2025-05-03 07:44:02,463 - pyskl - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] CUDA available: True GPU 0: Tesla V100-PCIE-32GB CUDA_HOME: /usr/local/cuda-11.7 NVCC: Cuda compilation tools, release 11.7, V11.7.64 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 PyTorch: 1.11.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.12.0 OpenCV: 4.8.0 MMCV: 1.5.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.3 pyskl: 0.1.0+ ------------------------------------------------------------ 2025-05-03 07:44:02,702 - pyskl - INFO - Config: modality = 'bm' graph = 'coco_new' work_dir = './work_dirs/finegym/bm' model = dict( type='RecognizerGCN', backbone=dict( type='GCN_Module_LLM', llm_model='gpt4o', num_classes=99, tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], graph_cfg=dict( layout='coco_new', mode='random', num_filter=8, init_off=0.04, init_std=0.02)), cls_head=dict( type='SimpleHead', joint_cfg='coco_new', num_classes=99, in_channels=384, work_dir='./work_dirs/finegym/bm', interval_epoch=10, weight_1=0.2, weight_2=0.5)) dataset_type = 'PoseDataset' ann_file = '/data/lhd/pyskl_data/gym/gym_hrnet.pkl' left_kp = [1, 3, 5, 7, 9, 11, 13, 15] right_kp = [2, 4, 6, 8, 10, 12, 14, 16] train_pipeline = [ dict(type='UniformSampleFrames', clip_len=100), dict(type='PoseDecode'), dict( type='Flip', flip_ratio=0.5, left_kp=[1, 3, 5, 7, 9, 11, 13, 15], right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] val_pipeline = [ dict(type='UniformSampleFrames', clip_len=100, num_clips=1), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] test_pipeline = [ dict(type='UniformSampleFrames', clip_len=100, num_clips=10), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] data = dict( videos_per_gpu=16, workers_per_gpu=4, test_dataloader=dict(videos_per_gpu=1), train=dict( type='PoseDataset', ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100), dict(type='PoseDecode'), dict( type='Flip', flip_ratio=0.5, left_kp=[1, 3, 5, 7, 9, 11, 13, 15], right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='train'), val=dict( type='PoseDataset', ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100, num_clips=1), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='val'), test=dict( type='PoseDataset', ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100, num_clips=10), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['bm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='val')) optimizer = dict( type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) optimizer_config = dict(grad_clip=None) lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) total_epochs = 150 checkpoint_config = dict(interval=1) evaluation = dict( interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) dist_params = dict(backend='nccl') gpu_ids = range(0, 1) 2025-05-03 07:44:02,702 - pyskl - INFO - Set random seed to 508409640, deterministic: False 2025-05-03 07:44:10,519 - pyskl - INFO - 20484 videos remain after valid thresholding 2025-05-03 07:44:12,503 - pyskl - INFO - 8521 videos remain after valid thresholding 2025-05-03 07:44:12,509 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/finegym/bm 2025-05-03 07:44:12,509 - pyskl - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) CustomCheckpointHook (NORMAL ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) DistSamplerSeedHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CustomCheckpointHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CustomCheckpointHook (NORMAL ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2025-05-03 07:44:12,509 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2025-05-03 07:44:12,509 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/finegym/bm by HardDiskBackend. 2025-05-03 07:45:13,137 - pyskl - INFO - Epoch [1][100/1281] lr: 2.500e-02, eta: 1 day, 8:20:26, time: 0.606, data_time: 0.185, memory: 8997, top1_acc: 0.0544, top5_acc: 0.2069, loss_cls: 10.9817, loss: 10.9817 2025-05-03 07:45:54,388 - pyskl - INFO - Epoch [1][200/1281] lr: 2.500e-02, eta: 1 day, 3:09:33, time: 0.413, data_time: 0.000, memory: 8997, top1_acc: 0.0675, top5_acc: 0.2662, loss_cls: 10.3026, loss: 10.3026 2025-05-03 07:46:35,671 - pyskl - INFO - Epoch [1][300/1281] lr: 2.500e-02, eta: 1 day, 1:25:47, time: 0.413, data_time: 0.000, memory: 8997, top1_acc: 0.0694, top5_acc: 0.3056, loss_cls: 10.0042, loss: 10.0042 2025-05-03 07:47:22,529 - pyskl - INFO - Epoch [1][400/1281] lr: 2.500e-02, eta: 1 day, 1:18:06, time: 0.469, data_time: 0.000, memory: 8997, top1_acc: 0.0894, top5_acc: 0.3306, loss_cls: 9.7011, loss: 9.7011 2025-05-03 07:48:14,805 - pyskl - INFO - Epoch [1][500/1281] lr: 2.500e-02, eta: 1 day, 1:47:48, time: 0.523, data_time: 0.000, memory: 8997, top1_acc: 0.1075, top5_acc: 0.3869, loss_cls: 9.5143, loss: 9.5143 2025-05-03 07:49:11,266 - pyskl - INFO - Epoch [1][600/1281] lr: 2.500e-02, eta: 1 day, 2:29:34, time: 0.565, data_time: 0.000, memory: 8997, top1_acc: 0.1206, top5_acc: 0.3631, loss_cls: 9.4652, loss: 9.4652 2025-05-03 07:50:08,471 - pyskl - INFO - Epoch [1][700/1281] lr: 2.500e-02, eta: 1 day, 3:02:32, time: 0.572, data_time: 0.000, memory: 8997, top1_acc: 0.1281, top5_acc: 0.4138, loss_cls: 9.2397, loss: 9.2397 2025-05-03 07:51:04,901 - pyskl - INFO - Epoch [1][800/1281] lr: 2.500e-02, eta: 1 day, 3:23:56, time: 0.564, data_time: 0.000, memory: 8997, top1_acc: 0.1412, top5_acc: 0.4544, loss_cls: 8.9470, loss: 8.9470 2025-05-03 07:52:01,764 - pyskl - INFO - Epoch [1][900/1281] lr: 2.500e-02, eta: 1 day, 3:41:53, time: 0.569, data_time: 0.000, memory: 8997, top1_acc: 0.1456, top5_acc: 0.4581, loss_cls: 8.8399, loss: 8.8399 2025-05-03 07:52:59,914 - pyskl - INFO - Epoch [1][1000/1281] lr: 2.500e-02, eta: 1 day, 4:00:10, time: 0.581, data_time: 0.000, memory: 8997, top1_acc: 0.1456, top5_acc: 0.4844, loss_cls: 8.7021, loss: 8.7021 2025-05-03 07:53:58,765 - pyskl - INFO - Epoch [1][1100/1281] lr: 2.500e-02, eta: 1 day, 4:16:59, time: 0.589, data_time: 0.000, memory: 8997, top1_acc: 0.1938, top5_acc: 0.5244, loss_cls: 8.3041, loss: 8.3041 2025-05-03 07:54:57,068 - pyskl - INFO - Epoch [1][1200/1281] lr: 2.500e-02, eta: 1 day, 4:29:23, time: 0.583, data_time: 0.000, memory: 8997, top1_acc: 0.2356, top5_acc: 0.5669, loss_cls: 8.0678, loss: 8.0678 2025-05-03 07:55:44,657 - pyskl - INFO - Saving checkpoint at 1 epochs 2025-05-03 07:56:33,607 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 07:56:33,662 - pyskl - INFO - top1_acc 0.1926 top5_acc 0.5288 2025-05-03 07:56:33,663 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 07:56:33,670 - pyskl - INFO - mean_acc 0.0822 2025-05-03 07:56:35,390 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2025-05-03 07:56:35,390 - pyskl - INFO - Best top1_acc is 0.1926 at 1 epoch. 2025-05-03 07:56:35,394 - pyskl - INFO - Epoch(val) [1][533] top1_acc: 0.1926, top5_acc: 0.5288, mean_class_accuracy: 0.0822 2025-05-03 07:57:41,305 - pyskl - INFO - Epoch [2][100/1281] lr: 2.500e-02, eta: 1 day, 3:15:40, time: 0.659, data_time: 0.181, memory: 8997, top1_acc: 0.2606, top5_acc: 0.6125, loss_cls: 7.7162, loss: 7.7162 2025-05-03 07:58:35,089 - pyskl - INFO - Epoch [2][200/1281] lr: 2.500e-02, eta: 1 day, 3:19:49, time: 0.538, data_time: 0.000, memory: 8997, top1_acc: 0.2969, top5_acc: 0.6731, loss_cls: 7.3276, loss: 7.3276 2025-05-03 07:59:31,054 - pyskl - INFO - Epoch [2][300/1281] lr: 2.500e-02, eta: 1 day, 3:27:43, time: 0.560, data_time: 0.000, memory: 8997, top1_acc: 0.3281, top5_acc: 0.7087, loss_cls: 7.1690, loss: 7.1690 2025-05-03 08:00:26,971 - pyskl - INFO - Epoch [2][400/1281] lr: 2.500e-02, eta: 1 day, 3:34:29, time: 0.559, data_time: 0.000, memory: 8997, top1_acc: 0.3600, top5_acc: 0.7456, loss_cls: 6.8764, loss: 6.8764 2025-05-03 08:01:22,484 - pyskl - INFO - Epoch [2][500/1281] lr: 2.499e-02, eta: 1 day, 3:39:40, time: 0.555, data_time: 0.000, memory: 8997, top1_acc: 0.3987, top5_acc: 0.7775, loss_cls: 6.6018, loss: 6.6018 2025-05-03 08:02:18,119 - pyskl - INFO - Epoch [2][600/1281] lr: 2.499e-02, eta: 1 day, 3:44:24, time: 0.556, data_time: 0.000, memory: 8997, top1_acc: 0.3894, top5_acc: 0.7738, loss_cls: 6.5718, loss: 6.5718 2025-05-03 08:03:13,566 - pyskl - INFO - Epoch [2][700/1281] lr: 2.499e-02, eta: 1 day, 3:48:15, time: 0.554, data_time: 0.000, memory: 8997, top1_acc: 0.3994, top5_acc: 0.7994, loss_cls: 6.4360, loss: 6.4360 2025-05-03 08:04:08,672 - pyskl - INFO - Epoch [2][800/1281] lr: 2.499e-02, eta: 1 day, 3:51:08, time: 0.551, data_time: 0.000, memory: 8997, top1_acc: 0.4213, top5_acc: 0.8119, loss_cls: 6.3202, loss: 6.3202 2025-05-03 08:05:04,071 - pyskl - INFO - Epoch [2][900/1281] lr: 2.499e-02, eta: 1 day, 3:54:06, time: 0.554, data_time: 0.000, memory: 8997, top1_acc: 0.4562, top5_acc: 0.8363, loss_cls: 6.0206, loss: 6.0206 2025-05-03 08:05:59,383 - pyskl - INFO - Epoch [2][1000/1281] lr: 2.499e-02, eta: 1 day, 3:56:36, time: 0.553, data_time: 0.000, memory: 8997, top1_acc: 0.4544, top5_acc: 0.8494, loss_cls: 5.8890, loss: 5.8890 2025-05-03 08:06:56,189 - pyskl - INFO - Epoch [2][1100/1281] lr: 2.499e-02, eta: 1 day, 4:00:48, time: 0.568, data_time: 0.000, memory: 8997, top1_acc: 0.4500, top5_acc: 0.8550, loss_cls: 5.9988, loss: 5.9988 2025-05-03 08:07:52,560 - pyskl - INFO - Epoch [2][1200/1281] lr: 2.499e-02, eta: 1 day, 4:04:01, time: 0.564, data_time: 0.000, memory: 8997, top1_acc: 0.4713, top5_acc: 0.8612, loss_cls: 5.8447, loss: 5.8447 2025-05-03 08:08:38,200 - pyskl - INFO - Saving checkpoint at 2 epochs 2025-05-03 08:09:26,002 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 08:09:26,059 - pyskl - INFO - top1_acc 0.4880 top5_acc 0.8722 2025-05-03 08:09:26,059 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 08:09:26,067 - pyskl - INFO - mean_acc 0.2832 2025-05-03 08:09:26,133 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_1.pth was removed 2025-05-03 08:09:27,702 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2025-05-03 08:09:27,702 - pyskl - INFO - Best top1_acc is 0.4880 at 2 epoch. 2025-05-03 08:09:27,706 - pyskl - INFO - Epoch(val) [2][533] top1_acc: 0.4880, top5_acc: 0.8722, mean_class_accuracy: 0.2832 2025-05-03 08:10:31,716 - pyskl - INFO - Epoch [3][100/1281] lr: 2.499e-02, eta: 1 day, 3:23:57, time: 0.640, data_time: 0.180, memory: 8997, top1_acc: 0.4988, top5_acc: 0.8925, loss_cls: 5.5670, loss: 5.5670 2025-05-03 08:11:24,751 - pyskl - INFO - Epoch [3][200/1281] lr: 2.499e-02, eta: 1 day, 3:24:12, time: 0.530, data_time: 0.000, memory: 8997, top1_acc: 0.5088, top5_acc: 0.9044, loss_cls: 5.5542, loss: 5.5542 2025-05-03 08:12:19,425 - pyskl - INFO - Epoch [3][300/1281] lr: 2.499e-02, eta: 1 day, 3:26:11, time: 0.547, data_time: 0.000, memory: 8997, top1_acc: 0.5475, top5_acc: 0.9181, loss_cls: 5.2766, loss: 5.2766 2025-05-03 08:13:14,837 - pyskl - INFO - Epoch [3][400/1281] lr: 2.499e-02, eta: 1 day, 3:28:45, time: 0.554, data_time: 0.000, memory: 8997, top1_acc: 0.5244, top5_acc: 0.9025, loss_cls: 5.4370, loss: 5.4370 2025-05-03 08:14:10,686 - pyskl - INFO - Epoch [3][500/1281] lr: 2.498e-02, eta: 1 day, 3:31:32, time: 0.558, data_time: 0.000, memory: 8997, top1_acc: 0.5419, top5_acc: 0.9181, loss_cls: 5.2312, loss: 5.2312 2025-05-03 08:15:05,946 - pyskl - INFO - Epoch [3][600/1281] lr: 2.498e-02, eta: 1 day, 3:33:31, time: 0.553, data_time: 0.000, memory: 8997, top1_acc: 0.5450, top5_acc: 0.9187, loss_cls: 5.3567, loss: 5.3567 2025-05-03 08:16:01,115 - pyskl - INFO - Epoch [3][700/1281] lr: 2.498e-02, eta: 1 day, 3:35:13, time: 0.552, data_time: 0.000, memory: 8997, top1_acc: 0.5619, top5_acc: 0.9213, loss_cls: 5.1774, loss: 5.1774 2025-05-03 08:16:56,324 - pyskl - INFO - Epoch [3][800/1281] lr: 2.498e-02, eta: 1 day, 3:36:48, time: 0.552, data_time: 0.000, memory: 8997, top1_acc: 0.5675, top5_acc: 0.9287, loss_cls: 5.1384, loss: 5.1384 2025-05-03 08:17:52,208 - pyskl - INFO - Epoch [3][900/1281] lr: 2.498e-02, eta: 1 day, 3:38:51, time: 0.559, data_time: 0.000, memory: 8997, top1_acc: 0.5806, top5_acc: 0.9319, loss_cls: 5.0921, loss: 5.0921 2025-05-03 08:18:48,036 - pyskl - INFO - Epoch [3][1000/1281] lr: 2.498e-02, eta: 1 day, 3:40:41, time: 0.558, data_time: 0.000, memory: 8997, top1_acc: 0.5819, top5_acc: 0.9500, loss_cls: 4.9403, loss: 4.9403 2025-05-03 08:19:44,181 - pyskl - INFO - Epoch [3][1100/1281] lr: 2.498e-02, eta: 1 day, 3:42:39, time: 0.561, data_time: 0.000, memory: 8997, top1_acc: 0.6031, top5_acc: 0.9475, loss_cls: 4.9735, loss: 4.9735 2025-05-03 08:20:40,902 - pyskl - INFO - Epoch [3][1200/1281] lr: 2.498e-02, eta: 1 day, 3:44:56, time: 0.567, data_time: 0.000, memory: 8997, top1_acc: 0.5919, top5_acc: 0.9431, loss_cls: 5.0053, loss: 5.0053 2025-05-03 08:21:26,610 - pyskl - INFO - Saving checkpoint at 3 epochs 2025-05-03 08:22:13,534 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 08:22:13,590 - pyskl - INFO - top1_acc 0.5714 top5_acc 0.9276 2025-05-03 08:22:13,590 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 08:22:13,598 - pyskl - INFO - mean_acc 0.3925 2025-05-03 08:22:13,657 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_2.pth was removed 2025-05-03 08:22:15,252 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2025-05-03 08:22:15,253 - pyskl - INFO - Best top1_acc is 0.5714 at 3 epoch. 2025-05-03 08:22:15,258 - pyskl - INFO - Epoch(val) [3][533] top1_acc: 0.5714, top5_acc: 0.9276, mean_class_accuracy: 0.3925 2025-05-03 08:23:21,683 - pyskl - INFO - Epoch [4][100/1281] lr: 2.497e-02, eta: 1 day, 3:19:49, time: 0.664, data_time: 0.184, memory: 8997, top1_acc: 0.6062, top5_acc: 0.9581, loss_cls: 4.8332, loss: 4.8332 2025-05-03 08:24:17,136 - pyskl - INFO - Epoch [4][200/1281] lr: 2.497e-02, eta: 1 day, 3:21:24, time: 0.555, data_time: 0.000, memory: 8997, top1_acc: 0.6388, top5_acc: 0.9563, loss_cls: 4.6816, loss: 4.6816 2025-05-03 08:25:14,098 - pyskl - INFO - Epoch [4][300/1281] lr: 2.497e-02, eta: 1 day, 3:24:01, time: 0.570, data_time: 0.000, memory: 8997, top1_acc: 0.6406, top5_acc: 0.9544, loss_cls: 4.7069, loss: 4.7069 2025-05-03 08:26:11,515 - pyskl - INFO - Epoch [4][400/1281] lr: 2.497e-02, eta: 1 day, 3:26:48, time: 0.574, data_time: 0.000, memory: 8997, top1_acc: 0.6525, top5_acc: 0.9525, loss_cls: 4.8128, loss: 4.8128 2025-05-03 08:27:09,019 - pyskl - INFO - Epoch [4][500/1281] lr: 2.497e-02, eta: 1 day, 3:29:28, time: 0.575, data_time: 0.000, memory: 8997, top1_acc: 0.6312, top5_acc: 0.9556, loss_cls: 4.7156, loss: 4.7156 2025-05-03 08:28:05,631 - pyskl - INFO - Epoch [4][600/1281] lr: 2.497e-02, eta: 1 day, 3:31:21, time: 0.566, data_time: 0.000, memory: 8997, top1_acc: 0.6138, top5_acc: 0.9500, loss_cls: 4.8784, loss: 4.8784 2025-05-03 08:29:02,366 - pyskl - INFO - Epoch [4][700/1281] lr: 2.497e-02, eta: 1 day, 3:33:11, time: 0.567, data_time: 0.000, memory: 8997, top1_acc: 0.6450, top5_acc: 0.9656, loss_cls: 4.5487, loss: 4.5487 2025-05-03 08:29:58,014 - pyskl - INFO - Epoch [4][800/1281] lr: 2.496e-02, eta: 1 day, 3:34:10, time: 0.556, data_time: 0.000, memory: 8997, top1_acc: 0.6306, top5_acc: 0.9469, loss_cls: 4.7776, loss: 4.7776 2025-05-03 08:30:54,101 - pyskl - INFO - Epoch [4][900/1281] lr: 2.496e-02, eta: 1 day, 3:35:22, time: 0.561, data_time: 0.000, memory: 8997, top1_acc: 0.6312, top5_acc: 0.9613, loss_cls: 4.6913, loss: 4.6913 2025-05-03 08:31:49,429 - pyskl - INFO - Epoch [4][1000/1281] lr: 2.496e-02, eta: 1 day, 3:35:59, time: 0.553, data_time: 0.000, memory: 8997, top1_acc: 0.6488, top5_acc: 0.9519, loss_cls: 4.5771, loss: 4.5771 2025-05-03 08:32:44,816 - pyskl - INFO - Epoch [4][1100/1281] lr: 2.496e-02, eta: 1 day, 3:36:34, time: 0.554, data_time: 0.000, memory: 8997, top1_acc: 0.6562, top5_acc: 0.9637, loss_cls: 4.4895, loss: 4.4895 2025-05-03 08:33:41,019 - pyskl - INFO - Epoch [4][1200/1281] lr: 2.496e-02, eta: 1 day, 3:37:37, time: 0.562, data_time: 0.000, memory: 8997, top1_acc: 0.6756, top5_acc: 0.9688, loss_cls: 4.5157, loss: 4.5157 2025-05-03 08:34:26,859 - pyskl - INFO - Saving checkpoint at 4 epochs 2025-05-03 08:35:14,235 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 08:35:14,292 - pyskl - INFO - top1_acc 0.6341 top5_acc 0.9396 2025-05-03 08:35:14,292 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 08:35:14,300 - pyskl - INFO - mean_acc 0.4610 2025-05-03 08:35:14,360 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_3.pth was removed 2025-05-03 08:35:15,905 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2025-05-03 08:35:15,906 - pyskl - INFO - Best top1_acc is 0.6341 at 4 epoch. 2025-05-03 08:35:15,910 - pyskl - INFO - Epoch(val) [4][533] top1_acc: 0.6341, top5_acc: 0.9396, mean_class_accuracy: 0.4610 2025-05-03 08:36:20,146 - pyskl - INFO - Epoch [5][100/1281] lr: 2.495e-02, eta: 1 day, 3:16:56, time: 0.642, data_time: 0.182, memory: 8999, top1_acc: 0.7037, top5_acc: 0.9750, loss_cls: 4.3400, loss: 4.3400 2025-05-03 08:37:13,733 - pyskl - INFO - Epoch [5][200/1281] lr: 2.495e-02, eta: 1 day, 3:16:40, time: 0.536, data_time: 0.000, memory: 8999, top1_acc: 0.6906, top5_acc: 0.9725, loss_cls: 4.3550, loss: 4.3550 2025-05-03 08:38:09,645 - pyskl - INFO - Epoch [5][300/1281] lr: 2.495e-02, eta: 1 day, 3:17:43, time: 0.559, data_time: 0.000, memory: 8999, top1_acc: 0.7037, top5_acc: 0.9681, loss_cls: 4.3146, loss: 4.3146 2025-05-03 08:39:04,625 - pyskl - INFO - Epoch [5][400/1281] lr: 2.495e-02, eta: 1 day, 3:18:10, time: 0.550, data_time: 0.000, memory: 8999, top1_acc: 0.6850, top5_acc: 0.9650, loss_cls: 4.4137, loss: 4.4137 2025-05-03 08:39:59,865 - pyskl - INFO - Epoch [5][500/1281] lr: 2.495e-02, eta: 1 day, 3:18:43, time: 0.552, data_time: 0.000, memory: 8999, top1_acc: 0.6900, top5_acc: 0.9688, loss_cls: 4.3602, loss: 4.3602 2025-05-03 08:40:56,050 - pyskl - INFO - Epoch [5][600/1281] lr: 2.495e-02, eta: 1 day, 3:19:43, time: 0.562, data_time: 0.000, memory: 8999, top1_acc: 0.7019, top5_acc: 0.9750, loss_cls: 4.2771, loss: 4.2771 2025-05-03 08:41:52,452 - pyskl - INFO - Epoch [5][700/1281] lr: 2.494e-02, eta: 1 day, 3:20:46, time: 0.564, data_time: 0.000, memory: 8999, top1_acc: 0.6869, top5_acc: 0.9669, loss_cls: 4.3999, loss: 4.3999 2025-05-03 08:42:49,970 - pyskl - INFO - Epoch [5][800/1281] lr: 2.494e-02, eta: 1 day, 3:22:20, time: 0.575, data_time: 0.000, memory: 8999, top1_acc: 0.6863, top5_acc: 0.9712, loss_cls: 4.3314, loss: 4.3314 2025-05-03 08:43:47,698 - pyskl - INFO - Epoch [5][900/1281] lr: 2.494e-02, eta: 1 day, 3:23:56, time: 0.577, data_time: 0.000, memory: 8999, top1_acc: 0.6894, top5_acc: 0.9581, loss_cls: 4.3254, loss: 4.3254 2025-05-03 08:44:46,147 - pyskl - INFO - Epoch [5][1000/1281] lr: 2.494e-02, eta: 1 day, 3:25:49, time: 0.584, data_time: 0.000, memory: 8999, top1_acc: 0.6869, top5_acc: 0.9681, loss_cls: 4.3452, loss: 4.3452 2025-05-03 08:45:44,918 - pyskl - INFO - Epoch [5][1100/1281] lr: 2.494e-02, eta: 1 day, 3:27:46, time: 0.588, data_time: 0.000, memory: 8999, top1_acc: 0.7156, top5_acc: 0.9800, loss_cls: 4.1700, loss: 4.1700 2025-05-03 08:46:43,950 - pyskl - INFO - Epoch [5][1200/1281] lr: 2.493e-02, eta: 1 day, 3:29:45, time: 0.590, data_time: 0.000, memory: 8999, top1_acc: 0.7194, top5_acc: 0.9781, loss_cls: 4.1015, loss: 4.1015 2025-05-03 08:47:32,424 - pyskl - INFO - Saving checkpoint at 5 epochs 2025-05-03 08:48:21,692 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 08:48:21,748 - pyskl - INFO - top1_acc 0.6922 top5_acc 0.9570 2025-05-03 08:48:21,748 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 08:48:21,755 - pyskl - INFO - mean_acc 0.5698 2025-05-03 08:48:21,819 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_4.pth was removed 2025-05-03 08:48:23,408 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. 2025-05-03 08:48:23,409 - pyskl - INFO - Best top1_acc is 0.6922 at 5 epoch. 2025-05-03 08:48:23,412 - pyskl - INFO - Epoch(val) [5][533] top1_acc: 0.6922, top5_acc: 0.9570, mean_class_accuracy: 0.5698 2025-05-03 08:49:30,843 - pyskl - INFO - Epoch [6][100/1281] lr: 2.493e-02, eta: 1 day, 3:14:21, time: 0.674, data_time: 0.184, memory: 8999, top1_acc: 0.7306, top5_acc: 0.9831, loss_cls: 4.0525, loss: 4.0525 2025-05-03 08:50:27,558 - pyskl - INFO - Epoch [6][200/1281] lr: 2.493e-02, eta: 1 day, 3:15:17, time: 0.567, data_time: 0.000, memory: 8999, top1_acc: 0.7475, top5_acc: 0.9831, loss_cls: 4.0196, loss: 4.0196 2025-05-03 08:51:26,222 - pyskl - INFO - Epoch [6][300/1281] lr: 2.492e-02, eta: 1 day, 3:17:04, time: 0.587, data_time: 0.000, memory: 8999, top1_acc: 0.7406, top5_acc: 0.9725, loss_cls: 4.0764, loss: 4.0764 2025-05-03 08:52:24,894 - pyskl - INFO - Epoch [6][400/1281] lr: 2.492e-02, eta: 1 day, 3:18:47, time: 0.587, data_time: 0.000, memory: 8999, top1_acc: 0.7238, top5_acc: 0.9719, loss_cls: 4.1600, loss: 4.1600 2025-05-03 08:53:22,935 - pyskl - INFO - Epoch [6][500/1281] lr: 2.492e-02, eta: 1 day, 3:20:08, time: 0.580, data_time: 0.000, memory: 8999, top1_acc: 0.7281, top5_acc: 0.9806, loss_cls: 4.0622, loss: 4.0622 2025-05-03 08:54:20,783 - pyskl - INFO - Epoch [6][600/1281] lr: 2.492e-02, eta: 1 day, 3:21:19, time: 0.578, data_time: 0.000, memory: 8999, top1_acc: 0.7163, top5_acc: 0.9762, loss_cls: 4.0714, loss: 4.0714 2025-05-03 08:55:18,087 - pyskl - INFO - Epoch [6][700/1281] lr: 2.492e-02, eta: 1 day, 3:22:13, time: 0.573, data_time: 0.000, memory: 8999, top1_acc: 0.7406, top5_acc: 0.9775, loss_cls: 4.0511, loss: 4.0511 2025-05-03 08:56:16,408 - pyskl - INFO - Epoch [6][800/1281] lr: 2.491e-02, eta: 1 day, 3:23:30, time: 0.583, data_time: 0.000, memory: 8999, top1_acc: 0.7462, top5_acc: 0.9775, loss_cls: 4.0534, loss: 4.0534 2025-05-03 08:57:15,198 - pyskl - INFO - Epoch [6][900/1281] lr: 2.491e-02, eta: 1 day, 3:24:55, time: 0.588, data_time: 0.000, memory: 8999, top1_acc: 0.7375, top5_acc: 0.9762, loss_cls: 3.8832, loss: 3.8832 2025-05-03 08:58:13,014 - pyskl - INFO - Epoch [6][1000/1281] lr: 2.491e-02, eta: 1 day, 3:25:52, time: 0.578, data_time: 0.000, memory: 8999, top1_acc: 0.7488, top5_acc: 0.9781, loss_cls: 3.9899, loss: 3.9899 2025-05-03 08:59:12,217 - pyskl - INFO - Epoch [6][1100/1281] lr: 2.491e-02, eta: 1 day, 3:27:20, time: 0.592, data_time: 0.000, memory: 8999, top1_acc: 0.7450, top5_acc: 0.9788, loss_cls: 3.9518, loss: 3.9518 2025-05-03 09:00:11,023 - pyskl - INFO - Epoch [6][1200/1281] lr: 2.490e-02, eta: 1 day, 3:28:35, time: 0.588, data_time: 0.000, memory: 8999, top1_acc: 0.7306, top5_acc: 0.9788, loss_cls: 4.0754, loss: 4.0754 2025-05-03 09:00:58,024 - pyskl - INFO - Saving checkpoint at 6 epochs 2025-05-03 09:01:46,047 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 09:01:46,104 - pyskl - INFO - top1_acc 0.6869 top5_acc 0.9485 2025-05-03 09:01:46,104 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 09:01:46,111 - pyskl - INFO - mean_acc 0.5851 2025-05-03 09:01:46,114 - pyskl - INFO - Epoch(val) [6][533] top1_acc: 0.6869, top5_acc: 0.9485, mean_class_accuracy: 0.5851 2025-05-03 09:02:51,359 - pyskl - INFO - Epoch [7][100/1281] lr: 2.490e-02, eta: 1 day, 3:14:25, time: 0.652, data_time: 0.182, memory: 8999, top1_acc: 0.7575, top5_acc: 0.9844, loss_cls: 3.8750, loss: 3.8750 2025-05-03 09:03:44,540 - pyskl - INFO - Epoch [7][200/1281] lr: 2.490e-02, eta: 1 day, 3:13:32, time: 0.532, data_time: 0.000, memory: 8999, top1_acc: 0.7844, top5_acc: 0.9844, loss_cls: 3.8179, loss: 3.8179 2025-05-03 09:04:39,905 - pyskl - INFO - Epoch [7][300/1281] lr: 2.489e-02, eta: 1 day, 3:13:29, time: 0.554, data_time: 0.000, memory: 8999, top1_acc: 0.7588, top5_acc: 0.9750, loss_cls: 3.9798, loss: 3.9798 2025-05-03 09:05:35,397 - pyskl - INFO - Epoch [7][400/1281] lr: 2.489e-02, eta: 1 day, 3:13:27, time: 0.555, data_time: 0.000, memory: 8999, top1_acc: 0.7488, top5_acc: 0.9781, loss_cls: 3.8569, loss: 3.8569 2025-05-03 09:06:31,686 - pyskl - INFO - Epoch [7][500/1281] lr: 2.489e-02, eta: 1 day, 3:13:42, time: 0.563, data_time: 0.000, memory: 8999, top1_acc: 0.7481, top5_acc: 0.9881, loss_cls: 3.9070, loss: 3.9070 2025-05-03 09:07:27,770 - pyskl - INFO - Epoch [7][600/1281] lr: 2.489e-02, eta: 1 day, 3:13:51, time: 0.561, data_time: 0.000, memory: 8999, top1_acc: 0.7675, top5_acc: 0.9825, loss_cls: 3.8705, loss: 3.8705 2025-05-03 09:08:23,733 - pyskl - INFO - Epoch [7][700/1281] lr: 2.488e-02, eta: 1 day, 3:13:56, time: 0.560, data_time: 0.000, memory: 8999, top1_acc: 0.7488, top5_acc: 0.9831, loss_cls: 3.9286, loss: 3.9286 2025-05-03 09:09:19,516 - pyskl - INFO - Epoch [7][800/1281] lr: 2.488e-02, eta: 1 day, 3:13:55, time: 0.558, data_time: 0.000, memory: 8999, top1_acc: 0.7588, top5_acc: 0.9738, loss_cls: 3.9313, loss: 3.9313 2025-05-03 09:10:14,982 - pyskl - INFO - Epoch [7][900/1281] lr: 2.488e-02, eta: 1 day, 3:13:46, time: 0.555, data_time: 0.000, memory: 8999, top1_acc: 0.7656, top5_acc: 0.9812, loss_cls: 3.7409, loss: 3.7409 2025-05-03 09:11:10,713 - pyskl - INFO - Epoch [7][1000/1281] lr: 2.487e-02, eta: 1 day, 3:13:42, time: 0.557, data_time: 0.000, memory: 8999, top1_acc: 0.7725, top5_acc: 0.9825, loss_cls: 3.8141, loss: 3.8141 2025-05-03 09:12:06,975 - pyskl - INFO - Epoch [7][1100/1281] lr: 2.487e-02, eta: 1 day, 3:13:48, time: 0.563, data_time: 0.000, memory: 8999, top1_acc: 0.7881, top5_acc: 0.9894, loss_cls: 3.7448, loss: 3.7448 2025-05-03 09:13:03,977 - pyskl - INFO - Epoch [7][1200/1281] lr: 2.487e-02, eta: 1 day, 3:14:07, time: 0.570, data_time: 0.000, memory: 8999, top1_acc: 0.7494, top5_acc: 0.9812, loss_cls: 3.8336, loss: 3.8336 2025-05-03 09:13:49,405 - pyskl - INFO - Saving checkpoint at 7 epochs 2025-05-03 09:14:36,698 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 09:14:36,759 - pyskl - INFO - top1_acc 0.7486 top5_acc 0.9721 2025-05-03 09:14:36,759 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 09:14:36,767 - pyskl - INFO - mean_acc 0.6768 2025-05-03 09:14:36,829 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_5.pth was removed 2025-05-03 09:14:38,414 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. 2025-05-03 09:14:38,415 - pyskl - INFO - Best top1_acc is 0.7486 at 7 epoch. 2025-05-03 09:14:38,419 - pyskl - INFO - Epoch(val) [7][533] top1_acc: 0.7486, top5_acc: 0.9721, mean_class_accuracy: 0.6768 2025-05-03 09:15:42,857 - pyskl - INFO - Epoch [8][100/1281] lr: 2.486e-02, eta: 1 day, 3:01:36, time: 0.644, data_time: 0.182, memory: 8999, top1_acc: 0.7856, top5_acc: 0.9875, loss_cls: 3.7058, loss: 3.7058 2025-05-03 09:16:35,310 - pyskl - INFO - Epoch [8][200/1281] lr: 2.486e-02, eta: 1 day, 3:00:29, time: 0.525, data_time: 0.000, memory: 8999, top1_acc: 0.7806, top5_acc: 0.9950, loss_cls: 3.6693, loss: 3.6693 2025-05-03 09:17:29,508 - pyskl - INFO - Epoch [8][300/1281] lr: 2.486e-02, eta: 1 day, 2:59:57, time: 0.542, data_time: 0.000, memory: 8999, top1_acc: 0.7769, top5_acc: 0.9881, loss_cls: 3.6654, loss: 3.6654 2025-05-03 09:18:23,614 - pyskl - INFO - Epoch [8][400/1281] lr: 2.485e-02, eta: 1 day, 2:59:23, time: 0.541, data_time: 0.000, memory: 8999, top1_acc: 0.7725, top5_acc: 0.9794, loss_cls: 3.7421, loss: 3.7421 2025-05-03 09:19:19,042 - pyskl - INFO - Epoch [8][500/1281] lr: 2.485e-02, eta: 1 day, 2:59:13, time: 0.554, data_time: 0.000, memory: 8999, top1_acc: 0.7844, top5_acc: 0.9831, loss_cls: 3.6319, loss: 3.6319 2025-05-03 09:20:15,080 - pyskl - INFO - Epoch [8][600/1281] lr: 2.485e-02, eta: 1 day, 2:59:15, time: 0.560, data_time: 0.000, memory: 8999, top1_acc: 0.7950, top5_acc: 0.9869, loss_cls: 3.6453, loss: 3.6453 2025-05-03 09:21:10,098 - pyskl - INFO - Epoch [8][700/1281] lr: 2.484e-02, eta: 1 day, 2:58:55, time: 0.550, data_time: 0.000, memory: 8999, top1_acc: 0.7781, top5_acc: 0.9812, loss_cls: 3.7709, loss: 3.7709 2025-05-03 09:22:07,376 - pyskl - INFO - Epoch [8][800/1281] lr: 2.484e-02, eta: 1 day, 2:59:18, time: 0.573, data_time: 0.000, memory: 8999, top1_acc: 0.7831, top5_acc: 0.9819, loss_cls: 3.7065, loss: 3.7065 2025-05-03 09:23:06,437 - pyskl - INFO - Epoch [8][900/1281] lr: 2.484e-02, eta: 1 day, 3:00:11, time: 0.591, data_time: 0.000, memory: 8999, top1_acc: 0.7844, top5_acc: 0.9894, loss_cls: 3.6891, loss: 3.6891 2025-05-03 09:24:05,158 - pyskl - INFO - Epoch [8][1000/1281] lr: 2.483e-02, eta: 1 day, 3:00:57, time: 0.587, data_time: 0.000, memory: 8999, top1_acc: 0.7975, top5_acc: 0.9912, loss_cls: 3.6161, loss: 3.6161 2025-05-03 09:25:04,801 - pyskl - INFO - Epoch [8][1100/1281] lr: 2.483e-02, eta: 1 day, 3:01:56, time: 0.596, data_time: 0.000, memory: 8999, top1_acc: 0.7994, top5_acc: 0.9875, loss_cls: 3.6984, loss: 3.6984 2025-05-03 09:26:02,458 - pyskl - INFO - Epoch [8][1200/1281] lr: 2.483e-02, eta: 1 day, 3:02:18, time: 0.577, data_time: 0.000, memory: 8999, top1_acc: 0.8006, top5_acc: 0.9812, loss_cls: 3.6717, loss: 3.6717 2025-05-03 09:26:48,903 - pyskl - INFO - Saving checkpoint at 8 epochs 2025-05-03 09:27:35,913 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 09:27:35,971 - pyskl - INFO - top1_acc 0.7361 top5_acc 0.9709 2025-05-03 09:27:35,971 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 09:27:35,979 - pyskl - INFO - mean_acc 0.6430 2025-05-03 09:27:35,983 - pyskl - INFO - Epoch(val) [8][533] top1_acc: 0.7361, top5_acc: 0.9709, mean_class_accuracy: 0.6430 2025-05-03 09:28:40,414 - pyskl - INFO - Epoch [9][100/1281] lr: 2.482e-02, eta: 1 day, 2:51:13, time: 0.644, data_time: 0.182, memory: 8999, top1_acc: 0.8075, top5_acc: 0.9881, loss_cls: 3.6383, loss: 3.6383 2025-05-03 09:29:33,095 - pyskl - INFO - Epoch [9][200/1281] lr: 2.482e-02, eta: 1 day, 2:50:11, time: 0.527, data_time: 0.000, memory: 8999, top1_acc: 0.8063, top5_acc: 0.9906, loss_cls: 3.6335, loss: 3.6335 2025-05-03 09:30:28,034 - pyskl - INFO - Epoch [9][300/1281] lr: 2.481e-02, eta: 1 day, 2:49:48, time: 0.549, data_time: 0.000, memory: 8999, top1_acc: 0.8069, top5_acc: 0.9856, loss_cls: 3.5525, loss: 3.5525 2025-05-03 09:31:23,238 - pyskl - INFO - Epoch [9][400/1281] lr: 2.481e-02, eta: 1 day, 2:49:29, time: 0.552, data_time: 0.000, memory: 8999, top1_acc: 0.8025, top5_acc: 0.9850, loss_cls: 3.6206, loss: 3.6206 2025-05-03 09:32:18,927 - pyskl - INFO - Epoch [9][500/1281] lr: 2.481e-02, eta: 1 day, 2:49:18, time: 0.557, data_time: 0.000, memory: 8999, top1_acc: 0.7944, top5_acc: 0.9912, loss_cls: 3.6305, loss: 3.6305 2025-05-03 09:33:13,976 - pyskl - INFO - Epoch [9][600/1281] lr: 2.480e-02, eta: 1 day, 2:48:55, time: 0.550, data_time: 0.000, memory: 8999, top1_acc: 0.7812, top5_acc: 0.9856, loss_cls: 3.7244, loss: 3.7244 2025-05-03 09:34:09,072 - pyskl - INFO - Epoch [9][700/1281] lr: 2.480e-02, eta: 1 day, 2:48:32, time: 0.551, data_time: 0.000, memory: 8999, top1_acc: 0.8044, top5_acc: 0.9875, loss_cls: 3.6196, loss: 3.6196 2025-05-03 09:35:05,098 - pyskl - INFO - Epoch [9][800/1281] lr: 2.480e-02, eta: 1 day, 2:48:24, time: 0.560, data_time: 0.000, memory: 8999, top1_acc: 0.7944, top5_acc: 0.9869, loss_cls: 3.6554, loss: 3.6554 2025-05-03 09:35:59,848 - pyskl - INFO - Epoch [9][900/1281] lr: 2.479e-02, eta: 1 day, 2:47:55, time: 0.548, data_time: 0.000, memory: 8999, top1_acc: 0.8131, top5_acc: 0.9906, loss_cls: 3.5715, loss: 3.5715 2025-05-03 09:36:55,120 - pyskl - INFO - Epoch [9][1000/1281] lr: 2.479e-02, eta: 1 day, 2:47:33, time: 0.553, data_time: 0.000, memory: 8999, top1_acc: 0.8075, top5_acc: 0.9881, loss_cls: 3.4989, loss: 3.4989 2025-05-03 09:37:51,301 - pyskl - INFO - Epoch [9][1100/1281] lr: 2.479e-02, eta: 1 day, 2:47:26, time: 0.562, data_time: 0.000, memory: 8999, top1_acc: 0.8037, top5_acc: 0.9925, loss_cls: 3.6224, loss: 3.6224 2025-05-03 09:38:46,436 - pyskl - INFO - Epoch [9][1200/1281] lr: 2.478e-02, eta: 1 day, 2:47:00, time: 0.551, data_time: 0.000, memory: 8999, top1_acc: 0.7994, top5_acc: 0.9881, loss_cls: 3.6800, loss: 3.6800 2025-05-03 09:39:31,861 - pyskl - INFO - Saving checkpoint at 9 epochs 2025-05-03 09:40:18,731 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 09:40:18,786 - pyskl - INFO - top1_acc 0.7682 top5_acc 0.9778 2025-05-03 09:40:18,786 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 09:40:18,793 - pyskl - INFO - mean_acc 0.7003 2025-05-03 09:40:18,852 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_7.pth was removed 2025-05-03 09:40:20,582 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. 2025-05-03 09:40:20,583 - pyskl - INFO - Best top1_acc is 0.7682 at 9 epoch. 2025-05-03 09:40:20,591 - pyskl - INFO - Epoch(val) [9][533] top1_acc: 0.7682, top5_acc: 0.9778, mean_class_accuracy: 0.7003 2025-05-03 09:41:24,900 - pyskl - INFO - Epoch [10][100/1281] lr: 2.477e-02, eta: 1 day, 2:37:03, time: 0.643, data_time: 0.183, memory: 8999, top1_acc: 0.8169, top5_acc: 0.9906, loss_cls: 3.4611, loss: 3.4611 2025-05-03 09:42:19,917 - pyskl - INFO - Epoch [10][200/1281] lr: 2.477e-02, eta: 1 day, 2:36:39, time: 0.550, data_time: 0.000, memory: 8999, top1_acc: 0.8275, top5_acc: 0.9912, loss_cls: 3.4579, loss: 3.4579 2025-05-03 09:43:17,340 - pyskl - INFO - Epoch [10][300/1281] lr: 2.477e-02, eta: 1 day, 2:36:52, time: 0.574, data_time: 0.000, memory: 8999, top1_acc: 0.8313, top5_acc: 0.9925, loss_cls: 3.4266, loss: 3.4266 2025-05-03 09:44:15,097 - pyskl - INFO - Epoch [10][400/1281] lr: 2.476e-02, eta: 1 day, 2:37:09, time: 0.578, data_time: 0.000, memory: 8999, top1_acc: 0.8194, top5_acc: 0.9862, loss_cls: 3.4774, loss: 3.4774 2025-05-03 09:45:13,267 - pyskl - INFO - Epoch [10][500/1281] lr: 2.476e-02, eta: 1 day, 2:37:31, time: 0.582, data_time: 0.000, memory: 8999, top1_acc: 0.8025, top5_acc: 0.9900, loss_cls: 3.4944, loss: 3.4944 2025-05-03 09:46:11,814 - pyskl - INFO - Epoch [10][600/1281] lr: 2.476e-02, eta: 1 day, 2:37:57, time: 0.585, data_time: 0.000, memory: 8999, top1_acc: 0.8094, top5_acc: 0.9894, loss_cls: 3.4912, loss: 3.4912 2025-05-03 09:47:10,017 - pyskl - INFO - Epoch [10][700/1281] lr: 2.475e-02, eta: 1 day, 2:38:16, time: 0.582, data_time: 0.000, memory: 8999, top1_acc: 0.8163, top5_acc: 0.9862, loss_cls: 3.5419, loss: 3.5419 2025-05-03 09:48:08,302 - pyskl - INFO - Epoch [10][800/1281] lr: 2.475e-02, eta: 1 day, 2:38:35, time: 0.583, data_time: 0.000, memory: 8999, top1_acc: 0.8069, top5_acc: 0.9844, loss_cls: 3.5539, loss: 3.5539 2025-05-03 09:49:05,982 - pyskl - INFO - Epoch [10][900/1281] lr: 2.474e-02, eta: 1 day, 2:38:45, time: 0.577, data_time: 0.000, memory: 8999, top1_acc: 0.8144, top5_acc: 0.9888, loss_cls: 3.5655, loss: 3.5655 2025-05-03 09:50:04,337 - pyskl - INFO - Epoch [10][1000/1281] lr: 2.474e-02, eta: 1 day, 2:39:03, time: 0.584, data_time: 0.000, memory: 8999, top1_acc: 0.8069, top5_acc: 0.9869, loss_cls: 3.5078, loss: 3.5078 2025-05-03 09:51:02,886 - pyskl - INFO - Epoch [10][1100/1281] lr: 2.473e-02, eta: 1 day, 2:39:22, time: 0.585, data_time: 0.000, memory: 8999, top1_acc: 0.8081, top5_acc: 0.9831, loss_cls: 3.4868, loss: 3.4868 2025-05-03 09:52:01,418 - pyskl - INFO - Epoch [10][1200/1281] lr: 2.473e-02, eta: 1 day, 2:39:40, time: 0.585, data_time: 0.000, memory: 8999, top1_acc: 0.7969, top5_acc: 0.9925, loss_cls: 3.4424, loss: 3.4424 2025-05-03 09:52:49,418 - pyskl - INFO - Saving checkpoint at 10 epochs 2025-05-03 09:53:37,343 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 09:53:37,401 - pyskl - INFO - top1_acc 0.7278 top5_acc 0.9687 2025-05-03 09:53:37,401 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 09:53:37,408 - pyskl - INFO - mean_acc 0.6647 2025-05-03 09:53:37,410 - pyskl - INFO - Epoch(val) [10][533] top1_acc: 0.7278, top5_acc: 0.9687, mean_class_accuracy: 0.6647 2025-05-03 09:54:42,077 - pyskl - INFO - Epoch [11][100/1281] lr: 2.472e-02, eta: 1 day, 2:30:37, time: 0.647, data_time: 0.182, memory: 8999, top1_acc: 0.8500, top5_acc: 0.9938, loss_cls: 3.3673, loss: 3.3673 2025-05-03 09:55:34,773 - pyskl - INFO - Epoch [11][200/1281] lr: 2.472e-02, eta: 1 day, 2:29:36, time: 0.527, data_time: 0.000, memory: 8999, top1_acc: 0.8156, top5_acc: 0.9875, loss_cls: 3.4521, loss: 3.4521 2025-05-03 09:56:29,641 - pyskl - INFO - Epoch [11][300/1281] lr: 2.471e-02, eta: 1 day, 2:29:05, time: 0.549, data_time: 0.000, memory: 8999, top1_acc: 0.8331, top5_acc: 0.9900, loss_cls: 3.3775, loss: 3.3775 2025-05-03 09:57:25,584 - pyskl - INFO - Epoch [11][400/1281] lr: 2.471e-02, eta: 1 day, 2:28:48, time: 0.559, data_time: 0.000, memory: 8999, top1_acc: 0.8244, top5_acc: 0.9944, loss_cls: 3.4817, loss: 3.4817 2025-05-03 09:58:20,168 - pyskl - INFO - Epoch [11][500/1281] lr: 2.471e-02, eta: 1 day, 2:28:13, time: 0.546, data_time: 0.000, memory: 8999, top1_acc: 0.8156, top5_acc: 0.9912, loss_cls: 3.4842, loss: 3.4842 2025-05-03 09:59:16,166 - pyskl - INFO - Epoch [11][600/1281] lr: 2.470e-02, eta: 1 day, 2:27:56, time: 0.560, data_time: 0.000, memory: 8999, top1_acc: 0.8213, top5_acc: 0.9881, loss_cls: 3.4786, loss: 3.4786 2025-05-03 10:00:12,850 - pyskl - INFO - Epoch [11][700/1281] lr: 2.470e-02, eta: 1 day, 2:27:47, time: 0.567, data_time: 0.000, memory: 8999, top1_acc: 0.8050, top5_acc: 0.9938, loss_cls: 3.4879, loss: 3.4879 2025-05-03 10:01:08,606 - pyskl - INFO - Epoch [11][800/1281] lr: 2.469e-02, eta: 1 day, 2:27:25, time: 0.558, data_time: 0.000, memory: 8999, top1_acc: 0.8113, top5_acc: 0.9862, loss_cls: 3.4516, loss: 3.4516 2025-05-03 10:02:05,065 - pyskl - INFO - Epoch [11][900/1281] lr: 2.469e-02, eta: 1 day, 2:27:13, time: 0.565, data_time: 0.000, memory: 8999, top1_acc: 0.8325, top5_acc: 0.9875, loss_cls: 3.3331, loss: 3.3331 2025-05-03 10:03:00,041 - pyskl - INFO - Epoch [11][1000/1281] lr: 2.468e-02, eta: 1 day, 2:26:40, time: 0.550, data_time: 0.000, memory: 8999, top1_acc: 0.8194, top5_acc: 0.9919, loss_cls: 3.3873, loss: 3.3873 2025-05-03 10:03:55,359 - pyskl - INFO - Epoch [11][1100/1281] lr: 2.468e-02, eta: 1 day, 2:26:11, time: 0.553, data_time: 0.000, memory: 8999, top1_acc: 0.8294, top5_acc: 0.9888, loss_cls: 3.3785, loss: 3.3785 2025-05-03 10:04:50,810 - pyskl - INFO - Epoch [11][1200/1281] lr: 2.467e-02, eta: 1 day, 2:25:44, time: 0.555, data_time: 0.000, memory: 8999, top1_acc: 0.8181, top5_acc: 0.9881, loss_cls: 3.4932, loss: 3.4932 2025-05-03 10:05:35,664 - pyskl - INFO - Saving checkpoint at 11 epochs 2025-05-03 10:06:22,654 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 10:06:22,710 - pyskl - INFO - top1_acc 0.7809 top5_acc 0.9770 2025-05-03 10:06:22,710 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 10:06:22,717 - pyskl - INFO - mean_acc 0.6937 2025-05-03 10:06:22,775 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_9.pth was removed 2025-05-03 10:06:24,528 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. 2025-05-03 10:06:24,528 - pyskl - INFO - Best top1_acc is 0.7809 at 11 epoch. 2025-05-03 10:06:24,532 - pyskl - INFO - Epoch(val) [11][533] top1_acc: 0.7809, top5_acc: 0.9770, mean_class_accuracy: 0.6937 2025-05-03 10:07:28,444 - pyskl - INFO - Epoch [12][100/1281] lr: 2.467e-02, eta: 1 day, 2:17:17, time: 0.639, data_time: 0.181, memory: 8999, top1_acc: 0.8031, top5_acc: 0.9919, loss_cls: 3.4894, loss: 3.4894 2025-05-03 10:08:20,968 - pyskl - INFO - Epoch [12][200/1281] lr: 2.466e-02, eta: 1 day, 2:16:15, time: 0.525, data_time: 0.000, memory: 8999, top1_acc: 0.8356, top5_acc: 0.9944, loss_cls: 3.2912, loss: 3.2912 2025-05-03 10:09:16,588 - pyskl - INFO - Epoch [12][300/1281] lr: 2.466e-02, eta: 1 day, 2:15:52, time: 0.556, data_time: 0.000, memory: 8999, top1_acc: 0.8169, top5_acc: 0.9919, loss_cls: 3.4114, loss: 3.4114 2025-05-03 10:10:11,470 - pyskl - INFO - Epoch [12][400/1281] lr: 2.465e-02, eta: 1 day, 2:15:20, time: 0.549, data_time: 0.000, memory: 8999, top1_acc: 0.8094, top5_acc: 0.9906, loss_cls: 3.3693, loss: 3.3693 2025-05-03 10:11:07,257 - pyskl - INFO - Epoch [12][500/1281] lr: 2.465e-02, eta: 1 day, 2:14:58, time: 0.558, data_time: 0.000, memory: 8999, top1_acc: 0.8331, top5_acc: 0.9950, loss_cls: 3.3213, loss: 3.3213 2025-05-03 10:12:02,620 - pyskl - INFO - Epoch [12][600/1281] lr: 2.464e-02, eta: 1 day, 2:14:31, time: 0.554, data_time: 0.000, memory: 8999, top1_acc: 0.8231, top5_acc: 0.9931, loss_cls: 3.2781, loss: 3.2781 2025-05-03 10:12:57,933 - pyskl - INFO - Epoch [12][700/1281] lr: 2.464e-02, eta: 1 day, 2:14:02, time: 0.553, data_time: 0.000, memory: 8999, top1_acc: 0.8287, top5_acc: 0.9938, loss_cls: 3.3993, loss: 3.3993 2025-05-03 10:13:52,730 - pyskl - INFO - Epoch [12][800/1281] lr: 2.463e-02, eta: 1 day, 2:13:27, time: 0.548, data_time: 0.000, memory: 8999, top1_acc: 0.8200, top5_acc: 0.9912, loss_cls: 3.4075, loss: 3.4075 2025-05-03 10:14:48,493 - pyskl - INFO - Epoch [12][900/1281] lr: 2.463e-02, eta: 1 day, 2:13:04, time: 0.558, data_time: 0.000, memory: 8999, top1_acc: 0.8519, top5_acc: 0.9925, loss_cls: 3.2663, loss: 3.2663 2025-05-03 10:15:43,563 - pyskl - INFO - Epoch [12][1000/1281] lr: 2.462e-02, eta: 1 day, 2:12:31, time: 0.551, data_time: 0.000, memory: 8999, top1_acc: 0.8237, top5_acc: 0.9850, loss_cls: 3.4362, loss: 3.4362 2025-05-03 10:16:38,465 - pyskl - INFO - Epoch [12][1100/1281] lr: 2.462e-02, eta: 1 day, 2:11:57, time: 0.549, data_time: 0.000, memory: 8999, top1_acc: 0.8044, top5_acc: 0.9869, loss_cls: 3.4392, loss: 3.4392 2025-05-03 10:17:34,642 - pyskl - INFO - Epoch [12][1200/1281] lr: 2.461e-02, eta: 1 day, 2:11:37, time: 0.562, data_time: 0.000, memory: 8999, top1_acc: 0.8219, top5_acc: 0.9919, loss_cls: 3.4205, loss: 3.4205 2025-05-03 10:18:19,688 - pyskl - INFO - Saving checkpoint at 12 epochs 2025-05-03 10:19:06,472 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 10:19:06,531 - pyskl - INFO - top1_acc 0.7443 top5_acc 0.9636 2025-05-03 10:19:06,531 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 10:19:06,539 - pyskl - INFO - mean_acc 0.6856 2025-05-03 10:19:06,541 - pyskl - INFO - Epoch(val) [12][533] top1_acc: 0.7443, top5_acc: 0.9636, mean_class_accuracy: 0.6856 2025-05-03 10:20:11,230 - pyskl - INFO - Epoch [13][100/1281] lr: 2.460e-02, eta: 1 day, 2:03:57, time: 0.647, data_time: 0.184, memory: 8999, top1_acc: 0.8413, top5_acc: 0.9906, loss_cls: 3.3124, loss: 3.3124 2025-05-03 10:21:07,076 - pyskl - INFO - Epoch [13][200/1281] lr: 2.460e-02, eta: 1 day, 2:03:35, time: 0.558, data_time: 0.000, memory: 8999, top1_acc: 0.8612, top5_acc: 0.9938, loss_cls: 3.2639, loss: 3.2639 2025-05-03 10:22:03,832 - pyskl - INFO - Epoch [13][300/1281] lr: 2.459e-02, eta: 1 day, 2:03:23, time: 0.568, data_time: 0.000, memory: 8999, top1_acc: 0.8500, top5_acc: 0.9950, loss_cls: 3.2737, loss: 3.2737 2025-05-03 10:23:01,595 - pyskl - INFO - Epoch [13][400/1281] lr: 2.459e-02, eta: 1 day, 2:03:21, time: 0.578, data_time: 0.000, memory: 8999, top1_acc: 0.8419, top5_acc: 0.9962, loss_cls: 3.3626, loss: 3.3626 2025-05-03 10:23:59,162 - pyskl - INFO - Epoch [13][500/1281] lr: 2.458e-02, eta: 1 day, 2:03:17, time: 0.576, data_time: 0.000, memory: 8999, top1_acc: 0.8337, top5_acc: 0.9875, loss_cls: 3.3242, loss: 3.3242 2025-05-03 10:24:56,845 - pyskl - INFO - Epoch [13][600/1281] lr: 2.458e-02, eta: 1 day, 2:03:13, time: 0.577, data_time: 0.000, memory: 8999, top1_acc: 0.8400, top5_acc: 0.9900, loss_cls: 3.3105, loss: 3.3105 2025-05-03 10:25:53,986 - pyskl - INFO - Epoch [13][700/1281] lr: 2.457e-02, eta: 1 day, 2:03:02, time: 0.571, data_time: 0.000, memory: 8999, top1_acc: 0.8250, top5_acc: 0.9875, loss_cls: 3.4024, loss: 3.4024 2025-05-03 10:26:51,144 - pyskl - INFO - Epoch [13][800/1281] lr: 2.457e-02, eta: 1 day, 2:02:51, time: 0.572, data_time: 0.000, memory: 8999, top1_acc: 0.8287, top5_acc: 0.9906, loss_cls: 3.3866, loss: 3.3866 2025-05-03 10:27:45,973 - pyskl - INFO - Epoch [13][900/1281] lr: 2.456e-02, eta: 1 day, 2:02:15, time: 0.548, data_time: 0.000, memory: 8999, top1_acc: 0.8344, top5_acc: 0.9906, loss_cls: 3.3716, loss: 3.3716 2025-05-03 10:28:41,193 - pyskl - INFO - Epoch [13][1000/1281] lr: 2.455e-02, eta: 1 day, 2:01:42, time: 0.552, data_time: 0.000, memory: 8999, top1_acc: 0.8287, top5_acc: 0.9881, loss_cls: 3.3752, loss: 3.3752 2025-05-03 10:29:36,261 - pyskl - INFO - Epoch [13][1100/1281] lr: 2.455e-02, eta: 1 day, 2:01:08, time: 0.551, data_time: 0.000, memory: 8999, top1_acc: 0.8275, top5_acc: 0.9925, loss_cls: 3.3473, loss: 3.3473 2025-05-03 10:30:32,022 - pyskl - INFO - Epoch [13][1200/1281] lr: 2.454e-02, eta: 1 day, 2:00:40, time: 0.558, data_time: 0.000, memory: 8999, top1_acc: 0.8244, top5_acc: 0.9925, loss_cls: 3.3078, loss: 3.3078 2025-05-03 10:31:18,665 - pyskl - INFO - Saving checkpoint at 13 epochs 2025-05-03 10:32:05,763 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 10:32:05,833 - pyskl - INFO - top1_acc 0.7998 top5_acc 0.9791 2025-05-03 10:32:05,833 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 10:32:05,840 - pyskl - INFO - mean_acc 0.7242 2025-05-03 10:32:05,902 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_11.pth was removed 2025-05-03 10:32:07,545 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. 2025-05-03 10:32:07,546 - pyskl - INFO - Best top1_acc is 0.7998 at 13 epoch. 2025-05-03 10:32:07,551 - pyskl - INFO - Epoch(val) [13][533] top1_acc: 0.7998, top5_acc: 0.9791, mean_class_accuracy: 0.7242 2025-05-03 10:33:12,025 - pyskl - INFO - Epoch [14][100/1281] lr: 2.453e-02, eta: 1 day, 1:53:28, time: 0.645, data_time: 0.182, memory: 8999, top1_acc: 0.8506, top5_acc: 0.9912, loss_cls: 3.2696, loss: 3.2696 2025-05-03 10:34:05,597 - pyskl - INFO - Epoch [14][200/1281] lr: 2.453e-02, eta: 1 day, 1:52:39, time: 0.536, data_time: 0.000, memory: 8999, top1_acc: 0.8337, top5_acc: 0.9912, loss_cls: 3.2006, loss: 3.2006 2025-05-03 10:35:00,039 - pyskl - INFO - Epoch [14][300/1281] lr: 2.452e-02, eta: 1 day, 1:51:59, time: 0.544, data_time: 0.000, memory: 8999, top1_acc: 0.8469, top5_acc: 0.9956, loss_cls: 3.2504, loss: 3.2504 2025-05-03 10:35:55,778 - pyskl - INFO - Epoch [14][400/1281] lr: 2.452e-02, eta: 1 day, 1:51:33, time: 0.557, data_time: 0.000, memory: 8999, top1_acc: 0.8275, top5_acc: 0.9862, loss_cls: 3.3190, loss: 3.3190 2025-05-03 10:36:51,967 - pyskl - INFO - Epoch [14][500/1281] lr: 2.451e-02, eta: 1 day, 1:51:11, time: 0.562, data_time: 0.000, memory: 8999, top1_acc: 0.8450, top5_acc: 0.9888, loss_cls: 3.2964, loss: 3.2964 2025-05-03 10:37:47,682 - pyskl - INFO - Epoch [14][600/1281] lr: 2.451e-02, eta: 1 day, 1:50:43, time: 0.557, data_time: 0.000, memory: 8999, top1_acc: 0.8462, top5_acc: 0.9900, loss_cls: 3.2373, loss: 3.2373 2025-05-03 10:38:43,374 - pyskl - INFO - Epoch [14][700/1281] lr: 2.450e-02, eta: 1 day, 1:50:15, time: 0.557, data_time: 0.000, memory: 8999, top1_acc: 0.8444, top5_acc: 0.9919, loss_cls: 3.2312, loss: 3.2312 2025-05-03 10:39:39,170 - pyskl - INFO - Epoch [14][800/1281] lr: 2.449e-02, eta: 1 day, 1:49:47, time: 0.558, data_time: 0.000, memory: 8999, top1_acc: 0.8344, top5_acc: 0.9881, loss_cls: 3.3589, loss: 3.3589 2025-05-03 10:40:36,160 - pyskl - INFO - Epoch [14][900/1281] lr: 2.449e-02, eta: 1 day, 1:49:32, time: 0.570, data_time: 0.000, memory: 8999, top1_acc: 0.8419, top5_acc: 0.9894, loss_cls: 3.3110, loss: 3.3110 2025-05-03 10:41:33,348 - pyskl - INFO - Epoch [14][1000/1281] lr: 2.448e-02, eta: 1 day, 1:49:17, time: 0.572, data_time: 0.000, memory: 8999, top1_acc: 0.8469, top5_acc: 0.9956, loss_cls: 3.2465, loss: 3.2465 2025-05-03 10:42:31,536 - pyskl - INFO - Epoch [14][1100/1281] lr: 2.448e-02, eta: 1 day, 1:49:12, time: 0.582, data_time: 0.000, memory: 8999, top1_acc: 0.8375, top5_acc: 0.9925, loss_cls: 3.3201, loss: 3.3201 2025-05-03 10:43:30,032 - pyskl - INFO - Epoch [14][1200/1281] lr: 2.447e-02, eta: 1 day, 1:49:10, time: 0.585, data_time: 0.000, memory: 8999, top1_acc: 0.8337, top5_acc: 0.9919, loss_cls: 3.4205, loss: 3.4205 2025-05-03 10:44:17,630 - pyskl - INFO - Saving checkpoint at 14 epochs 2025-05-03 10:45:07,760 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 10:45:07,815 - pyskl - INFO - top1_acc 0.8025 top5_acc 0.9854 2025-05-03 10:45:07,816 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 10:45:07,823 - pyskl - INFO - mean_acc 0.7297 2025-05-03 10:45:07,881 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_13.pth was removed 2025-05-03 10:45:09,514 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. 2025-05-03 10:45:09,515 - pyskl - INFO - Best top1_acc is 0.8025 at 14 epoch. 2025-05-03 10:45:09,523 - pyskl - INFO - Epoch(val) [14][533] top1_acc: 0.8025, top5_acc: 0.9854, mean_class_accuracy: 0.7297 2025-05-03 10:46:15,804 - pyskl - INFO - Epoch [15][100/1281] lr: 2.446e-02, eta: 1 day, 1:42:41, time: 0.663, data_time: 0.182, memory: 8999, top1_acc: 0.8369, top5_acc: 0.9925, loss_cls: 3.2528, loss: 3.2528 2025-05-03 10:47:11,312 - pyskl - INFO - Epoch [15][200/1281] lr: 2.445e-02, eta: 1 day, 1:42:11, time: 0.555, data_time: 0.000, memory: 8999, top1_acc: 0.8550, top5_acc: 0.9931, loss_cls: 3.1621, loss: 3.1621 2025-05-03 10:48:07,795 - pyskl - INFO - Epoch [15][300/1281] lr: 2.445e-02, eta: 1 day, 1:41:49, time: 0.565, data_time: 0.000, memory: 8999, top1_acc: 0.8669, top5_acc: 0.9931, loss_cls: 3.2090, loss: 3.2090 2025-05-03 10:49:03,270 - pyskl - INFO - Epoch [15][400/1281] lr: 2.444e-02, eta: 1 day, 1:41:17, time: 0.555, data_time: 0.000, memory: 8999, top1_acc: 0.8606, top5_acc: 0.9944, loss_cls: 3.0668, loss: 3.0668 2025-05-03 10:49:59,372 - pyskl - INFO - Epoch [15][500/1281] lr: 2.444e-02, eta: 1 day, 1:40:51, time: 0.561, data_time: 0.000, memory: 8999, top1_acc: 0.8594, top5_acc: 0.9950, loss_cls: 3.1497, loss: 3.1497 2025-05-03 10:50:55,409 - pyskl - INFO - Epoch [15][600/1281] lr: 2.443e-02, eta: 1 day, 1:40:25, time: 0.560, data_time: 0.000, memory: 8999, top1_acc: 0.8438, top5_acc: 0.9931, loss_cls: 3.3184, loss: 3.3184 2025-05-03 10:51:51,550 - pyskl - INFO - Epoch [15][700/1281] lr: 2.442e-02, eta: 1 day, 1:39:58, time: 0.561, data_time: 0.000, memory: 8999, top1_acc: 0.8581, top5_acc: 0.9912, loss_cls: 3.2148, loss: 3.2148 2025-05-03 10:52:47,342 - pyskl - INFO - Epoch [15][800/1281] lr: 2.442e-02, eta: 1 day, 1:39:29, time: 0.558, data_time: 0.000, memory: 8999, top1_acc: 0.8531, top5_acc: 0.9912, loss_cls: 3.2320, loss: 3.2320 2025-05-03 10:53:42,712 - pyskl - INFO - Epoch [15][900/1281] lr: 2.441e-02, eta: 1 day, 1:38:55, time: 0.554, data_time: 0.000, memory: 8999, top1_acc: 0.8431, top5_acc: 0.9950, loss_cls: 3.2993, loss: 3.2993 2025-05-03 10:54:37,986 - pyskl - INFO - Epoch [15][1000/1281] lr: 2.441e-02, eta: 1 day, 1:38:20, time: 0.553, data_time: 0.000, memory: 8999, top1_acc: 0.8406, top5_acc: 0.9919, loss_cls: 3.3371, loss: 3.3371 2025-05-03 10:55:33,385 - pyskl - INFO - Epoch [15][1100/1281] lr: 2.440e-02, eta: 1 day, 1:37:46, time: 0.554, data_time: 0.000, memory: 8999, top1_acc: 0.8363, top5_acc: 0.9919, loss_cls: 3.3033, loss: 3.3033 2025-05-03 10:56:28,549 - pyskl - INFO - Epoch [15][1200/1281] lr: 2.439e-02, eta: 1 day, 1:37:09, time: 0.552, data_time: 0.000, memory: 8999, top1_acc: 0.8369, top5_acc: 0.9956, loss_cls: 3.2035, loss: 3.2035 2025-05-03 10:57:13,622 - pyskl - INFO - Saving checkpoint at 15 epochs 2025-05-03 10:58:00,564 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 10:58:00,620 - pyskl - INFO - top1_acc 0.7850 top5_acc 0.9775 2025-05-03 10:58:00,621 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 10:58:00,628 - pyskl - INFO - mean_acc 0.7352 2025-05-03 10:58:00,632 - pyskl - INFO - Epoch(val) [15][533] top1_acc: 0.7850, top5_acc: 0.9775, mean_class_accuracy: 0.7352 2025-05-03 10:59:05,195 - pyskl - INFO - Epoch [16][100/1281] lr: 2.438e-02, eta: 1 day, 1:30:47, time: 0.646, data_time: 0.180, memory: 8999, top1_acc: 0.8600, top5_acc: 0.9938, loss_cls: 3.2578, loss: 3.2578 2025-05-03 10:59:57,881 - pyskl - INFO - Epoch [16][200/1281] lr: 2.438e-02, eta: 1 day, 1:29:50, time: 0.527, data_time: 0.000, memory: 8999, top1_acc: 0.8644, top5_acc: 0.9962, loss_cls: 3.0979, loss: 3.0979 2025-05-03 11:00:53,451 - pyskl - INFO - Epoch [16][300/1281] lr: 2.437e-02, eta: 1 day, 1:29:18, time: 0.556, data_time: 0.000, memory: 8999, top1_acc: 0.8481, top5_acc: 0.9912, loss_cls: 3.2693, loss: 3.2693 2025-05-03 11:01:48,947 - pyskl - INFO - Epoch [16][400/1281] lr: 2.436e-02, eta: 1 day, 1:28:46, time: 0.555, data_time: 0.000, memory: 8999, top1_acc: 0.8462, top5_acc: 0.9950, loss_cls: 3.1915, loss: 3.1915 2025-05-03 11:02:44,762 - pyskl - INFO - Epoch [16][500/1281] lr: 2.436e-02, eta: 1 day, 1:28:16, time: 0.558, data_time: 0.000, memory: 8999, top1_acc: 0.8475, top5_acc: 0.9912, loss_cls: 3.2087, loss: 3.2087 2025-05-03 11:03:40,362 - pyskl - INFO - Epoch [16][600/1281] lr: 2.435e-02, eta: 1 day, 1:27:44, time: 0.556, data_time: 0.000, memory: 8999, top1_acc: 0.8631, top5_acc: 0.9900, loss_cls: 3.2453, loss: 3.2453 2025-05-03 11:04:36,959 - pyskl - INFO - Epoch [16][700/1281] lr: 2.434e-02, eta: 1 day, 1:27:20, time: 0.566, data_time: 0.000, memory: 8999, top1_acc: 0.8394, top5_acc: 0.9875, loss_cls: 3.2786, loss: 3.2786 2025-05-03 11:05:32,370 - pyskl - INFO - Epoch [16][800/1281] lr: 2.434e-02, eta: 1 day, 1:26:46, time: 0.554, data_time: 0.000, memory: 8999, top1_acc: 0.8644, top5_acc: 0.9969, loss_cls: 3.0915, loss: 3.0915 2025-05-03 11:06:28,275 - pyskl - INFO - Epoch [16][900/1281] lr: 2.433e-02, eta: 1 day, 1:26:15, time: 0.559, data_time: 0.000, memory: 8999, top1_acc: 0.8556, top5_acc: 0.9944, loss_cls: 3.1883, loss: 3.1883 2025-05-03 11:07:23,242 - pyskl - INFO - Epoch [16][1000/1281] lr: 2.432e-02, eta: 1 day, 1:25:37, time: 0.550, data_time: 0.000, memory: 8999, top1_acc: 0.8331, top5_acc: 0.9906, loss_cls: 3.3299, loss: 3.3299 2025-05-03 11:08:19,033 - pyskl - INFO - Epoch [16][1100/1281] lr: 2.432e-02, eta: 1 day, 1:25:05, time: 0.558, data_time: 0.000, memory: 8999, top1_acc: 0.8519, top5_acc: 0.9944, loss_cls: 3.2164, loss: 3.2164 2025-05-03 11:09:14,557 - pyskl - INFO - Epoch [16][1200/1281] lr: 2.431e-02, eta: 1 day, 1:24:31, time: 0.555, data_time: 0.000, memory: 8999, top1_acc: 0.8712, top5_acc: 0.9944, loss_cls: 3.0593, loss: 3.0593 2025-05-03 11:10:00,029 - pyskl - INFO - Saving checkpoint at 16 epochs 2025-05-03 11:10:46,721 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 11:10:46,781 - pyskl - INFO - top1_acc 0.8038 top5_acc 0.9854 2025-05-03 11:10:46,781 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 11:10:46,789 - pyskl - INFO - mean_acc 0.7450 2025-05-03 11:10:46,846 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_14.pth was removed 2025-05-03 11:10:48,719 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. 2025-05-03 11:10:48,720 - pyskl - INFO - Best top1_acc is 0.8038 at 16 epoch. 2025-05-03 11:10:48,727 - pyskl - INFO - Epoch(val) [16][533] top1_acc: 0.8038, top5_acc: 0.9854, mean_class_accuracy: 0.7450 2025-05-03 11:11:53,474 - pyskl - INFO - Epoch [17][100/1281] lr: 2.430e-02, eta: 1 day, 1:18:31, time: 0.647, data_time: 0.183, memory: 8999, top1_acc: 0.8638, top5_acc: 0.9975, loss_cls: 3.0986, loss: 3.0986 2025-05-03 11:12:46,572 - pyskl - INFO - Epoch [17][200/1281] lr: 2.429e-02, eta: 1 day, 1:17:38, time: 0.531, data_time: 0.000, memory: 8999, top1_acc: 0.8638, top5_acc: 0.9944, loss_cls: 3.1853, loss: 3.1853 2025-05-03 11:13:41,368 - pyskl - INFO - Epoch [17][300/1281] lr: 2.428e-02, eta: 1 day, 1:16:59, time: 0.548, data_time: 0.000, memory: 8999, top1_acc: 0.8650, top5_acc: 0.9906, loss_cls: 3.1610, loss: 3.1610 2025-05-03 11:14:36,721 - pyskl - INFO - Epoch [17][400/1281] lr: 2.428e-02, eta: 1 day, 1:16:24, time: 0.554, data_time: 0.000, memory: 8999, top1_acc: 0.8594, top5_acc: 0.9944, loss_cls: 3.1880, loss: 3.1880 2025-05-03 11:15:32,392 - pyskl - INFO - Epoch [17][500/1281] lr: 2.427e-02, eta: 1 day, 1:15:51, time: 0.557, data_time: 0.000, memory: 8999, top1_acc: 0.8519, top5_acc: 0.9944, loss_cls: 3.2523, loss: 3.2523 2025-05-03 11:16:28,055 - pyskl - INFO - Epoch [17][600/1281] lr: 2.426e-02, eta: 1 day, 1:15:19, time: 0.557, data_time: 0.000, memory: 8999, top1_acc: 0.8494, top5_acc: 0.9944, loss_cls: 3.1248, loss: 3.1248 2025-05-03 11:17:23,573 - pyskl - INFO - Epoch [17][700/1281] lr: 2.426e-02, eta: 1 day, 1:14:45, time: 0.555, data_time: 0.000, memory: 8999, top1_acc: 0.8475, top5_acc: 0.9944, loss_cls: 3.1897, loss: 3.1897 2025-05-03 11:18:19,663 - pyskl - INFO - Epoch [17][800/1281] lr: 2.425e-02, eta: 1 day, 1:14:15, time: 0.561, data_time: 0.000, memory: 8999, top1_acc: 0.8406, top5_acc: 0.9894, loss_cls: 3.1906, loss: 3.1906 2025-05-03 11:19:16,187 - pyskl - INFO - Epoch [17][900/1281] lr: 2.424e-02, eta: 1 day, 1:13:48, time: 0.565, data_time: 0.000, memory: 8999, top1_acc: 0.8569, top5_acc: 0.9938, loss_cls: 3.1362, loss: 3.1362 2025-05-03 11:20:14,523 - pyskl - INFO - Epoch [17][1000/1281] lr: 2.424e-02, eta: 1 day, 1:13:36, time: 0.583, data_time: 0.000, memory: 8999, top1_acc: 0.8481, top5_acc: 0.9931, loss_cls: 3.2794, loss: 3.2794 2025-05-03 11:21:12,516 - pyskl - INFO - Epoch [17][1100/1281] lr: 2.423e-02, eta: 1 day, 1:13:20, time: 0.580, data_time: 0.000, memory: 8999, top1_acc: 0.8581, top5_acc: 0.9938, loss_cls: 3.1500, loss: 3.1500 2025-05-03 11:22:10,675 - pyskl - INFO - Epoch [17][1200/1281] lr: 2.422e-02, eta: 1 day, 1:13:06, time: 0.582, data_time: 0.000, memory: 8999, top1_acc: 0.8512, top5_acc: 0.9950, loss_cls: 3.1552, loss: 3.1552 2025-05-03 11:22:57,940 - pyskl - INFO - Saving checkpoint at 17 epochs 2025-05-03 11:23:46,538 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 11:23:46,594 - pyskl - INFO - top1_acc 0.8101 top5_acc 0.9833 2025-05-03 11:23:46,594 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 11:23:46,601 - pyskl - INFO - mean_acc 0.7263 2025-05-03 11:23:46,663 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_16.pth was removed 2025-05-03 11:23:48,225 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. 2025-05-03 11:23:48,226 - pyskl - INFO - Best top1_acc is 0.8101 at 17 epoch. 2025-05-03 11:23:48,230 - pyskl - INFO - Epoch(val) [17][533] top1_acc: 0.8101, top5_acc: 0.9833, mean_class_accuracy: 0.7263 2025-05-03 11:24:53,693 - pyskl - INFO - Epoch [18][100/1281] lr: 2.421e-02, eta: 1 day, 1:07:29, time: 0.655, data_time: 0.182, memory: 8999, top1_acc: 0.8581, top5_acc: 0.9919, loss_cls: 3.2145, loss: 3.2145 2025-05-03 11:25:47,274 - pyskl - INFO - Epoch [18][200/1281] lr: 2.420e-02, eta: 1 day, 1:06:39, time: 0.536, data_time: 0.000, memory: 8999, top1_acc: 0.8656, top5_acc: 0.9925, loss_cls: 3.1034, loss: 3.1034 2025-05-03 11:26:42,462 - pyskl - INFO - Epoch [18][300/1281] lr: 2.419e-02, eta: 1 day, 1:06:02, time: 0.552, data_time: 0.000, memory: 8999, top1_acc: 0.8725, top5_acc: 0.9938, loss_cls: 3.0178, loss: 3.0178 2025-05-03 11:27:38,145 - pyskl - INFO - Epoch [18][400/1281] lr: 2.419e-02, eta: 1 day, 1:05:28, time: 0.557, data_time: 0.000, memory: 8999, top1_acc: 0.8681, top5_acc: 0.9931, loss_cls: 3.1476, loss: 3.1476 2025-05-03 11:28:34,414 - pyskl - INFO - Epoch [18][500/1281] lr: 2.418e-02, eta: 1 day, 1:04:59, time: 0.563, data_time: 0.000, memory: 8999, top1_acc: 0.8400, top5_acc: 0.9931, loss_cls: 3.1902, loss: 3.1902 2025-05-03 11:29:30,886 - pyskl - INFO - Epoch [18][600/1281] lr: 2.417e-02, eta: 1 day, 1:04:31, time: 0.565, data_time: 0.000, memory: 8999, top1_acc: 0.8569, top5_acc: 0.9950, loss_cls: 3.2024, loss: 3.2024 2025-05-03 11:30:26,210 - pyskl - INFO - Epoch [18][700/1281] lr: 2.417e-02, eta: 1 day, 1:03:54, time: 0.553, data_time: 0.000, memory: 8999, top1_acc: 0.8512, top5_acc: 0.9925, loss_cls: 3.1803, loss: 3.1803 2025-05-03 11:31:23,120 - pyskl - INFO - Epoch [18][800/1281] lr: 2.416e-02, eta: 1 day, 1:03:29, time: 0.569, data_time: 0.000, memory: 8999, top1_acc: 0.8512, top5_acc: 0.9906, loss_cls: 3.2177, loss: 3.2177 2025-05-03 11:32:19,235 - pyskl - INFO - Epoch [18][900/1281] lr: 2.415e-02, eta: 1 day, 1:02:57, time: 0.561, data_time: 0.000, memory: 8999, top1_acc: 0.8662, top5_acc: 0.9944, loss_cls: 3.0665, loss: 3.0665 2025-05-03 11:33:15,299 - pyskl - INFO - Epoch [18][1000/1281] lr: 2.414e-02, eta: 1 day, 1:02:25, time: 0.561, data_time: 0.000, memory: 8999, top1_acc: 0.8550, top5_acc: 0.9906, loss_cls: 3.2356, loss: 3.2356 2025-05-03 11:34:11,073 - pyskl - INFO - Epoch [18][1100/1281] lr: 2.414e-02, eta: 1 day, 1:01:51, time: 0.558, data_time: 0.000, memory: 8999, top1_acc: 0.8512, top5_acc: 0.9919, loss_cls: 3.1856, loss: 3.1856 2025-05-03 11:35:07,291 - pyskl - INFO - Epoch [18][1200/1281] lr: 2.413e-02, eta: 1 day, 1:01:20, time: 0.562, data_time: 0.000, memory: 8999, top1_acc: 0.8519, top5_acc: 0.9938, loss_cls: 3.1452, loss: 3.1452 2025-05-03 11:35:53,209 - pyskl - INFO - Saving checkpoint at 18 epochs 2025-05-03 11:36:40,314 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 11:36:40,382 - pyskl - INFO - top1_acc 0.8121 top5_acc 0.9876 2025-05-03 11:36:40,383 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 11:36:40,391 - pyskl - INFO - mean_acc 0.7322 2025-05-03 11:36:40,450 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_17.pth was removed 2025-05-03 11:36:42,022 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. 2025-05-03 11:36:42,022 - pyskl - INFO - Best top1_acc is 0.8121 at 18 epoch. 2025-05-03 11:36:42,028 - pyskl - INFO - Epoch(val) [18][533] top1_acc: 0.8121, top5_acc: 0.9876, mean_class_accuracy: 0.7322 2025-05-03 11:37:46,116 - pyskl - INFO - Epoch [19][100/1281] lr: 2.411e-02, eta: 1 day, 0:55:48, time: 0.641, data_time: 0.183, memory: 8999, top1_acc: 0.8750, top5_acc: 0.9925, loss_cls: 3.0203, loss: 3.0203 2025-05-03 11:38:39,411 - pyskl - INFO - Epoch [19][200/1281] lr: 2.411e-02, eta: 1 day, 0:54:56, time: 0.533, data_time: 0.000, memory: 8999, top1_acc: 0.8631, top5_acc: 0.9950, loss_cls: 3.1002, loss: 3.1002 2025-05-03 11:39:35,116 - pyskl - INFO - Epoch [19][300/1281] lr: 2.410e-02, eta: 1 day, 0:54:22, time: 0.557, data_time: 0.000, memory: 8999, top1_acc: 0.8800, top5_acc: 0.9950, loss_cls: 3.0258, loss: 3.0258 2025-05-03 11:40:32,520 - pyskl - INFO - Epoch [19][400/1281] lr: 2.409e-02, eta: 1 day, 0:53:59, time: 0.574, data_time: 0.000, memory: 8999, top1_acc: 0.8756, top5_acc: 0.9938, loss_cls: 2.9906, loss: 2.9906 2025-05-03 11:41:30,965 - pyskl - INFO - Epoch [19][500/1281] lr: 2.408e-02, eta: 1 day, 0:53:44, time: 0.584, data_time: 0.000, memory: 8999, top1_acc: 0.8506, top5_acc: 0.9969, loss_cls: 3.1405, loss: 3.1405 2025-05-03 11:42:29,338 - pyskl - INFO - Epoch [19][600/1281] lr: 2.408e-02, eta: 1 day, 0:53:28, time: 0.584, data_time: 0.000, memory: 8999, top1_acc: 0.8712, top5_acc: 0.9956, loss_cls: 3.0690, loss: 3.0690 2025-05-03 11:43:28,331 - pyskl - INFO - Epoch [19][700/1281] lr: 2.407e-02, eta: 1 day, 0:53:16, time: 0.590, data_time: 0.000, memory: 8999, top1_acc: 0.8569, top5_acc: 0.9906, loss_cls: 3.1280, loss: 3.1280 2025-05-03 11:44:27,965 - pyskl - INFO - Epoch [19][800/1281] lr: 2.406e-02, eta: 1 day, 0:53:08, time: 0.596, data_time: 0.000, memory: 8999, top1_acc: 0.8706, top5_acc: 0.9938, loss_cls: 3.1014, loss: 3.1014 2025-05-03 11:45:26,806 - pyskl - INFO - Epoch [19][900/1281] lr: 2.405e-02, eta: 1 day, 0:52:54, time: 0.588, data_time: 0.000, memory: 8999, top1_acc: 0.8575, top5_acc: 0.9950, loss_cls: 3.2101, loss: 3.2101 2025-05-03 11:46:25,584 - pyskl - INFO - Epoch [19][1000/1281] lr: 2.405e-02, eta: 1 day, 0:52:40, time: 0.588, data_time: 0.000, memory: 8999, top1_acc: 0.8581, top5_acc: 0.9944, loss_cls: 3.1636, loss: 3.1636 2025-05-03 11:47:24,780 - pyskl - INFO - Epoch [19][1100/1281] lr: 2.404e-02, eta: 1 day, 0:52:28, time: 0.592, data_time: 0.000, memory: 8999, top1_acc: 0.8469, top5_acc: 0.9944, loss_cls: 3.0912, loss: 3.0912 2025-05-03 11:48:23,347 - pyskl - INFO - Epoch [19][1200/1281] lr: 2.403e-02, eta: 1 day, 0:52:11, time: 0.586, data_time: 0.000, memory: 8999, top1_acc: 0.8438, top5_acc: 0.9944, loss_cls: 3.0877, loss: 3.0877 2025-05-03 11:49:11,735 - pyskl - INFO - Saving checkpoint at 19 epochs 2025-05-03 11:50:00,646 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 11:50:00,703 - pyskl - INFO - top1_acc 0.7936 top5_acc 0.9806 2025-05-03 11:50:00,704 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 11:50:00,711 - pyskl - INFO - mean_acc 0.7145 2025-05-03 11:50:00,713 - pyskl - INFO - Epoch(val) [19][533] top1_acc: 0.7936, top5_acc: 0.9806, mean_class_accuracy: 0.7145 2025-05-03 11:51:07,307 - pyskl - INFO - Epoch [20][100/1281] lr: 2.402e-02, eta: 1 day, 0:47:09, time: 0.666, data_time: 0.183, memory: 9000, top1_acc: 0.8644, top5_acc: 0.9919, loss_cls: 2.9973, loss: 2.9973 2025-05-03 11:52:02,479 - pyskl - INFO - Epoch [20][200/1281] lr: 2.401e-02, eta: 1 day, 0:46:29, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.8756, top5_acc: 0.9969, loss_cls: 2.9676, loss: 2.9676 2025-05-03 11:53:00,725 - pyskl - INFO - Epoch [20][300/1281] lr: 2.400e-02, eta: 1 day, 0:46:10, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.8706, top5_acc: 0.9944, loss_cls: 3.0466, loss: 3.0466 2025-05-03 11:53:56,948 - pyskl - INFO - Epoch [20][400/1281] lr: 2.399e-02, eta: 1 day, 0:45:37, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.8675, top5_acc: 0.9938, loss_cls: 3.0482, loss: 3.0482 2025-05-03 11:54:53,649 - pyskl - INFO - Epoch [20][500/1281] lr: 2.398e-02, eta: 1 day, 0:45:07, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.8662, top5_acc: 0.9962, loss_cls: 3.0712, loss: 3.0712 2025-05-03 11:55:49,417 - pyskl - INFO - Epoch [20][600/1281] lr: 2.398e-02, eta: 1 day, 0:44:31, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.8575, top5_acc: 0.9925, loss_cls: 3.1087, loss: 3.1087 2025-05-03 11:56:45,830 - pyskl - INFO - Epoch [20][700/1281] lr: 2.397e-02, eta: 1 day, 0:43:58, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.8650, top5_acc: 0.9912, loss_cls: 3.1089, loss: 3.1089 2025-05-03 11:57:41,562 - pyskl - INFO - Epoch [20][800/1281] lr: 2.396e-02, eta: 1 day, 0:43:21, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8819, top5_acc: 0.9938, loss_cls: 2.9722, loss: 2.9722 2025-05-03 11:58:37,585 - pyskl - INFO - Epoch [20][900/1281] lr: 2.395e-02, eta: 1 day, 0:42:46, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.8681, top5_acc: 0.9950, loss_cls: 2.9121, loss: 2.9121 2025-05-03 11:59:33,067 - pyskl - INFO - Epoch [20][1000/1281] lr: 2.394e-02, eta: 1 day, 0:42:07, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.8644, top5_acc: 0.9931, loss_cls: 3.1240, loss: 3.1240 2025-05-03 12:00:29,860 - pyskl - INFO - Epoch [20][1100/1281] lr: 2.393e-02, eta: 1 day, 0:41:37, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.8631, top5_acc: 0.9956, loss_cls: 3.0636, loss: 3.0636 2025-05-03 12:01:26,553 - pyskl - INFO - Epoch [20][1200/1281] lr: 2.393e-02, eta: 1 day, 0:41:05, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.8638, top5_acc: 0.9950, loss_cls: 2.9983, loss: 2.9983 2025-05-03 12:02:12,088 - pyskl - INFO - Saving checkpoint at 20 epochs 2025-05-03 12:02:58,724 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 12:02:58,788 - pyskl - INFO - top1_acc 0.8227 top5_acc 0.9830 2025-05-03 12:02:58,788 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 12:02:58,800 - pyskl - INFO - mean_acc 0.7747 2025-05-03 12:02:58,875 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_18.pth was removed 2025-05-03 12:03:00,431 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. 2025-05-03 12:03:00,431 - pyskl - INFO - Best top1_acc is 0.8227 at 20 epoch. 2025-05-03 12:03:00,436 - pyskl - INFO - Epoch(val) [20][533] top1_acc: 0.8227, top5_acc: 0.9830, mean_class_accuracy: 0.7747 2025-05-03 12:04:04,416 - pyskl - INFO - Epoch [21][100/1281] lr: 2.391e-02, eta: 1 day, 0:35:58, time: 0.640, data_time: 0.180, memory: 9000, top1_acc: 0.8800, top5_acc: 0.9938, loss_cls: 2.9728, loss: 2.9728 2025-05-03 12:04:57,162 - pyskl - INFO - Epoch [21][200/1281] lr: 2.390e-02, eta: 1 day, 0:35:02, time: 0.527, data_time: 0.000, memory: 9000, top1_acc: 0.8725, top5_acc: 0.9975, loss_cls: 2.9665, loss: 2.9665 2025-05-03 12:05:51,747 - pyskl - INFO - Epoch [21][300/1281] lr: 2.389e-02, eta: 1 day, 0:34:17, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.8775, top5_acc: 0.9962, loss_cls: 2.9905, loss: 2.9905 2025-05-03 12:06:47,033 - pyskl - INFO - Epoch [21][400/1281] lr: 2.389e-02, eta: 1 day, 0:33:37, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.8700, top5_acc: 0.9931, loss_cls: 3.0291, loss: 3.0291 2025-05-03 12:07:42,506 - pyskl - INFO - Epoch [21][500/1281] lr: 2.388e-02, eta: 1 day, 0:32:58, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.8669, top5_acc: 0.9944, loss_cls: 3.0324, loss: 3.0324 2025-05-03 12:08:37,817 - pyskl - INFO - Epoch [21][600/1281] lr: 2.387e-02, eta: 1 day, 0:32:18, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.8775, top5_acc: 0.9969, loss_cls: 3.0212, loss: 3.0212 2025-05-03 12:09:34,130 - pyskl - INFO - Epoch [21][700/1281] lr: 2.386e-02, eta: 1 day, 0:31:44, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.8431, top5_acc: 0.9919, loss_cls: 3.1356, loss: 3.1356 2025-05-03 12:10:30,286 - pyskl - INFO - Epoch [21][800/1281] lr: 2.385e-02, eta: 1 day, 0:31:09, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.8644, top5_acc: 0.9962, loss_cls: 3.0142, loss: 3.0142 2025-05-03 12:11:26,644 - pyskl - INFO - Epoch [21][900/1281] lr: 2.384e-02, eta: 1 day, 0:30:36, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.8850, top5_acc: 0.9962, loss_cls: 2.9238, loss: 2.9238 2025-05-03 12:12:21,961 - pyskl - INFO - Epoch [21][1000/1281] lr: 2.383e-02, eta: 1 day, 0:29:55, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.8669, top5_acc: 0.9912, loss_cls: 3.1076, loss: 3.1076 2025-05-03 12:13:18,422 - pyskl - INFO - Epoch [21][1100/1281] lr: 2.383e-02, eta: 1 day, 0:29:21, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.8669, top5_acc: 0.9950, loss_cls: 2.9934, loss: 2.9934 2025-05-03 12:14:14,038 - pyskl - INFO - Epoch [21][1200/1281] lr: 2.382e-02, eta: 1 day, 0:28:42, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.8694, top5_acc: 0.9969, loss_cls: 2.9793, loss: 2.9793 2025-05-03 12:14:59,551 - pyskl - INFO - Saving checkpoint at 21 epochs 2025-05-03 12:15:46,575 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 12:15:46,633 - pyskl - INFO - top1_acc 0.8386 top5_acc 0.9829 2025-05-03 12:15:46,633 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 12:15:46,641 - pyskl - INFO - mean_acc 0.7731 2025-05-03 12:15:46,698 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_20.pth was removed 2025-05-03 12:15:48,414 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. 2025-05-03 12:15:48,415 - pyskl - INFO - Best top1_acc is 0.8386 at 21 epoch. 2025-05-03 12:15:48,419 - pyskl - INFO - Epoch(val) [21][533] top1_acc: 0.8386, top5_acc: 0.9829, mean_class_accuracy: 0.7731 2025-05-03 12:16:52,211 - pyskl - INFO - Epoch [22][100/1281] lr: 2.380e-02, eta: 1 day, 0:23:46, time: 0.638, data_time: 0.182, memory: 9000, top1_acc: 0.8875, top5_acc: 0.9969, loss_cls: 2.9305, loss: 2.9305 2025-05-03 12:17:45,532 - pyskl - INFO - Epoch [22][200/1281] lr: 2.379e-02, eta: 1 day, 0:22:54, time: 0.533, data_time: 0.000, memory: 9000, top1_acc: 0.8831, top5_acc: 0.9956, loss_cls: 2.9395, loss: 2.9395 2025-05-03 12:18:41,254 - pyskl - INFO - Epoch [22][300/1281] lr: 2.378e-02, eta: 1 day, 0:22:16, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8594, top5_acc: 0.9906, loss_cls: 3.0653, loss: 3.0653 2025-05-03 12:19:38,899 - pyskl - INFO - Epoch [22][400/1281] lr: 2.378e-02, eta: 1 day, 0:21:50, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.8744, top5_acc: 0.9950, loss_cls: 2.9789, loss: 2.9789 2025-05-03 12:20:37,246 - pyskl - INFO - Epoch [22][500/1281] lr: 2.377e-02, eta: 1 day, 0:21:27, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.8825, top5_acc: 0.9956, loss_cls: 3.0058, loss: 3.0058 2025-05-03 12:21:34,971 - pyskl - INFO - Epoch [22][600/1281] lr: 2.376e-02, eta: 1 day, 0:21:01, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.8556, top5_acc: 0.9931, loss_cls: 3.1070, loss: 3.1070 2025-05-03 12:22:32,594 - pyskl - INFO - Epoch [22][700/1281] lr: 2.375e-02, eta: 1 day, 0:20:34, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.8781, top5_acc: 0.9925, loss_cls: 3.0192, loss: 3.0192 2025-05-03 12:23:29,452 - pyskl - INFO - Epoch [22][800/1281] lr: 2.374e-02, eta: 1 day, 0:20:02, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.8612, top5_acc: 0.9975, loss_cls: 2.9792, loss: 2.9792 2025-05-03 12:24:26,224 - pyskl - INFO - Epoch [22][900/1281] lr: 2.373e-02, eta: 1 day, 0:19:29, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.8519, top5_acc: 0.9925, loss_cls: 3.0439, loss: 3.0439 2025-05-03 12:25:22,618 - pyskl - INFO - Epoch [22][1000/1281] lr: 2.372e-02, eta: 1 day, 0:18:54, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.8456, top5_acc: 0.9912, loss_cls: 3.1752, loss: 3.1752 2025-05-03 12:26:18,618 - pyskl - INFO - Epoch [22][1100/1281] lr: 2.371e-02, eta: 1 day, 0:18:17, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.8806, top5_acc: 0.9931, loss_cls: 2.9816, loss: 2.9816 2025-05-03 12:27:15,563 - pyskl - INFO - Epoch [22][1200/1281] lr: 2.370e-02, eta: 1 day, 0:17:45, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.8644, top5_acc: 0.9969, loss_cls: 3.0030, loss: 3.0030 2025-05-03 12:28:02,158 - pyskl - INFO - Saving checkpoint at 22 epochs 2025-05-03 12:28:49,534 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 12:28:49,591 - pyskl - INFO - top1_acc 0.8058 top5_acc 0.9839 2025-05-03 12:28:49,591 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 12:28:49,600 - pyskl - INFO - mean_acc 0.7584 2025-05-03 12:28:49,604 - pyskl - INFO - Epoch(val) [22][533] top1_acc: 0.8058, top5_acc: 0.9839, mean_class_accuracy: 0.7584 2025-05-03 12:29:53,988 - pyskl - INFO - Epoch [23][100/1281] lr: 2.369e-02, eta: 1 day, 0:13:02, time: 0.644, data_time: 0.180, memory: 9000, top1_acc: 0.8912, top5_acc: 0.9962, loss_cls: 2.9444, loss: 2.9444 2025-05-03 12:30:47,716 - pyskl - INFO - Epoch [23][200/1281] lr: 2.368e-02, eta: 1 day, 0:12:12, time: 0.537, data_time: 0.000, memory: 9000, top1_acc: 0.8706, top5_acc: 0.9969, loss_cls: 2.9957, loss: 2.9957 2025-05-03 12:31:41,367 - pyskl - INFO - Epoch [23][300/1281] lr: 2.367e-02, eta: 1 day, 0:11:21, time: 0.537, data_time: 0.000, memory: 9000, top1_acc: 0.8769, top5_acc: 0.9938, loss_cls: 3.0652, loss: 3.0652 2025-05-03 12:32:36,879 - pyskl - INFO - Epoch [23][400/1281] lr: 2.366e-02, eta: 1 day, 0:10:41, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.8550, top5_acc: 0.9944, loss_cls: 3.0428, loss: 3.0428 2025-05-03 12:33:32,325 - pyskl - INFO - Epoch [23][500/1281] lr: 2.365e-02, eta: 1 day, 0:10:01, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.8775, top5_acc: 0.9975, loss_cls: 2.9969, loss: 2.9969 2025-05-03 12:34:27,672 - pyskl - INFO - Epoch [23][600/1281] lr: 2.364e-02, eta: 1 day, 0:09:20, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.8738, top5_acc: 0.9981, loss_cls: 2.9564, loss: 2.9564 2025-05-03 12:35:23,145 - pyskl - INFO - Epoch [23][700/1281] lr: 2.363e-02, eta: 1 day, 0:08:39, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.8706, top5_acc: 0.9944, loss_cls: 2.9562, loss: 2.9562 2025-05-03 12:36:19,118 - pyskl - INFO - Epoch [23][800/1281] lr: 2.362e-02, eta: 1 day, 0:08:01, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.8694, top5_acc: 0.9944, loss_cls: 3.0667, loss: 3.0667 2025-05-03 12:37:14,353 - pyskl - INFO - Epoch [23][900/1281] lr: 2.361e-02, eta: 1 day, 0:07:19, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.8869, top5_acc: 0.9975, loss_cls: 3.0101, loss: 3.0101 2025-05-03 12:38:10,917 - pyskl - INFO - Epoch [23][1000/1281] lr: 2.360e-02, eta: 1 day, 0:06:44, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.8725, top5_acc: 0.9931, loss_cls: 2.9880, loss: 2.9880 2025-05-03 12:39:06,881 - pyskl - INFO - Epoch [23][1100/1281] lr: 2.359e-02, eta: 1 day, 0:06:06, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.8625, top5_acc: 0.9950, loss_cls: 3.0584, loss: 3.0584 2025-05-03 12:40:05,189 - pyskl - INFO - Epoch [23][1200/1281] lr: 2.359e-02, eta: 1 day, 0:05:41, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.8738, top5_acc: 0.9888, loss_cls: 3.0472, loss: 3.0472 2025-05-03 12:40:52,839 - pyskl - INFO - Saving checkpoint at 23 epochs 2025-05-03 12:41:41,311 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 12:41:41,369 - pyskl - INFO - top1_acc 0.8319 top5_acc 0.9890 2025-05-03 12:41:41,369 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 12:41:41,377 - pyskl - INFO - mean_acc 0.7811 2025-05-03 12:41:41,379 - pyskl - INFO - Epoch(val) [23][533] top1_acc: 0.8319, top5_acc: 0.9890, mean_class_accuracy: 0.7811 2025-05-03 12:42:47,721 - pyskl - INFO - Epoch [24][100/1281] lr: 2.357e-02, eta: 1 day, 0:01:19, time: 0.663, data_time: 0.180, memory: 9000, top1_acc: 0.8875, top5_acc: 0.9962, loss_cls: 2.9466, loss: 2.9466 2025-05-03 12:43:42,991 - pyskl - INFO - Epoch [24][200/1281] lr: 2.356e-02, eta: 1 day, 0:00:37, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.8825, top5_acc: 0.9956, loss_cls: 2.8725, loss: 2.8725 2025-05-03 12:44:41,619 - pyskl - INFO - Epoch [24][300/1281] lr: 2.355e-02, eta: 1 day, 0:00:13, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.8969, top5_acc: 0.9956, loss_cls: 2.8068, loss: 2.8068 2025-05-03 12:45:39,932 - pyskl - INFO - Epoch [24][400/1281] lr: 2.354e-02, eta: 23:59:48, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.8912, top5_acc: 0.9969, loss_cls: 3.0423, loss: 3.0423 2025-05-03 12:46:37,447 - pyskl - INFO - Epoch [24][500/1281] lr: 2.353e-02, eta: 23:59:18, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.8750, top5_acc: 0.9988, loss_cls: 2.9821, loss: 2.9821 2025-05-03 12:47:35,269 - pyskl - INFO - Epoch [24][600/1281] lr: 2.352e-02, eta: 23:58:49, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.8638, top5_acc: 0.9950, loss_cls: 3.0041, loss: 3.0041 2025-05-03 12:48:33,346 - pyskl - INFO - Epoch [24][700/1281] lr: 2.351e-02, eta: 23:58:22, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.8706, top5_acc: 0.9938, loss_cls: 2.9309, loss: 2.9309 2025-05-03 12:49:30,911 - pyskl - INFO - Epoch [24][800/1281] lr: 2.350e-02, eta: 23:57:51, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.8669, top5_acc: 0.9944, loss_cls: 3.0287, loss: 3.0287 2025-05-03 12:50:29,114 - pyskl - INFO - Epoch [24][900/1281] lr: 2.349e-02, eta: 23:57:24, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.8756, top5_acc: 0.9931, loss_cls: 2.9796, loss: 2.9796 2025-05-03 12:51:25,967 - pyskl - INFO - Epoch [24][1000/1281] lr: 2.348e-02, eta: 23:56:50, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.8688, top5_acc: 0.9931, loss_cls: 3.0138, loss: 3.0138 2025-05-03 12:52:22,335 - pyskl - INFO - Epoch [24][1100/1281] lr: 2.347e-02, eta: 23:56:13, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.8631, top5_acc: 0.9962, loss_cls: 2.9902, loss: 2.9902 2025-05-03 12:53:18,105 - pyskl - INFO - Epoch [24][1200/1281] lr: 2.346e-02, eta: 23:55:32, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.8725, top5_acc: 0.9956, loss_cls: 3.0367, loss: 3.0367 2025-05-03 12:54:03,591 - pyskl - INFO - Saving checkpoint at 24 epochs 2025-05-03 12:54:50,524 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 12:54:50,581 - pyskl - INFO - top1_acc 0.8175 top5_acc 0.9851 2025-05-03 12:54:50,581 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 12:54:50,588 - pyskl - INFO - mean_acc 0.7833 2025-05-03 12:54:50,591 - pyskl - INFO - Epoch(val) [24][533] top1_acc: 0.8175, top5_acc: 0.9851, mean_class_accuracy: 0.7833 2025-05-03 12:55:55,146 - pyskl - INFO - Epoch [25][100/1281] lr: 2.344e-02, eta: 23:51:08, time: 0.646, data_time: 0.181, memory: 9000, top1_acc: 0.8969, top5_acc: 0.9975, loss_cls: 2.9172, loss: 2.9172 2025-05-03 12:56:47,925 - pyskl - INFO - Epoch [25][200/1281] lr: 2.343e-02, eta: 23:50:13, time: 0.528, data_time: 0.000, memory: 9000, top1_acc: 0.8881, top5_acc: 0.9962, loss_cls: 2.8301, loss: 2.8301 2025-05-03 12:57:42,319 - pyskl - INFO - Epoch [25][300/1281] lr: 2.342e-02, eta: 23:49:25, time: 0.544, data_time: 0.000, memory: 9000, top1_acc: 0.8894, top5_acc: 0.9956, loss_cls: 2.8283, loss: 2.8283 2025-05-03 12:58:37,142 - pyskl - INFO - Epoch [25][400/1281] lr: 2.341e-02, eta: 23:48:40, time: 0.548, data_time: 0.000, memory: 9000, top1_acc: 0.8875, top5_acc: 0.9962, loss_cls: 2.9521, loss: 2.9521 2025-05-03 12:59:33,809 - pyskl - INFO - Epoch [25][500/1281] lr: 2.340e-02, eta: 23:48:05, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.8794, top5_acc: 0.9975, loss_cls: 2.9411, loss: 2.9411 2025-05-03 13:00:30,005 - pyskl - INFO - Epoch [25][600/1281] lr: 2.339e-02, eta: 23:47:27, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.8806, top5_acc: 0.9981, loss_cls: 2.8548, loss: 2.8548 2025-05-03 13:01:25,650 - pyskl - INFO - Epoch [25][700/1281] lr: 2.338e-02, eta: 23:46:46, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.8756, top5_acc: 0.9956, loss_cls: 3.0173, loss: 3.0173 2025-05-03 13:02:21,610 - pyskl - INFO - Epoch [25][800/1281] lr: 2.337e-02, eta: 23:46:06, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.8800, top5_acc: 0.9950, loss_cls: 2.9565, loss: 2.9565 2025-05-03 13:03:17,221 - pyskl - INFO - Epoch [25][900/1281] lr: 2.336e-02, eta: 23:45:25, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.8675, top5_acc: 0.9969, loss_cls: 3.0246, loss: 3.0246 2025-05-03 13:04:12,743 - pyskl - INFO - Epoch [25][1000/1281] lr: 2.335e-02, eta: 23:44:43, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.8725, top5_acc: 0.9962, loss_cls: 3.0246, loss: 3.0246 2025-05-03 13:05:08,385 - pyskl - INFO - Epoch [25][1100/1281] lr: 2.334e-02, eta: 23:44:01, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.8869, top5_acc: 0.9962, loss_cls: 2.8642, loss: 2.8642 2025-05-03 13:06:04,979 - pyskl - INFO - Epoch [25][1200/1281] lr: 2.333e-02, eta: 23:43:24, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.8631, top5_acc: 0.9931, loss_cls: 3.0205, loss: 3.0205 2025-05-03 13:06:50,700 - pyskl - INFO - Saving checkpoint at 25 epochs 2025-05-03 13:07:37,340 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 13:07:37,396 - pyskl - INFO - top1_acc 0.8273 top5_acc 0.9842 2025-05-03 13:07:37,396 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 13:07:37,403 - pyskl - INFO - mean_acc 0.7679 2025-05-03 13:07:37,405 - pyskl - INFO - Epoch(val) [25][533] top1_acc: 0.8273, top5_acc: 0.9842, mean_class_accuracy: 0.7679 2025-05-03 13:08:41,841 - pyskl - INFO - Epoch [26][100/1281] lr: 2.332e-02, eta: 23:39:08, time: 0.644, data_time: 0.182, memory: 9000, top1_acc: 0.8856, top5_acc: 0.9950, loss_cls: 2.8654, loss: 2.8654 2025-05-03 13:09:34,630 - pyskl - INFO - Epoch [26][200/1281] lr: 2.330e-02, eta: 23:38:13, time: 0.528, data_time: 0.000, memory: 9000, top1_acc: 0.8850, top5_acc: 0.9994, loss_cls: 2.8651, loss: 2.8651 2025-05-03 13:10:30,450 - pyskl - INFO - Epoch [26][300/1281] lr: 2.329e-02, eta: 23:37:33, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.8806, top5_acc: 0.9931, loss_cls: 2.8536, loss: 2.8536 2025-05-03 13:11:26,109 - pyskl - INFO - Epoch [26][400/1281] lr: 2.328e-02, eta: 23:36:51, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8688, top5_acc: 0.9956, loss_cls: 2.9729, loss: 2.9729 2025-05-03 13:12:22,644 - pyskl - INFO - Epoch [26][500/1281] lr: 2.327e-02, eta: 23:36:14, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.8931, top5_acc: 0.9962, loss_cls: 2.7726, loss: 2.7726 2025-05-03 13:13:18,978 - pyskl - INFO - Epoch [26][600/1281] lr: 2.326e-02, eta: 23:35:36, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.8669, top5_acc: 0.9956, loss_cls: 2.9677, loss: 2.9677 2025-05-03 13:14:15,276 - pyskl - INFO - Epoch [26][700/1281] lr: 2.325e-02, eta: 23:34:58, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.8788, top5_acc: 0.9944, loss_cls: 2.9238, loss: 2.9238 2025-05-03 13:15:10,546 - pyskl - INFO - Epoch [26][800/1281] lr: 2.324e-02, eta: 23:34:15, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.8906, top5_acc: 0.9969, loss_cls: 2.8443, loss: 2.8443 2025-05-03 13:16:06,032 - pyskl - INFO - Epoch [26][900/1281] lr: 2.323e-02, eta: 23:33:32, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.8731, top5_acc: 0.9931, loss_cls: 2.8515, loss: 2.8515 2025-05-03 13:17:01,611 - pyskl - INFO - Epoch [26][1000/1281] lr: 2.322e-02, eta: 23:32:50, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.8819, top5_acc: 0.9944, loss_cls: 2.8827, loss: 2.8827 2025-05-03 13:17:59,299 - pyskl - INFO - Epoch [26][1100/1281] lr: 2.321e-02, eta: 23:32:18, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.8800, top5_acc: 0.9931, loss_cls: 2.9917, loss: 2.9917 2025-05-03 13:18:57,254 - pyskl - INFO - Epoch [26][1200/1281] lr: 2.320e-02, eta: 23:31:47, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.8962, top5_acc: 0.9988, loss_cls: 2.8967, loss: 2.8967 2025-05-03 13:19:45,151 - pyskl - INFO - Saving checkpoint at 26 epochs 2025-05-03 13:20:33,714 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 13:20:33,770 - pyskl - INFO - top1_acc 0.8415 top5_acc 0.9870 2025-05-03 13:20:33,770 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 13:20:33,777 - pyskl - INFO - mean_acc 0.7985 2025-05-03 13:20:33,841 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_21.pth was removed 2025-05-03 13:20:35,397 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. 2025-05-03 13:20:35,398 - pyskl - INFO - Best top1_acc is 0.8415 at 26 epoch. 2025-05-03 13:20:35,402 - pyskl - INFO - Epoch(val) [26][533] top1_acc: 0.8415, top5_acc: 0.9870, mean_class_accuracy: 0.7985 2025-05-03 13:21:40,865 - pyskl - INFO - Epoch [27][100/1281] lr: 2.318e-02, eta: 23:27:43, time: 0.655, data_time: 0.180, memory: 9000, top1_acc: 0.9025, top5_acc: 0.9981, loss_cls: 2.8830, loss: 2.8830 2025-05-03 13:22:34,403 - pyskl - INFO - Epoch [27][200/1281] lr: 2.317e-02, eta: 23:26:51, time: 0.535, data_time: 0.000, memory: 9000, top1_acc: 0.9069, top5_acc: 0.9975, loss_cls: 2.7859, loss: 2.7859 2025-05-03 13:23:29,827 - pyskl - INFO - Epoch [27][300/1281] lr: 2.316e-02, eta: 23:26:09, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.8981, top5_acc: 0.9962, loss_cls: 2.8117, loss: 2.8117 2025-05-03 13:24:25,164 - pyskl - INFO - Epoch [27][400/1281] lr: 2.315e-02, eta: 23:25:25, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.8781, top5_acc: 0.9950, loss_cls: 2.9899, loss: 2.9899 2025-05-03 13:25:20,890 - pyskl - INFO - Epoch [27][500/1281] lr: 2.314e-02, eta: 23:24:44, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8775, top5_acc: 0.9962, loss_cls: 2.9597, loss: 2.9597 2025-05-03 13:26:16,134 - pyskl - INFO - Epoch [27][600/1281] lr: 2.313e-02, eta: 23:24:00, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.8712, top5_acc: 0.9981, loss_cls: 2.8818, loss: 2.8818 2025-05-03 13:27:11,875 - pyskl - INFO - Epoch [27][700/1281] lr: 2.312e-02, eta: 23:23:18, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8969, top5_acc: 0.9962, loss_cls: 2.8580, loss: 2.8580 2025-05-03 13:28:07,630 - pyskl - INFO - Epoch [27][800/1281] lr: 2.311e-02, eta: 23:22:37, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.8731, top5_acc: 0.9975, loss_cls: 2.8583, loss: 2.8583 2025-05-03 13:29:02,672 - pyskl - INFO - Epoch [27][900/1281] lr: 2.310e-02, eta: 23:21:52, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.8894, top5_acc: 0.9988, loss_cls: 2.8441, loss: 2.8441 2025-05-03 13:29:58,615 - pyskl - INFO - Epoch [27][1000/1281] lr: 2.308e-02, eta: 23:21:11, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.8706, top5_acc: 0.9956, loss_cls: 2.9322, loss: 2.9322 2025-05-03 13:30:54,300 - pyskl - INFO - Epoch [27][1100/1281] lr: 2.307e-02, eta: 23:20:29, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8612, top5_acc: 0.9931, loss_cls: 3.0257, loss: 3.0257 2025-05-03 13:31:49,612 - pyskl - INFO - Epoch [27][1200/1281] lr: 2.306e-02, eta: 23:19:45, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.8944, top5_acc: 0.9962, loss_cls: 2.8974, loss: 2.8974 2025-05-03 13:32:34,745 - pyskl - INFO - Saving checkpoint at 27 epochs 2025-05-03 13:33:21,604 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 13:33:21,660 - pyskl - INFO - top1_acc 0.8189 top5_acc 0.9797 2025-05-03 13:33:21,660 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 13:33:21,667 - pyskl - INFO - mean_acc 0.7550 2025-05-03 13:33:21,670 - pyskl - INFO - Epoch(val) [27][533] top1_acc: 0.8189, top5_acc: 0.9797, mean_class_accuracy: 0.7550 2025-05-03 13:34:26,582 - pyskl - INFO - Epoch [28][100/1281] lr: 2.304e-02, eta: 23:15:45, time: 0.649, data_time: 0.181, memory: 9000, top1_acc: 0.8975, top5_acc: 0.9944, loss_cls: 2.7695, loss: 2.7695 2025-05-03 13:35:20,275 - pyskl - INFO - Epoch [28][200/1281] lr: 2.303e-02, eta: 23:14:54, time: 0.537, data_time: 0.000, memory: 9000, top1_acc: 0.9012, top5_acc: 0.9962, loss_cls: 2.8080, loss: 2.8080 2025-05-03 13:36:15,692 - pyskl - INFO - Epoch [28][300/1281] lr: 2.302e-02, eta: 23:14:11, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.8850, top5_acc: 0.9962, loss_cls: 2.8063, loss: 2.8063 2025-05-03 13:37:10,438 - pyskl - INFO - Epoch [28][400/1281] lr: 2.301e-02, eta: 23:13:25, time: 0.547, data_time: 0.000, memory: 9000, top1_acc: 0.8844, top5_acc: 0.9969, loss_cls: 2.8566, loss: 2.8566 2025-05-03 13:38:07,544 - pyskl - INFO - Epoch [28][500/1281] lr: 2.300e-02, eta: 23:12:49, time: 0.571, data_time: 0.000, memory: 9000, top1_acc: 0.8944, top5_acc: 0.9981, loss_cls: 2.8122, loss: 2.8122 2025-05-03 13:39:05,626 - pyskl - INFO - Epoch [28][600/1281] lr: 2.299e-02, eta: 23:12:18, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9100, top5_acc: 0.9988, loss_cls: 2.8455, loss: 2.8455 2025-05-03 13:40:04,452 - pyskl - INFO - Epoch [28][700/1281] lr: 2.298e-02, eta: 23:11:50, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 2.9135, loss: 2.9135 2025-05-03 13:41:03,579 - pyskl - INFO - Epoch [28][800/1281] lr: 2.297e-02, eta: 23:11:22, time: 0.591, data_time: 0.000, memory: 9000, top1_acc: 0.8831, top5_acc: 0.9950, loss_cls: 3.0797, loss: 3.0797 2025-05-03 13:42:02,242 - pyskl - INFO - Epoch [28][900/1281] lr: 2.295e-02, eta: 23:10:53, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.8806, top5_acc: 0.9975, loss_cls: 2.9564, loss: 2.9564 2025-05-03 13:43:01,302 - pyskl - INFO - Epoch [28][1000/1281] lr: 2.294e-02, eta: 23:10:25, time: 0.591, data_time: 0.000, memory: 9000, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 2.8015, loss: 2.8015 2025-05-03 13:44:00,079 - pyskl - INFO - Epoch [28][1100/1281] lr: 2.293e-02, eta: 23:09:56, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.8850, top5_acc: 0.9925, loss_cls: 2.9407, loss: 2.9407 2025-05-03 13:44:59,123 - pyskl - INFO - Epoch [28][1200/1281] lr: 2.292e-02, eta: 23:09:28, time: 0.590, data_time: 0.000, memory: 9000, top1_acc: 0.8725, top5_acc: 0.9962, loss_cls: 2.9420, loss: 2.9420 2025-05-03 13:45:47,339 - pyskl - INFO - Saving checkpoint at 28 epochs 2025-05-03 13:46:36,547 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 13:46:36,603 - pyskl - INFO - top1_acc 0.8240 top5_acc 0.9844 2025-05-03 13:46:36,603 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 13:46:36,609 - pyskl - INFO - mean_acc 0.7872 2025-05-03 13:46:36,612 - pyskl - INFO - Epoch(val) [28][533] top1_acc: 0.8240, top5_acc: 0.9844, mean_class_accuracy: 0.7872 2025-05-03 13:47:43,316 - pyskl - INFO - Epoch [29][100/1281] lr: 2.290e-02, eta: 23:05:42, time: 0.667, data_time: 0.181, memory: 9000, top1_acc: 0.8962, top5_acc: 0.9962, loss_cls: 2.7905, loss: 2.7905 2025-05-03 13:48:39,504 - pyskl - INFO - Epoch [29][200/1281] lr: 2.289e-02, eta: 23:05:01, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 2.6914, loss: 2.6914 2025-05-03 13:49:37,292 - pyskl - INFO - Epoch [29][300/1281] lr: 2.288e-02, eta: 23:04:28, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.8956, top5_acc: 0.9962, loss_cls: 2.8479, loss: 2.8479 2025-05-03 13:50:33,892 - pyskl - INFO - Epoch [29][400/1281] lr: 2.287e-02, eta: 23:03:49, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9019, top5_acc: 0.9962, loss_cls: 2.7792, loss: 2.7792 2025-05-03 13:51:29,487 - pyskl - INFO - Epoch [29][500/1281] lr: 2.285e-02, eta: 23:03:06, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.8950, top5_acc: 0.9944, loss_cls: 2.9094, loss: 2.9094 2025-05-03 13:52:24,307 - pyskl - INFO - Epoch [29][600/1281] lr: 2.284e-02, eta: 23:02:19, time: 0.548, data_time: 0.000, memory: 9000, top1_acc: 0.8856, top5_acc: 0.9944, loss_cls: 2.9506, loss: 2.9506 2025-05-03 13:53:19,461 - pyskl - INFO - Epoch [29][700/1281] lr: 2.283e-02, eta: 23:01:34, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.8850, top5_acc: 0.9969, loss_cls: 2.8332, loss: 2.8332 2025-05-03 13:54:15,192 - pyskl - INFO - Epoch [29][800/1281] lr: 2.282e-02, eta: 23:00:51, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8856, top5_acc: 0.9969, loss_cls: 2.8782, loss: 2.8782 2025-05-03 13:55:11,746 - pyskl - INFO - Epoch [29][900/1281] lr: 2.281e-02, eta: 23:00:11, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.8819, top5_acc: 0.9969, loss_cls: 2.9018, loss: 2.9018 2025-05-03 13:56:07,802 - pyskl - INFO - Epoch [29][1000/1281] lr: 2.280e-02, eta: 22:59:30, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.8844, top5_acc: 0.9975, loss_cls: 2.8988, loss: 2.8988 2025-05-03 13:57:04,374 - pyskl - INFO - Epoch [29][1100/1281] lr: 2.279e-02, eta: 22:58:50, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.8725, top5_acc: 0.9950, loss_cls: 2.9221, loss: 2.9221 2025-05-03 13:58:00,366 - pyskl - INFO - Epoch [29][1200/1281] lr: 2.277e-02, eta: 22:58:08, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.8875, top5_acc: 0.9962, loss_cls: 2.9356, loss: 2.9356 2025-05-03 13:58:46,130 - pyskl - INFO - Saving checkpoint at 29 epochs 2025-05-03 13:59:32,940 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 13:59:33,001 - pyskl - INFO - top1_acc 0.8160 top5_acc 0.9854 2025-05-03 13:59:33,001 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 13:59:33,009 - pyskl - INFO - mean_acc 0.7701 2025-05-03 13:59:33,012 - pyskl - INFO - Epoch(val) [29][533] top1_acc: 0.8160, top5_acc: 0.9854, mean_class_accuracy: 0.7701 2025-05-03 14:00:37,419 - pyskl - INFO - Epoch [30][100/1281] lr: 2.275e-02, eta: 22:54:18, time: 0.644, data_time: 0.185, memory: 9000, top1_acc: 0.8806, top5_acc: 0.9944, loss_cls: 2.9696, loss: 2.9696 2025-05-03 14:01:30,229 - pyskl - INFO - Epoch [30][200/1281] lr: 2.274e-02, eta: 22:53:23, time: 0.528, data_time: 0.000, memory: 9000, top1_acc: 0.8819, top5_acc: 0.9931, loss_cls: 2.9319, loss: 2.9319 2025-05-03 14:02:25,453 - pyskl - INFO - Epoch [30][300/1281] lr: 2.273e-02, eta: 22:52:38, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9050, top5_acc: 0.9962, loss_cls: 2.7245, loss: 2.7245 2025-05-03 14:03:19,895 - pyskl - INFO - Epoch [30][400/1281] lr: 2.272e-02, eta: 22:51:50, time: 0.544, data_time: 0.000, memory: 9000, top1_acc: 0.8931, top5_acc: 0.9988, loss_cls: 2.8770, loss: 2.8770 2025-05-03 14:04:14,853 - pyskl - INFO - Epoch [30][500/1281] lr: 2.271e-02, eta: 22:51:04, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9044, top5_acc: 0.9962, loss_cls: 2.7891, loss: 2.7891 2025-05-03 14:05:10,457 - pyskl - INFO - Epoch [30][600/1281] lr: 2.269e-02, eta: 22:50:20, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.8944, top5_acc: 0.9981, loss_cls: 2.7632, loss: 2.7632 2025-05-03 14:06:05,362 - pyskl - INFO - Epoch [30][700/1281] lr: 2.268e-02, eta: 22:49:33, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.8881, top5_acc: 0.9962, loss_cls: 2.9328, loss: 2.9328 2025-05-03 14:07:01,201 - pyskl - INFO - Epoch [30][800/1281] lr: 2.267e-02, eta: 22:48:51, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.8931, top5_acc: 0.9962, loss_cls: 2.8345, loss: 2.8345 2025-05-03 14:07:55,556 - pyskl - INFO - Epoch [30][900/1281] lr: 2.266e-02, eta: 22:48:02, time: 0.544, data_time: 0.000, memory: 9000, top1_acc: 0.8850, top5_acc: 0.9962, loss_cls: 2.8825, loss: 2.8825 2025-05-03 14:08:51,081 - pyskl - INFO - Epoch [30][1000/1281] lr: 2.265e-02, eta: 22:47:18, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9075, top5_acc: 0.9969, loss_cls: 2.7659, loss: 2.7659 2025-05-03 14:09:46,532 - pyskl - INFO - Epoch [30][1100/1281] lr: 2.263e-02, eta: 22:46:33, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.8962, top5_acc: 0.9944, loss_cls: 2.7902, loss: 2.7902 2025-05-03 14:10:42,260 - pyskl - INFO - Epoch [30][1200/1281] lr: 2.262e-02, eta: 22:45:50, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8881, top5_acc: 0.9962, loss_cls: 2.8341, loss: 2.8341 2025-05-03 14:11:28,007 - pyskl - INFO - Saving checkpoint at 30 epochs 2025-05-03 14:12:14,306 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 14:12:14,363 - pyskl - INFO - top1_acc 0.8227 top5_acc 0.9843 2025-05-03 14:12:14,363 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 14:12:14,370 - pyskl - INFO - mean_acc 0.7669 2025-05-03 14:12:14,373 - pyskl - INFO - Epoch(val) [30][533] top1_acc: 0.8227, top5_acc: 0.9843, mean_class_accuracy: 0.7669 2025-05-03 14:13:18,407 - pyskl - INFO - Epoch [31][100/1281] lr: 2.260e-02, eta: 22:42:04, time: 0.640, data_time: 0.182, memory: 9000, top1_acc: 0.8956, top5_acc: 0.9956, loss_cls: 2.8009, loss: 2.8009 2025-05-03 14:14:11,249 - pyskl - INFO - Epoch [31][200/1281] lr: 2.259e-02, eta: 22:41:09, time: 0.528, data_time: 0.000, memory: 9000, top1_acc: 0.8988, top5_acc: 0.9944, loss_cls: 2.7195, loss: 2.7195 2025-05-03 14:15:05,729 - pyskl - INFO - Epoch [31][300/1281] lr: 2.258e-02, eta: 22:40:21, time: 0.545, data_time: 0.000, memory: 9000, top1_acc: 0.9038, top5_acc: 0.9994, loss_cls: 2.7318, loss: 2.7318 2025-05-03 14:16:00,874 - pyskl - INFO - Epoch [31][400/1281] lr: 2.256e-02, eta: 22:39:36, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 2.7642, loss: 2.7642 2025-05-03 14:16:59,349 - pyskl - INFO - Epoch [31][500/1281] lr: 2.255e-02, eta: 22:39:03, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.8856, top5_acc: 0.9981, loss_cls: 2.8769, loss: 2.8769 2025-05-03 14:17:56,329 - pyskl - INFO - Epoch [31][600/1281] lr: 2.254e-02, eta: 22:38:25, time: 0.570, data_time: 0.000, memory: 9000, top1_acc: 0.8975, top5_acc: 0.9981, loss_cls: 2.8380, loss: 2.8380 2025-05-03 14:18:54,075 - pyskl - INFO - Epoch [31][700/1281] lr: 2.253e-02, eta: 22:37:49, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.8762, top5_acc: 0.9981, loss_cls: 2.8166, loss: 2.8166 2025-05-03 14:19:51,685 - pyskl - INFO - Epoch [31][800/1281] lr: 2.252e-02, eta: 22:37:13, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.8725, top5_acc: 0.9919, loss_cls: 2.8496, loss: 2.8496 2025-05-03 14:20:49,961 - pyskl - INFO - Epoch [31][900/1281] lr: 2.250e-02, eta: 22:36:39, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.8812, top5_acc: 0.9962, loss_cls: 2.9685, loss: 2.9685 2025-05-03 14:21:46,840 - pyskl - INFO - Epoch [31][1000/1281] lr: 2.249e-02, eta: 22:36:00, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.8944, top5_acc: 0.9975, loss_cls: 2.7622, loss: 2.7622 2025-05-03 14:22:43,407 - pyskl - INFO - Epoch [31][1100/1281] lr: 2.248e-02, eta: 22:35:19, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9000, top5_acc: 0.9969, loss_cls: 2.7996, loss: 2.7996 2025-05-03 14:23:39,387 - pyskl - INFO - Epoch [31][1200/1281] lr: 2.247e-02, eta: 22:34:37, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.8819, top5_acc: 0.9969, loss_cls: 2.7751, loss: 2.7751 2025-05-03 14:24:24,789 - pyskl - INFO - Saving checkpoint at 31 epochs 2025-05-03 14:25:11,764 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 14:25:11,820 - pyskl - INFO - top1_acc 0.8142 top5_acc 0.9782 2025-05-03 14:25:11,820 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 14:25:11,827 - pyskl - INFO - mean_acc 0.7595 2025-05-03 14:25:11,829 - pyskl - INFO - Epoch(val) [31][533] top1_acc: 0.8142, top5_acc: 0.9782, mean_class_accuracy: 0.7595 2025-05-03 14:26:16,978 - pyskl - INFO - Epoch [32][100/1281] lr: 2.244e-02, eta: 22:31:00, time: 0.651, data_time: 0.182, memory: 9000, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 2.6930, loss: 2.6930 2025-05-03 14:27:09,546 - pyskl - INFO - Epoch [32][200/1281] lr: 2.243e-02, eta: 22:30:05, time: 0.526, data_time: 0.000, memory: 9000, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 2.7234, loss: 2.7234 2025-05-03 14:28:03,888 - pyskl - INFO - Epoch [32][300/1281] lr: 2.242e-02, eta: 22:29:16, time: 0.543, data_time: 0.000, memory: 9000, top1_acc: 0.9019, top5_acc: 0.9988, loss_cls: 2.8156, loss: 2.8156 2025-05-03 14:28:59,375 - pyskl - INFO - Epoch [32][400/1281] lr: 2.241e-02, eta: 22:28:31, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.8931, top5_acc: 0.9969, loss_cls: 2.8579, loss: 2.8579 2025-05-03 14:29:54,281 - pyskl - INFO - Epoch [32][500/1281] lr: 2.239e-02, eta: 22:27:44, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9056, top5_acc: 0.9950, loss_cls: 2.7547, loss: 2.7547 2025-05-03 14:30:48,750 - pyskl - INFO - Epoch [32][600/1281] lr: 2.238e-02, eta: 22:26:56, time: 0.545, data_time: 0.000, memory: 9000, top1_acc: 0.8938, top5_acc: 0.9962, loss_cls: 2.7907, loss: 2.7907 2025-05-03 14:31:43,812 - pyskl - INFO - Epoch [32][700/1281] lr: 2.237e-02, eta: 22:26:09, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.8850, top5_acc: 0.9962, loss_cls: 2.8073, loss: 2.8073 2025-05-03 14:32:38,320 - pyskl - INFO - Epoch [32][800/1281] lr: 2.236e-02, eta: 22:25:21, time: 0.545, data_time: 0.000, memory: 9000, top1_acc: 0.8931, top5_acc: 0.9988, loss_cls: 2.8115, loss: 2.8115 2025-05-03 14:33:33,669 - pyskl - INFO - Epoch [32][900/1281] lr: 2.234e-02, eta: 22:24:36, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.8994, top5_acc: 0.9944, loss_cls: 2.8246, loss: 2.8246 2025-05-03 14:34:28,764 - pyskl - INFO - Epoch [32][1000/1281] lr: 2.233e-02, eta: 22:23:49, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.8869, top5_acc: 0.9944, loss_cls: 2.7567, loss: 2.7567 2025-05-03 14:35:23,965 - pyskl - INFO - Epoch [32][1100/1281] lr: 2.232e-02, eta: 22:23:03, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.8831, top5_acc: 0.9938, loss_cls: 2.9660, loss: 2.9660 2025-05-03 14:36:18,989 - pyskl - INFO - Epoch [32][1200/1281] lr: 2.231e-02, eta: 22:22:17, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.8844, top5_acc: 0.9956, loss_cls: 2.8954, loss: 2.8954 2025-05-03 14:37:05,857 - pyskl - INFO - Saving checkpoint at 32 epochs 2025-05-03 14:37:53,869 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 14:37:53,926 - pyskl - INFO - top1_acc 0.8531 top5_acc 0.9899 2025-05-03 14:37:53,926 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 14:37:53,934 - pyskl - INFO - mean_acc 0.8050 2025-05-03 14:37:53,995 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_26.pth was removed 2025-05-03 14:37:55,734 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. 2025-05-03 14:37:55,735 - pyskl - INFO - Best top1_acc is 0.8531 at 32 epoch. 2025-05-03 14:37:55,738 - pyskl - INFO - Epoch(val) [32][533] top1_acc: 0.8531, top5_acc: 0.9899, mean_class_accuracy: 0.8050 2025-05-03 14:39:01,654 - pyskl - INFO - Epoch [33][100/1281] lr: 2.228e-02, eta: 22:18:48, time: 0.659, data_time: 0.182, memory: 9000, top1_acc: 0.9119, top5_acc: 1.0000, loss_cls: 2.6932, loss: 2.6932 2025-05-03 14:39:56,281 - pyskl - INFO - Epoch [33][200/1281] lr: 2.227e-02, eta: 22:18:00, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9006, top5_acc: 0.9981, loss_cls: 2.7060, loss: 2.7060 2025-05-03 14:40:53,605 - pyskl - INFO - Epoch [33][300/1281] lr: 2.226e-02, eta: 22:17:22, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9006, top5_acc: 0.9962, loss_cls: 2.7738, loss: 2.7738 2025-05-03 14:41:51,373 - pyskl - INFO - Epoch [33][400/1281] lr: 2.225e-02, eta: 22:16:46, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.8956, top5_acc: 0.9994, loss_cls: 2.7325, loss: 2.7325 2025-05-03 14:42:48,995 - pyskl - INFO - Epoch [33][500/1281] lr: 2.223e-02, eta: 22:16:09, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9087, top5_acc: 0.9962, loss_cls: 2.7074, loss: 2.7074 2025-05-03 14:43:46,104 - pyskl - INFO - Epoch [33][600/1281] lr: 2.222e-02, eta: 22:15:29, time: 0.571, data_time: 0.000, memory: 9000, top1_acc: 0.8894, top5_acc: 1.0000, loss_cls: 2.7887, loss: 2.7887 2025-05-03 14:44:44,176 - pyskl - INFO - Epoch [33][700/1281] lr: 2.221e-02, eta: 22:14:54, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.8725, top5_acc: 0.9956, loss_cls: 2.9275, loss: 2.9275 2025-05-03 14:45:41,986 - pyskl - INFO - Epoch [33][800/1281] lr: 2.219e-02, eta: 22:14:17, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.8962, top5_acc: 0.9950, loss_cls: 2.7918, loss: 2.7918 2025-05-03 14:46:39,349 - pyskl - INFO - Epoch [33][900/1281] lr: 2.218e-02, eta: 22:13:39, time: 0.574, data_time: 0.000, memory: 9000, top1_acc: 0.8931, top5_acc: 0.9962, loss_cls: 2.8267, loss: 2.8267 2025-05-03 14:47:35,668 - pyskl - INFO - Epoch [33][1000/1281] lr: 2.217e-02, eta: 22:12:56, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 2.6765, loss: 2.6765 2025-05-03 14:48:31,887 - pyskl - INFO - Epoch [33][1100/1281] lr: 2.216e-02, eta: 22:12:14, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.8825, top5_acc: 0.9975, loss_cls: 2.8387, loss: 2.8387 2025-05-03 14:49:26,925 - pyskl - INFO - Epoch [33][1200/1281] lr: 2.214e-02, eta: 22:11:27, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.8950, top5_acc: 0.9969, loss_cls: 2.8072, loss: 2.8072 2025-05-03 14:50:12,846 - pyskl - INFO - Saving checkpoint at 33 epochs 2025-05-03 14:50:59,725 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 14:50:59,780 - pyskl - INFO - top1_acc 0.8481 top5_acc 0.9889 2025-05-03 14:50:59,781 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 14:50:59,788 - pyskl - INFO - mean_acc 0.8018 2025-05-03 14:50:59,791 - pyskl - INFO - Epoch(val) [33][533] top1_acc: 0.8481, top5_acc: 0.9889, mean_class_accuracy: 0.8018 2025-05-03 14:52:04,007 - pyskl - INFO - Epoch [34][100/1281] lr: 2.212e-02, eta: 22:07:56, time: 0.642, data_time: 0.182, memory: 9000, top1_acc: 0.9069, top5_acc: 0.9975, loss_cls: 2.7261, loss: 2.7261 2025-05-03 14:52:56,948 - pyskl - INFO - Epoch [34][200/1281] lr: 2.211e-02, eta: 22:07:02, time: 0.529, data_time: 0.000, memory: 9000, top1_acc: 0.9044, top5_acc: 0.9962, loss_cls: 2.7405, loss: 2.7405 2025-05-03 14:53:51,363 - pyskl - INFO - Epoch [34][300/1281] lr: 2.209e-02, eta: 22:06:13, time: 0.544, data_time: 0.000, memory: 9000, top1_acc: 0.9069, top5_acc: 1.0000, loss_cls: 2.6888, loss: 2.6888 2025-05-03 14:54:45,743 - pyskl - INFO - Epoch [34][400/1281] lr: 2.208e-02, eta: 22:05:24, time: 0.544, data_time: 0.000, memory: 9000, top1_acc: 0.8862, top5_acc: 0.9950, loss_cls: 2.8245, loss: 2.8245 2025-05-03 14:55:41,183 - pyskl - INFO - Epoch [34][500/1281] lr: 2.207e-02, eta: 22:04:39, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9081, top5_acc: 0.9969, loss_cls: 2.7409, loss: 2.7409 2025-05-03 14:56:36,519 - pyskl - INFO - Epoch [34][600/1281] lr: 2.205e-02, eta: 22:03:53, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.8956, top5_acc: 0.9956, loss_cls: 2.8174, loss: 2.8174 2025-05-03 14:57:32,134 - pyskl - INFO - Epoch [34][700/1281] lr: 2.204e-02, eta: 22:03:08, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.8950, top5_acc: 0.9994, loss_cls: 2.7496, loss: 2.7496 2025-05-03 14:58:28,721 - pyskl - INFO - Epoch [34][800/1281] lr: 2.203e-02, eta: 22:02:27, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.8881, top5_acc: 0.9944, loss_cls: 2.7307, loss: 2.7307 2025-05-03 14:59:24,638 - pyskl - INFO - Epoch [34][900/1281] lr: 2.201e-02, eta: 22:01:43, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.8844, top5_acc: 0.9956, loss_cls: 2.7678, loss: 2.7678 2025-05-03 15:00:20,513 - pyskl - INFO - Epoch [34][1000/1281] lr: 2.200e-02, eta: 22:00:58, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.8962, top5_acc: 0.9975, loss_cls: 2.8671, loss: 2.8671 2025-05-03 15:01:15,652 - pyskl - INFO - Epoch [34][1100/1281] lr: 2.199e-02, eta: 22:00:12, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.8881, top5_acc: 0.9956, loss_cls: 2.8849, loss: 2.8849 2025-05-03 15:02:11,799 - pyskl - INFO - Epoch [34][1200/1281] lr: 2.197e-02, eta: 21:59:28, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.8956, top5_acc: 0.9969, loss_cls: 2.7620, loss: 2.7620 2025-05-03 15:02:56,882 - pyskl - INFO - Saving checkpoint at 34 epochs 2025-05-03 15:03:43,569 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 15:03:43,626 - pyskl - INFO - top1_acc 0.8440 top5_acc 0.9890 2025-05-03 15:03:43,626 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 15:03:43,633 - pyskl - INFO - mean_acc 0.8005 2025-05-03 15:03:43,636 - pyskl - INFO - Epoch(val) [34][533] top1_acc: 0.8440, top5_acc: 0.9890, mean_class_accuracy: 0.8005 2025-05-03 15:04:47,354 - pyskl - INFO - Epoch [35][100/1281] lr: 2.195e-02, eta: 21:56:01, time: 0.637, data_time: 0.180, memory: 9000, top1_acc: 0.9025, top5_acc: 0.9981, loss_cls: 2.6750, loss: 2.6750 2025-05-03 15:05:40,243 - pyskl - INFO - Epoch [35][200/1281] lr: 2.194e-02, eta: 21:55:07, time: 0.529, data_time: 0.000, memory: 9000, top1_acc: 0.9106, top5_acc: 0.9981, loss_cls: 2.6668, loss: 2.6668 2025-05-03 15:06:35,024 - pyskl - INFO - Epoch [35][300/1281] lr: 2.192e-02, eta: 21:54:19, time: 0.548, data_time: 0.000, memory: 9000, top1_acc: 0.8969, top5_acc: 0.9975, loss_cls: 2.6976, loss: 2.6976 2025-05-03 15:07:30,110 - pyskl - INFO - Epoch [35][400/1281] lr: 2.191e-02, eta: 21:53:32, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9087, top5_acc: 0.9981, loss_cls: 2.6210, loss: 2.6210 2025-05-03 15:08:25,984 - pyskl - INFO - Epoch [35][500/1281] lr: 2.190e-02, eta: 21:52:48, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 2.7842, loss: 2.7842 2025-05-03 15:09:21,015 - pyskl - INFO - Epoch [35][600/1281] lr: 2.188e-02, eta: 21:52:01, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.8956, top5_acc: 0.9950, loss_cls: 2.8310, loss: 2.8310 2025-05-03 15:10:16,230 - pyskl - INFO - Epoch [35][700/1281] lr: 2.187e-02, eta: 21:51:15, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.8875, top5_acc: 0.9969, loss_cls: 2.8000, loss: 2.8000 2025-05-03 15:11:11,736 - pyskl - INFO - Epoch [35][800/1281] lr: 2.185e-02, eta: 21:50:29, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.8762, top5_acc: 0.9938, loss_cls: 2.8934, loss: 2.8934 2025-05-03 15:12:07,015 - pyskl - INFO - Epoch [35][900/1281] lr: 2.184e-02, eta: 21:49:43, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.8912, top5_acc: 0.9950, loss_cls: 2.7015, loss: 2.7015 2025-05-03 15:13:02,663 - pyskl - INFO - Epoch [35][1000/1281] lr: 2.183e-02, eta: 21:48:58, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 2.7371, loss: 2.7371 2025-05-03 15:13:58,089 - pyskl - INFO - Epoch [35][1100/1281] lr: 2.181e-02, eta: 21:48:12, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9012, top5_acc: 0.9962, loss_cls: 2.7756, loss: 2.7756 2025-05-03 15:14:54,220 - pyskl - INFO - Epoch [35][1200/1281] lr: 2.180e-02, eta: 21:47:28, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9075, top5_acc: 0.9950, loss_cls: 2.7597, loss: 2.7597 2025-05-03 15:15:41,479 - pyskl - INFO - Saving checkpoint at 35 epochs 2025-05-03 15:16:29,832 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 15:16:29,904 - pyskl - INFO - top1_acc 0.8377 top5_acc 0.9854 2025-05-03 15:16:29,904 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 15:16:29,915 - pyskl - INFO - mean_acc 0.7806 2025-05-03 15:16:29,919 - pyskl - INFO - Epoch(val) [35][533] top1_acc: 0.8377, top5_acc: 0.9854, mean_class_accuracy: 0.7806 2025-05-03 15:17:36,034 - pyskl - INFO - Epoch [36][100/1281] lr: 2.178e-02, eta: 21:44:13, time: 0.661, data_time: 0.181, memory: 9000, top1_acc: 0.9069, top5_acc: 0.9962, loss_cls: 2.7291, loss: 2.7291 2025-05-03 15:18:31,833 - pyskl - INFO - Epoch [36][200/1281] lr: 2.176e-02, eta: 21:43:28, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 2.6181, loss: 2.6181 2025-05-03 15:19:28,489 - pyskl - INFO - Epoch [36][300/1281] lr: 2.175e-02, eta: 21:42:47, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.9038, top5_acc: 0.9981, loss_cls: 2.7073, loss: 2.7073 2025-05-03 15:20:24,768 - pyskl - INFO - Epoch [36][400/1281] lr: 2.173e-02, eta: 21:42:04, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.8956, top5_acc: 0.9981, loss_cls: 2.8169, loss: 2.8169 2025-05-03 15:21:20,900 - pyskl - INFO - Epoch [36][500/1281] lr: 2.172e-02, eta: 21:41:20, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.8850, top5_acc: 0.9962, loss_cls: 2.7666, loss: 2.7666 2025-05-03 15:22:16,762 - pyskl - INFO - Epoch [36][600/1281] lr: 2.171e-02, eta: 21:40:35, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9156, top5_acc: 1.0000, loss_cls: 2.6641, loss: 2.6641 2025-05-03 15:23:12,904 - pyskl - INFO - Epoch [36][700/1281] lr: 2.169e-02, eta: 21:39:52, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9069, top5_acc: 0.9956, loss_cls: 2.6888, loss: 2.6888 2025-05-03 15:24:08,718 - pyskl - INFO - Epoch [36][800/1281] lr: 2.168e-02, eta: 21:39:07, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.8938, top5_acc: 0.9994, loss_cls: 2.7227, loss: 2.7227 2025-05-03 15:25:04,629 - pyskl - INFO - Epoch [36][900/1281] lr: 2.167e-02, eta: 21:38:22, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.8794, top5_acc: 0.9969, loss_cls: 2.8112, loss: 2.8112 2025-05-03 15:26:00,134 - pyskl - INFO - Epoch [36][1000/1281] lr: 2.165e-02, eta: 21:37:37, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9956, loss_cls: 2.7235, loss: 2.7235 2025-05-03 15:26:55,535 - pyskl - INFO - Epoch [36][1100/1281] lr: 2.164e-02, eta: 21:36:50, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9031, top5_acc: 0.9962, loss_cls: 2.7942, loss: 2.7942 2025-05-03 15:27:50,903 - pyskl - INFO - Epoch [36][1200/1281] lr: 2.162e-02, eta: 21:36:04, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9044, top5_acc: 0.9994, loss_cls: 2.7482, loss: 2.7482 2025-05-03 15:28:36,301 - pyskl - INFO - Saving checkpoint at 36 epochs 2025-05-03 15:29:22,546 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 15:29:22,602 - pyskl - INFO - top1_acc 0.8283 top5_acc 0.9852 2025-05-03 15:29:22,602 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 15:29:22,609 - pyskl - INFO - mean_acc 0.7638 2025-05-03 15:29:22,612 - pyskl - INFO - Epoch(val) [36][533] top1_acc: 0.8283, top5_acc: 0.9852, mean_class_accuracy: 0.7638 2025-05-03 15:30:27,266 - pyskl - INFO - Epoch [37][100/1281] lr: 2.160e-02, eta: 21:32:48, time: 0.646, data_time: 0.181, memory: 9000, top1_acc: 0.9131, top5_acc: 1.0000, loss_cls: 2.6524, loss: 2.6524 2025-05-03 15:31:20,922 - pyskl - INFO - Epoch [37][200/1281] lr: 2.158e-02, eta: 21:31:56, time: 0.537, data_time: 0.000, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9994, loss_cls: 2.6783, loss: 2.6783 2025-05-03 15:32:14,875 - pyskl - INFO - Epoch [37][300/1281] lr: 2.157e-02, eta: 21:31:05, time: 0.540, data_time: 0.000, memory: 9000, top1_acc: 0.9069, top5_acc: 0.9988, loss_cls: 2.7735, loss: 2.7735 2025-05-03 15:33:10,539 - pyskl - INFO - Epoch [37][400/1281] lr: 2.156e-02, eta: 21:30:20, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8988, top5_acc: 0.9969, loss_cls: 2.8552, loss: 2.8552 2025-05-03 15:34:04,813 - pyskl - INFO - Epoch [37][500/1281] lr: 2.154e-02, eta: 21:29:30, time: 0.543, data_time: 0.000, memory: 9000, top1_acc: 0.8838, top5_acc: 0.9944, loss_cls: 2.7935, loss: 2.7935 2025-05-03 15:34:59,890 - pyskl - INFO - Epoch [37][600/1281] lr: 2.153e-02, eta: 21:28:43, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 2.7292, loss: 2.7292 2025-05-03 15:35:55,509 - pyskl - INFO - Epoch [37][700/1281] lr: 2.151e-02, eta: 21:27:58, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.8919, top5_acc: 0.9981, loss_cls: 2.7920, loss: 2.7920 2025-05-03 15:36:51,229 - pyskl - INFO - Epoch [37][800/1281] lr: 2.150e-02, eta: 21:27:12, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8975, top5_acc: 0.9981, loss_cls: 2.7720, loss: 2.7720 2025-05-03 15:37:48,957 - pyskl - INFO - Epoch [37][900/1281] lr: 2.149e-02, eta: 21:26:33, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.8900, top5_acc: 0.9975, loss_cls: 2.8399, loss: 2.8399 2025-05-03 15:38:47,232 - pyskl - INFO - Epoch [37][1000/1281] lr: 2.147e-02, eta: 21:25:56, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.8850, top5_acc: 0.9981, loss_cls: 2.8180, loss: 2.8180 2025-05-03 15:39:45,206 - pyskl - INFO - Epoch [37][1100/1281] lr: 2.146e-02, eta: 21:25:17, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9000, top5_acc: 0.9950, loss_cls: 2.8201, loss: 2.8201 2025-05-03 15:40:43,249 - pyskl - INFO - Epoch [37][1200/1281] lr: 2.144e-02, eta: 21:24:39, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.8969, top5_acc: 0.9950, loss_cls: 2.7485, loss: 2.7485 2025-05-03 15:41:30,939 - pyskl - INFO - Saving checkpoint at 37 epochs 2025-05-03 15:42:19,414 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 15:42:19,472 - pyskl - INFO - top1_acc 0.8425 top5_acc 0.9876 2025-05-03 15:42:19,472 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 15:42:19,480 - pyskl - INFO - mean_acc 0.7880 2025-05-03 15:42:19,483 - pyskl - INFO - Epoch(val) [37][533] top1_acc: 0.8425, top5_acc: 0.9876, mean_class_accuracy: 0.7880 2025-05-03 15:43:26,069 - pyskl - INFO - Epoch [38][100/1281] lr: 2.142e-02, eta: 21:21:32, time: 0.666, data_time: 0.183, memory: 9000, top1_acc: 0.9094, top5_acc: 0.9981, loss_cls: 2.6623, loss: 2.6623 2025-05-03 15:44:21,764 - pyskl - INFO - Epoch [38][200/1281] lr: 2.140e-02, eta: 21:20:46, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9069, top5_acc: 0.9975, loss_cls: 2.6455, loss: 2.6455 2025-05-03 15:45:19,360 - pyskl - INFO - Epoch [38][300/1281] lr: 2.139e-02, eta: 21:20:07, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9156, top5_acc: 0.9994, loss_cls: 2.6455, loss: 2.6455 2025-05-03 15:46:17,153 - pyskl - INFO - Epoch [38][400/1281] lr: 2.137e-02, eta: 21:19:27, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 2.6756, loss: 2.6756 2025-05-03 15:47:15,583 - pyskl - INFO - Epoch [38][500/1281] lr: 2.136e-02, eta: 21:18:50, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9075, top5_acc: 0.9975, loss_cls: 2.6811, loss: 2.6811 2025-05-03 15:48:14,426 - pyskl - INFO - Epoch [38][600/1281] lr: 2.134e-02, eta: 21:18:14, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.8931, top5_acc: 0.9975, loss_cls: 2.7522, loss: 2.7522 2025-05-03 15:49:13,207 - pyskl - INFO - Epoch [38][700/1281] lr: 2.133e-02, eta: 21:17:37, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9969, loss_cls: 2.6540, loss: 2.6540 2025-05-03 15:50:10,479 - pyskl - INFO - Epoch [38][800/1281] lr: 2.132e-02, eta: 21:16:56, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 2.5795, loss: 2.5795 2025-05-03 15:51:07,756 - pyskl - INFO - Epoch [38][900/1281] lr: 2.130e-02, eta: 21:16:15, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9081, top5_acc: 0.9944, loss_cls: 2.6882, loss: 2.6882 2025-05-03 15:52:05,542 - pyskl - INFO - Epoch [38][1000/1281] lr: 2.129e-02, eta: 21:15:35, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9031, top5_acc: 0.9975, loss_cls: 2.6414, loss: 2.6414 2025-05-03 15:53:01,460 - pyskl - INFO - Epoch [38][1100/1281] lr: 2.127e-02, eta: 21:14:50, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9031, top5_acc: 0.9938, loss_cls: 2.7376, loss: 2.7376 2025-05-03 15:53:58,159 - pyskl - INFO - Epoch [38][1200/1281] lr: 2.126e-02, eta: 21:14:07, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.8900, top5_acc: 0.9950, loss_cls: 2.8027, loss: 2.8027 2025-05-03 15:54:44,813 - pyskl - INFO - Saving checkpoint at 38 epochs 2025-05-03 15:55:32,107 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 15:55:32,164 - pyskl - INFO - top1_acc 0.7815 top5_acc 0.9791 2025-05-03 15:55:32,164 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 15:55:32,171 - pyskl - INFO - mean_acc 0.7369 2025-05-03 15:55:32,174 - pyskl - INFO - Epoch(val) [38][533] top1_acc: 0.7815, top5_acc: 0.9791, mean_class_accuracy: 0.7369 2025-05-03 15:56:36,320 - pyskl - INFO - Epoch [39][100/1281] lr: 2.123e-02, eta: 21:10:56, time: 0.641, data_time: 0.178, memory: 9000, top1_acc: 0.8956, top5_acc: 0.9981, loss_cls: 2.7731, loss: 2.7731 2025-05-03 15:57:29,742 - pyskl - INFO - Epoch [39][200/1281] lr: 2.122e-02, eta: 21:10:03, time: 0.534, data_time: 0.000, memory: 9000, top1_acc: 0.9194, top5_acc: 0.9969, loss_cls: 2.6456, loss: 2.6456 2025-05-03 15:58:25,210 - pyskl - INFO - Epoch [39][300/1281] lr: 2.120e-02, eta: 21:09:17, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 2.7255, loss: 2.7255 2025-05-03 15:59:20,220 - pyskl - INFO - Epoch [39][400/1281] lr: 2.119e-02, eta: 21:08:29, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9187, top5_acc: 0.9994, loss_cls: 2.6492, loss: 2.6492 2025-05-03 16:00:16,069 - pyskl - INFO - Epoch [39][500/1281] lr: 2.117e-02, eta: 21:07:43, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.8981, top5_acc: 0.9981, loss_cls: 2.6184, loss: 2.6184 2025-05-03 16:01:12,023 - pyskl - INFO - Epoch [39][600/1281] lr: 2.116e-02, eta: 21:06:58, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9038, top5_acc: 0.9981, loss_cls: 2.7674, loss: 2.7674 2025-05-03 16:02:08,462 - pyskl - INFO - Epoch [39][700/1281] lr: 2.114e-02, eta: 21:06:14, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 2.7175, loss: 2.7175 2025-05-03 16:03:04,872 - pyskl - INFO - Epoch [39][800/1281] lr: 2.113e-02, eta: 21:05:30, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9050, top5_acc: 0.9944, loss_cls: 2.6941, loss: 2.6941 2025-05-03 16:04:00,575 - pyskl - INFO - Epoch [39][900/1281] lr: 2.111e-02, eta: 21:04:44, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8975, top5_acc: 0.9969, loss_cls: 2.6740, loss: 2.6740 2025-05-03 16:04:56,413 - pyskl - INFO - Epoch [39][1000/1281] lr: 2.110e-02, eta: 21:03:58, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9031, top5_acc: 0.9994, loss_cls: 2.6207, loss: 2.6207 2025-05-03 16:05:51,278 - pyskl - INFO - Epoch [39][1100/1281] lr: 2.108e-02, eta: 21:03:10, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 2.7109, loss: 2.7109 2025-05-03 16:06:47,113 - pyskl - INFO - Epoch [39][1200/1281] lr: 2.107e-02, eta: 21:02:24, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.8919, top5_acc: 0.9938, loss_cls: 2.8501, loss: 2.8501 2025-05-03 16:07:32,617 - pyskl - INFO - Saving checkpoint at 39 epochs 2025-05-03 16:08:19,464 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 16:08:19,524 - pyskl - INFO - top1_acc 0.8343 top5_acc 0.9865 2025-05-03 16:08:19,524 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 16:08:19,532 - pyskl - INFO - mean_acc 0.8033 2025-05-03 16:08:19,534 - pyskl - INFO - Epoch(val) [39][533] top1_acc: 0.8343, top5_acc: 0.9865, mean_class_accuracy: 0.8033 2025-05-03 16:09:23,904 - pyskl - INFO - Epoch [40][100/1281] lr: 2.104e-02, eta: 20:59:17, time: 0.644, data_time: 0.181, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9956, loss_cls: 2.7292, loss: 2.7292 2025-05-03 16:10:16,391 - pyskl - INFO - Epoch [40][200/1281] lr: 2.103e-02, eta: 20:58:22, time: 0.525, data_time: 0.000, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9988, loss_cls: 2.7283, loss: 2.7283 2025-05-03 16:11:11,881 - pyskl - INFO - Epoch [40][300/1281] lr: 2.101e-02, eta: 20:57:35, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9106, top5_acc: 0.9988, loss_cls: 2.6251, loss: 2.6251 2025-05-03 16:12:07,940 - pyskl - INFO - Epoch [40][400/1281] lr: 2.100e-02, eta: 20:56:50, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9225, top5_acc: 0.9981, loss_cls: 2.6606, loss: 2.6606 2025-05-03 16:13:03,863 - pyskl - INFO - Epoch [40][500/1281] lr: 2.098e-02, eta: 20:56:04, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9144, top5_acc: 1.0000, loss_cls: 2.6131, loss: 2.6131 2025-05-03 16:13:59,428 - pyskl - INFO - Epoch [40][600/1281] lr: 2.097e-02, eta: 20:55:18, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9087, top5_acc: 0.9962, loss_cls: 2.7156, loss: 2.7156 2025-05-03 16:14:57,958 - pyskl - INFO - Epoch [40][700/1281] lr: 2.095e-02, eta: 20:54:40, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9044, top5_acc: 0.9969, loss_cls: 2.7000, loss: 2.7000 2025-05-03 16:15:54,908 - pyskl - INFO - Epoch [40][800/1281] lr: 2.094e-02, eta: 20:53:57, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.9081, top5_acc: 0.9975, loss_cls: 2.6639, loss: 2.6639 2025-05-03 16:16:53,662 - pyskl - INFO - Epoch [40][900/1281] lr: 2.092e-02, eta: 20:53:19, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.8981, top5_acc: 0.9969, loss_cls: 2.7353, loss: 2.7353 2025-05-03 16:17:52,707 - pyskl - INFO - Epoch [40][1000/1281] lr: 2.091e-02, eta: 20:52:42, time: 0.590, data_time: 0.000, memory: 9000, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 2.7520, loss: 2.7520 2025-05-03 16:18:50,130 - pyskl - INFO - Epoch [40][1100/1281] lr: 2.089e-02, eta: 20:52:00, time: 0.574, data_time: 0.000, memory: 9000, top1_acc: 0.9000, top5_acc: 0.9981, loss_cls: 2.7762, loss: 2.7762 2025-05-03 16:19:46,501 - pyskl - INFO - Epoch [40][1200/1281] lr: 2.088e-02, eta: 20:51:16, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9000, top5_acc: 0.9988, loss_cls: 2.7832, loss: 2.7832 2025-05-03 16:20:32,053 - pyskl - INFO - Saving checkpoint at 40 epochs 2025-05-03 16:21:18,892 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 16:21:18,952 - pyskl - INFO - top1_acc 0.8547 top5_acc 0.9925 2025-05-03 16:21:18,952 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 16:21:18,960 - pyskl - INFO - mean_acc 0.8134 2025-05-03 16:21:19,019 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_32.pth was removed 2025-05-03 16:21:20,582 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. 2025-05-03 16:21:20,582 - pyskl - INFO - Best top1_acc is 0.8547 at 40 epoch. 2025-05-03 16:21:20,588 - pyskl - INFO - Epoch(val) [40][533] top1_acc: 0.8547, top5_acc: 0.9925, mean_class_accuracy: 0.8134 2025-05-03 16:22:24,443 - pyskl - INFO - Epoch [41][100/1281] lr: 2.085e-02, eta: 20:48:10, time: 0.639, data_time: 0.181, memory: 9000, top1_acc: 0.9163, top5_acc: 0.9988, loss_cls: 2.6068, loss: 2.6068 2025-05-03 16:23:17,905 - pyskl - INFO - Epoch [41][200/1281] lr: 2.083e-02, eta: 20:47:18, time: 0.535, data_time: 0.000, memory: 9000, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 2.6579, loss: 2.6579 2025-05-03 16:24:13,144 - pyskl - INFO - Epoch [41][300/1281] lr: 2.082e-02, eta: 20:46:30, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9100, top5_acc: 0.9981, loss_cls: 2.6621, loss: 2.6621 2025-05-03 16:25:09,019 - pyskl - INFO - Epoch [41][400/1281] lr: 2.080e-02, eta: 20:45:44, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 2.6230, loss: 2.6230 2025-05-03 16:26:04,572 - pyskl - INFO - Epoch [41][500/1281] lr: 2.079e-02, eta: 20:44:57, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9969, loss_cls: 2.6474, loss: 2.6474 2025-05-03 16:27:01,177 - pyskl - INFO - Epoch [41][600/1281] lr: 2.077e-02, eta: 20:44:13, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.8969, top5_acc: 0.9975, loss_cls: 2.8055, loss: 2.8055 2025-05-03 16:27:56,815 - pyskl - INFO - Epoch [41][700/1281] lr: 2.076e-02, eta: 20:43:27, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 2.7006, loss: 2.7006 2025-05-03 16:28:52,519 - pyskl - INFO - Epoch [41][800/1281] lr: 2.074e-02, eta: 20:42:40, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9000, top5_acc: 0.9962, loss_cls: 2.7212, loss: 2.7212 2025-05-03 16:29:48,136 - pyskl - INFO - Epoch [41][900/1281] lr: 2.073e-02, eta: 20:41:53, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.8975, top5_acc: 0.9969, loss_cls: 2.7177, loss: 2.7177 2025-05-03 16:30:44,126 - pyskl - INFO - Epoch [41][1000/1281] lr: 2.071e-02, eta: 20:41:08, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.8906, top5_acc: 0.9919, loss_cls: 2.8388, loss: 2.8388 2025-05-03 16:31:39,110 - pyskl - INFO - Epoch [41][1100/1281] lr: 2.070e-02, eta: 20:40:19, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9056, top5_acc: 1.0000, loss_cls: 2.6521, loss: 2.6521 2025-05-03 16:32:34,762 - pyskl - INFO - Epoch [41][1200/1281] lr: 2.068e-02, eta: 20:39:32, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9150, top5_acc: 0.9975, loss_cls: 2.6777, loss: 2.6777 2025-05-03 16:33:19,713 - pyskl - INFO - Saving checkpoint at 41 epochs 2025-05-03 16:34:06,149 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 16:34:06,205 - pyskl - INFO - top1_acc 0.8591 top5_acc 0.9903 2025-05-03 16:34:06,206 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 16:34:06,213 - pyskl - INFO - mean_acc 0.8025 2025-05-03 16:34:06,273 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_40.pth was removed 2025-05-03 16:34:07,855 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. 2025-05-03 16:34:07,856 - pyskl - INFO - Best top1_acc is 0.8591 at 41 epoch. 2025-05-03 16:34:07,860 - pyskl - INFO - Epoch(val) [41][533] top1_acc: 0.8591, top5_acc: 0.9903, mean_class_accuracy: 0.8025 2025-05-03 16:35:12,397 - pyskl - INFO - Epoch [42][100/1281] lr: 2.065e-02, eta: 20:36:32, time: 0.645, data_time: 0.182, memory: 9000, top1_acc: 0.9219, top5_acc: 0.9981, loss_cls: 2.5771, loss: 2.5771 2025-05-03 16:36:06,220 - pyskl - INFO - Epoch [42][200/1281] lr: 2.064e-02, eta: 20:35:40, time: 0.538, data_time: 0.000, memory: 9000, top1_acc: 0.9175, top5_acc: 0.9962, loss_cls: 2.5444, loss: 2.5444 2025-05-03 16:37:03,123 - pyskl - INFO - Epoch [42][300/1281] lr: 2.062e-02, eta: 20:34:57, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9988, loss_cls: 2.6674, loss: 2.6674 2025-05-03 16:38:00,664 - pyskl - INFO - Epoch [42][400/1281] lr: 2.061e-02, eta: 20:34:15, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 2.5782, loss: 2.5782 2025-05-03 16:38:59,091 - pyskl - INFO - Epoch [42][500/1281] lr: 2.059e-02, eta: 20:33:36, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9006, top5_acc: 0.9981, loss_cls: 2.6979, loss: 2.6979 2025-05-03 16:39:57,540 - pyskl - INFO - Epoch [42][600/1281] lr: 2.057e-02, eta: 20:32:56, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9019, top5_acc: 0.9962, loss_cls: 2.7191, loss: 2.7191 2025-05-03 16:40:56,042 - pyskl - INFO - Epoch [42][700/1281] lr: 2.056e-02, eta: 20:32:17, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9975, loss_cls: 2.6366, loss: 2.6366 2025-05-03 16:41:54,155 - pyskl - INFO - Epoch [42][800/1281] lr: 2.054e-02, eta: 20:31:36, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9019, top5_acc: 0.9981, loss_cls: 2.5926, loss: 2.5926 2025-05-03 16:42:52,838 - pyskl - INFO - Epoch [42][900/1281] lr: 2.053e-02, eta: 20:30:57, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9106, top5_acc: 0.9956, loss_cls: 2.7250, loss: 2.7250 2025-05-03 16:43:51,084 - pyskl - INFO - Epoch [42][1000/1281] lr: 2.051e-02, eta: 20:30:17, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9075, top5_acc: 0.9981, loss_cls: 2.6288, loss: 2.6288 2025-05-03 16:44:49,133 - pyskl - INFO - Epoch [42][1100/1281] lr: 2.050e-02, eta: 20:29:36, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.8744, top5_acc: 0.9956, loss_cls: 2.8571, loss: 2.8571 2025-05-03 16:45:46,765 - pyskl - INFO - Epoch [42][1200/1281] lr: 2.048e-02, eta: 20:28:54, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.8825, top5_acc: 0.9944, loss_cls: 2.7906, loss: 2.7906 2025-05-03 16:46:34,166 - pyskl - INFO - Saving checkpoint at 42 epochs 2025-05-03 16:47:22,386 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 16:47:22,442 - pyskl - INFO - top1_acc 0.8518 top5_acc 0.9885 2025-05-03 16:47:22,443 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 16:47:22,450 - pyskl - INFO - mean_acc 0.8117 2025-05-03 16:47:22,453 - pyskl - INFO - Epoch(val) [42][533] top1_acc: 0.8518, top5_acc: 0.9885, mean_class_accuracy: 0.8117 2025-05-03 16:48:28,700 - pyskl - INFO - Epoch [43][100/1281] lr: 2.045e-02, eta: 20:26:00, time: 0.662, data_time: 0.181, memory: 9000, top1_acc: 0.9331, top5_acc: 0.9994, loss_cls: 2.5299, loss: 2.5299 2025-05-03 16:49:23,650 - pyskl - INFO - Epoch [43][200/1281] lr: 2.044e-02, eta: 20:25:12, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 2.6144, loss: 2.6144 2025-05-03 16:50:21,206 - pyskl - INFO - Epoch [43][300/1281] lr: 2.042e-02, eta: 20:24:29, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9175, top5_acc: 0.9988, loss_cls: 2.5713, loss: 2.5713 2025-05-03 16:51:18,860 - pyskl - INFO - Epoch [43][400/1281] lr: 2.040e-02, eta: 20:23:48, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 2.6380, loss: 2.6380 2025-05-03 16:52:16,274 - pyskl - INFO - Epoch [43][500/1281] lr: 2.039e-02, eta: 20:23:05, time: 0.574, data_time: 0.000, memory: 9000, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 2.4614, loss: 2.4614 2025-05-03 16:53:14,832 - pyskl - INFO - Epoch [43][600/1281] lr: 2.037e-02, eta: 20:22:25, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.9187, top5_acc: 0.9956, loss_cls: 2.6502, loss: 2.6502 2025-05-03 16:54:12,898 - pyskl - INFO - Epoch [43][700/1281] lr: 2.036e-02, eta: 20:21:44, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 2.6059, loss: 2.6059 2025-05-03 16:55:11,027 - pyskl - INFO - Epoch [43][800/1281] lr: 2.034e-02, eta: 20:21:03, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9337, top5_acc: 0.9988, loss_cls: 2.5508, loss: 2.5508 2025-05-03 16:56:09,412 - pyskl - INFO - Epoch [43][900/1281] lr: 2.033e-02, eta: 20:20:23, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.8969, top5_acc: 0.9962, loss_cls: 2.6660, loss: 2.6660 2025-05-03 16:57:08,700 - pyskl - INFO - Epoch [43][1000/1281] lr: 2.031e-02, eta: 20:19:44, time: 0.593, data_time: 0.000, memory: 9000, top1_acc: 0.9062, top5_acc: 0.9975, loss_cls: 2.6610, loss: 2.6610 2025-05-03 16:58:05,775 - pyskl - INFO - Epoch [43][1100/1281] lr: 2.029e-02, eta: 20:19:01, time: 0.571, data_time: 0.000, memory: 9000, top1_acc: 0.9069, top5_acc: 0.9962, loss_cls: 2.7652, loss: 2.7652 2025-05-03 16:59:01,700 - pyskl - INFO - Epoch [43][1200/1281] lr: 2.028e-02, eta: 20:18:14, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 2.5824, loss: 2.5824 2025-05-03 16:59:47,261 - pyskl - INFO - Saving checkpoint at 43 epochs 2025-05-03 17:00:34,022 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 17:00:34,078 - pyskl - INFO - top1_acc 0.8548 top5_acc 0.9899 2025-05-03 17:00:34,078 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 17:00:34,085 - pyskl - INFO - mean_acc 0.8151 2025-05-03 17:00:34,087 - pyskl - INFO - Epoch(val) [43][533] top1_acc: 0.8548, top5_acc: 0.9899, mean_class_accuracy: 0.8151 2025-05-03 17:01:38,827 - pyskl - INFO - Epoch [44][100/1281] lr: 2.025e-02, eta: 20:15:19, time: 0.647, data_time: 0.181, memory: 9000, top1_acc: 0.9237, top5_acc: 0.9975, loss_cls: 2.5039, loss: 2.5039 2025-05-03 17:02:31,691 - pyskl - INFO - Epoch [44][200/1281] lr: 2.023e-02, eta: 20:14:25, time: 0.529, data_time: 0.000, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9981, loss_cls: 2.6309, loss: 2.6309 2025-05-03 17:03:27,218 - pyskl - INFO - Epoch [44][300/1281] lr: 2.022e-02, eta: 20:13:37, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.8950, top5_acc: 0.9975, loss_cls: 2.7139, loss: 2.7139 2025-05-03 17:04:22,431 - pyskl - INFO - Epoch [44][400/1281] lr: 2.020e-02, eta: 20:12:49, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9213, top5_acc: 0.9981, loss_cls: 2.6261, loss: 2.6261 2025-05-03 17:05:17,426 - pyskl - INFO - Epoch [44][500/1281] lr: 2.018e-02, eta: 20:12:00, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9281, top5_acc: 1.0000, loss_cls: 2.5078, loss: 2.5078 2025-05-03 17:06:13,319 - pyskl - INFO - Epoch [44][600/1281] lr: 2.017e-02, eta: 20:11:13, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 2.5806, loss: 2.5806 2025-05-03 17:07:09,363 - pyskl - INFO - Epoch [44][700/1281] lr: 2.015e-02, eta: 20:10:26, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9031, top5_acc: 0.9975, loss_cls: 2.6683, loss: 2.6683 2025-05-03 17:08:05,452 - pyskl - INFO - Epoch [44][800/1281] lr: 2.014e-02, eta: 20:09:40, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9075, top5_acc: 0.9956, loss_cls: 2.6919, loss: 2.6919 2025-05-03 17:09:01,111 - pyskl - INFO - Epoch [44][900/1281] lr: 2.012e-02, eta: 20:08:53, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 2.6652, loss: 2.6652 2025-05-03 17:09:57,039 - pyskl - INFO - Epoch [44][1000/1281] lr: 2.010e-02, eta: 20:08:06, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9056, top5_acc: 0.9962, loss_cls: 2.6047, loss: 2.6047 2025-05-03 17:10:53,181 - pyskl - INFO - Epoch [44][1100/1281] lr: 2.009e-02, eta: 20:07:19, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9962, loss_cls: 2.7443, loss: 2.7443 2025-05-03 17:11:48,039 - pyskl - INFO - Epoch [44][1200/1281] lr: 2.007e-02, eta: 20:06:30, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.8931, top5_acc: 0.9950, loss_cls: 2.7662, loss: 2.7662 2025-05-03 17:12:34,089 - pyskl - INFO - Saving checkpoint at 44 epochs 2025-05-03 17:13:22,500 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 17:13:22,560 - pyskl - INFO - top1_acc 0.8488 top5_acc 0.9879 2025-05-03 17:13:22,561 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 17:13:22,567 - pyskl - INFO - mean_acc 0.8016 2025-05-03 17:13:22,569 - pyskl - INFO - Epoch(val) [44][533] top1_acc: 0.8488, top5_acc: 0.9879, mean_class_accuracy: 0.8016 2025-05-03 17:14:28,106 - pyskl - INFO - Epoch [45][100/1281] lr: 2.004e-02, eta: 20:03:39, time: 0.655, data_time: 0.180, memory: 9000, top1_acc: 0.9213, top5_acc: 0.9994, loss_cls: 2.5451, loss: 2.5451 2025-05-03 17:15:23,036 - pyskl - INFO - Epoch [45][200/1281] lr: 2.003e-02, eta: 20:02:50, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9275, top5_acc: 1.0000, loss_cls: 2.5579, loss: 2.5579 2025-05-03 17:16:20,222 - pyskl - INFO - Epoch [45][300/1281] lr: 2.001e-02, eta: 20:02:06, time: 0.572, data_time: 0.000, memory: 9000, top1_acc: 0.9113, top5_acc: 0.9956, loss_cls: 2.7072, loss: 2.7072 2025-05-03 17:17:18,052 - pyskl - INFO - Epoch [45][400/1281] lr: 1.999e-02, eta: 20:01:24, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9100, top5_acc: 0.9975, loss_cls: 2.6049, loss: 2.6049 2025-05-03 17:18:15,632 - pyskl - INFO - Epoch [45][500/1281] lr: 1.998e-02, eta: 20:00:41, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9137, top5_acc: 0.9962, loss_cls: 2.5475, loss: 2.5475 2025-05-03 17:19:12,135 - pyskl - INFO - Epoch [45][600/1281] lr: 1.996e-02, eta: 19:59:56, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9187, top5_acc: 0.9969, loss_cls: 2.5890, loss: 2.5890 2025-05-03 17:20:08,059 - pyskl - INFO - Epoch [45][700/1281] lr: 1.994e-02, eta: 19:59:09, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9169, top5_acc: 0.9988, loss_cls: 2.5556, loss: 2.5556 2025-05-03 17:21:03,557 - pyskl - INFO - Epoch [45][800/1281] lr: 1.993e-02, eta: 19:58:21, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 2.6130, loss: 2.6130 2025-05-03 17:21:59,214 - pyskl - INFO - Epoch [45][900/1281] lr: 1.991e-02, eta: 19:57:33, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9075, top5_acc: 0.9969, loss_cls: 2.6410, loss: 2.6410 2025-05-03 17:22:55,451 - pyskl - INFO - Epoch [45][1000/1281] lr: 1.989e-02, eta: 19:56:47, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9087, top5_acc: 0.9956, loss_cls: 2.6445, loss: 2.6445 2025-05-03 17:23:51,250 - pyskl - INFO - Epoch [45][1100/1281] lr: 1.988e-02, eta: 19:55:59, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.8969, top5_acc: 0.9981, loss_cls: 2.7358, loss: 2.7358 2025-05-03 17:24:46,374 - pyskl - INFO - Epoch [45][1200/1281] lr: 1.986e-02, eta: 19:55:10, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9119, top5_acc: 0.9969, loss_cls: 2.5942, loss: 2.5942 2025-05-03 17:25:32,069 - pyskl - INFO - Saving checkpoint at 45 epochs 2025-05-03 17:26:18,887 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 17:26:18,948 - pyskl - INFO - top1_acc 0.8515 top5_acc 0.9866 2025-05-03 17:26:18,948 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 17:26:18,955 - pyskl - INFO - mean_acc 0.8011 2025-05-03 17:26:18,958 - pyskl - INFO - Epoch(val) [45][533] top1_acc: 0.8515, top5_acc: 0.9866, mean_class_accuracy: 0.8011 2025-05-03 17:27:23,441 - pyskl - INFO - Epoch [46][100/1281] lr: 1.983e-02, eta: 19:52:20, time: 0.645, data_time: 0.184, memory: 9000, top1_acc: 0.9244, top5_acc: 0.9969, loss_cls: 2.5466, loss: 2.5466 2025-05-03 17:28:16,991 - pyskl - INFO - Epoch [46][200/1281] lr: 1.981e-02, eta: 19:51:27, time: 0.535, data_time: 0.000, memory: 9000, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 2.4948, loss: 2.4948 2025-05-03 17:29:12,007 - pyskl - INFO - Epoch [46][300/1281] lr: 1.980e-02, eta: 19:50:38, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9219, top5_acc: 0.9994, loss_cls: 2.5793, loss: 2.5793 2025-05-03 17:30:08,468 - pyskl - INFO - Epoch [46][400/1281] lr: 1.978e-02, eta: 19:49:52, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9169, top5_acc: 0.9975, loss_cls: 2.5889, loss: 2.5889 2025-05-03 17:31:03,967 - pyskl - INFO - Epoch [46][500/1281] lr: 1.976e-02, eta: 19:49:04, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9962, loss_cls: 2.5219, loss: 2.5219 2025-05-03 17:32:00,254 - pyskl - INFO - Epoch [46][600/1281] lr: 1.975e-02, eta: 19:48:18, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9969, loss_cls: 2.6468, loss: 2.6468 2025-05-03 17:32:55,726 - pyskl - INFO - Epoch [46][700/1281] lr: 1.973e-02, eta: 19:47:30, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9094, top5_acc: 0.9969, loss_cls: 2.5828, loss: 2.5828 2025-05-03 17:33:51,493 - pyskl - INFO - Epoch [46][800/1281] lr: 1.971e-02, eta: 19:46:42, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9069, top5_acc: 0.9981, loss_cls: 2.6723, loss: 2.6723 2025-05-03 17:34:47,027 - pyskl - INFO - Epoch [46][900/1281] lr: 1.970e-02, eta: 19:45:54, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 2.5506, loss: 2.5506 2025-05-03 17:35:43,272 - pyskl - INFO - Epoch [46][1000/1281] lr: 1.968e-02, eta: 19:45:08, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9050, top5_acc: 0.9969, loss_cls: 2.5903, loss: 2.5903 2025-05-03 17:36:40,821 - pyskl - INFO - Epoch [46][1100/1281] lr: 1.966e-02, eta: 19:44:24, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 2.6377, loss: 2.6377 2025-05-03 17:37:39,053 - pyskl - INFO - Epoch [46][1200/1281] lr: 1.965e-02, eta: 19:43:42, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9038, top5_acc: 0.9956, loss_cls: 2.7468, loss: 2.7468 2025-05-03 17:38:26,847 - pyskl - INFO - Saving checkpoint at 46 epochs 2025-05-03 17:39:16,393 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 17:39:16,449 - pyskl - INFO - top1_acc 0.8646 top5_acc 0.9881 2025-05-03 17:39:16,450 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 17:39:16,457 - pyskl - INFO - mean_acc 0.8367 2025-05-03 17:39:16,519 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_41.pth was removed 2025-05-03 17:39:18,090 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. 2025-05-03 17:39:18,090 - pyskl - INFO - Best top1_acc is 0.8646 at 46 epoch. 2025-05-03 17:39:18,095 - pyskl - INFO - Epoch(val) [46][533] top1_acc: 0.8646, top5_acc: 0.9881, mean_class_accuracy: 0.8367 2025-05-03 17:40:23,810 - pyskl - INFO - Epoch [47][100/1281] lr: 1.962e-02, eta: 19:40:57, time: 0.657, data_time: 0.182, memory: 9000, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 2.5307, loss: 2.5307 2025-05-03 17:41:19,652 - pyskl - INFO - Epoch [47][200/1281] lr: 1.960e-02, eta: 19:40:09, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 2.5087, loss: 2.5087 2025-05-03 17:42:17,933 - pyskl - INFO - Epoch [47][300/1281] lr: 1.958e-02, eta: 19:39:27, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9219, top5_acc: 0.9988, loss_cls: 2.5460, loss: 2.5460 2025-05-03 17:43:15,617 - pyskl - INFO - Epoch [47][400/1281] lr: 1.957e-02, eta: 19:38:44, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9106, top5_acc: 0.9981, loss_cls: 2.6414, loss: 2.6414 2025-05-03 17:44:13,305 - pyskl - INFO - Epoch [47][500/1281] lr: 1.955e-02, eta: 19:38:01, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9181, top5_acc: 0.9962, loss_cls: 2.6111, loss: 2.6111 2025-05-03 17:45:11,898 - pyskl - INFO - Epoch [47][600/1281] lr: 1.953e-02, eta: 19:37:19, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.9244, top5_acc: 0.9975, loss_cls: 2.5653, loss: 2.5653 2025-05-03 17:46:10,809 - pyskl - INFO - Epoch [47][700/1281] lr: 1.952e-02, eta: 19:36:39, time: 0.589, data_time: 0.000, memory: 9000, top1_acc: 0.9213, top5_acc: 0.9981, loss_cls: 2.5000, loss: 2.5000 2025-05-03 17:47:08,307 - pyskl - INFO - Epoch [47][800/1281] lr: 1.950e-02, eta: 19:35:55, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 2.6596, loss: 2.6596 2025-05-03 17:48:03,669 - pyskl - INFO - Epoch [47][900/1281] lr: 1.948e-02, eta: 19:35:06, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9156, top5_acc: 0.9962, loss_cls: 2.5338, loss: 2.5338 2025-05-03 17:48:59,096 - pyskl - INFO - Epoch [47][1000/1281] lr: 1.947e-02, eta: 19:34:18, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9181, top5_acc: 0.9962, loss_cls: 2.5995, loss: 2.5995 2025-05-03 17:49:54,843 - pyskl - INFO - Epoch [47][1100/1281] lr: 1.945e-02, eta: 19:33:30, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.8912, top5_acc: 0.9975, loss_cls: 2.7352, loss: 2.7352 2025-05-03 17:50:50,333 - pyskl - INFO - Epoch [47][1200/1281] lr: 1.943e-02, eta: 19:32:41, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9156, top5_acc: 0.9962, loss_cls: 2.5818, loss: 2.5818 2025-05-03 17:51:35,975 - pyskl - INFO - Saving checkpoint at 47 epochs 2025-05-03 17:52:23,356 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 17:52:23,413 - pyskl - INFO - top1_acc 0.8592 top5_acc 0.9873 2025-05-03 17:52:23,413 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 17:52:23,420 - pyskl - INFO - mean_acc 0.8292 2025-05-03 17:52:23,422 - pyskl - INFO - Epoch(val) [47][533] top1_acc: 0.8592, top5_acc: 0.9873, mean_class_accuracy: 0.8292 2025-05-03 17:53:27,766 - pyskl - INFO - Epoch [48][100/1281] lr: 1.940e-02, eta: 19:29:54, time: 0.643, data_time: 0.181, memory: 9000, top1_acc: 0.9231, top5_acc: 0.9994, loss_cls: 2.5689, loss: 2.5689 2025-05-03 17:54:21,158 - pyskl - INFO - Epoch [48][200/1281] lr: 1.938e-02, eta: 19:29:02, time: 0.534, data_time: 0.000, memory: 9000, top1_acc: 0.9231, top5_acc: 0.9988, loss_cls: 2.5345, loss: 2.5345 2025-05-03 17:55:16,827 - pyskl - INFO - Epoch [48][300/1281] lr: 1.937e-02, eta: 19:28:14, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9225, top5_acc: 0.9994, loss_cls: 2.4763, loss: 2.4763 2025-05-03 17:56:12,265 - pyskl - INFO - Epoch [48][400/1281] lr: 1.935e-02, eta: 19:27:25, time: 0.554, data_time: 0.001, memory: 9000, top1_acc: 0.9213, top5_acc: 1.0000, loss_cls: 2.5877, loss: 2.5877 2025-05-03 17:57:07,924 - pyskl - INFO - Epoch [48][500/1281] lr: 1.933e-02, eta: 19:26:37, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9137, top5_acc: 0.9994, loss_cls: 2.6065, loss: 2.6065 2025-05-03 17:58:03,144 - pyskl - INFO - Epoch [48][600/1281] lr: 1.932e-02, eta: 19:25:48, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9025, top5_acc: 0.9944, loss_cls: 2.6267, loss: 2.6267 2025-05-03 17:58:58,238 - pyskl - INFO - Epoch [48][700/1281] lr: 1.930e-02, eta: 19:24:59, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9081, top5_acc: 0.9962, loss_cls: 2.6427, loss: 2.6427 2025-05-03 17:59:54,370 - pyskl - INFO - Epoch [48][800/1281] lr: 1.928e-02, eta: 19:24:12, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9213, top5_acc: 0.9975, loss_cls: 2.6675, loss: 2.6675 2025-05-03 18:00:49,981 - pyskl - INFO - Epoch [48][900/1281] lr: 1.926e-02, eta: 19:23:23, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9206, top5_acc: 0.9975, loss_cls: 2.5954, loss: 2.5954 2025-05-03 18:01:45,456 - pyskl - INFO - Epoch [48][1000/1281] lr: 1.925e-02, eta: 19:22:35, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9975, loss_cls: 2.5289, loss: 2.5289 2025-05-03 18:02:40,893 - pyskl - INFO - Epoch [48][1100/1281] lr: 1.923e-02, eta: 19:21:46, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9012, top5_acc: 0.9956, loss_cls: 2.6630, loss: 2.6630 2025-05-03 18:03:35,958 - pyskl - INFO - Epoch [48][1200/1281] lr: 1.921e-02, eta: 19:20:57, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9019, top5_acc: 0.9956, loss_cls: 2.7044, loss: 2.7044 2025-05-03 18:04:21,433 - pyskl - INFO - Saving checkpoint at 48 epochs 2025-05-03 18:05:07,964 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 18:05:08,022 - pyskl - INFO - top1_acc 0.8441 top5_acc 0.9879 2025-05-03 18:05:08,022 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 18:05:08,031 - pyskl - INFO - mean_acc 0.7907 2025-05-03 18:05:08,035 - pyskl - INFO - Epoch(val) [48][533] top1_acc: 0.8441, top5_acc: 0.9879, mean_class_accuracy: 0.7907 2025-05-03 18:06:13,108 - pyskl - INFO - Epoch [49][100/1281] lr: 1.918e-02, eta: 19:18:14, time: 0.651, data_time: 0.186, memory: 9000, top1_acc: 0.9325, top5_acc: 0.9981, loss_cls: 2.5045, loss: 2.5045 2025-05-03 18:07:05,090 - pyskl - INFO - Epoch [49][200/1281] lr: 1.916e-02, eta: 19:17:18, time: 0.520, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 1.0000, loss_cls: 2.6232, loss: 2.6232 2025-05-03 18:08:00,058 - pyskl - INFO - Epoch [49][300/1281] lr: 1.915e-02, eta: 19:16:28, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9169, top5_acc: 0.9994, loss_cls: 2.5378, loss: 2.5378 2025-05-03 18:08:55,938 - pyskl - INFO - Epoch [49][400/1281] lr: 1.913e-02, eta: 19:15:41, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9244, top5_acc: 0.9988, loss_cls: 2.5099, loss: 2.5099 2025-05-03 18:09:52,125 - pyskl - INFO - Epoch [49][500/1281] lr: 1.911e-02, eta: 19:14:54, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9200, top5_acc: 0.9994, loss_cls: 2.5588, loss: 2.5588 2025-05-03 18:10:47,974 - pyskl - INFO - Epoch [49][600/1281] lr: 1.909e-02, eta: 19:14:06, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 2.4890, loss: 2.4890 2025-05-03 18:11:45,687 - pyskl - INFO - Epoch [49][700/1281] lr: 1.908e-02, eta: 19:13:22, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9119, top5_acc: 0.9994, loss_cls: 2.4874, loss: 2.4874 2025-05-03 18:12:44,723 - pyskl - INFO - Epoch [49][800/1281] lr: 1.906e-02, eta: 19:12:41, time: 0.590, data_time: 0.000, memory: 9000, top1_acc: 0.9113, top5_acc: 0.9962, loss_cls: 2.6237, loss: 2.6237 2025-05-03 18:13:43,272 - pyskl - INFO - Epoch [49][900/1281] lr: 1.904e-02, eta: 19:11:59, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9206, top5_acc: 0.9969, loss_cls: 2.6450, loss: 2.6450 2025-05-03 18:14:41,217 - pyskl - INFO - Epoch [49][1000/1281] lr: 1.902e-02, eta: 19:11:15, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 2.5635, loss: 2.5635 2025-05-03 18:15:38,594 - pyskl - INFO - Epoch [49][1100/1281] lr: 1.901e-02, eta: 19:10:30, time: 0.574, data_time: 0.000, memory: 9000, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 2.6095, loss: 2.6095 2025-05-03 18:16:36,778 - pyskl - INFO - Epoch [49][1200/1281] lr: 1.899e-02, eta: 19:09:47, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9156, top5_acc: 0.9988, loss_cls: 2.5225, loss: 2.5225 2025-05-03 18:17:22,505 - pyskl - INFO - Saving checkpoint at 49 epochs 2025-05-03 18:18:09,658 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 18:18:09,714 - pyskl - INFO - top1_acc 0.8603 top5_acc 0.9901 2025-05-03 18:18:09,714 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 18:18:09,722 - pyskl - INFO - mean_acc 0.8265 2025-05-03 18:18:09,724 - pyskl - INFO - Epoch(val) [49][533] top1_acc: 0.8603, top5_acc: 0.9901, mean_class_accuracy: 0.8265 2025-05-03 18:19:14,978 - pyskl - INFO - Epoch [50][100/1281] lr: 1.896e-02, eta: 19:07:07, time: 0.652, data_time: 0.184, memory: 9000, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 2.4755, loss: 2.4755 2025-05-03 18:20:08,510 - pyskl - INFO - Epoch [50][200/1281] lr: 1.894e-02, eta: 19:06:14, time: 0.535, data_time: 0.000, memory: 9000, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 2.4931, loss: 2.4931 2025-05-03 18:21:04,183 - pyskl - INFO - Epoch [50][300/1281] lr: 1.892e-02, eta: 19:05:26, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9263, top5_acc: 0.9994, loss_cls: 2.5900, loss: 2.5900 2025-05-03 18:22:00,321 - pyskl - INFO - Epoch [50][400/1281] lr: 1.891e-02, eta: 19:04:38, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9169, top5_acc: 0.9962, loss_cls: 2.6112, loss: 2.6112 2025-05-03 18:22:56,584 - pyskl - INFO - Epoch [50][500/1281] lr: 1.889e-02, eta: 19:03:51, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 2.5541, loss: 2.5541 2025-05-03 18:23:52,845 - pyskl - INFO - Epoch [50][600/1281] lr: 1.887e-02, eta: 19:03:04, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9269, top5_acc: 0.9962, loss_cls: 2.5515, loss: 2.5515 2025-05-03 18:24:48,970 - pyskl - INFO - Epoch [50][700/1281] lr: 1.885e-02, eta: 19:02:17, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9263, top5_acc: 0.9975, loss_cls: 2.4706, loss: 2.4706 2025-05-03 18:25:45,064 - pyskl - INFO - Epoch [50][800/1281] lr: 1.884e-02, eta: 19:01:29, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9981, loss_cls: 2.5441, loss: 2.5441 2025-05-03 18:26:41,378 - pyskl - INFO - Epoch [50][900/1281] lr: 1.882e-02, eta: 19:00:42, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9094, top5_acc: 0.9988, loss_cls: 2.6291, loss: 2.6291 2025-05-03 18:27:37,107 - pyskl - INFO - Epoch [50][1000/1281] lr: 1.880e-02, eta: 18:59:54, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9144, top5_acc: 0.9988, loss_cls: 2.6123, loss: 2.6123 2025-05-03 18:28:33,452 - pyskl - INFO - Epoch [50][1100/1281] lr: 1.878e-02, eta: 18:59:07, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9213, top5_acc: 0.9981, loss_cls: 2.5103, loss: 2.5103 2025-05-03 18:29:29,421 - pyskl - INFO - Epoch [50][1200/1281] lr: 1.876e-02, eta: 18:58:19, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9175, top5_acc: 0.9975, loss_cls: 2.5172, loss: 2.5172 2025-05-03 18:30:15,387 - pyskl - INFO - Saving checkpoint at 50 epochs 2025-05-03 18:31:02,175 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 18:31:02,232 - pyskl - INFO - top1_acc 0.8336 top5_acc 0.9862 2025-05-03 18:31:02,232 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 18:31:02,238 - pyskl - INFO - mean_acc 0.7766 2025-05-03 18:31:02,241 - pyskl - INFO - Epoch(val) [50][533] top1_acc: 0.8336, top5_acc: 0.9862, mean_class_accuracy: 0.7766 2025-05-03 18:32:06,214 - pyskl - INFO - Epoch [51][100/1281] lr: 1.873e-02, eta: 18:55:37, time: 0.640, data_time: 0.182, memory: 9000, top1_acc: 0.9087, top5_acc: 0.9981, loss_cls: 2.6427, loss: 2.6427 2025-05-03 18:32:59,080 - pyskl - INFO - Epoch [51][200/1281] lr: 1.871e-02, eta: 18:54:43, time: 0.529, data_time: 0.000, memory: 9000, top1_acc: 0.9331, top5_acc: 0.9988, loss_cls: 2.5142, loss: 2.5142 2025-05-03 18:33:54,872 - pyskl - INFO - Epoch [51][300/1281] lr: 1.870e-02, eta: 18:53:55, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9263, top5_acc: 0.9994, loss_cls: 2.4733, loss: 2.4733 2025-05-03 18:34:51,354 - pyskl - INFO - Epoch [51][400/1281] lr: 1.868e-02, eta: 18:53:09, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 2.5158, loss: 2.5158 2025-05-03 18:35:48,325 - pyskl - INFO - Epoch [51][500/1281] lr: 1.866e-02, eta: 18:52:23, time: 0.570, data_time: 0.000, memory: 9000, top1_acc: 0.9225, top5_acc: 0.9981, loss_cls: 2.5521, loss: 2.5521 2025-05-03 18:36:46,823 - pyskl - INFO - Epoch [51][600/1281] lr: 1.864e-02, eta: 18:51:40, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 2.4994, loss: 2.4994 2025-05-03 18:37:46,151 - pyskl - INFO - Epoch [51][700/1281] lr: 1.863e-02, eta: 18:50:58, time: 0.593, data_time: 0.000, memory: 9000, top1_acc: 0.9169, top5_acc: 0.9975, loss_cls: 2.5143, loss: 2.5143 2025-05-03 18:38:44,152 - pyskl - INFO - Epoch [51][800/1281] lr: 1.861e-02, eta: 18:50:14, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 2.5529, loss: 2.5529 2025-05-03 18:39:43,003 - pyskl - INFO - Epoch [51][900/1281] lr: 1.859e-02, eta: 18:49:32, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.9156, top5_acc: 0.9956, loss_cls: 2.5413, loss: 2.5413 2025-05-03 18:40:42,008 - pyskl - INFO - Epoch [51][1000/1281] lr: 1.857e-02, eta: 18:48:50, time: 0.590, data_time: 0.000, memory: 9000, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 2.5999, loss: 2.5999 2025-05-03 18:41:40,718 - pyskl - INFO - Epoch [51][1100/1281] lr: 1.855e-02, eta: 18:48:07, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9244, top5_acc: 0.9988, loss_cls: 2.4673, loss: 2.4673 2025-05-03 18:42:37,438 - pyskl - INFO - Epoch [51][1200/1281] lr: 1.854e-02, eta: 18:47:21, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.8938, top5_acc: 0.9969, loss_cls: 2.6312, loss: 2.6312 2025-05-03 18:43:23,681 - pyskl - INFO - Saving checkpoint at 51 epochs 2025-05-03 18:44:10,862 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 18:44:10,919 - pyskl - INFO - top1_acc 0.8332 top5_acc 0.9880 2025-05-03 18:44:10,919 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 18:44:10,927 - pyskl - INFO - mean_acc 0.8204 2025-05-03 18:44:10,930 - pyskl - INFO - Epoch(val) [51][533] top1_acc: 0.8332, top5_acc: 0.9880, mean_class_accuracy: 0.8204 2025-05-03 18:45:15,227 - pyskl - INFO - Epoch [52][100/1281] lr: 1.850e-02, eta: 18:44:42, time: 0.643, data_time: 0.181, memory: 9000, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 2.5118, loss: 2.5118 2025-05-03 18:46:08,666 - pyskl - INFO - Epoch [52][200/1281] lr: 1.849e-02, eta: 18:43:49, time: 0.534, data_time: 0.000, memory: 9000, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 2.4501, loss: 2.4501 2025-05-03 18:47:03,532 - pyskl - INFO - Epoch [52][300/1281] lr: 1.847e-02, eta: 18:42:59, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9337, top5_acc: 0.9988, loss_cls: 2.4327, loss: 2.4327 2025-05-03 18:47:59,437 - pyskl - INFO - Epoch [52][400/1281] lr: 1.845e-02, eta: 18:42:11, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 2.4239, loss: 2.4239 2025-05-03 18:48:55,270 - pyskl - INFO - Epoch [52][500/1281] lr: 1.843e-02, eta: 18:41:22, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 2.5984, loss: 2.5984 2025-05-03 18:49:51,293 - pyskl - INFO - Epoch [52][600/1281] lr: 1.841e-02, eta: 18:40:34, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9237, top5_acc: 0.9994, loss_cls: 2.6007, loss: 2.6007 2025-05-03 18:50:47,225 - pyskl - INFO - Epoch [52][700/1281] lr: 1.840e-02, eta: 18:39:46, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9225, top5_acc: 0.9988, loss_cls: 2.5933, loss: 2.5933 2025-05-03 18:51:44,132 - pyskl - INFO - Epoch [52][800/1281] lr: 1.838e-02, eta: 18:39:00, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9950, loss_cls: 2.5902, loss: 2.5902 2025-05-03 18:52:39,789 - pyskl - INFO - Epoch [52][900/1281] lr: 1.836e-02, eta: 18:38:11, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 2.5178, loss: 2.5178 2025-05-03 18:53:36,330 - pyskl - INFO - Epoch [52][1000/1281] lr: 1.834e-02, eta: 18:37:24, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9069, top5_acc: 0.9981, loss_cls: 2.6077, loss: 2.6077 2025-05-03 18:54:31,763 - pyskl - INFO - Epoch [52][1100/1281] lr: 1.832e-02, eta: 18:36:35, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 2.5441, loss: 2.5441 2025-05-03 18:55:27,482 - pyskl - INFO - Epoch [52][1200/1281] lr: 1.831e-02, eta: 18:35:46, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 2.5803, loss: 2.5803 2025-05-03 18:56:12,727 - pyskl - INFO - Saving checkpoint at 52 epochs 2025-05-03 18:56:59,208 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 18:56:59,270 - pyskl - INFO - top1_acc 0.8622 top5_acc 0.9904 2025-05-03 18:56:59,270 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 18:56:59,291 - pyskl - INFO - mean_acc 0.8219 2025-05-03 18:56:59,296 - pyskl - INFO - Epoch(val) [52][533] top1_acc: 0.8622, top5_acc: 0.9904, mean_class_accuracy: 0.8219 2025-05-03 18:58:04,630 - pyskl - INFO - Epoch [53][100/1281] lr: 1.827e-02, eta: 18:33:11, time: 0.653, data_time: 0.187, memory: 9000, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 2.4797, loss: 2.4797 2025-05-03 18:58:57,342 - pyskl - INFO - Epoch [53][200/1281] lr: 1.826e-02, eta: 18:32:17, time: 0.527, data_time: 0.000, memory: 9000, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 2.5276, loss: 2.5276 2025-05-03 18:59:51,986 - pyskl - INFO - Epoch [53][300/1281] lr: 1.824e-02, eta: 18:31:26, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 2.4996, loss: 2.4996 2025-05-03 19:00:47,764 - pyskl - INFO - Epoch [53][400/1281] lr: 1.822e-02, eta: 18:30:38, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 2.4628, loss: 2.4628 2025-05-03 19:01:43,931 - pyskl - INFO - Epoch [53][500/1281] lr: 1.820e-02, eta: 18:29:50, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9325, top5_acc: 0.9969, loss_cls: 2.4476, loss: 2.4476 2025-05-03 19:02:39,953 - pyskl - INFO - Epoch [53][600/1281] lr: 1.818e-02, eta: 18:29:02, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9156, top5_acc: 0.9994, loss_cls: 2.5562, loss: 2.5562 2025-05-03 19:03:35,415 - pyskl - INFO - Epoch [53][700/1281] lr: 1.816e-02, eta: 18:28:12, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9319, top5_acc: 1.0000, loss_cls: 2.4592, loss: 2.4592 2025-05-03 19:04:31,858 - pyskl - INFO - Epoch [53][800/1281] lr: 1.815e-02, eta: 18:27:25, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 2.4510, loss: 2.4510 2025-05-03 19:05:27,918 - pyskl - INFO - Epoch [53][900/1281] lr: 1.813e-02, eta: 18:26:37, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9137, top5_acc: 0.9956, loss_cls: 2.5170, loss: 2.5170 2025-05-03 19:06:24,105 - pyskl - INFO - Epoch [53][1000/1281] lr: 1.811e-02, eta: 18:25:49, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.8962, top5_acc: 0.9950, loss_cls: 2.7368, loss: 2.7368 2025-05-03 19:07:20,173 - pyskl - INFO - Epoch [53][1100/1281] lr: 1.809e-02, eta: 18:25:01, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9213, top5_acc: 0.9981, loss_cls: 2.4702, loss: 2.4702 2025-05-03 19:08:15,267 - pyskl - INFO - Epoch [53][1200/1281] lr: 1.807e-02, eta: 18:24:11, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9094, top5_acc: 0.9962, loss_cls: 2.6075, loss: 2.6075 2025-05-03 19:09:01,031 - pyskl - INFO - Saving checkpoint at 53 epochs 2025-05-03 19:09:48,060 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 19:09:48,116 - pyskl - INFO - top1_acc 0.8569 top5_acc 0.9891 2025-05-03 19:09:48,116 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 19:09:48,124 - pyskl - INFO - mean_acc 0.8139 2025-05-03 19:09:48,127 - pyskl - INFO - Epoch(val) [53][533] top1_acc: 0.8569, top5_acc: 0.9891, mean_class_accuracy: 0.8139 2025-05-03 19:10:52,824 - pyskl - INFO - Epoch [54][100/1281] lr: 1.804e-02, eta: 18:21:37, time: 0.647, data_time: 0.181, memory: 9000, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 2.5777, loss: 2.5777 2025-05-03 19:11:48,182 - pyskl - INFO - Epoch [54][200/1281] lr: 1.802e-02, eta: 18:20:47, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9256, top5_acc: 0.9969, loss_cls: 2.5839, loss: 2.5839 2025-05-03 19:12:45,070 - pyskl - INFO - Epoch [54][300/1281] lr: 1.800e-02, eta: 18:20:01, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 2.4051, loss: 2.4051 2025-05-03 19:13:42,624 - pyskl - INFO - Epoch [54][400/1281] lr: 1.798e-02, eta: 18:19:15, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9369, top5_acc: 1.0000, loss_cls: 2.4160, loss: 2.4160 2025-05-03 19:14:40,061 - pyskl - INFO - Epoch [54][500/1281] lr: 1.797e-02, eta: 18:18:29, time: 0.574, data_time: 0.000, memory: 9000, top1_acc: 0.9275, top5_acc: 0.9988, loss_cls: 2.4529, loss: 2.4529 2025-05-03 19:15:37,997 - pyskl - INFO - Epoch [54][600/1281] lr: 1.795e-02, eta: 18:17:45, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9956, loss_cls: 2.5178, loss: 2.5178 2025-05-03 19:16:34,448 - pyskl - INFO - Epoch [54][700/1281] lr: 1.793e-02, eta: 18:16:57, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9137, top5_acc: 0.9988, loss_cls: 2.5604, loss: 2.5604 2025-05-03 19:17:31,255 - pyskl - INFO - Epoch [54][800/1281] lr: 1.791e-02, eta: 18:16:10, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9219, top5_acc: 0.9994, loss_cls: 2.4860, loss: 2.4860 2025-05-03 19:18:26,962 - pyskl - INFO - Epoch [54][900/1281] lr: 1.789e-02, eta: 18:15:21, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9981, loss_cls: 2.5767, loss: 2.5767 2025-05-03 19:19:22,849 - pyskl - INFO - Epoch [54][1000/1281] lr: 1.787e-02, eta: 18:14:33, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9200, top5_acc: 0.9975, loss_cls: 2.6173, loss: 2.6173 2025-05-03 19:20:18,851 - pyskl - INFO - Epoch [54][1100/1281] lr: 1.786e-02, eta: 18:13:44, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 2.4980, loss: 2.4980 2025-05-03 19:21:13,624 - pyskl - INFO - Epoch [54][1200/1281] lr: 1.784e-02, eta: 18:12:54, time: 0.548, data_time: 0.000, memory: 9000, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 2.4732, loss: 2.4732 2025-05-03 19:21:58,694 - pyskl - INFO - Saving checkpoint at 54 epochs 2025-05-03 19:22:45,325 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 19:22:45,382 - pyskl - INFO - top1_acc 0.8795 top5_acc 0.9923 2025-05-03 19:22:45,382 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 19:22:45,390 - pyskl - INFO - mean_acc 0.8552 2025-05-03 19:22:45,448 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_46.pth was removed 2025-05-03 19:22:47,246 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_54.pth. 2025-05-03 19:22:47,247 - pyskl - INFO - Best top1_acc is 0.8795 at 54 epoch. 2025-05-03 19:22:47,250 - pyskl - INFO - Epoch(val) [54][533] top1_acc: 0.8795, top5_acc: 0.9923, mean_class_accuracy: 0.8552 2025-05-03 19:23:50,781 - pyskl - INFO - Epoch [55][100/1281] lr: 1.780e-02, eta: 18:10:19, time: 0.635, data_time: 0.183, memory: 9000, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 2.3862, loss: 2.3862 2025-05-03 19:24:43,594 - pyskl - INFO - Epoch [55][200/1281] lr: 1.779e-02, eta: 18:09:25, time: 0.528, data_time: 0.000, memory: 9000, top1_acc: 0.9413, top5_acc: 1.0000, loss_cls: 2.3691, loss: 2.3691 2025-05-03 19:25:38,366 - pyskl - INFO - Epoch [55][300/1281] lr: 1.777e-02, eta: 18:08:34, time: 0.548, data_time: 0.000, memory: 9000, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 2.4024, loss: 2.4024 2025-05-03 19:26:33,320 - pyskl - INFO - Epoch [55][400/1281] lr: 1.775e-02, eta: 18:07:44, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 2.3469, loss: 2.3469 2025-05-03 19:27:28,660 - pyskl - INFO - Epoch [55][500/1281] lr: 1.773e-02, eta: 18:06:54, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 2.4135, loss: 2.4135 2025-05-03 19:28:24,842 - pyskl - INFO - Epoch [55][600/1281] lr: 1.771e-02, eta: 18:06:06, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9250, top5_acc: 0.9969, loss_cls: 2.5321, loss: 2.5321 2025-05-03 19:29:20,155 - pyskl - INFO - Epoch [55][700/1281] lr: 1.769e-02, eta: 18:05:17, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9306, top5_acc: 0.9975, loss_cls: 2.5338, loss: 2.5338 2025-05-03 19:30:16,247 - pyskl - INFO - Epoch [55][800/1281] lr: 1.767e-02, eta: 18:04:28, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9175, top5_acc: 0.9988, loss_cls: 2.4853, loss: 2.4853 2025-05-03 19:31:11,429 - pyskl - INFO - Epoch [55][900/1281] lr: 1.766e-02, eta: 18:03:38, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 2.4904, loss: 2.4904 2025-05-03 19:32:07,000 - pyskl - INFO - Epoch [55][1000/1281] lr: 1.764e-02, eta: 18:02:49, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 2.5561, loss: 2.5561 2025-05-03 19:33:02,435 - pyskl - INFO - Epoch [55][1100/1281] lr: 1.762e-02, eta: 18:02:00, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9087, top5_acc: 0.9981, loss_cls: 2.5768, loss: 2.5768 2025-05-03 19:34:00,081 - pyskl - INFO - Epoch [55][1200/1281] lr: 1.760e-02, eta: 18:01:14, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 2.5629, loss: 2.5629 2025-05-03 19:34:47,678 - pyskl - INFO - Saving checkpoint at 55 epochs 2025-05-03 19:35:36,334 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 19:35:36,393 - pyskl - INFO - top1_acc 0.8204 top5_acc 0.9745 2025-05-03 19:35:36,393 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 19:35:36,401 - pyskl - INFO - mean_acc 0.7693 2025-05-03 19:35:36,403 - pyskl - INFO - Epoch(val) [55][533] top1_acc: 0.8204, top5_acc: 0.9745, mean_class_accuracy: 0.7693 2025-05-03 19:36:43,019 - pyskl - INFO - Epoch [56][100/1281] lr: 1.757e-02, eta: 17:58:46, time: 0.666, data_time: 0.177, memory: 9000, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 2.6036, loss: 2.6036 2025-05-03 19:37:38,780 - pyskl - INFO - Epoch [56][200/1281] lr: 1.755e-02, eta: 17:57:57, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 2.4245, loss: 2.4245 2025-05-03 19:38:36,653 - pyskl - INFO - Epoch [56][300/1281] lr: 1.753e-02, eta: 17:57:12, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 2.3842, loss: 2.3842 2025-05-03 19:39:34,411 - pyskl - INFO - Epoch [56][400/1281] lr: 1.751e-02, eta: 17:56:27, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9306, top5_acc: 0.9988, loss_cls: 2.4495, loss: 2.4495 2025-05-03 19:40:32,919 - pyskl - INFO - Epoch [56][500/1281] lr: 1.749e-02, eta: 17:55:42, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9225, top5_acc: 0.9994, loss_cls: 2.4913, loss: 2.4913 2025-05-03 19:41:30,918 - pyskl - INFO - Epoch [56][600/1281] lr: 1.747e-02, eta: 17:54:57, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 2.4226, loss: 2.4226 2025-05-03 19:42:28,217 - pyskl - INFO - Epoch [56][700/1281] lr: 1.745e-02, eta: 17:54:11, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 2.5478, loss: 2.5478 2025-05-03 19:43:24,301 - pyskl - INFO - Epoch [56][800/1281] lr: 1.743e-02, eta: 17:53:22, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9181, top5_acc: 0.9981, loss_cls: 2.5147, loss: 2.5147 2025-05-03 19:44:20,616 - pyskl - INFO - Epoch [56][900/1281] lr: 1.742e-02, eta: 17:52:34, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9069, top5_acc: 0.9969, loss_cls: 2.5982, loss: 2.5982 2025-05-03 19:45:17,033 - pyskl - INFO - Epoch [56][1000/1281] lr: 1.740e-02, eta: 17:51:46, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9044, top5_acc: 0.9988, loss_cls: 2.6577, loss: 2.6577 2025-05-03 19:46:12,838 - pyskl - INFO - Epoch [56][1100/1281] lr: 1.738e-02, eta: 17:50:57, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9206, top5_acc: 0.9988, loss_cls: 2.6090, loss: 2.6090 2025-05-03 19:47:09,174 - pyskl - INFO - Epoch [56][1200/1281] lr: 1.736e-02, eta: 17:50:09, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 2.5297, loss: 2.5297 2025-05-03 19:47:54,451 - pyskl - INFO - Saving checkpoint at 56 epochs 2025-05-03 19:48:41,591 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 19:48:41,647 - pyskl - INFO - top1_acc 0.7547 top5_acc 0.9495 2025-05-03 19:48:41,647 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 19:48:41,655 - pyskl - INFO - mean_acc 0.6523 2025-05-03 19:48:41,658 - pyskl - INFO - Epoch(val) [56][533] top1_acc: 0.7547, top5_acc: 0.9495, mean_class_accuracy: 0.6523 2025-05-03 19:49:46,326 - pyskl - INFO - Epoch [57][100/1281] lr: 1.733e-02, eta: 17:47:39, time: 0.647, data_time: 0.180, memory: 9000, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 2.4055, loss: 2.4055 2025-05-03 19:50:40,049 - pyskl - INFO - Epoch [57][200/1281] lr: 1.731e-02, eta: 17:46:47, time: 0.537, data_time: 0.000, memory: 9000, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 2.4264, loss: 2.4264 2025-05-03 19:51:34,582 - pyskl - INFO - Epoch [57][300/1281] lr: 1.729e-02, eta: 17:45:56, time: 0.545, data_time: 0.000, memory: 9000, top1_acc: 0.9269, top5_acc: 1.0000, loss_cls: 2.5406, loss: 2.5406 2025-05-03 19:52:30,142 - pyskl - INFO - Epoch [57][400/1281] lr: 1.727e-02, eta: 17:45:06, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9256, top5_acc: 0.9994, loss_cls: 2.4217, loss: 2.4217 2025-05-03 19:53:24,843 - pyskl - INFO - Epoch [57][500/1281] lr: 1.725e-02, eta: 17:44:15, time: 0.547, data_time: 0.000, memory: 9000, top1_acc: 0.9263, top5_acc: 0.9994, loss_cls: 2.4558, loss: 2.4558 2025-05-03 19:54:19,970 - pyskl - INFO - Epoch [57][600/1281] lr: 1.723e-02, eta: 17:43:25, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 2.5625, loss: 2.5625 2025-05-03 19:55:15,567 - pyskl - INFO - Epoch [57][700/1281] lr: 1.721e-02, eta: 17:42:36, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 2.4128, loss: 2.4128 2025-05-03 19:56:10,729 - pyskl - INFO - Epoch [57][800/1281] lr: 1.719e-02, eta: 17:41:46, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9294, top5_acc: 0.9962, loss_cls: 2.4995, loss: 2.4995 2025-05-03 19:57:05,995 - pyskl - INFO - Epoch [57][900/1281] lr: 1.717e-02, eta: 17:40:56, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 2.3912, loss: 2.3912 2025-05-03 19:58:01,559 - pyskl - INFO - Epoch [57][1000/1281] lr: 1.716e-02, eta: 17:40:06, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9075, top5_acc: 0.9981, loss_cls: 2.5843, loss: 2.5843 2025-05-03 19:58:57,377 - pyskl - INFO - Epoch [57][1100/1281] lr: 1.714e-02, eta: 17:39:17, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 2.3870, loss: 2.3870 2025-05-03 19:59:53,219 - pyskl - INFO - Epoch [57][1200/1281] lr: 1.712e-02, eta: 17:38:28, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9213, top5_acc: 0.9988, loss_cls: 2.4317, loss: 2.4317 2025-05-03 20:00:38,648 - pyskl - INFO - Saving checkpoint at 57 epochs 2025-05-03 20:01:26,004 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 20:01:26,061 - pyskl - INFO - top1_acc 0.8573 top5_acc 0.9887 2025-05-03 20:01:26,061 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 20:01:26,070 - pyskl - INFO - mean_acc 0.8016 2025-05-03 20:01:26,073 - pyskl - INFO - Epoch(val) [57][533] top1_acc: 0.8573, top5_acc: 0.9887, mean_class_accuracy: 0.8016 2025-05-03 20:02:30,768 - pyskl - INFO - Epoch [58][100/1281] lr: 1.708e-02, eta: 17:36:00, time: 0.647, data_time: 0.184, memory: 9000, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 2.3869, loss: 2.3869 2025-05-03 20:03:23,077 - pyskl - INFO - Epoch [58][200/1281] lr: 1.706e-02, eta: 17:35:05, time: 0.523, data_time: 0.000, memory: 9000, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 2.2820, loss: 2.2820 2025-05-03 20:04:16,942 - pyskl - INFO - Epoch [58][300/1281] lr: 1.704e-02, eta: 17:34:13, time: 0.539, data_time: 0.000, memory: 9000, top1_acc: 0.9250, top5_acc: 1.0000, loss_cls: 2.5109, loss: 2.5109 2025-05-03 20:05:12,576 - pyskl - INFO - Epoch [58][400/1281] lr: 1.703e-02, eta: 17:33:24, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 2.4305, loss: 2.4305 2025-05-03 20:06:08,788 - pyskl - INFO - Epoch [58][500/1281] lr: 1.701e-02, eta: 17:32:35, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 2.3846, loss: 2.3846 2025-05-03 20:07:04,624 - pyskl - INFO - Epoch [58][600/1281] lr: 1.699e-02, eta: 17:31:46, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 2.4089, loss: 2.4089 2025-05-03 20:08:00,138 - pyskl - INFO - Epoch [58][700/1281] lr: 1.697e-02, eta: 17:30:57, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 2.4009, loss: 2.4009 2025-05-03 20:08:55,723 - pyskl - INFO - Epoch [58][800/1281] lr: 1.695e-02, eta: 17:30:07, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9213, top5_acc: 0.9994, loss_cls: 2.3590, loss: 2.3590 2025-05-03 20:09:51,497 - pyskl - INFO - Epoch [58][900/1281] lr: 1.693e-02, eta: 17:29:18, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9988, loss_cls: 2.6243, loss: 2.6243 2025-05-03 20:10:48,911 - pyskl - INFO - Epoch [58][1000/1281] lr: 1.691e-02, eta: 17:28:32, time: 0.574, data_time: 0.000, memory: 9000, top1_acc: 0.9131, top5_acc: 0.9981, loss_cls: 2.5444, loss: 2.5444 2025-05-03 20:11:47,387 - pyskl - INFO - Epoch [58][1100/1281] lr: 1.689e-02, eta: 17:27:47, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9269, top5_acc: 0.9969, loss_cls: 2.4890, loss: 2.4890 2025-05-03 20:12:44,668 - pyskl - INFO - Epoch [58][1200/1281] lr: 1.687e-02, eta: 17:27:00, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9956, loss_cls: 2.5386, loss: 2.5386 2025-05-03 20:13:33,177 - pyskl - INFO - Saving checkpoint at 58 epochs 2025-05-03 20:14:21,719 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 20:14:21,777 - pyskl - INFO - top1_acc 0.8471 top5_acc 0.9862 2025-05-03 20:14:21,777 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 20:14:21,785 - pyskl - INFO - mean_acc 0.8235 2025-05-03 20:14:21,788 - pyskl - INFO - Epoch(val) [58][533] top1_acc: 0.8471, top5_acc: 0.9862, mean_class_accuracy: 0.8235 2025-05-03 20:15:26,781 - pyskl - INFO - Epoch [59][100/1281] lr: 1.684e-02, eta: 17:24:34, time: 0.650, data_time: 0.182, memory: 9000, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 2.4727, loss: 2.4727 2025-05-03 20:16:20,075 - pyskl - INFO - Epoch [59][200/1281] lr: 1.682e-02, eta: 17:23:40, time: 0.533, data_time: 0.000, memory: 9000, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 2.3591, loss: 2.3591 2025-05-03 20:17:15,397 - pyskl - INFO - Epoch [59][300/1281] lr: 1.680e-02, eta: 17:22:51, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9237, top5_acc: 0.9994, loss_cls: 2.4337, loss: 2.4337 2025-05-03 20:18:11,295 - pyskl - INFO - Epoch [59][400/1281] lr: 1.678e-02, eta: 17:22:01, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 2.4510, loss: 2.4510 2025-05-03 20:19:07,250 - pyskl - INFO - Epoch [59][500/1281] lr: 1.676e-02, eta: 17:21:13, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 2.2719, loss: 2.2719 2025-05-03 20:20:03,473 - pyskl - INFO - Epoch [59][600/1281] lr: 1.674e-02, eta: 17:20:24, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9306, top5_acc: 0.9988, loss_cls: 2.4031, loss: 2.4031 2025-05-03 20:20:59,021 - pyskl - INFO - Epoch [59][700/1281] lr: 1.672e-02, eta: 17:19:34, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 2.4808, loss: 2.4808 2025-05-03 20:21:54,142 - pyskl - INFO - Epoch [59][800/1281] lr: 1.670e-02, eta: 17:18:44, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 2.4054, loss: 2.4054 2025-05-03 20:22:50,094 - pyskl - INFO - Epoch [59][900/1281] lr: 1.668e-02, eta: 17:17:55, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9287, top5_acc: 0.9994, loss_cls: 2.3550, loss: 2.3550 2025-05-03 20:23:45,784 - pyskl - INFO - Epoch [59][1000/1281] lr: 1.667e-02, eta: 17:17:06, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 2.4600, loss: 2.4600 2025-05-03 20:24:41,784 - pyskl - INFO - Epoch [59][1100/1281] lr: 1.665e-02, eta: 17:16:17, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 2.3783, loss: 2.3783 2025-05-03 20:25:37,245 - pyskl - INFO - Epoch [59][1200/1281] lr: 1.663e-02, eta: 17:15:27, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 2.4197, loss: 2.4197 2025-05-03 20:26:22,442 - pyskl - INFO - Saving checkpoint at 59 epochs 2025-05-03 20:27:09,221 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 20:27:09,277 - pyskl - INFO - top1_acc 0.8447 top5_acc 0.9813 2025-05-03 20:27:09,277 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 20:27:09,284 - pyskl - INFO - mean_acc 0.7939 2025-05-03 20:27:09,287 - pyskl - INFO - Epoch(val) [59][533] top1_acc: 0.8447, top5_acc: 0.9813, mean_class_accuracy: 0.7939 2025-05-03 20:28:14,242 - pyskl - INFO - Epoch [60][100/1281] lr: 1.659e-02, eta: 17:13:02, time: 0.650, data_time: 0.181, memory: 9000, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 2.5019, loss: 2.5019 2025-05-03 20:29:07,438 - pyskl - INFO - Epoch [60][200/1281] lr: 1.657e-02, eta: 17:12:09, time: 0.532, data_time: 0.000, memory: 9000, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 2.4839, loss: 2.4839 2025-05-03 20:30:02,943 - pyskl - INFO - Epoch [60][300/1281] lr: 1.655e-02, eta: 17:11:19, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9431, top5_acc: 1.0000, loss_cls: 2.3349, loss: 2.3349 2025-05-03 20:30:58,350 - pyskl - INFO - Epoch [60][400/1281] lr: 1.653e-02, eta: 17:10:29, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 2.3971, loss: 2.3971 2025-05-03 20:31:54,034 - pyskl - INFO - Epoch [60][500/1281] lr: 1.651e-02, eta: 17:09:40, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9356, top5_acc: 1.0000, loss_cls: 2.4040, loss: 2.4040 2025-05-03 20:32:50,375 - pyskl - INFO - Epoch [60][600/1281] lr: 1.650e-02, eta: 17:08:51, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 2.4428, loss: 2.4428 2025-05-03 20:33:47,942 - pyskl - INFO - Epoch [60][700/1281] lr: 1.648e-02, eta: 17:08:04, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 2.3571, loss: 2.3571 2025-05-03 20:34:45,716 - pyskl - INFO - Epoch [60][800/1281] lr: 1.646e-02, eta: 17:07:18, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9163, top5_acc: 0.9994, loss_cls: 2.4710, loss: 2.4710 2025-05-03 20:35:44,487 - pyskl - INFO - Epoch [60][900/1281] lr: 1.644e-02, eta: 17:06:33, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.9325, top5_acc: 0.9994, loss_cls: 2.3788, loss: 2.3788 2025-05-03 20:36:42,354 - pyskl - INFO - Epoch [60][1000/1281] lr: 1.642e-02, eta: 17:05:47, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9237, top5_acc: 0.9969, loss_cls: 2.4700, loss: 2.4700 2025-05-03 20:37:40,041 - pyskl - INFO - Epoch [60][1100/1281] lr: 1.640e-02, eta: 17:05:00, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9331, top5_acc: 0.9988, loss_cls: 2.4287, loss: 2.4287 2025-05-03 20:38:38,769 - pyskl - INFO - Epoch [60][1200/1281] lr: 1.638e-02, eta: 17:04:15, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9313, top5_acc: 0.9981, loss_cls: 2.3869, loss: 2.3869 2025-05-03 20:39:26,843 - pyskl - INFO - Saving checkpoint at 60 epochs 2025-05-03 20:40:16,334 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 20:40:16,389 - pyskl - INFO - top1_acc 0.8602 top5_acc 0.9860 2025-05-03 20:40:16,389 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 20:40:16,396 - pyskl - INFO - mean_acc 0.8156 2025-05-03 20:40:16,399 - pyskl - INFO - Epoch(val) [60][533] top1_acc: 0.8602, top5_acc: 0.9860, mean_class_accuracy: 0.8156 2025-05-03 20:41:23,076 - pyskl - INFO - Epoch [61][100/1281] lr: 1.634e-02, eta: 17:01:54, time: 0.667, data_time: 0.182, memory: 9000, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 2.3098, loss: 2.3098 2025-05-03 20:42:18,100 - pyskl - INFO - Epoch [61][200/1281] lr: 1.632e-02, eta: 17:01:04, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9363, top5_acc: 1.0000, loss_cls: 2.3713, loss: 2.3713 2025-05-03 20:43:14,027 - pyskl - INFO - Epoch [61][300/1281] lr: 1.630e-02, eta: 17:00:15, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 2.3751, loss: 2.3751 2025-05-03 20:44:09,491 - pyskl - INFO - Epoch [61][400/1281] lr: 1.629e-02, eta: 16:59:25, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 2.3714, loss: 2.3714 2025-05-03 20:45:04,944 - pyskl - INFO - Epoch [61][500/1281] lr: 1.627e-02, eta: 16:58:35, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 2.3507, loss: 2.3507 2025-05-03 20:46:00,175 - pyskl - INFO - Epoch [61][600/1281] lr: 1.625e-02, eta: 16:57:44, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9187, top5_acc: 0.9969, loss_cls: 2.5256, loss: 2.5256 2025-05-03 20:46:56,514 - pyskl - INFO - Epoch [61][700/1281] lr: 1.623e-02, eta: 16:56:56, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 2.5993, loss: 2.5993 2025-05-03 20:47:51,950 - pyskl - INFO - Epoch [61][800/1281] lr: 1.621e-02, eta: 16:56:06, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9206, top5_acc: 0.9969, loss_cls: 2.4873, loss: 2.4873 2025-05-03 20:48:47,401 - pyskl - INFO - Epoch [61][900/1281] lr: 1.619e-02, eta: 16:55:16, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 2.3846, loss: 2.3846 2025-05-03 20:49:42,894 - pyskl - INFO - Epoch [61][1000/1281] lr: 1.617e-02, eta: 16:54:26, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9263, top5_acc: 0.9988, loss_cls: 2.3935, loss: 2.3935 2025-05-03 20:50:38,760 - pyskl - INFO - Epoch [61][1100/1281] lr: 1.615e-02, eta: 16:53:36, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9331, top5_acc: 0.9988, loss_cls: 2.4166, loss: 2.4166 2025-05-03 20:51:34,350 - pyskl - INFO - Epoch [61][1200/1281] lr: 1.613e-02, eta: 16:52:46, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9331, top5_acc: 0.9994, loss_cls: 2.4374, loss: 2.4374 2025-05-03 20:52:19,857 - pyskl - INFO - Saving checkpoint at 61 epochs 2025-05-03 20:53:07,038 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 20:53:07,101 - pyskl - INFO - top1_acc 0.8718 top5_acc 0.9924 2025-05-03 20:53:07,101 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 20:53:07,108 - pyskl - INFO - mean_acc 0.8312 2025-05-03 20:53:07,111 - pyskl - INFO - Epoch(val) [61][533] top1_acc: 0.8718, top5_acc: 0.9924, mean_class_accuracy: 0.8312 2025-05-03 20:54:12,086 - pyskl - INFO - Epoch [62][100/1281] lr: 1.609e-02, eta: 16:50:24, time: 0.650, data_time: 0.185, memory: 9000, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 2.2047, loss: 2.2047 2025-05-03 20:55:04,818 - pyskl - INFO - Epoch [62][200/1281] lr: 1.607e-02, eta: 16:49:30, time: 0.527, data_time: 0.000, memory: 9000, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 2.3944, loss: 2.3944 2025-05-03 20:55:59,462 - pyskl - INFO - Epoch [62][300/1281] lr: 1.605e-02, eta: 16:48:39, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 2.3186, loss: 2.3186 2025-05-03 20:56:55,091 - pyskl - INFO - Epoch [62][400/1281] lr: 1.603e-02, eta: 16:47:49, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 2.3059, loss: 2.3059 2025-05-03 20:57:50,961 - pyskl - INFO - Epoch [62][500/1281] lr: 1.602e-02, eta: 16:47:00, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 2.3202, loss: 2.3202 2025-05-03 20:58:45,901 - pyskl - INFO - Epoch [62][600/1281] lr: 1.600e-02, eta: 16:46:09, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 2.3946, loss: 2.3946 2025-05-03 20:59:40,812 - pyskl - INFO - Epoch [62][700/1281] lr: 1.598e-02, eta: 16:45:18, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9419, top5_acc: 0.9994, loss_cls: 2.3777, loss: 2.3777 2025-05-03 21:00:36,567 - pyskl - INFO - Epoch [62][800/1281] lr: 1.596e-02, eta: 16:44:29, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 2.3787, loss: 2.3787 2025-05-03 21:01:32,458 - pyskl - INFO - Epoch [62][900/1281] lr: 1.594e-02, eta: 16:43:39, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9325, top5_acc: 0.9981, loss_cls: 2.4336, loss: 2.4336 2025-05-03 21:02:28,958 - pyskl - INFO - Epoch [62][1000/1281] lr: 1.592e-02, eta: 16:42:51, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9200, top5_acc: 0.9975, loss_cls: 2.5152, loss: 2.5152 2025-05-03 21:03:24,719 - pyskl - INFO - Epoch [62][1100/1281] lr: 1.590e-02, eta: 16:42:01, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 2.4797, loss: 2.4797 2025-05-03 21:04:21,130 - pyskl - INFO - Epoch [62][1200/1281] lr: 1.588e-02, eta: 16:41:12, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 2.4050, loss: 2.4050 2025-05-03 21:05:06,878 - pyskl - INFO - Saving checkpoint at 62 epochs 2025-05-03 21:05:54,210 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 21:05:54,266 - pyskl - INFO - top1_acc 0.8520 top5_acc 0.9894 2025-05-03 21:05:54,267 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 21:05:54,273 - pyskl - INFO - mean_acc 0.8055 2025-05-03 21:05:54,275 - pyskl - INFO - Epoch(val) [62][533] top1_acc: 0.8520, top5_acc: 0.9894, mean_class_accuracy: 0.8055 2025-05-03 21:06:58,872 - pyskl - INFO - Epoch [63][100/1281] lr: 1.584e-02, eta: 16:38:51, time: 0.646, data_time: 0.181, memory: 9000, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 2.4098, loss: 2.4098 2025-05-03 21:07:52,173 - pyskl - INFO - Epoch [63][200/1281] lr: 1.582e-02, eta: 16:37:58, time: 0.533, data_time: 0.000, memory: 9000, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 2.3549, loss: 2.3549 2025-05-03 21:08:48,310 - pyskl - INFO - Epoch [63][300/1281] lr: 1.580e-02, eta: 16:37:09, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 2.2684, loss: 2.2684 2025-05-03 21:09:46,943 - pyskl - INFO - Epoch [63][400/1281] lr: 1.578e-02, eta: 16:36:23, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 2.3924, loss: 2.3924 2025-05-03 21:10:45,239 - pyskl - INFO - Epoch [63][500/1281] lr: 1.576e-02, eta: 16:35:37, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 2.3737, loss: 2.3737 2025-05-03 21:11:43,135 - pyskl - INFO - Epoch [63][600/1281] lr: 1.574e-02, eta: 16:34:50, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9325, top5_acc: 1.0000, loss_cls: 2.3768, loss: 2.3768 2025-05-03 21:12:41,377 - pyskl - INFO - Epoch [63][700/1281] lr: 1.572e-02, eta: 16:34:04, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 2.3551, loss: 2.3551 2025-05-03 21:13:39,069 - pyskl - INFO - Epoch [63][800/1281] lr: 1.570e-02, eta: 16:33:17, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 2.4425, loss: 2.4425 2025-05-03 21:14:36,248 - pyskl - INFO - Epoch [63][900/1281] lr: 1.568e-02, eta: 16:32:29, time: 0.572, data_time: 0.000, memory: 9000, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 2.3923, loss: 2.3923 2025-05-03 21:15:32,298 - pyskl - INFO - Epoch [63][1000/1281] lr: 1.566e-02, eta: 16:31:40, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9231, top5_acc: 1.0000, loss_cls: 2.4202, loss: 2.4202 2025-05-03 21:16:27,612 - pyskl - INFO - Epoch [63][1100/1281] lr: 1.564e-02, eta: 16:30:50, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 2.3938, loss: 2.3938 2025-05-03 21:17:23,510 - pyskl - INFO - Epoch [63][1200/1281] lr: 1.562e-02, eta: 16:30:00, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9181, top5_acc: 0.9969, loss_cls: 2.4610, loss: 2.4610 2025-05-03 21:18:08,795 - pyskl - INFO - Saving checkpoint at 63 epochs 2025-05-03 21:18:55,888 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 21:18:55,944 - pyskl - INFO - top1_acc 0.8686 top5_acc 0.9910 2025-05-03 21:18:55,944 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 21:18:55,952 - pyskl - INFO - mean_acc 0.8300 2025-05-03 21:18:55,954 - pyskl - INFO - Epoch(val) [63][533] top1_acc: 0.8686, top5_acc: 0.9910, mean_class_accuracy: 0.8300 2025-05-03 21:20:00,522 - pyskl - INFO - Epoch [64][100/1281] lr: 1.559e-02, eta: 16:27:40, time: 0.646, data_time: 0.181, memory: 9000, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 2.3727, loss: 2.3727 2025-05-03 21:20:53,934 - pyskl - INFO - Epoch [64][200/1281] lr: 1.557e-02, eta: 16:26:47, time: 0.534, data_time: 0.000, memory: 9000, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 2.2368, loss: 2.2368 2025-05-03 21:21:48,290 - pyskl - INFO - Epoch [64][300/1281] lr: 1.555e-02, eta: 16:25:55, time: 0.544, data_time: 0.000, memory: 9000, top1_acc: 0.9431, top5_acc: 1.0000, loss_cls: 2.2810, loss: 2.2810 2025-05-03 21:22:43,569 - pyskl - INFO - Epoch [64][400/1281] lr: 1.553e-02, eta: 16:25:05, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 2.3895, loss: 2.3895 2025-05-03 21:23:39,384 - pyskl - INFO - Epoch [64][500/1281] lr: 1.551e-02, eta: 16:24:15, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 2.2668, loss: 2.2668 2025-05-03 21:24:34,510 - pyskl - INFO - Epoch [64][600/1281] lr: 1.549e-02, eta: 16:23:24, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9300, top5_acc: 0.9975, loss_cls: 2.4097, loss: 2.4097 2025-05-03 21:25:29,399 - pyskl - INFO - Epoch [64][700/1281] lr: 1.547e-02, eta: 16:22:33, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 2.3657, loss: 2.3657 2025-05-03 21:26:24,943 - pyskl - INFO - Epoch [64][800/1281] lr: 1.545e-02, eta: 16:21:43, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9156, top5_acc: 0.9988, loss_cls: 2.4290, loss: 2.4290 2025-05-03 21:27:20,994 - pyskl - INFO - Epoch [64][900/1281] lr: 1.543e-02, eta: 16:20:54, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 2.3926, loss: 2.3926 2025-05-03 21:28:15,958 - pyskl - INFO - Epoch [64][1000/1281] lr: 1.541e-02, eta: 16:20:03, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 2.3402, loss: 2.3402 2025-05-03 21:29:12,076 - pyskl - INFO - Epoch [64][1100/1281] lr: 1.539e-02, eta: 16:19:14, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 2.3383, loss: 2.3383 2025-05-03 21:30:08,449 - pyskl - INFO - Epoch [64][1200/1281] lr: 1.537e-02, eta: 16:18:25, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 2.3467, loss: 2.3467 2025-05-03 21:30:53,889 - pyskl - INFO - Saving checkpoint at 64 epochs 2025-05-03 21:31:40,925 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 21:31:40,983 - pyskl - INFO - top1_acc 0.8703 top5_acc 0.9919 2025-05-03 21:31:40,983 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 21:31:40,991 - pyskl - INFO - mean_acc 0.8251 2025-05-03 21:31:40,995 - pyskl - INFO - Epoch(val) [64][533] top1_acc: 0.8703, top5_acc: 0.9919, mean_class_accuracy: 0.8251 2025-05-03 21:32:47,143 - pyskl - INFO - Epoch [65][100/1281] lr: 1.533e-02, eta: 16:16:08, time: 0.661, data_time: 0.186, memory: 9000, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 2.3232, loss: 2.3232 2025-05-03 21:33:42,840 - pyskl - INFO - Epoch [65][200/1281] lr: 1.531e-02, eta: 16:15:18, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 2.3275, loss: 2.3275 2025-05-03 21:34:40,204 - pyskl - INFO - Epoch [65][300/1281] lr: 1.529e-02, eta: 16:14:30, time: 0.574, data_time: 0.000, memory: 9000, top1_acc: 0.9394, top5_acc: 1.0000, loss_cls: 2.3696, loss: 2.3696 2025-05-03 21:35:38,424 - pyskl - INFO - Epoch [65][400/1281] lr: 1.527e-02, eta: 16:13:43, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 2.2608, loss: 2.2608 2025-05-03 21:36:36,113 - pyskl - INFO - Epoch [65][500/1281] lr: 1.526e-02, eta: 16:12:56, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 2.2681, loss: 2.2681 2025-05-03 21:37:34,138 - pyskl - INFO - Epoch [65][600/1281] lr: 1.524e-02, eta: 16:12:09, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 2.3335, loss: 2.3335 2025-05-03 21:38:32,182 - pyskl - INFO - Epoch [65][700/1281] lr: 1.522e-02, eta: 16:11:22, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 2.3479, loss: 2.3479 2025-05-03 21:39:31,475 - pyskl - INFO - Epoch [65][800/1281] lr: 1.520e-02, eta: 16:10:37, time: 0.593, data_time: 0.000, memory: 9000, top1_acc: 0.9400, top5_acc: 1.0000, loss_cls: 2.3226, loss: 2.3226 2025-05-03 21:40:29,710 - pyskl - INFO - Epoch [65][900/1281] lr: 1.518e-02, eta: 16:09:51, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9281, top5_acc: 1.0000, loss_cls: 2.4579, loss: 2.4579 2025-05-03 21:41:27,172 - pyskl - INFO - Epoch [65][1000/1281] lr: 1.516e-02, eta: 16:09:03, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9344, top5_acc: 0.9994, loss_cls: 2.3881, loss: 2.3881 2025-05-03 21:42:25,727 - pyskl - INFO - Epoch [65][1100/1281] lr: 1.514e-02, eta: 16:08:16, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 2.3680, loss: 2.3680 2025-05-03 21:43:24,798 - pyskl - INFO - Epoch [65][1200/1281] lr: 1.512e-02, eta: 16:07:31, time: 0.591, data_time: 0.000, memory: 9000, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 2.3094, loss: 2.3094 2025-05-03 21:44:12,875 - pyskl - INFO - Saving checkpoint at 65 epochs 2025-05-03 21:45:01,490 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 21:45:01,546 - pyskl - INFO - top1_acc 0.8619 top5_acc 0.9911 2025-05-03 21:45:01,546 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 21:45:01,553 - pyskl - INFO - mean_acc 0.7965 2025-05-03 21:45:01,556 - pyskl - INFO - Epoch(val) [65][533] top1_acc: 0.8619, top5_acc: 0.9911, mean_class_accuracy: 0.7965 2025-05-03 21:46:08,579 - pyskl - INFO - Epoch [66][100/1281] lr: 1.508e-02, eta: 16:05:16, time: 0.670, data_time: 0.182, memory: 9000, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 2.4136, loss: 2.4136 2025-05-03 21:47:04,553 - pyskl - INFO - Epoch [66][200/1281] lr: 1.506e-02, eta: 16:04:26, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 2.3346, loss: 2.3346 2025-05-03 21:48:02,622 - pyskl - INFO - Epoch [66][300/1281] lr: 1.504e-02, eta: 16:03:39, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 2.2695, loss: 2.2695 2025-05-03 21:48:59,099 - pyskl - INFO - Epoch [66][400/1281] lr: 1.502e-02, eta: 16:02:50, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9344, top5_acc: 0.9994, loss_cls: 2.2464, loss: 2.2464 2025-05-03 21:49:55,105 - pyskl - INFO - Epoch [66][500/1281] lr: 1.500e-02, eta: 16:02:01, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 2.3497, loss: 2.3497 2025-05-03 21:50:51,647 - pyskl - INFO - Epoch [66][600/1281] lr: 1.498e-02, eta: 16:01:12, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 2.2812, loss: 2.2812 2025-05-03 21:51:47,792 - pyskl - INFO - Epoch [66][700/1281] lr: 1.496e-02, eta: 16:00:22, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 2.3605, loss: 2.3605 2025-05-03 21:52:43,306 - pyskl - INFO - Epoch [66][800/1281] lr: 1.494e-02, eta: 15:59:32, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 2.3500, loss: 2.3500 2025-05-03 21:53:38,898 - pyskl - INFO - Epoch [66][900/1281] lr: 1.492e-02, eta: 15:58:41, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9337, top5_acc: 0.9988, loss_cls: 2.3081, loss: 2.3081 2025-05-03 21:54:34,161 - pyskl - INFO - Epoch [66][1000/1281] lr: 1.490e-02, eta: 15:57:51, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 2.3784, loss: 2.3784 2025-05-03 21:55:29,335 - pyskl - INFO - Epoch [66][1100/1281] lr: 1.488e-02, eta: 15:57:00, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 2.2488, loss: 2.2488 2025-05-03 21:56:25,281 - pyskl - INFO - Epoch [66][1200/1281] lr: 1.486e-02, eta: 15:56:10, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 2.4480, loss: 2.4480 2025-05-03 21:57:10,331 - pyskl - INFO - Saving checkpoint at 66 epochs 2025-05-03 21:57:56,839 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 21:57:56,897 - pyskl - INFO - top1_acc 0.8730 top5_acc 0.9885 2025-05-03 21:57:56,897 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 21:57:56,905 - pyskl - INFO - mean_acc 0.8350 2025-05-03 21:57:56,908 - pyskl - INFO - Epoch(val) [66][533] top1_acc: 0.8730, top5_acc: 0.9885, mean_class_accuracy: 0.8350 2025-05-03 21:59:01,304 - pyskl - INFO - Epoch [67][100/1281] lr: 1.482e-02, eta: 15:53:53, time: 0.644, data_time: 0.179, memory: 9000, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 2.2278, loss: 2.2278 2025-05-03 21:59:55,003 - pyskl - INFO - Epoch [67][200/1281] lr: 1.480e-02, eta: 15:53:00, time: 0.537, data_time: 0.000, memory: 9000, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 2.2411, loss: 2.2411 2025-05-03 22:00:50,032 - pyskl - INFO - Epoch [67][300/1281] lr: 1.478e-02, eta: 15:52:09, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 2.3100, loss: 2.3100 2025-05-03 22:01:44,780 - pyskl - INFO - Epoch [67][400/1281] lr: 1.476e-02, eta: 15:51:18, time: 0.547, data_time: 0.000, memory: 9000, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 2.3682, loss: 2.3682 2025-05-03 22:02:40,806 - pyskl - INFO - Epoch [67][500/1281] lr: 1.474e-02, eta: 15:50:28, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 2.3509, loss: 2.3509 2025-05-03 22:03:36,486 - pyskl - INFO - Epoch [67][600/1281] lr: 1.472e-02, eta: 15:49:38, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 2.3534, loss: 2.3534 2025-05-03 22:04:32,451 - pyskl - INFO - Epoch [67][700/1281] lr: 1.470e-02, eta: 15:48:48, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 2.3866, loss: 2.3866 2025-05-03 22:05:27,212 - pyskl - INFO - Epoch [67][800/1281] lr: 1.468e-02, eta: 15:47:57, time: 0.548, data_time: 0.000, memory: 9000, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 2.4480, loss: 2.4480 2025-05-03 22:06:22,726 - pyskl - INFO - Epoch [67][900/1281] lr: 1.466e-02, eta: 15:47:06, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9369, top5_acc: 0.9975, loss_cls: 2.4262, loss: 2.4262 2025-05-03 22:07:18,467 - pyskl - INFO - Epoch [67][1000/1281] lr: 1.464e-02, eta: 15:46:16, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 2.2641, loss: 2.2641 2025-05-03 22:08:13,624 - pyskl - INFO - Epoch [67][1100/1281] lr: 1.462e-02, eta: 15:45:25, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 2.3559, loss: 2.3559 2025-05-03 22:09:12,163 - pyskl - INFO - Epoch [67][1200/1281] lr: 1.460e-02, eta: 15:44:39, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 2.3463, loss: 2.3463 2025-05-03 22:09:59,576 - pyskl - INFO - Saving checkpoint at 67 epochs 2025-05-03 22:10:47,587 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 22:10:47,651 - pyskl - INFO - top1_acc 0.8527 top5_acc 0.9865 2025-05-03 22:10:47,651 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 22:10:47,659 - pyskl - INFO - mean_acc 0.8112 2025-05-03 22:10:47,662 - pyskl - INFO - Epoch(val) [67][533] top1_acc: 0.8527, top5_acc: 0.9865, mean_class_accuracy: 0.8112 2025-05-03 22:11:54,556 - pyskl - INFO - Epoch [68][100/1281] lr: 1.456e-02, eta: 15:42:26, time: 0.669, data_time: 0.182, memory: 9000, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 2.3026, loss: 2.3026 2025-05-03 22:12:50,994 - pyskl - INFO - Epoch [68][200/1281] lr: 1.454e-02, eta: 15:41:36, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 2.3395, loss: 2.3395 2025-05-03 22:13:46,657 - pyskl - INFO - Epoch [68][300/1281] lr: 1.452e-02, eta: 15:40:46, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 2.3954, loss: 2.3954 2025-05-03 22:14:42,184 - pyskl - INFO - Epoch [68][400/1281] lr: 1.450e-02, eta: 15:39:56, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 2.2527, loss: 2.2527 2025-05-03 22:15:38,507 - pyskl - INFO - Epoch [68][500/1281] lr: 1.448e-02, eta: 15:39:06, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 2.2501, loss: 2.2501 2025-05-03 22:16:33,913 - pyskl - INFO - Epoch [68][600/1281] lr: 1.446e-02, eta: 15:38:16, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 2.2379, loss: 2.2379 2025-05-03 22:17:28,857 - pyskl - INFO - Epoch [68][700/1281] lr: 1.444e-02, eta: 15:37:24, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9406, top5_acc: 0.9981, loss_cls: 2.4014, loss: 2.4014 2025-05-03 22:18:25,468 - pyskl - INFO - Epoch [68][800/1281] lr: 1.442e-02, eta: 15:36:35, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 2.4393, loss: 2.4393 2025-05-03 22:19:20,826 - pyskl - INFO - Epoch [68][900/1281] lr: 1.440e-02, eta: 15:35:45, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 2.3153, loss: 2.3153 2025-05-03 22:20:16,132 - pyskl - INFO - Epoch [68][1000/1281] lr: 1.438e-02, eta: 15:34:54, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 2.3038, loss: 2.3038 2025-05-03 22:21:10,999 - pyskl - INFO - Epoch [68][1100/1281] lr: 1.436e-02, eta: 15:34:02, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9313, top5_acc: 1.0000, loss_cls: 2.2915, loss: 2.2915 2025-05-03 22:22:06,243 - pyskl - INFO - Epoch [68][1200/1281] lr: 1.434e-02, eta: 15:33:12, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 2.4484, loss: 2.4484 2025-05-03 22:22:50,946 - pyskl - INFO - Saving checkpoint at 68 epochs 2025-05-03 22:23:37,504 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 22:23:37,561 - pyskl - INFO - top1_acc 0.8731 top5_acc 0.9908 2025-05-03 22:23:37,561 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 22:23:37,569 - pyskl - INFO - mean_acc 0.8312 2025-05-03 22:23:37,572 - pyskl - INFO - Epoch(val) [68][533] top1_acc: 0.8731, top5_acc: 0.9908, mean_class_accuracy: 0.8312 2025-05-03 22:24:40,996 - pyskl - INFO - Epoch [69][100/1281] lr: 1.431e-02, eta: 15:30:55, time: 0.634, data_time: 0.181, memory: 9000, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 2.2617, loss: 2.2617 2025-05-03 22:25:34,216 - pyskl - INFO - Epoch [69][200/1281] lr: 1.429e-02, eta: 15:30:02, time: 0.532, data_time: 0.000, memory: 9000, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 2.1861, loss: 2.1861 2025-05-03 22:26:28,766 - pyskl - INFO - Epoch [69][300/1281] lr: 1.427e-02, eta: 15:29:11, time: 0.545, data_time: 0.000, memory: 9000, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 2.2302, loss: 2.2302 2025-05-03 22:27:24,464 - pyskl - INFO - Epoch [69][400/1281] lr: 1.425e-02, eta: 15:28:20, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 2.2864, loss: 2.2864 2025-05-03 22:28:20,500 - pyskl - INFO - Epoch [69][500/1281] lr: 1.423e-02, eta: 15:27:30, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 2.2563, loss: 2.2563 2025-05-03 22:29:15,939 - pyskl - INFO - Epoch [69][600/1281] lr: 1.420e-02, eta: 15:26:40, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 2.2162, loss: 2.2162 2025-05-03 22:30:12,515 - pyskl - INFO - Epoch [69][700/1281] lr: 1.418e-02, eta: 15:25:51, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 2.3063, loss: 2.3063 2025-05-03 22:31:08,071 - pyskl - INFO - Epoch [69][800/1281] lr: 1.416e-02, eta: 15:25:00, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 2.3304, loss: 2.3304 2025-05-03 22:32:04,636 - pyskl - INFO - Epoch [69][900/1281] lr: 1.414e-02, eta: 15:24:11, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 2.3194, loss: 2.3194 2025-05-03 22:33:02,475 - pyskl - INFO - Epoch [69][1000/1281] lr: 1.412e-02, eta: 15:23:23, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 2.3757, loss: 2.3757 2025-05-03 22:34:01,184 - pyskl - INFO - Epoch [69][1100/1281] lr: 1.410e-02, eta: 15:22:36, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 2.3776, loss: 2.3776 2025-05-03 22:34:58,940 - pyskl - INFO - Epoch [69][1200/1281] lr: 1.408e-02, eta: 15:21:48, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 2.3027, loss: 2.3027 2025-05-03 22:35:45,520 - pyskl - INFO - Saving checkpoint at 69 epochs 2025-05-03 22:36:34,447 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 22:36:34,507 - pyskl - INFO - top1_acc 0.8791 top5_acc 0.9932 2025-05-03 22:36:34,507 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 22:36:34,515 - pyskl - INFO - mean_acc 0.8283 2025-05-03 22:36:34,518 - pyskl - INFO - Epoch(val) [69][533] top1_acc: 0.8791, top5_acc: 0.9932, mean_class_accuracy: 0.8283 2025-05-03 22:37:41,110 - pyskl - INFO - Epoch [70][100/1281] lr: 1.405e-02, eta: 15:19:37, time: 0.666, data_time: 0.182, memory: 9000, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 2.2888, loss: 2.2888 2025-05-03 22:38:35,869 - pyskl - INFO - Epoch [70][200/1281] lr: 1.403e-02, eta: 15:18:45, time: 0.548, data_time: 0.000, memory: 9000, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 2.2973, loss: 2.2973 2025-05-03 22:39:32,798 - pyskl - INFO - Epoch [70][300/1281] lr: 1.401e-02, eta: 15:17:56, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 2.2801, loss: 2.2801 2025-05-03 22:40:30,609 - pyskl - INFO - Epoch [70][400/1281] lr: 1.399e-02, eta: 15:17:09, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 2.2733, loss: 2.2733 2025-05-03 22:41:29,657 - pyskl - INFO - Epoch [70][500/1281] lr: 1.397e-02, eta: 15:16:22, time: 0.590, data_time: 0.000, memory: 9000, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 2.2342, loss: 2.2342 2025-05-03 22:42:28,391 - pyskl - INFO - Epoch [70][600/1281] lr: 1.395e-02, eta: 15:15:35, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 2.1762, loss: 2.1762 2025-05-03 22:43:27,596 - pyskl - INFO - Epoch [70][700/1281] lr: 1.392e-02, eta: 15:14:49, time: 0.592, data_time: 0.000, memory: 9000, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 2.2985, loss: 2.2985 2025-05-03 22:44:25,986 - pyskl - INFO - Epoch [70][800/1281] lr: 1.390e-02, eta: 15:14:01, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 2.5277, loss: 2.5277 2025-05-03 22:45:24,748 - pyskl - INFO - Epoch [70][900/1281] lr: 1.388e-02, eta: 15:13:15, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 2.3371, loss: 2.3371 2025-05-03 22:46:23,029 - pyskl - INFO - Epoch [70][1000/1281] lr: 1.386e-02, eta: 15:12:27, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9400, top5_acc: 1.0000, loss_cls: 2.3486, loss: 2.3486 2025-05-03 22:47:20,848 - pyskl - INFO - Epoch [70][1100/1281] lr: 1.384e-02, eta: 15:11:39, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9375, top5_acc: 0.9981, loss_cls: 2.2822, loss: 2.2822 2025-05-03 22:48:18,744 - pyskl - INFO - Epoch [70][1200/1281] lr: 1.382e-02, eta: 15:10:51, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 2.3077, loss: 2.3077 2025-05-03 22:49:05,974 - pyskl - INFO - Saving checkpoint at 70 epochs 2025-05-03 22:49:54,539 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 22:49:54,596 - pyskl - INFO - top1_acc 0.8737 top5_acc 0.9925 2025-05-03 22:49:54,596 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 22:49:54,605 - pyskl - INFO - mean_acc 0.8417 2025-05-03 22:49:54,608 - pyskl - INFO - Epoch(val) [70][533] top1_acc: 0.8737, top5_acc: 0.9925, mean_class_accuracy: 0.8417 2025-05-03 22:51:01,670 - pyskl - INFO - Epoch [71][100/1281] lr: 1.379e-02, eta: 15:08:41, time: 0.671, data_time: 0.181, memory: 9000, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 2.1819, loss: 2.1819 2025-05-03 22:51:57,642 - pyskl - INFO - Epoch [71][200/1281] lr: 1.377e-02, eta: 15:07:51, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 2.1556, loss: 2.1556 2025-05-03 22:52:55,890 - pyskl - INFO - Epoch [71][300/1281] lr: 1.375e-02, eta: 15:07:03, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 2.2393, loss: 2.2393 2025-05-03 22:53:53,767 - pyskl - INFO - Epoch [71][400/1281] lr: 1.373e-02, eta: 15:06:15, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 2.1943, loss: 2.1943 2025-05-03 22:54:51,925 - pyskl - INFO - Epoch [71][500/1281] lr: 1.371e-02, eta: 15:05:27, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 2.3425, loss: 2.3425 2025-05-03 22:55:49,870 - pyskl - INFO - Epoch [71][600/1281] lr: 1.368e-02, eta: 15:04:39, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 2.1924, loss: 2.1924 2025-05-03 22:56:47,198 - pyskl - INFO - Epoch [71][700/1281] lr: 1.366e-02, eta: 15:03:51, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 2.2918, loss: 2.2918 2025-05-03 22:57:45,395 - pyskl - INFO - Epoch [71][800/1281] lr: 1.364e-02, eta: 15:03:03, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 2.3553, loss: 2.3553 2025-05-03 22:58:43,147 - pyskl - INFO - Epoch [71][900/1281] lr: 1.362e-02, eta: 15:02:15, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 2.4473, loss: 2.4473 2025-05-03 22:59:41,466 - pyskl - INFO - Epoch [71][1000/1281] lr: 1.360e-02, eta: 15:01:27, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9319, top5_acc: 0.9994, loss_cls: 2.3516, loss: 2.3516 2025-05-03 23:00:40,809 - pyskl - INFO - Epoch [71][1100/1281] lr: 1.358e-02, eta: 15:00:41, time: 0.593, data_time: 0.000, memory: 9000, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 2.3986, loss: 2.3986 2025-05-03 23:01:39,163 - pyskl - INFO - Epoch [71][1200/1281] lr: 1.356e-02, eta: 14:59:53, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9244, top5_acc: 0.9994, loss_cls: 2.2956, loss: 2.2956 2025-05-03 23:02:27,627 - pyskl - INFO - Saving checkpoint at 71 epochs 2025-05-03 23:03:16,041 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 23:03:16,098 - pyskl - INFO - top1_acc 0.8941 top5_acc 0.9926 2025-05-03 23:03:16,098 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 23:03:16,105 - pyskl - INFO - mean_acc 0.8624 2025-05-03 23:03:16,166 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_54.pth was removed 2025-05-03 23:03:17,781 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_71.pth. 2025-05-03 23:03:17,782 - pyskl - INFO - Best top1_acc is 0.8941 at 71 epoch. 2025-05-03 23:03:17,786 - pyskl - INFO - Epoch(val) [71][533] top1_acc: 0.8941, top5_acc: 0.9926, mean_class_accuracy: 0.8624 2025-05-03 23:04:24,284 - pyskl - INFO - Epoch [72][100/1281] lr: 1.353e-02, eta: 14:57:43, time: 0.665, data_time: 0.182, memory: 9000, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 2.1089, loss: 2.1089 2025-05-03 23:05:19,945 - pyskl - INFO - Epoch [72][200/1281] lr: 1.351e-02, eta: 14:56:52, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 2.1218, loss: 2.1218 2025-05-03 23:06:16,748 - pyskl - INFO - Epoch [72][300/1281] lr: 1.349e-02, eta: 14:56:03, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 2.2023, loss: 2.2023 2025-05-03 23:07:12,458 - pyskl - INFO - Epoch [72][400/1281] lr: 1.346e-02, eta: 14:55:12, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 2.2528, loss: 2.2528 2025-05-03 23:08:10,380 - pyskl - INFO - Epoch [72][500/1281] lr: 1.344e-02, eta: 14:54:24, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9450, top5_acc: 0.9994, loss_cls: 2.2024, loss: 2.2024 2025-05-03 23:09:07,711 - pyskl - INFO - Epoch [72][600/1281] lr: 1.342e-02, eta: 14:53:35, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 2.3309, loss: 2.3309 2025-05-03 23:10:05,128 - pyskl - INFO - Epoch [72][700/1281] lr: 1.340e-02, eta: 14:52:47, time: 0.574, data_time: 0.000, memory: 9000, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 2.2340, loss: 2.2340 2025-05-03 23:11:02,827 - pyskl - INFO - Epoch [72][800/1281] lr: 1.338e-02, eta: 14:51:58, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9344, top5_acc: 1.0000, loss_cls: 2.3088, loss: 2.3088 2025-05-03 23:11:59,560 - pyskl - INFO - Epoch [72][900/1281] lr: 1.336e-02, eta: 14:51:09, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 2.2795, loss: 2.2795 2025-05-03 23:12:56,345 - pyskl - INFO - Epoch [72][1000/1281] lr: 1.334e-02, eta: 14:50:19, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 2.2386, loss: 2.2386 2025-05-03 23:13:52,189 - pyskl - INFO - Epoch [72][1100/1281] lr: 1.332e-02, eta: 14:49:28, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 2.2487, loss: 2.2487 2025-05-03 23:14:48,684 - pyskl - INFO - Epoch [72][1200/1281] lr: 1.330e-02, eta: 14:48:39, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 2.2384, loss: 2.2384 2025-05-03 23:15:33,779 - pyskl - INFO - Saving checkpoint at 72 epochs 2025-05-03 23:16:20,165 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 23:16:20,222 - pyskl - INFO - top1_acc 0.8750 top5_acc 0.9890 2025-05-03 23:16:20,222 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 23:16:20,230 - pyskl - INFO - mean_acc 0.8470 2025-05-03 23:16:20,233 - pyskl - INFO - Epoch(val) [72][533] top1_acc: 0.8750, top5_acc: 0.9890, mean_class_accuracy: 0.8470 2025-05-03 23:17:24,123 - pyskl - INFO - Epoch [73][100/1281] lr: 1.326e-02, eta: 14:46:27, time: 0.639, data_time: 0.182, memory: 9000, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 2.1249, loss: 2.1249 2025-05-03 23:18:17,058 - pyskl - INFO - Epoch [73][200/1281] lr: 1.324e-02, eta: 14:45:33, time: 0.529, data_time: 0.000, memory: 9000, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 2.1475, loss: 2.1475 2025-05-03 23:19:11,243 - pyskl - INFO - Epoch [73][300/1281] lr: 1.322e-02, eta: 14:44:41, time: 0.542, data_time: 0.000, memory: 9000, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 2.2061, loss: 2.2061 2025-05-03 23:20:06,435 - pyskl - INFO - Epoch [73][400/1281] lr: 1.320e-02, eta: 14:43:50, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 2.1562, loss: 2.1562 2025-05-03 23:21:02,326 - pyskl - INFO - Epoch [73][500/1281] lr: 1.318e-02, eta: 14:42:59, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 2.1495, loss: 2.1495 2025-05-03 23:21:57,321 - pyskl - INFO - Epoch [73][600/1281] lr: 1.316e-02, eta: 14:42:08, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9337, top5_acc: 1.0000, loss_cls: 2.2276, loss: 2.2276 2025-05-03 23:22:52,798 - pyskl - INFO - Epoch [73][700/1281] lr: 1.314e-02, eta: 14:41:17, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 2.3845, loss: 2.3845 2025-05-03 23:23:47,888 - pyskl - INFO - Epoch [73][800/1281] lr: 1.312e-02, eta: 14:40:25, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 2.2446, loss: 2.2446 2025-05-03 23:24:43,230 - pyskl - INFO - Epoch [73][900/1281] lr: 1.310e-02, eta: 14:39:34, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 2.1717, loss: 2.1717 2025-05-03 23:25:37,598 - pyskl - INFO - Epoch [73][1000/1281] lr: 1.308e-02, eta: 14:38:42, time: 0.544, data_time: 0.000, memory: 9000, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 2.2546, loss: 2.2546 2025-05-03 23:26:33,304 - pyskl - INFO - Epoch [73][1100/1281] lr: 1.306e-02, eta: 14:37:51, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9413, top5_acc: 1.0000, loss_cls: 2.2425, loss: 2.2425 2025-05-03 23:27:28,748 - pyskl - INFO - Epoch [73][1200/1281] lr: 1.304e-02, eta: 14:37:00, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 2.3140, loss: 2.3140 2025-05-03 23:28:13,898 - pyskl - INFO - Saving checkpoint at 73 epochs 2025-05-03 23:29:00,596 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 23:29:00,655 - pyskl - INFO - top1_acc 0.8864 top5_acc 0.9913 2025-05-03 23:29:00,655 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 23:29:00,663 - pyskl - INFO - mean_acc 0.8574 2025-05-03 23:29:00,666 - pyskl - INFO - Epoch(val) [73][533] top1_acc: 0.8864, top5_acc: 0.9913, mean_class_accuracy: 0.8574 2025-05-03 23:30:05,108 - pyskl - INFO - Epoch [74][100/1281] lr: 1.300e-02, eta: 14:34:50, time: 0.644, data_time: 0.180, memory: 9000, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 2.1792, loss: 2.1792 2025-05-03 23:30:59,229 - pyskl - INFO - Epoch [74][200/1281] lr: 1.298e-02, eta: 14:33:58, time: 0.541, data_time: 0.000, memory: 9000, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 2.0573, loss: 2.0573 2025-05-03 23:31:56,771 - pyskl - INFO - Epoch [74][300/1281] lr: 1.296e-02, eta: 14:33:09, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 2.1880, loss: 2.1880 2025-05-03 23:32:53,918 - pyskl - INFO - Epoch [74][400/1281] lr: 1.294e-02, eta: 14:32:20, time: 0.571, data_time: 0.000, memory: 9000, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 2.1881, loss: 2.1881 2025-05-03 23:33:52,238 - pyskl - INFO - Epoch [74][500/1281] lr: 1.292e-02, eta: 14:31:32, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 2.2670, loss: 2.2670 2025-05-03 23:34:50,638 - pyskl - INFO - Epoch [74][600/1281] lr: 1.290e-02, eta: 14:30:44, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 2.2018, loss: 2.2018 2025-05-03 23:35:48,630 - pyskl - INFO - Epoch [74][700/1281] lr: 1.288e-02, eta: 14:29:55, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 2.1166, loss: 2.1166 2025-05-03 23:36:46,497 - pyskl - INFO - Epoch [74][800/1281] lr: 1.286e-02, eta: 14:29:07, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 2.2121, loss: 2.2121 2025-05-03 23:37:45,020 - pyskl - INFO - Epoch [74][900/1281] lr: 1.284e-02, eta: 14:28:19, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 2.1635, loss: 2.1635 2025-05-03 23:38:43,227 - pyskl - INFO - Epoch [74][1000/1281] lr: 1.282e-02, eta: 14:27:31, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 2.2305, loss: 2.2305 2025-05-03 23:39:41,209 - pyskl - INFO - Epoch [74][1100/1281] lr: 1.280e-02, eta: 14:26:42, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 2.3708, loss: 2.3708 2025-05-03 23:40:39,196 - pyskl - INFO - Epoch [74][1200/1281] lr: 1.278e-02, eta: 14:25:54, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 2.3052, loss: 2.3052 2025-05-03 23:41:26,857 - pyskl - INFO - Saving checkpoint at 74 epochs 2025-05-03 23:42:15,844 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 23:42:15,901 - pyskl - INFO - top1_acc 0.8707 top5_acc 0.9901 2025-05-03 23:42:15,901 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 23:42:15,909 - pyskl - INFO - mean_acc 0.8438 2025-05-03 23:42:15,911 - pyskl - INFO - Epoch(val) [74][533] top1_acc: 0.8707, top5_acc: 0.9901, mean_class_accuracy: 0.8438 2025-05-03 23:43:22,142 - pyskl - INFO - Epoch [75][100/1281] lr: 1.274e-02, eta: 14:23:46, time: 0.662, data_time: 0.183, memory: 9000, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 2.1703, loss: 2.1703 2025-05-03 23:44:17,886 - pyskl - INFO - Epoch [75][200/1281] lr: 1.272e-02, eta: 14:22:55, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 2.2164, loss: 2.2164 2025-05-03 23:45:15,070 - pyskl - INFO - Epoch [75][300/1281] lr: 1.270e-02, eta: 14:22:06, time: 0.572, data_time: 0.000, memory: 9000, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 2.1354, loss: 2.1354 2025-05-03 23:46:12,995 - pyskl - INFO - Epoch [75][400/1281] lr: 1.268e-02, eta: 14:21:17, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 2.1281, loss: 2.1281 2025-05-03 23:47:11,213 - pyskl - INFO - Epoch [75][500/1281] lr: 1.266e-02, eta: 14:20:29, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 2.1970, loss: 2.1970 2025-05-03 23:48:09,722 - pyskl - INFO - Epoch [75][600/1281] lr: 1.264e-02, eta: 14:19:41, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 2.2558, loss: 2.2558 2025-05-03 23:49:08,504 - pyskl - INFO - Epoch [75][700/1281] lr: 1.262e-02, eta: 14:18:53, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 2.2069, loss: 2.2069 2025-05-03 23:50:06,277 - pyskl - INFO - Epoch [75][800/1281] lr: 1.260e-02, eta: 14:18:04, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 2.2666, loss: 2.2666 2025-05-03 23:51:04,902 - pyskl - INFO - Epoch [75][900/1281] lr: 1.258e-02, eta: 14:17:16, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 2.2073, loss: 2.2073 2025-05-03 23:52:02,657 - pyskl - INFO - Epoch [75][1000/1281] lr: 1.256e-02, eta: 14:16:28, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 2.2297, loss: 2.2297 2025-05-03 23:52:59,983 - pyskl - INFO - Epoch [75][1100/1281] lr: 1.254e-02, eta: 14:15:38, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 2.3448, loss: 2.3448 2025-05-03 23:53:57,635 - pyskl - INFO - Epoch [75][1200/1281] lr: 1.252e-02, eta: 14:14:49, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9369, top5_acc: 1.0000, loss_cls: 2.2917, loss: 2.2917 2025-05-03 23:54:44,623 - pyskl - INFO - Saving checkpoint at 75 epochs 2025-05-03 23:55:32,426 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-03 23:55:32,483 - pyskl - INFO - top1_acc 0.8879 top5_acc 0.9933 2025-05-03 23:55:32,483 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-03 23:55:32,490 - pyskl - INFO - mean_acc 0.8611 2025-05-03 23:55:32,492 - pyskl - INFO - Epoch(val) [75][533] top1_acc: 0.8879, top5_acc: 0.9933, mean_class_accuracy: 0.8611 2025-05-03 23:56:39,029 - pyskl - INFO - Epoch [76][100/1281] lr: 1.248e-02, eta: 14:12:43, time: 0.665, data_time: 0.180, memory: 9000, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 2.1968, loss: 2.1968 2025-05-03 23:57:34,486 - pyskl - INFO - Epoch [76][200/1281] lr: 1.246e-02, eta: 14:11:52, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 2.1033, loss: 2.1033 2025-05-03 23:58:31,258 - pyskl - INFO - Epoch [76][300/1281] lr: 1.244e-02, eta: 14:11:02, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 2.1207, loss: 2.1207 2025-05-03 23:59:28,883 - pyskl - INFO - Epoch [76][400/1281] lr: 1.242e-02, eta: 14:10:13, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 2.2415, loss: 2.2415 2025-05-04 00:00:25,372 - pyskl - INFO - Epoch [76][500/1281] lr: 1.240e-02, eta: 14:09:22, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 2.1338, loss: 2.1338 2025-05-04 00:01:21,653 - pyskl - INFO - Epoch [76][600/1281] lr: 1.238e-02, eta: 14:08:32, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 2.1381, loss: 2.1381 2025-05-04 00:02:17,790 - pyskl - INFO - Epoch [76][700/1281] lr: 1.236e-02, eta: 14:07:41, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 2.2753, loss: 2.2753 2025-05-04 00:03:13,618 - pyskl - INFO - Epoch [76][800/1281] lr: 1.234e-02, eta: 14:06:51, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 2.1543, loss: 2.1543 2025-05-04 00:04:08,790 - pyskl - INFO - Epoch [76][900/1281] lr: 1.232e-02, eta: 14:05:59, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 2.2299, loss: 2.2299 2025-05-04 00:05:04,238 - pyskl - INFO - Epoch [76][1000/1281] lr: 1.230e-02, eta: 14:05:08, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 2.1255, loss: 2.1255 2025-05-04 00:06:00,221 - pyskl - INFO - Epoch [76][1100/1281] lr: 1.228e-02, eta: 14:04:17, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 2.2096, loss: 2.2096 2025-05-04 00:06:57,007 - pyskl - INFO - Epoch [76][1200/1281] lr: 1.225e-02, eta: 14:03:27, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 2.2920, loss: 2.2920 2025-05-04 00:07:44,970 - pyskl - INFO - Saving checkpoint at 76 epochs 2025-05-04 00:08:32,777 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 00:08:32,834 - pyskl - INFO - top1_acc 0.8614 top5_acc 0.9914 2025-05-04 00:08:32,834 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 00:08:32,842 - pyskl - INFO - mean_acc 0.8237 2025-05-04 00:08:32,846 - pyskl - INFO - Epoch(val) [76][533] top1_acc: 0.8614, top5_acc: 0.9914, mean_class_accuracy: 0.8237 2025-05-04 00:09:38,447 - pyskl - INFO - Epoch [77][100/1281] lr: 1.222e-02, eta: 14:01:20, time: 0.656, data_time: 0.180, memory: 9000, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 2.2050, loss: 2.2050 2025-05-04 00:10:32,438 - pyskl - INFO - Epoch [77][200/1281] lr: 1.220e-02, eta: 14:00:28, time: 0.540, data_time: 0.000, memory: 9000, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 2.2011, loss: 2.2011 2025-05-04 00:11:29,602 - pyskl - INFO - Epoch [77][300/1281] lr: 1.218e-02, eta: 13:59:38, time: 0.572, data_time: 0.000, memory: 9000, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 2.0818, loss: 2.0818 2025-05-04 00:12:25,263 - pyskl - INFO - Epoch [77][400/1281] lr: 1.216e-02, eta: 13:58:47, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 2.1932, loss: 2.1932 2025-05-04 00:13:20,583 - pyskl - INFO - Epoch [77][500/1281] lr: 1.214e-02, eta: 13:57:56, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 2.2573, loss: 2.2573 2025-05-04 00:14:15,451 - pyskl - INFO - Epoch [77][600/1281] lr: 1.212e-02, eta: 13:57:04, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 2.2601, loss: 2.2601 2025-05-04 00:15:10,388 - pyskl - INFO - Epoch [77][700/1281] lr: 1.210e-02, eta: 13:56:12, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 2.1728, loss: 2.1728 2025-05-04 00:16:06,305 - pyskl - INFO - Epoch [77][800/1281] lr: 1.207e-02, eta: 13:55:21, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 2.2031, loss: 2.2031 2025-05-04 00:17:01,199 - pyskl - INFO - Epoch [77][900/1281] lr: 1.205e-02, eta: 13:54:30, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9450, top5_acc: 1.0000, loss_cls: 2.2047, loss: 2.2047 2025-05-04 00:17:55,833 - pyskl - INFO - Epoch [77][1000/1281] lr: 1.203e-02, eta: 13:53:37, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9425, top5_acc: 1.0000, loss_cls: 2.2456, loss: 2.2456 2025-05-04 00:18:50,829 - pyskl - INFO - Epoch [77][1100/1281] lr: 1.201e-02, eta: 13:52:46, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 2.1532, loss: 2.1532 2025-05-04 00:19:46,127 - pyskl - INFO - Epoch [77][1200/1281] lr: 1.199e-02, eta: 13:51:54, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9431, top5_acc: 1.0000, loss_cls: 2.2083, loss: 2.2083 2025-05-04 00:20:31,816 - pyskl - INFO - Saving checkpoint at 77 epochs 2025-05-04 00:21:18,831 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 00:21:18,888 - pyskl - INFO - top1_acc 0.8806 top5_acc 0.9925 2025-05-04 00:21:18,888 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 00:21:18,897 - pyskl - INFO - mean_acc 0.8381 2025-05-04 00:21:18,901 - pyskl - INFO - Epoch(val) [77][533] top1_acc: 0.8806, top5_acc: 0.9925, mean_class_accuracy: 0.8381 2025-05-04 00:22:22,907 - pyskl - INFO - Epoch [78][100/1281] lr: 1.196e-02, eta: 13:49:47, time: 0.640, data_time: 0.182, memory: 9000, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 2.0589, loss: 2.0589 2025-05-04 00:23:14,864 - pyskl - INFO - Epoch [78][200/1281] lr: 1.194e-02, eta: 13:48:52, time: 0.520, data_time: 0.000, memory: 9000, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 2.1495, loss: 2.1495 2025-05-04 00:24:09,482 - pyskl - INFO - Epoch [78][300/1281] lr: 1.192e-02, eta: 13:48:00, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 2.0860, loss: 2.0860 2025-05-04 00:25:04,543 - pyskl - INFO - Epoch [78][400/1281] lr: 1.190e-02, eta: 13:47:09, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 2.1825, loss: 2.1825 2025-05-04 00:25:59,761 - pyskl - INFO - Epoch [78][500/1281] lr: 1.187e-02, eta: 13:46:17, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 2.1015, loss: 2.1015 2025-05-04 00:26:56,001 - pyskl - INFO - Epoch [78][600/1281] lr: 1.185e-02, eta: 13:45:27, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 2.2223, loss: 2.2223 2025-05-04 00:27:51,309 - pyskl - INFO - Epoch [78][700/1281] lr: 1.183e-02, eta: 13:44:35, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 2.1691, loss: 2.1691 2025-05-04 00:28:46,296 - pyskl - INFO - Epoch [78][800/1281] lr: 1.181e-02, eta: 13:43:43, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 2.1563, loss: 2.1563 2025-05-04 00:29:42,659 - pyskl - INFO - Epoch [78][900/1281] lr: 1.179e-02, eta: 13:42:53, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 2.1155, loss: 2.1155 2025-05-04 00:30:40,579 - pyskl - INFO - Epoch [78][1000/1281] lr: 1.177e-02, eta: 13:42:04, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 2.1149, loss: 2.1149 2025-05-04 00:31:39,966 - pyskl - INFO - Epoch [78][1100/1281] lr: 1.175e-02, eta: 13:41:16, time: 0.594, data_time: 0.000, memory: 9000, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 2.2726, loss: 2.2726 2025-05-04 00:32:41,070 - pyskl - INFO - Epoch [78][1200/1281] lr: 1.173e-02, eta: 13:40:30, time: 0.611, data_time: 0.000, memory: 9000, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 2.1167, loss: 2.1167 2025-05-04 00:33:31,000 - pyskl - INFO - Saving checkpoint at 78 epochs 2025-05-04 00:34:20,901 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 00:34:20,957 - pyskl - INFO - top1_acc 0.8912 top5_acc 0.9932 2025-05-04 00:34:20,957 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 00:34:20,965 - pyskl - INFO - mean_acc 0.8666 2025-05-04 00:34:20,968 - pyskl - INFO - Epoch(val) [78][533] top1_acc: 0.8912, top5_acc: 0.9932, mean_class_accuracy: 0.8666 2025-05-04 00:35:28,283 - pyskl - INFO - Epoch [79][100/1281] lr: 1.169e-02, eta: 13:38:27, time: 0.673, data_time: 0.182, memory: 9000, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 2.0643, loss: 2.0643 2025-05-04 00:36:24,252 - pyskl - INFO - Epoch [79][200/1281] lr: 1.167e-02, eta: 13:37:36, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 2.1144, loss: 2.1144 2025-05-04 00:37:21,772 - pyskl - INFO - Epoch [79][300/1281] lr: 1.165e-02, eta: 13:36:46, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 2.1697, loss: 2.1697 2025-05-04 00:38:19,482 - pyskl - INFO - Epoch [79][400/1281] lr: 1.163e-02, eta: 13:35:57, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 2.1802, loss: 2.1802 2025-05-04 00:39:18,273 - pyskl - INFO - Epoch [79][500/1281] lr: 1.161e-02, eta: 13:35:09, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 2.1789, loss: 2.1789 2025-05-04 00:40:16,763 - pyskl - INFO - Epoch [79][600/1281] lr: 1.159e-02, eta: 13:34:20, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 2.1191, loss: 2.1191 2025-05-04 00:41:14,861 - pyskl - INFO - Epoch [79][700/1281] lr: 1.157e-02, eta: 13:33:31, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 2.1312, loss: 2.1312 2025-05-04 00:42:13,518 - pyskl - INFO - Epoch [79][800/1281] lr: 1.155e-02, eta: 13:32:43, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 2.2584, loss: 2.2584 2025-05-04 00:43:11,507 - pyskl - INFO - Epoch [79][900/1281] lr: 1.153e-02, eta: 13:31:54, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 2.1486, loss: 2.1486 2025-05-04 00:44:09,400 - pyskl - INFO - Epoch [79][1000/1281] lr: 1.151e-02, eta: 13:31:04, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 2.1972, loss: 2.1972 2025-05-04 00:45:08,063 - pyskl - INFO - Epoch [79][1100/1281] lr: 1.149e-02, eta: 13:30:16, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 2.1193, loss: 2.1193 2025-05-04 00:46:06,639 - pyskl - INFO - Epoch [79][1200/1281] lr: 1.147e-02, eta: 13:29:27, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 2.1698, loss: 2.1698 2025-05-04 00:46:53,962 - pyskl - INFO - Saving checkpoint at 79 epochs 2025-05-04 00:47:41,219 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 00:47:41,278 - pyskl - INFO - top1_acc 0.8720 top5_acc 0.9897 2025-05-04 00:47:41,278 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 00:47:41,286 - pyskl - INFO - mean_acc 0.8332 2025-05-04 00:47:41,289 - pyskl - INFO - Epoch(val) [79][533] top1_acc: 0.8720, top5_acc: 0.9897, mean_class_accuracy: 0.8332 2025-05-04 00:48:45,682 - pyskl - INFO - Epoch [80][100/1281] lr: 1.143e-02, eta: 13:27:22, time: 0.644, data_time: 0.180, memory: 9000, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 2.0999, loss: 2.0999 2025-05-04 00:49:38,909 - pyskl - INFO - Epoch [80][200/1281] lr: 1.141e-02, eta: 13:26:28, time: 0.532, data_time: 0.000, memory: 9000, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 2.1481, loss: 2.1481 2025-05-04 00:50:34,250 - pyskl - INFO - Epoch [80][300/1281] lr: 1.139e-02, eta: 13:25:37, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 2.1146, loss: 2.1146 2025-05-04 00:51:28,880 - pyskl - INFO - Epoch [80][400/1281] lr: 1.137e-02, eta: 13:24:45, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 2.0697, loss: 2.0697 2025-05-04 00:52:22,667 - pyskl - INFO - Epoch [80][500/1281] lr: 1.135e-02, eta: 13:23:52, time: 0.538, data_time: 0.000, memory: 9000, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 2.0551, loss: 2.0551 2025-05-04 00:53:17,607 - pyskl - INFO - Epoch [80][600/1281] lr: 1.133e-02, eta: 13:23:00, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 2.1722, loss: 2.1722 2025-05-04 00:54:12,288 - pyskl - INFO - Epoch [80][700/1281] lr: 1.131e-02, eta: 13:22:08, time: 0.547, data_time: 0.000, memory: 9000, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 2.1211, loss: 2.1211 2025-05-04 00:55:07,430 - pyskl - INFO - Epoch [80][800/1281] lr: 1.129e-02, eta: 13:21:16, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 2.1943, loss: 2.1943 2025-05-04 00:56:02,442 - pyskl - INFO - Epoch [80][900/1281] lr: 1.127e-02, eta: 13:20:24, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 2.1218, loss: 2.1218 2025-05-04 00:56:58,079 - pyskl - INFO - Epoch [80][1000/1281] lr: 1.125e-02, eta: 13:19:33, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 2.1216, loss: 2.1216 2025-05-04 00:57:53,770 - pyskl - INFO - Epoch [80][1100/1281] lr: 1.123e-02, eta: 13:18:42, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 2.1735, loss: 2.1735 2025-05-04 00:58:49,339 - pyskl - INFO - Epoch [80][1200/1281] lr: 1.121e-02, eta: 13:17:50, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 2.2219, loss: 2.2219 2025-05-04 00:59:33,617 - pyskl - INFO - Saving checkpoint at 80 epochs 2025-05-04 01:00:20,009 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 01:00:20,065 - pyskl - INFO - top1_acc 0.8710 top5_acc 0.9911 2025-05-04 01:00:20,065 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 01:00:20,072 - pyskl - INFO - mean_acc 0.8324 2025-05-04 01:00:20,075 - pyskl - INFO - Epoch(val) [80][533] top1_acc: 0.8710, top5_acc: 0.9911, mean_class_accuracy: 0.8324 2025-05-04 01:01:24,477 - pyskl - INFO - Epoch [81][100/1281] lr: 1.117e-02, eta: 13:15:46, time: 0.644, data_time: 0.183, memory: 9000, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 2.1663, loss: 2.1663 2025-05-04 01:02:17,258 - pyskl - INFO - Epoch [81][200/1281] lr: 1.115e-02, eta: 13:14:52, time: 0.528, data_time: 0.000, memory: 9000, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 2.0723, loss: 2.0723 2025-05-04 01:03:10,959 - pyskl - INFO - Epoch [81][300/1281] lr: 1.113e-02, eta: 13:13:59, time: 0.537, data_time: 0.000, memory: 9000, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.9684, loss: 1.9684 2025-05-04 01:04:05,341 - pyskl - INFO - Epoch [81][400/1281] lr: 1.111e-02, eta: 13:13:07, time: 0.544, data_time: 0.000, memory: 9000, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 2.1108, loss: 2.1108 2025-05-04 01:05:00,797 - pyskl - INFO - Epoch [81][500/1281] lr: 1.109e-02, eta: 13:12:15, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 2.1299, loss: 2.1299 2025-05-04 01:05:55,801 - pyskl - INFO - Epoch [81][600/1281] lr: 1.107e-02, eta: 13:11:23, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 2.0963, loss: 2.0963 2025-05-04 01:06:52,841 - pyskl - INFO - Epoch [81][700/1281] lr: 1.105e-02, eta: 13:10:33, time: 0.570, data_time: 0.000, memory: 9000, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 2.1359, loss: 2.1359 2025-05-04 01:07:49,783 - pyskl - INFO - Epoch [81][800/1281] lr: 1.103e-02, eta: 13:09:43, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 2.2397, loss: 2.2397 2025-05-04 01:08:47,046 - pyskl - INFO - Epoch [81][900/1281] lr: 1.101e-02, eta: 13:08:53, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 2.3209, loss: 2.3209 2025-05-04 01:09:45,861 - pyskl - INFO - Epoch [81][1000/1281] lr: 1.099e-02, eta: 13:08:04, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 2.1175, loss: 2.1175 2025-05-04 01:10:42,130 - pyskl - INFO - Epoch [81][1100/1281] lr: 1.097e-02, eta: 13:07:14, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 1.9887, loss: 1.9887 2025-05-04 01:11:38,008 - pyskl - INFO - Epoch [81][1200/1281] lr: 1.095e-02, eta: 13:06:22, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 2.1372, loss: 2.1372 2025-05-04 01:12:23,356 - pyskl - INFO - Saving checkpoint at 81 epochs 2025-05-04 01:13:10,056 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 01:13:10,112 - pyskl - INFO - top1_acc 0.8920 top5_acc 0.9942 2025-05-04 01:13:10,112 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 01:13:10,120 - pyskl - INFO - mean_acc 0.8553 2025-05-04 01:13:10,123 - pyskl - INFO - Epoch(val) [81][533] top1_acc: 0.8920, top5_acc: 0.9942, mean_class_accuracy: 0.8553 2025-05-04 01:14:14,330 - pyskl - INFO - Epoch [82][100/1281] lr: 1.091e-02, eta: 13:04:18, time: 0.642, data_time: 0.182, memory: 9000, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 2.0182, loss: 2.0182 2025-05-04 01:15:07,044 - pyskl - INFO - Epoch [82][200/1281] lr: 1.089e-02, eta: 13:03:25, time: 0.527, data_time: 0.000, memory: 9000, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 2.0721, loss: 2.0721 2025-05-04 01:16:01,228 - pyskl - INFO - Epoch [82][300/1281] lr: 1.087e-02, eta: 13:02:32, time: 0.542, data_time: 0.000, memory: 9000, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 2.1072, loss: 2.1072 2025-05-04 01:16:56,477 - pyskl - INFO - Epoch [82][400/1281] lr: 1.085e-02, eta: 13:01:40, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 2.0477, loss: 2.0477 2025-05-04 01:17:51,362 - pyskl - INFO - Epoch [82][500/1281] lr: 1.083e-02, eta: 13:00:48, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 2.0526, loss: 2.0526 2025-05-04 01:18:46,494 - pyskl - INFO - Epoch [82][600/1281] lr: 1.081e-02, eta: 12:59:57, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 2.0979, loss: 2.0979 2025-05-04 01:19:41,792 - pyskl - INFO - Epoch [82][700/1281] lr: 1.079e-02, eta: 12:59:05, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 2.1396, loss: 2.1396 2025-05-04 01:20:36,880 - pyskl - INFO - Epoch [82][800/1281] lr: 1.077e-02, eta: 12:58:13, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 2.0662, loss: 2.0662 2025-05-04 01:21:32,022 - pyskl - INFO - Epoch [82][900/1281] lr: 1.075e-02, eta: 12:57:21, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 2.0751, loss: 2.0751 2025-05-04 01:22:26,657 - pyskl - INFO - Epoch [82][1000/1281] lr: 1.073e-02, eta: 12:56:29, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 2.1050, loss: 2.1050 2025-05-04 01:23:21,938 - pyskl - INFO - Epoch [82][1100/1281] lr: 1.071e-02, eta: 12:55:38, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 2.1952, loss: 2.1952 2025-05-04 01:24:17,227 - pyskl - INFO - Epoch [82][1200/1281] lr: 1.069e-02, eta: 12:54:46, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 2.1575, loss: 2.1575 2025-05-04 01:25:02,353 - pyskl - INFO - Saving checkpoint at 82 epochs 2025-05-04 01:25:48,351 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 01:25:48,407 - pyskl - INFO - top1_acc 0.8896 top5_acc 0.9901 2025-05-04 01:25:48,407 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 01:25:48,416 - pyskl - INFO - mean_acc 0.8395 2025-05-04 01:25:48,419 - pyskl - INFO - Epoch(val) [82][533] top1_acc: 0.8896, top5_acc: 0.9901, mean_class_accuracy: 0.8395 2025-05-04 01:26:51,967 - pyskl - INFO - Epoch [83][100/1281] lr: 1.065e-02, eta: 12:52:42, time: 0.635, data_time: 0.181, memory: 9000, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 2.1126, loss: 2.1126 2025-05-04 01:27:44,626 - pyskl - INFO - Epoch [83][200/1281] lr: 1.063e-02, eta: 12:51:48, time: 0.527, data_time: 0.000, memory: 9000, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 2.0091, loss: 2.0091 2025-05-04 01:28:39,165 - pyskl - INFO - Epoch [83][300/1281] lr: 1.061e-02, eta: 12:50:56, time: 0.545, data_time: 0.000, memory: 9000, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 2.0859, loss: 2.0859 2025-05-04 01:29:36,639 - pyskl - INFO - Epoch [83][400/1281] lr: 1.059e-02, eta: 12:50:06, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 2.0620, loss: 2.0620 2025-05-04 01:30:33,935 - pyskl - INFO - Epoch [83][500/1281] lr: 1.057e-02, eta: 12:49:16, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 2.0865, loss: 2.0865 2025-05-04 01:31:31,456 - pyskl - INFO - Epoch [83][600/1281] lr: 1.055e-02, eta: 12:48:26, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 2.0353, loss: 2.0353 2025-05-04 01:32:28,040 - pyskl - INFO - Epoch [83][700/1281] lr: 1.053e-02, eta: 12:47:36, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 2.1621, loss: 2.1621 2025-05-04 01:33:26,080 - pyskl - INFO - Epoch [83][800/1281] lr: 1.051e-02, eta: 12:46:46, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 2.0980, loss: 2.0980 2025-05-04 01:34:24,359 - pyskl - INFO - Epoch [83][900/1281] lr: 1.049e-02, eta: 12:45:57, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 2.1661, loss: 2.1661 2025-05-04 01:35:22,283 - pyskl - INFO - Epoch [83][1000/1281] lr: 1.047e-02, eta: 12:45:08, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 2.0781, loss: 2.0781 2025-05-04 01:36:19,570 - pyskl - INFO - Epoch [83][1100/1281] lr: 1.045e-02, eta: 12:44:17, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9431, top5_acc: 1.0000, loss_cls: 2.2348, loss: 2.2348 2025-05-04 01:37:17,597 - pyskl - INFO - Epoch [83][1200/1281] lr: 1.043e-02, eta: 12:43:28, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 2.2209, loss: 2.2209 2025-05-04 01:38:04,501 - pyskl - INFO - Saving checkpoint at 83 epochs 2025-05-04 01:38:53,031 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 01:38:53,087 - pyskl - INFO - top1_acc 0.8958 top5_acc 0.9921 2025-05-04 01:38:53,087 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 01:38:53,093 - pyskl - INFO - mean_acc 0.8727 2025-05-04 01:38:53,159 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_71.pth was removed 2025-05-04 01:38:54,793 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_83.pth. 2025-05-04 01:38:54,794 - pyskl - INFO - Best top1_acc is 0.8958 at 83 epoch. 2025-05-04 01:38:54,799 - pyskl - INFO - Epoch(val) [83][533] top1_acc: 0.8958, top5_acc: 0.9921, mean_class_accuracy: 0.8727 2025-05-04 01:40:00,057 - pyskl - INFO - Epoch [84][100/1281] lr: 1.040e-02, eta: 12:41:26, time: 0.653, data_time: 0.182, memory: 9000, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 2.0186, loss: 2.0186 2025-05-04 01:40:54,620 - pyskl - INFO - Epoch [84][200/1281] lr: 1.038e-02, eta: 12:40:34, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 2.0698, loss: 2.0698 2025-05-04 01:41:51,448 - pyskl - INFO - Epoch [84][300/1281] lr: 1.036e-02, eta: 12:39:43, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 1.9922, loss: 1.9922 2025-05-04 01:42:48,058 - pyskl - INFO - Epoch [84][400/1281] lr: 1.034e-02, eta: 12:38:53, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 2.0596, loss: 2.0596 2025-05-04 01:43:43,336 - pyskl - INFO - Epoch [84][500/1281] lr: 1.031e-02, eta: 12:38:01, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 2.1116, loss: 2.1116 2025-05-04 01:44:38,221 - pyskl - INFO - Epoch [84][600/1281] lr: 1.029e-02, eta: 12:37:09, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 2.0813, loss: 2.0813 2025-05-04 01:45:33,177 - pyskl - INFO - Epoch [84][700/1281] lr: 1.027e-02, eta: 12:36:17, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 2.1643, loss: 2.1643 2025-05-04 01:46:28,560 - pyskl - INFO - Epoch [84][800/1281] lr: 1.025e-02, eta: 12:35:25, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 2.0497, loss: 2.0497 2025-05-04 01:47:24,321 - pyskl - INFO - Epoch [84][900/1281] lr: 1.023e-02, eta: 12:34:34, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 2.1048, loss: 2.1048 2025-05-04 01:48:20,341 - pyskl - INFO - Epoch [84][1000/1281] lr: 1.021e-02, eta: 12:33:43, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 2.1587, loss: 2.1587 2025-05-04 01:49:15,294 - pyskl - INFO - Epoch [84][1100/1281] lr: 1.019e-02, eta: 12:32:51, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 2.0865, loss: 2.0865 2025-05-04 01:50:10,219 - pyskl - INFO - Epoch [84][1200/1281] lr: 1.017e-02, eta: 12:31:59, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 2.0717, loss: 2.0717 2025-05-04 01:50:55,244 - pyskl - INFO - Saving checkpoint at 84 epochs 2025-05-04 01:51:42,011 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 01:51:42,066 - pyskl - INFO - top1_acc 0.8853 top5_acc 0.9908 2025-05-04 01:51:42,066 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 01:51:42,073 - pyskl - INFO - mean_acc 0.8538 2025-05-04 01:51:42,076 - pyskl - INFO - Epoch(val) [84][533] top1_acc: 0.8853, top5_acc: 0.9908, mean_class_accuracy: 0.8538 2025-05-04 01:52:46,512 - pyskl - INFO - Epoch [85][100/1281] lr: 1.014e-02, eta: 12:29:57, time: 0.644, data_time: 0.184, memory: 9000, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 2.1222, loss: 2.1222 2025-05-04 01:53:39,120 - pyskl - INFO - Epoch [85][200/1281] lr: 1.012e-02, eta: 12:29:03, time: 0.526, data_time: 0.000, memory: 9000, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.9721, loss: 1.9721 2025-05-04 01:54:34,050 - pyskl - INFO - Epoch [85][300/1281] lr: 1.010e-02, eta: 12:28:11, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 2.0432, loss: 2.0432 2025-05-04 01:55:30,143 - pyskl - INFO - Epoch [85][400/1281] lr: 1.008e-02, eta: 12:27:20, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 2.1066, loss: 2.1066 2025-05-04 01:56:25,859 - pyskl - INFO - Epoch [85][500/1281] lr: 1.006e-02, eta: 12:26:29, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 2.0623, loss: 2.0623 2025-05-04 01:57:21,769 - pyskl - INFO - Epoch [85][600/1281] lr: 1.004e-02, eta: 12:25:38, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.9519, loss: 1.9519 2025-05-04 01:58:16,920 - pyskl - INFO - Epoch [85][700/1281] lr: 1.002e-02, eta: 12:24:46, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 2.1418, loss: 2.1418 2025-05-04 01:59:11,939 - pyskl - INFO - Epoch [85][800/1281] lr: 9.998e-03, eta: 12:23:54, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 2.0388, loss: 2.0388 2025-05-04 02:00:07,542 - pyskl - INFO - Epoch [85][900/1281] lr: 9.978e-03, eta: 12:23:02, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 2.0724, loss: 2.0724 2025-05-04 02:01:02,630 - pyskl - INFO - Epoch [85][1000/1281] lr: 9.958e-03, eta: 12:22:10, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 2.0038, loss: 2.0038 2025-05-04 02:01:57,488 - pyskl - INFO - Epoch [85][1100/1281] lr: 9.937e-03, eta: 12:21:18, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 2.1007, loss: 2.1007 2025-05-04 02:02:52,376 - pyskl - INFO - Epoch [85][1200/1281] lr: 9.917e-03, eta: 12:20:26, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 2.0982, loss: 2.0982 2025-05-04 02:03:38,260 - pyskl - INFO - Saving checkpoint at 85 epochs 2025-05-04 02:04:25,486 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 02:04:25,548 - pyskl - INFO - top1_acc 0.8956 top5_acc 0.9906 2025-05-04 02:04:25,548 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 02:04:25,558 - pyskl - INFO - mean_acc 0.8696 2025-05-04 02:04:25,562 - pyskl - INFO - Epoch(val) [85][533] top1_acc: 0.8956, top5_acc: 0.9906, mean_class_accuracy: 0.8696 2025-05-04 02:05:31,512 - pyskl - INFO - Epoch [86][100/1281] lr: 9.881e-03, eta: 12:18:26, time: 0.659, data_time: 0.186, memory: 9000, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9286, loss: 1.9286 2025-05-04 02:06:27,264 - pyskl - INFO - Epoch [86][200/1281] lr: 9.861e-03, eta: 12:17:35, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9815, loss: 1.9815 2025-05-04 02:07:25,832 - pyskl - INFO - Epoch [86][300/1281] lr: 9.841e-03, eta: 12:16:46, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.9894, loss: 1.9894 2025-05-04 02:08:24,300 - pyskl - INFO - Epoch [86][400/1281] lr: 9.821e-03, eta: 12:15:56, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 2.0473, loss: 2.0473 2025-05-04 02:09:22,436 - pyskl - INFO - Epoch [86][500/1281] lr: 9.801e-03, eta: 12:15:07, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 2.1968, loss: 2.1968 2025-05-04 02:10:19,730 - pyskl - INFO - Epoch [86][600/1281] lr: 9.781e-03, eta: 12:14:16, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 2.0051, loss: 2.0051 2025-05-04 02:11:15,532 - pyskl - INFO - Epoch [86][700/1281] lr: 9.762e-03, eta: 12:13:25, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 2.0243, loss: 2.0243 2025-05-04 02:12:11,019 - pyskl - INFO - Epoch [86][800/1281] lr: 9.742e-03, eta: 12:12:33, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 2.0431, loss: 2.0431 2025-05-04 02:13:06,220 - pyskl - INFO - Epoch [86][900/1281] lr: 9.722e-03, eta: 12:11:42, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 2.0306, loss: 2.0306 2025-05-04 02:14:02,286 - pyskl - INFO - Epoch [86][1000/1281] lr: 9.702e-03, eta: 12:10:50, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 2.1229, loss: 2.1229 2025-05-04 02:14:57,709 - pyskl - INFO - Epoch [86][1100/1281] lr: 9.682e-03, eta: 12:09:59, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 2.0628, loss: 2.0628 2025-05-04 02:15:53,052 - pyskl - INFO - Epoch [86][1200/1281] lr: 9.662e-03, eta: 12:09:07, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 2.0533, loss: 2.0533 2025-05-04 02:16:39,058 - pyskl - INFO - Saving checkpoint at 86 epochs 2025-05-04 02:17:25,563 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 02:17:25,620 - pyskl - INFO - top1_acc 0.8816 top5_acc 0.9911 2025-05-04 02:17:25,620 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 02:17:25,627 - pyskl - INFO - mean_acc 0.8502 2025-05-04 02:17:25,630 - pyskl - INFO - Epoch(val) [86][533] top1_acc: 0.8816, top5_acc: 0.9911, mean_class_accuracy: 0.8502 2025-05-04 02:18:30,007 - pyskl - INFO - Epoch [87][100/1281] lr: 9.626e-03, eta: 12:07:06, time: 0.644, data_time: 0.181, memory: 9000, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 2.0322, loss: 2.0322 2025-05-04 02:19:22,908 - pyskl - INFO - Epoch [87][200/1281] lr: 9.606e-03, eta: 12:06:13, time: 0.529, data_time: 0.000, memory: 9000, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.9415, loss: 1.9415 2025-05-04 02:20:18,206 - pyskl - INFO - Epoch [87][300/1281] lr: 9.586e-03, eta: 12:05:21, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 2.0069, loss: 2.0069 2025-05-04 02:21:13,290 - pyskl - INFO - Epoch [87][400/1281] lr: 9.566e-03, eta: 12:04:29, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9779, loss: 1.9779 2025-05-04 02:22:08,755 - pyskl - INFO - Epoch [87][500/1281] lr: 9.546e-03, eta: 12:03:37, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 2.0548, loss: 2.0548 2025-05-04 02:23:04,409 - pyskl - INFO - Epoch [87][600/1281] lr: 9.527e-03, eta: 12:02:46, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.9909, loss: 1.9909 2025-05-04 02:23:58,906 - pyskl - INFO - Epoch [87][700/1281] lr: 9.507e-03, eta: 12:01:54, time: 0.545, data_time: 0.000, memory: 9000, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 2.0978, loss: 2.0978 2025-05-04 02:24:53,660 - pyskl - INFO - Epoch [87][800/1281] lr: 9.487e-03, eta: 12:01:01, time: 0.548, data_time: 0.000, memory: 9000, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 2.0358, loss: 2.0358 2025-05-04 02:25:49,177 - pyskl - INFO - Epoch [87][900/1281] lr: 9.467e-03, eta: 12:00:10, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 2.0468, loss: 2.0468 2025-05-04 02:26:44,817 - pyskl - INFO - Epoch [87][1000/1281] lr: 9.447e-03, eta: 11:59:18, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 2.0591, loss: 2.0591 2025-05-04 02:27:41,636 - pyskl - INFO - Epoch [87][1100/1281] lr: 9.427e-03, eta: 11:58:27, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 1.9534, loss: 1.9534 2025-05-04 02:28:39,188 - pyskl - INFO - Epoch [87][1200/1281] lr: 9.408e-03, eta: 11:57:37, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 2.0654, loss: 2.0654 2025-05-04 02:29:26,367 - pyskl - INFO - Saving checkpoint at 87 epochs 2025-05-04 02:30:14,990 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 02:30:15,046 - pyskl - INFO - top1_acc 0.8679 top5_acc 0.9918 2025-05-04 02:30:15,046 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 02:30:15,053 - pyskl - INFO - mean_acc 0.8407 2025-05-04 02:30:15,055 - pyskl - INFO - Epoch(val) [87][533] top1_acc: 0.8679, top5_acc: 0.9918, mean_class_accuracy: 0.8407 2025-05-04 02:31:21,231 - pyskl - INFO - Epoch [88][100/1281] lr: 9.372e-03, eta: 11:55:39, time: 0.662, data_time: 0.183, memory: 9000, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 2.0118, loss: 2.0118 2025-05-04 02:32:16,782 - pyskl - INFO - Epoch [88][200/1281] lr: 9.352e-03, eta: 11:54:47, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.9303, loss: 1.9303 2025-05-04 02:33:13,660 - pyskl - INFO - Epoch [88][300/1281] lr: 9.332e-03, eta: 11:53:56, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9168, loss: 1.9168 2025-05-04 02:34:10,610 - pyskl - INFO - Epoch [88][400/1281] lr: 9.312e-03, eta: 11:53:06, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.9570, loss: 1.9570 2025-05-04 02:35:08,521 - pyskl - INFO - Epoch [88][500/1281] lr: 9.293e-03, eta: 11:52:16, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 2.0265, loss: 2.0265 2025-05-04 02:36:06,363 - pyskl - INFO - Epoch [88][600/1281] lr: 9.273e-03, eta: 11:51:26, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 2.0218, loss: 2.0218 2025-05-04 02:37:03,972 - pyskl - INFO - Epoch [88][700/1281] lr: 9.253e-03, eta: 11:50:36, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 2.0313, loss: 2.0313 2025-05-04 02:38:02,430 - pyskl - INFO - Epoch [88][800/1281] lr: 9.233e-03, eta: 11:49:46, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 2.0066, loss: 2.0066 2025-05-04 02:39:00,096 - pyskl - INFO - Epoch [88][900/1281] lr: 9.214e-03, eta: 11:48:56, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 2.0113, loss: 2.0113 2025-05-04 02:39:58,465 - pyskl - INFO - Epoch [88][1000/1281] lr: 9.194e-03, eta: 11:48:06, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.9863, loss: 1.9863 2025-05-04 02:40:56,640 - pyskl - INFO - Epoch [88][1100/1281] lr: 9.174e-03, eta: 11:47:16, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 2.1117, loss: 2.1117 2025-05-04 02:41:54,845 - pyskl - INFO - Epoch [88][1200/1281] lr: 9.155e-03, eta: 11:46:26, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.9640, loss: 1.9640 2025-05-04 02:42:41,969 - pyskl - INFO - Saving checkpoint at 88 epochs 2025-05-04 02:43:30,261 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 02:43:30,318 - pyskl - INFO - top1_acc 0.8672 top5_acc 0.9879 2025-05-04 02:43:30,318 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 02:43:30,326 - pyskl - INFO - mean_acc 0.8227 2025-05-04 02:43:30,329 - pyskl - INFO - Epoch(val) [88][533] top1_acc: 0.8672, top5_acc: 0.9879, mean_class_accuracy: 0.8227 2025-05-04 02:44:36,421 - pyskl - INFO - Epoch [89][100/1281] lr: 9.119e-03, eta: 11:44:28, time: 0.661, data_time: 0.184, memory: 9000, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9739, loss: 1.9739 2025-05-04 02:45:31,520 - pyskl - INFO - Epoch [89][200/1281] lr: 9.099e-03, eta: 11:43:36, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.9716, loss: 1.9716 2025-05-04 02:46:29,158 - pyskl - INFO - Epoch [89][300/1281] lr: 9.080e-03, eta: 11:42:46, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 2.0309, loss: 2.0309 2025-05-04 02:47:26,919 - pyskl - INFO - Epoch [89][400/1281] lr: 9.060e-03, eta: 11:41:56, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9918, loss: 1.9918 2025-05-04 02:48:24,786 - pyskl - INFO - Epoch [89][500/1281] lr: 9.040e-03, eta: 11:41:06, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 2.0110, loss: 2.0110 2025-05-04 02:49:22,691 - pyskl - INFO - Epoch [89][600/1281] lr: 9.021e-03, eta: 11:40:16, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 2.0246, loss: 2.0246 2025-05-04 02:50:20,239 - pyskl - INFO - Epoch [89][700/1281] lr: 9.001e-03, eta: 11:39:25, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 2.0039, loss: 2.0039 2025-05-04 02:51:17,759 - pyskl - INFO - Epoch [89][800/1281] lr: 8.982e-03, eta: 11:38:35, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.9922, loss: 1.9922 2025-05-04 02:52:16,753 - pyskl - INFO - Epoch [89][900/1281] lr: 8.962e-03, eta: 11:37:46, time: 0.590, data_time: 0.000, memory: 9000, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9549, loss: 1.9549 2025-05-04 02:53:15,234 - pyskl - INFO - Epoch [89][1000/1281] lr: 8.942e-03, eta: 11:36:56, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.9175, loss: 1.9175 2025-05-04 02:54:12,973 - pyskl - INFO - Epoch [89][1100/1281] lr: 8.923e-03, eta: 11:36:06, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 2.0811, loss: 2.0811 2025-05-04 02:55:10,865 - pyskl - INFO - Epoch [89][1200/1281] lr: 8.903e-03, eta: 11:35:15, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 2.0255, loss: 2.0255 2025-05-04 02:55:57,744 - pyskl - INFO - Saving checkpoint at 89 epochs 2025-05-04 02:56:46,142 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 02:56:46,199 - pyskl - INFO - top1_acc 0.8630 top5_acc 0.9869 2025-05-04 02:56:46,199 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 02:56:46,207 - pyskl - INFO - mean_acc 0.8340 2025-05-04 02:56:46,210 - pyskl - INFO - Epoch(val) [89][533] top1_acc: 0.8630, top5_acc: 0.9869, mean_class_accuracy: 0.8340 2025-05-04 02:57:52,487 - pyskl - INFO - Epoch [90][100/1281] lr: 8.868e-03, eta: 11:33:18, time: 0.663, data_time: 0.182, memory: 9000, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.9562, loss: 1.9562 2025-05-04 02:58:47,600 - pyskl - INFO - Epoch [90][200/1281] lr: 8.848e-03, eta: 11:32:26, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.9817, loss: 1.9817 2025-05-04 02:59:44,219 - pyskl - INFO - Epoch [90][300/1281] lr: 8.829e-03, eta: 11:31:35, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.9075, loss: 1.9075 2025-05-04 03:00:40,942 - pyskl - INFO - Epoch [90][400/1281] lr: 8.809e-03, eta: 11:30:44, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.9466, loss: 1.9466 2025-05-04 03:01:38,939 - pyskl - INFO - Epoch [90][500/1281] lr: 8.790e-03, eta: 11:29:54, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.9333, loss: 1.9333 2025-05-04 03:02:37,010 - pyskl - INFO - Epoch [90][600/1281] lr: 8.770e-03, eta: 11:29:04, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.9316, loss: 1.9316 2025-05-04 03:03:34,352 - pyskl - INFO - Epoch [90][700/1281] lr: 8.751e-03, eta: 11:28:13, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.9943, loss: 1.9943 2025-05-04 03:04:33,155 - pyskl - INFO - Epoch [90][800/1281] lr: 8.731e-03, eta: 11:27:24, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.9899, loss: 1.9899 2025-05-04 03:05:34,338 - pyskl - INFO - Epoch [90][900/1281] lr: 8.712e-03, eta: 11:26:36, time: 0.612, data_time: 0.000, memory: 9000, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 2.0189, loss: 2.0189 2025-05-04 03:06:34,176 - pyskl - INFO - Epoch [90][1000/1281] lr: 8.692e-03, eta: 11:25:47, time: 0.598, data_time: 0.000, memory: 9000, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9737, loss: 1.9737 2025-05-04 03:07:35,544 - pyskl - INFO - Epoch [90][1100/1281] lr: 8.673e-03, eta: 11:24:59, time: 0.614, data_time: 0.000, memory: 9000, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9461, loss: 1.9461 2025-05-04 03:08:37,476 - pyskl - INFO - Epoch [90][1200/1281] lr: 8.653e-03, eta: 11:24:11, time: 0.619, data_time: 0.000, memory: 9000, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 1.9885, loss: 1.9885 2025-05-04 03:09:27,247 - pyskl - INFO - Saving checkpoint at 90 epochs 2025-05-04 03:10:16,197 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 03:10:16,253 - pyskl - INFO - top1_acc 0.8866 top5_acc 0.9926 2025-05-04 03:10:16,253 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 03:10:16,260 - pyskl - INFO - mean_acc 0.8550 2025-05-04 03:10:16,262 - pyskl - INFO - Epoch(val) [90][533] top1_acc: 0.8866, top5_acc: 0.9926, mean_class_accuracy: 0.8550 2025-05-04 03:11:22,821 - pyskl - INFO - Epoch [91][100/1281] lr: 8.618e-03, eta: 11:22:15, time: 0.666, data_time: 0.183, memory: 9000, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.8667, loss: 1.8667 2025-05-04 03:12:18,615 - pyskl - INFO - Epoch [91][200/1281] lr: 8.599e-03, eta: 11:21:23, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.9470, loss: 1.9470 2025-05-04 03:13:15,876 - pyskl - INFO - Epoch [91][300/1281] lr: 8.579e-03, eta: 11:20:32, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8690, loss: 1.8690 2025-05-04 03:14:13,817 - pyskl - INFO - Epoch [91][400/1281] lr: 8.560e-03, eta: 11:19:42, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9192, loss: 1.9192 2025-05-04 03:15:11,538 - pyskl - INFO - Epoch [91][500/1281] lr: 8.540e-03, eta: 11:18:51, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 2.0331, loss: 2.0331 2025-05-04 03:16:09,626 - pyskl - INFO - Epoch [91][600/1281] lr: 8.521e-03, eta: 11:18:01, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 2.0525, loss: 2.0525 2025-05-04 03:17:07,105 - pyskl - INFO - Epoch [91][700/1281] lr: 8.502e-03, eta: 11:17:11, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.9656, loss: 1.9656 2025-05-04 03:18:06,680 - pyskl - INFO - Epoch [91][800/1281] lr: 8.482e-03, eta: 11:16:21, time: 0.596, data_time: 0.000, memory: 9000, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 2.0256, loss: 2.0256 2025-05-04 03:19:04,991 - pyskl - INFO - Epoch [91][900/1281] lr: 8.463e-03, eta: 11:15:31, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.9992, loss: 1.9992 2025-05-04 03:20:04,252 - pyskl - INFO - Epoch [91][1000/1281] lr: 8.444e-03, eta: 11:14:42, time: 0.593, data_time: 0.000, memory: 9000, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 2.0263, loss: 2.0263 2025-05-04 03:21:03,520 - pyskl - INFO - Epoch [91][1100/1281] lr: 8.424e-03, eta: 11:13:52, time: 0.593, data_time: 0.000, memory: 9000, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 2.0231, loss: 2.0231 2025-05-04 03:22:02,214 - pyskl - INFO - Epoch [91][1200/1281] lr: 8.405e-03, eta: 11:13:02, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 2.0277, loss: 2.0277 2025-05-04 03:22:49,546 - pyskl - INFO - Saving checkpoint at 91 epochs 2025-05-04 03:23:38,043 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 03:23:38,100 - pyskl - INFO - top1_acc 0.8998 top5_acc 0.9935 2025-05-04 03:23:38,100 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 03:23:38,107 - pyskl - INFO - mean_acc 0.8743 2025-05-04 03:23:38,175 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_83.pth was removed 2025-05-04 03:23:39,731 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. 2025-05-04 03:23:39,732 - pyskl - INFO - Best top1_acc is 0.8998 at 91 epoch. 2025-05-04 03:23:39,737 - pyskl - INFO - Epoch(val) [91][533] top1_acc: 0.8998, top5_acc: 0.9935, mean_class_accuracy: 0.8743 2025-05-04 03:24:45,834 - pyskl - INFO - Epoch [92][100/1281] lr: 8.370e-03, eta: 11:11:06, time: 0.661, data_time: 0.181, memory: 9000, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.9452, loss: 1.9452 2025-05-04 03:25:41,010 - pyskl - INFO - Epoch [92][200/1281] lr: 8.351e-03, eta: 11:10:14, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.9461, loss: 1.9461 2025-05-04 03:26:39,770 - pyskl - INFO - Epoch [92][300/1281] lr: 8.332e-03, eta: 11:09:24, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9238, loss: 1.9238 2025-05-04 03:27:37,450 - pyskl - INFO - Epoch [92][400/1281] lr: 8.312e-03, eta: 11:08:33, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.9895, loss: 1.9895 2025-05-04 03:28:35,071 - pyskl - INFO - Epoch [92][500/1281] lr: 8.293e-03, eta: 11:07:43, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.9384, loss: 1.9384 2025-05-04 03:29:33,493 - pyskl - INFO - Epoch [92][600/1281] lr: 8.274e-03, eta: 11:06:52, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9302, loss: 1.9302 2025-05-04 03:30:31,798 - pyskl - INFO - Epoch [92][700/1281] lr: 8.255e-03, eta: 11:06:02, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.9258, loss: 1.9258 2025-05-04 03:31:30,650 - pyskl - INFO - Epoch [92][800/1281] lr: 8.235e-03, eta: 11:05:12, time: 0.589, data_time: 0.000, memory: 9000, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.9835, loss: 1.9835 2025-05-04 03:32:29,234 - pyskl - INFO - Epoch [92][900/1281] lr: 8.216e-03, eta: 11:04:22, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.9583, loss: 1.9583 2025-05-04 03:33:27,560 - pyskl - INFO - Epoch [92][1000/1281] lr: 8.197e-03, eta: 11:03:32, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9919, loss: 1.9919 2025-05-04 03:34:26,770 - pyskl - INFO - Epoch [92][1100/1281] lr: 8.178e-03, eta: 11:02:42, time: 0.592, data_time: 0.000, memory: 9000, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.9936, loss: 1.9936 2025-05-04 03:35:25,093 - pyskl - INFO - Epoch [92][1200/1281] lr: 8.159e-03, eta: 11:01:52, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 2.0481, loss: 2.0481 2025-05-04 03:36:13,090 - pyskl - INFO - Saving checkpoint at 92 epochs 2025-05-04 03:37:02,080 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 03:37:02,137 - pyskl - INFO - top1_acc 0.8779 top5_acc 0.9904 2025-05-04 03:37:02,137 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 03:37:02,144 - pyskl - INFO - mean_acc 0.8406 2025-05-04 03:37:02,146 - pyskl - INFO - Epoch(val) [92][533] top1_acc: 0.8779, top5_acc: 0.9904, mean_class_accuracy: 0.8406 2025-05-04 03:38:09,109 - pyskl - INFO - Epoch [93][100/1281] lr: 8.124e-03, eta: 10:59:57, time: 0.670, data_time: 0.183, memory: 9000, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 2.0272, loss: 2.0272 2025-05-04 03:39:05,418 - pyskl - INFO - Epoch [93][200/1281] lr: 8.105e-03, eta: 10:59:05, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.9917, loss: 1.9917 2025-05-04 03:40:03,335 - pyskl - INFO - Epoch [93][300/1281] lr: 8.086e-03, eta: 10:58:15, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9704, loss: 1.9704 2025-05-04 03:41:00,919 - pyskl - INFO - Epoch [93][400/1281] lr: 8.067e-03, eta: 10:57:24, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.9498, loss: 1.9498 2025-05-04 03:41:58,927 - pyskl - INFO - Epoch [93][500/1281] lr: 8.047e-03, eta: 10:56:34, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9465, loss: 1.9465 2025-05-04 03:42:56,816 - pyskl - INFO - Epoch [93][600/1281] lr: 8.028e-03, eta: 10:55:43, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9668, loss: 1.9668 2025-05-04 03:43:54,901 - pyskl - INFO - Epoch [93][700/1281] lr: 8.009e-03, eta: 10:54:52, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9436, loss: 1.9436 2025-05-04 03:44:52,657 - pyskl - INFO - Epoch [93][800/1281] lr: 7.990e-03, eta: 10:54:02, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9475, loss: 1.9475 2025-05-04 03:45:50,840 - pyskl - INFO - Epoch [93][900/1281] lr: 7.971e-03, eta: 10:53:11, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.9606, loss: 1.9606 2025-05-04 03:46:49,132 - pyskl - INFO - Epoch [93][1000/1281] lr: 7.952e-03, eta: 10:52:21, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.9566, loss: 1.9566 2025-05-04 03:47:47,845 - pyskl - INFO - Epoch [93][1100/1281] lr: 7.933e-03, eta: 10:51:31, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 1.9929, loss: 1.9929 2025-05-04 03:48:46,312 - pyskl - INFO - Epoch [93][1200/1281] lr: 7.914e-03, eta: 10:50:41, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 2.0161, loss: 2.0161 2025-05-04 03:49:34,708 - pyskl - INFO - Saving checkpoint at 93 epochs 2025-05-04 03:50:23,128 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 03:50:23,184 - pyskl - INFO - top1_acc 0.8869 top5_acc 0.9921 2025-05-04 03:50:23,184 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 03:50:23,191 - pyskl - INFO - mean_acc 0.8543 2025-05-04 03:50:23,193 - pyskl - INFO - Epoch(val) [93][533] top1_acc: 0.8869, top5_acc: 0.9921, mean_class_accuracy: 0.8543 2025-05-04 03:51:28,525 - pyskl - INFO - Epoch [94][100/1281] lr: 7.880e-03, eta: 10:48:45, time: 0.653, data_time: 0.180, memory: 9000, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9500, loss: 1.9500 2025-05-04 03:52:22,264 - pyskl - INFO - Epoch [94][200/1281] lr: 7.861e-03, eta: 10:47:52, time: 0.537, data_time: 0.000, memory: 9000, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9685, loss: 1.9685 2025-05-04 03:53:17,227 - pyskl - INFO - Epoch [94][300/1281] lr: 7.842e-03, eta: 10:46:59, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.9071, loss: 1.9071 2025-05-04 03:54:12,379 - pyskl - INFO - Epoch [94][400/1281] lr: 7.823e-03, eta: 10:46:07, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.8621, loss: 1.8621 2025-05-04 03:55:07,588 - pyskl - INFO - Epoch [94][500/1281] lr: 7.804e-03, eta: 10:45:15, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8679, loss: 1.8679 2025-05-04 03:56:03,666 - pyskl - INFO - Epoch [94][600/1281] lr: 7.785e-03, eta: 10:44:23, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.9029, loss: 1.9029 2025-05-04 03:56:59,203 - pyskl - INFO - Epoch [94][700/1281] lr: 7.766e-03, eta: 10:43:31, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.9831, loss: 1.9831 2025-05-04 03:57:55,223 - pyskl - INFO - Epoch [94][800/1281] lr: 7.747e-03, eta: 10:42:39, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 1.9419, loss: 1.9419 2025-05-04 03:58:50,727 - pyskl - INFO - Epoch [94][900/1281] lr: 7.728e-03, eta: 10:41:47, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.9157, loss: 1.9157 2025-05-04 03:59:46,278 - pyskl - INFO - Epoch [94][1000/1281] lr: 7.709e-03, eta: 10:40:55, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 2.0018, loss: 2.0018 2025-05-04 04:00:42,105 - pyskl - INFO - Epoch [94][1100/1281] lr: 7.690e-03, eta: 10:40:03, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 2.0564, loss: 2.0564 2025-05-04 04:01:38,284 - pyskl - INFO - Epoch [94][1200/1281] lr: 7.672e-03, eta: 10:39:11, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.9571, loss: 1.9571 2025-05-04 04:02:23,285 - pyskl - INFO - Saving checkpoint at 94 epochs 2025-05-04 04:03:09,806 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 04:03:09,864 - pyskl - INFO - top1_acc 0.9027 top5_acc 0.9930 2025-05-04 04:03:09,864 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 04:03:09,871 - pyskl - INFO - mean_acc 0.8702 2025-05-04 04:03:09,933 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_91.pth was removed 2025-05-04 04:03:11,509 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. 2025-05-04 04:03:11,509 - pyskl - INFO - Best top1_acc is 0.9027 at 94 epoch. 2025-05-04 04:03:11,513 - pyskl - INFO - Epoch(val) [94][533] top1_acc: 0.9027, top5_acc: 0.9930, mean_class_accuracy: 0.8702 2025-05-04 04:04:18,001 - pyskl - INFO - Epoch [95][100/1281] lr: 7.637e-03, eta: 10:37:16, time: 0.665, data_time: 0.181, memory: 9000, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.8214, loss: 1.8214 2025-05-04 04:05:11,558 - pyskl - INFO - Epoch [95][200/1281] lr: 7.619e-03, eta: 10:36:23, time: 0.536, data_time: 0.000, memory: 9000, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.8450, loss: 1.8450 2025-05-04 04:06:08,394 - pyskl - INFO - Epoch [95][300/1281] lr: 7.600e-03, eta: 10:35:32, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.8548, loss: 1.8548 2025-05-04 04:07:07,251 - pyskl - INFO - Epoch [95][400/1281] lr: 7.581e-03, eta: 10:34:42, time: 0.589, data_time: 0.000, memory: 9000, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.8846, loss: 1.8846 2025-05-04 04:08:04,283 - pyskl - INFO - Epoch [95][500/1281] lr: 7.562e-03, eta: 10:33:50, time: 0.570, data_time: 0.000, memory: 9000, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.9375, loss: 1.9375 2025-05-04 04:09:01,415 - pyskl - INFO - Epoch [95][600/1281] lr: 7.543e-03, eta: 10:32:59, time: 0.571, data_time: 0.000, memory: 9000, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.8954, loss: 1.8954 2025-05-04 04:09:56,730 - pyskl - INFO - Epoch [95][700/1281] lr: 7.525e-03, eta: 10:32:07, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 2025-05-04 04:10:51,955 - pyskl - INFO - Epoch [95][800/1281] lr: 7.506e-03, eta: 10:31:15, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.9335, loss: 1.9335 2025-05-04 04:11:47,151 - pyskl - INFO - Epoch [95][900/1281] lr: 7.487e-03, eta: 10:30:22, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.9268, loss: 1.9268 2025-05-04 04:12:43,498 - pyskl - INFO - Epoch [95][1000/1281] lr: 7.468e-03, eta: 10:29:31, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.9139, loss: 1.9139 2025-05-04 04:13:39,402 - pyskl - INFO - Epoch [95][1100/1281] lr: 7.450e-03, eta: 10:28:39, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8548, loss: 1.8548 2025-05-04 04:14:35,438 - pyskl - INFO - Epoch [95][1200/1281] lr: 7.431e-03, eta: 10:27:47, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 1.9034, loss: 1.9034 2025-05-04 04:15:20,542 - pyskl - INFO - Saving checkpoint at 95 epochs 2025-05-04 04:16:07,409 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 04:16:07,466 - pyskl - INFO - top1_acc 0.9069 top5_acc 0.9944 2025-05-04 04:16:07,466 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 04:16:07,473 - pyskl - INFO - mean_acc 0.8834 2025-05-04 04:16:07,555 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_94.pth was removed 2025-05-04 04:16:09,207 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_95.pth. 2025-05-04 04:16:09,207 - pyskl - INFO - Best top1_acc is 0.9069 at 95 epoch. 2025-05-04 04:16:09,212 - pyskl - INFO - Epoch(val) [95][533] top1_acc: 0.9069, top5_acc: 0.9944, mean_class_accuracy: 0.8834 2025-05-04 04:17:14,194 - pyskl - INFO - Epoch [96][100/1281] lr: 7.397e-03, eta: 10:25:52, time: 0.650, data_time: 0.182, memory: 9000, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8516, loss: 1.8516 2025-05-04 04:18:07,799 - pyskl - INFO - Epoch [96][200/1281] lr: 7.379e-03, eta: 10:24:59, time: 0.536, data_time: 0.000, memory: 9000, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8287, loss: 1.8287 2025-05-04 04:19:01,816 - pyskl - INFO - Epoch [96][300/1281] lr: 7.360e-03, eta: 10:24:06, time: 0.540, data_time: 0.001, memory: 9000, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8184, loss: 1.8184 2025-05-04 04:19:58,093 - pyskl - INFO - Epoch [96][400/1281] lr: 7.341e-03, eta: 10:23:14, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.9636, loss: 1.9636 2025-05-04 04:20:53,065 - pyskl - INFO - Epoch [96][500/1281] lr: 7.323e-03, eta: 10:22:21, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.9051, loss: 1.9051 2025-05-04 04:21:49,100 - pyskl - INFO - Epoch [96][600/1281] lr: 7.304e-03, eta: 10:21:30, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.8774, loss: 1.8774 2025-05-04 04:22:44,585 - pyskl - INFO - Epoch [96][700/1281] lr: 7.286e-03, eta: 10:20:37, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 2.0189, loss: 2.0189 2025-05-04 04:23:40,234 - pyskl - INFO - Epoch [96][800/1281] lr: 7.267e-03, eta: 10:19:45, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.9285, loss: 1.9285 2025-05-04 04:24:35,222 - pyskl - INFO - Epoch [96][900/1281] lr: 7.249e-03, eta: 10:18:53, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 1.8952, loss: 1.8952 2025-05-04 04:25:30,184 - pyskl - INFO - Epoch [96][1000/1281] lr: 7.230e-03, eta: 10:18:00, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 1.8782, loss: 1.8782 2025-05-04 04:26:26,504 - pyskl - INFO - Epoch [96][1100/1281] lr: 7.211e-03, eta: 10:17:09, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.9157, loss: 1.9157 2025-05-04 04:27:23,914 - pyskl - INFO - Epoch [96][1200/1281] lr: 7.193e-03, eta: 10:16:17, time: 0.574, data_time: 0.000, memory: 9000, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.9749, loss: 1.9749 2025-05-04 04:28:10,481 - pyskl - INFO - Saving checkpoint at 96 epochs 2025-05-04 04:28:59,378 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 04:28:59,443 - pyskl - INFO - top1_acc 0.8822 top5_acc 0.9912 2025-05-04 04:28:59,443 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 04:28:59,454 - pyskl - INFO - mean_acc 0.8527 2025-05-04 04:28:59,458 - pyskl - INFO - Epoch(val) [96][533] top1_acc: 0.8822, top5_acc: 0.9912, mean_class_accuracy: 0.8527 2025-05-04 04:30:06,786 - pyskl - INFO - Epoch [97][100/1281] lr: 7.159e-03, eta: 10:14:24, time: 0.673, data_time: 0.182, memory: 9000, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 1.9931, loss: 1.9931 2025-05-04 04:31:02,772 - pyskl - INFO - Epoch [97][200/1281] lr: 7.141e-03, eta: 10:13:32, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.9191, loss: 1.9191 2025-05-04 04:32:00,841 - pyskl - INFO - Epoch [97][300/1281] lr: 7.123e-03, eta: 10:12:42, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9262, loss: 1.9262 2025-05-04 04:32:58,892 - pyskl - INFO - Epoch [97][400/1281] lr: 7.104e-03, eta: 10:11:51, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.7862, loss: 1.7862 2025-05-04 04:33:57,305 - pyskl - INFO - Epoch [97][500/1281] lr: 7.086e-03, eta: 10:11:00, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.8973, loss: 1.8973 2025-05-04 04:34:54,476 - pyskl - INFO - Epoch [97][600/1281] lr: 7.067e-03, eta: 10:10:09, time: 0.572, data_time: 0.000, memory: 9000, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.9011, loss: 1.9011 2025-05-04 04:35:51,834 - pyskl - INFO - Epoch [97][700/1281] lr: 7.049e-03, eta: 10:09:18, time: 0.574, data_time: 0.000, memory: 9000, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.8759, loss: 1.8759 2025-05-04 04:36:49,162 - pyskl - INFO - Epoch [97][800/1281] lr: 7.030e-03, eta: 10:08:27, time: 0.573, data_time: 0.000, memory: 9000, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.8846, loss: 1.8846 2025-05-04 04:37:44,890 - pyskl - INFO - Epoch [97][900/1281] lr: 7.012e-03, eta: 10:07:35, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.8843, loss: 1.8843 2025-05-04 04:38:41,817 - pyskl - INFO - Epoch [97][1000/1281] lr: 6.994e-03, eta: 10:06:43, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.8887, loss: 1.8887 2025-05-04 04:39:37,604 - pyskl - INFO - Epoch [97][1100/1281] lr: 6.975e-03, eta: 10:05:51, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.8567, loss: 1.8567 2025-05-04 04:40:33,587 - pyskl - INFO - Epoch [97][1200/1281] lr: 6.957e-03, eta: 10:04:59, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.8763, loss: 1.8763 2025-05-04 04:41:19,083 - pyskl - INFO - Saving checkpoint at 97 epochs 2025-05-04 04:42:05,982 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 04:42:06,039 - pyskl - INFO - top1_acc 0.8909 top5_acc 0.9887 2025-05-04 04:42:06,039 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 04:42:06,046 - pyskl - INFO - mean_acc 0.8506 2025-05-04 04:42:06,049 - pyskl - INFO - Epoch(val) [97][533] top1_acc: 0.8909, top5_acc: 0.9887, mean_class_accuracy: 0.8506 2025-05-04 04:43:10,205 - pyskl - INFO - Epoch [98][100/1281] lr: 6.924e-03, eta: 10:03:05, time: 0.642, data_time: 0.183, memory: 9000, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8485, loss: 1.8485 2025-05-04 04:44:02,442 - pyskl - INFO - Epoch [98][200/1281] lr: 6.906e-03, eta: 10:02:11, time: 0.522, data_time: 0.000, memory: 9000, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.7738, loss: 1.7738 2025-05-04 04:44:57,921 - pyskl - INFO - Epoch [98][300/1281] lr: 6.887e-03, eta: 10:01:18, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.7834, loss: 1.7834 2025-05-04 04:45:53,666 - pyskl - INFO - Epoch [98][400/1281] lr: 6.869e-03, eta: 10:00:26, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8199, loss: 1.8199 2025-05-04 04:46:48,996 - pyskl - INFO - Epoch [98][500/1281] lr: 6.851e-03, eta: 9:59:34, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.8144, loss: 1.8144 2025-05-04 04:47:45,220 - pyskl - INFO - Epoch [98][600/1281] lr: 6.833e-03, eta: 9:58:42, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.8680, loss: 1.8680 2025-05-04 04:48:41,863 - pyskl - INFO - Epoch [98][700/1281] lr: 6.814e-03, eta: 9:57:50, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.8344, loss: 1.8344 2025-05-04 04:49:38,440 - pyskl - INFO - Epoch [98][800/1281] lr: 6.796e-03, eta: 9:56:59, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.8235, loss: 1.8235 2025-05-04 04:50:33,616 - pyskl - INFO - Epoch [98][900/1281] lr: 6.778e-03, eta: 9:56:06, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.9567, loss: 1.9567 2025-05-04 04:51:29,807 - pyskl - INFO - Epoch [98][1000/1281] lr: 6.760e-03, eta: 9:55:14, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.8742, loss: 1.8742 2025-05-04 04:52:26,022 - pyskl - INFO - Epoch [98][1100/1281] lr: 6.742e-03, eta: 9:54:23, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.8401, loss: 1.8401 2025-05-04 04:53:21,951 - pyskl - INFO - Epoch [98][1200/1281] lr: 6.724e-03, eta: 9:53:31, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.8818, loss: 1.8818 2025-05-04 04:54:07,490 - pyskl - INFO - Saving checkpoint at 98 epochs 2025-05-04 04:54:54,321 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 04:54:54,380 - pyskl - INFO - top1_acc 0.9063 top5_acc 0.9931 2025-05-04 04:54:54,380 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 04:54:54,386 - pyskl - INFO - mean_acc 0.8859 2025-05-04 04:54:54,389 - pyskl - INFO - Epoch(val) [98][533] top1_acc: 0.9063, top5_acc: 0.9931, mean_class_accuracy: 0.8859 2025-05-04 04:55:58,884 - pyskl - INFO - Epoch [99][100/1281] lr: 6.691e-03, eta: 9:51:37, time: 0.645, data_time: 0.182, memory: 9000, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9421, loss: 1.9421 2025-05-04 04:56:52,497 - pyskl - INFO - Epoch [99][200/1281] lr: 6.673e-03, eta: 9:50:44, time: 0.536, data_time: 0.000, memory: 9000, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.8485, loss: 1.8485 2025-05-04 04:57:48,722 - pyskl - INFO - Epoch [99][300/1281] lr: 6.655e-03, eta: 9:49:52, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 1.9268, loss: 1.9268 2025-05-04 04:58:44,365 - pyskl - INFO - Epoch [99][400/1281] lr: 6.637e-03, eta: 9:49:00, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.8505, loss: 1.8505 2025-05-04 04:59:39,992 - pyskl - INFO - Epoch [99][500/1281] lr: 6.619e-03, eta: 9:48:07, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.8087, loss: 1.8087 2025-05-04 05:00:36,400 - pyskl - INFO - Epoch [99][600/1281] lr: 6.601e-03, eta: 9:47:16, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.8694, loss: 1.8694 2025-05-04 05:01:32,898 - pyskl - INFO - Epoch [99][700/1281] lr: 6.583e-03, eta: 9:46:24, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.9061, loss: 1.9061 2025-05-04 05:02:29,280 - pyskl - INFO - Epoch [99][800/1281] lr: 6.565e-03, eta: 9:45:32, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.8382, loss: 1.8382 2025-05-04 05:03:27,617 - pyskl - INFO - Epoch [99][900/1281] lr: 6.547e-03, eta: 9:44:41, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.7898, loss: 1.7898 2025-05-04 05:04:26,019 - pyskl - INFO - Epoch [99][1000/1281] lr: 6.529e-03, eta: 9:43:50, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.7900, loss: 1.7900 2025-05-04 05:05:23,808 - pyskl - INFO - Epoch [99][1100/1281] lr: 6.511e-03, eta: 9:42:59, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.7930, loss: 1.7930 2025-05-04 05:06:21,619 - pyskl - INFO - Epoch [99][1200/1281] lr: 6.493e-03, eta: 9:42:08, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.7936, loss: 1.7936 2025-05-04 05:07:08,452 - pyskl - INFO - Saving checkpoint at 99 epochs 2025-05-04 05:07:55,899 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 05:07:55,956 - pyskl - INFO - top1_acc 0.9072 top5_acc 0.9939 2025-05-04 05:07:55,956 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 05:07:55,964 - pyskl - INFO - mean_acc 0.8737 2025-05-04 05:07:56,022 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_95.pth was removed 2025-05-04 05:07:57,737 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. 2025-05-04 05:07:57,738 - pyskl - INFO - Best top1_acc is 0.9072 at 99 epoch. 2025-05-04 05:07:57,741 - pyskl - INFO - Epoch(val) [99][533] top1_acc: 0.9072, top5_acc: 0.9939, mean_class_accuracy: 0.8737 2025-05-04 05:09:02,491 - pyskl - INFO - Epoch [100][100/1281] lr: 6.460e-03, eta: 9:40:15, time: 0.647, data_time: 0.184, memory: 9000, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.8348, loss: 1.8348 2025-05-04 05:09:56,015 - pyskl - INFO - Epoch [100][200/1281] lr: 6.442e-03, eta: 9:39:22, time: 0.535, data_time: 0.000, memory: 9000, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.7724, loss: 1.7724 2025-05-04 05:10:51,134 - pyskl - INFO - Epoch [100][300/1281] lr: 6.425e-03, eta: 9:38:29, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.7843, loss: 1.7843 2025-05-04 05:11:46,127 - pyskl - INFO - Epoch [100][400/1281] lr: 6.407e-03, eta: 9:37:37, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.7376, loss: 1.7376 2025-05-04 05:12:41,440 - pyskl - INFO - Epoch [100][500/1281] lr: 6.389e-03, eta: 9:36:44, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8004, loss: 1.8004 2025-05-04 05:13:37,885 - pyskl - INFO - Epoch [100][600/1281] lr: 6.371e-03, eta: 9:35:53, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.8088, loss: 1.8088 2025-05-04 05:14:33,224 - pyskl - INFO - Epoch [100][700/1281] lr: 6.353e-03, eta: 9:35:00, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.7963, loss: 1.7963 2025-05-04 05:15:28,900 - pyskl - INFO - Epoch [100][800/1281] lr: 6.336e-03, eta: 9:34:08, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.7845, loss: 1.7845 2025-05-04 05:16:24,053 - pyskl - INFO - Epoch [100][900/1281] lr: 6.318e-03, eta: 9:33:16, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.7735, loss: 1.7735 2025-05-04 05:17:19,875 - pyskl - INFO - Epoch [100][1000/1281] lr: 6.300e-03, eta: 9:32:23, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.8379, loss: 1.8379 2025-05-04 05:18:15,440 - pyskl - INFO - Epoch [100][1100/1281] lr: 6.282e-03, eta: 9:31:31, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.8552, loss: 1.8552 2025-05-04 05:19:10,954 - pyskl - INFO - Epoch [100][1200/1281] lr: 6.265e-03, eta: 9:30:39, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.8556, loss: 1.8556 2025-05-04 05:19:56,469 - pyskl - INFO - Saving checkpoint at 100 epochs 2025-05-04 05:20:42,776 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 05:20:42,833 - pyskl - INFO - top1_acc 0.8998 top5_acc 0.9941 2025-05-04 05:20:42,833 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 05:20:42,841 - pyskl - INFO - mean_acc 0.8694 2025-05-04 05:20:42,844 - pyskl - INFO - Epoch(val) [100][533] top1_acc: 0.8998, top5_acc: 0.9941, mean_class_accuracy: 0.8694 2025-05-04 05:21:47,249 - pyskl - INFO - Epoch [101][100/1281] lr: 6.232e-03, eta: 9:28:46, time: 0.644, data_time: 0.182, memory: 9000, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.7712, loss: 1.7712 2025-05-04 05:22:40,662 - pyskl - INFO - Epoch [101][200/1281] lr: 6.215e-03, eta: 9:27:53, time: 0.534, data_time: 0.000, memory: 9000, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.7886, loss: 1.7886 2025-05-04 05:23:36,206 - pyskl - INFO - Epoch [101][300/1281] lr: 6.197e-03, eta: 9:27:00, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.7849, loss: 1.7849 2025-05-04 05:24:30,892 - pyskl - INFO - Epoch [101][400/1281] lr: 6.180e-03, eta: 9:26:08, time: 0.547, data_time: 0.000, memory: 9000, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.7497, loss: 1.7497 2025-05-04 05:25:26,874 - pyskl - INFO - Epoch [101][500/1281] lr: 6.162e-03, eta: 9:25:16, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.7987, loss: 1.7987 2025-05-04 05:26:23,303 - pyskl - INFO - Epoch [101][600/1281] lr: 6.144e-03, eta: 9:24:24, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.8344, loss: 1.8344 2025-05-04 05:27:20,814 - pyskl - INFO - Epoch [101][700/1281] lr: 6.127e-03, eta: 9:23:32, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.7754, loss: 1.7754 2025-05-04 05:28:21,362 - pyskl - INFO - Epoch [101][800/1281] lr: 6.109e-03, eta: 9:22:43, time: 0.605, data_time: 0.000, memory: 9000, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.8304, loss: 1.8304 2025-05-04 05:29:22,480 - pyskl - INFO - Epoch [101][900/1281] lr: 6.092e-03, eta: 9:21:53, time: 0.611, data_time: 0.000, memory: 9000, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.8265, loss: 1.8265 2025-05-04 05:30:24,126 - pyskl - INFO - Epoch [101][1000/1281] lr: 6.074e-03, eta: 9:21:04, time: 0.616, data_time: 0.000, memory: 9000, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.8611, loss: 1.8611 2025-05-04 05:31:24,600 - pyskl - INFO - Epoch [101][1100/1281] lr: 6.057e-03, eta: 9:20:14, time: 0.605, data_time: 0.000, memory: 9000, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.8798, loss: 1.8798 2025-05-04 05:32:23,462 - pyskl - INFO - Epoch [101][1200/1281] lr: 6.039e-03, eta: 9:19:23, time: 0.589, data_time: 0.000, memory: 9000, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.8777, loss: 1.8777 2025-05-04 05:33:10,945 - pyskl - INFO - Saving checkpoint at 101 epochs 2025-05-04 05:33:59,543 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 05:33:59,601 - pyskl - INFO - top1_acc 0.9042 top5_acc 0.9938 2025-05-04 05:33:59,602 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 05:33:59,609 - pyskl - INFO - mean_acc 0.8759 2025-05-04 05:33:59,612 - pyskl - INFO - Epoch(val) [101][533] top1_acc: 0.9042, top5_acc: 0.9938, mean_class_accuracy: 0.8759 2025-05-04 05:35:06,336 - pyskl - INFO - Epoch [102][100/1281] lr: 6.007e-03, eta: 9:17:32, time: 0.667, data_time: 0.183, memory: 9000, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.8340, loss: 1.8340 2025-05-04 05:36:02,239 - pyskl - INFO - Epoch [102][200/1281] lr: 5.990e-03, eta: 9:16:40, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8300, loss: 1.8300 2025-05-04 05:37:00,314 - pyskl - INFO - Epoch [102][300/1281] lr: 5.972e-03, eta: 9:15:49, time: 0.581, data_time: 0.000, memory: 9000, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.7518, loss: 1.7518 2025-05-04 05:37:59,078 - pyskl - INFO - Epoch [102][400/1281] lr: 5.955e-03, eta: 9:14:58, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.7254, loss: 1.7254 2025-05-04 05:38:56,806 - pyskl - INFO - Epoch [102][500/1281] lr: 5.938e-03, eta: 9:14:06, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.7520, loss: 1.7520 2025-05-04 05:39:54,321 - pyskl - INFO - Epoch [102][600/1281] lr: 5.920e-03, eta: 9:13:15, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.7350, loss: 1.7350 2025-05-04 05:40:52,831 - pyskl - INFO - Epoch [102][700/1281] lr: 5.903e-03, eta: 9:12:24, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.7004, loss: 1.7004 2025-05-04 05:41:51,540 - pyskl - INFO - Epoch [102][800/1281] lr: 5.886e-03, eta: 9:11:33, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.8524, loss: 1.8524 2025-05-04 05:42:49,846 - pyskl - INFO - Epoch [102][900/1281] lr: 5.868e-03, eta: 9:10:42, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 1.8543, loss: 1.8543 2025-05-04 05:43:48,524 - pyskl - INFO - Epoch [102][1000/1281] lr: 5.851e-03, eta: 9:09:51, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.9139, loss: 1.9139 2025-05-04 05:44:45,333 - pyskl - INFO - Epoch [102][1100/1281] lr: 5.834e-03, eta: 9:08:59, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.8305, loss: 1.8305 2025-05-04 05:45:41,746 - pyskl - INFO - Epoch [102][1200/1281] lr: 5.816e-03, eta: 9:08:07, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.7788, loss: 1.7788 2025-05-04 05:46:27,352 - pyskl - INFO - Saving checkpoint at 102 epochs 2025-05-04 05:47:15,535 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 05:47:15,611 - pyskl - INFO - top1_acc 0.9038 top5_acc 0.9935 2025-05-04 05:47:15,611 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 05:47:15,624 - pyskl - INFO - mean_acc 0.8674 2025-05-04 05:47:15,629 - pyskl - INFO - Epoch(val) [102][533] top1_acc: 0.9038, top5_acc: 0.9935, mean_class_accuracy: 0.8674 2025-05-04 05:48:20,684 - pyskl - INFO - Epoch [103][100/1281] lr: 5.785e-03, eta: 9:06:16, time: 0.650, data_time: 0.185, memory: 9000, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.7825, loss: 1.7825 2025-05-04 05:49:13,981 - pyskl - INFO - Epoch [103][200/1281] lr: 5.768e-03, eta: 9:05:22, time: 0.533, data_time: 0.000, memory: 9000, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.7197, loss: 1.7197 2025-05-04 05:50:08,771 - pyskl - INFO - Epoch [103][300/1281] lr: 5.751e-03, eta: 9:04:30, time: 0.548, data_time: 0.000, memory: 9000, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.7889, loss: 1.7889 2025-05-04 05:51:02,582 - pyskl - INFO - Epoch [103][400/1281] lr: 5.733e-03, eta: 9:03:36, time: 0.538, data_time: 0.000, memory: 9000, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.7307, loss: 1.7307 2025-05-04 05:51:57,979 - pyskl - INFO - Epoch [103][500/1281] lr: 5.716e-03, eta: 9:02:44, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.7848, loss: 1.7848 2025-05-04 05:52:53,774 - pyskl - INFO - Epoch [103][600/1281] lr: 5.699e-03, eta: 9:01:52, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.8010, loss: 1.8010 2025-05-04 05:53:49,667 - pyskl - INFO - Epoch [103][700/1281] lr: 5.682e-03, eta: 9:00:59, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.8804, loss: 1.8804 2025-05-04 05:54:45,735 - pyskl - INFO - Epoch [103][800/1281] lr: 5.665e-03, eta: 9:00:07, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2025-05-04 05:55:41,189 - pyskl - INFO - Epoch [103][900/1281] lr: 5.648e-03, eta: 8:59:15, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.7894, loss: 1.7894 2025-05-04 05:56:37,703 - pyskl - INFO - Epoch [103][1000/1281] lr: 5.631e-03, eta: 8:58:23, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.8107, loss: 1.8107 2025-05-04 05:57:34,061 - pyskl - INFO - Epoch [103][1100/1281] lr: 5.614e-03, eta: 8:57:31, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.8377, loss: 1.8377 2025-05-04 05:58:29,387 - pyskl - INFO - Epoch [103][1200/1281] lr: 5.597e-03, eta: 8:56:38, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.7595, loss: 1.7595 2025-05-04 05:59:15,960 - pyskl - INFO - Saving checkpoint at 103 epochs 2025-05-04 06:00:03,071 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 06:00:03,127 - pyskl - INFO - top1_acc 0.8954 top5_acc 0.9920 2025-05-04 06:00:03,127 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 06:00:03,134 - pyskl - INFO - mean_acc 0.8488 2025-05-04 06:00:03,137 - pyskl - INFO - Epoch(val) [103][533] top1_acc: 0.8954, top5_acc: 0.9920, mean_class_accuracy: 0.8488 2025-05-04 06:01:07,926 - pyskl - INFO - Epoch [104][100/1281] lr: 5.566e-03, eta: 8:54:47, time: 0.648, data_time: 0.181, memory: 9000, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.8277, loss: 1.8277 2025-05-04 06:02:02,126 - pyskl - INFO - Epoch [104][200/1281] lr: 5.549e-03, eta: 8:53:54, time: 0.542, data_time: 0.000, memory: 9000, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.7605, loss: 1.7605 2025-05-04 06:02:59,248 - pyskl - INFO - Epoch [104][300/1281] lr: 5.532e-03, eta: 8:53:02, time: 0.571, data_time: 0.000, memory: 9000, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.7345, loss: 1.7345 2025-05-04 06:03:55,952 - pyskl - INFO - Epoch [104][400/1281] lr: 5.515e-03, eta: 8:52:11, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.7337, loss: 1.7337 2025-05-04 06:04:53,631 - pyskl - INFO - Epoch [104][500/1281] lr: 5.498e-03, eta: 8:51:19, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.7469, loss: 1.7469 2025-05-04 06:05:52,087 - pyskl - INFO - Epoch [104][600/1281] lr: 5.481e-03, eta: 8:50:28, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.6972, loss: 1.6972 2025-05-04 06:06:49,453 - pyskl - INFO - Epoch [104][700/1281] lr: 5.464e-03, eta: 8:49:36, time: 0.574, data_time: 0.000, memory: 9000, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.7021, loss: 1.7021 2025-05-04 06:07:45,718 - pyskl - INFO - Epoch [104][800/1281] lr: 5.447e-03, eta: 8:48:44, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.7658, loss: 1.7658 2025-05-04 06:08:42,199 - pyskl - INFO - Epoch [104][900/1281] lr: 5.430e-03, eta: 8:47:52, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.7616, loss: 1.7616 2025-05-04 06:09:38,110 - pyskl - INFO - Epoch [104][1000/1281] lr: 5.413e-03, eta: 8:47:00, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.7361, loss: 1.7361 2025-05-04 06:10:33,796 - pyskl - INFO - Epoch [104][1100/1281] lr: 5.397e-03, eta: 8:46:07, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.7891, loss: 1.7891 2025-05-04 06:11:29,087 - pyskl - INFO - Epoch [104][1200/1281] lr: 5.380e-03, eta: 8:45:15, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.7889, loss: 1.7889 2025-05-04 06:12:14,353 - pyskl - INFO - Saving checkpoint at 104 epochs 2025-05-04 06:13:01,221 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 06:13:01,278 - pyskl - INFO - top1_acc 0.9012 top5_acc 0.9934 2025-05-04 06:13:01,278 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 06:13:01,286 - pyskl - INFO - mean_acc 0.8700 2025-05-04 06:13:01,289 - pyskl - INFO - Epoch(val) [104][533] top1_acc: 0.9012, top5_acc: 0.9934, mean_class_accuracy: 0.8700 2025-05-04 06:14:06,351 - pyskl - INFO - Epoch [105][100/1281] lr: 5.349e-03, eta: 8:43:24, time: 0.651, data_time: 0.184, memory: 9000, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.8209, loss: 1.8209 2025-05-04 06:14:59,662 - pyskl - INFO - Epoch [105][200/1281] lr: 5.333e-03, eta: 8:42:31, time: 0.533, data_time: 0.000, memory: 9000, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.6921, loss: 1.6921 2025-05-04 06:15:55,106 - pyskl - INFO - Epoch [105][300/1281] lr: 5.316e-03, eta: 8:41:38, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.7565, loss: 1.7565 2025-05-04 06:16:51,025 - pyskl - INFO - Epoch [105][400/1281] lr: 5.299e-03, eta: 8:40:46, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.7107, loss: 1.7107 2025-05-04 06:17:45,841 - pyskl - INFO - Epoch [105][500/1281] lr: 5.283e-03, eta: 8:39:53, time: 0.548, data_time: 0.000, memory: 9000, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.7048, loss: 1.7048 2025-05-04 06:18:41,966 - pyskl - INFO - Epoch [105][600/1281] lr: 5.266e-03, eta: 8:39:01, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.7007, loss: 1.7007 2025-05-04 06:19:38,665 - pyskl - INFO - Epoch [105][700/1281] lr: 5.249e-03, eta: 8:38:09, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.7411, loss: 1.7411 2025-05-04 06:20:35,003 - pyskl - INFO - Epoch [105][800/1281] lr: 5.233e-03, eta: 8:37:17, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.6816, loss: 1.6816 2025-05-04 06:21:30,245 - pyskl - INFO - Epoch [105][900/1281] lr: 5.216e-03, eta: 8:36:24, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.7281, loss: 1.7281 2025-05-04 06:22:26,359 - pyskl - INFO - Epoch [105][1000/1281] lr: 5.199e-03, eta: 8:35:32, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.7461, loss: 1.7461 2025-05-04 06:23:20,861 - pyskl - INFO - Epoch [105][1100/1281] lr: 5.183e-03, eta: 8:34:39, time: 0.545, data_time: 0.000, memory: 9000, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.7022, loss: 1.7022 2025-05-04 06:24:16,427 - pyskl - INFO - Epoch [105][1200/1281] lr: 5.166e-03, eta: 8:33:47, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.6642, loss: 1.6642 2025-05-04 06:25:02,763 - pyskl - INFO - Saving checkpoint at 105 epochs 2025-05-04 06:25:51,397 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 06:25:51,453 - pyskl - INFO - top1_acc 0.9061 top5_acc 0.9930 2025-05-04 06:25:51,453 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 06:25:51,460 - pyskl - INFO - mean_acc 0.8785 2025-05-04 06:25:51,462 - pyskl - INFO - Epoch(val) [105][533] top1_acc: 0.9061, top5_acc: 0.9930, mean_class_accuracy: 0.8785 2025-05-04 06:26:58,546 - pyskl - INFO - Epoch [106][100/1281] lr: 5.136e-03, eta: 8:31:58, time: 0.671, data_time: 0.185, memory: 9000, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.7110, loss: 1.7110 2025-05-04 06:27:53,748 - pyskl - INFO - Epoch [106][200/1281] lr: 5.120e-03, eta: 8:31:05, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.6733, loss: 1.6733 2025-05-04 06:28:51,409 - pyskl - INFO - Epoch [106][300/1281] lr: 5.103e-03, eta: 8:30:13, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.7093, loss: 1.7093 2025-05-04 06:29:49,878 - pyskl - INFO - Epoch [106][400/1281] lr: 5.087e-03, eta: 8:29:22, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.6650, loss: 1.6650 2025-05-04 06:30:48,520 - pyskl - INFO - Epoch [106][500/1281] lr: 5.070e-03, eta: 8:28:31, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.6252, loss: 1.6252 2025-05-04 06:31:48,207 - pyskl - INFO - Epoch [106][600/1281] lr: 5.054e-03, eta: 8:27:40, time: 0.597, data_time: 0.000, memory: 9000, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.7794, loss: 1.7794 2025-05-04 06:32:46,854 - pyskl - INFO - Epoch [106][700/1281] lr: 5.038e-03, eta: 8:26:49, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.7268, loss: 1.7268 2025-05-04 06:33:43,881 - pyskl - INFO - Epoch [106][800/1281] lr: 5.021e-03, eta: 8:25:57, time: 0.570, data_time: 0.000, memory: 9000, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.7095, loss: 1.7095 2025-05-04 06:34:40,487 - pyskl - INFO - Epoch [106][900/1281] lr: 5.005e-03, eta: 8:25:05, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.6625, loss: 1.6625 2025-05-04 06:35:35,856 - pyskl - INFO - Epoch [106][1000/1281] lr: 4.988e-03, eta: 8:24:13, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.6845, loss: 1.6845 2025-05-04 06:36:31,376 - pyskl - INFO - Epoch [106][1100/1281] lr: 4.972e-03, eta: 8:23:20, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.6855, loss: 1.6855 2025-05-04 06:37:27,163 - pyskl - INFO - Epoch [106][1200/1281] lr: 4.956e-03, eta: 8:22:28, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.7652, loss: 1.7652 2025-05-04 06:38:12,449 - pyskl - INFO - Saving checkpoint at 106 epochs 2025-05-04 06:38:59,259 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 06:38:59,316 - pyskl - INFO - top1_acc 0.9116 top5_acc 0.9950 2025-05-04 06:38:59,316 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 06:38:59,324 - pyskl - INFO - mean_acc 0.8862 2025-05-04 06:38:59,384 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_99.pth was removed 2025-05-04 06:39:00,946 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_106.pth. 2025-05-04 06:39:00,946 - pyskl - INFO - Best top1_acc is 0.9116 at 106 epoch. 2025-05-04 06:39:00,951 - pyskl - INFO - Epoch(val) [106][533] top1_acc: 0.9116, top5_acc: 0.9950, mean_class_accuracy: 0.8862 2025-05-04 06:40:05,420 - pyskl - INFO - Epoch [107][100/1281] lr: 4.926e-03, eta: 8:20:38, time: 0.645, data_time: 0.183, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.6481, loss: 1.6481 2025-05-04 06:40:58,259 - pyskl - INFO - Epoch [107][200/1281] lr: 4.910e-03, eta: 8:19:44, time: 0.528, data_time: 0.000, memory: 9000, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.6529, loss: 1.6529 2025-05-04 06:41:53,201 - pyskl - INFO - Epoch [107][300/1281] lr: 4.894e-03, eta: 8:18:51, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.7405, loss: 1.7405 2025-05-04 06:42:49,044 - pyskl - INFO - Epoch [107][400/1281] lr: 4.878e-03, eta: 8:17:59, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.6497, loss: 1.6497 2025-05-04 06:43:43,619 - pyskl - INFO - Epoch [107][500/1281] lr: 4.862e-03, eta: 8:17:06, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.6944, loss: 1.6944 2025-05-04 06:44:40,218 - pyskl - INFO - Epoch [107][600/1281] lr: 4.845e-03, eta: 8:16:14, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.7020, loss: 1.7020 2025-05-04 06:45:36,624 - pyskl - INFO - Epoch [107][700/1281] lr: 4.829e-03, eta: 8:15:22, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.7369, loss: 1.7369 2025-05-04 06:46:32,538 - pyskl - INFO - Epoch [107][800/1281] lr: 4.813e-03, eta: 8:14:29, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.6469, loss: 1.6469 2025-05-04 06:47:29,624 - pyskl - INFO - Epoch [107][900/1281] lr: 4.797e-03, eta: 8:13:37, time: 0.571, data_time: 0.000, memory: 9000, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.7522, loss: 1.7522 2025-05-04 06:48:25,797 - pyskl - INFO - Epoch [107][1000/1281] lr: 4.781e-03, eta: 8:12:45, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.7294, loss: 1.7294 2025-05-04 06:49:22,086 - pyskl - INFO - Epoch [107][1100/1281] lr: 4.765e-03, eta: 8:11:53, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.6488, loss: 1.6488 2025-05-04 06:50:18,628 - pyskl - INFO - Epoch [107][1200/1281] lr: 4.749e-03, eta: 8:11:01, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.6600, loss: 1.6600 2025-05-04 06:51:03,794 - pyskl - INFO - Saving checkpoint at 107 epochs 2025-05-04 06:51:51,088 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 06:51:51,144 - pyskl - INFO - top1_acc 0.8978 top5_acc 0.9905 2025-05-04 06:51:51,145 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 06:51:51,151 - pyskl - INFO - mean_acc 0.8820 2025-05-04 06:51:51,154 - pyskl - INFO - Epoch(val) [107][533] top1_acc: 0.8978, top5_acc: 0.9905, mean_class_accuracy: 0.8820 2025-05-04 06:52:55,830 - pyskl - INFO - Epoch [108][100/1281] lr: 4.720e-03, eta: 8:09:11, time: 0.647, data_time: 0.186, memory: 9000, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.6867, loss: 1.6867 2025-05-04 06:53:48,996 - pyskl - INFO - Epoch [108][200/1281] lr: 4.704e-03, eta: 8:08:18, time: 0.532, data_time: 0.000, memory: 9000, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.6578, loss: 1.6578 2025-05-04 06:54:43,930 - pyskl - INFO - Epoch [108][300/1281] lr: 4.688e-03, eta: 8:07:25, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.6303, loss: 1.6303 2025-05-04 06:55:40,119 - pyskl - INFO - Epoch [108][400/1281] lr: 4.672e-03, eta: 8:06:33, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.7035, loss: 1.7035 2025-05-04 06:56:35,340 - pyskl - INFO - Epoch [108][500/1281] lr: 4.656e-03, eta: 8:05:40, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.7089, loss: 1.7089 2025-05-04 06:57:30,174 - pyskl - INFO - Epoch [108][600/1281] lr: 4.640e-03, eta: 8:04:47, time: 0.548, data_time: 0.000, memory: 9000, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.6049, loss: 1.6049 2025-05-04 06:58:26,021 - pyskl - INFO - Epoch [108][700/1281] lr: 4.624e-03, eta: 8:03:55, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.6345, loss: 1.6345 2025-05-04 06:59:20,364 - pyskl - INFO - Epoch [108][800/1281] lr: 4.608e-03, eta: 8:03:02, time: 0.543, data_time: 0.000, memory: 9000, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.6727, loss: 1.6727 2025-05-04 07:00:14,982 - pyskl - INFO - Epoch [108][900/1281] lr: 4.593e-03, eta: 8:02:09, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.6406, loss: 1.6406 2025-05-04 07:01:11,430 - pyskl - INFO - Epoch [108][1000/1281] lr: 4.577e-03, eta: 8:01:17, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.7267, loss: 1.7267 2025-05-04 07:02:10,675 - pyskl - INFO - Epoch [108][1100/1281] lr: 4.561e-03, eta: 8:00:26, time: 0.592, data_time: 0.000, memory: 9000, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.6789, loss: 1.6789 2025-05-04 07:03:09,183 - pyskl - INFO - Epoch [108][1200/1281] lr: 4.545e-03, eta: 7:59:34, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.5871, loss: 1.5871 2025-05-04 07:03:55,913 - pyskl - INFO - Saving checkpoint at 108 epochs 2025-05-04 07:04:44,913 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 07:04:44,969 - pyskl - INFO - top1_acc 0.9181 top5_acc 0.9941 2025-05-04 07:04:44,970 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 07:04:44,976 - pyskl - INFO - mean_acc 0.8863 2025-05-04 07:04:45,048 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_106.pth was removed 2025-05-04 07:04:46,659 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_108.pth. 2025-05-04 07:04:46,660 - pyskl - INFO - Best top1_acc is 0.9181 at 108 epoch. 2025-05-04 07:04:46,667 - pyskl - INFO - Epoch(val) [108][533] top1_acc: 0.9181, top5_acc: 0.9941, mean_class_accuracy: 0.8863 2025-05-04 07:05:53,219 - pyskl - INFO - Epoch [109][100/1281] lr: 4.517e-03, eta: 7:57:46, time: 0.665, data_time: 0.185, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.5487, loss: 1.5487 2025-05-04 07:06:47,648 - pyskl - INFO - Epoch [109][200/1281] lr: 4.501e-03, eta: 7:56:53, time: 0.544, data_time: 0.000, memory: 9000, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.6285, loss: 1.6285 2025-05-04 07:07:43,190 - pyskl - INFO - Epoch [109][300/1281] lr: 4.485e-03, eta: 7:56:00, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.5708, loss: 1.5708 2025-05-04 07:08:39,393 - pyskl - INFO - Epoch [109][400/1281] lr: 4.470e-03, eta: 7:55:08, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.6700, loss: 1.6700 2025-05-04 07:09:36,483 - pyskl - INFO - Epoch [109][500/1281] lr: 4.454e-03, eta: 7:54:16, time: 0.571, data_time: 0.000, memory: 9000, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.6771, loss: 1.6771 2025-05-04 07:10:32,553 - pyskl - INFO - Epoch [109][600/1281] lr: 4.438e-03, eta: 7:53:24, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.6051, loss: 1.6051 2025-05-04 07:11:28,489 - pyskl - INFO - Epoch [109][700/1281] lr: 4.423e-03, eta: 7:52:31, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.6749, loss: 1.6749 2025-05-04 07:12:23,892 - pyskl - INFO - Epoch [109][800/1281] lr: 4.407e-03, eta: 7:51:39, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.6564, loss: 1.6564 2025-05-04 07:13:20,110 - pyskl - INFO - Epoch [109][900/1281] lr: 4.391e-03, eta: 7:50:46, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.6257, loss: 1.6257 2025-05-04 07:14:15,401 - pyskl - INFO - Epoch [109][1000/1281] lr: 4.376e-03, eta: 7:49:54, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.7321, loss: 1.7321 2025-05-04 07:15:11,539 - pyskl - INFO - Epoch [109][1100/1281] lr: 4.360e-03, eta: 7:49:01, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.6940, loss: 1.6940 2025-05-04 07:16:06,964 - pyskl - INFO - Epoch [109][1200/1281] lr: 4.345e-03, eta: 7:48:09, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.6806, loss: 1.6806 2025-05-04 07:16:54,468 - pyskl - INFO - Saving checkpoint at 109 epochs 2025-05-04 07:17:41,202 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 07:17:41,259 - pyskl - INFO - top1_acc 0.9243 top5_acc 0.9958 2025-05-04 07:17:41,259 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 07:17:41,265 - pyskl - INFO - mean_acc 0.8997 2025-05-04 07:17:41,324 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_108.pth was removed 2025-05-04 07:17:42,882 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_109.pth. 2025-05-04 07:17:42,883 - pyskl - INFO - Best top1_acc is 0.9243 at 109 epoch. 2025-05-04 07:17:42,887 - pyskl - INFO - Epoch(val) [109][533] top1_acc: 0.9243, top5_acc: 0.9958, mean_class_accuracy: 0.8997 2025-05-04 07:18:47,096 - pyskl - INFO - Epoch [110][100/1281] lr: 4.317e-03, eta: 7:46:20, time: 0.642, data_time: 0.177, memory: 9000, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.6616, loss: 1.6616 2025-05-04 07:19:40,369 - pyskl - INFO - Epoch [110][200/1281] lr: 4.301e-03, eta: 7:45:26, time: 0.533, data_time: 0.000, memory: 9000, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.6579, loss: 1.6579 2025-05-04 07:20:35,699 - pyskl - INFO - Epoch [110][300/1281] lr: 4.286e-03, eta: 7:44:34, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.5963, loss: 1.5963 2025-05-04 07:21:32,003 - pyskl - INFO - Epoch [110][400/1281] lr: 4.271e-03, eta: 7:43:42, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.6095, loss: 1.6095 2025-05-04 07:22:28,409 - pyskl - INFO - Epoch [110][500/1281] lr: 4.255e-03, eta: 7:42:49, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.6062, loss: 1.6062 2025-05-04 07:23:24,569 - pyskl - INFO - Epoch [110][600/1281] lr: 4.240e-03, eta: 7:41:57, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.6130, loss: 1.6130 2025-05-04 07:24:19,951 - pyskl - INFO - Epoch [110][700/1281] lr: 4.225e-03, eta: 7:41:04, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.6507, loss: 1.6507 2025-05-04 07:25:17,106 - pyskl - INFO - Epoch [110][800/1281] lr: 4.209e-03, eta: 7:40:12, time: 0.572, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.6748, loss: 1.6748 2025-05-04 07:26:14,693 - pyskl - INFO - Epoch [110][900/1281] lr: 4.194e-03, eta: 7:39:20, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.5755, loss: 1.5755 2025-05-04 07:27:13,956 - pyskl - INFO - Epoch [110][1000/1281] lr: 4.179e-03, eta: 7:38:29, time: 0.593, data_time: 0.000, memory: 9000, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.6425, loss: 1.6425 2025-05-04 07:28:12,798 - pyskl - INFO - Epoch [110][1100/1281] lr: 4.164e-03, eta: 7:37:38, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.6688, loss: 1.6688 2025-05-04 07:29:11,051 - pyskl - INFO - Epoch [110][1200/1281] lr: 4.148e-03, eta: 7:36:46, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.6343, loss: 1.6343 2025-05-04 07:29:59,026 - pyskl - INFO - Saving checkpoint at 110 epochs 2025-05-04 07:30:47,843 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 07:30:47,899 - pyskl - INFO - top1_acc 0.9187 top5_acc 0.9954 2025-05-04 07:30:47,899 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 07:30:47,906 - pyskl - INFO - mean_acc 0.8913 2025-05-04 07:30:47,908 - pyskl - INFO - Epoch(val) [110][533] top1_acc: 0.9187, top5_acc: 0.9954, mean_class_accuracy: 0.8913 2025-05-04 07:31:54,585 - pyskl - INFO - Epoch [111][100/1281] lr: 4.121e-03, eta: 7:34:59, time: 0.667, data_time: 0.178, memory: 9000, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.7044, loss: 1.7044 2025-05-04 07:32:50,088 - pyskl - INFO - Epoch [111][200/1281] lr: 4.106e-03, eta: 7:34:06, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.6121, loss: 1.6121 2025-05-04 07:33:49,194 - pyskl - INFO - Epoch [111][300/1281] lr: 4.091e-03, eta: 7:33:15, time: 0.591, data_time: 0.000, memory: 9000, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.6124, loss: 1.6124 2025-05-04 07:34:47,388 - pyskl - INFO - Epoch [111][400/1281] lr: 4.075e-03, eta: 7:32:23, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.6009, loss: 1.6009 2025-05-04 07:35:44,169 - pyskl - INFO - Epoch [111][500/1281] lr: 4.060e-03, eta: 7:31:31, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.5488, loss: 1.5488 2025-05-04 07:36:40,465 - pyskl - INFO - Epoch [111][600/1281] lr: 4.045e-03, eta: 7:30:39, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.5984, loss: 1.5984 2025-05-04 07:37:37,557 - pyskl - INFO - Epoch [111][700/1281] lr: 4.030e-03, eta: 7:29:46, time: 0.571, data_time: 0.000, memory: 9000, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.6476, loss: 1.6476 2025-05-04 07:38:33,720 - pyskl - INFO - Epoch [111][800/1281] lr: 4.015e-03, eta: 7:28:54, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.6526, loss: 1.6526 2025-05-04 07:39:30,736 - pyskl - INFO - Epoch [111][900/1281] lr: 4.000e-03, eta: 7:28:02, time: 0.570, data_time: 0.000, memory: 9000, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.5816, loss: 1.5816 2025-05-04 07:40:26,540 - pyskl - INFO - Epoch [111][1000/1281] lr: 3.985e-03, eta: 7:27:09, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5893, loss: 1.5893 2025-05-04 07:41:23,345 - pyskl - INFO - Epoch [111][1100/1281] lr: 3.970e-03, eta: 7:26:17, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.5991, loss: 1.5991 2025-05-04 07:42:19,531 - pyskl - INFO - Epoch [111][1200/1281] lr: 3.955e-03, eta: 7:25:25, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.5896, loss: 1.5896 2025-05-04 07:43:05,202 - pyskl - INFO - Saving checkpoint at 111 epochs 2025-05-04 07:43:52,284 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 07:43:52,340 - pyskl - INFO - top1_acc 0.9125 top5_acc 0.9924 2025-05-04 07:43:52,340 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 07:43:52,349 - pyskl - INFO - mean_acc 0.8878 2025-05-04 07:43:52,353 - pyskl - INFO - Epoch(val) [111][533] top1_acc: 0.9125, top5_acc: 0.9924, mean_class_accuracy: 0.8878 2025-05-04 07:44:56,511 - pyskl - INFO - Epoch [112][100/1281] lr: 3.928e-03, eta: 7:23:37, time: 0.642, data_time: 0.173, memory: 9000, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.6345, loss: 1.6345 2025-05-04 07:45:49,837 - pyskl - INFO - Epoch [112][200/1281] lr: 3.914e-03, eta: 7:22:43, time: 0.533, data_time: 0.000, memory: 9000, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.6916, loss: 1.6916 2025-05-04 07:46:44,979 - pyskl - INFO - Epoch [112][300/1281] lr: 3.899e-03, eta: 7:21:50, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.6510, loss: 1.6510 2025-05-04 07:47:40,877 - pyskl - INFO - Epoch [112][400/1281] lr: 3.884e-03, eta: 7:20:58, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.6510, loss: 1.6510 2025-05-04 07:48:36,770 - pyskl - INFO - Epoch [112][500/1281] lr: 3.869e-03, eta: 7:20:05, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.6188, loss: 1.6188 2025-05-04 07:49:32,580 - pyskl - INFO - Epoch [112][600/1281] lr: 3.854e-03, eta: 7:19:13, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5462, loss: 1.5462 2025-05-04 07:50:29,712 - pyskl - INFO - Epoch [112][700/1281] lr: 3.840e-03, eta: 7:18:21, time: 0.571, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.5978, loss: 1.5978 2025-05-04 07:51:25,508 - pyskl - INFO - Epoch [112][800/1281] lr: 3.825e-03, eta: 7:17:28, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.6244, loss: 1.6244 2025-05-04 07:52:21,779 - pyskl - INFO - Epoch [112][900/1281] lr: 3.810e-03, eta: 7:16:36, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.6380, loss: 1.6380 2025-05-04 07:53:18,197 - pyskl - INFO - Epoch [112][1000/1281] lr: 3.795e-03, eta: 7:15:43, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.5641, loss: 1.5641 2025-05-04 07:54:14,622 - pyskl - INFO - Epoch [112][1100/1281] lr: 3.781e-03, eta: 7:14:51, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.6325, loss: 1.6325 2025-05-04 07:55:10,539 - pyskl - INFO - Epoch [112][1200/1281] lr: 3.766e-03, eta: 7:13:59, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5950, loss: 1.5950 2025-05-04 07:55:56,072 - pyskl - INFO - Saving checkpoint at 112 epochs 2025-05-04 07:56:43,536 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 07:56:43,591 - pyskl - INFO - top1_acc 0.9205 top5_acc 0.9950 2025-05-04 07:56:43,591 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 07:56:43,598 - pyskl - INFO - mean_acc 0.8946 2025-05-04 07:56:43,600 - pyskl - INFO - Epoch(val) [112][533] top1_acc: 0.9205, top5_acc: 0.9950, mean_class_accuracy: 0.8946 2025-05-04 07:57:47,791 - pyskl - INFO - Epoch [113][100/1281] lr: 3.740e-03, eta: 7:12:11, time: 0.642, data_time: 0.176, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.5005, loss: 1.5005 2025-05-04 07:58:40,360 - pyskl - INFO - Epoch [113][200/1281] lr: 3.725e-03, eta: 7:11:17, time: 0.526, data_time: 0.000, memory: 9000, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.6151, loss: 1.6151 2025-05-04 07:59:35,662 - pyskl - INFO - Epoch [113][300/1281] lr: 3.711e-03, eta: 7:10:24, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.6463, loss: 1.6463 2025-05-04 08:00:33,687 - pyskl - INFO - Epoch [113][400/1281] lr: 3.696e-03, eta: 7:09:33, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.6033, loss: 1.6033 2025-05-04 08:01:31,924 - pyskl - INFO - Epoch [113][500/1281] lr: 3.682e-03, eta: 7:08:41, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.5842, loss: 1.5842 2025-05-04 08:02:31,064 - pyskl - INFO - Epoch [113][600/1281] lr: 3.667e-03, eta: 7:07:49, time: 0.591, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.5919, loss: 1.5919 2025-05-04 08:03:30,036 - pyskl - INFO - Epoch [113][700/1281] lr: 3.653e-03, eta: 7:06:58, time: 0.590, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.5953, loss: 1.5953 2025-05-04 08:04:27,821 - pyskl - INFO - Epoch [113][800/1281] lr: 3.638e-03, eta: 7:06:06, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.5196, loss: 1.5196 2025-05-04 08:05:24,713 - pyskl - INFO - Epoch [113][900/1281] lr: 3.624e-03, eta: 7:05:14, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.6189, loss: 1.6189 2025-05-04 08:06:21,315 - pyskl - INFO - Epoch [113][1000/1281] lr: 3.610e-03, eta: 7:04:21, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.5950, loss: 1.5950 2025-05-04 08:07:18,032 - pyskl - INFO - Epoch [113][1100/1281] lr: 3.595e-03, eta: 7:03:29, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.5266, loss: 1.5266 2025-05-04 08:08:13,188 - pyskl - INFO - Epoch [113][1200/1281] lr: 3.581e-03, eta: 7:02:36, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.5336, loss: 1.5336 2025-05-04 08:08:59,938 - pyskl - INFO - Saving checkpoint at 113 epochs 2025-05-04 08:09:46,724 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 08:09:46,779 - pyskl - INFO - top1_acc 0.9063 top5_acc 0.9900 2025-05-04 08:09:46,779 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 08:09:46,786 - pyskl - INFO - mean_acc 0.8823 2025-05-04 08:09:46,788 - pyskl - INFO - Epoch(val) [113][533] top1_acc: 0.9063, top5_acc: 0.9900, mean_class_accuracy: 0.8823 2025-05-04 08:10:52,099 - pyskl - INFO - Epoch [114][100/1281] lr: 3.555e-03, eta: 7:00:49, time: 0.653, data_time: 0.182, memory: 9000, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.6315, loss: 1.6315 2025-05-04 08:11:46,717 - pyskl - INFO - Epoch [114][200/1281] lr: 3.541e-03, eta: 6:59:56, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.5679, loss: 1.5679 2025-05-04 08:12:41,740 - pyskl - INFO - Epoch [114][300/1281] lr: 3.526e-03, eta: 6:59:03, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.5516, loss: 1.5516 2025-05-04 08:13:37,918 - pyskl - INFO - Epoch [114][400/1281] lr: 3.512e-03, eta: 6:58:11, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.5548, loss: 1.5548 2025-05-04 08:14:33,853 - pyskl - INFO - Epoch [114][500/1281] lr: 3.498e-03, eta: 6:57:18, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.5805, loss: 1.5805 2025-05-04 08:15:29,359 - pyskl - INFO - Epoch [114][600/1281] lr: 3.484e-03, eta: 6:56:26, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.5568, loss: 1.5568 2025-05-04 08:16:25,951 - pyskl - INFO - Epoch [114][700/1281] lr: 3.470e-03, eta: 6:55:33, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.6769, loss: 1.6769 2025-05-04 08:17:22,206 - pyskl - INFO - Epoch [114][800/1281] lr: 3.456e-03, eta: 6:54:41, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.6169, loss: 1.6169 2025-05-04 08:18:18,885 - pyskl - INFO - Epoch [114][900/1281] lr: 3.442e-03, eta: 6:53:49, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.5908, loss: 1.5908 2025-05-04 08:19:15,270 - pyskl - INFO - Epoch [114][1000/1281] lr: 3.427e-03, eta: 6:52:56, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 1.7030, loss: 1.7030 2025-05-04 08:20:11,947 - pyskl - INFO - Epoch [114][1100/1281] lr: 3.413e-03, eta: 6:52:04, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.5854, loss: 1.5854 2025-05-04 08:21:07,951 - pyskl - INFO - Epoch [114][1200/1281] lr: 3.399e-03, eta: 6:51:11, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.5936, loss: 1.5936 2025-05-04 08:21:54,569 - pyskl - INFO - Saving checkpoint at 114 epochs 2025-05-04 08:22:41,964 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 08:22:42,023 - pyskl - INFO - top1_acc 0.9129 top5_acc 0.9919 2025-05-04 08:22:42,023 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 08:22:42,030 - pyskl - INFO - mean_acc 0.8859 2025-05-04 08:22:42,032 - pyskl - INFO - Epoch(val) [114][533] top1_acc: 0.9129, top5_acc: 0.9919, mean_class_accuracy: 0.8859 2025-05-04 08:23:46,299 - pyskl - INFO - Epoch [115][100/1281] lr: 3.374e-03, eta: 6:49:24, time: 0.643, data_time: 0.178, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.5704, loss: 1.5704 2025-05-04 08:24:39,710 - pyskl - INFO - Epoch [115][200/1281] lr: 3.360e-03, eta: 6:48:31, time: 0.534, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.5057, loss: 1.5057 2025-05-04 08:25:36,849 - pyskl - INFO - Epoch [115][300/1281] lr: 3.346e-03, eta: 6:47:39, time: 0.571, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.5272, loss: 1.5272 2025-05-04 08:26:35,064 - pyskl - INFO - Epoch [115][400/1281] lr: 3.332e-03, eta: 6:46:47, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.6063, loss: 1.6063 2025-05-04 08:27:33,378 - pyskl - INFO - Epoch [115][500/1281] lr: 3.318e-03, eta: 6:45:55, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5571, loss: 1.5571 2025-05-04 08:28:31,336 - pyskl - INFO - Epoch [115][600/1281] lr: 3.305e-03, eta: 6:45:03, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.5452, loss: 1.5452 2025-05-04 08:29:29,623 - pyskl - INFO - Epoch [115][700/1281] lr: 3.291e-03, eta: 6:44:11, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.6245, loss: 1.6245 2025-05-04 08:30:28,153 - pyskl - INFO - Epoch [115][800/1281] lr: 3.277e-03, eta: 6:43:19, time: 0.585, data_time: 0.000, memory: 9000, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.5269, loss: 1.5269 2025-05-04 08:31:26,826 - pyskl - INFO - Epoch [115][900/1281] lr: 3.263e-03, eta: 6:42:27, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.5504, loss: 1.5504 2025-05-04 08:32:25,720 - pyskl - INFO - Epoch [115][1000/1281] lr: 3.249e-03, eta: 6:41:36, time: 0.589, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.5720, loss: 1.5720 2025-05-04 08:33:24,400 - pyskl - INFO - Epoch [115][1100/1281] lr: 3.236e-03, eta: 6:40:44, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.6377, loss: 1.6377 2025-05-04 08:34:21,204 - pyskl - INFO - Epoch [115][1200/1281] lr: 3.222e-03, eta: 6:39:52, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.5854, loss: 1.5854 2025-05-04 08:35:07,614 - pyskl - INFO - Saving checkpoint at 115 epochs 2025-05-04 08:35:54,611 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 08:35:54,667 - pyskl - INFO - top1_acc 0.9215 top5_acc 0.9941 2025-05-04 08:35:54,667 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 08:35:54,674 - pyskl - INFO - mean_acc 0.8968 2025-05-04 08:35:54,677 - pyskl - INFO - Epoch(val) [115][533] top1_acc: 0.9215, top5_acc: 0.9941, mean_class_accuracy: 0.8968 2025-05-04 08:36:59,741 - pyskl - INFO - Epoch [116][100/1281] lr: 3.197e-03, eta: 6:38:05, time: 0.651, data_time: 0.178, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.5183, loss: 1.5183 2025-05-04 08:37:53,816 - pyskl - INFO - Epoch [116][200/1281] lr: 3.184e-03, eta: 6:37:12, time: 0.541, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.4863, loss: 1.4863 2025-05-04 08:38:49,176 - pyskl - INFO - Epoch [116][300/1281] lr: 3.170e-03, eta: 6:36:19, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.5423, loss: 1.5423 2025-05-04 08:39:45,055 - pyskl - INFO - Epoch [116][400/1281] lr: 3.156e-03, eta: 6:35:27, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.5345, loss: 1.5345 2025-05-04 08:40:40,908 - pyskl - INFO - Epoch [116][500/1281] lr: 3.143e-03, eta: 6:34:34, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.5175, loss: 1.5175 2025-05-04 08:41:35,505 - pyskl - INFO - Epoch [116][600/1281] lr: 3.129e-03, eta: 6:33:41, time: 0.546, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.5033, loss: 1.5033 2025-05-04 08:42:30,967 - pyskl - INFO - Epoch [116][700/1281] lr: 3.116e-03, eta: 6:32:48, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5203, loss: 1.5203 2025-05-04 08:43:26,455 - pyskl - INFO - Epoch [116][800/1281] lr: 3.102e-03, eta: 6:31:55, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5544, loss: 1.5544 2025-05-04 08:44:21,874 - pyskl - INFO - Epoch [116][900/1281] lr: 3.089e-03, eta: 6:31:03, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.5169, loss: 1.5169 2025-05-04 08:45:18,624 - pyskl - INFO - Epoch [116][1000/1281] lr: 3.075e-03, eta: 6:30:10, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.4896, loss: 1.4896 2025-05-04 08:46:13,784 - pyskl - INFO - Epoch [116][1100/1281] lr: 3.062e-03, eta: 6:29:17, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.5634, loss: 1.5634 2025-05-04 08:47:09,940 - pyskl - INFO - Epoch [116][1200/1281] lr: 3.049e-03, eta: 6:28:25, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.5550, loss: 1.5550 2025-05-04 08:47:55,863 - pyskl - INFO - Saving checkpoint at 116 epochs 2025-05-04 08:48:43,031 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 08:48:43,087 - pyskl - INFO - top1_acc 0.9190 top5_acc 0.9941 2025-05-04 08:48:43,087 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 08:48:43,094 - pyskl - INFO - mean_acc 0.8921 2025-05-04 08:48:43,097 - pyskl - INFO - Epoch(val) [116][533] top1_acc: 0.9190, top5_acc: 0.9941, mean_class_accuracy: 0.8921 2025-05-04 08:49:47,789 - pyskl - INFO - Epoch [117][100/1281] lr: 3.024e-03, eta: 6:26:39, time: 0.647, data_time: 0.182, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.5769, loss: 1.5769 2025-05-04 08:50:40,654 - pyskl - INFO - Epoch [117][200/1281] lr: 3.011e-03, eta: 6:25:45, time: 0.529, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.5377, loss: 1.5377 2025-05-04 08:51:35,375 - pyskl - INFO - Epoch [117][300/1281] lr: 2.998e-03, eta: 6:24:52, time: 0.547, data_time: 0.000, memory: 9000, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.5366, loss: 1.5366 2025-05-04 08:52:30,335 - pyskl - INFO - Epoch [117][400/1281] lr: 2.984e-03, eta: 6:23:59, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.5191, loss: 1.5191 2025-05-04 08:53:25,420 - pyskl - INFO - Epoch [117][500/1281] lr: 2.971e-03, eta: 6:23:06, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5101, loss: 1.5101 2025-05-04 08:54:21,231 - pyskl - INFO - Epoch [117][600/1281] lr: 2.958e-03, eta: 6:22:14, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.5153, loss: 1.5153 2025-05-04 08:55:16,822 - pyskl - INFO - Epoch [117][700/1281] lr: 2.945e-03, eta: 6:21:21, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.5076, loss: 1.5076 2025-05-04 08:56:12,241 - pyskl - INFO - Epoch [117][800/1281] lr: 2.932e-03, eta: 6:20:28, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.5159, loss: 1.5159 2025-05-04 08:57:07,310 - pyskl - INFO - Epoch [117][900/1281] lr: 2.919e-03, eta: 6:19:35, time: 0.551, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.4875, loss: 1.4875 2025-05-04 08:58:02,635 - pyskl - INFO - Epoch [117][1000/1281] lr: 2.905e-03, eta: 6:18:42, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.4818, loss: 1.4818 2025-05-04 08:58:58,422 - pyskl - INFO - Epoch [117][1100/1281] lr: 2.892e-03, eta: 6:17:50, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.4586, loss: 1.4586 2025-05-04 08:59:56,346 - pyskl - INFO - Epoch [117][1200/1281] lr: 2.879e-03, eta: 6:16:57, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.5218, loss: 1.5218 2025-05-04 09:00:44,087 - pyskl - INFO - Saving checkpoint at 117 epochs 2025-05-04 09:01:33,082 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 09:01:33,138 - pyskl - INFO - top1_acc 0.9275 top5_acc 0.9947 2025-05-04 09:01:33,138 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 09:01:33,145 - pyskl - INFO - mean_acc 0.9069 2025-05-04 09:01:33,212 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_109.pth was removed 2025-05-04 09:01:34,797 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. 2025-05-04 09:01:34,798 - pyskl - INFO - Best top1_acc is 0.9275 at 117 epoch. 2025-05-04 09:01:34,802 - pyskl - INFO - Epoch(val) [117][533] top1_acc: 0.9275, top5_acc: 0.9947, mean_class_accuracy: 0.9069 2025-05-04 09:02:40,034 - pyskl - INFO - Epoch [118][100/1281] lr: 2.856e-03, eta: 6:15:12, time: 0.652, data_time: 0.181, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4927, loss: 1.4927 2025-05-04 09:03:34,709 - pyskl - INFO - Epoch [118][200/1281] lr: 2.843e-03, eta: 6:14:19, time: 0.547, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.4779, loss: 1.4779 2025-05-04 09:04:30,140 - pyskl - INFO - Epoch [118][300/1281] lr: 2.830e-03, eta: 6:13:26, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5347, loss: 1.5347 2025-05-04 09:05:25,948 - pyskl - INFO - Epoch [118][400/1281] lr: 2.817e-03, eta: 6:12:33, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5390, loss: 1.5390 2025-05-04 09:06:21,800 - pyskl - INFO - Epoch [118][500/1281] lr: 2.804e-03, eta: 6:11:41, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5672, loss: 1.5672 2025-05-04 09:07:18,206 - pyskl - INFO - Epoch [118][600/1281] lr: 2.791e-03, eta: 6:10:48, time: 0.564, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.5145, loss: 1.5145 2025-05-04 09:08:14,324 - pyskl - INFO - Epoch [118][700/1281] lr: 2.778e-03, eta: 6:09:56, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5258, loss: 1.5258 2025-05-04 09:09:11,056 - pyskl - INFO - Epoch [118][800/1281] lr: 2.765e-03, eta: 6:09:03, time: 0.567, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.5191, loss: 1.5191 2025-05-04 09:10:07,073 - pyskl - INFO - Epoch [118][900/1281] lr: 2.753e-03, eta: 6:08:10, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.5830, loss: 1.5830 2025-05-04 09:11:02,772 - pyskl - INFO - Epoch [118][1000/1281] lr: 2.740e-03, eta: 6:07:18, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.5641, loss: 1.5641 2025-05-04 09:11:58,838 - pyskl - INFO - Epoch [118][1100/1281] lr: 2.727e-03, eta: 6:06:25, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.5123, loss: 1.5123 2025-05-04 09:12:54,438 - pyskl - INFO - Epoch [118][1200/1281] lr: 2.714e-03, eta: 6:05:32, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.5050, loss: 1.5050 2025-05-04 09:13:39,949 - pyskl - INFO - Saving checkpoint at 118 epochs 2025-05-04 09:14:26,532 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 09:14:26,587 - pyskl - INFO - top1_acc 0.9205 top5_acc 0.9931 2025-05-04 09:14:26,588 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 09:14:26,594 - pyskl - INFO - mean_acc 0.8958 2025-05-04 09:14:26,596 - pyskl - INFO - Epoch(val) [118][533] top1_acc: 0.9205, top5_acc: 0.9931, mean_class_accuracy: 0.8958 2025-05-04 09:15:31,016 - pyskl - INFO - Epoch [119][100/1281] lr: 2.691e-03, eta: 6:03:47, time: 0.644, data_time: 0.179, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.4849, loss: 1.4849 2025-05-04 09:16:23,730 - pyskl - INFO - Epoch [119][200/1281] lr: 2.679e-03, eta: 6:02:53, time: 0.527, data_time: 0.000, memory: 9000, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.5341, loss: 1.5341 2025-05-04 09:17:18,979 - pyskl - INFO - Epoch [119][300/1281] lr: 2.666e-03, eta: 6:02:00, time: 0.552, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4752, loss: 1.4752 2025-05-04 09:18:14,609 - pyskl - INFO - Epoch [119][400/1281] lr: 2.653e-03, eta: 6:01:08, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.5109, loss: 1.5109 2025-05-04 09:19:10,924 - pyskl - INFO - Epoch [119][500/1281] lr: 2.641e-03, eta: 6:00:15, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.5302, loss: 1.5302 2025-05-04 09:20:06,399 - pyskl - INFO - Epoch [119][600/1281] lr: 2.628e-03, eta: 5:59:22, time: 0.555, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.4598, loss: 1.4598 2025-05-04 09:21:02,446 - pyskl - INFO - Epoch [119][700/1281] lr: 2.616e-03, eta: 5:58:29, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.4906, loss: 1.4906 2025-05-04 09:21:59,067 - pyskl - INFO - Epoch [119][800/1281] lr: 2.603e-03, eta: 5:57:37, time: 0.566, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4620, loss: 1.4620 2025-05-04 09:22:56,647 - pyskl - INFO - Epoch [119][900/1281] lr: 2.591e-03, eta: 5:56:45, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.5070, loss: 1.5070 2025-05-04 09:23:54,519 - pyskl - INFO - Epoch [119][1000/1281] lr: 2.578e-03, eta: 5:55:52, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.5010, loss: 1.5010 2025-05-04 09:24:52,944 - pyskl - INFO - Epoch [119][1100/1281] lr: 2.566e-03, eta: 5:55:00, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.5529, loss: 1.5529 2025-05-04 09:25:51,627 - pyskl - INFO - Epoch [119][1200/1281] lr: 2.554e-03, eta: 5:54:08, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5102, loss: 1.5102 2025-05-04 09:26:38,830 - pyskl - INFO - Saving checkpoint at 119 epochs 2025-05-04 09:27:27,355 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 09:27:27,411 - pyskl - INFO - top1_acc 0.9270 top5_acc 0.9931 2025-05-04 09:27:27,411 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 09:27:27,417 - pyskl - INFO - mean_acc 0.9048 2025-05-04 09:27:27,419 - pyskl - INFO - Epoch(val) [119][533] top1_acc: 0.9270, top5_acc: 0.9931, mean_class_accuracy: 0.9048 2025-05-04 09:28:33,333 - pyskl - INFO - Epoch [120][100/1281] lr: 2.531e-03, eta: 5:52:24, time: 0.659, data_time: 0.176, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.5595, loss: 1.5595 2025-05-04 09:29:28,732 - pyskl - INFO - Epoch [120][200/1281] lr: 2.519e-03, eta: 5:51:31, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4928, loss: 1.4928 2025-05-04 09:30:26,429 - pyskl - INFO - Epoch [120][300/1281] lr: 2.507e-03, eta: 5:50:39, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.4821, loss: 1.4821 2025-05-04 09:31:25,050 - pyskl - INFO - Epoch [120][400/1281] lr: 2.494e-03, eta: 5:49:47, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.5305, loss: 1.5305 2025-05-04 09:32:21,932 - pyskl - INFO - Epoch [120][500/1281] lr: 2.482e-03, eta: 5:48:54, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4771, loss: 1.4771 2025-05-04 09:33:18,732 - pyskl - INFO - Epoch [120][600/1281] lr: 2.470e-03, eta: 5:48:02, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4210, loss: 1.4210 2025-05-04 09:34:14,965 - pyskl - INFO - Epoch [120][700/1281] lr: 2.458e-03, eta: 5:47:09, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4393, loss: 1.4393 2025-05-04 09:35:11,305 - pyskl - INFO - Epoch [120][800/1281] lr: 2.446e-03, eta: 5:46:16, time: 0.563, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.4965, loss: 1.4965 2025-05-04 09:36:07,114 - pyskl - INFO - Epoch [120][900/1281] lr: 2.433e-03, eta: 5:45:23, time: 0.558, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.5047, loss: 1.5047 2025-05-04 09:37:02,726 - pyskl - INFO - Epoch [120][1000/1281] lr: 2.421e-03, eta: 5:44:31, time: 0.556, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4667, loss: 1.4667 2025-05-04 09:37:58,754 - pyskl - INFO - Epoch [120][1100/1281] lr: 2.409e-03, eta: 5:43:38, time: 0.560, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.4295, loss: 1.4295 2025-05-04 09:38:55,214 - pyskl - INFO - Epoch [120][1200/1281] lr: 2.397e-03, eta: 5:42:45, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.4771, loss: 1.4771 2025-05-04 09:39:40,166 - pyskl - INFO - Saving checkpoint at 120 epochs 2025-05-04 09:40:26,652 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 09:40:26,707 - pyskl - INFO - top1_acc 0.9210 top5_acc 0.9925 2025-05-04 09:40:26,708 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 09:40:26,714 - pyskl - INFO - mean_acc 0.8915 2025-05-04 09:40:26,717 - pyskl - INFO - Epoch(val) [120][533] top1_acc: 0.9210, top5_acc: 0.9925, mean_class_accuracy: 0.8915 2025-05-04 09:41:31,770 - pyskl - INFO - Epoch [121][100/1281] lr: 2.375e-03, eta: 5:41:01, time: 0.650, data_time: 0.181, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.4379, loss: 1.4379 2025-05-04 09:42:24,641 - pyskl - INFO - Epoch [121][200/1281] lr: 2.363e-03, eta: 5:40:07, time: 0.529, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4198, loss: 1.4198 2025-05-04 09:43:19,305 - pyskl - INFO - Epoch [121][300/1281] lr: 2.351e-03, eta: 5:39:14, time: 0.547, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.4615, loss: 1.4615 2025-05-04 09:44:14,232 - pyskl - INFO - Epoch [121][400/1281] lr: 2.340e-03, eta: 5:38:21, time: 0.549, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.4835, loss: 1.4835 2025-05-04 09:45:09,606 - pyskl - INFO - Epoch [121][500/1281] lr: 2.328e-03, eta: 5:37:28, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.4717, loss: 1.4717 2025-05-04 09:46:05,707 - pyskl - INFO - Epoch [121][600/1281] lr: 2.316e-03, eta: 5:36:36, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4445, loss: 1.4445 2025-05-04 09:47:02,164 - pyskl - INFO - Epoch [121][700/1281] lr: 2.304e-03, eta: 5:35:43, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.4933, loss: 1.4933 2025-05-04 09:47:57,840 - pyskl - INFO - Epoch [121][800/1281] lr: 2.292e-03, eta: 5:34:50, time: 0.557, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4540, loss: 1.4540 2025-05-04 09:48:53,120 - pyskl - INFO - Epoch [121][900/1281] lr: 2.280e-03, eta: 5:33:57, time: 0.553, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4292, loss: 1.4292 2025-05-04 09:49:48,516 - pyskl - INFO - Epoch [121][1000/1281] lr: 2.269e-03, eta: 5:33:04, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.4509, loss: 1.4509 2025-05-04 09:50:44,720 - pyskl - INFO - Epoch [121][1100/1281] lr: 2.257e-03, eta: 5:32:11, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4385, loss: 1.4385 2025-05-04 09:51:40,612 - pyskl - INFO - Epoch [121][1200/1281] lr: 2.245e-03, eta: 5:31:19, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.4514, loss: 1.4514 2025-05-04 09:52:26,346 - pyskl - INFO - Saving checkpoint at 121 epochs 2025-05-04 09:53:13,345 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 09:53:13,401 - pyskl - INFO - top1_acc 0.9224 top5_acc 0.9948 2025-05-04 09:53:13,401 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 09:53:13,407 - pyskl - INFO - mean_acc 0.8970 2025-05-04 09:53:13,409 - pyskl - INFO - Epoch(val) [121][533] top1_acc: 0.9224, top5_acc: 0.9948, mean_class_accuracy: 0.8970 2025-05-04 09:54:17,594 - pyskl - INFO - Epoch [122][100/1281] lr: 2.224e-03, eta: 5:29:34, time: 0.642, data_time: 0.176, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.4809, loss: 1.4809 2025-05-04 09:55:10,177 - pyskl - INFO - Epoch [122][200/1281] lr: 2.212e-03, eta: 5:28:41, time: 0.526, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.4767, loss: 1.4767 2025-05-04 09:56:06,277 - pyskl - INFO - Epoch [122][300/1281] lr: 2.201e-03, eta: 5:27:48, time: 0.561, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4147, loss: 1.4147 2025-05-04 09:57:01,709 - pyskl - INFO - Epoch [122][400/1281] lr: 2.189e-03, eta: 5:26:55, time: 0.554, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4307, loss: 1.4307 2025-05-04 09:57:58,217 - pyskl - INFO - Epoch [122][500/1281] lr: 2.178e-03, eta: 5:26:02, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4242, loss: 1.4242 2025-05-04 09:58:56,558 - pyskl - INFO - Epoch [122][600/1281] lr: 2.166e-03, eta: 5:25:10, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4190, loss: 1.4190 2025-05-04 09:59:55,239 - pyskl - INFO - Epoch [122][700/1281] lr: 2.155e-03, eta: 5:24:18, time: 0.587, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.4883, loss: 1.4883 2025-05-04 10:00:52,883 - pyskl - INFO - Epoch [122][800/1281] lr: 2.143e-03, eta: 5:23:26, time: 0.576, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4571, loss: 1.4571 2025-05-04 10:01:48,791 - pyskl - INFO - Epoch [122][900/1281] lr: 2.132e-03, eta: 5:22:33, time: 0.559, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4781, loss: 1.4781 2025-05-04 10:02:43,058 - pyskl - INFO - Epoch [122][1000/1281] lr: 2.120e-03, eta: 5:21:40, time: 0.543, data_time: 0.000, memory: 9000, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.4472, loss: 1.4472 2025-05-04 10:03:37,459 - pyskl - INFO - Epoch [122][1100/1281] lr: 2.109e-03, eta: 5:20:47, time: 0.544, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4687, loss: 1.4687 2025-05-04 10:04:31,594 - pyskl - INFO - Epoch [122][1200/1281] lr: 2.098e-03, eta: 5:19:53, time: 0.541, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.4376, loss: 1.4376 2025-05-04 10:05:18,169 - pyskl - INFO - Saving checkpoint at 122 epochs 2025-05-04 10:06:06,465 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 10:06:06,522 - pyskl - INFO - top1_acc 0.9208 top5_acc 0.9942 2025-05-04 10:06:06,522 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 10:06:06,529 - pyskl - INFO - mean_acc 0.8907 2025-05-04 10:06:06,532 - pyskl - INFO - Epoch(val) [122][533] top1_acc: 0.9208, top5_acc: 0.9942, mean_class_accuracy: 0.8907 2025-05-04 10:07:10,399 - pyskl - INFO - Epoch [123][100/1281] lr: 2.077e-03, eta: 5:18:09, time: 0.639, data_time: 0.179, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4319, loss: 1.4319 2025-05-04 10:08:02,041 - pyskl - INFO - Epoch [123][200/1281] lr: 2.066e-03, eta: 5:17:15, time: 0.516, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4318, loss: 1.4318 2025-05-04 10:08:54,713 - pyskl - INFO - Epoch [123][300/1281] lr: 2.055e-03, eta: 5:16:22, time: 0.527, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4429, loss: 1.4429 2025-05-04 10:09:47,222 - pyskl - INFO - Epoch [123][400/1281] lr: 2.044e-03, eta: 5:15:28, time: 0.525, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4663, loss: 1.4663 2025-05-04 10:10:40,272 - pyskl - INFO - Epoch [123][500/1281] lr: 2.032e-03, eta: 5:14:35, time: 0.530, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.4498, loss: 1.4498 2025-05-04 10:11:37,961 - pyskl - INFO - Epoch [123][600/1281] lr: 2.021e-03, eta: 5:13:43, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.4229, loss: 1.4229 2025-05-04 10:12:37,502 - pyskl - INFO - Epoch [123][700/1281] lr: 2.010e-03, eta: 5:12:51, time: 0.595, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.4135, loss: 1.4135 2025-05-04 10:13:36,927 - pyskl - INFO - Epoch [123][800/1281] lr: 1.999e-03, eta: 5:11:59, time: 0.594, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.4319, loss: 1.4319 2025-05-04 10:14:36,666 - pyskl - INFO - Epoch [123][900/1281] lr: 1.988e-03, eta: 5:11:07, time: 0.597, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.4429, loss: 1.4429 2025-05-04 10:15:34,628 - pyskl - INFO - Epoch [123][1000/1281] lr: 1.977e-03, eta: 5:10:14, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4116, loss: 1.4116 2025-05-04 10:16:33,706 - pyskl - INFO - Epoch [123][1100/1281] lr: 1.966e-03, eta: 5:09:22, time: 0.591, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.5033, loss: 1.5033 2025-05-04 10:17:31,555 - pyskl - INFO - Epoch [123][1200/1281] lr: 1.955e-03, eta: 5:08:30, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.4250, loss: 1.4250 2025-05-04 10:18:18,651 - pyskl - INFO - Saving checkpoint at 123 epochs 2025-05-04 10:19:07,190 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 10:19:07,244 - pyskl - INFO - top1_acc 0.9289 top5_acc 0.9951 2025-05-04 10:19:07,245 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 10:19:07,251 - pyskl - INFO - mean_acc 0.9032 2025-05-04 10:19:07,320 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_117.pth was removed 2025-05-04 10:19:08,841 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. 2025-05-04 10:19:08,841 - pyskl - INFO - Best top1_acc is 0.9289 at 123 epoch. 2025-05-04 10:19:08,845 - pyskl - INFO - Epoch(val) [123][533] top1_acc: 0.9289, top5_acc: 0.9951, mean_class_accuracy: 0.9032 2025-05-04 10:20:13,819 - pyskl - INFO - Epoch [124][100/1281] lr: 1.935e-03, eta: 5:06:46, time: 0.650, data_time: 0.175, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4572, loss: 1.4572 2025-05-04 10:21:08,155 - pyskl - INFO - Epoch [124][200/1281] lr: 1.924e-03, eta: 5:05:53, time: 0.543, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.4856, loss: 1.4856 2025-05-04 10:22:05,858 - pyskl - INFO - Epoch [124][300/1281] lr: 1.913e-03, eta: 5:05:00, time: 0.577, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.4635, loss: 1.4635 2025-05-04 10:23:06,414 - pyskl - INFO - Epoch [124][400/1281] lr: 1.902e-03, eta: 5:04:09, time: 0.606, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4673, loss: 1.4673 2025-05-04 10:24:06,946 - pyskl - INFO - Epoch [124][500/1281] lr: 1.892e-03, eta: 5:03:17, time: 0.605, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4041, loss: 1.4041 2025-05-04 10:25:07,148 - pyskl - INFO - Epoch [124][600/1281] lr: 1.881e-03, eta: 5:02:25, time: 0.602, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3919, loss: 1.3919 2025-05-04 10:26:05,171 - pyskl - INFO - Epoch [124][700/1281] lr: 1.870e-03, eta: 5:01:33, time: 0.580, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4800, loss: 1.4800 2025-05-04 10:27:01,695 - pyskl - INFO - Epoch [124][800/1281] lr: 1.859e-03, eta: 5:00:40, time: 0.565, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4197, loss: 1.4197 2025-05-04 10:27:58,526 - pyskl - INFO - Epoch [124][900/1281] lr: 1.849e-03, eta: 4:59:47, time: 0.568, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.4489, loss: 1.4489 2025-05-04 10:28:56,425 - pyskl - INFO - Epoch [124][1000/1281] lr: 1.838e-03, eta: 4:58:55, time: 0.579, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4603, loss: 1.4603 2025-05-04 10:29:56,656 - pyskl - INFO - Epoch [124][1100/1281] lr: 1.827e-03, eta: 4:58:03, time: 0.602, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3749, loss: 1.3749 2025-05-04 10:30:53,883 - pyskl - INFO - Epoch [124][1200/1281] lr: 1.817e-03, eta: 4:57:10, time: 0.572, data_time: 0.000, memory: 9000, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.4195, loss: 1.4195 2025-05-04 10:31:40,326 - pyskl - INFO - Saving checkpoint at 124 epochs 2025-05-04 10:32:26,706 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 10:32:26,760 - pyskl - INFO - top1_acc 0.9319 top5_acc 0.9951 2025-05-04 10:32:26,760 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 10:32:26,767 - pyskl - INFO - mean_acc 0.9097 2025-05-04 10:32:26,831 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_123.pth was removed 2025-05-04 10:32:28,361 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. 2025-05-04 10:32:28,362 - pyskl - INFO - Best top1_acc is 0.9319 at 124 epoch. 2025-05-04 10:32:28,366 - pyskl - INFO - Epoch(val) [124][533] top1_acc: 0.9319, top5_acc: 0.9951, mean_class_accuracy: 0.9097 2025-05-04 10:33:31,994 - pyskl - INFO - Epoch [125][100/1281] lr: 1.797e-03, eta: 4:55:27, time: 0.636, data_time: 0.173, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4127, loss: 1.4127 2025-05-04 10:34:24,893 - pyskl - INFO - Epoch [125][200/1281] lr: 1.787e-03, eta: 4:54:33, time: 0.529, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.3807, loss: 1.3807 2025-05-04 10:35:23,779 - pyskl - INFO - Epoch [125][300/1281] lr: 1.776e-03, eta: 4:53:41, time: 0.589, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4288, loss: 1.4288 2025-05-04 10:36:26,040 - pyskl - INFO - Epoch [125][400/1281] lr: 1.766e-03, eta: 4:52:49, time: 0.623, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4425, loss: 1.4425 2025-05-04 10:37:28,121 - pyskl - INFO - Epoch [125][500/1281] lr: 1.755e-03, eta: 4:51:58, time: 0.621, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4264, loss: 1.4264 2025-05-04 10:38:30,147 - pyskl - INFO - Epoch [125][600/1281] lr: 1.745e-03, eta: 4:51:06, time: 0.620, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4034, loss: 1.4034 2025-05-04 10:39:30,889 - pyskl - INFO - Epoch [125][700/1281] lr: 1.735e-03, eta: 4:50:14, time: 0.607, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4077, loss: 1.4077 2025-05-04 10:40:31,113 - pyskl - INFO - Epoch [125][800/1281] lr: 1.724e-03, eta: 4:49:22, time: 0.602, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4409, loss: 1.4409 2025-05-04 10:41:31,704 - pyskl - INFO - Epoch [125][900/1281] lr: 1.714e-03, eta: 4:48:30, time: 0.606, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4442, loss: 1.4442 2025-05-04 10:42:32,935 - pyskl - INFO - Epoch [125][1000/1281] lr: 1.704e-03, eta: 4:47:38, time: 0.612, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3898, loss: 1.3898 2025-05-04 10:43:34,528 - pyskl - INFO - Epoch [125][1100/1281] lr: 1.693e-03, eta: 4:46:47, time: 0.616, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4109, loss: 1.4109 2025-05-04 10:44:54,097 - pyskl - INFO - Epoch [125][1200/1281] lr: 1.683e-03, eta: 4:45:58, time: 0.796, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3712, loss: 1.3712 2025-05-04 10:46:06,851 - pyskl - INFO - Saving checkpoint at 125 epochs 2025-05-04 10:46:59,542 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 10:46:59,595 - pyskl - INFO - top1_acc 0.9272 top5_acc 0.9946 2025-05-04 10:46:59,595 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 10:46:59,602 - pyskl - INFO - mean_acc 0.8968 2025-05-04 10:46:59,603 - pyskl - INFO - Epoch(val) [125][533] top1_acc: 0.9272, top5_acc: 0.9946, mean_class_accuracy: 0.8968 2025-05-04 10:48:06,398 - pyskl - INFO - Epoch [126][100/1281] lr: 1.665e-03, eta: 4:44:16, time: 0.668, data_time: 0.173, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.3973, loss: 1.3973 2025-05-04 10:49:01,381 - pyskl - INFO - Epoch [126][200/1281] lr: 1.654e-03, eta: 4:43:23, time: 0.550, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4371, loss: 1.4371 2025-05-04 10:49:58,309 - pyskl - INFO - Epoch [126][300/1281] lr: 1.644e-03, eta: 4:42:30, time: 0.569, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3845, loss: 1.3845 2025-05-04 10:51:02,143 - pyskl - INFO - Epoch [126][400/1281] lr: 1.634e-03, eta: 4:41:38, time: 0.638, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4175, loss: 1.4175 2025-05-04 10:52:11,337 - pyskl - INFO - Epoch [126][500/1281] lr: 1.624e-03, eta: 4:40:48, time: 0.692, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4037, loss: 1.4037 2025-05-04 10:53:10,809 - pyskl - INFO - Epoch [126][600/1281] lr: 1.614e-03, eta: 4:39:56, time: 0.595, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4276, loss: 1.4276 2025-05-04 10:54:08,355 - pyskl - INFO - Epoch [126][700/1281] lr: 1.604e-03, eta: 4:39:03, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4037, loss: 1.4037 2025-05-04 10:55:05,373 - pyskl - INFO - Epoch [126][800/1281] lr: 1.594e-03, eta: 4:38:10, time: 0.570, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4818, loss: 1.4818 2025-05-04 10:56:02,567 - pyskl - INFO - Epoch [126][900/1281] lr: 1.584e-03, eta: 4:37:18, time: 0.572, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3958, loss: 1.3958 2025-05-04 10:57:22,406 - pyskl - INFO - Epoch [126][1000/1281] lr: 1.574e-03, eta: 4:36:29, time: 0.798, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3800, loss: 1.3800 2025-05-04 10:59:21,505 - pyskl - INFO - Epoch [126][1100/1281] lr: 1.564e-03, eta: 4:35:48, time: 1.191, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3912, loss: 1.3912 2025-05-04 11:01:32,877 - pyskl - INFO - Epoch [126][1200/1281] lr: 1.554e-03, eta: 4:35:10, time: 1.314, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4086, loss: 1.4086 2025-05-04 11:03:23,292 - pyskl - INFO - Saving checkpoint at 126 epochs 2025-05-04 11:05:08,092 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 11:05:08,145 - pyskl - INFO - top1_acc 0.9317 top5_acc 0.9951 2025-05-04 11:05:08,145 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 11:05:08,151 - pyskl - INFO - mean_acc 0.9088 2025-05-04 11:05:08,152 - pyskl - INFO - Epoch(val) [126][533] top1_acc: 0.9317, top5_acc: 0.9951, mean_class_accuracy: 0.9088 2025-05-04 11:07:36,053 - pyskl - INFO - Epoch [127][100/1281] lr: 1.536e-03, eta: 4:33:42, time: 1.479, data_time: 0.164, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.3873, loss: 1.3873 2025-05-04 11:09:55,439 - pyskl - INFO - Epoch [127][200/1281] lr: 1.527e-03, eta: 4:33:05, time: 1.394, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4068, loss: 1.4068 2025-05-04 11:12:15,365 - pyskl - INFO - Epoch [127][300/1281] lr: 1.517e-03, eta: 4:32:28, time: 1.399, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3695, loss: 1.3695 2025-05-04 11:14:32,904 - pyskl - INFO - Epoch [127][400/1281] lr: 1.507e-03, eta: 4:31:50, time: 1.375, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3935, loss: 1.3935 2025-05-04 11:16:53,955 - pyskl - INFO - Epoch [127][500/1281] lr: 1.497e-03, eta: 4:31:12, time: 1.411, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3802, loss: 1.3802 2025-05-04 11:19:14,932 - pyskl - INFO - Epoch [127][600/1281] lr: 1.488e-03, eta: 4:30:35, time: 1.410, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4184, loss: 1.4184 2025-05-04 11:21:34,984 - pyskl - INFO - Epoch [127][700/1281] lr: 1.478e-03, eta: 4:29:57, time: 1.401, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3834, loss: 1.3834 2025-05-04 11:23:56,764 - pyskl - INFO - Epoch [127][800/1281] lr: 1.468e-03, eta: 4:29:19, time: 1.418, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3628, loss: 1.3628 2025-05-04 11:26:17,858 - pyskl - INFO - Epoch [127][900/1281] lr: 1.459e-03, eta: 4:28:41, time: 1.411, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3875, loss: 1.3875 2025-05-04 11:28:38,999 - pyskl - INFO - Epoch [127][1000/1281] lr: 1.449e-03, eta: 4:28:03, time: 1.411, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4053, loss: 1.4053 2025-05-04 11:30:58,647 - pyskl - INFO - Epoch [127][1100/1281] lr: 1.440e-03, eta: 4:27:25, time: 1.396, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4004, loss: 1.4004 2025-05-04 11:33:20,607 - pyskl - INFO - Epoch [127][1200/1281] lr: 1.430e-03, eta: 4:26:46, time: 1.420, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.3766, loss: 1.3766 2025-05-04 11:35:14,924 - pyskl - INFO - Saving checkpoint at 127 epochs 2025-05-04 11:37:02,200 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 11:37:02,252 - pyskl - INFO - top1_acc 0.9309 top5_acc 0.9962 2025-05-04 11:37:02,252 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 11:37:02,257 - pyskl - INFO - mean_acc 0.9030 2025-05-04 11:37:02,259 - pyskl - INFO - Epoch(val) [127][533] top1_acc: 0.9309, top5_acc: 0.9962, mean_class_accuracy: 0.9030 2025-05-04 11:39:31,624 - pyskl - INFO - Epoch [128][100/1281] lr: 1.413e-03, eta: 4:25:18, time: 1.494, data_time: 0.164, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3953, loss: 1.3953 2025-05-04 11:41:49,697 - pyskl - INFO - Epoch [128][200/1281] lr: 1.404e-03, eta: 4:24:39, time: 1.381, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.4146, loss: 1.4146 2025-05-04 11:44:10,561 - pyskl - INFO - Epoch [128][300/1281] lr: 1.394e-03, eta: 4:24:00, time: 1.409, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4038, loss: 1.4038 2025-05-04 11:46:30,908 - pyskl - INFO - Epoch [128][400/1281] lr: 1.385e-03, eta: 4:23:21, time: 1.403, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3694, loss: 1.3694 2025-05-04 11:48:54,254 - pyskl - INFO - Epoch [128][500/1281] lr: 1.376e-03, eta: 4:22:42, time: 1.434, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4115, loss: 1.4115 2025-05-04 11:51:14,629 - pyskl - INFO - Epoch [128][600/1281] lr: 1.366e-03, eta: 4:22:03, time: 1.404, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4241, loss: 1.4241 2025-05-04 11:53:34,554 - pyskl - INFO - Epoch [128][700/1281] lr: 1.357e-03, eta: 4:21:24, time: 1.399, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3750, loss: 1.3750 2025-05-04 11:55:55,706 - pyskl - INFO - Epoch [128][800/1281] lr: 1.348e-03, eta: 4:20:44, time: 1.412, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3694, loss: 1.3694 2025-05-04 11:58:17,396 - pyskl - INFO - Epoch [128][900/1281] lr: 1.339e-03, eta: 4:20:05, time: 1.417, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3672, loss: 1.3672 2025-05-04 12:00:34,683 - pyskl - INFO - Epoch [128][1000/1281] lr: 1.329e-03, eta: 4:19:25, time: 1.373, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3613, loss: 1.3613 2025-05-04 12:02:56,760 - pyskl - INFO - Epoch [128][1100/1281] lr: 1.320e-03, eta: 4:18:45, time: 1.421, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4031, loss: 1.4031 2025-05-04 12:05:18,503 - pyskl - INFO - Epoch [128][1200/1281] lr: 1.311e-03, eta: 4:18:05, time: 1.417, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.3894, loss: 1.3894 2025-05-04 12:07:11,657 - pyskl - INFO - Saving checkpoint at 128 epochs 2025-05-04 12:08:57,807 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 12:08:57,859 - pyskl - INFO - top1_acc 0.9252 top5_acc 0.9942 2025-05-04 12:08:57,859 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 12:08:57,864 - pyskl - INFO - mean_acc 0.8966 2025-05-04 12:08:57,866 - pyskl - INFO - Epoch(val) [128][533] top1_acc: 0.9252, top5_acc: 0.9942, mean_class_accuracy: 0.8966 2025-05-04 12:11:26,138 - pyskl - INFO - Epoch [129][100/1281] lr: 1.295e-03, eta: 4:16:34, time: 1.483, data_time: 0.165, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.4018, loss: 1.4018 2025-05-04 12:13:46,493 - pyskl - INFO - Epoch [129][200/1281] lr: 1.286e-03, eta: 4:15:54, time: 1.403, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3590, loss: 1.3590 2025-05-04 12:16:06,790 - pyskl - INFO - Epoch [129][300/1281] lr: 1.277e-03, eta: 4:15:14, time: 1.403, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3923, loss: 1.3923 2025-05-04 12:18:05,208 - pyskl - INFO - Epoch [129][400/1281] lr: 1.268e-03, eta: 4:14:30, time: 1.184, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3778, loss: 1.3778 2025-05-04 12:19:31,886 - pyskl - INFO - Epoch [129][500/1281] lr: 1.259e-03, eta: 4:13:40, time: 0.867, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3721, loss: 1.3721 2025-05-04 12:20:46,300 - pyskl - INFO - Epoch [129][600/1281] lr: 1.250e-03, eta: 4:12:48, time: 0.744, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.4008, loss: 1.4008 2025-05-04 12:22:41,838 - pyskl - INFO - Epoch [129][700/1281] lr: 1.241e-03, eta: 4:12:03, time: 1.155, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3701, loss: 1.3701 2025-05-04 12:23:56,629 - pyskl - INFO - Epoch [129][800/1281] lr: 1.232e-03, eta: 4:11:12, time: 0.748, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4045, loss: 1.4045 2025-05-04 12:25:01,707 - pyskl - INFO - Epoch [129][900/1281] lr: 1.223e-03, eta: 4:10:18, time: 0.651, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.4021, loss: 1.4021 2025-05-04 12:26:07,132 - pyskl - INFO - Epoch [129][1000/1281] lr: 1.214e-03, eta: 4:09:25, time: 0.654, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3821, loss: 1.3821 2025-05-04 12:27:08,797 - pyskl - INFO - Epoch [129][1100/1281] lr: 1.206e-03, eta: 4:08:31, time: 0.617, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.4077, loss: 1.4077 2025-05-04 12:28:08,180 - pyskl - INFO - Epoch [129][1200/1281] lr: 1.197e-03, eta: 4:07:37, time: 0.594, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3516, loss: 1.3516 2025-05-04 12:28:57,539 - pyskl - INFO - Saving checkpoint at 129 epochs 2025-05-04 12:29:49,459 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 12:29:49,519 - pyskl - INFO - top1_acc 0.9278 top5_acc 0.9955 2025-05-04 12:29:49,519 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 12:29:49,526 - pyskl - INFO - mean_acc 0.9032 2025-05-04 12:29:49,528 - pyskl - INFO - Epoch(val) [129][533] top1_acc: 0.9278, top5_acc: 0.9955, mean_class_accuracy: 0.9032 2025-05-04 12:31:00,273 - pyskl - INFO - Epoch [130][100/1281] lr: 1.181e-03, eta: 4:05:52, time: 0.707, data_time: 0.176, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3782, loss: 1.3782 2025-05-04 12:31:59,060 - pyskl - INFO - Epoch [130][200/1281] lr: 1.172e-03, eta: 4:04:58, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3728, loss: 1.3728 2025-05-04 12:32:57,829 - pyskl - INFO - Epoch [130][300/1281] lr: 1.164e-03, eta: 4:04:03, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4036, loss: 1.4036 2025-05-04 12:33:58,823 - pyskl - INFO - Epoch [130][400/1281] lr: 1.155e-03, eta: 4:03:09, time: 0.610, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3711, loss: 1.3711 2025-05-04 12:35:01,852 - pyskl - INFO - Epoch [130][500/1281] lr: 1.147e-03, eta: 4:02:16, time: 0.630, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3510, loss: 1.3510 2025-05-04 12:36:04,322 - pyskl - INFO - Epoch [130][600/1281] lr: 1.138e-03, eta: 4:01:22, time: 0.625, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3915, loss: 1.3915 2025-05-04 12:37:04,345 - pyskl - INFO - Epoch [130][700/1281] lr: 1.130e-03, eta: 4:00:27, time: 0.600, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3827, loss: 1.3827 2025-05-04 12:38:03,279 - pyskl - INFO - Epoch [130][800/1281] lr: 1.121e-03, eta: 3:59:33, time: 0.589, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3576, loss: 1.3576 2025-05-04 12:39:05,464 - pyskl - INFO - Epoch [130][900/1281] lr: 1.113e-03, eta: 3:58:39, time: 0.622, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3113, loss: 1.3113 2025-05-04 12:40:08,183 - pyskl - INFO - Epoch [130][1000/1281] lr: 1.104e-03, eta: 3:57:45, time: 0.627, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.4085, loss: 1.4085 2025-05-04 12:41:09,973 - pyskl - INFO - Epoch [130][1100/1281] lr: 1.096e-03, eta: 3:56:51, time: 0.618, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3438, loss: 1.3438 2025-05-04 12:42:10,886 - pyskl - INFO - Epoch [130][1200/1281] lr: 1.088e-03, eta: 3:55:57, time: 0.609, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3612, loss: 1.3612 2025-05-04 12:43:01,443 - pyskl - INFO - Saving checkpoint at 130 epochs 2025-05-04 12:43:55,097 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 12:43:55,153 - pyskl - INFO - top1_acc 0.9262 top5_acc 0.9952 2025-05-04 12:43:55,153 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 12:43:55,160 - pyskl - INFO - mean_acc 0.8992 2025-05-04 12:43:55,162 - pyskl - INFO - Epoch(val) [130][533] top1_acc: 0.9262, top5_acc: 0.9952, mean_class_accuracy: 0.8992 2025-05-04 12:45:06,450 - pyskl - INFO - Epoch [131][100/1281] lr: 1.072e-03, eta: 3:54:13, time: 0.713, data_time: 0.178, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3387, loss: 1.3387 2025-05-04 12:46:04,764 - pyskl - INFO - Epoch [131][200/1281] lr: 1.064e-03, eta: 3:53:18, time: 0.583, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.3739, loss: 1.3739 2025-05-04 12:47:03,820 - pyskl - INFO - Epoch [131][300/1281] lr: 1.056e-03, eta: 3:52:24, time: 0.591, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3526, loss: 1.3526 2025-05-04 12:48:04,377 - pyskl - INFO - Epoch [131][400/1281] lr: 1.048e-03, eta: 3:51:29, time: 0.606, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3555, loss: 1.3555 2025-05-04 12:49:08,153 - pyskl - INFO - Epoch [131][500/1281] lr: 1.040e-03, eta: 3:50:36, time: 0.638, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3091, loss: 1.3091 2025-05-04 12:50:11,234 - pyskl - INFO - Epoch [131][600/1281] lr: 1.031e-03, eta: 3:49:42, time: 0.631, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3689, loss: 1.3689 2025-05-04 12:51:13,988 - pyskl - INFO - Epoch [131][700/1281] lr: 1.023e-03, eta: 3:48:48, time: 0.628, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3404, loss: 1.3404 2025-05-04 12:52:16,885 - pyskl - INFO - Epoch [131][800/1281] lr: 1.015e-03, eta: 3:47:54, time: 0.629, data_time: 0.000, memory: 9000, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3557, loss: 1.3557 2025-05-04 12:53:23,649 - pyskl - INFO - Epoch [131][900/1281] lr: 1.007e-03, eta: 3:47:01, time: 0.668, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3702, loss: 1.3702 2025-05-04 12:54:26,481 - pyskl - INFO - Epoch [131][1000/1281] lr: 9.992e-04, eta: 3:46:07, time: 0.628, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3992, loss: 1.3992 2025-05-04 12:55:27,024 - pyskl - INFO - Epoch [131][1100/1281] lr: 9.912e-04, eta: 3:45:12, time: 0.605, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3813, loss: 1.3813 2025-05-04 12:56:25,837 - pyskl - INFO - Epoch [131][1200/1281] lr: 9.832e-04, eta: 3:44:18, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3606, loss: 1.3606 2025-05-04 12:57:15,938 - pyskl - INFO - Saving checkpoint at 131 epochs 2025-05-04 12:58:06,522 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 12:58:06,577 - pyskl - INFO - top1_acc 0.9329 top5_acc 0.9954 2025-05-04 12:58:06,578 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 12:58:06,584 - pyskl - INFO - mean_acc 0.9096 2025-05-04 12:58:06,642 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_124.pth was removed 2025-05-04 12:58:08,275 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. 2025-05-04 12:58:08,276 - pyskl - INFO - Best top1_acc is 0.9329 at 131 epoch. 2025-05-04 12:58:08,280 - pyskl - INFO - Epoch(val) [131][533] top1_acc: 0.9329, top5_acc: 0.9954, mean_class_accuracy: 0.9096 2025-05-04 12:59:17,946 - pyskl - INFO - Epoch [132][100/1281] lr: 9.689e-04, eta: 3:42:34, time: 0.697, data_time: 0.181, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3293, loss: 1.3293 2025-05-04 13:00:19,781 - pyskl - INFO - Epoch [132][200/1281] lr: 9.610e-04, eta: 3:41:40, time: 0.618, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.3463, loss: 1.3463 2025-05-04 13:01:21,960 - pyskl - INFO - Epoch [132][300/1281] lr: 9.532e-04, eta: 3:40:45, time: 0.622, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3903, loss: 1.3903 2025-05-04 13:02:27,204 - pyskl - INFO - Epoch [132][400/1281] lr: 9.454e-04, eta: 3:39:52, time: 0.652, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3863, loss: 1.3863 2025-05-04 13:03:31,908 - pyskl - INFO - Epoch [132][500/1281] lr: 9.376e-04, eta: 3:38:58, time: 0.647, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3506, loss: 1.3506 2025-05-04 13:04:33,372 - pyskl - INFO - Epoch [132][600/1281] lr: 9.298e-04, eta: 3:38:04, time: 0.615, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3432, loss: 1.3432 2025-05-04 13:05:32,869 - pyskl - INFO - Epoch [132][700/1281] lr: 9.221e-04, eta: 3:37:09, time: 0.595, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3540, loss: 1.3540 2025-05-04 13:06:34,369 - pyskl - INFO - Epoch [132][800/1281] lr: 9.144e-04, eta: 3:36:15, time: 0.615, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3350, loss: 1.3350 2025-05-04 13:07:37,453 - pyskl - INFO - Epoch [132][900/1281] lr: 9.068e-04, eta: 3:35:21, time: 0.631, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3675, loss: 1.3675 2025-05-04 13:08:39,587 - pyskl - INFO - Epoch [132][1000/1281] lr: 8.991e-04, eta: 3:34:27, time: 0.621, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3666, loss: 1.3666 2025-05-04 13:09:46,561 - pyskl - INFO - Epoch [132][1100/1281] lr: 8.915e-04, eta: 3:33:33, time: 0.670, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.3500, loss: 1.3500 2025-05-04 13:10:52,674 - pyskl - INFO - Epoch [132][1200/1281] lr: 8.840e-04, eta: 3:32:40, time: 0.661, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3342, loss: 1.3342 2025-05-04 13:11:45,653 - pyskl - INFO - Saving checkpoint at 132 epochs 2025-05-04 13:12:39,094 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 13:12:39,148 - pyskl - INFO - top1_acc 0.9272 top5_acc 0.9952 2025-05-04 13:12:39,148 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 13:12:39,154 - pyskl - INFO - mean_acc 0.9006 2025-05-04 13:12:39,157 - pyskl - INFO - Epoch(val) [132][533] top1_acc: 0.9272, top5_acc: 0.9952, mean_class_accuracy: 0.9006 2025-05-04 13:13:47,959 - pyskl - INFO - Epoch [133][100/1281] lr: 8.704e-04, eta: 3:30:56, time: 0.688, data_time: 0.178, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.3648, loss: 1.3648 2025-05-04 13:14:44,190 - pyskl - INFO - Epoch [133][200/1281] lr: 8.629e-04, eta: 3:30:01, time: 0.562, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3366, loss: 1.3366 2025-05-04 13:15:42,829 - pyskl - INFO - Epoch [133][300/1281] lr: 8.554e-04, eta: 3:29:06, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3135, loss: 1.3135 2025-05-04 13:16:46,574 - pyskl - INFO - Epoch [133][400/1281] lr: 8.480e-04, eta: 3:28:12, time: 0.637, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3598, loss: 1.3598 2025-05-04 13:17:48,325 - pyskl - INFO - Epoch [133][500/1281] lr: 8.406e-04, eta: 3:27:18, time: 0.617, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3293, loss: 1.3293 2025-05-04 13:18:51,190 - pyskl - INFO - Epoch [133][600/1281] lr: 8.333e-04, eta: 3:26:24, time: 0.629, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3917, loss: 1.3917 2025-05-04 13:19:57,285 - pyskl - INFO - Epoch [133][700/1281] lr: 8.260e-04, eta: 3:25:30, time: 0.661, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3107, loss: 1.3107 2025-05-04 13:21:03,334 - pyskl - INFO - Epoch [133][800/1281] lr: 8.187e-04, eta: 3:24:36, time: 0.660, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3085, loss: 1.3085 2025-05-04 13:22:07,976 - pyskl - INFO - Epoch [133][900/1281] lr: 8.114e-04, eta: 3:23:42, time: 0.646, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3319, loss: 1.3319 2025-05-04 13:23:09,656 - pyskl - INFO - Epoch [133][1000/1281] lr: 8.042e-04, eta: 3:22:48, time: 0.617, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3703, loss: 1.3703 2025-05-04 13:24:09,587 - pyskl - INFO - Epoch [133][1100/1281] lr: 7.970e-04, eta: 3:21:54, time: 0.599, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3429, loss: 1.3429 2025-05-04 13:25:09,458 - pyskl - INFO - Epoch [133][1200/1281] lr: 7.898e-04, eta: 3:20:59, time: 0.599, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3931, loss: 1.3931 2025-05-04 13:26:01,266 - pyskl - INFO - Saving checkpoint at 133 epochs 2025-05-04 13:26:52,979 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 13:26:53,034 - pyskl - INFO - top1_acc 0.9350 top5_acc 0.9954 2025-05-04 13:26:53,034 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 13:26:53,041 - pyskl - INFO - mean_acc 0.9127 2025-05-04 13:26:53,099 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_131.pth was removed 2025-05-04 13:26:54,693 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. 2025-05-04 13:26:54,693 - pyskl - INFO - Best top1_acc is 0.9350 at 133 epoch. 2025-05-04 13:26:54,697 - pyskl - INFO - Epoch(val) [133][533] top1_acc: 0.9350, top5_acc: 0.9954, mean_class_accuracy: 0.9127 2025-05-04 13:28:02,363 - pyskl - INFO - Epoch [134][100/1281] lr: 7.769e-04, eta: 3:19:15, time: 0.677, data_time: 0.178, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3221, loss: 1.3221 2025-05-04 13:29:01,984 - pyskl - INFO - Epoch [134][200/1281] lr: 7.699e-04, eta: 3:18:20, time: 0.596, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3416, loss: 1.3416 2025-05-04 13:30:07,144 - pyskl - INFO - Epoch [134][300/1281] lr: 7.628e-04, eta: 3:17:27, time: 0.652, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3847, loss: 1.3847 2025-05-04 13:31:11,429 - pyskl - INFO - Epoch [134][400/1281] lr: 7.558e-04, eta: 3:16:33, time: 0.643, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3775, loss: 1.3775 2025-05-04 13:32:13,056 - pyskl - INFO - Epoch [134][500/1281] lr: 7.488e-04, eta: 3:15:38, time: 0.616, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3747, loss: 1.3747 2025-05-04 13:33:12,966 - pyskl - INFO - Epoch [134][600/1281] lr: 7.419e-04, eta: 3:14:44, time: 0.599, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3299, loss: 1.3299 2025-05-04 13:34:12,985 - pyskl - INFO - Epoch [134][700/1281] lr: 7.349e-04, eta: 3:13:49, time: 0.600, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3323, loss: 1.3323 2025-05-04 13:35:16,087 - pyskl - INFO - Epoch [134][800/1281] lr: 7.281e-04, eta: 3:12:55, time: 0.631, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3426, loss: 1.3426 2025-05-04 13:36:18,601 - pyskl - INFO - Epoch [134][900/1281] lr: 7.212e-04, eta: 3:12:01, time: 0.625, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3195, loss: 1.3195 2025-05-04 13:37:19,555 - pyskl - INFO - Epoch [134][1000/1281] lr: 7.144e-04, eta: 3:11:06, time: 0.610, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3408, loss: 1.3408 2025-05-04 13:38:18,581 - pyskl - INFO - Epoch [134][1100/1281] lr: 7.076e-04, eta: 3:10:11, time: 0.590, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3168, loss: 1.3168 2025-05-04 13:39:24,046 - pyskl - INFO - Epoch [134][1200/1281] lr: 7.008e-04, eta: 3:09:17, time: 0.655, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3454, loss: 1.3454 2025-05-04 13:40:18,320 - pyskl - INFO - Saving checkpoint at 134 epochs 2025-05-04 13:41:10,006 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 13:41:10,062 - pyskl - INFO - top1_acc 0.9289 top5_acc 0.9953 2025-05-04 13:41:10,062 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 13:41:10,069 - pyskl - INFO - mean_acc 0.9061 2025-05-04 13:41:10,071 - pyskl - INFO - Epoch(val) [134][533] top1_acc: 0.9289, top5_acc: 0.9953, mean_class_accuracy: 0.9061 2025-05-04 13:42:18,944 - pyskl - INFO - Epoch [135][100/1281] lr: 6.887e-04, eta: 3:07:34, time: 0.689, data_time: 0.177, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3397, loss: 1.3397 2025-05-04 13:43:16,723 - pyskl - INFO - Epoch [135][200/1281] lr: 6.820e-04, eta: 3:06:39, time: 0.578, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2956, loss: 1.2956 2025-05-04 13:44:19,524 - pyskl - INFO - Epoch [135][300/1281] lr: 6.753e-04, eta: 3:05:45, time: 0.628, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3408, loss: 1.3408 2025-05-04 13:45:23,899 - pyskl - INFO - Epoch [135][400/1281] lr: 6.687e-04, eta: 3:04:50, time: 0.644, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3241, loss: 1.3241 2025-05-04 13:46:25,550 - pyskl - INFO - Epoch [135][500/1281] lr: 6.622e-04, eta: 3:03:56, time: 0.616, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3614, loss: 1.3614 2025-05-04 13:47:25,638 - pyskl - INFO - Epoch [135][600/1281] lr: 6.556e-04, eta: 3:03:01, time: 0.601, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3346, loss: 1.3346 2025-05-04 13:48:26,403 - pyskl - INFO - Epoch [135][700/1281] lr: 6.491e-04, eta: 3:02:07, time: 0.608, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2956, loss: 1.2956 2025-05-04 13:49:30,549 - pyskl - INFO - Epoch [135][800/1281] lr: 6.426e-04, eta: 3:01:13, time: 0.641, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3612, loss: 1.3612 2025-05-04 13:50:32,744 - pyskl - INFO - Epoch [135][900/1281] lr: 6.362e-04, eta: 3:00:18, time: 0.622, data_time: 0.000, memory: 9000, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3549, loss: 1.3549 2025-05-04 13:51:33,136 - pyskl - INFO - Epoch [135][1000/1281] lr: 6.297e-04, eta: 2:59:24, time: 0.604, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3517, loss: 1.3517 2025-05-04 13:52:32,740 - pyskl - INFO - Epoch [135][1100/1281] lr: 6.233e-04, eta: 2:58:29, time: 0.596, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3600, loss: 1.3600 2025-05-04 13:53:34,948 - pyskl - INFO - Epoch [135][1200/1281] lr: 6.170e-04, eta: 2:57:34, time: 0.622, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3505, loss: 1.3505 2025-05-04 13:54:27,537 - pyskl - INFO - Saving checkpoint at 135 epochs 2025-05-04 13:55:18,358 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 13:55:18,415 - pyskl - INFO - top1_acc 0.9342 top5_acc 0.9953 2025-05-04 13:55:18,415 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 13:55:18,422 - pyskl - INFO - mean_acc 0.9103 2025-05-04 13:55:18,424 - pyskl - INFO - Epoch(val) [135][533] top1_acc: 0.9342, top5_acc: 0.9953, mean_class_accuracy: 0.9103 2025-05-04 13:56:25,888 - pyskl - INFO - Epoch [136][100/1281] lr: 6.056e-04, eta: 2:55:51, time: 0.675, data_time: 0.176, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3216, loss: 1.3216 2025-05-04 13:57:23,349 - pyskl - INFO - Epoch [136][200/1281] lr: 5.993e-04, eta: 2:54:56, time: 0.575, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3211, loss: 1.3211 2025-05-04 13:58:26,072 - pyskl - INFO - Epoch [136][300/1281] lr: 5.931e-04, eta: 2:54:02, time: 0.627, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3134, loss: 1.3134 2025-05-04 13:59:29,364 - pyskl - INFO - Epoch [136][400/1281] lr: 5.868e-04, eta: 2:53:07, time: 0.633, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3590, loss: 1.3590 2025-05-04 14:00:30,286 - pyskl - INFO - Epoch [136][500/1281] lr: 5.807e-04, eta: 2:52:13, time: 0.609, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3612, loss: 1.3612 2025-05-04 14:01:30,355 - pyskl - INFO - Epoch [136][600/1281] lr: 5.745e-04, eta: 2:51:18, time: 0.601, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3147, loss: 1.3147 2025-05-04 14:02:31,800 - pyskl - INFO - Epoch [136][700/1281] lr: 5.684e-04, eta: 2:50:23, time: 0.614, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3418, loss: 1.3418 2025-05-04 14:03:35,243 - pyskl - INFO - Epoch [136][800/1281] lr: 5.623e-04, eta: 2:49:29, time: 0.634, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3368, loss: 1.3368 2025-05-04 14:04:36,904 - pyskl - INFO - Epoch [136][900/1281] lr: 5.563e-04, eta: 2:48:35, time: 0.617, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3181, loss: 1.3181 2025-05-04 14:05:36,205 - pyskl - INFO - Epoch [136][1000/1281] lr: 5.503e-04, eta: 2:47:40, time: 0.593, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3013, loss: 1.3013 2025-05-04 14:06:35,082 - pyskl - INFO - Epoch [136][1100/1281] lr: 5.443e-04, eta: 2:46:45, time: 0.589, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3134, loss: 1.3134 2025-05-04 14:07:37,168 - pyskl - INFO - Epoch [136][1200/1281] lr: 5.384e-04, eta: 2:45:50, time: 0.621, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3407, loss: 1.3407 2025-05-04 14:08:28,276 - pyskl - INFO - Saving checkpoint at 136 epochs 2025-05-04 14:09:18,513 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 14:09:18,568 - pyskl - INFO - top1_acc 0.9331 top5_acc 0.9951 2025-05-04 14:09:18,568 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 14:09:18,574 - pyskl - INFO - mean_acc 0.9095 2025-05-04 14:09:18,577 - pyskl - INFO - Epoch(val) [136][533] top1_acc: 0.9331, top5_acc: 0.9951, mean_class_accuracy: 0.9095 2025-05-04 14:10:26,515 - pyskl - INFO - Epoch [137][100/1281] lr: 5.277e-04, eta: 2:44:07, time: 0.679, data_time: 0.177, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2892, loss: 1.2892 2025-05-04 14:11:26,244 - pyskl - INFO - Epoch [137][200/1281] lr: 5.218e-04, eta: 2:43:12, time: 0.597, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3491, loss: 1.3491 2025-05-04 14:12:32,335 - pyskl - INFO - Epoch [137][300/1281] lr: 5.160e-04, eta: 2:42:18, time: 0.661, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3090, loss: 1.3090 2025-05-04 14:13:36,039 - pyskl - INFO - Epoch [137][400/1281] lr: 5.102e-04, eta: 2:41:24, time: 0.637, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3387, loss: 1.3387 2025-05-04 14:14:37,124 - pyskl - INFO - Epoch [137][500/1281] lr: 5.044e-04, eta: 2:40:29, time: 0.611, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3331, loss: 1.3331 2025-05-04 14:15:36,336 - pyskl - INFO - Epoch [137][600/1281] lr: 4.987e-04, eta: 2:39:34, time: 0.592, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3023, loss: 1.3023 2025-05-04 14:16:39,586 - pyskl - INFO - Epoch [137][700/1281] lr: 4.930e-04, eta: 2:38:40, time: 0.632, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2968, loss: 1.2968 2025-05-04 14:17:43,690 - pyskl - INFO - Epoch [137][800/1281] lr: 4.873e-04, eta: 2:37:46, time: 0.641, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3239, loss: 1.3239 2025-05-04 14:18:44,080 - pyskl - INFO - Epoch [137][900/1281] lr: 4.817e-04, eta: 2:36:51, time: 0.604, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3279, loss: 1.3279 2025-05-04 14:19:46,121 - pyskl - INFO - Epoch [137][1000/1281] lr: 4.761e-04, eta: 2:35:56, time: 0.620, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3574, loss: 1.3574 2025-05-04 14:20:50,326 - pyskl - INFO - Epoch [137][1100/1281] lr: 4.705e-04, eta: 2:35:02, time: 0.642, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3106, loss: 1.3106 2025-05-04 14:21:57,846 - pyskl - INFO - Epoch [137][1200/1281] lr: 4.650e-04, eta: 2:34:08, time: 0.675, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3594, loss: 1.3594 2025-05-04 14:22:50,489 - pyskl - INFO - Saving checkpoint at 137 epochs 2025-05-04 14:23:40,097 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 14:23:40,153 - pyskl - INFO - top1_acc 0.9242 top5_acc 0.9953 2025-05-04 14:23:40,154 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 14:23:40,160 - pyskl - INFO - mean_acc 0.8959 2025-05-04 14:23:40,162 - pyskl - INFO - Epoch(val) [137][533] top1_acc: 0.9242, top5_acc: 0.9953, mean_class_accuracy: 0.8959 2025-05-04 14:24:47,346 - pyskl - INFO - Epoch [138][100/1281] lr: 4.550e-04, eta: 2:32:25, time: 0.672, data_time: 0.177, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3183, loss: 1.3183 2025-05-04 14:25:46,251 - pyskl - INFO - Epoch [138][200/1281] lr: 4.496e-04, eta: 2:31:30, time: 0.589, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3397, loss: 1.3397 2025-05-04 14:26:49,951 - pyskl - INFO - Epoch [138][300/1281] lr: 4.442e-04, eta: 2:30:35, time: 0.637, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2917, loss: 1.2917 2025-05-04 14:27:51,134 - pyskl - INFO - Epoch [138][400/1281] lr: 4.388e-04, eta: 2:29:41, time: 0.612, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3126, loss: 1.3126 2025-05-04 14:28:51,495 - pyskl - INFO - Epoch [138][500/1281] lr: 4.334e-04, eta: 2:28:46, time: 0.604, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3108, loss: 1.3108 2025-05-04 14:29:57,211 - pyskl - INFO - Epoch [138][600/1281] lr: 4.281e-04, eta: 2:27:51, time: 0.657, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3352, loss: 1.3352 2025-05-04 14:31:05,831 - pyskl - INFO - Epoch [138][700/1281] lr: 4.228e-04, eta: 2:26:57, time: 0.686, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3153, loss: 1.3153 2025-05-04 14:32:10,152 - pyskl - INFO - Epoch [138][800/1281] lr: 4.176e-04, eta: 2:26:03, time: 0.643, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3420, loss: 1.3420 2025-05-04 14:33:11,431 - pyskl - INFO - Epoch [138][900/1281] lr: 4.124e-04, eta: 2:25:08, time: 0.613, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3391, loss: 1.3391 2025-05-04 14:34:11,596 - pyskl - INFO - Epoch [138][1000/1281] lr: 4.072e-04, eta: 2:24:13, time: 0.602, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3133, loss: 1.3133 2025-05-04 14:35:13,971 - pyskl - INFO - Epoch [138][1100/1281] lr: 4.020e-04, eta: 2:23:19, time: 0.624, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2951, loss: 1.2951 2025-05-04 14:36:18,278 - pyskl - INFO - Epoch [138][1200/1281] lr: 3.969e-04, eta: 2:22:24, time: 0.643, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2981, loss: 1.2981 2025-05-04 14:37:07,538 - pyskl - INFO - Saving checkpoint at 138 epochs 2025-05-04 14:37:57,632 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 14:37:57,690 - pyskl - INFO - top1_acc 0.9356 top5_acc 0.9954 2025-05-04 14:37:57,690 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 14:37:57,699 - pyskl - INFO - mean_acc 0.9142 2025-05-04 14:37:57,764 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_133.pth was removed 2025-05-04 14:37:59,398 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. 2025-05-04 14:37:59,399 - pyskl - INFO - Best top1_acc is 0.9356 at 138 epoch. 2025-05-04 14:37:59,403 - pyskl - INFO - Epoch(val) [138][533] top1_acc: 0.9356, top5_acc: 0.9954, mean_class_accuracy: 0.9142 2025-05-04 14:39:12,205 - pyskl - INFO - Epoch [139][100/1281] lr: 3.877e-04, eta: 2:20:42, time: 0.728, data_time: 0.185, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3411, loss: 1.3411 2025-05-04 14:40:19,009 - pyskl - INFO - Epoch [139][200/1281] lr: 3.827e-04, eta: 2:19:47, time: 0.668, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3046, loss: 1.3046 2025-05-04 14:41:22,346 - pyskl - INFO - Epoch [139][300/1281] lr: 3.777e-04, eta: 2:18:53, time: 0.633, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3082, loss: 1.3082 2025-05-04 14:42:21,748 - pyskl - INFO - Epoch [139][400/1281] lr: 3.727e-04, eta: 2:17:58, time: 0.594, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3231, loss: 1.3231 2025-05-04 14:43:21,490 - pyskl - INFO - Epoch [139][500/1281] lr: 3.678e-04, eta: 2:17:03, time: 0.597, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3136, loss: 1.3136 2025-05-04 14:44:23,567 - pyskl - INFO - Epoch [139][600/1281] lr: 3.628e-04, eta: 2:16:08, time: 0.621, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3201, loss: 1.3201 2025-05-04 14:45:27,821 - pyskl - INFO - Epoch [139][700/1281] lr: 3.580e-04, eta: 2:15:14, time: 0.643, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3055, loss: 1.3055 2025-05-04 14:46:28,775 - pyskl - INFO - Epoch [139][800/1281] lr: 3.531e-04, eta: 2:14:19, time: 0.610, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3232, loss: 1.3232 2025-05-04 14:47:28,329 - pyskl - INFO - Epoch [139][900/1281] lr: 3.483e-04, eta: 2:13:24, time: 0.596, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3093, loss: 1.3093 2025-05-04 14:48:31,366 - pyskl - INFO - Epoch [139][1000/1281] lr: 3.436e-04, eta: 2:12:29, time: 0.630, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3011, loss: 1.3011 2025-05-04 14:49:40,609 - pyskl - INFO - Epoch [139][1100/1281] lr: 3.388e-04, eta: 2:11:35, time: 0.692, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3425, loss: 1.3425 2025-05-04 14:50:45,133 - pyskl - INFO - Epoch [139][1200/1281] lr: 3.341e-04, eta: 2:10:40, time: 0.645, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3175, loss: 1.3175 2025-05-04 14:51:35,051 - pyskl - INFO - Saving checkpoint at 139 epochs 2025-05-04 14:52:24,524 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 14:52:24,580 - pyskl - INFO - top1_acc 0.9296 top5_acc 0.9953 2025-05-04 14:52:24,581 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 14:52:24,588 - pyskl - INFO - mean_acc 0.9032 2025-05-04 14:52:24,591 - pyskl - INFO - Epoch(val) [139][533] top1_acc: 0.9296, top5_acc: 0.9953, mean_class_accuracy: 0.9032 2025-05-04 14:53:33,222 - pyskl - INFO - Epoch [140][100/1281] lr: 3.257e-04, eta: 2:08:58, time: 0.686, data_time: 0.180, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3311, loss: 1.3311 2025-05-04 14:54:34,598 - pyskl - INFO - Epoch [140][200/1281] lr: 3.210e-04, eta: 2:08:03, time: 0.614, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2983, loss: 1.2983 2025-05-04 14:55:36,166 - pyskl - INFO - Epoch [140][300/1281] lr: 3.165e-04, eta: 2:07:08, time: 0.616, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3185, loss: 1.3185 2025-05-04 14:56:35,117 - pyskl - INFO - Epoch [140][400/1281] lr: 3.119e-04, eta: 2:06:13, time: 0.590, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2944, loss: 1.2944 2025-05-04 14:57:35,275 - pyskl - INFO - Epoch [140][500/1281] lr: 3.074e-04, eta: 2:05:18, time: 0.602, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3658, loss: 1.3658 2025-05-04 14:58:41,543 - pyskl - INFO - Epoch [140][600/1281] lr: 3.029e-04, eta: 2:04:24, time: 0.663, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3066, loss: 1.3066 2025-05-04 14:59:46,277 - pyskl - INFO - Epoch [140][700/1281] lr: 2.984e-04, eta: 2:03:29, time: 0.647, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3394, loss: 1.3394 2025-05-04 15:00:47,511 - pyskl - INFO - Epoch [140][800/1281] lr: 2.940e-04, eta: 2:02:34, time: 0.612, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3226, loss: 1.3226 2025-05-04 15:01:49,029 - pyskl - INFO - Epoch [140][900/1281] lr: 2.896e-04, eta: 2:01:39, time: 0.615, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3327, loss: 1.3327 2025-05-04 15:02:49,839 - pyskl - INFO - Epoch [140][1000/1281] lr: 2.853e-04, eta: 2:00:44, time: 0.608, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3252, loss: 1.3252 2025-05-04 15:03:54,172 - pyskl - INFO - Epoch [140][1100/1281] lr: 2.809e-04, eta: 1:59:50, time: 0.643, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2953, loss: 1.2953 2025-05-04 15:04:56,630 - pyskl - INFO - Epoch [140][1200/1281] lr: 2.767e-04, eta: 1:58:55, time: 0.625, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3225, loss: 1.3225 2025-05-04 15:05:45,774 - pyskl - INFO - Saving checkpoint at 140 epochs 2025-05-04 15:06:34,749 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 15:06:34,811 - pyskl - INFO - top1_acc 0.9349 top5_acc 0.9959 2025-05-04 15:06:34,812 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 15:06:34,819 - pyskl - INFO - mean_acc 0.9117 2025-05-04 15:06:34,822 - pyskl - INFO - Epoch(val) [140][533] top1_acc: 0.9349, top5_acc: 0.9959, mean_class_accuracy: 0.9117 2025-05-04 15:07:44,228 - pyskl - INFO - Epoch [141][100/1281] lr: 2.690e-04, eta: 1:57:12, time: 0.694, data_time: 0.183, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3340, loss: 1.3340 2025-05-04 15:08:45,971 - pyskl - INFO - Epoch [141][200/1281] lr: 2.648e-04, eta: 1:56:18, time: 0.617, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3387, loss: 1.3387 2025-05-04 15:09:46,322 - pyskl - INFO - Epoch [141][300/1281] lr: 2.606e-04, eta: 1:55:23, time: 0.603, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2984, loss: 1.2984 2025-05-04 15:10:46,329 - pyskl - INFO - Epoch [141][400/1281] lr: 2.565e-04, eta: 1:54:28, time: 0.600, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3135, loss: 1.3135 2025-05-04 15:11:46,007 - pyskl - INFO - Epoch [141][500/1281] lr: 2.524e-04, eta: 1:53:32, time: 0.597, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3208, loss: 1.3208 2025-05-04 15:12:48,490 - pyskl - INFO - Epoch [141][600/1281] lr: 2.483e-04, eta: 1:52:38, time: 0.625, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3371, loss: 1.3371 2025-05-04 15:13:51,535 - pyskl - INFO - Epoch [141][700/1281] lr: 2.443e-04, eta: 1:51:43, time: 0.630, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2872, loss: 1.2872 2025-05-04 15:14:51,491 - pyskl - INFO - Epoch [141][800/1281] lr: 2.402e-04, eta: 1:50:48, time: 0.600, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2817, loss: 1.2817 2025-05-04 15:15:50,956 - pyskl - INFO - Epoch [141][900/1281] lr: 2.363e-04, eta: 1:49:53, time: 0.595, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2682, loss: 1.2682 2025-05-04 15:16:51,483 - pyskl - INFO - Epoch [141][1000/1281] lr: 2.323e-04, eta: 1:48:58, time: 0.605, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3005, loss: 1.3005 2025-05-04 15:17:56,424 - pyskl - INFO - Epoch [141][1100/1281] lr: 2.284e-04, eta: 1:48:03, time: 0.649, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2985, loss: 1.2985 2025-05-04 15:18:58,571 - pyskl - INFO - Epoch [141][1200/1281] lr: 2.246e-04, eta: 1:47:08, time: 0.621, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3297, loss: 1.3297 2025-05-04 15:19:48,390 - pyskl - INFO - Saving checkpoint at 141 epochs 2025-05-04 15:20:37,768 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 15:20:37,831 - pyskl - INFO - top1_acc 0.9347 top5_acc 0.9953 2025-05-04 15:20:37,831 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 15:20:37,842 - pyskl - INFO - mean_acc 0.9108 2025-05-04 15:20:37,845 - pyskl - INFO - Epoch(val) [141][533] top1_acc: 0.9347, top5_acc: 0.9953, mean_class_accuracy: 0.9108 2025-05-04 15:21:46,995 - pyskl - INFO - Epoch [142][100/1281] lr: 2.176e-04, eta: 1:45:26, time: 0.691, data_time: 0.181, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2587, loss: 1.2587 2025-05-04 15:22:47,951 - pyskl - INFO - Epoch [142][200/1281] lr: 2.139e-04, eta: 1:44:31, time: 0.610, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3061, loss: 1.3061 2025-05-04 15:23:47,759 - pyskl - INFO - Epoch [142][300/1281] lr: 2.101e-04, eta: 1:43:36, time: 0.598, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2996, loss: 1.2996 2025-05-04 15:24:47,520 - pyskl - INFO - Epoch [142][400/1281] lr: 2.064e-04, eta: 1:42:41, time: 0.598, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3162, loss: 1.3162 2025-05-04 15:25:46,606 - pyskl - INFO - Epoch [142][500/1281] lr: 2.027e-04, eta: 1:41:45, time: 0.591, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3309, loss: 1.3309 2025-05-04 15:26:49,377 - pyskl - INFO - Epoch [142][600/1281] lr: 1.991e-04, eta: 1:40:51, time: 0.628, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3134, loss: 1.3134 2025-05-04 15:27:53,810 - pyskl - INFO - Epoch [142][700/1281] lr: 1.954e-04, eta: 1:39:56, time: 0.644, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3280, loss: 1.3280 2025-05-04 15:28:54,532 - pyskl - INFO - Epoch [142][800/1281] lr: 1.919e-04, eta: 1:39:01, time: 0.607, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2905, loss: 1.2905 2025-05-04 15:29:58,187 - pyskl - INFO - Epoch [142][900/1281] lr: 1.883e-04, eta: 1:38:06, time: 0.637, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3089, loss: 1.3089 2025-05-04 15:31:02,493 - pyskl - INFO - Epoch [142][1000/1281] lr: 1.848e-04, eta: 1:37:11, time: 0.643, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2966, loss: 1.2966 2025-05-04 15:32:09,534 - pyskl - INFO - Epoch [142][1100/1281] lr: 1.813e-04, eta: 1:36:16, time: 0.670, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3344, loss: 1.3344 2025-05-04 15:33:10,407 - pyskl - INFO - Epoch [142][1200/1281] lr: 1.779e-04, eta: 1:35:21, time: 0.609, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3075, loss: 1.3075 2025-05-04 15:33:58,162 - pyskl - INFO - Saving checkpoint at 142 epochs 2025-05-04 15:34:45,282 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 15:34:45,339 - pyskl - INFO - top1_acc 0.9335 top5_acc 0.9955 2025-05-04 15:34:45,339 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 15:34:45,346 - pyskl - INFO - mean_acc 0.9090 2025-05-04 15:34:45,348 - pyskl - INFO - Epoch(val) [142][533] top1_acc: 0.9335, top5_acc: 0.9955, mean_class_accuracy: 0.9090 2025-05-04 15:35:52,857 - pyskl - INFO - Epoch [143][100/1281] lr: 1.717e-04, eta: 1:33:39, time: 0.675, data_time: 0.184, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3355, loss: 1.3355 2025-05-04 15:36:51,029 - pyskl - INFO - Epoch [143][200/1281] lr: 1.683e-04, eta: 1:32:44, time: 0.582, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3307, loss: 1.3307 2025-05-04 15:37:49,465 - pyskl - INFO - Epoch [143][300/1281] lr: 1.650e-04, eta: 1:31:49, time: 0.584, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2702, loss: 1.2702 2025-05-04 15:38:51,835 - pyskl - INFO - Epoch [143][400/1281] lr: 1.617e-04, eta: 1:30:54, time: 0.624, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2790, loss: 1.2790 2025-05-04 15:39:55,205 - pyskl - INFO - Epoch [143][500/1281] lr: 1.585e-04, eta: 1:29:59, time: 0.634, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3104, loss: 1.3104 2025-05-04 15:41:03,061 - pyskl - INFO - Epoch [143][600/1281] lr: 1.552e-04, eta: 1:29:04, time: 0.679, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3591, loss: 1.3591 2025-05-04 15:42:05,713 - pyskl - INFO - Epoch [143][700/1281] lr: 1.520e-04, eta: 1:28:09, time: 0.627, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3337, loss: 1.3337 2025-05-04 15:43:06,540 - pyskl - INFO - Epoch [143][800/1281] lr: 1.489e-04, eta: 1:27:14, time: 0.608, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3162, loss: 1.3162 2025-05-04 15:44:06,366 - pyskl - INFO - Epoch [143][900/1281] lr: 1.457e-04, eta: 1:26:19, time: 0.598, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3042, loss: 1.3042 2025-05-04 15:45:07,844 - pyskl - INFO - Epoch [143][1000/1281] lr: 1.426e-04, eta: 1:25:24, time: 0.615, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3009, loss: 1.3009 2025-05-04 15:46:11,389 - pyskl - INFO - Epoch [143][1100/1281] lr: 1.396e-04, eta: 1:24:29, time: 0.635, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3027, loss: 1.3027 2025-05-04 15:47:12,935 - pyskl - INFO - Epoch [143][1200/1281] lr: 1.366e-04, eta: 1:23:33, time: 0.615, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3353, loss: 1.3353 2025-05-04 15:48:03,249 - pyskl - INFO - Saving checkpoint at 143 epochs 2025-05-04 15:48:54,375 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 15:48:54,441 - pyskl - INFO - top1_acc 0.9282 top5_acc 0.9958 2025-05-04 15:48:54,442 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 15:48:54,454 - pyskl - INFO - mean_acc 0.9018 2025-05-04 15:48:54,459 - pyskl - INFO - Epoch(val) [143][533] top1_acc: 0.9282, top5_acc: 0.9958, mean_class_accuracy: 0.9018 2025-05-04 15:50:07,504 - pyskl - INFO - Epoch [144][100/1281] lr: 1.312e-04, eta: 1:21:52, time: 0.730, data_time: 0.182, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3286, loss: 1.3286 2025-05-04 15:51:09,379 - pyskl - INFO - Epoch [144][200/1281] lr: 1.282e-04, eta: 1:20:57, time: 0.619, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3201, loss: 1.3201 2025-05-04 15:52:10,536 - pyskl - INFO - Epoch [144][300/1281] lr: 1.253e-04, eta: 1:20:02, time: 0.612, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2997, loss: 1.2997 2025-05-04 15:53:09,464 - pyskl - INFO - Epoch [144][400/1281] lr: 1.224e-04, eta: 1:19:06, time: 0.589, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3002, loss: 1.3002 2025-05-04 15:54:09,691 - pyskl - INFO - Epoch [144][500/1281] lr: 1.196e-04, eta: 1:18:11, time: 0.602, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2492, loss: 1.2492 2025-05-04 15:55:14,311 - pyskl - INFO - Epoch [144][600/1281] lr: 1.168e-04, eta: 1:17:16, time: 0.646, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3085, loss: 1.3085 2025-05-04 15:56:16,741 - pyskl - INFO - Epoch [144][700/1281] lr: 1.140e-04, eta: 1:16:21, time: 0.624, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3184, loss: 1.3184 2025-05-04 15:57:16,652 - pyskl - INFO - Epoch [144][800/1281] lr: 1.113e-04, eta: 1:15:26, time: 0.599, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3083, loss: 1.3083 2025-05-04 15:58:17,611 - pyskl - INFO - Epoch [144][900/1281] lr: 1.086e-04, eta: 1:14:31, time: 0.610, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3022, loss: 1.3022 2025-05-04 15:59:23,392 - pyskl - INFO - Epoch [144][1000/1281] lr: 1.059e-04, eta: 1:13:36, time: 0.658, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3092, loss: 1.3092 2025-05-04 16:00:29,116 - pyskl - INFO - Epoch [144][1100/1281] lr: 1.033e-04, eta: 1:12:41, time: 0.657, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3275, loss: 1.3275 2025-05-04 16:01:30,034 - pyskl - INFO - Epoch [144][1200/1281] lr: 1.007e-04, eta: 1:11:45, time: 0.609, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3237, loss: 1.3237 2025-05-04 16:02:18,443 - pyskl - INFO - Saving checkpoint at 144 epochs 2025-05-04 16:03:07,512 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 16:03:07,574 - pyskl - INFO - top1_acc 0.9356 top5_acc 0.9960 2025-05-04 16:03:07,574 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 16:03:07,583 - pyskl - INFO - mean_acc 0.9113 2025-05-04 16:03:07,587 - pyskl - INFO - Epoch(val) [144][533] top1_acc: 0.9356, top5_acc: 0.9960, mean_class_accuracy: 0.9113 2025-05-04 16:04:19,146 - pyskl - INFO - Epoch [145][100/1281] lr: 9.605e-05, eta: 1:10:04, time: 0.716, data_time: 0.184, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3015, loss: 1.3015 2025-05-04 16:05:19,545 - pyskl - INFO - Epoch [145][200/1281] lr: 9.353e-05, eta: 1:09:09, time: 0.604, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2895, loss: 1.2895 2025-05-04 16:06:19,846 - pyskl - INFO - Epoch [145][300/1281] lr: 9.106e-05, eta: 1:08:13, time: 0.603, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3183, loss: 1.3183 2025-05-04 16:07:20,499 - pyskl - INFO - Epoch [145][400/1281] lr: 8.861e-05, eta: 1:07:18, time: 0.607, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3254, loss: 1.3254 2025-05-04 16:08:25,078 - pyskl - INFO - Epoch [145][500/1281] lr: 8.620e-05, eta: 1:06:23, time: 0.646, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3598, loss: 1.3598 2025-05-04 16:09:30,849 - pyskl - INFO - Epoch [145][600/1281] lr: 8.382e-05, eta: 1:05:28, time: 0.658, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3112, loss: 1.3112 2025-05-04 16:10:32,930 - pyskl - INFO - Epoch [145][700/1281] lr: 8.147e-05, eta: 1:04:33, time: 0.621, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2672, loss: 1.2672 2025-05-04 16:11:33,076 - pyskl - INFO - Epoch [145][800/1281] lr: 7.916e-05, eta: 1:03:38, time: 0.601, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3119, loss: 1.3119 2025-05-04 16:12:33,604 - pyskl - INFO - Epoch [145][900/1281] lr: 7.688e-05, eta: 1:02:42, time: 0.605, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3298, loss: 1.3298 2025-05-04 16:13:37,577 - pyskl - INFO - Epoch [145][1000/1281] lr: 7.463e-05, eta: 1:01:47, time: 0.640, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2681, loss: 1.2681 2025-05-04 16:14:40,700 - pyskl - INFO - Epoch [145][1100/1281] lr: 7.242e-05, eta: 1:00:52, time: 0.631, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2719, loss: 1.2719 2025-05-04 16:15:41,709 - pyskl - INFO - Epoch [145][1200/1281] lr: 7.024e-05, eta: 0:59:57, time: 0.610, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2708, loss: 1.2708 2025-05-04 16:16:30,497 - pyskl - INFO - Saving checkpoint at 145 epochs 2025-05-04 16:17:20,032 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 16:17:20,089 - pyskl - INFO - top1_acc 0.9342 top5_acc 0.9955 2025-05-04 16:17:20,089 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 16:17:20,097 - pyskl - INFO - mean_acc 0.9093 2025-05-04 16:17:20,099 - pyskl - INFO - Epoch(val) [145][533] top1_acc: 0.9342, top5_acc: 0.9955, mean_class_accuracy: 0.9093 2025-05-04 16:18:31,279 - pyskl - INFO - Epoch [146][100/1281] lr: 6.638e-05, eta: 0:58:15, time: 0.712, data_time: 0.181, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3239, loss: 1.3239 2025-05-04 16:19:32,133 - pyskl - INFO - Epoch [146][200/1281] lr: 6.429e-05, eta: 0:57:20, time: 0.609, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2854, loss: 1.2854 2025-05-04 16:20:31,235 - pyskl - INFO - Epoch [146][300/1281] lr: 6.224e-05, eta: 0:56:25, time: 0.591, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2909, loss: 1.2909 2025-05-04 16:21:31,121 - pyskl - INFO - Epoch [146][400/1281] lr: 6.022e-05, eta: 0:55:30, time: 0.599, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3118, loss: 1.3118 2025-05-04 16:22:34,176 - pyskl - INFO - Epoch [146][500/1281] lr: 5.823e-05, eta: 0:54:34, time: 0.631, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3157, loss: 1.3157 2025-05-04 16:23:39,026 - pyskl - INFO - Epoch [146][600/1281] lr: 5.628e-05, eta: 0:53:39, time: 0.649, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3170, loss: 1.3170 2025-05-04 16:24:39,893 - pyskl - INFO - Epoch [146][700/1281] lr: 5.436e-05, eta: 0:52:44, time: 0.609, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2595, loss: 1.2595 2025-05-04 16:25:38,934 - pyskl - INFO - Epoch [146][800/1281] lr: 5.247e-05, eta: 0:51:49, time: 0.590, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3018, loss: 1.3018 2025-05-04 16:26:39,408 - pyskl - INFO - Epoch [146][900/1281] lr: 5.061e-05, eta: 0:50:53, time: 0.605, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3174, loss: 1.3174 2025-05-04 16:27:43,935 - pyskl - INFO - Epoch [146][1000/1281] lr: 4.879e-05, eta: 0:49:58, time: 0.645, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3086, loss: 1.3086 2025-05-04 16:28:46,231 - pyskl - INFO - Epoch [146][1100/1281] lr: 4.701e-05, eta: 0:49:03, time: 0.623, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2992, loss: 1.2992 2025-05-04 16:29:46,430 - pyskl - INFO - Epoch [146][1200/1281] lr: 4.525e-05, eta: 0:48:07, time: 0.602, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3137, loss: 1.3137 2025-05-04 16:30:34,402 - pyskl - INFO - Saving checkpoint at 146 epochs 2025-05-04 16:31:24,355 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 16:31:24,414 - pyskl - INFO - top1_acc 0.9360 top5_acc 0.9955 2025-05-04 16:31:24,414 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 16:31:24,423 - pyskl - INFO - mean_acc 0.9130 2025-05-04 16:31:24,485 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_138.pth was removed 2025-05-04 16:31:26,091 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_146.pth. 2025-05-04 16:31:26,092 - pyskl - INFO - Best top1_acc is 0.9360 at 146 epoch. 2025-05-04 16:31:26,095 - pyskl - INFO - Epoch(val) [146][533] top1_acc: 0.9360, top5_acc: 0.9955, mean_class_accuracy: 0.9130 2025-05-04 16:32:38,835 - pyskl - INFO - Epoch [147][100/1281] lr: 4.216e-05, eta: 0:46:26, time: 0.727, data_time: 0.181, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2567, loss: 1.2567 2025-05-04 16:33:38,853 - pyskl - INFO - Epoch [147][200/1281] lr: 4.050e-05, eta: 0:45:31, time: 0.600, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3071, loss: 1.3071 2025-05-04 16:34:38,993 - pyskl - INFO - Epoch [147][300/1281] lr: 3.887e-05, eta: 0:44:35, time: 0.601, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2939, loss: 1.2939 2025-05-04 16:35:39,206 - pyskl - INFO - Epoch [147][400/1281] lr: 3.728e-05, eta: 0:43:40, time: 0.602, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2954, loss: 1.2954 2025-05-04 16:36:42,940 - pyskl - INFO - Epoch [147][500/1281] lr: 3.572e-05, eta: 0:42:45, time: 0.637, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2878, loss: 1.2878 2025-05-04 16:37:46,143 - pyskl - INFO - Epoch [147][600/1281] lr: 3.419e-05, eta: 0:41:50, time: 0.632, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3024, loss: 1.3024 2025-05-04 16:38:49,672 - pyskl - INFO - Epoch [147][700/1281] lr: 3.270e-05, eta: 0:40:54, time: 0.635, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2789, loss: 1.2789 2025-05-04 16:39:51,071 - pyskl - INFO - Epoch [147][800/1281] lr: 3.124e-05, eta: 0:39:59, time: 0.614, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2861, loss: 1.2861 2025-05-04 16:40:53,475 - pyskl - INFO - Epoch [147][900/1281] lr: 2.981e-05, eta: 0:39:04, time: 0.624, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2933, loss: 1.2933 2025-05-04 16:41:59,381 - pyskl - INFO - Epoch [147][1000/1281] lr: 2.842e-05, eta: 0:38:08, time: 0.659, data_time: 0.000, memory: 9000, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.3100, loss: 1.3100 2025-05-04 16:43:01,541 - pyskl - INFO - Epoch [147][1100/1281] lr: 2.706e-05, eta: 0:37:13, time: 0.622, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3157, loss: 1.3157 2025-05-04 16:44:02,643 - pyskl - INFO - Epoch [147][1200/1281] lr: 2.573e-05, eta: 0:36:18, time: 0.611, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2843, loss: 1.2843 2025-05-04 16:44:51,442 - pyskl - INFO - Saving checkpoint at 147 epochs 2025-05-04 16:45:42,846 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 16:45:42,903 - pyskl - INFO - top1_acc 0.9365 top5_acc 0.9958 2025-05-04 16:45:42,903 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 16:45:42,910 - pyskl - INFO - mean_acc 0.9143 2025-05-04 16:45:42,967 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/finegym/bm/best_top1_acc_epoch_146.pth was removed 2025-05-04 16:45:44,520 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_147.pth. 2025-05-04 16:45:44,521 - pyskl - INFO - Best top1_acc is 0.9365 at 147 epoch. 2025-05-04 16:45:44,527 - pyskl - INFO - Epoch(val) [147][533] top1_acc: 0.9365, top5_acc: 0.9958, mean_class_accuracy: 0.9143 2025-05-04 16:46:54,813 - pyskl - INFO - Epoch [148][100/1281] lr: 2.341e-05, eta: 0:34:37, time: 0.703, data_time: 0.180, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3291, loss: 1.3291 2025-05-04 16:47:56,165 - pyskl - INFO - Epoch [148][200/1281] lr: 2.218e-05, eta: 0:33:41, time: 0.614, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2769, loss: 1.2769 2025-05-04 16:48:59,190 - pyskl - INFO - Epoch [148][300/1281] lr: 2.098e-05, eta: 0:32:46, time: 0.630, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2953, loss: 1.2953 2025-05-04 16:50:01,864 - pyskl - INFO - Epoch [148][400/1281] lr: 1.981e-05, eta: 0:31:50, time: 0.627, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3257, loss: 1.3257 2025-05-04 16:51:08,809 - pyskl - INFO - Epoch [148][500/1281] lr: 1.868e-05, eta: 0:30:55, time: 0.669, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3181, loss: 1.3181 2025-05-04 16:52:11,871 - pyskl - INFO - Epoch [148][600/1281] lr: 1.758e-05, eta: 0:30:00, time: 0.631, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2723, loss: 1.2723 2025-05-04 16:53:12,265 - pyskl - INFO - Epoch [148][700/1281] lr: 1.651e-05, eta: 0:29:04, time: 0.604, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2998, loss: 1.2998 2025-05-04 16:54:12,165 - pyskl - INFO - Epoch [148][800/1281] lr: 1.548e-05, eta: 0:28:09, time: 0.599, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2798, loss: 1.2798 2025-05-04 16:55:14,999 - pyskl - INFO - Epoch [148][900/1281] lr: 1.448e-05, eta: 0:27:13, time: 0.628, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2749, loss: 1.2749 2025-05-04 16:56:18,623 - pyskl - INFO - Epoch [148][1000/1281] lr: 1.351e-05, eta: 0:26:18, time: 0.636, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2899, loss: 1.2899 2025-05-04 16:57:19,375 - pyskl - INFO - Epoch [148][1100/1281] lr: 1.258e-05, eta: 0:25:23, time: 0.608, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2844, loss: 1.2844 2025-05-04 16:58:22,172 - pyskl - INFO - Epoch [148][1200/1281] lr: 1.168e-05, eta: 0:24:27, time: 0.628, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2927, loss: 1.2927 2025-05-04 16:59:13,944 - pyskl - INFO - Saving checkpoint at 148 epochs 2025-05-04 17:00:08,144 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 17:00:08,204 - pyskl - INFO - top1_acc 0.9365 top5_acc 0.9957 2025-05-04 17:00:08,205 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 17:00:08,211 - pyskl - INFO - mean_acc 0.9141 2025-05-04 17:00:08,214 - pyskl - INFO - Epoch(val) [148][533] top1_acc: 0.9365, top5_acc: 0.9957, mean_class_accuracy: 0.9141 2025-05-04 17:01:18,168 - pyskl - INFO - Epoch [149][100/1281] lr: 1.013e-05, eta: 0:22:46, time: 0.699, data_time: 0.177, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3177, loss: 1.3177 2025-05-04 17:02:17,237 - pyskl - INFO - Epoch [149][200/1281] lr: 9.328e-06, eta: 0:21:51, time: 0.591, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3066, loss: 1.3066 2025-05-04 17:03:15,874 - pyskl - INFO - Epoch [149][300/1281] lr: 8.555e-06, eta: 0:20:55, time: 0.586, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3112, loss: 1.3112 2025-05-04 17:04:17,121 - pyskl - INFO - Epoch [149][400/1281] lr: 7.816e-06, eta: 0:20:00, time: 0.612, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3205, loss: 1.3205 2025-05-04 17:05:21,229 - pyskl - INFO - Epoch [149][500/1281] lr: 7.110e-06, eta: 0:19:04, time: 0.641, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2991, loss: 1.2991 2025-05-04 17:06:24,683 - pyskl - INFO - Epoch [149][600/1281] lr: 6.437e-06, eta: 0:18:09, time: 0.635, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3116, loss: 1.3116 2025-05-04 17:07:27,766 - pyskl - INFO - Epoch [149][700/1281] lr: 5.798e-06, eta: 0:17:14, time: 0.631, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3062, loss: 1.3062 2025-05-04 17:08:30,988 - pyskl - INFO - Epoch [149][800/1281] lr: 5.192e-06, eta: 0:16:18, time: 0.632, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3573, loss: 1.3573 2025-05-04 17:09:36,545 - pyskl - INFO - Epoch [149][900/1281] lr: 4.620e-06, eta: 0:15:23, time: 0.656, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3128, loss: 1.3128 2025-05-04 17:10:40,037 - pyskl - INFO - Epoch [149][1000/1281] lr: 4.081e-06, eta: 0:14:27, time: 0.635, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3200, loss: 1.3200 2025-05-04 17:11:41,338 - pyskl - INFO - Epoch [149][1100/1281] lr: 3.576e-06, eta: 0:13:32, time: 0.613, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3301, loss: 1.3301 2025-05-04 17:12:42,473 - pyskl - INFO - Epoch [149][1200/1281] lr: 3.104e-06, eta: 0:12:36, time: 0.611, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3066, loss: 1.3066 2025-05-04 17:13:32,606 - pyskl - INFO - Saving checkpoint at 149 epochs 2025-05-04 17:14:26,119 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 17:14:26,175 - pyskl - INFO - top1_acc 0.9357 top5_acc 0.9955 2025-05-04 17:14:26,175 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 17:14:26,181 - pyskl - INFO - mean_acc 0.9123 2025-05-04 17:14:26,184 - pyskl - INFO - Epoch(val) [149][533] top1_acc: 0.9357, top5_acc: 0.9955, mean_class_accuracy: 0.9123 2025-05-04 17:15:35,695 - pyskl - INFO - Epoch [150][100/1281] lr: 2.334e-06, eta: 0:10:55, time: 0.695, data_time: 0.178, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2907, loss: 1.2907 2025-05-04 17:16:34,457 - pyskl - INFO - Epoch [150][200/1281] lr: 1.956e-06, eta: 0:10:00, time: 0.588, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3112, loss: 1.3112 2025-05-04 17:17:35,475 - pyskl - INFO - Epoch [150][300/1281] lr: 1.611e-06, eta: 0:09:04, time: 0.610, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2577, loss: 1.2577 2025-05-04 17:18:39,839 - pyskl - INFO - Epoch [150][400/1281] lr: 1.300e-06, eta: 0:08:09, time: 0.644, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2783, loss: 1.2783 2025-05-04 17:19:43,966 - pyskl - INFO - Epoch [150][500/1281] lr: 1.022e-06, eta: 0:07:13, time: 0.641, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2882, loss: 1.2882 2025-05-04 17:20:45,351 - pyskl - INFO - Epoch [150][600/1281] lr: 7.771e-07, eta: 0:06:18, time: 0.614, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2939, loss: 1.2939 2025-05-04 17:21:45,841 - pyskl - INFO - Epoch [150][700/1281] lr: 5.659e-07, eta: 0:05:22, time: 0.605, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3172, loss: 1.3172 2025-05-04 17:22:46,981 - pyskl - INFO - Epoch [150][800/1281] lr: 3.881e-07, eta: 0:04:27, time: 0.611, data_time: 0.000, memory: 9000, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2845, loss: 1.2845 2025-05-04 17:23:50,865 - pyskl - INFO - Epoch [150][900/1281] lr: 2.438e-07, eta: 0:03:31, time: 0.639, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2919, loss: 1.2919 2025-05-04 17:24:53,243 - pyskl - INFO - Epoch [150][1000/1281] lr: 1.329e-07, eta: 0:02:36, time: 0.624, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3159, loss: 1.3159 2025-05-04 17:25:53,257 - pyskl - INFO - Epoch [150][1100/1281] lr: 5.534e-08, eta: 0:01:40, time: 0.600, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.3229, loss: 1.3229 2025-05-04 17:26:53,852 - pyskl - INFO - Epoch [150][1200/1281] lr: 1.123e-08, eta: 0:00:45, time: 0.606, data_time: 0.000, memory: 9000, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2953, loss: 1.2953 2025-05-04 17:27:46,703 - pyskl - INFO - Saving checkpoint at 150 epochs 2025-05-04 17:28:39,737 - pyskl - INFO - Evaluating top_k_accuracy ... 2025-05-04 17:28:39,793 - pyskl - INFO - top1_acc 0.9301 top5_acc 0.9958 2025-05-04 17:28:39,793 - pyskl - INFO - Evaluating mean_class_accuracy ... 2025-05-04 17:28:39,800 - pyskl - INFO - mean_acc 0.9033 2025-05-04 17:28:39,803 - pyskl - INFO - Epoch(val) [150][533] top1_acc: 0.9301, top5_acc: 0.9958, mean_class_accuracy: 0.9033 2025-05-04 17:28:44,318 - pyskl - INFO - 8521 videos remain after valid thresholding 2025-05-04 17:35:09,306 - pyskl - INFO - Testing results of the last checkpoint 2025-05-04 17:35:09,306 - pyskl - INFO - top1_acc: 0.9336 2025-05-04 17:35:09,307 - pyskl - INFO - top5_acc: 0.9959 2025-05-04 17:35:09,307 - pyskl - INFO - mean_class_accuracy: 0.9072 2025-05-04 17:35:09,307 - pyskl - INFO - load checkpoint from local path: ./work_dirs/finegym/bm/best_top1_acc_epoch_147.pth 2025-05-04 17:41:38,057 - pyskl - INFO - Testing results of the best checkpoint 2025-05-04 17:41:38,057 - pyskl - INFO - top1_acc: 0.9389 2025-05-04 17:41:38,058 - pyskl - INFO - top5_acc: 0.9960 2025-05-04 17:41:38,058 - pyskl - INFO - mean_class_accuracy: 0.9166