: 0.8569, loss_cls: 6.1110, loss: 6.1110 |
| 2025-05-15 20:07:42,886 - pyskl - INFO - Epoch [52][200/1027] lr: 1.848e-02, eta: 10:59:13, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8519, loss_cls: 6.0216, loss: 6.0216 |
| 2025-05-15 20:08:20,114 - pyskl - INFO - Epoch [52][300/1027] lr: 1.846e-02, eta: 10:58:31, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5956, top5_acc: 0.8400, loss_cls: 6.0543, loss: 6.0543 |
| 2025-05-15 20:08:57,633 - pyskl - INFO - Epoch [52][400/1027] lr: 1.843e-02, eta: 10:57:49, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8450, loss_cls: 6.0715, loss: 6.0715 |
| 2025-05-15 20:09:35,127 - pyskl - INFO - Epoch [52][500/1027] lr: 1.841e-02, eta: 10:57:07, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5813, top5_acc: 0.8337, loss_cls: 6.1867, loss: 6.1867 |
| 2025-05-15 20:10:12,260 - pyskl - INFO - Epoch [52][600/1027] lr: 1.839e-02, eta: 10:56:24, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5831, top5_acc: 0.8469, loss_cls: 6.3463, loss: 6.3463 |
| 2025-05-15 20:10:49,561 - pyskl - INFO - Epoch [52][700/1027] lr: 1.837e-02, eta: 10:55:42, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8313, loss_cls: 6.2392, loss: 6.2392 |
| 2025-05-15 20:11:26,781 - pyskl - INFO - Epoch [52][800/1027] lr: 1.834e-02, eta: 10:55:00, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8306, loss_cls: 6.3316, loss: 6.3316 |
| 2025-05-15 20:12:04,077 - pyskl - INFO - Epoch [52][900/1027] lr: 1.832e-02, eta: 10:54:18, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8063, loss_cls: 6.3991, loss: 6.3991 |
| 2025-05-15 20:12:41,406 - pyskl - INFO - Epoch [52][1000/1027] lr: 1.830e-02, eta: 10:53:36, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5737, top5_acc: 0.8337, loss_cls: 6.3059, loss: 6.3059 |
| 2025-05-15 20:12:52,336 - pyskl - INFO - Saving checkpoint at 52 epochs |
| 2025-05-15 20:13:29,521 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:13:29,595 - pyskl - INFO - |
| top1_acc 0.6162 |
| top5_acc 0.8939 |
| 2025-05-15 20:13:29,595 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:13:29,603 - pyskl - INFO - |
| mean_acc 0.6151 |
| 2025-05-15 20:13:29,605 - pyskl - INFO - Epoch(val) [52][413] top1_acc: 0.6162, top5_acc: 0.8939, mean_class_accuracy: 0.6151 |
| 2025-05-15 20:14:34,231 - pyskl - INFO - Epoch [53][100/1027] lr: 1.827e-02, eta: 10:53:15, time: 0.646, data_time: 0.271, memory: 7959, top1_acc: 0.6038, top5_acc: 0.8331, loss_cls: 6.1530, loss: 6.1530 |
| 2025-05-15 20:15:11,529 - pyskl - INFO - Epoch [53][200/1027] lr: 1.825e-02, eta: 10:52:33, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5725, top5_acc: 0.8400, loss_cls: 6.1332, loss: 6.1332 |
| 2025-05-15 20:15:48,718 - pyskl - INFO - Epoch [53][300/1027] lr: 1.822e-02, eta: 10:51:50, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6031, top5_acc: 0.8531, loss_cls: 6.0460, loss: 6.0460 |
| 2025-05-15 20:16:26,372 - pyskl - INFO - Epoch [53][400/1027] lr: 1.820e-02, eta: 10:51:09, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6012, top5_acc: 0.8525, loss_cls: 5.9701, loss: 5.9701 |
| 2025-05-15 20:17:03,790 - pyskl - INFO - Epoch [53][500/1027] lr: 1.818e-02, eta: 10:50:27, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5913, top5_acc: 0.8400, loss_cls: 6.1040, loss: 6.1040 |
| 2025-05-15 20:17:40,895 - pyskl - INFO - Epoch [53][600/1027] lr: 1.816e-02, eta: 10:49:45, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5844, top5_acc: 0.8369, loss_cls: 6.2239, loss: 6.2239 |
| 2025-05-15 20:18:17,953 - pyskl - INFO - Epoch [53][700/1027] lr: 1.813e-02, eta: 10:49:02, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8281, loss_cls: 6.2976, loss: 6.2976 |
| 2025-05-15 20:18:55,047 - pyskl - INFO - Epoch [53][800/1027] lr: 1.811e-02, eta: 10:48:20, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8313, loss_cls: 6.2160, loss: 6.2160 |
| 2025-05-15 20:19:32,145 - pyskl - INFO - Epoch [53][900/1027] lr: 1.809e-02, eta: 10:47:37, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5613, top5_acc: 0.8375, loss_cls: 6.1734, loss: 6.1734 |
| 2025-05-15 20:20:09,266 - pyskl - INFO - Epoch [53][1000/1027] lr: 1.806e-02, eta: 10:46:55, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5469, top5_acc: 0.8325, loss_cls: 6.3820, loss: 6.3820 |
| 2025-05-15 20:20:20,118 - pyskl - INFO - Saving checkpoint at 53 epochs |
| 2025-05-15 20:20:58,070 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:20:58,141 - pyskl - INFO - |
| top1_acc 0.6296 |
| top5_acc 0.9006 |
| 2025-05-15 20:20:58,141 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:20:58,149 - pyskl - INFO - |
| mean_acc 0.6290 |
| 2025-05-15 20:20:58,208 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_47.pth was removed |
| 2025-05-15 20:20:59,837 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_53.pth. |
| 2025-05-15 20:20:59,839 - pyskl - INFO - Best top1_acc is 0.6296 at 53 epoch. |
| 2025-05-15 20:20:59,841 - pyskl - INFO - Epoch(val) [53][413] top1_acc: 0.6296, top5_acc: 0.9006, mean_class_accuracy: 0.6290 |
| 2025-05-15 20:22:03,777 - pyskl - INFO - Epoch [54][100/1027] lr: 1.804e-02, eta: 10:46:32, time: 0.639, data_time: 0.264, memory: 7959, top1_acc: 0.6038, top5_acc: 0.8469, loss_cls: 6.1162, loss: 6.1162 |
| 2025-05-15 20:22:41,153 - pyskl - INFO - Epoch [54][200/1027] lr: 1.801e-02, eta: 10:45:50, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6019, top5_acc: 0.8381, loss_cls: 6.1027, loss: 6.1027 |
| 2025-05-15 20:23:18,560 - pyskl - INFO - Epoch [54][300/1027] lr: 1.799e-02, eta: 10:45:08, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8287, loss_cls: 6.2157, loss: 6.2157 |
| 2025-05-15 20:23:56,030 - pyskl - INFO - Epoch [54][400/1027] lr: 1.797e-02, eta: 10:44:27, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5781, top5_acc: 0.8462, loss_cls: 6.1246, loss: 6.1246 |
| 2025-05-15 20:24:33,560 - pyskl - INFO - Epoch [54][500/1027] lr: 1.794e-02, eta: 10:43:45, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5737, top5_acc: 0.8331, loss_cls: 6.1643, loss: 6.1643 |
| 2025-05-15 20:25:10,770 - pyskl - INFO - Epoch [54][600/1027] lr: 1.792e-02, eta: 10:43:03, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8375, loss_cls: 6.2194, loss: 6.2194 |
| 2025-05-15 20:25:47,847 - pyskl - INFO - Epoch [54][700/1027] lr: 1.790e-02, eta: 10:42:21, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8531, loss_cls: 6.0441, loss: 6.0441 |
| 2025-05-15 20:26:24,976 - pyskl - INFO - Epoch [54][800/1027] lr: 1.787e-02, eta: 10:41:38, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5756, top5_acc: 0.8356, loss_cls: 6.1866, loss: 6.1866 |
| 2025-05-15 20:27:02,256 - pyskl - INFO - Epoch [54][900/1027] lr: 1.785e-02, eta: 10:40:56, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5863, top5_acc: 0.8506, loss_cls: 6.1180, loss: 6.1180 |
| 2025-05-15 20:27:39,341 - pyskl - INFO - Epoch [54][1000/1027] lr: 1.783e-02, eta: 10:40:14, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8256, loss_cls: 6.1514, loss: 6.1514 |
| 2025-05-15 20:27:50,207 - pyskl - INFO - Saving checkpoint at 54 epochs |
| 2025-05-15 20:28:27,912 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:28:27,988 - pyskl - INFO - |
| top1_acc 0.6136 |
| top5_acc 0.8930 |
| 2025-05-15 20:28:27,988 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:28:27,996 - pyskl - INFO - |
| mean_acc 0.6136 |
| 2025-05-15 20:28:27,997 - pyskl - INFO - Epoch(val) [54][413] top1_acc: 0.6136, top5_acc: 0.8930, mean_class_accuracy: 0.6136 |
| 2025-05-15 20:29:32,746 - pyskl - INFO - Epoch [55][100/1027] lr: 1.780e-02, eta: 10:39:52, time: 0.647, data_time: 0.270, memory: 7959, top1_acc: 0.6319, top5_acc: 0.8644, loss_cls: 5.9327, loss: 5.9327 |
| 2025-05-15 20:30:10,033 - pyskl - INFO - Epoch [55][200/1027] lr: 1.778e-02, eta: 10:39:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5925, top5_acc: 0.8500, loss_cls: 6.0694, loss: 6.0694 |
| 2025-05-15 20:30:47,358 - pyskl - INFO - Epoch [55][300/1027] lr: 1.775e-02, eta: 10:38:28, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8394, loss_cls: 6.2130, loss: 6.2130 |
| 2025-05-15 20:31:24,861 - pyskl - INFO - Epoch [55][400/1027] lr: 1.773e-02, eta: 10:37:46, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5900, top5_acc: 0.8444, loss_cls: 6.0262, loss: 6.0262 |
| 2025-05-15 20:32:02,313 - pyskl - INFO - Epoch [55][500/1027] lr: 1.771e-02, eta: 10:37:05, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8500, loss_cls: 6.1564, loss: 6.1564 |
| 2025-05-15 20:32:39,731 - pyskl - INFO - Epoch [55][600/1027] lr: 1.768e-02, eta: 10:36:23, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5800, top5_acc: 0.8481, loss_cls: 6.1423, loss: 6.1423 |
| 2025-05-15 20:33:17,004 - pyskl - INFO - Epoch [55][700/1027] lr: 1.766e-02, eta: 10:35:41, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5831, top5_acc: 0.8369, loss_cls: 6.2172, loss: 6.2172 |
| 2025-05-15 20:33:54,255 - pyskl - INFO - Epoch [55][800/1027] lr: 1.764e-02, eta: 10:34:59, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5756, top5_acc: 0.8400, loss_cls: 6.1546, loss: 6.1546 |
| 2025-05-15 20:34:31,508 - pyskl - INFO - Epoch [55][900/1027] lr: 1.761e-02, eta: 10:34:17, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5725, top5_acc: 0.8544, loss_cls: 6.1982, loss: 6.1982 |
| 2025-05-15 20:35:08,848 - pyskl - INFO - Epoch [55][1000/1027] lr: 1.759e-02, eta: 10:33:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5700, top5_acc: 0.8469, loss_cls: 6.1053, loss: 6.1053 |
| 2025-05-15 20:35:19,782 - pyskl - INFO - Saving checkpoint at 55 epochs |
| 2025-05-15 20:35:57,207 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:35:57,279 - pyskl - INFO - |
| top1_acc 0.6124 |
| top5_acc 0.8997 |
| 2025-05-15 20:35:57,279 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:35:57,287 - pyskl - INFO - |
| mean_acc 0.6105 |
| 2025-05-15 20:35:57,288 - pyskl - INFO - Epoch(val) [55][413] top1_acc: 0.6124, top5_acc: 0.8997, mean_class_accuracy: 0.6105 |
| 2025-05-15 20:37:02,190 - pyskl - INFO - Epoch [56][100/1027] lr: 1.756e-02, eta: 10:33:12, time: 0.649, data_time: 0.270, memory: 7959, top1_acc: 0.6019, top5_acc: 0.8612, loss_cls: 6.0212, loss: 6.0212 |
| 2025-05-15 20:37:39,648 - pyskl - INFO - Epoch [56][200/1027] lr: 1.754e-02, eta: 10:32:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5962, top5_acc: 0.8588, loss_cls: 6.1527, loss: 6.1527 |
| 2025-05-15 20:38:16,823 - pyskl - INFO - Epoch [56][300/1027] lr: 1.751e-02, eta: 10:31:49, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5837, top5_acc: 0.8519, loss_cls: 6.0041, loss: 6.0041 |
| 2025-05-15 20:38:54,377 - pyskl - INFO - Epoch [56][400/1027] lr: 1.749e-02, eta: 10:31:07, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8363, loss_cls: 6.2474, loss: 6.2474 |
| 2025-05-15 20:39:31,841 - pyskl - INFO - Epoch [56][500/1027] lr: 1.747e-02, eta: 10:30:26, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5850, top5_acc: 0.8488, loss_cls: 6.1579, loss: 6.1579 |
| 2025-05-15 20:40:09,346 - pyskl - INFO - Epoch [56][600/1027] lr: 1.744e-02, eta: 10:29:44, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6100, top5_acc: 0.8431, loss_cls: 6.0734, loss: 6.0734 |
| 2025-05-15 20:40:46,735 - pyskl - INFO - Epoch [56][700/1027] lr: 1.742e-02, eta: 10:29:03, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8369, loss_cls: 6.1836, loss: 6.1836 |
| 2025-05-15 20:41:24,201 - pyskl - INFO - Epoch [56][800/1027] lr: 1.740e-02, eta: 10:28:21, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8494, loss_cls: 6.0688, loss: 6.0688 |
| 2025-05-15 20:42:01,582 - pyskl - INFO - Epoch [56][900/1027] lr: 1.737e-02, eta: 10:27:40, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5737, top5_acc: 0.8275, loss_cls: 6.2225, loss: 6.2225 |
| 2025-05-15 20:42:38,755 - pyskl - INFO - Epoch [56][1000/1027] lr: 1.735e-02, eta: 10:26:58, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8344, loss_cls: 5.9322, loss: 5.9322 |
| 2025-05-15 20:42:49,680 - pyskl - INFO - Saving checkpoint at 56 epochs |
| 2025-05-15 20:43:27,121 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:43:27,195 - pyskl - INFO - |
| top1_acc 0.6171 |
| top5_acc 0.8900 |
| 2025-05-15 20:43:27,195 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:43:27,203 - pyskl - INFO - |
| mean_acc 0.6179 |
| 2025-05-15 20:43:27,205 - pyskl - INFO - Epoch(val) [56][413] top1_acc: 0.6171, top5_acc: 0.8900, mean_class_accuracy: 0.6179 |
| 2025-05-15 20:44:30,608 - pyskl - INFO - Epoch [57][100/1027] lr: 1.732e-02, eta: 10:26:32, time: 0.634, data_time: 0.260, memory: 7959, top1_acc: 0.6206, top5_acc: 0.8656, loss_cls: 5.9440, loss: 5.9440 |
| 2025-05-15 20:45:08,016 - pyskl - INFO - Epoch [57][200/1027] lr: 1.730e-02, eta: 10:25:50, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8431, loss_cls: 5.9667, loss: 5.9667 |
| 2025-05-15 20:45:45,068 - pyskl - INFO - Epoch [57][300/1027] lr: 1.727e-02, eta: 10:25:08, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8469, loss_cls: 6.0526, loss: 6.0526 |
| 2025-05-15 20:46:22,293 - pyskl - INFO - Epoch [57][400/1027] lr: 1.725e-02, eta: 10:24:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5831, top5_acc: 0.8469, loss_cls: 5.9640, loss: 5.9640 |
| 2025-05-15 20:46:59,729 - pyskl - INFO - Epoch [57][500/1027] lr: 1.723e-02, eta: 10:23:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5719, top5_acc: 0.8481, loss_cls: 6.0730, loss: 6.0730 |
| 2025-05-15 20:47:37,283 - pyskl - INFO - Epoch [57][600/1027] lr: 1.720e-02, eta: 10:23:03, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8481, loss_cls: 5.9612, loss: 5.9612 |
| 2025-05-15 20:48:14,820 - pyskl - INFO - Epoch [57][700/1027] lr: 1.718e-02, eta: 10:22:22, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5669, top5_acc: 0.8469, loss_cls: 6.2217, loss: 6.2217 |
| 2025-05-15 20:48:52,382 - pyskl - INFO - Epoch [57][800/1027] lr: 1.716e-02, eta: 10:21:40, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8431, loss_cls: 6.1938, loss: 6.1938 |
| 2025-05-15 20:49:29,684 - pyskl - INFO - Epoch [57][900/1027] lr: 1.713e-02, eta: 10:20:59, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5706, top5_acc: 0.8475, loss_cls: 6.1921, loss: 6.1921 |
| 2025-05-15 20:50:06,911 - pyskl - INFO - Epoch [57][1000/1027] lr: 1.711e-02, eta: 10:20:17, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5706, top5_acc: 0.8281, loss_cls: 6.2436, loss: 6.2436 |
| 2025-05-15 20:50:17,985 - pyskl - INFO - Saving checkpoint at 57 epochs |
| 2025-05-15 20:50:55,784 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:50:55,856 - pyskl - INFO - |
| top1_acc 0.6384 |
| top5_acc 0.9062 |
| 2025-05-15 20:50:55,856 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:50:55,864 - pyskl - INFO - |
| mean_acc 0.6392 |
| 2025-05-15 20:50:55,922 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_53.pth was removed |
| 2025-05-15 20:50:57,540 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_57.pth. |
| 2025-05-15 20:50:57,542 - pyskl - INFO - Best top1_acc is 0.6384 at 57 epoch. |
| 2025-05-15 20:50:57,544 - pyskl - INFO - Epoch(val) [57][413] top1_acc: 0.6384, top5_acc: 0.9062, mean_class_accuracy: 0.6392 |
| 2025-05-15 20:52:00,819 - pyskl - INFO - Epoch [58][100/1027] lr: 1.708e-02, eta: 10:19:50, time: 0.633, data_time: 0.258, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8656, loss_cls: 6.0080, loss: 6.0080 |
| 2025-05-15 20:52:38,145 - pyskl - INFO - Epoch [58][200/1027] lr: 1.705e-02, eta: 10:19:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6081, top5_acc: 0.8688, loss_cls: 5.9319, loss: 5.9319 |
| 2025-05-15 20:53:15,534 - pyskl - INFO - Epoch [58][300/1027] lr: 1.703e-02, eta: 10:18:27, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6062, top5_acc: 0.8538, loss_cls: 5.9406, loss: 5.9406 |
| 2025-05-15 20:53:53,033 - pyskl - INFO - Epoch [58][400/1027] lr: 1.701e-02, eta: 10:17:45, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8431, loss_cls: 6.1069, loss: 6.1069 |
| 2025-05-15 20:54:30,859 - pyskl - INFO - Epoch [58][500/1027] lr: 1.698e-02, eta: 10:17:05, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8494, loss_cls: 6.1317, loss: 6.1317 |
| 2025-05-15 20:55:08,742 - pyskl - INFO - Epoch [58][600/1027] lr: 1.696e-02, eta: 10:16:24, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8481, loss_cls: 6.0581, loss: 6.0581 |
| 2025-05-15 20:55:45,934 - pyskl - INFO - Epoch [58][700/1027] lr: 1.694e-02, eta: 10:15:42, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5831, top5_acc: 0.8438, loss_cls: 6.1318, loss: 6.1318 |
| 2025-05-15 20:56:23,073 - pyskl - INFO - Epoch [58][800/1027] lr: 1.691e-02, eta: 10:15:00, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5950, top5_acc: 0.8475, loss_cls: 6.0445, loss: 6.0445 |
| 2025-05-15 20:57:00,154 - pyskl - INFO - Epoch [58][900/1027] lr: 1.689e-02, eta: 10:14:18, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5906, top5_acc: 0.8406, loss_cls: 6.0319, loss: 6.0319 |
| 2025-05-15 20:57:37,260 - pyskl - INFO - Epoch [58][1000/1027] lr: 1.686e-02, eta: 10:13:36, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8438, loss_cls: 6.1713, loss: 6.1713 |
| 2025-05-15 20:57:48,100 - pyskl - INFO - Saving checkpoint at 58 epochs |
| 2025-05-15 20:58:25,668 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 20:58:25,740 - pyskl - INFO - |
| top1_acc 0.5962 |
| top5_acc 0.8800 |
| 2025-05-15 20:58:25,740 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 20:58:25,749 - pyskl - INFO - |
| mean_acc 0.5970 |
| 2025-05-15 20:58:25,751 - pyskl - INFO - Epoch(val) [58][413] top1_acc: 0.5962, top5_acc: 0.8800, mean_class_accuracy: 0.5970 |
| 2025-05-15 20:59:29,891 - pyskl - INFO - Epoch [59][100/1027] lr: 1.683e-02, eta: 10:13:10, time: 0.641, data_time: 0.264, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8588, loss_cls: 6.0330, loss: 6.0330 |
| 2025-05-15 21:00:07,379 - pyskl - INFO - Epoch [59][200/1027] lr: 1.681e-02, eta: 10:12:29, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6106, top5_acc: 0.8556, loss_cls: 5.9739, loss: 5.9739 |
| 2025-05-15 21:00:44,791 - pyskl - INFO - Epoch [59][300/1027] lr: 1.679e-02, eta: 10:11:47, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6200, top5_acc: 0.8650, loss_cls: 5.8662, loss: 5.8662 |
| 2025-05-15 21:01:22,250 - pyskl - INFO - Epoch [59][400/1027] lr: 1.676e-02, eta: 10:11:06, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6288, top5_acc: 0.8656, loss_cls: 5.8912, loss: 5.8912 |
| 2025-05-15 21:01:59,867 - pyskl - INFO - Epoch [59][500/1027] lr: 1.674e-02, eta: 10:10:25, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5956, top5_acc: 0.8506, loss_cls: 6.1665, loss: 6.1665 |
| 2025-05-15 21:02:37,314 - pyskl - INFO - Epoch [59][600/1027] lr: 1.671e-02, eta: 10:09:43, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5781, top5_acc: 0.8394, loss_cls: 6.2582, loss: 6.2582 |
| 2025-05-15 21:03:14,635 - pyskl - INFO - Epoch [59][700/1027] lr: 1.669e-02, eta: 10:09:02, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6075, top5_acc: 0.8612, loss_cls: 5.9388, loss: 5.9388 |
| 2025-05-15 21:03:51,969 - pyskl - INFO - Epoch [59][800/1027] lr: 1.667e-02, eta: 10:08:20, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5881, top5_acc: 0.8413, loss_cls: 6.1367, loss: 6.1367 |
| 2025-05-15 21:04:29,632 - pyskl - INFO - Epoch [59][900/1027] lr: 1.664e-02, eta: 10:07:39, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.5856, top5_acc: 0.8406, loss_cls: 6.1899, loss: 6.1899 |
| 2025-05-15 21:05:07,231 - pyskl - INFO - Epoch [59][1000/1027] lr: 1.662e-02, eta: 10:06:58, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5794, top5_acc: 0.8431, loss_cls: 6.1219, loss: 6.1219 |
| 2025-05-15 21:05:18,107 - pyskl - INFO - Saving checkpoint at 59 epochs |
| 2025-05-15 21:05:56,000 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:05:56,088 - pyskl - INFO - |
| top1_acc 0.6227 |
| top5_acc 0.9004 |
| 2025-05-15 21:05:56,088 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:05:56,098 - pyskl - INFO - |
| mean_acc 0.6247 |
| 2025-05-15 21:05:56,100 - pyskl - INFO - Epoch(val) [59][413] top1_acc: 0.6227, top5_acc: 0.9004, mean_class_accuracy: 0.6247 |
| 2025-05-15 21:07:01,160 - pyskl - INFO - Epoch [60][100/1027] lr: 1.659e-02, eta: 10:06:33, time: 0.651, data_time: 0.274, memory: 7959, top1_acc: 0.6256, top5_acc: 0.8675, loss_cls: 5.7877, loss: 5.7877 |
| 2025-05-15 21:07:38,709 - pyskl - INFO - Epoch [60][200/1027] lr: 1.656e-02, eta: 10:05:52, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6150, top5_acc: 0.8675, loss_cls: 5.8639, loss: 5.8639 |
| 2025-05-15 21:08:16,081 - pyskl - INFO - Epoch [60][300/1027] lr: 1.654e-02, eta: 10:05:10, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6138, top5_acc: 0.8419, loss_cls: 6.0392, loss: 6.0392 |
| 2025-05-15 21:08:53,425 - pyskl - INFO - Epoch [60][400/1027] lr: 1.651e-02, eta: 10:04:29, time: 0.373, data_time: 0.001, memory: 7959, top1_acc: 0.6375, top5_acc: 0.8769, loss_cls: 5.7371, loss: 5.7371 |
| 2025-05-15 21:09:30,854 - pyskl - INFO - Epoch [60][500/1027] lr: 1.649e-02, eta: 10:03:47, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5813, top5_acc: 0.8462, loss_cls: 6.0731, loss: 6.0731 |
| 2025-05-15 21:10:08,368 - pyskl - INFO - Epoch [60][600/1027] lr: 1.647e-02, eta: 10:03:06, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5906, top5_acc: 0.8331, loss_cls: 6.1387, loss: 6.1387 |
| 2025-05-15 21:10:45,691 - pyskl - INFO - Epoch [60][700/1027] lr: 1.644e-02, eta: 10:02:25, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8562, loss_cls: 6.0570, loss: 6.0570 |
| 2025-05-15 21:11:23,043 - pyskl - INFO - Epoch [60][800/1027] lr: 1.642e-02, eta: 10:01:43, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5894, top5_acc: 0.8475, loss_cls: 6.1170, loss: 6.1170 |
| 2025-05-15 21:12:00,261 - pyskl - INFO - Epoch [60][900/1027] lr: 1.639e-02, eta: 10:01:02, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6012, top5_acc: 0.8506, loss_cls: 5.9873, loss: 5.9873 |
| 2025-05-15 21:12:37,396 - pyskl - INFO - Epoch [60][1000/1027] lr: 1.637e-02, eta: 10:00:20, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5713, top5_acc: 0.8363, loss_cls: 6.2790, loss: 6.2790 |
| 2025-05-15 21:12:48,425 - pyskl - INFO - Saving checkpoint at 60 epochs |
| 2025-05-15 21:13:26,380 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:13:26,460 - pyskl - INFO - |
| top1_acc 0.6416 |
| top5_acc 0.9073 |
| 2025-05-15 21:13:26,461 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:13:26,472 - pyskl - INFO - |
| mean_acc 0.6387 |
| 2025-05-15 21:13:26,543 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_57.pth was removed |
| 2025-05-15 21:13:28,590 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_60.pth. |
| 2025-05-15 21:13:28,592 - pyskl - INFO - Best top1_acc is 0.6416 at 60 epoch. |
| 2025-05-15 21:13:28,597 - pyskl - INFO - Epoch(val) [60][413] top1_acc: 0.6416, top5_acc: 0.9073, mean_class_accuracy: 0.6387 |
| 2025-05-15 21:14:35,353 - pyskl - INFO - Epoch [61][100/1027] lr: 1.634e-02, eta: 9:59:56, time: 0.667, data_time: 0.283, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8506, loss_cls: 5.7892, loss: 5.7892 |
| 2025-05-15 21:15:13,040 - pyskl - INFO - Epoch [61][200/1027] lr: 1.631e-02, eta: 9:59:16, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6019, top5_acc: 0.8594, loss_cls: 6.0334, loss: 6.0334 |
| 2025-05-15 21:15:50,781 - pyskl - INFO - Epoch [61][300/1027] lr: 1.629e-02, eta: 9:58:35, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6100, top5_acc: 0.8638, loss_cls: 6.0353, loss: 6.0353 |
| 2025-05-15 21:16:28,549 - pyskl - INFO - Epoch [61][400/1027] lr: 1.627e-02, eta: 9:57:54, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6256, top5_acc: 0.8694, loss_cls: 5.7763, loss: 5.7763 |
| 2025-05-15 21:17:06,380 - pyskl - INFO - Epoch [61][500/1027] lr: 1.624e-02, eta: 9:57:13, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6262, top5_acc: 0.8675, loss_cls: 5.8559, loss: 5.8559 |
| 2025-05-15 21:17:44,097 - pyskl - INFO - Epoch [61][600/1027] lr: 1.622e-02, eta: 9:56:32, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8413, loss_cls: 5.8666, loss: 5.8666 |
| 2025-05-15 21:18:21,817 - pyskl - INFO - Epoch [61][700/1027] lr: 1.619e-02, eta: 9:55:52, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6081, top5_acc: 0.8400, loss_cls: 6.1552, loss: 6.1552 |
| 2025-05-15 21:18:59,441 - pyskl - INFO - Epoch [61][800/1027] lr: 1.617e-02, eta: 9:55:11, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.5919, top5_acc: 0.8400, loss_cls: 6.1598, loss: 6.1598 |
| 2025-05-15 21:19:36,947 - pyskl - INFO - Epoch [61][900/1027] lr: 1.614e-02, eta: 9:54:29, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6019, top5_acc: 0.8562, loss_cls: 5.9987, loss: 5.9987 |
| 2025-05-15 21:20:14,763 - pyskl - INFO - Epoch [61][1000/1027] lr: 1.612e-02, eta: 9:53:49, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.5981, top5_acc: 0.8669, loss_cls: 6.0778, loss: 6.0778 |
| 2025-05-15 21:20:25,943 - pyskl - INFO - Saving checkpoint at 61 epochs |
| 2025-05-15 21:21:04,544 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:21:04,651 - pyskl - INFO - |
| top1_acc 0.6365 |
| top5_acc 0.9010 |
| 2025-05-15 21:21:04,651 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:21:04,681 - pyskl - INFO - |
| mean_acc 0.6342 |
| 2025-05-15 21:21:04,686 - pyskl - INFO - Epoch(val) [61][413] top1_acc: 0.6365, top5_acc: 0.9010, mean_class_accuracy: 0.6342 |
| 2025-05-15 21:22:09,837 - pyskl - INFO - Epoch [62][100/1027] lr: 1.609e-02, eta: 9:53:22, time: 0.651, data_time: 0.272, memory: 7959, top1_acc: 0.6400, top5_acc: 0.8800, loss_cls: 5.6954, loss: 5.6954 |
| 2025-05-15 21:22:47,285 - pyskl - INFO - Epoch [62][200/1027] lr: 1.606e-02, eta: 9:52:41, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6388, top5_acc: 0.8744, loss_cls: 5.8368, loss: 5.8368 |
| 2025-05-15 21:23:24,750 - pyskl - INFO - Epoch [62][300/1027] lr: 1.604e-02, eta: 9:52:00, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6262, top5_acc: 0.8588, loss_cls: 5.8542, loss: 5.8542 |
| 2025-05-15 21:24:02,223 - pyskl - INFO - Epoch [62][400/1027] lr: 1.602e-02, eta: 9:51:18, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6156, top5_acc: 0.8650, loss_cls: 5.9433, loss: 5.9433 |
| 2025-05-15 21:24:39,762 - pyskl - INFO - Epoch [62][500/1027] lr: 1.599e-02, eta: 9:50:37, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8381, loss_cls: 6.0796, loss: 6.0796 |
| 2025-05-15 21:25:17,236 - pyskl - INFO - Epoch [62][600/1027] lr: 1.597e-02, eta: 9:49:56, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5744, top5_acc: 0.8456, loss_cls: 6.1064, loss: 6.1064 |
| 2025-05-15 21:25:54,669 - pyskl - INFO - Epoch [62][700/1027] lr: 1.594e-02, eta: 9:49:15, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5919, top5_acc: 0.8481, loss_cls: 6.0369, loss: 6.0369 |
| 2025-05-15 21:26:31,942 - pyskl - INFO - Epoch [62][800/1027] lr: 1.592e-02, eta: 9:48:34, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8488, loss_cls: 6.0293, loss: 6.0293 |
| 2025-05-15 21:27:09,137 - pyskl - INFO - Epoch [62][900/1027] lr: 1.589e-02, eta: 9:47:52, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6006, top5_acc: 0.8394, loss_cls: 6.0051, loss: 6.0051 |
| 2025-05-15 21:27:46,397 - pyskl - INFO - Epoch [62][1000/1027] lr: 1.587e-02, eta: 9:47:11, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6194, top5_acc: 0.8538, loss_cls: 5.9010, loss: 5.9010 |
| 2025-05-15 21:27:57,312 - pyskl - INFO - Saving checkpoint at 62 epochs |
| 2025-05-15 21:28:35,333 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:28:35,408 - pyskl - INFO - |
| top1_acc 0.6121 |
| top5_acc 0.8903 |
| 2025-05-15 21:28:35,409 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:28:35,417 - pyskl - INFO - |
| mean_acc 0.6133 |
| 2025-05-15 21:28:35,419 - pyskl - INFO - Epoch(val) [62][413] top1_acc: 0.6121, top5_acc: 0.8903, mean_class_accuracy: 0.6133 |
| 2025-05-15 21:29:40,121 - pyskl - INFO - Epoch [63][100/1027] lr: 1.584e-02, eta: 9:46:43, time: 0.647, data_time: 0.268, memory: 7959, top1_acc: 0.6394, top5_acc: 0.8731, loss_cls: 5.8143, loss: 5.8143 |
| 2025-05-15 21:30:17,427 - pyskl - INFO - Epoch [63][200/1027] lr: 1.581e-02, eta: 9:46:01, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8569, loss_cls: 5.8098, loss: 5.8098 |
| 2025-05-15 21:30:54,632 - pyskl - INFO - Epoch [63][300/1027] lr: 1.579e-02, eta: 9:45:20, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8756, loss_cls: 5.8033, loss: 5.8033 |
| 2025-05-15 21:31:32,029 - pyskl - INFO - Epoch [63][400/1027] lr: 1.576e-02, eta: 9:44:39, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6331, top5_acc: 0.8756, loss_cls: 5.8193, loss: 5.8193 |
| 2025-05-15 21:32:09,323 - pyskl - INFO - Epoch [63][500/1027] lr: 1.574e-02, eta: 9:43:57, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6250, top5_acc: 0.8488, loss_cls: 5.9340, loss: 5.9340 |
| 2025-05-15 21:32:46,667 - pyskl - INFO - Epoch [63][600/1027] lr: 1.571e-02, eta: 9:43:16, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6344, top5_acc: 0.8731, loss_cls: 5.8087, loss: 5.8087 |
| 2025-05-15 21:33:23,996 - pyskl - INFO - Epoch [63][700/1027] lr: 1.569e-02, eta: 9:42:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6306, top5_acc: 0.8744, loss_cls: 5.9425, loss: 5.9425 |
| 2025-05-15 21:34:01,132 - pyskl - INFO - Epoch [63][800/1027] lr: 1.566e-02, eta: 9:41:53, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5781, top5_acc: 0.8494, loss_cls: 6.1667, loss: 6.1667 |
| 2025-05-15 21:34:38,201 - pyskl - INFO - Epoch [63][900/1027] lr: 1.564e-02, eta: 9:41:12, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5750, top5_acc: 0.8325, loss_cls: 6.0477, loss: 6.0477 |
| 2025-05-15 21:35:15,449 - pyskl - INFO - Epoch [63][1000/1027] lr: 1.562e-02, eta: 9:40:30, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.5975, top5_acc: 0.8512, loss_cls: 6.0616, loss: 6.0616 |
| 2025-05-15 21:35:26,190 - pyskl - INFO - Saving checkpoint at 63 epochs |
| 2025-05-15 21:36:03,985 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:36:04,060 - pyskl - INFO - |
| top1_acc 0.6357 |
| top5_acc 0.9060 |
| 2025-05-15 21:36:04,060 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:36:04,069 - pyskl - INFO - |
| mean_acc 0.6369 |
| 2025-05-15 21:36:04,072 - pyskl - INFO - Epoch(val) [63][413] top1_acc: 0.6357, top5_acc: 0.9060, mean_class_accuracy: 0.6369 |
| 2025-05-15 21:37:08,304 - pyskl - INFO - Epoch [64][100/1027] lr: 1.558e-02, eta: 9:40:01, time: 0.642, data_time: 0.266, memory: 7959, top1_acc: 0.6225, top5_acc: 0.8706, loss_cls: 5.8524, loss: 5.8524 |
| 2025-05-15 21:37:45,873 - pyskl - INFO - Epoch [64][200/1027] lr: 1.556e-02, eta: 9:39:20, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8644, loss_cls: 5.9288, loss: 5.9288 |
| 2025-05-15 21:38:23,270 - pyskl - INFO - Epoch [64][300/1027] lr: 1.553e-02, eta: 9:38:39, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5950, top5_acc: 0.8438, loss_cls: 5.9811, loss: 5.9811 |
| 2025-05-15 21:39:01,050 - pyskl - INFO - Epoch [64][400/1027] lr: 1.551e-02, eta: 9:37:58, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6169, top5_acc: 0.8650, loss_cls: 5.8757, loss: 5.8757 |
| 2025-05-15 21:39:38,641 - pyskl - INFO - Epoch [64][500/1027] lr: 1.549e-02, eta: 9:37:17, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6306, top5_acc: 0.8675, loss_cls: 5.8431, loss: 5.8431 |
| 2025-05-15 21:40:16,052 - pyskl - INFO - Epoch [64][600/1027] lr: 1.546e-02, eta: 9:36:36, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6112, top5_acc: 0.8644, loss_cls: 5.8931, loss: 5.8931 |
| 2025-05-15 21:40:53,328 - pyskl - INFO - Epoch [64][700/1027] lr: 1.544e-02, eta: 9:35:55, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6100, top5_acc: 0.8575, loss_cls: 5.8889, loss: 5.8889 |
| 2025-05-15 21:41:30,763 - pyskl - INFO - Epoch [64][800/1027] lr: 1.541e-02, eta: 9:35:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5962, top5_acc: 0.8588, loss_cls: 5.9257, loss: 5.9257 |
| 2025-05-15 21:42:08,085 - pyskl - INFO - Epoch [64][900/1027] lr: 1.539e-02, eta: 9:34:33, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8556, loss_cls: 5.9812, loss: 5.9812 |
| 2025-05-15 21:42:46,882 - pyskl - INFO - Epoch [64][1000/1027] lr: 1.536e-02, eta: 9:33:53, time: 0.388, data_time: 0.000, memory: 7959, top1_acc: 0.6119, top5_acc: 0.8519, loss_cls: 5.9547, loss: 5.9547 |
| 2025-05-15 21:42:57,918 - pyskl - INFO - Saving checkpoint at 64 epochs |
| 2025-05-15 21:43:35,687 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:43:35,762 - pyskl - INFO - |
| top1_acc 0.6254 |
| top5_acc 0.8918 |
| 2025-05-15 21:43:35,762 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:43:35,771 - pyskl - INFO - |
| mean_acc 0.6249 |
| 2025-05-15 21:43:35,774 - pyskl - INFO - Epoch(val) [64][413] top1_acc: 0.6254, top5_acc: 0.8918, mean_class_accuracy: 0.6249 |
| 2025-05-15 21:44:39,453 - pyskl - INFO - Epoch [65][100/1027] lr: 1.533e-02, eta: 9:33:23, time: 0.637, data_time: 0.260, memory: 7959, top1_acc: 0.6456, top5_acc: 0.8981, loss_cls: 5.6987, loss: 5.6987 |
| 2025-05-15 21:45:16,785 - pyskl - INFO - Epoch [65][200/1027] lr: 1.530e-02, eta: 9:32:42, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6469, top5_acc: 0.8744, loss_cls: 5.6341, loss: 5.6341 |
| 2025-05-15 21:45:54,324 - pyskl - INFO - Epoch [65][300/1027] lr: 1.528e-02, eta: 9:32:01, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8656, loss_cls: 5.7947, loss: 5.7947 |
| 2025-05-15 21:46:31,655 - pyskl - INFO - Epoch [65][400/1027] lr: 1.526e-02, eta: 9:31:20, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6156, top5_acc: 0.8556, loss_cls: 5.8427, loss: 5.8427 |
| 2025-05-15 21:47:09,235 - pyskl - INFO - Epoch [65][500/1027] lr: 1.523e-02, eta: 9:30:39, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6288, top5_acc: 0.8669, loss_cls: 5.9483, loss: 5.9483 |
| 2025-05-15 21:47:46,753 - pyskl - INFO - Epoch [65][600/1027] lr: 1.521e-02, eta: 9:29:58, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6194, top5_acc: 0.8631, loss_cls: 5.7776, loss: 5.7776 |
| 2025-05-15 21:48:24,224 - pyskl - INFO - Epoch [65][700/1027] lr: 1.518e-02, eta: 9:29:17, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6144, top5_acc: 0.8519, loss_cls: 5.8253, loss: 5.8253 |
| 2025-05-15 21:49:01,671 - pyskl - INFO - Epoch [65][800/1027] lr: 1.516e-02, eta: 9:28:36, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5962, top5_acc: 0.8525, loss_cls: 5.9416, loss: 5.9416 |
| 2025-05-15 21:49:38,843 - pyskl - INFO - Epoch [65][900/1027] lr: 1.513e-02, eta: 9:27:54, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6081, top5_acc: 0.8581, loss_cls: 5.9668, loss: 5.9668 |
| 2025-05-15 21:50:16,192 - pyskl - INFO - Epoch [65][1000/1027] lr: 1.511e-02, eta: 9:27:13, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6162, top5_acc: 0.8631, loss_cls: 5.8723, loss: 5.8723 |
| 2025-05-15 21:50:27,251 - pyskl - INFO - Saving checkpoint at 65 epochs |
| 2025-05-15 21:51:04,876 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:51:04,952 - pyskl - INFO - |
| top1_acc 0.6316 |
| top5_acc 0.8979 |
| 2025-05-15 21:51:04,952 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:51:04,960 - pyskl - INFO - |
| mean_acc 0.6300 |
| 2025-05-15 21:51:04,962 - pyskl - INFO - Epoch(val) [65][413] top1_acc: 0.6316, top5_acc: 0.8979, mean_class_accuracy: 0.6300 |
| 2025-05-15 21:52:09,776 - pyskl - INFO - Epoch [66][100/1027] lr: 1.507e-02, eta: 9:26:44, time: 0.648, data_time: 0.272, memory: 7959, top1_acc: 0.6381, top5_acc: 0.8856, loss_cls: 5.7330, loss: 5.7330 |
| 2025-05-15 21:52:47,413 - pyskl - INFO - Epoch [66][200/1027] lr: 1.505e-02, eta: 9:26:03, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6594, top5_acc: 0.8869, loss_cls: 5.6720, loss: 5.6720 |
| 2025-05-15 21:53:24,696 - pyskl - INFO - Epoch [66][300/1027] lr: 1.502e-02, eta: 9:25:22, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6338, top5_acc: 0.8675, loss_cls: 5.8442, loss: 5.8442 |
| 2025-05-15 21:54:02,228 - pyskl - INFO - Epoch [66][400/1027] lr: 1.500e-02, eta: 9:24:41, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6350, top5_acc: 0.8531, loss_cls: 5.7854, loss: 5.7854 |
| 2025-05-15 21:54:39,732 - pyskl - INFO - Epoch [66][500/1027] lr: 1.497e-02, eta: 9:24:00, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.5975, top5_acc: 0.8406, loss_cls: 6.1242, loss: 6.1242 |
| 2025-05-15 21:55:17,056 - pyskl - INFO - Epoch [66][600/1027] lr: 1.495e-02, eta: 9:23:19, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6188, top5_acc: 0.8656, loss_cls: 5.8891, loss: 5.8891 |
| 2025-05-15 21:55:54,536 - pyskl - INFO - Epoch [66][700/1027] lr: 1.492e-02, eta: 9:22:38, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6300, top5_acc: 0.8712, loss_cls: 5.7577, loss: 5.7577 |
| 2025-05-15 21:56:31,823 - pyskl - INFO - Epoch [66][800/1027] lr: 1.490e-02, eta: 9:21:57, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6306, top5_acc: 0.8625, loss_cls: 5.7591, loss: 5.7591 |
| 2025-05-15 21:57:09,144 - pyskl - INFO - Epoch [66][900/1027] lr: 1.487e-02, eta: 9:21:16, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.5900, top5_acc: 0.8619, loss_cls: 5.9532, loss: 5.9532 |
| 2025-05-15 21:57:46,533 - pyskl - INFO - Epoch [66][1000/1027] lr: 1.485e-02, eta: 9:20:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.5975, top5_acc: 0.8488, loss_cls: 6.0005, loss: 6.0005 |
| 2025-05-15 21:57:57,340 - pyskl - INFO - Saving checkpoint at 66 epochs |
| 2025-05-15 21:58:35,463 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 21:58:35,535 - pyskl - INFO - |
| top1_acc 0.6409 |
| top5_acc 0.9048 |
| 2025-05-15 21:58:35,535 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 21:58:35,543 - pyskl - INFO - |
| mean_acc 0.6399 |
| 2025-05-15 21:58:35,545 - pyskl - INFO - Epoch(val) [66][413] top1_acc: 0.6409, top5_acc: 0.9048, mean_class_accuracy: 0.6399 |
| 2025-05-15 21:59:40,048 - pyskl - INFO - Epoch [67][100/1027] lr: 1.482e-02, eta: 9:20:04, time: 0.645, data_time: 0.267, memory: 7959, top1_acc: 0.6256, top5_acc: 0.8750, loss_cls: 5.7751, loss: 5.7751 |
| 2025-05-15 22:00:17,237 - pyskl - INFO - Epoch [67][200/1027] lr: 1.479e-02, eta: 9:19:23, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8725, loss_cls: 5.6934, loss: 5.6934 |
| 2025-05-15 22:00:54,509 - pyskl - INFO - Epoch [67][300/1027] lr: 1.477e-02, eta: 9:18:42, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6225, top5_acc: 0.8725, loss_cls: 5.7001, loss: 5.7001 |
| 2025-05-15 22:01:31,886 - pyskl - INFO - Epoch [67][400/1027] lr: 1.474e-02, eta: 9:18:01, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8650, loss_cls: 5.7090, loss: 5.7090 |
| 2025-05-15 22:02:09,590 - pyskl - INFO - Epoch [67][500/1027] lr: 1.472e-02, eta: 9:17:20, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6300, top5_acc: 0.8550, loss_cls: 5.8378, loss: 5.8378 |
| 2025-05-15 22:02:46,904 - pyskl - INFO - Epoch [67][600/1027] lr: 1.469e-02, eta: 9:16:39, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6219, top5_acc: 0.8744, loss_cls: 5.8090, loss: 5.8090 |
| 2025-05-15 22:03:24,010 - pyskl - INFO - Epoch [67][700/1027] lr: 1.467e-02, eta: 9:15:58, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6225, top5_acc: 0.8631, loss_cls: 5.8742, loss: 5.8742 |
| 2025-05-15 22:04:01,183 - pyskl - INFO - Epoch [67][800/1027] lr: 1.464e-02, eta: 9:15:16, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6362, top5_acc: 0.8662, loss_cls: 5.7614, loss: 5.7614 |
| 2025-05-15 22:04:38,357 - pyskl - INFO - Epoch [67][900/1027] lr: 1.462e-02, eta: 9:14:35, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6300, top5_acc: 0.8762, loss_cls: 5.7279, loss: 5.7279 |
| 2025-05-15 22:05:15,681 - pyskl - INFO - Epoch [67][1000/1027] lr: 1.459e-02, eta: 9:13:54, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6325, top5_acc: 0.8712, loss_cls: 5.7778, loss: 5.7778 |
| 2025-05-15 22:05:26,506 - pyskl - INFO - Saving checkpoint at 67 epochs |
| 2025-05-15 22:06:04,357 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:06:04,428 - pyskl - INFO - |
| top1_acc 0.6309 |
| top5_acc 0.9012 |
| 2025-05-15 22:06:04,428 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:06:04,436 - pyskl - INFO - |
| mean_acc 0.6338 |
| 2025-05-15 22:06:04,438 - pyskl - INFO - Epoch(val) [67][413] top1_acc: 0.6309, top5_acc: 0.9012, mean_class_accuracy: 0.6338 |
| 2025-05-15 22:07:08,060 - pyskl - INFO - Epoch [68][100/1027] lr: 1.456e-02, eta: 9:13:22, time: 0.636, data_time: 0.262, memory: 7959, top1_acc: 0.6531, top5_acc: 0.8781, loss_cls: 5.6610, loss: 5.6610 |
| 2025-05-15 22:07:45,250 - pyskl - INFO - Epoch [68][200/1027] lr: 1.453e-02, eta: 9:12:41, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6269, top5_acc: 0.8581, loss_cls: 5.8817, loss: 5.8817 |
| 2025-05-15 22:08:22,689 - pyskl - INFO - Epoch [68][300/1027] lr: 1.451e-02, eta: 9:12:00, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6375, top5_acc: 0.8606, loss_cls: 5.8848, loss: 5.8848 |
| 2025-05-15 22:09:00,171 - pyskl - INFO - Epoch [68][400/1027] lr: 1.448e-02, eta: 9:11:19, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6388, top5_acc: 0.8669, loss_cls: 5.7448, loss: 5.7448 |
| 2025-05-15 22:09:37,522 - pyskl - INFO - Epoch [68][500/1027] lr: 1.446e-02, eta: 9:10:38, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6219, top5_acc: 0.8719, loss_cls: 5.8730, loss: 5.8730 |
| 2025-05-15 22:10:14,796 - pyskl - INFO - Epoch [68][600/1027] lr: 1.443e-02, eta: 9:09:57, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8769, loss_cls: 5.7403, loss: 5.7403 |
| 2025-05-15 22:10:52,061 - pyskl - INFO - Epoch [68][700/1027] lr: 1.441e-02, eta: 9:09:16, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8700, loss_cls: 5.9415, loss: 5.9415 |
| 2025-05-15 22:11:29,341 - pyskl - INFO - Epoch [68][800/1027] lr: 1.438e-02, eta: 9:08:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6256, top5_acc: 0.8656, loss_cls: 5.8635, loss: 5.8635 |
| 2025-05-15 22:12:06,584 - pyskl - INFO - Epoch [68][900/1027] lr: 1.436e-02, eta: 9:07:54, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6250, top5_acc: 0.8762, loss_cls: 5.7115, loss: 5.7115 |
| 2025-05-15 22:12:43,839 - pyskl - INFO - Epoch [68][1000/1027] lr: 1.433e-02, eta: 9:07:13, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6250, top5_acc: 0.8800, loss_cls: 5.7404, loss: 5.7404 |
| 2025-05-15 22:12:54,735 - pyskl - INFO - Saving checkpoint at 68 epochs |
| 2025-05-15 22:13:32,550 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:13:32,621 - pyskl - INFO - |
| top1_acc 0.6196 |
| top5_acc 0.8918 |
| 2025-05-15 22:13:32,621 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:13:32,629 - pyskl - INFO - |
| mean_acc 0.6239 |
| 2025-05-15 22:13:32,630 - pyskl - INFO - Epoch(val) [68][413] top1_acc: 0.6196, top5_acc: 0.8918, mean_class_accuracy: 0.6239 |
| 2025-05-15 22:14:36,248 - pyskl - INFO - Epoch [69][100/1027] lr: 1.430e-02, eta: 9:06:40, time: 0.636, data_time: 0.261, memory: 7959, top1_acc: 0.6544, top5_acc: 0.8938, loss_cls: 5.4997, loss: 5.4997 |
| 2025-05-15 22:15:13,792 - pyskl - INFO - Epoch [69][200/1027] lr: 1.428e-02, eta: 9:05:59, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6575, top5_acc: 0.8706, loss_cls: 5.6992, loss: 5.6992 |
| 2025-05-15 22:15:51,049 - pyskl - INFO - Epoch [69][300/1027] lr: 1.425e-02, eta: 9:05:18, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6531, top5_acc: 0.8788, loss_cls: 5.6977, loss: 5.6977 |
| 2025-05-15 22:16:28,418 - pyskl - INFO - Epoch [69][400/1027] lr: 1.423e-02, eta: 9:04:37, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6275, top5_acc: 0.8550, loss_cls: 5.8084, loss: 5.8084 |
| 2025-05-15 22:17:05,747 - pyskl - INFO - Epoch [69][500/1027] lr: 1.420e-02, eta: 9:03:57, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6294, top5_acc: 0.8712, loss_cls: 5.7934, loss: 5.7934 |
| 2025-05-15 22:17:42,954 - pyskl - INFO - Epoch [69][600/1027] lr: 1.417e-02, eta: 9:03:15, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6294, top5_acc: 0.8781, loss_cls: 5.6779, loss: 5.6779 |
| 2025-05-15 22:18:20,219 - pyskl - INFO - Epoch [69][700/1027] lr: 1.415e-02, eta: 9:02:34, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6219, top5_acc: 0.8675, loss_cls: 5.6545, loss: 5.6545 |
| 2025-05-15 22:18:57,485 - pyskl - INFO - Epoch [69][800/1027] lr: 1.412e-02, eta: 9:01:53, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8562, loss_cls: 5.8823, loss: 5.8823 |
| 2025-05-15 22:19:34,665 - pyskl - INFO - Epoch [69][900/1027] lr: 1.410e-02, eta: 9:01:12, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6006, top5_acc: 0.8631, loss_cls: 5.9050, loss: 5.9050 |
| 2025-05-15 22:20:12,132 - pyskl - INFO - Epoch [69][1000/1027] lr: 1.407e-02, eta: 9:00:32, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6294, top5_acc: 0.8631, loss_cls: 5.8034, loss: 5.8034 |
| 2025-05-15 22:20:23,367 - pyskl - INFO - Saving checkpoint at 69 epochs |
| 2025-05-15 22:21:01,744 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:21:01,825 - pyskl - INFO - |
| top1_acc 0.6553 |
| top5_acc 0.9082 |
| 2025-05-15 22:21:01,825 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:21:01,836 - pyskl - INFO - |
| mean_acc 0.6543 |
| 2025-05-15 22:21:01,897 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_60.pth was removed |
| 2025-05-15 22:21:03,631 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_69.pth. |
| 2025-05-15 22:21:03,634 - pyskl - INFO - Best top1_acc is 0.6553 at 69 epoch. |
| 2025-05-15 22:21:03,639 - pyskl - INFO - Epoch(val) [69][413] top1_acc: 0.6553, top5_acc: 0.9082, mean_class_accuracy: 0.6543 |
| 2025-05-15 22:22:08,973 - pyskl - INFO - Epoch [70][100/1027] lr: 1.404e-02, eta: 9:00:01, time: 0.653, data_time: 0.274, memory: 7959, top1_acc: 0.6587, top5_acc: 0.8900, loss_cls: 5.4485, loss: 5.4485 |
| 2025-05-15 22:22:46,534 - pyskl - INFO - Epoch [70][200/1027] lr: 1.402e-02, eta: 8:59:20, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6438, top5_acc: 0.8800, loss_cls: 5.7288, loss: 5.7288 |
| 2025-05-15 22:23:24,085 - pyskl - INFO - Epoch [70][300/1027] lr: 1.399e-02, eta: 8:58:39, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8831, loss_cls: 5.6392, loss: 5.6392 |
| 2025-05-15 22:24:01,616 - pyskl - INFO - Epoch [70][400/1027] lr: 1.397e-02, eta: 8:57:59, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6494, top5_acc: 0.8788, loss_cls: 5.6415, loss: 5.6415 |
| 2025-05-15 22:24:39,215 - pyskl - INFO - Epoch [70][500/1027] lr: 1.394e-02, eta: 8:57:18, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6444, top5_acc: 0.8788, loss_cls: 5.7205, loss: 5.7205 |
| 2025-05-15 22:25:16,475 - pyskl - INFO - Epoch [70][600/1027] lr: 1.392e-02, eta: 8:56:37, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6406, top5_acc: 0.8769, loss_cls: 5.6610, loss: 5.6610 |
| 2025-05-15 22:25:53,548 - pyskl - INFO - Epoch [70][700/1027] lr: 1.389e-02, eta: 8:55:56, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6344, top5_acc: 0.8681, loss_cls: 5.9445, loss: 5.9445 |
| 2025-05-15 22:26:30,617 - pyskl - INFO - Epoch [70][800/1027] lr: 1.386e-02, eta: 8:55:15, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8644, loss_cls: 5.9064, loss: 5.9064 |
| 2025-05-15 22:27:07,662 - pyskl - INFO - Epoch [70][900/1027] lr: 1.384e-02, eta: 8:54:33, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.6212, top5_acc: 0.8694, loss_cls: 5.8511, loss: 5.8511 |
| 2025-05-15 22:27:44,904 - pyskl - INFO - Epoch [70][1000/1027] lr: 1.381e-02, eta: 8:53:52, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6431, top5_acc: 0.8806, loss_cls: 5.6416, loss: 5.6416 |
| 2025-05-15 22:27:55,762 - pyskl - INFO - Saving checkpoint at 70 epochs |
| 2025-05-15 22:28:33,802 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:28:33,877 - pyskl - INFO - |
| top1_acc 0.6274 |
| top5_acc 0.8910 |
| 2025-05-15 22:28:33,878 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:28:33,886 - pyskl - INFO - |
| mean_acc 0.6293 |
| 2025-05-15 22:28:33,888 - pyskl - INFO - Epoch(val) [70][413] top1_acc: 0.6274, top5_acc: 0.8910, mean_class_accuracy: 0.6293 |
| 2025-05-15 22:29:39,005 - pyskl - INFO - Epoch [71][100/1027] lr: 1.378e-02, eta: 8:53:21, time: 0.651, data_time: 0.270, memory: 7959, top1_acc: 0.6669, top5_acc: 0.8862, loss_cls: 5.5145, loss: 5.5145 |
| 2025-05-15 22:30:16,550 - pyskl - INFO - Epoch [71][200/1027] lr: 1.376e-02, eta: 8:52:40, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6538, top5_acc: 0.8850, loss_cls: 5.6122, loss: 5.6122 |
| 2025-05-15 22:30:53,726 - pyskl - INFO - Epoch [71][300/1027] lr: 1.373e-02, eta: 8:51:59, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6731, top5_acc: 0.8912, loss_cls: 5.5709, loss: 5.5709 |
| 2025-05-15 22:31:31,005 - pyskl - INFO - Epoch [71][400/1027] lr: 1.371e-02, eta: 8:51:18, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6369, top5_acc: 0.8712, loss_cls: 5.7961, loss: 5.7961 |
| 2025-05-15 22:32:08,286 - pyskl - INFO - Epoch [71][500/1027] lr: 1.368e-02, eta: 8:50:37, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6631, top5_acc: 0.8800, loss_cls: 5.7014, loss: 5.7014 |
| 2025-05-15 22:32:45,465 - pyskl - INFO - Epoch [71][600/1027] lr: 1.365e-02, eta: 8:49:56, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6481, top5_acc: 0.8794, loss_cls: 5.7668, loss: 5.7668 |
| 2025-05-15 22:33:22,731 - pyskl - INFO - Epoch [71][700/1027] lr: 1.363e-02, eta: 8:49:15, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8694, loss_cls: 5.7927, loss: 5.7927 |
| 2025-05-15 22:34:00,003 - pyskl - INFO - Epoch [71][800/1027] lr: 1.360e-02, eta: 8:48:34, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8756, loss_cls: 5.7649, loss: 5.7649 |
| 2025-05-15 22:34:37,262 - pyskl - INFO - Epoch [71][900/1027] lr: 1.358e-02, eta: 8:47:53, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6319, top5_acc: 0.8838, loss_cls: 5.8257, loss: 5.8257 |
| 2025-05-15 22:35:14,488 - pyskl - INFO - Epoch [71][1000/1027] lr: 1.355e-02, eta: 8:47:12, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6231, top5_acc: 0.8600, loss_cls: 5.8721, loss: 5.8721 |
| 2025-05-15 22:35:25,365 - pyskl - INFO - Saving checkpoint at 71 epochs |
| 2025-05-15 22:36:03,760 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:36:03,831 - pyskl - INFO - |
| top1_acc 0.6578 |
| top5_acc 0.9092 |
| 2025-05-15 22:36:03,831 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:36:03,840 - pyskl - INFO - |
| mean_acc 0.6578 |
| 2025-05-15 22:36:03,909 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_69.pth was removed |
| 2025-05-15 22:36:05,621 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_71.pth. |
| 2025-05-15 22:36:05,622 - pyskl - INFO - Best top1_acc is 0.6578 at 71 epoch. |
| 2025-05-15 22:36:05,626 - pyskl - INFO - Epoch(val) [71][413] top1_acc: 0.6578, top5_acc: 0.9092, mean_class_accuracy: 0.6578 |
| 2025-05-15 22:37:09,764 - pyskl - INFO - Epoch [72][100/1027] lr: 1.352e-02, eta: 8:46:39, time: 0.641, data_time: 0.261, memory: 7959, top1_acc: 0.6600, top5_acc: 0.8825, loss_cls: 5.6596, loss: 5.6596 |
| 2025-05-15 22:37:47,146 - pyskl - INFO - Epoch [72][200/1027] lr: 1.350e-02, eta: 8:45:58, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6944, top5_acc: 0.9069, loss_cls: 5.4136, loss: 5.4136 |
| 2025-05-15 22:38:24,542 - pyskl - INFO - Epoch [72][300/1027] lr: 1.347e-02, eta: 8:45:18, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6681, top5_acc: 0.8881, loss_cls: 5.4796, loss: 5.4796 |
| 2025-05-15 22:39:01,946 - pyskl - INFO - Epoch [72][400/1027] lr: 1.344e-02, eta: 8:44:37, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6381, top5_acc: 0.8706, loss_cls: 5.8490, loss: 5.8490 |
| 2025-05-15 22:39:39,673 - pyskl - INFO - Epoch [72][500/1027] lr: 1.342e-02, eta: 8:43:57, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6412, top5_acc: 0.8756, loss_cls: 5.7575, loss: 5.7575 |
| 2025-05-15 22:40:16,987 - pyskl - INFO - Epoch [72][600/1027] lr: 1.339e-02, eta: 8:43:16, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6575, top5_acc: 0.8825, loss_cls: 5.6037, loss: 5.6037 |
| 2025-05-15 22:40:54,267 - pyskl - INFO - Epoch [72][700/1027] lr: 1.337e-02, eta: 8:42:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6350, top5_acc: 0.8619, loss_cls: 5.8104, loss: 5.8104 |
| 2025-05-15 22:41:31,666 - pyskl - INFO - Epoch [72][800/1027] lr: 1.334e-02, eta: 8:41:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8712, loss_cls: 5.8445, loss: 5.8445 |
| 2025-05-15 22:42:08,979 - pyskl - INFO - Epoch [72][900/1027] lr: 1.332e-02, eta: 8:41:13, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6481, top5_acc: 0.8856, loss_cls: 5.6000, loss: 5.6000 |
| 2025-05-15 22:42:46,270 - pyskl - INFO - Epoch [72][1000/1027] lr: 1.329e-02, eta: 8:40:33, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6506, top5_acc: 0.8762, loss_cls: 5.5332, loss: 5.5332 |
| 2025-05-15 22:42:57,313 - pyskl - INFO - Saving checkpoint at 72 epochs |
| 2025-05-15 22:43:35,113 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:43:35,183 - pyskl - INFO - |
| top1_acc 0.6542 |
| top5_acc 0.9083 |
| 2025-05-15 22:43:35,183 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:43:35,190 - pyskl - INFO - |
| mean_acc 0.6497 |
| 2025-05-15 22:43:35,191 - pyskl - INFO - Epoch(val) [72][413] top1_acc: 0.6542, top5_acc: 0.9083, mean_class_accuracy: 0.6497 |
| 2025-05-15 22:44:39,698 - pyskl - INFO - Epoch [73][100/1027] lr: 1.326e-02, eta: 8:39:59, time: 0.645, data_time: 0.268, memory: 7959, top1_acc: 0.6637, top5_acc: 0.8906, loss_cls: 5.6184, loss: 5.6184 |
| 2025-05-15 22:45:17,110 - pyskl - INFO - Epoch [73][200/1027] lr: 1.323e-02, eta: 8:39:19, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6506, top5_acc: 0.8831, loss_cls: 5.6127, loss: 5.6127 |
| 2025-05-15 22:45:54,415 - pyskl - INFO - Epoch [73][300/1027] lr: 1.321e-02, eta: 8:38:38, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6488, top5_acc: 0.8762, loss_cls: 5.6562, loss: 5.6562 |
| 2025-05-15 22:46:31,717 - pyskl - INFO - Epoch [73][400/1027] lr: 1.318e-02, eta: 8:37:57, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6587, top5_acc: 0.8912, loss_cls: 5.6411, loss: 5.6411 |
| 2025-05-15 22:47:09,252 - pyskl - INFO - Epoch [73][500/1027] lr: 1.316e-02, eta: 8:37:16, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6619, top5_acc: 0.8912, loss_cls: 5.5549, loss: 5.5549 |
| 2025-05-15 22:47:46,492 - pyskl - INFO - Epoch [73][600/1027] lr: 1.313e-02, eta: 8:36:36, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6544, top5_acc: 0.8831, loss_cls: 5.6599, loss: 5.6599 |
| 2025-05-15 22:48:23,532 - pyskl - INFO - Epoch [73][700/1027] lr: 1.311e-02, eta: 8:35:54, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.6488, top5_acc: 0.8769, loss_cls: 5.6833, loss: 5.6833 |
| 2025-05-15 22:49:00,715 - pyskl - INFO - Epoch [73][800/1027] lr: 1.308e-02, eta: 8:35:14, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6431, top5_acc: 0.8781, loss_cls: 5.7255, loss: 5.7255 |
| 2025-05-15 22:49:37,941 - pyskl - INFO - Epoch [73][900/1027] lr: 1.306e-02, eta: 8:34:33, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6675, top5_acc: 0.8975, loss_cls: 5.5002, loss: 5.5002 |
| 2025-05-15 22:50:15,367 - pyskl - INFO - Epoch [73][1000/1027] lr: 1.303e-02, eta: 8:33:52, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6538, top5_acc: 0.8756, loss_cls: 5.6127, loss: 5.6127 |
| 2025-05-15 22:50:26,317 - pyskl - INFO - Saving checkpoint at 73 epochs |
| 2025-05-15 22:51:03,912 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:51:03,982 - pyskl - INFO - |
| top1_acc 0.6365 |
| top5_acc 0.9065 |
| 2025-05-15 22:51:03,982 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:51:03,990 - pyskl - INFO - |
| mean_acc 0.6401 |
| 2025-05-15 22:51:03,991 - pyskl - INFO - Epoch(val) [73][413] top1_acc: 0.6365, top5_acc: 0.9065, mean_class_accuracy: 0.6401 |
| 2025-05-15 22:52:07,788 - pyskl - INFO - Epoch [74][100/1027] lr: 1.300e-02, eta: 8:33:18, time: 0.638, data_time: 0.261, memory: 7959, top1_acc: 0.6987, top5_acc: 0.9087, loss_cls: 5.3122, loss: 5.3122 |
| 2025-05-15 22:52:45,105 - pyskl - INFO - Epoch [74][200/1027] lr: 1.297e-02, eta: 8:32:37, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6488, top5_acc: 0.8706, loss_cls: 5.6860, loss: 5.6860 |
| 2025-05-15 22:53:22,344 - pyskl - INFO - Epoch [74][300/1027] lr: 1.295e-02, eta: 8:31:56, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6700, top5_acc: 0.8944, loss_cls: 5.4931, loss: 5.4931 |
| 2025-05-15 22:53:59,759 - pyskl - INFO - Epoch [74][400/1027] lr: 1.292e-02, eta: 8:31:15, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6519, top5_acc: 0.8850, loss_cls: 5.6404, loss: 5.6404 |
| 2025-05-15 22:54:37,072 - pyskl - INFO - Epoch [74][500/1027] lr: 1.290e-02, eta: 8:30:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6425, top5_acc: 0.8900, loss_cls: 5.6531, loss: 5.6531 |
| 2025-05-15 22:55:14,238 - pyskl - INFO - Epoch [74][600/1027] lr: 1.287e-02, eta: 8:29:54, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6581, top5_acc: 0.8881, loss_cls: 5.5107, loss: 5.5107 |
| 2025-05-15 22:55:51,356 - pyskl - INFO - Epoch [74][700/1027] lr: 1.285e-02, eta: 8:29:13, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6462, top5_acc: 0.8775, loss_cls: 5.8359, loss: 5.8359 |
| 2025-05-15 22:56:28,459 - pyskl - INFO - Epoch [74][800/1027] lr: 1.282e-02, eta: 8:28:32, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6613, top5_acc: 0.8981, loss_cls: 5.5732, loss: 5.5732 |
| 2025-05-15 22:57:05,526 - pyskl - INFO - Epoch [74][900/1027] lr: 1.279e-02, eta: 8:27:51, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6369, top5_acc: 0.8681, loss_cls: 5.7153, loss: 5.7153 |
| 2025-05-15 22:57:42,841 - pyskl - INFO - Epoch [74][1000/1027] lr: 1.277e-02, eta: 8:27:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6350, top5_acc: 0.8762, loss_cls: 5.7604, loss: 5.7604 |
| 2025-05-15 22:57:54,131 - pyskl - INFO - Saving checkpoint at 74 epochs |
| 2025-05-15 22:58:31,789 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 22:58:31,861 - pyskl - INFO - |
| top1_acc 0.6492 |
| top5_acc 0.9097 |
| 2025-05-15 22:58:31,861 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 22:58:31,870 - pyskl - INFO - |
| mean_acc 0.6519 |
| 2025-05-15 22:58:31,872 - pyskl - INFO - Epoch(val) [74][413] top1_acc: 0.6492, top5_acc: 0.9097, mean_class_accuracy: 0.6519 |
| 2025-05-15 22:59:35,190 - pyskl - INFO - Epoch [75][100/1027] lr: 1.274e-02, eta: 8:26:35, time: 0.633, data_time: 0.257, memory: 7959, top1_acc: 0.6800, top5_acc: 0.8950, loss_cls: 5.4482, loss: 5.4482 |
| 2025-05-15 23:00:12,660 - pyskl - INFO - Epoch [75][200/1027] lr: 1.271e-02, eta: 8:25:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6575, top5_acc: 0.8850, loss_cls: 5.5015, loss: 5.5015 |
| 2025-05-15 23:00:49,949 - pyskl - INFO - Epoch [75][300/1027] lr: 1.269e-02, eta: 8:25:14, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6581, top5_acc: 0.8875, loss_cls: 5.5710, loss: 5.5710 |
| 2025-05-15 23:01:27,599 - pyskl - INFO - Epoch [75][400/1027] lr: 1.266e-02, eta: 8:24:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6625, top5_acc: 0.8962, loss_cls: 5.5346, loss: 5.5346 |
| 2025-05-15 23:02:04,816 - pyskl - INFO - Epoch [75][500/1027] lr: 1.263e-02, eta: 8:23:53, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6556, top5_acc: 0.8825, loss_cls: 5.5485, loss: 5.5485 |
| 2025-05-15 23:02:42,069 - pyskl - INFO - Epoch [75][600/1027] lr: 1.261e-02, eta: 8:23:12, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6575, top5_acc: 0.8825, loss_cls: 5.5871, loss: 5.5871 |
| 2025-05-15 23:03:19,216 - pyskl - INFO - Epoch [75][700/1027] lr: 1.258e-02, eta: 8:22:31, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6650, top5_acc: 0.8938, loss_cls: 5.5198, loss: 5.5198 |
| 2025-05-15 23:03:56,458 - pyskl - INFO - Epoch [75][800/1027] lr: 1.256e-02, eta: 8:21:50, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6613, top5_acc: 0.8838, loss_cls: 5.6512, loss: 5.6512 |
| 2025-05-15 23:04:33,854 - pyskl - INFO - Epoch [75][900/1027] lr: 1.253e-02, eta: 8:21:10, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6600, top5_acc: 0.8825, loss_cls: 5.5037, loss: 5.5037 |
| 2025-05-15 23:05:11,243 - pyskl - INFO - Epoch [75][1000/1027] lr: 1.251e-02, eta: 8:20:29, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8844, loss_cls: 5.6800, loss: 5.6800 |
| 2025-05-15 23:05:22,178 - pyskl - INFO - Saving checkpoint at 75 epochs |
| 2025-05-15 23:05:59,685 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:05:59,756 - pyskl - INFO - |
| top1_acc 0.6645 |
| top5_acc 0.9127 |
| 2025-05-15 23:05:59,756 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:05:59,763 - pyskl - INFO - |
| mean_acc 0.6702 |
| 2025-05-15 23:05:59,818 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_71.pth was removed |
| 2025-05-15 23:06:01,448 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_75.pth. |
| 2025-05-15 23:06:01,449 - pyskl - INFO - Best top1_acc is 0.6645 at 75 epoch. |
| 2025-05-15 23:06:01,453 - pyskl - INFO - Epoch(val) [75][413] top1_acc: 0.6645, top5_acc: 0.9127, mean_class_accuracy: 0.6702 |
| 2025-05-15 23:07:04,777 - pyskl - INFO - Epoch [76][100/1027] lr: 1.247e-02, eta: 8:19:53, time: 0.633, data_time: 0.257, memory: 7959, top1_acc: 0.6844, top5_acc: 0.9131, loss_cls: 5.3369, loss: 5.3369 |
| 2025-05-15 23:07:42,320 - pyskl - INFO - Epoch [76][200/1027] lr: 1.245e-02, eta: 8:19:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6837, top5_acc: 0.9019, loss_cls: 5.3923, loss: 5.3923 |
| 2025-05-15 23:08:19,773 - pyskl - INFO - Epoch [76][300/1027] lr: 1.242e-02, eta: 8:18:33, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6825, top5_acc: 0.8919, loss_cls: 5.5075, loss: 5.5075 |
| 2025-05-15 23:08:57,225 - pyskl - INFO - Epoch [76][400/1027] lr: 1.240e-02, eta: 8:17:52, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6412, top5_acc: 0.8850, loss_cls: 5.5707, loss: 5.5707 |
| 2025-05-15 23:09:34,707 - pyskl - INFO - Epoch [76][500/1027] lr: 1.237e-02, eta: 8:17:12, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6556, top5_acc: 0.8856, loss_cls: 5.6700, loss: 5.6700 |
| 2025-05-15 23:10:11,951 - pyskl - INFO - Epoch [76][600/1027] lr: 1.235e-02, eta: 8:16:31, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6825, top5_acc: 0.9062, loss_cls: 5.3496, loss: 5.3496 |
| 2025-05-15 23:10:49,304 - pyskl - INFO - Epoch [76][700/1027] lr: 1.232e-02, eta: 8:15:50, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6350, top5_acc: 0.8800, loss_cls: 5.7123, loss: 5.7123 |
| 2025-05-15 23:11:26,508 - pyskl - INFO - Epoch [76][800/1027] lr: 1.230e-02, eta: 8:15:10, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8806, loss_cls: 5.5705, loss: 5.5705 |
| 2025-05-15 23:12:03,773 - pyskl - INFO - Epoch [76][900/1027] lr: 1.227e-02, eta: 8:14:29, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6400, top5_acc: 0.8662, loss_cls: 5.7045, loss: 5.7045 |
| 2025-05-15 23:12:41,336 - pyskl - INFO - Epoch [76][1000/1027] lr: 1.225e-02, eta: 8:13:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8756, loss_cls: 5.6369, loss: 5.6369 |
| 2025-05-15 23:12:52,205 - pyskl - INFO - Saving checkpoint at 76 epochs |
| 2025-05-15 23:13:29,366 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:13:29,436 - pyskl - INFO - |
| top1_acc 0.6428 |
| top5_acc 0.9015 |
| 2025-05-15 23:13:29,436 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:13:29,444 - pyskl - INFO - |
| mean_acc 0.6406 |
| 2025-05-15 23:13:29,445 - pyskl - INFO - Epoch(val) [76][413] top1_acc: 0.6428, top5_acc: 0.9015, mean_class_accuracy: 0.6406 |
| 2025-05-15 23:14:33,327 - pyskl - INFO - Epoch [77][100/1027] lr: 1.221e-02, eta: 8:13:13, time: 0.639, data_time: 0.263, memory: 7959, top1_acc: 0.7044, top5_acc: 0.8906, loss_cls: 5.4468, loss: 5.4468 |
| 2025-05-15 23:15:10,769 - pyskl - INFO - Epoch [77][200/1027] lr: 1.219e-02, eta: 8:12:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6769, top5_acc: 0.8988, loss_cls: 5.2910, loss: 5.2910 |
| 2025-05-15 23:15:48,048 - pyskl - INFO - Epoch [77][300/1027] lr: 1.216e-02, eta: 8:11:52, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6731, top5_acc: 0.8962, loss_cls: 5.5246, loss: 5.5246 |
| 2025-05-15 23:16:25,526 - pyskl - INFO - Epoch [77][400/1027] lr: 1.214e-02, eta: 8:11:11, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6694, top5_acc: 0.8912, loss_cls: 5.6450, loss: 5.6450 |
| 2025-05-15 23:17:04,547 - pyskl - INFO - Epoch [77][500/1027] lr: 1.211e-02, eta: 8:10:32, time: 0.390, data_time: 0.000, memory: 7959, top1_acc: 0.6737, top5_acc: 0.8962, loss_cls: 5.4185, loss: 5.4185 |
| 2025-05-15 23:17:42,220 - pyskl - INFO - Epoch [77][600/1027] lr: 1.209e-02, eta: 8:09:52, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8862, loss_cls: 5.5460, loss: 5.5460 |
| 2025-05-15 23:18:19,635 - pyskl - INFO - Epoch [77][700/1027] lr: 1.206e-02, eta: 8:09:12, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6675, top5_acc: 0.8919, loss_cls: 5.5292, loss: 5.5292 |
| 2025-05-15 23:18:57,064 - pyskl - INFO - Epoch [77][800/1027] lr: 1.203e-02, eta: 8:08:31, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8750, loss_cls: 5.6061, loss: 5.6061 |
| 2025-05-15 23:19:35,006 - pyskl - INFO - Epoch [77][900/1027] lr: 1.201e-02, eta: 8:07:51, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8894, loss_cls: 5.5611, loss: 5.5611 |
| 2025-05-15 23:20:13,542 - pyskl - INFO - Epoch [77][1000/1027] lr: 1.198e-02, eta: 8:07:12, time: 0.385, data_time: 0.000, memory: 7959, top1_acc: 0.6388, top5_acc: 0.8831, loss_cls: 5.6975, loss: 5.6975 |
| 2025-05-15 23:20:24,924 - pyskl - INFO - Saving checkpoint at 77 epochs |
| 2025-05-15 23:21:03,603 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:21:03,677 - pyskl - INFO - |
| top1_acc 0.6553 |
| top5_acc 0.9015 |
| 2025-05-15 23:21:03,677 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:21:03,687 - pyskl - INFO - |
| mean_acc 0.6564 |
| 2025-05-15 23:21:03,690 - pyskl - INFO - Epoch(val) [77][413] top1_acc: 0.6553, top5_acc: 0.9015, mean_class_accuracy: 0.6564 |
| 2025-05-15 23:22:09,953 - pyskl - INFO - Epoch [78][100/1027] lr: 1.195e-02, eta: 8:06:38, time: 0.663, data_time: 0.278, memory: 7959, top1_acc: 0.6756, top5_acc: 0.9006, loss_cls: 5.3913, loss: 5.3913 |
| 2025-05-15 23:22:47,301 - pyskl - INFO - Epoch [78][200/1027] lr: 1.193e-02, eta: 8:05:58, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6819, top5_acc: 0.8969, loss_cls: 5.4426, loss: 5.4426 |
| 2025-05-15 23:23:24,639 - pyskl - INFO - Epoch [78][300/1027] lr: 1.190e-02, eta: 8:05:17, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6787, top5_acc: 0.9044, loss_cls: 5.4567, loss: 5.4567 |
| 2025-05-15 23:24:02,258 - pyskl - INFO - Epoch [78][400/1027] lr: 1.187e-02, eta: 8:04:37, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6906, top5_acc: 0.8988, loss_cls: 5.3428, loss: 5.3428 |
| 2025-05-15 23:24:40,267 - pyskl - INFO - Epoch [78][500/1027] lr: 1.185e-02, eta: 8:03:57, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6406, top5_acc: 0.8856, loss_cls: 5.6348, loss: 5.6348 |
| 2025-05-15 23:25:17,484 - pyskl - INFO - Epoch [78][600/1027] lr: 1.182e-02, eta: 8:03:16, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6737, top5_acc: 0.8981, loss_cls: 5.5142, loss: 5.5142 |
| 2025-05-15 23:25:54,587 - pyskl - INFO - Epoch [78][700/1027] lr: 1.180e-02, eta: 8:02:36, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6787, top5_acc: 0.8888, loss_cls: 5.5767, loss: 5.5767 |
| 2025-05-15 23:26:31,742 - pyskl - INFO - Epoch [78][800/1027] lr: 1.177e-02, eta: 8:01:55, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6544, top5_acc: 0.8900, loss_cls: 5.5534, loss: 5.5534 |
| 2025-05-15 23:27:08,920 - pyskl - INFO - Epoch [78][900/1027] lr: 1.175e-02, eta: 8:01:14, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6719, top5_acc: 0.8819, loss_cls: 5.6375, loss: 5.6375 |
| 2025-05-15 23:27:46,168 - pyskl - INFO - Epoch [78][1000/1027] lr: 1.172e-02, eta: 8:00:34, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6706, top5_acc: 0.8881, loss_cls: 5.4309, loss: 5.4309 |
| 2025-05-15 23:27:57,165 - pyskl - INFO - Saving checkpoint at 78 epochs |
| 2025-05-15 23:28:35,408 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:28:35,483 - pyskl - INFO - |
| top1_acc 0.6662 |
| top5_acc 0.9097 |
| 2025-05-15 23:28:35,483 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:28:35,492 - pyskl - INFO - |
| mean_acc 0.6694 |
| 2025-05-15 23:28:35,562 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_75.pth was removed |
| 2025-05-15 23:28:37,354 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_78.pth. |
| 2025-05-15 23:28:37,356 - pyskl - INFO - Best top1_acc is 0.6662 at 78 epoch. |
| 2025-05-15 23:28:37,361 - pyskl - INFO - Epoch(val) [78][413] top1_acc: 0.6662, top5_acc: 0.9097, mean_class_accuracy: 0.6694 |
| 2025-05-15 23:29:41,482 - pyskl - INFO - Epoch [79][100/1027] lr: 1.169e-02, eta: 7:59:58, time: 0.641, data_time: 0.264, memory: 7959, top1_acc: 0.6975, top5_acc: 0.8988, loss_cls: 5.3543, loss: 5.3543 |
| 2025-05-15 23:30:18,862 - pyskl - INFO - Epoch [79][200/1027] lr: 1.166e-02, eta: 7:59:17, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6919, top5_acc: 0.8931, loss_cls: 5.3880, loss: 5.3880 |
| 2025-05-15 23:30:56,093 - pyskl - INFO - Epoch [79][300/1027] lr: 1.164e-02, eta: 7:58:36, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6981, top5_acc: 0.8944, loss_cls: 5.4083, loss: 5.4083 |
| 2025-05-15 23:31:33,454 - pyskl - INFO - Epoch [79][400/1027] lr: 1.161e-02, eta: 7:57:56, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6550, top5_acc: 0.9000, loss_cls: 5.5225, loss: 5.5225 |
| 2025-05-15 23:32:11,498 - pyskl - INFO - Epoch [79][500/1027] lr: 1.159e-02, eta: 7:57:16, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.6944, top5_acc: 0.9038, loss_cls: 5.3727, loss: 5.3727 |
| 2025-05-15 23:32:48,840 - pyskl - INFO - Epoch [79][600/1027] lr: 1.156e-02, eta: 7:56:36, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6644, top5_acc: 0.8912, loss_cls: 5.5748, loss: 5.5748 |
| 2025-05-15 23:33:26,266 - pyskl - INFO - Epoch [79][700/1027] lr: 1.154e-02, eta: 7:55:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8950, loss_cls: 5.4329, loss: 5.4329 |
| 2025-05-15 23:34:03,513 - pyskl - INFO - Epoch [79][800/1027] lr: 1.151e-02, eta: 7:55:15, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6813, top5_acc: 0.9019, loss_cls: 5.4348, loss: 5.4348 |
| 2025-05-15 23:34:41,033 - pyskl - INFO - Epoch [79][900/1027] lr: 1.149e-02, eta: 7:54:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6575, top5_acc: 0.8838, loss_cls: 5.6462, loss: 5.6462 |
| 2025-05-15 23:35:18,457 - pyskl - INFO - Epoch [79][1000/1027] lr: 1.146e-02, eta: 7:53:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6519, top5_acc: 0.8831, loss_cls: 5.5619, loss: 5.5619 |
| 2025-05-15 23:35:29,375 - pyskl - INFO - Saving checkpoint at 79 epochs |
| 2025-05-15 23:36:06,778 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:36:06,853 - pyskl - INFO - |
| top1_acc 0.6510 |
| top5_acc 0.9098 |
| 2025-05-15 23:36:06,853 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:36:06,862 - pyskl - INFO - |
| mean_acc 0.6496 |
| 2025-05-15 23:36:06,863 - pyskl - INFO - Epoch(val) [79][413] top1_acc: 0.6510, top5_acc: 0.9098, mean_class_accuracy: 0.6496 |
| 2025-05-15 23:37:10,373 - pyskl - INFO - Epoch [80][100/1027] lr: 1.143e-02, eta: 7:53:17, time: 0.635, data_time: 0.261, memory: 7959, top1_acc: 0.7156, top5_acc: 0.9144, loss_cls: 5.1378, loss: 5.1378 |
| 2025-05-15 23:37:47,736 - pyskl - INFO - Epoch [80][200/1027] lr: 1.140e-02, eta: 7:52:37, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7125, top5_acc: 0.9006, loss_cls: 5.2774, loss: 5.2774 |
| 2025-05-15 23:38:24,886 - pyskl - INFO - Epoch [80][300/1027] lr: 1.138e-02, eta: 7:51:56, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6887, top5_acc: 0.8988, loss_cls: 5.3672, loss: 5.3672 |
| 2025-05-15 23:39:02,358 - pyskl - INFO - Epoch [80][400/1027] lr: 1.135e-02, eta: 7:51:16, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7106, top5_acc: 0.9094, loss_cls: 5.3301, loss: 5.3301 |
| 2025-05-15 23:39:40,114 - pyskl - INFO - Epoch [80][500/1027] lr: 1.133e-02, eta: 7:50:35, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.6825, top5_acc: 0.9044, loss_cls: 5.3980, loss: 5.3980 |
| 2025-05-15 23:40:16,819 - pyskl - INFO - Epoch [80][600/1027] lr: 1.130e-02, eta: 7:49:54, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.6669, top5_acc: 0.8912, loss_cls: 5.4972, loss: 5.4972 |
| 2025-05-15 23:40:53,464 - pyskl - INFO - Epoch [80][700/1027] lr: 1.128e-02, eta: 7:49:13, time: 0.366, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8981, loss_cls: 5.4113, loss: 5.4113 |
| 2025-05-15 23:41:30,118 - pyskl - INFO - Epoch [80][800/1027] lr: 1.125e-02, eta: 7:48:32, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.6781, top5_acc: 0.8944, loss_cls: 5.5707, loss: 5.5707 |
| 2025-05-15 23:42:06,766 - pyskl - INFO - Epoch [80][900/1027] lr: 1.123e-02, eta: 7:47:51, time: 0.366, data_time: 0.000, memory: 7959, top1_acc: 0.6844, top5_acc: 0.9050, loss_cls: 5.4199, loss: 5.4199 |
| 2025-05-15 23:42:43,893 - pyskl - INFO - Epoch [80][1000/1027] lr: 1.120e-02, eta: 7:47:11, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8825, loss_cls: 5.6797, loss: 5.6797 |
| 2025-05-15 23:42:54,986 - pyskl - INFO - Saving checkpoint at 80 epochs |
| 2025-05-15 23:43:32,386 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:43:32,459 - pyskl - INFO - |
| top1_acc 0.6684 |
| top5_acc 0.9036 |
| 2025-05-15 23:43:32,459 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:43:32,468 - pyskl - INFO - |
| mean_acc 0.6665 |
| 2025-05-15 23:43:32,527 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_78.pth was removed |
| 2025-05-15 23:43:34,178 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_80.pth. |
| 2025-05-15 23:43:34,179 - pyskl - INFO - Best top1_acc is 0.6684 at 80 epoch. |
| 2025-05-15 23:43:34,182 - pyskl - INFO - Epoch(val) [80][413] top1_acc: 0.6684, top5_acc: 0.9036, mean_class_accuracy: 0.6665 |
| 2025-05-15 23:44:37,257 - pyskl - INFO - Epoch [81][100/1027] lr: 1.117e-02, eta: 7:46:33, time: 0.631, data_time: 0.254, memory: 7959, top1_acc: 0.7462, top5_acc: 0.9294, loss_cls: 5.0377, loss: 5.0377 |
| 2025-05-15 23:45:14,714 - pyskl - INFO - Epoch [81][200/1027] lr: 1.114e-02, eta: 7:45:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7044, top5_acc: 0.9056, loss_cls: 5.2713, loss: 5.2713 |
| 2025-05-15 23:45:51,980 - pyskl - INFO - Epoch [81][300/1027] lr: 1.112e-02, eta: 7:45:12, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6975, top5_acc: 0.9062, loss_cls: 5.3549, loss: 5.3549 |
| 2025-05-15 23:46:29,403 - pyskl - INFO - Epoch [81][400/1027] lr: 1.109e-02, eta: 7:44:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8981, loss_cls: 5.5059, loss: 5.5059 |
| 2025-05-15 23:47:06,901 - pyskl - INFO - Epoch [81][500/1027] lr: 1.107e-02, eta: 7:43:52, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6794, top5_acc: 0.8931, loss_cls: 5.4430, loss: 5.4430 |
| 2025-05-15 23:47:44,252 - pyskl - INFO - Epoch [81][600/1027] lr: 1.104e-02, eta: 7:43:11, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7063, top5_acc: 0.9062, loss_cls: 5.2301, loss: 5.2301 |
| 2025-05-15 23:48:21,511 - pyskl - INFO - Epoch [81][700/1027] lr: 1.102e-02, eta: 7:42:31, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6719, top5_acc: 0.8912, loss_cls: 5.4596, loss: 5.4596 |
| 2025-05-15 23:48:59,016 - pyskl - INFO - Epoch [81][800/1027] lr: 1.099e-02, eta: 7:41:51, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6619, top5_acc: 0.8881, loss_cls: 5.4638, loss: 5.4638 |
| 2025-05-15 23:49:36,298 - pyskl - INFO - Epoch [81][900/1027] lr: 1.097e-02, eta: 7:41:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6781, top5_acc: 0.8788, loss_cls: 5.4204, loss: 5.4204 |
| 2025-05-15 23:50:13,607 - pyskl - INFO - Epoch [81][1000/1027] lr: 1.094e-02, eta: 7:40:30, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6719, top5_acc: 0.9000, loss_cls: 5.4445, loss: 5.4445 |
| 2025-05-15 23:50:24,594 - pyskl - INFO - Saving checkpoint at 81 epochs |
| 2025-05-15 23:51:01,974 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:51:02,047 - pyskl - INFO - |
| top1_acc 0.6409 |
| top5_acc 0.9004 |
| 2025-05-15 23:51:02,047 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:51:02,056 - pyskl - INFO - |
| mean_acc 0.6440 |
| 2025-05-15 23:51:02,058 - pyskl - INFO - Epoch(val) [81][413] top1_acc: 0.6409, top5_acc: 0.9004, mean_class_accuracy: 0.6440 |
| 2025-05-15 23:52:06,036 - pyskl - INFO - Epoch [82][100/1027] lr: 1.091e-02, eta: 7:39:52, time: 0.640, data_time: 0.263, memory: 7959, top1_acc: 0.7169, top5_acc: 0.9269, loss_cls: 5.2194, loss: 5.2194 |
| 2025-05-15 23:52:43,261 - pyskl - INFO - Epoch [82][200/1027] lr: 1.088e-02, eta: 7:39:12, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9075, loss_cls: 5.2824, loss: 5.2824 |
| 2025-05-15 23:53:20,242 - pyskl - INFO - Epoch [82][300/1027] lr: 1.086e-02, eta: 7:38:31, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.6931, top5_acc: 0.8981, loss_cls: 5.3732, loss: 5.3732 |
| 2025-05-15 23:53:57,677 - pyskl - INFO - Epoch [82][400/1027] lr: 1.083e-02, eta: 7:37:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6825, top5_acc: 0.9006, loss_cls: 5.3522, loss: 5.3522 |
| 2025-05-15 23:54:35,419 - pyskl - INFO - Epoch [82][500/1027] lr: 1.081e-02, eta: 7:37:11, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.6894, top5_acc: 0.9087, loss_cls: 5.4372, loss: 5.4372 |
| 2025-05-15 23:55:12,660 - pyskl - INFO - Epoch [82][600/1027] lr: 1.078e-02, eta: 7:36:31, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8912, loss_cls: 5.4913, loss: 5.4913 |
| 2025-05-15 23:55:49,842 - pyskl - INFO - Epoch [82][700/1027] lr: 1.076e-02, eta: 7:35:50, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7125, top5_acc: 0.9081, loss_cls: 5.2624, loss: 5.2624 |
| 2025-05-15 23:56:27,148 - pyskl - INFO - Epoch [82][800/1027] lr: 1.073e-02, eta: 7:35:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7106, top5_acc: 0.9113, loss_cls: 5.3230, loss: 5.3230 |
| 2025-05-15 23:57:04,439 - pyskl - INFO - Epoch [82][900/1027] lr: 1.071e-02, eta: 7:34:29, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6787, top5_acc: 0.8925, loss_cls: 5.4542, loss: 5.4542 |
| 2025-05-15 23:57:41,664 - pyskl - INFO - Epoch [82][1000/1027] lr: 1.068e-02, eta: 7:33:49, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6800, top5_acc: 0.8981, loss_cls: 5.4776, loss: 5.4776 |
| 2025-05-15 23:57:52,449 - pyskl - INFO - Saving checkpoint at 82 epochs |
| 2025-05-15 23:58:29,700 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-15 23:58:29,770 - pyskl - INFO - |
| top1_acc 0.6530 |
| top5_acc 0.8986 |
| 2025-05-15 23:58:29,771 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-15 23:58:29,778 - pyskl - INFO - |
| mean_acc 0.6528 |
| 2025-05-15 23:58:29,780 - pyskl - INFO - Epoch(val) [82][413] top1_acc: 0.6530, top5_acc: 0.8986, mean_class_accuracy: 0.6528 |
| 2025-05-15 23:59:33,538 - pyskl - INFO - Epoch [83][100/1027] lr: 1.065e-02, eta: 7:33:11, time: 0.638, data_time: 0.262, memory: 7959, top1_acc: 0.7269, top5_acc: 0.9225, loss_cls: 5.2221, loss: 5.2221 |
| 2025-05-16 00:00:10,926 - pyskl - INFO - Epoch [83][200/1027] lr: 1.062e-02, eta: 7:32:31, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6975, top5_acc: 0.9094, loss_cls: 5.2705, loss: 5.2705 |
| 2025-05-16 00:00:48,040 - pyskl - INFO - Epoch [83][300/1027] lr: 1.060e-02, eta: 7:31:50, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.7169, top5_acc: 0.9244, loss_cls: 5.2131, loss: 5.2131 |
| 2025-05-16 00:01:25,272 - pyskl - INFO - Epoch [83][400/1027] lr: 1.057e-02, eta: 7:31:10, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7369, top5_acc: 0.9044, loss_cls: 5.1405, loss: 5.1405 |
| 2025-05-16 00:02:02,787 - pyskl - INFO - Epoch [83][500/1027] lr: 1.055e-02, eta: 7:30:30, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7281, top5_acc: 0.9187, loss_cls: 5.1927, loss: 5.1927 |
| 2025-05-16 00:02:39,996 - pyskl - INFO - Epoch [83][600/1027] lr: 1.052e-02, eta: 7:29:49, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6950, top5_acc: 0.9069, loss_cls: 5.3226, loss: 5.3226 |
| 2025-05-16 00:03:16,992 - pyskl - INFO - Epoch [83][700/1027] lr: 1.050e-02, eta: 7:29:09, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.6894, top5_acc: 0.9075, loss_cls: 5.3524, loss: 5.3524 |
| 2025-05-16 00:03:54,127 - pyskl - INFO - Epoch [83][800/1027] lr: 1.047e-02, eta: 7:28:28, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6694, top5_acc: 0.9025, loss_cls: 5.4699, loss: 5.4699 |
| 2025-05-16 00:04:31,305 - pyskl - INFO - Epoch [83][900/1027] lr: 1.045e-02, eta: 7:27:48, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6737, top5_acc: 0.9000, loss_cls: 5.4257, loss: 5.4257 |
| 2025-05-16 00:05:08,535 - pyskl - INFO - Epoch [83][1000/1027] lr: 1.042e-02, eta: 7:27:07, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6700, top5_acc: 0.9044, loss_cls: 5.4362, loss: 5.4362 |
| 2025-05-16 00:05:19,404 - pyskl - INFO - Saving checkpoint at 83 epochs |
| 2025-05-16 00:05:56,288 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:05:56,357 - pyskl - INFO - |
| top1_acc 0.6503 |
| top5_acc 0.9038 |
| 2025-05-16 00:05:56,358 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:05:56,365 - pyskl - INFO - |
| mean_acc 0.6499 |
| 2025-05-16 00:05:56,366 - pyskl - INFO - Epoch(val) [83][413] top1_acc: 0.6503, top5_acc: 0.9038, mean_class_accuracy: 0.6499 |
| 2025-05-16 00:06:59,175 - pyskl - INFO - Epoch [84][100/1027] lr: 1.039e-02, eta: 7:26:29, time: 0.628, data_time: 0.254, memory: 7959, top1_acc: 0.7394, top5_acc: 0.9256, loss_cls: 4.9893, loss: 4.9893 |
| 2025-05-16 00:07:36,612 - pyskl - INFO - Epoch [84][200/1027] lr: 1.037e-02, eta: 7:25:48, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7188, top5_acc: 0.9144, loss_cls: 5.1839, loss: 5.1839 |
| 2025-05-16 00:08:13,840 - pyskl - INFO - Epoch [84][300/1027] lr: 1.034e-02, eta: 7:25:08, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7206, top5_acc: 0.9156, loss_cls: 5.1624, loss: 5.1624 |
| 2025-05-16 00:08:51,067 - pyskl - INFO - Epoch [84][400/1027] lr: 1.032e-02, eta: 7:24:28, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7025, top5_acc: 0.9213, loss_cls: 5.2387, loss: 5.2387 |
| 2025-05-16 00:09:28,690 - pyskl - INFO - Epoch [84][500/1027] lr: 1.029e-02, eta: 7:23:47, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.6956, top5_acc: 0.9038, loss_cls: 5.4300, loss: 5.4300 |
| 2025-05-16 00:10:06,019 - pyskl - INFO - Epoch [84][600/1027] lr: 1.026e-02, eta: 7:23:07, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6937, top5_acc: 0.9075, loss_cls: 5.2525, loss: 5.2525 |
| 2025-05-16 00:10:43,363 - pyskl - INFO - Epoch [84][700/1027] lr: 1.024e-02, eta: 7:22:27, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7037, top5_acc: 0.9056, loss_cls: 5.3057, loss: 5.3057 |
| 2025-05-16 00:11:20,817 - pyskl - INFO - Epoch [84][800/1027] lr: 1.021e-02, eta: 7:21:47, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6931, top5_acc: 0.9031, loss_cls: 5.3242, loss: 5.3242 |
| 2025-05-16 00:11:58,196 - pyskl - INFO - Epoch [84][900/1027] lr: 1.019e-02, eta: 7:21:06, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.6625, top5_acc: 0.8975, loss_cls: 5.4471, loss: 5.4471 |
| 2025-05-16 00:12:35,651 - pyskl - INFO - Epoch [84][1000/1027] lr: 1.016e-02, eta: 7:20:26, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6937, top5_acc: 0.9006, loss_cls: 5.3404, loss: 5.3404 |
| 2025-05-16 00:12:46,783 - pyskl - INFO - Saving checkpoint at 84 epochs |
| 2025-05-16 00:13:24,150 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:13:24,221 - pyskl - INFO - |
| top1_acc 0.6578 |
| top5_acc 0.9060 |
| 2025-05-16 00:13:24,222 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:13:24,230 - pyskl - INFO - |
| mean_acc 0.6585 |
| 2025-05-16 00:13:24,231 - pyskl - INFO - Epoch(val) [84][413] top1_acc: 0.6578, top5_acc: 0.9060, mean_class_accuracy: 0.6585 |
| 2025-05-16 00:14:27,084 - pyskl - INFO - Epoch [85][100/1027] lr: 1.013e-02, eta: 7:19:47, time: 0.628, data_time: 0.254, memory: 7959, top1_acc: 0.7150, top5_acc: 0.9025, loss_cls: 5.1525, loss: 5.1525 |
| 2025-05-16 00:15:04,590 - pyskl - INFO - Epoch [85][200/1027] lr: 1.011e-02, eta: 7:19:07, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7094, top5_acc: 0.9187, loss_cls: 5.2941, loss: 5.2941 |
| 2025-05-16 00:15:41,761 - pyskl - INFO - Epoch [85][300/1027] lr: 1.008e-02, eta: 7:18:27, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7244, top5_acc: 0.9131, loss_cls: 5.2093, loss: 5.2093 |
| 2025-05-16 00:16:19,015 - pyskl - INFO - Epoch [85][400/1027] lr: 1.006e-02, eta: 7:17:46, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7381, top5_acc: 0.9269, loss_cls: 5.0191, loss: 5.0191 |
| 2025-05-16 00:16:56,386 - pyskl - INFO - Epoch [85][500/1027] lr: 1.003e-02, eta: 7:17:06, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7094, top5_acc: 0.9156, loss_cls: 5.2729, loss: 5.2729 |
| 2025-05-16 00:17:33,530 - pyskl - INFO - Epoch [85][600/1027] lr: 1.001e-02, eta: 7:16:26, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.7125, top5_acc: 0.9131, loss_cls: 5.2466, loss: 5.2466 |
| 2025-05-16 00:18:10,709 - pyskl - INFO - Epoch [85][700/1027] lr: 9.983e-03, eta: 7:15:45, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6944, top5_acc: 0.9106, loss_cls: 5.2025, loss: 5.2025 |
| 2025-05-16 00:18:47,921 - pyskl - INFO - Epoch [85][800/1027] lr: 9.958e-03, eta: 7:15:05, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.6887, top5_acc: 0.9050, loss_cls: 5.4150, loss: 5.4150 |
| 2025-05-16 00:19:25,381 - pyskl - INFO - Epoch [85][900/1027] lr: 9.933e-03, eta: 7:14:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6969, top5_acc: 0.9113, loss_cls: 5.2505, loss: 5.2505 |
| 2025-05-16 00:20:02,866 - pyskl - INFO - Epoch [85][1000/1027] lr: 9.908e-03, eta: 7:13:45, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6794, top5_acc: 0.8919, loss_cls: 5.4680, loss: 5.4680 |
| 2025-05-16 00:20:13,849 - pyskl - INFO - Saving checkpoint at 85 epochs |
| 2025-05-16 00:20:51,411 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:20:51,482 - pyskl - INFO - |
| top1_acc 0.6622 |
| top5_acc 0.9132 |
| 2025-05-16 00:20:51,483 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:20:51,490 - pyskl - INFO - |
| mean_acc 0.6661 |
| 2025-05-16 00:20:51,492 - pyskl - INFO - Epoch(val) [85][413] top1_acc: 0.6622, top5_acc: 0.9132, mean_class_accuracy: 0.6661 |
| 2025-05-16 00:21:54,540 - pyskl - INFO - Epoch [86][100/1027] lr: 9.876e-03, eta: 7:13:06, time: 0.630, data_time: 0.255, memory: 7959, top1_acc: 0.7494, top5_acc: 0.9250, loss_cls: 5.0419, loss: 5.0419 |
| 2025-05-16 00:22:32,214 - pyskl - INFO - Epoch [86][200/1027] lr: 9.852e-03, eta: 7:12:26, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7262, top5_acc: 0.9200, loss_cls: 5.0962, loss: 5.0962 |
| 2025-05-16 00:23:09,413 - pyskl - INFO - Epoch [86][300/1027] lr: 9.827e-03, eta: 7:11:45, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7075, top5_acc: 0.9137, loss_cls: 5.1740, loss: 5.1740 |
| 2025-05-16 00:23:46,591 - pyskl - INFO - Epoch [86][400/1027] lr: 9.802e-03, eta: 7:11:05, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7231, top5_acc: 0.9075, loss_cls: 5.1768, loss: 5.1768 |
| 2025-05-16 00:24:23,984 - pyskl - INFO - Epoch [86][500/1027] lr: 9.777e-03, eta: 7:10:25, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7238, top5_acc: 0.9200, loss_cls: 5.1086, loss: 5.1086 |
| 2025-05-16 00:25:01,306 - pyskl - INFO - Epoch [86][600/1027] lr: 9.752e-03, eta: 7:09:45, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7231, top5_acc: 0.9156, loss_cls: 5.0894, loss: 5.0894 |
| 2025-05-16 00:25:38,385 - pyskl - INFO - Epoch [86][700/1027] lr: 9.727e-03, eta: 7:09:04, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6950, top5_acc: 0.9113, loss_cls: 5.2803, loss: 5.2803 |
| 2025-05-16 00:26:15,531 - pyskl - INFO - Epoch [86][800/1027] lr: 9.702e-03, eta: 7:08:24, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.6994, top5_acc: 0.9119, loss_cls: 5.2615, loss: 5.2615 |
| 2025-05-16 00:26:53,057 - pyskl - INFO - Epoch [86][900/1027] lr: 9.677e-03, eta: 7:07:44, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.6756, top5_acc: 0.9000, loss_cls: 5.4007, loss: 5.4007 |
| 2025-05-16 00:27:30,571 - pyskl - INFO - Epoch [86][1000/1027] lr: 9.653e-03, eta: 7:07:04, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7000, top5_acc: 0.9044, loss_cls: 5.2122, loss: 5.2122 |
| 2025-05-16 00:27:41,432 - pyskl - INFO - Saving checkpoint at 86 epochs |
| 2025-05-16 00:28:18,653 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:28:18,725 - pyskl - INFO - |
| top1_acc 0.6696 |
| top5_acc 0.9132 |
| 2025-05-16 00:28:18,725 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:28:18,734 - pyskl - INFO - |
| mean_acc 0.6728 |
| 2025-05-16 00:28:18,791 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_80.pth was removed |
| 2025-05-16 00:28:20,382 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. |
| 2025-05-16 00:28:20,383 - pyskl - INFO - Best top1_acc is 0.6696 at 86 epoch. |
| 2025-05-16 00:28:20,386 - pyskl - INFO - Epoch(val) [86][413] top1_acc: 0.6696, top5_acc: 0.9132, mean_class_accuracy: 0.6728 |
| 2025-05-16 00:29:23,182 - pyskl - INFO - Epoch [87][100/1027] lr: 9.621e-03, eta: 7:06:24, time: 0.628, data_time: 0.253, memory: 7959, top1_acc: 0.7506, top5_acc: 0.9294, loss_cls: 5.0094, loss: 5.0094 |
| 2025-05-16 00:30:00,519 - pyskl - INFO - Epoch [87][200/1027] lr: 9.596e-03, eta: 7:05:44, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7381, top5_acc: 0.9200, loss_cls: 5.1028, loss: 5.1028 |
| 2025-05-16 00:30:37,574 - pyskl - INFO - Epoch [87][300/1027] lr: 9.571e-03, eta: 7:05:03, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.7219, top5_acc: 0.9187, loss_cls: 5.2407, loss: 5.2407 |
| 2025-05-16 00:31:14,590 - pyskl - INFO - Epoch [87][400/1027] lr: 9.547e-03, eta: 7:04:23, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.7212, top5_acc: 0.9294, loss_cls: 5.0337, loss: 5.0337 |
| 2025-05-16 00:31:52,041 - pyskl - INFO - Epoch [87][500/1027] lr: 9.522e-03, eta: 7:03:43, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7275, top5_acc: 0.9169, loss_cls: 5.1646, loss: 5.1646 |
| 2025-05-16 00:32:29,218 - pyskl - INFO - Epoch [87][600/1027] lr: 9.497e-03, eta: 7:03:03, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7125, top5_acc: 0.9219, loss_cls: 5.1963, loss: 5.1963 |
| 2025-05-16 00:33:06,395 - pyskl - INFO - Epoch [87][700/1027] lr: 9.472e-03, eta: 7:02:22, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7225, top5_acc: 0.9150, loss_cls: 5.0998, loss: 5.0998 |
| 2025-05-16 00:33:43,403 - pyskl - INFO - Epoch [87][800/1027] lr: 9.448e-03, eta: 7:01:42, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9094, loss_cls: 5.1816, loss: 5.1816 |
| 2025-05-16 00:34:20,660 - pyskl - INFO - Epoch [87][900/1027] lr: 9.423e-03, eta: 7:01:02, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.6931, top5_acc: 0.9069, loss_cls: 5.3037, loss: 5.3037 |
| 2025-05-16 00:34:57,944 - pyskl - INFO - Epoch [87][1000/1027] lr: 9.398e-03, eta: 7:00:22, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7025, top5_acc: 0.9187, loss_cls: 5.2124, loss: 5.2124 |
| 2025-05-16 00:35:08,854 - pyskl - INFO - Saving checkpoint at 87 epochs |
| 2025-05-16 00:35:45,970 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:35:46,041 - pyskl - INFO - |
| top1_acc 0.6728 |
| top5_acc 0.9115 |
| 2025-05-16 00:35:46,041 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:35:46,048 - pyskl - INFO - |
| mean_acc 0.6719 |
| 2025-05-16 00:35:46,107 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_86.pth was removed |
| 2025-05-16 00:35:47,701 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. |
| 2025-05-16 00:35:47,702 - pyskl - INFO - Best top1_acc is 0.6728 at 87 epoch. |
| 2025-05-16 00:35:47,705 - pyskl - INFO - Epoch(val) [87][413] top1_acc: 0.6728, top5_acc: 0.9115, mean_class_accuracy: 0.6719 |
| 2025-05-16 00:36:50,594 - pyskl - INFO - Epoch [88][100/1027] lr: 9.367e-03, eta: 6:59:42, time: 0.629, data_time: 0.252, memory: 7959, top1_acc: 0.7431, top5_acc: 0.9331, loss_cls: 5.0127, loss: 5.0127 |
| 2025-05-16 00:37:28,097 - pyskl - INFO - Epoch [88][200/1027] lr: 9.342e-03, eta: 6:59:02, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7406, top5_acc: 0.9287, loss_cls: 5.0547, loss: 5.0547 |
| 2025-05-16 00:38:05,224 - pyskl - INFO - Epoch [88][300/1027] lr: 9.318e-03, eta: 6:58:21, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.7694, top5_acc: 0.9444, loss_cls: 4.8905, loss: 4.8905 |
| 2025-05-16 00:38:42,548 - pyskl - INFO - Epoch [88][400/1027] lr: 9.293e-03, eta: 6:57:41, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7375, top5_acc: 0.9331, loss_cls: 5.0328, loss: 5.0328 |
| 2025-05-16 00:39:19,962 - pyskl - INFO - Epoch [88][500/1027] lr: 9.268e-03, eta: 6:57:01, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7250, top5_acc: 0.9231, loss_cls: 5.1873, loss: 5.1873 |
| 2025-05-16 00:39:57,317 - pyskl - INFO - Epoch [88][600/1027] lr: 9.244e-03, eta: 6:56:21, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7344, top5_acc: 0.9237, loss_cls: 5.1628, loss: 5.1628 |
| 2025-05-16 00:40:34,630 - pyskl - INFO - Epoch [88][700/1027] lr: 9.219e-03, eta: 6:55:41, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7256, top5_acc: 0.9175, loss_cls: 5.1930, loss: 5.1930 |
| 2025-05-16 00:41:11,775 - pyskl - INFO - Epoch [88][800/1027] lr: 9.195e-03, eta: 6:55:01, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.7106, top5_acc: 0.8975, loss_cls: 5.2744, loss: 5.2744 |
| 2025-05-16 00:41:48,926 - pyskl - INFO - Epoch [88][900/1027] lr: 9.170e-03, eta: 6:54:20, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7156, top5_acc: 0.9113, loss_cls: 5.3261, loss: 5.3261 |
| 2025-05-16 00:42:26,086 - pyskl - INFO - Epoch [88][1000/1027] lr: 9.145e-03, eta: 6:53:40, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7044, top5_acc: 0.9075, loss_cls: 5.3347, loss: 5.3347 |
| 2025-05-16 00:42:37,170 - pyskl - INFO - Saving checkpoint at 88 epochs |
| 2025-05-16 00:43:14,304 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:43:14,375 - pyskl - INFO - |
| top1_acc 0.6612 |
| top5_acc 0.9068 |
| 2025-05-16 00:43:14,375 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:43:14,382 - pyskl - INFO - |
| mean_acc 0.6617 |
| 2025-05-16 00:43:14,384 - pyskl - INFO - Epoch(val) [88][413] top1_acc: 0.6612, top5_acc: 0.9068, mean_class_accuracy: 0.6617 |
| 2025-05-16 00:44:17,522 - pyskl - INFO - Epoch [89][100/1027] lr: 9.114e-03, eta: 6:53:00, time: 0.631, data_time: 0.256, memory: 7959, top1_acc: 0.7419, top5_acc: 0.9275, loss_cls: 4.9794, loss: 4.9794 |
| 2025-05-16 00:44:54,943 - pyskl - INFO - Epoch [89][200/1027] lr: 9.090e-03, eta: 6:52:20, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7550, top5_acc: 0.9219, loss_cls: 4.9079, loss: 4.9079 |
| 2025-05-16 00:45:32,045 - pyskl - INFO - Epoch [89][300/1027] lr: 9.065e-03, eta: 6:51:40, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.7556, top5_acc: 0.9331, loss_cls: 4.9054, loss: 4.9054 |
| 2025-05-16 00:46:09,211 - pyskl - INFO - Epoch [89][400/1027] lr: 9.041e-03, eta: 6:51:00, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7362, top5_acc: 0.9325, loss_cls: 5.0332, loss: 5.0332 |
| 2025-05-16 00:46:46,484 - pyskl - INFO - Epoch [89][500/1027] lr: 9.016e-03, eta: 6:50:19, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7281, top5_acc: 0.9263, loss_cls: 5.1372, loss: 5.1372 |
| 2025-05-16 00:47:23,890 - pyskl - INFO - Epoch [89][600/1027] lr: 8.992e-03, eta: 6:49:39, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7238, top5_acc: 0.9287, loss_cls: 5.2017, loss: 5.2017 |
| 2025-05-16 00:48:01,122 - pyskl - INFO - Epoch [89][700/1027] lr: 8.967e-03, eta: 6:48:59, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7125, top5_acc: 0.9100, loss_cls: 5.1455, loss: 5.1455 |
| 2025-05-16 00:48:38,269 - pyskl - INFO - Epoch [89][800/1027] lr: 8.943e-03, eta: 6:48:19, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.7231, top5_acc: 0.9213, loss_cls: 5.1321, loss: 5.1321 |
| 2025-05-16 00:49:15,570 - pyskl - INFO - Epoch [89][900/1027] lr: 8.918e-03, eta: 6:47:39, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7175, top5_acc: 0.9237, loss_cls: 5.1158, loss: 5.1158 |
| 2025-05-16 00:49:52,904 - pyskl - INFO - Epoch [89][1000/1027] lr: 8.894e-03, eta: 6:46:59, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7106, top5_acc: 0.9075, loss_cls: 5.1229, loss: 5.1229 |
| 2025-05-16 00:50:03,820 - pyskl - INFO - Saving checkpoint at 89 epochs |
| 2025-05-16 00:50:41,000 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:50:41,070 - pyskl - INFO - |
| top1_acc 0.6893 |
| top5_acc 0.9167 |
| 2025-05-16 00:50:41,071 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:50:41,078 - pyskl - INFO - |
| mean_acc 0.6891 |
| 2025-05-16 00:50:41,137 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_87.pth was removed |
| 2025-05-16 00:50:42,746 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. |
| 2025-05-16 00:50:42,748 - pyskl - INFO - Best top1_acc is 0.6893 at 89 epoch. |
| 2025-05-16 00:50:42,750 - pyskl - INFO - Epoch(val) [89][413] top1_acc: 0.6893, top5_acc: 0.9167, mean_class_accuracy: 0.6891 |
| 2025-05-16 00:51:45,648 - pyskl - INFO - Epoch [90][100/1027] lr: 8.863e-03, eta: 6:46:18, time: 0.629, data_time: 0.254, memory: 7959, top1_acc: 0.7581, top5_acc: 0.9406, loss_cls: 4.8783, loss: 4.8783 |
| 2025-05-16 00:52:23,253 - pyskl - INFO - Epoch [90][200/1027] lr: 8.839e-03, eta: 6:45:39, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7638, top5_acc: 0.9413, loss_cls: 4.9840, loss: 4.9840 |
| 2025-05-16 00:53:00,648 - pyskl - INFO - Epoch [90][300/1027] lr: 8.814e-03, eta: 6:44:59, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7256, top5_acc: 0.9294, loss_cls: 5.0770, loss: 5.0770 |
| 2025-05-16 00:53:37,913 - pyskl - INFO - Epoch [90][400/1027] lr: 8.790e-03, eta: 6:44:18, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7338, top5_acc: 0.9200, loss_cls: 5.0118, loss: 5.0118 |
| 2025-05-16 00:54:15,470 - pyskl - INFO - Epoch [90][500/1027] lr: 8.766e-03, eta: 6:43:38, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7269, top5_acc: 0.9250, loss_cls: 5.0460, loss: 5.0460 |
| 2025-05-16 00:54:52,962 - pyskl - INFO - Epoch [90][600/1027] lr: 8.741e-03, eta: 6:42:58, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7281, top5_acc: 0.9194, loss_cls: 5.0948, loss: 5.0948 |
| 2025-05-16 00:55:30,199 - pyskl - INFO - Epoch [90][700/1027] lr: 8.717e-03, eta: 6:42:18, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7369, top5_acc: 0.9213, loss_cls: 5.0591, loss: 5.0591 |
| 2025-05-16 00:56:07,448 - pyskl - INFO - Epoch [90][800/1027] lr: 8.693e-03, eta: 6:41:38, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7294, top5_acc: 0.9275, loss_cls: 5.0919, loss: 5.0919 |
| 2025-05-16 00:56:44,725 - pyskl - INFO - Epoch [90][900/1027] lr: 8.668e-03, eta: 6:40:58, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7338, top5_acc: 0.9144, loss_cls: 5.1670, loss: 5.1670 |
| 2025-05-16 00:57:21,988 - pyskl - INFO - Epoch [90][1000/1027] lr: 8.644e-03, eta: 6:40:18, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7163, top5_acc: 0.9269, loss_cls: 5.0720, loss: 5.0720 |
| 2025-05-16 00:57:32,828 - pyskl - INFO - Saving checkpoint at 90 epochs |
| 2025-05-16 00:58:09,884 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 00:58:09,955 - pyskl - INFO - |
| top1_acc 0.6721 |
| top5_acc 0.9079 |
| 2025-05-16 00:58:09,956 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 00:58:09,963 - pyskl - INFO - |
| mean_acc 0.6738 |
| 2025-05-16 00:58:09,965 - pyskl - INFO - Epoch(val) [90][413] top1_acc: 0.6721, top5_acc: 0.9079, mean_class_accuracy: 0.6738 |
| 2025-05-16 00:59:12,774 - pyskl - INFO - Epoch [91][100/1027] lr: 8.613e-03, eta: 6:39:37, time: 0.628, data_time: 0.253, memory: 7959, top1_acc: 0.7762, top5_acc: 0.9387, loss_cls: 4.8720, loss: 4.8720 |
| 2025-05-16 00:59:50,210 - pyskl - INFO - Epoch [91][200/1027] lr: 8.589e-03, eta: 6:38:57, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7269, top5_acc: 0.9350, loss_cls: 4.9576, loss: 4.9576 |
| 2025-05-16 01:00:26,817 - pyskl - INFO - Epoch [91][300/1027] lr: 8.565e-03, eta: 6:38:17, time: 0.366, data_time: 0.000, memory: 7959, top1_acc: 0.7456, top5_acc: 0.9356, loss_cls: 4.9290, loss: 4.9290 |
| 2025-05-16 01:01:04,060 - pyskl - INFO - Epoch [91][400/1027] lr: 8.541e-03, eta: 6:37:37, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7406, top5_acc: 0.9350, loss_cls: 4.9424, loss: 4.9424 |
| 2025-05-16 01:01:41,685 - pyskl - INFO - Epoch [91][500/1027] lr: 8.517e-03, eta: 6:36:57, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7431, top5_acc: 0.9300, loss_cls: 4.9212, loss: 4.9212 |
| 2025-05-16 01:02:19,189 - pyskl - INFO - Epoch [91][600/1027] lr: 8.492e-03, eta: 6:36:17, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7612, top5_acc: 0.9325, loss_cls: 5.0373, loss: 5.0373 |
| 2025-05-16 01:02:55,763 - pyskl - INFO - Epoch [91][700/1027] lr: 8.468e-03, eta: 6:35:36, time: 0.366, data_time: 0.000, memory: 7959, top1_acc: 0.7269, top5_acc: 0.9319, loss_cls: 5.1235, loss: 5.1235 |
| 2025-05-16 01:03:32,321 - pyskl - INFO - Epoch [91][800/1027] lr: 8.444e-03, eta: 6:34:56, time: 0.366, data_time: 0.000, memory: 7959, top1_acc: 0.7331, top5_acc: 0.9087, loss_cls: 5.0932, loss: 5.0932 |
| 2025-05-16 01:04:09,234 - pyskl - INFO - Epoch [91][900/1027] lr: 8.420e-03, eta: 6:34:16, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.7325, top5_acc: 0.9163, loss_cls: 5.1466, loss: 5.1466 |
| 2025-05-16 01:04:46,523 - pyskl - INFO - Epoch [91][1000/1027] lr: 8.396e-03, eta: 6:33:36, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7262, top5_acc: 0.9256, loss_cls: 5.0777, loss: 5.0777 |
| 2025-05-16 01:04:57,413 - pyskl - INFO - Saving checkpoint at 91 epochs |
| 2025-05-16 01:05:34,534 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:05:34,603 - pyskl - INFO - |
| top1_acc 0.6599 |
| top5_acc 0.9091 |
| 2025-05-16 01:05:34,603 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:05:34,610 - pyskl - INFO - |
| mean_acc 0.6619 |
| 2025-05-16 01:05:34,611 - pyskl - INFO - Epoch(val) [91][413] top1_acc: 0.6599, top5_acc: 0.9091, mean_class_accuracy: 0.6619 |
| 2025-05-16 01:06:37,463 - pyskl - INFO - Epoch [92][100/1027] lr: 8.365e-03, eta: 6:32:55, time: 0.628, data_time: 0.252, memory: 7959, top1_acc: 0.7675, top5_acc: 0.9450, loss_cls: 4.8075, loss: 4.8075 |
| 2025-05-16 01:07:15,154 - pyskl - INFO - Epoch [92][200/1027] lr: 8.341e-03, eta: 6:32:15, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7612, top5_acc: 0.9369, loss_cls: 4.9263, loss: 4.9263 |
| 2025-05-16 01:07:52,391 - pyskl - INFO - Epoch [92][300/1027] lr: 8.317e-03, eta: 6:31:35, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7694, top5_acc: 0.9387, loss_cls: 4.8885, loss: 4.8885 |
| 2025-05-16 01:08:29,649 - pyskl - INFO - Epoch [92][400/1027] lr: 8.293e-03, eta: 6:30:55, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7481, top5_acc: 0.9319, loss_cls: 5.0055, loss: 5.0055 |
| 2025-05-16 01:09:07,108 - pyskl - INFO - Epoch [92][500/1027] lr: 8.269e-03, eta: 6:30:15, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7444, top5_acc: 0.9256, loss_cls: 4.9389, loss: 4.9389 |
| 2025-05-16 01:09:44,362 - pyskl - INFO - Epoch [92][600/1027] lr: 8.245e-03, eta: 6:29:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7594, top5_acc: 0.9337, loss_cls: 5.0067, loss: 5.0067 |
| 2025-05-16 01:10:21,510 - pyskl - INFO - Epoch [92][700/1027] lr: 8.221e-03, eta: 6:28:55, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.7381, top5_acc: 0.9300, loss_cls: 5.0261, loss: 5.0261 |
| 2025-05-16 01:10:58,793 - pyskl - INFO - Epoch [92][800/1027] lr: 8.197e-03, eta: 6:28:15, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7262, top5_acc: 0.9194, loss_cls: 5.0746, loss: 5.0746 |
| 2025-05-16 01:11:36,489 - pyskl - INFO - Epoch [92][900/1027] lr: 8.173e-03, eta: 6:27:35, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7381, top5_acc: 0.9144, loss_cls: 5.0608, loss: 5.0608 |
| 2025-05-16 01:12:13,652 - pyskl - INFO - Epoch [92][1000/1027] lr: 8.150e-03, eta: 6:26:55, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7344, top5_acc: 0.9331, loss_cls: 4.9184, loss: 4.9184 |
| 2025-05-16 01:12:24,525 - pyskl - INFO - Saving checkpoint at 92 epochs |
| 2025-05-16 01:13:01,867 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:13:01,939 - pyskl - INFO - |
| top1_acc 0.6478 |
| top5_acc 0.8992 |
| 2025-05-16 01:13:01,939 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:13:01,947 - pyskl - INFO - |
| mean_acc 0.6472 |
| 2025-05-16 01:13:01,949 - pyskl - INFO - Epoch(val) [92][413] top1_acc: 0.6478, top5_acc: 0.8992, mean_class_accuracy: 0.6472 |
| 2025-05-16 01:14:04,657 - pyskl - INFO - Epoch [93][100/1027] lr: 8.119e-03, eta: 6:26:14, time: 0.627, data_time: 0.253, memory: 7959, top1_acc: 0.7750, top5_acc: 0.9463, loss_cls: 4.8414, loss: 4.8414 |
| 2025-05-16 01:14:42,225 - pyskl - INFO - Epoch [93][200/1027] lr: 8.095e-03, eta: 6:25:34, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7744, top5_acc: 0.9475, loss_cls: 4.8037, loss: 4.8037 |
| 2025-05-16 01:15:19,654 - pyskl - INFO - Epoch [93][300/1027] lr: 8.071e-03, eta: 6:24:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7588, top5_acc: 0.9331, loss_cls: 4.9170, loss: 4.9170 |
| 2025-05-16 01:15:57,185 - pyskl - INFO - Epoch [93][400/1027] lr: 8.048e-03, eta: 6:24:14, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7581, top5_acc: 0.9319, loss_cls: 4.8506, loss: 4.8506 |
| 2025-05-16 01:16:34,597 - pyskl - INFO - Epoch [93][500/1027] lr: 8.024e-03, eta: 6:23:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7475, top5_acc: 0.9344, loss_cls: 5.0041, loss: 5.0041 |
| 2025-05-16 01:17:12,273 - pyskl - INFO - Epoch [93][600/1027] lr: 8.000e-03, eta: 6:22:54, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7400, top5_acc: 0.9325, loss_cls: 4.9449, loss: 4.9449 |
| 2025-05-16 01:17:49,634 - pyskl - INFO - Epoch [93][700/1027] lr: 7.976e-03, eta: 6:22:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7369, top5_acc: 0.9200, loss_cls: 4.9978, loss: 4.9978 |
| 2025-05-16 01:18:26,873 - pyskl - INFO - Epoch [93][800/1027] lr: 7.953e-03, eta: 6:21:34, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7588, top5_acc: 0.9256, loss_cls: 5.0270, loss: 5.0270 |
| 2025-05-16 01:19:04,196 - pyskl - INFO - Epoch [93][900/1027] lr: 7.929e-03, eta: 6:20:54, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7550, top5_acc: 0.9406, loss_cls: 4.9325, loss: 4.9325 |
| 2025-05-16 01:19:41,620 - pyskl - INFO - Epoch [93][1000/1027] lr: 7.905e-03, eta: 6:20:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7281, top5_acc: 0.9325, loss_cls: 4.8963, loss: 4.8963 |
| 2025-05-16 01:19:52,551 - pyskl - INFO - Saving checkpoint at 93 epochs |
| 2025-05-16 01:20:29,638 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:20:29,710 - pyskl - INFO - |
| top1_acc 0.6769 |
| top5_acc 0.9100 |
| 2025-05-16 01:20:29,710 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:20:29,718 - pyskl - INFO - |
| mean_acc 0.6785 |
| 2025-05-16 01:20:29,719 - pyskl - INFO - Epoch(val) [93][413] top1_acc: 0.6769, top5_acc: 0.9100, mean_class_accuracy: 0.6785 |
| 2025-05-16 01:21:32,491 - pyskl - INFO - Epoch [94][100/1027] lr: 7.875e-03, eta: 6:19:33, time: 0.628, data_time: 0.253, memory: 7959, top1_acc: 0.7987, top5_acc: 0.9494, loss_cls: 4.6521, loss: 4.6521 |
| 2025-05-16 01:22:10,042 - pyskl - INFO - Epoch [94][200/1027] lr: 7.851e-03, eta: 6:18:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7794, top5_acc: 0.9456, loss_cls: 4.7484, loss: 4.7484 |
| 2025-05-16 01:22:47,408 - pyskl - INFO - Epoch [94][300/1027] lr: 7.828e-03, eta: 6:18:13, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7619, top5_acc: 0.9375, loss_cls: 4.8562, loss: 4.8562 |
| 2025-05-16 01:23:24,865 - pyskl - INFO - Epoch [94][400/1027] lr: 7.804e-03, eta: 6:17:33, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7538, top5_acc: 0.9294, loss_cls: 4.8652, loss: 4.8652 |
| 2025-05-16 01:24:02,252 - pyskl - INFO - Epoch [94][500/1027] lr: 7.780e-03, eta: 6:16:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7606, top5_acc: 0.9381, loss_cls: 4.8946, loss: 4.8946 |
| 2025-05-16 01:24:39,883 - pyskl - INFO - Epoch [94][600/1027] lr: 7.757e-03, eta: 6:16:14, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7500, top5_acc: 0.9306, loss_cls: 4.9123, loss: 4.9123 |
| 2025-05-16 01:25:17,150 - pyskl - INFO - Epoch [94][700/1027] lr: 7.733e-03, eta: 6:15:34, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7319, top5_acc: 0.9356, loss_cls: 5.0207, loss: 5.0207 |
| 2025-05-16 01:25:54,526 - pyskl - INFO - Epoch [94][800/1027] lr: 7.710e-03, eta: 6:14:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7456, top5_acc: 0.9219, loss_cls: 4.9574, loss: 4.9574 |
| 2025-05-16 01:26:31,943 - pyskl - INFO - Epoch [94][900/1027] lr: 7.686e-03, eta: 6:14:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7575, top5_acc: 0.9337, loss_cls: 4.9353, loss: 4.9353 |
| 2025-05-16 01:27:09,108 - pyskl - INFO - Epoch [94][1000/1027] lr: 7.663e-03, eta: 6:13:34, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7512, top5_acc: 0.9225, loss_cls: 4.9585, loss: 4.9585 |
| 2025-05-16 01:27:20,149 - pyskl - INFO - Saving checkpoint at 94 epochs |
| 2025-05-16 01:27:57,700 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:27:57,772 - pyskl - INFO - |
| top1_acc 0.6699 |
| top5_acc 0.9092 |
| 2025-05-16 01:27:57,772 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:27:57,780 - pyskl - INFO - |
| mean_acc 0.6695 |
| 2025-05-16 01:27:57,782 - pyskl - INFO - Epoch(val) [94][413] top1_acc: 0.6699, top5_acc: 0.9092, mean_class_accuracy: 0.6695 |
| 2025-05-16 01:29:01,135 - pyskl - INFO - Epoch [95][100/1027] lr: 7.633e-03, eta: 6:12:53, time: 0.633, data_time: 0.257, memory: 7959, top1_acc: 0.7850, top5_acc: 0.9463, loss_cls: 4.7134, loss: 4.7134 |
| 2025-05-16 01:29:38,751 - pyskl - INFO - Epoch [95][200/1027] lr: 7.609e-03, eta: 6:12:13, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7837, top5_acc: 0.9519, loss_cls: 4.7266, loss: 4.7266 |
| 2025-05-16 01:30:16,151 - pyskl - INFO - Epoch [95][300/1027] lr: 7.586e-03, eta: 6:11:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7762, top5_acc: 0.9400, loss_cls: 4.7280, loss: 4.7280 |
| 2025-05-16 01:30:53,677 - pyskl - INFO - Epoch [95][400/1027] lr: 7.562e-03, eta: 6:10:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7887, top5_acc: 0.9425, loss_cls: 4.7932, loss: 4.7932 |
| 2025-05-16 01:31:30,987 - pyskl - INFO - Epoch [95][500/1027] lr: 7.539e-03, eta: 6:10:13, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7694, top5_acc: 0.9369, loss_cls: 4.8701, loss: 4.8701 |
| 2025-05-16 01:32:08,498 - pyskl - INFO - Epoch [95][600/1027] lr: 7.516e-03, eta: 6:09:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7531, top5_acc: 0.9381, loss_cls: 4.7950, loss: 4.7950 |
| 2025-05-16 01:32:45,889 - pyskl - INFO - Epoch [95][700/1027] lr: 7.492e-03, eta: 6:08:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7369, top5_acc: 0.9437, loss_cls: 4.9125, loss: 4.9125 |
| 2025-05-16 01:33:23,385 - pyskl - INFO - Epoch [95][800/1027] lr: 7.469e-03, eta: 6:08:14, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7431, top5_acc: 0.9325, loss_cls: 4.9321, loss: 4.9321 |
| 2025-05-16 01:34:00,885 - pyskl - INFO - Epoch [95][900/1027] lr: 7.446e-03, eta: 6:07:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7562, top5_acc: 0.9331, loss_cls: 4.9012, loss: 4.9012 |
| 2025-05-16 01:34:38,473 - pyskl - INFO - Epoch [95][1000/1027] lr: 7.422e-03, eta: 6:06:54, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7606, top5_acc: 0.9331, loss_cls: 4.9393, loss: 4.9393 |
| 2025-05-16 01:34:49,340 - pyskl - INFO - Saving checkpoint at 95 epochs |
| 2025-05-16 01:35:26,983 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:35:27,054 - pyskl - INFO - |
| top1_acc 0.6933 |
| top5_acc 0.9189 |
| 2025-05-16 01:35:27,054 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:35:27,062 - pyskl - INFO - |
| mean_acc 0.6913 |
| 2025-05-16 01:35:27,120 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_89.pth was removed |
| 2025-05-16 01:35:28,846 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_95.pth. |
| 2025-05-16 01:35:28,848 - pyskl - INFO - Best top1_acc is 0.6933 at 95 epoch. |
| 2025-05-16 01:35:28,850 - pyskl - INFO - Epoch(val) [95][413] top1_acc: 0.6933, top5_acc: 0.9189, mean_class_accuracy: 0.6913 |
| 2025-05-16 01:36:31,961 - pyskl - INFO - Epoch [96][100/1027] lr: 7.393e-03, eta: 6:06:13, time: 0.631, data_time: 0.256, memory: 7959, top1_acc: 0.7794, top5_acc: 0.9456, loss_cls: 4.8090, loss: 4.8090 |
| 2025-05-16 01:37:09,403 - pyskl - INFO - Epoch [96][200/1027] lr: 7.369e-03, eta: 6:05:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7937, top5_acc: 0.9550, loss_cls: 4.5980, loss: 4.5980 |
| 2025-05-16 01:37:46,823 - pyskl - INFO - Epoch [96][300/1027] lr: 7.346e-03, eta: 6:04:53, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7881, top5_acc: 0.9463, loss_cls: 4.6548, loss: 4.6548 |
| 2025-05-16 01:38:24,356 - pyskl - INFO - Epoch [96][400/1027] lr: 7.323e-03, eta: 6:04:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7794, top5_acc: 0.9425, loss_cls: 4.8325, loss: 4.8325 |
| 2025-05-16 01:39:01,968 - pyskl - INFO - Epoch [96][500/1027] lr: 7.300e-03, eta: 6:03:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7550, top5_acc: 0.9313, loss_cls: 4.8887, loss: 4.8887 |
| 2025-05-16 01:39:39,718 - pyskl - INFO - Epoch [96][600/1027] lr: 7.277e-03, eta: 6:02:54, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7575, top5_acc: 0.9394, loss_cls: 4.9127, loss: 4.9127 |
| 2025-05-16 01:40:17,106 - pyskl - INFO - Epoch [96][700/1027] lr: 7.254e-03, eta: 6:02:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7619, top5_acc: 0.9400, loss_cls: 4.8815, loss: 4.8815 |
| 2025-05-16 01:40:54,364 - pyskl - INFO - Epoch [96][800/1027] lr: 7.230e-03, eta: 6:01:34, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7781, top5_acc: 0.9406, loss_cls: 4.7488, loss: 4.7488 |
| 2025-05-16 01:41:31,776 - pyskl - INFO - Epoch [96][900/1027] lr: 7.207e-03, eta: 6:00:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7438, top5_acc: 0.9306, loss_cls: 4.8872, loss: 4.8872 |
| 2025-05-16 01:42:09,221 - pyskl - INFO - Epoch [96][1000/1027] lr: 7.184e-03, eta: 6:00:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7594, top5_acc: 0.9413, loss_cls: 4.8946, loss: 4.8946 |
| 2025-05-16 01:42:20,078 - pyskl - INFO - Saving checkpoint at 96 epochs |
| 2025-05-16 01:42:57,529 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:42:57,601 - pyskl - INFO - |
| top1_acc 0.6960 |
| top5_acc 0.9203 |
| 2025-05-16 01:42:57,601 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:42:57,609 - pyskl - INFO - |
| mean_acc 0.6972 |
| 2025-05-16 01:42:57,667 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_95.pth was removed |
| 2025-05-16 01:42:59,317 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_96.pth. |
| 2025-05-16 01:42:59,318 - pyskl - INFO - Best top1_acc is 0.6960 at 96 epoch. |
| 2025-05-16 01:42:59,321 - pyskl - INFO - Epoch(val) [96][413] top1_acc: 0.6960, top5_acc: 0.9203, mean_class_accuracy: 0.6972 |
| 2025-05-16 01:44:02,876 - pyskl - INFO - Epoch [97][100/1027] lr: 7.155e-03, eta: 5:59:33, time: 0.635, data_time: 0.261, memory: 7959, top1_acc: 0.7919, top5_acc: 0.9506, loss_cls: 4.5670, loss: 4.5670 |
| 2025-05-16 01:44:40,746 - pyskl - INFO - Epoch [97][200/1027] lr: 7.132e-03, eta: 5:58:53, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.8156, top5_acc: 0.9575, loss_cls: 4.6222, loss: 4.6222 |
| 2025-05-16 01:45:18,481 - pyskl - INFO - Epoch [97][300/1027] lr: 7.109e-03, eta: 5:58:14, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7738, top5_acc: 0.9444, loss_cls: 4.7442, loss: 4.7442 |
| 2025-05-16 01:45:56,058 - pyskl - INFO - Epoch [97][400/1027] lr: 7.086e-03, eta: 5:57:34, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7887, top5_acc: 0.9544, loss_cls: 4.8096, loss: 4.8096 |
| 2025-05-16 01:46:33,551 - pyskl - INFO - Epoch [97][500/1027] lr: 7.063e-03, eta: 5:56:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7619, top5_acc: 0.9419, loss_cls: 4.9446, loss: 4.9446 |
| 2025-05-16 01:47:11,211 - pyskl - INFO - Epoch [97][600/1027] lr: 7.040e-03, eta: 5:56:14, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7844, top5_acc: 0.9450, loss_cls: 4.7163, loss: 4.7163 |
| 2025-05-16 01:47:48,654 - pyskl - INFO - Epoch [97][700/1027] lr: 7.017e-03, eta: 5:55:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7594, top5_acc: 0.9413, loss_cls: 4.8533, loss: 4.8533 |
| 2025-05-16 01:48:25,487 - pyskl - INFO - Epoch [97][800/1027] lr: 6.994e-03, eta: 5:54:54, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.7650, top5_acc: 0.9413, loss_cls: 4.9264, loss: 4.9264 |
| 2025-05-16 01:49:02,511 - pyskl - INFO - Epoch [97][900/1027] lr: 6.971e-03, eta: 5:54:14, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.7488, top5_acc: 0.9306, loss_cls: 4.8558, loss: 4.8558 |
| 2025-05-16 01:49:39,940 - pyskl - INFO - Epoch [97][1000/1027] lr: 6.948e-03, eta: 5:53:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7606, top5_acc: 0.9325, loss_cls: 4.8850, loss: 4.8850 |
| 2025-05-16 01:49:50,886 - pyskl - INFO - Saving checkpoint at 97 epochs |
| 2025-05-16 01:50:28,231 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:50:28,303 - pyskl - INFO - |
| top1_acc 0.6716 |
| top5_acc 0.9150 |
| 2025-05-16 01:50:28,303 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:50:28,311 - pyskl - INFO - |
| mean_acc 0.6771 |
| 2025-05-16 01:50:28,312 - pyskl - INFO - Epoch(val) [97][413] top1_acc: 0.6716, top5_acc: 0.9150, mean_class_accuracy: 0.6771 |
| 2025-05-16 01:51:31,333 - pyskl - INFO - Epoch [98][100/1027] lr: 6.919e-03, eta: 5:52:52, time: 0.630, data_time: 0.256, memory: 7959, top1_acc: 0.8137, top5_acc: 0.9519, loss_cls: 4.6629, loss: 4.6629 |
| 2025-05-16 01:52:09,465 - pyskl - INFO - Epoch [98][200/1027] lr: 6.897e-03, eta: 5:52:13, time: 0.381, data_time: 0.000, memory: 7959, top1_acc: 0.8213, top5_acc: 0.9625, loss_cls: 4.5517, loss: 4.5517 |
| 2025-05-16 01:52:47,080 - pyskl - INFO - Epoch [98][300/1027] lr: 6.874e-03, eta: 5:51:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7994, top5_acc: 0.9569, loss_cls: 4.7566, loss: 4.7566 |
| 2025-05-16 01:53:24,674 - pyskl - INFO - Epoch [98][400/1027] lr: 6.851e-03, eta: 5:50:54, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7769, top5_acc: 0.9487, loss_cls: 4.6937, loss: 4.6937 |
| 2025-05-16 01:54:02,340 - pyskl - INFO - Epoch [98][500/1027] lr: 6.828e-03, eta: 5:50:14, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7731, top5_acc: 0.9425, loss_cls: 4.8629, loss: 4.8629 |
| 2025-05-16 01:54:40,054 - pyskl - INFO - Epoch [98][600/1027] lr: 6.806e-03, eta: 5:49:34, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7819, top5_acc: 0.9463, loss_cls: 4.7470, loss: 4.7470 |
| 2025-05-16 01:55:17,798 - pyskl - INFO - Epoch [98][700/1027] lr: 6.783e-03, eta: 5:48:55, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7775, top5_acc: 0.9513, loss_cls: 4.6730, loss: 4.6730 |
| 2025-05-16 01:55:55,520 - pyskl - INFO - Epoch [98][800/1027] lr: 6.760e-03, eta: 5:48:15, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7894, top5_acc: 0.9469, loss_cls: 4.6495, loss: 4.6495 |
| 2025-05-16 01:56:33,215 - pyskl - INFO - Epoch [98][900/1027] lr: 6.738e-03, eta: 5:47:35, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.7656, top5_acc: 0.9537, loss_cls: 4.6861, loss: 4.6861 |
| 2025-05-16 01:57:10,858 - pyskl - INFO - Epoch [98][1000/1027] lr: 6.715e-03, eta: 5:46:56, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7769, top5_acc: 0.9431, loss_cls: 4.6903, loss: 4.6903 |
| 2025-05-16 01:57:21,860 - pyskl - INFO - Saving checkpoint at 98 epochs |
| 2025-05-16 01:57:59,202 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 01:57:59,273 - pyskl - INFO - |
| top1_acc 0.6868 |
| top5_acc 0.9126 |
| 2025-05-16 01:57:59,273 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 01:57:59,281 - pyskl - INFO - |
| mean_acc 0.6879 |
| 2025-05-16 01:57:59,282 - pyskl - INFO - Epoch(val) [98][413] top1_acc: 0.6868, top5_acc: 0.9126, mean_class_accuracy: 0.6879 |
| 2025-05-16 01:59:02,548 - pyskl - INFO - Epoch [99][100/1027] lr: 6.686e-03, eta: 5:46:14, time: 0.633, data_time: 0.256, memory: 7959, top1_acc: 0.8381, top5_acc: 0.9613, loss_cls: 4.3919, loss: 4.3919 |
| 2025-05-16 01:59:40,075 - pyskl - INFO - Epoch [99][200/1027] lr: 6.664e-03, eta: 5:45:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8106, top5_acc: 0.9556, loss_cls: 4.6114, loss: 4.6114 |
| 2025-05-16 02:00:17,423 - pyskl - INFO - Epoch [99][300/1027] lr: 6.641e-03, eta: 5:44:54, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7987, top5_acc: 0.9563, loss_cls: 4.7310, loss: 4.7310 |
| 2025-05-16 02:00:54,844 - pyskl - INFO - Epoch [99][400/1027] lr: 6.619e-03, eta: 5:44:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8081, top5_acc: 0.9494, loss_cls: 4.6197, loss: 4.6197 |
| 2025-05-16 02:01:32,387 - pyskl - INFO - Epoch [99][500/1027] lr: 6.596e-03, eta: 5:43:35, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7869, top5_acc: 0.9531, loss_cls: 4.6691, loss: 4.6691 |
| 2025-05-16 02:02:09,803 - pyskl - INFO - Epoch [99][600/1027] lr: 6.574e-03, eta: 5:42:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7906, top5_acc: 0.9519, loss_cls: 4.6162, loss: 4.6162 |
| 2025-05-16 02:02:46,930 - pyskl - INFO - Epoch [99][700/1027] lr: 6.551e-03, eta: 5:42:15, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.7762, top5_acc: 0.9331, loss_cls: 4.7972, loss: 4.7972 |
| 2025-05-16 02:03:24,082 - pyskl - INFO - Epoch [99][800/1027] lr: 6.529e-03, eta: 5:41:35, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.8000, top5_acc: 0.9419, loss_cls: 4.5601, loss: 4.5601 |
| 2025-05-16 02:04:01,308 - pyskl - INFO - Epoch [99][900/1027] lr: 6.507e-03, eta: 5:40:55, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7781, top5_acc: 0.9519, loss_cls: 4.8194, loss: 4.8194 |
| 2025-05-16 02:04:38,569 - pyskl - INFO - Epoch [99][1000/1027] lr: 6.484e-03, eta: 5:40:15, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.7950, top5_acc: 0.9531, loss_cls: 4.6487, loss: 4.6487 |
| 2025-05-16 02:04:49,629 - pyskl - INFO - Saving checkpoint at 99 epochs |
| 2025-05-16 02:05:27,193 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:05:27,265 - pyskl - INFO - |
| top1_acc 0.6884 |
| top5_acc 0.9133 |
| 2025-05-16 02:05:27,265 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:05:27,273 - pyskl - INFO - |
| mean_acc 0.6902 |
| 2025-05-16 02:05:27,274 - pyskl - INFO - Epoch(val) [99][413] top1_acc: 0.6884, top5_acc: 0.9133, mean_class_accuracy: 0.6902 |
| 2025-05-16 02:06:30,398 - pyskl - INFO - Epoch [100][100/1027] lr: 6.456e-03, eta: 5:39:33, time: 0.631, data_time: 0.255, memory: 7959, top1_acc: 0.8181, top5_acc: 0.9587, loss_cls: 4.5034, loss: 4.5034 |
| 2025-05-16 02:07:07,771 - pyskl - INFO - Epoch [100][200/1027] lr: 6.434e-03, eta: 5:38:53, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8381, top5_acc: 0.9681, loss_cls: 4.3516, loss: 4.3516 |
| 2025-05-16 02:07:45,242 - pyskl - INFO - Epoch [100][300/1027] lr: 6.411e-03, eta: 5:38:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8269, top5_acc: 0.9587, loss_cls: 4.4644, loss: 4.4644 |
| 2025-05-16 02:08:22,937 - pyskl - INFO - Epoch [100][400/1027] lr: 6.389e-03, eta: 5:37:34, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8069, top5_acc: 0.9569, loss_cls: 4.6772, loss: 4.6772 |
| 2025-05-16 02:09:00,951 - pyskl - INFO - Epoch [100][500/1027] lr: 6.367e-03, eta: 5:36:54, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.8050, top5_acc: 0.9531, loss_cls: 4.6231, loss: 4.6231 |
| 2025-05-16 02:09:38,370 - pyskl - INFO - Epoch [100][600/1027] lr: 6.345e-03, eta: 5:36:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7931, top5_acc: 0.9569, loss_cls: 4.6861, loss: 4.6861 |
| 2025-05-16 02:10:15,804 - pyskl - INFO - Epoch [100][700/1027] lr: 6.323e-03, eta: 5:35:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7837, top5_acc: 0.9413, loss_cls: 4.8193, loss: 4.8193 |
| 2025-05-16 02:10:53,220 - pyskl - INFO - Epoch [100][800/1027] lr: 6.300e-03, eta: 5:34:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7925, top5_acc: 0.9550, loss_cls: 4.5993, loss: 4.5993 |
| 2025-05-16 02:11:30,769 - pyskl - INFO - Epoch [100][900/1027] lr: 6.278e-03, eta: 5:34:15, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7731, top5_acc: 0.9463, loss_cls: 4.7343, loss: 4.7343 |
| 2025-05-16 02:12:08,274 - pyskl - INFO - Epoch [100][1000/1027] lr: 6.256e-03, eta: 5:33:36, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7881, top5_acc: 0.9437, loss_cls: 4.6102, loss: 4.6102 |
| 2025-05-16 02:12:19,157 - pyskl - INFO - Saving checkpoint at 100 epochs |
| 2025-05-16 02:12:56,705 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:12:56,776 - pyskl - INFO - |
| top1_acc 0.6912 |
| top5_acc 0.9142 |
| 2025-05-16 02:12:56,777 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:12:56,784 - pyskl - INFO - |
| mean_acc 0.6920 |
| 2025-05-16 02:12:56,786 - pyskl - INFO - Epoch(val) [100][413] top1_acc: 0.6912, top5_acc: 0.9142, mean_class_accuracy: 0.6920 |
| 2025-05-16 02:14:00,004 - pyskl - INFO - Epoch [101][100/1027] lr: 6.228e-03, eta: 5:32:53, time: 0.632, data_time: 0.256, memory: 7959, top1_acc: 0.8281, top5_acc: 0.9625, loss_cls: 4.4617, loss: 4.4617 |
| 2025-05-16 02:14:37,327 - pyskl - INFO - Epoch [101][200/1027] lr: 6.206e-03, eta: 5:32:13, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8119, top5_acc: 0.9606, loss_cls: 4.4322, loss: 4.4322 |
| 2025-05-16 02:15:14,622 - pyskl - INFO - Epoch [101][300/1027] lr: 6.184e-03, eta: 5:31:33, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8181, top5_acc: 0.9619, loss_cls: 4.4562, loss: 4.4562 |
| 2025-05-16 02:15:52,320 - pyskl - INFO - Epoch [101][400/1027] lr: 6.162e-03, eta: 5:30:54, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8281, top5_acc: 0.9663, loss_cls: 4.5166, loss: 4.5166 |
| 2025-05-16 02:16:29,826 - pyskl - INFO - Epoch [101][500/1027] lr: 6.140e-03, eta: 5:30:14, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8056, top5_acc: 0.9644, loss_cls: 4.5194, loss: 4.5194 |
| 2025-05-16 02:17:07,244 - pyskl - INFO - Epoch [101][600/1027] lr: 6.118e-03, eta: 5:29:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7856, top5_acc: 0.9569, loss_cls: 4.7094, loss: 4.7094 |
| 2025-05-16 02:17:44,510 - pyskl - INFO - Epoch [101][700/1027] lr: 6.096e-03, eta: 5:28:55, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8019, top5_acc: 0.9531, loss_cls: 4.6755, loss: 4.6755 |
| 2025-05-16 02:18:21,750 - pyskl - INFO - Epoch [101][800/1027] lr: 6.074e-03, eta: 5:28:15, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.7819, top5_acc: 0.9444, loss_cls: 4.6310, loss: 4.6310 |
| 2025-05-16 02:18:59,095 - pyskl - INFO - Epoch [101][900/1027] lr: 6.053e-03, eta: 5:27:35, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8075, top5_acc: 0.9569, loss_cls: 4.4927, loss: 4.4927 |
| 2025-05-16 02:19:36,648 - pyskl - INFO - Epoch [101][1000/1027] lr: 6.031e-03, eta: 5:26:55, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.7825, top5_acc: 0.9475, loss_cls: 4.7062, loss: 4.7062 |
| 2025-05-16 02:19:47,601 - pyskl - INFO - Saving checkpoint at 101 epochs |
| 2025-05-16 02:20:25,082 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:20:25,153 - pyskl - INFO - |
| top1_acc 0.6734 |
| top5_acc 0.9144 |
| 2025-05-16 02:20:25,153 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:20:25,160 - pyskl - INFO - |
| mean_acc 0.6754 |
| 2025-05-16 02:20:25,161 - pyskl - INFO - Epoch(val) [101][413] top1_acc: 0.6734, top5_acc: 0.9144, mean_class_accuracy: 0.6754 |
| 2025-05-16 02:21:27,803 - pyskl - INFO - Epoch [102][100/1027] lr: 6.003e-03, eta: 5:26:12, time: 0.626, data_time: 0.251, memory: 7959, top1_acc: 0.8231, top5_acc: 0.9650, loss_cls: 4.4160, loss: 4.4160 |
| 2025-05-16 02:22:05,361 - pyskl - INFO - Epoch [102][200/1027] lr: 5.981e-03, eta: 5:25:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8419, top5_acc: 0.9725, loss_cls: 4.4207, loss: 4.4207 |
| 2025-05-16 02:22:42,675 - pyskl - INFO - Epoch [102][300/1027] lr: 5.960e-03, eta: 5:24:53, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8313, top5_acc: 0.9712, loss_cls: 4.3188, loss: 4.3188 |
| 2025-05-16 02:23:20,096 - pyskl - INFO - Epoch [102][400/1027] lr: 5.938e-03, eta: 5:24:13, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8100, top5_acc: 0.9581, loss_cls: 4.5258, loss: 4.5258 |
| 2025-05-16 02:23:57,769 - pyskl - INFO - Epoch [102][500/1027] lr: 5.916e-03, eta: 5:23:33, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8119, top5_acc: 0.9506, loss_cls: 4.6018, loss: 4.6018 |
| 2025-05-16 02:24:35,357 - pyskl - INFO - Epoch [102][600/1027] lr: 5.895e-03, eta: 5:22:54, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8106, top5_acc: 0.9587, loss_cls: 4.5438, loss: 4.5438 |
| 2025-05-16 02:25:12,962 - pyskl - INFO - Epoch [102][700/1027] lr: 5.873e-03, eta: 5:22:14, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8275, top5_acc: 0.9613, loss_cls: 4.5474, loss: 4.5474 |
| 2025-05-16 02:25:50,329 - pyskl - INFO - Epoch [102][800/1027] lr: 5.851e-03, eta: 5:21:35, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7950, top5_acc: 0.9569, loss_cls: 4.5893, loss: 4.5893 |
| 2025-05-16 02:26:27,721 - pyskl - INFO - Epoch [102][900/1027] lr: 5.830e-03, eta: 5:20:55, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8050, top5_acc: 0.9500, loss_cls: 4.5483, loss: 4.5483 |
| 2025-05-16 02:27:05,096 - pyskl - INFO - Epoch [102][1000/1027] lr: 5.808e-03, eta: 5:20:15, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.7956, top5_acc: 0.9575, loss_cls: 4.6172, loss: 4.6172 |
| 2025-05-16 02:27:16,222 - pyskl - INFO - Saving checkpoint at 102 epochs |
| 2025-05-16 02:27:53,973 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:27:54,047 - pyskl - INFO - |
| top1_acc 0.6887 |
| top5_acc 0.9171 |
| 2025-05-16 02:27:54,047 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:27:54,056 - pyskl - INFO - |
| mean_acc 0.6872 |
| 2025-05-16 02:27:54,057 - pyskl - INFO - Epoch(val) [102][413] top1_acc: 0.6887, top5_acc: 0.9171, mean_class_accuracy: 0.6872 |
| 2025-05-16 02:28:57,374 - pyskl - INFO - Epoch [103][100/1027] lr: 5.781e-03, eta: 5:19:32, time: 0.633, data_time: 0.257, memory: 7959, top1_acc: 0.8444, top5_acc: 0.9744, loss_cls: 4.3660, loss: 4.3660 |
| 2025-05-16 02:29:34,964 - pyskl - INFO - Epoch [103][200/1027] lr: 5.759e-03, eta: 5:18:53, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8425, top5_acc: 0.9719, loss_cls: 4.3395, loss: 4.3395 |
| 2025-05-16 02:30:12,261 - pyskl - INFO - Epoch [103][300/1027] lr: 5.738e-03, eta: 5:18:13, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8319, top5_acc: 0.9594, loss_cls: 4.2748, loss: 4.2748 |
| 2025-05-16 02:30:49,482 - pyskl - INFO - Epoch [103][400/1027] lr: 5.717e-03, eta: 5:17:33, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.8287, top5_acc: 0.9675, loss_cls: 4.4760, loss: 4.4760 |
| 2025-05-16 02:31:27,020 - pyskl - INFO - Epoch [103][500/1027] lr: 5.695e-03, eta: 5:16:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8200, top5_acc: 0.9637, loss_cls: 4.4879, loss: 4.4879 |
| 2025-05-16 02:32:04,356 - pyskl - INFO - Epoch [103][600/1027] lr: 5.674e-03, eta: 5:16:14, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8250, top5_acc: 0.9531, loss_cls: 4.4758, loss: 4.4758 |
| 2025-05-16 02:32:42,039 - pyskl - INFO - Epoch [103][700/1027] lr: 5.652e-03, eta: 5:15:34, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8187, top5_acc: 0.9637, loss_cls: 4.5064, loss: 4.5064 |
| 2025-05-16 02:33:19,620 - pyskl - INFO - Epoch [103][800/1027] lr: 5.631e-03, eta: 5:14:54, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8244, top5_acc: 0.9637, loss_cls: 4.4936, loss: 4.4936 |
| 2025-05-16 02:33:57,145 - pyskl - INFO - Epoch [103][900/1027] lr: 5.610e-03, eta: 5:14:15, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.7987, top5_acc: 0.9581, loss_cls: 4.6366, loss: 4.6366 |
| 2025-05-16 02:34:34,715 - pyskl - INFO - Epoch [103][1000/1027] lr: 5.589e-03, eta: 5:13:35, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8037, top5_acc: 0.9563, loss_cls: 4.5756, loss: 4.5756 |
| 2025-05-16 02:34:45,619 - pyskl - INFO - Saving checkpoint at 103 epochs |
| 2025-05-16 02:35:23,083 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:35:23,154 - pyskl - INFO - |
| top1_acc 0.6881 |
| top5_acc 0.9156 |
| 2025-05-16 02:35:23,154 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:35:23,162 - pyskl - INFO - |
| mean_acc 0.6868 |
| 2025-05-16 02:35:23,164 - pyskl - INFO - Epoch(val) [103][413] top1_acc: 0.6881, top5_acc: 0.9156, mean_class_accuracy: 0.6868 |
| 2025-05-16 02:36:26,125 - pyskl - INFO - Epoch [104][100/1027] lr: 5.562e-03, eta: 5:12:52, time: 0.630, data_time: 0.254, memory: 7959, top1_acc: 0.8631, top5_acc: 0.9719, loss_cls: 4.3039, loss: 4.3039 |
| 2025-05-16 02:37:03,528 - pyskl - INFO - Epoch [104][200/1027] lr: 5.540e-03, eta: 5:12:12, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8544, top5_acc: 0.9706, loss_cls: 4.2428, loss: 4.2428 |
| 2025-05-16 02:37:40,978 - pyskl - INFO - Epoch [104][300/1027] lr: 5.519e-03, eta: 5:11:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8319, top5_acc: 0.9700, loss_cls: 4.3031, loss: 4.3031 |
| 2025-05-16 02:38:18,284 - pyskl - INFO - Epoch [104][400/1027] lr: 5.498e-03, eta: 5:10:53, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8313, top5_acc: 0.9656, loss_cls: 4.5197, loss: 4.5197 |
| 2025-05-16 02:38:55,803 - pyskl - INFO - Epoch [104][500/1027] lr: 5.477e-03, eta: 5:10:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8356, top5_acc: 0.9637, loss_cls: 4.4486, loss: 4.4486 |
| 2025-05-16 02:39:33,335 - pyskl - INFO - Epoch [104][600/1027] lr: 5.456e-03, eta: 5:09:34, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8106, top5_acc: 0.9644, loss_cls: 4.5833, loss: 4.5833 |
| 2025-05-16 02:40:10,802 - pyskl - INFO - Epoch [104][700/1027] lr: 5.435e-03, eta: 5:08:54, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8294, top5_acc: 0.9669, loss_cls: 4.4457, loss: 4.4457 |
| 2025-05-16 02:40:48,209 - pyskl - INFO - Epoch [104][800/1027] lr: 5.414e-03, eta: 5:08:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8256, top5_acc: 0.9650, loss_cls: 4.4896, loss: 4.4896 |
| 2025-05-16 02:41:25,668 - pyskl - INFO - Epoch [104][900/1027] lr: 5.393e-03, eta: 5:07:35, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8063, top5_acc: 0.9613, loss_cls: 4.4742, loss: 4.4742 |
| 2025-05-16 02:42:03,141 - pyskl - INFO - Epoch [104][1000/1027] lr: 5.372e-03, eta: 5:06:55, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8181, top5_acc: 0.9575, loss_cls: 4.4693, loss: 4.4693 |
| 2025-05-16 02:42:13,959 - pyskl - INFO - Saving checkpoint at 104 epochs |
| 2025-05-16 02:42:51,347 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:42:51,418 - pyskl - INFO - |
| top1_acc 0.7001 |
| top5_acc 0.9223 |
| 2025-05-16 02:42:51,418 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:42:51,426 - pyskl - INFO - |
| mean_acc 0.7044 |
| 2025-05-16 02:42:51,484 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_96.pth was removed |
| 2025-05-16 02:42:53,113 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. |
| 2025-05-16 02:42:53,115 - pyskl - INFO - Best top1_acc is 0.7001 at 104 epoch. |
| 2025-05-16 02:42:53,117 - pyskl - INFO - Epoch(val) [104][413] top1_acc: 0.7001, top5_acc: 0.9223, mean_class_accuracy: 0.7044 |
| 2025-05-16 02:43:55,888 - pyskl - INFO - Epoch [105][100/1027] lr: 5.345e-03, eta: 5:06:11, time: 0.628, data_time: 0.253, memory: 7959, top1_acc: 0.8738, top5_acc: 0.9775, loss_cls: 4.2248, loss: 4.2248 |
| 2025-05-16 02:44:33,376 - pyskl - INFO - Epoch [105][200/1027] lr: 5.324e-03, eta: 5:05:32, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8562, top5_acc: 0.9675, loss_cls: 4.3086, loss: 4.3086 |
| 2025-05-16 02:45:10,777 - pyskl - INFO - Epoch [105][300/1027] lr: 5.304e-03, eta: 5:04:52, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8419, top5_acc: 0.9725, loss_cls: 4.3244, loss: 4.3244 |
| 2025-05-16 02:45:48,230 - pyskl - INFO - Epoch [105][400/1027] lr: 5.283e-03, eta: 5:04:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8287, top5_acc: 0.9656, loss_cls: 4.4119, loss: 4.4119 |
| 2025-05-16 02:46:25,713 - pyskl - INFO - Epoch [105][500/1027] lr: 5.262e-03, eta: 5:03:33, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8363, top5_acc: 0.9688, loss_cls: 4.4400, loss: 4.4400 |
| 2025-05-16 02:47:03,343 - pyskl - INFO - Epoch [105][600/1027] lr: 5.241e-03, eta: 5:02:53, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8119, top5_acc: 0.9681, loss_cls: 4.4543, loss: 4.4543 |
| 2025-05-16 02:47:40,381 - pyskl - INFO - Epoch [105][700/1027] lr: 5.220e-03, eta: 5:02:14, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.8294, top5_acc: 0.9656, loss_cls: 4.4045, loss: 4.4045 |
| 2025-05-16 02:48:17,039 - pyskl - INFO - Epoch [105][800/1027] lr: 5.200e-03, eta: 5:01:34, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.8413, top5_acc: 0.9688, loss_cls: 4.4235, loss: 4.4235 |
| 2025-05-16 02:48:54,024 - pyskl - INFO - Epoch [105][900/1027] lr: 5.179e-03, eta: 5:00:54, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.8263, top5_acc: 0.9619, loss_cls: 4.4770, loss: 4.4770 |
| 2025-05-16 02:49:31,034 - pyskl - INFO - Epoch [105][1000/1027] lr: 5.158e-03, eta: 5:00:14, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.8250, top5_acc: 0.9594, loss_cls: 4.4765, loss: 4.4765 |
| 2025-05-16 02:49:41,753 - pyskl - INFO - Saving checkpoint at 105 epochs |
| 2025-05-16 02:50:19,363 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:50:19,434 - pyskl - INFO - |
| top1_acc 0.6890 |
| top5_acc 0.9151 |
| 2025-05-16 02:50:19,434 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:50:19,442 - pyskl - INFO - |
| mean_acc 0.6898 |
| 2025-05-16 02:50:19,443 - pyskl - INFO - Epoch(val) [105][413] top1_acc: 0.6890, top5_acc: 0.9151, mean_class_accuracy: 0.6898 |
| 2025-05-16 02:51:22,685 - pyskl - INFO - Epoch [106][100/1027] lr: 5.132e-03, eta: 4:59:30, time: 0.632, data_time: 0.257, memory: 7959, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 4.2948, loss: 4.2948 |
| 2025-05-16 02:51:59,859 - pyskl - INFO - Epoch [106][200/1027] lr: 5.112e-03, eta: 4:58:51, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.8462, top5_acc: 0.9738, loss_cls: 4.2924, loss: 4.2924 |
| 2025-05-16 02:52:37,576 - pyskl - INFO - Epoch [106][300/1027] lr: 5.091e-03, eta: 4:58:11, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8581, top5_acc: 0.9725, loss_cls: 4.3569, loss: 4.3569 |
| 2025-05-16 02:53:15,039 - pyskl - INFO - Epoch [106][400/1027] lr: 5.071e-03, eta: 4:57:32, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8413, top5_acc: 0.9725, loss_cls: 4.4109, loss: 4.4109 |
| 2025-05-16 02:53:52,636 - pyskl - INFO - Epoch [106][500/1027] lr: 5.050e-03, eta: 4:56:52, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8419, top5_acc: 0.9706, loss_cls: 4.2640, loss: 4.2640 |
| 2025-05-16 02:54:30,179 - pyskl - INFO - Epoch [106][600/1027] lr: 5.030e-03, eta: 4:56:12, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8394, top5_acc: 0.9694, loss_cls: 4.4367, loss: 4.4367 |
| 2025-05-16 02:55:07,814 - pyskl - INFO - Epoch [106][700/1027] lr: 5.009e-03, eta: 4:55:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8281, top5_acc: 0.9606, loss_cls: 4.3402, loss: 4.3402 |
| 2025-05-16 02:55:45,180 - pyskl - INFO - Epoch [106][800/1027] lr: 4.989e-03, eta: 4:54:53, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8337, top5_acc: 0.9694, loss_cls: 4.3954, loss: 4.3954 |
| 2025-05-16 02:56:22,513 - pyskl - INFO - Epoch [106][900/1027] lr: 4.969e-03, eta: 4:54:14, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8237, top5_acc: 0.9631, loss_cls: 4.3891, loss: 4.3891 |
| 2025-05-16 02:56:59,927 - pyskl - INFO - Epoch [106][1000/1027] lr: 4.948e-03, eta: 4:53:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8325, top5_acc: 0.9644, loss_cls: 4.4154, loss: 4.4154 |
| 2025-05-16 02:57:10,874 - pyskl - INFO - Saving checkpoint at 106 epochs |
| 2025-05-16 02:57:48,286 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 02:57:48,364 - pyskl - INFO - |
| top1_acc 0.6948 |
| top5_acc 0.9142 |
| 2025-05-16 02:57:48,365 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 02:57:48,373 - pyskl - INFO - |
| mean_acc 0.6955 |
| 2025-05-16 02:57:48,374 - pyskl - INFO - Epoch(val) [106][413] top1_acc: 0.6948, top5_acc: 0.9142, mean_class_accuracy: 0.6955 |
| 2025-05-16 02:58:51,174 - pyskl - INFO - Epoch [107][100/1027] lr: 4.922e-03, eta: 4:52:50, time: 0.628, data_time: 0.255, memory: 7959, top1_acc: 0.8794, top5_acc: 0.9825, loss_cls: 4.1636, loss: 4.1636 |
| 2025-05-16 02:59:28,518 - pyskl - INFO - Epoch [107][200/1027] lr: 4.902e-03, eta: 4:52:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8594, top5_acc: 0.9800, loss_cls: 4.3386, loss: 4.3386 |
| 2025-05-16 03:00:06,069 - pyskl - INFO - Epoch [107][300/1027] lr: 4.882e-03, eta: 4:51:31, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8812, top5_acc: 0.9750, loss_cls: 4.2461, loss: 4.2461 |
| 2025-05-16 03:00:43,389 - pyskl - INFO - Epoch [107][400/1027] lr: 4.862e-03, eta: 4:50:51, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8631, top5_acc: 0.9769, loss_cls: 4.2505, loss: 4.2505 |
| 2025-05-16 03:01:20,990 - pyskl - INFO - Epoch [107][500/1027] lr: 4.842e-03, eta: 4:50:12, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8550, top5_acc: 0.9669, loss_cls: 4.3900, loss: 4.3900 |
| 2025-05-16 03:01:58,670 - pyskl - INFO - Epoch [107][600/1027] lr: 4.821e-03, eta: 4:49:32, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8488, top5_acc: 0.9756, loss_cls: 4.1874, loss: 4.1874 |
| 2025-05-16 03:02:36,338 - pyskl - INFO - Epoch [107][700/1027] lr: 4.801e-03, eta: 4:48:53, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8444, top5_acc: 0.9712, loss_cls: 4.3256, loss: 4.3256 |
| 2025-05-16 03:03:13,600 - pyskl - INFO - Epoch [107][800/1027] lr: 4.781e-03, eta: 4:48:13, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8363, top5_acc: 0.9663, loss_cls: 4.2521, loss: 4.2521 |
| 2025-05-16 03:03:51,044 - pyskl - INFO - Epoch [107][900/1027] lr: 4.761e-03, eta: 4:47:34, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8387, top5_acc: 0.9675, loss_cls: 4.2811, loss: 4.2811 |
| 2025-05-16 03:04:28,414 - pyskl - INFO - Epoch [107][1000/1027] lr: 4.741e-03, eta: 4:46:54, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8419, top5_acc: 0.9688, loss_cls: 4.3193, loss: 4.3193 |
| 2025-05-16 03:04:39,409 - pyskl - INFO - Saving checkpoint at 107 epochs |
| 2025-05-16 03:05:17,265 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:05:17,341 - pyskl - INFO - |
| top1_acc 0.6875 |
| top5_acc 0.9082 |
| 2025-05-16 03:05:17,341 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:05:17,349 - pyskl - INFO - |
| mean_acc 0.6863 |
| 2025-05-16 03:05:17,350 - pyskl - INFO - Epoch(val) [107][413] top1_acc: 0.6875, top5_acc: 0.9082, mean_class_accuracy: 0.6863 |
| 2025-05-16 03:06:20,059 - pyskl - INFO - Epoch [108][100/1027] lr: 4.716e-03, eta: 4:46:10, time: 0.627, data_time: 0.254, memory: 7959, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 3.8785, loss: 3.8785 |
| 2025-05-16 03:06:57,573 - pyskl - INFO - Epoch [108][200/1027] lr: 4.696e-03, eta: 4:45:30, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8731, top5_acc: 0.9794, loss_cls: 4.0160, loss: 4.0160 |
| 2025-05-16 03:07:35,008 - pyskl - INFO - Epoch [108][300/1027] lr: 4.676e-03, eta: 4:44:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8562, top5_acc: 0.9775, loss_cls: 4.2403, loss: 4.2403 |
| 2025-05-16 03:08:12,241 - pyskl - INFO - Epoch [108][400/1027] lr: 4.656e-03, eta: 4:44:11, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.8650, top5_acc: 0.9756, loss_cls: 4.1963, loss: 4.1963 |
| 2025-05-16 03:08:49,777 - pyskl - INFO - Epoch [108][500/1027] lr: 4.636e-03, eta: 4:43:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8706, top5_acc: 0.9775, loss_cls: 4.0682, loss: 4.0682 |
| 2025-05-16 03:09:27,400 - pyskl - INFO - Epoch [108][600/1027] lr: 4.617e-03, eta: 4:42:52, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8562, top5_acc: 0.9750, loss_cls: 4.2606, loss: 4.2606 |
| 2025-05-16 03:10:05,012 - pyskl - INFO - Epoch [108][700/1027] lr: 4.597e-03, eta: 4:42:13, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8575, top5_acc: 0.9769, loss_cls: 4.3133, loss: 4.3133 |
| 2025-05-16 03:10:42,283 - pyskl - INFO - Epoch [108][800/1027] lr: 4.577e-03, eta: 4:41:33, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8538, top5_acc: 0.9725, loss_cls: 4.3717, loss: 4.3717 |
| 2025-05-16 03:11:19,618 - pyskl - INFO - Epoch [108][900/1027] lr: 4.557e-03, eta: 4:40:53, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8669, top5_acc: 0.9731, loss_cls: 4.2211, loss: 4.2211 |
| 2025-05-16 03:11:57,105 - pyskl - INFO - Epoch [108][1000/1027] lr: 4.538e-03, eta: 4:40:14, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8431, top5_acc: 0.9688, loss_cls: 4.4078, loss: 4.4078 |
| 2025-05-16 03:12:07,961 - pyskl - INFO - Saving checkpoint at 108 epochs |
| 2025-05-16 03:12:45,300 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:12:45,371 - pyskl - INFO - |
| top1_acc 0.6986 |
| top5_acc 0.9106 |
| 2025-05-16 03:12:45,371 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:12:45,378 - pyskl - INFO - |
| mean_acc 0.7004 |
| 2025-05-16 03:12:45,380 - pyskl - INFO - Epoch(val) [108][413] top1_acc: 0.6986, top5_acc: 0.9106, mean_class_accuracy: 0.7004 |
| 2025-05-16 03:13:47,748 - pyskl - INFO - Epoch [109][100/1027] lr: 4.513e-03, eta: 4:39:29, time: 0.624, data_time: 0.250, memory: 7959, top1_acc: 0.8625, top5_acc: 0.9769, loss_cls: 4.1119, loss: 4.1119 |
| 2025-05-16 03:14:25,278 - pyskl - INFO - Epoch [109][200/1027] lr: 4.493e-03, eta: 4:38:50, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8850, top5_acc: 0.9825, loss_cls: 4.0571, loss: 4.0571 |
| 2025-05-16 03:15:02,833 - pyskl - INFO - Epoch [109][300/1027] lr: 4.474e-03, eta: 4:38:10, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8856, top5_acc: 0.9838, loss_cls: 4.0639, loss: 4.0639 |
| 2025-05-16 03:15:40,285 - pyskl - INFO - Epoch [109][400/1027] lr: 4.454e-03, eta: 4:37:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8788, top5_acc: 0.9812, loss_cls: 4.1863, loss: 4.1863 |
| 2025-05-16 03:16:17,731 - pyskl - INFO - Epoch [109][500/1027] lr: 4.435e-03, eta: 4:36:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8619, top5_acc: 0.9794, loss_cls: 4.2515, loss: 4.2515 |
| 2025-05-16 03:16:55,460 - pyskl - INFO - Epoch [109][600/1027] lr: 4.415e-03, eta: 4:36:12, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8600, top5_acc: 0.9788, loss_cls: 4.1807, loss: 4.1807 |
| 2025-05-16 03:17:32,814 - pyskl - INFO - Epoch [109][700/1027] lr: 4.396e-03, eta: 4:35:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8331, top5_acc: 0.9756, loss_cls: 4.2502, loss: 4.2502 |
| 2025-05-16 03:18:10,062 - pyskl - INFO - Epoch [109][800/1027] lr: 4.376e-03, eta: 4:34:53, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.8588, top5_acc: 0.9825, loss_cls: 4.1752, loss: 4.1752 |
| 2025-05-16 03:18:47,418 - pyskl - INFO - Epoch [109][900/1027] lr: 4.357e-03, eta: 4:34:13, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8638, top5_acc: 0.9731, loss_cls: 4.2126, loss: 4.2126 |
| 2025-05-16 03:19:24,868 - pyskl - INFO - Epoch [109][1000/1027] lr: 4.338e-03, eta: 4:33:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8575, top5_acc: 0.9819, loss_cls: 4.1284, loss: 4.1284 |
| 2025-05-16 03:19:35,973 - pyskl - INFO - Saving checkpoint at 109 epochs |
| 2025-05-16 03:20:13,336 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:20:13,409 - pyskl - INFO - |
| top1_acc 0.6965 |
| top5_acc 0.9147 |
| 2025-05-16 03:20:13,409 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:20:13,417 - pyskl - INFO - |
| mean_acc 0.6971 |
| 2025-05-16 03:20:13,419 - pyskl - INFO - Epoch(val) [109][413] top1_acc: 0.6965, top5_acc: 0.9147, mean_class_accuracy: 0.6971 |
| 2025-05-16 03:21:17,230 - pyskl - INFO - Epoch [110][100/1027] lr: 4.313e-03, eta: 4:32:49, time: 0.638, data_time: 0.260, memory: 7959, top1_acc: 0.9000, top5_acc: 0.9862, loss_cls: 3.9941, loss: 3.9941 |
| 2025-05-16 03:21:54,330 - pyskl - INFO - Epoch [110][200/1027] lr: 4.294e-03, eta: 4:32:10, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.8962, top5_acc: 0.9850, loss_cls: 4.0149, loss: 4.0149 |
| 2025-05-16 03:22:31,680 - pyskl - INFO - Epoch [110][300/1027] lr: 4.275e-03, eta: 4:31:30, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8906, top5_acc: 0.9812, loss_cls: 3.9685, loss: 3.9685 |
| 2025-05-16 03:23:08,926 - pyskl - INFO - Epoch [110][400/1027] lr: 4.256e-03, eta: 4:30:50, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.8856, top5_acc: 0.9781, loss_cls: 4.0456, loss: 4.0456 |
| 2025-05-16 03:23:46,429 - pyskl - INFO - Epoch [110][500/1027] lr: 4.236e-03, eta: 4:30:11, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8619, top5_acc: 0.9694, loss_cls: 4.2557, loss: 4.2557 |
| 2025-05-16 03:24:23,989 - pyskl - INFO - Epoch [110][600/1027] lr: 4.217e-03, eta: 4:29:32, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8756, top5_acc: 0.9906, loss_cls: 4.2020, loss: 4.2020 |
| 2025-05-16 03:25:01,522 - pyskl - INFO - Epoch [110][700/1027] lr: 4.198e-03, eta: 4:28:52, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8544, top5_acc: 0.9775, loss_cls: 4.2476, loss: 4.2476 |
| 2025-05-16 03:25:38,872 - pyskl - INFO - Epoch [110][800/1027] lr: 4.179e-03, eta: 4:28:12, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 4.0650, loss: 4.0650 |
| 2025-05-16 03:26:16,271 - pyskl - INFO - Epoch [110][900/1027] lr: 4.160e-03, eta: 4:27:33, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8812, top5_acc: 0.9794, loss_cls: 4.0828, loss: 4.0828 |
| 2025-05-16 03:26:53,741 - pyskl - INFO - Epoch [110][1000/1027] lr: 4.141e-03, eta: 4:26:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8600, top5_acc: 0.9775, loss_cls: 4.1295, loss: 4.1295 |
| 2025-05-16 03:27:04,809 - pyskl - INFO - Saving checkpoint at 110 epochs |
| 2025-05-16 03:27:42,194 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:27:42,266 - pyskl - INFO - |
| top1_acc 0.6909 |
| top5_acc 0.9073 |
| 2025-05-16 03:27:42,267 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:27:42,275 - pyskl - INFO - |
| mean_acc 0.6928 |
| 2025-05-16 03:27:42,277 - pyskl - INFO - Epoch(val) [110][413] top1_acc: 0.6909, top5_acc: 0.9073, mean_class_accuracy: 0.6928 |
| 2025-05-16 03:28:44,952 - pyskl - INFO - Epoch [111][100/1027] lr: 4.117e-03, eta: 4:26:09, time: 0.627, data_time: 0.252, memory: 7959, top1_acc: 0.9019, top5_acc: 0.9862, loss_cls: 4.0128, loss: 4.0128 |
| 2025-05-16 03:29:22,522 - pyskl - INFO - Epoch [111][200/1027] lr: 4.098e-03, eta: 4:25:29, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 3.9186, loss: 3.9186 |
| 2025-05-16 03:30:00,074 - pyskl - INFO - Epoch [111][300/1027] lr: 4.079e-03, eta: 4:24:50, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.8950, top5_acc: 0.9812, loss_cls: 3.9964, loss: 3.9964 |
| 2025-05-16 03:30:37,412 - pyskl - INFO - Epoch [111][400/1027] lr: 4.061e-03, eta: 4:24:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 4.0467, loss: 4.0467 |
| 2025-05-16 03:31:14,828 - pyskl - INFO - Epoch [111][500/1027] lr: 4.042e-03, eta: 4:23:31, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.8831, top5_acc: 0.9819, loss_cls: 4.0444, loss: 4.0444 |
| 2025-05-16 03:31:52,509 - pyskl - INFO - Epoch [111][600/1027] lr: 4.023e-03, eta: 4:22:51, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 4.0449, loss: 4.0449 |
| 2025-05-16 03:32:30,337 - pyskl - INFO - Epoch [111][700/1027] lr: 4.004e-03, eta: 4:22:12, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 4.1897, loss: 4.1897 |
| 2025-05-16 03:33:07,498 - pyskl - INFO - Epoch [111][800/1027] lr: 3.986e-03, eta: 4:21:32, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 4.0967, loss: 4.0967 |
| 2025-05-16 03:33:44,793 - pyskl - INFO - Epoch [111][900/1027] lr: 3.967e-03, eta: 4:20:53, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8712, top5_acc: 0.9738, loss_cls: 4.1268, loss: 4.1268 |
| 2025-05-16 03:34:22,270 - pyskl - INFO - Epoch [111][1000/1027] lr: 3.948e-03, eta: 4:20:13, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8681, top5_acc: 0.9812, loss_cls: 4.1921, loss: 4.1921 |
| 2025-05-16 03:34:33,376 - pyskl - INFO - Saving checkpoint at 111 epochs |
| 2025-05-16 03:35:11,059 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:35:11,131 - pyskl - INFO - |
| top1_acc 0.6813 |
| top5_acc 0.9088 |
| 2025-05-16 03:35:11,131 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:35:11,138 - pyskl - INFO - |
| mean_acc 0.6873 |
| 2025-05-16 03:35:11,140 - pyskl - INFO - Epoch(val) [111][413] top1_acc: 0.6813, top5_acc: 0.9088, mean_class_accuracy: 0.6873 |
| 2025-05-16 03:36:13,985 - pyskl - INFO - Epoch [112][100/1027] lr: 3.925e-03, eta: 4:19:29, time: 0.628, data_time: 0.255, memory: 7959, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 4.0312, loss: 4.0312 |
| 2025-05-16 03:36:51,237 - pyskl - INFO - Epoch [112][200/1027] lr: 3.906e-03, eta: 4:18:49, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 3.9377, loss: 3.9377 |
| 2025-05-16 03:37:28,293 - pyskl - INFO - Epoch [112][300/1027] lr: 3.888e-03, eta: 4:18:09, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9031, top5_acc: 0.9850, loss_cls: 4.0511, loss: 4.0511 |
| 2025-05-16 03:38:05,451 - pyskl - INFO - Epoch [112][400/1027] lr: 3.869e-03, eta: 4:17:30, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.8912, top5_acc: 0.9856, loss_cls: 3.9174, loss: 3.9174 |
| 2025-05-16 03:38:42,795 - pyskl - INFO - Epoch [112][500/1027] lr: 3.851e-03, eta: 4:16:50, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 3.9402, loss: 3.9402 |
| 2025-05-16 03:39:20,430 - pyskl - INFO - Epoch [112][600/1027] lr: 3.832e-03, eta: 4:16:11, time: 0.376, data_time: 0.001, memory: 7959, top1_acc: 0.8906, top5_acc: 0.9856, loss_cls: 3.9995, loss: 3.9995 |
| 2025-05-16 03:39:58,113 - pyskl - INFO - Epoch [112][700/1027] lr: 3.814e-03, eta: 4:15:31, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9038, top5_acc: 0.9875, loss_cls: 4.0488, loss: 4.0488 |
| 2025-05-16 03:40:35,408 - pyskl - INFO - Epoch [112][800/1027] lr: 3.796e-03, eta: 4:14:52, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8850, top5_acc: 0.9838, loss_cls: 4.1185, loss: 4.1185 |
| 2025-05-16 03:41:12,951 - pyskl - INFO - Epoch [112][900/1027] lr: 3.778e-03, eta: 4:14:12, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8756, top5_acc: 0.9794, loss_cls: 4.0894, loss: 4.0894 |
| 2025-05-16 03:41:50,600 - pyskl - INFO - Epoch [112][1000/1027] lr: 3.759e-03, eta: 4:13:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9125, top5_acc: 0.9838, loss_cls: 4.1025, loss: 4.1025 |
| 2025-05-16 03:42:01,622 - pyskl - INFO - Saving checkpoint at 112 epochs |
| 2025-05-16 03:42:39,462 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:42:39,532 - pyskl - INFO - |
| top1_acc 0.7018 |
| top5_acc 0.9174 |
| 2025-05-16 03:42:39,532 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:42:39,539 - pyskl - INFO - |
| mean_acc 0.7019 |
| 2025-05-16 03:42:39,597 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_104.pth was removed |
| 2025-05-16 03:42:41,183 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. |
| 2025-05-16 03:42:41,185 - pyskl - INFO - Best top1_acc is 0.7018 at 112 epoch. |
| 2025-05-16 03:42:41,188 - pyskl - INFO - Epoch(val) [112][413] top1_acc: 0.7018, top5_acc: 0.9174, mean_class_accuracy: 0.7019 |
| 2025-05-16 03:43:44,402 - pyskl - INFO - Epoch [113][100/1027] lr: 3.736e-03, eta: 4:12:48, time: 0.632, data_time: 0.257, memory: 7959, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 3.8434, loss: 3.8434 |
| 2025-05-16 03:44:21,712 - pyskl - INFO - Epoch [113][200/1027] lr: 3.718e-03, eta: 4:12:09, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9031, top5_acc: 0.9869, loss_cls: 3.9705, loss: 3.9705 |
| 2025-05-16 03:44:59,134 - pyskl - INFO - Epoch [113][300/1027] lr: 3.700e-03, eta: 4:11:29, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9231, top5_acc: 0.9894, loss_cls: 3.9141, loss: 3.9141 |
| 2025-05-16 03:45:36,340 - pyskl - INFO - Epoch [113][400/1027] lr: 3.682e-03, eta: 4:10:50, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 3.8393, loss: 3.8393 |
| 2025-05-16 03:46:13,593 - pyskl - INFO - Epoch [113][500/1027] lr: 3.664e-03, eta: 4:10:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9163, top5_acc: 0.9888, loss_cls: 3.9079, loss: 3.9079 |
| 2025-05-16 03:46:51,361 - pyskl - INFO - Epoch [113][600/1027] lr: 3.646e-03, eta: 4:09:31, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 3.9428, loss: 3.9428 |
| 2025-05-16 03:47:29,076 - pyskl - INFO - Epoch [113][700/1027] lr: 3.628e-03, eta: 4:08:51, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 3.9437, loss: 3.9437 |
| 2025-05-16 03:48:06,401 - pyskl - INFO - Epoch [113][800/1027] lr: 3.610e-03, eta: 4:08:12, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 4.0219, loss: 4.0219 |
| 2025-05-16 03:48:43,887 - pyskl - INFO - Epoch [113][900/1027] lr: 3.592e-03, eta: 4:07:32, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.8812, top5_acc: 0.9831, loss_cls: 4.0999, loss: 4.0999 |
| 2025-05-16 03:49:21,472 - pyskl - INFO - Epoch [113][1000/1027] lr: 3.574e-03, eta: 4:06:53, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 4.0016, loss: 4.0016 |
| 2025-05-16 03:49:32,406 - pyskl - INFO - Saving checkpoint at 113 epochs |
| 2025-05-16 03:50:09,816 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:50:09,899 - pyskl - INFO - |
| top1_acc 0.6972 |
| top5_acc 0.9150 |
| 2025-05-16 03:50:09,899 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:50:09,907 - pyskl - INFO - |
| mean_acc 0.6992 |
| 2025-05-16 03:50:09,908 - pyskl - INFO - Epoch(val) [113][413] top1_acc: 0.6972, top5_acc: 0.9150, mean_class_accuracy: 0.6992 |
| 2025-05-16 03:51:12,704 - pyskl - INFO - Epoch [114][100/1027] lr: 3.551e-03, eta: 4:06:08, time: 0.628, data_time: 0.255, memory: 7959, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 3.8490, loss: 3.8490 |
| 2025-05-16 03:51:50,352 - pyskl - INFO - Epoch [114][200/1027] lr: 3.534e-03, eta: 4:05:28, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 3.8560, loss: 3.8560 |
| 2025-05-16 03:52:27,931 - pyskl - INFO - Epoch [114][300/1027] lr: 3.516e-03, eta: 4:04:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 3.8747, loss: 3.8747 |
| 2025-05-16 03:53:05,219 - pyskl - INFO - Epoch [114][400/1027] lr: 3.498e-03, eta: 4:04:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9100, top5_acc: 0.9875, loss_cls: 3.9401, loss: 3.9401 |
| 2025-05-16 03:53:42,931 - pyskl - INFO - Epoch [114][500/1027] lr: 3.481e-03, eta: 4:03:30, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 3.9134, loss: 3.9134 |
| 2025-05-16 03:54:20,849 - pyskl - INFO - Epoch [114][600/1027] lr: 3.463e-03, eta: 4:02:51, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 3.8948, loss: 3.8948 |
| 2025-05-16 03:54:58,513 - pyskl - INFO - Epoch [114][700/1027] lr: 3.445e-03, eta: 4:02:12, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 3.8432, loss: 3.8432 |
| 2025-05-16 03:55:35,693 - pyskl - INFO - Epoch [114][800/1027] lr: 3.428e-03, eta: 4:01:32, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 3.8039, loss: 3.8039 |
| 2025-05-16 03:56:13,195 - pyskl - INFO - Epoch [114][900/1027] lr: 3.410e-03, eta: 4:00:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9031, top5_acc: 0.9831, loss_cls: 4.0270, loss: 4.0270 |
| 2025-05-16 03:56:50,833 - pyskl - INFO - Epoch [114][1000/1027] lr: 3.393e-03, eta: 4:00:13, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 3.9355, loss: 3.9355 |
| 2025-05-16 03:57:01,711 - pyskl - INFO - Saving checkpoint at 114 epochs |
| 2025-05-16 03:57:39,397 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 03:57:39,468 - pyskl - INFO - |
| top1_acc 0.6890 |
| top5_acc 0.9080 |
| 2025-05-16 03:57:39,468 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 03:57:39,476 - pyskl - INFO - |
| mean_acc 0.6903 |
| 2025-05-16 03:57:39,478 - pyskl - INFO - Epoch(val) [114][413] top1_acc: 0.6890, top5_acc: 0.9080, mean_class_accuracy: 0.6903 |
| 2025-05-16 03:58:42,316 - pyskl - INFO - Epoch [115][100/1027] lr: 3.371e-03, eta: 3:59:28, time: 0.628, data_time: 0.254, memory: 7959, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 3.8443, loss: 3.8443 |
| 2025-05-16 03:59:19,708 - pyskl - INFO - Epoch [115][200/1027] lr: 3.353e-03, eta: 3:58:48, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 3.8560, loss: 3.8560 |
| 2025-05-16 03:59:57,075 - pyskl - INFO - Epoch [115][300/1027] lr: 3.336e-03, eta: 3:58:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 3.8422, loss: 3.8422 |
| 2025-05-16 04:00:34,300 - pyskl - INFO - Epoch [115][400/1027] lr: 3.319e-03, eta: 3:57:29, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 3.8663, loss: 3.8663 |
| 2025-05-16 04:01:11,544 - pyskl - INFO - Epoch [115][500/1027] lr: 3.301e-03, eta: 3:56:50, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 3.7823, loss: 3.7823 |
| 2025-05-16 04:01:49,202 - pyskl - INFO - Epoch [115][600/1027] lr: 3.284e-03, eta: 3:56:11, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9275, top5_acc: 0.9881, loss_cls: 3.8733, loss: 3.8733 |
| 2025-05-16 04:02:26,964 - pyskl - INFO - Epoch [115][700/1027] lr: 3.267e-03, eta: 3:55:31, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 3.8415, loss: 3.8415 |
| 2025-05-16 04:03:04,599 - pyskl - INFO - Epoch [115][800/1027] lr: 3.250e-03, eta: 3:54:52, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 3.8264, loss: 3.8264 |
| 2025-05-16 04:03:42,008 - pyskl - INFO - Epoch [115][900/1027] lr: 3.233e-03, eta: 3:54:12, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 3.7262, loss: 3.7262 |
| 2025-05-16 04:04:19,546 - pyskl - INFO - Epoch [115][1000/1027] lr: 3.215e-03, eta: 3:53:33, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 3.9457, loss: 3.9457 |
| 2025-05-16 04:04:30,481 - pyskl - INFO - Saving checkpoint at 115 epochs |
| 2025-05-16 04:05:08,317 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:05:08,388 - pyskl - INFO - |
| top1_acc 0.7122 |
| top5_acc 0.9197 |
| 2025-05-16 04:05:08,388 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:05:08,396 - pyskl - INFO - |
| mean_acc 0.7114 |
| 2025-05-16 04:05:08,455 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_112.pth was removed |
| 2025-05-16 04:05:10,016 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. |
| 2025-05-16 04:05:10,018 - pyskl - INFO - Best top1_acc is 0.7122 at 115 epoch. |
| 2025-05-16 04:05:10,020 - pyskl - INFO - Epoch(val) [115][413] top1_acc: 0.7122, top5_acc: 0.9197, mean_class_accuracy: 0.7114 |
| 2025-05-16 04:06:12,956 - pyskl - INFO - Epoch [116][100/1027] lr: 3.194e-03, eta: 3:52:48, time: 0.629, data_time: 0.256, memory: 7959, top1_acc: 0.9219, top5_acc: 0.9881, loss_cls: 3.7897, loss: 3.7897 |
| 2025-05-16 04:06:50,510 - pyskl - INFO - Epoch [116][200/1027] lr: 3.177e-03, eta: 3:52:08, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 3.7771, loss: 3.7771 |
| 2025-05-16 04:07:28,178 - pyskl - INFO - Epoch [116][300/1027] lr: 3.160e-03, eta: 3:51:29, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 3.6362, loss: 3.6362 |
| 2025-05-16 04:08:05,405 - pyskl - INFO - Epoch [116][400/1027] lr: 3.143e-03, eta: 3:50:49, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 3.6333, loss: 3.6333 |
| 2025-05-16 04:08:42,735 - pyskl - INFO - Epoch [116][500/1027] lr: 3.126e-03, eta: 3:50:10, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9475, top5_acc: 0.9931, loss_cls: 3.6161, loss: 3.6161 |
| 2025-05-16 04:09:20,352 - pyskl - INFO - Epoch [116][600/1027] lr: 3.109e-03, eta: 3:49:31, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9200, top5_acc: 0.9956, loss_cls: 3.7569, loss: 3.7569 |
| 2025-05-16 04:09:57,966 - pyskl - INFO - Epoch [116][700/1027] lr: 3.092e-03, eta: 3:48:51, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 3.7501, loss: 3.7501 |
| 2025-05-16 04:10:35,272 - pyskl - INFO - Epoch [116][800/1027] lr: 3.076e-03, eta: 3:48:12, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 3.8569, loss: 3.8569 |
| 2025-05-16 04:11:12,622 - pyskl - INFO - Epoch [116][900/1027] lr: 3.059e-03, eta: 3:47:32, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9206, top5_acc: 0.9888, loss_cls: 3.8450, loss: 3.8450 |
| 2025-05-16 04:11:50,114 - pyskl - INFO - Epoch [116][1000/1027] lr: 3.042e-03, eta: 3:46:53, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9119, top5_acc: 0.9950, loss_cls: 3.8384, loss: 3.8384 |
| 2025-05-16 04:12:00,953 - pyskl - INFO - Saving checkpoint at 116 epochs |
| 2025-05-16 04:12:38,607 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:12:38,678 - pyskl - INFO - |
| top1_acc 0.7025 |
| top5_acc 0.9177 |
| 2025-05-16 04:12:38,678 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:12:38,686 - pyskl - INFO - |
| mean_acc 0.7058 |
| 2025-05-16 04:12:38,688 - pyskl - INFO - Epoch(val) [116][413] top1_acc: 0.7025, top5_acc: 0.9177, mean_class_accuracy: 0.7058 |
| 2025-05-16 04:13:41,447 - pyskl - INFO - Epoch [117][100/1027] lr: 3.021e-03, eta: 3:46:07, time: 0.628, data_time: 0.252, memory: 7959, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 3.6213, loss: 3.6213 |
| 2025-05-16 04:14:19,167 - pyskl - INFO - Epoch [117][200/1027] lr: 3.004e-03, eta: 3:45:28, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 3.6417, loss: 3.6417 |
| 2025-05-16 04:14:56,684 - pyskl - INFO - Epoch [117][300/1027] lr: 2.988e-03, eta: 3:44:49, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 3.7854, loss: 3.7854 |
| 2025-05-16 04:15:34,035 - pyskl - INFO - Epoch [117][400/1027] lr: 2.971e-03, eta: 3:44:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 3.6750, loss: 3.6750 |
| 2025-05-16 04:16:11,453 - pyskl - INFO - Epoch [117][500/1027] lr: 2.955e-03, eta: 3:43:30, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 3.7942, loss: 3.7942 |
| 2025-05-16 04:16:49,292 - pyskl - INFO - Epoch [117][600/1027] lr: 2.938e-03, eta: 3:42:51, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9350, top5_acc: 0.9900, loss_cls: 3.6898, loss: 3.6898 |
| 2025-05-16 04:17:27,186 - pyskl - INFO - Epoch [117][700/1027] lr: 2.922e-03, eta: 3:42:11, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 3.8177, loss: 3.8177 |
| 2025-05-16 04:18:03,890 - pyskl - INFO - Epoch [117][800/1027] lr: 2.906e-03, eta: 3:41:32, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.9375, top5_acc: 0.9919, loss_cls: 3.6784, loss: 3.6784 |
| 2025-05-16 04:18:41,224 - pyskl - INFO - Epoch [117][900/1027] lr: 2.889e-03, eta: 3:40:52, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9231, top5_acc: 0.9888, loss_cls: 3.8104, loss: 3.8104 |
| 2025-05-16 04:19:18,636 - pyskl - INFO - Epoch [117][1000/1027] lr: 2.873e-03, eta: 3:40:13, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 3.7705, loss: 3.7705 |
| 2025-05-16 04:19:29,608 - pyskl - INFO - Saving checkpoint at 117 epochs |
| 2025-05-16 04:20:07,012 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:20:07,083 - pyskl - INFO - |
| top1_acc 0.7139 |
| top5_acc 0.9141 |
| 2025-05-16 04:20:07,083 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:20:07,091 - pyskl - INFO - |
| mean_acc 0.7140 |
| 2025-05-16 04:20:07,147 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_115.pth was removed |
| 2025-05-16 04:20:08,681 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. |
| 2025-05-16 04:20:08,682 - pyskl - INFO - Best top1_acc is 0.7139 at 117 epoch. |
| 2025-05-16 04:20:08,685 - pyskl - INFO - Epoch(val) [117][413] top1_acc: 0.7139, top5_acc: 0.9141, mean_class_accuracy: 0.7140 |
| 2025-05-16 04:21:11,690 - pyskl - INFO - Epoch [118][100/1027] lr: 2.853e-03, eta: 3:39:27, time: 0.630, data_time: 0.255, memory: 7959, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 3.6395, loss: 3.6395 |
| 2025-05-16 04:21:49,052 - pyskl - INFO - Epoch [118][200/1027] lr: 2.836e-03, eta: 3:38:48, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 3.6656, loss: 3.6656 |
| 2025-05-16 04:22:26,570 - pyskl - INFO - Epoch [118][300/1027] lr: 2.820e-03, eta: 3:38:08, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 3.5254, loss: 3.5254 |
| 2025-05-16 04:23:03,755 - pyskl - INFO - Epoch [118][400/1027] lr: 2.804e-03, eta: 3:37:29, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 3.6804, loss: 3.6804 |
| 2025-05-16 04:23:40,899 - pyskl - INFO - Epoch [118][500/1027] lr: 2.788e-03, eta: 3:36:49, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 3.6907, loss: 3.6907 |
| 2025-05-16 04:24:18,410 - pyskl - INFO - Epoch [118][600/1027] lr: 2.772e-03, eta: 3:36:10, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 3.5443, loss: 3.5443 |
| 2025-05-16 04:24:56,015 - pyskl - INFO - Epoch [118][700/1027] lr: 2.756e-03, eta: 3:35:31, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 3.6709, loss: 3.6709 |
| 2025-05-16 04:25:33,546 - pyskl - INFO - Epoch [118][800/1027] lr: 2.740e-03, eta: 3:34:51, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 3.6257, loss: 3.6257 |
| 2025-05-16 04:26:11,215 - pyskl - INFO - Epoch [118][900/1027] lr: 2.724e-03, eta: 3:34:12, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 3.6599, loss: 3.6599 |
| 2025-05-16 04:26:48,816 - pyskl - INFO - Epoch [118][1000/1027] lr: 2.708e-03, eta: 3:33:33, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 3.7774, loss: 3.7774 |
| 2025-05-16 04:26:59,898 - pyskl - INFO - Saving checkpoint at 118 epochs |
| 2025-05-16 04:27:36,928 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:27:36,999 - pyskl - INFO - |
| top1_acc 0.6933 |
| top5_acc 0.9086 |
| 2025-05-16 04:27:37,000 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:27:37,007 - pyskl - INFO - |
| mean_acc 0.6946 |
| 2025-05-16 04:27:37,008 - pyskl - INFO - Epoch(val) [118][413] top1_acc: 0.6933, top5_acc: 0.9086, mean_class_accuracy: 0.6946 |
| 2025-05-16 04:28:39,747 - pyskl - INFO - Epoch [119][100/1027] lr: 2.688e-03, eta: 3:32:47, time: 0.627, data_time: 0.253, memory: 7959, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 3.6598, loss: 3.6598 |
| 2025-05-16 04:29:17,184 - pyskl - INFO - Epoch [119][200/1027] lr: 2.672e-03, eta: 3:32:08, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 3.5919, loss: 3.5919 |
| 2025-05-16 04:29:54,429 - pyskl - INFO - Epoch [119][300/1027] lr: 2.657e-03, eta: 3:31:28, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 3.4852, loss: 3.4852 |
| 2025-05-16 04:30:31,106 - pyskl - INFO - Epoch [119][400/1027] lr: 2.641e-03, eta: 3:30:49, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.9556, top5_acc: 0.9931, loss_cls: 3.4767, loss: 3.4767 |
| 2025-05-16 04:31:07,752 - pyskl - INFO - Epoch [119][500/1027] lr: 2.625e-03, eta: 3:30:09, time: 0.366, data_time: 0.000, memory: 7959, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 3.6197, loss: 3.6197 |
| 2025-05-16 04:31:44,605 - pyskl - INFO - Epoch [119][600/1027] lr: 2.610e-03, eta: 3:29:29, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 3.6260, loss: 3.6260 |
| 2025-05-16 04:32:22,074 - pyskl - INFO - Epoch [119][700/1027] lr: 2.594e-03, eta: 3:28:50, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 3.6084, loss: 3.6084 |
| 2025-05-16 04:32:59,645 - pyskl - INFO - Epoch [119][800/1027] lr: 2.579e-03, eta: 3:28:11, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 3.5705, loss: 3.5705 |
| 2025-05-16 04:33:36,947 - pyskl - INFO - Epoch [119][900/1027] lr: 2.563e-03, eta: 3:27:31, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 3.7416, loss: 3.7416 |
| 2025-05-16 04:34:14,495 - pyskl - INFO - Epoch [119][1000/1027] lr: 2.548e-03, eta: 3:26:52, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9450, top5_acc: 0.9906, loss_cls: 3.6446, loss: 3.6446 |
| 2025-05-16 04:34:25,450 - pyskl - INFO - Saving checkpoint at 119 epochs |
| 2025-05-16 04:35:03,013 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:35:03,084 - pyskl - INFO - |
| top1_acc 0.7084 |
| top5_acc 0.9195 |
| 2025-05-16 04:35:03,085 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:35:03,095 - pyskl - INFO - |
| mean_acc 0.7087 |
| 2025-05-16 04:35:03,097 - pyskl - INFO - Epoch(val) [119][413] top1_acc: 0.7084, top5_acc: 0.9195, mean_class_accuracy: 0.7087 |
| 2025-05-16 04:36:05,868 - pyskl - INFO - Epoch [120][100/1027] lr: 2.528e-03, eta: 3:26:06, time: 0.628, data_time: 0.254, memory: 7959, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 3.5146, loss: 3.5146 |
| 2025-05-16 04:36:43,846 - pyskl - INFO - Epoch [120][200/1027] lr: 2.513e-03, eta: 3:25:27, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 3.5807, loss: 3.5807 |
| 2025-05-16 04:37:21,709 - pyskl - INFO - Epoch [120][300/1027] lr: 2.497e-03, eta: 3:24:48, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 3.5392, loss: 3.5392 |
| 2025-05-16 04:37:58,908 - pyskl - INFO - Epoch [120][400/1027] lr: 2.482e-03, eta: 3:24:08, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 3.5340, loss: 3.5340 |
| 2025-05-16 04:38:36,036 - pyskl - INFO - Epoch [120][500/1027] lr: 2.467e-03, eta: 3:23:29, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 3.5626, loss: 3.5626 |
| 2025-05-16 04:39:13,238 - pyskl - INFO - Epoch [120][600/1027] lr: 2.452e-03, eta: 3:22:49, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9600, top5_acc: 0.9944, loss_cls: 3.5018, loss: 3.5018 |
| 2025-05-16 04:39:51,117 - pyskl - INFO - Epoch [120][700/1027] lr: 2.437e-03, eta: 3:22:10, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 3.5094, loss: 3.5094 |
| 2025-05-16 04:40:28,587 - pyskl - INFO - Epoch [120][800/1027] lr: 2.422e-03, eta: 3:21:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 3.6301, loss: 3.6301 |
| 2025-05-16 04:41:06,271 - pyskl - INFO - Epoch [120][900/1027] lr: 2.407e-03, eta: 3:20:51, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 3.4669, loss: 3.4669 |
| 2025-05-16 04:41:43,630 - pyskl - INFO - Epoch [120][1000/1027] lr: 2.391e-03, eta: 3:20:12, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 3.5788, loss: 3.5788 |
| 2025-05-16 04:41:54,477 - pyskl - INFO - Saving checkpoint at 120 epochs |
| 2025-05-16 04:42:32,079 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:42:32,150 - pyskl - INFO - |
| top1_acc 0.7124 |
| top5_acc 0.9210 |
| 2025-05-16 04:42:32,150 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:42:32,158 - pyskl - INFO - |
| mean_acc 0.7099 |
| 2025-05-16 04:42:32,159 - pyskl - INFO - Epoch(val) [120][413] top1_acc: 0.7124, top5_acc: 0.9210, mean_class_accuracy: 0.7099 |
| 2025-05-16 04:43:34,613 - pyskl - INFO - Epoch [121][100/1027] lr: 2.372e-03, eta: 3:19:26, time: 0.624, data_time: 0.253, memory: 7959, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 3.5543, loss: 3.5543 |
| 2025-05-16 04:44:11,893 - pyskl - INFO - Epoch [121][200/1027] lr: 2.358e-03, eta: 3:18:46, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 3.5804, loss: 3.5804 |
| 2025-05-16 04:44:49,605 - pyskl - INFO - Epoch [121][300/1027] lr: 2.343e-03, eta: 3:18:07, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 3.4987, loss: 3.4987 |
| 2025-05-16 04:45:27,239 - pyskl - INFO - Epoch [121][400/1027] lr: 2.328e-03, eta: 3:17:28, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 3.5067, loss: 3.5067 |
| 2025-05-16 04:46:04,428 - pyskl - INFO - Epoch [121][500/1027] lr: 2.313e-03, eta: 3:16:48, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 3.4538, loss: 3.4538 |
| 2025-05-16 04:46:41,630 - pyskl - INFO - Epoch [121][600/1027] lr: 2.298e-03, eta: 3:16:09, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 3.4465, loss: 3.4465 |
| 2025-05-16 04:47:19,259 - pyskl - INFO - Epoch [121][700/1027] lr: 2.284e-03, eta: 3:15:30, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 3.5472, loss: 3.5472 |
| 2025-05-16 04:47:56,880 - pyskl - INFO - Epoch [121][800/1027] lr: 2.269e-03, eta: 3:14:51, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 3.5695, loss: 3.5695 |
| 2025-05-16 04:48:34,116 - pyskl - INFO - Epoch [121][900/1027] lr: 2.254e-03, eta: 3:14:11, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 3.5430, loss: 3.5430 |
| 2025-05-16 04:49:11,527 - pyskl - INFO - Epoch [121][1000/1027] lr: 2.240e-03, eta: 3:13:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9569, top5_acc: 0.9956, loss_cls: 3.5512, loss: 3.5512 |
| 2025-05-16 04:49:22,368 - pyskl - INFO - Saving checkpoint at 121 epochs |
| 2025-05-16 04:50:00,146 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:50:00,218 - pyskl - INFO - |
| top1_acc 0.7015 |
| top5_acc 0.9141 |
| 2025-05-16 04:50:00,218 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:50:00,226 - pyskl - INFO - |
| mean_acc 0.7015 |
| 2025-05-16 04:50:00,227 - pyskl - INFO - Epoch(val) [121][413] top1_acc: 0.7015, top5_acc: 0.9141, mean_class_accuracy: 0.7015 |
| 2025-05-16 04:51:03,158 - pyskl - INFO - Epoch [122][100/1027] lr: 2.221e-03, eta: 3:12:46, time: 0.629, data_time: 0.256, memory: 7959, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 3.4519, loss: 3.4519 |
| 2025-05-16 04:51:40,441 - pyskl - INFO - Epoch [122][200/1027] lr: 2.207e-03, eta: 3:12:06, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 3.4224, loss: 3.4224 |
| 2025-05-16 04:52:17,947 - pyskl - INFO - Epoch [122][300/1027] lr: 2.192e-03, eta: 3:11:27, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 3.5676, loss: 3.5676 |
| 2025-05-16 04:52:55,485 - pyskl - INFO - Epoch [122][400/1027] lr: 2.178e-03, eta: 3:10:48, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 3.4285, loss: 3.4285 |
| 2025-05-16 04:53:32,757 - pyskl - INFO - Epoch [122][500/1027] lr: 2.164e-03, eta: 3:10:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 3.3849, loss: 3.3849 |
| 2025-05-16 04:54:10,075 - pyskl - INFO - Epoch [122][600/1027] lr: 2.149e-03, eta: 3:09:29, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 3.3787, loss: 3.3787 |
| 2025-05-16 04:54:48,142 - pyskl - INFO - Epoch [122][700/1027] lr: 2.135e-03, eta: 3:08:50, time: 0.381, data_time: 0.001, memory: 7959, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 3.4606, loss: 3.4606 |
| 2025-05-16 04:55:25,921 - pyskl - INFO - Epoch [122][800/1027] lr: 2.121e-03, eta: 3:08:10, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9625, top5_acc: 0.9950, loss_cls: 3.4724, loss: 3.4724 |
| 2025-05-16 04:56:03,433 - pyskl - INFO - Epoch [122][900/1027] lr: 2.107e-03, eta: 3:07:31, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 3.5284, loss: 3.5284 |
| 2025-05-16 04:56:40,725 - pyskl - INFO - Epoch [122][1000/1027] lr: 2.092e-03, eta: 3:06:52, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 3.5079, loss: 3.5079 |
| 2025-05-16 04:56:51,543 - pyskl - INFO - Saving checkpoint at 122 epochs |
| 2025-05-16 04:57:29,399 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 04:57:29,471 - pyskl - INFO - |
| top1_acc 0.7010 |
| top5_acc 0.9147 |
| 2025-05-16 04:57:29,471 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 04:57:29,479 - pyskl - INFO - |
| mean_acc 0.7026 |
| 2025-05-16 04:57:29,481 - pyskl - INFO - Epoch(val) [122][413] top1_acc: 0.7010, top5_acc: 0.9147, mean_class_accuracy: 0.7026 |
| 2025-05-16 04:58:32,332 - pyskl - INFO - Epoch [123][100/1027] lr: 2.075e-03, eta: 3:06:05, time: 0.628, data_time: 0.256, memory: 7959, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 3.4803, loss: 3.4803 |
| 2025-05-16 04:59:09,755 - pyskl - INFO - Epoch [123][200/1027] lr: 2.060e-03, eta: 3:05:26, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 3.3402, loss: 3.3402 |
| 2025-05-16 04:59:47,674 - pyskl - INFO - Epoch [123][300/1027] lr: 2.046e-03, eta: 3:04:47, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 3.4739, loss: 3.4739 |
| 2025-05-16 05:00:25,118 - pyskl - INFO - Epoch [123][400/1027] lr: 2.033e-03, eta: 3:04:08, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 3.4498, loss: 3.4498 |
| 2025-05-16 05:01:02,390 - pyskl - INFO - Epoch [123][500/1027] lr: 2.019e-03, eta: 3:03:28, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 3.5644, loss: 3.5644 |
| 2025-05-16 05:01:39,803 - pyskl - INFO - Epoch [123][600/1027] lr: 2.005e-03, eta: 3:02:49, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 3.5419, loss: 3.5419 |
| 2025-05-16 05:02:17,419 - pyskl - INFO - Epoch [123][700/1027] lr: 1.991e-03, eta: 3:02:10, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 3.5077, loss: 3.5077 |
| 2025-05-16 05:02:55,280 - pyskl - INFO - Epoch [123][800/1027] lr: 1.977e-03, eta: 3:01:31, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 3.4321, loss: 3.4321 |
| 2025-05-16 05:03:32,665 - pyskl - INFO - Epoch [123][900/1027] lr: 1.963e-03, eta: 3:00:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 3.4126, loss: 3.4126 |
| 2025-05-16 05:04:10,293 - pyskl - INFO - Epoch [123][1000/1027] lr: 1.950e-03, eta: 3:00:12, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9637, top5_acc: 0.9962, loss_cls: 3.4513, loss: 3.4513 |
| 2025-05-16 05:04:21,436 - pyskl - INFO - Saving checkpoint at 123 epochs |
| 2025-05-16 05:04:58,889 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:04:58,961 - pyskl - INFO - |
| top1_acc 0.7084 |
| top5_acc 0.9180 |
| 2025-05-16 05:04:58,961 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:04:58,969 - pyskl - INFO - |
| mean_acc 0.7088 |
| 2025-05-16 05:04:58,971 - pyskl - INFO - Epoch(val) [123][413] top1_acc: 0.7084, top5_acc: 0.9180, mean_class_accuracy: 0.7088 |
| 2025-05-16 05:06:01,790 - pyskl - INFO - Epoch [124][100/1027] lr: 1.932e-03, eta: 2:59:25, time: 0.628, data_time: 0.256, memory: 7959, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 3.4199, loss: 3.4199 |
| 2025-05-16 05:06:38,955 - pyskl - INFO - Epoch [124][200/1027] lr: 1.919e-03, eta: 2:58:46, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 3.4454, loss: 3.4454 |
| 2025-05-16 05:07:16,494 - pyskl - INFO - Epoch [124][300/1027] lr: 1.905e-03, eta: 2:58:07, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 3.4293, loss: 3.4293 |
| 2025-05-16 05:07:53,555 - pyskl - INFO - Epoch [124][400/1027] lr: 1.892e-03, eta: 2:57:27, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 3.3123, loss: 3.3123 |
| 2025-05-16 05:08:30,231 - pyskl - INFO - Epoch [124][500/1027] lr: 1.878e-03, eta: 2:56:48, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 3.3886, loss: 3.3886 |
| 2025-05-16 05:09:07,488 - pyskl - INFO - Epoch [124][600/1027] lr: 1.865e-03, eta: 2:56:09, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 3.4105, loss: 3.4105 |
| 2025-05-16 05:09:44,982 - pyskl - INFO - Epoch [124][700/1027] lr: 1.851e-03, eta: 2:55:29, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 3.3664, loss: 3.3664 |
| 2025-05-16 05:10:22,689 - pyskl - INFO - Epoch [124][800/1027] lr: 1.838e-03, eta: 2:54:50, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 3.2728, loss: 3.2728 |
| 2025-05-16 05:10:59,912 - pyskl - INFO - Epoch [124][900/1027] lr: 1.825e-03, eta: 2:54:11, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 3.5082, loss: 3.5082 |
| 2025-05-16 05:11:37,286 - pyskl - INFO - Epoch [124][1000/1027] lr: 1.812e-03, eta: 2:53:32, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 3.3988, loss: 3.3988 |
| 2025-05-16 05:11:48,369 - pyskl - INFO - Saving checkpoint at 124 epochs |
| 2025-05-16 05:12:25,996 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:12:26,068 - pyskl - INFO - |
| top1_acc 0.7089 |
| top5_acc 0.9157 |
| 2025-05-16 05:12:26,068 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:12:26,076 - pyskl - INFO - |
| mean_acc 0.7066 |
| 2025-05-16 05:12:26,078 - pyskl - INFO - Epoch(val) [124][413] top1_acc: 0.7089, top5_acc: 0.9157, mean_class_accuracy: 0.7066 |
| 2025-05-16 05:13:28,844 - pyskl - INFO - Epoch [125][100/1027] lr: 1.795e-03, eta: 2:52:45, time: 0.628, data_time: 0.256, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 3.3244, loss: 3.3244 |
| 2025-05-16 05:14:05,938 - pyskl - INFO - Epoch [125][200/1027] lr: 1.782e-03, eta: 2:52:05, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 3.2591, loss: 3.2591 |
| 2025-05-16 05:14:43,259 - pyskl - INFO - Epoch [125][300/1027] lr: 1.769e-03, eta: 2:51:26, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 3.3050, loss: 3.3050 |
| 2025-05-16 05:15:20,729 - pyskl - INFO - Epoch [125][400/1027] lr: 1.756e-03, eta: 2:50:47, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 3.2685, loss: 3.2685 |
| 2025-05-16 05:15:58,034 - pyskl - INFO - Epoch [125][500/1027] lr: 1.743e-03, eta: 2:50:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 3.2773, loss: 3.2773 |
| 2025-05-16 05:16:35,296 - pyskl - INFO - Epoch [125][600/1027] lr: 1.730e-03, eta: 2:49:28, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 3.3319, loss: 3.3319 |
| 2025-05-16 05:17:12,855 - pyskl - INFO - Epoch [125][700/1027] lr: 1.717e-03, eta: 2:48:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 3.3010, loss: 3.3010 |
| 2025-05-16 05:17:50,599 - pyskl - INFO - Epoch [125][800/1027] lr: 1.704e-03, eta: 2:48:10, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9681, top5_acc: 0.9962, loss_cls: 3.4151, loss: 3.4151 |
| 2025-05-16 05:18:27,834 - pyskl - INFO - Epoch [125][900/1027] lr: 1.691e-03, eta: 2:47:31, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 3.3516, loss: 3.3516 |
| 2025-05-16 05:19:05,061 - pyskl - INFO - Epoch [125][1000/1027] lr: 1.678e-03, eta: 2:46:51, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 3.4503, loss: 3.4503 |
| 2025-05-16 05:19:15,823 - pyskl - INFO - Saving checkpoint at 125 epochs |
| 2025-05-16 05:19:52,999 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:19:53,069 - pyskl - INFO - |
| top1_acc 0.7103 |
| top5_acc 0.9164 |
| 2025-05-16 05:19:53,069 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:19:53,076 - pyskl - INFO - |
| mean_acc 0.7096 |
| 2025-05-16 05:19:53,078 - pyskl - INFO - Epoch(val) [125][413] top1_acc: 0.7103, top5_acc: 0.9164, mean_class_accuracy: 0.7096 |
| 2025-05-16 05:20:55,597 - pyskl - INFO - Epoch [126][100/1027] lr: 1.662e-03, eta: 2:46:04, time: 0.625, data_time: 0.252, memory: 7959, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 3.2311, loss: 3.2311 |
| 2025-05-16 05:21:32,880 - pyskl - INFO - Epoch [126][200/1027] lr: 1.649e-03, eta: 2:45:25, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 3.2189, loss: 3.2189 |
| 2025-05-16 05:22:10,380 - pyskl - INFO - Epoch [126][300/1027] lr: 1.637e-03, eta: 2:44:46, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 3.3326, loss: 3.3326 |
| 2025-05-16 05:22:48,014 - pyskl - INFO - Epoch [126][400/1027] lr: 1.624e-03, eta: 2:44:07, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 3.4374, loss: 3.4374 |
| 2025-05-16 05:23:25,206 - pyskl - INFO - Epoch [126][500/1027] lr: 1.612e-03, eta: 2:43:27, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 3.3925, loss: 3.3925 |
| 2025-05-16 05:24:02,357 - pyskl - INFO - Epoch [126][600/1027] lr: 1.599e-03, eta: 2:42:48, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 3.3957, loss: 3.3957 |
| 2025-05-16 05:24:39,726 - pyskl - INFO - Epoch [126][700/1027] lr: 1.587e-03, eta: 2:42:09, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 3.3009, loss: 3.3009 |
| 2025-05-16 05:25:17,468 - pyskl - INFO - Epoch [126][800/1027] lr: 1.574e-03, eta: 2:41:30, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 3.2009, loss: 3.2009 |
| 2025-05-16 05:25:55,145 - pyskl - INFO - Epoch [126][900/1027] lr: 1.562e-03, eta: 2:40:50, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 3.4013, loss: 3.4013 |
| 2025-05-16 05:26:32,609 - pyskl - INFO - Epoch [126][1000/1027] lr: 1.550e-03, eta: 2:40:11, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 3.2299, loss: 3.2299 |
| 2025-05-16 05:26:43,663 - pyskl - INFO - Saving checkpoint at 126 epochs |
| 2025-05-16 05:27:21,009 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:27:21,081 - pyskl - INFO - |
| top1_acc 0.7166 |
| top5_acc 0.9177 |
| 2025-05-16 05:27:21,081 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:27:21,089 - pyskl - INFO - |
| mean_acc 0.7176 |
| 2025-05-16 05:27:21,145 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_117.pth was removed |
| 2025-05-16 05:27:22,725 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. |
| 2025-05-16 05:27:22,726 - pyskl - INFO - Best top1_acc is 0.7166 at 126 epoch. |
| 2025-05-16 05:27:22,729 - pyskl - INFO - Epoch(val) [126][413] top1_acc: 0.7166, top5_acc: 0.9177, mean_class_accuracy: 0.7176 |
| 2025-05-16 05:28:25,364 - pyskl - INFO - Epoch [127][100/1027] lr: 1.534e-03, eta: 2:39:24, time: 0.626, data_time: 0.254, memory: 7959, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 3.1982, loss: 3.1982 |
| 2025-05-16 05:29:02,485 - pyskl - INFO - Epoch [127][200/1027] lr: 1.522e-03, eta: 2:38:45, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 3.2568, loss: 3.2568 |
| 2025-05-16 05:29:39,936 - pyskl - INFO - Epoch [127][300/1027] lr: 1.510e-03, eta: 2:38:06, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 3.3106, loss: 3.3106 |
| 2025-05-16 05:30:17,710 - pyskl - INFO - Epoch [127][400/1027] lr: 1.498e-03, eta: 2:37:26, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 3.2563, loss: 3.2563 |
| 2025-05-16 05:30:55,095 - pyskl - INFO - Epoch [127][500/1027] lr: 1.485e-03, eta: 2:36:47, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 3.2546, loss: 3.2546 |
| 2025-05-16 05:31:32,546 - pyskl - INFO - Epoch [127][600/1027] lr: 1.473e-03, eta: 2:36:08, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 3.2569, loss: 3.2569 |
| 2025-05-16 05:32:10,009 - pyskl - INFO - Epoch [127][700/1027] lr: 1.461e-03, eta: 2:35:29, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 3.2922, loss: 3.2922 |
| 2025-05-16 05:32:47,623 - pyskl - INFO - Epoch [127][800/1027] lr: 1.450e-03, eta: 2:34:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 3.1324, loss: 3.1324 |
| 2025-05-16 05:33:24,976 - pyskl - INFO - Epoch [127][900/1027] lr: 1.438e-03, eta: 2:34:10, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 3.3139, loss: 3.3139 |
| 2025-05-16 05:34:02,147 - pyskl - INFO - Epoch [127][1000/1027] lr: 1.426e-03, eta: 2:33:31, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 3.1495, loss: 3.1495 |
| 2025-05-16 05:34:12,829 - pyskl - INFO - Saving checkpoint at 127 epochs |
| 2025-05-16 05:34:50,392 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:34:50,463 - pyskl - INFO - |
| top1_acc 0.7207 |
| top5_acc 0.9200 |
| 2025-05-16 05:34:50,463 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:34:50,470 - pyskl - INFO - |
| mean_acc 0.7200 |
| 2025-05-16 05:34:50,526 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_126.pth was removed |
| 2025-05-16 05:34:52,090 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. |
| 2025-05-16 05:34:52,091 - pyskl - INFO - Best top1_acc is 0.7207 at 127 epoch. |
| 2025-05-16 05:34:52,094 - pyskl - INFO - Epoch(val) [127][413] top1_acc: 0.7207, top5_acc: 0.9200, mean_class_accuracy: 0.7200 |
| 2025-05-16 05:35:54,733 - pyskl - INFO - Epoch [128][100/1027] lr: 1.411e-03, eta: 2:32:44, time: 0.626, data_time: 0.255, memory: 7959, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 3.1909, loss: 3.1909 |
| 2025-05-16 05:36:31,815 - pyskl - INFO - Epoch [128][200/1027] lr: 1.399e-03, eta: 2:32:05, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 3.3527, loss: 3.3527 |
| 2025-05-16 05:37:09,274 - pyskl - INFO - Epoch [128][300/1027] lr: 1.387e-03, eta: 2:31:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 3.2460, loss: 3.2460 |
| 2025-05-16 05:37:46,666 - pyskl - INFO - Epoch [128][400/1027] lr: 1.376e-03, eta: 2:30:46, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 3.1956, loss: 3.1956 |
| 2025-05-16 05:38:24,138 - pyskl - INFO - Epoch [128][500/1027] lr: 1.364e-03, eta: 2:30:07, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 3.2537, loss: 3.2537 |
| 2025-05-16 05:39:01,350 - pyskl - INFO - Epoch [128][600/1027] lr: 1.353e-03, eta: 2:29:28, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 3.2920, loss: 3.2920 |
| 2025-05-16 05:39:38,678 - pyskl - INFO - Epoch [128][700/1027] lr: 1.341e-03, eta: 2:28:48, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 3.2821, loss: 3.2821 |
| 2025-05-16 05:40:16,553 - pyskl - INFO - Epoch [128][800/1027] lr: 1.330e-03, eta: 2:28:09, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 3.3458, loss: 3.3458 |
| 2025-05-16 05:40:54,123 - pyskl - INFO - Epoch [128][900/1027] lr: 1.318e-03, eta: 2:27:30, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 3.2124, loss: 3.2124 |
| 2025-05-16 05:41:31,535 - pyskl - INFO - Epoch [128][1000/1027] lr: 1.307e-03, eta: 2:26:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 3.3665, loss: 3.3665 |
| 2025-05-16 05:41:42,314 - pyskl - INFO - Saving checkpoint at 128 epochs |
| 2025-05-16 05:42:19,912 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:42:19,983 - pyskl - INFO - |
| top1_acc 0.7269 |
| top5_acc 0.9177 |
| 2025-05-16 05:42:19,983 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:42:19,991 - pyskl - INFO - |
| mean_acc 0.7260 |
| 2025-05-16 05:42:20,047 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_127.pth was removed |
| 2025-05-16 05:42:21,628 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. |
| 2025-05-16 05:42:21,629 - pyskl - INFO - Best top1_acc is 0.7269 at 128 epoch. |
| 2025-05-16 05:42:21,632 - pyskl - INFO - Epoch(val) [128][413] top1_acc: 0.7269, top5_acc: 0.9177, mean_class_accuracy: 0.7260 |
| 2025-05-16 05:43:24,776 - pyskl - INFO - Epoch [129][100/1027] lr: 1.292e-03, eta: 2:26:04, time: 0.631, data_time: 0.259, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.1829, loss: 3.1829 |
| 2025-05-16 05:44:02,109 - pyskl - INFO - Epoch [129][200/1027] lr: 1.281e-03, eta: 2:25:24, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.3114, loss: 3.3114 |
| 2025-05-16 05:44:40,008 - pyskl - INFO - Epoch [129][300/1027] lr: 1.270e-03, eta: 2:24:45, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 3.1926, loss: 3.1926 |
| 2025-05-16 05:45:17,345 - pyskl - INFO - Epoch [129][400/1027] lr: 1.259e-03, eta: 2:24:06, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 3.1735, loss: 3.1735 |
| 2025-05-16 05:45:54,407 - pyskl - INFO - Epoch [129][500/1027] lr: 1.248e-03, eta: 2:23:27, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 3.1797, loss: 3.1797 |
| 2025-05-16 05:46:31,489 - pyskl - INFO - Epoch [129][600/1027] lr: 1.237e-03, eta: 2:22:47, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 3.2729, loss: 3.2729 |
| 2025-05-16 05:47:08,751 - pyskl - INFO - Epoch [129][700/1027] lr: 1.226e-03, eta: 2:22:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.3084, loss: 3.3084 |
| 2025-05-16 05:47:46,446 - pyskl - INFO - Epoch [129][800/1027] lr: 1.215e-03, eta: 2:21:29, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 3.1365, loss: 3.1365 |
| 2025-05-16 05:48:23,961 - pyskl - INFO - Epoch [129][900/1027] lr: 1.204e-03, eta: 2:20:50, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 3.1496, loss: 3.1496 |
| 2025-05-16 05:49:01,287 - pyskl - INFO - Epoch [129][1000/1027] lr: 1.193e-03, eta: 2:20:11, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 3.1751, loss: 3.1751 |
| 2025-05-16 05:49:12,157 - pyskl - INFO - Saving checkpoint at 129 epochs |
| 2025-05-16 05:49:49,378 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:49:49,450 - pyskl - INFO - |
| top1_acc 0.7274 |
| top5_acc 0.9203 |
| 2025-05-16 05:49:49,450 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:49:49,459 - pyskl - INFO - |
| mean_acc 0.7268 |
| 2025-05-16 05:49:49,515 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_128.pth was removed |
| 2025-05-16 05:49:51,097 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. |
| 2025-05-16 05:49:51,099 - pyskl - INFO - Best top1_acc is 0.7274 at 129 epoch. |
| 2025-05-16 05:49:51,102 - pyskl - INFO - Epoch(val) [129][413] top1_acc: 0.7274, top5_acc: 0.9203, mean_class_accuracy: 0.7268 |
| 2025-05-16 05:50:54,261 - pyskl - INFO - Epoch [130][100/1027] lr: 1.179e-03, eta: 2:19:23, time: 0.632, data_time: 0.258, memory: 7959, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 3.1694, loss: 3.1694 |
| 2025-05-16 05:51:31,433 - pyskl - INFO - Epoch [130][200/1027] lr: 1.168e-03, eta: 2:18:44, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 3.2401, loss: 3.2401 |
| 2025-05-16 05:52:08,809 - pyskl - INFO - Epoch [130][300/1027] lr: 1.157e-03, eta: 2:18:05, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 3.0608, loss: 3.0608 |
| 2025-05-16 05:52:46,325 - pyskl - INFO - Epoch [130][400/1027] lr: 1.147e-03, eta: 2:17:26, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 3.1549, loss: 3.1549 |
| 2025-05-16 05:53:23,666 - pyskl - INFO - Epoch [130][500/1027] lr: 1.136e-03, eta: 2:16:47, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0934, loss: 3.0934 |
| 2025-05-16 05:54:01,033 - pyskl - INFO - Epoch [130][600/1027] lr: 1.125e-03, eta: 2:16:07, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 3.2370, loss: 3.2370 |
| 2025-05-16 05:54:38,400 - pyskl - INFO - Epoch [130][700/1027] lr: 1.115e-03, eta: 2:15:28, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 3.2818, loss: 3.2818 |
| 2025-05-16 05:55:16,171 - pyskl - INFO - Epoch [130][800/1027] lr: 1.104e-03, eta: 2:14:49, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 3.1845, loss: 3.1845 |
| 2025-05-16 05:55:53,712 - pyskl - INFO - Epoch [130][900/1027] lr: 1.094e-03, eta: 2:14:10, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 3.1868, loss: 3.1868 |
| 2025-05-16 05:56:30,998 - pyskl - INFO - Epoch [130][1000/1027] lr: 1.084e-03, eta: 2:13:31, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.9900, loss: 2.9900 |
| 2025-05-16 05:56:41,865 - pyskl - INFO - Saving checkpoint at 130 epochs |
| 2025-05-16 05:57:19,118 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 05:57:19,188 - pyskl - INFO - |
| top1_acc 0.7253 |
| top5_acc 0.9183 |
| 2025-05-16 05:57:19,189 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 05:57:19,196 - pyskl - INFO - |
| mean_acc 0.7249 |
| 2025-05-16 05:57:19,197 - pyskl - INFO - Epoch(val) [130][413] top1_acc: 0.7253, top5_acc: 0.9183, mean_class_accuracy: 0.7249 |
| 2025-05-16 05:58:22,199 - pyskl - INFO - Epoch [131][100/1027] lr: 1.070e-03, eta: 2:12:43, time: 0.630, data_time: 0.256, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0854, loss: 3.0854 |
| 2025-05-16 05:58:59,750 - pyskl - INFO - Epoch [131][200/1027] lr: 1.060e-03, eta: 2:12:04, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 3.1655, loss: 3.1655 |
| 2025-05-16 05:59:37,502 - pyskl - INFO - Epoch [131][300/1027] lr: 1.050e-03, eta: 2:11:25, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 3.2306, loss: 3.2306 |
| 2025-05-16 06:00:15,186 - pyskl - INFO - Epoch [131][400/1027] lr: 1.040e-03, eta: 2:10:46, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.0868, loss: 3.0868 |
| 2025-05-16 06:00:52,330 - pyskl - INFO - Epoch [131][500/1027] lr: 1.030e-03, eta: 2:10:07, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 3.1533, loss: 3.1533 |
| 2025-05-16 06:01:29,465 - pyskl - INFO - Epoch [131][600/1027] lr: 1.019e-03, eta: 2:09:27, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 3.0954, loss: 3.0954 |
| 2025-05-16 06:02:06,814 - pyskl - INFO - Epoch [131][700/1027] lr: 1.009e-03, eta: 2:08:48, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 3.1293, loss: 3.1293 |
| 2025-05-16 06:02:44,569 - pyskl - INFO - Epoch [131][800/1027] lr: 9.994e-04, eta: 2:08:09, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 3.2066, loss: 3.2066 |
| 2025-05-16 06:03:22,218 - pyskl - INFO - Epoch [131][900/1027] lr: 9.894e-04, eta: 2:07:30, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.1587, loss: 3.1587 |
| 2025-05-16 06:03:59,599 - pyskl - INFO - Epoch [131][1000/1027] lr: 9.795e-04, eta: 2:06:51, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 3.1062, loss: 3.1062 |
| 2025-05-16 06:04:10,742 - pyskl - INFO - Saving checkpoint at 131 epochs |
| 2025-05-16 06:04:47,851 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:04:47,923 - pyskl - INFO - |
| top1_acc 0.7200 |
| top5_acc 0.9186 |
| 2025-05-16 06:04:47,923 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:04:47,931 - pyskl - INFO - |
| mean_acc 0.7196 |
| 2025-05-16 06:04:47,933 - pyskl - INFO - Epoch(val) [131][413] top1_acc: 0.7200, top5_acc: 0.9186, mean_class_accuracy: 0.7196 |
| 2025-05-16 06:05:51,158 - pyskl - INFO - Epoch [132][100/1027] lr: 9.670e-04, eta: 2:06:03, time: 0.632, data_time: 0.260, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.1020, loss: 3.1020 |
| 2025-05-16 06:06:28,329 - pyskl - INFO - Epoch [132][200/1027] lr: 9.571e-04, eta: 2:05:24, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 3.0638, loss: 3.0638 |
| 2025-05-16 06:07:05,742 - pyskl - INFO - Epoch [132][300/1027] lr: 9.474e-04, eta: 2:04:45, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 3.0470, loss: 3.0470 |
| 2025-05-16 06:07:43,149 - pyskl - INFO - Epoch [132][400/1027] lr: 9.377e-04, eta: 2:04:06, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.1326, loss: 3.1326 |
| 2025-05-16 06:08:20,500 - pyskl - INFO - Epoch [132][500/1027] lr: 9.280e-04, eta: 2:03:26, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 3.1084, loss: 3.1084 |
| 2025-05-16 06:08:57,799 - pyskl - INFO - Epoch [132][600/1027] lr: 9.184e-04, eta: 2:02:47, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.0300, loss: 3.0300 |
| 2025-05-16 06:09:35,028 - pyskl - INFO - Epoch [132][700/1027] lr: 9.088e-04, eta: 2:02:08, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1406, loss: 3.1406 |
| 2025-05-16 06:10:12,869 - pyskl - INFO - Epoch [132][800/1027] lr: 8.993e-04, eta: 2:01:29, time: 0.378, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.1139, loss: 3.1139 |
| 2025-05-16 06:10:50,521 - pyskl - INFO - Epoch [132][900/1027] lr: 8.898e-04, eta: 2:00:50, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.0998, loss: 3.0998 |
| 2025-05-16 06:11:27,965 - pyskl - INFO - Epoch [132][1000/1027] lr: 8.804e-04, eta: 2:00:11, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 3.1541, loss: 3.1541 |
| 2025-05-16 06:11:39,091 - pyskl - INFO - Saving checkpoint at 132 epochs |
| 2025-05-16 06:12:16,486 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:12:16,556 - pyskl - INFO - |
| top1_acc 0.7180 |
| top5_acc 0.9170 |
| 2025-05-16 06:12:16,556 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:12:16,564 - pyskl - INFO - |
| mean_acc 0.7189 |
| 2025-05-16 06:12:16,565 - pyskl - INFO - Epoch(val) [132][413] top1_acc: 0.7180, top5_acc: 0.9170, mean_class_accuracy: 0.7189 |
| 2025-05-16 06:13:19,078 - pyskl - INFO - Epoch [133][100/1027] lr: 8.685e-04, eta: 1:59:23, time: 0.625, data_time: 0.253, memory: 7959, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 3.0833, loss: 3.0833 |
| 2025-05-16 06:13:56,259 - pyskl - INFO - Epoch [133][200/1027] lr: 8.592e-04, eta: 1:58:44, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1251, loss: 3.1251 |
| 2025-05-16 06:14:33,585 - pyskl - INFO - Epoch [133][300/1027] lr: 8.500e-04, eta: 1:58:05, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9641, loss: 2.9641 |
| 2025-05-16 06:15:11,040 - pyskl - INFO - Epoch [133][400/1027] lr: 8.407e-04, eta: 1:57:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 3.1425, loss: 3.1425 |
| 2025-05-16 06:15:48,129 - pyskl - INFO - Epoch [133][500/1027] lr: 8.316e-04, eta: 1:56:46, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.0446, loss: 3.0446 |
| 2025-05-16 06:16:25,264 - pyskl - INFO - Epoch [133][600/1027] lr: 8.225e-04, eta: 1:56:07, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1246, loss: 3.1246 |
| 2025-05-16 06:17:02,489 - pyskl - INFO - Epoch [133][700/1027] lr: 8.134e-04, eta: 1:55:28, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 3.1960, loss: 3.1960 |
| 2025-05-16 06:17:40,025 - pyskl - INFO - Epoch [133][800/1027] lr: 8.044e-04, eta: 1:54:49, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 3.1774, loss: 3.1774 |
| 2025-05-16 06:18:17,766 - pyskl - INFO - Epoch [133][900/1027] lr: 7.954e-04, eta: 1:54:10, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.1331, loss: 3.1331 |
| 2025-05-16 06:18:55,144 - pyskl - INFO - Epoch [133][1000/1027] lr: 7.865e-04, eta: 1:53:30, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 3.0305, loss: 3.0305 |
| 2025-05-16 06:19:06,163 - pyskl - INFO - Saving checkpoint at 133 epochs |
| 2025-05-16 06:19:43,767 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:19:43,844 - pyskl - INFO - |
| top1_acc 0.7281 |
| top5_acc 0.9176 |
| 2025-05-16 06:19:43,844 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:19:43,853 - pyskl - INFO - |
| mean_acc 0.7267 |
| 2025-05-16 06:19:43,910 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_129.pth was removed |
| 2025-05-16 06:19:45,540 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. |
| 2025-05-16 06:19:45,541 - pyskl - INFO - Best top1_acc is 0.7281 at 133 epoch. |
| 2025-05-16 06:19:45,544 - pyskl - INFO - Epoch(val) [133][413] top1_acc: 0.7281, top5_acc: 0.9176, mean_class_accuracy: 0.7267 |
| 2025-05-16 06:20:48,402 - pyskl - INFO - Epoch [134][100/1027] lr: 7.752e-04, eta: 1:52:43, time: 0.629, data_time: 0.255, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1041, loss: 3.1041 |
| 2025-05-16 06:21:25,565 - pyskl - INFO - Epoch [134][200/1027] lr: 7.664e-04, eta: 1:52:03, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1719, loss: 3.1719 |
| 2025-05-16 06:22:02,845 - pyskl - INFO - Epoch [134][300/1027] lr: 7.576e-04, eta: 1:51:24, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1166, loss: 3.1166 |
| 2025-05-16 06:22:40,293 - pyskl - INFO - Epoch [134][400/1027] lr: 7.489e-04, eta: 1:50:45, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 3.1426, loss: 3.1426 |
| 2025-05-16 06:23:17,041 - pyskl - INFO - Epoch [134][500/1027] lr: 7.402e-04, eta: 1:50:06, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0333, loss: 3.0333 |
| 2025-05-16 06:23:53,756 - pyskl - INFO - Epoch [134][600/1027] lr: 7.316e-04, eta: 1:49:27, time: 0.367, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 2.9770, loss: 2.9770 |
| 2025-05-16 06:24:30,641 - pyskl - INFO - Epoch [134][700/1027] lr: 7.231e-04, eta: 1:48:47, time: 0.369, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0421, loss: 3.0421 |
| 2025-05-16 06:25:08,253 - pyskl - INFO - Epoch [134][800/1027] lr: 7.145e-04, eta: 1:48:08, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.1388, loss: 3.1388 |
| 2025-05-16 06:25:45,843 - pyskl - INFO - Epoch [134][900/1027] lr: 7.061e-04, eta: 1:47:29, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8796, loss: 2.8796 |
| 2025-05-16 06:26:23,453 - pyskl - INFO - Epoch [134][1000/1027] lr: 6.976e-04, eta: 1:46:50, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9996, loss: 2.9996 |
| 2025-05-16 06:26:34,345 - pyskl - INFO - Saving checkpoint at 134 epochs |
| 2025-05-16 06:27:12,179 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:27:12,251 - pyskl - INFO - |
| top1_acc 0.7309 |
| top5_acc 0.9209 |
| 2025-05-16 06:27:12,251 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:27:12,259 - pyskl - INFO - |
| mean_acc 0.7317 |
| 2025-05-16 06:27:12,319 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_133.pth was removed |
| 2025-05-16 06:27:13,952 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. |
| 2025-05-16 06:27:13,953 - pyskl - INFO - Best top1_acc is 0.7309 at 134 epoch. |
| 2025-05-16 06:27:13,956 - pyskl - INFO - Epoch(val) [134][413] top1_acc: 0.7309, top5_acc: 0.9209, mean_class_accuracy: 0.7317 |
| 2025-05-16 06:28:17,045 - pyskl - INFO - Epoch [135][100/1027] lr: 6.870e-04, eta: 1:46:02, time: 0.631, data_time: 0.258, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0293, loss: 3.0293 |
| 2025-05-16 06:28:54,178 - pyskl - INFO - Epoch [135][200/1027] lr: 6.787e-04, eta: 1:45:23, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0611, loss: 3.0611 |
| 2025-05-16 06:29:31,421 - pyskl - INFO - Epoch [135][300/1027] lr: 6.704e-04, eta: 1:44:44, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0755, loss: 3.0755 |
| 2025-05-16 06:30:08,824 - pyskl - INFO - Epoch [135][400/1027] lr: 6.622e-04, eta: 1:44:05, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.1591, loss: 3.1591 |
| 2025-05-16 06:30:46,123 - pyskl - INFO - Epoch [135][500/1027] lr: 6.541e-04, eta: 1:43:26, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0846, loss: 3.0846 |
| 2025-05-16 06:31:23,348 - pyskl - INFO - Epoch [135][600/1027] lr: 6.460e-04, eta: 1:42:47, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.0352, loss: 3.0352 |
| 2025-05-16 06:32:00,623 - pyskl - INFO - Epoch [135][700/1027] lr: 6.379e-04, eta: 1:42:07, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.0086, loss: 3.0086 |
| 2025-05-16 06:32:38,190 - pyskl - INFO - Epoch [135][800/1027] lr: 6.299e-04, eta: 1:41:28, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.1054, loss: 3.1054 |
| 2025-05-16 06:33:15,762 - pyskl - INFO - Epoch [135][900/1027] lr: 6.219e-04, eta: 1:40:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.0303, loss: 3.0303 |
| 2025-05-16 06:33:53,199 - pyskl - INFO - Epoch [135][1000/1027] lr: 6.140e-04, eta: 1:40:10, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0604, loss: 3.0604 |
| 2025-05-16 06:34:03,995 - pyskl - INFO - Saving checkpoint at 135 epochs |
| 2025-05-16 06:34:41,813 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:34:41,886 - pyskl - INFO - |
| top1_acc 0.7236 |
| top5_acc 0.9182 |
| 2025-05-16 06:34:41,886 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:34:41,894 - pyskl - INFO - |
| mean_acc 0.7256 |
| 2025-05-16 06:34:41,896 - pyskl - INFO - Epoch(val) [135][413] top1_acc: 0.7236, top5_acc: 0.9182, mean_class_accuracy: 0.7256 |
| 2025-05-16 06:35:44,432 - pyskl - INFO - Epoch [136][100/1027] lr: 6.040e-04, eta: 1:39:22, time: 0.625, data_time: 0.254, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9736, loss: 2.9736 |
| 2025-05-16 06:36:21,717 - pyskl - INFO - Epoch [136][200/1027] lr: 5.962e-04, eta: 1:38:43, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0298, loss: 3.0298 |
| 2025-05-16 06:36:59,247 - pyskl - INFO - Epoch [136][300/1027] lr: 5.885e-04, eta: 1:38:04, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 3.0319, loss: 3.0319 |
| 2025-05-16 06:37:36,746 - pyskl - INFO - Epoch [136][400/1027] lr: 5.808e-04, eta: 1:37:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9936, loss: 2.9936 |
| 2025-05-16 06:38:14,032 - pyskl - INFO - Epoch [136][500/1027] lr: 5.731e-04, eta: 1:36:46, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 3.0843, loss: 3.0843 |
| 2025-05-16 06:38:51,069 - pyskl - INFO - Epoch [136][600/1027] lr: 5.655e-04, eta: 1:36:06, time: 0.370, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0151, loss: 3.0151 |
| 2025-05-16 06:39:28,160 - pyskl - INFO - Epoch [136][700/1027] lr: 5.579e-04, eta: 1:35:27, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 3.0127, loss: 3.0127 |
| 2025-05-16 06:40:05,617 - pyskl - INFO - Epoch [136][800/1027] lr: 5.504e-04, eta: 1:34:48, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0909, loss: 3.0909 |
| 2025-05-16 06:40:43,275 - pyskl - INFO - Epoch [136][900/1027] lr: 5.430e-04, eta: 1:34:09, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9155, loss: 2.9155 |
| 2025-05-16 06:41:20,809 - pyskl - INFO - Epoch [136][1000/1027] lr: 5.356e-04, eta: 1:33:30, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0383, loss: 3.0383 |
| 2025-05-16 06:41:31,766 - pyskl - INFO - Saving checkpoint at 136 epochs |
| 2025-05-16 06:42:09,655 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:42:09,726 - pyskl - INFO - |
| top1_acc 0.7281 |
| top5_acc 0.9200 |
| 2025-05-16 06:42:09,727 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:42:09,735 - pyskl - INFO - |
| mean_acc 0.7282 |
| 2025-05-16 06:42:09,737 - pyskl - INFO - Epoch(val) [136][413] top1_acc: 0.7281, top5_acc: 0.9200, mean_class_accuracy: 0.7282 |
| 2025-05-16 06:43:12,746 - pyskl - INFO - Epoch [137][100/1027] lr: 5.262e-04, eta: 1:32:42, time: 0.630, data_time: 0.257, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9222, loss: 2.9222 |
| 2025-05-16 06:43:49,969 - pyskl - INFO - Epoch [137][200/1027] lr: 5.189e-04, eta: 1:32:03, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0929, loss: 3.0929 |
| 2025-05-16 06:44:27,386 - pyskl - INFO - Epoch [137][300/1027] lr: 5.117e-04, eta: 1:31:24, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.0053, loss: 3.0053 |
| 2025-05-16 06:45:04,822 - pyskl - INFO - Epoch [137][400/1027] lr: 5.045e-04, eta: 1:30:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0164, loss: 3.0164 |
| 2025-05-16 06:45:42,192 - pyskl - INFO - Epoch [137][500/1027] lr: 4.974e-04, eta: 1:30:05, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 3.0102, loss: 3.0102 |
| 2025-05-16 06:46:19,550 - pyskl - INFO - Epoch [137][600/1027] lr: 4.903e-04, eta: 1:29:26, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0875, loss: 3.0875 |
| 2025-05-16 06:46:56,702 - pyskl - INFO - Epoch [137][700/1027] lr: 4.832e-04, eta: 1:28:47, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1402, loss: 3.1402 |
| 2025-05-16 06:47:34,197 - pyskl - INFO - Epoch [137][800/1027] lr: 4.762e-04, eta: 1:28:08, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.0536, loss: 3.0536 |
| 2025-05-16 06:48:11,727 - pyskl - INFO - Epoch [137][900/1027] lr: 4.693e-04, eta: 1:27:29, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.9732, loss: 2.9732 |
| 2025-05-16 06:48:49,431 - pyskl - INFO - Epoch [137][1000/1027] lr: 4.624e-04, eta: 1:26:50, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.0993, loss: 3.0993 |
| 2025-05-16 06:49:00,539 - pyskl - INFO - Saving checkpoint at 137 epochs |
| 2025-05-16 06:49:38,274 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:49:38,345 - pyskl - INFO - |
| top1_acc 0.7169 |
| top5_acc 0.9150 |
| 2025-05-16 06:49:38,345 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:49:38,353 - pyskl - INFO - |
| mean_acc 0.7176 |
| 2025-05-16 06:49:38,355 - pyskl - INFO - Epoch(val) [137][413] top1_acc: 0.7169, top5_acc: 0.9150, mean_class_accuracy: 0.7176 |
| 2025-05-16 06:50:41,067 - pyskl - INFO - Epoch [138][100/1027] lr: 4.537e-04, eta: 1:26:02, time: 0.627, data_time: 0.254, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9189, loss: 2.9189 |
| 2025-05-16 06:51:18,168 - pyskl - INFO - Epoch [138][200/1027] lr: 4.469e-04, eta: 1:25:23, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9488, loss: 2.9488 |
| 2025-05-16 06:51:55,464 - pyskl - INFO - Epoch [138][300/1027] lr: 4.402e-04, eta: 1:24:43, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0821, loss: 3.0821 |
| 2025-05-16 06:52:32,921 - pyskl - INFO - Epoch [138][400/1027] lr: 4.335e-04, eta: 1:24:04, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9373, loss: 2.9373 |
| 2025-05-16 06:53:10,437 - pyskl - INFO - Epoch [138][500/1027] lr: 4.269e-04, eta: 1:23:25, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0744, loss: 3.0744 |
| 2025-05-16 06:53:47,744 - pyskl - INFO - Epoch [138][600/1027] lr: 4.203e-04, eta: 1:22:46, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 3.0876, loss: 3.0876 |
| 2025-05-16 06:54:25,086 - pyskl - INFO - Epoch [138][700/1027] lr: 4.138e-04, eta: 1:22:07, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9847, loss: 2.9847 |
| 2025-05-16 06:55:02,622 - pyskl - INFO - Epoch [138][800/1027] lr: 4.073e-04, eta: 1:21:28, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0261, loss: 3.0261 |
| 2025-05-16 06:55:40,496 - pyskl - INFO - Epoch [138][900/1027] lr: 4.009e-04, eta: 1:20:49, time: 0.379, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 3.0534, loss: 3.0534 |
| 2025-05-16 06:56:18,652 - pyskl - INFO - Epoch [138][1000/1027] lr: 3.945e-04, eta: 1:20:10, time: 0.382, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.0496, loss: 3.0496 |
| 2025-05-16 06:56:29,394 - pyskl - INFO - Saving checkpoint at 138 epochs |
| 2025-05-16 06:57:06,692 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 06:57:06,762 - pyskl - INFO - |
| top1_acc 0.7275 |
| top5_acc 0.9198 |
| 2025-05-16 06:57:06,762 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 06:57:06,769 - pyskl - INFO - |
| mean_acc 0.7260 |
| 2025-05-16 06:57:06,771 - pyskl - INFO - Epoch(val) [138][413] top1_acc: 0.7275, top5_acc: 0.9198, mean_class_accuracy: 0.7260 |
| 2025-05-16 06:58:09,645 - pyskl - INFO - Epoch [139][100/1027] lr: 3.865e-04, eta: 1:19:22, time: 0.629, data_time: 0.257, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9799, loss: 2.9799 |
| 2025-05-16 06:58:46,848 - pyskl - INFO - Epoch [139][200/1027] lr: 3.802e-04, eta: 1:18:43, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0865, loss: 3.0865 |
| 2025-05-16 06:59:23,998 - pyskl - INFO - Epoch [139][300/1027] lr: 3.740e-04, eta: 1:18:03, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.0578, loss: 3.0578 |
| 2025-05-16 07:00:01,237 - pyskl - INFO - Epoch [139][400/1027] lr: 3.678e-04, eta: 1:17:24, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9758, loss: 2.9758 |
| 2025-05-16 07:00:38,062 - pyskl - INFO - Epoch [139][500/1027] lr: 3.617e-04, eta: 1:16:45, time: 0.368, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.9374, loss: 2.9374 |
| 2025-05-16 07:01:14,614 - pyskl - INFO - Epoch [139][600/1027] lr: 3.556e-04, eta: 1:16:06, time: 0.366, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9784, loss: 2.9784 |
| 2025-05-16 07:01:51,173 - pyskl - INFO - Epoch [139][700/1027] lr: 3.496e-04, eta: 1:15:27, time: 0.366, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9920, loss: 2.9920 |
| 2025-05-16 07:02:28,355 - pyskl - INFO - Epoch [139][800/1027] lr: 3.437e-04, eta: 1:14:48, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9338, loss: 2.9338 |
| 2025-05-16 07:03:05,856 - pyskl - INFO - Epoch [139][900/1027] lr: 3.378e-04, eta: 1:14:09, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 2.9897, loss: 2.9897 |
| 2025-05-16 07:03:43,308 - pyskl - INFO - Epoch [139][1000/1027] lr: 3.319e-04, eta: 1:13:30, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0246, loss: 3.0246 |
| 2025-05-16 07:03:54,268 - pyskl - INFO - Saving checkpoint at 139 epochs |
| 2025-05-16 07:04:32,361 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:04:32,432 - pyskl - INFO - |
| top1_acc 0.7303 |
| top5_acc 0.9210 |
| 2025-05-16 07:04:32,432 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:04:32,440 - pyskl - INFO - |
| mean_acc 0.7291 |
| 2025-05-16 07:04:32,441 - pyskl - INFO - Epoch(val) [139][413] top1_acc: 0.7303, top5_acc: 0.9210, mean_class_accuracy: 0.7291 |
| 2025-05-16 07:05:35,972 - pyskl - INFO - Epoch [140][100/1027] lr: 3.245e-04, eta: 1:12:41, time: 0.635, data_time: 0.261, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9352, loss: 2.9352 |
| 2025-05-16 07:06:13,194 - pyskl - INFO - Epoch [140][200/1027] lr: 3.188e-04, eta: 1:12:02, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 2.8970, loss: 2.8970 |
| 2025-05-16 07:06:50,536 - pyskl - INFO - Epoch [140][300/1027] lr: 3.131e-04, eta: 1:11:23, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9756, loss: 2.9756 |
| 2025-05-16 07:07:28,037 - pyskl - INFO - Epoch [140][400/1027] lr: 3.074e-04, eta: 1:10:44, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9332, loss: 2.9332 |
| 2025-05-16 07:08:05,364 - pyskl - INFO - Epoch [140][500/1027] lr: 3.018e-04, eta: 1:10:05, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0889, loss: 3.0889 |
| 2025-05-16 07:08:42,524 - pyskl - INFO - Epoch [140][600/1027] lr: 2.963e-04, eta: 1:09:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9759, loss: 2.9759 |
| 2025-05-16 07:09:19,744 - pyskl - INFO - Epoch [140][700/1027] lr: 2.908e-04, eta: 1:08:47, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0025, loss: 3.0025 |
| 2025-05-16 07:09:57,077 - pyskl - INFO - Epoch [140][800/1027] lr: 2.854e-04, eta: 1:08:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9693, loss: 2.9693 |
| 2025-05-16 07:10:34,637 - pyskl - INFO - Epoch [140][900/1027] lr: 2.800e-04, eta: 1:07:29, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9715, loss: 2.9715 |
| 2025-05-16 07:11:12,105 - pyskl - INFO - Epoch [140][1000/1027] lr: 2.746e-04, eta: 1:06:50, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9635, loss: 2.9635 |
| 2025-05-16 07:11:23,599 - pyskl - INFO - Saving checkpoint at 140 epochs |
| 2025-05-16 07:12:01,605 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:12:01,676 - pyskl - INFO - |
| top1_acc 0.7266 |
| top5_acc 0.9198 |
| 2025-05-16 07:12:01,676 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:12:01,685 - pyskl - INFO - |
| mean_acc 0.7250 |
| 2025-05-16 07:12:01,686 - pyskl - INFO - Epoch(val) [140][413] top1_acc: 0.7266, top5_acc: 0.9198, mean_class_accuracy: 0.7250 |
| 2025-05-16 07:13:04,469 - pyskl - INFO - Epoch [141][100/1027] lr: 2.679e-04, eta: 1:06:01, time: 0.628, data_time: 0.256, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0230, loss: 3.0230 |
| 2025-05-16 07:13:41,718 - pyskl - INFO - Epoch [141][200/1027] lr: 2.627e-04, eta: 1:05:22, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.9235, loss: 2.9235 |
| 2025-05-16 07:14:19,015 - pyskl - INFO - Epoch [141][300/1027] lr: 2.575e-04, eta: 1:04:43, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9810, loss: 2.9810 |
| 2025-05-16 07:14:56,303 - pyskl - INFO - Epoch [141][400/1027] lr: 2.524e-04, eta: 1:04:04, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9875, loss: 2.9875 |
| 2025-05-16 07:15:33,625 - pyskl - INFO - Epoch [141][500/1027] lr: 2.473e-04, eta: 1:03:25, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0107, loss: 3.0107 |
| 2025-05-16 07:16:10,786 - pyskl - INFO - Epoch [141][600/1027] lr: 2.423e-04, eta: 1:02:46, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8688, loss: 2.8688 |
| 2025-05-16 07:16:47,892 - pyskl - INFO - Epoch [141][700/1027] lr: 2.374e-04, eta: 1:02:07, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0016, loss: 3.0016 |
| 2025-05-16 07:17:25,357 - pyskl - INFO - Epoch [141][800/1027] lr: 2.324e-04, eta: 1:01:28, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9508, loss: 2.9508 |
| 2025-05-16 07:18:03,014 - pyskl - INFO - Epoch [141][900/1027] lr: 2.276e-04, eta: 1:00:49, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0197, loss: 3.0197 |
| 2025-05-16 07:18:40,561 - pyskl - INFO - Epoch [141][1000/1027] lr: 2.227e-04, eta: 1:00:10, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9668, loss: 2.9668 |
| 2025-05-16 07:18:51,607 - pyskl - INFO - Saving checkpoint at 141 epochs |
| 2025-05-16 07:19:28,970 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:19:29,042 - pyskl - INFO - |
| top1_acc 0.7345 |
| top5_acc 0.9227 |
| 2025-05-16 07:19:29,042 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:19:29,050 - pyskl - INFO - |
| mean_acc 0.7323 |
| 2025-05-16 07:19:29,108 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_134.pth was removed |
| 2025-05-16 07:19:30,722 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. |
| 2025-05-16 07:19:30,723 - pyskl - INFO - Best top1_acc is 0.7345 at 141 epoch. |
| 2025-05-16 07:19:30,726 - pyskl - INFO - Epoch(val) [141][413] top1_acc: 0.7345, top5_acc: 0.9227, mean_class_accuracy: 0.7323 |
| 2025-05-16 07:20:33,678 - pyskl - INFO - Epoch [142][100/1027] lr: 2.167e-04, eta: 0:59:21, time: 0.629, data_time: 0.257, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 2.8821, loss: 2.8821 |
| 2025-05-16 07:21:10,758 - pyskl - INFO - Epoch [142][200/1027] lr: 2.120e-04, eta: 0:58:42, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9383, loss: 2.9383 |
| 2025-05-16 07:21:47,883 - pyskl - INFO - Epoch [142][300/1027] lr: 2.074e-04, eta: 0:58:03, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8871, loss: 2.8871 |
| 2025-05-16 07:22:25,251 - pyskl - INFO - Epoch [142][400/1027] lr: 2.028e-04, eta: 0:57:24, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9334, loss: 2.9334 |
| 2025-05-16 07:23:02,739 - pyskl - INFO - Epoch [142][500/1027] lr: 1.982e-04, eta: 0:56:45, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 2.9870, loss: 2.9870 |
| 2025-05-16 07:23:39,945 - pyskl - INFO - Epoch [142][600/1027] lr: 1.937e-04, eta: 0:56:06, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8804, loss: 2.8804 |
| 2025-05-16 07:24:17,238 - pyskl - INFO - Epoch [142][700/1027] lr: 1.893e-04, eta: 0:55:27, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9843, loss: 2.9843 |
| 2025-05-16 07:24:54,738 - pyskl - INFO - Epoch [142][800/1027] lr: 1.849e-04, eta: 0:54:48, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0303, loss: 3.0303 |
| 2025-05-16 07:25:32,009 - pyskl - INFO - Epoch [142][900/1027] lr: 1.805e-04, eta: 0:54:09, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0578, loss: 3.0578 |
| 2025-05-16 07:26:09,446 - pyskl - INFO - Epoch [142][1000/1027] lr: 1.762e-04, eta: 0:53:30, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9531, loss: 2.9531 |
| 2025-05-16 07:26:20,619 - pyskl - INFO - Saving checkpoint at 142 epochs |
| 2025-05-16 07:26:58,134 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:26:58,205 - pyskl - INFO - |
| top1_acc 0.7303 |
| top5_acc 0.9223 |
| 2025-05-16 07:26:58,206 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:26:58,213 - pyskl - INFO - |
| mean_acc 0.7303 |
| 2025-05-16 07:26:58,215 - pyskl - INFO - Epoch(val) [142][413] top1_acc: 0.7303, top5_acc: 0.9223, mean_class_accuracy: 0.7303 |
| 2025-05-16 07:28:00,923 - pyskl - INFO - Epoch [143][100/1027] lr: 1.709e-04, eta: 0:52:41, time: 0.627, data_time: 0.254, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9505, loss: 2.9505 |
| 2025-05-16 07:28:38,043 - pyskl - INFO - Epoch [143][200/1027] lr: 1.667e-04, eta: 0:52:02, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.0276, loss: 3.0276 |
| 2025-05-16 07:29:15,181 - pyskl - INFO - Epoch [143][300/1027] lr: 1.626e-04, eta: 0:51:23, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9508, loss: 2.9508 |
| 2025-05-16 07:29:52,541 - pyskl - INFO - Epoch [143][400/1027] lr: 1.585e-04, eta: 0:50:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9169, loss: 2.9169 |
| 2025-05-16 07:30:30,008 - pyskl - INFO - Epoch [143][500/1027] lr: 1.545e-04, eta: 0:50:05, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9634, loss: 2.9634 |
| 2025-05-16 07:31:07,307 - pyskl - INFO - Epoch [143][600/1027] lr: 1.505e-04, eta: 0:49:26, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9221, loss: 2.9221 |
| 2025-05-16 07:31:44,572 - pyskl - INFO - Epoch [143][700/1027] lr: 1.466e-04, eta: 0:48:47, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9675, loss: 2.9675 |
| 2025-05-16 07:32:22,195 - pyskl - INFO - Epoch [143][800/1027] lr: 1.427e-04, eta: 0:48:08, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8793, loss: 2.8793 |
| 2025-05-16 07:32:59,637 - pyskl - INFO - Epoch [143][900/1027] lr: 1.389e-04, eta: 0:47:29, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9955, loss: 2.9955 |
| 2025-05-16 07:33:37,281 - pyskl - INFO - Epoch [143][1000/1027] lr: 1.351e-04, eta: 0:46:50, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9584, loss: 2.9584 |
| 2025-05-16 07:33:48,219 - pyskl - INFO - Saving checkpoint at 143 epochs |
| 2025-05-16 07:34:25,935 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:34:26,006 - pyskl - INFO - |
| top1_acc 0.7294 |
| top5_acc 0.9210 |
| 2025-05-16 07:34:26,006 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:34:26,013 - pyskl - INFO - |
| mean_acc 0.7281 |
| 2025-05-16 07:34:26,015 - pyskl - INFO - Epoch(val) [143][413] top1_acc: 0.7294, top5_acc: 0.9210, mean_class_accuracy: 0.7281 |
| 2025-05-16 07:35:28,401 - pyskl - INFO - Epoch [144][100/1027] lr: 1.304e-04, eta: 0:46:01, time: 0.624, data_time: 0.252, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9974, loss: 2.9974 |
| 2025-05-16 07:36:05,485 - pyskl - INFO - Epoch [144][200/1027] lr: 1.268e-04, eta: 0:45:22, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9978, loss: 2.9978 |
| 2025-05-16 07:36:42,589 - pyskl - INFO - Epoch [144][300/1027] lr: 1.232e-04, eta: 0:44:43, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9419, loss: 2.9419 |
| 2025-05-16 07:37:19,692 - pyskl - INFO - Epoch [144][400/1027] lr: 1.196e-04, eta: 0:44:04, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9100, loss: 2.9100 |
| 2025-05-16 07:37:56,802 - pyskl - INFO - Epoch [144][500/1027] lr: 1.162e-04, eta: 0:43:25, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8813, loss: 2.8813 |
| 2025-05-16 07:38:33,932 - pyskl - INFO - Epoch [144][600/1027] lr: 1.127e-04, eta: 0:42:46, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9769, loss: 2.9769 |
| 2025-05-16 07:39:11,036 - pyskl - INFO - Epoch [144][700/1027] lr: 1.093e-04, eta: 0:42:07, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9147, loss: 2.9147 |
| 2025-05-16 07:39:48,466 - pyskl - INFO - Epoch [144][800/1027] lr: 1.060e-04, eta: 0:41:28, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8364, loss: 2.8364 |
| 2025-05-16 07:40:26,108 - pyskl - INFO - Epoch [144][900/1027] lr: 1.027e-04, eta: 0:40:49, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9438, loss: 2.9438 |
| 2025-05-16 07:41:03,671 - pyskl - INFO - Epoch [144][1000/1027] lr: 9.946e-05, eta: 0:40:10, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.9854, loss: 2.9854 |
| 2025-05-16 07:41:14,535 - pyskl - INFO - Saving checkpoint at 144 epochs |
| 2025-05-16 07:41:52,220 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:41:52,295 - pyskl - INFO - |
| top1_acc 0.7357 |
| top5_acc 0.9254 |
| 2025-05-16 07:41:52,295 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:41:52,303 - pyskl - INFO - |
| mean_acc 0.7340 |
| 2025-05-16 07:41:52,361 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_141.pth was removed |
| 2025-05-16 07:41:53,994 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. |
| 2025-05-16 07:41:53,995 - pyskl - INFO - Best top1_acc is 0.7357 at 144 epoch. |
| 2025-05-16 07:41:53,999 - pyskl - INFO - Epoch(val) [144][413] top1_acc: 0.7357, top5_acc: 0.9254, mean_class_accuracy: 0.7340 |
| 2025-05-16 07:42:57,159 - pyskl - INFO - Epoch [145][100/1027] lr: 9.543e-05, eta: 0:39:21, time: 0.632, data_time: 0.259, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9679, loss: 2.9679 |
| 2025-05-16 07:43:34,431 - pyskl - INFO - Epoch [145][200/1027] lr: 9.231e-05, eta: 0:38:42, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8740, loss: 2.8740 |
| 2025-05-16 07:44:12,027 - pyskl - INFO - Epoch [145][300/1027] lr: 8.924e-05, eta: 0:38:03, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8419, loss: 2.8419 |
| 2025-05-16 07:44:49,419 - pyskl - INFO - Epoch [145][400/1027] lr: 8.623e-05, eta: 0:37:24, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9117, loss: 2.9117 |
| 2025-05-16 07:45:26,733 - pyskl - INFO - Epoch [145][500/1027] lr: 8.327e-05, eta: 0:36:45, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9169, loss: 2.9169 |
| 2025-05-16 07:46:04,003 - pyskl - INFO - Epoch [145][600/1027] lr: 8.035e-05, eta: 0:36:06, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8409, loss: 2.8409 |
| 2025-05-16 07:46:41,265 - pyskl - INFO - Epoch [145][700/1027] lr: 7.749e-05, eta: 0:35:27, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9094, loss: 2.9094 |
| 2025-05-16 07:47:18,321 - pyskl - INFO - Epoch [145][800/1027] lr: 7.469e-05, eta: 0:34:48, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9344, loss: 2.9344 |
| 2025-05-16 07:47:55,990 - pyskl - INFO - Epoch [145][900/1027] lr: 7.193e-05, eta: 0:34:09, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8289, loss: 2.8289 |
| 2025-05-16 07:48:33,302 - pyskl - INFO - Epoch [145][1000/1027] lr: 6.922e-05, eta: 0:33:30, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9076, loss: 2.9076 |
| 2025-05-16 07:48:44,309 - pyskl - INFO - Saving checkpoint at 145 epochs |
| 2025-05-16 07:49:22,060 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:49:22,130 - pyskl - INFO - |
| top1_acc 0.7386 |
| top5_acc 0.9244 |
| 2025-05-16 07:49:22,130 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:49:22,138 - pyskl - INFO - |
| mean_acc 0.7365 |
| 2025-05-16 07:49:22,198 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/b_2/best_top1_acc_epoch_144.pth was removed |
| 2025-05-16 07:49:23,797 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_145.pth. |
| 2025-05-16 07:49:23,799 - pyskl - INFO - Best top1_acc is 0.7386 at 145 epoch. |
| 2025-05-16 07:49:23,801 - pyskl - INFO - Epoch(val) [145][413] top1_acc: 0.7386, top5_acc: 0.9244, mean_class_accuracy: 0.7365 |
| 2025-05-16 07:50:26,994 - pyskl - INFO - Epoch [146][100/1027] lr: 6.586e-05, eta: 0:32:41, time: 0.632, data_time: 0.259, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8707, loss: 2.8707 |
| 2025-05-16 07:51:04,442 - pyskl - INFO - Epoch [146][200/1027] lr: 6.328e-05, eta: 0:32:02, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9858, loss: 2.9858 |
| 2025-05-16 07:51:41,851 - pyskl - INFO - Epoch [146][300/1027] lr: 6.074e-05, eta: 0:31:23, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8062, loss: 2.8062 |
| 2025-05-16 07:52:19,287 - pyskl - INFO - Epoch [146][400/1027] lr: 5.826e-05, eta: 0:30:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8589, loss: 2.8589 |
| 2025-05-16 07:52:56,775 - pyskl - INFO - Epoch [146][500/1027] lr: 5.582e-05, eta: 0:30:05, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0280, loss: 3.0280 |
| 2025-05-16 07:53:34,146 - pyskl - INFO - Epoch [146][600/1027] lr: 5.344e-05, eta: 0:29:26, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0032, loss: 3.0032 |
| 2025-05-16 07:54:11,414 - pyskl - INFO - Epoch [146][700/1027] lr: 5.111e-05, eta: 0:28:47, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9375, loss: 2.9375 |
| 2025-05-16 07:54:48,729 - pyskl - INFO - Epoch [146][800/1027] lr: 4.884e-05, eta: 0:28:08, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8711, loss: 2.8711 |
| 2025-05-16 07:55:26,282 - pyskl - INFO - Epoch [146][900/1027] lr: 4.661e-05, eta: 0:27:29, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8314, loss: 2.8314 |
| 2025-05-16 07:56:03,856 - pyskl - INFO - Epoch [146][1000/1027] lr: 4.444e-05, eta: 0:26:50, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9193, loss: 2.9193 |
| 2025-05-16 07:56:14,842 - pyskl - INFO - Saving checkpoint at 146 epochs |
| 2025-05-16 07:56:52,836 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 07:56:52,907 - pyskl - INFO - |
| top1_acc 0.7325 |
| top5_acc 0.9244 |
| 2025-05-16 07:56:52,907 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 07:56:52,915 - pyskl - INFO - |
| mean_acc 0.7309 |
| 2025-05-16 07:56:52,916 - pyskl - INFO - Epoch(val) [146][413] top1_acc: 0.7325, top5_acc: 0.9244, mean_class_accuracy: 0.7309 |
| 2025-05-16 07:57:55,942 - pyskl - INFO - Epoch [147][100/1027] lr: 4.175e-05, eta: 0:26:01, time: 0.630, data_time: 0.257, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8950, loss: 2.8950 |
| 2025-05-16 07:58:33,248 - pyskl - INFO - Epoch [147][200/1027] lr: 3.970e-05, eta: 0:25:22, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9377, loss: 2.9377 |
| 2025-05-16 07:59:10,335 - pyskl - INFO - Epoch [147][300/1027] lr: 3.769e-05, eta: 0:24:43, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9859, loss: 2.9859 |
| 2025-05-16 07:59:47,911 - pyskl - INFO - Epoch [147][400/1027] lr: 3.574e-05, eta: 0:24:04, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9187, loss: 2.9187 |
| 2025-05-16 08:00:25,504 - pyskl - INFO - Epoch [147][500/1027] lr: 3.384e-05, eta: 0:23:25, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0069, loss: 3.0069 |
| 2025-05-16 08:01:03,004 - pyskl - INFO - Epoch [147][600/1027] lr: 3.199e-05, eta: 0:22:46, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9063, loss: 2.9063 |
| 2025-05-16 08:01:40,561 - pyskl - INFO - Epoch [147][700/1027] lr: 3.020e-05, eta: 0:22:07, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9641, loss: 2.9641 |
| 2025-05-16 08:02:17,870 - pyskl - INFO - Epoch [147][800/1027] lr: 2.845e-05, eta: 0:21:28, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9945, loss: 2.9945 |
| 2025-05-16 08:02:55,277 - pyskl - INFO - Epoch [147][900/1027] lr: 2.676e-05, eta: 0:20:49, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9343, loss: 2.9343 |
| 2025-05-16 08:03:32,850 - pyskl - INFO - Epoch [147][1000/1027] lr: 2.512e-05, eta: 0:20:10, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0106, loss: 3.0106 |
| 2025-05-16 08:03:43,816 - pyskl - INFO - Saving checkpoint at 147 epochs |
| 2025-05-16 08:04:21,868 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 08:04:21,949 - pyskl - INFO - |
| top1_acc 0.7357 |
| top5_acc 0.9259 |
| 2025-05-16 08:04:21,949 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 08:04:21,957 - pyskl - INFO - |
| mean_acc 0.7345 |
| 2025-05-16 08:04:21,959 - pyskl - INFO - Epoch(val) [147][413] top1_acc: 0.7357, top5_acc: 0.9259, mean_class_accuracy: 0.7345 |
| 2025-05-16 08:05:24,682 - pyskl - INFO - Epoch [148][100/1027] lr: 2.311e-05, eta: 0:19:21, time: 0.627, data_time: 0.256, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9227, loss: 2.9227 |
| 2025-05-16 08:06:01,984 - pyskl - INFO - Epoch [148][200/1027] lr: 2.158e-05, eta: 0:18:42, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9287, loss: 2.9287 |
| 2025-05-16 08:06:39,204 - pyskl - INFO - Epoch [148][300/1027] lr: 2.011e-05, eta: 0:18:03, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9338, loss: 2.9338 |
| 2025-05-16 08:07:16,954 - pyskl - INFO - Epoch [148][400/1027] lr: 1.869e-05, eta: 0:17:24, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 2.9239, loss: 2.9239 |
| 2025-05-16 08:07:54,623 - pyskl - INFO - Epoch [148][500/1027] lr: 1.732e-05, eta: 0:16:45, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9478, loss: 2.9478 |
| 2025-05-16 08:08:31,733 - pyskl - INFO - Epoch [148][600/1027] lr: 1.601e-05, eta: 0:16:06, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9615, loss: 2.9615 |
| 2025-05-16 08:09:08,875 - pyskl - INFO - Epoch [148][700/1027] lr: 1.475e-05, eta: 0:15:27, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9269, loss: 2.9269 |
| 2025-05-16 08:09:46,437 - pyskl - INFO - Epoch [148][800/1027] lr: 1.353e-05, eta: 0:14:48, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8946, loss: 2.8946 |
| 2025-05-16 08:10:23,948 - pyskl - INFO - Epoch [148][900/1027] lr: 1.237e-05, eta: 0:14:09, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8516, loss: 2.8516 |
| 2025-05-16 08:11:01,551 - pyskl - INFO - Epoch [148][1000/1027] lr: 1.127e-05, eta: 0:13:30, time: 0.376, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9425, loss: 2.9425 |
| 2025-05-16 08:11:12,704 - pyskl - INFO - Saving checkpoint at 148 epochs |
| 2025-05-16 08:11:50,410 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 08:11:50,481 - pyskl - INFO - |
| top1_acc 0.7325 |
| top5_acc 0.9210 |
| 2025-05-16 08:11:50,481 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 08:11:50,488 - pyskl - INFO - |
| mean_acc 0.7289 |
| 2025-05-16 08:11:50,489 - pyskl - INFO - Epoch(val) [148][413] top1_acc: 0.7325, top5_acc: 0.9210, mean_class_accuracy: 0.7289 |
| 2025-05-16 08:12:53,104 - pyskl - INFO - Epoch [149][100/1027] lr: 9.933e-06, eta: 0:12:41, time: 0.626, data_time: 0.253, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9517, loss: 2.9517 |
| 2025-05-16 08:13:30,272 - pyskl - INFO - Epoch [149][200/1027] lr: 8.943e-06, eta: 0:12:02, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8051, loss: 2.8051 |
| 2025-05-16 08:14:07,389 - pyskl - INFO - Epoch [149][300/1027] lr: 8.005e-06, eta: 0:11:23, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9137, loss: 2.9137 |
| 2025-05-16 08:14:44,751 - pyskl - INFO - Epoch [149][400/1027] lr: 7.119e-06, eta: 0:10:44, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9424, loss: 2.9424 |
| 2025-05-16 08:15:22,103 - pyskl - INFO - Epoch [149][500/1027] lr: 6.285e-06, eta: 0:10:05, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 2.9472, loss: 2.9472 |
| 2025-05-16 08:15:59,297 - pyskl - INFO - Epoch [149][600/1027] lr: 5.502e-06, eta: 0:09:26, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9727, loss: 2.9727 |
| 2025-05-16 08:16:36,467 - pyskl - INFO - Epoch [149][700/1027] lr: 4.772e-06, eta: 0:08:47, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9015, loss: 2.9015 |
| 2025-05-16 08:17:13,860 - pyskl - INFO - Epoch [149][800/1027] lr: 4.094e-06, eta: 0:08:08, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9486, loss: 2.9486 |
| 2025-05-16 08:17:51,171 - pyskl - INFO - Epoch [149][900/1027] lr: 3.467e-06, eta: 0:07:29, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.9370, loss: 2.9370 |
| 2025-05-16 08:18:28,477 - pyskl - INFO - Epoch [149][1000/1027] lr: 2.893e-06, eta: 0:06:50, time: 0.373, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9553, loss: 2.9553 |
| 2025-05-16 08:18:39,709 - pyskl - INFO - Saving checkpoint at 149 epochs |
| 2025-05-16 08:19:17,605 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 08:19:17,676 - pyskl - INFO - |
| top1_acc 0.7325 |
| top5_acc 0.9233 |
| 2025-05-16 08:19:17,676 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 08:19:17,684 - pyskl - INFO - |
| mean_acc 0.7307 |
| 2025-05-16 08:19:17,685 - pyskl - INFO - Epoch(val) [149][413] top1_acc: 0.7325, top5_acc: 0.9233, mean_class_accuracy: 0.7307 |
| 2025-05-16 08:20:20,816 - pyskl - INFO - Epoch [150][100/1027] lr: 2.238e-06, eta: 0:06:01, time: 0.631, data_time: 0.255, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9341, loss: 2.9341 |
| 2025-05-16 08:20:57,918 - pyskl - INFO - Epoch [150][200/1027] lr: 1.782e-06, eta: 0:05:22, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 2.9344, loss: 2.9344 |
| 2025-05-16 08:21:35,015 - pyskl - INFO - Epoch [150][300/1027] lr: 1.378e-06, eta: 0:04:43, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9548, loss: 2.9548 |
| 2025-05-16 08:22:12,378 - pyskl - INFO - Epoch [150][400/1027] lr: 1.025e-06, eta: 0:04:04, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.9559, loss: 2.9559 |
| 2025-05-16 08:22:49,767 - pyskl - INFO - Epoch [150][500/1027] lr: 7.246e-07, eta: 0:03:25, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0849, loss: 3.0849 |
| 2025-05-16 08:23:26,922 - pyskl - INFO - Epoch [150][600/1027] lr: 4.761e-07, eta: 0:02:46, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9430, loss: 2.9430 |
| 2025-05-16 08:24:04,026 - pyskl - INFO - Epoch [150][700/1027] lr: 2.796e-07, eta: 0:02:07, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0046, loss: 3.0046 |
| 2025-05-16 08:24:41,192 - pyskl - INFO - Epoch [150][800/1027] lr: 1.351e-07, eta: 0:01:28, time: 0.372, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8914, loss: 2.8914 |
| 2025-05-16 08:25:18,663 - pyskl - INFO - Epoch [150][900/1027] lr: 4.259e-08, eta: 0:00:49, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8972, loss: 2.8972 |
| 2025-05-16 08:25:56,019 - pyskl - INFO - Epoch [150][1000/1027] lr: 2.038e-09, eta: 0:00:10, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0039, loss: 3.0039 |
| 2025-05-16 08:26:06,926 - pyskl - INFO - Saving checkpoint at 150 epochs |
| 2025-05-16 08:26:45,233 - pyskl - INFO - Evaluating top_k_accuracy ... |
| 2025-05-16 08:26:45,305 - pyskl - INFO - |
| top1_acc 0.7260 |
| top5_acc 0.9224 |
| 2025-05-16 08:26:45,306 - pyskl - INFO - Evaluating mean_class_accuracy ... |
| 2025-05-16 08:26:45,315 - pyskl - INFO - |
| mean_acc 0.7229 |
| 2025-05-16 08:26:45,317 - pyskl - INFO - Epoch(val) [150][413] top1_acc: 0.7260, top5_acc: 0.9224, mean_class_accuracy: 0.7229 |
| 2025-05-16 08:26:54,827 - pyskl - INFO - 6599 videos remain after valid thresholding |
| 2025-05-16 08:30:20,644 - pyskl - INFO - Testing results of the last checkpoint |
| 2025-05-16 08:30:20,644 - pyskl - INFO - top1_acc: 0.7331 |
| 2025-05-16 08:30:20,644 - pyskl - INFO - top5_acc: 0.9223 |
| 2025-05-16 08:30:20,644 - pyskl - INFO - mean_class_accuracy: 0.7301 |
| 2025-05-16 08:30:20,645 - pyskl - INFO - load checkpoint from local path: ./work_dirs/uav_csv2/b_2/best_top1_acc_epoch_145.pth |
| 2025-05-16 08:33:48,199 - pyskl - INFO - Testing results of the best checkpoint |
| 2025-05-16 08:33:48,200 - pyskl - INFO - top1_acc: 0.7395 |
| 2025-05-16 08:33:48,200 - pyskl - INFO - top5_acc: 0.9267 |
| 2025-05-16 08:33:48,200 - pyskl - INFO - mean_class_accuracy: 0.7373 |
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