2025-05-05 14:59:28,564 - 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 0,1: 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+ ------------------------------------------------------------ 2025-05-05 14:59:28,872 - pyskl - INFO - Config: modality = 'bm' graph = 'uav' work_dir = './work_dirs/uav_csv1/bm' model = dict( type='RecognizerGCN', backbone=dict( type='GCN_Module_LLM', llm_model='gpt4o', 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_csv1/bm', interval_epoch=50, weight_1=0.2, weight_2=0.5)) dataset_type = 'PoseDataset' ann_file = '/data/lhd/pyskl_data/uav/uav_human_CSv1.pkl' train_pipeline = [ dict(type='UniformSampleFrames', clip_len=100), dict(type='PoseDecode'), dict(type='GenSkeFeat', dataset='uav', feats=['bm']), 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=['bm']), 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=['bm']), 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_CSv1.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100), dict(type='PoseDecode'), dict(type='GenSkeFeat', dataset='uav', feats=['bm']), 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_CSv1.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100, num_clips=1), dict(type='PoseDecode'), dict(type='GenSkeFeat', dataset='uav', feats=['bm']), 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_CSv1.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100, num_clips=10), dict(type='PoseDecode'), dict(type='GenSkeFeat', dataset='uav', feats=['bm']), 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=0.05, 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 = 300 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, 2) 2025-05-05 14:59:31,763 - pyskl - INFO - Set random seed to 787509039, deterministic: False 2025-05-05 14:59:41,569 - pyskl - INFO - 16724 videos remain after valid thresholding 2025-05-05 14:59:48,618 - pyskl - INFO - 6307 videos remain after valid thresholding 2025-05-05 14:59:48,672 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/uav_csv1/bm 2025-05-05 14:59:48,672 - 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 -------------------- 2025-05-05 14:59:48,672 - pyskl - INFO - workflow: [('train', 1)], max: 300 epochs 2025-05-05 14:59:48,672 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/uav_csv1/bm by HardDiskBackend. 2025-05-05 15:00:56,637 - pyskl - INFO - Epoch [1][100/523] lr: 5.000e-02, eta: 1 day, 5:36:01, time: 0.680, data_time: 0.252, memory: 7954, top1_acc: 0.0109, top5_acc: 0.0584, loss_cls: 12.6272, loss: 12.6272 2025-05-05 15:01:39,630 - pyskl - INFO - Epoch [1][200/523] lr: 5.000e-02, eta: 1 day, 0:08:50, time: 0.430, data_time: 0.000, memory: 7954, top1_acc: 0.0144, top5_acc: 0.0647, loss_cls: 11.9112, loss: 11.9112 2025-05-05 15:02:23,077 - pyskl - INFO - Epoch [1][300/523] lr: 5.000e-02, eta: 22:23:15, time: 0.434, data_time: 0.000, memory: 7954, top1_acc: 0.0131, top5_acc: 0.0659, loss_cls: 11.7591, loss: 11.7591 2025-05-05 15:03:05,606 - pyskl - INFO - Epoch [1][400/523] lr: 5.000e-02, eta: 21:23:56, time: 0.425, data_time: 0.000, memory: 7954, top1_acc: 0.0191, top5_acc: 0.0819, loss_cls: 11.7847, loss: 11.7847 2025-05-05 15:03:49,122 - pyskl - INFO - Epoch [1][500/523] lr: 5.000e-02, eta: 20:53:29, time: 0.435, data_time: 0.000, memory: 7954, top1_acc: 0.0156, top5_acc: 0.0778, loss_cls: 11.5873, loss: 11.5873 2025-05-05 15:04:00,218 - pyskl - INFO - Saving checkpoint at 1 epochs 2025-05-05 15:04:29,137 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:04:29,200 - pyskl - INFO - top1_acc 0.0057 top5_acc 0.0417 2025-05-05 15:04:29,201 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:04:29,207 - pyskl - INFO - mean_acc 0.0066 2025-05-05 15:04:30,896 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2025-05-05 15:04:30,897 - pyskl - INFO - Best top1_acc is 0.0057 at 1 epoch. 2025-05-05 15:04:30,900 - pyskl - INFO - Epoch(val) [1][198] top1_acc: 0.0057, top5_acc: 0.0417, mean_class_accuracy: 0.0066 2025-05-05 15:05:39,046 - pyskl - INFO - Epoch [2][100/523] lr: 5.000e-02, eta: 21:30:06, time: 0.681, data_time: 0.259, memory: 7954, top1_acc: 0.0147, top5_acc: 0.0972, loss_cls: 11.3925, loss: 11.3925 2025-05-05 15:06:22,351 - pyskl - INFO - Epoch [2][200/523] lr: 5.000e-02, eta: 21:06:50, time: 0.433, data_time: 0.000, memory: 7954, top1_acc: 0.0213, top5_acc: 0.1016, loss_cls: 11.3488, loss: 11.3488 2025-05-05 15:07:05,070 - pyskl - INFO - Epoch [2][300/523] lr: 5.000e-02, eta: 20:47:14, time: 0.427, data_time: 0.000, memory: 7954, top1_acc: 0.0200, top5_acc: 0.1100, loss_cls: 11.2625, loss: 11.2625 2025-05-05 15:07:48,877 - pyskl - INFO - Epoch [2][400/523] lr: 5.000e-02, eta: 20:34:46, time: 0.438, data_time: 0.000, memory: 7954, top1_acc: 0.0275, top5_acc: 0.1222, loss_cls: 11.1445, loss: 11.1445 2025-05-05 15:08:32,197 - pyskl - INFO - Epoch [2][500/523] lr: 4.999e-02, eta: 20:23:22, time: 0.433, data_time: 0.000, memory: 7954, top1_acc: 0.0328, top5_acc: 0.1359, loss_cls: 11.0891, loss: 11.0891 2025-05-05 15:08:42,963 - pyskl - INFO - Saving checkpoint at 2 epochs 2025-05-05 15:09:11,558 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:09:11,628 - pyskl - INFO - top1_acc 0.0160 top5_acc 0.0937 2025-05-05 15:09:11,629 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:09:11,635 - pyskl - INFO - mean_acc 0.0178 2025-05-05 15:09:11,693 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_1.pth was removed 2025-05-05 15:09:13,341 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2025-05-05 15:09:13,343 - pyskl - INFO - Best top1_acc is 0.0160 at 2 epoch. 2025-05-05 15:09:13,346 - pyskl - INFO - Epoch(val) [2][198] top1_acc: 0.0160, top5_acc: 0.0937, mean_class_accuracy: 0.0178 2025-05-05 15:10:21,211 - pyskl - INFO - Epoch [3][100/523] lr: 4.999e-02, eta: 20:44:55, time: 0.679, data_time: 0.260, memory: 7957, top1_acc: 0.0362, top5_acc: 0.1478, loss_cls: 10.8794, loss: 10.8794 2025-05-05 15:11:04,106 - pyskl - INFO - Epoch [3][200/523] lr: 4.999e-02, eta: 20:33:34, time: 0.429, data_time: 0.000, memory: 7957, top1_acc: 0.0406, top5_acc: 0.1663, loss_cls: 10.7493, loss: 10.7493 2025-05-05 15:11:47,186 - pyskl - INFO - Epoch [3][300/523] lr: 4.999e-02, eta: 20:24:09, time: 0.431, data_time: 0.000, memory: 7957, top1_acc: 0.0441, top5_acc: 0.1775, loss_cls: 10.6861, loss: 10.6861 2025-05-05 15:12:29,998 - pyskl - INFO - Epoch [3][400/523] lr: 4.999e-02, eta: 20:15:29, time: 0.428, data_time: 0.000, memory: 7957, top1_acc: 0.0469, top5_acc: 0.1900, loss_cls: 10.5971, loss: 10.5971 2025-05-05 15:13:13,468 - pyskl - INFO - Epoch [3][500/523] lr: 4.999e-02, eta: 20:08:56, time: 0.435, data_time: 0.000, memory: 7957, top1_acc: 0.0544, top5_acc: 0.2022, loss_cls: 10.5486, loss: 10.5486 2025-05-05 15:13:24,467 - pyskl - INFO - Saving checkpoint at 3 epochs 2025-05-05 15:13:52,561 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:13:52,629 - pyskl - INFO - top1_acc 0.0366 top5_acc 0.1432 2025-05-05 15:13:52,629 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:13:52,636 - pyskl - INFO - mean_acc 0.0376 2025-05-05 15:13:52,696 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_2.pth was removed 2025-05-05 15:13:54,304 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2025-05-05 15:13:54,306 - pyskl - INFO - Best top1_acc is 0.0366 at 3 epoch. 2025-05-05 15:13:54,308 - pyskl - INFO - Epoch(val) [3][198] top1_acc: 0.0366, top5_acc: 0.1432, mean_class_accuracy: 0.0376 2025-05-05 15:15:01,530 - pyskl - INFO - Epoch [4][100/523] lr: 4.999e-02, eta: 20:23:08, time: 0.672, data_time: 0.253, memory: 7957, top1_acc: 0.0597, top5_acc: 0.2206, loss_cls: 10.3846, loss: 10.3846 2025-05-05 15:15:43,848 - pyskl - INFO - Epoch [4][200/523] lr: 4.998e-02, eta: 20:15:06, time: 0.423, data_time: 0.000, memory: 7957, top1_acc: 0.0603, top5_acc: 0.2128, loss_cls: 10.3948, loss: 10.3948 2025-05-05 15:16:27,409 - pyskl - INFO - Epoch [4][300/523] lr: 4.998e-02, eta: 20:09:33, time: 0.435, data_time: 0.000, memory: 7957, top1_acc: 0.0650, top5_acc: 0.2469, loss_cls: 10.2890, loss: 10.2890 2025-05-05 15:17:10,758 - pyskl - INFO - Epoch [4][400/523] lr: 4.998e-02, eta: 20:04:13, time: 0.433, data_time: 0.000, memory: 7957, top1_acc: 0.0663, top5_acc: 0.2550, loss_cls: 10.2116, loss: 10.2116 2025-05-05 15:17:54,125 - pyskl - INFO - Epoch [4][500/523] lr: 4.998e-02, eta: 19:59:23, time: 0.434, data_time: 0.000, memory: 7957, top1_acc: 0.0769, top5_acc: 0.2794, loss_cls: 10.1934, loss: 10.1934 2025-05-05 15:18:04,941 - pyskl - INFO - Saving checkpoint at 4 epochs 2025-05-05 15:18:33,432 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:18:33,498 - pyskl - INFO - top1_acc 0.0346 top5_acc 0.1576 2025-05-05 15:18:33,499 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:18:33,506 - pyskl - INFO - mean_acc 0.0363 2025-05-05 15:18:33,507 - pyskl - INFO - Epoch(val) [4][198] top1_acc: 0.0346, top5_acc: 0.1576, mean_class_accuracy: 0.0363 2025-05-05 15:19:42,004 - pyskl - INFO - Epoch [5][100/523] lr: 4.998e-02, eta: 20:11:45, time: 0.685, data_time: 0.261, memory: 7957, top1_acc: 0.0916, top5_acc: 0.3044, loss_cls: 10.0248, loss: 10.0248 2025-05-05 15:20:24,928 - pyskl - INFO - Epoch [5][200/523] lr: 4.997e-02, eta: 20:06:23, time: 0.429, data_time: 0.000, memory: 7957, top1_acc: 0.1013, top5_acc: 0.3303, loss_cls: 9.9233, loss: 9.9233 2025-05-05 15:21:07,997 - pyskl - INFO - Epoch [5][300/523] lr: 4.997e-02, eta: 20:01:34, time: 0.431, data_time: 0.000, memory: 7957, top1_acc: 0.0950, top5_acc: 0.3366, loss_cls: 9.8796, loss: 9.8796 2025-05-05 15:21:50,953 - pyskl - INFO - Epoch [5][400/523] lr: 4.997e-02, eta: 19:56:58, time: 0.430, data_time: 0.000, memory: 7957, top1_acc: 0.1009, top5_acc: 0.3584, loss_cls: 9.7224, loss: 9.7224 2025-05-05 15:22:33,577 - pyskl - INFO - Epoch [5][500/523] lr: 4.997e-02, eta: 19:52:20, time: 0.426, data_time: 0.000, memory: 7957, top1_acc: 0.1156, top5_acc: 0.3975, loss_cls: 9.6461, loss: 9.6461 2025-05-05 15:22:44,525 - pyskl - INFO - Saving checkpoint at 5 epochs 2025-05-05 15:23:13,239 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:23:13,306 - pyskl - INFO - top1_acc 0.0804 top5_acc 0.2727 2025-05-05 15:23:13,306 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:23:13,313 - pyskl - INFO - mean_acc 0.0813 2025-05-05 15:23:13,372 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_3.pth was removed 2025-05-05 15:23:14,996 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. 2025-05-05 15:23:14,998 - pyskl - INFO - Best top1_acc is 0.0804 at 5 epoch. 2025-05-05 15:23:15,000 - pyskl - INFO - Epoch(val) [5][198] top1_acc: 0.0804, top5_acc: 0.2727, mean_class_accuracy: 0.0813 2025-05-05 15:24:22,676 - pyskl - INFO - Epoch [6][100/523] lr: 4.996e-02, eta: 20:01:27, time: 0.677, data_time: 0.254, memory: 7957, top1_acc: 0.1263, top5_acc: 0.4309, loss_cls: 9.4593, loss: 9.4593 2025-05-05 15:25:05,016 - pyskl - INFO - Epoch [6][200/523] lr: 4.996e-02, eta: 19:56:39, time: 0.423, data_time: 0.000, memory: 7957, top1_acc: 0.1472, top5_acc: 0.4456, loss_cls: 9.3161, loss: 9.3161 2025-05-05 15:25:47,803 - pyskl - INFO - Epoch [6][300/523] lr: 4.996e-02, eta: 19:52:31, time: 0.428, data_time: 0.000, memory: 7957, top1_acc: 0.1528, top5_acc: 0.4600, loss_cls: 9.2469, loss: 9.2469 2025-05-05 15:26:30,918 - pyskl - INFO - Epoch [6][400/523] lr: 4.995e-02, eta: 19:48:53, time: 0.431, data_time: 0.000, memory: 7957, top1_acc: 0.1569, top5_acc: 0.4616, loss_cls: 9.1952, loss: 9.1952 2025-05-05 15:27:13,711 - pyskl - INFO - Epoch [6][500/523] lr: 4.995e-02, eta: 19:45:11, time: 0.428, data_time: 0.000, memory: 7957, top1_acc: 0.1397, top5_acc: 0.4700, loss_cls: 9.1919, loss: 9.1919 2025-05-05 15:27:24,379 - pyskl - INFO - Saving checkpoint at 6 epochs 2025-05-05 15:27:53,252 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:27:53,322 - pyskl - INFO - top1_acc 0.0931 top5_acc 0.2897 2025-05-05 15:27:53,322 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:27:53,329 - pyskl - INFO - mean_acc 0.0937 2025-05-05 15:27:53,388 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_5.pth was removed 2025-05-05 15:27:55,048 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. 2025-05-05 15:27:55,050 - pyskl - INFO - Best top1_acc is 0.0931 at 6 epoch. 2025-05-05 15:27:55,053 - pyskl - INFO - Epoch(val) [6][198] top1_acc: 0.0931, top5_acc: 0.2897, mean_class_accuracy: 0.0937 2025-05-05 15:29:03,821 - pyskl - INFO - Epoch [7][100/523] lr: 4.995e-02, eta: 19:53:38, time: 0.688, data_time: 0.262, memory: 7960, top1_acc: 0.1628, top5_acc: 0.4897, loss_cls: 9.0395, loss: 9.0395 2025-05-05 15:29:46,372 - pyskl - INFO - Epoch [7][200/523] lr: 4.994e-02, eta: 19:49:44, time: 0.425, data_time: 0.000, memory: 7960, top1_acc: 0.1844, top5_acc: 0.5203, loss_cls: 8.9921, loss: 8.9921 2025-05-05 15:30:30,545 - pyskl - INFO - Epoch [7][300/523] lr: 4.994e-02, eta: 19:47:15, time: 0.442, data_time: 0.000, memory: 7960, top1_acc: 0.1872, top5_acc: 0.5259, loss_cls: 8.9511, loss: 8.9511 2025-05-05 15:31:13,857 - pyskl - INFO - Epoch [7][400/523] lr: 4.994e-02, eta: 19:44:14, time: 0.433, data_time: 0.000, memory: 7960, top1_acc: 0.1909, top5_acc: 0.5391, loss_cls: 8.8048, loss: 8.8048 2025-05-05 15:31:57,000 - pyskl - INFO - Epoch [7][500/523] lr: 4.993e-02, eta: 19:41:13, time: 0.431, data_time: 0.000, memory: 7960, top1_acc: 0.2016, top5_acc: 0.5472, loss_cls: 8.7728, loss: 8.7728 2025-05-05 15:32:08,106 - pyskl - INFO - Saving checkpoint at 7 epochs 2025-05-05 15:32:36,583 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:32:36,649 - pyskl - INFO - top1_acc 0.1183 top5_acc 0.3366 2025-05-05 15:32:36,649 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:32:36,655 - pyskl - INFO - mean_acc 0.1186 2025-05-05 15:32:36,716 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_6.pth was removed 2025-05-05 15:32:38,324 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. 2025-05-05 15:32:38,325 - pyskl - INFO - Best top1_acc is 0.1183 at 7 epoch. 2025-05-05 15:32:38,328 - pyskl - INFO - Epoch(val) [7][198] top1_acc: 0.1183, top5_acc: 0.3366, mean_class_accuracy: 0.1186 2025-05-05 15:33:46,739 - pyskl - INFO - Epoch [8][100/523] lr: 4.993e-02, eta: 19:48:05, time: 0.684, data_time: 0.256, memory: 7960, top1_acc: 0.2241, top5_acc: 0.5750, loss_cls: 8.6506, loss: 8.6506 2025-05-05 15:34:29,508 - pyskl - INFO - Epoch [8][200/523] lr: 4.993e-02, eta: 19:44:49, time: 0.428, data_time: 0.000, memory: 7960, top1_acc: 0.2275, top5_acc: 0.5556, loss_cls: 8.6735, loss: 8.6735 2025-05-05 15:35:12,392 - pyskl - INFO - Epoch [8][300/523] lr: 4.992e-02, eta: 19:41:45, time: 0.429, data_time: 0.000, memory: 7960, top1_acc: 0.2125, top5_acc: 0.5656, loss_cls: 8.6170, loss: 8.6170 2025-05-05 15:35:55,451 - pyskl - INFO - Epoch [8][400/523] lr: 4.992e-02, eta: 19:38:54, time: 0.431, data_time: 0.000, memory: 7960, top1_acc: 0.2191, top5_acc: 0.5872, loss_cls: 8.5328, loss: 8.5328 2025-05-05 15:36:38,017 - pyskl - INFO - Epoch [8][500/523] lr: 4.991e-02, eta: 19:35:51, time: 0.426, data_time: 0.000, memory: 7960, top1_acc: 0.2372, top5_acc: 0.5866, loss_cls: 8.5004, loss: 8.5004 2025-05-05 15:36:48,475 - pyskl - INFO - Saving checkpoint at 8 epochs 2025-05-05 15:37:17,018 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:37:17,088 - pyskl - INFO - top1_acc 0.1479 top5_acc 0.3663 2025-05-05 15:37:17,088 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:37:17,096 - pyskl - INFO - mean_acc 0.1476 2025-05-05 15:37:17,162 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_7.pth was removed 2025-05-05 15:37:18,842 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. 2025-05-05 15:37:18,844 - pyskl - INFO - Best top1_acc is 0.1479 at 8 epoch. 2025-05-05 15:37:18,846 - pyskl - INFO - Epoch(val) [8][198] top1_acc: 0.1479, top5_acc: 0.3663, mean_class_accuracy: 0.1476 2025-05-05 15:38:27,224 - pyskl - INFO - Epoch [9][100/523] lr: 4.991e-02, eta: 19:41:46, time: 0.684, data_time: 0.258, memory: 7963, top1_acc: 0.2416, top5_acc: 0.6019, loss_cls: 8.4246, loss: 8.4246 2025-05-05 15:39:09,996 - pyskl - INFO - Epoch [9][200/523] lr: 4.990e-02, eta: 19:38:51, time: 0.428, data_time: 0.000, memory: 7963, top1_acc: 0.2622, top5_acc: 0.6097, loss_cls: 8.3633, loss: 8.3633 2025-05-05 15:39:51,816 - pyskl - INFO - Epoch [9][300/523] lr: 4.990e-02, eta: 19:35:30, time: 0.418, data_time: 0.000, memory: 7963, top1_acc: 0.2456, top5_acc: 0.5956, loss_cls: 8.4383, loss: 8.4383 2025-05-05 15:40:34,954 - pyskl - INFO - Epoch [9][400/523] lr: 4.989e-02, eta: 19:32:59, time: 0.431, data_time: 0.000, memory: 7963, top1_acc: 0.2353, top5_acc: 0.6047, loss_cls: 8.4620, loss: 8.4620 2025-05-05 15:41:18,893 - pyskl - INFO - Epoch [9][500/523] lr: 4.989e-02, eta: 19:31:00, time: 0.439, data_time: 0.000, memory: 7963, top1_acc: 0.2634, top5_acc: 0.6106, loss_cls: 8.3502, loss: 8.3502 2025-05-05 15:41:30,059 - pyskl - INFO - Saving checkpoint at 9 epochs 2025-05-05 15:41:58,193 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:41:58,260 - pyskl - INFO - top1_acc 0.1402 top5_acc 0.3533 2025-05-05 15:41:58,260 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:41:58,268 - pyskl - INFO - mean_acc 0.1408 2025-05-05 15:41:58,269 - pyskl - INFO - Epoch(val) [9][198] top1_acc: 0.1402, top5_acc: 0.3533, mean_class_accuracy: 0.1408 2025-05-05 15:43:08,642 - pyskl - INFO - Epoch [10][100/523] lr: 4.988e-02, eta: 19:37:13, time: 0.704, data_time: 0.265, memory: 7963, top1_acc: 0.2841, top5_acc: 0.6416, loss_cls: 8.1442, loss: 8.1442 2025-05-05 15:43:50,952 - pyskl - INFO - Epoch [10][200/523] lr: 4.988e-02, eta: 19:34:18, time: 0.423, data_time: 0.000, memory: 7963, top1_acc: 0.2722, top5_acc: 0.6262, loss_cls: 8.1803, loss: 8.1803 2025-05-05 15:44:34,721 - pyskl - INFO - Epoch [10][300/523] lr: 4.987e-02, eta: 19:32:13, time: 0.438, data_time: 0.000, memory: 7963, top1_acc: 0.2809, top5_acc: 0.6466, loss_cls: 8.2582, loss: 8.2582 2025-05-05 15:45:17,912 - pyskl - INFO - Epoch [10][400/523] lr: 4.987e-02, eta: 19:29:55, time: 0.432, data_time: 0.000, memory: 7963, top1_acc: 0.2800, top5_acc: 0.6494, loss_cls: 8.1179, loss: 8.1179 2025-05-05 15:46:00,881 - pyskl - INFO - Epoch [10][500/523] lr: 4.986e-02, eta: 19:27:33, time: 0.430, data_time: 0.000, memory: 7963, top1_acc: 0.2884, top5_acc: 0.6447, loss_cls: 8.0777, loss: 8.0777 2025-05-05 15:46:11,756 - pyskl - INFO - Saving checkpoint at 10 epochs 2025-05-05 15:46:40,378 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:46:40,442 - pyskl - INFO - top1_acc 0.1586 top5_acc 0.3921 2025-05-05 15:46:40,442 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:46:40,449 - pyskl - INFO - mean_acc 0.1579 2025-05-05 15:46:40,515 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_8.pth was removed 2025-05-05 15:46:42,175 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. 2025-05-05 15:46:42,177 - pyskl - INFO - Best top1_acc is 0.1586 at 10 epoch. 2025-05-05 15:46:42,180 - pyskl - INFO - Epoch(val) [10][198] top1_acc: 0.1586, top5_acc: 0.3921, mean_class_accuracy: 0.1579 2025-05-05 15:47:50,430 - pyskl - INFO - Epoch [11][100/523] lr: 4.986e-02, eta: 19:32:01, time: 0.682, data_time: 0.259, memory: 7964, top1_acc: 0.3025, top5_acc: 0.6616, loss_cls: 7.9892, loss: 7.9892 2025-05-05 15:48:32,505 - pyskl - INFO - Epoch [11][200/523] lr: 4.985e-02, eta: 19:29:14, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.3003, top5_acc: 0.6503, loss_cls: 7.9880, loss: 7.9880 2025-05-05 15:49:15,298 - pyskl - INFO - Epoch [11][300/523] lr: 4.985e-02, eta: 19:26:52, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.3031, top5_acc: 0.6750, loss_cls: 7.9269, loss: 7.9269 2025-05-05 15:49:59,128 - pyskl - INFO - Epoch [11][400/523] lr: 4.984e-02, eta: 19:25:00, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.3141, top5_acc: 0.6613, loss_cls: 7.9562, loss: 7.9562 2025-05-05 15:50:43,113 - pyskl - INFO - Epoch [11][500/523] lr: 4.984e-02, eta: 19:23:15, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.3203, top5_acc: 0.6687, loss_cls: 7.9150, loss: 7.9150 2025-05-05 15:50:53,768 - pyskl - INFO - Saving checkpoint at 11 epochs 2025-05-05 15:51:22,452 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:51:22,521 - pyskl - INFO - top1_acc 0.1337 top5_acc 0.3542 2025-05-05 15:51:22,521 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:51:22,528 - pyskl - INFO - mean_acc 0.1336 2025-05-05 15:51:22,529 - pyskl - INFO - Epoch(val) [11][198] top1_acc: 0.1337, top5_acc: 0.3542, mean_class_accuracy: 0.1336 2025-05-05 15:52:31,910 - pyskl - INFO - Epoch [12][100/523] lr: 4.983e-02, eta: 19:27:43, time: 0.694, data_time: 0.259, memory: 7964, top1_acc: 0.3316, top5_acc: 0.6809, loss_cls: 7.8577, loss: 7.8577 2025-05-05 15:53:13,681 - pyskl - INFO - Epoch [12][200/523] lr: 4.982e-02, eta: 19:25:00, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.3291, top5_acc: 0.6806, loss_cls: 7.8582, loss: 7.8582 2025-05-05 15:53:56,730 - pyskl - INFO - Epoch [12][300/523] lr: 4.982e-02, eta: 19:22:52, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.3241, top5_acc: 0.6769, loss_cls: 7.8378, loss: 7.8378 2025-05-05 15:54:40,113 - pyskl - INFO - Epoch [12][400/523] lr: 4.981e-02, eta: 19:20:56, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.3287, top5_acc: 0.6897, loss_cls: 7.8399, loss: 7.8399 2025-05-05 15:55:22,815 - pyskl - INFO - Epoch [12][500/523] lr: 4.980e-02, eta: 19:18:45, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.3262, top5_acc: 0.6828, loss_cls: 7.7625, loss: 7.7625 2025-05-05 15:55:33,753 - pyskl - INFO - Saving checkpoint at 12 epochs 2025-05-05 15:56:02,146 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 15:56:02,213 - pyskl - INFO - top1_acc 0.1890 top5_acc 0.4382 2025-05-05 15:56:02,213 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 15:56:02,219 - pyskl - INFO - mean_acc 0.1897 2025-05-05 15:56:02,279 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_10.pth was removed 2025-05-05 15:56:03,897 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. 2025-05-05 15:56:03,899 - pyskl - INFO - Best top1_acc is 0.1890 at 12 epoch. 2025-05-05 15:56:03,902 - pyskl - INFO - Epoch(val) [12][198] top1_acc: 0.1890, top5_acc: 0.4382, mean_class_accuracy: 0.1897 2025-05-05 15:57:12,250 - pyskl - INFO - Epoch [13][100/523] lr: 4.980e-02, eta: 19:22:22, time: 0.683, data_time: 0.255, memory: 7964, top1_acc: 0.3425, top5_acc: 0.6934, loss_cls: 7.7004, loss: 7.7004 2025-05-05 15:57:54,351 - pyskl - INFO - Epoch [13][200/523] lr: 4.979e-02, eta: 19:19:57, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.3397, top5_acc: 0.6947, loss_cls: 7.7653, loss: 7.7653 2025-05-05 15:58:37,894 - pyskl - INFO - Epoch [13][300/523] lr: 4.978e-02, eta: 19:18:08, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.3566, top5_acc: 0.7056, loss_cls: 7.6392, loss: 7.6392 2025-05-05 15:59:21,100 - pyskl - INFO - Epoch [13][400/523] lr: 4.978e-02, eta: 19:16:14, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.3563, top5_acc: 0.7019, loss_cls: 7.6209, loss: 7.6209 2025-05-05 16:00:03,889 - pyskl - INFO - Epoch [13][500/523] lr: 4.977e-02, eta: 19:14:13, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.3484, top5_acc: 0.6981, loss_cls: 7.7701, loss: 7.7701 2025-05-05 16:00:14,655 - pyskl - INFO - Saving checkpoint at 13 epochs 2025-05-05 16:00:43,223 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:00:43,299 - pyskl - INFO - top1_acc 0.1463 top5_acc 0.3618 2025-05-05 16:00:43,299 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:00:43,306 - pyskl - INFO - mean_acc 0.1471 2025-05-05 16:00:43,308 - pyskl - INFO - Epoch(val) [13][198] top1_acc: 0.1463, top5_acc: 0.3618, mean_class_accuracy: 0.1471 2025-05-05 16:01:52,230 - pyskl - INFO - Epoch [14][100/523] lr: 4.976e-02, eta: 19:17:41, time: 0.689, data_time: 0.257, memory: 7964, top1_acc: 0.3594, top5_acc: 0.7131, loss_cls: 7.4797, loss: 7.4797 2025-05-05 16:02:34,490 - pyskl - INFO - Epoch [14][200/523] lr: 4.975e-02, eta: 19:15:28, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.3575, top5_acc: 0.7000, loss_cls: 7.5937, loss: 7.5937 2025-05-05 16:03:17,383 - pyskl - INFO - Epoch [14][300/523] lr: 4.975e-02, eta: 19:13:31, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.3663, top5_acc: 0.7244, loss_cls: 7.5638, loss: 7.5638 2025-05-05 16:04:00,178 - pyskl - INFO - Epoch [14][400/523] lr: 4.974e-02, eta: 19:11:34, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.3672, top5_acc: 0.7137, loss_cls: 7.5460, loss: 7.5460 2025-05-05 16:04:43,583 - pyskl - INFO - Epoch [14][500/523] lr: 4.973e-02, eta: 19:09:51, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.3528, top5_acc: 0.7134, loss_cls: 7.5892, loss: 7.5892 2025-05-05 16:04:54,648 - pyskl - INFO - Saving checkpoint at 14 epochs 2025-05-05 16:05:22,697 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:05:22,767 - pyskl - INFO - top1_acc 0.1782 top5_acc 0.4049 2025-05-05 16:05:22,767 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:05:22,774 - pyskl - INFO - mean_acc 0.1796 2025-05-05 16:05:22,775 - pyskl - INFO - Epoch(val) [14][198] top1_acc: 0.1782, top5_acc: 0.4049, mean_class_accuracy: 0.1796 2025-05-05 16:06:32,384 - pyskl - INFO - Epoch [15][100/523] lr: 4.972e-02, eta: 19:13:14, time: 0.696, data_time: 0.261, memory: 7964, top1_acc: 0.3731, top5_acc: 0.7200, loss_cls: 7.5471, loss: 7.5471 2025-05-05 16:07:14,312 - pyskl - INFO - Epoch [15][200/523] lr: 4.972e-02, eta: 19:11:01, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.3713, top5_acc: 0.7091, loss_cls: 7.6214, loss: 7.6214 2025-05-05 16:07:57,331 - pyskl - INFO - Epoch [15][300/523] lr: 4.971e-02, eta: 19:09:12, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.3812, top5_acc: 0.7306, loss_cls: 7.4139, loss: 7.4139 2025-05-05 16:08:40,814 - pyskl - INFO - Epoch [15][400/523] lr: 4.970e-02, eta: 19:07:33, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.3975, top5_acc: 0.7312, loss_cls: 7.4143, loss: 7.4143 2025-05-05 16:09:23,632 - pyskl - INFO - Epoch [15][500/523] lr: 4.969e-02, eta: 19:05:43, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.3706, top5_acc: 0.7259, loss_cls: 7.4351, loss: 7.4351 2025-05-05 16:09:34,468 - pyskl - INFO - Saving checkpoint at 15 epochs 2025-05-05 16:10:02,806 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:10:02,877 - pyskl - INFO - top1_acc 0.1735 top5_acc 0.3953 2025-05-05 16:10:02,877 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:10:02,885 - pyskl - INFO - mean_acc 0.1724 2025-05-05 16:10:02,887 - pyskl - INFO - Epoch(val) [15][198] top1_acc: 0.1735, top5_acc: 0.3953, mean_class_accuracy: 0.1724 2025-05-05 16:11:12,768 - pyskl - INFO - Epoch [16][100/523] lr: 4.968e-02, eta: 19:08:53, time: 0.699, data_time: 0.261, memory: 7964, top1_acc: 0.3950, top5_acc: 0.7306, loss_cls: 7.4578, loss: 7.4578 2025-05-05 16:11:54,897 - pyskl - INFO - Epoch [16][200/523] lr: 4.968e-02, eta: 19:06:50, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.3897, top5_acc: 0.7453, loss_cls: 7.3616, loss: 7.3616 2025-05-05 16:12:37,281 - pyskl - INFO - Epoch [16][300/523] lr: 4.967e-02, eta: 19:04:54, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.3831, top5_acc: 0.7306, loss_cls: 7.4577, loss: 7.4577 2025-05-05 16:13:20,048 - pyskl - INFO - Epoch [16][400/523] lr: 4.966e-02, eta: 19:03:06, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.3903, top5_acc: 0.7194, loss_cls: 7.4242, loss: 7.4242 2025-05-05 16:14:03,135 - pyskl - INFO - Epoch [16][500/523] lr: 4.965e-02, eta: 19:01:26, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.3806, top5_acc: 0.7284, loss_cls: 7.4893, loss: 7.4893 2025-05-05 16:14:14,212 - pyskl - INFO - Saving checkpoint at 16 epochs 2025-05-05 16:14:42,524 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:14:42,591 - pyskl - INFO - top1_acc 0.1953 top5_acc 0.4371 2025-05-05 16:14:42,591 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:14:42,600 - pyskl - INFO - mean_acc 0.1946 2025-05-05 16:14:42,671 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_12.pth was removed 2025-05-05 16:14:44,263 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. 2025-05-05 16:14:44,264 - pyskl - INFO - Best top1_acc is 0.1953 at 16 epoch. 2025-05-05 16:14:44,267 - pyskl - INFO - Epoch(val) [16][198] top1_acc: 0.1953, top5_acc: 0.4371, mean_class_accuracy: 0.1946 2025-05-05 16:15:52,260 - pyskl - INFO - Epoch [17][100/523] lr: 4.964e-02, eta: 19:03:47, time: 0.680, data_time: 0.255, memory: 7964, top1_acc: 0.4019, top5_acc: 0.7494, loss_cls: 7.2680, loss: 7.2680 2025-05-05 16:16:34,202 - pyskl - INFO - Epoch [17][200/523] lr: 4.963e-02, eta: 19:01:46, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.3953, top5_acc: 0.7341, loss_cls: 7.3049, loss: 7.3049 2025-05-05 16:17:16,329 - pyskl - INFO - Epoch [17][300/523] lr: 4.962e-02, eta: 18:59:50, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.4000, top5_acc: 0.7475, loss_cls: 7.2522, loss: 7.2522 2025-05-05 16:17:59,400 - pyskl - INFO - Epoch [17][400/523] lr: 4.962e-02, eta: 18:58:12, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.4081, top5_acc: 0.7375, loss_cls: 7.2589, loss: 7.2589 2025-05-05 16:18:42,365 - pyskl - INFO - Epoch [17][500/523] lr: 4.961e-02, eta: 18:56:34, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.3928, top5_acc: 0.7419, loss_cls: 7.3116, loss: 7.3116 2025-05-05 16:18:53,363 - pyskl - INFO - Saving checkpoint at 17 epochs 2025-05-05 16:19:21,759 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:19:21,827 - pyskl - INFO - top1_acc 0.1996 top5_acc 0.4244 2025-05-05 16:19:21,828 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:19:21,835 - pyskl - INFO - mean_acc 0.1994 2025-05-05 16:19:21,894 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_16.pth was removed 2025-05-05 16:19:23,544 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. 2025-05-05 16:19:23,545 - pyskl - INFO - Best top1_acc is 0.1996 at 17 epoch. 2025-05-05 16:19:23,548 - pyskl - INFO - Epoch(val) [17][198] top1_acc: 0.1996, top5_acc: 0.4244, mean_class_accuracy: 0.1994 2025-05-05 16:20:33,677 - pyskl - INFO - Epoch [18][100/523] lr: 4.960e-02, eta: 18:59:19, time: 0.701, data_time: 0.261, memory: 7964, top1_acc: 0.4281, top5_acc: 0.7550, loss_cls: 7.2054, loss: 7.2054 2025-05-05 16:21:15,801 - pyskl - INFO - Epoch [18][200/523] lr: 4.959e-02, eta: 18:57:26, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.4222, top5_acc: 0.7528, loss_cls: 7.1254, loss: 7.1254 2025-05-05 16:21:58,180 - pyskl - INFO - Epoch [18][300/523] lr: 4.958e-02, eta: 18:55:39, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.3934, top5_acc: 0.7425, loss_cls: 7.2874, loss: 7.2874 2025-05-05 16:22:41,732 - pyskl - INFO - Epoch [18][400/523] lr: 4.957e-02, eta: 18:54:12, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.4166, top5_acc: 0.7606, loss_cls: 7.1431, loss: 7.1431 2025-05-05 16:23:25,710 - pyskl - INFO - Epoch [18][500/523] lr: 4.956e-02, eta: 18:52:52, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.3997, top5_acc: 0.7469, loss_cls: 7.2152, loss: 7.2152 2025-05-05 16:23:36,690 - pyskl - INFO - Saving checkpoint at 18 epochs 2025-05-05 16:24:05,473 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:24:05,541 - pyskl - INFO - top1_acc 0.2215 top5_acc 0.4535 2025-05-05 16:24:05,541 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:24:05,548 - pyskl - INFO - mean_acc 0.2219 2025-05-05 16:24:05,610 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_17.pth was removed 2025-05-05 16:24:07,241 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. 2025-05-05 16:24:07,242 - pyskl - INFO - Best top1_acc is 0.2215 at 18 epoch. 2025-05-05 16:24:07,244 - pyskl - INFO - Epoch(val) [18][198] top1_acc: 0.2215, top5_acc: 0.4535, mean_class_accuracy: 0.2219 2025-05-05 16:25:16,455 - pyskl - INFO - Epoch [19][100/523] lr: 4.955e-02, eta: 18:55:10, time: 0.692, data_time: 0.253, memory: 7964, top1_acc: 0.4209, top5_acc: 0.7594, loss_cls: 7.2195, loss: 7.2195 2025-05-05 16:25:59,097 - pyskl - INFO - Epoch [19][200/523] lr: 4.954e-02, eta: 18:53:28, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.4216, top5_acc: 0.7528, loss_cls: 7.1478, loss: 7.1478 2025-05-05 16:26:41,892 - pyskl - INFO - Epoch [19][300/523] lr: 4.953e-02, eta: 18:51:51, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.4291, top5_acc: 0.7497, loss_cls: 7.1175, loss: 7.1175 2025-05-05 16:27:25,366 - pyskl - INFO - Epoch [19][400/523] lr: 4.952e-02, eta: 18:50:25, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.4119, top5_acc: 0.7544, loss_cls: 7.2071, loss: 7.2071 2025-05-05 16:28:08,517 - pyskl - INFO - Epoch [19][500/523] lr: 4.951e-02, eta: 18:48:55, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.4206, top5_acc: 0.7603, loss_cls: 7.1033, loss: 7.1033 2025-05-05 16:28:19,351 - pyskl - INFO - Saving checkpoint at 19 epochs 2025-05-05 16:28:47,910 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:28:47,980 - pyskl - INFO - top1_acc 0.2077 top5_acc 0.4468 2025-05-05 16:28:47,980 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:28:47,987 - pyskl - INFO - mean_acc 0.2086 2025-05-05 16:28:47,988 - pyskl - INFO - Epoch(val) [19][198] top1_acc: 0.2077, top5_acc: 0.4468, mean_class_accuracy: 0.2086 2025-05-05 16:29:56,933 - pyskl - INFO - Epoch [20][100/523] lr: 4.950e-02, eta: 18:50:58, time: 0.689, data_time: 0.260, memory: 7964, top1_acc: 0.4353, top5_acc: 0.7631, loss_cls: 7.1011, loss: 7.1011 2025-05-05 16:30:38,868 - pyskl - INFO - Epoch [20][200/523] lr: 4.949e-02, eta: 18:49:10, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.4422, top5_acc: 0.7744, loss_cls: 6.9945, loss: 6.9945 2025-05-05 16:31:20,728 - pyskl - INFO - Epoch [20][300/523] lr: 4.948e-02, eta: 18:47:22, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.4344, top5_acc: 0.7784, loss_cls: 6.9740, loss: 6.9740 2025-05-05 16:32:02,940 - pyskl - INFO - Epoch [20][400/523] lr: 4.947e-02, eta: 18:45:40, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.4134, top5_acc: 0.7428, loss_cls: 7.1891, loss: 7.1891 2025-05-05 16:32:45,132 - pyskl - INFO - Epoch [20][500/523] lr: 4.946e-02, eta: 18:44:00, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.4347, top5_acc: 0.7678, loss_cls: 7.1154, loss: 7.1154 2025-05-05 16:32:56,461 - pyskl - INFO - Saving checkpoint at 20 epochs 2025-05-05 16:33:24,934 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:33:25,017 - pyskl - INFO - top1_acc 0.1841 top5_acc 0.4392 2025-05-05 16:33:25,018 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:33:25,028 - pyskl - INFO - mean_acc 0.1859 2025-05-05 16:33:25,029 - pyskl - INFO - Epoch(val) [20][198] top1_acc: 0.1841, top5_acc: 0.4392, mean_class_accuracy: 0.1859 2025-05-05 16:34:36,785 - pyskl - INFO - Epoch [21][100/523] lr: 4.944e-02, eta: 18:46:32, time: 0.717, data_time: 0.278, memory: 7964, top1_acc: 0.4559, top5_acc: 0.7841, loss_cls: 7.0091, loss: 7.0091 2025-05-05 16:35:19,968 - pyskl - INFO - Epoch [21][200/523] lr: 4.943e-02, eta: 18:45:05, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.4425, top5_acc: 0.7819, loss_cls: 7.0176, loss: 7.0176 2025-05-05 16:36:02,099 - pyskl - INFO - Epoch [21][300/523] lr: 4.942e-02, eta: 18:43:24, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.4238, top5_acc: 0.7762, loss_cls: 7.0596, loss: 7.0596 2025-05-05 16:36:45,015 - pyskl - INFO - Epoch [21][400/523] lr: 4.941e-02, eta: 18:41:55, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.4478, top5_acc: 0.7762, loss_cls: 6.9243, loss: 6.9243 2025-05-05 16:37:27,646 - pyskl - INFO - Epoch [21][500/523] lr: 4.940e-02, eta: 18:40:23, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.4359, top5_acc: 0.7709, loss_cls: 7.0286, loss: 7.0286 2025-05-05 16:37:38,079 - pyskl - INFO - Saving checkpoint at 21 epochs 2025-05-05 16:38:06,706 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:38:06,773 - pyskl - INFO - top1_acc 0.2131 top5_acc 0.4485 2025-05-05 16:38:06,774 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:38:06,781 - pyskl - INFO - mean_acc 0.2119 2025-05-05 16:38:06,782 - pyskl - INFO - Epoch(val) [21][198] top1_acc: 0.2131, top5_acc: 0.4485, mean_class_accuracy: 0.2119 2025-05-05 16:39:15,295 - pyskl - INFO - Epoch [22][100/523] lr: 4.939e-02, eta: 18:42:02, time: 0.685, data_time: 0.268, memory: 7964, top1_acc: 0.4397, top5_acc: 0.7900, loss_cls: 6.9170, loss: 6.9170 2025-05-05 16:39:58,032 - pyskl - INFO - Epoch [22][200/523] lr: 4.938e-02, eta: 18:40:31, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.4631, top5_acc: 0.7856, loss_cls: 6.9046, loss: 6.9046 2025-05-05 16:40:40,041 - pyskl - INFO - Epoch [22][300/523] lr: 4.936e-02, eta: 18:38:52, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.4503, top5_acc: 0.7772, loss_cls: 6.9666, loss: 6.9666 2025-05-05 16:41:23,098 - pyskl - INFO - Epoch [22][400/523] lr: 4.935e-02, eta: 18:37:26, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.4419, top5_acc: 0.7784, loss_cls: 7.0146, loss: 7.0146 2025-05-05 16:42:06,262 - pyskl - INFO - Epoch [22][500/523] lr: 4.934e-02, eta: 18:36:04, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.4313, top5_acc: 0.7703, loss_cls: 6.9557, loss: 6.9557 2025-05-05 16:42:17,144 - pyskl - INFO - Saving checkpoint at 22 epochs 2025-05-05 16:42:45,865 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:42:45,934 - pyskl - INFO - top1_acc 0.2228 top5_acc 0.4531 2025-05-05 16:42:45,934 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:42:45,942 - pyskl - INFO - mean_acc 0.2217 2025-05-05 16:42:46,012 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_18.pth was removed 2025-05-05 16:42:47,646 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. 2025-05-05 16:42:47,648 - pyskl - INFO - Best top1_acc is 0.2228 at 22 epoch. 2025-05-05 16:42:47,651 - pyskl - INFO - Epoch(val) [22][198] top1_acc: 0.2228, top5_acc: 0.4531, mean_class_accuracy: 0.2217 2025-05-05 16:43:56,366 - pyskl - INFO - Epoch [23][100/523] lr: 4.933e-02, eta: 18:37:38, time: 0.687, data_time: 0.259, memory: 7964, top1_acc: 0.4562, top5_acc: 0.7922, loss_cls: 6.8756, loss: 6.8756 2025-05-05 16:44:39,278 - pyskl - INFO - Epoch [23][200/523] lr: 4.932e-02, eta: 18:36:12, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.4497, top5_acc: 0.7872, loss_cls: 6.9373, loss: 6.9373 2025-05-05 16:45:21,105 - pyskl - INFO - Epoch [23][300/523] lr: 4.930e-02, eta: 18:34:33, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.4537, top5_acc: 0.7706, loss_cls: 6.9967, loss: 6.9967 2025-05-05 16:46:04,966 - pyskl - INFO - Epoch [23][400/523] lr: 4.929e-02, eta: 18:33:19, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.4550, top5_acc: 0.7809, loss_cls: 6.9258, loss: 6.9258 2025-05-05 16:46:48,510 - pyskl - INFO - Epoch [23][500/523] lr: 4.928e-02, eta: 18:32:03, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.4628, top5_acc: 0.7950, loss_cls: 6.8278, loss: 6.8278 2025-05-05 16:46:59,142 - pyskl - INFO - Saving checkpoint at 23 epochs 2025-05-05 16:47:27,693 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:47:27,763 - pyskl - INFO - top1_acc 0.2280 top5_acc 0.4619 2025-05-05 16:47:27,764 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:47:27,771 - pyskl - INFO - mean_acc 0.2250 2025-05-05 16:47:27,825 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_22.pth was removed 2025-05-05 16:47:29,529 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. 2025-05-05 16:47:29,531 - pyskl - INFO - Best top1_acc is 0.2280 at 23 epoch. 2025-05-05 16:47:29,534 - pyskl - INFO - Epoch(val) [23][198] top1_acc: 0.2280, top5_acc: 0.4619, mean_class_accuracy: 0.2250 2025-05-05 16:48:37,830 - pyskl - INFO - Epoch [24][100/523] lr: 4.927e-02, eta: 18:33:25, time: 0.683, data_time: 0.259, memory: 7964, top1_acc: 0.4531, top5_acc: 0.7934, loss_cls: 6.8064, loss: 6.8064 2025-05-05 16:49:20,144 - pyskl - INFO - Epoch [24][200/523] lr: 4.925e-02, eta: 18:31:54, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.4628, top5_acc: 0.7853, loss_cls: 6.8927, loss: 6.8927 2025-05-05 16:50:02,282 - pyskl - INFO - Epoch [24][300/523] lr: 4.924e-02, eta: 18:30:21, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.4669, top5_acc: 0.7887, loss_cls: 6.7966, loss: 6.7966 2025-05-05 16:50:45,134 - pyskl - INFO - Epoch [24][400/523] lr: 4.923e-02, eta: 18:28:57, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.4572, top5_acc: 0.7909, loss_cls: 6.9217, loss: 6.9217 2025-05-05 16:51:28,222 - pyskl - INFO - Epoch [24][500/523] lr: 4.922e-02, eta: 18:27:37, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.4634, top5_acc: 0.7909, loss_cls: 6.8215, loss: 6.8215 2025-05-05 16:51:39,005 - pyskl - INFO - Saving checkpoint at 24 epochs 2025-05-05 16:52:07,576 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:52:07,645 - pyskl - INFO - top1_acc 0.2312 top5_acc 0.4698 2025-05-05 16:52:07,645 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:52:07,654 - pyskl - INFO - mean_acc 0.2294 2025-05-05 16:52:07,713 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_23.pth was removed 2025-05-05 16:52:09,382 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. 2025-05-05 16:52:09,384 - pyskl - INFO - Best top1_acc is 0.2312 at 24 epoch. 2025-05-05 16:52:09,387 - pyskl - INFO - Epoch(val) [24][198] top1_acc: 0.2312, top5_acc: 0.4698, mean_class_accuracy: 0.2294 2025-05-05 16:53:18,725 - pyskl - INFO - Epoch [25][100/523] lr: 4.920e-02, eta: 18:29:05, time: 0.693, data_time: 0.257, memory: 7964, top1_acc: 0.4697, top5_acc: 0.8075, loss_cls: 6.7711, loss: 6.7711 2025-05-05 16:54:01,888 - pyskl - INFO - Epoch [25][200/523] lr: 4.919e-02, eta: 18:27:46, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.4700, top5_acc: 0.7881, loss_cls: 6.7469, loss: 6.7469 2025-05-05 16:54:44,594 - pyskl - INFO - Epoch [25][300/523] lr: 4.918e-02, eta: 18:26:21, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.4637, top5_acc: 0.7875, loss_cls: 6.8541, loss: 6.8541 2025-05-05 16:55:26,712 - pyskl - INFO - Epoch [25][400/523] lr: 4.916e-02, eta: 18:24:51, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.4719, top5_acc: 0.7919, loss_cls: 6.7711, loss: 6.7711 2025-05-05 16:56:08,746 - pyskl - INFO - Epoch [25][500/523] lr: 4.915e-02, eta: 18:23:21, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.4616, top5_acc: 0.7803, loss_cls: 6.8569, loss: 6.8569 2025-05-05 16:56:19,120 - pyskl - INFO - Saving checkpoint at 25 epochs 2025-05-05 16:56:47,372 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 16:56:47,441 - pyskl - INFO - top1_acc 0.2274 top5_acc 0.4560 2025-05-05 16:56:47,441 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 16:56:47,448 - pyskl - INFO - mean_acc 0.2289 2025-05-05 16:56:47,449 - pyskl - INFO - Epoch(val) [25][198] top1_acc: 0.2274, top5_acc: 0.4560, mean_class_accuracy: 0.2289 2025-05-05 16:57:56,809 - pyskl - INFO - Epoch [26][100/523] lr: 4.914e-02, eta: 18:24:43, time: 0.694, data_time: 0.260, memory: 7964, top1_acc: 0.4944, top5_acc: 0.8069, loss_cls: 6.6831, loss: 6.6831 2025-05-05 16:58:40,227 - pyskl - INFO - Epoch [26][200/523] lr: 4.912e-02, eta: 18:23:28, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.4744, top5_acc: 0.7997, loss_cls: 6.7240, loss: 6.7240 2025-05-05 16:59:22,144 - pyskl - INFO - Epoch [26][300/523] lr: 4.911e-02, eta: 18:21:57, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.4688, top5_acc: 0.7997, loss_cls: 6.7865, loss: 6.7865 2025-05-05 17:00:03,838 - pyskl - INFO - Epoch [26][400/523] lr: 4.910e-02, eta: 18:20:24, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.4772, top5_acc: 0.7978, loss_cls: 6.7060, loss: 6.7060 2025-05-05 17:00:46,454 - pyskl - INFO - Epoch [26][500/523] lr: 4.908e-02, eta: 18:19:02, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.4553, top5_acc: 0.7872, loss_cls: 6.7400, loss: 6.7400 2025-05-05 17:00:56,940 - pyskl - INFO - Saving checkpoint at 26 epochs 2025-05-05 17:01:25,550 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:01:25,624 - pyskl - INFO - top1_acc 0.2356 top5_acc 0.4604 2025-05-05 17:01:25,624 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:01:25,631 - pyskl - INFO - mean_acc 0.2355 2025-05-05 17:01:25,689 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_24.pth was removed 2025-05-05 17:01:27,224 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. 2025-05-05 17:01:27,226 - pyskl - INFO - Best top1_acc is 0.2356 at 26 epoch. 2025-05-05 17:01:27,228 - pyskl - INFO - Epoch(val) [26][198] top1_acc: 0.2356, top5_acc: 0.4604, mean_class_accuracy: 0.2355 2025-05-05 17:02:35,752 - pyskl - INFO - Epoch [27][100/523] lr: 4.907e-02, eta: 18:20:10, time: 0.685, data_time: 0.257, memory: 7964, top1_acc: 0.4841, top5_acc: 0.8094, loss_cls: 6.7204, loss: 6.7204 2025-05-05 17:03:19,102 - pyskl - INFO - Epoch [27][200/523] lr: 4.905e-02, eta: 18:18:56, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.4809, top5_acc: 0.8069, loss_cls: 6.6665, loss: 6.6665 2025-05-05 17:04:01,165 - pyskl - INFO - Epoch [27][300/523] lr: 4.904e-02, eta: 18:17:28, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.4875, top5_acc: 0.8047, loss_cls: 6.6513, loss: 6.6513 2025-05-05 17:04:44,085 - pyskl - INFO - Epoch [27][400/523] lr: 4.902e-02, eta: 18:16:10, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.4594, top5_acc: 0.7878, loss_cls: 6.7864, loss: 6.7864 2025-05-05 17:05:26,993 - pyskl - INFO - Epoch [27][500/523] lr: 4.901e-02, eta: 18:14:53, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.4788, top5_acc: 0.7975, loss_cls: 6.7876, loss: 6.7876 2025-05-05 17:05:37,596 - pyskl - INFO - Saving checkpoint at 27 epochs 2025-05-05 17:06:05,892 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:06:05,961 - pyskl - INFO - top1_acc 0.2332 top5_acc 0.4581 2025-05-05 17:06:05,962 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:06:05,969 - pyskl - INFO - mean_acc 0.2310 2025-05-05 17:06:05,971 - pyskl - INFO - Epoch(val) [27][198] top1_acc: 0.2332, top5_acc: 0.4581, mean_class_accuracy: 0.2310 2025-05-05 17:07:15,163 - pyskl - INFO - Epoch [28][100/523] lr: 4.899e-02, eta: 18:16:03, time: 0.692, data_time: 0.261, memory: 7964, top1_acc: 0.5053, top5_acc: 0.8091, loss_cls: 6.5850, loss: 6.5850 2025-05-05 17:07:57,776 - pyskl - INFO - Epoch [28][200/523] lr: 4.898e-02, eta: 18:14:42, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.4778, top5_acc: 0.8134, loss_cls: 6.6580, loss: 6.6580 2025-05-05 17:08:39,588 - pyskl - INFO - Epoch [28][300/523] lr: 4.897e-02, eta: 18:13:14, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.4916, top5_acc: 0.8097, loss_cls: 6.6311, loss: 6.6311 2025-05-05 17:09:22,710 - pyskl - INFO - Epoch [28][400/523] lr: 4.895e-02, eta: 18:11:59, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.4859, top5_acc: 0.7984, loss_cls: 6.6739, loss: 6.6739 2025-05-05 17:10:06,661 - pyskl - INFO - Epoch [28][500/523] lr: 4.894e-02, eta: 18:10:53, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.4825, top5_acc: 0.8003, loss_cls: 6.6782, loss: 6.6782 2025-05-05 17:10:17,474 - pyskl - INFO - Saving checkpoint at 28 epochs 2025-05-05 17:10:45,896 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:10:45,965 - pyskl - INFO - top1_acc 0.1972 top5_acc 0.4191 2025-05-05 17:10:45,965 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:10:45,974 - pyskl - INFO - mean_acc 0.1975 2025-05-05 17:10:45,976 - pyskl - INFO - Epoch(val) [28][198] top1_acc: 0.1972, top5_acc: 0.4191, mean_class_accuracy: 0.1975 2025-05-05 17:11:55,705 - pyskl - INFO - Epoch [29][100/523] lr: 4.892e-02, eta: 18:12:03, time: 0.697, data_time: 0.263, memory: 7964, top1_acc: 0.5044, top5_acc: 0.8131, loss_cls: 6.6784, loss: 6.6784 2025-05-05 17:12:39,246 - pyskl - INFO - Epoch [29][200/523] lr: 4.890e-02, eta: 18:10:53, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.5044, top5_acc: 0.8163, loss_cls: 6.6187, loss: 6.6187 2025-05-05 17:13:21,790 - pyskl - INFO - Epoch [29][300/523] lr: 4.889e-02, eta: 18:09:33, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.4997, top5_acc: 0.8113, loss_cls: 6.5624, loss: 6.5624 2025-05-05 17:14:03,669 - pyskl - INFO - Epoch [29][400/523] lr: 4.887e-02, eta: 18:08:08, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.4866, top5_acc: 0.8144, loss_cls: 6.6591, loss: 6.6591 2025-05-05 17:14:47,656 - pyskl - INFO - Epoch [29][500/523] lr: 4.886e-02, eta: 18:07:02, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.4888, top5_acc: 0.7950, loss_cls: 6.6921, loss: 6.6921 2025-05-05 17:14:58,412 - pyskl - INFO - Saving checkpoint at 29 epochs 2025-05-05 17:15:27,187 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:15:27,256 - pyskl - INFO - top1_acc 0.2145 top5_acc 0.4463 2025-05-05 17:15:27,257 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:15:27,264 - pyskl - INFO - mean_acc 0.2163 2025-05-05 17:15:27,266 - pyskl - INFO - Epoch(val) [29][198] top1_acc: 0.2145, top5_acc: 0.4463, mean_class_accuracy: 0.2163 2025-05-05 17:16:37,026 - pyskl - INFO - Epoch [30][100/523] lr: 4.884e-02, eta: 18:08:08, time: 0.698, data_time: 0.259, memory: 7964, top1_acc: 0.5056, top5_acc: 0.8178, loss_cls: 6.5216, loss: 6.5216 2025-05-05 17:17:20,439 - pyskl - INFO - Epoch [30][200/523] lr: 4.883e-02, eta: 18:06:57, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.4972, top5_acc: 0.8116, loss_cls: 6.6270, loss: 6.6270 2025-05-05 17:18:02,444 - pyskl - INFO - Epoch [30][300/523] lr: 4.881e-02, eta: 18:05:34, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.4844, top5_acc: 0.8066, loss_cls: 6.7222, loss: 6.7222 2025-05-05 17:18:44,814 - pyskl - INFO - Epoch [30][400/523] lr: 4.880e-02, eta: 18:04:14, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.4944, top5_acc: 0.8250, loss_cls: 6.5607, loss: 6.5607 2025-05-05 17:19:27,732 - pyskl - INFO - Epoch [30][500/523] lr: 4.878e-02, eta: 18:03:00, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.5050, top5_acc: 0.8119, loss_cls: 6.5974, loss: 6.5974 2025-05-05 17:19:38,486 - pyskl - INFO - Saving checkpoint at 30 epochs 2025-05-05 17:20:06,843 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:20:06,911 - pyskl - INFO - top1_acc 0.2596 top5_acc 0.5012 2025-05-05 17:20:06,911 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:20:06,918 - pyskl - INFO - mean_acc 0.2593 2025-05-05 17:20:06,975 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_26.pth was removed 2025-05-05 17:20:08,477 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. 2025-05-05 17:20:08,479 - pyskl - INFO - Best top1_acc is 0.2596 at 30 epoch. 2025-05-05 17:20:08,482 - pyskl - INFO - Epoch(val) [30][198] top1_acc: 0.2596, top5_acc: 0.5012, mean_class_accuracy: 0.2593 2025-05-05 17:21:17,096 - pyskl - INFO - Epoch [31][100/523] lr: 4.876e-02, eta: 18:03:51, time: 0.686, data_time: 0.255, memory: 7964, top1_acc: 0.5194, top5_acc: 0.8209, loss_cls: 6.4250, loss: 6.4250 2025-05-05 17:22:00,073 - pyskl - INFO - Epoch [31][200/523] lr: 4.875e-02, eta: 18:02:37, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.4978, top5_acc: 0.8213, loss_cls: 6.5773, loss: 6.5773 2025-05-05 17:22:42,223 - pyskl - INFO - Epoch [31][300/523] lr: 4.873e-02, eta: 18:01:17, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.4969, top5_acc: 0.8163, loss_cls: 6.5688, loss: 6.5688 2025-05-05 17:23:25,449 - pyskl - INFO - Epoch [31][400/523] lr: 4.871e-02, eta: 18:00:06, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.4881, top5_acc: 0.8022, loss_cls: 6.6188, loss: 6.6188 2025-05-05 17:24:09,085 - pyskl - INFO - Epoch [31][500/523] lr: 4.870e-02, eta: 17:58:59, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.4969, top5_acc: 0.8075, loss_cls: 6.5783, loss: 6.5783 2025-05-05 17:24:19,833 - pyskl - INFO - Saving checkpoint at 31 epochs 2025-05-05 17:24:48,131 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:24:48,200 - pyskl - INFO - top1_acc 0.2529 top5_acc 0.5001 2025-05-05 17:24:48,200 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:24:48,207 - pyskl - INFO - mean_acc 0.2545 2025-05-05 17:24:48,209 - pyskl - INFO - Epoch(val) [31][198] top1_acc: 0.2529, top5_acc: 0.5001, mean_class_accuracy: 0.2545 2025-05-05 17:25:58,013 - pyskl - INFO - Epoch [32][100/523] lr: 4.868e-02, eta: 17:59:56, time: 0.698, data_time: 0.262, memory: 7964, top1_acc: 0.5191, top5_acc: 0.8278, loss_cls: 6.3860, loss: 6.3860 2025-05-05 17:26:41,419 - pyskl - INFO - Epoch [32][200/523] lr: 4.866e-02, eta: 17:58:47, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.4984, top5_acc: 0.8194, loss_cls: 6.4242, loss: 6.4242 2025-05-05 17:27:23,284 - pyskl - INFO - Epoch [32][300/523] lr: 4.865e-02, eta: 17:57:26, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.4944, top5_acc: 0.8025, loss_cls: 6.6640, loss: 6.6640 2025-05-05 17:28:06,056 - pyskl - INFO - Epoch [32][400/523] lr: 4.863e-02, eta: 17:56:12, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.5044, top5_acc: 0.8063, loss_cls: 6.5471, loss: 6.5471 2025-05-05 17:28:49,683 - pyskl - INFO - Epoch [32][500/523] lr: 4.861e-02, eta: 17:55:06, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.4988, top5_acc: 0.8116, loss_cls: 6.5456, loss: 6.5456 2025-05-05 17:29:00,294 - pyskl - INFO - Saving checkpoint at 32 epochs 2025-05-05 17:29:28,758 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:29:28,827 - pyskl - INFO - top1_acc 0.2069 top5_acc 0.4314 2025-05-05 17:29:28,827 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:29:28,834 - pyskl - INFO - mean_acc 0.2072 2025-05-05 17:29:28,836 - pyskl - INFO - Epoch(val) [32][198] top1_acc: 0.2069, top5_acc: 0.4314, mean_class_accuracy: 0.2072 2025-05-05 17:30:38,180 - pyskl - INFO - Epoch [33][100/523] lr: 4.859e-02, eta: 17:55:55, time: 0.693, data_time: 0.258, memory: 7964, top1_acc: 0.5153, top5_acc: 0.8287, loss_cls: 6.3912, loss: 6.3912 2025-05-05 17:31:22,335 - pyskl - INFO - Epoch [33][200/523] lr: 4.858e-02, eta: 17:54:53, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5109, top5_acc: 0.8247, loss_cls: 6.4526, loss: 6.4526 2025-05-05 17:32:04,910 - pyskl - INFO - Epoch [33][300/523] lr: 4.856e-02, eta: 17:53:38, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.4963, top5_acc: 0.8113, loss_cls: 6.5375, loss: 6.5375 2025-05-05 17:32:46,986 - pyskl - INFO - Epoch [33][400/523] lr: 4.854e-02, eta: 17:52:20, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.5006, top5_acc: 0.8200, loss_cls: 6.5184, loss: 6.5184 2025-05-05 17:33:29,077 - pyskl - INFO - Epoch [33][500/523] lr: 4.853e-02, eta: 17:51:02, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.4856, top5_acc: 0.8144, loss_cls: 6.5699, loss: 6.5699 2025-05-05 17:33:39,421 - pyskl - INFO - Saving checkpoint at 33 epochs 2025-05-05 17:34:07,697 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:34:07,765 - pyskl - INFO - top1_acc 0.2469 top5_acc 0.4902 2025-05-05 17:34:07,766 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:34:07,773 - pyskl - INFO - mean_acc 0.2449 2025-05-05 17:34:07,775 - pyskl - INFO - Epoch(val) [33][198] top1_acc: 0.2469, top5_acc: 0.4902, mean_class_accuracy: 0.2449 2025-05-05 17:35:16,786 - pyskl - INFO - Epoch [34][100/523] lr: 4.851e-02, eta: 17:51:45, time: 0.690, data_time: 0.258, memory: 7964, top1_acc: 0.5197, top5_acc: 0.8334, loss_cls: 6.3718, loss: 6.3718 2025-05-05 17:35:59,449 - pyskl - INFO - Epoch [34][200/523] lr: 4.849e-02, eta: 17:50:31, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.5234, top5_acc: 0.8178, loss_cls: 6.4386, loss: 6.4386 2025-05-05 17:36:42,075 - pyskl - INFO - Epoch [34][300/523] lr: 4.847e-02, eta: 17:49:18, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.5172, top5_acc: 0.8231, loss_cls: 6.5006, loss: 6.5006 2025-05-05 17:37:24,242 - pyskl - INFO - Epoch [34][400/523] lr: 4.845e-02, eta: 17:48:01, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.5109, top5_acc: 0.8209, loss_cls: 6.5934, loss: 6.5934 2025-05-05 17:38:06,338 - pyskl - INFO - Epoch [34][500/523] lr: 4.844e-02, eta: 17:46:45, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.5106, top5_acc: 0.8203, loss_cls: 6.5626, loss: 6.5626 2025-05-05 17:38:16,687 - pyskl - INFO - Saving checkpoint at 34 epochs 2025-05-05 17:38:45,138 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:38:45,207 - pyskl - INFO - top1_acc 0.2634 top5_acc 0.4763 2025-05-05 17:38:45,207 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:38:45,214 - pyskl - INFO - mean_acc 0.2618 2025-05-05 17:38:45,272 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_30.pth was removed 2025-05-05 17:38:46,832 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_34.pth. 2025-05-05 17:38:46,834 - pyskl - INFO - Best top1_acc is 0.2634 at 34 epoch. 2025-05-05 17:38:46,837 - pyskl - INFO - Epoch(val) [34][198] top1_acc: 0.2634, top5_acc: 0.4763, mean_class_accuracy: 0.2618 2025-05-05 17:39:55,973 - pyskl - INFO - Epoch [35][100/523] lr: 4.841e-02, eta: 17:47:26, time: 0.691, data_time: 0.259, memory: 7964, top1_acc: 0.5366, top5_acc: 0.8481, loss_cls: 6.2862, loss: 6.2862 2025-05-05 17:40:38,721 - pyskl - INFO - Epoch [35][200/523] lr: 4.840e-02, eta: 17:46:14, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.5269, top5_acc: 0.8319, loss_cls: 6.4478, loss: 6.4478 2025-05-05 17:41:20,689 - pyskl - INFO - Epoch [35][300/523] lr: 4.838e-02, eta: 17:44:56, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.5200, top5_acc: 0.8325, loss_cls: 6.3973, loss: 6.3973 2025-05-05 17:42:02,901 - pyskl - INFO - Epoch [35][400/523] lr: 4.836e-02, eta: 17:43:41, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.5038, top5_acc: 0.8147, loss_cls: 6.4545, loss: 6.4545 2025-05-05 17:42:46,643 - pyskl - INFO - Epoch [35][500/523] lr: 4.834e-02, eta: 17:42:38, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.5100, top5_acc: 0.8222, loss_cls: 6.4504, loss: 6.4504 2025-05-05 17:42:57,276 - pyskl - INFO - Saving checkpoint at 35 epochs 2025-05-05 17:43:25,947 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:43:26,017 - pyskl - INFO - top1_acc 0.2423 top5_acc 0.4608 2025-05-05 17:43:26,017 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:43:26,024 - pyskl - INFO - mean_acc 0.2426 2025-05-05 17:43:26,026 - pyskl - INFO - Epoch(val) [35][198] top1_acc: 0.2423, top5_acc: 0.4608, mean_class_accuracy: 0.2426 2025-05-05 17:44:34,590 - pyskl - INFO - Epoch [36][100/523] lr: 4.832e-02, eta: 17:43:12, time: 0.686, data_time: 0.258, memory: 7964, top1_acc: 0.5384, top5_acc: 0.8341, loss_cls: 6.3298, loss: 6.3298 2025-05-05 17:45:18,096 - pyskl - INFO - Epoch [36][200/523] lr: 4.830e-02, eta: 17:42:06, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.5138, top5_acc: 0.8281, loss_cls: 6.4087, loss: 6.4087 2025-05-05 17:46:00,734 - pyskl - INFO - Epoch [36][300/523] lr: 4.829e-02, eta: 17:40:55, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.5206, top5_acc: 0.8206, loss_cls: 6.3823, loss: 6.3823 2025-05-05 17:46:42,909 - pyskl - INFO - Epoch [36][400/523] lr: 4.827e-02, eta: 17:39:40, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.5178, top5_acc: 0.8241, loss_cls: 6.4645, loss: 6.4645 2025-05-05 17:47:25,574 - pyskl - INFO - Epoch [36][500/523] lr: 4.825e-02, eta: 17:38:30, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.5216, top5_acc: 0.8306, loss_cls: 6.3257, loss: 6.3257 2025-05-05 17:47:35,916 - pyskl - INFO - Saving checkpoint at 36 epochs 2025-05-05 17:48:04,324 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:48:04,392 - pyskl - INFO - top1_acc 0.2394 top5_acc 0.4752 2025-05-05 17:48:04,393 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:48:04,401 - pyskl - INFO - mean_acc 0.2359 2025-05-05 17:48:04,403 - pyskl - INFO - Epoch(val) [36][198] top1_acc: 0.2394, top5_acc: 0.4752, mean_class_accuracy: 0.2359 2025-05-05 17:49:12,316 - pyskl - INFO - Epoch [37][100/523] lr: 4.823e-02, eta: 17:38:56, time: 0.679, data_time: 0.259, memory: 7964, top1_acc: 0.5469, top5_acc: 0.8522, loss_cls: 6.2519, loss: 6.2519 2025-05-05 17:49:54,258 - pyskl - INFO - Epoch [37][200/523] lr: 4.821e-02, eta: 17:37:40, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.5350, top5_acc: 0.8419, loss_cls: 6.2880, loss: 6.2880 2025-05-05 17:50:37,106 - pyskl - INFO - Epoch [37][300/523] lr: 4.819e-02, eta: 17:36:31, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.5188, top5_acc: 0.8319, loss_cls: 6.3324, loss: 6.3324 2025-05-05 17:51:19,023 - pyskl - INFO - Epoch [37][400/523] lr: 4.817e-02, eta: 17:35:16, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.5203, top5_acc: 0.8275, loss_cls: 6.3960, loss: 6.3960 2025-05-05 17:52:00,648 - pyskl - INFO - Epoch [37][500/523] lr: 4.815e-02, eta: 17:33:59, time: 0.416, data_time: 0.000, memory: 7964, top1_acc: 0.5131, top5_acc: 0.8250, loss_cls: 6.4995, loss: 6.4995 2025-05-05 17:52:10,907 - pyskl - INFO - Saving checkpoint at 37 epochs 2025-05-05 17:52:39,448 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:52:39,517 - pyskl - INFO - top1_acc 0.2554 top5_acc 0.5031 2025-05-05 17:52:39,517 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:52:39,525 - pyskl - INFO - mean_acc 0.2543 2025-05-05 17:52:39,526 - pyskl - INFO - Epoch(val) [37][198] top1_acc: 0.2554, top5_acc: 0.5031, mean_class_accuracy: 0.2543 2025-05-05 17:53:49,165 - pyskl - INFO - Epoch [38][100/523] lr: 4.813e-02, eta: 17:34:35, time: 0.696, data_time: 0.261, memory: 7964, top1_acc: 0.5528, top5_acc: 0.8450, loss_cls: 6.1020, loss: 6.1020 2025-05-05 17:54:33,058 - pyskl - INFO - Epoch [38][200/523] lr: 4.811e-02, eta: 17:33:34, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5431, top5_acc: 0.8419, loss_cls: 6.2138, loss: 6.2138 2025-05-05 17:55:16,231 - pyskl - INFO - Epoch [38][300/523] lr: 4.809e-02, eta: 17:32:28, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.5200, top5_acc: 0.8328, loss_cls: 6.4047, loss: 6.4047 2025-05-05 17:55:58,348 - pyskl - INFO - Epoch [38][400/523] lr: 4.807e-02, eta: 17:31:15, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.5188, top5_acc: 0.8272, loss_cls: 6.3820, loss: 6.3820 2025-05-05 17:56:41,120 - pyskl - INFO - Epoch [38][500/523] lr: 4.805e-02, eta: 17:30:06, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.5116, top5_acc: 0.8247, loss_cls: 6.3396, loss: 6.3396 2025-05-05 17:56:51,825 - pyskl - INFO - Saving checkpoint at 38 epochs 2025-05-05 17:57:20,251 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 17:57:20,320 - pyskl - INFO - top1_acc 0.2461 top5_acc 0.4685 2025-05-05 17:57:20,321 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 17:57:20,328 - pyskl - INFO - mean_acc 0.2472 2025-05-05 17:57:20,330 - pyskl - INFO - Epoch(val) [38][198] top1_acc: 0.2461, top5_acc: 0.4685, mean_class_accuracy: 0.2472 2025-05-05 17:58:29,627 - pyskl - INFO - Epoch [39][100/523] lr: 4.803e-02, eta: 17:30:37, time: 0.693, data_time: 0.258, memory: 7964, top1_acc: 0.5506, top5_acc: 0.8528, loss_cls: 6.1489, loss: 6.1489 2025-05-05 17:59:11,925 - pyskl - INFO - Epoch [39][200/523] lr: 4.801e-02, eta: 17:29:26, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.5369, top5_acc: 0.8366, loss_cls: 6.2547, loss: 6.2547 2025-05-05 17:59:54,390 - pyskl - INFO - Epoch [39][300/523] lr: 4.799e-02, eta: 17:28:16, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.5447, top5_acc: 0.8397, loss_cls: 6.3258, loss: 6.3258 2025-05-05 18:00:36,512 - pyskl - INFO - Epoch [39][400/523] lr: 4.797e-02, eta: 17:27:03, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.5200, top5_acc: 0.8178, loss_cls: 6.3656, loss: 6.3656 2025-05-05 18:01:19,388 - pyskl - INFO - Epoch [39][500/523] lr: 4.795e-02, eta: 17:25:57, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.5262, top5_acc: 0.8381, loss_cls: 6.3615, loss: 6.3615 2025-05-05 18:01:29,784 - pyskl - INFO - Saving checkpoint at 39 epochs 2025-05-05 18:01:58,147 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:01:58,214 - pyskl - INFO - top1_acc 0.2526 top5_acc 0.4953 2025-05-05 18:01:58,215 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:01:58,222 - pyskl - INFO - mean_acc 0.2528 2025-05-05 18:01:58,224 - pyskl - INFO - Epoch(val) [39][198] top1_acc: 0.2526, top5_acc: 0.4953, mean_class_accuracy: 0.2528 2025-05-05 18:03:07,662 - pyskl - INFO - Epoch [40][100/523] lr: 4.792e-02, eta: 17:26:26, time: 0.694, data_time: 0.255, memory: 7964, top1_acc: 0.5387, top5_acc: 0.8475, loss_cls: 6.1607, loss: 6.1607 2025-05-05 18:03:51,618 - pyskl - INFO - Epoch [40][200/523] lr: 4.790e-02, eta: 17:25:26, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5525, top5_acc: 0.8469, loss_cls: 6.1781, loss: 6.1781 2025-05-05 18:04:34,060 - pyskl - INFO - Epoch [40][300/523] lr: 4.788e-02, eta: 17:24:17, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.5322, top5_acc: 0.8384, loss_cls: 6.3664, loss: 6.3664 2025-05-05 18:05:15,954 - pyskl - INFO - Epoch [40][400/523] lr: 4.786e-02, eta: 17:23:04, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.5487, top5_acc: 0.8438, loss_cls: 6.1918, loss: 6.1918 2025-05-05 18:05:58,769 - pyskl - INFO - Epoch [40][500/523] lr: 4.784e-02, eta: 17:21:57, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.5259, top5_acc: 0.8369, loss_cls: 6.3409, loss: 6.3409 2025-05-05 18:06:09,172 - pyskl - INFO - Saving checkpoint at 40 epochs 2025-05-05 18:06:37,547 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:06:37,615 - pyskl - INFO - top1_acc 0.2439 top5_acc 0.4850 2025-05-05 18:06:37,615 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:06:37,623 - pyskl - INFO - mean_acc 0.2425 2025-05-05 18:06:37,624 - pyskl - INFO - Epoch(val) [40][198] top1_acc: 0.2439, top5_acc: 0.4850, mean_class_accuracy: 0.2425 2025-05-05 18:07:46,509 - pyskl - INFO - Epoch [41][100/523] lr: 4.782e-02, eta: 17:22:20, time: 0.689, data_time: 0.258, memory: 7964, top1_acc: 0.5537, top5_acc: 0.8491, loss_cls: 6.1612, loss: 6.1612 2025-05-05 18:08:29,097 - pyskl - INFO - Epoch [41][200/523] lr: 4.780e-02, eta: 17:21:12, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.5422, top5_acc: 0.8416, loss_cls: 6.2566, loss: 6.2566 2025-05-05 18:09:10,997 - pyskl - INFO - Epoch [41][300/523] lr: 4.778e-02, eta: 17:20:00, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.5431, top5_acc: 0.8284, loss_cls: 6.3532, loss: 6.3532 2025-05-05 18:09:53,594 - pyskl - INFO - Epoch [41][400/523] lr: 4.776e-02, eta: 17:18:52, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.5413, top5_acc: 0.8441, loss_cls: 6.1823, loss: 6.1823 2025-05-05 18:10:36,304 - pyskl - INFO - Epoch [41][500/523] lr: 4.774e-02, eta: 17:17:46, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.5359, top5_acc: 0.8313, loss_cls: 6.3169, loss: 6.3169 2025-05-05 18:10:46,837 - pyskl - INFO - Saving checkpoint at 41 epochs 2025-05-05 18:11:15,295 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:11:15,364 - pyskl - INFO - top1_acc 0.2440 top5_acc 0.4587 2025-05-05 18:11:15,364 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:11:15,371 - pyskl - INFO - mean_acc 0.2434 2025-05-05 18:11:15,372 - pyskl - INFO - Epoch(val) [41][198] top1_acc: 0.2440, top5_acc: 0.4587, mean_class_accuracy: 0.2434 2025-05-05 18:12:24,765 - pyskl - INFO - Epoch [42][100/523] lr: 4.771e-02, eta: 17:18:10, time: 0.694, data_time: 0.262, memory: 7964, top1_acc: 0.5544, top5_acc: 0.8556, loss_cls: 6.1406, loss: 6.1406 2025-05-05 18:13:08,387 - pyskl - INFO - Epoch [42][200/523] lr: 4.769e-02, eta: 17:17:09, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5500, top5_acc: 0.8466, loss_cls: 6.2096, loss: 6.2096 2025-05-05 18:13:51,652 - pyskl - INFO - Epoch [42][300/523] lr: 4.767e-02, eta: 17:16:06, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.5503, top5_acc: 0.8434, loss_cls: 6.1213, loss: 6.1213 2025-05-05 18:14:33,638 - pyskl - INFO - Epoch [42][400/523] lr: 4.765e-02, eta: 17:14:55, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.5262, top5_acc: 0.8366, loss_cls: 6.2069, loss: 6.2069 2025-05-05 18:15:16,243 - pyskl - INFO - Epoch [42][500/523] lr: 4.763e-02, eta: 17:13:48, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.5328, top5_acc: 0.8244, loss_cls: 6.4174, loss: 6.4174 2025-05-05 18:15:26,674 - pyskl - INFO - Saving checkpoint at 42 epochs 2025-05-05 18:15:55,023 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:15:55,090 - pyskl - INFO - top1_acc 0.2234 top5_acc 0.4715 2025-05-05 18:15:55,091 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:15:55,098 - pyskl - INFO - mean_acc 0.2244 2025-05-05 18:15:55,099 - pyskl - INFO - Epoch(val) [42][198] top1_acc: 0.2234, top5_acc: 0.4715, mean_class_accuracy: 0.2244 2025-05-05 18:17:04,247 - pyskl - INFO - Epoch [43][100/523] lr: 4.760e-02, eta: 17:14:09, time: 0.691, data_time: 0.261, memory: 7964, top1_acc: 0.5544, top5_acc: 0.8622, loss_cls: 6.0665, loss: 6.0665 2025-05-05 18:17:47,889 - pyskl - INFO - Epoch [43][200/523] lr: 4.758e-02, eta: 17:13:08, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5375, top5_acc: 0.8484, loss_cls: 6.2796, loss: 6.2796 2025-05-05 18:18:30,843 - pyskl - INFO - Epoch [43][300/523] lr: 4.756e-02, eta: 17:12:04, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.5487, top5_acc: 0.8378, loss_cls: 6.1675, loss: 6.1675 2025-05-05 18:19:12,587 - pyskl - INFO - Epoch [43][400/523] lr: 4.753e-02, eta: 17:10:52, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.5291, top5_acc: 0.8300, loss_cls: 6.3550, loss: 6.3550 2025-05-05 18:19:54,683 - pyskl - INFO - Epoch [43][500/523] lr: 4.751e-02, eta: 17:09:43, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.5487, top5_acc: 0.8372, loss_cls: 6.2317, loss: 6.2317 2025-05-05 18:20:05,377 - pyskl - INFO - Saving checkpoint at 43 epochs 2025-05-05 18:20:33,836 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:20:33,905 - pyskl - INFO - top1_acc 0.2691 top5_acc 0.4947 2025-05-05 18:20:33,906 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:20:33,914 - pyskl - INFO - mean_acc 0.2676 2025-05-05 18:20:33,972 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_34.pth was removed 2025-05-05 18:20:35,539 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_43.pth. 2025-05-05 18:20:35,541 - pyskl - INFO - Best top1_acc is 0.2691 at 43 epoch. 2025-05-05 18:20:35,543 - pyskl - INFO - Epoch(val) [43][198] top1_acc: 0.2691, top5_acc: 0.4947, mean_class_accuracy: 0.2676 2025-05-05 18:21:44,665 - pyskl - INFO - Epoch [44][100/523] lr: 4.749e-02, eta: 17:10:01, time: 0.691, data_time: 0.256, memory: 7964, top1_acc: 0.5537, top5_acc: 0.8459, loss_cls: 6.1171, loss: 6.1171 2025-05-05 18:22:28,044 - pyskl - INFO - Epoch [44][200/523] lr: 4.746e-02, eta: 17:09:00, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.5509, top5_acc: 0.8528, loss_cls: 6.1708, loss: 6.1708 2025-05-05 18:23:10,355 - pyskl - INFO - Epoch [44][300/523] lr: 4.744e-02, eta: 17:07:52, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.5522, top5_acc: 0.8484, loss_cls: 6.2023, loss: 6.2023 2025-05-05 18:23:52,398 - pyskl - INFO - Epoch [44][400/523] lr: 4.742e-02, eta: 17:06:43, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.5494, top5_acc: 0.8422, loss_cls: 6.2670, loss: 6.2670 2025-05-05 18:24:34,203 - pyskl - INFO - Epoch [44][500/523] lr: 4.740e-02, eta: 17:05:33, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.5466, top5_acc: 0.8500, loss_cls: 6.2130, loss: 6.2130 2025-05-05 18:24:44,482 - pyskl - INFO - Saving checkpoint at 44 epochs 2025-05-05 18:25:12,835 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:25:12,904 - pyskl - INFO - top1_acc 0.2624 top5_acc 0.4975 2025-05-05 18:25:12,904 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:25:12,911 - pyskl - INFO - mean_acc 0.2626 2025-05-05 18:25:12,913 - pyskl - INFO - Epoch(val) [44][198] top1_acc: 0.2624, top5_acc: 0.4975, mean_class_accuracy: 0.2626 2025-05-05 18:26:22,071 - pyskl - INFO - Epoch [45][100/523] lr: 4.737e-02, eta: 17:05:49, time: 0.692, data_time: 0.259, memory: 7964, top1_acc: 0.5703, top5_acc: 0.8566, loss_cls: 5.9902, loss: 5.9902 2025-05-05 18:27:06,186 - pyskl - INFO - Epoch [45][200/523] lr: 4.735e-02, eta: 17:04:53, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5619, top5_acc: 0.8534, loss_cls: 6.1306, loss: 6.1306 2025-05-05 18:27:49,744 - pyskl - INFO - Epoch [45][300/523] lr: 4.733e-02, eta: 17:03:53, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5603, top5_acc: 0.8478, loss_cls: 6.1039, loss: 6.1039 2025-05-05 18:28:31,701 - pyskl - INFO - Epoch [45][400/523] lr: 4.730e-02, eta: 17:02:44, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.5478, top5_acc: 0.8506, loss_cls: 6.2304, loss: 6.2304 2025-05-05 18:29:14,336 - pyskl - INFO - Epoch [45][500/523] lr: 4.728e-02, eta: 17:01:39, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.5419, top5_acc: 0.8441, loss_cls: 6.2526, loss: 6.2526 2025-05-05 18:29:24,987 - pyskl - INFO - Saving checkpoint at 45 epochs 2025-05-05 18:29:53,388 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:29:53,456 - pyskl - INFO - top1_acc 0.2364 top5_acc 0.4760 2025-05-05 18:29:53,456 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:29:53,463 - pyskl - INFO - mean_acc 0.2364 2025-05-05 18:29:53,464 - pyskl - INFO - Epoch(val) [45][198] top1_acc: 0.2364, top5_acc: 0.4760, mean_class_accuracy: 0.2364 2025-05-05 18:31:02,122 - pyskl - INFO - Epoch [46][100/523] lr: 4.725e-02, eta: 17:01:50, time: 0.686, data_time: 0.260, memory: 7964, top1_acc: 0.5619, top5_acc: 0.8553, loss_cls: 6.0563, loss: 6.0563 2025-05-05 18:31:45,741 - pyskl - INFO - Epoch [46][200/523] lr: 4.723e-02, eta: 17:00:51, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5413, top5_acc: 0.8450, loss_cls: 6.2415, loss: 6.2415 2025-05-05 18:32:28,592 - pyskl - INFO - Epoch [46][300/523] lr: 4.721e-02, eta: 16:59:48, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.5613, top5_acc: 0.8512, loss_cls: 6.2008, loss: 6.2008 2025-05-05 18:33:10,737 - pyskl - INFO - Epoch [46][400/523] lr: 4.718e-02, eta: 16:58:40, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.5513, top5_acc: 0.8550, loss_cls: 6.1552, loss: 6.1552 2025-05-05 18:33:53,795 - pyskl - INFO - Epoch [46][500/523] lr: 4.716e-02, eta: 16:57:38, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.5456, top5_acc: 0.8384, loss_cls: 6.2082, loss: 6.2082 2025-05-05 18:34:04,292 - pyskl - INFO - Saving checkpoint at 46 epochs 2025-05-05 18:34:32,691 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:34:32,760 - pyskl - INFO - top1_acc 0.2619 top5_acc 0.4790 2025-05-05 18:34:32,760 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:34:32,768 - pyskl - INFO - mean_acc 0.2644 2025-05-05 18:34:32,769 - pyskl - INFO - Epoch(val) [46][198] top1_acc: 0.2619, top5_acc: 0.4790, mean_class_accuracy: 0.2644 2025-05-05 18:35:41,962 - pyskl - INFO - Epoch [47][100/523] lr: 4.713e-02, eta: 16:57:51, time: 0.692, data_time: 0.260, memory: 7964, top1_acc: 0.5725, top5_acc: 0.8597, loss_cls: 5.9724, loss: 5.9724 2025-05-05 18:36:24,735 - pyskl - INFO - Epoch [47][200/523] lr: 4.711e-02, eta: 16:56:48, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.5734, top5_acc: 0.8531, loss_cls: 6.0744, loss: 6.0744 2025-05-05 18:37:07,647 - pyskl - INFO - Epoch [47][300/523] lr: 4.709e-02, eta: 16:55:45, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.5372, top5_acc: 0.8450, loss_cls: 6.1562, loss: 6.1562 2025-05-05 18:37:50,222 - pyskl - INFO - Epoch [47][400/523] lr: 4.706e-02, eta: 16:54:40, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.5563, top5_acc: 0.8522, loss_cls: 6.1106, loss: 6.1106 2025-05-05 18:38:32,116 - pyskl - INFO - Epoch [47][500/523] lr: 4.704e-02, eta: 16:53:32, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.5475, top5_acc: 0.8369, loss_cls: 6.2523, loss: 6.2523 2025-05-05 18:38:42,588 - pyskl - INFO - Saving checkpoint at 47 epochs 2025-05-05 18:39:10,761 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:39:10,829 - pyskl - INFO - top1_acc 0.2557 top5_acc 0.4609 2025-05-05 18:39:10,829 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:39:10,836 - pyskl - INFO - mean_acc 0.2568 2025-05-05 18:39:10,837 - pyskl - INFO - Epoch(val) [47][198] top1_acc: 0.2557, top5_acc: 0.4609, mean_class_accuracy: 0.2568 2025-05-05 18:40:19,633 - pyskl - INFO - Epoch [48][100/523] lr: 4.701e-02, eta: 16:53:42, time: 0.688, data_time: 0.259, memory: 7964, top1_acc: 0.5709, top5_acc: 0.8744, loss_cls: 5.9888, loss: 5.9888 2025-05-05 18:41:03,525 - pyskl - INFO - Epoch [48][200/523] lr: 4.699e-02, eta: 16:52:44, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5728, top5_acc: 0.8609, loss_cls: 5.9601, loss: 5.9601 2025-05-05 18:41:47,111 - pyskl - INFO - Epoch [48][300/523] lr: 4.696e-02, eta: 16:51:46, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5572, top5_acc: 0.8403, loss_cls: 6.2043, loss: 6.2043 2025-05-05 18:42:29,326 - pyskl - INFO - Epoch [48][400/523] lr: 4.694e-02, eta: 16:50:40, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.5500, top5_acc: 0.8453, loss_cls: 6.0973, loss: 6.0973 2025-05-05 18:43:11,510 - pyskl - INFO - Epoch [48][500/523] lr: 4.691e-02, eta: 16:49:34, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.5559, top5_acc: 0.8562, loss_cls: 6.0565, loss: 6.0565 2025-05-05 18:43:22,029 - pyskl - INFO - Saving checkpoint at 48 epochs 2025-05-05 18:43:50,223 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:43:50,291 - pyskl - INFO - top1_acc 0.2721 top5_acc 0.5166 2025-05-05 18:43:50,291 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:43:50,299 - pyskl - INFO - mean_acc 0.2729 2025-05-05 18:43:50,358 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_43.pth was removed 2025-05-05 18:43:52,030 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_48.pth. 2025-05-05 18:43:52,032 - pyskl - INFO - Best top1_acc is 0.2721 at 48 epoch. 2025-05-05 18:43:52,034 - pyskl - INFO - Epoch(val) [48][198] top1_acc: 0.2721, top5_acc: 0.5166, mean_class_accuracy: 0.2729 2025-05-05 18:44:59,389 - pyskl - INFO - Epoch [49][100/523] lr: 4.688e-02, eta: 16:49:34, time: 0.674, data_time: 0.255, memory: 7964, top1_acc: 0.5766, top5_acc: 0.8662, loss_cls: 6.0255, loss: 6.0255 2025-05-05 18:45:42,885 - pyskl - INFO - Epoch [49][200/523] lr: 4.686e-02, eta: 16:48:35, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.5666, top5_acc: 0.8609, loss_cls: 6.1091, loss: 6.1091 2025-05-05 18:46:24,690 - pyskl - INFO - Epoch [49][300/523] lr: 4.684e-02, eta: 16:47:27, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.5500, top5_acc: 0.8397, loss_cls: 6.1544, loss: 6.1544 2025-05-05 18:47:06,594 - pyskl - INFO - Epoch [49][400/523] lr: 4.681e-02, eta: 16:46:20, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.5619, top5_acc: 0.8503, loss_cls: 6.1110, loss: 6.1110 2025-05-05 18:47:48,374 - pyskl - INFO - Epoch [49][500/523] lr: 4.679e-02, eta: 16:45:13, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.5647, top5_acc: 0.8522, loss_cls: 6.1439, loss: 6.1439 2025-05-05 18:47:58,688 - pyskl - INFO - Saving checkpoint at 49 epochs 2025-05-05 18:48:27,053 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:48:27,125 - pyskl - INFO - top1_acc 0.2870 top5_acc 0.5251 2025-05-05 18:48:27,125 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:48:27,133 - pyskl - INFO - mean_acc 0.2860 2025-05-05 18:48:27,189 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_48.pth was removed 2025-05-05 18:48:28,744 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth. 2025-05-05 18:48:28,746 - pyskl - INFO - Best top1_acc is 0.2870 at 49 epoch. 2025-05-05 18:48:28,749 - pyskl - INFO - Epoch(val) [49][198] top1_acc: 0.2870, top5_acc: 0.5251, mean_class_accuracy: 0.2860 2025-05-05 18:49:36,881 - pyskl - INFO - Epoch [50][100/523] lr: 4.676e-02, eta: 16:45:16, time: 0.681, data_time: 0.253, memory: 7964, top1_acc: 0.5903, top5_acc: 0.8731, loss_cls: 5.9320, loss: 5.9320 2025-05-05 18:50:20,192 - pyskl - INFO - Epoch [50][200/523] lr: 4.673e-02, eta: 16:44:16, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.5725, top5_acc: 0.8569, loss_cls: 5.9671, loss: 5.9671 2025-05-05 18:51:03,155 - pyskl - INFO - Epoch [50][300/523] lr: 4.671e-02, eta: 16:43:15, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.5569, top5_acc: 0.8500, loss_cls: 6.0538, loss: 6.0538 2025-05-05 18:51:46,198 - pyskl - INFO - Epoch [50][400/523] lr: 4.668e-02, eta: 16:42:14, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.5606, top5_acc: 0.8484, loss_cls: 6.0695, loss: 6.0695 2025-05-05 18:52:28,038 - pyskl - INFO - Epoch [50][500/523] lr: 4.666e-02, eta: 16:41:08, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.5344, top5_acc: 0.8453, loss_cls: 6.2335, loss: 6.2335 2025-05-05 18:52:38,439 - pyskl - INFO - Saving checkpoint at 50 epochs 2025-05-05 18:53:06,939 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:53:07,008 - pyskl - INFO - top1_acc 0.2718 top5_acc 0.5121 2025-05-05 18:53:07,009 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:53:07,021 - pyskl - INFO - mean_acc 0.2715 2025-05-05 18:53:07,023 - pyskl - INFO - Epoch(val) [50][198] top1_acc: 0.2718, top5_acc: 0.5121, mean_class_accuracy: 0.2715 2025-05-05 18:54:16,269 - pyskl - INFO - Epoch [51][100/523] lr: 4.663e-02, eta: 16:41:15, time: 0.692, data_time: 0.261, memory: 7964, top1_acc: 0.5850, top5_acc: 0.8706, loss_cls: 5.9218, loss: 5.9218 2025-05-05 18:55:00,239 - pyskl - INFO - Epoch [51][200/523] lr: 4.660e-02, eta: 16:40:19, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5816, top5_acc: 0.8628, loss_cls: 5.9860, loss: 5.9860 2025-05-05 18:55:43,619 - pyskl - INFO - Epoch [51][300/523] lr: 4.658e-02, eta: 16:39:20, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.5637, top5_acc: 0.8494, loss_cls: 6.0074, loss: 6.0074 2025-05-05 18:56:26,343 - pyskl - INFO - Epoch [51][400/523] lr: 4.655e-02, eta: 16:38:18, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.5566, top5_acc: 0.8544, loss_cls: 6.0139, loss: 6.0139 2025-05-05 18:57:08,420 - pyskl - INFO - Epoch [51][500/523] lr: 4.652e-02, eta: 16:37:13, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.5466, top5_acc: 0.8497, loss_cls: 6.1010, loss: 6.1010 2025-05-05 18:57:18,728 - pyskl - INFO - Saving checkpoint at 51 epochs 2025-05-05 18:57:47,166 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 18:57:47,234 - pyskl - INFO - top1_acc 0.2315 top5_acc 0.4558 2025-05-05 18:57:47,235 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 18:57:47,242 - pyskl - INFO - mean_acc 0.2303 2025-05-05 18:57:47,244 - pyskl - INFO - Epoch(val) [51][198] top1_acc: 0.2315, top5_acc: 0.4558, mean_class_accuracy: 0.2303 2025-05-05 18:58:55,301 - pyskl - INFO - Epoch [52][100/523] lr: 4.649e-02, eta: 16:37:13, time: 0.680, data_time: 0.259, memory: 7964, top1_acc: 0.5737, top5_acc: 0.8634, loss_cls: 6.0553, loss: 6.0553 2025-05-05 18:59:38,682 - pyskl - INFO - Epoch [52][200/523] lr: 4.647e-02, eta: 16:36:14, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.5713, top5_acc: 0.8666, loss_cls: 5.9852, loss: 5.9852 2025-05-05 19:00:21,620 - pyskl - INFO - Epoch [52][300/523] lr: 4.644e-02, eta: 16:35:14, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.5581, top5_acc: 0.8478, loss_cls: 6.1419, loss: 6.1419 2025-05-05 19:01:05,044 - pyskl - INFO - Epoch [52][400/523] lr: 4.642e-02, eta: 16:34:16, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.5591, top5_acc: 0.8512, loss_cls: 6.0746, loss: 6.0746 2025-05-05 19:01:46,967 - pyskl - INFO - Epoch [52][500/523] lr: 4.639e-02, eta: 16:33:10, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.5716, top5_acc: 0.8544, loss_cls: 6.0406, loss: 6.0406 2025-05-05 19:01:57,378 - pyskl - INFO - Saving checkpoint at 52 epochs 2025-05-05 19:02:25,966 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:02:26,039 - pyskl - INFO - top1_acc 0.2851 top5_acc 0.5305 2025-05-05 19:02:26,039 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:02:26,047 - pyskl - INFO - mean_acc 0.2857 2025-05-05 19:02:26,049 - pyskl - INFO - Epoch(val) [52][198] top1_acc: 0.2851, top5_acc: 0.5305, mean_class_accuracy: 0.2857 2025-05-05 19:03:35,314 - pyskl - INFO - Epoch [53][100/523] lr: 4.636e-02, eta: 16:33:14, time: 0.693, data_time: 0.261, memory: 7964, top1_acc: 0.6078, top5_acc: 0.8775, loss_cls: 5.8790, loss: 5.8790 2025-05-05 19:04:19,124 - pyskl - INFO - Epoch [53][200/523] lr: 4.633e-02, eta: 16:32:18, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.5819, top5_acc: 0.8744, loss_cls: 5.8451, loss: 5.8451 2025-05-05 19:05:03,098 - pyskl - INFO - Epoch [53][300/523] lr: 4.631e-02, eta: 16:31:23, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5725, top5_acc: 0.8578, loss_cls: 5.9955, loss: 5.9955 2025-05-05 19:05:46,266 - pyskl - INFO - Epoch [53][400/523] lr: 4.628e-02, eta: 16:30:24, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.5634, top5_acc: 0.8519, loss_cls: 6.1124, loss: 6.1124 2025-05-05 19:06:28,037 - pyskl - INFO - Epoch [53][500/523] lr: 4.625e-02, eta: 16:29:18, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.5625, top5_acc: 0.8625, loss_cls: 6.1260, loss: 6.1260 2025-05-05 19:06:38,398 - pyskl - INFO - Saving checkpoint at 53 epochs 2025-05-05 19:07:06,853 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:07:06,921 - pyskl - INFO - top1_acc 0.2783 top5_acc 0.4985 2025-05-05 19:07:06,922 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:07:06,930 - pyskl - INFO - mean_acc 0.2792 2025-05-05 19:07:06,932 - pyskl - INFO - Epoch(val) [53][198] top1_acc: 0.2783, top5_acc: 0.4985, mean_class_accuracy: 0.2792 2025-05-05 19:08:16,691 - pyskl - INFO - Epoch [54][100/523] lr: 4.622e-02, eta: 16:29:23, time: 0.698, data_time: 0.263, memory: 7964, top1_acc: 0.5794, top5_acc: 0.8684, loss_cls: 5.9820, loss: 5.9820 2025-05-05 19:09:00,481 - pyskl - INFO - Epoch [54][200/523] lr: 4.619e-02, eta: 16:28:27, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.5850, top5_acc: 0.8666, loss_cls: 5.9762, loss: 5.9762 2025-05-05 19:09:43,656 - pyskl - INFO - Epoch [54][300/523] lr: 4.617e-02, eta: 16:27:28, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.5634, top5_acc: 0.8625, loss_cls: 6.0170, loss: 6.0170 2025-05-05 19:10:26,955 - pyskl - INFO - Epoch [54][400/523] lr: 4.614e-02, eta: 16:26:30, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.5672, top5_acc: 0.8556, loss_cls: 6.0885, loss: 6.0885 2025-05-05 19:11:08,804 - pyskl - INFO - Epoch [54][500/523] lr: 4.611e-02, eta: 16:25:25, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.5713, top5_acc: 0.8641, loss_cls: 6.0411, loss: 6.0411 2025-05-05 19:11:19,286 - pyskl - INFO - Saving checkpoint at 54 epochs 2025-05-05 19:11:47,794 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:11:47,863 - pyskl - INFO - top1_acc 0.2510 top5_acc 0.4948 2025-05-05 19:11:47,863 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:11:47,871 - pyskl - INFO - mean_acc 0.2538 2025-05-05 19:11:47,873 - pyskl - INFO - Epoch(val) [54][198] top1_acc: 0.2510, top5_acc: 0.4948, mean_class_accuracy: 0.2538 2025-05-05 19:12:57,358 - pyskl - INFO - Epoch [55][100/523] lr: 4.608e-02, eta: 16:25:28, time: 0.695, data_time: 0.260, memory: 7964, top1_acc: 0.5897, top5_acc: 0.8775, loss_cls: 5.8464, loss: 5.8464 2025-05-05 19:13:40,864 - pyskl - INFO - Epoch [55][200/523] lr: 4.605e-02, eta: 16:24:30, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.5806, top5_acc: 0.8684, loss_cls: 5.8941, loss: 5.8941 2025-05-05 19:14:23,830 - pyskl - INFO - Epoch [55][300/523] lr: 4.603e-02, eta: 16:23:31, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.5791, top5_acc: 0.8659, loss_cls: 5.9433, loss: 5.9433 2025-05-05 19:15:07,478 - pyskl - INFO - Epoch [55][400/523] lr: 4.600e-02, eta: 16:22:34, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5584, top5_acc: 0.8572, loss_cls: 5.9904, loss: 5.9904 2025-05-05 19:15:49,463 - pyskl - INFO - Epoch [55][500/523] lr: 4.597e-02, eta: 16:21:31, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.5684, top5_acc: 0.8647, loss_cls: 5.9602, loss: 5.9602 2025-05-05 19:15:59,758 - pyskl - INFO - Saving checkpoint at 55 epochs 2025-05-05 19:16:28,496 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:16:28,565 - pyskl - INFO - top1_acc 0.2659 top5_acc 0.4896 2025-05-05 19:16:28,565 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:16:28,573 - pyskl - INFO - mean_acc 0.2637 2025-05-05 19:16:28,574 - pyskl - INFO - Epoch(val) [55][198] top1_acc: 0.2659, top5_acc: 0.4896, mean_class_accuracy: 0.2637 2025-05-05 19:17:37,424 - pyskl - INFO - Epoch [56][100/523] lr: 4.594e-02, eta: 16:21:29, time: 0.688, data_time: 0.258, memory: 7964, top1_acc: 0.5925, top5_acc: 0.8872, loss_cls: 5.8052, loss: 5.8052 2025-05-05 19:18:20,667 - pyskl - INFO - Epoch [56][200/523] lr: 4.591e-02, eta: 16:20:31, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.5897, top5_acc: 0.8650, loss_cls: 5.8239, loss: 5.8239 2025-05-05 19:19:03,522 - pyskl - INFO - Epoch [56][300/523] lr: 4.588e-02, eta: 16:19:31, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.5772, top5_acc: 0.8584, loss_cls: 5.9866, loss: 5.9866 2025-05-05 19:19:46,645 - pyskl - INFO - Epoch [56][400/523] lr: 4.586e-02, eta: 16:18:32, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.5772, top5_acc: 0.8659, loss_cls: 5.9840, loss: 5.9840 2025-05-05 19:20:28,846 - pyskl - INFO - Epoch [56][500/523] lr: 4.583e-02, eta: 16:17:30, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.5706, top5_acc: 0.8625, loss_cls: 6.0181, loss: 6.0181 2025-05-05 19:20:39,163 - pyskl - INFO - Saving checkpoint at 56 epochs 2025-05-05 19:21:07,418 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:21:07,486 - pyskl - INFO - top1_acc 0.2453 top5_acc 0.4524 2025-05-05 19:21:07,486 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:21:07,493 - pyskl - INFO - mean_acc 0.2462 2025-05-05 19:21:07,495 - pyskl - INFO - Epoch(val) [56][198] top1_acc: 0.2453, top5_acc: 0.4524, mean_class_accuracy: 0.2462 2025-05-05 19:22:17,149 - pyskl - INFO - Epoch [57][100/523] lr: 4.580e-02, eta: 16:17:30, time: 0.696, data_time: 0.257, memory: 7964, top1_acc: 0.5984, top5_acc: 0.8816, loss_cls: 5.7278, loss: 5.7278 2025-05-05 19:23:01,024 - pyskl - INFO - Epoch [57][200/523] lr: 4.577e-02, eta: 16:16:35, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5887, top5_acc: 0.8666, loss_cls: 5.9054, loss: 5.9054 2025-05-05 19:23:43,893 - pyskl - INFO - Epoch [57][300/523] lr: 4.574e-02, eta: 16:15:36, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.5913, top5_acc: 0.8716, loss_cls: 5.8723, loss: 5.8723 2025-05-05 19:24:26,248 - pyskl - INFO - Epoch [57][400/523] lr: 4.571e-02, eta: 16:14:34, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.5675, top5_acc: 0.8544, loss_cls: 6.0214, loss: 6.0214 2025-05-05 19:25:08,004 - pyskl - INFO - Epoch [57][500/523] lr: 4.568e-02, eta: 16:13:30, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.5709, top5_acc: 0.8616, loss_cls: 5.9931, loss: 5.9931 2025-05-05 19:25:18,316 - pyskl - INFO - Saving checkpoint at 57 epochs 2025-05-05 19:25:46,996 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:25:47,065 - pyskl - INFO - top1_acc 0.2906 top5_acc 0.5254 2025-05-05 19:25:47,065 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:25:47,072 - pyskl - INFO - mean_acc 0.2910 2025-05-05 19:25:47,129 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_49.pth was removed 2025-05-05 19:25:48,644 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_57.pth. 2025-05-05 19:25:48,646 - pyskl - INFO - Best top1_acc is 0.2906 at 57 epoch. 2025-05-05 19:25:48,649 - pyskl - INFO - Epoch(val) [57][198] top1_acc: 0.2906, top5_acc: 0.5254, mean_class_accuracy: 0.2910 2025-05-05 19:26:57,239 - pyskl - INFO - Epoch [58][100/523] lr: 4.565e-02, eta: 16:13:25, time: 0.686, data_time: 0.254, memory: 7964, top1_acc: 0.5978, top5_acc: 0.8781, loss_cls: 5.8185, loss: 5.8185 2025-05-05 19:27:40,049 - pyskl - INFO - Epoch [58][200/523] lr: 4.562e-02, eta: 16:12:26, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.5881, top5_acc: 0.8662, loss_cls: 5.8844, loss: 5.8844 2025-05-05 19:28:23,275 - pyskl - INFO - Epoch [58][300/523] lr: 4.559e-02, eta: 16:11:28, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.5744, top5_acc: 0.8688, loss_cls: 5.9154, loss: 5.9154 2025-05-05 19:29:06,217 - pyskl - INFO - Epoch [58][400/523] lr: 4.556e-02, eta: 16:10:29, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.5897, top5_acc: 0.8606, loss_cls: 5.9797, loss: 5.9797 2025-05-05 19:29:48,459 - pyskl - INFO - Epoch [58][500/523] lr: 4.554e-02, eta: 16:09:28, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.5659, top5_acc: 0.8516, loss_cls: 6.0533, loss: 6.0533 2025-05-05 19:29:58,698 - pyskl - INFO - Saving checkpoint at 58 epochs 2025-05-05 19:30:27,314 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:30:27,382 - pyskl - INFO - top1_acc 0.2550 top5_acc 0.4864 2025-05-05 19:30:27,382 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:30:27,390 - pyskl - INFO - mean_acc 0.2565 2025-05-05 19:30:27,392 - pyskl - INFO - Epoch(val) [58][198] top1_acc: 0.2550, top5_acc: 0.4864, mean_class_accuracy: 0.2565 2025-05-05 19:31:36,123 - pyskl - INFO - Epoch [59][100/523] lr: 4.550e-02, eta: 16:09:22, time: 0.687, data_time: 0.258, memory: 7964, top1_acc: 0.6041, top5_acc: 0.8900, loss_cls: 5.7878, loss: 5.7878 2025-05-05 19:32:20,014 - pyskl - INFO - Epoch [59][200/523] lr: 4.547e-02, eta: 16:08:27, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5875, top5_acc: 0.8703, loss_cls: 5.9039, loss: 5.9039 2025-05-05 19:33:03,252 - pyskl - INFO - Epoch [59][300/523] lr: 4.544e-02, eta: 16:07:30, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.5806, top5_acc: 0.8778, loss_cls: 5.8782, loss: 5.8782 2025-05-05 19:33:46,852 - pyskl - INFO - Epoch [59][400/523] lr: 4.541e-02, eta: 16:06:34, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5994, top5_acc: 0.8738, loss_cls: 5.8636, loss: 5.8636 2025-05-05 19:34:28,952 - pyskl - INFO - Epoch [59][500/523] lr: 4.539e-02, eta: 16:05:33, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.5722, top5_acc: 0.8672, loss_cls: 6.0564, loss: 6.0564 2025-05-05 19:34:39,200 - pyskl - INFO - Saving checkpoint at 59 epochs 2025-05-05 19:35:08,208 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:35:08,284 - pyskl - INFO - top1_acc 0.2841 top5_acc 0.5224 2025-05-05 19:35:08,285 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:35:08,293 - pyskl - INFO - mean_acc 0.2833 2025-05-05 19:35:08,294 - pyskl - INFO - Epoch(val) [59][198] top1_acc: 0.2841, top5_acc: 0.5224, mean_class_accuracy: 0.2833 2025-05-05 19:36:17,613 - pyskl - INFO - Epoch [60][100/523] lr: 4.535e-02, eta: 16:05:28, time: 0.693, data_time: 0.258, memory: 7964, top1_acc: 0.6175, top5_acc: 0.8925, loss_cls: 5.5984, loss: 5.5984 2025-05-05 19:37:01,199 - pyskl - INFO - Epoch [60][200/523] lr: 4.532e-02, eta: 16:04:32, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5816, top5_acc: 0.8659, loss_cls: 5.9811, loss: 5.9811 2025-05-05 19:37:43,773 - pyskl - INFO - Epoch [60][300/523] lr: 4.529e-02, eta: 16:03:33, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.5887, top5_acc: 0.8697, loss_cls: 5.8216, loss: 5.8216 2025-05-05 19:38:26,832 - pyskl - INFO - Epoch [60][400/523] lr: 4.526e-02, eta: 16:02:35, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.5741, top5_acc: 0.8616, loss_cls: 5.9393, loss: 5.9393 2025-05-05 19:39:09,346 - pyskl - INFO - Epoch [60][500/523] lr: 4.523e-02, eta: 16:01:35, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.5791, top5_acc: 0.8566, loss_cls: 6.0053, loss: 6.0053 2025-05-05 19:39:19,651 - pyskl - INFO - Saving checkpoint at 60 epochs 2025-05-05 19:39:48,239 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:39:48,307 - pyskl - INFO - top1_acc 0.2716 top5_acc 0.5085 2025-05-05 19:39:48,307 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:39:48,314 - pyskl - INFO - mean_acc 0.2711 2025-05-05 19:39:48,316 - pyskl - INFO - Epoch(val) [60][198] top1_acc: 0.2716, top5_acc: 0.5085, mean_class_accuracy: 0.2711 2025-05-05 19:40:57,976 - pyskl - INFO - Epoch [61][100/523] lr: 4.520e-02, eta: 16:01:31, time: 0.697, data_time: 0.264, memory: 7964, top1_acc: 0.5959, top5_acc: 0.8684, loss_cls: 5.8611, loss: 5.8611 2025-05-05 19:41:41,693 - pyskl - INFO - Epoch [61][200/523] lr: 4.517e-02, eta: 16:00:36, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.5897, top5_acc: 0.8809, loss_cls: 5.8034, loss: 5.8034 2025-05-05 19:42:25,316 - pyskl - INFO - Epoch [61][300/523] lr: 4.514e-02, eta: 15:59:40, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5881, top5_acc: 0.8669, loss_cls: 5.8175, loss: 5.8175 2025-05-05 19:43:08,619 - pyskl - INFO - Epoch [61][400/523] lr: 4.511e-02, eta: 15:58:44, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.5872, top5_acc: 0.8778, loss_cls: 5.8321, loss: 5.8321 2025-05-05 19:43:51,344 - pyskl - INFO - Epoch [61][500/523] lr: 4.508e-02, eta: 15:57:45, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.5919, top5_acc: 0.8700, loss_cls: 5.8614, loss: 5.8614 2025-05-05 19:44:01,769 - pyskl - INFO - Saving checkpoint at 61 epochs 2025-05-05 19:44:30,308 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:44:30,377 - pyskl - INFO - top1_acc 0.2797 top5_acc 0.5025 2025-05-05 19:44:30,377 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:44:30,385 - pyskl - INFO - mean_acc 0.2791 2025-05-05 19:44:30,386 - pyskl - INFO - Epoch(val) [61][198] top1_acc: 0.2797, top5_acc: 0.5025, mean_class_accuracy: 0.2791 2025-05-05 19:45:39,454 - pyskl - INFO - Epoch [62][100/523] lr: 4.504e-02, eta: 15:57:37, time: 0.691, data_time: 0.264, memory: 7964, top1_acc: 0.6091, top5_acc: 0.8828, loss_cls: 5.7997, loss: 5.7997 2025-05-05 19:46:23,163 - pyskl - INFO - Epoch [62][200/523] lr: 4.501e-02, eta: 15:56:42, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6334, top5_acc: 0.8938, loss_cls: 5.6532, loss: 5.6532 2025-05-05 19:47:06,855 - pyskl - INFO - Epoch [62][300/523] lr: 4.498e-02, eta: 15:55:48, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.5844, top5_acc: 0.8625, loss_cls: 5.9181, loss: 5.9181 2025-05-05 19:47:50,093 - pyskl - INFO - Epoch [62][400/523] lr: 4.495e-02, eta: 15:54:51, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.5800, top5_acc: 0.8759, loss_cls: 5.7878, loss: 5.7878 2025-05-05 19:48:33,089 - pyskl - INFO - Epoch [62][500/523] lr: 4.492e-02, eta: 15:53:53, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6009, top5_acc: 0.8709, loss_cls: 5.7816, loss: 5.7816 2025-05-05 19:48:43,390 - pyskl - INFO - Saving checkpoint at 62 epochs 2025-05-05 19:49:12,359 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:49:12,427 - pyskl - INFO - top1_acc 0.2722 top5_acc 0.5056 2025-05-05 19:49:12,428 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:49:12,435 - pyskl - INFO - mean_acc 0.2720 2025-05-05 19:49:12,436 - pyskl - INFO - Epoch(val) [62][198] top1_acc: 0.2722, top5_acc: 0.5056, mean_class_accuracy: 0.2720 2025-05-05 19:50:21,249 - pyskl - INFO - Epoch [63][100/523] lr: 4.488e-02, eta: 15:53:44, time: 0.688, data_time: 0.258, memory: 7964, top1_acc: 0.6141, top5_acc: 0.8850, loss_cls: 5.7549, loss: 5.7549 2025-05-05 19:51:05,291 - pyskl - INFO - Epoch [63][200/523] lr: 4.485e-02, eta: 15:52:50, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5913, top5_acc: 0.8822, loss_cls: 5.8018, loss: 5.8018 2025-05-05 19:51:48,193 - pyskl - INFO - Epoch [63][300/523] lr: 4.482e-02, eta: 15:51:53, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.5913, top5_acc: 0.8684, loss_cls: 5.8623, loss: 5.8623 2025-05-05 19:52:31,301 - pyskl - INFO - Epoch [63][400/523] lr: 4.479e-02, eta: 15:50:56, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.5878, top5_acc: 0.8647, loss_cls: 5.8143, loss: 5.8143 2025-05-05 19:53:14,359 - pyskl - INFO - Epoch [63][500/523] lr: 4.476e-02, eta: 15:49:59, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.5819, top5_acc: 0.8659, loss_cls: 5.9575, loss: 5.9575 2025-05-05 19:53:24,679 - pyskl - INFO - Saving checkpoint at 63 epochs 2025-05-05 19:53:53,508 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:53:53,580 - pyskl - INFO - top1_acc 0.2851 top5_acc 0.4964 2025-05-05 19:53:53,580 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:53:53,590 - pyskl - INFO - mean_acc 0.2843 2025-05-05 19:53:53,592 - pyskl - INFO - Epoch(val) [63][198] top1_acc: 0.2851, top5_acc: 0.4964, mean_class_accuracy: 0.2843 2025-05-05 19:55:03,110 - pyskl - INFO - Epoch [64][100/523] lr: 4.472e-02, eta: 15:49:51, time: 0.695, data_time: 0.261, memory: 7964, top1_acc: 0.6241, top5_acc: 0.8922, loss_cls: 5.6253, loss: 5.6253 2025-05-05 19:55:47,072 - pyskl - INFO - Epoch [64][200/523] lr: 4.469e-02, eta: 15:48:57, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5897, top5_acc: 0.8791, loss_cls: 5.7887, loss: 5.7887 2025-05-05 19:56:29,779 - pyskl - INFO - Epoch [64][300/523] lr: 4.466e-02, eta: 15:47:59, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.5934, top5_acc: 0.8794, loss_cls: 5.7888, loss: 5.7888 2025-05-05 19:57:11,741 - pyskl - INFO - Epoch [64][400/523] lr: 4.463e-02, eta: 15:46:58, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.5831, top5_acc: 0.8725, loss_cls: 5.7569, loss: 5.7569 2025-05-05 19:57:53,866 - pyskl - INFO - Epoch [64][500/523] lr: 4.460e-02, eta: 15:45:57, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.5787, top5_acc: 0.8703, loss_cls: 5.8415, loss: 5.8415 2025-05-05 19:58:04,164 - pyskl - INFO - Saving checkpoint at 64 epochs 2025-05-05 19:58:33,015 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 19:58:33,085 - pyskl - INFO - top1_acc 0.2345 top5_acc 0.4427 2025-05-05 19:58:33,085 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 19:58:33,095 - pyskl - INFO - mean_acc 0.2352 2025-05-05 19:58:33,097 - pyskl - INFO - Epoch(val) [64][198] top1_acc: 0.2345, top5_acc: 0.4427, mean_class_accuracy: 0.2352 2025-05-05 19:59:41,462 - pyskl - INFO - Epoch [65][100/523] lr: 4.456e-02, eta: 15:45:44, time: 0.684, data_time: 0.257, memory: 7964, top1_acc: 0.6159, top5_acc: 0.8878, loss_cls: 5.6970, loss: 5.6970 2025-05-05 20:00:24,899 - pyskl - INFO - Epoch [65][200/523] lr: 4.453e-02, eta: 15:44:49, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6194, top5_acc: 0.8841, loss_cls: 5.6985, loss: 5.6985 2025-05-05 20:01:07,424 - pyskl - INFO - Epoch [65][300/523] lr: 4.450e-02, eta: 15:43:50, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.5850, top5_acc: 0.8588, loss_cls: 5.9072, loss: 5.9072 2025-05-05 20:01:50,880 - pyskl - INFO - Epoch [65][400/523] lr: 4.447e-02, eta: 15:42:55, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.5991, top5_acc: 0.8766, loss_cls: 5.7917, loss: 5.7917 2025-05-05 20:02:33,642 - pyskl - INFO - Epoch [65][500/523] lr: 4.444e-02, eta: 15:41:57, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.5900, top5_acc: 0.8681, loss_cls: 5.8989, loss: 5.8989 2025-05-05 20:02:43,913 - pyskl - INFO - Saving checkpoint at 65 epochs 2025-05-05 20:03:12,452 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:03:12,521 - pyskl - INFO - top1_acc 0.2933 top5_acc 0.5286 2025-05-05 20:03:12,521 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:03:12,530 - pyskl - INFO - mean_acc 0.2927 2025-05-05 20:03:12,590 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_57.pth was removed 2025-05-05 20:03:14,140 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. 2025-05-05 20:03:14,142 - pyskl - INFO - Best top1_acc is 0.2933 at 65 epoch. 2025-05-05 20:03:14,145 - pyskl - INFO - Epoch(val) [65][198] top1_acc: 0.2933, top5_acc: 0.5286, mean_class_accuracy: 0.2927 2025-05-05 20:04:25,299 - pyskl - INFO - Epoch [66][100/523] lr: 4.440e-02, eta: 15:41:53, time: 0.711, data_time: 0.268, memory: 7964, top1_acc: 0.6366, top5_acc: 0.8984, loss_cls: 5.5050, loss: 5.5050 2025-05-05 20:05:08,709 - pyskl - INFO - Epoch [66][200/523] lr: 4.437e-02, eta: 15:40:58, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.5975, top5_acc: 0.8794, loss_cls: 5.8642, loss: 5.8642 2025-05-05 20:05:51,136 - pyskl - INFO - Epoch [66][300/523] lr: 4.433e-02, eta: 15:39:59, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.5938, top5_acc: 0.8722, loss_cls: 5.7602, loss: 5.7602 2025-05-05 20:06:33,935 - pyskl - INFO - Epoch [66][400/523] lr: 4.430e-02, eta: 15:39:02, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.5891, top5_acc: 0.8812, loss_cls: 5.7940, loss: 5.7940 2025-05-05 20:07:16,773 - pyskl - INFO - Epoch [66][500/523] lr: 4.427e-02, eta: 15:38:04, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.5966, top5_acc: 0.8769, loss_cls: 5.8799, loss: 5.8799 2025-05-05 20:07:27,089 - pyskl - INFO - Saving checkpoint at 66 epochs 2025-05-05 20:07:55,867 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:07:55,936 - pyskl - INFO - top1_acc 0.2928 top5_acc 0.5372 2025-05-05 20:07:55,936 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:07:55,944 - pyskl - INFO - mean_acc 0.2918 2025-05-05 20:07:55,946 - pyskl - INFO - Epoch(val) [66][198] top1_acc: 0.2928, top5_acc: 0.5372, mean_class_accuracy: 0.2918 2025-05-05 20:09:05,630 - pyskl - INFO - Epoch [67][100/523] lr: 4.423e-02, eta: 15:37:54, time: 0.697, data_time: 0.260, memory: 7964, top1_acc: 0.6109, top5_acc: 0.8856, loss_cls: 5.6397, loss: 5.6397 2025-05-05 20:09:49,232 - pyskl - INFO - Epoch [67][200/523] lr: 4.420e-02, eta: 15:37:00, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6159, top5_acc: 0.8750, loss_cls: 5.8148, loss: 5.8148 2025-05-05 20:10:32,971 - pyskl - INFO - Epoch [67][300/523] lr: 4.417e-02, eta: 15:36:06, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6144, top5_acc: 0.8906, loss_cls: 5.6488, loss: 5.6488 2025-05-05 20:11:15,888 - pyskl - INFO - Epoch [67][400/523] lr: 4.413e-02, eta: 15:35:09, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6019, top5_acc: 0.8725, loss_cls: 5.8190, loss: 5.8190 2025-05-05 20:11:58,810 - pyskl - INFO - Epoch [67][500/523] lr: 4.410e-02, eta: 15:34:12, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.5878, top5_acc: 0.8656, loss_cls: 5.9018, loss: 5.9018 2025-05-05 20:12:09,077 - pyskl - INFO - Saving checkpoint at 67 epochs 2025-05-05 20:12:38,101 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:12:38,169 - pyskl - INFO - top1_acc 0.2638 top5_acc 0.4836 2025-05-05 20:12:38,169 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:12:38,177 - pyskl - INFO - mean_acc 0.2641 2025-05-05 20:12:38,178 - pyskl - INFO - Epoch(val) [67][198] top1_acc: 0.2638, top5_acc: 0.4836, mean_class_accuracy: 0.2641 2025-05-05 20:13:47,130 - pyskl - INFO - Epoch [68][100/523] lr: 4.406e-02, eta: 15:33:59, time: 0.689, data_time: 0.264, memory: 7964, top1_acc: 0.6253, top5_acc: 0.8916, loss_cls: 5.5587, loss: 5.5587 2025-05-05 20:14:30,259 - pyskl - INFO - Epoch [68][200/523] lr: 4.403e-02, eta: 15:33:03, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6031, top5_acc: 0.8756, loss_cls: 5.7365, loss: 5.7365 2025-05-05 20:15:12,881 - pyskl - INFO - Epoch [68][300/523] lr: 4.400e-02, eta: 15:32:05, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.5887, top5_acc: 0.8766, loss_cls: 5.8577, loss: 5.8577 2025-05-05 20:15:56,266 - pyskl - INFO - Epoch [68][400/523] lr: 4.397e-02, eta: 15:31:10, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.5938, top5_acc: 0.8900, loss_cls: 5.8075, loss: 5.8075 2025-05-05 20:16:39,913 - pyskl - INFO - Epoch [68][500/523] lr: 4.393e-02, eta: 15:30:16, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5934, top5_acc: 0.8706, loss_cls: 5.8026, loss: 5.8026 2025-05-05 20:16:50,192 - pyskl - INFO - Saving checkpoint at 68 epochs 2025-05-05 20:17:18,760 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:17:18,830 - pyskl - INFO - top1_acc 0.3001 top5_acc 0.5293 2025-05-05 20:17:18,830 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:17:18,838 - pyskl - INFO - mean_acc 0.2985 2025-05-05 20:17:18,898 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_65.pth was removed 2025-05-05 20:17:20,459 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_68.pth. 2025-05-05 20:17:20,461 - pyskl - INFO - Best top1_acc is 0.3001 at 68 epoch. 2025-05-05 20:17:20,463 - pyskl - INFO - Epoch(val) [68][198] top1_acc: 0.3001, top5_acc: 0.5293, mean_class_accuracy: 0.2985 2025-05-05 20:18:29,452 - pyskl - INFO - Epoch [69][100/523] lr: 4.389e-02, eta: 15:30:01, time: 0.690, data_time: 0.261, memory: 7964, top1_acc: 0.6431, top5_acc: 0.8938, loss_cls: 5.5296, loss: 5.5296 2025-05-05 20:19:12,334 - pyskl - INFO - Epoch [69][200/523] lr: 4.386e-02, eta: 15:29:05, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6000, top5_acc: 0.8762, loss_cls: 5.7798, loss: 5.7798 2025-05-05 20:19:54,977 - pyskl - INFO - Epoch [69][300/523] lr: 4.383e-02, eta: 15:28:07, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6022, top5_acc: 0.8809, loss_cls: 5.7291, loss: 5.7291 2025-05-05 20:20:38,353 - pyskl - INFO - Epoch [69][400/523] lr: 4.379e-02, eta: 15:27:12, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6125, top5_acc: 0.8797, loss_cls: 5.8006, loss: 5.8006 2025-05-05 20:21:21,439 - pyskl - INFO - Epoch [69][500/523] lr: 4.376e-02, eta: 15:26:17, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.5988, top5_acc: 0.8838, loss_cls: 5.8488, loss: 5.8488 2025-05-05 20:21:31,787 - pyskl - INFO - Saving checkpoint at 69 epochs 2025-05-05 20:22:00,019 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:22:00,087 - pyskl - INFO - top1_acc 0.2892 top5_acc 0.5174 2025-05-05 20:22:00,088 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:22:00,096 - pyskl - INFO - mean_acc 0.2882 2025-05-05 20:22:00,098 - pyskl - INFO - Epoch(val) [69][198] top1_acc: 0.2892, top5_acc: 0.5174, mean_class_accuracy: 0.2882 2025-05-05 20:23:09,904 - pyskl - INFO - Epoch [70][100/523] lr: 4.372e-02, eta: 15:26:04, time: 0.698, data_time: 0.270, memory: 7964, top1_acc: 0.6291, top5_acc: 0.9012, loss_cls: 5.5929, loss: 5.5929 2025-05-05 20:23:51,415 - pyskl - INFO - Epoch [70][200/523] lr: 4.369e-02, eta: 15:25:03, time: 0.415, data_time: 0.000, memory: 7964, top1_acc: 0.6212, top5_acc: 0.8819, loss_cls: 5.6276, loss: 5.6276 2025-05-05 20:24:33,020 - pyskl - INFO - Epoch [70][300/523] lr: 4.365e-02, eta: 15:24:03, time: 0.416, data_time: 0.000, memory: 7964, top1_acc: 0.6184, top5_acc: 0.8906, loss_cls: 5.7315, loss: 5.7315 2025-05-05 20:25:15,371 - pyskl - INFO - Epoch [70][400/523] lr: 4.362e-02, eta: 15:23:04, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.5969, top5_acc: 0.8694, loss_cls: 5.9025, loss: 5.9025 2025-05-05 20:25:58,926 - pyskl - INFO - Epoch [70][500/523] lr: 4.359e-02, eta: 15:22:10, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6022, top5_acc: 0.8809, loss_cls: 5.7862, loss: 5.7862 2025-05-05 20:26:09,332 - pyskl - INFO - Saving checkpoint at 70 epochs 2025-05-05 20:26:37,830 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:26:37,900 - pyskl - INFO - top1_acc 0.2786 top5_acc 0.5044 2025-05-05 20:26:37,901 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:26:37,909 - pyskl - INFO - mean_acc 0.2770 2025-05-05 20:26:37,911 - pyskl - INFO - Epoch(val) [70][198] top1_acc: 0.2786, top5_acc: 0.5044, mean_class_accuracy: 0.2770 2025-05-05 20:27:47,461 - pyskl - INFO - Epoch [71][100/523] lr: 4.355e-02, eta: 15:21:56, time: 0.695, data_time: 0.264, memory: 7964, top1_acc: 0.6297, top5_acc: 0.8919, loss_cls: 5.6673, loss: 5.6673 2025-05-05 20:28:30,581 - pyskl - INFO - Epoch [71][200/523] lr: 4.351e-02, eta: 15:21:01, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6125, top5_acc: 0.8900, loss_cls: 5.6588, loss: 5.6588 2025-05-05 20:29:14,075 - pyskl - INFO - Epoch [71][300/523] lr: 4.348e-02, eta: 15:20:07, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.5931, top5_acc: 0.8775, loss_cls: 5.8011, loss: 5.8011 2025-05-05 20:29:56,744 - pyskl - INFO - Epoch [71][400/523] lr: 4.344e-02, eta: 15:19:10, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6125, top5_acc: 0.8803, loss_cls: 5.7146, loss: 5.7146 2025-05-05 20:30:39,336 - pyskl - INFO - Epoch [71][500/523] lr: 4.341e-02, eta: 15:18:13, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6012, top5_acc: 0.8778, loss_cls: 5.8149, loss: 5.8149 2025-05-05 20:30:49,895 - pyskl - INFO - Saving checkpoint at 71 epochs 2025-05-05 20:31:18,272 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:31:18,347 - pyskl - INFO - top1_acc 0.2928 top5_acc 0.5332 2025-05-05 20:31:18,348 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:31:18,356 - pyskl - INFO - mean_acc 0.2914 2025-05-05 20:31:18,358 - pyskl - INFO - Epoch(val) [71][198] top1_acc: 0.2928, top5_acc: 0.5332, mean_class_accuracy: 0.2914 2025-05-05 20:32:28,759 - pyskl - INFO - Epoch [72][100/523] lr: 4.337e-02, eta: 15:18:01, time: 0.704, data_time: 0.264, memory: 7964, top1_acc: 0.6412, top5_acc: 0.8969, loss_cls: 5.5698, loss: 5.5698 2025-05-05 20:33:12,038 - pyskl - INFO - Epoch [72][200/523] lr: 4.333e-02, eta: 15:17:06, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6253, top5_acc: 0.8950, loss_cls: 5.5006, loss: 5.5006 2025-05-05 20:33:55,368 - pyskl - INFO - Epoch [72][300/523] lr: 4.330e-02, eta: 15:16:11, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6228, top5_acc: 0.8772, loss_cls: 5.6754, loss: 5.6754 2025-05-05 20:34:38,952 - pyskl - INFO - Epoch [72][400/523] lr: 4.327e-02, eta: 15:15:17, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6044, top5_acc: 0.8803, loss_cls: 5.7684, loss: 5.7684 2025-05-05 20:35:22,327 - pyskl - INFO - Epoch [72][500/523] lr: 4.323e-02, eta: 15:14:23, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.5969, top5_acc: 0.8781, loss_cls: 5.6987, loss: 5.6987 2025-05-05 20:35:32,885 - pyskl - INFO - Saving checkpoint at 72 epochs 2025-05-05 20:36:01,672 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:36:01,745 - pyskl - INFO - top1_acc 0.2936 top5_acc 0.5367 2025-05-05 20:36:01,745 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:36:01,752 - pyskl - INFO - mean_acc 0.2935 2025-05-05 20:36:01,754 - pyskl - INFO - Epoch(val) [72][198] top1_acc: 0.2936, top5_acc: 0.5367, mean_class_accuracy: 0.2935 2025-05-05 20:37:11,730 - pyskl - INFO - Epoch [73][100/523] lr: 4.319e-02, eta: 15:14:09, time: 0.700, data_time: 0.270, memory: 7964, top1_acc: 0.6153, top5_acc: 0.8825, loss_cls: 5.6157, loss: 5.6157 2025-05-05 20:37:54,963 - pyskl - INFO - Epoch [73][200/523] lr: 4.316e-02, eta: 15:13:14, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6319, top5_acc: 0.8944, loss_cls: 5.5605, loss: 5.5605 2025-05-05 20:38:37,892 - pyskl - INFO - Epoch [73][300/523] lr: 4.312e-02, eta: 15:12:18, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6134, top5_acc: 0.8897, loss_cls: 5.7329, loss: 5.7329 2025-05-05 20:39:20,708 - pyskl - INFO - Epoch [73][400/523] lr: 4.309e-02, eta: 15:11:22, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6025, top5_acc: 0.8769, loss_cls: 5.7495, loss: 5.7495 2025-05-05 20:40:03,828 - pyskl - INFO - Epoch [73][500/523] lr: 4.305e-02, eta: 15:10:27, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6259, top5_acc: 0.8925, loss_cls: 5.6069, loss: 5.6069 2025-05-05 20:40:14,266 - pyskl - INFO - Saving checkpoint at 73 epochs 2025-05-05 20:40:42,987 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:40:43,058 - pyskl - INFO - top1_acc 0.2642 top5_acc 0.4991 2025-05-05 20:40:43,058 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:40:43,066 - pyskl - INFO - mean_acc 0.2639 2025-05-05 20:40:43,068 - pyskl - INFO - Epoch(val) [73][198] top1_acc: 0.2642, top5_acc: 0.4991, mean_class_accuracy: 0.2639 2025-05-05 20:41:52,936 - pyskl - INFO - Epoch [74][100/523] lr: 4.301e-02, eta: 15:10:12, time: 0.699, data_time: 0.263, memory: 7964, top1_acc: 0.6359, top5_acc: 0.9059, loss_cls: 5.5381, loss: 5.5381 2025-05-05 20:42:36,594 - pyskl - INFO - Epoch [74][200/523] lr: 4.297e-02, eta: 15:09:18, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6231, top5_acc: 0.8909, loss_cls: 5.5964, loss: 5.5964 2025-05-05 20:43:19,340 - pyskl - INFO - Epoch [74][300/523] lr: 4.294e-02, eta: 15:08:22, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6009, top5_acc: 0.8841, loss_cls: 5.7451, loss: 5.7451 2025-05-05 20:44:03,012 - pyskl - INFO - Epoch [74][400/523] lr: 4.291e-02, eta: 15:07:29, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6112, top5_acc: 0.8756, loss_cls: 5.7550, loss: 5.7550 2025-05-05 20:44:46,080 - pyskl - INFO - Epoch [74][500/523] lr: 4.287e-02, eta: 15:06:34, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6084, top5_acc: 0.8769, loss_cls: 5.7890, loss: 5.7890 2025-05-05 20:44:56,601 - pyskl - INFO - Saving checkpoint at 74 epochs 2025-05-05 20:45:25,449 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:45:25,528 - pyskl - INFO - top1_acc 0.3046 top5_acc 0.5427 2025-05-05 20:45:25,529 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:45:25,537 - pyskl - INFO - mean_acc 0.3035 2025-05-05 20:45:25,595 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_68.pth was removed 2025-05-05 20:45:27,260 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_74.pth. 2025-05-05 20:45:27,263 - pyskl - INFO - Best top1_acc is 0.3046 at 74 epoch. 2025-05-05 20:45:27,265 - pyskl - INFO - Epoch(val) [74][198] top1_acc: 0.3046, top5_acc: 0.5427, mean_class_accuracy: 0.3035 2025-05-05 20:46:37,194 - pyskl - INFO - Epoch [75][100/523] lr: 4.283e-02, eta: 15:06:18, time: 0.699, data_time: 0.263, memory: 7964, top1_acc: 0.6403, top5_acc: 0.9016, loss_cls: 5.5344, loss: 5.5344 2025-05-05 20:47:20,723 - pyskl - INFO - Epoch [75][200/523] lr: 4.279e-02, eta: 15:05:24, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6262, top5_acc: 0.8941, loss_cls: 5.6678, loss: 5.6678 2025-05-05 20:48:03,355 - pyskl - INFO - Epoch [75][300/523] lr: 4.276e-02, eta: 15:04:28, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6075, top5_acc: 0.8791, loss_cls: 5.6968, loss: 5.6968 2025-05-05 20:48:45,973 - pyskl - INFO - Epoch [75][400/523] lr: 4.272e-02, eta: 15:03:31, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6194, top5_acc: 0.8844, loss_cls: 5.6379, loss: 5.6379 2025-05-05 20:49:28,685 - pyskl - INFO - Epoch [75][500/523] lr: 4.269e-02, eta: 15:02:36, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6062, top5_acc: 0.8900, loss_cls: 5.7804, loss: 5.7804 2025-05-05 20:49:39,101 - pyskl - INFO - Saving checkpoint at 75 epochs 2025-05-05 20:50:07,571 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:50:07,641 - pyskl - INFO - top1_acc 0.3032 top5_acc 0.5096 2025-05-05 20:50:07,641 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:50:07,649 - pyskl - INFO - mean_acc 0.3023 2025-05-05 20:50:07,650 - pyskl - INFO - Epoch(val) [75][198] top1_acc: 0.3032, top5_acc: 0.5096, mean_class_accuracy: 0.3023 2025-05-05 20:51:18,035 - pyskl - INFO - Epoch [76][100/523] lr: 4.264e-02, eta: 15:02:20, time: 0.704, data_time: 0.272, memory: 7964, top1_acc: 0.6250, top5_acc: 0.8903, loss_cls: 5.6637, loss: 5.6637 2025-05-05 20:52:01,678 - pyskl - INFO - Epoch [76][200/523] lr: 4.261e-02, eta: 15:01:27, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6334, top5_acc: 0.8956, loss_cls: 5.5433, loss: 5.5433 2025-05-05 20:52:45,170 - pyskl - INFO - Epoch [76][300/523] lr: 4.257e-02, eta: 15:00:33, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6278, top5_acc: 0.8944, loss_cls: 5.5330, loss: 5.5330 2025-05-05 20:53:28,507 - pyskl - INFO - Epoch [76][400/523] lr: 4.254e-02, eta: 14:59:39, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6172, top5_acc: 0.8881, loss_cls: 5.6602, loss: 5.6602 2025-05-05 20:54:11,776 - pyskl - INFO - Epoch [76][500/523] lr: 4.250e-02, eta: 14:58:45, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6122, top5_acc: 0.8750, loss_cls: 5.7815, loss: 5.7815 2025-05-05 20:54:22,475 - pyskl - INFO - Saving checkpoint at 76 epochs 2025-05-05 20:54:51,639 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:54:51,709 - pyskl - INFO - top1_acc 0.2928 top5_acc 0.5462 2025-05-05 20:54:51,709 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:54:51,717 - pyskl - INFO - mean_acc 0.2938 2025-05-05 20:54:51,719 - pyskl - INFO - Epoch(val) [76][198] top1_acc: 0.2928, top5_acc: 0.5462, mean_class_accuracy: 0.2938 2025-05-05 20:56:00,832 - pyskl - INFO - Epoch [77][100/523] lr: 4.246e-02, eta: 14:58:25, time: 0.691, data_time: 0.269, memory: 7964, top1_acc: 0.6397, top5_acc: 0.8950, loss_cls: 5.5431, loss: 5.5431 2025-05-05 20:56:42,864 - pyskl - INFO - Epoch [77][200/523] lr: 4.242e-02, eta: 14:57:27, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.6312, top5_acc: 0.8947, loss_cls: 5.5740, loss: 5.5740 2025-05-05 20:57:25,127 - pyskl - INFO - Epoch [77][300/523] lr: 4.238e-02, eta: 14:56:30, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.6172, top5_acc: 0.8881, loss_cls: 5.6900, loss: 5.6900 2025-05-05 20:58:07,754 - pyskl - INFO - Epoch [77][400/523] lr: 4.235e-02, eta: 14:55:34, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6181, top5_acc: 0.8878, loss_cls: 5.6566, loss: 5.6566 2025-05-05 20:58:50,525 - pyskl - INFO - Epoch [77][500/523] lr: 4.231e-02, eta: 14:54:39, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6147, top5_acc: 0.8841, loss_cls: 5.7005, loss: 5.7005 2025-05-05 20:59:01,298 - pyskl - INFO - Saving checkpoint at 77 epochs 2025-05-05 20:59:30,265 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 20:59:30,336 - pyskl - INFO - top1_acc 0.3005 top5_acc 0.5267 2025-05-05 20:59:30,337 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 20:59:30,345 - pyskl - INFO - mean_acc 0.2988 2025-05-05 20:59:30,347 - pyskl - INFO - Epoch(val) [77][198] top1_acc: 0.3005, top5_acc: 0.5267, mean_class_accuracy: 0.2988 2025-05-05 21:00:40,678 - pyskl - INFO - Epoch [78][100/523] lr: 4.227e-02, eta: 14:54:22, time: 0.703, data_time: 0.272, memory: 7964, top1_acc: 0.6403, top5_acc: 0.8997, loss_cls: 5.4464, loss: 5.4464 2025-05-05 21:01:23,245 - pyskl - INFO - Epoch [78][200/523] lr: 4.223e-02, eta: 14:53:26, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6316, top5_acc: 0.8947, loss_cls: 5.6166, loss: 5.6166 2025-05-05 21:02:06,277 - pyskl - INFO - Epoch [78][300/523] lr: 4.220e-02, eta: 14:52:31, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6162, top5_acc: 0.8947, loss_cls: 5.6812, loss: 5.6812 2025-05-05 21:02:49,687 - pyskl - INFO - Epoch [78][400/523] lr: 4.216e-02, eta: 14:51:38, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6416, top5_acc: 0.8903, loss_cls: 5.6167, loss: 5.6167 2025-05-05 21:03:32,564 - pyskl - INFO - Epoch [78][500/523] lr: 4.212e-02, eta: 14:50:43, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6194, top5_acc: 0.8819, loss_cls: 5.6509, loss: 5.6509 2025-05-05 21:03:43,435 - pyskl - INFO - Saving checkpoint at 78 epochs 2025-05-05 21:04:13,362 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:04:13,436 - pyskl - INFO - top1_acc 0.2914 top5_acc 0.5275 2025-05-05 21:04:13,436 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:04:13,452 - pyskl - INFO - mean_acc 0.2904 2025-05-05 21:04:13,455 - pyskl - INFO - Epoch(val) [78][198] top1_acc: 0.2914, top5_acc: 0.5275, mean_class_accuracy: 0.2904 2025-05-05 21:05:22,688 - pyskl - INFO - Epoch [79][100/523] lr: 4.208e-02, eta: 14:50:22, time: 0.692, data_time: 0.270, memory: 7964, top1_acc: 0.6509, top5_acc: 0.9097, loss_cls: 5.5116, loss: 5.5116 2025-05-05 21:06:04,364 - pyskl - INFO - Epoch [79][200/523] lr: 4.204e-02, eta: 14:49:23, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.6372, top5_acc: 0.8978, loss_cls: 5.4717, loss: 5.4717 2025-05-05 21:06:46,656 - pyskl - INFO - Epoch [79][300/523] lr: 4.200e-02, eta: 14:48:27, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.6322, top5_acc: 0.8794, loss_cls: 5.6447, loss: 5.6447 2025-05-05 21:07:30,302 - pyskl - INFO - Epoch [79][400/523] lr: 4.197e-02, eta: 14:47:34, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6228, top5_acc: 0.8938, loss_cls: 5.6601, loss: 5.6601 2025-05-05 21:08:13,108 - pyskl - INFO - Epoch [79][500/523] lr: 4.193e-02, eta: 14:46:39, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6200, top5_acc: 0.8838, loss_cls: 5.7165, loss: 5.7165 2025-05-05 21:08:23,666 - pyskl - INFO - Saving checkpoint at 79 epochs 2025-05-05 21:08:52,187 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:08:52,256 - pyskl - INFO - top1_acc 0.2814 top5_acc 0.4985 2025-05-05 21:08:52,256 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:08:52,263 - pyskl - INFO - mean_acc 0.2813 2025-05-05 21:08:52,265 - pyskl - INFO - Epoch(val) [79][198] top1_acc: 0.2814, top5_acc: 0.4985, mean_class_accuracy: 0.2813 2025-05-05 21:10:00,521 - pyskl - INFO - Epoch [80][100/523] lr: 4.189e-02, eta: 14:46:15, time: 0.683, data_time: 0.260, memory: 7964, top1_acc: 0.6506, top5_acc: 0.9084, loss_cls: 5.3924, loss: 5.3924 2025-05-05 21:10:43,234 - pyskl - INFO - Epoch [80][200/523] lr: 4.185e-02, eta: 14:45:20, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6297, top5_acc: 0.8953, loss_cls: 5.5849, loss: 5.5849 2025-05-05 21:11:26,111 - pyskl - INFO - Epoch [80][300/523] lr: 4.181e-02, eta: 14:44:25, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6275, top5_acc: 0.8928, loss_cls: 5.6332, loss: 5.6332 2025-05-05 21:12:09,104 - pyskl - INFO - Epoch [80][400/523] lr: 4.177e-02, eta: 14:43:30, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6347, top5_acc: 0.8962, loss_cls: 5.6210, loss: 5.6210 2025-05-05 21:12:52,132 - pyskl - INFO - Epoch [80][500/523] lr: 4.174e-02, eta: 14:42:36, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6238, top5_acc: 0.8891, loss_cls: 5.5766, loss: 5.5766 2025-05-05 21:13:02,887 - pyskl - INFO - Saving checkpoint at 80 epochs 2025-05-05 21:13:31,212 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:13:31,279 - pyskl - INFO - top1_acc 0.3001 top5_acc 0.5386 2025-05-05 21:13:31,279 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:13:31,286 - pyskl - INFO - mean_acc 0.2983 2025-05-05 21:13:31,287 - pyskl - INFO - Epoch(val) [80][198] top1_acc: 0.3001, top5_acc: 0.5386, mean_class_accuracy: 0.2983 2025-05-05 21:14:39,596 - pyskl - INFO - Epoch [81][100/523] lr: 4.169e-02, eta: 14:42:12, time: 0.683, data_time: 0.264, memory: 7964, top1_acc: 0.6525, top5_acc: 0.9044, loss_cls: 5.4050, loss: 5.4050 2025-05-05 21:15:22,246 - pyskl - INFO - Epoch [81][200/523] lr: 4.165e-02, eta: 14:41:16, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6391, top5_acc: 0.8972, loss_cls: 5.5366, loss: 5.5366 2025-05-05 21:16:05,283 - pyskl - INFO - Epoch [81][300/523] lr: 4.162e-02, eta: 14:40:22, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6397, top5_acc: 0.8931, loss_cls: 5.6313, loss: 5.6313 2025-05-05 21:16:48,104 - pyskl - INFO - Epoch [81][400/523] lr: 4.158e-02, eta: 14:39:27, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6269, top5_acc: 0.8928, loss_cls: 5.4871, loss: 5.4871 2025-05-05 21:17:31,174 - pyskl - INFO - Epoch [81][500/523] lr: 4.154e-02, eta: 14:38:33, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6078, top5_acc: 0.8838, loss_cls: 5.7533, loss: 5.7533 2025-05-05 21:17:41,830 - pyskl - INFO - Saving checkpoint at 81 epochs 2025-05-05 21:18:10,353 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:18:10,422 - pyskl - INFO - top1_acc 0.2897 top5_acc 0.5248 2025-05-05 21:18:10,422 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:18:10,431 - pyskl - INFO - mean_acc 0.2882 2025-05-05 21:18:10,433 - pyskl - INFO - Epoch(val) [81][198] top1_acc: 0.2897, top5_acc: 0.5248, mean_class_accuracy: 0.2882 2025-05-05 21:19:19,839 - pyskl - INFO - Epoch [82][100/523] lr: 4.150e-02, eta: 14:38:11, time: 0.694, data_time: 0.272, memory: 7964, top1_acc: 0.6678, top5_acc: 0.9009, loss_cls: 5.3487, loss: 5.3487 2025-05-05 21:20:02,607 - pyskl - INFO - Epoch [82][200/523] lr: 4.146e-02, eta: 14:37:16, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6462, top5_acc: 0.9066, loss_cls: 5.5932, loss: 5.5932 2025-05-05 21:20:46,071 - pyskl - INFO - Epoch [82][300/523] lr: 4.142e-02, eta: 14:36:23, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6266, top5_acc: 0.8997, loss_cls: 5.5328, loss: 5.5328 2025-05-05 21:21:29,360 - pyskl - INFO - Epoch [82][400/523] lr: 4.138e-02, eta: 14:35:30, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6162, top5_acc: 0.8888, loss_cls: 5.6716, loss: 5.6716 2025-05-05 21:22:11,891 - pyskl - INFO - Epoch [82][500/523] lr: 4.134e-02, eta: 14:34:35, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.6269, top5_acc: 0.8841, loss_cls: 5.6012, loss: 5.6012 2025-05-05 21:22:22,495 - pyskl - INFO - Saving checkpoint at 82 epochs 2025-05-05 21:22:51,113 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:22:51,182 - pyskl - INFO - top1_acc 0.3001 top5_acc 0.5121 2025-05-05 21:22:51,182 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:22:51,190 - pyskl - INFO - mean_acc 0.3008 2025-05-05 21:22:51,191 - pyskl - INFO - Epoch(val) [82][198] top1_acc: 0.3001, top5_acc: 0.5121, mean_class_accuracy: 0.3008 2025-05-05 21:23:59,769 - pyskl - INFO - Epoch [83][100/523] lr: 4.130e-02, eta: 14:34:10, time: 0.686, data_time: 0.265, memory: 7964, top1_acc: 0.6625, top5_acc: 0.9103, loss_cls: 5.3203, loss: 5.3203 2025-05-05 21:24:41,846 - pyskl - INFO - Epoch [83][200/523] lr: 4.126e-02, eta: 14:33:13, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.6425, top5_acc: 0.9000, loss_cls: 5.5090, loss: 5.5090 2025-05-05 21:25:25,211 - pyskl - INFO - Epoch [83][300/523] lr: 4.122e-02, eta: 14:32:20, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6447, top5_acc: 0.8947, loss_cls: 5.5639, loss: 5.5639 2025-05-05 21:26:08,928 - pyskl - INFO - Epoch [83][400/523] lr: 4.118e-02, eta: 14:31:28, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6334, top5_acc: 0.8894, loss_cls: 5.5180, loss: 5.5180 2025-05-05 21:26:52,268 - pyskl - INFO - Epoch [83][500/523] lr: 4.115e-02, eta: 14:30:35, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6200, top5_acc: 0.8831, loss_cls: 5.5984, loss: 5.5984 2025-05-05 21:27:02,910 - pyskl - INFO - Saving checkpoint at 83 epochs 2025-05-05 21:27:31,465 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:27:31,537 - pyskl - INFO - top1_acc 0.2854 top5_acc 0.5199 2025-05-05 21:27:31,537 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:27:31,545 - pyskl - INFO - mean_acc 0.2863 2025-05-05 21:27:31,546 - pyskl - INFO - Epoch(val) [83][198] top1_acc: 0.2854, top5_acc: 0.5199, mean_class_accuracy: 0.2863 2025-05-05 21:28:40,249 - pyskl - INFO - Epoch [84][100/523] lr: 4.110e-02, eta: 14:30:10, time: 0.687, data_time: 0.265, memory: 7964, top1_acc: 0.6600, top5_acc: 0.9019, loss_cls: 5.2791, loss: 5.2791 2025-05-05 21:29:23,025 - pyskl - INFO - Epoch [84][200/523] lr: 4.106e-02, eta: 14:29:16, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6397, top5_acc: 0.9012, loss_cls: 5.5039, loss: 5.5039 2025-05-05 21:30:06,230 - pyskl - INFO - Epoch [84][300/523] lr: 4.102e-02, eta: 14:28:22, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6466, top5_acc: 0.9053, loss_cls: 5.4170, loss: 5.4170 2025-05-05 21:30:49,013 - pyskl - INFO - Epoch [84][400/523] lr: 4.098e-02, eta: 14:27:28, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6228, top5_acc: 0.8969, loss_cls: 5.5807, loss: 5.5807 2025-05-05 21:31:32,115 - pyskl - INFO - Epoch [84][500/523] lr: 4.094e-02, eta: 14:26:34, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6312, top5_acc: 0.8922, loss_cls: 5.5830, loss: 5.5830 2025-05-05 21:31:42,698 - pyskl - INFO - Saving checkpoint at 84 epochs 2025-05-05 21:32:11,453 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:32:11,522 - pyskl - INFO - top1_acc 0.2746 top5_acc 0.5174 2025-05-05 21:32:11,522 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:32:11,529 - pyskl - INFO - mean_acc 0.2746 2025-05-05 21:32:11,531 - pyskl - INFO - Epoch(val) [84][198] top1_acc: 0.2746, top5_acc: 0.5174, mean_class_accuracy: 0.2746 2025-05-05 21:33:20,906 - pyskl - INFO - Epoch [85][100/523] lr: 4.090e-02, eta: 14:26:10, time: 0.694, data_time: 0.265, memory: 7964, top1_acc: 0.6531, top5_acc: 0.9031, loss_cls: 5.4976, loss: 5.4976 2025-05-05 21:34:04,559 - pyskl - INFO - Epoch [85][200/523] lr: 4.086e-02, eta: 14:25:18, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6422, top5_acc: 0.9009, loss_cls: 5.5217, loss: 5.5217 2025-05-05 21:34:47,522 - pyskl - INFO - Epoch [85][300/523] lr: 4.082e-02, eta: 14:24:24, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6328, top5_acc: 0.8912, loss_cls: 5.5791, loss: 5.5791 2025-05-05 21:35:30,461 - pyskl - INFO - Epoch [85][400/523] lr: 4.078e-02, eta: 14:23:30, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6338, top5_acc: 0.8997, loss_cls: 5.5923, loss: 5.5923 2025-05-05 21:36:13,588 - pyskl - INFO - Epoch [85][500/523] lr: 4.074e-02, eta: 14:22:37, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6347, top5_acc: 0.8891, loss_cls: 5.5041, loss: 5.5041 2025-05-05 21:36:24,185 - pyskl - INFO - Saving checkpoint at 85 epochs 2025-05-05 21:36:52,913 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:36:52,981 - pyskl - INFO - top1_acc 0.2989 top5_acc 0.5313 2025-05-05 21:36:52,981 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:36:52,989 - pyskl - INFO - mean_acc 0.2982 2025-05-05 21:36:52,990 - pyskl - INFO - Epoch(val) [85][198] top1_acc: 0.2989, top5_acc: 0.5313, mean_class_accuracy: 0.2982 2025-05-05 21:38:02,182 - pyskl - INFO - Epoch [86][100/523] lr: 4.069e-02, eta: 14:22:12, time: 0.692, data_time: 0.264, memory: 7964, top1_acc: 0.6509, top5_acc: 0.9103, loss_cls: 5.3984, loss: 5.3984 2025-05-05 21:38:45,264 - pyskl - INFO - Epoch [86][200/523] lr: 4.066e-02, eta: 14:21:19, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6584, top5_acc: 0.9081, loss_cls: 5.4387, loss: 5.4387 2025-05-05 21:39:28,492 - pyskl - INFO - Epoch [86][300/523] lr: 4.062e-02, eta: 14:20:26, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6450, top5_acc: 0.8969, loss_cls: 5.5276, loss: 5.5276 2025-05-05 21:40:11,003 - pyskl - INFO - Epoch [86][400/523] lr: 4.058e-02, eta: 14:19:31, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.6181, top5_acc: 0.8850, loss_cls: 5.6105, loss: 5.6105 2025-05-05 21:40:53,935 - pyskl - INFO - Epoch [86][500/523] lr: 4.054e-02, eta: 14:18:37, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6434, top5_acc: 0.8941, loss_cls: 5.6312, loss: 5.6312 2025-05-05 21:41:04,670 - pyskl - INFO - Saving checkpoint at 86 epochs 2025-05-05 21:41:33,308 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:41:33,377 - pyskl - INFO - top1_acc 0.3074 top5_acc 0.5419 2025-05-05 21:41:33,378 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:41:33,385 - pyskl - INFO - mean_acc 0.3094 2025-05-05 21:41:33,443 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_74.pth was removed 2025-05-05 21:41:35,465 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. 2025-05-05 21:41:35,468 - pyskl - INFO - Best top1_acc is 0.3074 at 86 epoch. 2025-05-05 21:41:35,472 - pyskl - INFO - Epoch(val) [86][198] top1_acc: 0.3074, top5_acc: 0.5419, mean_class_accuracy: 0.3094 2025-05-05 21:42:46,335 - pyskl - INFO - Epoch [87][100/523] lr: 4.049e-02, eta: 14:18:16, time: 0.709, data_time: 0.285, memory: 7964, top1_acc: 0.6784, top5_acc: 0.9234, loss_cls: 5.2914, loss: 5.2914 2025-05-05 21:43:29,059 - pyskl - INFO - Epoch [87][200/523] lr: 4.045e-02, eta: 14:17:21, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6522, top5_acc: 0.9069, loss_cls: 5.4613, loss: 5.4613 2025-05-05 21:44:11,885 - pyskl - INFO - Epoch [87][300/523] lr: 4.041e-02, eta: 14:16:27, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6416, top5_acc: 0.8969, loss_cls: 5.5210, loss: 5.5210 2025-05-05 21:44:54,840 - pyskl - INFO - Epoch [87][400/523] lr: 4.037e-02, eta: 14:15:34, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6278, top5_acc: 0.8872, loss_cls: 5.6911, loss: 5.6911 2025-05-05 21:45:37,936 - pyskl - INFO - Epoch [87][500/523] lr: 4.033e-02, eta: 14:14:41, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6375, top5_acc: 0.8956, loss_cls: 5.4997, loss: 5.4997 2025-05-05 21:45:48,646 - pyskl - INFO - Saving checkpoint at 87 epochs 2025-05-05 21:46:17,338 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:46:17,408 - pyskl - INFO - top1_acc 0.3143 top5_acc 0.5502 2025-05-05 21:46:17,408 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:46:17,416 - pyskl - INFO - mean_acc 0.3147 2025-05-05 21:46:17,482 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_86.pth was removed 2025-05-05 21:46:19,169 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. 2025-05-05 21:46:19,171 - pyskl - INFO - Best top1_acc is 0.3143 at 87 epoch. 2025-05-05 21:46:19,174 - pyskl - INFO - Epoch(val) [87][198] top1_acc: 0.3143, top5_acc: 0.5502, mean_class_accuracy: 0.3147 2025-05-05 21:47:27,157 - pyskl - INFO - Epoch [88][100/523] lr: 4.028e-02, eta: 14:14:12, time: 0.680, data_time: 0.261, memory: 7964, top1_acc: 0.6813, top5_acc: 0.9200, loss_cls: 5.3297, loss: 5.3297 2025-05-05 21:48:10,691 - pyskl - INFO - Epoch [88][200/523] lr: 4.024e-02, eta: 14:13:20, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6428, top5_acc: 0.9094, loss_cls: 5.4927, loss: 5.4927 2025-05-05 21:48:54,616 - pyskl - INFO - Epoch [88][300/523] lr: 4.020e-02, eta: 14:12:28, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6419, top5_acc: 0.8981, loss_cls: 5.5238, loss: 5.5238 2025-05-05 21:49:37,872 - pyskl - INFO - Epoch [88][400/523] lr: 4.016e-02, eta: 14:11:36, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6447, top5_acc: 0.8962, loss_cls: 5.4962, loss: 5.4962 2025-05-05 21:50:21,025 - pyskl - INFO - Epoch [88][500/523] lr: 4.012e-02, eta: 14:10:43, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6309, top5_acc: 0.8912, loss_cls: 5.6659, loss: 5.6659 2025-05-05 21:50:31,810 - pyskl - INFO - Saving checkpoint at 88 epochs 2025-05-05 21:51:00,409 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:51:00,477 - pyskl - INFO - top1_acc 0.2783 top5_acc 0.4804 2025-05-05 21:51:00,478 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:51:00,485 - pyskl - INFO - mean_acc 0.2786 2025-05-05 21:51:00,486 - pyskl - INFO - Epoch(val) [88][198] top1_acc: 0.2783, top5_acc: 0.4804, mean_class_accuracy: 0.2786 2025-05-05 21:52:08,662 - pyskl - INFO - Epoch [89][100/523] lr: 4.008e-02, eta: 14:10:14, time: 0.682, data_time: 0.259, memory: 7964, top1_acc: 0.6613, top5_acc: 0.9137, loss_cls: 5.3273, loss: 5.3273 2025-05-05 21:52:50,681 - pyskl - INFO - Epoch [89][200/523] lr: 4.004e-02, eta: 14:09:18, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.6491, top5_acc: 0.9091, loss_cls: 5.4312, loss: 5.4312 2025-05-05 21:53:33,310 - pyskl - INFO - Epoch [89][300/523] lr: 4.000e-02, eta: 14:08:24, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6469, top5_acc: 0.8966, loss_cls: 5.5195, loss: 5.5195 2025-05-05 21:54:16,108 - pyskl - INFO - Epoch [89][400/523] lr: 3.996e-02, eta: 14:07:30, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6412, top5_acc: 0.9031, loss_cls: 5.4867, loss: 5.4867 2025-05-05 21:54:59,650 - pyskl - INFO - Epoch [89][500/523] lr: 3.992e-02, eta: 14:06:38, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6250, top5_acc: 0.8878, loss_cls: 5.6331, loss: 5.6331 2025-05-05 21:55:10,459 - pyskl - INFO - Saving checkpoint at 89 epochs 2025-05-05 21:55:38,970 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 21:55:39,039 - pyskl - INFO - top1_acc 0.3114 top5_acc 0.5312 2025-05-05 21:55:39,040 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 21:55:39,047 - pyskl - INFO - mean_acc 0.3113 2025-05-05 21:55:39,049 - pyskl - INFO - Epoch(val) [89][198] top1_acc: 0.3114, top5_acc: 0.5312, mean_class_accuracy: 0.3113 2025-05-05 21:56:47,915 - pyskl - INFO - Epoch [90][100/523] lr: 3.987e-02, eta: 14:06:11, time: 0.689, data_time: 0.265, memory: 7964, top1_acc: 0.6597, top5_acc: 0.9081, loss_cls: 5.4139, loss: 5.4139 2025-05-05 21:57:30,306 - pyskl - INFO - Epoch [90][200/523] lr: 3.983e-02, eta: 14:05:16, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.6628, top5_acc: 0.9097, loss_cls: 5.4046, loss: 5.4046 2025-05-05 21:58:13,344 - pyskl - INFO - Epoch [90][300/523] lr: 3.979e-02, eta: 14:04:23, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6556, top5_acc: 0.9056, loss_cls: 5.3354, loss: 5.3354 2025-05-05 21:58:56,065 - pyskl - INFO - Epoch [90][400/523] lr: 3.974e-02, eta: 14:03:29, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6359, top5_acc: 0.9009, loss_cls: 5.4153, loss: 5.4153 2025-05-05 21:59:39,583 - pyskl - INFO - Epoch [90][500/523] lr: 3.970e-02, eta: 14:02:37, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6294, top5_acc: 0.8909, loss_cls: 5.6452, loss: 5.6452 2025-05-05 21:59:50,072 - pyskl - INFO - Saving checkpoint at 90 epochs 2025-05-05 22:00:18,760 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:00:18,829 - pyskl - INFO - top1_acc 0.3117 top5_acc 0.5377 2025-05-05 22:00:18,830 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:00:18,837 - pyskl - INFO - mean_acc 0.3111 2025-05-05 22:00:18,838 - pyskl - INFO - Epoch(val) [90][198] top1_acc: 0.3117, top5_acc: 0.5377, mean_class_accuracy: 0.3111 2025-05-05 22:01:27,071 - pyskl - INFO - Epoch [91][100/523] lr: 3.965e-02, eta: 14:02:07, time: 0.682, data_time: 0.262, memory: 7964, top1_acc: 0.6684, top5_acc: 0.9203, loss_cls: 5.1331, loss: 5.1331 2025-05-05 22:02:10,086 - pyskl - INFO - Epoch [91][200/523] lr: 3.961e-02, eta: 14:01:14, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6691, top5_acc: 0.9084, loss_cls: 5.4397, loss: 5.4397 2025-05-05 22:02:53,271 - pyskl - INFO - Epoch [91][300/523] lr: 3.957e-02, eta: 14:00:22, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6544, top5_acc: 0.8994, loss_cls: 5.3574, loss: 5.3574 2025-05-05 22:03:36,174 - pyskl - INFO - Epoch [91][400/523] lr: 3.953e-02, eta: 13:59:28, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6281, top5_acc: 0.8997, loss_cls: 5.3865, loss: 5.3865 2025-05-05 22:04:19,269 - pyskl - INFO - Epoch [91][500/523] lr: 3.949e-02, eta: 13:58:36, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6388, top5_acc: 0.8988, loss_cls: 5.4883, loss: 5.4883 2025-05-05 22:04:29,890 - pyskl - INFO - Saving checkpoint at 91 epochs 2025-05-05 22:04:58,204 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:04:58,273 - pyskl - INFO - top1_acc 0.2863 top5_acc 0.5193 2025-05-05 22:04:58,273 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:04:58,280 - pyskl - INFO - mean_acc 0.2858 2025-05-05 22:04:58,281 - pyskl - INFO - Epoch(val) [91][198] top1_acc: 0.2863, top5_acc: 0.5193, mean_class_accuracy: 0.2858 2025-05-05 22:06:06,480 - pyskl - INFO - Epoch [92][100/523] lr: 3.944e-02, eta: 13:58:06, time: 0.682, data_time: 0.261, memory: 7964, top1_acc: 0.6847, top5_acc: 0.9081, loss_cls: 5.3700, loss: 5.3700 2025-05-05 22:06:48,709 - pyskl - INFO - Epoch [92][200/523] lr: 3.940e-02, eta: 13:57:11, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6541, top5_acc: 0.9106, loss_cls: 5.4011, loss: 5.4011 2025-05-05 22:07:32,282 - pyskl - INFO - Epoch [92][300/523] lr: 3.936e-02, eta: 13:56:19, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6634, top5_acc: 0.8981, loss_cls: 5.3219, loss: 5.3219 2025-05-05 22:08:15,928 - pyskl - INFO - Epoch [92][400/523] lr: 3.932e-02, eta: 13:55:28, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6541, top5_acc: 0.9034, loss_cls: 5.5087, loss: 5.5087 2025-05-05 22:08:59,531 - pyskl - INFO - Epoch [92][500/523] lr: 3.928e-02, eta: 13:54:36, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6259, top5_acc: 0.8950, loss_cls: 5.5722, loss: 5.5722 2025-05-05 22:09:10,007 - pyskl - INFO - Saving checkpoint at 92 epochs 2025-05-05 22:09:38,500 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:09:38,568 - pyskl - INFO - top1_acc 0.2818 top5_acc 0.5025 2025-05-05 22:09:38,568 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:09:38,575 - pyskl - INFO - mean_acc 0.2823 2025-05-05 22:09:38,577 - pyskl - INFO - Epoch(val) [92][198] top1_acc: 0.2818, top5_acc: 0.5025, mean_class_accuracy: 0.2823 2025-05-05 22:10:47,132 - pyskl - INFO - Epoch [93][100/523] lr: 3.923e-02, eta: 13:54:07, time: 0.685, data_time: 0.265, memory: 7964, top1_acc: 0.6787, top5_acc: 0.9206, loss_cls: 5.2151, loss: 5.2151 2025-05-05 22:11:29,635 - pyskl - INFO - Epoch [93][200/523] lr: 3.919e-02, eta: 13:53:13, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.6637, top5_acc: 0.9116, loss_cls: 5.3572, loss: 5.3572 2025-05-05 22:12:13,076 - pyskl - INFO - Epoch [93][300/523] lr: 3.914e-02, eta: 13:52:21, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6525, top5_acc: 0.8938, loss_cls: 5.4838, loss: 5.4838 2025-05-05 22:12:56,467 - pyskl - INFO - Epoch [93][400/523] lr: 3.910e-02, eta: 13:51:29, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6269, top5_acc: 0.8928, loss_cls: 5.5256, loss: 5.5256 2025-05-05 22:13:39,998 - pyskl - INFO - Epoch [93][500/523] lr: 3.906e-02, eta: 13:50:37, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6388, top5_acc: 0.8981, loss_cls: 5.4721, loss: 5.4721 2025-05-05 22:13:50,459 - pyskl - INFO - Saving checkpoint at 93 epochs 2025-05-05 22:14:19,058 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:14:19,126 - pyskl - INFO - top1_acc 0.3030 top5_acc 0.5383 2025-05-05 22:14:19,127 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:14:19,134 - pyskl - INFO - mean_acc 0.3042 2025-05-05 22:14:19,135 - pyskl - INFO - Epoch(val) [93][198] top1_acc: 0.3030, top5_acc: 0.5383, mean_class_accuracy: 0.3042 2025-05-05 22:15:27,059 - pyskl - INFO - Epoch [94][100/523] lr: 3.901e-02, eta: 13:50:06, time: 0.679, data_time: 0.258, memory: 7964, top1_acc: 0.6884, top5_acc: 0.9125, loss_cls: 5.2392, loss: 5.2392 2025-05-05 22:16:09,562 - pyskl - INFO - Epoch [94][200/523] lr: 3.897e-02, eta: 13:49:12, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.6737, top5_acc: 0.9116, loss_cls: 5.2862, loss: 5.2862 2025-05-05 22:16:52,267 - pyskl - INFO - Epoch [94][300/523] lr: 3.893e-02, eta: 13:48:18, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6512, top5_acc: 0.8953, loss_cls: 5.4187, loss: 5.4187 2025-05-05 22:17:34,768 - pyskl - INFO - Epoch [94][400/523] lr: 3.889e-02, eta: 13:47:25, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.6434, top5_acc: 0.9022, loss_cls: 5.4515, loss: 5.4515 2025-05-05 22:18:17,685 - pyskl - INFO - Epoch [94][500/523] lr: 3.884e-02, eta: 13:46:32, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6503, top5_acc: 0.8934, loss_cls: 5.5253, loss: 5.5253 2025-05-05 22:18:28,112 - pyskl - INFO - Saving checkpoint at 94 epochs 2025-05-05 22:18:56,655 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:18:56,723 - pyskl - INFO - top1_acc 0.2865 top5_acc 0.4996 2025-05-05 22:18:56,724 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:18:56,732 - pyskl - INFO - mean_acc 0.2855 2025-05-05 22:18:56,734 - pyskl - INFO - Epoch(val) [94][198] top1_acc: 0.2865, top5_acc: 0.4996, mean_class_accuracy: 0.2855 2025-05-05 22:20:05,007 - pyskl - INFO - Epoch [95][100/523] lr: 3.879e-02, eta: 13:46:01, time: 0.683, data_time: 0.262, memory: 7964, top1_acc: 0.6813, top5_acc: 0.9197, loss_cls: 5.0586, loss: 5.0586 2025-05-05 22:20:46,838 - pyskl - INFO - Epoch [95][200/523] lr: 3.875e-02, eta: 13:45:05, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.6663, top5_acc: 0.9178, loss_cls: 5.2245, loss: 5.2245 2025-05-05 22:21:29,004 - pyskl - INFO - Epoch [95][300/523] lr: 3.871e-02, eta: 13:44:11, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6519, top5_acc: 0.9044, loss_cls: 5.4589, loss: 5.4589 2025-05-05 22:22:12,619 - pyskl - INFO - Epoch [95][400/523] lr: 3.867e-02, eta: 13:43:20, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6534, top5_acc: 0.9019, loss_cls: 5.4455, loss: 5.4455 2025-05-05 22:22:55,796 - pyskl - INFO - Epoch [95][500/523] lr: 3.863e-02, eta: 13:42:27, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6191, top5_acc: 0.8953, loss_cls: 5.6654, loss: 5.6654 2025-05-05 22:23:06,460 - pyskl - INFO - Saving checkpoint at 95 epochs 2025-05-05 22:23:34,783 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:23:34,851 - pyskl - INFO - top1_acc 0.3117 top5_acc 0.5245 2025-05-05 22:23:34,852 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:23:34,859 - pyskl - INFO - mean_acc 0.3112 2025-05-05 22:23:34,860 - pyskl - INFO - Epoch(val) [95][198] top1_acc: 0.3117, top5_acc: 0.5245, mean_class_accuracy: 0.3112 2025-05-05 22:24:43,093 - pyskl - INFO - Epoch [96][100/523] lr: 3.857e-02, eta: 13:41:56, time: 0.682, data_time: 0.261, memory: 7964, top1_acc: 0.6697, top5_acc: 0.9113, loss_cls: 5.2494, loss: 5.2494 2025-05-05 22:25:25,798 - pyskl - INFO - Epoch [96][200/523] lr: 3.853e-02, eta: 13:41:03, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6581, top5_acc: 0.9053, loss_cls: 5.3976, loss: 5.3976 2025-05-05 22:26:08,892 - pyskl - INFO - Epoch [96][300/523] lr: 3.849e-02, eta: 13:40:10, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6731, top5_acc: 0.9131, loss_cls: 5.2723, loss: 5.2723 2025-05-05 22:26:51,812 - pyskl - INFO - Epoch [96][400/523] lr: 3.845e-02, eta: 13:39:18, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6541, top5_acc: 0.9134, loss_cls: 5.3798, loss: 5.3798 2025-05-05 22:27:35,560 - pyskl - INFO - Epoch [96][500/523] lr: 3.841e-02, eta: 13:38:27, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6494, top5_acc: 0.8956, loss_cls: 5.4231, loss: 5.4231 2025-05-05 22:27:46,367 - pyskl - INFO - Saving checkpoint at 96 epochs 2025-05-05 22:28:15,147 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:28:15,215 - pyskl - INFO - top1_acc 0.2713 top5_acc 0.4988 2025-05-05 22:28:15,216 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:28:15,223 - pyskl - INFO - mean_acc 0.2745 2025-05-05 22:28:15,224 - pyskl - INFO - Epoch(val) [96][198] top1_acc: 0.2713, top5_acc: 0.4988, mean_class_accuracy: 0.2745 2025-05-05 22:29:23,688 - pyskl - INFO - Epoch [97][100/523] lr: 3.835e-02, eta: 13:37:55, time: 0.685, data_time: 0.265, memory: 7964, top1_acc: 0.6959, top5_acc: 0.9259, loss_cls: 5.1646, loss: 5.1646 2025-05-05 22:30:05,599 - pyskl - INFO - Epoch [97][200/523] lr: 3.831e-02, eta: 13:37:01, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.6556, top5_acc: 0.9075, loss_cls: 5.2970, loss: 5.2970 2025-05-05 22:30:47,933 - pyskl - INFO - Epoch [97][300/523] lr: 3.827e-02, eta: 13:36:07, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.6713, top5_acc: 0.9125, loss_cls: 5.2468, loss: 5.2468 2025-05-05 22:31:30,003 - pyskl - INFO - Epoch [97][400/523] lr: 3.823e-02, eta: 13:35:12, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.6625, top5_acc: 0.9025, loss_cls: 5.4303, loss: 5.4303 2025-05-05 22:32:11,967 - pyskl - INFO - Epoch [97][500/523] lr: 3.818e-02, eta: 13:34:18, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.6472, top5_acc: 0.9028, loss_cls: 5.4738, loss: 5.4738 2025-05-05 22:32:22,683 - pyskl - INFO - Saving checkpoint at 97 epochs 2025-05-05 22:32:51,249 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:32:51,319 - pyskl - INFO - top1_acc 0.2957 top5_acc 0.5242 2025-05-05 22:32:51,319 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:32:51,327 - pyskl - INFO - mean_acc 0.2945 2025-05-05 22:32:51,329 - pyskl - INFO - Epoch(val) [97][198] top1_acc: 0.2957, top5_acc: 0.5242, mean_class_accuracy: 0.2945 2025-05-05 22:34:00,316 - pyskl - INFO - Epoch [98][100/523] lr: 3.813e-02, eta: 13:33:47, time: 0.690, data_time: 0.263, memory: 7964, top1_acc: 0.6844, top5_acc: 0.9128, loss_cls: 5.2697, loss: 5.2697 2025-05-05 22:34:42,528 - pyskl - INFO - Epoch [98][200/523] lr: 3.809e-02, eta: 13:32:53, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6725, top5_acc: 0.9097, loss_cls: 5.3686, loss: 5.3686 2025-05-05 22:35:24,400 - pyskl - INFO - Epoch [98][300/523] lr: 3.805e-02, eta: 13:31:59, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.6634, top5_acc: 0.9131, loss_cls: 5.2992, loss: 5.2992 2025-05-05 22:36:06,461 - pyskl - INFO - Epoch [98][400/523] lr: 3.800e-02, eta: 13:31:04, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.6628, top5_acc: 0.9150, loss_cls: 5.2983, loss: 5.2983 2025-05-05 22:36:48,571 - pyskl - INFO - Epoch [98][500/523] lr: 3.796e-02, eta: 13:30:10, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.6600, top5_acc: 0.9016, loss_cls: 5.4433, loss: 5.4433 2025-05-05 22:36:59,184 - pyskl - INFO - Saving checkpoint at 98 epochs 2025-05-05 22:37:27,661 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:37:27,734 - pyskl - INFO - top1_acc 0.3032 top5_acc 0.5377 2025-05-05 22:37:27,734 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:37:27,741 - pyskl - INFO - mean_acc 0.3041 2025-05-05 22:37:27,743 - pyskl - INFO - Epoch(val) [98][198] top1_acc: 0.3032, top5_acc: 0.5377, mean_class_accuracy: 0.3041 2025-05-05 22:38:36,684 - pyskl - INFO - Epoch [99][100/523] lr: 3.791e-02, eta: 13:29:39, time: 0.689, data_time: 0.264, memory: 7964, top1_acc: 0.6825, top5_acc: 0.9256, loss_cls: 5.2117, loss: 5.2117 2025-05-05 22:39:18,864 - pyskl - INFO - Epoch [99][200/523] lr: 3.787e-02, eta: 13:28:45, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6697, top5_acc: 0.9175, loss_cls: 5.2388, loss: 5.2388 2025-05-05 22:40:02,353 - pyskl - INFO - Epoch [99][300/523] lr: 3.782e-02, eta: 13:27:54, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6619, top5_acc: 0.9184, loss_cls: 5.3472, loss: 5.3472 2025-05-05 22:40:45,297 - pyskl - INFO - Epoch [99][400/523] lr: 3.778e-02, eta: 13:27:02, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6594, top5_acc: 0.9097, loss_cls: 5.3788, loss: 5.3788 2025-05-05 22:41:29,227 - pyskl - INFO - Epoch [99][500/523] lr: 3.774e-02, eta: 13:26:11, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6519, top5_acc: 0.9075, loss_cls: 5.4132, loss: 5.4132 2025-05-05 22:41:39,966 - pyskl - INFO - Saving checkpoint at 99 epochs 2025-05-05 22:42:08,564 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:42:08,633 - pyskl - INFO - top1_acc 0.3131 top5_acc 0.5510 2025-05-05 22:42:08,634 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:42:08,641 - pyskl - INFO - mean_acc 0.3114 2025-05-05 22:42:08,642 - pyskl - INFO - Epoch(val) [99][198] top1_acc: 0.3131, top5_acc: 0.5510, mean_class_accuracy: 0.3114 2025-05-05 22:43:16,315 - pyskl - INFO - Epoch [100][100/523] lr: 3.768e-02, eta: 13:25:37, time: 0.677, data_time: 0.257, memory: 7964, top1_acc: 0.6934, top5_acc: 0.9181, loss_cls: 5.2021, loss: 5.2021 2025-05-05 22:43:58,477 - pyskl - INFO - Epoch [100][200/523] lr: 3.764e-02, eta: 13:24:43, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6703, top5_acc: 0.9197, loss_cls: 5.3100, loss: 5.3100 2025-05-05 22:44:42,171 - pyskl - INFO - Epoch [100][300/523] lr: 3.760e-02, eta: 13:23:53, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6766, top5_acc: 0.9156, loss_cls: 5.3490, loss: 5.3490 2025-05-05 22:45:25,735 - pyskl - INFO - Epoch [100][400/523] lr: 3.755e-02, eta: 13:23:02, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6506, top5_acc: 0.9075, loss_cls: 5.3840, loss: 5.3840 2025-05-05 22:46:09,139 - pyskl - INFO - Epoch [100][500/523] lr: 3.751e-02, eta: 13:22:11, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6628, top5_acc: 0.9003, loss_cls: 5.3253, loss: 5.3253 2025-05-05 22:46:19,809 - pyskl - INFO - Saving checkpoint at 100 epochs 2025-05-05 22:46:48,268 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:46:48,337 - pyskl - INFO - top1_acc 0.2913 top5_acc 0.4993 2025-05-05 22:46:48,337 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:46:48,344 - pyskl - INFO - mean_acc 0.2899 2025-05-05 22:46:48,346 - pyskl - INFO - Epoch(val) [100][198] top1_acc: 0.2913, top5_acc: 0.4993, mean_class_accuracy: 0.2899 2025-05-05 22:47:57,473 - pyskl - INFO - Epoch [101][100/523] lr: 3.746e-02, eta: 13:21:39, time: 0.691, data_time: 0.258, memory: 7964, top1_acc: 0.6856, top5_acc: 0.9266, loss_cls: 5.2485, loss: 5.2485 2025-05-05 22:48:39,504 - pyskl - INFO - Epoch [101][200/523] lr: 3.741e-02, eta: 13:20:45, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.6847, top5_acc: 0.9203, loss_cls: 5.2274, loss: 5.2274 2025-05-05 22:49:21,601 - pyskl - INFO - Epoch [101][300/523] lr: 3.737e-02, eta: 13:19:51, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.6675, top5_acc: 0.9059, loss_cls: 5.2998, loss: 5.2998 2025-05-05 22:50:04,864 - pyskl - INFO - Epoch [101][400/523] lr: 3.733e-02, eta: 13:19:00, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6475, top5_acc: 0.9116, loss_cls: 5.4055, loss: 5.4055 2025-05-05 22:50:48,050 - pyskl - INFO - Epoch [101][500/523] lr: 3.728e-02, eta: 13:18:08, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6637, top5_acc: 0.9075, loss_cls: 5.3299, loss: 5.3299 2025-05-05 22:50:58,798 - pyskl - INFO - Saving checkpoint at 101 epochs 2025-05-05 22:51:27,156 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:51:27,225 - pyskl - INFO - top1_acc 0.3217 top5_acc 0.5554 2025-05-05 22:51:27,226 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:51:27,233 - pyskl - INFO - mean_acc 0.3220 2025-05-05 22:51:27,293 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_87.pth was removed 2025-05-05 22:51:28,856 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. 2025-05-05 22:51:28,858 - pyskl - INFO - Best top1_acc is 0.3217 at 101 epoch. 2025-05-05 22:51:28,861 - pyskl - INFO - Epoch(val) [101][198] top1_acc: 0.3217, top5_acc: 0.5554, mean_class_accuracy: 0.3220 2025-05-05 22:52:37,842 - pyskl - INFO - Epoch [102][100/523] lr: 3.723e-02, eta: 13:17:36, time: 0.690, data_time: 0.256, memory: 7964, top1_acc: 0.6953, top5_acc: 0.9300, loss_cls: 5.1182, loss: 5.1182 2025-05-05 22:53:20,217 - pyskl - INFO - Epoch [102][200/523] lr: 3.719e-02, eta: 13:16:43, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.6731, top5_acc: 0.9206, loss_cls: 5.2634, loss: 5.2634 2025-05-05 22:54:03,705 - pyskl - INFO - Epoch [102][300/523] lr: 3.714e-02, eta: 13:15:52, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6578, top5_acc: 0.9016, loss_cls: 5.3848, loss: 5.3848 2025-05-05 22:54:47,153 - pyskl - INFO - Epoch [102][400/523] lr: 3.710e-02, eta: 13:15:01, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6687, top5_acc: 0.9187, loss_cls: 5.3068, loss: 5.3068 2025-05-05 22:55:31,044 - pyskl - INFO - Epoch [102][500/523] lr: 3.705e-02, eta: 13:14:11, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6462, top5_acc: 0.9134, loss_cls: 5.3649, loss: 5.3649 2025-05-05 22:55:41,820 - pyskl - INFO - Saving checkpoint at 102 epochs 2025-05-05 22:56:10,084 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 22:56:10,152 - pyskl - INFO - top1_acc 0.3051 top5_acc 0.5410 2025-05-05 22:56:10,152 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 22:56:10,159 - pyskl - INFO - mean_acc 0.3039 2025-05-05 22:56:10,160 - pyskl - INFO - Epoch(val) [102][198] top1_acc: 0.3051, top5_acc: 0.5410, mean_class_accuracy: 0.3039 2025-05-05 22:57:19,379 - pyskl - INFO - Epoch [103][100/523] lr: 3.700e-02, eta: 13:13:39, time: 0.692, data_time: 0.257, memory: 7964, top1_acc: 0.7022, top5_acc: 0.9266, loss_cls: 5.1200, loss: 5.1200 2025-05-05 22:58:01,341 - pyskl - INFO - Epoch [103][200/523] lr: 3.696e-02, eta: 13:12:45, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.6706, top5_acc: 0.9241, loss_cls: 5.2947, loss: 5.2947 2025-05-05 22:58:44,250 - pyskl - INFO - Epoch [103][300/523] lr: 3.691e-02, eta: 13:11:53, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6681, top5_acc: 0.9094, loss_cls: 5.3787, loss: 5.3787 2025-05-05 22:59:27,177 - pyskl - INFO - Epoch [103][400/523] lr: 3.687e-02, eta: 13:11:01, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6816, top5_acc: 0.9153, loss_cls: 5.2722, loss: 5.2722 2025-05-05 23:00:10,185 - pyskl - INFO - Epoch [103][500/523] lr: 3.682e-02, eta: 13:10:09, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6653, top5_acc: 0.9091, loss_cls: 5.3242, loss: 5.3242 2025-05-05 23:00:20,747 - pyskl - INFO - Saving checkpoint at 103 epochs 2025-05-05 23:00:49,337 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:00:49,409 - pyskl - INFO - top1_acc 0.3198 top5_acc 0.5305 2025-05-05 23:00:49,409 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:00:49,416 - pyskl - INFO - mean_acc 0.3177 2025-05-05 23:00:49,418 - pyskl - INFO - Epoch(val) [103][198] top1_acc: 0.3198, top5_acc: 0.5305, mean_class_accuracy: 0.3177 2025-05-05 23:01:57,814 - pyskl - INFO - Epoch [104][100/523] lr: 3.677e-02, eta: 13:09:35, time: 0.684, data_time: 0.263, memory: 7964, top1_acc: 0.6987, top5_acc: 0.9206, loss_cls: 5.1260, loss: 5.1260 2025-05-05 23:02:39,786 - pyskl - INFO - Epoch [104][200/523] lr: 3.673e-02, eta: 13:08:41, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.6731, top5_acc: 0.9259, loss_cls: 5.3375, loss: 5.3375 2025-05-05 23:03:22,411 - pyskl - INFO - Epoch [104][300/523] lr: 3.668e-02, eta: 13:07:49, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6753, top5_acc: 0.9166, loss_cls: 5.2530, loss: 5.2530 2025-05-05 23:04:05,048 - pyskl - INFO - Epoch [104][400/523] lr: 3.664e-02, eta: 13:06:56, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6650, top5_acc: 0.9125, loss_cls: 5.2932, loss: 5.2932 2025-05-05 23:04:48,005 - pyskl - INFO - Epoch [104][500/523] lr: 3.659e-02, eta: 13:06:05, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6784, top5_acc: 0.9169, loss_cls: 5.3426, loss: 5.3426 2025-05-05 23:04:58,753 - pyskl - INFO - Saving checkpoint at 104 epochs 2025-05-05 23:05:27,082 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:05:27,151 - pyskl - INFO - top1_acc 0.3043 top5_acc 0.5375 2025-05-05 23:05:27,151 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:05:27,159 - pyskl - INFO - mean_acc 0.3043 2025-05-05 23:05:27,160 - pyskl - INFO - Epoch(val) [104][198] top1_acc: 0.3043, top5_acc: 0.5375, mean_class_accuracy: 0.3043 2025-05-05 23:06:36,623 - pyskl - INFO - Epoch [105][100/523] lr: 3.654e-02, eta: 13:05:32, time: 0.695, data_time: 0.265, memory: 7964, top1_acc: 0.6937, top5_acc: 0.9222, loss_cls: 5.0780, loss: 5.0780 2025-05-05 23:07:18,325 - pyskl - INFO - Epoch [105][200/523] lr: 3.649e-02, eta: 13:04:38, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.6869, top5_acc: 0.9197, loss_cls: 5.1465, loss: 5.1465 2025-05-05 23:07:59,890 - pyskl - INFO - Epoch [105][300/523] lr: 3.645e-02, eta: 13:03:44, time: 0.416, data_time: 0.000, memory: 7964, top1_acc: 0.6834, top5_acc: 0.9225, loss_cls: 5.1531, loss: 5.1531 2025-05-05 23:08:41,807 - pyskl - INFO - Epoch [105][400/523] lr: 3.641e-02, eta: 13:02:50, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.6681, top5_acc: 0.9150, loss_cls: 5.3014, loss: 5.3014 2025-05-05 23:09:25,768 - pyskl - INFO - Epoch [105][500/523] lr: 3.636e-02, eta: 13:02:00, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6650, top5_acc: 0.9119, loss_cls: 5.3265, loss: 5.3265 2025-05-05 23:09:36,500 - pyskl - INFO - Saving checkpoint at 105 epochs 2025-05-05 23:10:05,169 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:10:05,238 - pyskl - INFO - top1_acc 0.2892 top5_acc 0.5112 2025-05-05 23:10:05,239 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:10:05,246 - pyskl - INFO - mean_acc 0.2888 2025-05-05 23:10:05,248 - pyskl - INFO - Epoch(val) [105][198] top1_acc: 0.2892, top5_acc: 0.5112, mean_class_accuracy: 0.2888 2025-05-05 23:11:13,989 - pyskl - INFO - Epoch [106][100/523] lr: 3.631e-02, eta: 13:01:26, time: 0.687, data_time: 0.260, memory: 7964, top1_acc: 0.6825, top5_acc: 0.9216, loss_cls: 5.2774, loss: 5.2774 2025-05-05 23:11:55,892 - pyskl - INFO - Epoch [106][200/523] lr: 3.626e-02, eta: 13:00:33, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.6997, top5_acc: 0.9306, loss_cls: 5.0625, loss: 5.0625 2025-05-05 23:12:37,894 - pyskl - INFO - Epoch [106][300/523] lr: 3.622e-02, eta: 12:59:39, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.6641, top5_acc: 0.9163, loss_cls: 5.2572, loss: 5.2572 2025-05-05 23:13:20,825 - pyskl - INFO - Epoch [106][400/523] lr: 3.617e-02, eta: 12:58:47, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6681, top5_acc: 0.9091, loss_cls: 5.2064, loss: 5.2064 2025-05-05 23:14:03,301 - pyskl - INFO - Epoch [106][500/523] lr: 3.613e-02, eta: 12:57:55, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.6750, top5_acc: 0.9194, loss_cls: 5.2518, loss: 5.2518 2025-05-05 23:14:14,066 - pyskl - INFO - Saving checkpoint at 106 epochs 2025-05-05 23:14:42,653 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:14:42,720 - pyskl - INFO - top1_acc 0.3060 top5_acc 0.5323 2025-05-05 23:14:42,720 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:14:42,727 - pyskl - INFO - mean_acc 0.3052 2025-05-05 23:14:42,728 - pyskl - INFO - Epoch(val) [106][198] top1_acc: 0.3060, top5_acc: 0.5323, mean_class_accuracy: 0.3052 2025-05-05 23:15:52,149 - pyskl - INFO - Epoch [107][100/523] lr: 3.607e-02, eta: 12:57:22, time: 0.694, data_time: 0.258, memory: 7964, top1_acc: 0.6903, top5_acc: 0.9375, loss_cls: 5.1550, loss: 5.1550 2025-05-05 23:16:34,719 - pyskl - INFO - Epoch [107][200/523] lr: 3.603e-02, eta: 12:56:30, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6937, top5_acc: 0.9269, loss_cls: 5.1522, loss: 5.1522 2025-05-05 23:17:16,924 - pyskl - INFO - Epoch [107][300/523] lr: 3.598e-02, eta: 12:55:37, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6734, top5_acc: 0.9209, loss_cls: 5.2396, loss: 5.2396 2025-05-05 23:18:00,440 - pyskl - INFO - Epoch [107][400/523] lr: 3.594e-02, eta: 12:54:46, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6678, top5_acc: 0.9122, loss_cls: 5.3157, loss: 5.3157 2025-05-05 23:18:43,536 - pyskl - INFO - Epoch [107][500/523] lr: 3.589e-02, eta: 12:53:55, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6547, top5_acc: 0.9169, loss_cls: 5.3379, loss: 5.3379 2025-05-05 23:18:53,971 - pyskl - INFO - Saving checkpoint at 107 epochs 2025-05-05 23:19:22,653 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:19:22,725 - pyskl - INFO - top1_acc 0.3136 top5_acc 0.5362 2025-05-05 23:19:22,725 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:19:22,732 - pyskl - INFO - mean_acc 0.3120 2025-05-05 23:19:22,734 - pyskl - INFO - Epoch(val) [107][198] top1_acc: 0.3136, top5_acc: 0.5362, mean_class_accuracy: 0.3120 2025-05-05 23:20:32,858 - pyskl - INFO - Epoch [108][100/523] lr: 3.584e-02, eta: 12:53:23, time: 0.701, data_time: 0.259, memory: 7964, top1_acc: 0.6944, top5_acc: 0.9266, loss_cls: 5.0432, loss: 5.0432 2025-05-05 23:21:15,702 - pyskl - INFO - Epoch [108][200/523] lr: 3.579e-02, eta: 12:52:31, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6963, top5_acc: 0.9297, loss_cls: 5.1196, loss: 5.1196 2025-05-05 23:21:57,760 - pyskl - INFO - Epoch [108][300/523] lr: 3.575e-02, eta: 12:51:38, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.6863, top5_acc: 0.9244, loss_cls: 5.1746, loss: 5.1746 2025-05-05 23:22:40,797 - pyskl - INFO - Epoch [108][400/523] lr: 3.570e-02, eta: 12:50:47, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6769, top5_acc: 0.9256, loss_cls: 5.2620, loss: 5.2620 2025-05-05 23:23:24,051 - pyskl - INFO - Epoch [108][500/523] lr: 3.566e-02, eta: 12:49:56, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6772, top5_acc: 0.9156, loss_cls: 5.2489, loss: 5.2489 2025-05-05 23:23:34,536 - pyskl - INFO - Saving checkpoint at 108 epochs 2025-05-05 23:24:03,199 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:24:03,267 - pyskl - INFO - top1_acc 0.3033 top5_acc 0.5370 2025-05-05 23:24:03,267 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:24:03,275 - pyskl - INFO - mean_acc 0.3045 2025-05-05 23:24:03,276 - pyskl - INFO - Epoch(val) [108][198] top1_acc: 0.3033, top5_acc: 0.5370, mean_class_accuracy: 0.3045 2025-05-05 23:25:12,154 - pyskl - INFO - Epoch [109][100/523] lr: 3.560e-02, eta: 12:49:21, time: 0.689, data_time: 0.258, memory: 7964, top1_acc: 0.6975, top5_acc: 0.9316, loss_cls: 5.0730, loss: 5.0730 2025-05-05 23:25:54,356 - pyskl - INFO - Epoch [109][200/523] lr: 3.555e-02, eta: 12:48:28, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.7019, top5_acc: 0.9275, loss_cls: 5.0057, loss: 5.0057 2025-05-05 23:26:36,222 - pyskl - INFO - Epoch [109][300/523] lr: 3.551e-02, eta: 12:47:35, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.6834, top5_acc: 0.9109, loss_cls: 5.2083, loss: 5.2083 2025-05-05 23:27:18,872 - pyskl - INFO - Epoch [109][400/523] lr: 3.546e-02, eta: 12:46:43, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6697, top5_acc: 0.9109, loss_cls: 5.1701, loss: 5.1701 2025-05-05 23:28:01,757 - pyskl - INFO - Epoch [109][500/523] lr: 3.542e-02, eta: 12:45:52, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6675, top5_acc: 0.9128, loss_cls: 5.2227, loss: 5.2227 2025-05-05 23:28:12,231 - pyskl - INFO - Saving checkpoint at 109 epochs 2025-05-05 23:28:41,002 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:28:41,094 - pyskl - INFO - top1_acc 0.2925 top5_acc 0.5048 2025-05-05 23:28:41,095 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:28:41,105 - pyskl - INFO - mean_acc 0.2911 2025-05-05 23:28:41,107 - pyskl - INFO - Epoch(val) [109][198] top1_acc: 0.2925, top5_acc: 0.5048, mean_class_accuracy: 0.2911 2025-05-05 23:29:50,945 - pyskl - INFO - Epoch [110][100/523] lr: 3.536e-02, eta: 12:45:18, time: 0.698, data_time: 0.259, memory: 7964, top1_acc: 0.7194, top5_acc: 0.9287, loss_cls: 5.0869, loss: 5.0869 2025-05-05 23:30:33,708 - pyskl - INFO - Epoch [110][200/523] lr: 3.532e-02, eta: 12:44:27, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6991, top5_acc: 0.9256, loss_cls: 5.1934, loss: 5.1934 2025-05-05 23:31:15,641 - pyskl - INFO - Epoch [110][300/523] lr: 3.527e-02, eta: 12:43:33, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.6831, top5_acc: 0.9272, loss_cls: 5.1378, loss: 5.1378 2025-05-05 23:31:58,300 - pyskl - INFO - Epoch [110][400/523] lr: 3.523e-02, eta: 12:42:42, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6903, top5_acc: 0.9184, loss_cls: 5.1999, loss: 5.1999 2025-05-05 23:32:41,421 - pyskl - INFO - Epoch [110][500/523] lr: 3.518e-02, eta: 12:41:51, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6566, top5_acc: 0.9184, loss_cls: 5.2941, loss: 5.2941 2025-05-05 23:32:51,781 - pyskl - INFO - Saving checkpoint at 110 epochs 2025-05-05 23:33:20,212 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:33:20,280 - pyskl - INFO - top1_acc 0.3252 top5_acc 0.5580 2025-05-05 23:33:20,280 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:33:20,288 - pyskl - INFO - mean_acc 0.3239 2025-05-05 23:33:20,346 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_101.pth was removed 2025-05-05 23:33:21,876 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. 2025-05-05 23:33:21,877 - pyskl - INFO - Best top1_acc is 0.3252 at 110 epoch. 2025-05-05 23:33:21,880 - pyskl - INFO - Epoch(val) [110][198] top1_acc: 0.3252, top5_acc: 0.5580, mean_class_accuracy: 0.3239 2025-05-05 23:34:30,569 - pyskl - INFO - Epoch [111][100/523] lr: 3.512e-02, eta: 12:41:15, time: 0.687, data_time: 0.255, memory: 7964, top1_acc: 0.7166, top5_acc: 0.9284, loss_cls: 5.0646, loss: 5.0646 2025-05-05 23:35:13,492 - pyskl - INFO - Epoch [111][200/523] lr: 3.508e-02, eta: 12:40:24, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7044, top5_acc: 0.9328, loss_cls: 5.0213, loss: 5.0213 2025-05-05 23:35:55,318 - pyskl - INFO - Epoch [111][300/523] lr: 3.503e-02, eta: 12:39:30, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.6959, top5_acc: 0.9259, loss_cls: 5.0862, loss: 5.0862 2025-05-05 23:36:37,834 - pyskl - INFO - Epoch [111][400/523] lr: 3.499e-02, eta: 12:38:39, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.6778, top5_acc: 0.9200, loss_cls: 5.1994, loss: 5.1994 2025-05-05 23:37:20,117 - pyskl - INFO - Epoch [111][500/523] lr: 3.494e-02, eta: 12:37:46, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.6512, top5_acc: 0.9191, loss_cls: 5.3834, loss: 5.3834 2025-05-05 23:37:30,978 - pyskl - INFO - Saving checkpoint at 111 epochs 2025-05-05 23:37:59,588 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:37:59,657 - pyskl - INFO - top1_acc 0.3092 top5_acc 0.5278 2025-05-05 23:37:59,658 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:37:59,666 - pyskl - INFO - mean_acc 0.3109 2025-05-05 23:37:59,668 - pyskl - INFO - Epoch(val) [111][198] top1_acc: 0.3092, top5_acc: 0.5278, mean_class_accuracy: 0.3109 2025-05-05 23:39:08,590 - pyskl - INFO - Epoch [112][100/523] lr: 3.488e-02, eta: 12:37:11, time: 0.689, data_time: 0.264, memory: 7964, top1_acc: 0.7159, top5_acc: 0.9328, loss_cls: 4.9868, loss: 4.9868 2025-05-05 23:39:50,827 - pyskl - INFO - Epoch [112][200/523] lr: 3.484e-02, eta: 12:36:18, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6953, top5_acc: 0.9266, loss_cls: 5.1337, loss: 5.1337 2025-05-05 23:40:32,925 - pyskl - INFO - Epoch [112][300/523] lr: 3.479e-02, eta: 12:35:26, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.6925, top5_acc: 0.9213, loss_cls: 5.1298, loss: 5.1298 2025-05-05 23:41:16,961 - pyskl - INFO - Epoch [112][400/523] lr: 3.475e-02, eta: 12:34:36, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6713, top5_acc: 0.9206, loss_cls: 5.3239, loss: 5.3239 2025-05-05 23:42:00,832 - pyskl - INFO - Epoch [112][500/523] lr: 3.470e-02, eta: 12:33:47, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6856, top5_acc: 0.9241, loss_cls: 5.2754, loss: 5.2754 2025-05-05 23:42:11,674 - pyskl - INFO - Saving checkpoint at 112 epochs 2025-05-05 23:42:40,452 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:42:40,521 - pyskl - INFO - top1_acc 0.3200 top5_acc 0.5426 2025-05-05 23:42:40,522 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:42:40,530 - pyskl - INFO - mean_acc 0.3189 2025-05-05 23:42:40,532 - pyskl - INFO - Epoch(val) [112][198] top1_acc: 0.3200, top5_acc: 0.5426, mean_class_accuracy: 0.3189 2025-05-05 23:43:49,118 - pyskl - INFO - Epoch [113][100/523] lr: 3.464e-02, eta: 12:33:10, time: 0.686, data_time: 0.263, memory: 7964, top1_acc: 0.7231, top5_acc: 0.9366, loss_cls: 4.9555, loss: 4.9555 2025-05-05 23:44:32,120 - pyskl - INFO - Epoch [113][200/523] lr: 3.460e-02, eta: 12:32:19, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7153, top5_acc: 0.9347, loss_cls: 5.1604, loss: 5.1604 2025-05-05 23:45:13,979 - pyskl - INFO - Epoch [113][300/523] lr: 3.455e-02, eta: 12:31:26, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.6853, top5_acc: 0.9184, loss_cls: 5.1383, loss: 5.1383 2025-05-05 23:45:56,794 - pyskl - INFO - Epoch [113][400/523] lr: 3.450e-02, eta: 12:30:35, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6872, top5_acc: 0.9216, loss_cls: 5.2092, loss: 5.2092 2025-05-05 23:46:40,266 - pyskl - INFO - Epoch [113][500/523] lr: 3.446e-02, eta: 12:29:45, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6828, top5_acc: 0.9263, loss_cls: 5.1280, loss: 5.1280 2025-05-05 23:46:50,657 - pyskl - INFO - Saving checkpoint at 113 epochs 2025-05-05 23:47:19,492 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:47:19,561 - pyskl - INFO - top1_acc 0.3211 top5_acc 0.5532 2025-05-05 23:47:19,561 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:47:19,570 - pyskl - INFO - mean_acc 0.3203 2025-05-05 23:47:19,571 - pyskl - INFO - Epoch(val) [113][198] top1_acc: 0.3211, top5_acc: 0.5532, mean_class_accuracy: 0.3203 2025-05-05 23:48:27,861 - pyskl - INFO - Epoch [114][100/523] lr: 3.440e-02, eta: 12:29:08, time: 0.683, data_time: 0.258, memory: 7964, top1_acc: 0.7316, top5_acc: 0.9384, loss_cls: 4.8742, loss: 4.8742 2025-05-05 23:49:10,821 - pyskl - INFO - Epoch [114][200/523] lr: 3.435e-02, eta: 12:28:17, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7006, top5_acc: 0.9269, loss_cls: 5.1451, loss: 5.1451 2025-05-05 23:49:52,714 - pyskl - INFO - Epoch [114][300/523] lr: 3.431e-02, eta: 12:27:24, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.7013, top5_acc: 0.9309, loss_cls: 5.0999, loss: 5.0999 2025-05-05 23:50:35,334 - pyskl - INFO - Epoch [114][400/523] lr: 3.426e-02, eta: 12:26:32, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6722, top5_acc: 0.9225, loss_cls: 5.1520, loss: 5.1520 2025-05-05 23:51:18,446 - pyskl - INFO - Epoch [114][500/523] lr: 3.421e-02, eta: 12:25:42, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6769, top5_acc: 0.9122, loss_cls: 5.2170, loss: 5.2170 2025-05-05 23:51:28,910 - pyskl - INFO - Saving checkpoint at 114 epochs 2025-05-05 23:51:57,649 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:51:57,722 - pyskl - INFO - top1_acc 0.3157 top5_acc 0.5445 2025-05-05 23:51:57,722 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:51:57,729 - pyskl - INFO - mean_acc 0.3142 2025-05-05 23:51:57,730 - pyskl - INFO - Epoch(val) [114][198] top1_acc: 0.3157, top5_acc: 0.5445, mean_class_accuracy: 0.3142 2025-05-05 23:53:07,071 - pyskl - INFO - Epoch [115][100/523] lr: 3.416e-02, eta: 12:25:06, time: 0.693, data_time: 0.267, memory: 7964, top1_acc: 0.7091, top5_acc: 0.9372, loss_cls: 5.0494, loss: 5.0494 2025-05-05 23:53:50,938 - pyskl - INFO - Epoch [115][200/523] lr: 3.411e-02, eta: 12:24:17, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7131, top5_acc: 0.9341, loss_cls: 5.0560, loss: 5.0560 2025-05-05 23:54:32,691 - pyskl - INFO - Epoch [115][300/523] lr: 3.406e-02, eta: 12:23:24, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.7053, top5_acc: 0.9272, loss_cls: 5.0354, loss: 5.0354 2025-05-05 23:55:16,146 - pyskl - INFO - Epoch [115][400/523] lr: 3.402e-02, eta: 12:22:34, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7094, top5_acc: 0.9281, loss_cls: 5.0775, loss: 5.0775 2025-05-05 23:55:59,099 - pyskl - INFO - Epoch [115][500/523] lr: 3.397e-02, eta: 12:21:43, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6584, top5_acc: 0.9175, loss_cls: 5.1693, loss: 5.1693 2025-05-05 23:56:09,548 - pyskl - INFO - Saving checkpoint at 115 epochs 2025-05-05 23:56:37,955 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-05 23:56:38,023 - pyskl - INFO - top1_acc 0.3317 top5_acc 0.5735 2025-05-05 23:56:38,024 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-05 23:56:38,032 - pyskl - INFO - mean_acc 0.3322 2025-05-05 23:56:38,092 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_110.pth was removed 2025-05-05 23:56:39,623 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. 2025-05-05 23:56:39,625 - pyskl - INFO - Best top1_acc is 0.3317 at 115 epoch. 2025-05-05 23:56:39,627 - pyskl - INFO - Epoch(val) [115][198] top1_acc: 0.3317, top5_acc: 0.5735, mean_class_accuracy: 0.3322 2025-05-05 23:57:48,630 - pyskl - INFO - Epoch [116][100/523] lr: 3.391e-02, eta: 12:21:06, time: 0.690, data_time: 0.252, memory: 7964, top1_acc: 0.7284, top5_acc: 0.9372, loss_cls: 5.0285, loss: 5.0285 2025-05-05 23:58:32,452 - pyskl - INFO - Epoch [116][200/523] lr: 3.387e-02, eta: 12:20:17, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7084, top5_acc: 0.9344, loss_cls: 4.8810, loss: 4.8810 2025-05-05 23:59:14,418 - pyskl - INFO - Epoch [116][300/523] lr: 3.382e-02, eta: 12:19:24, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.6878, top5_acc: 0.9269, loss_cls: 5.1742, loss: 5.1742 2025-05-05 23:59:56,909 - pyskl - INFO - Epoch [116][400/523] lr: 3.377e-02, eta: 12:18:33, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.6947, top5_acc: 0.9303, loss_cls: 5.1284, loss: 5.1284 2025-05-06 00:00:39,974 - pyskl - INFO - Epoch [116][500/523] lr: 3.373e-02, eta: 12:17:42, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6866, top5_acc: 0.9225, loss_cls: 5.1319, loss: 5.1319 2025-05-06 00:00:50,341 - pyskl - INFO - Saving checkpoint at 116 epochs 2025-05-06 00:01:18,580 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:01:18,648 - pyskl - INFO - top1_acc 0.3439 top5_acc 0.5606 2025-05-06 00:01:18,648 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:01:18,655 - pyskl - INFO - mean_acc 0.3437 2025-05-06 00:01:18,717 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_115.pth was removed 2025-05-06 00:01:20,231 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. 2025-05-06 00:01:20,233 - pyskl - INFO - Best top1_acc is 0.3439 at 116 epoch. 2025-05-06 00:01:20,236 - pyskl - INFO - Epoch(val) [116][198] top1_acc: 0.3439, top5_acc: 0.5606, mean_class_accuracy: 0.3437 2025-05-06 00:02:28,333 - pyskl - INFO - Epoch [117][100/523] lr: 3.367e-02, eta: 12:17:04, time: 0.681, data_time: 0.250, memory: 7964, top1_acc: 0.7259, top5_acc: 0.9409, loss_cls: 5.0014, loss: 5.0014 2025-05-06 00:03:11,909 - pyskl - INFO - Epoch [117][200/523] lr: 3.362e-02, eta: 12:16:14, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7181, top5_acc: 0.9350, loss_cls: 4.9712, loss: 4.9712 2025-05-06 00:03:53,961 - pyskl - INFO - Epoch [117][300/523] lr: 3.357e-02, eta: 12:15:22, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.7047, top5_acc: 0.9269, loss_cls: 5.0511, loss: 5.0511 2025-05-06 00:04:35,860 - pyskl - INFO - Epoch [117][400/523] lr: 3.353e-02, eta: 12:14:29, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.6959, top5_acc: 0.9272, loss_cls: 5.0893, loss: 5.0893 2025-05-06 00:05:17,807 - pyskl - INFO - Epoch [117][500/523] lr: 3.348e-02, eta: 12:13:37, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.6894, top5_acc: 0.9250, loss_cls: 5.2184, loss: 5.2184 2025-05-06 00:05:28,102 - pyskl - INFO - Saving checkpoint at 117 epochs 2025-05-06 00:05:56,462 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:05:56,535 - pyskl - INFO - top1_acc 0.3111 top5_acc 0.5293 2025-05-06 00:05:56,536 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:05:56,544 - pyskl - INFO - mean_acc 0.3102 2025-05-06 00:05:56,545 - pyskl - INFO - Epoch(val) [117][198] top1_acc: 0.3111, top5_acc: 0.5293, mean_class_accuracy: 0.3102 2025-05-06 00:07:07,208 - pyskl - INFO - Epoch [118][100/523] lr: 3.342e-02, eta: 12:13:02, time: 0.707, data_time: 0.267, memory: 7964, top1_acc: 0.7253, top5_acc: 0.9406, loss_cls: 4.9281, loss: 4.9281 2025-05-06 00:07:50,729 - pyskl - INFO - Epoch [118][200/523] lr: 3.337e-02, eta: 12:12:12, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7137, top5_acc: 0.9284, loss_cls: 5.0252, loss: 5.0252 2025-05-06 00:08:32,531 - pyskl - INFO - Epoch [118][300/523] lr: 3.333e-02, eta: 12:11:20, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.6981, top5_acc: 0.9331, loss_cls: 5.0875, loss: 5.0875 2025-05-06 00:09:14,583 - pyskl - INFO - Epoch [118][400/523] lr: 3.328e-02, eta: 12:10:28, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.6941, top5_acc: 0.9303, loss_cls: 5.0962, loss: 5.0962 2025-05-06 00:09:56,802 - pyskl - INFO - Epoch [118][500/523] lr: 3.323e-02, eta: 12:09:36, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6922, top5_acc: 0.9281, loss_cls: 5.1125, loss: 5.1125 2025-05-06 00:10:07,164 - pyskl - INFO - Saving checkpoint at 118 epochs 2025-05-06 00:10:35,741 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:10:35,810 - pyskl - INFO - top1_acc 0.3017 top5_acc 0.5096 2025-05-06 00:10:35,810 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:10:35,818 - pyskl - INFO - mean_acc 0.2997 2025-05-06 00:10:35,819 - pyskl - INFO - Epoch(val) [118][198] top1_acc: 0.3017, top5_acc: 0.5096, mean_class_accuracy: 0.2997 2025-05-06 00:11:45,085 - pyskl - INFO - Epoch [119][100/523] lr: 3.317e-02, eta: 12:08:59, time: 0.693, data_time: 0.259, memory: 7964, top1_acc: 0.7303, top5_acc: 0.9428, loss_cls: 4.8749, loss: 4.8749 2025-05-06 00:12:27,101 - pyskl - INFO - Epoch [119][200/523] lr: 3.313e-02, eta: 12:08:07, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7103, top5_acc: 0.9363, loss_cls: 4.9358, loss: 4.9358 2025-05-06 00:13:09,153 - pyskl - INFO - Epoch [119][300/523] lr: 3.308e-02, eta: 12:07:15, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.7137, top5_acc: 0.9337, loss_cls: 4.9697, loss: 4.9697 2025-05-06 00:13:51,122 - pyskl - INFO - Epoch [119][400/523] lr: 3.303e-02, eta: 12:06:23, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.6937, top5_acc: 0.9203, loss_cls: 5.0017, loss: 5.0017 2025-05-06 00:14:33,935 - pyskl - INFO - Epoch [119][500/523] lr: 3.299e-02, eta: 12:05:32, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.7131, top5_acc: 0.9269, loss_cls: 5.0872, loss: 5.0872 2025-05-06 00:14:44,622 - pyskl - INFO - Saving checkpoint at 119 epochs 2025-05-06 00:15:13,217 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:15:13,286 - pyskl - INFO - top1_acc 0.3081 top5_acc 0.5388 2025-05-06 00:15:13,287 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:15:13,294 - pyskl - INFO - mean_acc 0.3073 2025-05-06 00:15:13,296 - pyskl - INFO - Epoch(val) [119][198] top1_acc: 0.3081, top5_acc: 0.5388, mean_class_accuracy: 0.3073 2025-05-06 00:16:23,332 - pyskl - INFO - Epoch [120][100/523] lr: 3.293e-02, eta: 12:04:56, time: 0.700, data_time: 0.261, memory: 7964, top1_acc: 0.7278, top5_acc: 0.9487, loss_cls: 4.9099, loss: 4.9099 2025-05-06 00:17:05,990 - pyskl - INFO - Epoch [120][200/523] lr: 3.288e-02, eta: 12:04:05, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.7291, top5_acc: 0.9425, loss_cls: 4.8651, loss: 4.8651 2025-05-06 00:17:48,320 - pyskl - INFO - Epoch [120][300/523] lr: 3.283e-02, eta: 12:03:13, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.7184, top5_acc: 0.9306, loss_cls: 5.0278, loss: 5.0278 2025-05-06 00:18:30,375 - pyskl - INFO - Epoch [120][400/523] lr: 3.278e-02, eta: 12:02:21, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.6994, top5_acc: 0.9384, loss_cls: 5.0334, loss: 5.0334 2025-05-06 00:19:12,928 - pyskl - INFO - Epoch [120][500/523] lr: 3.274e-02, eta: 12:01:30, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.6834, top5_acc: 0.9219, loss_cls: 5.2015, loss: 5.2015 2025-05-06 00:19:23,335 - pyskl - INFO - Saving checkpoint at 120 epochs 2025-05-06 00:19:51,956 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:19:52,025 - pyskl - INFO - top1_acc 0.3263 top5_acc 0.5602 2025-05-06 00:19:52,026 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:19:52,033 - pyskl - INFO - mean_acc 0.3257 2025-05-06 00:19:52,034 - pyskl - INFO - Epoch(val) [120][198] top1_acc: 0.3263, top5_acc: 0.5602, mean_class_accuracy: 0.3257 2025-05-06 00:21:00,948 - pyskl - INFO - Epoch [121][100/523] lr: 3.268e-02, eta: 12:00:52, time: 0.689, data_time: 0.257, memory: 7964, top1_acc: 0.7388, top5_acc: 0.9425, loss_cls: 4.8347, loss: 4.8347 2025-05-06 00:21:44,624 - pyskl - INFO - Epoch [121][200/523] lr: 3.263e-02, eta: 12:00:03, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7312, top5_acc: 0.9416, loss_cls: 4.8509, loss: 4.8509 2025-05-06 00:22:26,831 - pyskl - INFO - Epoch [121][300/523] lr: 3.258e-02, eta: 11:59:11, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.7022, top5_acc: 0.9300, loss_cls: 5.0529, loss: 5.0529 2025-05-06 00:23:08,639 - pyskl - INFO - Epoch [121][400/523] lr: 3.254e-02, eta: 11:58:19, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.7059, top5_acc: 0.9278, loss_cls: 5.1158, loss: 5.1158 2025-05-06 00:23:51,302 - pyskl - INFO - Epoch [121][500/523] lr: 3.249e-02, eta: 11:57:28, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.7031, top5_acc: 0.9341, loss_cls: 5.0008, loss: 5.0008 2025-05-06 00:24:01,802 - pyskl - INFO - Saving checkpoint at 121 epochs 2025-05-06 00:24:30,125 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:24:30,194 - pyskl - INFO - top1_acc 0.3081 top5_acc 0.5331 2025-05-06 00:24:30,194 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:24:30,202 - pyskl - INFO - mean_acc 0.3063 2025-05-06 00:24:30,203 - pyskl - INFO - Epoch(val) [121][198] top1_acc: 0.3081, top5_acc: 0.5331, mean_class_accuracy: 0.3063 2025-05-06 00:25:39,152 - pyskl - INFO - Epoch [122][100/523] lr: 3.243e-02, eta: 11:56:50, time: 0.689, data_time: 0.259, memory: 7964, top1_acc: 0.7538, top5_acc: 0.9556, loss_cls: 4.7980, loss: 4.7980 2025-05-06 00:26:22,426 - pyskl - INFO - Epoch [122][200/523] lr: 3.238e-02, eta: 11:56:00, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7256, top5_acc: 0.9366, loss_cls: 4.8479, loss: 4.8479 2025-05-06 00:27:05,074 - pyskl - INFO - Epoch [122][300/523] lr: 3.233e-02, eta: 11:55:09, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.7259, top5_acc: 0.9375, loss_cls: 4.8859, loss: 4.8859 2025-05-06 00:27:47,396 - pyskl - INFO - Epoch [122][400/523] lr: 3.229e-02, eta: 11:54:18, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.6944, top5_acc: 0.9269, loss_cls: 5.0927, loss: 5.0927 2025-05-06 00:28:29,855 - pyskl - INFO - Epoch [122][500/523] lr: 3.224e-02, eta: 11:53:26, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.6956, top5_acc: 0.9237, loss_cls: 5.1873, loss: 5.1873 2025-05-06 00:28:40,471 - pyskl - INFO - Saving checkpoint at 122 epochs 2025-05-06 00:29:08,986 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:29:09,055 - pyskl - INFO - top1_acc 0.3361 top5_acc 0.5675 2025-05-06 00:29:09,055 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:29:09,062 - pyskl - INFO - mean_acc 0.3347 2025-05-06 00:29:09,063 - pyskl - INFO - Epoch(val) [122][198] top1_acc: 0.3361, top5_acc: 0.5675, mean_class_accuracy: 0.3347 2025-05-06 00:30:18,466 - pyskl - INFO - Epoch [123][100/523] lr: 3.218e-02, eta: 11:52:49, time: 0.694, data_time: 0.259, memory: 7964, top1_acc: 0.7316, top5_acc: 0.9459, loss_cls: 4.8803, loss: 4.8803 2025-05-06 00:31:00,751 - pyskl - INFO - Epoch [123][200/523] lr: 3.213e-02, eta: 11:51:57, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.7312, top5_acc: 0.9447, loss_cls: 4.8761, loss: 4.8761 2025-05-06 00:31:43,120 - pyskl - INFO - Epoch [123][300/523] lr: 3.208e-02, eta: 11:51:06, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.7116, top5_acc: 0.9375, loss_cls: 4.9620, loss: 4.9620 2025-05-06 00:32:25,098 - pyskl - INFO - Epoch [123][400/523] lr: 3.203e-02, eta: 11:50:14, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7150, top5_acc: 0.9363, loss_cls: 5.0238, loss: 5.0238 2025-05-06 00:33:08,063 - pyskl - INFO - Epoch [123][500/523] lr: 3.199e-02, eta: 11:49:24, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7116, top5_acc: 0.9300, loss_cls: 4.9809, loss: 4.9809 2025-05-06 00:33:18,838 - pyskl - INFO - Saving checkpoint at 123 epochs 2025-05-06 00:33:47,089 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:33:47,158 - pyskl - INFO - top1_acc 0.3204 top5_acc 0.5594 2025-05-06 00:33:47,158 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:33:47,166 - pyskl - INFO - mean_acc 0.3181 2025-05-06 00:33:47,167 - pyskl - INFO - Epoch(val) [123][198] top1_acc: 0.3204, top5_acc: 0.5594, mean_class_accuracy: 0.3181 2025-05-06 00:34:56,806 - pyskl - INFO - Epoch [124][100/523] lr: 3.193e-02, eta: 11:48:46, time: 0.696, data_time: 0.259, memory: 7964, top1_acc: 0.7447, top5_acc: 0.9503, loss_cls: 4.7549, loss: 4.7549 2025-05-06 00:35:40,851 - pyskl - INFO - Epoch [124][200/523] lr: 3.188e-02, eta: 11:47:57, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7322, top5_acc: 0.9347, loss_cls: 5.0146, loss: 5.0146 2025-05-06 00:36:23,716 - pyskl - INFO - Epoch [124][300/523] lr: 3.183e-02, eta: 11:47:07, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7069, top5_acc: 0.9350, loss_cls: 5.0733, loss: 5.0733 2025-05-06 00:37:06,027 - pyskl - INFO - Epoch [124][400/523] lr: 3.178e-02, eta: 11:46:16, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.6994, top5_acc: 0.9313, loss_cls: 4.9511, loss: 4.9511 2025-05-06 00:37:49,581 - pyskl - INFO - Epoch [124][500/523] lr: 3.173e-02, eta: 11:45:26, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7075, top5_acc: 0.9287, loss_cls: 4.9761, loss: 4.9761 2025-05-06 00:38:00,157 - pyskl - INFO - Saving checkpoint at 124 epochs 2025-05-06 00:38:28,958 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:38:29,026 - pyskl - INFO - top1_acc 0.3306 top5_acc 0.5649 2025-05-06 00:38:29,026 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:38:29,034 - pyskl - INFO - mean_acc 0.3313 2025-05-06 00:38:29,036 - pyskl - INFO - Epoch(val) [124][198] top1_acc: 0.3306, top5_acc: 0.5649, mean_class_accuracy: 0.3313 2025-05-06 00:39:38,907 - pyskl - INFO - Epoch [125][100/523] lr: 3.168e-02, eta: 11:44:49, time: 0.699, data_time: 0.260, memory: 7964, top1_acc: 0.7488, top5_acc: 0.9509, loss_cls: 4.8422, loss: 4.8422 2025-05-06 00:40:22,463 - pyskl - INFO - Epoch [125][200/523] lr: 3.163e-02, eta: 11:43:59, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7306, top5_acc: 0.9366, loss_cls: 4.9058, loss: 4.9058 2025-05-06 00:41:05,250 - pyskl - INFO - Epoch [125][300/523] lr: 3.158e-02, eta: 11:43:09, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.7334, top5_acc: 0.9431, loss_cls: 4.9269, loss: 4.9269 2025-05-06 00:41:47,243 - pyskl - INFO - Epoch [125][400/523] lr: 3.153e-02, eta: 11:42:17, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7097, top5_acc: 0.9413, loss_cls: 5.0078, loss: 5.0078 2025-05-06 00:42:30,204 - pyskl - INFO - Epoch [125][500/523] lr: 3.148e-02, eta: 11:41:27, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6953, top5_acc: 0.9247, loss_cls: 5.1200, loss: 5.1200 2025-05-06 00:42:40,952 - pyskl - INFO - Saving checkpoint at 125 epochs 2025-05-06 00:43:09,307 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:43:09,376 - pyskl - INFO - top1_acc 0.3295 top5_acc 0.5568 2025-05-06 00:43:09,376 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:43:09,384 - pyskl - INFO - mean_acc 0.3295 2025-05-06 00:43:09,386 - pyskl - INFO - Epoch(val) [125][198] top1_acc: 0.3295, top5_acc: 0.5568, mean_class_accuracy: 0.3295 2025-05-06 00:44:18,581 - pyskl - INFO - Epoch [126][100/523] lr: 3.142e-02, eta: 11:40:48, time: 0.692, data_time: 0.258, memory: 7964, top1_acc: 0.7584, top5_acc: 0.9550, loss_cls: 4.6422, loss: 4.6422 2025-05-06 00:45:01,463 - pyskl - INFO - Epoch [126][200/523] lr: 3.137e-02, eta: 11:39:58, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7509, top5_acc: 0.9444, loss_cls: 4.7128, loss: 4.7128 2025-05-06 00:45:43,993 - pyskl - INFO - Epoch [126][300/523] lr: 3.133e-02, eta: 11:39:07, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.7272, top5_acc: 0.9391, loss_cls: 4.8348, loss: 4.8348 2025-05-06 00:46:25,970 - pyskl - INFO - Epoch [126][400/523] lr: 3.128e-02, eta: 11:38:15, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7137, top5_acc: 0.9406, loss_cls: 4.9199, loss: 4.9199 2025-05-06 00:47:08,636 - pyskl - INFO - Epoch [126][500/523] lr: 3.123e-02, eta: 11:37:25, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6991, top5_acc: 0.9319, loss_cls: 4.9384, loss: 4.9384 2025-05-06 00:47:19,219 - pyskl - INFO - Saving checkpoint at 126 epochs 2025-05-06 00:47:47,538 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:47:47,606 - pyskl - INFO - top1_acc 0.3317 top5_acc 0.5565 2025-05-06 00:47:47,607 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:47:47,614 - pyskl - INFO - mean_acc 0.3308 2025-05-06 00:47:47,615 - pyskl - INFO - Epoch(val) [126][198] top1_acc: 0.3317, top5_acc: 0.5565, mean_class_accuracy: 0.3308 2025-05-06 00:48:56,852 - pyskl - INFO - Epoch [127][100/523] lr: 3.117e-02, eta: 11:36:46, time: 0.692, data_time: 0.257, memory: 7964, top1_acc: 0.7478, top5_acc: 0.9500, loss_cls: 4.7314, loss: 4.7314 2025-05-06 00:49:40,951 - pyskl - INFO - Epoch [127][200/523] lr: 3.112e-02, eta: 11:35:57, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7384, top5_acc: 0.9381, loss_cls: 4.8819, loss: 4.8819 2025-05-06 00:50:24,346 - pyskl - INFO - Epoch [127][300/523] lr: 3.107e-02, eta: 11:35:08, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7122, top5_acc: 0.9387, loss_cls: 4.9457, loss: 4.9457 2025-05-06 00:51:06,372 - pyskl - INFO - Epoch [127][400/523] lr: 3.102e-02, eta: 11:34:16, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7219, top5_acc: 0.9369, loss_cls: 4.9783, loss: 4.9783 2025-05-06 00:51:49,973 - pyskl - INFO - Epoch [127][500/523] lr: 3.098e-02, eta: 11:33:27, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7081, top5_acc: 0.9303, loss_cls: 5.0610, loss: 5.0610 2025-05-06 00:52:00,734 - pyskl - INFO - Saving checkpoint at 127 epochs 2025-05-06 00:52:29,275 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:52:29,349 - pyskl - INFO - top1_acc 0.3098 top5_acc 0.5394 2025-05-06 00:52:29,350 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:52:29,358 - pyskl - INFO - mean_acc 0.3105 2025-05-06 00:52:29,360 - pyskl - INFO - Epoch(val) [127][198] top1_acc: 0.3098, top5_acc: 0.5394, mean_class_accuracy: 0.3105 2025-05-06 00:53:39,167 - pyskl - INFO - Epoch [128][100/523] lr: 3.092e-02, eta: 11:32:48, time: 0.698, data_time: 0.260, memory: 7964, top1_acc: 0.7531, top5_acc: 0.9506, loss_cls: 4.8161, loss: 4.8161 2025-05-06 00:54:22,495 - pyskl - INFO - Epoch [128][200/523] lr: 3.087e-02, eta: 11:31:59, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7403, top5_acc: 0.9416, loss_cls: 4.7580, loss: 4.7580 2025-05-06 00:55:04,582 - pyskl - INFO - Epoch [128][300/523] lr: 3.082e-02, eta: 11:31:08, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.7247, top5_acc: 0.9406, loss_cls: 4.9125, loss: 4.9125 2025-05-06 00:55:46,262 - pyskl - INFO - Epoch [128][400/523] lr: 3.077e-02, eta: 11:30:16, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.7147, top5_acc: 0.9372, loss_cls: 4.9308, loss: 4.9308 2025-05-06 00:56:28,873 - pyskl - INFO - Epoch [128][500/523] lr: 3.072e-02, eta: 11:29:25, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.7128, top5_acc: 0.9353, loss_cls: 4.9927, loss: 4.9927 2025-05-06 00:56:39,386 - pyskl - INFO - Saving checkpoint at 128 epochs 2025-05-06 00:57:07,914 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 00:57:07,983 - pyskl - INFO - top1_acc 0.3169 top5_acc 0.5462 2025-05-06 00:57:07,984 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 00:57:07,992 - pyskl - INFO - mean_acc 0.3183 2025-05-06 00:57:07,994 - pyskl - INFO - Epoch(val) [128][198] top1_acc: 0.3169, top5_acc: 0.5462, mean_class_accuracy: 0.3183 2025-05-06 00:58:17,921 - pyskl - INFO - Epoch [129][100/523] lr: 3.066e-02, eta: 11:28:47, time: 0.699, data_time: 0.262, memory: 7964, top1_acc: 0.7631, top5_acc: 0.9597, loss_cls: 4.6072, loss: 4.6072 2025-05-06 00:59:00,394 - pyskl - INFO - Epoch [129][200/523] lr: 3.061e-02, eta: 11:27:56, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.7325, top5_acc: 0.9384, loss_cls: 4.7784, loss: 4.7784 2025-05-06 00:59:43,436 - pyskl - INFO - Epoch [129][300/523] lr: 3.056e-02, eta: 11:27:06, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7294, top5_acc: 0.9431, loss_cls: 4.9286, loss: 4.9286 2025-05-06 01:00:25,252 - pyskl - INFO - Epoch [129][400/523] lr: 3.051e-02, eta: 11:26:14, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.7291, top5_acc: 0.9350, loss_cls: 4.9395, loss: 4.9395 2025-05-06 01:01:07,833 - pyskl - INFO - Epoch [129][500/523] lr: 3.047e-02, eta: 11:25:24, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.7150, top5_acc: 0.9394, loss_cls: 4.8567, loss: 4.8567 2025-05-06 01:01:18,367 - pyskl - INFO - Saving checkpoint at 129 epochs 2025-05-06 01:01:46,642 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:01:46,710 - pyskl - INFO - top1_acc 0.3093 top5_acc 0.5373 2025-05-06 01:01:46,711 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:01:46,718 - pyskl - INFO - mean_acc 0.3093 2025-05-06 01:01:46,720 - pyskl - INFO - Epoch(val) [129][198] top1_acc: 0.3093, top5_acc: 0.5373, mean_class_accuracy: 0.3093 2025-05-06 01:02:55,634 - pyskl - INFO - Epoch [130][100/523] lr: 3.041e-02, eta: 11:24:44, time: 0.689, data_time: 0.257, memory: 7964, top1_acc: 0.7709, top5_acc: 0.9547, loss_cls: 4.7111, loss: 4.7111 2025-05-06 01:03:39,394 - pyskl - INFO - Epoch [130][200/523] lr: 3.036e-02, eta: 11:23:55, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7450, top5_acc: 0.9469, loss_cls: 4.8112, loss: 4.8112 2025-05-06 01:04:21,362 - pyskl - INFO - Epoch [130][300/523] lr: 3.031e-02, eta: 11:23:04, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7375, top5_acc: 0.9444, loss_cls: 4.8092, loss: 4.8092 2025-05-06 01:05:03,360 - pyskl - INFO - Epoch [130][400/523] lr: 3.026e-02, eta: 11:22:12, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7275, top5_acc: 0.9409, loss_cls: 4.9226, loss: 4.9226 2025-05-06 01:05:45,664 - pyskl - INFO - Epoch [130][500/523] lr: 3.021e-02, eta: 11:21:22, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.7209, top5_acc: 0.9403, loss_cls: 4.9548, loss: 4.9548 2025-05-06 01:05:55,981 - pyskl - INFO - Saving checkpoint at 130 epochs 2025-05-06 01:06:24,387 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:06:24,456 - pyskl - INFO - top1_acc 0.3287 top5_acc 0.5591 2025-05-06 01:06:24,456 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:06:24,463 - pyskl - INFO - mean_acc 0.3294 2025-05-06 01:06:24,465 - pyskl - INFO - Epoch(val) [130][198] top1_acc: 0.3287, top5_acc: 0.5591, mean_class_accuracy: 0.3294 2025-05-06 01:07:33,103 - pyskl - INFO - Epoch [131][100/523] lr: 3.015e-02, eta: 11:20:41, time: 0.686, data_time: 0.257, memory: 7964, top1_acc: 0.7616, top5_acc: 0.9513, loss_cls: 4.6722, loss: 4.6722 2025-05-06 01:08:15,843 - pyskl - INFO - Epoch [131][200/523] lr: 3.010e-02, eta: 11:19:51, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.7541, top5_acc: 0.9503, loss_cls: 4.6394, loss: 4.6394 2025-05-06 01:08:58,079 - pyskl - INFO - Epoch [131][300/523] lr: 3.005e-02, eta: 11:19:00, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.7275, top5_acc: 0.9431, loss_cls: 4.9280, loss: 4.9280 2025-05-06 01:09:40,147 - pyskl - INFO - Epoch [131][400/523] lr: 3.000e-02, eta: 11:18:09, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.7338, top5_acc: 0.9347, loss_cls: 4.8477, loss: 4.8477 2025-05-06 01:10:21,976 - pyskl - INFO - Epoch [131][500/523] lr: 2.995e-02, eta: 11:17:17, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.7131, top5_acc: 0.9387, loss_cls: 4.9072, loss: 4.9072 2025-05-06 01:10:32,251 - pyskl - INFO - Saving checkpoint at 131 epochs 2025-05-06 01:11:00,707 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:11:00,775 - pyskl - INFO - top1_acc 0.3146 top5_acc 0.5541 2025-05-06 01:11:00,775 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:11:00,782 - pyskl - INFO - mean_acc 0.3155 2025-05-06 01:11:00,784 - pyskl - INFO - Epoch(val) [131][198] top1_acc: 0.3146, top5_acc: 0.5541, mean_class_accuracy: 0.3155 2025-05-06 01:12:09,559 - pyskl - INFO - Epoch [132][100/523] lr: 2.989e-02, eta: 11:16:37, time: 0.688, data_time: 0.258, memory: 7964, top1_acc: 0.7691, top5_acc: 0.9594, loss_cls: 4.5595, loss: 4.5595 2025-05-06 01:12:52,792 - pyskl - INFO - Epoch [132][200/523] lr: 2.984e-02, eta: 11:15:47, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7456, top5_acc: 0.9447, loss_cls: 4.7583, loss: 4.7583 2025-05-06 01:13:35,868 - pyskl - INFO - Epoch [132][300/523] lr: 2.979e-02, eta: 11:14:57, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7438, top5_acc: 0.9503, loss_cls: 4.8560, loss: 4.8560 2025-05-06 01:14:18,068 - pyskl - INFO - Epoch [132][400/523] lr: 2.975e-02, eta: 11:14:07, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.7206, top5_acc: 0.9400, loss_cls: 4.8989, loss: 4.8989 2025-05-06 01:15:00,372 - pyskl - INFO - Epoch [132][500/523] lr: 2.970e-02, eta: 11:13:16, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.7184, top5_acc: 0.9419, loss_cls: 4.8669, loss: 4.8669 2025-05-06 01:15:10,912 - pyskl - INFO - Saving checkpoint at 132 epochs 2025-05-06 01:15:39,222 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:15:39,296 - pyskl - INFO - top1_acc 0.3055 top5_acc 0.5421 2025-05-06 01:15:39,297 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:15:39,306 - pyskl - INFO - mean_acc 0.3072 2025-05-06 01:15:39,308 - pyskl - INFO - Epoch(val) [132][198] top1_acc: 0.3055, top5_acc: 0.5421, mean_class_accuracy: 0.3072 2025-05-06 01:16:47,702 - pyskl - INFO - Epoch [133][100/523] lr: 2.964e-02, eta: 11:12:35, time: 0.684, data_time: 0.256, memory: 7964, top1_acc: 0.7553, top5_acc: 0.9556, loss_cls: 4.7045, loss: 4.7045 2025-05-06 01:17:31,430 - pyskl - INFO - Epoch [133][200/523] lr: 2.959e-02, eta: 11:11:46, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7575, top5_acc: 0.9500, loss_cls: 4.6983, loss: 4.6983 2025-05-06 01:18:15,075 - pyskl - INFO - Epoch [133][300/523] lr: 2.954e-02, eta: 11:10:57, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7394, top5_acc: 0.9475, loss_cls: 4.7724, loss: 4.7724 2025-05-06 01:18:57,396 - pyskl - INFO - Epoch [133][400/523] lr: 2.949e-02, eta: 11:10:06, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.7294, top5_acc: 0.9425, loss_cls: 4.9011, loss: 4.9011 2025-05-06 01:19:39,519 - pyskl - INFO - Epoch [133][500/523] lr: 2.944e-02, eta: 11:09:15, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.7203, top5_acc: 0.9328, loss_cls: 5.0348, loss: 5.0348 2025-05-06 01:19:50,256 - pyskl - INFO - Saving checkpoint at 133 epochs 2025-05-06 01:20:18,485 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:20:18,557 - pyskl - INFO - top1_acc 0.3326 top5_acc 0.5543 2025-05-06 01:20:18,558 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:20:18,566 - pyskl - INFO - mean_acc 0.3306 2025-05-06 01:20:18,568 - pyskl - INFO - Epoch(val) [133][198] top1_acc: 0.3326, top5_acc: 0.5543, mean_class_accuracy: 0.3306 2025-05-06 01:21:28,044 - pyskl - INFO - Epoch [134][100/523] lr: 2.938e-02, eta: 11:08:35, time: 0.695, data_time: 0.259, memory: 7964, top1_acc: 0.7722, top5_acc: 0.9597, loss_cls: 4.6296, loss: 4.6296 2025-05-06 01:22:10,829 - pyskl - INFO - Epoch [134][200/523] lr: 2.933e-02, eta: 11:07:45, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.7547, top5_acc: 0.9487, loss_cls: 4.7176, loss: 4.7176 2025-05-06 01:22:52,828 - pyskl - INFO - Epoch [134][300/523] lr: 2.928e-02, eta: 11:06:54, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7500, top5_acc: 0.9466, loss_cls: 4.6928, loss: 4.6928 2025-05-06 01:23:34,838 - pyskl - INFO - Epoch [134][400/523] lr: 2.923e-02, eta: 11:06:03, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7381, top5_acc: 0.9447, loss_cls: 4.8357, loss: 4.8357 2025-05-06 01:24:16,774 - pyskl - INFO - Epoch [134][500/523] lr: 2.918e-02, eta: 11:05:12, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.7150, top5_acc: 0.9450, loss_cls: 4.9342, loss: 4.9342 2025-05-06 01:24:27,041 - pyskl - INFO - Saving checkpoint at 134 epochs 2025-05-06 01:24:55,384 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:24:55,452 - pyskl - INFO - top1_acc 0.3173 top5_acc 0.5283 2025-05-06 01:24:55,452 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:24:55,459 - pyskl - INFO - mean_acc 0.3159 2025-05-06 01:24:55,461 - pyskl - INFO - Epoch(val) [134][198] top1_acc: 0.3173, top5_acc: 0.5283, mean_class_accuracy: 0.3159 2025-05-06 01:26:04,526 - pyskl - INFO - Epoch [135][100/523] lr: 2.912e-02, eta: 11:04:31, time: 0.691, data_time: 0.257, memory: 7964, top1_acc: 0.7753, top5_acc: 0.9606, loss_cls: 4.4905, loss: 4.4905 2025-05-06 01:26:48,373 - pyskl - INFO - Epoch [135][200/523] lr: 2.907e-02, eta: 11:03:43, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7572, top5_acc: 0.9484, loss_cls: 4.7907, loss: 4.7907 2025-05-06 01:27:31,899 - pyskl - INFO - Epoch [135][300/523] lr: 2.902e-02, eta: 11:02:54, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7478, top5_acc: 0.9522, loss_cls: 4.7785, loss: 4.7785 2025-05-06 01:28:14,501 - pyskl - INFO - Epoch [135][400/523] lr: 2.897e-02, eta: 11:02:03, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.7384, top5_acc: 0.9437, loss_cls: 4.9279, loss: 4.9279 2025-05-06 01:28:56,481 - pyskl - INFO - Epoch [135][500/523] lr: 2.892e-02, eta: 11:01:13, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7400, top5_acc: 0.9419, loss_cls: 4.9012, loss: 4.9012 2025-05-06 01:29:06,733 - pyskl - INFO - Saving checkpoint at 135 epochs 2025-05-06 01:29:35,085 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:29:35,153 - pyskl - INFO - top1_acc 0.3328 top5_acc 0.5597 2025-05-06 01:29:35,153 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:29:35,160 - pyskl - INFO - mean_acc 0.3320 2025-05-06 01:29:35,161 - pyskl - INFO - Epoch(val) [135][198] top1_acc: 0.3328, top5_acc: 0.5597, mean_class_accuracy: 0.3320 2025-05-06 01:30:44,761 - pyskl - INFO - Epoch [136][100/523] lr: 2.886e-02, eta: 11:00:32, time: 0.696, data_time: 0.258, memory: 7964, top1_acc: 0.7837, top5_acc: 0.9641, loss_cls: 4.5485, loss: 4.5485 2025-05-06 01:31:27,845 - pyskl - INFO - Epoch [136][200/523] lr: 2.881e-02, eta: 10:59:43, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7566, top5_acc: 0.9494, loss_cls: 4.6952, loss: 4.6952 2025-05-06 01:32:10,979 - pyskl - INFO - Epoch [136][300/523] lr: 2.876e-02, eta: 10:58:53, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7672, top5_acc: 0.9569, loss_cls: 4.6462, loss: 4.6462 2025-05-06 01:32:54,692 - pyskl - INFO - Epoch [136][400/523] lr: 2.871e-02, eta: 10:58:04, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7284, top5_acc: 0.9475, loss_cls: 4.8388, loss: 4.8388 2025-05-06 01:33:37,036 - pyskl - INFO - Epoch [136][500/523] lr: 2.866e-02, eta: 10:57:14, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.7212, top5_acc: 0.9334, loss_cls: 4.8883, loss: 4.8883 2025-05-06 01:33:47,263 - pyskl - INFO - Saving checkpoint at 136 epochs 2025-05-06 01:34:15,844 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:34:15,913 - pyskl - INFO - top1_acc 0.3404 top5_acc 0.5665 2025-05-06 01:34:15,913 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:34:15,921 - pyskl - INFO - mean_acc 0.3404 2025-05-06 01:34:15,922 - pyskl - INFO - Epoch(val) [136][198] top1_acc: 0.3404, top5_acc: 0.5665, mean_class_accuracy: 0.3404 2025-05-06 01:35:25,547 - pyskl - INFO - Epoch [137][100/523] lr: 2.860e-02, eta: 10:56:33, time: 0.696, data_time: 0.259, memory: 7964, top1_acc: 0.7734, top5_acc: 0.9587, loss_cls: 4.5686, loss: 4.5686 2025-05-06 01:36:09,551 - pyskl - INFO - Epoch [137][200/523] lr: 2.855e-02, eta: 10:55:45, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7638, top5_acc: 0.9566, loss_cls: 4.6813, loss: 4.6813 2025-05-06 01:36:52,408 - pyskl - INFO - Epoch [137][300/523] lr: 2.850e-02, eta: 10:54:55, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7547, top5_acc: 0.9431, loss_cls: 4.7449, loss: 4.7449 2025-05-06 01:37:34,688 - pyskl - INFO - Epoch [137][400/523] lr: 2.845e-02, eta: 10:54:05, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.7425, top5_acc: 0.9478, loss_cls: 4.9204, loss: 4.9204 2025-05-06 01:38:16,516 - pyskl - INFO - Epoch [137][500/523] lr: 2.840e-02, eta: 10:53:14, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.7547, top5_acc: 0.9478, loss_cls: 4.7143, loss: 4.7143 2025-05-06 01:38:26,759 - pyskl - INFO - Saving checkpoint at 137 epochs 2025-05-06 01:38:55,049 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:38:55,117 - pyskl - INFO - top1_acc 0.3282 top5_acc 0.5323 2025-05-06 01:38:55,117 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:38:55,124 - pyskl - INFO - mean_acc 0.3292 2025-05-06 01:38:55,125 - pyskl - INFO - Epoch(val) [137][198] top1_acc: 0.3282, top5_acc: 0.5323, mean_class_accuracy: 0.3292 2025-05-06 01:40:03,920 - pyskl - INFO - Epoch [138][100/523] lr: 2.834e-02, eta: 10:52:32, time: 0.688, data_time: 0.259, memory: 7964, top1_acc: 0.7497, top5_acc: 0.9509, loss_cls: 4.6054, loss: 4.6054 2025-05-06 01:40:47,133 - pyskl - INFO - Epoch [138][200/523] lr: 2.829e-02, eta: 10:51:43, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7634, top5_acc: 0.9575, loss_cls: 4.6469, loss: 4.6469 2025-05-06 01:41:29,749 - pyskl - INFO - Epoch [138][300/523] lr: 2.824e-02, eta: 10:50:53, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.7531, top5_acc: 0.9519, loss_cls: 4.7234, loss: 4.7234 2025-05-06 01:42:12,773 - pyskl - INFO - Epoch [138][400/523] lr: 2.819e-02, eta: 10:50:03, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7472, top5_acc: 0.9491, loss_cls: 4.8048, loss: 4.8048 2025-05-06 01:42:54,530 - pyskl - INFO - Epoch [138][500/523] lr: 2.815e-02, eta: 10:49:12, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.7472, top5_acc: 0.9478, loss_cls: 4.7280, loss: 4.7280 2025-05-06 01:43:04,811 - pyskl - INFO - Saving checkpoint at 138 epochs 2025-05-06 01:43:33,182 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:43:33,249 - pyskl - INFO - top1_acc 0.3430 top5_acc 0.5686 2025-05-06 01:43:33,250 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:43:33,257 - pyskl - INFO - mean_acc 0.3445 2025-05-06 01:43:33,258 - pyskl - INFO - Epoch(val) [138][198] top1_acc: 0.3430, top5_acc: 0.5686, mean_class_accuracy: 0.3445 2025-05-06 01:44:43,117 - pyskl - INFO - Epoch [139][100/523] lr: 2.808e-02, eta: 10:48:31, time: 0.699, data_time: 0.258, memory: 7964, top1_acc: 0.7831, top5_acc: 0.9656, loss_cls: 4.4074, loss: 4.4074 2025-05-06 01:45:26,639 - pyskl - INFO - Epoch [139][200/523] lr: 2.803e-02, eta: 10:47:43, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7575, top5_acc: 0.9497, loss_cls: 4.6624, loss: 4.6624 2025-05-06 01:46:09,512 - pyskl - INFO - Epoch [139][300/523] lr: 2.798e-02, eta: 10:46:53, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7531, top5_acc: 0.9491, loss_cls: 4.7815, loss: 4.7815 2025-05-06 01:46:52,248 - pyskl - INFO - Epoch [139][400/523] lr: 2.794e-02, eta: 10:46:03, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.7375, top5_acc: 0.9528, loss_cls: 4.6788, loss: 4.6788 2025-05-06 01:47:34,089 - pyskl - INFO - Epoch [139][500/523] lr: 2.789e-02, eta: 10:45:12, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.7297, top5_acc: 0.9437, loss_cls: 4.8565, loss: 4.8565 2025-05-06 01:47:44,468 - pyskl - INFO - Saving checkpoint at 139 epochs 2025-05-06 01:48:12,751 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:48:12,820 - pyskl - INFO - top1_acc 0.3108 top5_acc 0.5313 2025-05-06 01:48:12,820 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:48:12,828 - pyskl - INFO - mean_acc 0.3101 2025-05-06 01:48:12,829 - pyskl - INFO - Epoch(val) [139][198] top1_acc: 0.3108, top5_acc: 0.5313, mean_class_accuracy: 0.3101 2025-05-06 01:49:22,070 - pyskl - INFO - Epoch [140][100/523] lr: 2.782e-02, eta: 10:44:31, time: 0.692, data_time: 0.257, memory: 7964, top1_acc: 0.7794, top5_acc: 0.9591, loss_cls: 4.5047, loss: 4.5047 2025-05-06 01:50:05,378 - pyskl - INFO - Epoch [140][200/523] lr: 2.777e-02, eta: 10:43:42, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7728, top5_acc: 0.9513, loss_cls: 4.6330, loss: 4.6330 2025-05-06 01:50:48,446 - pyskl - INFO - Epoch [140][300/523] lr: 2.772e-02, eta: 10:42:52, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7656, top5_acc: 0.9603, loss_cls: 4.6522, loss: 4.6522 2025-05-06 01:51:31,391 - pyskl - INFO - Epoch [140][400/523] lr: 2.767e-02, eta: 10:42:03, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7444, top5_acc: 0.9487, loss_cls: 4.7977, loss: 4.7977 2025-05-06 01:52:13,199 - pyskl - INFO - Epoch [140][500/523] lr: 2.763e-02, eta: 10:41:12, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.7438, top5_acc: 0.9472, loss_cls: 4.7571, loss: 4.7571 2025-05-06 01:52:23,497 - pyskl - INFO - Saving checkpoint at 140 epochs 2025-05-06 01:52:51,849 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:52:51,917 - pyskl - INFO - top1_acc 0.3352 top5_acc 0.5527 2025-05-06 01:52:51,917 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:52:51,924 - pyskl - INFO - mean_acc 0.3342 2025-05-06 01:52:51,925 - pyskl - INFO - Epoch(val) [140][198] top1_acc: 0.3352, top5_acc: 0.5527, mean_class_accuracy: 0.3342 2025-05-06 01:54:00,429 - pyskl - INFO - Epoch [141][100/523] lr: 2.756e-02, eta: 10:40:29, time: 0.685, data_time: 0.257, memory: 7964, top1_acc: 0.7797, top5_acc: 0.9647, loss_cls: 4.5676, loss: 4.5676 2025-05-06 01:54:43,784 - pyskl - INFO - Epoch [141][200/523] lr: 2.751e-02, eta: 10:39:40, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7769, top5_acc: 0.9541, loss_cls: 4.5209, loss: 4.5209 2025-05-06 01:55:26,798 - pyskl - INFO - Epoch [141][300/523] lr: 2.746e-02, eta: 10:38:51, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7562, top5_acc: 0.9522, loss_cls: 4.7193, loss: 4.7193 2025-05-06 01:56:10,052 - pyskl - INFO - Epoch [141][400/523] lr: 2.741e-02, eta: 10:38:02, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7725, top5_acc: 0.9563, loss_cls: 4.6330, loss: 4.6330 2025-05-06 01:56:52,114 - pyskl - INFO - Epoch [141][500/523] lr: 2.736e-02, eta: 10:37:11, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.7438, top5_acc: 0.9484, loss_cls: 4.8665, loss: 4.8665 2025-05-06 01:57:02,429 - pyskl - INFO - Saving checkpoint at 141 epochs 2025-05-06 01:57:30,986 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 01:57:31,055 - pyskl - INFO - top1_acc 0.3384 top5_acc 0.5673 2025-05-06 01:57:31,055 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 01:57:31,062 - pyskl - INFO - mean_acc 0.3378 2025-05-06 01:57:31,064 - pyskl - INFO - Epoch(val) [141][198] top1_acc: 0.3384, top5_acc: 0.5673, mean_class_accuracy: 0.3378 2025-05-06 01:58:40,597 - pyskl - INFO - Epoch [142][100/523] lr: 2.730e-02, eta: 10:36:30, time: 0.695, data_time: 0.260, memory: 7964, top1_acc: 0.7906, top5_acc: 0.9628, loss_cls: 4.5561, loss: 4.5561 2025-05-06 01:59:23,825 - pyskl - INFO - Epoch [142][200/523] lr: 2.725e-02, eta: 10:35:40, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7675, top5_acc: 0.9606, loss_cls: 4.5625, loss: 4.5625 2025-05-06 02:00:07,209 - pyskl - INFO - Epoch [142][300/523] lr: 2.720e-02, eta: 10:34:52, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7531, top5_acc: 0.9503, loss_cls: 4.6688, loss: 4.6688 2025-05-06 02:00:49,751 - pyskl - INFO - Epoch [142][400/523] lr: 2.715e-02, eta: 10:34:02, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.7516, top5_acc: 0.9541, loss_cls: 4.6676, loss: 4.6676 2025-05-06 02:01:31,948 - pyskl - INFO - Epoch [142][500/523] lr: 2.710e-02, eta: 10:33:12, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.7447, top5_acc: 0.9437, loss_cls: 4.8037, loss: 4.8037 2025-05-06 02:01:42,293 - pyskl - INFO - Saving checkpoint at 142 epochs 2025-05-06 02:02:11,163 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:02:11,233 - pyskl - INFO - top1_acc 0.3353 top5_acc 0.5541 2025-05-06 02:02:11,233 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:02:11,242 - pyskl - INFO - mean_acc 0.3331 2025-05-06 02:02:11,244 - pyskl - INFO - Epoch(val) [142][198] top1_acc: 0.3353, top5_acc: 0.5541, mean_class_accuracy: 0.3331 2025-05-06 02:03:20,828 - pyskl - INFO - Epoch [143][100/523] lr: 2.704e-02, eta: 10:32:30, time: 0.696, data_time: 0.261, memory: 7964, top1_acc: 0.7934, top5_acc: 0.9672, loss_cls: 4.5038, loss: 4.5038 2025-05-06 02:04:04,043 - pyskl - INFO - Epoch [143][200/523] lr: 2.699e-02, eta: 10:31:40, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7688, top5_acc: 0.9578, loss_cls: 4.6264, loss: 4.6264 2025-05-06 02:04:46,789 - pyskl - INFO - Epoch [143][300/523] lr: 2.694e-02, eta: 10:30:51, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.7666, top5_acc: 0.9584, loss_cls: 4.5984, loss: 4.5984 2025-05-06 02:05:29,655 - pyskl - INFO - Epoch [143][400/523] lr: 2.689e-02, eta: 10:30:02, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7588, top5_acc: 0.9578, loss_cls: 4.5431, loss: 4.5431 2025-05-06 02:06:12,091 - pyskl - INFO - Epoch [143][500/523] lr: 2.684e-02, eta: 10:29:12, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.7444, top5_acc: 0.9497, loss_cls: 4.7242, loss: 4.7242 2025-05-06 02:06:22,321 - pyskl - INFO - Saving checkpoint at 143 epochs 2025-05-06 02:06:51,033 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:06:51,103 - pyskl - INFO - top1_acc 0.3266 top5_acc 0.5635 2025-05-06 02:06:51,103 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:06:51,111 - pyskl - INFO - mean_acc 0.3275 2025-05-06 02:06:51,113 - pyskl - INFO - Epoch(val) [143][198] top1_acc: 0.3266, top5_acc: 0.5635, mean_class_accuracy: 0.3275 2025-05-06 02:08:00,098 - pyskl - INFO - Epoch [144][100/523] lr: 2.678e-02, eta: 10:28:29, time: 0.690, data_time: 0.262, memory: 7964, top1_acc: 0.7894, top5_acc: 0.9678, loss_cls: 4.3936, loss: 4.3936 2025-05-06 02:08:43,206 - pyskl - INFO - Epoch [144][200/523] lr: 2.673e-02, eta: 10:27:40, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7897, top5_acc: 0.9647, loss_cls: 4.5081, loss: 4.5081 2025-05-06 02:09:25,128 - pyskl - INFO - Epoch [144][300/523] lr: 2.668e-02, eta: 10:26:49, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.7806, top5_acc: 0.9603, loss_cls: 4.4452, loss: 4.4452 2025-05-06 02:10:07,084 - pyskl - INFO - Epoch [144][400/523] lr: 2.663e-02, eta: 10:25:59, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7522, top5_acc: 0.9622, loss_cls: 4.7158, loss: 4.7158 2025-05-06 02:10:49,135 - pyskl - INFO - Epoch [144][500/523] lr: 2.658e-02, eta: 10:25:09, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.7444, top5_acc: 0.9431, loss_cls: 4.6659, loss: 4.6659 2025-05-06 02:10:59,331 - pyskl - INFO - Saving checkpoint at 144 epochs 2025-05-06 02:11:28,252 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:11:28,321 - pyskl - INFO - top1_acc 0.3204 top5_acc 0.5510 2025-05-06 02:11:28,322 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:11:28,329 - pyskl - INFO - mean_acc 0.3203 2025-05-06 02:11:28,330 - pyskl - INFO - Epoch(val) [144][198] top1_acc: 0.3204, top5_acc: 0.5510, mean_class_accuracy: 0.3203 2025-05-06 02:12:37,729 - pyskl - INFO - Epoch [145][100/523] lr: 2.652e-02, eta: 10:24:26, time: 0.694, data_time: 0.260, memory: 7964, top1_acc: 0.7850, top5_acc: 0.9616, loss_cls: 4.4212, loss: 4.4212 2025-05-06 02:13:21,424 - pyskl - INFO - Epoch [145][200/523] lr: 2.647e-02, eta: 10:23:38, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7828, top5_acc: 0.9616, loss_cls: 4.5265, loss: 4.5265 2025-05-06 02:14:04,430 - pyskl - INFO - Epoch [145][300/523] lr: 2.642e-02, eta: 10:22:48, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7753, top5_acc: 0.9569, loss_cls: 4.5070, loss: 4.5070 2025-05-06 02:14:47,543 - pyskl - INFO - Epoch [145][400/523] lr: 2.637e-02, eta: 10:21:59, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7741, top5_acc: 0.9525, loss_cls: 4.6870, loss: 4.6870 2025-05-06 02:15:29,903 - pyskl - INFO - Epoch [145][500/523] lr: 2.632e-02, eta: 10:21:10, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.7519, top5_acc: 0.9616, loss_cls: 4.5850, loss: 4.5850 2025-05-06 02:15:40,188 - pyskl - INFO - Saving checkpoint at 145 epochs 2025-05-06 02:16:08,889 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:16:08,962 - pyskl - INFO - top1_acc 0.3406 top5_acc 0.5654 2025-05-06 02:16:08,963 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:16:08,971 - pyskl - INFO - mean_acc 0.3383 2025-05-06 02:16:08,973 - pyskl - INFO - Epoch(val) [145][198] top1_acc: 0.3406, top5_acc: 0.5654, mean_class_accuracy: 0.3383 2025-05-06 02:17:18,166 - pyskl - INFO - Epoch [146][100/523] lr: 2.626e-02, eta: 10:20:27, time: 0.692, data_time: 0.261, memory: 7964, top1_acc: 0.8028, top5_acc: 0.9591, loss_cls: 4.4626, loss: 4.4626 2025-05-06 02:18:01,667 - pyskl - INFO - Epoch [146][200/523] lr: 2.621e-02, eta: 10:19:38, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7950, top5_acc: 0.9666, loss_cls: 4.5033, loss: 4.5033 2025-05-06 02:18:44,399 - pyskl - INFO - Epoch [146][300/523] lr: 2.616e-02, eta: 10:18:49, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.7784, top5_acc: 0.9653, loss_cls: 4.5940, loss: 4.5940 2025-05-06 02:19:27,449 - pyskl - INFO - Epoch [146][400/523] lr: 2.611e-02, eta: 10:17:59, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7622, top5_acc: 0.9550, loss_cls: 4.6109, loss: 4.6109 2025-05-06 02:20:10,232 - pyskl - INFO - Epoch [146][500/523] lr: 2.606e-02, eta: 10:17:10, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.7553, top5_acc: 0.9559, loss_cls: 4.7162, loss: 4.7162 2025-05-06 02:20:20,549 - pyskl - INFO - Saving checkpoint at 146 epochs 2025-05-06 02:20:49,311 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:20:49,383 - pyskl - INFO - top1_acc 0.3238 top5_acc 0.5451 2025-05-06 02:20:49,383 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:20:49,393 - pyskl - INFO - mean_acc 0.3220 2025-05-06 02:20:49,395 - pyskl - INFO - Epoch(val) [146][198] top1_acc: 0.3238, top5_acc: 0.5451, mean_class_accuracy: 0.3220 2025-05-06 02:21:58,106 - pyskl - INFO - Epoch [147][100/523] lr: 2.600e-02, eta: 10:16:26, time: 0.687, data_time: 0.261, memory: 7964, top1_acc: 0.8025, top5_acc: 0.9691, loss_cls: 4.4470, loss: 4.4470 2025-05-06 02:22:42,105 - pyskl - INFO - Epoch [147][200/523] lr: 2.595e-02, eta: 10:15:38, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7969, top5_acc: 0.9681, loss_cls: 4.5869, loss: 4.5869 2025-05-06 02:23:25,324 - pyskl - INFO - Epoch [147][300/523] lr: 2.590e-02, eta: 10:14:49, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7825, top5_acc: 0.9644, loss_cls: 4.4587, loss: 4.4587 2025-05-06 02:24:07,848 - pyskl - INFO - Epoch [147][400/523] lr: 2.585e-02, eta: 10:14:00, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.7681, top5_acc: 0.9628, loss_cls: 4.6122, loss: 4.6122 2025-05-06 02:24:50,484 - pyskl - INFO - Epoch [147][500/523] lr: 2.580e-02, eta: 10:13:10, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.7394, top5_acc: 0.9550, loss_cls: 4.6741, loss: 4.6741 2025-05-06 02:25:00,869 - pyskl - INFO - Saving checkpoint at 147 epochs 2025-05-06 02:25:29,434 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:25:29,502 - pyskl - INFO - top1_acc 0.3355 top5_acc 0.5559 2025-05-06 02:25:29,502 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:25:29,509 - pyskl - INFO - mean_acc 0.3364 2025-05-06 02:25:29,511 - pyskl - INFO - Epoch(val) [147][198] top1_acc: 0.3355, top5_acc: 0.5559, mean_class_accuracy: 0.3364 2025-05-06 02:26:38,786 - pyskl - INFO - Epoch [148][100/523] lr: 2.574e-02, eta: 10:12:27, time: 0.693, data_time: 0.259, memory: 7964, top1_acc: 0.8172, top5_acc: 0.9759, loss_cls: 4.3340, loss: 4.3340 2025-05-06 02:27:22,658 - pyskl - INFO - Epoch [148][200/523] lr: 2.569e-02, eta: 10:11:39, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7919, top5_acc: 0.9700, loss_cls: 4.4726, loss: 4.4726 2025-05-06 02:28:06,508 - pyskl - INFO - Epoch [148][300/523] lr: 2.564e-02, eta: 10:10:51, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7744, top5_acc: 0.9653, loss_cls: 4.4938, loss: 4.4938 2025-05-06 02:28:50,459 - pyskl - INFO - Epoch [148][400/523] lr: 2.559e-02, eta: 10:10:03, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7762, top5_acc: 0.9556, loss_cls: 4.6835, loss: 4.6835 2025-05-06 02:29:33,723 - pyskl - INFO - Epoch [148][500/523] lr: 2.554e-02, eta: 10:09:14, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7609, top5_acc: 0.9525, loss_cls: 4.6374, loss: 4.6374 2025-05-06 02:29:44,054 - pyskl - INFO - Saving checkpoint at 148 epochs 2025-05-06 02:30:12,760 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:30:12,832 - pyskl - INFO - top1_acc 0.3455 top5_acc 0.5586 2025-05-06 02:30:12,832 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:30:12,841 - pyskl - INFO - mean_acc 0.3452 2025-05-06 02:30:12,906 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_116.pth was removed 2025-05-06 02:30:14,498 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_148.pth. 2025-05-06 02:30:14,500 - pyskl - INFO - Best top1_acc is 0.3455 at 148 epoch. 2025-05-06 02:30:14,502 - pyskl - INFO - Epoch(val) [148][198] top1_acc: 0.3455, top5_acc: 0.5586, mean_class_accuracy: 0.3452 2025-05-06 02:31:22,747 - pyskl - INFO - Epoch [149][100/523] lr: 2.547e-02, eta: 10:08:29, time: 0.682, data_time: 0.256, memory: 7964, top1_acc: 0.8181, top5_acc: 0.9697, loss_cls: 4.1967, loss: 4.1967 2025-05-06 02:32:05,761 - pyskl - INFO - Epoch [149][200/523] lr: 2.542e-02, eta: 10:07:40, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7891, top5_acc: 0.9641, loss_cls: 4.5136, loss: 4.5136 2025-05-06 02:32:48,538 - pyskl - INFO - Epoch [149][300/523] lr: 2.537e-02, eta: 10:06:51, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.7653, top5_acc: 0.9575, loss_cls: 4.6092, loss: 4.6092 2025-05-06 02:33:31,051 - pyskl - INFO - Epoch [149][400/523] lr: 2.532e-02, eta: 10:06:02, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.7653, top5_acc: 0.9566, loss_cls: 4.6027, loss: 4.6027 2025-05-06 02:34:13,760 - pyskl - INFO - Epoch [149][500/523] lr: 2.527e-02, eta: 10:05:12, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.7828, top5_acc: 0.9631, loss_cls: 4.6031, loss: 4.6031 2025-05-06 02:34:24,053 - pyskl - INFO - Saving checkpoint at 149 epochs 2025-05-06 02:34:52,778 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:34:52,846 - pyskl - INFO - top1_acc 0.3338 top5_acc 0.5575 2025-05-06 02:34:52,847 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:34:52,853 - pyskl - INFO - mean_acc 0.3325 2025-05-06 02:34:52,855 - pyskl - INFO - Epoch(val) [149][198] top1_acc: 0.3338, top5_acc: 0.5575, mean_class_accuracy: 0.3325 2025-05-06 02:36:03,164 - pyskl - INFO - Epoch [150][100/523] lr: 2.521e-02, eta: 10:04:30, time: 0.703, data_time: 0.268, memory: 7964, top1_acc: 0.8131, top5_acc: 0.9719, loss_cls: 4.3682, loss: 4.3682 2025-05-06 02:36:46,695 - pyskl - INFO - Epoch [150][200/523] lr: 2.516e-02, eta: 10:03:41, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7884, top5_acc: 0.9628, loss_cls: 4.3982, loss: 4.3982 2025-05-06 02:37:30,304 - pyskl - INFO - Epoch [150][300/523] lr: 2.511e-02, eta: 10:02:53, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7788, top5_acc: 0.9622, loss_cls: 4.6504, loss: 4.6504 2025-05-06 02:38:14,271 - pyskl - INFO - Epoch [150][400/523] lr: 2.506e-02, eta: 10:02:05, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7934, top5_acc: 0.9678, loss_cls: 4.5080, loss: 4.5080 2025-05-06 02:38:56,842 - pyskl - INFO - Epoch [150][500/523] lr: 2.501e-02, eta: 10:01:16, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.7675, top5_acc: 0.9544, loss_cls: 4.5312, loss: 4.5312 2025-05-06 02:39:07,138 - pyskl - INFO - Saving checkpoint at 150 epochs 2025-05-06 02:39:35,788 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:39:35,857 - pyskl - INFO - top1_acc 0.3442 top5_acc 0.5705 2025-05-06 02:39:35,858 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:39:35,867 - pyskl - INFO - mean_acc 0.3437 2025-05-06 02:39:35,870 - pyskl - INFO - Epoch(val) [150][198] top1_acc: 0.3442, top5_acc: 0.5705, mean_class_accuracy: 0.3437 2025-05-06 02:40:45,123 - pyskl - INFO - Epoch [151][100/523] lr: 2.495e-02, eta: 10:00:32, time: 0.692, data_time: 0.260, memory: 7964, top1_acc: 0.8047, top5_acc: 0.9663, loss_cls: 4.2794, loss: 4.2794 2025-05-06 02:41:28,120 - pyskl - INFO - Epoch [151][200/523] lr: 2.490e-02, eta: 9:59:43, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7913, top5_acc: 0.9675, loss_cls: 4.4708, loss: 4.4708 2025-05-06 02:42:11,528 - pyskl - INFO - Epoch [151][300/523] lr: 2.485e-02, eta: 9:58:54, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8000, top5_acc: 0.9663, loss_cls: 4.4153, loss: 4.4153 2025-05-06 02:42:54,613 - pyskl - INFO - Epoch [151][400/523] lr: 2.480e-02, eta: 9:58:05, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7909, top5_acc: 0.9606, loss_cls: 4.4546, loss: 4.4546 2025-05-06 02:43:37,548 - pyskl - INFO - Epoch [151][500/523] lr: 2.475e-02, eta: 9:57:16, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7859, top5_acc: 0.9625, loss_cls: 4.5605, loss: 4.5605 2025-05-06 02:43:47,928 - pyskl - INFO - Saving checkpoint at 151 epochs 2025-05-06 02:44:16,386 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:44:16,454 - pyskl - INFO - top1_acc 0.3309 top5_acc 0.5622 2025-05-06 02:44:16,455 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:44:16,461 - pyskl - INFO - mean_acc 0.3323 2025-05-06 02:44:16,463 - pyskl - INFO - Epoch(val) [151][198] top1_acc: 0.3309, top5_acc: 0.5622, mean_class_accuracy: 0.3323 2025-05-06 02:45:25,305 - pyskl - INFO - Epoch [152][100/523] lr: 2.469e-02, eta: 9:56:32, time: 0.688, data_time: 0.260, memory: 7964, top1_acc: 0.8231, top5_acc: 0.9716, loss_cls: 4.3268, loss: 4.3268 2025-05-06 02:46:09,083 - pyskl - INFO - Epoch [152][200/523] lr: 2.464e-02, eta: 9:55:44, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8134, top5_acc: 0.9691, loss_cls: 4.2393, loss: 4.2393 2025-05-06 02:46:52,185 - pyskl - INFO - Epoch [152][300/523] lr: 2.459e-02, eta: 9:54:55, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7947, top5_acc: 0.9663, loss_cls: 4.4498, loss: 4.4498 2025-05-06 02:47:35,218 - pyskl - INFO - Epoch [152][400/523] lr: 2.454e-02, eta: 9:54:06, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7825, top5_acc: 0.9600, loss_cls: 4.5608, loss: 4.5608 2025-05-06 02:48:18,145 - pyskl - INFO - Epoch [152][500/523] lr: 2.449e-02, eta: 9:53:17, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7741, top5_acc: 0.9622, loss_cls: 4.5598, loss: 4.5598 2025-05-06 02:48:28,422 - pyskl - INFO - Saving checkpoint at 152 epochs 2025-05-06 02:48:57,240 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:48:57,311 - pyskl - INFO - top1_acc 0.3409 top5_acc 0.5638 2025-05-06 02:48:57,311 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:48:57,320 - pyskl - INFO - mean_acc 0.3405 2025-05-06 02:48:57,322 - pyskl - INFO - Epoch(val) [152][198] top1_acc: 0.3409, top5_acc: 0.5638, mean_class_accuracy: 0.3405 2025-05-06 02:50:06,649 - pyskl - INFO - Epoch [153][100/523] lr: 2.443e-02, eta: 9:52:33, time: 0.693, data_time: 0.260, memory: 7964, top1_acc: 0.8119, top5_acc: 0.9728, loss_cls: 4.3111, loss: 4.3111 2025-05-06 02:50:50,274 - pyskl - INFO - Epoch [153][200/523] lr: 2.438e-02, eta: 9:51:45, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8163, top5_acc: 0.9756, loss_cls: 4.3208, loss: 4.3208 2025-05-06 02:51:33,427 - pyskl - INFO - Epoch [153][300/523] lr: 2.433e-02, eta: 9:50:56, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7900, top5_acc: 0.9600, loss_cls: 4.4308, loss: 4.4308 2025-05-06 02:52:16,582 - pyskl - INFO - Epoch [153][400/523] lr: 2.428e-02, eta: 9:50:07, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7875, top5_acc: 0.9647, loss_cls: 4.5012, loss: 4.5012 2025-05-06 02:52:59,704 - pyskl - INFO - Epoch [153][500/523] lr: 2.423e-02, eta: 9:49:18, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7688, top5_acc: 0.9544, loss_cls: 4.6079, loss: 4.6079 2025-05-06 02:53:09,962 - pyskl - INFO - Saving checkpoint at 153 epochs 2025-05-06 02:53:39,124 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:53:39,196 - pyskl - INFO - top1_acc 0.3328 top5_acc 0.5488 2025-05-06 02:53:39,196 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:53:39,205 - pyskl - INFO - mean_acc 0.3336 2025-05-06 02:53:39,208 - pyskl - INFO - Epoch(val) [153][198] top1_acc: 0.3328, top5_acc: 0.5488, mean_class_accuracy: 0.3336 2025-05-06 02:54:47,461 - pyskl - INFO - Epoch [154][100/523] lr: 2.417e-02, eta: 9:48:33, time: 0.682, data_time: 0.260, memory: 7964, top1_acc: 0.8122, top5_acc: 0.9728, loss_cls: 4.3118, loss: 4.3118 2025-05-06 02:55:29,906 - pyskl - INFO - Epoch [154][200/523] lr: 2.412e-02, eta: 9:47:44, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.7972, top5_acc: 0.9684, loss_cls: 4.4509, loss: 4.4509 2025-05-06 02:56:13,921 - pyskl - INFO - Epoch [154][300/523] lr: 2.407e-02, eta: 9:46:56, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7987, top5_acc: 0.9666, loss_cls: 4.5375, loss: 4.5375 2025-05-06 02:56:57,491 - pyskl - INFO - Epoch [154][400/523] lr: 2.402e-02, eta: 9:46:08, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7937, top5_acc: 0.9663, loss_cls: 4.4587, loss: 4.4587 2025-05-06 02:57:39,568 - pyskl - INFO - Epoch [154][500/523] lr: 2.397e-02, eta: 9:45:18, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.7913, top5_acc: 0.9625, loss_cls: 4.4636, loss: 4.4636 2025-05-06 02:57:49,822 - pyskl - INFO - Saving checkpoint at 154 epochs 2025-05-06 02:58:18,473 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 02:58:18,544 - pyskl - INFO - top1_acc 0.3371 top5_acc 0.5580 2025-05-06 02:58:18,544 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 02:58:18,553 - pyskl - INFO - mean_acc 0.3379 2025-05-06 02:58:18,555 - pyskl - INFO - Epoch(val) [154][198] top1_acc: 0.3371, top5_acc: 0.5580, mean_class_accuracy: 0.3379 2025-05-06 02:59:28,850 - pyskl - INFO - Epoch [155][100/523] lr: 2.390e-02, eta: 9:44:34, time: 0.703, data_time: 0.258, memory: 7964, top1_acc: 0.8450, top5_acc: 0.9772, loss_cls: 4.2202, loss: 4.2202 2025-05-06 03:00:12,430 - pyskl - INFO - Epoch [155][200/523] lr: 2.385e-02, eta: 9:43:46, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8119, top5_acc: 0.9725, loss_cls: 4.3387, loss: 4.3387 2025-05-06 03:00:54,879 - pyskl - INFO - Epoch [155][300/523] lr: 2.380e-02, eta: 9:42:57, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.8053, top5_acc: 0.9697, loss_cls: 4.4243, loss: 4.4243 2025-05-06 03:01:37,544 - pyskl - INFO - Epoch [155][400/523] lr: 2.375e-02, eta: 9:42:08, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.7909, top5_acc: 0.9644, loss_cls: 4.4051, loss: 4.4051 2025-05-06 03:02:19,610 - pyskl - INFO - Epoch [155][500/523] lr: 2.370e-02, eta: 9:41:18, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.7800, top5_acc: 0.9544, loss_cls: 4.5130, loss: 4.5130 2025-05-06 03:02:29,903 - pyskl - INFO - Saving checkpoint at 155 epochs 2025-05-06 03:02:58,419 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:02:58,489 - pyskl - INFO - top1_acc 0.3200 top5_acc 0.5470 2025-05-06 03:02:58,489 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:02:58,497 - pyskl - INFO - mean_acc 0.3189 2025-05-06 03:02:58,498 - pyskl - INFO - Epoch(val) [155][198] top1_acc: 0.3200, top5_acc: 0.5470, mean_class_accuracy: 0.3189 2025-05-06 03:04:09,063 - pyskl - INFO - Epoch [156][100/523] lr: 2.364e-02, eta: 9:40:34, time: 0.706, data_time: 0.265, memory: 7964, top1_acc: 0.8097, top5_acc: 0.9750, loss_cls: 4.3715, loss: 4.3715 2025-05-06 03:04:52,703 - pyskl - INFO - Epoch [156][200/523] lr: 2.359e-02, eta: 9:39:46, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8225, top5_acc: 0.9722, loss_cls: 4.2443, loss: 4.2443 2025-05-06 03:05:36,158 - pyskl - INFO - Epoch [156][300/523] lr: 2.354e-02, eta: 9:38:58, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8063, top5_acc: 0.9722, loss_cls: 4.3329, loss: 4.3329 2025-05-06 03:06:19,724 - pyskl - INFO - Epoch [156][400/523] lr: 2.349e-02, eta: 9:38:10, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7850, top5_acc: 0.9597, loss_cls: 4.5431, loss: 4.5431 2025-05-06 03:07:03,197 - pyskl - INFO - Epoch [156][500/523] lr: 2.344e-02, eta: 9:37:21, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7875, top5_acc: 0.9634, loss_cls: 4.4887, loss: 4.4887 2025-05-06 03:07:13,683 - pyskl - INFO - Saving checkpoint at 156 epochs 2025-05-06 03:07:42,622 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:07:42,691 - pyskl - INFO - top1_acc 0.3396 top5_acc 0.5445 2025-05-06 03:07:42,691 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:07:42,699 - pyskl - INFO - mean_acc 0.3388 2025-05-06 03:07:42,701 - pyskl - INFO - Epoch(val) [156][198] top1_acc: 0.3396, top5_acc: 0.5445, mean_class_accuracy: 0.3388 2025-05-06 03:08:52,948 - pyskl - INFO - Epoch [157][100/523] lr: 2.338e-02, eta: 9:36:37, time: 0.702, data_time: 0.268, memory: 7964, top1_acc: 0.8431, top5_acc: 0.9800, loss_cls: 4.2570, loss: 4.2570 2025-05-06 03:09:35,877 - pyskl - INFO - Epoch [157][200/523] lr: 2.333e-02, eta: 9:35:49, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.8194, top5_acc: 0.9712, loss_cls: 4.3286, loss: 4.3286 2025-05-06 03:10:19,683 - pyskl - INFO - Epoch [157][300/523] lr: 2.328e-02, eta: 9:35:01, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8144, top5_acc: 0.9656, loss_cls: 4.3003, loss: 4.3003 2025-05-06 03:11:03,337 - pyskl - INFO - Epoch [157][400/523] lr: 2.323e-02, eta: 9:34:12, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7931, top5_acc: 0.9772, loss_cls: 4.3789, loss: 4.3789 2025-05-06 03:11:46,585 - pyskl - INFO - Epoch [157][500/523] lr: 2.318e-02, eta: 9:33:24, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7869, top5_acc: 0.9650, loss_cls: 4.5327, loss: 4.5327 2025-05-06 03:11:57,045 - pyskl - INFO - Saving checkpoint at 157 epochs 2025-05-06 03:12:25,725 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:12:25,794 - pyskl - INFO - top1_acc 0.3428 top5_acc 0.5625 2025-05-06 03:12:25,795 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:12:25,803 - pyskl - INFO - mean_acc 0.3431 2025-05-06 03:12:25,805 - pyskl - INFO - Epoch(val) [157][198] top1_acc: 0.3428, top5_acc: 0.5625, mean_class_accuracy: 0.3431 2025-05-06 03:13:35,816 - pyskl - INFO - Epoch [158][100/523] lr: 2.312e-02, eta: 9:32:40, time: 0.700, data_time: 0.268, memory: 7964, top1_acc: 0.8300, top5_acc: 0.9741, loss_cls: 4.2421, loss: 4.2421 2025-05-06 03:14:19,357 - pyskl - INFO - Epoch [158][200/523] lr: 2.307e-02, eta: 9:31:51, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8125, top5_acc: 0.9709, loss_cls: 4.2814, loss: 4.2814 2025-05-06 03:15:02,596 - pyskl - INFO - Epoch [158][300/523] lr: 2.302e-02, eta: 9:31:03, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8028, top5_acc: 0.9712, loss_cls: 4.3682, loss: 4.3682 2025-05-06 03:15:46,417 - pyskl - INFO - Epoch [158][400/523] lr: 2.297e-02, eta: 9:30:15, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8050, top5_acc: 0.9678, loss_cls: 4.3764, loss: 4.3764 2025-05-06 03:16:30,112 - pyskl - INFO - Epoch [158][500/523] lr: 2.292e-02, eta: 9:29:27, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7872, top5_acc: 0.9656, loss_cls: 4.5124, loss: 4.5124 2025-05-06 03:16:40,900 - pyskl - INFO - Saving checkpoint at 158 epochs 2025-05-06 03:17:09,376 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:17:09,445 - pyskl - INFO - top1_acc 0.3514 top5_acc 0.5675 2025-05-06 03:17:09,445 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:17:09,452 - pyskl - INFO - mean_acc 0.3505 2025-05-06 03:17:09,514 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_148.pth was removed 2025-05-06 03:17:11,043 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_158.pth. 2025-05-06 03:17:11,045 - pyskl - INFO - Best top1_acc is 0.3514 at 158 epoch. 2025-05-06 03:17:11,047 - pyskl - INFO - Epoch(val) [158][198] top1_acc: 0.3514, top5_acc: 0.5675, mean_class_accuracy: 0.3505 2025-05-06 03:18:19,343 - pyskl - INFO - Epoch [159][100/523] lr: 2.286e-02, eta: 9:28:41, time: 0.683, data_time: 0.260, memory: 7964, top1_acc: 0.8337, top5_acc: 0.9819, loss_cls: 4.1565, loss: 4.1565 2025-05-06 03:19:02,367 - pyskl - INFO - Epoch [159][200/523] lr: 2.281e-02, eta: 9:27:52, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.8353, top5_acc: 0.9778, loss_cls: 4.2588, loss: 4.2588 2025-05-06 03:19:45,101 - pyskl - INFO - Epoch [159][300/523] lr: 2.276e-02, eta: 9:27:03, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.8191, top5_acc: 0.9684, loss_cls: 4.3359, loss: 4.3359 2025-05-06 03:20:29,057 - pyskl - INFO - Epoch [159][400/523] lr: 2.271e-02, eta: 9:26:15, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8019, top5_acc: 0.9675, loss_cls: 4.3317, loss: 4.3317 2025-05-06 03:21:12,634 - pyskl - INFO - Epoch [159][500/523] lr: 2.266e-02, eta: 9:25:27, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7881, top5_acc: 0.9594, loss_cls: 4.4776, loss: 4.4776 2025-05-06 03:21:23,348 - pyskl - INFO - Saving checkpoint at 159 epochs 2025-05-06 03:21:52,010 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:21:52,078 - pyskl - INFO - top1_acc 0.3541 top5_acc 0.5724 2025-05-06 03:21:52,078 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:21:52,084 - pyskl - INFO - mean_acc 0.3536 2025-05-06 03:21:52,144 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_158.pth was removed 2025-05-06 03:21:53,666 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_159.pth. 2025-05-06 03:21:53,668 - pyskl - INFO - Best top1_acc is 0.3541 at 159 epoch. 2025-05-06 03:21:53,671 - pyskl - INFO - Epoch(val) [159][198] top1_acc: 0.3541, top5_acc: 0.5724, mean_class_accuracy: 0.3536 2025-05-06 03:23:02,641 - pyskl - INFO - Epoch [160][100/523] lr: 2.260e-02, eta: 9:24:42, time: 0.690, data_time: 0.255, memory: 7964, top1_acc: 0.8516, top5_acc: 0.9806, loss_cls: 4.1725, loss: 4.1725 2025-05-06 03:23:45,668 - pyskl - INFO - Epoch [160][200/523] lr: 2.255e-02, eta: 9:23:53, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.8263, top5_acc: 0.9744, loss_cls: 4.1634, loss: 4.1634 2025-05-06 03:24:29,198 - pyskl - INFO - Epoch [160][300/523] lr: 2.250e-02, eta: 9:23:05, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8231, top5_acc: 0.9762, loss_cls: 4.3520, loss: 4.3520 2025-05-06 03:25:12,406 - pyskl - INFO - Epoch [160][400/523] lr: 2.245e-02, eta: 9:22:16, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8197, top5_acc: 0.9784, loss_cls: 4.2030, loss: 4.2030 2025-05-06 03:25:54,245 - pyskl - INFO - Epoch [160][500/523] lr: 2.240e-02, eta: 9:21:27, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.7950, top5_acc: 0.9712, loss_cls: 4.4970, loss: 4.4970 2025-05-06 03:26:04,536 - pyskl - INFO - Saving checkpoint at 160 epochs 2025-05-06 03:26:33,082 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:26:33,150 - pyskl - INFO - top1_acc 0.3450 top5_acc 0.5736 2025-05-06 03:26:33,150 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:26:33,158 - pyskl - INFO - mean_acc 0.3437 2025-05-06 03:26:33,159 - pyskl - INFO - Epoch(val) [160][198] top1_acc: 0.3450, top5_acc: 0.5736, mean_class_accuracy: 0.3437 2025-05-06 03:27:41,821 - pyskl - INFO - Epoch [161][100/523] lr: 2.234e-02, eta: 9:20:41, time: 0.687, data_time: 0.265, memory: 7964, top1_acc: 0.8444, top5_acc: 0.9841, loss_cls: 3.9948, loss: 3.9948 2025-05-06 03:28:24,360 - pyskl - INFO - Epoch [161][200/523] lr: 2.229e-02, eta: 9:19:52, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.8331, top5_acc: 0.9750, loss_cls: 4.1573, loss: 4.1573 2025-05-06 03:29:06,256 - pyskl - INFO - Epoch [161][300/523] lr: 2.224e-02, eta: 9:19:02, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.8169, top5_acc: 0.9772, loss_cls: 4.2505, loss: 4.2505 2025-05-06 03:29:48,162 - pyskl - INFO - Epoch [161][400/523] lr: 2.219e-02, eta: 9:18:13, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.8063, top5_acc: 0.9697, loss_cls: 4.3385, loss: 4.3385 2025-05-06 03:30:30,690 - pyskl - INFO - Epoch [161][500/523] lr: 2.214e-02, eta: 9:17:24, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.7937, top5_acc: 0.9666, loss_cls: 4.3576, loss: 4.3576 2025-05-06 03:30:41,040 - pyskl - INFO - Saving checkpoint at 161 epochs 2025-05-06 03:31:09,481 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:31:09,548 - pyskl - INFO - top1_acc 0.3442 top5_acc 0.5600 2025-05-06 03:31:09,549 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:31:09,556 - pyskl - INFO - mean_acc 0.3442 2025-05-06 03:31:09,557 - pyskl - INFO - Epoch(val) [161][198] top1_acc: 0.3442, top5_acc: 0.5600, mean_class_accuracy: 0.3442 2025-05-06 03:32:17,521 - pyskl - INFO - Epoch [162][100/523] lr: 2.208e-02, eta: 9:16:37, time: 0.680, data_time: 0.259, memory: 7964, top1_acc: 0.8534, top5_acc: 0.9797, loss_cls: 4.0724, loss: 4.0724 2025-05-06 03:32:59,781 - pyskl - INFO - Epoch [162][200/523] lr: 2.203e-02, eta: 9:15:48, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.8341, top5_acc: 0.9778, loss_cls: 4.0884, loss: 4.0884 2025-05-06 03:33:43,114 - pyskl - INFO - Epoch [162][300/523] lr: 2.198e-02, eta: 9:14:59, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.8106, top5_acc: 0.9706, loss_cls: 4.2695, loss: 4.2695 2025-05-06 03:34:26,358 - pyskl - INFO - Epoch [162][400/523] lr: 2.193e-02, eta: 9:14:11, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8172, top5_acc: 0.9738, loss_cls: 4.3654, loss: 4.3654 2025-05-06 03:35:10,232 - pyskl - INFO - Epoch [162][500/523] lr: 2.188e-02, eta: 9:13:23, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8237, top5_acc: 0.9703, loss_cls: 4.3501, loss: 4.3501 2025-05-06 03:35:20,930 - pyskl - INFO - Saving checkpoint at 162 epochs 2025-05-06 03:35:49,258 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:35:49,327 - pyskl - INFO - top1_acc 0.3363 top5_acc 0.5553 2025-05-06 03:35:49,327 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:35:49,334 - pyskl - INFO - mean_acc 0.3343 2025-05-06 03:35:49,335 - pyskl - INFO - Epoch(val) [162][198] top1_acc: 0.3363, top5_acc: 0.5553, mean_class_accuracy: 0.3343 2025-05-06 03:36:57,666 - pyskl - INFO - Epoch [163][100/523] lr: 2.182e-02, eta: 9:12:37, time: 0.683, data_time: 0.259, memory: 7964, top1_acc: 0.8447, top5_acc: 0.9825, loss_cls: 4.2011, loss: 4.2011 2025-05-06 03:37:41,346 - pyskl - INFO - Epoch [163][200/523] lr: 2.177e-02, eta: 9:11:49, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.8372, top5_acc: 0.9759, loss_cls: 4.1922, loss: 4.1922 2025-05-06 03:38:24,858 - pyskl - INFO - Epoch [163][300/523] lr: 2.172e-02, eta: 9:11:00, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8247, top5_acc: 0.9788, loss_cls: 4.1433, loss: 4.1433 2025-05-06 03:39:08,132 - pyskl - INFO - Epoch [163][400/523] lr: 2.167e-02, eta: 9:10:12, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.8137, top5_acc: 0.9753, loss_cls: 4.2517, loss: 4.2517 2025-05-06 03:39:51,358 - pyskl - INFO - Epoch [163][500/523] lr: 2.162e-02, eta: 9:09:24, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8069, top5_acc: 0.9650, loss_cls: 4.3706, loss: 4.3706 2025-05-06 03:40:01,962 - pyskl - INFO - Saving checkpoint at 163 epochs 2025-05-06 03:40:30,192 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:40:30,261 - pyskl - INFO - top1_acc 0.3477 top5_acc 0.5717 2025-05-06 03:40:30,262 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:40:30,269 - pyskl - INFO - mean_acc 0.3468 2025-05-06 03:40:30,270 - pyskl - INFO - Epoch(val) [163][198] top1_acc: 0.3477, top5_acc: 0.5717, mean_class_accuracy: 0.3468 2025-05-06 03:41:39,229 - pyskl - INFO - Epoch [164][100/523] lr: 2.156e-02, eta: 9:08:38, time: 0.690, data_time: 0.263, memory: 7964, top1_acc: 0.8472, top5_acc: 0.9834, loss_cls: 4.1051, loss: 4.1051 2025-05-06 03:42:22,318 - pyskl - INFO - Epoch [164][200/523] lr: 2.151e-02, eta: 9:07:49, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8259, top5_acc: 0.9738, loss_cls: 4.2811, loss: 4.2811 2025-05-06 03:43:05,905 - pyskl - INFO - Epoch [164][300/523] lr: 2.146e-02, eta: 9:07:01, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8475, top5_acc: 0.9778, loss_cls: 4.0823, loss: 4.0823 2025-05-06 03:43:49,415 - pyskl - INFO - Epoch [164][400/523] lr: 2.141e-02, eta: 9:06:13, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8209, top5_acc: 0.9772, loss_cls: 4.2478, loss: 4.2478 2025-05-06 03:44:32,081 - pyskl - INFO - Epoch [164][500/523] lr: 2.136e-02, eta: 9:05:24, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.8050, top5_acc: 0.9762, loss_cls: 4.3749, loss: 4.3749 2025-05-06 03:44:42,943 - pyskl - INFO - Saving checkpoint at 164 epochs 2025-05-06 03:45:11,407 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:45:11,476 - pyskl - INFO - top1_acc 0.3304 top5_acc 0.5475 2025-05-06 03:45:11,476 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:45:11,484 - pyskl - INFO - mean_acc 0.3318 2025-05-06 03:45:11,485 - pyskl - INFO - Epoch(val) [164][198] top1_acc: 0.3304, top5_acc: 0.5475, mean_class_accuracy: 0.3318 2025-05-06 03:46:20,543 - pyskl - INFO - Epoch [165][100/523] lr: 2.130e-02, eta: 9:04:38, time: 0.690, data_time: 0.264, memory: 7964, top1_acc: 0.8694, top5_acc: 0.9853, loss_cls: 4.0142, loss: 4.0142 2025-05-06 03:47:04,405 - pyskl - INFO - Epoch [165][200/523] lr: 2.125e-02, eta: 9:03:50, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8416, top5_acc: 0.9775, loss_cls: 4.1877, loss: 4.1877 2025-05-06 03:47:47,711 - pyskl - INFO - Epoch [165][300/523] lr: 2.120e-02, eta: 9:03:02, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.8275, top5_acc: 0.9769, loss_cls: 4.2269, loss: 4.2269 2025-05-06 03:48:30,905 - pyskl - INFO - Epoch [165][400/523] lr: 2.115e-02, eta: 9:02:14, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8350, top5_acc: 0.9775, loss_cls: 4.1886, loss: 4.1886 2025-05-06 03:49:14,086 - pyskl - INFO - Epoch [165][500/523] lr: 2.110e-02, eta: 9:01:25, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8053, top5_acc: 0.9694, loss_cls: 4.4014, loss: 4.4014 2025-05-06 03:49:24,685 - pyskl - INFO - Saving checkpoint at 165 epochs 2025-05-06 03:49:53,020 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:49:53,089 - pyskl - INFO - top1_acc 0.3488 top5_acc 0.5692 2025-05-06 03:49:53,089 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:49:53,097 - pyskl - INFO - mean_acc 0.3486 2025-05-06 03:49:53,098 - pyskl - INFO - Epoch(val) [165][198] top1_acc: 0.3488, top5_acc: 0.5692, mean_class_accuracy: 0.3486 2025-05-06 03:51:01,478 - pyskl - INFO - Epoch [166][100/523] lr: 2.104e-02, eta: 9:00:39, time: 0.684, data_time: 0.263, memory: 7964, top1_acc: 0.8559, top5_acc: 0.9862, loss_cls: 4.0240, loss: 4.0240 2025-05-06 03:51:44,649 - pyskl - INFO - Epoch [166][200/523] lr: 2.099e-02, eta: 8:59:50, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8438, top5_acc: 0.9841, loss_cls: 4.0572, loss: 4.0572 2025-05-06 03:52:28,297 - pyskl - INFO - Epoch [166][300/523] lr: 2.094e-02, eta: 8:59:02, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8381, top5_acc: 0.9753, loss_cls: 4.1368, loss: 4.1368 2025-05-06 03:53:11,943 - pyskl - INFO - Epoch [166][400/523] lr: 2.089e-02, eta: 8:58:14, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8122, top5_acc: 0.9734, loss_cls: 4.3049, loss: 4.3049 2025-05-06 03:53:55,474 - pyskl - INFO - Epoch [166][500/523] lr: 2.084e-02, eta: 8:57:26, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8281, top5_acc: 0.9766, loss_cls: 4.2743, loss: 4.2743 2025-05-06 03:54:06,213 - pyskl - INFO - Saving checkpoint at 166 epochs 2025-05-06 03:54:34,438 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:54:34,506 - pyskl - INFO - top1_acc 0.3412 top5_acc 0.5551 2025-05-06 03:54:34,506 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:54:34,513 - pyskl - INFO - mean_acc 0.3425 2025-05-06 03:54:34,514 - pyskl - INFO - Epoch(val) [166][198] top1_acc: 0.3412, top5_acc: 0.5551, mean_class_accuracy: 0.3425 2025-05-06 03:55:42,592 - pyskl - INFO - Epoch [167][100/523] lr: 2.078e-02, eta: 8:56:39, time: 0.681, data_time: 0.261, memory: 7964, top1_acc: 0.8659, top5_acc: 0.9847, loss_cls: 3.9099, loss: 3.9099 2025-05-06 03:56:24,844 - pyskl - INFO - Epoch [167][200/523] lr: 2.073e-02, eta: 8:55:50, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.8409, top5_acc: 0.9753, loss_cls: 4.1274, loss: 4.1274 2025-05-06 03:57:07,192 - pyskl - INFO - Epoch [167][300/523] lr: 2.068e-02, eta: 8:55:01, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.8413, top5_acc: 0.9809, loss_cls: 4.1044, loss: 4.1044 2025-05-06 03:57:49,890 - pyskl - INFO - Epoch [167][400/523] lr: 2.063e-02, eta: 8:54:12, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.8269, top5_acc: 0.9750, loss_cls: 4.1883, loss: 4.1883 2025-05-06 03:58:32,527 - pyskl - INFO - Epoch [167][500/523] lr: 2.058e-02, eta: 8:53:24, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.8300, top5_acc: 0.9756, loss_cls: 4.1956, loss: 4.1956 2025-05-06 03:58:43,210 - pyskl - INFO - Saving checkpoint at 167 epochs 2025-05-06 03:59:11,433 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 03:59:11,502 - pyskl - INFO - top1_acc 0.3593 top5_acc 0.5754 2025-05-06 03:59:11,503 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 03:59:11,510 - pyskl - INFO - mean_acc 0.3592 2025-05-06 03:59:11,571 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_159.pth was removed 2025-05-06 03:59:13,109 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_167.pth. 2025-05-06 03:59:13,111 - pyskl - INFO - Best top1_acc is 0.3593 at 167 epoch. 2025-05-06 03:59:13,114 - pyskl - INFO - Epoch(val) [167][198] top1_acc: 0.3593, top5_acc: 0.5754, mean_class_accuracy: 0.3592 2025-05-06 04:00:21,168 - pyskl - INFO - Epoch [168][100/523] lr: 2.052e-02, eta: 8:52:36, time: 0.680, data_time: 0.259, memory: 7964, top1_acc: 0.8644, top5_acc: 0.9816, loss_cls: 4.0408, loss: 4.0408 2025-05-06 04:01:04,246 - pyskl - INFO - Epoch [168][200/523] lr: 2.047e-02, eta: 8:51:48, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8628, top5_acc: 0.9853, loss_cls: 3.9349, loss: 3.9349 2025-05-06 04:01:47,306 - pyskl - INFO - Epoch [168][300/523] lr: 2.043e-02, eta: 8:51:00, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8509, top5_acc: 0.9816, loss_cls: 4.1833, loss: 4.1833 2025-05-06 04:02:30,331 - pyskl - INFO - Epoch [168][400/523] lr: 2.038e-02, eta: 8:50:11, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.8322, top5_acc: 0.9738, loss_cls: 4.2370, loss: 4.2370 2025-05-06 04:03:12,358 - pyskl - INFO - Epoch [168][500/523] lr: 2.033e-02, eta: 8:49:22, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.8234, top5_acc: 0.9709, loss_cls: 4.3653, loss: 4.3653 2025-05-06 04:03:22,648 - pyskl - INFO - Saving checkpoint at 168 epochs 2025-05-06 04:03:50,839 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:03:50,908 - pyskl - INFO - top1_acc 0.3463 top5_acc 0.5670 2025-05-06 04:03:50,908 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:03:50,915 - pyskl - INFO - mean_acc 0.3451 2025-05-06 04:03:50,916 - pyskl - INFO - Epoch(val) [168][198] top1_acc: 0.3463, top5_acc: 0.5670, mean_class_accuracy: 0.3451 2025-05-06 04:04:59,740 - pyskl - INFO - Epoch [169][100/523] lr: 2.027e-02, eta: 8:48:35, time: 0.688, data_time: 0.259, memory: 7964, top1_acc: 0.8747, top5_acc: 0.9856, loss_cls: 3.9343, loss: 3.9343 2025-05-06 04:05:42,344 - pyskl - INFO - Epoch [169][200/523] lr: 2.022e-02, eta: 8:47:47, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.8553, top5_acc: 0.9822, loss_cls: 3.9431, loss: 3.9431 2025-05-06 04:06:24,183 - pyskl - INFO - Epoch [169][300/523] lr: 2.017e-02, eta: 8:46:57, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.8347, top5_acc: 0.9803, loss_cls: 4.2557, loss: 4.2557 2025-05-06 04:07:06,195 - pyskl - INFO - Epoch [169][400/523] lr: 2.012e-02, eta: 8:46:08, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.8366, top5_acc: 0.9797, loss_cls: 4.2566, loss: 4.2566 2025-05-06 04:07:48,639 - pyskl - INFO - Epoch [169][500/523] lr: 2.007e-02, eta: 8:45:19, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.8375, top5_acc: 0.9800, loss_cls: 4.1961, loss: 4.1961 2025-05-06 04:07:59,282 - pyskl - INFO - Saving checkpoint at 169 epochs 2025-05-06 04:08:27,948 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:08:28,016 - pyskl - INFO - top1_acc 0.3396 top5_acc 0.5608 2025-05-06 04:08:28,016 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:08:28,023 - pyskl - INFO - mean_acc 0.3409 2025-05-06 04:08:28,025 - pyskl - INFO - Epoch(val) [169][198] top1_acc: 0.3396, top5_acc: 0.5608, mean_class_accuracy: 0.3409 2025-05-06 04:09:36,520 - pyskl - INFO - Epoch [170][100/523] lr: 2.001e-02, eta: 8:44:32, time: 0.685, data_time: 0.257, memory: 7964, top1_acc: 0.8788, top5_acc: 0.9875, loss_cls: 3.9190, loss: 3.9190 2025-05-06 04:10:19,350 - pyskl - INFO - Epoch [170][200/523] lr: 1.996e-02, eta: 8:43:44, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.8594, top5_acc: 0.9847, loss_cls: 4.0391, loss: 4.0391 2025-05-06 04:11:02,386 - pyskl - INFO - Epoch [170][300/523] lr: 1.991e-02, eta: 8:42:55, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.8431, top5_acc: 0.9841, loss_cls: 3.9634, loss: 3.9634 2025-05-06 04:11:45,017 - pyskl - INFO - Epoch [170][400/523] lr: 1.986e-02, eta: 8:42:07, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.8372, top5_acc: 0.9822, loss_cls: 4.1899, loss: 4.1899 2025-05-06 04:12:26,650 - pyskl - INFO - Epoch [170][500/523] lr: 1.981e-02, eta: 8:41:17, time: 0.416, data_time: 0.000, memory: 7964, top1_acc: 0.8137, top5_acc: 0.9728, loss_cls: 4.3391, loss: 4.3391 2025-05-06 04:12:36,882 - pyskl - INFO - Saving checkpoint at 170 epochs 2025-05-06 04:13:05,420 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:13:05,493 - pyskl - INFO - top1_acc 0.3509 top5_acc 0.5711 2025-05-06 04:13:05,493 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:13:05,500 - pyskl - INFO - mean_acc 0.3528 2025-05-06 04:13:05,502 - pyskl - INFO - Epoch(val) [170][198] top1_acc: 0.3509, top5_acc: 0.5711, mean_class_accuracy: 0.3528 2025-05-06 04:14:14,288 - pyskl - INFO - Epoch [171][100/523] lr: 1.975e-02, eta: 8:40:30, time: 0.688, data_time: 0.261, memory: 7964, top1_acc: 0.8612, top5_acc: 0.9869, loss_cls: 3.9353, loss: 3.9353 2025-05-06 04:14:57,568 - pyskl - INFO - Epoch [171][200/523] lr: 1.970e-02, eta: 8:39:42, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.8616, top5_acc: 0.9844, loss_cls: 3.9389, loss: 3.9389 2025-05-06 04:15:40,464 - pyskl - INFO - Epoch [171][300/523] lr: 1.966e-02, eta: 8:38:54, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.8562, top5_acc: 0.9831, loss_cls: 4.1128, loss: 4.1128 2025-05-06 04:16:22,819 - pyskl - INFO - Epoch [171][400/523] lr: 1.961e-02, eta: 8:38:05, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.8447, top5_acc: 0.9841, loss_cls: 4.1196, loss: 4.1196 2025-05-06 04:17:04,801 - pyskl - INFO - Epoch [171][500/523] lr: 1.956e-02, eta: 8:37:16, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.8397, top5_acc: 0.9812, loss_cls: 4.1415, loss: 4.1415 2025-05-06 04:17:15,325 - pyskl - INFO - Saving checkpoint at 171 epochs 2025-05-06 04:17:43,713 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:17:43,782 - pyskl - INFO - top1_acc 0.3491 top5_acc 0.5752 2025-05-06 04:17:43,782 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:17:43,790 - pyskl - INFO - mean_acc 0.3491 2025-05-06 04:17:43,791 - pyskl - INFO - Epoch(val) [171][198] top1_acc: 0.3491, top5_acc: 0.5752, mean_class_accuracy: 0.3491 2025-05-06 04:18:52,069 - pyskl - INFO - Epoch [172][100/523] lr: 1.950e-02, eta: 8:36:28, time: 0.683, data_time: 0.260, memory: 7964, top1_acc: 0.8700, top5_acc: 0.9856, loss_cls: 4.0030, loss: 4.0030 2025-05-06 04:19:34,157 - pyskl - INFO - Epoch [172][200/523] lr: 1.945e-02, eta: 8:35:39, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.8659, top5_acc: 0.9862, loss_cls: 3.9905, loss: 3.9905 2025-05-06 04:20:16,957 - pyskl - INFO - Epoch [172][300/523] lr: 1.940e-02, eta: 8:34:51, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.8603, top5_acc: 0.9853, loss_cls: 4.0852, loss: 4.0852 2025-05-06 04:20:59,927 - pyskl - INFO - Epoch [172][400/523] lr: 1.935e-02, eta: 8:34:03, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.8363, top5_acc: 0.9788, loss_cls: 4.1672, loss: 4.1672 2025-05-06 04:21:43,196 - pyskl - INFO - Epoch [172][500/523] lr: 1.930e-02, eta: 8:33:15, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.8353, top5_acc: 0.9791, loss_cls: 4.2391, loss: 4.2391 2025-05-06 04:21:53,613 - pyskl - INFO - Saving checkpoint at 172 epochs 2025-05-06 04:22:21,992 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:22:22,060 - pyskl - INFO - top1_acc 0.3523 top5_acc 0.5703 2025-05-06 04:22:22,060 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:22:22,067 - pyskl - INFO - mean_acc 0.3530 2025-05-06 04:22:22,069 - pyskl - INFO - Epoch(val) [172][198] top1_acc: 0.3523, top5_acc: 0.5703, mean_class_accuracy: 0.3530 2025-05-06 04:23:30,404 - pyskl - INFO - Epoch [173][100/523] lr: 1.924e-02, eta: 8:32:27, time: 0.683, data_time: 0.261, memory: 7964, top1_acc: 0.8709, top5_acc: 0.9875, loss_cls: 3.9885, loss: 3.9885 2025-05-06 04:24:12,682 - pyskl - INFO - Epoch [173][200/523] lr: 1.919e-02, eta: 8:31:38, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.8738, top5_acc: 0.9844, loss_cls: 3.9270, loss: 3.9270 2025-05-06 04:24:55,623 - pyskl - INFO - Epoch [173][300/523] lr: 1.915e-02, eta: 8:30:50, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.8678, top5_acc: 0.9856, loss_cls: 3.9581, loss: 3.9581 2025-05-06 04:25:39,195 - pyskl - INFO - Epoch [173][400/523] lr: 1.910e-02, eta: 8:30:02, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8572, top5_acc: 0.9834, loss_cls: 4.0142, loss: 4.0142 2025-05-06 04:26:21,712 - pyskl - INFO - Epoch [173][500/523] lr: 1.905e-02, eta: 8:29:14, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.8534, top5_acc: 0.9819, loss_cls: 4.0905, loss: 4.0905 2025-05-06 04:26:32,298 - pyskl - INFO - Saving checkpoint at 173 epochs 2025-05-06 04:27:00,576 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:27:00,645 - pyskl - INFO - top1_acc 0.3474 top5_acc 0.5654 2025-05-06 04:27:00,645 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:27:00,653 - pyskl - INFO - mean_acc 0.3464 2025-05-06 04:27:00,655 - pyskl - INFO - Epoch(val) [173][198] top1_acc: 0.3474, top5_acc: 0.5654, mean_class_accuracy: 0.3464 2025-05-06 04:28:08,898 - pyskl - INFO - Epoch [174][100/523] lr: 1.899e-02, eta: 8:28:25, time: 0.682, data_time: 0.264, memory: 7964, top1_acc: 0.8809, top5_acc: 0.9869, loss_cls: 3.7448, loss: 3.7448 2025-05-06 04:28:50,751 - pyskl - INFO - Epoch [174][200/523] lr: 1.894e-02, eta: 8:27:36, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.8788, top5_acc: 0.9888, loss_cls: 3.8834, loss: 3.8834 2025-05-06 04:29:33,776 - pyskl - INFO - Epoch [174][300/523] lr: 1.889e-02, eta: 8:26:48, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.8775, top5_acc: 0.9859, loss_cls: 3.8959, loss: 3.8959 2025-05-06 04:30:17,546 - pyskl - INFO - Epoch [174][400/523] lr: 1.884e-02, eta: 8:26:01, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8519, top5_acc: 0.9825, loss_cls: 4.1945, loss: 4.1945 2025-05-06 04:30:59,971 - pyskl - INFO - Epoch [174][500/523] lr: 1.879e-02, eta: 8:25:12, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.8506, top5_acc: 0.9856, loss_cls: 4.1361, loss: 4.1361 2025-05-06 04:31:10,343 - pyskl - INFO - Saving checkpoint at 174 epochs 2025-05-06 04:31:38,647 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:31:38,715 - pyskl - INFO - top1_acc 0.3431 top5_acc 0.5700 2025-05-06 04:31:38,715 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:31:38,722 - pyskl - INFO - mean_acc 0.3434 2025-05-06 04:31:38,724 - pyskl - INFO - Epoch(val) [174][198] top1_acc: 0.3431, top5_acc: 0.5700, mean_class_accuracy: 0.3434 2025-05-06 04:32:47,832 - pyskl - INFO - Epoch [175][100/523] lr: 1.873e-02, eta: 8:24:25, time: 0.691, data_time: 0.260, memory: 7964, top1_acc: 0.8703, top5_acc: 0.9875, loss_cls: 3.9085, loss: 3.9085 2025-05-06 04:33:29,813 - pyskl - INFO - Epoch [175][200/523] lr: 1.869e-02, eta: 8:23:36, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.8728, top5_acc: 0.9894, loss_cls: 3.9873, loss: 3.9873 2025-05-06 04:34:12,998 - pyskl - INFO - Epoch [175][300/523] lr: 1.864e-02, eta: 8:22:48, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8625, top5_acc: 0.9850, loss_cls: 4.1220, loss: 4.1220 2025-05-06 04:34:56,504 - pyskl - INFO - Epoch [175][400/523] lr: 1.859e-02, eta: 8:22:00, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8650, top5_acc: 0.9866, loss_cls: 4.0333, loss: 4.0333 2025-05-06 04:35:40,328 - pyskl - INFO - Epoch [175][500/523] lr: 1.854e-02, eta: 8:21:12, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8484, top5_acc: 0.9812, loss_cls: 4.0599, loss: 4.0599 2025-05-06 04:35:51,144 - pyskl - INFO - Saving checkpoint at 175 epochs 2025-05-06 04:36:19,345 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:36:19,413 - pyskl - INFO - top1_acc 0.3582 top5_acc 0.5586 2025-05-06 04:36:19,413 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:36:19,420 - pyskl - INFO - mean_acc 0.3586 2025-05-06 04:36:19,421 - pyskl - INFO - Epoch(val) [175][198] top1_acc: 0.3582, top5_acc: 0.5586, mean_class_accuracy: 0.3586 2025-05-06 04:37:28,185 - pyskl - INFO - Epoch [176][100/523] lr: 1.848e-02, eta: 8:20:25, time: 0.688, data_time: 0.259, memory: 7964, top1_acc: 0.9003, top5_acc: 0.9938, loss_cls: 3.6714, loss: 3.6714 2025-05-06 04:38:10,500 - pyskl - INFO - Epoch [176][200/523] lr: 1.843e-02, eta: 8:19:36, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.8897, top5_acc: 0.9881, loss_cls: 3.8396, loss: 3.8396 2025-05-06 04:38:52,398 - pyskl - INFO - Epoch [176][300/523] lr: 1.839e-02, eta: 8:18:47, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.8731, top5_acc: 0.9881, loss_cls: 3.8802, loss: 3.8802 2025-05-06 04:39:34,223 - pyskl - INFO - Epoch [176][400/523] lr: 1.834e-02, eta: 8:17:58, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.8559, top5_acc: 0.9825, loss_cls: 4.0696, loss: 4.0696 2025-05-06 04:40:16,078 - pyskl - INFO - Epoch [176][500/523] lr: 1.829e-02, eta: 8:17:09, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.8494, top5_acc: 0.9791, loss_cls: 4.0603, loss: 4.0603 2025-05-06 04:40:26,344 - pyskl - INFO - Saving checkpoint at 176 epochs 2025-05-06 04:40:54,786 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:40:54,855 - pyskl - INFO - top1_acc 0.3528 top5_acc 0.5629 2025-05-06 04:40:54,855 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:40:54,863 - pyskl - INFO - mean_acc 0.3538 2025-05-06 04:40:54,864 - pyskl - INFO - Epoch(val) [176][198] top1_acc: 0.3528, top5_acc: 0.5629, mean_class_accuracy: 0.3538 2025-05-06 04:42:03,846 - pyskl - INFO - Epoch [177][100/523] lr: 1.823e-02, eta: 8:16:21, time: 0.690, data_time: 0.259, memory: 7964, top1_acc: 0.9009, top5_acc: 0.9909, loss_cls: 3.8090, loss: 3.8090 2025-05-06 04:42:45,797 - pyskl - INFO - Epoch [177][200/523] lr: 1.818e-02, eta: 8:15:33, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.8828, top5_acc: 0.9856, loss_cls: 3.9313, loss: 3.9313 2025-05-06 04:43:28,026 - pyskl - INFO - Epoch [177][300/523] lr: 1.813e-02, eta: 8:14:44, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.8847, top5_acc: 0.9869, loss_cls: 4.0601, loss: 4.0601 2025-05-06 04:44:10,807 - pyskl - INFO - Epoch [177][400/523] lr: 1.808e-02, eta: 8:13:56, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.8694, top5_acc: 0.9888, loss_cls: 4.0430, loss: 4.0430 2025-05-06 04:44:53,968 - pyskl - INFO - Epoch [177][500/523] lr: 1.804e-02, eta: 8:13:08, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8488, top5_acc: 0.9812, loss_cls: 3.9904, loss: 3.9904 2025-05-06 04:45:04,548 - pyskl - INFO - Saving checkpoint at 177 epochs 2025-05-06 04:45:32,934 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:45:33,002 - pyskl - INFO - top1_acc 0.3344 top5_acc 0.5367 2025-05-06 04:45:33,003 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:45:33,010 - pyskl - INFO - mean_acc 0.3353 2025-05-06 04:45:33,012 - pyskl - INFO - Epoch(val) [177][198] top1_acc: 0.3344, top5_acc: 0.5367, mean_class_accuracy: 0.3353 2025-05-06 04:46:42,038 - pyskl - INFO - Epoch [178][100/523] lr: 1.798e-02, eta: 8:12:20, time: 0.690, data_time: 0.260, memory: 7964, top1_acc: 0.8922, top5_acc: 0.9906, loss_cls: 3.7960, loss: 3.7960 2025-05-06 04:47:24,245 - pyskl - INFO - Epoch [178][200/523] lr: 1.793e-02, eta: 8:11:31, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.8856, top5_acc: 0.9878, loss_cls: 3.8762, loss: 3.8762 2025-05-06 04:48:07,767 - pyskl - INFO - Epoch [178][300/523] lr: 1.788e-02, eta: 8:10:44, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8781, top5_acc: 0.9903, loss_cls: 3.9028, loss: 3.9028 2025-05-06 04:48:51,768 - pyskl - INFO - Epoch [178][400/523] lr: 1.783e-02, eta: 8:09:56, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8744, top5_acc: 0.9862, loss_cls: 3.8953, loss: 3.8953 2025-05-06 04:49:35,001 - pyskl - INFO - Epoch [178][500/523] lr: 1.779e-02, eta: 8:09:08, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8572, top5_acc: 0.9841, loss_cls: 4.0623, loss: 4.0623 2025-05-06 04:49:45,433 - pyskl - INFO - Saving checkpoint at 178 epochs 2025-05-06 04:50:13,751 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:50:13,820 - pyskl - INFO - top1_acc 0.3468 top5_acc 0.5695 2025-05-06 04:50:13,820 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:50:13,827 - pyskl - INFO - mean_acc 0.3454 2025-05-06 04:50:13,828 - pyskl - INFO - Epoch(val) [178][198] top1_acc: 0.3468, top5_acc: 0.5695, mean_class_accuracy: 0.3454 2025-05-06 04:51:23,073 - pyskl - INFO - Epoch [179][100/523] lr: 1.773e-02, eta: 8:08:20, time: 0.692, data_time: 0.258, memory: 7964, top1_acc: 0.8981, top5_acc: 0.9934, loss_cls: 3.7649, loss: 3.7649 2025-05-06 04:52:04,831 - pyskl - INFO - Epoch [179][200/523] lr: 1.768e-02, eta: 8:07:32, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.8850, top5_acc: 0.9900, loss_cls: 3.9821, loss: 3.9821 2025-05-06 04:52:47,076 - pyskl - INFO - Epoch [179][300/523] lr: 1.763e-02, eta: 8:06:43, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.8691, top5_acc: 0.9912, loss_cls: 3.8550, loss: 3.8550 2025-05-06 04:53:30,119 - pyskl - INFO - Epoch [179][400/523] lr: 1.758e-02, eta: 8:05:55, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.8650, top5_acc: 0.9891, loss_cls: 3.9385, loss: 3.9385 2025-05-06 04:54:13,108 - pyskl - INFO - Epoch [179][500/523] lr: 1.754e-02, eta: 8:05:07, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.8703, top5_acc: 0.9862, loss_cls: 3.9127, loss: 3.9127 2025-05-06 04:54:23,587 - pyskl - INFO - Saving checkpoint at 179 epochs 2025-05-06 04:54:52,104 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:54:52,174 - pyskl - INFO - top1_acc 0.3350 top5_acc 0.5632 2025-05-06 04:54:52,174 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:54:52,182 - pyskl - INFO - mean_acc 0.3367 2025-05-06 04:54:52,183 - pyskl - INFO - Epoch(val) [179][198] top1_acc: 0.3350, top5_acc: 0.5632, mean_class_accuracy: 0.3367 2025-05-06 04:56:01,194 - pyskl - INFO - Epoch [180][100/523] lr: 1.748e-02, eta: 8:04:19, time: 0.690, data_time: 0.261, memory: 7964, top1_acc: 0.8884, top5_acc: 0.9903, loss_cls: 3.8891, loss: 3.8891 2025-05-06 04:56:43,824 - pyskl - INFO - Epoch [180][200/523] lr: 1.743e-02, eta: 8:03:31, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.8991, top5_acc: 0.9941, loss_cls: 3.7068, loss: 3.7068 2025-05-06 04:57:26,141 - pyskl - INFO - Epoch [180][300/523] lr: 1.738e-02, eta: 8:02:42, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.8891, top5_acc: 0.9900, loss_cls: 3.8518, loss: 3.8518 2025-05-06 04:58:07,928 - pyskl - INFO - Epoch [180][400/523] lr: 1.733e-02, eta: 8:01:53, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.8803, top5_acc: 0.9872, loss_cls: 3.8582, loss: 3.8582 2025-05-06 04:58:51,847 - pyskl - INFO - Epoch [180][500/523] lr: 1.729e-02, eta: 8:01:06, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8688, top5_acc: 0.9856, loss_cls: 3.9107, loss: 3.9107 2025-05-06 04:59:02,596 - pyskl - INFO - Saving checkpoint at 180 epochs 2025-05-06 04:59:30,929 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 04:59:30,998 - pyskl - INFO - top1_acc 0.3525 top5_acc 0.5611 2025-05-06 04:59:30,998 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 04:59:31,006 - pyskl - INFO - mean_acc 0.3527 2025-05-06 04:59:31,007 - pyskl - INFO - Epoch(val) [180][198] top1_acc: 0.3525, top5_acc: 0.5611, mean_class_accuracy: 0.3527 2025-05-06 05:00:41,247 - pyskl - INFO - Epoch [181][100/523] lr: 1.723e-02, eta: 8:00:19, time: 0.702, data_time: 0.260, memory: 7964, top1_acc: 0.9050, top5_acc: 0.9909, loss_cls: 3.7882, loss: 3.7882 2025-05-06 05:01:23,797 - pyskl - INFO - Epoch [181][200/523] lr: 1.718e-02, eta: 7:59:30, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9028, top5_acc: 0.9934, loss_cls: 3.8272, loss: 3.8272 2025-05-06 05:02:06,430 - pyskl - INFO - Epoch [181][300/523] lr: 1.713e-02, eta: 7:58:42, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.8784, top5_acc: 0.9884, loss_cls: 3.9652, loss: 3.9652 2025-05-06 05:02:50,384 - pyskl - INFO - Epoch [181][400/523] lr: 1.708e-02, eta: 7:57:55, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8738, top5_acc: 0.9878, loss_cls: 3.8771, loss: 3.8771 2025-05-06 05:03:33,493 - pyskl - INFO - Epoch [181][500/523] lr: 1.704e-02, eta: 7:57:07, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8731, top5_acc: 0.9862, loss_cls: 3.9351, loss: 3.9351 2025-05-06 05:03:43,836 - pyskl - INFO - Saving checkpoint at 181 epochs 2025-05-06 05:04:12,119 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:04:12,188 - pyskl - INFO - top1_acc 0.3371 top5_acc 0.5559 2025-05-06 05:04:12,189 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:04:12,196 - pyskl - INFO - mean_acc 0.3372 2025-05-06 05:04:12,198 - pyskl - INFO - Epoch(val) [181][198] top1_acc: 0.3371, top5_acc: 0.5559, mean_class_accuracy: 0.3372 2025-05-06 05:05:21,391 - pyskl - INFO - Epoch [182][100/523] lr: 1.698e-02, eta: 7:56:19, time: 0.692, data_time: 0.258, memory: 7964, top1_acc: 0.9009, top5_acc: 0.9938, loss_cls: 3.7852, loss: 3.7852 2025-05-06 05:06:03,840 - pyskl - INFO - Epoch [182][200/523] lr: 1.693e-02, eta: 7:55:30, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.8988, top5_acc: 0.9916, loss_cls: 3.7792, loss: 3.7792 2025-05-06 05:06:46,609 - pyskl - INFO - Epoch [182][300/523] lr: 1.688e-02, eta: 7:54:42, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.8978, top5_acc: 0.9903, loss_cls: 3.8505, loss: 3.8505 2025-05-06 05:07:29,604 - pyskl - INFO - Epoch [182][400/523] lr: 1.684e-02, eta: 7:53:54, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.8816, top5_acc: 0.9891, loss_cls: 3.9620, loss: 3.9620 2025-05-06 05:08:13,585 - pyskl - INFO - Epoch [182][500/523] lr: 1.679e-02, eta: 7:53:07, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8619, top5_acc: 0.9859, loss_cls: 3.8113, loss: 3.8113 2025-05-06 05:08:24,351 - pyskl - INFO - Saving checkpoint at 182 epochs 2025-05-06 05:08:52,511 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:08:52,580 - pyskl - INFO - top1_acc 0.3425 top5_acc 0.5543 2025-05-06 05:08:52,580 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:08:52,587 - pyskl - INFO - mean_acc 0.3450 2025-05-06 05:08:52,589 - pyskl - INFO - Epoch(val) [182][198] top1_acc: 0.3425, top5_acc: 0.5543, mean_class_accuracy: 0.3450 2025-05-06 05:10:02,251 - pyskl - INFO - Epoch [183][100/523] lr: 1.673e-02, eta: 7:52:19, time: 0.697, data_time: 0.260, memory: 7964, top1_acc: 0.9103, top5_acc: 0.9909, loss_cls: 3.6099, loss: 3.6099 2025-05-06 05:10:44,760 - pyskl - INFO - Epoch [183][200/523] lr: 1.668e-02, eta: 7:51:31, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.8975, top5_acc: 0.9909, loss_cls: 3.8210, loss: 3.8210 2025-05-06 05:11:26,554 - pyskl - INFO - Epoch [183][300/523] lr: 1.664e-02, eta: 7:50:42, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.8853, top5_acc: 0.9912, loss_cls: 3.8647, loss: 3.8647 2025-05-06 05:12:08,871 - pyskl - INFO - Epoch [183][400/523] lr: 1.659e-02, eta: 7:49:54, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.8866, top5_acc: 0.9888, loss_cls: 3.9573, loss: 3.9573 2025-05-06 05:12:52,081 - pyskl - INFO - Epoch [183][500/523] lr: 1.654e-02, eta: 7:49:06, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8709, top5_acc: 0.9862, loss_cls: 3.9116, loss: 3.9116 2025-05-06 05:13:02,817 - pyskl - INFO - Saving checkpoint at 183 epochs 2025-05-06 05:13:31,656 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:13:31,725 - pyskl - INFO - top1_acc 0.3531 top5_acc 0.5681 2025-05-06 05:13:31,725 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:13:31,732 - pyskl - INFO - mean_acc 0.3524 2025-05-06 05:13:31,734 - pyskl - INFO - Epoch(val) [183][198] top1_acc: 0.3531, top5_acc: 0.5681, mean_class_accuracy: 0.3524 2025-05-06 05:14:40,809 - pyskl - INFO - Epoch [184][100/523] lr: 1.648e-02, eta: 7:48:17, time: 0.691, data_time: 0.265, memory: 7964, top1_acc: 0.9069, top5_acc: 0.9934, loss_cls: 3.7277, loss: 3.7277 2025-05-06 05:15:23,571 - pyskl - INFO - Epoch [184][200/523] lr: 1.644e-02, eta: 7:47:29, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.8981, top5_acc: 0.9931, loss_cls: 3.7710, loss: 3.7710 2025-05-06 05:16:05,663 - pyskl - INFO - Epoch [184][300/523] lr: 1.639e-02, eta: 7:46:41, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9034, top5_acc: 0.9919, loss_cls: 3.6717, loss: 3.6717 2025-05-06 05:16:47,518 - pyskl - INFO - Epoch [184][400/523] lr: 1.634e-02, eta: 7:45:52, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.8928, top5_acc: 0.9931, loss_cls: 3.8341, loss: 3.8341 2025-05-06 05:17:29,352 - pyskl - INFO - Epoch [184][500/523] lr: 1.630e-02, eta: 7:45:04, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.8631, top5_acc: 0.9875, loss_cls: 3.9100, loss: 3.9100 2025-05-06 05:17:39,696 - pyskl - INFO - Saving checkpoint at 184 epochs 2025-05-06 05:18:07,971 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:18:08,052 - pyskl - INFO - top1_acc 0.3529 top5_acc 0.5730 2025-05-06 05:18:08,053 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:18:08,062 - pyskl - INFO - mean_acc 0.3542 2025-05-06 05:18:08,065 - pyskl - INFO - Epoch(val) [184][198] top1_acc: 0.3529, top5_acc: 0.5730, mean_class_accuracy: 0.3542 2025-05-06 05:19:15,845 - pyskl - INFO - Epoch [185][100/523] lr: 1.624e-02, eta: 7:44:14, time: 0.678, data_time: 0.257, memory: 7964, top1_acc: 0.9122, top5_acc: 0.9928, loss_cls: 3.6978, loss: 3.6978 2025-05-06 05:19:59,125 - pyskl - INFO - Epoch [185][200/523] lr: 1.619e-02, eta: 7:43:26, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9103, top5_acc: 0.9953, loss_cls: 3.7161, loss: 3.7161 2025-05-06 05:20:41,095 - pyskl - INFO - Epoch [185][300/523] lr: 1.615e-02, eta: 7:42:38, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9034, top5_acc: 0.9916, loss_cls: 3.8368, loss: 3.8368 2025-05-06 05:21:24,473 - pyskl - INFO - Epoch [185][400/523] lr: 1.610e-02, eta: 7:41:50, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8906, top5_acc: 0.9878, loss_cls: 3.7285, loss: 3.7285 2025-05-06 05:22:08,224 - pyskl - INFO - Epoch [185][500/523] lr: 1.605e-02, eta: 7:41:03, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 3.9022, loss: 3.9022 2025-05-06 05:22:18,918 - pyskl - INFO - Saving checkpoint at 185 epochs 2025-05-06 05:22:47,505 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:22:47,574 - pyskl - INFO - top1_acc 0.3472 top5_acc 0.5662 2025-05-06 05:22:47,574 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:22:47,581 - pyskl - INFO - mean_acc 0.3471 2025-05-06 05:22:47,582 - pyskl - INFO - Epoch(val) [185][198] top1_acc: 0.3472, top5_acc: 0.5662, mean_class_accuracy: 0.3471 2025-05-06 05:23:56,605 - pyskl - INFO - Epoch [186][100/523] lr: 1.599e-02, eta: 7:40:14, time: 0.690, data_time: 0.261, memory: 7964, top1_acc: 0.9134, top5_acc: 0.9947, loss_cls: 3.6906, loss: 3.6906 2025-05-06 05:24:38,918 - pyskl - INFO - Epoch [186][200/523] lr: 1.595e-02, eta: 7:39:26, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9097, top5_acc: 0.9931, loss_cls: 3.5450, loss: 3.5450 2025-05-06 05:25:20,768 - pyskl - INFO - Epoch [186][300/523] lr: 1.590e-02, eta: 7:38:37, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9081, top5_acc: 0.9928, loss_cls: 3.7618, loss: 3.7618 2025-05-06 05:26:03,075 - pyskl - INFO - Epoch [186][400/523] lr: 1.585e-02, eta: 7:37:49, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.8919, top5_acc: 0.9909, loss_cls: 3.8853, loss: 3.8853 2025-05-06 05:26:45,782 - pyskl - INFO - Epoch [186][500/523] lr: 1.581e-02, eta: 7:37:01, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.8841, top5_acc: 0.9919, loss_cls: 3.8385, loss: 3.8385 2025-05-06 05:26:56,217 - pyskl - INFO - Saving checkpoint at 186 epochs 2025-05-06 05:27:24,852 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:27:24,921 - pyskl - INFO - top1_acc 0.3631 top5_acc 0.5744 2025-05-06 05:27:24,921 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:27:24,928 - pyskl - INFO - mean_acc 0.3633 2025-05-06 05:27:24,990 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_167.pth was removed 2025-05-06 05:27:26,666 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_186.pth. 2025-05-06 05:27:26,668 - pyskl - INFO - Best top1_acc is 0.3631 at 186 epoch. 2025-05-06 05:27:26,670 - pyskl - INFO - Epoch(val) [186][198] top1_acc: 0.3631, top5_acc: 0.5744, mean_class_accuracy: 0.3633 2025-05-06 05:28:35,798 - pyskl - INFO - Epoch [187][100/523] lr: 1.575e-02, eta: 7:36:12, time: 0.691, data_time: 0.260, memory: 7964, top1_acc: 0.9319, top5_acc: 0.9934, loss_cls: 3.7133, loss: 3.7133 2025-05-06 05:29:18,987 - pyskl - INFO - Epoch [187][200/523] lr: 1.570e-02, eta: 7:35:25, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8953, top5_acc: 0.9919, loss_cls: 3.7237, loss: 3.7237 2025-05-06 05:30:00,875 - pyskl - INFO - Epoch [187][300/523] lr: 1.566e-02, eta: 7:34:36, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9047, top5_acc: 0.9931, loss_cls: 3.7489, loss: 3.7489 2025-05-06 05:30:44,342 - pyskl - INFO - Epoch [187][400/523] lr: 1.561e-02, eta: 7:33:49, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8919, top5_acc: 0.9938, loss_cls: 3.7234, loss: 3.7234 2025-05-06 05:31:28,297 - pyskl - INFO - Epoch [187][500/523] lr: 1.557e-02, eta: 7:33:01, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8897, top5_acc: 0.9916, loss_cls: 3.8384, loss: 3.8384 2025-05-06 05:31:39,069 - pyskl - INFO - Saving checkpoint at 187 epochs 2025-05-06 05:32:07,485 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:32:07,552 - pyskl - INFO - top1_acc 0.3447 top5_acc 0.5652 2025-05-06 05:32:07,552 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:32:07,558 - pyskl - INFO - mean_acc 0.3440 2025-05-06 05:32:07,560 - pyskl - INFO - Epoch(val) [187][198] top1_acc: 0.3447, top5_acc: 0.5652, mean_class_accuracy: 0.3440 2025-05-06 05:33:17,757 - pyskl - INFO - Epoch [188][100/523] lr: 1.551e-02, eta: 7:32:13, time: 0.702, data_time: 0.266, memory: 7964, top1_acc: 0.9197, top5_acc: 0.9944, loss_cls: 3.6477, loss: 3.6477 2025-05-06 05:34:00,753 - pyskl - INFO - Epoch [188][200/523] lr: 1.546e-02, eta: 7:31:25, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9191, top5_acc: 0.9944, loss_cls: 3.6459, loss: 3.6459 2025-05-06 05:34:42,616 - pyskl - INFO - Epoch [188][300/523] lr: 1.542e-02, eta: 7:30:37, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9109, top5_acc: 0.9956, loss_cls: 3.7026, loss: 3.7026 2025-05-06 05:35:24,492 - pyskl - INFO - Epoch [188][400/523] lr: 1.537e-02, eta: 7:29:48, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9034, top5_acc: 0.9925, loss_cls: 3.7353, loss: 3.7353 2025-05-06 05:36:06,687 - pyskl - INFO - Epoch [188][500/523] lr: 1.532e-02, eta: 7:29:00, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.8934, top5_acc: 0.9919, loss_cls: 3.7543, loss: 3.7543 2025-05-06 05:36:17,074 - pyskl - INFO - Saving checkpoint at 188 epochs 2025-05-06 05:36:45,355 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:36:45,425 - pyskl - INFO - top1_acc 0.3450 top5_acc 0.5611 2025-05-06 05:36:45,425 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:36:45,433 - pyskl - INFO - mean_acc 0.3449 2025-05-06 05:36:45,434 - pyskl - INFO - Epoch(val) [188][198] top1_acc: 0.3450, top5_acc: 0.5611, mean_class_accuracy: 0.3449 2025-05-06 05:37:53,416 - pyskl - INFO - Epoch [189][100/523] lr: 1.527e-02, eta: 7:28:10, time: 0.680, data_time: 0.258, memory: 7964, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 3.5780, loss: 3.5780 2025-05-06 05:38:35,528 - pyskl - INFO - Epoch [189][200/523] lr: 1.522e-02, eta: 7:27:22, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9237, top5_acc: 0.9947, loss_cls: 3.6547, loss: 3.6547 2025-05-06 05:39:17,331 - pyskl - INFO - Epoch [189][300/523] lr: 1.517e-02, eta: 7:26:34, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9084, top5_acc: 0.9934, loss_cls: 3.7676, loss: 3.7676 2025-05-06 05:40:00,620 - pyskl - INFO - Epoch [189][400/523] lr: 1.513e-02, eta: 7:25:46, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9072, top5_acc: 0.9941, loss_cls: 3.7049, loss: 3.7049 2025-05-06 05:40:44,312 - pyskl - INFO - Epoch [189][500/523] lr: 1.508e-02, eta: 7:24:59, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.8953, top5_acc: 0.9906, loss_cls: 3.8009, loss: 3.8009 2025-05-06 05:40:55,117 - pyskl - INFO - Saving checkpoint at 189 epochs 2025-05-06 05:41:23,791 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:41:23,866 - pyskl - INFO - top1_acc 0.3601 top5_acc 0.5719 2025-05-06 05:41:23,866 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:41:23,874 - pyskl - INFO - mean_acc 0.3601 2025-05-06 05:41:23,875 - pyskl - INFO - Epoch(val) [189][198] top1_acc: 0.3601, top5_acc: 0.5719, mean_class_accuracy: 0.3601 2025-05-06 05:42:32,750 - pyskl - INFO - Epoch [190][100/523] lr: 1.503e-02, eta: 7:24:09, time: 0.689, data_time: 0.263, memory: 7964, top1_acc: 0.9266, top5_acc: 0.9956, loss_cls: 3.5033, loss: 3.5033 2025-05-06 05:43:15,619 - pyskl - INFO - Epoch [190][200/523] lr: 1.498e-02, eta: 7:23:22, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9303, top5_acc: 0.9962, loss_cls: 3.6621, loss: 3.6621 2025-05-06 05:43:57,441 - pyskl - INFO - Epoch [190][300/523] lr: 1.493e-02, eta: 7:22:33, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 3.6284, loss: 3.6284 2025-05-06 05:44:41,306 - pyskl - INFO - Epoch [190][400/523] lr: 1.489e-02, eta: 7:21:46, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9084, top5_acc: 0.9947, loss_cls: 3.8075, loss: 3.8075 2025-05-06 05:45:25,060 - pyskl - INFO - Epoch [190][500/523] lr: 1.484e-02, eta: 7:20:59, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8978, top5_acc: 0.9928, loss_cls: 3.7913, loss: 3.7913 2025-05-06 05:45:35,837 - pyskl - INFO - Saving checkpoint at 190 epochs 2025-05-06 05:46:04,362 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:46:04,430 - pyskl - INFO - top1_acc 0.3536 top5_acc 0.5679 2025-05-06 05:46:04,431 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:46:04,437 - pyskl - INFO - mean_acc 0.3526 2025-05-06 05:46:04,438 - pyskl - INFO - Epoch(val) [190][198] top1_acc: 0.3536, top5_acc: 0.5679, mean_class_accuracy: 0.3526 2025-05-06 05:47:12,875 - pyskl - INFO - Epoch [191][100/523] lr: 1.479e-02, eta: 7:20:09, time: 0.684, data_time: 0.258, memory: 7964, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 3.4908, loss: 3.4908 2025-05-06 05:47:54,820 - pyskl - INFO - Epoch [191][200/523] lr: 1.474e-02, eta: 7:19:21, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9294, top5_acc: 0.9953, loss_cls: 3.6652, loss: 3.6652 2025-05-06 05:48:36,643 - pyskl - INFO - Epoch [191][300/523] lr: 1.470e-02, eta: 7:18:32, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9247, top5_acc: 0.9969, loss_cls: 3.5708, loss: 3.5708 2025-05-06 05:49:20,252 - pyskl - INFO - Epoch [191][400/523] lr: 1.465e-02, eta: 7:17:45, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 3.6953, loss: 3.6953 2025-05-06 05:50:03,673 - pyskl - INFO - Epoch [191][500/523] lr: 1.460e-02, eta: 7:16:58, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9097, top5_acc: 0.9966, loss_cls: 3.7437, loss: 3.7437 2025-05-06 05:50:14,312 - pyskl - INFO - Saving checkpoint at 191 epochs 2025-05-06 05:50:42,732 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:50:42,802 - pyskl - INFO - top1_acc 0.3518 top5_acc 0.5532 2025-05-06 05:50:42,802 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:50:42,810 - pyskl - INFO - mean_acc 0.3530 2025-05-06 05:50:42,812 - pyskl - INFO - Epoch(val) [191][198] top1_acc: 0.3518, top5_acc: 0.5532, mean_class_accuracy: 0.3530 2025-05-06 05:51:51,690 - pyskl - INFO - Epoch [192][100/523] lr: 1.455e-02, eta: 7:16:08, time: 0.689, data_time: 0.260, memory: 7964, top1_acc: 0.9331, top5_acc: 0.9959, loss_cls: 3.4736, loss: 3.4736 2025-05-06 05:52:34,282 - pyskl - INFO - Epoch [192][200/523] lr: 1.450e-02, eta: 7:15:20, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9391, top5_acc: 0.9969, loss_cls: 3.5786, loss: 3.5786 2025-05-06 05:53:16,240 - pyskl - INFO - Epoch [192][300/523] lr: 1.446e-02, eta: 7:14:32, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9181, top5_acc: 0.9947, loss_cls: 3.6767, loss: 3.6767 2025-05-06 05:53:58,054 - pyskl - INFO - Epoch [192][400/523] lr: 1.441e-02, eta: 7:13:44, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9119, top5_acc: 0.9950, loss_cls: 3.6553, loss: 3.6553 2025-05-06 05:54:39,700 - pyskl - INFO - Epoch [192][500/523] lr: 1.437e-02, eta: 7:12:55, time: 0.416, data_time: 0.000, memory: 7964, top1_acc: 0.9012, top5_acc: 0.9922, loss_cls: 3.7502, loss: 3.7502 2025-05-06 05:54:50,206 - pyskl - INFO - Saving checkpoint at 192 epochs 2025-05-06 05:55:18,766 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:55:18,838 - pyskl - INFO - top1_acc 0.3495 top5_acc 0.5603 2025-05-06 05:55:18,839 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 05:55:18,849 - pyskl - INFO - mean_acc 0.3497 2025-05-06 05:55:18,867 - pyskl - INFO - Epoch(val) [192][198] top1_acc: 0.3495, top5_acc: 0.5603, mean_class_accuracy: 0.3497 2025-05-06 05:56:29,097 - pyskl - INFO - Epoch [193][100/523] lr: 1.431e-02, eta: 7:12:06, time: 0.702, data_time: 0.265, memory: 7964, top1_acc: 0.9391, top5_acc: 0.9956, loss_cls: 3.4942, loss: 3.4942 2025-05-06 05:57:12,211 - pyskl - INFO - Epoch [193][200/523] lr: 1.427e-02, eta: 7:11:19, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9319, top5_acc: 0.9966, loss_cls: 3.5646, loss: 3.5646 2025-05-06 05:57:54,066 - pyskl - INFO - Epoch [193][300/523] lr: 1.422e-02, eta: 7:10:30, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9319, top5_acc: 0.9959, loss_cls: 3.5645, loss: 3.5645 2025-05-06 05:58:37,414 - pyskl - INFO - Epoch [193][400/523] lr: 1.418e-02, eta: 7:09:43, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9116, top5_acc: 0.9959, loss_cls: 3.6851, loss: 3.6851 2025-05-06 05:59:21,029 - pyskl - INFO - Epoch [193][500/523] lr: 1.413e-02, eta: 7:08:56, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9019, top5_acc: 0.9941, loss_cls: 3.7559, loss: 3.7559 2025-05-06 05:59:31,413 - pyskl - INFO - Saving checkpoint at 193 epochs 2025-05-06 05:59:59,920 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 05:59:59,996 - pyskl - INFO - top1_acc 0.3439 top5_acc 0.5627 2025-05-06 05:59:59,996 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:00:00,006 - pyskl - INFO - mean_acc 0.3444 2025-05-06 06:00:00,008 - pyskl - INFO - Epoch(val) [193][198] top1_acc: 0.3439, top5_acc: 0.5627, mean_class_accuracy: 0.3444 2025-05-06 06:01:09,865 - pyskl - INFO - Epoch [194][100/523] lr: 1.407e-02, eta: 7:08:06, time: 0.699, data_time: 0.272, memory: 7964, top1_acc: 0.9369, top5_acc: 0.9984, loss_cls: 3.4923, loss: 3.4923 2025-05-06 06:01:52,714 - pyskl - INFO - Epoch [194][200/523] lr: 1.403e-02, eta: 7:07:19, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9347, top5_acc: 0.9953, loss_cls: 3.5577, loss: 3.5577 2025-05-06 06:02:34,522 - pyskl - INFO - Epoch [194][300/523] lr: 1.398e-02, eta: 7:06:30, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9281, top5_acc: 0.9969, loss_cls: 3.5407, loss: 3.5407 2025-05-06 06:03:16,388 - pyskl - INFO - Epoch [194][400/523] lr: 1.394e-02, eta: 7:05:42, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9100, top5_acc: 0.9941, loss_cls: 3.6789, loss: 3.6789 2025-05-06 06:03:58,256 - pyskl - INFO - Epoch [194][500/523] lr: 1.389e-02, eta: 7:04:54, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.8994, top5_acc: 0.9941, loss_cls: 3.7031, loss: 3.7031 2025-05-06 06:04:08,527 - pyskl - INFO - Saving checkpoint at 194 epochs 2025-05-06 06:04:37,230 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:04:37,299 - pyskl - INFO - top1_acc 0.3644 top5_acc 0.5729 2025-05-06 06:04:37,300 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:04:37,312 - pyskl - INFO - mean_acc 0.3650 2025-05-06 06:04:37,371 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_186.pth was removed 2025-05-06 06:04:39,021 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_194.pth. 2025-05-06 06:04:39,023 - pyskl - INFO - Best top1_acc is 0.3644 at 194 epoch. 2025-05-06 06:04:39,027 - pyskl - INFO - Epoch(val) [194][198] top1_acc: 0.3644, top5_acc: 0.5729, mean_class_accuracy: 0.3650 2025-05-06 06:05:48,712 - pyskl - INFO - Epoch [195][100/523] lr: 1.384e-02, eta: 7:04:05, time: 0.697, data_time: 0.265, memory: 7964, top1_acc: 0.9359, top5_acc: 0.9959, loss_cls: 3.5659, loss: 3.5659 2025-05-06 06:06:31,316 - pyskl - INFO - Epoch [195][200/523] lr: 1.379e-02, eta: 7:03:17, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9472, top5_acc: 0.9988, loss_cls: 3.5323, loss: 3.5323 2025-05-06 06:07:13,346 - pyskl - INFO - Epoch [195][300/523] lr: 1.375e-02, eta: 7:02:29, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 3.5016, loss: 3.5016 2025-05-06 06:07:55,828 - pyskl - INFO - Epoch [195][400/523] lr: 1.371e-02, eta: 7:01:41, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9012, top5_acc: 0.9950, loss_cls: 3.7148, loss: 3.7148 2025-05-06 06:08:38,880 - pyskl - INFO - Epoch [195][500/523] lr: 1.366e-02, eta: 7:00:53, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9106, top5_acc: 0.9947, loss_cls: 3.7185, loss: 3.7185 2025-05-06 06:08:49,299 - pyskl - INFO - Saving checkpoint at 195 epochs 2025-05-06 06:09:17,563 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:09:17,632 - pyskl - INFO - top1_acc 0.3623 top5_acc 0.5687 2025-05-06 06:09:17,632 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:09:17,639 - pyskl - INFO - mean_acc 0.3612 2025-05-06 06:09:17,640 - pyskl - INFO - Epoch(val) [195][198] top1_acc: 0.3623, top5_acc: 0.5687, mean_class_accuracy: 0.3612 2025-05-06 06:10:26,074 - pyskl - INFO - Epoch [196][100/523] lr: 1.361e-02, eta: 7:00:03, time: 0.684, data_time: 0.260, memory: 7964, top1_acc: 0.9384, top5_acc: 0.9981, loss_cls: 3.4731, loss: 3.4731 2025-05-06 06:11:09,654 - pyskl - INFO - Epoch [196][200/523] lr: 1.356e-02, eta: 6:59:16, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9422, top5_acc: 0.9972, loss_cls: 3.4303, loss: 3.4303 2025-05-06 06:11:51,390 - pyskl - INFO - Epoch [196][300/523] lr: 1.352e-02, eta: 6:58:28, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.9416, top5_acc: 0.9988, loss_cls: 3.5134, loss: 3.5134 2025-05-06 06:12:33,612 - pyskl - INFO - Epoch [196][400/523] lr: 1.347e-02, eta: 6:57:40, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9222, top5_acc: 0.9959, loss_cls: 3.5802, loss: 3.5802 2025-05-06 06:13:16,335 - pyskl - INFO - Epoch [196][500/523] lr: 1.343e-02, eta: 6:56:52, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 3.6234, loss: 3.6234 2025-05-06 06:13:26,801 - pyskl - INFO - Saving checkpoint at 196 epochs 2025-05-06 06:13:55,274 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:13:55,347 - pyskl - INFO - top1_acc 0.3653 top5_acc 0.5695 2025-05-06 06:13:55,347 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:13:55,354 - pyskl - INFO - mean_acc 0.3653 2025-05-06 06:13:55,423 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_194.pth was removed 2025-05-06 06:13:56,994 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_196.pth. 2025-05-06 06:13:56,995 - pyskl - INFO - Best top1_acc is 0.3653 at 196 epoch. 2025-05-06 06:13:56,998 - pyskl - INFO - Epoch(val) [196][198] top1_acc: 0.3653, top5_acc: 0.5695, mean_class_accuracy: 0.3653 2025-05-06 06:15:05,149 - pyskl - INFO - Epoch [197][100/523] lr: 1.337e-02, eta: 6:56:02, time: 0.681, data_time: 0.258, memory: 7964, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 3.4588, loss: 3.4588 2025-05-06 06:15:47,838 - pyskl - INFO - Epoch [197][200/523] lr: 1.333e-02, eta: 6:55:14, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9400, top5_acc: 0.9972, loss_cls: 3.5011, loss: 3.5011 2025-05-06 06:16:29,928 - pyskl - INFO - Epoch [197][300/523] lr: 1.329e-02, eta: 6:54:26, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9250, top5_acc: 0.9988, loss_cls: 3.5442, loss: 3.5442 2025-05-06 06:17:11,916 - pyskl - INFO - Epoch [197][400/523] lr: 1.324e-02, eta: 6:53:38, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9269, top5_acc: 0.9953, loss_cls: 3.5746, loss: 3.5746 2025-05-06 06:17:54,691 - pyskl - INFO - Epoch [197][500/523] lr: 1.320e-02, eta: 6:52:50, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9287, top5_acc: 0.9969, loss_cls: 3.5535, loss: 3.5535 2025-05-06 06:18:05,399 - pyskl - INFO - Saving checkpoint at 197 epochs 2025-05-06 06:18:33,802 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:18:33,870 - pyskl - INFO - top1_acc 0.3585 top5_acc 0.5679 2025-05-06 06:18:33,871 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:18:33,877 - pyskl - INFO - mean_acc 0.3585 2025-05-06 06:18:33,879 - pyskl - INFO - Epoch(val) [197][198] top1_acc: 0.3585, top5_acc: 0.5679, mean_class_accuracy: 0.3585 2025-05-06 06:19:42,697 - pyskl - INFO - Epoch [198][100/523] lr: 1.314e-02, eta: 6:52:00, time: 0.688, data_time: 0.261, memory: 7964, top1_acc: 0.9503, top5_acc: 0.9994, loss_cls: 3.4056, loss: 3.4056 2025-05-06 06:20:26,460 - pyskl - INFO - Epoch [198][200/523] lr: 1.310e-02, eta: 6:51:13, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9506, top5_acc: 0.9984, loss_cls: 3.5442, loss: 3.5442 2025-05-06 06:21:09,209 - pyskl - INFO - Epoch [198][300/523] lr: 1.305e-02, eta: 6:50:25, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9378, top5_acc: 0.9981, loss_cls: 3.5673, loss: 3.5673 2025-05-06 06:21:51,667 - pyskl - INFO - Epoch [198][400/523] lr: 1.301e-02, eta: 6:49:37, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 3.5770, loss: 3.5770 2025-05-06 06:22:34,924 - pyskl - INFO - Epoch [198][500/523] lr: 1.297e-02, eta: 6:48:50, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9397, top5_acc: 0.9972, loss_cls: 3.5114, loss: 3.5114 2025-05-06 06:22:45,740 - pyskl - INFO - Saving checkpoint at 198 epochs 2025-05-06 06:23:14,266 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:23:14,337 - pyskl - INFO - top1_acc 0.3588 top5_acc 0.5675 2025-05-06 06:23:14,338 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:23:14,347 - pyskl - INFO - mean_acc 0.3588 2025-05-06 06:23:14,349 - pyskl - INFO - Epoch(val) [198][198] top1_acc: 0.3588, top5_acc: 0.5675, mean_class_accuracy: 0.3588 2025-05-06 06:24:24,084 - pyskl - INFO - Epoch [199][100/523] lr: 1.291e-02, eta: 6:48:00, time: 0.697, data_time: 0.260, memory: 7964, top1_acc: 0.9578, top5_acc: 0.9988, loss_cls: 3.4366, loss: 3.4366 2025-05-06 06:25:06,797 - pyskl - INFO - Epoch [199][200/523] lr: 1.287e-02, eta: 6:47:13, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9553, top5_acc: 0.9988, loss_cls: 3.3265, loss: 3.3265 2025-05-06 06:25:49,144 - pyskl - INFO - Epoch [199][300/523] lr: 1.283e-02, eta: 6:46:25, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 3.4314, loss: 3.4314 2025-05-06 06:26:30,921 - pyskl - INFO - Epoch [199][400/523] lr: 1.278e-02, eta: 6:45:37, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9434, top5_acc: 0.9981, loss_cls: 3.5127, loss: 3.5127 2025-05-06 06:27:12,763 - pyskl - INFO - Epoch [199][500/523] lr: 1.274e-02, eta: 6:44:49, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9287, top5_acc: 0.9966, loss_cls: 3.5850, loss: 3.5850 2025-05-06 06:27:23,042 - pyskl - INFO - Saving checkpoint at 199 epochs 2025-05-06 06:27:51,481 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:27:51,550 - pyskl - INFO - top1_acc 0.3626 top5_acc 0.5697 2025-05-06 06:27:51,550 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:27:51,557 - pyskl - INFO - mean_acc 0.3631 2025-05-06 06:27:51,558 - pyskl - INFO - Epoch(val) [199][198] top1_acc: 0.3626, top5_acc: 0.5697, mean_class_accuracy: 0.3631 2025-05-06 06:29:01,170 - pyskl - INFO - Epoch [200][100/523] lr: 1.268e-02, eta: 6:43:59, time: 0.696, data_time: 0.259, memory: 7964, top1_acc: 0.9531, top5_acc: 0.9978, loss_cls: 3.3283, loss: 3.3283 2025-05-06 06:29:44,209 - pyskl - INFO - Epoch [200][200/523] lr: 1.264e-02, eta: 6:43:11, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9441, top5_acc: 0.9984, loss_cls: 3.4652, loss: 3.4652 2025-05-06 06:30:26,587 - pyskl - INFO - Epoch [200][300/523] lr: 1.260e-02, eta: 6:42:24, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.9428, top5_acc: 0.9978, loss_cls: 3.4066, loss: 3.4066 2025-05-06 06:31:08,300 - pyskl - INFO - Epoch [200][400/523] lr: 1.255e-02, eta: 6:41:35, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.9328, top5_acc: 0.9975, loss_cls: 3.5229, loss: 3.5229 2025-05-06 06:31:51,142 - pyskl - INFO - Epoch [200][500/523] lr: 1.251e-02, eta: 6:40:48, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9325, top5_acc: 0.9975, loss_cls: 3.5033, loss: 3.5033 2025-05-06 06:32:01,650 - pyskl - INFO - Saving checkpoint at 200 epochs 2025-05-06 06:32:30,384 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:32:30,462 - pyskl - INFO - top1_acc 0.3569 top5_acc 0.5616 2025-05-06 06:32:30,462 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:32:30,471 - pyskl - INFO - mean_acc 0.3571 2025-05-06 06:32:30,473 - pyskl - INFO - Epoch(val) [200][198] top1_acc: 0.3569, top5_acc: 0.5616, mean_class_accuracy: 0.3571 2025-05-06 06:33:40,621 - pyskl - INFO - Epoch [201][100/523] lr: 1.246e-02, eta: 6:39:58, time: 0.701, data_time: 0.262, memory: 7964, top1_acc: 0.9541, top5_acc: 0.9988, loss_cls: 3.3512, loss: 3.3512 2025-05-06 06:34:23,505 - pyskl - INFO - Epoch [201][200/523] lr: 1.241e-02, eta: 6:39:11, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9553, top5_acc: 0.9984, loss_cls: 3.3881, loss: 3.3881 2025-05-06 06:35:06,021 - pyskl - INFO - Epoch [201][300/523] lr: 1.237e-02, eta: 6:38:23, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9413, top5_acc: 0.9984, loss_cls: 3.5035, loss: 3.5035 2025-05-06 06:35:48,292 - pyskl - INFO - Epoch [201][400/523] lr: 1.233e-02, eta: 6:37:35, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9325, top5_acc: 0.9972, loss_cls: 3.5907, loss: 3.5907 2025-05-06 06:36:30,272 - pyskl - INFO - Epoch [201][500/523] lr: 1.228e-02, eta: 6:36:47, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9309, top5_acc: 0.9959, loss_cls: 3.6249, loss: 3.6249 2025-05-06 06:36:40,602 - pyskl - INFO - Saving checkpoint at 201 epochs 2025-05-06 06:37:09,228 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:37:09,298 - pyskl - INFO - top1_acc 0.3586 top5_acc 0.5679 2025-05-06 06:37:09,298 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:37:09,307 - pyskl - INFO - mean_acc 0.3583 2025-05-06 06:37:09,309 - pyskl - INFO - Epoch(val) [201][198] top1_acc: 0.3586, top5_acc: 0.5679, mean_class_accuracy: 0.3583 2025-05-06 06:38:18,674 - pyskl - INFO - Epoch [202][100/523] lr: 1.223e-02, eta: 6:35:57, time: 0.694, data_time: 0.267, memory: 7964, top1_acc: 0.9575, top5_acc: 0.9991, loss_cls: 3.3553, loss: 3.3553 2025-05-06 06:39:01,577 - pyskl - INFO - Epoch [202][200/523] lr: 1.219e-02, eta: 6:35:10, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9513, top5_acc: 0.9959, loss_cls: 3.4231, loss: 3.4231 2025-05-06 06:39:44,084 - pyskl - INFO - Epoch [202][300/523] lr: 1.215e-02, eta: 6:34:22, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9403, top5_acc: 0.9969, loss_cls: 3.4831, loss: 3.4831 2025-05-06 06:40:25,949 - pyskl - INFO - Epoch [202][400/523] lr: 1.210e-02, eta: 6:33:34, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9409, top5_acc: 0.9969, loss_cls: 3.4489, loss: 3.4489 2025-05-06 06:41:09,169 - pyskl - INFO - Epoch [202][500/523] lr: 1.206e-02, eta: 6:32:47, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9353, top5_acc: 0.9981, loss_cls: 3.4360, loss: 3.4360 2025-05-06 06:41:19,633 - pyskl - INFO - Saving checkpoint at 202 epochs 2025-05-06 06:41:47,983 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:41:48,053 - pyskl - INFO - top1_acc 0.3577 top5_acc 0.5673 2025-05-06 06:41:48,053 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:41:48,061 - pyskl - INFO - mean_acc 0.3579 2025-05-06 06:41:48,063 - pyskl - INFO - Epoch(val) [202][198] top1_acc: 0.3577, top5_acc: 0.5673, mean_class_accuracy: 0.3579 2025-05-06 06:42:58,089 - pyskl - INFO - Epoch [203][100/523] lr: 1.201e-02, eta: 6:31:57, time: 0.700, data_time: 0.263, memory: 7964, top1_acc: 0.9553, top5_acc: 0.9988, loss_cls: 3.4164, loss: 3.4164 2025-05-06 06:43:41,112 - pyskl - INFO - Epoch [203][200/523] lr: 1.196e-02, eta: 6:31:09, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 3.3879, loss: 3.3879 2025-05-06 06:44:23,008 - pyskl - INFO - Epoch [203][300/523] lr: 1.192e-02, eta: 6:30:21, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9472, top5_acc: 0.9972, loss_cls: 3.4148, loss: 3.4148 2025-05-06 06:45:05,092 - pyskl - INFO - Epoch [203][400/523] lr: 1.188e-02, eta: 6:29:33, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9522, top5_acc: 0.9978, loss_cls: 3.4070, loss: 3.4070 2025-05-06 06:45:46,968 - pyskl - INFO - Epoch [203][500/523] lr: 1.184e-02, eta: 6:28:46, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9437, top5_acc: 0.9984, loss_cls: 3.4003, loss: 3.4003 2025-05-06 06:45:57,276 - pyskl - INFO - Saving checkpoint at 203 epochs 2025-05-06 06:46:25,629 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:46:25,697 - pyskl - INFO - top1_acc 0.3680 top5_acc 0.5705 2025-05-06 06:46:25,698 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:46:25,705 - pyskl - INFO - mean_acc 0.3689 2025-05-06 06:46:25,766 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_196.pth was removed 2025-05-06 06:46:27,404 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_203.pth. 2025-05-06 06:46:27,406 - pyskl - INFO - Best top1_acc is 0.3680 at 203 epoch. 2025-05-06 06:46:27,409 - pyskl - INFO - Epoch(val) [203][198] top1_acc: 0.3680, top5_acc: 0.5705, mean_class_accuracy: 0.3689 2025-05-06 06:47:37,197 - pyskl - INFO - Epoch [204][100/523] lr: 1.178e-02, eta: 6:27:55, time: 0.698, data_time: 0.261, memory: 7964, top1_acc: 0.9641, top5_acc: 0.9997, loss_cls: 3.3257, loss: 3.3257 2025-05-06 06:48:20,784 - pyskl - INFO - Epoch [204][200/523] lr: 1.174e-02, eta: 6:27:08, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 3.3240, loss: 3.3240 2025-05-06 06:49:04,151 - pyskl - INFO - Epoch [204][300/523] lr: 1.170e-02, eta: 6:26:21, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9503, top5_acc: 0.9978, loss_cls: 3.3513, loss: 3.3513 2025-05-06 06:49:46,040 - pyskl - INFO - Epoch [204][400/523] lr: 1.166e-02, eta: 6:25:33, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9497, top5_acc: 0.9984, loss_cls: 3.3720, loss: 3.3720 2025-05-06 06:50:28,916 - pyskl - INFO - Epoch [204][500/523] lr: 1.161e-02, eta: 6:24:46, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 3.5278, loss: 3.5278 2025-05-06 06:50:39,632 - pyskl - INFO - Saving checkpoint at 204 epochs 2025-05-06 06:51:08,048 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:51:08,117 - pyskl - INFO - top1_acc 0.3615 top5_acc 0.5656 2025-05-06 06:51:08,117 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:51:08,125 - pyskl - INFO - mean_acc 0.3616 2025-05-06 06:51:08,127 - pyskl - INFO - Epoch(val) [204][198] top1_acc: 0.3615, top5_acc: 0.5656, mean_class_accuracy: 0.3616 2025-05-06 06:52:17,787 - pyskl - INFO - Epoch [205][100/523] lr: 1.156e-02, eta: 6:23:55, time: 0.697, data_time: 0.270, memory: 7964, top1_acc: 0.9553, top5_acc: 0.9981, loss_cls: 3.2983, loss: 3.2983 2025-05-06 06:53:00,604 - pyskl - INFO - Epoch [205][200/523] lr: 1.152e-02, eta: 6:23:08, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 3.3599, loss: 3.3599 2025-05-06 06:53:43,254 - pyskl - INFO - Epoch [205][300/523] lr: 1.148e-02, eta: 6:22:20, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9591, top5_acc: 0.9997, loss_cls: 3.3374, loss: 3.3374 2025-05-06 06:54:25,607 - pyskl - INFO - Epoch [205][400/523] lr: 1.144e-02, eta: 6:21:33, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9509, top5_acc: 0.9981, loss_cls: 3.3597, loss: 3.3597 2025-05-06 06:55:08,585 - pyskl - INFO - Epoch [205][500/523] lr: 1.139e-02, eta: 6:20:45, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9391, top5_acc: 0.9969, loss_cls: 3.4431, loss: 3.4431 2025-05-06 06:55:19,325 - pyskl - INFO - Saving checkpoint at 205 epochs 2025-05-06 06:55:47,943 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 06:55:48,028 - pyskl - INFO - top1_acc 0.3507 top5_acc 0.5651 2025-05-06 06:55:48,029 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 06:55:48,037 - pyskl - INFO - mean_acc 0.3505 2025-05-06 06:55:48,039 - pyskl - INFO - Epoch(val) [205][198] top1_acc: 0.3507, top5_acc: 0.5651, mean_class_accuracy: 0.3505 2025-05-06 06:56:57,610 - pyskl - INFO - Epoch [206][100/523] lr: 1.134e-02, eta: 6:19:55, time: 0.696, data_time: 0.260, memory: 7964, top1_acc: 0.9659, top5_acc: 0.9994, loss_cls: 3.3227, loss: 3.3227 2025-05-06 06:57:40,721 - pyskl - INFO - Epoch [206][200/523] lr: 1.130e-02, eta: 6:19:08, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 3.4373, loss: 3.4373 2025-05-06 06:58:23,253 - pyskl - INFO - Epoch [206][300/523] lr: 1.126e-02, eta: 6:18:20, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9581, top5_acc: 0.9991, loss_cls: 3.3679, loss: 3.3679 2025-05-06 06:59:05,330 - pyskl - INFO - Epoch [206][400/523] lr: 1.122e-02, eta: 6:17:32, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 3.3686, loss: 3.3686 2025-05-06 06:59:48,484 - pyskl - INFO - Epoch [206][500/523] lr: 1.118e-02, eta: 6:16:45, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9475, top5_acc: 0.9978, loss_cls: 3.4004, loss: 3.4004 2025-05-06 06:59:59,215 - pyskl - INFO - Saving checkpoint at 206 epochs 2025-05-06 07:00:27,861 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:00:27,931 - pyskl - INFO - top1_acc 0.3683 top5_acc 0.5751 2025-05-06 07:00:27,931 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:00:27,939 - pyskl - INFO - mean_acc 0.3694 2025-05-06 07:00:27,998 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_203.pth was removed 2025-05-06 07:00:29,544 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_206.pth. 2025-05-06 07:00:29,546 - pyskl - INFO - Best top1_acc is 0.3683 at 206 epoch. 2025-05-06 07:00:29,548 - pyskl - INFO - Epoch(val) [206][198] top1_acc: 0.3683, top5_acc: 0.5751, mean_class_accuracy: 0.3694 2025-05-06 07:01:38,952 - pyskl - INFO - Epoch [207][100/523] lr: 1.112e-02, eta: 6:15:54, time: 0.694, data_time: 0.260, memory: 7964, top1_acc: 0.9634, top5_acc: 0.9997, loss_cls: 3.3915, loss: 3.3915 2025-05-06 07:02:21,474 - pyskl - INFO - Epoch [207][200/523] lr: 1.108e-02, eta: 6:15:07, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9534, top5_acc: 0.9988, loss_cls: 3.3320, loss: 3.3320 2025-05-06 07:03:03,484 - pyskl - INFO - Epoch [207][300/523] lr: 1.104e-02, eta: 6:14:19, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9591, top5_acc: 0.9997, loss_cls: 3.3371, loss: 3.3371 2025-05-06 07:03:45,329 - pyskl - INFO - Epoch [207][400/523] lr: 1.100e-02, eta: 6:13:31, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 3.4084, loss: 3.4084 2025-05-06 07:04:28,940 - pyskl - INFO - Epoch [207][500/523] lr: 1.096e-02, eta: 6:12:44, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9478, top5_acc: 0.9988, loss_cls: 3.3704, loss: 3.3704 2025-05-06 07:04:39,376 - pyskl - INFO - Saving checkpoint at 207 epochs 2025-05-06 07:05:07,998 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:05:08,069 - pyskl - INFO - top1_acc 0.3726 top5_acc 0.5738 2025-05-06 07:05:08,069 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:05:08,078 - pyskl - INFO - mean_acc 0.3720 2025-05-06 07:05:08,140 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_206.pth was removed 2025-05-06 07:05:09,709 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_207.pth. 2025-05-06 07:05:09,711 - pyskl - INFO - Best top1_acc is 0.3726 at 207 epoch. 2025-05-06 07:05:09,714 - pyskl - INFO - Epoch(val) [207][198] top1_acc: 0.3726, top5_acc: 0.5738, mean_class_accuracy: 0.3720 2025-05-06 07:06:18,732 - pyskl - INFO - Epoch [208][100/523] lr: 1.091e-02, eta: 6:11:53, time: 0.690, data_time: 0.259, memory: 7964, top1_acc: 0.9691, top5_acc: 0.9997, loss_cls: 3.1969, loss: 3.1969 2025-05-06 07:07:01,699 - pyskl - INFO - Epoch [208][200/523] lr: 1.087e-02, eta: 6:11:06, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9659, top5_acc: 0.9991, loss_cls: 3.1961, loss: 3.1961 2025-05-06 07:07:44,363 - pyskl - INFO - Epoch [208][300/523] lr: 1.082e-02, eta: 6:10:19, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9647, top5_acc: 0.9978, loss_cls: 3.2835, loss: 3.2835 2025-05-06 07:08:26,392 - pyskl - INFO - Epoch [208][400/523] lr: 1.078e-02, eta: 6:09:31, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 3.2927, loss: 3.2927 2025-05-06 07:09:09,414 - pyskl - INFO - Epoch [208][500/523] lr: 1.074e-02, eta: 6:08:44, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9516, top5_acc: 0.9981, loss_cls: 3.2779, loss: 3.2779 2025-05-06 07:09:20,175 - pyskl - INFO - Saving checkpoint at 208 epochs 2025-05-06 07:09:48,693 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:09:48,764 - pyskl - INFO - top1_acc 0.3721 top5_acc 0.5724 2025-05-06 07:09:48,764 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:09:48,772 - pyskl - INFO - mean_acc 0.3722 2025-05-06 07:09:48,774 - pyskl - INFO - Epoch(val) [208][198] top1_acc: 0.3721, top5_acc: 0.5724, mean_class_accuracy: 0.3722 2025-05-06 07:10:58,208 - pyskl - INFO - Epoch [209][100/523] lr: 1.069e-02, eta: 6:07:53, time: 0.694, data_time: 0.263, memory: 7964, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 3.2115, loss: 3.2115 2025-05-06 07:11:41,111 - pyskl - INFO - Epoch [209][200/523] lr: 1.065e-02, eta: 6:07:05, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 3.3105, loss: 3.3105 2025-05-06 07:12:24,301 - pyskl - INFO - Epoch [209][300/523] lr: 1.061e-02, eta: 6:06:18, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 3.3898, loss: 3.3898 2025-05-06 07:13:06,071 - pyskl - INFO - Epoch [209][400/523] lr: 1.057e-02, eta: 6:05:30, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 3.3556, loss: 3.3556 2025-05-06 07:13:49,264 - pyskl - INFO - Epoch [209][500/523] lr: 1.053e-02, eta: 6:04:43, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9559, top5_acc: 0.9984, loss_cls: 3.3371, loss: 3.3371 2025-05-06 07:13:59,899 - pyskl - INFO - Saving checkpoint at 209 epochs 2025-05-06 07:14:28,712 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:14:28,782 - pyskl - INFO - top1_acc 0.3572 top5_acc 0.5643 2025-05-06 07:14:28,783 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:14:28,791 - pyskl - INFO - mean_acc 0.3573 2025-05-06 07:14:28,792 - pyskl - INFO - Epoch(val) [209][198] top1_acc: 0.3572, top5_acc: 0.5643, mean_class_accuracy: 0.3573 2025-05-06 07:15:37,844 - pyskl - INFO - Epoch [210][100/523] lr: 1.048e-02, eta: 6:03:52, time: 0.690, data_time: 0.262, memory: 7964, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 3.3151, loss: 3.3151 2025-05-06 07:16:21,167 - pyskl - INFO - Epoch [210][200/523] lr: 1.044e-02, eta: 6:03:05, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9719, top5_acc: 0.9997, loss_cls: 3.2257, loss: 3.2257 2025-05-06 07:17:04,042 - pyskl - INFO - Epoch [210][300/523] lr: 1.040e-02, eta: 6:02:18, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 3.3732, loss: 3.3732 2025-05-06 07:17:46,202 - pyskl - INFO - Epoch [210][400/523] lr: 1.036e-02, eta: 6:01:30, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9534, top5_acc: 0.9981, loss_cls: 3.2877, loss: 3.2877 2025-05-06 07:18:29,731 - pyskl - INFO - Epoch [210][500/523] lr: 1.032e-02, eta: 6:00:43, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9528, top5_acc: 0.9988, loss_cls: 3.2432, loss: 3.2432 2025-05-06 07:18:40,437 - pyskl - INFO - Saving checkpoint at 210 epochs 2025-05-06 07:19:09,174 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:19:09,245 - pyskl - INFO - top1_acc 0.3726 top5_acc 0.5770 2025-05-06 07:19:09,245 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:19:09,253 - pyskl - INFO - mean_acc 0.3727 2025-05-06 07:19:09,255 - pyskl - INFO - Epoch(val) [210][198] top1_acc: 0.3726, top5_acc: 0.5770, mean_class_accuracy: 0.3727 2025-05-06 07:20:18,429 - pyskl - INFO - Epoch [211][100/523] lr: 1.027e-02, eta: 5:59:52, time: 0.692, data_time: 0.263, memory: 7964, top1_acc: 0.9706, top5_acc: 0.9991, loss_cls: 3.3215, loss: 3.3215 2025-05-06 07:21:01,080 - pyskl - INFO - Epoch [211][200/523] lr: 1.022e-02, eta: 5:59:05, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9684, top5_acc: 0.9997, loss_cls: 3.3251, loss: 3.3251 2025-05-06 07:21:44,366 - pyskl - INFO - Epoch [211][300/523] lr: 1.018e-02, eta: 5:58:17, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9656, top5_acc: 0.9997, loss_cls: 3.1822, loss: 3.1822 2025-05-06 07:22:26,363 - pyskl - INFO - Epoch [211][400/523] lr: 1.014e-02, eta: 5:57:30, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9603, top5_acc: 0.9984, loss_cls: 3.3952, loss: 3.3952 2025-05-06 07:23:09,002 - pyskl - INFO - Epoch [211][500/523] lr: 1.010e-02, eta: 5:56:42, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9559, top5_acc: 0.9984, loss_cls: 3.4220, loss: 3.4220 2025-05-06 07:23:19,531 - pyskl - INFO - Saving checkpoint at 211 epochs 2025-05-06 07:23:48,005 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:23:48,074 - pyskl - INFO - top1_acc 0.3680 top5_acc 0.5678 2025-05-06 07:23:48,075 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:23:48,082 - pyskl - INFO - mean_acc 0.3687 2025-05-06 07:23:48,084 - pyskl - INFO - Epoch(val) [211][198] top1_acc: 0.3680, top5_acc: 0.5678, mean_class_accuracy: 0.3687 2025-05-06 07:24:57,837 - pyskl - INFO - Epoch [212][100/523] lr: 1.005e-02, eta: 5:55:52, time: 0.697, data_time: 0.264, memory: 7964, top1_acc: 0.9700, top5_acc: 0.9991, loss_cls: 3.1681, loss: 3.1681 2025-05-06 07:25:41,368 - pyskl - INFO - Epoch [212][200/523] lr: 1.001e-02, eta: 5:55:05, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 3.2364, loss: 3.2364 2025-05-06 07:26:24,363 - pyskl - INFO - Epoch [212][300/523] lr: 9.974e-03, eta: 5:54:17, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9709, top5_acc: 0.9988, loss_cls: 3.2006, loss: 3.2006 2025-05-06 07:27:06,361 - pyskl - INFO - Epoch [212][400/523] lr: 9.935e-03, eta: 5:53:30, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9741, top5_acc: 0.9994, loss_cls: 3.3093, loss: 3.3093 2025-05-06 07:27:49,067 - pyskl - INFO - Epoch [212][500/523] lr: 9.895e-03, eta: 5:52:42, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9547, top5_acc: 0.9988, loss_cls: 3.2688, loss: 3.2688 2025-05-06 07:27:59,296 - pyskl - INFO - Saving checkpoint at 212 epochs 2025-05-06 07:28:27,720 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:28:27,790 - pyskl - INFO - top1_acc 0.3678 top5_acc 0.5792 2025-05-06 07:28:27,790 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:28:27,798 - pyskl - INFO - mean_acc 0.3675 2025-05-06 07:28:27,800 - pyskl - INFO - Epoch(val) [212][198] top1_acc: 0.3678, top5_acc: 0.5792, mean_class_accuracy: 0.3675 2025-05-06 07:29:35,633 - pyskl - INFO - Epoch [213][100/523] lr: 9.846e-03, eta: 5:51:51, time: 0.678, data_time: 0.259, memory: 7964, top1_acc: 0.9759, top5_acc: 0.9997, loss_cls: 3.0914, loss: 3.0914 2025-05-06 07:30:17,642 - pyskl - INFO - Epoch [213][200/523] lr: 9.806e-03, eta: 5:51:03, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9716, top5_acc: 0.9994, loss_cls: 3.2267, loss: 3.2267 2025-05-06 07:30:59,905 - pyskl - INFO - Epoch [213][300/523] lr: 9.766e-03, eta: 5:50:15, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9678, top5_acc: 0.9988, loss_cls: 3.2309, loss: 3.2309 2025-05-06 07:31:42,076 - pyskl - INFO - Epoch [213][400/523] lr: 9.726e-03, eta: 5:49:28, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9659, top5_acc: 0.9997, loss_cls: 3.1691, loss: 3.1691 2025-05-06 07:32:23,943 - pyskl - INFO - Epoch [213][500/523] lr: 9.687e-03, eta: 5:48:40, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 3.2679, loss: 3.2679 2025-05-06 07:32:34,222 - pyskl - INFO - Saving checkpoint at 213 epochs 2025-05-06 07:33:02,740 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:33:02,814 - pyskl - INFO - top1_acc 0.3731 top5_acc 0.5775 2025-05-06 07:33:02,814 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:33:02,823 - pyskl - INFO - mean_acc 0.3726 2025-05-06 07:33:02,883 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_207.pth was removed 2025-05-06 07:33:04,491 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_213.pth. 2025-05-06 07:33:04,493 - pyskl - INFO - Best top1_acc is 0.3731 at 213 epoch. 2025-05-06 07:33:04,497 - pyskl - INFO - Epoch(val) [213][198] top1_acc: 0.3731, top5_acc: 0.5775, mean_class_accuracy: 0.3726 2025-05-06 07:34:14,186 - pyskl - INFO - Epoch [214][100/523] lr: 9.638e-03, eta: 5:47:49, time: 0.697, data_time: 0.280, memory: 7964, top1_acc: 0.9747, top5_acc: 1.0000, loss_cls: 3.0895, loss: 3.0895 2025-05-06 07:34:56,921 - pyskl - INFO - Epoch [214][200/523] lr: 9.599e-03, eta: 5:47:02, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 3.0723, loss: 3.0723 2025-05-06 07:35:39,736 - pyskl - INFO - Epoch [214][300/523] lr: 9.559e-03, eta: 5:46:15, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9666, top5_acc: 0.9984, loss_cls: 3.2458, loss: 3.2458 2025-05-06 07:36:21,909 - pyskl - INFO - Epoch [214][400/523] lr: 9.520e-03, eta: 5:45:27, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9672, top5_acc: 0.9997, loss_cls: 3.2138, loss: 3.2138 2025-05-06 07:37:03,828 - pyskl - INFO - Epoch [214][500/523] lr: 9.481e-03, eta: 5:44:40, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9559, top5_acc: 0.9991, loss_cls: 3.3495, loss: 3.3495 2025-05-06 07:37:14,319 - pyskl - INFO - Saving checkpoint at 214 epochs 2025-05-06 07:37:43,122 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:37:43,195 - pyskl - INFO - top1_acc 0.3721 top5_acc 0.5740 2025-05-06 07:37:43,195 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:37:43,205 - pyskl - INFO - mean_acc 0.3725 2025-05-06 07:37:43,208 - pyskl - INFO - Epoch(val) [214][198] top1_acc: 0.3721, top5_acc: 0.5740, mean_class_accuracy: 0.3725 2025-05-06 07:38:52,683 - pyskl - INFO - Epoch [215][100/523] lr: 9.432e-03, eta: 5:43:48, time: 0.695, data_time: 0.265, memory: 7964, top1_acc: 0.9812, top5_acc: 0.9997, loss_cls: 3.1182, loss: 3.1182 2025-05-06 07:39:35,437 - pyskl - INFO - Epoch [215][200/523] lr: 9.393e-03, eta: 5:43:01, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9775, top5_acc: 0.9997, loss_cls: 3.1728, loss: 3.1728 2025-05-06 07:40:19,061 - pyskl - INFO - Epoch [215][300/523] lr: 9.354e-03, eta: 5:42:14, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9706, top5_acc: 0.9997, loss_cls: 3.2395, loss: 3.2395 2025-05-06 07:41:01,227 - pyskl - INFO - Epoch [215][400/523] lr: 9.315e-03, eta: 5:41:27, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9759, top5_acc: 0.9994, loss_cls: 3.2662, loss: 3.2662 2025-05-06 07:41:43,215 - pyskl - INFO - Epoch [215][500/523] lr: 9.276e-03, eta: 5:40:39, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9631, top5_acc: 0.9984, loss_cls: 3.2731, loss: 3.2731 2025-05-06 07:41:53,698 - pyskl - INFO - Saving checkpoint at 215 epochs 2025-05-06 07:42:22,262 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:42:22,330 - pyskl - INFO - top1_acc 0.3664 top5_acc 0.5738 2025-05-06 07:42:22,330 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:42:22,337 - pyskl - INFO - mean_acc 0.3673 2025-05-06 07:42:22,339 - pyskl - INFO - Epoch(val) [215][198] top1_acc: 0.3664, top5_acc: 0.5738, mean_class_accuracy: 0.3673 2025-05-06 07:43:30,740 - pyskl - INFO - Epoch [216][100/523] lr: 9.229e-03, eta: 5:39:47, time: 0.684, data_time: 0.263, memory: 7964, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 3.1621, loss: 3.1621 2025-05-06 07:44:13,829 - pyskl - INFO - Epoch [216][200/523] lr: 9.190e-03, eta: 5:39:00, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9781, top5_acc: 0.9997, loss_cls: 3.0782, loss: 3.0782 2025-05-06 07:44:56,529 - pyskl - INFO - Epoch [216][300/523] lr: 9.151e-03, eta: 5:38:13, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 3.1040, loss: 3.1040 2025-05-06 07:45:38,689 - pyskl - INFO - Epoch [216][400/523] lr: 9.112e-03, eta: 5:37:25, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9703, top5_acc: 0.9988, loss_cls: 3.2130, loss: 3.2130 2025-05-06 07:46:20,508 - pyskl - INFO - Epoch [216][500/523] lr: 9.074e-03, eta: 5:36:38, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 3.2179, loss: 3.2179 2025-05-06 07:46:30,781 - pyskl - INFO - Saving checkpoint at 216 epochs 2025-05-06 07:46:59,455 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:46:59,528 - pyskl - INFO - top1_acc 0.3702 top5_acc 0.5748 2025-05-06 07:46:59,528 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:46:59,538 - pyskl - INFO - mean_acc 0.3721 2025-05-06 07:46:59,541 - pyskl - INFO - Epoch(val) [216][198] top1_acc: 0.3702, top5_acc: 0.5748, mean_class_accuracy: 0.3721 2025-05-06 07:48:09,932 - pyskl - INFO - Epoch [217][100/523] lr: 9.026e-03, eta: 5:35:47, time: 0.704, data_time: 0.271, memory: 7964, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 3.1507, loss: 3.1507 2025-05-06 07:48:52,917 - pyskl - INFO - Epoch [217][200/523] lr: 8.988e-03, eta: 5:35:00, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9834, top5_acc: 1.0000, loss_cls: 3.0678, loss: 3.0678 2025-05-06 07:49:36,485 - pyskl - INFO - Epoch [217][300/523] lr: 8.949e-03, eta: 5:34:13, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9772, top5_acc: 1.0000, loss_cls: 3.0447, loss: 3.0447 2025-05-06 07:50:18,847 - pyskl - INFO - Epoch [217][400/523] lr: 8.911e-03, eta: 5:33:25, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.9784, top5_acc: 0.9994, loss_cls: 3.1695, loss: 3.1695 2025-05-06 07:51:01,045 - pyskl - INFO - Epoch [217][500/523] lr: 8.873e-03, eta: 5:32:38, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9703, top5_acc: 0.9997, loss_cls: 3.0916, loss: 3.0916 2025-05-06 07:51:11,364 - pyskl - INFO - Saving checkpoint at 217 epochs 2025-05-06 07:51:40,202 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:51:40,275 - pyskl - INFO - top1_acc 0.3632 top5_acc 0.5659 2025-05-06 07:51:40,276 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:51:40,284 - pyskl - INFO - mean_acc 0.3637 2025-05-06 07:51:40,285 - pyskl - INFO - Epoch(val) [217][198] top1_acc: 0.3632, top5_acc: 0.5659, mean_class_accuracy: 0.3637 2025-05-06 07:52:49,331 - pyskl - INFO - Epoch [218][100/523] lr: 8.826e-03, eta: 5:31:46, time: 0.690, data_time: 0.265, memory: 7964, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 3.1195, loss: 3.1195 2025-05-06 07:53:31,545 - pyskl - INFO - Epoch [218][200/523] lr: 8.788e-03, eta: 5:30:59, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 3.0708, loss: 3.0708 2025-05-06 07:54:14,561 - pyskl - INFO - Epoch [218][300/523] lr: 8.750e-03, eta: 5:30:12, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9762, top5_acc: 0.9997, loss_cls: 3.1563, loss: 3.1563 2025-05-06 07:54:57,110 - pyskl - INFO - Epoch [218][400/523] lr: 8.712e-03, eta: 5:29:24, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 3.1664, loss: 3.1664 2025-05-06 07:55:39,580 - pyskl - INFO - Epoch [218][500/523] lr: 8.674e-03, eta: 5:28:37, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9741, top5_acc: 0.9997, loss_cls: 3.2215, loss: 3.2215 2025-05-06 07:55:50,367 - pyskl - INFO - Saving checkpoint at 218 epochs 2025-05-06 07:56:19,033 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 07:56:19,106 - pyskl - INFO - top1_acc 0.3720 top5_acc 0.5668 2025-05-06 07:56:19,107 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 07:56:19,116 - pyskl - INFO - mean_acc 0.3729 2025-05-06 07:56:19,119 - pyskl - INFO - Epoch(val) [218][198] top1_acc: 0.3720, top5_acc: 0.5668, mean_class_accuracy: 0.3729 2025-05-06 07:57:28,200 - pyskl - INFO - Epoch [219][100/523] lr: 8.627e-03, eta: 5:27:45, time: 0.691, data_time: 0.263, memory: 7964, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 3.0179, loss: 3.0179 2025-05-06 07:58:11,898 - pyskl - INFO - Epoch [219][200/523] lr: 8.589e-03, eta: 5:26:59, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9831, top5_acc: 0.9997, loss_cls: 3.2126, loss: 3.2126 2025-05-06 07:58:54,655 - pyskl - INFO - Epoch [219][300/523] lr: 8.551e-03, eta: 5:26:11, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9781, top5_acc: 0.9997, loss_cls: 3.0242, loss: 3.0242 2025-05-06 07:59:36,996 - pyskl - INFO - Epoch [219][400/523] lr: 8.514e-03, eta: 5:25:24, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9678, top5_acc: 0.9994, loss_cls: 3.1560, loss: 3.1560 2025-05-06 08:00:19,141 - pyskl - INFO - Epoch [219][500/523] lr: 8.476e-03, eta: 5:24:37, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9659, top5_acc: 0.9988, loss_cls: 3.1734, loss: 3.1734 2025-05-06 08:00:29,626 - pyskl - INFO - Saving checkpoint at 219 epochs 2025-05-06 08:00:58,037 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:00:58,107 - pyskl - INFO - top1_acc 0.3743 top5_acc 0.5757 2025-05-06 08:00:58,108 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:00:58,116 - pyskl - INFO - mean_acc 0.3730 2025-05-06 08:00:58,179 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_213.pth was removed 2025-05-06 08:01:00,060 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_219.pth. 2025-05-06 08:01:00,063 - pyskl - INFO - Best top1_acc is 0.3743 at 219 epoch. 2025-05-06 08:01:00,070 - pyskl - INFO - Epoch(val) [219][198] top1_acc: 0.3743, top5_acc: 0.5757, mean_class_accuracy: 0.3730 2025-05-06 08:02:11,787 - pyskl - INFO - Epoch [220][100/523] lr: 8.430e-03, eta: 5:23:46, time: 0.717, data_time: 0.285, memory: 7964, top1_acc: 0.9822, top5_acc: 1.0000, loss_cls: 3.0604, loss: 3.0604 2025-05-06 08:02:55,181 - pyskl - INFO - Epoch [220][200/523] lr: 8.393e-03, eta: 5:22:59, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9809, top5_acc: 1.0000, loss_cls: 3.1649, loss: 3.1649 2025-05-06 08:03:38,753 - pyskl - INFO - Epoch [220][300/523] lr: 8.355e-03, eta: 5:22:12, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9778, top5_acc: 1.0000, loss_cls: 3.0874, loss: 3.0874 2025-05-06 08:04:20,801 - pyskl - INFO - Epoch [220][400/523] lr: 8.318e-03, eta: 5:21:25, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9766, top5_acc: 0.9997, loss_cls: 3.1278, loss: 3.1278 2025-05-06 08:05:03,017 - pyskl - INFO - Epoch [220][500/523] lr: 8.281e-03, eta: 5:20:37, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9762, top5_acc: 0.9997, loss_cls: 3.0767, loss: 3.0767 2025-05-06 08:05:13,629 - pyskl - INFO - Saving checkpoint at 220 epochs 2025-05-06 08:05:42,067 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:05:42,140 - pyskl - INFO - top1_acc 0.3791 top5_acc 0.5832 2025-05-06 08:05:42,140 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:05:42,149 - pyskl - INFO - mean_acc 0.3791 2025-05-06 08:05:42,224 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_219.pth was removed 2025-05-06 08:05:43,877 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_220.pth. 2025-05-06 08:05:43,879 - pyskl - INFO - Best top1_acc is 0.3791 at 220 epoch. 2025-05-06 08:05:43,881 - pyskl - INFO - Epoch(val) [220][198] top1_acc: 0.3791, top5_acc: 0.5832, mean_class_accuracy: 0.3791 2025-05-06 08:06:53,556 - pyskl - INFO - Epoch [221][100/523] lr: 8.235e-03, eta: 5:19:46, time: 0.697, data_time: 0.262, memory: 7964, top1_acc: 0.9872, top5_acc: 0.9997, loss_cls: 2.9326, loss: 2.9326 2025-05-06 08:07:36,210 - pyskl - INFO - Epoch [221][200/523] lr: 8.198e-03, eta: 5:18:58, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9828, top5_acc: 0.9994, loss_cls: 3.0009, loss: 3.0009 2025-05-06 08:08:18,760 - pyskl - INFO - Epoch [221][300/523] lr: 8.161e-03, eta: 5:18:11, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9831, top5_acc: 0.9997, loss_cls: 3.0578, loss: 3.0578 2025-05-06 08:09:01,486 - pyskl - INFO - Epoch [221][400/523] lr: 8.124e-03, eta: 5:17:24, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9778, top5_acc: 0.9997, loss_cls: 2.8974, loss: 2.8974 2025-05-06 08:09:43,290 - pyskl - INFO - Epoch [221][500/523] lr: 8.087e-03, eta: 5:16:37, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9762, top5_acc: 0.9991, loss_cls: 3.1041, loss: 3.1041 2025-05-06 08:09:53,549 - pyskl - INFO - Saving checkpoint at 221 epochs 2025-05-06 08:10:22,163 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:10:22,234 - pyskl - INFO - top1_acc 0.3747 top5_acc 0.5743 2025-05-06 08:10:22,234 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:10:22,242 - pyskl - INFO - mean_acc 0.3755 2025-05-06 08:10:22,243 - pyskl - INFO - Epoch(val) [221][198] top1_acc: 0.3747, top5_acc: 0.5743, mean_class_accuracy: 0.3755 2025-05-06 08:11:30,680 - pyskl - INFO - Epoch [222][100/523] lr: 8.042e-03, eta: 5:15:44, time: 0.684, data_time: 0.259, memory: 7964, top1_acc: 0.9878, top5_acc: 1.0000, loss_cls: 2.9306, loss: 2.9306 2025-05-06 08:12:14,361 - pyskl - INFO - Epoch [222][200/523] lr: 8.005e-03, eta: 5:14:58, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9778, top5_acc: 0.9991, loss_cls: 3.1783, loss: 3.1783 2025-05-06 08:12:58,016 - pyskl - INFO - Epoch [222][300/523] lr: 7.968e-03, eta: 5:14:11, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 3.0753, loss: 3.0753 2025-05-06 08:13:40,340 - pyskl - INFO - Epoch [222][400/523] lr: 7.932e-03, eta: 5:13:24, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9766, top5_acc: 0.9997, loss_cls: 3.0589, loss: 3.0589 2025-05-06 08:14:22,060 - pyskl - INFO - Epoch [222][500/523] lr: 7.895e-03, eta: 5:12:36, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.9759, top5_acc: 0.9997, loss_cls: 3.0570, loss: 3.0570 2025-05-06 08:14:32,398 - pyskl - INFO - Saving checkpoint at 222 epochs 2025-05-06 08:15:01,258 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:15:01,329 - pyskl - INFO - top1_acc 0.3785 top5_acc 0.5825 2025-05-06 08:15:01,329 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:15:01,338 - pyskl - INFO - mean_acc 0.3786 2025-05-06 08:15:01,340 - pyskl - INFO - Epoch(val) [222][198] top1_acc: 0.3785, top5_acc: 0.5825, mean_class_accuracy: 0.3786 2025-05-06 08:16:10,888 - pyskl - INFO - Epoch [223][100/523] lr: 7.850e-03, eta: 5:11:44, time: 0.695, data_time: 0.265, memory: 7964, top1_acc: 0.9838, top5_acc: 0.9997, loss_cls: 3.0308, loss: 3.0308 2025-05-06 08:16:53,860 - pyskl - INFO - Epoch [223][200/523] lr: 7.814e-03, eta: 5:10:57, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9844, top5_acc: 0.9997, loss_cls: 3.1065, loss: 3.1065 2025-05-06 08:17:37,807 - pyskl - INFO - Epoch [223][300/523] lr: 7.778e-03, eta: 5:10:11, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 3.0950, loss: 3.0950 2025-05-06 08:18:20,491 - pyskl - INFO - Epoch [223][400/523] lr: 7.741e-03, eta: 5:09:23, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9772, top5_acc: 0.9997, loss_cls: 3.1069, loss: 3.1069 2025-05-06 08:19:03,080 - pyskl - INFO - Epoch [223][500/523] lr: 7.705e-03, eta: 5:08:36, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9778, top5_acc: 0.9997, loss_cls: 3.0123, loss: 3.0123 2025-05-06 08:19:13,947 - pyskl - INFO - Saving checkpoint at 223 epochs 2025-05-06 08:19:42,707 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:19:42,779 - pyskl - INFO - top1_acc 0.3726 top5_acc 0.5705 2025-05-06 08:19:42,780 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:19:42,789 - pyskl - INFO - mean_acc 0.3707 2025-05-06 08:19:42,791 - pyskl - INFO - Epoch(val) [223][198] top1_acc: 0.3726, top5_acc: 0.5705, mean_class_accuracy: 0.3707 2025-05-06 08:20:51,960 - pyskl - INFO - Epoch [224][100/523] lr: 7.661e-03, eta: 5:07:44, time: 0.692, data_time: 0.260, memory: 7964, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 3.0801, loss: 3.0801 2025-05-06 08:21:35,529 - pyskl - INFO - Epoch [224][200/523] lr: 7.625e-03, eta: 5:06:57, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 2.9815, loss: 2.9815 2025-05-06 08:22:19,134 - pyskl - INFO - Epoch [224][300/523] lr: 7.589e-03, eta: 5:06:11, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9834, top5_acc: 1.0000, loss_cls: 3.0451, loss: 3.0451 2025-05-06 08:23:01,762 - pyskl - INFO - Epoch [224][400/523] lr: 7.553e-03, eta: 5:05:24, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 3.0337, loss: 3.0337 2025-05-06 08:23:43,876 - pyskl - INFO - Epoch [224][500/523] lr: 7.517e-03, eta: 5:04:36, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9753, top5_acc: 0.9997, loss_cls: 2.9691, loss: 2.9691 2025-05-06 08:23:54,169 - pyskl - INFO - Saving checkpoint at 224 epochs 2025-05-06 08:24:22,720 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:24:22,789 - pyskl - INFO - top1_acc 0.3778 top5_acc 0.5809 2025-05-06 08:24:22,789 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:24:22,797 - pyskl - INFO - mean_acc 0.3770 2025-05-06 08:24:22,798 - pyskl - INFO - Epoch(val) [224][198] top1_acc: 0.3778, top5_acc: 0.5809, mean_class_accuracy: 0.3770 2025-05-06 08:25:31,525 - pyskl - INFO - Epoch [225][100/523] lr: 7.473e-03, eta: 5:03:44, time: 0.687, data_time: 0.260, memory: 7964, top1_acc: 0.9828, top5_acc: 0.9997, loss_cls: 3.0201, loss: 3.0201 2025-05-06 08:26:13,961 - pyskl - INFO - Epoch [225][200/523] lr: 7.437e-03, eta: 5:02:57, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 3.0955, loss: 3.0955 2025-05-06 08:26:56,283 - pyskl - INFO - Epoch [225][300/523] lr: 7.402e-03, eta: 5:02:10, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 3.0015, loss: 3.0015 2025-05-06 08:27:38,873 - pyskl - INFO - Epoch [225][400/523] lr: 7.366e-03, eta: 5:01:22, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 3.0497, loss: 3.0497 2025-05-06 08:28:20,889 - pyskl - INFO - Epoch [225][500/523] lr: 7.331e-03, eta: 5:00:35, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9853, top5_acc: 0.9997, loss_cls: 3.1503, loss: 3.1503 2025-05-06 08:28:31,548 - pyskl - INFO - Saving checkpoint at 225 epochs 2025-05-06 08:29:00,033 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:29:00,105 - pyskl - INFO - top1_acc 0.3807 top5_acc 0.5830 2025-05-06 08:29:00,105 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:29:00,115 - pyskl - INFO - mean_acc 0.3801 2025-05-06 08:29:00,173 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_220.pth was removed 2025-05-06 08:29:01,810 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_225.pth. 2025-05-06 08:29:01,812 - pyskl - INFO - Best top1_acc is 0.3807 at 225 epoch. 2025-05-06 08:29:01,815 - pyskl - INFO - Epoch(val) [225][198] top1_acc: 0.3807, top5_acc: 0.5830, mean_class_accuracy: 0.3801 2025-05-06 08:30:11,636 - pyskl - INFO - Epoch [226][100/523] lr: 7.287e-03, eta: 4:59:43, time: 0.698, data_time: 0.260, memory: 7964, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 2.9743, loss: 2.9743 2025-05-06 08:30:55,431 - pyskl - INFO - Epoch [226][200/523] lr: 7.252e-03, eta: 4:58:56, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.9542, loss: 2.9542 2025-05-06 08:31:39,231 - pyskl - INFO - Epoch [226][300/523] lr: 7.217e-03, eta: 4:58:10, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 3.0346, loss: 3.0346 2025-05-06 08:32:22,252 - pyskl - INFO - Epoch [226][400/523] lr: 7.182e-03, eta: 4:57:23, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 3.0474, loss: 3.0474 2025-05-06 08:33:04,094 - pyskl - INFO - Epoch [226][500/523] lr: 7.147e-03, eta: 4:56:35, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 3.0228, loss: 3.0228 2025-05-06 08:33:14,518 - pyskl - INFO - Saving checkpoint at 226 epochs 2025-05-06 08:33:43,186 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:33:43,258 - pyskl - INFO - top1_acc 0.3726 top5_acc 0.5819 2025-05-06 08:33:43,258 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:33:43,268 - pyskl - INFO - mean_acc 0.3727 2025-05-06 08:33:43,270 - pyskl - INFO - Epoch(val) [226][198] top1_acc: 0.3726, top5_acc: 0.5819, mean_class_accuracy: 0.3727 2025-05-06 08:34:52,557 - pyskl - INFO - Epoch [227][100/523] lr: 7.104e-03, eta: 4:55:43, time: 0.693, data_time: 0.258, memory: 7964, top1_acc: 0.9897, top5_acc: 1.0000, loss_cls: 3.0113, loss: 3.0113 2025-05-06 08:35:35,765 - pyskl - INFO - Epoch [227][200/523] lr: 7.069e-03, eta: 4:54:56, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9866, top5_acc: 1.0000, loss_cls: 2.9450, loss: 2.9450 2025-05-06 08:36:19,654 - pyskl - INFO - Epoch [227][300/523] lr: 7.034e-03, eta: 4:54:10, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9828, top5_acc: 1.0000, loss_cls: 3.0222, loss: 3.0222 2025-05-06 08:37:02,159 - pyskl - INFO - Epoch [227][400/523] lr: 6.999e-03, eta: 4:53:23, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 3.0465, loss: 3.0465 2025-05-06 08:37:44,264 - pyskl - INFO - Epoch [227][500/523] lr: 6.964e-03, eta: 4:52:35, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9856, top5_acc: 0.9997, loss_cls: 2.9831, loss: 2.9831 2025-05-06 08:37:54,587 - pyskl - INFO - Saving checkpoint at 227 epochs 2025-05-06 08:38:23,070 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:38:23,139 - pyskl - INFO - top1_acc 0.3807 top5_acc 0.5741 2025-05-06 08:38:23,139 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:38:23,146 - pyskl - INFO - mean_acc 0.3818 2025-05-06 08:38:23,148 - pyskl - INFO - Epoch(val) [227][198] top1_acc: 0.3807, top5_acc: 0.5741, mean_class_accuracy: 0.3818 2025-05-06 08:39:32,568 - pyskl - INFO - Epoch [228][100/523] lr: 6.922e-03, eta: 4:51:43, time: 0.694, data_time: 0.259, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.8744, loss: 2.8744 2025-05-06 08:40:16,085 - pyskl - INFO - Epoch [228][200/523] lr: 6.887e-03, eta: 4:50:56, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.8481, loss: 2.8481 2025-05-06 08:40:59,485 - pyskl - INFO - Epoch [228][300/523] lr: 6.853e-03, eta: 4:50:09, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9884, top5_acc: 1.0000, loss_cls: 2.8801, loss: 2.8801 2025-05-06 08:41:42,719 - pyskl - INFO - Epoch [228][400/523] lr: 6.818e-03, eta: 4:49:23, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 3.0137, loss: 3.0137 2025-05-06 08:42:24,629 - pyskl - INFO - Epoch [228][500/523] lr: 6.784e-03, eta: 4:48:35, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9850, top5_acc: 0.9997, loss_cls: 3.0338, loss: 3.0338 2025-05-06 08:42:35,342 - pyskl - INFO - Saving checkpoint at 228 epochs 2025-05-06 08:43:03,827 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:43:03,899 - pyskl - INFO - top1_acc 0.3791 top5_acc 0.5787 2025-05-06 08:43:03,900 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:43:03,909 - pyskl - INFO - mean_acc 0.3777 2025-05-06 08:43:03,911 - pyskl - INFO - Epoch(val) [228][198] top1_acc: 0.3791, top5_acc: 0.5787, mean_class_accuracy: 0.3777 2025-05-06 08:44:11,396 - pyskl - INFO - Epoch [229][100/523] lr: 6.742e-03, eta: 4:47:42, time: 0.675, data_time: 0.255, memory: 7964, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.9958, loss: 2.9958 2025-05-06 08:44:53,297 - pyskl - INFO - Epoch [229][200/523] lr: 6.708e-03, eta: 4:46:55, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.8370, loss: 2.8370 2025-05-06 08:45:35,347 - pyskl - INFO - Epoch [229][300/523] lr: 6.674e-03, eta: 4:46:08, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 2.8929, loss: 2.8929 2025-05-06 08:46:17,779 - pyskl - INFO - Epoch [229][400/523] lr: 6.640e-03, eta: 4:45:21, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.9822, top5_acc: 1.0000, loss_cls: 2.9771, loss: 2.9771 2025-05-06 08:46:59,856 - pyskl - INFO - Epoch [229][500/523] lr: 6.606e-03, eta: 4:44:34, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9828, top5_acc: 0.9997, loss_cls: 2.9902, loss: 2.9902 2025-05-06 08:47:10,253 - pyskl - INFO - Saving checkpoint at 229 epochs 2025-05-06 08:47:38,843 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:47:38,913 - pyskl - INFO - top1_acc 0.3801 top5_acc 0.5809 2025-05-06 08:47:38,913 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:47:38,921 - pyskl - INFO - mean_acc 0.3801 2025-05-06 08:47:38,922 - pyskl - INFO - Epoch(val) [229][198] top1_acc: 0.3801, top5_acc: 0.5809, mean_class_accuracy: 0.3801 2025-05-06 08:48:48,769 - pyskl - INFO - Epoch [230][100/523] lr: 6.564e-03, eta: 4:43:41, time: 0.698, data_time: 0.263, memory: 7964, top1_acc: 0.9900, top5_acc: 0.9997, loss_cls: 2.9118, loss: 2.9118 2025-05-06 08:49:32,810 - pyskl - INFO - Epoch [230][200/523] lr: 6.530e-03, eta: 4:42:55, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9884, top5_acc: 1.0000, loss_cls: 2.9494, loss: 2.9494 2025-05-06 08:50:16,431 - pyskl - INFO - Epoch [230][300/523] lr: 6.497e-03, eta: 4:42:08, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9897, top5_acc: 1.0000, loss_cls: 2.8229, loss: 2.8229 2025-05-06 08:50:59,949 - pyskl - INFO - Epoch [230][400/523] lr: 6.463e-03, eta: 4:41:21, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 2.9767, loss: 2.9767 2025-05-06 08:51:42,458 - pyskl - INFO - Epoch [230][500/523] lr: 6.429e-03, eta: 4:40:34, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9859, top5_acc: 0.9997, loss_cls: 3.1119, loss: 3.1119 2025-05-06 08:51:52,852 - pyskl - INFO - Saving checkpoint at 230 epochs 2025-05-06 08:52:21,378 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:52:21,450 - pyskl - INFO - top1_acc 0.3869 top5_acc 0.5800 2025-05-06 08:52:21,450 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:52:21,459 - pyskl - INFO - mean_acc 0.3865 2025-05-06 08:52:21,522 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_225.pth was removed 2025-05-06 08:52:23,068 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_230.pth. 2025-05-06 08:52:23,069 - pyskl - INFO - Best top1_acc is 0.3869 at 230 epoch. 2025-05-06 08:52:23,072 - pyskl - INFO - Epoch(val) [230][198] top1_acc: 0.3869, top5_acc: 0.5800, mean_class_accuracy: 0.3865 2025-05-06 08:53:31,528 - pyskl - INFO - Epoch [231][100/523] lr: 6.388e-03, eta: 4:39:41, time: 0.685, data_time: 0.253, memory: 7964, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.8336, loss: 2.8336 2025-05-06 08:54:14,353 - pyskl - INFO - Epoch [231][200/523] lr: 6.355e-03, eta: 4:38:54, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9941, top5_acc: 0.9997, loss_cls: 2.8771, loss: 2.8771 2025-05-06 08:54:57,197 - pyskl - INFO - Epoch [231][300/523] lr: 6.322e-03, eta: 4:38:08, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.9683, loss: 2.9683 2025-05-06 08:55:39,960 - pyskl - INFO - Epoch [231][400/523] lr: 6.288e-03, eta: 4:37:21, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9847, top5_acc: 0.9997, loss_cls: 2.8577, loss: 2.8577 2025-05-06 08:56:21,674 - pyskl - INFO - Epoch [231][500/523] lr: 6.255e-03, eta: 4:36:33, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 2.9597, loss: 2.9597 2025-05-06 08:56:32,045 - pyskl - INFO - Saving checkpoint at 231 epochs 2025-05-06 08:57:00,794 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 08:57:00,866 - pyskl - INFO - top1_acc 0.3853 top5_acc 0.5819 2025-05-06 08:57:00,866 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 08:57:00,875 - pyskl - INFO - mean_acc 0.3864 2025-05-06 08:57:00,877 - pyskl - INFO - Epoch(val) [231][198] top1_acc: 0.3853, top5_acc: 0.5819, mean_class_accuracy: 0.3864 2025-05-06 08:58:10,210 - pyskl - INFO - Epoch [232][100/523] lr: 6.214e-03, eta: 4:35:41, time: 0.693, data_time: 0.259, memory: 7964, top1_acc: 0.9928, top5_acc: 1.0000, loss_cls: 2.8737, loss: 2.8737 2025-05-06 08:58:53,281 - pyskl - INFO - Epoch [232][200/523] lr: 6.181e-03, eta: 4:34:54, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.9453, loss: 2.9453 2025-05-06 08:59:36,415 - pyskl - INFO - Epoch [232][300/523] lr: 6.149e-03, eta: 4:34:07, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9891, top5_acc: 1.0000, loss_cls: 2.9375, loss: 2.9375 2025-05-06 09:00:20,085 - pyskl - INFO - Epoch [232][400/523] lr: 6.116e-03, eta: 4:33:20, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.9042, loss: 2.9042 2025-05-06 09:01:01,949 - pyskl - INFO - Epoch [232][500/523] lr: 6.083e-03, eta: 4:32:33, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9903, top5_acc: 0.9997, loss_cls: 2.9418, loss: 2.9418 2025-05-06 09:01:12,264 - pyskl - INFO - Saving checkpoint at 232 epochs 2025-05-06 09:01:40,880 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:01:40,954 - pyskl - INFO - top1_acc 0.3883 top5_acc 0.5843 2025-05-06 09:01:40,954 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:01:40,963 - pyskl - INFO - mean_acc 0.3892 2025-05-06 09:01:41,022 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_230.pth was removed 2025-05-06 09:01:42,760 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_232.pth. 2025-05-06 09:01:42,762 - pyskl - INFO - Best top1_acc is 0.3883 at 232 epoch. 2025-05-06 09:01:42,764 - pyskl - INFO - Epoch(val) [232][198] top1_acc: 0.3883, top5_acc: 0.5843, mean_class_accuracy: 0.3892 2025-05-06 09:02:51,063 - pyskl - INFO - Epoch [233][100/523] lr: 6.043e-03, eta: 4:31:40, time: 0.683, data_time: 0.252, memory: 7964, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.8731, loss: 2.8731 2025-05-06 09:03:34,810 - pyskl - INFO - Epoch [233][200/523] lr: 6.010e-03, eta: 4:30:54, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.8540, loss: 2.8540 2025-05-06 09:04:18,195 - pyskl - INFO - Epoch [233][300/523] lr: 5.978e-03, eta: 4:30:07, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9916, top5_acc: 1.0000, loss_cls: 2.9236, loss: 2.9236 2025-05-06 09:05:01,479 - pyskl - INFO - Epoch [233][400/523] lr: 5.945e-03, eta: 4:29:20, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9894, top5_acc: 0.9997, loss_cls: 2.8980, loss: 2.8980 2025-05-06 09:05:43,698 - pyskl - INFO - Epoch [233][500/523] lr: 5.913e-03, eta: 4:28:33, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9853, top5_acc: 0.9997, loss_cls: 3.0104, loss: 3.0104 2025-05-06 09:05:54,077 - pyskl - INFO - Saving checkpoint at 233 epochs 2025-05-06 09:06:23,008 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:06:23,080 - pyskl - INFO - top1_acc 0.3853 top5_acc 0.5811 2025-05-06 09:06:23,081 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:06:23,090 - pyskl - INFO - mean_acc 0.3858 2025-05-06 09:06:23,093 - pyskl - INFO - Epoch(val) [233][198] top1_acc: 0.3853, top5_acc: 0.5811, mean_class_accuracy: 0.3858 2025-05-06 09:07:33,062 - pyskl - INFO - Epoch [234][100/523] lr: 5.873e-03, eta: 4:27:40, time: 0.700, data_time: 0.260, memory: 7964, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.7778, loss: 2.7778 2025-05-06 09:08:15,883 - pyskl - INFO - Epoch [234][200/523] lr: 5.841e-03, eta: 4:26:54, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.8122, loss: 2.8122 2025-05-06 09:08:58,958 - pyskl - INFO - Epoch [234][300/523] lr: 5.809e-03, eta: 4:26:07, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 0.9997, loss_cls: 2.8223, loss: 2.8223 2025-05-06 09:09:41,527 - pyskl - INFO - Epoch [234][400/523] lr: 5.777e-03, eta: 4:25:20, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.8919, loss: 2.8919 2025-05-06 09:10:23,508 - pyskl - INFO - Epoch [234][500/523] lr: 5.745e-03, eta: 4:24:33, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9909, top5_acc: 0.9997, loss_cls: 2.8520, loss: 2.8520 2025-05-06 09:10:33,829 - pyskl - INFO - Saving checkpoint at 234 epochs 2025-05-06 09:11:02,787 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:11:02,860 - pyskl - INFO - top1_acc 0.3935 top5_acc 0.5849 2025-05-06 09:11:02,860 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:11:02,868 - pyskl - INFO - mean_acc 0.3930 2025-05-06 09:11:02,927 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_232.pth was removed 2025-05-06 09:11:04,489 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_234.pth. 2025-05-06 09:11:04,491 - pyskl - INFO - Best top1_acc is 0.3935 at 234 epoch. 2025-05-06 09:11:04,493 - pyskl - INFO - Epoch(val) [234][198] top1_acc: 0.3935, top5_acc: 0.5849, mean_class_accuracy: 0.3930 2025-05-06 09:12:12,067 - pyskl - INFO - Epoch [235][100/523] lr: 5.706e-03, eta: 4:23:39, time: 0.676, data_time: 0.258, memory: 7964, top1_acc: 0.9925, top5_acc: 0.9997, loss_cls: 2.9027, loss: 2.9027 2025-05-06 09:12:54,139 - pyskl - INFO - Epoch [235][200/523] lr: 5.674e-03, eta: 4:22:52, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9944, top5_acc: 0.9997, loss_cls: 2.8237, loss: 2.8237 2025-05-06 09:13:37,594 - pyskl - INFO - Epoch [235][300/523] lr: 5.642e-03, eta: 4:22:06, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.8351, loss: 2.8351 2025-05-06 09:14:21,378 - pyskl - INFO - Epoch [235][400/523] lr: 5.610e-03, eta: 4:21:19, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9916, top5_acc: 1.0000, loss_cls: 2.8258, loss: 2.8258 2025-05-06 09:15:03,529 - pyskl - INFO - Epoch [235][500/523] lr: 5.579e-03, eta: 4:20:32, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9909, top5_acc: 1.0000, loss_cls: 2.9130, loss: 2.9130 2025-05-06 09:15:13,813 - pyskl - INFO - Saving checkpoint at 235 epochs 2025-05-06 09:15:42,799 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:15:42,868 - pyskl - INFO - top1_acc 0.3918 top5_acc 0.5889 2025-05-06 09:15:42,869 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:15:42,876 - pyskl - INFO - mean_acc 0.3914 2025-05-06 09:15:42,878 - pyskl - INFO - Epoch(val) [235][198] top1_acc: 0.3918, top5_acc: 0.5889, mean_class_accuracy: 0.3914 2025-05-06 09:16:52,796 - pyskl - INFO - Epoch [236][100/523] lr: 5.540e-03, eta: 4:19:39, time: 0.699, data_time: 0.260, memory: 7964, top1_acc: 0.9941, top5_acc: 1.0000, loss_cls: 2.9004, loss: 2.9004 2025-05-06 09:17:35,746 - pyskl - INFO - Epoch [236][200/523] lr: 5.509e-03, eta: 4:18:52, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.7975, loss: 2.7975 2025-05-06 09:18:19,419 - pyskl - INFO - Epoch [236][300/523] lr: 5.478e-03, eta: 4:18:06, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.7708, loss: 2.7708 2025-05-06 09:19:03,087 - pyskl - INFO - Epoch [236][400/523] lr: 5.446e-03, eta: 4:17:19, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.8369, loss: 2.8369 2025-05-06 09:19:45,310 - pyskl - INFO - Epoch [236][500/523] lr: 5.415e-03, eta: 4:16:32, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.8879, loss: 2.8879 2025-05-06 09:19:55,648 - pyskl - INFO - Saving checkpoint at 236 epochs 2025-05-06 09:20:25,135 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:20:25,204 - pyskl - INFO - top1_acc 0.3789 top5_acc 0.5775 2025-05-06 09:20:25,205 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:20:25,212 - pyskl - INFO - mean_acc 0.3785 2025-05-06 09:20:25,214 - pyskl - INFO - Epoch(val) [236][198] top1_acc: 0.3789, top5_acc: 0.5775, mean_class_accuracy: 0.3785 2025-05-06 09:21:34,887 - pyskl - INFO - Epoch [237][100/523] lr: 5.377e-03, eta: 4:15:39, time: 0.697, data_time: 0.262, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.7858, loss: 2.7858 2025-05-06 09:22:17,963 - pyskl - INFO - Epoch [237][200/523] lr: 5.346e-03, eta: 4:14:53, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9941, top5_acc: 1.0000, loss_cls: 2.7302, loss: 2.7302 2025-05-06 09:23:01,915 - pyskl - INFO - Epoch [237][300/523] lr: 5.315e-03, eta: 4:14:06, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9947, top5_acc: 0.9997, loss_cls: 2.7924, loss: 2.7924 2025-05-06 09:23:45,869 - pyskl - INFO - Epoch [237][400/523] lr: 5.284e-03, eta: 4:13:20, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.7577, loss: 2.7577 2025-05-06 09:24:28,207 - pyskl - INFO - Epoch [237][500/523] lr: 5.253e-03, eta: 4:12:33, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 0.9997, loss_cls: 2.8553, loss: 2.8553 2025-05-06 09:24:38,890 - pyskl - INFO - Saving checkpoint at 237 epochs 2025-05-06 09:25:07,706 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:25:07,776 - pyskl - INFO - top1_acc 0.3872 top5_acc 0.5827 2025-05-06 09:25:07,776 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:25:07,784 - pyskl - INFO - mean_acc 0.3873 2025-05-06 09:25:07,785 - pyskl - INFO - Epoch(val) [237][198] top1_acc: 0.3872, top5_acc: 0.5827, mean_class_accuracy: 0.3873 2025-05-06 09:26:17,084 - pyskl - INFO - Epoch [238][100/523] lr: 5.216e-03, eta: 4:11:39, time: 0.693, data_time: 0.259, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.8121, loss: 2.8121 2025-05-06 09:26:59,902 - pyskl - INFO - Epoch [238][200/523] lr: 5.185e-03, eta: 4:10:53, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.7704, loss: 2.7704 2025-05-06 09:27:43,131 - pyskl - INFO - Epoch [238][300/523] lr: 5.155e-03, eta: 4:10:06, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.8201, loss: 2.8201 2025-05-06 09:28:26,529 - pyskl - INFO - Epoch [238][400/523] lr: 5.124e-03, eta: 4:09:19, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.8568, loss: 2.8568 2025-05-06 09:29:08,915 - pyskl - INFO - Epoch [238][500/523] lr: 5.094e-03, eta: 4:08:32, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.9922, top5_acc: 1.0000, loss_cls: 2.7907, loss: 2.7907 2025-05-06 09:29:19,228 - pyskl - INFO - Saving checkpoint at 238 epochs 2025-05-06 09:29:48,099 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:29:48,169 - pyskl - INFO - top1_acc 0.3858 top5_acc 0.5836 2025-05-06 09:29:48,169 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:29:48,177 - pyskl - INFO - mean_acc 0.3852 2025-05-06 09:29:48,179 - pyskl - INFO - Epoch(val) [238][198] top1_acc: 0.3858, top5_acc: 0.5836, mean_class_accuracy: 0.3852 2025-05-06 09:30:58,960 - pyskl - INFO - Epoch [239][100/523] lr: 5.057e-03, eta: 4:07:40, time: 0.708, data_time: 0.271, memory: 7964, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.7983, loss: 2.7983 2025-05-06 09:31:41,735 - pyskl - INFO - Epoch [239][200/523] lr: 5.027e-03, eta: 4:06:53, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 2.7860, loss: 2.7860 2025-05-06 09:32:23,679 - pyskl - INFO - Epoch [239][300/523] lr: 4.997e-03, eta: 4:06:06, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9947, top5_acc: 1.0000, loss_cls: 2.7942, loss: 2.7942 2025-05-06 09:33:05,426 - pyskl - INFO - Epoch [239][400/523] lr: 4.967e-03, eta: 4:05:19, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.8541, loss: 2.8541 2025-05-06 09:33:47,749 - pyskl - INFO - Epoch [239][500/523] lr: 4.937e-03, eta: 4:04:32, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.6845, loss: 2.6845 2025-05-06 09:33:58,186 - pyskl - INFO - Saving checkpoint at 239 epochs 2025-05-06 09:34:27,743 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:34:27,813 - pyskl - INFO - top1_acc 0.3940 top5_acc 0.5852 2025-05-06 09:34:27,814 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:34:27,823 - pyskl - INFO - mean_acc 0.3950 2025-05-06 09:34:27,880 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_234.pth was removed 2025-05-06 09:34:29,571 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_239.pth. 2025-05-06 09:34:29,573 - pyskl - INFO - Best top1_acc is 0.3940 at 239 epoch. 2025-05-06 09:34:29,578 - pyskl - INFO - Epoch(val) [239][198] top1_acc: 0.3940, top5_acc: 0.5852, mean_class_accuracy: 0.3950 2025-05-06 09:35:40,254 - pyskl - INFO - Epoch [240][100/523] lr: 4.900e-03, eta: 4:03:39, time: 0.707, data_time: 0.272, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.7599, loss: 2.7599 2025-05-06 09:36:23,098 - pyskl - INFO - Epoch [240][200/523] lr: 4.870e-03, eta: 4:02:52, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.7521, loss: 2.7521 2025-05-06 09:37:07,344 - pyskl - INFO - Epoch [240][300/523] lr: 4.841e-03, eta: 4:02:06, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8021, loss: 2.8021 2025-05-06 09:37:50,595 - pyskl - INFO - Epoch [240][400/523] lr: 4.811e-03, eta: 4:01:19, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.8564, loss: 2.8564 2025-05-06 09:38:33,024 - pyskl - INFO - Epoch [240][500/523] lr: 4.782e-03, eta: 4:00:32, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.8179, loss: 2.8179 2025-05-06 09:38:43,431 - pyskl - INFO - Saving checkpoint at 240 epochs 2025-05-06 09:39:12,564 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:39:12,635 - pyskl - INFO - top1_acc 0.3986 top5_acc 0.5901 2025-05-06 09:39:12,635 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:39:12,644 - pyskl - INFO - mean_acc 0.3987 2025-05-06 09:39:12,716 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_239.pth was removed 2025-05-06 09:39:14,256 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_240.pth. 2025-05-06 09:39:14,258 - pyskl - INFO - Best top1_acc is 0.3986 at 240 epoch. 2025-05-06 09:39:14,261 - pyskl - INFO - Epoch(val) [240][198] top1_acc: 0.3986, top5_acc: 0.5901, mean_class_accuracy: 0.3987 2025-05-06 09:40:23,497 - pyskl - INFO - Epoch [241][100/523] lr: 4.745e-03, eta: 3:59:39, time: 0.692, data_time: 0.262, memory: 7964, top1_acc: 0.9959, top5_acc: 0.9997, loss_cls: 2.7784, loss: 2.7784 2025-05-06 09:41:06,998 - pyskl - INFO - Epoch [241][200/523] lr: 4.716e-03, eta: 3:58:52, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.8215, loss: 2.8215 2025-05-06 09:41:50,109 - pyskl - INFO - Epoch [241][300/523] lr: 4.687e-03, eta: 3:58:06, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.7861, loss: 2.7861 2025-05-06 09:42:32,756 - pyskl - INFO - Epoch [241][400/523] lr: 4.658e-03, eta: 3:57:19, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9947, top5_acc: 1.0000, loss_cls: 2.8421, loss: 2.8421 2025-05-06 09:43:15,512 - pyskl - INFO - Epoch [241][500/523] lr: 4.629e-03, eta: 3:56:32, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9925, top5_acc: 0.9997, loss_cls: 2.7387, loss: 2.7387 2025-05-06 09:43:25,902 - pyskl - INFO - Saving checkpoint at 241 epochs 2025-05-06 09:43:54,874 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:43:54,944 - pyskl - INFO - top1_acc 0.3859 top5_acc 0.5897 2025-05-06 09:43:54,944 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:43:54,952 - pyskl - INFO - mean_acc 0.3853 2025-05-06 09:43:54,953 - pyskl - INFO - Epoch(val) [241][198] top1_acc: 0.3859, top5_acc: 0.5897, mean_class_accuracy: 0.3853 2025-05-06 09:45:04,814 - pyskl - INFO - Epoch [242][100/523] lr: 4.593e-03, eta: 3:55:39, time: 0.698, data_time: 0.263, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.6995, loss: 2.6995 2025-05-06 09:45:47,911 - pyskl - INFO - Epoch [242][200/523] lr: 4.564e-03, eta: 3:54:52, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9953, top5_acc: 1.0000, loss_cls: 2.7358, loss: 2.7358 2025-05-06 09:46:31,149 - pyskl - INFO - Epoch [242][300/523] lr: 4.535e-03, eta: 3:54:06, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 2.7052, loss: 2.7052 2025-05-06 09:47:14,941 - pyskl - INFO - Epoch [242][400/523] lr: 4.507e-03, eta: 3:53:19, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.7026, loss: 2.7026 2025-05-06 09:47:58,021 - pyskl - INFO - Epoch [242][500/523] lr: 4.478e-03, eta: 3:52:32, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.8165, loss: 2.8165 2025-05-06 09:48:08,506 - pyskl - INFO - Saving checkpoint at 242 epochs 2025-05-06 09:48:38,715 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:48:38,786 - pyskl - INFO - top1_acc 0.3866 top5_acc 0.5805 2025-05-06 09:48:38,786 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:48:38,794 - pyskl - INFO - mean_acc 0.3864 2025-05-06 09:48:38,796 - pyskl - INFO - Epoch(val) [242][198] top1_acc: 0.3866, top5_acc: 0.5805, mean_class_accuracy: 0.3864 2025-05-06 09:49:48,370 - pyskl - INFO - Epoch [243][100/523] lr: 4.443e-03, eta: 3:51:39, time: 0.696, data_time: 0.262, memory: 7964, top1_acc: 0.9950, top5_acc: 0.9997, loss_cls: 2.7570, loss: 2.7570 2025-05-06 09:50:31,372 - pyskl - INFO - Epoch [243][200/523] lr: 4.415e-03, eta: 3:50:52, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.7122, loss: 2.7122 2025-05-06 09:51:14,516 - pyskl - INFO - Epoch [243][300/523] lr: 4.386e-03, eta: 3:50:06, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.7423, loss: 2.7423 2025-05-06 09:51:58,083 - pyskl - INFO - Epoch [243][400/523] lr: 4.358e-03, eta: 3:49:19, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9953, top5_acc: 1.0000, loss_cls: 2.7551, loss: 2.7551 2025-05-06 09:52:40,905 - pyskl - INFO - Epoch [243][500/523] lr: 4.330e-03, eta: 3:48:32, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.7457, loss: 2.7457 2025-05-06 09:52:51,203 - pyskl - INFO - Saving checkpoint at 243 epochs 2025-05-06 09:53:19,958 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:53:20,026 - pyskl - INFO - top1_acc 0.3786 top5_acc 0.5733 2025-05-06 09:53:20,027 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:53:20,034 - pyskl - INFO - mean_acc 0.3788 2025-05-06 09:53:20,035 - pyskl - INFO - Epoch(val) [243][198] top1_acc: 0.3786, top5_acc: 0.5733, mean_class_accuracy: 0.3788 2025-05-06 09:54:28,416 - pyskl - INFO - Epoch [244][100/523] lr: 4.295e-03, eta: 3:47:39, time: 0.684, data_time: 0.257, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.7262, loss: 2.7262 2025-05-06 09:55:11,302 - pyskl - INFO - Epoch [244][200/523] lr: 4.267e-03, eta: 3:46:52, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.7279, loss: 2.7279 2025-05-06 09:55:54,938 - pyskl - INFO - Epoch [244][300/523] lr: 4.239e-03, eta: 3:46:05, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.6177, loss: 2.6177 2025-05-06 09:56:38,417 - pyskl - INFO - Epoch [244][400/523] lr: 4.211e-03, eta: 3:45:19, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.7136, loss: 2.7136 2025-05-06 09:57:21,197 - pyskl - INFO - Epoch [244][500/523] lr: 4.184e-03, eta: 3:44:32, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.6804, loss: 2.6804 2025-05-06 09:57:31,502 - pyskl - INFO - Saving checkpoint at 244 epochs 2025-05-06 09:58:00,278 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 09:58:00,346 - pyskl - INFO - top1_acc 0.3850 top5_acc 0.5836 2025-05-06 09:58:00,346 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 09:58:00,353 - pyskl - INFO - mean_acc 0.3842 2025-05-06 09:58:00,354 - pyskl - INFO - Epoch(val) [244][198] top1_acc: 0.3850, top5_acc: 0.5836, mean_class_accuracy: 0.3842 2025-05-06 09:59:09,668 - pyskl - INFO - Epoch [245][100/523] lr: 4.150e-03, eta: 3:43:39, time: 0.693, data_time: 0.259, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 2.6939, loss: 2.6939 2025-05-06 09:59:53,709 - pyskl - INFO - Epoch [245][200/523] lr: 4.122e-03, eta: 3:42:52, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.6766, loss: 2.6766 2025-05-06 10:00:37,047 - pyskl - INFO - Epoch [245][300/523] lr: 4.095e-03, eta: 3:42:06, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.6937, loss: 2.6937 2025-05-06 10:01:20,261 - pyskl - INFO - Epoch [245][400/523] lr: 4.067e-03, eta: 3:41:19, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.7517, loss: 2.7517 2025-05-06 10:02:03,389 - pyskl - INFO - Epoch [245][500/523] lr: 4.040e-03, eta: 3:40:32, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9947, top5_acc: 1.0000, loss_cls: 2.7030, loss: 2.7030 2025-05-06 10:02:13,804 - pyskl - INFO - Saving checkpoint at 245 epochs 2025-05-06 10:02:42,510 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:02:42,581 - pyskl - INFO - top1_acc 0.3938 top5_acc 0.5814 2025-05-06 10:02:42,581 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:02:42,591 - pyskl - INFO - mean_acc 0.3943 2025-05-06 10:02:42,593 - pyskl - INFO - Epoch(val) [245][198] top1_acc: 0.3938, top5_acc: 0.5814, mean_class_accuracy: 0.3943 2025-05-06 10:03:51,224 - pyskl - INFO - Epoch [246][100/523] lr: 4.006e-03, eta: 3:39:39, time: 0.686, data_time: 0.257, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.7432, loss: 2.7432 2025-05-06 10:04:34,015 - pyskl - INFO - Epoch [246][200/523] lr: 3.979e-03, eta: 3:38:52, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 2.7579, loss: 2.7579 2025-05-06 10:05:17,117 - pyskl - INFO - Epoch [246][300/523] lr: 3.952e-03, eta: 3:38:05, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.6225, loss: 2.6225 2025-05-06 10:06:00,207 - pyskl - INFO - Epoch [246][400/523] lr: 3.925e-03, eta: 3:37:19, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.7260, loss: 2.7260 2025-05-06 10:06:44,044 - pyskl - INFO - Epoch [246][500/523] lr: 3.898e-03, eta: 3:36:32, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9947, top5_acc: 1.0000, loss_cls: 2.7137, loss: 2.7137 2025-05-06 10:06:54,477 - pyskl - INFO - Saving checkpoint at 246 epochs 2025-05-06 10:07:23,787 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:07:23,855 - pyskl - INFO - top1_acc 0.3929 top5_acc 0.5879 2025-05-06 10:07:23,855 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:07:23,863 - pyskl - INFO - mean_acc 0.3925 2025-05-06 10:07:23,864 - pyskl - INFO - Epoch(val) [246][198] top1_acc: 0.3929, top5_acc: 0.5879, mean_class_accuracy: 0.3925 2025-05-06 10:08:32,836 - pyskl - INFO - Epoch [247][100/523] lr: 3.865e-03, eta: 3:35:38, time: 0.690, data_time: 0.259, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5692, loss: 2.5692 2025-05-06 10:09:15,923 - pyskl - INFO - Epoch [247][200/523] lr: 3.839e-03, eta: 3:34:52, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.6599, loss: 2.6599 2025-05-06 10:09:58,961 - pyskl - INFO - Epoch [247][300/523] lr: 3.812e-03, eta: 3:34:05, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.6115, loss: 2.6115 2025-05-06 10:10:41,765 - pyskl - INFO - Epoch [247][400/523] lr: 3.785e-03, eta: 3:33:19, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.6323, loss: 2.6323 2025-05-06 10:11:23,947 - pyskl - INFO - Epoch [247][500/523] lr: 3.759e-03, eta: 3:32:32, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.7022, loss: 2.7022 2025-05-06 10:11:34,282 - pyskl - INFO - Saving checkpoint at 247 epochs 2025-05-06 10:12:03,078 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:12:03,147 - pyskl - INFO - top1_acc 0.3845 top5_acc 0.5846 2025-05-06 10:12:03,148 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:12:03,155 - pyskl - INFO - mean_acc 0.3840 2025-05-06 10:12:03,157 - pyskl - INFO - Epoch(val) [247][198] top1_acc: 0.3845, top5_acc: 0.5846, mean_class_accuracy: 0.3840 2025-05-06 10:13:11,961 - pyskl - INFO - Epoch [248][100/523] lr: 3.727e-03, eta: 3:31:38, time: 0.688, data_time: 0.260, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.5752, loss: 2.5752 2025-05-06 10:13:54,869 - pyskl - INFO - Epoch [248][200/523] lr: 3.700e-03, eta: 3:30:51, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.7443, loss: 2.7443 2025-05-06 10:14:37,378 - pyskl - INFO - Epoch [248][300/523] lr: 3.674e-03, eta: 3:30:04, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.7051, loss: 2.7051 2025-05-06 10:15:19,620 - pyskl - INFO - Epoch [248][400/523] lr: 3.648e-03, eta: 3:29:18, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.7183, loss: 2.7183 2025-05-06 10:16:01,794 - pyskl - INFO - Epoch [248][500/523] lr: 3.622e-03, eta: 3:28:31, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.7179, loss: 2.7179 2025-05-06 10:16:12,231 - pyskl - INFO - Saving checkpoint at 248 epochs 2025-05-06 10:16:40,887 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:16:40,960 - pyskl - INFO - top1_acc 0.3984 top5_acc 0.5889 2025-05-06 10:16:40,960 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:16:40,969 - pyskl - INFO - mean_acc 0.3992 2025-05-06 10:16:40,970 - pyskl - INFO - Epoch(val) [248][198] top1_acc: 0.3984, top5_acc: 0.5889, mean_class_accuracy: 0.3992 2025-05-06 10:17:51,390 - pyskl - INFO - Epoch [249][100/523] lr: 3.590e-03, eta: 3:27:37, time: 0.704, data_time: 0.263, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.6774, loss: 2.6774 2025-05-06 10:18:34,928 - pyskl - INFO - Epoch [249][200/523] lr: 3.564e-03, eta: 3:26:51, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.7246, loss: 2.7246 2025-05-06 10:19:18,024 - pyskl - INFO - Epoch [249][300/523] lr: 3.539e-03, eta: 3:26:04, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.5907, loss: 2.5907 2025-05-06 10:20:00,921 - pyskl - INFO - Epoch [249][400/523] lr: 3.513e-03, eta: 3:25:18, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.6505, loss: 2.6505 2025-05-06 10:20:43,248 - pyskl - INFO - Epoch [249][500/523] lr: 3.488e-03, eta: 3:24:31, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9947, top5_acc: 1.0000, loss_cls: 2.6813, loss: 2.6813 2025-05-06 10:20:53,479 - pyskl - INFO - Saving checkpoint at 249 epochs 2025-05-06 10:21:22,229 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:21:22,299 - pyskl - INFO - top1_acc 0.4019 top5_acc 0.5857 2025-05-06 10:21:22,299 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:21:22,307 - pyskl - INFO - mean_acc 0.4017 2025-05-06 10:21:22,374 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_240.pth was removed 2025-05-06 10:21:23,952 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_249.pth. 2025-05-06 10:21:23,953 - pyskl - INFO - Best top1_acc is 0.4019 at 249 epoch. 2025-05-06 10:21:23,956 - pyskl - INFO - Epoch(val) [249][198] top1_acc: 0.4019, top5_acc: 0.5857, mean_class_accuracy: 0.4017 2025-05-06 10:22:32,326 - pyskl - INFO - Epoch [250][100/523] lr: 3.456e-03, eta: 3:23:37, time: 0.684, data_time: 0.263, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.6203, loss: 2.6203 2025-05-06 10:23:14,610 - pyskl - INFO - Epoch [250][200/523] lr: 3.431e-03, eta: 3:22:50, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.6338, loss: 2.6338 2025-05-06 10:23:57,551 - pyskl - INFO - Epoch [250][300/523] lr: 3.406e-03, eta: 3:22:03, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.6898, loss: 2.6898 2025-05-06 10:24:40,637 - pyskl - INFO - Epoch [250][400/523] lr: 3.380e-03, eta: 3:21:17, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.6323, loss: 2.6323 2025-05-06 10:25:23,000 - pyskl - INFO - Epoch [250][500/523] lr: 3.355e-03, eta: 3:20:30, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.5813, loss: 2.5813 2025-05-06 10:25:33,447 - pyskl - INFO - Saving checkpoint at 250 epochs 2025-05-06 10:26:02,276 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:26:02,353 - pyskl - INFO - top1_acc 0.3883 top5_acc 0.5801 2025-05-06 10:26:02,354 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:26:02,363 - pyskl - INFO - mean_acc 0.3872 2025-05-06 10:26:02,366 - pyskl - INFO - Epoch(val) [250][198] top1_acc: 0.3883, top5_acc: 0.5801, mean_class_accuracy: 0.3872 2025-05-06 10:27:11,144 - pyskl - INFO - Epoch [251][100/523] lr: 3.325e-03, eta: 3:19:36, time: 0.688, data_time: 0.268, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.5994, loss: 2.5994 2025-05-06 10:27:53,470 - pyskl - INFO - Epoch [251][200/523] lr: 3.300e-03, eta: 3:18:49, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.6196, loss: 2.6196 2025-05-06 10:28:36,506 - pyskl - INFO - Epoch [251][300/523] lr: 3.275e-03, eta: 3:18:03, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.6238, loss: 2.6238 2025-05-06 10:29:19,394 - pyskl - INFO - Epoch [251][400/523] lr: 3.250e-03, eta: 3:17:16, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.5973, loss: 2.5973 2025-05-06 10:30:02,793 - pyskl - INFO - Epoch [251][500/523] lr: 3.226e-03, eta: 3:16:30, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.7279, loss: 2.7279 2025-05-06 10:30:13,605 - pyskl - INFO - Saving checkpoint at 251 epochs 2025-05-06 10:30:42,445 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:30:42,515 - pyskl - INFO - top1_acc 0.3937 top5_acc 0.5887 2025-05-06 10:30:42,515 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:30:42,523 - pyskl - INFO - mean_acc 0.3937 2025-05-06 10:30:42,524 - pyskl - INFO - Epoch(val) [251][198] top1_acc: 0.3937, top5_acc: 0.5887, mean_class_accuracy: 0.3937 2025-05-06 10:31:50,953 - pyskl - INFO - Epoch [252][100/523] lr: 3.195e-03, eta: 3:15:36, time: 0.684, data_time: 0.261, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.6303, loss: 2.6303 2025-05-06 10:32:33,668 - pyskl - INFO - Epoch [252][200/523] lr: 3.171e-03, eta: 3:14:49, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.5652, loss: 2.5652 2025-05-06 10:33:16,625 - pyskl - INFO - Epoch [252][300/523] lr: 3.147e-03, eta: 3:14:02, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.6554, loss: 2.6554 2025-05-06 10:33:59,206 - pyskl - INFO - Epoch [252][400/523] lr: 3.122e-03, eta: 3:13:16, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.5589, loss: 2.5589 2025-05-06 10:34:42,482 - pyskl - INFO - Epoch [252][500/523] lr: 3.098e-03, eta: 3:12:29, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.6814, loss: 2.6814 2025-05-06 10:34:53,268 - pyskl - INFO - Saving checkpoint at 252 epochs 2025-05-06 10:35:22,108 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:35:22,178 - pyskl - INFO - top1_acc 0.3980 top5_acc 0.5852 2025-05-06 10:35:22,178 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:35:22,186 - pyskl - INFO - mean_acc 0.3969 2025-05-06 10:35:22,188 - pyskl - INFO - Epoch(val) [252][198] top1_acc: 0.3980, top5_acc: 0.5852, mean_class_accuracy: 0.3969 2025-05-06 10:36:31,869 - pyskl - INFO - Epoch [253][100/523] lr: 3.069e-03, eta: 3:11:35, time: 0.697, data_time: 0.274, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.5808, loss: 2.5808 2025-05-06 10:37:15,106 - pyskl - INFO - Epoch [253][200/523] lr: 3.045e-03, eta: 3:10:49, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.6116, loss: 2.6116 2025-05-06 10:37:58,252 - pyskl - INFO - Epoch [253][300/523] lr: 3.021e-03, eta: 3:10:02, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5599, loss: 2.5599 2025-05-06 10:38:41,279 - pyskl - INFO - Epoch [253][400/523] lr: 2.997e-03, eta: 3:09:16, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 0.9997, loss_cls: 2.5025, loss: 2.5025 2025-05-06 10:39:24,975 - pyskl - INFO - Epoch [253][500/523] lr: 2.973e-03, eta: 3:08:29, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.5627, loss: 2.5627 2025-05-06 10:39:35,769 - pyskl - INFO - Saving checkpoint at 253 epochs 2025-05-06 10:40:04,906 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:40:04,980 - pyskl - INFO - top1_acc 0.3967 top5_acc 0.5933 2025-05-06 10:40:04,980 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:40:04,993 - pyskl - INFO - mean_acc 0.3963 2025-05-06 10:40:04,996 - pyskl - INFO - Epoch(val) [253][198] top1_acc: 0.3967, top5_acc: 0.5933, mean_class_accuracy: 0.3963 2025-05-06 10:41:14,641 - pyskl - INFO - Epoch [254][100/523] lr: 2.944e-03, eta: 3:07:35, time: 0.696, data_time: 0.262, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.5601, loss: 2.5601 2025-05-06 10:41:58,041 - pyskl - INFO - Epoch [254][200/523] lr: 2.921e-03, eta: 3:06:49, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.6350, loss: 2.6350 2025-05-06 10:42:41,112 - pyskl - INFO - Epoch [254][300/523] lr: 2.897e-03, eta: 3:06:02, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.5559, loss: 2.5559 2025-05-06 10:43:23,622 - pyskl - INFO - Epoch [254][400/523] lr: 2.874e-03, eta: 3:05:16, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.4813, loss: 2.4813 2025-05-06 10:44:07,250 - pyskl - INFO - Epoch [254][500/523] lr: 2.850e-03, eta: 3:04:29, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.6217, loss: 2.6217 2025-05-06 10:44:18,054 - pyskl - INFO - Saving checkpoint at 254 epochs 2025-05-06 10:44:46,643 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:44:46,718 - pyskl - INFO - top1_acc 0.3961 top5_acc 0.5905 2025-05-06 10:44:46,718 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:44:46,727 - pyskl - INFO - mean_acc 0.3951 2025-05-06 10:44:46,728 - pyskl - INFO - Epoch(val) [254][198] top1_acc: 0.3961, top5_acc: 0.5905, mean_class_accuracy: 0.3951 2025-05-06 10:45:56,170 - pyskl - INFO - Epoch [255][100/523] lr: 2.822e-03, eta: 3:03:35, time: 0.694, data_time: 0.264, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.5463, loss: 2.5463 2025-05-06 10:46:39,295 - pyskl - INFO - Epoch [255][200/523] lr: 2.799e-03, eta: 3:02:49, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.6024, loss: 2.6024 2025-05-06 10:47:22,244 - pyskl - INFO - Epoch [255][300/523] lr: 2.776e-03, eta: 3:02:02, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4899, loss: 2.4899 2025-05-06 10:48:04,905 - pyskl - INFO - Epoch [255][400/523] lr: 2.753e-03, eta: 3:01:16, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5063, loss: 2.5063 2025-05-06 10:48:48,545 - pyskl - INFO - Epoch [255][500/523] lr: 2.730e-03, eta: 3:00:29, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.6053, loss: 2.6053 2025-05-06 10:48:59,285 - pyskl - INFO - Saving checkpoint at 255 epochs 2025-05-06 10:49:28,593 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:49:28,671 - pyskl - INFO - top1_acc 0.3894 top5_acc 0.5882 2025-05-06 10:49:28,672 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:49:28,682 - pyskl - INFO - mean_acc 0.3892 2025-05-06 10:49:28,685 - pyskl - INFO - Epoch(val) [255][198] top1_acc: 0.3894, top5_acc: 0.5882, mean_class_accuracy: 0.3892 2025-05-06 10:50:40,209 - pyskl - INFO - Epoch [256][100/523] lr: 2.702e-03, eta: 2:59:35, time: 0.715, data_time: 0.286, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.5082, loss: 2.5082 2025-05-06 10:51:24,114 - pyskl - INFO - Epoch [256][200/523] lr: 2.680e-03, eta: 2:58:49, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4928, loss: 2.4928 2025-05-06 10:52:08,090 - pyskl - INFO - Epoch [256][300/523] lr: 2.657e-03, eta: 2:58:03, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4526, loss: 2.4526 2025-05-06 10:52:51,470 - pyskl - INFO - Epoch [256][400/523] lr: 2.635e-03, eta: 2:57:16, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.4569, loss: 2.4569 2025-05-06 10:53:35,580 - pyskl - INFO - Epoch [256][500/523] lr: 2.613e-03, eta: 2:56:30, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.5407, loss: 2.5407 2025-05-06 10:53:46,409 - pyskl - INFO - Saving checkpoint at 256 epochs 2025-05-06 10:54:15,197 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:54:15,267 - pyskl - INFO - top1_acc 0.3894 top5_acc 0.5840 2025-05-06 10:54:15,267 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:54:15,275 - pyskl - INFO - mean_acc 0.3888 2025-05-06 10:54:15,276 - pyskl - INFO - Epoch(val) [256][198] top1_acc: 0.3894, top5_acc: 0.5840, mean_class_accuracy: 0.3888 2025-05-06 10:55:25,177 - pyskl - INFO - Epoch [257][100/523] lr: 2.585e-03, eta: 2:55:36, time: 0.699, data_time: 0.268, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.5259, loss: 2.5259 2025-05-06 10:56:08,828 - pyskl - INFO - Epoch [257][200/523] lr: 2.563e-03, eta: 2:54:49, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.5561, loss: 2.5561 2025-05-06 10:56:52,111 - pyskl - INFO - Epoch [257][300/523] lr: 2.541e-03, eta: 2:54:03, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4742, loss: 2.4742 2025-05-06 10:57:34,726 - pyskl - INFO - Epoch [257][400/523] lr: 2.519e-03, eta: 2:53:16, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.5819, loss: 2.5819 2025-05-06 10:58:18,197 - pyskl - INFO - Epoch [257][500/523] lr: 2.497e-03, eta: 2:52:30, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.5384, loss: 2.5384 2025-05-06 10:58:29,143 - pyskl - INFO - Saving checkpoint at 257 epochs 2025-05-06 10:58:57,819 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 10:58:57,901 - pyskl - INFO - top1_acc 0.4026 top5_acc 0.5914 2025-05-06 10:58:57,901 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 10:58:57,911 - pyskl - INFO - mean_acc 0.4022 2025-05-06 10:58:57,982 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_249.pth was removed 2025-05-06 10:58:59,571 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_257.pth. 2025-05-06 10:58:59,573 - pyskl - INFO - Best top1_acc is 0.4026 at 257 epoch. 2025-05-06 10:58:59,576 - pyskl - INFO - Epoch(val) [257][198] top1_acc: 0.4026, top5_acc: 0.5914, mean_class_accuracy: 0.4022 2025-05-06 11:00:09,560 - pyskl - INFO - Epoch [258][100/523] lr: 2.471e-03, eta: 2:51:35, time: 0.700, data_time: 0.266, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4811, loss: 2.4811 2025-05-06 11:00:52,367 - pyskl - INFO - Epoch [258][200/523] lr: 2.449e-03, eta: 2:50:49, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.5001, loss: 2.5001 2025-05-06 11:01:34,886 - pyskl - INFO - Epoch [258][300/523] lr: 2.427e-03, eta: 2:50:02, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.4861, loss: 2.4861 2025-05-06 11:02:19,006 - pyskl - INFO - Epoch [258][400/523] lr: 2.406e-03, eta: 2:49:16, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.5911, loss: 2.5911 2025-05-06 11:03:01,481 - pyskl - INFO - Epoch [258][500/523] lr: 2.384e-03, eta: 2:48:30, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4958, loss: 2.4958 2025-05-06 11:03:12,008 - pyskl - INFO - Saving checkpoint at 258 epochs 2025-05-06 11:03:40,684 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:03:40,772 - pyskl - INFO - top1_acc 0.3977 top5_acc 0.5919 2025-05-06 11:03:40,773 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:03:40,782 - pyskl - INFO - mean_acc 0.3975 2025-05-06 11:03:40,784 - pyskl - INFO - Epoch(val) [258][198] top1_acc: 0.3977, top5_acc: 0.5919, mean_class_accuracy: 0.3975 2025-05-06 11:04:49,401 - pyskl - INFO - Epoch [259][100/523] lr: 2.358e-03, eta: 2:47:35, time: 0.686, data_time: 0.267, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4807, loss: 2.4807 2025-05-06 11:05:32,267 - pyskl - INFO - Epoch [259][200/523] lr: 2.337e-03, eta: 2:46:48, time: 0.429, data_time: 0.001, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.5043, loss: 2.5043 2025-05-06 11:06:15,145 - pyskl - INFO - Epoch [259][300/523] lr: 2.316e-03, eta: 2:46:02, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.4947, loss: 2.4947 2025-05-06 11:06:57,291 - pyskl - INFO - Epoch [259][400/523] lr: 2.295e-03, eta: 2:45:15, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.5762, loss: 2.5762 2025-05-06 11:07:40,312 - pyskl - INFO - Epoch [259][500/523] lr: 2.274e-03, eta: 2:44:29, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.5234, loss: 2.5234 2025-05-06 11:07:50,639 - pyskl - INFO - Saving checkpoint at 259 epochs 2025-05-06 11:08:19,483 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:08:19,551 - pyskl - INFO - top1_acc 0.4023 top5_acc 0.5944 2025-05-06 11:08:19,552 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:08:19,559 - pyskl - INFO - mean_acc 0.4019 2025-05-06 11:08:19,560 - pyskl - INFO - Epoch(val) [259][198] top1_acc: 0.4023, top5_acc: 0.5944, mean_class_accuracy: 0.4019 2025-05-06 11:09:28,200 - pyskl - INFO - Epoch [260][100/523] lr: 2.249e-03, eta: 2:43:34, time: 0.686, data_time: 0.267, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.4539, loss: 2.4539 2025-05-06 11:10:10,491 - pyskl - INFO - Epoch [260][200/523] lr: 2.228e-03, eta: 2:42:48, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3143, loss: 2.3143 2025-05-06 11:10:53,157 - pyskl - INFO - Epoch [260][300/523] lr: 2.207e-03, eta: 2:42:01, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.4773, loss: 2.4773 2025-05-06 11:11:35,353 - pyskl - INFO - Epoch [260][400/523] lr: 2.187e-03, eta: 2:41:15, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.5036, loss: 2.5036 2025-05-06 11:12:18,565 - pyskl - INFO - Epoch [260][500/523] lr: 2.166e-03, eta: 2:40:28, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.4943, loss: 2.4943 2025-05-06 11:12:29,260 - pyskl - INFO - Saving checkpoint at 260 epochs 2025-05-06 11:12:58,177 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:12:58,248 - pyskl - INFO - top1_acc 0.3996 top5_acc 0.5992 2025-05-06 11:12:58,249 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:12:58,257 - pyskl - INFO - mean_acc 0.3989 2025-05-06 11:12:58,258 - pyskl - INFO - Epoch(val) [260][198] top1_acc: 0.3996, top5_acc: 0.5992, mean_class_accuracy: 0.3989 2025-05-06 11:14:06,482 - pyskl - INFO - Epoch [261][100/523] lr: 2.141e-03, eta: 2:39:34, time: 0.682, data_time: 0.262, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.4930, loss: 2.4930 2025-05-06 11:14:48,218 - pyskl - INFO - Epoch [261][200/523] lr: 2.121e-03, eta: 2:38:47, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.4838, loss: 2.4838 2025-05-06 11:15:31,783 - pyskl - INFO - Epoch [261][300/523] lr: 2.101e-03, eta: 2:38:01, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4735, loss: 2.4735 2025-05-06 11:16:15,136 - pyskl - INFO - Epoch [261][400/523] lr: 2.081e-03, eta: 2:37:14, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.5112, loss: 2.5112 2025-05-06 11:16:58,446 - pyskl - INFO - Epoch [261][500/523] lr: 2.061e-03, eta: 2:36:28, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.4122, loss: 2.4122 2025-05-06 11:17:09,054 - pyskl - INFO - Saving checkpoint at 261 epochs 2025-05-06 11:17:37,741 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:17:37,823 - pyskl - INFO - top1_acc 0.3992 top5_acc 0.5936 2025-05-06 11:17:37,823 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:17:37,834 - pyskl - INFO - mean_acc 0.3985 2025-05-06 11:17:37,837 - pyskl - INFO - Epoch(val) [261][198] top1_acc: 0.3992, top5_acc: 0.5936, mean_class_accuracy: 0.3985 2025-05-06 11:18:46,427 - pyskl - INFO - Epoch [262][100/523] lr: 2.036e-03, eta: 2:35:33, time: 0.686, data_time: 0.263, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.4932, loss: 2.4932 2025-05-06 11:19:30,360 - pyskl - INFO - Epoch [262][200/523] lr: 2.017e-03, eta: 2:34:47, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.5324, loss: 2.5324 2025-05-06 11:20:14,154 - pyskl - INFO - Epoch [262][300/523] lr: 1.997e-03, eta: 2:34:00, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.5265, loss: 2.5265 2025-05-06 11:20:58,022 - pyskl - INFO - Epoch [262][400/523] lr: 1.978e-03, eta: 2:33:14, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4481, loss: 2.4481 2025-05-06 11:21:41,889 - pyskl - INFO - Epoch [262][500/523] lr: 1.958e-03, eta: 2:32:28, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4230, loss: 2.4230 2025-05-06 11:21:52,340 - pyskl - INFO - Saving checkpoint at 262 epochs 2025-05-06 11:22:20,854 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:22:20,923 - pyskl - INFO - top1_acc 0.4049 top5_acc 0.5920 2025-05-06 11:22:20,923 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:22:20,932 - pyskl - INFO - mean_acc 0.4048 2025-05-06 11:22:20,993 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_257.pth was removed 2025-05-06 11:22:22,604 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_262.pth. 2025-05-06 11:22:22,606 - pyskl - INFO - Best top1_acc is 0.4049 at 262 epoch. 2025-05-06 11:22:22,609 - pyskl - INFO - Epoch(val) [262][198] top1_acc: 0.4049, top5_acc: 0.5920, mean_class_accuracy: 0.4048 2025-05-06 11:23:31,981 - pyskl - INFO - Epoch [263][100/523] lr: 1.934e-03, eta: 2:31:33, time: 0.694, data_time: 0.267, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4497, loss: 2.4497 2025-05-06 11:24:15,587 - pyskl - INFO - Epoch [263][200/523] lr: 1.915e-03, eta: 2:30:47, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.4799, loss: 2.4799 2025-05-06 11:24:59,276 - pyskl - INFO - Epoch [263][300/523] lr: 1.896e-03, eta: 2:30:00, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4519, loss: 2.4519 2025-05-06 11:25:42,506 - pyskl - INFO - Epoch [263][400/523] lr: 1.877e-03, eta: 2:29:14, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.3921, loss: 2.3921 2025-05-06 11:26:26,423 - pyskl - INFO - Epoch [263][500/523] lr: 1.858e-03, eta: 2:28:28, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 0.9997, loss_cls: 2.4164, loss: 2.4164 2025-05-06 11:26:37,092 - pyskl - INFO - Saving checkpoint at 263 epochs 2025-05-06 11:27:05,336 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:27:05,405 - pyskl - INFO - top1_acc 0.4021 top5_acc 0.5981 2025-05-06 11:27:05,405 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:27:05,412 - pyskl - INFO - mean_acc 0.4004 2025-05-06 11:27:05,414 - pyskl - INFO - Epoch(val) [263][198] top1_acc: 0.4021, top5_acc: 0.5981, mean_class_accuracy: 0.4004 2025-05-06 11:28:14,900 - pyskl - INFO - Epoch [264][100/523] lr: 1.835e-03, eta: 2:27:33, time: 0.695, data_time: 0.266, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.3684, loss: 2.3684 2025-05-06 11:28:57,747 - pyskl - INFO - Epoch [264][200/523] lr: 1.816e-03, eta: 2:26:47, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4657, loss: 2.4657 2025-05-06 11:29:41,236 - pyskl - INFO - Epoch [264][300/523] lr: 1.797e-03, eta: 2:26:00, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.4407, loss: 2.4407 2025-05-06 11:30:24,798 - pyskl - INFO - Epoch [264][400/523] lr: 1.779e-03, eta: 2:25:14, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4684, loss: 2.4684 2025-05-06 11:31:07,630 - pyskl - INFO - Epoch [264][500/523] lr: 1.760e-03, eta: 2:24:28, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.3875, loss: 2.3875 2025-05-06 11:31:18,359 - pyskl - INFO - Saving checkpoint at 264 epochs 2025-05-06 11:31:47,383 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:31:47,480 - pyskl - INFO - top1_acc 0.4053 top5_acc 0.5943 2025-05-06 11:31:47,481 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:31:47,491 - pyskl - INFO - mean_acc 0.4046 2025-05-06 11:31:47,560 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_262.pth was removed 2025-05-06 11:31:49,182 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_264.pth. 2025-05-06 11:31:49,184 - pyskl - INFO - Best top1_acc is 0.4053 at 264 epoch. 2025-05-06 11:31:49,191 - pyskl - INFO - Epoch(val) [264][198] top1_acc: 0.4053, top5_acc: 0.5943, mean_class_accuracy: 0.4046 2025-05-06 11:32:58,434 - pyskl - INFO - Epoch [265][100/523] lr: 1.737e-03, eta: 2:23:33, time: 0.692, data_time: 0.265, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.4244, loss: 2.4244 2025-05-06 11:33:41,723 - pyskl - INFO - Epoch [265][200/523] lr: 1.719e-03, eta: 2:22:46, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3826, loss: 2.3826 2025-05-06 11:34:24,721 - pyskl - INFO - Epoch [265][300/523] lr: 1.701e-03, eta: 2:22:00, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4411, loss: 2.4411 2025-05-06 11:35:08,705 - pyskl - INFO - Epoch [265][400/523] lr: 1.683e-03, eta: 2:21:14, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.4084, loss: 2.4084 2025-05-06 11:35:52,390 - pyskl - INFO - Epoch [265][500/523] lr: 1.665e-03, eta: 2:20:27, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.3942, loss: 2.3942 2025-05-06 11:36:03,341 - pyskl - INFO - Saving checkpoint at 265 epochs 2025-05-06 11:36:32,011 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:36:32,082 - pyskl - INFO - top1_acc 0.4005 top5_acc 0.5924 2025-05-06 11:36:32,082 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:36:32,091 - pyskl - INFO - mean_acc 0.3993 2025-05-06 11:36:32,093 - pyskl - INFO - Epoch(val) [265][198] top1_acc: 0.4005, top5_acc: 0.5924, mean_class_accuracy: 0.3993 2025-05-06 11:37:41,154 - pyskl - INFO - Epoch [266][100/523] lr: 1.643e-03, eta: 2:19:33, time: 0.691, data_time: 0.264, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.3792, loss: 2.3792 2025-05-06 11:38:24,689 - pyskl - INFO - Epoch [266][200/523] lr: 1.625e-03, eta: 2:18:46, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3796, loss: 2.3796 2025-05-06 11:39:08,074 - pyskl - INFO - Epoch [266][300/523] lr: 1.607e-03, eta: 2:18:00, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4537, loss: 2.4537 2025-05-06 11:39:52,250 - pyskl - INFO - Epoch [266][400/523] lr: 1.590e-03, eta: 2:17:14, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.3901, loss: 2.3901 2025-05-06 11:40:35,006 - pyskl - INFO - Epoch [266][500/523] lr: 1.572e-03, eta: 2:16:27, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 0.9997, loss_cls: 2.3415, loss: 2.3415 2025-05-06 11:40:45,724 - pyskl - INFO - Saving checkpoint at 266 epochs 2025-05-06 11:41:14,249 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:41:14,327 - pyskl - INFO - top1_acc 0.4054 top5_acc 0.5908 2025-05-06 11:41:14,328 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:41:14,337 - pyskl - INFO - mean_acc 0.4040 2025-05-06 11:41:14,397 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_264.pth was removed 2025-05-06 11:41:15,964 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_266.pth. 2025-05-06 11:41:15,967 - pyskl - INFO - Best top1_acc is 0.4054 at 266 epoch. 2025-05-06 11:41:15,970 - pyskl - INFO - Epoch(val) [266][198] top1_acc: 0.4054, top5_acc: 0.5908, mean_class_accuracy: 0.4040 2025-05-06 11:42:24,303 - pyskl - INFO - Epoch [267][100/523] lr: 1.551e-03, eta: 2:15:32, time: 0.683, data_time: 0.258, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4628, loss: 2.4628 2025-05-06 11:43:07,505 - pyskl - INFO - Epoch [267][200/523] lr: 1.533e-03, eta: 2:14:46, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3552, loss: 2.3552 2025-05-06 11:43:50,491 - pyskl - INFO - Epoch [267][300/523] lr: 1.516e-03, eta: 2:14:00, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.3261, loss: 2.3261 2025-05-06 11:44:33,806 - pyskl - INFO - Epoch [267][400/523] lr: 1.499e-03, eta: 2:13:13, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4484, loss: 2.4484 2025-05-06 11:45:17,482 - pyskl - INFO - Epoch [267][500/523] lr: 1.482e-03, eta: 2:12:27, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3404, loss: 2.3404 2025-05-06 11:45:27,975 - pyskl - INFO - Saving checkpoint at 267 epochs 2025-05-06 11:45:56,273 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:45:56,343 - pyskl - INFO - top1_acc 0.4038 top5_acc 0.5952 2025-05-06 11:45:56,343 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:45:56,350 - pyskl - INFO - mean_acc 0.4038 2025-05-06 11:45:56,351 - pyskl - INFO - Epoch(val) [267][198] top1_acc: 0.4038, top5_acc: 0.5952, mean_class_accuracy: 0.4038 2025-05-06 11:47:04,655 - pyskl - INFO - Epoch [268][100/523] lr: 1.461e-03, eta: 2:11:32, time: 0.683, data_time: 0.262, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.4232, loss: 2.4232 2025-05-06 11:47:47,839 - pyskl - INFO - Epoch [268][200/523] lr: 1.444e-03, eta: 2:10:45, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2989, loss: 2.2989 2025-05-06 11:48:30,769 - pyskl - INFO - Epoch [268][300/523] lr: 1.428e-03, eta: 2:09:59, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.3321, loss: 2.3321 2025-05-06 11:49:13,573 - pyskl - INFO - Epoch [268][400/523] lr: 1.411e-03, eta: 2:09:13, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.3543, loss: 2.3543 2025-05-06 11:49:56,782 - pyskl - INFO - Epoch [268][500/523] lr: 1.395e-03, eta: 2:08:26, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.3853, loss: 2.3853 2025-05-06 11:50:07,570 - pyskl - INFO - Saving checkpoint at 268 epochs 2025-05-06 11:50:35,833 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:50:35,902 - pyskl - INFO - top1_acc 0.4092 top5_acc 0.5957 2025-05-06 11:50:35,903 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:50:35,910 - pyskl - INFO - mean_acc 0.4094 2025-05-06 11:50:35,973 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_266.pth was removed 2025-05-06 11:50:37,543 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_268.pth. 2025-05-06 11:50:37,545 - pyskl - INFO - Best top1_acc is 0.4092 at 268 epoch. 2025-05-06 11:50:37,547 - pyskl - INFO - Epoch(val) [268][198] top1_acc: 0.4092, top5_acc: 0.5957, mean_class_accuracy: 0.4094 2025-05-06 11:51:45,481 - pyskl - INFO - Epoch [269][100/523] lr: 1.374e-03, eta: 2:07:31, time: 0.679, data_time: 0.258, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.3007, loss: 2.3007 2025-05-06 11:52:28,283 - pyskl - INFO - Epoch [269][200/523] lr: 1.358e-03, eta: 2:06:45, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3961, loss: 2.3961 2025-05-06 11:53:11,399 - pyskl - INFO - Epoch [269][300/523] lr: 1.342e-03, eta: 2:05:58, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.4045, loss: 2.4045 2025-05-06 11:53:55,280 - pyskl - INFO - Epoch [269][400/523] lr: 1.326e-03, eta: 2:05:12, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3175, loss: 2.3175 2025-05-06 11:54:37,529 - pyskl - INFO - Epoch [269][500/523] lr: 1.310e-03, eta: 2:04:26, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4010, loss: 2.4010 2025-05-06 11:54:48,145 - pyskl - INFO - Saving checkpoint at 269 epochs 2025-05-06 11:55:16,443 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:55:16,511 - pyskl - INFO - top1_acc 0.4067 top5_acc 0.5951 2025-05-06 11:55:16,512 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:55:16,519 - pyskl - INFO - mean_acc 0.4055 2025-05-06 11:55:16,520 - pyskl - INFO - Epoch(val) [269][198] top1_acc: 0.4067, top5_acc: 0.5951, mean_class_accuracy: 0.4055 2025-05-06 11:56:25,053 - pyskl - INFO - Epoch [270][100/523] lr: 1.290e-03, eta: 2:03:31, time: 0.685, data_time: 0.260, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3196, loss: 2.3196 2025-05-06 11:57:07,833 - pyskl - INFO - Epoch [270][200/523] lr: 1.274e-03, eta: 2:02:44, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3363, loss: 2.3363 2025-05-06 11:57:50,651 - pyskl - INFO - Epoch [270][300/523] lr: 1.258e-03, eta: 2:01:58, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3227, loss: 2.3227 2025-05-06 11:58:33,720 - pyskl - INFO - Epoch [270][400/523] lr: 1.243e-03, eta: 2:01:12, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3979, loss: 2.3979 2025-05-06 11:59:17,083 - pyskl - INFO - Epoch [270][500/523] lr: 1.227e-03, eta: 2:00:25, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.4025, loss: 2.4025 2025-05-06 11:59:27,780 - pyskl - INFO - Saving checkpoint at 270 epochs 2025-05-06 11:59:55,916 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 11:59:55,985 - pyskl - INFO - top1_acc 0.4027 top5_acc 0.5920 2025-05-06 11:59:55,986 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 11:59:55,993 - pyskl - INFO - mean_acc 0.4021 2025-05-06 11:59:55,994 - pyskl - INFO - Epoch(val) [270][198] top1_acc: 0.4027, top5_acc: 0.5920, mean_class_accuracy: 0.4021 2025-05-06 12:01:03,860 - pyskl - INFO - Epoch [271][100/523] lr: 1.208e-03, eta: 1:59:30, time: 0.679, data_time: 0.258, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3411, loss: 2.3411 2025-05-06 12:01:47,179 - pyskl - INFO - Epoch [271][200/523] lr: 1.193e-03, eta: 1:58:44, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.2994, loss: 2.2994 2025-05-06 12:02:31,209 - pyskl - INFO - Epoch [271][300/523] lr: 1.178e-03, eta: 1:57:57, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.2593, loss: 2.2593 2025-05-06 12:03:14,382 - pyskl - INFO - Epoch [271][400/523] lr: 1.163e-03, eta: 1:57:11, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.3182, loss: 2.3182 2025-05-06 12:03:56,347 - pyskl - INFO - Epoch [271][500/523] lr: 1.148e-03, eta: 1:56:25, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.3006, loss: 2.3006 2025-05-06 12:04:06,676 - pyskl - INFO - Saving checkpoint at 271 epochs 2025-05-06 12:04:34,998 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:04:35,067 - pyskl - INFO - top1_acc 0.4016 top5_acc 0.6012 2025-05-06 12:04:35,067 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:04:35,074 - pyskl - INFO - mean_acc 0.4014 2025-05-06 12:04:35,075 - pyskl - INFO - Epoch(val) [271][198] top1_acc: 0.4016, top5_acc: 0.6012, mean_class_accuracy: 0.4014 2025-05-06 12:05:43,131 - pyskl - INFO - Epoch [272][100/523] lr: 1.129e-03, eta: 1:55:29, time: 0.681, data_time: 0.262, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.3379, loss: 2.3379 2025-05-06 12:06:26,365 - pyskl - INFO - Epoch [272][200/523] lr: 1.114e-03, eta: 1:54:43, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3131, loss: 2.3131 2025-05-06 12:07:09,713 - pyskl - INFO - Epoch [272][300/523] lr: 1.100e-03, eta: 1:53:57, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3694, loss: 2.3694 2025-05-06 12:07:52,432 - pyskl - INFO - Epoch [272][400/523] lr: 1.085e-03, eta: 1:53:11, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.3746, loss: 2.3746 2025-05-06 12:08:35,928 - pyskl - INFO - Epoch [272][500/523] lr: 1.070e-03, eta: 1:52:24, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.2690, loss: 2.2690 2025-05-06 12:08:46,668 - pyskl - INFO - Saving checkpoint at 272 epochs 2025-05-06 12:09:14,871 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:09:14,940 - pyskl - INFO - top1_acc 0.4061 top5_acc 0.5976 2025-05-06 12:09:14,940 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:09:14,947 - pyskl - INFO - mean_acc 0.4050 2025-05-06 12:09:14,949 - pyskl - INFO - Epoch(val) [272][198] top1_acc: 0.4061, top5_acc: 0.5976, mean_class_accuracy: 0.4050 2025-05-06 12:10:22,965 - pyskl - INFO - Epoch [273][100/523] lr: 1.053e-03, eta: 1:51:29, time: 0.680, data_time: 0.260, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3485, loss: 2.3485 2025-05-06 12:11:05,489 - pyskl - INFO - Epoch [273][200/523] lr: 1.038e-03, eta: 1:50:43, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.3105, loss: 2.3105 2025-05-06 12:11:48,088 - pyskl - INFO - Epoch [273][300/523] lr: 1.024e-03, eta: 1:49:56, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.3320, loss: 2.3320 2025-05-06 12:12:31,619 - pyskl - INFO - Epoch [273][400/523] lr: 1.010e-03, eta: 1:49:10, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2764, loss: 2.2764 2025-05-06 12:13:14,679 - pyskl - INFO - Epoch [273][500/523] lr: 9.960e-04, eta: 1:48:24, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2962, loss: 2.2962 2025-05-06 12:13:24,997 - pyskl - INFO - Saving checkpoint at 273 epochs 2025-05-06 12:13:53,157 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:13:53,230 - pyskl - INFO - top1_acc 0.4073 top5_acc 0.5981 2025-05-06 12:13:53,230 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:13:53,238 - pyskl - INFO - mean_acc 0.4066 2025-05-06 12:13:53,239 - pyskl - INFO - Epoch(val) [273][198] top1_acc: 0.4073, top5_acc: 0.5981, mean_class_accuracy: 0.4066 2025-05-06 12:15:01,303 - pyskl - INFO - Epoch [274][100/523] lr: 9.789e-04, eta: 1:47:28, time: 0.681, data_time: 0.259, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2087, loss: 2.2087 2025-05-06 12:15:43,427 - pyskl - INFO - Epoch [274][200/523] lr: 9.651e-04, eta: 1:46:42, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2523, loss: 2.2523 2025-05-06 12:16:26,129 - pyskl - INFO - Epoch [274][300/523] lr: 9.513e-04, eta: 1:45:56, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2490, loss: 2.2490 2025-05-06 12:17:08,589 - pyskl - INFO - Epoch [274][400/523] lr: 9.377e-04, eta: 1:45:09, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.2638, loss: 2.2638 2025-05-06 12:17:51,514 - pyskl - INFO - Epoch [274][500/523] lr: 9.242e-04, eta: 1:44:23, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2427, loss: 2.2427 2025-05-06 12:18:02,225 - pyskl - INFO - Saving checkpoint at 274 epochs 2025-05-06 12:18:30,710 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:18:30,778 - pyskl - INFO - top1_acc 0.4024 top5_acc 0.5979 2025-05-06 12:18:30,778 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:18:30,786 - pyskl - INFO - mean_acc 0.4020 2025-05-06 12:18:30,787 - pyskl - INFO - Epoch(val) [274][198] top1_acc: 0.4024, top5_acc: 0.5979, mean_class_accuracy: 0.4020 2025-05-06 12:19:38,893 - pyskl - INFO - Epoch [275][100/523] lr: 9.077e-04, eta: 1:43:28, time: 0.681, data_time: 0.261, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2541, loss: 2.2541 2025-05-06 12:20:21,380 - pyskl - INFO - Epoch [275][200/523] lr: 8.943e-04, eta: 1:42:41, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2355, loss: 2.2355 2025-05-06 12:21:04,945 - pyskl - INFO - Epoch [275][300/523] lr: 8.811e-04, eta: 1:41:55, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2659, loss: 2.2659 2025-05-06 12:21:48,857 - pyskl - INFO - Epoch [275][400/523] lr: 8.680e-04, eta: 1:41:09, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2248, loss: 2.2248 2025-05-06 12:22:32,481 - pyskl - INFO - Epoch [275][500/523] lr: 8.550e-04, eta: 1:40:23, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3493, loss: 2.3493 2025-05-06 12:22:43,172 - pyskl - INFO - Saving checkpoint at 275 epochs 2025-05-06 12:23:11,550 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:23:11,623 - pyskl - INFO - top1_acc 0.3992 top5_acc 0.5656 2025-05-06 12:23:11,624 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:23:11,631 - pyskl - INFO - mean_acc 0.3984 2025-05-06 12:23:11,633 - pyskl - INFO - Epoch(val) [275][198] top1_acc: 0.3992, top5_acc: 0.5656, mean_class_accuracy: 0.3984 2025-05-06 12:24:19,875 - pyskl - INFO - Epoch [276][100/523] lr: 8.391e-04, eta: 1:39:27, time: 0.682, data_time: 0.262, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.3083, loss: 2.3083 2025-05-06 12:25:02,754 - pyskl - INFO - Epoch [276][200/523] lr: 8.263e-04, eta: 1:38:41, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2434, loss: 2.2434 2025-05-06 12:25:46,237 - pyskl - INFO - Epoch [276][300/523] lr: 8.135e-04, eta: 1:37:55, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3358, loss: 2.3358 2025-05-06 12:26:29,062 - pyskl - INFO - Epoch [276][400/523] lr: 8.009e-04, eta: 1:37:08, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2450, loss: 2.2450 2025-05-06 12:27:12,795 - pyskl - INFO - Epoch [276][500/523] lr: 7.884e-04, eta: 1:36:22, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2457, loss: 2.2457 2025-05-06 12:27:23,631 - pyskl - INFO - Saving checkpoint at 276 epochs 2025-05-06 12:27:52,147 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:27:52,216 - pyskl - INFO - top1_acc 0.4049 top5_acc 0.5987 2025-05-06 12:27:52,216 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:27:52,222 - pyskl - INFO - mean_acc 0.4040 2025-05-06 12:27:52,224 - pyskl - INFO - Epoch(val) [276][198] top1_acc: 0.4049, top5_acc: 0.5987, mean_class_accuracy: 0.4040 2025-05-06 12:29:00,441 - pyskl - INFO - Epoch [277][100/523] lr: 7.731e-04, eta: 1:35:27, time: 0.682, data_time: 0.258, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2645, loss: 2.2645 2025-05-06 12:29:42,658 - pyskl - INFO - Epoch [277][200/523] lr: 7.608e-04, eta: 1:34:40, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2638, loss: 2.2638 2025-05-06 12:30:25,528 - pyskl - INFO - Epoch [277][300/523] lr: 7.486e-04, eta: 1:33:54, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2988, loss: 2.2988 2025-05-06 12:31:08,390 - pyskl - INFO - Epoch [277][400/523] lr: 7.365e-04, eta: 1:33:08, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.3150, loss: 2.3150 2025-05-06 12:31:50,647 - pyskl - INFO - Epoch [277][500/523] lr: 7.245e-04, eta: 1:32:21, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2331, loss: 2.2331 2025-05-06 12:32:00,821 - pyskl - INFO - Saving checkpoint at 277 epochs 2025-05-06 12:32:29,324 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:32:29,393 - pyskl - INFO - top1_acc 0.4023 top5_acc 0.5965 2025-05-06 12:32:29,393 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:32:29,400 - pyskl - INFO - mean_acc 0.4010 2025-05-06 12:32:29,401 - pyskl - INFO - Epoch(val) [277][198] top1_acc: 0.4023, top5_acc: 0.5965, mean_class_accuracy: 0.4010 2025-05-06 12:33:37,355 - pyskl - INFO - Epoch [278][100/523] lr: 7.099e-04, eta: 1:31:26, time: 0.679, data_time: 0.257, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.3014, loss: 2.3014 2025-05-06 12:34:19,201 - pyskl - INFO - Epoch [278][200/523] lr: 6.981e-04, eta: 1:30:40, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2917, loss: 2.2917 2025-05-06 12:35:01,742 - pyskl - INFO - Epoch [278][300/523] lr: 6.864e-04, eta: 1:29:53, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2389, loss: 2.2389 2025-05-06 12:35:45,435 - pyskl - INFO - Epoch [278][400/523] lr: 6.748e-04, eta: 1:29:07, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2419, loss: 2.2419 2025-05-06 12:36:28,757 - pyskl - INFO - Epoch [278][500/523] lr: 6.633e-04, eta: 1:28:21, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2008, loss: 2.2008 2025-05-06 12:36:39,478 - pyskl - INFO - Saving checkpoint at 278 epochs 2025-05-06 12:37:07,801 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:37:07,874 - pyskl - INFO - top1_acc 0.4092 top5_acc 0.6012 2025-05-06 12:37:07,875 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:37:07,882 - pyskl - INFO - mean_acc 0.4087 2025-05-06 12:37:07,884 - pyskl - INFO - Epoch(val) [278][198] top1_acc: 0.4092, top5_acc: 0.6012, mean_class_accuracy: 0.4087 2025-05-06 12:38:16,722 - pyskl - INFO - Epoch [279][100/523] lr: 6.493e-04, eta: 1:27:25, time: 0.688, data_time: 0.261, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2277, loss: 2.2277 2025-05-06 12:38:58,878 - pyskl - INFO - Epoch [279][200/523] lr: 6.380e-04, eta: 1:26:39, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1774, loss: 2.1774 2025-05-06 12:39:42,752 - pyskl - INFO - Epoch [279][300/523] lr: 6.268e-04, eta: 1:25:53, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2783, loss: 2.2783 2025-05-06 12:40:26,130 - pyskl - INFO - Epoch [279][400/523] lr: 6.157e-04, eta: 1:25:07, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2753, loss: 2.2753 2025-05-06 12:41:09,138 - pyskl - INFO - Epoch [279][500/523] lr: 6.047e-04, eta: 1:24:20, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.2439, loss: 2.2439 2025-05-06 12:41:19,405 - pyskl - INFO - Saving checkpoint at 279 epochs 2025-05-06 12:41:47,374 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:41:47,442 - pyskl - INFO - top1_acc 0.4051 top5_acc 0.5966 2025-05-06 12:41:47,442 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:41:47,450 - pyskl - INFO - mean_acc 0.4044 2025-05-06 12:41:47,451 - pyskl - INFO - Epoch(val) [279][198] top1_acc: 0.4051, top5_acc: 0.5966, mean_class_accuracy: 0.4044 2025-05-06 12:42:55,186 - pyskl - INFO - Epoch [280][100/523] lr: 5.913e-04, eta: 1:23:25, time: 0.677, data_time: 0.258, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2542, loss: 2.2542 2025-05-06 12:43:36,942 - pyskl - INFO - Epoch [280][200/523] lr: 5.805e-04, eta: 1:22:38, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2602, loss: 2.2602 2025-05-06 12:44:19,994 - pyskl - INFO - Epoch [280][300/523] lr: 5.699e-04, eta: 1:21:52, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2969, loss: 2.2969 2025-05-06 12:45:03,592 - pyskl - INFO - Epoch [280][400/523] lr: 5.593e-04, eta: 1:21:06, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2933, loss: 2.2933 2025-05-06 12:45:46,631 - pyskl - INFO - Epoch [280][500/523] lr: 5.488e-04, eta: 1:20:20, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2479, loss: 2.2479 2025-05-06 12:45:57,369 - pyskl - INFO - Saving checkpoint at 280 epochs 2025-05-06 12:46:25,660 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:46:25,730 - pyskl - INFO - top1_acc 0.4065 top5_acc 0.6025 2025-05-06 12:46:25,730 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:46:25,738 - pyskl - INFO - mean_acc 0.4057 2025-05-06 12:46:25,739 - pyskl - INFO - Epoch(val) [280][198] top1_acc: 0.4065, top5_acc: 0.6025, mean_class_accuracy: 0.4057 2025-05-06 12:47:34,281 - pyskl - INFO - Epoch [281][100/523] lr: 5.361e-04, eta: 1:19:24, time: 0.685, data_time: 0.260, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1901, loss: 2.1901 2025-05-06 12:48:16,385 - pyskl - INFO - Epoch [281][200/523] lr: 5.258e-04, eta: 1:18:38, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2276, loss: 2.2276 2025-05-06 12:49:00,285 - pyskl - INFO - Epoch [281][300/523] lr: 5.156e-04, eta: 1:17:52, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1695, loss: 2.1695 2025-05-06 12:49:43,887 - pyskl - INFO - Epoch [281][400/523] lr: 5.056e-04, eta: 1:17:06, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2169, loss: 2.2169 2025-05-06 12:50:26,638 - pyskl - INFO - Epoch [281][500/523] lr: 4.956e-04, eta: 1:16:19, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1969, loss: 2.1969 2025-05-06 12:50:37,042 - pyskl - INFO - Saving checkpoint at 281 epochs 2025-05-06 12:51:05,347 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:51:05,415 - pyskl - INFO - top1_acc 0.4086 top5_acc 0.5954 2025-05-06 12:51:05,415 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:51:05,422 - pyskl - INFO - mean_acc 0.4073 2025-05-06 12:51:05,423 - pyskl - INFO - Epoch(val) [281][198] top1_acc: 0.4086, top5_acc: 0.5954, mean_class_accuracy: 0.4073 2025-05-06 12:52:14,104 - pyskl - INFO - Epoch [282][100/523] lr: 4.835e-04, eta: 1:15:24, time: 0.687, data_time: 0.258, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2444, loss: 2.2444 2025-05-06 12:52:56,176 - pyskl - INFO - Epoch [282][200/523] lr: 4.737e-04, eta: 1:14:37, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2125, loss: 2.2125 2025-05-06 12:53:38,680 - pyskl - INFO - Epoch [282][300/523] lr: 4.641e-04, eta: 1:13:51, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1541, loss: 2.1541 2025-05-06 12:54:21,674 - pyskl - INFO - Epoch [282][400/523] lr: 4.545e-04, eta: 1:13:05, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1448, loss: 2.1448 2025-05-06 12:55:05,101 - pyskl - INFO - Epoch [282][500/523] lr: 4.451e-04, eta: 1:12:19, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2372, loss: 2.2372 2025-05-06 12:55:15,677 - pyskl - INFO - Saving checkpoint at 282 epochs 2025-05-06 12:55:44,107 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 12:55:44,176 - pyskl - INFO - top1_acc 0.4067 top5_acc 0.5984 2025-05-06 12:55:44,176 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 12:55:44,184 - pyskl - INFO - mean_acc 0.4064 2025-05-06 12:55:44,185 - pyskl - INFO - Epoch(val) [282][198] top1_acc: 0.4067, top5_acc: 0.5984, mean_class_accuracy: 0.4064 2025-05-06 12:56:53,126 - pyskl - INFO - Epoch [283][100/523] lr: 4.336e-04, eta: 1:11:23, time: 0.689, data_time: 0.259, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2249, loss: 2.2249 2025-05-06 12:57:35,692 - pyskl - INFO - Epoch [283][200/523] lr: 4.243e-04, eta: 1:10:37, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2118, loss: 2.2118 2025-05-06 12:58:18,516 - pyskl - INFO - Epoch [283][300/523] lr: 4.152e-04, eta: 1:09:51, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2418, loss: 2.2418 2025-05-06 12:59:00,977 - pyskl - INFO - Epoch [283][400/523] lr: 4.062e-04, eta: 1:09:05, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2004, loss: 2.2004 2025-05-06 12:59:43,272 - pyskl - INFO - Epoch [283][500/523] lr: 3.972e-04, eta: 1:08:18, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1360, loss: 2.1360 2025-05-06 12:59:53,726 - pyskl - INFO - Saving checkpoint at 283 epochs 2025-05-06 13:00:22,142 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:00:22,212 - pyskl - INFO - top1_acc 0.4064 top5_acc 0.5998 2025-05-06 13:00:22,212 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:00:22,220 - pyskl - INFO - mean_acc 0.4052 2025-05-06 13:00:22,221 - pyskl - INFO - Epoch(val) [283][198] top1_acc: 0.4064, top5_acc: 0.5998, mean_class_accuracy: 0.4052 2025-05-06 13:01:32,099 - pyskl - INFO - Epoch [284][100/523] lr: 3.864e-04, eta: 1:07:23, time: 0.699, data_time: 0.265, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1778, loss: 2.1778 2025-05-06 13:02:14,026 - pyskl - INFO - Epoch [284][200/523] lr: 3.777e-04, eta: 1:06:36, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2352, loss: 2.2352 2025-05-06 13:02:57,298 - pyskl - INFO - Epoch [284][300/523] lr: 3.690e-04, eta: 1:05:50, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.2667, loss: 2.2667 2025-05-06 13:03:40,599 - pyskl - INFO - Epoch [284][400/523] lr: 3.605e-04, eta: 1:05:04, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1614, loss: 2.1614 2025-05-06 13:04:24,786 - pyskl - INFO - Epoch [284][500/523] lr: 3.521e-04, eta: 1:04:18, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1880, loss: 2.1880 2025-05-06 13:04:35,513 - pyskl - INFO - Saving checkpoint at 284 epochs 2025-05-06 13:05:03,742 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:05:03,812 - pyskl - INFO - top1_acc 0.4051 top5_acc 0.6011 2025-05-06 13:05:03,812 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:05:03,819 - pyskl - INFO - mean_acc 0.4049 2025-05-06 13:05:03,821 - pyskl - INFO - Epoch(val) [284][198] top1_acc: 0.4051, top5_acc: 0.6011, mean_class_accuracy: 0.4049 2025-05-06 13:06:12,908 - pyskl - INFO - Epoch [285][100/523] lr: 3.419e-04, eta: 1:03:22, time: 0.691, data_time: 0.256, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2468, loss: 2.2468 2025-05-06 13:06:54,841 - pyskl - INFO - Epoch [285][200/523] lr: 3.337e-04, eta: 1:02:36, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2532, loss: 2.2532 2025-05-06 13:07:38,508 - pyskl - INFO - Epoch [285][300/523] lr: 3.256e-04, eta: 1:01:50, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1420, loss: 2.1420 2025-05-06 13:08:22,526 - pyskl - INFO - Epoch [285][400/523] lr: 3.176e-04, eta: 1:01:04, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1305, loss: 2.1305 2025-05-06 13:09:05,943 - pyskl - INFO - Epoch [285][500/523] lr: 3.097e-04, eta: 1:00:18, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2355, loss: 2.2355 2025-05-06 13:09:16,301 - pyskl - INFO - Saving checkpoint at 285 epochs 2025-05-06 13:09:44,935 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:09:45,003 - pyskl - INFO - top1_acc 0.4057 top5_acc 0.6009 2025-05-06 13:09:45,004 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:09:45,011 - pyskl - INFO - mean_acc 0.4041 2025-05-06 13:09:45,012 - pyskl - INFO - Epoch(val) [285][198] top1_acc: 0.4057, top5_acc: 0.6009, mean_class_accuracy: 0.4041 2025-05-06 13:10:53,948 - pyskl - INFO - Epoch [286][100/523] lr: 3.001e-04, eta: 0:59:22, time: 0.689, data_time: 0.259, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1485, loss: 2.1485 2025-05-06 13:11:35,680 - pyskl - INFO - Epoch [286][200/523] lr: 2.924e-04, eta: 0:58:35, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2383, loss: 2.2383 2025-05-06 13:12:18,211 - pyskl - INFO - Epoch [286][300/523] lr: 2.848e-04, eta: 0:57:49, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2646, loss: 2.2646 2025-05-06 13:13:01,870 - pyskl - INFO - Epoch [286][400/523] lr: 2.773e-04, eta: 0:57:03, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0833, loss: 2.0833 2025-05-06 13:13:44,799 - pyskl - INFO - Epoch [286][500/523] lr: 2.699e-04, eta: 0:56:17, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2306, loss: 2.2306 2025-05-06 13:13:55,479 - pyskl - INFO - Saving checkpoint at 286 epochs 2025-05-06 13:14:23,718 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:14:23,787 - pyskl - INFO - top1_acc 0.4086 top5_acc 0.6006 2025-05-06 13:14:23,787 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:14:23,794 - pyskl - INFO - mean_acc 0.4083 2025-05-06 13:14:23,795 - pyskl - INFO - Epoch(val) [286][198] top1_acc: 0.4086, top5_acc: 0.6006, mean_class_accuracy: 0.4083 2025-05-06 13:15:32,687 - pyskl - INFO - Epoch [287][100/523] lr: 2.610e-04, eta: 0:55:21, time: 0.689, data_time: 0.258, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1015, loss: 2.1015 2025-05-06 13:16:14,966 - pyskl - INFO - Epoch [287][200/523] lr: 2.538e-04, eta: 0:54:35, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2080, loss: 2.2080 2025-05-06 13:16:57,533 - pyskl - INFO - Epoch [287][300/523] lr: 2.468e-04, eta: 0:53:49, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2375, loss: 2.2375 2025-05-06 13:17:40,357 - pyskl - INFO - Epoch [287][400/523] lr: 2.398e-04, eta: 0:53:03, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1914, loss: 2.1914 2025-05-06 13:18:23,763 - pyskl - INFO - Epoch [287][500/523] lr: 2.329e-04, eta: 0:52:16, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1350, loss: 2.1350 2025-05-06 13:18:34,517 - pyskl - INFO - Saving checkpoint at 287 epochs 2025-05-06 13:19:02,834 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:19:02,903 - pyskl - INFO - top1_acc 0.4073 top5_acc 0.5993 2025-05-06 13:19:02,903 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:19:02,911 - pyskl - INFO - mean_acc 0.4068 2025-05-06 13:19:02,912 - pyskl - INFO - Epoch(val) [287][198] top1_acc: 0.4073, top5_acc: 0.5993, mean_class_accuracy: 0.4068 2025-05-06 13:20:11,769 - pyskl - INFO - Epoch [288][100/523] lr: 2.246e-04, eta: 0:51:20, time: 0.689, data_time: 0.260, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1251, loss: 2.1251 2025-05-06 13:20:53,885 - pyskl - INFO - Epoch [288][200/523] lr: 2.180e-04, eta: 0:50:34, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2022, loss: 2.2022 2025-05-06 13:21:36,723 - pyskl - INFO - Epoch [288][300/523] lr: 2.114e-04, eta: 0:49:48, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1855, loss: 2.1855 2025-05-06 13:22:20,047 - pyskl - INFO - Epoch [288][400/523] lr: 2.050e-04, eta: 0:49:02, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1676, loss: 2.1676 2025-05-06 13:23:01,730 - pyskl - INFO - Epoch [288][500/523] lr: 1.986e-04, eta: 0:48:16, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1868, loss: 2.1868 2025-05-06 13:23:11,933 - pyskl - INFO - Saving checkpoint at 288 epochs 2025-05-06 13:23:40,266 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:23:40,334 - pyskl - INFO - top1_acc 0.4064 top5_acc 0.6011 2025-05-06 13:23:40,334 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:23:40,341 - pyskl - INFO - mean_acc 0.4060 2025-05-06 13:23:40,343 - pyskl - INFO - Epoch(val) [288][198] top1_acc: 0.4064, top5_acc: 0.6011, mean_class_accuracy: 0.4060 2025-05-06 13:24:48,613 - pyskl - INFO - Epoch [289][100/523] lr: 1.910e-04, eta: 0:47:20, time: 0.683, data_time: 0.255, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1385, loss: 2.1385 2025-05-06 13:25:30,428 - pyskl - INFO - Epoch [289][200/523] lr: 1.848e-04, eta: 0:46:34, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.1232, loss: 2.1232 2025-05-06 13:26:13,081 - pyskl - INFO - Epoch [289][300/523] lr: 1.788e-04, eta: 0:45:48, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1685, loss: 2.1685 2025-05-06 13:26:56,367 - pyskl - INFO - Epoch [289][400/523] lr: 1.729e-04, eta: 0:45:01, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1931, loss: 2.1931 2025-05-06 13:27:39,497 - pyskl - INFO - Epoch [289][500/523] lr: 1.671e-04, eta: 0:44:15, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2400, loss: 2.2400 2025-05-06 13:27:50,190 - pyskl - INFO - Saving checkpoint at 289 epochs 2025-05-06 13:28:18,356 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:28:18,430 - pyskl - INFO - top1_acc 0.4102 top5_acc 0.6004 2025-05-06 13:28:18,430 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:28:18,438 - pyskl - INFO - mean_acc 0.4096 2025-05-06 13:28:18,497 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_268.pth was removed 2025-05-06 13:28:20,054 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_289.pth. 2025-05-06 13:28:20,056 - pyskl - INFO - Best top1_acc is 0.4102 at 289 epoch. 2025-05-06 13:28:20,058 - pyskl - INFO - Epoch(val) [289][198] top1_acc: 0.4102, top5_acc: 0.6004, mean_class_accuracy: 0.4096 2025-05-06 13:29:29,976 - pyskl - INFO - Epoch [290][100/523] lr: 1.600e-04, eta: 0:43:19, time: 0.699, data_time: 0.258, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2308, loss: 2.2308 2025-05-06 13:30:12,583 - pyskl - INFO - Epoch [290][200/523] lr: 1.544e-04, eta: 0:42:33, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1796, loss: 2.1796 2025-05-06 13:30:54,668 - pyskl - INFO - Epoch [290][300/523] lr: 1.489e-04, eta: 0:41:47, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1851, loss: 2.1851 2025-05-06 13:31:37,306 - pyskl - INFO - Epoch [290][400/523] lr: 1.435e-04, eta: 0:41:01, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0864, loss: 2.0864 2025-05-06 13:32:20,316 - pyskl - INFO - Epoch [290][500/523] lr: 1.382e-04, eta: 0:40:15, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2590, loss: 2.2590 2025-05-06 13:32:30,988 - pyskl - INFO - Saving checkpoint at 290 epochs 2025-05-06 13:32:59,306 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:32:59,375 - pyskl - INFO - top1_acc 0.4083 top5_acc 0.6004 2025-05-06 13:32:59,375 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:32:59,382 - pyskl - INFO - mean_acc 0.4080 2025-05-06 13:32:59,384 - pyskl - INFO - Epoch(val) [290][198] top1_acc: 0.4083, top5_acc: 0.6004, mean_class_accuracy: 0.4080 2025-05-06 13:34:09,907 - pyskl - INFO - Epoch [291][100/523] lr: 1.318e-04, eta: 0:39:19, time: 0.705, data_time: 0.257, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1600, loss: 2.1600 2025-05-06 13:34:52,055 - pyskl - INFO - Epoch [291][200/523] lr: 1.267e-04, eta: 0:38:33, time: 0.421, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.1723, loss: 2.1723 2025-05-06 13:35:33,784 - pyskl - INFO - Epoch [291][300/523] lr: 1.218e-04, eta: 0:37:47, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1701, loss: 2.1701 2025-05-06 13:36:16,972 - pyskl - INFO - Epoch [291][400/523] lr: 1.169e-04, eta: 0:37:00, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1578, loss: 2.1578 2025-05-06 13:37:00,813 - pyskl - INFO - Epoch [291][500/523] lr: 1.121e-04, eta: 0:36:14, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1466, loss: 2.1466 2025-05-06 13:37:11,475 - pyskl - INFO - Saving checkpoint at 291 epochs 2025-05-06 13:37:39,628 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:37:39,697 - pyskl - INFO - top1_acc 0.4078 top5_acc 0.6004 2025-05-06 13:37:39,697 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:37:39,705 - pyskl - INFO - mean_acc 0.4071 2025-05-06 13:37:39,706 - pyskl - INFO - Epoch(val) [291][198] top1_acc: 0.4078, top5_acc: 0.6004, mean_class_accuracy: 0.4071 2025-05-06 13:38:48,977 - pyskl - INFO - Epoch [292][100/523] lr: 1.063e-04, eta: 0:35:18, time: 0.693, data_time: 0.258, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1522, loss: 2.1522 2025-05-06 13:39:31,544 - pyskl - INFO - Epoch [292][200/523] lr: 1.018e-04, eta: 0:34:32, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0845, loss: 2.0845 2025-05-06 13:40:14,161 - pyskl - INFO - Epoch [292][300/523] lr: 9.731e-05, eta: 0:33:46, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1537, loss: 2.1537 2025-05-06 13:40:56,872 - pyskl - INFO - Epoch [292][400/523] lr: 9.295e-05, eta: 0:33:00, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1243, loss: 2.1243 2025-05-06 13:41:40,069 - pyskl - INFO - Epoch [292][500/523] lr: 8.869e-05, eta: 0:32:14, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2594, loss: 2.2594 2025-05-06 13:41:55,274 - pyskl - INFO - Saving checkpoint at 292 epochs 2025-05-06 13:42:24,093 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:42:24,169 - pyskl - INFO - top1_acc 0.4061 top5_acc 0.5984 2025-05-06 13:42:24,170 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:42:24,178 - pyskl - INFO - mean_acc 0.4052 2025-05-06 13:42:24,179 - pyskl - INFO - Epoch(val) [292][198] top1_acc: 0.4061, top5_acc: 0.5984, mean_class_accuracy: 0.4052 2025-05-06 13:43:33,633 - pyskl - INFO - Epoch [293][100/523] lr: 8.358e-05, eta: 0:31:18, time: 0.694, data_time: 0.260, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1534, loss: 2.1534 2025-05-06 13:44:15,915 - pyskl - INFO - Epoch [293][200/523] lr: 7.954e-05, eta: 0:30:32, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1292, loss: 2.1292 2025-05-06 13:44:58,477 - pyskl - INFO - Epoch [293][300/523] lr: 7.560e-05, eta: 0:29:46, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1899, loss: 2.1899 2025-05-06 13:45:55,323 - pyskl - INFO - Epoch [293][400/523] lr: 7.176e-05, eta: 0:29:00, time: 0.568, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1647, loss: 2.1647 2025-05-06 13:46:58,678 - pyskl - INFO - Epoch [293][500/523] lr: 6.802e-05, eta: 0:28:14, time: 0.634, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2051, loss: 2.2051 2025-05-06 13:47:13,357 - pyskl - INFO - Saving checkpoint at 293 epochs 2025-05-06 13:47:45,283 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:47:45,369 - pyskl - INFO - top1_acc 0.4065 top5_acc 0.6012 2025-05-06 13:47:45,369 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:47:45,379 - pyskl - INFO - mean_acc 0.4051 2025-05-06 13:47:45,381 - pyskl - INFO - Epoch(val) [293][198] top1_acc: 0.4065, top5_acc: 0.6012, mean_class_accuracy: 0.4051 2025-05-06 13:49:15,289 - pyskl - INFO - Epoch [294][100/523] lr: 6.356e-05, eta: 0:27:18, time: 0.899, data_time: 0.271, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2644, loss: 2.2644 2025-05-06 13:50:18,370 - pyskl - INFO - Epoch [294][200/523] lr: 6.004e-05, eta: 0:26:33, time: 0.631, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1526, loss: 2.1526 2025-05-06 13:51:21,283 - pyskl - INFO - Epoch [294][300/523] lr: 5.662e-05, eta: 0:25:47, time: 0.629, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0359, loss: 2.0359 2025-05-06 13:52:24,266 - pyskl - INFO - Epoch [294][400/523] lr: 5.331e-05, eta: 0:25:01, time: 0.630, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1772, loss: 2.1772 2025-05-06 13:53:27,167 - pyskl - INFO - Epoch [294][500/523] lr: 5.009e-05, eta: 0:24:16, time: 0.629, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1752, loss: 2.1752 2025-05-06 13:53:42,356 - pyskl - INFO - Saving checkpoint at 294 epochs 2025-05-06 13:54:15,523 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 13:54:15,600 - pyskl - INFO - top1_acc 0.4062 top5_acc 0.6004 2025-05-06 13:54:15,600 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 13:54:15,609 - pyskl - INFO - mean_acc 0.4055 2025-05-06 13:54:15,611 - pyskl - INFO - Epoch(val) [294][198] top1_acc: 0.4062, top5_acc: 0.6004, mean_class_accuracy: 0.4055 2025-05-06 13:55:45,258 - pyskl - INFO - Epoch [295][100/523] lr: 4.627e-05, eta: 0:23:20, time: 0.896, data_time: 0.273, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1131, loss: 2.1131 2025-05-06 13:56:48,042 - pyskl - INFO - Epoch [295][200/523] lr: 4.328e-05, eta: 0:22:34, time: 0.628, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1601, loss: 2.1601 2025-05-06 13:57:50,616 - pyskl - INFO - Epoch [295][300/523] lr: 4.038e-05, eta: 0:21:48, time: 0.626, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1315, loss: 2.1315 2025-05-06 13:58:53,251 - pyskl - INFO - Epoch [295][400/523] lr: 3.759e-05, eta: 0:21:02, time: 0.626, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2138, loss: 2.2138 2025-05-06 13:59:56,083 - pyskl - INFO - Epoch [295][500/523] lr: 3.489e-05, eta: 0:20:17, time: 0.628, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1232, loss: 2.1232 2025-05-06 14:00:11,140 - pyskl - INFO - Saving checkpoint at 295 epochs 2025-05-06 14:00:43,474 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 14:00:43,545 - pyskl - INFO - top1_acc 0.4086 top5_acc 0.5987 2025-05-06 14:00:43,546 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 14:00:43,553 - pyskl - INFO - mean_acc 0.4077 2025-05-06 14:00:43,555 - pyskl - INFO - Epoch(val) [295][198] top1_acc: 0.4086, top5_acc: 0.5987, mean_class_accuracy: 0.4077 2025-05-06 14:02:13,685 - pyskl - INFO - Epoch [296][100/523] lr: 3.172e-05, eta: 0:19:20, time: 0.901, data_time: 0.269, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2245, loss: 2.2245 2025-05-06 14:03:16,749 - pyskl - INFO - Epoch [296][200/523] lr: 2.925e-05, eta: 0:18:34, time: 0.631, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1270, loss: 2.1270 2025-05-06 14:04:20,330 - pyskl - INFO - Epoch [296][300/523] lr: 2.688e-05, eta: 0:17:49, time: 0.636, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1587, loss: 2.1587 2025-05-06 14:05:23,663 - pyskl - INFO - Epoch [296][400/523] lr: 2.461e-05, eta: 0:17:03, time: 0.633, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1035, loss: 2.1035 2025-05-06 14:06:26,478 - pyskl - INFO - Epoch [296][500/523] lr: 2.244e-05, eta: 0:16:17, time: 0.628, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1859, loss: 2.1859 2025-05-06 14:06:41,899 - pyskl - INFO - Saving checkpoint at 296 epochs 2025-05-06 14:07:13,988 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 14:07:14,061 - pyskl - INFO - top1_acc 0.4061 top5_acc 0.6001 2025-05-06 14:07:14,062 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 14:07:14,072 - pyskl - INFO - mean_acc 0.4046 2025-05-06 14:07:14,074 - pyskl - INFO - Epoch(val) [296][198] top1_acc: 0.4061, top5_acc: 0.6001, mean_class_accuracy: 0.4046 2025-05-06 14:08:44,895 - pyskl - INFO - Epoch [297][100/523] lr: 1.990e-05, eta: 0:15:20, time: 0.908, data_time: 0.277, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2194, loss: 2.2194 2025-05-06 14:09:48,436 - pyskl - INFO - Epoch [297][200/523] lr: 1.796e-05, eta: 0:14:34, time: 0.635, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1723, loss: 2.1723 2025-05-06 14:10:51,467 - pyskl - INFO - Epoch [297][300/523] lr: 1.611e-05, eta: 0:13:48, time: 0.630, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1871, loss: 2.1871 2025-05-06 14:11:54,649 - pyskl - INFO - Epoch [297][400/523] lr: 1.436e-05, eta: 0:13:02, time: 0.632, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1411, loss: 2.1411 2025-05-06 14:12:57,517 - pyskl - INFO - Epoch [297][500/523] lr: 1.272e-05, eta: 0:12:16, time: 0.629, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2147, loss: 2.2147 2025-05-06 14:13:12,391 - pyskl - INFO - Saving checkpoint at 297 epochs 2025-05-06 14:13:44,714 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 14:13:44,783 - pyskl - INFO - top1_acc 0.4075 top5_acc 0.6000 2025-05-06 14:13:44,783 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 14:13:44,791 - pyskl - INFO - mean_acc 0.4062 2025-05-06 14:13:44,793 - pyskl - INFO - Epoch(val) [297][198] top1_acc: 0.4075, top5_acc: 0.6000, mean_class_accuracy: 0.4062 2025-05-06 14:15:15,350 - pyskl - INFO - Epoch [298][100/523] lr: 1.083e-05, eta: 0:11:19, time: 0.905, data_time: 0.273, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1564, loss: 2.1564 2025-05-06 14:16:18,637 - pyskl - INFO - Epoch [298][200/523] lr: 9.405e-06, eta: 0:10:33, time: 0.633, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1168, loss: 2.1168 2025-05-06 14:17:21,508 - pyskl - INFO - Epoch [298][300/523] lr: 8.083e-06, eta: 0:09:47, time: 0.629, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1372, loss: 2.1372 2025-05-06 14:18:24,900 - pyskl - INFO - Epoch [298][400/523] lr: 6.860e-06, eta: 0:09:01, time: 0.634, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1054, loss: 2.1054 2025-05-06 14:19:28,241 - pyskl - INFO - Epoch [298][500/523] lr: 5.737e-06, eta: 0:08:15, time: 0.633, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2061, loss: 2.2061 2025-05-06 14:19:43,219 - pyskl - INFO - Saving checkpoint at 298 epochs 2025-05-06 14:20:15,416 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 14:20:15,498 - pyskl - INFO - top1_acc 0.4091 top5_acc 0.5998 2025-05-06 14:20:15,499 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 14:20:15,506 - pyskl - INFO - mean_acc 0.4083 2025-05-06 14:20:15,508 - pyskl - INFO - Epoch(val) [298][198] top1_acc: 0.4091, top5_acc: 0.5998, mean_class_accuracy: 0.4083 2025-05-06 14:21:46,434 - pyskl - INFO - Epoch [299][100/523] lr: 4.494e-06, eta: 0:07:18, time: 0.909, data_time: 0.280, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1186, loss: 2.1186 2025-05-06 14:22:49,517 - pyskl - INFO - Epoch [299][200/523] lr: 3.595e-06, eta: 0:06:32, time: 0.631, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.0985, loss: 2.0985 2025-05-06 14:23:33,835 - pyskl - INFO - Epoch [299][300/523] lr: 2.796e-06, eta: 0:05:45, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2169, loss: 2.2169 2025-05-06 14:24:17,247 - pyskl - INFO - Epoch [299][400/523] lr: 2.098e-06, eta: 0:04:59, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1786, loss: 2.1786 2025-05-06 14:25:00,273 - pyskl - INFO - Epoch [299][500/523] lr: 1.499e-06, eta: 0:04:13, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1298, loss: 2.1298 2025-05-06 14:25:10,945 - pyskl - INFO - Saving checkpoint at 299 epochs 2025-05-06 14:25:38,959 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 14:25:39,025 - pyskl - INFO - top1_acc 0.4081 top5_acc 0.5990 2025-05-06 14:25:39,026 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 14:25:39,032 - pyskl - INFO - mean_acc 0.4074 2025-05-06 14:25:39,034 - pyskl - INFO - Epoch(val) [299][198] top1_acc: 0.4081, top5_acc: 0.5990, mean_class_accuracy: 0.4074 2025-05-06 14:26:46,162 - pyskl - INFO - Epoch [300][100/523] lr: 9.009e-07, eta: 0:03:16, time: 0.671, data_time: 0.254, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0850, loss: 2.0850 2025-05-06 14:27:29,835 - pyskl - INFO - Epoch [300][200/523] lr: 5.261e-07, eta: 0:02:29, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1609, loss: 2.1609 2025-05-06 14:28:13,579 - pyskl - INFO - Epoch [300][300/523] lr: 2.515e-07, eta: 0:01:43, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1788, loss: 2.1788 2025-05-06 14:28:56,695 - pyskl - INFO - Epoch [300][400/523] lr: 7.706e-08, eta: 0:00:57, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0757, loss: 2.0757 2025-05-06 14:29:39,956 - pyskl - INFO - Epoch [300][500/523] lr: 2.887e-09, eta: 0:00:10, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1299, loss: 2.1299 2025-05-06 14:29:50,739 - pyskl - INFO - Saving checkpoint at 300 epochs 2025-05-06 14:30:20,216 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-06 14:30:20,286 - pyskl - INFO - top1_acc 0.4110 top5_acc 0.6030 2025-05-06 14:30:20,286 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-06 14:30:20,295 - pyskl - INFO - mean_acc 0.4101 2025-05-06 14:30:20,356 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/bm/best_top1_acc_epoch_289.pth was removed 2025-05-06 14:30:22,071 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_300.pth. 2025-05-06 14:30:22,073 - pyskl - INFO - Best top1_acc is 0.4110 at 300 epoch. 2025-05-06 14:30:22,076 - pyskl - INFO - Epoch(val) [300][198] top1_acc: 0.4110, top5_acc: 0.6030, mean_class_accuracy: 0.4101 2025-05-06 14:30:32,088 - pyskl - INFO - 6307 videos remain after valid thresholding 2025-05-06 14:32:19,322 - pyskl - INFO - Testing results of the last checkpoint 2025-05-06 14:32:19,322 - pyskl - INFO - top1_acc: 0.4229 2025-05-06 14:32:19,323 - pyskl - INFO - top5_acc: 0.6206 2025-05-06 14:32:19,323 - pyskl - INFO - mean_class_accuracy: 0.4228 2025-05-06 14:32:19,323 - pyskl - INFO - load checkpoint from local path: ./work_dirs/uav_csv1/bm/best_top1_acc_epoch_300.pth 2025-05-06 14:34:06,109 - pyskl - INFO - Testing results of the best checkpoint 2025-05-06 14:34:06,109 - pyskl - INFO - top1_acc: 0.4229 2025-05-06 14:34:06,109 - pyskl - INFO - top5_acc: 0.6206 2025-05-06 14:34:06,109 - pyskl - INFO - mean_class_accuracy: 0.4228