diff --git "a/uav_csv1/b_2/20250602_123942.log" "b/uav_csv1/b_2/20250602_123942.log" new file mode 100644--- /dev/null +++ "b/uav_csv1/b_2/20250602_123942.log" @@ -0,0 +1,4550 @@ +2025-06-02 12:39:42,923 - 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+ +------------------------------------------------------------ + +2025-06-02 12:39:43,217 - pyskl - INFO - Config: modality = 'b' +graph = 'uav' +work_dir = './work_dirs/uav_csv1/b_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module_LLM', + llm_model='gpt4o', + llm_modality='b', + num_classes=155, + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='uav', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict( + type='SimpleHead', + joint_cfg='uav', + num_classes=155, + in_channels=384, + work_dir='./work_dirs/uav_csv1/b_2', + interval_epoch=50, + weight_1=0.3, + weight_2=0.2)) +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=['b']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='UniformSampleFrames', clip_len=100, num_clips=1), + dict(type='PoseDecode'), + dict(type='GenSkeFeat', dataset='uav', feats=['b']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='UniformSampleFrames', clip_len=100, num_clips=10), + dict(type='PoseDecode'), + dict(type='GenSkeFeat', dataset='uav', feats=['b']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv1.pkl', + pipeline=[ + dict(type='UniformSampleFrames', clip_len=100), + dict(type='PoseDecode'), + dict(type='GenSkeFeat', dataset='uav', feats=['b']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv1.pkl', + pipeline=[ + dict(type='UniformSampleFrames', clip_len=100, num_clips=1), + dict(type='PoseDecode'), + dict(type='GenSkeFeat', dataset='uav', feats=['b']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv1.pkl', + pipeline=[ + dict(type='UniformSampleFrames', clip_len=100, num_clips=10), + dict(type='PoseDecode'), + dict(type='GenSkeFeat', dataset='uav', feats=['b']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='val')) +optimizer = dict( + type='SGD', lr=0.05, 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) + +2025-06-02 12:39:45,938 - pyskl - INFO - Set random seed to 603054745, deterministic: False +2025-06-02 12:39:55,698 - pyskl - INFO - 16724 videos remain after valid thresholding +2025-06-02 12:40:02,687 - pyskl - INFO - 6307 videos remain after valid thresholding +2025-06-02 12:40:02,739 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/uav_csv1/b_2 +2025-06-02 12:40:02,739 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-06-02 12:40:02,739 - pyskl - INFO - workflow: [('train', 1)], max: 300 epochs +2025-06-02 12:40:02,739 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/uav_csv1/b_2 by HardDiskBackend. +2025-06-02 12:41:12,660 - pyskl - INFO - Epoch [1][100/523] lr: 5.000e-02, eta: 1 day, 6:27:07, time: 0.699, data_time: 0.255, memory: 7954, top1_acc: 0.0081, top5_acc: 0.0381, loss_cls: 13.1101, loss: 13.1101 +2025-06-02 12:41:57,431 - pyskl - INFO - Epoch [1][200/523] lr: 5.000e-02, eta: 1 day, 0:57:36, time: 0.448, data_time: 0.000, memory: 7954, top1_acc: 0.0163, top5_acc: 0.0669, loss_cls: 11.8233, loss: 11.8233 +2025-06-02 12:42:41,708 - pyskl - INFO - Epoch [1][300/523] lr: 5.000e-02, eta: 23:02:58, time: 0.443, data_time: 0.000, memory: 7954, top1_acc: 0.0172, top5_acc: 0.0872, loss_cls: 11.5082, loss: 11.5082 +2025-06-02 12:43:25,788 - pyskl - INFO - Epoch [1][400/523] lr: 5.000e-02, eta: 22:03:59, time: 0.441, data_time: 0.000, memory: 7954, top1_acc: 0.0262, top5_acc: 0.1109, loss_cls: 11.2807, loss: 11.2807 +2025-06-02 12:44:10,086 - pyskl - INFO - Epoch [1][500/523] lr: 5.000e-02, eta: 21:29:27, time: 0.443, data_time: 0.000, memory: 7954, top1_acc: 0.0300, top5_acc: 0.1288, loss_cls: 11.0956, loss: 11.0956 +2025-06-02 12:44:20,519 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-06-02 12:44:48,845 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 12:44:48,914 - pyskl - INFO - +top1_acc 0.0293 +top5_acc 0.1127 +2025-06-02 12:44:48,915 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 12:44:48,923 - pyskl - INFO - +mean_acc 0.0307 +2025-06-02 12:44:50,459 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-06-02 12:44:50,461 - pyskl - INFO - Best top1_acc is 0.0293 at 1 epoch. +2025-06-02 12:44:50,464 - pyskl - INFO - Epoch(val) [1][198] top1_acc: 0.0293, top5_acc: 0.1127, mean_class_accuracy: 0.0307 +2025-06-02 12:46:00,319 - pyskl - INFO - Epoch [2][100/523] lr: 5.000e-02, eta: 22:06:05, time: 0.698, data_time: 0.258, memory: 7954, top1_acc: 0.0372, top5_acc: 0.1441, loss_cls: 11.0022, loss: 11.0022 +2025-06-02 12:46:43,938 - pyskl - INFO - Epoch [2][200/523] lr: 5.000e-02, eta: 21:38:58, time: 0.436, data_time: 0.000, memory: 7954, top1_acc: 0.0428, top5_acc: 0.1525, loss_cls: 10.8458, loss: 10.8458 +2025-06-02 12:47:27,824 - pyskl - INFO - Epoch [2][300/523] lr: 5.000e-02, eta: 21:19:07, time: 0.439, data_time: 0.000, memory: 7954, top1_acc: 0.0394, top5_acc: 0.1625, loss_cls: 10.7959, loss: 10.7959 +2025-06-02 12:48:12,159 - pyskl - INFO - Epoch [2][400/523] lr: 5.000e-02, eta: 21:04:40, time: 0.443, data_time: 0.000, memory: 7954, top1_acc: 0.0453, top5_acc: 0.1884, loss_cls: 10.6755, loss: 10.6755 +2025-06-02 12:48:56,166 - pyskl - INFO - Epoch [2][500/523] lr: 4.999e-02, eta: 20:52:04, time: 0.440, data_time: 0.000, memory: 7954, top1_acc: 0.0416, top5_acc: 0.1778, loss_cls: 10.6109, loss: 10.6109 +2025-06-02 12:49:06,814 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-06-02 12:49:35,257 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 12:49:35,346 - pyskl - INFO - +top1_acc 0.0342 +top5_acc 0.1459 +2025-06-02 12:49:35,346 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 12:49:35,354 - pyskl - INFO - +mean_acc 0.0359 +2025-06-02 12:49:35,409 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_1.pth was removed +2025-06-02 12:49:36,945 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-06-02 12:49:36,947 - pyskl - INFO - Best top1_acc is 0.0342 at 2 epoch. +2025-06-02 12:49:36,949 - pyskl - INFO - Epoch(val) [2][198] top1_acc: 0.0342, top5_acc: 0.1459, mean_class_accuracy: 0.0359 +2025-06-02 12:50:46,669 - pyskl - INFO - Epoch [3][100/523] lr: 4.999e-02, eta: 21:14:43, time: 0.697, data_time: 0.252, memory: 7957, top1_acc: 0.0594, top5_acc: 0.2125, loss_cls: 10.4257, loss: 10.4257 +2025-06-02 12:51:30,552 - pyskl - INFO - Epoch [3][200/523] lr: 4.999e-02, eta: 21:03:01, time: 0.439, data_time: 0.000, memory: 7957, top1_acc: 0.0544, top5_acc: 0.2303, loss_cls: 10.3784, loss: 10.3784 +2025-06-02 12:52:14,220 - pyskl - INFO - Epoch [3][300/523] lr: 4.999e-02, eta: 20:52:32, time: 0.437, data_time: 0.000, memory: 7957, top1_acc: 0.0609, top5_acc: 0.2462, loss_cls: 10.2635, loss: 10.2635 +2025-06-02 12:52:57,783 - pyskl - INFO - Epoch [3][400/523] lr: 4.999e-02, eta: 20:43:13, time: 0.436, data_time: 0.000, memory: 7957, top1_acc: 0.0703, top5_acc: 0.2762, loss_cls: 10.0765, loss: 10.0765 +2025-06-02 12:53:41,043 - pyskl - INFO - Epoch [3][500/523] lr: 4.999e-02, eta: 20:34:30, time: 0.433, data_time: 0.000, memory: 7957, top1_acc: 0.0775, top5_acc: 0.3038, loss_cls: 9.9724, loss: 9.9724 +2025-06-02 12:53:51,538 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-06-02 12:54:20,372 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 12:54:20,444 - pyskl - INFO - +top1_acc 0.0617 +top5_acc 0.2454 +2025-06-02 12:54:20,445 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 12:54:20,453 - pyskl - INFO - +mean_acc 0.0629 +2025-06-02 12:54:20,510 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_2.pth was removed +2025-06-02 12:54:22,050 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-06-02 12:54:22,052 - pyskl - INFO - Best top1_acc is 0.0617 at 3 epoch. +2025-06-02 12:54:22,055 - pyskl - INFO - Epoch(val) [3][198] top1_acc: 0.0617, top5_acc: 0.2454, mean_class_accuracy: 0.0629 +2025-06-02 12:55:30,092 - pyskl - INFO - Epoch [4][100/523] lr: 4.999e-02, eta: 20:48:05, time: 0.680, data_time: 0.256, memory: 7957, top1_acc: 0.0972, top5_acc: 0.3422, loss_cls: 9.7441, loss: 9.7441 +2025-06-02 12:56:12,816 - pyskl - INFO - Epoch [4][200/523] lr: 4.998e-02, eta: 20:39:13, time: 0.427, data_time: 0.000, memory: 7957, top1_acc: 0.1116, top5_acc: 0.3856, loss_cls: 9.6019, loss: 9.6019 +2025-06-02 12:56:56,939 - pyskl - INFO - Epoch [4][300/523] lr: 4.998e-02, eta: 20:33:09, time: 0.441, data_time: 0.000, memory: 7957, top1_acc: 0.1250, top5_acc: 0.3962, loss_cls: 9.5738, loss: 9.5738 +2025-06-02 12:57:41,351 - pyskl - INFO - Epoch [4][400/523] lr: 4.998e-02, eta: 20:28:00, time: 0.444, data_time: 0.000, memory: 7957, top1_acc: 0.1356, top5_acc: 0.4422, loss_cls: 9.3419, loss: 9.3419 +2025-06-02 12:58:25,614 - pyskl - INFO - Epoch [4][500/523] lr: 4.998e-02, eta: 20:23:06, time: 0.443, data_time: 0.000, memory: 7957, top1_acc: 0.1275, top5_acc: 0.4522, loss_cls: 9.2971, loss: 9.2971 +2025-06-02 12:58:36,603 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-06-02 12:59:05,062 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 12:59:05,133 - pyskl - INFO - +top1_acc 0.1029 +top5_acc 0.3282 +2025-06-02 12:59:05,133 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 12:59:05,141 - pyskl - INFO - +mean_acc 0.1047 +2025-06-02 12:59:05,199 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_3.pth was removed +2025-06-02 12:59:06,752 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-06-02 12:59:06,753 - pyskl - INFO - Best top1_acc is 0.1029 at 4 epoch. +2025-06-02 12:59:06,756 - pyskl - INFO - Epoch(val) [4][198] top1_acc: 0.1029, top5_acc: 0.3282, mean_class_accuracy: 0.1047 +2025-06-02 13:00:14,687 - pyskl - INFO - Epoch [5][100/523] lr: 4.998e-02, eta: 20:33:27, time: 0.679, data_time: 0.254, memory: 7957, top1_acc: 0.1506, top5_acc: 0.4884, loss_cls: 9.1553, loss: 9.1553 +2025-06-02 13:00:59,170 - pyskl - INFO - Epoch [5][200/523] lr: 4.997e-02, eta: 20:28:53, time: 0.445, data_time: 0.000, memory: 7957, top1_acc: 0.1766, top5_acc: 0.5094, loss_cls: 9.0132, loss: 9.0132 +2025-06-02 13:01:43,353 - pyskl - INFO - Epoch [5][300/523] lr: 4.997e-02, eta: 20:24:19, time: 0.442, data_time: 0.000, memory: 7957, top1_acc: 0.1766, top5_acc: 0.5353, loss_cls: 8.9174, loss: 8.9174 +2025-06-02 13:02:27,833 - pyskl - INFO - Epoch [5][400/523] lr: 4.997e-02, eta: 20:20:21, time: 0.445, data_time: 0.000, memory: 7957, top1_acc: 0.1941, top5_acc: 0.5434, loss_cls: 8.9237, loss: 8.9237 +2025-06-02 13:03:10,953 - pyskl - INFO - Epoch [5][500/523] lr: 4.997e-02, eta: 20:15:18, time: 0.431, data_time: 0.000, memory: 7957, top1_acc: 0.1953, top5_acc: 0.5637, loss_cls: 8.8522, loss: 8.8522 +2025-06-02 13:03:21,543 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-06-02 13:03:49,889 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:03:49,965 - pyskl - INFO - +top1_acc 0.1246 +top5_acc 0.3820 +2025-06-02 13:03:49,965 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:03:49,975 - pyskl - INFO - +mean_acc 0.1267 +2025-06-02 13:03:50,036 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_4.pth was removed +2025-06-02 13:03:51,668 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-06-02 13:03:51,670 - pyskl - INFO - Best top1_acc is 0.1246 at 5 epoch. +2025-06-02 13:03:51,674 - pyskl - INFO - Epoch(val) [5][198] top1_acc: 0.1246, top5_acc: 0.3820, mean_class_accuracy: 0.1267 +2025-06-02 13:05:00,977 - pyskl - INFO - Epoch [6][100/523] lr: 4.996e-02, eta: 20:24:54, time: 0.693, data_time: 0.261, memory: 7957, top1_acc: 0.2250, top5_acc: 0.5806, loss_cls: 8.6775, loss: 8.6775 +2025-06-02 13:05:44,810 - pyskl - INFO - Epoch [6][200/523] lr: 4.996e-02, eta: 20:20:37, time: 0.438, data_time: 0.000, memory: 7957, top1_acc: 0.2294, top5_acc: 0.6012, loss_cls: 8.5959, loss: 8.5959 +2025-06-02 13:06:28,856 - pyskl - INFO - Epoch [6][300/523] lr: 4.996e-02, eta: 20:16:45, time: 0.440, data_time: 0.000, memory: 7957, top1_acc: 0.2419, top5_acc: 0.6044, loss_cls: 8.5657, loss: 8.5657 +2025-06-02 13:07:12,997 - pyskl - INFO - Epoch [6][400/523] lr: 4.995e-02, eta: 20:13:11, time: 0.441, data_time: 0.000, memory: 7957, top1_acc: 0.2400, top5_acc: 0.6022, loss_cls: 8.5011, loss: 8.5011 +2025-06-02 13:07:56,033 - pyskl - INFO - Epoch [6][500/523] lr: 4.995e-02, eta: 20:08:53, time: 0.430, data_time: 0.000, memory: 7957, top1_acc: 0.2637, top5_acc: 0.6294, loss_cls: 8.4252, loss: 8.4252 +2025-06-02 13:08:06,764 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-06-02 13:08:34,841 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:08:34,913 - pyskl - INFO - +top1_acc 0.1582 +top5_acc 0.4187 +2025-06-02 13:08:34,914 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:08:34,922 - pyskl - INFO - +mean_acc 0.1573 +2025-06-02 13:08:34,979 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_5.pth was removed +2025-06-02 13:08:36,527 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-06-02 13:08:36,529 - pyskl - INFO - Best top1_acc is 0.1582 at 6 epoch. +2025-06-02 13:08:36,532 - pyskl - INFO - Epoch(val) [6][198] top1_acc: 0.1582, top5_acc: 0.4187, mean_class_accuracy: 0.1573 +2025-06-02 13:09:46,225 - pyskl - INFO - Epoch [7][100/523] lr: 4.995e-02, eta: 20:17:09, time: 0.697, data_time: 0.257, memory: 7960, top1_acc: 0.2731, top5_acc: 0.6578, loss_cls: 8.3130, loss: 8.3130 +2025-06-02 13:10:30,713 - pyskl - INFO - Epoch [7][200/523] lr: 4.994e-02, eta: 20:14:01, time: 0.445, data_time: 0.000, memory: 7960, top1_acc: 0.2747, top5_acc: 0.6366, loss_cls: 8.3550, loss: 8.3550 +2025-06-02 13:11:14,990 - pyskl - INFO - Epoch [7][300/523] lr: 4.994e-02, eta: 20:10:53, time: 0.443, data_time: 0.000, memory: 7960, top1_acc: 0.2950, top5_acc: 0.6759, loss_cls: 8.1891, loss: 8.1891 +2025-06-02 13:11:59,599 - pyskl - INFO - Epoch [7][400/523] lr: 4.994e-02, eta: 20:08:07, time: 0.446, data_time: 0.000, memory: 7960, top1_acc: 0.2875, top5_acc: 0.6616, loss_cls: 8.1818, loss: 8.1818 +2025-06-02 13:12:42,849 - pyskl - INFO - Epoch [7][500/523] lr: 4.993e-02, eta: 20:04:31, time: 0.433, data_time: 0.000, memory: 7960, top1_acc: 0.3103, top5_acc: 0.6650, loss_cls: 8.1423, loss: 8.1423 +2025-06-02 13:12:53,694 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-06-02 13:13:21,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:13:22,055 - pyskl - INFO - +top1_acc 0.1676 +top5_acc 0.4197 +2025-06-02 13:13:22,055 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:13:22,063 - pyskl - INFO - +mean_acc 0.1686 +2025-06-02 13:13:22,120 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_6.pth was removed +2025-06-02 13:13:23,698 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-06-02 13:13:23,699 - pyskl - INFO - Best top1_acc is 0.1676 at 7 epoch. +2025-06-02 13:13:23,702 - pyskl - INFO - Epoch(val) [7][198] top1_acc: 0.1676, top5_acc: 0.4197, mean_class_accuracy: 0.1686 +2025-06-02 13:14:31,602 - pyskl - INFO - Epoch [8][100/523] lr: 4.993e-02, eta: 20:10:16, time: 0.679, data_time: 0.252, memory: 7960, top1_acc: 0.3053, top5_acc: 0.6894, loss_cls: 8.0429, loss: 8.0429 +2025-06-02 13:15:15,212 - pyskl - INFO - Epoch [8][200/523] lr: 4.993e-02, eta: 20:06:57, time: 0.436, data_time: 0.000, memory: 7960, top1_acc: 0.3334, top5_acc: 0.7025, loss_cls: 7.9097, loss: 7.9097 +2025-06-02 13:15:59,323 - pyskl - INFO - Epoch [8][300/523] lr: 4.992e-02, eta: 20:04:06, time: 0.441, data_time: 0.000, memory: 7960, top1_acc: 0.3306, top5_acc: 0.7119, loss_cls: 7.8810, loss: 7.8810 +2025-06-02 13:16:43,744 - pyskl - INFO - Epoch [8][400/523] lr: 4.992e-02, eta: 20:01:32, time: 0.444, data_time: 0.000, memory: 7960, top1_acc: 0.3409, top5_acc: 0.7100, loss_cls: 7.9146, loss: 7.9146 +2025-06-02 13:17:27,827 - pyskl - INFO - Epoch [8][500/523] lr: 4.991e-02, eta: 19:58:52, time: 0.441, data_time: 0.000, memory: 7960, top1_acc: 0.3353, top5_acc: 0.7031, loss_cls: 7.9604, loss: 7.9604 +2025-06-02 13:17:38,633 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-06-02 13:18:06,953 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:18:07,021 - pyskl - INFO - +top1_acc 0.2136 +top5_acc 0.4879 +2025-06-02 13:18:07,022 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:18:07,029 - pyskl - INFO - +mean_acc 0.2116 +2025-06-02 13:18:07,086 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_7.pth was removed +2025-06-02 13:18:08,599 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-06-02 13:18:08,601 - pyskl - INFO - Best top1_acc is 0.2136 at 8 epoch. +2025-06-02 13:18:08,603 - pyskl - INFO - Epoch(val) [8][198] top1_acc: 0.2136, top5_acc: 0.4879, mean_class_accuracy: 0.2116 +2025-06-02 13:19:16,816 - pyskl - INFO - Epoch [9][100/523] lr: 4.991e-02, eta: 20:04:00, time: 0.682, data_time: 0.254, memory: 7963, top1_acc: 0.3706, top5_acc: 0.7241, loss_cls: 7.7149, loss: 7.7149 +2025-06-02 13:20:01,310 - pyskl - INFO - Epoch [9][200/523] lr: 4.990e-02, eta: 20:01:34, time: 0.445, data_time: 0.000, memory: 7963, top1_acc: 0.3609, top5_acc: 0.7181, loss_cls: 7.7670, loss: 7.7670 +2025-06-02 13:20:45,641 - pyskl - INFO - Epoch [9][300/523] lr: 4.990e-02, eta: 19:59:07, time: 0.443, data_time: 0.000, memory: 7963, top1_acc: 0.3513, top5_acc: 0.7350, loss_cls: 7.6907, loss: 7.6907 +2025-06-02 13:21:29,150 - pyskl - INFO - Epoch [9][400/523] lr: 4.989e-02, eta: 19:56:17, time: 0.435, data_time: 0.000, memory: 7963, top1_acc: 0.3569, top5_acc: 0.7275, loss_cls: 7.7300, loss: 7.7300 +2025-06-02 13:22:12,537 - pyskl - INFO - Epoch [9][500/523] lr: 4.989e-02, eta: 19:53:28, time: 0.434, data_time: 0.000, memory: 7963, top1_acc: 0.3659, top5_acc: 0.7341, loss_cls: 7.7004, loss: 7.7004 +2025-06-02 13:22:23,302 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-06-02 13:22:51,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:22:51,602 - pyskl - INFO - +top1_acc 0.1952 +top5_acc 0.4568 +2025-06-02 13:22:51,602 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:22:51,608 - pyskl - INFO - +mean_acc 0.1948 +2025-06-02 13:22:51,610 - pyskl - INFO - Epoch(val) [9][198] top1_acc: 0.1952, top5_acc: 0.4568, mean_class_accuracy: 0.1948 +2025-06-02 13:24:00,823 - pyskl - INFO - Epoch [10][100/523] lr: 4.988e-02, eta: 19:58:29, time: 0.692, data_time: 0.253, memory: 7963, top1_acc: 0.3894, top5_acc: 0.7559, loss_cls: 7.4845, loss: 7.4845 +2025-06-02 13:24:44,775 - pyskl - INFO - Epoch [10][200/523] lr: 4.988e-02, eta: 19:55:59, time: 0.439, data_time: 0.000, memory: 7963, top1_acc: 0.4053, top5_acc: 0.7625, loss_cls: 7.5327, loss: 7.5327 +2025-06-02 13:25:28,610 - pyskl - INFO - Epoch [10][300/523] lr: 4.987e-02, eta: 19:53:29, time: 0.438, data_time: 0.000, memory: 7963, top1_acc: 0.3866, top5_acc: 0.7534, loss_cls: 7.5030, loss: 7.5030 +2025-06-02 13:26:12,681 - pyskl - INFO - Epoch [10][400/523] lr: 4.987e-02, eta: 19:51:10, time: 0.441, data_time: 0.000, memory: 7963, top1_acc: 0.4019, top5_acc: 0.7588, loss_cls: 7.4835, loss: 7.4835 +2025-06-02 13:26:57,139 - pyskl - INFO - Epoch [10][500/523] lr: 4.986e-02, eta: 19:49:07, time: 0.445, data_time: 0.000, memory: 7963, top1_acc: 0.4003, top5_acc: 0.7503, loss_cls: 7.5626, loss: 7.5626 +2025-06-02 13:27:08,036 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-06-02 13:27:36,191 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:27:36,261 - pyskl - INFO - +top1_acc 0.2485 +top5_acc 0.5180 +2025-06-02 13:27:36,261 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:27:36,268 - pyskl - INFO - +mean_acc 0.2488 +2025-06-02 13:27:36,327 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_8.pth was removed +2025-06-02 13:27:37,856 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-06-02 13:27:37,857 - pyskl - INFO - Best top1_acc is 0.2485 at 10 epoch. +2025-06-02 13:27:37,860 - pyskl - INFO - Epoch(val) [10][198] top1_acc: 0.2485, top5_acc: 0.5180, mean_class_accuracy: 0.2488 +2025-06-02 13:28:47,559 - pyskl - INFO - Epoch [11][100/523] lr: 4.986e-02, eta: 19:53:46, time: 0.697, data_time: 0.255, memory: 7964, top1_acc: 0.4172, top5_acc: 0.7700, loss_cls: 7.3053, loss: 7.3053 +2025-06-02 13:29:31,523 - pyskl - INFO - Epoch [11][200/523] lr: 4.985e-02, eta: 19:51:27, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.4244, top5_acc: 0.7750, loss_cls: 7.3713, loss: 7.3713 +2025-06-02 13:30:15,440 - pyskl - INFO - Epoch [11][300/523] lr: 4.985e-02, eta: 19:49:10, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.4109, top5_acc: 0.7806, loss_cls: 7.2639, loss: 7.2639 +2025-06-02 13:30:59,616 - pyskl - INFO - Epoch [11][400/523] lr: 4.984e-02, eta: 19:47:03, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.4078, top5_acc: 0.7569, loss_cls: 7.3947, loss: 7.3947 +2025-06-02 13:31:43,719 - pyskl - INFO - Epoch [11][500/523] lr: 4.984e-02, eta: 19:44:57, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.4009, top5_acc: 0.7619, loss_cls: 7.3937, loss: 7.3937 +2025-06-02 13:31:54,458 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-06-02 13:32:22,300 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:32:22,370 - pyskl - INFO - +top1_acc 0.2607 +top5_acc 0.5239 +2025-06-02 13:32:22,370 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:32:22,377 - pyskl - INFO - +mean_acc 0.2595 +2025-06-02 13:32:22,434 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_10.pth was removed +2025-06-02 13:32:23,938 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-06-02 13:32:23,939 - pyskl - INFO - Best top1_acc is 0.2607 at 11 epoch. +2025-06-02 13:32:23,942 - pyskl - INFO - Epoch(val) [11][198] top1_acc: 0.2607, top5_acc: 0.5239, mean_class_accuracy: 0.2595 +2025-06-02 13:33:33,377 - pyskl - INFO - Epoch [12][100/523] lr: 4.983e-02, eta: 19:48:58, time: 0.694, data_time: 0.253, memory: 7964, top1_acc: 0.4353, top5_acc: 0.7803, loss_cls: 7.2426, loss: 7.2426 +2025-06-02 13:34:17,655 - pyskl - INFO - Epoch [12][200/523] lr: 4.982e-02, eta: 19:46:56, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.4425, top5_acc: 0.7950, loss_cls: 7.1801, loss: 7.1801 +2025-06-02 13:35:01,974 - pyskl - INFO - Epoch [12][300/523] lr: 4.982e-02, eta: 19:44:57, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.4472, top5_acc: 0.7894, loss_cls: 7.1611, loss: 7.1611 +2025-06-02 13:35:46,444 - pyskl - INFO - Epoch [12][400/523] lr: 4.981e-02, eta: 19:43:05, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.4497, top5_acc: 0.7894, loss_cls: 7.1766, loss: 7.1766 +2025-06-02 13:36:29,313 - pyskl - INFO - Epoch [12][500/523] lr: 4.980e-02, eta: 19:40:36, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.4203, top5_acc: 0.7834, loss_cls: 7.2094, loss: 7.2094 +2025-06-02 13:36:40,165 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-06-02 13:37:08,398 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:37:08,468 - pyskl - INFO - +top1_acc 0.2718 +top5_acc 0.5358 +2025-06-02 13:37:08,468 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:37:08,476 - pyskl - INFO - +mean_acc 0.2704 +2025-06-02 13:37:08,533 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_11.pth was removed +2025-06-02 13:37:10,071 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-06-02 13:37:10,073 - pyskl - INFO - Best top1_acc is 0.2718 at 12 epoch. +2025-06-02 13:37:10,076 - pyskl - INFO - Epoch(val) [12][198] top1_acc: 0.2718, top5_acc: 0.5358, mean_class_accuracy: 0.2704 +2025-06-02 13:38:18,555 - pyskl - INFO - Epoch [13][100/523] lr: 4.980e-02, eta: 19:43:50, time: 0.685, data_time: 0.256, memory: 7964, top1_acc: 0.4547, top5_acc: 0.8006, loss_cls: 7.0494, loss: 7.0494 +2025-06-02 13:39:00,564 - pyskl - INFO - Epoch [13][200/523] lr: 4.979e-02, eta: 19:41:02, time: 0.420, data_time: 0.000, memory: 7964, top1_acc: 0.4487, top5_acc: 0.7903, loss_cls: 6.9933, loss: 6.9933 +2025-06-02 13:39:44,800 - pyskl - INFO - Epoch [13][300/523] lr: 4.978e-02, eta: 19:39:09, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.4425, top5_acc: 0.7897, loss_cls: 7.1066, loss: 7.1066 +2025-06-02 13:40:29,227 - pyskl - INFO - Epoch [13][400/523] lr: 4.978e-02, eta: 19:37:23, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.4516, top5_acc: 0.8000, loss_cls: 7.0560, loss: 7.0560 +2025-06-02 13:41:12,360 - pyskl - INFO - Epoch [13][500/523] lr: 4.977e-02, eta: 19:35:10, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.4628, top5_acc: 0.7963, loss_cls: 6.9948, loss: 6.9948 +2025-06-02 13:41:23,147 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-06-02 13:41:51,354 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:41:51,426 - pyskl - INFO - +top1_acc 0.2421 +top5_acc 0.5061 +2025-06-02 13:41:51,426 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:41:51,434 - pyskl - INFO - +mean_acc 0.2425 +2025-06-02 13:41:51,436 - pyskl - INFO - Epoch(val) [13][198] top1_acc: 0.2421, top5_acc: 0.5061, mean_class_accuracy: 0.2425 +2025-06-02 13:43:01,462 - pyskl - INFO - Epoch [14][100/523] lr: 4.976e-02, eta: 19:38:38, time: 0.700, data_time: 0.256, memory: 7964, top1_acc: 0.4622, top5_acc: 0.8137, loss_cls: 6.9747, loss: 6.9747 +2025-06-02 13:43:45,747 - pyskl - INFO - Epoch [14][200/523] lr: 4.975e-02, eta: 19:36:50, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.4841, top5_acc: 0.8147, loss_cls: 6.9095, loss: 6.9095 +2025-06-02 13:44:30,155 - pyskl - INFO - Epoch [14][300/523] lr: 4.975e-02, eta: 19:35:05, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.4684, top5_acc: 0.8116, loss_cls: 6.9303, loss: 6.9303 +2025-06-02 13:45:14,559 - pyskl - INFO - Epoch [14][400/523] lr: 4.974e-02, eta: 19:33:23, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.4728, top5_acc: 0.8044, loss_cls: 6.9965, loss: 6.9965 +2025-06-02 13:45:58,427 - pyskl - INFO - Epoch [14][500/523] lr: 4.973e-02, eta: 19:31:31, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.4847, top5_acc: 0.8125, loss_cls: 6.9013, loss: 6.9013 +2025-06-02 13:46:09,250 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-06-02 13:46:37,474 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:46:37,546 - pyskl - INFO - +top1_acc 0.2859 +top5_acc 0.5378 +2025-06-02 13:46:37,546 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:46:37,556 - pyskl - INFO - +mean_acc 0.2830 +2025-06-02 13:46:37,618 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_12.pth was removed +2025-06-02 13:46:39,243 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. +2025-06-02 13:46:39,245 - pyskl - INFO - Best top1_acc is 0.2859 at 14 epoch. +2025-06-02 13:46:39,248 - pyskl - INFO - Epoch(val) [14][198] top1_acc: 0.2859, top5_acc: 0.5378, mean_class_accuracy: 0.2830 +2025-06-02 13:47:49,240 - pyskl - INFO - Epoch [15][100/523] lr: 4.972e-02, eta: 19:34:39, time: 0.700, data_time: 0.261, memory: 7964, top1_acc: 0.4841, top5_acc: 0.8144, loss_cls: 6.8519, loss: 6.8519 +2025-06-02 13:48:33,388 - pyskl - INFO - Epoch [15][200/523] lr: 4.972e-02, eta: 19:32:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.4816, top5_acc: 0.8103, loss_cls: 6.8212, loss: 6.8212 +2025-06-02 13:49:17,772 - pyskl - INFO - Epoch [15][300/523] lr: 4.971e-02, eta: 19:31:12, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.4925, top5_acc: 0.8181, loss_cls: 6.7930, loss: 6.7930 +2025-06-02 13:50:02,142 - pyskl - INFO - Epoch [15][400/523] lr: 4.970e-02, eta: 19:29:32, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.4700, top5_acc: 0.8172, loss_cls: 6.9448, loss: 6.9448 +2025-06-02 13:50:46,935 - pyskl - INFO - Epoch [15][500/523] lr: 4.969e-02, eta: 19:28:03, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.4863, top5_acc: 0.8144, loss_cls: 6.9280, loss: 6.9280 +2025-06-02 13:50:57,951 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-06-02 13:51:26,890 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:51:26,958 - pyskl - INFO - +top1_acc 0.2833 +top5_acc 0.5543 +2025-06-02 13:51:26,958 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:51:26,966 - pyskl - INFO - +mean_acc 0.2815 +2025-06-02 13:51:26,967 - pyskl - INFO - Epoch(val) [15][198] top1_acc: 0.2833, top5_acc: 0.5543, mean_class_accuracy: 0.2815 +2025-06-02 13:52:36,204 - pyskl - INFO - Epoch [16][100/523] lr: 4.968e-02, eta: 19:30:39, time: 0.692, data_time: 0.257, memory: 7964, top1_acc: 0.5053, top5_acc: 0.8244, loss_cls: 6.7332, loss: 6.7332 +2025-06-02 13:53:20,432 - pyskl - INFO - Epoch [16][200/523] lr: 4.968e-02, eta: 19:28:57, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5100, top5_acc: 0.8281, loss_cls: 6.7383, loss: 6.7383 +2025-06-02 13:54:04,624 - pyskl - INFO - Epoch [16][300/523] lr: 4.967e-02, eta: 19:27:17, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.4941, top5_acc: 0.8178, loss_cls: 6.7830, loss: 6.7830 +2025-06-02 13:54:47,781 - pyskl - INFO - Epoch [16][400/523] lr: 4.966e-02, eta: 19:25:18, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.4994, top5_acc: 0.8259, loss_cls: 6.7185, loss: 6.7185 +2025-06-02 13:55:31,964 - pyskl - INFO - Epoch [16][500/523] lr: 4.965e-02, eta: 19:23:41, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.4869, top5_acc: 0.8166, loss_cls: 6.8152, loss: 6.8152 +2025-06-02 13:55:42,850 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-06-02 13:56:11,018 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 13:56:11,086 - pyskl - INFO - +top1_acc 0.2710 +top5_acc 0.5109 +2025-06-02 13:56:11,086 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 13:56:11,093 - pyskl - INFO - +mean_acc 0.2686 +2025-06-02 13:56:11,095 - pyskl - INFO - Epoch(val) [16][198] top1_acc: 0.2710, top5_acc: 0.5109, mean_class_accuracy: 0.2686 +2025-06-02 13:57:19,711 - pyskl - INFO - Epoch [17][100/523] lr: 4.964e-02, eta: 19:25:53, time: 0.686, data_time: 0.256, memory: 7964, top1_acc: 0.5062, top5_acc: 0.8281, loss_cls: 6.7522, loss: 6.7522 +2025-06-02 13:58:03,954 - pyskl - INFO - Epoch [17][200/523] lr: 4.963e-02, eta: 19:24:15, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5138, top5_acc: 0.8266, loss_cls: 6.7681, loss: 6.7681 +2025-06-02 13:58:47,761 - pyskl - INFO - Epoch [17][300/523] lr: 4.962e-02, eta: 19:22:32, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.5188, top5_acc: 0.8397, loss_cls: 6.6573, loss: 6.6573 +2025-06-02 13:59:31,716 - pyskl - INFO - Epoch [17][400/523] lr: 4.962e-02, eta: 19:20:53, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.4984, top5_acc: 0.8094, loss_cls: 6.7996, loss: 6.7996 +2025-06-02 14:00:15,816 - pyskl - INFO - Epoch [17][500/523] lr: 4.961e-02, eta: 19:19:17, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5231, top5_acc: 0.8334, loss_cls: 6.6579, loss: 6.6579 +2025-06-02 14:00:26,525 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-06-02 14:00:54,863 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:00:54,930 - pyskl - INFO - +top1_acc 0.2963 +top5_acc 0.5559 +2025-06-02 14:00:54,930 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:00:54,936 - pyskl - INFO - +mean_acc 0.2955 +2025-06-02 14:00:54,996 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_14.pth was removed +2025-06-02 14:00:56,521 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. +2025-06-02 14:00:56,523 - pyskl - INFO - Best top1_acc is 0.2963 at 17 epoch. +2025-06-02 14:00:56,525 - pyskl - INFO - Epoch(val) [17][198] top1_acc: 0.2963, top5_acc: 0.5559, mean_class_accuracy: 0.2955 +2025-06-02 14:02:05,848 - pyskl - INFO - Epoch [18][100/523] lr: 4.960e-02, eta: 19:21:29, time: 0.693, data_time: 0.257, memory: 7964, top1_acc: 0.5294, top5_acc: 0.8444, loss_cls: 6.6404, loss: 6.6404 +2025-06-02 14:02:49,580 - pyskl - INFO - Epoch [18][200/523] lr: 4.959e-02, eta: 19:19:46, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.5234, top5_acc: 0.8384, loss_cls: 6.5845, loss: 6.5845 +2025-06-02 14:03:33,906 - pyskl - INFO - Epoch [18][300/523] lr: 4.958e-02, eta: 19:18:15, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5297, top5_acc: 0.8356, loss_cls: 6.5672, loss: 6.5672 +2025-06-02 14:04:18,425 - pyskl - INFO - Epoch [18][400/523] lr: 4.957e-02, eta: 19:16:48, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5088, top5_acc: 0.8237, loss_cls: 6.7051, loss: 6.7051 +2025-06-02 14:05:02,591 - pyskl - INFO - Epoch [18][500/523] lr: 4.956e-02, eta: 19:15:16, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5128, top5_acc: 0.8247, loss_cls: 6.6371, loss: 6.6371 +2025-06-02 14:05:13,486 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-06-02 14:05:41,632 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:05:41,701 - pyskl - INFO - +top1_acc 0.3019 +top5_acc 0.5676 +2025-06-02 14:05:41,701 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:05:41,709 - pyskl - INFO - +mean_acc 0.3013 +2025-06-02 14:05:41,765 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_17.pth was removed +2025-06-02 14:05:43,262 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-06-02 14:05:43,264 - pyskl - INFO - Best top1_acc is 0.3019 at 18 epoch. +2025-06-02 14:05:43,266 - pyskl - INFO - Epoch(val) [18][198] top1_acc: 0.3019, top5_acc: 0.5676, mean_class_accuracy: 0.3013 +2025-06-02 14:06:52,504 - pyskl - INFO - Epoch [19][100/523] lr: 4.955e-02, eta: 19:17:15, time: 0.692, data_time: 0.254, memory: 7964, top1_acc: 0.5225, top5_acc: 0.8488, loss_cls: 6.5037, loss: 6.5037 +2025-06-02 14:07:36,438 - pyskl - INFO - Epoch [19][200/523] lr: 4.954e-02, eta: 19:15:39, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5266, top5_acc: 0.8441, loss_cls: 6.5469, loss: 6.5469 +2025-06-02 14:08:20,921 - pyskl - INFO - Epoch [19][300/523] lr: 4.953e-02, eta: 19:14:13, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5325, top5_acc: 0.8459, loss_cls: 6.4973, loss: 6.4973 +2025-06-02 14:09:05,242 - pyskl - INFO - Epoch [19][400/523] lr: 4.952e-02, eta: 19:12:45, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5184, top5_acc: 0.8381, loss_cls: 6.5037, loss: 6.5037 +2025-06-02 14:09:49,539 - pyskl - INFO - Epoch [19][500/523] lr: 4.951e-02, eta: 19:11:18, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5297, top5_acc: 0.8294, loss_cls: 6.6818, loss: 6.6818 +2025-06-02 14:10:00,515 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-06-02 14:10:28,904 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:10:28,977 - pyskl - INFO - +top1_acc 0.2900 +top5_acc 0.5259 +2025-06-02 14:10:28,988 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:10:28,996 - pyskl - INFO - +mean_acc 0.2882 +2025-06-02 14:10:28,999 - pyskl - INFO - Epoch(val) [19][198] top1_acc: 0.2900, top5_acc: 0.5259, mean_class_accuracy: 0.2882 +2025-06-02 14:11:38,415 - pyskl - INFO - Epoch [20][100/523] lr: 4.950e-02, eta: 19:13:10, time: 0.694, data_time: 0.254, memory: 7964, top1_acc: 0.5472, top5_acc: 0.8438, loss_cls: 6.4524, loss: 6.4524 +2025-06-02 14:12:22,600 - pyskl - INFO - Epoch [20][200/523] lr: 4.949e-02, eta: 19:11:40, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5359, top5_acc: 0.8478, loss_cls: 6.5107, loss: 6.5107 +2025-06-02 14:13:07,139 - pyskl - INFO - Epoch [20][300/523] lr: 4.948e-02, eta: 19:10:16, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5369, top5_acc: 0.8397, loss_cls: 6.4213, loss: 6.4213 +2025-06-02 14:13:51,213 - pyskl - INFO - Epoch [20][400/523] lr: 4.947e-02, eta: 19:08:47, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5259, top5_acc: 0.8422, loss_cls: 6.4659, loss: 6.4659 +2025-06-02 14:14:34,697 - pyskl - INFO - Epoch [20][500/523] lr: 4.946e-02, eta: 19:07:10, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.5228, top5_acc: 0.8450, loss_cls: 6.5564, loss: 6.5564 +2025-06-02 14:14:45,303 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-06-02 14:15:13,597 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:15:13,668 - pyskl - INFO - +top1_acc 0.2867 +top5_acc 0.5121 +2025-06-02 14:15:13,669 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:15:13,678 - pyskl - INFO - +mean_acc 0.2874 +2025-06-02 14:15:13,680 - pyskl - INFO - Epoch(val) [20][198] top1_acc: 0.2867, top5_acc: 0.5121, mean_class_accuracy: 0.2874 +2025-06-02 14:16:22,760 - pyskl - INFO - Epoch [21][100/523] lr: 4.944e-02, eta: 19:08:49, time: 0.691, data_time: 0.259, memory: 7964, top1_acc: 0.5522, top5_acc: 0.8547, loss_cls: 6.4044, loss: 6.4044 +2025-06-02 14:17:07,020 - pyskl - INFO - Epoch [21][200/523] lr: 4.943e-02, eta: 19:07:23, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5484, top5_acc: 0.8453, loss_cls: 6.4517, loss: 6.4517 +2025-06-02 14:17:50,234 - pyskl - INFO - Epoch [21][300/523] lr: 4.942e-02, eta: 19:05:43, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.5281, top5_acc: 0.8541, loss_cls: 6.4672, loss: 6.4672 +2025-06-02 14:18:34,075 - pyskl - INFO - Epoch [21][400/523] lr: 4.941e-02, eta: 19:04:13, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.5584, top5_acc: 0.8516, loss_cls: 6.4120, loss: 6.4120 +2025-06-02 14:19:18,392 - pyskl - INFO - Epoch [21][500/523] lr: 4.940e-02, eta: 19:02:50, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5334, top5_acc: 0.8500, loss_cls: 6.4238, loss: 6.4238 +2025-06-02 14:19:29,238 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-06-02 14:19:57,388 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:19:57,475 - pyskl - INFO - +top1_acc 0.2997 +top5_acc 0.5350 +2025-06-02 14:19:57,476 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:19:57,485 - pyskl - INFO - +mean_acc 0.2971 +2025-06-02 14:19:57,488 - pyskl - INFO - Epoch(val) [21][198] top1_acc: 0.2997, top5_acc: 0.5350, mean_class_accuracy: 0.2971 +2025-06-02 14:21:06,685 - pyskl - INFO - Epoch [22][100/523] lr: 4.939e-02, eta: 19:04:22, time: 0.692, data_time: 0.252, memory: 7964, top1_acc: 0.5613, top5_acc: 0.8562, loss_cls: 6.3574, loss: 6.3574 +2025-06-02 14:21:50,525 - pyskl - INFO - Epoch [22][200/523] lr: 4.938e-02, eta: 19:02:53, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.5725, top5_acc: 0.8609, loss_cls: 6.3115, loss: 6.3115 +2025-06-02 14:22:34,543 - pyskl - INFO - Epoch [22][300/523] lr: 4.936e-02, eta: 19:01:27, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5378, top5_acc: 0.8484, loss_cls: 6.4812, loss: 6.4812 +2025-06-02 14:23:18,293 - pyskl - INFO - Epoch [22][400/523] lr: 4.935e-02, eta: 18:59:57, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.5469, top5_acc: 0.8591, loss_cls: 6.4178, loss: 6.4178 +2025-06-02 14:24:02,718 - pyskl - INFO - Epoch [22][500/523] lr: 4.934e-02, eta: 18:58:38, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.5522, top5_acc: 0.8569, loss_cls: 6.3283, loss: 6.3283 +2025-06-02 14:24:13,530 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-06-02 14:24:41,488 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:24:41,557 - pyskl - INFO - +top1_acc 0.3263 +top5_acc 0.5640 +2025-06-02 14:24:41,557 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:24:41,565 - pyskl - INFO - +mean_acc 0.3252 +2025-06-02 14:24:41,625 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_18.pth was removed +2025-06-02 14:24:43,142 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. +2025-06-02 14:24:43,143 - pyskl - INFO - Best top1_acc is 0.3263 at 22 epoch. +2025-06-02 14:24:43,146 - pyskl - INFO - Epoch(val) [22][198] top1_acc: 0.3263, top5_acc: 0.5640, mean_class_accuracy: 0.3252 +2025-06-02 14:25:51,351 - pyskl - INFO - Epoch [23][100/523] lr: 4.933e-02, eta: 18:59:50, time: 0.682, data_time: 0.250, memory: 7964, top1_acc: 0.5578, top5_acc: 0.8672, loss_cls: 6.2600, loss: 6.2600 +2025-06-02 14:26:35,805 - pyskl - INFO - Epoch [23][200/523] lr: 4.932e-02, eta: 18:58:31, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5566, top5_acc: 0.8588, loss_cls: 6.3941, loss: 6.3941 +2025-06-02 14:27:20,438 - pyskl - INFO - Epoch [23][300/523] lr: 4.930e-02, eta: 18:57:14, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.5469, top5_acc: 0.8500, loss_cls: 6.3230, loss: 6.3230 +2025-06-02 14:28:04,266 - pyskl - INFO - Epoch [23][400/523] lr: 4.929e-02, eta: 18:55:48, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.5747, top5_acc: 0.8600, loss_cls: 6.3229, loss: 6.3229 +2025-06-02 14:28:48,167 - pyskl - INFO - Epoch [23][500/523] lr: 4.928e-02, eta: 18:54:24, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5419, top5_acc: 0.8631, loss_cls: 6.3654, loss: 6.3654 +2025-06-02 14:28:58,915 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-06-02 14:29:26,829 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:29:26,901 - pyskl - INFO - +top1_acc 0.3165 +top5_acc 0.5684 +2025-06-02 14:29:26,901 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:29:26,910 - pyskl - INFO - +mean_acc 0.3161 +2025-06-02 14:29:26,912 - pyskl - INFO - Epoch(val) [23][198] top1_acc: 0.3165, top5_acc: 0.5684, mean_class_accuracy: 0.3161 +2025-06-02 14:30:35,270 - pyskl - INFO - Epoch [24][100/523] lr: 4.927e-02, eta: 18:55:32, time: 0.684, data_time: 0.261, memory: 7964, top1_acc: 0.5828, top5_acc: 0.8741, loss_cls: 6.1540, loss: 6.1540 +2025-06-02 14:31:19,233 - pyskl - INFO - Epoch [24][200/523] lr: 4.925e-02, eta: 18:54:08, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5556, top5_acc: 0.8619, loss_cls: 6.2290, loss: 6.2290 +2025-06-02 14:32:02,060 - pyskl - INFO - Epoch [24][300/523] lr: 4.924e-02, eta: 18:52:32, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.5653, top5_acc: 0.8544, loss_cls: 6.2744, loss: 6.2744 +2025-06-02 14:32:44,520 - pyskl - INFO - Epoch [24][400/523] lr: 4.923e-02, eta: 18:50:52, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.5578, top5_acc: 0.8606, loss_cls: 6.3435, loss: 6.3435 +2025-06-02 14:33:28,722 - pyskl - INFO - Epoch [24][500/523] lr: 4.922e-02, eta: 18:49:33, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5731, top5_acc: 0.8584, loss_cls: 6.2318, loss: 6.2318 +2025-06-02 14:33:39,548 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-06-02 14:34:07,661 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:34:07,727 - pyskl - INFO - +top1_acc 0.3265 +top5_acc 0.5773 +2025-06-02 14:34:07,728 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:34:07,734 - pyskl - INFO - +mean_acc 0.3245 +2025-06-02 14:34:07,789 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_22.pth was removed +2025-06-02 14:34:09,398 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-06-02 14:34:09,399 - pyskl - INFO - Best top1_acc is 0.3265 at 24 epoch. +2025-06-02 14:34:09,402 - pyskl - INFO - Epoch(val) [24][198] top1_acc: 0.3265, top5_acc: 0.5773, mean_class_accuracy: 0.3245 +2025-06-02 14:35:17,851 - pyskl - INFO - Epoch [25][100/523] lr: 4.920e-02, eta: 18:50:38, time: 0.684, data_time: 0.252, memory: 7964, top1_acc: 0.5541, top5_acc: 0.8794, loss_cls: 6.2351, loss: 6.2351 +2025-06-02 14:36:02,280 - pyskl - INFO - Epoch [25][200/523] lr: 4.919e-02, eta: 18:49:21, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.5831, top5_acc: 0.8681, loss_cls: 6.0673, loss: 6.0673 +2025-06-02 14:36:46,429 - pyskl - INFO - Epoch [25][300/523] lr: 4.918e-02, eta: 18:48:02, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5619, top5_acc: 0.8631, loss_cls: 6.2694, loss: 6.2694 +2025-06-02 14:37:30,701 - pyskl - INFO - Epoch [25][400/523] lr: 4.916e-02, eta: 18:46:45, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5509, top5_acc: 0.8672, loss_cls: 6.2120, loss: 6.2120 +2025-06-02 14:38:14,331 - pyskl - INFO - Epoch [25][500/523] lr: 4.915e-02, eta: 18:45:21, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5503, top5_acc: 0.8647, loss_cls: 6.2870, loss: 6.2870 +2025-06-02 14:38:25,331 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-06-02 14:38:53,467 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:38:53,537 - pyskl - INFO - +top1_acc 0.3168 +top5_acc 0.5767 +2025-06-02 14:38:53,537 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:38:53,545 - pyskl - INFO - +mean_acc 0.3158 +2025-06-02 14:38:53,547 - pyskl - INFO - Epoch(val) [25][198] top1_acc: 0.3168, top5_acc: 0.5767, mean_class_accuracy: 0.3158 +2025-06-02 14:40:03,968 - pyskl - INFO - Epoch [26][100/523] lr: 4.914e-02, eta: 18:46:42, time: 0.704, data_time: 0.263, memory: 7964, top1_acc: 0.5938, top5_acc: 0.8791, loss_cls: 6.1607, loss: 6.1607 +2025-06-02 14:40:46,957 - pyskl - INFO - Epoch [26][200/523] lr: 4.912e-02, eta: 18:45:11, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.5834, top5_acc: 0.8791, loss_cls: 6.1378, loss: 6.1378 +2025-06-02 14:41:30,854 - pyskl - INFO - Epoch [26][300/523] lr: 4.911e-02, eta: 18:43:50, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5753, top5_acc: 0.8659, loss_cls: 6.1505, loss: 6.1505 +2025-06-02 14:42:15,329 - pyskl - INFO - Epoch [26][400/523] lr: 4.910e-02, eta: 18:42:37, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5506, top5_acc: 0.8634, loss_cls: 6.2728, loss: 6.2728 +2025-06-02 14:42:59,906 - pyskl - INFO - Epoch [26][500/523] lr: 4.908e-02, eta: 18:41:25, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.5675, top5_acc: 0.8734, loss_cls: 6.2754, loss: 6.2754 +2025-06-02 14:43:10,889 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-06-02 14:43:39,255 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:43:39,323 - pyskl - INFO - +top1_acc 0.3223 +top5_acc 0.5706 +2025-06-02 14:43:39,323 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:43:39,331 - pyskl - INFO - +mean_acc 0.3226 +2025-06-02 14:43:39,332 - pyskl - INFO - Epoch(val) [26][198] top1_acc: 0.3223, top5_acc: 0.5706, mean_class_accuracy: 0.3226 +2025-06-02 14:44:48,973 - pyskl - INFO - Epoch [27][100/523] lr: 4.907e-02, eta: 18:42:31, time: 0.696, data_time: 0.259, memory: 7964, top1_acc: 0.5994, top5_acc: 0.8791, loss_cls: 6.0906, loss: 6.0906 +2025-06-02 14:45:33,133 - pyskl - INFO - Epoch [27][200/523] lr: 4.905e-02, eta: 18:41:14, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5837, top5_acc: 0.8781, loss_cls: 6.1994, loss: 6.1994 +2025-06-02 14:46:17,476 - pyskl - INFO - Epoch [27][300/523] lr: 4.904e-02, eta: 18:40:00, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5725, top5_acc: 0.8638, loss_cls: 6.1994, loss: 6.1994 +2025-06-02 14:47:01,652 - pyskl - INFO - Epoch [27][400/523] lr: 4.902e-02, eta: 18:38:44, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5781, top5_acc: 0.8722, loss_cls: 6.0802, loss: 6.0802 +2025-06-02 14:47:45,681 - pyskl - INFO - Epoch [27][500/523] lr: 4.901e-02, eta: 18:37:27, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5459, top5_acc: 0.8569, loss_cls: 6.3217, loss: 6.3217 +2025-06-02 14:47:56,519 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-06-02 14:48:24,935 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:48:25,004 - pyskl - INFO - +top1_acc 0.3071 +top5_acc 0.5570 +2025-06-02 14:48:25,004 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:48:25,012 - pyskl - INFO - +mean_acc 0.3053 +2025-06-02 14:48:25,013 - pyskl - INFO - Epoch(val) [27][198] top1_acc: 0.3071, top5_acc: 0.5570, mean_class_accuracy: 0.3053 +2025-06-02 14:49:34,787 - pyskl - INFO - Epoch [28][100/523] lr: 4.899e-02, eta: 18:38:30, time: 0.698, data_time: 0.260, memory: 7964, top1_acc: 0.5959, top5_acc: 0.8816, loss_cls: 6.0131, loss: 6.0131 +2025-06-02 14:50:18,976 - pyskl - INFO - Epoch [28][200/523] lr: 4.898e-02, eta: 18:37:15, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5900, top5_acc: 0.8772, loss_cls: 6.0729, loss: 6.0729 +2025-06-02 14:51:01,837 - pyskl - INFO - Epoch [28][300/523] lr: 4.897e-02, eta: 18:35:47, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.5800, top5_acc: 0.8656, loss_cls: 6.1919, loss: 6.1919 +2025-06-02 14:51:45,869 - pyskl - INFO - Epoch [28][400/523] lr: 4.895e-02, eta: 18:34:31, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5731, top5_acc: 0.8722, loss_cls: 6.1606, loss: 6.1606 +2025-06-02 14:52:30,641 - pyskl - INFO - Epoch [28][500/523] lr: 4.894e-02, eta: 18:33:22, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.5725, top5_acc: 0.8697, loss_cls: 6.1626, loss: 6.1626 +2025-06-02 14:52:41,472 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-06-02 14:53:09,576 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:53:09,649 - pyskl - INFO - +top1_acc 0.3450 +top5_acc 0.5909 +2025-06-02 14:53:09,649 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:53:09,657 - pyskl - INFO - +mean_acc 0.3410 +2025-06-02 14:53:09,714 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_24.pth was removed +2025-06-02 14:53:11,227 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_28.pth. +2025-06-02 14:53:11,229 - pyskl - INFO - Best top1_acc is 0.3450 at 28 epoch. +2025-06-02 14:53:11,231 - pyskl - INFO - Epoch(val) [28][198] top1_acc: 0.3450, top5_acc: 0.5909, mean_class_accuracy: 0.3410 +2025-06-02 14:54:22,151 - pyskl - INFO - Epoch [29][100/523] lr: 4.892e-02, eta: 18:34:31, time: 0.709, data_time: 0.269, memory: 7964, top1_acc: 0.6075, top5_acc: 0.8894, loss_cls: 6.0344, loss: 6.0344 +2025-06-02 14:55:05,710 - pyskl - INFO - Epoch [29][200/523] lr: 4.890e-02, eta: 18:33:11, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.5666, top5_acc: 0.8728, loss_cls: 6.1351, loss: 6.1351 +2025-06-02 14:55:49,036 - pyskl - INFO - Epoch [29][300/523] lr: 4.889e-02, eta: 18:31:49, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.5813, top5_acc: 0.8766, loss_cls: 6.0503, loss: 6.0503 +2025-06-02 14:56:33,052 - pyskl - INFO - Epoch [29][400/523] lr: 4.887e-02, eta: 18:30:34, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5697, top5_acc: 0.8722, loss_cls: 6.1166, loss: 6.1166 +2025-06-02 14:57:17,275 - pyskl - INFO - Epoch [29][500/523] lr: 4.886e-02, eta: 18:29:21, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5709, top5_acc: 0.8747, loss_cls: 6.1739, loss: 6.1739 +2025-06-02 14:57:28,208 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-06-02 14:57:56,540 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 14:57:56,615 - pyskl - INFO - +top1_acc 0.3179 +top5_acc 0.5469 +2025-06-02 14:57:56,615 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 14:57:56,622 - pyskl - INFO - +mean_acc 0.3165 +2025-06-02 14:57:56,624 - pyskl - INFO - Epoch(val) [29][198] top1_acc: 0.3179, top5_acc: 0.5469, mean_class_accuracy: 0.3165 +2025-06-02 14:59:06,391 - pyskl - INFO - Epoch [30][100/523] lr: 4.884e-02, eta: 18:30:15, time: 0.698, data_time: 0.257, memory: 7964, top1_acc: 0.6153, top5_acc: 0.8909, loss_cls: 5.8374, loss: 5.8374 +2025-06-02 14:59:50,495 - pyskl - INFO - Epoch [30][200/523] lr: 4.883e-02, eta: 18:29:01, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.5991, top5_acc: 0.8853, loss_cls: 5.8968, loss: 5.8968 +2025-06-02 15:00:34,406 - pyskl - INFO - Epoch [30][300/523] lr: 4.881e-02, eta: 18:27:45, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.5756, top5_acc: 0.8681, loss_cls: 6.2565, loss: 6.2565 +2025-06-02 15:01:18,708 - pyskl - INFO - Epoch [30][400/523] lr: 4.880e-02, eta: 18:26:34, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.5684, top5_acc: 0.8750, loss_cls: 6.0809, loss: 6.0809 +2025-06-02 15:02:02,953 - pyskl - INFO - Epoch [30][500/523] lr: 4.878e-02, eta: 18:25:22, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5891, top5_acc: 0.8847, loss_cls: 5.9352, loss: 5.9352 +2025-06-02 15:02:13,737 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-06-02 15:02:42,071 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:02:42,140 - pyskl - INFO - +top1_acc 0.3084 +top5_acc 0.5541 +2025-06-02 15:02:42,140 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:02:42,148 - pyskl - INFO - +mean_acc 0.3083 +2025-06-02 15:02:42,151 - pyskl - INFO - Epoch(val) [30][198] top1_acc: 0.3084, top5_acc: 0.5541, mean_class_accuracy: 0.3083 +2025-06-02 15:03:51,567 - pyskl - INFO - Epoch [31][100/523] lr: 4.876e-02, eta: 18:26:09, time: 0.694, data_time: 0.255, memory: 7964, top1_acc: 0.5934, top5_acc: 0.8841, loss_cls: 6.0495, loss: 6.0495 +2025-06-02 15:04:35,600 - pyskl - INFO - Epoch [31][200/523] lr: 4.875e-02, eta: 18:24:55, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5966, top5_acc: 0.8881, loss_cls: 6.0246, loss: 6.0246 +2025-06-02 15:05:19,818 - pyskl - INFO - Epoch [31][300/523] lr: 4.873e-02, eta: 18:23:43, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6062, top5_acc: 0.8791, loss_cls: 5.9823, loss: 5.9823 +2025-06-02 15:06:03,844 - pyskl - INFO - Epoch [31][400/523] lr: 4.871e-02, eta: 18:22:30, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5878, top5_acc: 0.8744, loss_cls: 6.0455, loss: 6.0455 +2025-06-02 15:06:47,892 - pyskl - INFO - Epoch [31][500/523] lr: 4.870e-02, eta: 18:21:18, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.5913, top5_acc: 0.8794, loss_cls: 6.0803, loss: 6.0803 +2025-06-02 15:06:58,895 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-06-02 15:07:27,660 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:07:27,730 - pyskl - INFO - +top1_acc 0.3138 +top5_acc 0.5700 +2025-06-02 15:07:27,730 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:07:27,740 - pyskl - INFO - +mean_acc 0.3147 +2025-06-02 15:07:27,744 - pyskl - INFO - Epoch(val) [31][198] top1_acc: 0.3138, top5_acc: 0.5700, mean_class_accuracy: 0.3147 +2025-06-02 15:08:37,577 - pyskl - INFO - Epoch [32][100/523] lr: 4.868e-02, eta: 18:22:04, time: 0.698, data_time: 0.262, memory: 7964, top1_acc: 0.6125, top5_acc: 0.8903, loss_cls: 5.9114, loss: 5.9114 +2025-06-02 15:09:22,105 - pyskl - INFO - Epoch [32][200/523] lr: 4.866e-02, eta: 18:20:56, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5925, top5_acc: 0.8881, loss_cls: 6.0041, loss: 6.0041 +2025-06-02 15:10:06,585 - pyskl - INFO - Epoch [32][300/523] lr: 4.865e-02, eta: 18:19:47, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5909, top5_acc: 0.8847, loss_cls: 5.9522, loss: 5.9522 +2025-06-02 15:10:50,915 - pyskl - INFO - Epoch [32][400/523] lr: 4.863e-02, eta: 18:18:37, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6056, top5_acc: 0.8825, loss_cls: 6.0442, loss: 6.0442 +2025-06-02 15:11:34,762 - pyskl - INFO - Epoch [32][500/523] lr: 4.861e-02, eta: 18:17:24, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.5847, top5_acc: 0.8678, loss_cls: 5.9640, loss: 5.9640 +2025-06-02 15:11:45,551 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-06-02 15:12:14,024 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:12:14,093 - pyskl - INFO - +top1_acc 0.3309 +top5_acc 0.5778 +2025-06-02 15:12:14,094 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:12:14,102 - pyskl - INFO - +mean_acc 0.3294 +2025-06-02 15:12:14,103 - pyskl - INFO - Epoch(val) [32][198] top1_acc: 0.3309, top5_acc: 0.5778, mean_class_accuracy: 0.3294 +2025-06-02 15:13:23,605 - pyskl - INFO - Epoch [33][100/523] lr: 4.859e-02, eta: 18:18:04, time: 0.695, data_time: 0.256, memory: 7964, top1_acc: 0.6012, top5_acc: 0.8888, loss_cls: 5.7929, loss: 5.7929 +2025-06-02 15:14:06,938 - pyskl - INFO - Epoch [33][200/523] lr: 4.858e-02, eta: 18:16:46, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6119, top5_acc: 0.8822, loss_cls: 5.9261, loss: 5.9261 +2025-06-02 15:14:51,135 - pyskl - INFO - Epoch [33][300/523] lr: 4.856e-02, eta: 18:15:36, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5944, top5_acc: 0.8881, loss_cls: 5.9491, loss: 5.9491 +2025-06-02 15:15:34,941 - pyskl - INFO - Epoch [33][400/523] lr: 4.854e-02, eta: 18:14:23, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.5906, top5_acc: 0.8753, loss_cls: 6.0033, loss: 6.0033 +2025-06-02 15:16:19,184 - pyskl - INFO - Epoch [33][500/523] lr: 4.853e-02, eta: 18:13:14, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5947, top5_acc: 0.8875, loss_cls: 6.0368, loss: 6.0368 +2025-06-02 15:16:30,003 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-06-02 15:16:58,098 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:16:58,168 - pyskl - INFO - +top1_acc 0.3433 +top5_acc 0.5752 +2025-06-02 15:16:58,168 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:16:58,176 - pyskl - INFO - +mean_acc 0.3418 +2025-06-02 15:16:58,177 - pyskl - INFO - Epoch(val) [33][198] top1_acc: 0.3433, top5_acc: 0.5752, mean_class_accuracy: 0.3418 +2025-06-02 15:18:08,185 - pyskl - INFO - Epoch [34][100/523] lr: 4.851e-02, eta: 18:13:54, time: 0.700, data_time: 0.259, memory: 7964, top1_acc: 0.6194, top5_acc: 0.8891, loss_cls: 5.8743, loss: 5.8743 +2025-06-02 15:18:51,761 - pyskl - INFO - Epoch [34][200/523] lr: 4.849e-02, eta: 18:12:40, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6162, top5_acc: 0.8909, loss_cls: 5.8413, loss: 5.8413 +2025-06-02 15:19:35,975 - pyskl - INFO - Epoch [34][300/523] lr: 4.847e-02, eta: 18:11:30, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6000, top5_acc: 0.8819, loss_cls: 5.9948, loss: 5.9948 +2025-06-02 15:20:20,333 - pyskl - INFO - Epoch [34][400/523] lr: 4.845e-02, eta: 18:10:22, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6066, top5_acc: 0.8812, loss_cls: 5.9064, loss: 5.9064 +2025-06-02 15:21:04,867 - pyskl - INFO - Epoch [34][500/523] lr: 4.844e-02, eta: 18:09:16, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.5906, top5_acc: 0.8888, loss_cls: 6.0073, loss: 6.0073 +2025-06-02 15:21:15,758 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-06-02 15:21:43,771 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:21:43,841 - pyskl - INFO - +top1_acc 0.3282 +top5_acc 0.5841 +2025-06-02 15:21:43,842 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:21:43,849 - pyskl - INFO - +mean_acc 0.3285 +2025-06-02 15:21:43,850 - pyskl - INFO - Epoch(val) [34][198] top1_acc: 0.3282, top5_acc: 0.5841, mean_class_accuracy: 0.3285 +2025-06-02 15:22:53,555 - pyskl - INFO - Epoch [35][100/523] lr: 4.841e-02, eta: 18:09:51, time: 0.697, data_time: 0.256, memory: 7964, top1_acc: 0.6172, top5_acc: 0.8825, loss_cls: 5.9473, loss: 5.9473 +2025-06-02 15:23:38,083 - pyskl - INFO - Epoch [35][200/523] lr: 4.840e-02, eta: 18:08:45, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6128, top5_acc: 0.8925, loss_cls: 5.8795, loss: 5.8795 +2025-06-02 15:24:22,315 - pyskl - INFO - Epoch [35][300/523] lr: 4.838e-02, eta: 18:07:36, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6097, top5_acc: 0.8909, loss_cls: 5.8260, loss: 5.8260 +2025-06-02 15:25:06,754 - pyskl - INFO - Epoch [35][400/523] lr: 4.836e-02, eta: 18:06:30, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6006, top5_acc: 0.8856, loss_cls: 5.9161, loss: 5.9161 +2025-06-02 15:25:50,957 - pyskl - INFO - Epoch [35][500/523] lr: 4.834e-02, eta: 18:05:21, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6097, top5_acc: 0.8866, loss_cls: 5.9133, loss: 5.9133 +2025-06-02 15:26:01,861 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-06-02 15:26:29,998 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:26:30,065 - pyskl - INFO - +top1_acc 0.3376 +top5_acc 0.5951 +2025-06-02 15:26:30,065 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:26:30,072 - pyskl - INFO - +mean_acc 0.3374 +2025-06-02 15:26:30,073 - pyskl - INFO - Epoch(val) [35][198] top1_acc: 0.3376, top5_acc: 0.5951, mean_class_accuracy: 0.3374 +2025-06-02 15:27:39,449 - pyskl - INFO - Epoch [36][100/523] lr: 4.832e-02, eta: 18:05:51, time: 0.694, data_time: 0.257, memory: 7964, top1_acc: 0.6234, top5_acc: 0.9038, loss_cls: 5.7455, loss: 5.7455 +2025-06-02 15:28:22,411 - pyskl - INFO - Epoch [36][200/523] lr: 4.830e-02, eta: 18:04:33, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6041, top5_acc: 0.8912, loss_cls: 5.9550, loss: 5.9550 +2025-06-02 15:29:06,169 - pyskl - INFO - Epoch [36][300/523] lr: 4.829e-02, eta: 18:03:22, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.5978, top5_acc: 0.8878, loss_cls: 5.9589, loss: 5.9589 +2025-06-02 15:29:49,939 - pyskl - INFO - Epoch [36][400/523] lr: 4.827e-02, eta: 18:02:11, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6091, top5_acc: 0.8925, loss_cls: 5.8947, loss: 5.8947 +2025-06-02 15:30:33,794 - pyskl - INFO - Epoch [36][500/523] lr: 4.825e-02, eta: 18:01:01, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6047, top5_acc: 0.8831, loss_cls: 5.8365, loss: 5.8365 +2025-06-02 15:30:44,607 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-06-02 15:31:12,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:31:12,671 - pyskl - INFO - +top1_acc 0.3430 +top5_acc 0.6027 +2025-06-02 15:31:12,671 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:31:12,678 - pyskl - INFO - +mean_acc 0.3415 +2025-06-02 15:31:12,679 - pyskl - INFO - Epoch(val) [36][198] top1_acc: 0.3430, top5_acc: 0.6027, mean_class_accuracy: 0.3415 +2025-06-02 15:32:20,581 - pyskl - INFO - Epoch [37][100/523] lr: 4.823e-02, eta: 18:01:17, time: 0.679, data_time: 0.254, memory: 7964, top1_acc: 0.6253, top5_acc: 0.9019, loss_cls: 5.7506, loss: 5.7506 +2025-06-02 15:33:03,643 - pyskl - INFO - Epoch [37][200/523] lr: 4.821e-02, eta: 18:00:01, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6109, top5_acc: 0.9012, loss_cls: 5.8003, loss: 5.8003 +2025-06-02 15:33:47,996 - pyskl - INFO - Epoch [37][300/523] lr: 4.819e-02, eta: 17:58:55, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.5997, top5_acc: 0.8881, loss_cls: 5.8772, loss: 5.8772 +2025-06-02 15:34:32,120 - pyskl - INFO - Epoch [37][400/523] lr: 4.817e-02, eta: 17:57:48, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6275, top5_acc: 0.8931, loss_cls: 5.7457, loss: 5.7457 +2025-06-02 15:35:16,239 - pyskl - INFO - Epoch [37][500/523] lr: 4.815e-02, eta: 17:56:40, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6062, top5_acc: 0.8891, loss_cls: 5.9045, loss: 5.9045 +2025-06-02 15:35:27,132 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-06-02 15:35:55,664 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:35:55,734 - pyskl - INFO - +top1_acc 0.3529 +top5_acc 0.6079 +2025-06-02 15:35:55,734 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:35:55,742 - pyskl - INFO - +mean_acc 0.3527 +2025-06-02 15:35:55,803 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_28.pth was removed +2025-06-02 15:35:57,331 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_37.pth. +2025-06-02 15:35:57,333 - pyskl - INFO - Best top1_acc is 0.3529 at 37 epoch. +2025-06-02 15:35:57,335 - pyskl - INFO - Epoch(val) [37][198] top1_acc: 0.3529, top5_acc: 0.6079, mean_class_accuracy: 0.3527 +2025-06-02 15:37:06,333 - pyskl - INFO - Epoch [38][100/523] lr: 4.813e-02, eta: 17:57:02, time: 0.690, data_time: 0.253, memory: 7964, top1_acc: 0.6300, top5_acc: 0.8984, loss_cls: 5.7627, loss: 5.7627 +2025-06-02 15:37:48,774 - pyskl - INFO - Epoch [38][200/523] lr: 4.811e-02, eta: 17:55:43, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.6081, top5_acc: 0.8984, loss_cls: 5.8130, loss: 5.8130 +2025-06-02 15:38:31,110 - pyskl - INFO - Epoch [38][300/523] lr: 4.809e-02, eta: 17:54:23, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.6153, top5_acc: 0.8931, loss_cls: 5.8294, loss: 5.8294 +2025-06-02 15:39:13,336 - pyskl - INFO - Epoch [38][400/523] lr: 4.807e-02, eta: 17:53:04, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6359, top5_acc: 0.8966, loss_cls: 5.6330, loss: 5.6330 +2025-06-02 15:39:56,061 - pyskl - INFO - Epoch [38][500/523] lr: 4.805e-02, eta: 17:51:47, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.6103, top5_acc: 0.8947, loss_cls: 5.8337, loss: 5.8337 +2025-06-02 15:40:06,723 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-06-02 15:40:35,021 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:40:35,092 - pyskl - INFO - +top1_acc 0.3309 +top5_acc 0.5846 +2025-06-02 15:40:35,092 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:40:35,101 - pyskl - INFO - +mean_acc 0.3273 +2025-06-02 15:40:35,103 - pyskl - INFO - Epoch(val) [38][198] top1_acc: 0.3309, top5_acc: 0.5846, mean_class_accuracy: 0.3273 +2025-06-02 15:41:45,361 - pyskl - INFO - Epoch [39][100/523] lr: 4.803e-02, eta: 17:52:16, time: 0.703, data_time: 0.257, memory: 7964, top1_acc: 0.6291, top5_acc: 0.9128, loss_cls: 5.6265, loss: 5.6265 +2025-06-02 15:42:29,652 - pyskl - INFO - Epoch [39][200/523] lr: 4.801e-02, eta: 17:51:10, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6353, top5_acc: 0.8984, loss_cls: 5.8047, loss: 5.8047 +2025-06-02 15:43:13,689 - pyskl - INFO - Epoch [39][300/523] lr: 4.799e-02, eta: 17:50:03, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6216, top5_acc: 0.8875, loss_cls: 5.7421, loss: 5.7421 +2025-06-02 15:43:57,464 - pyskl - INFO - Epoch [39][400/523] lr: 4.797e-02, eta: 17:48:55, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6209, top5_acc: 0.8906, loss_cls: 5.8133, loss: 5.8133 +2025-06-02 15:44:41,672 - pyskl - INFO - Epoch [39][500/523] lr: 4.795e-02, eta: 17:47:50, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.5981, top5_acc: 0.8850, loss_cls: 5.9230, loss: 5.9230 +2025-06-02 15:44:52,514 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-06-02 15:45:20,808 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:45:20,880 - pyskl - INFO - +top1_acc 0.3406 +top5_acc 0.5733 +2025-06-02 15:45:20,880 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:45:20,889 - pyskl - INFO - +mean_acc 0.3392 +2025-06-02 15:45:20,891 - pyskl - INFO - Epoch(val) [39][198] top1_acc: 0.3406, top5_acc: 0.5733, mean_class_accuracy: 0.3392 +2025-06-02 15:46:29,741 - pyskl - INFO - Epoch [40][100/523] lr: 4.792e-02, eta: 17:48:06, time: 0.688, data_time: 0.263, memory: 7964, top1_acc: 0.6291, top5_acc: 0.9016, loss_cls: 5.7128, loss: 5.7128 +2025-06-02 15:47:12,950 - pyskl - INFO - Epoch [40][200/523] lr: 4.790e-02, eta: 17:46:54, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6228, top5_acc: 0.8944, loss_cls: 5.7221, loss: 5.7221 +2025-06-02 15:47:56,364 - pyskl - INFO - Epoch [40][300/523] lr: 4.788e-02, eta: 17:45:44, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6356, top5_acc: 0.9019, loss_cls: 5.7042, loss: 5.7042 +2025-06-02 15:48:39,998 - pyskl - INFO - Epoch [40][400/523] lr: 4.786e-02, eta: 17:44:35, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6128, top5_acc: 0.8822, loss_cls: 5.8145, loss: 5.8145 +2025-06-02 15:49:23,582 - pyskl - INFO - Epoch [40][500/523] lr: 4.784e-02, eta: 17:43:26, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6341, top5_acc: 0.9031, loss_cls: 5.7736, loss: 5.7736 +2025-06-02 15:49:34,296 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-06-02 15:50:02,694 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:50:02,765 - pyskl - INFO - +top1_acc 0.3712 +top5_acc 0.6171 +2025-06-02 15:50:02,765 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:50:02,773 - pyskl - INFO - +mean_acc 0.3705 +2025-06-02 15:50:02,833 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_37.pth was removed +2025-06-02 15:50:04,395 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. +2025-06-02 15:50:04,397 - pyskl - INFO - Best top1_acc is 0.3712 at 40 epoch. +2025-06-02 15:50:04,401 - pyskl - INFO - Epoch(val) [40][198] top1_acc: 0.3712, top5_acc: 0.6171, mean_class_accuracy: 0.3705 +2025-06-02 15:51:14,923 - pyskl - INFO - Epoch [41][100/523] lr: 4.782e-02, eta: 17:43:51, time: 0.705, data_time: 0.279, memory: 7964, top1_acc: 0.6331, top5_acc: 0.9069, loss_cls: 5.6554, loss: 5.6554 +2025-06-02 15:51:58,580 - pyskl - INFO - Epoch [41][200/523] lr: 4.780e-02, eta: 17:42:43, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6319, top5_acc: 0.9031, loss_cls: 5.6896, loss: 5.6896 +2025-06-02 15:52:42,594 - pyskl - INFO - Epoch [41][300/523] lr: 4.778e-02, eta: 17:41:37, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6084, top5_acc: 0.8909, loss_cls: 5.8050, loss: 5.8050 +2025-06-02 15:53:26,772 - pyskl - INFO - Epoch [41][400/523] lr: 4.776e-02, eta: 17:40:33, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6078, top5_acc: 0.8984, loss_cls: 5.7794, loss: 5.7794 +2025-06-02 15:54:10,967 - pyskl - INFO - Epoch [41][500/523] lr: 4.774e-02, eta: 17:39:28, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6172, top5_acc: 0.8966, loss_cls: 5.7721, loss: 5.7721 +2025-06-02 15:54:21,803 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-06-02 15:54:50,235 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:54:50,307 - pyskl - INFO - +top1_acc 0.3710 +top5_acc 0.6185 +2025-06-02 15:54:50,307 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:54:50,315 - pyskl - INFO - +mean_acc 0.3710 +2025-06-02 15:54:50,316 - pyskl - INFO - Epoch(val) [41][198] top1_acc: 0.3710, top5_acc: 0.6185, mean_class_accuracy: 0.3710 +2025-06-02 15:55:58,609 - pyskl - INFO - Epoch [42][100/523] lr: 4.771e-02, eta: 17:39:37, time: 0.683, data_time: 0.258, memory: 7964, top1_acc: 0.6409, top5_acc: 0.9066, loss_cls: 5.6392, loss: 5.6392 +2025-06-02 15:56:42,409 - pyskl - INFO - Epoch [42][200/523] lr: 4.769e-02, eta: 17:38:30, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6291, top5_acc: 0.9022, loss_cls: 5.6546, loss: 5.6546 +2025-06-02 15:57:26,829 - pyskl - INFO - Epoch [42][300/523] lr: 4.767e-02, eta: 17:37:28, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6278, top5_acc: 0.9006, loss_cls: 5.7437, loss: 5.7437 +2025-06-02 15:58:09,600 - pyskl - INFO - Epoch [42][400/523] lr: 4.765e-02, eta: 17:36:15, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6275, top5_acc: 0.8959, loss_cls: 5.7586, loss: 5.7586 +2025-06-02 15:58:54,074 - pyskl - INFO - Epoch [42][500/523] lr: 4.763e-02, eta: 17:35:13, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6184, top5_acc: 0.8984, loss_cls: 5.7075, loss: 5.7075 +2025-06-02 15:59:04,950 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-06-02 15:59:33,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 15:59:33,349 - pyskl - INFO - +top1_acc 0.3507 +top5_acc 0.6000 +2025-06-02 15:59:33,349 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 15:59:33,356 - pyskl - INFO - +mean_acc 0.3510 +2025-06-02 15:59:33,357 - pyskl - INFO - Epoch(val) [42][198] top1_acc: 0.3507, top5_acc: 0.6000, mean_class_accuracy: 0.3510 +2025-06-02 16:00:43,042 - pyskl - INFO - Epoch [43][100/523] lr: 4.760e-02, eta: 17:35:28, time: 0.697, data_time: 0.254, memory: 7964, top1_acc: 0.6366, top5_acc: 0.9131, loss_cls: 5.6557, loss: 5.6557 +2025-06-02 16:01:26,914 - pyskl - INFO - Epoch [43][200/523] lr: 4.758e-02, eta: 17:34:23, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6244, top5_acc: 0.9000, loss_cls: 5.7393, loss: 5.7393 +2025-06-02 16:02:11,122 - pyskl - INFO - Epoch [43][300/523] lr: 4.756e-02, eta: 17:33:19, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6203, top5_acc: 0.8969, loss_cls: 5.7394, loss: 5.7394 +2025-06-02 16:02:55,384 - pyskl - INFO - Epoch [43][400/523] lr: 4.753e-02, eta: 17:32:16, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6444, top5_acc: 0.8991, loss_cls: 5.6763, loss: 5.6763 +2025-06-02 16:03:39,611 - pyskl - INFO - Epoch [43][500/523] lr: 4.751e-02, eta: 17:31:13, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6391, top5_acc: 0.8997, loss_cls: 5.7027, loss: 5.7027 +2025-06-02 16:03:50,471 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-06-02 16:04:19,016 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 16:04:19,097 - pyskl - INFO - +top1_acc 0.3322 +top5_acc 0.5779 +2025-06-02 16:04:19,097 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 16:04:19,107 - pyskl - INFO - +mean_acc 0.3303 +2025-06-02 16:04:19,109 - pyskl - INFO - Epoch(val) [43][198] top1_acc: 0.3322, top5_acc: 0.5779, mean_class_accuracy: 0.3303 +2025-06-02 16:05:28,221 - pyskl - INFO - Epoch [44][100/523] lr: 4.749e-02, eta: 17:31:23, time: 0.691, data_time: 0.256, memory: 7964, top1_acc: 0.6397, top5_acc: 0.9081, loss_cls: 5.5844, loss: 5.5844 +2025-06-02 16:06:12,589 - pyskl - INFO - Epoch [44][200/523] lr: 4.746e-02, eta: 17:30:21, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6325, top5_acc: 0.9028, loss_cls: 5.7288, loss: 5.7288 +2025-06-02 16:06:56,823 - pyskl - INFO - Epoch [44][300/523] lr: 4.744e-02, eta: 17:29:18, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6419, top5_acc: 0.9041, loss_cls: 5.6458, loss: 5.6458 +2025-06-02 16:07:41,270 - pyskl - INFO - Epoch [44][400/523] lr: 4.742e-02, eta: 17:28:16, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6362, top5_acc: 0.9012, loss_cls: 5.6646, loss: 5.6646 +2025-06-02 16:08:25,573 - pyskl - INFO - Epoch [44][500/523] lr: 4.740e-02, eta: 17:27:14, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6184, top5_acc: 0.8909, loss_cls: 5.7504, loss: 5.7504 +2025-06-02 16:08:36,392 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-06-02 16:09:04,686 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 16:09:04,758 - pyskl - INFO - +top1_acc 0.3307 +top5_acc 0.5633 +2025-06-02 16:09:04,758 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 16:09:04,767 - pyskl - INFO - +mean_acc 0.3296 +2025-06-02 16:09:04,769 - pyskl - INFO - Epoch(val) [44][198] top1_acc: 0.3307, top5_acc: 0.5633, mean_class_accuracy: 0.3296 +2025-06-02 16:10:14,275 - pyskl - INFO - Epoch [45][100/523] lr: 4.737e-02, eta: 17:27:24, time: 0.695, data_time: 0.259, memory: 7964, top1_acc: 0.6450, top5_acc: 0.9050, loss_cls: 5.6079, loss: 5.6079 +2025-06-02 16:10:58,323 - pyskl - INFO - Epoch [45][200/523] lr: 4.735e-02, eta: 17:26:20, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6434, top5_acc: 0.9081, loss_cls: 5.6637, loss: 5.6637 +2025-06-02 16:11:42,798 - pyskl - INFO - Epoch [45][300/523] lr: 4.733e-02, eta: 17:25:19, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6359, top5_acc: 0.8925, loss_cls: 5.7474, loss: 5.7474 +2025-06-02 16:12:27,216 - pyskl - INFO - Epoch [45][400/523] lr: 4.730e-02, eta: 17:24:18, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6319, top5_acc: 0.9022, loss_cls: 5.6276, loss: 5.6276 +2025-06-02 16:13:11,702 - pyskl - INFO - Epoch [45][500/523] lr: 4.728e-02, eta: 17:23:17, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6294, top5_acc: 0.8994, loss_cls: 5.6653, loss: 5.6653 +2025-06-02 16:13:22,502 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-06-02 16:13:50,977 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 16:13:51,044 - pyskl - INFO - +top1_acc 0.3509 +top5_acc 0.5962 +2025-06-02 16:13:51,044 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 16:13:51,051 - pyskl - INFO - +mean_acc 0.3509 +2025-06-02 16:13:51,052 - pyskl - INFO - Epoch(val) [45][198] top1_acc: 0.3509, top5_acc: 0.5962, mean_class_accuracy: 0.3509 +2025-06-02 16:14:59,856 - pyskl - INFO - Epoch [46][100/523] lr: 4.725e-02, eta: 17:23:22, time: 0.688, data_time: 0.259, memory: 7964, top1_acc: 0.6591, top5_acc: 0.9163, loss_cls: 5.4349, loss: 5.4349 +2025-06-02 16:15:44,058 - pyskl - INFO - Epoch [46][200/523] lr: 4.723e-02, eta: 17:22:19, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6394, top5_acc: 0.9041, loss_cls: 5.6889, loss: 5.6889 +2025-06-02 16:16:28,325 - pyskl - INFO - Epoch [46][300/523] lr: 4.721e-02, eta: 17:21:17, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6381, top5_acc: 0.9069, loss_cls: 5.6030, loss: 5.6030 +2025-06-02 16:17:12,277 - pyskl - INFO - Epoch [46][400/523] lr: 4.718e-02, eta: 17:20:13, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6266, top5_acc: 0.9000, loss_cls: 5.7224, loss: 5.7224 +2025-06-02 16:17:56,279 - pyskl - INFO - Epoch [46][500/523] lr: 4.716e-02, eta: 17:19:10, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6350, top5_acc: 0.9028, loss_cls: 5.6641, loss: 5.6641 +2025-06-02 16:18:07,016 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-06-02 16:18:35,160 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 16:18:35,227 - pyskl - INFO - +top1_acc 0.2944 +top5_acc 0.5048 +2025-06-02 16:18:35,227 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 16:18:35,234 - pyskl - INFO - +mean_acc 0.2943 +2025-06-02 16:18:35,236 - pyskl - INFO - Epoch(val) [46][198] top1_acc: 0.2944, top5_acc: 0.5048, mean_class_accuracy: 0.2943 +2025-06-02 16:19:45,348 - pyskl - INFO - Epoch [47][100/523] lr: 4.713e-02, eta: 17:19:21, time: 0.701, data_time: 0.257, memory: 7964, top1_acc: 0.6559, top5_acc: 0.9116, loss_cls: 5.6094, loss: 5.6094 +2025-06-02 16:20:29,603 - pyskl - INFO - Epoch [47][200/523] lr: 4.711e-02, eta: 17:18:19, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6338, top5_acc: 0.9113, loss_cls: 5.7155, loss: 5.7155 +2025-06-02 16:21:14,140 - pyskl - INFO - Epoch [47][300/523] lr: 4.709e-02, eta: 17:17:18, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6425, top5_acc: 0.9038, loss_cls: 5.6700, loss: 5.6700 +2025-06-02 16:21:58,495 - pyskl - INFO - Epoch [47][400/523] lr: 4.706e-02, eta: 17:16:17, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6422, top5_acc: 0.9028, loss_cls: 5.6737, loss: 5.6737 +2025-06-02 16:22:42,877 - pyskl - INFO - Epoch [47][500/523] lr: 4.704e-02, eta: 17:15:17, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6403, top5_acc: 0.9009, loss_cls: 5.6278, loss: 5.6278 +2025-06-02 16:22:53,324 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-06-02 16:23:21,681 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 16:23:21,751 - pyskl - INFO - +top1_acc 0.3553 +top5_acc 0.5989 +2025-06-02 16:23:21,751 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 16:23:21,760 - pyskl - INFO - +mean_acc 0.3553 +2025-06-02 16:23:21,762 - pyskl - INFO - Epoch(val) [47][198] top1_acc: 0.3553, top5_acc: 0.5989, mean_class_accuracy: 0.3553 +2025-06-02 16:24:30,815 - pyskl - INFO - Epoch [48][100/523] lr: 4.701e-02, eta: 17:15:20, time: 0.690, data_time: 0.256, memory: 7964, top1_acc: 0.6559, top5_acc: 0.9125, loss_cls: 5.5782, loss: 5.5782 +2025-06-02 16:25:14,885 - pyskl - INFO - Epoch [48][200/523] lr: 4.699e-02, eta: 17:14:17, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6528, top5_acc: 0.9131, loss_cls: 5.5946, loss: 5.5946 +2025-06-02 16:25:58,982 - pyskl - INFO - Epoch [48][300/523] lr: 4.696e-02, eta: 17:13:15, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6372, top5_acc: 0.9156, loss_cls: 5.5906, loss: 5.5906 +2025-06-02 16:26:43,167 - pyskl - INFO - Epoch [48][400/523] lr: 4.694e-02, eta: 17:12:13, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6309, top5_acc: 0.8981, loss_cls: 5.6504, loss: 5.6504 +2025-06-02 16:27:26,954 - pyskl - INFO - Epoch [48][500/523] lr: 4.691e-02, eta: 17:11:10, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6259, top5_acc: 0.9000, loss_cls: 5.7953, loss: 5.7953 +2025-06-02 16:27:37,752 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-06-02 16:28:06,180 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 16:28:06,249 - pyskl - INFO - +top1_acc 0.3680 +top5_acc 0.6114 +2025-06-02 16:28:06,249 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 16:28:06,257 - pyskl - INFO - +mean_acc 0.3687 +2025-06-02 16:28:06,258 - pyskl - INFO - Epoch(val) [48][198] top1_acc: 0.3680, top5_acc: 0.6114, mean_class_accuracy: 0.3687 +2025-06-02 16:29:14,350 - pyskl - INFO - Epoch [49][100/523] lr: 4.688e-02, eta: 17:11:06, time: 0.681, data_time: 0.254, memory: 7964, top1_acc: 0.6631, top5_acc: 0.9159, loss_cls: 5.5521, loss: 5.5521 +2025-06-02 16:29:57,667 - pyskl - INFO - Epoch [49][200/523] lr: 4.686e-02, eta: 17:10:00, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6494, top5_acc: 0.9113, loss_cls: 5.4991, loss: 5.4991 +2025-06-02 16:30:41,156 - pyskl - INFO - Epoch [49][300/523] lr: 4.684e-02, eta: 17:08:55, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6322, top5_acc: 0.9038, loss_cls: 5.6762, loss: 5.6762 +2025-06-02 16:31:24,992 - pyskl - INFO - Epoch [49][400/523] lr: 4.681e-02, eta: 17:07:52, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6406, top5_acc: 0.9059, loss_cls: 5.6975, loss: 5.6975 +2025-06-02 16:32:08,840 - pyskl - INFO - Epoch [49][500/523] lr: 4.679e-02, eta: 17:06:49, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6353, top5_acc: 0.9000, loss_cls: 5.5797, loss: 5.5797 +2025-06-02 16:32:19,666 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-06-02 16:32:48,689 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 16:32:48,759 - pyskl - INFO - +top1_acc 0.3472 +top5_acc 0.6074 +2025-06-02 16:32:48,759 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 16:32:48,769 - pyskl - INFO - +mean_acc 0.3482 +2025-06-02 16:32:48,771 - pyskl - INFO - Epoch(val) [49][198] top1_acc: 0.3472, top5_acc: 0.6074, mean_class_accuracy: 0.3482 +2025-06-02 16:33:57,172 - pyskl - INFO - Epoch [50][100/523] lr: 4.676e-02, eta: 17:06:46, time: 0.684, data_time: 0.261, memory: 7964, top1_acc: 0.6703, top5_acc: 0.9194, loss_cls: 5.3672, loss: 5.3672 +2025-06-02 16:34:40,338 - pyskl - INFO - Epoch [50][200/523] lr: 4.673e-02, eta: 17:05:40, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6394, top5_acc: 0.9031, loss_cls: 5.5773, loss: 5.5773 +2025-06-02 16:35:24,309 - pyskl - INFO - Epoch [50][300/523] lr: 4.671e-02, eta: 17:04:38, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6397, top5_acc: 0.9091, loss_cls: 5.5596, loss: 5.5596 +2025-06-02 16:36:08,254 - pyskl - INFO - Epoch [50][400/523] lr: 4.668e-02, eta: 17:03:36, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6309, top5_acc: 0.9022, loss_cls: 5.6160, loss: 5.6160 +2025-06-02 16:36:52,349 - pyskl - INFO - Epoch [50][500/523] lr: 4.666e-02, eta: 17:02:35, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6338, top5_acc: 0.9047, loss_cls: 5.6588, loss: 5.6588 +2025-06-02 16:37:02,680 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-06-02 16:58:03,396 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 16:58:03,465 - pyskl - INFO - +top1_acc 0.3496 +top5_acc 0.5966 +2025-06-02 16:58:03,465 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 16:58:03,473 - pyskl - INFO - +mean_acc 0.3485 +2025-06-02 16:58:03,475 - pyskl - INFO - Epoch(val) [50][198] top1_acc: 0.3496, top5_acc: 0.5966, mean_class_accuracy: 0.3485 +2025-06-02 16:59:13,198 - pyskl - INFO - Epoch [51][100/523] lr: 4.663e-02, eta: 17:02:37, time: 0.697, data_time: 0.254, memory: 7964, top1_acc: 0.6641, top5_acc: 0.9084, loss_cls: 5.5340, loss: 5.5340 +2025-06-02 16:59:57,121 - pyskl - INFO - Epoch [51][200/523] lr: 4.660e-02, eta: 17:01:35, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6556, top5_acc: 0.9156, loss_cls: 5.5171, loss: 5.5171 +2025-06-02 17:00:41,223 - pyskl - INFO - Epoch [51][300/523] lr: 4.658e-02, eta: 17:00:34, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6472, top5_acc: 0.9087, loss_cls: 5.5225, loss: 5.5225 +2025-06-02 17:01:24,304 - pyskl - INFO - Epoch [51][400/523] lr: 4.655e-02, eta: 16:59:28, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6431, top5_acc: 0.9113, loss_cls: 5.5438, loss: 5.5438 +2025-06-02 17:02:08,535 - pyskl - INFO - Epoch [51][500/523] lr: 4.652e-02, eta: 16:58:28, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6297, top5_acc: 0.9050, loss_cls: 5.6167, loss: 5.6167 +2025-06-02 17:02:19,429 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-06-02 17:02:47,752 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:02:47,821 - pyskl - INFO - +top1_acc 0.3628 +top5_acc 0.6074 +2025-06-02 17:02:47,822 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:02:47,829 - pyskl - INFO - +mean_acc 0.3622 +2025-06-02 17:02:47,831 - pyskl - INFO - Epoch(val) [51][198] top1_acc: 0.3628, top5_acc: 0.6074, mean_class_accuracy: 0.3622 +2025-06-02 17:03:57,564 - pyskl - INFO - Epoch [52][100/523] lr: 4.649e-02, eta: 16:58:28, time: 0.697, data_time: 0.255, memory: 7964, top1_acc: 0.6703, top5_acc: 0.9169, loss_cls: 5.4501, loss: 5.4501 +2025-06-02 17:04:41,902 - pyskl - INFO - Epoch [52][200/523] lr: 4.647e-02, eta: 16:57:29, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6519, top5_acc: 0.9106, loss_cls: 5.5149, loss: 5.5149 +2025-06-02 17:05:25,609 - pyskl - INFO - Epoch [52][300/523] lr: 4.644e-02, eta: 16:56:26, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6594, top5_acc: 0.9125, loss_cls: 5.5551, loss: 5.5551 +2025-06-02 17:06:08,977 - pyskl - INFO - Epoch [52][400/523] lr: 4.642e-02, eta: 16:55:22, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6431, top5_acc: 0.9066, loss_cls: 5.5678, loss: 5.5678 +2025-06-02 17:06:52,131 - pyskl - INFO - Epoch [52][500/523] lr: 4.639e-02, eta: 16:54:17, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6384, top5_acc: 0.8994, loss_cls: 5.5872, loss: 5.5872 +2025-06-02 17:07:02,923 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-06-02 17:07:31,178 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:07:31,247 - pyskl - INFO - +top1_acc 0.3767 +top5_acc 0.6250 +2025-06-02 17:07:31,247 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:07:31,254 - pyskl - INFO - +mean_acc 0.3757 +2025-06-02 17:07:31,328 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_40.pth was removed +2025-06-02 17:07:32,824 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth. +2025-06-02 17:07:32,825 - pyskl - INFO - Best top1_acc is 0.3767 at 52 epoch. +2025-06-02 17:07:32,827 - pyskl - INFO - Epoch(val) [52][198] top1_acc: 0.3767, top5_acc: 0.6250, mean_class_accuracy: 0.3757 +2025-06-02 17:08:41,169 - pyskl - INFO - Epoch [53][100/523] lr: 4.636e-02, eta: 16:54:10, time: 0.683, data_time: 0.255, memory: 7964, top1_acc: 0.6538, top5_acc: 0.9231, loss_cls: 5.5248, loss: 5.5248 +2025-06-02 17:09:25,694 - pyskl - INFO - Epoch [53][200/523] lr: 4.633e-02, eta: 16:53:11, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6700, top5_acc: 0.9237, loss_cls: 5.4850, loss: 5.4850 +2025-06-02 17:10:08,990 - pyskl - INFO - Epoch [53][300/523] lr: 4.631e-02, eta: 16:52:07, time: 0.433, data_time: 0.001, memory: 7964, top1_acc: 0.6541, top5_acc: 0.9172, loss_cls: 5.4771, loss: 5.4771 +2025-06-02 17:10:51,928 - pyskl - INFO - Epoch [53][400/523] lr: 4.628e-02, eta: 16:51:02, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6406, top5_acc: 0.9100, loss_cls: 5.5540, loss: 5.5540 +2025-06-02 17:11:36,161 - pyskl - INFO - Epoch [53][500/523] lr: 4.625e-02, eta: 16:50:02, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6431, top5_acc: 0.9062, loss_cls: 5.6170, loss: 5.6170 +2025-06-02 17:11:46,867 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-06-02 17:12:14,918 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:12:14,988 - pyskl - INFO - +top1_acc 0.3410 +top5_acc 0.5965 +2025-06-02 17:12:14,989 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:12:14,996 - pyskl - INFO - +mean_acc 0.3412 +2025-06-02 17:12:14,998 - pyskl - INFO - Epoch(val) [53][198] top1_acc: 0.3410, top5_acc: 0.5965, mean_class_accuracy: 0.3412 +2025-06-02 17:13:24,653 - pyskl - INFO - Epoch [54][100/523] lr: 4.622e-02, eta: 16:50:00, time: 0.696, data_time: 0.252, memory: 7964, top1_acc: 0.6831, top5_acc: 0.9228, loss_cls: 5.3827, loss: 5.3827 +2025-06-02 17:14:09,037 - pyskl - INFO - Epoch [54][200/523] lr: 4.619e-02, eta: 16:49:01, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6425, top5_acc: 0.9128, loss_cls: 5.5390, loss: 5.5390 +2025-06-02 17:14:53,008 - pyskl - INFO - Epoch [54][300/523] lr: 4.617e-02, eta: 16:48:01, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6512, top5_acc: 0.9119, loss_cls: 5.5284, loss: 5.5284 +2025-06-02 17:15:35,781 - pyskl - INFO - Epoch [54][400/523] lr: 4.614e-02, eta: 16:46:55, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6531, top5_acc: 0.9075, loss_cls: 5.5086, loss: 5.5086 +2025-06-02 17:16:19,608 - pyskl - INFO - Epoch [54][500/523] lr: 4.611e-02, eta: 16:45:54, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6469, top5_acc: 0.9012, loss_cls: 5.5309, loss: 5.5309 +2025-06-02 17:16:30,384 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-06-02 17:16:58,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:16:58,352 - pyskl - INFO - +top1_acc 0.3455 +top5_acc 0.5892 +2025-06-02 17:16:58,353 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:16:58,360 - pyskl - INFO - +mean_acc 0.3463 +2025-06-02 17:16:58,361 - pyskl - INFO - Epoch(val) [54][198] top1_acc: 0.3455, top5_acc: 0.5892, mean_class_accuracy: 0.3463 +2025-06-02 17:18:08,551 - pyskl - INFO - Epoch [55][100/523] lr: 4.608e-02, eta: 16:45:53, time: 0.702, data_time: 0.253, memory: 7964, top1_acc: 0.6672, top5_acc: 0.9147, loss_cls: 5.3903, loss: 5.3903 +2025-06-02 17:18:53,106 - pyskl - INFO - Epoch [55][200/523] lr: 4.605e-02, eta: 16:44:55, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.6684, top5_acc: 0.9184, loss_cls: 5.4952, loss: 5.4952 +2025-06-02 17:19:36,456 - pyskl - INFO - Epoch [55][300/523] lr: 4.603e-02, eta: 16:43:52, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6591, top5_acc: 0.9234, loss_cls: 5.4529, loss: 5.4529 +2025-06-02 17:20:19,709 - pyskl - INFO - Epoch [55][400/523] lr: 4.600e-02, eta: 16:42:49, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6462, top5_acc: 0.9106, loss_cls: 5.5552, loss: 5.5552 +2025-06-02 17:21:03,466 - pyskl - INFO - Epoch [55][500/523] lr: 4.597e-02, eta: 16:41:48, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6525, top5_acc: 0.9109, loss_cls: 5.5286, loss: 5.5286 +2025-06-02 17:21:14,098 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-06-02 17:21:42,028 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:21:42,097 - pyskl - INFO - +top1_acc 0.3642 +top5_acc 0.5985 +2025-06-02 17:21:42,098 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:21:42,104 - pyskl - INFO - +mean_acc 0.3616 +2025-06-02 17:21:42,106 - pyskl - INFO - Epoch(val) [55][198] top1_acc: 0.3642, top5_acc: 0.5985, mean_class_accuracy: 0.3616 +2025-06-02 17:22:52,002 - pyskl - INFO - Epoch [56][100/523] lr: 4.594e-02, eta: 16:41:44, time: 0.699, data_time: 0.258, memory: 7964, top1_acc: 0.6787, top5_acc: 0.9169, loss_cls: 5.4659, loss: 5.4659 +2025-06-02 17:23:36,405 - pyskl - INFO - Epoch [56][200/523] lr: 4.591e-02, eta: 16:40:46, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6700, top5_acc: 0.9147, loss_cls: 5.4539, loss: 5.4539 +2025-06-02 17:24:20,672 - pyskl - INFO - Epoch [56][300/523] lr: 4.588e-02, eta: 16:39:47, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6653, top5_acc: 0.9159, loss_cls: 5.4392, loss: 5.4392 +2025-06-02 17:25:04,043 - pyskl - INFO - Epoch [56][400/523] lr: 4.586e-02, eta: 16:38:45, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6522, top5_acc: 0.9153, loss_cls: 5.5418, loss: 5.5418 +2025-06-02 17:25:48,148 - pyskl - INFO - Epoch [56][500/523] lr: 4.583e-02, eta: 16:37:45, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6459, top5_acc: 0.9066, loss_cls: 5.5155, loss: 5.5155 +2025-06-02 17:25:58,904 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-06-02 17:26:26,808 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:26:26,877 - pyskl - INFO - +top1_acc 0.3767 +top5_acc 0.6206 +2025-06-02 17:26:26,877 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:26:26,883 - pyskl - INFO - +mean_acc 0.3755 +2025-06-02 17:26:26,885 - pyskl - INFO - Epoch(val) [56][198] top1_acc: 0.3767, top5_acc: 0.6206, mean_class_accuracy: 0.3755 +2025-06-02 17:27:36,026 - pyskl - INFO - Epoch [57][100/523] lr: 4.580e-02, eta: 16:37:37, time: 0.691, data_time: 0.252, memory: 7964, top1_acc: 0.6681, top5_acc: 0.9191, loss_cls: 5.4154, loss: 5.4154 +2025-06-02 17:28:20,187 - pyskl - INFO - Epoch [57][200/523] lr: 4.577e-02, eta: 16:36:38, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6687, top5_acc: 0.9075, loss_cls: 5.5420, loss: 5.5420 +2025-06-02 17:29:03,886 - pyskl - INFO - Epoch [57][300/523] lr: 4.574e-02, eta: 16:35:38, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6534, top5_acc: 0.9197, loss_cls: 5.4360, loss: 5.4360 +2025-06-02 17:29:47,445 - pyskl - INFO - Epoch [57][400/523] lr: 4.571e-02, eta: 16:34:36, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6503, top5_acc: 0.9103, loss_cls: 5.5399, loss: 5.5399 +2025-06-02 17:30:31,727 - pyskl - INFO - Epoch [57][500/523] lr: 4.568e-02, eta: 16:33:38, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6406, top5_acc: 0.9009, loss_cls: 5.5343, loss: 5.5343 +2025-06-02 17:30:42,584 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-06-02 17:31:10,862 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:31:10,931 - pyskl - INFO - +top1_acc 0.3666 +top5_acc 0.6222 +2025-06-02 17:31:10,931 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:31:10,939 - pyskl - INFO - +mean_acc 0.3661 +2025-06-02 17:31:10,940 - pyskl - INFO - Epoch(val) [57][198] top1_acc: 0.3666, top5_acc: 0.6222, mean_class_accuracy: 0.3661 +2025-06-02 17:32:19,452 - pyskl - INFO - Epoch [58][100/523] lr: 4.565e-02, eta: 16:33:26, time: 0.685, data_time: 0.253, memory: 7964, top1_acc: 0.6737, top5_acc: 0.9250, loss_cls: 5.3474, loss: 5.3474 +2025-06-02 17:33:03,560 - pyskl - INFO - Epoch [58][200/523] lr: 4.562e-02, eta: 16:32:27, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6650, top5_acc: 0.9116, loss_cls: 5.5140, loss: 5.5140 +2025-06-02 17:33:47,434 - pyskl - INFO - Epoch [58][300/523] lr: 4.559e-02, eta: 16:31:28, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6609, top5_acc: 0.9191, loss_cls: 5.4312, loss: 5.4312 +2025-06-02 17:34:30,330 - pyskl - INFO - Epoch [58][400/523] lr: 4.556e-02, eta: 16:30:24, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6503, top5_acc: 0.9172, loss_cls: 5.5485, loss: 5.5485 +2025-06-02 17:35:13,317 - pyskl - INFO - Epoch [58][500/523] lr: 4.554e-02, eta: 16:29:21, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.6469, top5_acc: 0.9106, loss_cls: 5.5481, loss: 5.5481 +2025-06-02 17:35:24,040 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-06-02 17:35:52,033 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:35:52,101 - pyskl - INFO - +top1_acc 0.3742 +top5_acc 0.6169 +2025-06-02 17:35:52,102 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:35:52,109 - pyskl - INFO - +mean_acc 0.3753 +2025-06-02 17:35:52,110 - pyskl - INFO - Epoch(val) [58][198] top1_acc: 0.3742, top5_acc: 0.6169, mean_class_accuracy: 0.3753 +2025-06-02 17:37:02,172 - pyskl - INFO - Epoch [59][100/523] lr: 4.550e-02, eta: 16:29:14, time: 0.701, data_time: 0.256, memory: 7964, top1_acc: 0.6909, top5_acc: 0.9266, loss_cls: 5.2797, loss: 5.2797 +2025-06-02 17:37:46,769 - pyskl - INFO - Epoch [59][200/523] lr: 4.547e-02, eta: 16:28:18, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.6637, top5_acc: 0.9159, loss_cls: 5.4317, loss: 5.4317 +2025-06-02 17:38:30,779 - pyskl - INFO - Epoch [59][300/523] lr: 4.544e-02, eta: 16:27:19, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6600, top5_acc: 0.9163, loss_cls: 5.5469, loss: 5.5469 +2025-06-02 17:39:14,116 - pyskl - INFO - Epoch [59][400/523] lr: 4.541e-02, eta: 16:26:17, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6634, top5_acc: 0.9228, loss_cls: 5.3744, loss: 5.3744 +2025-06-02 17:39:58,066 - pyskl - INFO - Epoch [59][500/523] lr: 4.539e-02, eta: 16:25:18, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6484, top5_acc: 0.9231, loss_cls: 5.4888, loss: 5.4888 +2025-06-02 17:40:08,880 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-06-02 17:40:37,081 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:40:37,152 - pyskl - INFO - +top1_acc 0.3230 +top5_acc 0.5790 +2025-06-02 17:40:37,152 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:40:37,160 - pyskl - INFO - +mean_acc 0.3231 +2025-06-02 17:40:37,161 - pyskl - INFO - Epoch(val) [59][198] top1_acc: 0.3230, top5_acc: 0.5790, mean_class_accuracy: 0.3231 +2025-06-02 17:41:46,635 - pyskl - INFO - Epoch [60][100/523] lr: 4.535e-02, eta: 16:25:08, time: 0.695, data_time: 0.253, memory: 7964, top1_acc: 0.6763, top5_acc: 0.9178, loss_cls: 5.3560, loss: 5.3560 +2025-06-02 17:42:30,789 - pyskl - INFO - Epoch [60][200/523] lr: 4.532e-02, eta: 16:24:10, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6713, top5_acc: 0.9209, loss_cls: 5.3925, loss: 5.3925 +2025-06-02 17:43:14,463 - pyskl - INFO - Epoch [60][300/523] lr: 4.529e-02, eta: 16:23:10, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6691, top5_acc: 0.9147, loss_cls: 5.4025, loss: 5.4025 +2025-06-02 17:43:58,063 - pyskl - INFO - Epoch [60][400/523] lr: 4.526e-02, eta: 16:22:10, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6709, top5_acc: 0.9150, loss_cls: 5.4075, loss: 5.4075 +2025-06-02 17:44:41,756 - pyskl - INFO - Epoch [60][500/523] lr: 4.523e-02, eta: 16:21:10, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6684, top5_acc: 0.9106, loss_cls: 5.4289, loss: 5.4289 +2025-06-02 17:44:52,620 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-06-02 17:45:21,106 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:45:21,174 - pyskl - INFO - +top1_acc 0.3659 +top5_acc 0.5922 +2025-06-02 17:45:21,175 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:45:21,181 - pyskl - INFO - +mean_acc 0.3649 +2025-06-02 17:45:21,183 - pyskl - INFO - Epoch(val) [60][198] top1_acc: 0.3659, top5_acc: 0.5922, mean_class_accuracy: 0.3649 +2025-06-02 17:46:30,667 - pyskl - INFO - Epoch [61][100/523] lr: 4.520e-02, eta: 16:21:00, time: 0.695, data_time: 0.253, memory: 7964, top1_acc: 0.6872, top5_acc: 0.9228, loss_cls: 5.2911, loss: 5.2911 +2025-06-02 17:47:14,752 - pyskl - INFO - Epoch [61][200/523] lr: 4.517e-02, eta: 16:20:01, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6681, top5_acc: 0.9222, loss_cls: 5.4368, loss: 5.4368 +2025-06-02 17:47:57,982 - pyskl - INFO - Epoch [61][300/523] lr: 4.514e-02, eta: 16:19:00, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6687, top5_acc: 0.9166, loss_cls: 5.3954, loss: 5.3954 +2025-06-02 17:48:41,899 - pyskl - INFO - Epoch [61][400/523] lr: 4.511e-02, eta: 16:18:01, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6591, top5_acc: 0.9169, loss_cls: 5.4016, loss: 5.4016 +2025-06-02 17:49:26,160 - pyskl - INFO - Epoch [61][500/523] lr: 4.508e-02, eta: 16:17:04, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6781, top5_acc: 0.9266, loss_cls: 5.3856, loss: 5.3856 +2025-06-02 17:49:36,934 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-06-02 17:50:05,379 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:50:05,448 - pyskl - INFO - +top1_acc 0.3572 +top5_acc 0.6047 +2025-06-02 17:50:05,448 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:50:05,455 - pyskl - INFO - +mean_acc 0.3566 +2025-06-02 17:50:05,460 - pyskl - INFO - Epoch(val) [61][198] top1_acc: 0.3572, top5_acc: 0.6047, mean_class_accuracy: 0.3566 +2025-06-02 17:51:14,597 - pyskl - INFO - Epoch [62][100/523] lr: 4.504e-02, eta: 16:16:51, time: 0.691, data_time: 0.254, memory: 7964, top1_acc: 0.6834, top5_acc: 0.9269, loss_cls: 5.3682, loss: 5.3682 +2025-06-02 17:51:59,043 - pyskl - INFO - Epoch [62][200/523] lr: 4.501e-02, eta: 16:15:54, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6875, top5_acc: 0.9278, loss_cls: 5.3415, loss: 5.3415 +2025-06-02 17:52:42,293 - pyskl - INFO - Epoch [62][300/523] lr: 4.498e-02, eta: 16:14:53, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6709, top5_acc: 0.9100, loss_cls: 5.3986, loss: 5.3986 +2025-06-02 17:53:25,964 - pyskl - INFO - Epoch [62][400/523] lr: 4.495e-02, eta: 16:13:54, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6637, top5_acc: 0.9172, loss_cls: 5.4721, loss: 5.4721 +2025-06-02 17:54:09,409 - pyskl - INFO - Epoch [62][500/523] lr: 4.492e-02, eta: 16:12:54, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6587, top5_acc: 0.9153, loss_cls: 5.4412, loss: 5.4412 +2025-06-02 17:54:20,191 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-06-02 17:54:48,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:54:48,309 - pyskl - INFO - +top1_acc 0.3751 +top5_acc 0.6147 +2025-06-02 17:54:48,309 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:54:48,316 - pyskl - INFO - +mean_acc 0.3738 +2025-06-02 17:54:48,318 - pyskl - INFO - Epoch(val) [62][198] top1_acc: 0.3751, top5_acc: 0.6147, mean_class_accuracy: 0.3738 +2025-06-02 17:55:56,490 - pyskl - INFO - Epoch [63][100/523] lr: 4.488e-02, eta: 16:12:36, time: 0.682, data_time: 0.256, memory: 7964, top1_acc: 0.6897, top5_acc: 0.9163, loss_cls: 5.3868, loss: 5.3868 +2025-06-02 17:56:40,570 - pyskl - INFO - Epoch [63][200/523] lr: 4.485e-02, eta: 16:11:38, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6884, top5_acc: 0.9234, loss_cls: 5.1313, loss: 5.1313 +2025-06-02 17:57:24,113 - pyskl - INFO - Epoch [63][300/523] lr: 4.482e-02, eta: 16:10:39, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6663, top5_acc: 0.9228, loss_cls: 5.3978, loss: 5.3978 +2025-06-02 17:58:07,948 - pyskl - INFO - Epoch [63][400/523] lr: 4.479e-02, eta: 16:09:40, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6519, top5_acc: 0.9144, loss_cls: 5.4686, loss: 5.4686 +2025-06-02 17:58:52,131 - pyskl - INFO - Epoch [63][500/523] lr: 4.476e-02, eta: 16:08:43, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6656, top5_acc: 0.9213, loss_cls: 5.4434, loss: 5.4434 +2025-06-02 17:59:02,895 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-06-02 17:59:31,187 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 17:59:31,258 - pyskl - INFO - +top1_acc 0.3736 +top5_acc 0.6119 +2025-06-02 17:59:31,259 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 17:59:31,267 - pyskl - INFO - +mean_acc 0.3723 +2025-06-02 17:59:31,268 - pyskl - INFO - Epoch(val) [63][198] top1_acc: 0.3736, top5_acc: 0.6119, mean_class_accuracy: 0.3723 +2025-06-02 18:00:41,525 - pyskl - INFO - Epoch [64][100/523] lr: 4.472e-02, eta: 16:08:33, time: 0.703, data_time: 0.258, memory: 7964, top1_acc: 0.6806, top5_acc: 0.9316, loss_cls: 5.2395, loss: 5.2395 +2025-06-02 18:01:25,839 - pyskl - INFO - Epoch [64][200/523] lr: 4.469e-02, eta: 16:07:36, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6775, top5_acc: 0.9200, loss_cls: 5.3577, loss: 5.3577 +2025-06-02 18:02:09,066 - pyskl - INFO - Epoch [64][300/523] lr: 4.466e-02, eta: 16:06:35, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6763, top5_acc: 0.9200, loss_cls: 5.4185, loss: 5.4185 +2025-06-02 18:02:53,227 - pyskl - INFO - Epoch [64][400/523] lr: 4.463e-02, eta: 16:05:38, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6628, top5_acc: 0.9084, loss_cls: 5.4745, loss: 5.4745 +2025-06-02 18:03:37,510 - pyskl - INFO - Epoch [64][500/523] lr: 4.460e-02, eta: 16:04:42, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6559, top5_acc: 0.9144, loss_cls: 5.5084, loss: 5.5084 +2025-06-02 18:03:48,392 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-06-02 18:04:16,495 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:04:16,566 - pyskl - INFO - +top1_acc 0.3875 +top5_acc 0.6257 +2025-06-02 18:04:16,566 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:04:16,574 - pyskl - INFO - +mean_acc 0.3877 +2025-06-02 18:04:16,631 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_52.pth was removed +2025-06-02 18:04:18,141 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_64.pth. +2025-06-02 18:04:18,143 - pyskl - INFO - Best top1_acc is 0.3875 at 64 epoch. +2025-06-02 18:04:18,145 - pyskl - INFO - Epoch(val) [64][198] top1_acc: 0.3875, top5_acc: 0.6257, mean_class_accuracy: 0.3877 +2025-06-02 18:05:27,579 - pyskl - INFO - Epoch [65][100/523] lr: 4.456e-02, eta: 16:04:27, time: 0.694, data_time: 0.252, memory: 7964, top1_acc: 0.7003, top5_acc: 0.9322, loss_cls: 5.2141, loss: 5.2141 +2025-06-02 18:06:11,686 - pyskl - INFO - Epoch [65][200/523] lr: 4.453e-02, eta: 16:03:30, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6981, top5_acc: 0.9341, loss_cls: 5.2286, loss: 5.2286 +2025-06-02 18:06:55,253 - pyskl - INFO - Epoch [65][300/523] lr: 4.450e-02, eta: 16:02:31, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6613, top5_acc: 0.9194, loss_cls: 5.3884, loss: 5.3884 +2025-06-02 18:07:38,878 - pyskl - INFO - Epoch [65][400/523] lr: 4.447e-02, eta: 16:01:32, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6591, top5_acc: 0.9137, loss_cls: 5.4631, loss: 5.4631 +2025-06-02 18:08:22,711 - pyskl - INFO - Epoch [65][500/523] lr: 4.444e-02, eta: 16:00:34, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6562, top5_acc: 0.9106, loss_cls: 5.4647, loss: 5.4647 +2025-06-02 18:08:33,450 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-06-02 18:09:01,446 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:09:01,516 - pyskl - INFO - +top1_acc 0.3742 +top5_acc 0.6071 +2025-06-02 18:09:01,516 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:09:01,527 - pyskl - INFO - +mean_acc 0.3747 +2025-06-02 18:09:01,528 - pyskl - INFO - Epoch(val) [65][198] top1_acc: 0.3742, top5_acc: 0.6071, mean_class_accuracy: 0.3747 +2025-06-02 18:10:11,162 - pyskl - INFO - Epoch [66][100/523] lr: 4.440e-02, eta: 16:00:19, time: 0.696, data_time: 0.252, memory: 7964, top1_acc: 0.7047, top5_acc: 0.9353, loss_cls: 5.1341, loss: 5.1341 +2025-06-02 18:10:55,510 - pyskl - INFO - Epoch [66][200/523] lr: 4.437e-02, eta: 15:59:23, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6684, top5_acc: 0.9203, loss_cls: 5.3954, loss: 5.3954 +2025-06-02 18:11:38,885 - pyskl - INFO - Epoch [66][300/523] lr: 4.433e-02, eta: 15:58:24, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6659, top5_acc: 0.9134, loss_cls: 5.3821, loss: 5.3821 +2025-06-02 18:12:22,632 - pyskl - INFO - Epoch [66][400/523] lr: 4.430e-02, eta: 15:57:26, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6744, top5_acc: 0.9225, loss_cls: 5.3312, loss: 5.3312 +2025-06-02 18:13:06,737 - pyskl - INFO - Epoch [66][500/523] lr: 4.427e-02, eta: 15:56:29, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6725, top5_acc: 0.9209, loss_cls: 5.3891, loss: 5.3891 +2025-06-02 18:13:17,524 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-06-02 18:13:45,581 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:13:45,652 - pyskl - INFO - +top1_acc 0.3659 +top5_acc 0.6057 +2025-06-02 18:13:45,652 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:13:45,660 - pyskl - INFO - +mean_acc 0.3654 +2025-06-02 18:13:45,661 - pyskl - INFO - Epoch(val) [66][198] top1_acc: 0.3659, top5_acc: 0.6057, mean_class_accuracy: 0.3654 +2025-06-02 18:14:55,354 - pyskl - INFO - Epoch [67][100/523] lr: 4.423e-02, eta: 15:56:14, time: 0.697, data_time: 0.254, memory: 7964, top1_acc: 0.6900, top5_acc: 0.9300, loss_cls: 5.2459, loss: 5.2459 +2025-06-02 18:15:39,570 - pyskl - INFO - Epoch [67][200/523] lr: 4.420e-02, eta: 15:55:17, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6881, top5_acc: 0.9213, loss_cls: 5.3207, loss: 5.3207 +2025-06-02 18:16:22,936 - pyskl - INFO - Epoch [67][300/523] lr: 4.417e-02, eta: 15:54:18, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6694, top5_acc: 0.9197, loss_cls: 5.4134, loss: 5.4134 +2025-06-02 18:17:06,544 - pyskl - INFO - Epoch [67][400/523] lr: 4.413e-02, eta: 15:53:19, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6562, top5_acc: 0.9178, loss_cls: 5.4443, loss: 5.4443 +2025-06-02 18:17:50,038 - pyskl - INFO - Epoch [67][500/523] lr: 4.410e-02, eta: 15:52:21, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6756, top5_acc: 0.9175, loss_cls: 5.3855, loss: 5.3855 +2025-06-02 18:18:00,668 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-06-02 18:18:28,920 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:18:28,988 - pyskl - INFO - +top1_acc 0.3759 +top5_acc 0.6142 +2025-06-02 18:18:28,988 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:18:28,996 - pyskl - INFO - +mean_acc 0.3753 +2025-06-02 18:18:28,997 - pyskl - INFO - Epoch(val) [67][198] top1_acc: 0.3759, top5_acc: 0.6142, mean_class_accuracy: 0.3753 +2025-06-02 18:19:38,662 - pyskl - INFO - Epoch [68][100/523] lr: 4.406e-02, eta: 15:52:05, time: 0.697, data_time: 0.254, memory: 7964, top1_acc: 0.7053, top5_acc: 0.9381, loss_cls: 5.1411, loss: 5.1411 +2025-06-02 18:20:23,035 - pyskl - INFO - Epoch [68][200/523] lr: 4.403e-02, eta: 15:51:09, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6925, top5_acc: 0.9253, loss_cls: 5.2039, loss: 5.2039 +2025-06-02 18:21:06,155 - pyskl - INFO - Epoch [68][300/523] lr: 4.400e-02, eta: 15:50:09, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.6772, top5_acc: 0.9184, loss_cls: 5.3647, loss: 5.3647 +2025-06-02 18:21:50,248 - pyskl - INFO - Epoch [68][400/523] lr: 4.397e-02, eta: 15:49:12, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6822, top5_acc: 0.9159, loss_cls: 5.3683, loss: 5.3683 +2025-06-02 18:22:34,192 - pyskl - INFO - Epoch [68][500/523] lr: 4.393e-02, eta: 15:48:15, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6644, top5_acc: 0.9141, loss_cls: 5.4305, loss: 5.4305 +2025-06-02 18:22:44,987 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-06-02 18:23:13,241 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:23:13,309 - pyskl - INFO - +top1_acc 0.3577 +top5_acc 0.6019 +2025-06-02 18:23:13,309 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:23:13,316 - pyskl - INFO - +mean_acc 0.3562 +2025-06-02 18:23:13,318 - pyskl - INFO - Epoch(val) [68][198] top1_acc: 0.3577, top5_acc: 0.6019, mean_class_accuracy: 0.3562 +2025-06-02 18:24:23,001 - pyskl - INFO - Epoch [69][100/523] lr: 4.389e-02, eta: 15:47:59, time: 0.697, data_time: 0.256, memory: 7964, top1_acc: 0.6906, top5_acc: 0.9300, loss_cls: 5.3198, loss: 5.3198 +2025-06-02 18:25:07,490 - pyskl - INFO - Epoch [69][200/523] lr: 4.386e-02, eta: 15:47:03, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6919, top5_acc: 0.9241, loss_cls: 5.2911, loss: 5.2911 +2025-06-02 18:25:50,831 - pyskl - INFO - Epoch [69][300/523] lr: 4.383e-02, eta: 15:46:05, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.6894, top5_acc: 0.9275, loss_cls: 5.2961, loss: 5.2961 +2025-06-02 18:26:32,988 - pyskl - INFO - Epoch [69][400/523] lr: 4.379e-02, eta: 15:45:02, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.6628, top5_acc: 0.9187, loss_cls: 5.2625, loss: 5.2625 +2025-06-02 18:27:16,889 - pyskl - INFO - Epoch [69][500/523] lr: 4.376e-02, eta: 15:44:05, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6659, top5_acc: 0.9156, loss_cls: 5.3512, loss: 5.3512 +2025-06-02 18:27:27,841 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-06-02 18:27:56,397 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:27:56,468 - pyskl - INFO - +top1_acc 0.3707 +top5_acc 0.6042 +2025-06-02 18:27:56,468 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:27:56,476 - pyskl - INFO - +mean_acc 0.3698 +2025-06-02 18:27:56,478 - pyskl - INFO - Epoch(val) [69][198] top1_acc: 0.3707, top5_acc: 0.6042, mean_class_accuracy: 0.3698 +2025-06-02 18:29:06,027 - pyskl - INFO - Epoch [70][100/523] lr: 4.372e-02, eta: 15:43:47, time: 0.695, data_time: 0.256, memory: 7964, top1_acc: 0.7013, top5_acc: 0.9369, loss_cls: 5.1901, loss: 5.1901 +2025-06-02 18:29:50,171 - pyskl - INFO - Epoch [70][200/523] lr: 4.369e-02, eta: 15:42:51, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7081, top5_acc: 0.9294, loss_cls: 5.1893, loss: 5.1893 +2025-06-02 18:30:34,004 - pyskl - INFO - Epoch [70][300/523] lr: 4.365e-02, eta: 15:41:54, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6663, top5_acc: 0.9225, loss_cls: 5.4524, loss: 5.4524 +2025-06-02 18:31:17,487 - pyskl - INFO - Epoch [70][400/523] lr: 4.362e-02, eta: 15:40:55, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6787, top5_acc: 0.9213, loss_cls: 5.4083, loss: 5.4083 +2025-06-02 18:32:01,293 - pyskl - INFO - Epoch [70][500/523] lr: 4.359e-02, eta: 15:39:58, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6844, top5_acc: 0.9209, loss_cls: 5.3484, loss: 5.3484 +2025-06-02 18:32:12,004 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-06-02 18:32:40,259 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:32:40,328 - pyskl - INFO - +top1_acc 0.3756 +top5_acc 0.6241 +2025-06-02 18:32:40,328 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:32:40,337 - pyskl - INFO - +mean_acc 0.3758 +2025-06-02 18:32:40,338 - pyskl - INFO - Epoch(val) [70][198] top1_acc: 0.3756, top5_acc: 0.6241, mean_class_accuracy: 0.3758 +2025-06-02 18:33:50,484 - pyskl - INFO - Epoch [71][100/523] lr: 4.355e-02, eta: 15:39:42, time: 0.701, data_time: 0.256, memory: 7964, top1_acc: 0.7034, top5_acc: 0.9372, loss_cls: 5.0625, loss: 5.0625 +2025-06-02 18:34:33,886 - pyskl - INFO - Epoch [71][200/523] lr: 4.351e-02, eta: 15:38:43, time: 0.434, data_time: 0.001, memory: 7964, top1_acc: 0.6847, top5_acc: 0.9172, loss_cls: 5.3173, loss: 5.3173 +2025-06-02 18:35:17,566 - pyskl - INFO - Epoch [71][300/523] lr: 4.348e-02, eta: 15:37:46, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6725, top5_acc: 0.9244, loss_cls: 5.1954, loss: 5.1954 +2025-06-02 18:36:01,272 - pyskl - INFO - Epoch [71][400/523] lr: 4.344e-02, eta: 15:36:49, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6772, top5_acc: 0.9203, loss_cls: 5.3370, loss: 5.3370 +2025-06-02 18:36:45,515 - pyskl - INFO - Epoch [71][500/523] lr: 4.341e-02, eta: 15:35:53, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6731, top5_acc: 0.9247, loss_cls: 5.4212, loss: 5.4212 +2025-06-02 18:36:56,380 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-06-02 18:37:24,532 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:37:24,602 - pyskl - INFO - +top1_acc 0.3607 +top5_acc 0.5971 +2025-06-02 18:37:24,602 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:37:24,610 - pyskl - INFO - +mean_acc 0.3609 +2025-06-02 18:37:24,611 - pyskl - INFO - Epoch(val) [71][198] top1_acc: 0.3607, top5_acc: 0.5971, mean_class_accuracy: 0.3609 +2025-06-02 18:38:34,297 - pyskl - INFO - Epoch [72][100/523] lr: 4.337e-02, eta: 15:35:34, time: 0.697, data_time: 0.257, memory: 7964, top1_acc: 0.7166, top5_acc: 0.9387, loss_cls: 5.1345, loss: 5.1345 +2025-06-02 18:39:18,325 - pyskl - INFO - Epoch [72][200/523] lr: 4.333e-02, eta: 15:34:38, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6919, top5_acc: 0.9297, loss_cls: 5.2427, loss: 5.2427 +2025-06-02 18:40:01,926 - pyskl - INFO - Epoch [72][300/523] lr: 4.330e-02, eta: 15:33:41, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6813, top5_acc: 0.9309, loss_cls: 5.3170, loss: 5.3170 +2025-06-02 18:40:45,807 - pyskl - INFO - Epoch [72][400/523] lr: 4.327e-02, eta: 15:32:44, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6722, top5_acc: 0.9287, loss_cls: 5.3039, loss: 5.3039 +2025-06-02 18:41:29,867 - pyskl - INFO - Epoch [72][500/523] lr: 4.323e-02, eta: 15:31:48, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6694, top5_acc: 0.9159, loss_cls: 5.4412, loss: 5.4412 +2025-06-02 18:41:40,644 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-06-02 18:42:09,679 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:42:09,749 - pyskl - INFO - +top1_acc 0.3493 +top5_acc 0.5895 +2025-06-02 18:42:09,749 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:42:09,758 - pyskl - INFO - +mean_acc 0.3510 +2025-06-02 18:42:09,760 - pyskl - INFO - Epoch(val) [72][198] top1_acc: 0.3493, top5_acc: 0.5895, mean_class_accuracy: 0.3510 +2025-06-02 18:43:19,938 - pyskl - INFO - Epoch [73][100/523] lr: 4.319e-02, eta: 15:31:30, time: 0.702, data_time: 0.260, memory: 7964, top1_acc: 0.6997, top5_acc: 0.9316, loss_cls: 5.1708, loss: 5.1708 +2025-06-02 18:44:04,165 - pyskl - INFO - Epoch [73][200/523] lr: 4.316e-02, eta: 15:30:35, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6897, top5_acc: 0.9275, loss_cls: 5.2389, loss: 5.2389 +2025-06-02 18:44:48,059 - pyskl - INFO - Epoch [73][300/523] lr: 4.312e-02, eta: 15:29:38, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6709, top5_acc: 0.9203, loss_cls: 5.3556, loss: 5.3556 +2025-06-02 18:45:32,234 - pyskl - INFO - Epoch [73][400/523] lr: 4.309e-02, eta: 15:28:43, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6737, top5_acc: 0.9275, loss_cls: 5.3562, loss: 5.3562 +2025-06-02 18:46:16,647 - pyskl - INFO - Epoch [73][500/523] lr: 4.305e-02, eta: 15:27:49, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6994, top5_acc: 0.9306, loss_cls: 5.2198, loss: 5.2198 +2025-06-02 18:46:27,489 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-06-02 18:46:55,683 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:46:55,753 - pyskl - INFO - +top1_acc 0.3843 +top5_acc 0.6228 +2025-06-02 18:46:55,753 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:46:55,761 - pyskl - INFO - +mean_acc 0.3857 +2025-06-02 18:46:55,763 - pyskl - INFO - Epoch(val) [73][198] top1_acc: 0.3843, top5_acc: 0.6228, mean_class_accuracy: 0.3857 +2025-06-02 18:48:04,880 - pyskl - INFO - Epoch [74][100/523] lr: 4.301e-02, eta: 15:27:26, time: 0.691, data_time: 0.255, memory: 7964, top1_acc: 0.7047, top5_acc: 0.9297, loss_cls: 5.2109, loss: 5.2109 +2025-06-02 18:48:49,318 - pyskl - INFO - Epoch [74][200/523] lr: 4.297e-02, eta: 15:26:32, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.6878, top5_acc: 0.9256, loss_cls: 5.3338, loss: 5.3338 +2025-06-02 18:49:31,789 - pyskl - INFO - Epoch [74][300/523] lr: 4.294e-02, eta: 15:25:31, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.6941, top5_acc: 0.9253, loss_cls: 5.1892, loss: 5.1892 +2025-06-02 18:50:15,890 - pyskl - INFO - Epoch [74][400/523] lr: 4.291e-02, eta: 15:24:36, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6741, top5_acc: 0.9175, loss_cls: 5.3802, loss: 5.3802 +2025-06-02 18:51:00,407 - pyskl - INFO - Epoch [74][500/523] lr: 4.287e-02, eta: 15:23:42, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6922, top5_acc: 0.9231, loss_cls: 5.3419, loss: 5.3419 +2025-06-02 18:51:11,269 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-06-02 18:51:39,596 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:51:39,666 - pyskl - INFO - +top1_acc 0.3637 +top5_acc 0.5909 +2025-06-02 18:51:39,666 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:51:39,674 - pyskl - INFO - +mean_acc 0.3618 +2025-06-02 18:51:39,676 - pyskl - INFO - Epoch(val) [74][198] top1_acc: 0.3637, top5_acc: 0.5909, mean_class_accuracy: 0.3618 +2025-06-02 18:52:49,280 - pyskl - INFO - Epoch [75][100/523] lr: 4.283e-02, eta: 15:23:20, time: 0.696, data_time: 0.253, memory: 7964, top1_acc: 0.7034, top5_acc: 0.9353, loss_cls: 5.1645, loss: 5.1645 +2025-06-02 18:53:33,625 - pyskl - INFO - Epoch [75][200/523] lr: 4.279e-02, eta: 15:22:26, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6837, top5_acc: 0.9266, loss_cls: 5.2644, loss: 5.2644 +2025-06-02 18:54:16,535 - pyskl - INFO - Epoch [75][300/523] lr: 4.276e-02, eta: 15:21:27, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.6831, top5_acc: 0.9294, loss_cls: 5.2514, loss: 5.2514 +2025-06-02 18:55:00,519 - pyskl - INFO - Epoch [75][400/523] lr: 4.272e-02, eta: 15:20:31, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6913, top5_acc: 0.9325, loss_cls: 5.1913, loss: 5.1913 +2025-06-02 18:55:44,562 - pyskl - INFO - Epoch [75][500/523] lr: 4.269e-02, eta: 15:19:36, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6816, top5_acc: 0.9250, loss_cls: 5.3002, loss: 5.3002 +2025-06-02 18:55:55,377 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-06-02 18:56:23,790 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 18:56:23,859 - pyskl - INFO - +top1_acc 0.3709 +top5_acc 0.6230 +2025-06-02 18:56:23,859 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 18:56:23,866 - pyskl - INFO - +mean_acc 0.3699 +2025-06-02 18:56:23,868 - pyskl - INFO - Epoch(val) [75][198] top1_acc: 0.3709, top5_acc: 0.6230, mean_class_accuracy: 0.3699 +2025-06-02 18:57:32,799 - pyskl - INFO - Epoch [76][100/523] lr: 4.264e-02, eta: 15:19:12, time: 0.689, data_time: 0.252, memory: 7964, top1_acc: 0.7050, top5_acc: 0.9341, loss_cls: 5.1721, loss: 5.1721 +2025-06-02 18:58:16,558 - pyskl - INFO - Epoch [76][200/523] lr: 4.261e-02, eta: 15:18:15, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6959, top5_acc: 0.9278, loss_cls: 5.2107, loss: 5.2107 +2025-06-02 18:59:00,621 - pyskl - INFO - Epoch [76][300/523] lr: 4.257e-02, eta: 15:17:20, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7053, top5_acc: 0.9287, loss_cls: 5.1329, loss: 5.1329 +2025-06-02 18:59:44,164 - pyskl - INFO - Epoch [76][400/523] lr: 4.254e-02, eta: 15:16:23, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.6725, top5_acc: 0.9216, loss_cls: 5.2954, loss: 5.2954 +2025-06-02 19:00:28,169 - pyskl - INFO - Epoch [76][500/523] lr: 4.250e-02, eta: 15:15:28, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6887, top5_acc: 0.9253, loss_cls: 5.3500, loss: 5.3500 +2025-06-02 19:00:39,025 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-06-02 19:01:06,943 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:01:07,012 - pyskl - INFO - +top1_acc 0.3810 +top5_acc 0.6152 +2025-06-02 19:01:07,012 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:01:07,020 - pyskl - INFO - +mean_acc 0.3791 +2025-06-02 19:01:07,021 - pyskl - INFO - Epoch(val) [76][198] top1_acc: 0.3810, top5_acc: 0.6152, mean_class_accuracy: 0.3791 +2025-06-02 19:02:16,626 - pyskl - INFO - Epoch [77][100/523] lr: 4.246e-02, eta: 15:15:05, time: 0.696, data_time: 0.258, memory: 7964, top1_acc: 0.7056, top5_acc: 0.9359, loss_cls: 5.1871, loss: 5.1871 +2025-06-02 19:03:00,507 - pyskl - INFO - Epoch [77][200/523] lr: 4.242e-02, eta: 15:14:09, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6981, top5_acc: 0.9337, loss_cls: 5.1332, loss: 5.1332 +2025-06-02 19:03:44,808 - pyskl - INFO - Epoch [77][300/523] lr: 4.238e-02, eta: 15:13:15, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7028, top5_acc: 0.9291, loss_cls: 5.0878, loss: 5.0878 +2025-06-02 19:04:29,075 - pyskl - INFO - Epoch [77][400/523] lr: 4.235e-02, eta: 15:12:20, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6931, top5_acc: 0.9259, loss_cls: 5.2198, loss: 5.2198 +2025-06-02 19:05:13,232 - pyskl - INFO - Epoch [77][500/523] lr: 4.231e-02, eta: 15:11:26, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6834, top5_acc: 0.9216, loss_cls: 5.2212, loss: 5.2212 +2025-06-02 19:05:24,096 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-06-02 19:05:51,951 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:05:52,018 - pyskl - INFO - +top1_acc 0.3854 +top5_acc 0.6230 +2025-06-02 19:05:52,018 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:05:52,025 - pyskl - INFO - +mean_acc 0.3841 +2025-06-02 19:05:52,026 - pyskl - INFO - Epoch(val) [77][198] top1_acc: 0.3854, top5_acc: 0.6230, mean_class_accuracy: 0.3841 +2025-06-02 19:07:01,497 - pyskl - INFO - Epoch [78][100/523] lr: 4.227e-02, eta: 15:11:02, time: 0.695, data_time: 0.254, memory: 7964, top1_acc: 0.7259, top5_acc: 0.9406, loss_cls: 5.0607, loss: 5.0607 +2025-06-02 19:07:44,444 - pyskl - INFO - Epoch [78][200/523] lr: 4.223e-02, eta: 15:10:04, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7019, top5_acc: 0.9278, loss_cls: 5.1861, loss: 5.1861 +2025-06-02 19:08:28,276 - pyskl - INFO - Epoch [78][300/523] lr: 4.220e-02, eta: 15:09:08, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6778, top5_acc: 0.9213, loss_cls: 5.3331, loss: 5.3331 +2025-06-02 19:09:11,808 - pyskl - INFO - Epoch [78][400/523] lr: 4.216e-02, eta: 15:08:11, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7031, top5_acc: 0.9266, loss_cls: 5.1523, loss: 5.1523 +2025-06-02 19:09:56,004 - pyskl - INFO - Epoch [78][500/523] lr: 4.212e-02, eta: 15:07:17, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6734, top5_acc: 0.9259, loss_cls: 5.2807, loss: 5.2807 +2025-06-02 19:10:06,821 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-06-02 19:10:34,859 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:10:34,929 - pyskl - INFO - +top1_acc 0.3969 +top5_acc 0.6326 +2025-06-02 19:10:34,930 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:10:34,938 - pyskl - INFO - +mean_acc 0.3965 +2025-06-02 19:10:34,997 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_64.pth was removed +2025-06-02 19:10:36,533 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_78.pth. +2025-06-02 19:10:36,535 - pyskl - INFO - Best top1_acc is 0.3969 at 78 epoch. +2025-06-02 19:10:36,538 - pyskl - INFO - Epoch(val) [78][198] top1_acc: 0.3969, top5_acc: 0.6326, mean_class_accuracy: 0.3965 +2025-06-02 19:11:46,208 - pyskl - INFO - Epoch [79][100/523] lr: 4.208e-02, eta: 15:06:53, time: 0.697, data_time: 0.260, memory: 7964, top1_acc: 0.7081, top5_acc: 0.9387, loss_cls: 5.1338, loss: 5.1338 +2025-06-02 19:12:30,767 - pyskl - INFO - Epoch [79][200/523] lr: 4.204e-02, eta: 15:06:00, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.6953, top5_acc: 0.9297, loss_cls: 5.2291, loss: 5.2291 +2025-06-02 19:13:14,593 - pyskl - INFO - Epoch [79][300/523] lr: 4.200e-02, eta: 15:05:04, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6937, top5_acc: 0.9350, loss_cls: 5.0906, loss: 5.0906 +2025-06-02 19:13:58,797 - pyskl - INFO - Epoch [79][400/523] lr: 4.197e-02, eta: 15:04:10, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6900, top5_acc: 0.9237, loss_cls: 5.2057, loss: 5.2057 +2025-06-02 19:14:42,724 - pyskl - INFO - Epoch [79][500/523] lr: 4.193e-02, eta: 15:03:15, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.6881, top5_acc: 0.9228, loss_cls: 5.1930, loss: 5.1930 +2025-06-02 19:14:53,469 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-06-02 19:15:21,737 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:15:21,822 - pyskl - INFO - +top1_acc 0.3599 +top5_acc 0.5697 +2025-06-02 19:15:21,822 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:15:21,832 - pyskl - INFO - +mean_acc 0.3606 +2025-06-02 19:15:21,833 - pyskl - INFO - Epoch(val) [79][198] top1_acc: 0.3599, top5_acc: 0.5697, mean_class_accuracy: 0.3606 +2025-06-02 19:16:31,734 - pyskl - INFO - Epoch [80][100/523] lr: 4.189e-02, eta: 15:02:51, time: 0.699, data_time: 0.258, memory: 7964, top1_acc: 0.7147, top5_acc: 0.9381, loss_cls: 5.0021, loss: 5.0021 +2025-06-02 19:17:15,145 - pyskl - INFO - Epoch [80][200/523] lr: 4.185e-02, eta: 15:01:54, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.6984, top5_acc: 0.9294, loss_cls: 5.1712, loss: 5.1712 +2025-06-02 19:17:58,463 - pyskl - INFO - Epoch [80][300/523] lr: 4.181e-02, eta: 15:00:58, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7034, top5_acc: 0.9287, loss_cls: 5.1176, loss: 5.1176 +2025-06-02 19:18:42,044 - pyskl - INFO - Epoch [80][400/523] lr: 4.177e-02, eta: 15:00:02, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6937, top5_acc: 0.9272, loss_cls: 5.2296, loss: 5.2296 +2025-06-02 19:19:26,239 - pyskl - INFO - Epoch [80][500/523] lr: 4.174e-02, eta: 14:59:07, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6919, top5_acc: 0.9263, loss_cls: 5.2326, loss: 5.2326 +2025-06-02 19:19:37,055 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-06-02 19:20:05,210 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:20:05,279 - pyskl - INFO - +top1_acc 0.3720 +top5_acc 0.5922 +2025-06-02 19:20:05,279 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:20:05,286 - pyskl - INFO - +mean_acc 0.3707 +2025-06-02 19:20:05,287 - pyskl - INFO - Epoch(val) [80][198] top1_acc: 0.3720, top5_acc: 0.5922, mean_class_accuracy: 0.3707 +2025-06-02 19:21:13,158 - pyskl - INFO - Epoch [81][100/523] lr: 4.169e-02, eta: 14:58:38, time: 0.679, data_time: 0.253, memory: 7964, top1_acc: 0.7191, top5_acc: 0.9400, loss_cls: 4.9960, loss: 4.9960 +2025-06-02 19:21:57,228 - pyskl - INFO - Epoch [81][200/523] lr: 4.165e-02, eta: 14:57:43, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7169, top5_acc: 0.9387, loss_cls: 5.0824, loss: 5.0824 +2025-06-02 19:22:41,544 - pyskl - INFO - Epoch [81][300/523] lr: 4.162e-02, eta: 14:56:49, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.6925, top5_acc: 0.9322, loss_cls: 5.2223, loss: 5.2223 +2025-06-02 19:23:25,543 - pyskl - INFO - Epoch [81][400/523] lr: 4.158e-02, eta: 14:55:54, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6947, top5_acc: 0.9306, loss_cls: 5.2243, loss: 5.2243 +2025-06-02 19:24:09,097 - pyskl - INFO - Epoch [81][500/523] lr: 4.154e-02, eta: 14:54:58, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6887, top5_acc: 0.9206, loss_cls: 5.1822, loss: 5.1822 +2025-06-02 19:24:19,929 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-06-02 19:24:48,779 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:24:48,851 - pyskl - INFO - +top1_acc 0.3342 +top5_acc 0.5646 +2025-06-02 19:24:48,851 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:24:48,858 - pyskl - INFO - +mean_acc 0.3322 +2025-06-02 19:24:48,860 - pyskl - INFO - Epoch(val) [81][198] top1_acc: 0.3342, top5_acc: 0.5646, mean_class_accuracy: 0.3322 +2025-06-02 19:25:57,891 - pyskl - INFO - Epoch [82][100/523] lr: 4.150e-02, eta: 14:54:31, time: 0.690, data_time: 0.255, memory: 7964, top1_acc: 0.7153, top5_acc: 0.9416, loss_cls: 5.0990, loss: 5.0990 +2025-06-02 19:26:42,162 - pyskl - INFO - Epoch [82][200/523] lr: 4.146e-02, eta: 14:53:37, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7119, top5_acc: 0.9356, loss_cls: 5.1074, loss: 5.1074 +2025-06-02 19:27:26,364 - pyskl - INFO - Epoch [82][300/523] lr: 4.142e-02, eta: 14:52:43, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6866, top5_acc: 0.9266, loss_cls: 5.2716, loss: 5.2716 +2025-06-02 19:28:10,124 - pyskl - INFO - Epoch [82][400/523] lr: 4.138e-02, eta: 14:51:48, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6975, top5_acc: 0.9203, loss_cls: 5.2477, loss: 5.2477 +2025-06-02 19:28:53,921 - pyskl - INFO - Epoch [82][500/523] lr: 4.134e-02, eta: 14:50:53, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6969, top5_acc: 0.9328, loss_cls: 5.1582, loss: 5.1582 +2025-06-02 19:29:04,647 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-06-02 19:29:32,889 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:29:32,958 - pyskl - INFO - +top1_acc 0.3807 +top5_acc 0.6230 +2025-06-02 19:29:32,958 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:29:32,965 - pyskl - INFO - +mean_acc 0.3801 +2025-06-02 19:29:32,967 - pyskl - INFO - Epoch(val) [82][198] top1_acc: 0.3807, top5_acc: 0.6230, mean_class_accuracy: 0.3801 +2025-06-02 19:30:41,524 - pyskl - INFO - Epoch [83][100/523] lr: 4.130e-02, eta: 14:50:24, time: 0.686, data_time: 0.253, memory: 7964, top1_acc: 0.7234, top5_acc: 0.9475, loss_cls: 4.9877, loss: 4.9877 +2025-06-02 19:31:25,655 - pyskl - INFO - Epoch [83][200/523] lr: 4.126e-02, eta: 14:49:30, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7044, top5_acc: 0.9409, loss_cls: 5.0936, loss: 5.0936 +2025-06-02 19:32:09,174 - pyskl - INFO - Epoch [83][300/523] lr: 4.122e-02, eta: 14:48:34, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7106, top5_acc: 0.9422, loss_cls: 5.0983, loss: 5.0983 +2025-06-02 19:32:52,397 - pyskl - INFO - Epoch [83][400/523] lr: 4.118e-02, eta: 14:47:38, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.6900, top5_acc: 0.9156, loss_cls: 5.3362, loss: 5.3362 +2025-06-02 19:33:35,970 - pyskl - INFO - Epoch [83][500/523] lr: 4.115e-02, eta: 14:46:42, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.6928, top5_acc: 0.9272, loss_cls: 5.1797, loss: 5.1797 +2025-06-02 19:33:46,844 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-06-02 19:34:14,753 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:34:14,823 - pyskl - INFO - +top1_acc 0.3981 +top5_acc 0.6322 +2025-06-02 19:34:14,823 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:34:14,831 - pyskl - INFO - +mean_acc 0.3964 +2025-06-02 19:34:14,891 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_78.pth was removed +2025-06-02 19:34:16,405 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_83.pth. +2025-06-02 19:34:16,407 - pyskl - INFO - Best top1_acc is 0.3981 at 83 epoch. +2025-06-02 19:34:16,409 - pyskl - INFO - Epoch(val) [83][198] top1_acc: 0.3981, top5_acc: 0.6322, mean_class_accuracy: 0.3964 +2025-06-02 19:35:24,851 - pyskl - INFO - Epoch [84][100/523] lr: 4.110e-02, eta: 14:46:13, time: 0.684, data_time: 0.253, memory: 7964, top1_acc: 0.7275, top5_acc: 0.9463, loss_cls: 4.9592, loss: 4.9592 +2025-06-02 19:36:08,587 - pyskl - INFO - Epoch [84][200/523] lr: 4.106e-02, eta: 14:45:18, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.6972, top5_acc: 0.9347, loss_cls: 5.1085, loss: 5.1085 +2025-06-02 19:36:52,390 - pyskl - INFO - Epoch [84][300/523] lr: 4.102e-02, eta: 14:44:23, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6891, top5_acc: 0.9313, loss_cls: 5.1956, loss: 5.1956 +2025-06-02 19:37:36,602 - pyskl - INFO - Epoch [84][400/523] lr: 4.098e-02, eta: 14:43:29, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6984, top5_acc: 0.9400, loss_cls: 5.1092, loss: 5.1092 +2025-06-02 19:38:20,790 - pyskl - INFO - Epoch [84][500/523] lr: 4.094e-02, eta: 14:42:35, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7050, top5_acc: 0.9303, loss_cls: 5.2150, loss: 5.2150 +2025-06-02 19:38:31,582 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-06-02 19:38:59,843 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:38:59,913 - pyskl - INFO - +top1_acc 0.3956 +top5_acc 0.6341 +2025-06-02 19:38:59,913 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:38:59,921 - pyskl - INFO - +mean_acc 0.3940 +2025-06-02 19:38:59,923 - pyskl - INFO - Epoch(val) [84][198] top1_acc: 0.3956, top5_acc: 0.6341, mean_class_accuracy: 0.3940 +2025-06-02 19:40:09,861 - pyskl - INFO - Epoch [85][100/523] lr: 4.090e-02, eta: 14:42:09, time: 0.699, data_time: 0.265, memory: 7964, top1_acc: 0.7262, top5_acc: 0.9478, loss_cls: 4.9907, loss: 4.9907 +2025-06-02 19:40:52,844 - pyskl - INFO - Epoch [85][200/523] lr: 4.086e-02, eta: 14:41:12, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7028, top5_acc: 0.9387, loss_cls: 5.1027, loss: 5.1027 +2025-06-02 19:41:36,833 - pyskl - INFO - Epoch [85][300/523] lr: 4.082e-02, eta: 14:40:18, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.6822, top5_acc: 0.9213, loss_cls: 5.2583, loss: 5.2583 +2025-06-02 19:42:20,883 - pyskl - INFO - Epoch [85][400/523] lr: 4.078e-02, eta: 14:39:24, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7075, top5_acc: 0.9350, loss_cls: 5.0831, loss: 5.0831 +2025-06-02 19:43:05,093 - pyskl - INFO - Epoch [85][500/523] lr: 4.074e-02, eta: 14:38:30, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6922, top5_acc: 0.9353, loss_cls: 5.3202, loss: 5.3202 +2025-06-02 19:43:15,823 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-06-02 19:43:44,153 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:43:44,228 - pyskl - INFO - +top1_acc 0.3842 +top5_acc 0.5989 +2025-06-02 19:43:44,228 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:43:44,236 - pyskl - INFO - +mean_acc 0.3833 +2025-06-02 19:43:44,237 - pyskl - INFO - Epoch(val) [85][198] top1_acc: 0.3842, top5_acc: 0.5989, mean_class_accuracy: 0.3833 +2025-06-02 19:44:52,052 - pyskl - INFO - Epoch [86][100/523] lr: 4.069e-02, eta: 14:37:58, time: 0.678, data_time: 0.255, memory: 7964, top1_acc: 0.7200, top5_acc: 0.9372, loss_cls: 5.0724, loss: 5.0724 +2025-06-02 19:45:35,726 - pyskl - INFO - Epoch [86][200/523] lr: 4.066e-02, eta: 14:37:03, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7219, top5_acc: 0.9394, loss_cls: 4.8822, loss: 4.8822 +2025-06-02 19:46:19,573 - pyskl - INFO - Epoch [86][300/523] lr: 4.062e-02, eta: 14:36:09, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7028, top5_acc: 0.9319, loss_cls: 5.2324, loss: 5.2324 +2025-06-02 19:47:03,702 - pyskl - INFO - Epoch [86][400/523] lr: 4.058e-02, eta: 14:35:15, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7141, top5_acc: 0.9334, loss_cls: 5.0988, loss: 5.0988 +2025-06-02 19:47:46,797 - pyskl - INFO - Epoch [86][500/523] lr: 4.054e-02, eta: 14:34:19, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7063, top5_acc: 0.9281, loss_cls: 5.1355, loss: 5.1355 +2025-06-02 19:47:57,406 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-06-02 19:48:25,718 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:48:25,787 - pyskl - INFO - +top1_acc 0.3485 +top5_acc 0.5713 +2025-06-02 19:48:25,787 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:48:25,794 - pyskl - INFO - +mean_acc 0.3471 +2025-06-02 19:48:25,796 - pyskl - INFO - Epoch(val) [86][198] top1_acc: 0.3485, top5_acc: 0.5713, mean_class_accuracy: 0.3471 +2025-06-02 19:49:33,980 - pyskl - INFO - Epoch [87][100/523] lr: 4.049e-02, eta: 14:33:47, time: 0.682, data_time: 0.253, memory: 7964, top1_acc: 0.7156, top5_acc: 0.9403, loss_cls: 5.0125, loss: 5.0125 +2025-06-02 19:50:17,837 - pyskl - INFO - Epoch [87][200/523] lr: 4.045e-02, eta: 14:32:53, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7131, top5_acc: 0.9359, loss_cls: 5.0880, loss: 5.0880 +2025-06-02 19:51:01,079 - pyskl - INFO - Epoch [87][300/523] lr: 4.041e-02, eta: 14:31:57, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7059, top5_acc: 0.9287, loss_cls: 5.0438, loss: 5.0438 +2025-06-02 19:51:45,163 - pyskl - INFO - Epoch [87][400/523] lr: 4.037e-02, eta: 14:31:03, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6894, top5_acc: 0.9275, loss_cls: 5.2344, loss: 5.2344 +2025-06-02 19:52:29,160 - pyskl - INFO - Epoch [87][500/523] lr: 4.033e-02, eta: 14:30:09, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7006, top5_acc: 0.9384, loss_cls: 5.1496, loss: 5.1496 +2025-06-02 19:52:40,015 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-06-02 19:53:08,307 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:53:08,376 - pyskl - INFO - +top1_acc 0.3740 +top5_acc 0.6107 +2025-06-02 19:53:08,376 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:53:08,384 - pyskl - INFO - +mean_acc 0.3725 +2025-06-02 19:53:08,385 - pyskl - INFO - Epoch(val) [87][198] top1_acc: 0.3740, top5_acc: 0.6107, mean_class_accuracy: 0.3725 +2025-06-02 19:54:17,754 - pyskl - INFO - Epoch [88][100/523] lr: 4.028e-02, eta: 14:29:40, time: 0.694, data_time: 0.254, memory: 7964, top1_acc: 0.7225, top5_acc: 0.9444, loss_cls: 5.0268, loss: 5.0268 +2025-06-02 19:55:02,147 - pyskl - INFO - Epoch [88][200/523] lr: 4.024e-02, eta: 14:28:47, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7066, top5_acc: 0.9422, loss_cls: 4.9993, loss: 4.9993 +2025-06-02 19:55:44,663 - pyskl - INFO - Epoch [88][300/523] lr: 4.020e-02, eta: 14:27:50, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.7034, top5_acc: 0.9394, loss_cls: 5.1127, loss: 5.1127 +2025-06-02 19:56:27,133 - pyskl - INFO - Epoch [88][400/523] lr: 4.016e-02, eta: 14:26:52, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.7147, top5_acc: 0.9359, loss_cls: 5.1626, loss: 5.1626 +2025-06-02 19:57:11,119 - pyskl - INFO - Epoch [88][500/523] lr: 4.012e-02, eta: 14:25:59, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7113, top5_acc: 0.9256, loss_cls: 5.1431, loss: 5.1431 +2025-06-02 19:57:21,851 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-06-02 19:57:50,152 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 19:57:50,220 - pyskl - INFO - +top1_acc 0.3120 +top5_acc 0.5331 +2025-06-02 19:57:50,220 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 19:57:50,228 - pyskl - INFO - +mean_acc 0.3103 +2025-06-02 19:57:50,231 - pyskl - INFO - Epoch(val) [88][198] top1_acc: 0.3120, top5_acc: 0.5331, mean_class_accuracy: 0.3103 +2025-06-02 19:58:58,524 - pyskl - INFO - Epoch [89][100/523] lr: 4.008e-02, eta: 14:25:27, time: 0.683, data_time: 0.257, memory: 7964, top1_acc: 0.7269, top5_acc: 0.9447, loss_cls: 4.9484, loss: 4.9484 +2025-06-02 19:59:41,951 - pyskl - INFO - Epoch [89][200/523] lr: 4.004e-02, eta: 14:24:31, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7156, top5_acc: 0.9437, loss_cls: 5.1284, loss: 5.1284 +2025-06-02 20:00:24,213 - pyskl - INFO - Epoch [89][300/523] lr: 4.000e-02, eta: 14:23:34, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.7131, top5_acc: 0.9425, loss_cls: 5.0066, loss: 5.0066 +2025-06-02 20:01:06,985 - pyskl - INFO - Epoch [89][400/523] lr: 3.996e-02, eta: 14:22:37, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.6975, top5_acc: 0.9359, loss_cls: 5.0713, loss: 5.0713 +2025-06-02 20:01:51,169 - pyskl - INFO - Epoch [89][500/523] lr: 3.992e-02, eta: 14:21:44, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.6941, top5_acc: 0.9278, loss_cls: 5.2266, loss: 5.2266 +2025-06-02 20:02:01,959 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-06-02 20:02:30,141 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:02:30,209 - pyskl - INFO - +top1_acc 0.3994 +top5_acc 0.6260 +2025-06-02 20:02:30,209 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 20:02:30,216 - pyskl - INFO - +mean_acc 0.3994 +2025-06-02 20:02:30,273 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_83.pth was removed +2025-06-02 20:02:31,752 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. +2025-06-02 20:02:31,754 - pyskl - INFO - Best top1_acc is 0.3994 at 89 epoch. +2025-06-02 20:02:31,756 - pyskl - INFO - Epoch(val) [89][198] top1_acc: 0.3994, top5_acc: 0.6260, mean_class_accuracy: 0.3994 +2025-06-02 20:03:41,403 - pyskl - INFO - Epoch [90][100/523] lr: 3.987e-02, eta: 14:21:15, time: 0.696, data_time: 0.251, memory: 7964, top1_acc: 0.7266, top5_acc: 0.9413, loss_cls: 4.8619, loss: 4.8619 +2025-06-02 20:04:24,576 - pyskl - INFO - Epoch [90][200/523] lr: 3.983e-02, eta: 14:20:19, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7312, top5_acc: 0.9434, loss_cls: 5.0125, loss: 5.0125 +2025-06-02 20:05:07,476 - pyskl - INFO - Epoch [90][300/523] lr: 3.979e-02, eta: 14:19:23, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7144, top5_acc: 0.9384, loss_cls: 5.0688, loss: 5.0688 +2025-06-02 20:05:50,766 - pyskl - INFO - Epoch [90][400/523] lr: 3.974e-02, eta: 14:18:28, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7031, top5_acc: 0.9441, loss_cls: 5.0886, loss: 5.0886 +2025-06-02 20:06:34,578 - pyskl - INFO - Epoch [90][500/523] lr: 3.970e-02, eta: 14:17:34, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6906, top5_acc: 0.9334, loss_cls: 5.1929, loss: 5.1929 +2025-06-02 20:06:45,368 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-06-02 20:07:13,385 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:07:13,452 - pyskl - INFO - +top1_acc 0.3723 +top5_acc 0.6188 +2025-06-02 20:07:13,453 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 20:07:13,460 - pyskl - INFO - +mean_acc 0.3713 +2025-06-02 20:07:13,462 - pyskl - INFO - Epoch(val) [90][198] top1_acc: 0.3723, top5_acc: 0.6188, mean_class_accuracy: 0.3713 +2025-06-02 20:08:23,430 - pyskl - INFO - Epoch [91][100/523] lr: 3.965e-02, eta: 14:17:05, time: 0.700, data_time: 0.253, memory: 7964, top1_acc: 0.7184, top5_acc: 0.9459, loss_cls: 5.0057, loss: 5.0057 +2025-06-02 20:09:07,461 - pyskl - INFO - Epoch [91][200/523] lr: 3.961e-02, eta: 14:16:11, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7366, top5_acc: 0.9391, loss_cls: 4.9191, loss: 4.9191 +2025-06-02 20:09:51,572 - pyskl - INFO - Epoch [91][300/523] lr: 3.957e-02, eta: 14:15:18, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7131, top5_acc: 0.9403, loss_cls: 5.1008, loss: 5.1008 +2025-06-02 20:10:35,538 - pyskl - INFO - Epoch [91][400/523] lr: 3.953e-02, eta: 14:14:25, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7059, top5_acc: 0.9272, loss_cls: 5.1262, loss: 5.1262 +2025-06-02 20:11:19,347 - pyskl - INFO - Epoch [91][500/523] lr: 3.949e-02, eta: 14:13:31, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.6959, top5_acc: 0.9384, loss_cls: 5.0711, loss: 5.0711 +2025-06-02 20:11:29,930 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-06-02 20:11:58,123 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:11:58,191 - pyskl - INFO - +top1_acc 0.4027 +top5_acc 0.6464 +2025-06-02 20:11:58,192 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 20:11:58,199 - pyskl - INFO - +mean_acc 0.4017 +2025-06-02 20:11:58,259 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_89.pth was removed +2025-06-02 20:11:59,785 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. +2025-06-02 20:11:59,787 - pyskl - INFO - Best top1_acc is 0.4027 at 91 epoch. +2025-06-02 20:11:59,790 - pyskl - INFO - Epoch(val) [91][198] top1_acc: 0.4027, top5_acc: 0.6464, mean_class_accuracy: 0.4017 +2025-06-02 20:13:09,336 - pyskl - INFO - Epoch [92][100/523] lr: 3.944e-02, eta: 14:13:01, time: 0.695, data_time: 0.253, memory: 7964, top1_acc: 0.7294, top5_acc: 0.9503, loss_cls: 4.9592, loss: 4.9592 +2025-06-02 20:13:53,396 - pyskl - INFO - Epoch [92][200/523] lr: 3.940e-02, eta: 14:12:07, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7331, top5_acc: 0.9387, loss_cls: 4.9799, loss: 4.9799 +2025-06-02 20:14:36,949 - pyskl - INFO - Epoch [92][300/523] lr: 3.936e-02, eta: 14:11:13, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7100, top5_acc: 0.9369, loss_cls: 5.0636, loss: 5.0636 +2025-06-02 20:15:21,087 - pyskl - INFO - Epoch [92][400/523] lr: 3.932e-02, eta: 14:10:20, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7078, top5_acc: 0.9356, loss_cls: 5.0953, loss: 5.0953 +2025-06-02 20:16:05,149 - pyskl - INFO - Epoch [92][500/523] lr: 3.928e-02, eta: 14:09:27, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.6881, top5_acc: 0.9309, loss_cls: 5.2554, loss: 5.2554 +2025-06-02 20:16:15,925 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-06-02 20:16:44,016 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:16:44,085 - pyskl - INFO - +top1_acc 0.3861 +top5_acc 0.6239 +2025-06-02 20:16:44,085 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 20:16:44,092 - pyskl - INFO - +mean_acc 0.3868 +2025-06-02 20:16:44,094 - pyskl - INFO - Epoch(val) [92][198] top1_acc: 0.3861, top5_acc: 0.6239, mean_class_accuracy: 0.3868 +2025-06-02 20:17:53,764 - pyskl - INFO - Epoch [93][100/523] lr: 3.923e-02, eta: 14:08:56, time: 0.697, data_time: 0.254, memory: 7964, top1_acc: 0.7219, top5_acc: 0.9450, loss_cls: 4.9768, loss: 4.9768 +2025-06-02 20:18:38,125 - pyskl - INFO - Epoch [93][200/523] lr: 3.919e-02, eta: 14:08:04, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7228, top5_acc: 0.9484, loss_cls: 4.8532, loss: 4.8532 +2025-06-02 20:19:21,958 - pyskl - INFO - Epoch [93][300/523] lr: 3.914e-02, eta: 14:07:10, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7175, top5_acc: 0.9328, loss_cls: 5.1463, loss: 5.1463 +2025-06-02 20:20:06,354 - pyskl - INFO - Epoch [93][400/523] lr: 3.910e-02, eta: 14:06:18, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7025, top5_acc: 0.9419, loss_cls: 5.0929, loss: 5.0929 +2025-06-02 20:20:50,591 - pyskl - INFO - Epoch [93][500/523] lr: 3.906e-02, eta: 14:05:25, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7072, top5_acc: 0.9409, loss_cls: 5.0227, loss: 5.0227 +2025-06-02 20:21:01,388 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-06-02 20:21:29,863 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:21:29,931 - pyskl - INFO - +top1_acc 0.3704 +top5_acc 0.6168 +2025-06-02 20:21:29,931 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 20:21:29,938 - pyskl - INFO - +mean_acc 0.3706 +2025-06-02 20:21:29,939 - pyskl - INFO - Epoch(val) [93][198] top1_acc: 0.3704, top5_acc: 0.6168, mean_class_accuracy: 0.3706 +2025-06-02 20:22:39,404 - pyskl - INFO - Epoch [94][100/523] lr: 3.901e-02, eta: 14:04:54, time: 0.695, data_time: 0.260, memory: 7964, top1_acc: 0.7269, top5_acc: 0.9428, loss_cls: 5.1027, loss: 5.1027 +2025-06-02 20:23:22,852 - pyskl - INFO - Epoch [94][200/523] lr: 3.897e-02, eta: 14:03:59, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7331, top5_acc: 0.9528, loss_cls: 4.8397, loss: 4.8397 +2025-06-02 20:24:07,222 - pyskl - INFO - Epoch [94][300/523] lr: 3.893e-02, eta: 14:03:07, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7022, top5_acc: 0.9366, loss_cls: 5.0650, loss: 5.0650 +2025-06-02 20:24:51,553 - pyskl - INFO - Epoch [94][400/523] lr: 3.889e-02, eta: 14:02:14, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7103, top5_acc: 0.9378, loss_cls: 5.0675, loss: 5.0675 +2025-06-02 20:25:35,720 - pyskl - INFO - Epoch [94][500/523] lr: 3.884e-02, eta: 14:01:22, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7106, top5_acc: 0.9341, loss_cls: 5.0949, loss: 5.0949 +2025-06-02 20:25:46,656 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-06-02 20:26:14,713 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:26:14,780 - pyskl - INFO - +top1_acc 0.3970 +top5_acc 0.6406 +2025-06-02 20:26:14,780 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 20:26:14,787 - pyskl - INFO - +mean_acc 0.3957 +2025-06-02 20:26:14,788 - pyskl - INFO - Epoch(val) [94][198] top1_acc: 0.3970, top5_acc: 0.6406, mean_class_accuracy: 0.3957 +2025-06-02 20:27:24,686 - pyskl - INFO - Epoch [95][100/523] lr: 3.879e-02, eta: 14:00:51, time: 0.699, data_time: 0.256, memory: 7964, top1_acc: 0.7231, top5_acc: 0.9394, loss_cls: 4.9579, loss: 4.9579 +2025-06-02 20:28:08,402 - pyskl - INFO - Epoch [95][200/523] lr: 3.875e-02, eta: 13:59:57, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7244, top5_acc: 0.9469, loss_cls: 5.0058, loss: 5.0058 +2025-06-02 20:28:52,833 - pyskl - INFO - Epoch [95][300/523] lr: 3.871e-02, eta: 13:59:05, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7078, top5_acc: 0.9400, loss_cls: 5.0988, loss: 5.0988 +2025-06-02 20:29:37,214 - pyskl - INFO - Epoch [95][400/523] lr: 3.867e-02, eta: 13:58:13, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7291, top5_acc: 0.9441, loss_cls: 4.9988, loss: 4.9988 +2025-06-02 20:30:21,218 - pyskl - INFO - Epoch [95][500/523] lr: 3.863e-02, eta: 13:57:20, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7069, top5_acc: 0.9359, loss_cls: 5.0945, loss: 5.0945 +2025-06-02 20:30:31,953 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-06-02 20:31:00,470 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:31:00,539 - pyskl - INFO - +top1_acc 0.3938 +top5_acc 0.6295 +2025-06-02 20:31:00,539 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 20:31:00,547 - pyskl - INFO - +mean_acc 0.3918 +2025-06-02 20:31:00,549 - pyskl - INFO - Epoch(val) [95][198] top1_acc: 0.3938, top5_acc: 0.6295, mean_class_accuracy: 0.3918 +2025-06-02 20:32:11,326 - pyskl - INFO - Epoch [96][100/523] lr: 3.857e-02, eta: 13:56:50, time: 0.708, data_time: 0.260, memory: 7964, top1_acc: 0.7422, top5_acc: 0.9547, loss_cls: 4.8798, loss: 4.8798 +2025-06-02 20:32:55,297 - pyskl - INFO - Epoch [96][200/523] lr: 3.853e-02, eta: 13:55:57, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7281, top5_acc: 0.9400, loss_cls: 4.9315, loss: 4.9315 +2025-06-02 20:33:38,528 - pyskl - INFO - Epoch [96][300/523] lr: 3.849e-02, eta: 13:55:03, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7191, top5_acc: 0.9481, loss_cls: 5.1049, loss: 5.1049 +2025-06-02 20:34:22,579 - pyskl - INFO - Epoch [96][400/523] lr: 3.845e-02, eta: 13:54:10, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7169, top5_acc: 0.9403, loss_cls: 4.9621, loss: 4.9621 +2025-06-02 20:35:07,190 - pyskl - INFO - Epoch [96][500/523] lr: 3.841e-02, eta: 13:53:18, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7006, top5_acc: 0.9372, loss_cls: 5.0386, loss: 5.0386 +2025-06-02 20:35:18,053 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-06-02 20:35:46,274 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:35:46,344 - pyskl - INFO - +top1_acc 0.3785 +top5_acc 0.6128 +2025-06-02 20:35:46,344 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 20:35:46,352 - pyskl - INFO - +mean_acc 0.3797 +2025-06-02 20:35:46,353 - pyskl - INFO - Epoch(val) [96][198] top1_acc: 0.3785, top5_acc: 0.6128, mean_class_accuracy: 0.3797 +2025-06-02 20:36:56,652 - pyskl - INFO - Epoch [97][100/523] lr: 3.835e-02, eta: 13:52:47, time: 0.703, data_time: 0.263, memory: 7964, top1_acc: 0.7403, top5_acc: 0.9441, loss_cls: 4.8238, loss: 4.8238 +2025-06-02 20:37:39,864 - pyskl - INFO - Epoch [97][200/523] lr: 3.831e-02, eta: 13:51:53, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7391, top5_acc: 0.9503, loss_cls: 4.9003, loss: 4.9003 +2025-06-02 20:38:23,151 - pyskl - INFO - Epoch [97][300/523] lr: 3.827e-02, eta: 13:50:58, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7303, top5_acc: 0.9387, loss_cls: 4.9876, loss: 4.9876 +2025-06-02 20:39:07,606 - pyskl - INFO - Epoch [97][400/523] lr: 3.823e-02, eta: 13:50:06, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7156, top5_acc: 0.9428, loss_cls: 5.0284, loss: 5.0284 +2025-06-02 20:39:51,810 - pyskl - INFO - Epoch [97][500/523] lr: 3.818e-02, eta: 13:49:14, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7131, top5_acc: 0.9444, loss_cls: 5.1068, loss: 5.1068 +2025-06-02 20:40:02,614 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-06-02 20:40:30,894 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:40:30,972 - pyskl - INFO - +top1_acc 0.3740 +top5_acc 0.5965 +2025-06-02 20:40:30,972 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 20:40:30,983 - pyskl - INFO - +mean_acc 0.3726 +2025-06-02 20:40:30,985 - pyskl - INFO - Epoch(val) [97][198] top1_acc: 0.3740, top5_acc: 0.5965, mean_class_accuracy: 0.3726 +2025-06-02 20:41:39,474 - pyskl - INFO - Epoch [98][100/523] lr: 3.813e-02, eta: 13:48:39, time: 0.685, data_time: 0.262, memory: 7964, top1_acc: 0.7431, top5_acc: 0.9566, loss_cls: 4.8019, loss: 4.8019 +2025-06-02 20:42:22,987 - pyskl - INFO - Epoch [98][200/523] lr: 3.809e-02, eta: 13:47:45, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7309, top5_acc: 0.9431, loss_cls: 4.9113, loss: 4.9113 +2025-06-02 20:43:07,419 - pyskl - INFO - Epoch [98][300/523] lr: 3.805e-02, eta: 13:46:53, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7044, top5_acc: 0.9387, loss_cls: 4.8836, loss: 4.8836 +2025-06-02 20:43:51,385 - pyskl - INFO - Epoch [98][400/523] lr: 3.800e-02, eta: 13:46:00, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7169, top5_acc: 0.9394, loss_cls: 5.0382, loss: 5.0382 +2025-06-02 20:44:34,710 - pyskl - INFO - Epoch [98][500/523] lr: 3.796e-02, eta: 13:45:06, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7166, top5_acc: 0.9400, loss_cls: 5.0622, loss: 5.0622 +2025-06-02 20:44:45,158 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-06-02 20:45:13,919 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:45:13,994 - pyskl - INFO - +top1_acc 0.3969 +top5_acc 0.6318 +2025-06-02 20:45:13,994 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 20:45:14,002 - pyskl - INFO - +mean_acc 0.3976 +2025-06-02 20:45:14,004 - pyskl - INFO - Epoch(val) [98][198] top1_acc: 0.3969, top5_acc: 0.6318, mean_class_accuracy: 0.3976 +2025-06-02 20:46:25,201 - pyskl - INFO - Epoch [99][100/523] lr: 3.791e-02, eta: 13:44:36, time: 0.712, data_time: 0.272, memory: 7964, top1_acc: 0.7466, top5_acc: 0.9484, loss_cls: 4.8193, loss: 4.8193 +2025-06-02 20:47:07,846 - pyskl - INFO - Epoch [99][200/523] lr: 3.787e-02, eta: 13:43:41, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.7231, top5_acc: 0.9478, loss_cls: 4.9249, loss: 4.9249 +2025-06-02 20:47:49,697 - pyskl - INFO - Epoch [99][300/523] lr: 3.782e-02, eta: 13:42:44, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.7109, top5_acc: 0.9463, loss_cls: 5.0132, loss: 5.0132 +2025-06-02 20:48:32,152 - pyskl - INFO - Epoch [99][400/523] lr: 3.778e-02, eta: 13:41:48, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.7003, top5_acc: 0.9325, loss_cls: 5.0266, loss: 5.0266 +2025-06-02 20:49:14,828 - pyskl - INFO - Epoch [99][500/523] lr: 3.774e-02, eta: 13:40:53, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.7172, top5_acc: 0.9403, loss_cls: 4.9765, loss: 4.9765 +2025-06-02 20:49:25,453 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-06-02 20:49:53,823 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:49:53,895 - pyskl - INFO - +top1_acc 0.3902 +top5_acc 0.6339 +2025-06-02 20:49:53,895 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 20:49:53,902 - pyskl - INFO - +mean_acc 0.3893 +2025-06-02 20:49:53,904 - pyskl - INFO - Epoch(val) [99][198] top1_acc: 0.3902, top5_acc: 0.6339, mean_class_accuracy: 0.3893 +2025-06-02 20:51:01,233 - pyskl - INFO - Epoch [100][100/523] lr: 3.768e-02, eta: 13:40:15, time: 0.673, data_time: 0.251, memory: 7964, top1_acc: 0.7484, top5_acc: 0.9478, loss_cls: 4.7826, loss: 4.7826 +2025-06-02 20:51:43,497 - pyskl - INFO - Epoch [100][200/523] lr: 3.764e-02, eta: 13:39:19, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.7353, top5_acc: 0.9491, loss_cls: 4.9004, loss: 4.9004 +2025-06-02 20:52:25,232 - pyskl - INFO - Epoch [100][300/523] lr: 3.760e-02, eta: 13:38:21, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.7175, top5_acc: 0.9375, loss_cls: 4.9463, loss: 4.9463 +2025-06-02 20:53:06,953 - pyskl - INFO - Epoch [100][400/523] lr: 3.755e-02, eta: 13:37:24, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.7163, top5_acc: 0.9447, loss_cls: 4.9407, loss: 4.9407 +2025-06-02 20:53:48,663 - pyskl - INFO - Epoch [100][500/523] lr: 3.751e-02, eta: 13:36:27, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.7256, top5_acc: 0.9359, loss_cls: 5.0230, loss: 5.0230 +2025-06-02 20:53:59,007 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-06-02 21:12:49,666 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:12:49,737 - pyskl - INFO - +top1_acc 0.3642 +top5_acc 0.5993 +2025-06-02 21:12:49,737 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 21:12:49,747 - pyskl - INFO - +mean_acc 0.3648 +2025-06-02 21:12:49,749 - pyskl - INFO - Epoch(val) [100][198] top1_acc: 0.3642, top5_acc: 0.5993, mean_class_accuracy: 0.3648 +2025-06-02 21:14:01,094 - pyskl - INFO - Epoch [101][100/523] lr: 3.746e-02, eta: 13:35:57, time: 0.713, data_time: 0.271, memory: 7964, top1_acc: 0.7466, top5_acc: 0.9559, loss_cls: 4.8388, loss: 4.8388 +2025-06-02 21:14:45,420 - pyskl - INFO - Epoch [101][200/523] lr: 3.741e-02, eta: 13:35:05, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7291, top5_acc: 0.9425, loss_cls: 4.8884, loss: 4.8884 +2025-06-02 21:15:28,885 - pyskl - INFO - Epoch [101][300/523] lr: 3.737e-02, eta: 13:34:12, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7284, top5_acc: 0.9453, loss_cls: 4.9174, loss: 4.9174 +2025-06-02 21:16:11,434 - pyskl - INFO - Epoch [101][400/523] lr: 3.733e-02, eta: 13:33:16, time: 0.425, data_time: 0.000, memory: 7964, top1_acc: 0.7253, top5_acc: 0.9484, loss_cls: 5.0268, loss: 5.0268 +2025-06-02 21:16:55,469 - pyskl - INFO - Epoch [101][500/523] lr: 3.728e-02, eta: 13:32:24, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7078, top5_acc: 0.9319, loss_cls: 5.1311, loss: 5.1311 +2025-06-02 21:17:06,343 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-06-02 21:17:36,101 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:17:36,173 - pyskl - INFO - +top1_acc 0.3937 +top5_acc 0.6361 +2025-06-02 21:17:36,173 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 21:17:36,182 - pyskl - INFO - +mean_acc 0.3953 +2025-06-02 21:17:36,184 - pyskl - INFO - Epoch(val) [101][198] top1_acc: 0.3937, top5_acc: 0.6361, mean_class_accuracy: 0.3953 +2025-06-02 21:18:47,422 - pyskl - INFO - Epoch [102][100/523] lr: 3.723e-02, eta: 13:31:53, time: 0.712, data_time: 0.271, memory: 7964, top1_acc: 0.7516, top5_acc: 0.9525, loss_cls: 4.7912, loss: 4.7912 +2025-06-02 21:19:31,240 - pyskl - INFO - Epoch [102][200/523] lr: 3.719e-02, eta: 13:31:00, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7212, top5_acc: 0.9453, loss_cls: 4.9071, loss: 4.9071 +2025-06-02 21:20:15,039 - pyskl - INFO - Epoch [102][300/523] lr: 3.714e-02, eta: 13:30:08, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7297, top5_acc: 0.9422, loss_cls: 4.9536, loss: 4.9536 +2025-06-02 21:20:59,232 - pyskl - INFO - Epoch [102][400/523] lr: 3.710e-02, eta: 13:29:16, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7144, top5_acc: 0.9400, loss_cls: 4.9741, loss: 4.9741 +2025-06-02 21:21:43,661 - pyskl - INFO - Epoch [102][500/523] lr: 3.705e-02, eta: 13:28:24, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7306, top5_acc: 0.9469, loss_cls: 4.8845, loss: 4.8845 +2025-06-02 21:21:54,720 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-06-02 21:22:23,577 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:22:23,652 - pyskl - INFO - +top1_acc 0.3869 +top5_acc 0.6277 +2025-06-02 21:22:23,652 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 21:22:23,661 - pyskl - INFO - +mean_acc 0.3871 +2025-06-02 21:22:23,663 - pyskl - INFO - Epoch(val) [102][198] top1_acc: 0.3869, top5_acc: 0.6277, mean_class_accuracy: 0.3871 +2025-06-02 21:23:35,286 - pyskl - INFO - Epoch [103][100/523] lr: 3.700e-02, eta: 13:27:54, time: 0.716, data_time: 0.271, memory: 7964, top1_acc: 0.7594, top5_acc: 0.9484, loss_cls: 4.7193, loss: 4.7193 +2025-06-02 21:24:19,888 - pyskl - INFO - Epoch [103][200/523] lr: 3.696e-02, eta: 13:27:02, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7450, top5_acc: 0.9525, loss_cls: 4.8280, loss: 4.8280 +2025-06-02 21:25:03,951 - pyskl - INFO - Epoch [103][300/523] lr: 3.691e-02, eta: 13:26:10, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7281, top5_acc: 0.9487, loss_cls: 4.8872, loss: 4.8872 +2025-06-02 21:25:48,224 - pyskl - INFO - Epoch [103][400/523] lr: 3.687e-02, eta: 13:25:18, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7172, top5_acc: 0.9406, loss_cls: 5.0730, loss: 5.0730 +2025-06-02 21:26:32,882 - pyskl - INFO - Epoch [103][500/523] lr: 3.682e-02, eta: 13:24:27, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7156, top5_acc: 0.9359, loss_cls: 5.0147, loss: 5.0147 +2025-06-02 21:26:44,225 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-06-02 21:27:12,539 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:27:12,617 - pyskl - INFO - +top1_acc 0.3881 +top5_acc 0.6304 +2025-06-02 21:27:12,617 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 21:27:12,628 - pyskl - INFO - +mean_acc 0.3891 +2025-06-02 21:27:12,631 - pyskl - INFO - Epoch(val) [103][198] top1_acc: 0.3881, top5_acc: 0.6304, mean_class_accuracy: 0.3891 +2025-06-02 21:28:22,996 - pyskl - INFO - Epoch [104][100/523] lr: 3.677e-02, eta: 13:23:54, time: 0.704, data_time: 0.269, memory: 7964, top1_acc: 0.7562, top5_acc: 0.9537, loss_cls: 4.8263, loss: 4.8263 +2025-06-02 21:29:06,828 - pyskl - INFO - Epoch [104][200/523] lr: 3.673e-02, eta: 13:23:01, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7394, top5_acc: 0.9481, loss_cls: 4.7865, loss: 4.7865 +2025-06-02 21:29:51,057 - pyskl - INFO - Epoch [104][300/523] lr: 3.668e-02, eta: 13:22:10, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7300, top5_acc: 0.9437, loss_cls: 4.9077, loss: 4.9077 +2025-06-02 21:30:34,808 - pyskl - INFO - Epoch [104][400/523] lr: 3.664e-02, eta: 13:21:17, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7191, top5_acc: 0.9406, loss_cls: 4.9936, loss: 4.9936 +2025-06-02 21:31:18,079 - pyskl - INFO - Epoch [104][500/523] lr: 3.659e-02, eta: 13:20:23, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7269, top5_acc: 0.9375, loss_cls: 4.9225, loss: 4.9225 +2025-06-02 21:31:29,240 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-06-02 21:31:57,384 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:31:57,462 - pyskl - INFO - +top1_acc 0.4018 +top5_acc 0.6195 +2025-06-02 21:31:57,462 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 21:31:57,472 - pyskl - INFO - +mean_acc 0.4011 +2025-06-02 21:31:57,474 - pyskl - INFO - Epoch(val) [104][198] top1_acc: 0.4018, top5_acc: 0.6195, mean_class_accuracy: 0.4011 +2025-06-02 21:33:07,533 - pyskl - INFO - Epoch [105][100/523] lr: 3.654e-02, eta: 13:19:49, time: 0.701, data_time: 0.259, memory: 7964, top1_acc: 0.7591, top5_acc: 0.9550, loss_cls: 4.6816, loss: 4.6816 +2025-06-02 21:33:51,081 - pyskl - INFO - Epoch [105][200/523] lr: 3.649e-02, eta: 13:18:56, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7447, top5_acc: 0.9528, loss_cls: 4.7603, loss: 4.7603 +2025-06-02 21:34:34,589 - pyskl - INFO - Epoch [105][300/523] lr: 3.645e-02, eta: 13:18:03, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7394, top5_acc: 0.9494, loss_cls: 4.9110, loss: 4.9110 +2025-06-02 21:35:18,700 - pyskl - INFO - Epoch [105][400/523] lr: 3.641e-02, eta: 13:17:11, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7191, top5_acc: 0.9387, loss_cls: 5.0107, loss: 5.0107 +2025-06-02 21:36:02,972 - pyskl - INFO - Epoch [105][500/523] lr: 3.636e-02, eta: 13:16:19, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7238, top5_acc: 0.9359, loss_cls: 5.0665, loss: 5.0665 +2025-06-02 21:36:14,294 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-06-02 21:36:43,193 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:36:43,275 - pyskl - INFO - +top1_acc 0.3958 +top5_acc 0.6299 +2025-06-02 21:36:43,276 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 21:36:43,285 - pyskl - INFO - +mean_acc 0.3968 +2025-06-02 21:36:43,288 - pyskl - INFO - Epoch(val) [105][198] top1_acc: 0.3958, top5_acc: 0.6299, mean_class_accuracy: 0.3968 +2025-06-02 21:37:54,237 - pyskl - INFO - Epoch [106][100/523] lr: 3.631e-02, eta: 13:15:46, time: 0.709, data_time: 0.266, memory: 7964, top1_acc: 0.7397, top5_acc: 0.9513, loss_cls: 4.8120, loss: 4.8120 +2025-06-02 21:38:38,444 - pyskl - INFO - Epoch [106][200/523] lr: 3.626e-02, eta: 13:14:55, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7588, top5_acc: 0.9550, loss_cls: 4.7898, loss: 4.7898 +2025-06-02 21:39:22,643 - pyskl - INFO - Epoch [106][300/523] lr: 3.622e-02, eta: 13:14:03, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7438, top5_acc: 0.9503, loss_cls: 4.7994, loss: 4.7994 +2025-06-02 21:40:07,093 - pyskl - INFO - Epoch [106][400/523] lr: 3.617e-02, eta: 13:13:12, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7294, top5_acc: 0.9416, loss_cls: 4.8633, loss: 4.8633 +2025-06-02 21:40:50,447 - pyskl - INFO - Epoch [106][500/523] lr: 3.613e-02, eta: 13:12:18, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7034, top5_acc: 0.9397, loss_cls: 4.9635, loss: 4.9635 +2025-06-02 21:41:01,317 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-06-02 21:41:30,040 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:41:30,109 - pyskl - INFO - +top1_acc 0.3858 +top5_acc 0.6184 +2025-06-02 21:41:30,109 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 21:41:30,118 - pyskl - INFO - +mean_acc 0.3865 +2025-06-02 21:41:30,120 - pyskl - INFO - Epoch(val) [106][198] top1_acc: 0.3858, top5_acc: 0.6184, mean_class_accuracy: 0.3865 +2025-06-02 21:42:40,879 - pyskl - INFO - Epoch [107][100/523] lr: 3.607e-02, eta: 13:11:45, time: 0.708, data_time: 0.261, memory: 7964, top1_acc: 0.7512, top5_acc: 0.9587, loss_cls: 4.6920, loss: 4.6920 +2025-06-02 21:43:25,218 - pyskl - INFO - Epoch [107][200/523] lr: 3.603e-02, eta: 13:10:53, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7456, top5_acc: 0.9494, loss_cls: 4.7824, loss: 4.7824 +2025-06-02 21:44:09,555 - pyskl - INFO - Epoch [107][300/523] lr: 3.598e-02, eta: 13:10:02, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7259, top5_acc: 0.9422, loss_cls: 4.8991, loss: 4.8991 +2025-06-02 21:44:54,196 - pyskl - INFO - Epoch [107][400/523] lr: 3.594e-02, eta: 13:09:11, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7200, top5_acc: 0.9503, loss_cls: 4.9033, loss: 4.9033 +2025-06-02 21:45:38,476 - pyskl - INFO - Epoch [107][500/523] lr: 3.589e-02, eta: 13:08:19, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7034, top5_acc: 0.9419, loss_cls: 4.9305, loss: 4.9305 +2025-06-02 21:45:49,513 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-06-02 21:46:17,913 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:46:17,988 - pyskl - INFO - +top1_acc 0.3813 +top5_acc 0.6119 +2025-06-02 21:46:17,988 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 21:46:17,997 - pyskl - INFO - +mean_acc 0.3809 +2025-06-02 21:46:17,999 - pyskl - INFO - Epoch(val) [107][198] top1_acc: 0.3813, top5_acc: 0.6119, mean_class_accuracy: 0.3809 +2025-06-02 21:47:27,866 - pyskl - INFO - Epoch [108][100/523] lr: 3.584e-02, eta: 13:07:44, time: 0.699, data_time: 0.265, memory: 7964, top1_acc: 0.7388, top5_acc: 0.9509, loss_cls: 4.8069, loss: 4.8069 +2025-06-02 21:48:11,995 - pyskl - INFO - Epoch [108][200/523] lr: 3.579e-02, eta: 13:06:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7509, top5_acc: 0.9491, loss_cls: 4.8285, loss: 4.8285 +2025-06-02 21:48:56,601 - pyskl - INFO - Epoch [108][300/523] lr: 3.575e-02, eta: 13:06:01, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7512, top5_acc: 0.9553, loss_cls: 4.8475, loss: 4.8475 +2025-06-02 21:49:40,936 - pyskl - INFO - Epoch [108][400/523] lr: 3.570e-02, eta: 13:05:10, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7325, top5_acc: 0.9500, loss_cls: 4.8637, loss: 4.8637 +2025-06-02 21:50:25,591 - pyskl - INFO - Epoch [108][500/523] lr: 3.566e-02, eta: 13:04:19, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7281, top5_acc: 0.9450, loss_cls: 4.9775, loss: 4.9775 +2025-06-02 21:50:36,632 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-06-02 21:51:05,039 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:51:05,108 - pyskl - INFO - +top1_acc 0.4018 +top5_acc 0.6380 +2025-06-02 21:51:05,108 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 21:51:05,115 - pyskl - INFO - +mean_acc 0.4016 +2025-06-02 21:51:05,116 - pyskl - INFO - Epoch(val) [108][198] top1_acc: 0.4018, top5_acc: 0.6380, mean_class_accuracy: 0.4016 +2025-06-02 21:52:15,748 - pyskl - INFO - Epoch [109][100/523] lr: 3.560e-02, eta: 13:03:44, time: 0.706, data_time: 0.264, memory: 7964, top1_acc: 0.7519, top5_acc: 0.9475, loss_cls: 4.7394, loss: 4.7394 +2025-06-02 21:52:59,837 - pyskl - INFO - Epoch [109][200/523] lr: 3.555e-02, eta: 13:02:53, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7325, top5_acc: 0.9487, loss_cls: 4.8890, loss: 4.8890 +2025-06-02 21:53:44,158 - pyskl - INFO - Epoch [109][300/523] lr: 3.551e-02, eta: 13:02:01, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7297, top5_acc: 0.9453, loss_cls: 4.8827, loss: 4.8827 +2025-06-02 21:54:28,289 - pyskl - INFO - Epoch [109][400/523] lr: 3.546e-02, eta: 13:01:09, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7316, top5_acc: 0.9450, loss_cls: 4.9208, loss: 4.9208 +2025-06-02 21:55:11,873 - pyskl - INFO - Epoch [109][500/523] lr: 3.542e-02, eta: 13:00:17, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7403, top5_acc: 0.9456, loss_cls: 4.8357, loss: 4.8357 +2025-06-02 21:55:22,566 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-06-02 21:55:51,519 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:55:51,589 - pyskl - INFO - +top1_acc 0.3956 +top5_acc 0.6171 +2025-06-02 21:55:51,590 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 21:55:51,598 - pyskl - INFO - +mean_acc 0.3920 +2025-06-02 21:55:51,600 - pyskl - INFO - Epoch(val) [109][198] top1_acc: 0.3956, top5_acc: 0.6171, mean_class_accuracy: 0.3920 +2025-06-02 21:57:03,022 - pyskl - INFO - Epoch [110][100/523] lr: 3.536e-02, eta: 12:59:43, time: 0.714, data_time: 0.270, memory: 7964, top1_acc: 0.7547, top5_acc: 0.9613, loss_cls: 4.7286, loss: 4.7286 +2025-06-02 21:57:45,617 - pyskl - INFO - Epoch [110][200/523] lr: 3.532e-02, eta: 12:58:49, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.7322, top5_acc: 0.9506, loss_cls: 4.8701, loss: 4.8701 +2025-06-02 21:58:29,905 - pyskl - INFO - Epoch [110][300/523] lr: 3.527e-02, eta: 12:57:58, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7338, top5_acc: 0.9481, loss_cls: 4.8767, loss: 4.8767 +2025-06-02 21:59:14,410 - pyskl - INFO - Epoch [110][400/523] lr: 3.523e-02, eta: 12:57:07, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7378, top5_acc: 0.9419, loss_cls: 4.9145, loss: 4.9145 +2025-06-02 21:59:59,037 - pyskl - INFO - Epoch [110][500/523] lr: 3.518e-02, eta: 12:56:16, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7250, top5_acc: 0.9434, loss_cls: 4.9724, loss: 4.9724 +2025-06-02 22:00:09,998 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-06-02 22:00:38,482 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:00:38,556 - pyskl - INFO - +top1_acc 0.3910 +top5_acc 0.6231 +2025-06-02 22:00:38,556 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:00:38,565 - pyskl - INFO - +mean_acc 0.3907 +2025-06-02 22:00:38,567 - pyskl - INFO - Epoch(val) [110][198] top1_acc: 0.3910, top5_acc: 0.6231, mean_class_accuracy: 0.3907 +2025-06-02 22:01:49,061 - pyskl - INFO - Epoch [111][100/523] lr: 3.512e-02, eta: 12:55:40, time: 0.705, data_time: 0.260, memory: 7964, top1_acc: 0.7544, top5_acc: 0.9563, loss_cls: 4.7400, loss: 4.7400 +2025-06-02 22:02:32,406 - pyskl - INFO - Epoch [111][200/523] lr: 3.508e-02, eta: 12:54:47, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7547, top5_acc: 0.9497, loss_cls: 4.8115, loss: 4.8115 +2025-06-02 22:03:16,883 - pyskl - INFO - Epoch [111][300/523] lr: 3.503e-02, eta: 12:53:56, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7484, top5_acc: 0.9547, loss_cls: 4.7798, loss: 4.7798 +2025-06-02 22:04:01,349 - pyskl - INFO - Epoch [111][400/523] lr: 3.499e-02, eta: 12:53:05, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7234, top5_acc: 0.9416, loss_cls: 4.8264, loss: 4.8264 +2025-06-02 22:04:45,950 - pyskl - INFO - Epoch [111][500/523] lr: 3.494e-02, eta: 12:52:15, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7347, top5_acc: 0.9487, loss_cls: 4.9643, loss: 4.9643 +2025-06-02 22:04:56,887 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-06-02 22:05:25,340 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:05:25,411 - pyskl - INFO - +top1_acc 0.4094 +top5_acc 0.6418 +2025-06-02 22:05:25,412 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:05:25,420 - pyskl - INFO - +mean_acc 0.4099 +2025-06-02 22:05:25,490 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_91.pth was removed +2025-06-02 22:05:27,184 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2025-06-02 22:05:27,185 - pyskl - INFO - Best top1_acc is 0.4094 at 111 epoch. +2025-06-02 22:05:27,188 - pyskl - INFO - Epoch(val) [111][198] top1_acc: 0.4094, top5_acc: 0.6418, mean_class_accuracy: 0.4099 +2025-06-02 22:06:35,841 - pyskl - INFO - Epoch [112][100/523] lr: 3.488e-02, eta: 12:51:36, time: 0.686, data_time: 0.254, memory: 7964, top1_acc: 0.7672, top5_acc: 0.9653, loss_cls: 4.7572, loss: 4.7572 +2025-06-02 22:07:18,828 - pyskl - INFO - Epoch [112][200/523] lr: 3.484e-02, eta: 12:50:42, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7462, top5_acc: 0.9472, loss_cls: 4.7798, loss: 4.7798 +2025-06-02 22:08:02,481 - pyskl - INFO - Epoch [112][300/523] lr: 3.479e-02, eta: 12:49:50, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7416, top5_acc: 0.9466, loss_cls: 4.8613, loss: 4.8613 +2025-06-02 22:08:46,619 - pyskl - INFO - Epoch [112][400/523] lr: 3.475e-02, eta: 12:48:58, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7381, top5_acc: 0.9422, loss_cls: 4.8876, loss: 4.8876 +2025-06-02 22:09:30,793 - pyskl - INFO - Epoch [112][500/523] lr: 3.470e-02, eta: 12:48:07, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7488, top5_acc: 0.9447, loss_cls: 4.8509, loss: 4.8509 +2025-06-02 22:09:41,790 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-06-02 22:10:10,279 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:10:10,349 - pyskl - INFO - +top1_acc 0.3691 +top5_acc 0.6046 +2025-06-02 22:10:10,349 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:10:10,356 - pyskl - INFO - +mean_acc 0.3677 +2025-06-02 22:10:10,357 - pyskl - INFO - Epoch(val) [112][198] top1_acc: 0.3691, top5_acc: 0.6046, mean_class_accuracy: 0.3677 +2025-06-02 22:11:19,071 - pyskl - INFO - Epoch [113][100/523] lr: 3.464e-02, eta: 12:47:28, time: 0.687, data_time: 0.254, memory: 7964, top1_acc: 0.7772, top5_acc: 0.9537, loss_cls: 4.7637, loss: 4.7637 +2025-06-02 22:12:03,171 - pyskl - INFO - Epoch [113][200/523] lr: 3.460e-02, eta: 12:46:36, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7591, top5_acc: 0.9484, loss_cls: 4.8209, loss: 4.8209 +2025-06-02 22:12:47,643 - pyskl - INFO - Epoch [113][300/523] lr: 3.455e-02, eta: 12:45:46, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7384, top5_acc: 0.9491, loss_cls: 4.7692, loss: 4.7692 +2025-06-02 22:13:32,022 - pyskl - INFO - Epoch [113][400/523] lr: 3.450e-02, eta: 12:44:55, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7522, top5_acc: 0.9528, loss_cls: 4.7852, loss: 4.7852 +2025-06-02 22:14:16,732 - pyskl - INFO - Epoch [113][500/523] lr: 3.446e-02, eta: 12:44:04, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7319, top5_acc: 0.9491, loss_cls: 4.8248, loss: 4.8248 +2025-06-02 22:14:27,497 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-06-02 22:14:56,184 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:14:56,255 - pyskl - INFO - +top1_acc 0.4037 +top5_acc 0.6196 +2025-06-02 22:14:56,255 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:14:56,264 - pyskl - INFO - +mean_acc 0.4027 +2025-06-02 22:14:56,266 - pyskl - INFO - Epoch(val) [113][198] top1_acc: 0.4037, top5_acc: 0.6196, mean_class_accuracy: 0.4027 +2025-06-02 22:16:06,871 - pyskl - INFO - Epoch [114][100/523] lr: 3.440e-02, eta: 12:43:28, time: 0.706, data_time: 0.252, memory: 7964, top1_acc: 0.7666, top5_acc: 0.9575, loss_cls: 4.6947, loss: 4.6947 +2025-06-02 22:16:51,519 - pyskl - INFO - Epoch [114][200/523] lr: 3.435e-02, eta: 12:42:37, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7453, top5_acc: 0.9584, loss_cls: 4.8089, loss: 4.8089 +2025-06-02 22:17:36,062 - pyskl - INFO - Epoch [114][300/523] lr: 3.431e-02, eta: 12:41:47, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7431, top5_acc: 0.9597, loss_cls: 4.7813, loss: 4.7813 +2025-06-02 22:18:20,492 - pyskl - INFO - Epoch [114][400/523] lr: 3.426e-02, eta: 12:40:56, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7406, top5_acc: 0.9453, loss_cls: 4.8613, loss: 4.8613 +2025-06-02 22:19:05,257 - pyskl - INFO - Epoch [114][500/523] lr: 3.421e-02, eta: 12:40:05, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7303, top5_acc: 0.9428, loss_cls: 4.9512, loss: 4.9512 +2025-06-02 22:19:16,155 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-06-02 22:19:44,651 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:19:44,718 - pyskl - INFO - +top1_acc 0.3837 +top5_acc 0.6177 +2025-06-02 22:19:44,719 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:19:44,725 - pyskl - INFO - +mean_acc 0.3838 +2025-06-02 22:19:44,727 - pyskl - INFO - Epoch(val) [114][198] top1_acc: 0.3837, top5_acc: 0.6177, mean_class_accuracy: 0.3838 +2025-06-02 22:20:54,283 - pyskl - INFO - Epoch [115][100/523] lr: 3.416e-02, eta: 12:39:27, time: 0.696, data_time: 0.256, memory: 7964, top1_acc: 0.7697, top5_acc: 0.9587, loss_cls: 4.6956, loss: 4.6956 +2025-06-02 22:21:38,499 - pyskl - INFO - Epoch [115][200/523] lr: 3.411e-02, eta: 12:38:36, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7606, top5_acc: 0.9578, loss_cls: 4.6764, loss: 4.6764 +2025-06-02 22:22:23,187 - pyskl - INFO - Epoch [115][300/523] lr: 3.406e-02, eta: 12:37:45, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7438, top5_acc: 0.9463, loss_cls: 4.8529, loss: 4.8529 +2025-06-02 22:23:07,874 - pyskl - INFO - Epoch [115][400/523] lr: 3.402e-02, eta: 12:36:55, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7434, top5_acc: 0.9500, loss_cls: 4.7654, loss: 4.7654 +2025-06-02 22:23:52,654 - pyskl - INFO - Epoch [115][500/523] lr: 3.397e-02, eta: 12:36:05, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7294, top5_acc: 0.9425, loss_cls: 5.0043, loss: 5.0043 +2025-06-02 22:24:03,517 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-06-02 22:24:32,303 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:24:32,373 - pyskl - INFO - +top1_acc 0.3934 +top5_acc 0.6062 +2025-06-02 22:24:32,373 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:24:32,382 - pyskl - INFO - +mean_acc 0.3941 +2025-06-02 22:24:32,384 - pyskl - INFO - Epoch(val) [115][198] top1_acc: 0.3934, top5_acc: 0.6062, mean_class_accuracy: 0.3941 +2025-06-02 22:25:42,727 - pyskl - INFO - Epoch [116][100/523] lr: 3.391e-02, eta: 12:35:27, time: 0.703, data_time: 0.256, memory: 7964, top1_acc: 0.7738, top5_acc: 0.9634, loss_cls: 4.5850, loss: 4.5850 +2025-06-02 22:26:26,951 - pyskl - INFO - Epoch [116][200/523] lr: 3.387e-02, eta: 12:34:36, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7509, top5_acc: 0.9578, loss_cls: 4.8148, loss: 4.8148 +2025-06-02 22:27:11,400 - pyskl - INFO - Epoch [116][300/523] lr: 3.382e-02, eta: 12:33:45, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7322, top5_acc: 0.9497, loss_cls: 4.7910, loss: 4.7910 +2025-06-02 22:27:55,701 - pyskl - INFO - Epoch [116][400/523] lr: 3.377e-02, eta: 12:32:54, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7494, top5_acc: 0.9553, loss_cls: 4.7204, loss: 4.7204 +2025-06-02 22:28:39,802 - pyskl - INFO - Epoch [116][500/523] lr: 3.373e-02, eta: 12:32:03, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7294, top5_acc: 0.9478, loss_cls: 4.9049, loss: 4.9049 +2025-06-02 22:28:50,317 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-06-02 22:29:18,751 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:29:18,819 - pyskl - INFO - +top1_acc 0.3908 +top5_acc 0.5985 +2025-06-02 22:29:18,820 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:29:18,827 - pyskl - INFO - +mean_acc 0.3910 +2025-06-02 22:29:18,828 - pyskl - INFO - Epoch(val) [116][198] top1_acc: 0.3908, top5_acc: 0.5985, mean_class_accuracy: 0.3910 +2025-06-02 22:30:28,760 - pyskl - INFO - Epoch [117][100/523] lr: 3.367e-02, eta: 12:31:25, time: 0.699, data_time: 0.254, memory: 7964, top1_acc: 0.7831, top5_acc: 0.9606, loss_cls: 4.6497, loss: 4.6497 +2025-06-02 22:31:13,240 - pyskl - INFO - Epoch [117][200/523] lr: 3.362e-02, eta: 12:30:34, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7556, top5_acc: 0.9509, loss_cls: 4.8086, loss: 4.8086 +2025-06-02 22:31:57,213 - pyskl - INFO - Epoch [117][300/523] lr: 3.357e-02, eta: 12:29:43, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7434, top5_acc: 0.9531, loss_cls: 4.7828, loss: 4.7828 +2025-06-02 22:32:41,121 - pyskl - INFO - Epoch [117][400/523] lr: 3.353e-02, eta: 12:28:51, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7578, top5_acc: 0.9497, loss_cls: 4.7594, loss: 4.7594 +2025-06-02 22:33:25,102 - pyskl - INFO - Epoch [117][500/523] lr: 3.348e-02, eta: 12:28:00, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7350, top5_acc: 0.9472, loss_cls: 4.7569, loss: 4.7569 +2025-06-02 22:33:36,085 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-06-02 22:34:04,405 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:34:04,474 - pyskl - INFO - +top1_acc 0.4051 +top5_acc 0.6444 +2025-06-02 22:34:04,475 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:34:04,482 - pyskl - INFO - +mean_acc 0.4037 +2025-06-02 22:34:04,484 - pyskl - INFO - Epoch(val) [117][198] top1_acc: 0.4051, top5_acc: 0.6444, mean_class_accuracy: 0.4037 +2025-06-02 22:35:13,529 - pyskl - INFO - Epoch [118][100/523] lr: 3.342e-02, eta: 12:27:20, time: 0.690, data_time: 0.252, memory: 7964, top1_acc: 0.7797, top5_acc: 0.9637, loss_cls: 4.5814, loss: 4.5814 +2025-06-02 22:35:57,670 - pyskl - INFO - Epoch [118][200/523] lr: 3.337e-02, eta: 12:26:28, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7500, top5_acc: 0.9591, loss_cls: 4.6832, loss: 4.6832 +2025-06-02 22:36:42,292 - pyskl - INFO - Epoch [118][300/523] lr: 3.333e-02, eta: 12:25:38, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7416, top5_acc: 0.9491, loss_cls: 4.8421, loss: 4.8421 +2025-06-02 22:37:26,702 - pyskl - INFO - Epoch [118][400/523] lr: 3.328e-02, eta: 12:24:47, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7581, top5_acc: 0.9550, loss_cls: 4.6473, loss: 4.6473 +2025-06-02 22:38:11,338 - pyskl - INFO - Epoch [118][500/523] lr: 3.323e-02, eta: 12:23:57, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7294, top5_acc: 0.9472, loss_cls: 4.8214, loss: 4.8214 +2025-06-02 22:38:22,298 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-06-02 22:38:51,107 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:38:51,179 - pyskl - INFO - +top1_acc 0.3929 +top5_acc 0.6333 +2025-06-02 22:38:51,179 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:38:51,188 - pyskl - INFO - +mean_acc 0.3937 +2025-06-02 22:38:51,189 - pyskl - INFO - Epoch(val) [118][198] top1_acc: 0.3929, top5_acc: 0.6333, mean_class_accuracy: 0.3937 +2025-06-02 22:40:01,276 - pyskl - INFO - Epoch [119][100/523] lr: 3.317e-02, eta: 12:23:18, time: 0.701, data_time: 0.259, memory: 7964, top1_acc: 0.7784, top5_acc: 0.9616, loss_cls: 4.6182, loss: 4.6182 +2025-06-02 22:40:45,917 - pyskl - INFO - Epoch [119][200/523] lr: 3.313e-02, eta: 12:22:28, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7659, top5_acc: 0.9581, loss_cls: 4.6634, loss: 4.6634 +2025-06-02 22:41:30,533 - pyskl - INFO - Epoch [119][300/523] lr: 3.308e-02, eta: 12:21:38, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7481, top5_acc: 0.9550, loss_cls: 4.6220, loss: 4.6220 +2025-06-02 22:42:15,237 - pyskl - INFO - Epoch [119][400/523] lr: 3.303e-02, eta: 12:20:47, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7503, top5_acc: 0.9484, loss_cls: 4.7787, loss: 4.7787 +2025-06-02 22:42:59,957 - pyskl - INFO - Epoch [119][500/523] lr: 3.299e-02, eta: 12:19:57, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7612, top5_acc: 0.9537, loss_cls: 4.8346, loss: 4.8346 +2025-06-02 22:43:11,014 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-06-02 22:43:39,446 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:43:39,523 - pyskl - INFO - +top1_acc 0.4088 +top5_acc 0.6410 +2025-06-02 22:43:39,523 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:43:39,531 - pyskl - INFO - +mean_acc 0.4071 +2025-06-02 22:43:39,532 - pyskl - INFO - Epoch(val) [119][198] top1_acc: 0.4088, top5_acc: 0.6410, mean_class_accuracy: 0.4071 +2025-06-02 22:44:49,172 - pyskl - INFO - Epoch [120][100/523] lr: 3.293e-02, eta: 12:19:18, time: 0.696, data_time: 0.254, memory: 7964, top1_acc: 0.7694, top5_acc: 0.9584, loss_cls: 4.6080, loss: 4.6080 +2025-06-02 22:45:34,021 - pyskl - INFO - Epoch [120][200/523] lr: 3.288e-02, eta: 12:18:28, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7647, top5_acc: 0.9587, loss_cls: 4.6552, loss: 4.6552 +2025-06-02 22:46:18,867 - pyskl - INFO - Epoch [120][300/523] lr: 3.283e-02, eta: 12:17:38, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7575, top5_acc: 0.9525, loss_cls: 4.6845, loss: 4.6845 +2025-06-02 22:47:03,330 - pyskl - INFO - Epoch [120][400/523] lr: 3.278e-02, eta: 12:16:47, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7516, top5_acc: 0.9491, loss_cls: 4.8108, loss: 4.8108 +2025-06-02 22:47:47,311 - pyskl - INFO - Epoch [120][500/523] lr: 3.274e-02, eta: 12:15:56, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7416, top5_acc: 0.9481, loss_cls: 4.8061, loss: 4.8061 +2025-06-02 22:47:58,097 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-06-02 22:48:26,421 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:48:26,491 - pyskl - INFO - +top1_acc 0.3804 +top5_acc 0.6119 +2025-06-02 22:48:26,491 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:48:26,498 - pyskl - INFO - +mean_acc 0.3810 +2025-06-02 22:48:26,500 - pyskl - INFO - Epoch(val) [120][198] top1_acc: 0.3804, top5_acc: 0.6119, mean_class_accuracy: 0.3810 +2025-06-02 22:49:36,247 - pyskl - INFO - Epoch [121][100/523] lr: 3.268e-02, eta: 12:15:16, time: 0.697, data_time: 0.256, memory: 7964, top1_acc: 0.7828, top5_acc: 0.9625, loss_cls: 4.5433, loss: 4.5433 +2025-06-02 22:50:21,082 - pyskl - INFO - Epoch [121][200/523] lr: 3.263e-02, eta: 12:14:26, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7638, top5_acc: 0.9606, loss_cls: 4.7513, loss: 4.7513 +2025-06-02 22:51:05,882 - pyskl - INFO - Epoch [121][300/523] lr: 3.258e-02, eta: 12:13:36, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7559, top5_acc: 0.9541, loss_cls: 4.7210, loss: 4.7210 +2025-06-02 22:51:50,565 - pyskl - INFO - Epoch [121][400/523] lr: 3.254e-02, eta: 12:12:46, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7469, top5_acc: 0.9563, loss_cls: 4.6742, loss: 4.6742 +2025-06-02 22:52:34,793 - pyskl - INFO - Epoch [121][500/523] lr: 3.249e-02, eta: 12:11:55, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7575, top5_acc: 0.9506, loss_cls: 4.7168, loss: 4.7168 +2025-06-02 22:52:45,218 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-06-02 22:53:13,532 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:53:13,601 - pyskl - INFO - +top1_acc 0.4072 +top5_acc 0.6483 +2025-06-02 22:53:13,601 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:53:13,608 - pyskl - INFO - +mean_acc 0.4064 +2025-06-02 22:53:13,610 - pyskl - INFO - Epoch(val) [121][198] top1_acc: 0.4072, top5_acc: 0.6483, mean_class_accuracy: 0.4064 +2025-06-02 22:54:22,074 - pyskl - INFO - Epoch [122][100/523] lr: 3.243e-02, eta: 12:11:13, time: 0.685, data_time: 0.253, memory: 7964, top1_acc: 0.7809, top5_acc: 0.9641, loss_cls: 4.6133, loss: 4.6133 +2025-06-02 22:55:05,857 - pyskl - INFO - Epoch [122][200/523] lr: 3.238e-02, eta: 12:10:22, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7762, top5_acc: 0.9625, loss_cls: 4.4938, loss: 4.4938 +2025-06-02 22:55:49,601 - pyskl - INFO - Epoch [122][300/523] lr: 3.233e-02, eta: 12:09:30, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7541, top5_acc: 0.9556, loss_cls: 4.8015, loss: 4.8015 +2025-06-02 22:56:33,176 - pyskl - INFO - Epoch [122][400/523] lr: 3.229e-02, eta: 12:08:38, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7388, top5_acc: 0.9519, loss_cls: 4.8154, loss: 4.8154 +2025-06-02 22:57:17,315 - pyskl - INFO - Epoch [122][500/523] lr: 3.224e-02, eta: 12:07:47, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7550, top5_acc: 0.9513, loss_cls: 4.7430, loss: 4.7430 +2025-06-02 22:57:28,290 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-06-02 22:57:56,555 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:57:56,626 - pyskl - INFO - +top1_acc 0.4097 +top5_acc 0.6447 +2025-06-02 22:57:56,627 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 22:57:56,636 - pyskl - INFO - +mean_acc 0.4101 +2025-06-02 22:57:56,695 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_111.pth was removed +2025-06-02 22:57:58,415 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2025-06-02 22:57:58,417 - pyskl - INFO - Best top1_acc is 0.4097 at 122 epoch. +2025-06-02 22:57:58,419 - pyskl - INFO - Epoch(val) [122][198] top1_acc: 0.4097, top5_acc: 0.6447, mean_class_accuracy: 0.4101 +2025-06-02 22:59:06,933 - pyskl - INFO - Epoch [123][100/523] lr: 3.218e-02, eta: 12:07:05, time: 0.685, data_time: 0.246, memory: 7964, top1_acc: 0.7809, top5_acc: 0.9606, loss_cls: 4.4893, loss: 4.4893 +2025-06-02 22:59:51,621 - pyskl - INFO - Epoch [123][200/523] lr: 3.213e-02, eta: 12:06:15, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7716, top5_acc: 0.9616, loss_cls: 4.6725, loss: 4.6725 +2025-06-02 23:00:36,209 - pyskl - INFO - Epoch [123][300/523] lr: 3.208e-02, eta: 12:05:25, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7616, top5_acc: 0.9537, loss_cls: 4.6803, loss: 4.6803 +2025-06-02 23:01:19,657 - pyskl - INFO - Epoch [123][400/523] lr: 3.203e-02, eta: 12:04:33, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7550, top5_acc: 0.9581, loss_cls: 4.6917, loss: 4.6917 +2025-06-02 23:02:04,374 - pyskl - INFO - Epoch [123][500/523] lr: 3.199e-02, eta: 12:03:43, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7512, top5_acc: 0.9531, loss_cls: 4.7281, loss: 4.7281 +2025-06-02 23:02:15,150 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-06-02 23:02:43,448 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:02:43,518 - pyskl - INFO - +top1_acc 0.3832 +top5_acc 0.5971 +2025-06-02 23:02:43,518 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:02:43,526 - pyskl - INFO - +mean_acc 0.3831 +2025-06-02 23:02:43,528 - pyskl - INFO - Epoch(val) [123][198] top1_acc: 0.3832, top5_acc: 0.5971, mean_class_accuracy: 0.3831 +2025-06-02 23:03:52,872 - pyskl - INFO - Epoch [124][100/523] lr: 3.193e-02, eta: 12:03:02, time: 0.693, data_time: 0.255, memory: 7964, top1_acc: 0.7747, top5_acc: 0.9653, loss_cls: 4.5978, loss: 4.5978 +2025-06-02 23:04:37,380 - pyskl - INFO - Epoch [124][200/523] lr: 3.188e-02, eta: 12:02:12, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7669, top5_acc: 0.9644, loss_cls: 4.6485, loss: 4.6485 +2025-06-02 23:05:21,608 - pyskl - INFO - Epoch [124][300/523] lr: 3.183e-02, eta: 12:01:21, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7588, top5_acc: 0.9575, loss_cls: 4.6153, loss: 4.6153 +2025-06-02 23:06:05,376 - pyskl - INFO - Epoch [124][400/523] lr: 3.178e-02, eta: 12:00:30, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7522, top5_acc: 0.9544, loss_cls: 4.7021, loss: 4.7021 +2025-06-02 23:06:49,808 - pyskl - INFO - Epoch [124][500/523] lr: 3.173e-02, eta: 11:59:39, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7656, top5_acc: 0.9541, loss_cls: 4.7700, loss: 4.7700 +2025-06-02 23:07:00,676 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-06-02 23:07:29,170 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:07:29,239 - pyskl - INFO - +top1_acc 0.4105 +top5_acc 0.6393 +2025-06-02 23:07:29,239 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:07:29,248 - pyskl - INFO - +mean_acc 0.4109 +2025-06-02 23:07:29,306 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_122.pth was removed +2025-06-02 23:07:30,912 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. +2025-06-02 23:07:30,913 - pyskl - INFO - Best top1_acc is 0.4105 at 124 epoch. +2025-06-02 23:07:30,916 - pyskl - INFO - Epoch(val) [124][198] top1_acc: 0.4105, top5_acc: 0.6393, mean_class_accuracy: 0.4109 +2025-06-02 23:08:39,371 - pyskl - INFO - Epoch [125][100/523] lr: 3.168e-02, eta: 11:58:57, time: 0.684, data_time: 0.250, memory: 7964, top1_acc: 0.7959, top5_acc: 0.9700, loss_cls: 4.6392, loss: 4.6392 +2025-06-02 23:09:23,718 - pyskl - INFO - Epoch [125][200/523] lr: 3.163e-02, eta: 11:58:06, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7834, top5_acc: 0.9631, loss_cls: 4.5939, loss: 4.5939 +2025-06-02 23:10:08,565 - pyskl - INFO - Epoch [125][300/523] lr: 3.158e-02, eta: 11:57:16, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7609, top5_acc: 0.9547, loss_cls: 4.7048, loss: 4.7048 +2025-06-02 23:10:52,457 - pyskl - INFO - Epoch [125][400/523] lr: 3.153e-02, eta: 11:56:25, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7622, top5_acc: 0.9537, loss_cls: 4.6912, loss: 4.6912 +2025-06-02 23:11:36,715 - pyskl - INFO - Epoch [125][500/523] lr: 3.148e-02, eta: 11:55:35, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7456, top5_acc: 0.9497, loss_cls: 4.6877, loss: 4.6877 +2025-06-02 23:11:47,613 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-06-02 23:12:16,286 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:12:16,353 - pyskl - INFO - +top1_acc 0.4021 +top5_acc 0.6414 +2025-06-02 23:12:16,353 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:12:16,361 - pyskl - INFO - +mean_acc 0.4021 +2025-06-02 23:12:16,363 - pyskl - INFO - Epoch(val) [125][198] top1_acc: 0.4021, top5_acc: 0.6414, mean_class_accuracy: 0.4021 +2025-06-02 23:13:26,569 - pyskl - INFO - Epoch [126][100/523] lr: 3.142e-02, eta: 11:54:55, time: 0.702, data_time: 0.253, memory: 7964, top1_acc: 0.7953, top5_acc: 0.9669, loss_cls: 4.5876, loss: 4.5876 +2025-06-02 23:14:10,845 - pyskl - INFO - Epoch [126][200/523] lr: 3.137e-02, eta: 11:54:04, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7797, top5_acc: 0.9631, loss_cls: 4.5749, loss: 4.5749 +2025-06-02 23:14:55,345 - pyskl - INFO - Epoch [126][300/523] lr: 3.133e-02, eta: 11:53:14, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7750, top5_acc: 0.9572, loss_cls: 4.6972, loss: 4.6972 +2025-06-02 23:15:39,741 - pyskl - INFO - Epoch [126][400/523] lr: 3.128e-02, eta: 11:52:23, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7534, top5_acc: 0.9584, loss_cls: 4.7168, loss: 4.7168 +2025-06-02 23:16:24,424 - pyskl - INFO - Epoch [126][500/523] lr: 3.123e-02, eta: 11:51:33, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7447, top5_acc: 0.9559, loss_cls: 4.7453, loss: 4.7453 +2025-06-02 23:16:35,375 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-06-02 23:17:03,777 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:17:03,847 - pyskl - INFO - +top1_acc 0.3986 +top5_acc 0.6260 +2025-06-02 23:17:03,847 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:17:03,856 - pyskl - INFO - +mean_acc 0.3989 +2025-06-02 23:17:03,858 - pyskl - INFO - Epoch(val) [126][198] top1_acc: 0.3986, top5_acc: 0.6260, mean_class_accuracy: 0.3989 +2025-06-02 23:18:13,189 - pyskl - INFO - Epoch [127][100/523] lr: 3.117e-02, eta: 11:50:52, time: 0.693, data_time: 0.254, memory: 7964, top1_acc: 0.7797, top5_acc: 0.9637, loss_cls: 4.5105, loss: 4.5105 +2025-06-02 23:18:57,833 - pyskl - INFO - Epoch [127][200/523] lr: 3.112e-02, eta: 11:50:02, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7681, top5_acc: 0.9622, loss_cls: 4.6553, loss: 4.6553 +2025-06-02 23:19:42,393 - pyskl - INFO - Epoch [127][300/523] lr: 3.107e-02, eta: 11:49:11, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7703, top5_acc: 0.9606, loss_cls: 4.6005, loss: 4.6005 +2025-06-02 23:20:27,276 - pyskl - INFO - Epoch [127][400/523] lr: 3.102e-02, eta: 11:48:22, time: 0.449, data_time: 0.000, memory: 7964, top1_acc: 0.7678, top5_acc: 0.9550, loss_cls: 4.6487, loss: 4.6487 +2025-06-02 23:21:12,100 - pyskl - INFO - Epoch [127][500/523] lr: 3.098e-02, eta: 11:47:32, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7559, top5_acc: 0.9572, loss_cls: 4.6394, loss: 4.6394 +2025-06-02 23:21:23,094 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-06-02 23:21:51,701 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:21:51,776 - pyskl - INFO - +top1_acc 0.4040 +top5_acc 0.6242 +2025-06-02 23:21:51,776 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:21:51,783 - pyskl - INFO - +mean_acc 0.4042 +2025-06-02 23:21:51,785 - pyskl - INFO - Epoch(val) [127][198] top1_acc: 0.4040, top5_acc: 0.6242, mean_class_accuracy: 0.4042 +2025-06-02 23:23:01,735 - pyskl - INFO - Epoch [128][100/523] lr: 3.092e-02, eta: 11:46:51, time: 0.699, data_time: 0.254, memory: 7964, top1_acc: 0.7784, top5_acc: 0.9666, loss_cls: 4.5121, loss: 4.5121 +2025-06-02 23:23:44,747 - pyskl - INFO - Epoch [128][200/523] lr: 3.087e-02, eta: 11:45:59, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7691, top5_acc: 0.9616, loss_cls: 4.6296, loss: 4.6296 +2025-06-02 23:24:28,432 - pyskl - INFO - Epoch [128][300/523] lr: 3.082e-02, eta: 11:45:07, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7681, top5_acc: 0.9597, loss_cls: 4.5785, loss: 4.5785 +2025-06-02 23:25:12,085 - pyskl - INFO - Epoch [128][400/523] lr: 3.077e-02, eta: 11:44:16, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7562, top5_acc: 0.9572, loss_cls: 4.6407, loss: 4.6407 +2025-06-02 23:25:55,913 - pyskl - INFO - Epoch [128][500/523] lr: 3.072e-02, eta: 11:43:25, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7447, top5_acc: 0.9528, loss_cls: 4.8097, loss: 4.8097 +2025-06-02 23:26:06,765 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-06-02 23:26:35,534 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:26:35,605 - pyskl - INFO - +top1_acc 0.4130 +top5_acc 0.6440 +2025-06-02 23:26:35,606 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:26:35,614 - pyskl - INFO - +mean_acc 0.4117 +2025-06-02 23:26:35,678 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_124.pth was removed +2025-06-02 23:26:37,224 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. +2025-06-02 23:26:37,225 - pyskl - INFO - Best top1_acc is 0.4130 at 128 epoch. +2025-06-02 23:26:37,228 - pyskl - INFO - Epoch(val) [128][198] top1_acc: 0.4130, top5_acc: 0.6440, mean_class_accuracy: 0.4117 +2025-06-02 23:27:46,737 - pyskl - INFO - Epoch [129][100/523] lr: 3.066e-02, eta: 11:42:43, time: 0.695, data_time: 0.251, memory: 7964, top1_acc: 0.7909, top5_acc: 0.9659, loss_cls: 4.4722, loss: 4.4722 +2025-06-02 23:28:30,975 - pyskl - INFO - Epoch [129][200/523] lr: 3.061e-02, eta: 11:41:53, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7878, top5_acc: 0.9672, loss_cls: 4.5932, loss: 4.5932 +2025-06-02 23:29:14,210 - pyskl - INFO - Epoch [129][300/523] lr: 3.056e-02, eta: 11:41:01, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7762, top5_acc: 0.9594, loss_cls: 4.5821, loss: 4.5821 +2025-06-02 23:29:57,894 - pyskl - INFO - Epoch [129][400/523] lr: 3.051e-02, eta: 11:40:10, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7578, top5_acc: 0.9572, loss_cls: 4.6418, loss: 4.6418 +2025-06-02 23:30:41,097 - pyskl - INFO - Epoch [129][500/523] lr: 3.047e-02, eta: 11:39:18, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.7675, top5_acc: 0.9556, loss_cls: 4.7014, loss: 4.7014 +2025-06-02 23:30:51,887 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-06-02 23:31:20,689 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:31:20,757 - pyskl - INFO - +top1_acc 0.3934 +top5_acc 0.6295 +2025-06-02 23:31:20,757 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:31:20,764 - pyskl - INFO - +mean_acc 0.3915 +2025-06-02 23:31:20,766 - pyskl - INFO - Epoch(val) [129][198] top1_acc: 0.3934, top5_acc: 0.6295, mean_class_accuracy: 0.3915 +2025-06-02 23:32:31,824 - pyskl - INFO - Epoch [130][100/523] lr: 3.041e-02, eta: 11:38:38, time: 0.711, data_time: 0.249, memory: 7964, top1_acc: 0.7881, top5_acc: 0.9659, loss_cls: 4.4159, loss: 4.4159 +2025-06-02 23:33:16,435 - pyskl - INFO - Epoch [130][200/523] lr: 3.036e-02, eta: 11:37:48, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7781, top5_acc: 0.9637, loss_cls: 4.6556, loss: 4.6556 +2025-06-02 23:34:01,086 - pyskl - INFO - Epoch [130][300/523] lr: 3.031e-02, eta: 11:36:58, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7728, top5_acc: 0.9600, loss_cls: 4.6328, loss: 4.6328 +2025-06-02 23:34:45,909 - pyskl - INFO - Epoch [130][400/523] lr: 3.026e-02, eta: 11:36:08, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7659, top5_acc: 0.9622, loss_cls: 4.6234, loss: 4.6234 +2025-06-02 23:35:30,090 - pyskl - INFO - Epoch [130][500/523] lr: 3.021e-02, eta: 11:35:18, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7650, top5_acc: 0.9569, loss_cls: 4.6977, loss: 4.6977 +2025-06-02 23:35:40,875 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-06-02 23:36:09,521 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:36:09,592 - pyskl - INFO - +top1_acc 0.4256 +top5_acc 0.6334 +2025-06-02 23:36:09,593 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:36:09,600 - pyskl - INFO - +mean_acc 0.4252 +2025-06-02 23:36:09,659 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_128.pth was removed +2025-06-02 23:36:11,182 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2025-06-02 23:36:11,184 - pyskl - INFO - Best top1_acc is 0.4256 at 130 epoch. +2025-06-02 23:36:11,186 - pyskl - INFO - Epoch(val) [130][198] top1_acc: 0.4256, top5_acc: 0.6334, mean_class_accuracy: 0.4252 +2025-06-02 23:37:21,367 - pyskl - INFO - Epoch [131][100/523] lr: 3.015e-02, eta: 11:34:36, time: 0.702, data_time: 0.254, memory: 7964, top1_acc: 0.8078, top5_acc: 0.9691, loss_cls: 4.4189, loss: 4.4189 +2025-06-02 23:38:05,980 - pyskl - INFO - Epoch [131][200/523] lr: 3.010e-02, eta: 11:33:46, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7994, top5_acc: 0.9709, loss_cls: 4.4707, loss: 4.4707 +2025-06-02 23:38:49,342 - pyskl - INFO - Epoch [131][300/523] lr: 3.005e-02, eta: 11:32:55, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7581, top5_acc: 0.9553, loss_cls: 4.7436, loss: 4.7436 +2025-06-02 23:39:33,361 - pyskl - INFO - Epoch [131][400/523] lr: 3.000e-02, eta: 11:32:04, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7700, top5_acc: 0.9559, loss_cls: 4.6533, loss: 4.6533 +2025-06-02 23:40:16,509 - pyskl - INFO - Epoch [131][500/523] lr: 2.995e-02, eta: 11:31:12, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.7666, top5_acc: 0.9572, loss_cls: 4.5857, loss: 4.5857 +2025-06-02 23:40:27,019 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-06-02 23:40:55,482 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:40:55,551 - pyskl - INFO - +top1_acc 0.4153 +top5_acc 0.6322 +2025-06-02 23:40:55,552 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:40:55,559 - pyskl - INFO - +mean_acc 0.4153 +2025-06-02 23:40:55,561 - pyskl - INFO - Epoch(val) [131][198] top1_acc: 0.4153, top5_acc: 0.6322, mean_class_accuracy: 0.4153 +2025-06-02 23:42:06,184 - pyskl - INFO - Epoch [132][100/523] lr: 2.989e-02, eta: 11:30:31, time: 0.706, data_time: 0.261, memory: 7964, top1_acc: 0.7916, top5_acc: 0.9622, loss_cls: 4.4740, loss: 4.4740 +2025-06-02 23:42:51,188 - pyskl - INFO - Epoch [132][200/523] lr: 2.984e-02, eta: 11:29:42, time: 0.450, data_time: 0.000, memory: 7964, top1_acc: 0.7822, top5_acc: 0.9650, loss_cls: 4.5048, loss: 4.5048 +2025-06-02 23:43:35,451 - pyskl - INFO - Epoch [132][300/523] lr: 2.979e-02, eta: 11:28:52, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7728, top5_acc: 0.9613, loss_cls: 4.5820, loss: 4.5820 +2025-06-02 23:44:19,939 - pyskl - INFO - Epoch [132][400/523] lr: 2.975e-02, eta: 11:28:01, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7744, top5_acc: 0.9613, loss_cls: 4.6630, loss: 4.6630 +2025-06-02 23:45:04,407 - pyskl - INFO - Epoch [132][500/523] lr: 2.970e-02, eta: 11:27:11, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7616, top5_acc: 0.9575, loss_cls: 4.6921, loss: 4.6921 +2025-06-02 23:45:15,205 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-06-02 23:45:43,473 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:45:43,562 - pyskl - INFO - +top1_acc 0.3818 +top5_acc 0.6141 +2025-06-02 23:45:43,562 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:45:43,575 - pyskl - INFO - +mean_acc 0.3809 +2025-06-02 23:45:43,578 - pyskl - INFO - Epoch(val) [132][198] top1_acc: 0.3818, top5_acc: 0.6141, mean_class_accuracy: 0.3809 +2025-06-02 23:46:53,560 - pyskl - INFO - Epoch [133][100/523] lr: 2.964e-02, eta: 11:26:29, time: 0.700, data_time: 0.250, memory: 7964, top1_acc: 0.7903, top5_acc: 0.9650, loss_cls: 4.3739, loss: 4.3739 +2025-06-02 23:47:37,787 - pyskl - INFO - Epoch [133][200/523] lr: 2.959e-02, eta: 11:25:39, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7969, top5_acc: 0.9672, loss_cls: 4.5080, loss: 4.5080 +2025-06-02 23:48:21,532 - pyskl - INFO - Epoch [133][300/523] lr: 2.954e-02, eta: 11:24:48, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7712, top5_acc: 0.9603, loss_cls: 4.5584, loss: 4.5584 +2025-06-02 23:49:05,957 - pyskl - INFO - Epoch [133][400/523] lr: 2.949e-02, eta: 11:23:58, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7759, top5_acc: 0.9647, loss_cls: 4.6449, loss: 4.6449 +2025-06-02 23:49:49,478 - pyskl - INFO - Epoch [133][500/523] lr: 2.944e-02, eta: 11:23:07, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.7684, top5_acc: 0.9563, loss_cls: 4.5871, loss: 4.5871 +2025-06-02 23:50:00,074 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-06-02 23:50:28,690 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:50:28,762 - pyskl - INFO - +top1_acc 0.4097 +top5_acc 0.6396 +2025-06-02 23:50:28,762 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:50:28,771 - pyskl - INFO - +mean_acc 0.4100 +2025-06-02 23:50:28,774 - pyskl - INFO - Epoch(val) [133][198] top1_acc: 0.4097, top5_acc: 0.6396, mean_class_accuracy: 0.4100 +2025-06-02 23:51:38,891 - pyskl - INFO - Epoch [134][100/523] lr: 2.938e-02, eta: 11:22:25, time: 0.701, data_time: 0.249, memory: 7964, top1_acc: 0.8219, top5_acc: 0.9719, loss_cls: 4.4537, loss: 4.4537 +2025-06-02 23:52:23,677 - pyskl - INFO - Epoch [134][200/523] lr: 2.933e-02, eta: 11:21:35, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7900, top5_acc: 0.9634, loss_cls: 4.5464, loss: 4.5464 +2025-06-02 23:53:08,364 - pyskl - INFO - Epoch [134][300/523] lr: 2.928e-02, eta: 11:20:45, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.7972, top5_acc: 0.9637, loss_cls: 4.5037, loss: 4.5037 +2025-06-02 23:53:52,943 - pyskl - INFO - Epoch [134][400/523] lr: 2.923e-02, eta: 11:19:55, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7691, top5_acc: 0.9600, loss_cls: 4.6227, loss: 4.6227 +2025-06-02 23:54:37,315 - pyskl - INFO - Epoch [134][500/523] lr: 2.918e-02, eta: 11:19:05, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7631, top5_acc: 0.9531, loss_cls: 4.6748, loss: 4.6748 +2025-06-02 23:54:48,200 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-06-02 23:55:16,512 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:55:16,579 - pyskl - INFO - +top1_acc 0.3850 +top5_acc 0.6131 +2025-06-02 23:55:16,579 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-02 23:55:16,587 - pyskl - INFO - +mean_acc 0.3835 +2025-06-02 23:55:16,589 - pyskl - INFO - Epoch(val) [134][198] top1_acc: 0.3850, top5_acc: 0.6131, mean_class_accuracy: 0.3835 +2025-06-02 23:56:26,289 - pyskl - INFO - Epoch [135][100/523] lr: 2.912e-02, eta: 11:18:22, time: 0.697, data_time: 0.251, memory: 7964, top1_acc: 0.7941, top5_acc: 0.9706, loss_cls: 4.3745, loss: 4.3745 +2025-06-02 23:57:10,823 - pyskl - INFO - Epoch [135][200/523] lr: 2.907e-02, eta: 11:17:32, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7847, top5_acc: 0.9644, loss_cls: 4.5195, loss: 4.5195 +2025-06-02 23:57:54,995 - pyskl - INFO - Epoch [135][300/523] lr: 2.902e-02, eta: 11:16:42, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7847, top5_acc: 0.9603, loss_cls: 4.5731, loss: 4.5731 +2025-06-02 23:58:38,414 - pyskl - INFO - Epoch [135][400/523] lr: 2.897e-02, eta: 11:15:51, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7750, top5_acc: 0.9684, loss_cls: 4.6007, loss: 4.6007 +2025-06-02 23:59:22,111 - pyskl - INFO - Epoch [135][500/523] lr: 2.892e-02, eta: 11:15:00, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7853, top5_acc: 0.9591, loss_cls: 4.5532, loss: 4.5532 +2025-06-02 23:59:32,811 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-06-03 00:00:01,321 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:00:01,391 - pyskl - INFO - +top1_acc 0.4095 +top5_acc 0.6464 +2025-06-03 00:00:01,392 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:00:01,401 - pyskl - INFO - +mean_acc 0.4099 +2025-06-03 00:00:01,403 - pyskl - INFO - Epoch(val) [135][198] top1_acc: 0.4095, top5_acc: 0.6464, mean_class_accuracy: 0.4099 +2025-06-03 00:01:11,301 - pyskl - INFO - Epoch [136][100/523] lr: 2.886e-02, eta: 11:14:17, time: 0.699, data_time: 0.254, memory: 7964, top1_acc: 0.8072, top5_acc: 0.9675, loss_cls: 4.4225, loss: 4.4225 +2025-06-03 00:01:55,933 - pyskl - INFO - Epoch [136][200/523] lr: 2.881e-02, eta: 11:13:27, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7941, top5_acc: 0.9688, loss_cls: 4.4240, loss: 4.4240 +2025-06-03 00:02:40,397 - pyskl - INFO - Epoch [136][300/523] lr: 2.876e-02, eta: 11:12:37, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7984, top5_acc: 0.9672, loss_cls: 4.4159, loss: 4.4159 +2025-06-03 00:03:24,414 - pyskl - INFO - Epoch [136][400/523] lr: 2.871e-02, eta: 11:11:47, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.7681, top5_acc: 0.9613, loss_cls: 4.5639, loss: 4.5639 +2025-06-03 00:04:08,203 - pyskl - INFO - Epoch [136][500/523] lr: 2.866e-02, eta: 11:10:56, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.7681, top5_acc: 0.9553, loss_cls: 4.6635, loss: 4.6635 +2025-06-03 00:04:18,643 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-06-03 00:04:47,318 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:04:47,388 - pyskl - INFO - +top1_acc 0.3883 +top5_acc 0.6109 +2025-06-03 00:04:47,388 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:04:47,396 - pyskl - INFO - +mean_acc 0.3895 +2025-06-03 00:04:47,398 - pyskl - INFO - Epoch(val) [136][198] top1_acc: 0.3883, top5_acc: 0.6109, mean_class_accuracy: 0.3895 +2025-06-03 00:05:58,295 - pyskl - INFO - Epoch [137][100/523] lr: 2.860e-02, eta: 11:10:14, time: 0.709, data_time: 0.254, memory: 7964, top1_acc: 0.7884, top5_acc: 0.9650, loss_cls: 4.6003, loss: 4.6003 +2025-06-03 00:06:41,342 - pyskl - INFO - Epoch [137][200/523] lr: 2.855e-02, eta: 11:09:23, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.8022, top5_acc: 0.9688, loss_cls: 4.4975, loss: 4.4975 +2025-06-03 00:07:25,443 - pyskl - INFO - Epoch [137][300/523] lr: 2.850e-02, eta: 11:08:33, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7928, top5_acc: 0.9637, loss_cls: 4.5056, loss: 4.5056 +2025-06-03 00:08:09,153 - pyskl - INFO - Epoch [137][400/523] lr: 2.845e-02, eta: 11:07:42, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7681, top5_acc: 0.9641, loss_cls: 4.4400, loss: 4.4400 +2025-06-03 00:08:53,037 - pyskl - INFO - Epoch [137][500/523] lr: 2.840e-02, eta: 11:06:51, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7756, top5_acc: 0.9584, loss_cls: 4.6049, loss: 4.6049 +2025-06-03 00:09:03,723 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-06-03 00:09:32,200 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:09:32,271 - pyskl - INFO - +top1_acc 0.4254 +top5_acc 0.6448 +2025-06-03 00:09:32,271 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:09:32,279 - pyskl - INFO - +mean_acc 0.4266 +2025-06-03 00:09:32,281 - pyskl - INFO - Epoch(val) [137][198] top1_acc: 0.4254, top5_acc: 0.6448, mean_class_accuracy: 0.4266 +2025-06-03 00:10:43,045 - pyskl - INFO - Epoch [138][100/523] lr: 2.834e-02, eta: 11:06:09, time: 0.708, data_time: 0.266, memory: 7964, top1_acc: 0.8166, top5_acc: 0.9759, loss_cls: 4.3672, loss: 4.3672 +2025-06-03 00:11:27,250 - pyskl - INFO - Epoch [138][200/523] lr: 2.829e-02, eta: 11:05:19, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7987, top5_acc: 0.9691, loss_cls: 4.4339, loss: 4.4339 +2025-06-03 00:12:11,545 - pyskl - INFO - Epoch [138][300/523] lr: 2.824e-02, eta: 11:04:29, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7875, top5_acc: 0.9700, loss_cls: 4.5805, loss: 4.5805 +2025-06-03 00:12:55,440 - pyskl - INFO - Epoch [138][400/523] lr: 2.819e-02, eta: 11:03:38, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7819, top5_acc: 0.9619, loss_cls: 4.5582, loss: 4.5582 +2025-06-03 00:13:39,632 - pyskl - INFO - Epoch [138][500/523] lr: 2.815e-02, eta: 11:02:48, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7706, top5_acc: 0.9597, loss_cls: 4.6579, loss: 4.6579 +2025-06-03 00:13:50,478 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-06-03 00:14:18,931 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:14:19,003 - pyskl - INFO - +top1_acc 0.4118 +top5_acc 0.6375 +2025-06-03 00:14:19,003 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:14:19,012 - pyskl - INFO - +mean_acc 0.4111 +2025-06-03 00:14:19,015 - pyskl - INFO - Epoch(val) [138][198] top1_acc: 0.4118, top5_acc: 0.6375, mean_class_accuracy: 0.4111 +2025-06-03 00:15:28,779 - pyskl - INFO - Epoch [139][100/523] lr: 2.808e-02, eta: 11:02:04, time: 0.698, data_time: 0.257, memory: 7964, top1_acc: 0.8094, top5_acc: 0.9712, loss_cls: 4.3870, loss: 4.3870 +2025-06-03 00:16:12,085 - pyskl - INFO - Epoch [139][200/523] lr: 2.803e-02, eta: 11:01:13, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.7984, top5_acc: 0.9647, loss_cls: 4.3839, loss: 4.3839 +2025-06-03 00:16:55,058 - pyskl - INFO - Epoch [139][300/523] lr: 2.798e-02, eta: 11:00:22, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7797, top5_acc: 0.9691, loss_cls: 4.5010, loss: 4.5010 +2025-06-03 00:17:39,495 - pyskl - INFO - Epoch [139][400/523] lr: 2.794e-02, eta: 10:59:32, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7878, top5_acc: 0.9631, loss_cls: 4.5052, loss: 4.5052 +2025-06-03 00:18:24,313 - pyskl - INFO - Epoch [139][500/523] lr: 2.789e-02, eta: 10:58:43, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7638, top5_acc: 0.9641, loss_cls: 4.5778, loss: 4.5778 +2025-06-03 00:18:35,206 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-06-03 00:19:03,860 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:19:03,931 - pyskl - INFO - +top1_acc 0.4167 +top5_acc 0.6364 +2025-06-03 00:19:03,932 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:19:03,939 - pyskl - INFO - +mean_acc 0.4174 +2025-06-03 00:19:03,941 - pyskl - INFO - Epoch(val) [139][198] top1_acc: 0.4167, top5_acc: 0.6364, mean_class_accuracy: 0.4174 +2025-06-03 00:20:13,117 - pyskl - INFO - Epoch [140][100/523] lr: 2.782e-02, eta: 10:57:58, time: 0.692, data_time: 0.251, memory: 7964, top1_acc: 0.8200, top5_acc: 0.9722, loss_cls: 4.3423, loss: 4.3423 +2025-06-03 00:20:56,143 - pyskl - INFO - Epoch [140][200/523] lr: 2.777e-02, eta: 10:57:07, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.7994, top5_acc: 0.9706, loss_cls: 4.2878, loss: 4.2878 +2025-06-03 00:21:40,281 - pyskl - INFO - Epoch [140][300/523] lr: 2.772e-02, eta: 10:56:16, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7891, top5_acc: 0.9700, loss_cls: 4.5473, loss: 4.5473 +2025-06-03 00:22:24,229 - pyskl - INFO - Epoch [140][400/523] lr: 2.767e-02, eta: 10:55:26, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7841, top5_acc: 0.9597, loss_cls: 4.5431, loss: 4.5431 +2025-06-03 00:23:08,341 - pyskl - INFO - Epoch [140][500/523] lr: 2.763e-02, eta: 10:54:36, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7716, top5_acc: 0.9641, loss_cls: 4.5625, loss: 4.5625 +2025-06-03 00:23:18,862 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-06-03 00:23:47,620 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:23:47,691 - pyskl - INFO - +top1_acc 0.4206 +top5_acc 0.6475 +2025-06-03 00:23:47,691 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:23:47,698 - pyskl - INFO - +mean_acc 0.4202 +2025-06-03 00:23:47,700 - pyskl - INFO - Epoch(val) [140][198] top1_acc: 0.4206, top5_acc: 0.6475, mean_class_accuracy: 0.4202 +2025-06-03 00:24:57,960 - pyskl - INFO - Epoch [141][100/523] lr: 2.756e-02, eta: 10:53:52, time: 0.703, data_time: 0.253, memory: 7964, top1_acc: 0.8184, top5_acc: 0.9731, loss_cls: 4.2808, loss: 4.2808 +2025-06-03 00:25:43,071 - pyskl - INFO - Epoch [141][200/523] lr: 2.751e-02, eta: 10:53:03, time: 0.451, data_time: 0.000, memory: 7964, top1_acc: 0.8116, top5_acc: 0.9716, loss_cls: 4.3084, loss: 4.3084 +2025-06-03 00:26:27,590 - pyskl - INFO - Epoch [141][300/523] lr: 2.746e-02, eta: 10:52:14, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7928, top5_acc: 0.9637, loss_cls: 4.4572, loss: 4.4572 +2025-06-03 00:27:11,662 - pyskl - INFO - Epoch [141][400/523] lr: 2.741e-02, eta: 10:51:24, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7744, top5_acc: 0.9566, loss_cls: 4.6279, loss: 4.6279 +2025-06-03 00:27:55,718 - pyskl - INFO - Epoch [141][500/523] lr: 2.736e-02, eta: 10:50:33, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.7916, top5_acc: 0.9644, loss_cls: 4.4052, loss: 4.4052 +2025-06-03 00:28:06,594 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-06-03 00:28:35,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:28:35,208 - pyskl - INFO - +top1_acc 0.3999 +top5_acc 0.6345 +2025-06-03 00:28:35,209 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:28:35,216 - pyskl - INFO - +mean_acc 0.4000 +2025-06-03 00:28:35,218 - pyskl - INFO - Epoch(val) [141][198] top1_acc: 0.3999, top5_acc: 0.6345, mean_class_accuracy: 0.4000 +2025-06-03 00:29:44,918 - pyskl - INFO - Epoch [142][100/523] lr: 2.730e-02, eta: 10:49:49, time: 0.697, data_time: 0.253, memory: 7964, top1_acc: 0.8163, top5_acc: 0.9781, loss_cls: 4.2717, loss: 4.2717 +2025-06-03 00:30:29,455 - pyskl - INFO - Epoch [142][200/523] lr: 2.725e-02, eta: 10:49:00, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8175, top5_acc: 0.9766, loss_cls: 4.3442, loss: 4.3442 +2025-06-03 00:31:14,257 - pyskl - INFO - Epoch [142][300/523] lr: 2.720e-02, eta: 10:48:10, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.8044, top5_acc: 0.9694, loss_cls: 4.5121, loss: 4.5121 +2025-06-03 00:31:58,772 - pyskl - INFO - Epoch [142][400/523] lr: 2.715e-02, eta: 10:47:21, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7841, top5_acc: 0.9669, loss_cls: 4.4269, loss: 4.4269 +2025-06-03 00:32:42,634 - pyskl - INFO - Epoch [142][500/523] lr: 2.710e-02, eta: 10:46:30, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7778, top5_acc: 0.9672, loss_cls: 4.5722, loss: 4.5722 +2025-06-03 00:32:53,110 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-06-03 00:33:22,252 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:33:22,319 - pyskl - INFO - +top1_acc 0.4100 +top5_acc 0.6323 +2025-06-03 00:33:22,320 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:33:22,327 - pyskl - INFO - +mean_acc 0.4092 +2025-06-03 00:33:22,328 - pyskl - INFO - Epoch(val) [142][198] top1_acc: 0.4100, top5_acc: 0.6323, mean_class_accuracy: 0.4092 +2025-06-03 00:34:30,789 - pyskl - INFO - Epoch [143][100/523] lr: 2.704e-02, eta: 10:45:44, time: 0.685, data_time: 0.256, memory: 7964, top1_acc: 0.8291, top5_acc: 0.9741, loss_cls: 4.3624, loss: 4.3624 +2025-06-03 00:35:14,579 - pyskl - INFO - Epoch [143][200/523] lr: 2.699e-02, eta: 10:44:54, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8044, top5_acc: 0.9719, loss_cls: 4.4119, loss: 4.4119 +2025-06-03 00:35:59,210 - pyskl - INFO - Epoch [143][300/523] lr: 2.694e-02, eta: 10:44:04, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8044, top5_acc: 0.9666, loss_cls: 4.4554, loss: 4.4554 +2025-06-03 00:36:43,455 - pyskl - INFO - Epoch [143][400/523] lr: 2.689e-02, eta: 10:43:15, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.7944, top5_acc: 0.9709, loss_cls: 4.5588, loss: 4.5588 +2025-06-03 00:37:27,118 - pyskl - INFO - Epoch [143][500/523] lr: 2.684e-02, eta: 10:42:24, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7900, top5_acc: 0.9594, loss_cls: 4.4769, loss: 4.4769 +2025-06-03 00:37:37,632 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-06-03 00:38:06,169 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:38:06,238 - pyskl - INFO - +top1_acc 0.3870 +top5_acc 0.5832 +2025-06-03 00:38:06,238 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:38:06,245 - pyskl - INFO - +mean_acc 0.3865 +2025-06-03 00:38:06,247 - pyskl - INFO - Epoch(val) [143][198] top1_acc: 0.3870, top5_acc: 0.5832, mean_class_accuracy: 0.3865 +2025-06-03 00:39:15,251 - pyskl - INFO - Epoch [144][100/523] lr: 2.678e-02, eta: 10:41:39, time: 0.690, data_time: 0.256, memory: 7964, top1_acc: 0.8216, top5_acc: 0.9741, loss_cls: 4.2847, loss: 4.2847 +2025-06-03 00:39:59,579 - pyskl - INFO - Epoch [144][200/523] lr: 2.673e-02, eta: 10:40:49, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8022, top5_acc: 0.9719, loss_cls: 4.3502, loss: 4.3502 +2025-06-03 00:40:44,321 - pyskl - INFO - Epoch [144][300/523] lr: 2.668e-02, eta: 10:40:00, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.8072, top5_acc: 0.9672, loss_cls: 4.3834, loss: 4.3834 +2025-06-03 00:41:29,109 - pyskl - INFO - Epoch [144][400/523] lr: 2.663e-02, eta: 10:39:10, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.7922, top5_acc: 0.9659, loss_cls: 4.3991, loss: 4.3991 +2025-06-03 00:42:11,998 - pyskl - INFO - Epoch [144][500/523] lr: 2.658e-02, eta: 10:38:19, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.7887, top5_acc: 0.9637, loss_cls: 4.4119, loss: 4.4119 +2025-06-03 00:42:22,521 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-06-03 00:42:50,845 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:42:50,913 - pyskl - INFO - +top1_acc 0.4114 +top5_acc 0.6450 +2025-06-03 00:42:50,913 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:42:50,922 - pyskl - INFO - +mean_acc 0.4105 +2025-06-03 00:42:50,925 - pyskl - INFO - Epoch(val) [144][198] top1_acc: 0.4114, top5_acc: 0.6450, mean_class_accuracy: 0.4105 +2025-06-03 00:43:59,328 - pyskl - INFO - Epoch [145][100/523] lr: 2.652e-02, eta: 10:37:33, time: 0.684, data_time: 0.256, memory: 7964, top1_acc: 0.8119, top5_acc: 0.9750, loss_cls: 4.2887, loss: 4.2887 +2025-06-03 00:44:44,312 - pyskl - INFO - Epoch [145][200/523] lr: 2.647e-02, eta: 10:36:44, time: 0.450, data_time: 0.000, memory: 7964, top1_acc: 0.8187, top5_acc: 0.9722, loss_cls: 4.3686, loss: 4.3686 +2025-06-03 00:45:29,329 - pyskl - INFO - Epoch [145][300/523] lr: 2.642e-02, eta: 10:35:55, time: 0.450, data_time: 0.000, memory: 7964, top1_acc: 0.7991, top5_acc: 0.9688, loss_cls: 4.3894, loss: 4.3894 +2025-06-03 00:46:13,915 - pyskl - INFO - Epoch [145][400/523] lr: 2.637e-02, eta: 10:35:05, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.7841, top5_acc: 0.9653, loss_cls: 4.4773, loss: 4.4773 +2025-06-03 00:46:57,501 - pyskl - INFO - Epoch [145][500/523] lr: 2.632e-02, eta: 10:34:15, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.7975, top5_acc: 0.9703, loss_cls: 4.4363, loss: 4.4363 +2025-06-03 00:47:08,027 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-06-03 00:47:36,665 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:47:36,735 - pyskl - INFO - +top1_acc 0.3937 +top5_acc 0.6239 +2025-06-03 00:47:36,735 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:47:36,744 - pyskl - INFO - +mean_acc 0.3933 +2025-06-03 00:47:36,746 - pyskl - INFO - Epoch(val) [145][198] top1_acc: 0.3937, top5_acc: 0.6239, mean_class_accuracy: 0.3933 +2025-06-03 00:48:47,071 - pyskl - INFO - Epoch [146][100/523] lr: 2.626e-02, eta: 10:33:30, time: 0.703, data_time: 0.260, memory: 7964, top1_acc: 0.8181, top5_acc: 0.9781, loss_cls: 4.3144, loss: 4.3144 +2025-06-03 00:49:31,684 - pyskl - INFO - Epoch [146][200/523] lr: 2.621e-02, eta: 10:32:41, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8075, top5_acc: 0.9644, loss_cls: 4.3001, loss: 4.3001 +2025-06-03 00:50:16,140 - pyskl - INFO - Epoch [146][300/523] lr: 2.616e-02, eta: 10:31:51, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8153, top5_acc: 0.9731, loss_cls: 4.3126, loss: 4.3126 +2025-06-03 00:51:00,439 - pyskl - INFO - Epoch [146][400/523] lr: 2.611e-02, eta: 10:31:02, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8009, top5_acc: 0.9703, loss_cls: 4.3927, loss: 4.3927 +2025-06-03 00:51:44,124 - pyskl - INFO - Epoch [146][500/523] lr: 2.606e-02, eta: 10:30:11, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7884, top5_acc: 0.9747, loss_cls: 4.4368, loss: 4.4368 +2025-06-03 00:51:54,638 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-06-03 00:52:22,963 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:52:23,030 - pyskl - INFO - +top1_acc 0.4140 +top5_acc 0.6375 +2025-06-03 00:52:23,030 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:52:23,037 - pyskl - INFO - +mean_acc 0.4139 +2025-06-03 00:52:23,038 - pyskl - INFO - Epoch(val) [146][198] top1_acc: 0.4140, top5_acc: 0.6375, mean_class_accuracy: 0.4139 +2025-06-03 00:53:32,641 - pyskl - INFO - Epoch [147][100/523] lr: 2.600e-02, eta: 10:29:26, time: 0.696, data_time: 0.261, memory: 7964, top1_acc: 0.8206, top5_acc: 0.9781, loss_cls: 4.3064, loss: 4.3064 +2025-06-03 00:54:17,271 - pyskl - INFO - Epoch [147][200/523] lr: 2.595e-02, eta: 10:28:37, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8153, top5_acc: 0.9725, loss_cls: 4.3918, loss: 4.3918 +2025-06-03 00:55:01,700 - pyskl - INFO - Epoch [147][300/523] lr: 2.590e-02, eta: 10:27:47, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7887, top5_acc: 0.9675, loss_cls: 4.4749, loss: 4.4749 +2025-06-03 00:55:46,071 - pyskl - INFO - Epoch [147][400/523] lr: 2.585e-02, eta: 10:26:57, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7806, top5_acc: 0.9709, loss_cls: 4.5347, loss: 4.5347 +2025-06-03 00:56:29,775 - pyskl - INFO - Epoch [147][500/523] lr: 2.580e-02, eta: 10:26:07, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7953, top5_acc: 0.9709, loss_cls: 4.4651, loss: 4.4651 +2025-06-03 00:56:40,352 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-06-03 00:57:08,338 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:57:08,406 - pyskl - INFO - +top1_acc 0.4091 +top5_acc 0.6079 +2025-06-03 00:57:08,406 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 00:57:08,412 - pyskl - INFO - +mean_acc 0.4098 +2025-06-03 00:57:08,414 - pyskl - INFO - Epoch(val) [147][198] top1_acc: 0.4091, top5_acc: 0.6079, mean_class_accuracy: 0.4098 +2025-06-03 00:58:17,186 - pyskl - INFO - Epoch [148][100/523] lr: 2.574e-02, eta: 10:25:21, time: 0.688, data_time: 0.257, memory: 7964, top1_acc: 0.8409, top5_acc: 0.9788, loss_cls: 4.1146, loss: 4.1146 +2025-06-03 00:59:01,158 - pyskl - INFO - Epoch [148][200/523] lr: 2.569e-02, eta: 10:24:31, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8166, top5_acc: 0.9731, loss_cls: 4.3206, loss: 4.3206 +2025-06-03 00:59:45,589 - pyskl - INFO - Epoch [148][300/523] lr: 2.564e-02, eta: 10:23:41, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8037, top5_acc: 0.9719, loss_cls: 4.3565, loss: 4.3565 +2025-06-03 01:00:29,941 - pyskl - INFO - Epoch [148][400/523] lr: 2.559e-02, eta: 10:22:52, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.7844, top5_acc: 0.9625, loss_cls: 4.4802, loss: 4.4802 +2025-06-03 01:01:13,630 - pyskl - INFO - Epoch [148][500/523] lr: 2.554e-02, eta: 10:22:01, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7856, top5_acc: 0.9703, loss_cls: 4.3986, loss: 4.3986 +2025-06-03 01:01:24,490 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-06-03 01:01:52,742 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:01:52,811 - pyskl - INFO - +top1_acc 0.4183 +top5_acc 0.6360 +2025-06-03 01:01:52,811 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:01:52,818 - pyskl - INFO - +mean_acc 0.4176 +2025-06-03 01:01:52,819 - pyskl - INFO - Epoch(val) [148][198] top1_acc: 0.4183, top5_acc: 0.6360, mean_class_accuracy: 0.4176 +2025-06-03 01:03:02,796 - pyskl - INFO - Epoch [149][100/523] lr: 2.547e-02, eta: 10:21:16, time: 0.700, data_time: 0.255, memory: 7964, top1_acc: 0.8319, top5_acc: 0.9781, loss_cls: 4.1942, loss: 4.1942 +2025-06-03 01:03:47,254 - pyskl - INFO - Epoch [149][200/523] lr: 2.542e-02, eta: 10:20:27, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8213, top5_acc: 0.9681, loss_cls: 4.4036, loss: 4.4036 +2025-06-03 01:04:31,765 - pyskl - INFO - Epoch [149][300/523] lr: 2.537e-02, eta: 10:19:37, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8103, top5_acc: 0.9741, loss_cls: 4.3148, loss: 4.3148 +2025-06-03 01:05:16,060 - pyskl - INFO - Epoch [149][400/523] lr: 2.532e-02, eta: 10:18:48, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.7963, top5_acc: 0.9728, loss_cls: 4.3567, loss: 4.3567 +2025-06-03 01:05:59,968 - pyskl - INFO - Epoch [149][500/523] lr: 2.527e-02, eta: 10:17:58, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7997, top5_acc: 0.9694, loss_cls: 4.4985, loss: 4.4985 +2025-06-03 01:06:10,850 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-06-03 01:06:39,162 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:06:39,233 - pyskl - INFO - +top1_acc 0.4206 +top5_acc 0.6486 +2025-06-03 01:06:39,233 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:06:39,242 - pyskl - INFO - +mean_acc 0.4210 +2025-06-03 01:06:39,244 - pyskl - INFO - Epoch(val) [149][198] top1_acc: 0.4206, top5_acc: 0.6486, mean_class_accuracy: 0.4210 +2025-06-03 01:07:47,947 - pyskl - INFO - Epoch [150][100/523] lr: 2.521e-02, eta: 10:17:11, time: 0.687, data_time: 0.258, memory: 7964, top1_acc: 0.8356, top5_acc: 0.9778, loss_cls: 4.1653, loss: 4.1653 +2025-06-03 01:08:32,421 - pyskl - INFO - Epoch [150][200/523] lr: 2.516e-02, eta: 10:16:22, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8119, top5_acc: 0.9738, loss_cls: 4.3482, loss: 4.3482 +2025-06-03 01:09:16,802 - pyskl - INFO - Epoch [150][300/523] lr: 2.511e-02, eta: 10:15:32, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8231, top5_acc: 0.9759, loss_cls: 4.2424, loss: 4.2424 +2025-06-03 01:10:00,571 - pyskl - INFO - Epoch [150][400/523] lr: 2.506e-02, eta: 10:14:42, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8119, top5_acc: 0.9725, loss_cls: 4.3523, loss: 4.3523 +2025-06-03 01:10:44,321 - pyskl - INFO - Epoch [150][500/523] lr: 2.501e-02, eta: 10:13:52, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.7900, top5_acc: 0.9656, loss_cls: 4.4448, loss: 4.4448 +2025-06-03 01:10:55,160 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-06-03 01:11:23,420 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:11:23,506 - pyskl - INFO - +top1_acc 0.4306 +top5_acc 0.6521 +2025-06-03 01:11:23,506 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:11:23,514 - pyskl - INFO - +mean_acc 0.4314 +2025-06-03 01:11:23,572 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_130.pth was removed +2025-06-03 01:11:25,162 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_150.pth. +2025-06-03 01:11:25,164 - pyskl - INFO - Best top1_acc is 0.4306 at 150 epoch. +2025-06-03 01:11:25,166 - pyskl - INFO - Epoch(val) [150][198] top1_acc: 0.4306, top5_acc: 0.6521, mean_class_accuracy: 0.4314 +2025-06-03 01:12:34,728 - pyskl - INFO - Epoch [151][100/523] lr: 2.495e-02, eta: 10:13:06, time: 0.696, data_time: 0.252, memory: 7964, top1_acc: 0.8294, top5_acc: 0.9766, loss_cls: 4.1983, loss: 4.1983 +2025-06-03 01:13:18,760 - pyskl - INFO - Epoch [151][200/523] lr: 2.490e-02, eta: 10:12:16, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8341, top5_acc: 0.9750, loss_cls: 4.2043, loss: 4.2043 +2025-06-03 01:14:02,816 - pyskl - INFO - Epoch [151][300/523] lr: 2.485e-02, eta: 10:11:26, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8106, top5_acc: 0.9728, loss_cls: 4.3160, loss: 4.3160 +2025-06-03 01:14:46,205 - pyskl - INFO - Epoch [151][400/523] lr: 2.480e-02, eta: 10:10:36, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8019, top5_acc: 0.9688, loss_cls: 4.4466, loss: 4.4466 +2025-06-03 01:15:29,600 - pyskl - INFO - Epoch [151][500/523] lr: 2.475e-02, eta: 10:09:45, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.7937, top5_acc: 0.9663, loss_cls: 4.3873, loss: 4.3873 +2025-06-03 01:15:40,637 - pyskl - INFO - Saving checkpoint at 151 epochs +2025-06-03 01:16:09,719 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:16:09,808 - pyskl - INFO - +top1_acc 0.4086 +top5_acc 0.6406 +2025-06-03 01:16:09,808 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:16:09,821 - pyskl - INFO - +mean_acc 0.4097 +2025-06-03 01:16:09,824 - pyskl - INFO - Epoch(val) [151][198] top1_acc: 0.4086, top5_acc: 0.6406, mean_class_accuracy: 0.4097 +2025-06-03 01:17:21,018 - pyskl - INFO - Epoch [152][100/523] lr: 2.469e-02, eta: 10:09:01, time: 0.712, data_time: 0.264, memory: 7964, top1_acc: 0.8369, top5_acc: 0.9806, loss_cls: 4.1488, loss: 4.1488 +2025-06-03 01:18:06,311 - pyskl - INFO - Epoch [152][200/523] lr: 2.464e-02, eta: 10:08:12, time: 0.453, data_time: 0.000, memory: 7964, top1_acc: 0.8419, top5_acc: 0.9778, loss_cls: 4.2050, loss: 4.2050 +2025-06-03 01:18:51,255 - pyskl - INFO - Epoch [152][300/523] lr: 2.459e-02, eta: 10:07:23, time: 0.449, data_time: 0.000, memory: 7964, top1_acc: 0.8206, top5_acc: 0.9728, loss_cls: 4.3736, loss: 4.3736 +2025-06-03 01:19:35,900 - pyskl - INFO - Epoch [152][400/523] lr: 2.454e-02, eta: 10:06:34, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8016, top5_acc: 0.9738, loss_cls: 4.3739, loss: 4.3739 +2025-06-03 01:20:19,782 - pyskl - INFO - Epoch [152][500/523] lr: 2.449e-02, eta: 10:05:44, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.7969, top5_acc: 0.9653, loss_cls: 4.4184, loss: 4.4184 +2025-06-03 01:20:30,676 - pyskl - INFO - Saving checkpoint at 152 epochs +2025-06-03 01:20:59,509 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:20:59,586 - pyskl - INFO - +top1_acc 0.4113 +top5_acc 0.6436 +2025-06-03 01:20:59,587 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:20:59,595 - pyskl - INFO - +mean_acc 0.4124 +2025-06-03 01:20:59,597 - pyskl - INFO - Epoch(val) [152][198] top1_acc: 0.4113, top5_acc: 0.6436, mean_class_accuracy: 0.4124 +2025-06-03 01:22:10,282 - pyskl - INFO - Epoch [153][100/523] lr: 2.443e-02, eta: 10:04:59, time: 0.707, data_time: 0.265, memory: 7964, top1_acc: 0.8350, top5_acc: 0.9794, loss_cls: 4.0920, loss: 4.0920 +2025-06-03 01:22:54,753 - pyskl - INFO - Epoch [153][200/523] lr: 2.438e-02, eta: 10:04:10, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8319, top5_acc: 0.9797, loss_cls: 4.2361, loss: 4.2361 +2025-06-03 01:23:39,380 - pyskl - INFO - Epoch [153][300/523] lr: 2.433e-02, eta: 10:03:20, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8131, top5_acc: 0.9722, loss_cls: 4.3177, loss: 4.3177 +2025-06-03 01:24:22,960 - pyskl - INFO - Epoch [153][400/523] lr: 2.428e-02, eta: 10:02:30, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8194, top5_acc: 0.9747, loss_cls: 4.2532, loss: 4.2532 +2025-06-03 01:25:07,082 - pyskl - INFO - Epoch [153][500/523] lr: 2.423e-02, eta: 10:01:41, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8003, top5_acc: 0.9725, loss_cls: 4.4113, loss: 4.4113 +2025-06-03 01:25:17,997 - pyskl - INFO - Saving checkpoint at 153 epochs +2025-06-03 01:25:46,478 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:25:46,546 - pyskl - INFO - +top1_acc 0.4038 +top5_acc 0.6412 +2025-06-03 01:25:46,546 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:25:46,553 - pyskl - INFO - +mean_acc 0.4015 +2025-06-03 01:25:46,555 - pyskl - INFO - Epoch(val) [153][198] top1_acc: 0.4038, top5_acc: 0.6412, mean_class_accuracy: 0.4015 +2025-06-03 01:26:57,613 - pyskl - INFO - Epoch [154][100/523] lr: 2.417e-02, eta: 10:00:56, time: 0.711, data_time: 0.266, memory: 7964, top1_acc: 0.8628, top5_acc: 0.9859, loss_cls: 4.0846, loss: 4.0846 +2025-06-03 01:27:41,711 - pyskl - INFO - Epoch [154][200/523] lr: 2.412e-02, eta: 10:00:06, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8234, top5_acc: 0.9750, loss_cls: 4.2926, loss: 4.2926 +2025-06-03 01:28:25,776 - pyskl - INFO - Epoch [154][300/523] lr: 2.407e-02, eta: 9:59:16, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8172, top5_acc: 0.9734, loss_cls: 4.3573, loss: 4.3573 +2025-06-03 01:29:09,963 - pyskl - INFO - Epoch [154][400/523] lr: 2.402e-02, eta: 9:58:27, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8078, top5_acc: 0.9762, loss_cls: 4.3006, loss: 4.3006 +2025-06-03 01:29:54,449 - pyskl - INFO - Epoch [154][500/523] lr: 2.397e-02, eta: 9:57:37, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.7944, top5_acc: 0.9716, loss_cls: 4.4218, loss: 4.4218 +2025-06-03 01:30:05,376 - pyskl - INFO - Saving checkpoint at 154 epochs +2025-06-03 01:30:34,560 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:30:34,638 - pyskl - INFO - +top1_acc 0.4309 +top5_acc 0.6590 +2025-06-03 01:30:34,639 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:30:34,649 - pyskl - INFO - +mean_acc 0.4292 +2025-06-03 01:30:34,711 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_150.pth was removed +2025-06-03 01:30:36,416 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_154.pth. +2025-06-03 01:30:36,417 - pyskl - INFO - Best top1_acc is 0.4309 at 154 epoch. +2025-06-03 01:30:36,420 - pyskl - INFO - Epoch(val) [154][198] top1_acc: 0.4309, top5_acc: 0.6590, mean_class_accuracy: 0.4292 +2025-06-03 01:31:46,873 - pyskl - INFO - Epoch [155][100/523] lr: 2.390e-02, eta: 9:56:52, time: 0.704, data_time: 0.264, memory: 7964, top1_acc: 0.8444, top5_acc: 0.9853, loss_cls: 4.1529, loss: 4.1529 +2025-06-03 01:32:31,458 - pyskl - INFO - Epoch [155][200/523] lr: 2.385e-02, eta: 9:56:02, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8372, top5_acc: 0.9747, loss_cls: 4.2377, loss: 4.2377 +2025-06-03 01:33:15,848 - pyskl - INFO - Epoch [155][300/523] lr: 2.380e-02, eta: 9:55:13, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8216, top5_acc: 0.9803, loss_cls: 4.1681, loss: 4.1681 +2025-06-03 01:33:59,129 - pyskl - INFO - Epoch [155][400/523] lr: 2.375e-02, eta: 9:54:23, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.8172, top5_acc: 0.9728, loss_cls: 4.2752, loss: 4.2752 +2025-06-03 01:34:43,617 - pyskl - INFO - Epoch [155][500/523] lr: 2.370e-02, eta: 9:53:33, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8103, top5_acc: 0.9734, loss_cls: 4.2984, loss: 4.2984 +2025-06-03 01:34:54,618 - pyskl - INFO - Saving checkpoint at 155 epochs +2025-06-03 01:35:23,051 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:35:23,124 - pyskl - INFO - +top1_acc 0.4199 +top5_acc 0.6436 +2025-06-03 01:35:23,124 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:35:23,134 - pyskl - INFO - +mean_acc 0.4197 +2025-06-03 01:35:23,136 - pyskl - INFO - Epoch(val) [155][198] top1_acc: 0.4199, top5_acc: 0.6436, mean_class_accuracy: 0.4197 +2025-06-03 01:36:33,594 - pyskl - INFO - Epoch [156][100/523] lr: 2.364e-02, eta: 9:52:47, time: 0.705, data_time: 0.259, memory: 7964, top1_acc: 0.8459, top5_acc: 0.9803, loss_cls: 4.0598, loss: 4.0598 +2025-06-03 01:37:18,168 - pyskl - INFO - Epoch [156][200/523] lr: 2.359e-02, eta: 9:51:58, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8219, top5_acc: 0.9759, loss_cls: 4.2966, loss: 4.2966 +2025-06-03 01:38:02,680 - pyskl - INFO - Epoch [156][300/523] lr: 2.354e-02, eta: 9:51:09, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8284, top5_acc: 0.9788, loss_cls: 4.2652, loss: 4.2652 +2025-06-03 01:38:46,966 - pyskl - INFO - Epoch [156][400/523] lr: 2.349e-02, eta: 9:50:20, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8147, top5_acc: 0.9728, loss_cls: 4.2587, loss: 4.2587 +2025-06-03 01:39:31,316 - pyskl - INFO - Epoch [156][500/523] lr: 2.344e-02, eta: 9:49:30, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8063, top5_acc: 0.9719, loss_cls: 4.2805, loss: 4.2805 +2025-06-03 01:39:41,796 - pyskl - INFO - Saving checkpoint at 156 epochs +2025-06-03 01:40:10,625 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:40:10,696 - pyskl - INFO - +top1_acc 0.4094 +top5_acc 0.6100 +2025-06-03 01:40:10,696 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:40:10,704 - pyskl - INFO - +mean_acc 0.4080 +2025-06-03 01:40:10,705 - pyskl - INFO - Epoch(val) [156][198] top1_acc: 0.4094, top5_acc: 0.6100, mean_class_accuracy: 0.4080 +2025-06-03 01:41:21,559 - pyskl - INFO - Epoch [157][100/523] lr: 2.338e-02, eta: 9:48:44, time: 0.708, data_time: 0.263, memory: 7964, top1_acc: 0.8519, top5_acc: 0.9853, loss_cls: 4.0902, loss: 4.0902 +2025-06-03 01:42:06,105 - pyskl - INFO - Epoch [157][200/523] lr: 2.333e-02, eta: 9:47:55, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8478, top5_acc: 0.9788, loss_cls: 4.1431, loss: 4.1431 +2025-06-03 01:42:50,123 - pyskl - INFO - Epoch [157][300/523] lr: 2.328e-02, eta: 9:47:06, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8319, top5_acc: 0.9778, loss_cls: 4.2838, loss: 4.2838 +2025-06-03 01:43:34,527 - pyskl - INFO - Epoch [157][400/523] lr: 2.323e-02, eta: 9:46:16, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8175, top5_acc: 0.9731, loss_cls: 4.2525, loss: 4.2525 +2025-06-03 01:44:18,986 - pyskl - INFO - Epoch [157][500/523] lr: 2.318e-02, eta: 9:45:27, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8047, top5_acc: 0.9741, loss_cls: 4.3415, loss: 4.3415 +2025-06-03 01:44:29,997 - pyskl - INFO - Saving checkpoint at 157 epochs +2025-06-03 01:44:58,543 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:44:58,618 - pyskl - INFO - +top1_acc 0.4134 +top5_acc 0.6306 +2025-06-03 01:44:58,618 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:44:58,625 - pyskl - INFO - +mean_acc 0.4142 +2025-06-03 01:44:58,627 - pyskl - INFO - Epoch(val) [157][198] top1_acc: 0.4134, top5_acc: 0.6306, mean_class_accuracy: 0.4142 +2025-06-03 01:46:09,455 - pyskl - INFO - Epoch [158][100/523] lr: 2.312e-02, eta: 9:44:41, time: 0.708, data_time: 0.261, memory: 7964, top1_acc: 0.8453, top5_acc: 0.9791, loss_cls: 4.0707, loss: 4.0707 +2025-06-03 01:46:53,216 - pyskl - INFO - Epoch [158][200/523] lr: 2.307e-02, eta: 9:43:51, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8337, top5_acc: 0.9822, loss_cls: 4.1414, loss: 4.1414 +2025-06-03 01:47:36,457 - pyskl - INFO - Epoch [158][300/523] lr: 2.302e-02, eta: 9:43:01, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.8256, top5_acc: 0.9775, loss_cls: 4.2301, loss: 4.2301 +2025-06-03 01:48:19,900 - pyskl - INFO - Epoch [158][400/523] lr: 2.297e-02, eta: 9:42:11, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8300, top5_acc: 0.9791, loss_cls: 4.2308, loss: 4.2308 +2025-06-03 01:49:04,307 - pyskl - INFO - Epoch [158][500/523] lr: 2.292e-02, eta: 9:41:22, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8134, top5_acc: 0.9788, loss_cls: 4.2769, loss: 4.2769 +2025-06-03 01:49:15,248 - pyskl - INFO - Saving checkpoint at 158 epochs +2025-06-03 01:49:43,802 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:49:43,875 - pyskl - INFO - +top1_acc 0.4088 +top5_acc 0.6288 +2025-06-03 01:49:43,875 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:49:43,885 - pyskl - INFO - +mean_acc 0.4108 +2025-06-03 01:49:43,888 - pyskl - INFO - Epoch(val) [158][198] top1_acc: 0.4088, top5_acc: 0.6288, mean_class_accuracy: 0.4108 +2025-06-03 01:50:54,214 - pyskl - INFO - Epoch [159][100/523] lr: 2.286e-02, eta: 9:40:35, time: 0.703, data_time: 0.254, memory: 7964, top1_acc: 0.8387, top5_acc: 0.9828, loss_cls: 4.1605, loss: 4.1605 +2025-06-03 01:51:38,574 - pyskl - INFO - Epoch [159][200/523] lr: 2.281e-02, eta: 9:39:46, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8416, top5_acc: 0.9791, loss_cls: 4.0708, loss: 4.0708 +2025-06-03 01:52:22,015 - pyskl - INFO - Epoch [159][300/523] lr: 2.276e-02, eta: 9:38:56, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8363, top5_acc: 0.9822, loss_cls: 4.2650, loss: 4.2650 +2025-06-03 01:53:06,398 - pyskl - INFO - Epoch [159][400/523] lr: 2.271e-02, eta: 9:38:06, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8178, top5_acc: 0.9731, loss_cls: 4.2849, loss: 4.2849 +2025-06-03 01:53:50,181 - pyskl - INFO - Epoch [159][500/523] lr: 2.266e-02, eta: 9:37:17, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8200, top5_acc: 0.9819, loss_cls: 4.2408, loss: 4.2408 +2025-06-03 01:54:00,776 - pyskl - INFO - Saving checkpoint at 159 epochs +2025-06-03 01:54:29,430 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:54:29,498 - pyskl - INFO - +top1_acc 0.4295 +top5_acc 0.6534 +2025-06-03 01:54:29,499 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:54:29,508 - pyskl - INFO - +mean_acc 0.4288 +2025-06-03 01:54:29,511 - pyskl - INFO - Epoch(val) [159][198] top1_acc: 0.4295, top5_acc: 0.6534, mean_class_accuracy: 0.4288 +2025-06-03 01:55:37,315 - pyskl - INFO - Epoch [160][100/523] lr: 2.260e-02, eta: 9:36:28, time: 0.678, data_time: 0.254, memory: 7964, top1_acc: 0.8581, top5_acc: 0.9850, loss_cls: 4.0239, loss: 4.0239 +2025-06-03 01:56:20,697 - pyskl - INFO - Epoch [160][200/523] lr: 2.255e-02, eta: 9:35:38, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8541, top5_acc: 0.9844, loss_cls: 4.0668, loss: 4.0668 +2025-06-03 01:57:04,534 - pyskl - INFO - Epoch [160][300/523] lr: 2.250e-02, eta: 9:34:48, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8456, top5_acc: 0.9831, loss_cls: 4.1492, loss: 4.1492 +2025-06-03 01:57:48,017 - pyskl - INFO - Epoch [160][400/523] lr: 2.245e-02, eta: 9:33:58, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8263, top5_acc: 0.9759, loss_cls: 4.2523, loss: 4.2523 +2025-06-03 01:58:32,347 - pyskl - INFO - Epoch [160][500/523] lr: 2.240e-02, eta: 9:33:09, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8203, top5_acc: 0.9747, loss_cls: 4.2181, loss: 4.2181 +2025-06-03 01:58:42,913 - pyskl - INFO - Saving checkpoint at 160 epochs +2025-06-03 01:59:11,556 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:59:11,624 - pyskl - INFO - +top1_acc 0.4008 +top5_acc 0.6283 +2025-06-03 01:59:11,624 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 01:59:11,631 - pyskl - INFO - +mean_acc 0.4002 +2025-06-03 01:59:11,633 - pyskl - INFO - Epoch(val) [160][198] top1_acc: 0.4008, top5_acc: 0.6283, mean_class_accuracy: 0.4002 +2025-06-03 02:00:21,702 - pyskl - INFO - Epoch [161][100/523] lr: 2.234e-02, eta: 9:32:22, time: 0.701, data_time: 0.256, memory: 7964, top1_acc: 0.8475, top5_acc: 0.9844, loss_cls: 4.0624, loss: 4.0624 +2025-06-03 02:01:06,017 - pyskl - INFO - Epoch [161][200/523] lr: 2.229e-02, eta: 9:31:32, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8381, top5_acc: 0.9809, loss_cls: 4.1458, loss: 4.1458 +2025-06-03 02:01:49,529 - pyskl - INFO - Epoch [161][300/523] lr: 2.224e-02, eta: 9:30:42, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8334, top5_acc: 0.9822, loss_cls: 4.1459, loss: 4.1459 +2025-06-03 02:02:33,959 - pyskl - INFO - Epoch [161][400/523] lr: 2.219e-02, eta: 9:29:53, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8197, top5_acc: 0.9784, loss_cls: 4.2246, loss: 4.2246 +2025-06-03 02:03:17,062 - pyskl - INFO - Epoch [161][500/523] lr: 2.214e-02, eta: 9:29:03, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8281, top5_acc: 0.9747, loss_cls: 4.1679, loss: 4.1679 +2025-06-03 02:03:27,668 - pyskl - INFO - Saving checkpoint at 161 epochs +2025-06-03 02:03:55,965 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:03:56,034 - pyskl - INFO - +top1_acc 0.4110 +top5_acc 0.6165 +2025-06-03 02:03:56,035 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:03:56,042 - pyskl - INFO - +mean_acc 0.4103 +2025-06-03 02:03:56,043 - pyskl - INFO - Epoch(val) [161][198] top1_acc: 0.4110, top5_acc: 0.6165, mean_class_accuracy: 0.4103 +2025-06-03 02:05:05,469 - pyskl - INFO - Epoch [162][100/523] lr: 2.208e-02, eta: 9:28:15, time: 0.694, data_time: 0.252, memory: 7964, top1_acc: 0.8578, top5_acc: 0.9831, loss_cls: 3.9604, loss: 3.9604 +2025-06-03 02:05:49,878 - pyskl - INFO - Epoch [162][200/523] lr: 2.203e-02, eta: 9:27:26, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8591, top5_acc: 0.9847, loss_cls: 4.0333, loss: 4.0333 +2025-06-03 02:06:33,762 - pyskl - INFO - Epoch [162][300/523] lr: 2.198e-02, eta: 9:26:37, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8325, top5_acc: 0.9816, loss_cls: 4.0779, loss: 4.0779 +2025-06-03 02:07:17,825 - pyskl - INFO - Epoch [162][400/523] lr: 2.193e-02, eta: 9:25:47, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8294, top5_acc: 0.9756, loss_cls: 4.1019, loss: 4.1019 +2025-06-03 02:08:02,332 - pyskl - INFO - Epoch [162][500/523] lr: 2.188e-02, eta: 9:24:58, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8159, top5_acc: 0.9728, loss_cls: 4.2876, loss: 4.2876 +2025-06-03 02:08:13,362 - pyskl - INFO - Saving checkpoint at 162 epochs +2025-06-03 02:08:41,906 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:08:41,973 - pyskl - INFO - +top1_acc 0.3997 +top5_acc 0.6230 +2025-06-03 02:08:41,973 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:08:41,980 - pyskl - INFO - +mean_acc 0.3981 +2025-06-03 02:08:41,981 - pyskl - INFO - Epoch(val) [162][198] top1_acc: 0.3997, top5_acc: 0.6230, mean_class_accuracy: 0.3981 +2025-06-03 02:09:52,113 - pyskl - INFO - Epoch [163][100/523] lr: 2.182e-02, eta: 9:24:11, time: 0.701, data_time: 0.254, memory: 7964, top1_acc: 0.8519, top5_acc: 0.9825, loss_cls: 4.0407, loss: 4.0407 +2025-06-03 02:10:36,358 - pyskl - INFO - Epoch [163][200/523] lr: 2.177e-02, eta: 9:23:22, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8528, top5_acc: 0.9825, loss_cls: 4.0996, loss: 4.0996 +2025-06-03 02:11:19,438 - pyskl - INFO - Epoch [163][300/523] lr: 2.172e-02, eta: 9:22:31, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8484, top5_acc: 0.9825, loss_cls: 4.0549, loss: 4.0549 +2025-06-03 02:12:03,536 - pyskl - INFO - Epoch [163][400/523] lr: 2.167e-02, eta: 9:21:42, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8291, top5_acc: 0.9759, loss_cls: 4.2462, loss: 4.2462 +2025-06-03 02:12:47,481 - pyskl - INFO - Epoch [163][500/523] lr: 2.162e-02, eta: 9:20:52, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8341, top5_acc: 0.9803, loss_cls: 4.1879, loss: 4.1879 +2025-06-03 02:12:58,237 - pyskl - INFO - Saving checkpoint at 163 epochs +2025-06-03 02:13:26,937 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:13:27,009 - pyskl - INFO - +top1_acc 0.4240 +top5_acc 0.6391 +2025-06-03 02:13:27,009 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:13:27,022 - pyskl - INFO - +mean_acc 0.4233 +2025-06-03 02:13:27,024 - pyskl - INFO - Epoch(val) [163][198] top1_acc: 0.4240, top5_acc: 0.6391, mean_class_accuracy: 0.4233 +2025-06-03 02:14:38,803 - pyskl - INFO - Epoch [164][100/523] lr: 2.156e-02, eta: 9:20:06, time: 0.718, data_time: 0.265, memory: 7964, top1_acc: 0.8669, top5_acc: 0.9834, loss_cls: 4.0770, loss: 4.0770 +2025-06-03 02:15:23,709 - pyskl - INFO - Epoch [164][200/523] lr: 2.151e-02, eta: 9:19:18, time: 0.449, data_time: 0.000, memory: 7964, top1_acc: 0.8494, top5_acc: 0.9828, loss_cls: 4.1704, loss: 4.1704 +2025-06-03 02:16:08,082 - pyskl - INFO - Epoch [164][300/523] lr: 2.146e-02, eta: 9:18:29, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8472, top5_acc: 0.9841, loss_cls: 3.9869, loss: 3.9869 +2025-06-03 02:16:51,513 - pyskl - INFO - Epoch [164][400/523] lr: 2.141e-02, eta: 9:17:39, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8397, top5_acc: 0.9834, loss_cls: 4.2156, loss: 4.2156 +2025-06-03 02:17:35,072 - pyskl - INFO - Epoch [164][500/523] lr: 2.136e-02, eta: 9:16:49, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8303, top5_acc: 0.9812, loss_cls: 4.1502, loss: 4.1502 +2025-06-03 02:17:45,613 - pyskl - INFO - Saving checkpoint at 164 epochs +2025-06-03 02:18:13,881 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:18:13,950 - pyskl - INFO - +top1_acc 0.4111 +top5_acc 0.6404 +2025-06-03 02:18:13,950 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:18:13,960 - pyskl - INFO - +mean_acc 0.4112 +2025-06-03 02:18:13,962 - pyskl - INFO - Epoch(val) [164][198] top1_acc: 0.4111, top5_acc: 0.6404, mean_class_accuracy: 0.4112 +2025-06-03 02:19:23,939 - pyskl - INFO - Epoch [165][100/523] lr: 2.130e-02, eta: 9:16:01, time: 0.700, data_time: 0.256, memory: 7964, top1_acc: 0.8584, top5_acc: 0.9850, loss_cls: 4.0306, loss: 4.0306 +2025-06-03 02:20:08,048 - pyskl - INFO - Epoch [165][200/523] lr: 2.125e-02, eta: 9:15:12, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8484, top5_acc: 0.9834, loss_cls: 3.9228, loss: 3.9228 +2025-06-03 02:20:52,275 - pyskl - INFO - Epoch [165][300/523] lr: 2.120e-02, eta: 9:14:23, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8250, top5_acc: 0.9775, loss_cls: 4.1212, loss: 4.1212 +2025-06-03 02:21:36,119 - pyskl - INFO - Epoch [165][400/523] lr: 2.115e-02, eta: 9:13:33, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8353, top5_acc: 0.9812, loss_cls: 4.1074, loss: 4.1074 +2025-06-03 02:22:19,215 - pyskl - INFO - Epoch [165][500/523] lr: 2.110e-02, eta: 9:12:43, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8381, top5_acc: 0.9809, loss_cls: 4.2012, loss: 4.2012 +2025-06-03 02:22:30,003 - pyskl - INFO - Saving checkpoint at 165 epochs +2025-06-03 02:22:58,340 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:22:58,411 - pyskl - INFO - +top1_acc 0.4262 +top5_acc 0.6466 +2025-06-03 02:22:58,411 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:22:58,419 - pyskl - INFO - +mean_acc 0.4266 +2025-06-03 02:22:58,420 - pyskl - INFO - Epoch(val) [165][198] top1_acc: 0.4262, top5_acc: 0.6466, mean_class_accuracy: 0.4266 +2025-06-03 02:24:08,563 - pyskl - INFO - Epoch [166][100/523] lr: 2.104e-02, eta: 9:11:55, time: 0.701, data_time: 0.258, memory: 7964, top1_acc: 0.8622, top5_acc: 0.9888, loss_cls: 4.0678, loss: 4.0678 +2025-06-03 02:24:52,870 - pyskl - INFO - Epoch [166][200/523] lr: 2.099e-02, eta: 9:11:06, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8519, top5_acc: 0.9812, loss_cls: 4.0986, loss: 4.0986 +2025-06-03 02:25:37,257 - pyskl - INFO - Epoch [166][300/523] lr: 2.094e-02, eta: 9:10:17, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8516, top5_acc: 0.9831, loss_cls: 4.1134, loss: 4.1134 +2025-06-03 02:26:22,042 - pyskl - INFO - Epoch [166][400/523] lr: 2.089e-02, eta: 9:09:28, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.8269, top5_acc: 0.9825, loss_cls: 4.0888, loss: 4.0888 +2025-06-03 02:27:06,780 - pyskl - INFO - Epoch [166][500/523] lr: 2.084e-02, eta: 9:08:40, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.8353, top5_acc: 0.9784, loss_cls: 4.1500, loss: 4.1500 +2025-06-03 02:27:17,670 - pyskl - INFO - Saving checkpoint at 166 epochs +2025-06-03 02:27:46,246 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:27:46,315 - pyskl - INFO - +top1_acc 0.4199 +top5_acc 0.6358 +2025-06-03 02:27:46,315 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:27:46,325 - pyskl - INFO - +mean_acc 0.4204 +2025-06-03 02:27:46,327 - pyskl - INFO - Epoch(val) [166][198] top1_acc: 0.4199, top5_acc: 0.6358, mean_class_accuracy: 0.4204 +2025-06-03 02:28:55,658 - pyskl - INFO - Epoch [167][100/523] lr: 2.078e-02, eta: 9:07:51, time: 0.693, data_time: 0.258, memory: 7964, top1_acc: 0.8691, top5_acc: 0.9891, loss_cls: 3.9857, loss: 3.9857 +2025-06-03 02:29:40,052 - pyskl - INFO - Epoch [167][200/523] lr: 2.073e-02, eta: 9:07:02, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8553, top5_acc: 0.9862, loss_cls: 3.9839, loss: 3.9839 +2025-06-03 02:30:23,810 - pyskl - INFO - Epoch [167][300/523] lr: 2.068e-02, eta: 9:06:13, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8394, top5_acc: 0.9822, loss_cls: 4.1017, loss: 4.1017 +2025-06-03 02:31:06,041 - pyskl - INFO - Epoch [167][400/523] lr: 2.063e-02, eta: 9:05:22, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.8422, top5_acc: 0.9822, loss_cls: 4.0824, loss: 4.0824 +2025-06-03 02:31:50,206 - pyskl - INFO - Epoch [167][500/523] lr: 2.058e-02, eta: 9:04:33, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8469, top5_acc: 0.9831, loss_cls: 4.0860, loss: 4.0860 +2025-06-03 02:32:00,678 - pyskl - INFO - Saving checkpoint at 167 epochs +2025-06-03 02:32:28,866 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:32:28,935 - pyskl - INFO - +top1_acc 0.4187 +top5_acc 0.6401 +2025-06-03 02:32:28,935 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:32:28,942 - pyskl - INFO - +mean_acc 0.4180 +2025-06-03 02:32:28,943 - pyskl - INFO - Epoch(val) [167][198] top1_acc: 0.4187, top5_acc: 0.6401, mean_class_accuracy: 0.4180 +2025-06-03 02:33:38,763 - pyskl - INFO - Epoch [168][100/523] lr: 2.052e-02, eta: 9:03:45, time: 0.698, data_time: 0.256, memory: 7964, top1_acc: 0.8712, top5_acc: 0.9906, loss_cls: 3.8876, loss: 3.8876 +2025-06-03 02:34:23,013 - pyskl - INFO - Epoch [168][200/523] lr: 2.047e-02, eta: 9:02:55, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8553, top5_acc: 0.9822, loss_cls: 4.0559, loss: 4.0559 +2025-06-03 02:35:06,712 - pyskl - INFO - Epoch [168][300/523] lr: 2.043e-02, eta: 9:02:06, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.8612, top5_acc: 0.9847, loss_cls: 4.0025, loss: 4.0025 +2025-06-03 02:35:50,111 - pyskl - INFO - Epoch [168][400/523] lr: 2.038e-02, eta: 9:01:16, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.8438, top5_acc: 0.9788, loss_cls: 4.1349, loss: 4.1349 +2025-06-03 02:36:34,843 - pyskl - INFO - Epoch [168][500/523] lr: 2.033e-02, eta: 9:00:27, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.8409, top5_acc: 0.9731, loss_cls: 4.0717, loss: 4.0717 +2025-06-03 02:36:45,867 - pyskl - INFO - Saving checkpoint at 168 epochs +2025-06-03 02:37:14,416 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:37:14,493 - pyskl - INFO - +top1_acc 0.4224 +top5_acc 0.6485 +2025-06-03 02:37:14,493 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:37:14,501 - pyskl - INFO - +mean_acc 0.4211 +2025-06-03 02:37:14,503 - pyskl - INFO - Epoch(val) [168][198] top1_acc: 0.4224, top5_acc: 0.6485, mean_class_accuracy: 0.4211 +2025-06-03 02:38:24,388 - pyskl - INFO - Epoch [169][100/523] lr: 2.027e-02, eta: 8:59:39, time: 0.699, data_time: 0.259, memory: 7964, top1_acc: 0.8700, top5_acc: 0.9878, loss_cls: 3.9905, loss: 3.9905 +2025-06-03 02:39:07,660 - pyskl - INFO - Epoch [169][200/523] lr: 2.022e-02, eta: 8:58:49, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.8662, top5_acc: 0.9850, loss_cls: 3.9494, loss: 3.9494 +2025-06-03 02:39:51,664 - pyskl - INFO - Epoch [169][300/523] lr: 2.017e-02, eta: 8:58:00, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8528, top5_acc: 0.9853, loss_cls: 4.0031, loss: 4.0031 +2025-06-03 02:40:35,755 - pyskl - INFO - Epoch [169][400/523] lr: 2.012e-02, eta: 8:57:11, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8416, top5_acc: 0.9825, loss_cls: 4.0971, loss: 4.0971 +2025-06-03 02:41:20,148 - pyskl - INFO - Epoch [169][500/523] lr: 2.007e-02, eta: 8:56:22, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8372, top5_acc: 0.9784, loss_cls: 4.1107, loss: 4.1107 +2025-06-03 02:41:31,076 - pyskl - INFO - Saving checkpoint at 169 epochs +2025-06-03 02:41:59,485 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:41:59,553 - pyskl - INFO - +top1_acc 0.4129 +top5_acc 0.6147 +2025-06-03 02:41:59,554 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:41:59,561 - pyskl - INFO - +mean_acc 0.4120 +2025-06-03 02:41:59,562 - pyskl - INFO - Epoch(val) [169][198] top1_acc: 0.4129, top5_acc: 0.6147, mean_class_accuracy: 0.4120 +2025-06-03 02:43:10,138 - pyskl - INFO - Epoch [170][100/523] lr: 2.001e-02, eta: 8:55:34, time: 0.706, data_time: 0.255, memory: 7964, top1_acc: 0.8622, top5_acc: 0.9900, loss_cls: 3.9519, loss: 3.9519 +2025-06-03 02:43:53,975 - pyskl - INFO - Epoch [170][200/523] lr: 1.996e-02, eta: 8:54:45, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8716, top5_acc: 0.9859, loss_cls: 4.0238, loss: 4.0238 +2025-06-03 02:44:37,714 - pyskl - INFO - Epoch [170][300/523] lr: 1.991e-02, eta: 8:53:55, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.8516, top5_acc: 0.9853, loss_cls: 4.0437, loss: 4.0437 +2025-06-03 02:45:22,547 - pyskl - INFO - Epoch [170][400/523] lr: 1.986e-02, eta: 8:53:07, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.8562, top5_acc: 0.9847, loss_cls: 4.1005, loss: 4.1005 +2025-06-03 02:46:07,179 - pyskl - INFO - Epoch [170][500/523] lr: 1.981e-02, eta: 8:52:18, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8538, top5_acc: 0.9825, loss_cls: 4.0713, loss: 4.0713 +2025-06-03 02:46:18,127 - pyskl - INFO - Saving checkpoint at 170 epochs +2025-06-03 02:46:46,308 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:46:46,380 - pyskl - INFO - +top1_acc 0.4187 +top5_acc 0.6407 +2025-06-03 02:46:46,380 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:46:46,389 - pyskl - INFO - +mean_acc 0.4183 +2025-06-03 02:46:46,390 - pyskl - INFO - Epoch(val) [170][198] top1_acc: 0.4187, top5_acc: 0.6407, mean_class_accuracy: 0.4183 +2025-06-03 02:47:56,050 - pyskl - INFO - Epoch [171][100/523] lr: 1.975e-02, eta: 8:51:29, time: 0.697, data_time: 0.256, memory: 7964, top1_acc: 0.8806, top5_acc: 0.9878, loss_cls: 3.8932, loss: 3.8932 +2025-06-03 02:48:39,881 - pyskl - INFO - Epoch [171][200/523] lr: 1.970e-02, eta: 8:50:40, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8650, top5_acc: 0.9850, loss_cls: 4.0640, loss: 4.0640 +2025-06-03 02:49:24,127 - pyskl - INFO - Epoch [171][300/523] lr: 1.966e-02, eta: 8:49:51, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8594, top5_acc: 0.9884, loss_cls: 3.9337, loss: 3.9337 +2025-06-03 02:50:08,621 - pyskl - INFO - Epoch [171][400/523] lr: 1.961e-02, eta: 8:49:02, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8459, top5_acc: 0.9806, loss_cls: 4.0683, loss: 4.0683 +2025-06-03 02:50:52,561 - pyskl - INFO - Epoch [171][500/523] lr: 1.956e-02, eta: 8:48:13, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8341, top5_acc: 0.9800, loss_cls: 4.1338, loss: 4.1338 +2025-06-03 02:51:03,496 - pyskl - INFO - Saving checkpoint at 171 epochs +2025-06-03 02:51:31,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:51:31,605 - pyskl - INFO - +top1_acc 0.4305 +top5_acc 0.6512 +2025-06-03 02:51:31,605 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:51:31,612 - pyskl - INFO - +mean_acc 0.4301 +2025-06-03 02:51:31,614 - pyskl - INFO - Epoch(val) [171][198] top1_acc: 0.4305, top5_acc: 0.6512, mean_class_accuracy: 0.4301 +2025-06-03 02:52:40,658 - pyskl - INFO - Epoch [172][100/523] lr: 1.950e-02, eta: 8:47:23, time: 0.690, data_time: 0.253, memory: 7964, top1_acc: 0.8688, top5_acc: 0.9856, loss_cls: 3.9042, loss: 3.9042 +2025-06-03 02:53:23,802 - pyskl - INFO - Epoch [172][200/523] lr: 1.945e-02, eta: 8:46:34, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8731, top5_acc: 0.9894, loss_cls: 3.9232, loss: 3.9232 +2025-06-03 02:54:07,535 - pyskl - INFO - Epoch [172][300/523] lr: 1.940e-02, eta: 8:45:44, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.8694, top5_acc: 0.9872, loss_cls: 3.9405, loss: 3.9405 +2025-06-03 02:54:51,191 - pyskl - INFO - Epoch [172][400/523] lr: 1.935e-02, eta: 8:44:55, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8406, top5_acc: 0.9834, loss_cls: 4.0634, loss: 4.0634 +2025-06-03 02:55:34,952 - pyskl - INFO - Epoch [172][500/523] lr: 1.930e-02, eta: 8:44:05, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8572, top5_acc: 0.9844, loss_cls: 4.0512, loss: 4.0512 +2025-06-03 02:55:45,835 - pyskl - INFO - Saving checkpoint at 172 epochs +2025-06-03 02:56:14,163 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:56:14,232 - pyskl - INFO - +top1_acc 0.4222 +top5_acc 0.6401 +2025-06-03 02:56:14,232 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 02:56:14,240 - pyskl - INFO - +mean_acc 0.4224 +2025-06-03 02:56:14,241 - pyskl - INFO - Epoch(val) [172][198] top1_acc: 0.4222, top5_acc: 0.6401, mean_class_accuracy: 0.4224 +2025-06-03 02:57:24,301 - pyskl - INFO - Epoch [173][100/523] lr: 1.924e-02, eta: 8:43:17, time: 0.701, data_time: 0.252, memory: 7964, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 3.7737, loss: 3.7737 +2025-06-03 02:58:08,230 - pyskl - INFO - Epoch [173][200/523] lr: 1.919e-02, eta: 8:42:28, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8762, top5_acc: 0.9853, loss_cls: 3.9358, loss: 3.9358 +2025-06-03 02:58:51,505 - pyskl - INFO - Epoch [173][300/523] lr: 1.915e-02, eta: 8:41:38, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.8666, top5_acc: 0.9881, loss_cls: 3.8021, loss: 3.8021 +2025-06-03 02:59:35,510 - pyskl - INFO - Epoch [173][400/523] lr: 1.910e-02, eta: 8:40:49, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8497, top5_acc: 0.9897, loss_cls: 4.0449, loss: 4.0449 +2025-06-03 03:00:19,996 - pyskl - INFO - Epoch [173][500/523] lr: 1.905e-02, eta: 8:40:00, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8456, top5_acc: 0.9797, loss_cls: 4.0907, loss: 4.0907 +2025-06-03 03:00:30,878 - pyskl - INFO - Saving checkpoint at 173 epochs +2025-06-03 03:00:59,061 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:00:59,129 - pyskl - INFO - +top1_acc 0.4192 +top5_acc 0.6450 +2025-06-03 03:00:59,130 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:00:59,138 - pyskl - INFO - +mean_acc 0.4198 +2025-06-03 03:00:59,139 - pyskl - INFO - Epoch(val) [173][198] top1_acc: 0.4192, top5_acc: 0.6450, mean_class_accuracy: 0.4198 +2025-06-03 03:02:08,278 - pyskl - INFO - Epoch [174][100/523] lr: 1.899e-02, eta: 8:39:10, time: 0.691, data_time: 0.252, memory: 7964, top1_acc: 0.8853, top5_acc: 0.9922, loss_cls: 3.7523, loss: 3.7523 +2025-06-03 03:02:52,499 - pyskl - INFO - Epoch [174][200/523] lr: 1.894e-02, eta: 8:38:21, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8822, top5_acc: 0.9906, loss_cls: 3.9203, loss: 3.9203 +2025-06-03 03:03:37,335 - pyskl - INFO - Epoch [174][300/523] lr: 1.889e-02, eta: 8:37:33, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.8597, top5_acc: 0.9834, loss_cls: 4.0127, loss: 4.0127 +2025-06-03 03:04:21,088 - pyskl - INFO - Epoch [174][400/523] lr: 1.884e-02, eta: 8:36:44, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8547, top5_acc: 0.9844, loss_cls: 3.9732, loss: 3.9732 +2025-06-03 03:05:05,327 - pyskl - INFO - Epoch [174][500/523] lr: 1.879e-02, eta: 8:35:55, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8484, top5_acc: 0.9850, loss_cls: 3.9692, loss: 3.9692 +2025-06-03 03:05:16,065 - pyskl - INFO - Saving checkpoint at 174 epochs +2025-06-03 03:05:44,712 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:05:44,781 - pyskl - INFO - +top1_acc 0.4194 +top5_acc 0.6452 +2025-06-03 03:05:44,782 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:05:44,789 - pyskl - INFO - +mean_acc 0.4202 +2025-06-03 03:05:44,791 - pyskl - INFO - Epoch(val) [174][198] top1_acc: 0.4194, top5_acc: 0.6452, mean_class_accuracy: 0.4202 +2025-06-03 03:06:54,784 - pyskl - INFO - Epoch [175][100/523] lr: 1.873e-02, eta: 8:35:06, time: 0.700, data_time: 0.259, memory: 7964, top1_acc: 0.8962, top5_acc: 0.9916, loss_cls: 3.7952, loss: 3.7952 +2025-06-03 03:07:38,539 - pyskl - INFO - Epoch [175][200/523] lr: 1.869e-02, eta: 8:34:17, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8759, top5_acc: 0.9869, loss_cls: 3.9957, loss: 3.9957 +2025-06-03 03:08:22,927 - pyskl - INFO - Epoch [175][300/523] lr: 1.864e-02, eta: 8:33:28, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8709, top5_acc: 0.9850, loss_cls: 3.9987, loss: 3.9987 +2025-06-03 03:09:07,139 - pyskl - INFO - Epoch [175][400/523] lr: 1.859e-02, eta: 8:32:39, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8472, top5_acc: 0.9872, loss_cls: 4.0875, loss: 4.0875 +2025-06-03 03:09:52,165 - pyskl - INFO - Epoch [175][500/523] lr: 1.854e-02, eta: 8:31:50, time: 0.450, data_time: 0.000, memory: 7964, top1_acc: 0.8569, top5_acc: 0.9869, loss_cls: 3.9273, loss: 3.9273 +2025-06-03 03:10:03,092 - pyskl - INFO - Saving checkpoint at 175 epochs +2025-06-03 03:10:31,787 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:10:31,859 - pyskl - INFO - +top1_acc 0.4197 +top5_acc 0.6361 +2025-06-03 03:10:31,859 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:10:31,868 - pyskl - INFO - +mean_acc 0.4203 +2025-06-03 03:10:31,869 - pyskl - INFO - Epoch(val) [175][198] top1_acc: 0.4197, top5_acc: 0.6361, mean_class_accuracy: 0.4203 +2025-06-03 03:11:43,577 - pyskl - INFO - Epoch [176][100/523] lr: 1.848e-02, eta: 8:31:03, time: 0.717, data_time: 0.278, memory: 7964, top1_acc: 0.8728, top5_acc: 0.9909, loss_cls: 3.9003, loss: 3.9003 +2025-06-03 03:12:27,797 - pyskl - INFO - Epoch [176][200/523] lr: 1.843e-02, eta: 8:30:14, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8888, top5_acc: 0.9906, loss_cls: 3.7965, loss: 3.7965 +2025-06-03 03:13:12,320 - pyskl - INFO - Epoch [176][300/523] lr: 1.839e-02, eta: 8:29:25, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8675, top5_acc: 0.9866, loss_cls: 3.9317, loss: 3.9317 +2025-06-03 03:13:56,487 - pyskl - INFO - Epoch [176][400/523] lr: 1.834e-02, eta: 8:28:36, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8597, top5_acc: 0.9891, loss_cls: 4.0616, loss: 4.0616 +2025-06-03 03:14:41,011 - pyskl - INFO - Epoch [176][500/523] lr: 1.829e-02, eta: 8:27:47, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8638, top5_acc: 0.9853, loss_cls: 3.9616, loss: 3.9616 +2025-06-03 03:14:51,933 - pyskl - INFO - Saving checkpoint at 176 epochs +2025-06-03 03:15:20,137 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:15:20,206 - pyskl - INFO - +top1_acc 0.4189 +top5_acc 0.6356 +2025-06-03 03:15:20,207 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:15:20,214 - pyskl - INFO - +mean_acc 0.4188 +2025-06-03 03:15:20,216 - pyskl - INFO - Epoch(val) [176][198] top1_acc: 0.4189, top5_acc: 0.6356, mean_class_accuracy: 0.4188 +2025-06-03 03:16:30,514 - pyskl - INFO - Epoch [177][100/523] lr: 1.823e-02, eta: 8:26:58, time: 0.703, data_time: 0.258, memory: 7964, top1_acc: 0.8897, top5_acc: 0.9919, loss_cls: 3.8088, loss: 3.8088 +2025-06-03 03:17:14,990 - pyskl - INFO - Epoch [177][200/523] lr: 1.818e-02, eta: 8:26:10, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8794, top5_acc: 0.9912, loss_cls: 3.7884, loss: 3.7884 +2025-06-03 03:17:59,827 - pyskl - INFO - Epoch [177][300/523] lr: 1.813e-02, eta: 8:25:21, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.8706, top5_acc: 0.9888, loss_cls: 3.8385, loss: 3.8385 +2025-06-03 03:18:44,513 - pyskl - INFO - Epoch [177][400/523] lr: 1.808e-02, eta: 8:24:33, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.8700, top5_acc: 0.9866, loss_cls: 3.9796, loss: 3.9796 +2025-06-03 03:19:28,325 - pyskl - INFO - Epoch [177][500/523] lr: 1.804e-02, eta: 8:23:43, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8516, top5_acc: 0.9844, loss_cls: 4.0293, loss: 4.0293 +2025-06-03 03:19:39,252 - pyskl - INFO - Saving checkpoint at 177 epochs +2025-06-03 03:20:07,477 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:20:07,546 - pyskl - INFO - +top1_acc 0.4224 +top5_acc 0.6366 +2025-06-03 03:20:07,546 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:20:07,553 - pyskl - INFO - +mean_acc 0.4223 +2025-06-03 03:20:07,554 - pyskl - INFO - Epoch(val) [177][198] top1_acc: 0.4224, top5_acc: 0.6366, mean_class_accuracy: 0.4223 +2025-06-03 03:21:17,639 - pyskl - INFO - Epoch [178][100/523] lr: 1.798e-02, eta: 8:22:54, time: 0.701, data_time: 0.258, memory: 7964, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 3.6671, loss: 3.6671 +2025-06-03 03:22:01,609 - pyskl - INFO - Epoch [178][200/523] lr: 1.793e-02, eta: 8:22:05, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8938, top5_acc: 0.9941, loss_cls: 3.8063, loss: 3.8063 +2025-06-03 03:22:45,618 - pyskl - INFO - Epoch [178][300/523] lr: 1.788e-02, eta: 8:21:16, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8778, top5_acc: 0.9912, loss_cls: 3.7926, loss: 3.7926 +2025-06-03 03:23:29,467 - pyskl - INFO - Epoch [178][400/523] lr: 1.783e-02, eta: 8:20:27, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8706, top5_acc: 0.9859, loss_cls: 3.9317, loss: 3.9317 +2025-06-03 03:24:13,263 - pyskl - INFO - Epoch [178][500/523] lr: 1.779e-02, eta: 8:19:38, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.8616, top5_acc: 0.9881, loss_cls: 3.9872, loss: 3.9872 +2025-06-03 03:24:23,943 - pyskl - INFO - Saving checkpoint at 178 epochs +2025-06-03 03:24:52,333 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:24:52,404 - pyskl - INFO - +top1_acc 0.4143 +top5_acc 0.6418 +2025-06-03 03:24:52,404 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:24:52,414 - pyskl - INFO - +mean_acc 0.4141 +2025-06-03 03:24:52,417 - pyskl - INFO - Epoch(val) [178][198] top1_acc: 0.4143, top5_acc: 0.6418, mean_class_accuracy: 0.4141 +2025-06-03 03:26:01,859 - pyskl - INFO - Epoch [179][100/523] lr: 1.773e-02, eta: 8:18:48, time: 0.694, data_time: 0.257, memory: 7964, top1_acc: 0.8784, top5_acc: 0.9934, loss_cls: 3.7566, loss: 3.7566 +2025-06-03 03:26:45,962 - pyskl - INFO - Epoch [179][200/523] lr: 1.768e-02, eta: 8:17:59, time: 0.441, data_time: 0.001, memory: 7964, top1_acc: 0.8950, top5_acc: 0.9922, loss_cls: 3.7823, loss: 3.7823 +2025-06-03 03:27:29,832 - pyskl - INFO - Epoch [179][300/523] lr: 1.763e-02, eta: 8:17:10, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8747, top5_acc: 0.9888, loss_cls: 3.8345, loss: 3.8345 +2025-06-03 03:28:14,484 - pyskl - INFO - Epoch [179][400/523] lr: 1.758e-02, eta: 8:16:21, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.8719, top5_acc: 0.9878, loss_cls: 3.9813, loss: 3.9813 +2025-06-03 03:28:59,232 - pyskl - INFO - Epoch [179][500/523] lr: 1.754e-02, eta: 8:15:33, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.8688, top5_acc: 0.9888, loss_cls: 3.8556, loss: 3.8556 +2025-06-03 03:29:10,167 - pyskl - INFO - Saving checkpoint at 179 epochs +2025-06-03 03:29:38,671 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:29:38,741 - pyskl - INFO - +top1_acc 0.4368 +top5_acc 0.6523 +2025-06-03 03:29:38,741 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:29:38,749 - pyskl - INFO - +mean_acc 0.4363 +2025-06-03 03:29:38,803 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_154.pth was removed +2025-06-03 03:29:40,395 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_179.pth. +2025-06-03 03:29:40,397 - pyskl - INFO - Best top1_acc is 0.4368 at 179 epoch. +2025-06-03 03:29:40,399 - pyskl - INFO - Epoch(val) [179][198] top1_acc: 0.4368, top5_acc: 0.6523, mean_class_accuracy: 0.4363 +2025-06-03 03:30:49,355 - pyskl - INFO - Epoch [180][100/523] lr: 1.748e-02, eta: 8:14:43, time: 0.690, data_time: 0.251, memory: 7964, top1_acc: 0.8991, top5_acc: 0.9916, loss_cls: 3.7560, loss: 3.7560 +2025-06-03 03:31:33,066 - pyskl - INFO - Epoch [180][200/523] lr: 1.743e-02, eta: 8:13:54, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.8944, top5_acc: 0.9925, loss_cls: 3.7361, loss: 3.7361 +2025-06-03 03:32:17,766 - pyskl - INFO - Epoch [180][300/523] lr: 1.738e-02, eta: 8:13:05, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.8822, top5_acc: 0.9919, loss_cls: 3.8325, loss: 3.8325 +2025-06-03 03:33:02,422 - pyskl - INFO - Epoch [180][400/523] lr: 1.733e-02, eta: 8:12:17, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.8912, top5_acc: 0.9903, loss_cls: 3.8590, loss: 3.8590 +2025-06-03 03:33:47,378 - pyskl - INFO - Epoch [180][500/523] lr: 1.729e-02, eta: 8:11:28, time: 0.450, data_time: 0.000, memory: 7964, top1_acc: 0.8706, top5_acc: 0.9909, loss_cls: 3.8885, loss: 3.8885 +2025-06-03 03:33:58,354 - pyskl - INFO - Saving checkpoint at 180 epochs +2025-06-03 03:34:26,736 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:34:26,803 - pyskl - INFO - +top1_acc 0.4186 +top5_acc 0.6409 +2025-06-03 03:34:26,804 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:34:26,811 - pyskl - INFO - +mean_acc 0.4186 +2025-06-03 03:34:26,813 - pyskl - INFO - Epoch(val) [180][198] top1_acc: 0.4186, top5_acc: 0.6409, mean_class_accuracy: 0.4186 +2025-06-03 03:35:36,923 - pyskl - INFO - Epoch [181][100/523] lr: 1.723e-02, eta: 8:10:39, time: 0.701, data_time: 0.261, memory: 7964, top1_acc: 0.9075, top5_acc: 0.9947, loss_cls: 3.7424, loss: 3.7424 +2025-06-03 03:36:20,806 - pyskl - INFO - Epoch [181][200/523] lr: 1.718e-02, eta: 8:09:50, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 3.8220, loss: 3.8220 +2025-06-03 03:37:05,586 - pyskl - INFO - Epoch [181][300/523] lr: 1.713e-02, eta: 8:09:01, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.8647, top5_acc: 0.9872, loss_cls: 3.9227, loss: 3.9227 +2025-06-03 03:37:49,899 - pyskl - INFO - Epoch [181][400/523] lr: 1.708e-02, eta: 8:08:12, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8750, top5_acc: 0.9875, loss_cls: 3.8638, loss: 3.8638 +2025-06-03 03:38:33,151 - pyskl - INFO - Epoch [181][500/523] lr: 1.704e-02, eta: 8:07:23, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.8725, top5_acc: 0.9878, loss_cls: 3.8937, loss: 3.8937 +2025-06-03 03:38:43,716 - pyskl - INFO - Saving checkpoint at 181 epochs +2025-06-03 03:39:12,089 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:39:12,163 - pyskl - INFO - +top1_acc 0.4230 +top5_acc 0.6387 +2025-06-03 03:39:12,163 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:39:12,171 - pyskl - INFO - +mean_acc 0.4222 +2025-06-03 03:39:12,173 - pyskl - INFO - Epoch(val) [181][198] top1_acc: 0.4230, top5_acc: 0.6387, mean_class_accuracy: 0.4222 +2025-06-03 03:40:21,886 - pyskl - INFO - Epoch [182][100/523] lr: 1.698e-02, eta: 8:06:33, time: 0.697, data_time: 0.258, memory: 7964, top1_acc: 0.9038, top5_acc: 0.9953, loss_cls: 3.6674, loss: 3.6674 +2025-06-03 03:41:06,048 - pyskl - INFO - Epoch [182][200/523] lr: 1.693e-02, eta: 8:05:44, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8925, top5_acc: 0.9891, loss_cls: 3.8212, loss: 3.8212 +2025-06-03 03:41:50,068 - pyskl - INFO - Epoch [182][300/523] lr: 1.688e-02, eta: 8:04:55, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 3.9001, loss: 3.9001 +2025-06-03 03:42:34,295 - pyskl - INFO - Epoch [182][400/523] lr: 1.684e-02, eta: 8:04:07, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8838, top5_acc: 0.9900, loss_cls: 3.7797, loss: 3.7797 +2025-06-03 03:43:18,601 - pyskl - INFO - Epoch [182][500/523] lr: 1.679e-02, eta: 8:03:18, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8672, top5_acc: 0.9866, loss_cls: 3.9210, loss: 3.9210 +2025-06-03 03:43:29,389 - pyskl - INFO - Saving checkpoint at 182 epochs +2025-06-03 03:43:57,586 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:43:57,657 - pyskl - INFO - +top1_acc 0.4254 +top5_acc 0.6488 +2025-06-03 03:43:57,658 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:43:57,665 - pyskl - INFO - +mean_acc 0.4252 +2025-06-03 03:43:57,667 - pyskl - INFO - Epoch(val) [182][198] top1_acc: 0.4254, top5_acc: 0.6488, mean_class_accuracy: 0.4252 +2025-06-03 03:45:07,058 - pyskl - INFO - Epoch [183][100/523] lr: 1.673e-02, eta: 8:02:28, time: 0.694, data_time: 0.251, memory: 7964, top1_acc: 0.9131, top5_acc: 0.9947, loss_cls: 3.6317, loss: 3.6317 +2025-06-03 03:45:51,154 - pyskl - INFO - Epoch [183][200/523] lr: 1.668e-02, eta: 8:01:39, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9022, top5_acc: 0.9928, loss_cls: 3.7122, loss: 3.7122 +2025-06-03 03:46:36,160 - pyskl - INFO - Epoch [183][300/523] lr: 1.664e-02, eta: 8:00:51, time: 0.450, data_time: 0.000, memory: 7964, top1_acc: 0.8753, top5_acc: 0.9894, loss_cls: 3.7941, loss: 3.7941 +2025-06-03 03:47:20,412 - pyskl - INFO - Epoch [183][400/523] lr: 1.659e-02, eta: 8:00:02, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8719, top5_acc: 0.9897, loss_cls: 3.9498, loss: 3.9498 +2025-06-03 03:48:04,820 - pyskl - INFO - Epoch [183][500/523] lr: 1.654e-02, eta: 7:59:13, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8666, top5_acc: 0.9900, loss_cls: 3.8801, loss: 3.8801 +2025-06-03 03:48:15,651 - pyskl - INFO - Saving checkpoint at 183 epochs +2025-06-03 03:48:44,181 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:48:44,249 - pyskl - INFO - +top1_acc 0.4279 +top5_acc 0.6383 +2025-06-03 03:48:44,250 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:48:44,257 - pyskl - INFO - +mean_acc 0.4286 +2025-06-03 03:48:44,258 - pyskl - INFO - Epoch(val) [183][198] top1_acc: 0.4279, top5_acc: 0.6383, mean_class_accuracy: 0.4286 +2025-06-03 03:49:54,205 - pyskl - INFO - Epoch [184][100/523] lr: 1.648e-02, eta: 7:58:23, time: 0.699, data_time: 0.254, memory: 7964, top1_acc: 0.9031, top5_acc: 0.9934, loss_cls: 3.7202, loss: 3.7202 +2025-06-03 03:50:38,784 - pyskl - INFO - Epoch [184][200/523] lr: 1.644e-02, eta: 7:57:35, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8941, top5_acc: 0.9888, loss_cls: 3.6883, loss: 3.6883 +2025-06-03 03:51:23,578 - pyskl - INFO - Epoch [184][300/523] lr: 1.639e-02, eta: 7:56:46, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.8944, top5_acc: 0.9919, loss_cls: 3.7500, loss: 3.7500 +2025-06-03 03:52:07,913 - pyskl - INFO - Epoch [184][400/523] lr: 1.634e-02, eta: 7:55:58, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8856, top5_acc: 0.9925, loss_cls: 3.7927, loss: 3.7927 +2025-06-03 03:52:52,207 - pyskl - INFO - Epoch [184][500/523] lr: 1.630e-02, eta: 7:55:09, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8816, top5_acc: 0.9888, loss_cls: 3.8138, loss: 3.8138 +2025-06-03 03:53:03,176 - pyskl - INFO - Saving checkpoint at 184 epochs +2025-06-03 03:53:31,238 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:53:31,310 - pyskl - INFO - +top1_acc 0.4340 +top5_acc 0.6467 +2025-06-03 03:53:31,311 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:53:31,319 - pyskl - INFO - +mean_acc 0.4315 +2025-06-03 03:53:31,321 - pyskl - INFO - Epoch(val) [184][198] top1_acc: 0.4340, top5_acc: 0.6467, mean_class_accuracy: 0.4315 +2025-06-03 03:54:39,916 - pyskl - INFO - Epoch [185][100/523] lr: 1.624e-02, eta: 7:54:18, time: 0.686, data_time: 0.251, memory: 7964, top1_acc: 0.9041, top5_acc: 0.9941, loss_cls: 3.6971, loss: 3.6971 +2025-06-03 03:55:24,452 - pyskl - INFO - Epoch [185][200/523] lr: 1.619e-02, eta: 7:53:29, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9003, top5_acc: 0.9934, loss_cls: 3.7758, loss: 3.7758 +2025-06-03 03:56:08,848 - pyskl - INFO - Epoch [185][300/523] lr: 1.615e-02, eta: 7:52:41, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8953, top5_acc: 0.9922, loss_cls: 3.6810, loss: 3.6810 +2025-06-03 03:56:52,964 - pyskl - INFO - Epoch [185][400/523] lr: 1.610e-02, eta: 7:51:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8856, top5_acc: 0.9903, loss_cls: 3.8951, loss: 3.8951 +2025-06-03 03:57:37,209 - pyskl - INFO - Epoch [185][500/523] lr: 1.605e-02, eta: 7:51:03, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8728, top5_acc: 0.9884, loss_cls: 3.9749, loss: 3.9749 +2025-06-03 03:57:47,944 - pyskl - INFO - Saving checkpoint at 185 epochs +2025-06-03 03:58:16,354 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:58:16,423 - pyskl - INFO - +top1_acc 0.4395 +top5_acc 0.6505 +2025-06-03 03:58:16,423 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 03:58:16,430 - pyskl - INFO - +mean_acc 0.4404 +2025-06-03 03:58:16,485 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_179.pth was removed +2025-06-03 03:58:18,049 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_185.pth. +2025-06-03 03:58:18,051 - pyskl - INFO - Best top1_acc is 0.4395 at 185 epoch. +2025-06-03 03:58:18,054 - pyskl - INFO - Epoch(val) [185][198] top1_acc: 0.4395, top5_acc: 0.6505, mean_class_accuracy: 0.4404 +2025-06-03 03:59:25,561 - pyskl - INFO - Epoch [186][100/523] lr: 1.599e-02, eta: 7:50:12, time: 0.675, data_time: 0.245, memory: 7964, top1_acc: 0.9078, top5_acc: 0.9953, loss_cls: 3.6807, loss: 3.6807 +2025-06-03 04:00:09,644 - pyskl - INFO - Epoch [186][200/523] lr: 1.595e-02, eta: 7:49:23, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9078, top5_acc: 0.9947, loss_cls: 3.6249, loss: 3.6249 +2025-06-03 04:00:54,014 - pyskl - INFO - Epoch [186][300/523] lr: 1.590e-02, eta: 7:48:34, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9003, top5_acc: 0.9938, loss_cls: 3.7954, loss: 3.7954 +2025-06-03 04:01:38,754 - pyskl - INFO - Epoch [186][400/523] lr: 1.585e-02, eta: 7:47:46, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.8869, top5_acc: 0.9928, loss_cls: 3.7682, loss: 3.7682 +2025-06-03 04:02:22,353 - pyskl - INFO - Epoch [186][500/523] lr: 1.581e-02, eta: 7:46:57, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.8762, top5_acc: 0.9881, loss_cls: 3.8894, loss: 3.8894 +2025-06-03 04:02:33,287 - pyskl - INFO - Saving checkpoint at 186 epochs +2025-06-03 04:03:01,598 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:03:01,666 - pyskl - INFO - +top1_acc 0.4295 +top5_acc 0.6528 +2025-06-03 04:03:01,666 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:03:01,674 - pyskl - INFO - +mean_acc 0.4291 +2025-06-03 04:03:01,676 - pyskl - INFO - Epoch(val) [186][198] top1_acc: 0.4295, top5_acc: 0.6528, mean_class_accuracy: 0.4291 +2025-06-03 04:04:11,429 - pyskl - INFO - Epoch [187][100/523] lr: 1.575e-02, eta: 7:46:06, time: 0.697, data_time: 0.256, memory: 7964, top1_acc: 0.9122, top5_acc: 0.9928, loss_cls: 3.6833, loss: 3.6833 +2025-06-03 04:04:56,321 - pyskl - INFO - Epoch [187][200/523] lr: 1.570e-02, eta: 7:45:18, time: 0.449, data_time: 0.000, memory: 7964, top1_acc: 0.9106, top5_acc: 0.9947, loss_cls: 3.7107, loss: 3.7107 +2025-06-03 04:05:40,981 - pyskl - INFO - Epoch [187][300/523] lr: 1.566e-02, eta: 7:44:30, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9003, top5_acc: 0.9928, loss_cls: 3.7154, loss: 3.7154 +2025-06-03 04:06:25,526 - pyskl - INFO - Epoch [187][400/523] lr: 1.561e-02, eta: 7:43:41, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.8959, top5_acc: 0.9919, loss_cls: 3.6438, loss: 3.6438 +2025-06-03 04:07:09,937 - pyskl - INFO - Epoch [187][500/523] lr: 1.557e-02, eta: 7:42:53, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8859, top5_acc: 0.9900, loss_cls: 3.6735, loss: 3.6735 +2025-06-03 04:07:20,697 - pyskl - INFO - Saving checkpoint at 187 epochs +2025-06-03 04:07:48,972 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:07:49,039 - pyskl - INFO - +top1_acc 0.4352 +top5_acc 0.6572 +2025-06-03 04:07:49,040 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:07:49,047 - pyskl - INFO - +mean_acc 0.4354 +2025-06-03 04:07:49,048 - pyskl - INFO - Epoch(val) [187][198] top1_acc: 0.4352, top5_acc: 0.6572, mean_class_accuracy: 0.4354 +2025-06-03 04:08:59,360 - pyskl - INFO - Epoch [188][100/523] lr: 1.551e-02, eta: 7:42:03, time: 0.703, data_time: 0.259, memory: 7964, top1_acc: 0.9169, top5_acc: 0.9953, loss_cls: 3.6451, loss: 3.6451 +2025-06-03 04:09:43,205 - pyskl - INFO - Epoch [188][200/523] lr: 1.546e-02, eta: 7:41:14, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9178, top5_acc: 0.9956, loss_cls: 3.4895, loss: 3.4895 +2025-06-03 04:10:27,196 - pyskl - INFO - Epoch [188][300/523] lr: 1.542e-02, eta: 7:40:25, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8934, top5_acc: 0.9928, loss_cls: 3.7789, loss: 3.7789 +2025-06-03 04:11:11,769 - pyskl - INFO - Epoch [188][400/523] lr: 1.537e-02, eta: 7:39:36, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8809, top5_acc: 0.9900, loss_cls: 3.7404, loss: 3.7404 +2025-06-03 04:11:55,752 - pyskl - INFO - Epoch [188][500/523] lr: 1.532e-02, eta: 7:38:48, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.8934, top5_acc: 0.9888, loss_cls: 3.7604, loss: 3.7604 +2025-06-03 04:12:06,620 - pyskl - INFO - Saving checkpoint at 188 epochs +2025-06-03 04:12:34,738 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:12:34,810 - pyskl - INFO - +top1_acc 0.4305 +top5_acc 0.6493 +2025-06-03 04:12:34,810 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:12:34,818 - pyskl - INFO - +mean_acc 0.4316 +2025-06-03 04:12:34,820 - pyskl - INFO - Epoch(val) [188][198] top1_acc: 0.4305, top5_acc: 0.6493, mean_class_accuracy: 0.4316 +2025-06-03 04:13:44,095 - pyskl - INFO - Epoch [189][100/523] lr: 1.527e-02, eta: 7:37:57, time: 0.693, data_time: 0.256, memory: 7964, top1_acc: 0.9194, top5_acc: 0.9953, loss_cls: 3.6076, loss: 3.6076 +2025-06-03 04:14:28,315 - pyskl - INFO - Epoch [189][200/523] lr: 1.522e-02, eta: 7:37:08, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9153, top5_acc: 0.9962, loss_cls: 3.5459, loss: 3.5459 +2025-06-03 04:15:12,871 - pyskl - INFO - Epoch [189][300/523] lr: 1.517e-02, eta: 7:36:20, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.8962, top5_acc: 0.9925, loss_cls: 3.7098, loss: 3.7098 +2025-06-03 04:15:57,146 - pyskl - INFO - Epoch [189][400/523] lr: 1.513e-02, eta: 7:35:31, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.8888, top5_acc: 0.9931, loss_cls: 3.7970, loss: 3.7970 +2025-06-03 04:16:41,547 - pyskl - INFO - Epoch [189][500/523] lr: 1.508e-02, eta: 7:34:43, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9000, top5_acc: 0.9897, loss_cls: 3.6851, loss: 3.6851 +2025-06-03 04:16:52,549 - pyskl - INFO - Saving checkpoint at 189 epochs +2025-06-03 04:17:21,287 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:17:21,365 - pyskl - INFO - +top1_acc 0.4325 +top5_acc 0.6396 +2025-06-03 04:17:21,365 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:17:21,375 - pyskl - INFO - +mean_acc 0.4334 +2025-06-03 04:17:21,377 - pyskl - INFO - Epoch(val) [189][198] top1_acc: 0.4325, top5_acc: 0.6396, mean_class_accuracy: 0.4334 +2025-06-03 04:18:31,436 - pyskl - INFO - Epoch [190][100/523] lr: 1.503e-02, eta: 7:33:52, time: 0.701, data_time: 0.258, memory: 7964, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 3.5215, loss: 3.5215 +2025-06-03 04:19:16,173 - pyskl - INFO - Epoch [190][200/523] lr: 1.498e-02, eta: 7:33:04, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9150, top5_acc: 0.9947, loss_cls: 3.5895, loss: 3.5895 +2025-06-03 04:20:00,677 - pyskl - INFO - Epoch [190][300/523] lr: 1.493e-02, eta: 7:32:15, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9072, top5_acc: 0.9941, loss_cls: 3.6461, loss: 3.6461 +2025-06-03 04:20:44,873 - pyskl - INFO - Epoch [190][400/523] lr: 1.489e-02, eta: 7:31:27, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.8991, top5_acc: 0.9944, loss_cls: 3.6416, loss: 3.6416 +2025-06-03 04:21:29,014 - pyskl - INFO - Epoch [190][500/523] lr: 1.484e-02, eta: 7:30:38, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.8944, top5_acc: 0.9941, loss_cls: 3.7530, loss: 3.7530 +2025-06-03 04:21:39,818 - pyskl - INFO - Saving checkpoint at 190 epochs +2025-06-03 04:22:08,124 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:22:08,196 - pyskl - INFO - +top1_acc 0.4241 +top5_acc 0.6379 +2025-06-03 04:22:08,196 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:22:08,206 - pyskl - INFO - +mean_acc 0.4240 +2025-06-03 04:22:08,208 - pyskl - INFO - Epoch(val) [190][198] top1_acc: 0.4241, top5_acc: 0.6379, mean_class_accuracy: 0.4240 +2025-06-03 04:23:17,001 - pyskl - INFO - Epoch [191][100/523] lr: 1.479e-02, eta: 7:29:47, time: 0.688, data_time: 0.259, memory: 7964, top1_acc: 0.9228, top5_acc: 0.9953, loss_cls: 3.6688, loss: 3.6688 +2025-06-03 04:24:00,396 - pyskl - INFO - Epoch [191][200/523] lr: 1.474e-02, eta: 7:28:57, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9062, top5_acc: 0.9959, loss_cls: 3.6278, loss: 3.6278 +2025-06-03 04:24:44,836 - pyskl - INFO - Epoch [191][300/523] lr: 1.470e-02, eta: 7:28:09, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8978, top5_acc: 0.9956, loss_cls: 3.6152, loss: 3.6152 +2025-06-03 04:25:29,203 - pyskl - INFO - Epoch [191][400/523] lr: 1.465e-02, eta: 7:27:21, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8953, top5_acc: 0.9925, loss_cls: 3.7684, loss: 3.7684 +2025-06-03 04:26:13,629 - pyskl - INFO - Epoch [191][500/523] lr: 1.460e-02, eta: 7:26:32, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.8928, top5_acc: 0.9938, loss_cls: 3.7461, loss: 3.7461 +2025-06-03 04:26:24,587 - pyskl - INFO - Saving checkpoint at 191 epochs +2025-06-03 04:26:53,232 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:26:53,303 - pyskl - INFO - +top1_acc 0.4262 +top5_acc 0.6271 +2025-06-03 04:26:53,303 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:26:53,312 - pyskl - INFO - +mean_acc 0.4263 +2025-06-03 04:26:53,314 - pyskl - INFO - Epoch(val) [191][198] top1_acc: 0.4262, top5_acc: 0.6271, mean_class_accuracy: 0.4263 +2025-06-03 04:28:03,684 - pyskl - INFO - Epoch [192][100/523] lr: 1.455e-02, eta: 7:25:41, time: 0.704, data_time: 0.258, memory: 7964, top1_acc: 0.9163, top5_acc: 0.9978, loss_cls: 3.5117, loss: 3.5117 +2025-06-03 04:28:48,171 - pyskl - INFO - Epoch [192][200/523] lr: 1.450e-02, eta: 7:24:53, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9172, top5_acc: 0.9956, loss_cls: 3.5991, loss: 3.5991 +2025-06-03 04:29:32,814 - pyskl - INFO - Epoch [192][300/523] lr: 1.446e-02, eta: 7:24:05, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9131, top5_acc: 0.9972, loss_cls: 3.6280, loss: 3.6280 +2025-06-03 04:30:17,302 - pyskl - INFO - Epoch [192][400/523] lr: 1.441e-02, eta: 7:23:16, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9062, top5_acc: 0.9922, loss_cls: 3.6376, loss: 3.6376 +2025-06-03 04:31:01,405 - pyskl - INFO - Epoch [192][500/523] lr: 1.437e-02, eta: 7:22:28, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9091, top5_acc: 0.9941, loss_cls: 3.6794, loss: 3.6794 +2025-06-03 04:31:12,185 - pyskl - INFO - Saving checkpoint at 192 epochs +2025-06-03 04:31:41,130 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:31:41,200 - pyskl - INFO - +top1_acc 0.4262 +top5_acc 0.6206 +2025-06-03 04:31:41,201 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:31:41,209 - pyskl - INFO - +mean_acc 0.4252 +2025-06-03 04:31:41,211 - pyskl - INFO - Epoch(val) [192][198] top1_acc: 0.4262, top5_acc: 0.6206, mean_class_accuracy: 0.4252 +2025-06-03 04:32:52,251 - pyskl - INFO - Epoch [193][100/523] lr: 1.431e-02, eta: 7:21:37, time: 0.710, data_time: 0.265, memory: 7964, top1_acc: 0.9291, top5_acc: 0.9956, loss_cls: 3.5548, loss: 3.5548 +2025-06-03 04:33:35,321 - pyskl - INFO - Epoch [193][200/523] lr: 1.427e-02, eta: 7:20:48, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9137, top5_acc: 0.9959, loss_cls: 3.5900, loss: 3.5900 +2025-06-03 04:34:20,101 - pyskl - INFO - Epoch [193][300/523] lr: 1.422e-02, eta: 7:20:00, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.9047, top5_acc: 0.9928, loss_cls: 3.7075, loss: 3.7075 +2025-06-03 04:35:04,935 - pyskl - INFO - Epoch [193][400/523] lr: 1.418e-02, eta: 7:19:12, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.9022, top5_acc: 0.9959, loss_cls: 3.6761, loss: 3.6761 +2025-06-03 04:35:48,942 - pyskl - INFO - Epoch [193][500/523] lr: 1.413e-02, eta: 7:18:23, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9034, top5_acc: 0.9959, loss_cls: 3.5545, loss: 3.5545 +2025-06-03 04:35:59,720 - pyskl - INFO - Saving checkpoint at 193 epochs +2025-06-03 04:36:28,207 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:36:28,276 - pyskl - INFO - +top1_acc 0.4287 +top5_acc 0.6369 +2025-06-03 04:36:28,277 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:36:28,284 - pyskl - INFO - +mean_acc 0.4278 +2025-06-03 04:36:28,286 - pyskl - INFO - Epoch(val) [193][198] top1_acc: 0.4287, top5_acc: 0.6369, mean_class_accuracy: 0.4278 +2025-06-03 04:37:38,965 - pyskl - INFO - Epoch [194][100/523] lr: 1.407e-02, eta: 7:17:32, time: 0.707, data_time: 0.257, memory: 7964, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 3.5014, loss: 3.5014 +2025-06-03 04:38:23,681 - pyskl - INFO - Epoch [194][200/523] lr: 1.403e-02, eta: 7:16:44, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9309, top5_acc: 0.9962, loss_cls: 3.4983, loss: 3.4983 +2025-06-03 04:39:07,919 - pyskl - INFO - Epoch [194][300/523] lr: 1.398e-02, eta: 7:15:56, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9009, top5_acc: 0.9962, loss_cls: 3.6033, loss: 3.6033 +2025-06-03 04:39:51,419 - pyskl - INFO - Epoch [194][400/523] lr: 1.394e-02, eta: 7:15:07, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.8906, top5_acc: 0.9891, loss_cls: 3.7409, loss: 3.7409 +2025-06-03 04:40:34,536 - pyskl - INFO - Epoch [194][500/523] lr: 1.389e-02, eta: 7:14:18, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.8928, top5_acc: 0.9944, loss_cls: 3.6805, loss: 3.6805 +2025-06-03 04:40:45,259 - pyskl - INFO - Saving checkpoint at 194 epochs +2025-06-03 04:41:13,491 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:41:13,560 - pyskl - INFO - +top1_acc 0.4203 +top5_acc 0.6301 +2025-06-03 04:41:13,561 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:41:13,568 - pyskl - INFO - +mean_acc 0.4213 +2025-06-03 04:41:13,569 - pyskl - INFO - Epoch(val) [194][198] top1_acc: 0.4203, top5_acc: 0.6301, mean_class_accuracy: 0.4213 +2025-06-03 04:42:24,216 - pyskl - INFO - Epoch [195][100/523] lr: 1.384e-02, eta: 7:13:27, time: 0.706, data_time: 0.250, memory: 7964, top1_acc: 0.9197, top5_acc: 0.9944, loss_cls: 3.6006, loss: 3.6006 +2025-06-03 04:43:08,260 - pyskl - INFO - Epoch [195][200/523] lr: 1.379e-02, eta: 7:12:38, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9153, top5_acc: 0.9972, loss_cls: 3.5501, loss: 3.5501 +2025-06-03 04:43:52,096 - pyskl - INFO - Epoch [195][300/523] lr: 1.375e-02, eta: 7:11:50, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9266, top5_acc: 0.9984, loss_cls: 3.4821, loss: 3.4821 +2025-06-03 04:44:35,821 - pyskl - INFO - Epoch [195][400/523] lr: 1.371e-02, eta: 7:11:01, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9134, top5_acc: 0.9962, loss_cls: 3.5836, loss: 3.5836 +2025-06-03 04:45:19,584 - pyskl - INFO - Epoch [195][500/523] lr: 1.366e-02, eta: 7:10:12, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9078, top5_acc: 0.9928, loss_cls: 3.6464, loss: 3.6464 +2025-06-03 04:45:30,246 - pyskl - INFO - Saving checkpoint at 195 epochs +2025-06-03 04:45:58,600 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:45:58,671 - pyskl - INFO - +top1_acc 0.4206 +top5_acc 0.6279 +2025-06-03 04:45:58,671 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:45:58,678 - pyskl - INFO - +mean_acc 0.4219 +2025-06-03 04:45:58,680 - pyskl - INFO - Epoch(val) [195][198] top1_acc: 0.4206, top5_acc: 0.6279, mean_class_accuracy: 0.4219 +2025-06-03 04:47:08,744 - pyskl - INFO - Epoch [196][100/523] lr: 1.361e-02, eta: 7:09:21, time: 0.701, data_time: 0.253, memory: 7964, top1_acc: 0.9266, top5_acc: 0.9975, loss_cls: 3.4910, loss: 3.4910 +2025-06-03 04:47:53,203 - pyskl - INFO - Epoch [196][200/523] lr: 1.356e-02, eta: 7:08:33, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9325, top5_acc: 0.9969, loss_cls: 3.4960, loss: 3.4960 +2025-06-03 04:48:37,368 - pyskl - INFO - Epoch [196][300/523] lr: 1.352e-02, eta: 7:07:44, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9166, top5_acc: 0.9959, loss_cls: 3.6152, loss: 3.6152 +2025-06-03 04:49:22,052 - pyskl - INFO - Epoch [196][400/523] lr: 1.347e-02, eta: 7:06:56, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9153, top5_acc: 0.9956, loss_cls: 3.5753, loss: 3.5753 +2025-06-03 04:50:06,663 - pyskl - INFO - Epoch [196][500/523] lr: 1.343e-02, eta: 7:06:08, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9053, top5_acc: 0.9941, loss_cls: 3.6217, loss: 3.6217 +2025-06-03 04:50:17,270 - pyskl - INFO - Saving checkpoint at 196 epochs +2025-06-03 04:50:45,592 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:50:45,662 - pyskl - INFO - +top1_acc 0.4362 +top5_acc 0.6496 +2025-06-03 04:50:45,662 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:50:45,670 - pyskl - INFO - +mean_acc 0.4353 +2025-06-03 04:50:45,671 - pyskl - INFO - Epoch(val) [196][198] top1_acc: 0.4362, top5_acc: 0.6496, mean_class_accuracy: 0.4353 +2025-06-03 04:51:54,330 - pyskl - INFO - Epoch [197][100/523] lr: 1.337e-02, eta: 7:05:16, time: 0.687, data_time: 0.249, memory: 7964, top1_acc: 0.9353, top5_acc: 0.9981, loss_cls: 3.4650, loss: 3.4650 +2025-06-03 04:52:37,355 - pyskl - INFO - Epoch [197][200/523] lr: 1.333e-02, eta: 7:04:26, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9281, top5_acc: 0.9975, loss_cls: 3.4434, loss: 3.4434 +2025-06-03 04:53:20,861 - pyskl - INFO - Epoch [197][300/523] lr: 1.329e-02, eta: 7:03:38, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9113, top5_acc: 0.9944, loss_cls: 3.4740, loss: 3.4740 +2025-06-03 04:54:04,392 - pyskl - INFO - Epoch [197][400/523] lr: 1.324e-02, eta: 7:02:49, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9259, top5_acc: 0.9975, loss_cls: 3.6607, loss: 3.6607 +2025-06-03 04:54:47,976 - pyskl - INFO - Epoch [197][500/523] lr: 1.320e-02, eta: 7:02:00, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9184, top5_acc: 0.9959, loss_cls: 3.5500, loss: 3.5500 +2025-06-03 04:54:58,625 - pyskl - INFO - Saving checkpoint at 197 epochs +2025-06-03 04:55:27,008 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:55:27,080 - pyskl - INFO - +top1_acc 0.4352 +top5_acc 0.6474 +2025-06-03 04:55:27,080 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 04:55:27,090 - pyskl - INFO - +mean_acc 0.4346 +2025-06-03 04:55:27,092 - pyskl - INFO - Epoch(val) [197][198] top1_acc: 0.4352, top5_acc: 0.6474, mean_class_accuracy: 0.4346 +2025-06-03 04:56:36,433 - pyskl - INFO - Epoch [198][100/523] lr: 1.314e-02, eta: 7:01:08, time: 0.693, data_time: 0.258, memory: 7964, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 3.3492, loss: 3.3492 +2025-06-03 04:57:21,167 - pyskl - INFO - Epoch [198][200/523] lr: 1.310e-02, eta: 7:00:20, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9253, top5_acc: 0.9969, loss_cls: 3.5103, loss: 3.5103 +2025-06-03 04:58:05,799 - pyskl - INFO - Epoch [198][300/523] lr: 1.305e-02, eta: 6:59:32, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9197, top5_acc: 0.9919, loss_cls: 3.5069, loss: 3.5069 +2025-06-03 04:58:50,598 - pyskl - INFO - Epoch [198][400/523] lr: 1.301e-02, eta: 6:58:44, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.9241, top5_acc: 0.9975, loss_cls: 3.5757, loss: 3.5757 +2025-06-03 04:59:35,128 - pyskl - INFO - Epoch [198][500/523] lr: 1.297e-02, eta: 6:57:55, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9119, top5_acc: 0.9950, loss_cls: 3.5457, loss: 3.5457 +2025-06-03 04:59:46,050 - pyskl - INFO - Saving checkpoint at 198 epochs +2025-06-03 05:00:14,458 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:00:14,529 - pyskl - INFO - +top1_acc 0.4428 +top5_acc 0.6537 +2025-06-03 05:00:14,529 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:00:14,537 - pyskl - INFO - +mean_acc 0.4429 +2025-06-03 05:00:14,594 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_185.pth was removed +2025-06-03 05:00:16,300 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_198.pth. +2025-06-03 05:00:16,302 - pyskl - INFO - Best top1_acc is 0.4428 at 198 epoch. +2025-06-03 05:00:16,304 - pyskl - INFO - Epoch(val) [198][198] top1_acc: 0.4428, top5_acc: 0.6537, mean_class_accuracy: 0.4429 +2025-06-03 05:01:26,162 - pyskl - INFO - Epoch [199][100/523] lr: 1.291e-02, eta: 6:57:04, time: 0.698, data_time: 0.255, memory: 7964, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 3.3822, loss: 3.3822 +2025-06-03 05:02:10,485 - pyskl - INFO - Epoch [199][200/523] lr: 1.287e-02, eta: 6:56:16, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9409, top5_acc: 0.9988, loss_cls: 3.3932, loss: 3.3932 +2025-06-03 05:02:55,147 - pyskl - INFO - Epoch [199][300/523] lr: 1.283e-02, eta: 6:55:27, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9259, top5_acc: 0.9966, loss_cls: 3.4510, loss: 3.4510 +2025-06-03 05:03:39,688 - pyskl - INFO - Epoch [199][400/523] lr: 1.278e-02, eta: 6:54:39, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9150, top5_acc: 0.9941, loss_cls: 3.5106, loss: 3.5106 +2025-06-03 05:04:24,303 - pyskl - INFO - Epoch [199][500/523] lr: 1.274e-02, eta: 6:53:51, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9147, top5_acc: 0.9978, loss_cls: 3.5595, loss: 3.5595 +2025-06-03 05:04:35,258 - pyskl - INFO - Saving checkpoint at 199 epochs +2025-06-03 05:05:03,809 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:05:03,881 - pyskl - INFO - +top1_acc 0.4419 +top5_acc 0.6285 +2025-06-03 05:05:03,882 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:05:03,891 - pyskl - INFO - +mean_acc 0.4394 +2025-06-03 05:05:03,893 - pyskl - INFO - Epoch(val) [199][198] top1_acc: 0.4419, top5_acc: 0.6285, mean_class_accuracy: 0.4394 +2025-06-03 05:06:14,577 - pyskl - INFO - Epoch [200][100/523] lr: 1.268e-02, eta: 6:53:00, time: 0.707, data_time: 0.270, memory: 7964, top1_acc: 0.9391, top5_acc: 0.9984, loss_cls: 3.3704, loss: 3.3704 +2025-06-03 05:06:59,043 - pyskl - INFO - Epoch [200][200/523] lr: 1.264e-02, eta: 6:52:11, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9350, top5_acc: 0.9966, loss_cls: 3.4298, loss: 3.4298 +2025-06-03 05:07:43,670 - pyskl - INFO - Epoch [200][300/523] lr: 1.260e-02, eta: 6:51:23, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9225, top5_acc: 0.9956, loss_cls: 3.4652, loss: 3.4652 +2025-06-03 05:08:28,194 - pyskl - INFO - Epoch [200][400/523] lr: 1.255e-02, eta: 6:50:35, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9137, top5_acc: 0.9947, loss_cls: 3.6445, loss: 3.6445 +2025-06-03 05:09:12,613 - pyskl - INFO - Epoch [200][500/523] lr: 1.251e-02, eta: 6:49:47, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9241, top5_acc: 0.9941, loss_cls: 3.6382, loss: 3.6382 +2025-06-03 05:09:23,606 - pyskl - INFO - Saving checkpoint at 200 epochs +2025-06-03 05:09:52,045 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:09:52,114 - pyskl - INFO - +top1_acc 0.4348 +top5_acc 0.6479 +2025-06-03 05:09:52,114 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:09:52,121 - pyskl - INFO - +mean_acc 0.4341 +2025-06-03 05:09:52,122 - pyskl - INFO - Epoch(val) [200][198] top1_acc: 0.4348, top5_acc: 0.6479, mean_class_accuracy: 0.4341 +2025-06-03 05:11:01,101 - pyskl - INFO - Epoch [201][100/523] lr: 1.246e-02, eta: 6:48:54, time: 0.690, data_time: 0.260, memory: 7964, top1_acc: 0.9403, top5_acc: 0.9978, loss_cls: 3.3285, loss: 3.3285 +2025-06-03 05:11:45,687 - pyskl - INFO - Epoch [201][200/523] lr: 1.241e-02, eta: 6:48:06, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 3.4398, loss: 3.4398 +2025-06-03 05:12:30,379 - pyskl - INFO - Epoch [201][300/523] lr: 1.237e-02, eta: 6:47:18, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9331, top5_acc: 0.9972, loss_cls: 3.4603, loss: 3.4603 +2025-06-03 05:13:14,964 - pyskl - INFO - Epoch [201][400/523] lr: 1.233e-02, eta: 6:46:30, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9347, top5_acc: 0.9969, loss_cls: 3.4655, loss: 3.4655 +2025-06-03 05:13:59,429 - pyskl - INFO - Epoch [201][500/523] lr: 1.228e-02, eta: 6:45:42, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9200, top5_acc: 0.9956, loss_cls: 3.5398, loss: 3.5398 +2025-06-03 05:14:10,239 - pyskl - INFO - Saving checkpoint at 201 epochs +2025-06-03 05:14:38,727 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:14:38,799 - pyskl - INFO - +top1_acc 0.4273 +top5_acc 0.6372 +2025-06-03 05:14:38,799 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:14:38,809 - pyskl - INFO - +mean_acc 0.4267 +2025-06-03 05:14:38,811 - pyskl - INFO - Epoch(val) [201][198] top1_acc: 0.4273, top5_acc: 0.6372, mean_class_accuracy: 0.4267 +2025-06-03 05:15:48,147 - pyskl - INFO - Epoch [202][100/523] lr: 1.223e-02, eta: 6:44:49, time: 0.693, data_time: 0.263, memory: 7964, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 3.3764, loss: 3.3764 +2025-06-03 05:16:32,713 - pyskl - INFO - Epoch [202][200/523] lr: 1.219e-02, eta: 6:44:01, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9353, top5_acc: 0.9978, loss_cls: 3.4075, loss: 3.4075 +2025-06-03 05:17:17,259 - pyskl - INFO - Epoch [202][300/523] lr: 1.215e-02, eta: 6:43:13, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9294, top5_acc: 0.9966, loss_cls: 3.4817, loss: 3.4817 +2025-06-03 05:18:01,779 - pyskl - INFO - Epoch [202][400/523] lr: 1.210e-02, eta: 6:42:25, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9291, top5_acc: 0.9969, loss_cls: 3.4635, loss: 3.4635 +2025-06-03 05:18:46,339 - pyskl - INFO - Epoch [202][500/523] lr: 1.206e-02, eta: 6:41:37, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9266, top5_acc: 0.9959, loss_cls: 3.5019, loss: 3.5019 +2025-06-03 05:18:57,193 - pyskl - INFO - Saving checkpoint at 202 epochs +2025-06-03 05:19:25,790 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:19:25,862 - pyskl - INFO - +top1_acc 0.4425 +top5_acc 0.6436 +2025-06-03 05:19:25,862 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:19:25,871 - pyskl - INFO - +mean_acc 0.4445 +2025-06-03 05:19:25,873 - pyskl - INFO - Epoch(val) [202][198] top1_acc: 0.4425, top5_acc: 0.6436, mean_class_accuracy: 0.4445 +2025-06-03 05:20:37,202 - pyskl - INFO - Epoch [203][100/523] lr: 1.201e-02, eta: 6:40:45, time: 0.713, data_time: 0.268, memory: 7964, top1_acc: 0.9528, top5_acc: 0.9991, loss_cls: 3.4172, loss: 3.4172 +2025-06-03 05:21:21,502 - pyskl - INFO - Epoch [203][200/523] lr: 1.196e-02, eta: 6:39:57, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9387, top5_acc: 0.9978, loss_cls: 3.3321, loss: 3.3321 +2025-06-03 05:22:05,889 - pyskl - INFO - Epoch [203][300/523] lr: 1.192e-02, eta: 6:39:09, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 3.4178, loss: 3.4178 +2025-06-03 05:22:49,823 - pyskl - INFO - Epoch [203][400/523] lr: 1.188e-02, eta: 6:38:20, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9316, top5_acc: 0.9969, loss_cls: 3.4978, loss: 3.4978 +2025-06-03 05:23:33,952 - pyskl - INFO - Epoch [203][500/523] lr: 1.184e-02, eta: 6:37:32, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9231, top5_acc: 0.9975, loss_cls: 3.4503, loss: 3.4503 +2025-06-03 05:23:44,784 - pyskl - INFO - Saving checkpoint at 203 epochs +2025-06-03 05:24:13,341 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:24:13,413 - pyskl - INFO - +top1_acc 0.4401 +top5_acc 0.6452 +2025-06-03 05:24:13,413 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:24:13,422 - pyskl - INFO - +mean_acc 0.4405 +2025-06-03 05:24:13,425 - pyskl - INFO - Epoch(val) [203][198] top1_acc: 0.4401, top5_acc: 0.6452, mean_class_accuracy: 0.4405 +2025-06-03 05:25:22,148 - pyskl - INFO - Epoch [204][100/523] lr: 1.178e-02, eta: 6:36:39, time: 0.687, data_time: 0.259, memory: 7964, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 3.3572, loss: 3.3572 +2025-06-03 05:26:06,636 - pyskl - INFO - Epoch [204][200/523] lr: 1.174e-02, eta: 6:35:51, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9475, top5_acc: 0.9984, loss_cls: 3.4431, loss: 3.4431 +2025-06-03 05:26:50,941 - pyskl - INFO - Epoch [204][300/523] lr: 1.170e-02, eta: 6:35:03, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9331, top5_acc: 0.9972, loss_cls: 3.4575, loss: 3.4575 +2025-06-03 05:27:35,292 - pyskl - INFO - Epoch [204][400/523] lr: 1.166e-02, eta: 6:34:15, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9209, top5_acc: 0.9953, loss_cls: 3.5159, loss: 3.5159 +2025-06-03 05:28:19,656 - pyskl - INFO - Epoch [204][500/523] lr: 1.161e-02, eta: 6:33:26, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9322, top5_acc: 0.9978, loss_cls: 3.4059, loss: 3.4059 +2025-06-03 05:28:30,301 - pyskl - INFO - Saving checkpoint at 204 epochs +2025-06-03 05:28:59,120 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:28:59,192 - pyskl - INFO - +top1_acc 0.4373 +top5_acc 0.6485 +2025-06-03 05:28:59,193 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:28:59,202 - pyskl - INFO - +mean_acc 0.4370 +2025-06-03 05:28:59,204 - pyskl - INFO - Epoch(val) [204][198] top1_acc: 0.4373, top5_acc: 0.6485, mean_class_accuracy: 0.4370 +2025-06-03 05:30:09,427 - pyskl - INFO - Epoch [205][100/523] lr: 1.156e-02, eta: 6:32:34, time: 0.702, data_time: 0.258, memory: 7964, top1_acc: 0.9516, top5_acc: 0.9981, loss_cls: 3.3303, loss: 3.3303 +2025-06-03 05:30:53,960 - pyskl - INFO - Epoch [205][200/523] lr: 1.152e-02, eta: 6:31:46, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9478, top5_acc: 0.9988, loss_cls: 3.2919, loss: 3.2919 +2025-06-03 05:31:38,432 - pyskl - INFO - Epoch [205][300/523] lr: 1.148e-02, eta: 6:30:58, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9363, top5_acc: 0.9984, loss_cls: 3.3691, loss: 3.3691 +2025-06-03 05:32:22,888 - pyskl - INFO - Epoch [205][400/523] lr: 1.144e-02, eta: 6:30:10, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9334, top5_acc: 0.9972, loss_cls: 3.4160, loss: 3.4160 +2025-06-03 05:33:06,911 - pyskl - INFO - Epoch [205][500/523] lr: 1.139e-02, eta: 6:29:22, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9337, top5_acc: 0.9972, loss_cls: 3.4535, loss: 3.4535 +2025-06-03 05:33:17,431 - pyskl - INFO - Saving checkpoint at 205 epochs +2025-06-03 05:33:46,297 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:33:46,393 - pyskl - INFO - +top1_acc 0.4262 +top5_acc 0.6429 +2025-06-03 05:33:46,393 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:33:46,407 - pyskl - INFO - +mean_acc 0.4279 +2025-06-03 05:33:46,410 - pyskl - INFO - Epoch(val) [205][198] top1_acc: 0.4262, top5_acc: 0.6429, mean_class_accuracy: 0.4279 +2025-06-03 05:34:58,434 - pyskl - INFO - Epoch [206][100/523] lr: 1.134e-02, eta: 6:28:30, time: 0.720, data_time: 0.277, memory: 7964, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 3.3046, loss: 3.3046 +2025-06-03 05:35:42,689 - pyskl - INFO - Epoch [206][200/523] lr: 1.130e-02, eta: 6:27:42, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9487, top5_acc: 0.9997, loss_cls: 3.3178, loss: 3.3178 +2025-06-03 05:36:26,767 - pyskl - INFO - Epoch [206][300/523] lr: 1.126e-02, eta: 6:26:54, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9459, top5_acc: 0.9988, loss_cls: 3.4028, loss: 3.4028 +2025-06-03 05:37:10,970 - pyskl - INFO - Epoch [206][400/523] lr: 1.122e-02, eta: 6:26:05, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9369, top5_acc: 0.9978, loss_cls: 3.4026, loss: 3.4026 +2025-06-03 05:37:55,271 - pyskl - INFO - Epoch [206][500/523] lr: 1.118e-02, eta: 6:25:17, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9366, top5_acc: 0.9972, loss_cls: 3.4073, loss: 3.4073 +2025-06-03 05:38:06,110 - pyskl - INFO - Saving checkpoint at 206 epochs +2025-06-03 05:38:34,535 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:38:34,608 - pyskl - INFO - +top1_acc 0.4413 +top5_acc 0.6442 +2025-06-03 05:38:34,608 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:38:34,616 - pyskl - INFO - +mean_acc 0.4436 +2025-06-03 05:38:34,618 - pyskl - INFO - Epoch(val) [206][198] top1_acc: 0.4413, top5_acc: 0.6442, mean_class_accuracy: 0.4436 +2025-06-03 05:39:44,853 - pyskl - INFO - Epoch [207][100/523] lr: 1.112e-02, eta: 6:24:25, time: 0.702, data_time: 0.259, memory: 7964, top1_acc: 0.9463, top5_acc: 0.9984, loss_cls: 3.3875, loss: 3.3875 +2025-06-03 05:40:29,502 - pyskl - INFO - Epoch [207][200/523] lr: 1.108e-02, eta: 6:23:37, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9541, top5_acc: 0.9994, loss_cls: 3.3638, loss: 3.3638 +2025-06-03 05:41:13,455 - pyskl - INFO - Epoch [207][300/523] lr: 1.104e-02, eta: 6:22:48, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9391, top5_acc: 0.9972, loss_cls: 3.3603, loss: 3.3603 +2025-06-03 05:41:57,153 - pyskl - INFO - Epoch [207][400/523] lr: 1.100e-02, eta: 6:22:00, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9403, top5_acc: 0.9975, loss_cls: 3.3271, loss: 3.3271 +2025-06-03 05:42:40,279 - pyskl - INFO - Epoch [207][500/523] lr: 1.096e-02, eta: 6:21:11, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9309, top5_acc: 0.9981, loss_cls: 3.4099, loss: 3.4099 +2025-06-03 05:42:50,961 - pyskl - INFO - Saving checkpoint at 207 epochs +2025-06-03 05:43:19,503 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:43:19,570 - pyskl - INFO - +top1_acc 0.4430 +top5_acc 0.6485 +2025-06-03 05:43:19,570 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:43:19,577 - pyskl - INFO - +mean_acc 0.4433 +2025-06-03 05:43:19,633 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_198.pth was removed +2025-06-03 05:43:21,269 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_207.pth. +2025-06-03 05:43:21,271 - pyskl - INFO - Best top1_acc is 0.4430 at 207 epoch. +2025-06-03 05:43:21,273 - pyskl - INFO - Epoch(val) [207][198] top1_acc: 0.4430, top5_acc: 0.6485, mean_class_accuracy: 0.4433 +2025-06-03 05:44:31,700 - pyskl - INFO - Epoch [208][100/523] lr: 1.091e-02, eta: 6:20:19, time: 0.704, data_time: 0.262, memory: 7964, top1_acc: 0.9513, top5_acc: 0.9991, loss_cls: 3.2801, loss: 3.2801 +2025-06-03 05:45:15,762 - pyskl - INFO - Epoch [208][200/523] lr: 1.087e-02, eta: 6:19:31, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9541, top5_acc: 1.0000, loss_cls: 3.2438, loss: 3.2438 +2025-06-03 05:46:00,353 - pyskl - INFO - Epoch [208][300/523] lr: 1.082e-02, eta: 6:18:43, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 3.2267, loss: 3.2267 +2025-06-03 05:46:43,641 - pyskl - INFO - Epoch [208][400/523] lr: 1.078e-02, eta: 6:17:54, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 3.3290, loss: 3.3290 +2025-06-03 05:47:27,590 - pyskl - INFO - Epoch [208][500/523] lr: 1.074e-02, eta: 6:17:06, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 3.4116, loss: 3.4116 +2025-06-03 05:47:38,098 - pyskl - INFO - Saving checkpoint at 208 epochs +2025-06-03 05:48:06,930 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:48:07,001 - pyskl - INFO - +top1_acc 0.4300 +top5_acc 0.6379 +2025-06-03 05:48:07,001 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:48:07,010 - pyskl - INFO - +mean_acc 0.4313 +2025-06-03 05:48:07,013 - pyskl - INFO - Epoch(val) [208][198] top1_acc: 0.4300, top5_acc: 0.6379, mean_class_accuracy: 0.4313 +2025-06-03 05:49:17,670 - pyskl - INFO - Epoch [209][100/523] lr: 1.069e-02, eta: 6:16:13, time: 0.707, data_time: 0.256, memory: 7964, top1_acc: 0.9556, top5_acc: 0.9978, loss_cls: 3.2725, loss: 3.2725 +2025-06-03 05:50:02,480 - pyskl - INFO - Epoch [209][200/523] lr: 1.065e-02, eta: 6:15:25, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.9541, top5_acc: 0.9981, loss_cls: 3.3303, loss: 3.3303 +2025-06-03 05:50:47,143 - pyskl - INFO - Epoch [209][300/523] lr: 1.061e-02, eta: 6:14:37, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9437, top5_acc: 0.9991, loss_cls: 3.2978, loss: 3.2978 +2025-06-03 05:51:32,010 - pyskl - INFO - Epoch [209][400/523] lr: 1.057e-02, eta: 6:13:49, time: 0.449, data_time: 0.000, memory: 7964, top1_acc: 0.9425, top5_acc: 0.9978, loss_cls: 3.4243, loss: 3.4243 +2025-06-03 05:52:15,215 - pyskl - INFO - Epoch [209][500/523] lr: 1.053e-02, eta: 6:13:01, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9422, top5_acc: 0.9975, loss_cls: 3.3406, loss: 3.3406 +2025-06-03 05:52:25,658 - pyskl - INFO - Saving checkpoint at 209 epochs +2025-06-03 05:52:54,425 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:52:54,497 - pyskl - INFO - +top1_acc 0.4371 +top5_acc 0.6505 +2025-06-03 05:52:54,498 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:52:54,506 - pyskl - INFO - +mean_acc 0.4374 +2025-06-03 05:52:54,509 - pyskl - INFO - Epoch(val) [209][198] top1_acc: 0.4371, top5_acc: 0.6505, mean_class_accuracy: 0.4374 +2025-06-03 05:54:02,840 - pyskl - INFO - Epoch [210][100/523] lr: 1.048e-02, eta: 6:12:08, time: 0.683, data_time: 0.251, memory: 7964, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 3.2512, loss: 3.2512 +2025-06-03 05:54:46,962 - pyskl - INFO - Epoch [210][200/523] lr: 1.044e-02, eta: 6:11:19, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9497, top5_acc: 0.9984, loss_cls: 3.1927, loss: 3.1927 +2025-06-03 05:55:30,956 - pyskl - INFO - Epoch [210][300/523] lr: 1.040e-02, eta: 6:10:31, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9559, top5_acc: 0.9988, loss_cls: 3.2104, loss: 3.2104 +2025-06-03 05:56:15,404 - pyskl - INFO - Epoch [210][400/523] lr: 1.036e-02, eta: 6:09:43, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 3.3162, loss: 3.3162 +2025-06-03 05:56:58,720 - pyskl - INFO - Epoch [210][500/523] lr: 1.032e-02, eta: 6:08:54, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9425, top5_acc: 0.9984, loss_cls: 3.2101, loss: 3.2101 +2025-06-03 05:57:09,261 - pyskl - INFO - Saving checkpoint at 210 epochs +2025-06-03 05:57:38,032 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:57:38,105 - pyskl - INFO - +top1_acc 0.4368 +top5_acc 0.6428 +2025-06-03 05:57:38,105 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 05:57:38,115 - pyskl - INFO - +mean_acc 0.4364 +2025-06-03 05:57:38,117 - pyskl - INFO - Epoch(val) [210][198] top1_acc: 0.4368, top5_acc: 0.6428, mean_class_accuracy: 0.4364 +2025-06-03 05:58:48,529 - pyskl - INFO - Epoch [211][100/523] lr: 1.027e-02, eta: 6:08:02, time: 0.704, data_time: 0.261, memory: 7964, top1_acc: 0.9534, top5_acc: 0.9988, loss_cls: 3.2278, loss: 3.2278 +2025-06-03 05:59:32,965 - pyskl - INFO - Epoch [211][200/523] lr: 1.022e-02, eta: 6:07:14, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9491, top5_acc: 0.9984, loss_cls: 3.2830, loss: 3.2830 +2025-06-03 06:00:16,792 - pyskl - INFO - Epoch [211][300/523] lr: 1.018e-02, eta: 6:06:25, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9513, top5_acc: 0.9978, loss_cls: 3.3173, loss: 3.3173 +2025-06-03 06:01:01,388 - pyskl - INFO - Epoch [211][400/523] lr: 1.014e-02, eta: 6:05:37, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 3.3437, loss: 3.3437 +2025-06-03 06:01:44,203 - pyskl - INFO - Epoch [211][500/523] lr: 1.010e-02, eta: 6:04:49, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9384, top5_acc: 0.9981, loss_cls: 3.3022, loss: 3.3022 +2025-06-03 06:01:54,861 - pyskl - INFO - Saving checkpoint at 211 epochs +2025-06-03 06:02:23,754 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:02:23,830 - pyskl - INFO - +top1_acc 0.4295 +top5_acc 0.6358 +2025-06-03 06:02:23,830 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:02:23,838 - pyskl - INFO - +mean_acc 0.4306 +2025-06-03 06:02:23,839 - pyskl - INFO - Epoch(val) [211][198] top1_acc: 0.4295, top5_acc: 0.6358, mean_class_accuracy: 0.4306 +2025-06-03 06:03:35,087 - pyskl - INFO - Epoch [212][100/523] lr: 1.005e-02, eta: 6:03:56, time: 0.712, data_time: 0.268, memory: 7964, top1_acc: 0.9569, top5_acc: 0.9991, loss_cls: 3.2726, loss: 3.2726 +2025-06-03 06:04:19,782 - pyskl - INFO - Epoch [212][200/523] lr: 1.001e-02, eta: 6:03:08, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9516, top5_acc: 0.9991, loss_cls: 3.2175, loss: 3.2175 +2025-06-03 06:05:04,414 - pyskl - INFO - Epoch [212][300/523] lr: 9.974e-03, eta: 6:02:20, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9559, top5_acc: 0.9994, loss_cls: 3.2517, loss: 3.2517 +2025-06-03 06:05:49,055 - pyskl - INFO - Epoch [212][400/523] lr: 9.935e-03, eta: 6:01:32, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 3.2631, loss: 3.2631 +2025-06-03 06:06:32,546 - pyskl - INFO - Epoch [212][500/523] lr: 9.895e-03, eta: 6:00:44, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 3.2669, loss: 3.2669 +2025-06-03 06:06:43,042 - pyskl - INFO - Saving checkpoint at 212 epochs +2025-06-03 06:07:11,887 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:07:11,956 - pyskl - INFO - +top1_acc 0.4376 +top5_acc 0.6493 +2025-06-03 06:07:11,956 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:07:11,964 - pyskl - INFO - +mean_acc 0.4384 +2025-06-03 06:07:11,966 - pyskl - INFO - Epoch(val) [212][198] top1_acc: 0.4376, top5_acc: 0.6493, mean_class_accuracy: 0.4384 +2025-06-03 06:08:22,483 - pyskl - INFO - Epoch [213][100/523] lr: 9.846e-03, eta: 5:59:51, time: 0.705, data_time: 0.260, memory: 7964, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 3.1906, loss: 3.1906 +2025-06-03 06:09:07,020 - pyskl - INFO - Epoch [213][200/523] lr: 9.806e-03, eta: 5:59:03, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9559, top5_acc: 0.9997, loss_cls: 3.2000, loss: 3.2000 +2025-06-03 06:09:51,468 - pyskl - INFO - Epoch [213][300/523] lr: 9.766e-03, eta: 5:58:15, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9581, top5_acc: 0.9997, loss_cls: 3.2828, loss: 3.2828 +2025-06-03 06:10:35,395 - pyskl - INFO - Epoch [213][400/523] lr: 9.726e-03, eta: 5:57:27, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 3.2401, loss: 3.2401 +2025-06-03 06:11:18,600 - pyskl - INFO - Epoch [213][500/523] lr: 9.687e-03, eta: 5:56:38, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 3.2252, loss: 3.2252 +2025-06-03 06:11:29,064 - pyskl - INFO - Saving checkpoint at 213 epochs +2025-06-03 06:11:57,518 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:11:57,590 - pyskl - INFO - +top1_acc 0.4408 +top5_acc 0.6469 +2025-06-03 06:11:57,591 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:11:57,599 - pyskl - INFO - +mean_acc 0.4408 +2025-06-03 06:11:57,605 - pyskl - INFO - Epoch(val) [213][198] top1_acc: 0.4408, top5_acc: 0.6469, mean_class_accuracy: 0.4408 +2025-06-03 06:13:08,065 - pyskl - INFO - Epoch [214][100/523] lr: 9.638e-03, eta: 5:55:46, time: 0.705, data_time: 0.259, memory: 7964, top1_acc: 0.9734, top5_acc: 0.9997, loss_cls: 3.0748, loss: 3.0748 +2025-06-03 06:13:52,846 - pyskl - INFO - Epoch [214][200/523] lr: 9.599e-03, eta: 5:54:58, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.9581, top5_acc: 0.9991, loss_cls: 3.1784, loss: 3.1784 +2025-06-03 06:14:37,521 - pyskl - INFO - Epoch [214][300/523] lr: 9.559e-03, eta: 5:54:10, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9553, top5_acc: 0.9988, loss_cls: 3.1429, loss: 3.1429 +2025-06-03 06:15:21,552 - pyskl - INFO - Epoch [214][400/523] lr: 9.520e-03, eta: 5:53:22, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9500, top5_acc: 0.9991, loss_cls: 3.2845, loss: 3.2845 +2025-06-03 06:16:04,133 - pyskl - INFO - Epoch [214][500/523] lr: 9.481e-03, eta: 5:52:33, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9428, top5_acc: 0.9975, loss_cls: 3.3338, loss: 3.3338 +2025-06-03 06:16:14,665 - pyskl - INFO - Saving checkpoint at 214 epochs +2025-06-03 06:16:43,346 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:16:43,417 - pyskl - INFO - +top1_acc 0.4330 +top5_acc 0.6429 +2025-06-03 06:16:43,417 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:16:43,425 - pyskl - INFO - +mean_acc 0.4331 +2025-06-03 06:16:43,427 - pyskl - INFO - Epoch(val) [214][198] top1_acc: 0.4330, top5_acc: 0.6429, mean_class_accuracy: 0.4331 +2025-06-03 06:17:53,735 - pyskl - INFO - Epoch [215][100/523] lr: 9.432e-03, eta: 5:51:40, time: 0.703, data_time: 0.257, memory: 7964, top1_acc: 0.9581, top5_acc: 0.9991, loss_cls: 3.1442, loss: 3.1442 +2025-06-03 06:18:38,007 - pyskl - INFO - Epoch [215][200/523] lr: 9.393e-03, eta: 5:50:52, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9600, top5_acc: 0.9984, loss_cls: 3.1342, loss: 3.1342 +2025-06-03 06:19:21,987 - pyskl - INFO - Epoch [215][300/523] lr: 9.354e-03, eta: 5:50:04, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9703, top5_acc: 0.9991, loss_cls: 3.2059, loss: 3.2059 +2025-06-03 06:20:06,101 - pyskl - INFO - Epoch [215][400/523] lr: 9.315e-03, eta: 5:49:16, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9534, top5_acc: 0.9997, loss_cls: 3.1328, loss: 3.1328 +2025-06-03 06:20:49,344 - pyskl - INFO - Epoch [215][500/523] lr: 9.276e-03, eta: 5:48:27, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9553, top5_acc: 0.9984, loss_cls: 3.1868, loss: 3.1868 +2025-06-03 06:21:00,231 - pyskl - INFO - Saving checkpoint at 215 epochs +2025-06-03 06:21:28,664 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:21:28,742 - pyskl - INFO - +top1_acc 0.4531 +top5_acc 0.6569 +2025-06-03 06:21:28,742 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:21:28,749 - pyskl - INFO - +mean_acc 0.4527 +2025-06-03 06:21:28,807 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_207.pth was removed +2025-06-03 06:21:30,499 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_215.pth. +2025-06-03 06:21:30,501 - pyskl - INFO - Best top1_acc is 0.4531 at 215 epoch. +2025-06-03 06:21:30,503 - pyskl - INFO - Epoch(val) [215][198] top1_acc: 0.4531, top5_acc: 0.6569, mean_class_accuracy: 0.4527 +2025-06-03 06:22:39,315 - pyskl - INFO - Epoch [216][100/523] lr: 9.229e-03, eta: 5:47:34, time: 0.688, data_time: 0.249, memory: 7964, top1_acc: 0.9716, top5_acc: 0.9997, loss_cls: 3.1613, loss: 3.1613 +2025-06-03 06:23:23,580 - pyskl - INFO - Epoch [216][200/523] lr: 9.190e-03, eta: 5:46:45, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9663, top5_acc: 0.9997, loss_cls: 3.1487, loss: 3.1487 +2025-06-03 06:24:07,715 - pyskl - INFO - Epoch [216][300/523] lr: 9.151e-03, eta: 5:45:57, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9634, top5_acc: 1.0000, loss_cls: 3.1766, loss: 3.1766 +2025-06-03 06:24:51,431 - pyskl - INFO - Epoch [216][400/523] lr: 9.112e-03, eta: 5:45:09, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 3.2110, loss: 3.2110 +2025-06-03 06:25:34,938 - pyskl - INFO - Epoch [216][500/523] lr: 9.074e-03, eta: 5:44:21, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9522, top5_acc: 0.9978, loss_cls: 3.2297, loss: 3.2297 +2025-06-03 06:25:46,039 - pyskl - INFO - Saving checkpoint at 216 epochs +2025-06-03 06:26:14,118 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:26:14,187 - pyskl - INFO - +top1_acc 0.4476 +top5_acc 0.6521 +2025-06-03 06:26:14,187 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:26:14,194 - pyskl - INFO - +mean_acc 0.4475 +2025-06-03 06:26:14,196 - pyskl - INFO - Epoch(val) [216][198] top1_acc: 0.4476, top5_acc: 0.6521, mean_class_accuracy: 0.4475 +2025-06-03 06:27:24,047 - pyskl - INFO - Epoch [217][100/523] lr: 9.026e-03, eta: 5:43:28, time: 0.698, data_time: 0.259, memory: 7964, top1_acc: 0.9663, top5_acc: 0.9991, loss_cls: 3.1330, loss: 3.1330 +2025-06-03 06:28:08,274 - pyskl - INFO - Epoch [217][200/523] lr: 8.988e-03, eta: 5:42:39, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9672, top5_acc: 0.9997, loss_cls: 3.0890, loss: 3.0890 +2025-06-03 06:28:52,059 - pyskl - INFO - Epoch [217][300/523] lr: 8.949e-03, eta: 5:41:51, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 3.1299, loss: 3.1299 +2025-06-03 06:29:36,039 - pyskl - INFO - Epoch [217][400/523] lr: 8.911e-03, eta: 5:41:03, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9547, top5_acc: 0.9981, loss_cls: 3.1691, loss: 3.1691 +2025-06-03 06:30:18,625 - pyskl - INFO - Epoch [217][500/523] lr: 8.873e-03, eta: 5:40:14, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9556, top5_acc: 0.9991, loss_cls: 3.1926, loss: 3.1926 +2025-06-03 06:30:29,081 - pyskl - INFO - Saving checkpoint at 217 epochs +2025-06-03 06:30:57,326 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:30:57,396 - pyskl - INFO - +top1_acc 0.4538 +top5_acc 0.6526 +2025-06-03 06:30:57,396 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:30:57,403 - pyskl - INFO - +mean_acc 0.4535 +2025-06-03 06:30:57,465 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_215.pth was removed +2025-06-03 06:30:59,057 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_217.pth. +2025-06-03 06:30:59,059 - pyskl - INFO - Best top1_acc is 0.4538 at 217 epoch. +2025-06-03 06:30:59,062 - pyskl - INFO - Epoch(val) [217][198] top1_acc: 0.4538, top5_acc: 0.6526, mean_class_accuracy: 0.4535 +2025-06-03 06:32:08,413 - pyskl - INFO - Epoch [218][100/523] lr: 8.826e-03, eta: 5:39:21, time: 0.693, data_time: 0.247, memory: 7964, top1_acc: 0.9728, top5_acc: 0.9997, loss_cls: 3.0543, loss: 3.0543 +2025-06-03 06:32:52,828 - pyskl - INFO - Epoch [218][200/523] lr: 8.788e-03, eta: 5:38:33, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9678, top5_acc: 0.9988, loss_cls: 3.0806, loss: 3.0806 +2025-06-03 06:33:37,185 - pyskl - INFO - Epoch [218][300/523] lr: 8.750e-03, eta: 5:37:45, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9566, top5_acc: 0.9984, loss_cls: 3.1998, loss: 3.1998 +2025-06-03 06:34:20,711 - pyskl - INFO - Epoch [218][400/523] lr: 8.712e-03, eta: 5:36:57, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9625, top5_acc: 0.9997, loss_cls: 3.1737, loss: 3.1737 +2025-06-03 06:35:03,625 - pyskl - INFO - Epoch [218][500/523] lr: 8.674e-03, eta: 5:36:08, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 3.2631, loss: 3.2631 +2025-06-03 06:35:14,324 - pyskl - INFO - Saving checkpoint at 218 epochs +2025-06-03 06:35:42,665 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:35:42,737 - pyskl - INFO - +top1_acc 0.4449 +top5_acc 0.6467 +2025-06-03 06:35:42,737 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:35:42,745 - pyskl - INFO - +mean_acc 0.4456 +2025-06-03 06:35:42,747 - pyskl - INFO - Epoch(val) [218][198] top1_acc: 0.4449, top5_acc: 0.6467, mean_class_accuracy: 0.4456 +2025-06-03 06:36:52,760 - pyskl - INFO - Epoch [219][100/523] lr: 8.627e-03, eta: 5:35:15, time: 0.700, data_time: 0.254, memory: 7964, top1_acc: 0.9709, top5_acc: 0.9997, loss_cls: 3.0403, loss: 3.0403 +2025-06-03 06:37:37,109 - pyskl - INFO - Epoch [219][200/523] lr: 8.589e-03, eta: 5:34:27, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9694, top5_acc: 0.9991, loss_cls: 3.1315, loss: 3.1315 +2025-06-03 06:38:21,251 - pyskl - INFO - Epoch [219][300/523] lr: 8.551e-03, eta: 5:33:39, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9616, top5_acc: 0.9988, loss_cls: 3.1367, loss: 3.1367 +2025-06-03 06:39:05,041 - pyskl - INFO - Epoch [219][400/523] lr: 8.514e-03, eta: 5:32:50, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9666, top5_acc: 0.9991, loss_cls: 3.1019, loss: 3.1019 +2025-06-03 06:39:48,350 - pyskl - INFO - Epoch [219][500/523] lr: 8.476e-03, eta: 5:32:02, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9597, top5_acc: 0.9984, loss_cls: 3.1646, loss: 3.1646 +2025-06-03 06:39:59,226 - pyskl - INFO - Saving checkpoint at 219 epochs +2025-06-03 06:40:27,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:40:27,516 - pyskl - INFO - +top1_acc 0.4392 +top5_acc 0.6399 +2025-06-03 06:40:27,517 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:40:27,524 - pyskl - INFO - +mean_acc 0.4387 +2025-06-03 06:40:27,525 - pyskl - INFO - Epoch(val) [219][198] top1_acc: 0.4392, top5_acc: 0.6399, mean_class_accuracy: 0.4387 +2025-06-03 06:41:37,555 - pyskl - INFO - Epoch [220][100/523] lr: 8.430e-03, eta: 5:31:09, time: 0.700, data_time: 0.255, memory: 7964, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 3.0494, loss: 3.0494 +2025-06-03 06:42:22,320 - pyskl - INFO - Epoch [220][200/523] lr: 8.393e-03, eta: 5:30:21, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.9744, top5_acc: 0.9991, loss_cls: 2.9336, loss: 2.9336 +2025-06-03 06:43:06,607 - pyskl - INFO - Epoch [220][300/523] lr: 8.355e-03, eta: 5:29:33, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9703, top5_acc: 1.0000, loss_cls: 3.1439, loss: 3.1439 +2025-06-03 06:43:50,046 - pyskl - INFO - Epoch [220][400/523] lr: 8.318e-03, eta: 5:28:45, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 3.0881, loss: 3.0881 +2025-06-03 06:44:33,073 - pyskl - INFO - Epoch [220][500/523] lr: 8.281e-03, eta: 5:27:56, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9591, top5_acc: 0.9991, loss_cls: 3.1769, loss: 3.1769 +2025-06-03 06:44:43,454 - pyskl - INFO - Saving checkpoint at 220 epochs +2025-06-03 06:45:11,754 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:45:11,823 - pyskl - INFO - +top1_acc 0.4493 +top5_acc 0.6493 +2025-06-03 06:45:11,824 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:45:11,831 - pyskl - INFO - +mean_acc 0.4488 +2025-06-03 06:45:11,832 - pyskl - INFO - Epoch(val) [220][198] top1_acc: 0.4493, top5_acc: 0.6493, mean_class_accuracy: 0.4488 +2025-06-03 06:46:21,791 - pyskl - INFO - Epoch [221][100/523] lr: 8.235e-03, eta: 5:27:03, time: 0.700, data_time: 0.250, memory: 7964, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 3.1423, loss: 3.1423 +2025-06-03 06:47:05,467 - pyskl - INFO - Epoch [221][200/523] lr: 8.198e-03, eta: 5:26:14, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9697, top5_acc: 0.9994, loss_cls: 3.0351, loss: 3.0351 +2025-06-03 06:47:48,501 - pyskl - INFO - Epoch [221][300/523] lr: 8.161e-03, eta: 5:25:26, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9641, top5_acc: 0.9994, loss_cls: 3.0272, loss: 3.0272 +2025-06-03 06:48:31,443 - pyskl - INFO - Epoch [221][400/523] lr: 8.124e-03, eta: 5:24:38, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9672, top5_acc: 0.9991, loss_cls: 3.1558, loss: 3.1558 +2025-06-03 06:49:14,406 - pyskl - INFO - Epoch [221][500/523] lr: 8.087e-03, eta: 5:23:49, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9641, top5_acc: 0.9994, loss_cls: 3.0998, loss: 3.0998 +2025-06-03 06:49:25,225 - pyskl - INFO - Saving checkpoint at 221 epochs +2025-06-03 06:49:53,324 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:49:53,391 - pyskl - INFO - +top1_acc 0.4452 +top5_acc 0.6440 +2025-06-03 06:49:53,392 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:49:53,398 - pyskl - INFO - +mean_acc 0.4461 +2025-06-03 06:49:53,400 - pyskl - INFO - Epoch(val) [221][198] top1_acc: 0.4452, top5_acc: 0.6440, mean_class_accuracy: 0.4461 +2025-06-03 06:51:03,597 - pyskl - INFO - Epoch [222][100/523] lr: 8.042e-03, eta: 5:22:56, time: 0.702, data_time: 0.250, memory: 7964, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 3.0499, loss: 3.0499 +2025-06-03 06:51:48,666 - pyskl - INFO - Epoch [222][200/523] lr: 8.005e-03, eta: 5:22:08, time: 0.451, data_time: 0.000, memory: 7964, top1_acc: 0.9684, top5_acc: 1.0000, loss_cls: 3.0739, loss: 3.0739 +2025-06-03 06:52:33,350 - pyskl - INFO - Epoch [222][300/523] lr: 7.968e-03, eta: 5:21:20, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9691, top5_acc: 1.0000, loss_cls: 3.1136, loss: 3.1136 +2025-06-03 06:53:16,668 - pyskl - INFO - Epoch [222][400/523] lr: 7.932e-03, eta: 5:20:32, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9572, top5_acc: 0.9991, loss_cls: 3.0776, loss: 3.0776 +2025-06-03 06:53:59,882 - pyskl - INFO - Epoch [222][500/523] lr: 7.895e-03, eta: 5:19:44, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9659, top5_acc: 0.9994, loss_cls: 3.1392, loss: 3.1392 +2025-06-03 06:54:10,779 - pyskl - INFO - Saving checkpoint at 222 epochs +2025-06-03 06:54:39,008 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:54:39,076 - pyskl - INFO - +top1_acc 0.4487 +top5_acc 0.6542 +2025-06-03 06:54:39,077 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:54:39,084 - pyskl - INFO - +mean_acc 0.4489 +2025-06-03 06:54:39,085 - pyskl - INFO - Epoch(val) [222][198] top1_acc: 0.4487, top5_acc: 0.6542, mean_class_accuracy: 0.4489 +2025-06-03 06:55:49,767 - pyskl - INFO - Epoch [223][100/523] lr: 7.850e-03, eta: 5:18:50, time: 0.707, data_time: 0.257, memory: 7964, top1_acc: 0.9703, top5_acc: 1.0000, loss_cls: 2.9304, loss: 2.9304 +2025-06-03 06:56:33,103 - pyskl - INFO - Epoch [223][200/523] lr: 7.814e-03, eta: 5:18:02, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9738, top5_acc: 0.9997, loss_cls: 3.0501, loss: 3.0501 +2025-06-03 06:57:16,749 - pyskl - INFO - Epoch [223][300/523] lr: 7.778e-03, eta: 5:17:14, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9791, top5_acc: 0.9994, loss_cls: 2.9967, loss: 2.9967 +2025-06-03 06:57:59,613 - pyskl - INFO - Epoch [223][400/523] lr: 7.741e-03, eta: 5:16:25, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9666, top5_acc: 0.9991, loss_cls: 3.0653, loss: 3.0653 +2025-06-03 06:58:43,360 - pyskl - INFO - Epoch [223][500/523] lr: 7.705e-03, eta: 5:15:37, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9716, top5_acc: 0.9997, loss_cls: 3.0441, loss: 3.0441 +2025-06-03 06:58:54,091 - pyskl - INFO - Saving checkpoint at 223 epochs +2025-06-03 06:59:22,779 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:59:22,854 - pyskl - INFO - +top1_acc 0.4517 +top5_acc 0.6526 +2025-06-03 06:59:22,854 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 06:59:22,863 - pyskl - INFO - +mean_acc 0.4533 +2025-06-03 06:59:22,865 - pyskl - INFO - Epoch(val) [223][198] top1_acc: 0.4517, top5_acc: 0.6526, mean_class_accuracy: 0.4533 +2025-06-03 07:00:32,505 - pyskl - INFO - Epoch [224][100/523] lr: 7.661e-03, eta: 5:14:43, time: 0.696, data_time: 0.257, memory: 7964, top1_acc: 0.9800, top5_acc: 0.9991, loss_cls: 2.9168, loss: 2.9168 +2025-06-03 07:01:16,622 - pyskl - INFO - Epoch [224][200/523] lr: 7.625e-03, eta: 5:13:55, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9778, top5_acc: 1.0000, loss_cls: 2.9361, loss: 2.9361 +2025-06-03 07:02:01,014 - pyskl - INFO - Epoch [224][300/523] lr: 7.589e-03, eta: 5:13:08, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9712, top5_acc: 0.9991, loss_cls: 3.0331, loss: 3.0331 +2025-06-03 07:02:43,783 - pyskl - INFO - Epoch [224][400/523] lr: 7.553e-03, eta: 5:12:19, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 3.0415, loss: 3.0415 +2025-06-03 07:03:26,674 - pyskl - INFO - Epoch [224][500/523] lr: 7.517e-03, eta: 5:11:31, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9722, top5_acc: 0.9991, loss_cls: 3.0504, loss: 3.0504 +2025-06-03 07:03:37,642 - pyskl - INFO - Saving checkpoint at 224 epochs +2025-06-03 07:04:05,722 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:04:05,794 - pyskl - INFO - +top1_acc 0.4422 +top5_acc 0.6483 +2025-06-03 07:04:05,794 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:04:05,803 - pyskl - INFO - +mean_acc 0.4440 +2025-06-03 07:04:05,805 - pyskl - INFO - Epoch(val) [224][198] top1_acc: 0.4422, top5_acc: 0.6483, mean_class_accuracy: 0.4440 +2025-06-03 07:05:15,232 - pyskl - INFO - Epoch [225][100/523] lr: 7.473e-03, eta: 5:10:37, time: 0.694, data_time: 0.259, memory: 7964, top1_acc: 0.9759, top5_acc: 1.0000, loss_cls: 2.9790, loss: 2.9790 +2025-06-03 07:05:59,743 - pyskl - INFO - Epoch [225][200/523] lr: 7.437e-03, eta: 5:09:49, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9738, top5_acc: 0.9997, loss_cls: 2.9457, loss: 2.9457 +2025-06-03 07:06:44,401 - pyskl - INFO - Epoch [225][300/523] lr: 7.402e-03, eta: 5:09:01, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9738, top5_acc: 0.9997, loss_cls: 2.9486, loss: 2.9486 +2025-06-03 07:07:28,074 - pyskl - INFO - Epoch [225][400/523] lr: 7.366e-03, eta: 5:08:13, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 3.0261, loss: 3.0261 +2025-06-03 07:08:11,950 - pyskl - INFO - Epoch [225][500/523] lr: 7.331e-03, eta: 5:07:25, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9672, top5_acc: 1.0000, loss_cls: 3.0596, loss: 3.0596 +2025-06-03 07:08:22,802 - pyskl - INFO - Saving checkpoint at 225 epochs +2025-06-03 07:08:50,985 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:08:51,057 - pyskl - INFO - +top1_acc 0.4468 +top5_acc 0.6490 +2025-06-03 07:08:51,057 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:08:51,066 - pyskl - INFO - +mean_acc 0.4471 +2025-06-03 07:08:51,067 - pyskl - INFO - Epoch(val) [225][198] top1_acc: 0.4468, top5_acc: 0.6490, mean_class_accuracy: 0.4471 +2025-06-03 07:10:01,689 - pyskl - INFO - Epoch [226][100/523] lr: 7.287e-03, eta: 5:06:32, time: 0.706, data_time: 0.260, memory: 7964, top1_acc: 0.9803, top5_acc: 0.9994, loss_cls: 2.8905, loss: 2.8905 +2025-06-03 07:10:46,187 - pyskl - INFO - Epoch [226][200/523] lr: 7.252e-03, eta: 5:05:44, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9822, top5_acc: 1.0000, loss_cls: 2.9828, loss: 2.9828 +2025-06-03 07:11:30,342 - pyskl - INFO - Epoch [226][300/523] lr: 7.217e-03, eta: 5:04:56, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9716, top5_acc: 0.9997, loss_cls: 2.9059, loss: 2.9059 +2025-06-03 07:12:13,217 - pyskl - INFO - Epoch [226][400/523] lr: 7.182e-03, eta: 5:04:07, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9678, top5_acc: 0.9997, loss_cls: 3.0053, loss: 3.0053 +2025-06-03 07:12:57,422 - pyskl - INFO - Epoch [226][500/523] lr: 7.147e-03, eta: 5:03:19, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9709, top5_acc: 1.0000, loss_cls: 3.0571, loss: 3.0571 +2025-06-03 07:13:08,284 - pyskl - INFO - Saving checkpoint at 226 epochs +2025-06-03 07:13:36,844 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:13:36,915 - pyskl - INFO - +top1_acc 0.4519 +top5_acc 0.6550 +2025-06-03 07:13:36,915 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:13:36,923 - pyskl - INFO - +mean_acc 0.4503 +2025-06-03 07:13:36,925 - pyskl - INFO - Epoch(val) [226][198] top1_acc: 0.4519, top5_acc: 0.6550, mean_class_accuracy: 0.4503 +2025-06-03 07:14:46,961 - pyskl - INFO - Epoch [227][100/523] lr: 7.104e-03, eta: 5:02:26, time: 0.700, data_time: 0.262, memory: 7964, top1_acc: 0.9831, top5_acc: 0.9997, loss_cls: 2.9587, loss: 2.9587 +2025-06-03 07:15:31,383 - pyskl - INFO - Epoch [227][200/523] lr: 7.069e-03, eta: 5:01:38, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9809, top5_acc: 0.9997, loss_cls: 2.9240, loss: 2.9240 +2025-06-03 07:16:15,435 - pyskl - INFO - Epoch [227][300/523] lr: 7.034e-03, eta: 5:00:50, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 2.9086, loss: 2.9086 +2025-06-03 07:16:58,359 - pyskl - INFO - Epoch [227][400/523] lr: 6.999e-03, eta: 5:00:01, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9753, top5_acc: 1.0000, loss_cls: 2.9874, loss: 2.9874 +2025-06-03 07:17:42,392 - pyskl - INFO - Epoch [227][500/523] lr: 6.964e-03, eta: 4:59:14, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9769, top5_acc: 0.9997, loss_cls: 2.9596, loss: 2.9596 +2025-06-03 07:17:53,213 - pyskl - INFO - Saving checkpoint at 227 epochs +2025-06-03 07:18:21,411 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:18:21,479 - pyskl - INFO - +top1_acc 0.4508 +top5_acc 0.6507 +2025-06-03 07:18:21,480 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:18:21,487 - pyskl - INFO - +mean_acc 0.4506 +2025-06-03 07:18:21,488 - pyskl - INFO - Epoch(val) [227][198] top1_acc: 0.4508, top5_acc: 0.6507, mean_class_accuracy: 0.4506 +2025-06-03 07:19:31,348 - pyskl - INFO - Epoch [228][100/523] lr: 6.922e-03, eta: 4:58:20, time: 0.699, data_time: 0.258, memory: 7964, top1_acc: 0.9850, top5_acc: 0.9997, loss_cls: 2.9455, loss: 2.9455 +2025-06-03 07:20:15,520 - pyskl - INFO - Epoch [228][200/523] lr: 6.887e-03, eta: 4:57:32, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9859, top5_acc: 1.0000, loss_cls: 2.8735, loss: 2.8735 +2025-06-03 07:20:59,679 - pyskl - INFO - Epoch [228][300/523] lr: 6.853e-03, eta: 4:56:44, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9791, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 +2025-06-03 07:21:42,634 - pyskl - INFO - Epoch [228][400/523] lr: 6.818e-03, eta: 4:55:55, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 3.0374, loss: 3.0374 +2025-06-03 07:22:26,954 - pyskl - INFO - Epoch [228][500/523] lr: 6.784e-03, eta: 4:55:08, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9747, top5_acc: 0.9994, loss_cls: 3.0175, loss: 3.0175 +2025-06-03 07:22:37,804 - pyskl - INFO - Saving checkpoint at 228 epochs +2025-06-03 07:23:06,173 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:23:06,244 - pyskl - INFO - +top1_acc 0.4408 +top5_acc 0.6485 +2025-06-03 07:23:06,244 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:23:06,252 - pyskl - INFO - +mean_acc 0.4395 +2025-06-03 07:23:06,254 - pyskl - INFO - Epoch(val) [228][198] top1_acc: 0.4408, top5_acc: 0.6485, mean_class_accuracy: 0.4395 +2025-06-03 07:24:16,595 - pyskl - INFO - Epoch [229][100/523] lr: 6.742e-03, eta: 4:54:14, time: 0.703, data_time: 0.260, memory: 7964, top1_acc: 0.9784, top5_acc: 0.9997, loss_cls: 2.8560, loss: 2.8560 +2025-06-03 07:25:01,105 - pyskl - INFO - Epoch [229][200/523] lr: 6.708e-03, eta: 4:53:26, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 2.9092, loss: 2.9092 +2025-06-03 07:25:44,857 - pyskl - INFO - Epoch [229][300/523] lr: 6.674e-03, eta: 4:52:38, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 2.9696, loss: 2.9696 +2025-06-03 07:26:27,502 - pyskl - INFO - Epoch [229][400/523] lr: 6.640e-03, eta: 4:51:50, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 3.0019, loss: 3.0019 +2025-06-03 07:27:11,096 - pyskl - INFO - Epoch [229][500/523] lr: 6.606e-03, eta: 4:51:02, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9731, top5_acc: 0.9997, loss_cls: 3.0181, loss: 3.0181 +2025-06-03 07:27:21,980 - pyskl - INFO - Saving checkpoint at 229 epochs +2025-06-03 07:27:50,346 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:27:50,415 - pyskl - INFO - +top1_acc 0.4473 +top5_acc 0.6475 +2025-06-03 07:27:50,415 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:27:50,423 - pyskl - INFO - +mean_acc 0.4476 +2025-06-03 07:27:50,425 - pyskl - INFO - Epoch(val) [229][198] top1_acc: 0.4473, top5_acc: 0.6475, mean_class_accuracy: 0.4476 +2025-06-03 07:29:00,857 - pyskl - INFO - Epoch [230][100/523] lr: 6.564e-03, eta: 4:50:08, time: 0.704, data_time: 0.258, memory: 7964, top1_acc: 0.9812, top5_acc: 0.9997, loss_cls: 2.9646, loss: 2.9646 +2025-06-03 07:29:45,747 - pyskl - INFO - Epoch [230][200/523] lr: 6.530e-03, eta: 4:49:20, time: 0.449, data_time: 0.000, memory: 7964, top1_acc: 0.9809, top5_acc: 1.0000, loss_cls: 2.8216, loss: 2.8216 +2025-06-03 07:30:29,645 - pyskl - INFO - Epoch [230][300/523] lr: 6.497e-03, eta: 4:48:32, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9816, top5_acc: 0.9994, loss_cls: 2.9508, loss: 2.9508 +2025-06-03 07:31:12,653 - pyskl - INFO - Epoch [230][400/523] lr: 6.463e-03, eta: 4:47:44, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 2.9512, loss: 2.9512 +2025-06-03 07:31:57,110 - pyskl - INFO - Epoch [230][500/523] lr: 6.429e-03, eta: 4:46:56, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 3.0295, loss: 3.0295 +2025-06-03 07:32:07,954 - pyskl - INFO - Saving checkpoint at 230 epochs +2025-06-03 07:32:35,941 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:32:36,012 - pyskl - INFO - +top1_acc 0.4460 +top5_acc 0.6496 +2025-06-03 07:32:36,012 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:32:36,019 - pyskl - INFO - +mean_acc 0.4444 +2025-06-03 07:32:36,020 - pyskl - INFO - Epoch(val) [230][198] top1_acc: 0.4460, top5_acc: 0.6496, mean_class_accuracy: 0.4444 +2025-06-03 07:33:46,497 - pyskl - INFO - Epoch [231][100/523] lr: 6.388e-03, eta: 4:46:02, time: 0.705, data_time: 0.251, memory: 7964, top1_acc: 0.9869, top5_acc: 0.9997, loss_cls: 2.9212, loss: 2.9212 +2025-06-03 07:34:31,190 - pyskl - INFO - Epoch [231][200/523] lr: 6.355e-03, eta: 4:45:14, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 2.9262, loss: 2.9262 +2025-06-03 07:35:14,766 - pyskl - INFO - Epoch [231][300/523] lr: 6.322e-03, eta: 4:44:26, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9828, top5_acc: 1.0000, loss_cls: 2.9060, loss: 2.9060 +2025-06-03 07:35:57,181 - pyskl - INFO - Epoch [231][400/523] lr: 6.288e-03, eta: 4:43:38, time: 0.424, data_time: 0.000, memory: 7964, top1_acc: 0.9778, top5_acc: 1.0000, loss_cls: 2.9225, loss: 2.9225 +2025-06-03 07:36:41,410 - pyskl - INFO - Epoch [231][500/523] lr: 6.255e-03, eta: 4:42:50, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 2.9009, loss: 2.9009 +2025-06-03 07:36:52,346 - pyskl - INFO - Saving checkpoint at 231 epochs +2025-06-03 07:37:20,486 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:37:20,557 - pyskl - INFO - +top1_acc 0.4533 +top5_acc 0.6515 +2025-06-03 07:37:20,557 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:37:20,564 - pyskl - INFO - +mean_acc 0.4533 +2025-06-03 07:37:20,566 - pyskl - INFO - Epoch(val) [231][198] top1_acc: 0.4533, top5_acc: 0.6515, mean_class_accuracy: 0.4533 +2025-06-03 07:38:30,785 - pyskl - INFO - Epoch [232][100/523] lr: 6.214e-03, eta: 4:41:56, time: 0.702, data_time: 0.251, memory: 7964, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.7479, loss: 2.7479 +2025-06-03 07:39:14,932 - pyskl - INFO - Epoch [232][200/523] lr: 6.181e-03, eta: 4:41:08, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9809, top5_acc: 1.0000, loss_cls: 2.9287, loss: 2.9287 +2025-06-03 07:39:58,096 - pyskl - INFO - Epoch [232][300/523] lr: 6.149e-03, eta: 4:40:20, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9048, loss: 2.9048 +2025-06-03 07:40:41,580 - pyskl - INFO - Epoch [232][400/523] lr: 6.116e-03, eta: 4:39:32, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9778, top5_acc: 1.0000, loss_cls: 2.8895, loss: 2.8895 +2025-06-03 07:41:25,680 - pyskl - INFO - Epoch [232][500/523] lr: 6.083e-03, eta: 4:38:44, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9678, top5_acc: 0.9997, loss_cls: 2.9980, loss: 2.9980 +2025-06-03 07:41:36,363 - pyskl - INFO - Saving checkpoint at 232 epochs +2025-06-03 07:42:04,745 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:42:04,814 - pyskl - INFO - +top1_acc 0.4371 +top5_acc 0.6433 +2025-06-03 07:42:04,815 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:42:04,821 - pyskl - INFO - +mean_acc 0.4378 +2025-06-03 07:42:04,823 - pyskl - INFO - Epoch(val) [232][198] top1_acc: 0.4371, top5_acc: 0.6433, mean_class_accuracy: 0.4378 +2025-06-03 07:43:14,005 - pyskl - INFO - Epoch [233][100/523] lr: 6.043e-03, eta: 4:37:50, time: 0.692, data_time: 0.254, memory: 7964, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.8983, loss: 2.8983 +2025-06-03 07:43:58,094 - pyskl - INFO - Epoch [233][200/523] lr: 6.010e-03, eta: 4:37:02, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9912, top5_acc: 0.9997, loss_cls: 2.9052, loss: 2.9052 +2025-06-03 07:44:41,507 - pyskl - INFO - Epoch [233][300/523] lr: 5.978e-03, eta: 4:36:14, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9816, top5_acc: 0.9994, loss_cls: 2.8959, loss: 2.8959 +2025-06-03 07:45:25,228 - pyskl - INFO - Epoch [233][400/523] lr: 5.945e-03, eta: 4:35:26, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9819, top5_acc: 0.9997, loss_cls: 2.7814, loss: 2.7814 +2025-06-03 07:46:07,927 - pyskl - INFO - Epoch [233][500/523] lr: 5.913e-03, eta: 4:34:38, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9809, top5_acc: 0.9994, loss_cls: 2.9813, loss: 2.9813 +2025-06-03 07:46:18,762 - pyskl - INFO - Saving checkpoint at 233 epochs +2025-06-03 07:46:46,983 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:46:47,053 - pyskl - INFO - +top1_acc 0.4419 +top5_acc 0.6464 +2025-06-03 07:46:47,053 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:46:47,060 - pyskl - INFO - +mean_acc 0.4419 +2025-06-03 07:46:47,062 - pyskl - INFO - Epoch(val) [233][198] top1_acc: 0.4419, top5_acc: 0.6464, mean_class_accuracy: 0.4419 +2025-06-03 07:47:56,773 - pyskl - INFO - Epoch [234][100/523] lr: 5.873e-03, eta: 4:33:43, time: 0.697, data_time: 0.252, memory: 7964, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.7488, loss: 2.7488 +2025-06-03 07:48:40,729 - pyskl - INFO - Epoch [234][200/523] lr: 5.841e-03, eta: 4:32:55, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.8250, loss: 2.8250 +2025-06-03 07:49:23,673 - pyskl - INFO - Epoch [234][300/523] lr: 5.809e-03, eta: 4:32:07, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9834, top5_acc: 0.9994, loss_cls: 2.8856, loss: 2.8856 +2025-06-03 07:50:07,849 - pyskl - INFO - Epoch [234][400/523] lr: 5.777e-03, eta: 4:31:19, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9819, top5_acc: 0.9997, loss_cls: 2.8835, loss: 2.8835 +2025-06-03 07:50:52,332 - pyskl - INFO - Epoch [234][500/523] lr: 5.745e-03, eta: 4:30:32, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9831, top5_acc: 0.9991, loss_cls: 2.8501, loss: 2.8501 +2025-06-03 07:51:03,245 - pyskl - INFO - Saving checkpoint at 234 epochs +2025-06-03 07:51:31,424 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:51:31,495 - pyskl - INFO - +top1_acc 0.4557 +top5_acc 0.6550 +2025-06-03 07:51:31,495 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:51:31,502 - pyskl - INFO - +mean_acc 0.4563 +2025-06-03 07:51:31,559 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_217.pth was removed +2025-06-03 07:51:33,121 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_234.pth. +2025-06-03 07:51:33,123 - pyskl - INFO - Best top1_acc is 0.4557 at 234 epoch. +2025-06-03 07:51:33,125 - pyskl - INFO - Epoch(val) [234][198] top1_acc: 0.4557, top5_acc: 0.6550, mean_class_accuracy: 0.4563 +2025-06-03 07:52:42,199 - pyskl - INFO - Epoch [235][100/523] lr: 5.706e-03, eta: 4:29:37, time: 0.691, data_time: 0.248, memory: 7964, top1_acc: 0.9872, top5_acc: 1.0000, loss_cls: 2.7824, loss: 2.7824 +2025-06-03 07:53:26,803 - pyskl - INFO - Epoch [235][200/523] lr: 5.674e-03, eta: 4:28:49, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9875, top5_acc: 0.9997, loss_cls: 2.7817, loss: 2.7817 +2025-06-03 07:54:09,828 - pyskl - INFO - Epoch [235][300/523] lr: 5.642e-03, eta: 4:28:01, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9834, top5_acc: 1.0000, loss_cls: 2.7984, loss: 2.7984 +2025-06-03 07:54:53,261 - pyskl - INFO - Epoch [235][400/523] lr: 5.610e-03, eta: 4:27:13, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9844, top5_acc: 0.9997, loss_cls: 2.8003, loss: 2.8003 +2025-06-03 07:55:37,023 - pyskl - INFO - Epoch [235][500/523] lr: 5.579e-03, eta: 4:26:25, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 2.8238, loss: 2.8238 +2025-06-03 07:55:47,731 - pyskl - INFO - Saving checkpoint at 235 epochs +2025-06-03 07:56:16,107 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:56:16,176 - pyskl - INFO - +top1_acc 0.4500 +top5_acc 0.6491 +2025-06-03 07:56:16,176 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 07:56:16,184 - pyskl - INFO - +mean_acc 0.4496 +2025-06-03 07:56:16,185 - pyskl - INFO - Epoch(val) [235][198] top1_acc: 0.4500, top5_acc: 0.6491, mean_class_accuracy: 0.4496 +2025-06-03 07:57:26,962 - pyskl - INFO - Epoch [236][100/523] lr: 5.540e-03, eta: 4:25:31, time: 0.708, data_time: 0.261, memory: 7964, top1_acc: 0.9847, top5_acc: 1.0000, loss_cls: 2.8021, loss: 2.8021 +2025-06-03 07:58:11,392 - pyskl - INFO - Epoch [236][200/523] lr: 5.509e-03, eta: 4:24:43, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9891, top5_acc: 1.0000, loss_cls: 2.7821, loss: 2.7821 +2025-06-03 07:58:54,466 - pyskl - INFO - Epoch [236][300/523] lr: 5.478e-03, eta: 4:23:55, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.6942, loss: 2.6942 +2025-06-03 07:59:38,480 - pyskl - INFO - Epoch [236][400/523] lr: 5.446e-03, eta: 4:23:07, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9872, top5_acc: 0.9997, loss_cls: 2.7884, loss: 2.7884 +2025-06-03 08:00:23,029 - pyskl - INFO - Epoch [236][500/523] lr: 5.415e-03, eta: 4:22:20, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9853, top5_acc: 0.9997, loss_cls: 2.8154, loss: 2.8154 +2025-06-03 08:00:33,915 - pyskl - INFO - Saving checkpoint at 236 epochs +2025-06-03 08:01:02,253 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:01:02,323 - pyskl - INFO - +top1_acc 0.4585 +top5_acc 0.6539 +2025-06-03 08:01:02,323 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:01:02,331 - pyskl - INFO - +mean_acc 0.4607 +2025-06-03 08:01:02,387 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_234.pth was removed +2025-06-03 08:01:03,940 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_236.pth. +2025-06-03 08:01:03,942 - pyskl - INFO - Best top1_acc is 0.4585 at 236 epoch. +2025-06-03 08:01:03,944 - pyskl - INFO - Epoch(val) [236][198] top1_acc: 0.4585, top5_acc: 0.6539, mean_class_accuracy: 0.4607 +2025-06-03 08:02:11,438 - pyskl - INFO - Epoch [237][100/523] lr: 5.377e-03, eta: 4:21:25, time: 0.675, data_time: 0.247, memory: 7964, top1_acc: 0.9853, top5_acc: 1.0000, loss_cls: 2.8250, loss: 2.8250 +2025-06-03 08:02:54,950 - pyskl - INFO - Epoch [237][200/523] lr: 5.346e-03, eta: 4:20:37, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.8128, loss: 2.8128 +2025-06-03 08:03:38,075 - pyskl - INFO - Epoch [237][300/523] lr: 5.315e-03, eta: 4:19:49, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 2.7103, loss: 2.7103 +2025-06-03 08:04:22,974 - pyskl - INFO - Epoch [237][400/523] lr: 5.284e-03, eta: 4:19:01, time: 0.449, data_time: 0.000, memory: 7964, top1_acc: 0.9866, top5_acc: 0.9997, loss_cls: 2.7476, loss: 2.7476 +2025-06-03 08:05:07,104 - pyskl - INFO - Epoch [237][500/523] lr: 5.253e-03, eta: 4:18:13, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.7277, loss: 2.7277 +2025-06-03 08:05:18,012 - pyskl - INFO - Saving checkpoint at 237 epochs +2025-06-03 08:05:47,733 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:05:47,806 - pyskl - INFO - +top1_acc 0.4455 +top5_acc 0.6491 +2025-06-03 08:05:47,806 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:05:47,819 - pyskl - INFO - +mean_acc 0.4455 +2025-06-03 08:05:47,821 - pyskl - INFO - Epoch(val) [237][198] top1_acc: 0.4455, top5_acc: 0.6491, mean_class_accuracy: 0.4455 +2025-06-03 08:06:59,342 - pyskl - INFO - Epoch [238][100/523] lr: 5.216e-03, eta: 4:17:19, time: 0.715, data_time: 0.270, memory: 7964, top1_acc: 0.9875, top5_acc: 0.9997, loss_cls: 2.7353, loss: 2.7353 +2025-06-03 08:07:43,315 - pyskl - INFO - Epoch [238][200/523] lr: 5.185e-03, eta: 4:16:31, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9916, top5_acc: 1.0000, loss_cls: 2.7289, loss: 2.7289 +2025-06-03 08:08:26,645 - pyskl - INFO - Epoch [238][300/523] lr: 5.155e-03, eta: 4:15:43, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9866, top5_acc: 0.9997, loss_cls: 2.7701, loss: 2.7701 +2025-06-03 08:09:10,594 - pyskl - INFO - Epoch [238][400/523] lr: 5.124e-03, eta: 4:14:56, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 2.7369, loss: 2.7369 +2025-06-03 08:09:55,246 - pyskl - INFO - Epoch [238][500/523] lr: 5.094e-03, eta: 4:14:08, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9809, top5_acc: 0.9997, loss_cls: 2.8478, loss: 2.8478 +2025-06-03 08:10:06,389 - pyskl - INFO - Saving checkpoint at 238 epochs +2025-06-03 08:10:35,591 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:10:35,668 - pyskl - INFO - +top1_acc 0.4524 +top5_acc 0.6529 +2025-06-03 08:10:35,668 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:10:35,678 - pyskl - INFO - +mean_acc 0.4521 +2025-06-03 08:10:35,681 - pyskl - INFO - Epoch(val) [238][198] top1_acc: 0.4524, top5_acc: 0.6529, mean_class_accuracy: 0.4521 +2025-06-03 08:11:45,995 - pyskl - INFO - Epoch [239][100/523] lr: 5.057e-03, eta: 4:13:13, time: 0.703, data_time: 0.272, memory: 7964, top1_acc: 0.9897, top5_acc: 0.9997, loss_cls: 2.7178, loss: 2.7178 +2025-06-03 08:12:28,990 - pyskl - INFO - Epoch [239][200/523] lr: 5.027e-03, eta: 4:12:25, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9884, top5_acc: 0.9997, loss_cls: 2.7482, loss: 2.7482 +2025-06-03 08:13:12,554 - pyskl - INFO - Epoch [239][300/523] lr: 4.997e-03, eta: 4:11:38, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9891, top5_acc: 1.0000, loss_cls: 2.7696, loss: 2.7696 +2025-06-03 08:13:56,323 - pyskl - INFO - Epoch [239][400/523] lr: 4.967e-03, eta: 4:10:50, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.7587, loss: 2.7587 +2025-06-03 08:14:39,848 - pyskl - INFO - Epoch [239][500/523] lr: 4.937e-03, eta: 4:10:02, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.7549, loss: 2.7549 +2025-06-03 08:14:50,690 - pyskl - INFO - Saving checkpoint at 239 epochs +2025-06-03 08:15:20,014 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:15:20,089 - pyskl - INFO - +top1_acc 0.4571 +top5_acc 0.6599 +2025-06-03 08:15:20,089 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:15:20,098 - pyskl - INFO - +mean_acc 0.4567 +2025-06-03 08:15:20,099 - pyskl - INFO - Epoch(val) [239][198] top1_acc: 0.4571, top5_acc: 0.6599, mean_class_accuracy: 0.4567 +2025-06-03 08:16:31,212 - pyskl - INFO - Epoch [240][100/523] lr: 4.900e-03, eta: 4:09:07, time: 0.711, data_time: 0.268, memory: 7964, top1_acc: 0.9909, top5_acc: 1.0000, loss_cls: 2.6253, loss: 2.6253 +2025-06-03 08:17:14,610 - pyskl - INFO - Epoch [240][200/523] lr: 4.870e-03, eta: 4:08:19, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9922, top5_acc: 0.9997, loss_cls: 2.7197, loss: 2.7197 +2025-06-03 08:17:57,523 - pyskl - INFO - Epoch [240][300/523] lr: 4.841e-03, eta: 4:07:31, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9884, top5_acc: 1.0000, loss_cls: 2.7947, loss: 2.7947 +2025-06-03 08:18:41,333 - pyskl - INFO - Epoch [240][400/523] lr: 4.811e-03, eta: 4:06:44, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.7071, loss: 2.7071 +2025-06-03 08:19:24,516 - pyskl - INFO - Epoch [240][500/523] lr: 4.782e-03, eta: 4:05:56, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9844, top5_acc: 0.9997, loss_cls: 2.7799, loss: 2.7799 +2025-06-03 08:19:35,492 - pyskl - INFO - Saving checkpoint at 240 epochs +2025-06-03 08:20:04,204 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:20:04,274 - pyskl - INFO - +top1_acc 0.4519 +top5_acc 0.6532 +2025-06-03 08:20:04,274 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:20:04,282 - pyskl - INFO - +mean_acc 0.4522 +2025-06-03 08:20:04,283 - pyskl - INFO - Epoch(val) [240][198] top1_acc: 0.4519, top5_acc: 0.6532, mean_class_accuracy: 0.4522 +2025-06-03 08:21:15,232 - pyskl - INFO - Epoch [241][100/523] lr: 4.745e-03, eta: 4:05:01, time: 0.709, data_time: 0.264, memory: 7964, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.6456, loss: 2.6456 +2025-06-03 08:21:57,995 - pyskl - INFO - Epoch [241][200/523] lr: 4.716e-03, eta: 4:04:13, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9909, top5_acc: 1.0000, loss_cls: 2.5967, loss: 2.5967 +2025-06-03 08:22:41,380 - pyskl - INFO - Epoch [241][300/523] lr: 4.687e-03, eta: 4:03:25, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 2.7507, loss: 2.7507 +2025-06-03 08:23:25,910 - pyskl - INFO - Epoch [241][400/523] lr: 4.658e-03, eta: 4:02:38, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.6401, loss: 2.6401 +2025-06-03 08:24:10,527 - pyskl - INFO - Epoch [241][500/523] lr: 4.629e-03, eta: 4:01:50, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.6448, loss: 2.6448 +2025-06-03 08:24:21,627 - pyskl - INFO - Saving checkpoint at 241 epochs +2025-06-03 08:24:50,409 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:24:50,483 - pyskl - INFO - +top1_acc 0.4538 +top5_acc 0.6544 +2025-06-03 08:24:50,483 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:24:50,492 - pyskl - INFO - +mean_acc 0.4531 +2025-06-03 08:24:50,493 - pyskl - INFO - Epoch(val) [241][198] top1_acc: 0.4538, top5_acc: 0.6544, mean_class_accuracy: 0.4531 +2025-06-03 08:26:00,845 - pyskl - INFO - Epoch [242][100/523] lr: 4.593e-03, eta: 4:00:55, time: 0.703, data_time: 0.261, memory: 7964, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.6432, loss: 2.6432 +2025-06-03 08:26:44,702 - pyskl - INFO - Epoch [242][200/523] lr: 4.564e-03, eta: 4:00:08, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.7310, loss: 2.7310 +2025-06-03 08:27:28,230 - pyskl - INFO - Epoch [242][300/523] lr: 4.535e-03, eta: 3:59:20, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9903, top5_acc: 1.0000, loss_cls: 2.6988, loss: 2.6988 +2025-06-03 08:28:12,282 - pyskl - INFO - Epoch [242][400/523] lr: 4.507e-03, eta: 3:58:32, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.6516, loss: 2.6516 +2025-06-03 08:28:56,535 - pyskl - INFO - Epoch [242][500/523] lr: 4.478e-03, eta: 3:57:44, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9897, top5_acc: 1.0000, loss_cls: 2.6877, loss: 2.6877 +2025-06-03 08:29:07,689 - pyskl - INFO - Saving checkpoint at 242 epochs +2025-06-03 08:29:36,358 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:29:36,435 - pyskl - INFO - +top1_acc 0.4558 +top5_acc 0.6559 +2025-06-03 08:29:36,436 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:29:36,444 - pyskl - INFO - +mean_acc 0.4558 +2025-06-03 08:29:36,446 - pyskl - INFO - Epoch(val) [242][198] top1_acc: 0.4558, top5_acc: 0.6559, mean_class_accuracy: 0.4558 +2025-06-03 08:30:47,740 - pyskl - INFO - Epoch [243][100/523] lr: 4.443e-03, eta: 3:56:50, time: 0.713, data_time: 0.273, memory: 7964, top1_acc: 0.9928, top5_acc: 1.0000, loss_cls: 2.6607, loss: 2.6607 +2025-06-03 08:31:31,175 - pyskl - INFO - Epoch [243][200/523] lr: 4.415e-03, eta: 3:56:02, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9909, top5_acc: 1.0000, loss_cls: 2.6475, loss: 2.6475 +2025-06-03 08:32:15,158 - pyskl - INFO - Epoch [243][300/523] lr: 4.386e-03, eta: 3:55:14, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.6883, loss: 2.6883 +2025-06-03 08:32:59,451 - pyskl - INFO - Epoch [243][400/523] lr: 4.358e-03, eta: 3:54:27, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.6507, loss: 2.6507 +2025-06-03 08:33:43,884 - pyskl - INFO - Epoch [243][500/523] lr: 4.330e-03, eta: 3:53:39, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9891, top5_acc: 1.0000, loss_cls: 2.6698, loss: 2.6698 +2025-06-03 08:33:54,808 - pyskl - INFO - Saving checkpoint at 243 epochs +2025-06-03 08:34:23,116 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:34:23,185 - pyskl - INFO - +top1_acc 0.4541 +top5_acc 0.6439 +2025-06-03 08:34:23,185 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:34:23,196 - pyskl - INFO - +mean_acc 0.4548 +2025-06-03 08:34:23,198 - pyskl - INFO - Epoch(val) [243][198] top1_acc: 0.4541, top5_acc: 0.6439, mean_class_accuracy: 0.4548 +2025-06-03 08:35:33,418 - pyskl - INFO - Epoch [244][100/523] lr: 4.295e-03, eta: 3:52:44, time: 0.702, data_time: 0.251, memory: 7964, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.7167, loss: 2.7167 +2025-06-03 08:36:17,357 - pyskl - INFO - Epoch [244][200/523] lr: 4.267e-03, eta: 3:51:56, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9916, top5_acc: 1.0000, loss_cls: 2.6443, loss: 2.6443 +2025-06-03 08:37:00,709 - pyskl - INFO - Epoch [244][300/523] lr: 4.239e-03, eta: 3:51:09, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9928, top5_acc: 1.0000, loss_cls: 2.6091, loss: 2.6091 +2025-06-03 08:37:44,740 - pyskl - INFO - Epoch [244][400/523] lr: 4.211e-03, eta: 3:50:21, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9891, top5_acc: 1.0000, loss_cls: 2.7259, loss: 2.7259 +2025-06-03 08:38:28,638 - pyskl - INFO - Epoch [244][500/523] lr: 4.184e-03, eta: 3:49:33, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9909, top5_acc: 1.0000, loss_cls: 2.6581, loss: 2.6581 +2025-06-03 08:38:39,378 - pyskl - INFO - Saving checkpoint at 244 epochs +2025-06-03 08:39:07,423 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:39:07,491 - pyskl - INFO - +top1_acc 0.4587 +top5_acc 0.6547 +2025-06-03 08:39:07,492 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:39:07,499 - pyskl - INFO - +mean_acc 0.4593 +2025-06-03 08:39:07,554 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_236.pth was removed +2025-06-03 08:39:09,118 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_244.pth. +2025-06-03 08:39:09,120 - pyskl - INFO - Best top1_acc is 0.4587 at 244 epoch. +2025-06-03 08:39:09,123 - pyskl - INFO - Epoch(val) [244][198] top1_acc: 0.4587, top5_acc: 0.6547, mean_class_accuracy: 0.4593 +2025-06-03 08:40:17,401 - pyskl - INFO - Epoch [245][100/523] lr: 4.150e-03, eta: 3:48:38, time: 0.683, data_time: 0.245, memory: 7964, top1_acc: 0.9947, top5_acc: 1.0000, loss_cls: 2.5473, loss: 2.5473 +2025-06-03 08:41:00,152 - pyskl - INFO - Epoch [245][200/523] lr: 4.122e-03, eta: 3:47:50, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.5327, loss: 2.5327 +2025-06-03 08:41:44,216 - pyskl - INFO - Epoch [245][300/523] lr: 4.095e-03, eta: 3:47:02, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9909, top5_acc: 1.0000, loss_cls: 2.7147, loss: 2.7147 +2025-06-03 08:42:28,946 - pyskl - INFO - Epoch [245][400/523] lr: 4.067e-03, eta: 3:46:15, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9953, top5_acc: 1.0000, loss_cls: 2.6116, loss: 2.6116 +2025-06-03 08:43:13,779 - pyskl - INFO - Epoch [245][500/523] lr: 4.040e-03, eta: 3:45:27, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.5821, loss: 2.5821 +2025-06-03 08:43:24,673 - pyskl - INFO - Saving checkpoint at 245 epochs +2025-06-03 08:43:52,963 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:43:53,032 - pyskl - INFO - +top1_acc 0.4508 +top5_acc 0.6496 +2025-06-03 08:43:53,032 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:43:53,039 - pyskl - INFO - +mean_acc 0.4521 +2025-06-03 08:43:53,041 - pyskl - INFO - Epoch(val) [245][198] top1_acc: 0.4508, top5_acc: 0.6496, mean_class_accuracy: 0.4521 +2025-06-03 08:45:01,648 - pyskl - INFO - Epoch [246][100/523] lr: 4.006e-03, eta: 3:44:32, time: 0.686, data_time: 0.254, memory: 7964, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.5868, loss: 2.5868 +2025-06-03 08:45:45,161 - pyskl - INFO - Epoch [246][200/523] lr: 3.979e-03, eta: 3:43:44, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.5529, loss: 2.5529 +2025-06-03 08:46:29,074 - pyskl - INFO - Epoch [246][300/523] lr: 3.952e-03, eta: 3:42:56, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.5986, loss: 2.5986 +2025-06-03 08:47:13,884 - pyskl - INFO - Epoch [246][400/523] lr: 3.925e-03, eta: 3:42:09, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.9909, top5_acc: 0.9997, loss_cls: 2.5543, loss: 2.5543 +2025-06-03 08:47:58,119 - pyskl - INFO - Epoch [246][500/523] lr: 3.898e-03, eta: 3:41:21, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9941, top5_acc: 1.0000, loss_cls: 2.5869, loss: 2.5869 +2025-06-03 08:48:09,052 - pyskl - INFO - Saving checkpoint at 246 epochs +2025-06-03 08:48:37,398 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:48:37,468 - pyskl - INFO - +top1_acc 0.4570 +top5_acc 0.6563 +2025-06-03 08:48:37,468 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:48:37,475 - pyskl - INFO - +mean_acc 0.4565 +2025-06-03 08:48:37,477 - pyskl - INFO - Epoch(val) [246][198] top1_acc: 0.4570, top5_acc: 0.6563, mean_class_accuracy: 0.4565 +2025-06-03 08:49:47,425 - pyskl - INFO - Epoch [247][100/523] lr: 3.865e-03, eta: 3:40:26, time: 0.699, data_time: 0.257, memory: 7964, top1_acc: 0.9953, top5_acc: 1.0000, loss_cls: 2.5785, loss: 2.5785 +2025-06-03 08:50:31,113 - pyskl - INFO - Epoch [247][200/523] lr: 3.839e-03, eta: 3:39:38, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.5114, loss: 2.5114 +2025-06-03 08:51:15,421 - pyskl - INFO - Epoch [247][300/523] lr: 3.812e-03, eta: 3:38:51, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.5671, loss: 2.5671 +2025-06-03 08:51:59,749 - pyskl - INFO - Epoch [247][400/523] lr: 3.785e-03, eta: 3:38:03, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9953, top5_acc: 1.0000, loss_cls: 2.5046, loss: 2.5046 +2025-06-03 08:52:43,608 - pyskl - INFO - Epoch [247][500/523] lr: 3.759e-03, eta: 3:37:16, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9888, top5_acc: 0.9997, loss_cls: 2.5848, loss: 2.5848 +2025-06-03 08:52:54,501 - pyskl - INFO - Saving checkpoint at 247 epochs +2025-06-03 08:53:22,745 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:53:22,814 - pyskl - INFO - +top1_acc 0.4482 +top5_acc 0.6464 +2025-06-03 08:53:22,814 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:53:22,822 - pyskl - INFO - +mean_acc 0.4468 +2025-06-03 08:53:22,824 - pyskl - INFO - Epoch(val) [247][198] top1_acc: 0.4482, top5_acc: 0.6464, mean_class_accuracy: 0.4468 +2025-06-03 08:54:33,093 - pyskl - INFO - Epoch [248][100/523] lr: 3.727e-03, eta: 3:36:20, time: 0.703, data_time: 0.258, memory: 7964, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.6133, loss: 2.6133 +2025-06-03 08:55:16,742 - pyskl - INFO - Epoch [248][200/523] lr: 3.700e-03, eta: 3:35:33, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9922, top5_acc: 1.0000, loss_cls: 2.4824, loss: 2.4824 +2025-06-03 08:56:01,057 - pyskl - INFO - Epoch [248][300/523] lr: 3.674e-03, eta: 3:34:45, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.5929, loss: 2.5929 +2025-06-03 08:56:45,447 - pyskl - INFO - Epoch [248][400/523] lr: 3.648e-03, eta: 3:33:58, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9953, top5_acc: 1.0000, loss_cls: 2.5867, loss: 2.5867 +2025-06-03 08:57:29,906 - pyskl - INFO - Epoch [248][500/523] lr: 3.622e-03, eta: 3:33:10, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9953, top5_acc: 1.0000, loss_cls: 2.5992, loss: 2.5992 +2025-06-03 08:57:40,592 - pyskl - INFO - Saving checkpoint at 248 epochs +2025-06-03 08:58:09,165 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:58:09,236 - pyskl - INFO - +top1_acc 0.4628 +top5_acc 0.6594 +2025-06-03 08:58:09,237 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 08:58:09,245 - pyskl - INFO - +mean_acc 0.4621 +2025-06-03 08:58:09,300 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_244.pth was removed +2025-06-03 08:58:10,901 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_248.pth. +2025-06-03 08:58:10,903 - pyskl - INFO - Best top1_acc is 0.4628 at 248 epoch. +2025-06-03 08:58:10,906 - pyskl - INFO - Epoch(val) [248][198] top1_acc: 0.4628, top5_acc: 0.6594, mean_class_accuracy: 0.4621 +2025-06-03 08:59:20,387 - pyskl - INFO - Epoch [249][100/523] lr: 3.590e-03, eta: 3:32:15, time: 0.695, data_time: 0.254, memory: 7964, top1_acc: 0.9947, top5_acc: 1.0000, loss_cls: 2.4176, loss: 2.4176 +2025-06-03 09:00:03,207 - pyskl - INFO - Epoch [249][200/523] lr: 3.564e-03, eta: 3:31:27, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9916, top5_acc: 1.0000, loss_cls: 2.5494, loss: 2.5494 +2025-06-03 09:00:47,659 - pyskl - INFO - Epoch [249][300/523] lr: 3.539e-03, eta: 3:30:39, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9953, top5_acc: 1.0000, loss_cls: 2.5665, loss: 2.5665 +2025-06-03 09:01:32,248 - pyskl - INFO - Epoch [249][400/523] lr: 3.513e-03, eta: 3:29:52, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9916, top5_acc: 1.0000, loss_cls: 2.5402, loss: 2.5402 +2025-06-03 09:02:16,426 - pyskl - INFO - Epoch [249][500/523] lr: 3.488e-03, eta: 3:29:04, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.5314, loss: 2.5314 +2025-06-03 09:02:27,400 - pyskl - INFO - Saving checkpoint at 249 epochs +2025-06-03 09:02:56,331 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:02:56,405 - pyskl - INFO - +top1_acc 0.4608 +top5_acc 0.6564 +2025-06-03 09:02:56,405 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:02:56,413 - pyskl - INFO - +mean_acc 0.4605 +2025-06-03 09:02:56,414 - pyskl - INFO - Epoch(val) [249][198] top1_acc: 0.4608, top5_acc: 0.6564, mean_class_accuracy: 0.4605 +2025-06-03 09:04:06,787 - pyskl - INFO - Epoch [250][100/523] lr: 3.456e-03, eta: 3:28:09, time: 0.704, data_time: 0.262, memory: 7964, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 2.5177, loss: 2.5177 +2025-06-03 09:04:49,645 - pyskl - INFO - Epoch [250][200/523] lr: 3.431e-03, eta: 3:27:21, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.4911, loss: 2.4911 +2025-06-03 09:05:34,208 - pyskl - INFO - Epoch [250][300/523] lr: 3.406e-03, eta: 3:26:34, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 2.5920, loss: 2.5920 +2025-06-03 09:06:18,685 - pyskl - INFO - Epoch [250][400/523] lr: 3.380e-03, eta: 3:25:46, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.5547, loss: 2.5547 +2025-06-03 09:07:03,021 - pyskl - INFO - Epoch [250][500/523] lr: 3.355e-03, eta: 3:24:59, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9925, top5_acc: 0.9997, loss_cls: 2.6097, loss: 2.6097 +2025-06-03 09:07:13,861 - pyskl - INFO - Saving checkpoint at 250 epochs +2025-06-03 09:07:42,334 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:07:42,406 - pyskl - INFO - +top1_acc 0.4682 +top5_acc 0.6553 +2025-06-03 09:07:42,407 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:07:42,415 - pyskl - INFO - +mean_acc 0.4695 +2025-06-03 09:07:42,473 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_248.pth was removed +2025-06-03 09:07:44,091 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_250.pth. +2025-06-03 09:07:44,093 - pyskl - INFO - Best top1_acc is 0.4682 at 250 epoch. +2025-06-03 09:07:44,097 - pyskl - INFO - Epoch(val) [250][198] top1_acc: 0.4682, top5_acc: 0.6553, mean_class_accuracy: 0.4695 +2025-06-03 09:08:53,318 - pyskl - INFO - Epoch [251][100/523] lr: 3.325e-03, eta: 3:24:03, time: 0.692, data_time: 0.260, memory: 7964, top1_acc: 0.9947, top5_acc: 1.0000, loss_cls: 2.4864, loss: 2.4864 +2025-06-03 09:09:36,921 - pyskl - INFO - Epoch [251][200/523] lr: 3.300e-03, eta: 3:23:15, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.5369, loss: 2.5369 +2025-06-03 09:10:20,743 - pyskl - INFO - Epoch [251][300/523] lr: 3.275e-03, eta: 3:22:28, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4762, loss: 2.4762 +2025-06-03 09:11:05,093 - pyskl - INFO - Epoch [251][400/523] lr: 3.250e-03, eta: 3:21:40, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.4615, loss: 2.4615 +2025-06-03 09:11:49,353 - pyskl - INFO - Epoch [251][500/523] lr: 3.226e-03, eta: 3:20:53, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.5014, loss: 2.5014 +2025-06-03 09:12:00,004 - pyskl - INFO - Saving checkpoint at 251 epochs +2025-06-03 09:12:28,301 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:12:28,376 - pyskl - INFO - +top1_acc 0.4576 +top5_acc 0.6539 +2025-06-03 09:12:28,376 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:12:28,385 - pyskl - INFO - +mean_acc 0.4575 +2025-06-03 09:12:28,387 - pyskl - INFO - Epoch(val) [251][198] top1_acc: 0.4576, top5_acc: 0.6539, mean_class_accuracy: 0.4575 +2025-06-03 09:13:37,958 - pyskl - INFO - Epoch [252][100/523] lr: 3.195e-03, eta: 3:19:57, time: 0.696, data_time: 0.258, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.4482, loss: 2.4482 +2025-06-03 09:14:21,014 - pyskl - INFO - Epoch [252][200/523] lr: 3.171e-03, eta: 3:19:10, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.5149, loss: 2.5149 +2025-06-03 09:15:05,630 - pyskl - INFO - Epoch [252][300/523] lr: 3.147e-03, eta: 3:18:22, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.5638, loss: 2.5638 +2025-06-03 09:15:50,119 - pyskl - INFO - Epoch [252][400/523] lr: 3.122e-03, eta: 3:17:35, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9922, top5_acc: 1.0000, loss_cls: 2.5493, loss: 2.5493 +2025-06-03 09:16:34,509 - pyskl - INFO - Epoch [252][500/523] lr: 3.098e-03, eta: 3:16:47, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9934, top5_acc: 1.0000, loss_cls: 2.4794, loss: 2.4794 +2025-06-03 09:16:45,450 - pyskl - INFO - Saving checkpoint at 252 epochs +2025-06-03 09:17:14,553 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:17:14,625 - pyskl - INFO - +top1_acc 0.4595 +top5_acc 0.6588 +2025-06-03 09:17:14,625 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:17:14,634 - pyskl - INFO - +mean_acc 0.4605 +2025-06-03 09:17:14,637 - pyskl - INFO - Epoch(val) [252][198] top1_acc: 0.4595, top5_acc: 0.6588, mean_class_accuracy: 0.4605 +2025-06-03 09:18:24,798 - pyskl - INFO - Epoch [253][100/523] lr: 3.069e-03, eta: 3:15:52, time: 0.702, data_time: 0.265, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.4417, loss: 2.4417 +2025-06-03 09:19:08,590 - pyskl - INFO - Epoch [253][200/523] lr: 3.045e-03, eta: 3:15:04, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 2.3838, loss: 2.3838 +2025-06-03 09:19:52,823 - pyskl - INFO - Epoch [253][300/523] lr: 3.021e-03, eta: 3:14:17, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.5140, loss: 2.5140 +2025-06-03 09:20:36,785 - pyskl - INFO - Epoch [253][400/523] lr: 2.997e-03, eta: 3:13:29, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9938, top5_acc: 0.9997, loss_cls: 2.4286, loss: 2.4286 +2025-06-03 09:21:20,592 - pyskl - INFO - Epoch [253][500/523] lr: 2.973e-03, eta: 3:12:41, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.4946, loss: 2.4946 +2025-06-03 09:21:31,404 - pyskl - INFO - Saving checkpoint at 253 epochs +2025-06-03 09:21:59,825 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:21:59,895 - pyskl - INFO - +top1_acc 0.4695 +top5_acc 0.6569 +2025-06-03 09:21:59,896 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:21:59,906 - pyskl - INFO - +mean_acc 0.4687 +2025-06-03 09:21:59,996 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_250.pth was removed +2025-06-03 09:22:01,703 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_253.pth. +2025-06-03 09:22:01,705 - pyskl - INFO - Best top1_acc is 0.4695 at 253 epoch. +2025-06-03 09:22:01,708 - pyskl - INFO - Epoch(val) [253][198] top1_acc: 0.4695, top5_acc: 0.6569, mean_class_accuracy: 0.4687 +2025-06-03 09:23:11,415 - pyskl - INFO - Epoch [254][100/523] lr: 2.944e-03, eta: 3:11:46, time: 0.697, data_time: 0.258, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.4174, loss: 2.4174 +2025-06-03 09:23:55,555 - pyskl - INFO - Epoch [254][200/523] lr: 2.921e-03, eta: 3:10:58, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9959, top5_acc: 1.0000, loss_cls: 2.4803, loss: 2.4803 +2025-06-03 09:24:39,568 - pyskl - INFO - Epoch [254][300/523] lr: 2.897e-03, eta: 3:10:11, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.4727, loss: 2.4727 +2025-06-03 09:25:23,338 - pyskl - INFO - Epoch [254][400/523] lr: 2.874e-03, eta: 3:09:23, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.4694, loss: 2.4694 +2025-06-03 09:26:07,111 - pyskl - INFO - Epoch [254][500/523] lr: 2.850e-03, eta: 3:08:36, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.4949, loss: 2.4949 +2025-06-03 09:26:17,963 - pyskl - INFO - Saving checkpoint at 254 epochs +2025-06-03 09:26:46,365 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:26:46,435 - pyskl - INFO - +top1_acc 0.4663 +top5_acc 0.6524 +2025-06-03 09:26:46,435 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:26:46,444 - pyskl - INFO - +mean_acc 0.4668 +2025-06-03 09:26:46,446 - pyskl - INFO - Epoch(val) [254][198] top1_acc: 0.4663, top5_acc: 0.6524, mean_class_accuracy: 0.4668 +2025-06-03 09:27:55,712 - pyskl - INFO - Epoch [255][100/523] lr: 2.822e-03, eta: 3:07:40, time: 0.693, data_time: 0.261, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.3804, loss: 2.3804 +2025-06-03 09:28:39,606 - pyskl - INFO - Epoch [255][200/523] lr: 2.799e-03, eta: 3:06:52, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9956, top5_acc: 0.9997, loss_cls: 2.4407, loss: 2.4407 +2025-06-03 09:29:23,545 - pyskl - INFO - Epoch [255][300/523] lr: 2.776e-03, eta: 3:06:05, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.4129, loss: 2.4129 +2025-06-03 09:30:07,560 - pyskl - INFO - Epoch [255][400/523] lr: 2.753e-03, eta: 3:05:17, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.4082, loss: 2.4082 +2025-06-03 09:30:51,824 - pyskl - INFO - Epoch [255][500/523] lr: 2.730e-03, eta: 3:04:30, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.4461, loss: 2.4461 +2025-06-03 09:31:02,793 - pyskl - INFO - Saving checkpoint at 255 epochs +2025-06-03 09:31:31,265 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:31:31,335 - pyskl - INFO - +top1_acc 0.4692 +top5_acc 0.6580 +2025-06-03 09:31:31,336 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:31:31,344 - pyskl - INFO - +mean_acc 0.4686 +2025-06-03 09:31:31,346 - pyskl - INFO - Epoch(val) [255][198] top1_acc: 0.4692, top5_acc: 0.6580, mean_class_accuracy: 0.4686 +2025-06-03 09:32:40,815 - pyskl - INFO - Epoch [256][100/523] lr: 2.702e-03, eta: 3:03:34, time: 0.695, data_time: 0.261, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.4146, loss: 2.4146 +2025-06-03 09:33:23,759 - pyskl - INFO - Epoch [256][200/523] lr: 2.680e-03, eta: 3:02:46, time: 0.429, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.3439, loss: 2.3439 +2025-06-03 09:34:06,946 - pyskl - INFO - Epoch [256][300/523] lr: 2.657e-03, eta: 3:01:59, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.4113, loss: 2.4113 +2025-06-03 09:34:50,789 - pyskl - INFO - Epoch [256][400/523] lr: 2.635e-03, eta: 3:01:11, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.4748, loss: 2.4748 +2025-06-03 09:35:34,507 - pyskl - INFO - Epoch [256][500/523] lr: 2.613e-03, eta: 3:00:23, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9966, top5_acc: 1.0000, loss_cls: 2.4745, loss: 2.4745 +2025-06-03 09:35:45,256 - pyskl - INFO - Saving checkpoint at 256 epochs +2025-06-03 09:36:13,492 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:36:13,563 - pyskl - INFO - +top1_acc 0.4612 +top5_acc 0.6591 +2025-06-03 09:36:13,563 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:36:13,572 - pyskl - INFO - +mean_acc 0.4606 +2025-06-03 09:36:13,574 - pyskl - INFO - Epoch(val) [256][198] top1_acc: 0.4612, top5_acc: 0.6591, mean_class_accuracy: 0.4606 +2025-06-03 09:37:23,641 - pyskl - INFO - Epoch [257][100/523] lr: 2.585e-03, eta: 2:59:28, time: 0.701, data_time: 0.263, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.3874, loss: 2.3874 +2025-06-03 09:38:07,934 - pyskl - INFO - Epoch [257][200/523] lr: 2.563e-03, eta: 2:58:40, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.3367, loss: 2.3367 +2025-06-03 09:38:52,603 - pyskl - INFO - Epoch [257][300/523] lr: 2.541e-03, eta: 2:57:53, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.4210, loss: 2.4210 +2025-06-03 09:39:37,115 - pyskl - INFO - Epoch [257][400/523] lr: 2.519e-03, eta: 2:57:06, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.3536, loss: 2.3536 +2025-06-03 09:40:21,551 - pyskl - INFO - Epoch [257][500/523] lr: 2.497e-03, eta: 2:56:18, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.3827, loss: 2.3827 +2025-06-03 09:40:32,512 - pyskl - INFO - Saving checkpoint at 257 epochs +2025-06-03 09:41:00,946 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:41:01,017 - pyskl - INFO - +top1_acc 0.4606 +top5_acc 0.6612 +2025-06-03 09:41:01,017 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:41:01,024 - pyskl - INFO - +mean_acc 0.4610 +2025-06-03 09:41:01,026 - pyskl - INFO - Epoch(val) [257][198] top1_acc: 0.4606, top5_acc: 0.6612, mean_class_accuracy: 0.4610 +2025-06-03 09:42:10,848 - pyskl - INFO - Epoch [258][100/523] lr: 2.471e-03, eta: 2:55:22, time: 0.698, data_time: 0.258, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.3769, loss: 2.3769 +2025-06-03 09:42:55,285 - pyskl - INFO - Epoch [258][200/523] lr: 2.449e-03, eta: 2:54:35, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.3374, loss: 2.3374 +2025-06-03 09:43:39,916 - pyskl - INFO - Epoch [258][300/523] lr: 2.427e-03, eta: 2:53:47, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.3816, loss: 2.3816 +2025-06-03 09:44:24,355 - pyskl - INFO - Epoch [258][400/523] lr: 2.406e-03, eta: 2:53:00, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.4195, loss: 2.4195 +2025-06-03 09:45:08,720 - pyskl - INFO - Epoch [258][500/523] lr: 2.384e-03, eta: 2:52:13, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.3900, loss: 2.3900 +2025-06-03 09:45:19,634 - pyskl - INFO - Saving checkpoint at 258 epochs +2025-06-03 09:45:48,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:45:48,127 - pyskl - INFO - +top1_acc 0.4644 +top5_acc 0.6563 +2025-06-03 09:45:48,127 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:45:48,135 - pyskl - INFO - +mean_acc 0.4649 +2025-06-03 09:45:48,137 - pyskl - INFO - Epoch(val) [258][198] top1_acc: 0.4644, top5_acc: 0.6563, mean_class_accuracy: 0.4649 +2025-06-03 09:46:57,053 - pyskl - INFO - Epoch [259][100/523] lr: 2.358e-03, eta: 2:51:17, time: 0.689, data_time: 0.263, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.3785, loss: 2.3785 +2025-06-03 09:47:41,588 - pyskl - INFO - Epoch [259][200/523] lr: 2.337e-03, eta: 2:50:29, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.3513, loss: 2.3513 +2025-06-03 09:48:26,138 - pyskl - INFO - Epoch [259][300/523] lr: 2.316e-03, eta: 2:49:42, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.3543, loss: 2.3543 +2025-06-03 09:49:10,626 - pyskl - INFO - Epoch [259][400/523] lr: 2.295e-03, eta: 2:48:54, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.3818, loss: 2.3818 +2025-06-03 09:49:55,204 - pyskl - INFO - Epoch [259][500/523] lr: 2.274e-03, eta: 2:48:07, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.3893, loss: 2.3893 +2025-06-03 09:50:06,108 - pyskl - INFO - Saving checkpoint at 259 epochs +2025-06-03 09:50:34,723 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:50:34,792 - pyskl - INFO - +top1_acc 0.4698 +top5_acc 0.6575 +2025-06-03 09:50:34,793 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:50:34,800 - pyskl - INFO - +mean_acc 0.4697 +2025-06-03 09:50:34,861 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_253.pth was removed +2025-06-03 09:50:36,500 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_259.pth. +2025-06-03 09:50:36,502 - pyskl - INFO - Best top1_acc is 0.4698 at 259 epoch. +2025-06-03 09:50:36,505 - pyskl - INFO - Epoch(val) [259][198] top1_acc: 0.4698, top5_acc: 0.6575, mean_class_accuracy: 0.4697 +2025-06-03 09:51:46,826 - pyskl - INFO - Epoch [260][100/523] lr: 2.249e-03, eta: 2:47:11, time: 0.703, data_time: 0.262, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.3875, loss: 2.3875 +2025-06-03 09:52:31,233 - pyskl - INFO - Epoch [260][200/523] lr: 2.228e-03, eta: 2:46:24, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.3401, loss: 2.3401 +2025-06-03 09:53:14,249 - pyskl - INFO - Epoch [260][300/523] lr: 2.207e-03, eta: 2:45:36, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.2711, loss: 2.2711 +2025-06-03 09:53:56,820 - pyskl - INFO - Epoch [260][400/523] lr: 2.187e-03, eta: 2:44:49, time: 0.426, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.2922, loss: 2.2922 +2025-06-03 09:54:40,225 - pyskl - INFO - Epoch [260][500/523] lr: 2.166e-03, eta: 2:44:01, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.3934, loss: 2.3934 +2025-06-03 09:54:50,813 - pyskl - INFO - Saving checkpoint at 260 epochs +2025-06-03 09:55:19,365 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:55:19,439 - pyskl - INFO - +top1_acc 0.4693 +top5_acc 0.6594 +2025-06-03 09:55:19,439 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 09:55:19,449 - pyskl - INFO - +mean_acc 0.4702 +2025-06-03 09:55:19,451 - pyskl - INFO - Epoch(val) [260][198] top1_acc: 0.4693, top5_acc: 0.6594, mean_class_accuracy: 0.4702 +2025-06-03 09:56:29,236 - pyskl - INFO - Epoch [261][100/523] lr: 2.141e-03, eta: 2:43:05, time: 0.698, data_time: 0.261, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.3129, loss: 2.3129 +2025-06-03 09:57:13,887 - pyskl - INFO - Epoch [261][200/523] lr: 2.121e-03, eta: 2:42:18, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 0.9997, loss_cls: 2.3200, loss: 2.3200 +2025-06-03 09:57:58,402 - pyskl - INFO - Epoch [261][300/523] lr: 2.101e-03, eta: 2:41:30, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.3381, loss: 2.3381 +2025-06-03 09:58:42,990 - pyskl - INFO - Epoch [261][400/523] lr: 2.081e-03, eta: 2:40:43, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.3861, loss: 2.3861 +2025-06-03 09:59:27,428 - pyskl - INFO - Epoch [261][500/523] lr: 2.061e-03, eta: 2:39:56, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.3619, loss: 2.3619 +2025-06-03 09:59:38,324 - pyskl - INFO - Saving checkpoint at 261 epochs +2025-06-03 10:00:07,333 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:00:07,401 - pyskl - INFO - +top1_acc 0.4739 +top5_acc 0.6626 +2025-06-03 10:00:07,401 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:00:07,408 - pyskl - INFO - +mean_acc 0.4755 +2025-06-03 10:00:07,469 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_259.pth was removed +2025-06-03 10:00:09,089 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_261.pth. +2025-06-03 10:00:09,091 - pyskl - INFO - Best top1_acc is 0.4739 at 261 epoch. +2025-06-03 10:00:09,093 - pyskl - INFO - Epoch(val) [261][198] top1_acc: 0.4739, top5_acc: 0.6626, mean_class_accuracy: 0.4755 +2025-06-03 10:01:18,043 - pyskl - INFO - Epoch [262][100/523] lr: 2.036e-03, eta: 2:38:59, time: 0.689, data_time: 0.257, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.2136, loss: 2.2136 +2025-06-03 10:02:02,485 - pyskl - INFO - Epoch [262][200/523] lr: 2.017e-03, eta: 2:38:12, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.2936, loss: 2.2936 +2025-06-03 10:02:46,784 - pyskl - INFO - Epoch [262][300/523] lr: 1.997e-03, eta: 2:37:25, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.3430, loss: 2.3430 +2025-06-03 10:03:31,056 - pyskl - INFO - Epoch [262][400/523] lr: 1.978e-03, eta: 2:36:37, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.3650, loss: 2.3650 +2025-06-03 10:04:15,412 - pyskl - INFO - Epoch [262][500/523] lr: 1.958e-03, eta: 2:35:50, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.3048, loss: 2.3048 +2025-06-03 10:04:26,400 - pyskl - INFO - Saving checkpoint at 262 epochs +2025-06-03 10:04:54,934 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:04:55,004 - pyskl - INFO - +top1_acc 0.4701 +top5_acc 0.6588 +2025-06-03 10:04:55,005 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:04:55,013 - pyskl - INFO - +mean_acc 0.4704 +2025-06-03 10:04:55,015 - pyskl - INFO - Epoch(val) [262][198] top1_acc: 0.4701, top5_acc: 0.6588, mean_class_accuracy: 0.4704 +2025-06-03 10:06:04,837 - pyskl - INFO - Epoch [263][100/523] lr: 1.934e-03, eta: 2:34:54, time: 0.698, data_time: 0.254, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2857, loss: 2.2857 +2025-06-03 10:06:49,251 - pyskl - INFO - Epoch [263][200/523] lr: 1.915e-03, eta: 2:34:06, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.2669, loss: 2.2669 +2025-06-03 10:07:33,763 - pyskl - INFO - Epoch [263][300/523] lr: 1.896e-03, eta: 2:33:19, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.3018, loss: 2.3018 +2025-06-03 10:08:17,973 - pyskl - INFO - Epoch [263][400/523] lr: 1.877e-03, eta: 2:32:32, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.3192, loss: 2.3192 +2025-06-03 10:09:01,741 - pyskl - INFO - Epoch [263][500/523] lr: 1.858e-03, eta: 2:31:44, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.2942, loss: 2.2942 +2025-06-03 10:09:12,587 - pyskl - INFO - Saving checkpoint at 263 epochs +2025-06-03 10:09:41,265 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:09:41,337 - pyskl - INFO - +top1_acc 0.4608 +top5_acc 0.6558 +2025-06-03 10:09:41,337 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:09:41,345 - pyskl - INFO - +mean_acc 0.4607 +2025-06-03 10:09:41,346 - pyskl - INFO - Epoch(val) [263][198] top1_acc: 0.4608, top5_acc: 0.6558, mean_class_accuracy: 0.4607 +2025-06-03 10:10:51,570 - pyskl - INFO - Epoch [264][100/523] lr: 1.835e-03, eta: 2:30:48, time: 0.702, data_time: 0.260, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.3234, loss: 2.3234 +2025-06-03 10:11:35,547 - pyskl - INFO - Epoch [264][200/523] lr: 1.816e-03, eta: 2:30:01, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.2850, loss: 2.2850 +2025-06-03 10:12:18,761 - pyskl - INFO - Epoch [264][300/523] lr: 1.797e-03, eta: 2:29:13, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.3046, loss: 2.3046 +2025-06-03 10:13:01,729 - pyskl - INFO - Epoch [264][400/523] lr: 1.779e-03, eta: 2:28:26, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.2303, loss: 2.2303 +2025-06-03 10:13:45,503 - pyskl - INFO - Epoch [264][500/523] lr: 1.760e-03, eta: 2:27:38, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.2605, loss: 2.2605 +2025-06-03 10:13:56,423 - pyskl - INFO - Saving checkpoint at 264 epochs +2025-06-03 10:14:25,427 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:14:25,498 - pyskl - INFO - +top1_acc 0.4666 +top5_acc 0.6550 +2025-06-03 10:14:25,499 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:14:25,508 - pyskl - INFO - +mean_acc 0.4657 +2025-06-03 10:14:25,510 - pyskl - INFO - Epoch(val) [264][198] top1_acc: 0.4666, top5_acc: 0.6550, mean_class_accuracy: 0.4657 +2025-06-03 10:15:36,036 - pyskl - INFO - Epoch [265][100/523] lr: 1.737e-03, eta: 2:26:42, time: 0.705, data_time: 0.260, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.3013, loss: 2.3013 +2025-06-03 10:16:20,478 - pyskl - INFO - Epoch [265][200/523] lr: 1.719e-03, eta: 2:25:55, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.2925, loss: 2.2925 +2025-06-03 10:17:05,091 - pyskl - INFO - Epoch [265][300/523] lr: 1.701e-03, eta: 2:25:07, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.2507, loss: 2.2507 +2025-06-03 10:17:49,659 - pyskl - INFO - Epoch [265][400/523] lr: 1.683e-03, eta: 2:24:20, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.3212, loss: 2.3212 +2025-06-03 10:18:34,214 - pyskl - INFO - Epoch [265][500/523] lr: 1.665e-03, eta: 2:23:33, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.2958, loss: 2.2958 +2025-06-03 10:18:45,249 - pyskl - INFO - Saving checkpoint at 265 epochs +2025-06-03 10:19:13,817 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:19:13,889 - pyskl - INFO - +top1_acc 0.4734 +top5_acc 0.6575 +2025-06-03 10:19:13,889 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:19:13,899 - pyskl - INFO - +mean_acc 0.4738 +2025-06-03 10:19:13,901 - pyskl - INFO - Epoch(val) [265][198] top1_acc: 0.4734, top5_acc: 0.6575, mean_class_accuracy: 0.4738 +2025-06-03 10:20:23,640 - pyskl - INFO - Epoch [266][100/523] lr: 1.643e-03, eta: 2:22:37, time: 0.697, data_time: 0.260, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.2612, loss: 2.2612 +2025-06-03 10:21:08,036 - pyskl - INFO - Epoch [266][200/523] lr: 1.625e-03, eta: 2:21:49, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2627, loss: 2.2627 +2025-06-03 10:21:52,545 - pyskl - INFO - Epoch [266][300/523] lr: 1.607e-03, eta: 2:21:02, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2788, loss: 2.2788 +2025-06-03 10:22:37,154 - pyskl - INFO - Epoch [266][400/523] lr: 1.590e-03, eta: 2:20:15, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.2432, loss: 2.2432 +2025-06-03 10:23:20,655 - pyskl - INFO - Epoch [266][500/523] lr: 1.572e-03, eta: 2:19:27, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.2171, loss: 2.2171 +2025-06-03 10:23:31,072 - pyskl - INFO - Saving checkpoint at 266 epochs +2025-06-03 10:23:59,424 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:23:59,496 - pyskl - INFO - +top1_acc 0.4660 +top5_acc 0.6602 +2025-06-03 10:23:59,496 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:23:59,505 - pyskl - INFO - +mean_acc 0.4670 +2025-06-03 10:23:59,507 - pyskl - INFO - Epoch(val) [266][198] top1_acc: 0.4660, top5_acc: 0.6602, mean_class_accuracy: 0.4670 +2025-06-03 10:25:09,467 - pyskl - INFO - Epoch [267][100/523] lr: 1.551e-03, eta: 2:18:31, time: 0.700, data_time: 0.252, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2781, loss: 2.2781 +2025-06-03 10:25:53,912 - pyskl - INFO - Epoch [267][200/523] lr: 1.533e-03, eta: 2:17:44, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.3035, loss: 2.3035 +2025-06-03 10:26:38,322 - pyskl - INFO - Epoch [267][300/523] lr: 1.516e-03, eta: 2:16:56, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.2266, loss: 2.2266 +2025-06-03 10:27:23,100 - pyskl - INFO - Epoch [267][400/523] lr: 1.499e-03, eta: 2:16:09, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.3134, loss: 2.3134 +2025-06-03 10:28:06,490 - pyskl - INFO - Epoch [267][500/523] lr: 1.482e-03, eta: 2:15:22, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.2887, loss: 2.2887 +2025-06-03 10:28:17,259 - pyskl - INFO - Saving checkpoint at 267 epochs +2025-06-03 10:28:45,892 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:28:45,964 - pyskl - INFO - +top1_acc 0.4673 +top5_acc 0.6667 +2025-06-03 10:28:45,964 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:28:45,972 - pyskl - INFO - +mean_acc 0.4672 +2025-06-03 10:28:45,973 - pyskl - INFO - Epoch(val) [267][198] top1_acc: 0.4673, top5_acc: 0.6667, mean_class_accuracy: 0.4672 +2025-06-03 10:29:56,174 - pyskl - INFO - Epoch [268][100/523] lr: 1.461e-03, eta: 2:14:25, time: 0.702, data_time: 0.261, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.1649, loss: 2.1649 +2025-06-03 10:30:40,824 - pyskl - INFO - Epoch [268][200/523] lr: 1.444e-03, eta: 2:13:38, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2179, loss: 2.2179 +2025-06-03 10:31:25,161 - pyskl - INFO - Epoch [268][300/523] lr: 1.428e-03, eta: 2:12:51, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.2704, loss: 2.2704 +2025-06-03 10:32:09,578 - pyskl - INFO - Epoch [268][400/523] lr: 1.411e-03, eta: 2:12:03, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9972, top5_acc: 1.0000, loss_cls: 2.1861, loss: 2.1861 +2025-06-03 10:32:54,258 - pyskl - INFO - Epoch [268][500/523] lr: 1.395e-03, eta: 2:11:16, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2167, loss: 2.2167 +2025-06-03 10:33:05,233 - pyskl - INFO - Saving checkpoint at 268 epochs +2025-06-03 10:33:33,651 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:33:33,725 - pyskl - INFO - +top1_acc 0.4726 +top5_acc 0.6628 +2025-06-03 10:33:33,725 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:33:33,735 - pyskl - INFO - +mean_acc 0.4726 +2025-06-03 10:33:33,737 - pyskl - INFO - Epoch(val) [268][198] top1_acc: 0.4726, top5_acc: 0.6628, mean_class_accuracy: 0.4726 +2025-06-03 10:34:43,767 - pyskl - INFO - Epoch [269][100/523] lr: 1.374e-03, eta: 2:10:20, time: 0.700, data_time: 0.250, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2194, loss: 2.2194 +2025-06-03 10:35:28,035 - pyskl - INFO - Epoch [269][200/523] lr: 1.358e-03, eta: 2:09:32, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.2115, loss: 2.2115 +2025-06-03 10:36:12,354 - pyskl - INFO - Epoch [269][300/523] lr: 1.342e-03, eta: 2:08:45, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2395, loss: 2.2395 +2025-06-03 10:36:56,860 - pyskl - INFO - Epoch [269][400/523] lr: 1.326e-03, eta: 2:07:58, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.1966, loss: 2.1966 +2025-06-03 10:37:40,735 - pyskl - INFO - Epoch [269][500/523] lr: 1.310e-03, eta: 2:07:10, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.2516, loss: 2.2516 +2025-06-03 10:37:51,567 - pyskl - INFO - Saving checkpoint at 269 epochs +2025-06-03 10:38:20,109 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:38:20,180 - pyskl - INFO - +top1_acc 0.4725 +top5_acc 0.6624 +2025-06-03 10:38:20,181 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:38:20,190 - pyskl - INFO - +mean_acc 0.4730 +2025-06-03 10:38:20,192 - pyskl - INFO - Epoch(val) [269][198] top1_acc: 0.4725, top5_acc: 0.6624, mean_class_accuracy: 0.4730 +2025-06-03 10:39:30,223 - pyskl - INFO - Epoch [270][100/523] lr: 1.290e-03, eta: 2:06:14, time: 0.700, data_time: 0.260, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.2620, loss: 2.2620 +2025-06-03 10:40:14,253 - pyskl - INFO - Epoch [270][200/523] lr: 1.274e-03, eta: 2:05:27, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.2422, loss: 2.2422 +2025-06-03 10:40:58,170 - pyskl - INFO - Epoch [270][300/523] lr: 1.258e-03, eta: 2:04:39, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.2239, loss: 2.2239 +2025-06-03 10:41:42,022 - pyskl - INFO - Epoch [270][400/523] lr: 1.243e-03, eta: 2:03:52, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.2122, loss: 2.2122 +2025-06-03 10:42:25,052 - pyskl - INFO - Epoch [270][500/523] lr: 1.227e-03, eta: 2:03:04, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.2606, loss: 2.2606 +2025-06-03 10:42:35,845 - pyskl - INFO - Saving checkpoint at 270 epochs +2025-06-03 10:43:05,019 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:43:05,090 - pyskl - INFO - +top1_acc 0.4688 +top5_acc 0.6577 +2025-06-03 10:43:05,090 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:43:05,098 - pyskl - INFO - +mean_acc 0.4696 +2025-06-03 10:43:05,100 - pyskl - INFO - Epoch(val) [270][198] top1_acc: 0.4688, top5_acc: 0.6577, mean_class_accuracy: 0.4696 +2025-06-03 10:44:15,093 - pyskl - INFO - Epoch [271][100/523] lr: 1.208e-03, eta: 2:02:08, time: 0.700, data_time: 0.264, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1304, loss: 2.1304 +2025-06-03 10:44:59,466 - pyskl - INFO - Epoch [271][200/523] lr: 1.193e-03, eta: 2:01:21, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.2274, loss: 2.2274 +2025-06-03 10:45:43,905 - pyskl - INFO - Epoch [271][300/523] lr: 1.178e-03, eta: 2:00:33, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9984, top5_acc: 1.0000, loss_cls: 2.2354, loss: 2.2354 +2025-06-03 10:46:28,338 - pyskl - INFO - Epoch [271][400/523] lr: 1.163e-03, eta: 1:59:46, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.2090, loss: 2.2090 +2025-06-03 10:47:12,547 - pyskl - INFO - Epoch [271][500/523] lr: 1.148e-03, eta: 1:58:59, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.2145, loss: 2.2145 +2025-06-03 10:47:23,045 - pyskl - INFO - Saving checkpoint at 271 epochs +2025-06-03 10:47:51,566 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:47:51,639 - pyskl - INFO - +top1_acc 0.4687 +top5_acc 0.6658 +2025-06-03 10:47:51,639 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:47:51,649 - pyskl - INFO - +mean_acc 0.4694 +2025-06-03 10:47:51,651 - pyskl - INFO - Epoch(val) [271][198] top1_acc: 0.4687, top5_acc: 0.6658, mean_class_accuracy: 0.4694 +2025-06-03 10:49:01,674 - pyskl - INFO - Epoch [272][100/523] lr: 1.129e-03, eta: 1:58:02, time: 0.700, data_time: 0.260, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.1979, loss: 2.1979 +2025-06-03 10:49:46,091 - pyskl - INFO - Epoch [272][200/523] lr: 1.114e-03, eta: 1:57:15, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2419, loss: 2.2419 +2025-06-03 10:50:30,091 - pyskl - INFO - Epoch [272][300/523] lr: 1.100e-03, eta: 1:56:28, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2120, loss: 2.2120 +2025-06-03 10:51:14,404 - pyskl - INFO - Epoch [272][400/523] lr: 1.085e-03, eta: 1:55:40, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1528, loss: 2.1528 +2025-06-03 10:51:58,896 - pyskl - INFO - Epoch [272][500/523] lr: 1.070e-03, eta: 1:54:53, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2187, loss: 2.2187 +2025-06-03 10:52:09,535 - pyskl - INFO - Saving checkpoint at 272 epochs +2025-06-03 10:52:38,032 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:52:38,109 - pyskl - INFO - +top1_acc 0.4646 +top5_acc 0.6658 +2025-06-03 10:52:38,109 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:52:38,120 - pyskl - INFO - +mean_acc 0.4649 +2025-06-03 10:52:38,123 - pyskl - INFO - Epoch(val) [272][198] top1_acc: 0.4646, top5_acc: 0.6658, mean_class_accuracy: 0.4649 +2025-06-03 10:53:48,742 - pyskl - INFO - Epoch [273][100/523] lr: 1.053e-03, eta: 1:53:57, time: 0.706, data_time: 0.259, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1552, loss: 2.1552 +2025-06-03 10:54:33,326 - pyskl - INFO - Epoch [273][200/523] lr: 1.038e-03, eta: 1:53:09, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 0.9997, loss_cls: 2.1473, loss: 2.1473 +2025-06-03 10:55:18,121 - pyskl - INFO - Epoch [273][300/523] lr: 1.024e-03, eta: 1:52:22, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.1592, loss: 2.1592 +2025-06-03 10:56:03,130 - pyskl - INFO - Epoch [273][400/523] lr: 1.010e-03, eta: 1:51:35, time: 0.450, data_time: 0.000, memory: 7964, top1_acc: 0.9978, top5_acc: 1.0000, loss_cls: 2.2596, loss: 2.2596 +2025-06-03 10:56:46,193 - pyskl - INFO - Epoch [273][500/523] lr: 9.960e-04, eta: 1:50:48, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1923, loss: 2.1923 +2025-06-03 10:56:56,725 - pyskl - INFO - Saving checkpoint at 273 epochs +2025-06-03 10:57:25,658 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:57:25,734 - pyskl - INFO - +top1_acc 0.4676 +top5_acc 0.6645 +2025-06-03 10:57:25,734 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 10:57:25,744 - pyskl - INFO - +mean_acc 0.4678 +2025-06-03 10:57:25,747 - pyskl - INFO - Epoch(val) [273][198] top1_acc: 0.4676, top5_acc: 0.6645, mean_class_accuracy: 0.4678 +2025-06-03 10:58:36,007 - pyskl - INFO - Epoch [274][100/523] lr: 9.789e-04, eta: 1:49:51, time: 0.703, data_time: 0.260, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1346, loss: 2.1346 +2025-06-03 10:59:20,609 - pyskl - INFO - Epoch [274][200/523] lr: 9.651e-04, eta: 1:49:04, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.2189, loss: 2.2189 +2025-06-03 11:00:04,754 - pyskl - INFO - Epoch [274][300/523] lr: 9.513e-04, eta: 1:48:16, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 0.9997, loss_cls: 2.1545, loss: 2.1545 +2025-06-03 11:00:48,919 - pyskl - INFO - Epoch [274][400/523] lr: 9.377e-04, eta: 1:47:29, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.1262, loss: 2.1262 +2025-06-03 11:01:32,322 - pyskl - INFO - Epoch [274][500/523] lr: 9.242e-04, eta: 1:46:42, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1813, loss: 2.1813 +2025-06-03 11:01:43,011 - pyskl - INFO - Saving checkpoint at 274 epochs +2025-06-03 11:02:11,622 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:02:11,693 - pyskl - INFO - +top1_acc 0.4692 +top5_acc 0.6628 +2025-06-03 11:02:11,693 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:02:11,704 - pyskl - INFO - +mean_acc 0.4702 +2025-06-03 11:02:11,706 - pyskl - INFO - Epoch(val) [274][198] top1_acc: 0.4692, top5_acc: 0.6628, mean_class_accuracy: 0.4702 +2025-06-03 11:03:21,865 - pyskl - INFO - Epoch [275][100/523] lr: 9.077e-04, eta: 1:45:45, time: 0.702, data_time: 0.256, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1852, loss: 2.1852 +2025-06-03 11:04:06,314 - pyskl - INFO - Epoch [275][200/523] lr: 8.943e-04, eta: 1:44:58, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1768, loss: 2.1768 +2025-06-03 11:04:50,496 - pyskl - INFO - Epoch [275][300/523] lr: 8.811e-04, eta: 1:44:11, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1934, loss: 2.1934 +2025-06-03 11:05:35,000 - pyskl - INFO - Epoch [275][400/523] lr: 8.680e-04, eta: 1:43:23, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1743, loss: 2.1743 +2025-06-03 11:06:19,497 - pyskl - INFO - Epoch [275][500/523] lr: 8.550e-04, eta: 1:42:36, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1991, loss: 2.1991 +2025-06-03 11:06:30,334 - pyskl - INFO - Saving checkpoint at 275 epochs +2025-06-03 11:06:58,934 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:06:59,003 - pyskl - INFO - +top1_acc 0.4742 +top5_acc 0.6662 +2025-06-03 11:06:59,004 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:06:59,011 - pyskl - INFO - +mean_acc 0.4748 +2025-06-03 11:06:59,080 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_261.pth was removed +2025-06-03 11:07:00,631 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_275.pth. +2025-06-03 11:07:00,633 - pyskl - INFO - Best top1_acc is 0.4742 at 275 epoch. +2025-06-03 11:07:00,635 - pyskl - INFO - Epoch(val) [275][198] top1_acc: 0.4742, top5_acc: 0.6662, mean_class_accuracy: 0.4748 +2025-06-03 11:08:09,993 - pyskl - INFO - Epoch [276][100/523] lr: 8.391e-04, eta: 1:41:39, time: 0.694, data_time: 0.258, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.2023, loss: 2.2023 +2025-06-03 11:08:54,076 - pyskl - INFO - Epoch [276][200/523] lr: 8.263e-04, eta: 1:40:52, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1490, loss: 2.1490 +2025-06-03 11:09:38,355 - pyskl - INFO - Epoch [276][300/523] lr: 8.135e-04, eta: 1:40:05, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1121, loss: 2.1121 +2025-06-03 11:10:22,746 - pyskl - INFO - Epoch [276][400/523] lr: 8.009e-04, eta: 1:39:18, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0935, loss: 2.0935 +2025-06-03 11:11:06,728 - pyskl - INFO - Epoch [276][500/523] lr: 7.884e-04, eta: 1:38:30, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1569, loss: 2.1569 +2025-06-03 11:11:17,591 - pyskl - INFO - Saving checkpoint at 276 epochs +2025-06-03 11:11:46,118 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:11:46,186 - pyskl - INFO - +top1_acc 0.4738 +top5_acc 0.6647 +2025-06-03 11:11:46,187 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:11:46,194 - pyskl - INFO - +mean_acc 0.4734 +2025-06-03 11:11:46,196 - pyskl - INFO - Epoch(val) [276][198] top1_acc: 0.4738, top5_acc: 0.6647, mean_class_accuracy: 0.4734 +2025-06-03 11:12:56,560 - pyskl - INFO - Epoch [277][100/523] lr: 7.731e-04, eta: 1:37:34, time: 0.704, data_time: 0.258, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1616, loss: 2.1616 +2025-06-03 11:13:41,167 - pyskl - INFO - Epoch [277][200/523] lr: 7.608e-04, eta: 1:36:46, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1449, loss: 2.1449 +2025-06-03 11:14:25,878 - pyskl - INFO - Epoch [277][300/523] lr: 7.486e-04, eta: 1:35:59, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0677, loss: 2.0677 +2025-06-03 11:15:10,099 - pyskl - INFO - Epoch [277][400/523] lr: 7.365e-04, eta: 1:35:12, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1296, loss: 2.1296 +2025-06-03 11:15:54,295 - pyskl - INFO - Epoch [277][500/523] lr: 7.245e-04, eta: 1:34:25, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.1517, loss: 2.1517 +2025-06-03 11:16:05,168 - pyskl - INFO - Saving checkpoint at 277 epochs +2025-06-03 11:16:33,406 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:16:33,479 - pyskl - INFO - +top1_acc 0.4758 +top5_acc 0.6613 +2025-06-03 11:16:33,480 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:16:33,488 - pyskl - INFO - +mean_acc 0.4759 +2025-06-03 11:16:33,545 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_275.pth was removed +2025-06-03 11:16:35,148 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_277.pth. +2025-06-03 11:16:35,150 - pyskl - INFO - Best top1_acc is 0.4758 at 277 epoch. +2025-06-03 11:16:35,153 - pyskl - INFO - Epoch(val) [277][198] top1_acc: 0.4758, top5_acc: 0.6613, mean_class_accuracy: 0.4759 +2025-06-03 11:17:44,158 - pyskl - INFO - Epoch [278][100/523] lr: 7.099e-04, eta: 1:33:28, time: 0.690, data_time: 0.251, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1157, loss: 2.1157 +2025-06-03 11:18:28,612 - pyskl - INFO - Epoch [278][200/523] lr: 6.981e-04, eta: 1:32:41, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1128, loss: 2.1128 +2025-06-03 11:19:12,960 - pyskl - INFO - Epoch [278][300/523] lr: 6.864e-04, eta: 1:31:53, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1650, loss: 2.1650 +2025-06-03 11:19:57,201 - pyskl - INFO - Epoch [278][400/523] lr: 6.748e-04, eta: 1:31:06, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1402, loss: 2.1402 +2025-06-03 11:20:41,251 - pyskl - INFO - Epoch [278][500/523] lr: 6.633e-04, eta: 1:30:19, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1702, loss: 2.1702 +2025-06-03 11:20:51,778 - pyskl - INFO - Saving checkpoint at 278 epochs +2025-06-03 11:21:19,961 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:21:20,034 - pyskl - INFO - +top1_acc 0.4707 +top5_acc 0.6624 +2025-06-03 11:21:20,034 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:21:20,043 - pyskl - INFO - +mean_acc 0.4718 +2025-06-03 11:21:20,044 - pyskl - INFO - Epoch(val) [278][198] top1_acc: 0.4707, top5_acc: 0.6624, mean_class_accuracy: 0.4718 +2025-06-03 11:22:29,536 - pyskl - INFO - Epoch [279][100/523] lr: 6.493e-04, eta: 1:29:22, time: 0.695, data_time: 0.255, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1115, loss: 2.1115 +2025-06-03 11:23:13,871 - pyskl - INFO - Epoch [279][200/523] lr: 6.380e-04, eta: 1:28:35, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0915, loss: 2.0915 +2025-06-03 11:23:57,895 - pyskl - INFO - Epoch [279][300/523] lr: 6.268e-04, eta: 1:27:47, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1625, loss: 2.1625 +2025-06-03 11:24:40,968 - pyskl - INFO - Epoch [279][400/523] lr: 6.157e-04, eta: 1:27:00, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0788, loss: 2.0788 +2025-06-03 11:25:25,378 - pyskl - INFO - Epoch [279][500/523] lr: 6.047e-04, eta: 1:26:13, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1282, loss: 2.1282 +2025-06-03 11:25:36,278 - pyskl - INFO - Saving checkpoint at 279 epochs +2025-06-03 11:26:04,434 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:26:04,502 - pyskl - INFO - +top1_acc 0.4720 +top5_acc 0.6616 +2025-06-03 11:26:04,502 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:26:04,510 - pyskl - INFO - +mean_acc 0.4731 +2025-06-03 11:26:04,512 - pyskl - INFO - Epoch(val) [279][198] top1_acc: 0.4720, top5_acc: 0.6616, mean_class_accuracy: 0.4731 +2025-06-03 11:27:14,938 - pyskl - INFO - Epoch [280][100/523] lr: 5.913e-04, eta: 1:25:16, time: 0.704, data_time: 0.257, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1475, loss: 2.1475 +2025-06-03 11:27:59,467 - pyskl - INFO - Epoch [280][200/523] lr: 5.805e-04, eta: 1:24:29, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1748, loss: 2.1748 +2025-06-03 11:28:43,893 - pyskl - INFO - Epoch [280][300/523] lr: 5.699e-04, eta: 1:23:42, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0751, loss: 2.0751 +2025-06-03 11:29:28,515 - pyskl - INFO - Epoch [280][400/523] lr: 5.593e-04, eta: 1:22:55, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1255, loss: 2.1255 +2025-06-03 11:30:12,295 - pyskl - INFO - Epoch [280][500/523] lr: 5.488e-04, eta: 1:22:07, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1755, loss: 2.1755 +2025-06-03 11:30:23,066 - pyskl - INFO - Saving checkpoint at 280 epochs +2025-06-03 11:30:51,216 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:30:51,284 - pyskl - INFO - +top1_acc 0.4696 +top5_acc 0.6620 +2025-06-03 11:30:51,285 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:30:51,291 - pyskl - INFO - +mean_acc 0.4699 +2025-06-03 11:30:51,293 - pyskl - INFO - Epoch(val) [280][198] top1_acc: 0.4696, top5_acc: 0.6620, mean_class_accuracy: 0.4699 +2025-06-03 11:32:01,550 - pyskl - INFO - Epoch [281][100/523] lr: 5.361e-04, eta: 1:21:10, time: 0.703, data_time: 0.253, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0780, loss: 2.0780 +2025-06-03 11:32:46,037 - pyskl - INFO - Epoch [281][200/523] lr: 5.258e-04, eta: 1:20:23, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0767, loss: 2.0767 +2025-06-03 11:33:30,576 - pyskl - INFO - Epoch [281][300/523] lr: 5.156e-04, eta: 1:19:36, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0890, loss: 2.0890 +2025-06-03 11:34:15,430 - pyskl - INFO - Epoch [281][400/523] lr: 5.056e-04, eta: 1:18:49, time: 0.449, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1449, loss: 2.1449 +2025-06-03 11:34:59,604 - pyskl - INFO - Epoch [281][500/523] lr: 4.956e-04, eta: 1:18:02, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1253, loss: 2.1253 +2025-06-03 11:35:10,086 - pyskl - INFO - Saving checkpoint at 281 epochs +2025-06-03 11:35:38,154 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:35:38,222 - pyskl - INFO - +top1_acc 0.4693 +top5_acc 0.6648 +2025-06-03 11:35:38,223 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:35:38,230 - pyskl - INFO - +mean_acc 0.4709 +2025-06-03 11:35:38,231 - pyskl - INFO - Epoch(val) [281][198] top1_acc: 0.4693, top5_acc: 0.6648, mean_class_accuracy: 0.4709 +2025-06-03 11:36:48,327 - pyskl - INFO - Epoch [282][100/523] lr: 4.835e-04, eta: 1:17:05, time: 0.701, data_time: 0.258, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1079, loss: 2.1079 +2025-06-03 11:37:32,741 - pyskl - INFO - Epoch [282][200/523] lr: 4.737e-04, eta: 1:16:17, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1457, loss: 2.1457 +2025-06-03 11:38:17,515 - pyskl - INFO - Epoch [282][300/523] lr: 4.641e-04, eta: 1:15:30, time: 0.448, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0683, loss: 2.0683 +2025-06-03 11:39:02,141 - pyskl - INFO - Epoch [282][400/523] lr: 4.545e-04, eta: 1:14:43, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.1254, loss: 2.1254 +2025-06-03 11:39:45,604 - pyskl - INFO - Epoch [282][500/523] lr: 4.451e-04, eta: 1:13:56, time: 0.435, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0970, loss: 2.0970 +2025-06-03 11:39:56,306 - pyskl - INFO - Saving checkpoint at 282 epochs +2025-06-03 11:40:24,948 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:40:25,024 - pyskl - INFO - +top1_acc 0.4715 +top5_acc 0.6637 +2025-06-03 11:40:25,024 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:40:25,032 - pyskl - INFO - +mean_acc 0.4718 +2025-06-03 11:40:25,033 - pyskl - INFO - Epoch(val) [282][198] top1_acc: 0.4715, top5_acc: 0.6637, mean_class_accuracy: 0.4718 +2025-06-03 11:41:34,589 - pyskl - INFO - Epoch [283][100/523] lr: 4.336e-04, eta: 1:12:59, time: 0.695, data_time: 0.256, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0577, loss: 2.0577 +2025-06-03 11:42:18,470 - pyskl - INFO - Epoch [283][200/523] lr: 4.243e-04, eta: 1:12:12, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1193, loss: 2.1193 +2025-06-03 11:43:02,838 - pyskl - INFO - Epoch [283][300/523] lr: 4.152e-04, eta: 1:11:24, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0467, loss: 2.0467 +2025-06-03 11:43:47,018 - pyskl - INFO - Epoch [283][400/523] lr: 4.062e-04, eta: 1:10:37, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1305, loss: 2.1305 +2025-06-03 11:44:30,818 - pyskl - INFO - Epoch [283][500/523] lr: 3.972e-04, eta: 1:09:50, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 0.9997, loss_cls: 2.1344, loss: 2.1344 +2025-06-03 11:44:41,498 - pyskl - INFO - Saving checkpoint at 283 epochs +2025-06-03 11:45:09,731 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:45:09,802 - pyskl - INFO - +top1_acc 0.4709 +top5_acc 0.6615 +2025-06-03 11:45:09,802 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:45:09,810 - pyskl - INFO - +mean_acc 0.4718 +2025-06-03 11:45:09,811 - pyskl - INFO - Epoch(val) [283][198] top1_acc: 0.4709, top5_acc: 0.6615, mean_class_accuracy: 0.4718 +2025-06-03 11:46:19,991 - pyskl - INFO - Epoch [284][100/523] lr: 3.864e-04, eta: 1:08:53, time: 0.702, data_time: 0.254, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1300, loss: 2.1300 +2025-06-03 11:47:04,725 - pyskl - INFO - Epoch [284][200/523] lr: 3.777e-04, eta: 1:08:06, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0552, loss: 2.0552 +2025-06-03 11:47:48,393 - pyskl - INFO - Epoch [284][300/523] lr: 3.690e-04, eta: 1:07:19, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0455, loss: 2.0455 +2025-06-03 11:48:32,820 - pyskl - INFO - Epoch [284][400/523] lr: 3.605e-04, eta: 1:06:31, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.0811, loss: 2.0811 +2025-06-03 11:49:16,758 - pyskl - INFO - Epoch [284][500/523] lr: 3.521e-04, eta: 1:05:44, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0629, loss: 2.0629 +2025-06-03 11:49:27,286 - pyskl - INFO - Saving checkpoint at 284 epochs +2025-06-03 11:49:55,725 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:49:55,793 - pyskl - INFO - +top1_acc 0.4753 +top5_acc 0.6626 +2025-06-03 11:49:55,793 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:49:55,800 - pyskl - INFO - +mean_acc 0.4758 +2025-06-03 11:49:55,802 - pyskl - INFO - Epoch(val) [284][198] top1_acc: 0.4753, top5_acc: 0.6626, mean_class_accuracy: 0.4758 +2025-06-03 11:51:05,622 - pyskl - INFO - Epoch [285][100/523] lr: 3.419e-04, eta: 1:04:47, time: 0.698, data_time: 0.258, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0925, loss: 2.0925 +2025-06-03 11:51:50,283 - pyskl - INFO - Epoch [285][200/523] lr: 3.337e-04, eta: 1:04:00, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0954, loss: 2.0954 +2025-06-03 11:52:34,146 - pyskl - INFO - Epoch [285][300/523] lr: 3.256e-04, eta: 1:03:13, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0755, loss: 2.0755 +2025-06-03 11:53:18,035 - pyskl - INFO - Epoch [285][400/523] lr: 3.176e-04, eta: 1:02:25, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1141, loss: 2.1141 +2025-06-03 11:54:00,995 - pyskl - INFO - Epoch [285][500/523] lr: 3.097e-04, eta: 1:01:38, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1597, loss: 2.1597 +2025-06-03 11:54:11,826 - pyskl - INFO - Saving checkpoint at 285 epochs +2025-06-03 11:54:40,928 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:54:40,999 - pyskl - INFO - +top1_acc 0.4738 +top5_acc 0.6637 +2025-06-03 11:54:40,999 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:54:41,007 - pyskl - INFO - +mean_acc 0.4751 +2025-06-03 11:54:41,009 - pyskl - INFO - Epoch(val) [285][198] top1_acc: 0.4738, top5_acc: 0.6637, mean_class_accuracy: 0.4751 +2025-06-03 11:55:51,755 - pyskl - INFO - Epoch [286][100/523] lr: 3.001e-04, eta: 1:00:41, time: 0.707, data_time: 0.267, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0833, loss: 2.0833 +2025-06-03 11:56:36,252 - pyskl - INFO - Epoch [286][200/523] lr: 2.924e-04, eta: 0:59:54, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.0869, loss: 2.0869 +2025-06-03 11:57:20,971 - pyskl - INFO - Epoch [286][300/523] lr: 2.848e-04, eta: 0:59:07, time: 0.447, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1218, loss: 2.1218 +2025-06-03 11:58:05,243 - pyskl - INFO - Epoch [286][400/523] lr: 2.773e-04, eta: 0:58:20, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1102, loss: 2.1102 +2025-06-03 11:58:49,258 - pyskl - INFO - Epoch [286][500/523] lr: 2.699e-04, eta: 0:57:33, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1093, loss: 2.1093 +2025-06-03 11:59:00,204 - pyskl - INFO - Saving checkpoint at 286 epochs +2025-06-03 11:59:28,624 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:59:28,694 - pyskl - INFO - +top1_acc 0.4752 +top5_acc 0.6635 +2025-06-03 11:59:28,695 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 11:59:28,702 - pyskl - INFO - +mean_acc 0.4762 +2025-06-03 11:59:28,704 - pyskl - INFO - Epoch(val) [286][198] top1_acc: 0.4752, top5_acc: 0.6635, mean_class_accuracy: 0.4762 +2025-06-03 12:00:38,721 - pyskl - INFO - Epoch [287][100/523] lr: 2.610e-04, eta: 0:56:35, time: 0.700, data_time: 0.262, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.0715, loss: 2.0715 +2025-06-03 12:01:22,679 - pyskl - INFO - Epoch [287][200/523] lr: 2.538e-04, eta: 0:55:48, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0443, loss: 2.0443 +2025-06-03 12:02:06,875 - pyskl - INFO - Epoch [287][300/523] lr: 2.468e-04, eta: 0:55:01, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0768, loss: 2.0768 +2025-06-03 12:02:51,194 - pyskl - INFO - Epoch [287][400/523] lr: 2.398e-04, eta: 0:54:14, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.0848, loss: 2.0848 +2025-06-03 12:03:35,163 - pyskl - INFO - Epoch [287][500/523] lr: 2.329e-04, eta: 0:53:27, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0972, loss: 2.0972 +2025-06-03 12:03:46,029 - pyskl - INFO - Saving checkpoint at 287 epochs +2025-06-03 12:04:14,249 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:04:14,324 - pyskl - INFO - +top1_acc 0.4730 +top5_acc 0.6694 +2025-06-03 12:04:14,325 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:04:14,334 - pyskl - INFO - +mean_acc 0.4740 +2025-06-03 12:04:14,337 - pyskl - INFO - Epoch(val) [287][198] top1_acc: 0.4730, top5_acc: 0.6694, mean_class_accuracy: 0.4740 +2025-06-03 12:05:23,931 - pyskl - INFO - Epoch [288][100/523] lr: 2.246e-04, eta: 0:52:29, time: 0.696, data_time: 0.256, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0956, loss: 2.0956 +2025-06-03 12:06:08,092 - pyskl - INFO - Epoch [288][200/523] lr: 2.180e-04, eta: 0:51:42, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0801, loss: 2.0801 +2025-06-03 12:06:52,645 - pyskl - INFO - Epoch [288][300/523] lr: 2.114e-04, eta: 0:50:55, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0972, loss: 2.0972 +2025-06-03 12:07:35,936 - pyskl - INFO - Epoch [288][400/523] lr: 2.050e-04, eta: 0:50:08, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1045, loss: 2.1045 +2025-06-03 12:08:19,959 - pyskl - INFO - Epoch [288][500/523] lr: 1.986e-04, eta: 0:49:21, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0818, loss: 2.0818 +2025-06-03 12:08:30,886 - pyskl - INFO - Saving checkpoint at 288 epochs +2025-06-03 12:08:59,350 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:08:59,420 - pyskl - INFO - +top1_acc 0.4711 +top5_acc 0.6628 +2025-06-03 12:08:59,420 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:08:59,429 - pyskl - INFO - +mean_acc 0.4717 +2025-06-03 12:08:59,431 - pyskl - INFO - Epoch(val) [288][198] top1_acc: 0.4711, top5_acc: 0.6628, mean_class_accuracy: 0.4717 +2025-06-03 12:10:09,632 - pyskl - INFO - Epoch [289][100/523] lr: 1.910e-04, eta: 0:48:23, time: 0.702, data_time: 0.263, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.1043, loss: 2.1043 +2025-06-03 12:10:53,762 - pyskl - INFO - Epoch [289][200/523] lr: 1.848e-04, eta: 0:47:36, time: 0.441, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0454, loss: 2.0454 +2025-06-03 12:11:37,480 - pyskl - INFO - Epoch [289][300/523] lr: 1.788e-04, eta: 0:46:49, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0509, loss: 2.0509 +2025-06-03 12:12:20,224 - pyskl - INFO - Epoch [289][400/523] lr: 1.729e-04, eta: 0:46:02, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0810, loss: 2.0810 +2025-06-03 12:13:03,952 - pyskl - INFO - Epoch [289][500/523] lr: 1.671e-04, eta: 0:45:15, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.0351, loss: 2.0351 +2025-06-03 12:13:14,867 - pyskl - INFO - Saving checkpoint at 289 epochs +2025-06-03 12:13:43,425 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:13:43,515 - pyskl - INFO - +top1_acc 0.4747 +top5_acc 0.6623 +2025-06-03 12:13:43,515 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:13:43,524 - pyskl - INFO - +mean_acc 0.4751 +2025-06-03 12:13:43,526 - pyskl - INFO - Epoch(val) [289][198] top1_acc: 0.4747, top5_acc: 0.6623, mean_class_accuracy: 0.4751 +2025-06-03 12:14:53,592 - pyskl - INFO - Epoch [290][100/523] lr: 1.600e-04, eta: 0:44:17, time: 0.701, data_time: 0.259, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1118, loss: 2.1118 +2025-06-03 12:15:36,366 - pyskl - INFO - Epoch [290][200/523] lr: 1.544e-04, eta: 0:43:30, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.1212, loss: 2.1212 +2025-06-03 12:16:19,992 - pyskl - INFO - Epoch [290][300/523] lr: 1.489e-04, eta: 0:42:43, time: 0.436, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0958, loss: 2.0958 +2025-06-03 12:17:03,011 - pyskl - INFO - Epoch [290][400/523] lr: 1.435e-04, eta: 0:41:56, time: 0.430, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0785, loss: 2.0785 +2025-06-03 12:17:47,586 - pyskl - INFO - Epoch [290][500/523] lr: 1.382e-04, eta: 0:41:09, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0680, loss: 2.0680 +2025-06-03 12:17:58,586 - pyskl - INFO - Saving checkpoint at 290 epochs +2025-06-03 12:18:26,516 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:18:26,585 - pyskl - INFO - +top1_acc 0.4746 +top5_acc 0.6642 +2025-06-03 12:18:26,585 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:18:26,592 - pyskl - INFO - +mean_acc 0.4756 +2025-06-03 12:18:26,593 - pyskl - INFO - Epoch(val) [290][198] top1_acc: 0.4746, top5_acc: 0.6642, mean_class_accuracy: 0.4756 +2025-06-03 12:19:35,651 - pyskl - INFO - Epoch [291][100/523] lr: 1.318e-04, eta: 0:40:11, time: 0.691, data_time: 0.256, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0933, loss: 2.0933 +2025-06-03 12:20:19,585 - pyskl - INFO - Epoch [291][200/523] lr: 1.267e-04, eta: 0:39:24, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0934, loss: 2.0934 +2025-06-03 12:21:03,816 - pyskl - INFO - Epoch [291][300/523] lr: 1.218e-04, eta: 0:38:37, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0307, loss: 2.0307 +2025-06-03 12:21:46,865 - pyskl - INFO - Epoch [291][400/523] lr: 1.169e-04, eta: 0:37:50, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0878, loss: 2.0878 +2025-06-03 12:22:30,759 - pyskl - INFO - Epoch [291][500/523] lr: 1.121e-04, eta: 0:37:03, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0891, loss: 2.0891 +2025-06-03 12:22:41,708 - pyskl - INFO - Saving checkpoint at 291 epochs +2025-06-03 12:23:09,868 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:23:09,936 - pyskl - INFO - +top1_acc 0.4744 +top5_acc 0.6620 +2025-06-03 12:23:09,936 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:23:09,944 - pyskl - INFO - +mean_acc 0.4750 +2025-06-03 12:23:09,945 - pyskl - INFO - Epoch(val) [291][198] top1_acc: 0.4744, top5_acc: 0.6620, mean_class_accuracy: 0.4750 +2025-06-03 12:24:20,005 - pyskl - INFO - Epoch [292][100/523] lr: 1.063e-04, eta: 0:36:06, time: 0.701, data_time: 0.257, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0911, loss: 2.0911 +2025-06-03 12:25:03,122 - pyskl - INFO - Epoch [292][200/523] lr: 1.018e-04, eta: 0:35:18, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1003, loss: 2.1003 +2025-06-03 12:25:47,425 - pyskl - INFO - Epoch [292][300/523] lr: 9.731e-05, eta: 0:34:31, time: 0.443, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0954, loss: 2.0954 +2025-06-03 12:26:31,198 - pyskl - INFO - Epoch [292][400/523] lr: 9.295e-05, eta: 0:33:44, time: 0.438, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0546, loss: 2.0546 +2025-06-03 12:27:14,594 - pyskl - INFO - Epoch [292][500/523] lr: 8.869e-05, eta: 0:32:57, time: 0.434, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.0010, loss: 2.0010 +2025-06-03 12:27:25,267 - pyskl - INFO - Saving checkpoint at 292 epochs +2025-06-03 12:27:53,548 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:27:53,620 - pyskl - INFO - +top1_acc 0.4741 +top5_acc 0.6647 +2025-06-03 12:27:53,620 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:27:53,628 - pyskl - INFO - +mean_acc 0.4748 +2025-06-03 12:27:53,629 - pyskl - INFO - Epoch(val) [292][198] top1_acc: 0.4741, top5_acc: 0.6647, mean_class_accuracy: 0.4748 +2025-06-03 12:29:02,979 - pyskl - INFO - Epoch [293][100/523] lr: 8.358e-05, eta: 0:32:00, time: 0.693, data_time: 0.256, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0659, loss: 2.0659 +2025-06-03 12:29:46,247 - pyskl - INFO - Epoch [293][200/523] lr: 7.954e-05, eta: 0:31:13, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 0.9997, loss_cls: 2.0263, loss: 2.0263 +2025-06-03 12:30:30,851 - pyskl - INFO - Epoch [293][300/523] lr: 7.560e-05, eta: 0:30:25, time: 0.446, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0371, loss: 2.0371 +2025-06-03 12:31:14,556 - pyskl - INFO - Epoch [293][400/523] lr: 7.176e-05, eta: 0:29:38, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0814, loss: 2.0814 +2025-06-03 12:31:57,762 - pyskl - INFO - Epoch [293][500/523] lr: 6.802e-05, eta: 0:28:51, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0010, loss: 2.0010 +2025-06-03 12:32:08,352 - pyskl - INFO - Saving checkpoint at 293 epochs +2025-06-03 12:32:36,498 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:32:36,571 - pyskl - INFO - +top1_acc 0.4758 +top5_acc 0.6628 +2025-06-03 12:32:36,571 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:32:36,580 - pyskl - INFO - +mean_acc 0.4765 +2025-06-03 12:32:36,581 - pyskl - INFO - Epoch(val) [293][198] top1_acc: 0.4758, top5_acc: 0.6628, mean_class_accuracy: 0.4765 +2025-06-03 12:33:46,294 - pyskl - INFO - Epoch [294][100/523] lr: 6.356e-05, eta: 0:27:54, time: 0.697, data_time: 0.256, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.0798, loss: 2.0798 +2025-06-03 12:34:30,179 - pyskl - INFO - Epoch [294][200/523] lr: 6.004e-05, eta: 0:27:07, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0373, loss: 2.0373 +2025-06-03 12:35:14,723 - pyskl - INFO - Epoch [294][300/523] lr: 5.662e-05, eta: 0:26:20, time: 0.445, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0491, loss: 2.0491 +2025-06-03 12:35:58,612 - pyskl - INFO - Epoch [294][400/523] lr: 5.331e-05, eta: 0:25:32, time: 0.439, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0927, loss: 2.0927 +2025-06-03 12:36:42,810 - pyskl - INFO - Epoch [294][500/523] lr: 5.009e-05, eta: 0:24:45, time: 0.442, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0454, loss: 2.0454 +2025-06-03 12:36:53,382 - pyskl - INFO - Saving checkpoint at 294 epochs +2025-06-03 12:37:22,262 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:37:22,335 - pyskl - INFO - +top1_acc 0.4761 +top5_acc 0.6628 +2025-06-03 12:37:22,336 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:37:22,343 - pyskl - INFO - +mean_acc 0.4772 +2025-06-03 12:37:22,401 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_277.pth was removed +2025-06-03 12:37:24,063 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_294.pth. +2025-06-03 12:37:24,065 - pyskl - INFO - Best top1_acc is 0.4761 at 294 epoch. +2025-06-03 12:37:24,067 - pyskl - INFO - Epoch(val) [294][198] top1_acc: 0.4761, top5_acc: 0.6628, mean_class_accuracy: 0.4772 +2025-06-03 12:38:33,786 - pyskl - INFO - Epoch [295][100/523] lr: 4.627e-05, eta: 0:23:48, time: 0.697, data_time: 0.254, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1024, loss: 2.1024 +2025-06-03 12:39:17,508 - pyskl - INFO - Epoch [295][200/523] lr: 4.328e-05, eta: 0:23:01, time: 0.437, data_time: 0.000, memory: 7964, top1_acc: 0.9991, top5_acc: 1.0000, loss_cls: 2.0542, loss: 2.0542 +2025-06-03 12:40:00,294 - pyskl - INFO - Epoch [295][300/523] lr: 4.038e-05, eta: 0:22:14, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0598, loss: 2.0598 +2025-06-03 12:40:43,011 - pyskl - INFO - Epoch [295][400/523] lr: 3.759e-05, eta: 0:21:27, time: 0.427, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0550, loss: 2.0550 +2025-06-03 12:41:26,295 - pyskl - INFO - Epoch [295][500/523] lr: 3.489e-05, eta: 0:20:39, time: 0.433, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0269, loss: 2.0269 +2025-06-03 12:41:37,092 - pyskl - INFO - Saving checkpoint at 295 epochs +2025-06-03 12:42:05,569 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:42:05,641 - pyskl - INFO - +top1_acc 0.4750 +top5_acc 0.6628 +2025-06-03 12:42:05,641 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:42:05,649 - pyskl - INFO - +mean_acc 0.4754 +2025-06-03 12:42:05,651 - pyskl - INFO - Epoch(val) [295][198] top1_acc: 0.4750, top5_acc: 0.6628, mean_class_accuracy: 0.4754 +2025-06-03 12:43:14,885 - pyskl - INFO - Epoch [296][100/523] lr: 3.172e-05, eta: 0:19:42, time: 0.692, data_time: 0.261, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0678, loss: 2.0678 +2025-06-03 12:43:57,965 - pyskl - INFO - Epoch [296][200/523] lr: 2.925e-05, eta: 0:18:55, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0498, loss: 2.0498 +2025-06-03 12:44:41,142 - pyskl - INFO - Epoch [296][300/523] lr: 2.688e-05, eta: 0:18:08, time: 0.432, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0367, loss: 2.0367 +2025-06-03 12:45:23,956 - pyskl - INFO - Epoch [296][400/523] lr: 2.461e-05, eta: 0:17:21, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0389, loss: 2.0389 +2025-06-03 12:46:08,317 - pyskl - INFO - Epoch [296][500/523] lr: 2.244e-05, eta: 0:16:34, time: 0.444, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0057, loss: 2.0057 +2025-06-03 12:46:19,204 - pyskl - INFO - Saving checkpoint at 296 epochs +2025-06-03 12:46:47,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:46:47,119 - pyskl - INFO - +top1_acc 0.4755 +top5_acc 0.6656 +2025-06-03 12:46:47,119 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:46:47,126 - pyskl - INFO - +mean_acc 0.4759 +2025-06-03 12:46:47,127 - pyskl - INFO - Epoch(val) [296][198] top1_acc: 0.4755, top5_acc: 0.6656, mean_class_accuracy: 0.4759 +2025-06-03 12:47:56,645 - pyskl - INFO - Epoch [297][100/523] lr: 1.990e-05, eta: 0:15:36, time: 0.695, data_time: 0.252, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0583, loss: 2.0583 +2025-06-03 12:48:40,674 - pyskl - INFO - Epoch [297][200/523] lr: 1.796e-05, eta: 0:14:49, time: 0.440, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0556, loss: 2.0556 +2025-06-03 12:49:23,805 - pyskl - INFO - Epoch [297][300/523] lr: 1.611e-05, eta: 0:14:02, time: 0.431, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0559, loss: 2.0559 +2025-06-03 12:50:06,053 - pyskl - INFO - Epoch [297][400/523] lr: 1.436e-05, eta: 0:13:15, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0290, loss: 2.0290 +2025-06-03 12:50:48,232 - pyskl - INFO - Epoch [297][500/523] lr: 1.272e-05, eta: 0:12:28, time: 0.422, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0860, loss: 2.0860 +2025-06-03 12:50:58,602 - pyskl - INFO - Saving checkpoint at 297 epochs +2025-06-03 12:51:26,914 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:51:26,985 - pyskl - INFO - +top1_acc 0.4725 +top5_acc 0.6628 +2025-06-03 12:51:26,985 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:51:26,993 - pyskl - INFO - +mean_acc 0.4726 +2025-06-03 12:51:26,995 - pyskl - INFO - Epoch(val) [297][198] top1_acc: 0.4725, top5_acc: 0.6628, mean_class_accuracy: 0.4726 +2025-06-03 12:52:36,358 - pyskl - INFO - Epoch [298][100/523] lr: 1.083e-05, eta: 0:11:30, time: 0.694, data_time: 0.268, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0873, loss: 2.0873 +2025-06-03 12:53:18,631 - pyskl - INFO - Epoch [298][200/523] lr: 9.405e-06, eta: 0:10:43, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.1418, loss: 2.1418 +2025-06-03 12:54:01,471 - pyskl - INFO - Epoch [298][300/523] lr: 8.083e-06, eta: 0:09:56, time: 0.428, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0725, loss: 2.0725 +2025-06-03 12:54:43,227 - pyskl - INFO - Epoch [298][400/523] lr: 6.860e-06, eta: 0:09:09, time: 0.418, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0428, loss: 2.0428 +2025-06-03 12:55:24,944 - pyskl - INFO - Epoch [298][500/523] lr: 5.737e-06, eta: 0:08:22, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0808, loss: 2.0808 +2025-06-03 12:55:35,190 - pyskl - INFO - Saving checkpoint at 298 epochs +2025-06-03 12:56:02,602 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:56:02,667 - pyskl - INFO - +top1_acc 0.4725 +top5_acc 0.6643 +2025-06-03 12:56:02,668 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 12:56:02,675 - pyskl - INFO - +mean_acc 0.4735 +2025-06-03 12:56:02,676 - pyskl - INFO - Epoch(val) [298][198] top1_acc: 0.4725, top5_acc: 0.6643, mean_class_accuracy: 0.4735 +2025-06-03 12:57:09,450 - pyskl - INFO - Epoch [299][100/523] lr: 4.494e-06, eta: 0:07:24, time: 0.668, data_time: 0.246, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0437, loss: 2.0437 +2025-06-03 12:57:51,179 - pyskl - INFO - Epoch [299][200/523] lr: 3.595e-06, eta: 0:06:37, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0393, loss: 2.0393 +2025-06-03 12:58:32,867 - pyskl - INFO - Epoch [299][300/523] lr: 2.796e-06, eta: 0:05:50, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0470, loss: 2.0470 +2025-06-03 12:59:14,776 - pyskl - INFO - Epoch [299][400/523] lr: 2.098e-06, eta: 0:05:03, time: 0.419, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0270, loss: 2.0270 +2025-06-03 12:59:57,111 - pyskl - INFO - Epoch [299][500/523] lr: 1.499e-06, eta: 0:04:16, time: 0.423, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0219, loss: 2.0219 +2025-06-03 13:00:07,489 - pyskl - INFO - Saving checkpoint at 299 epochs +2025-06-03 13:00:35,945 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 13:00:36,012 - pyskl - INFO - +top1_acc 0.4776 +top5_acc 0.6637 +2025-06-03 13:00:36,012 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 13:00:36,019 - pyskl - INFO - +mean_acc 0.4787 +2025-06-03 13:00:36,078 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv1/b_2/best_top1_acc_epoch_294.pth was removed +2025-06-03 13:00:37,669 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_299.pth. +2025-06-03 13:00:37,671 - pyskl - INFO - Best top1_acc is 0.4776 at 299 epoch. +2025-06-03 13:00:37,675 - pyskl - INFO - Epoch(val) [299][198] top1_acc: 0.4776, top5_acc: 0.6637, mean_class_accuracy: 0.4787 +2025-06-03 13:01:45,505 - pyskl - INFO - Epoch [300][100/523] lr: 9.009e-07, eta: 0:03:18, time: 0.678, data_time: 0.261, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0894, loss: 2.0894 +2025-06-03 13:02:27,105 - pyskl - INFO - Epoch [300][200/523] lr: 5.261e-07, eta: 0:02:31, time: 0.416, data_time: 0.000, memory: 7964, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.0627, loss: 2.0627 +2025-06-03 13:03:08,731 - pyskl - INFO - Epoch [300][300/523] lr: 2.515e-07, eta: 0:01:44, time: 0.416, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0574, loss: 2.0574 +2025-06-03 13:03:50,362 - pyskl - INFO - Epoch [300][400/523] lr: 7.706e-08, eta: 0:00:57, time: 0.416, data_time: 0.000, memory: 7964, top1_acc: 0.9997, top5_acc: 1.0000, loss_cls: 2.0961, loss: 2.0961 +2025-06-03 13:04:32,013 - pyskl - INFO - Epoch [300][500/523] lr: 2.887e-09, eta: 0:00:10, time: 0.417, data_time: 0.000, memory: 7964, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.0357, loss: 2.0357 +2025-06-03 13:04:42,226 - pyskl - INFO - Saving checkpoint at 300 epochs +2025-06-03 13:05:10,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 13:05:10,110 - pyskl - INFO - +top1_acc 0.4768 +top5_acc 0.6661 +2025-06-03 13:05:10,111 - pyskl - INFO - Evaluating mean_class_accuracy ... +2025-06-03 13:05:10,117 - pyskl - INFO - +mean_acc 0.4780 +2025-06-03 13:05:10,118 - pyskl - INFO - Epoch(val) [300][198] top1_acc: 0.4768, top5_acc: 0.6661, mean_class_accuracy: 0.4780 +2025-06-03 13:05:19,870 - pyskl - INFO - 6307 videos remain after valid thresholding +2025-06-03 13:07:05,424 - pyskl - INFO - Testing results of the last checkpoint +2025-06-03 13:07:05,424 - pyskl - INFO - top1_acc: 0.4839 +2025-06-03 13:07:05,424 - pyskl - INFO - top5_acc: 0.6731 +2025-06-03 13:07:05,424 - pyskl - INFO - mean_class_accuracy: 0.4853 +2025-06-03 13:07:05,425 - pyskl - INFO - load checkpoint from local path: ./work_dirs/uav_csv1/b_2/best_top1_acc_epoch_299.pth +2025-06-03 13:08:53,190 - pyskl - INFO - Testing results of the best checkpoint +2025-06-03 13:08:53,191 - pyskl - INFO - top1_acc: 0.4806 +2025-06-03 13:08:53,191 - pyskl - INFO - top5_acc: 0.6721 +2025-06-03 13:08:53,191 - pyskl - INFO - mean_class_accuracy: 0.4814