2025-04-30 04:13:18,212 - 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+ ------------------------------------------------------------ 2025-04-30 04:13:18,524 - pyskl - INFO - Config: modality = 'km' graph = 'uav' work_dir = './work_dirs/uav_csv2/km' 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/km', 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=['km']), 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=['km']), 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=['km']), 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=['km']), 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=['km']), 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=['km']), 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) 2025-04-30 04:13:18,524 - pyskl - INFO - Set random seed to 382718318, deterministic: False 2025-04-30 04:13:31,240 - pyskl - INFO - 16432 videos remain after valid thresholding 2025-04-30 04:13:39,109 - pyskl - INFO - 6599 videos remain after valid thresholding 2025-04-30 04:13:39,154 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/uav_csv2/km 2025-04-30 04:13:39,154 - 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 -------------------- 2025-04-30 04:13:39,154 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2025-04-30 04:13:39,155 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/uav_csv2/km by HardDiskBackend. 2025-04-30 04:14:44,379 - pyskl - INFO - Epoch [1][100/1027] lr: 2.500e-02, eta: 1 day, 3:53:25, time: 0.652, data_time: 0.273, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0475, loss_cls: 12.6523, loss: 12.6523 2025-04-30 04:15:21,442 - pyskl - INFO - Epoch [1][200/1027] lr: 2.500e-02, eta: 21:51:19, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.0094, top5_acc: 0.0494, loss_cls: 12.1027, loss: 12.1027 2025-04-30 04:15:58,558 - pyskl - INFO - Epoch [1][300/1027] lr: 2.500e-02, eta: 19:50:40, time: 0.371, data_time: 0.000, memory: 7959, top1_acc: 0.0112, top5_acc: 0.0612, loss_cls: 11.9553, loss: 11.9553 2025-04-30 04:16:36,547 - pyskl - INFO - Epoch [1][400/1027] lr: 2.500e-02, eta: 18:55:38, time: 0.380, data_time: 0.000, memory: 7959, top1_acc: 0.0125, top5_acc: 0.0656, loss_cls: 11.7549, loss: 11.7549 2025-04-30 04:17:18,917 - pyskl - INFO - Epoch [1][500/1027] lr: 2.500e-02, eta: 18:44:46, time: 0.424, data_time: 0.000, memory: 7959, top1_acc: 0.0119, top5_acc: 0.0587, loss_cls: 11.7234, loss: 11.7234 2025-04-30 04:18:03,357 - pyskl - INFO - Epoch [1][600/1027] lr: 2.500e-02, eta: 18:46:07, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.0200, top5_acc: 0.0675, loss_cls: 11.7046, loss: 11.7046 2025-04-30 04:18:48,234 - pyskl - INFO - Epoch [1][700/1027] lr: 2.500e-02, eta: 18:48:28, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.0088, top5_acc: 0.0706, loss_cls: 11.6426, loss: 11.6426 2025-04-30 04:19:33,828 - pyskl - INFO - Epoch [1][800/1027] lr: 2.500e-02, eta: 18:52:19, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.0150, top5_acc: 0.0737, loss_cls: 11.5989, loss: 11.5989 2025-04-30 04:20:18,757 - pyskl - INFO - Epoch [1][900/1027] lr: 2.500e-02, eta: 18:53:17, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.0081, top5_acc: 0.0656, loss_cls: 11.6653, loss: 11.6653 2025-04-30 04:21:05,131 - pyskl - INFO - Epoch [1][1000/1027] lr: 2.500e-02, eta: 18:57:34, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.0169, top5_acc: 0.0769, loss_cls: 11.5929, loss: 11.5929 2025-04-30 04:21:18,818 - pyskl - INFO - Saving checkpoint at 1 epochs 2025-04-30 04:21:58,552 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 04:21:58,610 - pyskl - INFO - top1_acc 0.0152 top5_acc 0.0712 2025-04-30 04:21:58,610 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 04:21:58,618 - pyskl - INFO - mean_acc 0.0160 2025-04-30 04:22:00,269 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2025-04-30 04:22:00,270 - pyskl - INFO - Best top1_acc is 0.0152 at 1 epoch. 2025-04-30 04:22:00,275 - pyskl - INFO - Epoch(val) [1][413] top1_acc: 0.0152, top5_acc: 0.0712, mean_class_accuracy: 0.0160 2025-04-30 04:23:04,923 - pyskl - INFO - Epoch [2][100/1027] lr: 2.500e-02, eta: 19:14:44, time: 0.646, data_time: 0.265, memory: 7959, top1_acc: 0.0138, top5_acc: 0.0775, loss_cls: 11.5904, loss: 11.5904 2025-04-30 04:23:47,869 - pyskl - INFO - Epoch [2][200/1027] lr: 2.500e-02, eta: 19:09:04, time: 0.429, data_time: 0.000, memory: 7959, top1_acc: 0.0169, top5_acc: 0.0775, loss_cls: 11.5693, loss: 11.5693 2025-04-30 04:24:33,979 - pyskl - INFO - Epoch [2][300/1027] lr: 2.500e-02, eta: 19:10:14, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.0225, top5_acc: 0.0938, loss_cls: 11.5082, loss: 11.5082 2025-04-30 04:25:21,049 - pyskl - INFO - Epoch [2][400/1027] lr: 2.499e-02, eta: 19:12:50, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.0163, top5_acc: 0.0856, loss_cls: 11.4889, loss: 11.4889 2025-04-30 04:26:07,326 - pyskl - INFO - Epoch [2][500/1027] lr: 2.499e-02, eta: 19:13:40, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.0225, top5_acc: 0.0881, loss_cls: 11.4701, loss: 11.4701 2025-04-30 04:26:54,746 - pyskl - INFO - Epoch [2][600/1027] lr: 2.499e-02, eta: 19:16:05, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.0244, top5_acc: 0.0969, loss_cls: 11.4323, loss: 11.4323 2025-04-30 04:27:41,697 - pyskl - INFO - Epoch [2][700/1027] lr: 2.499e-02, eta: 19:17:27, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.0181, top5_acc: 0.0912, loss_cls: 11.4449, loss: 11.4449 2025-04-30 04:28:28,754 - pyskl - INFO - Epoch [2][800/1027] lr: 2.499e-02, eta: 19:18:43, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.0156, top5_acc: 0.1069, loss_cls: 11.3249, loss: 11.3249 2025-04-30 04:29:15,709 - pyskl - INFO - Epoch [2][900/1027] lr: 2.499e-02, eta: 19:19:39, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.0238, top5_acc: 0.1144, loss_cls: 11.2451, loss: 11.2451 2025-04-30 04:30:02,942 - pyskl - INFO - Epoch [2][1000/1027] lr: 2.499e-02, eta: 19:20:45, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.0250, top5_acc: 0.1225, loss_cls: 11.2742, loss: 11.2742 2025-04-30 04:30:16,310 - pyskl - INFO - Saving checkpoint at 2 epochs 2025-04-30 04:30:56,190 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 04:30:56,264 - pyskl - INFO - top1_acc 0.0359 top5_acc 0.1465 2025-04-30 04:30:56,264 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 04:30:56,272 - pyskl - INFO - mean_acc 0.0371 2025-04-30 04:30:56,336 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_1.pth was removed 2025-04-30 04:30:57,970 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2025-04-30 04:30:57,972 - pyskl - INFO - Best top1_acc is 0.0359 at 2 epoch. 2025-04-30 04:30:57,975 - pyskl - INFO - Epoch(val) [2][413] top1_acc: 0.0359, top5_acc: 0.1465, mean_class_accuracy: 0.0371 2025-04-30 04:32:01,731 - pyskl - INFO - Epoch [3][100/1027] lr: 2.499e-02, eta: 19:26:19, time: 0.637, data_time: 0.258, memory: 7959, top1_acc: 0.0369, top5_acc: 0.1419, loss_cls: 11.1461, loss: 11.1461 2025-04-30 04:32:45,039 - pyskl - INFO - Epoch [3][200/1027] lr: 2.499e-02, eta: 19:22:27, time: 0.433, data_time: 0.000, memory: 7959, top1_acc: 0.0325, top5_acc: 0.1369, loss_cls: 11.1794, loss: 11.1794 2025-04-30 04:33:30,757 - pyskl - INFO - Epoch [3][300/1027] lr: 2.499e-02, eta: 19:21:26, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.0306, top5_acc: 0.1256, loss_cls: 11.0924, loss: 11.0924 2025-04-30 04:34:17,091 - pyskl - INFO - Epoch [3][400/1027] lr: 2.498e-02, eta: 19:21:05, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.0350, top5_acc: 0.1369, loss_cls: 11.0793, loss: 11.0793 2025-04-30 04:35:04,451 - pyskl - INFO - Epoch [3][500/1027] lr: 2.498e-02, eta: 19:21:42, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.0356, top5_acc: 0.1450, loss_cls: 11.0155, loss: 11.0155 2025-04-30 04:35:52,585 - pyskl - INFO - Epoch [3][600/1027] lr: 2.498e-02, eta: 19:22:57, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.0319, top5_acc: 0.1475, loss_cls: 10.8952, loss: 10.8952 2025-04-30 04:36:42,977 - pyskl - INFO - Epoch [3][700/1027] lr: 2.498e-02, eta: 19:26:07, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.0437, top5_acc: 0.1487, loss_cls: 10.9270, loss: 10.9270 2025-04-30 04:37:33,009 - pyskl - INFO - Epoch [3][800/1027] lr: 2.498e-02, eta: 19:28:42, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.0394, top5_acc: 0.1713, loss_cls: 10.8626, loss: 10.8626 2025-04-30 04:38:23,387 - pyskl - INFO - Epoch [3][900/1027] lr: 2.498e-02, eta: 19:31:20, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.0462, top5_acc: 0.1675, loss_cls: 10.7333, loss: 10.7333 2025-04-30 04:39:15,022 - pyskl - INFO - Epoch [3][1000/1027] lr: 2.498e-02, eta: 19:34:47, time: 0.516, data_time: 0.000, memory: 7959, top1_acc: 0.0488, top5_acc: 0.1600, loss_cls: 10.6968, loss: 10.6968 2025-04-30 04:39:29,702 - pyskl - INFO - Saving checkpoint at 3 epochs 2025-04-30 04:40:11,093 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 04:40:11,164 - pyskl - INFO - top1_acc 0.0576 top5_acc 0.1997 2025-04-30 04:40:11,164 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 04:40:11,171 - pyskl - INFO - mean_acc 0.0631 2025-04-30 04:40:11,244 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_2.pth was removed 2025-04-30 04:40:12,865 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2025-04-30 04:40:12,867 - pyskl - INFO - Best top1_acc is 0.0576 at 3 epoch. 2025-04-30 04:40:12,870 - pyskl - INFO - Epoch(val) [3][413] top1_acc: 0.0576, top5_acc: 0.1997, mean_class_accuracy: 0.0631 2025-04-30 04:41:17,838 - pyskl - INFO - Epoch [4][100/1027] lr: 2.497e-02, eta: 19:38:17, time: 0.650, data_time: 0.255, memory: 7959, top1_acc: 0.0431, top5_acc: 0.1700, loss_cls: 10.8148, loss: 10.8148 2025-04-30 04:42:03,469 - pyskl - INFO - Epoch [4][200/1027] lr: 2.497e-02, eta: 19:36:33, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.0525, top5_acc: 0.2025, loss_cls: 10.6163, loss: 10.6163 2025-04-30 04:42:51,454 - pyskl - INFO - Epoch [4][300/1027] lr: 2.497e-02, eta: 19:36:38, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.0544, top5_acc: 0.1988, loss_cls: 10.6271, loss: 10.6271 2025-04-30 04:43:39,746 - pyskl - INFO - Epoch [4][400/1027] lr: 2.497e-02, eta: 19:36:53, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.0544, top5_acc: 0.2106, loss_cls: 10.6210, loss: 10.6210 2025-04-30 04:44:29,261 - pyskl - INFO - Epoch [4][500/1027] lr: 2.497e-02, eta: 19:37:56, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.0563, top5_acc: 0.2006, loss_cls: 10.5651, loss: 10.5651 2025-04-30 04:45:19,829 - pyskl - INFO - Epoch [4][600/1027] lr: 2.496e-02, eta: 19:39:36, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.0619, top5_acc: 0.2150, loss_cls: 10.5287, loss: 10.5287 2025-04-30 04:46:09,328 - pyskl - INFO - Epoch [4][700/1027] lr: 2.496e-02, eta: 19:40:26, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.0569, top5_acc: 0.2238, loss_cls: 10.4565, loss: 10.4565 2025-04-30 04:46:59,254 - pyskl - INFO - Epoch [4][800/1027] lr: 2.496e-02, eta: 19:41:27, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.0675, top5_acc: 0.2600, loss_cls: 10.2979, loss: 10.2979 2025-04-30 04:47:49,147 - pyskl - INFO - Epoch [4][900/1027] lr: 2.496e-02, eta: 19:42:21, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.0681, top5_acc: 0.2406, loss_cls: 10.3900, loss: 10.3900 2025-04-30 04:48:37,560 - pyskl - INFO - Epoch [4][1000/1027] lr: 2.496e-02, eta: 19:42:15, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.0781, top5_acc: 0.2769, loss_cls: 10.2625, loss: 10.2625 2025-04-30 04:48:51,582 - pyskl - INFO - Saving checkpoint at 4 epochs 2025-04-30 04:49:32,058 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 04:49:32,139 - pyskl - INFO - top1_acc 0.1021 top5_acc 0.3301 2025-04-30 04:49:32,139 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 04:49:32,147 - pyskl - INFO - mean_acc 0.1026 2025-04-30 04:49:32,213 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_3.pth was removed 2025-04-30 04:49:33,886 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2025-04-30 04:49:33,887 - pyskl - INFO - Best top1_acc is 0.1021 at 4 epoch. 2025-04-30 04:49:33,891 - pyskl - INFO - Epoch(val) [4][413] top1_acc: 0.1021, top5_acc: 0.3301, mean_class_accuracy: 0.1026 2025-04-30 04:50:38,922 - pyskl - INFO - Epoch [5][100/1027] lr: 2.495e-02, eta: 19:44:12, time: 0.650, data_time: 0.262, memory: 7959, top1_acc: 0.0850, top5_acc: 0.2850, loss_cls: 10.2270, loss: 10.2270 2025-04-30 04:51:23,482 - pyskl - INFO - Epoch [5][200/1027] lr: 2.495e-02, eta: 19:41:45, time: 0.446, data_time: 0.000, memory: 7959, top1_acc: 0.0819, top5_acc: 0.2938, loss_cls: 10.2021, loss: 10.2021 2025-04-30 04:52:10,224 - pyskl - INFO - Epoch [5][300/1027] lr: 2.495e-02, eta: 19:40:37, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.0944, top5_acc: 0.3063, loss_cls: 10.1289, loss: 10.1289 2025-04-30 04:52:56,682 - pyskl - INFO - Epoch [5][400/1027] lr: 2.495e-02, eta: 19:39:20, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.0931, top5_acc: 0.3225, loss_cls: 9.9674, loss: 9.9674 2025-04-30 04:53:44,845 - pyskl - INFO - Epoch [5][500/1027] lr: 2.494e-02, eta: 19:39:00, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.0894, top5_acc: 0.3100, loss_cls: 10.0794, loss: 10.0794 2025-04-30 04:54:31,308 - pyskl - INFO - Epoch [5][600/1027] lr: 2.494e-02, eta: 19:37:45, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.1025, top5_acc: 0.3312, loss_cls: 9.9077, loss: 9.9077 2025-04-30 04:55:18,659 - pyskl - INFO - Epoch [5][700/1027] lr: 2.494e-02, eta: 19:36:59, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.1100, top5_acc: 0.3312, loss_cls: 9.9822, loss: 9.9822 2025-04-30 04:56:06,664 - pyskl - INFO - Epoch [5][800/1027] lr: 2.494e-02, eta: 19:36:32, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.0969, top5_acc: 0.3575, loss_cls: 9.9845, loss: 9.9845 2025-04-30 04:56:53,798 - pyskl - INFO - Epoch [5][900/1027] lr: 2.493e-02, eta: 19:35:39, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.1131, top5_acc: 0.3656, loss_cls: 9.8429, loss: 9.8429 2025-04-30 04:57:41,119 - pyskl - INFO - Epoch [5][1000/1027] lr: 2.493e-02, eta: 19:34:52, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.1087, top5_acc: 0.3669, loss_cls: 9.8386, loss: 9.8386 2025-04-30 04:57:54,916 - pyskl - INFO - Saving checkpoint at 5 epochs 2025-04-30 04:58:34,723 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 04:58:34,797 - pyskl - INFO - top1_acc 0.1538 top5_acc 0.4551 2025-04-30 04:58:34,798 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 04:58:34,808 - pyskl - INFO - mean_acc 0.1556 2025-04-30 04:58:34,876 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_4.pth was removed 2025-04-30 04:58:36,475 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. 2025-04-30 04:58:36,476 - pyskl - INFO - Best top1_acc is 0.1538 at 5 epoch. 2025-04-30 04:58:36,479 - pyskl - INFO - Epoch(val) [5][413] top1_acc: 0.1538, top5_acc: 0.4551, mean_class_accuracy: 0.1556 2025-04-30 04:59:40,816 - pyskl - INFO - Epoch [6][100/1027] lr: 2.493e-02, eta: 19:35:52, time: 0.643, data_time: 0.260, memory: 7959, top1_acc: 0.1237, top5_acc: 0.3919, loss_cls: 9.7491, loss: 9.7491 2025-04-30 05:00:24,847 - pyskl - INFO - Epoch [6][200/1027] lr: 2.493e-02, eta: 19:33:30, time: 0.440, data_time: 0.000, memory: 7959, top1_acc: 0.1294, top5_acc: 0.4031, loss_cls: 9.6797, loss: 9.6797 2025-04-30 05:01:11,944 - pyskl - INFO - Epoch [6][300/1027] lr: 2.492e-02, eta: 19:32:36, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.1400, top5_acc: 0.4006, loss_cls: 9.6176, loss: 9.6176 2025-04-30 05:01:59,559 - pyskl - INFO - Epoch [6][400/1027] lr: 2.492e-02, eta: 19:31:56, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.1200, top5_acc: 0.3881, loss_cls: 9.7035, loss: 9.7035 2025-04-30 05:02:47,215 - pyskl - INFO - Epoch [6][500/1027] lr: 2.492e-02, eta: 19:31:17, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.1187, top5_acc: 0.4006, loss_cls: 9.5997, loss: 9.5997 2025-04-30 05:03:34,503 - pyskl - INFO - Epoch [6][600/1027] lr: 2.491e-02, eta: 19:30:28, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.1344, top5_acc: 0.3962, loss_cls: 9.6835, loss: 9.6835 2025-04-30 05:04:22,640 - pyskl - INFO - Epoch [6][700/1027] lr: 2.491e-02, eta: 19:30:00, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.1481, top5_acc: 0.4100, loss_cls: 9.6262, loss: 9.6262 2025-04-30 05:05:10,206 - pyskl - INFO - Epoch [6][800/1027] lr: 2.491e-02, eta: 19:29:18, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.1406, top5_acc: 0.4150, loss_cls: 9.6518, loss: 9.6518 2025-04-30 05:05:58,076 - pyskl - INFO - Epoch [6][900/1027] lr: 2.491e-02, eta: 19:28:43, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.1519, top5_acc: 0.4256, loss_cls: 9.4913, loss: 9.4913 2025-04-30 05:06:46,278 - pyskl - INFO - Epoch [6][1000/1027] lr: 2.490e-02, eta: 19:28:15, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.1475, top5_acc: 0.4356, loss_cls: 9.5309, loss: 9.5309 2025-04-30 05:06:59,980 - pyskl - INFO - Saving checkpoint at 6 epochs 2025-04-30 05:07:40,210 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 05:07:40,284 - pyskl - INFO - top1_acc 0.1914 top5_acc 0.5170 2025-04-30 05:07:40,285 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 05:07:40,292 - pyskl - INFO - mean_acc 0.1925 2025-04-30 05:07:40,360 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_5.pth was removed 2025-04-30 05:07:42,007 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. 2025-04-30 05:07:42,008 - pyskl - INFO - Best top1_acc is 0.1914 at 6 epoch. 2025-04-30 05:07:42,011 - pyskl - INFO - Epoch(val) [6][413] top1_acc: 0.1914, top5_acc: 0.5170, mean_class_accuracy: 0.1925 2025-04-30 05:08:46,042 - pyskl - INFO - Epoch [7][100/1027] lr: 2.490e-02, eta: 19:28:46, time: 0.640, data_time: 0.258, memory: 7959, top1_acc: 0.1556, top5_acc: 0.4469, loss_cls: 9.3508, loss: 9.3508 2025-04-30 05:09:30,128 - pyskl - INFO - Epoch [7][200/1027] lr: 2.489e-02, eta: 19:26:40, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.1375, top5_acc: 0.4037, loss_cls: 9.5426, loss: 9.5426 2025-04-30 05:10:15,933 - pyskl - INFO - Epoch [7][300/1027] lr: 2.489e-02, eta: 19:25:16, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.1406, top5_acc: 0.4319, loss_cls: 9.5219, loss: 9.5219 2025-04-30 05:11:02,640 - pyskl - INFO - Epoch [7][400/1027] lr: 2.489e-02, eta: 19:24:14, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.1575, top5_acc: 0.4506, loss_cls: 9.3052, loss: 9.3052 2025-04-30 05:11:49,362 - pyskl - INFO - Epoch [7][500/1027] lr: 2.488e-02, eta: 19:23:12, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.1562, top5_acc: 0.4525, loss_cls: 9.2925, loss: 9.2925 2025-04-30 05:12:36,926 - pyskl - INFO - Epoch [7][600/1027] lr: 2.488e-02, eta: 19:22:30, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.1475, top5_acc: 0.4494, loss_cls: 9.4047, loss: 9.4047 2025-04-30 05:13:24,530 - pyskl - INFO - Epoch [7][700/1027] lr: 2.488e-02, eta: 19:21:48, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.1581, top5_acc: 0.4631, loss_cls: 9.2500, loss: 9.2500 2025-04-30 05:14:12,049 - pyskl - INFO - Epoch [7][800/1027] lr: 2.487e-02, eta: 19:21:04, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.1475, top5_acc: 0.4306, loss_cls: 9.4448, loss: 9.4448 2025-04-30 05:14:58,805 - pyskl - INFO - Epoch [7][900/1027] lr: 2.487e-02, eta: 19:20:04, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.1650, top5_acc: 0.4356, loss_cls: 9.4525, loss: 9.4525 2025-04-30 05:15:46,661 - pyskl - INFO - Epoch [7][1000/1027] lr: 2.487e-02, eta: 19:19:26, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.1713, top5_acc: 0.4637, loss_cls: 9.2326, loss: 9.2326 2025-04-30 05:16:00,184 - pyskl - INFO - Saving checkpoint at 7 epochs 2025-04-30 05:16:40,705 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 05:16:40,787 - pyskl - INFO - top1_acc 0.2240 top5_acc 0.5893 2025-04-30 05:16:40,787 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 05:16:40,795 - pyskl - INFO - mean_acc 0.2282 2025-04-30 05:16:40,864 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_6.pth was removed 2025-04-30 05:16:42,777 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. 2025-04-30 05:16:42,779 - pyskl - INFO - Best top1_acc is 0.2240 at 7 epoch. 2025-04-30 05:16:42,783 - pyskl - INFO - Epoch(val) [7][413] top1_acc: 0.2240, top5_acc: 0.5893, mean_class_accuracy: 0.2282 2025-04-30 05:17:47,426 - pyskl - INFO - Epoch [8][100/1027] lr: 2.486e-02, eta: 19:19:57, time: 0.646, data_time: 0.266, memory: 7959, top1_acc: 0.1713, top5_acc: 0.4750, loss_cls: 9.2249, loss: 9.2249 2025-04-30 05:18:31,732 - pyskl - INFO - Epoch [8][200/1027] lr: 2.486e-02, eta: 19:18:07, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.1744, top5_acc: 0.4775, loss_cls: 9.2081, loss: 9.2081 2025-04-30 05:19:17,533 - pyskl - INFO - Epoch [8][300/1027] lr: 2.485e-02, eta: 19:16:49, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.1600, top5_acc: 0.4788, loss_cls: 9.2035, loss: 9.2035 2025-04-30 05:20:04,704 - pyskl - INFO - Epoch [8][400/1027] lr: 2.485e-02, eta: 19:15:58, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.1938, top5_acc: 0.4938, loss_cls: 9.0841, loss: 9.0841 2025-04-30 05:20:52,374 - pyskl - INFO - Epoch [8][500/1027] lr: 2.485e-02, eta: 19:15:17, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.1812, top5_acc: 0.5038, loss_cls: 9.0718, loss: 9.0718 2025-04-30 05:21:39,936 - pyskl - INFO - Epoch [8][600/1027] lr: 2.484e-02, eta: 19:14:33, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.1906, top5_acc: 0.4713, loss_cls: 9.1879, loss: 9.1879 2025-04-30 05:22:26,458 - pyskl - INFO - Epoch [8][700/1027] lr: 2.484e-02, eta: 19:13:30, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.1831, top5_acc: 0.4838, loss_cls: 9.2303, loss: 9.2303 2025-04-30 05:23:13,146 - pyskl - INFO - Epoch [8][800/1027] lr: 2.483e-02, eta: 19:12:31, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.1819, top5_acc: 0.4844, loss_cls: 9.1242, loss: 9.1242 2025-04-30 05:24:01,242 - pyskl - INFO - Epoch [8][900/1027] lr: 2.483e-02, eta: 19:11:57, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.1869, top5_acc: 0.5012, loss_cls: 9.1200, loss: 9.1200 2025-04-30 05:24:47,870 - pyskl - INFO - Epoch [8][1000/1027] lr: 2.483e-02, eta: 19:10:57, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.1963, top5_acc: 0.5156, loss_cls: 9.0827, loss: 9.0827 2025-04-30 05:25:01,189 - pyskl - INFO - Saving checkpoint at 8 epochs 2025-04-30 05:25:40,960 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 05:25:41,034 - pyskl - INFO - top1_acc 0.2352 top5_acc 0.5928 2025-04-30 05:25:41,034 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 05:25:41,042 - pyskl - INFO - mean_acc 0.2373 2025-04-30 05:25:41,108 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_7.pth was removed 2025-04-30 05:25:42,711 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. 2025-04-30 05:25:42,713 - pyskl - INFO - Best top1_acc is 0.2352 at 8 epoch. 2025-04-30 05:25:42,716 - pyskl - INFO - Epoch(val) [8][413] top1_acc: 0.2352, top5_acc: 0.5928, mean_class_accuracy: 0.2373 2025-04-30 05:26:47,290 - pyskl - INFO - Epoch [9][100/1027] lr: 2.482e-02, eta: 19:11:14, time: 0.646, data_time: 0.266, memory: 7959, top1_acc: 0.1881, top5_acc: 0.5144, loss_cls: 8.9878, loss: 8.9878 2025-04-30 05:27:30,636 - pyskl - INFO - Epoch [9][200/1027] lr: 2.482e-02, eta: 19:09:17, time: 0.433, data_time: 0.000, memory: 7959, top1_acc: 0.1888, top5_acc: 0.5012, loss_cls: 9.1136, loss: 9.1136 2025-04-30 05:28:16,154 - pyskl - INFO - Epoch [9][300/1027] lr: 2.481e-02, eta: 19:07:58, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.2050, top5_acc: 0.5150, loss_cls: 8.9356, loss: 8.9356 2025-04-30 05:29:02,723 - pyskl - INFO - Epoch [9][400/1027] lr: 2.481e-02, eta: 19:06:58, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.2169, top5_acc: 0.5312, loss_cls: 8.9828, loss: 8.9828 2025-04-30 05:29:50,241 - pyskl - INFO - Epoch [9][500/1027] lr: 2.480e-02, eta: 19:06:14, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.2100, top5_acc: 0.5150, loss_cls: 8.9311, loss: 8.9311 2025-04-30 05:30:38,092 - pyskl - INFO - Epoch [9][600/1027] lr: 2.480e-02, eta: 19:05:35, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.1950, top5_acc: 0.5162, loss_cls: 8.9681, loss: 8.9681 2025-04-30 05:31:26,017 - pyskl - INFO - Epoch [9][700/1027] lr: 2.479e-02, eta: 19:04:58, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.2125, top5_acc: 0.5231, loss_cls: 8.9359, loss: 8.9359 2025-04-30 05:32:14,665 - pyskl - INFO - Epoch [9][800/1027] lr: 2.479e-02, eta: 19:04:31, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.2000, top5_acc: 0.5181, loss_cls: 8.9875, loss: 8.9875 2025-04-30 05:33:01,965 - pyskl - INFO - Epoch [9][900/1027] lr: 2.478e-02, eta: 19:03:43, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.2087, top5_acc: 0.5294, loss_cls: 8.9407, loss: 8.9407 2025-04-30 05:33:49,759 - pyskl - INFO - Epoch [9][1000/1027] lr: 2.478e-02, eta: 19:03:03, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.2062, top5_acc: 0.5331, loss_cls: 8.9498, loss: 8.9498 2025-04-30 05:34:03,555 - pyskl - INFO - Saving checkpoint at 9 epochs 2025-04-30 05:34:43,870 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 05:34:43,947 - pyskl - INFO - top1_acc 0.2293 top5_acc 0.5787 2025-04-30 05:34:43,948 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 05:34:43,957 - pyskl - INFO - mean_acc 0.2284 2025-04-30 05:34:43,959 - pyskl - INFO - Epoch(val) [9][413] top1_acc: 0.2293, top5_acc: 0.5787, mean_class_accuracy: 0.2284 2025-04-30 05:35:50,967 - pyskl - INFO - Epoch [10][100/1027] lr: 2.477e-02, eta: 19:03:49, time: 0.670, data_time: 0.272, memory: 7959, top1_acc: 0.2100, top5_acc: 0.5262, loss_cls: 8.9497, loss: 8.9497 2025-04-30 05:36:36,472 - pyskl - INFO - Epoch [10][200/1027] lr: 2.477e-02, eta: 19:02:32, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.2288, top5_acc: 0.5569, loss_cls: 8.7167, loss: 8.7167 2025-04-30 05:37:25,325 - pyskl - INFO - Epoch [10][300/1027] lr: 2.476e-02, eta: 19:02:07, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.2300, top5_acc: 0.5756, loss_cls: 8.7235, loss: 8.7235 2025-04-30 05:38:15,352 - pyskl - INFO - Epoch [10][400/1027] lr: 2.476e-02, eta: 19:01:58, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.2037, top5_acc: 0.5356, loss_cls: 8.8468, loss: 8.8468 2025-04-30 05:39:06,409 - pyskl - INFO - Epoch [10][500/1027] lr: 2.475e-02, eta: 19:02:04, time: 0.511, data_time: 0.000, memory: 7959, top1_acc: 0.2275, top5_acc: 0.5469, loss_cls: 8.7750, loss: 8.7750 2025-04-30 05:39:55,214 - pyskl - INFO - Epoch [10][600/1027] lr: 2.475e-02, eta: 19:01:36, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.2119, top5_acc: 0.5262, loss_cls: 8.9166, loss: 8.9166 2025-04-30 05:40:43,827 - pyskl - INFO - Epoch [10][700/1027] lr: 2.474e-02, eta: 19:01:05, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.2206, top5_acc: 0.5519, loss_cls: 8.8446, loss: 8.8446 2025-04-30 05:41:33,914 - pyskl - INFO - Epoch [10][800/1027] lr: 2.474e-02, eta: 19:00:54, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.2175, top5_acc: 0.5450, loss_cls: 8.8736, loss: 8.8736 2025-04-30 05:42:24,269 - pyskl - INFO - Epoch [10][900/1027] lr: 2.473e-02, eta: 19:00:47, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.2300, top5_acc: 0.5400, loss_cls: 8.8154, loss: 8.8154 2025-04-30 05:43:15,375 - pyskl - INFO - Epoch [10][1000/1027] lr: 2.473e-02, eta: 19:00:49, time: 0.511, data_time: 0.000, memory: 7959, top1_acc: 0.2350, top5_acc: 0.5644, loss_cls: 8.7542, loss: 8.7542 2025-04-30 05:43:29,914 - pyskl - INFO - Saving checkpoint at 10 epochs 2025-04-30 05:44:12,618 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 05:44:12,692 - pyskl - INFO - top1_acc 0.2728 top5_acc 0.6463 2025-04-30 05:44:12,692 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 05:44:12,700 - pyskl - INFO - mean_acc 0.2721 2025-04-30 05:44:12,765 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_8.pth was removed 2025-04-30 05:44:14,394 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. 2025-04-30 05:44:14,395 - pyskl - INFO - Best top1_acc is 0.2728 at 10 epoch. 2025-04-30 05:44:14,399 - pyskl - INFO - Epoch(val) [10][413] top1_acc: 0.2728, top5_acc: 0.6463, mean_class_accuracy: 0.2721 2025-04-30 05:45:20,172 - pyskl - INFO - Epoch [11][100/1027] lr: 2.472e-02, eta: 19:01:02, time: 0.658, data_time: 0.257, memory: 7959, top1_acc: 0.2450, top5_acc: 0.5681, loss_cls: 8.6230, loss: 8.6230 2025-04-30 05:46:06,421 - pyskl - INFO - Epoch [11][200/1027] lr: 2.472e-02, eta: 18:59:55, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.2356, top5_acc: 0.5519, loss_cls: 8.6345, loss: 8.6345 2025-04-30 05:46:54,094 - pyskl - INFO - Epoch [11][300/1027] lr: 2.471e-02, eta: 18:59:08, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.2550, top5_acc: 0.5725, loss_cls: 8.7388, loss: 8.7388 2025-04-30 05:47:42,928 - pyskl - INFO - Epoch [11][400/1027] lr: 2.471e-02, eta: 18:58:36, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.2487, top5_acc: 0.5744, loss_cls: 8.5715, loss: 8.5715 2025-04-30 05:48:31,076 - pyskl - INFO - Epoch [11][500/1027] lr: 2.470e-02, eta: 18:57:55, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.2381, top5_acc: 0.5675, loss_cls: 8.6544, loss: 8.6544 2025-04-30 05:49:18,688 - pyskl - INFO - Epoch [11][600/1027] lr: 2.469e-02, eta: 18:57:07, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.2325, top5_acc: 0.5525, loss_cls: 8.7171, loss: 8.7171 2025-04-30 05:50:05,813 - pyskl - INFO - Epoch [11][700/1027] lr: 2.469e-02, eta: 18:56:13, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.2369, top5_acc: 0.5656, loss_cls: 8.6214, loss: 8.6214 2025-04-30 05:50:52,719 - pyskl - INFO - Epoch [11][800/1027] lr: 2.468e-02, eta: 18:55:16, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.2525, top5_acc: 0.5806, loss_cls: 8.5995, loss: 8.5995 2025-04-30 05:51:40,122 - pyskl - INFO - Epoch [11][900/1027] lr: 2.468e-02, eta: 18:54:25, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.2475, top5_acc: 0.5800, loss_cls: 8.5444, loss: 8.5444 2025-04-30 05:52:27,034 - pyskl - INFO - Epoch [11][1000/1027] lr: 2.467e-02, eta: 18:53:28, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.2456, top5_acc: 0.5613, loss_cls: 8.6676, loss: 8.6676 2025-04-30 05:52:40,336 - pyskl - INFO - Saving checkpoint at 11 epochs 2025-04-30 05:53:20,496 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 05:53:20,569 - pyskl - INFO - top1_acc 0.2705 top5_acc 0.6363 2025-04-30 05:53:20,569 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 05:53:20,576 - pyskl - INFO - mean_acc 0.2709 2025-04-30 05:53:20,578 - pyskl - INFO - Epoch(val) [11][413] top1_acc: 0.2705, top5_acc: 0.6363, mean_class_accuracy: 0.2709 2025-04-30 05:54:24,334 - pyskl - INFO - Epoch [12][100/1027] lr: 2.466e-02, eta: 18:53:08, time: 0.638, data_time: 0.255, memory: 7959, top1_acc: 0.2506, top5_acc: 0.5731, loss_cls: 8.5056, loss: 8.5056 2025-04-30 05:55:07,965 - pyskl - INFO - Epoch [12][200/1027] lr: 2.466e-02, eta: 18:51:31, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.2687, top5_acc: 0.5913, loss_cls: 8.5425, loss: 8.5425 2025-04-30 05:55:52,914 - pyskl - INFO - Epoch [12][300/1027] lr: 2.465e-02, eta: 18:50:10, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.2344, top5_acc: 0.5725, loss_cls: 8.5913, loss: 8.5913 2025-04-30 05:56:39,907 - pyskl - INFO - Epoch [12][400/1027] lr: 2.465e-02, eta: 18:49:15, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.2531, top5_acc: 0.5737, loss_cls: 8.5900, loss: 8.5900 2025-04-30 05:57:27,013 - pyskl - INFO - Epoch [12][500/1027] lr: 2.464e-02, eta: 18:48:22, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.2506, top5_acc: 0.5775, loss_cls: 8.5621, loss: 8.5621 2025-04-30 05:58:15,555 - pyskl - INFO - Epoch [12][600/1027] lr: 2.463e-02, eta: 18:47:45, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.2450, top5_acc: 0.5750, loss_cls: 8.4938, loss: 8.4938 2025-04-30 05:59:03,258 - pyskl - INFO - Epoch [12][700/1027] lr: 2.463e-02, eta: 18:46:59, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.2719, top5_acc: 0.5887, loss_cls: 8.5549, loss: 8.5549 2025-04-30 05:59:51,521 - pyskl - INFO - Epoch [12][800/1027] lr: 2.462e-02, eta: 18:46:19, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.2500, top5_acc: 0.5744, loss_cls: 8.5891, loss: 8.5891 2025-04-30 06:00:39,585 - pyskl - INFO - Epoch [12][900/1027] lr: 2.462e-02, eta: 18:45:37, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.2556, top5_acc: 0.5756, loss_cls: 8.5591, loss: 8.5591 2025-04-30 06:01:27,065 - pyskl - INFO - Epoch [12][1000/1027] lr: 2.461e-02, eta: 18:44:48, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.2587, top5_acc: 0.5775, loss_cls: 8.6072, loss: 8.6072 2025-04-30 06:01:40,795 - pyskl - INFO - Saving checkpoint at 12 epochs 2025-04-30 06:02:20,857 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 06:02:20,931 - pyskl - INFO - top1_acc 0.2997 top5_acc 0.6693 2025-04-30 06:02:20,931 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 06:02:20,938 - pyskl - INFO - mean_acc 0.2965 2025-04-30 06:02:21,004 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_10.pth was removed 2025-04-30 06:02:22,638 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. 2025-04-30 06:02:22,639 - pyskl - INFO - Best top1_acc is 0.2997 at 12 epoch. 2025-04-30 06:02:22,642 - pyskl - INFO - Epoch(val) [12][413] top1_acc: 0.2997, top5_acc: 0.6693, mean_class_accuracy: 0.2965 2025-04-30 06:03:26,565 - pyskl - INFO - Epoch [13][100/1027] lr: 2.460e-02, eta: 18:44:27, time: 0.639, data_time: 0.258, memory: 7959, top1_acc: 0.2850, top5_acc: 0.5906, loss_cls: 8.4159, loss: 8.4159 2025-04-30 06:04:10,168 - pyskl - INFO - Epoch [13][200/1027] lr: 2.459e-02, eta: 18:42:53, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.2681, top5_acc: 0.5906, loss_cls: 8.4385, loss: 8.4385 2025-04-30 06:04:56,324 - pyskl - INFO - Epoch [13][300/1027] lr: 2.459e-02, eta: 18:41:49, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.2737, top5_acc: 0.5881, loss_cls: 8.4034, loss: 8.4034 2025-04-30 06:05:43,300 - pyskl - INFO - Epoch [13][400/1027] lr: 2.458e-02, eta: 18:40:55, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.2544, top5_acc: 0.5900, loss_cls: 8.5460, loss: 8.5460 2025-04-30 06:06:29,867 - pyskl - INFO - Epoch [13][500/1027] lr: 2.458e-02, eta: 18:39:56, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.2694, top5_acc: 0.5856, loss_cls: 8.4922, loss: 8.4922 2025-04-30 06:07:17,492 - pyskl - INFO - Epoch [13][600/1027] lr: 2.457e-02, eta: 18:39:09, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.2731, top5_acc: 0.6088, loss_cls: 8.3642, loss: 8.3642 2025-04-30 06:08:03,702 - pyskl - INFO - Epoch [13][700/1027] lr: 2.456e-02, eta: 18:38:07, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.2556, top5_acc: 0.6069, loss_cls: 8.4739, loss: 8.4739 2025-04-30 06:08:50,863 - pyskl - INFO - Epoch [13][800/1027] lr: 2.456e-02, eta: 18:37:15, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.2675, top5_acc: 0.5919, loss_cls: 8.3990, loss: 8.3990 2025-04-30 06:09:38,132 - pyskl - INFO - Epoch [13][900/1027] lr: 2.455e-02, eta: 18:36:24, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.2650, top5_acc: 0.5950, loss_cls: 8.4187, loss: 8.4187 2025-04-30 06:10:25,650 - pyskl - INFO - Epoch [13][1000/1027] lr: 2.454e-02, eta: 18:35:36, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.2819, top5_acc: 0.6119, loss_cls: 8.4178, loss: 8.4178 2025-04-30 06:10:39,114 - pyskl - INFO - Saving checkpoint at 13 epochs 2025-04-30 06:11:18,966 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 06:11:19,040 - pyskl - INFO - top1_acc 0.3090 top5_acc 0.6748 2025-04-30 06:11:19,040 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 06:11:19,048 - pyskl - INFO - mean_acc 0.3082 2025-04-30 06:11:19,114 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_12.pth was removed 2025-04-30 06:11:20,730 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. 2025-04-30 06:11:20,731 - pyskl - INFO - Best top1_acc is 0.3090 at 13 epoch. 2025-04-30 06:11:20,734 - pyskl - INFO - Epoch(val) [13][413] top1_acc: 0.3090, top5_acc: 0.6748, mean_class_accuracy: 0.3082 2025-04-30 06:12:25,563 - pyskl - INFO - Epoch [14][100/1027] lr: 2.453e-02, eta: 18:35:22, time: 0.648, data_time: 0.266, memory: 7959, top1_acc: 0.2769, top5_acc: 0.6088, loss_cls: 8.3378, loss: 8.3378 2025-04-30 06:13:09,475 - pyskl - INFO - Epoch [14][200/1027] lr: 2.453e-02, eta: 18:33:56, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.2675, top5_acc: 0.6069, loss_cls: 8.3573, loss: 8.3573 2025-04-30 06:13:55,427 - pyskl - INFO - Epoch [14][300/1027] lr: 2.452e-02, eta: 18:32:51, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.2875, top5_acc: 0.6025, loss_cls: 8.3440, loss: 8.3440 2025-04-30 06:14:42,222 - pyskl - INFO - Epoch [14][400/1027] lr: 2.451e-02, eta: 18:31:56, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.3038, top5_acc: 0.6288, loss_cls: 8.2158, loss: 8.2158 2025-04-30 06:15:29,807 - pyskl - INFO - Epoch [14][500/1027] lr: 2.450e-02, eta: 18:31:09, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.2794, top5_acc: 0.5869, loss_cls: 8.4428, loss: 8.4428 2025-04-30 06:16:17,940 - pyskl - INFO - Epoch [14][600/1027] lr: 2.450e-02, eta: 18:30:27, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.2831, top5_acc: 0.6088, loss_cls: 8.3703, loss: 8.3703 2025-04-30 06:17:04,792 - pyskl - INFO - Epoch [14][700/1027] lr: 2.449e-02, eta: 18:29:33, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.3006, top5_acc: 0.6225, loss_cls: 8.1503, loss: 8.1503 2025-04-30 06:17:52,439 - pyskl - INFO - Epoch [14][800/1027] lr: 2.448e-02, eta: 18:28:46, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.2812, top5_acc: 0.5919, loss_cls: 8.4067, loss: 8.4067 2025-04-30 06:18:38,771 - pyskl - INFO - Epoch [14][900/1027] lr: 2.448e-02, eta: 18:27:46, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.2825, top5_acc: 0.6144, loss_cls: 8.3262, loss: 8.3262 2025-04-30 06:19:26,083 - pyskl - INFO - Epoch [14][1000/1027] lr: 2.447e-02, eta: 18:26:57, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.2700, top5_acc: 0.5925, loss_cls: 8.4635, loss: 8.4635 2025-04-30 06:19:39,589 - pyskl - INFO - Saving checkpoint at 14 epochs 2025-04-30 06:20:19,247 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 06:20:19,321 - pyskl - INFO - top1_acc 0.3085 top5_acc 0.6402 2025-04-30 06:20:19,321 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 06:20:19,329 - pyskl - INFO - mean_acc 0.3058 2025-04-30 06:20:19,331 - pyskl - INFO - Epoch(val) [14][413] top1_acc: 0.3085, top5_acc: 0.6402, mean_class_accuracy: 0.3058 2025-04-30 06:21:23,334 - pyskl - INFO - Epoch [15][100/1027] lr: 2.446e-02, eta: 18:26:31, time: 0.640, data_time: 0.257, memory: 7959, top1_acc: 0.3038, top5_acc: 0.6325, loss_cls: 8.1991, loss: 8.1991 2025-04-30 06:22:07,677 - pyskl - INFO - Epoch [15][200/1027] lr: 2.445e-02, eta: 18:25:13, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.3125, top5_acc: 0.6269, loss_cls: 8.1755, loss: 8.1755 2025-04-30 06:22:54,032 - pyskl - INFO - Epoch [15][300/1027] lr: 2.444e-02, eta: 18:24:14, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.2850, top5_acc: 0.6125, loss_cls: 8.2886, loss: 8.2886 2025-04-30 06:23:40,170 - pyskl - INFO - Epoch [15][400/1027] lr: 2.444e-02, eta: 18:23:13, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.3113, top5_acc: 0.6181, loss_cls: 8.1580, loss: 8.1580 2025-04-30 06:24:28,192 - pyskl - INFO - Epoch [15][500/1027] lr: 2.443e-02, eta: 18:22:30, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.2769, top5_acc: 0.6088, loss_cls: 8.4496, loss: 8.4496 2025-04-30 06:25:15,594 - pyskl - INFO - Epoch [15][600/1027] lr: 2.442e-02, eta: 18:21:41, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.2894, top5_acc: 0.6188, loss_cls: 8.2598, loss: 8.2598 2025-04-30 06:26:03,611 - pyskl - INFO - Epoch [15][700/1027] lr: 2.441e-02, eta: 18:20:58, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.2950, top5_acc: 0.6138, loss_cls: 8.2105, loss: 8.2105 2025-04-30 06:26:50,542 - pyskl - INFO - Epoch [15][800/1027] lr: 2.441e-02, eta: 18:20:05, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.2831, top5_acc: 0.6212, loss_cls: 8.2291, loss: 8.2291 2025-04-30 06:27:38,133 - pyskl - INFO - Epoch [15][900/1027] lr: 2.440e-02, eta: 18:19:18, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.3000, top5_acc: 0.6131, loss_cls: 8.3283, loss: 8.3283 2025-04-30 06:28:26,328 - pyskl - INFO - Epoch [15][1000/1027] lr: 2.439e-02, eta: 18:18:37, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.2988, top5_acc: 0.6256, loss_cls: 8.1716, loss: 8.1716 2025-04-30 06:28:40,077 - pyskl - INFO - Saving checkpoint at 15 epochs 2025-04-30 06:29:19,636 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 06:29:19,706 - pyskl - INFO - top1_acc 0.3031 top5_acc 0.6778 2025-04-30 06:29:19,706 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 06:29:19,713 - pyskl - INFO - mean_acc 0.3060 2025-04-30 06:29:19,715 - pyskl - INFO - Epoch(val) [15][413] top1_acc: 0.3031, top5_acc: 0.6778, mean_class_accuracy: 0.3060 2025-04-30 06:30:24,159 - pyskl - INFO - Epoch [16][100/1027] lr: 2.438e-02, eta: 18:18:13, time: 0.644, data_time: 0.256, memory: 7959, top1_acc: 0.3106, top5_acc: 0.6350, loss_cls: 8.1237, loss: 8.1237 2025-04-30 06:31:08,538 - pyskl - INFO - Epoch [16][200/1027] lr: 2.437e-02, eta: 18:16:57, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.3044, top5_acc: 0.6344, loss_cls: 8.1999, loss: 8.1999 2025-04-30 06:31:54,102 - pyskl - INFO - Epoch [16][300/1027] lr: 2.436e-02, eta: 18:15:52, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.3113, top5_acc: 0.6169, loss_cls: 8.2083, loss: 8.2083 2025-04-30 06:32:40,840 - pyskl - INFO - Epoch [16][400/1027] lr: 2.436e-02, eta: 18:14:58, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.2950, top5_acc: 0.6131, loss_cls: 8.2090, loss: 8.2090 2025-04-30 06:33:28,346 - pyskl - INFO - Epoch [16][500/1027] lr: 2.435e-02, eta: 18:14:10, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.2994, top5_acc: 0.6300, loss_cls: 8.1658, loss: 8.1658 2025-04-30 06:34:17,056 - pyskl - INFO - Epoch [16][600/1027] lr: 2.434e-02, eta: 18:13:33, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.3200, top5_acc: 0.6494, loss_cls: 8.0417, loss: 8.0417 2025-04-30 06:35:07,283 - pyskl - INFO - Epoch [16][700/1027] lr: 2.433e-02, eta: 18:13:08, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.3025, top5_acc: 0.6244, loss_cls: 8.2415, loss: 8.2415 2025-04-30 06:35:56,097 - pyskl - INFO - Epoch [16][800/1027] lr: 2.432e-02, eta: 18:12:31, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.3200, top5_acc: 0.6362, loss_cls: 8.1144, loss: 8.1144 2025-04-30 06:36:46,228 - pyskl - INFO - Epoch [16][900/1027] lr: 2.432e-02, eta: 18:12:06, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.3019, top5_acc: 0.6169, loss_cls: 8.2064, loss: 8.2064 2025-04-30 06:37:36,610 - pyskl - INFO - Epoch [16][1000/1027] lr: 2.431e-02, eta: 18:11:42, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.3013, top5_acc: 0.6106, loss_cls: 8.2106, loss: 8.2106 2025-04-30 06:37:51,218 - pyskl - INFO - Saving checkpoint at 16 epochs 2025-04-30 06:38:32,533 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 06:38:32,609 - pyskl - INFO - top1_acc 0.3544 top5_acc 0.7097 2025-04-30 06:38:32,610 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 06:38:32,618 - pyskl - INFO - mean_acc 0.3534 2025-04-30 06:38:32,682 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_13.pth was removed 2025-04-30 06:38:34,352 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. 2025-04-30 06:38:34,354 - pyskl - INFO - Best top1_acc is 0.3544 at 16 epoch. 2025-04-30 06:38:34,358 - pyskl - INFO - Epoch(val) [16][413] top1_acc: 0.3544, top5_acc: 0.7097, mean_class_accuracy: 0.3534 2025-04-30 06:39:39,421 - pyskl - INFO - Epoch [17][100/1027] lr: 2.430e-02, eta: 18:11:20, time: 0.651, data_time: 0.259, memory: 7959, top1_acc: 0.3325, top5_acc: 0.6281, loss_cls: 8.1576, loss: 8.1576 2025-04-30 06:40:25,416 - pyskl - INFO - Epoch [17][200/1027] lr: 2.429e-02, eta: 18:10:19, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.3119, top5_acc: 0.6394, loss_cls: 8.1216, loss: 8.1216 2025-04-30 06:41:14,577 - pyskl - INFO - Epoch [17][300/1027] lr: 2.428e-02, eta: 18:09:44, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.3231, top5_acc: 0.6225, loss_cls: 8.1682, loss: 8.1682 2025-04-30 06:42:05,339 - pyskl - INFO - Epoch [17][400/1027] lr: 2.427e-02, eta: 18:09:22, time: 0.508, data_time: 0.000, memory: 7959, top1_acc: 0.3156, top5_acc: 0.6444, loss_cls: 7.9763, loss: 7.9763 2025-04-30 06:42:56,643 - pyskl - INFO - Epoch [17][500/1027] lr: 2.426e-02, eta: 18:09:04, time: 0.513, data_time: 0.000, memory: 7959, top1_acc: 0.3237, top5_acc: 0.6506, loss_cls: 8.0401, loss: 8.0401 2025-04-30 06:43:46,322 - pyskl - INFO - Epoch [17][600/1027] lr: 2.425e-02, eta: 18:08:32, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.2913, top5_acc: 0.6138, loss_cls: 8.2368, loss: 8.2368 2025-04-30 06:44:36,375 - pyskl - INFO - Epoch [17][700/1027] lr: 2.424e-02, eta: 18:08:04, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.3294, top5_acc: 0.6569, loss_cls: 8.0165, loss: 8.0165 2025-04-30 06:45:26,967 - pyskl - INFO - Epoch [17][800/1027] lr: 2.424e-02, eta: 18:07:39, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.3250, top5_acc: 0.6362, loss_cls: 8.0642, loss: 8.0642 2025-04-30 06:46:16,113 - pyskl - INFO - Epoch [17][900/1027] lr: 2.423e-02, eta: 18:07:03, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.3088, top5_acc: 0.6494, loss_cls: 7.9886, loss: 7.9886 2025-04-30 06:47:04,755 - pyskl - INFO - Epoch [17][1000/1027] lr: 2.422e-02, eta: 18:06:23, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.3106, top5_acc: 0.6300, loss_cls: 8.1250, loss: 8.1250 2025-04-30 06:47:18,696 - pyskl - INFO - Saving checkpoint at 17 epochs 2025-04-30 06:47:58,967 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 06:47:59,043 - pyskl - INFO - top1_acc 0.3667 top5_acc 0.7231 2025-04-30 06:47:59,044 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 06:47:59,051 - pyskl - INFO - mean_acc 0.3612 2025-04-30 06:47:59,119 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_16.pth was removed 2025-04-30 06:48:00,764 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. 2025-04-30 06:48:00,765 - pyskl - INFO - Best top1_acc is 0.3667 at 17 epoch. 2025-04-30 06:48:00,769 - pyskl - INFO - Epoch(val) [17][413] top1_acc: 0.3667, top5_acc: 0.7231, mean_class_accuracy: 0.3612 2025-04-30 06:49:05,406 - pyskl - INFO - Epoch [18][100/1027] lr: 2.421e-02, eta: 18:05:53, time: 0.646, data_time: 0.266, memory: 7959, top1_acc: 0.3563, top5_acc: 0.6700, loss_cls: 7.8510, loss: 7.8510 2025-04-30 06:49:49,708 - pyskl - INFO - Epoch [18][200/1027] lr: 2.420e-02, eta: 18:04:39, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.3137, top5_acc: 0.6425, loss_cls: 8.1094, loss: 8.1094 2025-04-30 06:50:35,025 - pyskl - INFO - Epoch [18][300/1027] lr: 2.419e-02, eta: 18:03:33, time: 0.453, data_time: 0.000, memory: 7959, top1_acc: 0.3325, top5_acc: 0.6550, loss_cls: 7.9790, loss: 7.9790 2025-04-30 06:51:21,404 - pyskl - INFO - Epoch [18][400/1027] lr: 2.418e-02, eta: 18:02:35, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.3250, top5_acc: 0.6581, loss_cls: 7.9404, loss: 7.9404 2025-04-30 06:52:08,637 - pyskl - INFO - Epoch [18][500/1027] lr: 2.417e-02, eta: 18:01:44, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.3219, top5_acc: 0.6550, loss_cls: 8.0103, loss: 8.0103 2025-04-30 06:52:56,656 - pyskl - INFO - Epoch [18][600/1027] lr: 2.416e-02, eta: 18:00:59, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.3131, top5_acc: 0.6319, loss_cls: 8.1087, loss: 8.1087 2025-04-30 06:53:43,110 - pyskl - INFO - Epoch [18][700/1027] lr: 2.415e-02, eta: 18:00:02, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.3300, top5_acc: 0.6450, loss_cls: 7.9617, loss: 7.9617 2025-04-30 06:54:30,093 - pyskl - INFO - Epoch [18][800/1027] lr: 2.414e-02, eta: 17:59:09, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.3212, top5_acc: 0.6419, loss_cls: 8.1076, loss: 8.1076 2025-04-30 06:55:17,202 - pyskl - INFO - Epoch [18][900/1027] lr: 2.413e-02, eta: 17:58:17, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.3194, top5_acc: 0.6350, loss_cls: 8.0445, loss: 8.0445 2025-04-30 06:56:05,336 - pyskl - INFO - Epoch [18][1000/1027] lr: 2.412e-02, eta: 17:57:33, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.3331, top5_acc: 0.6481, loss_cls: 7.8742, loss: 7.8742 2025-04-30 06:56:19,029 - pyskl - INFO - Saving checkpoint at 18 epochs 2025-04-30 06:56:58,979 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 06:56:59,050 - pyskl - INFO - top1_acc 0.3596 top5_acc 0.6963 2025-04-30 06:56:59,050 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 06:56:59,057 - pyskl - INFO - mean_acc 0.3598 2025-04-30 06:56:59,058 - pyskl - INFO - Epoch(val) [18][413] top1_acc: 0.3596, top5_acc: 0.6963, mean_class_accuracy: 0.3598 2025-04-30 06:58:04,035 - pyskl - INFO - Epoch [19][100/1027] lr: 2.411e-02, eta: 17:57:04, time: 0.650, data_time: 0.265, memory: 7959, top1_acc: 0.3306, top5_acc: 0.6737, loss_cls: 7.8231, loss: 7.8231 2025-04-30 06:58:47,531 - pyskl - INFO - Epoch [19][200/1027] lr: 2.410e-02, eta: 17:55:46, time: 0.435, data_time: 0.000, memory: 7959, top1_acc: 0.3250, top5_acc: 0.6669, loss_cls: 7.8841, loss: 7.8841 2025-04-30 06:59:34,052 - pyskl - INFO - Epoch [19][300/1027] lr: 2.409e-02, eta: 17:54:50, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.3538, top5_acc: 0.6631, loss_cls: 7.9270, loss: 7.9270 2025-04-30 07:00:21,220 - pyskl - INFO - Epoch [19][400/1027] lr: 2.408e-02, eta: 17:53:59, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.3331, top5_acc: 0.6494, loss_cls: 8.0501, loss: 8.0501 2025-04-30 07:01:08,518 - pyskl - INFO - Epoch [19][500/1027] lr: 2.407e-02, eta: 17:53:08, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3381, top5_acc: 0.6625, loss_cls: 7.8768, loss: 7.8768 2025-04-30 07:01:55,051 - pyskl - INFO - Epoch [19][600/1027] lr: 2.407e-02, eta: 17:52:12, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.3306, top5_acc: 0.6500, loss_cls: 8.0564, loss: 8.0564 2025-04-30 07:02:42,714 - pyskl - INFO - Epoch [19][700/1027] lr: 2.406e-02, eta: 17:51:25, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.3456, top5_acc: 0.6594, loss_cls: 7.9649, loss: 7.9649 2025-04-30 07:03:30,567 - pyskl - INFO - Epoch [19][800/1027] lr: 2.405e-02, eta: 17:50:38, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.3256, top5_acc: 0.6525, loss_cls: 7.9487, loss: 7.9487 2025-04-30 07:04:17,975 - pyskl - INFO - Epoch [19][900/1027] lr: 2.404e-02, eta: 17:49:49, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.3300, top5_acc: 0.6587, loss_cls: 7.8973, loss: 7.8973 2025-04-30 07:05:05,586 - pyskl - INFO - Epoch [19][1000/1027] lr: 2.403e-02, eta: 17:49:01, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.3231, top5_acc: 0.6438, loss_cls: 8.0069, loss: 8.0069 2025-04-30 07:05:18,761 - pyskl - INFO - Saving checkpoint at 19 epochs 2025-04-30 07:05:58,879 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 07:05:58,952 - pyskl - INFO - top1_acc 0.3605 top5_acc 0.7066 2025-04-30 07:05:58,952 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 07:05:58,960 - pyskl - INFO - mean_acc 0.3580 2025-04-30 07:05:58,962 - pyskl - INFO - Epoch(val) [19][413] top1_acc: 0.3605, top5_acc: 0.7066, mean_class_accuracy: 0.3580 2025-04-30 07:07:03,635 - pyskl - INFO - Epoch [20][100/1027] lr: 2.401e-02, eta: 17:48:29, time: 0.647, data_time: 0.260, memory: 7959, top1_acc: 0.3406, top5_acc: 0.6619, loss_cls: 7.9800, loss: 7.9800 2025-04-30 07:07:47,898 - pyskl - INFO - Epoch [20][200/1027] lr: 2.400e-02, eta: 17:47:18, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.3563, top5_acc: 0.6625, loss_cls: 7.8476, loss: 7.8476 2025-04-30 07:08:34,500 - pyskl - INFO - Epoch [20][300/1027] lr: 2.399e-02, eta: 17:46:23, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.3387, top5_acc: 0.6438, loss_cls: 8.0111, loss: 8.0111 2025-04-30 07:09:21,764 - pyskl - INFO - Epoch [20][400/1027] lr: 2.398e-02, eta: 17:45:32, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3506, top5_acc: 0.6625, loss_cls: 7.9520, loss: 7.9520 2025-04-30 07:10:09,106 - pyskl - INFO - Epoch [20][500/1027] lr: 2.397e-02, eta: 17:44:43, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3519, top5_acc: 0.6488, loss_cls: 7.8634, loss: 7.8634 2025-04-30 07:10:56,249 - pyskl - INFO - Epoch [20][600/1027] lr: 2.396e-02, eta: 17:43:51, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.3412, top5_acc: 0.6475, loss_cls: 8.0335, loss: 8.0335 2025-04-30 07:11:44,061 - pyskl - INFO - Epoch [20][700/1027] lr: 2.395e-02, eta: 17:43:05, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.3488, top5_acc: 0.6506, loss_cls: 7.9006, loss: 7.9006 2025-04-30 07:12:31,583 - pyskl - INFO - Epoch [20][800/1027] lr: 2.394e-02, eta: 17:42:16, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.3431, top5_acc: 0.6694, loss_cls: 7.7674, loss: 7.7674 2025-04-30 07:13:19,291 - pyskl - INFO - Epoch [20][900/1027] lr: 2.393e-02, eta: 17:41:29, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.3438, top5_acc: 0.6569, loss_cls: 8.0135, loss: 8.0135 2025-04-30 07:14:06,063 - pyskl - INFO - Epoch [20][1000/1027] lr: 2.392e-02, eta: 17:40:35, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.3475, top5_acc: 0.6719, loss_cls: 7.8008, loss: 7.8008 2025-04-30 07:14:19,251 - pyskl - INFO - Saving checkpoint at 20 epochs 2025-04-30 07:14:59,017 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 07:14:59,090 - pyskl - INFO - top1_acc 0.3884 top5_acc 0.7351 2025-04-30 07:14:59,090 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 07:14:59,098 - pyskl - INFO - mean_acc 0.3895 2025-04-30 07:14:59,163 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_17.pth was removed 2025-04-30 07:15:00,819 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. 2025-04-30 07:15:00,820 - pyskl - INFO - Best top1_acc is 0.3884 at 20 epoch. 2025-04-30 07:15:00,823 - pyskl - INFO - Epoch(val) [20][413] top1_acc: 0.3884, top5_acc: 0.7351, mean_class_accuracy: 0.3895 2025-04-30 07:16:04,315 - pyskl - INFO - Epoch [21][100/1027] lr: 2.391e-02, eta: 17:39:54, time: 0.635, data_time: 0.254, memory: 7959, top1_acc: 0.3563, top5_acc: 0.6706, loss_cls: 7.7733, loss: 7.7733 2025-04-30 07:16:48,517 - pyskl - INFO - Epoch [21][200/1027] lr: 2.390e-02, eta: 17:38:44, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.3419, top5_acc: 0.6644, loss_cls: 7.7790, loss: 7.7790 2025-04-30 07:17:35,108 - pyskl - INFO - Epoch [21][300/1027] lr: 2.389e-02, eta: 17:37:50, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.3325, top5_acc: 0.6625, loss_cls: 7.8141, loss: 7.8141 2025-04-30 07:18:21,980 - pyskl - INFO - Epoch [21][400/1027] lr: 2.388e-02, eta: 17:36:57, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.3463, top5_acc: 0.6538, loss_cls: 7.8429, loss: 7.8429 2025-04-30 07:19:10,004 - pyskl - INFO - Epoch [21][500/1027] lr: 2.387e-02, eta: 17:36:12, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.3600, top5_acc: 0.6556, loss_cls: 7.9466, loss: 7.9466 2025-04-30 07:19:57,746 - pyskl - INFO - Epoch [21][600/1027] lr: 2.386e-02, eta: 17:35:25, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.3613, top5_acc: 0.6775, loss_cls: 7.8037, loss: 7.8037 2025-04-30 07:20:45,651 - pyskl - INFO - Epoch [21][700/1027] lr: 2.385e-02, eta: 17:34:39, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.3513, top5_acc: 0.6837, loss_cls: 7.7450, loss: 7.7450 2025-04-30 07:21:33,244 - pyskl - INFO - Epoch [21][800/1027] lr: 2.383e-02, eta: 17:33:51, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.3681, top5_acc: 0.6694, loss_cls: 7.7949, loss: 7.7949 2025-04-30 07:22:20,956 - pyskl - INFO - Epoch [21][900/1027] lr: 2.382e-02, eta: 17:33:04, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.3456, top5_acc: 0.6687, loss_cls: 7.8758, loss: 7.8758 2025-04-30 07:23:08,726 - pyskl - INFO - Epoch [21][1000/1027] lr: 2.381e-02, eta: 17:32:17, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.3513, top5_acc: 0.6756, loss_cls: 7.7815, loss: 7.7815 2025-04-30 07:23:22,958 - pyskl - INFO - Saving checkpoint at 21 epochs 2025-04-30 07:24:02,514 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 07:24:02,588 - pyskl - INFO - top1_acc 0.3916 top5_acc 0.7365 2025-04-30 07:24:02,588 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 07:24:02,595 - pyskl - INFO - mean_acc 0.3879 2025-04-30 07:24:02,664 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_20.pth was removed 2025-04-30 07:24:04,271 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. 2025-04-30 07:24:04,273 - pyskl - INFO - Best top1_acc is 0.3916 at 21 epoch. 2025-04-30 07:24:04,277 - pyskl - INFO - Epoch(val) [21][413] top1_acc: 0.3916, top5_acc: 0.7365, mean_class_accuracy: 0.3879 2025-04-30 07:25:08,706 - pyskl - INFO - Epoch [22][100/1027] lr: 2.380e-02, eta: 17:31:40, time: 0.644, data_time: 0.263, memory: 7959, top1_acc: 0.3937, top5_acc: 0.7025, loss_cls: 7.5504, loss: 7.5504 2025-04-30 07:25:52,280 - pyskl - INFO - Epoch [22][200/1027] lr: 2.379e-02, eta: 17:30:28, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.3531, top5_acc: 0.6744, loss_cls: 7.7688, loss: 7.7688 2025-04-30 07:26:38,234 - pyskl - INFO - Epoch [22][300/1027] lr: 2.378e-02, eta: 17:29:30, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.3631, top5_acc: 0.6656, loss_cls: 7.7539, loss: 7.7539 2025-04-30 07:27:24,420 - pyskl - INFO - Epoch [22][400/1027] lr: 2.377e-02, eta: 17:28:33, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.3569, top5_acc: 0.6813, loss_cls: 7.8029, loss: 7.8029 2025-04-30 07:28:10,663 - pyskl - INFO - Epoch [22][500/1027] lr: 2.376e-02, eta: 17:27:37, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.3731, top5_acc: 0.6794, loss_cls: 7.7131, loss: 7.7131 2025-04-30 07:28:57,616 - pyskl - INFO - Epoch [22][600/1027] lr: 2.374e-02, eta: 17:26:46, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.3550, top5_acc: 0.6744, loss_cls: 7.8209, loss: 7.8209 2025-04-30 07:29:44,866 - pyskl - INFO - Epoch [22][700/1027] lr: 2.373e-02, eta: 17:25:56, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.3281, top5_acc: 0.6763, loss_cls: 7.8033, loss: 7.8033 2025-04-30 07:30:32,157 - pyskl - INFO - Epoch [22][800/1027] lr: 2.372e-02, eta: 17:25:06, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3550, top5_acc: 0.6494, loss_cls: 7.8891, loss: 7.8891 2025-04-30 07:31:18,967 - pyskl - INFO - Epoch [22][900/1027] lr: 2.371e-02, eta: 17:24:14, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.3700, top5_acc: 0.6725, loss_cls: 7.7561, loss: 7.7561 2025-04-30 07:32:06,372 - pyskl - INFO - Epoch [22][1000/1027] lr: 2.370e-02, eta: 17:23:25, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.3694, top5_acc: 0.6663, loss_cls: 7.7546, loss: 7.7546 2025-04-30 07:32:19,869 - pyskl - INFO - Saving checkpoint at 22 epochs 2025-04-30 07:33:00,646 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 07:33:00,719 - pyskl - INFO - top1_acc 0.4020 top5_acc 0.7545 2025-04-30 07:33:00,719 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 07:33:00,733 - pyskl - INFO - mean_acc 0.3997 2025-04-30 07:33:00,795 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_21.pth was removed 2025-04-30 07:33:02,422 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. 2025-04-30 07:33:02,423 - pyskl - INFO - Best top1_acc is 0.4020 at 22 epoch. 2025-04-30 07:33:02,426 - pyskl - INFO - Epoch(val) [22][413] top1_acc: 0.4020, top5_acc: 0.7545, mean_class_accuracy: 0.3997 2025-04-30 07:34:08,210 - pyskl - INFO - Epoch [23][100/1027] lr: 2.369e-02, eta: 17:22:55, time: 0.658, data_time: 0.260, memory: 7959, top1_acc: 0.3625, top5_acc: 0.6950, loss_cls: 7.6812, loss: 7.6812 2025-04-30 07:34:55,302 - pyskl - INFO - Epoch [23][200/1027] lr: 2.367e-02, eta: 17:22:05, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4037, top5_acc: 0.6913, loss_cls: 7.5081, loss: 7.5081 2025-04-30 07:35:44,344 - pyskl - INFO - Epoch [23][300/1027] lr: 2.366e-02, eta: 17:21:25, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.3719, top5_acc: 0.6787, loss_cls: 7.5420, loss: 7.5420 2025-04-30 07:36:34,034 - pyskl - INFO - Epoch [23][400/1027] lr: 2.365e-02, eta: 17:20:49, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.3569, top5_acc: 0.6856, loss_cls: 7.6684, loss: 7.6684 2025-04-30 07:37:24,274 - pyskl - INFO - Epoch [23][500/1027] lr: 2.364e-02, eta: 17:20:16, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.3569, top5_acc: 0.6700, loss_cls: 7.7745, loss: 7.7745 2025-04-30 07:38:13,473 - pyskl - INFO - Epoch [23][600/1027] lr: 2.363e-02, eta: 17:19:37, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.3825, top5_acc: 0.6831, loss_cls: 7.6610, loss: 7.6610 2025-04-30 07:39:01,908 - pyskl - INFO - Epoch [23][700/1027] lr: 2.362e-02, eta: 17:18:54, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.3669, top5_acc: 0.6544, loss_cls: 7.9398, loss: 7.9398 2025-04-30 07:39:52,067 - pyskl - INFO - Epoch [23][800/1027] lr: 2.360e-02, eta: 17:18:20, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.3544, top5_acc: 0.6606, loss_cls: 7.8190, loss: 7.8190 2025-04-30 07:40:42,157 - pyskl - INFO - Epoch [23][900/1027] lr: 2.359e-02, eta: 17:17:46, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.3694, top5_acc: 0.6725, loss_cls: 7.6838, loss: 7.6838 2025-04-30 07:41:33,135 - pyskl - INFO - Epoch [23][1000/1027] lr: 2.358e-02, eta: 17:17:16, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.3638, top5_acc: 0.6763, loss_cls: 7.8137, loss: 7.8137 2025-04-30 07:41:47,922 - pyskl - INFO - Saving checkpoint at 23 epochs 2025-04-30 07:42:29,730 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 07:42:29,801 - pyskl - INFO - top1_acc 0.3452 top5_acc 0.6837 2025-04-30 07:42:29,801 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 07:42:29,809 - pyskl - INFO - mean_acc 0.3475 2025-04-30 07:42:29,810 - pyskl - INFO - Epoch(val) [23][413] top1_acc: 0.3452, top5_acc: 0.6837, mean_class_accuracy: 0.3475 2025-04-30 07:43:35,823 - pyskl - INFO - Epoch [24][100/1027] lr: 2.357e-02, eta: 17:16:45, time: 0.660, data_time: 0.264, memory: 7959, top1_acc: 0.3731, top5_acc: 0.6863, loss_cls: 7.7004, loss: 7.7004 2025-04-30 07:44:22,411 - pyskl - INFO - Epoch [24][200/1027] lr: 2.355e-02, eta: 17:15:51, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.3744, top5_acc: 0.7000, loss_cls: 7.7052, loss: 7.7052 2025-04-30 07:45:11,592 - pyskl - INFO - Epoch [24][300/1027] lr: 2.354e-02, eta: 17:15:11, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.3781, top5_acc: 0.6900, loss_cls: 7.6523, loss: 7.6523 2025-04-30 07:46:00,606 - pyskl - INFO - Epoch [24][400/1027] lr: 2.353e-02, eta: 17:14:31, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.3738, top5_acc: 0.6931, loss_cls: 7.6571, loss: 7.6571 2025-04-30 07:46:48,707 - pyskl - INFO - Epoch [24][500/1027] lr: 2.352e-02, eta: 17:13:45, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.3663, top5_acc: 0.6719, loss_cls: 7.7487, loss: 7.7487 2025-04-30 07:47:36,801 - pyskl - INFO - Epoch [24][600/1027] lr: 2.351e-02, eta: 17:12:59, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.3581, top5_acc: 0.6825, loss_cls: 7.7757, loss: 7.7757 2025-04-30 07:48:25,609 - pyskl - INFO - Epoch [24][700/1027] lr: 2.349e-02, eta: 17:12:17, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.3731, top5_acc: 0.6719, loss_cls: 7.7874, loss: 7.7874 2025-04-30 07:49:14,251 - pyskl - INFO - Epoch [24][800/1027] lr: 2.348e-02, eta: 17:11:34, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.3844, top5_acc: 0.6881, loss_cls: 7.5624, loss: 7.5624 2025-04-30 07:50:03,432 - pyskl - INFO - Epoch [24][900/1027] lr: 2.347e-02, eta: 17:10:54, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.3719, top5_acc: 0.6675, loss_cls: 7.7420, loss: 7.7420 2025-04-30 07:50:52,254 - pyskl - INFO - Epoch [24][1000/1027] lr: 2.346e-02, eta: 17:10:12, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.3525, top5_acc: 0.6663, loss_cls: 7.8252, loss: 7.8252 2025-04-30 07:51:06,012 - pyskl - INFO - Saving checkpoint at 24 epochs 2025-04-30 07:51:46,372 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 07:51:46,448 - pyskl - INFO - top1_acc 0.4205 top5_acc 0.7674 2025-04-30 07:51:46,449 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 07:51:46,457 - pyskl - INFO - mean_acc 0.4285 2025-04-30 07:51:46,520 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_22.pth was removed 2025-04-30 07:51:48,253 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. 2025-04-30 07:51:48,254 - pyskl - INFO - Best top1_acc is 0.4205 at 24 epoch. 2025-04-30 07:51:48,257 - pyskl - INFO - Epoch(val) [24][413] top1_acc: 0.4205, top5_acc: 0.7674, mean_class_accuracy: 0.4285 2025-04-30 07:52:53,217 - pyskl - INFO - Epoch [25][100/1027] lr: 2.344e-02, eta: 17:09:33, time: 0.650, data_time: 0.262, memory: 7959, top1_acc: 0.3756, top5_acc: 0.6825, loss_cls: 7.6783, loss: 7.6783 2025-04-30 07:53:37,443 - pyskl - INFO - Epoch [25][200/1027] lr: 2.343e-02, eta: 17:08:27, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.3925, top5_acc: 0.7037, loss_cls: 7.4831, loss: 7.4831 2025-04-30 07:54:24,736 - pyskl - INFO - Epoch [25][300/1027] lr: 2.342e-02, eta: 17:07:37, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.3856, top5_acc: 0.6806, loss_cls: 7.5630, loss: 7.5630 2025-04-30 07:55:12,876 - pyskl - INFO - Epoch [25][400/1027] lr: 2.340e-02, eta: 17:06:51, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.3600, top5_acc: 0.6919, loss_cls: 7.6832, loss: 7.6832 2025-04-30 07:56:01,383 - pyskl - INFO - Epoch [25][500/1027] lr: 2.339e-02, eta: 17:06:07, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.3500, top5_acc: 0.6775, loss_cls: 7.7893, loss: 7.7893 2025-04-30 07:56:49,532 - pyskl - INFO - Epoch [25][600/1027] lr: 2.338e-02, eta: 17:05:22, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.3631, top5_acc: 0.6694, loss_cls: 7.7364, loss: 7.7364 2025-04-30 07:57:39,270 - pyskl - INFO - Epoch [25][700/1027] lr: 2.337e-02, eta: 17:04:44, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.3875, top5_acc: 0.6944, loss_cls: 7.5708, loss: 7.5708 2025-04-30 07:58:28,747 - pyskl - INFO - Epoch [25][800/1027] lr: 2.335e-02, eta: 17:04:05, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.3937, top5_acc: 0.7013, loss_cls: 7.4726, loss: 7.4726 2025-04-30 07:59:17,012 - pyskl - INFO - Epoch [25][900/1027] lr: 2.334e-02, eta: 17:03:19, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.3644, top5_acc: 0.6694, loss_cls: 7.8945, loss: 7.8945 2025-04-30 08:00:06,004 - pyskl - INFO - Epoch [25][1000/1027] lr: 2.333e-02, eta: 17:02:38, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.3744, top5_acc: 0.6937, loss_cls: 7.6105, loss: 7.6105 2025-04-30 08:00:19,778 - pyskl - INFO - Saving checkpoint at 25 epochs 2025-04-30 08:01:00,438 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 08:01:00,514 - pyskl - INFO - top1_acc 0.4066 top5_acc 0.7512 2025-04-30 08:01:00,514 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 08:01:00,522 - pyskl - INFO - mean_acc 0.4081 2025-04-30 08:01:00,524 - pyskl - INFO - Epoch(val) [25][413] top1_acc: 0.4066, top5_acc: 0.7512, mean_class_accuracy: 0.4081 2025-04-30 08:02:05,892 - pyskl - INFO - Epoch [26][100/1027] lr: 2.331e-02, eta: 17:02:00, time: 0.654, data_time: 0.264, memory: 7959, top1_acc: 0.3862, top5_acc: 0.6963, loss_cls: 7.5970, loss: 7.5970 2025-04-30 08:02:51,198 - pyskl - INFO - Epoch [26][200/1027] lr: 2.330e-02, eta: 17:01:00, time: 0.453, data_time: 0.000, memory: 7959, top1_acc: 0.3919, top5_acc: 0.7050, loss_cls: 7.4863, loss: 7.4863 2025-04-30 08:03:38,336 - pyskl - INFO - Epoch [26][300/1027] lr: 2.329e-02, eta: 17:00:09, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.3831, top5_acc: 0.7037, loss_cls: 7.4778, loss: 7.4778 2025-04-30 08:04:27,437 - pyskl - INFO - Epoch [26][400/1027] lr: 2.327e-02, eta: 16:59:28, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.3600, top5_acc: 0.6694, loss_cls: 7.6619, loss: 7.6619 2025-04-30 08:05:15,775 - pyskl - INFO - Epoch [26][500/1027] lr: 2.326e-02, eta: 16:58:42, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.3812, top5_acc: 0.6925, loss_cls: 7.6305, loss: 7.6305 2025-04-30 08:06:03,796 - pyskl - INFO - Epoch [26][600/1027] lr: 2.325e-02, eta: 16:57:56, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.3744, top5_acc: 0.6887, loss_cls: 7.6353, loss: 7.6353 2025-04-30 08:06:52,536 - pyskl - INFO - Epoch [26][700/1027] lr: 2.324e-02, eta: 16:57:12, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.3781, top5_acc: 0.6944, loss_cls: 7.6297, loss: 7.6297 2025-04-30 08:07:41,237 - pyskl - INFO - Epoch [26][800/1027] lr: 2.322e-02, eta: 16:56:29, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.3775, top5_acc: 0.6863, loss_cls: 7.6664, loss: 7.6664 2025-04-30 08:08:29,874 - pyskl - INFO - Epoch [26][900/1027] lr: 2.321e-02, eta: 16:55:45, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.3900, top5_acc: 0.6850, loss_cls: 7.5074, loss: 7.5074 2025-04-30 08:09:18,140 - pyskl - INFO - Epoch [26][1000/1027] lr: 2.320e-02, eta: 16:54:59, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.3894, top5_acc: 0.6987, loss_cls: 7.6191, loss: 7.6191 2025-04-30 08:09:32,352 - pyskl - INFO - Saving checkpoint at 26 epochs 2025-04-30 08:10:12,908 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 08:10:12,981 - pyskl - INFO - top1_acc 0.3937 top5_acc 0.7330 2025-04-30 08:10:12,981 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 08:10:12,988 - pyskl - INFO - mean_acc 0.3879 2025-04-30 08:10:12,990 - pyskl - INFO - Epoch(val) [26][413] top1_acc: 0.3937, top5_acc: 0.7330, mean_class_accuracy: 0.3879 2025-04-30 08:11:18,126 - pyskl - INFO - Epoch [27][100/1027] lr: 2.318e-02, eta: 16:54:20, time: 0.651, data_time: 0.260, memory: 7959, top1_acc: 0.4131, top5_acc: 0.7131, loss_cls: 7.3726, loss: 7.3726 2025-04-30 08:12:03,149 - pyskl - INFO - Epoch [27][200/1027] lr: 2.317e-02, eta: 16:53:19, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.3906, top5_acc: 0.7113, loss_cls: 7.4999, loss: 7.4999 2025-04-30 08:12:50,098 - pyskl - INFO - Epoch [27][300/1027] lr: 2.315e-02, eta: 16:52:27, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.3956, top5_acc: 0.6931, loss_cls: 7.6605, loss: 7.6605 2025-04-30 08:13:38,637 - pyskl - INFO - Epoch [27][400/1027] lr: 2.314e-02, eta: 16:51:42, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.3613, top5_acc: 0.6887, loss_cls: 7.6169, loss: 7.6169 2025-04-30 08:14:27,759 - pyskl - INFO - Epoch [27][500/1027] lr: 2.313e-02, eta: 16:51:00, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.4069, top5_acc: 0.7188, loss_cls: 7.4028, loss: 7.4028 2025-04-30 08:15:15,834 - pyskl - INFO - Epoch [27][600/1027] lr: 2.311e-02, eta: 16:50:14, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.3981, top5_acc: 0.7069, loss_cls: 7.5587, loss: 7.5587 2025-04-30 08:16:04,753 - pyskl - INFO - Epoch [27][700/1027] lr: 2.310e-02, eta: 16:49:31, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.3762, top5_acc: 0.6844, loss_cls: 7.5585, loss: 7.5585 2025-04-30 08:16:53,494 - pyskl - INFO - Epoch [27][800/1027] lr: 2.309e-02, eta: 16:48:47, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.3800, top5_acc: 0.6850, loss_cls: 7.6828, loss: 7.6828 2025-04-30 08:17:42,475 - pyskl - INFO - Epoch [27][900/1027] lr: 2.307e-02, eta: 16:48:05, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.3806, top5_acc: 0.7000, loss_cls: 7.6063, loss: 7.6063 2025-04-30 08:18:31,081 - pyskl - INFO - Epoch [27][1000/1027] lr: 2.306e-02, eta: 16:47:21, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.3937, top5_acc: 0.6963, loss_cls: 7.5730, loss: 7.5730 2025-04-30 08:18:45,028 - pyskl - INFO - Saving checkpoint at 27 epochs 2025-04-30 08:19:24,822 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 08:19:24,894 - pyskl - INFO - top1_acc 0.4319 top5_acc 0.7722 2025-04-30 08:19:24,894 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 08:19:24,901 - pyskl - INFO - mean_acc 0.4291 2025-04-30 08:19:24,964 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_24.pth was removed 2025-04-30 08:19:26,528 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_27.pth. 2025-04-30 08:19:26,530 - pyskl - INFO - Best top1_acc is 0.4319 at 27 epoch. 2025-04-30 08:19:26,533 - pyskl - INFO - Epoch(val) [27][413] top1_acc: 0.4319, top5_acc: 0.7722, mean_class_accuracy: 0.4291 2025-04-30 08:20:31,099 - pyskl - INFO - Epoch [28][100/1027] lr: 2.304e-02, eta: 16:46:37, time: 0.646, data_time: 0.257, memory: 7959, top1_acc: 0.3912, top5_acc: 0.7106, loss_cls: 7.5112, loss: 7.5112 2025-04-30 08:21:15,723 - pyskl - INFO - Epoch [28][200/1027] lr: 2.303e-02, eta: 16:45:35, time: 0.446, data_time: 0.000, memory: 7959, top1_acc: 0.4181, top5_acc: 0.7275, loss_cls: 7.4190, loss: 7.4190 2025-04-30 08:22:02,728 - pyskl - INFO - Epoch [28][300/1027] lr: 2.301e-02, eta: 16:44:43, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.3812, top5_acc: 0.7013, loss_cls: 7.5385, loss: 7.5385 2025-04-30 08:22:51,523 - pyskl - INFO - Epoch [28][400/1027] lr: 2.300e-02, eta: 16:44:00, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.3987, top5_acc: 0.7144, loss_cls: 7.4009, loss: 7.4009 2025-04-30 08:23:40,188 - pyskl - INFO - Epoch [28][500/1027] lr: 2.299e-02, eta: 16:43:15, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.4069, top5_acc: 0.7069, loss_cls: 7.4975, loss: 7.4975 2025-04-30 08:24:29,233 - pyskl - INFO - Epoch [28][600/1027] lr: 2.297e-02, eta: 16:42:33, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.3906, top5_acc: 0.6981, loss_cls: 7.5571, loss: 7.5571 2025-04-30 08:25:18,560 - pyskl - INFO - Epoch [28][700/1027] lr: 2.296e-02, eta: 16:41:52, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.4094, top5_acc: 0.7194, loss_cls: 7.5234, loss: 7.5234 2025-04-30 08:26:07,896 - pyskl - INFO - Epoch [28][800/1027] lr: 2.294e-02, eta: 16:41:10, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.4075, top5_acc: 0.7037, loss_cls: 7.5399, loss: 7.5399 2025-04-30 08:26:56,884 - pyskl - INFO - Epoch [28][900/1027] lr: 2.293e-02, eta: 16:40:27, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.3762, top5_acc: 0.6869, loss_cls: 7.6455, loss: 7.6455 2025-04-30 08:27:46,730 - pyskl - INFO - Epoch [28][1000/1027] lr: 2.292e-02, eta: 16:39:48, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.4019, top5_acc: 0.6950, loss_cls: 7.5651, loss: 7.5651 2025-04-30 08:28:00,567 - pyskl - INFO - Saving checkpoint at 28 epochs 2025-04-30 08:28:40,811 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 08:28:40,887 - pyskl - INFO - top1_acc 0.4405 top5_acc 0.7683 2025-04-30 08:28:40,887 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 08:28:40,896 - pyskl - INFO - mean_acc 0.4443 2025-04-30 08:28:40,961 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_27.pth was removed 2025-04-30 08:28:42,578 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_28.pth. 2025-04-30 08:28:42,579 - pyskl - INFO - Best top1_acc is 0.4405 at 28 epoch. 2025-04-30 08:28:42,582 - pyskl - INFO - Epoch(val) [28][413] top1_acc: 0.4405, top5_acc: 0.7683, mean_class_accuracy: 0.4443 2025-04-30 08:29:47,250 - pyskl - INFO - Epoch [29][100/1027] lr: 2.290e-02, eta: 16:39:04, time: 0.647, data_time: 0.257, memory: 7959, top1_acc: 0.4406, top5_acc: 0.7394, loss_cls: 7.1222, loss: 7.1222 2025-04-30 08:30:31,885 - pyskl - INFO - Epoch [29][200/1027] lr: 2.288e-02, eta: 16:38:02, time: 0.446, data_time: 0.000, memory: 7959, top1_acc: 0.3962, top5_acc: 0.7019, loss_cls: 7.5305, loss: 7.5305 2025-04-30 08:31:19,130 - pyskl - INFO - Epoch [29][300/1027] lr: 2.287e-02, eta: 16:37:12, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.3987, top5_acc: 0.6987, loss_cls: 7.4302, loss: 7.4302 2025-04-30 08:32:07,161 - pyskl - INFO - Epoch [29][400/1027] lr: 2.285e-02, eta: 16:36:24, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4056, top5_acc: 0.7119, loss_cls: 7.6177, loss: 7.6177 2025-04-30 08:32:57,007 - pyskl - INFO - Epoch [29][500/1027] lr: 2.284e-02, eta: 16:35:45, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.4094, top5_acc: 0.6981, loss_cls: 7.5096, loss: 7.5096 2025-04-30 08:33:46,621 - pyskl - INFO - Epoch [29][600/1027] lr: 2.283e-02, eta: 16:35:05, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.4056, top5_acc: 0.7219, loss_cls: 7.4128, loss: 7.4128 2025-04-30 08:34:37,264 - pyskl - INFO - Epoch [29][700/1027] lr: 2.281e-02, eta: 16:34:28, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.4044, top5_acc: 0.7144, loss_cls: 7.4998, loss: 7.4998 2025-04-30 08:35:27,397 - pyskl - INFO - Epoch [29][800/1027] lr: 2.280e-02, eta: 16:33:50, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7281, loss_cls: 7.3084, loss: 7.3084 2025-04-30 08:36:18,797 - pyskl - INFO - Epoch [29][900/1027] lr: 2.278e-02, eta: 16:33:17, time: 0.514, data_time: 0.000, memory: 7959, top1_acc: 0.3800, top5_acc: 0.6837, loss_cls: 7.7226, loss: 7.7226 2025-04-30 08:37:08,200 - pyskl - INFO - Epoch [29][1000/1027] lr: 2.277e-02, eta: 16:32:35, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.4081, top5_acc: 0.7019, loss_cls: 7.5308, loss: 7.5308 2025-04-30 08:37:22,825 - pyskl - INFO - Saving checkpoint at 29 epochs 2025-04-30 08:38:03,772 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 08:38:03,845 - pyskl - INFO - top1_acc 0.4045 top5_acc 0.7341 2025-04-30 08:38:03,845 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 08:38:03,853 - pyskl - INFO - mean_acc 0.4031 2025-04-30 08:38:03,854 - pyskl - INFO - Epoch(val) [29][413] top1_acc: 0.4045, top5_acc: 0.7341, mean_class_accuracy: 0.4031 2025-04-30 08:39:09,136 - pyskl - INFO - Epoch [30][100/1027] lr: 2.275e-02, eta: 16:31:53, time: 0.653, data_time: 0.262, memory: 7959, top1_acc: 0.4450, top5_acc: 0.7269, loss_cls: 7.2936, loss: 7.2936 2025-04-30 08:39:55,462 - pyskl - INFO - Epoch [30][200/1027] lr: 2.274e-02, eta: 16:30:58, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.4200, top5_acc: 0.7125, loss_cls: 7.3141, loss: 7.3141 2025-04-30 08:40:44,516 - pyskl - INFO - Epoch [30][300/1027] lr: 2.272e-02, eta: 16:30:15, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.4000, top5_acc: 0.7231, loss_cls: 7.3962, loss: 7.3962 2025-04-30 08:41:34,927 - pyskl - INFO - Epoch [30][400/1027] lr: 2.271e-02, eta: 16:29:37, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.4175, top5_acc: 0.7225, loss_cls: 7.2872, loss: 7.2872 2025-04-30 08:42:25,191 - pyskl - INFO - Epoch [30][500/1027] lr: 2.269e-02, eta: 16:28:59, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.3987, top5_acc: 0.7125, loss_cls: 7.4062, loss: 7.4062 2025-04-30 08:43:15,528 - pyskl - INFO - Epoch [30][600/1027] lr: 2.268e-02, eta: 16:28:20, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.3975, top5_acc: 0.6913, loss_cls: 7.5168, loss: 7.5168 2025-04-30 08:44:07,391 - pyskl - INFO - Epoch [30][700/1027] lr: 2.266e-02, eta: 16:27:48, time: 0.519, data_time: 0.000, memory: 7959, top1_acc: 0.4056, top5_acc: 0.7044, loss_cls: 7.5059, loss: 7.5059 2025-04-30 08:44:57,360 - pyskl - INFO - Epoch [30][800/1027] lr: 2.265e-02, eta: 16:27:08, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.3956, top5_acc: 0.7000, loss_cls: 7.5749, loss: 7.5749 2025-04-30 08:45:47,130 - pyskl - INFO - Epoch [30][900/1027] lr: 2.263e-02, eta: 16:26:28, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.3944, top5_acc: 0.6969, loss_cls: 7.4896, loss: 7.4896 2025-04-30 08:46:36,391 - pyskl - INFO - Epoch [30][1000/1027] lr: 2.262e-02, eta: 16:25:45, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.4100, top5_acc: 0.7231, loss_cls: 7.3398, loss: 7.3398 2025-04-30 08:46:50,475 - pyskl - INFO - Saving checkpoint at 30 epochs 2025-04-30 08:47:31,841 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 08:47:31,920 - pyskl - INFO - top1_acc 0.4466 top5_acc 0.7692 2025-04-30 08:47:31,920 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 08:47:31,929 - pyskl - INFO - mean_acc 0.4438 2025-04-30 08:47:32,001 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_28.pth was removed 2025-04-30 08:47:33,803 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. 2025-04-30 08:47:33,805 - pyskl - INFO - Best top1_acc is 0.4466 at 30 epoch. 2025-04-30 08:47:33,808 - pyskl - INFO - Epoch(val) [30][413] top1_acc: 0.4466, top5_acc: 0.7692, mean_class_accuracy: 0.4438 2025-04-30 08:48:39,726 - pyskl - INFO - Epoch [31][100/1027] lr: 2.260e-02, eta: 16:25:04, time: 0.659, data_time: 0.259, memory: 7959, top1_acc: 0.4188, top5_acc: 0.7169, loss_cls: 7.3896, loss: 7.3896 2025-04-30 08:49:24,241 - pyskl - INFO - Epoch [31][200/1027] lr: 2.258e-02, eta: 16:24:02, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.4175, top5_acc: 0.7150, loss_cls: 7.4510, loss: 7.4510 2025-04-30 08:50:10,092 - pyskl - INFO - Epoch [31][300/1027] lr: 2.257e-02, eta: 16:23:05, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.3912, top5_acc: 0.7294, loss_cls: 7.3772, loss: 7.3772 2025-04-30 08:50:56,473 - pyskl - INFO - Epoch [31][400/1027] lr: 2.255e-02, eta: 16:22:11, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.4125, top5_acc: 0.7206, loss_cls: 7.3912, loss: 7.3912 2025-04-30 08:51:43,471 - pyskl - INFO - Epoch [31][500/1027] lr: 2.254e-02, eta: 16:21:19, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.4000, top5_acc: 0.7181, loss_cls: 7.4123, loss: 7.4123 2025-04-30 08:52:31,228 - pyskl - INFO - Epoch [31][600/1027] lr: 2.252e-02, eta: 16:20:30, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4138, top5_acc: 0.7231, loss_cls: 7.3706, loss: 7.3706 2025-04-30 08:53:19,092 - pyskl - INFO - Epoch [31][700/1027] lr: 2.251e-02, eta: 16:19:42, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4000, top5_acc: 0.7119, loss_cls: 7.5022, loss: 7.5022 2025-04-30 08:54:06,689 - pyskl - INFO - Epoch [31][800/1027] lr: 2.249e-02, eta: 16:18:53, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4062, top5_acc: 0.7119, loss_cls: 7.2733, loss: 7.2733 2025-04-30 08:54:54,394 - pyskl - INFO - Epoch [31][900/1027] lr: 2.248e-02, eta: 16:18:04, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.3962, top5_acc: 0.7256, loss_cls: 7.4723, loss: 7.4723 2025-04-30 08:55:42,452 - pyskl - INFO - Epoch [31][1000/1027] lr: 2.246e-02, eta: 16:17:16, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4119, top5_acc: 0.7244, loss_cls: 7.4166, loss: 7.4166 2025-04-30 08:55:56,214 - pyskl - INFO - Saving checkpoint at 31 epochs 2025-04-30 08:56:35,746 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 08:56:35,819 - pyskl - INFO - top1_acc 0.4613 top5_acc 0.7901 2025-04-30 08:56:35,819 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 08:56:35,827 - pyskl - INFO - mean_acc 0.4563 2025-04-30 08:56:35,892 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_30.pth was removed 2025-04-30 08:56:37,514 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_31.pth. 2025-04-30 08:56:37,515 - pyskl - INFO - Best top1_acc is 0.4613 at 31 epoch. 2025-04-30 08:56:37,518 - pyskl - INFO - Epoch(val) [31][413] top1_acc: 0.4613, top5_acc: 0.7901, mean_class_accuracy: 0.4563 2025-04-30 08:57:41,189 - pyskl - INFO - Epoch [32][100/1027] lr: 2.244e-02, eta: 16:16:26, time: 0.637, data_time: 0.256, memory: 7959, top1_acc: 0.4412, top5_acc: 0.7500, loss_cls: 7.0727, loss: 7.0727 2025-04-30 08:58:24,497 - pyskl - INFO - Epoch [32][200/1027] lr: 2.243e-02, eta: 16:15:20, time: 0.433, data_time: 0.000, memory: 7959, top1_acc: 0.4006, top5_acc: 0.7175, loss_cls: 7.3188, loss: 7.3188 2025-04-30 08:59:10,185 - pyskl - INFO - Epoch [32][300/1027] lr: 2.241e-02, eta: 16:14:23, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.4288, top5_acc: 0.7181, loss_cls: 7.2709, loss: 7.2709 2025-04-30 08:59:56,363 - pyskl - INFO - Epoch [32][400/1027] lr: 2.239e-02, eta: 16:13:29, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.4219, top5_acc: 0.7300, loss_cls: 7.3534, loss: 7.3534 2025-04-30 09:00:43,372 - pyskl - INFO - Epoch [32][500/1027] lr: 2.238e-02, eta: 16:12:37, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.4031, top5_acc: 0.7269, loss_cls: 7.3659, loss: 7.3659 2025-04-30 09:01:31,087 - pyskl - INFO - Epoch [32][600/1027] lr: 2.236e-02, eta: 16:11:48, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4394, top5_acc: 0.7362, loss_cls: 7.2407, loss: 7.2407 2025-04-30 09:02:18,696 - pyskl - INFO - Epoch [32][700/1027] lr: 2.235e-02, eta: 16:10:59, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4325, top5_acc: 0.7338, loss_cls: 7.2179, loss: 7.2179 2025-04-30 09:03:06,642 - pyskl - INFO - Epoch [32][800/1027] lr: 2.233e-02, eta: 16:10:11, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4081, top5_acc: 0.7063, loss_cls: 7.4546, loss: 7.4546 2025-04-30 09:03:54,498 - pyskl - INFO - Epoch [32][900/1027] lr: 2.232e-02, eta: 16:09:23, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4188, top5_acc: 0.7119, loss_cls: 7.4195, loss: 7.4195 2025-04-30 09:04:41,554 - pyskl - INFO - Epoch [32][1000/1027] lr: 2.230e-02, eta: 16:08:32, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4163, top5_acc: 0.7044, loss_cls: 7.5068, loss: 7.5068 2025-04-30 09:04:54,746 - pyskl - INFO - Saving checkpoint at 32 epochs 2025-04-30 09:05:34,234 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 09:05:34,306 - pyskl - INFO - top1_acc 0.4549 top5_acc 0.8013 2025-04-30 09:05:34,306 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 09:05:34,314 - pyskl - INFO - mean_acc 0.4538 2025-04-30 09:05:34,315 - pyskl - INFO - Epoch(val) [32][413] top1_acc: 0.4549, top5_acc: 0.8013, mean_class_accuracy: 0.4538 2025-04-30 09:06:38,276 - pyskl - INFO - Epoch [33][100/1027] lr: 2.228e-02, eta: 16:07:42, time: 0.640, data_time: 0.255, memory: 7959, top1_acc: 0.4469, top5_acc: 0.7275, loss_cls: 7.2997, loss: 7.2997 2025-04-30 09:07:22,541 - pyskl - INFO - Epoch [33][200/1027] lr: 2.226e-02, eta: 16:06:41, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.4462, top5_acc: 0.7512, loss_cls: 7.1918, loss: 7.1918 2025-04-30 09:08:08,470 - pyskl - INFO - Epoch [33][300/1027] lr: 2.225e-02, eta: 16:05:45, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.4156, top5_acc: 0.7238, loss_cls: 7.3904, loss: 7.3904 2025-04-30 09:08:54,910 - pyskl - INFO - Epoch [33][400/1027] lr: 2.223e-02, eta: 16:04:52, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.4169, top5_acc: 0.7206, loss_cls: 7.2378, loss: 7.2378 2025-04-30 09:09:41,433 - pyskl - INFO - Epoch [33][500/1027] lr: 2.222e-02, eta: 16:03:59, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.4125, top5_acc: 0.7094, loss_cls: 7.4252, loss: 7.4252 2025-04-30 09:10:28,832 - pyskl - INFO - Epoch [33][600/1027] lr: 2.220e-02, eta: 16:03:09, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4387, top5_acc: 0.7125, loss_cls: 7.3320, loss: 7.3320 2025-04-30 09:11:15,518 - pyskl - INFO - Epoch [33][700/1027] lr: 2.218e-02, eta: 16:02:17, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.4206, top5_acc: 0.7206, loss_cls: 7.2460, loss: 7.2460 2025-04-30 09:12:02,293 - pyskl - INFO - Epoch [33][800/1027] lr: 2.217e-02, eta: 16:01:25, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.4206, top5_acc: 0.7144, loss_cls: 7.4513, loss: 7.4513 2025-04-30 09:12:49,586 - pyskl - INFO - Epoch [33][900/1027] lr: 2.215e-02, eta: 16:00:35, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4194, top5_acc: 0.7269, loss_cls: 7.2794, loss: 7.2794 2025-04-30 09:13:37,140 - pyskl - INFO - Epoch [33][1000/1027] lr: 2.214e-02, eta: 15:59:45, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.3956, top5_acc: 0.6987, loss_cls: 7.4959, loss: 7.4959 2025-04-30 09:13:50,583 - pyskl - INFO - Saving checkpoint at 33 epochs 2025-04-30 09:14:30,430 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 09:14:30,506 - pyskl - INFO - top1_acc 0.4270 top5_acc 0.7551 2025-04-30 09:14:30,506 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 09:14:30,514 - pyskl - INFO - mean_acc 0.4275 2025-04-30 09:14:30,515 - pyskl - INFO - Epoch(val) [33][413] top1_acc: 0.4270, top5_acc: 0.7551, mean_class_accuracy: 0.4275 2025-04-30 09:15:34,468 - pyskl - INFO - Epoch [34][100/1027] lr: 2.212e-02, eta: 15:58:55, time: 0.639, data_time: 0.255, memory: 7959, top1_acc: 0.4562, top5_acc: 0.7444, loss_cls: 7.2943, loss: 7.2943 2025-04-30 09:16:18,565 - pyskl - INFO - Epoch [34][200/1027] lr: 2.210e-02, eta: 15:57:54, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.4169, top5_acc: 0.7194, loss_cls: 7.3268, loss: 7.3268 2025-04-30 09:17:04,260 - pyskl - INFO - Epoch [34][300/1027] lr: 2.208e-02, eta: 15:56:58, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.4263, top5_acc: 0.7294, loss_cls: 7.2331, loss: 7.2331 2025-04-30 09:17:50,938 - pyskl - INFO - Epoch [34][400/1027] lr: 2.207e-02, eta: 15:56:06, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.4550, top5_acc: 0.7362, loss_cls: 7.1461, loss: 7.1461 2025-04-30 09:18:37,710 - pyskl - INFO - Epoch [34][500/1027] lr: 2.205e-02, eta: 15:55:14, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.4469, top5_acc: 0.7300, loss_cls: 7.1811, loss: 7.1811 2025-04-30 09:19:24,850 - pyskl - INFO - Epoch [34][600/1027] lr: 2.203e-02, eta: 15:54:24, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7262, loss_cls: 7.3685, loss: 7.3685 2025-04-30 09:20:12,072 - pyskl - INFO - Epoch [34][700/1027] lr: 2.202e-02, eta: 15:53:34, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4294, top5_acc: 0.7269, loss_cls: 7.2385, loss: 7.2385 2025-04-30 09:20:58,826 - pyskl - INFO - Epoch [34][800/1027] lr: 2.200e-02, eta: 15:52:42, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.4044, top5_acc: 0.7250, loss_cls: 7.3689, loss: 7.3689 2025-04-30 09:21:46,250 - pyskl - INFO - Epoch [34][900/1027] lr: 2.198e-02, eta: 15:51:52, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4188, top5_acc: 0.7181, loss_cls: 7.3352, loss: 7.3352 2025-04-30 09:22:33,317 - pyskl - INFO - Epoch [34][1000/1027] lr: 2.197e-02, eta: 15:51:02, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4106, top5_acc: 0.7200, loss_cls: 7.5109, loss: 7.5109 2025-04-30 09:22:46,697 - pyskl - INFO - Saving checkpoint at 34 epochs 2025-04-30 09:23:26,804 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 09:23:26,876 - pyskl - INFO - top1_acc 0.4642 top5_acc 0.7871 2025-04-30 09:23:26,877 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 09:23:26,884 - pyskl - INFO - mean_acc 0.4665 2025-04-30 09:23:26,966 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_31.pth was removed 2025-04-30 09:23:28,641 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_34.pth. 2025-04-30 09:23:28,643 - pyskl - INFO - Best top1_acc is 0.4642 at 34 epoch. 2025-04-30 09:23:28,646 - pyskl - INFO - Epoch(val) [34][413] top1_acc: 0.4642, top5_acc: 0.7871, mean_class_accuracy: 0.4665 2025-04-30 09:24:33,002 - pyskl - INFO - Epoch [35][100/1027] lr: 2.195e-02, eta: 15:50:13, time: 0.644, data_time: 0.260, memory: 7959, top1_acc: 0.4550, top5_acc: 0.7462, loss_cls: 7.2162, loss: 7.2162 2025-04-30 09:25:17,214 - pyskl - INFO - Epoch [35][200/1027] lr: 2.193e-02, eta: 15:49:12, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.4400, top5_acc: 0.7312, loss_cls: 7.1774, loss: 7.1774 2025-04-30 09:26:03,673 - pyskl - INFO - Epoch [35][300/1027] lr: 2.191e-02, eta: 15:48:20, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.4094, top5_acc: 0.7156, loss_cls: 7.3237, loss: 7.3237 2025-04-30 09:26:51,378 - pyskl - INFO - Epoch [35][400/1027] lr: 2.190e-02, eta: 15:47:31, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4550, top5_acc: 0.7400, loss_cls: 7.0732, loss: 7.0732 2025-04-30 09:27:38,992 - pyskl - INFO - Epoch [35][500/1027] lr: 2.188e-02, eta: 15:46:42, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4394, top5_acc: 0.7462, loss_cls: 7.2052, loss: 7.2052 2025-04-30 09:28:26,339 - pyskl - INFO - Epoch [35][600/1027] lr: 2.186e-02, eta: 15:45:53, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4113, top5_acc: 0.7181, loss_cls: 7.4193, loss: 7.4193 2025-04-30 09:29:14,496 - pyskl - INFO - Epoch [35][700/1027] lr: 2.185e-02, eta: 15:45:06, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7281, loss_cls: 7.3240, loss: 7.3240 2025-04-30 09:30:01,180 - pyskl - INFO - Epoch [35][800/1027] lr: 2.183e-02, eta: 15:44:14, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.4175, top5_acc: 0.7137, loss_cls: 7.3519, loss: 7.3519 2025-04-30 09:30:47,821 - pyskl - INFO - Epoch [35][900/1027] lr: 2.181e-02, eta: 15:43:22, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.4319, top5_acc: 0.7212, loss_cls: 7.3762, loss: 7.3762 2025-04-30 09:31:36,910 - pyskl - INFO - Epoch [35][1000/1027] lr: 2.179e-02, eta: 15:42:38, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.4319, top5_acc: 0.7394, loss_cls: 7.1777, loss: 7.1777 2025-04-30 09:31:51,767 - pyskl - INFO - Saving checkpoint at 35 epochs 2025-04-30 09:32:33,693 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 09:32:33,768 - pyskl - INFO - top1_acc 0.4633 top5_acc 0.7757 2025-04-30 09:32:33,768 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 09:32:33,777 - pyskl - INFO - mean_acc 0.4593 2025-04-30 09:32:33,780 - pyskl - INFO - Epoch(val) [35][413] top1_acc: 0.4633, top5_acc: 0.7757, mean_class_accuracy: 0.4593 2025-04-30 09:33:39,920 - pyskl - INFO - Epoch [36][100/1027] lr: 2.177e-02, eta: 15:41:55, time: 0.661, data_time: 0.262, memory: 7959, top1_acc: 0.4500, top5_acc: 0.7306, loss_cls: 7.2279, loss: 7.2279 2025-04-30 09:34:27,729 - pyskl - INFO - Epoch [36][200/1027] lr: 2.176e-02, eta: 15:41:07, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4506, top5_acc: 0.7375, loss_cls: 7.1366, loss: 7.1366 2025-04-30 09:35:16,650 - pyskl - INFO - Epoch [36][300/1027] lr: 2.174e-02, eta: 15:40:22, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.4400, top5_acc: 0.7588, loss_cls: 7.1055, loss: 7.1055 2025-04-30 09:36:05,931 - pyskl - INFO - Epoch [36][400/1027] lr: 2.172e-02, eta: 15:39:39, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.4244, top5_acc: 0.7325, loss_cls: 7.2289, loss: 7.2289 2025-04-30 09:36:54,859 - pyskl - INFO - Epoch [36][500/1027] lr: 2.170e-02, eta: 15:38:54, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.4306, top5_acc: 0.7250, loss_cls: 7.3266, loss: 7.3266 2025-04-30 09:37:44,184 - pyskl - INFO - Epoch [36][600/1027] lr: 2.169e-02, eta: 15:38:11, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.4200, top5_acc: 0.7238, loss_cls: 7.2764, loss: 7.2764 2025-04-30 09:38:34,942 - pyskl - INFO - Epoch [36][700/1027] lr: 2.167e-02, eta: 15:37:32, time: 0.508, data_time: 0.000, memory: 7959, top1_acc: 0.4250, top5_acc: 0.7412, loss_cls: 7.2568, loss: 7.2568 2025-04-30 09:39:24,528 - pyskl - INFO - Epoch [36][800/1027] lr: 2.165e-02, eta: 15:36:49, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.4444, top5_acc: 0.7500, loss_cls: 7.1011, loss: 7.1011 2025-04-30 09:40:16,639 - pyskl - INFO - Epoch [36][900/1027] lr: 2.163e-02, eta: 15:36:15, time: 0.521, data_time: 0.000, memory: 7959, top1_acc: 0.4081, top5_acc: 0.7256, loss_cls: 7.3259, loss: 7.3259 2025-04-30 09:41:08,229 - pyskl - INFO - Epoch [36][1000/1027] lr: 2.162e-02, eta: 15:35:38, time: 0.516, data_time: 0.000, memory: 7959, top1_acc: 0.4356, top5_acc: 0.7319, loss_cls: 7.2450, loss: 7.2450 2025-04-30 09:41:22,642 - pyskl - INFO - Saving checkpoint at 36 epochs 2025-04-30 09:42:05,792 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 09:42:05,864 - pyskl - INFO - top1_acc 0.4696 top5_acc 0.7953 2025-04-30 09:42:05,864 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 09:42:05,872 - pyskl - INFO - mean_acc 0.4686 2025-04-30 09:42:05,939 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_34.pth was removed 2025-04-30 09:42:07,714 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. 2025-04-30 09:42:07,716 - pyskl - INFO - Best top1_acc is 0.4696 at 36 epoch. 2025-04-30 09:42:07,719 - pyskl - INFO - Epoch(val) [36][413] top1_acc: 0.4696, top5_acc: 0.7953, mean_class_accuracy: 0.4686 2025-04-30 09:43:13,804 - pyskl - INFO - Epoch [37][100/1027] lr: 2.159e-02, eta: 15:34:54, time: 0.661, data_time: 0.262, memory: 7959, top1_acc: 0.4850, top5_acc: 0.7619, loss_cls: 6.9707, loss: 6.9707 2025-04-30 09:44:00,403 - pyskl - INFO - Epoch [37][200/1027] lr: 2.158e-02, eta: 15:34:02, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7469, loss_cls: 7.1177, loss: 7.1177 2025-04-30 09:44:49,376 - pyskl - INFO - Epoch [37][300/1027] lr: 2.156e-02, eta: 15:33:17, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.4131, top5_acc: 0.7438, loss_cls: 7.2538, loss: 7.2538 2025-04-30 09:45:37,964 - pyskl - INFO - Epoch [37][400/1027] lr: 2.154e-02, eta: 15:32:31, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.4431, top5_acc: 0.7350, loss_cls: 7.2652, loss: 7.2652 2025-04-30 09:46:26,470 - pyskl - INFO - Epoch [37][500/1027] lr: 2.152e-02, eta: 15:31:45, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.4275, top5_acc: 0.7331, loss_cls: 7.1569, loss: 7.1569 2025-04-30 09:47:15,607 - pyskl - INFO - Epoch [37][600/1027] lr: 2.151e-02, eta: 15:31:00, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.4612, top5_acc: 0.7450, loss_cls: 7.0402, loss: 7.0402 2025-04-30 09:48:04,479 - pyskl - INFO - Epoch [37][700/1027] lr: 2.149e-02, eta: 15:30:15, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.4213, top5_acc: 0.7306, loss_cls: 7.2829, loss: 7.2829 2025-04-30 09:48:52,905 - pyskl - INFO - Epoch [37][800/1027] lr: 2.147e-02, eta: 15:29:29, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4394, top5_acc: 0.7350, loss_cls: 7.1905, loss: 7.1905 2025-04-30 09:49:41,224 - pyskl - INFO - Epoch [37][900/1027] lr: 2.145e-02, eta: 15:28:42, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.4156, top5_acc: 0.7225, loss_cls: 7.3738, loss: 7.3738 2025-04-30 09:50:30,290 - pyskl - INFO - Epoch [37][1000/1027] lr: 2.144e-02, eta: 15:27:57, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.4281, top5_acc: 0.7113, loss_cls: 7.3622, loss: 7.3622 2025-04-30 09:50:44,075 - pyskl - INFO - Saving checkpoint at 37 epochs 2025-04-30 09:51:25,282 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 09:51:25,358 - pyskl - INFO - top1_acc 0.4593 top5_acc 0.7831 2025-04-30 09:51:25,359 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 09:51:25,367 - pyskl - INFO - mean_acc 0.4594 2025-04-30 09:51:25,369 - pyskl - INFO - Epoch(val) [37][413] top1_acc: 0.4593, top5_acc: 0.7831, mean_class_accuracy: 0.4594 2025-04-30 09:52:30,264 - pyskl - INFO - Epoch [38][100/1027] lr: 2.141e-02, eta: 15:27:09, time: 0.649, data_time: 0.260, memory: 7959, top1_acc: 0.4412, top5_acc: 0.7512, loss_cls: 7.2055, loss: 7.2055 2025-04-30 09:53:15,219 - pyskl - INFO - Epoch [38][200/1027] lr: 2.140e-02, eta: 15:26:11, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.4694, top5_acc: 0.7600, loss_cls: 6.9623, loss: 6.9623 2025-04-30 09:54:02,678 - pyskl - INFO - Epoch [38][300/1027] lr: 2.138e-02, eta: 15:25:22, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4725, top5_acc: 0.7475, loss_cls: 7.0658, loss: 7.0658 2025-04-30 09:54:50,650 - pyskl - INFO - Epoch [38][400/1027] lr: 2.136e-02, eta: 15:24:34, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4437, top5_acc: 0.7344, loss_cls: 7.1034, loss: 7.1034 2025-04-30 09:55:38,131 - pyskl - INFO - Epoch [38][500/1027] lr: 2.134e-02, eta: 15:23:44, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4306, top5_acc: 0.7238, loss_cls: 7.3073, loss: 7.3073 2025-04-30 09:56:27,072 - pyskl - INFO - Epoch [38][600/1027] lr: 2.132e-02, eta: 15:22:59, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.4481, top5_acc: 0.7419, loss_cls: 7.1564, loss: 7.1564 2025-04-30 09:57:15,376 - pyskl - INFO - Epoch [38][700/1027] lr: 2.131e-02, eta: 15:22:12, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.4350, top5_acc: 0.7369, loss_cls: 7.1798, loss: 7.1798 2025-04-30 09:58:03,746 - pyskl - INFO - Epoch [38][800/1027] lr: 2.129e-02, eta: 15:21:26, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4363, top5_acc: 0.7244, loss_cls: 7.2911, loss: 7.2911 2025-04-30 09:58:52,375 - pyskl - INFO - Epoch [38][900/1027] lr: 2.127e-02, eta: 15:20:40, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.4406, top5_acc: 0.7425, loss_cls: 7.1218, loss: 7.1218 2025-04-30 09:59:40,340 - pyskl - INFO - Epoch [38][1000/1027] lr: 2.125e-02, eta: 15:19:52, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4612, top5_acc: 0.7419, loss_cls: 7.1393, loss: 7.1393 2025-04-30 09:59:54,231 - pyskl - INFO - Saving checkpoint at 38 epochs 2025-04-30 10:00:34,843 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 10:00:34,916 - pyskl - INFO - top1_acc 0.4686 top5_acc 0.7844 2025-04-30 10:00:34,916 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 10:00:34,923 - pyskl - INFO - mean_acc 0.4689 2025-04-30 10:00:34,925 - pyskl - INFO - Epoch(val) [38][413] top1_acc: 0.4686, top5_acc: 0.7844, mean_class_accuracy: 0.4689 2025-04-30 10:01:40,091 - pyskl - INFO - Epoch [39][100/1027] lr: 2.123e-02, eta: 15:19:03, time: 0.652, data_time: 0.264, memory: 7959, top1_acc: 0.4537, top5_acc: 0.7500, loss_cls: 7.0687, loss: 7.0687 2025-04-30 10:02:24,831 - pyskl - INFO - Epoch [39][200/1027] lr: 2.121e-02, eta: 15:18:06, time: 0.447, data_time: 0.000, memory: 7959, top1_acc: 0.4600, top5_acc: 0.7556, loss_cls: 7.0991, loss: 7.0991 2025-04-30 10:03:12,234 - pyskl - INFO - Epoch [39][300/1027] lr: 2.119e-02, eta: 15:17:16, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4319, top5_acc: 0.7306, loss_cls: 7.2627, loss: 7.2627 2025-04-30 10:04:00,918 - pyskl - INFO - Epoch [39][400/1027] lr: 2.117e-02, eta: 15:16:30, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7419, loss_cls: 7.1528, loss: 7.1528 2025-04-30 10:04:49,260 - pyskl - INFO - Epoch [39][500/1027] lr: 2.115e-02, eta: 15:15:43, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.4450, top5_acc: 0.7544, loss_cls: 7.0231, loss: 7.0231 2025-04-30 10:05:38,065 - pyskl - INFO - Epoch [39][600/1027] lr: 2.114e-02, eta: 15:14:58, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.4500, top5_acc: 0.7394, loss_cls: 7.1513, loss: 7.1513 2025-04-30 10:06:26,913 - pyskl - INFO - Epoch [39][700/1027] lr: 2.112e-02, eta: 15:14:12, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.4594, top5_acc: 0.7425, loss_cls: 7.0566, loss: 7.0566 2025-04-30 10:07:15,044 - pyskl - INFO - Epoch [39][800/1027] lr: 2.110e-02, eta: 15:13:25, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4425, top5_acc: 0.7500, loss_cls: 7.0774, loss: 7.0774 2025-04-30 10:08:03,378 - pyskl - INFO - Epoch [39][900/1027] lr: 2.108e-02, eta: 15:12:38, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.4294, top5_acc: 0.7319, loss_cls: 7.2195, loss: 7.2195 2025-04-30 10:08:52,108 - pyskl - INFO - Epoch [39][1000/1027] lr: 2.106e-02, eta: 15:11:52, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.4138, top5_acc: 0.7262, loss_cls: 7.2446, loss: 7.2446 2025-04-30 10:09:05,808 - pyskl - INFO - Saving checkpoint at 39 epochs 2025-04-30 10:09:46,718 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 10:09:46,791 - pyskl - INFO - top1_acc 0.4781 top5_acc 0.7901 2025-04-30 10:09:46,791 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 10:09:46,798 - pyskl - INFO - mean_acc 0.4791 2025-04-30 10:09:46,864 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_36.pth was removed 2025-04-30 10:09:48,508 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_39.pth. 2025-04-30 10:09:48,510 - pyskl - INFO - Best top1_acc is 0.4781 at 39 epoch. 2025-04-30 10:09:48,514 - pyskl - INFO - Epoch(val) [39][413] top1_acc: 0.4781, top5_acc: 0.7901, mean_class_accuracy: 0.4791 2025-04-30 10:10:54,008 - pyskl - INFO - Epoch [40][100/1027] lr: 2.104e-02, eta: 15:11:04, time: 0.655, data_time: 0.263, memory: 7959, top1_acc: 0.4738, top5_acc: 0.7612, loss_cls: 6.8839, loss: 6.8839 2025-04-30 10:11:38,262 - pyskl - INFO - Epoch [40][200/1027] lr: 2.102e-02, eta: 15:10:05, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.4469, top5_acc: 0.7531, loss_cls: 7.0626, loss: 7.0626 2025-04-30 10:12:25,964 - pyskl - INFO - Epoch [40][300/1027] lr: 2.100e-02, eta: 15:09:16, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4600, top5_acc: 0.7544, loss_cls: 6.9437, loss: 6.9437 2025-04-30 10:13:14,149 - pyskl - INFO - Epoch [40][400/1027] lr: 2.098e-02, eta: 15:08:29, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.4331, top5_acc: 0.7350, loss_cls: 7.1804, loss: 7.1804 2025-04-30 10:14:02,629 - pyskl - INFO - Epoch [40][500/1027] lr: 2.096e-02, eta: 15:07:42, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.4462, top5_acc: 0.7438, loss_cls: 7.1216, loss: 7.1216 2025-04-30 10:14:51,671 - pyskl - INFO - Epoch [40][600/1027] lr: 2.094e-02, eta: 15:06:57, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.4394, top5_acc: 0.7400, loss_cls: 7.2400, loss: 7.2400 2025-04-30 10:15:40,557 - pyskl - INFO - Epoch [40][700/1027] lr: 2.093e-02, eta: 15:06:12, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.4775, top5_acc: 0.7588, loss_cls: 6.9692, loss: 6.9692 2025-04-30 10:16:29,430 - pyskl - INFO - Epoch [40][800/1027] lr: 2.091e-02, eta: 15:05:26, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.4512, top5_acc: 0.7512, loss_cls: 7.1380, loss: 7.1380 2025-04-30 10:17:17,845 - pyskl - INFO - Epoch [40][900/1027] lr: 2.089e-02, eta: 15:04:39, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7206, loss_cls: 7.2646, loss: 7.2646 2025-04-30 10:18:06,204 - pyskl - INFO - Epoch [40][1000/1027] lr: 2.087e-02, eta: 15:03:52, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4537, top5_acc: 0.7388, loss_cls: 6.9823, loss: 6.9823 2025-04-30 10:18:19,792 - pyskl - INFO - Saving checkpoint at 40 epochs 2025-04-30 10:19:00,603 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 10:19:00,675 - pyskl - INFO - top1_acc 0.4784 top5_acc 0.7906 2025-04-30 10:19:00,676 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 10:19:00,683 - pyskl - INFO - mean_acc 0.4795 2025-04-30 10:19:00,749 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_39.pth was removed 2025-04-30 10:19:02,368 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. 2025-04-30 10:19:02,369 - pyskl - INFO - Best top1_acc is 0.4784 at 40 epoch. 2025-04-30 10:19:02,372 - pyskl - INFO - Epoch(val) [40][413] top1_acc: 0.4784, top5_acc: 0.7906, mean_class_accuracy: 0.4795 2025-04-30 10:20:07,050 - pyskl - INFO - Epoch [41][100/1027] lr: 2.085e-02, eta: 15:03:02, time: 0.647, data_time: 0.259, memory: 7959, top1_acc: 0.4794, top5_acc: 0.7575, loss_cls: 7.0058, loss: 7.0058 2025-04-30 10:20:51,218 - pyskl - INFO - Epoch [41][200/1027] lr: 2.083e-02, eta: 15:02:03, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.4713, top5_acc: 0.7669, loss_cls: 7.0403, loss: 7.0403 2025-04-30 10:21:39,061 - pyskl - INFO - Epoch [41][300/1027] lr: 2.081e-02, eta: 15:01:15, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4650, top5_acc: 0.7544, loss_cls: 7.0453, loss: 7.0453 2025-04-30 10:22:27,009 - pyskl - INFO - Epoch [41][400/1027] lr: 2.079e-02, eta: 15:00:27, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4469, top5_acc: 0.7531, loss_cls: 6.9797, loss: 6.9797 2025-04-30 10:23:15,131 - pyskl - INFO - Epoch [41][500/1027] lr: 2.077e-02, eta: 14:59:39, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4512, top5_acc: 0.7481, loss_cls: 7.1001, loss: 7.1001 2025-04-30 10:24:03,054 - pyskl - INFO - Epoch [41][600/1027] lr: 2.075e-02, eta: 14:58:51, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4375, top5_acc: 0.7319, loss_cls: 7.1073, loss: 7.1073 2025-04-30 10:24:50,416 - pyskl - INFO - Epoch [41][700/1027] lr: 2.073e-02, eta: 14:58:01, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4575, top5_acc: 0.7550, loss_cls: 7.0632, loss: 7.0632 2025-04-30 10:25:38,425 - pyskl - INFO - Epoch [41][800/1027] lr: 2.071e-02, eta: 14:57:13, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4800, top5_acc: 0.7600, loss_cls: 7.0227, loss: 7.0227 2025-04-30 10:26:26,508 - pyskl - INFO - Epoch [41][900/1027] lr: 2.069e-02, eta: 14:56:25, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4456, top5_acc: 0.7319, loss_cls: 7.0438, loss: 7.0438 2025-04-30 10:27:14,866 - pyskl - INFO - Epoch [41][1000/1027] lr: 2.067e-02, eta: 14:55:38, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4369, top5_acc: 0.7469, loss_cls: 7.1236, loss: 7.1236 2025-04-30 10:27:28,823 - pyskl - INFO - Saving checkpoint at 41 epochs 2025-04-30 10:28:09,178 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 10:28:09,250 - pyskl - INFO - top1_acc 0.4645 top5_acc 0.7910 2025-04-30 10:28:09,251 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 10:28:09,258 - pyskl - INFO - mean_acc 0.4646 2025-04-30 10:28:09,260 - pyskl - INFO - Epoch(val) [41][413] top1_acc: 0.4645, top5_acc: 0.7910, mean_class_accuracy: 0.4646 2025-04-30 10:29:13,431 - pyskl - INFO - Epoch [42][100/1027] lr: 2.065e-02, eta: 14:54:46, time: 0.642, data_time: 0.253, memory: 7959, top1_acc: 0.4719, top5_acc: 0.7481, loss_cls: 6.9879, loss: 6.9879 2025-04-30 10:29:57,377 - pyskl - INFO - Epoch [42][200/1027] lr: 2.063e-02, eta: 14:53:47, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.4844, top5_acc: 0.7531, loss_cls: 6.9055, loss: 6.9055 2025-04-30 10:30:45,471 - pyskl - INFO - Epoch [42][300/1027] lr: 2.061e-02, eta: 14:53:00, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5000, top5_acc: 0.7750, loss_cls: 6.8793, loss: 6.8793 2025-04-30 10:31:35,938 - pyskl - INFO - Epoch [42][400/1027] lr: 2.059e-02, eta: 14:52:18, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.4594, top5_acc: 0.7569, loss_cls: 7.0420, loss: 7.0420 2025-04-30 10:32:25,338 - pyskl - INFO - Epoch [42][500/1027] lr: 2.057e-02, eta: 14:51:34, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.4481, top5_acc: 0.7525, loss_cls: 7.1426, loss: 7.1426 2025-04-30 10:33:16,211 - pyskl - INFO - Epoch [42][600/1027] lr: 2.055e-02, eta: 14:50:53, time: 0.509, data_time: 0.000, memory: 7959, top1_acc: 0.4306, top5_acc: 0.7531, loss_cls: 7.1274, loss: 7.1274 2025-04-30 10:34:06,806 - pyskl - INFO - Epoch [42][700/1027] lr: 2.053e-02, eta: 14:50:12, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.4225, top5_acc: 0.7388, loss_cls: 7.1245, loss: 7.1245 2025-04-30 10:34:56,868 - pyskl - INFO - Epoch [42][800/1027] lr: 2.051e-02, eta: 14:49:29, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.4537, top5_acc: 0.7681, loss_cls: 7.0009, loss: 7.0009 2025-04-30 10:35:46,201 - pyskl - INFO - Epoch [42][900/1027] lr: 2.049e-02, eta: 14:48:45, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.4587, top5_acc: 0.7544, loss_cls: 7.1304, loss: 7.1304 2025-04-30 10:36:34,315 - pyskl - INFO - Epoch [42][1000/1027] lr: 2.047e-02, eta: 14:47:57, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4662, top5_acc: 0.7675, loss_cls: 7.0296, loss: 7.0296 2025-04-30 10:36:47,963 - pyskl - INFO - Saving checkpoint at 42 epochs 2025-04-30 10:37:28,731 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 10:37:28,805 - pyskl - INFO - top1_acc 0.4504 top5_acc 0.7875 2025-04-30 10:37:28,805 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 10:37:28,813 - pyskl - INFO - mean_acc 0.4550 2025-04-30 10:37:28,815 - pyskl - INFO - Epoch(val) [42][413] top1_acc: 0.4504, top5_acc: 0.7875, mean_class_accuracy: 0.4550 2025-04-30 10:38:34,547 - pyskl - INFO - Epoch [43][100/1027] lr: 2.045e-02, eta: 14:47:08, time: 0.657, data_time: 0.259, memory: 7959, top1_acc: 0.4931, top5_acc: 0.7725, loss_cls: 6.8161, loss: 6.8161 2025-04-30 10:39:21,274 - pyskl - INFO - Epoch [43][200/1027] lr: 2.043e-02, eta: 14:46:17, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.4781, top5_acc: 0.7612, loss_cls: 6.8273, loss: 6.8273 2025-04-30 10:40:09,865 - pyskl - INFO - Epoch [43][300/1027] lr: 2.041e-02, eta: 14:45:30, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.4544, top5_acc: 0.7600, loss_cls: 7.0263, loss: 7.0263 2025-04-30 10:40:59,717 - pyskl - INFO - Epoch [43][400/1027] lr: 2.039e-02, eta: 14:44:47, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.4562, top5_acc: 0.7581, loss_cls: 7.0494, loss: 7.0494 2025-04-30 10:41:50,950 - pyskl - INFO - Epoch [43][500/1027] lr: 2.037e-02, eta: 14:44:07, time: 0.512, data_time: 0.000, memory: 7959, top1_acc: 0.4750, top5_acc: 0.7519, loss_cls: 6.9393, loss: 6.9393 2025-04-30 10:42:41,701 - pyskl - INFO - Epoch [43][600/1027] lr: 2.035e-02, eta: 14:43:25, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.4775, top5_acc: 0.7631, loss_cls: 6.7906, loss: 6.7906 2025-04-30 10:43:32,492 - pyskl - INFO - Epoch [43][700/1027] lr: 2.033e-02, eta: 14:42:44, time: 0.508, data_time: 0.000, memory: 7959, top1_acc: 0.4469, top5_acc: 0.7481, loss_cls: 7.0845, loss: 7.0845 2025-04-30 10:44:22,618 - pyskl - INFO - Epoch [43][800/1027] lr: 2.031e-02, eta: 14:42:01, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.4531, top5_acc: 0.7356, loss_cls: 7.0835, loss: 7.0835 2025-04-30 10:45:12,367 - pyskl - INFO - Epoch [43][900/1027] lr: 2.029e-02, eta: 14:41:18, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.4394, top5_acc: 0.7475, loss_cls: 7.1562, loss: 7.1562 2025-04-30 10:46:01,151 - pyskl - INFO - Epoch [43][1000/1027] lr: 2.027e-02, eta: 14:40:31, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.4569, top5_acc: 0.7525, loss_cls: 7.1638, loss: 7.1638 2025-04-30 10:46:15,405 - pyskl - INFO - Saving checkpoint at 43 epochs 2025-04-30 10:46:56,325 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 10:46:56,399 - pyskl - INFO - top1_acc 0.4613 top5_acc 0.7859 2025-04-30 10:46:56,400 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 10:46:56,408 - pyskl - INFO - mean_acc 0.4591 2025-04-30 10:46:56,410 - pyskl - INFO - Epoch(val) [43][413] top1_acc: 0.4613, top5_acc: 0.7859, mean_class_accuracy: 0.4591 2025-04-30 10:48:01,269 - pyskl - INFO - Epoch [44][100/1027] lr: 2.024e-02, eta: 14:39:40, time: 0.649, data_time: 0.259, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7569, loss_cls: 6.9722, loss: 6.9722 2025-04-30 10:48:46,722 - pyskl - INFO - Epoch [44][200/1027] lr: 2.022e-02, eta: 14:38:45, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.4863, top5_acc: 0.7894, loss_cls: 6.7277, loss: 6.7277 2025-04-30 10:49:34,500 - pyskl - INFO - Epoch [44][300/1027] lr: 2.020e-02, eta: 14:37:56, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4669, top5_acc: 0.7575, loss_cls: 6.8939, loss: 6.8939 2025-04-30 10:50:22,051 - pyskl - INFO - Epoch [44][400/1027] lr: 2.018e-02, eta: 14:37:07, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4612, top5_acc: 0.7525, loss_cls: 7.0630, loss: 7.0630 2025-04-30 10:51:09,543 - pyskl - INFO - Epoch [44][500/1027] lr: 2.016e-02, eta: 14:36:17, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4556, top5_acc: 0.7569, loss_cls: 7.0461, loss: 7.0461 2025-04-30 10:51:57,622 - pyskl - INFO - Epoch [44][600/1027] lr: 2.014e-02, eta: 14:35:29, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4800, top5_acc: 0.7794, loss_cls: 6.8903, loss: 6.8903 2025-04-30 10:52:46,051 - pyskl - INFO - Epoch [44][700/1027] lr: 2.012e-02, eta: 14:34:42, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4825, top5_acc: 0.7544, loss_cls: 6.9628, loss: 6.9628 2025-04-30 10:53:33,736 - pyskl - INFO - Epoch [44][800/1027] lr: 2.010e-02, eta: 14:33:53, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4419, top5_acc: 0.7312, loss_cls: 7.1414, loss: 7.1414 2025-04-30 10:54:21,950 - pyskl - INFO - Epoch [44][900/1027] lr: 2.008e-02, eta: 14:33:06, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.4688, top5_acc: 0.7356, loss_cls: 7.0627, loss: 7.0627 2025-04-30 10:55:10,163 - pyskl - INFO - Epoch [44][1000/1027] lr: 2.006e-02, eta: 14:32:18, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.4656, top5_acc: 0.7569, loss_cls: 6.9663, loss: 6.9663 2025-04-30 10:55:24,176 - pyskl - INFO - Saving checkpoint at 44 epochs 2025-04-30 10:56:03,968 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 10:56:04,039 - pyskl - INFO - top1_acc 0.4975 top5_acc 0.8166 2025-04-30 10:56:04,040 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 10:56:04,047 - pyskl - INFO - mean_acc 0.4986 2025-04-30 10:56:04,112 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_40.pth was removed 2025-04-30 10:56:05,744 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_44.pth. 2025-04-30 10:56:05,746 - pyskl - INFO - Best top1_acc is 0.4975 at 44 epoch. 2025-04-30 10:56:05,749 - pyskl - INFO - Epoch(val) [44][413] top1_acc: 0.4975, top5_acc: 0.8166, mean_class_accuracy: 0.4986 2025-04-30 10:57:09,694 - pyskl - INFO - Epoch [45][100/1027] lr: 2.004e-02, eta: 14:31:24, time: 0.639, data_time: 0.252, memory: 7959, top1_acc: 0.5000, top5_acc: 0.7856, loss_cls: 6.7871, loss: 6.7871 2025-04-30 10:57:55,161 - pyskl - INFO - Epoch [45][200/1027] lr: 2.002e-02, eta: 14:30:29, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.4587, top5_acc: 0.7656, loss_cls: 6.9336, loss: 6.9336 2025-04-30 10:58:42,074 - pyskl - INFO - Epoch [45][300/1027] lr: 2.000e-02, eta: 14:29:39, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4562, top5_acc: 0.7581, loss_cls: 7.0335, loss: 7.0335 2025-04-30 10:59:30,783 - pyskl - INFO - Epoch [45][400/1027] lr: 1.998e-02, eta: 14:28:52, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.4813, top5_acc: 0.7594, loss_cls: 6.9020, loss: 6.9020 2025-04-30 11:00:17,942 - pyskl - INFO - Epoch [45][500/1027] lr: 1.996e-02, eta: 14:28:02, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4794, top5_acc: 0.7569, loss_cls: 6.9202, loss: 6.9202 2025-04-30 11:01:06,678 - pyskl - INFO - Epoch [45][600/1027] lr: 1.994e-02, eta: 14:27:15, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.4981, top5_acc: 0.7769, loss_cls: 6.8672, loss: 6.8672 2025-04-30 11:01:54,814 - pyskl - INFO - Epoch [45][700/1027] lr: 1.991e-02, eta: 14:26:28, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4437, top5_acc: 0.7444, loss_cls: 7.0894, loss: 7.0894 2025-04-30 11:02:43,304 - pyskl - INFO - Epoch [45][800/1027] lr: 1.989e-02, eta: 14:25:40, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.4806, top5_acc: 0.7619, loss_cls: 6.9959, loss: 6.9959 2025-04-30 11:03:31,960 - pyskl - INFO - Epoch [45][900/1027] lr: 1.987e-02, eta: 14:24:54, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.4838, top5_acc: 0.7794, loss_cls: 6.9036, loss: 6.9036 2025-04-30 11:04:20,169 - pyskl - INFO - Epoch [45][1000/1027] lr: 1.985e-02, eta: 14:24:06, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.4631, top5_acc: 0.7469, loss_cls: 7.1246, loss: 7.1246 2025-04-30 11:04:33,978 - pyskl - INFO - Saving checkpoint at 45 epochs 2025-04-30 11:05:14,131 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 11:05:14,203 - pyskl - INFO - top1_acc 0.4766 top5_acc 0.7898 2025-04-30 11:05:14,204 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 11:05:14,211 - pyskl - INFO - mean_acc 0.4743 2025-04-30 11:05:14,213 - pyskl - INFO - Epoch(val) [45][413] top1_acc: 0.4766, top5_acc: 0.7898, mean_class_accuracy: 0.4743 2025-04-30 11:06:18,765 - pyskl - INFO - Epoch [46][100/1027] lr: 1.983e-02, eta: 14:23:13, time: 0.645, data_time: 0.258, memory: 7959, top1_acc: 0.5106, top5_acc: 0.8069, loss_cls: 6.6607, loss: 6.6607 2025-04-30 11:07:03,743 - pyskl - INFO - Epoch [46][200/1027] lr: 1.981e-02, eta: 14:22:18, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.4794, top5_acc: 0.7688, loss_cls: 6.7971, loss: 6.7971 2025-04-30 11:07:50,693 - pyskl - INFO - Epoch [46][300/1027] lr: 1.979e-02, eta: 14:21:27, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4700, top5_acc: 0.7550, loss_cls: 6.9389, loss: 6.9389 2025-04-30 11:08:37,996 - pyskl - INFO - Epoch [46][400/1027] lr: 1.976e-02, eta: 14:20:37, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5025, top5_acc: 0.7662, loss_cls: 6.7850, loss: 6.7850 2025-04-30 11:09:25,778 - pyskl - INFO - Epoch [46][500/1027] lr: 1.974e-02, eta: 14:19:49, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4531, top5_acc: 0.7475, loss_cls: 6.9823, loss: 6.9823 2025-04-30 11:10:13,909 - pyskl - INFO - Epoch [46][600/1027] lr: 1.972e-02, eta: 14:19:01, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4437, top5_acc: 0.7338, loss_cls: 7.1820, loss: 7.1820 2025-04-30 11:11:01,820 - pyskl - INFO - Epoch [46][700/1027] lr: 1.970e-02, eta: 14:18:12, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4713, top5_acc: 0.7531, loss_cls: 6.9790, loss: 6.9790 2025-04-30 11:11:49,856 - pyskl - INFO - Epoch [46][800/1027] lr: 1.968e-02, eta: 14:17:24, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4462, top5_acc: 0.7400, loss_cls: 7.0326, loss: 7.0326 2025-04-30 11:12:38,232 - pyskl - INFO - Epoch [46][900/1027] lr: 1.966e-02, eta: 14:16:37, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4700, top5_acc: 0.7625, loss_cls: 6.9292, loss: 6.9292 2025-04-30 11:13:26,187 - pyskl - INFO - Epoch [46][1000/1027] lr: 1.964e-02, eta: 14:15:49, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4738, top5_acc: 0.7575, loss_cls: 6.9127, loss: 6.9127 2025-04-30 11:13:39,900 - pyskl - INFO - Saving checkpoint at 46 epochs 2025-04-30 11:14:20,590 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 11:14:20,663 - pyskl - INFO - top1_acc 0.4969 top5_acc 0.8110 2025-04-30 11:14:20,664 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 11:14:20,672 - pyskl - INFO - mean_acc 0.4999 2025-04-30 11:14:20,674 - pyskl - INFO - Epoch(val) [46][413] top1_acc: 0.4969, top5_acc: 0.8110, mean_class_accuracy: 0.4999 2025-04-30 11:15:26,171 - pyskl - INFO - Epoch [47][100/1027] lr: 1.961e-02, eta: 14:14:58, time: 0.655, data_time: 0.266, memory: 7959, top1_acc: 0.4994, top5_acc: 0.7844, loss_cls: 6.7826, loss: 6.7826 2025-04-30 11:16:11,392 - pyskl - INFO - Epoch [47][200/1027] lr: 1.959e-02, eta: 14:14:03, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.4919, top5_acc: 0.7581, loss_cls: 6.9265, loss: 6.9265 2025-04-30 11:16:58,279 - pyskl - INFO - Epoch [47][300/1027] lr: 1.957e-02, eta: 14:13:12, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.4863, top5_acc: 0.7837, loss_cls: 6.8936, loss: 6.8936 2025-04-30 11:17:45,406 - pyskl - INFO - Epoch [47][400/1027] lr: 1.955e-02, eta: 14:12:22, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4806, top5_acc: 0.7781, loss_cls: 6.8808, loss: 6.8808 2025-04-30 11:18:33,674 - pyskl - INFO - Epoch [47][500/1027] lr: 1.953e-02, eta: 14:11:35, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.4981, top5_acc: 0.7738, loss_cls: 6.8477, loss: 6.8477 2025-04-30 11:19:22,254 - pyskl - INFO - Epoch [47][600/1027] lr: 1.951e-02, eta: 14:10:48, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.4662, top5_acc: 0.7550, loss_cls: 7.0639, loss: 7.0639 2025-04-30 11:20:09,605 - pyskl - INFO - Epoch [47][700/1027] lr: 1.949e-02, eta: 14:09:58, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5131, top5_acc: 0.7906, loss_cls: 6.7300, loss: 6.7300 2025-04-30 11:20:57,509 - pyskl - INFO - Epoch [47][800/1027] lr: 1.947e-02, eta: 14:09:10, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4494, top5_acc: 0.7394, loss_cls: 7.1238, loss: 7.1238 2025-04-30 11:21:45,496 - pyskl - INFO - Epoch [47][900/1027] lr: 1.944e-02, eta: 14:08:21, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4813, top5_acc: 0.7681, loss_cls: 6.8567, loss: 6.8567 2025-04-30 11:22:33,812 - pyskl - INFO - Epoch [47][1000/1027] lr: 1.942e-02, eta: 14:07:34, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.4788, top5_acc: 0.7581, loss_cls: 6.9369, loss: 6.9369 2025-04-30 11:22:48,120 - pyskl - INFO - Saving checkpoint at 47 epochs 2025-04-30 11:23:28,547 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 11:23:28,623 - pyskl - INFO - top1_acc 0.5039 top5_acc 0.8151 2025-04-30 11:23:28,623 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 11:23:28,631 - pyskl - INFO - mean_acc 0.5066 2025-04-30 11:23:28,708 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_44.pth was removed 2025-04-30 11:23:30,344 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. 2025-04-30 11:23:30,346 - pyskl - INFO - Best top1_acc is 0.5039 at 47 epoch. 2025-04-30 11:23:30,349 - pyskl - INFO - Epoch(val) [47][413] top1_acc: 0.5039, top5_acc: 0.8151, mean_class_accuracy: 0.5066 2025-04-30 11:24:34,481 - pyskl - INFO - Epoch [48][100/1027] lr: 1.940e-02, eta: 14:06:40, time: 0.641, data_time: 0.257, memory: 7959, top1_acc: 0.5156, top5_acc: 0.8069, loss_cls: 6.6355, loss: 6.6355 2025-04-30 11:25:19,664 - pyskl - INFO - Epoch [48][200/1027] lr: 1.938e-02, eta: 14:05:45, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.4825, top5_acc: 0.7762, loss_cls: 6.8337, loss: 6.8337 2025-04-30 11:26:05,775 - pyskl - INFO - Epoch [48][300/1027] lr: 1.935e-02, eta: 14:04:53, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.4875, top5_acc: 0.7694, loss_cls: 6.9032, loss: 6.9032 2025-04-30 11:26:52,865 - pyskl - INFO - Epoch [48][400/1027] lr: 1.933e-02, eta: 14:04:03, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.4900, top5_acc: 0.7875, loss_cls: 6.8054, loss: 6.8054 2025-04-30 11:27:40,943 - pyskl - INFO - Epoch [48][500/1027] lr: 1.931e-02, eta: 14:03:15, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4931, top5_acc: 0.7769, loss_cls: 6.8148, loss: 6.8148 2025-04-30 11:28:29,082 - pyskl - INFO - Epoch [48][600/1027] lr: 1.929e-02, eta: 14:02:27, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4888, top5_acc: 0.7594, loss_cls: 6.8561, loss: 6.8561 2025-04-30 11:29:17,288 - pyskl - INFO - Epoch [48][700/1027] lr: 1.927e-02, eta: 14:01:39, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.4763, top5_acc: 0.7594, loss_cls: 6.9704, loss: 6.9704 2025-04-30 11:30:06,954 - pyskl - INFO - Epoch [48][800/1027] lr: 1.925e-02, eta: 14:00:54, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.4681, top5_acc: 0.7562, loss_cls: 6.9622, loss: 6.9622 2025-04-30 11:30:57,865 - pyskl - INFO - Epoch [48][900/1027] lr: 1.923e-02, eta: 14:00:12, time: 0.509, data_time: 0.000, memory: 7959, top1_acc: 0.4756, top5_acc: 0.7612, loss_cls: 6.9292, loss: 6.9292 2025-04-30 11:31:49,078 - pyskl - INFO - Epoch [48][1000/1027] lr: 1.920e-02, eta: 13:59:31, time: 0.512, data_time: 0.000, memory: 7959, top1_acc: 0.4431, top5_acc: 0.7444, loss_cls: 7.1756, loss: 7.1756 2025-04-30 11:32:02,891 - pyskl - INFO - Saving checkpoint at 48 epochs 2025-04-30 11:32:44,981 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 11:32:45,053 - pyskl - INFO - top1_acc 0.4893 top5_acc 0.8053 2025-04-30 11:32:45,053 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 11:32:45,061 - pyskl - INFO - mean_acc 0.4898 2025-04-30 11:32:45,062 - pyskl - INFO - Epoch(val) [48][413] top1_acc: 0.4893, top5_acc: 0.8053, mean_class_accuracy: 0.4898 2025-04-30 11:33:50,875 - pyskl - INFO - Epoch [49][100/1027] lr: 1.918e-02, eta: 13:58:40, time: 0.658, data_time: 0.262, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7725, loss_cls: 6.7371, loss: 6.7371 2025-04-30 11:34:36,381 - pyskl - INFO - Epoch [49][200/1027] lr: 1.915e-02, eta: 13:57:47, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.5125, top5_acc: 0.7981, loss_cls: 6.5737, loss: 6.5737 2025-04-30 11:35:24,022 - pyskl - INFO - Epoch [49][300/1027] lr: 1.913e-02, eta: 13:56:58, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4756, top5_acc: 0.7631, loss_cls: 6.9365, loss: 6.9365 2025-04-30 11:36:11,957 - pyskl - INFO - Epoch [49][400/1027] lr: 1.911e-02, eta: 13:56:09, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.5169, top5_acc: 0.7844, loss_cls: 6.7701, loss: 6.7701 2025-04-30 11:37:00,017 - pyskl - INFO - Epoch [49][500/1027] lr: 1.909e-02, eta: 13:55:21, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4581, top5_acc: 0.7662, loss_cls: 7.0068, loss: 7.0068 2025-04-30 11:37:49,429 - pyskl - INFO - Epoch [49][600/1027] lr: 1.907e-02, eta: 13:54:36, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.4844, top5_acc: 0.7619, loss_cls: 6.8866, loss: 6.8866 2025-04-30 11:38:39,252 - pyskl - INFO - Epoch [49][700/1027] lr: 1.905e-02, eta: 13:53:51, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.4838, top5_acc: 0.7744, loss_cls: 6.8940, loss: 6.8940 2025-04-30 11:39:29,834 - pyskl - INFO - Epoch [49][800/1027] lr: 1.902e-02, eta: 13:53:08, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.4863, top5_acc: 0.7681, loss_cls: 6.9384, loss: 6.9384 2025-04-30 11:40:20,353 - pyskl - INFO - Epoch [49][900/1027] lr: 1.900e-02, eta: 13:52:25, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7562, loss_cls: 6.9145, loss: 6.9145 2025-04-30 11:41:11,169 - pyskl - INFO - Epoch [49][1000/1027] lr: 1.898e-02, eta: 13:51:43, time: 0.508, data_time: 0.000, memory: 7959, top1_acc: 0.4850, top5_acc: 0.7812, loss_cls: 6.8506, loss: 6.8506 2025-04-30 11:41:25,042 - pyskl - INFO - Saving checkpoint at 49 epochs 2025-04-30 11:42:07,258 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 11:42:07,331 - pyskl - INFO - top1_acc 0.4931 top5_acc 0.8072 2025-04-30 11:42:07,331 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 11:42:07,339 - pyskl - INFO - mean_acc 0.4977 2025-04-30 11:42:07,341 - pyskl - INFO - Epoch(val) [49][413] top1_acc: 0.4931, top5_acc: 0.8072, mean_class_accuracy: 0.4977 2025-04-30 11:43:14,505 - pyskl - INFO - Epoch [50][100/1027] lr: 1.895e-02, eta: 13:50:54, time: 0.672, data_time: 0.263, memory: 7959, top1_acc: 0.5069, top5_acc: 0.7894, loss_cls: 6.6669, loss: 6.6669 2025-04-30 11:44:01,290 - pyskl - INFO - Epoch [50][200/1027] lr: 1.893e-02, eta: 13:50:04, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.4919, top5_acc: 0.7831, loss_cls: 6.8011, loss: 6.8011 2025-04-30 11:44:49,012 - pyskl - INFO - Epoch [50][300/1027] lr: 1.891e-02, eta: 13:49:15, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4944, top5_acc: 0.7837, loss_cls: 6.7505, loss: 6.7505 2025-04-30 11:45:38,054 - pyskl - INFO - Epoch [50][400/1027] lr: 1.889e-02, eta: 13:48:28, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.4850, top5_acc: 0.7788, loss_cls: 6.8447, loss: 6.8447 2025-04-30 11:46:26,088 - pyskl - INFO - Epoch [50][500/1027] lr: 1.887e-02, eta: 13:47:40, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4863, top5_acc: 0.7738, loss_cls: 6.8751, loss: 6.8751 2025-04-30 11:47:14,464 - pyskl - INFO - Epoch [50][600/1027] lr: 1.884e-02, eta: 13:46:53, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4944, top5_acc: 0.7656, loss_cls: 6.8247, loss: 6.8247 2025-04-30 11:48:02,585 - pyskl - INFO - Epoch [50][700/1027] lr: 1.882e-02, eta: 13:46:05, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4950, top5_acc: 0.7819, loss_cls: 6.7940, loss: 6.7940 2025-04-30 11:48:50,375 - pyskl - INFO - Epoch [50][800/1027] lr: 1.880e-02, eta: 13:45:16, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.5100, top5_acc: 0.7881, loss_cls: 6.7075, loss: 6.7075 2025-04-30 11:49:38,522 - pyskl - INFO - Epoch [50][900/1027] lr: 1.878e-02, eta: 13:44:28, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4619, top5_acc: 0.7638, loss_cls: 7.0722, loss: 7.0722 2025-04-30 11:50:27,130 - pyskl - INFO - Epoch [50][1000/1027] lr: 1.876e-02, eta: 13:43:41, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.4594, top5_acc: 0.7762, loss_cls: 6.8914, loss: 6.8914 2025-04-30 11:50:40,917 - pyskl - INFO - Saving checkpoint at 50 epochs 2025-04-30 11:51:21,556 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 11:51:21,630 - pyskl - INFO - top1_acc 0.4916 top5_acc 0.8053 2025-04-30 11:51:21,631 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 11:51:21,641 - pyskl - INFO - mean_acc 0.4918 2025-04-30 11:51:21,643 - pyskl - INFO - Epoch(val) [50][413] top1_acc: 0.4916, top5_acc: 0.8053, mean_class_accuracy: 0.4918 2025-04-30 11:52:26,852 - pyskl - INFO - Epoch [51][100/1027] lr: 1.873e-02, eta: 13:42:48, time: 0.652, data_time: 0.256, memory: 7959, top1_acc: 0.5319, top5_acc: 0.8069, loss_cls: 6.5351, loss: 6.5351 2025-04-30 11:53:12,655 - pyskl - INFO - Epoch [51][200/1027] lr: 1.871e-02, eta: 13:41:55, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.5050, top5_acc: 0.7881, loss_cls: 6.6781, loss: 6.6781 2025-04-30 11:54:00,193 - pyskl - INFO - Epoch [51][300/1027] lr: 1.868e-02, eta: 13:41:06, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4938, top5_acc: 0.7812, loss_cls: 6.8140, loss: 6.8140 2025-04-30 11:54:48,347 - pyskl - INFO - Epoch [51][400/1027] lr: 1.866e-02, eta: 13:40:18, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5150, top5_acc: 0.7831, loss_cls: 6.7582, loss: 6.7582 2025-04-30 11:55:36,660 - pyskl - INFO - Epoch [51][500/1027] lr: 1.864e-02, eta: 13:39:30, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.5025, top5_acc: 0.7781, loss_cls: 6.7706, loss: 6.7706 2025-04-30 11:56:24,086 - pyskl - INFO - Epoch [51][600/1027] lr: 1.862e-02, eta: 13:38:41, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5006, top5_acc: 0.7812, loss_cls: 6.6673, loss: 6.6673 2025-04-30 11:57:12,746 - pyskl - INFO - Epoch [51][700/1027] lr: 1.860e-02, eta: 13:37:53, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.4788, top5_acc: 0.7531, loss_cls: 6.9292, loss: 6.9292 2025-04-30 11:58:01,103 - pyskl - INFO - Epoch [51][800/1027] lr: 1.857e-02, eta: 13:37:06, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7919, loss_cls: 6.7395, loss: 6.7395 2025-04-30 11:58:49,051 - pyskl - INFO - Epoch [51][900/1027] lr: 1.855e-02, eta: 13:36:17, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.5081, top5_acc: 0.7650, loss_cls: 6.7300, loss: 6.7300 2025-04-30 11:59:36,966 - pyskl - INFO - Epoch [51][1000/1027] lr: 1.853e-02, eta: 13:35:29, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4525, top5_acc: 0.7625, loss_cls: 6.9872, loss: 6.9872 2025-04-30 11:59:50,777 - pyskl - INFO - Saving checkpoint at 51 epochs 2025-04-30 12:00:31,368 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 12:00:31,440 - pyskl - INFO - top1_acc 0.4937 top5_acc 0.8054 2025-04-30 12:00:31,440 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 12:00:31,448 - pyskl - INFO - mean_acc 0.4983 2025-04-30 12:00:31,450 - pyskl - INFO - Epoch(val) [51][413] top1_acc: 0.4937, top5_acc: 0.8054, mean_class_accuracy: 0.4983 2025-04-30 12:01:35,944 - pyskl - INFO - Epoch [52][100/1027] lr: 1.850e-02, eta: 13:34:34, time: 0.645, data_time: 0.256, memory: 7959, top1_acc: 0.5463, top5_acc: 0.8000, loss_cls: 6.5391, loss: 6.5391 2025-04-30 12:02:20,869 - pyskl - INFO - Epoch [52][200/1027] lr: 1.848e-02, eta: 13:33:40, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.5069, top5_acc: 0.7881, loss_cls: 6.6948, loss: 6.6948 2025-04-30 12:03:07,909 - pyskl - INFO - Epoch [52][300/1027] lr: 1.846e-02, eta: 13:32:50, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.5056, top5_acc: 0.7987, loss_cls: 6.7082, loss: 6.7082 2025-04-30 12:03:55,388 - pyskl - INFO - Epoch [52][400/1027] lr: 1.843e-02, eta: 13:32:01, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.4925, top5_acc: 0.7875, loss_cls: 6.7509, loss: 6.7509 2025-04-30 12:04:43,893 - pyskl - INFO - Epoch [52][500/1027] lr: 1.841e-02, eta: 13:31:13, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.4919, top5_acc: 0.7850, loss_cls: 6.7327, loss: 6.7327 2025-04-30 12:05:31,940 - pyskl - INFO - Epoch [52][600/1027] lr: 1.839e-02, eta: 13:30:25, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4763, top5_acc: 0.7631, loss_cls: 6.8477, loss: 6.8477 2025-04-30 12:06:19,688 - pyskl - INFO - Epoch [52][700/1027] lr: 1.837e-02, eta: 13:29:36, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5050, top5_acc: 0.7738, loss_cls: 6.7965, loss: 6.7965 2025-04-30 12:07:08,169 - pyskl - INFO - Epoch [52][800/1027] lr: 1.834e-02, eta: 13:28:49, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.4881, top5_acc: 0.7969, loss_cls: 6.7363, loss: 6.7363 2025-04-30 12:07:56,618 - pyskl - INFO - Epoch [52][900/1027] lr: 1.832e-02, eta: 13:28:01, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.4750, top5_acc: 0.7562, loss_cls: 6.9126, loss: 6.9126 2025-04-30 12:08:44,775 - pyskl - INFO - Epoch [52][1000/1027] lr: 1.830e-02, eta: 13:27:13, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.4825, top5_acc: 0.7700, loss_cls: 6.8372, loss: 6.8372 2025-04-30 12:08:58,948 - pyskl - INFO - Saving checkpoint at 52 epochs 2025-04-30 12:09:39,615 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 12:09:39,689 - pyskl - INFO - top1_acc 0.4884 top5_acc 0.7957 2025-04-30 12:09:39,689 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 12:09:39,698 - pyskl - INFO - mean_acc 0.4912 2025-04-30 12:09:39,699 - pyskl - INFO - Epoch(val) [52][413] top1_acc: 0.4884, top5_acc: 0.7957, mean_class_accuracy: 0.4912 2025-04-30 12:10:45,071 - pyskl - INFO - Epoch [53][100/1027] lr: 1.827e-02, eta: 13:26:20, time: 0.654, data_time: 0.263, memory: 7959, top1_acc: 0.5219, top5_acc: 0.7956, loss_cls: 6.6203, loss: 6.6203 2025-04-30 12:11:29,803 - pyskl - INFO - Epoch [53][200/1027] lr: 1.825e-02, eta: 13:25:26, time: 0.447, data_time: 0.000, memory: 7959, top1_acc: 0.5375, top5_acc: 0.8013, loss_cls: 6.6671, loss: 6.6671 2025-04-30 12:12:16,437 - pyskl - INFO - Epoch [53][300/1027] lr: 1.822e-02, eta: 13:24:35, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.7887, loss_cls: 6.7404, loss: 6.7404 2025-04-30 12:13:04,328 - pyskl - INFO - Epoch [53][400/1027] lr: 1.820e-02, eta: 13:23:46, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.5056, top5_acc: 0.7794, loss_cls: 6.7058, loss: 6.7058 2025-04-30 12:13:53,190 - pyskl - INFO - Epoch [53][500/1027] lr: 1.818e-02, eta: 13:23:00, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.8037, loss_cls: 6.6153, loss: 6.6153 2025-04-30 12:14:41,067 - pyskl - INFO - Epoch [53][600/1027] lr: 1.816e-02, eta: 13:22:11, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.4888, top5_acc: 0.7731, loss_cls: 6.8150, loss: 6.8150 2025-04-30 12:15:29,081 - pyskl - INFO - Epoch [53][700/1027] lr: 1.813e-02, eta: 13:21:23, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4913, top5_acc: 0.7831, loss_cls: 6.7467, loss: 6.7467 2025-04-30 12:16:16,872 - pyskl - INFO - Epoch [53][800/1027] lr: 1.811e-02, eta: 13:20:34, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4981, top5_acc: 0.7825, loss_cls: 6.8785, loss: 6.8785 2025-04-30 12:17:04,057 - pyskl - INFO - Epoch [53][900/1027] lr: 1.809e-02, eta: 13:19:44, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5162, top5_acc: 0.7869, loss_cls: 6.7665, loss: 6.7665 2025-04-30 12:17:51,279 - pyskl - INFO - Epoch [53][1000/1027] lr: 1.806e-02, eta: 13:18:55, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.4800, top5_acc: 0.7694, loss_cls: 6.9193, loss: 6.9193 2025-04-30 12:18:04,989 - pyskl - INFO - Saving checkpoint at 53 epochs 2025-04-30 12:18:45,391 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 12:18:45,463 - pyskl - INFO - top1_acc 0.5066 top5_acc 0.8009 2025-04-30 12:18:45,463 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 12:18:45,471 - pyskl - INFO - mean_acc 0.5036 2025-04-30 12:18:45,534 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_47.pth was removed 2025-04-30 12:18:47,145 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_53.pth. 2025-04-30 12:18:47,147 - pyskl - INFO - Best top1_acc is 0.5066 at 53 epoch. 2025-04-30 12:18:47,150 - pyskl - INFO - Epoch(val) [53][413] top1_acc: 0.5066, top5_acc: 0.8009, mean_class_accuracy: 0.5036 2025-04-30 12:19:51,580 - pyskl - INFO - Epoch [54][100/1027] lr: 1.804e-02, eta: 13:18:00, time: 0.644, data_time: 0.255, memory: 7959, top1_acc: 0.5506, top5_acc: 0.8244, loss_cls: 6.4153, loss: 6.4153 2025-04-30 12:20:37,617 - pyskl - INFO - Epoch [54][200/1027] lr: 1.801e-02, eta: 13:17:08, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.5125, top5_acc: 0.8006, loss_cls: 6.5597, loss: 6.5597 2025-04-30 12:21:25,588 - pyskl - INFO - Epoch [54][300/1027] lr: 1.799e-02, eta: 13:16:19, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5319, top5_acc: 0.7987, loss_cls: 6.7365, loss: 6.7365 2025-04-30 12:22:12,931 - pyskl - INFO - Epoch [54][400/1027] lr: 1.797e-02, eta: 13:15:30, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5194, top5_acc: 0.7931, loss_cls: 6.4803, loss: 6.4803 2025-04-30 12:23:00,218 - pyskl - INFO - Epoch [54][500/1027] lr: 1.794e-02, eta: 13:14:40, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4925, top5_acc: 0.7788, loss_cls: 6.8741, loss: 6.8741 2025-04-30 12:23:47,482 - pyskl - INFO - Epoch [54][600/1027] lr: 1.792e-02, eta: 13:13:51, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.4956, top5_acc: 0.7875, loss_cls: 6.7940, loss: 6.7940 2025-04-30 12:24:35,223 - pyskl - INFO - Epoch [54][700/1027] lr: 1.790e-02, eta: 13:13:02, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7756, loss_cls: 6.8718, loss: 6.8718 2025-04-30 12:25:23,994 - pyskl - INFO - Epoch [54][800/1027] lr: 1.787e-02, eta: 13:12:15, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.4856, top5_acc: 0.7844, loss_cls: 6.6743, loss: 6.6743 2025-04-30 12:26:11,969 - pyskl - INFO - Epoch [54][900/1027] lr: 1.785e-02, eta: 13:11:27, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.4713, top5_acc: 0.7725, loss_cls: 6.8904, loss: 6.8904 2025-04-30 12:26:59,695 - pyskl - INFO - Epoch [54][1000/1027] lr: 1.783e-02, eta: 13:10:38, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5144, top5_acc: 0.7856, loss_cls: 6.6361, loss: 6.6361 2025-04-30 12:27:13,435 - pyskl - INFO - Saving checkpoint at 54 epochs 2025-04-30 12:27:53,972 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 12:27:54,047 - pyskl - INFO - top1_acc 0.4949 top5_acc 0.8094 2025-04-30 12:27:54,047 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 12:27:54,056 - pyskl - INFO - mean_acc 0.4921 2025-04-30 12:27:54,058 - pyskl - INFO - Epoch(val) [54][413] top1_acc: 0.4949, top5_acc: 0.8094, mean_class_accuracy: 0.4921 2025-04-30 12:28:59,405 - pyskl - INFO - Epoch [55][100/1027] lr: 1.780e-02, eta: 13:09:44, time: 0.653, data_time: 0.260, memory: 7959, top1_acc: 0.5450, top5_acc: 0.8031, loss_cls: 6.3990, loss: 6.3990 2025-04-30 12:29:46,477 - pyskl - INFO - Epoch [55][200/1027] lr: 1.778e-02, eta: 13:08:54, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5281, top5_acc: 0.7981, loss_cls: 6.5853, loss: 6.5853 2025-04-30 12:30:34,564 - pyskl - INFO - Epoch [55][300/1027] lr: 1.775e-02, eta: 13:08:06, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5044, top5_acc: 0.7963, loss_cls: 6.7292, loss: 6.7292 2025-04-30 12:31:25,059 - pyskl - INFO - Epoch [55][400/1027] lr: 1.773e-02, eta: 13:07:22, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.5106, top5_acc: 0.7969, loss_cls: 6.7076, loss: 6.7076 2025-04-30 12:32:14,540 - pyskl - INFO - Epoch [55][500/1027] lr: 1.771e-02, eta: 13:06:37, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.5175, top5_acc: 0.8106, loss_cls: 6.5874, loss: 6.5874 2025-04-30 12:33:04,912 - pyskl - INFO - Epoch [55][600/1027] lr: 1.768e-02, eta: 13:05:52, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.5031, top5_acc: 0.7788, loss_cls: 6.7565, loss: 6.7565 2025-04-30 12:33:52,723 - pyskl - INFO - Epoch [55][700/1027] lr: 1.766e-02, eta: 13:05:04, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4763, top5_acc: 0.7588, loss_cls: 7.0293, loss: 7.0293 2025-04-30 12:34:41,740 - pyskl - INFO - Epoch [55][800/1027] lr: 1.764e-02, eta: 13:04:17, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.5200, top5_acc: 0.7944, loss_cls: 6.5973, loss: 6.5973 2025-04-30 12:35:29,112 - pyskl - INFO - Epoch [55][900/1027] lr: 1.761e-02, eta: 13:03:28, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.4906, top5_acc: 0.7781, loss_cls: 6.7757, loss: 6.7757 2025-04-30 12:36:18,324 - pyskl - INFO - Epoch [55][1000/1027] lr: 1.759e-02, eta: 13:02:42, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.4975, top5_acc: 0.7694, loss_cls: 6.7635, loss: 6.7635 2025-04-30 12:36:32,523 - pyskl - INFO - Saving checkpoint at 55 epochs 2025-04-30 12:37:13,954 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 12:37:14,031 - pyskl - INFO - top1_acc 0.5125 top5_acc 0.8260 2025-04-30 12:37:14,031 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 12:37:14,039 - pyskl - INFO - mean_acc 0.5158 2025-04-30 12:37:14,103 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_53.pth was removed 2025-04-30 12:37:15,762 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_55.pth. 2025-04-30 12:37:15,764 - pyskl - INFO - Best top1_acc is 0.5125 at 55 epoch. 2025-04-30 12:37:15,767 - pyskl - INFO - Epoch(val) [55][413] top1_acc: 0.5125, top5_acc: 0.8260, mean_class_accuracy: 0.5158 2025-04-30 12:38:21,743 - pyskl - INFO - Epoch [56][100/1027] lr: 1.756e-02, eta: 13:01:49, time: 0.660, data_time: 0.264, memory: 7959, top1_acc: 0.5481, top5_acc: 0.8181, loss_cls: 6.3261, loss: 6.3261 2025-04-30 12:39:08,321 - pyskl - INFO - Epoch [56][200/1027] lr: 1.754e-02, eta: 13:00:58, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.5275, top5_acc: 0.8156, loss_cls: 6.5408, loss: 6.5408 2025-04-30 12:39:57,976 - pyskl - INFO - Epoch [56][300/1027] lr: 1.751e-02, eta: 13:00:12, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.5162, top5_acc: 0.7887, loss_cls: 6.7329, loss: 6.7329 2025-04-30 12:40:47,934 - pyskl - INFO - Epoch [56][400/1027] lr: 1.749e-02, eta: 12:59:27, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.8031, loss_cls: 6.5898, loss: 6.5898 2025-04-30 12:41:37,126 - pyskl - INFO - Epoch [56][500/1027] lr: 1.747e-02, eta: 12:58:41, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.5288, top5_acc: 0.7994, loss_cls: 6.5155, loss: 6.5155 2025-04-30 12:42:27,916 - pyskl - INFO - Epoch [56][600/1027] lr: 1.744e-02, eta: 12:57:58, time: 0.508, data_time: 0.000, memory: 7959, top1_acc: 0.4894, top5_acc: 0.7913, loss_cls: 6.6872, loss: 6.6872 2025-04-30 12:43:18,087 - pyskl - INFO - Epoch [56][700/1027] lr: 1.742e-02, eta: 12:57:13, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.5231, top5_acc: 0.7881, loss_cls: 6.6172, loss: 6.6172 2025-04-30 12:44:07,608 - pyskl - INFO - Epoch [56][800/1027] lr: 1.740e-02, eta: 12:56:27, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.5019, top5_acc: 0.8013, loss_cls: 6.6559, loss: 6.6559 2025-04-30 12:44:56,416 - pyskl - INFO - Epoch [56][900/1027] lr: 1.737e-02, eta: 12:55:40, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.4975, top5_acc: 0.7975, loss_cls: 6.6812, loss: 6.6812 2025-04-30 12:45:44,982 - pyskl - INFO - Epoch [56][1000/1027] lr: 1.735e-02, eta: 12:54:53, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.5088, top5_acc: 0.7744, loss_cls: 6.6853, loss: 6.6853 2025-04-30 12:45:58,684 - pyskl - INFO - Saving checkpoint at 56 epochs 2025-04-30 12:46:39,688 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 12:46:39,761 - pyskl - INFO - top1_acc 0.4954 top5_acc 0.7962 2025-04-30 12:46:39,761 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 12:46:39,769 - pyskl - INFO - mean_acc 0.4921 2025-04-30 12:46:39,770 - pyskl - INFO - Epoch(val) [56][413] top1_acc: 0.4954, top5_acc: 0.7962, mean_class_accuracy: 0.4921 2025-04-30 12:47:45,243 - pyskl - INFO - Epoch [57][100/1027] lr: 1.732e-02, eta: 12:53:59, time: 0.655, data_time: 0.267, memory: 7959, top1_acc: 0.5556, top5_acc: 0.8119, loss_cls: 6.4173, loss: 6.4173 2025-04-30 12:48:30,498 - pyskl - INFO - Epoch [57][200/1027] lr: 1.730e-02, eta: 12:53:06, time: 0.453, data_time: 0.000, memory: 7959, top1_acc: 0.5375, top5_acc: 0.8063, loss_cls: 6.5611, loss: 6.5611 2025-04-30 12:49:16,571 - pyskl - INFO - Epoch [57][300/1027] lr: 1.727e-02, eta: 12:52:14, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.7956, loss_cls: 6.5322, loss: 6.5322 2025-04-30 12:50:03,752 - pyskl - INFO - Epoch [57][400/1027] lr: 1.725e-02, eta: 12:51:24, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5162, top5_acc: 0.7881, loss_cls: 6.5349, loss: 6.5349 2025-04-30 12:50:50,688 - pyskl - INFO - Epoch [57][500/1027] lr: 1.723e-02, eta: 12:50:34, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.5194, top5_acc: 0.7969, loss_cls: 6.6017, loss: 6.6017 2025-04-30 12:51:37,754 - pyskl - INFO - Epoch [57][600/1027] lr: 1.720e-02, eta: 12:49:44, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5212, top5_acc: 0.8063, loss_cls: 6.5810, loss: 6.5810 2025-04-30 12:52:25,323 - pyskl - INFO - Epoch [57][700/1027] lr: 1.718e-02, eta: 12:48:55, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5288, top5_acc: 0.7969, loss_cls: 6.6174, loss: 6.6174 2025-04-30 12:53:13,127 - pyskl - INFO - Epoch [57][800/1027] lr: 1.716e-02, eta: 12:48:06, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.5044, top5_acc: 0.7644, loss_cls: 6.7008, loss: 6.7008 2025-04-30 12:54:01,084 - pyskl - INFO - Epoch [57][900/1027] lr: 1.713e-02, eta: 12:47:18, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.7894, loss_cls: 6.6320, loss: 6.6320 2025-04-30 12:54:49,346 - pyskl - INFO - Epoch [57][1000/1027] lr: 1.711e-02, eta: 12:46:30, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7913, loss_cls: 6.6193, loss: 6.6193 2025-04-30 12:55:03,472 - pyskl - INFO - Saving checkpoint at 57 epochs 2025-04-30 12:55:43,901 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 12:55:43,974 - pyskl - INFO - top1_acc 0.5195 top5_acc 0.8174 2025-04-30 12:55:43,974 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 12:55:43,981 - pyskl - INFO - mean_acc 0.5188 2025-04-30 12:55:44,045 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_55.pth was removed 2025-04-30 12:55:45,678 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_57.pth. 2025-04-30 12:55:45,680 - pyskl - INFO - Best top1_acc is 0.5195 at 57 epoch. 2025-04-30 12:55:45,683 - pyskl - INFO - Epoch(val) [57][413] top1_acc: 0.5195, top5_acc: 0.8174, mean_class_accuracy: 0.5188 2025-04-30 12:56:50,488 - pyskl - INFO - Epoch [58][100/1027] lr: 1.708e-02, eta: 12:45:35, time: 0.648, data_time: 0.260, memory: 7959, top1_acc: 0.5375, top5_acc: 0.8206, loss_cls: 6.5273, loss: 6.5273 2025-04-30 12:57:35,756 - pyskl - INFO - Epoch [58][200/1027] lr: 1.705e-02, eta: 12:44:42, time: 0.453, data_time: 0.000, memory: 7959, top1_acc: 0.5450, top5_acc: 0.8150, loss_cls: 6.4788, loss: 6.4788 2025-04-30 12:58:23,021 - pyskl - INFO - Epoch [58][300/1027] lr: 1.703e-02, eta: 12:43:53, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5275, top5_acc: 0.8206, loss_cls: 6.4677, loss: 6.4677 2025-04-30 12:59:10,743 - pyskl - INFO - Epoch [58][400/1027] lr: 1.701e-02, eta: 12:43:04, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5112, top5_acc: 0.7863, loss_cls: 6.6992, loss: 6.6992 2025-04-30 12:59:58,842 - pyskl - INFO - Epoch [58][500/1027] lr: 1.698e-02, eta: 12:42:16, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5181, top5_acc: 0.8100, loss_cls: 6.6418, loss: 6.6418 2025-04-30 13:00:46,883 - pyskl - INFO - Epoch [58][600/1027] lr: 1.696e-02, eta: 12:41:27, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.7900, loss_cls: 6.6424, loss: 6.6424 2025-04-30 13:01:35,486 - pyskl - INFO - Epoch [58][700/1027] lr: 1.694e-02, eta: 12:40:40, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.5262, top5_acc: 0.8013, loss_cls: 6.6173, loss: 6.6173 2025-04-30 13:02:23,042 - pyskl - INFO - Epoch [58][800/1027] lr: 1.691e-02, eta: 12:39:51, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5269, top5_acc: 0.8100, loss_cls: 6.5415, loss: 6.5415 2025-04-30 13:03:10,652 - pyskl - INFO - Epoch [58][900/1027] lr: 1.689e-02, eta: 12:39:02, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.4963, top5_acc: 0.7975, loss_cls: 6.8015, loss: 6.8015 2025-04-30 13:03:58,843 - pyskl - INFO - Epoch [58][1000/1027] lr: 1.686e-02, eta: 12:38:14, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.4956, top5_acc: 0.7756, loss_cls: 6.7215, loss: 6.7215 2025-04-30 13:04:12,647 - pyskl - INFO - Saving checkpoint at 58 epochs 2025-04-30 13:04:52,651 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 13:04:52,722 - pyskl - INFO - top1_acc 0.5181 top5_acc 0.8094 2025-04-30 13:04:52,723 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 13:04:52,730 - pyskl - INFO - mean_acc 0.5167 2025-04-30 13:04:52,731 - pyskl - INFO - Epoch(val) [58][413] top1_acc: 0.5181, top5_acc: 0.8094, mean_class_accuracy: 0.5167 2025-04-30 13:05:56,956 - pyskl - INFO - Epoch [59][100/1027] lr: 1.683e-02, eta: 12:37:17, time: 0.642, data_time: 0.255, memory: 7959, top1_acc: 0.5806, top5_acc: 0.8281, loss_cls: 6.2976, loss: 6.2976 2025-04-30 13:06:41,187 - pyskl - INFO - Epoch [59][200/1027] lr: 1.681e-02, eta: 12:36:23, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8163, loss_cls: 6.2317, loss: 6.2317 2025-04-30 13:07:27,864 - pyskl - INFO - Epoch [59][300/1027] lr: 1.679e-02, eta: 12:35:33, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.8169, loss_cls: 6.4843, loss: 6.4843 2025-04-30 13:08:15,121 - pyskl - INFO - Epoch [59][400/1027] lr: 1.676e-02, eta: 12:34:43, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5169, top5_acc: 0.7881, loss_cls: 6.6815, loss: 6.6815 2025-04-30 13:09:03,598 - pyskl - INFO - Epoch [59][500/1027] lr: 1.674e-02, eta: 12:33:56, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.5325, top5_acc: 0.8044, loss_cls: 6.5862, loss: 6.5862 2025-04-30 13:09:51,281 - pyskl - INFO - Epoch [59][600/1027] lr: 1.671e-02, eta: 12:33:07, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5500, top5_acc: 0.8137, loss_cls: 6.4641, loss: 6.4641 2025-04-30 13:10:39,943 - pyskl - INFO - Epoch [59][700/1027] lr: 1.669e-02, eta: 12:32:19, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.5062, top5_acc: 0.7987, loss_cls: 6.6271, loss: 6.6271 2025-04-30 13:11:27,798 - pyskl - INFO - Epoch [59][800/1027] lr: 1.667e-02, eta: 12:31:31, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.5012, top5_acc: 0.7863, loss_cls: 6.6273, loss: 6.6273 2025-04-30 13:12:15,941 - pyskl - INFO - Epoch [59][900/1027] lr: 1.664e-02, eta: 12:30:43, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5056, top5_acc: 0.7788, loss_cls: 6.6887, loss: 6.6887 2025-04-30 13:13:03,725 - pyskl - INFO - Epoch [59][1000/1027] lr: 1.662e-02, eta: 12:29:54, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.4981, top5_acc: 0.7925, loss_cls: 6.6853, loss: 6.6853 2025-04-30 13:13:17,424 - pyskl - INFO - Saving checkpoint at 59 epochs 2025-04-30 13:13:58,096 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 13:13:58,168 - pyskl - INFO - top1_acc 0.4666 top5_acc 0.7875 2025-04-30 13:13:58,168 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 13:13:58,176 - pyskl - INFO - mean_acc 0.4722 2025-04-30 13:13:58,177 - pyskl - INFO - Epoch(val) [59][413] top1_acc: 0.4666, top5_acc: 0.7875, mean_class_accuracy: 0.4722 2025-04-30 13:15:02,831 - pyskl - INFO - Epoch [60][100/1027] lr: 1.659e-02, eta: 12:28:58, time: 0.646, data_time: 0.262, memory: 7959, top1_acc: 0.5444, top5_acc: 0.8119, loss_cls: 6.3942, loss: 6.3942 2025-04-30 13:15:47,814 - pyskl - INFO - Epoch [60][200/1027] lr: 1.656e-02, eta: 12:28:05, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.5706, top5_acc: 0.8206, loss_cls: 6.2460, loss: 6.2460 2025-04-30 13:16:34,584 - pyskl - INFO - Epoch [60][300/1027] lr: 1.654e-02, eta: 12:27:15, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.5094, top5_acc: 0.7925, loss_cls: 6.5309, loss: 6.5309 2025-04-30 13:17:22,554 - pyskl - INFO - Epoch [60][400/1027] lr: 1.651e-02, eta: 12:26:27, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5425, top5_acc: 0.8075, loss_cls: 6.3946, loss: 6.3946 2025-04-30 13:18:11,508 - pyskl - INFO - Epoch [60][500/1027] lr: 1.649e-02, eta: 12:25:40, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.7869, loss_cls: 6.5393, loss: 6.5393 2025-04-30 13:18:59,987 - pyskl - INFO - Epoch [60][600/1027] lr: 1.647e-02, eta: 12:24:52, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.5406, top5_acc: 0.8175, loss_cls: 6.4216, loss: 6.4216 2025-04-30 13:19:47,997 - pyskl - INFO - Epoch [60][700/1027] lr: 1.644e-02, eta: 12:24:04, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5119, top5_acc: 0.7944, loss_cls: 6.5423, loss: 6.5423 2025-04-30 13:20:36,134 - pyskl - INFO - Epoch [60][800/1027] lr: 1.642e-02, eta: 12:23:16, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8113, loss_cls: 6.5663, loss: 6.5663 2025-04-30 13:21:24,276 - pyskl - INFO - Epoch [60][900/1027] lr: 1.639e-02, eta: 12:22:28, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.4981, top5_acc: 0.7881, loss_cls: 6.7103, loss: 6.7103 2025-04-30 13:22:13,226 - pyskl - INFO - Epoch [60][1000/1027] lr: 1.637e-02, eta: 12:21:41, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.5262, top5_acc: 0.7981, loss_cls: 6.5595, loss: 6.5595 2025-04-30 13:22:27,238 - pyskl - INFO - Saving checkpoint at 60 epochs 2025-04-30 13:23:07,109 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 13:23:07,180 - pyskl - INFO - top1_acc 0.4913 top5_acc 0.7977 2025-04-30 13:23:07,181 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 13:23:07,188 - pyskl - INFO - mean_acc 0.4900 2025-04-30 13:23:07,189 - pyskl - INFO - Epoch(val) [60][413] top1_acc: 0.4913, top5_acc: 0.7977, mean_class_accuracy: 0.4900 2025-04-30 13:24:11,429 - pyskl - INFO - Epoch [61][100/1027] lr: 1.634e-02, eta: 12:20:44, time: 0.642, data_time: 0.253, memory: 7959, top1_acc: 0.5756, top5_acc: 0.8219, loss_cls: 6.2806, loss: 6.2806 2025-04-30 13:24:55,640 - pyskl - INFO - Epoch [61][200/1027] lr: 1.631e-02, eta: 12:19:50, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.5550, top5_acc: 0.8225, loss_cls: 6.3823, loss: 6.3823 2025-04-30 13:25:42,652 - pyskl - INFO - Epoch [61][300/1027] lr: 1.629e-02, eta: 12:19:01, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8100, loss_cls: 6.3811, loss: 6.3811 2025-04-30 13:26:29,941 - pyskl - INFO - Epoch [61][400/1027] lr: 1.627e-02, eta: 12:18:11, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8119, loss_cls: 6.4173, loss: 6.4173 2025-04-30 13:27:17,807 - pyskl - INFO - Epoch [61][500/1027] lr: 1.624e-02, eta: 12:17:23, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.8163, loss_cls: 6.3903, loss: 6.3903 2025-04-30 13:28:07,682 - pyskl - INFO - Epoch [61][600/1027] lr: 1.622e-02, eta: 12:16:37, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.5225, top5_acc: 0.7987, loss_cls: 6.5525, loss: 6.5525 2025-04-30 13:28:56,773 - pyskl - INFO - Epoch [61][700/1027] lr: 1.619e-02, eta: 12:15:51, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.5469, top5_acc: 0.8100, loss_cls: 6.5948, loss: 6.5948 2025-04-30 13:29:46,840 - pyskl - INFO - Epoch [61][800/1027] lr: 1.617e-02, eta: 12:15:05, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.5281, top5_acc: 0.8000, loss_cls: 6.5318, loss: 6.5318 2025-04-30 13:30:36,945 - pyskl - INFO - Epoch [61][900/1027] lr: 1.614e-02, eta: 12:14:20, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.5369, top5_acc: 0.8094, loss_cls: 6.5154, loss: 6.5154 2025-04-30 13:31:27,663 - pyskl - INFO - Epoch [61][1000/1027] lr: 1.612e-02, eta: 12:13:36, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.5262, top5_acc: 0.7919, loss_cls: 6.5716, loss: 6.5716 2025-04-30 13:31:42,490 - pyskl - INFO - Saving checkpoint at 61 epochs 2025-04-30 13:32:23,547 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 13:32:23,621 - pyskl - INFO - top1_acc 0.5322 top5_acc 0.8371 2025-04-30 13:32:23,621 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 13:32:23,630 - pyskl - INFO - mean_acc 0.5335 2025-04-30 13:32:23,697 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_57.pth was removed 2025-04-30 13:32:25,305 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_61.pth. 2025-04-30 13:32:25,307 - pyskl - INFO - Best top1_acc is 0.5322 at 61 epoch. 2025-04-30 13:32:25,310 - pyskl - INFO - Epoch(val) [61][413] top1_acc: 0.5322, top5_acc: 0.8371, mean_class_accuracy: 0.5335 2025-04-30 13:33:30,655 - pyskl - INFO - Epoch [62][100/1027] lr: 1.609e-02, eta: 12:12:41, time: 0.653, data_time: 0.265, memory: 7959, top1_acc: 0.5663, top5_acc: 0.8381, loss_cls: 6.2632, loss: 6.2632 2025-04-30 13:34:14,795 - pyskl - INFO - Epoch [62][200/1027] lr: 1.606e-02, eta: 12:11:47, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8206, loss_cls: 6.3657, loss: 6.3657 2025-04-30 13:35:01,423 - pyskl - INFO - Epoch [62][300/1027] lr: 1.604e-02, eta: 12:10:56, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.5537, top5_acc: 0.8125, loss_cls: 6.3929, loss: 6.3929 2025-04-30 13:35:48,859 - pyskl - INFO - Epoch [62][400/1027] lr: 1.602e-02, eta: 12:10:07, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5394, top5_acc: 0.8206, loss_cls: 6.5748, loss: 6.5748 2025-04-30 13:36:39,208 - pyskl - INFO - Epoch [62][500/1027] lr: 1.599e-02, eta: 12:09:22, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.5337, top5_acc: 0.8194, loss_cls: 6.3524, loss: 6.3524 2025-04-30 13:37:28,541 - pyskl - INFO - Epoch [62][600/1027] lr: 1.597e-02, eta: 12:08:36, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.5344, top5_acc: 0.8100, loss_cls: 6.4518, loss: 6.4518 2025-04-30 13:38:19,152 - pyskl - INFO - Epoch [62][700/1027] lr: 1.594e-02, eta: 12:07:51, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.5413, top5_acc: 0.8050, loss_cls: 6.4825, loss: 6.4825 2025-04-30 13:39:09,370 - pyskl - INFO - Epoch [62][800/1027] lr: 1.592e-02, eta: 12:07:06, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.5312, top5_acc: 0.8081, loss_cls: 6.4557, loss: 6.4557 2025-04-30 13:40:00,816 - pyskl - INFO - Epoch [62][900/1027] lr: 1.589e-02, eta: 12:06:22, time: 0.514, data_time: 0.000, memory: 7959, top1_acc: 0.5363, top5_acc: 0.7887, loss_cls: 6.4960, loss: 6.4960 2025-04-30 13:40:52,124 - pyskl - INFO - Epoch [62][1000/1027] lr: 1.587e-02, eta: 12:05:39, time: 0.513, data_time: 0.000, memory: 7959, top1_acc: 0.5238, top5_acc: 0.7975, loss_cls: 6.5822, loss: 6.5822 2025-04-30 13:41:06,420 - pyskl - INFO - Saving checkpoint at 62 epochs 2025-04-30 13:41:48,151 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 13:41:48,227 - pyskl - INFO - top1_acc 0.4954 top5_acc 0.8057 2025-04-30 13:41:48,227 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 13:41:48,235 - pyskl - INFO - mean_acc 0.4949 2025-04-30 13:41:48,236 - pyskl - INFO - Epoch(val) [62][413] top1_acc: 0.4954, top5_acc: 0.8057, mean_class_accuracy: 0.4949 2025-04-30 13:42:53,477 - pyskl - INFO - Epoch [63][100/1027] lr: 1.584e-02, eta: 12:04:43, time: 0.652, data_time: 0.258, memory: 7959, top1_acc: 0.5900, top5_acc: 0.8350, loss_cls: 6.1554, loss: 6.1554 2025-04-30 13:43:39,179 - pyskl - INFO - Epoch [63][200/1027] lr: 1.581e-02, eta: 12:03:52, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8219, loss_cls: 6.2986, loss: 6.2986 2025-04-30 13:44:26,316 - pyskl - INFO - Epoch [63][300/1027] lr: 1.579e-02, eta: 12:03:02, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5537, top5_acc: 0.8181, loss_cls: 6.2982, loss: 6.2982 2025-04-30 13:45:14,477 - pyskl - INFO - Epoch [63][400/1027] lr: 1.576e-02, eta: 12:02:14, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5319, top5_acc: 0.7987, loss_cls: 6.5227, loss: 6.5227 2025-04-30 13:46:02,998 - pyskl - INFO - Epoch [63][500/1027] lr: 1.574e-02, eta: 12:01:26, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.5519, top5_acc: 0.8156, loss_cls: 6.4489, loss: 6.4489 2025-04-30 13:46:50,834 - pyskl - INFO - Epoch [63][600/1027] lr: 1.571e-02, eta: 12:00:38, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.5550, top5_acc: 0.8313, loss_cls: 6.3986, loss: 6.3986 2025-04-30 13:47:38,328 - pyskl - INFO - Epoch [63][700/1027] lr: 1.569e-02, eta: 11:59:49, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5400, top5_acc: 0.8037, loss_cls: 6.4308, loss: 6.4308 2025-04-30 13:48:27,182 - pyskl - INFO - Epoch [63][800/1027] lr: 1.566e-02, eta: 11:59:01, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.5394, top5_acc: 0.8000, loss_cls: 6.4484, loss: 6.4484 2025-04-30 13:49:14,819 - pyskl - INFO - Epoch [63][900/1027] lr: 1.564e-02, eta: 11:58:12, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5212, top5_acc: 0.7950, loss_cls: 6.6385, loss: 6.6385 2025-04-30 13:50:02,952 - pyskl - INFO - Epoch [63][1000/1027] lr: 1.562e-02, eta: 11:57:24, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.8100, loss_cls: 6.3968, loss: 6.3968 2025-04-30 13:50:16,637 - pyskl - INFO - Saving checkpoint at 63 epochs 2025-04-30 13:50:57,071 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 13:50:57,144 - pyskl - INFO - top1_acc 0.5098 top5_acc 0.8085 2025-04-30 13:50:57,144 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 13:50:57,152 - pyskl - INFO - mean_acc 0.5100 2025-04-30 13:50:57,153 - pyskl - INFO - Epoch(val) [63][413] top1_acc: 0.5098, top5_acc: 0.8085, mean_class_accuracy: 0.5100 2025-04-30 13:52:01,594 - pyskl - INFO - Epoch [64][100/1027] lr: 1.558e-02, eta: 11:56:28, time: 0.644, data_time: 0.260, memory: 7959, top1_acc: 0.5844, top5_acc: 0.8475, loss_cls: 6.2012, loss: 6.2012 2025-04-30 13:52:46,355 - pyskl - INFO - Epoch [64][200/1027] lr: 1.556e-02, eta: 11:55:35, time: 0.448, data_time: 0.000, memory: 7959, top1_acc: 0.5750, top5_acc: 0.8125, loss_cls: 6.3203, loss: 6.3203 2025-04-30 13:53:32,354 - pyskl - INFO - Epoch [64][300/1027] lr: 1.553e-02, eta: 11:54:44, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.5544, top5_acc: 0.8194, loss_cls: 6.3692, loss: 6.3692 2025-04-30 13:54:19,714 - pyskl - INFO - Epoch [64][400/1027] lr: 1.551e-02, eta: 11:53:54, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8337, loss_cls: 6.2281, loss: 6.2281 2025-04-30 13:55:08,497 - pyskl - INFO - Epoch [64][500/1027] lr: 1.549e-02, eta: 11:53:07, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.5431, top5_acc: 0.8075, loss_cls: 6.4050, loss: 6.4050 2025-04-30 13:55:56,730 - pyskl - INFO - Epoch [64][600/1027] lr: 1.546e-02, eta: 11:52:19, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5575, top5_acc: 0.8369, loss_cls: 6.2635, loss: 6.2635 2025-04-30 13:56:44,322 - pyskl - INFO - Epoch [64][700/1027] lr: 1.544e-02, eta: 11:51:30, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5294, top5_acc: 0.8050, loss_cls: 6.5000, loss: 6.5000 2025-04-30 13:57:32,021 - pyskl - INFO - Epoch [64][800/1027] lr: 1.541e-02, eta: 11:50:41, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5331, top5_acc: 0.8075, loss_cls: 6.5529, loss: 6.5529 2025-04-30 13:58:18,853 - pyskl - INFO - Epoch [64][900/1027] lr: 1.539e-02, eta: 11:49:51, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.5556, top5_acc: 0.8213, loss_cls: 6.3057, loss: 6.3057 2025-04-30 13:59:07,023 - pyskl - INFO - Epoch [64][1000/1027] lr: 1.536e-02, eta: 11:49:03, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5306, top5_acc: 0.8037, loss_cls: 6.5941, loss: 6.5941 2025-04-30 13:59:20,523 - pyskl - INFO - Saving checkpoint at 64 epochs 2025-04-30 14:00:00,820 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 14:00:00,893 - pyskl - INFO - top1_acc 0.5234 top5_acc 0.8277 2025-04-30 14:00:00,894 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 14:00:00,901 - pyskl - INFO - mean_acc 0.5255 2025-04-30 14:00:00,903 - pyskl - INFO - Epoch(val) [64][413] top1_acc: 0.5234, top5_acc: 0.8277, mean_class_accuracy: 0.5255 2025-04-30 14:01:05,073 - pyskl - INFO - Epoch [65][100/1027] lr: 1.533e-02, eta: 11:48:06, time: 0.642, data_time: 0.257, memory: 7959, top1_acc: 0.5956, top5_acc: 0.8413, loss_cls: 6.1518, loss: 6.1518 2025-04-30 14:01:49,246 - pyskl - INFO - Epoch [65][200/1027] lr: 1.530e-02, eta: 11:47:13, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.8306, loss_cls: 6.3288, loss: 6.3288 2025-04-30 14:02:35,101 - pyskl - INFO - Epoch [65][300/1027] lr: 1.528e-02, eta: 11:46:21, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.5794, top5_acc: 0.8369, loss_cls: 6.2534, loss: 6.2534 2025-04-30 14:03:21,455 - pyskl - INFO - Epoch [65][400/1027] lr: 1.526e-02, eta: 11:45:31, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.5650, top5_acc: 0.8187, loss_cls: 6.3006, loss: 6.3006 2025-04-30 14:04:08,731 - pyskl - INFO - Epoch [65][500/1027] lr: 1.523e-02, eta: 11:44:42, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5531, top5_acc: 0.8144, loss_cls: 6.3983, loss: 6.3983 2025-04-30 14:04:56,519 - pyskl - INFO - Epoch [65][600/1027] lr: 1.521e-02, eta: 11:43:53, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.5288, top5_acc: 0.8113, loss_cls: 6.5637, loss: 6.5637 2025-04-30 14:05:44,880 - pyskl - INFO - Epoch [65][700/1027] lr: 1.518e-02, eta: 11:43:05, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.5537, top5_acc: 0.8150, loss_cls: 6.3280, loss: 6.3280 2025-04-30 14:06:33,549 - pyskl - INFO - Epoch [65][800/1027] lr: 1.516e-02, eta: 11:42:18, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.5606, top5_acc: 0.8137, loss_cls: 6.4150, loss: 6.4150 2025-04-30 14:07:22,154 - pyskl - INFO - Epoch [65][900/1027] lr: 1.513e-02, eta: 11:41:30, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.5475, top5_acc: 0.8131, loss_cls: 6.4795, loss: 6.4795 2025-04-30 14:08:09,808 - pyskl - INFO - Epoch [65][1000/1027] lr: 1.511e-02, eta: 11:40:41, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5550, top5_acc: 0.8094, loss_cls: 6.4226, loss: 6.4226 2025-04-30 14:08:23,623 - pyskl - INFO - Saving checkpoint at 65 epochs 2025-04-30 14:09:03,682 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 14:09:03,755 - pyskl - INFO - top1_acc 0.5284 top5_acc 0.8292 2025-04-30 14:09:03,755 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 14:09:03,762 - pyskl - INFO - mean_acc 0.5264 2025-04-30 14:09:03,763 - pyskl - INFO - Epoch(val) [65][413] top1_acc: 0.5284, top5_acc: 0.8292, mean_class_accuracy: 0.5264 2025-04-30 14:10:08,818 - pyskl - INFO - Epoch [66][100/1027] lr: 1.507e-02, eta: 11:39:45, time: 0.650, data_time: 0.261, memory: 7959, top1_acc: 0.5663, top5_acc: 0.8406, loss_cls: 6.1401, loss: 6.1401 2025-04-30 14:10:53,215 - pyskl - INFO - Epoch [66][200/1027] lr: 1.505e-02, eta: 11:38:52, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.5644, top5_acc: 0.8294, loss_cls: 6.2914, loss: 6.2914 2025-04-30 14:11:39,628 - pyskl - INFO - Epoch [66][300/1027] lr: 1.502e-02, eta: 11:38:02, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.5875, top5_acc: 0.8350, loss_cls: 6.1070, loss: 6.1070 2025-04-30 14:12:26,461 - pyskl - INFO - Epoch [66][400/1027] lr: 1.500e-02, eta: 11:37:12, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.5656, top5_acc: 0.8400, loss_cls: 6.2519, loss: 6.2519 2025-04-30 14:13:14,348 - pyskl - INFO - Epoch [66][500/1027] lr: 1.497e-02, eta: 11:36:24, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.5644, top5_acc: 0.8156, loss_cls: 6.1880, loss: 6.1880 2025-04-30 14:14:02,039 - pyskl - INFO - Epoch [66][600/1027] lr: 1.495e-02, eta: 11:35:35, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5581, top5_acc: 0.8269, loss_cls: 6.3710, loss: 6.3710 2025-04-30 14:14:50,611 - pyskl - INFO - Epoch [66][700/1027] lr: 1.492e-02, eta: 11:34:47, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.5456, top5_acc: 0.8150, loss_cls: 6.3915, loss: 6.3915 2025-04-30 14:15:38,790 - pyskl - INFO - Epoch [66][800/1027] lr: 1.490e-02, eta: 11:33:59, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5463, top5_acc: 0.8163, loss_cls: 6.4349, loss: 6.4349 2025-04-30 14:16:27,477 - pyskl - INFO - Epoch [66][900/1027] lr: 1.487e-02, eta: 11:33:12, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.8200, loss_cls: 6.3512, loss: 6.3512 2025-04-30 14:17:15,656 - pyskl - INFO - Epoch [66][1000/1027] lr: 1.485e-02, eta: 11:32:24, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5506, top5_acc: 0.8125, loss_cls: 6.3111, loss: 6.3111 2025-04-30 14:17:30,034 - pyskl - INFO - Saving checkpoint at 66 epochs 2025-04-30 14:18:10,880 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 14:18:10,954 - pyskl - INFO - top1_acc 0.5274 top5_acc 0.8306 2025-04-30 14:18:10,954 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 14:18:10,962 - pyskl - INFO - mean_acc 0.5285 2025-04-30 14:18:10,964 - pyskl - INFO - Epoch(val) [66][413] top1_acc: 0.5274, top5_acc: 0.8306, mean_class_accuracy: 0.5285 2025-04-30 14:19:15,490 - pyskl - INFO - Epoch [67][100/1027] lr: 1.482e-02, eta: 11:31:27, time: 0.645, data_time: 0.259, memory: 7959, top1_acc: 0.6012, top5_acc: 0.8562, loss_cls: 6.0257, loss: 6.0257 2025-04-30 14:20:00,428 - pyskl - INFO - Epoch [67][200/1027] lr: 1.479e-02, eta: 11:30:35, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.5856, top5_acc: 0.8394, loss_cls: 6.2072, loss: 6.2072 2025-04-30 14:20:47,620 - pyskl - INFO - Epoch [67][300/1027] lr: 1.477e-02, eta: 11:29:45, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5731, top5_acc: 0.8169, loss_cls: 6.3129, loss: 6.3129 2025-04-30 14:21:33,948 - pyskl - INFO - Epoch [67][400/1027] lr: 1.474e-02, eta: 11:28:55, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.5700, top5_acc: 0.8337, loss_cls: 6.2866, loss: 6.2866 2025-04-30 14:22:22,370 - pyskl - INFO - Epoch [67][500/1027] lr: 1.472e-02, eta: 11:28:07, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.5813, top5_acc: 0.8313, loss_cls: 6.2943, loss: 6.2943 2025-04-30 14:23:10,465 - pyskl - INFO - Epoch [67][600/1027] lr: 1.469e-02, eta: 11:27:19, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5625, top5_acc: 0.8244, loss_cls: 6.3977, loss: 6.3977 2025-04-30 14:23:58,283 - pyskl - INFO - Epoch [67][700/1027] lr: 1.467e-02, eta: 11:26:30, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8219, loss_cls: 6.2844, loss: 6.2844 2025-04-30 14:24:46,895 - pyskl - INFO - Epoch [67][800/1027] lr: 1.464e-02, eta: 11:25:43, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8187, loss_cls: 6.3478, loss: 6.3478 2025-04-30 14:25:34,485 - pyskl - INFO - Epoch [67][900/1027] lr: 1.462e-02, eta: 11:24:54, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5625, top5_acc: 0.8194, loss_cls: 6.3314, loss: 6.3314 2025-04-30 14:26:23,259 - pyskl - INFO - Epoch [67][1000/1027] lr: 1.459e-02, eta: 11:24:06, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.5487, top5_acc: 0.8325, loss_cls: 6.3895, loss: 6.3895 2025-04-30 14:26:37,690 - pyskl - INFO - Saving checkpoint at 67 epochs 2025-04-30 14:27:18,913 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 14:27:18,986 - pyskl - INFO - top1_acc 0.5327 top5_acc 0.8321 2025-04-30 14:27:18,986 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 14:27:18,995 - pyskl - INFO - mean_acc 0.5310 2025-04-30 14:27:19,058 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_61.pth was removed 2025-04-30 14:27:20,639 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_67.pth. 2025-04-30 14:27:20,640 - pyskl - INFO - Best top1_acc is 0.5327 at 67 epoch. 2025-04-30 14:27:20,643 - pyskl - INFO - Epoch(val) [67][413] top1_acc: 0.5327, top5_acc: 0.8321, mean_class_accuracy: 0.5310 2025-04-30 14:28:25,927 - pyskl - INFO - Epoch [68][100/1027] lr: 1.456e-02, eta: 11:23:10, time: 0.653, data_time: 0.261, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8556, loss_cls: 5.9347, loss: 5.9347 2025-04-30 14:29:12,169 - pyskl - INFO - Epoch [68][200/1027] lr: 1.453e-02, eta: 11:22:20, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.6162, top5_acc: 0.8544, loss_cls: 6.1200, loss: 6.1200 2025-04-30 14:30:00,634 - pyskl - INFO - Epoch [68][300/1027] lr: 1.451e-02, eta: 11:21:32, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.5550, top5_acc: 0.8306, loss_cls: 6.4017, loss: 6.4017 2025-04-30 14:30:49,728 - pyskl - INFO - Epoch [68][400/1027] lr: 1.448e-02, eta: 11:20:45, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.5887, top5_acc: 0.8344, loss_cls: 6.0818, loss: 6.0818 2025-04-30 14:31:38,579 - pyskl - INFO - Epoch [68][500/1027] lr: 1.446e-02, eta: 11:19:58, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8144, loss_cls: 6.4231, loss: 6.4231 2025-04-30 14:32:27,155 - pyskl - INFO - Epoch [68][600/1027] lr: 1.443e-02, eta: 11:19:10, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.5650, top5_acc: 0.8163, loss_cls: 6.4045, loss: 6.4045 2025-04-30 14:33:15,396 - pyskl - INFO - Epoch [68][700/1027] lr: 1.441e-02, eta: 11:18:22, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5781, top5_acc: 0.8369, loss_cls: 6.2725, loss: 6.2725 2025-04-30 14:34:04,031 - pyskl - INFO - Epoch [68][800/1027] lr: 1.438e-02, eta: 11:17:35, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.5575, top5_acc: 0.8363, loss_cls: 6.3040, loss: 6.3040 2025-04-30 14:34:53,005 - pyskl - INFO - Epoch [68][900/1027] lr: 1.436e-02, eta: 11:16:48, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.5575, top5_acc: 0.8063, loss_cls: 6.4348, loss: 6.4348 2025-04-30 14:35:42,521 - pyskl - INFO - Epoch [68][1000/1027] lr: 1.433e-02, eta: 11:16:01, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.5406, top5_acc: 0.8319, loss_cls: 6.4927, loss: 6.4927 2025-04-30 14:35:57,028 - pyskl - INFO - Saving checkpoint at 68 epochs 2025-04-30 14:36:39,624 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 14:36:39,705 - pyskl - INFO - top1_acc 0.5130 top5_acc 0.8201 2025-04-30 14:36:39,705 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 14:36:39,715 - pyskl - INFO - mean_acc 0.5122 2025-04-30 14:36:39,717 - pyskl - INFO - Epoch(val) [68][413] top1_acc: 0.5130, top5_acc: 0.8201, mean_class_accuracy: 0.5122 2025-04-30 14:37:45,624 - pyskl - INFO - Epoch [69][100/1027] lr: 1.430e-02, eta: 11:15:06, time: 0.659, data_time: 0.264, memory: 7959, top1_acc: 0.6031, top5_acc: 0.8456, loss_cls: 6.1524, loss: 6.1524 2025-04-30 14:38:31,982 - pyskl - INFO - Epoch [69][200/1027] lr: 1.428e-02, eta: 11:14:15, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8475, loss_cls: 6.0741, loss: 6.0741 2025-04-30 14:39:20,595 - pyskl - INFO - Epoch [69][300/1027] lr: 1.425e-02, eta: 11:13:28, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8450, loss_cls: 6.1279, loss: 6.1279 2025-04-30 14:40:10,740 - pyskl - INFO - Epoch [69][400/1027] lr: 1.423e-02, eta: 11:12:42, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.6112, top5_acc: 0.8425, loss_cls: 6.0440, loss: 6.0440 2025-04-30 14:41:01,382 - pyskl - INFO - Epoch [69][500/1027] lr: 1.420e-02, eta: 11:11:57, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.5525, top5_acc: 0.8163, loss_cls: 6.3936, loss: 6.3936 2025-04-30 14:41:52,637 - pyskl - INFO - Epoch [69][600/1027] lr: 1.417e-02, eta: 11:11:12, time: 0.513, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8237, loss_cls: 6.3694, loss: 6.3694 2025-04-30 14:42:41,773 - pyskl - INFO - Epoch [69][700/1027] lr: 1.415e-02, eta: 11:10:25, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.5800, top5_acc: 0.8300, loss_cls: 6.2237, loss: 6.2237 2025-04-30 14:43:31,026 - pyskl - INFO - Epoch [69][800/1027] lr: 1.412e-02, eta: 11:09:38, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.5550, top5_acc: 0.8300, loss_cls: 6.3692, loss: 6.3692 2025-04-30 14:44:19,289 - pyskl - INFO - Epoch [69][900/1027] lr: 1.410e-02, eta: 11:08:50, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.5694, top5_acc: 0.8313, loss_cls: 6.2518, loss: 6.2518 2025-04-30 14:45:07,501 - pyskl - INFO - Epoch [69][1000/1027] lr: 1.407e-02, eta: 11:08:02, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5381, top5_acc: 0.8237, loss_cls: 6.4075, loss: 6.4075 2025-04-30 14:45:21,942 - pyskl - INFO - Saving checkpoint at 69 epochs 2025-04-30 14:46:02,651 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 14:46:02,724 - pyskl - INFO - top1_acc 0.5270 top5_acc 0.8213 2025-04-30 14:46:02,725 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 14:46:02,733 - pyskl - INFO - mean_acc 0.5273 2025-04-30 14:46:02,734 - pyskl - INFO - Epoch(val) [69][413] top1_acc: 0.5270, top5_acc: 0.8213, mean_class_accuracy: 0.5273 2025-04-30 14:47:07,586 - pyskl - INFO - Epoch [70][100/1027] lr: 1.404e-02, eta: 11:07:05, time: 0.648, data_time: 0.265, memory: 7959, top1_acc: 0.6156, top5_acc: 0.8544, loss_cls: 6.0306, loss: 6.0306 2025-04-30 14:47:51,948 - pyskl - INFO - Epoch [70][200/1027] lr: 1.402e-02, eta: 11:06:13, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.6112, top5_acc: 0.8462, loss_cls: 6.0416, loss: 6.0416 2025-04-30 14:48:38,551 - pyskl - INFO - Epoch [70][300/1027] lr: 1.399e-02, eta: 11:05:23, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8469, loss_cls: 6.2028, loss: 6.2028 2025-04-30 14:49:26,608 - pyskl - INFO - Epoch [70][400/1027] lr: 1.397e-02, eta: 11:04:34, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5806, top5_acc: 0.8337, loss_cls: 6.1664, loss: 6.1664 2025-04-30 14:50:13,777 - pyskl - INFO - Epoch [70][500/1027] lr: 1.394e-02, eta: 11:03:45, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5944, top5_acc: 0.8294, loss_cls: 6.1363, loss: 6.1363 2025-04-30 14:51:01,667 - pyskl - INFO - Epoch [70][600/1027] lr: 1.392e-02, eta: 11:02:57, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.5819, top5_acc: 0.8450, loss_cls: 6.2210, loss: 6.2210 2025-04-30 14:51:49,517 - pyskl - INFO - Epoch [70][700/1027] lr: 1.389e-02, eta: 11:02:08, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.5587, top5_acc: 0.8363, loss_cls: 6.2814, loss: 6.2814 2025-04-30 14:52:36,594 - pyskl - INFO - Epoch [70][800/1027] lr: 1.386e-02, eta: 11:01:19, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.5731, top5_acc: 0.8200, loss_cls: 6.3685, loss: 6.3685 2025-04-30 14:53:23,952 - pyskl - INFO - Epoch [70][900/1027] lr: 1.384e-02, eta: 11:00:30, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5563, top5_acc: 0.8156, loss_cls: 6.2778, loss: 6.2778 2025-04-30 14:54:11,541 - pyskl - INFO - Epoch [70][1000/1027] lr: 1.381e-02, eta: 10:59:41, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5763, top5_acc: 0.8350, loss_cls: 6.2497, loss: 6.2497 2025-04-30 14:54:25,459 - pyskl - INFO - Saving checkpoint at 70 epochs 2025-04-30 14:55:05,027 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 14:55:05,106 - pyskl - INFO - top1_acc 0.5424 top5_acc 0.8324 2025-04-30 14:55:05,106 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 14:55:05,115 - pyskl - INFO - mean_acc 0.5432 2025-04-30 14:55:05,179 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_67.pth was removed 2025-04-30 14:55:06,806 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_70.pth. 2025-04-30 14:55:06,807 - pyskl - INFO - Best top1_acc is 0.5424 at 70 epoch. 2025-04-30 14:55:06,810 - pyskl - INFO - Epoch(val) [70][413] top1_acc: 0.5424, top5_acc: 0.8324, mean_class_accuracy: 0.5432 2025-04-30 14:56:11,500 - pyskl - INFO - Epoch [71][100/1027] lr: 1.378e-02, eta: 10:58:44, time: 0.647, data_time: 0.260, memory: 7959, top1_acc: 0.6338, top5_acc: 0.8681, loss_cls: 5.8295, loss: 5.8295 2025-04-30 14:56:56,338 - pyskl - INFO - Epoch [71][200/1027] lr: 1.376e-02, eta: 10:57:52, time: 0.448, data_time: 0.000, memory: 7959, top1_acc: 0.6088, top5_acc: 0.8456, loss_cls: 5.9493, loss: 5.9493 2025-04-30 14:57:43,136 - pyskl - INFO - Epoch [71][300/1027] lr: 1.373e-02, eta: 10:57:02, time: 0.468, data_time: 0.000, memory: 7959, top1_acc: 0.5981, top5_acc: 0.8506, loss_cls: 6.0039, loss: 6.0039 2025-04-30 14:58:30,167 - pyskl - INFO - Epoch [71][400/1027] lr: 1.371e-02, eta: 10:56:13, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.5869, top5_acc: 0.8406, loss_cls: 6.0602, loss: 6.0602 2025-04-30 14:59:17,887 - pyskl - INFO - Epoch [71][500/1027] lr: 1.368e-02, eta: 10:55:24, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5819, top5_acc: 0.8425, loss_cls: 6.1490, loss: 6.1490 2025-04-30 15:00:05,166 - pyskl - INFO - Epoch [71][600/1027] lr: 1.365e-02, eta: 10:54:35, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5769, top5_acc: 0.8244, loss_cls: 6.2945, loss: 6.2945 2025-04-30 15:00:53,135 - pyskl - INFO - Epoch [71][700/1027] lr: 1.363e-02, eta: 10:53:46, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5875, top5_acc: 0.8456, loss_cls: 6.1040, loss: 6.1040 2025-04-30 15:01:40,729 - pyskl - INFO - Epoch [71][800/1027] lr: 1.360e-02, eta: 10:52:58, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.5494, top5_acc: 0.8269, loss_cls: 6.2966, loss: 6.2966 2025-04-30 15:02:28,041 - pyskl - INFO - Epoch [71][900/1027] lr: 1.358e-02, eta: 10:52:09, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5856, top5_acc: 0.8325, loss_cls: 6.1446, loss: 6.1446 2025-04-30 15:03:16,033 - pyskl - INFO - Epoch [71][1000/1027] lr: 1.355e-02, eta: 10:51:20, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5463, top5_acc: 0.8194, loss_cls: 6.5033, loss: 6.5033 2025-04-30 15:03:29,560 - pyskl - INFO - Saving checkpoint at 71 epochs 2025-04-30 15:04:10,268 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 15:04:10,341 - pyskl - INFO - top1_acc 0.5184 top5_acc 0.8016 2025-04-30 15:04:10,341 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 15:04:10,349 - pyskl - INFO - mean_acc 0.5221 2025-04-30 15:04:10,351 - pyskl - INFO - Epoch(val) [71][413] top1_acc: 0.5184, top5_acc: 0.8016, mean_class_accuracy: 0.5221 2025-04-30 15:05:14,680 - pyskl - INFO - Epoch [72][100/1027] lr: 1.352e-02, eta: 10:50:23, time: 0.643, data_time: 0.256, memory: 7959, top1_acc: 0.6119, top5_acc: 0.8625, loss_cls: 6.0220, loss: 6.0220 2025-04-30 15:05:59,240 - pyskl - INFO - Epoch [72][200/1027] lr: 1.350e-02, eta: 10:49:30, time: 0.446, data_time: 0.000, memory: 7959, top1_acc: 0.6212, top5_acc: 0.8575, loss_cls: 6.0501, loss: 6.0501 2025-04-30 15:06:46,350 - pyskl - INFO - Epoch [72][300/1027] lr: 1.347e-02, eta: 10:48:41, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6038, top5_acc: 0.8456, loss_cls: 5.9765, loss: 5.9765 2025-04-30 15:07:33,063 - pyskl - INFO - Epoch [72][400/1027] lr: 1.344e-02, eta: 10:47:51, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.6131, top5_acc: 0.8525, loss_cls: 6.0852, loss: 6.0852 2025-04-30 15:08:20,431 - pyskl - INFO - Epoch [72][500/1027] lr: 1.342e-02, eta: 10:47:02, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8394, loss_cls: 6.1161, loss: 6.1161 2025-04-30 15:09:09,766 - pyskl - INFO - Epoch [72][600/1027] lr: 1.339e-02, eta: 10:46:16, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8200, loss_cls: 6.1573, loss: 6.1573 2025-04-30 15:09:57,876 - pyskl - INFO - Epoch [72][700/1027] lr: 1.337e-02, eta: 10:45:27, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5713, top5_acc: 0.8375, loss_cls: 6.3751, loss: 6.3751 2025-04-30 15:10:46,121 - pyskl - INFO - Epoch [72][800/1027] lr: 1.334e-02, eta: 10:44:39, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.5744, top5_acc: 0.8350, loss_cls: 6.1564, loss: 6.1564 2025-04-30 15:11:33,500 - pyskl - INFO - Epoch [72][900/1027] lr: 1.332e-02, eta: 10:43:50, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.5725, top5_acc: 0.8369, loss_cls: 6.2474, loss: 6.2474 2025-04-30 15:12:22,342 - pyskl - INFO - Epoch [72][1000/1027] lr: 1.329e-02, eta: 10:43:03, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8519, loss_cls: 6.1923, loss: 6.1923 2025-04-30 15:12:35,845 - pyskl - INFO - Saving checkpoint at 72 epochs 2025-04-30 15:13:16,162 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 15:13:16,235 - pyskl - INFO - top1_acc 0.5214 top5_acc 0.8150 2025-04-30 15:13:16,236 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 15:13:16,243 - pyskl - INFO - mean_acc 0.5245 2025-04-30 15:13:16,245 - pyskl - INFO - Epoch(val) [72][413] top1_acc: 0.5214, top5_acc: 0.8150, mean_class_accuracy: 0.5245 2025-04-30 15:14:21,534 - pyskl - INFO - Epoch [73][100/1027] lr: 1.326e-02, eta: 10:42:06, time: 0.653, data_time: 0.254, memory: 7959, top1_acc: 0.6194, top5_acc: 0.8606, loss_cls: 5.9180, loss: 5.9180 2025-04-30 15:15:05,003 - pyskl - INFO - Epoch [73][200/1027] lr: 1.323e-02, eta: 10:41:13, time: 0.435, data_time: 0.000, memory: 7959, top1_acc: 0.6344, top5_acc: 0.8662, loss_cls: 5.9371, loss: 5.9371 2025-04-30 15:15:51,207 - pyskl - INFO - Epoch [73][300/1027] lr: 1.321e-02, eta: 10:40:23, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.5988, top5_acc: 0.8556, loss_cls: 6.0872, loss: 6.0872 2025-04-30 15:16:38,490 - pyskl - INFO - Epoch [73][400/1027] lr: 1.318e-02, eta: 10:39:34, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6150, top5_acc: 0.8444, loss_cls: 5.9671, loss: 5.9671 2025-04-30 15:17:26,121 - pyskl - INFO - Epoch [73][500/1027] lr: 1.316e-02, eta: 10:38:45, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.6094, top5_acc: 0.8363, loss_cls: 5.9857, loss: 5.9857 2025-04-30 15:18:14,982 - pyskl - INFO - Epoch [73][600/1027] lr: 1.313e-02, eta: 10:37:58, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.5837, top5_acc: 0.8413, loss_cls: 6.1697, loss: 6.1697 2025-04-30 15:19:03,176 - pyskl - INFO - Epoch [73][700/1027] lr: 1.311e-02, eta: 10:37:10, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6000, top5_acc: 0.8562, loss_cls: 6.0470, loss: 6.0470 2025-04-30 15:19:51,275 - pyskl - INFO - Epoch [73][800/1027] lr: 1.308e-02, eta: 10:36:21, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5794, top5_acc: 0.8387, loss_cls: 6.1678, loss: 6.1678 2025-04-30 15:20:39,785 - pyskl - INFO - Epoch [73][900/1027] lr: 1.306e-02, eta: 10:35:34, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.5700, top5_acc: 0.8337, loss_cls: 6.2490, loss: 6.2490 2025-04-30 15:21:27,066 - pyskl - INFO - Epoch [73][1000/1027] lr: 1.303e-02, eta: 10:34:45, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.5831, top5_acc: 0.8500, loss_cls: 6.0569, loss: 6.0569 2025-04-30 15:21:40,784 - pyskl - INFO - Saving checkpoint at 73 epochs 2025-04-30 15:22:20,857 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 15:22:20,928 - pyskl - INFO - top1_acc 0.5302 top5_acc 0.8316 2025-04-30 15:22:20,928 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 15:22:20,936 - pyskl - INFO - mean_acc 0.5332 2025-04-30 15:22:20,938 - pyskl - INFO - Epoch(val) [73][413] top1_acc: 0.5302, top5_acc: 0.8316, mean_class_accuracy: 0.5332 2025-04-30 15:23:25,216 - pyskl - INFO - Epoch [74][100/1027] lr: 1.300e-02, eta: 10:33:47, time: 0.643, data_time: 0.257, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8588, loss_cls: 5.9267, loss: 5.9267 2025-04-30 15:24:09,952 - pyskl - INFO - Epoch [74][200/1027] lr: 1.297e-02, eta: 10:32:55, time: 0.447, data_time: 0.000, memory: 7959, top1_acc: 0.6325, top5_acc: 0.8688, loss_cls: 5.8122, loss: 5.8122 2025-04-30 15:24:56,507 - pyskl - INFO - Epoch [74][300/1027] lr: 1.295e-02, eta: 10:32:05, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.5887, top5_acc: 0.8438, loss_cls: 6.0782, loss: 6.0782 2025-04-30 15:25:45,256 - pyskl - INFO - Epoch [74][400/1027] lr: 1.292e-02, eta: 10:31:18, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.6150, top5_acc: 0.8444, loss_cls: 6.0800, loss: 6.0800 2025-04-30 15:26:35,012 - pyskl - INFO - Epoch [74][500/1027] lr: 1.290e-02, eta: 10:30:31, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8488, loss_cls: 6.0258, loss: 6.0258 2025-04-30 15:27:26,338 - pyskl - INFO - Epoch [74][600/1027] lr: 1.287e-02, eta: 10:29:46, time: 0.513, data_time: 0.000, memory: 7959, top1_acc: 0.5938, top5_acc: 0.8281, loss_cls: 6.1625, loss: 6.1625 2025-04-30 15:28:16,486 - pyskl - INFO - Epoch [74][700/1027] lr: 1.285e-02, eta: 10:29:00, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.5925, top5_acc: 0.8356, loss_cls: 6.1500, loss: 6.1500 2025-04-30 15:29:06,504 - pyskl - INFO - Epoch [74][800/1027] lr: 1.282e-02, eta: 10:28:14, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.5825, top5_acc: 0.8431, loss_cls: 6.1744, loss: 6.1744 2025-04-30 15:29:56,106 - pyskl - INFO - Epoch [74][900/1027] lr: 1.279e-02, eta: 10:27:27, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.5994, top5_acc: 0.8363, loss_cls: 6.2482, loss: 6.2482 2025-04-30 15:30:44,697 - pyskl - INFO - Epoch [74][1000/1027] lr: 1.277e-02, eta: 10:26:40, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.5775, top5_acc: 0.8331, loss_cls: 6.3336, loss: 6.3336 2025-04-30 15:30:58,140 - pyskl - INFO - Saving checkpoint at 74 epochs 2025-04-30 15:31:38,265 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 15:31:38,339 - pyskl - INFO - top1_acc 0.5460 top5_acc 0.8403 2025-04-30 15:31:38,340 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 15:31:38,348 - pyskl - INFO - mean_acc 0.5435 2025-04-30 15:31:38,416 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_70.pth was removed 2025-04-30 15:31:40,038 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_74.pth. 2025-04-30 15:31:40,039 - pyskl - INFO - Best top1_acc is 0.5460 at 74 epoch. 2025-04-30 15:31:40,043 - pyskl - INFO - Epoch(val) [74][413] top1_acc: 0.5460, top5_acc: 0.8403, mean_class_accuracy: 0.5435 2025-04-30 15:32:43,741 - pyskl - INFO - Epoch [75][100/1027] lr: 1.274e-02, eta: 10:25:41, time: 0.637, data_time: 0.252, memory: 7959, top1_acc: 0.6269, top5_acc: 0.8675, loss_cls: 5.8153, loss: 5.8153 2025-04-30 15:33:28,343 - pyskl - INFO - Epoch [75][200/1027] lr: 1.271e-02, eta: 10:24:49, time: 0.446, data_time: 0.000, memory: 7959, top1_acc: 0.6125, top5_acc: 0.8744, loss_cls: 5.9321, loss: 5.9321 2025-04-30 15:34:17,120 - pyskl - INFO - Epoch [75][300/1027] lr: 1.269e-02, eta: 10:24:02, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.6462, top5_acc: 0.8600, loss_cls: 5.8851, loss: 5.8851 2025-04-30 15:35:07,493 - pyskl - INFO - Epoch [75][400/1027] lr: 1.266e-02, eta: 10:23:16, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.6088, top5_acc: 0.8656, loss_cls: 5.9281, loss: 5.9281 2025-04-30 15:35:58,677 - pyskl - INFO - Epoch [75][500/1027] lr: 1.263e-02, eta: 10:22:31, time: 0.512, data_time: 0.000, memory: 7959, top1_acc: 0.5981, top5_acc: 0.8425, loss_cls: 6.1122, loss: 6.1122 2025-04-30 15:36:50,934 - pyskl - INFO - Epoch [75][600/1027] lr: 1.261e-02, eta: 10:21:47, time: 0.523, data_time: 0.000, memory: 7959, top1_acc: 0.6056, top5_acc: 0.8450, loss_cls: 6.0123, loss: 6.0123 2025-04-30 15:37:43,748 - pyskl - INFO - Epoch [75][700/1027] lr: 1.258e-02, eta: 10:21:03, time: 0.528, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8606, loss_cls: 6.0750, loss: 6.0750 2025-04-30 15:38:34,740 - pyskl - INFO - Epoch [75][800/1027] lr: 1.256e-02, eta: 10:20:18, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.5944, top5_acc: 0.8650, loss_cls: 6.0683, loss: 6.0683 2025-04-30 15:39:25,866 - pyskl - INFO - Epoch [75][900/1027] lr: 1.253e-02, eta: 10:19:33, time: 0.511, data_time: 0.000, memory: 7959, top1_acc: 0.6019, top5_acc: 0.8381, loss_cls: 6.1846, loss: 6.1846 2025-04-30 15:40:15,720 - pyskl - INFO - Epoch [75][1000/1027] lr: 1.251e-02, eta: 10:18:46, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.5819, top5_acc: 0.8394, loss_cls: 6.1572, loss: 6.1572 2025-04-30 15:40:30,355 - pyskl - INFO - Saving checkpoint at 75 epochs 2025-04-30 15:41:11,356 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 15:41:11,444 - pyskl - INFO - top1_acc 0.5422 top5_acc 0.8374 2025-04-30 15:41:11,444 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 15:41:11,452 - pyskl - INFO - mean_acc 0.5443 2025-04-30 15:41:11,453 - pyskl - INFO - Epoch(val) [75][413] top1_acc: 0.5422, top5_acc: 0.8374, mean_class_accuracy: 0.5443 2025-04-30 15:42:16,366 - pyskl - INFO - Epoch [76][100/1027] lr: 1.247e-02, eta: 10:17:49, time: 0.649, data_time: 0.260, memory: 7959, top1_acc: 0.6419, top5_acc: 0.8719, loss_cls: 5.8513, loss: 5.8513 2025-04-30 15:42:59,864 - pyskl - INFO - Epoch [76][200/1027] lr: 1.245e-02, eta: 10:16:56, time: 0.435, data_time: 0.000, memory: 7959, top1_acc: 0.6294, top5_acc: 0.8669, loss_cls: 5.8355, loss: 5.8355 2025-04-30 15:43:46,212 - pyskl - INFO - Epoch [76][300/1027] lr: 1.242e-02, eta: 10:16:06, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.6194, top5_acc: 0.8456, loss_cls: 5.8908, loss: 5.8908 2025-04-30 15:44:33,819 - pyskl - INFO - Epoch [76][400/1027] lr: 1.240e-02, eta: 10:15:17, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.6050, top5_acc: 0.8581, loss_cls: 6.0610, loss: 6.0610 2025-04-30 15:45:21,746 - pyskl - INFO - Epoch [76][500/1027] lr: 1.237e-02, eta: 10:14:29, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6375, top5_acc: 0.8706, loss_cls: 5.9098, loss: 5.9098 2025-04-30 15:46:09,803 - pyskl - INFO - Epoch [76][600/1027] lr: 1.235e-02, eta: 10:13:40, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.6056, top5_acc: 0.8544, loss_cls: 5.9972, loss: 5.9972 2025-04-30 15:46:56,968 - pyskl - INFO - Epoch [76][700/1027] lr: 1.232e-02, eta: 10:12:51, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.5931, top5_acc: 0.8444, loss_cls: 6.1161, loss: 6.1161 2025-04-30 15:47:44,983 - pyskl - INFO - Epoch [76][800/1027] lr: 1.230e-02, eta: 10:12:03, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.6131, top5_acc: 0.8462, loss_cls: 5.9824, loss: 5.9824 2025-04-30 15:48:32,494 - pyskl - INFO - Epoch [76][900/1027] lr: 1.227e-02, eta: 10:11:14, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.6025, top5_acc: 0.8575, loss_cls: 6.0148, loss: 6.0148 2025-04-30 15:49:19,965 - pyskl - INFO - Epoch [76][1000/1027] lr: 1.225e-02, eta: 10:10:25, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.5737, top5_acc: 0.8419, loss_cls: 6.0982, loss: 6.0982 2025-04-30 15:49:33,611 - pyskl - INFO - Saving checkpoint at 76 epochs 2025-04-30 15:50:13,586 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 15:50:13,663 - pyskl - INFO - top1_acc 0.5357 top5_acc 0.8282 2025-04-30 15:50:13,664 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 15:50:13,671 - pyskl - INFO - mean_acc 0.5370 2025-04-30 15:50:13,673 - pyskl - INFO - Epoch(val) [76][413] top1_acc: 0.5357, top5_acc: 0.8282, mean_class_accuracy: 0.5370 2025-04-30 15:51:18,419 - pyskl - INFO - Epoch [77][100/1027] lr: 1.221e-02, eta: 10:09:27, time: 0.647, data_time: 0.261, memory: 7959, top1_acc: 0.6556, top5_acc: 0.8825, loss_cls: 5.7861, loss: 5.7861 2025-04-30 15:52:03,116 - pyskl - INFO - Epoch [77][200/1027] lr: 1.219e-02, eta: 10:08:36, time: 0.447, data_time: 0.000, memory: 7959, top1_acc: 0.6412, top5_acc: 0.8819, loss_cls: 5.7143, loss: 5.7143 2025-04-30 15:52:49,395 - pyskl - INFO - Epoch [77][300/1027] lr: 1.216e-02, eta: 10:07:46, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.6538, top5_acc: 0.8731, loss_cls: 5.6846, loss: 5.6846 2025-04-30 15:53:37,595 - pyskl - INFO - Epoch [77][400/1027] lr: 1.214e-02, eta: 10:06:58, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6206, top5_acc: 0.8662, loss_cls: 5.7874, loss: 5.7874 2025-04-30 15:54:25,718 - pyskl - INFO - Epoch [77][500/1027] lr: 1.211e-02, eta: 10:06:09, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.6300, top5_acc: 0.8719, loss_cls: 5.9077, loss: 5.9077 2025-04-30 15:55:14,153 - pyskl - INFO - Epoch [77][600/1027] lr: 1.209e-02, eta: 10:05:22, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.6100, top5_acc: 0.8550, loss_cls: 6.1471, loss: 6.1471 2025-04-30 15:56:01,351 - pyskl - INFO - Epoch [77][700/1027] lr: 1.206e-02, eta: 10:04:32, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6062, top5_acc: 0.8619, loss_cls: 6.0515, loss: 6.0515 2025-04-30 15:56:49,385 - pyskl - INFO - Epoch [77][800/1027] lr: 1.203e-02, eta: 10:03:44, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5894, top5_acc: 0.8269, loss_cls: 6.1872, loss: 6.1872 2025-04-30 15:57:36,606 - pyskl - INFO - Epoch [77][900/1027] lr: 1.201e-02, eta: 10:02:55, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6088, top5_acc: 0.8506, loss_cls: 5.9575, loss: 5.9575 2025-04-30 15:58:24,696 - pyskl - INFO - Epoch [77][1000/1027] lr: 1.198e-02, eta: 10:02:07, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.5962, top5_acc: 0.8525, loss_cls: 5.9862, loss: 5.9862 2025-04-30 15:58:38,495 - pyskl - INFO - Saving checkpoint at 77 epochs 2025-04-30 15:59:18,321 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 15:59:18,393 - pyskl - INFO - top1_acc 0.5514 top5_acc 0.8391 2025-04-30 15:59:18,393 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 15:59:18,400 - pyskl - INFO - mean_acc 0.5566 2025-04-30 15:59:18,466 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_74.pth was removed 2025-04-30 15:59:20,057 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. 2025-04-30 15:59:20,059 - pyskl - INFO - Best top1_acc is 0.5514 at 77 epoch. 2025-04-30 15:59:20,061 - pyskl - INFO - Epoch(val) [77][413] top1_acc: 0.5514, top5_acc: 0.8391, mean_class_accuracy: 0.5566 2025-04-30 16:00:23,923 - pyskl - INFO - Epoch [78][100/1027] lr: 1.195e-02, eta: 10:01:08, time: 0.639, data_time: 0.253, memory: 7959, top1_acc: 0.6687, top5_acc: 0.8894, loss_cls: 5.7289, loss: 5.7289 2025-04-30 16:01:07,956 - pyskl - INFO - Epoch [78][200/1027] lr: 1.193e-02, eta: 10:00:16, time: 0.440, data_time: 0.000, memory: 7959, top1_acc: 0.6481, top5_acc: 0.8769, loss_cls: 5.6485, loss: 5.6485 2025-04-30 16:01:55,648 - pyskl - INFO - Epoch [78][300/1027] lr: 1.190e-02, eta: 9:59:27, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6362, top5_acc: 0.8756, loss_cls: 5.7875, loss: 5.7875 2025-04-30 16:02:42,791 - pyskl - INFO - Epoch [78][400/1027] lr: 1.187e-02, eta: 9:58:38, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8562, loss_cls: 5.9379, loss: 5.9379 2025-04-30 16:03:30,038 - pyskl - INFO - Epoch [78][500/1027] lr: 1.185e-02, eta: 9:57:49, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6300, top5_acc: 0.8800, loss_cls: 5.7609, loss: 5.7609 2025-04-30 16:04:18,006 - pyskl - INFO - Epoch [78][600/1027] lr: 1.182e-02, eta: 9:57:01, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.6100, top5_acc: 0.8562, loss_cls: 5.9314, loss: 5.9314 2025-04-30 16:05:05,004 - pyskl - INFO - Epoch [78][700/1027] lr: 1.180e-02, eta: 9:56:12, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6200, top5_acc: 0.8475, loss_cls: 5.9828, loss: 5.9828 2025-04-30 16:05:53,407 - pyskl - INFO - Epoch [78][800/1027] lr: 1.177e-02, eta: 9:55:24, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.6106, top5_acc: 0.8481, loss_cls: 6.0254, loss: 6.0254 2025-04-30 16:06:41,129 - pyskl - INFO - Epoch [78][900/1027] lr: 1.175e-02, eta: 9:54:35, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.5950, top5_acc: 0.8431, loss_cls: 6.0973, loss: 6.0973 2025-04-30 16:07:29,982 - pyskl - INFO - Epoch [78][1000/1027] lr: 1.172e-02, eta: 9:53:48, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.5813, top5_acc: 0.8544, loss_cls: 6.1395, loss: 6.1395 2025-04-30 16:07:44,004 - pyskl - INFO - Saving checkpoint at 78 epochs 2025-04-30 16:08:23,854 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 16:08:23,926 - pyskl - INFO - top1_acc 0.5411 top5_acc 0.8368 2025-04-30 16:08:23,927 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 16:08:23,934 - pyskl - INFO - mean_acc 0.5452 2025-04-30 16:08:23,935 - pyskl - INFO - Epoch(val) [78][413] top1_acc: 0.5411, top5_acc: 0.8368, mean_class_accuracy: 0.5452 2025-04-30 16:09:28,608 - pyskl - INFO - Epoch [79][100/1027] lr: 1.169e-02, eta: 9:52:50, time: 0.647, data_time: 0.258, memory: 7959, top1_acc: 0.6644, top5_acc: 0.8819, loss_cls: 5.6478, loss: 5.6478 2025-04-30 16:10:12,928 - pyskl - INFO - Epoch [79][200/1027] lr: 1.166e-02, eta: 9:51:58, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.6425, top5_acc: 0.8756, loss_cls: 5.7630, loss: 5.7630 2025-04-30 16:10:59,258 - pyskl - INFO - Epoch [79][300/1027] lr: 1.164e-02, eta: 9:51:08, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.6494, top5_acc: 0.8812, loss_cls: 5.7709, loss: 5.7709 2025-04-30 16:11:45,682 - pyskl - INFO - Epoch [79][400/1027] lr: 1.161e-02, eta: 9:50:18, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.6381, top5_acc: 0.8838, loss_cls: 5.7103, loss: 5.7103 2025-04-30 16:12:33,227 - pyskl - INFO - Epoch [79][500/1027] lr: 1.159e-02, eta: 9:49:30, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.6388, top5_acc: 0.8800, loss_cls: 5.8278, loss: 5.8278 2025-04-30 16:13:21,264 - pyskl - INFO - Epoch [79][600/1027] lr: 1.156e-02, eta: 9:48:41, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.5887, top5_acc: 0.8494, loss_cls: 6.0583, loss: 6.0583 2025-04-30 16:14:09,178 - pyskl - INFO - Epoch [79][700/1027] lr: 1.154e-02, eta: 9:47:53, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6100, top5_acc: 0.8350, loss_cls: 6.0298, loss: 6.0298 2025-04-30 16:14:57,338 - pyskl - INFO - Epoch [79][800/1027] lr: 1.151e-02, eta: 9:47:05, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8806, loss_cls: 5.7411, loss: 5.7411 2025-04-30 16:15:46,340 - pyskl - INFO - Epoch [79][900/1027] lr: 1.149e-02, eta: 9:46:17, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.6219, top5_acc: 0.8569, loss_cls: 5.9540, loss: 5.9540 2025-04-30 16:16:34,561 - pyskl - INFO - Epoch [79][1000/1027] lr: 1.146e-02, eta: 9:45:29, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8675, loss_cls: 5.8897, loss: 5.8897 2025-04-30 16:16:48,199 - pyskl - INFO - Saving checkpoint at 79 epochs 2025-04-30 16:17:28,414 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 16:17:28,487 - pyskl - INFO - top1_acc 0.5480 top5_acc 0.8344 2025-04-30 16:17:28,487 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 16:17:28,495 - pyskl - INFO - mean_acc 0.5501 2025-04-30 16:17:28,496 - pyskl - INFO - Epoch(val) [79][413] top1_acc: 0.5480, top5_acc: 0.8344, mean_class_accuracy: 0.5501 2025-04-30 16:18:33,446 - pyskl - INFO - Epoch [80][100/1027] lr: 1.143e-02, eta: 9:44:32, time: 0.649, data_time: 0.259, memory: 7959, top1_acc: 0.6837, top5_acc: 0.8938, loss_cls: 5.6156, loss: 5.6156 2025-04-30 16:19:18,054 - pyskl - INFO - Epoch [80][200/1027] lr: 1.140e-02, eta: 9:43:40, time: 0.446, data_time: 0.000, memory: 7959, top1_acc: 0.6488, top5_acc: 0.8744, loss_cls: 5.7294, loss: 5.7294 2025-04-30 16:20:04,294 - pyskl - INFO - Epoch [80][300/1027] lr: 1.138e-02, eta: 9:42:50, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.6613, top5_acc: 0.8775, loss_cls: 5.6548, loss: 5.6548 2025-04-30 16:20:51,481 - pyskl - INFO - Epoch [80][400/1027] lr: 1.135e-02, eta: 9:42:01, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6575, top5_acc: 0.8812, loss_cls: 5.6363, loss: 5.6363 2025-04-30 16:21:39,713 - pyskl - INFO - Epoch [80][500/1027] lr: 1.133e-02, eta: 9:41:13, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8769, loss_cls: 5.7045, loss: 5.7045 2025-04-30 16:22:27,440 - pyskl - INFO - Epoch [80][600/1027] lr: 1.130e-02, eta: 9:40:25, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6350, top5_acc: 0.8650, loss_cls: 5.9668, loss: 5.9668 2025-04-30 16:23:15,094 - pyskl - INFO - Epoch [80][700/1027] lr: 1.128e-02, eta: 9:39:36, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6288, top5_acc: 0.8794, loss_cls: 5.7000, loss: 5.7000 2025-04-30 16:24:02,811 - pyskl - INFO - Epoch [80][800/1027] lr: 1.125e-02, eta: 9:38:48, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6281, top5_acc: 0.8762, loss_cls: 5.9133, loss: 5.9133 2025-04-30 16:24:52,598 - pyskl - INFO - Epoch [80][900/1027] lr: 1.123e-02, eta: 9:38:01, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.6144, top5_acc: 0.8475, loss_cls: 6.0752, loss: 6.0752 2025-04-30 16:25:42,340 - pyskl - INFO - Epoch [80][1000/1027] lr: 1.120e-02, eta: 9:37:14, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.6038, top5_acc: 0.8562, loss_cls: 5.8680, loss: 5.8680 2025-04-30 16:25:56,096 - pyskl - INFO - Saving checkpoint at 80 epochs 2025-04-30 16:26:37,730 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 16:26:37,804 - pyskl - INFO - top1_acc 0.5443 top5_acc 0.8371 2025-04-30 16:26:37,804 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 16:26:37,812 - pyskl - INFO - mean_acc 0.5474 2025-04-30 16:26:37,814 - pyskl - INFO - Epoch(val) [80][413] top1_acc: 0.5443, top5_acc: 0.8371, mean_class_accuracy: 0.5474 2025-04-30 16:27:44,356 - pyskl - INFO - Epoch [81][100/1027] lr: 1.117e-02, eta: 9:36:18, time: 0.665, data_time: 0.268, memory: 7959, top1_acc: 0.6850, top5_acc: 0.8862, loss_cls: 5.5249, loss: 5.5249 2025-04-30 16:28:31,256 - pyskl - INFO - Epoch [81][200/1027] lr: 1.114e-02, eta: 9:35:28, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.6713, top5_acc: 0.8938, loss_cls: 5.5475, loss: 5.5475 2025-04-30 16:29:19,503 - pyskl - INFO - Epoch [81][300/1027] lr: 1.112e-02, eta: 9:34:40, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6694, top5_acc: 0.8825, loss_cls: 5.6787, loss: 5.6787 2025-04-30 16:30:07,520 - pyskl - INFO - Epoch [81][400/1027] lr: 1.109e-02, eta: 9:33:52, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.6400, top5_acc: 0.8769, loss_cls: 5.7623, loss: 5.7623 2025-04-30 16:30:55,902 - pyskl - INFO - Epoch [81][500/1027] lr: 1.107e-02, eta: 9:33:04, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.6388, top5_acc: 0.8650, loss_cls: 5.7735, loss: 5.7735 2025-04-30 16:31:43,988 - pyskl - INFO - Epoch [81][600/1027] lr: 1.104e-02, eta: 9:32:16, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.6288, top5_acc: 0.8644, loss_cls: 5.6983, loss: 5.6983 2025-04-30 16:32:32,516 - pyskl - INFO - Epoch [81][700/1027] lr: 1.102e-02, eta: 9:31:28, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.6456, top5_acc: 0.8719, loss_cls: 5.8297, loss: 5.8297 2025-04-30 16:33:23,518 - pyskl - INFO - Epoch [81][800/1027] lr: 1.099e-02, eta: 9:30:42, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.6150, top5_acc: 0.8662, loss_cls: 5.9952, loss: 5.9952 2025-04-30 16:34:15,721 - pyskl - INFO - Epoch [81][900/1027] lr: 1.097e-02, eta: 9:29:57, time: 0.522, data_time: 0.000, memory: 7959, top1_acc: 0.6362, top5_acc: 0.8725, loss_cls: 5.8006, loss: 5.8006 2025-04-30 16:35:07,714 - pyskl - INFO - Epoch [81][1000/1027] lr: 1.094e-02, eta: 9:29:13, time: 0.520, data_time: 0.000, memory: 7959, top1_acc: 0.6219, top5_acc: 0.8669, loss_cls: 5.9130, loss: 5.9130 2025-04-30 16:35:22,299 - pyskl - INFO - Saving checkpoint at 81 epochs 2025-04-30 16:36:05,745 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 16:36:05,818 - pyskl - INFO - top1_acc 0.5314 top5_acc 0.8260 2025-04-30 16:36:05,819 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 16:36:05,826 - pyskl - INFO - mean_acc 0.5328 2025-04-30 16:36:05,827 - pyskl - INFO - Epoch(val) [81][413] top1_acc: 0.5314, top5_acc: 0.8260, mean_class_accuracy: 0.5328 2025-04-30 16:37:12,555 - pyskl - INFO - Epoch [82][100/1027] lr: 1.091e-02, eta: 9:28:16, time: 0.667, data_time: 0.256, memory: 7959, top1_acc: 0.6863, top5_acc: 0.8906, loss_cls: 5.5340, loss: 5.5340 2025-04-30 16:37:59,848 - pyskl - INFO - Epoch [82][200/1027] lr: 1.088e-02, eta: 9:27:27, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6613, top5_acc: 0.8762, loss_cls: 5.5935, loss: 5.5935 2025-04-30 16:38:48,491 - pyskl - INFO - Epoch [82][300/1027] lr: 1.086e-02, eta: 9:26:39, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.6631, top5_acc: 0.8825, loss_cls: 5.6885, loss: 5.6885 2025-04-30 16:39:38,939 - pyskl - INFO - Epoch [82][400/1027] lr: 1.083e-02, eta: 9:25:53, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.6538, top5_acc: 0.8756, loss_cls: 5.7742, loss: 5.7742 2025-04-30 16:40:28,228 - pyskl - INFO - Epoch [82][500/1027] lr: 1.081e-02, eta: 9:25:06, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.6450, top5_acc: 0.8788, loss_cls: 5.6717, loss: 5.6717 2025-04-30 16:41:16,512 - pyskl - INFO - Epoch [82][600/1027] lr: 1.078e-02, eta: 9:24:18, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.6375, top5_acc: 0.8675, loss_cls: 5.8173, loss: 5.8173 2025-04-30 16:42:05,344 - pyskl - INFO - Epoch [82][700/1027] lr: 1.076e-02, eta: 9:23:30, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.6338, top5_acc: 0.8694, loss_cls: 5.8572, loss: 5.8572 2025-04-30 16:42:52,878 - pyskl - INFO - Epoch [82][800/1027] lr: 1.073e-02, eta: 9:22:41, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.6331, top5_acc: 0.8694, loss_cls: 5.8872, loss: 5.8872 2025-04-30 16:43:41,100 - pyskl - INFO - Epoch [82][900/1027] lr: 1.071e-02, eta: 9:21:53, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6319, top5_acc: 0.8700, loss_cls: 5.7172, loss: 5.7172 2025-04-30 16:44:28,015 - pyskl - INFO - Epoch [82][1000/1027] lr: 1.068e-02, eta: 9:21:04, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.6462, top5_acc: 0.8719, loss_cls: 5.7549, loss: 5.7549 2025-04-30 16:44:41,528 - pyskl - INFO - Saving checkpoint at 82 epochs 2025-04-30 16:45:22,219 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 16:45:22,291 - pyskl - INFO - top1_acc 0.5243 top5_acc 0.8292 2025-04-30 16:45:22,292 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 16:45:22,300 - pyskl - INFO - mean_acc 0.5271 2025-04-30 16:45:22,301 - pyskl - INFO - Epoch(val) [82][413] top1_acc: 0.5243, top5_acc: 0.8292, mean_class_accuracy: 0.5271 2025-04-30 16:46:27,362 - pyskl - INFO - Epoch [83][100/1027] lr: 1.065e-02, eta: 9:20:06, time: 0.651, data_time: 0.263, memory: 7959, top1_acc: 0.7225, top5_acc: 0.8962, loss_cls: 5.4724, loss: 5.4724 2025-04-30 16:47:12,246 - pyskl - INFO - Epoch [83][200/1027] lr: 1.062e-02, eta: 9:19:15, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.6894, top5_acc: 0.8988, loss_cls: 5.5421, loss: 5.5421 2025-04-30 16:47:58,855 - pyskl - INFO - Epoch [83][300/1027] lr: 1.060e-02, eta: 9:18:25, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8950, loss_cls: 5.6168, loss: 5.6168 2025-04-30 16:48:46,151 - pyskl - INFO - Epoch [83][400/1027] lr: 1.057e-02, eta: 9:17:37, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.6600, top5_acc: 0.8794, loss_cls: 5.7671, loss: 5.7671 2025-04-30 16:49:35,058 - pyskl - INFO - Epoch [83][500/1027] lr: 1.055e-02, eta: 9:16:49, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.6650, top5_acc: 0.8912, loss_cls: 5.6253, loss: 5.6253 2025-04-30 16:50:23,267 - pyskl - INFO - Epoch [83][600/1027] lr: 1.052e-02, eta: 9:16:01, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6431, top5_acc: 0.8638, loss_cls: 5.7364, loss: 5.7364 2025-04-30 16:51:11,879 - pyskl - INFO - Epoch [83][700/1027] lr: 1.050e-02, eta: 9:15:13, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.6475, top5_acc: 0.8844, loss_cls: 5.6962, loss: 5.6962 2025-04-30 16:51:59,719 - pyskl - INFO - Epoch [83][800/1027] lr: 1.047e-02, eta: 9:14:24, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.6388, top5_acc: 0.8781, loss_cls: 5.8467, loss: 5.8467 2025-04-30 16:52:47,820 - pyskl - INFO - Epoch [83][900/1027] lr: 1.045e-02, eta: 9:13:36, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.6312, top5_acc: 0.8738, loss_cls: 5.8175, loss: 5.8175 2025-04-30 16:53:35,704 - pyskl - INFO - Epoch [83][1000/1027] lr: 1.042e-02, eta: 9:12:48, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6575, top5_acc: 0.8825, loss_cls: 5.7569, loss: 5.7569 2025-04-30 16:53:49,647 - pyskl - INFO - Saving checkpoint at 83 epochs 2025-04-30 16:54:29,204 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 16:54:29,278 - pyskl - INFO - top1_acc 0.5478 top5_acc 0.8385 2025-04-30 16:54:29,279 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 16:54:29,286 - pyskl - INFO - mean_acc 0.5457 2025-04-30 16:54:29,288 - pyskl - INFO - Epoch(val) [83][413] top1_acc: 0.5478, top5_acc: 0.8385, mean_class_accuracy: 0.5457 2025-04-30 16:55:33,869 - pyskl - INFO - Epoch [84][100/1027] lr: 1.039e-02, eta: 9:11:49, time: 0.646, data_time: 0.260, memory: 7959, top1_acc: 0.6981, top5_acc: 0.9050, loss_cls: 5.3936, loss: 5.3936 2025-04-30 16:56:18,168 - pyskl - INFO - Epoch [84][200/1027] lr: 1.037e-02, eta: 9:10:58, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.6987, top5_acc: 0.9044, loss_cls: 5.4765, loss: 5.4765 2025-04-30 16:57:05,303 - pyskl - INFO - Epoch [84][300/1027] lr: 1.034e-02, eta: 9:10:09, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.6813, top5_acc: 0.8938, loss_cls: 5.6975, loss: 5.6975 2025-04-30 16:57:53,155 - pyskl - INFO - Epoch [84][400/1027] lr: 1.032e-02, eta: 9:09:21, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6756, top5_acc: 0.8831, loss_cls: 5.5822, loss: 5.5822 2025-04-30 16:58:40,158 - pyskl - INFO - Epoch [84][500/1027] lr: 1.029e-02, eta: 9:08:31, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.6469, top5_acc: 0.8775, loss_cls: 5.7291, loss: 5.7291 2025-04-30 16:59:28,426 - pyskl - INFO - Epoch [84][600/1027] lr: 1.026e-02, eta: 9:07:43, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.6681, top5_acc: 0.8894, loss_cls: 5.5876, loss: 5.5876 2025-04-30 17:00:16,342 - pyskl - INFO - Epoch [84][700/1027] lr: 1.024e-02, eta: 9:06:55, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6569, top5_acc: 0.8844, loss_cls: 5.7379, loss: 5.7379 2025-04-30 17:01:05,184 - pyskl - INFO - Epoch [84][800/1027] lr: 1.021e-02, eta: 9:06:07, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.6375, top5_acc: 0.8750, loss_cls: 5.8410, loss: 5.8410 2025-04-30 17:01:53,369 - pyskl - INFO - Epoch [84][900/1027] lr: 1.019e-02, eta: 9:05:19, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6544, top5_acc: 0.8775, loss_cls: 5.7344, loss: 5.7344 2025-04-30 17:02:41,163 - pyskl - INFO - Epoch [84][1000/1027] lr: 1.016e-02, eta: 9:04:31, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.6800, top5_acc: 0.8944, loss_cls: 5.5432, loss: 5.5432 2025-04-30 17:02:55,068 - pyskl - INFO - Saving checkpoint at 84 epochs 2025-04-30 17:03:35,214 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 17:03:35,285 - pyskl - INFO - top1_acc 0.5592 top5_acc 0.8419 2025-04-30 17:03:35,285 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 17:03:35,292 - pyskl - INFO - mean_acc 0.5605 2025-04-30 17:03:35,364 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_77.pth was removed 2025-04-30 17:03:36,943 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_84.pth. 2025-04-30 17:03:36,944 - pyskl - INFO - Best top1_acc is 0.5592 at 84 epoch. 2025-04-30 17:03:36,947 - pyskl - INFO - Epoch(val) [84][413] top1_acc: 0.5592, top5_acc: 0.8419, mean_class_accuracy: 0.5605 2025-04-30 17:04:40,982 - pyskl - INFO - Epoch [85][100/1027] lr: 1.013e-02, eta: 9:03:32, time: 0.640, data_time: 0.255, memory: 7959, top1_acc: 0.6856, top5_acc: 0.8944, loss_cls: 5.5376, loss: 5.5376 2025-04-30 17:05:25,885 - pyskl - INFO - Epoch [85][200/1027] lr: 1.011e-02, eta: 9:02:41, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.7094, top5_acc: 0.8975, loss_cls: 5.3823, loss: 5.3823 2025-04-30 17:06:12,864 - pyskl - INFO - Epoch [85][300/1027] lr: 1.008e-02, eta: 9:01:52, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7006, top5_acc: 0.9019, loss_cls: 5.4472, loss: 5.4472 2025-04-30 17:07:01,305 - pyskl - INFO - Epoch [85][400/1027] lr: 1.006e-02, eta: 9:01:04, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.6744, top5_acc: 0.8994, loss_cls: 5.6252, loss: 5.6252 2025-04-30 17:07:48,736 - pyskl - INFO - Epoch [85][500/1027] lr: 1.003e-02, eta: 9:00:15, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.6969, top5_acc: 0.9038, loss_cls: 5.3676, loss: 5.3676 2025-04-30 17:08:36,864 - pyskl - INFO - Epoch [85][600/1027] lr: 1.001e-02, eta: 8:59:27, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.6863, top5_acc: 0.8988, loss_cls: 5.6282, loss: 5.6282 2025-04-30 17:09:24,424 - pyskl - INFO - Epoch [85][700/1027] lr: 9.983e-03, eta: 8:58:38, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.6462, top5_acc: 0.8856, loss_cls: 5.7976, loss: 5.7976 2025-04-30 17:10:12,008 - pyskl - INFO - Epoch [85][800/1027] lr: 9.958e-03, eta: 8:57:50, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.6512, top5_acc: 0.8850, loss_cls: 5.7306, loss: 5.7306 2025-04-30 17:11:00,200 - pyskl - INFO - Epoch [85][900/1027] lr: 9.933e-03, eta: 8:57:01, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6575, top5_acc: 0.8819, loss_cls: 5.6758, loss: 5.6758 2025-04-30 17:11:47,910 - pyskl - INFO - Epoch [85][1000/1027] lr: 9.908e-03, eta: 8:56:13, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6600, top5_acc: 0.8838, loss_cls: 5.6224, loss: 5.6224 2025-04-30 17:12:01,592 - pyskl - INFO - Saving checkpoint at 85 epochs 2025-04-30 17:12:42,668 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 17:12:42,741 - pyskl - INFO - top1_acc 0.5552 top5_acc 0.8403 2025-04-30 17:12:42,741 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 17:12:42,749 - pyskl - INFO - mean_acc 0.5583 2025-04-30 17:12:42,750 - pyskl - INFO - Epoch(val) [85][413] top1_acc: 0.5552, top5_acc: 0.8403, mean_class_accuracy: 0.5583 2025-04-30 17:13:47,724 - pyskl - INFO - Epoch [86][100/1027] lr: 9.876e-03, eta: 8:55:15, time: 0.650, data_time: 0.261, memory: 7959, top1_acc: 0.7231, top5_acc: 0.9163, loss_cls: 5.2657, loss: 5.2657 2025-04-30 17:14:32,676 - pyskl - INFO - Epoch [86][200/1027] lr: 9.852e-03, eta: 8:54:24, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.7087, top5_acc: 0.9087, loss_cls: 5.3506, loss: 5.3506 2025-04-30 17:15:19,126 - pyskl - INFO - Epoch [86][300/1027] lr: 9.827e-03, eta: 8:53:34, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.6750, top5_acc: 0.8938, loss_cls: 5.5355, loss: 5.5355 2025-04-30 17:16:06,500 - pyskl - INFO - Epoch [86][400/1027] lr: 9.802e-03, eta: 8:52:46, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.6837, top5_acc: 0.8938, loss_cls: 5.4377, loss: 5.4377 2025-04-30 17:16:54,451 - pyskl - INFO - Epoch [86][500/1027] lr: 9.777e-03, eta: 8:51:57, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6944, top5_acc: 0.8994, loss_cls: 5.5055, loss: 5.5055 2025-04-30 17:17:41,910 - pyskl - INFO - Epoch [86][600/1027] lr: 9.752e-03, eta: 8:51:09, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.6775, top5_acc: 0.9094, loss_cls: 5.5314, loss: 5.5314 2025-04-30 17:18:29,468 - pyskl - INFO - Epoch [86][700/1027] lr: 9.727e-03, eta: 8:50:20, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.6725, top5_acc: 0.8906, loss_cls: 5.5616, loss: 5.5616 2025-04-30 17:19:17,792 - pyskl - INFO - Epoch [86][800/1027] lr: 9.702e-03, eta: 8:49:32, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.6375, top5_acc: 0.8675, loss_cls: 5.7294, loss: 5.7294 2025-04-30 17:20:04,986 - pyskl - INFO - Epoch [86][900/1027] lr: 9.677e-03, eta: 8:48:43, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6494, top5_acc: 0.8794, loss_cls: 5.7055, loss: 5.7055 2025-04-30 17:20:52,625 - pyskl - INFO - Epoch [86][1000/1027] lr: 9.653e-03, eta: 8:47:54, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.6737, top5_acc: 0.8762, loss_cls: 5.6706, loss: 5.6706 2025-04-30 17:21:06,355 - pyskl - INFO - Saving checkpoint at 86 epochs 2025-04-30 17:21:46,591 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 17:21:46,664 - pyskl - INFO - top1_acc 0.5495 top5_acc 0.8288 2025-04-30 17:21:46,665 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 17:21:46,673 - pyskl - INFO - mean_acc 0.5495 2025-04-30 17:21:46,674 - pyskl - INFO - Epoch(val) [86][413] top1_acc: 0.5495, top5_acc: 0.8288, mean_class_accuracy: 0.5495 2025-04-30 17:22:51,044 - pyskl - INFO - Epoch [87][100/1027] lr: 9.621e-03, eta: 8:46:56, time: 0.644, data_time: 0.256, memory: 7959, top1_acc: 0.7106, top5_acc: 0.9113, loss_cls: 5.3263, loss: 5.3263 2025-04-30 17:23:36,127 - pyskl - INFO - Epoch [87][200/1027] lr: 9.596e-03, eta: 8:46:05, time: 0.451, data_time: 0.000, memory: 7959, top1_acc: 0.7156, top5_acc: 0.9106, loss_cls: 5.4047, loss: 5.4047 2025-04-30 17:24:23,855 - pyskl - INFO - Epoch [87][300/1027] lr: 9.571e-03, eta: 8:45:17, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.6981, top5_acc: 0.9056, loss_cls: 5.6142, loss: 5.6142 2025-04-30 17:25:13,363 - pyskl - INFO - Epoch [87][400/1027] lr: 9.547e-03, eta: 8:44:29, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.6956, top5_acc: 0.9075, loss_cls: 5.5416, loss: 5.5416 2025-04-30 17:26:04,110 - pyskl - INFO - Epoch [87][500/1027] lr: 9.522e-03, eta: 8:43:43, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.7087, top5_acc: 0.8975, loss_cls: 5.4242, loss: 5.4242 2025-04-30 17:26:54,122 - pyskl - INFO - Epoch [87][600/1027] lr: 9.497e-03, eta: 8:42:56, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.6763, top5_acc: 0.9125, loss_cls: 5.3903, loss: 5.3903 2025-04-30 17:27:45,410 - pyskl - INFO - Epoch [87][700/1027] lr: 9.472e-03, eta: 8:42:10, time: 0.513, data_time: 0.000, memory: 7959, top1_acc: 0.6844, top5_acc: 0.9038, loss_cls: 5.6154, loss: 5.6154 2025-04-30 17:28:34,823 - pyskl - INFO - Epoch [87][800/1027] lr: 9.448e-03, eta: 8:41:23, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.6637, top5_acc: 0.8994, loss_cls: 5.5712, loss: 5.5712 2025-04-30 17:29:23,486 - pyskl - INFO - Epoch [87][900/1027] lr: 9.423e-03, eta: 8:40:35, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.6781, top5_acc: 0.8944, loss_cls: 5.5658, loss: 5.5658 2025-04-30 17:30:11,493 - pyskl - INFO - Epoch [87][1000/1027] lr: 9.398e-03, eta: 8:39:47, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.6669, top5_acc: 0.8881, loss_cls: 5.6026, loss: 5.6026 2025-04-30 17:30:25,720 - pyskl - INFO - Saving checkpoint at 87 epochs 2025-04-30 17:31:06,302 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 17:31:06,375 - pyskl - INFO - top1_acc 0.5449 top5_acc 0.8304 2025-04-30 17:31:06,375 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 17:31:06,383 - pyskl - INFO - mean_acc 0.5510 2025-04-30 17:31:06,385 - pyskl - INFO - Epoch(val) [87][413] top1_acc: 0.5449, top5_acc: 0.8304, mean_class_accuracy: 0.5510 2025-04-30 17:32:11,376 - pyskl - INFO - Epoch [88][100/1027] lr: 9.367e-03, eta: 8:38:49, time: 0.650, data_time: 0.254, memory: 7959, top1_acc: 0.7219, top5_acc: 0.9213, loss_cls: 5.4089, loss: 5.4089 2025-04-30 17:32:56,742 - pyskl - INFO - Epoch [88][200/1027] lr: 9.342e-03, eta: 8:37:58, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.7156, top5_acc: 0.9119, loss_cls: 5.3493, loss: 5.3493 2025-04-30 17:33:44,997 - pyskl - INFO - Epoch [88][300/1027] lr: 9.318e-03, eta: 8:37:10, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.7188, top5_acc: 0.9169, loss_cls: 5.3613, loss: 5.3613 2025-04-30 17:34:34,441 - pyskl - INFO - Epoch [88][400/1027] lr: 9.293e-03, eta: 8:36:23, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.7025, top5_acc: 0.8962, loss_cls: 5.4933, loss: 5.4933 2025-04-30 17:35:25,575 - pyskl - INFO - Epoch [88][500/1027] lr: 9.268e-03, eta: 8:35:37, time: 0.511, data_time: 0.000, memory: 7959, top1_acc: 0.7069, top5_acc: 0.9106, loss_cls: 5.4091, loss: 5.4091 2025-04-30 17:36:15,440 - pyskl - INFO - Epoch [88][600/1027] lr: 9.244e-03, eta: 8:34:50, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.6856, top5_acc: 0.8944, loss_cls: 5.5497, loss: 5.5497 2025-04-30 17:37:06,441 - pyskl - INFO - Epoch [88][700/1027] lr: 9.219e-03, eta: 8:34:04, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.6875, top5_acc: 0.8962, loss_cls: 5.5146, loss: 5.5146 2025-04-30 17:37:56,882 - pyskl - INFO - Epoch [88][800/1027] lr: 9.195e-03, eta: 8:33:17, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.6925, top5_acc: 0.9000, loss_cls: 5.4501, loss: 5.4501 2025-04-30 17:38:47,721 - pyskl - INFO - Epoch [88][900/1027] lr: 9.170e-03, eta: 8:32:31, time: 0.508, data_time: 0.000, memory: 7959, top1_acc: 0.6800, top5_acc: 0.9137, loss_cls: 5.5516, loss: 5.5516 2025-04-30 17:39:38,845 - pyskl - INFO - Epoch [88][1000/1027] lr: 9.145e-03, eta: 8:31:45, time: 0.511, data_time: 0.000, memory: 7959, top1_acc: 0.6488, top5_acc: 0.8869, loss_cls: 5.6341, loss: 5.6341 2025-04-30 17:39:53,147 - pyskl - INFO - Saving checkpoint at 88 epochs 2025-04-30 17:40:34,415 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 17:40:34,488 - pyskl - INFO - top1_acc 0.5622 top5_acc 0.8438 2025-04-30 17:40:34,489 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 17:40:34,496 - pyskl - INFO - mean_acc 0.5632 2025-04-30 17:40:34,560 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_84.pth was removed 2025-04-30 17:40:36,208 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_88.pth. 2025-04-30 17:40:36,210 - pyskl - INFO - Best top1_acc is 0.5622 at 88 epoch. 2025-04-30 17:40:36,212 - pyskl - INFO - Epoch(val) [88][413] top1_acc: 0.5622, top5_acc: 0.8438, mean_class_accuracy: 0.5632 2025-04-30 17:41:40,852 - pyskl - INFO - Epoch [89][100/1027] lr: 9.114e-03, eta: 8:30:46, time: 0.646, data_time: 0.257, memory: 7959, top1_acc: 0.7362, top5_acc: 0.9175, loss_cls: 5.2050, loss: 5.2050 2025-04-30 17:42:25,336 - pyskl - INFO - Epoch [89][200/1027] lr: 9.090e-03, eta: 8:29:55, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.7319, top5_acc: 0.9313, loss_cls: 5.2013, loss: 5.2013 2025-04-30 17:43:12,196 - pyskl - INFO - Epoch [89][300/1027] lr: 9.065e-03, eta: 8:29:06, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.7113, top5_acc: 0.9200, loss_cls: 5.2394, loss: 5.2394 2025-04-30 17:44:00,382 - pyskl - INFO - Epoch [89][400/1027] lr: 9.041e-03, eta: 8:28:18, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.6975, top5_acc: 0.9131, loss_cls: 5.3384, loss: 5.3384 2025-04-30 17:44:48,257 - pyskl - INFO - Epoch [89][500/1027] lr: 9.016e-03, eta: 8:27:29, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.7212, top5_acc: 0.9181, loss_cls: 5.3213, loss: 5.3213 2025-04-30 17:45:35,476 - pyskl - INFO - Epoch [89][600/1027] lr: 8.992e-03, eta: 8:26:40, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.6931, top5_acc: 0.8956, loss_cls: 5.4273, loss: 5.4273 2025-04-30 17:46:23,373 - pyskl - INFO - Epoch [89][700/1027] lr: 8.967e-03, eta: 8:25:52, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6737, top5_acc: 0.8906, loss_cls: 5.6202, loss: 5.6202 2025-04-30 17:47:11,455 - pyskl - INFO - Epoch [89][800/1027] lr: 8.943e-03, eta: 8:25:04, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.6856, top5_acc: 0.9000, loss_cls: 5.4664, loss: 5.4664 2025-04-30 17:47:59,408 - pyskl - INFO - Epoch [89][900/1027] lr: 8.918e-03, eta: 8:24:15, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.7050, top5_acc: 0.8969, loss_cls: 5.4319, loss: 5.4319 2025-04-30 17:48:47,374 - pyskl - INFO - Epoch [89][1000/1027] lr: 8.894e-03, eta: 8:23:27, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.6813, top5_acc: 0.8850, loss_cls: 5.6273, loss: 5.6273 2025-04-30 17:49:01,573 - pyskl - INFO - Saving checkpoint at 89 epochs 2025-04-30 17:49:41,850 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 17:49:41,943 - pyskl - INFO - top1_acc 0.5777 top5_acc 0.8450 2025-04-30 17:49:41,943 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 17:49:41,953 - pyskl - INFO - mean_acc 0.5786 2025-04-30 17:49:42,020 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_88.pth was removed 2025-04-30 17:49:43,628 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. 2025-04-30 17:49:43,630 - pyskl - INFO - Best top1_acc is 0.5777 at 89 epoch. 2025-04-30 17:49:43,634 - pyskl - INFO - Epoch(val) [89][413] top1_acc: 0.5777, top5_acc: 0.8450, mean_class_accuracy: 0.5786 2025-04-30 17:50:48,654 - pyskl - INFO - Epoch [90][100/1027] lr: 8.863e-03, eta: 8:22:28, time: 0.650, data_time: 0.263, memory: 7959, top1_acc: 0.7412, top5_acc: 0.9244, loss_cls: 5.1750, loss: 5.1750 2025-04-30 17:51:33,525 - pyskl - INFO - Epoch [90][200/1027] lr: 8.839e-03, eta: 8:21:38, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.7594, top5_acc: 0.9294, loss_cls: 5.1322, loss: 5.1322 2025-04-30 17:52:20,046 - pyskl - INFO - Epoch [90][300/1027] lr: 8.814e-03, eta: 8:20:48, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.7294, top5_acc: 0.9194, loss_cls: 5.3259, loss: 5.3259 2025-04-30 17:53:07,870 - pyskl - INFO - Epoch [90][400/1027] lr: 8.790e-03, eta: 8:20:00, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.7063, top5_acc: 0.9025, loss_cls: 5.4064, loss: 5.4064 2025-04-30 17:53:56,264 - pyskl - INFO - Epoch [90][500/1027] lr: 8.766e-03, eta: 8:19:12, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.7063, top5_acc: 0.9213, loss_cls: 5.3631, loss: 5.3631 2025-04-30 17:54:44,067 - pyskl - INFO - Epoch [90][600/1027] lr: 8.741e-03, eta: 8:18:23, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.6775, top5_acc: 0.8862, loss_cls: 5.4414, loss: 5.4414 2025-04-30 17:55:31,892 - pyskl - INFO - Epoch [90][700/1027] lr: 8.717e-03, eta: 8:17:35, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.7144, top5_acc: 0.9069, loss_cls: 5.3912, loss: 5.3912 2025-04-30 17:56:20,768 - pyskl - INFO - Epoch [90][800/1027] lr: 8.693e-03, eta: 8:16:47, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.7144, top5_acc: 0.9137, loss_cls: 5.4165, loss: 5.4165 2025-04-30 17:57:08,561 - pyskl - INFO - Epoch [90][900/1027] lr: 8.668e-03, eta: 8:15:59, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.6850, top5_acc: 0.9087, loss_cls: 5.4312, loss: 5.4312 2025-04-30 17:57:56,474 - pyskl - INFO - Epoch [90][1000/1027] lr: 8.644e-03, eta: 8:15:10, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.7069, top5_acc: 0.9056, loss_cls: 5.4026, loss: 5.4026 2025-04-30 17:58:10,312 - pyskl - INFO - Saving checkpoint at 90 epochs 2025-04-30 17:58:50,512 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 17:58:50,585 - pyskl - INFO - top1_acc 0.5514 top5_acc 0.8329 2025-04-30 17:58:50,585 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 17:58:50,592 - pyskl - INFO - mean_acc 0.5522 2025-04-30 17:58:50,594 - pyskl - INFO - Epoch(val) [90][413] top1_acc: 0.5514, top5_acc: 0.8329, mean_class_accuracy: 0.5522 2025-04-30 17:59:54,982 - pyskl - INFO - Epoch [91][100/1027] lr: 8.613e-03, eta: 8:14:11, time: 0.644, data_time: 0.255, memory: 7959, top1_acc: 0.7669, top5_acc: 0.9381, loss_cls: 5.0129, loss: 5.0129 2025-04-30 18:00:39,533 - pyskl - INFO - Epoch [91][200/1027] lr: 8.589e-03, eta: 8:13:21, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.7456, top5_acc: 0.9256, loss_cls: 5.2705, loss: 5.2705 2025-04-30 18:01:25,779 - pyskl - INFO - Epoch [91][300/1027] lr: 8.565e-03, eta: 8:12:31, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.7456, top5_acc: 0.9194, loss_cls: 5.2160, loss: 5.2160 2025-04-30 18:02:14,759 - pyskl - INFO - Epoch [91][400/1027] lr: 8.541e-03, eta: 8:11:44, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.7469, top5_acc: 0.9250, loss_cls: 5.1968, loss: 5.1968 2025-04-30 18:03:03,220 - pyskl - INFO - Epoch [91][500/1027] lr: 8.517e-03, eta: 8:10:56, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.7200, top5_acc: 0.9244, loss_cls: 5.2562, loss: 5.2562 2025-04-30 18:03:50,912 - pyskl - INFO - Epoch [91][600/1027] lr: 8.492e-03, eta: 8:10:07, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.7025, top5_acc: 0.9150, loss_cls: 5.3475, loss: 5.3475 2025-04-30 18:04:38,726 - pyskl - INFO - Epoch [91][700/1027] lr: 8.468e-03, eta: 8:09:19, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.7087, top5_acc: 0.9050, loss_cls: 5.3240, loss: 5.3240 2025-04-30 18:05:27,483 - pyskl - INFO - Epoch [91][800/1027] lr: 8.444e-03, eta: 8:08:31, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.7212, top5_acc: 0.9263, loss_cls: 5.3337, loss: 5.3337 2025-04-30 18:06:15,987 - pyskl - INFO - Epoch [91][900/1027] lr: 8.420e-03, eta: 8:07:43, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.7013, top5_acc: 0.9050, loss_cls: 5.4763, loss: 5.4763 2025-04-30 18:07:03,863 - pyskl - INFO - Epoch [91][1000/1027] lr: 8.396e-03, eta: 8:06:54, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.6963, top5_acc: 0.9163, loss_cls: 5.5347, loss: 5.5347 2025-04-30 18:07:17,285 - pyskl - INFO - Saving checkpoint at 91 epochs 2025-04-30 18:07:57,776 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 18:07:57,849 - pyskl - INFO - top1_acc 0.5472 top5_acc 0.8322 2025-04-30 18:07:57,849 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 18:07:57,856 - pyskl - INFO - mean_acc 0.5452 2025-04-30 18:07:57,857 - pyskl - INFO - Epoch(val) [91][413] top1_acc: 0.5472, top5_acc: 0.8322, mean_class_accuracy: 0.5452 2025-04-30 18:09:02,101 - pyskl - INFO - Epoch [92][100/1027] lr: 8.365e-03, eta: 8:05:55, time: 0.642, data_time: 0.255, memory: 7959, top1_acc: 0.7500, top5_acc: 0.9400, loss_cls: 5.0332, loss: 5.0332 2025-04-30 18:09:46,525 - pyskl - INFO - Epoch [92][200/1027] lr: 8.341e-03, eta: 8:05:04, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.7406, top5_acc: 0.9250, loss_cls: 5.1760, loss: 5.1760 2025-04-30 18:10:33,159 - pyskl - INFO - Epoch [92][300/1027] lr: 8.317e-03, eta: 8:04:15, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.7581, top5_acc: 0.9313, loss_cls: 5.0945, loss: 5.0945 2025-04-30 18:11:21,861 - pyskl - INFO - Epoch [92][400/1027] lr: 8.293e-03, eta: 8:03:27, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.7456, top5_acc: 0.9250, loss_cls: 5.1467, loss: 5.1467 2025-04-30 18:12:09,311 - pyskl - INFO - Epoch [92][500/1027] lr: 8.269e-03, eta: 8:02:39, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.7125, top5_acc: 0.9169, loss_cls: 5.3911, loss: 5.3911 2025-04-30 18:12:58,456 - pyskl - INFO - Epoch [92][600/1027] lr: 8.245e-03, eta: 8:01:51, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.7244, top5_acc: 0.9200, loss_cls: 5.2688, loss: 5.2688 2025-04-30 18:13:46,219 - pyskl - INFO - Epoch [92][700/1027] lr: 8.221e-03, eta: 8:01:03, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.7238, top5_acc: 0.9206, loss_cls: 5.2515, loss: 5.2515 2025-04-30 18:14:34,094 - pyskl - INFO - Epoch [92][800/1027] lr: 8.197e-03, eta: 8:00:14, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.7063, top5_acc: 0.9131, loss_cls: 5.3216, loss: 5.3216 2025-04-30 18:15:22,652 - pyskl - INFO - Epoch [92][900/1027] lr: 8.173e-03, eta: 7:59:26, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.7175, top5_acc: 0.9038, loss_cls: 5.2974, loss: 5.2974 2025-04-30 18:16:11,697 - pyskl - INFO - Epoch [92][1000/1027] lr: 8.150e-03, eta: 7:58:39, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.7175, top5_acc: 0.9200, loss_cls: 5.2625, loss: 5.2625 2025-04-30 18:16:25,119 - pyskl - INFO - Saving checkpoint at 92 epochs 2025-04-30 18:17:05,734 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 18:17:05,805 - pyskl - INFO - top1_acc 0.5701 top5_acc 0.8404 2025-04-30 18:17:05,805 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 18:17:05,813 - pyskl - INFO - mean_acc 0.5713 2025-04-30 18:17:05,814 - pyskl - INFO - Epoch(val) [92][413] top1_acc: 0.5701, top5_acc: 0.8404, mean_class_accuracy: 0.5713 2025-04-30 18:18:10,377 - pyskl - INFO - Epoch [93][100/1027] lr: 8.119e-03, eta: 7:57:40, time: 0.646, data_time: 0.257, memory: 7959, top1_acc: 0.7656, top5_acc: 0.9306, loss_cls: 5.1459, loss: 5.1459 2025-04-30 18:18:55,354 - pyskl - INFO - Epoch [93][200/1027] lr: 8.095e-03, eta: 7:56:49, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.7606, top5_acc: 0.9269, loss_cls: 5.0019, loss: 5.0019 2025-04-30 18:19:41,426 - pyskl - INFO - Epoch [93][300/1027] lr: 8.071e-03, eta: 7:56:00, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.7681, top5_acc: 0.9331, loss_cls: 4.9621, loss: 4.9621 2025-04-30 18:20:28,860 - pyskl - INFO - Epoch [93][400/1027] lr: 8.048e-03, eta: 7:55:11, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.7562, top5_acc: 0.9369, loss_cls: 5.0560, loss: 5.0560 2025-04-30 18:21:16,555 - pyskl - INFO - Epoch [93][500/1027] lr: 8.024e-03, eta: 7:54:23, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.7300, top5_acc: 0.9187, loss_cls: 5.2273, loss: 5.2273 2025-04-30 18:22:04,328 - pyskl - INFO - Epoch [93][600/1027] lr: 8.000e-03, eta: 7:53:34, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.7412, top5_acc: 0.9244, loss_cls: 5.3246, loss: 5.3246 2025-04-30 18:22:52,972 - pyskl - INFO - Epoch [93][700/1027] lr: 7.976e-03, eta: 7:52:46, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.7275, top5_acc: 0.9244, loss_cls: 5.1779, loss: 5.1779 2025-04-30 18:23:43,186 - pyskl - INFO - Epoch [93][800/1027] lr: 7.953e-03, eta: 7:51:59, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.7238, top5_acc: 0.9100, loss_cls: 5.2899, loss: 5.2899 2025-04-30 18:24:32,928 - pyskl - INFO - Epoch [93][900/1027] lr: 7.929e-03, eta: 7:51:12, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.7325, top5_acc: 0.9100, loss_cls: 5.2488, loss: 5.2488 2025-04-30 18:25:23,446 - pyskl - INFO - Epoch [93][1000/1027] lr: 7.905e-03, eta: 7:50:25, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.7069, top5_acc: 0.9087, loss_cls: 5.3084, loss: 5.3084 2025-04-30 18:25:37,726 - pyskl - INFO - Saving checkpoint at 93 epochs 2025-04-30 18:26:19,460 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 18:26:19,531 - pyskl - INFO - top1_acc 0.5548 top5_acc 0.8329 2025-04-30 18:26:19,531 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 18:26:19,540 - pyskl - INFO - mean_acc 0.5585 2025-04-30 18:26:19,541 - pyskl - INFO - Epoch(val) [93][413] top1_acc: 0.5548, top5_acc: 0.8329, mean_class_accuracy: 0.5585 2025-04-30 18:27:24,954 - pyskl - INFO - Epoch [94][100/1027] lr: 7.875e-03, eta: 7:49:27, time: 0.654, data_time: 0.258, memory: 7959, top1_acc: 0.7638, top5_acc: 0.9319, loss_cls: 5.0781, loss: 5.0781 2025-04-30 18:28:11,088 - pyskl - INFO - Epoch [94][200/1027] lr: 7.851e-03, eta: 7:48:37, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.7694, top5_acc: 0.9419, loss_cls: 5.0385, loss: 5.0385 2025-04-30 18:28:58,135 - pyskl - INFO - Epoch [94][300/1027] lr: 7.828e-03, eta: 7:47:48, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.7625, top5_acc: 0.9337, loss_cls: 5.1186, loss: 5.1186 2025-04-30 18:29:46,307 - pyskl - INFO - Epoch [94][400/1027] lr: 7.804e-03, eta: 7:47:00, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.7419, top5_acc: 0.9287, loss_cls: 5.2648, loss: 5.2648 2025-04-30 18:30:34,896 - pyskl - INFO - Epoch [94][500/1027] lr: 7.780e-03, eta: 7:46:12, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.7425, top5_acc: 0.9337, loss_cls: 5.1336, loss: 5.1336 2025-04-30 18:31:23,672 - pyskl - INFO - Epoch [94][600/1027] lr: 7.757e-03, eta: 7:45:24, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.7288, top5_acc: 0.9275, loss_cls: 5.2203, loss: 5.2203 2025-04-30 18:32:12,575 - pyskl - INFO - Epoch [94][700/1027] lr: 7.733e-03, eta: 7:44:37, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.7350, top5_acc: 0.9294, loss_cls: 5.2888, loss: 5.2888 2025-04-30 18:33:02,920 - pyskl - INFO - Epoch [94][800/1027] lr: 7.710e-03, eta: 7:43:50, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.7250, top5_acc: 0.9150, loss_cls: 5.3768, loss: 5.3768 2025-04-30 18:33:53,317 - pyskl - INFO - Epoch [94][900/1027] lr: 7.686e-03, eta: 7:43:03, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.7456, top5_acc: 0.9394, loss_cls: 5.1498, loss: 5.1498 2025-04-30 18:34:43,019 - pyskl - INFO - Epoch [94][1000/1027] lr: 7.663e-03, eta: 7:42:16, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.7388, top5_acc: 0.9281, loss_cls: 5.1197, loss: 5.1197 2025-04-30 18:34:57,003 - pyskl - INFO - Saving checkpoint at 94 epochs 2025-04-30 18:35:38,525 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 18:35:38,601 - pyskl - INFO - top1_acc 0.5593 top5_acc 0.8386 2025-04-30 18:35:38,601 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 18:35:38,610 - pyskl - INFO - mean_acc 0.5610 2025-04-30 18:35:38,611 - pyskl - INFO - Epoch(val) [94][413] top1_acc: 0.5593, top5_acc: 0.8386, mean_class_accuracy: 0.5610 2025-04-30 18:36:44,807 - pyskl - INFO - Epoch [95][100/1027] lr: 7.633e-03, eta: 7:41:17, time: 0.662, data_time: 0.260, memory: 7959, top1_acc: 0.7869, top5_acc: 0.9531, loss_cls: 4.9934, loss: 4.9934 2025-04-30 18:37:32,436 - pyskl - INFO - Epoch [95][200/1027] lr: 7.609e-03, eta: 7:40:29, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.7788, top5_acc: 0.9487, loss_cls: 4.9956, loss: 4.9956 2025-04-30 18:38:22,066 - pyskl - INFO - Epoch [95][300/1027] lr: 7.586e-03, eta: 7:39:41, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.7606, top5_acc: 0.9375, loss_cls: 5.1309, loss: 5.1309 2025-04-30 18:39:12,767 - pyskl - INFO - Epoch [95][400/1027] lr: 7.562e-03, eta: 7:38:55, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.7662, top5_acc: 0.9331, loss_cls: 4.9017, loss: 4.9017 2025-04-30 18:40:02,298 - pyskl - INFO - Epoch [95][500/1027] lr: 7.539e-03, eta: 7:38:07, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.7625, top5_acc: 0.9281, loss_cls: 5.0524, loss: 5.0524 2025-04-30 18:40:53,810 - pyskl - INFO - Epoch [95][600/1027] lr: 7.516e-03, eta: 7:37:21, time: 0.515, data_time: 0.000, memory: 7959, top1_acc: 0.7388, top5_acc: 0.9175, loss_cls: 5.1749, loss: 5.1749 2025-04-30 18:41:44,102 - pyskl - INFO - Epoch [95][700/1027] lr: 7.492e-03, eta: 7:36:34, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.7350, top5_acc: 0.9394, loss_cls: 5.1372, loss: 5.1372 2025-04-30 18:42:33,210 - pyskl - INFO - Epoch [95][800/1027] lr: 7.469e-03, eta: 7:35:46, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.7500, top5_acc: 0.9419, loss_cls: 5.0970, loss: 5.0970 2025-04-30 18:43:21,896 - pyskl - INFO - Epoch [95][900/1027] lr: 7.446e-03, eta: 7:34:58, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.7431, top5_acc: 0.9306, loss_cls: 5.2060, loss: 5.2060 2025-04-30 18:44:10,516 - pyskl - INFO - Epoch [95][1000/1027] lr: 7.422e-03, eta: 7:34:10, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.7550, top5_acc: 0.9369, loss_cls: 5.1936, loss: 5.1936 2025-04-30 18:44:24,713 - pyskl - INFO - Saving checkpoint at 95 epochs 2025-04-30 18:45:06,423 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 18:45:06,497 - pyskl - INFO - top1_acc 0.5666 top5_acc 0.8348 2025-04-30 18:45:06,497 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 18:45:06,505 - pyskl - INFO - mean_acc 0.5703 2025-04-30 18:45:06,507 - pyskl - INFO - Epoch(val) [95][413] top1_acc: 0.5666, top5_acc: 0.8348, mean_class_accuracy: 0.5703 2025-04-30 18:46:12,785 - pyskl - INFO - Epoch [96][100/1027] lr: 7.393e-03, eta: 7:33:12, time: 0.663, data_time: 0.258, memory: 7959, top1_acc: 0.7950, top5_acc: 0.9550, loss_cls: 4.7430, loss: 4.7430 2025-04-30 18:46:58,458 - pyskl - INFO - Epoch [96][200/1027] lr: 7.369e-03, eta: 7:32:22, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.7825, top5_acc: 0.9444, loss_cls: 4.9233, loss: 4.9233 2025-04-30 18:47:45,925 - pyskl - INFO - Epoch [96][300/1027] lr: 7.346e-03, eta: 7:31:34, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.7913, top5_acc: 0.9387, loss_cls: 4.9551, loss: 4.9551 2025-04-30 18:48:34,121 - pyskl - INFO - Epoch [96][400/1027] lr: 7.323e-03, eta: 7:30:45, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.7812, top5_acc: 0.9469, loss_cls: 5.0010, loss: 5.0010 2025-04-30 18:49:22,971 - pyskl - INFO - Epoch [96][500/1027] lr: 7.300e-03, eta: 7:29:57, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.7619, top5_acc: 0.9381, loss_cls: 4.9983, loss: 4.9983 2025-04-30 18:50:10,854 - pyskl - INFO - Epoch [96][600/1027] lr: 7.277e-03, eta: 7:29:09, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.7588, top5_acc: 0.9350, loss_cls: 5.0892, loss: 5.0892 2025-04-30 18:50:59,188 - pyskl - INFO - Epoch [96][700/1027] lr: 7.254e-03, eta: 7:28:21, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.7619, top5_acc: 0.9331, loss_cls: 5.1342, loss: 5.1342 2025-04-30 18:51:47,089 - pyskl - INFO - Epoch [96][800/1027] lr: 7.230e-03, eta: 7:27:32, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.7431, top5_acc: 0.9263, loss_cls: 5.2130, loss: 5.2130 2025-04-30 18:52:35,676 - pyskl - INFO - Epoch [96][900/1027] lr: 7.207e-03, eta: 7:26:44, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.7612, top5_acc: 0.9319, loss_cls: 4.9135, loss: 4.9135 2025-04-30 18:53:23,312 - pyskl - INFO - Epoch [96][1000/1027] lr: 7.184e-03, eta: 7:25:56, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.7681, top5_acc: 0.9487, loss_cls: 5.0464, loss: 5.0464 2025-04-30 18:53:37,580 - pyskl - INFO - Saving checkpoint at 96 epochs 2025-04-30 18:54:18,538 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 18:54:18,611 - pyskl - INFO - top1_acc 0.5660 top5_acc 0.8363 2025-04-30 18:54:18,611 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 18:54:18,619 - pyskl - INFO - mean_acc 0.5701 2025-04-30 18:54:18,620 - pyskl - INFO - Epoch(val) [96][413] top1_acc: 0.5660, top5_acc: 0.8363, mean_class_accuracy: 0.5701 2025-04-30 18:55:22,916 - pyskl - INFO - Epoch [97][100/1027] lr: 7.155e-03, eta: 7:24:56, time: 0.643, data_time: 0.254, memory: 7959, top1_acc: 0.7956, top5_acc: 0.9469, loss_cls: 4.8652, loss: 4.8652 2025-04-30 18:56:06,566 - pyskl - INFO - Epoch [97][200/1027] lr: 7.132e-03, eta: 7:24:06, time: 0.436, data_time: 0.000, memory: 7959, top1_acc: 0.7969, top5_acc: 0.9575, loss_cls: 4.8355, loss: 4.8355 2025-04-30 18:56:54,005 - pyskl - INFO - Epoch [97][300/1027] lr: 7.109e-03, eta: 7:23:17, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.8025, top5_acc: 0.9575, loss_cls: 4.7934, loss: 4.7934 2025-04-30 18:57:41,834 - pyskl - INFO - Epoch [97][400/1027] lr: 7.086e-03, eta: 7:22:28, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.7863, top5_acc: 0.9550, loss_cls: 4.9800, loss: 4.9800 2025-04-30 18:58:29,787 - pyskl - INFO - Epoch [97][500/1027] lr: 7.063e-03, eta: 7:21:40, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.7931, top5_acc: 0.9475, loss_cls: 4.8813, loss: 4.8813 2025-04-30 18:59:18,513 - pyskl - INFO - Epoch [97][600/1027] lr: 7.040e-03, eta: 7:20:52, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.7581, top5_acc: 0.9319, loss_cls: 5.1156, loss: 5.1156 2025-04-30 19:00:06,855 - pyskl - INFO - Epoch [97][700/1027] lr: 7.017e-03, eta: 7:20:04, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.7644, top5_acc: 0.9344, loss_cls: 5.0276, loss: 5.0276 2025-04-30 19:00:56,011 - pyskl - INFO - Epoch [97][800/1027] lr: 6.994e-03, eta: 7:19:16, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.7562, top5_acc: 0.9394, loss_cls: 5.0045, loss: 5.0045 2025-04-30 19:01:43,893 - pyskl - INFO - Epoch [97][900/1027] lr: 6.971e-03, eta: 7:18:28, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.7806, top5_acc: 0.9463, loss_cls: 4.9885, loss: 4.9885 2025-04-30 19:02:32,474 - pyskl - INFO - Epoch [97][1000/1027] lr: 6.948e-03, eta: 7:17:40, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.7562, top5_acc: 0.9313, loss_cls: 5.0217, loss: 5.0217 2025-04-30 19:02:46,530 - pyskl - INFO - Saving checkpoint at 97 epochs 2025-04-30 19:03:26,838 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 19:03:26,910 - pyskl - INFO - top1_acc 0.5737 top5_acc 0.8382 2025-04-30 19:03:26,910 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 19:03:26,918 - pyskl - INFO - mean_acc 0.5724 2025-04-30 19:03:26,919 - pyskl - INFO - Epoch(val) [97][413] top1_acc: 0.5737, top5_acc: 0.8382, mean_class_accuracy: 0.5724 2025-04-30 19:04:31,707 - pyskl - INFO - Epoch [98][100/1027] lr: 6.919e-03, eta: 7:16:41, time: 0.648, data_time: 0.263, memory: 7959, top1_acc: 0.8075, top5_acc: 0.9581, loss_cls: 4.7657, loss: 4.7657 2025-04-30 19:05:16,117 - pyskl - INFO - Epoch [98][200/1027] lr: 6.897e-03, eta: 7:15:50, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.8100, top5_acc: 0.9525, loss_cls: 4.8164, loss: 4.8164 2025-04-30 19:06:02,501 - pyskl - INFO - Epoch [98][300/1027] lr: 6.874e-03, eta: 7:15:01, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.7863, top5_acc: 0.9469, loss_cls: 4.7845, loss: 4.7845 2025-04-30 19:06:50,305 - pyskl - INFO - Epoch [98][400/1027] lr: 6.851e-03, eta: 7:14:13, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.8087, top5_acc: 0.9537, loss_cls: 4.9641, loss: 4.9641 2025-04-30 19:07:37,777 - pyskl - INFO - Epoch [98][500/1027] lr: 6.828e-03, eta: 7:13:24, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.7744, top5_acc: 0.9375, loss_cls: 4.9550, loss: 4.9550 2025-04-30 19:08:25,928 - pyskl - INFO - Epoch [98][600/1027] lr: 6.806e-03, eta: 7:12:36, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.7831, top5_acc: 0.9487, loss_cls: 4.9576, loss: 4.9576 2025-04-30 19:09:14,421 - pyskl - INFO - Epoch [98][700/1027] lr: 6.783e-03, eta: 7:11:48, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.7731, top5_acc: 0.9375, loss_cls: 5.0817, loss: 5.0817 2025-04-30 19:10:02,447 - pyskl - INFO - Epoch [98][800/1027] lr: 6.760e-03, eta: 7:10:59, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.7644, top5_acc: 0.9525, loss_cls: 4.9429, loss: 4.9429 2025-04-30 19:10:50,149 - pyskl - INFO - Epoch [98][900/1027] lr: 6.738e-03, eta: 7:10:11, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.7625, top5_acc: 0.9406, loss_cls: 4.9870, loss: 4.9870 2025-04-30 19:11:38,017 - pyskl - INFO - Epoch [98][1000/1027] lr: 6.715e-03, eta: 7:09:22, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.7631, top5_acc: 0.9400, loss_cls: 4.9499, loss: 4.9499 2025-04-30 19:11:52,290 - pyskl - INFO - Saving checkpoint at 98 epochs 2025-04-30 19:12:32,969 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 19:12:33,042 - pyskl - INFO - top1_acc 0.5834 top5_acc 0.8483 2025-04-30 19:12:33,042 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 19:12:33,049 - pyskl - INFO - mean_acc 0.5840 2025-04-30 19:12:33,115 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_89.pth was removed 2025-04-30 19:12:34,884 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. 2025-04-30 19:12:34,885 - pyskl - INFO - Best top1_acc is 0.5834 at 98 epoch. 2025-04-30 19:12:34,888 - pyskl - INFO - Epoch(val) [98][413] top1_acc: 0.5834, top5_acc: 0.8483, mean_class_accuracy: 0.5840 2025-04-30 19:13:39,483 - pyskl - INFO - Epoch [99][100/1027] lr: 6.686e-03, eta: 7:08:23, time: 0.646, data_time: 0.256, memory: 7959, top1_acc: 0.8369, top5_acc: 0.9637, loss_cls: 4.7156, loss: 4.7156 2025-04-30 19:14:23,731 - pyskl - INFO - Epoch [99][200/1027] lr: 6.664e-03, eta: 7:07:33, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.7994, top5_acc: 0.9575, loss_cls: 4.7195, loss: 4.7195 2025-04-30 19:15:10,192 - pyskl - INFO - Epoch [99][300/1027] lr: 6.641e-03, eta: 7:06:44, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.8113, top5_acc: 0.9475, loss_cls: 4.8441, loss: 4.8441 2025-04-30 19:15:59,222 - pyskl - INFO - Epoch [99][400/1027] lr: 6.619e-03, eta: 7:05:56, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.8037, top5_acc: 0.9613, loss_cls: 4.7167, loss: 4.7167 2025-04-30 19:16:47,700 - pyskl - INFO - Epoch [99][500/1027] lr: 6.596e-03, eta: 7:05:08, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.7806, top5_acc: 0.9475, loss_cls: 4.9846, loss: 4.9846 2025-04-30 19:17:35,800 - pyskl - INFO - Epoch [99][600/1027] lr: 6.574e-03, eta: 7:04:19, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.8013, top5_acc: 0.9487, loss_cls: 4.7969, loss: 4.7969 2025-04-30 19:18:24,471 - pyskl - INFO - Epoch [99][700/1027] lr: 6.551e-03, eta: 7:03:31, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.7863, top5_acc: 0.9444, loss_cls: 4.9697, loss: 4.9697 2025-04-30 19:19:12,679 - pyskl - INFO - Epoch [99][800/1027] lr: 6.529e-03, eta: 7:02:43, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.7850, top5_acc: 0.9525, loss_cls: 4.8383, loss: 4.8383 2025-04-30 19:20:00,657 - pyskl - INFO - Epoch [99][900/1027] lr: 6.507e-03, eta: 7:01:55, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.7812, top5_acc: 0.9494, loss_cls: 4.9482, loss: 4.9482 2025-04-30 19:20:48,969 - pyskl - INFO - Epoch [99][1000/1027] lr: 6.484e-03, eta: 7:01:07, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.7662, top5_acc: 0.9413, loss_cls: 4.9089, loss: 4.9089 2025-04-30 19:21:02,798 - pyskl - INFO - Saving checkpoint at 99 epochs 2025-04-30 19:21:43,668 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 19:21:43,743 - pyskl - INFO - top1_acc 0.5639 top5_acc 0.8339 2025-04-30 19:21:43,743 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 19:21:43,755 - pyskl - INFO - mean_acc 0.5651 2025-04-30 19:21:43,759 - pyskl - INFO - Epoch(val) [99][413] top1_acc: 0.5639, top5_acc: 0.8339, mean_class_accuracy: 0.5651 2025-04-30 19:22:50,222 - pyskl - INFO - Epoch [100][100/1027] lr: 6.456e-03, eta: 7:00:08, time: 0.665, data_time: 0.268, memory: 7959, top1_acc: 0.8237, top5_acc: 0.9619, loss_cls: 4.7226, loss: 4.7226 2025-04-30 19:23:36,572 - pyskl - INFO - Epoch [100][200/1027] lr: 6.434e-03, eta: 6:59:19, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.8300, top5_acc: 0.9587, loss_cls: 4.7018, loss: 4.7018 2025-04-30 19:24:25,581 - pyskl - INFO - Epoch [100][300/1027] lr: 6.411e-03, eta: 6:58:31, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.8275, top5_acc: 0.9663, loss_cls: 4.5341, loss: 4.5341 2025-04-30 19:25:15,681 - pyskl - INFO - Epoch [100][400/1027] lr: 6.389e-03, eta: 6:57:44, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.8063, top5_acc: 0.9675, loss_cls: 4.6676, loss: 4.6676 2025-04-30 19:26:05,552 - pyskl - INFO - Epoch [100][500/1027] lr: 6.367e-03, eta: 6:56:56, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.8106, top5_acc: 0.9563, loss_cls: 4.8593, loss: 4.8593 2025-04-30 19:26:55,255 - pyskl - INFO - Epoch [100][600/1027] lr: 6.345e-03, eta: 6:56:09, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.8056, top5_acc: 0.9537, loss_cls: 4.7431, loss: 4.7431 2025-04-30 19:27:44,421 - pyskl - INFO - Epoch [100][700/1027] lr: 6.323e-03, eta: 6:55:21, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.7750, top5_acc: 0.9400, loss_cls: 5.0688, loss: 5.0688 2025-04-30 19:28:31,995 - pyskl - INFO - Epoch [100][800/1027] lr: 6.300e-03, eta: 6:54:33, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.7744, top5_acc: 0.9556, loss_cls: 4.7514, loss: 4.7514 2025-04-30 19:29:20,887 - pyskl - INFO - Epoch [100][900/1027] lr: 6.278e-03, eta: 6:53:45, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.7950, top5_acc: 0.9513, loss_cls: 4.8550, loss: 4.8550 2025-04-30 19:30:09,495 - pyskl - INFO - Epoch [100][1000/1027] lr: 6.256e-03, eta: 6:52:57, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.7825, top5_acc: 0.9487, loss_cls: 4.8456, loss: 4.8456 2025-04-30 19:30:23,696 - pyskl - INFO - Saving checkpoint at 100 epochs 2025-04-30 19:31:04,469 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 19:31:04,542 - pyskl - INFO - top1_acc 0.5681 top5_acc 0.8348 2025-04-30 19:31:04,543 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 19:31:04,550 - pyskl - INFO - mean_acc 0.5689 2025-04-30 19:31:04,551 - pyskl - INFO - Epoch(val) [100][413] top1_acc: 0.5681, top5_acc: 0.8348, mean_class_accuracy: 0.5689 2025-04-30 19:32:11,644 - pyskl - INFO - Epoch [101][100/1027] lr: 6.228e-03, eta: 6:51:58, time: 0.671, data_time: 0.261, memory: 7959, top1_acc: 0.8488, top5_acc: 0.9600, loss_cls: 4.7227, loss: 4.7227 2025-04-30 19:32:59,594 - pyskl - INFO - Epoch [101][200/1027] lr: 6.206e-03, eta: 6:51:10, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.8381, top5_acc: 0.9650, loss_cls: 4.6531, loss: 4.6531 2025-04-30 19:33:50,304 - pyskl - INFO - Epoch [101][300/1027] lr: 6.184e-03, eta: 6:50:23, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.8419, top5_acc: 0.9631, loss_cls: 4.5927, loss: 4.5927 2025-04-30 19:34:41,985 - pyskl - INFO - Epoch [101][400/1027] lr: 6.162e-03, eta: 6:49:37, time: 0.517, data_time: 0.000, memory: 7959, top1_acc: 0.8181, top5_acc: 0.9700, loss_cls: 4.6667, loss: 4.6667 2025-04-30 19:35:34,380 - pyskl - INFO - Epoch [101][500/1027] lr: 6.140e-03, eta: 6:48:50, time: 0.524, data_time: 0.000, memory: 7959, top1_acc: 0.8063, top5_acc: 0.9569, loss_cls: 4.8159, loss: 4.8159 2025-04-30 19:36:26,339 - pyskl - INFO - Epoch [101][600/1027] lr: 6.118e-03, eta: 6:48:04, time: 0.520, data_time: 0.000, memory: 7959, top1_acc: 0.8175, top5_acc: 0.9637, loss_cls: 4.5879, loss: 4.5879 2025-04-30 19:37:16,880 - pyskl - INFO - Epoch [101][700/1027] lr: 6.096e-03, eta: 6:47:17, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.8131, top5_acc: 0.9544, loss_cls: 4.7334, loss: 4.7334 2025-04-30 19:38:06,170 - pyskl - INFO - Epoch [101][800/1027] lr: 6.074e-03, eta: 6:46:29, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.8031, top5_acc: 0.9569, loss_cls: 4.6919, loss: 4.6919 2025-04-30 19:38:54,930 - pyskl - INFO - Epoch [101][900/1027] lr: 6.053e-03, eta: 6:45:41, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.7875, top5_acc: 0.9506, loss_cls: 4.9718, loss: 4.9718 2025-04-30 19:39:42,614 - pyskl - INFO - Epoch [101][1000/1027] lr: 6.031e-03, eta: 6:44:53, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.8037, top5_acc: 0.9537, loss_cls: 4.8112, loss: 4.8112 2025-04-30 19:39:56,566 - pyskl - INFO - Saving checkpoint at 101 epochs 2025-04-30 19:40:37,043 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 19:40:37,116 - pyskl - INFO - top1_acc 0.5587 top5_acc 0.8288 2025-04-30 19:40:37,116 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 19:40:37,124 - pyskl - INFO - mean_acc 0.5585 2025-04-30 19:40:37,126 - pyskl - INFO - Epoch(val) [101][413] top1_acc: 0.5587, top5_acc: 0.8288, mean_class_accuracy: 0.5585 2025-04-30 19:41:42,796 - pyskl - INFO - Epoch [102][100/1027] lr: 6.003e-03, eta: 6:43:53, time: 0.657, data_time: 0.265, memory: 7959, top1_acc: 0.8575, top5_acc: 0.9675, loss_cls: 4.4078, loss: 4.4078 2025-04-30 19:42:27,954 - pyskl - INFO - Epoch [102][200/1027] lr: 5.981e-03, eta: 6:43:04, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.8619, top5_acc: 0.9756, loss_cls: 4.6022, loss: 4.6022 2025-04-30 19:43:14,859 - pyskl - INFO - Epoch [102][300/1027] lr: 5.960e-03, eta: 6:42:15, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.8519, top5_acc: 0.9694, loss_cls: 4.6243, loss: 4.6243 2025-04-30 19:44:01,954 - pyskl - INFO - Epoch [102][400/1027] lr: 5.938e-03, eta: 6:41:26, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.8250, top5_acc: 0.9594, loss_cls: 4.6762, loss: 4.6762 2025-04-30 19:44:50,043 - pyskl - INFO - Epoch [102][500/1027] lr: 5.916e-03, eta: 6:40:38, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.8325, top5_acc: 0.9656, loss_cls: 4.6423, loss: 4.6423 2025-04-30 19:45:37,271 - pyskl - INFO - Epoch [102][600/1027] lr: 5.895e-03, eta: 6:39:49, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.8225, top5_acc: 0.9625, loss_cls: 4.6659, loss: 4.6659 2025-04-30 19:46:25,560 - pyskl - INFO - Epoch [102][700/1027] lr: 5.873e-03, eta: 6:39:01, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.8144, top5_acc: 0.9600, loss_cls: 4.7530, loss: 4.7530 2025-04-30 19:47:13,816 - pyskl - INFO - Epoch [102][800/1027] lr: 5.851e-03, eta: 6:38:12, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.7981, top5_acc: 0.9575, loss_cls: 4.7684, loss: 4.7684 2025-04-30 19:48:02,178 - pyskl - INFO - Epoch [102][900/1027] lr: 5.830e-03, eta: 6:37:24, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.7837, top5_acc: 0.9394, loss_cls: 4.9343, loss: 4.9343 2025-04-30 19:48:50,163 - pyskl - INFO - Epoch [102][1000/1027] lr: 5.808e-03, eta: 6:36:36, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.8006, top5_acc: 0.9544, loss_cls: 4.7728, loss: 4.7728 2025-04-30 19:49:03,848 - pyskl - INFO - Saving checkpoint at 102 epochs 2025-04-30 19:49:44,601 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 19:49:44,678 - pyskl - INFO - top1_acc 0.5543 top5_acc 0.8257 2025-04-30 19:49:44,678 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 19:49:44,686 - pyskl - INFO - mean_acc 0.5507 2025-04-30 19:49:44,691 - pyskl - INFO - Epoch(val) [102][413] top1_acc: 0.5543, top5_acc: 0.8257, mean_class_accuracy: 0.5507 2025-04-30 19:50:49,121 - pyskl - INFO - Epoch [103][100/1027] lr: 5.781e-03, eta: 6:35:36, time: 0.644, data_time: 0.259, memory: 7959, top1_acc: 0.8569, top5_acc: 0.9706, loss_cls: 4.3954, loss: 4.3954 2025-04-30 19:51:34,587 - pyskl - INFO - Epoch [103][200/1027] lr: 5.759e-03, eta: 6:34:46, time: 0.455, data_time: 0.000, memory: 7959, top1_acc: 0.8644, top5_acc: 0.9719, loss_cls: 4.5671, loss: 4.5671 2025-04-30 19:52:21,308 - pyskl - INFO - Epoch [103][300/1027] lr: 5.738e-03, eta: 6:33:58, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.8569, top5_acc: 0.9731, loss_cls: 4.4846, loss: 4.4846 2025-04-30 19:53:07,871 - pyskl - INFO - Epoch [103][400/1027] lr: 5.717e-03, eta: 6:33:09, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.8581, top5_acc: 0.9681, loss_cls: 4.5036, loss: 4.5036 2025-04-30 19:53:56,525 - pyskl - INFO - Epoch [103][500/1027] lr: 5.695e-03, eta: 6:32:20, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.8456, top5_acc: 0.9700, loss_cls: 4.6240, loss: 4.6240 2025-04-30 19:54:44,242 - pyskl - INFO - Epoch [103][600/1027] lr: 5.674e-03, eta: 6:31:32, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.8319, top5_acc: 0.9719, loss_cls: 4.6128, loss: 4.6128 2025-04-30 19:55:32,305 - pyskl - INFO - Epoch [103][700/1027] lr: 5.652e-03, eta: 6:30:44, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.8325, top5_acc: 0.9675, loss_cls: 4.6118, loss: 4.6118 2025-04-30 19:56:19,630 - pyskl - INFO - Epoch [103][800/1027] lr: 5.631e-03, eta: 6:29:55, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.8187, top5_acc: 0.9631, loss_cls: 4.7177, loss: 4.7177 2025-04-30 19:57:07,228 - pyskl - INFO - Epoch [103][900/1027] lr: 5.610e-03, eta: 6:29:06, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.8044, top5_acc: 0.9519, loss_cls: 4.8308, loss: 4.8308 2025-04-30 19:57:56,130 - pyskl - INFO - Epoch [103][1000/1027] lr: 5.589e-03, eta: 6:28:18, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.7969, top5_acc: 0.9506, loss_cls: 4.7504, loss: 4.7504 2025-04-30 19:58:10,141 - pyskl - INFO - Saving checkpoint at 103 epochs 2025-04-30 19:58:50,356 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 19:58:50,429 - pyskl - INFO - top1_acc 0.5784 top5_acc 0.8427 2025-04-30 19:58:50,429 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 19:58:50,436 - pyskl - INFO - mean_acc 0.5787 2025-04-30 19:58:50,437 - pyskl - INFO - Epoch(val) [103][413] top1_acc: 0.5784, top5_acc: 0.8427, mean_class_accuracy: 0.5787 2025-04-30 19:59:54,994 - pyskl - INFO - Epoch [104][100/1027] lr: 5.562e-03, eta: 6:27:19, time: 0.646, data_time: 0.257, memory: 7959, top1_acc: 0.8706, top5_acc: 0.9794, loss_cls: 4.3845, loss: 4.3845 2025-04-30 20:00:39,928 - pyskl - INFO - Epoch [104][200/1027] lr: 5.540e-03, eta: 6:26:29, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.8556, top5_acc: 0.9725, loss_cls: 4.5093, loss: 4.5093 2025-04-30 20:01:25,958 - pyskl - INFO - Epoch [104][300/1027] lr: 5.519e-03, eta: 6:25:40, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.8631, top5_acc: 0.9775, loss_cls: 4.5384, loss: 4.5384 2025-04-30 20:02:13,388 - pyskl - INFO - Epoch [104][400/1027] lr: 5.498e-03, eta: 6:24:51, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.8662, top5_acc: 0.9725, loss_cls: 4.4392, loss: 4.4392 2025-04-30 20:03:01,302 - pyskl - INFO - Epoch [104][500/1027] lr: 5.477e-03, eta: 6:24:03, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.8500, top5_acc: 0.9681, loss_cls: 4.3951, loss: 4.3951 2025-04-30 20:03:48,900 - pyskl - INFO - Epoch [104][600/1027] lr: 5.456e-03, eta: 6:23:14, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.8237, top5_acc: 0.9637, loss_cls: 4.7856, loss: 4.7856 2025-04-30 20:04:36,376 - pyskl - INFO - Epoch [104][700/1027] lr: 5.435e-03, eta: 6:22:26, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.8250, top5_acc: 0.9663, loss_cls: 4.5868, loss: 4.5868 2025-04-30 20:05:24,957 - pyskl - INFO - Epoch [104][800/1027] lr: 5.414e-03, eta: 6:21:38, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.8525, top5_acc: 0.9731, loss_cls: 4.5568, loss: 4.5568 2025-04-30 20:06:12,808 - pyskl - INFO - Epoch [104][900/1027] lr: 5.393e-03, eta: 6:20:49, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.8200, top5_acc: 0.9663, loss_cls: 4.6286, loss: 4.6286 2025-04-30 20:07:01,054 - pyskl - INFO - Epoch [104][1000/1027] lr: 5.372e-03, eta: 6:20:01, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.8256, top5_acc: 0.9681, loss_cls: 4.6379, loss: 4.6379 2025-04-30 20:07:14,963 - pyskl - INFO - Saving checkpoint at 104 epochs 2025-04-30 20:07:55,125 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 20:07:55,201 - pyskl - INFO - top1_acc 0.5698 top5_acc 0.8388 2025-04-30 20:07:55,201 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 20:07:55,209 - pyskl - INFO - mean_acc 0.5706 2025-04-30 20:07:55,211 - pyskl - INFO - Epoch(val) [104][413] top1_acc: 0.5698, top5_acc: 0.8388, mean_class_accuracy: 0.5706 2025-04-30 20:08:59,315 - pyskl - INFO - Epoch [105][100/1027] lr: 5.345e-03, eta: 6:19:01, time: 0.641, data_time: 0.258, memory: 7959, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 4.3776, loss: 4.3776 2025-04-30 20:09:44,107 - pyskl - INFO - Epoch [105][200/1027] lr: 5.324e-03, eta: 6:18:11, time: 0.448, data_time: 0.000, memory: 7959, top1_acc: 0.8838, top5_acc: 0.9819, loss_cls: 4.3974, loss: 4.3974 2025-04-30 20:10:31,071 - pyskl - INFO - Epoch [105][300/1027] lr: 5.304e-03, eta: 6:17:22, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.8675, top5_acc: 0.9812, loss_cls: 4.4070, loss: 4.4070 2025-04-30 20:11:18,798 - pyskl - INFO - Epoch [105][400/1027] lr: 5.283e-03, eta: 6:16:34, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.8562, top5_acc: 0.9794, loss_cls: 4.4330, loss: 4.4330 2025-04-30 20:12:07,591 - pyskl - INFO - Epoch [105][500/1027] lr: 5.262e-03, eta: 6:15:46, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.8744, top5_acc: 0.9794, loss_cls: 4.4404, loss: 4.4404 2025-04-30 20:12:54,312 - pyskl - INFO - Epoch [105][600/1027] lr: 5.241e-03, eta: 6:14:57, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.8406, top5_acc: 0.9688, loss_cls: 4.6038, loss: 4.6038 2025-04-30 20:13:42,247 - pyskl - INFO - Epoch [105][700/1027] lr: 5.220e-03, eta: 6:14:09, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.8400, top5_acc: 0.9650, loss_cls: 4.5433, loss: 4.5433 2025-04-30 20:14:30,467 - pyskl - INFO - Epoch [105][800/1027] lr: 5.200e-03, eta: 6:13:20, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.8444, top5_acc: 0.9688, loss_cls: 4.4393, loss: 4.4393 2025-04-30 20:15:19,402 - pyskl - INFO - Epoch [105][900/1027] lr: 5.179e-03, eta: 6:12:32, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.8425, top5_acc: 0.9725, loss_cls: 4.5331, loss: 4.5331 2025-04-30 20:16:07,229 - pyskl - INFO - Epoch [105][1000/1027] lr: 5.158e-03, eta: 6:11:44, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.8519, top5_acc: 0.9669, loss_cls: 4.6185, loss: 4.6185 2025-04-30 20:16:20,966 - pyskl - INFO - Saving checkpoint at 105 epochs 2025-04-30 20:17:01,643 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 20:17:01,716 - pyskl - INFO - top1_acc 0.5872 top5_acc 0.8388 2025-04-30 20:17:01,716 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 20:17:01,724 - pyskl - INFO - mean_acc 0.5845 2025-04-30 20:17:01,788 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_98.pth was removed 2025-04-30 20:17:03,404 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. 2025-04-30 20:17:03,405 - pyskl - INFO - Best top1_acc is 0.5872 at 105 epoch. 2025-04-30 20:17:03,408 - pyskl - INFO - Epoch(val) [105][413] top1_acc: 0.5872, top5_acc: 0.8388, mean_class_accuracy: 0.5845 2025-04-30 20:18:07,438 - pyskl - INFO - Epoch [106][100/1027] lr: 5.132e-03, eta: 6:10:44, time: 0.640, data_time: 0.256, memory: 7959, top1_acc: 0.8850, top5_acc: 0.9844, loss_cls: 4.1999, loss: 4.1999 2025-04-30 20:18:51,951 - pyskl - INFO - Epoch [106][200/1027] lr: 5.112e-03, eta: 6:09:54, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.8825, top5_acc: 0.9812, loss_cls: 4.3239, loss: 4.3239 2025-04-30 20:19:39,350 - pyskl - INFO - Epoch [106][300/1027] lr: 5.091e-03, eta: 6:09:06, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.8838, top5_acc: 0.9844, loss_cls: 4.3720, loss: 4.3720 2025-04-30 20:20:27,310 - pyskl - INFO - Epoch [106][400/1027] lr: 5.071e-03, eta: 6:08:17, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.8775, top5_acc: 0.9769, loss_cls: 4.3233, loss: 4.3233 2025-04-30 20:21:16,351 - pyskl - INFO - Epoch [106][500/1027] lr: 5.050e-03, eta: 6:07:29, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.8525, top5_acc: 0.9725, loss_cls: 4.4892, loss: 4.4892 2025-04-30 20:22:06,835 - pyskl - INFO - Epoch [106][600/1027] lr: 5.030e-03, eta: 6:06:42, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 4.5145, loss: 4.5145 2025-04-30 20:22:56,305 - pyskl - INFO - Epoch [106][700/1027] lr: 5.009e-03, eta: 6:05:54, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.8531, top5_acc: 0.9731, loss_cls: 4.4243, loss: 4.4243 2025-04-30 20:23:46,628 - pyskl - INFO - Epoch [106][800/1027] lr: 4.989e-03, eta: 6:05:07, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.8438, top5_acc: 0.9750, loss_cls: 4.4419, loss: 4.4419 2025-04-30 20:24:36,777 - pyskl - INFO - Epoch [106][900/1027] lr: 4.969e-03, eta: 6:04:20, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.8669, top5_acc: 0.9756, loss_cls: 4.4830, loss: 4.4830 2025-04-30 20:25:25,754 - pyskl - INFO - Epoch [106][1000/1027] lr: 4.948e-03, eta: 6:03:32, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.8581, top5_acc: 0.9719, loss_cls: 4.5280, loss: 4.5280 2025-04-30 20:25:39,262 - pyskl - INFO - Saving checkpoint at 106 epochs 2025-04-30 20:26:19,623 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 20:26:19,695 - pyskl - INFO - top1_acc 0.5736 top5_acc 0.8345 2025-04-30 20:26:19,695 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 20:26:19,703 - pyskl - INFO - mean_acc 0.5760 2025-04-30 20:26:19,705 - pyskl - INFO - Epoch(val) [106][413] top1_acc: 0.5736, top5_acc: 0.8345, mean_class_accuracy: 0.5760 2025-04-30 20:27:23,921 - pyskl - INFO - Epoch [107][100/1027] lr: 4.922e-03, eta: 6:02:32, time: 0.642, data_time: 0.253, memory: 7959, top1_acc: 0.8962, top5_acc: 0.9819, loss_cls: 4.1941, loss: 4.1941 2025-04-30 20:28:09,062 - pyskl - INFO - Epoch [107][200/1027] lr: 4.902e-03, eta: 6:01:42, time: 0.451, data_time: 0.000, memory: 7959, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 4.2290, loss: 4.2290 2025-04-30 20:28:56,629 - pyskl - INFO - Epoch [107][300/1027] lr: 4.882e-03, eta: 6:00:53, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9031, top5_acc: 0.9856, loss_cls: 4.1733, loss: 4.1733 2025-04-30 20:29:43,658 - pyskl - INFO - Epoch [107][400/1027] lr: 4.862e-03, eta: 6:00:05, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.8875, top5_acc: 0.9769, loss_cls: 4.4002, loss: 4.4002 2025-04-30 20:30:32,087 - pyskl - INFO - Epoch [107][500/1027] lr: 4.842e-03, eta: 5:59:17, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.8681, top5_acc: 0.9812, loss_cls: 4.4242, loss: 4.4242 2025-04-30 20:31:22,593 - pyskl - INFO - Epoch [107][600/1027] lr: 4.821e-03, eta: 5:58:29, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.8831, top5_acc: 0.9850, loss_cls: 4.2202, loss: 4.2202 2025-04-30 20:32:12,746 - pyskl - INFO - Epoch [107][700/1027] lr: 4.801e-03, eta: 5:57:42, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.8700, top5_acc: 0.9812, loss_cls: 4.4062, loss: 4.4062 2025-04-30 20:33:03,334 - pyskl - INFO - Epoch [107][800/1027] lr: 4.781e-03, eta: 5:56:55, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.8781, top5_acc: 0.9794, loss_cls: 4.4167, loss: 4.4167 2025-04-30 20:33:53,921 - pyskl - INFO - Epoch [107][900/1027] lr: 4.761e-03, eta: 5:56:07, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.8775, top5_acc: 0.9738, loss_cls: 4.3569, loss: 4.3569 2025-04-30 20:34:44,914 - pyskl - INFO - Epoch [107][1000/1027] lr: 4.741e-03, eta: 5:55:20, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.8519, top5_acc: 0.9744, loss_cls: 4.4767, loss: 4.4767 2025-04-30 20:34:59,496 - pyskl - INFO - Saving checkpoint at 107 epochs 2025-04-30 20:35:40,639 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 20:35:40,712 - pyskl - INFO - top1_acc 0.5752 top5_acc 0.8372 2025-04-30 20:35:40,712 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 20:35:40,719 - pyskl - INFO - mean_acc 0.5752 2025-04-30 20:35:40,721 - pyskl - INFO - Epoch(val) [107][413] top1_acc: 0.5752, top5_acc: 0.8372, mean_class_accuracy: 0.5752 2025-04-30 20:36:46,865 - pyskl - INFO - Epoch [108][100/1027] lr: 4.716e-03, eta: 5:54:21, time: 0.661, data_time: 0.261, memory: 7959, top1_acc: 0.9125, top5_acc: 0.9838, loss_cls: 4.0286, loss: 4.0286 2025-04-30 20:37:33,035 - pyskl - INFO - Epoch [108][200/1027] lr: 4.696e-03, eta: 5:53:32, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 4.2122, loss: 4.2122 2025-04-30 20:38:21,823 - pyskl - INFO - Epoch [108][300/1027] lr: 4.676e-03, eta: 5:52:44, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.9000, top5_acc: 0.9838, loss_cls: 4.1610, loss: 4.1610 2025-04-30 20:39:12,124 - pyskl - INFO - Epoch [108][400/1027] lr: 4.656e-03, eta: 5:51:56, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 4.2289, loss: 4.2289 2025-04-30 20:40:02,678 - pyskl - INFO - Epoch [108][500/1027] lr: 4.636e-03, eta: 5:51:09, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 4.0613, loss: 4.0613 2025-04-30 20:40:51,748 - pyskl - INFO - Epoch [108][600/1027] lr: 4.617e-03, eta: 5:50:21, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.8838, top5_acc: 0.9825, loss_cls: 4.3564, loss: 4.3564 2025-04-30 20:41:40,596 - pyskl - INFO - Epoch [108][700/1027] lr: 4.597e-03, eta: 5:49:33, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.8794, top5_acc: 0.9812, loss_cls: 4.3133, loss: 4.3133 2025-04-30 20:42:29,716 - pyskl - INFO - Epoch [108][800/1027] lr: 4.577e-03, eta: 5:48:45, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.8850, top5_acc: 0.9844, loss_cls: 4.2434, loss: 4.2434 2025-04-30 20:43:18,070 - pyskl - INFO - Epoch [108][900/1027] lr: 4.557e-03, eta: 5:47:57, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.8631, top5_acc: 0.9738, loss_cls: 4.4417, loss: 4.4417 2025-04-30 20:44:06,681 - pyskl - INFO - Epoch [108][1000/1027] lr: 4.538e-03, eta: 5:47:09, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 4.4090, loss: 4.4090 2025-04-30 20:44:20,812 - pyskl - INFO - Saving checkpoint at 108 epochs 2025-04-30 20:45:01,137 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 20:45:01,210 - pyskl - INFO - top1_acc 0.5804 top5_acc 0.8354 2025-04-30 20:45:01,210 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 20:45:01,218 - pyskl - INFO - mean_acc 0.5821 2025-04-30 20:45:01,219 - pyskl - INFO - Epoch(val) [108][413] top1_acc: 0.5804, top5_acc: 0.8354, mean_class_accuracy: 0.5821 2025-04-30 20:46:05,679 - pyskl - INFO - Epoch [109][100/1027] lr: 4.513e-03, eta: 5:46:09, time: 0.645, data_time: 0.257, memory: 7959, top1_acc: 0.9044, top5_acc: 0.9856, loss_cls: 4.2067, loss: 4.2067 2025-04-30 20:46:49,769 - pyskl - INFO - Epoch [109][200/1027] lr: 4.493e-03, eta: 5:45:19, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 4.1938, loss: 4.1938 2025-04-30 20:47:37,135 - pyskl - INFO - Epoch [109][300/1027] lr: 4.474e-03, eta: 5:44:30, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 4.1135, loss: 4.1135 2025-04-30 20:48:25,116 - pyskl - INFO - Epoch [109][400/1027] lr: 4.454e-03, eta: 5:43:42, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.8975, top5_acc: 0.9856, loss_cls: 4.1779, loss: 4.1779 2025-04-30 20:49:13,353 - pyskl - INFO - Epoch [109][500/1027] lr: 4.435e-03, eta: 5:42:53, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 4.1871, loss: 4.1871 2025-04-30 20:50:00,352 - pyskl - INFO - Epoch [109][600/1027] lr: 4.415e-03, eta: 5:42:05, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.8975, top5_acc: 0.9825, loss_cls: 4.3665, loss: 4.3665 2025-04-30 20:50:49,091 - pyskl - INFO - Epoch [109][700/1027] lr: 4.396e-03, eta: 5:41:17, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 4.2598, loss: 4.2598 2025-04-30 20:51:37,682 - pyskl - INFO - Epoch [109][800/1027] lr: 4.376e-03, eta: 5:40:28, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 4.3097, loss: 4.3097 2025-04-30 20:52:25,989 - pyskl - INFO - Epoch [109][900/1027] lr: 4.357e-03, eta: 5:39:40, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.8856, top5_acc: 0.9738, loss_cls: 4.3302, loss: 4.3302 2025-04-30 20:53:14,051 - pyskl - INFO - Epoch [109][1000/1027] lr: 4.338e-03, eta: 5:38:52, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.8606, top5_acc: 0.9756, loss_cls: 4.2684, loss: 4.2684 2025-04-30 20:53:27,781 - pyskl - INFO - Saving checkpoint at 109 epochs 2025-04-30 20:54:08,070 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 20:54:08,151 - pyskl - INFO - top1_acc 0.5722 top5_acc 0.8342 2025-04-30 20:54:08,151 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 20:54:08,160 - pyskl - INFO - mean_acc 0.5715 2025-04-30 20:54:08,161 - pyskl - INFO - Epoch(val) [109][413] top1_acc: 0.5722, top5_acc: 0.8342, mean_class_accuracy: 0.5715 2025-04-30 20:55:13,284 - pyskl - INFO - Epoch [110][100/1027] lr: 4.313e-03, eta: 5:37:52, time: 0.651, data_time: 0.258, memory: 7959, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 4.0656, loss: 4.0656 2025-04-30 20:55:57,788 - pyskl - INFO - Epoch [110][200/1027] lr: 4.294e-03, eta: 5:37:02, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 4.0311, loss: 4.0311 2025-04-30 20:56:45,054 - pyskl - INFO - Epoch [110][300/1027] lr: 4.275e-03, eta: 5:36:14, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9169, top5_acc: 0.9900, loss_cls: 4.0349, loss: 4.0349 2025-04-30 20:57:32,661 - pyskl - INFO - Epoch [110][400/1027] lr: 4.256e-03, eta: 5:35:25, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9056, top5_acc: 0.9869, loss_cls: 4.2619, loss: 4.2619 2025-04-30 20:58:21,142 - pyskl - INFO - Epoch [110][500/1027] lr: 4.236e-03, eta: 5:34:37, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9131, top5_acc: 0.9850, loss_cls: 4.1420, loss: 4.1420 2025-04-30 20:59:09,332 - pyskl - INFO - Epoch [110][600/1027] lr: 4.217e-03, eta: 5:33:49, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 4.0740, loss: 4.0740 2025-04-30 20:59:56,643 - pyskl - INFO - Epoch [110][700/1027] lr: 4.198e-03, eta: 5:33:00, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9031, top5_acc: 0.9856, loss_cls: 4.2412, loss: 4.2412 2025-04-30 21:00:44,790 - pyskl - INFO - Epoch [110][800/1027] lr: 4.179e-03, eta: 5:32:12, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9012, top5_acc: 0.9819, loss_cls: 4.2545, loss: 4.2545 2025-04-30 21:01:33,335 - pyskl - INFO - Epoch [110][900/1027] lr: 4.160e-03, eta: 5:31:24, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.8981, top5_acc: 0.9862, loss_cls: 4.1576, loss: 4.1576 2025-04-30 21:02:21,156 - pyskl - INFO - Epoch [110][1000/1027] lr: 4.141e-03, eta: 5:30:35, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.8888, top5_acc: 0.9825, loss_cls: 4.2836, loss: 4.2836 2025-04-30 21:02:35,087 - pyskl - INFO - Saving checkpoint at 110 epochs 2025-04-30 21:03:15,648 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 21:03:15,722 - pyskl - INFO - top1_acc 0.5883 top5_acc 0.8466 2025-04-30 21:03:15,722 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 21:03:15,730 - pyskl - INFO - mean_acc 0.5891 2025-04-30 21:03:15,794 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_105.pth was removed 2025-04-30 21:03:17,432 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. 2025-04-30 21:03:17,434 - pyskl - INFO - Best top1_acc is 0.5883 at 110 epoch. 2025-04-30 21:03:17,438 - pyskl - INFO - Epoch(val) [110][413] top1_acc: 0.5883, top5_acc: 0.8466, mean_class_accuracy: 0.5891 2025-04-30 21:04:21,715 - pyskl - INFO - Epoch [111][100/1027] lr: 4.117e-03, eta: 5:29:35, time: 0.643, data_time: 0.254, memory: 7959, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 4.0947, loss: 4.0947 2025-04-30 21:05:06,614 - pyskl - INFO - Epoch [111][200/1027] lr: 4.098e-03, eta: 5:28:46, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.9356, top5_acc: 0.9906, loss_cls: 3.9854, loss: 3.9854 2025-04-30 21:05:54,230 - pyskl - INFO - Epoch [111][300/1027] lr: 4.079e-03, eta: 5:27:57, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 4.0370, loss: 4.0370 2025-04-30 21:06:42,108 - pyskl - INFO - Epoch [111][400/1027] lr: 4.061e-03, eta: 5:27:09, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.9431, top5_acc: 0.9925, loss_cls: 3.9430, loss: 3.9430 2025-04-30 21:07:30,242 - pyskl - INFO - Epoch [111][500/1027] lr: 4.042e-03, eta: 5:26:21, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 4.0621, loss: 4.0621 2025-04-30 21:08:18,421 - pyskl - INFO - Epoch [111][600/1027] lr: 4.023e-03, eta: 5:25:32, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9056, top5_acc: 0.9862, loss_cls: 4.0702, loss: 4.0702 2025-04-30 21:09:06,791 - pyskl - INFO - Epoch [111][700/1027] lr: 4.004e-03, eta: 5:24:44, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 4.1740, loss: 4.1740 2025-04-30 21:09:55,079 - pyskl - INFO - Epoch [111][800/1027] lr: 3.986e-03, eta: 5:23:56, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9163, top5_acc: 0.9888, loss_cls: 4.2260, loss: 4.2260 2025-04-30 21:10:43,523 - pyskl - INFO - Epoch [111][900/1027] lr: 3.967e-03, eta: 5:23:08, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.9144, top5_acc: 0.9881, loss_cls: 4.0871, loss: 4.0871 2025-04-30 21:11:31,070 - pyskl - INFO - Epoch [111][1000/1027] lr: 3.948e-03, eta: 5:22:19, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.8994, top5_acc: 0.9912, loss_cls: 4.0828, loss: 4.0828 2025-04-30 21:11:44,942 - pyskl - INFO - Saving checkpoint at 111 epochs 2025-04-30 21:12:25,127 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 21:12:25,202 - pyskl - INFO - top1_acc 0.5855 top5_acc 0.8429 2025-04-30 21:12:25,202 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 21:12:25,212 - pyskl - INFO - mean_acc 0.5873 2025-04-30 21:12:25,214 - pyskl - INFO - Epoch(val) [111][413] top1_acc: 0.5855, top5_acc: 0.8429, mean_class_accuracy: 0.5873 2025-04-30 21:13:30,128 - pyskl - INFO - Epoch [112][100/1027] lr: 3.925e-03, eta: 5:21:19, time: 0.649, data_time: 0.260, memory: 7959, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 3.8178, loss: 3.8178 2025-04-30 21:14:14,916 - pyskl - INFO - Epoch [112][200/1027] lr: 3.906e-03, eta: 5:20:30, time: 0.448, data_time: 0.000, memory: 7959, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 3.9403, loss: 3.9403 2025-04-30 21:15:03,406 - pyskl - INFO - Epoch [112][300/1027] lr: 3.888e-03, eta: 5:19:41, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9419, top5_acc: 0.9931, loss_cls: 3.9453, loss: 3.9453 2025-04-30 21:15:51,792 - pyskl - INFO - Epoch [112][400/1027] lr: 3.869e-03, eta: 5:18:53, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 3.8244, loss: 3.8244 2025-04-30 21:16:40,798 - pyskl - INFO - Epoch [112][500/1027] lr: 3.851e-03, eta: 5:18:05, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 3.8536, loss: 3.8536 2025-04-30 21:17:29,250 - pyskl - INFO - Epoch [112][600/1027] lr: 3.832e-03, eta: 5:17:17, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9275, top5_acc: 0.9894, loss_cls: 4.1863, loss: 4.1863 2025-04-30 21:18:17,950 - pyskl - INFO - Epoch [112][700/1027] lr: 3.814e-03, eta: 5:16:29, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9256, top5_acc: 0.9912, loss_cls: 4.1319, loss: 4.1319 2025-04-30 21:19:05,814 - pyskl - INFO - Epoch [112][800/1027] lr: 3.796e-03, eta: 5:15:41, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 4.1037, loss: 4.1037 2025-04-30 21:19:54,392 - pyskl - INFO - Epoch [112][900/1027] lr: 3.778e-03, eta: 5:14:52, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 4.2030, loss: 4.2030 2025-04-30 21:20:44,126 - pyskl - INFO - Epoch [112][1000/1027] lr: 3.759e-03, eta: 5:14:05, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 4.0158, loss: 4.0158 2025-04-30 21:20:58,987 - pyskl - INFO - Saving checkpoint at 112 epochs 2025-04-30 21:21:40,903 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 21:21:40,977 - pyskl - INFO - top1_acc 0.5758 top5_acc 0.8338 2025-04-30 21:21:40,977 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 21:21:40,985 - pyskl - INFO - mean_acc 0.5732 2025-04-30 21:21:40,987 - pyskl - INFO - Epoch(val) [112][413] top1_acc: 0.5758, top5_acc: 0.8338, mean_class_accuracy: 0.5732 2025-04-30 21:22:47,688 - pyskl - INFO - Epoch [113][100/1027] lr: 3.736e-03, eta: 5:13:05, time: 0.667, data_time: 0.270, memory: 7959, top1_acc: 0.9406, top5_acc: 0.9981, loss_cls: 3.9464, loss: 3.9464 2025-04-30 21:23:33,793 - pyskl - INFO - Epoch [113][200/1027] lr: 3.718e-03, eta: 5:12:16, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 3.9134, loss: 3.9134 2025-04-30 21:24:21,797 - pyskl - INFO - Epoch [113][300/1027] lr: 3.700e-03, eta: 5:11:28, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 3.8768, loss: 3.8768 2025-04-30 21:25:10,292 - pyskl - INFO - Epoch [113][400/1027] lr: 3.682e-03, eta: 5:10:40, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 3.9659, loss: 3.9659 2025-04-30 21:25:58,959 - pyskl - INFO - Epoch [113][500/1027] lr: 3.664e-03, eta: 5:09:52, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9494, top5_acc: 0.9938, loss_cls: 3.9528, loss: 3.9528 2025-04-30 21:26:47,497 - pyskl - INFO - Epoch [113][600/1027] lr: 3.646e-03, eta: 5:09:03, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 3.9662, loss: 3.9662 2025-04-30 21:27:35,783 - pyskl - INFO - Epoch [113][700/1027] lr: 3.628e-03, eta: 5:08:15, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 3.9514, loss: 3.9514 2025-04-30 21:28:24,522 - pyskl - INFO - Epoch [113][800/1027] lr: 3.610e-03, eta: 5:07:27, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 3.9979, loss: 3.9979 2025-04-30 21:29:13,122 - pyskl - INFO - Epoch [113][900/1027] lr: 3.592e-03, eta: 5:06:39, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 3.9741, loss: 3.9741 2025-04-30 21:30:03,117 - pyskl - INFO - Epoch [113][1000/1027] lr: 3.574e-03, eta: 5:05:51, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.9225, top5_acc: 0.9894, loss_cls: 4.0795, loss: 4.0795 2025-04-30 21:30:18,388 - pyskl - INFO - Saving checkpoint at 113 epochs 2025-04-30 21:31:00,945 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 21:31:01,017 - pyskl - INFO - top1_acc 0.5849 top5_acc 0.8432 2025-04-30 21:31:01,017 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 21:31:01,025 - pyskl - INFO - mean_acc 0.5869 2025-04-30 21:31:01,026 - pyskl - INFO - Epoch(val) [113][413] top1_acc: 0.5849, top5_acc: 0.8432, mean_class_accuracy: 0.5869 2025-04-30 21:32:09,030 - pyskl - INFO - Epoch [114][100/1027] lr: 3.551e-03, eta: 5:04:52, time: 0.680, data_time: 0.269, memory: 7959, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 3.9518, loss: 3.9518 2025-04-30 21:32:56,459 - pyskl - INFO - Epoch [114][200/1027] lr: 3.534e-03, eta: 5:04:04, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9537, top5_acc: 0.9938, loss_cls: 3.8884, loss: 3.8884 2025-04-30 21:33:47,210 - pyskl - INFO - Epoch [114][300/1027] lr: 3.516e-03, eta: 5:03:16, time: 0.508, data_time: 0.000, memory: 7959, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 3.8354, loss: 3.8354 2025-04-30 21:34:38,220 - pyskl - INFO - Epoch [114][400/1027] lr: 3.498e-03, eta: 5:02:29, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 3.9790, loss: 3.9790 2025-04-30 21:35:28,501 - pyskl - INFO - Epoch [114][500/1027] lr: 3.481e-03, eta: 5:01:41, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.9450, top5_acc: 0.9925, loss_cls: 3.9354, loss: 3.9354 2025-04-30 21:36:18,300 - pyskl - INFO - Epoch [114][600/1027] lr: 3.463e-03, eta: 5:00:53, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 3.9662, loss: 3.9662 2025-04-30 21:37:09,042 - pyskl - INFO - Epoch [114][700/1027] lr: 3.445e-03, eta: 5:00:06, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.9375, top5_acc: 0.9919, loss_cls: 3.8618, loss: 3.8618 2025-04-30 21:37:58,592 - pyskl - INFO - Epoch [114][800/1027] lr: 3.428e-03, eta: 4:59:18, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 3.9280, loss: 3.9280 2025-04-30 21:38:47,849 - pyskl - INFO - Epoch [114][900/1027] lr: 3.410e-03, eta: 4:58:30, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.9531, top5_acc: 0.9906, loss_cls: 3.8212, loss: 3.8212 2025-04-30 21:39:37,160 - pyskl - INFO - Epoch [114][1000/1027] lr: 3.393e-03, eta: 4:57:42, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.9313, top5_acc: 0.9912, loss_cls: 4.0168, loss: 4.0168 2025-04-30 21:39:51,214 - pyskl - INFO - Saving checkpoint at 114 epochs 2025-04-30 21:40:31,976 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 21:40:32,051 - pyskl - INFO - top1_acc 0.5769 top5_acc 0.8377 2025-04-30 21:40:32,051 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 21:40:32,060 - pyskl - INFO - mean_acc 0.5821 2025-04-30 21:40:32,062 - pyskl - INFO - Epoch(val) [114][413] top1_acc: 0.5769, top5_acc: 0.8377, mean_class_accuracy: 0.5821 2025-04-30 21:41:37,840 - pyskl - INFO - Epoch [115][100/1027] lr: 3.371e-03, eta: 4:56:42, time: 0.658, data_time: 0.271, memory: 7959, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 3.6346, loss: 3.6346 2025-04-30 21:42:21,896 - pyskl - INFO - Epoch [115][200/1027] lr: 3.353e-03, eta: 4:55:53, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 3.7383, loss: 3.7383 2025-04-30 21:43:08,275 - pyskl - INFO - Epoch [115][300/1027] lr: 3.336e-03, eta: 4:55:04, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 3.7828, loss: 3.7828 2025-04-30 21:43:56,532 - pyskl - INFO - Epoch [115][400/1027] lr: 3.319e-03, eta: 4:54:15, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 3.8136, loss: 3.8136 2025-04-30 21:44:44,133 - pyskl - INFO - Epoch [115][500/1027] lr: 3.301e-03, eta: 4:53:27, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 3.7873, loss: 3.7873 2025-04-30 21:45:31,838 - pyskl - INFO - Epoch [115][600/1027] lr: 3.284e-03, eta: 4:52:38, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9513, top5_acc: 0.9944, loss_cls: 4.0278, loss: 4.0278 2025-04-30 21:46:19,924 - pyskl - INFO - Epoch [115][700/1027] lr: 3.267e-03, eta: 4:51:50, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9400, top5_acc: 0.9919, loss_cls: 3.8087, loss: 3.8087 2025-04-30 21:47:07,695 - pyskl - INFO - Epoch [115][800/1027] lr: 3.250e-03, eta: 4:51:02, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9494, top5_acc: 0.9938, loss_cls: 3.8306, loss: 3.8306 2025-04-30 21:47:55,880 - pyskl - INFO - Epoch [115][900/1027] lr: 3.233e-03, eta: 4:50:13, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9494, top5_acc: 0.9931, loss_cls: 3.9671, loss: 3.9671 2025-04-30 21:48:44,117 - pyskl - INFO - Epoch [115][1000/1027] lr: 3.215e-03, eta: 4:49:25, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 3.9124, loss: 3.9124 2025-04-30 21:48:57,875 - pyskl - INFO - Saving checkpoint at 115 epochs 2025-04-30 21:49:38,185 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 21:49:38,257 - pyskl - INFO - top1_acc 0.5898 top5_acc 0.8442 2025-04-30 21:49:38,257 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 21:49:38,268 - pyskl - INFO - mean_acc 0.5917 2025-04-30 21:49:38,334 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_110.pth was removed 2025-04-30 21:49:39,951 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. 2025-04-30 21:49:39,952 - pyskl - INFO - Best top1_acc is 0.5898 at 115 epoch. 2025-04-30 21:49:39,956 - pyskl - INFO - Epoch(val) [115][413] top1_acc: 0.5898, top5_acc: 0.8442, mean_class_accuracy: 0.5917 2025-04-30 21:50:44,788 - pyskl - INFO - Epoch [116][100/1027] lr: 3.194e-03, eta: 4:48:25, time: 0.648, data_time: 0.264, memory: 7959, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 3.6243, loss: 3.6243 2025-04-30 21:51:28,873 - pyskl - INFO - Epoch [116][200/1027] lr: 3.177e-03, eta: 4:47:35, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.9669, top5_acc: 0.9925, loss_cls: 3.8503, loss: 3.8503 2025-04-30 21:52:15,100 - pyskl - INFO - Epoch [116][300/1027] lr: 3.160e-03, eta: 4:46:46, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 3.6422, loss: 3.6422 2025-04-30 21:53:03,321 - pyskl - INFO - Epoch [116][400/1027] lr: 3.143e-03, eta: 4:45:58, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 3.7681, loss: 3.7681 2025-04-30 21:53:51,741 - pyskl - INFO - Epoch [116][500/1027] lr: 3.126e-03, eta: 4:45:10, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.9637, top5_acc: 0.9931, loss_cls: 3.7002, loss: 3.7002 2025-04-30 21:54:39,660 - pyskl - INFO - Epoch [116][600/1027] lr: 3.109e-03, eta: 4:44:22, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 3.8065, loss: 3.8065 2025-04-30 21:55:28,337 - pyskl - INFO - Epoch [116][700/1027] lr: 3.092e-03, eta: 4:43:33, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 3.8668, loss: 3.8668 2025-04-30 21:56:16,512 - pyskl - INFO - Epoch [116][800/1027] lr: 3.076e-03, eta: 4:42:45, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 3.8669, loss: 3.8669 2025-04-30 21:57:04,226 - pyskl - INFO - Epoch [116][900/1027] lr: 3.059e-03, eta: 4:41:57, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 3.9699, loss: 3.9699 2025-04-30 21:57:52,469 - pyskl - INFO - Epoch [116][1000/1027] lr: 3.042e-03, eta: 4:41:08, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 3.8146, loss: 3.8146 2025-04-30 21:58:06,276 - pyskl - INFO - Saving checkpoint at 116 epochs 2025-04-30 21:58:46,699 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 21:58:46,771 - pyskl - INFO - top1_acc 0.6013 top5_acc 0.8474 2025-04-30 21:58:46,771 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 21:58:46,779 - pyskl - INFO - mean_acc 0.5990 2025-04-30 21:58:46,848 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_115.pth was removed 2025-04-30 21:58:48,465 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. 2025-04-30 21:58:48,466 - pyskl - INFO - Best top1_acc is 0.6013 at 116 epoch. 2025-04-30 21:58:48,469 - pyskl - INFO - Epoch(val) [116][413] top1_acc: 0.6013, top5_acc: 0.8474, mean_class_accuracy: 0.5990 2025-04-30 21:59:53,793 - pyskl - INFO - Epoch [117][100/1027] lr: 3.021e-03, eta: 4:40:08, time: 0.653, data_time: 0.265, memory: 7959, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 3.7295, loss: 3.7295 2025-04-30 22:00:37,998 - pyskl - INFO - Epoch [117][200/1027] lr: 3.004e-03, eta: 4:39:19, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 3.7781, loss: 3.7781 2025-04-30 22:01:24,316 - pyskl - INFO - Epoch [117][300/1027] lr: 2.988e-03, eta: 4:38:30, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9962, loss_cls: 3.7501, loss: 3.7501 2025-04-30 22:02:11,799 - pyskl - INFO - Epoch [117][400/1027] lr: 2.971e-03, eta: 4:37:41, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 3.7709, loss: 3.7709 2025-04-30 22:02:59,627 - pyskl - INFO - Epoch [117][500/1027] lr: 2.955e-03, eta: 4:36:53, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 3.6177, loss: 3.6177 2025-04-30 22:03:47,092 - pyskl - INFO - Epoch [117][600/1027] lr: 2.938e-03, eta: 4:36:05, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 3.7173, loss: 3.7173 2025-04-30 22:04:35,645 - pyskl - INFO - Epoch [117][700/1027] lr: 2.922e-03, eta: 4:35:16, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 3.5415, loss: 3.5415 2025-04-30 22:05:23,047 - pyskl - INFO - Epoch [117][800/1027] lr: 2.906e-03, eta: 4:34:28, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 3.8881, loss: 3.8881 2025-04-30 22:06:11,259 - pyskl - INFO - Epoch [117][900/1027] lr: 2.889e-03, eta: 4:33:40, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 3.7763, loss: 3.7763 2025-04-30 22:06:59,030 - pyskl - INFO - Epoch [117][1000/1027] lr: 2.873e-03, eta: 4:32:51, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 3.8932, loss: 3.8932 2025-04-30 22:07:12,604 - pyskl - INFO - Saving checkpoint at 117 epochs 2025-04-30 22:07:52,764 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 22:07:52,836 - pyskl - INFO - top1_acc 0.5960 top5_acc 0.8465 2025-04-30 22:07:52,836 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 22:07:52,843 - pyskl - INFO - mean_acc 0.5987 2025-04-30 22:07:52,844 - pyskl - INFO - Epoch(val) [117][413] top1_acc: 0.5960, top5_acc: 0.8465, mean_class_accuracy: 0.5987 2025-04-30 22:08:57,716 - pyskl - INFO - Epoch [118][100/1027] lr: 2.853e-03, eta: 4:31:51, time: 0.649, data_time: 0.256, memory: 7959, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 3.5175, loss: 3.5175 2025-04-30 22:09:43,022 - pyskl - INFO - Epoch [118][200/1027] lr: 2.836e-03, eta: 4:31:02, time: 0.453, data_time: 0.000, memory: 7959, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 3.6125, loss: 3.6125 2025-04-30 22:10:30,186 - pyskl - INFO - Epoch [118][300/1027] lr: 2.820e-03, eta: 4:30:13, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 3.7253, loss: 3.7253 2025-04-30 22:11:17,805 - pyskl - INFO - Epoch [118][400/1027] lr: 2.804e-03, eta: 4:29:25, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 3.6193, loss: 3.6193 2025-04-30 22:12:05,337 - pyskl - INFO - Epoch [118][500/1027] lr: 2.788e-03, eta: 4:28:36, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 3.6174, loss: 3.6174 2025-04-30 22:12:52,821 - pyskl - INFO - Epoch [118][600/1027] lr: 2.772e-03, eta: 4:27:48, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 3.6926, loss: 3.6926 2025-04-30 22:13:40,525 - pyskl - INFO - Epoch [118][700/1027] lr: 2.756e-03, eta: 4:26:59, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 3.6566, loss: 3.6566 2025-04-30 22:14:28,613 - pyskl - INFO - Epoch [118][800/1027] lr: 2.740e-03, eta: 4:26:11, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 3.7994, loss: 3.7994 2025-04-30 22:15:16,719 - pyskl - INFO - Epoch [118][900/1027] lr: 2.724e-03, eta: 4:25:23, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 3.5176, loss: 3.5176 2025-04-30 22:16:05,037 - pyskl - INFO - Epoch [118][1000/1027] lr: 2.708e-03, eta: 4:24:34, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 3.6964, loss: 3.6964 2025-04-30 22:16:18,844 - pyskl - INFO - Saving checkpoint at 118 epochs 2025-04-30 22:16:59,837 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 22:16:59,909 - pyskl - INFO - top1_acc 0.5836 top5_acc 0.8401 2025-04-30 22:16:59,909 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 22:16:59,917 - pyskl - INFO - mean_acc 0.5854 2025-04-30 22:16:59,918 - pyskl - INFO - Epoch(val) [118][413] top1_acc: 0.5836, top5_acc: 0.8401, mean_class_accuracy: 0.5854 2025-04-30 22:18:04,162 - pyskl - INFO - Epoch [119][100/1027] lr: 2.688e-03, eta: 4:23:34, time: 0.642, data_time: 0.260, memory: 7959, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 3.5177, loss: 3.5177 2025-04-30 22:18:48,954 - pyskl - INFO - Epoch [119][200/1027] lr: 2.672e-03, eta: 4:22:45, time: 0.448, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 3.6154, loss: 3.6154 2025-04-30 22:19:35,983 - pyskl - INFO - Epoch [119][300/1027] lr: 2.657e-03, eta: 4:21:56, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 3.7537, loss: 3.7537 2025-04-30 22:20:24,151 - pyskl - INFO - Epoch [119][400/1027] lr: 2.641e-03, eta: 4:21:08, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 3.5770, loss: 3.5770 2025-04-30 22:21:15,054 - pyskl - INFO - Epoch [119][500/1027] lr: 2.625e-03, eta: 4:20:20, time: 0.509, data_time: 0.000, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 3.5858, loss: 3.5858 2025-04-30 22:22:04,567 - pyskl - INFO - Epoch [119][600/1027] lr: 2.610e-03, eta: 4:19:32, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 3.6779, loss: 3.6779 2025-04-30 22:22:55,711 - pyskl - INFO - Epoch [119][700/1027] lr: 2.594e-03, eta: 4:18:45, time: 0.511, data_time: 0.000, memory: 7959, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 3.5561, loss: 3.5561 2025-04-30 22:23:44,771 - pyskl - INFO - Epoch [119][800/1027] lr: 2.579e-03, eta: 4:17:57, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 3.6480, loss: 3.6480 2025-04-30 22:24:33,717 - pyskl - INFO - Epoch [119][900/1027] lr: 2.563e-03, eta: 4:17:09, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 3.7723, loss: 3.7723 2025-04-30 22:25:21,887 - pyskl - INFO - Epoch [119][1000/1027] lr: 2.548e-03, eta: 4:16:20, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 3.7188, loss: 3.7188 2025-04-30 22:25:35,756 - pyskl - INFO - Saving checkpoint at 119 epochs 2025-04-30 22:26:16,260 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 22:26:16,333 - pyskl - INFO - top1_acc 0.5924 top5_acc 0.8450 2025-04-30 22:26:16,333 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 22:26:16,341 - pyskl - INFO - mean_acc 0.5946 2025-04-30 22:26:16,343 - pyskl - INFO - Epoch(val) [119][413] top1_acc: 0.5924, top5_acc: 0.8450, mean_class_accuracy: 0.5946 2025-04-30 22:27:20,684 - pyskl - INFO - Epoch [120][100/1027] lr: 2.528e-03, eta: 4:15:20, time: 0.643, data_time: 0.257, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 3.5398, loss: 3.5398 2025-04-30 22:28:05,240 - pyskl - INFO - Epoch [120][200/1027] lr: 2.513e-03, eta: 4:14:31, time: 0.446, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 3.5498, loss: 3.5498 2025-04-30 22:28:53,819 - pyskl - INFO - Epoch [120][300/1027] lr: 2.497e-03, eta: 4:13:42, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 3.5575, loss: 3.5575 2025-04-30 22:29:43,958 - pyskl - INFO - Epoch [120][400/1027] lr: 2.482e-03, eta: 4:12:55, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 3.4860, loss: 3.4860 2025-04-30 22:30:34,709 - pyskl - INFO - Epoch [120][500/1027] lr: 2.467e-03, eta: 4:12:07, time: 0.507, data_time: 0.000, memory: 7959, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 3.6202, loss: 3.6202 2025-04-30 22:31:26,839 - pyskl - INFO - Epoch [120][600/1027] lr: 2.452e-03, eta: 4:11:20, time: 0.521, data_time: 0.000, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 3.6202, loss: 3.6202 2025-04-30 22:32:19,567 - pyskl - INFO - Epoch [120][700/1027] lr: 2.437e-03, eta: 4:10:33, time: 0.527, data_time: 0.000, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 3.6439, loss: 3.6439 2025-04-30 22:33:12,349 - pyskl - INFO - Epoch [120][800/1027] lr: 2.422e-03, eta: 4:09:45, time: 0.528, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 3.4910, loss: 3.4910 2025-04-30 22:34:03,169 - pyskl - INFO - Epoch [120][900/1027] lr: 2.407e-03, eta: 4:08:58, time: 0.508, data_time: 0.000, memory: 7959, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 3.6856, loss: 3.6856 2025-04-30 22:34:52,856 - pyskl - INFO - Epoch [120][1000/1027] lr: 2.391e-03, eta: 4:08:10, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 3.6620, loss: 3.6620 2025-04-30 22:35:06,448 - pyskl - INFO - Saving checkpoint at 120 epochs 2025-04-30 22:35:46,679 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 22:35:46,753 - pyskl - INFO - top1_acc 0.5948 top5_acc 0.8454 2025-04-30 22:35:46,754 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 22:35:46,763 - pyskl - INFO - mean_acc 0.5943 2025-04-30 22:35:46,765 - pyskl - INFO - Epoch(val) [120][413] top1_acc: 0.5948, top5_acc: 0.8454, mean_class_accuracy: 0.5943 2025-04-30 22:36:50,575 - pyskl - INFO - Epoch [121][100/1027] lr: 2.372e-03, eta: 4:07:09, time: 0.638, data_time: 0.253, memory: 7959, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 3.4552, loss: 3.4552 2025-04-30 22:37:34,958 - pyskl - INFO - Epoch [121][200/1027] lr: 2.358e-03, eta: 4:06:20, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 3.4761, loss: 3.4761 2025-04-30 22:38:20,891 - pyskl - INFO - Epoch [121][300/1027] lr: 2.343e-03, eta: 4:05:31, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 3.5725, loss: 3.5725 2025-04-30 22:39:08,420 - pyskl - INFO - Epoch [121][400/1027] lr: 2.328e-03, eta: 4:04:43, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 3.4812, loss: 3.4812 2025-04-30 22:39:55,845 - pyskl - INFO - Epoch [121][500/1027] lr: 2.313e-03, eta: 4:03:54, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 3.7168, loss: 3.7168 2025-04-30 22:40:43,272 - pyskl - INFO - Epoch [121][600/1027] lr: 2.298e-03, eta: 4:03:06, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 3.6107, loss: 3.6107 2025-04-30 22:41:31,330 - pyskl - INFO - Epoch [121][700/1027] lr: 2.284e-03, eta: 4:02:17, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 3.7267, loss: 3.7267 2025-04-30 22:42:19,324 - pyskl - INFO - Epoch [121][800/1027] lr: 2.269e-03, eta: 4:01:29, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 3.5406, loss: 3.5406 2025-04-30 22:43:08,272 - pyskl - INFO - Epoch [121][900/1027] lr: 2.254e-03, eta: 4:00:41, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 3.5378, loss: 3.5378 2025-04-30 22:43:56,628 - pyskl - INFO - Epoch [121][1000/1027] lr: 2.240e-03, eta: 3:59:53, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 3.5124, loss: 3.5124 2025-04-30 22:44:10,966 - pyskl - INFO - Saving checkpoint at 121 epochs 2025-04-30 22:44:51,146 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 22:44:51,219 - pyskl - INFO - top1_acc 0.5933 top5_acc 0.8453 2025-04-30 22:44:51,219 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 22:44:51,227 - pyskl - INFO - mean_acc 0.5911 2025-04-30 22:44:51,229 - pyskl - INFO - Epoch(val) [121][413] top1_acc: 0.5933, top5_acc: 0.8453, mean_class_accuracy: 0.5911 2025-04-30 22:45:55,487 - pyskl - INFO - Epoch [122][100/1027] lr: 2.221e-03, eta: 3:58:52, time: 0.643, data_time: 0.255, memory: 7959, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 3.5882, loss: 3.5882 2025-04-30 22:46:40,359 - pyskl - INFO - Epoch [122][200/1027] lr: 2.207e-03, eta: 3:58:03, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 3.5311, loss: 3.5311 2025-04-30 22:47:26,818 - pyskl - INFO - Epoch [122][300/1027] lr: 2.192e-03, eta: 3:57:14, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 3.5640, loss: 3.5640 2025-04-30 22:48:14,767 - pyskl - INFO - Epoch [122][400/1027] lr: 2.178e-03, eta: 3:56:26, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 3.5290, loss: 3.5290 2025-04-30 22:49:01,931 - pyskl - INFO - Epoch [122][500/1027] lr: 2.164e-03, eta: 3:55:37, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 3.4137, loss: 3.4137 2025-04-30 22:49:50,604 - pyskl - INFO - Epoch [122][600/1027] lr: 2.149e-03, eta: 3:54:49, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 3.4974, loss: 3.4974 2025-04-30 22:50:39,608 - pyskl - INFO - Epoch [122][700/1027] lr: 2.135e-03, eta: 3:54:01, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 3.3967, loss: 3.3967 2025-04-30 22:51:27,333 - pyskl - INFO - Epoch [122][800/1027] lr: 2.121e-03, eta: 3:53:12, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 3.5571, loss: 3.5571 2025-04-30 22:52:15,109 - pyskl - INFO - Epoch [122][900/1027] lr: 2.107e-03, eta: 3:52:24, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 3.5378, loss: 3.5378 2025-04-30 22:53:02,767 - pyskl - INFO - Epoch [122][1000/1027] lr: 2.092e-03, eta: 3:51:36, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 3.5288, loss: 3.5288 2025-04-30 22:53:16,647 - pyskl - INFO - Saving checkpoint at 122 epochs 2025-04-30 22:53:56,530 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 22:53:56,602 - pyskl - INFO - top1_acc 0.5963 top5_acc 0.8412 2025-04-30 22:53:56,602 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 22:53:56,612 - pyskl - INFO - mean_acc 0.5956 2025-04-30 22:53:56,615 - pyskl - INFO - Epoch(val) [122][413] top1_acc: 0.5963, top5_acc: 0.8412, mean_class_accuracy: 0.5956 2025-04-30 22:55:00,561 - pyskl - INFO - Epoch [123][100/1027] lr: 2.075e-03, eta: 3:50:35, time: 0.639, data_time: 0.253, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 3.4401, loss: 3.4401 2025-04-30 22:55:45,125 - pyskl - INFO - Epoch [123][200/1027] lr: 2.060e-03, eta: 3:49:46, time: 0.446, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 3.4013, loss: 3.4013 2025-04-30 22:56:32,276 - pyskl - INFO - Epoch [123][300/1027] lr: 2.046e-03, eta: 3:48:57, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 3.4479, loss: 3.4479 2025-04-30 22:57:20,266 - pyskl - INFO - Epoch [123][400/1027] lr: 2.033e-03, eta: 3:48:09, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 3.3870, loss: 3.3870 2025-04-30 22:58:07,296 - pyskl - INFO - Epoch [123][500/1027] lr: 2.019e-03, eta: 3:47:20, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 3.4895, loss: 3.4895 2025-04-30 22:58:54,957 - pyskl - INFO - Epoch [123][600/1027] lr: 2.005e-03, eta: 3:46:32, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.5073, loss: 3.5073 2025-04-30 22:59:43,109 - pyskl - INFO - Epoch [123][700/1027] lr: 1.991e-03, eta: 3:45:44, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 3.4257, loss: 3.4257 2025-04-30 23:00:31,947 - pyskl - INFO - Epoch [123][800/1027] lr: 1.977e-03, eta: 3:44:56, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 3.5486, loss: 3.5486 2025-04-30 23:01:20,031 - pyskl - INFO - Epoch [123][900/1027] lr: 1.963e-03, eta: 3:44:07, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 3.4862, loss: 3.4862 2025-04-30 23:02:08,066 - pyskl - INFO - Epoch [123][1000/1027] lr: 1.950e-03, eta: 3:43:19, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 3.5459, loss: 3.5459 2025-04-30 23:02:21,649 - pyskl - INFO - Saving checkpoint at 123 epochs 2025-04-30 23:03:01,948 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 23:03:02,026 - pyskl - INFO - top1_acc 0.6069 top5_acc 0.8466 2025-04-30 23:03:02,027 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 23:03:02,034 - pyskl - INFO - mean_acc 0.6075 2025-04-30 23:03:02,099 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_116.pth was removed 2025-04-30 23:03:03,810 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. 2025-04-30 23:03:03,812 - pyskl - INFO - Best top1_acc is 0.6069 at 123 epoch. 2025-04-30 23:03:03,815 - pyskl - INFO - Epoch(val) [123][413] top1_acc: 0.6069, top5_acc: 0.8466, mean_class_accuracy: 0.6075 2025-04-30 23:04:08,710 - pyskl - INFO - Epoch [124][100/1027] lr: 1.932e-03, eta: 3:42:18, time: 0.649, data_time: 0.262, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 3.4299, loss: 3.4299 2025-04-30 23:04:52,832 - pyskl - INFO - Epoch [124][200/1027] lr: 1.919e-03, eta: 3:41:29, time: 0.441, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 3.4176, loss: 3.4176 2025-04-30 23:05:40,016 - pyskl - INFO - Epoch [124][300/1027] lr: 1.905e-03, eta: 3:40:41, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 3.3716, loss: 3.3716 2025-04-30 23:06:26,758 - pyskl - INFO - Epoch [124][400/1027] lr: 1.892e-03, eta: 3:39:52, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.3542, loss: 3.3542 2025-04-30 23:07:14,213 - pyskl - INFO - Epoch [124][500/1027] lr: 1.878e-03, eta: 3:39:04, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 3.3900, loss: 3.3900 2025-04-30 23:08:01,765 - pyskl - INFO - Epoch [124][600/1027] lr: 1.865e-03, eta: 3:38:15, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 3.5039, loss: 3.5039 2025-04-30 23:08:49,476 - pyskl - INFO - Epoch [124][700/1027] lr: 1.851e-03, eta: 3:37:27, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 3.5304, loss: 3.5304 2025-04-30 23:09:37,105 - pyskl - INFO - Epoch [124][800/1027] lr: 1.838e-03, eta: 3:36:38, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 3.3833, loss: 3.3833 2025-04-30 23:10:24,733 - pyskl - INFO - Epoch [124][900/1027] lr: 1.825e-03, eta: 3:35:50, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 3.4528, loss: 3.4528 2025-04-30 23:11:13,937 - pyskl - INFO - Epoch [124][1000/1027] lr: 1.812e-03, eta: 3:35:02, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 3.5529, loss: 3.5529 2025-04-30 23:11:27,857 - pyskl - INFO - Saving checkpoint at 124 epochs 2025-04-30 23:12:08,777 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 23:12:08,862 - pyskl - INFO - top1_acc 0.6057 top5_acc 0.8501 2025-04-30 23:12:08,862 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 23:12:08,873 - pyskl - INFO - mean_acc 0.6056 2025-04-30 23:12:08,875 - pyskl - INFO - Epoch(val) [124][413] top1_acc: 0.6057, top5_acc: 0.8501, mean_class_accuracy: 0.6056 2025-04-30 23:13:15,150 - pyskl - INFO - Epoch [125][100/1027] lr: 1.795e-03, eta: 3:34:02, time: 0.663, data_time: 0.280, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.3326, loss: 3.3326 2025-04-30 23:13:59,716 - pyskl - INFO - Epoch [125][200/1027] lr: 1.782e-03, eta: 3:33:13, time: 0.446, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.2420, loss: 3.2420 2025-04-30 23:14:46,232 - pyskl - INFO - Epoch [125][300/1027] lr: 1.769e-03, eta: 3:32:24, time: 0.465, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 3.3857, loss: 3.3857 2025-04-30 23:15:32,215 - pyskl - INFO - Epoch [125][400/1027] lr: 1.756e-03, eta: 3:31:35, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 3.3936, loss: 3.3936 2025-04-30 23:16:20,520 - pyskl - INFO - Epoch [125][500/1027] lr: 1.743e-03, eta: 3:30:47, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 3.5113, loss: 3.5113 2025-04-30 23:17:08,326 - pyskl - INFO - Epoch [125][600/1027] lr: 1.730e-03, eta: 3:29:59, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.3572, loss: 3.3572 2025-04-30 23:17:56,092 - pyskl - INFO - Epoch [125][700/1027] lr: 1.717e-03, eta: 3:29:10, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 3.3454, loss: 3.3454 2025-04-30 23:18:46,097 - pyskl - INFO - Epoch [125][800/1027] lr: 1.704e-03, eta: 3:28:22, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.5796, loss: 3.5796 2025-04-30 23:19:35,897 - pyskl - INFO - Epoch [125][900/1027] lr: 1.691e-03, eta: 3:27:34, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 3.5741, loss: 3.5741 2025-04-30 23:20:26,199 - pyskl - INFO - Epoch [125][1000/1027] lr: 1.678e-03, eta: 3:26:46, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 3.4318, loss: 3.4318 2025-04-30 23:20:40,532 - pyskl - INFO - Saving checkpoint at 125 epochs 2025-04-30 23:21:21,950 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 23:21:22,021 - pyskl - INFO - top1_acc 0.6071 top5_acc 0.8469 2025-04-30 23:21:22,022 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 23:21:22,029 - pyskl - INFO - mean_acc 0.6048 2025-04-30 23:21:22,098 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_123.pth was removed 2025-04-30 23:21:23,701 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. 2025-04-30 23:21:23,703 - pyskl - INFO - Best top1_acc is 0.6071 at 125 epoch. 2025-04-30 23:21:23,706 - pyskl - INFO - Epoch(val) [125][413] top1_acc: 0.6071, top5_acc: 0.8469, mean_class_accuracy: 0.6048 2025-04-30 23:22:29,135 - pyskl - INFO - Epoch [126][100/1027] lr: 1.662e-03, eta: 3:25:46, time: 0.654, data_time: 0.259, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.3521, loss: 3.3521 2025-04-30 23:23:14,742 - pyskl - INFO - Epoch [126][200/1027] lr: 1.649e-03, eta: 3:24:57, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 3.2478, loss: 3.2478 2025-04-30 23:24:02,279 - pyskl - INFO - Epoch [126][300/1027] lr: 1.637e-03, eta: 3:24:09, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.3459, loss: 3.3459 2025-04-30 23:24:50,949 - pyskl - INFO - Epoch [126][400/1027] lr: 1.624e-03, eta: 3:23:21, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.2814, loss: 3.2814 2025-04-30 23:25:37,861 - pyskl - INFO - Epoch [126][500/1027] lr: 1.612e-03, eta: 3:22:32, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.3616, loss: 3.3616 2025-04-30 23:26:25,829 - pyskl - INFO - Epoch [126][600/1027] lr: 1.599e-03, eta: 3:21:44, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.4015, loss: 3.4015 2025-04-30 23:27:13,814 - pyskl - INFO - Epoch [126][700/1027] lr: 1.587e-03, eta: 3:20:55, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 3.3534, loss: 3.3534 2025-04-30 23:28:03,335 - pyskl - INFO - Epoch [126][800/1027] lr: 1.574e-03, eta: 3:20:07, time: 0.495, data_time: 0.000, memory: 7959, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 3.3137, loss: 3.3137 2025-04-30 23:28:54,638 - pyskl - INFO - Epoch [126][900/1027] lr: 1.562e-03, eta: 3:19:20, time: 0.513, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 3.4196, loss: 3.4196 2025-04-30 23:29:46,084 - pyskl - INFO - Epoch [126][1000/1027] lr: 1.550e-03, eta: 3:18:32, time: 0.514, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.4024, loss: 3.4024 2025-04-30 23:30:01,059 - pyskl - INFO - Saving checkpoint at 126 epochs 2025-04-30 23:30:43,865 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 23:30:43,937 - pyskl - INFO - top1_acc 0.6071 top5_acc 0.8435 2025-04-30 23:30:43,937 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 23:30:43,944 - pyskl - INFO - mean_acc 0.6076 2025-04-30 23:30:43,945 - pyskl - INFO - Epoch(val) [126][413] top1_acc: 0.6071, top5_acc: 0.8435, mean_class_accuracy: 0.6076 2025-04-30 23:31:50,769 - pyskl - INFO - Epoch [127][100/1027] lr: 1.534e-03, eta: 3:17:32, time: 0.668, data_time: 0.254, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.2714, loss: 3.2714 2025-04-30 23:32:38,049 - pyskl - INFO - Epoch [127][200/1027] lr: 1.522e-03, eta: 3:16:43, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 3.3104, loss: 3.3104 2025-04-30 23:33:26,912 - pyskl - INFO - Epoch [127][300/1027] lr: 1.510e-03, eta: 3:15:55, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 3.3259, loss: 3.3259 2025-04-30 23:34:16,241 - pyskl - INFO - Epoch [127][400/1027] lr: 1.498e-03, eta: 3:15:07, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.3834, loss: 3.3834 2025-04-30 23:35:07,335 - pyskl - INFO - Epoch [127][500/1027] lr: 1.485e-03, eta: 3:14:19, time: 0.511, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 3.3668, loss: 3.3668 2025-04-30 23:35:57,740 - pyskl - INFO - Epoch [127][600/1027] lr: 1.473e-03, eta: 3:13:31, time: 0.504, data_time: 0.000, memory: 7959, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 3.2386, loss: 3.2386 2025-04-30 23:36:47,903 - pyskl - INFO - Epoch [127][700/1027] lr: 1.461e-03, eta: 3:12:43, time: 0.502, data_time: 0.000, memory: 7959, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 3.3546, loss: 3.3546 2025-04-30 23:37:36,805 - pyskl - INFO - Epoch [127][800/1027] lr: 1.450e-03, eta: 3:11:55, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 3.3813, loss: 3.3813 2025-04-30 23:38:26,020 - pyskl - INFO - Epoch [127][900/1027] lr: 1.438e-03, eta: 3:11:07, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.3195, loss: 3.3195 2025-04-30 23:39:13,762 - pyskl - INFO - Epoch [127][1000/1027] lr: 1.426e-03, eta: 3:10:19, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 3.3356, loss: 3.3356 2025-04-30 23:39:27,016 - pyskl - INFO - Saving checkpoint at 127 epochs 2025-04-30 23:40:07,848 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 23:40:07,919 - pyskl - INFO - top1_acc 0.6077 top5_acc 0.8463 2025-04-30 23:40:07,920 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 23:40:07,927 - pyskl - INFO - mean_acc 0.6064 2025-04-30 23:40:07,992 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_125.pth was removed 2025-04-30 23:40:09,615 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. 2025-04-30 23:40:09,616 - pyskl - INFO - Best top1_acc is 0.6077 at 127 epoch. 2025-04-30 23:40:09,619 - pyskl - INFO - Epoch(val) [127][413] top1_acc: 0.6077, top5_acc: 0.8463, mean_class_accuracy: 0.6064 2025-04-30 23:41:15,190 - pyskl - INFO - Epoch [128][100/1027] lr: 1.411e-03, eta: 3:09:18, time: 0.656, data_time: 0.273, memory: 7959, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 3.3699, loss: 3.3699 2025-04-30 23:41:59,580 - pyskl - INFO - Epoch [128][200/1027] lr: 1.399e-03, eta: 3:08:29, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 3.3270, loss: 3.3270 2025-04-30 23:42:45,880 - pyskl - INFO - Epoch [128][300/1027] lr: 1.387e-03, eta: 3:07:40, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.3035, loss: 3.3035 2025-04-30 23:43:33,519 - pyskl - INFO - Epoch [128][400/1027] lr: 1.376e-03, eta: 3:06:52, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.3276, loss: 3.3276 2025-04-30 23:44:21,089 - pyskl - INFO - Epoch [128][500/1027] lr: 1.364e-03, eta: 3:06:04, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.3920, loss: 3.3920 2025-04-30 23:45:08,665 - pyskl - INFO - Epoch [128][600/1027] lr: 1.353e-03, eta: 3:05:15, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1810, loss: 3.1810 2025-04-30 23:45:56,564 - pyskl - INFO - Epoch [128][700/1027] lr: 1.341e-03, eta: 3:04:27, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.2946, loss: 3.2946 2025-04-30 23:46:44,222 - pyskl - INFO - Epoch [128][800/1027] lr: 1.330e-03, eta: 3:03:39, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.2653, loss: 3.2653 2025-04-30 23:47:32,874 - pyskl - INFO - Epoch [128][900/1027] lr: 1.318e-03, eta: 3:02:50, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 3.2072, loss: 3.2072 2025-04-30 23:48:20,650 - pyskl - INFO - Epoch [128][1000/1027] lr: 1.307e-03, eta: 3:02:02, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.2989, loss: 3.2989 2025-04-30 23:48:34,527 - pyskl - INFO - Saving checkpoint at 128 epochs 2025-04-30 23:49:14,798 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 23:49:14,870 - pyskl - INFO - top1_acc 0.6109 top5_acc 0.8518 2025-04-30 23:49:14,871 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 23:49:14,878 - pyskl - INFO - mean_acc 0.6094 2025-04-30 23:49:14,945 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_127.pth was removed 2025-04-30 23:49:16,558 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. 2025-04-30 23:49:16,559 - pyskl - INFO - Best top1_acc is 0.6109 at 128 epoch. 2025-04-30 23:49:16,562 - pyskl - INFO - Epoch(val) [128][413] top1_acc: 0.6109, top5_acc: 0.8518, mean_class_accuracy: 0.6094 2025-04-30 23:50:21,345 - pyskl - INFO - Epoch [129][100/1027] lr: 1.292e-03, eta: 3:01:01, time: 0.648, data_time: 0.258, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.2522, loss: 3.2522 2025-04-30 23:51:06,333 - pyskl - INFO - Epoch [129][200/1027] lr: 1.281e-03, eta: 3:00:12, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.3013, loss: 3.3013 2025-04-30 23:51:53,633 - pyskl - INFO - Epoch [129][300/1027] lr: 1.270e-03, eta: 2:59:24, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.2167, loss: 3.2167 2025-04-30 23:52:40,709 - pyskl - INFO - Epoch [129][400/1027] lr: 1.259e-03, eta: 2:58:35, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.2579, loss: 3.2579 2025-04-30 23:53:28,693 - pyskl - INFO - Epoch [129][500/1027] lr: 1.248e-03, eta: 2:57:47, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.3088, loss: 3.3088 2025-04-30 23:54:15,982 - pyskl - INFO - Epoch [129][600/1027] lr: 1.237e-03, eta: 2:56:59, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 3.3350, loss: 3.3350 2025-04-30 23:55:03,749 - pyskl - INFO - Epoch [129][700/1027] lr: 1.226e-03, eta: 2:56:10, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.3996, loss: 3.3996 2025-04-30 23:55:51,928 - pyskl - INFO - Epoch [129][800/1027] lr: 1.215e-03, eta: 2:55:22, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1469, loss: 3.1469 2025-04-30 23:56:39,310 - pyskl - INFO - Epoch [129][900/1027] lr: 1.204e-03, eta: 2:54:34, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1807, loss: 3.1807 2025-04-30 23:57:26,977 - pyskl - INFO - Epoch [129][1000/1027] lr: 1.193e-03, eta: 2:53:45, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 3.2654, loss: 3.2654 2025-04-30 23:57:40,913 - pyskl - INFO - Saving checkpoint at 129 epochs 2025-04-30 23:58:21,088 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-04-30 23:58:21,161 - pyskl - INFO - top1_acc 0.6130 top5_acc 0.8527 2025-04-30 23:58:21,161 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-04-30 23:58:21,168 - pyskl - INFO - mean_acc 0.6121 2025-04-30 23:58:21,234 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_128.pth was removed 2025-04-30 23:58:22,884 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. 2025-04-30 23:58:22,886 - pyskl - INFO - Best top1_acc is 0.6130 at 129 epoch. 2025-04-30 23:58:22,891 - pyskl - INFO - Epoch(val) [129][413] top1_acc: 0.6130, top5_acc: 0.8527, mean_class_accuracy: 0.6121 2025-04-30 23:59:26,719 - pyskl - INFO - Epoch [130][100/1027] lr: 1.179e-03, eta: 2:52:44, time: 0.638, data_time: 0.254, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1749, loss: 3.1749 2025-05-01 00:00:11,625 - pyskl - INFO - Epoch [130][200/1027] lr: 1.168e-03, eta: 2:51:55, time: 0.449, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 3.3365, loss: 3.3365 2025-05-01 00:00:58,304 - pyskl - INFO - Epoch [130][300/1027] lr: 1.157e-03, eta: 2:51:07, time: 0.467, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0860, loss: 3.0860 2025-05-01 00:01:46,396 - pyskl - INFO - Epoch [130][400/1027] lr: 1.147e-03, eta: 2:50:19, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.2261, loss: 3.2261 2025-05-01 00:02:35,375 - pyskl - INFO - Epoch [130][500/1027] lr: 1.136e-03, eta: 2:49:30, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.0929, loss: 3.0929 2025-05-01 00:03:23,190 - pyskl - INFO - Epoch [130][600/1027] lr: 1.125e-03, eta: 2:48:42, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.3249, loss: 3.3249 2025-05-01 00:04:11,437 - pyskl - INFO - Epoch [130][700/1027] lr: 1.115e-03, eta: 2:47:54, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1609, loss: 3.1609 2025-05-01 00:04:59,234 - pyskl - INFO - Epoch [130][800/1027] lr: 1.104e-03, eta: 2:47:05, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.2688, loss: 3.2688 2025-05-01 00:05:47,847 - pyskl - INFO - Epoch [130][900/1027] lr: 1.094e-03, eta: 2:46:17, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.2786, loss: 3.2786 2025-05-01 00:06:36,639 - pyskl - INFO - Epoch [130][1000/1027] lr: 1.084e-03, eta: 2:45:29, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.2048, loss: 3.2048 2025-05-01 00:06:50,587 - pyskl - INFO - Saving checkpoint at 130 epochs 2025-05-01 00:07:30,533 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 00:07:30,603 - pyskl - INFO - top1_acc 0.6186 top5_acc 0.8510 2025-05-01 00:07:30,604 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 00:07:30,611 - pyskl - INFO - mean_acc 0.6180 2025-05-01 00:07:30,683 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_129.pth was removed 2025-05-01 00:07:32,389 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. 2025-05-01 00:07:32,390 - pyskl - INFO - Best top1_acc is 0.6186 at 130 epoch. 2025-05-01 00:07:32,393 - pyskl - INFO - Epoch(val) [130][413] top1_acc: 0.6186, top5_acc: 0.8510, mean_class_accuracy: 0.6180 2025-05-01 00:08:36,428 - pyskl - INFO - Epoch [131][100/1027] lr: 1.070e-03, eta: 2:44:28, time: 0.640, data_time: 0.253, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1948, loss: 3.1948 2025-05-01 00:09:20,446 - pyskl - INFO - Epoch [131][200/1027] lr: 1.060e-03, eta: 2:43:39, time: 0.440, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1517, loss: 3.1517 2025-05-01 00:10:06,239 - pyskl - INFO - Epoch [131][300/1027] lr: 1.050e-03, eta: 2:42:50, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 3.1863, loss: 3.1863 2025-05-01 00:10:52,684 - pyskl - INFO - Epoch [131][400/1027] lr: 1.040e-03, eta: 2:42:02, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.3259, loss: 3.3259 2025-05-01 00:11:40,729 - pyskl - INFO - Epoch [131][500/1027] lr: 1.030e-03, eta: 2:41:14, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1854, loss: 3.1854 2025-05-01 00:12:29,473 - pyskl - INFO - Epoch [131][600/1027] lr: 1.019e-03, eta: 2:40:25, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 3.2179, loss: 3.2179 2025-05-01 00:13:17,914 - pyskl - INFO - Epoch [131][700/1027] lr: 1.009e-03, eta: 2:39:37, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.3548, loss: 3.3548 2025-05-01 00:14:06,134 - pyskl - INFO - Epoch [131][800/1027] lr: 9.994e-04, eta: 2:38:49, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.2889, loss: 3.2889 2025-05-01 00:14:55,440 - pyskl - INFO - Epoch [131][900/1027] lr: 9.894e-04, eta: 2:38:01, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 3.2025, loss: 3.2025 2025-05-01 00:15:43,576 - pyskl - INFO - Epoch [131][1000/1027] lr: 9.795e-04, eta: 2:37:12, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 3.1569, loss: 3.1569 2025-05-01 00:15:57,614 - pyskl - INFO - Saving checkpoint at 131 epochs 2025-05-01 00:16:38,186 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 00:16:38,257 - pyskl - INFO - top1_acc 0.6098 top5_acc 0.8513 2025-05-01 00:16:38,257 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 00:16:38,266 - pyskl - INFO - mean_acc 0.6080 2025-05-01 00:16:38,268 - pyskl - INFO - Epoch(val) [131][413] top1_acc: 0.6098, top5_acc: 0.8513, mean_class_accuracy: 0.6080 2025-05-01 00:17:44,677 - pyskl - INFO - Epoch [132][100/1027] lr: 9.670e-04, eta: 2:36:12, time: 0.664, data_time: 0.269, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0940, loss: 3.0940 2025-05-01 00:18:30,353 - pyskl - INFO - Epoch [132][200/1027] lr: 9.571e-04, eta: 2:35:23, time: 0.457, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1596, loss: 3.1596 2025-05-01 00:19:18,354 - pyskl - INFO - Epoch [132][300/1027] lr: 9.474e-04, eta: 2:34:35, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1123, loss: 3.1123 2025-05-01 00:20:07,003 - pyskl - INFO - Epoch [132][400/1027] lr: 9.377e-04, eta: 2:33:47, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.2026, loss: 3.2026 2025-05-01 00:20:56,195 - pyskl - INFO - Epoch [132][500/1027] lr: 9.280e-04, eta: 2:32:59, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1931, loss: 3.1931 2025-05-01 00:21:45,327 - pyskl - INFO - Epoch [132][600/1027] lr: 9.184e-04, eta: 2:32:10, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0494, loss: 3.0494 2025-05-01 00:22:34,672 - pyskl - INFO - Epoch [132][700/1027] lr: 9.088e-04, eta: 2:31:22, time: 0.493, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1287, loss: 3.1287 2025-05-01 00:23:23,531 - pyskl - INFO - Epoch [132][800/1027] lr: 8.993e-04, eta: 2:30:34, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.2423, loss: 3.2423 2025-05-01 00:24:11,263 - pyskl - INFO - Epoch [132][900/1027] lr: 8.898e-04, eta: 2:29:46, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.2579, loss: 3.2579 2025-05-01 00:24:59,502 - pyskl - INFO - Epoch [132][1000/1027] lr: 8.804e-04, eta: 2:28:57, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.2841, loss: 3.2841 2025-05-01 00:25:13,133 - pyskl - INFO - Saving checkpoint at 132 epochs 2025-05-01 00:25:53,424 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 00:25:53,496 - pyskl - INFO - top1_acc 0.6087 top5_acc 0.8504 2025-05-01 00:25:53,497 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 00:25:53,504 - pyskl - INFO - mean_acc 0.6078 2025-05-01 00:25:53,506 - pyskl - INFO - Epoch(val) [132][413] top1_acc: 0.6087, top5_acc: 0.8504, mean_class_accuracy: 0.6078 2025-05-01 00:26:59,206 - pyskl - INFO - Epoch [133][100/1027] lr: 8.685e-04, eta: 2:27:57, time: 0.657, data_time: 0.259, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.2167, loss: 3.2167 2025-05-01 00:27:46,490 - pyskl - INFO - Epoch [133][200/1027] lr: 8.592e-04, eta: 2:27:08, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1078, loss: 3.1078 2025-05-01 00:28:35,617 - pyskl - INFO - Epoch [133][300/1027] lr: 8.500e-04, eta: 2:26:20, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1436, loss: 3.1436 2025-05-01 00:29:27,361 - pyskl - INFO - Epoch [133][400/1027] lr: 8.407e-04, eta: 2:25:32, time: 0.517, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.1330, loss: 3.1330 2025-05-01 00:30:19,086 - pyskl - INFO - Epoch [133][500/1027] lr: 8.316e-04, eta: 2:24:44, time: 0.517, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 3.1124, loss: 3.1124 2025-05-01 00:31:11,144 - pyskl - INFO - Epoch [133][600/1027] lr: 8.225e-04, eta: 2:23:57, time: 0.521, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1846, loss: 3.1846 2025-05-01 00:32:02,061 - pyskl - INFO - Epoch [133][700/1027] lr: 8.134e-04, eta: 2:23:09, time: 0.509, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 3.2622, loss: 3.2622 2025-05-01 00:32:53,189 - pyskl - INFO - Epoch [133][800/1027] lr: 8.044e-04, eta: 2:22:21, time: 0.511, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.2079, loss: 3.2079 2025-05-01 00:33:43,655 - pyskl - INFO - Epoch [133][900/1027] lr: 7.954e-04, eta: 2:21:33, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 3.0852, loss: 3.0852 2025-05-01 00:34:33,407 - pyskl - INFO - Epoch [133][1000/1027] lr: 7.865e-04, eta: 2:20:45, time: 0.498, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1996, loss: 3.1996 2025-05-01 00:34:47,821 - pyskl - INFO - Saving checkpoint at 133 epochs 2025-05-01 00:35:29,427 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 00:35:29,498 - pyskl - INFO - top1_acc 0.6130 top5_acc 0.8466 2025-05-01 00:35:29,498 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 00:35:29,505 - pyskl - INFO - mean_acc 0.6120 2025-05-01 00:35:29,507 - pyskl - INFO - Epoch(val) [133][413] top1_acc: 0.6130, top5_acc: 0.8466, mean_class_accuracy: 0.6120 2025-05-01 00:36:34,750 - pyskl - INFO - Epoch [134][100/1027] lr: 7.752e-04, eta: 2:19:44, time: 0.652, data_time: 0.254, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.3444, loss: 3.3444 2025-05-01 00:37:20,801 - pyskl - INFO - Epoch [134][200/1027] lr: 7.664e-04, eta: 2:18:55, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.2227, loss: 3.2227 2025-05-01 00:38:08,766 - pyskl - INFO - Epoch [134][300/1027] lr: 7.576e-04, eta: 2:18:07, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 3.1376, loss: 3.1376 2025-05-01 00:38:56,726 - pyskl - INFO - Epoch [134][400/1027] lr: 7.489e-04, eta: 2:17:19, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.3332, loss: 3.3332 2025-05-01 00:39:45,271 - pyskl - INFO - Epoch [134][500/1027] lr: 7.402e-04, eta: 2:16:30, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1028, loss: 3.1028 2025-05-01 00:40:34,258 - pyskl - INFO - Epoch [134][600/1027] lr: 7.316e-04, eta: 2:15:42, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 3.1171, loss: 3.1171 2025-05-01 00:41:23,636 - pyskl - INFO - Epoch [134][700/1027] lr: 7.231e-04, eta: 2:14:54, time: 0.494, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0436, loss: 3.0436 2025-05-01 00:42:12,134 - pyskl - INFO - Epoch [134][800/1027] lr: 7.145e-04, eta: 2:14:06, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 3.2202, loss: 3.2202 2025-05-01 00:42:59,983 - pyskl - INFO - Epoch [134][900/1027] lr: 7.061e-04, eta: 2:13:17, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 3.1249, loss: 3.1249 2025-05-01 00:43:48,216 - pyskl - INFO - Epoch [134][1000/1027] lr: 6.976e-04, eta: 2:12:29, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.2357, loss: 3.2357 2025-05-01 00:44:01,805 - pyskl - INFO - Saving checkpoint at 134 epochs 2025-05-01 00:44:41,919 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 00:44:41,992 - pyskl - INFO - top1_acc 0.6118 top5_acc 0.8465 2025-05-01 00:44:41,992 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 00:44:42,000 - pyskl - INFO - mean_acc 0.6105 2025-05-01 00:44:42,002 - pyskl - INFO - Epoch(val) [134][413] top1_acc: 0.6118, top5_acc: 0.8465, mean_class_accuracy: 0.6105 2025-05-01 00:45:46,417 - pyskl - INFO - Epoch [135][100/1027] lr: 6.870e-04, eta: 2:11:28, time: 0.644, data_time: 0.257, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.1508, loss: 3.1508 2025-05-01 00:46:31,531 - pyskl - INFO - Epoch [135][200/1027] lr: 6.787e-04, eta: 2:10:39, time: 0.451, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1233, loss: 3.1233 2025-05-01 00:47:19,639 - pyskl - INFO - Epoch [135][300/1027] lr: 6.704e-04, eta: 2:09:51, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 3.2390, loss: 3.2390 2025-05-01 00:48:06,608 - pyskl - INFO - Epoch [135][400/1027] lr: 6.622e-04, eta: 2:09:03, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1912, loss: 3.1912 2025-05-01 00:48:54,089 - pyskl - INFO - Epoch [135][500/1027] lr: 6.541e-04, eta: 2:08:14, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1248, loss: 3.1248 2025-05-01 00:49:42,496 - pyskl - INFO - Epoch [135][600/1027] lr: 6.460e-04, eta: 2:07:26, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1759, loss: 3.1759 2025-05-01 00:50:30,900 - pyskl - INFO - Epoch [135][700/1027] lr: 6.379e-04, eta: 2:06:38, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.2801, loss: 3.2801 2025-05-01 00:51:18,235 - pyskl - INFO - Epoch [135][800/1027] lr: 6.299e-04, eta: 2:05:49, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1691, loss: 3.1691 2025-05-01 00:52:05,989 - pyskl - INFO - Epoch [135][900/1027] lr: 6.219e-04, eta: 2:05:01, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1149, loss: 3.1149 2025-05-01 00:52:53,710 - pyskl - INFO - Epoch [135][1000/1027] lr: 6.140e-04, eta: 2:04:12, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 3.0362, loss: 3.0362 2025-05-01 00:53:07,748 - pyskl - INFO - Saving checkpoint at 135 epochs 2025-05-01 00:53:47,462 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 00:53:47,534 - pyskl - INFO - top1_acc 0.6128 top5_acc 0.8495 2025-05-01 00:53:47,534 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 00:53:47,542 - pyskl - INFO - mean_acc 0.6116 2025-05-01 00:53:47,544 - pyskl - INFO - Epoch(val) [135][413] top1_acc: 0.6128, top5_acc: 0.8495, mean_class_accuracy: 0.6116 2025-05-01 00:54:51,928 - pyskl - INFO - Epoch [136][100/1027] lr: 6.040e-04, eta: 2:03:11, time: 0.644, data_time: 0.258, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1713, loss: 3.1713 2025-05-01 00:55:36,103 - pyskl - INFO - Epoch [136][200/1027] lr: 5.962e-04, eta: 2:02:23, time: 0.442, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1881, loss: 3.1881 2025-05-01 00:56:23,066 - pyskl - INFO - Epoch [136][300/1027] lr: 5.885e-04, eta: 2:01:34, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.1484, loss: 3.1484 2025-05-01 00:57:10,895 - pyskl - INFO - Epoch [136][400/1027] lr: 5.808e-04, eta: 2:00:46, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0849, loss: 3.0849 2025-05-01 00:57:57,843 - pyskl - INFO - Epoch [136][500/1027] lr: 5.731e-04, eta: 1:59:58, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0818, loss: 3.0818 2025-05-01 00:58:46,710 - pyskl - INFO - Epoch [136][600/1027] lr: 5.655e-04, eta: 1:59:09, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0544, loss: 3.0544 2025-05-01 00:59:33,705 - pyskl - INFO - Epoch [136][700/1027] lr: 5.579e-04, eta: 1:58:21, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1314, loss: 3.1314 2025-05-01 01:00:22,230 - pyskl - INFO - Epoch [136][800/1027] lr: 5.504e-04, eta: 1:57:33, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1185, loss: 3.1185 2025-05-01 01:01:10,532 - pyskl - INFO - Epoch [136][900/1027] lr: 5.430e-04, eta: 1:56:44, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 3.1466, loss: 3.1466 2025-05-01 01:01:58,083 - pyskl - INFO - Epoch [136][1000/1027] lr: 5.356e-04, eta: 1:55:56, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0157, loss: 3.0157 2025-05-01 01:02:12,029 - pyskl - INFO - Saving checkpoint at 136 epochs 2025-05-01 01:02:52,566 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 01:02:52,638 - pyskl - INFO - top1_acc 0.6052 top5_acc 0.8462 2025-05-01 01:02:52,639 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 01:02:52,646 - pyskl - INFO - mean_acc 0.6035 2025-05-01 01:02:52,647 - pyskl - INFO - Epoch(val) [136][413] top1_acc: 0.6052, top5_acc: 0.8462, mean_class_accuracy: 0.6035 2025-05-01 01:03:56,850 - pyskl - INFO - Epoch [137][100/1027] lr: 5.262e-04, eta: 1:54:55, time: 0.642, data_time: 0.260, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0444, loss: 3.0444 2025-05-01 01:04:40,813 - pyskl - INFO - Epoch [137][200/1027] lr: 5.189e-04, eta: 1:54:06, time: 0.440, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0133, loss: 3.0133 2025-05-01 01:05:26,033 - pyskl - INFO - Epoch [137][300/1027] lr: 5.117e-04, eta: 1:53:18, time: 0.452, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1660, loss: 3.1660 2025-05-01 01:06:13,186 - pyskl - INFO - Epoch [137][400/1027] lr: 5.045e-04, eta: 1:52:29, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0799, loss: 3.0799 2025-05-01 01:07:00,762 - pyskl - INFO - Epoch [137][500/1027] lr: 4.974e-04, eta: 1:51:41, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0123, loss: 3.0123 2025-05-01 01:07:48,380 - pyskl - INFO - Epoch [137][600/1027] lr: 4.903e-04, eta: 1:50:52, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9753, loss: 2.9753 2025-05-01 01:08:36,440 - pyskl - INFO - Epoch [137][700/1027] lr: 4.832e-04, eta: 1:50:04, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0814, loss: 3.0814 2025-05-01 01:09:24,705 - pyskl - INFO - Epoch [137][800/1027] lr: 4.762e-04, eta: 1:49:16, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0233, loss: 3.0233 2025-05-01 01:10:12,572 - pyskl - INFO - Epoch [137][900/1027] lr: 4.693e-04, eta: 1:48:28, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0827, loss: 3.0827 2025-05-01 01:11:00,156 - pyskl - INFO - Epoch [137][1000/1027] lr: 4.624e-04, eta: 1:47:39, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1096, loss: 3.1096 2025-05-01 01:11:14,265 - pyskl - INFO - Saving checkpoint at 137 epochs 2025-05-01 01:11:54,277 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 01:11:54,350 - pyskl - INFO - top1_acc 0.6109 top5_acc 0.8469 2025-05-01 01:11:54,350 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 01:11:54,360 - pyskl - INFO - mean_acc 0.6094 2025-05-01 01:11:54,363 - pyskl - INFO - Epoch(val) [137][413] top1_acc: 0.6109, top5_acc: 0.8469, mean_class_accuracy: 0.6094 2025-05-01 01:12:58,764 - pyskl - INFO - Epoch [138][100/1027] lr: 4.537e-04, eta: 1:46:38, time: 0.644, data_time: 0.255, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1427, loss: 3.1427 2025-05-01 01:13:42,795 - pyskl - INFO - Epoch [138][200/1027] lr: 4.469e-04, eta: 1:45:49, time: 0.440, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.1098, loss: 3.1098 2025-05-01 01:14:28,243 - pyskl - INFO - Epoch [138][300/1027] lr: 4.402e-04, eta: 1:45:01, time: 0.454, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0323, loss: 3.0323 2025-05-01 01:15:16,930 - pyskl - INFO - Epoch [138][400/1027] lr: 4.335e-04, eta: 1:44:13, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0862, loss: 3.0862 2025-05-01 01:16:04,168 - pyskl - INFO - Epoch [138][500/1027] lr: 4.269e-04, eta: 1:43:24, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0946, loss: 3.0946 2025-05-01 01:16:52,149 - pyskl - INFO - Epoch [138][600/1027] lr: 4.203e-04, eta: 1:42:36, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 3.0964, loss: 3.0964 2025-05-01 01:17:41,337 - pyskl - INFO - Epoch [138][700/1027] lr: 4.138e-04, eta: 1:41:48, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.0779, loss: 3.0779 2025-05-01 01:18:30,950 - pyskl - INFO - Epoch [138][800/1027] lr: 4.073e-04, eta: 1:41:00, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 3.1452, loss: 3.1452 2025-05-01 01:19:21,008 - pyskl - INFO - Epoch [138][900/1027] lr: 4.009e-04, eta: 1:40:11, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.1643, loss: 3.1643 2025-05-01 01:20:11,129 - pyskl - INFO - Epoch [138][1000/1027] lr: 3.945e-04, eta: 1:39:23, time: 0.501, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0849, loss: 3.0849 2025-05-01 01:20:25,521 - pyskl - INFO - Saving checkpoint at 138 epochs 2025-05-01 01:21:06,525 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 01:21:06,596 - pyskl - INFO - top1_acc 0.6136 top5_acc 0.8480 2025-05-01 01:21:06,596 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 01:21:06,604 - pyskl - INFO - mean_acc 0.6121 2025-05-01 01:21:06,605 - pyskl - INFO - Epoch(val) [138][413] top1_acc: 0.6136, top5_acc: 0.8480, mean_class_accuracy: 0.6121 2025-05-01 01:22:11,310 - pyskl - INFO - Epoch [139][100/1027] lr: 3.865e-04, eta: 1:38:22, time: 0.647, data_time: 0.256, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0871, loss: 3.0871 2025-05-01 01:22:56,360 - pyskl - INFO - Epoch [139][200/1027] lr: 3.802e-04, eta: 1:37:34, time: 0.450, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1437, loss: 3.1437 2025-05-01 01:23:41,933 - pyskl - INFO - Epoch [139][300/1027] lr: 3.740e-04, eta: 1:36:45, time: 0.456, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0977, loss: 3.0977 2025-05-01 01:24:29,907 - pyskl - INFO - Epoch [139][400/1027] lr: 3.678e-04, eta: 1:35:57, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0853, loss: 3.0853 2025-05-01 01:25:17,053 - pyskl - INFO - Epoch [139][500/1027] lr: 3.617e-04, eta: 1:35:09, time: 0.471, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 3.0004, loss: 3.0004 2025-05-01 01:26:04,581 - pyskl - INFO - Epoch [139][600/1027] lr: 3.556e-04, eta: 1:34:20, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0136, loss: 3.0136 2025-05-01 01:26:55,146 - pyskl - INFO - Epoch [139][700/1027] lr: 3.496e-04, eta: 1:33:32, time: 0.506, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0370, loss: 3.0370 2025-05-01 01:27:47,166 - pyskl - INFO - Epoch [139][800/1027] lr: 3.437e-04, eta: 1:32:44, time: 0.520, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0746, loss: 3.0746 2025-05-01 01:28:39,183 - pyskl - INFO - Epoch [139][900/1027] lr: 3.378e-04, eta: 1:31:56, time: 0.520, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1080, loss: 3.1080 2025-05-01 01:29:31,256 - pyskl - INFO - Epoch [139][1000/1027] lr: 3.319e-04, eta: 1:31:08, time: 0.521, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.1854, loss: 3.1854 2025-05-01 01:29:46,583 - pyskl - INFO - Saving checkpoint at 139 epochs 2025-05-01 01:30:28,700 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 01:30:28,771 - pyskl - INFO - top1_acc 0.6093 top5_acc 0.8472 2025-05-01 01:30:28,772 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 01:30:28,779 - pyskl - INFO - mean_acc 0.6094 2025-05-01 01:30:28,781 - pyskl - INFO - Epoch(val) [139][413] top1_acc: 0.6093, top5_acc: 0.8472, mean_class_accuracy: 0.6094 2025-05-01 01:31:35,305 - pyskl - INFO - Epoch [140][100/1027] lr: 3.245e-04, eta: 1:30:07, time: 0.665, data_time: 0.260, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0458, loss: 3.0458 2025-05-01 01:32:21,498 - pyskl - INFO - Epoch [140][200/1027] lr: 3.188e-04, eta: 1:29:19, time: 0.462, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0795, loss: 3.0795 2025-05-01 01:33:10,352 - pyskl - INFO - Epoch [140][300/1027] lr: 3.131e-04, eta: 1:28:31, time: 0.489, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0136, loss: 3.0136 2025-05-01 01:33:59,590 - pyskl - INFO - Epoch [140][400/1027] lr: 3.074e-04, eta: 1:27:42, time: 0.492, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0584, loss: 3.0584 2025-05-01 01:34:47,891 - pyskl - INFO - Epoch [140][500/1027] lr: 3.018e-04, eta: 1:26:54, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0487, loss: 3.0487 2025-05-01 01:35:37,008 - pyskl - INFO - Epoch [140][600/1027] lr: 2.963e-04, eta: 1:26:06, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.1295, loss: 3.1295 2025-05-01 01:36:25,136 - pyskl - INFO - Epoch [140][700/1027] lr: 2.908e-04, eta: 1:25:17, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9313, loss: 2.9313 2025-05-01 01:37:12,346 - pyskl - INFO - Epoch [140][800/1027] lr: 2.854e-04, eta: 1:24:29, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1507, loss: 3.1507 2025-05-01 01:38:00,247 - pyskl - INFO - Epoch [140][900/1027] lr: 2.800e-04, eta: 1:23:41, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9607, loss: 2.9607 2025-05-01 01:38:48,123 - pyskl - INFO - Epoch [140][1000/1027] lr: 2.746e-04, eta: 1:22:52, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1033, loss: 3.1033 2025-05-01 01:39:01,881 - pyskl - INFO - Saving checkpoint at 140 epochs 2025-05-01 01:39:42,464 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 01:39:42,537 - pyskl - INFO - top1_acc 0.6105 top5_acc 0.8486 2025-05-01 01:39:42,538 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 01:39:42,545 - pyskl - INFO - mean_acc 0.6089 2025-05-01 01:39:42,547 - pyskl - INFO - Epoch(val) [140][413] top1_acc: 0.6105, top5_acc: 0.8486, mean_class_accuracy: 0.6089 2025-05-01 01:40:47,132 - pyskl - INFO - Epoch [141][100/1027] lr: 2.679e-04, eta: 1:21:51, time: 0.646, data_time: 0.265, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.1618, loss: 3.1618 2025-05-01 01:41:31,392 - pyskl - INFO - Epoch [141][200/1027] lr: 2.627e-04, eta: 1:21:03, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 2.9203, loss: 2.9203 2025-05-01 01:42:18,292 - pyskl - INFO - Epoch [141][300/1027] lr: 2.575e-04, eta: 1:20:14, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0524, loss: 3.0524 2025-05-01 01:43:06,184 - pyskl - INFO - Epoch [141][400/1027] lr: 2.524e-04, eta: 1:19:26, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0435, loss: 3.0435 2025-05-01 01:43:54,472 - pyskl - INFO - Epoch [141][500/1027] lr: 2.473e-04, eta: 1:18:38, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1334, loss: 3.1334 2025-05-01 01:44:42,360 - pyskl - INFO - Epoch [141][600/1027] lr: 2.423e-04, eta: 1:17:49, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8756, loss: 2.8756 2025-05-01 01:45:30,420 - pyskl - INFO - Epoch [141][700/1027] lr: 2.374e-04, eta: 1:17:01, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9904, loss: 2.9904 2025-05-01 01:46:18,128 - pyskl - INFO - Epoch [141][800/1027] lr: 2.324e-04, eta: 1:16:13, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0655, loss: 3.0655 2025-05-01 01:47:05,956 - pyskl - INFO - Epoch [141][900/1027] lr: 2.276e-04, eta: 1:15:24, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.2183, loss: 3.2183 2025-05-01 01:47:53,641 - pyskl - INFO - Epoch [141][1000/1027] lr: 2.227e-04, eta: 1:14:36, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1021, loss: 3.1021 2025-05-01 01:48:07,154 - pyskl - INFO - Saving checkpoint at 141 epochs 2025-05-01 01:48:47,841 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 01:48:47,913 - pyskl - INFO - top1_acc 0.6121 top5_acc 0.8468 2025-05-01 01:48:47,914 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 01:48:47,922 - pyskl - INFO - mean_acc 0.6103 2025-05-01 01:48:47,923 - pyskl - INFO - Epoch(val) [141][413] top1_acc: 0.6121, top5_acc: 0.8468, mean_class_accuracy: 0.6103 2025-05-01 01:49:52,743 - pyskl - INFO - Epoch [142][100/1027] lr: 2.167e-04, eta: 1:13:35, time: 0.648, data_time: 0.263, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9518, loss: 2.9518 2025-05-01 01:50:36,601 - pyskl - INFO - Epoch [142][200/1027] lr: 2.120e-04, eta: 1:12:46, time: 0.439, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9787, loss: 2.9787 2025-05-01 01:51:22,980 - pyskl - INFO - Epoch [142][300/1027] lr: 2.074e-04, eta: 1:11:58, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0604, loss: 3.0604 2025-05-01 01:52:10,454 - pyskl - INFO - Epoch [142][400/1027] lr: 2.028e-04, eta: 1:11:10, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0995, loss: 3.0995 2025-05-01 01:52:58,633 - pyskl - INFO - Epoch [142][500/1027] lr: 1.982e-04, eta: 1:10:21, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9960, loss: 2.9960 2025-05-01 01:53:46,483 - pyskl - INFO - Epoch [142][600/1027] lr: 1.937e-04, eta: 1:09:33, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 3.0706, loss: 3.0706 2025-05-01 01:54:34,978 - pyskl - INFO - Epoch [142][700/1027] lr: 1.893e-04, eta: 1:08:45, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9292, loss: 2.9292 2025-05-01 01:55:24,070 - pyskl - INFO - Epoch [142][800/1027] lr: 1.849e-04, eta: 1:07:57, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0231, loss: 3.0231 2025-05-01 01:56:12,338 - pyskl - INFO - Epoch [142][900/1027] lr: 1.805e-04, eta: 1:07:08, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.1222, loss: 3.1222 2025-05-01 01:56:59,938 - pyskl - INFO - Epoch [142][1000/1027] lr: 1.762e-04, eta: 1:06:20, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8929, loss: 2.8929 2025-05-01 01:57:14,096 - pyskl - INFO - Saving checkpoint at 142 epochs 2025-05-01 01:57:54,243 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 01:57:54,315 - pyskl - INFO - top1_acc 0.6143 top5_acc 0.8491 2025-05-01 01:57:54,315 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 01:57:54,322 - pyskl - INFO - mean_acc 0.6131 2025-05-01 01:57:54,324 - pyskl - INFO - Epoch(val) [142][413] top1_acc: 0.6143, top5_acc: 0.8491, mean_class_accuracy: 0.6131 2025-05-01 01:58:59,725 - pyskl - INFO - Epoch [143][100/1027] lr: 1.709e-04, eta: 1:05:19, time: 0.654, data_time: 0.272, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1418, loss: 3.1418 2025-05-01 01:59:44,252 - pyskl - INFO - Epoch [143][200/1027] lr: 1.667e-04, eta: 1:04:30, time: 0.445, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0766, loss: 3.0766 2025-05-01 02:00:31,421 - pyskl - INFO - Epoch [143][300/1027] lr: 1.626e-04, eta: 1:03:42, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0231, loss: 3.0231 2025-05-01 02:01:18,922 - pyskl - INFO - Epoch [143][400/1027] lr: 1.585e-04, eta: 1:02:54, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1320, loss: 3.1320 2025-05-01 02:02:06,354 - pyskl - INFO - Epoch [143][500/1027] lr: 1.545e-04, eta: 1:02:05, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9746, loss: 2.9746 2025-05-01 02:02:53,944 - pyskl - INFO - Epoch [143][600/1027] lr: 1.505e-04, eta: 1:01:17, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1149, loss: 3.1149 2025-05-01 02:03:41,452 - pyskl - INFO - Epoch [143][700/1027] lr: 1.466e-04, eta: 1:00:29, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9923, loss: 2.9923 2025-05-01 02:04:28,989 - pyskl - INFO - Epoch [143][800/1027] lr: 1.427e-04, eta: 0:59:40, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0625, loss: 3.0625 2025-05-01 02:05:17,508 - pyskl - INFO - Epoch [143][900/1027] lr: 1.389e-04, eta: 0:58:52, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0966, loss: 3.0966 2025-05-01 02:06:06,615 - pyskl - INFO - Epoch [143][1000/1027] lr: 1.351e-04, eta: 0:58:04, time: 0.491, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0124, loss: 3.0124 2025-05-01 02:06:20,567 - pyskl - INFO - Saving checkpoint at 143 epochs 2025-05-01 02:07:00,601 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 02:07:00,678 - pyskl - INFO - top1_acc 0.6149 top5_acc 0.8512 2025-05-01 02:07:00,679 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 02:07:00,687 - pyskl - INFO - mean_acc 0.6129 2025-05-01 02:07:00,689 - pyskl - INFO - Epoch(val) [143][413] top1_acc: 0.6149, top5_acc: 0.8512, mean_class_accuracy: 0.6129 2025-05-01 02:08:06,580 - pyskl - INFO - Epoch [144][100/1027] lr: 1.304e-04, eta: 0:57:03, time: 0.659, data_time: 0.263, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0427, loss: 3.0427 2025-05-01 02:08:50,996 - pyskl - INFO - Epoch [144][200/1027] lr: 1.268e-04, eta: 0:56:14, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0160, loss: 3.0160 2025-05-01 02:09:36,974 - pyskl - INFO - Epoch [144][300/1027] lr: 1.232e-04, eta: 0:55:26, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0353, loss: 3.0353 2025-05-01 02:10:24,396 - pyskl - INFO - Epoch [144][400/1027] lr: 1.196e-04, eta: 0:54:38, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 2.9707, loss: 2.9707 2025-05-01 02:11:10,705 - pyskl - INFO - Epoch [144][500/1027] lr: 1.162e-04, eta: 0:53:49, time: 0.463, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9882, loss: 2.9882 2025-05-01 02:11:58,869 - pyskl - INFO - Epoch [144][600/1027] lr: 1.127e-04, eta: 0:53:01, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0685, loss: 3.0685 2025-05-01 02:12:46,882 - pyskl - INFO - Epoch [144][700/1027] lr: 1.093e-04, eta: 0:52:13, time: 0.480, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9950, loss: 2.9950 2025-05-01 02:13:34,281 - pyskl - INFO - Epoch [144][800/1027] lr: 1.060e-04, eta: 0:51:24, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9344, loss: 2.9344 2025-05-01 02:14:21,586 - pyskl - INFO - Epoch [144][900/1027] lr: 1.027e-04, eta: 0:50:36, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9984, loss: 2.9984 2025-05-01 02:15:08,540 - pyskl - INFO - Epoch [144][1000/1027] lr: 9.946e-05, eta: 0:49:48, time: 0.470, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.1191, loss: 3.1191 2025-05-01 02:15:22,407 - pyskl - INFO - Saving checkpoint at 144 epochs 2025-05-01 02:16:03,397 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 02:16:03,479 - pyskl - INFO - top1_acc 0.6160 top5_acc 0.8510 2025-05-01 02:16:03,480 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 02:16:03,487 - pyskl - INFO - mean_acc 0.6142 2025-05-01 02:16:03,489 - pyskl - INFO - Epoch(val) [144][413] top1_acc: 0.6160, top5_acc: 0.8510, mean_class_accuracy: 0.6142 2025-05-01 02:17:09,646 - pyskl - INFO - Epoch [145][100/1027] lr: 9.543e-05, eta: 0:48:46, time: 0.662, data_time: 0.265, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9003, loss: 2.9003 2025-05-01 02:17:55,461 - pyskl - INFO - Epoch [145][200/1027] lr: 9.231e-05, eta: 0:47:58, time: 0.458, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1330, loss: 3.1330 2025-05-01 02:18:43,284 - pyskl - INFO - Epoch [145][300/1027] lr: 8.924e-05, eta: 0:47:10, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9526, loss: 2.9526 2025-05-01 02:19:32,842 - pyskl - INFO - Epoch [145][400/1027] lr: 8.623e-05, eta: 0:46:22, time: 0.496, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0114, loss: 3.0114 2025-05-01 02:20:21,652 - pyskl - INFO - Epoch [145][500/1027] lr: 8.327e-05, eta: 0:45:33, time: 0.488, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0879, loss: 3.0879 2025-05-01 02:21:10,321 - pyskl - INFO - Epoch [145][600/1027] lr: 8.035e-05, eta: 0:44:45, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.1703, loss: 3.1703 2025-05-01 02:21:58,649 - pyskl - INFO - Epoch [145][700/1027] lr: 7.749e-05, eta: 0:43:57, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0468, loss: 3.0468 2025-05-01 02:22:47,239 - pyskl - INFO - Epoch [145][800/1027] lr: 7.469e-05, eta: 0:43:08, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9547, loss: 2.9547 2025-05-01 02:23:35,504 - pyskl - INFO - Epoch [145][900/1027] lr: 7.193e-05, eta: 0:42:20, time: 0.483, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0207, loss: 3.0207 2025-05-01 02:24:23,657 - pyskl - INFO - Epoch [145][1000/1027] lr: 6.922e-05, eta: 0:41:32, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0886, loss: 3.0886 2025-05-01 02:24:37,720 - pyskl - INFO - Saving checkpoint at 145 epochs 2025-05-01 02:25:19,674 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 02:25:19,748 - pyskl - INFO - top1_acc 0.6189 top5_acc 0.8535 2025-05-01 02:25:19,748 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 02:25:19,757 - pyskl - INFO - mean_acc 0.6168 2025-05-01 02:25:19,823 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_130.pth was removed 2025-05-01 02:25:21,447 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_145.pth. 2025-05-01 02:25:21,449 - pyskl - INFO - Best top1_acc is 0.6189 at 145 epoch. 2025-05-01 02:25:21,452 - pyskl - INFO - Epoch(val) [145][413] top1_acc: 0.6189, top5_acc: 0.8535, mean_class_accuracy: 0.6168 2025-05-01 02:26:27,305 - pyskl - INFO - Epoch [146][100/1027] lr: 6.586e-05, eta: 0:40:31, time: 0.658, data_time: 0.256, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0029, loss: 3.0029 2025-05-01 02:27:14,874 - pyskl - INFO - Epoch [146][200/1027] lr: 6.328e-05, eta: 0:39:42, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0723, loss: 3.0723 2025-05-01 02:28:05,795 - pyskl - INFO - Epoch [146][300/1027] lr: 6.074e-05, eta: 0:38:54, time: 0.509, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0994, loss: 3.0994 2025-05-01 02:28:57,105 - pyskl - INFO - Epoch [146][400/1027] lr: 5.826e-05, eta: 0:38:06, time: 0.513, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1556, loss: 3.1556 2025-05-01 02:29:47,991 - pyskl - INFO - Epoch [146][500/1027] lr: 5.582e-05, eta: 0:37:18, time: 0.509, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0405, loss: 3.0405 2025-05-01 02:30:38,452 - pyskl - INFO - Epoch [146][600/1027] lr: 5.344e-05, eta: 0:36:30, time: 0.505, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9977, loss: 2.9977 2025-05-01 02:31:28,788 - pyskl - INFO - Epoch [146][700/1027] lr: 5.111e-05, eta: 0:35:41, time: 0.503, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0584, loss: 3.0584 2025-05-01 02:32:18,767 - pyskl - INFO - Epoch [146][800/1027] lr: 4.884e-05, eta: 0:34:53, time: 0.500, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.1444, loss: 3.1444 2025-05-01 02:33:08,499 - pyskl - INFO - Epoch [146][900/1027] lr: 4.661e-05, eta: 0:34:05, time: 0.497, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0065, loss: 3.0065 2025-05-01 02:33:59,536 - pyskl - INFO - Epoch [146][1000/1027] lr: 4.444e-05, eta: 0:33:17, time: 0.510, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 3.0022, loss: 3.0022 2025-05-01 02:34:14,026 - pyskl - INFO - Saving checkpoint at 146 epochs 2025-05-01 02:34:55,326 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 02:34:55,398 - pyskl - INFO - top1_acc 0.6152 top5_acc 0.8507 2025-05-01 02:34:55,399 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 02:34:55,406 - pyskl - INFO - mean_acc 0.6134 2025-05-01 02:34:55,408 - pyskl - INFO - Epoch(val) [146][413] top1_acc: 0.6152, top5_acc: 0.8507, mean_class_accuracy: 0.6134 2025-05-01 02:36:01,002 - pyskl - INFO - Epoch [147][100/1027] lr: 4.175e-05, eta: 0:32:15, time: 0.656, data_time: 0.260, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9868, loss: 2.9868 2025-05-01 02:36:47,003 - pyskl - INFO - Epoch [147][200/1027] lr: 3.970e-05, eta: 0:31:27, time: 0.460, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9227, loss: 2.9227 2025-05-01 02:37:35,364 - pyskl - INFO - Epoch [147][300/1027] lr: 3.769e-05, eta: 0:30:39, time: 0.484, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0763, loss: 3.0763 2025-05-01 02:38:25,252 - pyskl - INFO - Epoch [147][400/1027] lr: 3.574e-05, eta: 0:29:50, time: 0.499, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9097, loss: 2.9097 2025-05-01 02:39:13,933 - pyskl - INFO - Epoch [147][500/1027] lr: 3.384e-05, eta: 0:29:02, time: 0.487, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0314, loss: 3.0314 2025-05-01 02:40:02,898 - pyskl - INFO - Epoch [147][600/1027] lr: 3.199e-05, eta: 0:28:14, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0672, loss: 3.0672 2025-05-01 02:40:50,970 - pyskl - INFO - Epoch [147][700/1027] lr: 3.020e-05, eta: 0:27:26, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9603, loss: 2.9603 2025-05-01 02:41:39,118 - pyskl - INFO - Epoch [147][800/1027] lr: 2.845e-05, eta: 0:26:37, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0061, loss: 3.0061 2025-05-01 02:42:27,663 - pyskl - INFO - Epoch [147][900/1027] lr: 2.676e-05, eta: 0:25:49, time: 0.485, data_time: 0.000, memory: 7959, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 2.9326, loss: 2.9326 2025-05-01 02:43:15,082 - pyskl - INFO - Epoch [147][1000/1027] lr: 2.512e-05, eta: 0:25:01, time: 0.474, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0678, loss: 3.0678 2025-05-01 02:43:28,864 - pyskl - INFO - Saving checkpoint at 147 epochs 2025-05-01 02:44:09,314 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 02:44:09,385 - pyskl - INFO - top1_acc 0.6149 top5_acc 0.8521 2025-05-01 02:44:09,385 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 02:44:09,392 - pyskl - INFO - mean_acc 0.6137 2025-05-01 02:44:09,393 - pyskl - INFO - Epoch(val) [147][413] top1_acc: 0.6149, top5_acc: 0.8521, mean_class_accuracy: 0.6137 2025-05-01 02:45:13,917 - pyskl - INFO - Epoch [148][100/1027] lr: 2.311e-05, eta: 0:23:59, time: 0.645, data_time: 0.253, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9326, loss: 2.9326 2025-05-01 02:45:58,309 - pyskl - INFO - Epoch [148][200/1027] lr: 2.158e-05, eta: 0:23:11, time: 0.444, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0552, loss: 3.0552 2025-05-01 02:46:44,433 - pyskl - INFO - Epoch [148][300/1027] lr: 2.011e-05, eta: 0:22:23, time: 0.461, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0746, loss: 3.0746 2025-05-01 02:47:31,334 - pyskl - INFO - Epoch [148][400/1027] lr: 1.869e-05, eta: 0:21:34, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0739, loss: 3.0739 2025-05-01 02:48:20,331 - pyskl - INFO - Epoch [148][500/1027] lr: 1.732e-05, eta: 0:20:46, time: 0.490, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0052, loss: 3.0052 2025-05-01 02:49:08,155 - pyskl - INFO - Epoch [148][600/1027] lr: 1.601e-05, eta: 0:19:58, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0066, loss: 3.0066 2025-05-01 02:49:55,815 - pyskl - INFO - Epoch [148][700/1027] lr: 1.475e-05, eta: 0:19:09, time: 0.477, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0383, loss: 3.0383 2025-05-01 02:50:43,033 - pyskl - INFO - Epoch [148][800/1027] lr: 1.353e-05, eta: 0:18:21, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0818, loss: 3.0818 2025-05-01 02:51:30,930 - pyskl - INFO - Epoch [148][900/1027] lr: 1.237e-05, eta: 0:17:33, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9892, loss: 2.9892 2025-05-01 02:52:17,851 - pyskl - INFO - Epoch [148][1000/1027] lr: 1.127e-05, eta: 0:16:45, time: 0.469, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8569, loss: 2.8569 2025-05-01 02:52:31,546 - pyskl - INFO - Saving checkpoint at 148 epochs 2025-05-01 02:53:12,230 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 02:53:12,302 - pyskl - INFO - top1_acc 0.6190 top5_acc 0.8518 2025-05-01 02:53:12,302 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 02:53:12,310 - pyskl - INFO - mean_acc 0.6169 2025-05-01 02:53:12,375 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/uav_csv2/km/best_top1_acc_epoch_145.pth was removed 2025-05-01 02:53:13,988 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_148.pth. 2025-05-01 02:53:13,990 - pyskl - INFO - Best top1_acc is 0.6190 at 148 epoch. 2025-05-01 02:53:13,992 - pyskl - INFO - Epoch(val) [148][413] top1_acc: 0.6190, top5_acc: 0.8518, mean_class_accuracy: 0.6169 2025-05-01 02:54:18,013 - pyskl - INFO - Epoch [149][100/1027] lr: 9.933e-06, eta: 0:15:43, time: 0.640, data_time: 0.258, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0027, loss: 3.0027 2025-05-01 02:55:02,284 - pyskl - INFO - Epoch [149][200/1027] lr: 8.943e-06, eta: 0:14:55, time: 0.443, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9422, loss: 2.9422 2025-05-01 02:55:48,212 - pyskl - INFO - Epoch [149][300/1027] lr: 8.005e-06, eta: 0:14:07, time: 0.459, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.1036, loss: 3.1036 2025-05-01 02:56:35,445 - pyskl - INFO - Epoch [149][400/1027] lr: 7.119e-06, eta: 0:13:18, time: 0.472, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0377, loss: 3.0377 2025-05-01 02:57:21,839 - pyskl - INFO - Epoch [149][500/1027] lr: 6.285e-06, eta: 0:12:30, time: 0.464, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 3.0417, loss: 3.0417 2025-05-01 02:58:10,056 - pyskl - INFO - Epoch [149][600/1027] lr: 5.502e-06, eta: 0:11:42, time: 0.482, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9943, loss: 2.9943 2025-05-01 02:58:58,155 - pyskl - INFO - Epoch [149][700/1027] lr: 4.772e-06, eta: 0:10:53, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9825, loss: 2.9825 2025-05-01 02:59:46,773 - pyskl - INFO - Epoch [149][800/1027] lr: 4.094e-06, eta: 0:10:05, time: 0.486, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0764, loss: 3.0764 2025-05-01 03:00:34,097 - pyskl - INFO - Epoch [149][900/1027] lr: 3.467e-06, eta: 0:09:17, time: 0.473, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9280, loss: 2.9280 2025-05-01 03:01:21,583 - pyskl - INFO - Epoch [149][1000/1027] lr: 2.893e-06, eta: 0:08:28, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9782, loss: 2.9782 2025-05-01 03:01:35,101 - pyskl - INFO - Saving checkpoint at 149 epochs 2025-05-01 03:02:15,203 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 03:02:15,275 - pyskl - INFO - top1_acc 0.6121 top5_acc 0.8483 2025-05-01 03:02:15,275 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 03:02:15,282 - pyskl - INFO - mean_acc 0.6099 2025-05-01 03:02:15,284 - pyskl - INFO - Epoch(val) [149][413] top1_acc: 0.6121, top5_acc: 0.8483, mean_class_accuracy: 0.6099 2025-05-01 03:03:19,649 - pyskl - INFO - Epoch [150][100/1027] lr: 2.238e-06, eta: 0:07:27, time: 0.644, data_time: 0.257, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0403, loss: 3.0403 2025-05-01 03:04:03,690 - pyskl - INFO - Epoch [150][200/1027] lr: 1.782e-06, eta: 0:06:39, time: 0.440, data_time: 0.000, memory: 7959, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 3.1056, loss: 3.1056 2025-05-01 03:04:50,290 - pyskl - INFO - Epoch [150][300/1027] lr: 1.378e-06, eta: 0:05:51, time: 0.466, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9658, loss: 2.9658 2025-05-01 03:05:37,778 - pyskl - INFO - Epoch [150][400/1027] lr: 1.025e-06, eta: 0:05:02, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 3.0670, loss: 3.0670 2025-05-01 03:06:25,604 - pyskl - INFO - Epoch [150][500/1027] lr: 7.246e-07, eta: 0:04:14, time: 0.478, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.1623, loss: 3.1623 2025-05-01 03:07:13,160 - pyskl - INFO - Epoch [150][600/1027] lr: 4.761e-07, eta: 0:03:26, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9943, loss: 2.9943 2025-05-01 03:08:01,283 - pyskl - INFO - Epoch [150][700/1027] lr: 2.796e-07, eta: 0:02:37, time: 0.481, data_time: 0.000, memory: 7959, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9612, loss: 2.9612 2025-05-01 03:08:48,738 - pyskl - INFO - Epoch [150][800/1027] lr: 1.351e-07, eta: 0:01:49, time: 0.475, data_time: 0.000, memory: 7959, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9204, loss: 2.9204 2025-05-01 03:09:36,381 - pyskl - INFO - Epoch [150][900/1027] lr: 4.259e-08, eta: 0:01:01, time: 0.476, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.9001, loss: 2.9001 2025-05-01 03:10:24,304 - pyskl - INFO - Epoch [150][1000/1027] lr: 2.038e-09, eta: 0:00:13, time: 0.479, data_time: 0.000, memory: 7959, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 3.0507, loss: 3.0507 2025-05-01 03:10:38,038 - pyskl - INFO - Saving checkpoint at 150 epochs 2025-05-01 03:11:18,366 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-01 03:11:18,438 - pyskl - INFO - top1_acc 0.6131 top5_acc 0.8497 2025-05-01 03:11:18,438 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-01 03:11:18,445 - pyskl - INFO - mean_acc 0.6110 2025-05-01 03:11:18,446 - pyskl - INFO - Epoch(val) [150][413] top1_acc: 0.6131, top5_acc: 0.8497, mean_class_accuracy: 0.6110 2025-05-01 03:11:27,873 - pyskl - INFO - 6599 videos remain after valid thresholding 2025-05-01 03:15:25,508 - pyskl - INFO - Testing results of the last checkpoint 2025-05-01 03:15:25,508 - pyskl - INFO - top1_acc: 0.6263 2025-05-01 03:15:25,508 - pyskl - INFO - top5_acc: 0.8613 2025-05-01 03:15:25,508 - pyskl - INFO - mean_class_accuracy: 0.6276 2025-05-01 03:15:25,509 - pyskl - INFO - load checkpoint from local path: ./work_dirs/uav_csv2/km/best_top1_acc_epoch_148.pth 2025-05-01 03:19:37,605 - pyskl - INFO - Testing results of the best checkpoint 2025-05-01 03:19:37,605 - pyskl - INFO - top1_acc: 0.6330 2025-05-01 03:19:37,605 - pyskl - INFO - top5_acc: 0.8641 2025-05-01 03:19:37,605 - pyskl - INFO - mean_class_accuracy: 0.6336