2025-04-29 05:20:50,086 - pyskl - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] CUDA available: True GPU 0: Tesla V100-PCIE-32GB CUDA_HOME: /usr/local/cuda-11.7 NVCC: Cuda compilation tools, release 11.7, V11.7.64 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 PyTorch: 1.11.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.12.0 OpenCV: 4.8.0 MMCV: 1.5.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.3 pyskl: 0.1.0+ ------------------------------------------------------------ 2025-04-29 05:20:50,376 - pyskl - INFO - Config: modality = 'bm' graph = 'uav' work_dir = './work_dirs/uav_csv2/bm' model = dict( type='RecognizerGCN', backbone=dict( type='GCN_Module_LLM', llm_model='gpt4o', num_classes=155, tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], graph_cfg=dict( layout='uav', mode='random', num_filter=8, init_off=0.04, init_std=0.02)), cls_head=dict( type='SimpleHead', joint_cfg='uav', num_classes=155, in_channels=384, work_dir='./work_dirs/uav_csv2/bm', interval_epoch=10, weight_1=0.2, weight_2=0.5)) dataset_type = 'PoseDataset' ann_file = '/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl' train_pipeline = [ dict(type='UniformSampleFrames', clip_len=100), dict(type='PoseDecode'), dict(type='GenSkeFeat', dataset='uav', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] val_pipeline = [ dict(type='UniformSampleFrames', clip_len=100, num_clips=1), dict(type='PoseDecode'), dict(type='GenSkeFeat', dataset='uav', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] test_pipeline = [ dict(type='UniformSampleFrames', clip_len=100, num_clips=10), dict(type='PoseDecode'), dict(type='GenSkeFeat', dataset='uav', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] data = dict( videos_per_gpu=16, workers_per_gpu=4, test_dataloader=dict(videos_per_gpu=1), train=dict( type='PoseDataset', ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100), dict(type='PoseDecode'), dict(type='GenSkeFeat', dataset='uav', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='train'), val=dict( type='PoseDataset', ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100, num_clips=1), dict(type='PoseDecode'), dict(type='GenSkeFeat', dataset='uav', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='val'), test=dict( type='PoseDataset', ann_file='/data/lhd/pyskl_data/uav/uav_human_CSv2.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100, num_clips=10), dict(type='PoseDecode'), dict(type='GenSkeFeat', dataset='uav', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='val')) optimizer = dict( type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) optimizer_config = dict(grad_clip=None) lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) total_epochs = 150 checkpoint_config = dict(interval=1) evaluation = dict( interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) dist_params = dict(backend='nccl') gpu_ids = range(0, 1) 2025-04-29 05:20:50,376 - pyskl - INFO - Set random seed to 1974421004, deterministic: False 2025-04-29 05:21:02,865 - pyskl - INFO - 16432 videos remain after valid thresholding 2025-04-29 05:21:09,971 - pyskl - INFO - 6599 videos remain after valid thresholding 2025-04-29 05:21:10,015 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/uav_csv2/bm 2025-04-29 05:21:10,016 - 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 -------------------- 2025-04-29 05:21:10,016 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2025-04-29 05:21:10,016 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/uav_csv2/bm by HardDiskBackend. 2025-04-29 05:22:14,026 - pyskl - INFO - Epoch [1][100/1027] lr: 2.500e-02, eta: 1 day, 3:22:16, time: 0.640, data_time: 0.259, memory: 7959, top1_acc: 0.0081, top5_acc: 0.0425, loss_cls: 12.6417, loss: 12.6417 2025-04-29 05:22:51,437 - pyskl - INFO - Epoch [1][200/1027] lr: 2.500e-02, eta: 21:40:14, time: 0.374, data_time: 0.000, memory: 7959, top1_acc: 0.0106, top5_acc: 0.0581, loss_cls: 12.1560, loss: 12.1560 2025-04-29 05:23:29,108 - pyskl - INFO - Epoch [1][300/1027] lr: 2.500e-02, eta: 19:48:01, time: 0.377, data_time: 0.000, memory: 7959, top1_acc: 0.0106, top5_acc: 0.0594, loss_cls: 11.8840, loss: 11.8840 2025-04-29 05:24:06,653 - pyskl - INFO - Epoch [1][400/1027] lr: 2.500e-02, eta: 18:50:47, time: 0.375, data_time: 0.000, memory: 7959, top1_acc: 0.0125, top5_acc: 0.0550, loss_cls: 11.8209, loss: 11.8209 2025-04-29 05:24:47,327 - pyskl - INFO - Epoch [1][500/1027] lr: 2.500e-02, eta: 18:32:13, time: 0.407, data_time: 0.000, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0612, loss_cls: 11.8646, loss: 11.8646 2025-04-29 05:25:30,874 - pyskl - INFO - Epoch [1][600/1027] lr: 2.500e-02, eta: 18:31:52, time: 0.435, data_time: 0.000, memory: 7959, top1_acc: 0.0125, top5_acc: 0.0506, loss_cls: 11.7297, loss: 11.7297 2025-04-29 05:26:15,959 - pyskl - INFO - Epoch [1][700/1027] lr: 2.500e-02, eta: 18:37:01, time: 0.451, data_time: 0.000, memory: 7959, top1_acc: 0.0150, top5_acc: 0.0631, loss_cls: 11.7436, loss: 11.7436 2025-04-29 05:27:01,916 - pyskl - INFO - Epoch [1][800/1027] lr: 2.500e-02, eta: 18:43:28, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.0088, top5_acc: 0.0625, loss_cls: 11.8118, loss: 11.8118 2025-04-29 05:27:47,864 - pyskl - INFO - Epoch [1][900/1027] lr: 2.500e-02, eta: 18:48:18, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.0156, top5_acc: 0.0663, loss_cls: 11.7001, loss: 11.7001 2025-04-29 05:28:34,347 - pyskl - INFO - Epoch [1][1000/1027] lr: 2.500e-02, eta: 18:53:22, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.0125, top5_acc: 0.0625, loss_cls: 11.7240, loss: 11.7240 2025-04-29 05:28:47,834 - pyskl - INFO - Saving checkpoint at 1 epochs 2025-04-29 05:29:26,978 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 05:29:27,017 - pyskl - INFO - top1_acc 0.0050 top5_acc 0.0273 2025-04-29 05:29:27,017 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 05:29:27,024 - pyskl - INFO - mean_acc 0.0064 2025-04-29 05:29:28,692 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2025-04-29 05:29:28,693 - pyskl - INFO - Best top1_acc is 0.0050 at 1 epoch. 2025-04-29 05:29:28,696 - pyskl - INFO - Epoch(val) [1][413] top1_acc: 0.0050, top5_acc: 0.0273, mean_class_accuracy: 0.0064 2025-04-29 05:30:32,784 - pyskl - INFO - Epoch [2][100/1027] lr: 2.500e-02, eta: 19:09:44, time: 0.641, data_time: 0.261, memory: 7959, top1_acc: 0.0119, top5_acc: 0.0569, loss_cls: 11.6523, loss: 11.6523 2025-04-29 05:31:15,416 - pyskl - INFO - Epoch [2][200/1027] lr: 2.500e-02, eta: 19:03:51, time: 0.426, data_time: 0.000, memory: 7959, top1_acc: 0.0169, top5_acc: 0.0625, loss_cls: 11.6703, loss: 11.6703 2025-04-29 05:32:00,989 - pyskl - INFO - Epoch [2][300/1027] lr: 2.500e-02, eta: 19:04:22, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.0100, top5_acc: 0.0644, loss_cls: 11.5674, loss: 11.5674 2025-04-29 05:32:47,070 - pyskl - INFO - Epoch [2][400/1027] lr: 2.499e-02, eta: 19:05:37, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.0106, top5_acc: 0.0619, loss_cls: 11.5570, loss: 11.5570 2025-04-29 05:33:32,661 - pyskl - INFO - Epoch [2][500/1027] lr: 2.499e-02, eta: 19:05:47, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.0131, top5_acc: 0.0712, loss_cls: 11.5457, loss: 11.5457 2025-04-29 05:34:18,781 - pyskl - INFO - Epoch [2][600/1027] lr: 2.499e-02, eta: 19:06:40, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.0100, top5_acc: 0.0625, loss_cls: 11.5197, loss: 11.5197 2025-04-29 05:35:05,813 - pyskl - INFO - Epoch [2][700/1027] lr: 2.499e-02, eta: 19:08:42, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.0138, top5_acc: 0.0669, loss_cls: 11.6079, loss: 11.6079 2025-04-29 05:35:52,665 - pyskl - INFO - Epoch [2][800/1027] lr: 2.499e-02, eta: 19:10:10, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.0100, top5_acc: 0.0706, loss_cls: 11.5844, loss: 11.5844 2025-04-29 05:36:39,416 - pyskl - INFO - Epoch [2][900/1027] lr: 2.499e-02, eta: 19:11:17, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.0169, top5_acc: 0.0762, loss_cls: 11.5883, loss: 11.5883 2025-04-29 05:37:25,940 - pyskl - INFO - Epoch [2][1000/1027] lr: 2.499e-02, eta: 19:11:55, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.0163, top5_acc: 0.0550, loss_cls: 11.5668, loss: 11.5668 2025-04-29 05:37:39,236 - pyskl - INFO - Saving checkpoint at 2 epochs 2025-04-29 05:38:18,631 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 05:38:18,680 - pyskl - INFO - top1_acc 0.0139 top5_acc 0.0677 2025-04-29 05:38:18,680 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 05:38:18,690 - pyskl - INFO - mean_acc 0.0150 2025-04-29 05:38:18,759 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_1.pth was removed 2025-04-29 05:38:20,389 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2025-04-29 05:38:20,390 - pyskl - INFO - Best top1_acc is 0.0139 at 2 epoch. 2025-04-29 05:38:20,393 - pyskl - INFO - Epoch(val) [2][413] top1_acc: 0.0139, top5_acc: 0.0677, mean_class_accuracy: 0.0150 2025-04-29 05:39:24,623 - pyskl - INFO - Epoch [3][100/1027] lr: 2.499e-02, eta: 19:18:34, time: 0.642, data_time: 0.263, memory: 7959, top1_acc: 0.0181, top5_acc: 0.0725, loss_cls: 11.5467, loss: 11.5467 2025-04-29 05:40:08,058 - pyskl - INFO - Epoch [3][200/1027] lr: 2.499e-02, eta: 19:15:12, time: 0.434, data_time: 0.000, memory: 7959, top1_acc: 0.0156, top5_acc: 0.0638, loss_cls: 11.5273, loss: 11.5273 2025-04-29 05:40:54,725 - pyskl - INFO - Epoch [3][300/1027] lr: 2.499e-02, eta: 19:15:31, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.0100, top5_acc: 0.0644, loss_cls: 11.5535, loss: 11.5535 2025-04-29 05:41:41,052 - pyskl - INFO - Epoch [3][400/1027] lr: 2.498e-02, eta: 19:15:23, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0675, loss_cls: 11.5292, loss: 11.5292 2025-04-29 05:42:27,812 - pyskl - INFO - Epoch [3][500/1027] lr: 2.498e-02, eta: 19:15:39, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0631, loss_cls: 11.5365, loss: 11.5365 2025-04-29 05:43:14,883 - pyskl - INFO - Epoch [3][600/1027] lr: 2.498e-02, eta: 19:16:07, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.0187, top5_acc: 0.0831, loss_cls: 11.5252, loss: 11.5252 2025-04-29 05:44:02,300 - pyskl - INFO - Epoch [3][700/1027] lr: 2.498e-02, eta: 19:16:49, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.0175, top5_acc: 0.0794, loss_cls: 11.4497, loss: 11.4497 2025-04-29 05:44:49,118 - pyskl - INFO - Epoch [3][800/1027] lr: 2.498e-02, eta: 19:16:53, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.0175, top5_acc: 0.0938, loss_cls: 11.4874, loss: 11.4874 2025-04-29 05:45:36,447 - pyskl - INFO - Epoch [3][900/1027] lr: 2.498e-02, eta: 19:17:20, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.0131, top5_acc: 0.0813, loss_cls: 11.4512, loss: 11.4512 2025-04-29 05:46:24,293 - pyskl - INFO - Epoch [3][1000/1027] lr: 2.498e-02, eta: 19:18:07, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.0219, top5_acc: 0.0938, loss_cls: 11.4418, loss: 11.4418 2025-04-29 05:46:38,231 - pyskl - INFO - Saving checkpoint at 3 epochs 2025-04-29 05:47:17,326 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 05:47:17,383 - pyskl - INFO - top1_acc 0.0136 top5_acc 0.0705 2025-04-29 05:47:17,383 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 05:47:17,390 - pyskl - INFO - mean_acc 0.0143 2025-04-29 05:47:17,392 - pyskl - INFO - Epoch(val) [3][413] top1_acc: 0.0136, top5_acc: 0.0705, mean_class_accuracy: 0.0143 2025-04-29 05:48:21,319 - pyskl - INFO - Epoch [4][100/1027] lr: 2.497e-02, eta: 19:21:28, time: 0.639, data_time: 0.256, memory: 7959, top1_acc: 0.0200, top5_acc: 0.0800, loss_cls: 11.3812, loss: 11.3812 2025-04-29 05:49:05,113 - pyskl - INFO - Epoch [4][200/1027] lr: 2.497e-02, eta: 19:18:52, time: 0.438, data_time: 0.000, memory: 7959, top1_acc: 0.0138, top5_acc: 0.0819, loss_cls: 11.4485, loss: 11.4485 2025-04-29 05:49:51,207 - pyskl - INFO - Epoch [4][300/1027] lr: 2.497e-02, eta: 19:18:05, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.0156, top5_acc: 0.0875, loss_cls: 11.4409, loss: 11.4409 2025-04-29 05:50:37,167 - pyskl - INFO - Epoch [4][400/1027] lr: 2.497e-02, eta: 19:17:12, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.0144, top5_acc: 0.0794, loss_cls: 11.4153, loss: 11.4153 2025-04-29 05:51:23,257 - pyskl - INFO - Epoch [4][500/1027] lr: 2.497e-02, eta: 19:16:25, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.0194, top5_acc: 0.0956, loss_cls: 11.3641, loss: 11.3641 2025-04-29 05:52:11,611 - pyskl - INFO - Epoch [4][600/1027] lr: 2.496e-02, eta: 19:17:10, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.0181, top5_acc: 0.0906, loss_cls: 11.3358, loss: 11.3358 2025-04-29 05:52:59,034 - pyskl - INFO - Epoch [4][700/1027] lr: 2.496e-02, eta: 19:17:13, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.0238, top5_acc: 0.0950, loss_cls: 11.3364, loss: 11.3364 2025-04-29 05:53:46,784 - pyskl - INFO - Epoch [4][800/1027] lr: 2.496e-02, eta: 19:17:27, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.0225, top5_acc: 0.1075, loss_cls: 11.2185, loss: 11.2185 2025-04-29 05:54:34,403 - pyskl - INFO - Epoch [4][900/1027] lr: 2.496e-02, eta: 19:17:32, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.0256, top5_acc: 0.1194, loss_cls: 11.1926, loss: 11.1926 2025-04-29 05:55:22,026 - pyskl - INFO - Epoch [4][1000/1027] lr: 2.496e-02, eta: 19:17:35, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.0275, top5_acc: 0.1131, loss_cls: 11.1575, loss: 11.1575 2025-04-29 05:55:35,800 - pyskl - INFO - Saving checkpoint at 4 epochs 2025-04-29 05:56:17,892 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 05:56:17,960 - pyskl - INFO - top1_acc 0.0221 top5_acc 0.1165 2025-04-29 05:56:17,960 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 05:56:17,969 - pyskl - INFO - mean_acc 0.0231 2025-04-29 05:56:18,038 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_2.pth was removed 2025-04-29 05:56:19,803 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2025-04-29 05:56:19,805 - pyskl - INFO - Best top1_acc is 0.0221 at 4 epoch. 2025-04-29 05:56:19,809 - pyskl - INFO - Epoch(val) [4][413] top1_acc: 0.0221, top5_acc: 0.1165, mean_class_accuracy: 0.0231 2025-04-29 05:57:26,542 - pyskl - INFO - Epoch [5][100/1027] lr: 2.495e-02, eta: 19:21:18, time: 0.667, data_time: 0.271, memory: 7959, top1_acc: 0.0325, top5_acc: 0.1325, loss_cls: 11.0672, loss: 11.0672 2025-04-29 05:58:13,223 - pyskl - INFO - Epoch [5][200/1027] lr: 2.495e-02, eta: 19:20:38, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.0400, top5_acc: 0.1588, loss_cls: 10.9964, loss: 10.9964 2025-04-29 05:59:02,116 - pyskl - INFO - Epoch [5][300/1027] lr: 2.495e-02, eta: 19:21:12, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.0425, top5_acc: 0.1556, loss_cls: 10.9460, loss: 10.9460 2025-04-29 05:59:51,016 - pyskl - INFO - Epoch [5][400/1027] lr: 2.495e-02, eta: 19:21:44, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.0375, top5_acc: 0.1794, loss_cls: 10.8893, loss: 10.8893 2025-04-29 06:00:40,886 - pyskl - INFO - Epoch [5][500/1027] lr: 2.494e-02, eta: 19:22:43, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.0444, top5_acc: 0.1644, loss_cls: 10.7736, loss: 10.7736 2025-04-29 06:01:29,456 - pyskl - INFO - Epoch [5][600/1027] lr: 2.494e-02, eta: 19:22:56, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.0506, top5_acc: 0.1800, loss_cls: 10.7724, loss: 10.7724 2025-04-29 06:02:17,905 - pyskl - INFO - Epoch [5][700/1027] lr: 2.494e-02, eta: 19:23:03, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.0506, top5_acc: 0.1856, loss_cls: 10.7199, loss: 10.7199 2025-04-29 06:03:05,768 - pyskl - INFO - Epoch [5][800/1027] lr: 2.494e-02, eta: 19:22:49, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.0331, top5_acc: 0.1806, loss_cls: 10.7453, loss: 10.7453 2025-04-29 06:03:54,251 - pyskl - INFO - Epoch [5][900/1027] lr: 2.493e-02, eta: 19:22:53, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.0537, top5_acc: 0.2137, loss_cls: 10.5723, loss: 10.5723 2025-04-29 06:04:44,780 - pyskl - INFO - Epoch [5][1000/1027] lr: 2.493e-02, eta: 19:23:55, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.0456, top5_acc: 0.2037, loss_cls: 10.6885, loss: 10.6885 2025-04-29 06:04:59,528 - pyskl - INFO - Saving checkpoint at 5 epochs 2025-04-29 06:05:40,825 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 06:05:40,897 - pyskl - INFO - top1_acc 0.0567 top5_acc 0.2453 2025-04-29 06:05:40,897 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 06:05:40,906 - pyskl - INFO - mean_acc 0.0590 2025-04-29 06:05:40,967 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_4.pth was removed 2025-04-29 06:05:42,779 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. 2025-04-29 06:05:42,780 - pyskl - INFO - Best top1_acc is 0.0567 at 5 epoch. 2025-04-29 06:05:42,783 - pyskl - INFO - Epoch(val) [5][413] top1_acc: 0.0567, top5_acc: 0.2453, mean_class_accuracy: 0.0590 2025-04-29 06:06:47,926 - pyskl - INFO - Epoch [6][100/1027] lr: 2.493e-02, eta: 19:25:34, time: 0.651, data_time: 0.267, memory: 7959, top1_acc: 0.0638, top5_acc: 0.2331, loss_cls: 10.4147, loss: 10.4147 2025-04-29 06:07:32,214 - pyskl - INFO - Epoch [6][200/1027] lr: 2.493e-02, eta: 19:23:32, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.0663, top5_acc: 0.2406, loss_cls: 10.5166, loss: 10.5166 2025-04-29 06:08:17,915 - pyskl - INFO - Epoch [6][300/1027] lr: 2.492e-02, eta: 19:22:11, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.0594, top5_acc: 0.2362, loss_cls: 10.3861, loss: 10.3861 2025-04-29 06:09:04,320 - pyskl - INFO - Epoch [6][400/1027] lr: 2.492e-02, eta: 19:21:10, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.0606, top5_acc: 0.2612, loss_cls: 10.3647, loss: 10.3647 2025-04-29 06:09:51,015 - pyskl - INFO - Epoch [6][500/1027] lr: 2.492e-02, eta: 19:20:17, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.0706, top5_acc: 0.2412, loss_cls: 10.3217, loss: 10.3217 2025-04-29 06:10:37,782 - pyskl - INFO - Epoch [6][600/1027] lr: 2.491e-02, eta: 19:19:27, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.0737, top5_acc: 0.2681, loss_cls: 10.3921, loss: 10.3921 2025-04-29 06:11:25,157 - pyskl - INFO - Epoch [6][700/1027] lr: 2.491e-02, eta: 19:18:52, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.0806, top5_acc: 0.2750, loss_cls: 10.2597, loss: 10.2597 2025-04-29 06:12:12,502 - pyskl - INFO - Epoch [6][800/1027] lr: 2.491e-02, eta: 19:18:15, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.0806, top5_acc: 0.2938, loss_cls: 10.1741, loss: 10.1741 2025-04-29 06:12:59,427 - pyskl - INFO - Epoch [6][900/1027] lr: 2.491e-02, eta: 19:17:29, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.0894, top5_acc: 0.3137, loss_cls: 10.0313, loss: 10.0313 2025-04-29 06:13:46,421 - pyskl - INFO - Epoch [6][1000/1027] lr: 2.490e-02, eta: 19:16:44, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.0856, top5_acc: 0.3162, loss_cls: 10.0464, loss: 10.0464 2025-04-29 06:14:00,433 - pyskl - INFO - Saving checkpoint at 6 epochs 2025-04-29 06:14:40,140 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 06:14:40,210 - pyskl - INFO - top1_acc 0.1179 top5_acc 0.3863 2025-04-29 06:14:40,211 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 06:14:40,219 - pyskl - INFO - mean_acc 0.1196 2025-04-29 06:14:40,283 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_5.pth was removed 2025-04-29 06:14:41,923 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. 2025-04-29 06:14:41,925 - pyskl - INFO - Best top1_acc is 0.1179 at 6 epoch. 2025-04-29 06:14:41,928 - pyskl - INFO - Epoch(val) [6][413] top1_acc: 0.1179, top5_acc: 0.3863, mean_class_accuracy: 0.1196 2025-04-29 06:15:46,115 - pyskl - INFO - Epoch [7][100/1027] lr: 2.490e-02, eta: 19:17:32, time: 0.642, data_time: 0.262, memory: 7959, top1_acc: 0.0988, top5_acc: 0.3400, loss_cls: 9.9625, loss: 9.9625 2025-04-29 06:16:30,032 - pyskl - INFO - Epoch [7][200/1027] lr: 2.489e-02, eta: 19:15:34, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.0894, top5_acc: 0.3237, loss_cls: 9.9940, loss: 9.9940 2025-04-29 06:17:16,624 - pyskl - INFO - Epoch [7][300/1027] lr: 2.489e-02, eta: 19:14:39, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.0875, top5_acc: 0.3481, loss_cls: 9.9035, loss: 9.9035 2025-04-29 06:18:03,912 - pyskl - INFO - Epoch [7][400/1027] lr: 2.489e-02, eta: 19:14:00, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.1019, top5_acc: 0.3475, loss_cls: 9.8805, loss: 9.8805 2025-04-29 06:18:50,925 - pyskl - INFO - Epoch [7][500/1027] lr: 2.488e-02, eta: 19:13:14, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.1150, top5_acc: 0.3450, loss_cls: 9.9132, loss: 9.9132 2025-04-29 06:19:39,300 - pyskl - INFO - Epoch [7][600/1027] lr: 2.488e-02, eta: 19:12:58, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.1131, top5_acc: 0.3500, loss_cls: 9.8504, loss: 9.8504 2025-04-29 06:20:26,970 - pyskl - INFO - Epoch [7][700/1027] lr: 2.488e-02, eta: 19:12:26, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.1288, top5_acc: 0.3731, loss_cls: 9.8067, loss: 9.8067 2025-04-29 06:21:13,324 - pyskl - INFO - Epoch [7][800/1027] lr: 2.487e-02, eta: 19:11:26, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.1119, top5_acc: 0.3756, loss_cls: 9.7788, loss: 9.7788 2025-04-29 06:22:01,192 - pyskl - INFO - Epoch [7][900/1027] lr: 2.487e-02, eta: 19:10:58, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.1294, top5_acc: 0.3912, loss_cls: 9.6317, loss: 9.6317 2025-04-29 06:22:48,306 - pyskl - INFO - Epoch [7][1000/1027] lr: 2.487e-02, eta: 19:10:14, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.1075, top5_acc: 0.3825, loss_cls: 9.6988, loss: 9.6988 2025-04-29 06:23:01,743 - pyskl - INFO - Saving checkpoint at 7 epochs 2025-04-29 06:23:41,526 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 06:23:41,596 - pyskl - INFO - top1_acc 0.1379 top5_acc 0.4407 2025-04-29 06:23:41,596 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 06:23:41,604 - pyskl - INFO - mean_acc 0.1382 2025-04-29 06:23:41,669 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_6.pth was removed 2025-04-29 06:23:43,301 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. 2025-04-29 06:23:43,302 - pyskl - INFO - Best top1_acc is 0.1379 at 7 epoch. 2025-04-29 06:23:43,305 - pyskl - INFO - Epoch(val) [7][413] top1_acc: 0.1379, top5_acc: 0.4407, mean_class_accuracy: 0.1382 2025-04-29 06:24:47,774 - pyskl - INFO - Epoch [8][100/1027] lr: 2.486e-02, eta: 19:10:50, time: 0.645, data_time: 0.263, memory: 7959, top1_acc: 0.1288, top5_acc: 0.4175, loss_cls: 9.5258, loss: 9.5258 2025-04-29 06:25:31,724 - pyskl - INFO - Epoch [8][200/1027] lr: 2.486e-02, eta: 19:09:02, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.1494, top5_acc: 0.4094, loss_cls: 9.5623, loss: 9.5623 2025-04-29 06:26:17,861 - pyskl - INFO - Epoch [8][300/1027] lr: 2.485e-02, eta: 19:07:58, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.1325, top5_acc: 0.4244, loss_cls: 9.5134, loss: 9.5134 2025-04-29 06:27:05,295 - pyskl - INFO - Epoch [8][400/1027] lr: 2.485e-02, eta: 19:07:19, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.1425, top5_acc: 0.4325, loss_cls: 9.4795, loss: 9.4795 2025-04-29 06:27:53,212 - pyskl - INFO - Epoch [8][500/1027] lr: 2.485e-02, eta: 19:06:50, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.1556, top5_acc: 0.4456, loss_cls: 9.3764, loss: 9.3764 2025-04-29 06:28:39,883 - pyskl - INFO - Epoch [8][600/1027] lr: 2.484e-02, eta: 19:05:56, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.1313, top5_acc: 0.4256, loss_cls: 9.5486, loss: 9.5486 2025-04-29 06:29:27,266 - pyskl - INFO - Epoch [8][700/1027] lr: 2.484e-02, eta: 19:05:16, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.1450, top5_acc: 0.4387, loss_cls: 9.4477, loss: 9.4477 2025-04-29 06:30:15,063 - pyskl - INFO - Epoch [8][800/1027] lr: 2.483e-02, eta: 19:04:43, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.1450, top5_acc: 0.4356, loss_cls: 9.4438, loss: 9.4438 2025-04-29 06:31:01,275 - pyskl - INFO - Epoch [8][900/1027] lr: 2.483e-02, eta: 19:03:42, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.1469, top5_acc: 0.4487, loss_cls: 9.4175, loss: 9.4175 2025-04-29 06:31:48,531 - pyskl - INFO - Epoch [8][1000/1027] lr: 2.483e-02, eta: 19:02:59, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.1481, top5_acc: 0.4306, loss_cls: 9.3295, loss: 9.3295 2025-04-29 06:32:02,132 - pyskl - INFO - Saving checkpoint at 8 epochs 2025-04-29 06:32:42,188 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 06:32:42,259 - pyskl - INFO - top1_acc 0.1787 top5_acc 0.4679 2025-04-29 06:32:42,259 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 06:32:42,267 - pyskl - INFO - mean_acc 0.1786 2025-04-29 06:32:42,331 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_7.pth was removed 2025-04-29 06:32:43,958 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. 2025-04-29 06:32:43,960 - pyskl - INFO - Best top1_acc is 0.1787 at 8 epoch. 2025-04-29 06:32:43,962 - pyskl - INFO - Epoch(val) [8][413] top1_acc: 0.1787, top5_acc: 0.4679, mean_class_accuracy: 0.1786 2025-04-29 06:33:48,611 - pyskl - INFO - Epoch [9][100/1027] lr: 2.482e-02, eta: 19:03:26, time: 0.646, data_time: 0.261, memory: 7959, top1_acc: 0.1775, top5_acc: 0.4494, loss_cls: 9.2513, loss: 9.2513 2025-04-29 06:34:31,687 - pyskl - INFO - Epoch [9][200/1027] lr: 2.482e-02, eta: 19:01:29, time: 0.431, data_time: 0.000, memory: 7959, top1_acc: 0.1650, top5_acc: 0.4694, loss_cls: 9.1712, loss: 9.1712 2025-04-29 06:35:18,377 - pyskl - INFO - Epoch [9][300/1027] lr: 2.481e-02, eta: 19:00:36, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.1650, top5_acc: 0.4919, loss_cls: 9.1544, loss: 9.1544 2025-04-29 06:36:05,340 - pyskl - INFO - Epoch [9][400/1027] lr: 2.481e-02, eta: 18:59:48, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.1731, top5_acc: 0.4688, loss_cls: 9.2048, loss: 9.2048 2025-04-29 06:36:53,087 - pyskl - INFO - Epoch [9][500/1027] lr: 2.480e-02, eta: 18:59:13, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.1750, top5_acc: 0.4950, loss_cls: 9.2131, loss: 9.2131 2025-04-29 06:37:40,108 - pyskl - INFO - Epoch [9][600/1027] lr: 2.480e-02, eta: 18:58:26, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.1625, top5_acc: 0.4775, loss_cls: 9.2418, loss: 9.2418 2025-04-29 06:38:27,653 - pyskl - INFO - Epoch [9][700/1027] lr: 2.479e-02, eta: 18:57:47, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.1944, top5_acc: 0.4825, loss_cls: 9.1335, loss: 9.1335 2025-04-29 06:39:14,127 - pyskl - INFO - Epoch [9][800/1027] lr: 2.479e-02, eta: 18:56:51, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.1837, top5_acc: 0.4900, loss_cls: 9.0970, loss: 9.0970 2025-04-29 06:40:01,178 - pyskl - INFO - Epoch [9][900/1027] lr: 2.478e-02, eta: 18:56:05, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.1869, top5_acc: 0.4769, loss_cls: 9.1611, loss: 9.1611 2025-04-29 06:40:49,302 - pyskl - INFO - Epoch [9][1000/1027] lr: 2.478e-02, eta: 18:55:35, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.1762, top5_acc: 0.5056, loss_cls: 9.0692, loss: 9.0692 2025-04-29 06:41:03,226 - pyskl - INFO - Saving checkpoint at 9 epochs 2025-04-29 06:41:43,072 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 06:41:43,149 - pyskl - INFO - top1_acc 0.2505 top5_acc 0.6125 2025-04-29 06:41:43,150 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 06:41:43,160 - pyskl - INFO - mean_acc 0.2499 2025-04-29 06:41:43,223 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_8.pth was removed 2025-04-29 06:41:44,994 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. 2025-04-29 06:41:44,996 - pyskl - INFO - Best top1_acc is 0.2505 at 9 epoch. 2025-04-29 06:41:45,000 - pyskl - INFO - Epoch(val) [9][413] top1_acc: 0.2505, top5_acc: 0.6125, mean_class_accuracy: 0.2499 2025-04-29 06:42:48,885 - pyskl - INFO - Epoch [10][100/1027] lr: 2.477e-02, eta: 18:55:39, time: 0.639, data_time: 0.261, memory: 7959, top1_acc: 0.2013, top5_acc: 0.5238, loss_cls: 8.8362, loss: 8.8362 2025-04-29 06:43:32,460 - pyskl - INFO - Epoch [10][200/1027] lr: 2.477e-02, eta: 18:53:58, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.1938, top5_acc: 0.5125, loss_cls: 9.0490, loss: 9.0490 2025-04-29 06:44:18,465 - pyskl - INFO - Epoch [10][300/1027] lr: 2.476e-02, eta: 18:52:55, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.2013, top5_acc: 0.5175, loss_cls: 8.9354, loss: 8.9354 2025-04-29 06:45:05,960 - pyskl - INFO - Epoch [10][400/1027] lr: 2.476e-02, eta: 18:52:15, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.2106, top5_acc: 0.5281, loss_cls: 8.8336, loss: 8.8336 2025-04-29 06:45:53,283 - pyskl - INFO - Epoch [10][500/1027] lr: 2.475e-02, eta: 18:51:32, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.1969, top5_acc: 0.5175, loss_cls: 8.9961, loss: 8.9961 2025-04-29 06:46:40,677 - pyskl - INFO - Epoch [10][600/1027] lr: 2.475e-02, eta: 18:50:50, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.2013, top5_acc: 0.5181, loss_cls: 8.9942, loss: 8.9942 2025-04-29 06:47:27,799 - pyskl - INFO - Epoch [10][700/1027] lr: 2.474e-02, eta: 18:50:04, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.1888, top5_acc: 0.5275, loss_cls: 8.9924, loss: 8.9924 2025-04-29 06:48:15,205 - pyskl - INFO - Epoch [10][800/1027] lr: 2.474e-02, eta: 18:49:22, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.1950, top5_acc: 0.5088, loss_cls: 8.9942, loss: 8.9942 2025-04-29 06:49:03,213 - pyskl - INFO - Epoch [10][900/1027] lr: 2.473e-02, eta: 18:48:48, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.2238, top5_acc: 0.5288, loss_cls: 8.8440, loss: 8.8440 2025-04-29 06:49:50,933 - pyskl - INFO - Epoch [10][1000/1027] lr: 2.473e-02, eta: 18:48:11, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.2169, top5_acc: 0.5400, loss_cls: 8.7825, loss: 8.7825 2025-04-29 06:50:04,556 - pyskl - INFO - Saving checkpoint at 10 epochs 2025-04-29 06:50:44,455 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 06:50:44,527 - pyskl - INFO - top1_acc 0.2653 top5_acc 0.6357 2025-04-29 06:50:44,527 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 06:50:44,534 - pyskl - INFO - mean_acc 0.2665 2025-04-29 06:50:44,598 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_9.pth was removed 2025-04-29 06:50:46,228 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. 2025-04-29 06:50:46,231 - pyskl - INFO - Best top1_acc is 0.2653 at 10 epoch. 2025-04-29 06:50:46,235 - pyskl - INFO - Epoch(val) [10][413] top1_acc: 0.2653, top5_acc: 0.6357, mean_class_accuracy: 0.2665 2025-04-29 06:51:50,117 - pyskl - INFO - Epoch [11][100/1027] lr: 2.472e-02, eta: 18:48:08, time: 0.639, data_time: 0.255, memory: 7959, top1_acc: 0.2250, top5_acc: 0.5375, loss_cls: 8.7373, loss: 8.7373 2025-04-29 06:52:34,045 - pyskl - INFO - Epoch [11][200/1027] lr: 2.472e-02, eta: 18:46:37, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.2375, top5_acc: 0.5387, loss_cls: 8.8103, loss: 8.8103 2025-04-29 06:53:19,029 - pyskl - INFO - Epoch [11][300/1027] lr: 2.471e-02, eta: 18:45:21, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.2319, top5_acc: 0.5425, loss_cls: 8.7568, loss: 8.7568 2025-04-29 06:54:07,145 - pyskl - INFO - Epoch [11][400/1027] lr: 2.471e-02, eta: 18:44:48, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.2131, top5_acc: 0.5288, loss_cls: 8.8208, loss: 8.8208 2025-04-29 06:54:56,241 - pyskl - INFO - Epoch [11][500/1027] lr: 2.470e-02, eta: 18:44:28, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.2300, top5_acc: 0.5563, loss_cls: 8.7712, loss: 8.7712 2025-04-29 06:55:46,297 - pyskl - INFO - Epoch [11][600/1027] lr: 2.469e-02, eta: 18:44:20, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.2263, top5_acc: 0.5344, loss_cls: 8.7960, loss: 8.7960 2025-04-29 06:56:36,128 - pyskl - INFO - Epoch [11][700/1027] lr: 2.469e-02, eta: 18:44:08, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.2175, top5_acc: 0.5475, loss_cls: 8.6953, loss: 8.6953 2025-04-29 06:57:26,180 - pyskl - INFO - Epoch [11][800/1027] lr: 2.468e-02, eta: 18:43:59, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.2288, top5_acc: 0.5450, loss_cls: 8.7682, loss: 8.7682 2025-04-29 06:58:17,133 - pyskl - INFO - Epoch [11][900/1027] lr: 2.468e-02, eta: 18:44:00, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.2475, top5_acc: 0.5825, loss_cls: 8.6368, loss: 8.6368 2025-04-29 06:59:06,784 - pyskl - INFO - Epoch [11][1000/1027] lr: 2.467e-02, eta: 18:43:44, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.2356, top5_acc: 0.5394, loss_cls: 8.7700, loss: 8.7700 2025-04-29 06:59:21,134 - pyskl - INFO - Saving checkpoint at 11 epochs 2025-04-29 07:00:02,157 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 07:00:02,229 - pyskl - INFO - top1_acc 0.2688 top5_acc 0.6089 2025-04-29 07:00:02,229 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 07:00:02,237 - pyskl - INFO - mean_acc 0.2711 2025-04-29 07:00:02,300 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_10.pth was removed 2025-04-29 07:00:03,912 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. 2025-04-29 07:00:03,914 - pyskl - INFO - Best top1_acc is 0.2688 at 11 epoch. 2025-04-29 07:00:03,917 - pyskl - INFO - Epoch(val) [11][413] top1_acc: 0.2688, top5_acc: 0.6089, mean_class_accuracy: 0.2711 2025-04-29 07:01:08,719 - pyskl - INFO - Epoch [12][100/1027] lr: 2.466e-02, eta: 18:43:44, time: 0.648, data_time: 0.260, memory: 7959, top1_acc: 0.2469, top5_acc: 0.5750, loss_cls: 8.5609, loss: 8.5609 2025-04-29 07:01:52,895 - pyskl - INFO - Epoch [12][200/1027] lr: 2.466e-02, eta: 18:42:19, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.2475, top5_acc: 0.5825, loss_cls: 8.5624, loss: 8.5624 2025-04-29 07:02:38,849 - pyskl - INFO - Epoch [12][300/1027] lr: 2.465e-02, eta: 18:41:16, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.2575, top5_acc: 0.5850, loss_cls: 8.5787, loss: 8.5787 2025-04-29 07:03:26,132 - pyskl - INFO - Epoch [12][400/1027] lr: 2.465e-02, eta: 18:40:29, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.2562, top5_acc: 0.5775, loss_cls: 8.5704, loss: 8.5704 2025-04-29 07:04:13,583 - pyskl - INFO - Epoch [12][500/1027] lr: 2.464e-02, eta: 18:39:45, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.2394, top5_acc: 0.5513, loss_cls: 8.7230, loss: 8.7230 2025-04-29 07:05:01,886 - pyskl - INFO - Epoch [12][600/1027] lr: 2.463e-02, eta: 18:39:10, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.2512, top5_acc: 0.5569, loss_cls: 8.6567, loss: 8.6567 2025-04-29 07:05:50,736 - pyskl - INFO - Epoch [12][700/1027] lr: 2.463e-02, eta: 18:38:42, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.2550, top5_acc: 0.5787, loss_cls: 8.5179, loss: 8.5179 2025-04-29 07:06:40,061 - pyskl - INFO - Epoch [12][800/1027] lr: 2.462e-02, eta: 18:38:19, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.2619, top5_acc: 0.5906, loss_cls: 8.4177, loss: 8.4177 2025-04-29 07:07:28,455 - pyskl - INFO - Epoch [12][900/1027] lr: 2.462e-02, eta: 18:37:45, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.2581, top5_acc: 0.5856, loss_cls: 8.5658, loss: 8.5658 2025-04-29 07:08:16,526 - pyskl - INFO - Epoch [12][1000/1027] lr: 2.461e-02, eta: 18:37:07, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.2625, top5_acc: 0.5681, loss_cls: 8.5592, loss: 8.5592 2025-04-29 07:08:29,924 - pyskl - INFO - Saving checkpoint at 12 epochs 2025-04-29 07:09:09,326 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 07:09:09,397 - pyskl - INFO - top1_acc 0.2875 top5_acc 0.6504 2025-04-29 07:09:09,397 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 07:09:09,405 - pyskl - INFO - mean_acc 0.2878 2025-04-29 07:09:09,472 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_11.pth was removed 2025-04-29 07:09:11,107 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. 2025-04-29 07:09:11,109 - pyskl - INFO - Best top1_acc is 0.2875 at 12 epoch. 2025-04-29 07:09:11,112 - pyskl - INFO - Epoch(val) [12][413] top1_acc: 0.2875, top5_acc: 0.6504, mean_class_accuracy: 0.2878 2025-04-29 07:10:14,694 - pyskl - INFO - Epoch [13][100/1027] lr: 2.460e-02, eta: 18:36:47, time: 0.636, data_time: 0.255, memory: 7959, top1_acc: 0.2781, top5_acc: 0.6100, loss_cls: 8.4072, loss: 8.4072 2025-04-29 07:10:59,033 - pyskl - INFO - Epoch [13][200/1027] lr: 2.459e-02, eta: 18:35:26, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.2725, top5_acc: 0.5675, loss_cls: 8.5672, loss: 8.5672 2025-04-29 07:11:45,272 - pyskl - INFO - Epoch [13][300/1027] lr: 2.459e-02, eta: 18:34:27, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.2794, top5_acc: 0.6100, loss_cls: 8.3334, loss: 8.3334 2025-04-29 07:12:31,502 - pyskl - INFO - Epoch [13][400/1027] lr: 2.458e-02, eta: 18:33:28, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.2669, top5_acc: 0.5787, loss_cls: 8.4369, loss: 8.4369 2025-04-29 07:13:17,799 - pyskl - INFO - Epoch [13][500/1027] lr: 2.458e-02, eta: 18:32:30, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.2656, top5_acc: 0.5850, loss_cls: 8.4525, loss: 8.4525 2025-04-29 07:14:04,896 - pyskl - INFO - Epoch [13][600/1027] lr: 2.457e-02, eta: 18:31:41, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.2656, top5_acc: 0.5875, loss_cls: 8.4490, loss: 8.4490 2025-04-29 07:14:51,046 - pyskl - INFO - Epoch [13][700/1027] lr: 2.456e-02, eta: 18:30:42, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.2769, top5_acc: 0.5906, loss_cls: 8.4076, loss: 8.4076 2025-04-29 07:15:37,577 - pyskl - INFO - Epoch [13][800/1027] lr: 2.456e-02, eta: 18:29:47, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.2838, top5_acc: 0.5863, loss_cls: 8.3998, loss: 8.3998 2025-04-29 07:16:25,056 - pyskl - INFO - Epoch [13][900/1027] lr: 2.455e-02, eta: 18:29:02, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.2487, top5_acc: 0.5744, loss_cls: 8.6072, loss: 8.6072 2025-04-29 07:17:12,883 - pyskl - INFO - Epoch [13][1000/1027] lr: 2.454e-02, eta: 18:28:21, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.2681, top5_acc: 0.5944, loss_cls: 8.3820, loss: 8.3820 2025-04-29 07:17:26,205 - pyskl - INFO - Saving checkpoint at 13 epochs 2025-04-29 07:18:05,864 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 07:18:05,939 - pyskl - INFO - top1_acc 0.3111 top5_acc 0.6606 2025-04-29 07:18:05,939 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 07:18:05,947 - pyskl - INFO - mean_acc 0.3127 2025-04-29 07:18:06,010 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_12.pth was removed 2025-04-29 07:18:07,654 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. 2025-04-29 07:18:07,656 - pyskl - INFO - Best top1_acc is 0.3111 at 13 epoch. 2025-04-29 07:18:07,659 - pyskl - INFO - Epoch(val) [13][413] top1_acc: 0.3111, top5_acc: 0.6606, mean_class_accuracy: 0.3127 2025-04-29 07:19:12,195 - pyskl - INFO - Epoch [14][100/1027] lr: 2.453e-02, eta: 18:28:08, time: 0.645, data_time: 0.264, memory: 7959, top1_acc: 0.2787, top5_acc: 0.5994, loss_cls: 8.2730, loss: 8.2730 2025-04-29 07:19:56,651 - pyskl - INFO - Epoch [14][200/1027] lr: 2.453e-02, eta: 18:26:51, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.2881, top5_acc: 0.6081, loss_cls: 8.3471, loss: 8.3471 2025-04-29 07:20:42,993 - pyskl - INFO - Epoch [14][300/1027] lr: 2.452e-02, eta: 18:25:54, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.2819, top5_acc: 0.6100, loss_cls: 8.4372, loss: 8.4372 2025-04-29 07:21:29,563 - pyskl - INFO - Epoch [14][400/1027] lr: 2.451e-02, eta: 18:25:00, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.2656, top5_acc: 0.5894, loss_cls: 8.5746, loss: 8.5746 2025-04-29 07:22:15,908 - pyskl - INFO - Epoch [14][500/1027] lr: 2.450e-02, eta: 18:24:03, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.2775, top5_acc: 0.5806, loss_cls: 8.4801, loss: 8.4801 2025-04-29 07:23:03,955 - pyskl - INFO - Epoch [14][600/1027] lr: 2.450e-02, eta: 18:23:24, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.2881, top5_acc: 0.6031, loss_cls: 8.3764, loss: 8.3764 2025-04-29 07:23:51,373 - pyskl - INFO - Epoch [14][700/1027] lr: 2.449e-02, eta: 18:22:39, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.2806, top5_acc: 0.5894, loss_cls: 8.4000, loss: 8.4000 2025-04-29 07:24:39,058 - pyskl - INFO - Epoch [14][800/1027] lr: 2.448e-02, eta: 18:21:56, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.2700, top5_acc: 0.5906, loss_cls: 8.4375, loss: 8.4375 2025-04-29 07:25:26,612 - pyskl - INFO - Epoch [14][900/1027] lr: 2.448e-02, eta: 18:21:11, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.3081, top5_acc: 0.6112, loss_cls: 8.1205, loss: 8.1205 2025-04-29 07:26:14,540 - pyskl - INFO - Epoch [14][1000/1027] lr: 2.447e-02, eta: 18:20:30, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.2744, top5_acc: 0.5956, loss_cls: 8.4468, loss: 8.4468 2025-04-29 07:26:28,408 - pyskl - INFO - Saving checkpoint at 14 epochs 2025-04-29 07:27:08,901 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 07:27:08,972 - pyskl - INFO - top1_acc 0.3169 top5_acc 0.6707 2025-04-29 07:27:08,972 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 07:27:08,980 - pyskl - INFO - mean_acc 0.3168 2025-04-29 07:27:09,043 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_13.pth was removed 2025-04-29 07:27:10,710 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. 2025-04-29 07:27:10,711 - pyskl - INFO - Best top1_acc is 0.3169 at 14 epoch. 2025-04-29 07:27:10,714 - pyskl - INFO - Epoch(val) [14][413] top1_acc: 0.3169, top5_acc: 0.6707, mean_class_accuracy: 0.3168 2025-04-29 07:28:15,195 - pyskl - INFO - Epoch [15][100/1027] lr: 2.446e-02, eta: 18:20:13, time: 0.645, data_time: 0.263, memory: 7959, top1_acc: 0.2719, top5_acc: 0.6062, loss_cls: 8.3181, loss: 8.3181 2025-04-29 07:28:58,979 - pyskl - INFO - Epoch [15][200/1027] lr: 2.445e-02, eta: 18:18:52, time: 0.438, data_time: 0.000, memory: 7959, top1_acc: 0.2925, top5_acc: 0.6138, loss_cls: 8.1524, loss: 8.1524 2025-04-29 07:29:44,199 - pyskl - INFO - Epoch [15][300/1027] lr: 2.444e-02, eta: 18:17:45, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.2969, top5_acc: 0.6238, loss_cls: 8.2503, loss: 8.2503 2025-04-29 07:30:31,082 - pyskl - INFO - Epoch [15][400/1027] lr: 2.444e-02, eta: 18:16:55, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.2994, top5_acc: 0.6112, loss_cls: 8.2443, loss: 8.2443 2025-04-29 07:31:17,803 - pyskl - INFO - Epoch [15][500/1027] lr: 2.443e-02, eta: 18:16:02, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.2969, top5_acc: 0.6306, loss_cls: 8.1622, loss: 8.1622 2025-04-29 07:32:04,300 - pyskl - INFO - Epoch [15][600/1027] lr: 2.442e-02, eta: 18:15:08, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.2863, top5_acc: 0.6225, loss_cls: 8.1748, loss: 8.1748 2025-04-29 07:32:52,285 - pyskl - INFO - Epoch [15][700/1027] lr: 2.441e-02, eta: 18:14:28, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.2988, top5_acc: 0.6088, loss_cls: 8.2763, loss: 8.2763 2025-04-29 07:33:39,112 - pyskl - INFO - Epoch [15][800/1027] lr: 2.441e-02, eta: 18:13:37, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.3025, top5_acc: 0.6125, loss_cls: 8.2558, loss: 8.2558 2025-04-29 07:34:26,091 - pyskl - INFO - Epoch [15][900/1027] lr: 2.440e-02, eta: 18:12:47, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.3088, top5_acc: 0.6188, loss_cls: 8.0964, loss: 8.0964 2025-04-29 07:35:13,569 - pyskl - INFO - Epoch [15][1000/1027] lr: 2.439e-02, eta: 18:12:02, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.3000, top5_acc: 0.6069, loss_cls: 8.3128, loss: 8.3128 2025-04-29 07:35:27,584 - pyskl - INFO - Saving checkpoint at 15 epochs 2025-04-29 07:36:07,638 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 07:36:07,710 - pyskl - INFO - top1_acc 0.3481 top5_acc 0.7090 2025-04-29 07:36:07,710 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 07:36:07,718 - pyskl - INFO - mean_acc 0.3518 2025-04-29 07:36:07,779 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_14.pth was removed 2025-04-29 07:36:09,418 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. 2025-04-29 07:36:09,420 - pyskl - INFO - Best top1_acc is 0.3481 at 15 epoch. 2025-04-29 07:36:09,423 - pyskl - INFO - Epoch(val) [15][413] top1_acc: 0.3481, top5_acc: 0.7090, mean_class_accuracy: 0.3518 2025-04-29 07:37:14,083 - pyskl - INFO - Epoch [16][100/1027] lr: 2.438e-02, eta: 18:11:43, time: 0.647, data_time: 0.264, memory: 7959, top1_acc: 0.3063, top5_acc: 0.6356, loss_cls: 8.2100, loss: 8.2100 2025-04-29 07:37:58,497 - pyskl - INFO - Epoch [16][200/1027] lr: 2.437e-02, eta: 18:10:30, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.3144, top5_acc: 0.6400, loss_cls: 8.0624, loss: 8.0624 2025-04-29 07:38:44,944 - pyskl - INFO - Epoch [16][300/1027] lr: 2.436e-02, eta: 18:09:36, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.3025, top5_acc: 0.6250, loss_cls: 8.2293, loss: 8.2293 2025-04-29 07:39:32,499 - pyskl - INFO - Epoch [16][400/1027] lr: 2.436e-02, eta: 18:08:51, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.2994, top5_acc: 0.6262, loss_cls: 8.1687, loss: 8.1687 2025-04-29 07:40:20,334 - pyskl - INFO - Epoch [16][500/1027] lr: 2.435e-02, eta: 18:08:09, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.3231, top5_acc: 0.6256, loss_cls: 8.0095, loss: 8.0095 2025-04-29 07:41:07,512 - pyskl - INFO - Epoch [16][600/1027] lr: 2.434e-02, eta: 18:07:21, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.3006, top5_acc: 0.6294, loss_cls: 8.1568, loss: 8.1568 2025-04-29 07:41:55,239 - pyskl - INFO - Epoch [16][700/1027] lr: 2.433e-02, eta: 18:06:38, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.3156, top5_acc: 0.6238, loss_cls: 8.1616, loss: 8.1616 2025-04-29 07:42:43,206 - pyskl - INFO - Epoch [16][800/1027] lr: 2.432e-02, eta: 18:05:56, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.3150, top5_acc: 0.6300, loss_cls: 8.1520, loss: 8.1520 2025-04-29 07:43:30,836 - pyskl - INFO - Epoch [16][900/1027] lr: 2.432e-02, eta: 18:05:12, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.3187, top5_acc: 0.6225, loss_cls: 8.1758, loss: 8.1758 2025-04-29 07:44:18,132 - pyskl - INFO - Epoch [16][1000/1027] lr: 2.431e-02, eta: 18:04:25, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3100, top5_acc: 0.6275, loss_cls: 8.1369, loss: 8.1369 2025-04-29 07:44:32,010 - pyskl - INFO - Saving checkpoint at 16 epochs 2025-04-29 07:45:11,813 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 07:45:11,901 - pyskl - INFO - top1_acc 0.3105 top5_acc 0.6934 2025-04-29 07:45:11,901 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 07:45:11,910 - pyskl - INFO - mean_acc 0.3173 2025-04-29 07:45:11,912 - pyskl - INFO - Epoch(val) [16][413] top1_acc: 0.3105, top5_acc: 0.6934, mean_class_accuracy: 0.3173 2025-04-29 07:46:17,911 - pyskl - INFO - Epoch [17][100/1027] lr: 2.430e-02, eta: 18:04:15, time: 0.660, data_time: 0.276, memory: 7959, top1_acc: 0.3244, top5_acc: 0.6488, loss_cls: 8.0232, loss: 8.0232 2025-04-29 07:47:01,413 - pyskl - INFO - Epoch [17][200/1027] lr: 2.429e-02, eta: 18:02:56, time: 0.435, data_time: 0.000, memory: 7959, top1_acc: 0.3144, top5_acc: 0.6569, loss_cls: 8.0405, loss: 8.0405 2025-04-29 07:47:48,890 - pyskl - INFO - Epoch [17][300/1027] lr: 2.428e-02, eta: 18:02:10, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.3319, top5_acc: 0.6512, loss_cls: 8.0085, loss: 8.0085 2025-04-29 07:48:35,829 - pyskl - INFO - Epoch [17][400/1027] lr: 2.427e-02, eta: 18:01:20, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.3294, top5_acc: 0.6388, loss_cls: 7.9972, loss: 7.9972 2025-04-29 07:49:22,693 - pyskl - INFO - Epoch [17][500/1027] lr: 2.426e-02, eta: 18:00:30, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.3212, top5_acc: 0.6112, loss_cls: 8.1291, loss: 8.1291 2025-04-29 07:50:10,255 - pyskl - INFO - Epoch [17][600/1027] lr: 2.425e-02, eta: 17:59:44, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.3125, top5_acc: 0.6356, loss_cls: 8.1673, loss: 8.1673 2025-04-29 07:50:58,504 - pyskl - INFO - Epoch [17][700/1027] lr: 2.424e-02, eta: 17:59:05, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.3119, top5_acc: 0.6244, loss_cls: 8.0969, loss: 8.0969 2025-04-29 07:51:46,766 - pyskl - INFO - Epoch [17][800/1027] lr: 2.424e-02, eta: 17:58:25, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.3119, top5_acc: 0.6381, loss_cls: 8.1593, loss: 8.1593 2025-04-29 07:52:34,843 - pyskl - INFO - Epoch [17][900/1027] lr: 2.423e-02, eta: 17:57:44, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.3281, top5_acc: 0.6438, loss_cls: 8.0465, loss: 8.0465 2025-04-29 07:53:23,108 - pyskl - INFO - Epoch [17][1000/1027] lr: 2.422e-02, eta: 17:57:05, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.3119, top5_acc: 0.6388, loss_cls: 8.1202, loss: 8.1202 2025-04-29 07:53:37,259 - pyskl - INFO - Saving checkpoint at 17 epochs 2025-04-29 07:54:18,500 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 07:54:18,572 - pyskl - INFO - top1_acc 0.3572 top5_acc 0.6725 2025-04-29 07:54:18,573 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 07:54:18,581 - pyskl - INFO - mean_acc 0.3554 2025-04-29 07:54:18,645 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_15.pth was removed 2025-04-29 07:54:20,232 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. 2025-04-29 07:54:20,234 - pyskl - INFO - Best top1_acc is 0.3572 at 17 epoch. 2025-04-29 07:54:20,236 - pyskl - INFO - Epoch(val) [17][413] top1_acc: 0.3572, top5_acc: 0.6725, mean_class_accuracy: 0.3554 2025-04-29 07:55:25,924 - pyskl - INFO - Epoch [18][100/1027] lr: 2.421e-02, eta: 17:56:48, time: 0.657, data_time: 0.257, memory: 7959, top1_acc: 0.3319, top5_acc: 0.6512, loss_cls: 7.9810, loss: 7.9810 2025-04-29 07:56:11,668 - pyskl - INFO - Epoch [18][200/1027] lr: 2.420e-02, eta: 17:55:48, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.3319, top5_acc: 0.6450, loss_cls: 7.8755, loss: 7.8755 2025-04-29 07:57:01,485 - pyskl - INFO - Epoch [18][300/1027] lr: 2.419e-02, eta: 17:55:20, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.3431, top5_acc: 0.6700, loss_cls: 7.7496, loss: 7.7496 2025-04-29 07:57:51,280 - pyskl - INFO - Epoch [18][400/1027] lr: 2.418e-02, eta: 17:54:52, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.3250, top5_acc: 0.6600, loss_cls: 8.0672, loss: 8.0672 2025-04-29 07:58:41,407 - pyskl - INFO - Epoch [18][500/1027] lr: 2.417e-02, eta: 17:54:25, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.3237, top5_acc: 0.6444, loss_cls: 7.9462, loss: 7.9462 2025-04-29 07:59:32,046 - pyskl - INFO - Epoch [18][600/1027] lr: 2.416e-02, eta: 17:54:02, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.3119, top5_acc: 0.6269, loss_cls: 7.9627, loss: 7.9627 2025-04-29 08:00:21,636 - pyskl - INFO - Epoch [18][700/1027] lr: 2.415e-02, eta: 17:53:32, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.3219, top5_acc: 0.6456, loss_cls: 8.1023, loss: 8.1023 2025-04-29 08:01:11,751 - pyskl - INFO - Epoch [18][800/1027] lr: 2.414e-02, eta: 17:53:04, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.3075, top5_acc: 0.6400, loss_cls: 8.0545, loss: 8.0545 2025-04-29 08:02:02,361 - pyskl - INFO - Epoch [18][900/1027] lr: 2.413e-02, eta: 17:52:41, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.3275, top5_acc: 0.6512, loss_cls: 8.0321, loss: 8.0321 2025-04-29 08:02:52,332 - pyskl - INFO - Epoch [18][1000/1027] lr: 2.412e-02, eta: 17:52:12, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.3200, top5_acc: 0.6494, loss_cls: 7.9829, loss: 7.9829 2025-04-29 08:03:06,456 - pyskl - INFO - Saving checkpoint at 18 epochs 2025-04-29 08:03:47,816 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 08:03:47,895 - pyskl - INFO - top1_acc 0.3914 top5_acc 0.7341 2025-04-29 08:03:47,896 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 08:03:47,905 - pyskl - INFO - mean_acc 0.3940 2025-04-29 08:03:47,973 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_17.pth was removed 2025-04-29 08:03:49,642 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. 2025-04-29 08:03:49,643 - pyskl - INFO - Best top1_acc is 0.3914 at 18 epoch. 2025-04-29 08:03:49,648 - pyskl - INFO - Epoch(val) [18][413] top1_acc: 0.3914, top5_acc: 0.7341, mean_class_accuracy: 0.3940 2025-04-29 08:04:55,572 - pyskl - INFO - Epoch [19][100/1027] lr: 2.411e-02, eta: 17:51:53, time: 0.659, data_time: 0.268, memory: 7959, top1_acc: 0.3344, top5_acc: 0.6656, loss_cls: 7.7799, loss: 7.7799 2025-04-29 08:05:40,033 - pyskl - INFO - Epoch [19][200/1027] lr: 2.410e-02, eta: 17:50:43, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.3481, top5_acc: 0.6500, loss_cls: 7.9001, loss: 7.9001 2025-04-29 08:06:26,266 - pyskl - INFO - Epoch [19][300/1027] lr: 2.409e-02, eta: 17:49:47, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.3488, top5_acc: 0.6587, loss_cls: 7.8234, loss: 7.8234 2025-04-29 08:07:12,959 - pyskl - INFO - Epoch [19][400/1027] lr: 2.408e-02, eta: 17:48:54, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.3456, top5_acc: 0.6619, loss_cls: 7.8075, loss: 7.8075 2025-04-29 08:07:59,795 - pyskl - INFO - Epoch [19][500/1027] lr: 2.407e-02, eta: 17:48:02, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.3400, top5_acc: 0.6550, loss_cls: 7.8017, loss: 7.8017 2025-04-29 08:08:46,739 - pyskl - INFO - Epoch [19][600/1027] lr: 2.407e-02, eta: 17:47:11, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.3463, top5_acc: 0.6587, loss_cls: 7.8905, loss: 7.8905 2025-04-29 08:09:33,422 - pyskl - INFO - Epoch [19][700/1027] lr: 2.406e-02, eta: 17:46:19, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.3312, top5_acc: 0.6450, loss_cls: 8.0100, loss: 8.0100 2025-04-29 08:10:20,759 - pyskl - INFO - Epoch [19][800/1027] lr: 2.405e-02, eta: 17:45:30, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3350, top5_acc: 0.6494, loss_cls: 7.9869, loss: 7.9869 2025-04-29 08:11:08,134 - pyskl - INFO - Epoch [19][900/1027] lr: 2.404e-02, eta: 17:44:43, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.3225, top5_acc: 0.6462, loss_cls: 7.9328, loss: 7.9328 2025-04-29 08:11:55,859 - pyskl - INFO - Epoch [19][1000/1027] lr: 2.403e-02, eta: 17:43:57, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.3375, top5_acc: 0.6506, loss_cls: 7.9102, loss: 7.9102 2025-04-29 08:12:09,553 - pyskl - INFO - Saving checkpoint at 19 epochs 2025-04-29 08:12:49,397 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 08:12:49,468 - pyskl - INFO - top1_acc 0.3879 top5_acc 0.7312 2025-04-29 08:12:49,468 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 08:12:49,475 - pyskl - INFO - mean_acc 0.3914 2025-04-29 08:12:49,477 - pyskl - INFO - Epoch(val) [19][413] top1_acc: 0.3879, top5_acc: 0.7312, mean_class_accuracy: 0.3914 2025-04-29 08:13:53,567 - pyskl - INFO - Epoch [20][100/1027] lr: 2.401e-02, eta: 17:43:23, time: 0.641, data_time: 0.257, memory: 7959, top1_acc: 0.3419, top5_acc: 0.6787, loss_cls: 7.7716, loss: 7.7716 2025-04-29 08:14:38,096 - pyskl - INFO - Epoch [20][200/1027] lr: 2.400e-02, eta: 17:42:16, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.3513, top5_acc: 0.6512, loss_cls: 7.8946, loss: 7.8946 2025-04-29 08:15:24,142 - pyskl - INFO - Epoch [20][300/1027] lr: 2.399e-02, eta: 17:41:19, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.3644, top5_acc: 0.6656, loss_cls: 7.7922, loss: 7.7922 2025-04-29 08:16:10,587 - pyskl - INFO - Epoch [20][400/1027] lr: 2.398e-02, eta: 17:40:25, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.3581, top5_acc: 0.6469, loss_cls: 7.8179, loss: 7.8179 2025-04-29 08:16:58,273 - pyskl - INFO - Epoch [20][500/1027] lr: 2.397e-02, eta: 17:39:39, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.3425, top5_acc: 0.6538, loss_cls: 7.8983, loss: 7.8983 2025-04-29 08:17:45,329 - pyskl - INFO - Epoch [20][600/1027] lr: 2.396e-02, eta: 17:38:49, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.3556, top5_acc: 0.6569, loss_cls: 7.8429, loss: 7.8429 2025-04-29 08:18:33,057 - pyskl - INFO - Epoch [20][700/1027] lr: 2.395e-02, eta: 17:38:03, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.3538, top5_acc: 0.6575, loss_cls: 7.8091, loss: 7.8091 2025-04-29 08:19:20,219 - pyskl - INFO - Epoch [20][800/1027] lr: 2.394e-02, eta: 17:37:14, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.3550, top5_acc: 0.6744, loss_cls: 7.8185, loss: 7.8185 2025-04-29 08:20:07,896 - pyskl - INFO - Epoch [20][900/1027] lr: 2.393e-02, eta: 17:36:28, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.3219, top5_acc: 0.6644, loss_cls: 7.9260, loss: 7.9260 2025-04-29 08:20:56,164 - pyskl - INFO - Epoch [20][1000/1027] lr: 2.392e-02, eta: 17:35:46, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.3575, top5_acc: 0.6694, loss_cls: 7.8133, loss: 7.8133 2025-04-29 08:21:09,454 - pyskl - INFO - Saving checkpoint at 20 epochs 2025-04-29 08:21:49,341 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 08:21:49,413 - pyskl - INFO - top1_acc 0.3543 top5_acc 0.6877 2025-04-29 08:21:49,413 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 08:21:49,421 - pyskl - INFO - mean_acc 0.3532 2025-04-29 08:21:49,423 - pyskl - INFO - Epoch(val) [20][413] top1_acc: 0.3543, top5_acc: 0.6877, mean_class_accuracy: 0.3532 2025-04-29 08:22:55,313 - pyskl - INFO - Epoch [21][100/1027] lr: 2.391e-02, eta: 17:35:23, time: 0.659, data_time: 0.269, memory: 7959, top1_acc: 0.3569, top5_acc: 0.6800, loss_cls: 7.7354, loss: 7.7354 2025-04-29 08:23:40,022 - pyskl - INFO - Epoch [21][200/1027] lr: 2.390e-02, eta: 17:34:17, time: 0.447, data_time: 0.000, memory: 7959, top1_acc: 0.3444, top5_acc: 0.6494, loss_cls: 7.8991, loss: 7.8991 2025-04-29 08:24:26,533 - pyskl - INFO - Epoch [21][300/1027] lr: 2.389e-02, eta: 17:33:24, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.3619, top5_acc: 0.6700, loss_cls: 7.7731, loss: 7.7731 2025-04-29 08:25:12,943 - pyskl - INFO - Epoch [21][400/1027] lr: 2.388e-02, eta: 17:32:30, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.3450, top5_acc: 0.6594, loss_cls: 7.8733, loss: 7.8733 2025-04-29 08:26:01,204 - pyskl - INFO - Epoch [21][500/1027] lr: 2.387e-02, eta: 17:31:48, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.3675, top5_acc: 0.6737, loss_cls: 7.6448, loss: 7.6448 2025-04-29 08:26:49,429 - pyskl - INFO - Epoch [21][600/1027] lr: 2.386e-02, eta: 17:31:05, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.3663, top5_acc: 0.6675, loss_cls: 7.8412, loss: 7.8412 2025-04-29 08:27:36,013 - pyskl - INFO - Epoch [21][700/1027] lr: 2.385e-02, eta: 17:30:12, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.3581, top5_acc: 0.6719, loss_cls: 7.6975, loss: 7.6975 2025-04-29 08:28:22,621 - pyskl - INFO - Epoch [21][800/1027] lr: 2.383e-02, eta: 17:29:19, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.3381, top5_acc: 0.6544, loss_cls: 7.8884, loss: 7.8884 2025-04-29 08:29:10,693 - pyskl - INFO - Epoch [21][900/1027] lr: 2.382e-02, eta: 17:28:36, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.3544, top5_acc: 0.6806, loss_cls: 7.7078, loss: 7.7078 2025-04-29 08:29:57,729 - pyskl - INFO - Epoch [21][1000/1027] lr: 2.381e-02, eta: 17:27:46, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.3681, top5_acc: 0.6750, loss_cls: 7.7256, loss: 7.7256 2025-04-29 08:30:11,090 - pyskl - INFO - Saving checkpoint at 21 epochs 2025-04-29 08:30:50,916 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 08:30:50,987 - pyskl - INFO - top1_acc 0.4187 top5_acc 0.7536 2025-04-29 08:30:50,988 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 08:30:50,995 - pyskl - INFO - mean_acc 0.4199 2025-04-29 08:30:51,057 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_18.pth was removed 2025-04-29 08:30:52,697 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. 2025-04-29 08:30:52,698 - pyskl - INFO - Best top1_acc is 0.4187 at 21 epoch. 2025-04-29 08:30:52,701 - pyskl - INFO - Epoch(val) [21][413] top1_acc: 0.4187, top5_acc: 0.7536, mean_class_accuracy: 0.4199 2025-04-29 08:31:57,830 - pyskl - INFO - Epoch [22][100/1027] lr: 2.380e-02, eta: 17:27:15, time: 0.651, data_time: 0.265, memory: 7959, top1_acc: 0.3856, top5_acc: 0.6856, loss_cls: 7.5737, loss: 7.5737 2025-04-29 08:32:40,980 - pyskl - INFO - Epoch [22][200/1027] lr: 2.379e-02, eta: 17:26:02, time: 0.431, data_time: 0.000, memory: 7959, top1_acc: 0.3594, top5_acc: 0.6756, loss_cls: 7.7724, loss: 7.7724 2025-04-29 08:33:26,497 - pyskl - INFO - Epoch [22][300/1027] lr: 2.378e-02, eta: 17:25:03, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.3750, top5_acc: 0.6844, loss_cls: 7.5952, loss: 7.5952 2025-04-29 08:34:12,846 - pyskl - INFO - Epoch [22][400/1027] lr: 2.377e-02, eta: 17:24:09, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.3350, top5_acc: 0.6669, loss_cls: 7.9036, loss: 7.9036 2025-04-29 08:35:00,244 - pyskl - INFO - Epoch [22][500/1027] lr: 2.376e-02, eta: 17:23:21, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.3606, top5_acc: 0.6875, loss_cls: 7.6178, loss: 7.6178 2025-04-29 08:35:47,599 - pyskl - INFO - Epoch [22][600/1027] lr: 2.374e-02, eta: 17:22:33, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.3650, top5_acc: 0.6775, loss_cls: 7.7185, loss: 7.7185 2025-04-29 08:36:34,168 - pyskl - INFO - Epoch [22][700/1027] lr: 2.373e-02, eta: 17:21:41, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.3644, top5_acc: 0.6625, loss_cls: 7.7384, loss: 7.7384 2025-04-29 08:37:21,497 - pyskl - INFO - Epoch [22][800/1027] lr: 2.372e-02, eta: 17:20:53, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3613, top5_acc: 0.6806, loss_cls: 7.7378, loss: 7.7378 2025-04-29 08:38:08,627 - pyskl - INFO - Epoch [22][900/1027] lr: 2.371e-02, eta: 17:20:03, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.3550, top5_acc: 0.6831, loss_cls: 7.7296, loss: 7.7296 2025-04-29 08:38:56,764 - pyskl - INFO - Epoch [22][1000/1027] lr: 2.370e-02, eta: 17:19:20, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.3644, top5_acc: 0.6737, loss_cls: 7.7018, loss: 7.7018 2025-04-29 08:39:10,445 - pyskl - INFO - Saving checkpoint at 22 epochs 2025-04-29 08:39:50,550 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 08:39:50,624 - pyskl - INFO - top1_acc 0.4169 top5_acc 0.7425 2025-04-29 08:39:50,624 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 08:39:50,632 - pyskl - INFO - mean_acc 0.4213 2025-04-29 08:39:50,634 - pyskl - INFO - Epoch(val) [22][413] top1_acc: 0.4169, top5_acc: 0.7425, mean_class_accuracy: 0.4213 2025-04-29 08:40:55,707 - pyskl - INFO - Epoch [23][100/1027] lr: 2.369e-02, eta: 17:18:48, time: 0.651, data_time: 0.265, memory: 7959, top1_acc: 0.3850, top5_acc: 0.6919, loss_cls: 7.6232, loss: 7.6232 2025-04-29 08:41:39,918 - pyskl - INFO - Epoch [23][200/1027] lr: 2.367e-02, eta: 17:17:42, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.3694, top5_acc: 0.6825, loss_cls: 7.6646, loss: 7.6646 2025-04-29 08:42:26,197 - pyskl - INFO - Epoch [23][300/1027] lr: 2.366e-02, eta: 17:16:48, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.3650, top5_acc: 0.6813, loss_cls: 7.6771, loss: 7.6771 2025-04-29 08:43:13,369 - pyskl - INFO - Epoch [23][400/1027] lr: 2.365e-02, eta: 17:15:59, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.3744, top5_acc: 0.6694, loss_cls: 7.7756, loss: 7.7756 2025-04-29 08:44:00,042 - pyskl - INFO - Epoch [23][500/1027] lr: 2.364e-02, eta: 17:15:07, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.3719, top5_acc: 0.6837, loss_cls: 7.5651, loss: 7.5651 2025-04-29 08:44:47,116 - pyskl - INFO - Epoch [23][600/1027] lr: 2.363e-02, eta: 17:14:18, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.3694, top5_acc: 0.6900, loss_cls: 7.6803, loss: 7.6803 2025-04-29 08:45:34,333 - pyskl - INFO - Epoch [23][700/1027] lr: 2.362e-02, eta: 17:13:29, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.3694, top5_acc: 0.6694, loss_cls: 7.6418, loss: 7.6418 2025-04-29 08:46:21,550 - pyskl - INFO - Epoch [23][800/1027] lr: 2.360e-02, eta: 17:12:40, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.3787, top5_acc: 0.6894, loss_cls: 7.5949, loss: 7.5949 2025-04-29 08:47:08,111 - pyskl - INFO - Epoch [23][900/1027] lr: 2.359e-02, eta: 17:11:48, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.3844, top5_acc: 0.7063, loss_cls: 7.5299, loss: 7.5299 2025-04-29 08:47:54,984 - pyskl - INFO - Epoch [23][1000/1027] lr: 2.358e-02, eta: 17:10:58, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.3713, top5_acc: 0.6813, loss_cls: 7.6546, loss: 7.6546 2025-04-29 08:48:08,285 - pyskl - INFO - Saving checkpoint at 23 epochs 2025-04-29 08:48:48,195 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 08:48:48,266 - pyskl - INFO - top1_acc 0.4311 top5_acc 0.7680 2025-04-29 08:48:48,266 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 08:48:48,274 - pyskl - INFO - mean_acc 0.4326 2025-04-29 08:48:48,336 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_21.pth was removed 2025-04-29 08:48:49,958 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. 2025-04-29 08:48:49,959 - pyskl - INFO - Best top1_acc is 0.4311 at 23 epoch. 2025-04-29 08:48:49,962 - pyskl - INFO - Epoch(val) [23][413] top1_acc: 0.4311, top5_acc: 0.7680, mean_class_accuracy: 0.4326 2025-04-29 08:49:55,617 - pyskl - INFO - Epoch [24][100/1027] lr: 2.357e-02, eta: 17:10:27, time: 0.656, data_time: 0.270, memory: 7959, top1_acc: 0.3775, top5_acc: 0.6931, loss_cls: 7.5839, loss: 7.5839 2025-04-29 08:50:39,478 - pyskl - INFO - Epoch [24][200/1027] lr: 2.355e-02, eta: 17:09:20, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.4062, top5_acc: 0.7188, loss_cls: 7.4058, loss: 7.4058 2025-04-29 08:51:24,678 - pyskl - INFO - Epoch [24][300/1027] lr: 2.354e-02, eta: 17:08:21, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.3738, top5_acc: 0.6963, loss_cls: 7.5605, loss: 7.5605 2025-04-29 08:52:10,274 - pyskl - INFO - Epoch [24][400/1027] lr: 2.353e-02, eta: 17:07:24, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.3600, top5_acc: 0.6856, loss_cls: 7.6725, loss: 7.6725 2025-04-29 08:52:57,730 - pyskl - INFO - Epoch [24][500/1027] lr: 2.352e-02, eta: 17:06:36, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.3906, top5_acc: 0.7087, loss_cls: 7.4907, loss: 7.4907 2025-04-29 08:53:47,965 - pyskl - INFO - Epoch [24][600/1027] lr: 2.351e-02, eta: 17:06:04, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.3962, top5_acc: 0.6881, loss_cls: 7.5357, loss: 7.5357 2025-04-29 08:54:38,731 - pyskl - INFO - Epoch [24][700/1027] lr: 2.349e-02, eta: 17:05:35, time: 0.508, data_time: 0.000, memory: 7959, top1_acc: 0.3812, top5_acc: 0.6850, loss_cls: 7.5767, loss: 7.5767 2025-04-29 08:55:28,747 - pyskl - INFO - Epoch [24][800/1027] lr: 2.348e-02, eta: 17:05:01, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.3837, top5_acc: 0.6881, loss_cls: 7.5427, loss: 7.5427 2025-04-29 08:56:19,631 - pyskl - INFO - Epoch [24][900/1027] lr: 2.347e-02, eta: 17:04:32, time: 0.509, data_time: 0.000, memory: 7959, top1_acc: 0.3775, top5_acc: 0.6706, loss_cls: 7.6045, loss: 7.6045 2025-04-29 08:57:10,330 - pyskl - INFO - Epoch [24][1000/1027] lr: 2.346e-02, eta: 17:04:01, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.3619, top5_acc: 0.6625, loss_cls: 7.7995, loss: 7.7995 2025-04-29 08:57:25,317 - pyskl - INFO - Saving checkpoint at 24 epochs 2025-04-29 08:58:07,313 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 08:58:07,389 - pyskl - INFO - top1_acc 0.4148 top5_acc 0.7519 2025-04-29 08:58:07,389 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 08:58:07,397 - pyskl - INFO - mean_acc 0.4137 2025-04-29 08:58:07,399 - pyskl - INFO - Epoch(val) [24][413] top1_acc: 0.4148, top5_acc: 0.7519, mean_class_accuracy: 0.4137 2025-04-29 08:59:12,532 - pyskl - INFO - Epoch [25][100/1027] lr: 2.344e-02, eta: 17:03:26, time: 0.651, data_time: 0.257, memory: 7959, top1_acc: 0.4213, top5_acc: 0.7212, loss_cls: 7.3209, loss: 7.3209 2025-04-29 08:59:59,463 - pyskl - INFO - Epoch [25][200/1027] lr: 2.343e-02, eta: 17:02:36, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.3975, top5_acc: 0.7106, loss_cls: 7.4696, loss: 7.4696 2025-04-29 09:00:48,821 - pyskl - INFO - Epoch [25][300/1027] lr: 2.342e-02, eta: 17:01:58, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.3681, top5_acc: 0.6781, loss_cls: 7.6185, loss: 7.6185 2025-04-29 09:01:38,547 - pyskl - INFO - Epoch [25][400/1027] lr: 2.340e-02, eta: 17:01:22, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.3987, top5_acc: 0.7037, loss_cls: 7.4146, loss: 7.4146 2025-04-29 09:02:29,101 - pyskl - INFO - Epoch [25][500/1027] lr: 2.339e-02, eta: 17:00:50, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.3575, top5_acc: 0.7000, loss_cls: 7.5830, loss: 7.5830 2025-04-29 09:03:18,201 - pyskl - INFO - Epoch [25][600/1027] lr: 2.338e-02, eta: 17:00:11, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.3725, top5_acc: 0.6875, loss_cls: 7.5921, loss: 7.5921 2025-04-29 09:04:07,663 - pyskl - INFO - Epoch [25][700/1027] lr: 2.337e-02, eta: 16:59:33, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.3725, top5_acc: 0.6725, loss_cls: 7.7030, loss: 7.7030 2025-04-29 09:04:56,035 - pyskl - INFO - Epoch [25][800/1027] lr: 2.335e-02, eta: 16:58:50, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4050, top5_acc: 0.6837, loss_cls: 7.5520, loss: 7.5520 2025-04-29 09:05:43,765 - pyskl - INFO - Epoch [25][900/1027] lr: 2.334e-02, eta: 16:58:03, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.3781, top5_acc: 0.6931, loss_cls: 7.4946, loss: 7.4946 2025-04-29 09:06:31,893 - pyskl - INFO - Epoch [25][1000/1027] lr: 2.333e-02, eta: 16:57:19, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.3850, top5_acc: 0.6887, loss_cls: 7.5770, loss: 7.5770 2025-04-29 09:06:45,912 - pyskl - INFO - Saving checkpoint at 25 epochs 2025-04-29 09:07:26,059 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 09:07:26,130 - pyskl - INFO - top1_acc 0.3778 top5_acc 0.6916 2025-04-29 09:07:26,130 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 09:07:26,138 - pyskl - INFO - mean_acc 0.3788 2025-04-29 09:07:26,140 - pyskl - INFO - Epoch(val) [25][413] top1_acc: 0.3778, top5_acc: 0.6916, mean_class_accuracy: 0.3788 2025-04-29 09:08:30,088 - pyskl - INFO - Epoch [26][100/1027] lr: 2.331e-02, eta: 16:56:36, time: 0.639, data_time: 0.255, memory: 7959, top1_acc: 0.3981, top5_acc: 0.6944, loss_cls: 7.5293, loss: 7.5293 2025-04-29 09:09:14,347 - pyskl - INFO - Epoch [26][200/1027] lr: 2.330e-02, eta: 16:55:32, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.3956, top5_acc: 0.7100, loss_cls: 7.4124, loss: 7.4124 2025-04-29 09:09:59,619 - pyskl - INFO - Epoch [26][300/1027] lr: 2.329e-02, eta: 16:54:33, time: 0.453, data_time: 0.000, memory: 7959, top1_acc: 0.3950, top5_acc: 0.6994, loss_cls: 7.5539, loss: 7.5539 2025-04-29 09:10:46,919 - pyskl - INFO - Epoch [26][400/1027] lr: 2.327e-02, eta: 16:53:45, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4044, top5_acc: 0.7025, loss_cls: 7.3541, loss: 7.3541 2025-04-29 09:11:34,440 - pyskl - INFO - Epoch [26][500/1027] lr: 2.326e-02, eta: 16:52:57, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.3819, top5_acc: 0.6925, loss_cls: 7.6155, loss: 7.6155 2025-04-29 09:12:21,386 - pyskl - INFO - Epoch [26][600/1027] lr: 2.325e-02, eta: 16:52:07, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.3919, top5_acc: 0.6950, loss_cls: 7.4908, loss: 7.4908 2025-04-29 09:13:08,657 - pyskl - INFO - Epoch [26][700/1027] lr: 2.324e-02, eta: 16:51:18, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3719, top5_acc: 0.6806, loss_cls: 7.7003, loss: 7.7003 2025-04-29 09:13:55,962 - pyskl - INFO - Epoch [26][800/1027] lr: 2.322e-02, eta: 16:50:29, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3738, top5_acc: 0.6900, loss_cls: 7.6081, loss: 7.6081 2025-04-29 09:14:44,632 - pyskl - INFO - Epoch [26][900/1027] lr: 2.321e-02, eta: 16:49:47, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.3900, top5_acc: 0.7069, loss_cls: 7.5285, loss: 7.5285 2025-04-29 09:15:31,667 - pyskl - INFO - Epoch [26][1000/1027] lr: 2.320e-02, eta: 16:48:57, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.4100, top5_acc: 0.7069, loss_cls: 7.4401, loss: 7.4401 2025-04-29 09:15:45,349 - pyskl - INFO - Saving checkpoint at 26 epochs 2025-04-29 09:16:25,236 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 09:16:25,311 - pyskl - INFO - top1_acc 0.4281 top5_acc 0.7594 2025-04-29 09:16:25,312 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 09:16:25,320 - pyskl - INFO - mean_acc 0.4326 2025-04-29 09:16:25,322 - pyskl - INFO - Epoch(val) [26][413] top1_acc: 0.4281, top5_acc: 0.7594, mean_class_accuracy: 0.4326 2025-04-29 09:17:30,247 - pyskl - INFO - Epoch [27][100/1027] lr: 2.318e-02, eta: 16:48:19, time: 0.649, data_time: 0.260, memory: 7959, top1_acc: 0.4238, top5_acc: 0.7306, loss_cls: 7.2742, loss: 7.2742 2025-04-29 09:18:14,977 - pyskl - INFO - Epoch [27][200/1027] lr: 2.317e-02, eta: 16:47:18, time: 0.447, data_time: 0.000, memory: 7959, top1_acc: 0.3756, top5_acc: 0.7119, loss_cls: 7.3769, loss: 7.3769 2025-04-29 09:19:01,740 - pyskl - INFO - Epoch [27][300/1027] lr: 2.315e-02, eta: 16:46:27, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.4069, top5_acc: 0.7019, loss_cls: 7.3696, loss: 7.3696 2025-04-29 09:19:48,630 - pyskl - INFO - Epoch [27][400/1027] lr: 2.314e-02, eta: 16:45:36, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4056, top5_acc: 0.7044, loss_cls: 7.4964, loss: 7.4964 2025-04-29 09:20:34,627 - pyskl - INFO - Epoch [27][500/1027] lr: 2.313e-02, eta: 16:44:41, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.4088, top5_acc: 0.7063, loss_cls: 7.4279, loss: 7.4279 2025-04-29 09:21:21,896 - pyskl - INFO - Epoch [27][600/1027] lr: 2.311e-02, eta: 16:43:53, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3937, top5_acc: 0.7019, loss_cls: 7.4354, loss: 7.4354 2025-04-29 09:22:09,077 - pyskl - INFO - Epoch [27][700/1027] lr: 2.310e-02, eta: 16:43:04, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4050, top5_acc: 0.7075, loss_cls: 7.5277, loss: 7.5277 2025-04-29 09:22:55,407 - pyskl - INFO - Epoch [27][800/1027] lr: 2.309e-02, eta: 16:42:11, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.3950, top5_acc: 0.6944, loss_cls: 7.5716, loss: 7.5716 2025-04-29 09:23:41,760 - pyskl - INFO - Epoch [27][900/1027] lr: 2.307e-02, eta: 16:41:18, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.3775, top5_acc: 0.6825, loss_cls: 7.6070, loss: 7.6070 2025-04-29 09:24:30,175 - pyskl - INFO - Epoch [27][1000/1027] lr: 2.306e-02, eta: 16:40:34, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.3950, top5_acc: 0.7063, loss_cls: 7.5648, loss: 7.5648 2025-04-29 09:24:44,105 - pyskl - INFO - Saving checkpoint at 27 epochs 2025-04-29 09:25:23,936 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 09:25:24,008 - pyskl - INFO - top1_acc 0.4323 top5_acc 0.7727 2025-04-29 09:25:24,008 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 09:25:24,016 - pyskl - INFO - mean_acc 0.4356 2025-04-29 09:25:24,079 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_23.pth was removed 2025-04-29 09:25:25,726 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_27.pth. 2025-04-29 09:25:25,727 - pyskl - INFO - Best top1_acc is 0.4323 at 27 epoch. 2025-04-29 09:25:25,730 - pyskl - INFO - Epoch(val) [27][413] top1_acc: 0.4323, top5_acc: 0.7727, mean_class_accuracy: 0.4356 2025-04-29 09:26:30,090 - pyskl - INFO - Epoch [28][100/1027] lr: 2.304e-02, eta: 16:39:52, time: 0.644, data_time: 0.260, memory: 7959, top1_acc: 0.4519, top5_acc: 0.7412, loss_cls: 7.1513, loss: 7.1513 2025-04-29 09:27:14,336 - pyskl - INFO - Epoch [28][200/1027] lr: 2.303e-02, eta: 16:38:50, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.4181, top5_acc: 0.7456, loss_cls: 7.1876, loss: 7.1876 2025-04-29 09:28:00,705 - pyskl - INFO - Epoch [28][300/1027] lr: 2.301e-02, eta: 16:37:57, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.4100, top5_acc: 0.7169, loss_cls: 7.3208, loss: 7.3208 2025-04-29 09:28:48,048 - pyskl - INFO - Epoch [28][400/1027] lr: 2.300e-02, eta: 16:37:09, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4069, top5_acc: 0.7106, loss_cls: 7.3680, loss: 7.3680 2025-04-29 09:29:34,865 - pyskl - INFO - Epoch [28][500/1027] lr: 2.299e-02, eta: 16:36:18, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.4175, top5_acc: 0.7244, loss_cls: 7.2792, loss: 7.2792 2025-04-29 09:30:22,693 - pyskl - INFO - Epoch [28][600/1027] lr: 2.297e-02, eta: 16:35:32, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4062, top5_acc: 0.6937, loss_cls: 7.4852, loss: 7.4852 2025-04-29 09:31:09,860 - pyskl - INFO - Epoch [28][700/1027] lr: 2.296e-02, eta: 16:34:43, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.3837, top5_acc: 0.6900, loss_cls: 7.5257, loss: 7.5257 2025-04-29 09:31:57,078 - pyskl - INFO - Epoch [28][800/1027] lr: 2.294e-02, eta: 16:33:54, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4144, top5_acc: 0.6937, loss_cls: 7.5829, loss: 7.5829 2025-04-29 09:32:44,257 - pyskl - INFO - Epoch [28][900/1027] lr: 2.293e-02, eta: 16:33:05, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.3969, top5_acc: 0.7119, loss_cls: 7.4473, loss: 7.4473 2025-04-29 09:33:31,207 - pyskl - INFO - Epoch [28][1000/1027] lr: 2.292e-02, eta: 16:32:15, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.3925, top5_acc: 0.6975, loss_cls: 7.4534, loss: 7.4534 2025-04-29 09:33:44,741 - pyskl - INFO - Saving checkpoint at 28 epochs 2025-04-29 09:34:24,796 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 09:34:24,868 - pyskl - INFO - top1_acc 0.4069 top5_acc 0.7495 2025-04-29 09:34:24,868 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 09:34:24,876 - pyskl - INFO - mean_acc 0.4051 2025-04-29 09:34:24,878 - pyskl - INFO - Epoch(val) [28][413] top1_acc: 0.4069, top5_acc: 0.7495, mean_class_accuracy: 0.4051 2025-04-29 09:35:29,557 - pyskl - INFO - Epoch [29][100/1027] lr: 2.290e-02, eta: 16:31:34, time: 0.647, data_time: 0.262, memory: 7959, top1_acc: 0.4012, top5_acc: 0.7013, loss_cls: 7.3252, loss: 7.3252 2025-04-29 09:36:13,107 - pyskl - INFO - Epoch [29][200/1027] lr: 2.288e-02, eta: 16:30:29, time: 0.435, data_time: 0.000, memory: 7959, top1_acc: 0.4169, top5_acc: 0.7300, loss_cls: 7.2503, loss: 7.2503 2025-04-29 09:36:58,550 - pyskl - INFO - Epoch [29][300/1027] lr: 2.287e-02, eta: 16:29:33, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.4037, top5_acc: 0.7219, loss_cls: 7.2928, loss: 7.2928 2025-04-29 09:37:45,736 - pyskl - INFO - Epoch [29][400/1027] lr: 2.285e-02, eta: 16:28:44, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4050, top5_acc: 0.7125, loss_cls: 7.3397, loss: 7.3397 2025-04-29 09:38:33,511 - pyskl - INFO - Epoch [29][500/1027] lr: 2.284e-02, eta: 16:27:58, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4025, top5_acc: 0.7069, loss_cls: 7.4239, loss: 7.4239 2025-04-29 09:39:21,482 - pyskl - INFO - Epoch [29][600/1027] lr: 2.283e-02, eta: 16:27:12, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.3906, top5_acc: 0.6994, loss_cls: 7.5168, loss: 7.5168 2025-04-29 09:40:09,077 - pyskl - INFO - Epoch [29][700/1027] lr: 2.281e-02, eta: 16:26:25, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.3925, top5_acc: 0.7094, loss_cls: 7.4887, loss: 7.4887 2025-04-29 09:40:56,852 - pyskl - INFO - Epoch [29][800/1027] lr: 2.280e-02, eta: 16:25:39, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4138, top5_acc: 0.7013, loss_cls: 7.3883, loss: 7.3883 2025-04-29 09:41:44,525 - pyskl - INFO - Epoch [29][900/1027] lr: 2.278e-02, eta: 16:24:52, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7131, loss_cls: 7.4047, loss: 7.4047 2025-04-29 09:42:32,206 - pyskl - INFO - Epoch [29][1000/1027] lr: 2.277e-02, eta: 16:24:05, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4244, top5_acc: 0.7150, loss_cls: 7.3430, loss: 7.3430 2025-04-29 09:42:45,609 - pyskl - INFO - Saving checkpoint at 29 epochs 2025-04-29 09:43:25,657 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 09:43:25,729 - pyskl - INFO - top1_acc 0.4325 top5_acc 0.7772 2025-04-29 09:43:25,729 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 09:43:25,737 - pyskl - INFO - mean_acc 0.4348 2025-04-29 09:43:25,801 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_27.pth was removed 2025-04-29 09:43:27,435 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. 2025-04-29 09:43:27,437 - pyskl - INFO - Best top1_acc is 0.4325 at 29 epoch. 2025-04-29 09:43:27,440 - pyskl - INFO - Epoch(val) [29][413] top1_acc: 0.4325, top5_acc: 0.7772, mean_class_accuracy: 0.4348 2025-04-29 09:44:31,710 - pyskl - INFO - Epoch [30][100/1027] lr: 2.275e-02, eta: 16:23:21, time: 0.643, data_time: 0.257, memory: 7959, top1_acc: 0.4325, top5_acc: 0.7375, loss_cls: 7.1360, loss: 7.1360 2025-04-29 09:45:15,913 - pyskl - INFO - Epoch [30][200/1027] lr: 2.274e-02, eta: 16:22:20, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.4238, top5_acc: 0.7325, loss_cls: 7.2672, loss: 7.2672 2025-04-29 09:46:01,997 - pyskl - INFO - Epoch [30][300/1027] lr: 2.272e-02, eta: 16:21:27, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.4194, top5_acc: 0.7163, loss_cls: 7.3095, loss: 7.3095 2025-04-29 09:46:48,668 - pyskl - INFO - Epoch [30][400/1027] lr: 2.271e-02, eta: 16:20:36, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.4188, top5_acc: 0.7212, loss_cls: 7.2541, loss: 7.2541 2025-04-29 09:47:35,814 - pyskl - INFO - Epoch [30][500/1027] lr: 2.269e-02, eta: 16:19:47, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.3944, top5_acc: 0.7063, loss_cls: 7.3393, loss: 7.3393 2025-04-29 09:48:22,390 - pyskl - INFO - Epoch [30][600/1027] lr: 2.268e-02, eta: 16:18:55, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.4106, top5_acc: 0.7188, loss_cls: 7.2751, loss: 7.2751 2025-04-29 09:49:09,382 - pyskl - INFO - Epoch [30][700/1027] lr: 2.266e-02, eta: 16:18:06, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.3875, top5_acc: 0.7025, loss_cls: 7.5368, loss: 7.5368 2025-04-29 09:49:56,766 - pyskl - INFO - Epoch [30][800/1027] lr: 2.265e-02, eta: 16:17:18, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4069, top5_acc: 0.7037, loss_cls: 7.3735, loss: 7.3735 2025-04-29 09:50:44,280 - pyskl - INFO - Epoch [30][900/1027] lr: 2.263e-02, eta: 16:16:31, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4100, top5_acc: 0.7100, loss_cls: 7.3390, loss: 7.3390 2025-04-29 09:51:31,845 - pyskl - INFO - Epoch [30][1000/1027] lr: 2.262e-02, eta: 16:15:43, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7225, loss_cls: 7.3056, loss: 7.3056 2025-04-29 09:51:45,372 - pyskl - INFO - Saving checkpoint at 30 epochs 2025-04-29 09:52:26,895 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 09:52:26,967 - pyskl - INFO - top1_acc 0.4352 top5_acc 0.7738 2025-04-29 09:52:26,967 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 09:52:26,975 - pyskl - INFO - mean_acc 0.4408 2025-04-29 09:52:27,038 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_29.pth was removed 2025-04-29 09:52:28,671 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. 2025-04-29 09:52:28,672 - pyskl - INFO - Best top1_acc is 0.4352 at 30 epoch. 2025-04-29 09:52:28,675 - pyskl - INFO - Epoch(val) [30][413] top1_acc: 0.4352, top5_acc: 0.7738, mean_class_accuracy: 0.4408 2025-04-29 09:53:35,338 - pyskl - INFO - Epoch [31][100/1027] lr: 2.260e-02, eta: 16:15:08, time: 0.667, data_time: 0.263, memory: 7959, top1_acc: 0.4569, top5_acc: 0.7538, loss_cls: 7.0081, loss: 7.0081 2025-04-29 09:54:21,127 - pyskl - INFO - Epoch [31][200/1027] lr: 2.258e-02, eta: 16:14:14, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7250, loss_cls: 7.2385, loss: 7.2385 2025-04-29 09:55:09,910 - pyskl - INFO - Epoch [31][300/1027] lr: 2.257e-02, eta: 16:13:31, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.4100, top5_acc: 0.6937, loss_cls: 7.3827, loss: 7.3827 2025-04-29 09:56:00,322 - pyskl - INFO - Epoch [31][400/1027] lr: 2.255e-02, eta: 16:12:55, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.3969, top5_acc: 0.7031, loss_cls: 7.3384, loss: 7.3384 2025-04-29 09:56:49,221 - pyskl - INFO - Epoch [31][500/1027] lr: 2.254e-02, eta: 16:12:13, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.4250, top5_acc: 0.7163, loss_cls: 7.2407, loss: 7.2407 2025-04-29 09:57:38,456 - pyskl - INFO - Epoch [31][600/1027] lr: 2.252e-02, eta: 16:11:32, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.4256, top5_acc: 0.7319, loss_cls: 7.2438, loss: 7.2438 2025-04-29 09:58:28,221 - pyskl - INFO - Epoch [31][700/1027] lr: 2.251e-02, eta: 16:10:53, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.4044, top5_acc: 0.6913, loss_cls: 7.4902, loss: 7.4902 2025-04-29 09:59:18,395 - pyskl - INFO - Epoch [31][800/1027] lr: 2.249e-02, eta: 16:10:16, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.4062, top5_acc: 0.7131, loss_cls: 7.3660, loss: 7.3660 2025-04-29 10:00:08,608 - pyskl - INFO - Epoch [31][900/1027] lr: 2.248e-02, eta: 16:09:39, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.4031, top5_acc: 0.7075, loss_cls: 7.3025, loss: 7.3025 2025-04-29 10:00:59,634 - pyskl - INFO - Epoch [31][1000/1027] lr: 2.246e-02, eta: 16:09:05, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.4263, top5_acc: 0.7462, loss_cls: 7.0894, loss: 7.0894 2025-04-29 10:01:13,714 - pyskl - INFO - Saving checkpoint at 31 epochs 2025-04-29 10:01:55,424 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 10:01:55,497 - pyskl - INFO - top1_acc 0.4449 top5_acc 0.7644 2025-04-29 10:01:55,498 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 10:01:55,506 - pyskl - INFO - mean_acc 0.4436 2025-04-29 10:01:55,569 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_30.pth was removed 2025-04-29 10:01:57,213 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_31.pth. 2025-04-29 10:01:57,214 - pyskl - INFO - Best top1_acc is 0.4449 at 31 epoch. 2025-04-29 10:01:57,217 - pyskl - INFO - Epoch(val) [31][413] top1_acc: 0.4449, top5_acc: 0.7644, mean_class_accuracy: 0.4436 2025-04-29 10:03:02,982 - pyskl - INFO - Epoch [32][100/1027] lr: 2.244e-02, eta: 16:08:25, time: 0.658, data_time: 0.264, memory: 7959, top1_acc: 0.4431, top5_acc: 0.7281, loss_cls: 7.1799, loss: 7.1799 2025-04-29 10:03:48,617 - pyskl - INFO - Epoch [32][200/1027] lr: 2.243e-02, eta: 16:07:30, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.4238, top5_acc: 0.7119, loss_cls: 7.2746, loss: 7.2746 2025-04-29 10:04:35,109 - pyskl - INFO - Epoch [32][300/1027] lr: 2.241e-02, eta: 16:06:38, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.4269, top5_acc: 0.7525, loss_cls: 7.1985, loss: 7.1985 2025-04-29 10:05:22,613 - pyskl - INFO - Epoch [32][400/1027] lr: 2.239e-02, eta: 16:05:50, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4294, top5_acc: 0.7087, loss_cls: 7.2861, loss: 7.2861 2025-04-29 10:06:10,714 - pyskl - INFO - Epoch [32][500/1027] lr: 2.238e-02, eta: 16:05:05, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4081, top5_acc: 0.7087, loss_cls: 7.3637, loss: 7.3637 2025-04-29 10:06:58,847 - pyskl - INFO - Epoch [32][600/1027] lr: 2.236e-02, eta: 16:04:19, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4406, top5_acc: 0.7325, loss_cls: 7.1355, loss: 7.1355 2025-04-29 10:07:46,783 - pyskl - INFO - Epoch [32][700/1027] lr: 2.235e-02, eta: 16:03:33, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4250, top5_acc: 0.7275, loss_cls: 7.2069, loss: 7.2069 2025-04-29 10:08:34,221 - pyskl - INFO - Epoch [32][800/1027] lr: 2.233e-02, eta: 16:02:45, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4263, top5_acc: 0.7169, loss_cls: 7.2669, loss: 7.2669 2025-04-29 10:09:21,784 - pyskl - INFO - Epoch [32][900/1027] lr: 2.232e-02, eta: 16:01:57, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4050, top5_acc: 0.6994, loss_cls: 7.4135, loss: 7.4135 2025-04-29 10:10:09,421 - pyskl - INFO - Epoch [32][1000/1027] lr: 2.230e-02, eta: 16:01:10, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4056, top5_acc: 0.7044, loss_cls: 7.4152, loss: 7.4152 2025-04-29 10:10:23,301 - pyskl - INFO - Saving checkpoint at 32 epochs 2025-04-29 10:11:04,861 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 10:11:04,936 - pyskl - INFO - top1_acc 0.4655 top5_acc 0.7848 2025-04-29 10:11:04,937 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 10:11:04,946 - pyskl - INFO - mean_acc 0.4647 2025-04-29 10:11:05,011 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_31.pth was removed 2025-04-29 10:11:06,783 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. 2025-04-29 10:11:06,785 - pyskl - INFO - Best top1_acc is 0.4655 at 32 epoch. 2025-04-29 10:11:06,788 - pyskl - INFO - Epoch(val) [32][413] top1_acc: 0.4655, top5_acc: 0.7848, mean_class_accuracy: 0.4647 2025-04-29 10:12:11,586 - pyskl - INFO - Epoch [33][100/1027] lr: 2.228e-02, eta: 16:00:25, time: 0.648, data_time: 0.264, memory: 7959, top1_acc: 0.4594, top5_acc: 0.7469, loss_cls: 7.1277, loss: 7.1277 2025-04-29 10:12:54,566 - pyskl - INFO - Epoch [33][200/1027] lr: 2.226e-02, eta: 15:59:21, time: 0.430, data_time: 0.000, memory: 7959, top1_acc: 0.4400, top5_acc: 0.7369, loss_cls: 7.1506, loss: 7.1506 2025-04-29 10:13:40,222 - pyskl - INFO - Epoch [33][300/1027] lr: 2.225e-02, eta: 15:58:26, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.4313, top5_acc: 0.7200, loss_cls: 7.2069, loss: 7.2069 2025-04-29 10:14:27,861 - pyskl - INFO - Epoch [33][400/1027] lr: 2.223e-02, eta: 15:57:39, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4219, top5_acc: 0.7244, loss_cls: 7.1837, loss: 7.1837 2025-04-29 10:15:15,848 - pyskl - INFO - Epoch [33][500/1027] lr: 2.222e-02, eta: 15:56:53, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4238, top5_acc: 0.7319, loss_cls: 7.2786, loss: 7.2786 2025-04-29 10:16:03,164 - pyskl - INFO - Epoch [33][600/1027] lr: 2.220e-02, eta: 15:56:04, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4263, top5_acc: 0.7300, loss_cls: 7.1557, loss: 7.1557 2025-04-29 10:16:50,320 - pyskl - INFO - Epoch [33][700/1027] lr: 2.218e-02, eta: 15:55:15, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4363, top5_acc: 0.7206, loss_cls: 7.2349, loss: 7.2349 2025-04-29 10:17:37,849 - pyskl - INFO - Epoch [33][800/1027] lr: 2.217e-02, eta: 15:54:28, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4075, top5_acc: 0.7150, loss_cls: 7.3347, loss: 7.3347 2025-04-29 10:18:25,169 - pyskl - INFO - Epoch [33][900/1027] lr: 2.215e-02, eta: 15:53:39, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3994, top5_acc: 0.7206, loss_cls: 7.3202, loss: 7.3202 2025-04-29 10:19:12,681 - pyskl - INFO - Epoch [33][1000/1027] lr: 2.214e-02, eta: 15:52:51, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4213, top5_acc: 0.7194, loss_cls: 7.1939, loss: 7.1939 2025-04-29 10:19:26,217 - pyskl - INFO - Saving checkpoint at 33 epochs 2025-04-29 10:20:06,271 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 10:20:06,343 - pyskl - INFO - top1_acc 0.4486 top5_acc 0.7757 2025-04-29 10:20:06,343 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 10:20:06,351 - pyskl - INFO - mean_acc 0.4516 2025-04-29 10:20:06,353 - pyskl - INFO - Epoch(val) [33][413] top1_acc: 0.4486, top5_acc: 0.7757, mean_class_accuracy: 0.4516 2025-04-29 10:21:11,132 - pyskl - INFO - Epoch [34][100/1027] lr: 2.212e-02, eta: 15:52:06, time: 0.648, data_time: 0.263, memory: 7959, top1_acc: 0.4313, top5_acc: 0.7406, loss_cls: 7.2144, loss: 7.2144 2025-04-29 10:21:55,297 - pyskl - INFO - Epoch [34][200/1027] lr: 2.210e-02, eta: 15:51:07, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.4444, top5_acc: 0.7362, loss_cls: 7.1642, loss: 7.1642 2025-04-29 10:22:40,832 - pyskl - INFO - Epoch [34][300/1027] lr: 2.208e-02, eta: 15:50:12, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.4288, top5_acc: 0.7362, loss_cls: 7.1275, loss: 7.1275 2025-04-29 10:23:28,010 - pyskl - INFO - Epoch [34][400/1027] lr: 2.207e-02, eta: 15:49:23, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4281, top5_acc: 0.7244, loss_cls: 7.1463, loss: 7.1463 2025-04-29 10:24:15,231 - pyskl - INFO - Epoch [34][500/1027] lr: 2.205e-02, eta: 15:48:34, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4194, top5_acc: 0.7300, loss_cls: 7.1542, loss: 7.1542 2025-04-29 10:25:03,232 - pyskl - INFO - Epoch [34][600/1027] lr: 2.203e-02, eta: 15:47:48, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4338, top5_acc: 0.7488, loss_cls: 7.2634, loss: 7.2634 2025-04-29 10:25:51,678 - pyskl - INFO - Epoch [34][700/1027] lr: 2.202e-02, eta: 15:47:04, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7225, loss_cls: 7.3460, loss: 7.3460 2025-04-29 10:26:39,047 - pyskl - INFO - Epoch [34][800/1027] lr: 2.200e-02, eta: 15:46:16, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4356, top5_acc: 0.7156, loss_cls: 7.1811, loss: 7.1811 2025-04-29 10:27:26,621 - pyskl - INFO - Epoch [34][900/1027] lr: 2.198e-02, eta: 15:45:28, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4462, top5_acc: 0.7362, loss_cls: 7.1503, loss: 7.1503 2025-04-29 10:28:13,507 - pyskl - INFO - Epoch [34][1000/1027] lr: 2.197e-02, eta: 15:44:38, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4213, top5_acc: 0.7006, loss_cls: 7.4535, loss: 7.4535 2025-04-29 10:28:26,799 - pyskl - INFO - Saving checkpoint at 34 epochs 2025-04-29 10:29:07,034 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 10:29:07,110 - pyskl - INFO - top1_acc 0.4563 top5_acc 0.7772 2025-04-29 10:29:07,110 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 10:29:07,118 - pyskl - INFO - mean_acc 0.4553 2025-04-29 10:29:07,120 - pyskl - INFO - Epoch(val) [34][413] top1_acc: 0.4563, top5_acc: 0.7772, mean_class_accuracy: 0.4553 2025-04-29 10:30:11,030 - pyskl - INFO - Epoch [35][100/1027] lr: 2.195e-02, eta: 15:43:50, time: 0.639, data_time: 0.254, memory: 7959, top1_acc: 0.4562, top5_acc: 0.7519, loss_cls: 7.0004, loss: 7.0004 2025-04-29 10:30:55,380 - pyskl - INFO - Epoch [35][200/1027] lr: 2.193e-02, eta: 15:42:51, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.4356, top5_acc: 0.7425, loss_cls: 6.9914, loss: 6.9914 2025-04-29 10:31:42,077 - pyskl - INFO - Epoch [35][300/1027] lr: 2.191e-02, eta: 15:42:01, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.4231, top5_acc: 0.7562, loss_cls: 7.0823, loss: 7.0823 2025-04-29 10:32:27,984 - pyskl - INFO - Epoch [35][400/1027] lr: 2.190e-02, eta: 15:41:07, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.4631, top5_acc: 0.7438, loss_cls: 7.1165, loss: 7.1165 2025-04-29 10:33:15,276 - pyskl - INFO - Epoch [35][500/1027] lr: 2.188e-02, eta: 15:40:19, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7325, loss_cls: 7.2571, loss: 7.2571 2025-04-29 10:34:02,382 - pyskl - INFO - Epoch [35][600/1027] lr: 2.186e-02, eta: 15:39:30, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4062, top5_acc: 0.7163, loss_cls: 7.2960, loss: 7.2960 2025-04-29 10:34:50,471 - pyskl - INFO - Epoch [35][700/1027] lr: 2.185e-02, eta: 15:38:44, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4387, top5_acc: 0.7356, loss_cls: 7.0580, loss: 7.0580 2025-04-29 10:35:38,551 - pyskl - INFO - Epoch [35][800/1027] lr: 2.183e-02, eta: 15:37:58, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4163, top5_acc: 0.7256, loss_cls: 7.2925, loss: 7.2925 2025-04-29 10:36:27,627 - pyskl - INFO - Epoch [35][900/1027] lr: 2.181e-02, eta: 15:37:16, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.4119, top5_acc: 0.7169, loss_cls: 7.3798, loss: 7.3798 2025-04-29 10:37:15,574 - pyskl - INFO - Epoch [35][1000/1027] lr: 2.179e-02, eta: 15:36:29, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4206, top5_acc: 0.7200, loss_cls: 7.2036, loss: 7.2036 2025-04-29 10:37:29,159 - pyskl - INFO - Saving checkpoint at 35 epochs 2025-04-29 10:38:08,921 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 10:38:08,992 - pyskl - INFO - top1_acc 0.4767 top5_acc 0.8019 2025-04-29 10:38:08,993 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 10:38:09,000 - pyskl - INFO - mean_acc 0.4754 2025-04-29 10:38:09,063 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_32.pth was removed 2025-04-29 10:38:10,637 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth. 2025-04-29 10:38:10,639 - pyskl - INFO - Best top1_acc is 0.4767 at 35 epoch. 2025-04-29 10:38:10,642 - pyskl - INFO - Epoch(val) [35][413] top1_acc: 0.4767, top5_acc: 0.8019, mean_class_accuracy: 0.4754 2025-04-29 10:39:15,053 - pyskl - INFO - Epoch [36][100/1027] lr: 2.177e-02, eta: 15:35:42, time: 0.644, data_time: 0.257, memory: 7959, top1_acc: 0.4763, top5_acc: 0.7581, loss_cls: 6.8959, loss: 6.8959 2025-04-29 10:39:58,860 - pyskl - INFO - Epoch [36][200/1027] lr: 2.176e-02, eta: 15:34:42, time: 0.438, data_time: 0.000, memory: 7959, top1_acc: 0.4506, top5_acc: 0.7488, loss_cls: 7.0876, loss: 7.0876 2025-04-29 10:40:45,125 - pyskl - INFO - Epoch [36][300/1027] lr: 2.174e-02, eta: 15:33:50, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.4506, top5_acc: 0.7494, loss_cls: 6.9163, loss: 6.9163 2025-04-29 10:41:31,652 - pyskl - INFO - Epoch [36][400/1027] lr: 2.172e-02, eta: 15:32:59, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.4444, top5_acc: 0.7400, loss_cls: 7.1254, loss: 7.1254 2025-04-29 10:42:18,524 - pyskl - INFO - Epoch [36][500/1027] lr: 2.170e-02, eta: 15:32:10, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4462, top5_acc: 0.7362, loss_cls: 7.0728, loss: 7.0728 2025-04-29 10:43:05,417 - pyskl - INFO - Epoch [36][600/1027] lr: 2.169e-02, eta: 15:31:20, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4256, top5_acc: 0.7188, loss_cls: 7.2932, loss: 7.2932 2025-04-29 10:43:52,523 - pyskl - INFO - Epoch [36][700/1027] lr: 2.167e-02, eta: 15:30:31, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7450, loss_cls: 7.1936, loss: 7.1936 2025-04-29 10:44:39,341 - pyskl - INFO - Epoch [36][800/1027] lr: 2.165e-02, eta: 15:29:41, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.4487, top5_acc: 0.7350, loss_cls: 7.0854, loss: 7.0854 2025-04-29 10:45:26,215 - pyskl - INFO - Epoch [36][900/1027] lr: 2.163e-02, eta: 15:28:51, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7262, loss_cls: 7.2317, loss: 7.2317 2025-04-29 10:46:13,244 - pyskl - INFO - Epoch [36][1000/1027] lr: 2.162e-02, eta: 15:28:02, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.4219, top5_acc: 0.7200, loss_cls: 7.2564, loss: 7.2564 2025-04-29 10:46:26,725 - pyskl - INFO - Saving checkpoint at 36 epochs 2025-04-29 10:47:06,691 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 10:47:06,762 - pyskl - INFO - top1_acc 0.4908 top5_acc 0.8016 2025-04-29 10:47:06,762 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 10:47:06,770 - pyskl - INFO - mean_acc 0.4936 2025-04-29 10:47:06,832 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_35.pth was removed 2025-04-29 10:47:08,506 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. 2025-04-29 10:47:08,507 - pyskl - INFO - Best top1_acc is 0.4908 at 36 epoch. 2025-04-29 10:47:08,510 - pyskl - INFO - Epoch(val) [36][413] top1_acc: 0.4908, top5_acc: 0.8016, mean_class_accuracy: 0.4936 2025-04-29 10:48:13,604 - pyskl - INFO - Epoch [37][100/1027] lr: 2.159e-02, eta: 15:27:17, time: 0.651, data_time: 0.265, memory: 7959, top1_acc: 0.4606, top5_acc: 0.7631, loss_cls: 6.9074, loss: 6.9074 2025-04-29 10:48:57,096 - pyskl - INFO - Epoch [37][200/1027] lr: 2.158e-02, eta: 15:26:16, time: 0.435, data_time: 0.000, memory: 7959, top1_acc: 0.4650, top5_acc: 0.7762, loss_cls: 6.7786, loss: 6.7786 2025-04-29 10:49:43,089 - pyskl - INFO - Epoch [37][300/1027] lr: 2.156e-02, eta: 15:25:24, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7362, loss_cls: 7.1718, loss: 7.1718 2025-04-29 10:50:31,112 - pyskl - INFO - Epoch [37][400/1027] lr: 2.154e-02, eta: 15:24:38, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4481, top5_acc: 0.7381, loss_cls: 7.1132, loss: 7.1132 2025-04-29 10:51:19,731 - pyskl - INFO - Epoch [37][500/1027] lr: 2.152e-02, eta: 15:23:54, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.4325, top5_acc: 0.7113, loss_cls: 7.2271, loss: 7.2271 2025-04-29 10:52:09,567 - pyskl - INFO - Epoch [37][600/1027] lr: 2.151e-02, eta: 15:23:13, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.4569, top5_acc: 0.7444, loss_cls: 6.9668, loss: 6.9668 2025-04-29 10:52:59,363 - pyskl - INFO - Epoch [37][700/1027] lr: 2.149e-02, eta: 15:22:32, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.4487, top5_acc: 0.7500, loss_cls: 6.9720, loss: 6.9720 2025-04-29 10:53:49,814 - pyskl - INFO - Epoch [37][800/1027] lr: 2.147e-02, eta: 15:21:54, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.4356, top5_acc: 0.7144, loss_cls: 7.2691, loss: 7.2691 2025-04-29 10:54:40,546 - pyskl - INFO - Epoch [37][900/1027] lr: 2.145e-02, eta: 15:21:16, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.4344, top5_acc: 0.7262, loss_cls: 7.1325, loss: 7.1325 2025-04-29 10:55:30,956 - pyskl - INFO - Epoch [37][1000/1027] lr: 2.144e-02, eta: 15:20:37, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.4150, top5_acc: 0.7219, loss_cls: 7.2577, loss: 7.2577 2025-04-29 10:55:45,189 - pyskl - INFO - Saving checkpoint at 37 epochs 2025-04-29 10:56:26,171 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 10:56:26,244 - pyskl - INFO - top1_acc 0.4851 top5_acc 0.8048 2025-04-29 10:56:26,244 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 10:56:26,254 - pyskl - INFO - mean_acc 0.4873 2025-04-29 10:56:26,256 - pyskl - INFO - Epoch(val) [37][413] top1_acc: 0.4851, top5_acc: 0.8048, mean_class_accuracy: 0.4873 2025-04-29 10:57:32,333 - pyskl - INFO - Epoch [38][100/1027] lr: 2.141e-02, eta: 15:19:54, time: 0.661, data_time: 0.259, memory: 7959, top1_acc: 0.4619, top5_acc: 0.7575, loss_cls: 7.0106, loss: 7.0106 2025-04-29 10:58:19,412 - pyskl - INFO - Epoch [38][200/1027] lr: 2.140e-02, eta: 15:19:04, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4531, top5_acc: 0.7419, loss_cls: 6.9797, loss: 6.9797 2025-04-29 10:59:07,942 - pyskl - INFO - Epoch [38][300/1027] lr: 2.138e-02, eta: 15:18:20, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.4437, top5_acc: 0.7525, loss_cls: 7.0002, loss: 7.0002 2025-04-29 10:59:57,551 - pyskl - INFO - Epoch [38][400/1027] lr: 2.136e-02, eta: 15:17:38, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7412, loss_cls: 6.9505, loss: 6.9505 2025-04-29 11:00:46,505 - pyskl - INFO - Epoch [38][500/1027] lr: 2.134e-02, eta: 15:16:55, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.4619, top5_acc: 0.7438, loss_cls: 7.0519, loss: 7.0519 2025-04-29 11:01:35,614 - pyskl - INFO - Epoch [38][600/1027] lr: 2.132e-02, eta: 15:16:11, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.4281, top5_acc: 0.7400, loss_cls: 7.1785, loss: 7.1785 2025-04-29 11:02:25,106 - pyskl - INFO - Epoch [38][700/1027] lr: 2.131e-02, eta: 15:15:29, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.4675, top5_acc: 0.7681, loss_cls: 6.9042, loss: 6.9042 2025-04-29 11:03:13,429 - pyskl - INFO - Epoch [38][800/1027] lr: 2.129e-02, eta: 15:14:44, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7344, loss_cls: 7.1422, loss: 7.1422 2025-04-29 11:04:00,802 - pyskl - INFO - Epoch [38][900/1027] lr: 2.127e-02, eta: 15:13:56, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4587, top5_acc: 0.7494, loss_cls: 7.0190, loss: 7.0190 2025-04-29 11:04:48,383 - pyskl - INFO - Epoch [38][1000/1027] lr: 2.125e-02, eta: 15:13:08, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4481, top5_acc: 0.7281, loss_cls: 7.1930, loss: 7.1930 2025-04-29 11:05:01,864 - pyskl - INFO - Saving checkpoint at 38 epochs 2025-04-29 11:05:42,467 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 11:05:42,538 - pyskl - INFO - top1_acc 0.4442 top5_acc 0.7601 2025-04-29 11:05:42,539 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 11:05:42,546 - pyskl - INFO - mean_acc 0.4365 2025-04-29 11:05:42,548 - pyskl - INFO - Epoch(val) [38][413] top1_acc: 0.4442, top5_acc: 0.7601, mean_class_accuracy: 0.4365 2025-04-29 11:06:46,637 - pyskl - INFO - Epoch [39][100/1027] lr: 2.123e-02, eta: 15:12:18, time: 0.641, data_time: 0.257, memory: 7959, top1_acc: 0.4675, top5_acc: 0.7662, loss_cls: 6.8567, loss: 6.8567 2025-04-29 11:07:30,983 - pyskl - INFO - Epoch [39][200/1027] lr: 2.121e-02, eta: 15:11:21, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.4800, top5_acc: 0.7488, loss_cls: 6.9121, loss: 6.9121 2025-04-29 11:08:17,442 - pyskl - INFO - Epoch [39][300/1027] lr: 2.119e-02, eta: 15:10:30, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.4806, top5_acc: 0.7525, loss_cls: 6.9120, loss: 6.9120 2025-04-29 11:09:03,755 - pyskl - INFO - Epoch [39][400/1027] lr: 2.117e-02, eta: 15:09:38, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.4194, top5_acc: 0.7175, loss_cls: 7.1685, loss: 7.1685 2025-04-29 11:09:50,829 - pyskl - INFO - Epoch [39][500/1027] lr: 2.115e-02, eta: 15:08:49, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4531, top5_acc: 0.7381, loss_cls: 7.0767, loss: 7.0767 2025-04-29 11:10:38,354 - pyskl - INFO - Epoch [39][600/1027] lr: 2.114e-02, eta: 15:08:01, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4444, top5_acc: 0.7362, loss_cls: 7.1106, loss: 7.1106 2025-04-29 11:11:25,330 - pyskl - INFO - Epoch [39][700/1027] lr: 2.112e-02, eta: 15:07:12, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.4738, top5_acc: 0.7494, loss_cls: 6.9537, loss: 6.9537 2025-04-29 11:12:12,799 - pyskl - INFO - Epoch [39][800/1027] lr: 2.110e-02, eta: 15:06:24, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4313, top5_acc: 0.7369, loss_cls: 7.0553, loss: 7.0553 2025-04-29 11:13:00,383 - pyskl - INFO - Epoch [39][900/1027] lr: 2.108e-02, eta: 15:05:36, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4188, top5_acc: 0.7400, loss_cls: 7.1594, loss: 7.1594 2025-04-29 11:13:47,484 - pyskl - INFO - Epoch [39][1000/1027] lr: 2.106e-02, eta: 15:04:47, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4512, top5_acc: 0.7444, loss_cls: 7.0093, loss: 7.0093 2025-04-29 11:14:01,441 - pyskl - INFO - Saving checkpoint at 39 epochs 2025-04-29 11:14:41,269 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 11:14:41,351 - pyskl - INFO - top1_acc 0.4907 top5_acc 0.7836 2025-04-29 11:14:41,352 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 11:14:41,363 - pyskl - INFO - mean_acc 0.4882 2025-04-29 11:14:41,366 - pyskl - INFO - Epoch(val) [39][413] top1_acc: 0.4907, top5_acc: 0.7836, mean_class_accuracy: 0.4882 2025-04-29 11:15:46,300 - pyskl - INFO - Epoch [40][100/1027] lr: 2.104e-02, eta: 15:03:59, time: 0.649, data_time: 0.267, memory: 7959, top1_acc: 0.4656, top5_acc: 0.7556, loss_cls: 7.0496, loss: 7.0496 2025-04-29 11:16:29,895 - pyskl - INFO - Epoch [40][200/1027] lr: 2.102e-02, eta: 15:03:00, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.4981, top5_acc: 0.7706, loss_cls: 6.8501, loss: 6.8501 2025-04-29 11:17:15,718 - pyskl - INFO - Epoch [40][300/1027] lr: 2.100e-02, eta: 15:02:07, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.4669, top5_acc: 0.7612, loss_cls: 7.0441, loss: 7.0441 2025-04-29 11:18:03,109 - pyskl - INFO - Epoch [40][400/1027] lr: 2.098e-02, eta: 15:01:19, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4612, top5_acc: 0.7556, loss_cls: 6.9845, loss: 6.9845 2025-04-29 11:18:50,441 - pyskl - INFO - Epoch [40][500/1027] lr: 2.096e-02, eta: 15:00:31, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4256, top5_acc: 0.7356, loss_cls: 7.0916, loss: 7.0916 2025-04-29 11:19:38,429 - pyskl - INFO - Epoch [40][600/1027] lr: 2.094e-02, eta: 14:59:44, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4656, top5_acc: 0.7444, loss_cls: 6.9452, loss: 6.9452 2025-04-29 11:20:25,522 - pyskl - INFO - Epoch [40][700/1027] lr: 2.093e-02, eta: 14:58:55, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4550, top5_acc: 0.7431, loss_cls: 7.0586, loss: 7.0586 2025-04-29 11:21:13,216 - pyskl - INFO - Epoch [40][800/1027] lr: 2.091e-02, eta: 14:58:08, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4531, top5_acc: 0.7462, loss_cls: 7.0984, loss: 7.0984 2025-04-29 11:22:00,825 - pyskl - INFO - Epoch [40][900/1027] lr: 2.089e-02, eta: 14:57:20, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4763, top5_acc: 0.7519, loss_cls: 6.8290, loss: 6.8290 2025-04-29 11:22:47,708 - pyskl - INFO - Epoch [40][1000/1027] lr: 2.087e-02, eta: 14:56:31, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7338, loss_cls: 7.1699, loss: 7.1699 2025-04-29 11:23:01,552 - pyskl - INFO - Saving checkpoint at 40 epochs 2025-04-29 11:23:42,111 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 11:23:42,182 - pyskl - INFO - top1_acc 0.4872 top5_acc 0.8013 2025-04-29 11:23:42,182 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 11:23:42,189 - pyskl - INFO - mean_acc 0.4898 2025-04-29 11:23:42,191 - pyskl - INFO - Epoch(val) [40][413] top1_acc: 0.4872, top5_acc: 0.8013, mean_class_accuracy: 0.4898 2025-04-29 11:24:46,690 - pyskl - INFO - Epoch [41][100/1027] lr: 2.085e-02, eta: 14:55:41, time: 0.645, data_time: 0.258, memory: 7959, top1_acc: 0.4919, top5_acc: 0.7775, loss_cls: 6.7157, loss: 6.7157 2025-04-29 11:25:30,262 - pyskl - INFO - Epoch [41][200/1027] lr: 2.083e-02, eta: 14:54:43, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.4575, top5_acc: 0.7506, loss_cls: 6.9771, loss: 6.9771 2025-04-29 11:26:16,555 - pyskl - INFO - Epoch [41][300/1027] lr: 2.081e-02, eta: 14:53:51, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.4688, top5_acc: 0.7675, loss_cls: 6.9630, loss: 6.9630 2025-04-29 11:27:03,930 - pyskl - INFO - Epoch [41][400/1027] lr: 2.079e-02, eta: 14:53:03, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4769, top5_acc: 0.7575, loss_cls: 6.9105, loss: 6.9105 2025-04-29 11:27:51,215 - pyskl - INFO - Epoch [41][500/1027] lr: 2.077e-02, eta: 14:52:15, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4713, top5_acc: 0.7575, loss_cls: 6.9644, loss: 6.9644 2025-04-29 11:28:38,355 - pyskl - INFO - Epoch [41][600/1027] lr: 2.075e-02, eta: 14:51:26, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4469, top5_acc: 0.7456, loss_cls: 7.0658, loss: 7.0658 2025-04-29 11:29:25,810 - pyskl - INFO - Epoch [41][700/1027] lr: 2.073e-02, eta: 14:50:38, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4469, top5_acc: 0.7319, loss_cls: 7.0726, loss: 7.0726 2025-04-29 11:30:13,395 - pyskl - INFO - Epoch [41][800/1027] lr: 2.071e-02, eta: 14:49:50, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4400, top5_acc: 0.7262, loss_cls: 7.1088, loss: 7.1088 2025-04-29 11:31:01,042 - pyskl - INFO - Epoch [41][900/1027] lr: 2.069e-02, eta: 14:49:03, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4544, top5_acc: 0.7538, loss_cls: 6.9808, loss: 6.9808 2025-04-29 11:31:47,705 - pyskl - INFO - Epoch [41][1000/1027] lr: 2.067e-02, eta: 14:48:13, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.4500, top5_acc: 0.7381, loss_cls: 7.0554, loss: 7.0554 2025-04-29 11:32:01,143 - pyskl - INFO - Saving checkpoint at 41 epochs 2025-04-29 11:32:41,106 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 11:32:41,179 - pyskl - INFO - top1_acc 0.4519 top5_acc 0.7697 2025-04-29 11:32:41,179 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 11:32:41,186 - pyskl - INFO - mean_acc 0.4550 2025-04-29 11:32:41,188 - pyskl - INFO - Epoch(val) [41][413] top1_acc: 0.4519, top5_acc: 0.7697, mean_class_accuracy: 0.4550 2025-04-29 11:33:45,499 - pyskl - INFO - Epoch [42][100/1027] lr: 2.065e-02, eta: 14:47:23, time: 0.643, data_time: 0.262, memory: 7959, top1_acc: 0.4637, top5_acc: 0.7644, loss_cls: 6.8450, loss: 6.8450 2025-04-29 11:34:29,443 - pyskl - INFO - Epoch [42][200/1027] lr: 2.063e-02, eta: 14:46:25, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.4731, top5_acc: 0.7538, loss_cls: 6.9800, loss: 6.9800 2025-04-29 11:35:15,364 - pyskl - INFO - Epoch [42][300/1027] lr: 2.061e-02, eta: 14:45:33, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.4750, top5_acc: 0.7606, loss_cls: 6.7831, loss: 6.7831 2025-04-29 11:36:02,143 - pyskl - INFO - Epoch [42][400/1027] lr: 2.059e-02, eta: 14:44:44, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.4763, top5_acc: 0.7525, loss_cls: 6.9898, loss: 6.9898 2025-04-29 11:36:49,413 - pyskl - INFO - Epoch [42][500/1027] lr: 2.057e-02, eta: 14:43:55, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4675, top5_acc: 0.7456, loss_cls: 6.9965, loss: 6.9965 2025-04-29 11:37:36,793 - pyskl - INFO - Epoch [42][600/1027] lr: 2.055e-02, eta: 14:43:07, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7438, loss_cls: 7.0636, loss: 7.0636 2025-04-29 11:38:24,317 - pyskl - INFO - Epoch [42][700/1027] lr: 2.053e-02, eta: 14:42:19, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4650, top5_acc: 0.7656, loss_cls: 6.9653, loss: 6.9653 2025-04-29 11:39:11,383 - pyskl - INFO - Epoch [42][800/1027] lr: 2.051e-02, eta: 14:41:30, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4731, top5_acc: 0.7594, loss_cls: 6.9490, loss: 6.9490 2025-04-29 11:39:59,058 - pyskl - INFO - Epoch [42][900/1027] lr: 2.049e-02, eta: 14:40:43, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4487, top5_acc: 0.7469, loss_cls: 6.9566, loss: 6.9566 2025-04-29 11:40:46,127 - pyskl - INFO - Epoch [42][1000/1027] lr: 2.047e-02, eta: 14:39:54, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4688, top5_acc: 0.7612, loss_cls: 6.8950, loss: 6.8950 2025-04-29 11:40:59,294 - pyskl - INFO - Saving checkpoint at 42 epochs 2025-04-29 11:41:38,902 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 11:41:38,975 - pyskl - INFO - top1_acc 0.4981 top5_acc 0.8112 2025-04-29 11:41:38,975 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 11:41:38,983 - pyskl - INFO - mean_acc 0.5004 2025-04-29 11:41:39,044 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_36.pth was removed 2025-04-29 11:41:40,692 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_42.pth. 2025-04-29 11:41:40,694 - pyskl - INFO - Best top1_acc is 0.4981 at 42 epoch. 2025-04-29 11:41:40,707 - pyskl - INFO - Epoch(val) [42][413] top1_acc: 0.4981, top5_acc: 0.8112, mean_class_accuracy: 0.5004 2025-04-29 11:42:46,706 - pyskl - INFO - Epoch [43][100/1027] lr: 2.045e-02, eta: 14:39:08, time: 0.660, data_time: 0.275, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7775, loss_cls: 6.6993, loss: 6.6993 2025-04-29 11:43:30,609 - pyskl - INFO - Epoch [43][200/1027] lr: 2.043e-02, eta: 14:38:11, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.4650, top5_acc: 0.7531, loss_cls: 6.8992, loss: 6.8992 2025-04-29 11:44:16,550 - pyskl - INFO - Epoch [43][300/1027] lr: 2.041e-02, eta: 14:37:19, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.4637, top5_acc: 0.7525, loss_cls: 6.9247, loss: 6.9247 2025-04-29 11:45:02,545 - pyskl - INFO - Epoch [43][400/1027] lr: 2.039e-02, eta: 14:36:27, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.4506, top5_acc: 0.7512, loss_cls: 6.9085, loss: 6.9085 2025-04-29 11:45:49,577 - pyskl - INFO - Epoch [43][500/1027] lr: 2.037e-02, eta: 14:35:38, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.4950, top5_acc: 0.7650, loss_cls: 6.7814, loss: 6.7814 2025-04-29 11:46:36,854 - pyskl - INFO - Epoch [43][600/1027] lr: 2.035e-02, eta: 14:34:50, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4719, top5_acc: 0.7506, loss_cls: 6.9079, loss: 6.9079 2025-04-29 11:47:23,959 - pyskl - INFO - Epoch [43][700/1027] lr: 2.033e-02, eta: 14:34:01, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4344, top5_acc: 0.7462, loss_cls: 6.9970, loss: 6.9970 2025-04-29 11:48:11,923 - pyskl - INFO - Epoch [43][800/1027] lr: 2.031e-02, eta: 14:33:15, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4537, top5_acc: 0.7500, loss_cls: 6.9987, loss: 6.9987 2025-04-29 11:48:59,329 - pyskl - INFO - Epoch [43][900/1027] lr: 2.029e-02, eta: 14:32:27, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4869, top5_acc: 0.7600, loss_cls: 6.8366, loss: 6.8366 2025-04-29 11:49:46,364 - pyskl - INFO - Epoch [43][1000/1027] lr: 2.027e-02, eta: 14:31:38, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.4494, top5_acc: 0.7369, loss_cls: 7.0125, loss: 7.0125 2025-04-29 11:49:59,912 - pyskl - INFO - Saving checkpoint at 43 epochs 2025-04-29 11:50:41,256 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 11:50:41,329 - pyskl - INFO - top1_acc 0.4858 top5_acc 0.8069 2025-04-29 11:50:41,329 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 11:50:41,337 - pyskl - INFO - mean_acc 0.4926 2025-04-29 11:50:41,338 - pyskl - INFO - Epoch(val) [43][413] top1_acc: 0.4858, top5_acc: 0.8069, mean_class_accuracy: 0.4926 2025-04-29 11:51:47,926 - pyskl - INFO - Epoch [44][100/1027] lr: 2.024e-02, eta: 14:30:52, time: 0.666, data_time: 0.262, memory: 7959, top1_acc: 0.4931, top5_acc: 0.7844, loss_cls: 6.7704, loss: 6.7704 2025-04-29 11:52:34,225 - pyskl - INFO - Epoch [44][200/1027] lr: 2.022e-02, eta: 14:30:02, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.4906, top5_acc: 0.7644, loss_cls: 6.7918, loss: 6.7918 2025-04-29 11:53:23,081 - pyskl - INFO - Epoch [44][300/1027] lr: 2.020e-02, eta: 14:29:17, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.4919, top5_acc: 0.7738, loss_cls: 6.7747, loss: 6.7747 2025-04-29 11:54:13,801 - pyskl - INFO - Epoch [44][400/1027] lr: 2.018e-02, eta: 14:28:37, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.4700, top5_acc: 0.7556, loss_cls: 6.9435, loss: 6.9435 2025-04-29 11:55:03,251 - pyskl - INFO - Epoch [44][500/1027] lr: 2.016e-02, eta: 14:27:54, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7544, loss_cls: 6.9523, loss: 6.9523 2025-04-29 11:55:53,210 - pyskl - INFO - Epoch [44][600/1027] lr: 2.014e-02, eta: 14:27:12, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.4788, top5_acc: 0.7712, loss_cls: 6.8524, loss: 6.8524 2025-04-29 11:56:43,230 - pyskl - INFO - Epoch [44][700/1027] lr: 2.012e-02, eta: 14:26:31, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.4700, top5_acc: 0.7512, loss_cls: 6.9229, loss: 6.9229 2025-04-29 11:57:33,654 - pyskl - INFO - Epoch [44][800/1027] lr: 2.010e-02, eta: 14:25:50, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.4600, top5_acc: 0.7419, loss_cls: 6.9277, loss: 6.9277 2025-04-29 11:58:24,614 - pyskl - INFO - Epoch [44][900/1027] lr: 2.008e-02, eta: 14:25:10, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.4756, top5_acc: 0.7544, loss_cls: 6.9518, loss: 6.9518 2025-04-29 11:59:14,115 - pyskl - INFO - Epoch [44][1000/1027] lr: 2.006e-02, eta: 14:24:27, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.4531, top5_acc: 0.7400, loss_cls: 6.9716, loss: 6.9716 2025-04-29 11:59:28,458 - pyskl - INFO - Saving checkpoint at 44 epochs 2025-04-29 12:00:10,524 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 12:00:10,596 - pyskl - INFO - top1_acc 0.4742 top5_acc 0.8033 2025-04-29 12:00:10,596 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 12:00:10,604 - pyskl - INFO - mean_acc 0.4759 2025-04-29 12:00:10,606 - pyskl - INFO - Epoch(val) [44][413] top1_acc: 0.4742, top5_acc: 0.8033, mean_class_accuracy: 0.4759 2025-04-29 12:01:17,162 - pyskl - INFO - Epoch [45][100/1027] lr: 2.004e-02, eta: 14:23:41, time: 0.666, data_time: 0.261, memory: 7959, top1_acc: 0.4800, top5_acc: 0.7538, loss_cls: 6.8595, loss: 6.8595 2025-04-29 12:02:03,914 - pyskl - INFO - Epoch [45][200/1027] lr: 2.002e-02, eta: 14:22:51, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7806, loss_cls: 6.6858, loss: 6.6858 2025-04-29 12:02:51,602 - pyskl - INFO - Epoch [45][300/1027] lr: 2.000e-02, eta: 14:22:04, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4988, top5_acc: 0.7769, loss_cls: 6.6987, loss: 6.6987 2025-04-29 12:03:39,824 - pyskl - INFO - Epoch [45][400/1027] lr: 1.998e-02, eta: 14:21:18, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.4806, top5_acc: 0.7575, loss_cls: 6.7914, loss: 6.7914 2025-04-29 12:04:27,584 - pyskl - INFO - Epoch [45][500/1027] lr: 1.996e-02, eta: 14:20:30, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4625, top5_acc: 0.7594, loss_cls: 6.8778, loss: 6.8778 2025-04-29 12:05:16,150 - pyskl - INFO - Epoch [45][600/1027] lr: 1.994e-02, eta: 14:19:45, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.4825, top5_acc: 0.7675, loss_cls: 6.8291, loss: 6.8291 2025-04-29 12:06:03,207 - pyskl - INFO - Epoch [45][700/1027] lr: 1.991e-02, eta: 14:18:56, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4881, top5_acc: 0.7688, loss_cls: 6.7428, loss: 6.7428 2025-04-29 12:06:51,812 - pyskl - INFO - Epoch [45][800/1027] lr: 1.989e-02, eta: 14:18:10, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.4806, top5_acc: 0.7619, loss_cls: 6.8288, loss: 6.8288 2025-04-29 12:07:38,506 - pyskl - INFO - Epoch [45][900/1027] lr: 1.987e-02, eta: 14:17:20, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.4487, top5_acc: 0.7356, loss_cls: 6.9887, loss: 6.9887 2025-04-29 12:08:26,176 - pyskl - INFO - Epoch [45][1000/1027] lr: 1.985e-02, eta: 14:16:33, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7544, loss_cls: 6.9443, loss: 6.9443 2025-04-29 12:08:39,402 - pyskl - INFO - Saving checkpoint at 45 epochs 2025-04-29 12:09:19,176 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 12:09:19,248 - pyskl - INFO - top1_acc 0.5001 top5_acc 0.8127 2025-04-29 12:09:19,248 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 12:09:19,256 - pyskl - INFO - mean_acc 0.5003 2025-04-29 12:09:19,325 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_42.pth was removed 2025-04-29 12:09:20,996 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_45.pth. 2025-04-29 12:09:20,998 - pyskl - INFO - Best top1_acc is 0.5001 at 45 epoch. 2025-04-29 12:09:21,001 - pyskl - INFO - Epoch(val) [45][413] top1_acc: 0.5001, top5_acc: 0.8127, mean_class_accuracy: 0.5003 2025-04-29 12:10:24,754 - pyskl - INFO - Epoch [46][100/1027] lr: 1.983e-02, eta: 14:15:40, time: 0.637, data_time: 0.261, memory: 7959, top1_acc: 0.4944, top5_acc: 0.7700, loss_cls: 6.7521, loss: 6.7521 2025-04-29 12:11:09,136 - pyskl - INFO - Epoch [46][200/1027] lr: 1.981e-02, eta: 14:14:45, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7844, loss_cls: 6.5895, loss: 6.5895 2025-04-29 12:11:54,225 - pyskl - INFO - Epoch [46][300/1027] lr: 1.979e-02, eta: 14:13:51, time: 0.451, data_time: 0.000, memory: 7959, top1_acc: 0.4788, top5_acc: 0.7550, loss_cls: 6.8659, loss: 6.8659 2025-04-29 12:12:41,613 - pyskl - INFO - Epoch [46][400/1027] lr: 1.976e-02, eta: 14:13:03, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4825, top5_acc: 0.7694, loss_cls: 6.8459, loss: 6.8459 2025-04-29 12:13:28,987 - pyskl - INFO - Epoch [46][500/1027] lr: 1.974e-02, eta: 14:12:14, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4906, top5_acc: 0.7606, loss_cls: 6.8582, loss: 6.8582 2025-04-29 12:14:15,692 - pyskl - INFO - Epoch [46][600/1027] lr: 1.972e-02, eta: 14:11:25, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.4650, top5_acc: 0.7594, loss_cls: 6.9022, loss: 6.9022 2025-04-29 12:15:02,906 - pyskl - INFO - Epoch [46][700/1027] lr: 1.970e-02, eta: 14:10:36, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7762, loss_cls: 6.6801, loss: 6.6801 2025-04-29 12:15:49,823 - pyskl - INFO - Epoch [46][800/1027] lr: 1.968e-02, eta: 14:09:47, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4662, top5_acc: 0.7512, loss_cls: 6.9215, loss: 6.9215 2025-04-29 12:16:37,621 - pyskl - INFO - Epoch [46][900/1027] lr: 1.966e-02, eta: 14:09:00, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4750, top5_acc: 0.7494, loss_cls: 6.8088, loss: 6.8088 2025-04-29 12:17:25,067 - pyskl - INFO - Epoch [46][1000/1027] lr: 1.964e-02, eta: 14:08:11, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4763, top5_acc: 0.7588, loss_cls: 6.9412, loss: 6.9412 2025-04-29 12:17:38,297 - pyskl - INFO - Saving checkpoint at 46 epochs 2025-04-29 12:18:18,309 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 12:18:18,384 - pyskl - INFO - top1_acc 0.5037 top5_acc 0.8100 2025-04-29 12:18:18,384 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 12:18:18,392 - pyskl - INFO - mean_acc 0.4995 2025-04-29 12:18:18,455 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_45.pth was removed 2025-04-29 12:18:20,090 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. 2025-04-29 12:18:20,092 - pyskl - INFO - Best top1_acc is 0.5037 at 46 epoch. 2025-04-29 12:18:20,095 - pyskl - INFO - Epoch(val) [46][413] top1_acc: 0.5037, top5_acc: 0.8100, mean_class_accuracy: 0.4995 2025-04-29 12:19:23,418 - pyskl - INFO - Epoch [47][100/1027] lr: 1.961e-02, eta: 14:07:17, time: 0.633, data_time: 0.255, memory: 7959, top1_acc: 0.5094, top5_acc: 0.7775, loss_cls: 6.6308, loss: 6.6308 2025-04-29 12:20:07,892 - pyskl - INFO - Epoch [47][200/1027] lr: 1.959e-02, eta: 14:06:23, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.5038, top5_acc: 0.7869, loss_cls: 6.4927, loss: 6.4927 2025-04-29 12:20:53,331 - pyskl - INFO - Epoch [47][300/1027] lr: 1.957e-02, eta: 14:05:30, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.4950, top5_acc: 0.7662, loss_cls: 6.7996, loss: 6.7996 2025-04-29 12:21:39,889 - pyskl - INFO - Epoch [47][400/1027] lr: 1.955e-02, eta: 14:04:40, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7944, loss_cls: 6.7016, loss: 6.7016 2025-04-29 12:22:26,447 - pyskl - INFO - Epoch [47][500/1027] lr: 1.953e-02, eta: 14:03:50, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.4900, top5_acc: 0.7694, loss_cls: 6.7547, loss: 6.7547 2025-04-29 12:23:13,476 - pyskl - INFO - Epoch [47][600/1027] lr: 1.951e-02, eta: 14:03:01, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.4644, top5_acc: 0.7506, loss_cls: 6.8596, loss: 6.8596 2025-04-29 12:24:00,696 - pyskl - INFO - Epoch [47][700/1027] lr: 1.949e-02, eta: 14:02:12, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4769, top5_acc: 0.7494, loss_cls: 6.8595, loss: 6.8595 2025-04-29 12:24:48,456 - pyskl - INFO - Epoch [47][800/1027] lr: 1.947e-02, eta: 14:01:25, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4825, top5_acc: 0.7600, loss_cls: 6.8572, loss: 6.8572 2025-04-29 12:25:36,000 - pyskl - INFO - Epoch [47][900/1027] lr: 1.944e-02, eta: 14:00:37, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4744, top5_acc: 0.7588, loss_cls: 6.7896, loss: 6.7896 2025-04-29 12:26:23,151 - pyskl - INFO - Epoch [47][1000/1027] lr: 1.942e-02, eta: 13:59:49, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4650, top5_acc: 0.7625, loss_cls: 6.8790, loss: 6.8790 2025-04-29 12:26:36,442 - pyskl - INFO - Saving checkpoint at 47 epochs 2025-04-29 12:27:15,920 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 12:27:15,993 - pyskl - INFO - top1_acc 0.5036 top5_acc 0.8045 2025-04-29 12:27:15,993 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 12:27:16,001 - pyskl - INFO - mean_acc 0.4996 2025-04-29 12:27:16,003 - pyskl - INFO - Epoch(val) [47][413] top1_acc: 0.5036, top5_acc: 0.8045, mean_class_accuracy: 0.4996 2025-04-29 12:28:21,214 - pyskl - INFO - Epoch [48][100/1027] lr: 1.940e-02, eta: 13:58:59, time: 0.652, data_time: 0.268, memory: 7959, top1_acc: 0.5469, top5_acc: 0.7950, loss_cls: 6.5125, loss: 6.5125 2025-04-29 12:29:05,401 - pyskl - INFO - Epoch [48][200/1027] lr: 1.938e-02, eta: 13:58:03, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.7600, loss_cls: 6.6777, loss: 6.6777 2025-04-29 12:29:51,967 - pyskl - INFO - Epoch [48][300/1027] lr: 1.935e-02, eta: 13:57:13, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.4794, top5_acc: 0.7638, loss_cls: 6.7055, loss: 6.7055 2025-04-29 12:30:39,586 - pyskl - INFO - Epoch [48][400/1027] lr: 1.933e-02, eta: 13:56:26, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4900, top5_acc: 0.7806, loss_cls: 6.7158, loss: 6.7158 2025-04-29 12:31:26,492 - pyskl - INFO - Epoch [48][500/1027] lr: 1.931e-02, eta: 13:55:37, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4662, top5_acc: 0.7556, loss_cls: 6.8541, loss: 6.8541 2025-04-29 12:32:13,327 - pyskl - INFO - Epoch [48][600/1027] lr: 1.929e-02, eta: 13:54:47, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.5031, top5_acc: 0.7675, loss_cls: 6.8132, loss: 6.8132 2025-04-29 12:32:59,698 - pyskl - INFO - Epoch [48][700/1027] lr: 1.927e-02, eta: 13:53:57, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.4656, top5_acc: 0.7781, loss_cls: 6.8554, loss: 6.8554 2025-04-29 12:33:47,267 - pyskl - INFO - Epoch [48][800/1027] lr: 1.925e-02, eta: 13:53:09, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4838, top5_acc: 0.7762, loss_cls: 6.5674, loss: 6.5674 2025-04-29 12:34:35,093 - pyskl - INFO - Epoch [48][900/1027] lr: 1.923e-02, eta: 13:52:22, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4719, top5_acc: 0.7512, loss_cls: 6.9650, loss: 6.9650 2025-04-29 12:35:21,187 - pyskl - INFO - Epoch [48][1000/1027] lr: 1.920e-02, eta: 13:51:31, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.4800, top5_acc: 0.7531, loss_cls: 6.9580, loss: 6.9580 2025-04-29 12:35:34,798 - pyskl - INFO - Saving checkpoint at 48 epochs 2025-04-29 12:36:14,693 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 12:36:14,770 - pyskl - INFO - top1_acc 0.5099 top5_acc 0.8144 2025-04-29 12:36:14,771 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 12:36:14,779 - pyskl - INFO - mean_acc 0.5149 2025-04-29 12:36:14,842 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_46.pth was removed 2025-04-29 12:36:16,484 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_48.pth. 2025-04-29 12:36:16,486 - pyskl - INFO - Best top1_acc is 0.5099 at 48 epoch. 2025-04-29 12:36:16,489 - pyskl - INFO - Epoch(val) [48][413] top1_acc: 0.5099, top5_acc: 0.8144, mean_class_accuracy: 0.5149 2025-04-29 12:37:21,164 - pyskl - INFO - Epoch [49][100/1027] lr: 1.918e-02, eta: 13:50:40, time: 0.647, data_time: 0.260, memory: 7959, top1_acc: 0.5188, top5_acc: 0.7900, loss_cls: 6.6362, loss: 6.6362 2025-04-29 12:38:04,498 - pyskl - INFO - Epoch [49][200/1027] lr: 1.915e-02, eta: 13:49:43, time: 0.433, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7756, loss_cls: 6.6640, loss: 6.6640 2025-04-29 12:38:51,757 - pyskl - INFO - Epoch [49][300/1027] lr: 1.913e-02, eta: 13:48:55, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5044, top5_acc: 0.7981, loss_cls: 6.6193, loss: 6.6193 2025-04-29 12:39:39,005 - pyskl - INFO - Epoch [49][400/1027] lr: 1.911e-02, eta: 13:48:06, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4919, top5_acc: 0.7531, loss_cls: 6.8565, loss: 6.8565 2025-04-29 12:40:26,240 - pyskl - INFO - Epoch [49][500/1027] lr: 1.909e-02, eta: 13:47:18, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4863, top5_acc: 0.7575, loss_cls: 6.7726, loss: 6.7726 2025-04-29 12:41:13,925 - pyskl - INFO - Epoch [49][600/1027] lr: 1.907e-02, eta: 13:46:30, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7837, loss_cls: 6.6999, loss: 6.6999 2025-04-29 12:42:01,797 - pyskl - INFO - Epoch [49][700/1027] lr: 1.905e-02, eta: 13:45:43, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4637, top5_acc: 0.7588, loss_cls: 6.8896, loss: 6.8896 2025-04-29 12:42:48,480 - pyskl - INFO - Epoch [49][800/1027] lr: 1.902e-02, eta: 13:44:54, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5000, top5_acc: 0.7850, loss_cls: 6.6938, loss: 6.6938 2025-04-29 12:43:35,951 - pyskl - INFO - Epoch [49][900/1027] lr: 1.900e-02, eta: 13:44:06, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4925, top5_acc: 0.7606, loss_cls: 6.7033, loss: 6.7033 2025-04-29 12:44:22,415 - pyskl - INFO - Epoch [49][1000/1027] lr: 1.898e-02, eta: 13:43:16, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.4825, top5_acc: 0.7688, loss_cls: 6.6926, loss: 6.6926 2025-04-29 12:44:35,700 - pyskl - INFO - Saving checkpoint at 49 epochs 2025-04-29 12:45:15,751 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 12:45:15,823 - pyskl - INFO - top1_acc 0.5201 top5_acc 0.8174 2025-04-29 12:45:15,823 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 12:45:15,830 - pyskl - INFO - mean_acc 0.5235 2025-04-29 12:45:15,893 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_48.pth was removed 2025-04-29 12:45:17,516 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth. 2025-04-29 12:45:17,518 - pyskl - INFO - Best top1_acc is 0.5201 at 49 epoch. 2025-04-29 12:45:17,520 - pyskl - INFO - Epoch(val) [49][413] top1_acc: 0.5201, top5_acc: 0.8174, mean_class_accuracy: 0.5235 2025-04-29 12:46:21,560 - pyskl - INFO - Epoch [50][100/1027] lr: 1.895e-02, eta: 13:42:23, time: 0.640, data_time: 0.261, memory: 7959, top1_acc: 0.5088, top5_acc: 0.8031, loss_cls: 6.4259, loss: 6.4259 2025-04-29 12:47:05,204 - pyskl - INFO - Epoch [50][200/1027] lr: 1.893e-02, eta: 13:41:27, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.5056, top5_acc: 0.7788, loss_cls: 6.6681, loss: 6.6681 2025-04-29 12:47:50,790 - pyskl - INFO - Epoch [50][300/1027] lr: 1.891e-02, eta: 13:40:35, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.5062, top5_acc: 0.7788, loss_cls: 6.6233, loss: 6.6233 2025-04-29 12:48:37,647 - pyskl - INFO - Epoch [50][400/1027] lr: 1.889e-02, eta: 13:39:46, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.5019, top5_acc: 0.7869, loss_cls: 6.6859, loss: 6.6859 2025-04-29 12:49:25,274 - pyskl - INFO - Epoch [50][500/1027] lr: 1.887e-02, eta: 13:38:59, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4913, top5_acc: 0.7644, loss_cls: 6.7612, loss: 6.7612 2025-04-29 12:50:15,133 - pyskl - INFO - Epoch [50][600/1027] lr: 1.884e-02, eta: 13:38:16, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.5088, top5_acc: 0.7819, loss_cls: 6.6675, loss: 6.6675 2025-04-29 12:51:05,668 - pyskl - INFO - Epoch [50][700/1027] lr: 1.882e-02, eta: 13:37:34, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.4825, top5_acc: 0.7744, loss_cls: 6.6540, loss: 6.6540 2025-04-29 12:51:55,892 - pyskl - INFO - Epoch [50][800/1027] lr: 1.880e-02, eta: 13:36:51, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.4925, top5_acc: 0.7756, loss_cls: 6.7111, loss: 6.7111 2025-04-29 12:52:46,939 - pyskl - INFO - Epoch [50][900/1027] lr: 1.878e-02, eta: 13:36:11, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.4900, top5_acc: 0.7712, loss_cls: 6.8379, loss: 6.8379 2025-04-29 12:53:37,685 - pyskl - INFO - Epoch [50][1000/1027] lr: 1.876e-02, eta: 13:35:29, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.4863, top5_acc: 0.7569, loss_cls: 6.7954, loss: 6.7954 2025-04-29 12:53:51,954 - pyskl - INFO - Saving checkpoint at 50 epochs 2025-04-29 12:54:33,694 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 12:54:33,765 - pyskl - INFO - top1_acc 0.4972 top5_acc 0.8048 2025-04-29 12:54:33,765 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 12:54:33,773 - pyskl - INFO - mean_acc 0.5015 2025-04-29 12:54:33,774 - pyskl - INFO - Epoch(val) [50][413] top1_acc: 0.4972, top5_acc: 0.8048, mean_class_accuracy: 0.5015 2025-04-29 12:55:39,046 - pyskl - INFO - Epoch [51][100/1027] lr: 1.873e-02, eta: 13:34:38, time: 0.653, data_time: 0.258, memory: 7959, top1_acc: 0.5044, top5_acc: 0.7931, loss_cls: 6.5804, loss: 6.5804 2025-04-29 12:56:26,460 - pyskl - INFO - Epoch [51][200/1027] lr: 1.871e-02, eta: 13:33:50, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.7831, loss_cls: 6.6224, loss: 6.6224 2025-04-29 12:57:15,911 - pyskl - INFO - Epoch [51][300/1027] lr: 1.868e-02, eta: 13:33:06, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.5225, top5_acc: 0.7863, loss_cls: 6.5102, loss: 6.5102 2025-04-29 12:58:06,266 - pyskl - INFO - Epoch [51][400/1027] lr: 1.866e-02, eta: 13:32:24, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.4813, top5_acc: 0.7631, loss_cls: 6.8743, loss: 6.8743 2025-04-29 12:58:56,688 - pyskl - INFO - Epoch [51][500/1027] lr: 1.864e-02, eta: 13:31:42, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.4863, top5_acc: 0.7669, loss_cls: 6.7769, loss: 6.7769 2025-04-29 12:59:47,059 - pyskl - INFO - Epoch [51][600/1027] lr: 1.862e-02, eta: 13:30:59, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.4919, top5_acc: 0.7775, loss_cls: 6.7351, loss: 6.7351 2025-04-29 13:00:37,480 - pyskl - INFO - Epoch [51][700/1027] lr: 1.860e-02, eta: 13:30:17, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.4913, top5_acc: 0.7775, loss_cls: 6.6163, loss: 6.6163 2025-04-29 13:01:27,741 - pyskl - INFO - Epoch [51][800/1027] lr: 1.857e-02, eta: 13:29:35, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.4725, top5_acc: 0.7775, loss_cls: 6.7501, loss: 6.7501 2025-04-29 13:02:17,738 - pyskl - INFO - Epoch [51][900/1027] lr: 1.855e-02, eta: 13:28:51, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.4944, top5_acc: 0.7644, loss_cls: 6.7832, loss: 6.7832 2025-04-29 13:03:06,799 - pyskl - INFO - Epoch [51][1000/1027] lr: 1.853e-02, eta: 13:28:06, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.4969, top5_acc: 0.7806, loss_cls: 6.6821, loss: 6.6821 2025-04-29 13:03:20,464 - pyskl - INFO - Saving checkpoint at 51 epochs 2025-04-29 13:04:00,949 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 13:04:01,021 - pyskl - INFO - top1_acc 0.5119 top5_acc 0.8130 2025-04-29 13:04:01,021 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 13:04:01,029 - pyskl - INFO - mean_acc 0.5151 2025-04-29 13:04:01,030 - pyskl - INFO - Epoch(val) [51][413] top1_acc: 0.5119, top5_acc: 0.8130, mean_class_accuracy: 0.5151 2025-04-29 13:05:06,017 - pyskl - INFO - Epoch [52][100/1027] lr: 1.850e-02, eta: 13:27:15, time: 0.650, data_time: 0.266, memory: 7959, top1_acc: 0.5206, top5_acc: 0.8056, loss_cls: 6.5050, loss: 6.5050 2025-04-29 13:05:50,005 - pyskl - INFO - Epoch [52][200/1027] lr: 1.848e-02, eta: 13:26:20, time: 0.440, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.7825, loss_cls: 6.6289, loss: 6.6289 2025-04-29 13:06:36,529 - pyskl - INFO - Epoch [52][300/1027] lr: 1.846e-02, eta: 13:25:30, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.5206, top5_acc: 0.7856, loss_cls: 6.5176, loss: 6.5176 2025-04-29 13:07:23,044 - pyskl - INFO - Epoch [52][400/1027] lr: 1.843e-02, eta: 13:24:40, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7837, loss_cls: 6.5807, loss: 6.5807 2025-04-29 13:08:09,640 - pyskl - INFO - Epoch [52][500/1027] lr: 1.841e-02, eta: 13:23:50, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.7825, loss_cls: 6.6815, loss: 6.6815 2025-04-29 13:08:58,089 - pyskl - INFO - Epoch [52][600/1027] lr: 1.839e-02, eta: 13:23:04, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4906, top5_acc: 0.7831, loss_cls: 6.7243, loss: 6.7243 2025-04-29 13:09:45,259 - pyskl - INFO - Epoch [52][700/1027] lr: 1.837e-02, eta: 13:22:15, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7625, loss_cls: 6.9100, loss: 6.9100 2025-04-29 13:10:32,131 - pyskl - INFO - Epoch [52][800/1027] lr: 1.834e-02, eta: 13:21:26, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4981, top5_acc: 0.7669, loss_cls: 6.7525, loss: 6.7525 2025-04-29 13:11:18,979 - pyskl - INFO - Epoch [52][900/1027] lr: 1.832e-02, eta: 13:20:37, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.4900, top5_acc: 0.7731, loss_cls: 6.7171, loss: 6.7171 2025-04-29 13:12:06,539 - pyskl - INFO - Epoch [52][1000/1027] lr: 1.830e-02, eta: 13:19:49, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5100, top5_acc: 0.7750, loss_cls: 6.6709, loss: 6.6709 2025-04-29 13:12:20,126 - pyskl - INFO - Saving checkpoint at 52 epochs 2025-04-29 13:13:00,392 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 13:13:00,465 - pyskl - INFO - top1_acc 0.5069 top5_acc 0.8127 2025-04-29 13:13:00,465 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 13:13:00,473 - pyskl - INFO - mean_acc 0.5108 2025-04-29 13:13:00,475 - pyskl - INFO - Epoch(val) [52][413] top1_acc: 0.5069, top5_acc: 0.8127, mean_class_accuracy: 0.5108 2025-04-29 13:14:05,481 - pyskl - INFO - Epoch [53][100/1027] lr: 1.827e-02, eta: 13:18:57, time: 0.650, data_time: 0.271, memory: 7959, top1_acc: 0.5256, top5_acc: 0.7994, loss_cls: 6.4758, loss: 6.4758 2025-04-29 13:14:49,374 - pyskl - INFO - Epoch [53][200/1027] lr: 1.825e-02, eta: 13:18:02, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.5419, top5_acc: 0.8113, loss_cls: 6.3309, loss: 6.3309 2025-04-29 13:15:35,229 - pyskl - INFO - Epoch [53][300/1027] lr: 1.822e-02, eta: 13:17:11, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.7906, loss_cls: 6.5317, loss: 6.5317 2025-04-29 13:16:22,189 - pyskl - INFO - Epoch [53][400/1027] lr: 1.820e-02, eta: 13:16:22, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.4844, top5_acc: 0.7794, loss_cls: 6.6691, loss: 6.6691 2025-04-29 13:17:08,877 - pyskl - INFO - Epoch [53][500/1027] lr: 1.818e-02, eta: 13:15:33, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5012, top5_acc: 0.7856, loss_cls: 6.5528, loss: 6.5528 2025-04-29 13:17:56,131 - pyskl - INFO - Epoch [53][600/1027] lr: 1.816e-02, eta: 13:14:44, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5038, top5_acc: 0.7844, loss_cls: 6.5416, loss: 6.5416 2025-04-29 13:18:43,563 - pyskl - INFO - Epoch [53][700/1027] lr: 1.813e-02, eta: 13:13:56, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5006, top5_acc: 0.7825, loss_cls: 6.6280, loss: 6.6280 2025-04-29 13:19:30,804 - pyskl - INFO - Epoch [53][800/1027] lr: 1.811e-02, eta: 13:13:08, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4788, top5_acc: 0.7444, loss_cls: 6.8264, loss: 6.8264 2025-04-29 13:20:19,084 - pyskl - INFO - Epoch [53][900/1027] lr: 1.809e-02, eta: 13:12:21, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.4894, top5_acc: 0.7562, loss_cls: 6.8727, loss: 6.8727 2025-04-29 13:21:06,128 - pyskl - INFO - Epoch [53][1000/1027] lr: 1.806e-02, eta: 13:11:32, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.4925, top5_acc: 0.7700, loss_cls: 6.6954, loss: 6.6954 2025-04-29 13:21:19,472 - pyskl - INFO - Saving checkpoint at 53 epochs 2025-04-29 13:21:59,123 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 13:21:59,195 - pyskl - INFO - top1_acc 0.5054 top5_acc 0.8103 2025-04-29 13:21:59,195 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 13:21:59,203 - pyskl - INFO - mean_acc 0.5108 2025-04-29 13:21:59,204 - pyskl - INFO - Epoch(val) [53][413] top1_acc: 0.5054, top5_acc: 0.8103, mean_class_accuracy: 0.5108 2025-04-29 13:23:03,134 - pyskl - INFO - Epoch [54][100/1027] lr: 1.804e-02, eta: 13:10:38, time: 0.639, data_time: 0.258, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8075, loss_cls: 6.2927, loss: 6.2927 2025-04-29 13:23:46,383 - pyskl - INFO - Epoch [54][200/1027] lr: 1.801e-02, eta: 13:09:42, time: 0.432, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8087, loss_cls: 6.4634, loss: 6.4634 2025-04-29 13:24:32,018 - pyskl - INFO - Epoch [54][300/1027] lr: 1.799e-02, eta: 13:08:51, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.4919, top5_acc: 0.7781, loss_cls: 6.7306, loss: 6.7306 2025-04-29 13:25:18,045 - pyskl - INFO - Epoch [54][400/1027] lr: 1.797e-02, eta: 13:08:00, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.5056, top5_acc: 0.7819, loss_cls: 6.5686, loss: 6.5686 2025-04-29 13:26:03,516 - pyskl - INFO - Epoch [54][500/1027] lr: 1.794e-02, eta: 13:07:09, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.5212, top5_acc: 0.7900, loss_cls: 6.5090, loss: 6.5090 2025-04-29 13:26:50,151 - pyskl - INFO - Epoch [54][600/1027] lr: 1.792e-02, eta: 13:06:19, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.5169, top5_acc: 0.7925, loss_cls: 6.6264, loss: 6.6264 2025-04-29 13:27:37,266 - pyskl - INFO - Epoch [54][700/1027] lr: 1.790e-02, eta: 13:05:31, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.7900, loss_cls: 6.7670, loss: 6.7670 2025-04-29 13:28:24,710 - pyskl - INFO - Epoch [54][800/1027] lr: 1.787e-02, eta: 13:04:43, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4756, top5_acc: 0.7594, loss_cls: 6.8386, loss: 6.8386 2025-04-29 13:29:11,787 - pyskl - INFO - Epoch [54][900/1027] lr: 1.785e-02, eta: 13:03:54, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4994, top5_acc: 0.7725, loss_cls: 6.7117, loss: 6.7117 2025-04-29 13:30:00,156 - pyskl - INFO - Epoch [54][1000/1027] lr: 1.783e-02, eta: 13:03:08, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.5125, top5_acc: 0.7981, loss_cls: 6.4730, loss: 6.4730 2025-04-29 13:30:14,311 - pyskl - INFO - Saving checkpoint at 54 epochs 2025-04-29 13:30:54,419 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 13:30:54,495 - pyskl - INFO - top1_acc 0.5236 top5_acc 0.8162 2025-04-29 13:30:54,496 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 13:30:54,505 - pyskl - INFO - mean_acc 0.5258 2025-04-29 13:30:54,590 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_49.pth was removed 2025-04-29 13:30:56,269 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_54.pth. 2025-04-29 13:30:56,271 - pyskl - INFO - Best top1_acc is 0.5236 at 54 epoch. 2025-04-29 13:30:56,283 - pyskl - INFO - Epoch(val) [54][413] top1_acc: 0.5236, top5_acc: 0.8162, mean_class_accuracy: 0.5258 2025-04-29 13:32:00,955 - pyskl - INFO - Epoch [55][100/1027] lr: 1.780e-02, eta: 13:02:14, time: 0.647, data_time: 0.268, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8081, loss_cls: 6.3344, loss: 6.3344 2025-04-29 13:32:44,696 - pyskl - INFO - Epoch [55][200/1027] lr: 1.778e-02, eta: 13:01:20, time: 0.437, data_time: 0.000, memory: 7959, top1_acc: 0.5288, top5_acc: 0.7969, loss_cls: 6.5326, loss: 6.5326 2025-04-29 13:33:30,348 - pyskl - INFO - Epoch [55][300/1027] lr: 1.775e-02, eta: 13:00:29, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.5144, top5_acc: 0.7881, loss_cls: 6.6057, loss: 6.6057 2025-04-29 13:34:16,621 - pyskl - INFO - Epoch [55][400/1027] lr: 1.773e-02, eta: 12:59:39, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.5200, top5_acc: 0.7925, loss_cls: 6.6237, loss: 6.6237 2025-04-29 13:35:02,822 - pyskl - INFO - Epoch [55][500/1027] lr: 1.771e-02, eta: 12:58:49, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.5181, top5_acc: 0.8000, loss_cls: 6.4942, loss: 6.4942 2025-04-29 13:35:50,121 - pyskl - INFO - Epoch [55][600/1027] lr: 1.768e-02, eta: 12:58:00, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.7956, loss_cls: 6.4647, loss: 6.4647 2025-04-29 13:36:37,255 - pyskl - INFO - Epoch [55][700/1027] lr: 1.766e-02, eta: 12:57:12, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5081, top5_acc: 0.7812, loss_cls: 6.6590, loss: 6.6590 2025-04-29 13:37:24,939 - pyskl - INFO - Epoch [55][800/1027] lr: 1.764e-02, eta: 12:56:24, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5219, top5_acc: 0.7825, loss_cls: 6.4979, loss: 6.4979 2025-04-29 13:38:11,664 - pyskl - INFO - Epoch [55][900/1027] lr: 1.761e-02, eta: 12:55:35, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7694, loss_cls: 6.6978, loss: 6.6978 2025-04-29 13:38:58,157 - pyskl - INFO - Epoch [55][1000/1027] lr: 1.759e-02, eta: 12:54:45, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.4981, top5_acc: 0.7837, loss_cls: 6.6272, loss: 6.6272 2025-04-29 13:39:11,473 - pyskl - INFO - Saving checkpoint at 55 epochs 2025-04-29 13:39:51,234 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 13:39:51,307 - pyskl - INFO - top1_acc 0.4798 top5_acc 0.7975 2025-04-29 13:39:51,307 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 13:39:51,315 - pyskl - INFO - mean_acc 0.4807 2025-04-29 13:39:51,317 - pyskl - INFO - Epoch(val) [55][413] top1_acc: 0.4798, top5_acc: 0.7975, mean_class_accuracy: 0.4807 2025-04-29 13:40:55,357 - pyskl - INFO - Epoch [56][100/1027] lr: 1.756e-02, eta: 12:53:51, time: 0.640, data_time: 0.261, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8169, loss_cls: 6.3173, loss: 6.3173 2025-04-29 13:41:39,870 - pyskl - INFO - Epoch [56][200/1027] lr: 1.754e-02, eta: 12:52:58, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.5200, top5_acc: 0.7900, loss_cls: 6.4266, loss: 6.4266 2025-04-29 13:42:25,428 - pyskl - INFO - Epoch [56][300/1027] lr: 1.751e-02, eta: 12:52:07, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.5219, top5_acc: 0.7819, loss_cls: 6.6344, loss: 6.6344 2025-04-29 13:43:11,955 - pyskl - INFO - Epoch [56][400/1027] lr: 1.749e-02, eta: 12:51:17, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.5206, top5_acc: 0.8069, loss_cls: 6.5193, loss: 6.5193 2025-04-29 13:43:58,644 - pyskl - INFO - Epoch [56][500/1027] lr: 1.747e-02, eta: 12:50:28, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.4956, top5_acc: 0.7869, loss_cls: 6.5398, loss: 6.5398 2025-04-29 13:44:47,009 - pyskl - INFO - Epoch [56][600/1027] lr: 1.744e-02, eta: 12:49:42, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.5181, top5_acc: 0.8006, loss_cls: 6.4420, loss: 6.4420 2025-04-29 13:45:34,027 - pyskl - INFO - Epoch [56][700/1027] lr: 1.742e-02, eta: 12:48:53, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.5100, top5_acc: 0.7856, loss_cls: 6.5416, loss: 6.5416 2025-04-29 13:46:20,805 - pyskl - INFO - Epoch [56][800/1027] lr: 1.740e-02, eta: 12:48:04, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.5075, top5_acc: 0.8013, loss_cls: 6.5309, loss: 6.5309 2025-04-29 13:47:08,039 - pyskl - INFO - Epoch [56][900/1027] lr: 1.737e-02, eta: 12:47:16, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5031, top5_acc: 0.7725, loss_cls: 6.6171, loss: 6.6171 2025-04-29 13:47:55,798 - pyskl - INFO - Epoch [56][1000/1027] lr: 1.735e-02, eta: 12:46:28, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4906, top5_acc: 0.7744, loss_cls: 6.7494, loss: 6.7494 2025-04-29 13:48:09,318 - pyskl - INFO - Saving checkpoint at 56 epochs 2025-04-29 13:48:49,541 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 13:48:49,616 - pyskl - INFO - top1_acc 0.5234 top5_acc 0.8359 2025-04-29 13:48:49,616 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 13:48:49,631 - pyskl - INFO - mean_acc 0.5231 2025-04-29 13:48:49,633 - pyskl - INFO - Epoch(val) [56][413] top1_acc: 0.5234, top5_acc: 0.8359, mean_class_accuracy: 0.5231 2025-04-29 13:49:56,154 - pyskl - INFO - Epoch [57][100/1027] lr: 1.732e-02, eta: 12:45:38, time: 0.665, data_time: 0.267, memory: 7959, top1_acc: 0.5394, top5_acc: 0.7950, loss_cls: 6.4201, loss: 6.4201 2025-04-29 13:50:42,223 - pyskl - INFO - Epoch [57][200/1027] lr: 1.730e-02, eta: 12:44:48, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.7900, loss_cls: 6.5186, loss: 6.5186 2025-04-29 13:51:30,557 - pyskl - INFO - Epoch [57][300/1027] lr: 1.727e-02, eta: 12:44:01, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.5394, top5_acc: 0.8044, loss_cls: 6.3289, loss: 6.3289 2025-04-29 13:52:20,703 - pyskl - INFO - Epoch [57][400/1027] lr: 1.725e-02, eta: 12:43:18, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.5319, top5_acc: 0.8106, loss_cls: 6.4213, loss: 6.4213 2025-04-29 13:53:10,216 - pyskl - INFO - Epoch [57][500/1027] lr: 1.723e-02, eta: 12:42:33, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.5294, top5_acc: 0.8000, loss_cls: 6.4772, loss: 6.4772 2025-04-29 13:53:58,342 - pyskl - INFO - Epoch [57][600/1027] lr: 1.720e-02, eta: 12:41:46, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.7925, loss_cls: 6.4354, loss: 6.4354 2025-04-29 13:54:47,911 - pyskl - INFO - Epoch [57][700/1027] lr: 1.718e-02, eta: 12:41:02, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.5144, top5_acc: 0.7950, loss_cls: 6.5636, loss: 6.5636 2025-04-29 13:55:36,865 - pyskl - INFO - Epoch [57][800/1027] lr: 1.716e-02, eta: 12:40:16, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.5188, top5_acc: 0.7900, loss_cls: 6.4592, loss: 6.4592 2025-04-29 13:56:25,701 - pyskl - INFO - Epoch [57][900/1027] lr: 1.713e-02, eta: 12:39:31, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.4913, top5_acc: 0.7744, loss_cls: 6.6553, loss: 6.6553 2025-04-29 13:57:15,495 - pyskl - INFO - Epoch [57][1000/1027] lr: 1.711e-02, eta: 12:38:46, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.5188, top5_acc: 0.7863, loss_cls: 6.5020, loss: 6.5020 2025-04-29 13:57:29,759 - pyskl - INFO - Saving checkpoint at 57 epochs 2025-04-29 13:58:11,718 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 13:58:11,790 - pyskl - INFO - top1_acc 0.5010 top5_acc 0.8101 2025-04-29 13:58:11,791 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 13:58:11,799 - pyskl - INFO - mean_acc 0.5006 2025-04-29 13:58:11,801 - pyskl - INFO - Epoch(val) [57][413] top1_acc: 0.5010, top5_acc: 0.8101, mean_class_accuracy: 0.5006 2025-04-29 13:59:18,706 - pyskl - INFO - Epoch [58][100/1027] lr: 1.708e-02, eta: 12:37:56, time: 0.669, data_time: 0.277, memory: 7959, top1_acc: 0.5294, top5_acc: 0.8037, loss_cls: 6.3382, loss: 6.3382 2025-04-29 14:00:04,480 - pyskl - INFO - Epoch [58][200/1027] lr: 1.705e-02, eta: 12:37:06, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.5444, top5_acc: 0.8131, loss_cls: 6.2743, loss: 6.2743 2025-04-29 14:00:51,428 - pyskl - INFO - Epoch [58][300/1027] lr: 1.703e-02, eta: 12:36:17, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.5425, top5_acc: 0.8113, loss_cls: 6.3566, loss: 6.3566 2025-04-29 14:01:38,129 - pyskl - INFO - Epoch [58][400/1027] lr: 1.701e-02, eta: 12:35:28, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.7788, loss_cls: 6.6398, loss: 6.6398 2025-04-29 14:02:24,212 - pyskl - INFO - Epoch [58][500/1027] lr: 1.698e-02, eta: 12:34:37, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.5125, top5_acc: 0.7925, loss_cls: 6.6040, loss: 6.6040 2025-04-29 14:03:12,284 - pyskl - INFO - Epoch [58][600/1027] lr: 1.696e-02, eta: 12:33:50, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5094, top5_acc: 0.7844, loss_cls: 6.6172, loss: 6.6172 2025-04-29 14:03:58,905 - pyskl - INFO - Epoch [58][700/1027] lr: 1.694e-02, eta: 12:33:01, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.5169, top5_acc: 0.7963, loss_cls: 6.6101, loss: 6.6101 2025-04-29 14:04:45,582 - pyskl - INFO - Epoch [58][800/1027] lr: 1.691e-02, eta: 12:32:12, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5269, top5_acc: 0.7975, loss_cls: 6.4435, loss: 6.4435 2025-04-29 14:05:32,507 - pyskl - INFO - Epoch [58][900/1027] lr: 1.689e-02, eta: 12:31:23, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.5212, top5_acc: 0.7881, loss_cls: 6.4913, loss: 6.4913 2025-04-29 14:06:19,726 - pyskl - INFO - Epoch [58][1000/1027] lr: 1.686e-02, eta: 12:30:35, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8013, loss_cls: 6.4168, loss: 6.4168 2025-04-29 14:06:33,518 - pyskl - INFO - Saving checkpoint at 58 epochs 2025-04-29 14:07:13,506 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 14:07:13,578 - pyskl - INFO - top1_acc 0.5228 top5_acc 0.8004 2025-04-29 14:07:13,579 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 14:07:13,587 - pyskl - INFO - mean_acc 0.5213 2025-04-29 14:07:13,588 - pyskl - INFO - Epoch(val) [58][413] top1_acc: 0.5228, top5_acc: 0.8004, mean_class_accuracy: 0.5213 2025-04-29 14:08:18,680 - pyskl - INFO - Epoch [59][100/1027] lr: 1.683e-02, eta: 12:29:41, time: 0.651, data_time: 0.267, memory: 7959, top1_acc: 0.5575, top5_acc: 0.8137, loss_cls: 6.2637, loss: 6.2637 2025-04-29 14:09:03,085 - pyskl - INFO - Epoch [59][200/1027] lr: 1.681e-02, eta: 12:28:49, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.7931, loss_cls: 6.5293, loss: 6.5293 2025-04-29 14:09:48,490 - pyskl - INFO - Epoch [59][300/1027] lr: 1.679e-02, eta: 12:27:57, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.8119, loss_cls: 6.4668, loss: 6.4668 2025-04-29 14:10:35,847 - pyskl - INFO - Epoch [59][400/1027] lr: 1.676e-02, eta: 12:27:09, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5363, top5_acc: 0.7963, loss_cls: 6.5294, loss: 6.5294 2025-04-29 14:11:23,048 - pyskl - INFO - Epoch [59][500/1027] lr: 1.674e-02, eta: 12:26:21, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5206, top5_acc: 0.8094, loss_cls: 6.4421, loss: 6.4421 2025-04-29 14:12:09,622 - pyskl - INFO - Epoch [59][600/1027] lr: 1.671e-02, eta: 12:25:32, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.5256, top5_acc: 0.8056, loss_cls: 6.4136, loss: 6.4136 2025-04-29 14:12:56,121 - pyskl - INFO - Epoch [59][700/1027] lr: 1.669e-02, eta: 12:24:42, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.5387, top5_acc: 0.7994, loss_cls: 6.3877, loss: 6.3877 2025-04-29 14:13:43,220 - pyskl - INFO - Epoch [59][800/1027] lr: 1.667e-02, eta: 12:23:54, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5025, top5_acc: 0.7812, loss_cls: 6.5837, loss: 6.5837 2025-04-29 14:14:31,177 - pyskl - INFO - Epoch [59][900/1027] lr: 1.664e-02, eta: 12:23:07, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5206, top5_acc: 0.7788, loss_cls: 6.5237, loss: 6.5237 2025-04-29 14:15:18,043 - pyskl - INFO - Epoch [59][1000/1027] lr: 1.662e-02, eta: 12:22:18, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.5169, top5_acc: 0.7869, loss_cls: 6.4526, loss: 6.4526 2025-04-29 14:15:31,382 - pyskl - INFO - Saving checkpoint at 59 epochs 2025-04-29 14:16:11,339 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 14:16:11,411 - pyskl - INFO - top1_acc 0.5108 top5_acc 0.8004 2025-04-29 14:16:11,411 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 14:16:11,418 - pyskl - INFO - mean_acc 0.5109 2025-04-29 14:16:11,420 - pyskl - INFO - Epoch(val) [59][413] top1_acc: 0.5108, top5_acc: 0.8004, mean_class_accuracy: 0.5109 2025-04-29 14:17:16,321 - pyskl - INFO - Epoch [60][100/1027] lr: 1.659e-02, eta: 12:21:24, time: 0.649, data_time: 0.264, memory: 7959, top1_acc: 0.5394, top5_acc: 0.8094, loss_cls: 6.3469, loss: 6.3469 2025-04-29 14:18:01,020 - pyskl - INFO - Epoch [60][200/1027] lr: 1.656e-02, eta: 12:20:32, time: 0.447, data_time: 0.000, memory: 7959, top1_acc: 0.5300, top5_acc: 0.8150, loss_cls: 6.3628, loss: 6.3628 2025-04-29 14:18:46,866 - pyskl - INFO - Epoch [60][300/1027] lr: 1.654e-02, eta: 12:19:41, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8137, loss_cls: 6.3615, loss: 6.3615 2025-04-29 14:19:33,092 - pyskl - INFO - Epoch [60][400/1027] lr: 1.651e-02, eta: 12:18:52, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.5456, top5_acc: 0.8125, loss_cls: 6.3899, loss: 6.3899 2025-04-29 14:20:19,591 - pyskl - INFO - Epoch [60][500/1027] lr: 1.649e-02, eta: 12:18:02, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.5275, top5_acc: 0.8131, loss_cls: 6.3911, loss: 6.3911 2025-04-29 14:21:06,749 - pyskl - INFO - Epoch [60][600/1027] lr: 1.647e-02, eta: 12:17:14, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5537, top5_acc: 0.8013, loss_cls: 6.3035, loss: 6.3035 2025-04-29 14:21:53,885 - pyskl - INFO - Epoch [60][700/1027] lr: 1.644e-02, eta: 12:16:25, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5012, top5_acc: 0.7806, loss_cls: 6.6153, loss: 6.6153 2025-04-29 14:22:41,479 - pyskl - INFO - Epoch [60][800/1027] lr: 1.642e-02, eta: 12:15:38, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5225, top5_acc: 0.7956, loss_cls: 6.4340, loss: 6.4340 2025-04-29 14:23:29,026 - pyskl - INFO - Epoch [60][900/1027] lr: 1.639e-02, eta: 12:14:50, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.7819, loss_cls: 6.5061, loss: 6.5061 2025-04-29 14:24:15,678 - pyskl - INFO - Epoch [60][1000/1027] lr: 1.637e-02, eta: 12:14:01, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.8075, loss_cls: 6.3467, loss: 6.3467 2025-04-29 14:24:29,982 - pyskl - INFO - Saving checkpoint at 60 epochs 2025-04-29 14:25:09,754 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 14:25:09,825 - pyskl - INFO - top1_acc 0.5052 top5_acc 0.7971 2025-04-29 14:25:09,826 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 14:25:09,833 - pyskl - INFO - mean_acc 0.5027 2025-04-29 14:25:09,835 - pyskl - INFO - Epoch(val) [60][413] top1_acc: 0.5052, top5_acc: 0.7971, mean_class_accuracy: 0.5027 2025-04-29 14:26:14,419 - pyskl - INFO - Epoch [61][100/1027] lr: 1.634e-02, eta: 12:13:06, time: 0.646, data_time: 0.264, memory: 7959, top1_acc: 0.5619, top5_acc: 0.8194, loss_cls: 6.3158, loss: 6.3158 2025-04-29 14:26:58,313 - pyskl - INFO - Epoch [61][200/1027] lr: 1.631e-02, eta: 12:12:13, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.5413, top5_acc: 0.8000, loss_cls: 6.3726, loss: 6.3726 2025-04-29 14:27:44,341 - pyskl - INFO - Epoch [61][300/1027] lr: 1.629e-02, eta: 12:11:23, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8069, loss_cls: 6.4730, loss: 6.4730 2025-04-29 14:28:31,710 - pyskl - INFO - Epoch [61][400/1027] lr: 1.627e-02, eta: 12:10:35, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8281, loss_cls: 6.2875, loss: 6.2875 2025-04-29 14:29:18,601 - pyskl - INFO - Epoch [61][500/1027] lr: 1.624e-02, eta: 12:09:46, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.5575, top5_acc: 0.8144, loss_cls: 6.3502, loss: 6.3502 2025-04-29 14:30:05,500 - pyskl - INFO - Epoch [61][600/1027] lr: 1.622e-02, eta: 12:08:58, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.5400, top5_acc: 0.8087, loss_cls: 6.2910, loss: 6.2910 2025-04-29 14:30:52,701 - pyskl - INFO - Epoch [61][700/1027] lr: 1.619e-02, eta: 12:08:09, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.7987, loss_cls: 6.3636, loss: 6.3636 2025-04-29 14:31:40,193 - pyskl - INFO - Epoch [61][800/1027] lr: 1.617e-02, eta: 12:07:22, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5156, top5_acc: 0.7837, loss_cls: 6.5309, loss: 6.5309 2025-04-29 14:32:26,947 - pyskl - INFO - Epoch [61][900/1027] lr: 1.614e-02, eta: 12:06:33, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.5456, top5_acc: 0.8194, loss_cls: 6.3975, loss: 6.3975 2025-04-29 14:33:14,665 - pyskl - INFO - Epoch [61][1000/1027] lr: 1.612e-02, eta: 12:05:45, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5200, top5_acc: 0.7887, loss_cls: 6.5946, loss: 6.5946 2025-04-29 14:33:28,202 - pyskl - INFO - Saving checkpoint at 61 epochs 2025-04-29 14:34:07,823 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 14:34:07,895 - pyskl - INFO - top1_acc 0.5078 top5_acc 0.8103 2025-04-29 14:34:07,895 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 14:34:07,903 - pyskl - INFO - mean_acc 0.5046 2025-04-29 14:34:07,904 - pyskl - INFO - Epoch(val) [61][413] top1_acc: 0.5078, top5_acc: 0.8103, mean_class_accuracy: 0.5046 2025-04-29 14:35:12,499 - pyskl - INFO - Epoch [62][100/1027] lr: 1.609e-02, eta: 12:04:51, time: 0.646, data_time: 0.256, memory: 7959, top1_acc: 0.5731, top5_acc: 0.8175, loss_cls: 6.2927, loss: 6.2927 2025-04-29 14:35:57,017 - pyskl - INFO - Epoch [62][200/1027] lr: 1.606e-02, eta: 12:03:59, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.5544, top5_acc: 0.8263, loss_cls: 6.2696, loss: 6.2696 2025-04-29 14:36:43,239 - pyskl - INFO - Epoch [62][300/1027] lr: 1.604e-02, eta: 12:03:09, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.5344, top5_acc: 0.8075, loss_cls: 6.3271, loss: 6.3271 2025-04-29 14:37:29,749 - pyskl - INFO - Epoch [62][400/1027] lr: 1.602e-02, eta: 12:02:20, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8144, loss_cls: 6.4773, loss: 6.4773 2025-04-29 14:38:17,238 - pyskl - INFO - Epoch [62][500/1027] lr: 1.599e-02, eta: 12:01:32, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.8019, loss_cls: 6.4163, loss: 6.4163 2025-04-29 14:39:04,312 - pyskl - INFO - Epoch [62][600/1027] lr: 1.597e-02, eta: 12:00:43, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5288, top5_acc: 0.7994, loss_cls: 6.5654, loss: 6.5654 2025-04-29 14:39:50,432 - pyskl - INFO - Epoch [62][700/1027] lr: 1.594e-02, eta: 11:59:54, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8275, loss_cls: 6.1949, loss: 6.1949 2025-04-29 14:40:37,121 - pyskl - INFO - Epoch [62][800/1027] lr: 1.592e-02, eta: 11:59:05, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5500, top5_acc: 0.8131, loss_cls: 6.3912, loss: 6.3912 2025-04-29 14:41:24,616 - pyskl - INFO - Epoch [62][900/1027] lr: 1.589e-02, eta: 11:58:17, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5275, top5_acc: 0.7925, loss_cls: 6.4405, loss: 6.4405 2025-04-29 14:42:11,959 - pyskl - INFO - Epoch [62][1000/1027] lr: 1.587e-02, eta: 11:57:29, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5312, top5_acc: 0.7931, loss_cls: 6.4363, loss: 6.4363 2025-04-29 14:42:25,296 - pyskl - INFO - Saving checkpoint at 62 epochs 2025-04-29 14:43:04,792 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 14:43:04,869 - pyskl - INFO - top1_acc 0.5114 top5_acc 0.8135 2025-04-29 14:43:04,869 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 14:43:04,878 - pyskl - INFO - mean_acc 0.5104 2025-04-29 14:43:04,881 - pyskl - INFO - Epoch(val) [62][413] top1_acc: 0.5114, top5_acc: 0.8135, mean_class_accuracy: 0.5104 2025-04-29 14:44:10,725 - pyskl - INFO - Epoch [63][100/1027] lr: 1.584e-02, eta: 11:56:36, time: 0.658, data_time: 0.269, memory: 7959, top1_acc: 0.5706, top5_acc: 0.8163, loss_cls: 6.1710, loss: 6.1710 2025-04-29 14:44:54,524 - pyskl - INFO - Epoch [63][200/1027] lr: 1.581e-02, eta: 11:55:43, time: 0.438, data_time: 0.000, memory: 7959, top1_acc: 0.5456, top5_acc: 0.8306, loss_cls: 6.2638, loss: 6.2638 2025-04-29 14:45:39,676 - pyskl - INFO - Epoch [63][300/1027] lr: 1.579e-02, eta: 11:54:52, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.5644, top5_acc: 0.8125, loss_cls: 6.2956, loss: 6.2956 2025-04-29 14:46:26,214 - pyskl - INFO - Epoch [63][400/1027] lr: 1.576e-02, eta: 11:54:03, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.5606, top5_acc: 0.8413, loss_cls: 6.1247, loss: 6.1247 2025-04-29 14:47:13,574 - pyskl - INFO - Epoch [63][500/1027] lr: 1.574e-02, eta: 11:53:15, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8213, loss_cls: 6.2388, loss: 6.2388 2025-04-29 14:48:01,737 - pyskl - INFO - Epoch [63][600/1027] lr: 1.571e-02, eta: 11:52:28, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5269, top5_acc: 0.8044, loss_cls: 6.4152, loss: 6.4152 2025-04-29 14:48:52,049 - pyskl - INFO - Epoch [63][700/1027] lr: 1.569e-02, eta: 11:51:44, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.8087, loss_cls: 6.3451, loss: 6.3451 2025-04-29 14:49:42,349 - pyskl - INFO - Epoch [63][800/1027] lr: 1.566e-02, eta: 11:51:00, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8081, loss_cls: 6.3035, loss: 6.3035 2025-04-29 14:50:31,695 - pyskl - INFO - Epoch [63][900/1027] lr: 1.564e-02, eta: 11:50:15, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.5350, top5_acc: 0.7975, loss_cls: 6.4444, loss: 6.4444 2025-04-29 14:51:22,081 - pyskl - INFO - Epoch [63][1000/1027] lr: 1.562e-02, eta: 11:49:31, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8125, loss_cls: 6.4632, loss: 6.4632 2025-04-29 14:51:37,056 - pyskl - INFO - Saving checkpoint at 63 epochs 2025-04-29 14:52:18,554 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 14:52:18,626 - pyskl - INFO - top1_acc 0.5113 top5_acc 0.8168 2025-04-29 14:52:18,626 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 14:52:18,633 - pyskl - INFO - mean_acc 0.5090 2025-04-29 14:52:18,635 - pyskl - INFO - Epoch(val) [63][413] top1_acc: 0.5113, top5_acc: 0.8168, mean_class_accuracy: 0.5090 2025-04-29 14:53:24,290 - pyskl - INFO - Epoch [64][100/1027] lr: 1.558e-02, eta: 11:48:38, time: 0.656, data_time: 0.264, memory: 7959, top1_acc: 0.5650, top5_acc: 0.8219, loss_cls: 6.2201, loss: 6.2201 2025-04-29 14:54:10,135 - pyskl - INFO - Epoch [64][200/1027] lr: 1.556e-02, eta: 11:47:48, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.5506, top5_acc: 0.8013, loss_cls: 6.3156, loss: 6.3156 2025-04-29 14:54:59,308 - pyskl - INFO - Epoch [64][300/1027] lr: 1.553e-02, eta: 11:47:02, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8175, loss_cls: 6.4106, loss: 6.4106 2025-04-29 14:55:48,960 - pyskl - INFO - Epoch [64][400/1027] lr: 1.551e-02, eta: 11:46:17, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.8163, loss_cls: 6.2756, loss: 6.2756 2025-04-29 14:56:38,301 - pyskl - INFO - Epoch [64][500/1027] lr: 1.549e-02, eta: 11:45:32, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.5537, top5_acc: 0.8137, loss_cls: 6.2026, loss: 6.2026 2025-04-29 14:57:27,971 - pyskl - INFO - Epoch [64][600/1027] lr: 1.546e-02, eta: 11:44:47, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.5363, top5_acc: 0.8100, loss_cls: 6.3231, loss: 6.3231 2025-04-29 14:58:17,721 - pyskl - INFO - Epoch [64][700/1027] lr: 1.544e-02, eta: 11:44:02, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.5469, top5_acc: 0.8056, loss_cls: 6.2038, loss: 6.2038 2025-04-29 14:59:07,158 - pyskl - INFO - Epoch [64][800/1027] lr: 1.541e-02, eta: 11:43:17, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.5469, top5_acc: 0.7963, loss_cls: 6.3801, loss: 6.3801 2025-04-29 14:59:56,400 - pyskl - INFO - Epoch [64][900/1027] lr: 1.539e-02, eta: 11:42:31, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.5456, top5_acc: 0.8006, loss_cls: 6.4202, loss: 6.4202 2025-04-29 15:00:45,051 - pyskl - INFO - Epoch [64][1000/1027] lr: 1.536e-02, eta: 11:41:45, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8087, loss_cls: 6.2233, loss: 6.2233 2025-04-29 15:00:58,256 - pyskl - INFO - Saving checkpoint at 64 epochs 2025-04-29 15:01:38,319 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 15:01:38,390 - pyskl - INFO - top1_acc 0.5346 top5_acc 0.8348 2025-04-29 15:01:38,391 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 15:01:38,399 - pyskl - INFO - mean_acc 0.5361 2025-04-29 15:01:38,461 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_54.pth was removed 2025-04-29 15:01:40,129 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_64.pth. 2025-04-29 15:01:40,130 - pyskl - INFO - Best top1_acc is 0.5346 at 64 epoch. 2025-04-29 15:01:40,133 - pyskl - INFO - Epoch(val) [64][413] top1_acc: 0.5346, top5_acc: 0.8348, mean_class_accuracy: 0.5361 2025-04-29 15:02:43,740 - pyskl - INFO - Epoch [65][100/1027] lr: 1.533e-02, eta: 11:40:49, time: 0.636, data_time: 0.257, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8331, loss_cls: 6.2020, loss: 6.2020 2025-04-29 15:03:27,182 - pyskl - INFO - Epoch [65][200/1027] lr: 1.530e-02, eta: 11:39:55, time: 0.434, data_time: 0.000, memory: 7959, top1_acc: 0.5837, top5_acc: 0.8287, loss_cls: 6.0134, loss: 6.0134 2025-04-29 15:04:12,965 - pyskl - INFO - Epoch [65][300/1027] lr: 1.528e-02, eta: 11:39:05, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.5644, top5_acc: 0.8144, loss_cls: 6.2104, loss: 6.2104 2025-04-29 15:04:59,619 - pyskl - INFO - Epoch [65][400/1027] lr: 1.526e-02, eta: 11:38:16, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5600, top5_acc: 0.8275, loss_cls: 6.1361, loss: 6.1361 2025-04-29 15:05:46,693 - pyskl - INFO - Epoch [65][500/1027] lr: 1.523e-02, eta: 11:37:28, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5419, top5_acc: 0.8013, loss_cls: 6.3987, loss: 6.3987 2025-04-29 15:06:34,331 - pyskl - INFO - Epoch [65][600/1027] lr: 1.521e-02, eta: 11:36:40, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5544, top5_acc: 0.8250, loss_cls: 6.2538, loss: 6.2538 2025-04-29 15:07:21,789 - pyskl - INFO - Epoch [65][700/1027] lr: 1.518e-02, eta: 11:35:52, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5206, top5_acc: 0.7963, loss_cls: 6.4033, loss: 6.4033 2025-04-29 15:08:08,865 - pyskl - INFO - Epoch [65][800/1027] lr: 1.516e-02, eta: 11:35:04, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5613, top5_acc: 0.8175, loss_cls: 6.2352, loss: 6.2352 2025-04-29 15:08:56,254 - pyskl - INFO - Epoch [65][900/1027] lr: 1.513e-02, eta: 11:34:16, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5419, top5_acc: 0.8187, loss_cls: 6.2946, loss: 6.2946 2025-04-29 15:09:42,670 - pyskl - INFO - Epoch [65][1000/1027] lr: 1.511e-02, eta: 11:33:27, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.5319, top5_acc: 0.8081, loss_cls: 6.3360, loss: 6.3360 2025-04-29 15:09:56,158 - pyskl - INFO - Saving checkpoint at 65 epochs 2025-04-29 15:10:35,891 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 15:10:35,962 - pyskl - INFO - top1_acc 0.5439 top5_acc 0.8321 2025-04-29 15:10:35,962 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 15:10:35,969 - pyskl - INFO - mean_acc 0.5465 2025-04-29 15:10:36,039 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_64.pth was removed 2025-04-29 15:10:37,684 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. 2025-04-29 15:10:37,685 - pyskl - INFO - Best top1_acc is 0.5439 at 65 epoch. 2025-04-29 15:10:37,689 - pyskl - INFO - Epoch(val) [65][413] top1_acc: 0.5439, top5_acc: 0.8321, mean_class_accuracy: 0.5465 2025-04-29 15:11:41,543 - pyskl - INFO - Epoch [66][100/1027] lr: 1.507e-02, eta: 11:32:30, time: 0.638, data_time: 0.257, memory: 7959, top1_acc: 0.5725, top5_acc: 0.8325, loss_cls: 6.1528, loss: 6.1528 2025-04-29 15:12:25,571 - pyskl - INFO - Epoch [66][200/1027] lr: 1.505e-02, eta: 11:31:38, time: 0.440, data_time: 0.000, memory: 7959, top1_acc: 0.5675, top5_acc: 0.8281, loss_cls: 6.1161, loss: 6.1161 2025-04-29 15:13:11,441 - pyskl - INFO - Epoch [66][300/1027] lr: 1.502e-02, eta: 11:30:48, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.5756, top5_acc: 0.8256, loss_cls: 6.0879, loss: 6.0879 2025-04-29 15:13:57,483 - pyskl - INFO - Epoch [66][400/1027] lr: 1.500e-02, eta: 11:29:58, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.5644, top5_acc: 0.8344, loss_cls: 6.0291, loss: 6.0291 2025-04-29 15:14:45,037 - pyskl - INFO - Epoch [66][500/1027] lr: 1.497e-02, eta: 11:29:11, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5356, top5_acc: 0.8063, loss_cls: 6.4419, loss: 6.4419 2025-04-29 15:15:30,901 - pyskl - INFO - Epoch [66][600/1027] lr: 1.495e-02, eta: 11:28:21, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.8125, loss_cls: 6.3384, loss: 6.3384 2025-04-29 15:16:18,890 - pyskl - INFO - Epoch [66][700/1027] lr: 1.492e-02, eta: 11:27:33, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8306, loss_cls: 6.2028, loss: 6.2028 2025-04-29 15:17:05,840 - pyskl - INFO - Epoch [66][800/1027] lr: 1.490e-02, eta: 11:26:45, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8031, loss_cls: 6.3203, loss: 6.3203 2025-04-29 15:17:53,353 - pyskl - INFO - Epoch [66][900/1027] lr: 1.487e-02, eta: 11:25:57, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5737, top5_acc: 0.8144, loss_cls: 6.2631, loss: 6.2631 2025-04-29 15:18:40,633 - pyskl - INFO - Epoch [66][1000/1027] lr: 1.485e-02, eta: 11:25:09, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5225, top5_acc: 0.7944, loss_cls: 6.4599, loss: 6.4599 2025-04-29 15:18:54,544 - pyskl - INFO - Saving checkpoint at 66 epochs 2025-04-29 15:19:35,455 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 15:19:35,525 - pyskl - INFO - top1_acc 0.5286 top5_acc 0.8406 2025-04-29 15:19:35,526 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 15:19:35,533 - pyskl - INFO - mean_acc 0.5303 2025-04-29 15:19:35,535 - pyskl - INFO - Epoch(val) [66][413] top1_acc: 0.5286, top5_acc: 0.8406, mean_class_accuracy: 0.5303 2025-04-29 15:20:40,474 - pyskl - INFO - Epoch [67][100/1027] lr: 1.482e-02, eta: 11:24:14, time: 0.649, data_time: 0.265, memory: 7959, top1_acc: 0.5706, top5_acc: 0.8313, loss_cls: 6.1897, loss: 6.1897 2025-04-29 15:21:24,173 - pyskl - INFO - Epoch [67][200/1027] lr: 1.479e-02, eta: 11:23:22, time: 0.437, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8231, loss_cls: 6.1180, loss: 6.1180 2025-04-29 15:22:11,092 - pyskl - INFO - Epoch [67][300/1027] lr: 1.477e-02, eta: 11:22:33, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.5806, top5_acc: 0.8350, loss_cls: 6.0445, loss: 6.0445 2025-04-29 15:22:57,342 - pyskl - INFO - Epoch [67][400/1027] lr: 1.474e-02, eta: 11:21:44, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8244, loss_cls: 6.1153, loss: 6.1153 2025-04-29 15:23:44,439 - pyskl - INFO - Epoch [67][500/1027] lr: 1.472e-02, eta: 11:20:55, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8313, loss_cls: 6.1776, loss: 6.1776 2025-04-29 15:24:31,521 - pyskl - INFO - Epoch [67][600/1027] lr: 1.469e-02, eta: 11:20:07, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5337, top5_acc: 0.8013, loss_cls: 6.4306, loss: 6.4306 2025-04-29 15:25:19,085 - pyskl - INFO - Epoch [67][700/1027] lr: 1.467e-02, eta: 11:19:19, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8144, loss_cls: 6.1989, loss: 6.1989 2025-04-29 15:26:06,297 - pyskl - INFO - Epoch [67][800/1027] lr: 1.464e-02, eta: 11:18:31, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5637, top5_acc: 0.8075, loss_cls: 6.3880, loss: 6.3880 2025-04-29 15:26:53,695 - pyskl - INFO - Epoch [67][900/1027] lr: 1.462e-02, eta: 11:17:43, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5613, top5_acc: 0.8325, loss_cls: 6.1804, loss: 6.1804 2025-04-29 15:27:40,693 - pyskl - INFO - Epoch [67][1000/1027] lr: 1.459e-02, eta: 11:16:55, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.8237, loss_cls: 6.3388, loss: 6.3388 2025-04-29 15:27:54,520 - pyskl - INFO - Saving checkpoint at 67 epochs 2025-04-29 15:28:35,099 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 15:28:35,172 - pyskl - INFO - top1_acc 0.5393 top5_acc 0.8351 2025-04-29 15:28:35,173 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 15:28:35,181 - pyskl - INFO - mean_acc 0.5396 2025-04-29 15:28:35,183 - pyskl - INFO - Epoch(val) [67][413] top1_acc: 0.5393, top5_acc: 0.8351, mean_class_accuracy: 0.5396 2025-04-29 15:29:42,304 - pyskl - INFO - Epoch [68][100/1027] lr: 1.456e-02, eta: 11:16:02, time: 0.671, data_time: 0.289, memory: 7959, top1_acc: 0.5969, top5_acc: 0.8406, loss_cls: 6.0381, loss: 6.0381 2025-04-29 15:30:26,205 - pyskl - INFO - Epoch [68][200/1027] lr: 1.453e-02, eta: 11:15:10, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.5706, top5_acc: 0.8337, loss_cls: 6.0919, loss: 6.0919 2025-04-29 15:31:11,461 - pyskl - INFO - Epoch [68][300/1027] lr: 1.451e-02, eta: 11:14:20, time: 0.453, data_time: 0.000, memory: 7959, top1_acc: 0.5681, top5_acc: 0.8256, loss_cls: 6.0910, loss: 6.0910 2025-04-29 15:31:57,294 - pyskl - INFO - Epoch [68][400/1027] lr: 1.448e-02, eta: 11:13:30, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.5681, top5_acc: 0.8350, loss_cls: 6.0812, loss: 6.0812 2025-04-29 15:32:44,400 - pyskl - INFO - Epoch [68][500/1027] lr: 1.446e-02, eta: 11:12:41, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5756, top5_acc: 0.8094, loss_cls: 6.2996, loss: 6.2996 2025-04-29 15:33:31,111 - pyskl - INFO - Epoch [68][600/1027] lr: 1.443e-02, eta: 11:11:53, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5631, top5_acc: 0.8294, loss_cls: 6.1984, loss: 6.1984 2025-04-29 15:34:19,236 - pyskl - INFO - Epoch [68][700/1027] lr: 1.441e-02, eta: 11:11:06, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5650, top5_acc: 0.8244, loss_cls: 6.1037, loss: 6.1037 2025-04-29 15:35:05,964 - pyskl - INFO - Epoch [68][800/1027] lr: 1.438e-02, eta: 11:10:17, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5419, top5_acc: 0.8106, loss_cls: 6.3243, loss: 6.3243 2025-04-29 15:35:53,955 - pyskl - INFO - Epoch [68][900/1027] lr: 1.436e-02, eta: 11:09:30, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5569, top5_acc: 0.8213, loss_cls: 6.2041, loss: 6.2041 2025-04-29 15:36:41,568 - pyskl - INFO - Epoch [68][1000/1027] lr: 1.433e-02, eta: 11:08:42, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5500, top5_acc: 0.8087, loss_cls: 6.3601, loss: 6.3601 2025-04-29 15:36:55,292 - pyskl - INFO - Saving checkpoint at 68 epochs 2025-04-29 15:37:34,769 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 15:37:34,845 - pyskl - INFO - top1_acc 0.5152 top5_acc 0.8054 2025-04-29 15:37:34,845 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 15:37:34,853 - pyskl - INFO - mean_acc 0.5185 2025-04-29 15:37:34,855 - pyskl - INFO - Epoch(val) [68][413] top1_acc: 0.5152, top5_acc: 0.8054, mean_class_accuracy: 0.5185 2025-04-29 15:38:39,354 - pyskl - INFO - Epoch [69][100/1027] lr: 1.430e-02, eta: 11:07:46, time: 0.645, data_time: 0.260, memory: 7959, top1_acc: 0.5931, top5_acc: 0.8375, loss_cls: 6.0275, loss: 6.0275 2025-04-29 15:39:23,273 - pyskl - INFO - Epoch [69][200/1027] lr: 1.428e-02, eta: 11:06:54, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8319, loss_cls: 6.2162, loss: 6.2162 2025-04-29 15:40:09,115 - pyskl - INFO - Epoch [69][300/1027] lr: 1.425e-02, eta: 11:06:05, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.5938, top5_acc: 0.8369, loss_cls: 6.0209, loss: 6.0209 2025-04-29 15:40:56,054 - pyskl - INFO - Epoch [69][400/1027] lr: 1.423e-02, eta: 11:05:16, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.5719, top5_acc: 0.8163, loss_cls: 6.1398, loss: 6.1398 2025-04-29 15:41:43,801 - pyskl - INFO - Epoch [69][500/1027] lr: 1.420e-02, eta: 11:04:29, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5787, top5_acc: 0.8281, loss_cls: 6.1048, loss: 6.1048 2025-04-29 15:42:30,218 - pyskl - INFO - Epoch [69][600/1027] lr: 1.417e-02, eta: 11:03:40, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.5437, top5_acc: 0.8175, loss_cls: 6.1756, loss: 6.1756 2025-04-29 15:43:17,355 - pyskl - INFO - Epoch [69][700/1027] lr: 1.415e-02, eta: 11:02:51, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5619, top5_acc: 0.8225, loss_cls: 6.1958, loss: 6.1958 2025-04-29 15:44:05,079 - pyskl - INFO - Epoch [69][800/1027] lr: 1.412e-02, eta: 11:02:04, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5606, top5_acc: 0.8263, loss_cls: 6.0745, loss: 6.0745 2025-04-29 15:44:52,577 - pyskl - INFO - Epoch [69][900/1027] lr: 1.410e-02, eta: 11:01:16, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5619, top5_acc: 0.8187, loss_cls: 6.2149, loss: 6.2149 2025-04-29 15:45:40,042 - pyskl - INFO - Epoch [69][1000/1027] lr: 1.407e-02, eta: 11:00:28, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5675, top5_acc: 0.8287, loss_cls: 6.1468, loss: 6.1468 2025-04-29 15:45:53,434 - pyskl - INFO - Saving checkpoint at 69 epochs 2025-04-29 15:46:33,167 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 15:46:33,239 - pyskl - INFO - top1_acc 0.5274 top5_acc 0.8188 2025-04-29 15:46:33,239 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 15:46:33,247 - pyskl - INFO - mean_acc 0.5305 2025-04-29 15:46:33,249 - pyskl - INFO - Epoch(val) [69][413] top1_acc: 0.5274, top5_acc: 0.8188, mean_class_accuracy: 0.5305 2025-04-29 15:47:38,518 - pyskl - INFO - Epoch [70][100/1027] lr: 1.404e-02, eta: 10:59:33, time: 0.653, data_time: 0.265, memory: 7959, top1_acc: 0.6181, top5_acc: 0.8575, loss_cls: 5.7502, loss: 5.7502 2025-04-29 15:48:23,830 - pyskl - INFO - Epoch [70][200/1027] lr: 1.402e-02, eta: 10:58:43, time: 0.453, data_time: 0.000, memory: 7959, top1_acc: 0.5956, top5_acc: 0.8394, loss_cls: 6.0842, loss: 6.0842 2025-04-29 15:49:12,368 - pyskl - INFO - Epoch [70][300/1027] lr: 1.399e-02, eta: 10:57:57, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.5844, top5_acc: 0.8419, loss_cls: 6.1021, loss: 6.1021 2025-04-29 15:50:02,557 - pyskl - INFO - Epoch [70][400/1027] lr: 1.397e-02, eta: 10:57:12, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.5781, top5_acc: 0.8250, loss_cls: 6.0578, loss: 6.0578 2025-04-29 15:50:52,639 - pyskl - INFO - Epoch [70][500/1027] lr: 1.394e-02, eta: 10:56:27, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.5819, top5_acc: 0.8413, loss_cls: 6.0607, loss: 6.0607 2025-04-29 15:51:42,287 - pyskl - INFO - Epoch [70][600/1027] lr: 1.392e-02, eta: 10:55:42, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.5906, top5_acc: 0.8337, loss_cls: 5.9848, loss: 5.9848 2025-04-29 15:52:31,051 - pyskl - INFO - Epoch [70][700/1027] lr: 1.389e-02, eta: 10:54:55, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.5469, top5_acc: 0.8175, loss_cls: 6.2645, loss: 6.2645 2025-04-29 15:53:19,856 - pyskl - INFO - Epoch [70][800/1027] lr: 1.386e-02, eta: 10:54:09, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8213, loss_cls: 6.2222, loss: 6.2222 2025-04-29 15:54:08,031 - pyskl - INFO - Epoch [70][900/1027] lr: 1.384e-02, eta: 10:53:22, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5669, top5_acc: 0.8263, loss_cls: 6.2440, loss: 6.2440 2025-04-29 15:54:56,248 - pyskl - INFO - Epoch [70][1000/1027] lr: 1.381e-02, eta: 10:52:35, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5625, top5_acc: 0.8331, loss_cls: 6.1899, loss: 6.1899 2025-04-29 15:55:09,818 - pyskl - INFO - Saving checkpoint at 70 epochs 2025-04-29 15:55:50,766 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 15:55:50,837 - pyskl - INFO - top1_acc 0.5524 top5_acc 0.8415 2025-04-29 15:55:50,838 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 15:55:50,845 - pyskl - INFO - mean_acc 0.5552 2025-04-29 15:55:50,910 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_65.pth was removed 2025-04-29 15:55:52,550 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_70.pth. 2025-04-29 15:55:52,552 - pyskl - INFO - Best top1_acc is 0.5524 at 70 epoch. 2025-04-29 15:55:52,554 - pyskl - INFO - Epoch(val) [70][413] top1_acc: 0.5524, top5_acc: 0.8415, mean_class_accuracy: 0.5552 2025-04-29 15:56:57,837 - pyskl - INFO - Epoch [71][100/1027] lr: 1.378e-02, eta: 10:51:40, time: 0.653, data_time: 0.263, memory: 7959, top1_acc: 0.6112, top5_acc: 0.8525, loss_cls: 5.8539, loss: 5.8539 2025-04-29 15:57:43,051 - pyskl - INFO - Epoch [71][200/1027] lr: 1.376e-02, eta: 10:50:50, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8556, loss_cls: 5.9688, loss: 5.9688 2025-04-29 15:58:30,121 - pyskl - INFO - Epoch [71][300/1027] lr: 1.373e-02, eta: 10:50:01, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8431, loss_cls: 5.9315, loss: 5.9315 2025-04-29 15:59:17,226 - pyskl - INFO - Epoch [71][400/1027] lr: 1.371e-02, eta: 10:49:13, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8325, loss_cls: 6.1933, loss: 6.1933 2025-04-29 16:00:04,370 - pyskl - INFO - Epoch [71][500/1027] lr: 1.368e-02, eta: 10:48:25, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5950, top5_acc: 0.8419, loss_cls: 6.0111, loss: 6.0111 2025-04-29 16:00:51,149 - pyskl - INFO - Epoch [71][600/1027] lr: 1.365e-02, eta: 10:47:36, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.5781, top5_acc: 0.8369, loss_cls: 6.0592, loss: 6.0592 2025-04-29 16:01:37,310 - pyskl - INFO - Epoch [71][700/1027] lr: 1.363e-02, eta: 10:46:47, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.5725, top5_acc: 0.8231, loss_cls: 6.2211, loss: 6.2211 2025-04-29 16:02:24,466 - pyskl - INFO - Epoch [71][800/1027] lr: 1.360e-02, eta: 10:45:59, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8381, loss_cls: 6.1075, loss: 6.1075 2025-04-29 16:03:10,852 - pyskl - INFO - Epoch [71][900/1027] lr: 1.358e-02, eta: 10:45:10, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.5450, top5_acc: 0.8200, loss_cls: 6.3000, loss: 6.3000 2025-04-29 16:03:58,572 - pyskl - INFO - Epoch [71][1000/1027] lr: 1.355e-02, eta: 10:44:22, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5637, top5_acc: 0.8263, loss_cls: 6.1827, loss: 6.1827 2025-04-29 16:04:12,109 - pyskl - INFO - Saving checkpoint at 71 epochs 2025-04-29 16:04:51,551 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 16:04:51,622 - pyskl - INFO - top1_acc 0.5084 top5_acc 0.8159 2025-04-29 16:04:51,622 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 16:04:51,629 - pyskl - INFO - mean_acc 0.5083 2025-04-29 16:04:51,631 - pyskl - INFO - Epoch(val) [71][413] top1_acc: 0.5084, top5_acc: 0.8159, mean_class_accuracy: 0.5083 2025-04-29 16:05:55,825 - pyskl - INFO - Epoch [72][100/1027] lr: 1.352e-02, eta: 10:43:26, time: 0.642, data_time: 0.258, memory: 7959, top1_acc: 0.6206, top5_acc: 0.8431, loss_cls: 5.8665, loss: 5.8665 2025-04-29 16:06:39,639 - pyskl - INFO - Epoch [72][200/1027] lr: 1.350e-02, eta: 10:42:34, time: 0.438, data_time: 0.000, memory: 7959, top1_acc: 0.5969, top5_acc: 0.8406, loss_cls: 5.9033, loss: 5.9033 2025-04-29 16:07:26,308 - pyskl - INFO - Epoch [72][300/1027] lr: 1.347e-02, eta: 10:41:45, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8369, loss_cls: 6.0478, loss: 6.0478 2025-04-29 16:08:13,438 - pyskl - INFO - Epoch [72][400/1027] lr: 1.344e-02, eta: 10:40:57, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6038, top5_acc: 0.8444, loss_cls: 6.0012, loss: 6.0012 2025-04-29 16:09:01,205 - pyskl - INFO - Epoch [72][500/1027] lr: 1.342e-02, eta: 10:40:10, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.5850, top5_acc: 0.8306, loss_cls: 6.1226, loss: 6.1226 2025-04-29 16:09:48,719 - pyskl - INFO - Epoch [72][600/1027] lr: 1.339e-02, eta: 10:39:22, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5938, top5_acc: 0.8237, loss_cls: 5.9964, loss: 5.9964 2025-04-29 16:10:36,765 - pyskl - INFO - Epoch [72][700/1027] lr: 1.337e-02, eta: 10:38:35, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5744, top5_acc: 0.8387, loss_cls: 6.1328, loss: 6.1328 2025-04-29 16:11:24,371 - pyskl - INFO - Epoch [72][800/1027] lr: 1.334e-02, eta: 10:37:47, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5719, top5_acc: 0.8431, loss_cls: 6.0707, loss: 6.0707 2025-04-29 16:12:12,772 - pyskl - INFO - Epoch [72][900/1027] lr: 1.332e-02, eta: 10:37:00, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8387, loss_cls: 6.0934, loss: 6.0934 2025-04-29 16:13:00,148 - pyskl - INFO - Epoch [72][1000/1027] lr: 1.329e-02, eta: 10:36:12, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5694, top5_acc: 0.8144, loss_cls: 6.1735, loss: 6.1735 2025-04-29 16:13:14,655 - pyskl - INFO - Saving checkpoint at 72 epochs 2025-04-29 16:13:55,190 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 16:13:55,261 - pyskl - INFO - top1_acc 0.5099 top5_acc 0.8059 2025-04-29 16:13:55,261 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 16:13:55,272 - pyskl - INFO - mean_acc 0.5112 2025-04-29 16:13:55,274 - pyskl - INFO - Epoch(val) [72][413] top1_acc: 0.5099, top5_acc: 0.8059, mean_class_accuracy: 0.5112 2025-04-29 16:15:00,440 - pyskl - INFO - Epoch [73][100/1027] lr: 1.326e-02, eta: 10:35:17, time: 0.652, data_time: 0.269, memory: 7959, top1_acc: 0.6075, top5_acc: 0.8387, loss_cls: 5.8756, loss: 5.8756 2025-04-29 16:15:44,092 - pyskl - INFO - Epoch [73][200/1027] lr: 1.323e-02, eta: 10:34:25, time: 0.437, data_time: 0.000, memory: 7959, top1_acc: 0.6162, top5_acc: 0.8544, loss_cls: 5.8176, loss: 5.8176 2025-04-29 16:16:29,713 - pyskl - INFO - Epoch [73][300/1027] lr: 1.321e-02, eta: 10:33:35, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.5913, top5_acc: 0.8363, loss_cls: 6.0678, loss: 6.0678 2025-04-29 16:17:16,011 - pyskl - INFO - Epoch [73][400/1027] lr: 1.318e-02, eta: 10:32:46, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.6131, top5_acc: 0.8438, loss_cls: 5.8517, loss: 5.8517 2025-04-29 16:18:02,849 - pyskl - INFO - Epoch [73][500/1027] lr: 1.316e-02, eta: 10:31:57, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.5981, top5_acc: 0.8413, loss_cls: 6.0166, loss: 6.0166 2025-04-29 16:18:50,040 - pyskl - INFO - Epoch [73][600/1027] lr: 1.313e-02, eta: 10:31:09, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5819, top5_acc: 0.8281, loss_cls: 6.0800, loss: 6.0800 2025-04-29 16:19:36,825 - pyskl - INFO - Epoch [73][700/1027] lr: 1.311e-02, eta: 10:30:21, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8119, loss_cls: 6.1369, loss: 6.1369 2025-04-29 16:20:24,116 - pyskl - INFO - Epoch [73][800/1027] lr: 1.308e-02, eta: 10:29:33, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5737, top5_acc: 0.8219, loss_cls: 6.0797, loss: 6.0797 2025-04-29 16:21:11,678 - pyskl - INFO - Epoch [73][900/1027] lr: 1.306e-02, eta: 10:28:45, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8306, loss_cls: 5.9465, loss: 5.9465 2025-04-29 16:21:58,767 - pyskl - INFO - Epoch [73][1000/1027] lr: 1.303e-02, eta: 10:27:57, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5700, top5_acc: 0.8287, loss_cls: 6.1557, loss: 6.1557 2025-04-29 16:22:12,286 - pyskl - INFO - Saving checkpoint at 73 epochs 2025-04-29 16:22:51,953 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 16:22:52,025 - pyskl - INFO - top1_acc 0.5411 top5_acc 0.8274 2025-04-29 16:22:52,026 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 16:22:52,033 - pyskl - INFO - mean_acc 0.5391 2025-04-29 16:22:52,035 - pyskl - INFO - Epoch(val) [73][413] top1_acc: 0.5411, top5_acc: 0.8274, mean_class_accuracy: 0.5391 2025-04-29 16:23:55,791 - pyskl - INFO - Epoch [74][100/1027] lr: 1.300e-02, eta: 10:27:00, time: 0.638, data_time: 0.257, memory: 7959, top1_acc: 0.6031, top5_acc: 0.8656, loss_cls: 5.9018, loss: 5.9018 2025-04-29 16:24:39,594 - pyskl - INFO - Epoch [74][200/1027] lr: 1.297e-02, eta: 10:26:08, time: 0.438, data_time: 0.000, memory: 7959, top1_acc: 0.6088, top5_acc: 0.8550, loss_cls: 5.8916, loss: 5.8916 2025-04-29 16:25:26,381 - pyskl - INFO - Epoch [74][300/1027] lr: 1.295e-02, eta: 10:25:20, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.6169, top5_acc: 0.8506, loss_cls: 5.8002, loss: 5.8002 2025-04-29 16:26:13,132 - pyskl - INFO - Epoch [74][400/1027] lr: 1.292e-02, eta: 10:24:31, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5687, top5_acc: 0.8225, loss_cls: 6.2261, loss: 6.2261 2025-04-29 16:26:59,827 - pyskl - INFO - Epoch [74][500/1027] lr: 1.290e-02, eta: 10:23:43, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5919, top5_acc: 0.8556, loss_cls: 5.9320, loss: 5.9320 2025-04-29 16:27:47,223 - pyskl - INFO - Epoch [74][600/1027] lr: 1.287e-02, eta: 10:22:55, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5669, top5_acc: 0.8381, loss_cls: 6.0716, loss: 6.0716 2025-04-29 16:28:34,971 - pyskl - INFO - Epoch [74][700/1027] lr: 1.285e-02, eta: 10:22:07, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6031, top5_acc: 0.8488, loss_cls: 5.9342, loss: 5.9342 2025-04-29 16:29:21,955 - pyskl - INFO - Epoch [74][800/1027] lr: 1.282e-02, eta: 10:21:19, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.5875, top5_acc: 0.8419, loss_cls: 6.0024, loss: 6.0024 2025-04-29 16:30:09,060 - pyskl - INFO - Epoch [74][900/1027] lr: 1.279e-02, eta: 10:20:31, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8400, loss_cls: 6.0751, loss: 6.0751 2025-04-29 16:30:56,132 - pyskl - INFO - Epoch [74][1000/1027] lr: 1.277e-02, eta: 10:19:43, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5856, top5_acc: 0.8381, loss_cls: 6.0889, loss: 6.0889 2025-04-29 16:31:09,158 - pyskl - INFO - Saving checkpoint at 74 epochs 2025-04-29 16:31:49,114 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 16:31:49,185 - pyskl - INFO - top1_acc 0.5445 top5_acc 0.8410 2025-04-29 16:31:49,186 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 16:31:49,193 - pyskl - INFO - mean_acc 0.5473 2025-04-29 16:31:49,195 - pyskl - INFO - Epoch(val) [74][413] top1_acc: 0.5445, top5_acc: 0.8410, mean_class_accuracy: 0.5473 2025-04-29 16:32:54,538 - pyskl - INFO - Epoch [75][100/1027] lr: 1.274e-02, eta: 10:18:47, time: 0.653, data_time: 0.271, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8519, loss_cls: 5.9490, loss: 5.9490 2025-04-29 16:33:37,949 - pyskl - INFO - Epoch [75][200/1027] lr: 1.271e-02, eta: 10:17:55, time: 0.434, data_time: 0.000, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8612, loss_cls: 5.7192, loss: 5.7192 2025-04-29 16:34:22,522 - pyskl - INFO - Epoch [75][300/1027] lr: 1.269e-02, eta: 10:17:04, time: 0.446, data_time: 0.000, memory: 7959, top1_acc: 0.6031, top5_acc: 0.8538, loss_cls: 5.8291, loss: 5.8291 2025-04-29 16:35:08,691 - pyskl - INFO - Epoch [75][400/1027] lr: 1.266e-02, eta: 10:16:15, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.5906, top5_acc: 0.8494, loss_cls: 6.0163, loss: 6.0163 2025-04-29 16:35:55,555 - pyskl - INFO - Epoch [75][500/1027] lr: 1.263e-02, eta: 10:15:27, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.5913, top5_acc: 0.8475, loss_cls: 5.9535, loss: 5.9535 2025-04-29 16:36:43,059 - pyskl - INFO - Epoch [75][600/1027] lr: 1.261e-02, eta: 10:14:39, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8425, loss_cls: 5.9337, loss: 5.9337 2025-04-29 16:37:30,276 - pyskl - INFO - Epoch [75][700/1027] lr: 1.258e-02, eta: 10:13:51, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6131, top5_acc: 0.8469, loss_cls: 5.8197, loss: 5.8197 2025-04-29 16:38:17,738 - pyskl - INFO - Epoch [75][800/1027] lr: 1.256e-02, eta: 10:13:03, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5950, top5_acc: 0.8387, loss_cls: 5.9273, loss: 5.9273 2025-04-29 16:39:05,076 - pyskl - INFO - Epoch [75][900/1027] lr: 1.253e-02, eta: 10:12:15, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5725, top5_acc: 0.8431, loss_cls: 5.9612, loss: 5.9612 2025-04-29 16:39:53,028 - pyskl - INFO - Epoch [75][1000/1027] lr: 1.251e-02, eta: 10:11:28, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5837, top5_acc: 0.8294, loss_cls: 6.0108, loss: 6.0108 2025-04-29 16:40:06,762 - pyskl - INFO - Saving checkpoint at 75 epochs 2025-04-29 16:40:48,150 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 16:40:48,225 - pyskl - INFO - top1_acc 0.5061 top5_acc 0.7731 2025-04-29 16:40:48,225 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 16:40:48,235 - pyskl - INFO - mean_acc 0.4994 2025-04-29 16:40:48,238 - pyskl - INFO - Epoch(val) [75][413] top1_acc: 0.5061, top5_acc: 0.7731, mean_class_accuracy: 0.4994 2025-04-29 16:41:54,485 - pyskl - INFO - Epoch [76][100/1027] lr: 1.247e-02, eta: 10:10:33, time: 0.662, data_time: 0.276, memory: 7959, top1_acc: 0.6350, top5_acc: 0.8725, loss_cls: 5.6534, loss: 5.6534 2025-04-29 16:42:38,661 - pyskl - INFO - Epoch [76][200/1027] lr: 1.245e-02, eta: 10:09:42, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8656, loss_cls: 5.6330, loss: 5.6330 2025-04-29 16:43:24,048 - pyskl - INFO - Epoch [76][300/1027] lr: 1.242e-02, eta: 10:08:53, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8363, loss_cls: 5.9882, loss: 5.9882 2025-04-29 16:44:10,863 - pyskl - INFO - Epoch [76][400/1027] lr: 1.240e-02, eta: 10:08:04, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8562, loss_cls: 5.8562, loss: 5.8562 2025-04-29 16:44:58,299 - pyskl - INFO - Epoch [76][500/1027] lr: 1.237e-02, eta: 10:07:16, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5969, top5_acc: 0.8319, loss_cls: 5.9960, loss: 5.9960 2025-04-29 16:45:44,557 - pyskl - INFO - Epoch [76][600/1027] lr: 1.235e-02, eta: 10:06:27, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.5944, top5_acc: 0.8606, loss_cls: 5.9393, loss: 5.9393 2025-04-29 16:46:32,817 - pyskl - INFO - Epoch [76][700/1027] lr: 1.232e-02, eta: 10:05:40, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.5831, top5_acc: 0.8331, loss_cls: 5.9666, loss: 5.9666 2025-04-29 16:47:22,705 - pyskl - INFO - Epoch [76][800/1027] lr: 1.230e-02, eta: 10:04:55, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.5944, top5_acc: 0.8294, loss_cls: 6.0702, loss: 6.0702 2025-04-29 16:48:12,358 - pyskl - INFO - Epoch [76][900/1027] lr: 1.227e-02, eta: 10:04:09, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.5925, top5_acc: 0.8375, loss_cls: 5.9150, loss: 5.9150 2025-04-29 16:49:03,058 - pyskl - INFO - Epoch [76][1000/1027] lr: 1.225e-02, eta: 10:03:25, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8325, loss_cls: 5.8986, loss: 5.8986 2025-04-29 16:49:17,246 - pyskl - INFO - Saving checkpoint at 76 epochs 2025-04-29 16:49:59,550 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 16:49:59,624 - pyskl - INFO - top1_acc 0.5283 top5_acc 0.8268 2025-04-29 16:49:59,624 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 16:49:59,633 - pyskl - INFO - mean_acc 0.5285 2025-04-29 16:49:59,635 - pyskl - INFO - Epoch(val) [76][413] top1_acc: 0.5283, top5_acc: 0.8268, mean_class_accuracy: 0.5285 2025-04-29 16:51:06,334 - pyskl - INFO - Epoch [77][100/1027] lr: 1.221e-02, eta: 10:02:30, time: 0.667, data_time: 0.270, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8706, loss_cls: 5.6478, loss: 5.6478 2025-04-29 16:51:51,759 - pyskl - INFO - Epoch [77][200/1027] lr: 1.219e-02, eta: 10:01:41, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.6062, top5_acc: 0.8606, loss_cls: 5.7251, loss: 5.7251 2025-04-29 16:52:39,433 - pyskl - INFO - Epoch [77][300/1027] lr: 1.216e-02, eta: 10:00:53, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6081, top5_acc: 0.8612, loss_cls: 5.8470, loss: 5.8470 2025-04-29 16:53:27,203 - pyskl - INFO - Epoch [77][400/1027] lr: 1.214e-02, eta: 10:00:06, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.5944, top5_acc: 0.8375, loss_cls: 5.9149, loss: 5.9149 2025-04-29 16:54:15,828 - pyskl - INFO - Epoch [77][500/1027] lr: 1.211e-02, eta: 9:59:19, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.6012, top5_acc: 0.8456, loss_cls: 5.9486, loss: 5.9486 2025-04-29 16:55:05,879 - pyskl - INFO - Epoch [77][600/1027] lr: 1.209e-02, eta: 9:58:34, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.5863, top5_acc: 0.8275, loss_cls: 6.1566, loss: 6.1566 2025-04-29 16:55:55,791 - pyskl - INFO - Epoch [77][700/1027] lr: 1.206e-02, eta: 9:57:48, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.6206, top5_acc: 0.8638, loss_cls: 5.8751, loss: 5.8751 2025-04-29 16:56:45,984 - pyskl - INFO - Epoch [77][800/1027] lr: 1.203e-02, eta: 9:57:03, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8531, loss_cls: 5.7892, loss: 5.7892 2025-04-29 16:57:35,290 - pyskl - INFO - Epoch [77][900/1027] lr: 1.201e-02, eta: 9:56:17, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8462, loss_cls: 6.0230, loss: 6.0230 2025-04-29 16:58:23,553 - pyskl - INFO - Epoch [77][1000/1027] lr: 1.198e-02, eta: 9:55:30, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.6175, top5_acc: 0.8438, loss_cls: 5.8917, loss: 5.8917 2025-04-29 16:58:37,786 - pyskl - INFO - Saving checkpoint at 77 epochs 2025-04-29 16:59:18,484 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 16:59:18,559 - pyskl - INFO - top1_acc 0.5272 top5_acc 0.7998 2025-04-29 16:59:18,560 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 16:59:18,569 - pyskl - INFO - mean_acc 0.5250 2025-04-29 16:59:18,571 - pyskl - INFO - Epoch(val) [77][413] top1_acc: 0.5272, top5_acc: 0.7998, mean_class_accuracy: 0.5250 2025-04-29 17:00:24,386 - pyskl - INFO - Epoch [78][100/1027] lr: 1.195e-02, eta: 9:54:34, time: 0.658, data_time: 0.270, memory: 7959, top1_acc: 0.6225, top5_acc: 0.8619, loss_cls: 5.5991, loss: 5.5991 2025-04-29 17:01:07,795 - pyskl - INFO - Epoch [78][200/1027] lr: 1.193e-02, eta: 9:53:43, time: 0.434, data_time: 0.000, memory: 7959, top1_acc: 0.6344, top5_acc: 0.8706, loss_cls: 5.7011, loss: 5.7011 2025-04-29 17:01:53,627 - pyskl - INFO - Epoch [78][300/1027] lr: 1.190e-02, eta: 9:52:53, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.6412, top5_acc: 0.8781, loss_cls: 5.7477, loss: 5.7477 2025-04-29 17:02:40,800 - pyskl - INFO - Epoch [78][400/1027] lr: 1.187e-02, eta: 9:52:05, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6262, top5_acc: 0.8600, loss_cls: 5.6939, loss: 5.6939 2025-04-29 17:03:29,352 - pyskl - INFO - Epoch [78][500/1027] lr: 1.185e-02, eta: 9:51:18, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.6125, top5_acc: 0.8662, loss_cls: 5.8834, loss: 5.8834 2025-04-29 17:04:16,476 - pyskl - INFO - Epoch [78][600/1027] lr: 1.182e-02, eta: 9:50:30, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6250, top5_acc: 0.8631, loss_cls: 5.7562, loss: 5.7562 2025-04-29 17:05:03,939 - pyskl - INFO - Epoch [78][700/1027] lr: 1.180e-02, eta: 9:49:42, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5756, top5_acc: 0.8337, loss_cls: 5.9251, loss: 5.9251 2025-04-29 17:05:51,077 - pyskl - INFO - Epoch [78][800/1027] lr: 1.177e-02, eta: 9:48:54, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6012, top5_acc: 0.8444, loss_cls: 5.8710, loss: 5.8710 2025-04-29 17:06:38,168 - pyskl - INFO - Epoch [78][900/1027] lr: 1.175e-02, eta: 9:48:06, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5956, top5_acc: 0.8400, loss_cls: 5.9855, loss: 5.9855 2025-04-29 17:07:25,600 - pyskl - INFO - Epoch [78][1000/1027] lr: 1.172e-02, eta: 9:47:18, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5981, top5_acc: 0.8600, loss_cls: 5.9419, loss: 5.9419 2025-04-29 17:07:39,246 - pyskl - INFO - Saving checkpoint at 78 epochs 2025-04-29 17:08:19,579 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 17:08:19,652 - pyskl - INFO - top1_acc 0.5499 top5_acc 0.8330 2025-04-29 17:08:19,652 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 17:08:19,661 - pyskl - INFO - mean_acc 0.5499 2025-04-29 17:08:19,662 - pyskl - INFO - Epoch(val) [78][413] top1_acc: 0.5499, top5_acc: 0.8330, mean_class_accuracy: 0.5499 2025-04-29 17:09:24,243 - pyskl - INFO - Epoch [79][100/1027] lr: 1.169e-02, eta: 9:46:22, time: 0.646, data_time: 0.259, memory: 7959, top1_acc: 0.6344, top5_acc: 0.8825, loss_cls: 5.6980, loss: 5.6980 2025-04-29 17:10:08,761 - pyskl - INFO - Epoch [79][200/1027] lr: 1.166e-02, eta: 9:45:31, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.6256, top5_acc: 0.8544, loss_cls: 5.6790, loss: 5.6790 2025-04-29 17:10:55,080 - pyskl - INFO - Epoch [79][300/1027] lr: 1.164e-02, eta: 9:44:42, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.6338, top5_acc: 0.8700, loss_cls: 5.7444, loss: 5.7444 2025-04-29 17:11:42,633 - pyskl - INFO - Epoch [79][400/1027] lr: 1.161e-02, eta: 9:43:55, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.6138, top5_acc: 0.8606, loss_cls: 5.7700, loss: 5.7700 2025-04-29 17:12:31,030 - pyskl - INFO - Epoch [79][500/1027] lr: 1.159e-02, eta: 9:43:08, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.6519, top5_acc: 0.8675, loss_cls: 5.6410, loss: 5.6410 2025-04-29 17:13:17,480 - pyskl - INFO - Epoch [79][600/1027] lr: 1.156e-02, eta: 9:42:19, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.6088, top5_acc: 0.8588, loss_cls: 5.8741, loss: 5.8741 2025-04-29 17:14:05,454 - pyskl - INFO - Epoch [79][700/1027] lr: 1.154e-02, eta: 9:41:32, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5931, top5_acc: 0.8356, loss_cls: 5.9515, loss: 5.9515 2025-04-29 17:14:53,062 - pyskl - INFO - Epoch [79][800/1027] lr: 1.151e-02, eta: 9:40:44, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.6375, top5_acc: 0.8569, loss_cls: 5.7688, loss: 5.7688 2025-04-29 17:15:40,836 - pyskl - INFO - Epoch [79][900/1027] lr: 1.149e-02, eta: 9:39:56, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.5931, top5_acc: 0.8419, loss_cls: 5.9521, loss: 5.9521 2025-04-29 17:16:28,242 - pyskl - INFO - Epoch [79][1000/1027] lr: 1.146e-02, eta: 9:39:09, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5975, top5_acc: 0.8456, loss_cls: 5.9721, loss: 5.9721 2025-04-29 17:16:42,377 - pyskl - INFO - Saving checkpoint at 79 epochs 2025-04-29 17:17:23,032 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 17:17:23,109 - pyskl - INFO - top1_acc 0.5477 top5_acc 0.8415 2025-04-29 17:17:23,109 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 17:17:23,117 - pyskl - INFO - mean_acc 0.5471 2025-04-29 17:17:23,119 - pyskl - INFO - Epoch(val) [79][413] top1_acc: 0.5477, top5_acc: 0.8415, mean_class_accuracy: 0.5471 2025-04-29 17:18:27,880 - pyskl - INFO - Epoch [80][100/1027] lr: 1.143e-02, eta: 9:38:12, time: 0.648, data_time: 0.264, memory: 7959, top1_acc: 0.6731, top5_acc: 0.8812, loss_cls: 5.4587, loss: 5.4587 2025-04-29 17:19:11,684 - pyskl - INFO - Epoch [80][200/1027] lr: 1.140e-02, eta: 9:37:21, time: 0.438, data_time: 0.000, memory: 7959, top1_acc: 0.6562, top5_acc: 0.8756, loss_cls: 5.5891, loss: 5.5891 2025-04-29 17:19:58,363 - pyskl - INFO - Epoch [80][300/1027] lr: 1.138e-02, eta: 9:36:32, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.6200, top5_acc: 0.8638, loss_cls: 5.7507, loss: 5.7507 2025-04-29 17:20:44,342 - pyskl - INFO - Epoch [80][400/1027] lr: 1.135e-02, eta: 9:35:43, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8681, loss_cls: 5.8491, loss: 5.8491 2025-04-29 17:21:31,385 - pyskl - INFO - Epoch [80][500/1027] lr: 1.133e-02, eta: 9:34:55, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6238, top5_acc: 0.8619, loss_cls: 5.7895, loss: 5.7895 2025-04-29 17:22:19,249 - pyskl - INFO - Epoch [80][600/1027] lr: 1.130e-02, eta: 9:34:08, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6162, top5_acc: 0.8650, loss_cls: 5.9094, loss: 5.9094 2025-04-29 17:23:07,562 - pyskl - INFO - Epoch [80][700/1027] lr: 1.128e-02, eta: 9:33:21, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.6075, top5_acc: 0.8606, loss_cls: 5.8328, loss: 5.8328 2025-04-29 17:23:54,926 - pyskl - INFO - Epoch [80][800/1027] lr: 1.125e-02, eta: 9:32:33, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.6069, top5_acc: 0.8675, loss_cls: 5.7405, loss: 5.7405 2025-04-29 17:24:42,351 - pyskl - INFO - Epoch [80][900/1027] lr: 1.123e-02, eta: 9:31:45, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.6062, top5_acc: 0.8456, loss_cls: 5.9397, loss: 5.9397 2025-04-29 17:25:29,151 - pyskl - INFO - Epoch [80][1000/1027] lr: 1.120e-02, eta: 9:30:56, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.6169, top5_acc: 0.8594, loss_cls: 5.7975, loss: 5.7975 2025-04-29 17:25:43,069 - pyskl - INFO - Saving checkpoint at 80 epochs 2025-04-29 17:26:23,253 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 17:26:23,330 - pyskl - INFO - top1_acc 0.5595 top5_acc 0.8471 2025-04-29 17:26:23,330 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 17:26:23,339 - pyskl - INFO - mean_acc 0.5646 2025-04-29 17:26:23,412 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_70.pth was removed 2025-04-29 17:26:25,117 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_80.pth. 2025-04-29 17:26:25,119 - pyskl - INFO - Best top1_acc is 0.5595 at 80 epoch. 2025-04-29 17:26:25,122 - pyskl - INFO - Epoch(val) [80][413] top1_acc: 0.5595, top5_acc: 0.8471, mean_class_accuracy: 0.5646 2025-04-29 17:27:29,875 - pyskl - INFO - Epoch [81][100/1027] lr: 1.117e-02, eta: 9:30:00, time: 0.647, data_time: 0.263, memory: 7959, top1_acc: 0.6356, top5_acc: 0.8625, loss_cls: 5.6090, loss: 5.6090 2025-04-29 17:28:14,253 - pyskl - INFO - Epoch [81][200/1027] lr: 1.114e-02, eta: 9:29:09, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.6506, top5_acc: 0.8869, loss_cls: 5.6934, loss: 5.6934 2025-04-29 17:29:00,506 - pyskl - INFO - Epoch [81][300/1027] lr: 1.112e-02, eta: 9:28:20, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.6425, top5_acc: 0.8819, loss_cls: 5.5403, loss: 5.5403 2025-04-29 17:29:47,672 - pyskl - INFO - Epoch [81][400/1027] lr: 1.109e-02, eta: 9:27:32, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8619, loss_cls: 5.6689, loss: 5.6689 2025-04-29 17:30:34,846 - pyskl - INFO - Epoch [81][500/1027] lr: 1.107e-02, eta: 9:26:44, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6362, top5_acc: 0.8656, loss_cls: 5.6992, loss: 5.6992 2025-04-29 17:31:21,541 - pyskl - INFO - Epoch [81][600/1027] lr: 1.104e-02, eta: 9:25:56, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.6181, top5_acc: 0.8662, loss_cls: 5.7716, loss: 5.7716 2025-04-29 17:32:08,908 - pyskl - INFO - Epoch [81][700/1027] lr: 1.102e-02, eta: 9:25:08, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8594, loss_cls: 5.7964, loss: 5.7964 2025-04-29 17:32:56,815 - pyskl - INFO - Epoch [81][800/1027] lr: 1.099e-02, eta: 9:24:21, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6394, top5_acc: 0.8719, loss_cls: 5.5959, loss: 5.5959 2025-04-29 17:33:44,262 - pyskl - INFO - Epoch [81][900/1027] lr: 1.097e-02, eta: 9:23:33, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.6194, top5_acc: 0.8569, loss_cls: 5.8008, loss: 5.8008 2025-04-29 17:34:31,916 - pyskl - INFO - Epoch [81][1000/1027] lr: 1.094e-02, eta: 9:22:45, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6275, top5_acc: 0.8538, loss_cls: 5.8187, loss: 5.8187 2025-04-29 17:34:45,778 - pyskl - INFO - Saving checkpoint at 81 epochs 2025-04-29 17:35:26,496 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 17:35:26,571 - pyskl - INFO - top1_acc 0.5568 top5_acc 0.8421 2025-04-29 17:35:26,571 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 17:35:26,580 - pyskl - INFO - mean_acc 0.5535 2025-04-29 17:35:26,582 - pyskl - INFO - Epoch(val) [81][413] top1_acc: 0.5568, top5_acc: 0.8421, mean_class_accuracy: 0.5535 2025-04-29 17:36:31,154 - pyskl - INFO - Epoch [82][100/1027] lr: 1.091e-02, eta: 9:21:48, time: 0.646, data_time: 0.262, memory: 7959, top1_acc: 0.6587, top5_acc: 0.8831, loss_cls: 5.4896, loss: 5.4896 2025-04-29 17:37:15,024 - pyskl - INFO - Epoch [82][200/1027] lr: 1.088e-02, eta: 9:20:57, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8894, loss_cls: 5.3963, loss: 5.3963 2025-04-29 17:38:02,033 - pyskl - INFO - Epoch [82][300/1027] lr: 1.086e-02, eta: 9:20:09, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6606, top5_acc: 0.8850, loss_cls: 5.5932, loss: 5.5932 2025-04-29 17:38:49,068 - pyskl - INFO - Epoch [82][400/1027] lr: 1.083e-02, eta: 9:19:21, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6288, top5_acc: 0.8619, loss_cls: 5.7018, loss: 5.7018 2025-04-29 17:39:36,123 - pyskl - INFO - Epoch [82][500/1027] lr: 1.081e-02, eta: 9:18:33, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6344, top5_acc: 0.8700, loss_cls: 5.5570, loss: 5.5570 2025-04-29 17:40:23,821 - pyskl - INFO - Epoch [82][600/1027] lr: 1.078e-02, eta: 9:17:45, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6400, top5_acc: 0.8762, loss_cls: 5.7171, loss: 5.7171 2025-04-29 17:41:10,091 - pyskl - INFO - Epoch [82][700/1027] lr: 1.076e-02, eta: 9:16:57, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.6319, top5_acc: 0.8531, loss_cls: 5.7136, loss: 5.7136 2025-04-29 17:41:57,332 - pyskl - INFO - Epoch [82][800/1027] lr: 1.073e-02, eta: 9:16:09, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6212, top5_acc: 0.8538, loss_cls: 5.7871, loss: 5.7871 2025-04-29 17:42:44,669 - pyskl - INFO - Epoch [82][900/1027] lr: 1.071e-02, eta: 9:15:21, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6194, top5_acc: 0.8519, loss_cls: 5.8229, loss: 5.8229 2025-04-29 17:43:32,213 - pyskl - INFO - Epoch [82][1000/1027] lr: 1.068e-02, eta: 9:14:33, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.6319, top5_acc: 0.8650, loss_cls: 5.7293, loss: 5.7293 2025-04-29 17:43:45,406 - pyskl - INFO - Saving checkpoint at 82 epochs 2025-04-29 17:44:25,691 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 17:44:25,764 - pyskl - INFO - top1_acc 0.5614 top5_acc 0.8526 2025-04-29 17:44:25,765 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 17:44:25,773 - pyskl - INFO - mean_acc 0.5585 2025-04-29 17:44:25,835 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_80.pth was removed 2025-04-29 17:44:27,530 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_82.pth. 2025-04-29 17:44:27,531 - pyskl - INFO - Best top1_acc is 0.5614 at 82 epoch. 2025-04-29 17:44:27,536 - pyskl - INFO - Epoch(val) [82][413] top1_acc: 0.5614, top5_acc: 0.8526, mean_class_accuracy: 0.5585 2025-04-29 17:45:32,533 - pyskl - INFO - Epoch [83][100/1027] lr: 1.065e-02, eta: 9:13:36, time: 0.650, data_time: 0.265, memory: 7959, top1_acc: 0.6713, top5_acc: 0.8856, loss_cls: 5.4408, loss: 5.4408 2025-04-29 17:46:17,754 - pyskl - INFO - Epoch [83][200/1027] lr: 1.062e-02, eta: 9:12:47, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.6512, top5_acc: 0.8775, loss_cls: 5.5540, loss: 5.5540 2025-04-29 17:47:07,131 - pyskl - INFO - Epoch [83][300/1027] lr: 1.060e-02, eta: 9:12:00, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.6512, top5_acc: 0.8725, loss_cls: 5.5640, loss: 5.5640 2025-04-29 17:47:57,299 - pyskl - INFO - Epoch [83][400/1027] lr: 1.057e-02, eta: 9:11:15, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.6444, top5_acc: 0.8738, loss_cls: 5.6137, loss: 5.6137 2025-04-29 17:48:47,689 - pyskl - INFO - Epoch [83][500/1027] lr: 1.055e-02, eta: 9:10:30, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8681, loss_cls: 5.6798, loss: 5.6798 2025-04-29 17:49:38,732 - pyskl - INFO - Epoch [83][600/1027] lr: 1.052e-02, eta: 9:09:45, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.6425, top5_acc: 0.8762, loss_cls: 5.5999, loss: 5.5999 2025-04-29 17:50:28,943 - pyskl - INFO - Epoch [83][700/1027] lr: 1.050e-02, eta: 9:08:59, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.6362, top5_acc: 0.8750, loss_cls: 5.6945, loss: 5.6945 2025-04-29 17:51:18,270 - pyskl - INFO - Epoch [83][800/1027] lr: 1.047e-02, eta: 9:08:13, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.6350, top5_acc: 0.8719, loss_cls: 5.6516, loss: 5.6516 2025-04-29 17:52:07,642 - pyskl - INFO - Epoch [83][900/1027] lr: 1.045e-02, eta: 9:07:27, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.6244, top5_acc: 0.8762, loss_cls: 5.7666, loss: 5.7666 2025-04-29 17:52:56,239 - pyskl - INFO - Epoch [83][1000/1027] lr: 1.042e-02, eta: 9:06:40, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.6481, top5_acc: 0.8725, loss_cls: 5.5697, loss: 5.5697 2025-04-29 17:53:10,876 - pyskl - INFO - Saving checkpoint at 83 epochs 2025-04-29 17:53:52,055 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 17:53:52,127 - pyskl - INFO - top1_acc 0.5351 top5_acc 0.8028 2025-04-29 17:53:52,128 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 17:53:52,136 - pyskl - INFO - mean_acc 0.5281 2025-04-29 17:53:52,139 - pyskl - INFO - Epoch(val) [83][413] top1_acc: 0.5351, top5_acc: 0.8028, mean_class_accuracy: 0.5281 2025-04-29 17:54:57,398 - pyskl - INFO - Epoch [84][100/1027] lr: 1.039e-02, eta: 9:05:43, time: 0.653, data_time: 0.257, memory: 7959, top1_acc: 0.6831, top5_acc: 0.8888, loss_cls: 5.4182, loss: 5.4182 2025-04-29 17:55:43,441 - pyskl - INFO - Epoch [84][200/1027] lr: 1.037e-02, eta: 9:04:54, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8869, loss_cls: 5.4503, loss: 5.4503 2025-04-29 17:56:31,557 - pyskl - INFO - Epoch [84][300/1027] lr: 1.034e-02, eta: 9:04:07, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.6600, top5_acc: 0.8862, loss_cls: 5.4614, loss: 5.4614 2025-04-29 17:57:19,946 - pyskl - INFO - Epoch [84][400/1027] lr: 1.032e-02, eta: 9:03:20, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.6600, top5_acc: 0.8756, loss_cls: 5.5777, loss: 5.5777 2025-04-29 17:58:08,148 - pyskl - INFO - Epoch [84][500/1027] lr: 1.029e-02, eta: 9:02:33, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6469, top5_acc: 0.8512, loss_cls: 5.6275, loss: 5.6275 2025-04-29 17:58:56,482 - pyskl - INFO - Epoch [84][600/1027] lr: 1.026e-02, eta: 9:01:45, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.6525, top5_acc: 0.8806, loss_cls: 5.6871, loss: 5.6871 2025-04-29 17:59:44,348 - pyskl - INFO - Epoch [84][700/1027] lr: 1.024e-02, eta: 9:00:58, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6369, top5_acc: 0.8738, loss_cls: 5.6511, loss: 5.6511 2025-04-29 18:00:31,612 - pyskl - INFO - Epoch [84][800/1027] lr: 1.021e-02, eta: 9:00:10, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6412, top5_acc: 0.8631, loss_cls: 5.7343, loss: 5.7343 2025-04-29 18:01:18,673 - pyskl - INFO - Epoch [84][900/1027] lr: 1.019e-02, eta: 8:59:22, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6419, top5_acc: 0.8612, loss_cls: 5.5843, loss: 5.5843 2025-04-29 18:02:05,724 - pyskl - INFO - Epoch [84][1000/1027] lr: 1.016e-02, eta: 8:58:34, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6306, top5_acc: 0.8706, loss_cls: 5.7243, loss: 5.7243 2025-04-29 18:02:19,440 - pyskl - INFO - Saving checkpoint at 84 epochs 2025-04-29 18:02:59,892 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 18:02:59,969 - pyskl - INFO - top1_acc 0.5607 top5_acc 0.8404 2025-04-29 18:02:59,969 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 18:02:59,978 - pyskl - INFO - mean_acc 0.5581 2025-04-29 18:02:59,980 - pyskl - INFO - Epoch(val) [84][413] top1_acc: 0.5607, top5_acc: 0.8404, mean_class_accuracy: 0.5581 2025-04-29 18:04:05,852 - pyskl - INFO - Epoch [85][100/1027] lr: 1.013e-02, eta: 8:57:37, time: 0.659, data_time: 0.272, memory: 7959, top1_acc: 0.6713, top5_acc: 0.8919, loss_cls: 5.4529, loss: 5.4529 2025-04-29 18:04:49,993 - pyskl - INFO - Epoch [85][200/1027] lr: 1.011e-02, eta: 8:56:47, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.6675, top5_acc: 0.8875, loss_cls: 5.4008, loss: 5.4008 2025-04-29 18:05:36,780 - pyskl - INFO - Epoch [85][300/1027] lr: 1.008e-02, eta: 8:55:59, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.6656, top5_acc: 0.8725, loss_cls: 5.4817, loss: 5.4817 2025-04-29 18:06:24,104 - pyskl - INFO - Epoch [85][400/1027] lr: 1.006e-02, eta: 8:55:11, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6694, top5_acc: 0.8775, loss_cls: 5.3841, loss: 5.3841 2025-04-29 18:07:11,427 - pyskl - INFO - Epoch [85][500/1027] lr: 1.003e-02, eta: 8:54:23, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6587, top5_acc: 0.8912, loss_cls: 5.4493, loss: 5.4493 2025-04-29 18:07:59,404 - pyskl - INFO - Epoch [85][600/1027] lr: 1.001e-02, eta: 8:53:35, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.6544, top5_acc: 0.8738, loss_cls: 5.5318, loss: 5.5318 2025-04-29 18:08:47,656 - pyskl - INFO - Epoch [85][700/1027] lr: 9.983e-03, eta: 8:52:48, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8650, loss_cls: 5.6775, loss: 5.6775 2025-04-29 18:09:35,304 - pyskl - INFO - Epoch [85][800/1027] lr: 9.958e-03, eta: 8:52:01, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.6488, top5_acc: 0.8738, loss_cls: 5.6793, loss: 5.6793 2025-04-29 18:10:22,284 - pyskl - INFO - Epoch [85][900/1027] lr: 9.933e-03, eta: 8:51:12, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6388, top5_acc: 0.8612, loss_cls: 5.6053, loss: 5.6053 2025-04-29 18:11:09,990 - pyskl - INFO - Epoch [85][1000/1027] lr: 9.908e-03, eta: 8:50:25, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6162, top5_acc: 0.8681, loss_cls: 5.6383, loss: 5.6383 2025-04-29 18:11:23,333 - pyskl - INFO - Saving checkpoint at 85 epochs 2025-04-29 18:12:03,430 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 18:12:03,502 - pyskl - INFO - top1_acc 0.5549 top5_acc 0.8407 2025-04-29 18:12:03,502 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 18:12:03,511 - pyskl - INFO - mean_acc 0.5526 2025-04-29 18:12:03,514 - pyskl - INFO - Epoch(val) [85][413] top1_acc: 0.5549, top5_acc: 0.8407, mean_class_accuracy: 0.5526 2025-04-29 18:13:09,438 - pyskl - INFO - Epoch [86][100/1027] lr: 9.876e-03, eta: 8:49:28, time: 0.659, data_time: 0.272, memory: 7959, top1_acc: 0.6794, top5_acc: 0.9062, loss_cls: 5.2642, loss: 5.2642 2025-04-29 18:13:53,252 - pyskl - INFO - Epoch [86][200/1027] lr: 9.852e-03, eta: 8:48:38, time: 0.438, data_time: 0.000, memory: 7959, top1_acc: 0.6844, top5_acc: 0.8969, loss_cls: 5.4019, loss: 5.4019 2025-04-29 18:14:39,038 - pyskl - INFO - Epoch [86][300/1027] lr: 9.827e-03, eta: 8:47:49, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.6825, top5_acc: 0.8812, loss_cls: 5.3467, loss: 5.3467 2025-04-29 18:15:25,282 - pyskl - INFO - Epoch [86][400/1027] lr: 9.802e-03, eta: 8:47:00, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.6456, top5_acc: 0.8825, loss_cls: 5.5733, loss: 5.5733 2025-04-29 18:16:12,097 - pyskl - INFO - Epoch [86][500/1027] lr: 9.777e-03, eta: 8:46:12, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.6756, top5_acc: 0.8944, loss_cls: 5.4041, loss: 5.4041 2025-04-29 18:16:59,145 - pyskl - INFO - Epoch [86][600/1027] lr: 9.752e-03, eta: 8:45:24, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6781, top5_acc: 0.8919, loss_cls: 5.4391, loss: 5.4391 2025-04-29 18:17:46,044 - pyskl - INFO - Epoch [86][700/1027] lr: 9.727e-03, eta: 8:44:35, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.6656, top5_acc: 0.8812, loss_cls: 5.4839, loss: 5.4839 2025-04-29 18:18:33,428 - pyskl - INFO - Epoch [86][800/1027] lr: 9.702e-03, eta: 8:43:47, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.6444, top5_acc: 0.8644, loss_cls: 5.6183, loss: 5.6183 2025-04-29 18:19:21,041 - pyskl - INFO - Epoch [86][900/1027] lr: 9.677e-03, eta: 8:43:00, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.6375, top5_acc: 0.8731, loss_cls: 5.5887, loss: 5.5887 2025-04-29 18:20:08,225 - pyskl - INFO - Epoch [86][1000/1027] lr: 9.653e-03, eta: 8:42:12, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6425, top5_acc: 0.8725, loss_cls: 5.5842, loss: 5.5842 2025-04-29 18:20:21,832 - pyskl - INFO - Saving checkpoint at 86 epochs 2025-04-29 18:21:02,772 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 18:21:02,850 - pyskl - INFO - top1_acc 0.5548 top5_acc 0.8374 2025-04-29 18:21:02,850 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 18:21:02,859 - pyskl - INFO - mean_acc 0.5579 2025-04-29 18:21:02,862 - pyskl - INFO - Epoch(val) [86][413] top1_acc: 0.5548, top5_acc: 0.8374, mean_class_accuracy: 0.5579 2025-04-29 18:22:08,120 - pyskl - INFO - Epoch [87][100/1027] lr: 9.621e-03, eta: 8:41:15, time: 0.653, data_time: 0.262, memory: 7959, top1_acc: 0.7025, top5_acc: 0.8988, loss_cls: 5.3627, loss: 5.3627 2025-04-29 18:22:51,797 - pyskl - INFO - Epoch [87][200/1027] lr: 9.596e-03, eta: 8:40:24, time: 0.437, data_time: 0.000, memory: 7959, top1_acc: 0.7019, top5_acc: 0.8988, loss_cls: 5.2102, loss: 5.2102 2025-04-29 18:23:39,070 - pyskl - INFO - Epoch [87][300/1027] lr: 9.571e-03, eta: 8:39:36, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6787, top5_acc: 0.8894, loss_cls: 5.4590, loss: 5.4590 2025-04-29 18:24:26,817 - pyskl - INFO - Epoch [87][400/1027] lr: 9.547e-03, eta: 8:38:49, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6906, top5_acc: 0.8844, loss_cls: 5.4032, loss: 5.4032 2025-04-29 18:25:14,091 - pyskl - INFO - Epoch [87][500/1027] lr: 9.522e-03, eta: 8:38:01, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6906, top5_acc: 0.9031, loss_cls: 5.3306, loss: 5.3306 2025-04-29 18:26:01,912 - pyskl - INFO - Epoch [87][600/1027] lr: 9.497e-03, eta: 8:37:13, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.6819, top5_acc: 0.8875, loss_cls: 5.3790, loss: 5.3790 2025-04-29 18:26:49,121 - pyskl - INFO - Epoch [87][700/1027] lr: 9.472e-03, eta: 8:36:25, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6587, top5_acc: 0.8788, loss_cls: 5.5540, loss: 5.5540 2025-04-29 18:27:36,217 - pyskl - INFO - Epoch [87][800/1027] lr: 9.448e-03, eta: 8:35:37, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6462, top5_acc: 0.8850, loss_cls: 5.6260, loss: 5.6260 2025-04-29 18:28:23,591 - pyskl - INFO - Epoch [87][900/1027] lr: 9.423e-03, eta: 8:34:49, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.6737, top5_acc: 0.8906, loss_cls: 5.4090, loss: 5.4090 2025-04-29 18:29:10,932 - pyskl - INFO - Epoch [87][1000/1027] lr: 9.398e-03, eta: 8:34:01, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6469, top5_acc: 0.8712, loss_cls: 5.5826, loss: 5.5826 2025-04-29 18:29:24,824 - pyskl - INFO - Saving checkpoint at 87 epochs 2025-04-29 18:30:05,459 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 18:30:05,532 - pyskl - INFO - top1_acc 0.5663 top5_acc 0.8415 2025-04-29 18:30:05,532 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 18:30:05,541 - pyskl - INFO - mean_acc 0.5692 2025-04-29 18:30:05,597 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_82.pth was removed 2025-04-29 18:30:07,238 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. 2025-04-29 18:30:07,240 - pyskl - INFO - Best top1_acc is 0.5663 at 87 epoch. 2025-04-29 18:30:07,242 - pyskl - INFO - Epoch(val) [87][413] top1_acc: 0.5663, top5_acc: 0.8415, mean_class_accuracy: 0.5692 2025-04-29 18:31:12,138 - pyskl - INFO - Epoch [88][100/1027] lr: 9.367e-03, eta: 8:33:04, time: 0.649, data_time: 0.261, memory: 7959, top1_acc: 0.7056, top5_acc: 0.9056, loss_cls: 5.1619, loss: 5.1619 2025-04-29 18:31:56,522 - pyskl - INFO - Epoch [88][200/1027] lr: 9.342e-03, eta: 8:32:14, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.6881, top5_acc: 0.8856, loss_cls: 5.4319, loss: 5.4319 2025-04-29 18:32:42,839 - pyskl - INFO - Epoch [88][300/1027] lr: 9.318e-03, eta: 8:31:25, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.6913, top5_acc: 0.9050, loss_cls: 5.2424, loss: 5.2424 2025-04-29 18:33:29,877 - pyskl - INFO - Epoch [88][400/1027] lr: 9.293e-03, eta: 8:30:37, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6763, top5_acc: 0.8894, loss_cls: 5.3742, loss: 5.3742 2025-04-29 18:34:16,935 - pyskl - INFO - Epoch [88][500/1027] lr: 9.268e-03, eta: 8:29:49, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6706, top5_acc: 0.8881, loss_cls: 5.4387, loss: 5.4387 2025-04-29 18:35:03,923 - pyskl - INFO - Epoch [88][600/1027] lr: 9.244e-03, eta: 8:29:01, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6863, top5_acc: 0.9056, loss_cls: 5.2762, loss: 5.2762 2025-04-29 18:35:50,896 - pyskl - INFO - Epoch [88][700/1027] lr: 9.219e-03, eta: 8:28:13, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6731, top5_acc: 0.8862, loss_cls: 5.4849, loss: 5.4849 2025-04-29 18:36:38,398 - pyskl - INFO - Epoch [88][800/1027] lr: 9.195e-03, eta: 8:27:25, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.6831, top5_acc: 0.8888, loss_cls: 5.4024, loss: 5.4024 2025-04-29 18:37:25,721 - pyskl - INFO - Epoch [88][900/1027] lr: 9.170e-03, eta: 8:26:37, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8875, loss_cls: 5.3893, loss: 5.3893 2025-04-29 18:38:13,798 - pyskl - INFO - Epoch [88][1000/1027] lr: 9.145e-03, eta: 8:25:50, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.6675, top5_acc: 0.8788, loss_cls: 5.5003, loss: 5.5003 2025-04-29 18:38:27,399 - pyskl - INFO - Saving checkpoint at 88 epochs 2025-04-29 18:39:07,990 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 18:39:08,075 - pyskl - INFO - top1_acc 0.5760 top5_acc 0.8482 2025-04-29 18:39:08,075 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 18:39:08,083 - pyskl - INFO - mean_acc 0.5793 2025-04-29 18:39:08,147 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_87.pth was removed 2025-04-29 18:39:10,092 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_88.pth. 2025-04-29 18:39:10,094 - pyskl - INFO - Best top1_acc is 0.5760 at 88 epoch. 2025-04-29 18:39:10,098 - pyskl - INFO - Epoch(val) [88][413] top1_acc: 0.5760, top5_acc: 0.8482, mean_class_accuracy: 0.5793 2025-04-29 18:40:15,232 - pyskl - INFO - Epoch [89][100/1027] lr: 9.114e-03, eta: 8:24:53, time: 0.651, data_time: 0.266, memory: 7959, top1_acc: 0.7044, top5_acc: 0.9169, loss_cls: 5.0571, loss: 5.0571 2025-04-29 18:40:59,870 - pyskl - INFO - Epoch [89][200/1027] lr: 9.090e-03, eta: 8:24:03, time: 0.446, data_time: 0.000, memory: 7959, top1_acc: 0.6925, top5_acc: 0.9006, loss_cls: 5.2979, loss: 5.2979 2025-04-29 18:41:45,823 - pyskl - INFO - Epoch [89][300/1027] lr: 9.065e-03, eta: 8:23:14, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.7075, top5_acc: 0.9094, loss_cls: 5.1563, loss: 5.1563 2025-04-29 18:42:32,831 - pyskl - INFO - Epoch [89][400/1027] lr: 9.041e-03, eta: 8:22:26, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9038, loss_cls: 5.2427, loss: 5.2427 2025-04-29 18:43:19,500 - pyskl - INFO - Epoch [89][500/1027] lr: 9.016e-03, eta: 8:21:38, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.6744, top5_acc: 0.8900, loss_cls: 5.4789, loss: 5.4789 2025-04-29 18:44:07,049 - pyskl - INFO - Epoch [89][600/1027] lr: 8.992e-03, eta: 8:20:50, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.6756, top5_acc: 0.8862, loss_cls: 5.4704, loss: 5.4704 2025-04-29 18:44:55,306 - pyskl - INFO - Epoch [89][700/1027] lr: 8.967e-03, eta: 8:20:03, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.6825, top5_acc: 0.9006, loss_cls: 5.3976, loss: 5.3976 2025-04-29 18:45:44,940 - pyskl - INFO - Epoch [89][800/1027] lr: 8.943e-03, eta: 8:19:17, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.6488, top5_acc: 0.8794, loss_cls: 5.6058, loss: 5.6058 2025-04-29 18:46:34,671 - pyskl - INFO - Epoch [89][900/1027] lr: 8.918e-03, eta: 8:18:30, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.6644, top5_acc: 0.8850, loss_cls: 5.4964, loss: 5.4964 2025-04-29 18:47:25,162 - pyskl - INFO - Epoch [89][1000/1027] lr: 8.894e-03, eta: 8:17:45, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.6519, top5_acc: 0.8838, loss_cls: 5.4577, loss: 5.4577 2025-04-29 18:47:40,069 - pyskl - INFO - Saving checkpoint at 89 epochs 2025-04-29 18:48:21,676 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 18:48:21,749 - pyskl - INFO - top1_acc 0.5871 top5_acc 0.8526 2025-04-29 18:48:21,749 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 18:48:21,757 - pyskl - INFO - mean_acc 0.5869 2025-04-29 18:48:21,824 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_88.pth was removed 2025-04-29 18:48:23,460 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. 2025-04-29 18:48:23,462 - pyskl - INFO - Best top1_acc is 0.5871 at 89 epoch. 2025-04-29 18:48:23,466 - pyskl - INFO - Epoch(val) [89][413] top1_acc: 0.5871, top5_acc: 0.8526, mean_class_accuracy: 0.5869 2025-04-29 18:49:29,256 - pyskl - INFO - Epoch [90][100/1027] lr: 8.863e-03, eta: 8:16:48, time: 0.658, data_time: 0.260, memory: 7959, top1_acc: 0.7219, top5_acc: 0.9131, loss_cls: 5.0766, loss: 5.0766 2025-04-29 18:50:14,883 - pyskl - INFO - Epoch [90][200/1027] lr: 8.839e-03, eta: 8:15:59, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.7206, top5_acc: 0.9081, loss_cls: 5.2707, loss: 5.2707 2025-04-29 18:51:02,456 - pyskl - INFO - Epoch [90][300/1027] lr: 8.814e-03, eta: 8:15:11, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.7075, top5_acc: 0.9131, loss_cls: 5.1380, loss: 5.1380 2025-04-29 18:51:51,028 - pyskl - INFO - Epoch [90][400/1027] lr: 8.790e-03, eta: 8:14:24, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.7025, top5_acc: 0.9081, loss_cls: 5.3308, loss: 5.3308 2025-04-29 18:52:41,390 - pyskl - INFO - Epoch [90][500/1027] lr: 8.766e-03, eta: 8:13:38, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.6906, top5_acc: 0.8988, loss_cls: 5.3574, loss: 5.3574 2025-04-29 18:53:31,620 - pyskl - INFO - Epoch [90][600/1027] lr: 8.741e-03, eta: 8:12:52, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.6831, top5_acc: 0.8944, loss_cls: 5.2763, loss: 5.2763 2025-04-29 18:54:21,450 - pyskl - INFO - Epoch [90][700/1027] lr: 8.717e-03, eta: 8:12:06, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.6913, top5_acc: 0.8925, loss_cls: 5.3088, loss: 5.3088 2025-04-29 18:55:11,462 - pyskl - INFO - Epoch [90][800/1027] lr: 8.693e-03, eta: 8:11:20, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.6850, top5_acc: 0.8988, loss_cls: 5.3492, loss: 5.3492 2025-04-29 18:56:01,483 - pyskl - INFO - Epoch [90][900/1027] lr: 8.668e-03, eta: 8:10:34, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8894, loss_cls: 5.4847, loss: 5.4847 2025-04-29 18:56:50,323 - pyskl - INFO - Epoch [90][1000/1027] lr: 8.644e-03, eta: 8:09:47, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.6806, top5_acc: 0.8838, loss_cls: 5.3897, loss: 5.3897 2025-04-29 18:57:04,321 - pyskl - INFO - Saving checkpoint at 90 epochs 2025-04-29 18:57:45,338 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 18:57:45,412 - pyskl - INFO - top1_acc 0.5610 top5_acc 0.8351 2025-04-29 18:57:45,413 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 18:57:45,421 - pyskl - INFO - mean_acc 0.5655 2025-04-29 18:57:45,422 - pyskl - INFO - Epoch(val) [90][413] top1_acc: 0.5610, top5_acc: 0.8351, mean_class_accuracy: 0.5655 2025-04-29 18:58:50,502 - pyskl - INFO - Epoch [91][100/1027] lr: 8.613e-03, eta: 8:08:49, time: 0.651, data_time: 0.265, memory: 7959, top1_acc: 0.7356, top5_acc: 0.9219, loss_cls: 5.0066, loss: 5.0066 2025-04-29 18:59:34,571 - pyskl - INFO - Epoch [91][200/1027] lr: 8.589e-03, eta: 8:07:59, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.7131, top5_acc: 0.9081, loss_cls: 5.1998, loss: 5.1998 2025-04-29 19:00:20,063 - pyskl - INFO - Epoch [91][300/1027] lr: 8.565e-03, eta: 8:07:10, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.7238, top5_acc: 0.9263, loss_cls: 5.1643, loss: 5.1643 2025-04-29 19:01:07,673 - pyskl - INFO - Epoch [91][400/1027] lr: 8.541e-03, eta: 8:06:23, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.7013, top5_acc: 0.9119, loss_cls: 5.3081, loss: 5.3081 2025-04-29 19:01:55,340 - pyskl - INFO - Epoch [91][500/1027] lr: 8.517e-03, eta: 8:05:35, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6881, top5_acc: 0.8981, loss_cls: 5.3568, loss: 5.3568 2025-04-29 19:02:42,169 - pyskl - INFO - Epoch [91][600/1027] lr: 8.492e-03, eta: 8:04:47, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.6906, top5_acc: 0.8881, loss_cls: 5.2786, loss: 5.2786 2025-04-29 19:03:30,110 - pyskl - INFO - Epoch [91][700/1027] lr: 8.468e-03, eta: 8:03:59, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6963, top5_acc: 0.9062, loss_cls: 5.2335, loss: 5.2335 2025-04-29 19:04:16,597 - pyskl - INFO - Epoch [91][800/1027] lr: 8.444e-03, eta: 8:03:11, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.6594, top5_acc: 0.8919, loss_cls: 5.4644, loss: 5.4644 2025-04-29 19:05:03,675 - pyskl - INFO - Epoch [91][900/1027] lr: 8.420e-03, eta: 8:02:23, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6831, top5_acc: 0.8819, loss_cls: 5.4788, loss: 5.4788 2025-04-29 19:05:50,511 - pyskl - INFO - Epoch [91][1000/1027] lr: 8.396e-03, eta: 8:01:35, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.6850, top5_acc: 0.8925, loss_cls: 5.4728, loss: 5.4728 2025-04-29 19:06:04,089 - pyskl - INFO - Saving checkpoint at 91 epochs 2025-04-29 19:06:44,239 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 19:06:44,313 - pyskl - INFO - top1_acc 0.5760 top5_acc 0.8454 2025-04-29 19:06:44,313 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 19:06:44,322 - pyskl - INFO - mean_acc 0.5764 2025-04-29 19:06:44,324 - pyskl - INFO - Epoch(val) [91][413] top1_acc: 0.5760, top5_acc: 0.8454, mean_class_accuracy: 0.5764 2025-04-29 19:07:49,418 - pyskl - INFO - Epoch [92][100/1027] lr: 8.365e-03, eta: 8:00:37, time: 0.651, data_time: 0.266, memory: 7959, top1_acc: 0.7394, top5_acc: 0.9175, loss_cls: 5.0027, loss: 5.0027 2025-04-29 19:08:32,765 - pyskl - INFO - Epoch [92][200/1027] lr: 8.341e-03, eta: 7:59:46, time: 0.433, data_time: 0.000, memory: 7959, top1_acc: 0.7356, top5_acc: 0.9163, loss_cls: 5.0808, loss: 5.0808 2025-04-29 19:09:19,093 - pyskl - INFO - Epoch [92][300/1027] lr: 8.317e-03, eta: 7:58:58, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.6944, top5_acc: 0.8900, loss_cls: 5.1725, loss: 5.1725 2025-04-29 19:10:06,175 - pyskl - INFO - Epoch [92][400/1027] lr: 8.293e-03, eta: 7:58:10, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.7037, top5_acc: 0.9094, loss_cls: 5.1965, loss: 5.1965 2025-04-29 19:10:52,909 - pyskl - INFO - Epoch [92][500/1027] lr: 8.269e-03, eta: 7:57:22, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.7075, top5_acc: 0.9075, loss_cls: 5.2653, loss: 5.2653 2025-04-29 19:11:39,388 - pyskl - INFO - Epoch [92][600/1027] lr: 8.245e-03, eta: 7:56:33, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.6881, top5_acc: 0.9056, loss_cls: 5.2902, loss: 5.2902 2025-04-29 19:12:26,372 - pyskl - INFO - Epoch [92][700/1027] lr: 8.221e-03, eta: 7:55:45, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6969, top5_acc: 0.9000, loss_cls: 5.2853, loss: 5.2853 2025-04-29 19:13:13,540 - pyskl - INFO - Epoch [92][800/1027] lr: 8.197e-03, eta: 7:54:57, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6756, top5_acc: 0.8962, loss_cls: 5.3999, loss: 5.3999 2025-04-29 19:14:00,794 - pyskl - INFO - Epoch [92][900/1027] lr: 8.173e-03, eta: 7:54:09, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.7006, top5_acc: 0.9113, loss_cls: 5.1457, loss: 5.1457 2025-04-29 19:14:48,084 - pyskl - INFO - Epoch [92][1000/1027] lr: 8.150e-03, eta: 7:53:21, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6787, top5_acc: 0.9025, loss_cls: 5.2279, loss: 5.2279 2025-04-29 19:15:01,490 - pyskl - INFO - Saving checkpoint at 92 epochs 2025-04-29 19:15:41,517 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 19:15:41,591 - pyskl - INFO - top1_acc 0.5621 top5_acc 0.8391 2025-04-29 19:15:41,591 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 19:15:41,600 - pyskl - INFO - mean_acc 0.5616 2025-04-29 19:15:41,602 - pyskl - INFO - Epoch(val) [92][413] top1_acc: 0.5621, top5_acc: 0.8391, mean_class_accuracy: 0.5616 2025-04-29 19:16:46,778 - pyskl - INFO - Epoch [93][100/1027] lr: 8.119e-03, eta: 7:52:24, time: 0.652, data_time: 0.266, memory: 7959, top1_acc: 0.7269, top5_acc: 0.9237, loss_cls: 4.9630, loss: 4.9630 2025-04-29 19:17:30,711 - pyskl - INFO - Epoch [93][200/1027] lr: 8.095e-03, eta: 7:51:34, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.7338, top5_acc: 0.9119, loss_cls: 5.1824, loss: 5.1824 2025-04-29 19:18:16,843 - pyskl - INFO - Epoch [93][300/1027] lr: 8.071e-03, eta: 7:50:45, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.7231, top5_acc: 0.9150, loss_cls: 5.0591, loss: 5.0591 2025-04-29 19:19:04,059 - pyskl - INFO - Epoch [93][400/1027] lr: 8.048e-03, eta: 7:49:57, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.7044, top5_acc: 0.9075, loss_cls: 5.2170, loss: 5.2170 2025-04-29 19:19:51,502 - pyskl - INFO - Epoch [93][500/1027] lr: 8.024e-03, eta: 7:49:09, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.7106, top5_acc: 0.9100, loss_cls: 5.2089, loss: 5.2089 2025-04-29 19:20:38,594 - pyskl - INFO - Epoch [93][600/1027] lr: 8.000e-03, eta: 7:48:21, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.7219, top5_acc: 0.9025, loss_cls: 5.1947, loss: 5.1947 2025-04-29 19:21:26,529 - pyskl - INFO - Epoch [93][700/1027] lr: 7.976e-03, eta: 7:47:34, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6963, top5_acc: 0.8975, loss_cls: 5.1996, loss: 5.1996 2025-04-29 19:22:13,849 - pyskl - INFO - Epoch [93][800/1027] lr: 7.953e-03, eta: 7:46:46, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6956, top5_acc: 0.8894, loss_cls: 5.2983, loss: 5.2983 2025-04-29 19:23:01,146 - pyskl - INFO - Epoch [93][900/1027] lr: 7.929e-03, eta: 7:45:58, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6850, top5_acc: 0.8931, loss_cls: 5.2363, loss: 5.2363 2025-04-29 19:23:48,608 - pyskl - INFO - Epoch [93][1000/1027] lr: 7.905e-03, eta: 7:45:10, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.7156, top5_acc: 0.9194, loss_cls: 5.1284, loss: 5.1284 2025-04-29 19:24:02,376 - pyskl - INFO - Saving checkpoint at 93 epochs 2025-04-29 19:24:42,406 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 19:24:42,478 - pyskl - INFO - top1_acc 0.5815 top5_acc 0.8491 2025-04-29 19:24:42,479 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 19:24:42,488 - pyskl - INFO - mean_acc 0.5819 2025-04-29 19:24:42,490 - pyskl - INFO - Epoch(val) [93][413] top1_acc: 0.5815, top5_acc: 0.8491, mean_class_accuracy: 0.5819 2025-04-29 19:25:47,334 - pyskl - INFO - Epoch [94][100/1027] lr: 7.875e-03, eta: 7:44:12, time: 0.648, data_time: 0.265, memory: 7959, top1_acc: 0.7362, top5_acc: 0.9225, loss_cls: 5.0248, loss: 5.0248 2025-04-29 19:26:31,723 - pyskl - INFO - Epoch [94][200/1027] lr: 7.851e-03, eta: 7:43:23, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.7319, top5_acc: 0.9169, loss_cls: 5.0765, loss: 5.0765 2025-04-29 19:27:17,812 - pyskl - INFO - Epoch [94][300/1027] lr: 7.828e-03, eta: 7:42:34, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.7238, top5_acc: 0.9094, loss_cls: 5.1218, loss: 5.1218 2025-04-29 19:28:05,145 - pyskl - INFO - Epoch [94][400/1027] lr: 7.804e-03, eta: 7:41:46, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.7375, top5_acc: 0.9225, loss_cls: 5.0361, loss: 5.0361 2025-04-29 19:28:52,278 - pyskl - INFO - Epoch [94][500/1027] lr: 7.780e-03, eta: 7:40:58, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.7369, top5_acc: 0.9137, loss_cls: 5.0091, loss: 5.0091 2025-04-29 19:29:40,079 - pyskl - INFO - Epoch [94][600/1027] lr: 7.757e-03, eta: 7:40:11, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.7075, top5_acc: 0.9087, loss_cls: 5.1894, loss: 5.1894 2025-04-29 19:30:26,514 - pyskl - INFO - Epoch [94][700/1027] lr: 7.733e-03, eta: 7:39:22, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.7119, top5_acc: 0.9137, loss_cls: 5.0411, loss: 5.0411 2025-04-29 19:31:13,696 - pyskl - INFO - Epoch [94][800/1027] lr: 7.710e-03, eta: 7:38:34, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.7044, top5_acc: 0.9113, loss_cls: 5.0788, loss: 5.0788 2025-04-29 19:32:01,303 - pyskl - INFO - Epoch [94][900/1027] lr: 7.686e-03, eta: 7:37:47, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.7100, top5_acc: 0.9056, loss_cls: 5.0600, loss: 5.0600 2025-04-29 19:32:49,371 - pyskl - INFO - Epoch [94][1000/1027] lr: 7.663e-03, eta: 7:36:59, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.7031, top5_acc: 0.9075, loss_cls: 5.2632, loss: 5.2632 2025-04-29 19:33:03,184 - pyskl - INFO - Saving checkpoint at 94 epochs 2025-04-29 19:33:43,540 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 19:33:43,613 - pyskl - INFO - top1_acc 0.5674 top5_acc 0.8453 2025-04-29 19:33:43,613 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 19:33:43,621 - pyskl - INFO - mean_acc 0.5659 2025-04-29 19:33:43,622 - pyskl - INFO - Epoch(val) [94][413] top1_acc: 0.5674, top5_acc: 0.8453, mean_class_accuracy: 0.5659 2025-04-29 19:34:49,133 - pyskl - INFO - Epoch [95][100/1027] lr: 7.633e-03, eta: 7:36:02, time: 0.655, data_time: 0.272, memory: 7959, top1_acc: 0.7625, top5_acc: 0.9325, loss_cls: 4.9910, loss: 4.9910 2025-04-29 19:35:32,833 - pyskl - INFO - Epoch [95][200/1027] lr: 7.609e-03, eta: 7:35:12, time: 0.437, data_time: 0.000, memory: 7959, top1_acc: 0.7325, top5_acc: 0.9106, loss_cls: 4.9384, loss: 4.9384 2025-04-29 19:36:18,994 - pyskl - INFO - Epoch [95][300/1027] lr: 7.586e-03, eta: 7:34:23, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.7356, top5_acc: 0.9250, loss_cls: 4.9874, loss: 4.9874 2025-04-29 19:37:06,087 - pyskl - INFO - Epoch [95][400/1027] lr: 7.562e-03, eta: 7:33:35, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.7444, top5_acc: 0.9175, loss_cls: 4.9632, loss: 4.9632 2025-04-29 19:37:53,482 - pyskl - INFO - Epoch [95][500/1027] lr: 7.539e-03, eta: 7:32:47, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.7294, top5_acc: 0.9100, loss_cls: 4.9893, loss: 4.9893 2025-04-29 19:38:40,476 - pyskl - INFO - Epoch [95][600/1027] lr: 7.516e-03, eta: 7:31:59, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7219, top5_acc: 0.9213, loss_cls: 5.0347, loss: 5.0347 2025-04-29 19:39:27,718 - pyskl - INFO - Epoch [95][700/1027] lr: 7.492e-03, eta: 7:31:12, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.7256, top5_acc: 0.9219, loss_cls: 5.0285, loss: 5.0285 2025-04-29 19:40:14,687 - pyskl - INFO - Epoch [95][800/1027] lr: 7.469e-03, eta: 7:30:24, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7238, top5_acc: 0.9131, loss_cls: 5.0373, loss: 5.0373 2025-04-29 19:41:01,408 - pyskl - INFO - Epoch [95][900/1027] lr: 7.446e-03, eta: 7:29:35, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.7081, top5_acc: 0.9062, loss_cls: 5.2215, loss: 5.2215 2025-04-29 19:41:48,064 - pyskl - INFO - Epoch [95][1000/1027] lr: 7.422e-03, eta: 7:28:47, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.7013, top5_acc: 0.9056, loss_cls: 5.0810, loss: 5.0810 2025-04-29 19:42:01,594 - pyskl - INFO - Saving checkpoint at 95 epochs 2025-04-29 19:42:42,029 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 19:42:42,107 - pyskl - INFO - top1_acc 0.5822 top5_acc 0.8582 2025-04-29 19:42:42,107 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 19:42:42,117 - pyskl - INFO - mean_acc 0.5810 2025-04-29 19:42:42,120 - pyskl - INFO - Epoch(val) [95][413] top1_acc: 0.5822, top5_acc: 0.8582, mean_class_accuracy: 0.5810 2025-04-29 19:43:47,120 - pyskl - INFO - Epoch [96][100/1027] lr: 7.393e-03, eta: 7:27:49, time: 0.650, data_time: 0.262, memory: 7959, top1_acc: 0.7688, top5_acc: 0.9381, loss_cls: 4.7373, loss: 4.7373 2025-04-29 19:44:33,145 - pyskl - INFO - Epoch [96][200/1027] lr: 7.369e-03, eta: 7:27:01, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.7531, top5_acc: 0.9287, loss_cls: 4.9215, loss: 4.9215 2025-04-29 19:45:22,098 - pyskl - INFO - Epoch [96][300/1027] lr: 7.346e-03, eta: 7:26:14, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.7531, top5_acc: 0.9263, loss_cls: 4.8220, loss: 4.8220 2025-04-29 19:46:10,870 - pyskl - INFO - Epoch [96][400/1027] lr: 7.323e-03, eta: 7:25:27, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.7369, top5_acc: 0.9175, loss_cls: 5.0560, loss: 5.0560 2025-04-29 19:47:01,418 - pyskl - INFO - Epoch [96][500/1027] lr: 7.300e-03, eta: 7:24:41, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.7431, top5_acc: 0.9331, loss_cls: 4.9520, loss: 4.9520 2025-04-29 19:47:50,839 - pyskl - INFO - Epoch [96][600/1027] lr: 7.277e-03, eta: 7:23:54, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.7144, top5_acc: 0.9050, loss_cls: 5.1656, loss: 5.1656 2025-04-29 19:48:40,794 - pyskl - INFO - Epoch [96][700/1027] lr: 7.254e-03, eta: 7:23:08, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.7325, top5_acc: 0.9213, loss_cls: 4.9524, loss: 4.9524 2025-04-29 19:49:29,508 - pyskl - INFO - Epoch [96][800/1027] lr: 7.230e-03, eta: 7:22:21, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.7306, top5_acc: 0.9175, loss_cls: 5.0686, loss: 5.0686 2025-04-29 19:50:18,573 - pyskl - INFO - Epoch [96][900/1027] lr: 7.207e-03, eta: 7:21:34, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.7244, top5_acc: 0.9181, loss_cls: 5.1133, loss: 5.1133 2025-04-29 19:51:07,747 - pyskl - INFO - Epoch [96][1000/1027] lr: 7.184e-03, eta: 7:20:47, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.7344, top5_acc: 0.9187, loss_cls: 4.9969, loss: 4.9969 2025-04-29 19:51:22,107 - pyskl - INFO - Saving checkpoint at 96 epochs 2025-04-29 19:52:03,728 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 19:52:03,800 - pyskl - INFO - top1_acc 0.5589 top5_acc 0.8321 2025-04-29 19:52:03,800 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 19:52:03,807 - pyskl - INFO - mean_acc 0.5581 2025-04-29 19:52:03,809 - pyskl - INFO - Epoch(val) [96][413] top1_acc: 0.5589, top5_acc: 0.8321, mean_class_accuracy: 0.5581 2025-04-29 19:53:10,181 - pyskl - INFO - Epoch [97][100/1027] lr: 7.155e-03, eta: 7:19:50, time: 0.664, data_time: 0.261, memory: 7959, top1_acc: 0.7694, top5_acc: 0.9419, loss_cls: 4.7201, loss: 4.7201 2025-04-29 19:53:56,721 - pyskl - INFO - Epoch [97][200/1027] lr: 7.132e-03, eta: 7:19:01, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.7806, top5_acc: 0.9375, loss_cls: 4.8044, loss: 4.8044 2025-04-29 19:54:44,558 - pyskl - INFO - Epoch [97][300/1027] lr: 7.109e-03, eta: 7:18:14, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.7744, top5_acc: 0.9337, loss_cls: 4.7211, loss: 4.7211 2025-04-29 19:55:33,656 - pyskl - INFO - Epoch [97][400/1027] lr: 7.086e-03, eta: 7:17:27, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.7600, top5_acc: 0.9319, loss_cls: 4.8819, loss: 4.8819 2025-04-29 19:56:22,127 - pyskl - INFO - Epoch [97][500/1027] lr: 7.063e-03, eta: 7:16:40, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9200, loss_cls: 5.1184, loss: 5.1184 2025-04-29 19:57:09,351 - pyskl - INFO - Epoch [97][600/1027] lr: 7.040e-03, eta: 7:15:52, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.7406, top5_acc: 0.9213, loss_cls: 5.0683, loss: 5.0683 2025-04-29 19:57:56,911 - pyskl - INFO - Epoch [97][700/1027] lr: 7.017e-03, eta: 7:15:04, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.7312, top5_acc: 0.9175, loss_cls: 5.0985, loss: 5.0985 2025-04-29 19:58:44,413 - pyskl - INFO - Epoch [97][800/1027] lr: 6.994e-03, eta: 7:14:16, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.7475, top5_acc: 0.9181, loss_cls: 5.0383, loss: 5.0383 2025-04-29 19:59:32,350 - pyskl - INFO - Epoch [97][900/1027] lr: 6.971e-03, eta: 7:13:29, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9106, loss_cls: 5.1889, loss: 5.1889 2025-04-29 20:00:19,333 - pyskl - INFO - Epoch [97][1000/1027] lr: 6.948e-03, eta: 7:12:41, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7156, top5_acc: 0.9106, loss_cls: 5.0717, loss: 5.0717 2025-04-29 20:00:32,842 - pyskl - INFO - Saving checkpoint at 97 epochs 2025-04-29 20:01:13,003 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 20:01:13,076 - pyskl - INFO - top1_acc 0.5686 top5_acc 0.8444 2025-04-29 20:01:13,077 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 20:01:13,085 - pyskl - INFO - mean_acc 0.5676 2025-04-29 20:01:13,087 - pyskl - INFO - Epoch(val) [97][413] top1_acc: 0.5686, top5_acc: 0.8444, mean_class_accuracy: 0.5676 2025-04-29 20:02:19,196 - pyskl - INFO - Epoch [98][100/1027] lr: 6.919e-03, eta: 7:11:43, time: 0.661, data_time: 0.279, memory: 7959, top1_acc: 0.7462, top5_acc: 0.9400, loss_cls: 4.8473, loss: 4.8473 2025-04-29 20:03:02,232 - pyskl - INFO - Epoch [98][200/1027] lr: 6.897e-03, eta: 7:10:53, time: 0.430, data_time: 0.000, memory: 7959, top1_acc: 0.7812, top5_acc: 0.9313, loss_cls: 4.8094, loss: 4.8094 2025-04-29 20:03:49,204 - pyskl - INFO - Epoch [98][300/1027] lr: 6.874e-03, eta: 7:10:05, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7756, top5_acc: 0.9394, loss_cls: 4.7499, loss: 4.7499 2025-04-29 20:04:35,746 - pyskl - INFO - Epoch [98][400/1027] lr: 6.851e-03, eta: 7:09:17, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.7606, top5_acc: 0.9375, loss_cls: 4.8305, loss: 4.8305 2025-04-29 20:05:23,332 - pyskl - INFO - Epoch [98][500/1027] lr: 6.828e-03, eta: 7:08:29, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.7500, top5_acc: 0.9281, loss_cls: 4.9530, loss: 4.9530 2025-04-29 20:06:11,267 - pyskl - INFO - Epoch [98][600/1027] lr: 6.806e-03, eta: 7:07:41, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.7325, top5_acc: 0.9237, loss_cls: 5.0725, loss: 5.0725 2025-04-29 20:06:57,826 - pyskl - INFO - Epoch [98][700/1027] lr: 6.783e-03, eta: 7:06:53, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.7525, top5_acc: 0.9281, loss_cls: 4.8806, loss: 4.8806 2025-04-29 20:07:45,431 - pyskl - INFO - Epoch [98][800/1027] lr: 6.760e-03, eta: 7:06:05, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.7450, top5_acc: 0.9250, loss_cls: 4.8835, loss: 4.8835 2025-04-29 20:08:32,393 - pyskl - INFO - Epoch [98][900/1027] lr: 6.738e-03, eta: 7:05:17, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7412, top5_acc: 0.9219, loss_cls: 5.0421, loss: 5.0421 2025-04-29 20:09:19,948 - pyskl - INFO - Epoch [98][1000/1027] lr: 6.715e-03, eta: 7:04:30, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.7425, top5_acc: 0.9250, loss_cls: 4.9726, loss: 4.9726 2025-04-29 20:09:33,728 - pyskl - INFO - Saving checkpoint at 98 epochs 2025-04-29 20:10:14,046 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 20:10:14,118 - pyskl - INFO - top1_acc 0.5795 top5_acc 0.8476 2025-04-29 20:10:14,118 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 20:10:14,126 - pyskl - INFO - mean_acc 0.5783 2025-04-29 20:10:14,128 - pyskl - INFO - Epoch(val) [98][413] top1_acc: 0.5795, top5_acc: 0.8476, mean_class_accuracy: 0.5783 2025-04-29 20:11:18,783 - pyskl - INFO - Epoch [99][100/1027] lr: 6.686e-03, eta: 7:03:31, time: 0.646, data_time: 0.261, memory: 7959, top1_acc: 0.8019, top5_acc: 0.9456, loss_cls: 4.6585, loss: 4.6585 2025-04-29 20:12:01,843 - pyskl - INFO - Epoch [99][200/1027] lr: 6.664e-03, eta: 7:02:41, time: 0.431, data_time: 0.000, memory: 7959, top1_acc: 0.7556, top5_acc: 0.9394, loss_cls: 4.8130, loss: 4.8130 2025-04-29 20:12:47,743 - pyskl - INFO - Epoch [99][300/1027] lr: 6.641e-03, eta: 7:01:53, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.7619, top5_acc: 0.9331, loss_cls: 4.7961, loss: 4.7961 2025-04-29 20:13:35,066 - pyskl - INFO - Epoch [99][400/1027] lr: 6.619e-03, eta: 7:01:05, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.7581, top5_acc: 0.9287, loss_cls: 4.7668, loss: 4.7668 2025-04-29 20:14:22,518 - pyskl - INFO - Epoch [99][500/1027] lr: 6.596e-03, eta: 7:00:17, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.7681, top5_acc: 0.9431, loss_cls: 4.7649, loss: 4.7649 2025-04-29 20:15:09,051 - pyskl - INFO - Epoch [99][600/1027] lr: 6.574e-03, eta: 6:59:29, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.7519, top5_acc: 0.9287, loss_cls: 5.0008, loss: 5.0008 2025-04-29 20:15:55,957 - pyskl - INFO - Epoch [99][700/1027] lr: 6.551e-03, eta: 6:58:41, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.7525, top5_acc: 0.9363, loss_cls: 4.8573, loss: 4.8573 2025-04-29 20:16:43,004 - pyskl - INFO - Epoch [99][800/1027] lr: 6.529e-03, eta: 6:57:53, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7425, top5_acc: 0.9256, loss_cls: 4.8999, loss: 4.8999 2025-04-29 20:17:29,967 - pyskl - INFO - Epoch [99][900/1027] lr: 6.507e-03, eta: 6:57:05, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7288, top5_acc: 0.9269, loss_cls: 4.9973, loss: 4.9973 2025-04-29 20:18:17,561 - pyskl - INFO - Epoch [99][1000/1027] lr: 6.484e-03, eta: 6:56:17, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.7519, top5_acc: 0.9244, loss_cls: 4.7862, loss: 4.7862 2025-04-29 20:18:30,855 - pyskl - INFO - Saving checkpoint at 99 epochs 2025-04-29 20:19:11,111 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 20:19:11,183 - pyskl - INFO - top1_acc 0.5866 top5_acc 0.8465 2025-04-29 20:19:11,183 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 20:19:11,191 - pyskl - INFO - mean_acc 0.5863 2025-04-29 20:19:11,192 - pyskl - INFO - Epoch(val) [99][413] top1_acc: 0.5866, top5_acc: 0.8465, mean_class_accuracy: 0.5863 2025-04-29 20:20:15,762 - pyskl - INFO - Epoch [100][100/1027] lr: 6.456e-03, eta: 6:55:18, time: 0.646, data_time: 0.263, memory: 7959, top1_acc: 0.8081, top5_acc: 0.9544, loss_cls: 4.5394, loss: 4.5394 2025-04-29 20:20:59,538 - pyskl - INFO - Epoch [100][200/1027] lr: 6.434e-03, eta: 6:54:29, time: 0.438, data_time: 0.000, memory: 7959, top1_acc: 0.7956, top5_acc: 0.9500, loss_cls: 4.6966, loss: 4.6966 2025-04-29 20:21:45,955 - pyskl - INFO - Epoch [100][300/1027] lr: 6.411e-03, eta: 6:53:40, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.7556, top5_acc: 0.9325, loss_cls: 4.9102, loss: 4.9102 2025-04-29 20:22:32,427 - pyskl - INFO - Epoch [100][400/1027] lr: 6.389e-03, eta: 6:52:52, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.7756, top5_acc: 0.9437, loss_cls: 4.6977, loss: 4.6977 2025-04-29 20:23:19,525 - pyskl - INFO - Epoch [100][500/1027] lr: 6.367e-03, eta: 6:52:04, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.7544, top5_acc: 0.9394, loss_cls: 4.8702, loss: 4.8702 2025-04-29 20:24:06,085 - pyskl - INFO - Epoch [100][600/1027] lr: 6.345e-03, eta: 6:51:16, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.7419, top5_acc: 0.9294, loss_cls: 4.8770, loss: 4.8770 2025-04-29 20:24:53,843 - pyskl - INFO - Epoch [100][700/1027] lr: 6.323e-03, eta: 6:50:28, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.7675, top5_acc: 0.9425, loss_cls: 4.7669, loss: 4.7669 2025-04-29 20:25:40,345 - pyskl - INFO - Epoch [100][800/1027] lr: 6.300e-03, eta: 6:49:40, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.7381, top5_acc: 0.9231, loss_cls: 5.0202, loss: 5.0202 2025-04-29 20:26:28,355 - pyskl - INFO - Epoch [100][900/1027] lr: 6.278e-03, eta: 6:48:53, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.7600, top5_acc: 0.9250, loss_cls: 4.8528, loss: 4.8528 2025-04-29 20:27:15,593 - pyskl - INFO - Epoch [100][1000/1027] lr: 6.256e-03, eta: 6:48:05, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.7581, top5_acc: 0.9300, loss_cls: 4.7762, loss: 4.7762 2025-04-29 20:27:29,159 - pyskl - INFO - Saving checkpoint at 100 epochs 2025-04-29 20:28:09,489 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 20:28:09,563 - pyskl - INFO - top1_acc 0.5811 top5_acc 0.8491 2025-04-29 20:28:09,563 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 20:28:09,572 - pyskl - INFO - mean_acc 0.5830 2025-04-29 20:28:09,574 - pyskl - INFO - Epoch(val) [100][413] top1_acc: 0.5811, top5_acc: 0.8491, mean_class_accuracy: 0.5830 2025-04-29 20:29:14,580 - pyskl - INFO - Epoch [101][100/1027] lr: 6.228e-03, eta: 6:47:06, time: 0.650, data_time: 0.266, memory: 7959, top1_acc: 0.8037, top5_acc: 0.9500, loss_cls: 4.5883, loss: 4.5883 2025-04-29 20:29:58,149 - pyskl - INFO - Epoch [101][200/1027] lr: 6.206e-03, eta: 6:46:17, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.8037, top5_acc: 0.9463, loss_cls: 4.5837, loss: 4.5837 2025-04-29 20:30:44,020 - pyskl - INFO - Epoch [101][300/1027] lr: 6.184e-03, eta: 6:45:28, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.7837, top5_acc: 0.9469, loss_cls: 4.6153, loss: 4.6153 2025-04-29 20:31:31,153 - pyskl - INFO - Epoch [101][400/1027] lr: 6.162e-03, eta: 6:44:40, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.7794, top5_acc: 0.9475, loss_cls: 4.6711, loss: 4.6711 2025-04-29 20:32:18,058 - pyskl - INFO - Epoch [101][500/1027] lr: 6.140e-03, eta: 6:43:52, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.7694, top5_acc: 0.9413, loss_cls: 4.7472, loss: 4.7472 2025-04-29 20:33:05,426 - pyskl - INFO - Epoch [101][600/1027] lr: 6.118e-03, eta: 6:43:05, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.7756, top5_acc: 0.9356, loss_cls: 4.7438, loss: 4.7438 2025-04-29 20:33:52,462 - pyskl - INFO - Epoch [101][700/1027] lr: 6.096e-03, eta: 6:42:17, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7712, top5_acc: 0.9419, loss_cls: 4.8205, loss: 4.8205 2025-04-29 20:34:39,474 - pyskl - INFO - Epoch [101][800/1027] lr: 6.074e-03, eta: 6:41:29, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7725, top5_acc: 0.9413, loss_cls: 4.8237, loss: 4.8237 2025-04-29 20:35:26,184 - pyskl - INFO - Epoch [101][900/1027] lr: 6.053e-03, eta: 6:40:40, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.7794, top5_acc: 0.9425, loss_cls: 4.6821, loss: 4.6821 2025-04-29 20:36:13,074 - pyskl - INFO - Epoch [101][1000/1027] lr: 6.031e-03, eta: 6:39:52, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.7544, top5_acc: 0.9325, loss_cls: 4.8916, loss: 4.8916 2025-04-29 20:36:26,557 - pyskl - INFO - Saving checkpoint at 101 epochs 2025-04-29 20:37:06,604 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 20:37:06,679 - pyskl - INFO - top1_acc 0.5828 top5_acc 0.8536 2025-04-29 20:37:06,680 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 20:37:06,689 - pyskl - INFO - mean_acc 0.5891 2025-04-29 20:37:06,691 - pyskl - INFO - Epoch(val) [101][413] top1_acc: 0.5828, top5_acc: 0.8536, mean_class_accuracy: 0.5891 2025-04-29 20:38:11,851 - pyskl - INFO - Epoch [102][100/1027] lr: 6.003e-03, eta: 6:38:54, time: 0.652, data_time: 0.265, memory: 7959, top1_acc: 0.8194, top5_acc: 0.9544, loss_cls: 4.4199, loss: 4.4199 2025-04-29 20:38:56,607 - pyskl - INFO - Epoch [102][200/1027] lr: 5.981e-03, eta: 6:38:05, time: 0.448, data_time: 0.000, memory: 7959, top1_acc: 0.8237, top5_acc: 0.9544, loss_cls: 4.6294, loss: 4.6294 2025-04-29 20:39:42,107 - pyskl - INFO - Epoch [102][300/1027] lr: 5.960e-03, eta: 6:37:16, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.8100, top5_acc: 0.9481, loss_cls: 4.5970, loss: 4.5970 2025-04-29 20:40:28,783 - pyskl - INFO - Epoch [102][400/1027] lr: 5.938e-03, eta: 6:36:28, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.7994, top5_acc: 0.9525, loss_cls: 4.6444, loss: 4.6444 2025-04-29 20:41:16,273 - pyskl - INFO - Epoch [102][500/1027] lr: 5.916e-03, eta: 6:35:41, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.7775, top5_acc: 0.9450, loss_cls: 4.6897, loss: 4.6897 2025-04-29 20:42:04,692 - pyskl - INFO - Epoch [102][600/1027] lr: 5.895e-03, eta: 6:34:53, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.7712, top5_acc: 0.9425, loss_cls: 4.8185, loss: 4.8185 2025-04-29 20:42:53,776 - pyskl - INFO - Epoch [102][700/1027] lr: 5.873e-03, eta: 6:34:06, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.7906, top5_acc: 0.9463, loss_cls: 4.6965, loss: 4.6965 2025-04-29 20:43:43,893 - pyskl - INFO - Epoch [102][800/1027] lr: 5.851e-03, eta: 6:33:20, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.7887, top5_acc: 0.9469, loss_cls: 4.6965, loss: 4.6965 2025-04-29 20:44:33,681 - pyskl - INFO - Epoch [102][900/1027] lr: 5.830e-03, eta: 6:32:33, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.7656, top5_acc: 0.9431, loss_cls: 4.7499, loss: 4.7499 2025-04-29 20:45:22,850 - pyskl - INFO - Epoch [102][1000/1027] lr: 5.808e-03, eta: 6:31:46, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.7619, top5_acc: 0.9294, loss_cls: 4.8009, loss: 4.8009 2025-04-29 20:45:37,184 - pyskl - INFO - Saving checkpoint at 102 epochs 2025-04-29 20:46:18,284 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 20:46:18,357 - pyskl - INFO - top1_acc 0.5749 top5_acc 0.8466 2025-04-29 20:46:18,357 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 20:46:18,364 - pyskl - INFO - mean_acc 0.5777 2025-04-29 20:46:18,366 - pyskl - INFO - Epoch(val) [102][413] top1_acc: 0.5749, top5_acc: 0.8466, mean_class_accuracy: 0.5777 2025-04-29 20:47:24,334 - pyskl - INFO - Epoch [103][100/1027] lr: 5.781e-03, eta: 6:30:48, time: 0.660, data_time: 0.262, memory: 7959, top1_acc: 0.8237, top5_acc: 0.9581, loss_cls: 4.4919, loss: 4.4919 2025-04-29 20:48:09,464 - pyskl - INFO - Epoch [103][200/1027] lr: 5.759e-03, eta: 6:29:59, time: 0.451, data_time: 0.000, memory: 7959, top1_acc: 0.8063, top5_acc: 0.9513, loss_cls: 4.5090, loss: 4.5090 2025-04-29 20:48:57,592 - pyskl - INFO - Epoch [103][300/1027] lr: 5.738e-03, eta: 6:29:12, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.7987, top5_acc: 0.9550, loss_cls: 4.5834, loss: 4.5834 2025-04-29 20:49:46,655 - pyskl - INFO - Epoch [103][400/1027] lr: 5.717e-03, eta: 6:28:25, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.8069, top5_acc: 0.9513, loss_cls: 4.6634, loss: 4.6634 2025-04-29 20:50:36,584 - pyskl - INFO - Epoch [103][500/1027] lr: 5.695e-03, eta: 6:27:38, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.8050, top5_acc: 0.9525, loss_cls: 4.6035, loss: 4.6035 2025-04-29 20:51:26,940 - pyskl - INFO - Epoch [103][600/1027] lr: 5.674e-03, eta: 6:26:52, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.8031, top5_acc: 0.9506, loss_cls: 4.5949, loss: 4.5949 2025-04-29 20:52:16,102 - pyskl - INFO - Epoch [103][700/1027] lr: 5.652e-03, eta: 6:26:05, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.7656, top5_acc: 0.9369, loss_cls: 4.6890, loss: 4.6890 2025-04-29 20:53:05,297 - pyskl - INFO - Epoch [103][800/1027] lr: 5.631e-03, eta: 6:25:18, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.7881, top5_acc: 0.9556, loss_cls: 4.5751, loss: 4.5751 2025-04-29 20:53:54,641 - pyskl - INFO - Epoch [103][900/1027] lr: 5.610e-03, eta: 6:24:31, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.7788, top5_acc: 0.9381, loss_cls: 4.7908, loss: 4.7908 2025-04-29 20:54:43,640 - pyskl - INFO - Epoch [103][1000/1027] lr: 5.589e-03, eta: 6:23:44, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.7575, top5_acc: 0.9313, loss_cls: 4.8313, loss: 4.8313 2025-04-29 20:54:57,536 - pyskl - INFO - Saving checkpoint at 103 epochs 2025-04-29 20:55:38,162 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 20:55:38,233 - pyskl - INFO - top1_acc 0.5769 top5_acc 0.8422 2025-04-29 20:55:38,233 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 20:55:38,241 - pyskl - INFO - mean_acc 0.5755 2025-04-29 20:55:38,243 - pyskl - INFO - Epoch(val) [103][413] top1_acc: 0.5769, top5_acc: 0.8422, mean_class_accuracy: 0.5755 2025-04-29 20:56:43,508 - pyskl - INFO - Epoch [104][100/1027] lr: 5.562e-03, eta: 6:22:46, time: 0.653, data_time: 0.264, memory: 7959, top1_acc: 0.8369, top5_acc: 0.9637, loss_cls: 4.3244, loss: 4.3244 2025-04-29 20:57:27,362 - pyskl - INFO - Epoch [104][200/1027] lr: 5.540e-03, eta: 6:21:56, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.8013, top5_acc: 0.9556, loss_cls: 4.5733, loss: 4.5733 2025-04-29 20:58:12,998 - pyskl - INFO - Epoch [104][300/1027] lr: 5.519e-03, eta: 6:21:08, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.8213, top5_acc: 0.9556, loss_cls: 4.3959, loss: 4.3959 2025-04-29 20:59:00,003 - pyskl - INFO - Epoch [104][400/1027] lr: 5.498e-03, eta: 6:20:20, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.8231, top5_acc: 0.9613, loss_cls: 4.5222, loss: 4.5222 2025-04-29 20:59:46,675 - pyskl - INFO - Epoch [104][500/1027] lr: 5.477e-03, eta: 6:19:31, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.8050, top5_acc: 0.9513, loss_cls: 4.5235, loss: 4.5235 2025-04-29 21:00:33,889 - pyskl - INFO - Epoch [104][600/1027] lr: 5.456e-03, eta: 6:18:44, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.7856, top5_acc: 0.9544, loss_cls: 4.6550, loss: 4.6550 2025-04-29 21:01:20,336 - pyskl - INFO - Epoch [104][700/1027] lr: 5.435e-03, eta: 6:17:55, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.7944, top5_acc: 0.9494, loss_cls: 4.6303, loss: 4.6303 2025-04-29 21:02:08,437 - pyskl - INFO - Epoch [104][800/1027] lr: 5.414e-03, eta: 6:17:08, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.7825, top5_acc: 0.9456, loss_cls: 4.7166, loss: 4.7166 2025-04-29 21:02:56,215 - pyskl - INFO - Epoch [104][900/1027] lr: 5.393e-03, eta: 6:16:20, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.7863, top5_acc: 0.9413, loss_cls: 4.7117, loss: 4.7117 2025-04-29 21:03:43,621 - pyskl - INFO - Epoch [104][1000/1027] lr: 5.372e-03, eta: 6:15:33, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.7844, top5_acc: 0.9513, loss_cls: 4.6180, loss: 4.6180 2025-04-29 21:03:57,421 - pyskl - INFO - Saving checkpoint at 104 epochs 2025-04-29 21:04:37,637 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 21:04:37,713 - pyskl - INFO - top1_acc 0.5746 top5_acc 0.8404 2025-04-29 21:04:37,713 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 21:04:37,722 - pyskl - INFO - mean_acc 0.5781 2025-04-29 21:04:37,724 - pyskl - INFO - Epoch(val) [104][413] top1_acc: 0.5746, top5_acc: 0.8404, mean_class_accuracy: 0.5781 2025-04-29 21:05:43,174 - pyskl - INFO - Epoch [105][100/1027] lr: 5.345e-03, eta: 6:14:34, time: 0.654, data_time: 0.270, memory: 7959, top1_acc: 0.8494, top5_acc: 0.9637, loss_cls: 4.3814, loss: 4.3814 2025-04-29 21:06:27,121 - pyskl - INFO - Epoch [105][200/1027] lr: 5.324e-03, eta: 6:13:45, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.8538, top5_acc: 0.9669, loss_cls: 4.3229, loss: 4.3229 2025-04-29 21:07:13,116 - pyskl - INFO - Epoch [105][300/1027] lr: 5.304e-03, eta: 6:12:56, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.8119, top5_acc: 0.9525, loss_cls: 4.5104, loss: 4.5104 2025-04-29 21:07:59,431 - pyskl - INFO - Epoch [105][400/1027] lr: 5.283e-03, eta: 6:12:08, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.8044, top5_acc: 0.9550, loss_cls: 4.5494, loss: 4.5494 2025-04-29 21:08:46,839 - pyskl - INFO - Epoch [105][500/1027] lr: 5.262e-03, eta: 6:11:20, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.8181, top5_acc: 0.9581, loss_cls: 4.5180, loss: 4.5180 2025-04-29 21:09:34,145 - pyskl - INFO - Epoch [105][600/1027] lr: 5.241e-03, eta: 6:10:33, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.8187, top5_acc: 0.9581, loss_cls: 4.4627, loss: 4.4627 2025-04-29 21:10:21,806 - pyskl - INFO - Epoch [105][700/1027] lr: 5.220e-03, eta: 6:09:45, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.8044, top5_acc: 0.9506, loss_cls: 4.4287, loss: 4.4287 2025-04-29 21:11:09,988 - pyskl - INFO - Epoch [105][800/1027] lr: 5.200e-03, eta: 6:08:57, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.7887, top5_acc: 0.9444, loss_cls: 4.5658, loss: 4.5658 2025-04-29 21:11:57,229 - pyskl - INFO - Epoch [105][900/1027] lr: 5.179e-03, eta: 6:08:10, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.7975, top5_acc: 0.9537, loss_cls: 4.5286, loss: 4.5286 2025-04-29 21:12:44,587 - pyskl - INFO - Epoch [105][1000/1027] lr: 5.158e-03, eta: 6:07:22, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.7919, top5_acc: 0.9487, loss_cls: 4.4941, loss: 4.4941 2025-04-29 21:12:58,427 - pyskl - INFO - Saving checkpoint at 105 epochs 2025-04-29 21:13:38,654 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 21:13:38,726 - pyskl - INFO - top1_acc 0.5892 top5_acc 0.8516 2025-04-29 21:13:38,727 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 21:13:38,735 - pyskl - INFO - mean_acc 0.5917 2025-04-29 21:13:38,794 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_89.pth was removed 2025-04-29 21:13:40,416 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. 2025-04-29 21:13:40,418 - pyskl - INFO - Best top1_acc is 0.5892 at 105 epoch. 2025-04-29 21:13:40,421 - pyskl - INFO - Epoch(val) [105][413] top1_acc: 0.5892, top5_acc: 0.8516, mean_class_accuracy: 0.5917 2025-04-29 21:14:45,378 - pyskl - INFO - Epoch [106][100/1027] lr: 5.132e-03, eta: 6:06:23, time: 0.650, data_time: 0.265, memory: 7959, top1_acc: 0.8488, top5_acc: 0.9681, loss_cls: 4.3402, loss: 4.3402 2025-04-29 21:15:29,394 - pyskl - INFO - Epoch [106][200/1027] lr: 5.112e-03, eta: 6:05:34, time: 0.440, data_time: 0.000, memory: 7959, top1_acc: 0.8488, top5_acc: 0.9712, loss_cls: 4.2194, loss: 4.2194 2025-04-29 21:16:14,826 - pyskl - INFO - Epoch [106][300/1027] lr: 5.091e-03, eta: 6:04:45, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.8300, top5_acc: 0.9600, loss_cls: 4.3852, loss: 4.3852 2025-04-29 21:17:01,120 - pyskl - INFO - Epoch [106][400/1027] lr: 5.071e-03, eta: 6:03:57, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.8456, top5_acc: 0.9625, loss_cls: 4.3589, loss: 4.3589 2025-04-29 21:17:48,549 - pyskl - INFO - Epoch [106][500/1027] lr: 5.050e-03, eta: 6:03:09, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.8244, top5_acc: 0.9656, loss_cls: 4.4032, loss: 4.4032 2025-04-29 21:18:36,398 - pyskl - INFO - Epoch [106][600/1027] lr: 5.030e-03, eta: 6:02:22, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.8313, top5_acc: 0.9613, loss_cls: 4.3969, loss: 4.3969 2025-04-29 21:19:22,766 - pyskl - INFO - Epoch [106][700/1027] lr: 5.009e-03, eta: 6:01:33, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.8200, top5_acc: 0.9563, loss_cls: 4.5142, loss: 4.5142 2025-04-29 21:20:09,583 - pyskl - INFO - Epoch [106][800/1027] lr: 4.989e-03, eta: 6:00:45, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.7956, top5_acc: 0.9594, loss_cls: 4.5690, loss: 4.5690 2025-04-29 21:20:56,647 - pyskl - INFO - Epoch [106][900/1027] lr: 4.969e-03, eta: 5:59:58, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.7969, top5_acc: 0.9506, loss_cls: 4.4891, loss: 4.4891 2025-04-29 21:21:43,401 - pyskl - INFO - Epoch [106][1000/1027] lr: 4.948e-03, eta: 5:59:10, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.8037, top5_acc: 0.9519, loss_cls: 4.5085, loss: 4.5085 2025-04-29 21:21:57,070 - pyskl - INFO - Saving checkpoint at 106 epochs 2025-04-29 21:22:37,182 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 21:22:37,256 - pyskl - INFO - top1_acc 0.5854 top5_acc 0.8524 2025-04-29 21:22:37,256 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 21:22:37,265 - pyskl - INFO - mean_acc 0.5883 2025-04-29 21:22:37,267 - pyskl - INFO - Epoch(val) [106][413] top1_acc: 0.5854, top5_acc: 0.8524, mean_class_accuracy: 0.5883 2025-04-29 21:23:41,215 - pyskl - INFO - Epoch [107][100/1027] lr: 4.922e-03, eta: 5:58:10, time: 0.639, data_time: 0.260, memory: 7959, top1_acc: 0.8544, top5_acc: 0.9681, loss_cls: 4.2288, loss: 4.2288 2025-04-29 21:24:24,304 - pyskl - INFO - Epoch [107][200/1027] lr: 4.902e-03, eta: 5:57:21, time: 0.431, data_time: 0.000, memory: 7959, top1_acc: 0.8631, top5_acc: 0.9719, loss_cls: 4.2194, loss: 4.2194 2025-04-29 21:25:10,205 - pyskl - INFO - Epoch [107][300/1027] lr: 4.882e-03, eta: 5:56:32, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.8481, top5_acc: 0.9681, loss_cls: 4.2696, loss: 4.2696 2025-04-29 21:25:55,360 - pyskl - INFO - Epoch [107][400/1027] lr: 4.862e-03, eta: 5:55:44, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.8413, top5_acc: 0.9631, loss_cls: 4.4019, loss: 4.4019 2025-04-29 21:26:41,619 - pyskl - INFO - Epoch [107][500/1027] lr: 4.842e-03, eta: 5:54:56, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.8313, top5_acc: 0.9663, loss_cls: 4.3945, loss: 4.3945 2025-04-29 21:27:28,068 - pyskl - INFO - Epoch [107][600/1027] lr: 4.821e-03, eta: 5:54:07, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.8462, top5_acc: 0.9644, loss_cls: 4.3519, loss: 4.3519 2025-04-29 21:28:15,049 - pyskl - INFO - Epoch [107][700/1027] lr: 4.801e-03, eta: 5:53:19, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.8331, top5_acc: 0.9581, loss_cls: 4.4518, loss: 4.4518 2025-04-29 21:29:00,982 - pyskl - INFO - Epoch [107][800/1027] lr: 4.781e-03, eta: 5:52:31, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.8438, top5_acc: 0.9656, loss_cls: 4.3690, loss: 4.3690 2025-04-29 21:29:47,262 - pyskl - INFO - Epoch [107][900/1027] lr: 4.761e-03, eta: 5:51:43, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.8219, top5_acc: 0.9594, loss_cls: 4.4183, loss: 4.4183 2025-04-29 21:30:34,150 - pyskl - INFO - Epoch [107][1000/1027] lr: 4.741e-03, eta: 5:50:55, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.8125, top5_acc: 0.9594, loss_cls: 4.5621, loss: 4.5621 2025-04-29 21:30:47,937 - pyskl - INFO - Saving checkpoint at 107 epochs 2025-04-29 21:31:28,222 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 21:31:28,295 - pyskl - INFO - top1_acc 0.5824 top5_acc 0.8445 2025-04-29 21:31:28,295 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 21:31:28,304 - pyskl - INFO - mean_acc 0.5810 2025-04-29 21:31:28,305 - pyskl - INFO - Epoch(val) [107][413] top1_acc: 0.5824, top5_acc: 0.8445, mean_class_accuracy: 0.5810 2025-04-29 21:32:32,528 - pyskl - INFO - Epoch [108][100/1027] lr: 4.716e-03, eta: 5:49:56, time: 0.642, data_time: 0.260, memory: 7959, top1_acc: 0.8738, top5_acc: 0.9838, loss_cls: 4.0011, loss: 4.0011 2025-04-29 21:33:15,624 - pyskl - INFO - Epoch [108][200/1027] lr: 4.696e-03, eta: 5:49:06, time: 0.431, data_time: 0.000, memory: 7959, top1_acc: 0.8538, top5_acc: 0.9656, loss_cls: 4.2608, loss: 4.2608 2025-04-29 21:34:00,121 - pyskl - INFO - Epoch [108][300/1027] lr: 4.676e-03, eta: 5:48:18, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.8550, top5_acc: 0.9694, loss_cls: 4.2015, loss: 4.2015 2025-04-29 21:34:46,582 - pyskl - INFO - Epoch [108][400/1027] lr: 4.656e-03, eta: 5:47:29, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.8500, top5_acc: 0.9712, loss_cls: 4.2936, loss: 4.2936 2025-04-29 21:35:32,375 - pyskl - INFO - Epoch [108][500/1027] lr: 4.636e-03, eta: 5:46:41, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.8387, top5_acc: 0.9594, loss_cls: 4.3486, loss: 4.3486 2025-04-29 21:36:19,195 - pyskl - INFO - Epoch [108][600/1027] lr: 4.617e-03, eta: 5:45:53, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.8431, top5_acc: 0.9663, loss_cls: 4.3686, loss: 4.3686 2025-04-29 21:37:06,091 - pyskl - INFO - Epoch [108][700/1027] lr: 4.597e-03, eta: 5:45:05, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.8319, top5_acc: 0.9613, loss_cls: 4.3101, loss: 4.3101 2025-04-29 21:37:53,001 - pyskl - INFO - Epoch [108][800/1027] lr: 4.577e-03, eta: 5:44:17, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.8187, top5_acc: 0.9669, loss_cls: 4.3239, loss: 4.3239 2025-04-29 21:38:40,101 - pyskl - INFO - Epoch [108][900/1027] lr: 4.557e-03, eta: 5:43:29, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.8313, top5_acc: 0.9700, loss_cls: 4.2984, loss: 4.2984 2025-04-29 21:39:26,975 - pyskl - INFO - Epoch [108][1000/1027] lr: 4.538e-03, eta: 5:42:41, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.8163, top5_acc: 0.9619, loss_cls: 4.3350, loss: 4.3350 2025-04-29 21:39:40,494 - pyskl - INFO - Saving checkpoint at 108 epochs 2025-04-29 21:40:20,513 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 21:40:20,584 - pyskl - INFO - top1_acc 0.5865 top5_acc 0.8523 2025-04-29 21:40:20,585 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 21:40:20,592 - pyskl - INFO - mean_acc 0.5848 2025-04-29 21:40:20,594 - pyskl - INFO - Epoch(val) [108][413] top1_acc: 0.5865, top5_acc: 0.8523, mean_class_accuracy: 0.5848 2025-04-29 21:41:24,605 - pyskl - INFO - Epoch [109][100/1027] lr: 4.513e-03, eta: 5:41:42, time: 0.640, data_time: 0.257, memory: 7959, top1_acc: 0.8719, top5_acc: 0.9800, loss_cls: 4.1645, loss: 4.1645 2025-04-29 21:42:08,235 - pyskl - INFO - Epoch [109][200/1027] lr: 4.493e-03, eta: 5:40:53, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.8600, top5_acc: 0.9669, loss_cls: 4.1846, loss: 4.1846 2025-04-29 21:42:56,399 - pyskl - INFO - Epoch [109][300/1027] lr: 4.474e-03, eta: 5:40:06, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.8725, top5_acc: 0.9762, loss_cls: 3.9927, loss: 3.9927 2025-04-29 21:43:44,884 - pyskl - INFO - Epoch [109][400/1027] lr: 4.454e-03, eta: 5:39:18, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.8494, top5_acc: 0.9644, loss_cls: 4.3118, loss: 4.3118 2025-04-29 21:44:34,176 - pyskl - INFO - Epoch [109][500/1027] lr: 4.435e-03, eta: 5:38:31, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.8606, top5_acc: 0.9744, loss_cls: 4.1701, loss: 4.1701 2025-04-29 21:45:23,432 - pyskl - INFO - Epoch [109][600/1027] lr: 4.415e-03, eta: 5:37:44, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.8675, top5_acc: 0.9725, loss_cls: 4.2390, loss: 4.2390 2025-04-29 21:46:13,115 - pyskl - INFO - Epoch [109][700/1027] lr: 4.396e-03, eta: 5:36:57, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.8588, top5_acc: 0.9738, loss_cls: 4.2627, loss: 4.2627 2025-04-29 21:47:01,964 - pyskl - INFO - Epoch [109][800/1027] lr: 4.376e-03, eta: 5:36:10, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.8319, top5_acc: 0.9613, loss_cls: 4.4054, loss: 4.4054 2025-04-29 21:47:49,871 - pyskl - INFO - Epoch [109][900/1027] lr: 4.357e-03, eta: 5:35:23, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.8369, top5_acc: 0.9637, loss_cls: 4.2108, loss: 4.2108 2025-04-29 21:48:39,059 - pyskl - INFO - Epoch [109][1000/1027] lr: 4.338e-03, eta: 5:34:36, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.8313, top5_acc: 0.9688, loss_cls: 4.3270, loss: 4.3270 2025-04-29 21:48:53,800 - pyskl - INFO - Saving checkpoint at 109 epochs 2025-04-29 21:49:35,693 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 21:49:35,767 - pyskl - INFO - top1_acc 0.5836 top5_acc 0.8501 2025-04-29 21:49:35,767 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 21:49:35,776 - pyskl - INFO - mean_acc 0.5868 2025-04-29 21:49:35,778 - pyskl - INFO - Epoch(val) [109][413] top1_acc: 0.5836, top5_acc: 0.8501, mean_class_accuracy: 0.5868 2025-04-29 21:50:41,375 - pyskl - INFO - Epoch [110][100/1027] lr: 4.313e-03, eta: 5:33:37, time: 0.656, data_time: 0.262, memory: 7959, top1_acc: 0.8769, top5_acc: 0.9788, loss_cls: 4.0127, loss: 4.0127 2025-04-29 21:51:26,757 - pyskl - INFO - Epoch [110][200/1027] lr: 4.294e-03, eta: 5:32:49, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.8606, top5_acc: 0.9738, loss_cls: 4.1974, loss: 4.1974 2025-04-29 21:52:14,541 - pyskl - INFO - Epoch [110][300/1027] lr: 4.275e-03, eta: 5:32:01, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.8669, top5_acc: 0.9812, loss_cls: 3.9882, loss: 3.9882 2025-04-29 21:53:03,013 - pyskl - INFO - Epoch [110][400/1027] lr: 4.256e-03, eta: 5:31:14, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.8712, top5_acc: 0.9744, loss_cls: 4.1250, loss: 4.1250 2025-04-29 21:53:52,035 - pyskl - INFO - Epoch [110][500/1027] lr: 4.236e-03, eta: 5:30:26, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.8525, top5_acc: 0.9644, loss_cls: 4.2407, loss: 4.2407 2025-04-29 21:54:41,111 - pyskl - INFO - Epoch [110][600/1027] lr: 4.217e-03, eta: 5:29:39, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.8575, top5_acc: 0.9619, loss_cls: 4.2716, loss: 4.2716 2025-04-29 21:55:30,231 - pyskl - INFO - Epoch [110][700/1027] lr: 4.198e-03, eta: 5:28:52, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.8475, top5_acc: 0.9731, loss_cls: 4.1846, loss: 4.1846 2025-04-29 21:56:17,994 - pyskl - INFO - Epoch [110][800/1027] lr: 4.179e-03, eta: 5:28:05, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.8356, top5_acc: 0.9706, loss_cls: 4.3297, loss: 4.3297 2025-04-29 21:57:05,130 - pyskl - INFO - Epoch [110][900/1027] lr: 4.160e-03, eta: 5:27:17, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.8438, top5_acc: 0.9669, loss_cls: 4.2826, loss: 4.2826 2025-04-29 21:57:53,020 - pyskl - INFO - Epoch [110][1000/1027] lr: 4.141e-03, eta: 5:26:29, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.8575, top5_acc: 0.9750, loss_cls: 4.1696, loss: 4.1696 2025-04-29 21:58:06,243 - pyskl - INFO - Saving checkpoint at 110 epochs 2025-04-29 21:58:46,497 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 21:58:46,573 - pyskl - INFO - top1_acc 0.5930 top5_acc 0.8545 2025-04-29 21:58:46,573 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 21:58:46,583 - pyskl - INFO - mean_acc 0.5930 2025-04-29 21:58:46,642 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_105.pth was removed 2025-04-29 21:58:48,285 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. 2025-04-29 21:58:48,286 - pyskl - INFO - Best top1_acc is 0.5930 at 110 epoch. 2025-04-29 21:58:48,290 - pyskl - INFO - Epoch(val) [110][413] top1_acc: 0.5930, top5_acc: 0.8545, mean_class_accuracy: 0.5930 2025-04-29 21:59:52,207 - pyskl - INFO - Epoch [111][100/1027] lr: 4.117e-03, eta: 5:25:30, time: 0.639, data_time: 0.259, memory: 7959, top1_acc: 0.8744, top5_acc: 0.9756, loss_cls: 4.0908, loss: 4.0908 2025-04-29 22:00:34,711 - pyskl - INFO - Epoch [111][200/1027] lr: 4.098e-03, eta: 5:24:40, time: 0.425, data_time: 0.000, memory: 7959, top1_acc: 0.8794, top5_acc: 0.9831, loss_cls: 4.1827, loss: 4.1827 2025-04-29 22:01:20,339 - pyskl - INFO - Epoch [111][300/1027] lr: 4.079e-03, eta: 5:23:52, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.8819, top5_acc: 0.9869, loss_cls: 3.8446, loss: 3.8446 2025-04-29 22:02:06,915 - pyskl - INFO - Epoch [111][400/1027] lr: 4.061e-03, eta: 5:23:04, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.8881, top5_acc: 0.9812, loss_cls: 4.0424, loss: 4.0424 2025-04-29 22:02:54,265 - pyskl - INFO - Epoch [111][500/1027] lr: 4.042e-03, eta: 5:22:16, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.8775, top5_acc: 0.9775, loss_cls: 4.1055, loss: 4.1055 2025-04-29 22:03:40,535 - pyskl - INFO - Epoch [111][600/1027] lr: 4.023e-03, eta: 5:21:28, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.8850, top5_acc: 0.9794, loss_cls: 4.0404, loss: 4.0404 2025-04-29 22:04:27,296 - pyskl - INFO - Epoch [111][700/1027] lr: 4.004e-03, eta: 5:20:40, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.8756, top5_acc: 0.9769, loss_cls: 4.0605, loss: 4.0605 2025-04-29 22:05:14,651 - pyskl - INFO - Epoch [111][800/1027] lr: 3.986e-03, eta: 5:19:52, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.8588, top5_acc: 0.9656, loss_cls: 4.2712, loss: 4.2712 2025-04-29 22:06:01,817 - pyskl - INFO - Epoch [111][900/1027] lr: 3.967e-03, eta: 5:19:04, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.8581, top5_acc: 0.9656, loss_cls: 4.2255, loss: 4.2255 2025-04-29 22:06:49,067 - pyskl - INFO - Epoch [111][1000/1027] lr: 3.948e-03, eta: 5:18:17, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.8481, top5_acc: 0.9650, loss_cls: 4.1914, loss: 4.1914 2025-04-29 22:07:02,506 - pyskl - INFO - Saving checkpoint at 111 epochs 2025-04-29 22:07:43,555 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 22:07:43,630 - pyskl - INFO - top1_acc 0.5921 top5_acc 0.8551 2025-04-29 22:07:43,631 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 22:07:43,639 - pyskl - INFO - mean_acc 0.5972 2025-04-29 22:07:43,641 - pyskl - INFO - Epoch(val) [111][413] top1_acc: 0.5921, top5_acc: 0.8551, mean_class_accuracy: 0.5972 2025-04-29 22:08:50,071 - pyskl - INFO - Epoch [112][100/1027] lr: 3.925e-03, eta: 5:17:18, time: 0.664, data_time: 0.283, memory: 7959, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 3.9809, loss: 3.9809 2025-04-29 22:09:33,182 - pyskl - INFO - Epoch [112][200/1027] lr: 3.906e-03, eta: 5:16:29, time: 0.431, data_time: 0.000, memory: 7959, top1_acc: 0.9081, top5_acc: 0.9881, loss_cls: 3.9495, loss: 3.9495 2025-04-29 22:10:18,072 - pyskl - INFO - Epoch [112][300/1027] lr: 3.888e-03, eta: 5:15:40, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.8862, top5_acc: 0.9825, loss_cls: 4.0484, loss: 4.0484 2025-04-29 22:11:04,516 - pyskl - INFO - Epoch [112][400/1027] lr: 3.869e-03, eta: 5:14:52, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 3.8331, loss: 3.8331 2025-04-29 22:11:50,748 - pyskl - INFO - Epoch [112][500/1027] lr: 3.851e-03, eta: 5:14:04, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.8925, top5_acc: 0.9794, loss_cls: 3.9595, loss: 3.9595 2025-04-29 22:12:38,008 - pyskl - INFO - Epoch [112][600/1027] lr: 3.832e-03, eta: 5:13:16, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 4.1095, loss: 4.1095 2025-04-29 22:13:25,301 - pyskl - INFO - Epoch [112][700/1027] lr: 3.814e-03, eta: 5:12:29, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.8706, top5_acc: 0.9850, loss_cls: 4.0682, loss: 4.0682 2025-04-29 22:14:12,194 - pyskl - INFO - Epoch [112][800/1027] lr: 3.796e-03, eta: 5:11:41, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.8625, top5_acc: 0.9750, loss_cls: 4.2430, loss: 4.2430 2025-04-29 22:14:58,642 - pyskl - INFO - Epoch [112][900/1027] lr: 3.778e-03, eta: 5:10:53, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.8806, top5_acc: 0.9806, loss_cls: 4.0252, loss: 4.0252 2025-04-29 22:15:46,368 - pyskl - INFO - Epoch [112][1000/1027] lr: 3.759e-03, eta: 5:10:05, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.8669, top5_acc: 0.9738, loss_cls: 4.0966, loss: 4.0966 2025-04-29 22:15:59,791 - pyskl - INFO - Saving checkpoint at 112 epochs 2025-04-29 22:16:40,329 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 22:16:40,400 - pyskl - INFO - top1_acc 0.5874 top5_acc 0.8476 2025-04-29 22:16:40,400 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 22:16:40,408 - pyskl - INFO - mean_acc 0.5905 2025-04-29 22:16:40,409 - pyskl - INFO - Epoch(val) [112][413] top1_acc: 0.5874, top5_acc: 0.8476, mean_class_accuracy: 0.5905 2025-04-29 22:17:45,340 - pyskl - INFO - Epoch [113][100/1027] lr: 3.736e-03, eta: 5:09:06, time: 0.649, data_time: 0.269, memory: 7959, top1_acc: 0.9094, top5_acc: 0.9844, loss_cls: 3.9208, loss: 3.9208 2025-04-29 22:18:28,356 - pyskl - INFO - Epoch [113][200/1027] lr: 3.718e-03, eta: 5:08:17, time: 0.430, data_time: 0.000, memory: 7959, top1_acc: 0.9087, top5_acc: 0.9881, loss_cls: 3.9186, loss: 3.9186 2025-04-29 22:19:13,792 - pyskl - INFO - Epoch [113][300/1027] lr: 3.700e-03, eta: 5:07:28, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 3.8496, loss: 3.8496 2025-04-29 22:19:59,317 - pyskl - INFO - Epoch [113][400/1027] lr: 3.682e-03, eta: 5:06:40, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 3.8269, loss: 3.8269 2025-04-29 22:20:44,801 - pyskl - INFO - Epoch [113][500/1027] lr: 3.664e-03, eta: 5:05:52, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.8912, top5_acc: 0.9794, loss_cls: 3.8706, loss: 3.8706 2025-04-29 22:21:31,683 - pyskl - INFO - Epoch [113][600/1027] lr: 3.646e-03, eta: 5:05:04, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.8869, top5_acc: 0.9800, loss_cls: 3.9798, loss: 3.9798 2025-04-29 22:22:18,448 - pyskl - INFO - Epoch [113][700/1027] lr: 3.628e-03, eta: 5:04:16, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.8844, top5_acc: 0.9806, loss_cls: 3.9225, loss: 3.9225 2025-04-29 22:23:05,131 - pyskl - INFO - Epoch [113][800/1027] lr: 3.610e-03, eta: 5:03:28, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.8912, top5_acc: 0.9806, loss_cls: 4.0907, loss: 4.0907 2025-04-29 22:23:52,661 - pyskl - INFO - Epoch [113][900/1027] lr: 3.592e-03, eta: 5:02:40, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.8819, top5_acc: 0.9738, loss_cls: 4.2241, loss: 4.2241 2025-04-29 22:24:39,363 - pyskl - INFO - Epoch [113][1000/1027] lr: 3.574e-03, eta: 5:01:52, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.8800, top5_acc: 0.9819, loss_cls: 4.1574, loss: 4.1574 2025-04-29 22:24:52,638 - pyskl - INFO - Saving checkpoint at 113 epochs 2025-04-29 22:25:32,641 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 22:25:32,714 - pyskl - INFO - top1_acc 0.5927 top5_acc 0.8463 2025-04-29 22:25:32,714 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 22:25:32,722 - pyskl - INFO - mean_acc 0.5921 2025-04-29 22:25:32,723 - pyskl - INFO - Epoch(val) [113][413] top1_acc: 0.5927, top5_acc: 0.8463, mean_class_accuracy: 0.5921 2025-04-29 22:26:38,033 - pyskl - INFO - Epoch [114][100/1027] lr: 3.551e-03, eta: 5:00:53, time: 0.653, data_time: 0.270, memory: 7959, top1_acc: 0.9187, top5_acc: 0.9862, loss_cls: 3.8114, loss: 3.8114 2025-04-29 22:27:21,727 - pyskl - INFO - Epoch [114][200/1027] lr: 3.534e-03, eta: 5:00:05, time: 0.437, data_time: 0.000, memory: 7959, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 3.7574, loss: 3.7574 2025-04-29 22:28:07,455 - pyskl - INFO - Epoch [114][300/1027] lr: 3.516e-03, eta: 4:59:16, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.9125, top5_acc: 0.9850, loss_cls: 3.8425, loss: 3.8425 2025-04-29 22:28:53,559 - pyskl - INFO - Epoch [114][400/1027] lr: 3.498e-03, eta: 4:58:28, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.9113, top5_acc: 0.9831, loss_cls: 3.8939, loss: 3.8939 2025-04-29 22:29:39,889 - pyskl - INFO - Epoch [114][500/1027] lr: 3.481e-03, eta: 4:57:40, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9250, top5_acc: 0.9862, loss_cls: 3.7668, loss: 3.7668 2025-04-29 22:30:27,413 - pyskl - INFO - Epoch [114][600/1027] lr: 3.463e-03, eta: 4:56:52, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.8938, top5_acc: 0.9838, loss_cls: 3.8282, loss: 3.8282 2025-04-29 22:31:13,002 - pyskl - INFO - Epoch [114][700/1027] lr: 3.445e-03, eta: 4:56:04, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.9075, top5_acc: 0.9869, loss_cls: 3.8089, loss: 3.8089 2025-04-29 22:31:59,688 - pyskl - INFO - Epoch [114][800/1027] lr: 3.428e-03, eta: 4:55:16, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 3.9445, loss: 3.9445 2025-04-29 22:32:47,398 - pyskl - INFO - Epoch [114][900/1027] lr: 3.410e-03, eta: 4:54:29, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.8912, top5_acc: 0.9831, loss_cls: 4.0294, loss: 4.0294 2025-04-29 22:33:33,454 - pyskl - INFO - Epoch [114][1000/1027] lr: 3.393e-03, eta: 4:53:41, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.8956, top5_acc: 0.9850, loss_cls: 3.9735, loss: 3.9735 2025-04-29 22:33:46,587 - pyskl - INFO - Saving checkpoint at 114 epochs 2025-04-29 22:34:26,560 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 22:34:26,635 - pyskl - INFO - top1_acc 0.6008 top5_acc 0.8492 2025-04-29 22:34:26,635 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 22:34:26,644 - pyskl - INFO - mean_acc 0.6018 2025-04-29 22:34:26,705 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_110.pth was removed 2025-04-29 22:34:28,339 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. 2025-04-29 22:34:28,341 - pyskl - INFO - Best top1_acc is 0.6008 at 114 epoch. 2025-04-29 22:34:28,344 - pyskl - INFO - Epoch(val) [114][413] top1_acc: 0.6008, top5_acc: 0.8492, mean_class_accuracy: 0.6018 2025-04-29 22:35:32,424 - pyskl - INFO - Epoch [115][100/1027] lr: 3.371e-03, eta: 4:52:41, time: 0.641, data_time: 0.261, memory: 7959, top1_acc: 0.9244, top5_acc: 0.9912, loss_cls: 3.7506, loss: 3.7506 2025-04-29 22:36:14,272 - pyskl - INFO - Epoch [115][200/1027] lr: 3.353e-03, eta: 4:51:52, time: 0.418, data_time: 0.000, memory: 7959, top1_acc: 0.9263, top5_acc: 0.9906, loss_cls: 3.7871, loss: 3.7871 2025-04-29 22:36:59,436 - pyskl - INFO - Epoch [115][300/1027] lr: 3.336e-03, eta: 4:51:03, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.9231, top5_acc: 0.9888, loss_cls: 3.7662, loss: 3.7662 2025-04-29 22:37:46,306 - pyskl - INFO - Epoch [115][400/1027] lr: 3.319e-03, eta: 4:50:15, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9113, top5_acc: 0.9825, loss_cls: 3.8483, loss: 3.8483 2025-04-29 22:38:32,372 - pyskl - INFO - Epoch [115][500/1027] lr: 3.301e-03, eta: 4:49:27, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 3.8585, loss: 3.8585 2025-04-29 22:39:19,002 - pyskl - INFO - Epoch [115][600/1027] lr: 3.284e-03, eta: 4:48:39, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 3.8352, loss: 3.8352 2025-04-29 22:40:06,369 - pyskl - INFO - Epoch [115][700/1027] lr: 3.267e-03, eta: 4:47:52, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9019, top5_acc: 0.9856, loss_cls: 3.8436, loss: 3.8436 2025-04-29 22:40:53,374 - pyskl - INFO - Epoch [115][800/1027] lr: 3.250e-03, eta: 4:47:04, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9069, top5_acc: 0.9938, loss_cls: 3.8224, loss: 3.8224 2025-04-29 22:41:42,087 - pyskl - INFO - Epoch [115][900/1027] lr: 3.233e-03, eta: 4:46:17, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.8994, top5_acc: 0.9869, loss_cls: 3.8173, loss: 3.8173 2025-04-29 22:42:31,459 - pyskl - INFO - Epoch [115][1000/1027] lr: 3.215e-03, eta: 4:45:30, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.8956, top5_acc: 0.9844, loss_cls: 3.8786, loss: 3.8786 2025-04-29 22:42:46,056 - pyskl - INFO - Saving checkpoint at 115 epochs 2025-04-29 22:43:27,341 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 22:43:27,413 - pyskl - INFO - top1_acc 0.5969 top5_acc 0.8521 2025-04-29 22:43:27,414 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 22:43:27,422 - pyskl - INFO - mean_acc 0.6032 2025-04-29 22:43:27,423 - pyskl - INFO - Epoch(val) [115][413] top1_acc: 0.5969, top5_acc: 0.8521, mean_class_accuracy: 0.6032 2025-04-29 22:44:32,730 - pyskl - INFO - Epoch [116][100/1027] lr: 3.194e-03, eta: 4:44:31, time: 0.653, data_time: 0.257, memory: 7959, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 3.7283, loss: 3.7283 2025-04-29 22:45:18,307 - pyskl - INFO - Epoch [116][200/1027] lr: 3.177e-03, eta: 4:43:42, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.9381, top5_acc: 0.9919, loss_cls: 3.7617, loss: 3.7617 2025-04-29 22:46:06,669 - pyskl - INFO - Epoch [116][300/1027] lr: 3.160e-03, eta: 4:42:55, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 3.8437, loss: 3.8437 2025-04-29 22:46:54,332 - pyskl - INFO - Epoch [116][400/1027] lr: 3.143e-03, eta: 4:42:07, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9363, top5_acc: 0.9888, loss_cls: 3.7656, loss: 3.7656 2025-04-29 22:47:41,876 - pyskl - INFO - Epoch [116][500/1027] lr: 3.126e-03, eta: 4:41:20, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9225, top5_acc: 0.9888, loss_cls: 3.9031, loss: 3.9031 2025-04-29 22:48:30,395 - pyskl - INFO - Epoch [116][600/1027] lr: 3.109e-03, eta: 4:40:32, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 3.7606, loss: 3.7606 2025-04-29 22:49:20,721 - pyskl - INFO - Epoch [116][700/1027] lr: 3.092e-03, eta: 4:39:45, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.9325, top5_acc: 0.9906, loss_cls: 3.8367, loss: 3.8367 2025-04-29 22:50:10,585 - pyskl - INFO - Epoch [116][800/1027] lr: 3.076e-03, eta: 4:38:59, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.9019, top5_acc: 0.9862, loss_cls: 3.6522, loss: 3.6522 2025-04-29 22:51:01,423 - pyskl - INFO - Epoch [116][900/1027] lr: 3.059e-03, eta: 4:38:12, time: 0.508, data_time: 0.000, memory: 7959, top1_acc: 0.9044, top5_acc: 0.9875, loss_cls: 3.8336, loss: 3.8336 2025-04-29 22:51:51,123 - pyskl - INFO - Epoch [116][1000/1027] lr: 3.042e-03, eta: 4:37:25, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 3.8430, loss: 3.8430 2025-04-29 22:52:05,614 - pyskl - INFO - Saving checkpoint at 116 epochs 2025-04-29 22:52:46,879 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 22:52:46,956 - pyskl - INFO - top1_acc 0.5927 top5_acc 0.8527 2025-04-29 22:52:46,957 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 22:52:46,965 - pyskl - INFO - mean_acc 0.5934 2025-04-29 22:52:46,966 - pyskl - INFO - Epoch(val) [116][413] top1_acc: 0.5927, top5_acc: 0.8527, mean_class_accuracy: 0.5934 2025-04-29 22:53:53,385 - pyskl - INFO - Epoch [117][100/1027] lr: 3.021e-03, eta: 4:36:26, time: 0.664, data_time: 0.271, memory: 7959, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 3.7053, loss: 3.7053 2025-04-29 22:54:37,539 - pyskl - INFO - Epoch [117][200/1027] lr: 3.004e-03, eta: 4:35:37, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.9375, top5_acc: 0.9931, loss_cls: 3.6305, loss: 3.6305 2025-04-29 22:55:22,567 - pyskl - INFO - Epoch [117][300/1027] lr: 2.988e-03, eta: 4:34:49, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 3.7705, loss: 3.7705 2025-04-29 22:56:09,061 - pyskl - INFO - Epoch [117][400/1027] lr: 2.971e-03, eta: 4:34:01, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.9356, top5_acc: 0.9919, loss_cls: 3.6868, loss: 3.6868 2025-04-29 22:56:55,932 - pyskl - INFO - Epoch [117][500/1027] lr: 2.955e-03, eta: 4:33:13, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 3.7237, loss: 3.7237 2025-04-29 22:57:43,565 - pyskl - INFO - Epoch [117][600/1027] lr: 2.938e-03, eta: 4:32:26, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9181, top5_acc: 0.9888, loss_cls: 3.7009, loss: 3.7009 2025-04-29 22:58:29,784 - pyskl - INFO - Epoch [117][700/1027] lr: 2.922e-03, eta: 4:31:38, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9256, top5_acc: 0.9906, loss_cls: 3.6694, loss: 3.6694 2025-04-29 22:59:17,279 - pyskl - INFO - Epoch [117][800/1027] lr: 2.906e-03, eta: 4:30:50, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9281, top5_acc: 0.9912, loss_cls: 3.7635, loss: 3.7635 2025-04-29 23:00:04,250 - pyskl - INFO - Epoch [117][900/1027] lr: 2.889e-03, eta: 4:30:02, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9156, top5_acc: 0.9862, loss_cls: 3.9181, loss: 3.9181 2025-04-29 23:00:51,650 - pyskl - INFO - Epoch [117][1000/1027] lr: 2.873e-03, eta: 4:29:14, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9175, top5_acc: 0.9888, loss_cls: 3.7735, loss: 3.7735 2025-04-29 23:01:05,223 - pyskl - INFO - Saving checkpoint at 117 epochs 2025-04-29 23:01:45,193 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 23:01:45,270 - pyskl - INFO - top1_acc 0.5774 top5_acc 0.8388 2025-04-29 23:01:45,270 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 23:01:45,279 - pyskl - INFO - mean_acc 0.5781 2025-04-29 23:01:45,281 - pyskl - INFO - Epoch(val) [117][413] top1_acc: 0.5774, top5_acc: 0.8388, mean_class_accuracy: 0.5781 2025-04-29 23:02:49,594 - pyskl - INFO - Epoch [118][100/1027] lr: 2.853e-03, eta: 4:28:15, time: 0.643, data_time: 0.258, memory: 7959, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 3.6293, loss: 3.6293 2025-04-29 23:03:33,308 - pyskl - INFO - Epoch [118][200/1027] lr: 2.836e-03, eta: 4:27:26, time: 0.437, data_time: 0.000, memory: 7959, top1_acc: 0.9506, top5_acc: 0.9925, loss_cls: 3.5745, loss: 3.5745 2025-04-29 23:04:19,124 - pyskl - INFO - Epoch [118][300/1027] lr: 2.820e-03, eta: 4:26:38, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 3.5482, loss: 3.5482 2025-04-29 23:05:05,760 - pyskl - INFO - Epoch [118][400/1027] lr: 2.804e-03, eta: 4:25:50, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9431, top5_acc: 0.9925, loss_cls: 3.7234, loss: 3.7234 2025-04-29 23:05:52,181 - pyskl - INFO - Epoch [118][500/1027] lr: 2.788e-03, eta: 4:25:02, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 3.6868, loss: 3.6868 2025-04-29 23:06:39,421 - pyskl - INFO - Epoch [118][600/1027] lr: 2.772e-03, eta: 4:24:14, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 3.6608, loss: 3.6608 2025-04-29 23:07:25,830 - pyskl - INFO - Epoch [118][700/1027] lr: 2.756e-03, eta: 4:23:27, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 3.6780, loss: 3.6780 2025-04-29 23:08:13,064 - pyskl - INFO - Epoch [118][800/1027] lr: 2.740e-03, eta: 4:22:39, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9369, top5_acc: 0.9912, loss_cls: 3.6367, loss: 3.6367 2025-04-29 23:08:59,609 - pyskl - INFO - Epoch [118][900/1027] lr: 2.724e-03, eta: 4:21:51, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 3.6408, loss: 3.6408 2025-04-29 23:09:44,987 - pyskl - INFO - Epoch [118][1000/1027] lr: 2.708e-03, eta: 4:21:03, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.9419, top5_acc: 0.9906, loss_cls: 3.7162, loss: 3.7162 2025-04-29 23:09:58,697 - pyskl - INFO - Saving checkpoint at 118 epochs 2025-04-29 23:10:38,470 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 23:10:38,544 - pyskl - INFO - top1_acc 0.5937 top5_acc 0.8474 2025-04-29 23:10:38,544 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 23:10:38,554 - pyskl - INFO - mean_acc 0.5934 2025-04-29 23:10:38,556 - pyskl - INFO - Epoch(val) [118][413] top1_acc: 0.5937, top5_acc: 0.8474, mean_class_accuracy: 0.5934 2025-04-29 23:11:42,988 - pyskl - INFO - Epoch [119][100/1027] lr: 2.688e-03, eta: 4:20:03, time: 0.644, data_time: 0.263, memory: 7959, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 3.5824, loss: 3.5824 2025-04-29 23:12:26,407 - pyskl - INFO - Epoch [119][200/1027] lr: 2.672e-03, eta: 4:19:14, time: 0.434, data_time: 0.000, memory: 7959, top1_acc: 0.9569, top5_acc: 0.9956, loss_cls: 3.6651, loss: 3.6651 2025-04-29 23:13:12,062 - pyskl - INFO - Epoch [119][300/1027] lr: 2.657e-03, eta: 4:18:26, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 3.5719, loss: 3.5719 2025-04-29 23:13:57,709 - pyskl - INFO - Epoch [119][400/1027] lr: 2.641e-03, eta: 4:17:38, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 3.6168, loss: 3.6168 2025-04-29 23:14:44,789 - pyskl - INFO - Epoch [119][500/1027] lr: 2.625e-03, eta: 4:16:50, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 3.5648, loss: 3.5648 2025-04-29 23:15:30,562 - pyskl - INFO - Epoch [119][600/1027] lr: 2.610e-03, eta: 4:16:02, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.9487, top5_acc: 0.9925, loss_cls: 3.5628, loss: 3.5628 2025-04-29 23:16:18,391 - pyskl - INFO - Epoch [119][700/1027] lr: 2.594e-03, eta: 4:15:15, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 3.6320, loss: 3.6320 2025-04-29 23:17:05,203 - pyskl - INFO - Epoch [119][800/1027] lr: 2.579e-03, eta: 4:14:27, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9506, top5_acc: 0.9938, loss_cls: 3.6414, loss: 3.6414 2025-04-29 23:17:52,477 - pyskl - INFO - Epoch [119][900/1027] lr: 2.563e-03, eta: 4:13:39, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9306, top5_acc: 0.9881, loss_cls: 3.6424, loss: 3.6424 2025-04-29 23:18:38,657 - pyskl - INFO - Epoch [119][1000/1027] lr: 2.548e-03, eta: 4:12:51, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 3.5318, loss: 3.5318 2025-04-29 23:18:52,448 - pyskl - INFO - Saving checkpoint at 119 epochs 2025-04-29 23:19:32,306 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 23:19:32,379 - pyskl - INFO - top1_acc 0.6072 top5_acc 0.8557 2025-04-29 23:19:32,379 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 23:19:32,388 - pyskl - INFO - mean_acc 0.6095 2025-04-29 23:19:32,444 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_114.pth was removed 2025-04-29 23:19:34,202 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. 2025-04-29 23:19:34,204 - pyskl - INFO - Best top1_acc is 0.6072 at 119 epoch. 2025-04-29 23:19:34,209 - pyskl - INFO - Epoch(val) [119][413] top1_acc: 0.6072, top5_acc: 0.8557, mean_class_accuracy: 0.6095 2025-04-29 23:20:38,555 - pyskl - INFO - Epoch [120][100/1027] lr: 2.528e-03, eta: 4:11:52, time: 0.643, data_time: 0.266, memory: 7959, top1_acc: 0.9556, top5_acc: 0.9938, loss_cls: 3.4200, loss: 3.4200 2025-04-29 23:21:21,560 - pyskl - INFO - Epoch [120][200/1027] lr: 2.513e-03, eta: 4:11:03, time: 0.430, data_time: 0.000, memory: 7959, top1_acc: 0.9531, top5_acc: 0.9931, loss_cls: 3.5778, loss: 3.5778 2025-04-29 23:22:06,236 - pyskl - INFO - Epoch [120][300/1027] lr: 2.497e-03, eta: 4:10:15, time: 0.447, data_time: 0.000, memory: 7959, top1_acc: 0.9631, top5_acc: 0.9956, loss_cls: 3.4836, loss: 3.4836 2025-04-29 23:22:51,376 - pyskl - INFO - Epoch [120][400/1027] lr: 2.482e-03, eta: 4:09:26, time: 0.451, data_time: 0.000, memory: 7959, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 3.4058, loss: 3.4058 2025-04-29 23:23:37,076 - pyskl - INFO - Epoch [120][500/1027] lr: 2.467e-03, eta: 4:08:38, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 3.4552, loss: 3.4552 2025-04-29 23:24:22,669 - pyskl - INFO - Epoch [120][600/1027] lr: 2.452e-03, eta: 4:07:50, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 3.5577, loss: 3.5577 2025-04-29 23:25:09,452 - pyskl - INFO - Epoch [120][700/1027] lr: 2.437e-03, eta: 4:07:02, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 3.4940, loss: 3.4940 2025-04-29 23:25:55,634 - pyskl - INFO - Epoch [120][800/1027] lr: 2.422e-03, eta: 4:06:14, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 3.4594, loss: 3.4594 2025-04-29 23:26:42,818 - pyskl - INFO - Epoch [120][900/1027] lr: 2.407e-03, eta: 4:05:27, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 3.6505, loss: 3.6505 2025-04-29 23:27:29,842 - pyskl - INFO - Epoch [120][1000/1027] lr: 2.391e-03, eta: 4:04:39, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9463, top5_acc: 0.9938, loss_cls: 3.6008, loss: 3.6008 2025-04-29 23:27:43,387 - pyskl - INFO - Saving checkpoint at 120 epochs 2025-04-29 23:28:23,158 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 23:28:23,232 - pyskl - INFO - top1_acc 0.6115 top5_acc 0.8544 2025-04-29 23:28:23,232 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 23:28:23,242 - pyskl - INFO - mean_acc 0.6145 2025-04-29 23:28:23,305 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_119.pth was removed 2025-04-29 23:28:24,930 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. 2025-04-29 23:28:24,931 - pyskl - INFO - Best top1_acc is 0.6115 at 120 epoch. 2025-04-29 23:28:24,934 - pyskl - INFO - Epoch(val) [120][413] top1_acc: 0.6115, top5_acc: 0.8544, mean_class_accuracy: 0.6145 2025-04-29 23:29:28,862 - pyskl - INFO - Epoch [121][100/1027] lr: 2.372e-03, eta: 4:03:39, time: 0.639, data_time: 0.260, memory: 7959, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 3.3778, loss: 3.3778 2025-04-29 23:30:11,810 - pyskl - INFO - Epoch [121][200/1027] lr: 2.358e-03, eta: 4:02:51, time: 0.429, data_time: 0.000, memory: 7959, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 3.2845, loss: 3.2845 2025-04-29 23:30:57,420 - pyskl - INFO - Epoch [121][300/1027] lr: 2.343e-03, eta: 4:02:02, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 3.4238, loss: 3.4238 2025-04-29 23:31:43,330 - pyskl - INFO - Epoch [121][400/1027] lr: 2.328e-03, eta: 4:01:14, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.9625, top5_acc: 0.9956, loss_cls: 3.5653, loss: 3.5653 2025-04-29 23:32:29,634 - pyskl - INFO - Epoch [121][500/1027] lr: 2.313e-03, eta: 4:00:26, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 3.4858, loss: 3.4858 2025-04-29 23:33:15,961 - pyskl - INFO - Epoch [121][600/1027] lr: 2.298e-03, eta: 3:59:39, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 3.5017, loss: 3.5017 2025-04-29 23:34:02,528 - pyskl - INFO - Epoch [121][700/1027] lr: 2.284e-03, eta: 3:58:51, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 3.6210, loss: 3.6210 2025-04-29 23:34:49,350 - pyskl - INFO - Epoch [121][800/1027] lr: 2.269e-03, eta: 3:58:03, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 3.5796, loss: 3.5796 2025-04-29 23:35:36,506 - pyskl - INFO - Epoch [121][900/1027] lr: 2.254e-03, eta: 3:57:15, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9600, top5_acc: 0.9938, loss_cls: 3.5523, loss: 3.5523 2025-04-29 23:36:22,017 - pyskl - INFO - Epoch [121][1000/1027] lr: 2.240e-03, eta: 3:56:27, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 3.5391, loss: 3.5391 2025-04-29 23:36:35,210 - pyskl - INFO - Saving checkpoint at 121 epochs 2025-04-29 23:37:14,771 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 23:37:14,855 - pyskl - INFO - top1_acc 0.6078 top5_acc 0.8548 2025-04-29 23:37:14,856 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 23:37:14,864 - pyskl - INFO - mean_acc 0.6129 2025-04-29 23:37:14,867 - pyskl - INFO - Epoch(val) [121][413] top1_acc: 0.6078, top5_acc: 0.8548, mean_class_accuracy: 0.6129 2025-04-29 23:38:19,154 - pyskl - INFO - Epoch [122][100/1027] lr: 2.221e-03, eta: 3:55:28, time: 0.643, data_time: 0.261, memory: 7959, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 3.3926, loss: 3.3926 2025-04-29 23:39:02,043 - pyskl - INFO - Epoch [122][200/1027] lr: 2.207e-03, eta: 3:54:39, time: 0.429, data_time: 0.000, memory: 7959, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 3.3813, loss: 3.3813 2025-04-29 23:39:46,137 - pyskl - INFO - Epoch [122][300/1027] lr: 2.192e-03, eta: 3:53:50, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 3.4649, loss: 3.4649 2025-04-29 23:40:33,329 - pyskl - INFO - Epoch [122][400/1027] lr: 2.178e-03, eta: 3:53:03, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 3.3735, loss: 3.3735 2025-04-29 23:41:22,954 - pyskl - INFO - Epoch [122][500/1027] lr: 2.164e-03, eta: 3:52:16, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 3.3289, loss: 3.3289 2025-04-29 23:42:12,385 - pyskl - INFO - Epoch [122][600/1027] lr: 2.149e-03, eta: 3:51:29, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 3.2996, loss: 3.2996 2025-04-29 23:43:01,850 - pyskl - INFO - Epoch [122][700/1027] lr: 2.135e-03, eta: 3:50:41, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 3.3897, loss: 3.3897 2025-04-29 23:43:52,122 - pyskl - INFO - Epoch [122][800/1027] lr: 2.121e-03, eta: 3:49:54, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 3.4403, loss: 3.4403 2025-04-29 23:44:41,677 - pyskl - INFO - Epoch [122][900/1027] lr: 2.107e-03, eta: 3:49:07, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 3.3735, loss: 3.3735 2025-04-29 23:45:31,109 - pyskl - INFO - Epoch [122][1000/1027] lr: 2.092e-03, eta: 3:48:20, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 3.5109, loss: 3.5109 2025-04-29 23:45:45,201 - pyskl - INFO - Saving checkpoint at 122 epochs 2025-04-29 23:46:26,479 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 23:46:26,557 - pyskl - INFO - top1_acc 0.6042 top5_acc 0.8471 2025-04-29 23:46:26,557 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 23:46:26,567 - pyskl - INFO - mean_acc 0.6093 2025-04-29 23:46:26,569 - pyskl - INFO - Epoch(val) [122][413] top1_acc: 0.6042, top5_acc: 0.8471, mean_class_accuracy: 0.6093 2025-04-29 23:47:36,506 - pyskl - INFO - Epoch [123][100/1027] lr: 2.075e-03, eta: 3:47:22, time: 0.699, data_time: 0.301, memory: 7959, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 3.2857, loss: 3.2857 2025-04-29 23:48:22,278 - pyskl - INFO - Epoch [123][200/1027] lr: 2.060e-03, eta: 3:46:34, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 3.2903, loss: 3.2903 2025-04-29 23:49:10,415 - pyskl - INFO - Epoch [123][300/1027] lr: 2.046e-03, eta: 3:45:46, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 3.3517, loss: 3.3517 2025-04-29 23:50:00,010 - pyskl - INFO - Epoch [123][400/1027] lr: 2.033e-03, eta: 3:44:59, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 3.2969, loss: 3.2969 2025-04-29 23:50:50,497 - pyskl - INFO - Epoch [123][500/1027] lr: 2.019e-03, eta: 3:44:12, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 3.4251, loss: 3.4251 2025-04-29 23:51:41,219 - pyskl - INFO - Epoch [123][600/1027] lr: 2.005e-03, eta: 3:43:25, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 3.3745, loss: 3.3745 2025-04-29 23:52:31,219 - pyskl - INFO - Epoch [123][700/1027] lr: 1.991e-03, eta: 3:42:38, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 3.3780, loss: 3.3780 2025-04-29 23:53:20,187 - pyskl - INFO - Epoch [123][800/1027] lr: 1.977e-03, eta: 3:41:51, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 3.4008, loss: 3.4008 2025-04-29 23:54:08,713 - pyskl - INFO - Epoch [123][900/1027] lr: 1.963e-03, eta: 3:41:03, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 3.4009, loss: 3.4009 2025-04-29 23:54:57,538 - pyskl - INFO - Epoch [123][1000/1027] lr: 1.950e-03, eta: 3:40:16, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 3.4849, loss: 3.4849 2025-04-29 23:55:10,822 - pyskl - INFO - Saving checkpoint at 123 epochs 2025-04-29 23:55:51,563 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-29 23:55:51,635 - pyskl - INFO - top1_acc 0.6172 top5_acc 0.8550 2025-04-29 23:55:51,635 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-29 23:55:51,644 - pyskl - INFO - mean_acc 0.6231 2025-04-29 23:55:51,709 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_120.pth was removed 2025-04-29 23:55:53,364 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. 2025-04-29 23:55:53,366 - pyskl - INFO - Best top1_acc is 0.6172 at 123 epoch. 2025-04-29 23:55:53,371 - pyskl - INFO - Epoch(val) [123][413] top1_acc: 0.6172, top5_acc: 0.8550, mean_class_accuracy: 0.6231 2025-04-29 23:56:59,016 - pyskl - INFO - Epoch [124][100/1027] lr: 1.932e-03, eta: 3:39:17, time: 0.656, data_time: 0.266, memory: 7959, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 3.3099, loss: 3.3099 2025-04-29 23:57:43,132 - pyskl - INFO - Epoch [124][200/1027] lr: 1.919e-03, eta: 3:38:28, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 3.4470, loss: 3.4470 2025-04-29 23:58:29,593 - pyskl - INFO - Epoch [124][300/1027] lr: 1.905e-03, eta: 3:37:40, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 3.4380, loss: 3.4380 2025-04-29 23:59:16,845 - pyskl - INFO - Epoch [124][400/1027] lr: 1.892e-03, eta: 3:36:53, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 3.2860, loss: 3.2860 2025-04-30 00:00:05,435 - pyskl - INFO - Epoch [124][500/1027] lr: 1.878e-03, eta: 3:36:05, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 3.2151, loss: 3.2151 2025-04-30 00:00:53,617 - pyskl - INFO - Epoch [124][600/1027] lr: 1.865e-03, eta: 3:35:18, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 3.3316, loss: 3.3316 2025-04-30 00:01:41,713 - pyskl - INFO - Epoch [124][700/1027] lr: 1.851e-03, eta: 3:34:30, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 3.2925, loss: 3.2925 2025-04-30 00:02:29,689 - pyskl - INFO - Epoch [124][800/1027] lr: 1.838e-03, eta: 3:33:43, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 3.2270, loss: 3.2270 2025-04-30 00:03:16,305 - pyskl - INFO - Epoch [124][900/1027] lr: 1.825e-03, eta: 3:32:55, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 3.3052, loss: 3.3052 2025-04-30 00:04:02,418 - pyskl - INFO - Epoch [124][1000/1027] lr: 1.812e-03, eta: 3:32:07, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 3.4081, loss: 3.4081 2025-04-30 00:04:15,964 - pyskl - INFO - Saving checkpoint at 124 epochs 2025-04-30 00:04:56,296 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 00:04:56,369 - pyskl - INFO - top1_acc 0.6128 top5_acc 0.8548 2025-04-30 00:04:56,369 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 00:04:56,378 - pyskl - INFO - mean_acc 0.6153 2025-04-30 00:04:56,380 - pyskl - INFO - Epoch(val) [124][413] top1_acc: 0.6128, top5_acc: 0.8548, mean_class_accuracy: 0.6153 2025-04-30 00:06:00,957 - pyskl - INFO - Epoch [125][100/1027] lr: 1.795e-03, eta: 3:31:07, time: 0.646, data_time: 0.267, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 3.2033, loss: 3.2033 2025-04-30 00:06:44,524 - pyskl - INFO - Epoch [125][200/1027] lr: 1.782e-03, eta: 3:30:19, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 3.2190, loss: 3.2190 2025-04-30 00:07:30,251 - pyskl - INFO - Epoch [125][300/1027] lr: 1.769e-03, eta: 3:29:31, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 3.2040, loss: 3.2040 2025-04-30 00:08:16,939 - pyskl - INFO - Epoch [125][400/1027] lr: 1.756e-03, eta: 3:28:43, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 3.3019, loss: 3.3019 2025-04-30 00:09:03,652 - pyskl - INFO - Epoch [125][500/1027] lr: 1.743e-03, eta: 3:27:55, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 3.3099, loss: 3.3099 2025-04-30 00:09:50,165 - pyskl - INFO - Epoch [125][600/1027] lr: 1.730e-03, eta: 3:27:08, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 3.3514, loss: 3.3514 2025-04-30 00:10:36,770 - pyskl - INFO - Epoch [125][700/1027] lr: 1.717e-03, eta: 3:26:20, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 3.2438, loss: 3.2438 2025-04-30 00:11:23,382 - pyskl - INFO - Epoch [125][800/1027] lr: 1.704e-03, eta: 3:25:32, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 3.3508, loss: 3.3508 2025-04-30 00:12:10,673 - pyskl - INFO - Epoch [125][900/1027] lr: 1.691e-03, eta: 3:24:44, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 3.1568, loss: 3.1568 2025-04-30 00:12:56,199 - pyskl - INFO - Epoch [125][1000/1027] lr: 1.678e-03, eta: 3:23:56, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 3.3659, loss: 3.3659 2025-04-30 00:13:10,255 - pyskl - INFO - Saving checkpoint at 125 epochs 2025-04-30 00:13:50,537 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 00:13:50,611 - pyskl - INFO - top1_acc 0.6140 top5_acc 0.8523 2025-04-30 00:13:50,612 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 00:13:50,621 - pyskl - INFO - mean_acc 0.6212 2025-04-30 00:13:50,623 - pyskl - INFO - Epoch(val) [125][413] top1_acc: 0.6140, top5_acc: 0.8523, mean_class_accuracy: 0.6212 2025-04-30 00:14:57,376 - pyskl - INFO - Epoch [126][100/1027] lr: 1.662e-03, eta: 3:22:57, time: 0.667, data_time: 0.289, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 3.1952, loss: 3.1952 2025-04-30 00:15:40,186 - pyskl - INFO - Epoch [126][200/1027] lr: 1.649e-03, eta: 3:22:08, time: 0.428, data_time: 0.000, memory: 7959, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 3.2221, loss: 3.2221 2025-04-30 00:16:24,939 - pyskl - INFO - Epoch [126][300/1027] lr: 1.637e-03, eta: 3:21:20, time: 0.448, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 3.2816, loss: 3.2816 2025-04-30 00:17:11,377 - pyskl - INFO - Epoch [126][400/1027] lr: 1.624e-03, eta: 3:20:32, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 3.1851, loss: 3.1851 2025-04-30 00:17:57,674 - pyskl - INFO - Epoch [126][500/1027] lr: 1.612e-03, eta: 3:19:45, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 3.2498, loss: 3.2498 2025-04-30 00:18:44,327 - pyskl - INFO - Epoch [126][600/1027] lr: 1.599e-03, eta: 3:18:57, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 3.1996, loss: 3.1996 2025-04-30 00:19:30,569 - pyskl - INFO - Epoch [126][700/1027] lr: 1.587e-03, eta: 3:18:09, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 3.3184, loss: 3.3184 2025-04-30 00:20:16,562 - pyskl - INFO - Epoch [126][800/1027] lr: 1.574e-03, eta: 3:17:21, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 3.2446, loss: 3.2446 2025-04-30 00:21:02,913 - pyskl - INFO - Epoch [126][900/1027] lr: 1.562e-03, eta: 3:16:33, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 3.3053, loss: 3.3053 2025-04-30 00:21:50,048 - pyskl - INFO - Epoch [126][1000/1027] lr: 1.550e-03, eta: 3:15:45, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 3.3247, loss: 3.3247 2025-04-30 00:22:03,792 - pyskl - INFO - Saving checkpoint at 126 epochs 2025-04-30 00:22:44,481 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 00:22:44,564 - pyskl - INFO - top1_acc 0.6133 top5_acc 0.8566 2025-04-30 00:22:44,565 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 00:22:44,574 - pyskl - INFO - mean_acc 0.6180 2025-04-30 00:22:44,576 - pyskl - INFO - Epoch(val) [126][413] top1_acc: 0.6133, top5_acc: 0.8566, mean_class_accuracy: 0.6180 2025-04-30 00:23:50,572 - pyskl - INFO - Epoch [127][100/1027] lr: 1.534e-03, eta: 3:14:46, time: 0.660, data_time: 0.279, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 3.2945, loss: 3.2945 2025-04-30 00:24:34,174 - pyskl - INFO - Epoch [127][200/1027] lr: 1.522e-03, eta: 3:13:58, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 3.1693, loss: 3.1693 2025-04-30 00:25:20,157 - pyskl - INFO - Epoch [127][300/1027] lr: 1.510e-03, eta: 3:13:10, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.1247, loss: 3.1247 2025-04-30 00:26:06,762 - pyskl - INFO - Epoch [127][400/1027] lr: 1.498e-03, eta: 3:12:22, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 3.2916, loss: 3.2916 2025-04-30 00:26:53,546 - pyskl - INFO - Epoch [127][500/1027] lr: 1.485e-03, eta: 3:11:34, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 3.1839, loss: 3.1839 2025-04-30 00:27:40,542 - pyskl - INFO - Epoch [127][600/1027] lr: 1.473e-03, eta: 3:10:46, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 3.3206, loss: 3.3206 2025-04-30 00:28:27,720 - pyskl - INFO - Epoch [127][700/1027] lr: 1.461e-03, eta: 3:09:59, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 3.1907, loss: 3.1907 2025-04-30 00:29:14,006 - pyskl - INFO - Epoch [127][800/1027] lr: 1.450e-03, eta: 3:09:11, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 3.2132, loss: 3.2132 2025-04-30 00:30:00,799 - pyskl - INFO - Epoch [127][900/1027] lr: 1.438e-03, eta: 3:08:23, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 3.2148, loss: 3.2148 2025-04-30 00:30:48,167 - pyskl - INFO - Epoch [127][1000/1027] lr: 1.426e-03, eta: 3:07:36, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 3.1427, loss: 3.1427 2025-04-30 00:31:01,493 - pyskl - INFO - Saving checkpoint at 127 epochs 2025-04-30 00:31:41,583 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 00:31:41,657 - pyskl - INFO - top1_acc 0.6166 top5_acc 0.8545 2025-04-30 00:31:41,657 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 00:31:41,666 - pyskl - INFO - mean_acc 0.6185 2025-04-30 00:31:41,668 - pyskl - INFO - Epoch(val) [127][413] top1_acc: 0.6166, top5_acc: 0.8545, mean_class_accuracy: 0.6185 2025-04-30 00:32:46,327 - pyskl - INFO - Epoch [128][100/1027] lr: 1.411e-03, eta: 3:06:36, time: 0.647, data_time: 0.266, memory: 7959, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 3.1998, loss: 3.1998 2025-04-30 00:33:29,235 - pyskl - INFO - Epoch [128][200/1027] lr: 1.399e-03, eta: 3:05:47, time: 0.429, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 3.0828, loss: 3.0828 2025-04-30 00:34:15,200 - pyskl - INFO - Epoch [128][300/1027] lr: 1.387e-03, eta: 3:05:00, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 3.2437, loss: 3.2437 2025-04-30 00:35:01,365 - pyskl - INFO - Epoch [128][400/1027] lr: 1.376e-03, eta: 3:04:12, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 3.2959, loss: 3.2959 2025-04-30 00:35:47,566 - pyskl - INFO - Epoch [128][500/1027] lr: 1.364e-03, eta: 3:03:24, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.1528, loss: 3.1528 2025-04-30 00:36:34,355 - pyskl - INFO - Epoch [128][600/1027] lr: 1.353e-03, eta: 3:02:36, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 3.0952, loss: 3.0952 2025-04-30 00:37:20,848 - pyskl - INFO - Epoch [128][700/1027] lr: 1.341e-03, eta: 3:01:48, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 3.2228, loss: 3.2228 2025-04-30 00:38:07,190 - pyskl - INFO - Epoch [128][800/1027] lr: 1.330e-03, eta: 3:01:01, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 3.0711, loss: 3.0711 2025-04-30 00:38:54,755 - pyskl - INFO - Epoch [128][900/1027] lr: 1.318e-03, eta: 3:00:13, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 3.1032, loss: 3.1032 2025-04-30 00:39:43,640 - pyskl - INFO - Epoch [128][1000/1027] lr: 1.307e-03, eta: 2:59:26, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 3.2156, loss: 3.2156 2025-04-30 00:39:57,741 - pyskl - INFO - Saving checkpoint at 128 epochs 2025-04-30 00:40:39,478 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 00:40:39,551 - pyskl - INFO - top1_acc 0.6181 top5_acc 0.8521 2025-04-30 00:40:39,551 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 00:40:39,560 - pyskl - INFO - mean_acc 0.6188 2025-04-30 00:40:39,624 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_123.pth was removed 2025-04-30 00:40:41,289 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. 2025-04-30 00:40:41,291 - pyskl - INFO - Best top1_acc is 0.6181 at 128 epoch. 2025-04-30 00:40:41,294 - pyskl - INFO - Epoch(val) [128][413] top1_acc: 0.6181, top5_acc: 0.8521, mean_class_accuracy: 0.6188 2025-04-30 00:41:47,698 - pyskl - INFO - Epoch [129][100/1027] lr: 1.292e-03, eta: 2:58:26, time: 0.664, data_time: 0.268, memory: 7959, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 3.1817, loss: 3.1817 2025-04-30 00:42:33,123 - pyskl - INFO - Epoch [129][200/1027] lr: 1.281e-03, eta: 2:57:38, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 3.2071, loss: 3.2071 2025-04-30 00:43:21,783 - pyskl - INFO - Epoch [129][300/1027] lr: 1.270e-03, eta: 2:56:51, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.0464, loss: 3.0464 2025-04-30 00:44:10,087 - pyskl - INFO - Epoch [129][400/1027] lr: 1.259e-03, eta: 2:56:03, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.1972, loss: 3.1972 2025-04-30 00:44:58,663 - pyskl - INFO - Epoch [129][500/1027] lr: 1.248e-03, eta: 2:55:16, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 3.1400, loss: 3.1400 2025-04-30 00:45:48,719 - pyskl - INFO - Epoch [129][600/1027] lr: 1.237e-03, eta: 2:54:29, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 3.0341, loss: 3.0341 2025-04-30 00:46:38,459 - pyskl - INFO - Epoch [129][700/1027] lr: 1.226e-03, eta: 2:53:41, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 3.2186, loss: 3.2186 2025-04-30 00:47:28,883 - pyskl - INFO - Epoch [129][800/1027] lr: 1.215e-03, eta: 2:52:54, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 3.1474, loss: 3.1474 2025-04-30 00:48:19,512 - pyskl - INFO - Epoch [129][900/1027] lr: 1.204e-03, eta: 2:52:07, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1911, loss: 3.1911 2025-04-30 00:49:10,463 - pyskl - INFO - Epoch [129][1000/1027] lr: 1.193e-03, eta: 2:51:20, time: 0.509, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 3.1250, loss: 3.1250 2025-04-30 00:49:25,414 - pyskl - INFO - Saving checkpoint at 129 epochs 2025-04-30 00:50:07,180 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 00:50:07,254 - pyskl - INFO - top1_acc 0.6098 top5_acc 0.8533 2025-04-30 00:50:07,254 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 00:50:07,263 - pyskl - INFO - mean_acc 0.6086 2025-04-30 00:50:07,265 - pyskl - INFO - Epoch(val) [129][413] top1_acc: 0.6098, top5_acc: 0.8533, mean_class_accuracy: 0.6086 2025-04-30 00:51:13,305 - pyskl - INFO - Epoch [130][100/1027] lr: 1.179e-03, eta: 2:50:21, time: 0.660, data_time: 0.268, memory: 7959, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 3.0488, loss: 3.0488 2025-04-30 00:51:58,692 - pyskl - INFO - Epoch [130][200/1027] lr: 1.168e-03, eta: 2:49:33, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9954, loss: 2.9954 2025-04-30 00:52:45,156 - pyskl - INFO - Epoch [130][300/1027] lr: 1.157e-03, eta: 2:48:45, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.1469, loss: 3.1469 2025-04-30 00:53:31,920 - pyskl - INFO - Epoch [130][400/1027] lr: 1.147e-03, eta: 2:47:57, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.0078, loss: 3.0078 2025-04-30 00:54:19,013 - pyskl - INFO - Epoch [130][500/1027] lr: 1.136e-03, eta: 2:47:09, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 3.2302, loss: 3.2302 2025-04-30 00:55:05,952 - pyskl - INFO - Epoch [130][600/1027] lr: 1.125e-03, eta: 2:46:22, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 3.0566, loss: 3.0566 2025-04-30 00:55:53,115 - pyskl - INFO - Epoch [130][700/1027] lr: 1.115e-03, eta: 2:45:34, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 3.2454, loss: 3.2454 2025-04-30 00:56:39,920 - pyskl - INFO - Epoch [130][800/1027] lr: 1.104e-03, eta: 2:44:46, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 3.0882, loss: 3.0882 2025-04-30 00:57:26,780 - pyskl - INFO - Epoch [130][900/1027] lr: 1.094e-03, eta: 2:43:58, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.9873, loss: 2.9873 2025-04-30 00:58:13,372 - pyskl - INFO - Epoch [130][1000/1027] lr: 1.084e-03, eta: 2:43:11, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 3.0190, loss: 3.0190 2025-04-30 00:58:27,037 - pyskl - INFO - Saving checkpoint at 130 epochs 2025-04-30 00:59:07,417 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 00:59:07,490 - pyskl - INFO - top1_acc 0.6181 top5_acc 0.8527 2025-04-30 00:59:07,490 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 00:59:07,498 - pyskl - INFO - mean_acc 0.6235 2025-04-30 00:59:07,500 - pyskl - INFO - Epoch(val) [130][413] top1_acc: 0.6181, top5_acc: 0.8527, mean_class_accuracy: 0.6235 2025-04-30 01:00:12,284 - pyskl - INFO - Epoch [131][100/1027] lr: 1.070e-03, eta: 2:42:11, time: 0.648, data_time: 0.266, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.0369, loss: 3.0369 2025-04-30 01:00:55,757 - pyskl - INFO - Epoch [131][200/1027] lr: 1.060e-03, eta: 2:41:23, time: 0.435, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.0873, loss: 3.0873 2025-04-30 01:01:40,828 - pyskl - INFO - Epoch [131][300/1027] lr: 1.050e-03, eta: 2:40:35, time: 0.451, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 3.0646, loss: 3.0646 2025-04-30 01:02:27,250 - pyskl - INFO - Epoch [131][400/1027] lr: 1.040e-03, eta: 2:39:47, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0289, loss: 3.0289 2025-04-30 01:03:13,826 - pyskl - INFO - Epoch [131][500/1027] lr: 1.030e-03, eta: 2:38:59, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 3.1145, loss: 3.1145 2025-04-30 01:04:00,746 - pyskl - INFO - Epoch [131][600/1027] lr: 1.019e-03, eta: 2:38:11, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 3.0880, loss: 3.0880 2025-04-30 01:04:48,306 - pyskl - INFO - Epoch [131][700/1027] lr: 1.009e-03, eta: 2:37:24, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 3.0480, loss: 3.0480 2025-04-30 01:05:35,445 - pyskl - INFO - Epoch [131][800/1027] lr: 9.994e-04, eta: 2:36:36, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.0843, loss: 3.0843 2025-04-30 01:06:21,976 - pyskl - INFO - Epoch [131][900/1027] lr: 9.894e-04, eta: 2:35:48, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 3.1156, loss: 3.1156 2025-04-30 01:07:08,623 - pyskl - INFO - Epoch [131][1000/1027] lr: 9.795e-04, eta: 2:35:01, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.0749, loss: 3.0749 2025-04-30 01:07:22,274 - pyskl - INFO - Saving checkpoint at 131 epochs 2025-04-30 01:08:02,333 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 01:08:02,406 - pyskl - INFO - top1_acc 0.6190 top5_acc 0.8580 2025-04-30 01:08:02,407 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 01:08:02,415 - pyskl - INFO - mean_acc 0.6215 2025-04-30 01:08:02,470 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_128.pth was removed 2025-04-30 01:08:04,116 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. 2025-04-30 01:08:04,117 - pyskl - INFO - Best top1_acc is 0.6190 at 131 epoch. 2025-04-30 01:08:04,121 - pyskl - INFO - Epoch(val) [131][413] top1_acc: 0.6190, top5_acc: 0.8580, mean_class_accuracy: 0.6215 2025-04-30 01:09:08,323 - pyskl - INFO - Epoch [132][100/1027] lr: 9.670e-04, eta: 2:34:01, time: 0.642, data_time: 0.261, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 3.0125, loss: 3.0125 2025-04-30 01:09:50,644 - pyskl - INFO - Epoch [132][200/1027] lr: 9.571e-04, eta: 2:33:12, time: 0.423, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0372, loss: 3.0372 2025-04-30 01:10:36,314 - pyskl - INFO - Epoch [132][300/1027] lr: 9.474e-04, eta: 2:32:25, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 3.0350, loss: 3.0350 2025-04-30 01:11:22,475 - pyskl - INFO - Epoch [132][400/1027] lr: 9.377e-04, eta: 2:31:37, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 3.1268, loss: 3.1268 2025-04-30 01:12:09,359 - pyskl - INFO - Epoch [132][500/1027] lr: 9.280e-04, eta: 2:30:49, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 3.0450, loss: 3.0450 2025-04-30 01:12:55,943 - pyskl - INFO - Epoch [132][600/1027] lr: 9.184e-04, eta: 2:30:01, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.9921, loss: 2.9921 2025-04-30 01:13:41,664 - pyskl - INFO - Epoch [132][700/1027] lr: 9.088e-04, eta: 2:29:13, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.0715, loss: 3.0715 2025-04-30 01:14:27,854 - pyskl - INFO - Epoch [132][800/1027] lr: 8.993e-04, eta: 2:28:26, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9953, loss: 2.9953 2025-04-30 01:15:14,958 - pyskl - INFO - Epoch [132][900/1027] lr: 8.898e-04, eta: 2:27:38, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 3.0606, loss: 3.0606 2025-04-30 01:16:01,581 - pyskl - INFO - Epoch [132][1000/1027] lr: 8.804e-04, eta: 2:26:50, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.0610, loss: 3.0610 2025-04-30 01:16:14,745 - pyskl - INFO - Saving checkpoint at 132 epochs 2025-04-30 01:16:54,891 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 01:16:54,964 - pyskl - INFO - top1_acc 0.6195 top5_acc 0.8536 2025-04-30 01:16:54,964 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 01:16:54,972 - pyskl - INFO - mean_acc 0.6196 2025-04-30 01:16:55,033 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_131.pth was removed 2025-04-30 01:16:56,650 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. 2025-04-30 01:16:56,652 - pyskl - INFO - Best top1_acc is 0.6195 at 132 epoch. 2025-04-30 01:16:56,655 - pyskl - INFO - Epoch(val) [132][413] top1_acc: 0.6195, top5_acc: 0.8536, mean_class_accuracy: 0.6196 2025-04-30 01:18:00,126 - pyskl - INFO - Epoch [133][100/1027] lr: 8.685e-04, eta: 2:25:50, time: 0.635, data_time: 0.259, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.0308, loss: 3.0308 2025-04-30 01:18:43,027 - pyskl - INFO - Epoch [133][200/1027] lr: 8.592e-04, eta: 2:25:02, time: 0.429, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 3.0612, loss: 3.0612 2025-04-30 01:19:27,480 - pyskl - INFO - Epoch [133][300/1027] lr: 8.500e-04, eta: 2:24:14, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0376, loss: 3.0376 2025-04-30 01:20:13,025 - pyskl - INFO - Epoch [133][400/1027] lr: 8.407e-04, eta: 2:23:26, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.0350, loss: 3.0350 2025-04-30 01:20:59,317 - pyskl - INFO - Epoch [133][500/1027] lr: 8.316e-04, eta: 2:22:38, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.1748, loss: 3.1748 2025-04-30 01:21:45,916 - pyskl - INFO - Epoch [133][600/1027] lr: 8.225e-04, eta: 2:21:51, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9824, loss: 2.9824 2025-04-30 01:22:32,422 - pyskl - INFO - Epoch [133][700/1027] lr: 8.134e-04, eta: 2:21:03, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0240, loss: 3.0240 2025-04-30 01:23:19,758 - pyskl - INFO - Epoch [133][800/1027] lr: 8.044e-04, eta: 2:20:15, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 3.0942, loss: 3.0942 2025-04-30 01:24:07,202 - pyskl - INFO - Epoch [133][900/1027] lr: 7.954e-04, eta: 2:19:28, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0568, loss: 3.0568 2025-04-30 01:24:54,579 - pyskl - INFO - Epoch [133][1000/1027] lr: 7.865e-04, eta: 2:18:40, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 3.1278, loss: 3.1278 2025-04-30 01:25:07,738 - pyskl - INFO - Saving checkpoint at 133 epochs 2025-04-30 01:25:47,706 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 01:25:47,779 - pyskl - INFO - top1_acc 0.6228 top5_acc 0.8576 2025-04-30 01:25:47,779 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 01:25:47,788 - pyskl - INFO - mean_acc 0.6275 2025-04-30 01:25:47,844 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_132.pth was removed 2025-04-30 01:25:49,602 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. 2025-04-30 01:25:49,603 - pyskl - INFO - Best top1_acc is 0.6228 at 133 epoch. 2025-04-30 01:25:49,606 - pyskl - INFO - Epoch(val) [133][413] top1_acc: 0.6228, top5_acc: 0.8576, mean_class_accuracy: 0.6275 2025-04-30 01:26:53,621 - pyskl - INFO - Epoch [134][100/1027] lr: 7.752e-04, eta: 2:17:40, time: 0.640, data_time: 0.259, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1215, loss: 3.1215 2025-04-30 01:27:36,025 - pyskl - INFO - Epoch [134][200/1027] lr: 7.664e-04, eta: 2:16:52, time: 0.424, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9719, loss: 2.9719 2025-04-30 01:28:21,449 - pyskl - INFO - Epoch [134][300/1027] lr: 7.576e-04, eta: 2:16:04, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 2.8912, loss: 2.8912 2025-04-30 01:29:07,891 - pyskl - INFO - Epoch [134][400/1027] lr: 7.489e-04, eta: 2:15:16, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0695, loss: 3.0695 2025-04-30 01:29:53,474 - pyskl - INFO - Epoch [134][500/1027] lr: 7.402e-04, eta: 2:14:28, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0379, loss: 3.0379 2025-04-30 01:30:40,547 - pyskl - INFO - Epoch [134][600/1027] lr: 7.316e-04, eta: 2:13:41, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 3.0332, loss: 3.0332 2025-04-30 01:31:28,230 - pyskl - INFO - Epoch [134][700/1027] lr: 7.231e-04, eta: 2:12:53, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.0999, loss: 3.0999 2025-04-30 01:32:14,351 - pyskl - INFO - Epoch [134][800/1027] lr: 7.145e-04, eta: 2:12:05, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9629, loss: 2.9629 2025-04-30 01:33:01,350 - pyskl - INFO - Epoch [134][900/1027] lr: 7.061e-04, eta: 2:11:18, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.9942, loss: 2.9942 2025-04-30 01:33:47,602 - pyskl - INFO - Epoch [134][1000/1027] lr: 6.976e-04, eta: 2:10:30, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.9263, loss: 2.9263 2025-04-30 01:34:00,739 - pyskl - INFO - Saving checkpoint at 134 epochs 2025-04-30 01:34:40,890 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 01:34:40,963 - pyskl - INFO - top1_acc 0.6187 top5_acc 0.8535 2025-04-30 01:34:40,964 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 01:34:40,973 - pyskl - INFO - mean_acc 0.6214 2025-04-30 01:34:40,975 - pyskl - INFO - Epoch(val) [134][413] top1_acc: 0.6187, top5_acc: 0.8535, mean_class_accuracy: 0.6214 2025-04-30 01:35:45,553 - pyskl - INFO - Epoch [135][100/1027] lr: 6.870e-04, eta: 2:09:30, time: 0.646, data_time: 0.260, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9697, loss: 2.9697 2025-04-30 01:36:29,805 - pyskl - INFO - Epoch [135][200/1027] lr: 6.787e-04, eta: 2:08:42, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 3.0295, loss: 3.0295 2025-04-30 01:37:16,209 - pyskl - INFO - Epoch [135][300/1027] lr: 6.704e-04, eta: 2:07:54, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9740, loss: 2.9740 2025-04-30 01:38:04,706 - pyskl - INFO - Epoch [135][400/1027] lr: 6.622e-04, eta: 2:07:07, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.9664, loss: 2.9664 2025-04-30 01:38:53,502 - pyskl - INFO - Epoch [135][500/1027] lr: 6.541e-04, eta: 2:06:20, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9898, loss: 2.9898 2025-04-30 01:39:42,544 - pyskl - INFO - Epoch [135][600/1027] lr: 6.460e-04, eta: 2:05:32, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9351, loss: 2.9351 2025-04-30 01:40:32,001 - pyskl - INFO - Epoch [135][700/1027] lr: 6.379e-04, eta: 2:04:45, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9263, loss: 2.9263 2025-04-30 01:41:21,359 - pyskl - INFO - Epoch [135][800/1027] lr: 6.299e-04, eta: 2:03:57, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9292, loss: 2.9292 2025-04-30 01:42:11,354 - pyskl - INFO - Epoch [135][900/1027] lr: 6.219e-04, eta: 2:03:10, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.9051, loss: 2.9051 2025-04-30 01:43:01,028 - pyskl - INFO - Epoch [135][1000/1027] lr: 6.140e-04, eta: 2:02:23, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0715, loss: 3.0715 2025-04-30 01:43:15,048 - pyskl - INFO - Saving checkpoint at 135 epochs 2025-04-30 01:43:56,339 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 01:43:56,412 - pyskl - INFO - top1_acc 0.6296 top5_acc 0.8576 2025-04-30 01:43:56,412 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 01:43:56,421 - pyskl - INFO - mean_acc 0.6333 2025-04-30 01:43:56,477 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_133.pth was removed 2025-04-30 01:43:58,154 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. 2025-04-30 01:43:58,156 - pyskl - INFO - Best top1_acc is 0.6296 at 135 epoch. 2025-04-30 01:43:58,160 - pyskl - INFO - Epoch(val) [135][413] top1_acc: 0.6296, top5_acc: 0.8576, mean_class_accuracy: 0.6333 2025-04-30 01:45:04,689 - pyskl - INFO - Epoch [136][100/1027] lr: 6.040e-04, eta: 2:01:23, time: 0.665, data_time: 0.271, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9033, loss: 2.9033 2025-04-30 01:45:51,772 - pyskl - INFO - Epoch [136][200/1027] lr: 5.962e-04, eta: 2:00:35, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0534, loss: 3.0534 2025-04-30 01:46:40,804 - pyskl - INFO - Epoch [136][300/1027] lr: 5.885e-04, eta: 1:59:48, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9606, loss: 2.9606 2025-04-30 01:47:29,538 - pyskl - INFO - Epoch [136][400/1027] lr: 5.808e-04, eta: 1:59:00, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 3.0672, loss: 3.0672 2025-04-30 01:48:19,509 - pyskl - INFO - Epoch [136][500/1027] lr: 5.731e-04, eta: 1:58:13, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9925, loss: 2.9925 2025-04-30 01:49:09,093 - pyskl - INFO - Epoch [136][600/1027] lr: 5.655e-04, eta: 1:57:26, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 2.8515, loss: 2.8515 2025-04-30 01:49:56,919 - pyskl - INFO - Epoch [136][700/1027] lr: 5.579e-04, eta: 1:56:38, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.0006, loss: 3.0006 2025-04-30 01:50:45,660 - pyskl - INFO - Epoch [136][800/1027] lr: 5.504e-04, eta: 1:55:51, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0456, loss: 3.0456 2025-04-30 01:51:34,075 - pyskl - INFO - Epoch [136][900/1027] lr: 5.430e-04, eta: 1:55:03, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9800, loss: 2.9800 2025-04-30 01:52:21,293 - pyskl - INFO - Epoch [136][1000/1027] lr: 5.356e-04, eta: 1:54:16, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9249, loss: 2.9249 2025-04-30 01:52:34,814 - pyskl - INFO - Saving checkpoint at 136 epochs 2025-04-30 01:53:15,199 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 01:53:15,274 - pyskl - INFO - top1_acc 0.6230 top5_acc 0.8557 2025-04-30 01:53:15,275 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 01:53:15,284 - pyskl - INFO - mean_acc 0.6235 2025-04-30 01:53:15,286 - pyskl - INFO - Epoch(val) [136][413] top1_acc: 0.6230, top5_acc: 0.8557, mean_class_accuracy: 0.6235 2025-04-30 01:54:19,458 - pyskl - INFO - Epoch [137][100/1027] lr: 5.262e-04, eta: 1:53:16, time: 0.642, data_time: 0.260, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9928, loss: 2.9928 2025-04-30 01:55:02,559 - pyskl - INFO - Epoch [137][200/1027] lr: 5.189e-04, eta: 1:52:27, time: 0.431, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 2.9765, loss: 2.9765 2025-04-30 01:55:48,367 - pyskl - INFO - Epoch [137][300/1027] lr: 5.117e-04, eta: 1:51:40, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0430, loss: 3.0430 2025-04-30 01:56:34,802 - pyskl - INFO - Epoch [137][400/1027] lr: 5.045e-04, eta: 1:50:52, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9311, loss: 2.9311 2025-04-30 01:57:20,899 - pyskl - INFO - Epoch [137][500/1027] lr: 4.974e-04, eta: 1:50:04, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9139, loss: 2.9139 2025-04-30 01:58:07,149 - pyskl - INFO - Epoch [137][600/1027] lr: 4.903e-04, eta: 1:49:17, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.0967, loss: 3.0967 2025-04-30 01:58:54,245 - pyskl - INFO - Epoch [137][700/1027] lr: 4.832e-04, eta: 1:48:29, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9874, loss: 2.9874 2025-04-30 01:59:41,085 - pyskl - INFO - Epoch [137][800/1027] lr: 4.762e-04, eta: 1:47:41, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9620, loss: 2.9620 2025-04-30 02:00:27,326 - pyskl - INFO - Epoch [137][900/1027] lr: 4.693e-04, eta: 1:46:53, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.9342, loss: 2.9342 2025-04-30 02:01:14,737 - pyskl - INFO - Epoch [137][1000/1027] lr: 4.624e-04, eta: 1:46:06, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9886, loss: 2.9886 2025-04-30 02:01:28,204 - pyskl - INFO - Saving checkpoint at 137 epochs 2025-04-30 02:02:08,828 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 02:02:08,900 - pyskl - INFO - top1_acc 0.6248 top5_acc 0.8589 2025-04-30 02:02:08,900 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 02:02:08,908 - pyskl - INFO - mean_acc 0.6281 2025-04-30 02:02:08,909 - pyskl - INFO - Epoch(val) [137][413] top1_acc: 0.6248, top5_acc: 0.8589, mean_class_accuracy: 0.6281 2025-04-30 02:03:13,894 - pyskl - INFO - Epoch [138][100/1027] lr: 4.537e-04, eta: 1:45:06, time: 0.650, data_time: 0.266, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8720, loss: 2.8720 2025-04-30 02:03:57,418 - pyskl - INFO - Epoch [138][200/1027] lr: 4.469e-04, eta: 1:44:18, time: 0.435, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8270, loss: 2.8270 2025-04-30 02:04:42,475 - pyskl - INFO - Epoch [138][300/1027] lr: 4.402e-04, eta: 1:43:30, time: 0.451, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9233, loss: 2.9233 2025-04-30 02:05:28,666 - pyskl - INFO - Epoch [138][400/1027] lr: 4.335e-04, eta: 1:42:42, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9438, loss: 2.9438 2025-04-30 02:06:15,558 - pyskl - INFO - Epoch [138][500/1027] lr: 4.269e-04, eta: 1:41:55, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.0072, loss: 3.0072 2025-04-30 02:07:01,899 - pyskl - INFO - Epoch [138][600/1027] lr: 4.203e-04, eta: 1:41:07, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 2.8478, loss: 2.8478 2025-04-30 02:07:48,717 - pyskl - INFO - Epoch [138][700/1027] lr: 4.138e-04, eta: 1:40:19, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9380, loss: 2.9380 2025-04-30 02:08:35,847 - pyskl - INFO - Epoch [138][800/1027] lr: 4.073e-04, eta: 1:39:32, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.7973, loss: 2.7973 2025-04-30 02:09:23,769 - pyskl - INFO - Epoch [138][900/1027] lr: 4.009e-04, eta: 1:38:44, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9642, loss: 2.9642 2025-04-30 02:10:11,277 - pyskl - INFO - Epoch [138][1000/1027] lr: 3.945e-04, eta: 1:37:57, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 3.0035, loss: 3.0035 2025-04-30 02:10:24,531 - pyskl - INFO - Saving checkpoint at 138 epochs 2025-04-30 02:11:04,845 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 02:11:04,919 - pyskl - INFO - top1_acc 0.6231 top5_acc 0.8559 2025-04-30 02:11:04,919 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 02:11:04,927 - pyskl - INFO - mean_acc 0.6254 2025-04-30 02:11:04,929 - pyskl - INFO - Epoch(val) [138][413] top1_acc: 0.6231, top5_acc: 0.8559, mean_class_accuracy: 0.6254 2025-04-30 02:12:11,801 - pyskl - INFO - Epoch [139][100/1027] lr: 3.865e-04, eta: 1:36:57, time: 0.669, data_time: 0.287, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9557, loss: 2.9557 2025-04-30 02:12:55,170 - pyskl - INFO - Epoch [139][200/1027] lr: 3.802e-04, eta: 1:36:09, time: 0.434, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8888, loss: 2.8888 2025-04-30 02:13:40,146 - pyskl - INFO - Epoch [139][300/1027] lr: 3.740e-04, eta: 1:35:21, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9334, loss: 2.9334 2025-04-30 02:14:26,706 - pyskl - INFO - Epoch [139][400/1027] lr: 3.678e-04, eta: 1:34:33, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8478, loss: 2.8478 2025-04-30 02:15:14,077 - pyskl - INFO - Epoch [139][500/1027] lr: 3.617e-04, eta: 1:33:46, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8858, loss: 2.8858 2025-04-30 02:16:01,143 - pyskl - INFO - Epoch [139][600/1027] lr: 3.556e-04, eta: 1:32:58, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9827, loss: 2.9827 2025-04-30 02:16:48,001 - pyskl - INFO - Epoch [139][700/1027] lr: 3.496e-04, eta: 1:32:10, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9272, loss: 2.9272 2025-04-30 02:17:35,322 - pyskl - INFO - Epoch [139][800/1027] lr: 3.437e-04, eta: 1:31:23, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0264, loss: 3.0264 2025-04-30 02:18:21,174 - pyskl - INFO - Epoch [139][900/1027] lr: 3.378e-04, eta: 1:30:35, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.8505, loss: 2.8505 2025-04-30 02:19:07,433 - pyskl - INFO - Epoch [139][1000/1027] lr: 3.319e-04, eta: 1:29:47, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.8982, loss: 2.8982 2025-04-30 02:19:21,320 - pyskl - INFO - Saving checkpoint at 139 epochs 2025-04-30 02:20:01,868 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 02:20:01,943 - pyskl - INFO - top1_acc 0.6304 top5_acc 0.8616 2025-04-30 02:20:01,943 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 02:20:01,952 - pyskl - INFO - mean_acc 0.6326 2025-04-30 02:20:02,014 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/bm/best_top1_acc_epoch_135.pth was removed 2025-04-30 02:20:03,693 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. 2025-04-30 02:20:03,695 - pyskl - INFO - Best top1_acc is 0.6304 at 139 epoch. 2025-04-30 02:20:03,699 - pyskl - INFO - Epoch(val) [139][413] top1_acc: 0.6304, top5_acc: 0.8616, mean_class_accuracy: 0.6326 2025-04-30 02:21:08,737 - pyskl - INFO - Epoch [140][100/1027] lr: 3.245e-04, eta: 1:28:47, time: 0.650, data_time: 0.267, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9552, loss: 2.9552 2025-04-30 02:21:51,587 - pyskl - INFO - Epoch [140][200/1027] lr: 3.188e-04, eta: 1:27:59, time: 0.428, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8992, loss: 2.8992 2025-04-30 02:22:36,838 - pyskl - INFO - Epoch [140][300/1027] lr: 3.131e-04, eta: 1:27:12, time: 0.453, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9398, loss: 2.9398 2025-04-30 02:23:23,740 - pyskl - INFO - Epoch [140][400/1027] lr: 3.074e-04, eta: 1:26:24, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9350, loss: 2.9350 2025-04-30 02:24:10,159 - pyskl - INFO - Epoch [140][500/1027] lr: 3.018e-04, eta: 1:25:36, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8579, loss: 2.8579 2025-04-30 02:24:57,592 - pyskl - INFO - Epoch [140][600/1027] lr: 2.963e-04, eta: 1:24:49, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8857, loss: 2.8857 2025-04-30 02:25:44,279 - pyskl - INFO - Epoch [140][700/1027] lr: 2.908e-04, eta: 1:24:01, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8410, loss: 2.8410 2025-04-30 02:26:31,344 - pyskl - INFO - Epoch [140][800/1027] lr: 2.854e-04, eta: 1:23:13, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8450, loss: 2.8450 2025-04-30 02:27:18,802 - pyskl - INFO - Epoch [140][900/1027] lr: 2.800e-04, eta: 1:22:26, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8685, loss: 2.8685 2025-04-30 02:28:05,295 - pyskl - INFO - Epoch [140][1000/1027] lr: 2.746e-04, eta: 1:21:38, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9955, loss: 2.9955 2025-04-30 02:28:18,999 - pyskl - INFO - Saving checkpoint at 140 epochs 2025-04-30 02:28:59,668 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 02:28:59,742 - pyskl - INFO - top1_acc 0.6275 top5_acc 0.8598 2025-04-30 02:28:59,742 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 02:28:59,751 - pyskl - INFO - mean_acc 0.6306 2025-04-30 02:28:59,753 - pyskl - INFO - Epoch(val) [140][413] top1_acc: 0.6275, top5_acc: 0.8598, mean_class_accuracy: 0.6306 2025-04-30 02:30:05,457 - pyskl - INFO - Epoch [141][100/1027] lr: 2.679e-04, eta: 1:20:38, time: 0.657, data_time: 0.273, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9339, loss: 2.9339 2025-04-30 02:30:48,994 - pyskl - INFO - Epoch [141][200/1027] lr: 2.627e-04, eta: 1:19:50, time: 0.435, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8852, loss: 2.8852 2025-04-30 02:31:35,414 - pyskl - INFO - Epoch [141][300/1027] lr: 2.575e-04, eta: 1:19:03, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9031, loss: 2.9031 2025-04-30 02:32:22,387 - pyskl - INFO - Epoch [141][400/1027] lr: 2.524e-04, eta: 1:18:15, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8675, loss: 2.8675 2025-04-30 02:33:09,678 - pyskl - INFO - Epoch [141][500/1027] lr: 2.473e-04, eta: 1:17:27, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9074, loss: 2.9074 2025-04-30 02:33:56,492 - pyskl - INFO - Epoch [141][600/1027] lr: 2.423e-04, eta: 1:16:40, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9188, loss: 2.9188 2025-04-30 02:34:43,704 - pyskl - INFO - Epoch [141][700/1027] lr: 2.374e-04, eta: 1:15:52, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.8725, loss: 2.8725 2025-04-30 02:35:32,023 - pyskl - INFO - Epoch [141][800/1027] lr: 2.324e-04, eta: 1:15:05, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8739, loss: 2.8739 2025-04-30 02:36:18,837 - pyskl - INFO - Epoch [141][900/1027] lr: 2.276e-04, eta: 1:14:17, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9129, loss: 2.9129 2025-04-30 02:37:06,243 - pyskl - INFO - Epoch [141][1000/1027] lr: 2.227e-04, eta: 1:13:30, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9566, loss: 2.9566 2025-04-30 02:37:20,433 - pyskl - INFO - Saving checkpoint at 141 epochs 2025-04-30 02:38:01,992 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 02:38:02,072 - pyskl - INFO - top1_acc 0.6227 top5_acc 0.8589 2025-04-30 02:38:02,072 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 02:38:02,083 - pyskl - INFO - mean_acc 0.6268 2025-04-30 02:38:02,085 - pyskl - INFO - Epoch(val) [141][413] top1_acc: 0.6227, top5_acc: 0.8589, mean_class_accuracy: 0.6268 2025-04-30 02:39:08,563 - pyskl - INFO - Epoch [142][100/1027] lr: 2.167e-04, eta: 1:12:29, time: 0.665, data_time: 0.269, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 2.9973, loss: 2.9973 2025-04-30 02:39:53,774 - pyskl - INFO - Epoch [142][200/1027] lr: 2.120e-04, eta: 1:11:42, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8356, loss: 2.8356 2025-04-30 02:40:41,733 - pyskl - INFO - Epoch [142][300/1027] lr: 2.074e-04, eta: 1:10:54, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8345, loss: 2.8345 2025-04-30 02:41:31,030 - pyskl - INFO - Epoch [142][400/1027] lr: 2.028e-04, eta: 1:10:07, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9011, loss: 2.9011 2025-04-30 02:42:21,478 - pyskl - INFO - Epoch [142][500/1027] lr: 1.982e-04, eta: 1:09:19, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8920, loss: 2.8920 2025-04-30 02:43:11,183 - pyskl - INFO - Epoch [142][600/1027] lr: 1.937e-04, eta: 1:08:32, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0020, loss: 3.0020 2025-04-30 02:44:00,335 - pyskl - INFO - Epoch [142][700/1027] lr: 1.893e-04, eta: 1:07:44, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9494, loss: 2.9494 2025-04-30 02:44:51,461 - pyskl - INFO - Epoch [142][800/1027] lr: 1.849e-04, eta: 1:06:57, time: 0.511, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8687, loss: 2.8687 2025-04-30 02:45:42,227 - pyskl - INFO - Epoch [142][900/1027] lr: 1.805e-04, eta: 1:06:10, time: 0.508, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8937, loss: 2.8937 2025-04-30 02:46:32,742 - pyskl - INFO - Epoch [142][1000/1027] lr: 1.762e-04, eta: 1:05:22, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9204, loss: 2.9204 2025-04-30 02:46:46,465 - pyskl - INFO - Saving checkpoint at 142 epochs 2025-04-30 02:47:28,711 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 02:47:28,784 - pyskl - INFO - top1_acc 0.6266 top5_acc 0.8594 2025-04-30 02:47:28,785 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 02:47:28,794 - pyskl - INFO - mean_acc 0.6299 2025-04-30 02:47:28,796 - pyskl - INFO - Epoch(val) [142][413] top1_acc: 0.6266, top5_acc: 0.8594, mean_class_accuracy: 0.6299 2025-04-30 02:48:35,350 - pyskl - INFO - Epoch [143][100/1027] lr: 1.709e-04, eta: 1:04:22, time: 0.665, data_time: 0.271, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 2.7842, loss: 2.7842 2025-04-30 02:49:21,366 - pyskl - INFO - Epoch [143][200/1027] lr: 1.667e-04, eta: 1:03:34, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8774, loss: 2.8774 2025-04-30 02:50:09,163 - pyskl - INFO - Epoch [143][300/1027] lr: 1.626e-04, eta: 1:02:47, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9004, loss: 2.9004 2025-04-30 02:50:56,530 - pyskl - INFO - Epoch [143][400/1027] lr: 1.585e-04, eta: 1:01:59, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8588, loss: 2.8588 2025-04-30 02:51:43,436 - pyskl - INFO - Epoch [143][500/1027] lr: 1.545e-04, eta: 1:01:12, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8736, loss: 2.8736 2025-04-30 02:52:32,056 - pyskl - INFO - Epoch [143][600/1027] lr: 1.505e-04, eta: 1:00:24, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9253, loss: 2.9253 2025-04-30 02:53:19,318 - pyskl - INFO - Epoch [143][700/1027] lr: 1.466e-04, eta: 0:59:36, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.7354, loss: 2.7354 2025-04-30 02:54:06,181 - pyskl - INFO - Epoch [143][800/1027] lr: 1.427e-04, eta: 0:58:49, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.7945, loss: 2.7945 2025-04-30 02:54:54,448 - pyskl - INFO - Epoch [143][900/1027] lr: 1.389e-04, eta: 0:58:01, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9228, loss: 2.9228 2025-04-30 02:55:41,968 - pyskl - INFO - Epoch [143][1000/1027] lr: 1.351e-04, eta: 0:57:14, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.7717, loss: 2.7717 2025-04-30 02:55:55,618 - pyskl - INFO - Saving checkpoint at 143 epochs 2025-04-30 02:56:36,591 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 02:56:36,670 - pyskl - INFO - top1_acc 0.6255 top5_acc 0.8594 2025-04-30 02:56:36,670 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 02:56:36,680 - pyskl - INFO - mean_acc 0.6279 2025-04-30 02:56:36,682 - pyskl - INFO - Epoch(val) [143][413] top1_acc: 0.6255, top5_acc: 0.8594, mean_class_accuracy: 0.6279 2025-04-30 02:57:42,557 - pyskl - INFO - Epoch [144][100/1027] lr: 1.304e-04, eta: 0:56:14, time: 0.659, data_time: 0.269, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.8813, loss: 2.8813 2025-04-30 02:58:26,466 - pyskl - INFO - Epoch [144][200/1027] lr: 1.268e-04, eta: 0:55:26, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 2.8313, loss: 2.8313 2025-04-30 02:59:11,479 - pyskl - INFO - Epoch [144][300/1027] lr: 1.232e-04, eta: 0:54:38, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 2.8225, loss: 2.8225 2025-04-30 02:59:58,911 - pyskl - INFO - Epoch [144][400/1027] lr: 1.196e-04, eta: 0:53:50, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 2.8714, loss: 2.8714 2025-04-30 03:00:45,639 - pyskl - INFO - Epoch [144][500/1027] lr: 1.162e-04, eta: 0:53:03, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9509, loss: 2.9509 2025-04-30 03:01:31,811 - pyskl - INFO - Epoch [144][600/1027] lr: 1.127e-04, eta: 0:52:15, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8515, loss: 2.8515 2025-04-30 03:02:19,038 - pyskl - INFO - Epoch [144][700/1027] lr: 1.093e-04, eta: 0:51:28, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8809, loss: 2.8809 2025-04-30 03:03:06,382 - pyskl - INFO - Epoch [144][800/1027] lr: 1.060e-04, eta: 0:50:40, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9229, loss: 2.9229 2025-04-30 03:03:54,852 - pyskl - INFO - Epoch [144][900/1027] lr: 1.027e-04, eta: 0:49:52, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8344, loss: 2.8344 2025-04-30 03:04:41,891 - pyskl - INFO - Epoch [144][1000/1027] lr: 9.946e-05, eta: 0:49:05, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8156, loss: 2.8156 2025-04-30 03:04:55,513 - pyskl - INFO - Saving checkpoint at 144 epochs 2025-04-30 03:05:36,602 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 03:05:36,675 - pyskl - INFO - top1_acc 0.6251 top5_acc 0.8589 2025-04-30 03:05:36,676 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 03:05:36,684 - pyskl - INFO - mean_acc 0.6260 2025-04-30 03:05:36,686 - pyskl - INFO - Epoch(val) [144][413] top1_acc: 0.6251, top5_acc: 0.8589, mean_class_accuracy: 0.6260 2025-04-30 03:06:43,185 - pyskl - INFO - Epoch [145][100/1027] lr: 9.543e-05, eta: 0:48:05, time: 0.665, data_time: 0.279, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9029, loss: 2.9029 2025-04-30 03:07:27,279 - pyskl - INFO - Epoch [145][200/1027] lr: 9.231e-05, eta: 0:47:17, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8192, loss: 2.8192 2025-04-30 03:08:12,460 - pyskl - INFO - Epoch [145][300/1027] lr: 8.924e-05, eta: 0:46:29, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8331, loss: 2.8331 2025-04-30 03:08:59,310 - pyskl - INFO - Epoch [145][400/1027] lr: 8.623e-05, eta: 0:45:42, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8578, loss: 2.8578 2025-04-30 03:09:46,864 - pyskl - INFO - Epoch [145][500/1027] lr: 8.327e-05, eta: 0:44:54, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8471, loss: 2.8471 2025-04-30 03:10:33,582 - pyskl - INFO - Epoch [145][600/1027] lr: 8.035e-05, eta: 0:44:06, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9059, loss: 2.9059 2025-04-30 03:11:21,114 - pyskl - INFO - Epoch [145][700/1027] lr: 7.749e-05, eta: 0:43:19, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8629, loss: 2.8629 2025-04-30 03:12:08,356 - pyskl - INFO - Epoch [145][800/1027] lr: 7.469e-05, eta: 0:42:31, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.7466, loss: 2.7466 2025-04-30 03:12:54,990 - pyskl - INFO - Epoch [145][900/1027] lr: 7.193e-05, eta: 0:41:44, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8701, loss: 2.8701 2025-04-30 03:13:42,440 - pyskl - INFO - Epoch [145][1000/1027] lr: 6.922e-05, eta: 0:40:56, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8636, loss: 2.8636 2025-04-30 03:13:56,046 - pyskl - INFO - Saving checkpoint at 145 epochs 2025-04-30 03:14:36,678 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 03:14:36,751 - pyskl - INFO - top1_acc 0.6248 top5_acc 0.8592 2025-04-30 03:14:36,751 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 03:14:36,760 - pyskl - INFO - mean_acc 0.6252 2025-04-30 03:14:36,761 - pyskl - INFO - Epoch(val) [145][413] top1_acc: 0.6248, top5_acc: 0.8592, mean_class_accuracy: 0.6252 2025-04-30 03:15:42,210 - pyskl - INFO - Epoch [146][100/1027] lr: 6.586e-05, eta: 0:39:56, time: 0.654, data_time: 0.273, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.7801, loss: 2.7801 2025-04-30 03:16:25,983 - pyskl - INFO - Epoch [146][200/1027] lr: 6.328e-05, eta: 0:39:08, time: 0.438, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8542, loss: 2.8542 2025-04-30 03:17:12,227 - pyskl - INFO - Epoch [146][300/1027] lr: 6.074e-05, eta: 0:38:20, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8595, loss: 2.8595 2025-04-30 03:17:59,580 - pyskl - INFO - Epoch [146][400/1027] lr: 5.826e-05, eta: 0:37:33, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9563, loss: 2.9563 2025-04-30 03:18:46,683 - pyskl - INFO - Epoch [146][500/1027] lr: 5.582e-05, eta: 0:36:45, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8190, loss: 2.8190 2025-04-30 03:19:33,787 - pyskl - INFO - Epoch [146][600/1027] lr: 5.344e-05, eta: 0:35:58, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8763, loss: 2.8763 2025-04-30 03:20:20,777 - pyskl - INFO - Epoch [146][700/1027] lr: 5.111e-05, eta: 0:35:10, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8418, loss: 2.8418 2025-04-30 03:21:07,722 - pyskl - INFO - Epoch [146][800/1027] lr: 4.884e-05, eta: 0:34:22, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 2.8765, loss: 2.8765 2025-04-30 03:21:55,202 - pyskl - INFO - Epoch [146][900/1027] lr: 4.661e-05, eta: 0:33:35, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8197, loss: 2.8197 2025-04-30 03:22:43,272 - pyskl - INFO - Epoch [146][1000/1027] lr: 4.444e-05, eta: 0:32:47, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8247, loss: 2.8247 2025-04-30 03:22:56,761 - pyskl - INFO - Saving checkpoint at 146 epochs 2025-04-30 03:23:37,636 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 03:23:37,710 - pyskl - INFO - top1_acc 0.6281 top5_acc 0.8604 2025-04-30 03:23:37,710 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 03:23:37,719 - pyskl - INFO - mean_acc 0.6312 2025-04-30 03:23:37,720 - pyskl - INFO - Epoch(val) [146][413] top1_acc: 0.6281, top5_acc: 0.8604, mean_class_accuracy: 0.6312 2025-04-30 03:24:42,483 - pyskl - INFO - Epoch [147][100/1027] lr: 4.175e-05, eta: 0:31:47, time: 0.648, data_time: 0.266, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.7533, loss: 2.7533 2025-04-30 03:25:26,476 - pyskl - INFO - Epoch [147][200/1027] lr: 3.970e-05, eta: 0:30:59, time: 0.440, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8437, loss: 2.8437 2025-04-30 03:26:12,561 - pyskl - INFO - Epoch [147][300/1027] lr: 3.769e-05, eta: 0:30:12, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8254, loss: 2.8254 2025-04-30 03:26:58,474 - pyskl - INFO - Epoch [147][400/1027] lr: 3.574e-05, eta: 0:29:24, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.7838, loss: 2.7838 2025-04-30 03:27:45,794 - pyskl - INFO - Epoch [147][500/1027] lr: 3.384e-05, eta: 0:28:36, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.7266, loss: 2.7266 2025-04-30 03:28:31,978 - pyskl - INFO - Epoch [147][600/1027] lr: 3.199e-05, eta: 0:27:49, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9250, loss: 2.9250 2025-04-30 03:29:19,170 - pyskl - INFO - Epoch [147][700/1027] lr: 3.020e-05, eta: 0:27:01, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8610, loss: 2.8610 2025-04-30 03:30:06,651 - pyskl - INFO - Epoch [147][800/1027] lr: 2.845e-05, eta: 0:26:14, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.7889, loss: 2.7889 2025-04-30 03:30:53,531 - pyskl - INFO - Epoch [147][900/1027] lr: 2.676e-05, eta: 0:25:26, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9299, loss: 2.9299 2025-04-30 03:31:41,329 - pyskl - INFO - Epoch [147][1000/1027] lr: 2.512e-05, eta: 0:24:38, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8237, loss: 2.8237 2025-04-30 03:31:54,929 - pyskl - INFO - Saving checkpoint at 147 epochs 2025-04-30 03:32:35,758 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 03:32:35,830 - pyskl - INFO - top1_acc 0.6204 top5_acc 0.8566 2025-04-30 03:32:35,831 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 03:32:35,838 - pyskl - INFO - mean_acc 0.6206 2025-04-30 03:32:35,840 - pyskl - INFO - Epoch(val) [147][413] top1_acc: 0.6204, top5_acc: 0.8566, mean_class_accuracy: 0.6206 2025-04-30 03:33:40,984 - pyskl - INFO - Epoch [148][100/1027] lr: 2.311e-05, eta: 0:23:38, time: 0.651, data_time: 0.265, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 2.8601, loss: 2.8601 2025-04-30 03:34:24,597 - pyskl - INFO - Epoch [148][200/1027] lr: 2.158e-05, eta: 0:22:50, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.7389, loss: 2.7389 2025-04-30 03:35:10,544 - pyskl - INFO - Epoch [148][300/1027] lr: 2.011e-05, eta: 0:22:03, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8682, loss: 2.8682 2025-04-30 03:35:57,560 - pyskl - INFO - Epoch [148][400/1027] lr: 1.869e-05, eta: 0:21:15, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8009, loss: 2.8009 2025-04-30 03:36:46,188 - pyskl - INFO - Epoch [148][500/1027] lr: 1.732e-05, eta: 0:20:28, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8416, loss: 2.8416 2025-04-30 03:37:36,213 - pyskl - INFO - Epoch [148][600/1027] lr: 1.601e-05, eta: 0:19:40, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8397, loss: 2.8397 2025-04-30 03:38:26,828 - pyskl - INFO - Epoch [148][700/1027] lr: 1.475e-05, eta: 0:18:53, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.7419, loss: 2.7419 2025-04-30 03:39:16,945 - pyskl - INFO - Epoch [148][800/1027] lr: 1.353e-05, eta: 0:18:05, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9240, loss: 2.9240 2025-04-30 03:40:07,890 - pyskl - INFO - Epoch [148][900/1027] lr: 1.237e-05, eta: 0:17:17, time: 0.509, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9309, loss: 2.9309 2025-04-30 03:40:57,967 - pyskl - INFO - Epoch [148][1000/1027] lr: 1.127e-05, eta: 0:16:30, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.7778, loss: 2.7778 2025-04-30 03:41:12,111 - pyskl - INFO - Saving checkpoint at 148 epochs 2025-04-30 03:41:53,329 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 03:41:53,401 - pyskl - INFO - top1_acc 0.6292 top5_acc 0.8606 2025-04-30 03:41:53,401 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 03:41:53,410 - pyskl - INFO - mean_acc 0.6323 2025-04-30 03:41:53,412 - pyskl - INFO - Epoch(val) [148][413] top1_acc: 0.6292, top5_acc: 0.8606, mean_class_accuracy: 0.6323 2025-04-30 03:42:59,364 - pyskl - INFO - Epoch [149][100/1027] lr: 9.933e-06, eta: 0:15:29, time: 0.659, data_time: 0.265, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8246, loss: 2.8246 2025-04-30 03:43:46,903 - pyskl - INFO - Epoch [149][200/1027] lr: 8.943e-06, eta: 0:14:42, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8223, loss: 2.8223 2025-04-30 03:44:36,081 - pyskl - INFO - Epoch [149][300/1027] lr: 8.005e-06, eta: 0:13:54, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9513, loss: 2.9513 2025-04-30 03:45:26,349 - pyskl - INFO - Epoch [149][400/1027] lr: 7.119e-06, eta: 0:13:07, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8650, loss: 2.8650 2025-04-30 03:46:16,528 - pyskl - INFO - Epoch [149][500/1027] lr: 6.285e-06, eta: 0:12:19, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8707, loss: 2.8707 2025-04-30 03:47:06,239 - pyskl - INFO - Epoch [149][600/1027] lr: 5.502e-06, eta: 0:11:32, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.7473, loss: 2.7473 2025-04-30 03:47:55,937 - pyskl - INFO - Epoch [149][700/1027] lr: 4.772e-06, eta: 0:10:44, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9528, loss: 2.9528 2025-04-30 03:48:44,126 - pyskl - INFO - Epoch [149][800/1027] lr: 4.094e-06, eta: 0:09:56, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8980, loss: 2.8980 2025-04-30 03:49:31,687 - pyskl - INFO - Epoch [149][900/1027] lr: 3.467e-06, eta: 0:09:09, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 2.8759, loss: 2.8759 2025-04-30 03:50:19,262 - pyskl - INFO - Epoch [149][1000/1027] lr: 2.893e-06, eta: 0:08:21, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8930, loss: 2.8930 2025-04-30 03:50:33,139 - pyskl - INFO - Saving checkpoint at 149 epochs 2025-04-30 03:51:14,005 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 03:51:14,079 - pyskl - INFO - top1_acc 0.6268 top5_acc 0.8607 2025-04-30 03:51:14,079 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 03:51:14,088 - pyskl - INFO - mean_acc 0.6316 2025-04-30 03:51:14,090 - pyskl - INFO - Epoch(val) [149][413] top1_acc: 0.6268, top5_acc: 0.8607, mean_class_accuracy: 0.6316 2025-04-30 03:52:19,518 - pyskl - INFO - Epoch [150][100/1027] lr: 2.238e-06, eta: 0:07:21, time: 0.654, data_time: 0.270, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8279, loss: 2.8279 2025-04-30 03:53:02,894 - pyskl - INFO - Epoch [150][200/1027] lr: 1.782e-06, eta: 0:06:33, time: 0.434, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8299, loss: 2.8299 2025-04-30 03:53:48,534 - pyskl - INFO - Epoch [150][300/1027] lr: 1.378e-06, eta: 0:05:46, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.7442, loss: 2.7442 2025-04-30 03:54:34,814 - pyskl - INFO - Epoch [150][400/1027] lr: 1.025e-06, eta: 0:04:58, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9454, loss: 2.9454 2025-04-30 03:55:21,475 - pyskl - INFO - Epoch [150][500/1027] lr: 7.246e-07, eta: 0:04:10, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8280, loss: 2.8280 2025-04-30 03:56:08,907 - pyskl - INFO - Epoch [150][600/1027] lr: 4.761e-07, eta: 0:03:23, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8251, loss: 2.8251 2025-04-30 03:56:55,965 - pyskl - INFO - Epoch [150][700/1027] lr: 2.796e-07, eta: 0:02:35, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9495, loss: 2.9495 2025-04-30 03:57:43,223 - pyskl - INFO - Epoch [150][800/1027] lr: 1.351e-07, eta: 0:01:48, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8072, loss: 2.8072 2025-04-30 03:58:31,454 - pyskl - INFO - Epoch [150][900/1027] lr: 4.259e-08, eta: 0:01:00, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.7622, loss: 2.7622 2025-04-30 03:59:19,170 - pyskl - INFO - Epoch [150][1000/1027] lr: 2.038e-09, eta: 0:00:12, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8580, loss: 2.8580 2025-04-30 03:59:33,511 - pyskl - INFO - Saving checkpoint at 150 epochs 2025-04-30 04:00:14,531 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 04:00:14,603 - pyskl - INFO - top1_acc 0.6295 top5_acc 0.8601 2025-04-30 04:00:14,603 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 04:00:14,612 - pyskl - INFO - mean_acc 0.6299 2025-04-30 04:00:14,614 - pyskl - INFO - Epoch(val) [150][413] top1_acc: 0.6295, top5_acc: 0.8601, mean_class_accuracy: 0.6299 2025-04-30 04:00:24,612 - pyskl - INFO - 6599 videos remain after valid thresholding 2025-04-30 04:04:18,394 - pyskl - INFO - Testing results of the last checkpoint 2025-04-30 04:04:18,394 - pyskl - INFO - top1_acc: 0.6349 2025-04-30 04:04:18,394 - pyskl - INFO - top5_acc: 0.8700 2025-04-30 04:04:18,394 - pyskl - INFO - mean_class_accuracy: 0.6363 2025-04-30 04:04:18,395 - pyskl - INFO - load checkpoint from local path: ./work_dirs/uav_csv2/bm/best_top1_acc_epoch_139.pth 2025-04-30 04:08:16,427 - pyskl - INFO - Testing results of the best checkpoint 2025-04-30 04:08:16,427 - pyskl - INFO - top1_acc: 0.6360 2025-04-30 04:08:16,427 - pyskl - INFO - top5_acc: 0.8701 2025-04-30 04:08:16,427 - pyskl - INFO - mean_class_accuracy: 0.6394