2023-12-29 09:34:38,268 - 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: NVIDIA GeForce RTX 3090 CUDA_HOME: /usr/local NVCC: Cuda compilation tools, release 11.5, V11.5.50 GCC: gcc (Ubuntu 7.5.0-6ubuntu2) 7.5.0 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: 4.8.1 MMCV: 1.5.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.3 pyskl: 0.1.0+ ------------------------------------------------------------ 2023-12-29 09:34:39,249 - pyskl - INFO - Config: modality = 'b' graph = 'coco_new' work_dir = './work_dirs/test_prototype/k400/b_1' model = dict( type='RecognizerGCN_7_1_1', backbone=dict( type='GCN_7_1_1', 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_7_4_13', num_classes=400, in_channels=384)) memcached = True mc_cfg = ('localhost', 22077) dataset_type = 'PoseDataset' ann_file = '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/k400/k400_hrnet.pkl' left_kp = [1, 3, 5, 7, 9, 11, 13, 15] right_kp = [2, 4, 6, 8, 10, 12, 14, 16] box_thr = 0.5 valid_ratio = 0.0 train_pipeline = [ dict(type='DecompressPose', squeeze=True), 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=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] val_pipeline = [ dict(type='DecompressPose', squeeze=True), dict(type='UniformSampleFrames', clip_len=100, num_clips=1), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] test_pipeline = [ dict(type='DecompressPose', squeeze=True), dict(type='UniformSampleFrames', clip_len=100, num_clips=10), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] data = dict( videos_per_gpu=64, workers_per_gpu=16, test_dataloader=dict(videos_per_gpu=1), train=dict( type='PoseDataset', ann_file= '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/k400/k400_hrnet.pkl', split='train', pipeline=[ dict(type='DecompressPose', squeeze=True), 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=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], box_thr=0.5, valid_ratio=0.0, memcached=True, mc_cfg=('localhost', 22077)), val=dict( type='PoseDataset', ann_file= '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/k400/k400_hrnet.pkl', split='val', pipeline=[ dict(type='DecompressPose', squeeze=True), dict(type='UniformSampleFrames', clip_len=100, num_clips=1), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], box_thr=0.5, memcached=True, mc_cfg=('localhost', 22077)), test=dict( type='PoseDataset', ann_file= '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/k400/k400_hrnet.pkl', split='val', pipeline=[ dict(type='DecompressPose', squeeze=True), dict(type='UniformSampleFrames', clip_len=100, num_clips=10), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], box_thr=0.5, memcached=True, mc_cfg=('localhost', 22077))) optimizer = dict( type='SGD', lr=0.1, 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) 2023-12-29 09:34:39,249 - pyskl - INFO - Set random seed to 708982715, deterministic: False 2023-12-29 09:34:49,585 - pyskl - INFO - 239737 videos remain after valid thresholding 2023-12-29 09:35:03,938 - pyskl - INFO - 19743 videos remain after valid thresholding 2023-12-29 09:35:03,940 - pyskl - INFO - Start running, host: hao.wang@gdp, work_dir: /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1 2023-12-29 09:35:03,945 - pyskl - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) CheckpointHook (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 ) CheckpointHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (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 -------------------- 2023-12-29 09:35:03,968 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2023-12-29 09:35:03,971 - pyskl - INFO - Checkpoints will be saved to /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1 by HardDiskBackend. 2023-12-29 09:38:22,328 - pyskl - INFO - Epoch [1][100/3746] lr: 1.000e-01, eta: 12 days, 21:32:16, time: 1.984, data_time: 1.369, memory: 16177, top1_acc: 0.0059, top5_acc: 0.0312, loss_cls: 9.5122, loss: 9.5122 2023-12-29 09:39:22,626 - pyskl - INFO - Epoch [1][200/3746] lr: 1.000e-01, eta: 8 days, 9:46:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.0131, top5_acc: 0.0531, loss_cls: 9.2005, loss: 9.2005 2023-12-29 09:40:23,533 - pyskl - INFO - Epoch [1][300/3746] lr: 1.000e-01, eta: 6 days, 22:10:03, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.0195, top5_acc: 0.0838, loss_cls: 9.0323, loss: 9.0323 2023-12-29 09:41:24,858 - pyskl - INFO - Epoch [1][400/3746] lr: 1.000e-01, eta: 6 days, 4:30:54, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.0247, top5_acc: 0.0980, loss_cls: 8.9252, loss: 8.9252 2023-12-29 09:42:26,547 - pyskl - INFO - Epoch [1][500/3746] lr: 1.000e-01, eta: 5 days, 18:01:49, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.0286, top5_acc: 0.1058, loss_cls: 8.8144, loss: 8.8144 2023-12-29 09:43:27,902 - pyskl - INFO - Epoch [1][600/3746] lr: 1.000e-01, eta: 5 days, 10:56:54, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.0273, top5_acc: 0.1070, loss_cls: 8.9320, loss: 8.9320 2023-12-29 09:44:28,842 - pyskl - INFO - Epoch [1][700/3746] lr: 1.000e-01, eta: 5 days, 5:47:32, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.0302, top5_acc: 0.1184, loss_cls: 9.1815, loss: 9.1815 2023-12-29 09:45:29,596 - pyskl - INFO - Epoch [1][800/3746] lr: 1.000e-01, eta: 5 days, 1:53:06, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.0378, top5_acc: 0.1389, loss_cls: 10.0855, loss: 10.0855 2023-12-29 09:46:30,734 - pyskl - INFO - Epoch [1][900/3746] lr: 1.000e-01, eta: 4 days, 22:54:31, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.0369, top5_acc: 0.1308, loss_cls: 10.0888, loss: 10.0888 2023-12-29 09:47:32,433 - pyskl - INFO - Epoch [1][1000/3746] lr: 1.000e-01, eta: 4 days, 20:36:42, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.0420, top5_acc: 0.1411, loss_cls: 9.4068, loss: 9.4068 2023-12-29 09:48:34,113 - pyskl - INFO - Epoch [1][1100/3746] lr: 1.000e-01, eta: 4 days, 18:43:34, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.0459, top5_acc: 0.1486, loss_cls: 9.3775, loss: 9.3775 2023-12-29 09:49:35,256 - pyskl - INFO - Epoch [1][1200/3746] lr: 1.000e-01, eta: 4 days, 17:04:58, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.0422, top5_acc: 0.1441, loss_cls: 9.8653, loss: 9.8653 2023-12-29 09:50:36,682 - pyskl - INFO - Epoch [1][1300/3746] lr: 1.000e-01, eta: 4 days, 15:43:23, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.0494, top5_acc: 0.1594, loss_cls: 10.0835, loss: 10.0835 2023-12-29 09:51:37,951 - pyskl - INFO - Epoch [1][1400/3746] lr: 1.000e-01, eta: 4 days, 14:32:17, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.0495, top5_acc: 0.1647, loss_cls: 9.9599, loss: 9.9599 2023-12-29 09:52:39,510 - pyskl - INFO - Epoch [1][1500/3746] lr: 1.000e-01, eta: 4 days, 13:32:19, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.0522, top5_acc: 0.1730, loss_cls: 9.9747, loss: 9.9747 2023-12-29 09:53:40,465 - pyskl - INFO - Epoch [1][1600/3746] lr: 1.000e-01, eta: 4 days, 12:36:13, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.0577, top5_acc: 0.1862, loss_cls: 9.9760, loss: 9.9760 2023-12-29 09:54:41,170 - pyskl - INFO - Epoch [1][1700/3746] lr: 1.000e-01, eta: 4 days, 11:45:12, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.0539, top5_acc: 0.1767, loss_cls: 9.8402, loss: 9.8402 2023-12-29 09:55:41,941 - pyskl - INFO - Epoch [1][1800/3746] lr: 1.000e-01, eta: 4 days, 11:00:06, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.0645, top5_acc: 0.2030, loss_cls: 9.7846, loss: 9.7846 2023-12-29 09:56:42,989 - pyskl - INFO - Epoch [1][1900/3746] lr: 1.000e-01, eta: 4 days, 10:20:59, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.0614, top5_acc: 0.1991, loss_cls: 9.9694, loss: 9.9694 2023-12-29 09:57:43,767 - pyskl - INFO - Epoch [1][2000/3746] lr: 1.000e-01, eta: 4 days, 9:44:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.0631, top5_acc: 0.1963, loss_cls: 9.7718, loss: 9.7718 2023-12-29 09:58:44,511 - pyskl - INFO - Epoch [1][2100/3746] lr: 1.000e-01, eta: 4 days, 9:11:06, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.0761, top5_acc: 0.2106, loss_cls: 9.6809, loss: 9.6809 2023-12-29 09:59:46,056 - pyskl - INFO - Epoch [1][2200/3746] lr: 1.000e-01, eta: 4 days, 8:44:07, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.0684, top5_acc: 0.2117, loss_cls: 9.6066, loss: 9.6066 2023-12-29 10:00:47,263 - pyskl - INFO - Epoch [1][2300/3746] lr: 1.000e-01, eta: 4 days, 8:18:01, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.0730, top5_acc: 0.2180, loss_cls: 9.6854, loss: 9.6854 2023-12-29 10:01:48,823 - pyskl - INFO - Epoch [1][2400/3746] lr: 1.000e-01, eta: 4 days, 7:55:22, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.0719, top5_acc: 0.2161, loss_cls: 9.5247, loss: 9.5247 2023-12-29 10:02:50,508 - pyskl - INFO - Epoch [1][2500/3746] lr: 1.000e-01, eta: 4 days, 7:34:55, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.0762, top5_acc: 0.2228, loss_cls: 9.3684, loss: 9.3684 2023-12-29 10:03:52,133 - pyskl - INFO - Epoch [1][2600/3746] lr: 9.999e-02, eta: 4 days, 7:15:45, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.0798, top5_acc: 0.2302, loss_cls: 9.4157, loss: 9.4157 2023-12-29 10:04:53,743 - pyskl - INFO - Epoch [1][2700/3746] lr: 9.999e-02, eta: 4 days, 6:57:53, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.0753, top5_acc: 0.2269, loss_cls: 9.3982, loss: 9.3982 2023-12-29 10:05:54,566 - pyskl - INFO - Epoch [1][2800/3746] lr: 9.999e-02, eta: 4 days, 6:38:35, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.0820, top5_acc: 0.2386, loss_cls: 9.1744, loss: 9.1744 2023-12-29 10:06:55,604 - pyskl - INFO - Epoch [1][2900/3746] lr: 9.999e-02, eta: 4 days, 6:21:15, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.0914, top5_acc: 0.2539, loss_cls: 9.2026, loss: 9.2026 2023-12-29 10:07:56,976 - pyskl - INFO - Epoch [1][3000/3746] lr: 9.999e-02, eta: 4 days, 6:06:02, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.0870, top5_acc: 0.2450, loss_cls: 9.2489, loss: 9.2489 2023-12-29 10:08:58,473 - pyskl - INFO - Epoch [1][3100/3746] lr: 9.999e-02, eta: 4 days, 5:52:07, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.0936, top5_acc: 0.2550, loss_cls: 9.1190, loss: 9.1190 2023-12-29 10:09:59,233 - pyskl - INFO - Epoch [1][3200/3746] lr: 9.999e-02, eta: 4 days, 5:36:51, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.0898, top5_acc: 0.2511, loss_cls: 9.0860, loss: 9.0860 2023-12-29 10:11:00,085 - pyskl - INFO - Epoch [1][3300/3746] lr: 9.999e-02, eta: 4 days, 5:22:43, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.0969, top5_acc: 0.2559, loss_cls: 9.0317, loss: 9.0317 2023-12-29 10:12:00,936 - pyskl - INFO - Epoch [1][3400/3746] lr: 9.999e-02, eta: 4 days, 5:09:21, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.0916, top5_acc: 0.2577, loss_cls: 9.0810, loss: 9.0810 2023-12-29 10:13:02,123 - pyskl - INFO - Epoch [1][3500/3746] lr: 9.999e-02, eta: 4 days, 4:57:34, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.1008, top5_acc: 0.2698, loss_cls: 8.9653, loss: 8.9653 2023-12-29 10:14:03,892 - pyskl - INFO - Epoch [1][3600/3746] lr: 9.999e-02, eta: 4 days, 4:47:54, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.0997, top5_acc: 0.2775, loss_cls: 8.9783, loss: 8.9783 2023-12-29 10:15:06,010 - pyskl - INFO - Epoch [1][3700/3746] lr: 9.999e-02, eta: 4 days, 4:39:35, time: 0.621, data_time: 0.000, memory: 16177, top1_acc: 0.1127, top5_acc: 0.2770, loss_cls: 8.9069, loss: 8.9069 2023-12-29 10:15:36,660 - pyskl - INFO - Saving checkpoint at 1 epochs 2023-12-29 10:17:38,389 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 10:17:39,366 - pyskl - INFO - top1_acc 0.0686 top5_acc 0.2021 2023-12-29 10:17:39,367 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 10:17:39,408 - pyskl - INFO - mean_acc 0.0686 2023-12-29 10:17:39,642 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2023-12-29 10:17:39,643 - pyskl - INFO - Best top1_acc is 0.0686 at 1 epoch. 2023-12-29 10:17:39,662 - pyskl - INFO - Epoch(val) [1][309] top1_acc: 0.0686, top5_acc: 0.2021, mean_class_accuracy: 0.0686 2023-12-29 10:20:59,207 - pyskl - INFO - Epoch [2][100/3746] lr: 9.999e-02, eta: 4 days, 8:51:20, time: 1.995, data_time: 1.394, memory: 16177, top1_acc: 0.1083, top5_acc: 0.2839, loss_cls: 8.8039, loss: 8.8039 2023-12-29 10:21:58,985 - pyskl - INFO - Epoch [2][200/3746] lr: 9.999e-02, eta: 4 days, 8:31:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1119, top5_acc: 0.2916, loss_cls: 8.8280, loss: 8.8280 2023-12-29 10:22:59,302 - pyskl - INFO - Epoch [2][300/3746] lr: 9.999e-02, eta: 4 days, 8:14:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.1161, top5_acc: 0.2977, loss_cls: 8.7283, loss: 8.7283 2023-12-29 10:23:59,788 - pyskl - INFO - Epoch [2][400/3746] lr: 9.999e-02, eta: 4 days, 7:57:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.1125, top5_acc: 0.2956, loss_cls: 8.6976, loss: 8.6976 2023-12-29 10:25:00,489 - pyskl - INFO - Epoch [2][500/3746] lr: 9.999e-02, eta: 4 days, 7:42:42, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.1208, top5_acc: 0.3058, loss_cls: 8.6068, loss: 8.6068 2023-12-29 10:26:01,789 - pyskl - INFO - Epoch [2][600/3746] lr: 9.999e-02, eta: 4 days, 7:29:30, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.1233, top5_acc: 0.3116, loss_cls: 8.5419, loss: 8.5419 2023-12-29 10:27:03,162 - pyskl - INFO - Epoch [2][700/3746] lr: 9.998e-02, eta: 4 days, 7:17:00, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.1202, top5_acc: 0.3034, loss_cls: 8.6359, loss: 8.6359 2023-12-29 10:28:04,460 - pyskl - INFO - Epoch [2][800/3746] lr: 9.998e-02, eta: 4 days, 7:04:51, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.1148, top5_acc: 0.2925, loss_cls: 8.6832, loss: 8.6832 2023-12-29 10:29:06,152 - pyskl - INFO - Epoch [2][900/3746] lr: 9.998e-02, eta: 4 days, 6:53:57, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.1139, top5_acc: 0.3044, loss_cls: 8.6265, loss: 8.6265 2023-12-29 10:30:07,486 - pyskl - INFO - Epoch [2][1000/3746] lr: 9.998e-02, eta: 4 days, 6:42:47, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.1248, top5_acc: 0.3241, loss_cls: 8.5137, loss: 8.5137 2023-12-29 10:31:08,292 - pyskl - INFO - Epoch [2][1100/3746] lr: 9.998e-02, eta: 4 days, 6:31:01, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.1220, top5_acc: 0.3158, loss_cls: 8.5262, loss: 8.5262 2023-12-29 10:32:08,933 - pyskl - INFO - Epoch [2][1200/3746] lr: 9.998e-02, eta: 4 days, 6:19:23, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1339, top5_acc: 0.3284, loss_cls: 8.4552, loss: 8.4552 2023-12-29 10:33:09,724 - pyskl - INFO - Epoch [2][1300/3746] lr: 9.998e-02, eta: 4 days, 6:08:27, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.1281, top5_acc: 0.3209, loss_cls: 8.4331, loss: 8.4331 2023-12-29 10:34:10,584 - pyskl - INFO - Epoch [2][1400/3746] lr: 9.998e-02, eta: 4 days, 5:58:01, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.1344, top5_acc: 0.3202, loss_cls: 8.4117, loss: 8.4117 2023-12-29 10:35:10,984 - pyskl - INFO - Epoch [2][1500/3746] lr: 9.998e-02, eta: 4 days, 5:47:08, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.1258, top5_acc: 0.3372, loss_cls: 8.3537, loss: 8.3537 2023-12-29 10:36:11,947 - pyskl - INFO - Epoch [2][1600/3746] lr: 9.998e-02, eta: 4 days, 5:37:36, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.1338, top5_acc: 0.3336, loss_cls: 8.3756, loss: 8.3756 2023-12-29 10:37:12,866 - pyskl - INFO - Epoch [2][1700/3746] lr: 9.998e-02, eta: 4 days, 5:28:17, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.1347, top5_acc: 0.3303, loss_cls: 8.4415, loss: 8.4415 2023-12-29 10:38:14,369 - pyskl - INFO - Epoch [2][1800/3746] lr: 9.998e-02, eta: 4 days, 5:20:16, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.1402, top5_acc: 0.3467, loss_cls: 8.3057, loss: 8.3057 2023-12-29 10:39:15,213 - pyskl - INFO - Epoch [2][1900/3746] lr: 9.998e-02, eta: 4 days, 5:11:24, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.1417, top5_acc: 0.3439, loss_cls: 8.3056, loss: 8.3056 2023-12-29 10:40:15,916 - pyskl - INFO - Epoch [2][2000/3746] lr: 9.997e-02, eta: 4 days, 5:02:36, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.1477, top5_acc: 0.3520, loss_cls: 8.2362, loss: 8.2362 2023-12-29 10:41:17,176 - pyskl - INFO - Epoch [2][2100/3746] lr: 9.997e-02, eta: 4 days, 4:54:56, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.1469, top5_acc: 0.3445, loss_cls: 8.2466, loss: 8.2466 2023-12-29 10:42:18,899 - pyskl - INFO - Epoch [2][2200/3746] lr: 9.997e-02, eta: 4 days, 4:48:13, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.1553, top5_acc: 0.3648, loss_cls: 8.2182, loss: 8.2182 2023-12-29 10:43:20,476 - pyskl - INFO - Epoch [2][2300/3746] lr: 9.997e-02, eta: 4 days, 4:41:27, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.1486, top5_acc: 0.3586, loss_cls: 8.2136, loss: 8.2136 2023-12-29 10:44:22,407 - pyskl - INFO - Epoch [2][2400/3746] lr: 9.997e-02, eta: 4 days, 4:35:25, time: 0.619, data_time: 0.000, memory: 16177, top1_acc: 0.1452, top5_acc: 0.3469, loss_cls: 8.2800, loss: 8.2800 2023-12-29 10:45:23,973 - pyskl - INFO - Epoch [2][2500/3746] lr: 9.997e-02, eta: 4 days, 4:29:00, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.1477, top5_acc: 0.3542, loss_cls: 8.1993, loss: 8.1993 2023-12-29 10:46:25,380 - pyskl - INFO - Epoch [2][2600/3746] lr: 9.997e-02, eta: 4 days, 4:22:32, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.1606, top5_acc: 0.3720, loss_cls: 8.1570, loss: 8.1570 2023-12-29 10:47:27,045 - pyskl - INFO - Epoch [2][2700/3746] lr: 9.997e-02, eta: 4 days, 4:16:35, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.1673, top5_acc: 0.3816, loss_cls: 8.0714, loss: 8.0714 2023-12-29 10:48:28,291 - pyskl - INFO - Epoch [2][2800/3746] lr: 9.997e-02, eta: 4 days, 4:10:12, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.1567, top5_acc: 0.3762, loss_cls: 8.0441, loss: 8.0441 2023-12-29 10:49:29,993 - pyskl - INFO - Epoch [2][2900/3746] lr: 9.997e-02, eta: 4 days, 4:04:37, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.1717, top5_acc: 0.3819, loss_cls: 8.0062, loss: 8.0062 2023-12-29 10:50:30,761 - pyskl - INFO - Epoch [2][3000/3746] lr: 9.996e-02, eta: 4 days, 3:57:54, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.1558, top5_acc: 0.3731, loss_cls: 8.0951, loss: 8.0951 2023-12-29 10:51:32,213 - pyskl - INFO - Epoch [2][3100/3746] lr: 9.996e-02, eta: 4 days, 3:52:15, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.1600, top5_acc: 0.3772, loss_cls: 7.9976, loss: 7.9976 2023-12-29 10:52:33,310 - pyskl - INFO - Epoch [2][3200/3746] lr: 9.996e-02, eta: 4 days, 3:46:16, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.1688, top5_acc: 0.3845, loss_cls: 7.9659, loss: 7.9659 2023-12-29 10:53:33,948 - pyskl - INFO - Epoch [2][3300/3746] lr: 9.996e-02, eta: 4 days, 3:39:50, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1739, top5_acc: 0.3914, loss_cls: 7.9557, loss: 7.9557 2023-12-29 10:54:35,720 - pyskl - INFO - Epoch [2][3400/3746] lr: 9.996e-02, eta: 4 days, 3:35:01, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.1703, top5_acc: 0.3894, loss_cls: 7.9735, loss: 7.9735 2023-12-29 10:55:37,051 - pyskl - INFO - Epoch [2][3500/3746] lr: 9.996e-02, eta: 4 days, 3:29:44, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.1564, top5_acc: 0.3833, loss_cls: 8.0131, loss: 8.0131 2023-12-29 10:56:38,619 - pyskl - INFO - Epoch [2][3600/3746] lr: 9.996e-02, eta: 4 days, 3:24:52, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.1697, top5_acc: 0.3809, loss_cls: 7.9744, loss: 7.9744 2023-12-29 10:57:40,998 - pyskl - INFO - Epoch [2][3700/3746] lr: 9.996e-02, eta: 4 days, 3:21:07, time: 0.624, data_time: 0.001, memory: 16177, top1_acc: 0.1777, top5_acc: 0.3898, loss_cls: 7.9274, loss: 7.9274 2023-12-29 10:58:13,393 - pyskl - INFO - Saving checkpoint at 2 epochs 2023-12-29 11:00:05,281 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 11:00:06,045 - pyskl - INFO - top1_acc 0.1184 top5_acc 0.3009 2023-12-29 11:00:06,045 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 11:00:06,081 - pyskl - INFO - mean_acc 0.1183 2023-12-29 11:00:06,086 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_1.pth was removed 2023-12-29 11:00:06,341 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2023-12-29 11:00:06,341 - pyskl - INFO - Best top1_acc is 0.1184 at 2 epoch. 2023-12-29 11:00:06,351 - pyskl - INFO - Epoch(val) [2][309] top1_acc: 0.1184, top5_acc: 0.3009, mean_class_accuracy: 0.1183 2023-12-29 11:03:23,789 - pyskl - INFO - Epoch [3][100/3746] lr: 9.995e-02, eta: 4 days, 5:25:11, time: 1.974, data_time: 1.378, memory: 16177, top1_acc: 0.1725, top5_acc: 0.3958, loss_cls: 7.8830, loss: 7.8830 2023-12-29 11:04:23,801 - pyskl - INFO - Epoch [3][200/3746] lr: 9.995e-02, eta: 4 days, 5:17:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.1886, top5_acc: 0.4075, loss_cls: 7.7705, loss: 7.7705 2023-12-29 11:05:25,345 - pyskl - INFO - Epoch [3][300/3746] lr: 9.995e-02, eta: 4 days, 5:10:55, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.1745, top5_acc: 0.3952, loss_cls: 7.8929, loss: 7.8929 2023-12-29 11:06:26,733 - pyskl - INFO - Epoch [3][400/3746] lr: 9.995e-02, eta: 4 days, 5:04:44, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.1742, top5_acc: 0.4023, loss_cls: 7.8273, loss: 7.8273 2023-12-29 11:07:28,182 - pyskl - INFO - Epoch [3][500/3746] lr: 9.995e-02, eta: 4 days, 4:58:45, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.1725, top5_acc: 0.3941, loss_cls: 7.8518, loss: 7.8518 2023-12-29 11:08:29,792 - pyskl - INFO - Epoch [3][600/3746] lr: 9.995e-02, eta: 4 days, 4:53:04, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.1886, top5_acc: 0.4177, loss_cls: 7.7207, loss: 7.7207 2023-12-29 11:09:31,263 - pyskl - INFO - Epoch [3][700/3746] lr: 9.995e-02, eta: 4 days, 4:47:21, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.1830, top5_acc: 0.4072, loss_cls: 7.8007, loss: 7.8007 2023-12-29 11:10:32,420 - pyskl - INFO - Epoch [3][800/3746] lr: 9.995e-02, eta: 4 days, 4:41:23, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.1786, top5_acc: 0.4142, loss_cls: 7.7668, loss: 7.7668 2023-12-29 11:11:33,869 - pyskl - INFO - Epoch [3][900/3746] lr: 9.994e-02, eta: 4 days, 4:35:52, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.1859, top5_acc: 0.4123, loss_cls: 7.7674, loss: 7.7674 2023-12-29 11:12:35,434 - pyskl - INFO - Epoch [3][1000/3746] lr: 9.994e-02, eta: 4 days, 4:30:35, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.1905, top5_acc: 0.4200, loss_cls: 7.7339, loss: 7.7339 2023-12-29 11:13:37,053 - pyskl - INFO - Epoch [3][1100/3746] lr: 9.994e-02, eta: 4 days, 4:25:27, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.1748, top5_acc: 0.4028, loss_cls: 7.8356, loss: 7.8356 2023-12-29 11:14:38,331 - pyskl - INFO - Epoch [3][1200/3746] lr: 9.994e-02, eta: 4 days, 4:20:03, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.1894, top5_acc: 0.4225, loss_cls: 7.7226, loss: 7.7226 2023-12-29 11:15:39,261 - pyskl - INFO - Epoch [3][1300/3746] lr: 9.994e-02, eta: 4 days, 4:14:23, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.1869, top5_acc: 0.4047, loss_cls: 7.7769, loss: 7.7769 2023-12-29 11:16:40,122 - pyskl - INFO - Epoch [3][1400/3746] lr: 9.994e-02, eta: 4 days, 4:08:45, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.1892, top5_acc: 0.4091, loss_cls: 7.7299, loss: 7.7299 2023-12-29 11:17:41,208 - pyskl - INFO - Epoch [3][1500/3746] lr: 9.994e-02, eta: 4 days, 4:03:27, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.1869, top5_acc: 0.4183, loss_cls: 7.7159, loss: 7.7159 2023-12-29 11:18:42,189 - pyskl - INFO - Epoch [3][1600/3746] lr: 9.994e-02, eta: 4 days, 3:58:09, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.1877, top5_acc: 0.4081, loss_cls: 7.7476, loss: 7.7476 2023-12-29 11:19:42,865 - pyskl - INFO - Epoch [3][1700/3746] lr: 9.993e-02, eta: 4 days, 3:52:37, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.1933, top5_acc: 0.4145, loss_cls: 7.6941, loss: 7.6941 2023-12-29 11:20:43,679 - pyskl - INFO - Epoch [3][1800/3746] lr: 9.993e-02, eta: 4 days, 3:47:20, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.1841, top5_acc: 0.4111, loss_cls: 7.7419, loss: 7.7419 2023-12-29 11:21:44,570 - pyskl - INFO - Epoch [3][1900/3746] lr: 9.993e-02, eta: 4 days, 3:42:13, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.1814, top5_acc: 0.4142, loss_cls: 7.6888, loss: 7.6888 2023-12-29 11:22:46,113 - pyskl - INFO - Epoch [3][2000/3746] lr: 9.993e-02, eta: 4 days, 3:37:49, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.1905, top5_acc: 0.4133, loss_cls: 7.7048, loss: 7.7048 2023-12-29 11:23:46,954 - pyskl - INFO - Epoch [3][2100/3746] lr: 9.993e-02, eta: 4 days, 3:32:48, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.1934, top5_acc: 0.4194, loss_cls: 7.6870, loss: 7.6870 2023-12-29 11:24:48,532 - pyskl - INFO - Epoch [3][2200/3746] lr: 9.993e-02, eta: 4 days, 3:28:35, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.1919, top5_acc: 0.4248, loss_cls: 7.6490, loss: 7.6490 2023-12-29 11:25:49,865 - pyskl - INFO - Epoch [3][2300/3746] lr: 9.993e-02, eta: 4 days, 3:24:12, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2000, top5_acc: 0.4295, loss_cls: 7.6440, loss: 7.6440 2023-12-29 11:26:51,371 - pyskl - INFO - Epoch [3][2400/3746] lr: 9.992e-02, eta: 4 days, 3:20:02, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.1998, top5_acc: 0.4311, loss_cls: 7.6304, loss: 7.6304 2023-12-29 11:27:52,928 - pyskl - INFO - Epoch [3][2500/3746] lr: 9.992e-02, eta: 4 days, 3:15:59, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.1978, top5_acc: 0.4223, loss_cls: 7.6136, loss: 7.6136 2023-12-29 11:28:54,322 - pyskl - INFO - Epoch [3][2600/3746] lr: 9.992e-02, eta: 4 days, 3:11:51, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.1961, top5_acc: 0.4269, loss_cls: 7.6292, loss: 7.6292 2023-12-29 11:29:55,755 - pyskl - INFO - Epoch [3][2700/3746] lr: 9.992e-02, eta: 4 days, 3:07:48, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.1997, top5_acc: 0.4195, loss_cls: 7.6505, loss: 7.6505 2023-12-29 11:30:56,785 - pyskl - INFO - Epoch [3][2800/3746] lr: 9.992e-02, eta: 4 days, 3:03:28, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.1917, top5_acc: 0.4145, loss_cls: 7.5952, loss: 7.5952 2023-12-29 11:31:57,867 - pyskl - INFO - Epoch [3][2900/3746] lr: 9.992e-02, eta: 4 days, 2:59:14, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2072, top5_acc: 0.4398, loss_cls: 7.5223, loss: 7.5223 2023-12-29 11:32:58,443 - pyskl - INFO - Epoch [3][3000/3746] lr: 9.991e-02, eta: 4 days, 2:54:37, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1970, top5_acc: 0.4380, loss_cls: 7.5733, loss: 7.5733 2023-12-29 11:33:59,613 - pyskl - INFO - Epoch [3][3100/3746] lr: 9.991e-02, eta: 4 days, 2:50:35, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.1941, top5_acc: 0.4341, loss_cls: 7.6122, loss: 7.6122 2023-12-29 11:35:00,808 - pyskl - INFO - Epoch [3][3200/3746] lr: 9.991e-02, eta: 4 days, 2:46:38, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.1917, top5_acc: 0.4291, loss_cls: 7.5831, loss: 7.5831 2023-12-29 11:36:01,842 - pyskl - INFO - Epoch [3][3300/3746] lr: 9.991e-02, eta: 4 days, 2:42:35, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2033, top5_acc: 0.4252, loss_cls: 7.5812, loss: 7.5812 2023-12-29 11:37:02,887 - pyskl - INFO - Epoch [3][3400/3746] lr: 9.991e-02, eta: 4 days, 2:38:37, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.1970, top5_acc: 0.4281, loss_cls: 7.6006, loss: 7.6006 2023-12-29 11:38:04,211 - pyskl - INFO - Epoch [3][3500/3746] lr: 9.991e-02, eta: 4 days, 2:34:56, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2058, top5_acc: 0.4436, loss_cls: 7.5324, loss: 7.5324 2023-12-29 11:39:05,966 - pyskl - INFO - Epoch [3][3600/3746] lr: 9.990e-02, eta: 4 days, 2:31:39, time: 0.618, data_time: 0.001, memory: 16177, top1_acc: 0.2036, top5_acc: 0.4314, loss_cls: 7.5725, loss: 7.5725 2023-12-29 11:40:08,090 - pyskl - INFO - Epoch [3][3700/3746] lr: 9.990e-02, eta: 4 days, 2:28:43, time: 0.621, data_time: 0.001, memory: 16177, top1_acc: 0.2044, top5_acc: 0.4305, loss_cls: 7.5685, loss: 7.5685 2023-12-29 11:40:39,525 - pyskl - INFO - Saving checkpoint at 3 epochs 2023-12-29 11:42:30,035 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 11:42:30,839 - pyskl - INFO - top1_acc 0.1496 top5_acc 0.3518 2023-12-29 11:42:30,839 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 11:42:30,896 - pyskl - INFO - mean_acc 0.1495 2023-12-29 11:42:30,905 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_2.pth was removed 2023-12-29 11:42:31,155 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2023-12-29 11:42:31,156 - pyskl - INFO - Best top1_acc is 0.1496 at 3 epoch. 2023-12-29 11:42:31,169 - pyskl - INFO - Epoch(val) [3][309] top1_acc: 0.1496, top5_acc: 0.3518, mean_class_accuracy: 0.1495 2023-12-29 11:45:53,335 - pyskl - INFO - Epoch [4][100/3746] lr: 9.990e-02, eta: 4 days, 3:54:41, time: 2.022, data_time: 1.426, memory: 16177, top1_acc: 0.2136, top5_acc: 0.4547, loss_cls: 7.4836, loss: 7.4836 2023-12-29 11:46:53,215 - pyskl - INFO - Epoch [4][200/3746] lr: 9.990e-02, eta: 4 days, 3:49:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2117, top5_acc: 0.4425, loss_cls: 7.4969, loss: 7.4969 2023-12-29 11:47:53,916 - pyskl - INFO - Epoch [4][300/3746] lr: 9.990e-02, eta: 4 days, 3:44:30, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2080, top5_acc: 0.4306, loss_cls: 7.5605, loss: 7.5605 2023-12-29 11:48:54,855 - pyskl - INFO - Epoch [4][400/3746] lr: 9.989e-02, eta: 4 days, 3:40:01, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2097, top5_acc: 0.4512, loss_cls: 7.4964, loss: 7.4964 2023-12-29 11:49:55,972 - pyskl - INFO - Epoch [4][500/3746] lr: 9.989e-02, eta: 4 days, 3:35:44, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2117, top5_acc: 0.4370, loss_cls: 7.5281, loss: 7.5281 2023-12-29 11:50:56,887 - pyskl - INFO - Epoch [4][600/3746] lr: 9.989e-02, eta: 4 days, 3:31:21, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2213, top5_acc: 0.4609, loss_cls: 7.4232, loss: 7.4232 2023-12-29 11:51:57,634 - pyskl - INFO - Epoch [4][700/3746] lr: 9.989e-02, eta: 4 days, 3:26:54, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2022, top5_acc: 0.4430, loss_cls: 7.4770, loss: 7.4770 2023-12-29 11:52:58,585 - pyskl - INFO - Epoch [4][800/3746] lr: 9.989e-02, eta: 4 days, 3:22:39, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2119, top5_acc: 0.4412, loss_cls: 7.4710, loss: 7.4710 2023-12-29 11:54:00,113 - pyskl - INFO - Epoch [4][900/3746] lr: 9.988e-02, eta: 4 days, 3:18:54, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2127, top5_acc: 0.4412, loss_cls: 7.4939, loss: 7.4939 2023-12-29 11:55:01,203 - pyskl - INFO - Epoch [4][1000/3746] lr: 9.988e-02, eta: 4 days, 3:14:52, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2137, top5_acc: 0.4453, loss_cls: 7.4629, loss: 7.4629 2023-12-29 11:56:01,867 - pyskl - INFO - Epoch [4][1100/3746] lr: 9.988e-02, eta: 4 days, 3:10:34, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2137, top5_acc: 0.4534, loss_cls: 7.4401, loss: 7.4401 2023-12-29 11:57:02,921 - pyskl - INFO - Epoch [4][1200/3746] lr: 9.988e-02, eta: 4 days, 3:06:36, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2050, top5_acc: 0.4431, loss_cls: 7.5171, loss: 7.5171 2023-12-29 11:58:03,837 - pyskl - INFO - Epoch [4][1300/3746] lr: 9.988e-02, eta: 4 days, 3:02:35, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2166, top5_acc: 0.4483, loss_cls: 7.4487, loss: 7.4487 2023-12-29 11:59:05,019 - pyskl - INFO - Epoch [4][1400/3746] lr: 9.988e-02, eta: 4 days, 2:58:48, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2158, top5_acc: 0.4458, loss_cls: 7.4656, loss: 7.4656 2023-12-29 12:00:05,893 - pyskl - INFO - Epoch [4][1500/3746] lr: 9.987e-02, eta: 4 days, 2:54:50, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2094, top5_acc: 0.4475, loss_cls: 7.5183, loss: 7.5183 2023-12-29 12:01:07,146 - pyskl - INFO - Epoch [4][1600/3746] lr: 9.987e-02, eta: 4 days, 2:51:12, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2205, top5_acc: 0.4577, loss_cls: 7.3815, loss: 7.3815 2023-12-29 12:02:07,880 - pyskl - INFO - Epoch [4][1700/3746] lr: 9.987e-02, eta: 4 days, 2:47:14, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2123, top5_acc: 0.4484, loss_cls: 7.4514, loss: 7.4514 2023-12-29 12:03:08,617 - pyskl - INFO - Epoch [4][1800/3746] lr: 9.987e-02, eta: 4 days, 2:43:19, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2059, top5_acc: 0.4469, loss_cls: 7.4266, loss: 7.4266 2023-12-29 12:04:09,492 - pyskl - INFO - Epoch [4][1900/3746] lr: 9.987e-02, eta: 4 days, 2:39:32, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2089, top5_acc: 0.4484, loss_cls: 7.4526, loss: 7.4526 2023-12-29 12:05:10,081 - pyskl - INFO - Epoch [4][2000/3746] lr: 9.986e-02, eta: 4 days, 2:35:36, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2141, top5_acc: 0.4572, loss_cls: 7.4389, loss: 7.4389 2023-12-29 12:06:10,640 - pyskl - INFO - Epoch [4][2100/3746] lr: 9.986e-02, eta: 4 days, 2:31:41, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2137, top5_acc: 0.4445, loss_cls: 7.4603, loss: 7.4603 2023-12-29 12:07:11,362 - pyskl - INFO - Epoch [4][2200/3746] lr: 9.986e-02, eta: 4 days, 2:27:56, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2172, top5_acc: 0.4502, loss_cls: 7.4165, loss: 7.4165 2023-12-29 12:08:11,901 - pyskl - INFO - Epoch [4][2300/3746] lr: 9.986e-02, eta: 4 days, 2:24:05, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2081, top5_acc: 0.4409, loss_cls: 7.4869, loss: 7.4869 2023-12-29 12:09:12,658 - pyskl - INFO - Epoch [4][2400/3746] lr: 9.985e-02, eta: 4 days, 2:20:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2139, top5_acc: 0.4520, loss_cls: 7.4150, loss: 7.4150 2023-12-29 12:10:13,222 - pyskl - INFO - Epoch [4][2500/3746] lr: 9.985e-02, eta: 4 days, 2:16:42, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2156, top5_acc: 0.4569, loss_cls: 7.3920, loss: 7.3920 2023-12-29 12:11:13,995 - pyskl - INFO - Epoch [4][2600/3746] lr: 9.985e-02, eta: 4 days, 2:13:08, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2202, top5_acc: 0.4595, loss_cls: 7.3741, loss: 7.3741 2023-12-29 12:12:14,448 - pyskl - INFO - Epoch [4][2700/3746] lr: 9.985e-02, eta: 4 days, 2:09:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2095, top5_acc: 0.4503, loss_cls: 7.4033, loss: 7.4033 2023-12-29 12:13:15,181 - pyskl - INFO - Epoch [4][2800/3746] lr: 9.985e-02, eta: 4 days, 2:05:53, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2081, top5_acc: 0.4467, loss_cls: 7.4692, loss: 7.4692 2023-12-29 12:14:15,785 - pyskl - INFO - Epoch [4][2900/3746] lr: 9.984e-02, eta: 4 days, 2:02:19, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2167, top5_acc: 0.4612, loss_cls: 7.3806, loss: 7.3806 2023-12-29 12:15:16,663 - pyskl - INFO - Epoch [4][3000/3746] lr: 9.984e-02, eta: 4 days, 1:58:57, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2194, top5_acc: 0.4600, loss_cls: 7.3505, loss: 7.3505 2023-12-29 12:16:17,937 - pyskl - INFO - Epoch [4][3100/3746] lr: 9.984e-02, eta: 4 days, 1:55:53, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2097, top5_acc: 0.4433, loss_cls: 7.4419, loss: 7.4419 2023-12-29 12:17:19,288 - pyskl - INFO - Epoch [4][3200/3746] lr: 9.984e-02, eta: 4 days, 1:52:54, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2205, top5_acc: 0.4583, loss_cls: 7.3589, loss: 7.3589 2023-12-29 12:18:20,770 - pyskl - INFO - Epoch [4][3300/3746] lr: 9.983e-02, eta: 4 days, 1:50:01, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2181, top5_acc: 0.4416, loss_cls: 7.4157, loss: 7.4157 2023-12-29 12:19:22,017 - pyskl - INFO - Epoch [4][3400/3746] lr: 9.983e-02, eta: 4 days, 1:47:01, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2170, top5_acc: 0.4527, loss_cls: 7.3959, loss: 7.3959 2023-12-29 12:20:23,429 - pyskl - INFO - Epoch [4][3500/3746] lr: 9.983e-02, eta: 4 days, 1:44:08, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2134, top5_acc: 0.4503, loss_cls: 7.3993, loss: 7.3993 2023-12-29 12:21:25,238 - pyskl - INFO - Epoch [4][3600/3746] lr: 9.983e-02, eta: 4 days, 1:41:32, time: 0.618, data_time: 0.001, memory: 16177, top1_acc: 0.2217, top5_acc: 0.4570, loss_cls: 7.3414, loss: 7.3414 2023-12-29 12:22:27,737 - pyskl - INFO - Epoch [4][3700/3746] lr: 9.983e-02, eta: 4 days, 1:39:22, time: 0.625, data_time: 0.000, memory: 16177, top1_acc: 0.2112, top5_acc: 0.4528, loss_cls: 7.3818, loss: 7.3818 2023-12-29 12:22:57,905 - pyskl - INFO - Saving checkpoint at 4 epochs 2023-12-29 12:24:48,837 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 12:24:49,892 - pyskl - INFO - top1_acc 0.1513 top5_acc 0.3536 2023-12-29 12:24:49,893 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 12:24:49,939 - pyskl - INFO - mean_acc 0.1512 2023-12-29 12:24:49,945 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_3.pth was removed 2023-12-29 12:24:50,172 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2023-12-29 12:24:50,173 - pyskl - INFO - Best top1_acc is 0.1513 at 4 epoch. 2023-12-29 12:24:50,185 - pyskl - INFO - Epoch(val) [4][309] top1_acc: 0.1513, top5_acc: 0.3536, mean_class_accuracy: 0.1512 2023-12-29 12:28:12,219 - pyskl - INFO - Epoch [5][100/3746] lr: 9.982e-02, eta: 4 days, 2:43:10, time: 2.020, data_time: 1.426, memory: 16177, top1_acc: 0.2241, top5_acc: 0.4739, loss_cls: 7.3193, loss: 7.3193 2023-12-29 12:29:12,445 - pyskl - INFO - Epoch [5][200/3746] lr: 9.982e-02, eta: 4 days, 2:39:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2277, top5_acc: 0.4622, loss_cls: 7.3394, loss: 7.3394 2023-12-29 12:30:12,753 - pyskl - INFO - Epoch [5][300/3746] lr: 9.982e-02, eta: 4 days, 2:35:22, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2198, top5_acc: 0.4648, loss_cls: 7.3570, loss: 7.3570 2023-12-29 12:31:13,587 - pyskl - INFO - Epoch [5][400/3746] lr: 9.982e-02, eta: 4 days, 2:31:51, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2258, top5_acc: 0.4639, loss_cls: 7.3172, loss: 7.3172 2023-12-29 12:32:14,366 - pyskl - INFO - Epoch [5][500/3746] lr: 9.981e-02, eta: 4 days, 2:28:21, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2227, top5_acc: 0.4777, loss_cls: 7.2836, loss: 7.2836 2023-12-29 12:33:14,886 - pyskl - INFO - Epoch [5][600/3746] lr: 9.981e-02, eta: 4 days, 2:24:43, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2152, top5_acc: 0.4591, loss_cls: 7.3335, loss: 7.3335 2023-12-29 12:34:15,468 - pyskl - INFO - Epoch [5][700/3746] lr: 9.981e-02, eta: 4 days, 2:21:10, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2355, top5_acc: 0.4667, loss_cls: 7.2876, loss: 7.2876 2023-12-29 12:35:15,856 - pyskl - INFO - Epoch [5][800/3746] lr: 9.981e-02, eta: 4 days, 2:17:31, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2255, top5_acc: 0.4608, loss_cls: 7.3616, loss: 7.3616 2023-12-29 12:36:16,471 - pyskl - INFO - Epoch [5][900/3746] lr: 9.980e-02, eta: 4 days, 2:14:03, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2155, top5_acc: 0.4503, loss_cls: 7.3993, loss: 7.3993 2023-12-29 12:37:17,330 - pyskl - INFO - Epoch [5][1000/3746] lr: 9.980e-02, eta: 4 days, 2:10:44, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2234, top5_acc: 0.4706, loss_cls: 7.3457, loss: 7.3457 2023-12-29 12:38:18,408 - pyskl - INFO - Epoch [5][1100/3746] lr: 9.980e-02, eta: 4 days, 2:07:35, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2252, top5_acc: 0.4662, loss_cls: 7.3172, loss: 7.3172 2023-12-29 12:39:19,154 - pyskl - INFO - Epoch [5][1200/3746] lr: 9.980e-02, eta: 4 days, 2:04:17, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2241, top5_acc: 0.4647, loss_cls: 7.2955, loss: 7.2955 2023-12-29 12:40:19,776 - pyskl - INFO - Epoch [5][1300/3746] lr: 9.979e-02, eta: 4 days, 2:00:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2255, top5_acc: 0.4688, loss_cls: 7.3293, loss: 7.3293 2023-12-29 12:41:20,393 - pyskl - INFO - Epoch [5][1400/3746] lr: 9.979e-02, eta: 4 days, 1:57:36, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2286, top5_acc: 0.4675, loss_cls: 7.3131, loss: 7.3131 2023-12-29 12:42:21,283 - pyskl - INFO - Epoch [5][1500/3746] lr: 9.979e-02, eta: 4 days, 1:54:27, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2295, top5_acc: 0.4700, loss_cls: 7.2998, loss: 7.2998 2023-12-29 12:43:21,631 - pyskl - INFO - Epoch [5][1600/3746] lr: 9.979e-02, eta: 4 days, 1:51:01, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2220, top5_acc: 0.4644, loss_cls: 7.3582, loss: 7.3582 2023-12-29 12:44:22,162 - pyskl - INFO - Epoch [5][1700/3746] lr: 9.978e-02, eta: 4 days, 1:47:44, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2172, top5_acc: 0.4534, loss_cls: 7.3924, loss: 7.3924 2023-12-29 12:45:22,828 - pyskl - INFO - Epoch [5][1800/3746] lr: 9.978e-02, eta: 4 days, 1:44:32, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2234, top5_acc: 0.4605, loss_cls: 7.3243, loss: 7.3243 2023-12-29 12:46:23,780 - pyskl - INFO - Epoch [5][1900/3746] lr: 9.978e-02, eta: 4 days, 1:41:32, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2241, top5_acc: 0.4703, loss_cls: 7.2999, loss: 7.2999 2023-12-29 12:47:25,080 - pyskl - INFO - Epoch [5][2000/3746] lr: 9.977e-02, eta: 4 days, 1:38:43, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2273, top5_acc: 0.4631, loss_cls: 7.3205, loss: 7.3205 2023-12-29 12:48:26,357 - pyskl - INFO - Epoch [5][2100/3746] lr: 9.977e-02, eta: 4 days, 1:35:56, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2323, top5_acc: 0.4692, loss_cls: 7.2921, loss: 7.2921 2023-12-29 12:49:27,594 - pyskl - INFO - Epoch [5][2200/3746] lr: 9.977e-02, eta: 4 days, 1:33:08, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2269, top5_acc: 0.4720, loss_cls: 7.3012, loss: 7.3012 2023-12-29 12:50:28,869 - pyskl - INFO - Epoch [5][2300/3746] lr: 9.977e-02, eta: 4 days, 1:30:23, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2288, top5_acc: 0.4667, loss_cls: 7.2847, loss: 7.2847 2023-12-29 12:51:29,930 - pyskl - INFO - Epoch [5][2400/3746] lr: 9.976e-02, eta: 4 days, 1:27:32, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2339, top5_acc: 0.4744, loss_cls: 7.2491, loss: 7.2491 2023-12-29 12:52:30,408 - pyskl - INFO - Epoch [5][2500/3746] lr: 9.976e-02, eta: 4 days, 1:24:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2259, top5_acc: 0.4683, loss_cls: 7.2792, loss: 7.2792 2023-12-29 12:53:31,037 - pyskl - INFO - Epoch [5][2600/3746] lr: 9.976e-02, eta: 4 days, 1:21:23, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2314, top5_acc: 0.4734, loss_cls: 7.2696, loss: 7.2696 2023-12-29 12:54:31,807 - pyskl - INFO - Epoch [5][2700/3746] lr: 9.976e-02, eta: 4 days, 1:18:27, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2328, top5_acc: 0.4677, loss_cls: 7.2774, loss: 7.2774 2023-12-29 12:55:32,914 - pyskl - INFO - Epoch [5][2800/3746] lr: 9.975e-02, eta: 4 days, 1:15:43, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2325, top5_acc: 0.4686, loss_cls: 7.2827, loss: 7.2827 2023-12-29 12:56:34,364 - pyskl - INFO - Epoch [5][2900/3746] lr: 9.975e-02, eta: 4 days, 1:13:10, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2306, top5_acc: 0.4733, loss_cls: 7.2568, loss: 7.2568 2023-12-29 12:57:36,021 - pyskl - INFO - Epoch [5][3000/3746] lr: 9.975e-02, eta: 4 days, 1:10:45, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.2222, top5_acc: 0.4662, loss_cls: 7.3257, loss: 7.3257 2023-12-29 12:58:37,339 - pyskl - INFO - Epoch [5][3100/3746] lr: 9.974e-02, eta: 4 days, 1:08:10, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2281, top5_acc: 0.4644, loss_cls: 7.3328, loss: 7.3328 2023-12-29 12:59:38,567 - pyskl - INFO - Epoch [5][3200/3746] lr: 9.974e-02, eta: 4 days, 1:05:34, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2216, top5_acc: 0.4667, loss_cls: 7.3124, loss: 7.3124 2023-12-29 13:00:40,080 - pyskl - INFO - Epoch [5][3300/3746] lr: 9.974e-02, eta: 4 days, 1:03:07, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2394, top5_acc: 0.4783, loss_cls: 7.2650, loss: 7.2650 2023-12-29 13:01:41,319 - pyskl - INFO - Epoch [5][3400/3746] lr: 9.974e-02, eta: 4 days, 1:00:33, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2355, top5_acc: 0.4738, loss_cls: 7.2766, loss: 7.2766 2023-12-29 13:02:42,871 - pyskl - INFO - Epoch [5][3500/3746] lr: 9.973e-02, eta: 4 days, 0:58:10, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.2278, top5_acc: 0.4655, loss_cls: 7.2836, loss: 7.2836 2023-12-29 13:03:44,897 - pyskl - INFO - Epoch [5][3600/3746] lr: 9.973e-02, eta: 4 days, 0:56:01, time: 0.620, data_time: 0.000, memory: 16177, top1_acc: 0.2280, top5_acc: 0.4598, loss_cls: 7.2959, loss: 7.2959 2023-12-29 13:04:47,099 - pyskl - INFO - Epoch [5][3700/3746] lr: 9.973e-02, eta: 4 days, 0:53:57, time: 0.622, data_time: 0.001, memory: 16177, top1_acc: 0.2269, top5_acc: 0.4655, loss_cls: 7.2995, loss: 7.2995 2023-12-29 13:05:17,717 - pyskl - INFO - Saving checkpoint at 5 epochs 2023-12-29 13:07:08,979 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 13:07:09,802 - pyskl - INFO - top1_acc 0.1718 top5_acc 0.3984 2023-12-29 13:07:09,802 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 13:07:09,849 - pyskl - INFO - mean_acc 0.1714 2023-12-29 13:07:09,857 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_4.pth was removed 2023-12-29 13:07:10,104 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. 2023-12-29 13:07:10,104 - pyskl - INFO - Best top1_acc is 0.1718 at 5 epoch. 2023-12-29 13:07:10,113 - pyskl - INFO - Epoch(val) [5][309] top1_acc: 0.1718, top5_acc: 0.3984, mean_class_accuracy: 0.1714 2023-12-29 13:10:36,440 - pyskl - INFO - Epoch [6][100/3746] lr: 9.972e-02, eta: 4 days, 1:46:30, time: 2.063, data_time: 1.468, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4767, loss_cls: 7.2350, loss: 7.2350 2023-12-29 13:11:36,148 - pyskl - INFO - Epoch [6][200/3746] lr: 9.972e-02, eta: 4 days, 1:42:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2302, top5_acc: 0.4763, loss_cls: 7.2352, loss: 7.2352 2023-12-29 13:12:36,674 - pyskl - INFO - Epoch [6][300/3746] lr: 9.972e-02, eta: 4 days, 1:39:52, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2273, top5_acc: 0.4714, loss_cls: 7.2687, loss: 7.2687 2023-12-29 13:13:37,162 - pyskl - INFO - Epoch [6][400/3746] lr: 9.971e-02, eta: 4 days, 1:36:46, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2394, top5_acc: 0.4758, loss_cls: 7.2387, loss: 7.2387 2023-12-29 13:14:37,465 - pyskl - INFO - Epoch [6][500/3746] lr: 9.971e-02, eta: 4 days, 1:33:36, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2358, top5_acc: 0.4730, loss_cls: 7.2632, loss: 7.2632 2023-12-29 13:15:38,114 - pyskl - INFO - Epoch [6][600/3746] lr: 9.971e-02, eta: 4 days, 1:30:37, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2311, top5_acc: 0.4720, loss_cls: 7.2694, loss: 7.2694 2023-12-29 13:16:38,663 - pyskl - INFO - Epoch [6][700/3746] lr: 9.971e-02, eta: 4 days, 1:27:36, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2314, top5_acc: 0.4738, loss_cls: 7.2717, loss: 7.2717 2023-12-29 13:17:39,235 - pyskl - INFO - Epoch [6][800/3746] lr: 9.970e-02, eta: 4 days, 1:24:38, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2392, top5_acc: 0.4919, loss_cls: 7.1905, loss: 7.1905 2023-12-29 13:18:39,714 - pyskl - INFO - Epoch [6][900/3746] lr: 9.970e-02, eta: 4 days, 1:21:38, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2422, top5_acc: 0.4772, loss_cls: 7.2342, loss: 7.2342 2023-12-29 13:19:40,180 - pyskl - INFO - Epoch [6][1000/3746] lr: 9.970e-02, eta: 4 days, 1:18:38, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2370, top5_acc: 0.4686, loss_cls: 7.2152, loss: 7.2152 2023-12-29 13:20:40,731 - pyskl - INFO - Epoch [6][1100/3746] lr: 9.969e-02, eta: 4 days, 1:15:43, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2341, top5_acc: 0.4688, loss_cls: 7.2625, loss: 7.2625 2023-12-29 13:21:41,231 - pyskl - INFO - Epoch [6][1200/3746] lr: 9.969e-02, eta: 4 days, 1:12:47, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2306, top5_acc: 0.4716, loss_cls: 7.2269, loss: 7.2269 2023-12-29 13:22:41,660 - pyskl - INFO - Epoch [6][1300/3746] lr: 9.969e-02, eta: 4 days, 1:09:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2367, top5_acc: 0.4789, loss_cls: 7.2133, loss: 7.2133 2023-12-29 13:23:42,266 - pyskl - INFO - Epoch [6][1400/3746] lr: 9.968e-02, eta: 4 days, 1:06:59, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2358, top5_acc: 0.4745, loss_cls: 7.1967, loss: 7.1967 2023-12-29 13:24:42,848 - pyskl - INFO - Epoch [6][1500/3746] lr: 9.968e-02, eta: 4 days, 1:04:09, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2272, top5_acc: 0.4672, loss_cls: 7.2788, loss: 7.2788 2023-12-29 13:25:43,372 - pyskl - INFO - Epoch [6][1600/3746] lr: 9.968e-02, eta: 4 days, 1:01:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2292, top5_acc: 0.4694, loss_cls: 7.2572, loss: 7.2572 2023-12-29 13:26:44,533 - pyskl - INFO - Epoch [6][1700/3746] lr: 9.967e-02, eta: 4 days, 0:58:45, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2350, top5_acc: 0.4800, loss_cls: 7.2288, loss: 7.2288 2023-12-29 13:27:45,632 - pyskl - INFO - Epoch [6][1800/3746] lr: 9.967e-02, eta: 4 days, 0:56:12, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2298, top5_acc: 0.4703, loss_cls: 7.2870, loss: 7.2870 2023-12-29 13:28:46,804 - pyskl - INFO - Epoch [6][1900/3746] lr: 9.967e-02, eta: 4 days, 0:53:41, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2244, top5_acc: 0.4661, loss_cls: 7.2398, loss: 7.2398 2023-12-29 13:29:47,740 - pyskl - INFO - Epoch [6][2000/3746] lr: 9.966e-02, eta: 4 days, 0:51:05, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2338, top5_acc: 0.4786, loss_cls: 7.2270, loss: 7.2270 2023-12-29 13:30:48,794 - pyskl - INFO - Epoch [6][2100/3746] lr: 9.966e-02, eta: 4 days, 0:48:33, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2273, top5_acc: 0.4767, loss_cls: 7.2329, loss: 7.2329 2023-12-29 13:31:49,457 - pyskl - INFO - Epoch [6][2200/3746] lr: 9.966e-02, eta: 4 days, 0:45:51, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2305, top5_acc: 0.4736, loss_cls: 7.2594, loss: 7.2594 2023-12-29 13:32:50,298 - pyskl - INFO - Epoch [6][2300/3746] lr: 9.965e-02, eta: 4 days, 0:43:15, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2416, top5_acc: 0.4795, loss_cls: 7.1962, loss: 7.1962 2023-12-29 13:33:50,927 - pyskl - INFO - Epoch [6][2400/3746] lr: 9.965e-02, eta: 4 days, 0:40:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2412, top5_acc: 0.4859, loss_cls: 7.1757, loss: 7.1757 2023-12-29 13:34:51,678 - pyskl - INFO - Epoch [6][2500/3746] lr: 9.965e-02, eta: 4 days, 0:37:59, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2244, top5_acc: 0.4720, loss_cls: 7.2823, loss: 7.2823 2023-12-29 13:35:52,477 - pyskl - INFO - Epoch [6][2600/3746] lr: 9.964e-02, eta: 4 days, 0:35:25, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2355, top5_acc: 0.4845, loss_cls: 7.2370, loss: 7.2370 2023-12-29 13:36:52,871 - pyskl - INFO - Epoch [6][2700/3746] lr: 9.964e-02, eta: 4 days, 0:32:41, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2373, top5_acc: 0.4725, loss_cls: 7.2174, loss: 7.2174 2023-12-29 13:37:53,289 - pyskl - INFO - Epoch [6][2800/3746] lr: 9.964e-02, eta: 4 days, 0:29:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4884, loss_cls: 7.1870, loss: 7.1870 2023-12-29 13:38:53,776 - pyskl - INFO - Epoch [6][2900/3746] lr: 9.963e-02, eta: 4 days, 0:27:20, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2494, top5_acc: 0.4894, loss_cls: 7.1720, loss: 7.1720 2023-12-29 13:39:55,050 - pyskl - INFO - Epoch [6][3000/3746] lr: 9.963e-02, eta: 4 days, 0:25:01, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2328, top5_acc: 0.4752, loss_cls: 7.2664, loss: 7.2664 2023-12-29 13:40:55,753 - pyskl - INFO - Epoch [6][3100/3746] lr: 9.963e-02, eta: 4 days, 0:22:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2339, top5_acc: 0.4773, loss_cls: 7.2503, loss: 7.2503 2023-12-29 13:41:56,773 - pyskl - INFO - Epoch [6][3200/3746] lr: 9.962e-02, eta: 4 days, 0:20:05, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2302, top5_acc: 0.4758, loss_cls: 7.2305, loss: 7.2305 2023-12-29 13:42:57,837 - pyskl - INFO - Epoch [6][3300/3746] lr: 9.962e-02, eta: 4 days, 0:17:44, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2331, top5_acc: 0.4764, loss_cls: 7.2387, loss: 7.2387 2023-12-29 13:43:58,259 - pyskl - INFO - Epoch [6][3400/3746] lr: 9.962e-02, eta: 4 days, 0:15:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2389, top5_acc: 0.4802, loss_cls: 7.1997, loss: 7.1997 2023-12-29 13:44:59,433 - pyskl - INFO - Epoch [6][3500/3746] lr: 9.961e-02, eta: 4 days, 0:12:49, time: 0.612, data_time: 0.001, memory: 16177, top1_acc: 0.2441, top5_acc: 0.4803, loss_cls: 7.2031, loss: 7.2031 2023-12-29 13:46:01,692 - pyskl - INFO - Epoch [6][3600/3746] lr: 9.961e-02, eta: 4 days, 0:10:59, time: 0.623, data_time: 0.001, memory: 16177, top1_acc: 0.2425, top5_acc: 0.4852, loss_cls: 7.1705, loss: 7.1705 2023-12-29 13:47:02,935 - pyskl - INFO - Epoch [6][3700/3746] lr: 9.961e-02, eta: 4 days, 0:08:44, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2378, top5_acc: 0.4788, loss_cls: 7.1873, loss: 7.1873 2023-12-29 13:47:32,919 - pyskl - INFO - Saving checkpoint at 6 epochs 2023-12-29 13:49:25,923 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 13:49:26,735 - pyskl - INFO - top1_acc 0.1629 top5_acc 0.3690 2023-12-29 13:49:26,735 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 13:49:26,766 - pyskl - INFO - mean_acc 0.1628 2023-12-29 13:49:26,773 - pyskl - INFO - Epoch(val) [6][309] top1_acc: 0.1629, top5_acc: 0.3690, mean_class_accuracy: 0.1628 2023-12-29 13:52:50,063 - pyskl - INFO - Epoch [7][100/3746] lr: 9.960e-02, eta: 4 days, 0:50:49, time: 2.033, data_time: 1.435, memory: 16177, top1_acc: 0.2466, top5_acc: 0.4828, loss_cls: 7.1855, loss: 7.1855 2023-12-29 13:53:50,301 - pyskl - INFO - Epoch [7][200/3746] lr: 9.960e-02, eta: 4 days, 0:47:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2383, top5_acc: 0.4930, loss_cls: 7.1572, loss: 7.1572 2023-12-29 13:54:50,897 - pyskl - INFO - Epoch [7][300/3746] lr: 9.960e-02, eta: 4 days, 0:45:19, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4761, loss_cls: 7.2334, loss: 7.2334 2023-12-29 13:55:51,336 - pyskl - INFO - Epoch [7][400/3746] lr: 9.959e-02, eta: 4 days, 0:42:36, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2392, top5_acc: 0.4828, loss_cls: 7.1998, loss: 7.1998 2023-12-29 13:56:52,000 - pyskl - INFO - Epoch [7][500/3746] lr: 9.959e-02, eta: 4 days, 0:40:00, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2389, top5_acc: 0.4788, loss_cls: 7.1895, loss: 7.1895 2023-12-29 13:57:52,455 - pyskl - INFO - Epoch [7][600/3746] lr: 9.958e-02, eta: 4 days, 0:37:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2352, top5_acc: 0.4769, loss_cls: 7.2174, loss: 7.2174 2023-12-29 13:58:52,839 - pyskl - INFO - Epoch [7][700/3746] lr: 9.958e-02, eta: 4 days, 0:34:37, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4784, loss_cls: 7.1633, loss: 7.1633 2023-12-29 13:59:53,473 - pyskl - INFO - Epoch [7][800/3746] lr: 9.958e-02, eta: 4 days, 0:32:02, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.4847, loss_cls: 7.1830, loss: 7.1830 2023-12-29 14:00:53,741 - pyskl - INFO - Epoch [7][900/3746] lr: 9.957e-02, eta: 4 days, 0:29:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4883, loss_cls: 7.1711, loss: 7.1711 2023-12-29 14:01:54,149 - pyskl - INFO - Epoch [7][1000/3746] lr: 9.957e-02, eta: 4 days, 0:26:41, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2494, top5_acc: 0.4834, loss_cls: 7.1831, loss: 7.1831 2023-12-29 14:02:54,661 - pyskl - INFO - Epoch [7][1100/3746] lr: 9.957e-02, eta: 4 days, 0:24:06, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2425, top5_acc: 0.4767, loss_cls: 7.2020, loss: 7.2020 2023-12-29 14:03:55,018 - pyskl - INFO - Epoch [7][1200/3746] lr: 9.956e-02, eta: 4 days, 0:21:28, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4917, loss_cls: 7.1605, loss: 7.1605 2023-12-29 14:04:55,884 - pyskl - INFO - Epoch [7][1300/3746] lr: 9.956e-02, eta: 4 days, 0:19:03, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4844, loss_cls: 7.1734, loss: 7.1734 2023-12-29 14:05:57,008 - pyskl - INFO - Epoch [7][1400/3746] lr: 9.956e-02, eta: 4 days, 0:16:44, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2283, top5_acc: 0.4744, loss_cls: 7.2396, loss: 7.2396 2023-12-29 14:06:58,033 - pyskl - INFO - Epoch [7][1500/3746] lr: 9.955e-02, eta: 4 days, 0:14:23, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2364, top5_acc: 0.4819, loss_cls: 7.1791, loss: 7.1791 2023-12-29 14:07:59,202 - pyskl - INFO - Epoch [7][1600/3746] lr: 9.955e-02, eta: 4 days, 0:12:06, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2436, top5_acc: 0.4784, loss_cls: 7.2146, loss: 7.2146 2023-12-29 14:09:00,812 - pyskl - INFO - Epoch [7][1700/3746] lr: 9.954e-02, eta: 4 days, 0:10:00, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.2259, top5_acc: 0.4738, loss_cls: 7.2338, loss: 7.2338 2023-12-29 14:10:02,648 - pyskl - INFO - Epoch [7][1800/3746] lr: 9.954e-02, eta: 4 days, 0:07:59, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4850, loss_cls: 7.1920, loss: 7.1920 2023-12-29 14:11:04,757 - pyskl - INFO - Epoch [7][1900/3746] lr: 9.954e-02, eta: 4 days, 0:06:05, time: 0.621, data_time: 0.000, memory: 16177, top1_acc: 0.2353, top5_acc: 0.4781, loss_cls: 7.1994, loss: 7.1994 2023-12-29 14:12:05,598 - pyskl - INFO - Epoch [7][2000/3746] lr: 9.953e-02, eta: 4 days, 0:03:43, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2367, top5_acc: 0.4745, loss_cls: 7.1837, loss: 7.1837 2023-12-29 14:13:06,284 - pyskl - INFO - Epoch [7][2100/3746] lr: 9.953e-02, eta: 4 days, 0:01:19, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2412, top5_acc: 0.4811, loss_cls: 7.2262, loss: 7.2262 2023-12-29 14:14:06,472 - pyskl - INFO - Epoch [7][2200/3746] lr: 9.952e-02, eta: 3 days, 23:58:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2323, top5_acc: 0.4861, loss_cls: 7.1960, loss: 7.1960 2023-12-29 14:15:06,959 - pyskl - INFO - Epoch [7][2300/3746] lr: 9.952e-02, eta: 3 days, 23:56:17, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2425, top5_acc: 0.4919, loss_cls: 7.1334, loss: 7.1334 2023-12-29 14:16:08,029 - pyskl - INFO - Epoch [7][2400/3746] lr: 9.952e-02, eta: 3 days, 23:54:03, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2372, top5_acc: 0.4881, loss_cls: 7.1729, loss: 7.1729 2023-12-29 14:17:08,597 - pyskl - INFO - Epoch [7][2500/3746] lr: 9.951e-02, eta: 3 days, 23:51:38, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2389, top5_acc: 0.4759, loss_cls: 7.1620, loss: 7.1620 2023-12-29 14:18:09,003 - pyskl - INFO - Epoch [7][2600/3746] lr: 9.951e-02, eta: 3 days, 23:49:11, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4880, loss_cls: 7.1449, loss: 7.1449 2023-12-29 14:19:09,906 - pyskl - INFO - Epoch [7][2700/3746] lr: 9.951e-02, eta: 3 days, 23:46:55, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2387, top5_acc: 0.4869, loss_cls: 7.1687, loss: 7.1687 2023-12-29 14:20:10,551 - pyskl - INFO - Epoch [7][2800/3746] lr: 9.950e-02, eta: 3 days, 23:44:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2297, top5_acc: 0.4773, loss_cls: 7.1935, loss: 7.1935 2023-12-29 14:21:11,415 - pyskl - INFO - Epoch [7][2900/3746] lr: 9.950e-02, eta: 3 days, 23:42:19, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4856, loss_cls: 7.1400, loss: 7.1400 2023-12-29 14:22:11,999 - pyskl - INFO - Epoch [7][3000/3746] lr: 9.949e-02, eta: 3 days, 23:39:58, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4745, loss_cls: 7.1742, loss: 7.1742 2023-12-29 14:23:12,616 - pyskl - INFO - Epoch [7][3100/3746] lr: 9.949e-02, eta: 3 days, 23:37:39, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2409, top5_acc: 0.4947, loss_cls: 7.1634, loss: 7.1634 2023-12-29 14:24:13,005 - pyskl - INFO - Epoch [7][3200/3746] lr: 9.949e-02, eta: 3 days, 23:35:16, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.4873, loss_cls: 7.1390, loss: 7.1390 2023-12-29 14:25:13,285 - pyskl - INFO - Epoch [7][3300/3746] lr: 9.948e-02, eta: 3 days, 23:32:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2466, top5_acc: 0.4909, loss_cls: 7.1488, loss: 7.1488 2023-12-29 14:26:13,898 - pyskl - INFO - Epoch [7][3400/3746] lr: 9.948e-02, eta: 3 days, 23:30:33, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2459, top5_acc: 0.4878, loss_cls: 7.1415, loss: 7.1415 2023-12-29 14:27:14,804 - pyskl - INFO - Epoch [7][3500/3746] lr: 9.947e-02, eta: 3 days, 23:28:22, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2350, top5_acc: 0.4845, loss_cls: 7.1995, loss: 7.1995 2023-12-29 14:28:17,126 - pyskl - INFO - Epoch [7][3600/3746] lr: 9.947e-02, eta: 3 days, 23:26:40, time: 0.623, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.4936, loss_cls: 7.1338, loss: 7.1338 2023-12-29 14:29:18,481 - pyskl - INFO - Epoch [7][3700/3746] lr: 9.947e-02, eta: 3 days, 23:24:39, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2353, top5_acc: 0.4861, loss_cls: 7.1723, loss: 7.1723 2023-12-29 14:29:48,560 - pyskl - INFO - Saving checkpoint at 7 epochs 2023-12-29 14:31:38,477 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 14:31:39,498 - pyskl - INFO - top1_acc 0.1737 top5_acc 0.3975 2023-12-29 14:31:39,498 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 14:31:39,538 - pyskl - INFO - mean_acc 0.1736 2023-12-29 14:31:39,545 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_5.pth was removed 2023-12-29 14:31:39,906 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. 2023-12-29 14:31:39,907 - pyskl - INFO - Best top1_acc is 0.1737 at 7 epoch. 2023-12-29 14:31:39,920 - pyskl - INFO - Epoch(val) [7][309] top1_acc: 0.1737, top5_acc: 0.3975, mean_class_accuracy: 0.1736 2023-12-29 14:34:56,029 - pyskl - INFO - Epoch [8][100/3746] lr: 9.946e-02, eta: 3 days, 23:57:51, time: 1.961, data_time: 1.369, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4950, loss_cls: 7.1204, loss: 7.1204 2023-12-29 14:35:55,486 - pyskl - INFO - Epoch [8][200/3746] lr: 9.946e-02, eta: 3 days, 23:55:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.4934, loss_cls: 7.1110, loss: 7.1110 2023-12-29 14:36:55,507 - pyskl - INFO - Epoch [8][300/3746] lr: 9.945e-02, eta: 3 days, 23:52:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2391, top5_acc: 0.4922, loss_cls: 7.1343, loss: 7.1343 2023-12-29 14:37:55,398 - pyskl - INFO - Epoch [8][400/3746] lr: 9.945e-02, eta: 3 days, 23:49:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.4917, loss_cls: 7.1257, loss: 7.1257 2023-12-29 14:38:55,651 - pyskl - INFO - Epoch [8][500/3746] lr: 9.944e-02, eta: 3 days, 23:47:25, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4919, loss_cls: 7.1359, loss: 7.1359 2023-12-29 14:39:56,132 - pyskl - INFO - Epoch [8][600/3746] lr: 9.944e-02, eta: 3 days, 23:45:01, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.4931, loss_cls: 7.1144, loss: 7.1144 2023-12-29 14:40:56,622 - pyskl - INFO - Epoch [8][700/3746] lr: 9.943e-02, eta: 3 days, 23:42:39, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2420, top5_acc: 0.4819, loss_cls: 7.1573, loss: 7.1573 2023-12-29 14:41:56,893 - pyskl - INFO - Epoch [8][800/3746] lr: 9.943e-02, eta: 3 days, 23:40:13, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2456, top5_acc: 0.4939, loss_cls: 7.1257, loss: 7.1257 2023-12-29 14:42:57,378 - pyskl - INFO - Epoch [8][900/3746] lr: 9.943e-02, eta: 3 days, 23:37:51, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2433, top5_acc: 0.4909, loss_cls: 7.1466, loss: 7.1466 2023-12-29 14:43:58,082 - pyskl - INFO - Epoch [8][1000/3746] lr: 9.942e-02, eta: 3 days, 23:35:35, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.4945, loss_cls: 7.1084, loss: 7.1084 2023-12-29 14:44:58,944 - pyskl - INFO - Epoch [8][1100/3746] lr: 9.942e-02, eta: 3 days, 23:33:22, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2383, top5_acc: 0.4873, loss_cls: 7.1545, loss: 7.1545 2023-12-29 14:46:00,073 - pyskl - INFO - Epoch [8][1200/3746] lr: 9.941e-02, eta: 3 days, 23:31:15, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2427, top5_acc: 0.4800, loss_cls: 7.1939, loss: 7.1939 2023-12-29 14:47:01,112 - pyskl - INFO - Epoch [8][1300/3746] lr: 9.941e-02, eta: 3 days, 23:29:06, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2417, top5_acc: 0.4905, loss_cls: 7.1413, loss: 7.1413 2023-12-29 14:48:01,819 - pyskl - INFO - Epoch [8][1400/3746] lr: 9.940e-02, eta: 3 days, 23:26:52, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2372, top5_acc: 0.4920, loss_cls: 7.1285, loss: 7.1285 2023-12-29 14:49:02,365 - pyskl - INFO - Epoch [8][1500/3746] lr: 9.940e-02, eta: 3 days, 23:24:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4839, loss_cls: 7.1268, loss: 7.1268 2023-12-29 14:50:03,519 - pyskl - INFO - Epoch [8][1600/3746] lr: 9.940e-02, eta: 3 days, 23:22:30, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2319, top5_acc: 0.4739, loss_cls: 7.2088, loss: 7.2088 2023-12-29 14:51:04,411 - pyskl - INFO - Epoch [8][1700/3746] lr: 9.939e-02, eta: 3 days, 23:20:21, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.4858, loss_cls: 7.1357, loss: 7.1357 2023-12-29 14:52:04,990 - pyskl - INFO - Epoch [8][1800/3746] lr: 9.939e-02, eta: 3 days, 23:18:06, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2255, top5_acc: 0.4813, loss_cls: 7.1919, loss: 7.1919 2023-12-29 14:53:05,220 - pyskl - INFO - Epoch [8][1900/3746] lr: 9.938e-02, eta: 3 days, 23:15:45, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2425, top5_acc: 0.4867, loss_cls: 7.1605, loss: 7.1605 2023-12-29 14:54:05,713 - pyskl - INFO - Epoch [8][2000/3746] lr: 9.938e-02, eta: 3 days, 23:13:30, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2450, top5_acc: 0.4906, loss_cls: 7.1353, loss: 7.1353 2023-12-29 14:55:06,061 - pyskl - INFO - Epoch [8][2100/3746] lr: 9.937e-02, eta: 3 days, 23:11:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.4970, loss_cls: 7.0734, loss: 7.0734 2023-12-29 14:56:06,503 - pyskl - INFO - Epoch [8][2200/3746] lr: 9.937e-02, eta: 3 days, 23:08:57, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4991, loss_cls: 7.1197, loss: 7.1197 2023-12-29 14:57:07,345 - pyskl - INFO - Epoch [8][2300/3746] lr: 9.937e-02, eta: 3 days, 23:06:50, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.4975, loss_cls: 7.1129, loss: 7.1129 2023-12-29 14:58:07,932 - pyskl - INFO - Epoch [8][2400/3746] lr: 9.936e-02, eta: 3 days, 23:04:39, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2380, top5_acc: 0.4827, loss_cls: 7.1855, loss: 7.1855 2023-12-29 14:59:08,344 - pyskl - INFO - Epoch [8][2500/3746] lr: 9.936e-02, eta: 3 days, 23:02:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2455, top5_acc: 0.4797, loss_cls: 7.1653, loss: 7.1653 2023-12-29 15:00:09,419 - pyskl - INFO - Epoch [8][2600/3746] lr: 9.935e-02, eta: 3 days, 23:00:23, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2384, top5_acc: 0.4830, loss_cls: 7.2164, loss: 7.2164 2023-12-29 15:01:11,033 - pyskl - INFO - Epoch [8][2700/3746] lr: 9.935e-02, eta: 3 days, 22:58:32, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4864, loss_cls: 7.1569, loss: 7.1569 2023-12-29 15:02:11,817 - pyskl - INFO - Epoch [8][2800/3746] lr: 9.934e-02, eta: 3 days, 22:56:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2412, top5_acc: 0.4831, loss_cls: 7.1403, loss: 7.1403 2023-12-29 15:03:12,433 - pyskl - INFO - Epoch [8][2900/3746] lr: 9.934e-02, eta: 3 days, 22:54:17, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2403, top5_acc: 0.4842, loss_cls: 7.1388, loss: 7.1388 2023-12-29 15:04:12,766 - pyskl - INFO - Epoch [8][3000/3746] lr: 9.933e-02, eta: 3 days, 22:52:04, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4991, loss_cls: 7.1119, loss: 7.1119 2023-12-29 15:05:13,403 - pyskl - INFO - Epoch [8][3100/3746] lr: 9.933e-02, eta: 3 days, 22:49:57, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2427, top5_acc: 0.4827, loss_cls: 7.1632, loss: 7.1632 2023-12-29 15:06:14,050 - pyskl - INFO - Epoch [8][3200/3746] lr: 9.933e-02, eta: 3 days, 22:47:50, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2381, top5_acc: 0.4820, loss_cls: 7.1902, loss: 7.1902 2023-12-29 15:07:14,242 - pyskl - INFO - Epoch [8][3300/3746] lr: 9.932e-02, eta: 3 days, 22:45:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2433, top5_acc: 0.4923, loss_cls: 7.1342, loss: 7.1342 2023-12-29 15:08:15,411 - pyskl - INFO - Epoch [8][3400/3746] lr: 9.932e-02, eta: 3 days, 22:43:39, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2406, top5_acc: 0.4805, loss_cls: 7.1515, loss: 7.1515 2023-12-29 15:09:17,422 - pyskl - INFO - Epoch [8][3500/3746] lr: 9.931e-02, eta: 3 days, 22:41:58, time: 0.620, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4838, loss_cls: 7.1631, loss: 7.1631 2023-12-29 15:10:19,221 - pyskl - INFO - Epoch [8][3600/3746] lr: 9.931e-02, eta: 3 days, 22:40:14, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.2342, top5_acc: 0.4822, loss_cls: 7.1614, loss: 7.1614 2023-12-29 15:11:20,179 - pyskl - INFO - Epoch [8][3700/3746] lr: 9.930e-02, eta: 3 days, 22:38:15, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4861, loss_cls: 7.1327, loss: 7.1327 2023-12-29 15:11:50,601 - pyskl - INFO - Saving checkpoint at 8 epochs 2023-12-29 15:13:42,499 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 15:13:43,314 - pyskl - INFO - top1_acc 0.1650 top5_acc 0.3809 2023-12-29 15:13:43,314 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 15:13:43,349 - pyskl - INFO - mean_acc 0.1647 2023-12-29 15:13:43,358 - pyskl - INFO - Epoch(val) [8][309] top1_acc: 0.1650, top5_acc: 0.3809, mean_class_accuracy: 0.1647 2023-12-29 15:17:09,512 - pyskl - INFO - Epoch [9][100/3746] lr: 9.930e-02, eta: 3 days, 23:09:54, time: 2.061, data_time: 1.462, memory: 16177, top1_acc: 0.2470, top5_acc: 0.5034, loss_cls: 7.0772, loss: 7.0772 2023-12-29 15:18:09,351 - pyskl - INFO - Epoch [9][200/3746] lr: 9.929e-02, eta: 3 days, 23:07:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4995, loss_cls: 7.0848, loss: 7.0848 2023-12-29 15:19:09,528 - pyskl - INFO - Epoch [9][300/3746] lr: 9.929e-02, eta: 3 days, 23:05:10, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4955, loss_cls: 7.1164, loss: 7.1164 2023-12-29 15:20:09,982 - pyskl - INFO - Epoch [9][400/3746] lr: 9.928e-02, eta: 3 days, 23:02:57, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4834, loss_cls: 7.1385, loss: 7.1385 2023-12-29 15:21:10,661 - pyskl - INFO - Epoch [9][500/3746] lr: 9.928e-02, eta: 3 days, 23:00:48, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4936, loss_cls: 7.1276, loss: 7.1276 2023-12-29 15:22:10,899 - pyskl - INFO - Epoch [9][600/3746] lr: 9.927e-02, eta: 3 days, 22:58:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.5033, loss_cls: 7.0955, loss: 7.0955 2023-12-29 15:23:11,301 - pyskl - INFO - Epoch [9][700/3746] lr: 9.927e-02, eta: 3 days, 22:56:19, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4898, loss_cls: 7.1350, loss: 7.1350 2023-12-29 15:24:11,625 - pyskl - INFO - Epoch [9][800/3746] lr: 9.926e-02, eta: 3 days, 22:54:05, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2412, top5_acc: 0.4934, loss_cls: 7.1510, loss: 7.1510 2023-12-29 15:25:12,007 - pyskl - INFO - Epoch [9][900/3746] lr: 9.926e-02, eta: 3 days, 22:51:53, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2444, top5_acc: 0.4945, loss_cls: 7.0895, loss: 7.0895 2023-12-29 15:26:12,681 - pyskl - INFO - Epoch [9][1000/3746] lr: 9.925e-02, eta: 3 days, 22:49:46, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.4898, loss_cls: 7.0897, loss: 7.0897 2023-12-29 15:27:13,431 - pyskl - INFO - Epoch [9][1100/3746] lr: 9.925e-02, eta: 3 days, 22:47:41, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2400, top5_acc: 0.4919, loss_cls: 7.1430, loss: 7.1430 2023-12-29 15:28:13,914 - pyskl - INFO - Epoch [9][1200/3746] lr: 9.924e-02, eta: 3 days, 22:45:32, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.4948, loss_cls: 7.0820, loss: 7.0820 2023-12-29 15:29:14,900 - pyskl - INFO - Epoch [9][1300/3746] lr: 9.924e-02, eta: 3 days, 22:43:32, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2375, top5_acc: 0.4902, loss_cls: 7.1401, loss: 7.1401 2023-12-29 15:30:15,807 - pyskl - INFO - Epoch [9][1400/3746] lr: 9.923e-02, eta: 3 days, 22:41:31, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4966, loss_cls: 7.0818, loss: 7.0818 2023-12-29 15:31:16,563 - pyskl - INFO - Epoch [9][1500/3746] lr: 9.923e-02, eta: 3 days, 22:39:28, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2430, top5_acc: 0.4816, loss_cls: 7.1507, loss: 7.1507 2023-12-29 15:32:17,569 - pyskl - INFO - Epoch [9][1600/3746] lr: 9.922e-02, eta: 3 days, 22:37:29, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2400, top5_acc: 0.4950, loss_cls: 7.1170, loss: 7.1170 2023-12-29 15:33:18,266 - pyskl - INFO - Epoch [9][1700/3746] lr: 9.922e-02, eta: 3 days, 22:35:26, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4888, loss_cls: 7.1057, loss: 7.1057 2023-12-29 15:34:18,820 - pyskl - INFO - Epoch [9][1800/3746] lr: 9.921e-02, eta: 3 days, 22:33:20, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2470, top5_acc: 0.5031, loss_cls: 7.1092, loss: 7.1092 2023-12-29 15:35:19,304 - pyskl - INFO - Epoch [9][1900/3746] lr: 9.921e-02, eta: 3 days, 22:31:14, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2459, top5_acc: 0.4928, loss_cls: 7.1324, loss: 7.1324 2023-12-29 15:36:19,802 - pyskl - INFO - Epoch [9][2000/3746] lr: 9.920e-02, eta: 3 days, 22:29:09, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2466, top5_acc: 0.4898, loss_cls: 7.1148, loss: 7.1148 2023-12-29 15:37:20,181 - pyskl - INFO - Epoch [9][2100/3746] lr: 9.920e-02, eta: 3 days, 22:27:01, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.4908, loss_cls: 7.1038, loss: 7.1038 2023-12-29 15:38:20,564 - pyskl - INFO - Epoch [9][2200/3746] lr: 9.919e-02, eta: 3 days, 22:24:55, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.4931, loss_cls: 7.1136, loss: 7.1136 2023-12-29 15:39:21,145 - pyskl - INFO - Epoch [9][2300/3746] lr: 9.919e-02, eta: 3 days, 22:22:52, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2550, top5_acc: 0.5069, loss_cls: 7.0757, loss: 7.0757 2023-12-29 15:40:21,717 - pyskl - INFO - Epoch [9][2400/3746] lr: 9.918e-02, eta: 3 days, 22:20:49, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2375, top5_acc: 0.4859, loss_cls: 7.1289, loss: 7.1289 2023-12-29 15:41:22,299 - pyskl - INFO - Epoch [9][2500/3746] lr: 9.918e-02, eta: 3 days, 22:18:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2430, top5_acc: 0.4927, loss_cls: 7.1186, loss: 7.1186 2023-12-29 15:42:23,177 - pyskl - INFO - Epoch [9][2600/3746] lr: 9.917e-02, eta: 3 days, 22:16:50, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2450, top5_acc: 0.4888, loss_cls: 7.1244, loss: 7.1244 2023-12-29 15:43:23,784 - pyskl - INFO - Epoch [9][2700/3746] lr: 9.917e-02, eta: 3 days, 22:14:49, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4944, loss_cls: 7.0915, loss: 7.0915 2023-12-29 15:44:24,552 - pyskl - INFO - Epoch [9][2800/3746] lr: 9.916e-02, eta: 3 days, 22:12:51, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4892, loss_cls: 7.1273, loss: 7.1273 2023-12-29 15:45:25,856 - pyskl - INFO - Epoch [9][2900/3746] lr: 9.916e-02, eta: 3 days, 22:11:02, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2417, top5_acc: 0.4809, loss_cls: 7.1345, loss: 7.1345 2023-12-29 15:46:26,848 - pyskl - INFO - Epoch [9][3000/3746] lr: 9.915e-02, eta: 3 days, 22:09:08, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2428, top5_acc: 0.4905, loss_cls: 7.1606, loss: 7.1606 2023-12-29 15:47:27,287 - pyskl - INFO - Epoch [9][3100/3746] lr: 9.915e-02, eta: 3 days, 22:07:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2391, top5_acc: 0.4900, loss_cls: 7.1369, loss: 7.1369 2023-12-29 15:48:28,035 - pyskl - INFO - Epoch [9][3200/3746] lr: 9.914e-02, eta: 3 days, 22:05:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.5011, loss_cls: 7.0742, loss: 7.0742 2023-12-29 15:49:28,546 - pyskl - INFO - Epoch [9][3300/3746] lr: 9.914e-02, eta: 3 days, 22:03:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.4955, loss_cls: 7.1034, loss: 7.1034 2023-12-29 15:50:29,905 - pyskl - INFO - Epoch [9][3400/3746] lr: 9.913e-02, eta: 3 days, 22:01:21, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4992, loss_cls: 7.0884, loss: 7.0884 2023-12-29 15:51:32,268 - pyskl - INFO - Epoch [9][3500/3746] lr: 9.913e-02, eta: 3 days, 21:59:51, time: 0.624, data_time: 0.000, memory: 16177, top1_acc: 0.2437, top5_acc: 0.4923, loss_cls: 7.1255, loss: 7.1255 2023-12-29 15:52:33,509 - pyskl - INFO - Epoch [9][3600/3746] lr: 9.912e-02, eta: 3 days, 21:58:03, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2403, top5_acc: 0.4864, loss_cls: 7.1456, loss: 7.1456 2023-12-29 15:53:34,273 - pyskl - INFO - Epoch [9][3700/3746] lr: 9.912e-02, eta: 3 days, 21:56:07, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.4919, loss_cls: 7.1208, loss: 7.1208 2023-12-29 15:54:04,695 - pyskl - INFO - Saving checkpoint at 9 epochs 2023-12-29 15:55:54,255 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 15:55:55,045 - pyskl - INFO - top1_acc 0.1790 top5_acc 0.4063 2023-12-29 15:55:55,045 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 15:55:55,074 - pyskl - INFO - mean_acc 0.1790 2023-12-29 15:55:55,080 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_7.pth was removed 2023-12-29 15:55:55,338 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. 2023-12-29 15:55:55,339 - pyskl - INFO - Best top1_acc is 0.1790 at 9 epoch. 2023-12-29 15:55:55,351 - pyskl - INFO - Epoch(val) [9][309] top1_acc: 0.1790, top5_acc: 0.4063, mean_class_accuracy: 0.1790 2023-12-29 15:59:19,118 - pyskl - INFO - Epoch [10][100/3746] lr: 9.911e-02, eta: 3 days, 22:23:16, time: 2.038, data_time: 1.441, memory: 16177, top1_acc: 0.2522, top5_acc: 0.5075, loss_cls: 7.0294, loss: 7.0294 2023-12-29 16:00:18,932 - pyskl - INFO - Epoch [10][200/3746] lr: 9.910e-02, eta: 3 days, 22:21:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.5005, loss_cls: 7.0570, loss: 7.0570 2023-12-29 16:01:19,333 - pyskl - INFO - Epoch [10][300/3746] lr: 9.910e-02, eta: 3 days, 22:18:56, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.4952, loss_cls: 7.0528, loss: 7.0528 2023-12-29 16:02:20,144 - pyskl - INFO - Epoch [10][400/3746] lr: 9.909e-02, eta: 3 days, 22:16:57, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2494, top5_acc: 0.4859, loss_cls: 7.1149, loss: 7.1149 2023-12-29 16:03:21,123 - pyskl - INFO - Epoch [10][500/3746] lr: 9.909e-02, eta: 3 days, 22:15:02, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.4911, loss_cls: 7.0909, loss: 7.0909 2023-12-29 16:04:22,235 - pyskl - INFO - Epoch [10][600/3746] lr: 9.908e-02, eta: 3 days, 22:13:08, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2477, top5_acc: 0.4994, loss_cls: 7.0613, loss: 7.0613 2023-12-29 16:05:23,266 - pyskl - INFO - Epoch [10][700/3746] lr: 9.908e-02, eta: 3 days, 22:11:14, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4939, loss_cls: 7.0828, loss: 7.0828 2023-12-29 16:06:24,662 - pyskl - INFO - Epoch [10][800/3746] lr: 9.907e-02, eta: 3 days, 22:09:26, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4873, loss_cls: 7.1269, loss: 7.1269 2023-12-29 16:07:25,750 - pyskl - INFO - Epoch [10][900/3746] lr: 9.907e-02, eta: 3 days, 22:07:33, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5056, loss_cls: 7.0687, loss: 7.0687 2023-12-29 16:08:26,764 - pyskl - INFO - Epoch [10][1000/3746] lr: 9.906e-02, eta: 3 days, 22:05:39, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.4969, loss_cls: 7.0990, loss: 7.0990 2023-12-29 16:09:27,752 - pyskl - INFO - Epoch [10][1100/3746] lr: 9.906e-02, eta: 3 days, 22:03:46, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4894, loss_cls: 7.1043, loss: 7.1043 2023-12-29 16:10:28,546 - pyskl - INFO - Epoch [10][1200/3746] lr: 9.905e-02, eta: 3 days, 22:01:49, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.5045, loss_cls: 7.0824, loss: 7.0824 2023-12-29 16:11:29,031 - pyskl - INFO - Epoch [10][1300/3746] lr: 9.905e-02, eta: 3 days, 21:59:48, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.5012, loss_cls: 7.0654, loss: 7.0654 2023-12-29 16:12:29,442 - pyskl - INFO - Epoch [10][1400/3746] lr: 9.904e-02, eta: 3 days, 21:57:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.4886, loss_cls: 7.1122, loss: 7.1122 2023-12-29 16:13:29,760 - pyskl - INFO - Epoch [10][1500/3746] lr: 9.903e-02, eta: 3 days, 21:55:45, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2505, top5_acc: 0.4894, loss_cls: 7.1094, loss: 7.1094 2023-12-29 16:14:30,361 - pyskl - INFO - Epoch [10][1600/3746] lr: 9.903e-02, eta: 3 days, 21:53:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4980, loss_cls: 7.0713, loss: 7.0713 2023-12-29 16:15:30,847 - pyskl - INFO - Epoch [10][1700/3746] lr: 9.902e-02, eta: 3 days, 21:51:47, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.4936, loss_cls: 7.0883, loss: 7.0883 2023-12-29 16:16:31,196 - pyskl - INFO - Epoch [10][1800/3746] lr: 9.902e-02, eta: 3 days, 21:49:46, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2444, top5_acc: 0.4955, loss_cls: 7.0935, loss: 7.0935 2023-12-29 16:17:31,651 - pyskl - INFO - Epoch [10][1900/3746] lr: 9.901e-02, eta: 3 days, 21:47:47, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4928, loss_cls: 7.0821, loss: 7.0821 2023-12-29 16:18:32,325 - pyskl - INFO - Epoch [10][2000/3746] lr: 9.901e-02, eta: 3 days, 21:45:52, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.4959, loss_cls: 7.0732, loss: 7.0732 2023-12-29 16:19:33,067 - pyskl - INFO - Epoch [10][2100/3746] lr: 9.900e-02, eta: 3 days, 21:43:57, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.4988, loss_cls: 7.0883, loss: 7.0883 2023-12-29 16:20:34,009 - pyskl - INFO - Epoch [10][2200/3746] lr: 9.900e-02, eta: 3 days, 21:42:06, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4972, loss_cls: 7.0739, loss: 7.0739 2023-12-29 16:21:35,013 - pyskl - INFO - Epoch [10][2300/3746] lr: 9.899e-02, eta: 3 days, 21:40:17, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4906, loss_cls: 7.1237, loss: 7.1237 2023-12-29 16:22:35,478 - pyskl - INFO - Epoch [10][2400/3746] lr: 9.898e-02, eta: 3 days, 21:38:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2459, top5_acc: 0.4948, loss_cls: 7.1137, loss: 7.1137 2023-12-29 16:23:35,979 - pyskl - INFO - Epoch [10][2500/3746] lr: 9.898e-02, eta: 3 days, 21:36:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2455, top5_acc: 0.4847, loss_cls: 7.1346, loss: 7.1346 2023-12-29 16:24:36,659 - pyskl - INFO - Epoch [10][2600/3746] lr: 9.897e-02, eta: 3 days, 21:34:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4928, loss_cls: 7.1017, loss: 7.1017 2023-12-29 16:25:37,768 - pyskl - INFO - Epoch [10][2700/3746] lr: 9.897e-02, eta: 3 days, 21:32:42, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.4875, loss_cls: 7.0962, loss: 7.0962 2023-12-29 16:26:38,083 - pyskl - INFO - Epoch [10][2800/3746] lr: 9.896e-02, eta: 3 days, 21:30:43, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2477, top5_acc: 0.4869, loss_cls: 7.1293, loss: 7.1293 2023-12-29 16:27:38,759 - pyskl - INFO - Epoch [10][2900/3746] lr: 9.896e-02, eta: 3 days, 21:28:51, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2403, top5_acc: 0.4958, loss_cls: 7.1222, loss: 7.1222 2023-12-29 16:28:39,309 - pyskl - INFO - Epoch [10][3000/3746] lr: 9.895e-02, eta: 3 days, 21:26:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2472, top5_acc: 0.4988, loss_cls: 7.0749, loss: 7.0749 2023-12-29 16:29:39,864 - pyskl - INFO - Epoch [10][3100/3746] lr: 9.894e-02, eta: 3 days, 21:25:02, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2428, top5_acc: 0.4967, loss_cls: 7.1289, loss: 7.1289 2023-12-29 16:30:40,538 - pyskl - INFO - Epoch [10][3200/3746] lr: 9.894e-02, eta: 3 days, 21:23:10, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4950, loss_cls: 7.0826, loss: 7.0826 2023-12-29 16:31:40,958 - pyskl - INFO - Epoch [10][3300/3746] lr: 9.893e-02, eta: 3 days, 21:21:15, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2431, top5_acc: 0.5038, loss_cls: 7.0646, loss: 7.0646 2023-12-29 16:32:42,185 - pyskl - INFO - Epoch [10][3400/3746] lr: 9.893e-02, eta: 3 days, 21:19:31, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.4959, loss_cls: 7.0991, loss: 7.0991 2023-12-29 16:33:44,175 - pyskl - INFO - Epoch [10][3500/3746] lr: 9.892e-02, eta: 3 days, 21:17:58, time: 0.620, data_time: 0.000, memory: 16177, top1_acc: 0.2506, top5_acc: 0.4997, loss_cls: 7.0747, loss: 7.0747 2023-12-29 16:34:45,291 - pyskl - INFO - Epoch [10][3600/3746] lr: 9.892e-02, eta: 3 days, 21:16:14, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4930, loss_cls: 7.0956, loss: 7.0956 2023-12-29 16:35:46,084 - pyskl - INFO - Epoch [10][3700/3746] lr: 9.891e-02, eta: 3 days, 21:14:25, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.4927, loss_cls: 7.0789, loss: 7.0789 2023-12-29 16:36:16,261 - pyskl - INFO - Saving checkpoint at 10 epochs 2023-12-29 16:38:05,633 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 16:38:06,677 - pyskl - INFO - top1_acc 0.1902 top5_acc 0.4174 2023-12-29 16:38:06,677 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 16:38:06,719 - pyskl - INFO - mean_acc 0.1900 2023-12-29 16:38:06,725 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_9.pth was removed 2023-12-29 16:38:07,002 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. 2023-12-29 16:38:07,003 - pyskl - INFO - Best top1_acc is 0.1902 at 10 epoch. 2023-12-29 16:38:07,013 - pyskl - INFO - Epoch(val) [10][309] top1_acc: 0.1902, top5_acc: 0.4174, mean_class_accuracy: 0.1900 2023-12-29 16:41:29,462 - pyskl - INFO - Epoch [11][100/3746] lr: 9.890e-02, eta: 3 days, 21:38:13, time: 2.024, data_time: 1.427, memory: 16177, top1_acc: 0.2505, top5_acc: 0.4991, loss_cls: 7.0925, loss: 7.0925 2023-12-29 16:42:29,502 - pyskl - INFO - Epoch [11][200/3746] lr: 9.890e-02, eta: 3 days, 21:36:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.4991, loss_cls: 7.0483, loss: 7.0483 2023-12-29 16:43:30,301 - pyskl - INFO - Epoch [11][300/3746] lr: 9.889e-02, eta: 3 days, 21:34:17, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.4945, loss_cls: 7.0894, loss: 7.0894 2023-12-29 16:44:30,955 - pyskl - INFO - Epoch [11][400/3746] lr: 9.888e-02, eta: 3 days, 21:32:22, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2494, top5_acc: 0.4911, loss_cls: 7.0999, loss: 7.0999 2023-12-29 16:45:31,393 - pyskl - INFO - Epoch [11][500/3746] lr: 9.888e-02, eta: 3 days, 21:30:25, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2506, top5_acc: 0.5083, loss_cls: 7.0676, loss: 7.0676 2023-12-29 16:46:32,027 - pyskl - INFO - Epoch [11][600/3746] lr: 9.887e-02, eta: 3 days, 21:28:31, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.4986, loss_cls: 7.0676, loss: 7.0676 2023-12-29 16:47:32,308 - pyskl - INFO - Epoch [11][700/3746] lr: 9.887e-02, eta: 3 days, 21:26:33, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.4895, loss_cls: 7.1169, loss: 7.1169 2023-12-29 16:48:33,362 - pyskl - INFO - Epoch [11][800/3746] lr: 9.886e-02, eta: 3 days, 21:24:45, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2450, top5_acc: 0.4925, loss_cls: 7.1116, loss: 7.1116 2023-12-29 16:49:34,119 - pyskl - INFO - Epoch [11][900/3746] lr: 9.885e-02, eta: 3 days, 21:22:54, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4995, loss_cls: 7.0596, loss: 7.0596 2023-12-29 16:50:34,451 - pyskl - INFO - Epoch [11][1000/3746] lr: 9.885e-02, eta: 3 days, 21:20:57, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5017, loss_cls: 7.0640, loss: 7.0640 2023-12-29 16:51:35,456 - pyskl - INFO - Epoch [11][1100/3746] lr: 9.884e-02, eta: 3 days, 21:19:09, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2470, top5_acc: 0.4981, loss_cls: 7.0765, loss: 7.0765 2023-12-29 16:52:35,778 - pyskl - INFO - Epoch [11][1200/3746] lr: 9.884e-02, eta: 3 days, 21:17:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2420, top5_acc: 0.5003, loss_cls: 7.0961, loss: 7.0961 2023-12-29 16:53:36,044 - pyskl - INFO - Epoch [11][1300/3746] lr: 9.883e-02, eta: 3 days, 21:15:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2497, top5_acc: 0.5011, loss_cls: 7.0918, loss: 7.0918 2023-12-29 16:54:36,808 - pyskl - INFO - Epoch [11][1400/3746] lr: 9.882e-02, eta: 3 days, 21:13:25, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.5028, loss_cls: 7.0644, loss: 7.0644 2023-12-29 16:55:37,666 - pyskl - INFO - Epoch [11][1500/3746] lr: 9.882e-02, eta: 3 days, 21:11:37, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4925, loss_cls: 7.0696, loss: 7.0696 2023-12-29 16:56:38,405 - pyskl - INFO - Epoch [11][1600/3746] lr: 9.881e-02, eta: 3 days, 21:09:47, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5023, loss_cls: 7.0605, loss: 7.0605 2023-12-29 16:57:38,646 - pyskl - INFO - Epoch [11][1700/3746] lr: 9.881e-02, eta: 3 days, 21:07:50, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4988, loss_cls: 7.0492, loss: 7.0492 2023-12-29 16:58:38,991 - pyskl - INFO - Epoch [11][1800/3746] lr: 9.880e-02, eta: 3 days, 21:05:56, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.5075, loss_cls: 7.0410, loss: 7.0410 2023-12-29 16:59:39,231 - pyskl - INFO - Epoch [11][1900/3746] lr: 9.879e-02, eta: 3 days, 21:04:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.5036, loss_cls: 7.0575, loss: 7.0575 2023-12-29 17:00:39,371 - pyskl - INFO - Epoch [11][2000/3746] lr: 9.879e-02, eta: 3 days, 21:02:03, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4911, loss_cls: 7.0974, loss: 7.0974 2023-12-29 17:01:39,748 - pyskl - INFO - Epoch [11][2100/3746] lr: 9.878e-02, eta: 3 days, 21:00:10, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5056, loss_cls: 7.0080, loss: 7.0080 2023-12-29 17:02:40,428 - pyskl - INFO - Epoch [11][2200/3746] lr: 9.878e-02, eta: 3 days, 20:58:21, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.5019, loss_cls: 7.0609, loss: 7.0609 2023-12-29 17:03:40,952 - pyskl - INFO - Epoch [11][2300/3746] lr: 9.877e-02, eta: 3 days, 20:56:30, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.4981, loss_cls: 7.0750, loss: 7.0750 2023-12-29 17:04:41,564 - pyskl - INFO - Epoch [11][2400/3746] lr: 9.876e-02, eta: 3 days, 20:54:40, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2420, top5_acc: 0.4933, loss_cls: 7.1014, loss: 7.1014 2023-12-29 17:05:42,622 - pyskl - INFO - Epoch [11][2500/3746] lr: 9.876e-02, eta: 3 days, 20:52:57, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.4967, loss_cls: 7.0656, loss: 7.0656 2023-12-29 17:06:43,812 - pyskl - INFO - Epoch [11][2600/3746] lr: 9.875e-02, eta: 3 days, 20:51:15, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4936, loss_cls: 7.0664, loss: 7.0664 2023-12-29 17:07:44,841 - pyskl - INFO - Epoch [11][2700/3746] lr: 9.874e-02, eta: 3 days, 20:49:32, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.4978, loss_cls: 7.0733, loss: 7.0733 2023-12-29 17:08:45,724 - pyskl - INFO - Epoch [11][2800/3746] lr: 9.874e-02, eta: 3 days, 20:47:47, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.4956, loss_cls: 7.0687, loss: 7.0687 2023-12-29 17:09:46,592 - pyskl - INFO - Epoch [11][2900/3746] lr: 9.873e-02, eta: 3 days, 20:46:02, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2423, top5_acc: 0.4913, loss_cls: 7.0904, loss: 7.0904 2023-12-29 17:10:47,266 - pyskl - INFO - Epoch [11][3000/3746] lr: 9.873e-02, eta: 3 days, 20:44:14, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.5091, loss_cls: 7.0358, loss: 7.0358 2023-12-29 17:11:47,659 - pyskl - INFO - Epoch [11][3100/3746] lr: 9.872e-02, eta: 3 days, 20:42:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4956, loss_cls: 7.0986, loss: 7.0986 2023-12-29 17:12:47,899 - pyskl - INFO - Epoch [11][3200/3746] lr: 9.871e-02, eta: 3 days, 20:40:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.4995, loss_cls: 7.0520, loss: 7.0520 2023-12-29 17:13:48,636 - pyskl - INFO - Epoch [11][3300/3746] lr: 9.871e-02, eta: 3 days, 20:38:45, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2450, top5_acc: 0.4878, loss_cls: 7.1002, loss: 7.1002 2023-12-29 17:14:50,503 - pyskl - INFO - Epoch [11][3400/3746] lr: 9.870e-02, eta: 3 days, 20:37:14, time: 0.619, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.4902, loss_cls: 7.0661, loss: 7.0661 2023-12-29 17:15:52,231 - pyskl - INFO - Epoch [11][3500/3746] lr: 9.869e-02, eta: 3 days, 20:35:41, time: 0.617, data_time: 0.001, memory: 16177, top1_acc: 0.2487, top5_acc: 0.5038, loss_cls: 7.0682, loss: 7.0682 2023-12-29 17:16:53,480 - pyskl - INFO - Epoch [11][3600/3746] lr: 9.869e-02, eta: 3 days, 20:34:03, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.4931, loss_cls: 7.0813, loss: 7.0813 2023-12-29 17:17:54,133 - pyskl - INFO - Epoch [11][3700/3746] lr: 9.868e-02, eta: 3 days, 20:32:17, time: 0.607, data_time: 0.001, memory: 16177, top1_acc: 0.2508, top5_acc: 0.5041, loss_cls: 7.0690, loss: 7.0690 2023-12-29 17:18:24,519 - pyskl - INFO - Saving checkpoint at 11 epochs 2023-12-29 17:20:16,470 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 17:20:17,540 - pyskl - INFO - top1_acc 0.0900 top5_acc 0.2464 2023-12-29 17:20:17,540 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 17:20:17,590 - pyskl - INFO - mean_acc 0.0901 2023-12-29 17:20:17,599 - pyskl - INFO - Epoch(val) [11][309] top1_acc: 0.0900, top5_acc: 0.2464, mean_class_accuracy: 0.0901 2023-12-29 17:23:36,573 - pyskl - INFO - Epoch [12][100/3746] lr: 9.867e-02, eta: 3 days, 20:52:54, time: 1.990, data_time: 1.397, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5066, loss_cls: 7.0047, loss: 7.0047 2023-12-29 17:24:36,209 - pyskl - INFO - Epoch [12][200/3746] lr: 9.867e-02, eta: 3 days, 20:50:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5119, loss_cls: 7.0117, loss: 7.0117 2023-12-29 17:25:36,305 - pyskl - INFO - Epoch [12][300/3746] lr: 9.866e-02, eta: 3 days, 20:48:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5034, loss_cls: 7.0344, loss: 7.0344 2023-12-29 17:26:37,021 - pyskl - INFO - Epoch [12][400/3746] lr: 9.865e-02, eta: 3 days, 20:47:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2506, top5_acc: 0.4889, loss_cls: 7.0839, loss: 7.0839 2023-12-29 17:27:37,551 - pyskl - INFO - Epoch [12][500/3746] lr: 9.865e-02, eta: 3 days, 20:45:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.4934, loss_cls: 7.0592, loss: 7.0592 2023-12-29 17:28:37,941 - pyskl - INFO - Epoch [12][600/3746] lr: 9.864e-02, eta: 3 days, 20:43:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.5034, loss_cls: 7.0599, loss: 7.0599 2023-12-29 17:29:38,583 - pyskl - INFO - Epoch [12][700/3746] lr: 9.863e-02, eta: 3 days, 20:41:38, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5041, loss_cls: 7.0353, loss: 7.0353 2023-12-29 17:30:39,089 - pyskl - INFO - Epoch [12][800/3746] lr: 9.863e-02, eta: 3 days, 20:39:49, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.4975, loss_cls: 7.0653, loss: 7.0653 2023-12-29 17:31:39,428 - pyskl - INFO - Epoch [12][900/3746] lr: 9.862e-02, eta: 3 days, 20:37:57, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5006, loss_cls: 7.0456, loss: 7.0456 2023-12-29 17:32:40,267 - pyskl - INFO - Epoch [12][1000/3746] lr: 9.861e-02, eta: 3 days, 20:36:12, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5036, loss_cls: 7.0405, loss: 7.0405 2023-12-29 17:33:40,603 - pyskl - INFO - Epoch [12][1100/3746] lr: 9.861e-02, eta: 3 days, 20:34:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2456, top5_acc: 0.4964, loss_cls: 7.0533, loss: 7.0533 2023-12-29 17:34:41,246 - pyskl - INFO - Epoch [12][1200/3746] lr: 9.860e-02, eta: 3 days, 20:32:34, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.4986, loss_cls: 7.0799, loss: 7.0799 2023-12-29 17:35:41,868 - pyskl - INFO - Epoch [12][1300/3746] lr: 9.859e-02, eta: 3 days, 20:30:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5030, loss_cls: 7.0327, loss: 7.0327 2023-12-29 17:36:42,486 - pyskl - INFO - Epoch [12][1400/3746] lr: 9.859e-02, eta: 3 days, 20:29:00, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.5064, loss_cls: 7.0566, loss: 7.0566 2023-12-29 17:37:43,130 - pyskl - INFO - Epoch [12][1500/3746] lr: 9.858e-02, eta: 3 days, 20:27:14, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.4936, loss_cls: 7.0737, loss: 7.0737 2023-12-29 17:38:43,556 - pyskl - INFO - Epoch [12][1600/3746] lr: 9.857e-02, eta: 3 days, 20:25:25, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4869, loss_cls: 7.0743, loss: 7.0743 2023-12-29 17:39:44,097 - pyskl - INFO - Epoch [12][1700/3746] lr: 9.857e-02, eta: 3 days, 20:23:38, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4944, loss_cls: 7.0705, loss: 7.0705 2023-12-29 17:40:44,603 - pyskl - INFO - Epoch [12][1800/3746] lr: 9.856e-02, eta: 3 days, 20:21:51, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4939, loss_cls: 7.0852, loss: 7.0852 2023-12-29 17:41:45,226 - pyskl - INFO - Epoch [12][1900/3746] lr: 9.855e-02, eta: 3 days, 20:20:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.4991, loss_cls: 7.0553, loss: 7.0553 2023-12-29 17:42:45,806 - pyskl - INFO - Epoch [12][2000/3746] lr: 9.855e-02, eta: 3 days, 20:18:19, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4919, loss_cls: 7.0995, loss: 7.0995 2023-12-29 17:43:45,984 - pyskl - INFO - Epoch [12][2100/3746] lr: 9.854e-02, eta: 3 days, 20:16:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.5000, loss_cls: 7.0895, loss: 7.0895 2023-12-29 17:44:46,492 - pyskl - INFO - Epoch [12][2200/3746] lr: 9.853e-02, eta: 3 days, 20:14:42, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4936, loss_cls: 7.0558, loss: 7.0558 2023-12-29 17:45:47,076 - pyskl - INFO - Epoch [12][2300/3746] lr: 9.853e-02, eta: 3 days, 20:12:57, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.5023, loss_cls: 7.0575, loss: 7.0575 2023-12-29 17:46:47,706 - pyskl - INFO - Epoch [12][2400/3746] lr: 9.852e-02, eta: 3 days, 20:11:12, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.5044, loss_cls: 7.0381, loss: 7.0381 2023-12-29 17:47:48,061 - pyskl - INFO - Epoch [12][2500/3746] lr: 9.851e-02, eta: 3 days, 20:09:25, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4983, loss_cls: 7.0862, loss: 7.0862 2023-12-29 17:48:49,172 - pyskl - INFO - Epoch [12][2600/3746] lr: 9.851e-02, eta: 3 days, 20:07:46, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.5005, loss_cls: 7.0677, loss: 7.0677 2023-12-29 17:49:49,739 - pyskl - INFO - Epoch [12][2700/3746] lr: 9.850e-02, eta: 3 days, 20:06:01, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.4952, loss_cls: 7.0270, loss: 7.0270 2023-12-29 17:50:50,351 - pyskl - INFO - Epoch [12][2800/3746] lr: 9.849e-02, eta: 3 days, 20:04:17, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5086, loss_cls: 7.0037, loss: 7.0037 2023-12-29 17:51:50,966 - pyskl - INFO - Epoch [12][2900/3746] lr: 9.849e-02, eta: 3 days, 20:02:34, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.5047, loss_cls: 7.0611, loss: 7.0611 2023-12-29 17:52:51,859 - pyskl - INFO - Epoch [12][3000/3746] lr: 9.848e-02, eta: 3 days, 20:00:53, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.5123, loss_cls: 7.0239, loss: 7.0239 2023-12-29 17:53:52,526 - pyskl - INFO - Epoch [12][3100/3746] lr: 9.847e-02, eta: 3 days, 19:59:10, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2472, top5_acc: 0.5005, loss_cls: 7.0491, loss: 7.0491 2023-12-29 17:54:53,139 - pyskl - INFO - Epoch [12][3200/3746] lr: 9.847e-02, eta: 3 days, 19:57:27, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.4991, loss_cls: 7.0559, loss: 7.0559 2023-12-29 17:55:54,299 - pyskl - INFO - Epoch [12][3300/3746] lr: 9.846e-02, eta: 3 days, 19:55:51, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4911, loss_cls: 7.0907, loss: 7.0907 2023-12-29 17:56:56,329 - pyskl - INFO - Epoch [12][3400/3746] lr: 9.845e-02, eta: 3 days, 19:54:24, time: 0.620, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.4986, loss_cls: 7.0647, loss: 7.0647 2023-12-29 17:57:57,478 - pyskl - INFO - Epoch [12][3500/3746] lr: 9.845e-02, eta: 3 days, 19:52:48, time: 0.611, data_time: 0.001, memory: 16177, top1_acc: 0.2442, top5_acc: 0.4959, loss_cls: 7.0589, loss: 7.0589 2023-12-29 17:58:58,402 - pyskl - INFO - Epoch [12][3600/3746] lr: 9.844e-02, eta: 3 days, 19:51:09, time: 0.609, data_time: 0.001, memory: 16177, top1_acc: 0.2437, top5_acc: 0.4878, loss_cls: 7.0896, loss: 7.0896 2023-12-29 17:59:58,680 - pyskl - INFO - Epoch [12][3700/3746] lr: 9.843e-02, eta: 3 days, 19:49:23, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2477, top5_acc: 0.4972, loss_cls: 7.0618, loss: 7.0618 2023-12-29 18:00:29,264 - pyskl - INFO - Saving checkpoint at 12 epochs 2023-12-29 18:02:22,893 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 18:02:23,678 - pyskl - INFO - top1_acc 0.1730 top5_acc 0.3796 2023-12-29 18:02:23,678 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 18:02:23,709 - pyskl - INFO - mean_acc 0.1728 2023-12-29 18:02:23,721 - pyskl - INFO - Epoch(val) [12][309] top1_acc: 0.1730, top5_acc: 0.3796, mean_class_accuracy: 0.1728 2023-12-29 18:05:45,087 - pyskl - INFO - Epoch [13][100/3746] lr: 9.842e-02, eta: 3 days, 20:08:28, time: 2.014, data_time: 1.421, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4994, loss_cls: 7.0515, loss: 7.0515 2023-12-29 18:06:44,810 - pyskl - INFO - Epoch [13][200/3746] lr: 9.842e-02, eta: 3 days, 20:06:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5081, loss_cls: 7.0014, loss: 7.0014 2023-12-29 18:07:45,416 - pyskl - INFO - Epoch [13][300/3746] lr: 9.841e-02, eta: 3 days, 20:04:48, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.5025, loss_cls: 7.0545, loss: 7.0545 2023-12-29 18:08:46,172 - pyskl - INFO - Epoch [13][400/3746] lr: 9.840e-02, eta: 3 days, 20:03:05, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5034, loss_cls: 7.0201, loss: 7.0201 2023-12-29 18:09:47,367 - pyskl - INFO - Epoch [13][500/3746] lr: 9.839e-02, eta: 3 days, 20:01:27, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.5075, loss_cls: 7.0468, loss: 7.0468 2023-12-29 18:10:48,728 - pyskl - INFO - Epoch [13][600/3746] lr: 9.839e-02, eta: 3 days, 19:59:52, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.5050, loss_cls: 7.0602, loss: 7.0602 2023-12-29 18:11:49,811 - pyskl - INFO - Epoch [13][700/3746] lr: 9.838e-02, eta: 3 days, 19:58:13, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5077, loss_cls: 7.0376, loss: 7.0376 2023-12-29 18:12:50,729 - pyskl - INFO - Epoch [13][800/3746] lr: 9.837e-02, eta: 3 days, 19:56:33, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5095, loss_cls: 7.0065, loss: 7.0065 2023-12-29 18:13:52,033 - pyskl - INFO - Epoch [13][900/3746] lr: 9.837e-02, eta: 3 days, 19:54:57, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4963, loss_cls: 7.0653, loss: 7.0653 2023-12-29 18:14:53,366 - pyskl - INFO - Epoch [13][1000/3746] lr: 9.836e-02, eta: 3 days, 19:53:21, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.5036, loss_cls: 7.0209, loss: 7.0209 2023-12-29 18:15:54,165 - pyskl - INFO - Epoch [13][1100/3746] lr: 9.835e-02, eta: 3 days, 19:51:40, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5059, loss_cls: 7.0225, loss: 7.0225 2023-12-29 18:16:54,562 - pyskl - INFO - Epoch [13][1200/3746] lr: 9.834e-02, eta: 3 days, 19:49:54, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4963, loss_cls: 7.0296, loss: 7.0296 2023-12-29 18:17:55,130 - pyskl - INFO - Epoch [13][1300/3746] lr: 9.834e-02, eta: 3 days, 19:48:11, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2423, top5_acc: 0.4950, loss_cls: 7.0570, loss: 7.0570 2023-12-29 18:18:56,038 - pyskl - INFO - Epoch [13][1400/3746] lr: 9.833e-02, eta: 3 days, 19:46:31, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5103, loss_cls: 7.0365, loss: 7.0365 2023-12-29 18:19:56,869 - pyskl - INFO - Epoch [13][1500/3746] lr: 9.832e-02, eta: 3 days, 19:44:51, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5012, loss_cls: 7.0670, loss: 7.0670 2023-12-29 18:20:58,022 - pyskl - INFO - Epoch [13][1600/3746] lr: 9.832e-02, eta: 3 days, 19:43:15, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4994, loss_cls: 7.0568, loss: 7.0568 2023-12-29 18:21:58,618 - pyskl - INFO - Epoch [13][1700/3746] lr: 9.831e-02, eta: 3 days, 19:41:32, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5023, loss_cls: 7.0400, loss: 7.0400 2023-12-29 18:22:59,449 - pyskl - INFO - Epoch [13][1800/3746] lr: 9.830e-02, eta: 3 days, 19:39:52, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5053, loss_cls: 7.0444, loss: 7.0444 2023-12-29 18:24:00,309 - pyskl - INFO - Epoch [13][1900/3746] lr: 9.829e-02, eta: 3 days, 19:38:13, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.4944, loss_cls: 7.0559, loss: 7.0559 2023-12-29 18:25:01,549 - pyskl - INFO - Epoch [13][2000/3746] lr: 9.829e-02, eta: 3 days, 19:36:38, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2470, top5_acc: 0.4911, loss_cls: 7.0941, loss: 7.0941 2023-12-29 18:26:02,072 - pyskl - INFO - Epoch [13][2100/3746] lr: 9.828e-02, eta: 3 days, 19:34:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5053, loss_cls: 7.0456, loss: 7.0456 2023-12-29 18:27:02,835 - pyskl - INFO - Epoch [13][2200/3746] lr: 9.827e-02, eta: 3 days, 19:33:16, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.4984, loss_cls: 7.0666, loss: 7.0666 2023-12-29 18:28:03,294 - pyskl - INFO - Epoch [13][2300/3746] lr: 9.827e-02, eta: 3 days, 19:31:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4911, loss_cls: 7.0436, loss: 7.0436 2023-12-29 18:29:03,812 - pyskl - INFO - Epoch [13][2400/3746] lr: 9.826e-02, eta: 3 days, 19:29:51, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.4980, loss_cls: 7.0228, loss: 7.0228 2023-12-29 18:30:04,225 - pyskl - INFO - Epoch [13][2500/3746] lr: 9.825e-02, eta: 3 days, 19:28:08, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2470, top5_acc: 0.4897, loss_cls: 7.0974, loss: 7.0974 2023-12-29 18:31:04,652 - pyskl - INFO - Epoch [13][2600/3746] lr: 9.824e-02, eta: 3 days, 19:26:25, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5059, loss_cls: 7.0092, loss: 7.0092 2023-12-29 18:32:05,169 - pyskl - INFO - Epoch [13][2700/3746] lr: 9.824e-02, eta: 3 days, 19:24:43, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.4964, loss_cls: 7.0464, loss: 7.0464 2023-12-29 18:33:05,713 - pyskl - INFO - Epoch [13][2800/3746] lr: 9.823e-02, eta: 3 days, 19:23:02, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5069, loss_cls: 7.0229, loss: 7.0229 2023-12-29 18:34:06,253 - pyskl - INFO - Epoch [13][2900/3746] lr: 9.822e-02, eta: 3 days, 19:21:21, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5061, loss_cls: 7.0496, loss: 7.0496 2023-12-29 18:35:06,864 - pyskl - INFO - Epoch [13][3000/3746] lr: 9.821e-02, eta: 3 days, 19:19:41, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4952, loss_cls: 7.0543, loss: 7.0543 2023-12-29 18:36:07,636 - pyskl - INFO - Epoch [13][3100/3746] lr: 9.821e-02, eta: 3 days, 19:18:03, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.4997, loss_cls: 7.0527, loss: 7.0527 2023-12-29 18:37:08,252 - pyskl - INFO - Epoch [13][3200/3746] lr: 9.820e-02, eta: 3 days, 19:16:23, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.5014, loss_cls: 7.0585, loss: 7.0585 2023-12-29 18:38:10,053 - pyskl - INFO - Epoch [13][3300/3746] lr: 9.819e-02, eta: 3 days, 19:14:56, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.2584, top5_acc: 0.4919, loss_cls: 7.0743, loss: 7.0743 2023-12-29 18:39:11,427 - pyskl - INFO - Epoch [13][3400/3746] lr: 9.818e-02, eta: 3 days, 19:13:25, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.5102, loss_cls: 7.0232, loss: 7.0232 2023-12-29 18:40:12,886 - pyskl - INFO - Epoch [13][3500/3746] lr: 9.818e-02, eta: 3 days, 19:11:55, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5094, loss_cls: 7.0226, loss: 7.0226 2023-12-29 18:41:13,688 - pyskl - INFO - Epoch [13][3600/3746] lr: 9.817e-02, eta: 3 days, 19:10:17, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5039, loss_cls: 6.9867, loss: 6.9867 2023-12-29 18:42:14,044 - pyskl - INFO - Epoch [13][3700/3746] lr: 9.816e-02, eta: 3 days, 19:08:36, time: 0.604, data_time: 0.001, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5055, loss_cls: 7.0128, loss: 7.0128 2023-12-29 18:42:43,950 - pyskl - INFO - Saving checkpoint at 13 epochs 2023-12-29 18:44:42,429 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 18:44:43,449 - pyskl - INFO - top1_acc 0.1915 top5_acc 0.4169 2023-12-29 18:44:43,450 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 18:44:43,493 - pyskl - INFO - mean_acc 0.1914 2023-12-29 18:44:43,502 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_10.pth was removed 2023-12-29 18:44:43,791 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. 2023-12-29 18:44:43,791 - pyskl - INFO - Best top1_acc is 0.1915 at 13 epoch. 2023-12-29 18:44:43,807 - pyskl - INFO - Epoch(val) [13][309] top1_acc: 0.1915, top5_acc: 0.4169, mean_class_accuracy: 0.1914 2023-12-29 18:48:11,624 - pyskl - INFO - Epoch [14][100/3746] lr: 9.815e-02, eta: 3 days, 19:27:06, time: 2.078, data_time: 1.484, memory: 16177, top1_acc: 0.2584, top5_acc: 0.5086, loss_cls: 6.9900, loss: 6.9900 2023-12-29 18:49:11,137 - pyskl - INFO - Epoch [14][200/3746] lr: 9.814e-02, eta: 3 days, 19:25:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2477, top5_acc: 0.5047, loss_cls: 7.0253, loss: 7.0253 2023-12-29 18:50:11,065 - pyskl - INFO - Epoch [14][300/3746] lr: 9.814e-02, eta: 3 days, 19:23:25, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2425, top5_acc: 0.4947, loss_cls: 7.0707, loss: 7.0707 2023-12-29 18:51:11,676 - pyskl - INFO - Epoch [14][400/3746] lr: 9.813e-02, eta: 3 days, 19:21:44, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.5047, loss_cls: 7.0322, loss: 7.0322 2023-12-29 18:52:12,522 - pyskl - INFO - Epoch [14][500/3746] lr: 9.812e-02, eta: 3 days, 19:20:05, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.5023, loss_cls: 7.0077, loss: 7.0077 2023-12-29 18:53:13,746 - pyskl - INFO - Epoch [14][600/3746] lr: 9.811e-02, eta: 3 days, 19:18:31, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5025, loss_cls: 7.0275, loss: 7.0275 2023-12-29 18:54:15,073 - pyskl - INFO - Epoch [14][700/3746] lr: 9.811e-02, eta: 3 days, 19:16:58, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5025, loss_cls: 7.0427, loss: 7.0427 2023-12-29 18:55:16,078 - pyskl - INFO - Epoch [14][800/3746] lr: 9.810e-02, eta: 3 days, 19:15:21, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5080, loss_cls: 6.9945, loss: 6.9945 2023-12-29 18:56:17,497 - pyskl - INFO - Epoch [14][900/3746] lr: 9.809e-02, eta: 3 days, 19:13:49, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.5020, loss_cls: 7.0316, loss: 7.0316 2023-12-29 18:57:18,318 - pyskl - INFO - Epoch [14][1000/3746] lr: 9.808e-02, eta: 3 days, 19:12:11, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5144, loss_cls: 6.9596, loss: 6.9596 2023-12-29 18:58:18,795 - pyskl - INFO - Epoch [14][1100/3746] lr: 9.807e-02, eta: 3 days, 19:10:30, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5038, loss_cls: 7.0321, loss: 7.0321 2023-12-29 18:59:19,202 - pyskl - INFO - Epoch [14][1200/3746] lr: 9.807e-02, eta: 3 days, 19:08:48, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5056, loss_cls: 7.0175, loss: 7.0175 2023-12-29 19:00:19,706 - pyskl - INFO - Epoch [14][1300/3746] lr: 9.806e-02, eta: 3 days, 19:07:07, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2506, top5_acc: 0.5067, loss_cls: 7.0328, loss: 7.0328 2023-12-29 19:01:20,495 - pyskl - INFO - Epoch [14][1400/3746] lr: 9.805e-02, eta: 3 days, 19:05:29, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5067, loss_cls: 7.0096, loss: 7.0096 2023-12-29 19:02:21,407 - pyskl - INFO - Epoch [14][1500/3746] lr: 9.804e-02, eta: 3 days, 19:03:53, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.4992, loss_cls: 7.0305, loss: 7.0305 2023-12-29 19:03:22,436 - pyskl - INFO - Epoch [14][1600/3746] lr: 9.804e-02, eta: 3 days, 19:02:18, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2494, top5_acc: 0.5044, loss_cls: 7.0514, loss: 7.0514 2023-12-29 19:04:23,107 - pyskl - INFO - Epoch [14][1700/3746] lr: 9.803e-02, eta: 3 days, 19:00:40, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.4995, loss_cls: 7.0450, loss: 7.0450 2023-12-29 19:05:23,944 - pyskl - INFO - Epoch [14][1800/3746] lr: 9.802e-02, eta: 3 days, 18:59:03, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2466, top5_acc: 0.4853, loss_cls: 7.0741, loss: 7.0741 2023-12-29 19:06:24,230 - pyskl - INFO - Epoch [14][1900/3746] lr: 9.801e-02, eta: 3 days, 18:57:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.4972, loss_cls: 7.0539, loss: 7.0539 2023-12-29 19:07:24,625 - pyskl - INFO - Epoch [14][2000/3746] lr: 9.800e-02, eta: 3 days, 18:55:40, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.5083, loss_cls: 7.0156, loss: 7.0156 2023-12-29 19:08:24,965 - pyskl - INFO - Epoch [14][2100/3746] lr: 9.800e-02, eta: 3 days, 18:53:59, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5055, loss_cls: 7.0006, loss: 7.0006 2023-12-29 19:09:25,921 - pyskl - INFO - Epoch [14][2200/3746] lr: 9.799e-02, eta: 3 days, 18:52:24, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5072, loss_cls: 7.0029, loss: 7.0029 2023-12-29 19:10:27,372 - pyskl - INFO - Epoch [14][2300/3746] lr: 9.798e-02, eta: 3 days, 18:50:54, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5016, loss_cls: 7.0306, loss: 7.0306 2023-12-29 19:11:27,906 - pyskl - INFO - Epoch [14][2400/3746] lr: 9.797e-02, eta: 3 days, 18:49:15, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5098, loss_cls: 7.0103, loss: 7.0103 2023-12-29 19:12:28,599 - pyskl - INFO - Epoch [14][2500/3746] lr: 9.797e-02, eta: 3 days, 18:47:38, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5106, loss_cls: 7.0044, loss: 7.0044 2023-12-29 19:13:29,369 - pyskl - INFO - Epoch [14][2600/3746] lr: 9.796e-02, eta: 3 days, 18:46:02, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5002, loss_cls: 7.0556, loss: 7.0556 2023-12-29 19:14:29,983 - pyskl - INFO - Epoch [14][2700/3746] lr: 9.795e-02, eta: 3 days, 18:44:24, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.4963, loss_cls: 7.0462, loss: 7.0462 2023-12-29 19:15:30,867 - pyskl - INFO - Epoch [14][2800/3746] lr: 9.794e-02, eta: 3 days, 18:42:50, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4808, loss_cls: 7.1043, loss: 7.1043 2023-12-29 19:16:31,755 - pyskl - INFO - Epoch [14][2900/3746] lr: 9.793e-02, eta: 3 days, 18:41:15, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5117, loss_cls: 7.0023, loss: 7.0023 2023-12-29 19:17:33,049 - pyskl - INFO - Epoch [14][3000/3746] lr: 9.793e-02, eta: 3 days, 18:39:45, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.4919, loss_cls: 7.0561, loss: 7.0561 2023-12-29 19:18:34,166 - pyskl - INFO - Epoch [14][3100/3746] lr: 9.792e-02, eta: 3 days, 18:38:13, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4948, loss_cls: 7.0583, loss: 7.0583 2023-12-29 19:19:35,106 - pyskl - INFO - Epoch [14][3200/3746] lr: 9.791e-02, eta: 3 days, 18:36:39, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2584, top5_acc: 0.5052, loss_cls: 7.0316, loss: 7.0316 2023-12-29 19:20:37,215 - pyskl - INFO - Epoch [14][3300/3746] lr: 9.790e-02, eta: 3 days, 18:35:17, time: 0.621, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.4966, loss_cls: 7.0408, loss: 7.0408 2023-12-29 19:21:39,638 - pyskl - INFO - Epoch [14][3400/3746] lr: 9.789e-02, eta: 3 days, 18:33:58, time: 0.624, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5041, loss_cls: 7.0145, loss: 7.0145 2023-12-29 19:22:40,494 - pyskl - INFO - Epoch [14][3500/3746] lr: 9.789e-02, eta: 3 days, 18:32:24, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4938, loss_cls: 7.0738, loss: 7.0738 2023-12-29 19:23:41,236 - pyskl - INFO - Epoch [14][3600/3746] lr: 9.788e-02, eta: 3 days, 18:30:48, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5062, loss_cls: 7.0218, loss: 7.0218 2023-12-29 19:24:41,874 - pyskl - INFO - Epoch [14][3700/3746] lr: 9.787e-02, eta: 3 days, 18:29:12, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4933, loss_cls: 7.1345, loss: 7.1345 2023-12-29 19:25:11,869 - pyskl - INFO - Saving checkpoint at 14 epochs 2023-12-29 19:27:10,494 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 19:27:11,552 - pyskl - INFO - top1_acc 0.1586 top5_acc 0.3759 2023-12-29 19:27:11,552 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 19:27:11,590 - pyskl - INFO - mean_acc 0.1586 2023-12-29 19:27:11,599 - pyskl - INFO - Epoch(val) [14][309] top1_acc: 0.1586, top5_acc: 0.3759, mean_class_accuracy: 0.1586 2023-12-29 19:30:34,846 - pyskl - INFO - Epoch [15][100/3746] lr: 9.786e-02, eta: 3 days, 18:45:24, time: 2.032, data_time: 1.436, memory: 16177, top1_acc: 0.2584, top5_acc: 0.5030, loss_cls: 7.0190, loss: 7.0190 2023-12-29 19:31:34,726 - pyskl - INFO - Epoch [15][200/3746] lr: 9.785e-02, eta: 3 days, 18:43:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2470, top5_acc: 0.5045, loss_cls: 7.0368, loss: 7.0368 2023-12-29 19:32:35,558 - pyskl - INFO - Epoch [15][300/3746] lr: 9.784e-02, eta: 3 days, 18:42:03, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.5066, loss_cls: 7.0006, loss: 7.0006 2023-12-29 19:33:36,719 - pyskl - INFO - Epoch [15][400/3746] lr: 9.783e-02, eta: 3 days, 18:40:30, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.4992, loss_cls: 7.0211, loss: 7.0211 2023-12-29 19:34:37,966 - pyskl - INFO - Epoch [15][500/3746] lr: 9.783e-02, eta: 3 days, 18:38:58, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.5084, loss_cls: 6.9967, loss: 6.9967 2023-12-29 19:35:39,301 - pyskl - INFO - Epoch [15][600/3746] lr: 9.782e-02, eta: 3 days, 18:37:27, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4884, loss_cls: 7.0744, loss: 7.0744 2023-12-29 19:36:40,642 - pyskl - INFO - Epoch [15][700/3746] lr: 9.781e-02, eta: 3 days, 18:35:57, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.5003, loss_cls: 7.0471, loss: 7.0471 2023-12-29 19:37:41,827 - pyskl - INFO - Epoch [15][800/3746] lr: 9.780e-02, eta: 3 days, 18:34:25, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.4973, loss_cls: 7.0251, loss: 7.0251 2023-12-29 19:38:42,854 - pyskl - INFO - Epoch [15][900/3746] lr: 9.779e-02, eta: 3 days, 18:32:51, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5075, loss_cls: 7.0015, loss: 7.0015 2023-12-29 19:39:43,514 - pyskl - INFO - Epoch [15][1000/3746] lr: 9.778e-02, eta: 3 days, 18:31:14, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5094, loss_cls: 7.0245, loss: 7.0245 2023-12-29 19:40:44,859 - pyskl - INFO - Epoch [15][1100/3746] lr: 9.778e-02, eta: 3 days, 18:29:44, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4953, loss_cls: 7.0657, loss: 7.0657 2023-12-29 19:41:46,102 - pyskl - INFO - Epoch [15][1200/3746] lr: 9.777e-02, eta: 3 days, 18:28:13, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5064, loss_cls: 7.0159, loss: 7.0159 2023-12-29 19:42:46,583 - pyskl - INFO - Epoch [15][1300/3746] lr: 9.776e-02, eta: 3 days, 18:26:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5034, loss_cls: 7.0210, loss: 7.0210 2023-12-29 19:43:46,990 - pyskl - INFO - Epoch [15][1400/3746] lr: 9.775e-02, eta: 3 days, 18:24:56, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5097, loss_cls: 6.9731, loss: 6.9731 2023-12-29 19:44:47,583 - pyskl - INFO - Epoch [15][1500/3746] lr: 9.774e-02, eta: 3 days, 18:23:20, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5114, loss_cls: 7.0151, loss: 7.0151 2023-12-29 19:45:48,058 - pyskl - INFO - Epoch [15][1600/3746] lr: 9.773e-02, eta: 3 days, 18:21:42, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2409, top5_acc: 0.4914, loss_cls: 7.0943, loss: 7.0943 2023-12-29 19:46:48,471 - pyskl - INFO - Epoch [15][1700/3746] lr: 9.773e-02, eta: 3 days, 18:20:04, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5038, loss_cls: 7.0174, loss: 7.0174 2023-12-29 19:47:49,057 - pyskl - INFO - Epoch [15][1800/3746] lr: 9.772e-02, eta: 3 days, 18:18:27, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5031, loss_cls: 7.0224, loss: 7.0224 2023-12-29 19:48:49,751 - pyskl - INFO - Epoch [15][1900/3746] lr: 9.771e-02, eta: 3 days, 18:16:52, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.5053, loss_cls: 7.0130, loss: 7.0130 2023-12-29 19:49:50,211 - pyskl - INFO - Epoch [15][2000/3746] lr: 9.770e-02, eta: 3 days, 18:15:14, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4913, loss_cls: 7.0367, loss: 7.0367 2023-12-29 19:50:50,897 - pyskl - INFO - Epoch [15][2100/3746] lr: 9.769e-02, eta: 3 days, 18:13:39, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.4903, loss_cls: 7.0902, loss: 7.0902 2023-12-29 19:51:51,520 - pyskl - INFO - Epoch [15][2200/3746] lr: 9.768e-02, eta: 3 days, 18:12:04, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.4966, loss_cls: 7.0578, loss: 7.0578 2023-12-29 19:52:52,188 - pyskl - INFO - Epoch [15][2300/3746] lr: 9.768e-02, eta: 3 days, 18:10:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.4941, loss_cls: 7.0680, loss: 7.0680 2023-12-29 19:53:52,674 - pyskl - INFO - Epoch [15][2400/3746] lr: 9.767e-02, eta: 3 days, 18:08:52, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5056, loss_cls: 7.0198, loss: 7.0198 2023-12-29 19:54:53,068 - pyskl - INFO - Epoch [15][2500/3746] lr: 9.766e-02, eta: 3 days, 18:07:15, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.4997, loss_cls: 7.0484, loss: 7.0484 2023-12-29 19:55:53,847 - pyskl - INFO - Epoch [15][2600/3746] lr: 9.765e-02, eta: 3 days, 18:05:41, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2406, top5_acc: 0.4916, loss_cls: 7.0684, loss: 7.0684 2023-12-29 19:56:54,495 - pyskl - INFO - Epoch [15][2700/3746] lr: 9.764e-02, eta: 3 days, 18:04:06, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5031, loss_cls: 7.0094, loss: 7.0094 2023-12-29 19:57:55,916 - pyskl - INFO - Epoch [15][2800/3746] lr: 9.763e-02, eta: 3 days, 18:02:39, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.4986, loss_cls: 7.0497, loss: 7.0497 2023-12-29 19:58:56,675 - pyskl - INFO - Epoch [15][2900/3746] lr: 9.763e-02, eta: 3 days, 18:01:05, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.5075, loss_cls: 7.0474, loss: 7.0474 2023-12-29 19:59:57,617 - pyskl - INFO - Epoch [15][3000/3746] lr: 9.762e-02, eta: 3 days, 17:59:34, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.4953, loss_cls: 7.0692, loss: 7.0692 2023-12-29 20:00:58,803 - pyskl - INFO - Epoch [15][3100/3746] lr: 9.761e-02, eta: 3 days, 17:58:04, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2472, top5_acc: 0.4930, loss_cls: 7.0601, loss: 7.0601 2023-12-29 20:02:00,996 - pyskl - INFO - Epoch [15][3200/3746] lr: 9.760e-02, eta: 3 days, 17:56:44, time: 0.622, data_time: 0.000, memory: 16177, top1_acc: 0.2558, top5_acc: 0.5080, loss_cls: 7.0084, loss: 7.0084 2023-12-29 20:03:03,120 - pyskl - INFO - Epoch [15][3300/3746] lr: 9.759e-02, eta: 3 days, 17:55:24, time: 0.621, data_time: 0.001, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5044, loss_cls: 7.0411, loss: 7.0411 2023-12-29 20:04:04,503 - pyskl - INFO - Epoch [15][3400/3746] lr: 9.758e-02, eta: 3 days, 17:53:56, time: 0.614, data_time: 0.001, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5080, loss_cls: 6.9722, loss: 6.9722 2023-12-29 20:05:05,115 - pyskl - INFO - Epoch [15][3500/3746] lr: 9.757e-02, eta: 3 days, 17:52:22, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5036, loss_cls: 7.0037, loss: 7.0037 2023-12-29 20:06:05,921 - pyskl - INFO - Epoch [15][3600/3746] lr: 9.757e-02, eta: 3 days, 17:50:50, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5100, loss_cls: 6.9922, loss: 6.9922 2023-12-29 20:07:06,295 - pyskl - INFO - Epoch [15][3700/3746] lr: 9.756e-02, eta: 3 days, 17:49:14, time: 0.604, data_time: 0.001, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5084, loss_cls: 6.9935, loss: 6.9935 2023-12-29 20:07:36,584 - pyskl - INFO - Saving checkpoint at 15 epochs 2023-12-29 20:09:35,134 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 20:09:35,914 - pyskl - INFO - top1_acc 0.1642 top5_acc 0.3790 2023-12-29 20:09:35,914 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 20:09:35,944 - pyskl - INFO - mean_acc 0.1640 2023-12-29 20:09:35,951 - pyskl - INFO - Epoch(val) [15][309] top1_acc: 0.1642, top5_acc: 0.3790, mean_class_accuracy: 0.1640 2023-12-29 20:12:56,427 - pyskl - INFO - Epoch [16][100/3746] lr: 9.754e-02, eta: 3 days, 18:03:43, time: 2.005, data_time: 1.412, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5098, loss_cls: 6.9766, loss: 6.9766 2023-12-29 20:13:56,099 - pyskl - INFO - Epoch [16][200/3746] lr: 9.754e-02, eta: 3 days, 18:01:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5108, loss_cls: 6.9962, loss: 6.9962 2023-12-29 20:14:56,284 - pyskl - INFO - Epoch [16][300/3746] lr: 9.753e-02, eta: 3 days, 18:00:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5064, loss_cls: 6.9839, loss: 6.9839 2023-12-29 20:15:56,791 - pyskl - INFO - Epoch [16][400/3746] lr: 9.752e-02, eta: 3 days, 17:58:43, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5019, loss_cls: 7.0216, loss: 7.0216 2023-12-29 20:16:57,294 - pyskl - INFO - Epoch [16][500/3746] lr: 9.751e-02, eta: 3 days, 17:57:07, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5075, loss_cls: 7.0177, loss: 7.0177 2023-12-29 20:17:57,877 - pyskl - INFO - Epoch [16][600/3746] lr: 9.750e-02, eta: 3 days, 17:55:31, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5088, loss_cls: 6.9885, loss: 6.9885 2023-12-29 20:18:58,613 - pyskl - INFO - Epoch [16][700/3746] lr: 9.749e-02, eta: 3 days, 17:53:58, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5167, loss_cls: 7.0148, loss: 7.0148 2023-12-29 20:19:59,350 - pyskl - INFO - Epoch [16][800/3746] lr: 9.748e-02, eta: 3 days, 17:52:24, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5120, loss_cls: 6.9742, loss: 6.9742 2023-12-29 20:21:00,043 - pyskl - INFO - Epoch [16][900/3746] lr: 9.747e-02, eta: 3 days, 17:50:50, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.4991, loss_cls: 7.0512, loss: 7.0512 2023-12-29 20:22:00,915 - pyskl - INFO - Epoch [16][1000/3746] lr: 9.747e-02, eta: 3 days, 17:49:17, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5206, loss_cls: 6.9490, loss: 6.9490 2023-12-29 20:23:01,266 - pyskl - INFO - Epoch [16][1100/3746] lr: 9.746e-02, eta: 3 days, 17:47:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4927, loss_cls: 7.0625, loss: 7.0625 2023-12-29 20:24:01,621 - pyskl - INFO - Epoch [16][1200/3746] lr: 9.745e-02, eta: 3 days, 17:46:04, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5066, loss_cls: 7.0160, loss: 7.0160 2023-12-29 20:25:01,852 - pyskl - INFO - Epoch [16][1300/3746] lr: 9.744e-02, eta: 3 days, 17:44:26, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4955, loss_cls: 7.0639, loss: 7.0639 2023-12-29 20:26:02,227 - pyskl - INFO - Epoch [16][1400/3746] lr: 9.743e-02, eta: 3 days, 17:42:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5094, loss_cls: 7.0108, loss: 7.0108 2023-12-29 20:27:02,613 - pyskl - INFO - Epoch [16][1500/3746] lr: 9.742e-02, eta: 3 days, 17:41:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.4894, loss_cls: 7.1080, loss: 7.1080 2023-12-29 20:28:03,565 - pyskl - INFO - Epoch [16][1600/3746] lr: 9.741e-02, eta: 3 days, 17:39:43, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5111, loss_cls: 6.9961, loss: 6.9961 2023-12-29 20:29:04,087 - pyskl - INFO - Epoch [16][1700/3746] lr: 9.740e-02, eta: 3 days, 17:38:09, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.4998, loss_cls: 7.0327, loss: 7.0327 2023-12-29 20:30:04,738 - pyskl - INFO - Epoch [16][1800/3746] lr: 9.740e-02, eta: 3 days, 17:36:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5033, loss_cls: 7.0134, loss: 7.0134 2023-12-29 20:31:04,958 - pyskl - INFO - Epoch [16][1900/3746] lr: 9.739e-02, eta: 3 days, 17:34:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5084, loss_cls: 6.9786, loss: 6.9786 2023-12-29 20:32:05,604 - pyskl - INFO - Epoch [16][2000/3746] lr: 9.738e-02, eta: 3 days, 17:33:25, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.5036, loss_cls: 7.0226, loss: 7.0226 2023-12-29 20:33:06,041 - pyskl - INFO - Epoch [16][2100/3746] lr: 9.737e-02, eta: 3 days, 17:31:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5047, loss_cls: 7.0024, loss: 7.0024 2023-12-29 20:34:07,154 - pyskl - INFO - Epoch [16][2200/3746] lr: 9.736e-02, eta: 3 days, 17:30:21, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.5023, loss_cls: 7.0198, loss: 7.0198 2023-12-29 20:35:08,749 - pyskl - INFO - Epoch [16][2300/3746] lr: 9.735e-02, eta: 3 days, 17:28:57, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5020, loss_cls: 6.9982, loss: 6.9982 2023-12-29 20:36:09,834 - pyskl - INFO - Epoch [16][2400/3746] lr: 9.734e-02, eta: 3 days, 17:27:28, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5083, loss_cls: 6.9757, loss: 6.9757 2023-12-29 20:37:10,317 - pyskl - INFO - Epoch [16][2500/3746] lr: 9.733e-02, eta: 3 days, 17:25:54, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5150, loss_cls: 6.9850, loss: 6.9850 2023-12-29 20:38:11,125 - pyskl - INFO - Epoch [16][2600/3746] lr: 9.732e-02, eta: 3 days, 17:24:23, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5008, loss_cls: 7.0318, loss: 7.0318 2023-12-29 20:39:12,157 - pyskl - INFO - Epoch [16][2700/3746] lr: 9.731e-02, eta: 3 days, 17:22:53, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.5003, loss_cls: 7.0351, loss: 7.0351 2023-12-29 20:40:13,006 - pyskl - INFO - Epoch [16][2800/3746] lr: 9.731e-02, eta: 3 days, 17:21:23, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5100, loss_cls: 6.9653, loss: 6.9653 2023-12-29 20:41:14,145 - pyskl - INFO - Epoch [16][2900/3746] lr: 9.730e-02, eta: 3 days, 17:19:55, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5097, loss_cls: 6.9858, loss: 6.9858 2023-12-29 20:42:14,638 - pyskl - INFO - Epoch [16][3000/3746] lr: 9.729e-02, eta: 3 days, 17:18:21, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5041, loss_cls: 7.0066, loss: 7.0066 2023-12-29 20:43:15,375 - pyskl - INFO - Epoch [16][3100/3746] lr: 9.728e-02, eta: 3 days, 17:16:50, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.5055, loss_cls: 7.0410, loss: 7.0410 2023-12-29 20:44:17,171 - pyskl - INFO - Epoch [16][3200/3746] lr: 9.727e-02, eta: 3 days, 17:15:28, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.5006, loss_cls: 7.0604, loss: 7.0604 2023-12-29 20:45:18,716 - pyskl - INFO - Epoch [16][3300/3746] lr: 9.726e-02, eta: 3 days, 17:14:04, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4991, loss_cls: 7.0414, loss: 7.0414 2023-12-29 20:46:19,495 - pyskl - INFO - Epoch [16][3400/3746] lr: 9.725e-02, eta: 3 days, 17:12:33, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.5075, loss_cls: 7.0157, loss: 7.0157 2023-12-29 20:47:19,850 - pyskl - INFO - Epoch [16][3500/3746] lr: 9.724e-02, eta: 3 days, 17:10:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.4986, loss_cls: 7.0430, loss: 7.0430 2023-12-29 20:48:21,292 - pyskl - INFO - Epoch [16][3600/3746] lr: 9.723e-02, eta: 3 days, 17:09:34, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2375, top5_acc: 0.4883, loss_cls: 7.0819, loss: 7.0819 2023-12-29 20:49:21,277 - pyskl - INFO - Epoch [16][3700/3746] lr: 9.722e-02, eta: 3 days, 17:07:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5100, loss_cls: 6.9739, loss: 6.9739 2023-12-29 20:49:51,458 - pyskl - INFO - Saving checkpoint at 16 epochs 2023-12-29 20:51:49,659 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 20:51:50,443 - pyskl - INFO - top1_acc 0.1628 top5_acc 0.3773 2023-12-29 20:51:50,443 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 20:51:50,476 - pyskl - INFO - mean_acc 0.1627 2023-12-29 20:51:50,484 - pyskl - INFO - Epoch(val) [16][309] top1_acc: 0.1628, top5_acc: 0.3773, mean_class_accuracy: 0.1627 2023-12-29 20:55:16,937 - pyskl - INFO - Epoch [17][100/3746] lr: 9.721e-02, eta: 3 days, 17:22:10, time: 2.064, data_time: 1.469, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5202, loss_cls: 6.9584, loss: 6.9584 2023-12-29 20:56:16,859 - pyskl - INFO - Epoch [17][200/3746] lr: 9.720e-02, eta: 3 days, 17:20:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5025, loss_cls: 7.0167, loss: 7.0167 2023-12-29 20:57:16,829 - pyskl - INFO - Epoch [17][300/3746] lr: 9.719e-02, eta: 3 days, 17:18:52, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5066, loss_cls: 6.9933, loss: 6.9933 2023-12-29 20:58:17,259 - pyskl - INFO - Epoch [17][400/3746] lr: 9.718e-02, eta: 3 days, 17:17:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2528, top5_acc: 0.5008, loss_cls: 7.0321, loss: 7.0321 2023-12-29 20:59:17,928 - pyskl - INFO - Epoch [17][500/3746] lr: 9.717e-02, eta: 3 days, 17:15:45, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5123, loss_cls: 6.9745, loss: 6.9745 2023-12-29 21:00:18,396 - pyskl - INFO - Epoch [17][600/3746] lr: 9.716e-02, eta: 3 days, 17:14:11, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5223, loss_cls: 6.9331, loss: 6.9331 2023-12-29 21:01:18,822 - pyskl - INFO - Epoch [17][700/3746] lr: 9.715e-02, eta: 3 days, 17:12:37, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5036, loss_cls: 6.9842, loss: 6.9842 2023-12-29 21:02:19,544 - pyskl - INFO - Epoch [17][800/3746] lr: 9.714e-02, eta: 3 days, 17:11:05, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4903, loss_cls: 7.0734, loss: 7.0734 2023-12-29 21:03:20,279 - pyskl - INFO - Epoch [17][900/3746] lr: 9.714e-02, eta: 3 days, 17:09:34, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5075, loss_cls: 7.0002, loss: 7.0002 2023-12-29 21:04:20,841 - pyskl - INFO - Epoch [17][1000/3746] lr: 9.713e-02, eta: 3 days, 17:08:01, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.5041, loss_cls: 7.0011, loss: 7.0011 2023-12-29 21:05:21,353 - pyskl - INFO - Epoch [17][1100/3746] lr: 9.712e-02, eta: 3 days, 17:06:28, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5078, loss_cls: 6.9922, loss: 6.9922 2023-12-29 21:06:22,154 - pyskl - INFO - Epoch [17][1200/3746] lr: 9.711e-02, eta: 3 days, 17:04:57, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5059, loss_cls: 7.0172, loss: 7.0172 2023-12-29 21:07:22,515 - pyskl - INFO - Epoch [17][1300/3746] lr: 9.710e-02, eta: 3 days, 17:03:23, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5144, loss_cls: 6.9852, loss: 6.9852 2023-12-29 21:08:22,941 - pyskl - INFO - Epoch [17][1400/3746] lr: 9.709e-02, eta: 3 days, 17:01:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.4988, loss_cls: 7.0083, loss: 7.0083 2023-12-29 21:09:23,302 - pyskl - INFO - Epoch [17][1500/3746] lr: 9.708e-02, eta: 3 days, 17:00:16, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2628, top5_acc: 0.5108, loss_cls: 6.9892, loss: 6.9892 2023-12-29 21:10:23,663 - pyskl - INFO - Epoch [17][1600/3746] lr: 9.707e-02, eta: 3 days, 16:58:42, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5173, loss_cls: 6.9854, loss: 6.9854 2023-12-29 21:11:24,200 - pyskl - INFO - Epoch [17][1700/3746] lr: 9.706e-02, eta: 3 days, 16:57:09, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5028, loss_cls: 7.0021, loss: 7.0021 2023-12-29 21:12:24,711 - pyskl - INFO - Epoch [17][1800/3746] lr: 9.705e-02, eta: 3 days, 16:55:37, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5128, loss_cls: 6.9900, loss: 6.9900 2023-12-29 21:13:24,875 - pyskl - INFO - Epoch [17][1900/3746] lr: 9.704e-02, eta: 3 days, 16:54:02, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5047, loss_cls: 6.9854, loss: 6.9854 2023-12-29 21:14:25,537 - pyskl - INFO - Epoch [17][2000/3746] lr: 9.703e-02, eta: 3 days, 16:52:31, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5084, loss_cls: 7.0239, loss: 7.0239 2023-12-29 21:15:26,037 - pyskl - INFO - Epoch [17][2100/3746] lr: 9.702e-02, eta: 3 days, 16:50:59, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5048, loss_cls: 7.0330, loss: 7.0330 2023-12-29 21:16:26,464 - pyskl - INFO - Epoch [17][2200/3746] lr: 9.701e-02, eta: 3 days, 16:49:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5184, loss_cls: 6.9847, loss: 6.9847 2023-12-29 21:17:27,160 - pyskl - INFO - Epoch [17][2300/3746] lr: 9.700e-02, eta: 3 days, 16:47:56, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5134, loss_cls: 7.0098, loss: 7.0098 2023-12-29 21:18:27,875 - pyskl - INFO - Epoch [17][2400/3746] lr: 9.699e-02, eta: 3 days, 16:46:26, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4988, loss_cls: 7.0356, loss: 7.0356 2023-12-29 21:19:28,496 - pyskl - INFO - Epoch [17][2500/3746] lr: 9.698e-02, eta: 3 days, 16:44:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5027, loss_cls: 7.0190, loss: 7.0190 2023-12-29 21:20:29,175 - pyskl - INFO - Epoch [17][2600/3746] lr: 9.697e-02, eta: 3 days, 16:43:25, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5123, loss_cls: 6.9999, loss: 6.9999 2023-12-29 21:21:29,708 - pyskl - INFO - Epoch [17][2700/3746] lr: 9.697e-02, eta: 3 days, 16:41:53, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.5061, loss_cls: 7.0198, loss: 7.0198 2023-12-29 21:22:29,993 - pyskl - INFO - Epoch [17][2800/3746] lr: 9.696e-02, eta: 3 days, 16:40:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5100, loss_cls: 6.9920, loss: 6.9920 2023-12-29 21:23:30,537 - pyskl - INFO - Epoch [17][2900/3746] lr: 9.695e-02, eta: 3 days, 16:38:49, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5023, loss_cls: 6.9843, loss: 6.9843 2023-12-29 21:24:31,405 - pyskl - INFO - Epoch [17][3000/3746] lr: 9.694e-02, eta: 3 days, 16:37:21, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5009, loss_cls: 7.0182, loss: 7.0182 2023-12-29 21:25:32,815 - pyskl - INFO - Epoch [17][3100/3746] lr: 9.693e-02, eta: 3 days, 16:35:57, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5077, loss_cls: 6.9864, loss: 6.9864 2023-12-29 21:26:34,133 - pyskl - INFO - Epoch [17][3200/3746] lr: 9.692e-02, eta: 3 days, 16:34:32, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.4956, loss_cls: 7.0425, loss: 7.0425 2023-12-29 21:27:35,597 - pyskl - INFO - Epoch [17][3300/3746] lr: 9.691e-02, eta: 3 days, 16:33:09, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5148, loss_cls: 6.9714, loss: 6.9714 2023-12-29 21:28:36,752 - pyskl - INFO - Epoch [17][3400/3746] lr: 9.690e-02, eta: 3 days, 16:31:43, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2441, top5_acc: 0.5002, loss_cls: 7.0520, loss: 7.0520 2023-12-29 21:29:37,787 - pyskl - INFO - Epoch [17][3500/3746] lr: 9.689e-02, eta: 3 days, 16:30:16, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5020, loss_cls: 7.0108, loss: 7.0108 2023-12-29 21:30:38,868 - pyskl - INFO - Epoch [17][3600/3746] lr: 9.688e-02, eta: 3 days, 16:28:50, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2441, top5_acc: 0.4897, loss_cls: 7.0895, loss: 7.0895 2023-12-29 21:31:39,332 - pyskl - INFO - Epoch [17][3700/3746] lr: 9.687e-02, eta: 3 days, 16:27:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5048, loss_cls: 7.0144, loss: 7.0144 2023-12-29 21:32:09,195 - pyskl - INFO - Saving checkpoint at 17 epochs 2023-12-29 21:34:07,322 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 21:34:08,132 - pyskl - INFO - top1_acc 0.1606 top5_acc 0.3826 2023-12-29 21:34:08,132 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 21:34:08,163 - pyskl - INFO - mean_acc 0.1605 2023-12-29 21:34:08,170 - pyskl - INFO - Epoch(val) [17][309] top1_acc: 0.1606, top5_acc: 0.3826, mean_class_accuracy: 0.1605 2023-12-29 21:37:22,800 - pyskl - INFO - Epoch [18][100/3746] lr: 9.685e-02, eta: 3 days, 16:38:57, time: 1.946, data_time: 1.356, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5158, loss_cls: 6.9443, loss: 6.9443 2023-12-29 21:38:22,613 - pyskl - INFO - Epoch [18][200/3746] lr: 9.684e-02, eta: 3 days, 16:37:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5142, loss_cls: 6.9632, loss: 6.9632 2023-12-29 21:39:22,942 - pyskl - INFO - Epoch [18][300/3746] lr: 9.683e-02, eta: 3 days, 16:35:47, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5119, loss_cls: 6.9826, loss: 6.9826 2023-12-29 21:40:23,411 - pyskl - INFO - Epoch [18][400/3746] lr: 9.683e-02, eta: 3 days, 16:34:15, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5006, loss_cls: 6.9991, loss: 6.9991 2023-12-29 21:41:24,715 - pyskl - INFO - Epoch [18][500/3746] lr: 9.682e-02, eta: 3 days, 16:32:49, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5062, loss_cls: 6.9856, loss: 6.9856 2023-12-29 21:42:25,072 - pyskl - INFO - Epoch [18][600/3746] lr: 9.681e-02, eta: 3 days, 16:31:17, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5102, loss_cls: 6.9742, loss: 6.9742 2023-12-29 21:43:25,459 - pyskl - INFO - Epoch [18][700/3746] lr: 9.680e-02, eta: 3 days, 16:29:45, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5031, loss_cls: 7.0083, loss: 7.0083 2023-12-29 21:44:25,995 - pyskl - INFO - Epoch [18][800/3746] lr: 9.679e-02, eta: 3 days, 16:28:14, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.4995, loss_cls: 7.0218, loss: 7.0218 2023-12-29 21:45:26,381 - pyskl - INFO - Epoch [18][900/3746] lr: 9.678e-02, eta: 3 days, 16:26:41, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5133, loss_cls: 6.9835, loss: 6.9835 2023-12-29 21:46:26,712 - pyskl - INFO - Epoch [18][1000/3746] lr: 9.677e-02, eta: 3 days, 16:25:09, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5036, loss_cls: 6.9862, loss: 6.9862 2023-12-29 21:47:27,029 - pyskl - INFO - Epoch [18][1100/3746] lr: 9.676e-02, eta: 3 days, 16:23:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5053, loss_cls: 6.9869, loss: 6.9869 2023-12-29 21:48:27,491 - pyskl - INFO - Epoch [18][1200/3746] lr: 9.675e-02, eta: 3 days, 16:22:05, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5120, loss_cls: 6.9971, loss: 6.9971 2023-12-29 21:49:28,473 - pyskl - INFO - Epoch [18][1300/3746] lr: 9.674e-02, eta: 3 days, 16:20:38, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2584, top5_acc: 0.5134, loss_cls: 6.9853, loss: 6.9853 2023-12-29 21:50:29,191 - pyskl - INFO - Epoch [18][1400/3746] lr: 9.673e-02, eta: 3 days, 16:19:09, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5055, loss_cls: 7.0025, loss: 7.0025 2023-12-29 21:51:30,150 - pyskl - INFO - Epoch [18][1500/3746] lr: 9.672e-02, eta: 3 days, 16:17:42, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5055, loss_cls: 7.0269, loss: 7.0269 2023-12-29 21:52:31,079 - pyskl - INFO - Epoch [18][1600/3746] lr: 9.671e-02, eta: 3 days, 16:16:15, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5173, loss_cls: 6.9336, loss: 6.9336 2023-12-29 21:53:31,429 - pyskl - INFO - Epoch [18][1700/3746] lr: 9.670e-02, eta: 3 days, 16:14:43, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5033, loss_cls: 7.0284, loss: 7.0284 2023-12-29 21:54:31,817 - pyskl - INFO - Epoch [18][1800/3746] lr: 9.669e-02, eta: 3 days, 16:13:12, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.4975, loss_cls: 7.0148, loss: 7.0148 2023-12-29 21:55:32,096 - pyskl - INFO - Epoch [18][1900/3746] lr: 9.668e-02, eta: 3 days, 16:11:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.5028, loss_cls: 7.0350, loss: 7.0350 2023-12-29 21:56:32,728 - pyskl - INFO - Epoch [18][2000/3746] lr: 9.667e-02, eta: 3 days, 16:10:11, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.5038, loss_cls: 7.0139, loss: 7.0139 2023-12-29 21:57:33,189 - pyskl - INFO - Epoch [18][2100/3746] lr: 9.666e-02, eta: 3 days, 16:08:40, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5084, loss_cls: 6.9809, loss: 6.9809 2023-12-29 21:58:33,599 - pyskl - INFO - Epoch [18][2200/3746] lr: 9.665e-02, eta: 3 days, 16:07:10, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5038, loss_cls: 7.0212, loss: 7.0212 2023-12-29 21:59:34,270 - pyskl - INFO - Epoch [18][2300/3746] lr: 9.664e-02, eta: 3 days, 16:05:41, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.4994, loss_cls: 7.0173, loss: 7.0173 2023-12-29 22:00:34,859 - pyskl - INFO - Epoch [18][2400/3746] lr: 9.663e-02, eta: 3 days, 16:04:12, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5097, loss_cls: 6.9818, loss: 6.9818 2023-12-29 22:01:35,398 - pyskl - INFO - Epoch [18][2500/3746] lr: 9.662e-02, eta: 3 days, 16:02:42, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5103, loss_cls: 7.0314, loss: 7.0314 2023-12-29 22:02:36,113 - pyskl - INFO - Epoch [18][2600/3746] lr: 9.661e-02, eta: 3 days, 16:01:14, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5022, loss_cls: 7.0230, loss: 7.0230 2023-12-29 22:03:37,183 - pyskl - INFO - Epoch [18][2700/3746] lr: 9.660e-02, eta: 3 days, 15:59:49, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5134, loss_cls: 6.9766, loss: 6.9766 2023-12-29 22:04:38,384 - pyskl - INFO - Epoch [18][2800/3746] lr: 9.659e-02, eta: 3 days, 15:58:25, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5102, loss_cls: 6.9801, loss: 6.9801 2023-12-29 22:05:39,140 - pyskl - INFO - Epoch [18][2900/3746] lr: 9.658e-02, eta: 3 days, 15:56:57, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5028, loss_cls: 7.0236, loss: 7.0236 2023-12-29 22:06:39,719 - pyskl - INFO - Epoch [18][3000/3746] lr: 9.657e-02, eta: 3 days, 15:55:28, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5077, loss_cls: 6.9828, loss: 6.9828 2023-12-29 22:07:40,982 - pyskl - INFO - Epoch [18][3100/3746] lr: 9.656e-02, eta: 3 days, 15:54:05, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.4981, loss_cls: 7.0128, loss: 7.0128 2023-12-29 22:08:42,657 - pyskl - INFO - Epoch [18][3200/3746] lr: 9.654e-02, eta: 3 days, 15:52:44, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5011, loss_cls: 7.0168, loss: 7.0168 2023-12-29 22:09:43,673 - pyskl - INFO - Epoch [18][3300/3746] lr: 9.653e-02, eta: 3 days, 15:51:19, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4984, loss_cls: 7.0811, loss: 7.0811 2023-12-29 22:10:44,209 - pyskl - INFO - Epoch [18][3400/3746] lr: 9.652e-02, eta: 3 days, 15:49:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5027, loss_cls: 7.0077, loss: 7.0077 2023-12-29 22:11:44,931 - pyskl - INFO - Epoch [18][3500/3746] lr: 9.651e-02, eta: 3 days, 15:48:23, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5055, loss_cls: 6.9700, loss: 6.9700 2023-12-29 22:12:45,527 - pyskl - INFO - Epoch [18][3600/3746] lr: 9.650e-02, eta: 3 days, 15:46:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5066, loss_cls: 7.0000, loss: 7.0000 2023-12-29 22:13:45,875 - pyskl - INFO - Epoch [18][3700/3746] lr: 9.649e-02, eta: 3 days, 15:45:25, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5002, loss_cls: 7.0198, loss: 7.0198 2023-12-29 22:14:16,296 - pyskl - INFO - Saving checkpoint at 18 epochs 2023-12-29 22:16:13,696 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 22:16:14,562 - pyskl - INFO - top1_acc 0.1978 top5_acc 0.4214 2023-12-29 22:16:14,563 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 22:16:14,604 - pyskl - INFO - mean_acc 0.1978 2023-12-29 22:16:14,615 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_13.pth was removed 2023-12-29 22:16:14,848 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. 2023-12-29 22:16:14,848 - pyskl - INFO - Best top1_acc is 0.1978 at 18 epoch. 2023-12-29 22:16:14,855 - pyskl - INFO - Epoch(val) [18][309] top1_acc: 0.1978, top5_acc: 0.4214, mean_class_accuracy: 0.1978 2023-12-29 22:19:31,456 - pyskl - INFO - Epoch [19][100/3746] lr: 9.648e-02, eta: 3 days, 15:56:28, time: 1.966, data_time: 1.373, memory: 16177, top1_acc: 0.2731, top5_acc: 0.5177, loss_cls: 6.9424, loss: 6.9424 2023-12-29 22:20:31,235 - pyskl - INFO - Epoch [19][200/3746] lr: 9.647e-02, eta: 3 days, 15:54:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5303, loss_cls: 6.8857, loss: 6.8857 2023-12-29 22:21:31,157 - pyskl - INFO - Epoch [19][300/3746] lr: 9.646e-02, eta: 3 days, 15:53:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5148, loss_cls: 6.9594, loss: 6.9594 2023-12-29 22:22:31,565 - pyskl - INFO - Epoch [19][400/3746] lr: 9.645e-02, eta: 3 days, 15:51:48, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5116, loss_cls: 6.9545, loss: 6.9545 2023-12-29 22:23:31,869 - pyskl - INFO - Epoch [19][500/3746] lr: 9.644e-02, eta: 3 days, 15:50:17, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.5011, loss_cls: 7.0500, loss: 7.0500 2023-12-29 22:24:32,329 - pyskl - INFO - Epoch [19][600/3746] lr: 9.643e-02, eta: 3 days, 15:48:47, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.4980, loss_cls: 7.0273, loss: 7.0273 2023-12-29 22:25:32,847 - pyskl - INFO - Epoch [19][700/3746] lr: 9.642e-02, eta: 3 days, 15:47:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5120, loss_cls: 7.0008, loss: 7.0008 2023-12-29 22:26:33,404 - pyskl - INFO - Epoch [19][800/3746] lr: 9.641e-02, eta: 3 days, 15:45:49, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5061, loss_cls: 7.0000, loss: 7.0000 2023-12-29 22:27:33,878 - pyskl - INFO - Epoch [19][900/3746] lr: 9.640e-02, eta: 3 days, 15:44:20, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5027, loss_cls: 7.0086, loss: 7.0086 2023-12-29 22:28:34,380 - pyskl - INFO - Epoch [19][1000/3746] lr: 9.639e-02, eta: 3 days, 15:42:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.5056, loss_cls: 7.0097, loss: 7.0097 2023-12-29 22:29:35,085 - pyskl - INFO - Epoch [19][1100/3746] lr: 9.637e-02, eta: 3 days, 15:41:23, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.5025, loss_cls: 7.0223, loss: 7.0223 2023-12-29 22:30:35,565 - pyskl - INFO - Epoch [19][1200/3746] lr: 9.636e-02, eta: 3 days, 15:39:54, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5183, loss_cls: 6.9579, loss: 6.9579 2023-12-29 22:31:36,037 - pyskl - INFO - Epoch [19][1300/3746] lr: 9.635e-02, eta: 3 days, 15:38:25, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.5070, loss_cls: 7.0052, loss: 7.0052 2023-12-29 22:32:36,549 - pyskl - INFO - Epoch [19][1400/3746] lr: 9.634e-02, eta: 3 days, 15:36:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5083, loss_cls: 7.0195, loss: 7.0195 2023-12-29 22:33:37,267 - pyskl - INFO - Epoch [19][1500/3746] lr: 9.633e-02, eta: 3 days, 15:35:28, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5153, loss_cls: 6.9649, loss: 6.9649 2023-12-29 22:34:37,921 - pyskl - INFO - Epoch [19][1600/3746] lr: 9.632e-02, eta: 3 days, 15:34:01, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4948, loss_cls: 7.0102, loss: 7.0102 2023-12-29 22:35:38,415 - pyskl - INFO - Epoch [19][1700/3746] lr: 9.631e-02, eta: 3 days, 15:32:32, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.4961, loss_cls: 7.0441, loss: 7.0441 2023-12-29 22:36:38,786 - pyskl - INFO - Epoch [19][1800/3746] lr: 9.630e-02, eta: 3 days, 15:31:03, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.5084, loss_cls: 7.0202, loss: 7.0202 2023-12-29 22:37:39,055 - pyskl - INFO - Epoch [19][1900/3746] lr: 9.629e-02, eta: 3 days, 15:29:33, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5105, loss_cls: 6.9844, loss: 6.9844 2023-12-29 22:38:39,651 - pyskl - INFO - Epoch [19][2000/3746] lr: 9.628e-02, eta: 3 days, 15:28:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2584, top5_acc: 0.5120, loss_cls: 6.9992, loss: 6.9992 2023-12-29 22:39:40,848 - pyskl - INFO - Epoch [19][2100/3746] lr: 9.627e-02, eta: 3 days, 15:26:42, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5077, loss_cls: 6.9874, loss: 6.9874 2023-12-29 22:40:42,106 - pyskl - INFO - Epoch [19][2200/3746] lr: 9.626e-02, eta: 3 days, 15:25:19, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5102, loss_cls: 6.9803, loss: 6.9803 2023-12-29 22:41:42,683 - pyskl - INFO - Epoch [19][2300/3746] lr: 9.625e-02, eta: 3 days, 15:23:51, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5123, loss_cls: 6.9727, loss: 6.9727 2023-12-29 22:42:43,063 - pyskl - INFO - Epoch [19][2400/3746] lr: 9.624e-02, eta: 3 days, 15:22:22, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5014, loss_cls: 6.9881, loss: 6.9881 2023-12-29 22:43:43,685 - pyskl - INFO - Epoch [19][2500/3746] lr: 9.623e-02, eta: 3 days, 15:20:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2497, top5_acc: 0.5025, loss_cls: 7.0265, loss: 7.0265 2023-12-29 22:44:44,597 - pyskl - INFO - Epoch [19][2600/3746] lr: 9.622e-02, eta: 3 days, 15:19:30, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.4983, loss_cls: 7.0484, loss: 7.0484 2023-12-29 22:45:45,608 - pyskl - INFO - Epoch [19][2700/3746] lr: 9.621e-02, eta: 3 days, 15:18:06, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.4900, loss_cls: 7.0756, loss: 7.0756 2023-12-29 22:46:46,565 - pyskl - INFO - Epoch [19][2800/3746] lr: 9.620e-02, eta: 3 days, 15:16:41, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5166, loss_cls: 6.9744, loss: 6.9744 2023-12-29 22:47:47,701 - pyskl - INFO - Epoch [19][2900/3746] lr: 9.618e-02, eta: 3 days, 15:15:18, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5081, loss_cls: 6.9831, loss: 6.9831 2023-12-29 22:48:48,991 - pyskl - INFO - Epoch [19][3000/3746] lr: 9.617e-02, eta: 3 days, 15:13:56, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5053, loss_cls: 7.0313, loss: 7.0313 2023-12-29 22:49:50,282 - pyskl - INFO - Epoch [19][3100/3746] lr: 9.616e-02, eta: 3 days, 15:12:34, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5070, loss_cls: 6.9638, loss: 6.9638 2023-12-29 22:50:51,455 - pyskl - INFO - Epoch [19][3200/3746] lr: 9.615e-02, eta: 3 days, 15:11:11, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5064, loss_cls: 7.0082, loss: 7.0082 2023-12-29 22:51:53,102 - pyskl - INFO - Epoch [19][3300/3746] lr: 9.614e-02, eta: 3 days, 15:09:51, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5130, loss_cls: 6.9798, loss: 6.9798 2023-12-29 22:52:53,606 - pyskl - INFO - Epoch [19][3400/3746] lr: 9.613e-02, eta: 3 days, 15:08:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5008, loss_cls: 6.9975, loss: 6.9975 2023-12-29 22:53:54,634 - pyskl - INFO - Epoch [19][3500/3746] lr: 9.612e-02, eta: 3 days, 15:07:00, time: 0.610, data_time: 0.001, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5091, loss_cls: 7.0007, loss: 7.0007 2023-12-29 22:54:55,033 - pyskl - INFO - Epoch [19][3600/3746] lr: 9.611e-02, eta: 3 days, 15:05:32, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5039, loss_cls: 7.0037, loss: 7.0037 2023-12-29 22:55:54,997 - pyskl - INFO - Epoch [19][3700/3746] lr: 9.610e-02, eta: 3 days, 15:04:02, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5080, loss_cls: 7.0055, loss: 7.0055 2023-12-29 22:56:25,497 - pyskl - INFO - Saving checkpoint at 19 epochs 2023-12-29 22:58:24,301 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 22:58:25,351 - pyskl - INFO - top1_acc 0.1857 top5_acc 0.4097 2023-12-29 22:58:25,352 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 22:58:25,409 - pyskl - INFO - mean_acc 0.1857 2023-12-29 22:58:25,421 - pyskl - INFO - Epoch(val) [19][309] top1_acc: 0.1857, top5_acc: 0.4097, mean_class_accuracy: 0.1857 2023-12-29 23:01:49,435 - pyskl - INFO - Epoch [20][100/3746] lr: 9.608e-02, eta: 3 days, 15:15:11, time: 2.040, data_time: 1.446, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5092, loss_cls: 6.9839, loss: 6.9839 2023-12-29 23:02:49,613 - pyskl - INFO - Epoch [20][200/3746] lr: 9.607e-02, eta: 3 days, 15:13:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5152, loss_cls: 6.9789, loss: 6.9789 2023-12-29 23:03:49,718 - pyskl - INFO - Epoch [20][300/3746] lr: 9.606e-02, eta: 3 days, 15:12:09, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5161, loss_cls: 6.9380, loss: 6.9380 2023-12-29 23:04:50,042 - pyskl - INFO - Epoch [20][400/3746] lr: 9.605e-02, eta: 3 days, 15:10:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5041, loss_cls: 7.0174, loss: 7.0174 2023-12-29 23:05:50,530 - pyskl - INFO - Epoch [20][500/3746] lr: 9.604e-02, eta: 3 days, 15:09:12, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5152, loss_cls: 6.9509, loss: 6.9509 2023-12-29 23:06:50,883 - pyskl - INFO - Epoch [20][600/3746] lr: 9.603e-02, eta: 3 days, 15:07:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5142, loss_cls: 6.9449, loss: 6.9449 2023-12-29 23:07:51,261 - pyskl - INFO - Epoch [20][700/3746] lr: 9.602e-02, eta: 3 days, 15:06:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5145, loss_cls: 6.9709, loss: 6.9709 2023-12-29 23:08:52,157 - pyskl - INFO - Epoch [20][800/3746] lr: 9.601e-02, eta: 3 days, 15:04:49, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5098, loss_cls: 6.9834, loss: 6.9834 2023-12-29 23:09:53,370 - pyskl - INFO - Epoch [20][900/3746] lr: 9.600e-02, eta: 3 days, 15:03:27, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5120, loss_cls: 6.9772, loss: 6.9772 2023-12-29 23:10:54,387 - pyskl - INFO - Epoch [20][1000/3746] lr: 9.598e-02, eta: 3 days, 15:02:02, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5064, loss_cls: 7.0030, loss: 7.0030 2023-12-29 23:11:55,019 - pyskl - INFO - Epoch [20][1100/3746] lr: 9.597e-02, eta: 3 days, 15:00:36, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5086, loss_cls: 6.9927, loss: 6.9927 2023-12-29 23:12:55,377 - pyskl - INFO - Epoch [20][1200/3746] lr: 9.596e-02, eta: 3 days, 14:59:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5072, loss_cls: 6.9781, loss: 6.9781 2023-12-29 23:13:55,997 - pyskl - INFO - Epoch [20][1300/3746] lr: 9.595e-02, eta: 3 days, 14:57:41, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5053, loss_cls: 7.0176, loss: 7.0176 2023-12-29 23:14:56,449 - pyskl - INFO - Epoch [20][1400/3746] lr: 9.594e-02, eta: 3 days, 14:56:13, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5008, loss_cls: 6.9891, loss: 6.9891 2023-12-29 23:15:56,978 - pyskl - INFO - Epoch [20][1500/3746] lr: 9.593e-02, eta: 3 days, 14:54:46, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.4978, loss_cls: 7.0235, loss: 7.0235 2023-12-29 23:16:57,940 - pyskl - INFO - Epoch [20][1600/3746] lr: 9.592e-02, eta: 3 days, 14:53:22, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5112, loss_cls: 6.9680, loss: 6.9680 2023-12-29 23:17:58,479 - pyskl - INFO - Epoch [20][1700/3746] lr: 9.591e-02, eta: 3 days, 14:51:55, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5131, loss_cls: 6.9999, loss: 6.9999 2023-12-29 23:18:59,563 - pyskl - INFO - Epoch [20][1800/3746] lr: 9.590e-02, eta: 3 days, 14:50:32, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5091, loss_cls: 6.9662, loss: 6.9662 2023-12-29 23:20:00,691 - pyskl - INFO - Epoch [20][1900/3746] lr: 9.588e-02, eta: 3 days, 14:49:09, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5080, loss_cls: 6.9823, loss: 6.9823 2023-12-29 23:21:01,444 - pyskl - INFO - Epoch [20][2000/3746] lr: 9.587e-02, eta: 3 days, 14:47:44, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.5116, loss_cls: 7.0116, loss: 7.0116 2023-12-29 23:22:02,336 - pyskl - INFO - Epoch [20][2100/3746] lr: 9.586e-02, eta: 3 days, 14:46:20, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.4970, loss_cls: 7.0308, loss: 7.0308 2023-12-29 23:23:03,845 - pyskl - INFO - Epoch [20][2200/3746] lr: 9.585e-02, eta: 3 days, 14:45:00, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5130, loss_cls: 6.9821, loss: 6.9821 2023-12-29 23:24:04,399 - pyskl - INFO - Epoch [20][2300/3746] lr: 9.584e-02, eta: 3 days, 14:43:33, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5022, loss_cls: 7.0159, loss: 7.0159 2023-12-29 23:25:05,299 - pyskl - INFO - Epoch [20][2400/3746] lr: 9.583e-02, eta: 3 days, 14:42:09, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5002, loss_cls: 7.0278, loss: 7.0278 2023-12-29 23:26:05,809 - pyskl - INFO - Epoch [20][2500/3746] lr: 9.582e-02, eta: 3 days, 14:40:43, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5164, loss_cls: 6.9580, loss: 6.9580 2023-12-29 23:27:06,206 - pyskl - INFO - Epoch [20][2600/3746] lr: 9.581e-02, eta: 3 days, 14:39:16, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5070, loss_cls: 6.9910, loss: 6.9910 2023-12-29 23:28:06,826 - pyskl - INFO - Epoch [20][2700/3746] lr: 9.580e-02, eta: 3 days, 14:37:50, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5091, loss_cls: 6.9937, loss: 6.9937 2023-12-29 23:29:07,890 - pyskl - INFO - Epoch [20][2800/3746] lr: 9.578e-02, eta: 3 days, 14:36:27, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5098, loss_cls: 6.9852, loss: 6.9852 2023-12-29 23:30:09,011 - pyskl - INFO - Epoch [20][2900/3746] lr: 9.577e-02, eta: 3 days, 14:35:05, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5097, loss_cls: 6.9674, loss: 6.9674 2023-12-29 23:31:10,385 - pyskl - INFO - Epoch [20][3000/3746] lr: 9.576e-02, eta: 3 days, 14:33:45, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5109, loss_cls: 6.9998, loss: 6.9998 2023-12-29 23:32:11,275 - pyskl - INFO - Epoch [20][3100/3746] lr: 9.575e-02, eta: 3 days, 14:32:21, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5114, loss_cls: 6.9829, loss: 6.9829 2023-12-29 23:33:12,499 - pyskl - INFO - Epoch [20][3200/3746] lr: 9.574e-02, eta: 3 days, 14:31:00, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5134, loss_cls: 6.9850, loss: 6.9850 2023-12-29 23:34:13,000 - pyskl - INFO - Epoch [20][3300/3746] lr: 9.573e-02, eta: 3 days, 14:29:34, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5106, loss_cls: 6.9514, loss: 6.9514 2023-12-29 23:35:13,778 - pyskl - INFO - Epoch [20][3400/3746] lr: 9.572e-02, eta: 3 days, 14:28:09, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5100, loss_cls: 6.9881, loss: 6.9881 2023-12-29 23:36:14,011 - pyskl - INFO - Epoch [20][3500/3746] lr: 9.571e-02, eta: 3 days, 14:26:42, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5092, loss_cls: 6.9612, loss: 6.9612 2023-12-29 23:37:14,014 - pyskl - INFO - Epoch [20][3600/3746] lr: 9.569e-02, eta: 3 days, 14:25:13, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.4994, loss_cls: 7.0175, loss: 7.0175 2023-12-29 23:38:14,152 - pyskl - INFO - Epoch [20][3700/3746] lr: 9.568e-02, eta: 3 days, 14:23:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5084, loss_cls: 7.0072, loss: 7.0072 2023-12-29 23:38:44,729 - pyskl - INFO - Saving checkpoint at 20 epochs 2023-12-29 23:40:40,544 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 23:40:41,346 - pyskl - INFO - top1_acc 0.1788 top5_acc 0.4037 2023-12-29 23:40:41,346 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 23:40:41,381 - pyskl - INFO - mean_acc 0.1787 2023-12-29 23:40:41,390 - pyskl - INFO - Epoch(val) [20][309] top1_acc: 0.1788, top5_acc: 0.4037, mean_class_accuracy: 0.1787 2023-12-29 23:43:57,169 - pyskl - INFO - Epoch [21][100/3746] lr: 9.567e-02, eta: 3 days, 14:33:17, time: 1.958, data_time: 1.366, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5122, loss_cls: 6.9442, loss: 6.9442 2023-12-29 23:44:56,811 - pyskl - INFO - Epoch [21][200/3746] lr: 9.565e-02, eta: 3 days, 14:31:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2584, top5_acc: 0.5112, loss_cls: 6.9880, loss: 6.9880 2023-12-29 23:45:57,018 - pyskl - INFO - Epoch [21][300/3746] lr: 9.564e-02, eta: 3 days, 14:30:16, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5184, loss_cls: 6.9297, loss: 6.9297 2023-12-29 23:46:57,642 - pyskl - INFO - Epoch [21][400/3746] lr: 9.563e-02, eta: 3 days, 14:28:50, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5069, loss_cls: 6.9946, loss: 6.9946 2023-12-29 23:47:58,186 - pyskl - INFO - Epoch [21][500/3746] lr: 9.562e-02, eta: 3 days, 14:27:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5005, loss_cls: 7.0291, loss: 7.0291 2023-12-29 23:48:58,743 - pyskl - INFO - Epoch [21][600/3746] lr: 9.561e-02, eta: 3 days, 14:25:58, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5069, loss_cls: 6.9879, loss: 6.9879 2023-12-29 23:49:59,220 - pyskl - INFO - Epoch [21][700/3746] lr: 9.560e-02, eta: 3 days, 14:24:32, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5108, loss_cls: 7.0016, loss: 7.0016 2023-12-29 23:50:59,980 - pyskl - INFO - Epoch [21][800/3746] lr: 9.559e-02, eta: 3 days, 14:23:07, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5058, loss_cls: 6.9980, loss: 6.9980 2023-12-29 23:52:00,704 - pyskl - INFO - Epoch [21][900/3746] lr: 9.557e-02, eta: 3 days, 14:21:42, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5109, loss_cls: 6.9581, loss: 6.9581 2023-12-29 23:53:01,464 - pyskl - INFO - Epoch [21][1000/3746] lr: 9.556e-02, eta: 3 days, 14:20:18, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5094, loss_cls: 6.9706, loss: 6.9706 2023-12-29 23:54:01,798 - pyskl - INFO - Epoch [21][1100/3746] lr: 9.555e-02, eta: 3 days, 14:18:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5116, loss_cls: 6.9634, loss: 6.9634 2023-12-29 23:55:02,471 - pyskl - INFO - Epoch [21][1200/3746] lr: 9.554e-02, eta: 3 days, 14:17:26, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5125, loss_cls: 6.9741, loss: 6.9741 2023-12-29 23:56:02,853 - pyskl - INFO - Epoch [21][1300/3746] lr: 9.553e-02, eta: 3 days, 14:15:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5122, loss_cls: 6.9574, loss: 6.9574 2023-12-29 23:57:03,490 - pyskl - INFO - Epoch [21][1400/3746] lr: 9.552e-02, eta: 3 days, 14:14:34, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5070, loss_cls: 6.9880, loss: 6.9880 2023-12-29 23:58:04,644 - pyskl - INFO - Epoch [21][1500/3746] lr: 9.551e-02, eta: 3 days, 14:13:13, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5027, loss_cls: 7.0017, loss: 7.0017 2023-12-29 23:59:05,662 - pyskl - INFO - Epoch [21][1600/3746] lr: 9.549e-02, eta: 3 days, 14:11:50, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5150, loss_cls: 6.9718, loss: 6.9718 2023-12-30 00:00:06,219 - pyskl - INFO - Epoch [21][1700/3746] lr: 9.548e-02, eta: 3 days, 14:10:25, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5092, loss_cls: 6.9986, loss: 6.9986 2023-12-30 00:01:06,538 - pyskl - INFO - Epoch [21][1800/3746] lr: 9.547e-02, eta: 3 days, 14:08:58, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5044, loss_cls: 6.9991, loss: 6.9991 2023-12-30 00:02:06,688 - pyskl - INFO - Epoch [21][1900/3746] lr: 9.546e-02, eta: 3 days, 14:07:30, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5031, loss_cls: 6.9981, loss: 6.9981 2023-12-30 00:03:06,859 - pyskl - INFO - Epoch [21][2000/3746] lr: 9.545e-02, eta: 3 days, 14:06:03, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5200, loss_cls: 6.9398, loss: 6.9398 2023-12-30 00:04:07,238 - pyskl - INFO - Epoch [21][2100/3746] lr: 9.544e-02, eta: 3 days, 14:04:37, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5077, loss_cls: 6.9997, loss: 6.9997 2023-12-30 00:05:07,500 - pyskl - INFO - Epoch [21][2200/3746] lr: 9.542e-02, eta: 3 days, 14:03:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5136, loss_cls: 6.9688, loss: 6.9688 2023-12-30 00:06:08,001 - pyskl - INFO - Epoch [21][2300/3746] lr: 9.541e-02, eta: 3 days, 14:01:44, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5067, loss_cls: 7.0064, loss: 7.0064 2023-12-30 00:07:08,425 - pyskl - INFO - Epoch [21][2400/3746] lr: 9.540e-02, eta: 3 days, 14:00:19, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5172, loss_cls: 6.9441, loss: 6.9441 2023-12-30 00:08:08,996 - pyskl - INFO - Epoch [21][2500/3746] lr: 9.539e-02, eta: 3 days, 13:58:54, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5155, loss_cls: 6.9782, loss: 6.9782 2023-12-30 00:09:09,341 - pyskl - INFO - Epoch [21][2600/3746] lr: 9.538e-02, eta: 3 days, 13:57:28, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5098, loss_cls: 6.9628, loss: 6.9628 2023-12-30 00:10:09,612 - pyskl - INFO - Epoch [21][2700/3746] lr: 9.537e-02, eta: 3 days, 13:56:02, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2494, top5_acc: 0.5069, loss_cls: 7.0161, loss: 7.0161 2023-12-30 00:11:10,161 - pyskl - INFO - Epoch [21][2800/3746] lr: 9.535e-02, eta: 3 days, 13:54:37, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5178, loss_cls: 6.9438, loss: 6.9438 2023-12-30 00:12:11,453 - pyskl - INFO - Epoch [21][2900/3746] lr: 9.534e-02, eta: 3 days, 13:53:17, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4955, loss_cls: 7.0636, loss: 7.0636 2023-12-30 00:13:13,622 - pyskl - INFO - Epoch [21][3000/3746] lr: 9.533e-02, eta: 3 days, 13:52:03, time: 0.622, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.4947, loss_cls: 7.0277, loss: 7.0277 2023-12-30 00:14:14,647 - pyskl - INFO - Epoch [21][3100/3746] lr: 9.532e-02, eta: 3 days, 13:50:41, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5036, loss_cls: 7.0259, loss: 7.0259 2023-12-30 00:15:15,509 - pyskl - INFO - Epoch [21][3200/3746] lr: 9.531e-02, eta: 3 days, 13:49:19, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5084, loss_cls: 6.9662, loss: 6.9662 2023-12-30 00:16:15,916 - pyskl - INFO - Epoch [21][3300/3746] lr: 9.529e-02, eta: 3 days, 13:47:53, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5205, loss_cls: 6.9465, loss: 6.9465 2023-12-30 00:17:16,683 - pyskl - INFO - Epoch [21][3400/3746] lr: 9.528e-02, eta: 3 days, 13:46:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5100, loss_cls: 6.9668, loss: 6.9668 2023-12-30 00:18:17,103 - pyskl - INFO - Epoch [21][3500/3746] lr: 9.527e-02, eta: 3 days, 13:45:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.5067, loss_cls: 7.0429, loss: 7.0429 2023-12-30 00:19:17,259 - pyskl - INFO - Epoch [21][3600/3746] lr: 9.526e-02, eta: 3 days, 13:43:39, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5120, loss_cls: 6.9907, loss: 6.9907 2023-12-30 00:20:17,537 - pyskl - INFO - Epoch [21][3700/3746] lr: 9.525e-02, eta: 3 days, 13:42:13, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5127, loss_cls: 6.9777, loss: 6.9777 2023-12-30 00:20:47,984 - pyskl - INFO - Saving checkpoint at 21 epochs 2023-12-30 00:22:43,463 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 00:22:44,371 - pyskl - INFO - top1_acc 0.1521 top5_acc 0.3453 2023-12-30 00:22:44,371 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 00:22:44,404 - pyskl - INFO - mean_acc 0.1520 2023-12-30 00:22:44,412 - pyskl - INFO - Epoch(val) [21][309] top1_acc: 0.1521, top5_acc: 0.3453, mean_class_accuracy: 0.1520 2023-12-30 00:26:02,712 - pyskl - INFO - Epoch [22][100/3746] lr: 9.523e-02, eta: 3 days, 13:51:24, time: 1.983, data_time: 1.387, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5150, loss_cls: 6.9406, loss: 6.9406 2023-12-30 00:27:02,674 - pyskl - INFO - Epoch [22][200/3746] lr: 9.522e-02, eta: 3 days, 13:49:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5166, loss_cls: 6.9731, loss: 6.9731 2023-12-30 00:28:02,871 - pyskl - INFO - Epoch [22][300/3746] lr: 9.521e-02, eta: 3 days, 13:48:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5194, loss_cls: 6.9552, loss: 6.9552 2023-12-30 00:29:03,236 - pyskl - INFO - Epoch [22][400/3746] lr: 9.519e-02, eta: 3 days, 13:47:03, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5178, loss_cls: 6.9513, loss: 6.9513 2023-12-30 00:30:03,875 - pyskl - INFO - Epoch [22][500/3746] lr: 9.518e-02, eta: 3 days, 13:45:38, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5166, loss_cls: 6.9414, loss: 6.9414 2023-12-30 00:31:04,163 - pyskl - INFO - Epoch [22][600/3746] lr: 9.517e-02, eta: 3 days, 13:44:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5055, loss_cls: 6.9912, loss: 6.9912 2023-12-30 00:32:04,588 - pyskl - INFO - Epoch [22][700/3746] lr: 9.516e-02, eta: 3 days, 13:42:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5161, loss_cls: 6.9704, loss: 6.9704 2023-12-30 00:33:05,184 - pyskl - INFO - Epoch [22][800/3746] lr: 9.515e-02, eta: 3 days, 13:41:22, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.5059, loss_cls: 6.9726, loss: 6.9726 2023-12-30 00:34:06,114 - pyskl - INFO - Epoch [22][900/3746] lr: 9.513e-02, eta: 3 days, 13:40:00, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5231, loss_cls: 6.9153, loss: 6.9153 2023-12-30 00:35:06,547 - pyskl - INFO - Epoch [22][1000/3746] lr: 9.512e-02, eta: 3 days, 13:38:35, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5092, loss_cls: 6.9717, loss: 6.9717 2023-12-30 00:36:07,401 - pyskl - INFO - Epoch [22][1100/3746] lr: 9.511e-02, eta: 3 days, 13:37:12, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5222, loss_cls: 6.9593, loss: 6.9593 2023-12-30 00:37:08,518 - pyskl - INFO - Epoch [22][1200/3746] lr: 9.510e-02, eta: 3 days, 13:35:52, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5052, loss_cls: 6.9599, loss: 6.9599 2023-12-30 00:38:08,933 - pyskl - INFO - Epoch [22][1300/3746] lr: 9.509e-02, eta: 3 days, 13:34:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5202, loss_cls: 6.9613, loss: 6.9613 2023-12-30 00:39:09,225 - pyskl - INFO - Epoch [22][1400/3746] lr: 9.507e-02, eta: 3 days, 13:33:01, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5058, loss_cls: 7.0052, loss: 7.0052 2023-12-30 00:40:09,653 - pyskl - INFO - Epoch [22][1500/3746] lr: 9.506e-02, eta: 3 days, 13:31:36, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5109, loss_cls: 7.0130, loss: 7.0130 2023-12-30 00:41:10,214 - pyskl - INFO - Epoch [22][1600/3746] lr: 9.505e-02, eta: 3 days, 13:30:12, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5125, loss_cls: 6.9635, loss: 6.9635 2023-12-30 00:42:10,788 - pyskl - INFO - Epoch [22][1700/3746] lr: 9.504e-02, eta: 3 days, 13:28:48, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5173, loss_cls: 6.9610, loss: 6.9610 2023-12-30 00:43:11,156 - pyskl - INFO - Epoch [22][1800/3746] lr: 9.502e-02, eta: 3 days, 13:27:23, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5083, loss_cls: 6.9640, loss: 6.9640 2023-12-30 00:44:11,369 - pyskl - INFO - Epoch [22][1900/3746] lr: 9.501e-02, eta: 3 days, 13:25:57, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4969, loss_cls: 7.0505, loss: 7.0505 2023-12-30 00:45:11,635 - pyskl - INFO - Epoch [22][2000/3746] lr: 9.500e-02, eta: 3 days, 13:24:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5103, loss_cls: 7.0066, loss: 7.0066 2023-12-30 00:46:12,003 - pyskl - INFO - Epoch [22][2100/3746] lr: 9.499e-02, eta: 3 days, 13:23:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.4995, loss_cls: 7.0363, loss: 7.0363 2023-12-30 00:47:12,611 - pyskl - INFO - Epoch [22][2200/3746] lr: 9.498e-02, eta: 3 days, 13:21:43, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5036, loss_cls: 6.9879, loss: 6.9879 2023-12-30 00:48:13,435 - pyskl - INFO - Epoch [22][2300/3746] lr: 9.496e-02, eta: 3 days, 13:20:21, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5028, loss_cls: 7.0111, loss: 7.0111 2023-12-30 00:49:13,987 - pyskl - INFO - Epoch [22][2400/3746] lr: 9.495e-02, eta: 3 days, 13:18:57, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.5053, loss_cls: 7.0179, loss: 7.0179 2023-12-30 00:50:14,779 - pyskl - INFO - Epoch [22][2500/3746] lr: 9.494e-02, eta: 3 days, 13:17:35, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5136, loss_cls: 6.9739, loss: 6.9739 2023-12-30 00:51:15,809 - pyskl - INFO - Epoch [22][2600/3746] lr: 9.493e-02, eta: 3 days, 13:16:14, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5075, loss_cls: 6.9980, loss: 6.9980 2023-12-30 00:52:16,462 - pyskl - INFO - Epoch [22][2700/3746] lr: 9.491e-02, eta: 3 days, 13:14:52, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.5100, loss_cls: 6.9905, loss: 6.9905 2023-12-30 00:53:17,168 - pyskl - INFO - Epoch [22][2800/3746] lr: 9.490e-02, eta: 3 days, 13:13:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5097, loss_cls: 6.9487, loss: 6.9487 2023-12-30 00:54:19,128 - pyskl - INFO - Epoch [22][2900/3746] lr: 9.489e-02, eta: 3 days, 13:12:14, time: 0.620, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5116, loss_cls: 6.9677, loss: 6.9677 2023-12-30 00:55:20,642 - pyskl - INFO - Epoch [22][3000/3746] lr: 9.488e-02, eta: 3 days, 13:10:56, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5192, loss_cls: 6.9528, loss: 6.9528 2023-12-30 00:56:21,806 - pyskl - INFO - Epoch [22][3100/3746] lr: 9.487e-02, eta: 3 days, 13:09:37, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5091, loss_cls: 6.9978, loss: 6.9978 2023-12-30 00:57:22,750 - pyskl - INFO - Epoch [22][3200/3746] lr: 9.485e-02, eta: 3 days, 13:08:16, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5128, loss_cls: 6.9787, loss: 6.9787 2023-12-30 00:58:23,260 - pyskl - INFO - Epoch [22][3300/3746] lr: 9.484e-02, eta: 3 days, 13:06:52, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5180, loss_cls: 6.9522, loss: 6.9522 2023-12-30 00:59:24,090 - pyskl - INFO - Epoch [22][3400/3746] lr: 9.483e-02, eta: 3 days, 13:05:31, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5195, loss_cls: 6.9528, loss: 6.9528 2023-12-30 01:00:24,808 - pyskl - INFO - Epoch [22][3500/3746] lr: 9.482e-02, eta: 3 days, 13:04:09, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5145, loss_cls: 6.9565, loss: 6.9565 2023-12-30 01:01:24,937 - pyskl - INFO - Epoch [22][3600/3746] lr: 9.480e-02, eta: 3 days, 13:02:43, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.4980, loss_cls: 7.0142, loss: 7.0142 2023-12-30 01:02:25,245 - pyskl - INFO - Epoch [22][3700/3746] lr: 9.479e-02, eta: 3 days, 13:01:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5047, loss_cls: 7.0042, loss: 7.0042 2023-12-30 01:02:55,841 - pyskl - INFO - Saving checkpoint at 22 epochs 2023-12-30 01:04:52,874 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 01:04:53,920 - pyskl - INFO - top1_acc 0.2052 top5_acc 0.4440 2023-12-30 01:04:53,920 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 01:04:53,956 - pyskl - INFO - mean_acc 0.2048 2023-12-30 01:04:53,962 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_18.pth was removed 2023-12-30 01:04:54,245 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. 2023-12-30 01:04:54,245 - pyskl - INFO - Best top1_acc is 0.2052 at 22 epoch. 2023-12-30 01:04:54,256 - pyskl - INFO - Epoch(val) [22][309] top1_acc: 0.2052, top5_acc: 0.4440, mean_class_accuracy: 0.2048 2023-12-30 01:08:15,746 - pyskl - INFO - Epoch [23][100/3746] lr: 9.477e-02, eta: 3 days, 13:10:15, time: 2.015, data_time: 1.420, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5152, loss_cls: 6.9804, loss: 6.9804 2023-12-30 01:09:15,463 - pyskl - INFO - Epoch [23][200/3746] lr: 9.476e-02, eta: 3 days, 13:08:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5205, loss_cls: 6.9450, loss: 6.9450 2023-12-30 01:10:16,007 - pyskl - INFO - Epoch [23][300/3746] lr: 9.475e-02, eta: 3 days, 13:07:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5172, loss_cls: 6.9475, loss: 6.9475 2023-12-30 01:11:17,066 - pyskl - INFO - Epoch [23][400/3746] lr: 9.474e-02, eta: 3 days, 13:06:02, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5005, loss_cls: 6.9853, loss: 6.9853 2023-12-30 01:12:18,203 - pyskl - INFO - Epoch [23][500/3746] lr: 9.472e-02, eta: 3 days, 13:04:42, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5056, loss_cls: 6.9749, loss: 6.9749 2023-12-30 01:13:18,609 - pyskl - INFO - Epoch [23][600/3746] lr: 9.471e-02, eta: 3 days, 13:03:17, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5083, loss_cls: 6.9638, loss: 6.9638 2023-12-30 01:14:19,095 - pyskl - INFO - Epoch [23][700/3746] lr: 9.470e-02, eta: 3 days, 13:01:54, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5031, loss_cls: 6.9803, loss: 6.9803 2023-12-30 01:15:19,572 - pyskl - INFO - Epoch [23][800/3746] lr: 9.469e-02, eta: 3 days, 13:00:30, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5245, loss_cls: 6.9172, loss: 6.9172 2023-12-30 01:16:20,371 - pyskl - INFO - Epoch [23][900/3746] lr: 9.467e-02, eta: 3 days, 12:59:08, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5089, loss_cls: 6.9660, loss: 6.9660 2023-12-30 01:17:21,030 - pyskl - INFO - Epoch [23][1000/3746] lr: 9.466e-02, eta: 3 days, 12:57:45, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5005, loss_cls: 7.0086, loss: 7.0086 2023-12-30 01:18:21,711 - pyskl - INFO - Epoch [23][1100/3746] lr: 9.465e-02, eta: 3 days, 12:56:23, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5122, loss_cls: 6.9709, loss: 6.9709 2023-12-30 01:19:22,293 - pyskl - INFO - Epoch [23][1200/3746] lr: 9.464e-02, eta: 3 days, 12:55:00, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5214, loss_cls: 6.9126, loss: 6.9126 2023-12-30 01:20:23,292 - pyskl - INFO - Epoch [23][1300/3746] lr: 9.462e-02, eta: 3 days, 12:53:39, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5120, loss_cls: 6.9544, loss: 6.9544 2023-12-30 01:21:24,859 - pyskl - INFO - Epoch [23][1400/3746] lr: 9.461e-02, eta: 3 days, 12:52:22, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.5045, loss_cls: 6.9962, loss: 6.9962 2023-12-30 01:22:26,127 - pyskl - INFO - Epoch [23][1500/3746] lr: 9.460e-02, eta: 3 days, 12:51:03, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.4956, loss_cls: 7.0013, loss: 7.0013 2023-12-30 01:23:27,328 - pyskl - INFO - Epoch [23][1600/3746] lr: 9.459e-02, eta: 3 days, 12:49:43, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5116, loss_cls: 6.9899, loss: 6.9899 2023-12-30 01:24:28,511 - pyskl - INFO - Epoch [23][1700/3746] lr: 9.457e-02, eta: 3 days, 12:48:24, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5011, loss_cls: 6.9913, loss: 6.9913 2023-12-30 01:25:29,922 - pyskl - INFO - Epoch [23][1800/3746] lr: 9.456e-02, eta: 3 days, 12:47:06, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5178, loss_cls: 6.9351, loss: 6.9351 2023-12-30 01:26:31,335 - pyskl - INFO - Epoch [23][1900/3746] lr: 9.455e-02, eta: 3 days, 12:45:48, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5142, loss_cls: 6.9814, loss: 6.9814 2023-12-30 01:27:32,283 - pyskl - INFO - Epoch [23][2000/3746] lr: 9.453e-02, eta: 3 days, 12:44:28, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5084, loss_cls: 6.9935, loss: 6.9935 2023-12-30 01:28:33,356 - pyskl - INFO - Epoch [23][2100/3746] lr: 9.452e-02, eta: 3 days, 12:43:08, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5114, loss_cls: 6.9646, loss: 6.9646 2023-12-30 01:29:34,295 - pyskl - INFO - Epoch [23][2200/3746] lr: 9.451e-02, eta: 3 days, 12:41:47, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5206, loss_cls: 6.9540, loss: 6.9540 2023-12-30 01:30:35,268 - pyskl - INFO - Epoch [23][2300/3746] lr: 9.450e-02, eta: 3 days, 12:40:27, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5084, loss_cls: 6.9871, loss: 6.9871 2023-12-30 01:31:35,780 - pyskl - INFO - Epoch [23][2400/3746] lr: 9.448e-02, eta: 3 days, 12:39:04, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5214, loss_cls: 6.9338, loss: 6.9338 2023-12-30 01:32:36,221 - pyskl - INFO - Epoch [23][2500/3746] lr: 9.447e-02, eta: 3 days, 12:37:41, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5144, loss_cls: 6.9403, loss: 6.9403 2023-12-30 01:33:36,763 - pyskl - INFO - Epoch [23][2600/3746] lr: 9.446e-02, eta: 3 days, 12:36:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5123, loss_cls: 6.9595, loss: 6.9595 2023-12-30 01:34:37,223 - pyskl - INFO - Epoch [23][2700/3746] lr: 9.445e-02, eta: 3 days, 12:34:55, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5122, loss_cls: 6.9679, loss: 6.9679 2023-12-30 01:35:38,509 - pyskl - INFO - Epoch [23][2800/3746] lr: 9.443e-02, eta: 3 days, 12:33:37, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5120, loss_cls: 6.9667, loss: 6.9667 2023-12-30 01:36:40,011 - pyskl - INFO - Epoch [23][2900/3746] lr: 9.442e-02, eta: 3 days, 12:32:20, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5134, loss_cls: 6.9587, loss: 6.9587 2023-12-30 01:37:40,970 - pyskl - INFO - Epoch [23][3000/3746] lr: 9.441e-02, eta: 3 days, 12:31:00, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.5034, loss_cls: 6.9929, loss: 6.9929 2023-12-30 01:38:42,044 - pyskl - INFO - Epoch [23][3100/3746] lr: 9.439e-02, eta: 3 days, 12:29:41, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5053, loss_cls: 7.0104, loss: 7.0104 2023-12-30 01:39:42,329 - pyskl - INFO - Epoch [23][3200/3746] lr: 9.438e-02, eta: 3 days, 12:28:17, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.4994, loss_cls: 7.0335, loss: 7.0335 2023-12-30 01:40:42,970 - pyskl - INFO - Epoch [23][3300/3746] lr: 9.437e-02, eta: 3 days, 12:26:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5038, loss_cls: 6.9927, loss: 6.9927 2023-12-30 01:41:43,977 - pyskl - INFO - Epoch [23][3400/3746] lr: 9.436e-02, eta: 3 days, 12:25:36, time: 0.610, data_time: 0.001, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5109, loss_cls: 6.9837, loss: 6.9837 2023-12-30 01:42:44,451 - pyskl - INFO - Epoch [23][3500/3746] lr: 9.434e-02, eta: 3 days, 12:24:13, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5100, loss_cls: 6.9556, loss: 6.9556 2023-12-30 01:43:44,439 - pyskl - INFO - Epoch [23][3600/3746] lr: 9.433e-02, eta: 3 days, 12:22:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5127, loss_cls: 6.9746, loss: 6.9746 2023-12-30 01:44:44,903 - pyskl - INFO - Epoch [23][3700/3746] lr: 9.432e-02, eta: 3 days, 12:21:26, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5148, loss_cls: 6.9555, loss: 6.9555 2023-12-30 01:45:16,443 - pyskl - INFO - Saving checkpoint at 23 epochs 2023-12-30 01:47:20,201 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 01:47:21,247 - pyskl - INFO - top1_acc 0.2084 top5_acc 0.4336 2023-12-30 01:47:21,247 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 01:47:21,283 - pyskl - INFO - mean_acc 0.2082 2023-12-30 01:47:21,289 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_22.pth was removed 2023-12-30 01:47:21,566 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. 2023-12-30 01:47:21,567 - pyskl - INFO - Best top1_acc is 0.2084 at 23 epoch. 2023-12-30 01:47:21,574 - pyskl - INFO - Epoch(val) [23][309] top1_acc: 0.2084, top5_acc: 0.4336, mean_class_accuracy: 0.2082 2023-12-30 01:50:39,425 - pyskl - INFO - Epoch [24][100/3746] lr: 9.430e-02, eta: 3 days, 12:29:30, time: 1.978, data_time: 1.387, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5183, loss_cls: 6.9358, loss: 6.9358 2023-12-30 01:51:38,981 - pyskl - INFO - Epoch [24][200/3746] lr: 9.428e-02, eta: 3 days, 12:28:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5133, loss_cls: 6.9238, loss: 6.9238 2023-12-30 01:52:38,969 - pyskl - INFO - Epoch [24][300/3746] lr: 9.427e-02, eta: 3 days, 12:26:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5109, loss_cls: 6.9620, loss: 6.9620 2023-12-30 01:53:39,464 - pyskl - INFO - Epoch [24][400/3746] lr: 9.426e-02, eta: 3 days, 12:25:13, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5084, loss_cls: 6.9848, loss: 6.9848 2023-12-30 01:54:40,713 - pyskl - INFO - Epoch [24][500/3746] lr: 9.425e-02, eta: 3 days, 12:23:54, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5155, loss_cls: 6.9400, loss: 6.9400 2023-12-30 01:55:41,894 - pyskl - INFO - Epoch [24][600/3746] lr: 9.423e-02, eta: 3 days, 12:22:35, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5147, loss_cls: 6.9610, loss: 6.9610 2023-12-30 01:56:42,571 - pyskl - INFO - Epoch [24][700/3746] lr: 9.422e-02, eta: 3 days, 12:21:13, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5173, loss_cls: 6.9162, loss: 6.9162 2023-12-30 01:57:42,937 - pyskl - INFO - Epoch [24][800/3746] lr: 9.421e-02, eta: 3 days, 12:19:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5200, loss_cls: 6.9528, loss: 6.9528 2023-12-30 01:58:43,204 - pyskl - INFO - Epoch [24][900/3746] lr: 9.419e-02, eta: 3 days, 12:18:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5127, loss_cls: 6.9636, loss: 6.9636 2023-12-30 01:59:43,891 - pyskl - INFO - Epoch [24][1000/3746] lr: 9.418e-02, eta: 3 days, 12:17:05, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5128, loss_cls: 6.9235, loss: 6.9235 2023-12-30 02:00:44,273 - pyskl - INFO - Epoch [24][1100/3746] lr: 9.417e-02, eta: 3 days, 12:15:42, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5111, loss_cls: 6.9725, loss: 6.9725 2023-12-30 02:01:44,831 - pyskl - INFO - Epoch [24][1200/3746] lr: 9.415e-02, eta: 3 days, 12:14:19, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5116, loss_cls: 6.9737, loss: 6.9737 2023-12-30 02:02:45,349 - pyskl - INFO - Epoch [24][1300/3746] lr: 9.414e-02, eta: 3 days, 12:12:57, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5116, loss_cls: 6.9655, loss: 6.9655 2023-12-30 02:03:45,892 - pyskl - INFO - Epoch [24][1400/3746] lr: 9.413e-02, eta: 3 days, 12:11:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5122, loss_cls: 6.9734, loss: 6.9734 2023-12-30 02:04:46,426 - pyskl - INFO - Epoch [24][1500/3746] lr: 9.411e-02, eta: 3 days, 12:10:13, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5152, loss_cls: 6.9376, loss: 6.9376 2023-12-30 02:05:46,954 - pyskl - INFO - Epoch [24][1600/3746] lr: 9.410e-02, eta: 3 days, 12:08:51, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5062, loss_cls: 6.9928, loss: 6.9928 2023-12-30 02:06:47,734 - pyskl - INFO - Epoch [24][1700/3746] lr: 9.409e-02, eta: 3 days, 12:07:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5105, loss_cls: 6.9953, loss: 6.9953 2023-12-30 02:07:48,790 - pyskl - INFO - Epoch [24][1800/3746] lr: 9.407e-02, eta: 3 days, 12:06:11, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5084, loss_cls: 6.9646, loss: 6.9646 2023-12-30 02:08:49,455 - pyskl - INFO - Epoch [24][1900/3746] lr: 9.406e-02, eta: 3 days, 12:04:50, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5191, loss_cls: 6.9210, loss: 6.9210 2023-12-30 02:09:50,022 - pyskl - INFO - Epoch [24][2000/3746] lr: 9.405e-02, eta: 3 days, 12:03:28, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5084, loss_cls: 6.9996, loss: 6.9996 2023-12-30 02:10:50,628 - pyskl - INFO - Epoch [24][2100/3746] lr: 9.404e-02, eta: 3 days, 12:02:07, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5133, loss_cls: 6.9855, loss: 6.9855 2023-12-30 02:11:51,287 - pyskl - INFO - Epoch [24][2200/3746] lr: 9.402e-02, eta: 3 days, 12:00:46, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5044, loss_cls: 6.9935, loss: 6.9935 2023-12-30 02:12:51,844 - pyskl - INFO - Epoch [24][2300/3746] lr: 9.401e-02, eta: 3 days, 11:59:24, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5066, loss_cls: 6.9896, loss: 6.9896 2023-12-30 02:13:52,525 - pyskl - INFO - Epoch [24][2400/3746] lr: 9.400e-02, eta: 3 days, 11:58:03, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5144, loss_cls: 6.9696, loss: 6.9696 2023-12-30 02:14:53,032 - pyskl - INFO - Epoch [24][2500/3746] lr: 9.398e-02, eta: 3 days, 11:56:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5038, loss_cls: 7.0218, loss: 7.0218 2023-12-30 02:15:53,371 - pyskl - INFO - Epoch [24][2600/3746] lr: 9.397e-02, eta: 3 days, 11:55:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5116, loss_cls: 6.9704, loss: 6.9704 2023-12-30 02:16:53,989 - pyskl - INFO - Epoch [24][2700/3746] lr: 9.396e-02, eta: 3 days, 11:53:58, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5112, loss_cls: 6.9339, loss: 6.9339 2023-12-30 02:17:55,521 - pyskl - INFO - Epoch [24][2800/3746] lr: 9.394e-02, eta: 3 days, 11:52:41, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5175, loss_cls: 6.9554, loss: 6.9554 2023-12-30 02:18:56,635 - pyskl - INFO - Epoch [24][2900/3746] lr: 9.393e-02, eta: 3 days, 11:51:23, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5159, loss_cls: 6.9602, loss: 6.9602 2023-12-30 02:19:57,556 - pyskl - INFO - Epoch [24][3000/3746] lr: 9.392e-02, eta: 3 days, 11:50:04, time: 0.609, data_time: 0.001, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5114, loss_cls: 6.9628, loss: 6.9628 2023-12-30 02:20:58,690 - pyskl - INFO - Epoch [24][3100/3746] lr: 9.390e-02, eta: 3 days, 11:48:46, time: 0.611, data_time: 0.001, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5103, loss_cls: 6.9507, loss: 6.9507 2023-12-30 02:21:59,100 - pyskl - INFO - Epoch [24][3200/3746] lr: 9.389e-02, eta: 3 days, 11:47:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5167, loss_cls: 6.9705, loss: 6.9705 2023-12-30 02:22:59,780 - pyskl - INFO - Epoch [24][3300/3746] lr: 9.388e-02, eta: 3 days, 11:46:03, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.5041, loss_cls: 7.0183, loss: 7.0183 2023-12-30 02:24:00,678 - pyskl - INFO - Epoch [24][3400/3746] lr: 9.386e-02, eta: 3 days, 11:44:44, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5200, loss_cls: 6.9702, loss: 6.9702 2023-12-30 02:25:00,835 - pyskl - INFO - Epoch [24][3500/3746] lr: 9.385e-02, eta: 3 days, 11:43:21, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5211, loss_cls: 6.9397, loss: 6.9397 2023-12-30 02:26:00,960 - pyskl - INFO - Epoch [24][3600/3746] lr: 9.384e-02, eta: 3 days, 11:41:57, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5000, loss_cls: 6.9921, loss: 6.9921 2023-12-30 02:27:01,617 - pyskl - INFO - Epoch [24][3700/3746] lr: 9.382e-02, eta: 3 days, 11:40:37, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5230, loss_cls: 6.9254, loss: 6.9254 2023-12-30 02:27:31,845 - pyskl - INFO - Saving checkpoint at 24 epochs 2023-12-30 02:29:30,060 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 02:29:31,129 - pyskl - INFO - top1_acc 0.1976 top5_acc 0.4195 2023-12-30 02:29:31,129 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 02:29:31,166 - pyskl - INFO - mean_acc 0.1975 2023-12-30 02:29:31,174 - pyskl - INFO - Epoch(val) [24][309] top1_acc: 0.1976, top5_acc: 0.4195, mean_class_accuracy: 0.1975 2023-12-30 02:32:51,871 - pyskl - INFO - Epoch [25][100/3746] lr: 9.380e-02, eta: 3 days, 11:48:27, time: 2.007, data_time: 1.416, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5231, loss_cls: 6.9099, loss: 6.9099 2023-12-30 02:33:51,495 - pyskl - INFO - Epoch [25][200/3746] lr: 9.379e-02, eta: 3 days, 11:47:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5158, loss_cls: 6.9622, loss: 6.9622 2023-12-30 02:34:51,993 - pyskl - INFO - Epoch [25][300/3746] lr: 9.378e-02, eta: 3 days, 11:45:39, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5108, loss_cls: 6.9804, loss: 6.9804 2023-12-30 02:35:52,191 - pyskl - INFO - Epoch [25][400/3746] lr: 9.376e-02, eta: 3 days, 11:44:16, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5172, loss_cls: 6.9511, loss: 6.9511 2023-12-30 02:36:52,467 - pyskl - INFO - Epoch [25][500/3746] lr: 9.375e-02, eta: 3 days, 11:42:53, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5119, loss_cls: 6.9599, loss: 6.9599 2023-12-30 02:37:53,001 - pyskl - INFO - Epoch [25][600/3746] lr: 9.373e-02, eta: 3 days, 11:41:31, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5162, loss_cls: 6.9650, loss: 6.9650 2023-12-30 02:38:53,272 - pyskl - INFO - Epoch [25][700/3746] lr: 9.372e-02, eta: 3 days, 11:40:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5192, loss_cls: 6.9354, loss: 6.9354 2023-12-30 02:39:53,658 - pyskl - INFO - Epoch [25][800/3746] lr: 9.371e-02, eta: 3 days, 11:38:46, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5155, loss_cls: 6.9524, loss: 6.9524 2023-12-30 02:40:54,052 - pyskl - INFO - Epoch [25][900/3746] lr: 9.369e-02, eta: 3 days, 11:37:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5122, loss_cls: 6.9589, loss: 6.9589 2023-12-30 02:41:55,298 - pyskl - INFO - Epoch [25][1000/3746] lr: 9.368e-02, eta: 3 days, 11:36:06, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5197, loss_cls: 6.9289, loss: 6.9289 2023-12-30 02:42:56,087 - pyskl - INFO - Epoch [25][1100/3746] lr: 9.367e-02, eta: 3 days, 11:34:46, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5084, loss_cls: 6.9788, loss: 6.9788 2023-12-30 02:43:57,092 - pyskl - INFO - Epoch [25][1200/3746] lr: 9.365e-02, eta: 3 days, 11:33:27, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5108, loss_cls: 6.9771, loss: 6.9771 2023-12-30 02:44:57,851 - pyskl - INFO - Epoch [25][1300/3746] lr: 9.364e-02, eta: 3 days, 11:32:07, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5120, loss_cls: 6.9611, loss: 6.9611 2023-12-30 02:45:58,719 - pyskl - INFO - Epoch [25][1400/3746] lr: 9.363e-02, eta: 3 days, 11:30:48, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5111, loss_cls: 6.9710, loss: 6.9710 2023-12-30 02:46:59,001 - pyskl - INFO - Epoch [25][1500/3746] lr: 9.361e-02, eta: 3 days, 11:29:25, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5202, loss_cls: 6.8938, loss: 6.8938 2023-12-30 02:47:59,816 - pyskl - INFO - Epoch [25][1600/3746] lr: 9.360e-02, eta: 3 days, 11:28:06, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5138, loss_cls: 6.9453, loss: 6.9453 2023-12-30 02:49:00,889 - pyskl - INFO - Epoch [25][1700/3746] lr: 9.358e-02, eta: 3 days, 11:26:47, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5086, loss_cls: 7.0034, loss: 7.0034 2023-12-30 02:50:01,578 - pyskl - INFO - Epoch [25][1800/3746] lr: 9.357e-02, eta: 3 days, 11:25:27, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5077, loss_cls: 6.9749, loss: 6.9749 2023-12-30 02:51:01,847 - pyskl - INFO - Epoch [25][1900/3746] lr: 9.356e-02, eta: 3 days, 11:24:05, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5102, loss_cls: 6.9856, loss: 6.9856 2023-12-30 02:52:02,079 - pyskl - INFO - Epoch [25][2000/3746] lr: 9.354e-02, eta: 3 days, 11:22:42, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5130, loss_cls: 6.9504, loss: 6.9504 2023-12-30 02:53:02,592 - pyskl - INFO - Epoch [25][2100/3746] lr: 9.353e-02, eta: 3 days, 11:21:21, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5047, loss_cls: 6.9966, loss: 6.9966 2023-12-30 02:54:02,965 - pyskl - INFO - Epoch [25][2200/3746] lr: 9.352e-02, eta: 3 days, 11:20:00, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5100, loss_cls: 6.9562, loss: 6.9562 2023-12-30 02:55:03,196 - pyskl - INFO - Epoch [25][2300/3746] lr: 9.350e-02, eta: 3 days, 11:18:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5111, loss_cls: 6.9734, loss: 6.9734 2023-12-30 02:56:03,555 - pyskl - INFO - Epoch [25][2400/3746] lr: 9.349e-02, eta: 3 days, 11:17:16, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5127, loss_cls: 6.9756, loss: 6.9756 2023-12-30 02:57:03,770 - pyskl - INFO - Epoch [25][2500/3746] lr: 9.347e-02, eta: 3 days, 11:15:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5117, loss_cls: 6.9473, loss: 6.9473 2023-12-30 02:58:04,234 - pyskl - INFO - Epoch [25][2600/3746] lr: 9.346e-02, eta: 3 days, 11:14:32, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5066, loss_cls: 6.9936, loss: 6.9936 2023-12-30 02:59:05,241 - pyskl - INFO - Epoch [25][2700/3746] lr: 9.345e-02, eta: 3 days, 11:13:14, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5056, loss_cls: 6.9480, loss: 6.9480 2023-12-30 03:00:06,817 - pyskl - INFO - Epoch [25][2800/3746] lr: 9.343e-02, eta: 3 days, 11:11:59, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5139, loss_cls: 6.9838, loss: 6.9838 2023-12-30 03:01:07,380 - pyskl - INFO - Epoch [25][2900/3746] lr: 9.342e-02, eta: 3 days, 11:10:39, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5066, loss_cls: 7.0003, loss: 7.0003 2023-12-30 03:02:08,399 - pyskl - INFO - Epoch [25][3000/3746] lr: 9.341e-02, eta: 3 days, 11:09:20, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5153, loss_cls: 6.9755, loss: 6.9755 2023-12-30 03:03:09,369 - pyskl - INFO - Epoch [25][3100/3746] lr: 9.339e-02, eta: 3 days, 11:08:02, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5242, loss_cls: 6.9269, loss: 6.9269 2023-12-30 03:04:09,899 - pyskl - INFO - Epoch [25][3200/3746] lr: 9.338e-02, eta: 3 days, 11:06:42, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5094, loss_cls: 6.9588, loss: 6.9588 2023-12-30 03:05:10,453 - pyskl - INFO - Epoch [25][3300/3746] lr: 9.336e-02, eta: 3 days, 11:05:22, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5036, loss_cls: 7.0018, loss: 7.0018 2023-12-30 03:06:10,458 - pyskl - INFO - Epoch [25][3400/3746] lr: 9.335e-02, eta: 3 days, 11:03:59, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.5080, loss_cls: 6.9880, loss: 6.9880 2023-12-30 03:07:10,518 - pyskl - INFO - Epoch [25][3500/3746] lr: 9.334e-02, eta: 3 days, 11:02:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5052, loss_cls: 6.9781, loss: 6.9781 2023-12-30 03:08:10,863 - pyskl - INFO - Epoch [25][3600/3746] lr: 9.332e-02, eta: 3 days, 11:01:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5086, loss_cls: 6.9785, loss: 6.9785 2023-12-30 03:09:10,915 - pyskl - INFO - Epoch [25][3700/3746] lr: 9.331e-02, eta: 3 days, 10:59:52, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5097, loss_cls: 6.9646, loss: 6.9646 2023-12-30 03:09:41,480 - pyskl - INFO - Saving checkpoint at 25 epochs 2023-12-30 03:11:40,062 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 03:11:40,846 - pyskl - INFO - top1_acc 0.1951 top5_acc 0.4287 2023-12-30 03:11:40,846 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 03:11:40,876 - pyskl - INFO - mean_acc 0.1946 2023-12-30 03:11:40,883 - pyskl - INFO - Epoch(val) [25][309] top1_acc: 0.1951, top5_acc: 0.4287, mean_class_accuracy: 0.1946 2023-12-30 03:14:56,453 - pyskl - INFO - Epoch [26][100/3746] lr: 9.329e-02, eta: 3 days, 11:06:50, time: 1.956, data_time: 1.363, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5173, loss_cls: 6.9191, loss: 6.9191 2023-12-30 03:15:55,988 - pyskl - INFO - Epoch [26][200/3746] lr: 9.327e-02, eta: 3 days, 11:05:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2731, top5_acc: 0.5269, loss_cls: 6.9262, loss: 6.9262 2023-12-30 03:16:56,421 - pyskl - INFO - Epoch [26][300/3746] lr: 9.326e-02, eta: 3 days, 11:04:03, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5202, loss_cls: 6.9499, loss: 6.9499 2023-12-30 03:17:57,180 - pyskl - INFO - Epoch [26][400/3746] lr: 9.325e-02, eta: 3 days, 11:02:44, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5042, loss_cls: 6.9744, loss: 6.9744 2023-12-30 03:18:57,508 - pyskl - INFO - Epoch [26][500/3746] lr: 9.323e-02, eta: 3 days, 11:01:22, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5177, loss_cls: 6.9504, loss: 6.9504 2023-12-30 03:19:57,910 - pyskl - INFO - Epoch [26][600/3746] lr: 9.322e-02, eta: 3 days, 11:00:01, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5123, loss_cls: 6.9688, loss: 6.9688 2023-12-30 03:20:58,587 - pyskl - INFO - Epoch [26][700/3746] lr: 9.320e-02, eta: 3 days, 10:58:41, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5098, loss_cls: 6.9888, loss: 6.9888 2023-12-30 03:21:59,926 - pyskl - INFO - Epoch [26][800/3746] lr: 9.319e-02, eta: 3 days, 10:57:24, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5133, loss_cls: 6.9719, loss: 6.9719 2023-12-30 03:23:00,483 - pyskl - INFO - Epoch [26][900/3746] lr: 9.318e-02, eta: 3 days, 10:56:04, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5192, loss_cls: 6.9370, loss: 6.9370 2023-12-30 03:24:00,965 - pyskl - INFO - Epoch [26][1000/3746] lr: 9.316e-02, eta: 3 days, 10:54:43, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5108, loss_cls: 6.9763, loss: 6.9763 2023-12-30 03:25:02,053 - pyskl - INFO - Epoch [26][1100/3746] lr: 9.315e-02, eta: 3 days, 10:53:26, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5109, loss_cls: 6.9443, loss: 6.9443 2023-12-30 03:26:03,069 - pyskl - INFO - Epoch [26][1200/3746] lr: 9.313e-02, eta: 3 days, 10:52:08, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5250, loss_cls: 6.9068, loss: 6.9068 2023-12-30 03:27:03,568 - pyskl - INFO - Epoch [26][1300/3746] lr: 9.312e-02, eta: 3 days, 10:50:47, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5144, loss_cls: 6.9665, loss: 6.9665 2023-12-30 03:28:04,049 - pyskl - INFO - Epoch [26][1400/3746] lr: 9.310e-02, eta: 3 days, 10:49:27, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5177, loss_cls: 6.9350, loss: 6.9350 2023-12-30 03:29:04,415 - pyskl - INFO - Epoch [26][1500/3746] lr: 9.309e-02, eta: 3 days, 10:48:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5058, loss_cls: 6.9666, loss: 6.9666 2023-12-30 03:30:04,781 - pyskl - INFO - Epoch [26][1600/3746] lr: 9.308e-02, eta: 3 days, 10:46:45, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5050, loss_cls: 6.9813, loss: 6.9813 2023-12-30 03:31:05,111 - pyskl - INFO - Epoch [26][1700/3746] lr: 9.306e-02, eta: 3 days, 10:45:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5117, loss_cls: 6.9536, loss: 6.9536 2023-12-30 03:32:05,631 - pyskl - INFO - Epoch [26][1800/3746] lr: 9.305e-02, eta: 3 days, 10:44:03, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5020, loss_cls: 7.0170, loss: 7.0170 2023-12-30 03:33:06,128 - pyskl - INFO - Epoch [26][1900/3746] lr: 9.303e-02, eta: 3 days, 10:42:43, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.5112, loss_cls: 6.9782, loss: 6.9782 2023-12-30 03:34:06,360 - pyskl - INFO - Epoch [26][2000/3746] lr: 9.302e-02, eta: 3 days, 10:41:22, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5197, loss_cls: 6.9335, loss: 6.9335 2023-12-30 03:35:06,611 - pyskl - INFO - Epoch [26][2100/3746] lr: 9.300e-02, eta: 3 days, 10:40:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5122, loss_cls: 6.9600, loss: 6.9600 2023-12-30 03:36:07,045 - pyskl - INFO - Epoch [26][2200/3746] lr: 9.299e-02, eta: 3 days, 10:38:40, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5033, loss_cls: 7.0133, loss: 7.0133 2023-12-30 03:37:07,892 - pyskl - INFO - Epoch [26][2300/3746] lr: 9.298e-02, eta: 3 days, 10:37:22, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5019, loss_cls: 6.9846, loss: 6.9846 2023-12-30 03:38:08,344 - pyskl - INFO - Epoch [26][2400/3746] lr: 9.296e-02, eta: 3 days, 10:36:01, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5252, loss_cls: 6.9225, loss: 6.9225 2023-12-30 03:39:08,652 - pyskl - INFO - Epoch [26][2500/3746] lr: 9.295e-02, eta: 3 days, 10:34:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5077, loss_cls: 6.9966, loss: 6.9966 2023-12-30 03:40:09,174 - pyskl - INFO - Epoch [26][2600/3746] lr: 9.293e-02, eta: 3 days, 10:33:21, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5139, loss_cls: 6.9308, loss: 6.9308 2023-12-30 03:41:10,687 - pyskl - INFO - Epoch [26][2700/3746] lr: 9.292e-02, eta: 3 days, 10:32:06, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5123, loss_cls: 6.9553, loss: 6.9553 2023-12-30 03:42:12,214 - pyskl - INFO - Epoch [26][2800/3746] lr: 9.290e-02, eta: 3 days, 10:30:51, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5123, loss_cls: 6.9808, loss: 6.9808 2023-12-30 03:43:12,801 - pyskl - INFO - Epoch [26][2900/3746] lr: 9.289e-02, eta: 3 days, 10:29:31, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5159, loss_cls: 6.9242, loss: 6.9242 2023-12-30 03:44:13,793 - pyskl - INFO - Epoch [26][3000/3746] lr: 9.288e-02, eta: 3 days, 10:28:14, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5056, loss_cls: 6.9863, loss: 6.9863 2023-12-30 03:45:14,576 - pyskl - INFO - Epoch [26][3100/3746] lr: 9.286e-02, eta: 3 days, 10:26:55, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.4959, loss_cls: 7.0384, loss: 7.0384 2023-12-30 03:46:14,593 - pyskl - INFO - Epoch [26][3200/3746] lr: 9.285e-02, eta: 3 days, 10:25:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5175, loss_cls: 6.9504, loss: 6.9504 2023-12-30 03:47:15,450 - pyskl - INFO - Epoch [26][3300/3746] lr: 9.283e-02, eta: 3 days, 10:24:15, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5112, loss_cls: 6.9613, loss: 6.9613 2023-12-30 03:48:15,549 - pyskl - INFO - Epoch [26][3400/3746] lr: 9.282e-02, eta: 3 days, 10:22:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5084, loss_cls: 6.9758, loss: 6.9758 2023-12-30 03:49:16,142 - pyskl - INFO - Epoch [26][3500/3746] lr: 9.280e-02, eta: 3 days, 10:21:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5202, loss_cls: 6.9542, loss: 6.9542 2023-12-30 03:50:16,748 - pyskl - INFO - Epoch [26][3600/3746] lr: 9.279e-02, eta: 3 days, 10:20:16, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5106, loss_cls: 6.9890, loss: 6.9890 2023-12-30 03:51:17,147 - pyskl - INFO - Epoch [26][3700/3746] lr: 9.278e-02, eta: 3 days, 10:18:56, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5184, loss_cls: 6.9190, loss: 6.9190 2023-12-30 03:51:47,219 - pyskl - INFO - Saving checkpoint at 26 epochs 2023-12-30 03:53:45,154 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 03:53:45,960 - pyskl - INFO - top1_acc 0.1898 top5_acc 0.4203 2023-12-30 03:53:45,960 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 03:53:45,989 - pyskl - INFO - mean_acc 0.1898 2023-12-30 03:53:45,997 - pyskl - INFO - Epoch(val) [26][309] top1_acc: 0.1898, top5_acc: 0.4203, mean_class_accuracy: 0.1898 2023-12-30 03:57:06,521 - pyskl - INFO - Epoch [27][100/3746] lr: 9.275e-02, eta: 3 days, 10:25:54, time: 2.005, data_time: 1.411, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5144, loss_cls: 6.9469, loss: 6.9469 2023-12-30 03:58:06,188 - pyskl - INFO - Epoch [27][200/3746] lr: 9.274e-02, eta: 3 days, 10:24:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5227, loss_cls: 6.9118, loss: 6.9118 2023-12-30 03:59:06,090 - pyskl - INFO - Epoch [27][300/3746] lr: 9.272e-02, eta: 3 days, 10:23:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5222, loss_cls: 6.8842, loss: 6.8842 2023-12-30 04:00:06,420 - pyskl - INFO - Epoch [27][400/3746] lr: 9.271e-02, eta: 3 days, 10:21:46, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5120, loss_cls: 6.9589, loss: 6.9589 2023-12-30 04:01:06,674 - pyskl - INFO - Epoch [27][500/3746] lr: 9.270e-02, eta: 3 days, 10:20:25, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5148, loss_cls: 6.9294, loss: 6.9294 2023-12-30 04:02:07,117 - pyskl - INFO - Epoch [27][600/3746] lr: 9.268e-02, eta: 3 days, 10:19:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5206, loss_cls: 6.9616, loss: 6.9616 2023-12-30 04:03:07,503 - pyskl - INFO - Epoch [27][700/3746] lr: 9.267e-02, eta: 3 days, 10:17:45, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5089, loss_cls: 6.9734, loss: 6.9734 2023-12-30 04:04:08,060 - pyskl - INFO - Epoch [27][800/3746] lr: 9.265e-02, eta: 3 days, 10:16:25, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5241, loss_cls: 6.9154, loss: 6.9154 2023-12-30 04:05:08,491 - pyskl - INFO - Epoch [27][900/3746] lr: 9.264e-02, eta: 3 days, 10:15:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5109, loss_cls: 6.9782, loss: 6.9782 2023-12-30 04:06:09,462 - pyskl - INFO - Epoch [27][1000/3746] lr: 9.262e-02, eta: 3 days, 10:13:47, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5169, loss_cls: 6.9416, loss: 6.9416 2023-12-30 04:07:10,003 - pyskl - INFO - Epoch [27][1100/3746] lr: 9.261e-02, eta: 3 days, 10:12:28, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5225, loss_cls: 6.9297, loss: 6.9297 2023-12-30 04:08:10,187 - pyskl - INFO - Epoch [27][1200/3746] lr: 9.259e-02, eta: 3 days, 10:11:07, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5142, loss_cls: 6.9616, loss: 6.9616 2023-12-30 04:09:10,746 - pyskl - INFO - Epoch [27][1300/3746] lr: 9.258e-02, eta: 3 days, 10:09:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5088, loss_cls: 6.9711, loss: 6.9711 2023-12-30 04:10:11,332 - pyskl - INFO - Epoch [27][1400/3746] lr: 9.256e-02, eta: 3 days, 10:08:28, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5188, loss_cls: 6.9383, loss: 6.9383 2023-12-30 04:11:11,667 - pyskl - INFO - Epoch [27][1500/3746] lr: 9.255e-02, eta: 3 days, 10:07:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5172, loss_cls: 6.9489, loss: 6.9489 2023-12-30 04:12:12,157 - pyskl - INFO - Epoch [27][1600/3746] lr: 9.253e-02, eta: 3 days, 10:05:48, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5197, loss_cls: 6.9287, loss: 6.9287 2023-12-30 04:13:12,335 - pyskl - INFO - Epoch [27][1700/3746] lr: 9.252e-02, eta: 3 days, 10:04:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5094, loss_cls: 6.9678, loss: 6.9678 2023-12-30 04:14:12,860 - pyskl - INFO - Epoch [27][1800/3746] lr: 9.251e-02, eta: 3 days, 10:03:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5266, loss_cls: 6.9047, loss: 6.9047 2023-12-30 04:15:13,104 - pyskl - INFO - Epoch [27][1900/3746] lr: 9.249e-02, eta: 3 days, 10:01:47, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5170, loss_cls: 6.9311, loss: 6.9311 2023-12-30 04:16:13,518 - pyskl - INFO - Epoch [27][2000/3746] lr: 9.248e-02, eta: 3 days, 10:00:28, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5162, loss_cls: 6.9261, loss: 6.9261 2023-12-30 04:17:14,299 - pyskl - INFO - Epoch [27][2100/3746] lr: 9.246e-02, eta: 3 days, 9:59:10, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5078, loss_cls: 6.9454, loss: 6.9454 2023-12-30 04:18:14,980 - pyskl - INFO - Epoch [27][2200/3746] lr: 9.245e-02, eta: 3 days, 9:57:51, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5209, loss_cls: 6.9399, loss: 6.9399 2023-12-30 04:19:15,329 - pyskl - INFO - Epoch [27][2300/3746] lr: 9.243e-02, eta: 3 days, 9:56:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5216, loss_cls: 6.9492, loss: 6.9492 2023-12-30 04:20:15,952 - pyskl - INFO - Epoch [27][2400/3746] lr: 9.242e-02, eta: 3 days, 9:55:13, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5177, loss_cls: 6.9760, loss: 6.9760 2023-12-30 04:21:16,730 - pyskl - INFO - Epoch [27][2500/3746] lr: 9.240e-02, eta: 3 days, 9:53:55, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5186, loss_cls: 6.9503, loss: 6.9503 2023-12-30 04:22:17,285 - pyskl - INFO - Epoch [27][2600/3746] lr: 9.239e-02, eta: 3 days, 9:52:36, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5111, loss_cls: 6.9823, loss: 6.9823 2023-12-30 04:23:19,234 - pyskl - INFO - Epoch [27][2700/3746] lr: 9.237e-02, eta: 3 days, 9:51:23, time: 0.619, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5069, loss_cls: 6.9906, loss: 6.9906 2023-12-30 04:24:20,568 - pyskl - INFO - Epoch [27][2800/3746] lr: 9.236e-02, eta: 3 days, 9:50:08, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5142, loss_cls: 6.9646, loss: 6.9646 2023-12-30 04:25:21,527 - pyskl - INFO - Epoch [27][2900/3746] lr: 9.234e-02, eta: 3 days, 9:48:51, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5103, loss_cls: 6.9599, loss: 6.9599 2023-12-30 04:26:22,598 - pyskl - INFO - Epoch [27][3000/3746] lr: 9.233e-02, eta: 3 days, 9:47:35, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5030, loss_cls: 6.9776, loss: 6.9776 2023-12-30 04:27:23,418 - pyskl - INFO - Epoch [27][3100/3746] lr: 9.231e-02, eta: 3 days, 9:46:17, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5094, loss_cls: 6.9599, loss: 6.9599 2023-12-30 04:28:24,063 - pyskl - INFO - Epoch [27][3200/3746] lr: 9.230e-02, eta: 3 days, 9:44:59, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.5086, loss_cls: 6.9683, loss: 6.9683 2023-12-30 04:29:24,596 - pyskl - INFO - Epoch [27][3300/3746] lr: 9.228e-02, eta: 3 days, 9:43:40, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5191, loss_cls: 6.9388, loss: 6.9388 2023-12-30 04:30:25,037 - pyskl - INFO - Epoch [27][3400/3746] lr: 9.227e-02, eta: 3 days, 9:42:21, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5195, loss_cls: 6.9436, loss: 6.9436 2023-12-30 04:31:25,821 - pyskl - INFO - Epoch [27][3500/3746] lr: 9.225e-02, eta: 3 days, 9:41:04, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5205, loss_cls: 6.9541, loss: 6.9541 2023-12-30 04:32:26,267 - pyskl - INFO - Epoch [27][3600/3746] lr: 9.224e-02, eta: 3 days, 9:39:45, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5198, loss_cls: 6.9432, loss: 6.9432 2023-12-30 04:33:26,418 - pyskl - INFO - Epoch [27][3700/3746] lr: 9.222e-02, eta: 3 days, 9:38:24, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.4995, loss_cls: 7.0089, loss: 7.0089 2023-12-30 04:33:56,898 - pyskl - INFO - Saving checkpoint at 27 epochs 2023-12-30 04:35:58,394 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 04:35:59,431 - pyskl - INFO - top1_acc 0.1715 top5_acc 0.3941 2023-12-30 04:35:59,431 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 04:35:59,470 - pyskl - INFO - mean_acc 0.1711 2023-12-30 04:35:59,479 - pyskl - INFO - Epoch(val) [27][309] top1_acc: 0.1715, top5_acc: 0.3941, mean_class_accuracy: 0.1711 2023-12-30 04:39:16,241 - pyskl - INFO - Epoch [28][100/3746] lr: 9.220e-02, eta: 3 days, 9:44:43, time: 1.968, data_time: 1.374, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5184, loss_cls: 6.9205, loss: 6.9205 2023-12-30 04:40:16,045 - pyskl - INFO - Epoch [28][200/3746] lr: 9.219e-02, eta: 3 days, 9:43:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5311, loss_cls: 6.8568, loss: 6.8568 2023-12-30 04:41:16,215 - pyskl - INFO - Epoch [28][300/3746] lr: 9.217e-02, eta: 3 days, 9:42:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5184, loss_cls: 6.9428, loss: 6.9428 2023-12-30 04:42:16,375 - pyskl - INFO - Epoch [28][400/3746] lr: 9.216e-02, eta: 3 days, 9:40:39, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5178, loss_cls: 6.9515, loss: 6.9515 2023-12-30 04:43:17,120 - pyskl - INFO - Epoch [28][500/3746] lr: 9.214e-02, eta: 3 days, 9:39:21, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5227, loss_cls: 6.8990, loss: 6.8990 2023-12-30 04:44:17,440 - pyskl - INFO - Epoch [28][600/3746] lr: 9.213e-02, eta: 3 days, 9:38:01, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5161, loss_cls: 6.9312, loss: 6.9312 2023-12-30 04:45:17,626 - pyskl - INFO - Epoch [28][700/3746] lr: 9.211e-02, eta: 3 days, 9:36:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5095, loss_cls: 6.9599, loss: 6.9599 2023-12-30 04:46:17,923 - pyskl - INFO - Epoch [28][800/3746] lr: 9.210e-02, eta: 3 days, 9:35:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5120, loss_cls: 6.9583, loss: 6.9583 2023-12-30 04:47:18,361 - pyskl - INFO - Epoch [28][900/3746] lr: 9.208e-02, eta: 3 days, 9:34:01, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5278, loss_cls: 6.9202, loss: 6.9202 2023-12-30 04:48:19,424 - pyskl - INFO - Epoch [28][1000/3746] lr: 9.207e-02, eta: 3 days, 9:32:45, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5098, loss_cls: 6.9777, loss: 6.9777 2023-12-30 04:49:19,680 - pyskl - INFO - Epoch [28][1100/3746] lr: 9.205e-02, eta: 3 days, 9:31:25, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5294, loss_cls: 6.9012, loss: 6.9012 2023-12-30 04:50:19,860 - pyskl - INFO - Epoch [28][1200/3746] lr: 9.204e-02, eta: 3 days, 9:30:04, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5095, loss_cls: 6.9600, loss: 6.9600 2023-12-30 04:51:20,128 - pyskl - INFO - Epoch [28][1300/3746] lr: 9.202e-02, eta: 3 days, 9:28:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5142, loss_cls: 6.9382, loss: 6.9382 2023-12-30 04:52:20,387 - pyskl - INFO - Epoch [28][1400/3746] lr: 9.201e-02, eta: 3 days, 9:27:25, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5233, loss_cls: 6.9173, loss: 6.9173 2023-12-30 04:53:20,785 - pyskl - INFO - Epoch [28][1500/3746] lr: 9.199e-02, eta: 3 days, 9:26:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5223, loss_cls: 6.9066, loss: 6.9066 2023-12-30 04:54:21,015 - pyskl - INFO - Epoch [28][1600/3746] lr: 9.198e-02, eta: 3 days, 9:24:45, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5209, loss_cls: 6.9272, loss: 6.9272 2023-12-30 04:55:21,506 - pyskl - INFO - Epoch [28][1700/3746] lr: 9.196e-02, eta: 3 days, 9:23:27, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5120, loss_cls: 6.9613, loss: 6.9613 2023-12-30 04:56:21,758 - pyskl - INFO - Epoch [28][1800/3746] lr: 9.194e-02, eta: 3 days, 9:22:07, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5131, loss_cls: 6.9823, loss: 6.9823 2023-12-30 04:57:22,169 - pyskl - INFO - Epoch [28][1900/3746] lr: 9.193e-02, eta: 3 days, 9:20:48, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5228, loss_cls: 6.9471, loss: 6.9471 2023-12-30 04:58:22,511 - pyskl - INFO - Epoch [28][2000/3746] lr: 9.191e-02, eta: 3 days, 9:19:29, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5188, loss_cls: 6.9506, loss: 6.9506 2023-12-30 04:59:22,824 - pyskl - INFO - Epoch [28][2100/3746] lr: 9.190e-02, eta: 3 days, 9:18:09, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.5041, loss_cls: 7.0092, loss: 7.0092 2023-12-30 05:00:23,533 - pyskl - INFO - Epoch [28][2200/3746] lr: 9.188e-02, eta: 3 days, 9:16:52, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5066, loss_cls: 6.9737, loss: 6.9737 2023-12-30 05:01:23,749 - pyskl - INFO - Epoch [28][2300/3746] lr: 9.187e-02, eta: 3 days, 9:15:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5142, loss_cls: 6.9199, loss: 6.9199 2023-12-30 05:02:23,926 - pyskl - INFO - Epoch [28][2400/3746] lr: 9.185e-02, eta: 3 days, 9:14:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5212, loss_cls: 6.9262, loss: 6.9262 2023-12-30 05:03:24,348 - pyskl - INFO - Epoch [28][2500/3746] lr: 9.184e-02, eta: 3 days, 9:12:53, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5214, loss_cls: 6.9503, loss: 6.9503 2023-12-30 05:04:25,608 - pyskl - INFO - Epoch [28][2600/3746] lr: 9.182e-02, eta: 3 days, 9:11:38, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5102, loss_cls: 6.9706, loss: 6.9706 2023-12-30 05:05:26,868 - pyskl - INFO - Epoch [28][2700/3746] lr: 9.181e-02, eta: 3 days, 9:10:23, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5162, loss_cls: 6.9344, loss: 6.9344 2023-12-30 05:06:27,496 - pyskl - INFO - Epoch [28][2800/3746] lr: 9.179e-02, eta: 3 days, 9:09:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.4981, loss_cls: 7.0080, loss: 7.0080 2023-12-30 05:07:28,459 - pyskl - INFO - Epoch [28][2900/3746] lr: 9.178e-02, eta: 3 days, 9:07:49, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5134, loss_cls: 6.9336, loss: 6.9336 2023-12-30 05:08:29,881 - pyskl - INFO - Epoch [28][3000/3746] lr: 9.176e-02, eta: 3 days, 9:06:35, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5136, loss_cls: 6.9492, loss: 6.9492 2023-12-30 05:09:30,421 - pyskl - INFO - Epoch [28][3100/3746] lr: 9.175e-02, eta: 3 days, 9:05:17, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5236, loss_cls: 6.9176, loss: 6.9176 2023-12-30 05:10:31,316 - pyskl - INFO - Epoch [28][3200/3746] lr: 9.173e-02, eta: 3 days, 9:04:00, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5116, loss_cls: 6.9723, loss: 6.9723 2023-12-30 05:11:32,220 - pyskl - INFO - Epoch [28][3300/3746] lr: 9.172e-02, eta: 3 days, 9:02:44, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5098, loss_cls: 6.9608, loss: 6.9608 2023-12-30 05:12:32,650 - pyskl - INFO - Epoch [28][3400/3746] lr: 9.170e-02, eta: 3 days, 9:01:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.5088, loss_cls: 7.0123, loss: 7.0123 2023-12-30 05:13:32,497 - pyskl - INFO - Epoch [28][3500/3746] lr: 9.168e-02, eta: 3 days, 9:00:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5208, loss_cls: 6.9106, loss: 6.9106 2023-12-30 05:14:32,404 - pyskl - INFO - Epoch [28][3600/3746] lr: 9.167e-02, eta: 3 days, 8:58:44, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5173, loss_cls: 6.9357, loss: 6.9357 2023-12-30 05:15:32,796 - pyskl - INFO - Epoch [28][3700/3746] lr: 9.165e-02, eta: 3 days, 8:57:25, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5200, loss_cls: 6.9120, loss: 6.9120 2023-12-30 05:16:03,171 - pyskl - INFO - Saving checkpoint at 28 epochs 2023-12-30 05:18:03,196 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 05:18:03,981 - pyskl - INFO - top1_acc 0.1838 top5_acc 0.4044 2023-12-30 05:18:03,981 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 05:18:04,012 - pyskl - INFO - mean_acc 0.1836 2023-12-30 05:18:04,020 - pyskl - INFO - Epoch(val) [28][309] top1_acc: 0.1838, top5_acc: 0.4044, mean_class_accuracy: 0.1836 2023-12-30 05:21:26,063 - pyskl - INFO - Epoch [29][100/3746] lr: 9.163e-02, eta: 3 days, 9:03:46, time: 2.020, data_time: 1.425, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5255, loss_cls: 6.8861, loss: 6.8861 2023-12-30 05:22:25,790 - pyskl - INFO - Epoch [29][200/3746] lr: 9.162e-02, eta: 3 days, 9:02:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5183, loss_cls: 6.9217, loss: 6.9217 2023-12-30 05:23:26,915 - pyskl - INFO - Epoch [29][300/3746] lr: 9.160e-02, eta: 3 days, 9:01:09, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5186, loss_cls: 6.9176, loss: 6.9176 2023-12-30 05:24:27,567 - pyskl - INFO - Epoch [29][400/3746] lr: 9.158e-02, eta: 3 days, 8:59:51, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5181, loss_cls: 6.9148, loss: 6.9148 2023-12-30 05:25:28,232 - pyskl - INFO - Epoch [29][500/3746] lr: 9.157e-02, eta: 3 days, 8:58:33, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5331, loss_cls: 6.8959, loss: 6.8959 2023-12-30 05:26:28,989 - pyskl - INFO - Epoch [29][600/3746] lr: 9.155e-02, eta: 3 days, 8:57:16, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5084, loss_cls: 6.9826, loss: 6.9826 2023-12-30 05:27:29,467 - pyskl - INFO - Epoch [29][700/3746] lr: 9.154e-02, eta: 3 days, 8:55:58, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5156, loss_cls: 6.9451, loss: 6.9451 2023-12-30 05:28:30,145 - pyskl - INFO - Epoch [29][800/3746] lr: 9.152e-02, eta: 3 days, 8:54:40, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5153, loss_cls: 6.9430, loss: 6.9430 2023-12-30 05:29:31,216 - pyskl - INFO - Epoch [29][900/3746] lr: 9.151e-02, eta: 3 days, 8:53:24, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5220, loss_cls: 6.9272, loss: 6.9272 2023-12-30 05:30:32,011 - pyskl - INFO - Epoch [29][1000/3746] lr: 9.149e-02, eta: 3 days, 8:52:07, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5127, loss_cls: 6.9326, loss: 6.9326 2023-12-30 05:31:32,406 - pyskl - INFO - Epoch [29][1100/3746] lr: 9.148e-02, eta: 3 days, 8:50:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5172, loss_cls: 6.9628, loss: 6.9628 2023-12-30 05:32:33,403 - pyskl - INFO - Epoch [29][1200/3746] lr: 9.146e-02, eta: 3 days, 8:49:32, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5217, loss_cls: 6.8980, loss: 6.8980 2023-12-30 05:33:34,188 - pyskl - INFO - Epoch [29][1300/3746] lr: 9.144e-02, eta: 3 days, 8:48:16, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5180, loss_cls: 6.9187, loss: 6.9187 2023-12-30 05:34:34,941 - pyskl - INFO - Epoch [29][1400/3746] lr: 9.143e-02, eta: 3 days, 8:46:59, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5150, loss_cls: 6.9597, loss: 6.9597 2023-12-30 05:35:35,743 - pyskl - INFO - Epoch [29][1500/3746] lr: 9.141e-02, eta: 3 days, 8:45:42, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5167, loss_cls: 6.9426, loss: 6.9426 2023-12-30 05:36:36,878 - pyskl - INFO - Epoch [29][1600/3746] lr: 9.140e-02, eta: 3 days, 8:44:26, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5216, loss_cls: 6.9205, loss: 6.9205 2023-12-30 05:37:37,749 - pyskl - INFO - Epoch [29][1700/3746] lr: 9.138e-02, eta: 3 days, 8:43:10, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5247, loss_cls: 6.9230, loss: 6.9230 2023-12-30 05:38:38,755 - pyskl - INFO - Epoch [29][1800/3746] lr: 9.137e-02, eta: 3 days, 8:41:54, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5186, loss_cls: 6.9222, loss: 6.9222 2023-12-30 05:39:39,655 - pyskl - INFO - Epoch [29][1900/3746] lr: 9.135e-02, eta: 3 days, 8:40:38, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5189, loss_cls: 6.9467, loss: 6.9467 2023-12-30 05:40:40,415 - pyskl - INFO - Epoch [29][2000/3746] lr: 9.133e-02, eta: 3 days, 8:39:21, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5128, loss_cls: 6.9568, loss: 6.9568 2023-12-30 05:41:41,631 - pyskl - INFO - Epoch [29][2100/3746] lr: 9.132e-02, eta: 3 days, 8:38:06, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5161, loss_cls: 6.9365, loss: 6.9365 2023-12-30 05:42:42,266 - pyskl - INFO - Epoch [29][2200/3746] lr: 9.130e-02, eta: 3 days, 8:36:49, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5217, loss_cls: 6.9228, loss: 6.9228 2023-12-30 05:43:42,581 - pyskl - INFO - Epoch [29][2300/3746] lr: 9.129e-02, eta: 3 days, 8:35:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5223, loss_cls: 6.9340, loss: 6.9340 2023-12-30 05:44:42,923 - pyskl - INFO - Epoch [29][2400/3746] lr: 9.127e-02, eta: 3 days, 8:34:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5128, loss_cls: 6.9595, loss: 6.9595 2023-12-30 05:45:43,549 - pyskl - INFO - Epoch [29][2500/3746] lr: 9.126e-02, eta: 3 days, 8:32:54, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5059, loss_cls: 6.9756, loss: 6.9756 2023-12-30 05:46:44,825 - pyskl - INFO - Epoch [29][2600/3746] lr: 9.124e-02, eta: 3 days, 8:31:40, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.4995, loss_cls: 7.0066, loss: 7.0066 2023-12-30 05:47:46,417 - pyskl - INFO - Epoch [29][2700/3746] lr: 9.122e-02, eta: 3 days, 8:30:27, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.2628, top5_acc: 0.5192, loss_cls: 6.9615, loss: 6.9615 2023-12-30 05:48:46,770 - pyskl - INFO - Epoch [29][2800/3746] lr: 9.121e-02, eta: 3 days, 8:29:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5197, loss_cls: 6.9253, loss: 6.9253 2023-12-30 05:49:47,403 - pyskl - INFO - Epoch [29][2900/3746] lr: 9.119e-02, eta: 3 days, 8:27:51, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5147, loss_cls: 6.9364, loss: 6.9364 2023-12-30 05:50:48,396 - pyskl - INFO - Epoch [29][3000/3746] lr: 9.118e-02, eta: 3 days, 8:26:36, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5194, loss_cls: 6.9199, loss: 6.9199 2023-12-30 05:51:49,107 - pyskl - INFO - Epoch [29][3100/3746] lr: 9.116e-02, eta: 3 days, 8:25:19, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5061, loss_cls: 7.0081, loss: 7.0081 2023-12-30 05:52:50,147 - pyskl - INFO - Epoch [29][3200/3746] lr: 9.114e-02, eta: 3 days, 8:24:04, time: 0.610, data_time: 0.001, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5056, loss_cls: 6.9933, loss: 6.9933 2023-12-30 05:53:50,472 - pyskl - INFO - Epoch [29][3300/3746] lr: 9.113e-02, eta: 3 days, 8:22:46, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5166, loss_cls: 6.9717, loss: 6.9717 2023-12-30 05:54:50,988 - pyskl - INFO - Epoch [29][3400/3746] lr: 9.111e-02, eta: 3 days, 8:21:28, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5108, loss_cls: 6.9513, loss: 6.9513 2023-12-30 05:55:51,297 - pyskl - INFO - Epoch [29][3500/3746] lr: 9.110e-02, eta: 3 days, 8:20:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5112, loss_cls: 6.9403, loss: 6.9403 2023-12-30 05:56:51,726 - pyskl - INFO - Epoch [29][3600/3746] lr: 9.108e-02, eta: 3 days, 8:18:52, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5181, loss_cls: 6.9214, loss: 6.9214 2023-12-30 05:57:51,926 - pyskl - INFO - Epoch [29][3700/3746] lr: 9.106e-02, eta: 3 days, 8:17:33, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5131, loss_cls: 6.9688, loss: 6.9688 2023-12-30 05:58:22,055 - pyskl - INFO - Saving checkpoint at 29 epochs 2023-12-30 06:00:20,972 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 06:00:21,769 - pyskl - INFO - top1_acc 0.1969 top5_acc 0.4235 2023-12-30 06:00:21,769 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 06:00:21,802 - pyskl - INFO - mean_acc 0.1967 2023-12-30 06:00:21,809 - pyskl - INFO - Epoch(val) [29][309] top1_acc: 0.1969, top5_acc: 0.4235, mean_class_accuracy: 0.1967 2023-12-30 06:03:40,566 - pyskl - INFO - Epoch [30][100/3746] lr: 9.104e-02, eta: 3 days, 8:23:21, time: 1.987, data_time: 1.393, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5250, loss_cls: 6.9171, loss: 6.9171 2023-12-30 06:04:40,291 - pyskl - INFO - Epoch [30][200/3746] lr: 9.103e-02, eta: 3 days, 8:22:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5158, loss_cls: 6.9059, loss: 6.9059 2023-12-30 06:05:40,608 - pyskl - INFO - Epoch [30][300/3746] lr: 9.101e-02, eta: 3 days, 8:20:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5189, loss_cls: 6.9281, loss: 6.9281 2023-12-30 06:06:41,422 - pyskl - INFO - Epoch [30][400/3746] lr: 9.099e-02, eta: 3 days, 8:19:24, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5252, loss_cls: 6.8945, loss: 6.8945 2023-12-30 06:07:42,316 - pyskl - INFO - Epoch [30][500/3746] lr: 9.098e-02, eta: 3 days, 8:18:08, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5214, loss_cls: 6.9183, loss: 6.9183 2023-12-30 06:08:43,075 - pyskl - INFO - Epoch [30][600/3746] lr: 9.096e-02, eta: 3 days, 8:16:52, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5202, loss_cls: 6.9213, loss: 6.9213 2023-12-30 06:09:43,428 - pyskl - INFO - Epoch [30][700/3746] lr: 9.095e-02, eta: 3 days, 8:15:33, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5183, loss_cls: 6.9496, loss: 6.9496 2023-12-30 06:10:44,116 - pyskl - INFO - Epoch [30][800/3746] lr: 9.093e-02, eta: 3 days, 8:14:16, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5188, loss_cls: 6.9507, loss: 6.9507 2023-12-30 06:11:44,722 - pyskl - INFO - Epoch [30][900/3746] lr: 9.091e-02, eta: 3 days, 8:12:59, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5194, loss_cls: 6.9183, loss: 6.9183 2023-12-30 06:12:45,480 - pyskl - INFO - Epoch [30][1000/3746] lr: 9.090e-02, eta: 3 days, 8:11:43, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5255, loss_cls: 6.9026, loss: 6.9026 2023-12-30 06:13:45,946 - pyskl - INFO - Epoch [30][1100/3746] lr: 9.088e-02, eta: 3 days, 8:10:25, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5139, loss_cls: 6.9247, loss: 6.9247 2023-12-30 06:14:46,534 - pyskl - INFO - Epoch [30][1200/3746] lr: 9.087e-02, eta: 3 days, 8:09:08, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5156, loss_cls: 6.9535, loss: 6.9535 2023-12-30 06:15:47,043 - pyskl - INFO - Epoch [30][1300/3746] lr: 9.085e-02, eta: 3 days, 8:07:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5205, loss_cls: 6.9347, loss: 6.9347 2023-12-30 06:16:47,528 - pyskl - INFO - Epoch [30][1400/3746] lr: 9.083e-02, eta: 3 days, 8:06:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5350, loss_cls: 6.8654, loss: 6.8654 2023-12-30 06:17:47,967 - pyskl - INFO - Epoch [30][1500/3746] lr: 9.082e-02, eta: 3 days, 8:05:15, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5130, loss_cls: 6.9578, loss: 6.9578 2023-12-30 06:18:48,336 - pyskl - INFO - Epoch [30][1600/3746] lr: 9.080e-02, eta: 3 days, 8:03:57, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5125, loss_cls: 6.9799, loss: 6.9799 2023-12-30 06:19:48,806 - pyskl - INFO - Epoch [30][1700/3746] lr: 9.078e-02, eta: 3 days, 8:02:40, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5202, loss_cls: 6.9111, loss: 6.9111 2023-12-30 06:20:49,057 - pyskl - INFO - Epoch [30][1800/3746] lr: 9.077e-02, eta: 3 days, 8:01:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5162, loss_cls: 6.9159, loss: 6.9159 2023-12-30 06:21:48,921 - pyskl - INFO - Epoch [30][1900/3746] lr: 9.075e-02, eta: 3 days, 8:00:01, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5198, loss_cls: 6.9418, loss: 6.9418 2023-12-30 06:22:49,189 - pyskl - INFO - Epoch [30][2000/3746] lr: 9.074e-02, eta: 3 days, 7:58:43, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5083, loss_cls: 6.9900, loss: 6.9900 2023-12-30 06:23:49,416 - pyskl - INFO - Epoch [30][2100/3746] lr: 9.072e-02, eta: 3 days, 7:57:25, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5130, loss_cls: 6.9740, loss: 6.9740 2023-12-30 06:24:50,095 - pyskl - INFO - Epoch [30][2200/3746] lr: 9.070e-02, eta: 3 days, 7:56:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5064, loss_cls: 7.0048, loss: 7.0048 2023-12-30 06:25:50,910 - pyskl - INFO - Epoch [30][2300/3746] lr: 9.069e-02, eta: 3 days, 7:54:52, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5255, loss_cls: 6.8966, loss: 6.8966 2023-12-30 06:26:52,130 - pyskl - INFO - Epoch [30][2400/3746] lr: 9.067e-02, eta: 3 days, 7:53:38, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5047, loss_cls: 6.9815, loss: 6.9815 2023-12-30 06:27:53,770 - pyskl - INFO - Epoch [30][2500/3746] lr: 9.065e-02, eta: 3 days, 7:52:25, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5148, loss_cls: 6.9306, loss: 6.9306 2023-12-30 06:28:55,318 - pyskl - INFO - Epoch [30][2600/3746] lr: 9.064e-02, eta: 3 days, 7:51:13, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5253, loss_cls: 6.8874, loss: 6.8874 2023-12-30 06:29:56,188 - pyskl - INFO - Epoch [30][2700/3746] lr: 9.062e-02, eta: 3 days, 7:49:57, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5180, loss_cls: 6.9457, loss: 6.9457 2023-12-30 06:30:57,020 - pyskl - INFO - Epoch [30][2800/3746] lr: 9.061e-02, eta: 3 days, 7:48:41, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5183, loss_cls: 6.9236, loss: 6.9236 2023-12-30 06:31:57,611 - pyskl - INFO - Epoch [30][2900/3746] lr: 9.059e-02, eta: 3 days, 7:47:25, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5106, loss_cls: 6.9543, loss: 6.9543 2023-12-30 06:32:58,624 - pyskl - INFO - Epoch [30][3000/3746] lr: 9.057e-02, eta: 3 days, 7:46:10, time: 0.610, data_time: 0.001, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5153, loss_cls: 6.9472, loss: 6.9472 2023-12-30 06:33:59,544 - pyskl - INFO - Epoch [30][3100/3746] lr: 9.056e-02, eta: 3 days, 7:44:54, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5145, loss_cls: 6.9305, loss: 6.9305 2023-12-30 06:35:00,273 - pyskl - INFO - Epoch [30][3200/3746] lr: 9.054e-02, eta: 3 days, 7:43:38, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5127, loss_cls: 6.9509, loss: 6.9509 2023-12-30 06:36:00,732 - pyskl - INFO - Epoch [30][3300/3746] lr: 9.052e-02, eta: 3 days, 7:42:21, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5105, loss_cls: 6.9595, loss: 6.9595 2023-12-30 06:37:01,028 - pyskl - INFO - Epoch [30][3400/3746] lr: 9.051e-02, eta: 3 days, 7:41:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5205, loss_cls: 6.9242, loss: 6.9242 2023-12-30 06:38:01,337 - pyskl - INFO - Epoch [30][3500/3746] lr: 9.049e-02, eta: 3 days, 7:39:46, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5200, loss_cls: 6.9432, loss: 6.9432 2023-12-30 06:39:01,542 - pyskl - INFO - Epoch [30][3600/3746] lr: 9.047e-02, eta: 3 days, 7:38:28, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5192, loss_cls: 6.9484, loss: 6.9484 2023-12-30 06:40:01,770 - pyskl - INFO - Epoch [30][3700/3746] lr: 9.046e-02, eta: 3 days, 7:37:10, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5211, loss_cls: 6.9006, loss: 6.9006 2023-12-30 06:40:32,353 - pyskl - INFO - Saving checkpoint at 30 epochs 2023-12-30 06:42:33,228 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 06:42:34,281 - pyskl - INFO - top1_acc 0.1920 top5_acc 0.4117 2023-12-30 06:42:34,281 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 06:42:34,320 - pyskl - INFO - mean_acc 0.1917 2023-12-30 06:42:34,329 - pyskl - INFO - Epoch(val) [30][309] top1_acc: 0.1920, top5_acc: 0.4117, mean_class_accuracy: 0.1917 2023-12-30 06:46:00,799 - pyskl - INFO - Epoch [31][100/3746] lr: 9.043e-02, eta: 3 days, 7:43:10, time: 2.065, data_time: 1.470, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5328, loss_cls: 6.8487, loss: 6.8487 2023-12-30 06:47:00,583 - pyskl - INFO - Epoch [31][200/3746] lr: 9.042e-02, eta: 3 days, 7:41:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5152, loss_cls: 6.9365, loss: 6.9365 2023-12-30 06:48:00,685 - pyskl - INFO - Epoch [31][300/3746] lr: 9.040e-02, eta: 3 days, 7:40:31, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5033, loss_cls: 6.9859, loss: 6.9859 2023-12-30 06:49:00,971 - pyskl - INFO - Epoch [31][400/3746] lr: 9.039e-02, eta: 3 days, 7:39:13, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5172, loss_cls: 6.9218, loss: 6.9218 2023-12-30 06:50:01,310 - pyskl - INFO - Epoch [31][500/3746] lr: 9.037e-02, eta: 3 days, 7:37:55, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5194, loss_cls: 6.9231, loss: 6.9231 2023-12-30 06:51:01,352 - pyskl - INFO - Epoch [31][600/3746] lr: 9.035e-02, eta: 3 days, 7:36:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5194, loss_cls: 6.9242, loss: 6.9242 2023-12-30 06:52:01,705 - pyskl - INFO - Epoch [31][700/3746] lr: 9.034e-02, eta: 3 days, 7:35:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5170, loss_cls: 6.9493, loss: 6.9493 2023-12-30 06:53:02,037 - pyskl - INFO - Epoch [31][800/3746] lr: 9.032e-02, eta: 3 days, 7:34:01, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5261, loss_cls: 6.8948, loss: 6.8948 2023-12-30 06:54:02,506 - pyskl - INFO - Epoch [31][900/3746] lr: 9.030e-02, eta: 3 days, 7:32:43, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5141, loss_cls: 6.9384, loss: 6.9384 2023-12-30 06:55:03,228 - pyskl - INFO - Epoch [31][1000/3746] lr: 9.029e-02, eta: 3 days, 7:31:27, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5127, loss_cls: 6.9438, loss: 6.9438 2023-12-30 06:56:03,746 - pyskl - INFO - Epoch [31][1100/3746] lr: 9.027e-02, eta: 3 days, 7:30:10, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5258, loss_cls: 6.9098, loss: 6.9098 2023-12-30 06:57:04,468 - pyskl - INFO - Epoch [31][1200/3746] lr: 9.025e-02, eta: 3 days, 7:28:54, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5147, loss_cls: 6.9675, loss: 6.9675 2023-12-30 06:58:05,393 - pyskl - INFO - Epoch [31][1300/3746] lr: 9.024e-02, eta: 3 days, 7:27:39, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5227, loss_cls: 6.9043, loss: 6.9043 2023-12-30 06:59:06,386 - pyskl - INFO - Epoch [31][1400/3746] lr: 9.022e-02, eta: 3 days, 7:26:24, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5250, loss_cls: 6.8862, loss: 6.8862 2023-12-30 07:00:07,413 - pyskl - INFO - Epoch [31][1500/3746] lr: 9.020e-02, eta: 3 days, 7:25:09, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5145, loss_cls: 6.9457, loss: 6.9457 2023-12-30 07:01:08,470 - pyskl - INFO - Epoch [31][1600/3746] lr: 9.019e-02, eta: 3 days, 7:23:55, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5225, loss_cls: 6.9251, loss: 6.9251 2023-12-30 07:02:08,920 - pyskl - INFO - Epoch [31][1700/3746] lr: 9.017e-02, eta: 3 days, 7:22:38, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5278, loss_cls: 6.9217, loss: 6.9217 2023-12-30 07:03:09,572 - pyskl - INFO - Epoch [31][1800/3746] lr: 9.015e-02, eta: 3 days, 7:21:21, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5238, loss_cls: 6.9009, loss: 6.9009 2023-12-30 07:04:10,015 - pyskl - INFO - Epoch [31][1900/3746] lr: 9.014e-02, eta: 3 days, 7:20:04, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5170, loss_cls: 6.9220, loss: 6.9220 2023-12-30 07:05:10,476 - pyskl - INFO - Epoch [31][2000/3746] lr: 9.012e-02, eta: 3 days, 7:18:47, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5203, loss_cls: 6.9327, loss: 6.9327 2023-12-30 07:06:10,832 - pyskl - INFO - Epoch [31][2100/3746] lr: 9.010e-02, eta: 3 days, 7:17:30, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5117, loss_cls: 6.9551, loss: 6.9551 2023-12-30 07:07:11,225 - pyskl - INFO - Epoch [31][2200/3746] lr: 9.009e-02, eta: 3 days, 7:16:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5094, loss_cls: 6.9518, loss: 6.9518 2023-12-30 07:08:12,213 - pyskl - INFO - Epoch [31][2300/3746] lr: 9.007e-02, eta: 3 days, 7:14:58, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5156, loss_cls: 6.9640, loss: 6.9640 2023-12-30 07:09:13,191 - pyskl - INFO - Epoch [31][2400/3746] lr: 9.005e-02, eta: 3 days, 7:13:44, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5322, loss_cls: 6.8641, loss: 6.8641 2023-12-30 07:10:15,010 - pyskl - INFO - Epoch [31][2500/3746] lr: 9.004e-02, eta: 3 days, 7:12:32, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5094, loss_cls: 6.9420, loss: 6.9420 2023-12-30 07:11:16,812 - pyskl - INFO - Epoch [31][2600/3746] lr: 9.002e-02, eta: 3 days, 7:11:21, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5159, loss_cls: 6.9211, loss: 6.9211 2023-12-30 07:12:17,768 - pyskl - INFO - Epoch [31][2700/3746] lr: 9.000e-02, eta: 3 days, 7:10:06, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5133, loss_cls: 6.9666, loss: 6.9666 2023-12-30 07:13:19,189 - pyskl - INFO - Epoch [31][2800/3746] lr: 8.999e-02, eta: 3 days, 7:08:53, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5147, loss_cls: 6.9414, loss: 6.9414 2023-12-30 07:14:20,455 - pyskl - INFO - Epoch [31][2900/3746] lr: 8.997e-02, eta: 3 days, 7:07:39, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5231, loss_cls: 6.9285, loss: 6.9285 2023-12-30 07:15:21,035 - pyskl - INFO - Epoch [31][3000/3746] lr: 8.995e-02, eta: 3 days, 7:06:23, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5186, loss_cls: 6.9429, loss: 6.9429 2023-12-30 07:16:21,451 - pyskl - INFO - Epoch [31][3100/3746] lr: 8.994e-02, eta: 3 days, 7:05:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5155, loss_cls: 6.9427, loss: 6.9427 2023-12-30 07:17:21,767 - pyskl - INFO - Epoch [31][3200/3746] lr: 8.992e-02, eta: 3 days, 7:03:49, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5159, loss_cls: 6.9428, loss: 6.9428 2023-12-30 07:18:22,291 - pyskl - INFO - Epoch [31][3300/3746] lr: 8.990e-02, eta: 3 days, 7:02:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5247, loss_cls: 6.9079, loss: 6.9079 2023-12-30 07:19:22,142 - pyskl - INFO - Epoch [31][3400/3746] lr: 8.989e-02, eta: 3 days, 7:01:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5169, loss_cls: 6.9168, loss: 6.9168 2023-12-30 07:20:22,379 - pyskl - INFO - Epoch [31][3500/3746] lr: 8.987e-02, eta: 3 days, 6:59:57, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5131, loss_cls: 6.9556, loss: 6.9556 2023-12-30 07:21:22,704 - pyskl - INFO - Epoch [31][3600/3746] lr: 8.985e-02, eta: 3 days, 6:58:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5291, loss_cls: 6.9270, loss: 6.9270 2023-12-30 07:22:22,861 - pyskl - INFO - Epoch [31][3700/3746] lr: 8.983e-02, eta: 3 days, 6:57:22, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5159, loss_cls: 6.9575, loss: 6.9575 2023-12-30 07:22:53,101 - pyskl - INFO - Saving checkpoint at 31 epochs 2023-12-30 07:24:50,955 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 07:24:51,757 - pyskl - INFO - top1_acc 0.1921 top5_acc 0.4256 2023-12-30 07:24:51,757 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 07:24:51,788 - pyskl - INFO - mean_acc 0.1917 2023-12-30 07:24:51,795 - pyskl - INFO - Epoch(val) [31][309] top1_acc: 0.1921, top5_acc: 0.4256, mean_class_accuracy: 0.1917 2023-12-30 07:28:08,530 - pyskl - INFO - Epoch [32][100/3746] lr: 8.981e-02, eta: 3 days, 7:02:26, time: 1.967, data_time: 1.374, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5258, loss_cls: 6.8953, loss: 6.8953 2023-12-30 07:29:08,164 - pyskl - INFO - Epoch [32][200/3746] lr: 8.979e-02, eta: 3 days, 7:01:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5272, loss_cls: 6.9155, loss: 6.9155 2023-12-30 07:30:08,020 - pyskl - INFO - Epoch [32][300/3746] lr: 8.978e-02, eta: 3 days, 6:59:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5223, loss_cls: 6.9049, loss: 6.9049 2023-12-30 07:31:08,180 - pyskl - INFO - Epoch [32][400/3746] lr: 8.976e-02, eta: 3 days, 6:58:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5297, loss_cls: 6.9043, loss: 6.9043 2023-12-30 07:32:08,914 - pyskl - INFO - Epoch [32][500/3746] lr: 8.974e-02, eta: 3 days, 6:57:14, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5241, loss_cls: 6.9100, loss: 6.9100 2023-12-30 07:33:09,406 - pyskl - INFO - Epoch [32][600/3746] lr: 8.973e-02, eta: 3 days, 6:55:57, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5180, loss_cls: 6.9297, loss: 6.9297 2023-12-30 07:34:10,032 - pyskl - INFO - Epoch [32][700/3746] lr: 8.971e-02, eta: 3 days, 6:54:41, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5234, loss_cls: 6.8952, loss: 6.8952 2023-12-30 07:35:10,852 - pyskl - INFO - Epoch [32][800/3746] lr: 8.969e-02, eta: 3 days, 6:53:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5153, loss_cls: 6.9348, loss: 6.9348 2023-12-30 07:36:10,984 - pyskl - INFO - Epoch [32][900/3746] lr: 8.967e-02, eta: 3 days, 6:52:08, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5142, loss_cls: 6.9405, loss: 6.9405 2023-12-30 07:37:11,554 - pyskl - INFO - Epoch [32][1000/3746] lr: 8.966e-02, eta: 3 days, 6:50:52, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5191, loss_cls: 6.9202, loss: 6.9202 2023-12-30 07:38:12,059 - pyskl - INFO - Epoch [32][1100/3746] lr: 8.964e-02, eta: 3 days, 6:49:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5302, loss_cls: 6.8790, loss: 6.8790 2023-12-30 07:39:12,549 - pyskl - INFO - Epoch [32][1200/3746] lr: 8.962e-02, eta: 3 days, 6:48:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5186, loss_cls: 6.9067, loss: 6.9067 2023-12-30 07:40:13,013 - pyskl - INFO - Epoch [32][1300/3746] lr: 8.961e-02, eta: 3 days, 6:47:02, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5200, loss_cls: 6.9244, loss: 6.9244 2023-12-30 07:41:13,627 - pyskl - INFO - Epoch [32][1400/3746] lr: 8.959e-02, eta: 3 days, 6:45:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5211, loss_cls: 6.9194, loss: 6.9194 2023-12-30 07:42:13,888 - pyskl - INFO - Epoch [32][1500/3746] lr: 8.957e-02, eta: 3 days, 6:44:29, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5241, loss_cls: 6.9174, loss: 6.9174 2023-12-30 07:43:14,164 - pyskl - INFO - Epoch [32][1600/3746] lr: 8.955e-02, eta: 3 days, 6:43:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5017, loss_cls: 7.0051, loss: 7.0051 2023-12-30 07:44:14,815 - pyskl - INFO - Epoch [32][1700/3746] lr: 8.954e-02, eta: 3 days, 6:41:57, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5255, loss_cls: 6.8945, loss: 6.8945 2023-12-30 07:45:15,147 - pyskl - INFO - Epoch [32][1800/3746] lr: 8.952e-02, eta: 3 days, 6:40:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5266, loss_cls: 6.9050, loss: 6.9050 2023-12-30 07:46:15,227 - pyskl - INFO - Epoch [32][1900/3746] lr: 8.950e-02, eta: 3 days, 6:39:22, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5133, loss_cls: 6.9450, loss: 6.9450 2023-12-30 07:47:15,641 - pyskl - INFO - Epoch [32][2000/3746] lr: 8.949e-02, eta: 3 days, 6:38:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5097, loss_cls: 6.9543, loss: 6.9543 2023-12-30 07:48:15,789 - pyskl - INFO - Epoch [32][2100/3746] lr: 8.947e-02, eta: 3 days, 6:36:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5247, loss_cls: 6.9264, loss: 6.9264 2023-12-30 07:49:16,056 - pyskl - INFO - Epoch [32][2200/3746] lr: 8.945e-02, eta: 3 days, 6:35:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5241, loss_cls: 6.9000, loss: 6.9000 2023-12-30 07:50:16,671 - pyskl - INFO - Epoch [32][2300/3746] lr: 8.943e-02, eta: 3 days, 6:34:15, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5111, loss_cls: 6.9570, loss: 6.9570 2023-12-30 07:51:17,891 - pyskl - INFO - Epoch [32][2400/3746] lr: 8.942e-02, eta: 3 days, 6:33:02, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5164, loss_cls: 6.9144, loss: 6.9144 2023-12-30 07:52:19,668 - pyskl - INFO - Epoch [32][2500/3746] lr: 8.940e-02, eta: 3 days, 6:31:51, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5272, loss_cls: 6.8962, loss: 6.8962 2023-12-30 07:53:20,626 - pyskl - INFO - Epoch [32][2600/3746] lr: 8.938e-02, eta: 3 days, 6:30:36, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2558, top5_acc: 0.5052, loss_cls: 7.0039, loss: 7.0039 2023-12-30 07:54:21,406 - pyskl - INFO - Epoch [32][2700/3746] lr: 8.937e-02, eta: 3 days, 6:29:21, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5158, loss_cls: 6.9061, loss: 6.9061 2023-12-30 07:55:22,734 - pyskl - INFO - Epoch [32][2800/3746] lr: 8.935e-02, eta: 3 days, 6:28:09, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5277, loss_cls: 6.9009, loss: 6.9009 2023-12-30 07:56:23,101 - pyskl - INFO - Epoch [32][2900/3746] lr: 8.933e-02, eta: 3 days, 6:26:52, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5194, loss_cls: 6.9325, loss: 6.9325 2023-12-30 07:57:23,488 - pyskl - INFO - Epoch [32][3000/3746] lr: 8.931e-02, eta: 3 days, 6:25:36, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5150, loss_cls: 6.9453, loss: 6.9453 2023-12-30 07:58:23,883 - pyskl - INFO - Epoch [32][3100/3746] lr: 8.930e-02, eta: 3 days, 6:24:19, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5184, loss_cls: 6.9261, loss: 6.9261 2023-12-30 07:59:24,090 - pyskl - INFO - Epoch [32][3200/3746] lr: 8.928e-02, eta: 3 days, 6:23:03, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5038, loss_cls: 6.9598, loss: 6.9598 2023-12-30 08:00:24,374 - pyskl - INFO - Epoch [32][3300/3746] lr: 8.926e-02, eta: 3 days, 6:21:46, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5153, loss_cls: 6.9715, loss: 6.9715 2023-12-30 08:01:24,750 - pyskl - INFO - Epoch [32][3400/3746] lr: 8.924e-02, eta: 3 days, 6:20:30, time: 0.604, data_time: 0.001, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5094, loss_cls: 6.9386, loss: 6.9386 2023-12-30 08:02:24,884 - pyskl - INFO - Epoch [32][3500/3746] lr: 8.923e-02, eta: 3 days, 6:19:12, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5164, loss_cls: 6.9484, loss: 6.9484 2023-12-30 08:03:24,747 - pyskl - INFO - Epoch [32][3600/3746] lr: 8.921e-02, eta: 3 days, 6:17:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5153, loss_cls: 6.9406, loss: 6.9406 2023-12-30 08:04:25,168 - pyskl - INFO - Epoch [32][3700/3746] lr: 8.919e-02, eta: 3 days, 6:16:38, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5205, loss_cls: 6.8987, loss: 6.8987 2023-12-30 08:04:55,354 - pyskl - INFO - Saving checkpoint at 32 epochs 2023-12-30 08:06:55,266 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 08:06:56,050 - pyskl - INFO - top1_acc 0.1982 top5_acc 0.4300 2023-12-30 08:06:56,050 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 08:06:56,081 - pyskl - INFO - mean_acc 0.1982 2023-12-30 08:06:56,088 - pyskl - INFO - Epoch(val) [32][309] top1_acc: 0.1982, top5_acc: 0.4300, mean_class_accuracy: 0.1982 2023-12-30 08:10:13,612 - pyskl - INFO - Epoch [33][100/3746] lr: 8.917e-02, eta: 3 days, 6:21:30, time: 1.975, data_time: 1.382, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5344, loss_cls: 6.8888, loss: 6.8888 2023-12-30 08:11:13,425 - pyskl - INFO - Epoch [33][200/3746] lr: 8.915e-02, eta: 3 days, 6:20:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5159, loss_cls: 6.9380, loss: 6.9380 2023-12-30 08:12:13,507 - pyskl - INFO - Epoch [33][300/3746] lr: 8.913e-02, eta: 3 days, 6:18:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5323, loss_cls: 6.8722, loss: 6.8722 2023-12-30 08:13:13,759 - pyskl - INFO - Epoch [33][400/3746] lr: 8.912e-02, eta: 3 days, 6:17:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5211, loss_cls: 6.9258, loss: 6.9258 2023-12-30 08:14:14,103 - pyskl - INFO - Epoch [33][500/3746] lr: 8.910e-02, eta: 3 days, 6:16:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5145, loss_cls: 6.9548, loss: 6.9548 2023-12-30 08:15:14,487 - pyskl - INFO - Epoch [33][600/3746] lr: 8.908e-02, eta: 3 days, 6:15:04, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5267, loss_cls: 6.9082, loss: 6.9082 2023-12-30 08:16:15,432 - pyskl - INFO - Epoch [33][700/3746] lr: 8.906e-02, eta: 3 days, 6:13:50, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5253, loss_cls: 6.8625, loss: 6.8625 2023-12-30 08:17:15,601 - pyskl - INFO - Epoch [33][800/3746] lr: 8.905e-02, eta: 3 days, 6:12:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5272, loss_cls: 6.8798, loss: 6.8798 2023-12-30 08:18:15,933 - pyskl - INFO - Epoch [33][900/3746] lr: 8.903e-02, eta: 3 days, 6:11:16, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5094, loss_cls: 6.9853, loss: 6.9853 2023-12-30 08:19:16,393 - pyskl - INFO - Epoch [33][1000/3746] lr: 8.901e-02, eta: 3 days, 6:10:00, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5212, loss_cls: 6.9092, loss: 6.9092 2023-12-30 08:20:16,709 - pyskl - INFO - Epoch [33][1100/3746] lr: 8.899e-02, eta: 3 days, 6:08:43, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5156, loss_cls: 6.9196, loss: 6.9196 2023-12-30 08:21:17,280 - pyskl - INFO - Epoch [33][1200/3746] lr: 8.898e-02, eta: 3 days, 6:07:28, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5230, loss_cls: 6.8932, loss: 6.8932 2023-12-30 08:22:17,631 - pyskl - INFO - Epoch [33][1300/3746] lr: 8.896e-02, eta: 3 days, 6:06:11, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5228, loss_cls: 6.9204, loss: 6.9204 2023-12-30 08:23:17,700 - pyskl - INFO - Epoch [33][1400/3746] lr: 8.894e-02, eta: 3 days, 6:04:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5223, loss_cls: 6.9187, loss: 6.9187 2023-12-30 08:24:17,991 - pyskl - INFO - Epoch [33][1500/3746] lr: 8.892e-02, eta: 3 days, 6:03:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5144, loss_cls: 6.9641, loss: 6.9641 2023-12-30 08:25:18,284 - pyskl - INFO - Epoch [33][1600/3746] lr: 8.891e-02, eta: 3 days, 6:02:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5228, loss_cls: 6.9355, loss: 6.9355 2023-12-30 08:26:18,759 - pyskl - INFO - Epoch [33][1700/3746] lr: 8.889e-02, eta: 3 days, 6:01:05, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5197, loss_cls: 6.9071, loss: 6.9071 2023-12-30 08:27:19,047 - pyskl - INFO - Epoch [33][1800/3746] lr: 8.887e-02, eta: 3 days, 5:59:49, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5275, loss_cls: 6.8852, loss: 6.8852 2023-12-30 08:28:19,314 - pyskl - INFO - Epoch [33][1900/3746] lr: 8.885e-02, eta: 3 days, 5:58:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5331, loss_cls: 6.8574, loss: 6.8574 2023-12-30 08:29:19,698 - pyskl - INFO - Epoch [33][2000/3746] lr: 8.884e-02, eta: 3 days, 5:57:16, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5245, loss_cls: 6.8778, loss: 6.8778 2023-12-30 08:30:19,910 - pyskl - INFO - Epoch [33][2100/3746] lr: 8.882e-02, eta: 3 days, 5:56:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5359, loss_cls: 6.8786, loss: 6.8786 2023-12-30 08:31:20,576 - pyskl - INFO - Epoch [33][2200/3746] lr: 8.880e-02, eta: 3 days, 5:54:45, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5073, loss_cls: 6.9788, loss: 6.9788 2023-12-30 08:32:21,060 - pyskl - INFO - Epoch [33][2300/3746] lr: 8.878e-02, eta: 3 days, 5:53:29, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5167, loss_cls: 6.9273, loss: 6.9273 2023-12-30 08:33:22,245 - pyskl - INFO - Epoch [33][2400/3746] lr: 8.876e-02, eta: 3 days, 5:52:16, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5112, loss_cls: 6.9887, loss: 6.9887 2023-12-30 08:34:23,507 - pyskl - INFO - Epoch [33][2500/3746] lr: 8.875e-02, eta: 3 days, 5:51:03, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5230, loss_cls: 6.8908, loss: 6.8908 2023-12-30 08:35:23,894 - pyskl - INFO - Epoch [33][2600/3746] lr: 8.873e-02, eta: 3 days, 5:49:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5125, loss_cls: 6.9386, loss: 6.9386 2023-12-30 08:36:24,771 - pyskl - INFO - Epoch [33][2700/3746] lr: 8.871e-02, eta: 3 days, 5:48:33, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5248, loss_cls: 6.9221, loss: 6.9221 2023-12-30 08:37:26,069 - pyskl - INFO - Epoch [33][2800/3746] lr: 8.869e-02, eta: 3 days, 5:47:21, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5161, loss_cls: 6.9209, loss: 6.9209 2023-12-30 08:38:26,905 - pyskl - INFO - Epoch [33][2900/3746] lr: 8.868e-02, eta: 3 days, 5:46:06, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5105, loss_cls: 6.9092, loss: 6.9092 2023-12-30 08:39:27,870 - pyskl - INFO - Epoch [33][3000/3746] lr: 8.866e-02, eta: 3 days, 5:44:53, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5227, loss_cls: 6.9258, loss: 6.9258 2023-12-30 08:40:28,683 - pyskl - INFO - Epoch [33][3100/3746] lr: 8.864e-02, eta: 3 days, 5:43:38, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5242, loss_cls: 6.9284, loss: 6.9284 2023-12-30 08:41:29,025 - pyskl - INFO - Epoch [33][3200/3746] lr: 8.862e-02, eta: 3 days, 5:42:23, time: 0.603, data_time: 0.001, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5056, loss_cls: 6.9800, loss: 6.9800 2023-12-30 08:42:28,956 - pyskl - INFO - Epoch [33][3300/3746] lr: 8.861e-02, eta: 3 days, 5:41:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5275, loss_cls: 6.9072, loss: 6.9072 2023-12-30 08:43:29,012 - pyskl - INFO - Epoch [33][3400/3746] lr: 8.859e-02, eta: 3 days, 5:39:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5050, loss_cls: 6.9633, loss: 6.9633 2023-12-30 08:44:29,001 - pyskl - INFO - Epoch [33][3500/3746] lr: 8.857e-02, eta: 3 days, 5:38:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5286, loss_cls: 6.8774, loss: 6.8774 2023-12-30 08:45:29,320 - pyskl - INFO - Epoch [33][3600/3746] lr: 8.855e-02, eta: 3 days, 5:37:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5183, loss_cls: 6.9195, loss: 6.9195 2023-12-30 08:46:29,566 - pyskl - INFO - Epoch [33][3700/3746] lr: 8.853e-02, eta: 3 days, 5:35:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5231, loss_cls: 6.9091, loss: 6.9091 2023-12-30 08:46:59,826 - pyskl - INFO - Saving checkpoint at 33 epochs 2023-12-30 08:48:59,350 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 08:49:00,358 - pyskl - INFO - top1_acc 0.1860 top5_acc 0.3993 2023-12-30 08:49:00,358 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 08:49:00,388 - pyskl - INFO - mean_acc 0.1858 2023-12-30 08:49:00,396 - pyskl - INFO - Epoch(val) [33][309] top1_acc: 0.1860, top5_acc: 0.3993, mean_class_accuracy: 0.1858 2023-12-30 08:52:19,574 - pyskl - INFO - Epoch [34][100/3746] lr: 8.851e-02, eta: 3 days, 5:40:42, time: 1.992, data_time: 1.399, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5359, loss_cls: 6.8271, loss: 6.8271 2023-12-30 08:53:19,835 - pyskl - INFO - Epoch [34][200/3746] lr: 8.849e-02, eta: 3 days, 5:39:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5309, loss_cls: 6.8426, loss: 6.8426 2023-12-30 08:54:20,373 - pyskl - INFO - Epoch [34][300/3746] lr: 8.847e-02, eta: 3 days, 5:38:10, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5261, loss_cls: 6.8878, loss: 6.8878 2023-12-30 08:55:21,154 - pyskl - INFO - Epoch [34][400/3746] lr: 8.845e-02, eta: 3 days, 5:36:56, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5383, loss_cls: 6.8493, loss: 6.8493 2023-12-30 08:56:21,464 - pyskl - INFO - Epoch [34][500/3746] lr: 8.844e-02, eta: 3 days, 5:35:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5197, loss_cls: 6.8991, loss: 6.8991 2023-12-30 08:57:22,170 - pyskl - INFO - Epoch [34][600/3746] lr: 8.842e-02, eta: 3 days, 5:34:25, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5273, loss_cls: 6.8638, loss: 6.8638 2023-12-30 08:58:22,740 - pyskl - INFO - Epoch [34][700/3746] lr: 8.840e-02, eta: 3 days, 5:33:10, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5173, loss_cls: 6.9158, loss: 6.9158 2023-12-30 08:59:23,330 - pyskl - INFO - Epoch [34][800/3746] lr: 8.838e-02, eta: 3 days, 5:31:54, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5275, loss_cls: 6.8737, loss: 6.8737 2023-12-30 09:00:24,135 - pyskl - INFO - Epoch [34][900/3746] lr: 8.836e-02, eta: 3 days, 5:30:40, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5220, loss_cls: 6.9130, loss: 6.9130 2023-12-30 09:01:24,720 - pyskl - INFO - Epoch [34][1000/3746] lr: 8.835e-02, eta: 3 days, 5:29:25, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5133, loss_cls: 6.9592, loss: 6.9592 2023-12-30 09:02:24,996 - pyskl - INFO - Epoch [34][1100/3746] lr: 8.833e-02, eta: 3 days, 5:28:09, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5248, loss_cls: 6.8858, loss: 6.8858 2023-12-30 09:03:25,906 - pyskl - INFO - Epoch [34][1200/3746] lr: 8.831e-02, eta: 3 days, 5:26:55, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2855, top5_acc: 0.5319, loss_cls: 6.8586, loss: 6.8586 2023-12-30 09:04:26,869 - pyskl - INFO - Epoch [34][1300/3746] lr: 8.829e-02, eta: 3 days, 5:25:41, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5227, loss_cls: 6.9117, loss: 6.9117 2023-12-30 09:05:27,297 - pyskl - INFO - Epoch [34][1400/3746] lr: 8.828e-02, eta: 3 days, 5:24:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5250, loss_cls: 6.9237, loss: 6.9237 2023-12-30 09:06:27,818 - pyskl - INFO - Epoch [34][1500/3746] lr: 8.826e-02, eta: 3 days, 5:23:11, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5225, loss_cls: 6.9492, loss: 6.9492 2023-12-30 09:07:28,257 - pyskl - INFO - Epoch [34][1600/3746] lr: 8.824e-02, eta: 3 days, 5:21:55, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5203, loss_cls: 6.9149, loss: 6.9149 2023-12-30 09:08:28,554 - pyskl - INFO - Epoch [34][1700/3746] lr: 8.822e-02, eta: 3 days, 5:20:39, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5188, loss_cls: 6.9453, loss: 6.9453 2023-12-30 09:09:29,129 - pyskl - INFO - Epoch [34][1800/3746] lr: 8.820e-02, eta: 3 days, 5:19:24, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5230, loss_cls: 6.8778, loss: 6.8778 2023-12-30 09:10:29,759 - pyskl - INFO - Epoch [34][1900/3746] lr: 8.819e-02, eta: 3 days, 5:18:10, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5220, loss_cls: 6.9207, loss: 6.9207 2023-12-30 09:11:31,022 - pyskl - INFO - Epoch [34][2000/3746] lr: 8.817e-02, eta: 3 days, 5:16:57, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5169, loss_cls: 6.9261, loss: 6.9261 2023-12-30 09:12:32,086 - pyskl - INFO - Epoch [34][2100/3746] lr: 8.815e-02, eta: 3 days, 5:15:44, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5200, loss_cls: 6.9264, loss: 6.9264 2023-12-30 09:13:32,827 - pyskl - INFO - Epoch [34][2200/3746] lr: 8.813e-02, eta: 3 days, 5:14:30, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5238, loss_cls: 6.9087, loss: 6.9087 2023-12-30 09:14:34,114 - pyskl - INFO - Epoch [34][2300/3746] lr: 8.811e-02, eta: 3 days, 5:13:17, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5130, loss_cls: 6.9271, loss: 6.9271 2023-12-30 09:15:35,258 - pyskl - INFO - Epoch [34][2400/3746] lr: 8.809e-02, eta: 3 days, 5:12:05, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5083, loss_cls: 6.9480, loss: 6.9480 2023-12-30 09:16:36,347 - pyskl - INFO - Epoch [34][2500/3746] lr: 8.808e-02, eta: 3 days, 5:10:52, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5117, loss_cls: 6.9412, loss: 6.9412 2023-12-30 09:17:36,936 - pyskl - INFO - Epoch [34][2600/3746] lr: 8.806e-02, eta: 3 days, 5:09:37, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5133, loss_cls: 6.9723, loss: 6.9723 2023-12-30 09:18:37,852 - pyskl - INFO - Epoch [34][2700/3746] lr: 8.804e-02, eta: 3 days, 5:08:23, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2828, top5_acc: 0.5283, loss_cls: 6.8875, loss: 6.8875 2023-12-30 09:19:38,273 - pyskl - INFO - Epoch [34][2800/3746] lr: 8.802e-02, eta: 3 days, 5:07:08, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5205, loss_cls: 6.9118, loss: 6.9118 2023-12-30 09:20:38,944 - pyskl - INFO - Epoch [34][2900/3746] lr: 8.800e-02, eta: 3 days, 5:05:54, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5134, loss_cls: 6.9716, loss: 6.9716 2023-12-30 09:21:39,618 - pyskl - INFO - Epoch [34][3000/3746] lr: 8.799e-02, eta: 3 days, 5:04:39, time: 0.607, data_time: 0.001, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5139, loss_cls: 6.9519, loss: 6.9519 2023-12-30 09:22:40,495 - pyskl - INFO - Epoch [34][3100/3746] lr: 8.797e-02, eta: 3 days, 5:03:26, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5189, loss_cls: 6.9362, loss: 6.9362 2023-12-30 09:23:40,806 - pyskl - INFO - Epoch [34][3200/3746] lr: 8.795e-02, eta: 3 days, 5:02:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5178, loss_cls: 6.9206, loss: 6.9206 2023-12-30 09:24:40,948 - pyskl - INFO - Epoch [34][3300/3746] lr: 8.793e-02, eta: 3 days, 5:00:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5220, loss_cls: 6.9332, loss: 6.9332 2023-12-30 09:25:41,237 - pyskl - INFO - Epoch [34][3400/3746] lr: 8.791e-02, eta: 3 days, 4:59:39, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5192, loss_cls: 6.9269, loss: 6.9269 2023-12-30 09:26:41,288 - pyskl - INFO - Epoch [34][3500/3746] lr: 8.789e-02, eta: 3 days, 4:58:22, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5180, loss_cls: 6.8992, loss: 6.8992 2023-12-30 09:27:41,688 - pyskl - INFO - Epoch [34][3600/3746] lr: 8.788e-02, eta: 3 days, 4:57:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5122, loss_cls: 6.9431, loss: 6.9431 2023-12-30 09:28:41,988 - pyskl - INFO - Epoch [34][3700/3746] lr: 8.786e-02, eta: 3 days, 4:55:52, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5131, loss_cls: 6.9256, loss: 6.9256 2023-12-30 09:29:12,202 - pyskl - INFO - Saving checkpoint at 34 epochs 2023-12-30 09:31:11,415 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 09:31:12,452 - pyskl - INFO - top1_acc 0.1934 top5_acc 0.4292 2023-12-30 09:31:12,452 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 09:31:12,490 - pyskl - INFO - mean_acc 0.1932 2023-12-30 09:31:12,498 - pyskl - INFO - Epoch(val) [34][309] top1_acc: 0.1934, top5_acc: 0.4292, mean_class_accuracy: 0.1932 2023-12-30 09:34:35,301 - pyskl - INFO - Epoch [35][100/3746] lr: 8.783e-02, eta: 3 days, 5:00:33, time: 2.028, data_time: 1.434, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5284, loss_cls: 6.8712, loss: 6.8712 2023-12-30 09:35:35,057 - pyskl - INFO - Epoch [35][200/3746] lr: 8.781e-02, eta: 3 days, 4:59:15, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5220, loss_cls: 6.8955, loss: 6.8955 2023-12-30 09:36:35,178 - pyskl - INFO - Epoch [35][300/3746] lr: 8.780e-02, eta: 3 days, 4:57:59, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5123, loss_cls: 6.9605, loss: 6.9605 2023-12-30 09:37:35,362 - pyskl - INFO - Epoch [35][400/3746] lr: 8.778e-02, eta: 3 days, 4:56:43, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5303, loss_cls: 6.8888, loss: 6.8888 2023-12-30 09:38:35,984 - pyskl - INFO - Epoch [35][500/3746] lr: 8.776e-02, eta: 3 days, 4:55:28, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5283, loss_cls: 6.8975, loss: 6.8975 2023-12-30 09:39:36,204 - pyskl - INFO - Epoch [35][600/3746] lr: 8.774e-02, eta: 3 days, 4:54:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5233, loss_cls: 6.8906, loss: 6.8906 2023-12-30 09:40:36,422 - pyskl - INFO - Epoch [35][700/3746] lr: 8.772e-02, eta: 3 days, 4:52:56, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5238, loss_cls: 6.8728, loss: 6.8728 2023-12-30 09:41:36,625 - pyskl - INFO - Epoch [35][800/3746] lr: 8.770e-02, eta: 3 days, 4:51:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5202, loss_cls: 6.9098, loss: 6.9098 2023-12-30 09:42:36,921 - pyskl - INFO - Epoch [35][900/3746] lr: 8.769e-02, eta: 3 days, 4:50:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5212, loss_cls: 6.9342, loss: 6.9342 2023-12-30 09:43:37,170 - pyskl - INFO - Epoch [35][1000/3746] lr: 8.767e-02, eta: 3 days, 4:49:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5258, loss_cls: 6.9197, loss: 6.9197 2023-12-30 09:44:37,768 - pyskl - INFO - Epoch [35][1100/3746] lr: 8.765e-02, eta: 3 days, 4:47:54, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5081, loss_cls: 6.9528, loss: 6.9528 2023-12-30 09:45:38,148 - pyskl - INFO - Epoch [35][1200/3746] lr: 8.763e-02, eta: 3 days, 4:46:39, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5203, loss_cls: 6.9318, loss: 6.9318 2023-12-30 09:46:38,591 - pyskl - INFO - Epoch [35][1300/3746] lr: 8.761e-02, eta: 3 days, 4:45:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5206, loss_cls: 6.9011, loss: 6.9011 2023-12-30 09:47:39,931 - pyskl - INFO - Epoch [35][1400/3746] lr: 8.759e-02, eta: 3 days, 4:44:12, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5284, loss_cls: 6.8891, loss: 6.8891 2023-12-30 09:48:40,390 - pyskl - INFO - Epoch [35][1500/3746] lr: 8.757e-02, eta: 3 days, 4:42:57, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5186, loss_cls: 6.9118, loss: 6.9118 2023-12-30 09:49:40,757 - pyskl - INFO - Epoch [35][1600/3746] lr: 8.756e-02, eta: 3 days, 4:41:42, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5286, loss_cls: 6.8865, loss: 6.8865 2023-12-30 09:50:41,107 - pyskl - INFO - Epoch [35][1700/3746] lr: 8.754e-02, eta: 3 days, 4:40:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5256, loss_cls: 6.9000, loss: 6.9000 2023-12-30 09:51:41,503 - pyskl - INFO - Epoch [35][1800/3746] lr: 8.752e-02, eta: 3 days, 4:39:11, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5239, loss_cls: 6.8913, loss: 6.8913 2023-12-30 09:52:42,204 - pyskl - INFO - Epoch [35][1900/3746] lr: 8.750e-02, eta: 3 days, 4:37:57, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5330, loss_cls: 6.8414, loss: 6.8414 2023-12-30 09:53:42,473 - pyskl - INFO - Epoch [35][2000/3746] lr: 8.748e-02, eta: 3 days, 4:36:42, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5272, loss_cls: 6.9227, loss: 6.9227 2023-12-30 09:54:42,918 - pyskl - INFO - Epoch [35][2100/3746] lr: 8.746e-02, eta: 3 days, 4:35:27, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5169, loss_cls: 6.9245, loss: 6.9245 2023-12-30 09:55:43,377 - pyskl - INFO - Epoch [35][2200/3746] lr: 8.745e-02, eta: 3 days, 4:34:12, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5220, loss_cls: 6.9048, loss: 6.9048 2023-12-30 09:56:44,470 - pyskl - INFO - Epoch [35][2300/3746] lr: 8.743e-02, eta: 3 days, 4:33:00, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5264, loss_cls: 6.9321, loss: 6.9321 2023-12-30 09:57:45,865 - pyskl - INFO - Epoch [35][2400/3746] lr: 8.741e-02, eta: 3 days, 4:31:48, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5197, loss_cls: 6.9188, loss: 6.9188 2023-12-30 09:58:46,657 - pyskl - INFO - Epoch [35][2500/3746] lr: 8.739e-02, eta: 3 days, 4:30:34, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5214, loss_cls: 6.9249, loss: 6.9249 2023-12-30 09:59:47,112 - pyskl - INFO - Epoch [35][2600/3746] lr: 8.737e-02, eta: 3 days, 4:29:20, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5142, loss_cls: 6.9349, loss: 6.9349 2023-12-30 10:00:47,665 - pyskl - INFO - Epoch [35][2700/3746] lr: 8.735e-02, eta: 3 days, 4:28:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5177, loss_cls: 6.9030, loss: 6.9030 2023-12-30 10:01:48,238 - pyskl - INFO - Epoch [35][2800/3746] lr: 8.733e-02, eta: 3 days, 4:26:51, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5148, loss_cls: 6.9405, loss: 6.9405 2023-12-30 10:02:49,163 - pyskl - INFO - Epoch [35][2900/3746] lr: 8.732e-02, eta: 3 days, 4:25:38, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5286, loss_cls: 6.8783, loss: 6.8783 2023-12-30 10:03:50,155 - pyskl - INFO - Epoch [35][3000/3746] lr: 8.730e-02, eta: 3 days, 4:24:25, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5120, loss_cls: 6.9141, loss: 6.9141 2023-12-30 10:04:50,914 - pyskl - INFO - Epoch [35][3100/3746] lr: 8.728e-02, eta: 3 days, 4:23:11, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5161, loss_cls: 6.9430, loss: 6.9430 2023-12-30 10:05:51,123 - pyskl - INFO - Epoch [35][3200/3746] lr: 8.726e-02, eta: 3 days, 4:21:56, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5380, loss_cls: 6.8687, loss: 6.8687 2023-12-30 10:06:51,544 - pyskl - INFO - Epoch [35][3300/3746] lr: 8.724e-02, eta: 3 days, 4:20:41, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5141, loss_cls: 6.9077, loss: 6.9077 2023-12-30 10:07:51,970 - pyskl - INFO - Epoch [35][3400/3746] lr: 8.722e-02, eta: 3 days, 4:19:27, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5173, loss_cls: 6.9335, loss: 6.9335 2023-12-30 10:08:52,323 - pyskl - INFO - Epoch [35][3500/3746] lr: 8.720e-02, eta: 3 days, 4:18:12, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5170, loss_cls: 6.9476, loss: 6.9476 2023-12-30 10:09:52,802 - pyskl - INFO - Epoch [35][3600/3746] lr: 8.718e-02, eta: 3 days, 4:16:57, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5144, loss_cls: 6.9378, loss: 6.9378 2023-12-30 10:10:53,697 - pyskl - INFO - Epoch [35][3700/3746] lr: 8.717e-02, eta: 3 days, 4:15:44, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5197, loss_cls: 6.9397, loss: 6.9397 2023-12-30 10:11:24,004 - pyskl - INFO - Saving checkpoint at 35 epochs 2023-12-30 10:13:25,766 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 10:13:26,857 - pyskl - INFO - top1_acc 0.2006 top5_acc 0.4254 2023-12-30 10:13:26,858 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 10:13:26,901 - pyskl - INFO - mean_acc 0.2004 2023-12-30 10:13:26,911 - pyskl - INFO - Epoch(val) [35][309] top1_acc: 0.2006, top5_acc: 0.4254, mean_class_accuracy: 0.2004 2023-12-30 10:16:56,091 - pyskl - INFO - Epoch [36][100/3746] lr: 8.714e-02, eta: 3 days, 4:20:32, time: 2.092, data_time: 1.497, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5264, loss_cls: 6.8872, loss: 6.8872 2023-12-30 10:17:56,171 - pyskl - INFO - Epoch [36][200/3746] lr: 8.712e-02, eta: 3 days, 4:19:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5311, loss_cls: 6.8684, loss: 6.8684 2023-12-30 10:18:56,261 - pyskl - INFO - Epoch [36][300/3746] lr: 8.710e-02, eta: 3 days, 4:18:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5197, loss_cls: 6.9045, loss: 6.9045 2023-12-30 10:19:56,707 - pyskl - INFO - Epoch [36][400/3746] lr: 8.708e-02, eta: 3 days, 4:16:46, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5233, loss_cls: 6.9227, loss: 6.9227 2023-12-30 10:20:57,149 - pyskl - INFO - Epoch [36][500/3746] lr: 8.706e-02, eta: 3 days, 4:15:31, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5261, loss_cls: 6.9157, loss: 6.9157 2023-12-30 10:21:57,595 - pyskl - INFO - Epoch [36][600/3746] lr: 8.704e-02, eta: 3 days, 4:14:16, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5316, loss_cls: 6.8648, loss: 6.8648 2023-12-30 10:22:58,121 - pyskl - INFO - Epoch [36][700/3746] lr: 8.703e-02, eta: 3 days, 4:13:02, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5222, loss_cls: 6.8951, loss: 6.8951 2023-12-30 10:23:58,512 - pyskl - INFO - Epoch [36][800/3746] lr: 8.701e-02, eta: 3 days, 4:11:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5267, loss_cls: 6.8993, loss: 6.8993 2023-12-30 10:24:59,335 - pyskl - INFO - Epoch [36][900/3746] lr: 8.699e-02, eta: 3 days, 4:10:33, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5203, loss_cls: 6.9135, loss: 6.9135 2023-12-30 10:26:00,471 - pyskl - INFO - Epoch [36][1000/3746] lr: 8.697e-02, eta: 3 days, 4:09:21, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5184, loss_cls: 6.9360, loss: 6.9360 2023-12-30 10:27:00,949 - pyskl - INFO - Epoch [36][1100/3746] lr: 8.695e-02, eta: 3 days, 4:08:06, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5250, loss_cls: 6.8967, loss: 6.8967 2023-12-30 10:28:01,948 - pyskl - INFO - Epoch [36][1200/3746] lr: 8.693e-02, eta: 3 days, 4:06:53, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5191, loss_cls: 6.9213, loss: 6.9213 2023-12-30 10:29:02,468 - pyskl - INFO - Epoch [36][1300/3746] lr: 8.691e-02, eta: 3 days, 4:05:39, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5159, loss_cls: 6.9476, loss: 6.9476 2023-12-30 10:30:02,872 - pyskl - INFO - Epoch [36][1400/3746] lr: 8.689e-02, eta: 3 days, 4:04:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5283, loss_cls: 6.8645, loss: 6.8645 2023-12-30 10:31:03,428 - pyskl - INFO - Epoch [36][1500/3746] lr: 8.688e-02, eta: 3 days, 4:03:10, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5272, loss_cls: 6.8846, loss: 6.8846 2023-12-30 10:32:03,907 - pyskl - INFO - Epoch [36][1600/3746] lr: 8.686e-02, eta: 3 days, 4:01:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5269, loss_cls: 6.8924, loss: 6.8924 2023-12-30 10:33:04,381 - pyskl - INFO - Epoch [36][1700/3746] lr: 8.684e-02, eta: 3 days, 4:00:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5105, loss_cls: 6.9770, loss: 6.9770 2023-12-30 10:34:04,678 - pyskl - INFO - Epoch [36][1800/3746] lr: 8.682e-02, eta: 3 days, 3:59:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5197, loss_cls: 6.9153, loss: 6.9153 2023-12-30 10:35:04,854 - pyskl - INFO - Epoch [36][1900/3746] lr: 8.680e-02, eta: 3 days, 3:58:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5286, loss_cls: 6.8790, loss: 6.8790 2023-12-30 10:36:04,859 - pyskl - INFO - Epoch [36][2000/3746] lr: 8.678e-02, eta: 3 days, 3:56:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5217, loss_cls: 6.8558, loss: 6.8558 2023-12-30 10:37:05,021 - pyskl - INFO - Epoch [36][2100/3746] lr: 8.676e-02, eta: 3 days, 3:55:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5217, loss_cls: 6.9412, loss: 6.9412 2023-12-30 10:38:05,774 - pyskl - INFO - Epoch [36][2200/3746] lr: 8.674e-02, eta: 3 days, 3:54:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5225, loss_cls: 6.8971, loss: 6.8971 2023-12-30 10:39:07,493 - pyskl - INFO - Epoch [36][2300/3746] lr: 8.672e-02, eta: 3 days, 3:53:16, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5300, loss_cls: 6.9104, loss: 6.9104 2023-12-30 10:40:08,438 - pyskl - INFO - Epoch [36][2400/3746] lr: 8.671e-02, eta: 3 days, 3:52:03, time: 0.609, data_time: 0.001, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5311, loss_cls: 6.8816, loss: 6.8816 2023-12-30 10:41:08,881 - pyskl - INFO - Epoch [36][2500/3746] lr: 8.669e-02, eta: 3 days, 3:50:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5262, loss_cls: 6.8968, loss: 6.8968 2023-12-30 10:42:09,634 - pyskl - INFO - Epoch [36][2600/3746] lr: 8.667e-02, eta: 3 days, 3:49:35, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5278, loss_cls: 6.8780, loss: 6.8780 2023-12-30 10:43:10,569 - pyskl - INFO - Epoch [36][2700/3746] lr: 8.665e-02, eta: 3 days, 3:48:23, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5106, loss_cls: 6.9727, loss: 6.9727 2023-12-30 10:44:11,443 - pyskl - INFO - Epoch [36][2800/3746] lr: 8.663e-02, eta: 3 days, 3:47:10, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5138, loss_cls: 6.9461, loss: 6.9461 2023-12-30 10:45:12,081 - pyskl - INFO - Epoch [36][2900/3746] lr: 8.661e-02, eta: 3 days, 3:45:56, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5084, loss_cls: 6.9796, loss: 6.9796 2023-12-30 10:46:12,730 - pyskl - INFO - Epoch [36][3000/3746] lr: 8.659e-02, eta: 3 days, 3:44:42, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5177, loss_cls: 6.9400, loss: 6.9400 2023-12-30 10:47:13,093 - pyskl - INFO - Epoch [36][3100/3746] lr: 8.657e-02, eta: 3 days, 3:43:28, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5275, loss_cls: 6.8665, loss: 6.8665 2023-12-30 10:48:13,322 - pyskl - INFO - Epoch [36][3200/3746] lr: 8.655e-02, eta: 3 days, 3:42:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5244, loss_cls: 6.9189, loss: 6.9189 2023-12-30 10:49:13,502 - pyskl - INFO - Epoch [36][3300/3746] lr: 8.653e-02, eta: 3 days, 3:40:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5277, loss_cls: 6.8914, loss: 6.8914 2023-12-30 10:50:13,937 - pyskl - INFO - Epoch [36][3400/3746] lr: 8.651e-02, eta: 3 days, 3:39:44, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5202, loss_cls: 6.9466, loss: 6.9466 2023-12-30 10:51:13,998 - pyskl - INFO - Epoch [36][3500/3746] lr: 8.650e-02, eta: 3 days, 3:38:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2786, top5_acc: 0.5231, loss_cls: 6.8983, loss: 6.8983 2023-12-30 10:52:14,535 - pyskl - INFO - Epoch [36][3600/3746] lr: 8.648e-02, eta: 3 days, 3:37:14, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5231, loss_cls: 6.9223, loss: 6.9223 2023-12-30 10:53:14,763 - pyskl - INFO - Epoch [36][3700/3746] lr: 8.646e-02, eta: 3 days, 3:36:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5267, loss_cls: 6.8840, loss: 6.8840 2023-12-30 10:53:45,441 - pyskl - INFO - Saving checkpoint at 36 epochs 2023-12-30 10:55:47,163 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 10:55:48,057 - pyskl - INFO - top1_acc 0.1985 top5_acc 0.4226 2023-12-30 10:55:48,057 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 10:55:48,087 - pyskl - INFO - mean_acc 0.1982 2023-12-30 10:55:48,093 - pyskl - INFO - Epoch(val) [36][309] top1_acc: 0.1985, top5_acc: 0.4226, mean_class_accuracy: 0.1982 2023-12-30 10:59:08,826 - pyskl - INFO - Epoch [37][100/3746] lr: 8.643e-02, eta: 3 days, 3:40:07, time: 2.007, data_time: 1.414, memory: 16177, top1_acc: 0.2792, top5_acc: 0.5270, loss_cls: 6.8770, loss: 6.8770 2023-12-30 11:00:08,355 - pyskl - INFO - Epoch [37][200/3746] lr: 8.641e-02, eta: 3 days, 3:38:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5231, loss_cls: 6.8663, loss: 6.8663 2023-12-30 11:01:08,292 - pyskl - INFO - Epoch [37][300/3746] lr: 8.639e-02, eta: 3 days, 3:37:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5234, loss_cls: 6.8740, loss: 6.8740 2023-12-30 11:02:08,435 - pyskl - INFO - Epoch [37][400/3746] lr: 8.637e-02, eta: 3 days, 3:36:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5170, loss_cls: 6.9220, loss: 6.9220 2023-12-30 11:03:08,538 - pyskl - INFO - Epoch [37][500/3746] lr: 8.635e-02, eta: 3 days, 3:35:03, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5212, loss_cls: 6.8958, loss: 6.8958 2023-12-30 11:04:08,916 - pyskl - INFO - Epoch [37][600/3746] lr: 8.633e-02, eta: 3 days, 3:33:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5228, loss_cls: 6.9064, loss: 6.9064 2023-12-30 11:05:09,178 - pyskl - INFO - Epoch [37][700/3746] lr: 8.631e-02, eta: 3 days, 3:32:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5172, loss_cls: 6.8952, loss: 6.8952 2023-12-30 11:06:09,626 - pyskl - INFO - Epoch [37][800/3746] lr: 8.630e-02, eta: 3 days, 3:31:19, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5300, loss_cls: 6.8774, loss: 6.8774 2023-12-30 11:07:10,294 - pyskl - INFO - Epoch [37][900/3746] lr: 8.628e-02, eta: 3 days, 3:30:06, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5209, loss_cls: 6.9424, loss: 6.9424 2023-12-30 11:08:10,561 - pyskl - INFO - Epoch [37][1000/3746] lr: 8.626e-02, eta: 3 days, 3:28:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5230, loss_cls: 6.9049, loss: 6.9049 2023-12-30 11:09:11,095 - pyskl - INFO - Epoch [37][1100/3746] lr: 8.624e-02, eta: 3 days, 3:27:37, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5205, loss_cls: 6.9214, loss: 6.9214 2023-12-30 11:10:11,137 - pyskl - INFO - Epoch [37][1200/3746] lr: 8.622e-02, eta: 3 days, 3:26:22, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5409, loss_cls: 6.8295, loss: 6.8295 2023-12-30 11:11:11,558 - pyskl - INFO - Epoch [37][1300/3746] lr: 8.620e-02, eta: 3 days, 3:25:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5191, loss_cls: 6.9362, loss: 6.9362 2023-12-30 11:12:11,858 - pyskl - INFO - Epoch [37][1400/3746] lr: 8.618e-02, eta: 3 days, 3:23:53, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5294, loss_cls: 6.8835, loss: 6.8835 2023-12-30 11:13:12,292 - pyskl - INFO - Epoch [37][1500/3746] lr: 8.616e-02, eta: 3 days, 3:22:38, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5291, loss_cls: 6.8769, loss: 6.8769 2023-12-30 11:14:12,898 - pyskl - INFO - Epoch [37][1600/3746] lr: 8.614e-02, eta: 3 days, 3:21:25, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5272, loss_cls: 6.8928, loss: 6.8928 2023-12-30 11:15:12,999 - pyskl - INFO - Epoch [37][1700/3746] lr: 8.612e-02, eta: 3 days, 3:20:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5236, loss_cls: 6.8929, loss: 6.8929 2023-12-30 11:16:13,070 - pyskl - INFO - Epoch [37][1800/3746] lr: 8.610e-02, eta: 3 days, 3:18:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2794, top5_acc: 0.5197, loss_cls: 6.8931, loss: 6.8931 2023-12-30 11:17:13,105 - pyskl - INFO - Epoch [37][1900/3746] lr: 8.608e-02, eta: 3 days, 3:17:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5180, loss_cls: 6.9242, loss: 6.9242 2023-12-30 11:18:13,520 - pyskl - INFO - Epoch [37][2000/3746] lr: 8.606e-02, eta: 3 days, 3:16:25, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5269, loss_cls: 6.8997, loss: 6.8997 2023-12-30 11:19:13,970 - pyskl - INFO - Epoch [37][2100/3746] lr: 8.604e-02, eta: 3 days, 3:15:11, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5241, loss_cls: 6.8955, loss: 6.8955 2023-12-30 11:20:15,520 - pyskl - INFO - Epoch [37][2200/3746] lr: 8.602e-02, eta: 3 days, 3:14:00, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5156, loss_cls: 6.9374, loss: 6.9374 2023-12-30 11:21:16,885 - pyskl - INFO - Epoch [37][2300/3746] lr: 8.601e-02, eta: 3 days, 3:12:49, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5239, loss_cls: 6.9089, loss: 6.9089 2023-12-30 11:22:17,153 - pyskl - INFO - Epoch [37][2400/3746] lr: 8.599e-02, eta: 3 days, 3:11:35, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5284, loss_cls: 6.8565, loss: 6.8565 2023-12-30 11:23:17,324 - pyskl - INFO - Epoch [37][2500/3746] lr: 8.597e-02, eta: 3 days, 3:10:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5312, loss_cls: 6.8959, loss: 6.8959 2023-12-30 11:24:18,310 - pyskl - INFO - Epoch [37][2600/3746] lr: 8.595e-02, eta: 3 days, 3:09:08, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5130, loss_cls: 6.9449, loss: 6.9449 2023-12-30 11:25:19,301 - pyskl - INFO - Epoch [37][2700/3746] lr: 8.593e-02, eta: 3 days, 3:07:55, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5230, loss_cls: 6.8947, loss: 6.8947 2023-12-30 11:26:20,173 - pyskl - INFO - Epoch [37][2800/3746] lr: 8.591e-02, eta: 3 days, 3:06:43, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5136, loss_cls: 6.9150, loss: 6.9150 2023-12-30 11:27:20,945 - pyskl - INFO - Epoch [37][2900/3746] lr: 8.589e-02, eta: 3 days, 3:05:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5191, loss_cls: 6.8913, loss: 6.8913 2023-12-30 11:28:21,502 - pyskl - INFO - Epoch [37][3000/3746] lr: 8.587e-02, eta: 3 days, 3:04:16, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5155, loss_cls: 6.9475, loss: 6.9475 2023-12-30 11:29:21,906 - pyskl - INFO - Epoch [37][3100/3746] lr: 8.585e-02, eta: 3 days, 3:03:02, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5275, loss_cls: 6.8874, loss: 6.8874 2023-12-30 11:30:21,898 - pyskl - INFO - Epoch [37][3200/3746] lr: 8.583e-02, eta: 3 days, 3:01:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5181, loss_cls: 6.9188, loss: 6.9188 2023-12-30 11:31:22,072 - pyskl - INFO - Epoch [37][3300/3746] lr: 8.581e-02, eta: 3 days, 3:00:33, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5177, loss_cls: 6.9309, loss: 6.9309 2023-12-30 11:32:21,984 - pyskl - INFO - Epoch [37][3400/3746] lr: 8.579e-02, eta: 3 days, 2:59:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5195, loss_cls: 6.9002, loss: 6.9002 2023-12-30 11:33:22,169 - pyskl - INFO - Epoch [37][3500/3746] lr: 8.577e-02, eta: 3 days, 2:58:03, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5175, loss_cls: 6.9046, loss: 6.9046 2023-12-30 11:34:22,500 - pyskl - INFO - Epoch [37][3600/3746] lr: 8.575e-02, eta: 3 days, 2:56:49, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5306, loss_cls: 6.8817, loss: 6.8817 2023-12-30 11:35:22,862 - pyskl - INFO - Epoch [37][3700/3746] lr: 8.573e-02, eta: 3 days, 2:55:35, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5047, loss_cls: 6.9711, loss: 6.9711 2023-12-30 11:35:53,048 - pyskl - INFO - Saving checkpoint at 37 epochs 2023-12-30 11:37:51,398 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 11:37:52,434 - pyskl - INFO - top1_acc 0.2020 top5_acc 0.4292 2023-12-30 11:37:52,434 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 11:37:52,475 - pyskl - INFO - mean_acc 0.2018 2023-12-30 11:37:52,483 - pyskl - INFO - Epoch(val) [37][309] top1_acc: 0.2020, top5_acc: 0.4292, mean_class_accuracy: 0.2018 2023-12-30 11:41:11,984 - pyskl - INFO - Epoch [38][100/3746] lr: 8.570e-02, eta: 3 days, 2:59:26, time: 1.995, data_time: 1.402, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5278, loss_cls: 6.8795, loss: 6.8795 2023-12-30 11:42:11,926 - pyskl - INFO - Epoch [38][200/3746] lr: 8.568e-02, eta: 3 days, 2:58:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5256, loss_cls: 6.8918, loss: 6.8918 2023-12-30 11:43:12,276 - pyskl - INFO - Epoch [38][300/3746] lr: 8.567e-02, eta: 3 days, 2:56:57, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5339, loss_cls: 6.8741, loss: 6.8741 2023-12-30 11:44:12,921 - pyskl - INFO - Epoch [38][400/3746] lr: 8.565e-02, eta: 3 days, 2:55:43, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5242, loss_cls: 6.9019, loss: 6.9019 2023-12-30 11:45:13,390 - pyskl - INFO - Epoch [38][500/3746] lr: 8.563e-02, eta: 3 days, 2:54:29, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5253, loss_cls: 6.8927, loss: 6.8927 2023-12-30 11:46:13,804 - pyskl - INFO - Epoch [38][600/3746] lr: 8.561e-02, eta: 3 days, 2:53:15, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5247, loss_cls: 6.8915, loss: 6.8915 2023-12-30 11:47:14,111 - pyskl - INFO - Epoch [38][700/3746] lr: 8.559e-02, eta: 3 days, 2:52:01, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5194, loss_cls: 6.9079, loss: 6.9079 2023-12-30 11:48:14,369 - pyskl - INFO - Epoch [38][800/3746] lr: 8.557e-02, eta: 3 days, 2:50:47, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5258, loss_cls: 6.8884, loss: 6.8884 2023-12-30 11:49:14,526 - pyskl - INFO - Epoch [38][900/3746] lr: 8.555e-02, eta: 3 days, 2:49:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5241, loss_cls: 6.8857, loss: 6.8857 2023-12-30 11:50:14,921 - pyskl - INFO - Epoch [38][1000/3746] lr: 8.553e-02, eta: 3 days, 2:48:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5231, loss_cls: 6.9074, loss: 6.9074 2023-12-30 11:51:15,567 - pyskl - INFO - Epoch [38][1100/3746] lr: 8.551e-02, eta: 3 days, 2:47:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5294, loss_cls: 6.8761, loss: 6.8761 2023-12-30 11:52:16,247 - pyskl - INFO - Epoch [38][1200/3746] lr: 8.549e-02, eta: 3 days, 2:45:52, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5288, loss_cls: 6.8764, loss: 6.8764 2023-12-30 11:53:17,158 - pyskl - INFO - Epoch [38][1300/3746] lr: 8.547e-02, eta: 3 days, 2:44:39, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5181, loss_cls: 6.9380, loss: 6.9380 2023-12-30 11:54:17,619 - pyskl - INFO - Epoch [38][1400/3746] lr: 8.545e-02, eta: 3 days, 2:43:25, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5284, loss_cls: 6.8784, loss: 6.8784 2023-12-30 11:55:18,071 - pyskl - INFO - Epoch [38][1500/3746] lr: 8.543e-02, eta: 3 days, 2:42:12, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5233, loss_cls: 6.9045, loss: 6.9045 2023-12-30 11:56:18,487 - pyskl - INFO - Epoch [38][1600/3746] lr: 8.541e-02, eta: 3 days, 2:40:58, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5269, loss_cls: 6.9152, loss: 6.9152 2023-12-30 11:57:18,936 - pyskl - INFO - Epoch [38][1700/3746] lr: 8.539e-02, eta: 3 days, 2:39:44, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2794, top5_acc: 0.5231, loss_cls: 6.9032, loss: 6.9032 2023-12-30 11:58:19,792 - pyskl - INFO - Epoch [38][1800/3746] lr: 8.537e-02, eta: 3 days, 2:38:32, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5261, loss_cls: 6.8962, loss: 6.8962 2023-12-30 11:59:20,486 - pyskl - INFO - Epoch [38][1900/3746] lr: 8.535e-02, eta: 3 days, 2:37:19, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5189, loss_cls: 6.9278, loss: 6.9278 2023-12-30 12:00:21,554 - pyskl - INFO - Epoch [38][2000/3746] lr: 8.533e-02, eta: 3 days, 2:36:07, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5316, loss_cls: 6.8670, loss: 6.8670 2023-12-30 12:01:22,100 - pyskl - INFO - Epoch [38][2100/3746] lr: 8.531e-02, eta: 3 days, 2:34:54, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5116, loss_cls: 6.9536, loss: 6.9536 2023-12-30 12:02:23,772 - pyskl - INFO - Epoch [38][2200/3746] lr: 8.529e-02, eta: 3 days, 2:33:44, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5152, loss_cls: 6.9344, loss: 6.9344 2023-12-30 12:03:25,076 - pyskl - INFO - Epoch [38][2300/3746] lr: 8.527e-02, eta: 3 days, 2:32:33, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5272, loss_cls: 6.8801, loss: 6.8801 2023-12-30 12:04:25,783 - pyskl - INFO - Epoch [38][2400/3746] lr: 8.525e-02, eta: 3 days, 2:31:20, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5178, loss_cls: 6.9215, loss: 6.9215 2023-12-30 12:05:27,119 - pyskl - INFO - Epoch [38][2500/3746] lr: 8.523e-02, eta: 3 days, 2:30:09, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5383, loss_cls: 6.8359, loss: 6.8359 2023-12-30 12:06:28,052 - pyskl - INFO - Epoch [38][2600/3746] lr: 8.521e-02, eta: 3 days, 2:28:57, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5331, loss_cls: 6.8639, loss: 6.8639 2023-12-30 12:07:28,720 - pyskl - INFO - Epoch [38][2700/3746] lr: 8.519e-02, eta: 3 days, 2:27:44, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5217, loss_cls: 6.9428, loss: 6.9428 2023-12-30 12:08:29,806 - pyskl - INFO - Epoch [38][2800/3746] lr: 8.517e-02, eta: 3 days, 2:26:32, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5241, loss_cls: 6.9108, loss: 6.9108 2023-12-30 12:09:30,473 - pyskl - INFO - Epoch [38][2900/3746] lr: 8.515e-02, eta: 3 days, 2:25:20, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5105, loss_cls: 6.9426, loss: 6.9426 2023-12-30 12:10:31,211 - pyskl - INFO - Epoch [38][3000/3746] lr: 8.513e-02, eta: 3 days, 2:24:07, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5175, loss_cls: 6.8952, loss: 6.8952 2023-12-30 12:11:31,560 - pyskl - INFO - Epoch [38][3100/3746] lr: 8.511e-02, eta: 3 days, 2:22:53, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5289, loss_cls: 6.8580, loss: 6.8580 2023-12-30 12:12:31,843 - pyskl - INFO - Epoch [38][3200/3746] lr: 8.509e-02, eta: 3 days, 2:21:39, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5252, loss_cls: 6.8875, loss: 6.8875 2023-12-30 12:13:31,994 - pyskl - INFO - Epoch [38][3300/3746] lr: 8.507e-02, eta: 3 days, 2:20:25, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5261, loss_cls: 6.9072, loss: 6.9072 2023-12-30 12:14:32,097 - pyskl - INFO - Epoch [38][3400/3746] lr: 8.505e-02, eta: 3 days, 2:19:11, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5266, loss_cls: 6.8915, loss: 6.8915 2023-12-30 12:15:32,686 - pyskl - INFO - Epoch [38][3500/3746] lr: 8.503e-02, eta: 3 days, 2:17:58, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5211, loss_cls: 6.9168, loss: 6.9168 2023-12-30 12:16:33,634 - pyskl - INFO - Epoch [38][3600/3746] lr: 8.501e-02, eta: 3 days, 2:16:46, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5128, loss_cls: 6.9381, loss: 6.9381 2023-12-30 12:17:34,048 - pyskl - INFO - Epoch [38][3700/3746] lr: 8.499e-02, eta: 3 days, 2:15:32, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2911, top5_acc: 0.5298, loss_cls: 6.8380, loss: 6.8380 2023-12-30 12:18:04,553 - pyskl - INFO - Saving checkpoint at 38 epochs 2023-12-30 12:20:03,094 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 12:20:04,180 - pyskl - INFO - top1_acc 0.2144 top5_acc 0.4472 2023-12-30 12:20:04,180 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 12:20:04,218 - pyskl - INFO - mean_acc 0.2138 2023-12-30 12:20:04,225 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_23.pth was removed 2023-12-30 12:20:04,509 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_38.pth. 2023-12-30 12:20:04,510 - pyskl - INFO - Best top1_acc is 0.2144 at 38 epoch. 2023-12-30 12:20:04,522 - pyskl - INFO - Epoch(val) [38][309] top1_acc: 0.2144, top5_acc: 0.4472, mean_class_accuracy: 0.2138 2023-12-30 12:23:29,792 - pyskl - INFO - Epoch [39][100/3746] lr: 8.496e-02, eta: 3 days, 2:19:30, time: 2.053, data_time: 1.459, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5417, loss_cls: 6.8336, loss: 6.8336 2023-12-30 12:24:29,615 - pyskl - INFO - Epoch [39][200/3746] lr: 8.494e-02, eta: 3 days, 2:18:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5309, loss_cls: 6.8649, loss: 6.8649 2023-12-30 12:25:29,796 - pyskl - INFO - Epoch [39][300/3746] lr: 8.492e-02, eta: 3 days, 2:17:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5341, loss_cls: 6.8526, loss: 6.8526 2023-12-30 12:26:30,415 - pyskl - INFO - Epoch [39][400/3746] lr: 8.490e-02, eta: 3 days, 2:15:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5241, loss_cls: 6.8874, loss: 6.8874 2023-12-30 12:27:30,903 - pyskl - INFO - Epoch [39][500/3746] lr: 8.488e-02, eta: 3 days, 2:14:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5323, loss_cls: 6.8395, loss: 6.8395 2023-12-30 12:28:31,075 - pyskl - INFO - Epoch [39][600/3746] lr: 8.486e-02, eta: 3 days, 2:13:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5277, loss_cls: 6.8711, loss: 6.8711 2023-12-30 12:29:31,604 - pyskl - INFO - Epoch [39][700/3746] lr: 8.484e-02, eta: 3 days, 2:12:06, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5264, loss_cls: 6.8724, loss: 6.8724 2023-12-30 12:30:31,899 - pyskl - INFO - Epoch [39][800/3746] lr: 8.482e-02, eta: 3 days, 2:10:52, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5244, loss_cls: 6.9076, loss: 6.9076 2023-12-30 12:31:32,236 - pyskl - INFO - Epoch [39][900/3746] lr: 8.480e-02, eta: 3 days, 2:09:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5227, loss_cls: 6.8951, loss: 6.8951 2023-12-30 12:32:32,522 - pyskl - INFO - Epoch [39][1000/3746] lr: 8.478e-02, eta: 3 days, 2:08:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5273, loss_cls: 6.8788, loss: 6.8788 2023-12-30 12:33:32,902 - pyskl - INFO - Epoch [39][1100/3746] lr: 8.476e-02, eta: 3 days, 2:07:10, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5169, loss_cls: 6.9535, loss: 6.9535 2023-12-30 12:34:33,348 - pyskl - INFO - Epoch [39][1200/3746] lr: 8.474e-02, eta: 3 days, 2:05:57, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2792, top5_acc: 0.5288, loss_cls: 6.8984, loss: 6.8984 2023-12-30 12:35:33,359 - pyskl - INFO - Epoch [39][1300/3746] lr: 8.472e-02, eta: 3 days, 2:04:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5178, loss_cls: 6.9301, loss: 6.9301 2023-12-30 12:36:33,511 - pyskl - INFO - Epoch [39][1400/3746] lr: 8.470e-02, eta: 3 days, 2:03:28, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5211, loss_cls: 6.9101, loss: 6.9101 2023-12-30 12:37:33,783 - pyskl - INFO - Epoch [39][1500/3746] lr: 8.468e-02, eta: 3 days, 2:02:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5256, loss_cls: 6.9306, loss: 6.9306 2023-12-30 12:38:34,873 - pyskl - INFO - Epoch [39][1600/3746] lr: 8.466e-02, eta: 3 days, 2:01:03, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5247, loss_cls: 6.8767, loss: 6.8767 2023-12-30 12:39:35,175 - pyskl - INFO - Epoch [39][1700/3746] lr: 8.464e-02, eta: 3 days, 1:59:49, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5252, loss_cls: 6.9098, loss: 6.9098 2023-12-30 12:40:35,563 - pyskl - INFO - Epoch [39][1800/3746] lr: 8.462e-02, eta: 3 days, 1:58:35, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5130, loss_cls: 6.9209, loss: 6.9209 2023-12-30 12:41:36,358 - pyskl - INFO - Epoch [39][1900/3746] lr: 8.460e-02, eta: 3 days, 1:57:23, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5395, loss_cls: 6.8158, loss: 6.8158 2023-12-30 12:42:36,724 - pyskl - INFO - Epoch [39][2000/3746] lr: 8.458e-02, eta: 3 days, 1:56:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5300, loss_cls: 6.8607, loss: 6.8607 2023-12-30 12:43:37,501 - pyskl - INFO - Epoch [39][2100/3746] lr: 8.456e-02, eta: 3 days, 1:54:57, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5208, loss_cls: 6.9039, loss: 6.9039 2023-12-30 12:44:39,302 - pyskl - INFO - Epoch [39][2200/3746] lr: 8.454e-02, eta: 3 days, 1:53:48, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5261, loss_cls: 6.8801, loss: 6.8801 2023-12-30 12:45:39,972 - pyskl - INFO - Epoch [39][2300/3746] lr: 8.452e-02, eta: 3 days, 1:52:35, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5398, loss_cls: 6.8462, loss: 6.8462 2023-12-30 12:46:40,451 - pyskl - INFO - Epoch [39][2400/3746] lr: 8.450e-02, eta: 3 days, 1:51:22, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5072, loss_cls: 6.9454, loss: 6.9454 2023-12-30 12:47:41,229 - pyskl - INFO - Epoch [39][2500/3746] lr: 8.448e-02, eta: 3 days, 1:50:10, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5303, loss_cls: 6.8680, loss: 6.8680 2023-12-30 12:48:41,993 - pyskl - INFO - Epoch [39][2600/3746] lr: 8.446e-02, eta: 3 days, 1:48:57, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5144, loss_cls: 6.9231, loss: 6.9231 2023-12-30 12:49:42,664 - pyskl - INFO - Epoch [39][2700/3746] lr: 8.444e-02, eta: 3 days, 1:47:45, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5239, loss_cls: 6.9093, loss: 6.9093 2023-12-30 12:50:43,470 - pyskl - INFO - Epoch [39][2800/3746] lr: 8.442e-02, eta: 3 days, 1:46:33, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5181, loss_cls: 6.9241, loss: 6.9241 2023-12-30 12:51:44,287 - pyskl - INFO - Epoch [39][2900/3746] lr: 8.440e-02, eta: 3 days, 1:45:21, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5294, loss_cls: 6.8930, loss: 6.8930 2023-12-30 12:52:44,889 - pyskl - INFO - Epoch [39][3000/3746] lr: 8.438e-02, eta: 3 days, 1:44:08, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5300, loss_cls: 6.8428, loss: 6.8428 2023-12-30 12:53:44,983 - pyskl - INFO - Epoch [39][3100/3746] lr: 8.436e-02, eta: 3 days, 1:42:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5153, loss_cls: 6.9195, loss: 6.9195 2023-12-30 12:54:45,129 - pyskl - INFO - Epoch [39][3200/3746] lr: 8.434e-02, eta: 3 days, 1:41:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5267, loss_cls: 6.9165, loss: 6.9165 2023-12-30 12:55:45,521 - pyskl - INFO - Epoch [39][3300/3746] lr: 8.432e-02, eta: 3 days, 1:40:27, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5267, loss_cls: 6.8732, loss: 6.8732 2023-12-30 12:56:45,492 - pyskl - INFO - Epoch [39][3400/3746] lr: 8.430e-02, eta: 3 days, 1:39:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5139, loss_cls: 6.9211, loss: 6.9211 2023-12-30 12:57:45,905 - pyskl - INFO - Epoch [39][3500/3746] lr: 8.428e-02, eta: 3 days, 1:37:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5205, loss_cls: 6.9409, loss: 6.9409 2023-12-30 12:58:45,989 - pyskl - INFO - Epoch [39][3600/3746] lr: 8.426e-02, eta: 3 days, 1:36:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5284, loss_cls: 6.9037, loss: 6.9037 2023-12-30 12:59:46,161 - pyskl - INFO - Epoch [39][3700/3746] lr: 8.424e-02, eta: 3 days, 1:35:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5205, loss_cls: 6.8944, loss: 6.8944 2023-12-30 13:00:16,265 - pyskl - INFO - Saving checkpoint at 39 epochs 2023-12-30 13:02:16,112 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 13:02:17,161 - pyskl - INFO - top1_acc 0.2094 top5_acc 0.4491 2023-12-30 13:02:17,161 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 13:02:17,198 - pyskl - INFO - mean_acc 0.2091 2023-12-30 13:02:17,205 - pyskl - INFO - Epoch(val) [39][309] top1_acc: 0.2094, top5_acc: 0.4491, mean_class_accuracy: 0.2091 2023-12-30 13:05:37,170 - pyskl - INFO - Epoch [40][100/3746] lr: 8.421e-02, eta: 3 days, 1:39:02, time: 2.000, data_time: 1.406, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5317, loss_cls: 6.8496, loss: 6.8496 2023-12-30 13:06:36,908 - pyskl - INFO - Epoch [40][200/3746] lr: 8.419e-02, eta: 3 days, 1:37:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2766, top5_acc: 0.5302, loss_cls: 6.8705, loss: 6.8705 2023-12-30 13:07:36,982 - pyskl - INFO - Epoch [40][300/3746] lr: 8.417e-02, eta: 3 days, 1:36:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5317, loss_cls: 6.8673, loss: 6.8673 2023-12-30 13:08:37,417 - pyskl - INFO - Epoch [40][400/3746] lr: 8.415e-02, eta: 3 days, 1:35:20, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5336, loss_cls: 6.8603, loss: 6.8603 2023-12-30 13:09:38,301 - pyskl - INFO - Epoch [40][500/3746] lr: 8.413e-02, eta: 3 days, 1:34:08, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5227, loss_cls: 6.8418, loss: 6.8418 2023-12-30 13:10:39,487 - pyskl - INFO - Epoch [40][600/3746] lr: 8.411e-02, eta: 3 days, 1:32:56, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5209, loss_cls: 6.9188, loss: 6.9188 2023-12-30 13:11:40,128 - pyskl - INFO - Epoch [40][700/3746] lr: 8.408e-02, eta: 3 days, 1:31:44, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5217, loss_cls: 6.9045, loss: 6.9045 2023-12-30 13:12:40,751 - pyskl - INFO - Epoch [40][800/3746] lr: 8.406e-02, eta: 3 days, 1:30:31, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5211, loss_cls: 6.8933, loss: 6.8933 2023-12-30 13:13:41,673 - pyskl - INFO - Epoch [40][900/3746] lr: 8.404e-02, eta: 3 days, 1:29:19, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5334, loss_cls: 6.8904, loss: 6.8904 2023-12-30 13:14:42,408 - pyskl - INFO - Epoch [40][1000/3746] lr: 8.402e-02, eta: 3 days, 1:28:07, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5286, loss_cls: 6.8723, loss: 6.8723 2023-12-30 13:15:42,802 - pyskl - INFO - Epoch [40][1100/3746] lr: 8.400e-02, eta: 3 days, 1:26:54, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5244, loss_cls: 6.8987, loss: 6.8987 2023-12-30 13:16:43,131 - pyskl - INFO - Epoch [40][1200/3746] lr: 8.398e-02, eta: 3 days, 1:25:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5308, loss_cls: 6.8623, loss: 6.8623 2023-12-30 13:17:43,375 - pyskl - INFO - Epoch [40][1300/3746] lr: 8.396e-02, eta: 3 days, 1:24:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5261, loss_cls: 6.8693, loss: 6.8693 2023-12-30 13:18:44,055 - pyskl - INFO - Epoch [40][1400/3746] lr: 8.394e-02, eta: 3 days, 1:23:14, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5250, loss_cls: 6.8725, loss: 6.8725 2023-12-30 13:19:44,883 - pyskl - INFO - Epoch [40][1500/3746] lr: 8.392e-02, eta: 3 days, 1:22:02, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5273, loss_cls: 6.8841, loss: 6.8841 2023-12-30 13:20:45,868 - pyskl - INFO - Epoch [40][1600/3746] lr: 8.390e-02, eta: 3 days, 1:20:51, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5300, loss_cls: 6.8442, loss: 6.8442 2023-12-30 13:21:46,546 - pyskl - INFO - Epoch [40][1700/3746] lr: 8.388e-02, eta: 3 days, 1:19:39, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5336, loss_cls: 6.8561, loss: 6.8561 2023-12-30 13:22:47,498 - pyskl - INFO - Epoch [40][1800/3746] lr: 8.386e-02, eta: 3 days, 1:18:27, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5262, loss_cls: 6.8676, loss: 6.8676 2023-12-30 13:23:47,727 - pyskl - INFO - Epoch [40][1900/3746] lr: 8.384e-02, eta: 3 days, 1:17:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5252, loss_cls: 6.8846, loss: 6.8846 2023-12-30 13:24:48,286 - pyskl - INFO - Epoch [40][2000/3746] lr: 8.382e-02, eta: 3 days, 1:16:01, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5314, loss_cls: 6.8573, loss: 6.8573 2023-12-30 13:25:49,425 - pyskl - INFO - Epoch [40][2100/3746] lr: 8.380e-02, eta: 3 days, 1:14:50, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5331, loss_cls: 6.8621, loss: 6.8621 2023-12-30 13:26:50,640 - pyskl - INFO - Epoch [40][2200/3746] lr: 8.378e-02, eta: 3 days, 1:13:39, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5298, loss_cls: 6.8721, loss: 6.8721 2023-12-30 13:27:51,258 - pyskl - INFO - Epoch [40][2300/3746] lr: 8.376e-02, eta: 3 days, 1:12:27, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5220, loss_cls: 6.9183, loss: 6.9183 2023-12-30 13:28:51,861 - pyskl - INFO - Epoch [40][2400/3746] lr: 8.374e-02, eta: 3 days, 1:11:14, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5297, loss_cls: 6.8902, loss: 6.8902 2023-12-30 13:29:52,887 - pyskl - INFO - Epoch [40][2500/3746] lr: 8.371e-02, eta: 3 days, 1:10:03, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5169, loss_cls: 6.9237, loss: 6.9237 2023-12-30 13:30:53,800 - pyskl - INFO - Epoch [40][2600/3746] lr: 8.369e-02, eta: 3 days, 1:08:51, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5206, loss_cls: 6.9096, loss: 6.9096 2023-12-30 13:31:55,231 - pyskl - INFO - Epoch [40][2700/3746] lr: 8.367e-02, eta: 3 days, 1:07:41, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5283, loss_cls: 6.9122, loss: 6.9122 2023-12-30 13:32:56,169 - pyskl - INFO - Epoch [40][2800/3746] lr: 8.365e-02, eta: 3 days, 1:06:30, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5231, loss_cls: 6.9149, loss: 6.9149 2023-12-30 13:33:56,948 - pyskl - INFO - Epoch [40][2900/3746] lr: 8.363e-02, eta: 3 days, 1:05:18, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5241, loss_cls: 6.8950, loss: 6.8950 2023-12-30 13:34:57,746 - pyskl - INFO - Epoch [40][3000/3746] lr: 8.361e-02, eta: 3 days, 1:04:06, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5180, loss_cls: 6.9329, loss: 6.9329 2023-12-30 13:35:58,565 - pyskl - INFO - Epoch [40][3100/3746] lr: 8.359e-02, eta: 3 days, 1:02:54, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5161, loss_cls: 6.9013, loss: 6.9013 2023-12-30 13:36:59,024 - pyskl - INFO - Epoch [40][3200/3746] lr: 8.357e-02, eta: 3 days, 1:01:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5144, loss_cls: 6.9447, loss: 6.9447 2023-12-30 13:37:59,419 - pyskl - INFO - Epoch [40][3300/3746] lr: 8.355e-02, eta: 3 days, 1:00:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5292, loss_cls: 6.8711, loss: 6.8711 2023-12-30 13:38:59,500 - pyskl - INFO - Epoch [40][3400/3746] lr: 8.353e-02, eta: 3 days, 0:59:15, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5347, loss_cls: 6.8568, loss: 6.8568 2023-12-30 13:39:59,918 - pyskl - INFO - Epoch [40][3500/3746] lr: 8.351e-02, eta: 3 days, 0:58:02, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5363, loss_cls: 6.8579, loss: 6.8579 2023-12-30 13:41:00,186 - pyskl - INFO - Epoch [40][3600/3746] lr: 8.349e-02, eta: 3 days, 0:56:49, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2822, top5_acc: 0.5322, loss_cls: 6.8294, loss: 6.8294 2023-12-30 13:42:00,516 - pyskl - INFO - Epoch [40][3700/3746] lr: 8.347e-02, eta: 3 days, 0:55:36, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5248, loss_cls: 6.8785, loss: 6.8785 2023-12-30 13:42:30,603 - pyskl - INFO - Saving checkpoint at 40 epochs 2023-12-30 13:44:29,728 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 13:44:30,567 - pyskl - INFO - top1_acc 0.1897 top5_acc 0.4102 2023-12-30 13:44:30,567 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 13:44:30,608 - pyskl - INFO - mean_acc 0.1894 2023-12-30 13:44:30,616 - pyskl - INFO - Epoch(val) [40][309] top1_acc: 0.1897, top5_acc: 0.4102, mean_class_accuracy: 0.1894 2023-12-30 13:47:54,075 - pyskl - INFO - Epoch [41][100/3746] lr: 8.344e-02, eta: 3 days, 0:59:06, time: 2.034, data_time: 1.440, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5377, loss_cls: 6.8359, loss: 6.8359 2023-12-30 13:48:53,865 - pyskl - INFO - Epoch [41][200/3746] lr: 8.342e-02, eta: 3 days, 0:57:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5344, loss_cls: 6.8596, loss: 6.8596 2023-12-30 13:49:54,263 - pyskl - INFO - Epoch [41][300/3746] lr: 8.339e-02, eta: 3 days, 0:56:38, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5319, loss_cls: 6.8832, loss: 6.8832 2023-12-30 13:50:55,324 - pyskl - INFO - Epoch [41][400/3746] lr: 8.337e-02, eta: 3 days, 0:55:27, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5266, loss_cls: 6.9083, loss: 6.9083 2023-12-30 13:51:55,906 - pyskl - INFO - Epoch [41][500/3746] lr: 8.335e-02, eta: 3 days, 0:54:15, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2822, top5_acc: 0.5267, loss_cls: 6.8556, loss: 6.8556 2023-12-30 13:52:56,735 - pyskl - INFO - Epoch [41][600/3746] lr: 8.333e-02, eta: 3 days, 0:53:03, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5225, loss_cls: 6.8890, loss: 6.8890 2023-12-30 13:53:57,178 - pyskl - INFO - Epoch [41][700/3746] lr: 8.331e-02, eta: 3 days, 0:51:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5297, loss_cls: 6.8946, loss: 6.8946 2023-12-30 13:54:57,598 - pyskl - INFO - Epoch [41][800/3746] lr: 8.329e-02, eta: 3 days, 0:50:37, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5277, loss_cls: 6.8773, loss: 6.8773 2023-12-30 13:55:58,015 - pyskl - INFO - Epoch [41][900/3746] lr: 8.327e-02, eta: 3 days, 0:49:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5333, loss_cls: 6.8478, loss: 6.8478 2023-12-30 13:56:58,360 - pyskl - INFO - Epoch [41][1000/3746] lr: 8.325e-02, eta: 3 days, 0:48:11, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5341, loss_cls: 6.8520, loss: 6.8520 2023-12-30 13:57:58,748 - pyskl - INFO - Epoch [41][1100/3746] lr: 8.323e-02, eta: 3 days, 0:46:58, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5403, loss_cls: 6.8530, loss: 6.8530 2023-12-30 13:58:59,090 - pyskl - INFO - Epoch [41][1200/3746] lr: 8.321e-02, eta: 3 days, 0:45:45, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5333, loss_cls: 6.8657, loss: 6.8657 2023-12-30 13:59:59,152 - pyskl - INFO - Epoch [41][1300/3746] lr: 8.319e-02, eta: 3 days, 0:44:31, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5167, loss_cls: 6.8972, loss: 6.8972 2023-12-30 14:00:59,519 - pyskl - INFO - Epoch [41][1400/3746] lr: 8.316e-02, eta: 3 days, 0:43:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5262, loss_cls: 6.8707, loss: 6.8707 2023-12-30 14:01:59,857 - pyskl - INFO - Epoch [41][1500/3746] lr: 8.314e-02, eta: 3 days, 0:42:05, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5317, loss_cls: 6.8634, loss: 6.8634 2023-12-30 14:03:00,464 - pyskl - INFO - Epoch [41][1600/3746] lr: 8.312e-02, eta: 3 days, 0:40:53, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5175, loss_cls: 6.9044, loss: 6.9044 2023-12-30 14:04:00,621 - pyskl - INFO - Epoch [41][1700/3746] lr: 8.310e-02, eta: 3 days, 0:39:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5281, loss_cls: 6.8910, loss: 6.8910 2023-12-30 14:05:00,980 - pyskl - INFO - Epoch [41][1800/3746] lr: 8.308e-02, eta: 3 days, 0:38:27, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5211, loss_cls: 6.9332, loss: 6.9332 2023-12-30 14:06:01,697 - pyskl - INFO - Epoch [41][1900/3746] lr: 8.306e-02, eta: 3 days, 0:37:15, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5208, loss_cls: 6.9117, loss: 6.9117 2023-12-30 14:07:02,694 - pyskl - INFO - Epoch [41][2000/3746] lr: 8.304e-02, eta: 3 days, 0:36:04, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5341, loss_cls: 6.8617, loss: 6.8617 2023-12-30 14:08:04,117 - pyskl - INFO - Epoch [41][2100/3746] lr: 8.302e-02, eta: 3 days, 0:34:54, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5161, loss_cls: 6.9275, loss: 6.9275 2023-12-30 14:09:05,319 - pyskl - INFO - Epoch [41][2200/3746] lr: 8.300e-02, eta: 3 days, 0:33:43, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5197, loss_cls: 6.9081, loss: 6.9081 2023-12-30 14:10:05,750 - pyskl - INFO - Epoch [41][2300/3746] lr: 8.298e-02, eta: 3 days, 0:32:31, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5292, loss_cls: 6.8613, loss: 6.8613 2023-12-30 14:11:07,107 - pyskl - INFO - Epoch [41][2400/3746] lr: 8.296e-02, eta: 3 days, 0:31:20, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5416, loss_cls: 6.8197, loss: 6.8197 2023-12-30 14:12:08,017 - pyskl - INFO - Epoch [41][2500/3746] lr: 8.293e-02, eta: 3 days, 0:30:09, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5372, loss_cls: 6.8593, loss: 6.8593 2023-12-30 14:13:08,745 - pyskl - INFO - Epoch [41][2600/3746] lr: 8.291e-02, eta: 3 days, 0:28:57, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5238, loss_cls: 6.8546, loss: 6.8546 2023-12-30 14:14:09,513 - pyskl - INFO - Epoch [41][2700/3746] lr: 8.289e-02, eta: 3 days, 0:27:46, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5284, loss_cls: 6.8588, loss: 6.8588 2023-12-30 14:15:09,506 - pyskl - INFO - Epoch [41][2800/3746] lr: 8.287e-02, eta: 3 days, 0:26:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5369, loss_cls: 6.8503, loss: 6.8503 2023-12-30 14:16:10,028 - pyskl - INFO - Epoch [41][2900/3746] lr: 8.285e-02, eta: 3 days, 0:25:20, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5264, loss_cls: 6.8984, loss: 6.8984 2023-12-30 14:17:09,780 - pyskl - INFO - Epoch [41][3000/3746] lr: 8.283e-02, eta: 3 days, 0:24:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5328, loss_cls: 6.8633, loss: 6.8633 2023-12-30 14:18:09,972 - pyskl - INFO - Epoch [41][3100/3746] lr: 8.281e-02, eta: 3 days, 0:22:52, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5267, loss_cls: 6.8913, loss: 6.8913 2023-12-30 14:19:09,812 - pyskl - INFO - Epoch [41][3200/3746] lr: 8.279e-02, eta: 3 days, 0:21:38, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5295, loss_cls: 6.8929, loss: 6.8929 2023-12-30 14:20:09,948 - pyskl - INFO - Epoch [41][3300/3746] lr: 8.277e-02, eta: 3 days, 0:20:25, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5292, loss_cls: 6.8886, loss: 6.8886 2023-12-30 14:21:09,737 - pyskl - INFO - Epoch [41][3400/3746] lr: 8.274e-02, eta: 3 days, 0:19:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5408, loss_cls: 6.8355, loss: 6.8355 2023-12-30 14:22:09,833 - pyskl - INFO - Epoch [41][3500/3746] lr: 8.272e-02, eta: 3 days, 0:17:57, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5155, loss_cls: 6.9142, loss: 6.9142 2023-12-30 14:23:10,082 - pyskl - INFO - Epoch [41][3600/3746] lr: 8.270e-02, eta: 3 days, 0:16:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5352, loss_cls: 6.8447, loss: 6.8447 2023-12-30 14:24:10,382 - pyskl - INFO - Epoch [41][3700/3746] lr: 8.268e-02, eta: 3 days, 0:15:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5275, loss_cls: 6.8520, loss: 6.8520 2023-12-30 14:24:40,581 - pyskl - INFO - Saving checkpoint at 41 epochs 2023-12-30 14:26:37,752 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 14:26:38,790 - pyskl - INFO - top1_acc 0.1908 top5_acc 0.4138 2023-12-30 14:26:38,790 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 14:26:38,831 - pyskl - INFO - mean_acc 0.1906 2023-12-30 14:26:38,839 - pyskl - INFO - Epoch(val) [41][309] top1_acc: 0.1908, top5_acc: 0.4138, mean_class_accuracy: 0.1906 2023-12-30 14:29:59,915 - pyskl - INFO - Epoch [42][100/3746] lr: 8.265e-02, eta: 3 days, 0:18:46, time: 2.011, data_time: 1.418, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5363, loss_cls: 6.8444, loss: 6.8444 2023-12-30 14:30:59,652 - pyskl - INFO - Epoch [42][200/3746] lr: 8.263e-02, eta: 3 days, 0:17:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2794, top5_acc: 0.5356, loss_cls: 6.8308, loss: 6.8308 2023-12-30 14:31:59,617 - pyskl - INFO - Epoch [42][300/3746] lr: 8.261e-02, eta: 3 days, 0:16:17, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5292, loss_cls: 6.8645, loss: 6.8645 2023-12-30 14:33:00,221 - pyskl - INFO - Epoch [42][400/3746] lr: 8.259e-02, eta: 3 days, 0:15:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5312, loss_cls: 6.8468, loss: 6.8468 2023-12-30 14:34:01,392 - pyskl - INFO - Epoch [42][500/3746] lr: 8.257e-02, eta: 3 days, 0:13:54, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5325, loss_cls: 6.8573, loss: 6.8573 2023-12-30 14:35:02,227 - pyskl - INFO - Epoch [42][600/3746] lr: 8.254e-02, eta: 3 days, 0:12:43, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2931, top5_acc: 0.5367, loss_cls: 6.8245, loss: 6.8245 2023-12-30 14:36:02,701 - pyskl - INFO - Epoch [42][700/3746] lr: 8.252e-02, eta: 3 days, 0:11:31, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5264, loss_cls: 6.8564, loss: 6.8564 2023-12-30 14:37:04,030 - pyskl - INFO - Epoch [42][800/3746] lr: 8.250e-02, eta: 3 days, 0:10:20, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5273, loss_cls: 6.8936, loss: 6.8936 2023-12-30 14:38:04,519 - pyskl - INFO - Epoch [42][900/3746] lr: 8.248e-02, eta: 3 days, 0:09:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5442, loss_cls: 6.8011, loss: 6.8011 2023-12-30 14:39:04,986 - pyskl - INFO - Epoch [42][1000/3746] lr: 8.246e-02, eta: 3 days, 0:07:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5247, loss_cls: 6.8685, loss: 6.8685 2023-12-30 14:40:05,158 - pyskl - INFO - Epoch [42][1100/3746] lr: 8.244e-02, eta: 3 days, 0:06:42, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5225, loss_cls: 6.8960, loss: 6.8960 2023-12-30 14:41:05,630 - pyskl - INFO - Epoch [42][1200/3746] lr: 8.242e-02, eta: 3 days, 0:05:30, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5245, loss_cls: 6.9077, loss: 6.9077 2023-12-30 14:42:06,016 - pyskl - INFO - Epoch [42][1300/3746] lr: 8.240e-02, eta: 3 days, 0:04:17, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5344, loss_cls: 6.8623, loss: 6.8623 2023-12-30 14:43:06,541 - pyskl - INFO - Epoch [42][1400/3746] lr: 8.237e-02, eta: 3 days, 0:03:05, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5289, loss_cls: 6.8888, loss: 6.8888 2023-12-30 14:44:07,012 - pyskl - INFO - Epoch [42][1500/3746] lr: 8.235e-02, eta: 3 days, 0:01:53, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5327, loss_cls: 6.8397, loss: 6.8397 2023-12-30 14:45:07,895 - pyskl - INFO - Epoch [42][1600/3746] lr: 8.233e-02, eta: 3 days, 0:00:42, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5327, loss_cls: 6.8473, loss: 6.8473 2023-12-30 14:46:08,551 - pyskl - INFO - Epoch [42][1700/3746] lr: 8.231e-02, eta: 2 days, 23:59:30, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5303, loss_cls: 6.8504, loss: 6.8504 2023-12-30 14:47:09,007 - pyskl - INFO - Epoch [42][1800/3746] lr: 8.229e-02, eta: 2 days, 23:58:17, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5297, loss_cls: 6.8658, loss: 6.8658 2023-12-30 14:48:09,633 - pyskl - INFO - Epoch [42][1900/3746] lr: 8.227e-02, eta: 2 days, 23:57:06, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5308, loss_cls: 6.8776, loss: 6.8776 2023-12-30 14:49:10,797 - pyskl - INFO - Epoch [42][2000/3746] lr: 8.225e-02, eta: 2 days, 23:55:55, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5367, loss_cls: 6.8414, loss: 6.8414 2023-12-30 14:50:12,077 - pyskl - INFO - Epoch [42][2100/3746] lr: 8.222e-02, eta: 2 days, 23:54:45, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5303, loss_cls: 6.8993, loss: 6.8993 2023-12-30 14:51:12,536 - pyskl - INFO - Epoch [42][2200/3746] lr: 8.220e-02, eta: 2 days, 23:53:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5286, loss_cls: 6.8718, loss: 6.8718 2023-12-30 14:52:13,264 - pyskl - INFO - Epoch [42][2300/3746] lr: 8.218e-02, eta: 2 days, 23:52:21, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2872, top5_acc: 0.5284, loss_cls: 6.8561, loss: 6.8561 2023-12-30 14:53:13,789 - pyskl - INFO - Epoch [42][2400/3746] lr: 8.216e-02, eta: 2 days, 23:51:09, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5378, loss_cls: 6.8422, loss: 6.8422 2023-12-30 14:54:14,504 - pyskl - INFO - Epoch [42][2500/3746] lr: 8.214e-02, eta: 2 days, 23:49:58, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5250, loss_cls: 6.9035, loss: 6.9035 2023-12-30 14:55:15,610 - pyskl - INFO - Epoch [42][2600/3746] lr: 8.212e-02, eta: 2 days, 23:48:47, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5322, loss_cls: 6.8535, loss: 6.8535 2023-12-30 14:56:16,594 - pyskl - INFO - Epoch [42][2700/3746] lr: 8.210e-02, eta: 2 days, 23:47:36, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5202, loss_cls: 6.9054, loss: 6.9054 2023-12-30 14:57:17,338 - pyskl - INFO - Epoch [42][2800/3746] lr: 8.207e-02, eta: 2 days, 23:46:25, time: 0.607, data_time: 0.001, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5242, loss_cls: 6.8877, loss: 6.8877 2023-12-30 14:58:17,451 - pyskl - INFO - Epoch [42][2900/3746] lr: 8.205e-02, eta: 2 days, 23:45:12, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5228, loss_cls: 6.9098, loss: 6.9098 2023-12-30 14:59:17,700 - pyskl - INFO - Epoch [42][3000/3746] lr: 8.203e-02, eta: 2 days, 23:43:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5272, loss_cls: 6.9152, loss: 6.9152 2023-12-30 15:00:17,762 - pyskl - INFO - Epoch [42][3100/3746] lr: 8.201e-02, eta: 2 days, 23:42:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5222, loss_cls: 6.8820, loss: 6.8820 2023-12-30 15:01:17,822 - pyskl - INFO - Epoch [42][3200/3746] lr: 8.199e-02, eta: 2 days, 23:41:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5283, loss_cls: 6.8597, loss: 6.8597 2023-12-30 15:02:18,172 - pyskl - INFO - Epoch [42][3300/3746] lr: 8.197e-02, eta: 2 days, 23:40:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5241, loss_cls: 6.9244, loss: 6.9244 2023-12-30 15:03:18,255 - pyskl - INFO - Epoch [42][3400/3746] lr: 8.195e-02, eta: 2 days, 23:39:07, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5269, loss_cls: 6.8648, loss: 6.8648 2023-12-30 15:04:18,656 - pyskl - INFO - Epoch [42][3500/3746] lr: 8.192e-02, eta: 2 days, 23:37:55, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5259, loss_cls: 6.8910, loss: 6.8910 2023-12-30 15:05:19,200 - pyskl - INFO - Epoch [42][3600/3746] lr: 8.190e-02, eta: 2 days, 23:36:43, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5395, loss_cls: 6.8191, loss: 6.8191 2023-12-30 15:06:19,408 - pyskl - INFO - Epoch [42][3700/3746] lr: 8.188e-02, eta: 2 days, 23:35:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5216, loss_cls: 6.8971, loss: 6.8971 2023-12-30 15:06:49,768 - pyskl - INFO - Saving checkpoint at 42 epochs 2023-12-30 15:08:49,018 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 15:08:50,073 - pyskl - INFO - top1_acc 0.1954 top5_acc 0.4208 2023-12-30 15:08:50,073 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 15:08:50,117 - pyskl - INFO - mean_acc 0.1953 2023-12-30 15:08:50,133 - pyskl - INFO - Epoch(val) [42][309] top1_acc: 0.1954, top5_acc: 0.4208, mean_class_accuracy: 0.1953 2023-12-30 15:12:12,367 - pyskl - INFO - Epoch [43][100/3746] lr: 8.185e-02, eta: 2 days, 23:38:38, time: 2.022, data_time: 1.427, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5408, loss_cls: 6.8150, loss: 6.8150 2023-12-30 15:13:12,350 - pyskl - INFO - Epoch [43][200/3746] lr: 8.183e-02, eta: 2 days, 23:37:25, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5364, loss_cls: 6.8199, loss: 6.8199 2023-12-30 15:14:12,359 - pyskl - INFO - Epoch [43][300/3746] lr: 8.181e-02, eta: 2 days, 23:36:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5372, loss_cls: 6.8203, loss: 6.8203 2023-12-30 15:15:12,752 - pyskl - INFO - Epoch [43][400/3746] lr: 8.179e-02, eta: 2 days, 23:34:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5386, loss_cls: 6.7916, loss: 6.7916 2023-12-30 15:16:13,810 - pyskl - INFO - Epoch [43][500/3746] lr: 8.176e-02, eta: 2 days, 23:33:48, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5377, loss_cls: 6.8250, loss: 6.8250 2023-12-30 15:17:14,859 - pyskl - INFO - Epoch [43][600/3746] lr: 8.174e-02, eta: 2 days, 23:32:37, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5317, loss_cls: 6.8759, loss: 6.8759 2023-12-30 15:18:15,636 - pyskl - INFO - Epoch [43][700/3746] lr: 8.172e-02, eta: 2 days, 23:31:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5356, loss_cls: 6.8439, loss: 6.8439 2023-12-30 15:19:15,934 - pyskl - INFO - Epoch [43][800/3746] lr: 8.170e-02, eta: 2 days, 23:30:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5275, loss_cls: 6.8730, loss: 6.8730 2023-12-30 15:20:16,299 - pyskl - INFO - Epoch [43][900/3746] lr: 8.168e-02, eta: 2 days, 23:29:01, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5311, loss_cls: 6.8520, loss: 6.8520 2023-12-30 15:21:16,633 - pyskl - INFO - Epoch [43][1000/3746] lr: 8.166e-02, eta: 2 days, 23:27:49, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2897, top5_acc: 0.5408, loss_cls: 6.8133, loss: 6.8133 2023-12-30 15:22:17,058 - pyskl - INFO - Epoch [43][1100/3746] lr: 8.163e-02, eta: 2 days, 23:26:36, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5314, loss_cls: 6.8596, loss: 6.8596 2023-12-30 15:23:17,397 - pyskl - INFO - Epoch [43][1200/3746] lr: 8.161e-02, eta: 2 days, 23:25:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5387, loss_cls: 6.8380, loss: 6.8380 2023-12-30 15:24:17,403 - pyskl - INFO - Epoch [43][1300/3746] lr: 8.159e-02, eta: 2 days, 23:24:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5217, loss_cls: 6.8930, loss: 6.8930 2023-12-30 15:25:17,542 - pyskl - INFO - Epoch [43][1400/3746] lr: 8.157e-02, eta: 2 days, 23:22:58, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5269, loss_cls: 6.8926, loss: 6.8926 2023-12-30 15:26:17,964 - pyskl - INFO - Epoch [43][1500/3746] lr: 8.155e-02, eta: 2 days, 23:21:46, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5239, loss_cls: 6.9143, loss: 6.9143 2023-12-30 15:27:18,771 - pyskl - INFO - Epoch [43][1600/3746] lr: 8.153e-02, eta: 2 days, 23:20:35, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5363, loss_cls: 6.8133, loss: 6.8133 2023-12-30 15:28:19,075 - pyskl - INFO - Epoch [43][1700/3746] lr: 8.150e-02, eta: 2 days, 23:19:22, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5252, loss_cls: 6.8939, loss: 6.8939 2023-12-30 15:29:19,116 - pyskl - INFO - Epoch [43][1800/3746] lr: 8.148e-02, eta: 2 days, 23:18:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5348, loss_cls: 6.8396, loss: 6.8396 2023-12-30 15:30:19,957 - pyskl - INFO - Epoch [43][1900/3746] lr: 8.146e-02, eta: 2 days, 23:16:58, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5323, loss_cls: 6.8517, loss: 6.8517 2023-12-30 15:31:21,343 - pyskl - INFO - Epoch [43][2000/3746] lr: 8.144e-02, eta: 2 days, 23:15:48, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5408, loss_cls: 6.8253, loss: 6.8253 2023-12-30 15:32:21,965 - pyskl - INFO - Epoch [43][2100/3746] lr: 8.142e-02, eta: 2 days, 23:14:37, time: 0.606, data_time: 0.001, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5203, loss_cls: 6.9100, loss: 6.9100 2023-12-30 15:33:22,447 - pyskl - INFO - Epoch [43][2200/3746] lr: 8.140e-02, eta: 2 days, 23:13:25, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5352, loss_cls: 6.8436, loss: 6.8436 2023-12-30 15:34:22,993 - pyskl - INFO - Epoch [43][2300/3746] lr: 8.137e-02, eta: 2 days, 23:12:13, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5231, loss_cls: 6.9058, loss: 6.9058 2023-12-30 15:35:23,631 - pyskl - INFO - Epoch [43][2400/3746] lr: 8.135e-02, eta: 2 days, 23:11:02, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5305, loss_cls: 6.8803, loss: 6.8803 2023-12-30 15:36:24,557 - pyskl - INFO - Epoch [43][2500/3746] lr: 8.133e-02, eta: 2 days, 23:09:51, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5280, loss_cls: 6.8612, loss: 6.8612 2023-12-30 15:37:25,047 - pyskl - INFO - Epoch [43][2600/3746] lr: 8.131e-02, eta: 2 days, 23:08:39, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5289, loss_cls: 6.8857, loss: 6.8857 2023-12-30 15:38:25,877 - pyskl - INFO - Epoch [43][2700/3746] lr: 8.129e-02, eta: 2 days, 23:07:28, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5202, loss_cls: 6.9212, loss: 6.9212 2023-12-30 15:39:26,839 - pyskl - INFO - Epoch [43][2800/3746] lr: 8.126e-02, eta: 2 days, 23:06:17, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5248, loss_cls: 6.8615, loss: 6.8615 2023-12-30 15:40:27,208 - pyskl - INFO - Epoch [43][2900/3746] lr: 8.124e-02, eta: 2 days, 23:05:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5123, loss_cls: 6.9262, loss: 6.9262 2023-12-30 15:41:27,550 - pyskl - INFO - Epoch [43][3000/3746] lr: 8.122e-02, eta: 2 days, 23:03:53, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5284, loss_cls: 6.8787, loss: 6.8787 2023-12-30 15:42:27,956 - pyskl - INFO - Epoch [43][3100/3746] lr: 8.120e-02, eta: 2 days, 23:02:41, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5280, loss_cls: 6.8765, loss: 6.8765 2023-12-30 15:43:28,821 - pyskl - INFO - Epoch [43][3200/3746] lr: 8.118e-02, eta: 2 days, 23:01:30, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5188, loss_cls: 6.9165, loss: 6.9165 2023-12-30 15:44:28,927 - pyskl - INFO - Epoch [43][3300/3746] lr: 8.116e-02, eta: 2 days, 23:00:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5223, loss_cls: 6.8914, loss: 6.8914 2023-12-30 15:45:29,404 - pyskl - INFO - Epoch [43][3400/3746] lr: 8.113e-02, eta: 2 days, 22:59:06, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5198, loss_cls: 6.8935, loss: 6.8935 2023-12-30 15:46:29,725 - pyskl - INFO - Epoch [43][3500/3746] lr: 8.111e-02, eta: 2 days, 22:57:54, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5372, loss_cls: 6.8427, loss: 6.8427 2023-12-30 15:47:30,103 - pyskl - INFO - Epoch [43][3600/3746] lr: 8.109e-02, eta: 2 days, 22:56:42, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5359, loss_cls: 6.8552, loss: 6.8552 2023-12-30 15:48:30,822 - pyskl - INFO - Epoch [43][3700/3746] lr: 8.107e-02, eta: 2 days, 22:55:31, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5333, loss_cls: 6.8481, loss: 6.8481 2023-12-30 15:49:00,824 - pyskl - INFO - Saving checkpoint at 43 epochs 2023-12-30 15:51:00,778 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 15:51:01,831 - pyskl - INFO - top1_acc 0.1859 top5_acc 0.3974 2023-12-30 15:51:01,831 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 15:51:01,870 - pyskl - INFO - mean_acc 0.1857 2023-12-30 15:51:01,879 - pyskl - INFO - Epoch(val) [43][309] top1_acc: 0.1859, top5_acc: 0.3974, mean_class_accuracy: 0.1857 2023-12-30 15:54:21,541 - pyskl - INFO - Epoch [44][100/3746] lr: 8.104e-02, eta: 2 days, 22:58:23, time: 1.997, data_time: 1.405, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5511, loss_cls: 6.7461, loss: 6.7461 2023-12-30 15:55:21,248 - pyskl - INFO - Epoch [44][200/3746] lr: 8.101e-02, eta: 2 days, 22:57:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2792, top5_acc: 0.5370, loss_cls: 6.8581, loss: 6.8581 2023-12-30 15:56:21,318 - pyskl - INFO - Epoch [44][300/3746] lr: 8.099e-02, eta: 2 days, 22:55:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5397, loss_cls: 6.8324, loss: 6.8324 2023-12-30 15:57:21,659 - pyskl - INFO - Epoch [44][400/3746] lr: 8.097e-02, eta: 2 days, 22:54:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5330, loss_cls: 6.8611, loss: 6.8611 2023-12-30 15:58:21,971 - pyskl - INFO - Epoch [44][500/3746] lr: 8.095e-02, eta: 2 days, 22:53:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5350, loss_cls: 6.8487, loss: 6.8487 2023-12-30 15:59:22,433 - pyskl - INFO - Epoch [44][600/3746] lr: 8.093e-02, eta: 2 days, 22:52:20, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5339, loss_cls: 6.8571, loss: 6.8571 2023-12-30 16:00:22,854 - pyskl - INFO - Epoch [44][700/3746] lr: 8.090e-02, eta: 2 days, 22:51:08, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5436, loss_cls: 6.8073, loss: 6.8073 2023-12-30 16:01:23,213 - pyskl - INFO - Epoch [44][800/3746] lr: 8.088e-02, eta: 2 days, 22:49:56, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5311, loss_cls: 6.8722, loss: 6.8722 2023-12-30 16:02:23,713 - pyskl - INFO - Epoch [44][900/3746] lr: 8.086e-02, eta: 2 days, 22:48:44, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5289, loss_cls: 6.8316, loss: 6.8316 2023-12-30 16:03:24,045 - pyskl - INFO - Epoch [44][1000/3746] lr: 8.084e-02, eta: 2 days, 22:47:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5341, loss_cls: 6.8524, loss: 6.8524 2023-12-30 16:04:24,347 - pyskl - INFO - Epoch [44][1100/3746] lr: 8.082e-02, eta: 2 days, 22:46:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5342, loss_cls: 6.8630, loss: 6.8630 2023-12-30 16:05:24,867 - pyskl - INFO - Epoch [44][1200/3746] lr: 8.079e-02, eta: 2 days, 22:45:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5422, loss_cls: 6.8316, loss: 6.8316 2023-12-30 16:06:25,433 - pyskl - INFO - Epoch [44][1300/3746] lr: 8.077e-02, eta: 2 days, 22:43:56, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5212, loss_cls: 6.9247, loss: 6.9247 2023-12-30 16:07:25,745 - pyskl - INFO - Epoch [44][1400/3746] lr: 8.075e-02, eta: 2 days, 22:42:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5252, loss_cls: 6.8881, loss: 6.8881 2023-12-30 16:08:26,169 - pyskl - INFO - Epoch [44][1500/3746] lr: 8.073e-02, eta: 2 days, 22:41:32, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2855, top5_acc: 0.5397, loss_cls: 6.8153, loss: 6.8153 2023-12-30 16:09:26,951 - pyskl - INFO - Epoch [44][1600/3746] lr: 8.071e-02, eta: 2 days, 22:40:21, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5272, loss_cls: 6.8771, loss: 6.8771 2023-12-30 16:10:27,359 - pyskl - INFO - Epoch [44][1700/3746] lr: 8.068e-02, eta: 2 days, 22:39:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5337, loss_cls: 6.8177, loss: 6.8177 2023-12-30 16:11:27,741 - pyskl - INFO - Epoch [44][1800/3746] lr: 8.066e-02, eta: 2 days, 22:37:58, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5359, loss_cls: 6.8259, loss: 6.8259 2023-12-30 16:12:28,478 - pyskl - INFO - Epoch [44][1900/3746] lr: 8.064e-02, eta: 2 days, 22:36:46, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5378, loss_cls: 6.8317, loss: 6.8317 2023-12-30 16:13:29,995 - pyskl - INFO - Epoch [44][2000/3746] lr: 8.062e-02, eta: 2 days, 22:35:37, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5364, loss_cls: 6.8117, loss: 6.8117 2023-12-30 16:14:30,734 - pyskl - INFO - Epoch [44][2100/3746] lr: 8.060e-02, eta: 2 days, 22:34:26, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5373, loss_cls: 6.8657, loss: 6.8657 2023-12-30 16:15:31,191 - pyskl - INFO - Epoch [44][2200/3746] lr: 8.057e-02, eta: 2 days, 22:33:15, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5303, loss_cls: 6.8721, loss: 6.8721 2023-12-30 16:16:31,645 - pyskl - INFO - Epoch [44][2300/3746] lr: 8.055e-02, eta: 2 days, 22:32:03, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5245, loss_cls: 6.8990, loss: 6.8990 2023-12-30 16:17:32,159 - pyskl - INFO - Epoch [44][2400/3746] lr: 8.053e-02, eta: 2 days, 22:30:51, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5353, loss_cls: 6.8586, loss: 6.8586 2023-12-30 16:18:33,096 - pyskl - INFO - Epoch [44][2500/3746] lr: 8.051e-02, eta: 2 days, 22:29:41, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5302, loss_cls: 6.8646, loss: 6.8646 2023-12-30 16:19:33,477 - pyskl - INFO - Epoch [44][2600/3746] lr: 8.048e-02, eta: 2 days, 22:28:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5241, loss_cls: 6.9181, loss: 6.9181 2023-12-30 16:20:34,009 - pyskl - INFO - Epoch [44][2700/3746] lr: 8.046e-02, eta: 2 days, 22:27:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5352, loss_cls: 6.8661, loss: 6.8661 2023-12-30 16:21:34,918 - pyskl - INFO - Epoch [44][2800/3746] lr: 8.044e-02, eta: 2 days, 22:26:07, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5170, loss_cls: 6.9188, loss: 6.9188 2023-12-30 16:22:35,484 - pyskl - INFO - Epoch [44][2900/3746] lr: 8.042e-02, eta: 2 days, 22:24:56, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5361, loss_cls: 6.8577, loss: 6.8577 2023-12-30 16:23:35,659 - pyskl - INFO - Epoch [44][3000/3746] lr: 8.040e-02, eta: 2 days, 22:23:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5202, loss_cls: 6.9061, loss: 6.9061 2023-12-30 16:24:35,697 - pyskl - INFO - Epoch [44][3100/3746] lr: 8.037e-02, eta: 2 days, 22:22:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5245, loss_cls: 6.9161, loss: 6.9161 2023-12-30 16:25:36,216 - pyskl - INFO - Epoch [44][3200/3746] lr: 8.035e-02, eta: 2 days, 22:21:20, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5188, loss_cls: 6.9107, loss: 6.9107 2023-12-30 16:26:36,534 - pyskl - INFO - Epoch [44][3300/3746] lr: 8.033e-02, eta: 2 days, 22:20:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5370, loss_cls: 6.8552, loss: 6.8552 2023-12-30 16:27:36,885 - pyskl - INFO - Epoch [44][3400/3746] lr: 8.031e-02, eta: 2 days, 22:18:56, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5353, loss_cls: 6.8749, loss: 6.8749 2023-12-30 16:28:37,242 - pyskl - INFO - Epoch [44][3500/3746] lr: 8.028e-02, eta: 2 days, 22:17:44, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5337, loss_cls: 6.8479, loss: 6.8479 2023-12-30 16:29:37,549 - pyskl - INFO - Epoch [44][3600/3746] lr: 8.026e-02, eta: 2 days, 22:16:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5233, loss_cls: 6.9095, loss: 6.9095 2023-12-30 16:30:37,825 - pyskl - INFO - Epoch [44][3700/3746] lr: 8.024e-02, eta: 2 days, 22:15:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5277, loss_cls: 6.8684, loss: 6.8684 2023-12-30 16:31:08,803 - pyskl - INFO - Saving checkpoint at 44 epochs 2023-12-30 16:33:10,695 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 16:33:11,746 - pyskl - INFO - top1_acc 0.2127 top5_acc 0.4417 2023-12-30 16:33:11,746 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 16:33:11,787 - pyskl - INFO - mean_acc 0.2126 2023-12-30 16:33:11,795 - pyskl - INFO - Epoch(val) [44][309] top1_acc: 0.2127, top5_acc: 0.4417, mean_class_accuracy: 0.2126 2023-12-30 16:36:33,321 - pyskl - INFO - Epoch [45][100/3746] lr: 8.021e-02, eta: 2 days, 22:18:09, time: 2.015, data_time: 1.420, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5336, loss_cls: 6.8260, loss: 6.8260 2023-12-30 16:37:33,318 - pyskl - INFO - Epoch [45][200/3746] lr: 8.019e-02, eta: 2 days, 22:16:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5370, loss_cls: 6.7976, loss: 6.7976 2023-12-30 16:38:33,424 - pyskl - INFO - Epoch [45][300/3746] lr: 8.016e-02, eta: 2 days, 22:15:43, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5381, loss_cls: 6.7867, loss: 6.7867 2023-12-30 16:39:33,709 - pyskl - INFO - Epoch [45][400/3746] lr: 8.014e-02, eta: 2 days, 22:14:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5267, loss_cls: 6.8410, loss: 6.8410 2023-12-30 16:40:34,270 - pyskl - INFO - Epoch [45][500/3746] lr: 8.012e-02, eta: 2 days, 22:13:20, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5372, loss_cls: 6.8473, loss: 6.8473 2023-12-30 16:41:34,839 - pyskl - INFO - Epoch [45][600/3746] lr: 8.010e-02, eta: 2 days, 22:12:09, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5342, loss_cls: 6.8418, loss: 6.8418 2023-12-30 16:42:35,152 - pyskl - INFO - Epoch [45][700/3746] lr: 8.007e-02, eta: 2 days, 22:10:57, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5305, loss_cls: 6.8581, loss: 6.8581 2023-12-30 16:43:35,504 - pyskl - INFO - Epoch [45][800/3746] lr: 8.005e-02, eta: 2 days, 22:09:45, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5345, loss_cls: 6.8393, loss: 6.8393 2023-12-30 16:44:35,347 - pyskl - INFO - Epoch [45][900/3746] lr: 8.003e-02, eta: 2 days, 22:08:32, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5352, loss_cls: 6.8539, loss: 6.8539 2023-12-30 16:45:35,435 - pyskl - INFO - Epoch [45][1000/3746] lr: 8.001e-02, eta: 2 days, 22:07:19, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5314, loss_cls: 6.8290, loss: 6.8290 2023-12-30 16:46:36,081 - pyskl - INFO - Epoch [45][1100/3746] lr: 7.998e-02, eta: 2 days, 22:06:08, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5377, loss_cls: 6.8284, loss: 6.8284 2023-12-30 16:47:36,951 - pyskl - INFO - Epoch [45][1200/3746] lr: 7.996e-02, eta: 2 days, 22:04:58, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5264, loss_cls: 6.8570, loss: 6.8570 2023-12-30 16:48:37,449 - pyskl - INFO - Epoch [45][1300/3746] lr: 7.994e-02, eta: 2 days, 22:03:46, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5197, loss_cls: 6.8773, loss: 6.8773 2023-12-30 16:49:38,338 - pyskl - INFO - Epoch [45][1400/3746] lr: 7.992e-02, eta: 2 days, 22:02:36, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5297, loss_cls: 6.8610, loss: 6.8610 2023-12-30 16:50:39,080 - pyskl - INFO - Epoch [45][1500/3746] lr: 7.990e-02, eta: 2 days, 22:01:25, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5384, loss_cls: 6.8163, loss: 6.8163 2023-12-30 16:51:39,765 - pyskl - INFO - Epoch [45][1600/3746] lr: 7.987e-02, eta: 2 days, 22:00:14, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5305, loss_cls: 6.8800, loss: 6.8800 2023-12-30 16:52:40,565 - pyskl - INFO - Epoch [45][1700/3746] lr: 7.985e-02, eta: 2 days, 21:59:03, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5356, loss_cls: 6.8504, loss: 6.8504 2023-12-30 16:53:41,536 - pyskl - INFO - Epoch [45][1800/3746] lr: 7.983e-02, eta: 2 days, 21:57:53, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5239, loss_cls: 6.8842, loss: 6.8842 2023-12-30 16:54:42,515 - pyskl - INFO - Epoch [45][1900/3746] lr: 7.981e-02, eta: 2 days, 21:56:43, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5417, loss_cls: 6.8203, loss: 6.8203 2023-12-30 16:55:43,755 - pyskl - INFO - Epoch [45][2000/3746] lr: 7.978e-02, eta: 2 days, 21:55:33, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5322, loss_cls: 6.8671, loss: 6.8671 2023-12-30 16:56:44,346 - pyskl - INFO - Epoch [45][2100/3746] lr: 7.976e-02, eta: 2 days, 21:54:22, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2731, top5_acc: 0.5244, loss_cls: 6.8909, loss: 6.8909 2023-12-30 16:57:44,369 - pyskl - INFO - Epoch [45][2200/3746] lr: 7.974e-02, eta: 2 days, 21:53:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5350, loss_cls: 6.8296, loss: 6.8296 2023-12-30 16:58:44,455 - pyskl - INFO - Epoch [45][2300/3746] lr: 7.972e-02, eta: 2 days, 21:51:57, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5272, loss_cls: 6.8575, loss: 6.8575 2023-12-30 16:59:45,377 - pyskl - INFO - Epoch [45][2400/3746] lr: 7.969e-02, eta: 2 days, 21:50:47, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5255, loss_cls: 6.8870, loss: 6.8870 2023-12-30 17:00:45,932 - pyskl - INFO - Epoch [45][2500/3746] lr: 7.967e-02, eta: 2 days, 21:49:36, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5245, loss_cls: 6.9060, loss: 6.9060 2023-12-30 17:01:46,647 - pyskl - INFO - Epoch [45][2600/3746] lr: 7.965e-02, eta: 2 days, 21:48:25, time: 0.607, data_time: 0.001, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5359, loss_cls: 6.8405, loss: 6.8405 2023-12-30 17:02:47,011 - pyskl - INFO - Epoch [45][2700/3746] lr: 7.963e-02, eta: 2 days, 21:47:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5347, loss_cls: 6.8571, loss: 6.8571 2023-12-30 17:03:47,968 - pyskl - INFO - Epoch [45][2800/3746] lr: 7.960e-02, eta: 2 days, 21:46:03, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5220, loss_cls: 6.8765, loss: 6.8765 2023-12-30 17:04:48,340 - pyskl - INFO - Epoch [45][2900/3746] lr: 7.958e-02, eta: 2 days, 21:44:52, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5225, loss_cls: 6.8847, loss: 6.8847 2023-12-30 17:05:48,381 - pyskl - INFO - Epoch [45][3000/3746] lr: 7.956e-02, eta: 2 days, 21:43:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5406, loss_cls: 6.8072, loss: 6.8072 2023-12-30 17:06:48,406 - pyskl - INFO - Epoch [45][3100/3746] lr: 7.954e-02, eta: 2 days, 21:42:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5372, loss_cls: 6.8470, loss: 6.8470 2023-12-30 17:07:48,746 - pyskl - INFO - Epoch [45][3200/3746] lr: 7.951e-02, eta: 2 days, 21:41:16, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5337, loss_cls: 6.8534, loss: 6.8534 2023-12-30 17:08:48,691 - pyskl - INFO - Epoch [45][3300/3746] lr: 7.949e-02, eta: 2 days, 21:40:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5247, loss_cls: 6.8694, loss: 6.8694 2023-12-30 17:09:49,273 - pyskl - INFO - Epoch [45][3400/3746] lr: 7.947e-02, eta: 2 days, 21:38:52, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5370, loss_cls: 6.8259, loss: 6.8259 2023-12-30 17:10:49,737 - pyskl - INFO - Epoch [45][3500/3746] lr: 7.945e-02, eta: 2 days, 21:37:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5363, loss_cls: 6.8521, loss: 6.8521 2023-12-30 17:11:50,368 - pyskl - INFO - Epoch [45][3600/3746] lr: 7.942e-02, eta: 2 days, 21:36:30, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5316, loss_cls: 6.8823, loss: 6.8823 2023-12-30 17:12:51,147 - pyskl - INFO - Epoch [45][3700/3746] lr: 7.940e-02, eta: 2 days, 21:35:20, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5241, loss_cls: 6.8959, loss: 6.8959 2023-12-30 17:13:21,741 - pyskl - INFO - Saving checkpoint at 45 epochs 2023-12-30 17:15:22,770 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 17:15:23,832 - pyskl - INFO - top1_acc 0.1907 top5_acc 0.4207 2023-12-30 17:15:23,832 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 17:15:23,871 - pyskl - INFO - mean_acc 0.1904 2023-12-30 17:15:23,879 - pyskl - INFO - Epoch(val) [45][309] top1_acc: 0.1907, top5_acc: 0.4207, mean_class_accuracy: 0.1904 2023-12-30 17:18:41,935 - pyskl - INFO - Epoch [46][100/3746] lr: 7.937e-02, eta: 2 days, 21:37:52, time: 1.980, data_time: 1.385, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5423, loss_cls: 6.8038, loss: 6.8038 2023-12-30 17:19:42,063 - pyskl - INFO - Epoch [46][200/3746] lr: 7.934e-02, eta: 2 days, 21:36:39, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5314, loss_cls: 6.8418, loss: 6.8418 2023-12-30 17:20:42,837 - pyskl - INFO - Epoch [46][300/3746] lr: 7.932e-02, eta: 2 days, 21:35:29, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5341, loss_cls: 6.8571, loss: 6.8571 2023-12-30 17:21:43,219 - pyskl - INFO - Epoch [46][400/3746] lr: 7.930e-02, eta: 2 days, 21:34:17, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5295, loss_cls: 6.8503, loss: 6.8503 2023-12-30 17:22:43,507 - pyskl - INFO - Epoch [46][500/3746] lr: 7.928e-02, eta: 2 days, 21:33:05, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5408, loss_cls: 6.8342, loss: 6.8342 2023-12-30 17:23:44,384 - pyskl - INFO - Epoch [46][600/3746] lr: 7.925e-02, eta: 2 days, 21:31:55, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5325, loss_cls: 6.8657, loss: 6.8657 2023-12-30 17:24:44,869 - pyskl - INFO - Epoch [46][700/3746] lr: 7.923e-02, eta: 2 days, 21:30:44, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5439, loss_cls: 6.8407, loss: 6.8407 2023-12-30 17:25:45,548 - pyskl - INFO - Epoch [46][800/3746] lr: 7.921e-02, eta: 2 days, 21:29:33, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5370, loss_cls: 6.8238, loss: 6.8238 2023-12-30 17:26:45,993 - pyskl - INFO - Epoch [46][900/3746] lr: 7.919e-02, eta: 2 days, 21:28:22, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5281, loss_cls: 6.8716, loss: 6.8716 2023-12-30 17:27:46,321 - pyskl - INFO - Epoch [46][1000/3746] lr: 7.916e-02, eta: 2 days, 21:27:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5245, loss_cls: 6.8682, loss: 6.8682 2023-12-30 17:28:47,116 - pyskl - INFO - Epoch [46][1100/3746] lr: 7.914e-02, eta: 2 days, 21:25:59, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5261, loss_cls: 6.8244, loss: 6.8244 2023-12-30 17:29:47,435 - pyskl - INFO - Epoch [46][1200/3746] lr: 7.912e-02, eta: 2 days, 21:24:48, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2792, top5_acc: 0.5386, loss_cls: 6.8181, loss: 6.8181 2023-12-30 17:30:48,169 - pyskl - INFO - Epoch [46][1300/3746] lr: 7.909e-02, eta: 2 days, 21:23:37, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5314, loss_cls: 6.8733, loss: 6.8733 2023-12-30 17:31:48,661 - pyskl - INFO - Epoch [46][1400/3746] lr: 7.907e-02, eta: 2 days, 21:22:26, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5392, loss_cls: 6.8196, loss: 6.8196 2023-12-30 17:32:49,125 - pyskl - INFO - Epoch [46][1500/3746] lr: 7.905e-02, eta: 2 days, 21:21:15, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5323, loss_cls: 6.8647, loss: 6.8647 2023-12-30 17:33:49,800 - pyskl - INFO - Epoch [46][1600/3746] lr: 7.903e-02, eta: 2 days, 21:20:04, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5320, loss_cls: 6.8525, loss: 6.8525 2023-12-30 17:34:50,395 - pyskl - INFO - Epoch [46][1700/3746] lr: 7.900e-02, eta: 2 days, 21:18:53, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5339, loss_cls: 6.8440, loss: 6.8440 2023-12-30 17:35:51,544 - pyskl - INFO - Epoch [46][1800/3746] lr: 7.898e-02, eta: 2 days, 21:17:43, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5366, loss_cls: 6.8433, loss: 6.8433 2023-12-30 17:36:53,364 - pyskl - INFO - Epoch [46][1900/3746] lr: 7.896e-02, eta: 2 days, 21:16:35, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5380, loss_cls: 6.8287, loss: 6.8287 2023-12-30 17:37:54,431 - pyskl - INFO - Epoch [46][2000/3746] lr: 7.894e-02, eta: 2 days, 21:15:26, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5256, loss_cls: 6.8919, loss: 6.8919 2023-12-30 17:38:54,759 - pyskl - INFO - Epoch [46][2100/3746] lr: 7.891e-02, eta: 2 days, 21:14:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5442, loss_cls: 6.7822, loss: 6.7822 2023-12-30 17:39:55,640 - pyskl - INFO - Epoch [46][2200/3746] lr: 7.889e-02, eta: 2 days, 21:13:04, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5297, loss_cls: 6.8680, loss: 6.8680 2023-12-30 17:40:57,149 - pyskl - INFO - Epoch [46][2300/3746] lr: 7.887e-02, eta: 2 days, 21:11:55, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2875, top5_acc: 0.5259, loss_cls: 6.8597, loss: 6.8597 2023-12-30 17:41:58,319 - pyskl - INFO - Epoch [46][2400/3746] lr: 7.884e-02, eta: 2 days, 21:10:46, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5441, loss_cls: 6.7876, loss: 6.7876 2023-12-30 17:42:59,285 - pyskl - INFO - Epoch [46][2500/3746] lr: 7.882e-02, eta: 2 days, 21:09:36, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5178, loss_cls: 6.9145, loss: 6.9145 2023-12-30 17:44:00,034 - pyskl - INFO - Epoch [46][2600/3746] lr: 7.880e-02, eta: 2 days, 21:08:25, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5266, loss_cls: 6.8610, loss: 6.8610 2023-12-30 17:45:00,796 - pyskl - INFO - Epoch [46][2700/3746] lr: 7.878e-02, eta: 2 days, 21:07:15, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5372, loss_cls: 6.8398, loss: 6.8398 2023-12-30 17:46:01,663 - pyskl - INFO - Epoch [46][2800/3746] lr: 7.875e-02, eta: 2 days, 21:06:05, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5245, loss_cls: 6.8834, loss: 6.8834 2023-12-30 17:47:01,974 - pyskl - INFO - Epoch [46][2900/3746] lr: 7.873e-02, eta: 2 days, 21:04:53, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5281, loss_cls: 6.8704, loss: 6.8704 2023-12-30 17:48:02,258 - pyskl - INFO - Epoch [46][3000/3746] lr: 7.871e-02, eta: 2 days, 21:03:42, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5247, loss_cls: 6.8760, loss: 6.8760 2023-12-30 17:49:02,414 - pyskl - INFO - Epoch [46][3100/3746] lr: 7.868e-02, eta: 2 days, 21:02:30, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5259, loss_cls: 6.8449, loss: 6.8449 2023-12-30 17:50:02,416 - pyskl - INFO - Epoch [46][3200/3746] lr: 7.866e-02, eta: 2 days, 21:01:18, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5397, loss_cls: 6.8038, loss: 6.8038 2023-12-30 17:51:03,076 - pyskl - INFO - Epoch [46][3300/3746] lr: 7.864e-02, eta: 2 days, 21:00:07, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5244, loss_cls: 6.8687, loss: 6.8687 2023-12-30 17:52:04,046 - pyskl - INFO - Epoch [46][3400/3746] lr: 7.862e-02, eta: 2 days, 20:58:58, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5306, loss_cls: 6.8560, loss: 6.8560 2023-12-30 17:53:04,677 - pyskl - INFO - Epoch [46][3500/3746] lr: 7.859e-02, eta: 2 days, 20:57:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5345, loss_cls: 6.8156, loss: 6.8156 2023-12-30 17:54:04,903 - pyskl - INFO - Epoch [46][3600/3746] lr: 7.857e-02, eta: 2 days, 20:56:35, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5319, loss_cls: 6.8564, loss: 6.8564 2023-12-30 17:55:05,522 - pyskl - INFO - Epoch [46][3700/3746] lr: 7.855e-02, eta: 2 days, 20:55:25, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5245, loss_cls: 6.8706, loss: 6.8706 2023-12-30 17:55:36,055 - pyskl - INFO - Saving checkpoint at 46 epochs 2023-12-30 17:57:37,339 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 17:57:38,419 - pyskl - INFO - top1_acc 0.2047 top5_acc 0.4505 2023-12-30 17:57:38,419 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 17:57:38,470 - pyskl - INFO - mean_acc 0.2047 2023-12-30 17:57:38,484 - pyskl - INFO - Epoch(val) [46][309] top1_acc: 0.2047, top5_acc: 0.4505, mean_class_accuracy: 0.2047 2023-12-30 18:01:09,141 - pyskl - INFO - Epoch [47][100/3746] lr: 7.851e-02, eta: 2 days, 20:58:18, time: 2.106, data_time: 1.514, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5439, loss_cls: 6.7780, loss: 6.7780 2023-12-30 18:02:09,743 - pyskl - INFO - Epoch [47][200/3746] lr: 7.849e-02, eta: 2 days, 20:57:07, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5384, loss_cls: 6.7998, loss: 6.7998 2023-12-30 18:03:10,612 - pyskl - INFO - Epoch [47][300/3746] lr: 7.847e-02, eta: 2 days, 20:55:57, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2822, top5_acc: 0.5347, loss_cls: 6.8257, loss: 6.8257 2023-12-30 18:04:11,266 - pyskl - INFO - Epoch [47][400/3746] lr: 7.844e-02, eta: 2 days, 20:54:46, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5406, loss_cls: 6.8187, loss: 6.8187 2023-12-30 18:05:12,238 - pyskl - INFO - Epoch [47][500/3746] lr: 7.842e-02, eta: 2 days, 20:53:36, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2911, top5_acc: 0.5405, loss_cls: 6.8058, loss: 6.8058 2023-12-30 18:06:12,665 - pyskl - INFO - Epoch [47][600/3746] lr: 7.840e-02, eta: 2 days, 20:52:25, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5350, loss_cls: 6.8410, loss: 6.8410 2023-12-30 18:07:13,371 - pyskl - INFO - Epoch [47][700/3746] lr: 7.838e-02, eta: 2 days, 20:51:14, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5392, loss_cls: 6.8549, loss: 6.8549 2023-12-30 18:08:13,886 - pyskl - INFO - Epoch [47][800/3746] lr: 7.835e-02, eta: 2 days, 20:50:03, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5303, loss_cls: 6.8752, loss: 6.8752 2023-12-30 18:09:14,198 - pyskl - INFO - Epoch [47][900/3746] lr: 7.833e-02, eta: 2 days, 20:48:52, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5311, loss_cls: 6.8720, loss: 6.8720 2023-12-30 18:10:14,653 - pyskl - INFO - Epoch [47][1000/3746] lr: 7.831e-02, eta: 2 days, 20:47:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5461, loss_cls: 6.8005, loss: 6.8005 2023-12-30 18:11:14,916 - pyskl - INFO - Epoch [47][1100/3746] lr: 7.828e-02, eta: 2 days, 20:46:29, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2828, top5_acc: 0.5341, loss_cls: 6.8453, loss: 6.8453 2023-12-30 18:12:15,395 - pyskl - INFO - Epoch [47][1200/3746] lr: 7.826e-02, eta: 2 days, 20:45:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5294, loss_cls: 6.8798, loss: 6.8798 2023-12-30 18:13:15,776 - pyskl - INFO - Epoch [47][1300/3746] lr: 7.824e-02, eta: 2 days, 20:44:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5261, loss_cls: 6.8748, loss: 6.8748 2023-12-30 18:14:16,448 - pyskl - INFO - Epoch [47][1400/3746] lr: 7.821e-02, eta: 2 days, 20:42:56, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5327, loss_cls: 6.8457, loss: 6.8457 2023-12-30 18:15:17,489 - pyskl - INFO - Epoch [47][1500/3746] lr: 7.819e-02, eta: 2 days, 20:41:47, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5434, loss_cls: 6.7911, loss: 6.7911 2023-12-30 18:16:18,511 - pyskl - INFO - Epoch [47][1600/3746] lr: 7.817e-02, eta: 2 days, 20:40:37, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5244, loss_cls: 6.8838, loss: 6.8838 2023-12-30 18:17:19,938 - pyskl - INFO - Epoch [47][1700/3746] lr: 7.814e-02, eta: 2 days, 20:39:28, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5448, loss_cls: 6.8131, loss: 6.8131 2023-12-30 18:18:21,130 - pyskl - INFO - Epoch [47][1800/3746] lr: 7.812e-02, eta: 2 days, 20:38:19, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5266, loss_cls: 6.8743, loss: 6.8743 2023-12-30 18:19:22,445 - pyskl - INFO - Epoch [47][1900/3746] lr: 7.810e-02, eta: 2 days, 20:37:09, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5234, loss_cls: 6.8806, loss: 6.8806 2023-12-30 18:20:22,895 - pyskl - INFO - Epoch [47][2000/3746] lr: 7.808e-02, eta: 2 days, 20:35:58, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2731, top5_acc: 0.5255, loss_cls: 6.8789, loss: 6.8789 2023-12-30 18:21:23,507 - pyskl - INFO - Epoch [47][2100/3746] lr: 7.805e-02, eta: 2 days, 20:34:48, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5350, loss_cls: 6.8603, loss: 6.8603 2023-12-30 18:22:23,609 - pyskl - INFO - Epoch [47][2200/3746] lr: 7.803e-02, eta: 2 days, 20:33:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2917, top5_acc: 0.5411, loss_cls: 6.7996, loss: 6.7996 2023-12-30 18:23:24,327 - pyskl - INFO - Epoch [47][2300/3746] lr: 7.801e-02, eta: 2 days, 20:32:26, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5264, loss_cls: 6.8851, loss: 6.8851 2023-12-30 18:24:25,060 - pyskl - INFO - Epoch [47][2400/3746] lr: 7.798e-02, eta: 2 days, 20:31:15, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5378, loss_cls: 6.8271, loss: 6.8271 2023-12-30 18:25:25,663 - pyskl - INFO - Epoch [47][2500/3746] lr: 7.796e-02, eta: 2 days, 20:30:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5478, loss_cls: 6.8068, loss: 6.8068 2023-12-30 18:26:26,225 - pyskl - INFO - Epoch [47][2600/3746] lr: 7.794e-02, eta: 2 days, 20:28:54, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5306, loss_cls: 6.8143, loss: 6.8143 2023-12-30 18:27:27,006 - pyskl - INFO - Epoch [47][2700/3746] lr: 7.791e-02, eta: 2 days, 20:27:44, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5356, loss_cls: 6.8142, loss: 6.8142 2023-12-30 18:28:27,196 - pyskl - INFO - Epoch [47][2800/3746] lr: 7.789e-02, eta: 2 days, 20:26:33, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5373, loss_cls: 6.8102, loss: 6.8102 2023-12-30 18:29:27,862 - pyskl - INFO - Epoch [47][2900/3746] lr: 7.787e-02, eta: 2 days, 20:25:22, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5225, loss_cls: 6.8900, loss: 6.8900 2023-12-30 18:30:27,790 - pyskl - INFO - Epoch [47][3000/3746] lr: 7.784e-02, eta: 2 days, 20:24:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5422, loss_cls: 6.7880, loss: 6.7880 2023-12-30 18:31:27,862 - pyskl - INFO - Epoch [47][3100/3746] lr: 7.782e-02, eta: 2 days, 20:22:58, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5381, loss_cls: 6.8230, loss: 6.8230 2023-12-30 18:32:28,067 - pyskl - INFO - Epoch [47][3200/3746] lr: 7.780e-02, eta: 2 days, 20:21:47, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5414, loss_cls: 6.7984, loss: 6.7984 2023-12-30 18:33:28,306 - pyskl - INFO - Epoch [47][3300/3746] lr: 7.777e-02, eta: 2 days, 20:20:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5288, loss_cls: 6.8901, loss: 6.8901 2023-12-30 18:34:28,609 - pyskl - INFO - Epoch [47][3400/3746] lr: 7.775e-02, eta: 2 days, 20:19:25, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5383, loss_cls: 6.8224, loss: 6.8224 2023-12-30 18:35:29,010 - pyskl - INFO - Epoch [47][3500/3746] lr: 7.773e-02, eta: 2 days, 20:18:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5278, loss_cls: 6.8721, loss: 6.8721 2023-12-30 18:36:29,093 - pyskl - INFO - Epoch [47][3600/3746] lr: 7.770e-02, eta: 2 days, 20:17:02, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5308, loss_cls: 6.8649, loss: 6.8649 2023-12-30 18:37:29,487 - pyskl - INFO - Epoch [47][3700/3746] lr: 7.768e-02, eta: 2 days, 20:15:51, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5272, loss_cls: 6.8890, loss: 6.8890 2023-12-30 18:37:59,772 - pyskl - INFO - Saving checkpoint at 47 epochs 2023-12-30 18:39:57,707 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 18:39:58,533 - pyskl - INFO - top1_acc 0.2178 top5_acc 0.4542 2023-12-30 18:39:58,533 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 18:39:58,564 - pyskl - INFO - mean_acc 0.2178 2023-12-30 18:39:58,570 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_38.pth was removed 2023-12-30 18:39:58,811 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. 2023-12-30 18:39:58,812 - pyskl - INFO - Best top1_acc is 0.2178 at 47 epoch. 2023-12-30 18:39:58,818 - pyskl - INFO - Epoch(val) [47][309] top1_acc: 0.2178, top5_acc: 0.4542, mean_class_accuracy: 0.2178 2023-12-30 18:43:20,672 - pyskl - INFO - Epoch [48][100/3746] lr: 7.765e-02, eta: 2 days, 20:18:17, time: 2.018, data_time: 1.426, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5520, loss_cls: 6.7754, loss: 6.7754 2023-12-30 18:44:20,233 - pyskl - INFO - Epoch [48][200/3746] lr: 7.762e-02, eta: 2 days, 20:17:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5442, loss_cls: 6.7486, loss: 6.7486 2023-12-30 18:45:20,290 - pyskl - INFO - Epoch [48][300/3746] lr: 7.760e-02, eta: 2 days, 20:15:52, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5389, loss_cls: 6.8220, loss: 6.8220 2023-12-30 18:46:20,591 - pyskl - INFO - Epoch [48][400/3746] lr: 7.758e-02, eta: 2 days, 20:14:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5484, loss_cls: 6.7917, loss: 6.7917 2023-12-30 18:47:20,860 - pyskl - INFO - Epoch [48][500/3746] lr: 7.755e-02, eta: 2 days, 20:13:29, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5405, loss_cls: 6.8187, loss: 6.8187 2023-12-30 18:48:21,344 - pyskl - INFO - Epoch [48][600/3746] lr: 7.753e-02, eta: 2 days, 20:12:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5358, loss_cls: 6.8135, loss: 6.8135 2023-12-30 18:49:21,768 - pyskl - INFO - Epoch [48][700/3746] lr: 7.751e-02, eta: 2 days, 20:11:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2881, top5_acc: 0.5387, loss_cls: 6.7818, loss: 6.7818 2023-12-30 18:50:21,627 - pyskl - INFO - Epoch [48][800/3746] lr: 7.748e-02, eta: 2 days, 20:09:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5347, loss_cls: 6.8001, loss: 6.8001 2023-12-30 18:51:21,970 - pyskl - INFO - Epoch [48][900/3746] lr: 7.746e-02, eta: 2 days, 20:08:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5378, loss_cls: 6.8438, loss: 6.8438 2023-12-30 18:52:23,045 - pyskl - INFO - Epoch [48][1000/3746] lr: 7.744e-02, eta: 2 days, 20:07:35, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5397, loss_cls: 6.8073, loss: 6.8073 2023-12-30 18:53:23,673 - pyskl - INFO - Epoch [48][1100/3746] lr: 7.741e-02, eta: 2 days, 20:06:24, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5308, loss_cls: 6.8544, loss: 6.8544 2023-12-30 18:54:23,998 - pyskl - INFO - Epoch [48][1200/3746] lr: 7.739e-02, eta: 2 days, 20:05:13, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5297, loss_cls: 6.8745, loss: 6.8745 2023-12-30 18:55:24,053 - pyskl - INFO - Epoch [48][1300/3746] lr: 7.737e-02, eta: 2 days, 20:04:01, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5345, loss_cls: 6.8437, loss: 6.8437 2023-12-30 18:56:24,190 - pyskl - INFO - Epoch [48][1400/3746] lr: 7.734e-02, eta: 2 days, 20:02:50, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5330, loss_cls: 6.8230, loss: 6.8230 2023-12-30 18:57:24,354 - pyskl - INFO - Epoch [48][1500/3746] lr: 7.732e-02, eta: 2 days, 20:01:38, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5294, loss_cls: 6.8743, loss: 6.8743 2023-12-30 18:58:24,622 - pyskl - INFO - Epoch [48][1600/3746] lr: 7.730e-02, eta: 2 days, 20:00:27, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5453, loss_cls: 6.8057, loss: 6.8057 2023-12-30 18:59:25,715 - pyskl - INFO - Epoch [48][1700/3746] lr: 7.727e-02, eta: 2 days, 19:59:18, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2866, top5_acc: 0.5319, loss_cls: 6.8422, loss: 6.8422 2023-12-30 19:00:27,080 - pyskl - INFO - Epoch [48][1800/3746] lr: 7.725e-02, eta: 2 days, 19:58:09, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5247, loss_cls: 6.8701, loss: 6.8701 2023-12-30 19:01:27,914 - pyskl - INFO - Epoch [48][1900/3746] lr: 7.723e-02, eta: 2 days, 19:56:59, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5408, loss_cls: 6.8177, loss: 6.8177 2023-12-30 19:02:28,597 - pyskl - INFO - Epoch [48][2000/3746] lr: 7.720e-02, eta: 2 days, 19:55:49, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5358, loss_cls: 6.8606, loss: 6.8606 2023-12-30 19:03:29,122 - pyskl - INFO - Epoch [48][2100/3746] lr: 7.718e-02, eta: 2 days, 19:54:38, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5278, loss_cls: 6.8739, loss: 6.8739 2023-12-30 19:04:29,539 - pyskl - INFO - Epoch [48][2200/3746] lr: 7.716e-02, eta: 2 days, 19:53:28, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5214, loss_cls: 6.8890, loss: 6.8890 2023-12-30 19:05:30,571 - pyskl - INFO - Epoch [48][2300/3746] lr: 7.713e-02, eta: 2 days, 19:52:18, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5292, loss_cls: 6.8658, loss: 6.8658 2023-12-30 19:06:31,014 - pyskl - INFO - Epoch [48][2400/3746] lr: 7.711e-02, eta: 2 days, 19:51:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5211, loss_cls: 6.8644, loss: 6.8644 2023-12-30 19:07:31,667 - pyskl - INFO - Epoch [48][2500/3746] lr: 7.709e-02, eta: 2 days, 19:49:57, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5363, loss_cls: 6.8243, loss: 6.8243 2023-12-30 19:08:32,682 - pyskl - INFO - Epoch [48][2600/3746] lr: 7.706e-02, eta: 2 days, 19:48:48, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5292, loss_cls: 6.8538, loss: 6.8538 2023-12-30 19:09:32,994 - pyskl - INFO - Epoch [48][2700/3746] lr: 7.704e-02, eta: 2 days, 19:47:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5344, loss_cls: 6.8466, loss: 6.8466 2023-12-30 19:10:33,403 - pyskl - INFO - Epoch [48][2800/3746] lr: 7.701e-02, eta: 2 days, 19:46:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5305, loss_cls: 6.8635, loss: 6.8635 2023-12-30 19:11:33,619 - pyskl - INFO - Epoch [48][2900/3746] lr: 7.699e-02, eta: 2 days, 19:45:15, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5298, loss_cls: 6.8793, loss: 6.8793 2023-12-30 19:12:33,411 - pyskl - INFO - Epoch [48][3000/3746] lr: 7.697e-02, eta: 2 days, 19:44:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5241, loss_cls: 6.8497, loss: 6.8497 2023-12-30 19:13:33,567 - pyskl - INFO - Epoch [48][3100/3746] lr: 7.694e-02, eta: 2 days, 19:42:51, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5330, loss_cls: 6.8598, loss: 6.8598 2023-12-30 19:14:33,406 - pyskl - INFO - Epoch [48][3200/3746] lr: 7.692e-02, eta: 2 days, 19:41:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5387, loss_cls: 6.8458, loss: 6.8458 2023-12-30 19:15:33,531 - pyskl - INFO - Epoch [48][3300/3746] lr: 7.690e-02, eta: 2 days, 19:40:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5445, loss_cls: 6.8327, loss: 6.8327 2023-12-30 19:16:33,690 - pyskl - INFO - Epoch [48][3400/3746] lr: 7.687e-02, eta: 2 days, 19:39:17, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5420, loss_cls: 6.8146, loss: 6.8146 2023-12-30 19:17:34,094 - pyskl - INFO - Epoch [48][3500/3746] lr: 7.685e-02, eta: 2 days, 19:38:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5372, loss_cls: 6.8584, loss: 6.8584 2023-12-30 19:18:34,065 - pyskl - INFO - Epoch [48][3600/3746] lr: 7.683e-02, eta: 2 days, 19:36:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2875, top5_acc: 0.5384, loss_cls: 6.7942, loss: 6.7942 2023-12-30 19:19:34,297 - pyskl - INFO - Epoch [48][3700/3746] lr: 7.680e-02, eta: 2 days, 19:35:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5286, loss_cls: 6.8335, loss: 6.8335 2023-12-30 19:20:04,645 - pyskl - INFO - Saving checkpoint at 48 epochs 2023-12-30 19:22:04,020 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 19:22:04,819 - pyskl - INFO - top1_acc 0.2158 top5_acc 0.4476 2023-12-30 19:22:04,819 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 19:22:04,850 - pyskl - INFO - mean_acc 0.2157 2023-12-30 19:22:04,857 - pyskl - INFO - Epoch(val) [48][309] top1_acc: 0.2158, top5_acc: 0.4476, mean_class_accuracy: 0.2157 2023-12-30 19:25:26,454 - pyskl - INFO - Epoch [49][100/3746] lr: 7.677e-02, eta: 2 days, 19:38:01, time: 2.016, data_time: 1.420, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5398, loss_cls: 6.7764, loss: 6.7764 2023-12-30 19:26:26,027 - pyskl - INFO - Epoch [49][200/3746] lr: 7.674e-02, eta: 2 days, 19:36:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5475, loss_cls: 6.7610, loss: 6.7610 2023-12-30 19:27:26,021 - pyskl - INFO - Epoch [49][300/3746] lr: 7.672e-02, eta: 2 days, 19:35:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5372, loss_cls: 6.7793, loss: 6.7793 2023-12-30 19:28:26,508 - pyskl - INFO - Epoch [49][400/3746] lr: 7.670e-02, eta: 2 days, 19:34:27, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5434, loss_cls: 6.7885, loss: 6.7885 2023-12-30 19:29:26,557 - pyskl - INFO - Epoch [49][500/3746] lr: 7.667e-02, eta: 2 days, 19:33:15, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5414, loss_cls: 6.8388, loss: 6.8388 2023-12-30 19:30:26,818 - pyskl - INFO - Epoch [49][600/3746] lr: 7.665e-02, eta: 2 days, 19:32:04, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5373, loss_cls: 6.8299, loss: 6.8299 2023-12-30 19:31:28,025 - pyskl - INFO - Epoch [49][700/3746] lr: 7.663e-02, eta: 2 days, 19:30:55, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5394, loss_cls: 6.8151, loss: 6.8151 2023-12-30 19:32:28,945 - pyskl - INFO - Epoch [49][800/3746] lr: 7.660e-02, eta: 2 days, 19:29:45, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5358, loss_cls: 6.8398, loss: 6.8398 2023-12-30 19:33:29,587 - pyskl - INFO - Epoch [49][900/3746] lr: 7.658e-02, eta: 2 days, 19:28:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5387, loss_cls: 6.8538, loss: 6.8538 2023-12-30 19:34:29,803 - pyskl - INFO - Epoch [49][1000/3746] lr: 7.656e-02, eta: 2 days, 19:27:24, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5345, loss_cls: 6.8623, loss: 6.8623 2023-12-30 19:35:30,177 - pyskl - INFO - Epoch [49][1100/3746] lr: 7.653e-02, eta: 2 days, 19:26:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5444, loss_cls: 6.7937, loss: 6.7937 2023-12-30 19:36:31,102 - pyskl - INFO - Epoch [49][1200/3746] lr: 7.651e-02, eta: 2 days, 19:25:03, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2872, top5_acc: 0.5441, loss_cls: 6.7865, loss: 6.7865 2023-12-30 19:37:32,258 - pyskl - INFO - Epoch [49][1300/3746] lr: 7.648e-02, eta: 2 days, 19:23:54, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5408, loss_cls: 6.8165, loss: 6.8165 2023-12-30 19:38:33,336 - pyskl - INFO - Epoch [49][1400/3746] lr: 7.646e-02, eta: 2 days, 19:22:45, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5337, loss_cls: 6.8396, loss: 6.8396 2023-12-30 19:39:33,844 - pyskl - INFO - Epoch [49][1500/3746] lr: 7.644e-02, eta: 2 days, 19:21:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5356, loss_cls: 6.8343, loss: 6.8343 2023-12-30 19:40:34,449 - pyskl - INFO - Epoch [49][1600/3746] lr: 7.641e-02, eta: 2 days, 19:20:24, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5392, loss_cls: 6.8083, loss: 6.8083 2023-12-30 19:41:35,281 - pyskl - INFO - Epoch [49][1700/3746] lr: 7.639e-02, eta: 2 days, 19:19:15, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5395, loss_cls: 6.8270, loss: 6.8270 2023-12-30 19:42:36,728 - pyskl - INFO - Epoch [49][1800/3746] lr: 7.637e-02, eta: 2 days, 19:18:06, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5386, loss_cls: 6.8348, loss: 6.8348 2023-12-30 19:43:37,463 - pyskl - INFO - Epoch [49][1900/3746] lr: 7.634e-02, eta: 2 days, 19:16:56, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5411, loss_cls: 6.8211, loss: 6.8211 2023-12-30 19:44:37,915 - pyskl - INFO - Epoch [49][2000/3746] lr: 7.632e-02, eta: 2 days, 19:15:46, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5295, loss_cls: 6.8519, loss: 6.8519 2023-12-30 19:45:38,376 - pyskl - INFO - Epoch [49][2100/3746] lr: 7.629e-02, eta: 2 days, 19:14:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2877, top5_acc: 0.5370, loss_cls: 6.8089, loss: 6.8089 2023-12-30 19:46:38,795 - pyskl - INFO - Epoch [49][2200/3746] lr: 7.627e-02, eta: 2 days, 19:13:25, time: 0.604, data_time: 0.001, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5381, loss_cls: 6.8295, loss: 6.8295 2023-12-30 19:47:39,644 - pyskl - INFO - Epoch [49][2300/3746] lr: 7.625e-02, eta: 2 days, 19:12:15, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5262, loss_cls: 6.8587, loss: 6.8587 2023-12-30 19:48:39,850 - pyskl - INFO - Epoch [49][2400/3746] lr: 7.622e-02, eta: 2 days, 19:11:04, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5369, loss_cls: 6.8513, loss: 6.8513 2023-12-30 19:49:40,585 - pyskl - INFO - Epoch [49][2500/3746] lr: 7.620e-02, eta: 2 days, 19:09:54, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5330, loss_cls: 6.8289, loss: 6.8289 2023-12-30 19:50:41,108 - pyskl - INFO - Epoch [49][2600/3746] lr: 7.618e-02, eta: 2 days, 19:08:44, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5320, loss_cls: 6.8841, loss: 6.8841 2023-12-30 19:51:42,133 - pyskl - INFO - Epoch [49][2700/3746] lr: 7.615e-02, eta: 2 days, 19:07:35, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5305, loss_cls: 6.8305, loss: 6.8305 2023-12-30 19:52:43,044 - pyskl - INFO - Epoch [49][2800/3746] lr: 7.613e-02, eta: 2 days, 19:06:25, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5397, loss_cls: 6.7975, loss: 6.7975 2023-12-30 19:53:43,754 - pyskl - INFO - Epoch [49][2900/3746] lr: 7.610e-02, eta: 2 days, 19:05:15, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5366, loss_cls: 6.8422, loss: 6.8422 2023-12-30 19:54:43,892 - pyskl - INFO - Epoch [49][3000/3746] lr: 7.608e-02, eta: 2 days, 19:04:04, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5400, loss_cls: 6.8195, loss: 6.8195 2023-12-30 19:55:43,938 - pyskl - INFO - Epoch [49][3100/3746] lr: 7.606e-02, eta: 2 days, 19:02:53, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5358, loss_cls: 6.8401, loss: 6.8401 2023-12-30 19:56:44,053 - pyskl - INFO - Epoch [49][3200/3746] lr: 7.603e-02, eta: 2 days, 19:01:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5283, loss_cls: 6.8563, loss: 6.8563 2023-12-30 19:57:44,100 - pyskl - INFO - Epoch [49][3300/3746] lr: 7.601e-02, eta: 2 days, 19:00:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5456, loss_cls: 6.8063, loss: 6.8063 2023-12-30 19:58:44,437 - pyskl - INFO - Epoch [49][3400/3746] lr: 7.598e-02, eta: 2 days, 18:59:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5484, loss_cls: 6.8074, loss: 6.8074 2023-12-30 19:59:44,492 - pyskl - INFO - Epoch [49][3500/3746] lr: 7.596e-02, eta: 2 days, 18:58:09, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5330, loss_cls: 6.8624, loss: 6.8624 2023-12-30 20:00:44,871 - pyskl - INFO - Epoch [49][3600/3746] lr: 7.594e-02, eta: 2 days, 18:56:58, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5281, loss_cls: 6.8803, loss: 6.8803 2023-12-30 20:01:45,358 - pyskl - INFO - Epoch [49][3700/3746] lr: 7.591e-02, eta: 2 days, 18:55:48, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5469, loss_cls: 6.7816, loss: 6.7816 2023-12-30 20:02:15,758 - pyskl - INFO - Saving checkpoint at 49 epochs 2023-12-30 20:04:14,756 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 20:04:15,748 - pyskl - INFO - top1_acc 0.2209 top5_acc 0.4560 2023-12-30 20:04:15,749 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 20:04:15,788 - pyskl - INFO - mean_acc 0.2207 2023-12-30 20:04:15,794 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_47.pth was removed 2023-12-30 20:04:16,013 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth. 2023-12-30 20:04:16,014 - pyskl - INFO - Best top1_acc is 0.2209 at 49 epoch. 2023-12-30 20:04:16,024 - pyskl - INFO - Epoch(val) [49][309] top1_acc: 0.2209, top5_acc: 0.4560, mean_class_accuracy: 0.2207 2023-12-30 20:07:38,143 - pyskl - INFO - Epoch [50][100/3746] lr: 7.588e-02, eta: 2 days, 18:58:00, time: 2.021, data_time: 1.427, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5363, loss_cls: 6.8130, loss: 6.8130 2023-12-30 20:08:37,966 - pyskl - INFO - Epoch [50][200/3746] lr: 7.585e-02, eta: 2 days, 18:56:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5447, loss_cls: 6.7834, loss: 6.7834 2023-12-30 20:09:38,300 - pyskl - INFO - Epoch [50][300/3746] lr: 7.583e-02, eta: 2 days, 18:55:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2945, top5_acc: 0.5531, loss_cls: 6.7640, loss: 6.7640 2023-12-30 20:10:38,477 - pyskl - INFO - Epoch [50][400/3746] lr: 7.581e-02, eta: 2 days, 18:54:26, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5427, loss_cls: 6.8022, loss: 6.8022 2023-12-30 20:11:38,644 - pyskl - INFO - Epoch [50][500/3746] lr: 7.578e-02, eta: 2 days, 18:53:15, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5336, loss_cls: 6.8229, loss: 6.8229 2023-12-30 20:12:38,836 - pyskl - INFO - Epoch [50][600/3746] lr: 7.576e-02, eta: 2 days, 18:52:04, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5517, loss_cls: 6.7487, loss: 6.7487 2023-12-30 20:13:39,165 - pyskl - INFO - Epoch [50][700/3746] lr: 7.573e-02, eta: 2 days, 18:50:54, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5483, loss_cls: 6.7949, loss: 6.7949 2023-12-30 20:14:39,452 - pyskl - INFO - Epoch [50][800/3746] lr: 7.571e-02, eta: 2 days, 18:49:43, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2786, top5_acc: 0.5352, loss_cls: 6.8480, loss: 6.8480 2023-12-30 20:15:39,776 - pyskl - INFO - Epoch [50][900/3746] lr: 7.569e-02, eta: 2 days, 18:48:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5325, loss_cls: 6.8047, loss: 6.8047 2023-12-30 20:16:39,970 - pyskl - INFO - Epoch [50][1000/3746] lr: 7.566e-02, eta: 2 days, 18:47:21, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2822, top5_acc: 0.5367, loss_cls: 6.8394, loss: 6.8394 2023-12-30 20:17:40,392 - pyskl - INFO - Epoch [50][1100/3746] lr: 7.564e-02, eta: 2 days, 18:46:11, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5297, loss_cls: 6.8557, loss: 6.8557 2023-12-30 20:18:40,699 - pyskl - INFO - Epoch [50][1200/3746] lr: 7.561e-02, eta: 2 days, 18:45:00, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5331, loss_cls: 6.8212, loss: 6.8212 2023-12-30 20:19:41,685 - pyskl - INFO - Epoch [50][1300/3746] lr: 7.559e-02, eta: 2 days, 18:43:51, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5322, loss_cls: 6.8637, loss: 6.8637 2023-12-30 20:20:42,896 - pyskl - INFO - Epoch [50][1400/3746] lr: 7.557e-02, eta: 2 days, 18:42:42, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5486, loss_cls: 6.7683, loss: 6.7683 2023-12-30 20:21:43,864 - pyskl - INFO - Epoch [50][1500/3746] lr: 7.554e-02, eta: 2 days, 18:41:33, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5406, loss_cls: 6.8336, loss: 6.8336 2023-12-30 20:22:44,978 - pyskl - INFO - Epoch [50][1600/3746] lr: 7.552e-02, eta: 2 days, 18:40:24, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5372, loss_cls: 6.8227, loss: 6.8227 2023-12-30 20:23:46,082 - pyskl - INFO - Epoch [50][1700/3746] lr: 7.549e-02, eta: 2 days, 18:39:15, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5353, loss_cls: 6.8175, loss: 6.8175 2023-12-30 20:24:47,322 - pyskl - INFO - Epoch [50][1800/3746] lr: 7.547e-02, eta: 2 days, 18:38:06, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5484, loss_cls: 6.7924, loss: 6.7924 2023-12-30 20:25:48,221 - pyskl - INFO - Epoch [50][1900/3746] lr: 7.545e-02, eta: 2 days, 18:36:57, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5498, loss_cls: 6.7821, loss: 6.7821 2023-12-30 20:26:48,747 - pyskl - INFO - Epoch [50][2000/3746] lr: 7.542e-02, eta: 2 days, 18:35:46, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5327, loss_cls: 6.8680, loss: 6.8680 2023-12-30 20:27:49,114 - pyskl - INFO - Epoch [50][2100/3746] lr: 7.540e-02, eta: 2 days, 18:34:36, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5395, loss_cls: 6.8115, loss: 6.8115 2023-12-30 20:28:50,214 - pyskl - INFO - Epoch [50][2200/3746] lr: 7.537e-02, eta: 2 days, 18:33:27, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5405, loss_cls: 6.8106, loss: 6.8106 2023-12-30 20:29:51,285 - pyskl - INFO - Epoch [50][2300/3746] lr: 7.535e-02, eta: 2 days, 18:32:18, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5288, loss_cls: 6.8882, loss: 6.8882 2023-12-30 20:30:52,532 - pyskl - INFO - Epoch [50][2400/3746] lr: 7.533e-02, eta: 2 days, 18:31:09, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2872, top5_acc: 0.5411, loss_cls: 6.7894, loss: 6.7894 2023-12-30 20:31:53,237 - pyskl - INFO - Epoch [50][2500/3746] lr: 7.530e-02, eta: 2 days, 18:29:59, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5369, loss_cls: 6.8513, loss: 6.8513 2023-12-30 20:32:53,863 - pyskl - INFO - Epoch [50][2600/3746] lr: 7.528e-02, eta: 2 days, 18:28:50, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5303, loss_cls: 6.8641, loss: 6.8641 2023-12-30 20:33:54,683 - pyskl - INFO - Epoch [50][2700/3746] lr: 7.525e-02, eta: 2 days, 18:27:40, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5358, loss_cls: 6.8432, loss: 6.8432 2023-12-30 20:34:54,985 - pyskl - INFO - Epoch [50][2800/3746] lr: 7.523e-02, eta: 2 days, 18:26:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5381, loss_cls: 6.8577, loss: 6.8577 2023-12-30 20:35:54,824 - pyskl - INFO - Epoch [50][2900/3746] lr: 7.520e-02, eta: 2 days, 18:25:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5459, loss_cls: 6.7875, loss: 6.7875 2023-12-30 20:36:55,102 - pyskl - INFO - Epoch [50][3000/3746] lr: 7.518e-02, eta: 2 days, 18:24:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5314, loss_cls: 6.8328, loss: 6.8328 2023-12-30 20:37:55,672 - pyskl - INFO - Epoch [50][3100/3746] lr: 7.516e-02, eta: 2 days, 18:22:58, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5419, loss_cls: 6.8258, loss: 6.8258 2023-12-30 20:38:56,065 - pyskl - INFO - Epoch [50][3200/3746] lr: 7.513e-02, eta: 2 days, 18:21:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5355, loss_cls: 6.8443, loss: 6.8443 2023-12-30 20:39:56,730 - pyskl - INFO - Epoch [50][3300/3746] lr: 7.511e-02, eta: 2 days, 18:20:38, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5317, loss_cls: 6.8483, loss: 6.8483 2023-12-30 20:40:57,029 - pyskl - INFO - Epoch [50][3400/3746] lr: 7.508e-02, eta: 2 days, 18:19:27, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5358, loss_cls: 6.8405, loss: 6.8405 2023-12-30 20:41:57,390 - pyskl - INFO - Epoch [50][3500/3746] lr: 7.506e-02, eta: 2 days, 18:18:17, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5314, loss_cls: 6.8496, loss: 6.8496 2023-12-30 20:42:57,746 - pyskl - INFO - Epoch [50][3600/3746] lr: 7.504e-02, eta: 2 days, 18:17:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5391, loss_cls: 6.8355, loss: 6.8355 2023-12-30 20:43:58,358 - pyskl - INFO - Epoch [50][3700/3746] lr: 7.501e-02, eta: 2 days, 18:15:57, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5395, loss_cls: 6.8125, loss: 6.8125 2023-12-30 20:44:28,155 - pyskl - INFO - Saving checkpoint at 50 epochs 2023-12-30 20:46:28,665 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 20:46:29,704 - pyskl - INFO - top1_acc 0.2282 top5_acc 0.4627 2023-12-30 20:46:29,704 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 20:46:29,742 - pyskl - INFO - mean_acc 0.2279 2023-12-30 20:46:29,749 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_49.pth was removed 2023-12-30 20:46:30,020 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_50.pth. 2023-12-30 20:46:30,021 - pyskl - INFO - Best top1_acc is 0.2282 at 50 epoch. 2023-12-30 20:46:30,029 - pyskl - INFO - Epoch(val) [50][309] top1_acc: 0.2282, top5_acc: 0.4627, mean_class_accuracy: 0.2279 2023-12-30 20:49:48,425 - pyskl - INFO - Epoch [51][100/3746] lr: 7.498e-02, eta: 2 days, 18:17:54, time: 1.984, data_time: 1.390, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5408, loss_cls: 6.8057, loss: 6.8057 2023-12-30 20:50:47,942 - pyskl - INFO - Epoch [51][200/3746] lr: 7.495e-02, eta: 2 days, 18:16:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5434, loss_cls: 6.7790, loss: 6.7790 2023-12-30 20:51:47,647 - pyskl - INFO - Epoch [51][300/3746] lr: 7.493e-02, eta: 2 days, 18:15:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5500, loss_cls: 6.7467, loss: 6.7467 2023-12-30 20:52:47,793 - pyskl - INFO - Epoch [51][400/3746] lr: 7.490e-02, eta: 2 days, 18:14:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2966, top5_acc: 0.5495, loss_cls: 6.7500, loss: 6.7500 2023-12-30 20:53:48,168 - pyskl - INFO - Epoch [51][500/3746] lr: 7.488e-02, eta: 2 days, 18:13:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5511, loss_cls: 6.7798, loss: 6.7798 2023-12-30 20:54:48,370 - pyskl - INFO - Epoch [51][600/3746] lr: 7.485e-02, eta: 2 days, 18:11:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5369, loss_cls: 6.8359, loss: 6.8359 2023-12-30 20:55:49,243 - pyskl - INFO - Epoch [51][700/3746] lr: 7.483e-02, eta: 2 days, 18:10:49, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5378, loss_cls: 6.7910, loss: 6.7910 2023-12-30 20:56:49,878 - pyskl - INFO - Epoch [51][800/3746] lr: 7.481e-02, eta: 2 days, 18:09:39, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5425, loss_cls: 6.8270, loss: 6.8270 2023-12-30 20:57:50,314 - pyskl - INFO - Epoch [51][900/3746] lr: 7.478e-02, eta: 2 days, 18:08:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5455, loss_cls: 6.8014, loss: 6.8014 2023-12-30 20:58:50,796 - pyskl - INFO - Epoch [51][1000/3746] lr: 7.476e-02, eta: 2 days, 18:07:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5258, loss_cls: 6.8632, loss: 6.8632 2023-12-30 20:59:51,119 - pyskl - INFO - Epoch [51][1100/3746] lr: 7.473e-02, eta: 2 days, 18:06:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3019, top5_acc: 0.5486, loss_cls: 6.7777, loss: 6.7777 2023-12-30 21:00:51,675 - pyskl - INFO - Epoch [51][1200/3746] lr: 7.471e-02, eta: 2 days, 18:04:58, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2766, top5_acc: 0.5389, loss_cls: 6.8382, loss: 6.8382 2023-12-30 21:01:52,082 - pyskl - INFO - Epoch [51][1300/3746] lr: 7.468e-02, eta: 2 days, 18:03:48, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5334, loss_cls: 6.8595, loss: 6.8595 2023-12-30 21:02:52,482 - pyskl - INFO - Epoch [51][1400/3746] lr: 7.466e-02, eta: 2 days, 18:02:38, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5495, loss_cls: 6.7755, loss: 6.7755 2023-12-30 21:03:52,603 - pyskl - INFO - Epoch [51][1500/3746] lr: 7.464e-02, eta: 2 days, 18:01:27, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5297, loss_cls: 6.8625, loss: 6.8625 2023-12-30 21:04:53,971 - pyskl - INFO - Epoch [51][1600/3746] lr: 7.461e-02, eta: 2 days, 18:00:19, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2877, top5_acc: 0.5266, loss_cls: 6.8683, loss: 6.8683 2023-12-30 21:05:56,475 - pyskl - INFO - Epoch [51][1700/3746] lr: 7.459e-02, eta: 2 days, 17:59:13, time: 0.625, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5422, loss_cls: 6.7874, loss: 6.7874 2023-12-30 21:06:56,944 - pyskl - INFO - Epoch [51][1800/3746] lr: 7.456e-02, eta: 2 days, 17:58:03, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5477, loss_cls: 6.7943, loss: 6.7943 2023-12-30 21:07:57,655 - pyskl - INFO - Epoch [51][1900/3746] lr: 7.454e-02, eta: 2 days, 17:56:53, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2931, top5_acc: 0.5369, loss_cls: 6.8182, loss: 6.8182 2023-12-30 21:08:58,055 - pyskl - INFO - Epoch [51][2000/3746] lr: 7.451e-02, eta: 2 days, 17:55:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5306, loss_cls: 6.8291, loss: 6.8291 2023-12-30 21:09:58,113 - pyskl - INFO - Epoch [51][2100/3746] lr: 7.449e-02, eta: 2 days, 17:54:32, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5333, loss_cls: 6.8490, loss: 6.8490 2023-12-30 21:10:58,159 - pyskl - INFO - Epoch [51][2200/3746] lr: 7.447e-02, eta: 2 days, 17:53:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5375, loss_cls: 6.8418, loss: 6.8418 2023-12-30 21:11:59,177 - pyskl - INFO - Epoch [51][2300/3746] lr: 7.444e-02, eta: 2 days, 17:52:12, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5422, loss_cls: 6.8119, loss: 6.8119 2023-12-30 21:12:59,712 - pyskl - INFO - Epoch [51][2400/3746] lr: 7.442e-02, eta: 2 days, 17:51:02, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5350, loss_cls: 6.8593, loss: 6.8593 2023-12-30 21:14:00,112 - pyskl - INFO - Epoch [51][2500/3746] lr: 7.439e-02, eta: 2 days, 17:49:52, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5419, loss_cls: 6.8038, loss: 6.8038 2023-12-30 21:15:00,704 - pyskl - INFO - Epoch [51][2600/3746] lr: 7.437e-02, eta: 2 days, 17:48:42, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5389, loss_cls: 6.8322, loss: 6.8322 2023-12-30 21:16:01,322 - pyskl - INFO - Epoch [51][2700/3746] lr: 7.434e-02, eta: 2 days, 17:47:33, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5320, loss_cls: 6.8355, loss: 6.8355 2023-12-30 21:17:01,488 - pyskl - INFO - Epoch [51][2800/3746] lr: 7.432e-02, eta: 2 days, 17:46:22, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5383, loss_cls: 6.8028, loss: 6.8028 2023-12-30 21:18:01,795 - pyskl - INFO - Epoch [51][2900/3746] lr: 7.429e-02, eta: 2 days, 17:45:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5398, loss_cls: 6.8223, loss: 6.8223 2023-12-30 21:19:01,944 - pyskl - INFO - Epoch [51][3000/3746] lr: 7.427e-02, eta: 2 days, 17:44:01, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5402, loss_cls: 6.8286, loss: 6.8286 2023-12-30 21:20:02,218 - pyskl - INFO - Epoch [51][3100/3746] lr: 7.425e-02, eta: 2 days, 17:42:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5363, loss_cls: 6.8558, loss: 6.8558 2023-12-30 21:21:02,546 - pyskl - INFO - Epoch [51][3200/3746] lr: 7.422e-02, eta: 2 days, 17:41:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2877, top5_acc: 0.5445, loss_cls: 6.8016, loss: 6.8016 2023-12-30 21:22:02,861 - pyskl - INFO - Epoch [51][3300/3746] lr: 7.420e-02, eta: 2 days, 17:40:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5364, loss_cls: 6.8079, loss: 6.8079 2023-12-30 21:23:03,724 - pyskl - INFO - Epoch [51][3400/3746] lr: 7.417e-02, eta: 2 days, 17:39:21, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5406, loss_cls: 6.8190, loss: 6.8190 2023-12-30 21:24:04,074 - pyskl - INFO - Epoch [51][3500/3746] lr: 7.415e-02, eta: 2 days, 17:38:11, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5405, loss_cls: 6.8058, loss: 6.8058 2023-12-30 21:25:04,685 - pyskl - INFO - Epoch [51][3600/3746] lr: 7.412e-02, eta: 2 days, 17:37:01, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5481, loss_cls: 6.8200, loss: 6.8200 2023-12-30 21:26:05,106 - pyskl - INFO - Epoch [51][3700/3746] lr: 7.410e-02, eta: 2 days, 17:35:51, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5322, loss_cls: 6.8524, loss: 6.8524 2023-12-30 21:26:35,608 - pyskl - INFO - Saving checkpoint at 51 epochs 2023-12-30 21:28:37,211 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 21:28:38,258 - pyskl - INFO - top1_acc 0.1953 top5_acc 0.4126 2023-12-30 21:28:38,258 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 21:28:38,296 - pyskl - INFO - mean_acc 0.1949 2023-12-30 21:28:38,304 - pyskl - INFO - Epoch(val) [51][309] top1_acc: 0.1953, top5_acc: 0.4126, mean_class_accuracy: 0.1949 2023-12-30 21:32:03,135 - pyskl - INFO - Epoch [52][100/3746] lr: 7.406e-02, eta: 2 days, 17:37:55, time: 2.048, data_time: 1.455, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5409, loss_cls: 6.8035, loss: 6.8035 2023-12-30 21:33:02,853 - pyskl - INFO - Epoch [52][200/3746] lr: 7.404e-02, eta: 2 days, 17:36:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5356, loss_cls: 6.8105, loss: 6.8105 2023-12-30 21:34:02,955 - pyskl - INFO - Epoch [52][300/3746] lr: 7.401e-02, eta: 2 days, 17:35:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5555, loss_cls: 6.7199, loss: 6.7199 2023-12-30 21:35:03,037 - pyskl - INFO - Epoch [52][400/3746] lr: 7.399e-02, eta: 2 days, 17:34:22, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2875, top5_acc: 0.5436, loss_cls: 6.7879, loss: 6.7879 2023-12-30 21:36:03,236 - pyskl - INFO - Epoch [52][500/3746] lr: 7.397e-02, eta: 2 days, 17:33:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5414, loss_cls: 6.8002, loss: 6.8002 2023-12-30 21:37:03,702 - pyskl - INFO - Epoch [52][600/3746] lr: 7.394e-02, eta: 2 days, 17:32:02, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2877, top5_acc: 0.5486, loss_cls: 6.7753, loss: 6.7753 2023-12-30 21:38:04,435 - pyskl - INFO - Epoch [52][700/3746] lr: 7.392e-02, eta: 2 days, 17:30:52, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5555, loss_cls: 6.7570, loss: 6.7570 2023-12-30 21:39:05,554 - pyskl - INFO - Epoch [52][800/3746] lr: 7.389e-02, eta: 2 days, 17:29:44, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5411, loss_cls: 6.8145, loss: 6.8145 2023-12-30 21:40:05,963 - pyskl - INFO - Epoch [52][900/3746] lr: 7.387e-02, eta: 2 days, 17:28:34, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5448, loss_cls: 6.7819, loss: 6.7819 2023-12-30 21:41:06,490 - pyskl - INFO - Epoch [52][1000/3746] lr: 7.384e-02, eta: 2 days, 17:27:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2872, top5_acc: 0.5505, loss_cls: 6.7936, loss: 6.7936 2023-12-30 21:42:06,641 - pyskl - INFO - Epoch [52][1100/3746] lr: 7.382e-02, eta: 2 days, 17:26:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5330, loss_cls: 6.8473, loss: 6.8473 2023-12-30 21:43:07,523 - pyskl - INFO - Epoch [52][1200/3746] lr: 7.379e-02, eta: 2 days, 17:25:04, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5463, loss_cls: 6.7885, loss: 6.7885 2023-12-30 21:44:07,979 - pyskl - INFO - Epoch [52][1300/3746] lr: 7.377e-02, eta: 2 days, 17:23:54, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5406, loss_cls: 6.7772, loss: 6.7772 2023-12-30 21:45:08,038 - pyskl - INFO - Epoch [52][1400/3746] lr: 7.374e-02, eta: 2 days, 17:22:43, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5463, loss_cls: 6.8004, loss: 6.8004 2023-12-30 21:46:08,824 - pyskl - INFO - Epoch [52][1500/3746] lr: 7.372e-02, eta: 2 days, 17:21:34, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5370, loss_cls: 6.8386, loss: 6.8386 2023-12-30 21:47:10,295 - pyskl - INFO - Epoch [52][1600/3746] lr: 7.370e-02, eta: 2 days, 17:20:26, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5450, loss_cls: 6.7745, loss: 6.7745 2023-12-30 21:48:11,355 - pyskl - INFO - Epoch [52][1700/3746] lr: 7.367e-02, eta: 2 days, 17:19:17, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5531, loss_cls: 6.7969, loss: 6.7969 2023-12-30 21:49:11,804 - pyskl - INFO - Epoch [52][1800/3746] lr: 7.365e-02, eta: 2 days, 17:18:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5534, loss_cls: 6.7396, loss: 6.7396 2023-12-30 21:50:12,132 - pyskl - INFO - Epoch [52][1900/3746] lr: 7.362e-02, eta: 2 days, 17:16:57, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5319, loss_cls: 6.8155, loss: 6.8155 2023-12-30 21:51:12,359 - pyskl - INFO - Epoch [52][2000/3746] lr: 7.360e-02, eta: 2 days, 17:15:47, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5331, loss_cls: 6.8390, loss: 6.8390 2023-12-30 21:52:12,748 - pyskl - INFO - Epoch [52][2100/3746] lr: 7.357e-02, eta: 2 days, 17:14:37, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5414, loss_cls: 6.8271, loss: 6.8271 2023-12-30 21:53:13,311 - pyskl - INFO - Epoch [52][2200/3746] lr: 7.355e-02, eta: 2 days, 17:13:27, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2828, top5_acc: 0.5345, loss_cls: 6.8299, loss: 6.8299 2023-12-30 21:54:15,377 - pyskl - INFO - Epoch [52][2300/3746] lr: 7.352e-02, eta: 2 days, 17:12:20, time: 0.621, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5311, loss_cls: 6.8290, loss: 6.8290 2023-12-30 21:55:15,765 - pyskl - INFO - Epoch [52][2400/3746] lr: 7.350e-02, eta: 2 days, 17:11:10, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2877, top5_acc: 0.5348, loss_cls: 6.8005, loss: 6.8005 2023-12-30 21:56:16,537 - pyskl - INFO - Epoch [52][2500/3746] lr: 7.347e-02, eta: 2 days, 17:10:01, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5369, loss_cls: 6.8200, loss: 6.8200 2023-12-30 21:57:17,087 - pyskl - INFO - Epoch [52][2600/3746] lr: 7.345e-02, eta: 2 days, 17:08:51, time: 0.605, data_time: 0.001, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5312, loss_cls: 6.8667, loss: 6.8667 2023-12-30 21:58:17,536 - pyskl - INFO - Epoch [52][2700/3746] lr: 7.342e-02, eta: 2 days, 17:07:42, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5355, loss_cls: 6.8445, loss: 6.8445 2023-12-30 21:59:17,793 - pyskl - INFO - Epoch [52][2800/3746] lr: 7.340e-02, eta: 2 days, 17:06:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2970, top5_acc: 0.5463, loss_cls: 6.7639, loss: 6.7639 2023-12-30 22:00:17,875 - pyskl - INFO - Epoch [52][2900/3746] lr: 7.337e-02, eta: 2 days, 17:05:21, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5333, loss_cls: 6.8226, loss: 6.8226 2023-12-30 22:01:17,681 - pyskl - INFO - Epoch [52][3000/3746] lr: 7.335e-02, eta: 2 days, 17:04:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5392, loss_cls: 6.8270, loss: 6.8270 2023-12-30 22:02:17,809 - pyskl - INFO - Epoch [52][3100/3746] lr: 7.332e-02, eta: 2 days, 17:02:59, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5386, loss_cls: 6.8200, loss: 6.8200 2023-12-30 22:03:18,169 - pyskl - INFO - Epoch [52][3200/3746] lr: 7.330e-02, eta: 2 days, 17:01:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5267, loss_cls: 6.8609, loss: 6.8609 2023-12-30 22:04:18,581 - pyskl - INFO - Epoch [52][3300/3746] lr: 7.328e-02, eta: 2 days, 17:00:40, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5308, loss_cls: 6.8616, loss: 6.8616 2023-12-30 22:05:19,542 - pyskl - INFO - Epoch [52][3400/3746] lr: 7.325e-02, eta: 2 days, 16:59:31, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5327, loss_cls: 6.8533, loss: 6.8533 2023-12-30 22:06:19,840 - pyskl - INFO - Epoch [52][3500/3746] lr: 7.323e-02, eta: 2 days, 16:58:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5436, loss_cls: 6.7877, loss: 6.7877 2023-12-30 22:07:19,784 - pyskl - INFO - Epoch [52][3600/3746] lr: 7.320e-02, eta: 2 days, 16:57:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5411, loss_cls: 6.7947, loss: 6.7947 2023-12-30 22:08:19,947 - pyskl - INFO - Epoch [52][3700/3746] lr: 7.318e-02, eta: 2 days, 16:56:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5409, loss_cls: 6.8181, loss: 6.8181 2023-12-30 22:08:50,099 - pyskl - INFO - Saving checkpoint at 52 epochs 2023-12-30 22:10:49,585 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 22:10:50,641 - pyskl - INFO - top1_acc 0.2025 top5_acc 0.4311 2023-12-30 22:10:50,641 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 22:10:50,684 - pyskl - INFO - mean_acc 0.2022 2023-12-30 22:10:50,693 - pyskl - INFO - Epoch(val) [52][309] top1_acc: 0.2025, top5_acc: 0.4311, mean_class_accuracy: 0.2022 2023-12-30 22:14:15,543 - pyskl - INFO - Epoch [53][100/3746] lr: 7.314e-02, eta: 2 days, 16:57:58, time: 2.048, data_time: 1.454, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5419, loss_cls: 6.7866, loss: 6.7866 2023-12-30 22:15:15,098 - pyskl - INFO - Epoch [53][200/3746] lr: 7.312e-02, eta: 2 days, 16:56:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5464, loss_cls: 6.7814, loss: 6.7814 2023-12-30 22:16:14,692 - pyskl - INFO - Epoch [53][300/3746] lr: 7.309e-02, eta: 2 days, 16:55:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5361, loss_cls: 6.8039, loss: 6.8039 2023-12-30 22:17:15,007 - pyskl - INFO - Epoch [53][400/3746] lr: 7.307e-02, eta: 2 days, 16:54:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5580, loss_cls: 6.7422, loss: 6.7422 2023-12-30 22:18:14,592 - pyskl - INFO - Epoch [53][500/3746] lr: 7.304e-02, eta: 2 days, 16:53:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2916, top5_acc: 0.5461, loss_cls: 6.7758, loss: 6.7758 2023-12-30 22:19:14,797 - pyskl - INFO - Epoch [53][600/3746] lr: 7.302e-02, eta: 2 days, 16:52:03, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5378, loss_cls: 6.8197, loss: 6.8197 2023-12-30 22:20:15,021 - pyskl - INFO - Epoch [53][700/3746] lr: 7.299e-02, eta: 2 days, 16:50:52, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5405, loss_cls: 6.8405, loss: 6.8405 2023-12-30 22:21:14,999 - pyskl - INFO - Epoch [53][800/3746] lr: 7.297e-02, eta: 2 days, 16:49:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5563, loss_cls: 6.7489, loss: 6.7489 2023-12-30 22:22:14,982 - pyskl - INFO - Epoch [53][900/3746] lr: 7.294e-02, eta: 2 days, 16:48:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2884, top5_acc: 0.5380, loss_cls: 6.7985, loss: 6.7985 2023-12-30 22:23:15,103 - pyskl - INFO - Epoch [53][1000/3746] lr: 7.292e-02, eta: 2 days, 16:47:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5445, loss_cls: 6.7982, loss: 6.7982 2023-12-30 22:24:15,634 - pyskl - INFO - Epoch [53][1100/3746] lr: 7.289e-02, eta: 2 days, 16:46:11, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5395, loss_cls: 6.8160, loss: 6.8160 2023-12-30 22:25:15,839 - pyskl - INFO - Epoch [53][1200/3746] lr: 7.287e-02, eta: 2 days, 16:45:01, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5444, loss_cls: 6.7559, loss: 6.7559 2023-12-30 22:26:16,303 - pyskl - INFO - Epoch [53][1300/3746] lr: 7.284e-02, eta: 2 days, 16:43:51, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5464, loss_cls: 6.7920, loss: 6.7920 2023-12-30 22:27:16,575 - pyskl - INFO - Epoch [53][1400/3746] lr: 7.282e-02, eta: 2 days, 16:42:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5513, loss_cls: 6.7707, loss: 6.7707 2023-12-30 22:28:17,079 - pyskl - INFO - Epoch [53][1500/3746] lr: 7.279e-02, eta: 2 days, 16:41:31, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2931, top5_acc: 0.5478, loss_cls: 6.7985, loss: 6.7985 2023-12-30 22:29:18,133 - pyskl - INFO - Epoch [53][1600/3746] lr: 7.277e-02, eta: 2 days, 16:40:22, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5386, loss_cls: 6.8017, loss: 6.8017 2023-12-30 22:30:19,080 - pyskl - INFO - Epoch [53][1700/3746] lr: 7.274e-02, eta: 2 days, 16:39:14, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5406, loss_cls: 6.8134, loss: 6.8134 2023-12-30 22:31:19,529 - pyskl - INFO - Epoch [53][1800/3746] lr: 7.272e-02, eta: 2 days, 16:38:04, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5464, loss_cls: 6.7850, loss: 6.7850 2023-12-30 22:32:20,082 - pyskl - INFO - Epoch [53][1900/3746] lr: 7.269e-02, eta: 2 days, 16:36:54, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5420, loss_cls: 6.7988, loss: 6.7988 2023-12-30 22:33:20,587 - pyskl - INFO - Epoch [53][2000/3746] lr: 7.267e-02, eta: 2 days, 16:35:45, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5316, loss_cls: 6.8376, loss: 6.8376 2023-12-30 22:34:20,427 - pyskl - INFO - Epoch [53][2100/3746] lr: 7.264e-02, eta: 2 days, 16:34:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2828, top5_acc: 0.5364, loss_cls: 6.8282, loss: 6.8282 2023-12-30 22:35:20,685 - pyskl - INFO - Epoch [53][2200/3746] lr: 7.262e-02, eta: 2 days, 16:33:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5473, loss_cls: 6.7789, loss: 6.7789 2023-12-30 22:36:21,725 - pyskl - INFO - Epoch [53][2300/3746] lr: 7.259e-02, eta: 2 days, 16:32:15, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2941, top5_acc: 0.5400, loss_cls: 6.8087, loss: 6.8087 2023-12-30 22:37:22,353 - pyskl - INFO - Epoch [53][2400/3746] lr: 7.257e-02, eta: 2 days, 16:31:06, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2828, top5_acc: 0.5405, loss_cls: 6.8171, loss: 6.8171 2023-12-30 22:38:23,400 - pyskl - INFO - Epoch [53][2500/3746] lr: 7.254e-02, eta: 2 days, 16:29:57, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5555, loss_cls: 6.7640, loss: 6.7640 2023-12-30 22:39:24,242 - pyskl - INFO - Epoch [53][2600/3746] lr: 7.252e-02, eta: 2 days, 16:28:48, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5302, loss_cls: 6.8417, loss: 6.8417 2023-12-30 22:40:24,514 - pyskl - INFO - Epoch [53][2700/3746] lr: 7.249e-02, eta: 2 days, 16:27:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5411, loss_cls: 6.8182, loss: 6.8182 2023-12-30 22:41:24,793 - pyskl - INFO - Epoch [53][2800/3746] lr: 7.247e-02, eta: 2 days, 16:26:29, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5339, loss_cls: 6.8373, loss: 6.8373 2023-12-30 22:42:25,028 - pyskl - INFO - Epoch [53][2900/3746] lr: 7.244e-02, eta: 2 days, 16:25:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5437, loss_cls: 6.8282, loss: 6.8282 2023-12-30 22:43:25,234 - pyskl - INFO - Epoch [53][3000/3746] lr: 7.242e-02, eta: 2 days, 16:24:08, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5370, loss_cls: 6.8404, loss: 6.8404 2023-12-30 22:44:25,377 - pyskl - INFO - Epoch [53][3100/3746] lr: 7.239e-02, eta: 2 days, 16:22:58, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5477, loss_cls: 6.7968, loss: 6.7968 2023-12-30 22:45:25,545 - pyskl - INFO - Epoch [53][3200/3746] lr: 7.237e-02, eta: 2 days, 16:21:48, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2928, top5_acc: 0.5500, loss_cls: 6.7952, loss: 6.7952 2023-12-30 22:46:25,658 - pyskl - INFO - Epoch [53][3300/3746] lr: 7.234e-02, eta: 2 days, 16:20:38, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5420, loss_cls: 6.7778, loss: 6.7778 2023-12-30 22:47:25,940 - pyskl - INFO - Epoch [53][3400/3746] lr: 7.232e-02, eta: 2 days, 16:19:28, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5378, loss_cls: 6.8081, loss: 6.8081 2023-12-30 22:48:26,004 - pyskl - INFO - Epoch [53][3500/3746] lr: 7.229e-02, eta: 2 days, 16:18:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2928, top5_acc: 0.5409, loss_cls: 6.8049, loss: 6.8049 2023-12-30 22:49:26,467 - pyskl - INFO - Epoch [53][3600/3746] lr: 7.227e-02, eta: 2 days, 16:17:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5397, loss_cls: 6.8094, loss: 6.8094 2023-12-30 22:50:26,496 - pyskl - INFO - Epoch [53][3700/3746] lr: 7.224e-02, eta: 2 days, 16:15:58, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2922, top5_acc: 0.5341, loss_cls: 6.8093, loss: 6.8093 2023-12-30 22:50:57,692 - pyskl - INFO - Saving checkpoint at 53 epochs 2023-12-30 22:52:58,456 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 22:52:59,233 - pyskl - INFO - top1_acc 0.2127 top5_acc 0.4452 2023-12-30 22:52:59,233 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 22:52:59,266 - pyskl - INFO - mean_acc 0.2123 2023-12-30 22:52:59,275 - pyskl - INFO - Epoch(val) [53][309] top1_acc: 0.2127, top5_acc: 0.4452, mean_class_accuracy: 0.2123 2023-12-30 22:56:23,593 - pyskl - INFO - Epoch [54][100/3746] lr: 7.221e-02, eta: 2 days, 16:17:49, time: 2.043, data_time: 1.450, memory: 16177, top1_acc: 0.3038, top5_acc: 0.5595, loss_cls: 6.7361, loss: 6.7361 2023-12-30 22:57:23,101 - pyskl - INFO - Epoch [54][200/3746] lr: 7.218e-02, eta: 2 days, 16:16:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2997, top5_acc: 0.5467, loss_cls: 6.7658, loss: 6.7658 2023-12-30 22:58:23,134 - pyskl - INFO - Epoch [54][300/3746] lr: 7.216e-02, eta: 2 days, 16:15:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5398, loss_cls: 6.7905, loss: 6.7905 2023-12-30 22:59:23,474 - pyskl - INFO - Epoch [54][400/3746] lr: 7.213e-02, eta: 2 days, 16:14:17, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5473, loss_cls: 6.7754, loss: 6.7754 2023-12-30 23:00:24,212 - pyskl - INFO - Epoch [54][500/3746] lr: 7.211e-02, eta: 2 days, 16:13:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2875, top5_acc: 0.5420, loss_cls: 6.8085, loss: 6.8085 2023-12-30 23:01:24,983 - pyskl - INFO - Epoch [54][600/3746] lr: 7.208e-02, eta: 2 days, 16:11:59, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2931, top5_acc: 0.5408, loss_cls: 6.7951, loss: 6.7951 2023-12-30 23:02:25,242 - pyskl - INFO - Epoch [54][700/3746] lr: 7.206e-02, eta: 2 days, 16:10:49, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5492, loss_cls: 6.7504, loss: 6.7504 2023-12-30 23:03:25,421 - pyskl - INFO - Epoch [54][800/3746] lr: 7.203e-02, eta: 2 days, 16:09:38, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5414, loss_cls: 6.8029, loss: 6.8029 2023-12-30 23:04:25,857 - pyskl - INFO - Epoch [54][900/3746] lr: 7.201e-02, eta: 2 days, 16:08:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5527, loss_cls: 6.7464, loss: 6.7464 2023-12-30 23:05:26,572 - pyskl - INFO - Epoch [54][1000/3746] lr: 7.198e-02, eta: 2 days, 16:07:20, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5506, loss_cls: 6.7408, loss: 6.7408 2023-12-30 23:06:27,459 - pyskl - INFO - Epoch [54][1100/3746] lr: 7.196e-02, eta: 2 days, 16:06:11, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5455, loss_cls: 6.7896, loss: 6.7896 2023-12-30 23:07:27,852 - pyskl - INFO - Epoch [54][1200/3746] lr: 7.193e-02, eta: 2 days, 16:05:01, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5339, loss_cls: 6.8225, loss: 6.8225 2023-12-30 23:08:28,429 - pyskl - INFO - Epoch [54][1300/3746] lr: 7.191e-02, eta: 2 days, 16:03:52, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5363, loss_cls: 6.8427, loss: 6.8427 2023-12-30 23:09:29,106 - pyskl - INFO - Epoch [54][1400/3746] lr: 7.188e-02, eta: 2 days, 16:02:43, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2855, top5_acc: 0.5378, loss_cls: 6.8014, loss: 6.8014 2023-12-30 23:10:30,185 - pyskl - INFO - Epoch [54][1500/3746] lr: 7.186e-02, eta: 2 days, 16:01:34, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2877, top5_acc: 0.5475, loss_cls: 6.7959, loss: 6.7959 2023-12-30 23:11:31,641 - pyskl - INFO - Epoch [54][1600/3746] lr: 7.183e-02, eta: 2 days, 16:00:26, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2917, top5_acc: 0.5539, loss_cls: 6.7520, loss: 6.7520 2023-12-30 23:12:32,416 - pyskl - INFO - Epoch [54][1700/3746] lr: 7.181e-02, eta: 2 days, 15:59:17, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2828, top5_acc: 0.5355, loss_cls: 6.8286, loss: 6.8286 2023-12-30 23:13:32,584 - pyskl - INFO - Epoch [54][1800/3746] lr: 7.178e-02, eta: 2 days, 15:58:07, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5327, loss_cls: 6.8372, loss: 6.8372 2023-12-30 23:14:33,187 - pyskl - INFO - Epoch [54][1900/3746] lr: 7.176e-02, eta: 2 days, 15:56:58, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5350, loss_cls: 6.8188, loss: 6.8188 2023-12-30 23:15:33,332 - pyskl - INFO - Epoch [54][2000/3746] lr: 7.173e-02, eta: 2 days, 15:55:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5273, loss_cls: 6.8495, loss: 6.8495 2023-12-30 23:16:34,318 - pyskl - INFO - Epoch [54][2100/3746] lr: 7.170e-02, eta: 2 days, 15:54:40, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2872, top5_acc: 0.5414, loss_cls: 6.8228, loss: 6.8228 2023-12-30 23:17:34,869 - pyskl - INFO - Epoch [54][2200/3746] lr: 7.168e-02, eta: 2 days, 15:53:30, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5450, loss_cls: 6.8101, loss: 6.8101 2023-12-30 23:18:35,272 - pyskl - INFO - Epoch [54][2300/3746] lr: 7.165e-02, eta: 2 days, 15:52:21, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2966, top5_acc: 0.5428, loss_cls: 6.7842, loss: 6.7842 2023-12-30 23:19:36,468 - pyskl - INFO - Epoch [54][2400/3746] lr: 7.163e-02, eta: 2 days, 15:51:12, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5333, loss_cls: 6.8549, loss: 6.8549 2023-12-30 23:20:37,146 - pyskl - INFO - Epoch [54][2500/3746] lr: 7.160e-02, eta: 2 days, 15:50:03, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5425, loss_cls: 6.8143, loss: 6.8143 2023-12-30 23:21:38,402 - pyskl - INFO - Epoch [54][2600/3746] lr: 7.158e-02, eta: 2 days, 15:48:55, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5484, loss_cls: 6.7913, loss: 6.7913 2023-12-30 23:22:39,007 - pyskl - INFO - Epoch [54][2700/3746] lr: 7.155e-02, eta: 2 days, 15:47:46, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5437, loss_cls: 6.7860, loss: 6.7860 2023-12-30 23:23:39,112 - pyskl - INFO - Epoch [54][2800/3746] lr: 7.153e-02, eta: 2 days, 15:46:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5487, loss_cls: 6.7919, loss: 6.7919 2023-12-30 23:24:39,406 - pyskl - INFO - Epoch [54][2900/3746] lr: 7.150e-02, eta: 2 days, 15:45:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2945, top5_acc: 0.5520, loss_cls: 6.7519, loss: 6.7519 2023-12-30 23:25:39,640 - pyskl - INFO - Epoch [54][3000/3746] lr: 7.148e-02, eta: 2 days, 15:44:16, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5523, loss_cls: 6.7514, loss: 6.7514 2023-12-30 23:26:39,356 - pyskl - INFO - Epoch [54][3100/3746] lr: 7.145e-02, eta: 2 days, 15:43:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5414, loss_cls: 6.7892, loss: 6.7892 2023-12-30 23:27:39,216 - pyskl - INFO - Epoch [54][3200/3746] lr: 7.143e-02, eta: 2 days, 15:41:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5445, loss_cls: 6.8119, loss: 6.8119 2023-12-30 23:28:39,050 - pyskl - INFO - Epoch [54][3300/3746] lr: 7.140e-02, eta: 2 days, 15:40:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5414, loss_cls: 6.7894, loss: 6.7894 2023-12-30 23:29:39,136 - pyskl - INFO - Epoch [54][3400/3746] lr: 7.138e-02, eta: 2 days, 15:39:35, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5508, loss_cls: 6.7622, loss: 6.7622 2023-12-30 23:30:39,551 - pyskl - INFO - Epoch [54][3500/3746] lr: 7.135e-02, eta: 2 days, 15:38:25, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5378, loss_cls: 6.8160, loss: 6.8160 2023-12-30 23:31:39,566 - pyskl - INFO - Epoch [54][3600/3746] lr: 7.133e-02, eta: 2 days, 15:37:15, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2922, top5_acc: 0.5400, loss_cls: 6.8094, loss: 6.8094 2023-12-30 23:32:39,974 - pyskl - INFO - Epoch [54][3700/3746] lr: 7.130e-02, eta: 2 days, 15:36:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5450, loss_cls: 6.7706, loss: 6.7706 2023-12-30 23:33:10,396 - pyskl - INFO - Saving checkpoint at 54 epochs 2023-12-30 23:35:10,398 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 23:35:11,450 - pyskl - INFO - top1_acc 0.1905 top5_acc 0.4254 2023-12-30 23:35:11,450 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 23:35:11,490 - pyskl - INFO - mean_acc 0.1904 2023-12-30 23:35:11,498 - pyskl - INFO - Epoch(val) [54][309] top1_acc: 0.1905, top5_acc: 0.4254, mean_class_accuracy: 0.1904 2023-12-30 23:38:37,221 - pyskl - INFO - Epoch [55][100/3746] lr: 7.126e-02, eta: 2 days, 15:37:53, time: 2.057, data_time: 1.467, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5523, loss_cls: 6.7499, loss: 6.7499 2023-12-30 23:39:36,951 - pyskl - INFO - Epoch [55][200/3746] lr: 7.124e-02, eta: 2 days, 15:36:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5498, loss_cls: 6.7350, loss: 6.7350 2023-12-30 23:40:36,662 - pyskl - INFO - Epoch [55][300/3746] lr: 7.121e-02, eta: 2 days, 15:35:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5492, loss_cls: 6.7502, loss: 6.7502 2023-12-30 23:41:36,913 - pyskl - INFO - Epoch [55][400/3746] lr: 7.119e-02, eta: 2 days, 15:34:21, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5492, loss_cls: 6.7608, loss: 6.7608 2023-12-30 23:42:37,857 - pyskl - INFO - Epoch [55][500/3746] lr: 7.116e-02, eta: 2 days, 15:33:13, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2884, top5_acc: 0.5444, loss_cls: 6.7798, loss: 6.7798 2023-12-30 23:43:38,540 - pyskl - INFO - Epoch [55][600/3746] lr: 7.114e-02, eta: 2 days, 15:32:04, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5439, loss_cls: 6.7985, loss: 6.7985 2023-12-30 23:44:39,136 - pyskl - INFO - Epoch [55][700/3746] lr: 7.111e-02, eta: 2 days, 15:30:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5534, loss_cls: 6.7549, loss: 6.7549 2023-12-30 23:45:39,951 - pyskl - INFO - Epoch [55][800/3746] lr: 7.109e-02, eta: 2 days, 15:29:46, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5411, loss_cls: 6.8099, loss: 6.8099 2023-12-30 23:46:40,568 - pyskl - INFO - Epoch [55][900/3746] lr: 7.106e-02, eta: 2 days, 15:28:37, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5456, loss_cls: 6.7788, loss: 6.7788 2023-12-30 23:47:40,853 - pyskl - INFO - Epoch [55][1000/3746] lr: 7.104e-02, eta: 2 days, 15:27:27, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5523, loss_cls: 6.7734, loss: 6.7734 2023-12-30 23:48:41,894 - pyskl - INFO - Epoch [55][1100/3746] lr: 7.101e-02, eta: 2 days, 15:26:18, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5420, loss_cls: 6.7734, loss: 6.7734 2023-12-30 23:49:42,286 - pyskl - INFO - Epoch [55][1200/3746] lr: 7.099e-02, eta: 2 days, 15:25:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5408, loss_cls: 6.7884, loss: 6.7884 2023-12-30 23:50:42,689 - pyskl - INFO - Epoch [55][1300/3746] lr: 7.096e-02, eta: 2 days, 15:23:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5495, loss_cls: 6.7652, loss: 6.7652 2023-12-30 23:51:43,163 - pyskl - INFO - Epoch [55][1400/3746] lr: 7.093e-02, eta: 2 days, 15:22:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5437, loss_cls: 6.7961, loss: 6.7961 2023-12-30 23:52:44,084 - pyskl - INFO - Epoch [55][1500/3746] lr: 7.091e-02, eta: 2 days, 15:21:42, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5330, loss_cls: 6.8317, loss: 6.8317 2023-12-30 23:53:45,005 - pyskl - INFO - Epoch [55][1600/3746] lr: 7.088e-02, eta: 2 days, 15:20:33, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5495, loss_cls: 6.8050, loss: 6.8050 2023-12-30 23:54:45,397 - pyskl - INFO - Epoch [55][1700/3746] lr: 7.086e-02, eta: 2 days, 15:19:23, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5361, loss_cls: 6.8424, loss: 6.8424 2023-12-30 23:55:45,746 - pyskl - INFO - Epoch [55][1800/3746] lr: 7.083e-02, eta: 2 days, 15:18:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5495, loss_cls: 6.7794, loss: 6.7794 2023-12-30 23:56:45,915 - pyskl - INFO - Epoch [55][1900/3746] lr: 7.081e-02, eta: 2 days, 15:17:04, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2963, top5_acc: 0.5439, loss_cls: 6.7628, loss: 6.7628 2023-12-30 23:57:46,066 - pyskl - INFO - Epoch [55][2000/3746] lr: 7.078e-02, eta: 2 days, 15:15:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5503, loss_cls: 6.7615, loss: 6.7615 2023-12-30 23:58:46,484 - pyskl - INFO - Epoch [55][2100/3746] lr: 7.076e-02, eta: 2 days, 15:14:45, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5334, loss_cls: 6.8412, loss: 6.8412 2023-12-30 23:59:47,384 - pyskl - INFO - Epoch [55][2200/3746] lr: 7.073e-02, eta: 2 days, 15:13:36, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5528, loss_cls: 6.7406, loss: 6.7406 2023-12-31 00:00:47,574 - pyskl - INFO - Epoch [55][2300/3746] lr: 7.071e-02, eta: 2 days, 15:12:26, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5537, loss_cls: 6.7796, loss: 6.7796 2023-12-31 00:01:48,518 - pyskl - INFO - Epoch [55][2400/3746] lr: 7.068e-02, eta: 2 days, 15:11:18, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2875, top5_acc: 0.5409, loss_cls: 6.8062, loss: 6.8062 2023-12-31 00:02:49,409 - pyskl - INFO - Epoch [55][2500/3746] lr: 7.065e-02, eta: 2 days, 15:10:09, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5456, loss_cls: 6.7718, loss: 6.7718 2023-12-31 00:03:49,941 - pyskl - INFO - Epoch [55][2600/3746] lr: 7.063e-02, eta: 2 days, 15:09:00, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5459, loss_cls: 6.7859, loss: 6.7859 2023-12-31 00:04:50,030 - pyskl - INFO - Epoch [55][2700/3746] lr: 7.060e-02, eta: 2 days, 15:07:50, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5394, loss_cls: 6.8227, loss: 6.8227 2023-12-31 00:05:49,743 - pyskl - INFO - Epoch [55][2800/3746] lr: 7.058e-02, eta: 2 days, 15:06:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5478, loss_cls: 6.7554, loss: 6.7554 2023-12-31 00:06:49,497 - pyskl - INFO - Epoch [55][2900/3746] lr: 7.055e-02, eta: 2 days, 15:05:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5391, loss_cls: 6.8162, loss: 6.8162 2023-12-31 00:07:49,474 - pyskl - INFO - Epoch [55][3000/3746] lr: 7.053e-02, eta: 2 days, 15:04:19, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5467, loss_cls: 6.7768, loss: 6.7768 2023-12-31 00:08:49,730 - pyskl - INFO - Epoch [55][3100/3746] lr: 7.050e-02, eta: 2 days, 15:03:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5517, loss_cls: 6.7770, loss: 6.7770 2023-12-31 00:09:49,802 - pyskl - INFO - Epoch [55][3200/3746] lr: 7.048e-02, eta: 2 days, 15:02:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5458, loss_cls: 6.7973, loss: 6.7973 2023-12-31 00:10:50,065 - pyskl - INFO - Epoch [55][3300/3746] lr: 7.045e-02, eta: 2 days, 15:00:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5456, loss_cls: 6.7649, loss: 6.7649 2023-12-31 00:11:50,291 - pyskl - INFO - Epoch [55][3400/3746] lr: 7.043e-02, eta: 2 days, 14:59:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5431, loss_cls: 6.8050, loss: 6.8050 2023-12-31 00:12:50,732 - pyskl - INFO - Epoch [55][3500/3746] lr: 7.040e-02, eta: 2 days, 14:58:31, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5472, loss_cls: 6.8009, loss: 6.8009 2023-12-31 00:13:51,050 - pyskl - INFO - Epoch [55][3600/3746] lr: 7.037e-02, eta: 2 days, 14:57:22, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5455, loss_cls: 6.8098, loss: 6.8098 2023-12-31 00:14:51,572 - pyskl - INFO - Epoch [55][3700/3746] lr: 7.035e-02, eta: 2 days, 14:56:13, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5475, loss_cls: 6.8064, loss: 6.8064 2023-12-31 00:15:21,395 - pyskl - INFO - Saving checkpoint at 55 epochs 2023-12-31 00:17:21,975 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 00:17:22,765 - pyskl - INFO - top1_acc 0.2318 top5_acc 0.4595 2023-12-31 00:17:22,765 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 00:17:22,800 - pyskl - INFO - mean_acc 0.2318 2023-12-31 00:17:22,805 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_50.pth was removed 2023-12-31 00:17:23,032 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_55.pth. 2023-12-31 00:17:23,032 - pyskl - INFO - Best top1_acc is 0.2318 at 55 epoch. 2023-12-31 00:17:23,041 - pyskl - INFO - Epoch(val) [55][309] top1_acc: 0.2318, top5_acc: 0.4595, mean_class_accuracy: 0.2318 2023-12-31 00:20:38,643 - pyskl - INFO - Epoch [56][100/3746] lr: 7.031e-02, eta: 2 days, 14:57:37, time: 1.956, data_time: 1.363, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5597, loss_cls: 6.7271, loss: 6.7271 2023-12-31 00:21:38,010 - pyskl - INFO - Epoch [56][200/3746] lr: 7.029e-02, eta: 2 days, 14:56:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3070, top5_acc: 0.5545, loss_cls: 6.7071, loss: 6.7071 2023-12-31 00:22:37,858 - pyskl - INFO - Epoch [56][300/3746] lr: 7.026e-02, eta: 2 days, 14:55:15, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2941, top5_acc: 0.5470, loss_cls: 6.7447, loss: 6.7447 2023-12-31 00:23:37,749 - pyskl - INFO - Epoch [56][400/3746] lr: 7.023e-02, eta: 2 days, 14:54:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5387, loss_cls: 6.7987, loss: 6.7987 2023-12-31 00:24:37,726 - pyskl - INFO - Epoch [56][500/3746] lr: 7.021e-02, eta: 2 days, 14:52:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5437, loss_cls: 6.8099, loss: 6.8099 2023-12-31 00:25:38,085 - pyskl - INFO - Epoch [56][600/3746] lr: 7.018e-02, eta: 2 days, 14:51:45, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5502, loss_cls: 6.7669, loss: 6.7669 2023-12-31 00:26:38,766 - pyskl - INFO - Epoch [56][700/3746] lr: 7.016e-02, eta: 2 days, 14:50:37, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2983, top5_acc: 0.5445, loss_cls: 6.7804, loss: 6.7804 2023-12-31 00:27:39,270 - pyskl - INFO - Epoch [56][800/3746] lr: 7.013e-02, eta: 2 days, 14:49:27, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5544, loss_cls: 6.7705, loss: 6.7705 2023-12-31 00:28:39,866 - pyskl - INFO - Epoch [56][900/3746] lr: 7.011e-02, eta: 2 days, 14:48:18, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5555, loss_cls: 6.7274, loss: 6.7274 2023-12-31 00:29:41,151 - pyskl - INFO - Epoch [56][1000/3746] lr: 7.008e-02, eta: 2 days, 14:47:11, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2970, top5_acc: 0.5441, loss_cls: 6.7739, loss: 6.7739 2023-12-31 00:30:42,014 - pyskl - INFO - Epoch [56][1100/3746] lr: 7.006e-02, eta: 2 days, 14:46:02, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2866, top5_acc: 0.5409, loss_cls: 6.8112, loss: 6.8112 2023-12-31 00:31:42,511 - pyskl - INFO - Epoch [56][1200/3746] lr: 7.003e-02, eta: 2 days, 14:44:53, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5520, loss_cls: 6.7267, loss: 6.7267 2023-12-31 00:32:43,487 - pyskl - INFO - Epoch [56][1300/3746] lr: 7.000e-02, eta: 2 days, 14:43:45, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5433, loss_cls: 6.7696, loss: 6.7696 2023-12-31 00:33:44,370 - pyskl - INFO - Epoch [56][1400/3746] lr: 6.998e-02, eta: 2 days, 14:42:36, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5377, loss_cls: 6.7858, loss: 6.7858 2023-12-31 00:34:45,179 - pyskl - INFO - Epoch [56][1500/3746] lr: 6.995e-02, eta: 2 days, 14:41:27, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5434, loss_cls: 6.7532, loss: 6.7532 2023-12-31 00:35:45,937 - pyskl - INFO - Epoch [56][1600/3746] lr: 6.993e-02, eta: 2 days, 14:40:19, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2997, top5_acc: 0.5434, loss_cls: 6.7883, loss: 6.7883 2023-12-31 00:36:46,386 - pyskl - INFO - Epoch [56][1700/3746] lr: 6.990e-02, eta: 2 days, 14:39:10, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5445, loss_cls: 6.7734, loss: 6.7734 2023-12-31 00:37:47,344 - pyskl - INFO - Epoch [56][1800/3746] lr: 6.988e-02, eta: 2 days, 14:38:01, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5391, loss_cls: 6.8089, loss: 6.8089 2023-12-31 00:38:47,525 - pyskl - INFO - Epoch [56][1900/3746] lr: 6.985e-02, eta: 2 days, 14:36:52, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5487, loss_cls: 6.7915, loss: 6.7915 2023-12-31 00:39:47,487 - pyskl - INFO - Epoch [56][2000/3746] lr: 6.983e-02, eta: 2 days, 14:35:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5506, loss_cls: 6.7398, loss: 6.7398 2023-12-31 00:40:48,103 - pyskl - INFO - Epoch [56][2100/3746] lr: 6.980e-02, eta: 2 days, 14:34:33, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5441, loss_cls: 6.7899, loss: 6.7899 2023-12-31 00:41:49,224 - pyskl - INFO - Epoch [56][2200/3746] lr: 6.977e-02, eta: 2 days, 14:33:25, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5502, loss_cls: 6.7367, loss: 6.7367 2023-12-31 00:42:49,456 - pyskl - INFO - Epoch [56][2300/3746] lr: 6.975e-02, eta: 2 days, 14:32:15, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2927, top5_acc: 0.5475, loss_cls: 6.7929, loss: 6.7929 2023-12-31 00:43:50,065 - pyskl - INFO - Epoch [56][2400/3746] lr: 6.972e-02, eta: 2 days, 14:31:06, time: 0.606, data_time: 0.001, memory: 16177, top1_acc: 0.2922, top5_acc: 0.5467, loss_cls: 6.8014, loss: 6.8014 2023-12-31 00:44:51,451 - pyskl - INFO - Epoch [56][2500/3746] lr: 6.970e-02, eta: 2 days, 14:29:59, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2884, top5_acc: 0.5400, loss_cls: 6.7987, loss: 6.7987 2023-12-31 00:45:52,028 - pyskl - INFO - Epoch [56][2600/3746] lr: 6.967e-02, eta: 2 days, 14:28:50, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5409, loss_cls: 6.7814, loss: 6.7814 2023-12-31 00:46:52,169 - pyskl - INFO - Epoch [56][2700/3746] lr: 6.965e-02, eta: 2 days, 14:27:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3011, top5_acc: 0.5500, loss_cls: 6.7404, loss: 6.7404 2023-12-31 00:47:52,204 - pyskl - INFO - Epoch [56][2800/3746] lr: 6.962e-02, eta: 2 days, 14:26:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5355, loss_cls: 6.8143, loss: 6.8143 2023-12-31 00:48:52,128 - pyskl - INFO - Epoch [56][2900/3746] lr: 6.959e-02, eta: 2 days, 14:25:20, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5461, loss_cls: 6.7719, loss: 6.7719 2023-12-31 00:49:52,414 - pyskl - INFO - Epoch [56][3000/3746] lr: 6.957e-02, eta: 2 days, 14:24:11, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5528, loss_cls: 6.7634, loss: 6.7634 2023-12-31 00:50:52,624 - pyskl - INFO - Epoch [56][3100/3746] lr: 6.954e-02, eta: 2 days, 14:23:01, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5537, loss_cls: 6.7760, loss: 6.7760 2023-12-31 00:51:52,939 - pyskl - INFO - Epoch [56][3200/3746] lr: 6.952e-02, eta: 2 days, 14:21:52, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5492, loss_cls: 6.7668, loss: 6.7668 2023-12-31 00:52:53,315 - pyskl - INFO - Epoch [56][3300/3746] lr: 6.949e-02, eta: 2 days, 14:20:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5541, loss_cls: 6.7536, loss: 6.7536 2023-12-31 00:53:53,821 - pyskl - INFO - Epoch [56][3400/3746] lr: 6.947e-02, eta: 2 days, 14:19:34, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5389, loss_cls: 6.8300, loss: 6.8300 2023-12-31 00:54:54,177 - pyskl - INFO - Epoch [56][3500/3746] lr: 6.944e-02, eta: 2 days, 14:18:25, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2911, top5_acc: 0.5391, loss_cls: 6.8238, loss: 6.8238 2023-12-31 00:55:54,684 - pyskl - INFO - Epoch [56][3600/3746] lr: 6.941e-02, eta: 2 days, 14:17:16, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5317, loss_cls: 6.8207, loss: 6.8207 2023-12-31 00:56:55,228 - pyskl - INFO - Epoch [56][3700/3746] lr: 6.939e-02, eta: 2 days, 14:16:07, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5297, loss_cls: 6.8487, loss: 6.8487 2023-12-31 00:57:26,205 - pyskl - INFO - Saving checkpoint at 56 epochs 2023-12-31 00:59:26,551 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 00:59:27,589 - pyskl - INFO - top1_acc 0.2301 top5_acc 0.4701 2023-12-31 00:59:27,589 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 00:59:27,625 - pyskl - INFO - mean_acc 0.2297 2023-12-31 00:59:27,632 - pyskl - INFO - Epoch(val) [56][309] top1_acc: 0.2301, top5_acc: 0.4701, mean_class_accuracy: 0.2297 2023-12-31 01:02:51,972 - pyskl - INFO - Epoch [57][100/3746] lr: 6.935e-02, eta: 2 days, 14:17:41, time: 2.043, data_time: 1.451, memory: 16177, top1_acc: 0.3039, top5_acc: 0.5628, loss_cls: 6.7112, loss: 6.7112 2023-12-31 01:03:51,692 - pyskl - INFO - Epoch [57][200/3746] lr: 6.932e-02, eta: 2 days, 14:16:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5516, loss_cls: 6.7055, loss: 6.7055 2023-12-31 01:04:52,632 - pyskl - INFO - Epoch [57][300/3746] lr: 6.930e-02, eta: 2 days, 14:15:22, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5556, loss_cls: 6.7298, loss: 6.7298 2023-12-31 01:05:53,294 - pyskl - INFO - Epoch [57][400/3746] lr: 6.927e-02, eta: 2 days, 14:14:13, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5400, loss_cls: 6.7969, loss: 6.7969 2023-12-31 01:06:54,202 - pyskl - INFO - Epoch [57][500/3746] lr: 6.925e-02, eta: 2 days, 14:13:05, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5520, loss_cls: 6.7270, loss: 6.7270 2023-12-31 01:07:54,567 - pyskl - INFO - Epoch [57][600/3746] lr: 6.922e-02, eta: 2 days, 14:11:56, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2963, top5_acc: 0.5522, loss_cls: 6.7304, loss: 6.7304 2023-12-31 01:08:55,125 - pyskl - INFO - Epoch [57][700/3746] lr: 6.920e-02, eta: 2 days, 14:10:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2972, top5_acc: 0.5572, loss_cls: 6.7434, loss: 6.7434 2023-12-31 01:09:55,594 - pyskl - INFO - Epoch [57][800/3746] lr: 6.917e-02, eta: 2 days, 14:09:38, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2875, top5_acc: 0.5430, loss_cls: 6.7860, loss: 6.7860 2023-12-31 01:10:56,724 - pyskl - INFO - Epoch [57][900/3746] lr: 6.914e-02, eta: 2 days, 14:08:30, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5466, loss_cls: 6.7997, loss: 6.7997 2023-12-31 01:11:57,173 - pyskl - INFO - Epoch [57][1000/3746] lr: 6.912e-02, eta: 2 days, 14:07:21, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5436, loss_cls: 6.7995, loss: 6.7995 2023-12-31 01:12:57,809 - pyskl - INFO - Epoch [57][1100/3746] lr: 6.909e-02, eta: 2 days, 14:06:12, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5461, loss_cls: 6.7840, loss: 6.7840 2023-12-31 01:13:58,549 - pyskl - INFO - Epoch [57][1200/3746] lr: 6.907e-02, eta: 2 days, 14:05:03, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5544, loss_cls: 6.7629, loss: 6.7629 2023-12-31 01:14:59,144 - pyskl - INFO - Epoch [57][1300/3746] lr: 6.904e-02, eta: 2 days, 14:03:54, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2884, top5_acc: 0.5434, loss_cls: 6.8037, loss: 6.8037 2023-12-31 01:16:00,135 - pyskl - INFO - Epoch [57][1400/3746] lr: 6.901e-02, eta: 2 days, 14:02:46, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5470, loss_cls: 6.7516, loss: 6.7516 2023-12-31 01:17:00,858 - pyskl - INFO - Epoch [57][1500/3746] lr: 6.899e-02, eta: 2 days, 14:01:38, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5467, loss_cls: 6.7451, loss: 6.7451 2023-12-31 01:18:01,732 - pyskl - INFO - Epoch [57][1600/3746] lr: 6.896e-02, eta: 2 days, 14:00:29, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2897, top5_acc: 0.5505, loss_cls: 6.7840, loss: 6.7840 2023-12-31 01:19:01,836 - pyskl - INFO - Epoch [57][1700/3746] lr: 6.894e-02, eta: 2 days, 13:59:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5586, loss_cls: 6.7476, loss: 6.7476 2023-12-31 01:20:01,946 - pyskl - INFO - Epoch [57][1800/3746] lr: 6.891e-02, eta: 2 days, 13:58:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2963, top5_acc: 0.5544, loss_cls: 6.7448, loss: 6.7448 2023-12-31 01:21:01,911 - pyskl - INFO - Epoch [57][1900/3746] lr: 6.889e-02, eta: 2 days, 13:57:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2922, top5_acc: 0.5555, loss_cls: 6.7579, loss: 6.7579 2023-12-31 01:22:02,321 - pyskl - INFO - Epoch [57][2000/3746] lr: 6.886e-02, eta: 2 days, 13:55:51, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5556, loss_cls: 6.7540, loss: 6.7540 2023-12-31 01:23:03,672 - pyskl - INFO - Epoch [57][2100/3746] lr: 6.883e-02, eta: 2 days, 13:54:44, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5578, loss_cls: 6.7490, loss: 6.7490 2023-12-31 01:24:04,262 - pyskl - INFO - Epoch [57][2200/3746] lr: 6.881e-02, eta: 2 days, 13:53:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5373, loss_cls: 6.8049, loss: 6.8049 2023-12-31 01:25:04,876 - pyskl - INFO - Epoch [57][2300/3746] lr: 6.878e-02, eta: 2 days, 13:52:26, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5392, loss_cls: 6.8046, loss: 6.8046 2023-12-31 01:26:05,377 - pyskl - INFO - Epoch [57][2400/3746] lr: 6.876e-02, eta: 2 days, 13:51:17, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2872, top5_acc: 0.5397, loss_cls: 6.8216, loss: 6.8216 2023-12-31 01:27:05,939 - pyskl - INFO - Epoch [57][2500/3746] lr: 6.873e-02, eta: 2 days, 13:50:08, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5481, loss_cls: 6.7834, loss: 6.7834 2023-12-31 01:28:06,549 - pyskl - INFO - Epoch [57][2600/3746] lr: 6.870e-02, eta: 2 days, 13:49:00, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2917, top5_acc: 0.5434, loss_cls: 6.7905, loss: 6.7905 2023-12-31 01:29:07,143 - pyskl - INFO - Epoch [57][2700/3746] lr: 6.868e-02, eta: 2 days, 13:47:51, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5492, loss_cls: 6.7492, loss: 6.7492 2023-12-31 01:30:07,138 - pyskl - INFO - Epoch [57][2800/3746] lr: 6.865e-02, eta: 2 days, 13:46:41, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2972, top5_acc: 0.5473, loss_cls: 6.7587, loss: 6.7587 2023-12-31 01:31:07,375 - pyskl - INFO - Epoch [57][2900/3746] lr: 6.863e-02, eta: 2 days, 13:45:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2970, top5_acc: 0.5372, loss_cls: 6.7886, loss: 6.7886 2023-12-31 01:32:07,632 - pyskl - INFO - Epoch [57][3000/3746] lr: 6.860e-02, eta: 2 days, 13:44:23, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5522, loss_cls: 6.7239, loss: 6.7239 2023-12-31 01:33:07,876 - pyskl - INFO - Epoch [57][3100/3746] lr: 6.857e-02, eta: 2 days, 13:43:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5542, loss_cls: 6.7448, loss: 6.7448 2023-12-31 01:34:08,456 - pyskl - INFO - Epoch [57][3200/3746] lr: 6.855e-02, eta: 2 days, 13:42:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2855, top5_acc: 0.5386, loss_cls: 6.7858, loss: 6.7858 2023-12-31 01:35:08,826 - pyskl - INFO - Epoch [57][3300/3746] lr: 6.852e-02, eta: 2 days, 13:40:56, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5567, loss_cls: 6.7591, loss: 6.7591 2023-12-31 01:36:09,238 - pyskl - INFO - Epoch [57][3400/3746] lr: 6.850e-02, eta: 2 days, 13:39:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2972, top5_acc: 0.5442, loss_cls: 6.7840, loss: 6.7840 2023-12-31 01:37:09,573 - pyskl - INFO - Epoch [57][3500/3746] lr: 6.847e-02, eta: 2 days, 13:38:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5402, loss_cls: 6.8318, loss: 6.8318 2023-12-31 01:38:10,164 - pyskl - INFO - Epoch [57][3600/3746] lr: 6.844e-02, eta: 2 days, 13:37:29, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5459, loss_cls: 6.8005, loss: 6.8005 2023-12-31 01:39:10,614 - pyskl - INFO - Epoch [57][3700/3746] lr: 6.842e-02, eta: 2 days, 13:36:20, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2905, top5_acc: 0.5486, loss_cls: 6.7610, loss: 6.7610 2023-12-31 01:39:41,326 - pyskl - INFO - Saving checkpoint at 57 epochs 2023-12-31 01:41:42,284 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 01:41:43,085 - pyskl - INFO - top1_acc 0.2210 top5_acc 0.4574 2023-12-31 01:41:43,085 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 01:41:43,124 - pyskl - INFO - mean_acc 0.2210 2023-12-31 01:41:43,131 - pyskl - INFO - Epoch(val) [57][309] top1_acc: 0.2210, top5_acc: 0.4574, mean_class_accuracy: 0.2210 2023-12-31 01:44:59,777 - pyskl - INFO - Epoch [58][100/3746] lr: 6.838e-02, eta: 2 days, 13:37:36, time: 1.966, data_time: 1.374, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5583, loss_cls: 6.7352, loss: 6.7352 2023-12-31 01:45:59,680 - pyskl - INFO - Epoch [58][200/3746] lr: 6.835e-02, eta: 2 days, 13:36:26, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5594, loss_cls: 6.7095, loss: 6.7095 2023-12-31 01:47:00,534 - pyskl - INFO - Epoch [58][300/3746] lr: 6.833e-02, eta: 2 days, 13:35:18, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5611, loss_cls: 6.7418, loss: 6.7418 2023-12-31 01:48:00,723 - pyskl - INFO - Epoch [58][400/3746] lr: 6.830e-02, eta: 2 days, 13:34:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2931, top5_acc: 0.5494, loss_cls: 6.7647, loss: 6.7647 2023-12-31 01:49:01,135 - pyskl - INFO - Epoch [58][500/3746] lr: 6.828e-02, eta: 2 days, 13:33:00, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5491, loss_cls: 6.7452, loss: 6.7452 2023-12-31 01:50:01,535 - pyskl - INFO - Epoch [58][600/3746] lr: 6.825e-02, eta: 2 days, 13:31:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3009, top5_acc: 0.5511, loss_cls: 6.7552, loss: 6.7552 2023-12-31 01:51:01,839 - pyskl - INFO - Epoch [58][700/3746] lr: 6.822e-02, eta: 2 days, 13:30:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5513, loss_cls: 6.7573, loss: 6.7573 2023-12-31 01:52:02,146 - pyskl - INFO - Epoch [58][800/3746] lr: 6.820e-02, eta: 2 days, 13:29:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3011, top5_acc: 0.5537, loss_cls: 6.7632, loss: 6.7632 2023-12-31 01:53:03,227 - pyskl - INFO - Epoch [58][900/3746] lr: 6.817e-02, eta: 2 days, 13:28:24, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5520, loss_cls: 6.7930, loss: 6.7930 2023-12-31 01:54:04,475 - pyskl - INFO - Epoch [58][1000/3746] lr: 6.815e-02, eta: 2 days, 13:27:17, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5494, loss_cls: 6.7750, loss: 6.7750 2023-12-31 01:55:05,206 - pyskl - INFO - Epoch [58][1100/3746] lr: 6.812e-02, eta: 2 days, 13:26:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5598, loss_cls: 6.7043, loss: 6.7043 2023-12-31 01:56:06,158 - pyskl - INFO - Epoch [58][1200/3746] lr: 6.809e-02, eta: 2 days, 13:25:00, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5469, loss_cls: 6.7809, loss: 6.7809 2023-12-31 01:57:07,334 - pyskl - INFO - Epoch [58][1300/3746] lr: 6.807e-02, eta: 2 days, 13:23:52, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5422, loss_cls: 6.7868, loss: 6.7868 2023-12-31 01:58:08,413 - pyskl - INFO - Epoch [58][1400/3746] lr: 6.804e-02, eta: 2 days, 13:22:44, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5469, loss_cls: 6.7725, loss: 6.7725 2023-12-31 01:59:09,253 - pyskl - INFO - Epoch [58][1500/3746] lr: 6.802e-02, eta: 2 days, 13:21:36, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5487, loss_cls: 6.7630, loss: 6.7630 2023-12-31 02:00:09,237 - pyskl - INFO - Epoch [58][1600/3746] lr: 6.799e-02, eta: 2 days, 13:20:26, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5455, loss_cls: 6.7562, loss: 6.7562 2023-12-31 02:01:09,654 - pyskl - INFO - Epoch [58][1700/3746] lr: 6.796e-02, eta: 2 days, 13:19:17, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3008, top5_acc: 0.5509, loss_cls: 6.7433, loss: 6.7433 2023-12-31 02:02:10,170 - pyskl - INFO - Epoch [58][1800/3746] lr: 6.794e-02, eta: 2 days, 13:18:09, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5341, loss_cls: 6.8217, loss: 6.8217 2023-12-31 02:03:10,456 - pyskl - INFO - Epoch [58][1900/3746] lr: 6.791e-02, eta: 2 days, 13:17:00, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5556, loss_cls: 6.7626, loss: 6.7626 2023-12-31 02:04:10,992 - pyskl - INFO - Epoch [58][2000/3746] lr: 6.789e-02, eta: 2 days, 13:15:51, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5487, loss_cls: 6.7673, loss: 6.7673 2023-12-31 02:05:11,768 - pyskl - INFO - Epoch [58][2100/3746] lr: 6.786e-02, eta: 2 days, 13:14:43, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3019, top5_acc: 0.5470, loss_cls: 6.7565, loss: 6.7565 2023-12-31 02:06:12,599 - pyskl - INFO - Epoch [58][2200/3746] lr: 6.783e-02, eta: 2 days, 13:13:34, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5642, loss_cls: 6.7041, loss: 6.7041 2023-12-31 02:07:13,224 - pyskl - INFO - Epoch [58][2300/3746] lr: 6.781e-02, eta: 2 days, 13:12:26, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5461, loss_cls: 6.7762, loss: 6.7762 2023-12-31 02:08:13,323 - pyskl - INFO - Epoch [58][2400/3746] lr: 6.778e-02, eta: 2 days, 13:11:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3055, top5_acc: 0.5594, loss_cls: 6.7151, loss: 6.7151 2023-12-31 02:09:14,008 - pyskl - INFO - Epoch [58][2500/3746] lr: 6.775e-02, eta: 2 days, 13:10:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5503, loss_cls: 6.7386, loss: 6.7386 2023-12-31 02:10:14,476 - pyskl - INFO - Epoch [58][2600/3746] lr: 6.773e-02, eta: 2 days, 13:08:59, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2983, top5_acc: 0.5487, loss_cls: 6.7853, loss: 6.7853 2023-12-31 02:11:14,457 - pyskl - INFO - Epoch [58][2700/3746] lr: 6.770e-02, eta: 2 days, 13:07:50, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5570, loss_cls: 6.7372, loss: 6.7372 2023-12-31 02:12:14,365 - pyskl - INFO - Epoch [58][2800/3746] lr: 6.768e-02, eta: 2 days, 13:06:40, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5436, loss_cls: 6.7927, loss: 6.7927 2023-12-31 02:13:14,697 - pyskl - INFO - Epoch [58][2900/3746] lr: 6.765e-02, eta: 2 days, 13:05:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5448, loss_cls: 6.7886, loss: 6.7886 2023-12-31 02:14:14,809 - pyskl - INFO - Epoch [58][3000/3746] lr: 6.762e-02, eta: 2 days, 13:04:22, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2927, top5_acc: 0.5441, loss_cls: 6.7955, loss: 6.7955 2023-12-31 02:15:15,467 - pyskl - INFO - Epoch [58][3100/3746] lr: 6.760e-02, eta: 2 days, 13:03:13, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5406, loss_cls: 6.8030, loss: 6.8030 2023-12-31 02:16:16,542 - pyskl - INFO - Epoch [58][3200/3746] lr: 6.757e-02, eta: 2 days, 13:02:05, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5411, loss_cls: 6.7883, loss: 6.7883 2023-12-31 02:17:16,815 - pyskl - INFO - Epoch [58][3300/3746] lr: 6.755e-02, eta: 2 days, 13:00:56, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5489, loss_cls: 6.7569, loss: 6.7569 2023-12-31 02:18:17,658 - pyskl - INFO - Epoch [58][3400/3746] lr: 6.752e-02, eta: 2 days, 12:59:48, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5527, loss_cls: 6.7791, loss: 6.7791 2023-12-31 02:19:17,784 - pyskl - INFO - Epoch [58][3500/3746] lr: 6.749e-02, eta: 2 days, 12:58:39, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2917, top5_acc: 0.5525, loss_cls: 6.7708, loss: 6.7708 2023-12-31 02:20:18,122 - pyskl - INFO - Epoch [58][3600/3746] lr: 6.747e-02, eta: 2 days, 12:57:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5425, loss_cls: 6.7736, loss: 6.7736 2023-12-31 02:21:18,642 - pyskl - INFO - Epoch [58][3700/3746] lr: 6.744e-02, eta: 2 days, 12:56:21, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2855, top5_acc: 0.5463, loss_cls: 6.7886, loss: 6.7886 2023-12-31 02:21:49,301 - pyskl - INFO - Saving checkpoint at 58 epochs 2023-12-31 02:23:49,681 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 02:23:50,720 - pyskl - INFO - top1_acc 0.2155 top5_acc 0.4558 2023-12-31 02:23:50,720 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 02:23:50,756 - pyskl - INFO - mean_acc 0.2154 2023-12-31 02:23:50,765 - pyskl - INFO - Epoch(val) [58][309] top1_acc: 0.2155, top5_acc: 0.4558, mean_class_accuracy: 0.2154 2023-12-31 02:27:09,722 - pyskl - INFO - Epoch [59][100/3746] lr: 6.740e-02, eta: 2 days, 12:57:37, time: 1.989, data_time: 1.399, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5567, loss_cls: 6.7238, loss: 6.7238 2023-12-31 02:28:09,114 - pyskl - INFO - Epoch [59][200/3746] lr: 6.738e-02, eta: 2 days, 12:56:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5478, loss_cls: 6.7430, loss: 6.7430 2023-12-31 02:29:09,047 - pyskl - INFO - Epoch [59][300/3746] lr: 6.735e-02, eta: 2 days, 12:55:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5623, loss_cls: 6.7131, loss: 6.7131 2023-12-31 02:30:09,333 - pyskl - INFO - Epoch [59][400/3746] lr: 6.732e-02, eta: 2 days, 12:54:07, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2945, top5_acc: 0.5584, loss_cls: 6.7597, loss: 6.7597 2023-12-31 02:31:09,465 - pyskl - INFO - Epoch [59][500/3746] lr: 6.730e-02, eta: 2 days, 12:52:58, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5511, loss_cls: 6.7712, loss: 6.7712 2023-12-31 02:32:09,998 - pyskl - INFO - Epoch [59][600/3746] lr: 6.727e-02, eta: 2 days, 12:51:49, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3070, top5_acc: 0.5561, loss_cls: 6.7279, loss: 6.7279 2023-12-31 02:33:10,044 - pyskl - INFO - Epoch [59][700/3746] lr: 6.725e-02, eta: 2 days, 12:50:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5520, loss_cls: 6.7334, loss: 6.7334 2023-12-31 02:34:10,390 - pyskl - INFO - Epoch [59][800/3746] lr: 6.722e-02, eta: 2 days, 12:49:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2986, top5_acc: 0.5541, loss_cls: 6.7406, loss: 6.7406 2023-12-31 02:35:10,878 - pyskl - INFO - Epoch [59][900/3746] lr: 6.719e-02, eta: 2 days, 12:48:22, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5439, loss_cls: 6.8063, loss: 6.8063 2023-12-31 02:36:11,066 - pyskl - INFO - Epoch [59][1000/3746] lr: 6.717e-02, eta: 2 days, 12:47:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3102, top5_acc: 0.5573, loss_cls: 6.6879, loss: 6.6879 2023-12-31 02:37:11,266 - pyskl - INFO - Epoch [59][1100/3746] lr: 6.714e-02, eta: 2 days, 12:46:04, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2945, top5_acc: 0.5484, loss_cls: 6.7498, loss: 6.7498 2023-12-31 02:38:11,972 - pyskl - INFO - Epoch [59][1200/3746] lr: 6.711e-02, eta: 2 days, 12:44:55, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5489, loss_cls: 6.7695, loss: 6.7695 2023-12-31 02:39:13,408 - pyskl - INFO - Epoch [59][1300/3746] lr: 6.709e-02, eta: 2 days, 12:43:48, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5492, loss_cls: 6.7622, loss: 6.7622 2023-12-31 02:40:14,405 - pyskl - INFO - Epoch [59][1400/3746] lr: 6.706e-02, eta: 2 days, 12:42:40, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5413, loss_cls: 6.7816, loss: 6.7816 2023-12-31 02:41:14,975 - pyskl - INFO - Epoch [59][1500/3746] lr: 6.704e-02, eta: 2 days, 12:41:32, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5509, loss_cls: 6.7568, loss: 6.7568 2023-12-31 02:42:15,481 - pyskl - INFO - Epoch [59][1600/3746] lr: 6.701e-02, eta: 2 days, 12:40:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5500, loss_cls: 6.7554, loss: 6.7554 2023-12-31 02:43:15,736 - pyskl - INFO - Epoch [59][1700/3746] lr: 6.698e-02, eta: 2 days, 12:39:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5523, loss_cls: 6.7494, loss: 6.7494 2023-12-31 02:44:15,998 - pyskl - INFO - Epoch [59][1800/3746] lr: 6.696e-02, eta: 2 days, 12:38:05, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3038, top5_acc: 0.5583, loss_cls: 6.7080, loss: 6.7080 2023-12-31 02:45:16,532 - pyskl - INFO - Epoch [59][1900/3746] lr: 6.693e-02, eta: 2 days, 12:36:57, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2970, top5_acc: 0.5597, loss_cls: 6.7294, loss: 6.7294 2023-12-31 02:46:17,322 - pyskl - INFO - Epoch [59][2000/3746] lr: 6.690e-02, eta: 2 days, 12:35:48, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5489, loss_cls: 6.7639, loss: 6.7639 2023-12-31 02:47:18,671 - pyskl - INFO - Epoch [59][2100/3746] lr: 6.688e-02, eta: 2 days, 12:34:41, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2917, top5_acc: 0.5494, loss_cls: 6.7686, loss: 6.7686 2023-12-31 02:48:18,723 - pyskl - INFO - Epoch [59][2200/3746] lr: 6.685e-02, eta: 2 days, 12:33:32, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5419, loss_cls: 6.7617, loss: 6.7617 2023-12-31 02:49:19,149 - pyskl - INFO - Epoch [59][2300/3746] lr: 6.682e-02, eta: 2 days, 12:32:23, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5494, loss_cls: 6.7409, loss: 6.7409 2023-12-31 02:50:19,591 - pyskl - INFO - Epoch [59][2400/3746] lr: 6.680e-02, eta: 2 days, 12:31:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5450, loss_cls: 6.8022, loss: 6.8022 2023-12-31 02:51:20,047 - pyskl - INFO - Epoch [59][2500/3746] lr: 6.677e-02, eta: 2 days, 12:30:06, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5442, loss_cls: 6.7255, loss: 6.7255 2023-12-31 02:52:20,409 - pyskl - INFO - Epoch [59][2600/3746] lr: 6.675e-02, eta: 2 days, 12:28:57, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5497, loss_cls: 6.7830, loss: 6.7830 2023-12-31 02:53:20,696 - pyskl - INFO - Epoch [59][2700/3746] lr: 6.672e-02, eta: 2 days, 12:27:48, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2970, top5_acc: 0.5503, loss_cls: 6.7490, loss: 6.7490 2023-12-31 02:54:20,496 - pyskl - INFO - Epoch [59][2800/3746] lr: 6.669e-02, eta: 2 days, 12:26:38, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2916, top5_acc: 0.5428, loss_cls: 6.7991, loss: 6.7991 2023-12-31 02:55:20,550 - pyskl - INFO - Epoch [59][2900/3746] lr: 6.667e-02, eta: 2 days, 12:25:29, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5517, loss_cls: 6.7547, loss: 6.7547 2023-12-31 02:56:20,584 - pyskl - INFO - Epoch [59][3000/3746] lr: 6.664e-02, eta: 2 days, 12:24:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3011, top5_acc: 0.5580, loss_cls: 6.7224, loss: 6.7224 2023-12-31 02:57:20,822 - pyskl - INFO - Epoch [59][3100/3746] lr: 6.661e-02, eta: 2 days, 12:23:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5613, loss_cls: 6.6960, loss: 6.6960 2023-12-31 02:58:21,287 - pyskl - INFO - Epoch [59][3200/3746] lr: 6.659e-02, eta: 2 days, 12:22:02, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5430, loss_cls: 6.7919, loss: 6.7919 2023-12-31 02:59:21,462 - pyskl - INFO - Epoch [59][3300/3746] lr: 6.656e-02, eta: 2 days, 12:20:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2928, top5_acc: 0.5503, loss_cls: 6.7774, loss: 6.7774 2023-12-31 03:00:22,020 - pyskl - INFO - Epoch [59][3400/3746] lr: 6.653e-02, eta: 2 days, 12:19:45, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5506, loss_cls: 6.7494, loss: 6.7494 2023-12-31 03:01:22,313 - pyskl - INFO - Epoch [59][3500/3746] lr: 6.651e-02, eta: 2 days, 12:18:36, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2855, top5_acc: 0.5428, loss_cls: 6.8243, loss: 6.8243 2023-12-31 03:02:22,416 - pyskl - INFO - Epoch [59][3600/3746] lr: 6.648e-02, eta: 2 days, 12:17:27, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5422, loss_cls: 6.7958, loss: 6.7958 2023-12-31 03:03:22,828 - pyskl - INFO - Epoch [59][3700/3746] lr: 6.646e-02, eta: 2 days, 12:16:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5606, loss_cls: 6.6811, loss: 6.6811 2023-12-31 03:03:52,922 - pyskl - INFO - Saving checkpoint at 59 epochs 2023-12-31 03:05:54,120 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 03:05:54,960 - pyskl - INFO - top1_acc 0.2418 top5_acc 0.4842 2023-12-31 03:05:54,960 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 03:05:54,992 - pyskl - INFO - mean_acc 0.2416 2023-12-31 03:05:54,997 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_55.pth was removed 2023-12-31 03:05:55,298 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_59.pth. 2023-12-31 03:05:55,299 - pyskl - INFO - Best top1_acc is 0.2418 at 59 epoch. 2023-12-31 03:05:55,307 - pyskl - INFO - Epoch(val) [59][309] top1_acc: 0.2418, top5_acc: 0.4842, mean_class_accuracy: 0.2416 2023-12-31 03:09:14,254 - pyskl - INFO - Epoch [60][100/3746] lr: 6.642e-02, eta: 2 days, 12:17:29, time: 1.989, data_time: 1.396, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5658, loss_cls: 6.6658, loss: 6.6658 2023-12-31 03:10:13,996 - pyskl - INFO - Epoch [60][200/3746] lr: 6.639e-02, eta: 2 days, 12:16:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3034, top5_acc: 0.5534, loss_cls: 6.7296, loss: 6.7296 2023-12-31 03:11:13,801 - pyskl - INFO - Epoch [60][300/3746] lr: 6.636e-02, eta: 2 days, 12:15:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5556, loss_cls: 6.7227, loss: 6.7227 2023-12-31 03:12:13,902 - pyskl - INFO - Epoch [60][400/3746] lr: 6.634e-02, eta: 2 days, 12:14:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2997, top5_acc: 0.5522, loss_cls: 6.7335, loss: 6.7335 2023-12-31 03:13:14,167 - pyskl - INFO - Epoch [60][500/3746] lr: 6.631e-02, eta: 2 days, 12:12:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5645, loss_cls: 6.7125, loss: 6.7125 2023-12-31 03:14:15,081 - pyskl - INFO - Epoch [60][600/3746] lr: 6.629e-02, eta: 2 days, 12:11:43, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3061, top5_acc: 0.5620, loss_cls: 6.7001, loss: 6.7001 2023-12-31 03:15:15,486 - pyskl - INFO - Epoch [60][700/3746] lr: 6.626e-02, eta: 2 days, 12:10:34, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5511, loss_cls: 6.7758, loss: 6.7758 2023-12-31 03:16:16,445 - pyskl - INFO - Epoch [60][800/3746] lr: 6.623e-02, eta: 2 days, 12:09:27, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5537, loss_cls: 6.7276, loss: 6.7276 2023-12-31 03:17:17,081 - pyskl - INFO - Epoch [60][900/3746] lr: 6.621e-02, eta: 2 days, 12:08:18, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5523, loss_cls: 6.7568, loss: 6.7568 2023-12-31 03:18:17,910 - pyskl - INFO - Epoch [60][1000/3746] lr: 6.618e-02, eta: 2 days, 12:07:10, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2966, top5_acc: 0.5581, loss_cls: 6.7420, loss: 6.7420 2023-12-31 03:19:18,021 - pyskl - INFO - Epoch [60][1100/3746] lr: 6.615e-02, eta: 2 days, 12:06:01, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5580, loss_cls: 6.7206, loss: 6.7206 2023-12-31 03:20:18,846 - pyskl - INFO - Epoch [60][1200/3746] lr: 6.613e-02, eta: 2 days, 12:04:53, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3019, top5_acc: 0.5495, loss_cls: 6.7567, loss: 6.7567 2023-12-31 03:21:20,357 - pyskl - INFO - Epoch [60][1300/3746] lr: 6.610e-02, eta: 2 days, 12:03:46, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5464, loss_cls: 6.7901, loss: 6.7901 2023-12-31 03:22:21,186 - pyskl - INFO - Epoch [60][1400/3746] lr: 6.607e-02, eta: 2 days, 12:02:38, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5472, loss_cls: 6.7805, loss: 6.7805 2023-12-31 03:23:21,994 - pyskl - INFO - Epoch [60][1500/3746] lr: 6.605e-02, eta: 2 days, 12:01:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3025, top5_acc: 0.5589, loss_cls: 6.7192, loss: 6.7192 2023-12-31 03:24:22,304 - pyskl - INFO - Epoch [60][1600/3746] lr: 6.602e-02, eta: 2 days, 12:00:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5475, loss_cls: 6.7504, loss: 6.7504 2023-12-31 03:25:22,502 - pyskl - INFO - Epoch [60][1700/3746] lr: 6.599e-02, eta: 2 days, 11:59:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5511, loss_cls: 6.7412, loss: 6.7412 2023-12-31 03:26:23,380 - pyskl - INFO - Epoch [60][1800/3746] lr: 6.597e-02, eta: 2 days, 11:58:04, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2983, top5_acc: 0.5508, loss_cls: 6.7429, loss: 6.7429 2023-12-31 03:27:23,725 - pyskl - INFO - Epoch [60][1900/3746] lr: 6.594e-02, eta: 2 days, 11:56:56, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5567, loss_cls: 6.7428, loss: 6.7428 2023-12-31 03:28:24,423 - pyskl - INFO - Epoch [60][2000/3746] lr: 6.591e-02, eta: 2 days, 11:55:47, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5403, loss_cls: 6.7837, loss: 6.7837 2023-12-31 03:29:26,084 - pyskl - INFO - Epoch [60][2100/3746] lr: 6.589e-02, eta: 2 days, 11:54:41, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.3005, top5_acc: 0.5556, loss_cls: 6.7400, loss: 6.7400 2023-12-31 03:30:26,332 - pyskl - INFO - Epoch [60][2200/3746] lr: 6.586e-02, eta: 2 days, 11:53:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3009, top5_acc: 0.5508, loss_cls: 6.7282, loss: 6.7282 2023-12-31 03:31:27,177 - pyskl - INFO - Epoch [60][2300/3746] lr: 6.584e-02, eta: 2 days, 11:52:24, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5575, loss_cls: 6.7329, loss: 6.7329 2023-12-31 03:32:28,307 - pyskl - INFO - Epoch [60][2400/3746] lr: 6.581e-02, eta: 2 days, 11:51:16, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2941, top5_acc: 0.5437, loss_cls: 6.7616, loss: 6.7616 2023-12-31 03:33:28,841 - pyskl - INFO - Epoch [60][2500/3746] lr: 6.578e-02, eta: 2 days, 11:50:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5578, loss_cls: 6.7206, loss: 6.7206 2023-12-31 03:34:29,041 - pyskl - INFO - Epoch [60][2600/3746] lr: 6.576e-02, eta: 2 days, 11:48:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5533, loss_cls: 6.7697, loss: 6.7697 2023-12-31 03:35:29,347 - pyskl - INFO - Epoch [60][2700/3746] lr: 6.573e-02, eta: 2 days, 11:47:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5378, loss_cls: 6.8158, loss: 6.8158 2023-12-31 03:36:29,560 - pyskl - INFO - Epoch [60][2800/3746] lr: 6.570e-02, eta: 2 days, 11:46:42, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5494, loss_cls: 6.7548, loss: 6.7548 2023-12-31 03:37:29,741 - pyskl - INFO - Epoch [60][2900/3746] lr: 6.568e-02, eta: 2 days, 11:45:33, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5514, loss_cls: 6.7522, loss: 6.7522 2023-12-31 03:38:30,294 - pyskl - INFO - Epoch [60][3000/3746] lr: 6.565e-02, eta: 2 days, 11:44:24, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2877, top5_acc: 0.5422, loss_cls: 6.7937, loss: 6.7937 2023-12-31 03:39:30,627 - pyskl - INFO - Epoch [60][3100/3746] lr: 6.562e-02, eta: 2 days, 11:43:16, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5495, loss_cls: 6.7468, loss: 6.7468 2023-12-31 03:40:31,030 - pyskl - INFO - Epoch [60][3200/3746] lr: 6.560e-02, eta: 2 days, 11:42:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5525, loss_cls: 6.7325, loss: 6.7325 2023-12-31 03:41:31,451 - pyskl - INFO - Epoch [60][3300/3746] lr: 6.557e-02, eta: 2 days, 11:40:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5428, loss_cls: 6.7818, loss: 6.7818 2023-12-31 03:42:31,712 - pyskl - INFO - Epoch [60][3400/3746] lr: 6.554e-02, eta: 2 days, 11:39:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5511, loss_cls: 6.7424, loss: 6.7424 2023-12-31 03:43:32,595 - pyskl - INFO - Epoch [60][3500/3746] lr: 6.552e-02, eta: 2 days, 11:38:42, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5437, loss_cls: 6.7237, loss: 6.7237 2023-12-31 03:44:33,627 - pyskl - INFO - Epoch [60][3600/3746] lr: 6.549e-02, eta: 2 days, 11:37:35, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5395, loss_cls: 6.7927, loss: 6.7927 2023-12-31 03:45:34,062 - pyskl - INFO - Epoch [60][3700/3746] lr: 6.546e-02, eta: 2 days, 11:36:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5506, loss_cls: 6.7336, loss: 6.7336 2023-12-31 03:46:04,072 - pyskl - INFO - Saving checkpoint at 60 epochs 2023-12-31 03:48:02,389 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 03:48:03,436 - pyskl - INFO - top1_acc 0.2418 top5_acc 0.4858 2023-12-31 03:48:03,436 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 03:48:03,474 - pyskl - INFO - mean_acc 0.2415 2023-12-31 03:48:03,482 - pyskl - INFO - Epoch(val) [60][309] top1_acc: 0.2418, top5_acc: 0.4858, mean_class_accuracy: 0.2415 2023-12-31 03:51:19,119 - pyskl - INFO - Epoch [61][100/3746] lr: 6.542e-02, eta: 2 days, 11:37:27, time: 1.956, data_time: 1.363, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5530, loss_cls: 6.7394, loss: 6.7394 2023-12-31 03:52:19,111 - pyskl - INFO - Epoch [61][200/3746] lr: 6.540e-02, eta: 2 days, 11:36:18, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2970, top5_acc: 0.5492, loss_cls: 6.7279, loss: 6.7279 2023-12-31 03:53:19,170 - pyskl - INFO - Epoch [61][300/3746] lr: 6.537e-02, eta: 2 days, 11:35:09, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5516, loss_cls: 6.7462, loss: 6.7462 2023-12-31 03:54:19,737 - pyskl - INFO - Epoch [61][400/3746] lr: 6.534e-02, eta: 2 days, 11:34:01, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5517, loss_cls: 6.7760, loss: 6.7760 2023-12-31 03:55:20,095 - pyskl - INFO - Epoch [61][500/3746] lr: 6.532e-02, eta: 2 days, 11:32:52, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5611, loss_cls: 6.6881, loss: 6.6881 2023-12-31 03:56:20,498 - pyskl - INFO - Epoch [61][600/3746] lr: 6.529e-02, eta: 2 days, 11:31:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2970, top5_acc: 0.5527, loss_cls: 6.7467, loss: 6.7467 2023-12-31 03:57:20,926 - pyskl - INFO - Epoch [61][700/3746] lr: 6.526e-02, eta: 2 days, 11:30:35, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3144, top5_acc: 0.5631, loss_cls: 6.6840, loss: 6.6840 2023-12-31 03:58:21,059 - pyskl - INFO - Epoch [61][800/3746] lr: 6.524e-02, eta: 2 days, 11:29:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5614, loss_cls: 6.7091, loss: 6.7091 2023-12-31 03:59:21,777 - pyskl - INFO - Epoch [61][900/3746] lr: 6.521e-02, eta: 2 days, 11:28:18, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5592, loss_cls: 6.7072, loss: 6.7072 2023-12-31 04:00:22,025 - pyskl - INFO - Epoch [61][1000/3746] lr: 6.519e-02, eta: 2 days, 11:27:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5497, loss_cls: 6.7414, loss: 6.7414 2023-12-31 04:01:22,529 - pyskl - INFO - Epoch [61][1100/3746] lr: 6.516e-02, eta: 2 days, 11:26:01, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3061, top5_acc: 0.5644, loss_cls: 6.6891, loss: 6.6891 2023-12-31 04:02:23,118 - pyskl - INFO - Epoch [61][1200/3746] lr: 6.513e-02, eta: 2 days, 11:24:52, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5506, loss_cls: 6.7662, loss: 6.7662 2023-12-31 04:03:24,264 - pyskl - INFO - Epoch [61][1300/3746] lr: 6.511e-02, eta: 2 days, 11:23:45, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5533, loss_cls: 6.7611, loss: 6.7611 2023-12-31 04:04:25,357 - pyskl - INFO - Epoch [61][1400/3746] lr: 6.508e-02, eta: 2 days, 11:22:37, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5627, loss_cls: 6.7319, loss: 6.7319 2023-12-31 04:05:25,500 - pyskl - INFO - Epoch [61][1500/3746] lr: 6.505e-02, eta: 2 days, 11:21:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5522, loss_cls: 6.7572, loss: 6.7572 2023-12-31 04:06:26,004 - pyskl - INFO - Epoch [61][1600/3746] lr: 6.503e-02, eta: 2 days, 11:20:20, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5503, loss_cls: 6.7634, loss: 6.7634 2023-12-31 04:07:26,499 - pyskl - INFO - Epoch [61][1700/3746] lr: 6.500e-02, eta: 2 days, 11:19:12, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5522, loss_cls: 6.7472, loss: 6.7472 2023-12-31 04:08:26,821 - pyskl - INFO - Epoch [61][1800/3746] lr: 6.497e-02, eta: 2 days, 11:18:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5567, loss_cls: 6.7313, loss: 6.7313 2023-12-31 04:09:26,924 - pyskl - INFO - Epoch [61][1900/3746] lr: 6.495e-02, eta: 2 days, 11:16:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5569, loss_cls: 6.7191, loss: 6.7191 2023-12-31 04:10:27,651 - pyskl - INFO - Epoch [61][2000/3746] lr: 6.492e-02, eta: 2 days, 11:15:46, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5497, loss_cls: 6.7486, loss: 6.7486 2023-12-31 04:11:28,723 - pyskl - INFO - Epoch [61][2100/3746] lr: 6.489e-02, eta: 2 days, 11:14:39, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5631, loss_cls: 6.7055, loss: 6.7055 2023-12-31 04:12:29,422 - pyskl - INFO - Epoch [61][2200/3746] lr: 6.487e-02, eta: 2 days, 11:13:31, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5573, loss_cls: 6.7123, loss: 6.7123 2023-12-31 04:13:30,476 - pyskl - INFO - Epoch [61][2300/3746] lr: 6.484e-02, eta: 2 days, 11:12:23, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5564, loss_cls: 6.7135, loss: 6.7135 2023-12-31 04:14:31,090 - pyskl - INFO - Epoch [61][2400/3746] lr: 6.481e-02, eta: 2 days, 11:11:15, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5591, loss_cls: 6.7242, loss: 6.7242 2023-12-31 04:15:31,841 - pyskl - INFO - Epoch [61][2500/3746] lr: 6.478e-02, eta: 2 days, 11:10:07, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5475, loss_cls: 6.7784, loss: 6.7784 2023-12-31 04:16:32,196 - pyskl - INFO - Epoch [61][2600/3746] lr: 6.476e-02, eta: 2 days, 11:08:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5495, loss_cls: 6.7563, loss: 6.7563 2023-12-31 04:17:32,605 - pyskl - INFO - Epoch [61][2700/3746] lr: 6.473e-02, eta: 2 days, 11:07:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2928, top5_acc: 0.5528, loss_cls: 6.7568, loss: 6.7568 2023-12-31 04:18:32,612 - pyskl - INFO - Epoch [61][2800/3746] lr: 6.470e-02, eta: 2 days, 11:06:41, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5516, loss_cls: 6.7180, loss: 6.7180 2023-12-31 04:19:32,484 - pyskl - INFO - Epoch [61][2900/3746] lr: 6.468e-02, eta: 2 days, 11:05:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2972, top5_acc: 0.5517, loss_cls: 6.7465, loss: 6.7465 2023-12-31 04:20:32,352 - pyskl - INFO - Epoch [61][3000/3746] lr: 6.465e-02, eta: 2 days, 11:04:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3008, top5_acc: 0.5653, loss_cls: 6.7206, loss: 6.7206 2023-12-31 04:21:32,361 - pyskl - INFO - Epoch [61][3100/3746] lr: 6.462e-02, eta: 2 days, 11:03:14, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5505, loss_cls: 6.7743, loss: 6.7743 2023-12-31 04:22:32,723 - pyskl - INFO - Epoch [61][3200/3746] lr: 6.460e-02, eta: 2 days, 11:02:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5559, loss_cls: 6.7119, loss: 6.7119 2023-12-31 04:23:32,683 - pyskl - INFO - Epoch [61][3300/3746] lr: 6.457e-02, eta: 2 days, 11:00:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5525, loss_cls: 6.7647, loss: 6.7647 2023-12-31 04:24:33,007 - pyskl - INFO - Epoch [61][3400/3746] lr: 6.454e-02, eta: 2 days, 10:59:48, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5537, loss_cls: 6.7452, loss: 6.7452 2023-12-31 04:25:33,128 - pyskl - INFO - Epoch [61][3500/3746] lr: 6.452e-02, eta: 2 days, 10:58:39, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3097, top5_acc: 0.5614, loss_cls: 6.7006, loss: 6.7006 2023-12-31 04:26:33,302 - pyskl - INFO - Epoch [61][3600/3746] lr: 6.449e-02, eta: 2 days, 10:57:30, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5602, loss_cls: 6.7333, loss: 6.7333 2023-12-31 04:27:33,501 - pyskl - INFO - Epoch [61][3700/3746] lr: 6.446e-02, eta: 2 days, 10:56:22, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5508, loss_cls: 6.7742, loss: 6.7742 2023-12-31 04:28:03,749 - pyskl - INFO - Saving checkpoint at 61 epochs 2023-12-31 04:30:02,746 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 04:30:03,525 - pyskl - INFO - top1_acc 0.2109 top5_acc 0.4502 2023-12-31 04:30:03,525 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 04:30:03,555 - pyskl - INFO - mean_acc 0.2106 2023-12-31 04:30:03,562 - pyskl - INFO - Epoch(val) [61][309] top1_acc: 0.2109, top5_acc: 0.4502, mean_class_accuracy: 0.2106 2023-12-31 04:33:23,132 - pyskl - INFO - Epoch [62][100/3746] lr: 6.443e-02, eta: 2 days, 10:57:24, time: 1.996, data_time: 1.405, memory: 16177, top1_acc: 0.3153, top5_acc: 0.5791, loss_cls: 6.6175, loss: 6.6175 2023-12-31 04:34:22,695 - pyskl - INFO - Epoch [62][200/3746] lr: 6.440e-02, eta: 2 days, 10:56:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3028, top5_acc: 0.5633, loss_cls: 6.7121, loss: 6.7121 2023-12-31 04:35:22,857 - pyskl - INFO - Epoch [62][300/3746] lr: 6.437e-02, eta: 2 days, 10:55:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3091, top5_acc: 0.5581, loss_cls: 6.7009, loss: 6.7009 2023-12-31 04:36:22,914 - pyskl - INFO - Epoch [62][400/3746] lr: 6.434e-02, eta: 2 days, 10:53:57, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5536, loss_cls: 6.7711, loss: 6.7711 2023-12-31 04:37:23,452 - pyskl - INFO - Epoch [62][500/3746] lr: 6.432e-02, eta: 2 days, 10:52:49, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5531, loss_cls: 6.7191, loss: 6.7191 2023-12-31 04:38:24,410 - pyskl - INFO - Epoch [62][600/3746] lr: 6.429e-02, eta: 2 days, 10:51:41, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5606, loss_cls: 6.7028, loss: 6.7028 2023-12-31 04:39:24,773 - pyskl - INFO - Epoch [62][700/3746] lr: 6.426e-02, eta: 2 days, 10:50:33, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3053, top5_acc: 0.5600, loss_cls: 6.7104, loss: 6.7104 2023-12-31 04:40:25,370 - pyskl - INFO - Epoch [62][800/3746] lr: 6.424e-02, eta: 2 days, 10:49:24, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5491, loss_cls: 6.7353, loss: 6.7353 2023-12-31 04:41:25,933 - pyskl - INFO - Epoch [62][900/3746] lr: 6.421e-02, eta: 2 days, 10:48:16, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2983, top5_acc: 0.5559, loss_cls: 6.7316, loss: 6.7316 2023-12-31 04:42:26,435 - pyskl - INFO - Epoch [62][1000/3746] lr: 6.418e-02, eta: 2 days, 10:47:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5477, loss_cls: 6.7606, loss: 6.7606 2023-12-31 04:43:27,569 - pyskl - INFO - Epoch [62][1100/3746] lr: 6.416e-02, eta: 2 days, 10:46:01, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5650, loss_cls: 6.6809, loss: 6.6809 2023-12-31 04:44:28,716 - pyskl - INFO - Epoch [62][1200/3746] lr: 6.413e-02, eta: 2 days, 10:44:53, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5591, loss_cls: 6.6990, loss: 6.6990 2023-12-31 04:45:29,979 - pyskl - INFO - Epoch [62][1300/3746] lr: 6.410e-02, eta: 2 days, 10:43:46, time: 0.613, data_time: 0.001, memory: 16177, top1_acc: 0.3053, top5_acc: 0.5539, loss_cls: 6.7609, loss: 6.7609 2023-12-31 04:46:30,736 - pyskl - INFO - Epoch [62][1400/3746] lr: 6.408e-02, eta: 2 days, 10:42:38, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5591, loss_cls: 6.7031, loss: 6.7031 2023-12-31 04:47:31,316 - pyskl - INFO - Epoch [62][1500/3746] lr: 6.405e-02, eta: 2 days, 10:41:30, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2997, top5_acc: 0.5587, loss_cls: 6.7481, loss: 6.7481 2023-12-31 04:48:31,154 - pyskl - INFO - Epoch [62][1600/3746] lr: 6.402e-02, eta: 2 days, 10:40:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5566, loss_cls: 6.7191, loss: 6.7191 2023-12-31 04:49:31,039 - pyskl - INFO - Epoch [62][1700/3746] lr: 6.400e-02, eta: 2 days, 10:39:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3023, top5_acc: 0.5525, loss_cls: 6.7206, loss: 6.7206 2023-12-31 04:50:31,199 - pyskl - INFO - Epoch [62][1800/3746] lr: 6.397e-02, eta: 2 days, 10:38:03, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5639, loss_cls: 6.7113, loss: 6.7113 2023-12-31 04:51:31,540 - pyskl - INFO - Epoch [62][1900/3746] lr: 6.394e-02, eta: 2 days, 10:36:55, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5556, loss_cls: 6.7494, loss: 6.7494 2023-12-31 04:52:32,478 - pyskl - INFO - Epoch [62][2000/3746] lr: 6.392e-02, eta: 2 days, 10:35:47, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2978, top5_acc: 0.5639, loss_cls: 6.7294, loss: 6.7294 2023-12-31 04:53:33,846 - pyskl - INFO - Epoch [62][2100/3746] lr: 6.389e-02, eta: 2 days, 10:34:40, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5534, loss_cls: 6.7336, loss: 6.7336 2023-12-31 04:54:34,011 - pyskl - INFO - Epoch [62][2200/3746] lr: 6.386e-02, eta: 2 days, 10:33:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5573, loss_cls: 6.7438, loss: 6.7438 2023-12-31 04:55:34,605 - pyskl - INFO - Epoch [62][2300/3746] lr: 6.384e-02, eta: 2 days, 10:32:24, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3078, top5_acc: 0.5575, loss_cls: 6.7055, loss: 6.7055 2023-12-31 04:56:34,970 - pyskl - INFO - Epoch [62][2400/3746] lr: 6.381e-02, eta: 2 days, 10:31:15, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5644, loss_cls: 6.6742, loss: 6.6742 2023-12-31 04:57:35,832 - pyskl - INFO - Epoch [62][2500/3746] lr: 6.378e-02, eta: 2 days, 10:30:08, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5505, loss_cls: 6.7534, loss: 6.7534 2023-12-31 04:58:35,934 - pyskl - INFO - Epoch [62][2600/3746] lr: 6.375e-02, eta: 2 days, 10:28:59, time: 0.601, data_time: 0.001, memory: 16177, top1_acc: 0.3011, top5_acc: 0.5511, loss_cls: 6.7381, loss: 6.7381 2023-12-31 04:59:35,622 - pyskl - INFO - Epoch [62][2700/3746] lr: 6.373e-02, eta: 2 days, 10:27:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5356, loss_cls: 6.8267, loss: 6.8267 2023-12-31 05:00:35,642 - pyskl - INFO - Epoch [62][2800/3746] lr: 6.370e-02, eta: 2 days, 10:26:41, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5558, loss_cls: 6.7279, loss: 6.7279 2023-12-31 05:01:35,636 - pyskl - INFO - Epoch [62][2900/3746] lr: 6.367e-02, eta: 2 days, 10:25:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5422, loss_cls: 6.7862, loss: 6.7862 2023-12-31 05:02:35,816 - pyskl - INFO - Epoch [62][3000/3746] lr: 6.365e-02, eta: 2 days, 10:24:23, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5464, loss_cls: 6.7875, loss: 6.7875 2023-12-31 05:03:35,926 - pyskl - INFO - Epoch [62][3100/3746] lr: 6.362e-02, eta: 2 days, 10:23:15, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5528, loss_cls: 6.7286, loss: 6.7286 2023-12-31 05:04:36,082 - pyskl - INFO - Epoch [62][3200/3746] lr: 6.359e-02, eta: 2 days, 10:22:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5559, loss_cls: 6.7313, loss: 6.7313 2023-12-31 05:05:36,417 - pyskl - INFO - Epoch [62][3300/3746] lr: 6.357e-02, eta: 2 days, 10:20:58, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5637, loss_cls: 6.6796, loss: 6.6796 2023-12-31 05:06:36,666 - pyskl - INFO - Epoch [62][3400/3746] lr: 6.354e-02, eta: 2 days, 10:19:49, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5380, loss_cls: 6.8014, loss: 6.8014 2023-12-31 05:07:37,559 - pyskl - INFO - Epoch [62][3500/3746] lr: 6.351e-02, eta: 2 days, 10:18:42, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2927, top5_acc: 0.5481, loss_cls: 6.7539, loss: 6.7539 2023-12-31 05:08:38,122 - pyskl - INFO - Epoch [62][3600/3746] lr: 6.349e-02, eta: 2 days, 10:17:34, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5558, loss_cls: 6.7239, loss: 6.7239 2023-12-31 05:09:38,920 - pyskl - INFO - Epoch [62][3700/3746] lr: 6.346e-02, eta: 2 days, 10:16:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3013, top5_acc: 0.5583, loss_cls: 6.7273, loss: 6.7273 2023-12-31 05:10:10,061 - pyskl - INFO - Saving checkpoint at 62 epochs 2023-12-31 05:12:14,885 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 05:12:15,926 - pyskl - INFO - top1_acc 0.2187 top5_acc 0.4556 2023-12-31 05:12:15,926 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 05:12:15,963 - pyskl - INFO - mean_acc 0.2183 2023-12-31 05:12:15,973 - pyskl - INFO - Epoch(val) [62][309] top1_acc: 0.2187, top5_acc: 0.4556, mean_class_accuracy: 0.2183 2023-12-31 05:15:36,798 - pyskl - INFO - Epoch [63][100/3746] lr: 6.342e-02, eta: 2 days, 10:17:26, time: 2.008, data_time: 1.415, memory: 16177, top1_acc: 0.3161, top5_acc: 0.5756, loss_cls: 6.6301, loss: 6.6301 2023-12-31 05:16:36,353 - pyskl - INFO - Epoch [63][200/3746] lr: 6.339e-02, eta: 2 days, 10:16:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5584, loss_cls: 6.6995, loss: 6.6995 2023-12-31 05:17:36,645 - pyskl - INFO - Epoch [63][300/3746] lr: 6.337e-02, eta: 2 days, 10:15:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5533, loss_cls: 6.7424, loss: 6.7424 2023-12-31 05:18:36,504 - pyskl - INFO - Epoch [63][400/3746] lr: 6.334e-02, eta: 2 days, 10:13:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5534, loss_cls: 6.7392, loss: 6.7392 2023-12-31 05:19:36,547 - pyskl - INFO - Epoch [63][500/3746] lr: 6.331e-02, eta: 2 days, 10:12:50, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5770, loss_cls: 6.6942, loss: 6.6942 2023-12-31 05:20:36,834 - pyskl - INFO - Epoch [63][600/3746] lr: 6.328e-02, eta: 2 days, 10:11:42, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5614, loss_cls: 6.7333, loss: 6.7333 2023-12-31 05:21:37,194 - pyskl - INFO - Epoch [63][700/3746] lr: 6.326e-02, eta: 2 days, 10:10:34, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5528, loss_cls: 6.7434, loss: 6.7434 2023-12-31 05:22:38,211 - pyskl - INFO - Epoch [63][800/3746] lr: 6.323e-02, eta: 2 days, 10:09:26, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3011, top5_acc: 0.5594, loss_cls: 6.7136, loss: 6.7136 2023-12-31 05:23:38,727 - pyskl - INFO - Epoch [63][900/3746] lr: 6.320e-02, eta: 2 days, 10:08:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3111, top5_acc: 0.5647, loss_cls: 6.6985, loss: 6.6985 2023-12-31 05:24:39,065 - pyskl - INFO - Epoch [63][1000/3746] lr: 6.318e-02, eta: 2 days, 10:07:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3131, top5_acc: 0.5542, loss_cls: 6.7222, loss: 6.7222 2023-12-31 05:25:39,270 - pyskl - INFO - Epoch [63][1100/3746] lr: 6.315e-02, eta: 2 days, 10:06:01, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5530, loss_cls: 6.7141, loss: 6.7141 2023-12-31 05:26:40,251 - pyskl - INFO - Epoch [63][1200/3746] lr: 6.312e-02, eta: 2 days, 10:04:54, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5506, loss_cls: 6.7390, loss: 6.7390 2023-12-31 05:27:40,559 - pyskl - INFO - Epoch [63][1300/3746] lr: 6.310e-02, eta: 2 days, 10:03:45, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3013, top5_acc: 0.5606, loss_cls: 6.7241, loss: 6.7241 2023-12-31 05:28:40,953 - pyskl - INFO - Epoch [63][1400/3746] lr: 6.307e-02, eta: 2 days, 10:02:37, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5583, loss_cls: 6.6942, loss: 6.6942 2023-12-31 05:29:40,961 - pyskl - INFO - Epoch [63][1500/3746] lr: 6.304e-02, eta: 2 days, 10:01:28, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5544, loss_cls: 6.7194, loss: 6.7194 2023-12-31 05:30:41,296 - pyskl - INFO - Epoch [63][1600/3746] lr: 6.301e-02, eta: 2 days, 10:00:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5630, loss_cls: 6.6737, loss: 6.6737 2023-12-31 05:31:41,390 - pyskl - INFO - Epoch [63][1700/3746] lr: 6.299e-02, eta: 2 days, 9:59:11, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3019, top5_acc: 0.5587, loss_cls: 6.7274, loss: 6.7274 2023-12-31 05:32:41,932 - pyskl - INFO - Epoch [63][1800/3746] lr: 6.296e-02, eta: 2 days, 9:58:03, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5477, loss_cls: 6.7802, loss: 6.7802 2023-12-31 05:33:42,343 - pyskl - INFO - Epoch [63][1900/3746] lr: 6.293e-02, eta: 2 days, 9:56:55, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5553, loss_cls: 6.7603, loss: 6.7603 2023-12-31 05:34:42,783 - pyskl - INFO - Epoch [63][2000/3746] lr: 6.291e-02, eta: 2 days, 9:55:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3019, top5_acc: 0.5550, loss_cls: 6.7302, loss: 6.7302 2023-12-31 05:35:43,677 - pyskl - INFO - Epoch [63][2100/3746] lr: 6.288e-02, eta: 2 days, 9:54:39, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5553, loss_cls: 6.7346, loss: 6.7346 2023-12-31 05:36:43,648 - pyskl - INFO - Epoch [63][2200/3746] lr: 6.285e-02, eta: 2 days, 9:53:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3017, top5_acc: 0.5642, loss_cls: 6.7182, loss: 6.7182 2023-12-31 05:37:44,112 - pyskl - INFO - Epoch [63][2300/3746] lr: 6.283e-02, eta: 2 days, 9:52:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5586, loss_cls: 6.6683, loss: 6.6683 2023-12-31 05:38:44,563 - pyskl - INFO - Epoch [63][2400/3746] lr: 6.280e-02, eta: 2 days, 9:51:14, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5586, loss_cls: 6.7207, loss: 6.7207 2023-12-31 05:39:44,949 - pyskl - INFO - Epoch [63][2500/3746] lr: 6.277e-02, eta: 2 days, 9:50:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5513, loss_cls: 6.7557, loss: 6.7557 2023-12-31 05:40:45,310 - pyskl - INFO - Epoch [63][2600/3746] lr: 6.274e-02, eta: 2 days, 9:48:58, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5577, loss_cls: 6.7025, loss: 6.7025 2023-12-31 05:41:45,656 - pyskl - INFO - Epoch [63][2700/3746] lr: 6.272e-02, eta: 2 days, 9:47:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5431, loss_cls: 6.7694, loss: 6.7694 2023-12-31 05:42:45,871 - pyskl - INFO - Epoch [63][2800/3746] lr: 6.269e-02, eta: 2 days, 9:46:41, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5506, loss_cls: 6.7525, loss: 6.7525 2023-12-31 05:43:45,568 - pyskl - INFO - Epoch [63][2900/3746] lr: 6.266e-02, eta: 2 days, 9:45:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3073, top5_acc: 0.5539, loss_cls: 6.7374, loss: 6.7374 2023-12-31 05:44:45,447 - pyskl - INFO - Epoch [63][3000/3746] lr: 6.264e-02, eta: 2 days, 9:44:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5584, loss_cls: 6.7600, loss: 6.7600 2023-12-31 05:45:45,591 - pyskl - INFO - Epoch [63][3100/3746] lr: 6.261e-02, eta: 2 days, 9:43:15, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5586, loss_cls: 6.7343, loss: 6.7343 2023-12-31 05:46:46,188 - pyskl - INFO - Epoch [63][3200/3746] lr: 6.258e-02, eta: 2 days, 9:42:07, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3005, top5_acc: 0.5550, loss_cls: 6.7496, loss: 6.7496 2023-12-31 05:47:47,029 - pyskl - INFO - Epoch [63][3300/3746] lr: 6.256e-02, eta: 2 days, 9:41:00, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3091, top5_acc: 0.5620, loss_cls: 6.7059, loss: 6.7059 2023-12-31 05:48:46,941 - pyskl - INFO - Epoch [63][3400/3746] lr: 6.253e-02, eta: 2 days, 9:39:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5631, loss_cls: 6.7062, loss: 6.7062 2023-12-31 05:49:47,102 - pyskl - INFO - Epoch [63][3500/3746] lr: 6.250e-02, eta: 2 days, 9:38:42, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3028, top5_acc: 0.5628, loss_cls: 6.7039, loss: 6.7039 2023-12-31 05:50:47,352 - pyskl - INFO - Epoch [63][3600/3746] lr: 6.247e-02, eta: 2 days, 9:37:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5459, loss_cls: 6.7381, loss: 6.7381 2023-12-31 05:51:47,567 - pyskl - INFO - Epoch [63][3700/3746] lr: 6.245e-02, eta: 2 days, 9:36:26, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5600, loss_cls: 6.7028, loss: 6.7028 2023-12-31 05:52:18,279 - pyskl - INFO - Saving checkpoint at 63 epochs 2023-12-31 05:54:19,466 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 05:54:20,540 - pyskl - INFO - top1_acc 0.2300 top5_acc 0.4661 2023-12-31 05:54:20,540 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 05:54:20,596 - pyskl - INFO - mean_acc 0.2298 2023-12-31 05:54:20,608 - pyskl - INFO - Epoch(val) [63][309] top1_acc: 0.2300, top5_acc: 0.4661, mean_class_accuracy: 0.2298 2023-12-31 05:57:40,751 - pyskl - INFO - Epoch [64][100/3746] lr: 6.241e-02, eta: 2 days, 9:37:21, time: 2.001, data_time: 1.406, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5550, loss_cls: 6.7045, loss: 6.7045 2023-12-31 05:58:40,714 - pyskl - INFO - Epoch [64][200/3746] lr: 6.238e-02, eta: 2 days, 9:36:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5689, loss_cls: 6.6760, loss: 6.6760 2023-12-31 05:59:40,682 - pyskl - INFO - Epoch [64][300/3746] lr: 6.235e-02, eta: 2 days, 9:35:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3070, top5_acc: 0.5645, loss_cls: 6.6812, loss: 6.6812 2023-12-31 06:00:40,891 - pyskl - INFO - Epoch [64][400/3746] lr: 6.233e-02, eta: 2 days, 9:33:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3047, top5_acc: 0.5647, loss_cls: 6.6854, loss: 6.6854 2023-12-31 06:01:41,294 - pyskl - INFO - Epoch [64][500/3746] lr: 6.230e-02, eta: 2 days, 9:32:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3061, top5_acc: 0.5603, loss_cls: 6.6975, loss: 6.6975 2023-12-31 06:02:41,662 - pyskl - INFO - Epoch [64][600/3746] lr: 6.227e-02, eta: 2 days, 9:31:39, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3053, top5_acc: 0.5653, loss_cls: 6.6899, loss: 6.6899 2023-12-31 06:03:42,003 - pyskl - INFO - Epoch [64][700/3746] lr: 6.225e-02, eta: 2 days, 9:30:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3102, top5_acc: 0.5675, loss_cls: 6.6849, loss: 6.6849 2023-12-31 06:04:42,601 - pyskl - INFO - Epoch [64][800/3746] lr: 6.222e-02, eta: 2 days, 9:29:22, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5533, loss_cls: 6.7454, loss: 6.7454 2023-12-31 06:05:43,062 - pyskl - INFO - Epoch [64][900/3746] lr: 6.219e-02, eta: 2 days, 9:28:14, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2966, top5_acc: 0.5513, loss_cls: 6.7358, loss: 6.7358 2023-12-31 06:06:43,507 - pyskl - INFO - Epoch [64][1000/3746] lr: 6.216e-02, eta: 2 days, 9:27:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3111, top5_acc: 0.5592, loss_cls: 6.6783, loss: 6.6783 2023-12-31 06:07:44,241 - pyskl - INFO - Epoch [64][1100/3746] lr: 6.214e-02, eta: 2 days, 9:25:59, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5595, loss_cls: 6.6844, loss: 6.6844 2023-12-31 06:08:44,876 - pyskl - INFO - Epoch [64][1200/3746] lr: 6.211e-02, eta: 2 days, 9:24:51, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5609, loss_cls: 6.6975, loss: 6.6975 2023-12-31 06:09:45,982 - pyskl - INFO - Epoch [64][1300/3746] lr: 6.208e-02, eta: 2 days, 9:23:44, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5548, loss_cls: 6.7210, loss: 6.7210 2023-12-31 06:10:46,799 - pyskl - INFO - Epoch [64][1400/3746] lr: 6.206e-02, eta: 2 days, 9:22:36, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5653, loss_cls: 6.6586, loss: 6.6586 2023-12-31 06:11:47,145 - pyskl - INFO - Epoch [64][1500/3746] lr: 6.203e-02, eta: 2 days, 9:21:28, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5597, loss_cls: 6.7182, loss: 6.7182 2023-12-31 06:12:47,500 - pyskl - INFO - Epoch [64][1600/3746] lr: 6.200e-02, eta: 2 days, 9:20:20, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5587, loss_cls: 6.6947, loss: 6.6947 2023-12-31 06:13:47,255 - pyskl - INFO - Epoch [64][1700/3746] lr: 6.197e-02, eta: 2 days, 9:19:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5597, loss_cls: 6.7308, loss: 6.7308 2023-12-31 06:14:47,450 - pyskl - INFO - Epoch [64][1800/3746] lr: 6.195e-02, eta: 2 days, 9:18:03, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5542, loss_cls: 6.7403, loss: 6.7403 2023-12-31 06:15:47,739 - pyskl - INFO - Epoch [64][1900/3746] lr: 6.192e-02, eta: 2 days, 9:16:54, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2945, top5_acc: 0.5513, loss_cls: 6.7221, loss: 6.7221 2023-12-31 06:16:48,635 - pyskl - INFO - Epoch [64][2000/3746] lr: 6.189e-02, eta: 2 days, 9:15:47, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3061, top5_acc: 0.5637, loss_cls: 6.7017, loss: 6.7017 2023-12-31 06:17:49,611 - pyskl - INFO - Epoch [64][2100/3746] lr: 6.187e-02, eta: 2 days, 9:14:40, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3009, top5_acc: 0.5544, loss_cls: 6.7463, loss: 6.7463 2023-12-31 06:18:49,961 - pyskl - INFO - Epoch [64][2200/3746] lr: 6.184e-02, eta: 2 days, 9:13:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5594, loss_cls: 6.7394, loss: 6.7394 2023-12-31 06:19:51,019 - pyskl - INFO - Epoch [64][2300/3746] lr: 6.181e-02, eta: 2 days, 9:12:24, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5570, loss_cls: 6.7020, loss: 6.7020 2023-12-31 06:20:51,770 - pyskl - INFO - Epoch [64][2400/3746] lr: 6.178e-02, eta: 2 days, 9:11:17, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5598, loss_cls: 6.6888, loss: 6.6888 2023-12-31 06:21:52,794 - pyskl - INFO - Epoch [64][2500/3746] lr: 6.176e-02, eta: 2 days, 9:10:10, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2945, top5_acc: 0.5472, loss_cls: 6.7587, loss: 6.7587 2023-12-31 06:22:53,391 - pyskl - INFO - Epoch [64][2600/3746] lr: 6.173e-02, eta: 2 days, 9:09:02, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5537, loss_cls: 6.7180, loss: 6.7180 2023-12-31 06:23:53,180 - pyskl - INFO - Epoch [64][2700/3746] lr: 6.170e-02, eta: 2 days, 9:07:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5548, loss_cls: 6.7399, loss: 6.7399 2023-12-31 06:24:53,159 - pyskl - INFO - Epoch [64][2800/3746] lr: 6.168e-02, eta: 2 days, 9:06:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5666, loss_cls: 6.6723, loss: 6.6723 2023-12-31 06:25:53,390 - pyskl - INFO - Epoch [64][2900/3746] lr: 6.165e-02, eta: 2 days, 9:05:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5514, loss_cls: 6.7359, loss: 6.7359 2023-12-31 06:26:53,458 - pyskl - INFO - Epoch [64][3000/3746] lr: 6.162e-02, eta: 2 days, 9:04:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3086, top5_acc: 0.5598, loss_cls: 6.6903, loss: 6.6903 2023-12-31 06:27:53,648 - pyskl - INFO - Epoch [64][3100/3746] lr: 6.159e-02, eta: 2 days, 9:03:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3114, top5_acc: 0.5581, loss_cls: 6.6898, loss: 6.6898 2023-12-31 06:28:54,040 - pyskl - INFO - Epoch [64][3200/3746] lr: 6.157e-02, eta: 2 days, 9:02:11, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5606, loss_cls: 6.7297, loss: 6.7297 2023-12-31 06:29:54,381 - pyskl - INFO - Epoch [64][3300/3746] lr: 6.154e-02, eta: 2 days, 9:01:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5556, loss_cls: 6.7379, loss: 6.7379 2023-12-31 06:30:54,733 - pyskl - INFO - Epoch [64][3400/3746] lr: 6.151e-02, eta: 2 days, 8:59:55, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3023, top5_acc: 0.5522, loss_cls: 6.7279, loss: 6.7279 2023-12-31 06:31:54,887 - pyskl - INFO - Epoch [64][3500/3746] lr: 6.148e-02, eta: 2 days, 8:58:47, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5545, loss_cls: 6.7360, loss: 6.7360 2023-12-31 06:32:55,151 - pyskl - INFO - Epoch [64][3600/3746] lr: 6.146e-02, eta: 2 days, 8:57:39, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3047, top5_acc: 0.5498, loss_cls: 6.7602, loss: 6.7602 2023-12-31 06:33:55,224 - pyskl - INFO - Epoch [64][3700/3746] lr: 6.143e-02, eta: 2 days, 8:56:30, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3013, top5_acc: 0.5564, loss_cls: 6.7189, loss: 6.7189 2023-12-31 06:34:25,650 - pyskl - INFO - Saving checkpoint at 64 epochs 2023-12-31 06:36:26,998 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 06:36:27,790 - pyskl - INFO - top1_acc 0.2444 top5_acc 0.4817 2023-12-31 06:36:27,790 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 06:36:27,820 - pyskl - INFO - mean_acc 0.2442 2023-12-31 06:36:27,826 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_59.pth was removed 2023-12-31 06:36:28,062 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_64.pth. 2023-12-31 06:36:28,062 - pyskl - INFO - Best top1_acc is 0.2444 at 64 epoch. 2023-12-31 06:36:28,069 - pyskl - INFO - Epoch(val) [64][309] top1_acc: 0.2444, top5_acc: 0.4817, mean_class_accuracy: 0.2442 2023-12-31 06:39:51,963 - pyskl - INFO - Epoch [65][100/3746] lr: 6.139e-02, eta: 2 days, 8:57:27, time: 2.039, data_time: 1.447, memory: 16177, top1_acc: 0.3167, top5_acc: 0.5627, loss_cls: 6.6553, loss: 6.6553 2023-12-31 06:40:51,513 - pyskl - INFO - Epoch [65][200/3746] lr: 6.136e-02, eta: 2 days, 8:56:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5719, loss_cls: 6.6585, loss: 6.6585 2023-12-31 06:41:51,603 - pyskl - INFO - Epoch [65][300/3746] lr: 6.134e-02, eta: 2 days, 8:55:09, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3109, top5_acc: 0.5592, loss_cls: 6.6806, loss: 6.6806 2023-12-31 06:42:51,571 - pyskl - INFO - Epoch [65][400/3746] lr: 6.131e-02, eta: 2 days, 8:54:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3097, top5_acc: 0.5745, loss_cls: 6.6593, loss: 6.6593 2023-12-31 06:43:51,812 - pyskl - INFO - Epoch [65][500/3746] lr: 6.128e-02, eta: 2 days, 8:52:52, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5620, loss_cls: 6.7013, loss: 6.7013 2023-12-31 06:44:52,333 - pyskl - INFO - Epoch [65][600/3746] lr: 6.125e-02, eta: 2 days, 8:51:44, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5595, loss_cls: 6.7149, loss: 6.7149 2023-12-31 06:45:53,363 - pyskl - INFO - Epoch [65][700/3746] lr: 6.123e-02, eta: 2 days, 8:50:37, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3013, top5_acc: 0.5663, loss_cls: 6.7283, loss: 6.7283 2023-12-31 06:46:54,196 - pyskl - INFO - Epoch [65][800/3746] lr: 6.120e-02, eta: 2 days, 8:49:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2963, top5_acc: 0.5619, loss_cls: 6.7158, loss: 6.7158 2023-12-31 06:47:54,543 - pyskl - INFO - Epoch [65][900/3746] lr: 6.117e-02, eta: 2 days, 8:48:22, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5553, loss_cls: 6.7046, loss: 6.7046 2023-12-31 06:48:54,609 - pyskl - INFO - Epoch [65][1000/3746] lr: 6.115e-02, eta: 2 days, 8:47:13, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2916, top5_acc: 0.5606, loss_cls: 6.7099, loss: 6.7099 2023-12-31 06:49:56,148 - pyskl - INFO - Epoch [65][1100/3746] lr: 6.112e-02, eta: 2 days, 8:46:07, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5631, loss_cls: 6.6869, loss: 6.6869 2023-12-31 06:50:58,201 - pyskl - INFO - Epoch [65][1200/3746] lr: 6.109e-02, eta: 2 days, 8:45:01, time: 0.621, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5578, loss_cls: 6.6934, loss: 6.6934 2023-12-31 06:51:58,894 - pyskl - INFO - Epoch [65][1300/3746] lr: 6.106e-02, eta: 2 days, 8:43:53, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5583, loss_cls: 6.7268, loss: 6.7268 2023-12-31 06:52:59,254 - pyskl - INFO - Epoch [65][1400/3746] lr: 6.104e-02, eta: 2 days, 8:42:45, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5602, loss_cls: 6.7062, loss: 6.7062 2023-12-31 06:53:59,533 - pyskl - INFO - Epoch [65][1500/3746] lr: 6.101e-02, eta: 2 days, 8:41:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5553, loss_cls: 6.7203, loss: 6.7203 2023-12-31 06:54:59,625 - pyskl - INFO - Epoch [65][1600/3746] lr: 6.098e-02, eta: 2 days, 8:40:29, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5663, loss_cls: 6.7005, loss: 6.7005 2023-12-31 06:55:59,756 - pyskl - INFO - Epoch [65][1700/3746] lr: 6.095e-02, eta: 2 days, 8:39:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5694, loss_cls: 6.7005, loss: 6.7005 2023-12-31 06:56:59,710 - pyskl - INFO - Epoch [65][1800/3746] lr: 6.093e-02, eta: 2 days, 8:38:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3106, top5_acc: 0.5639, loss_cls: 6.6798, loss: 6.6798 2023-12-31 06:58:00,162 - pyskl - INFO - Epoch [65][1900/3746] lr: 6.090e-02, eta: 2 days, 8:37:04, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5628, loss_cls: 6.6809, loss: 6.6809 2023-12-31 06:59:01,012 - pyskl - INFO - Epoch [65][2000/3746] lr: 6.087e-02, eta: 2 days, 8:35:57, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5528, loss_cls: 6.7569, loss: 6.7569 2023-12-31 07:00:01,745 - pyskl - INFO - Epoch [65][2100/3746] lr: 6.085e-02, eta: 2 days, 8:34:49, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5570, loss_cls: 6.6948, loss: 6.6948 2023-12-31 07:01:02,222 - pyskl - INFO - Epoch [65][2200/3746] lr: 6.082e-02, eta: 2 days, 8:33:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3034, top5_acc: 0.5603, loss_cls: 6.6813, loss: 6.6813 2023-12-31 07:02:02,697 - pyskl - INFO - Epoch [65][2300/3746] lr: 6.079e-02, eta: 2 days, 8:32:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5613, loss_cls: 6.7230, loss: 6.7230 2023-12-31 07:03:03,270 - pyskl - INFO - Epoch [65][2400/3746] lr: 6.076e-02, eta: 2 days, 8:31:26, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3081, top5_acc: 0.5534, loss_cls: 6.6956, loss: 6.6956 2023-12-31 07:04:03,503 - pyskl - INFO - Epoch [65][2500/3746] lr: 6.074e-02, eta: 2 days, 8:30:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5623, loss_cls: 6.7091, loss: 6.7091 2023-12-31 07:05:03,815 - pyskl - INFO - Epoch [65][2600/3746] lr: 6.071e-02, eta: 2 days, 8:29:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5641, loss_cls: 6.6980, loss: 6.6980 2023-12-31 07:06:03,594 - pyskl - INFO - Epoch [65][2700/3746] lr: 6.068e-02, eta: 2 days, 8:28:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5634, loss_cls: 6.7018, loss: 6.7018 2023-12-31 07:07:03,814 - pyskl - INFO - Epoch [65][2800/3746] lr: 6.065e-02, eta: 2 days, 8:26:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5461, loss_cls: 6.7621, loss: 6.7621 2023-12-31 07:08:03,816 - pyskl - INFO - Epoch [65][2900/3746] lr: 6.063e-02, eta: 2 days, 8:25:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3055, top5_acc: 0.5555, loss_cls: 6.6855, loss: 6.6855 2023-12-31 07:09:03,668 - pyskl - INFO - Epoch [65][3000/3746] lr: 6.060e-02, eta: 2 days, 8:24:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3073, top5_acc: 0.5655, loss_cls: 6.6897, loss: 6.6897 2023-12-31 07:10:03,818 - pyskl - INFO - Epoch [65][3100/3746] lr: 6.057e-02, eta: 2 days, 8:23:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5591, loss_cls: 6.7293, loss: 6.7293 2023-12-31 07:11:04,234 - pyskl - INFO - Epoch [65][3200/3746] lr: 6.055e-02, eta: 2 days, 8:22:20, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5577, loss_cls: 6.7323, loss: 6.7323 2023-12-31 07:12:05,006 - pyskl - INFO - Epoch [65][3300/3746] lr: 6.052e-02, eta: 2 days, 8:21:12, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5520, loss_cls: 6.7235, loss: 6.7235 2023-12-31 07:13:05,452 - pyskl - INFO - Epoch [65][3400/3746] lr: 6.049e-02, eta: 2 days, 8:20:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3081, top5_acc: 0.5617, loss_cls: 6.6932, loss: 6.6932 2023-12-31 07:14:05,632 - pyskl - INFO - Epoch [65][3500/3746] lr: 6.046e-02, eta: 2 days, 8:18:56, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5637, loss_cls: 6.6711, loss: 6.6711 2023-12-31 07:15:05,877 - pyskl - INFO - Epoch [65][3600/3746] lr: 6.044e-02, eta: 2 days, 8:17:48, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5520, loss_cls: 6.7450, loss: 6.7450 2023-12-31 07:16:06,168 - pyskl - INFO - Epoch [65][3700/3746] lr: 6.041e-02, eta: 2 days, 8:16:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3073, top5_acc: 0.5656, loss_cls: 6.6937, loss: 6.6937 2023-12-31 07:16:36,975 - pyskl - INFO - Saving checkpoint at 65 epochs 2023-12-31 07:18:35,957 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 07:18:37,041 - pyskl - INFO - top1_acc 0.2435 top5_acc 0.4890 2023-12-31 07:18:37,041 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 07:18:37,086 - pyskl - INFO - mean_acc 0.2432 2023-12-31 07:18:37,096 - pyskl - INFO - Epoch(val) [65][309] top1_acc: 0.2435, top5_acc: 0.4890, mean_class_accuracy: 0.2432 2023-12-31 07:21:58,789 - pyskl - INFO - Epoch [66][100/3746] lr: 6.037e-02, eta: 2 days, 8:17:30, time: 2.017, data_time: 1.422, memory: 16177, top1_acc: 0.3180, top5_acc: 0.5752, loss_cls: 6.6245, loss: 6.6245 2023-12-31 07:22:58,713 - pyskl - INFO - Epoch [66][200/3746] lr: 6.034e-02, eta: 2 days, 8:16:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5720, loss_cls: 6.6665, loss: 6.6665 2023-12-31 07:23:58,572 - pyskl - INFO - Epoch [66][300/3746] lr: 6.031e-02, eta: 2 days, 8:15:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3147, top5_acc: 0.5728, loss_cls: 6.6371, loss: 6.6371 2023-12-31 07:24:58,811 - pyskl - INFO - Epoch [66][400/3746] lr: 6.029e-02, eta: 2 days, 8:14:04, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5617, loss_cls: 6.6943, loss: 6.6943 2023-12-31 07:25:58,941 - pyskl - INFO - Epoch [66][500/3746] lr: 6.026e-02, eta: 2 days, 8:12:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5544, loss_cls: 6.7311, loss: 6.7311 2023-12-31 07:26:58,898 - pyskl - INFO - Epoch [66][600/3746] lr: 6.023e-02, eta: 2 days, 8:11:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5636, loss_cls: 6.6781, loss: 6.6781 2023-12-31 07:27:59,066 - pyskl - INFO - Epoch [66][700/3746] lr: 6.020e-02, eta: 2 days, 8:10:39, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5667, loss_cls: 6.6851, loss: 6.6851 2023-12-31 07:28:59,531 - pyskl - INFO - Epoch [66][800/3746] lr: 6.018e-02, eta: 2 days, 8:09:32, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3152, top5_acc: 0.5672, loss_cls: 6.6776, loss: 6.6776 2023-12-31 07:29:59,557 - pyskl - INFO - Epoch [66][900/3746] lr: 6.015e-02, eta: 2 days, 8:08:23, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5652, loss_cls: 6.6869, loss: 6.6869 2023-12-31 07:30:59,892 - pyskl - INFO - Epoch [66][1000/3746] lr: 6.012e-02, eta: 2 days, 8:07:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3008, top5_acc: 0.5567, loss_cls: 6.7130, loss: 6.7130 2023-12-31 07:32:01,191 - pyskl - INFO - Epoch [66][1100/3746] lr: 6.009e-02, eta: 2 days, 8:06:09, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5656, loss_cls: 6.6704, loss: 6.6704 2023-12-31 07:33:01,838 - pyskl - INFO - Epoch [66][1200/3746] lr: 6.007e-02, eta: 2 days, 8:05:01, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5564, loss_cls: 6.7079, loss: 6.7079 2023-12-31 07:34:01,973 - pyskl - INFO - Epoch [66][1300/3746] lr: 6.004e-02, eta: 2 days, 8:03:53, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5672, loss_cls: 6.6638, loss: 6.6638 2023-12-31 07:35:02,282 - pyskl - INFO - Epoch [66][1400/3746] lr: 6.001e-02, eta: 2 days, 8:02:45, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5633, loss_cls: 6.6943, loss: 6.6943 2023-12-31 07:36:02,916 - pyskl - INFO - Epoch [66][1500/3746] lr: 5.999e-02, eta: 2 days, 8:01:37, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3131, top5_acc: 0.5602, loss_cls: 6.6730, loss: 6.6730 2023-12-31 07:37:03,573 - pyskl - INFO - Epoch [66][1600/3746] lr: 5.996e-02, eta: 2 days, 8:00:30, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3133, top5_acc: 0.5700, loss_cls: 6.6552, loss: 6.6552 2023-12-31 07:38:03,711 - pyskl - INFO - Epoch [66][1700/3746] lr: 5.993e-02, eta: 2 days, 7:59:22, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2992, top5_acc: 0.5561, loss_cls: 6.7583, loss: 6.7583 2023-12-31 07:39:03,982 - pyskl - INFO - Epoch [66][1800/3746] lr: 5.990e-02, eta: 2 days, 7:58:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5548, loss_cls: 6.7307, loss: 6.7307 2023-12-31 07:40:05,285 - pyskl - INFO - Epoch [66][1900/3746] lr: 5.988e-02, eta: 2 days, 7:57:07, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5578, loss_cls: 6.6861, loss: 6.6861 2023-12-31 07:41:06,567 - pyskl - INFO - Epoch [66][2000/3746] lr: 5.985e-02, eta: 2 days, 7:56:00, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3136, top5_acc: 0.5716, loss_cls: 6.6535, loss: 6.6535 2023-12-31 07:42:07,246 - pyskl - INFO - Epoch [66][2100/3746] lr: 5.982e-02, eta: 2 days, 7:54:53, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3091, top5_acc: 0.5619, loss_cls: 6.6951, loss: 6.6951 2023-12-31 07:43:07,759 - pyskl - INFO - Epoch [66][2200/3746] lr: 5.979e-02, eta: 2 days, 7:53:45, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3011, top5_acc: 0.5553, loss_cls: 6.7050, loss: 6.7050 2023-12-31 07:44:08,639 - pyskl - INFO - Epoch [66][2300/3746] lr: 5.977e-02, eta: 2 days, 7:52:38, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5722, loss_cls: 6.6507, loss: 6.6507 2023-12-31 07:45:09,306 - pyskl - INFO - Epoch [66][2400/3746] lr: 5.974e-02, eta: 2 days, 7:51:31, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5677, loss_cls: 6.7043, loss: 6.7043 2023-12-31 07:46:09,513 - pyskl - INFO - Epoch [66][2500/3746] lr: 5.971e-02, eta: 2 days, 7:50:23, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5705, loss_cls: 6.6909, loss: 6.6909 2023-12-31 07:47:09,228 - pyskl - INFO - Epoch [66][2600/3746] lr: 5.968e-02, eta: 2 days, 7:49:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5595, loss_cls: 6.6904, loss: 6.6904 2023-12-31 07:48:09,295 - pyskl - INFO - Epoch [66][2700/3746] lr: 5.966e-02, eta: 2 days, 7:48:06, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5552, loss_cls: 6.7552, loss: 6.7552 2023-12-31 07:49:09,447 - pyskl - INFO - Epoch [66][2800/3746] lr: 5.963e-02, eta: 2 days, 7:46:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3073, top5_acc: 0.5583, loss_cls: 6.6974, loss: 6.6974 2023-12-31 07:50:09,537 - pyskl - INFO - Epoch [66][2900/3746] lr: 5.960e-02, eta: 2 days, 7:45:49, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3044, top5_acc: 0.5608, loss_cls: 6.6881, loss: 6.6881 2023-12-31 07:51:09,768 - pyskl - INFO - Epoch [66][3000/3746] lr: 5.957e-02, eta: 2 days, 7:44:41, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3206, top5_acc: 0.5680, loss_cls: 6.6639, loss: 6.6639 2023-12-31 07:52:10,005 - pyskl - INFO - Epoch [66][3100/3746] lr: 5.955e-02, eta: 2 days, 7:43:33, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5709, loss_cls: 6.6348, loss: 6.6348 2023-12-31 07:53:10,349 - pyskl - INFO - Epoch [66][3200/3746] lr: 5.952e-02, eta: 2 days, 7:42:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5737, loss_cls: 6.6570, loss: 6.6570 2023-12-31 07:54:10,491 - pyskl - INFO - Epoch [66][3300/3746] lr: 5.949e-02, eta: 2 days, 7:41:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5503, loss_cls: 6.7648, loss: 6.7648 2023-12-31 07:55:10,740 - pyskl - INFO - Epoch [66][3400/3746] lr: 5.946e-02, eta: 2 days, 7:40:10, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5666, loss_cls: 6.6975, loss: 6.6975 2023-12-31 07:56:11,050 - pyskl - INFO - Epoch [66][3500/3746] lr: 5.944e-02, eta: 2 days, 7:39:02, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5602, loss_cls: 6.6837, loss: 6.6837 2023-12-31 07:57:11,299 - pyskl - INFO - Epoch [66][3600/3746] lr: 5.941e-02, eta: 2 days, 7:37:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5558, loss_cls: 6.7179, loss: 6.7179 2023-12-31 07:58:12,023 - pyskl - INFO - Epoch [66][3700/3746] lr: 5.938e-02, eta: 2 days, 7:36:47, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3081, top5_acc: 0.5567, loss_cls: 6.7214, loss: 6.7214 2023-12-31 07:58:42,096 - pyskl - INFO - Saving checkpoint at 66 epochs 2023-12-31 08:00:43,251 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 08:00:44,305 - pyskl - INFO - top1_acc 0.2418 top5_acc 0.4854 2023-12-31 08:00:44,305 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 08:00:44,349 - pyskl - INFO - mean_acc 0.2415 2023-12-31 08:00:44,360 - pyskl - INFO - Epoch(val) [66][309] top1_acc: 0.2418, top5_acc: 0.4854, mean_class_accuracy: 0.2415 2023-12-31 08:04:01,134 - pyskl - INFO - Epoch [67][100/3746] lr: 5.934e-02, eta: 2 days, 7:37:26, time: 1.968, data_time: 1.376, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5716, loss_cls: 6.6268, loss: 6.6268 2023-12-31 08:05:01,195 - pyskl - INFO - Epoch [67][200/3746] lr: 5.931e-02, eta: 2 days, 7:36:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3259, top5_acc: 0.5842, loss_cls: 6.5910, loss: 6.5910 2023-12-31 08:06:01,599 - pyskl - INFO - Epoch [67][300/3746] lr: 5.929e-02, eta: 2 days, 7:35:10, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5737, loss_cls: 6.6075, loss: 6.6075 2023-12-31 08:07:01,699 - pyskl - INFO - Epoch [67][400/3746] lr: 5.926e-02, eta: 2 days, 7:34:02, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3078, top5_acc: 0.5583, loss_cls: 6.6971, loss: 6.6971 2023-12-31 08:08:02,208 - pyskl - INFO - Epoch [67][500/3746] lr: 5.923e-02, eta: 2 days, 7:32:54, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3052, top5_acc: 0.5597, loss_cls: 6.6985, loss: 6.6985 2023-12-31 08:09:02,371 - pyskl - INFO - Epoch [67][600/3746] lr: 5.920e-02, eta: 2 days, 7:31:46, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5589, loss_cls: 6.6991, loss: 6.6991 2023-12-31 08:10:02,605 - pyskl - INFO - Epoch [67][700/3746] lr: 5.918e-02, eta: 2 days, 7:30:38, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3091, top5_acc: 0.5628, loss_cls: 6.6737, loss: 6.6737 2023-12-31 08:11:02,862 - pyskl - INFO - Epoch [67][800/3746] lr: 5.915e-02, eta: 2 days, 7:29:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3122, top5_acc: 0.5661, loss_cls: 6.6578, loss: 6.6578 2023-12-31 08:12:02,907 - pyskl - INFO - Epoch [67][900/3746] lr: 5.912e-02, eta: 2 days, 7:28:22, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3120, top5_acc: 0.5684, loss_cls: 6.6787, loss: 6.6787 2023-12-31 08:13:03,565 - pyskl - INFO - Epoch [67][1000/3746] lr: 5.909e-02, eta: 2 days, 7:27:14, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5656, loss_cls: 6.6988, loss: 6.6988 2023-12-31 08:14:04,617 - pyskl - INFO - Epoch [67][1100/3746] lr: 5.907e-02, eta: 2 days, 7:26:07, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3005, top5_acc: 0.5633, loss_cls: 6.7046, loss: 6.7046 2023-12-31 08:15:05,201 - pyskl - INFO - Epoch [67][1200/3746] lr: 5.904e-02, eta: 2 days, 7:25:00, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3158, top5_acc: 0.5744, loss_cls: 6.6540, loss: 6.6540 2023-12-31 08:16:05,391 - pyskl - INFO - Epoch [67][1300/3746] lr: 5.901e-02, eta: 2 days, 7:23:52, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3081, top5_acc: 0.5691, loss_cls: 6.6557, loss: 6.6557 2023-12-31 08:17:05,671 - pyskl - INFO - Epoch [67][1400/3746] lr: 5.898e-02, eta: 2 days, 7:22:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3061, top5_acc: 0.5563, loss_cls: 6.7408, loss: 6.7408 2023-12-31 08:18:06,162 - pyskl - INFO - Epoch [67][1500/3746] lr: 5.896e-02, eta: 2 days, 7:21:36, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5641, loss_cls: 6.6989, loss: 6.6989 2023-12-31 08:19:05,975 - pyskl - INFO - Epoch [67][1600/3746] lr: 5.893e-02, eta: 2 days, 7:20:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3089, top5_acc: 0.5667, loss_cls: 6.6748, loss: 6.6748 2023-12-31 08:20:06,155 - pyskl - INFO - Epoch [67][1700/3746] lr: 5.890e-02, eta: 2 days, 7:19:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3116, top5_acc: 0.5758, loss_cls: 6.6492, loss: 6.6492 2023-12-31 08:21:06,346 - pyskl - INFO - Epoch [67][1800/3746] lr: 5.887e-02, eta: 2 days, 7:18:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5689, loss_cls: 6.6709, loss: 6.6709 2023-12-31 08:22:06,611 - pyskl - INFO - Epoch [67][1900/3746] lr: 5.885e-02, eta: 2 days, 7:17:04, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5737, loss_cls: 6.6608, loss: 6.6608 2023-12-31 08:23:07,669 - pyskl - INFO - Epoch [67][2000/3746] lr: 5.882e-02, eta: 2 days, 7:15:57, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3114, top5_acc: 0.5698, loss_cls: 6.6674, loss: 6.6674 2023-12-31 08:24:08,030 - pyskl - INFO - Epoch [67][2100/3746] lr: 5.879e-02, eta: 2 days, 7:14:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3039, top5_acc: 0.5613, loss_cls: 6.6842, loss: 6.6842 2023-12-31 08:25:09,320 - pyskl - INFO - Epoch [67][2200/3746] lr: 5.876e-02, eta: 2 days, 7:13:43, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3109, top5_acc: 0.5689, loss_cls: 6.6499, loss: 6.6499 2023-12-31 08:26:10,177 - pyskl - INFO - Epoch [67][2300/3746] lr: 5.874e-02, eta: 2 days, 7:12:36, time: 0.609, data_time: 0.001, memory: 16177, top1_acc: 0.3116, top5_acc: 0.5589, loss_cls: 6.7179, loss: 6.7179 2023-12-31 08:27:11,217 - pyskl - INFO - Epoch [67][2400/3746] lr: 5.871e-02, eta: 2 days, 7:11:29, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5741, loss_cls: 6.6547, loss: 6.6547 2023-12-31 08:28:11,190 - pyskl - INFO - Epoch [67][2500/3746] lr: 5.868e-02, eta: 2 days, 7:10:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5587, loss_cls: 6.6932, loss: 6.6932 2023-12-31 08:29:11,053 - pyskl - INFO - Epoch [67][2600/3746] lr: 5.865e-02, eta: 2 days, 7:09:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3017, top5_acc: 0.5536, loss_cls: 6.7012, loss: 6.7012 2023-12-31 08:30:10,889 - pyskl - INFO - Epoch [67][2700/3746] lr: 5.863e-02, eta: 2 days, 7:08:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5695, loss_cls: 6.6834, loss: 6.6834 2023-12-31 08:31:11,038 - pyskl - INFO - Epoch [67][2800/3746] lr: 5.860e-02, eta: 2 days, 7:06:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5583, loss_cls: 6.7163, loss: 6.7163 2023-12-31 08:32:11,468 - pyskl - INFO - Epoch [67][2900/3746] lr: 5.857e-02, eta: 2 days, 7:05:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5487, loss_cls: 6.7611, loss: 6.7611 2023-12-31 08:33:11,581 - pyskl - INFO - Epoch [67][3000/3746] lr: 5.854e-02, eta: 2 days, 7:04:41, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5513, loss_cls: 6.7299, loss: 6.7299 2023-12-31 08:34:11,802 - pyskl - INFO - Epoch [67][3100/3746] lr: 5.852e-02, eta: 2 days, 7:03:33, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2986, top5_acc: 0.5566, loss_cls: 6.7285, loss: 6.7285 2023-12-31 08:35:12,050 - pyskl - INFO - Epoch [67][3200/3746] lr: 5.849e-02, eta: 2 days, 7:02:25, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3122, top5_acc: 0.5683, loss_cls: 6.6707, loss: 6.6707 2023-12-31 08:36:12,241 - pyskl - INFO - Epoch [67][3300/3746] lr: 5.846e-02, eta: 2 days, 7:01:17, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3200, top5_acc: 0.5748, loss_cls: 6.6462, loss: 6.6462 2023-12-31 08:37:12,394 - pyskl - INFO - Epoch [67][3400/3746] lr: 5.843e-02, eta: 2 days, 7:00:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5663, loss_cls: 6.6913, loss: 6.6913 2023-12-31 08:38:12,843 - pyskl - INFO - Epoch [67][3500/3746] lr: 5.841e-02, eta: 2 days, 6:59:02, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3105, top5_acc: 0.5722, loss_cls: 6.6556, loss: 6.6556 2023-12-31 08:39:14,133 - pyskl - INFO - Epoch [67][3600/3746] lr: 5.838e-02, eta: 2 days, 6:57:55, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5667, loss_cls: 6.7003, loss: 6.7003 2023-12-31 08:40:14,976 - pyskl - INFO - Epoch [67][3700/3746] lr: 5.835e-02, eta: 2 days, 6:56:48, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5600, loss_cls: 6.7238, loss: 6.7238 2023-12-31 08:40:45,964 - pyskl - INFO - Saving checkpoint at 67 epochs 2023-12-31 08:42:47,907 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 08:42:48,957 - pyskl - INFO - top1_acc 0.2433 top5_acc 0.4854 2023-12-31 08:42:48,957 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 08:42:49,000 - pyskl - INFO - mean_acc 0.2430 2023-12-31 08:42:49,013 - pyskl - INFO - Epoch(val) [67][309] top1_acc: 0.2433, top5_acc: 0.4854, mean_class_accuracy: 0.2430 2023-12-31 08:46:10,877 - pyskl - INFO - Epoch [68][100/3746] lr: 5.831e-02, eta: 2 days, 6:57:30, time: 2.019, data_time: 1.424, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5866, loss_cls: 6.5781, loss: 6.5781 2023-12-31 08:47:10,975 - pyskl - INFO - Epoch [68][200/3746] lr: 5.828e-02, eta: 2 days, 6:56:22, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3106, top5_acc: 0.5745, loss_cls: 6.6427, loss: 6.6427 2023-12-31 08:48:10,903 - pyskl - INFO - Epoch [68][300/3746] lr: 5.826e-02, eta: 2 days, 6:55:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5720, loss_cls: 6.6247, loss: 6.6247 2023-12-31 08:49:11,035 - pyskl - INFO - Epoch [68][400/3746] lr: 5.823e-02, eta: 2 days, 6:54:06, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5556, loss_cls: 6.7057, loss: 6.7057 2023-12-31 08:50:11,357 - pyskl - INFO - Epoch [68][500/3746] lr: 5.820e-02, eta: 2 days, 6:52:58, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3144, top5_acc: 0.5680, loss_cls: 6.6540, loss: 6.6540 2023-12-31 08:51:11,635 - pyskl - INFO - Epoch [68][600/3746] lr: 5.817e-02, eta: 2 days, 6:51:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3070, top5_acc: 0.5669, loss_cls: 6.6771, loss: 6.6771 2023-12-31 08:52:11,854 - pyskl - INFO - Epoch [68][700/3746] lr: 5.815e-02, eta: 2 days, 6:50:42, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3166, top5_acc: 0.5675, loss_cls: 6.6527, loss: 6.6527 2023-12-31 08:53:12,612 - pyskl - INFO - Epoch [68][800/3746] lr: 5.812e-02, eta: 2 days, 6:49:35, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3228, top5_acc: 0.5755, loss_cls: 6.6374, loss: 6.6374 2023-12-31 08:54:12,885 - pyskl - INFO - Epoch [68][900/3746] lr: 5.809e-02, eta: 2 days, 6:48:27, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5573, loss_cls: 6.7019, loss: 6.7019 2023-12-31 08:55:13,687 - pyskl - INFO - Epoch [68][1000/3746] lr: 5.806e-02, eta: 2 days, 6:47:20, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3130, top5_acc: 0.5648, loss_cls: 6.6779, loss: 6.6779 2023-12-31 08:56:15,197 - pyskl - INFO - Epoch [68][1100/3746] lr: 5.804e-02, eta: 2 days, 6:46:14, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3078, top5_acc: 0.5619, loss_cls: 6.6932, loss: 6.6932 2023-12-31 08:57:15,585 - pyskl - INFO - Epoch [68][1200/3746] lr: 5.801e-02, eta: 2 days, 6:45:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5555, loss_cls: 6.7212, loss: 6.7212 2023-12-31 08:58:16,071 - pyskl - INFO - Epoch [68][1300/3746] lr: 5.798e-02, eta: 2 days, 6:43:59, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5609, loss_cls: 6.7011, loss: 6.7011 2023-12-31 08:59:16,308 - pyskl - INFO - Epoch [68][1400/3746] lr: 5.795e-02, eta: 2 days, 6:42:51, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5720, loss_cls: 6.6429, loss: 6.6429 2023-12-31 09:00:16,463 - pyskl - INFO - Epoch [68][1500/3746] lr: 5.792e-02, eta: 2 days, 6:41:43, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5589, loss_cls: 6.7119, loss: 6.7119 2023-12-31 09:01:16,454 - pyskl - INFO - Epoch [68][1600/3746] lr: 5.790e-02, eta: 2 days, 6:40:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5525, loss_cls: 6.7358, loss: 6.7358 2023-12-31 09:02:16,501 - pyskl - INFO - Epoch [68][1700/3746] lr: 5.787e-02, eta: 2 days, 6:39:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3097, top5_acc: 0.5720, loss_cls: 6.6447, loss: 6.6447 2023-12-31 09:03:16,417 - pyskl - INFO - Epoch [68][1800/3746] lr: 5.784e-02, eta: 2 days, 6:38:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3131, top5_acc: 0.5637, loss_cls: 6.6569, loss: 6.6569 2023-12-31 09:04:17,183 - pyskl - INFO - Epoch [68][1900/3746] lr: 5.781e-02, eta: 2 days, 6:37:12, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3156, top5_acc: 0.5705, loss_cls: 6.6411, loss: 6.6411 2023-12-31 09:05:17,925 - pyskl - INFO - Epoch [68][2000/3746] lr: 5.779e-02, eta: 2 days, 6:36:04, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5623, loss_cls: 6.6588, loss: 6.6588 2023-12-31 09:06:18,036 - pyskl - INFO - Epoch [68][2100/3746] lr: 5.776e-02, eta: 2 days, 6:34:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3091, top5_acc: 0.5628, loss_cls: 6.6575, loss: 6.6575 2023-12-31 09:07:18,481 - pyskl - INFO - Epoch [68][2200/3746] lr: 5.773e-02, eta: 2 days, 6:33:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5713, loss_cls: 6.6590, loss: 6.6590 2023-12-31 09:08:19,297 - pyskl - INFO - Epoch [68][2300/3746] lr: 5.770e-02, eta: 2 days, 6:32:42, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5636, loss_cls: 6.6943, loss: 6.6943 2023-12-31 09:09:19,347 - pyskl - INFO - Epoch [68][2400/3746] lr: 5.768e-02, eta: 2 days, 6:31:34, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3086, top5_acc: 0.5711, loss_cls: 6.6685, loss: 6.6685 2023-12-31 09:10:19,389 - pyskl - INFO - Epoch [68][2500/3746] lr: 5.765e-02, eta: 2 days, 6:30:26, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5580, loss_cls: 6.7066, loss: 6.7066 2023-12-31 09:11:19,986 - pyskl - INFO - Epoch [68][2600/3746] lr: 5.762e-02, eta: 2 days, 6:29:19, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3123, top5_acc: 0.5663, loss_cls: 6.6862, loss: 6.6862 2023-12-31 09:12:20,023 - pyskl - INFO - Epoch [68][2700/3746] lr: 5.759e-02, eta: 2 days, 6:28:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5617, loss_cls: 6.6932, loss: 6.6932 2023-12-31 09:13:20,072 - pyskl - INFO - Epoch [68][2800/3746] lr: 5.757e-02, eta: 2 days, 6:27:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5633, loss_cls: 6.7144, loss: 6.7144 2023-12-31 09:14:20,219 - pyskl - INFO - Epoch [68][2900/3746] lr: 5.754e-02, eta: 2 days, 6:25:55, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5836, loss_cls: 6.6116, loss: 6.6116 2023-12-31 09:15:21,098 - pyskl - INFO - Epoch [68][3000/3746] lr: 5.751e-02, eta: 2 days, 6:24:48, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5458, loss_cls: 6.7521, loss: 6.7521 2023-12-31 09:16:21,573 - pyskl - INFO - Epoch [68][3100/3746] lr: 5.748e-02, eta: 2 days, 6:23:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3052, top5_acc: 0.5727, loss_cls: 6.6709, loss: 6.6709 2023-12-31 09:17:21,904 - pyskl - INFO - Epoch [68][3200/3746] lr: 5.746e-02, eta: 2 days, 6:22:33, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3034, top5_acc: 0.5697, loss_cls: 6.6842, loss: 6.6842 2023-12-31 09:18:22,394 - pyskl - INFO - Epoch [68][3300/3746] lr: 5.743e-02, eta: 2 days, 6:21:26, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5630, loss_cls: 6.6938, loss: 6.6938 2023-12-31 09:19:22,482 - pyskl - INFO - Epoch [68][3400/3746] lr: 5.740e-02, eta: 2 days, 6:20:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5603, loss_cls: 6.6908, loss: 6.6908 2023-12-31 09:20:22,665 - pyskl - INFO - Epoch [68][3500/3746] lr: 5.737e-02, eta: 2 days, 6:19:10, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3061, top5_acc: 0.5686, loss_cls: 6.6431, loss: 6.6431 2023-12-31 09:21:23,275 - pyskl - INFO - Epoch [68][3600/3746] lr: 5.734e-02, eta: 2 days, 6:18:03, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5672, loss_cls: 6.6701, loss: 6.6701 2023-12-31 09:22:24,356 - pyskl - INFO - Epoch [68][3700/3746] lr: 5.732e-02, eta: 2 days, 6:16:56, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3086, top5_acc: 0.5575, loss_cls: 6.7008, loss: 6.7008 2023-12-31 09:22:55,741 - pyskl - INFO - Saving checkpoint at 68 epochs 2023-12-31 09:25:01,443 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 09:25:02,248 - pyskl - INFO - top1_acc 0.2544 top5_acc 0.4921 2023-12-31 09:25:02,249 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 09:25:02,280 - pyskl - INFO - mean_acc 0.2541 2023-12-31 09:25:02,286 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_64.pth was removed 2023-12-31 09:25:02,505 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_68.pth. 2023-12-31 09:25:02,506 - pyskl - INFO - Best top1_acc is 0.2544 at 68 epoch. 2023-12-31 09:25:02,518 - pyskl - INFO - Epoch(val) [68][309] top1_acc: 0.2544, top5_acc: 0.4921, mean_class_accuracy: 0.2541 2023-12-31 09:28:24,606 - pyskl - INFO - Epoch [69][100/3746] lr: 5.728e-02, eta: 2 days, 6:17:35, time: 2.021, data_time: 1.429, memory: 16177, top1_acc: 0.3361, top5_acc: 0.5817, loss_cls: 6.5515, loss: 6.5515 2023-12-31 09:29:24,241 - pyskl - INFO - Epoch [69][200/3746] lr: 5.725e-02, eta: 2 days, 6:16:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5767, loss_cls: 6.6398, loss: 6.6398 2023-12-31 09:30:24,456 - pyskl - INFO - Epoch [69][300/3746] lr: 5.722e-02, eta: 2 days, 6:15:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5767, loss_cls: 6.6302, loss: 6.6302 2023-12-31 09:31:25,114 - pyskl - INFO - Epoch [69][400/3746] lr: 5.719e-02, eta: 2 days, 6:14:11, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3173, top5_acc: 0.5733, loss_cls: 6.6240, loss: 6.6240 2023-12-31 09:32:25,756 - pyskl - INFO - Epoch [69][500/3746] lr: 5.717e-02, eta: 2 days, 6:13:04, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5706, loss_cls: 6.6402, loss: 6.6402 2023-12-31 09:33:26,280 - pyskl - INFO - Epoch [69][600/3746] lr: 5.714e-02, eta: 2 days, 6:11:57, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5753, loss_cls: 6.6352, loss: 6.6352 2023-12-31 09:34:26,453 - pyskl - INFO - Epoch [69][700/3746] lr: 5.711e-02, eta: 2 days, 6:10:49, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5714, loss_cls: 6.6523, loss: 6.6523 2023-12-31 09:35:26,844 - pyskl - INFO - Epoch [69][800/3746] lr: 5.708e-02, eta: 2 days, 6:09:41, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5713, loss_cls: 6.6784, loss: 6.6784 2023-12-31 09:36:27,867 - pyskl - INFO - Epoch [69][900/3746] lr: 5.706e-02, eta: 2 days, 6:08:34, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5634, loss_cls: 6.6827, loss: 6.6827 2023-12-31 09:37:29,169 - pyskl - INFO - Epoch [69][1000/3746] lr: 5.703e-02, eta: 2 days, 6:07:28, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5527, loss_cls: 6.7363, loss: 6.7363 2023-12-31 09:38:30,142 - pyskl - INFO - Epoch [69][1100/3746] lr: 5.700e-02, eta: 2 days, 6:06:21, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3169, top5_acc: 0.5763, loss_cls: 6.6436, loss: 6.6436 2023-12-31 09:39:30,507 - pyskl - INFO - Epoch [69][1200/3746] lr: 5.697e-02, eta: 2 days, 6:05:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3102, top5_acc: 0.5653, loss_cls: 6.6494, loss: 6.6494 2023-12-31 09:40:31,127 - pyskl - INFO - Epoch [69][1300/3746] lr: 5.694e-02, eta: 2 days, 6:04:06, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3111, top5_acc: 0.5727, loss_cls: 6.6463, loss: 6.6463 2023-12-31 09:41:31,660 - pyskl - INFO - Epoch [69][1400/3746] lr: 5.692e-02, eta: 2 days, 6:02:59, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5644, loss_cls: 6.6789, loss: 6.6789 2023-12-31 09:42:31,959 - pyskl - INFO - Epoch [69][1500/3746] lr: 5.689e-02, eta: 2 days, 6:01:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3166, top5_acc: 0.5708, loss_cls: 6.6303, loss: 6.6303 2023-12-31 09:43:32,219 - pyskl - INFO - Epoch [69][1600/3746] lr: 5.686e-02, eta: 2 days, 6:00:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5667, loss_cls: 6.6773, loss: 6.6773 2023-12-31 09:44:33,238 - pyskl - INFO - Epoch [69][1700/3746] lr: 5.683e-02, eta: 2 days, 5:59:37, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5545, loss_cls: 6.7108, loss: 6.7108 2023-12-31 09:45:33,797 - pyskl - INFO - Epoch [69][1800/3746] lr: 5.681e-02, eta: 2 days, 5:58:30, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5770, loss_cls: 6.6631, loss: 6.6631 2023-12-31 09:46:34,946 - pyskl - INFO - Epoch [69][1900/3746] lr: 5.678e-02, eta: 2 days, 5:57:23, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5669, loss_cls: 6.6896, loss: 6.6896 2023-12-31 09:47:36,425 - pyskl - INFO - Epoch [69][2000/3746] lr: 5.675e-02, eta: 2 days, 5:56:17, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3047, top5_acc: 0.5497, loss_cls: 6.7437, loss: 6.7437 2023-12-31 09:48:37,165 - pyskl - INFO - Epoch [69][2100/3746] lr: 5.672e-02, eta: 2 days, 5:55:10, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5697, loss_cls: 6.6669, loss: 6.6669 2023-12-31 09:49:37,812 - pyskl - INFO - Epoch [69][2200/3746] lr: 5.670e-02, eta: 2 days, 5:54:03, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5605, loss_cls: 6.6965, loss: 6.6965 2023-12-31 09:50:38,725 - pyskl - INFO - Epoch [69][2300/3746] lr: 5.667e-02, eta: 2 days, 5:52:56, time: 0.609, data_time: 0.001, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5684, loss_cls: 6.6654, loss: 6.6654 2023-12-31 09:51:39,431 - pyskl - INFO - Epoch [69][2400/3746] lr: 5.664e-02, eta: 2 days, 5:51:49, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3131, top5_acc: 0.5667, loss_cls: 6.6848, loss: 6.6848 2023-12-31 09:52:39,625 - pyskl - INFO - Epoch [69][2500/3746] lr: 5.661e-02, eta: 2 days, 5:50:41, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5639, loss_cls: 6.6832, loss: 6.6832 2023-12-31 09:53:39,540 - pyskl - INFO - Epoch [69][2600/3746] lr: 5.658e-02, eta: 2 days, 5:49:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5809, loss_cls: 6.6129, loss: 6.6129 2023-12-31 09:54:39,546 - pyskl - INFO - Epoch [69][2700/3746] lr: 5.656e-02, eta: 2 days, 5:48:25, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5717, loss_cls: 6.6530, loss: 6.6530 2023-12-31 09:55:39,495 - pyskl - INFO - Epoch [69][2800/3746] lr: 5.653e-02, eta: 2 days, 5:47:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3145, top5_acc: 0.5700, loss_cls: 6.6527, loss: 6.6527 2023-12-31 09:56:39,842 - pyskl - INFO - Epoch [69][2900/3746] lr: 5.650e-02, eta: 2 days, 5:46:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3142, top5_acc: 0.5725, loss_cls: 6.6424, loss: 6.6424 2023-12-31 09:57:40,635 - pyskl - INFO - Epoch [69][3000/3746] lr: 5.647e-02, eta: 2 days, 5:45:03, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5608, loss_cls: 6.7035, loss: 6.7035 2023-12-31 09:58:40,917 - pyskl - INFO - Epoch [69][3100/3746] lr: 5.645e-02, eta: 2 days, 5:43:55, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3081, top5_acc: 0.5650, loss_cls: 6.6868, loss: 6.6868 2023-12-31 09:59:41,284 - pyskl - INFO - Epoch [69][3200/3746] lr: 5.642e-02, eta: 2 days, 5:42:48, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3109, top5_acc: 0.5644, loss_cls: 6.6602, loss: 6.6602 2023-12-31 10:00:41,949 - pyskl - INFO - Epoch [69][3300/3746] lr: 5.639e-02, eta: 2 days, 5:41:41, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5758, loss_cls: 6.6396, loss: 6.6396 2023-12-31 10:01:42,435 - pyskl - INFO - Epoch [69][3400/3746] lr: 5.636e-02, eta: 2 days, 5:40:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5639, loss_cls: 6.7192, loss: 6.7192 2023-12-31 10:02:42,690 - pyskl - INFO - Epoch [69][3500/3746] lr: 5.634e-02, eta: 2 days, 5:39:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5681, loss_cls: 6.6669, loss: 6.6669 2023-12-31 10:03:43,077 - pyskl - INFO - Epoch [69][3600/3746] lr: 5.631e-02, eta: 2 days, 5:38:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5542, loss_cls: 6.7149, loss: 6.7149 2023-12-31 10:04:42,989 - pyskl - INFO - Epoch [69][3700/3746] lr: 5.628e-02, eta: 2 days, 5:37:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3116, top5_acc: 0.5709, loss_cls: 6.6599, loss: 6.6599 2023-12-31 10:05:13,297 - pyskl - INFO - Saving checkpoint at 69 epochs 2023-12-31 10:07:14,480 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 10:07:15,506 - pyskl - INFO - top1_acc 0.2421 top5_acc 0.4986 2023-12-31 10:07:15,506 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 10:07:15,543 - pyskl - INFO - mean_acc 0.2417 2023-12-31 10:07:15,552 - pyskl - INFO - Epoch(val) [69][309] top1_acc: 0.2421, top5_acc: 0.4986, mean_class_accuracy: 0.2417 2023-12-31 10:10:38,330 - pyskl - INFO - Epoch [70][100/3746] lr: 5.624e-02, eta: 2 days, 5:37:47, time: 2.028, data_time: 1.434, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5789, loss_cls: 6.5955, loss: 6.5955 2023-12-31 10:11:37,891 - pyskl - INFO - Epoch [70][200/3746] lr: 5.621e-02, eta: 2 days, 5:36:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3123, top5_acc: 0.5728, loss_cls: 6.6341, loss: 6.6341 2023-12-31 10:12:38,494 - pyskl - INFO - Epoch [70][300/3746] lr: 5.618e-02, eta: 2 days, 5:35:31, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3161, top5_acc: 0.5830, loss_cls: 6.6027, loss: 6.6027 2023-12-31 10:13:39,443 - pyskl - INFO - Epoch [70][400/3746] lr: 5.616e-02, eta: 2 days, 5:34:24, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3152, top5_acc: 0.5734, loss_cls: 6.6382, loss: 6.6382 2023-12-31 10:14:40,177 - pyskl - INFO - Epoch [70][500/3746] lr: 5.613e-02, eta: 2 days, 5:33:17, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5805, loss_cls: 6.6305, loss: 6.6305 2023-12-31 10:15:40,338 - pyskl - INFO - Epoch [70][600/3746] lr: 5.610e-02, eta: 2 days, 5:32:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5647, loss_cls: 6.6661, loss: 6.6661 2023-12-31 10:16:41,061 - pyskl - INFO - Epoch [70][700/3746] lr: 5.607e-02, eta: 2 days, 5:31:02, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5800, loss_cls: 6.6170, loss: 6.6170 2023-12-31 10:17:41,986 - pyskl - INFO - Epoch [70][800/3746] lr: 5.605e-02, eta: 2 days, 5:29:55, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5627, loss_cls: 6.6785, loss: 6.6785 2023-12-31 10:18:42,785 - pyskl - INFO - Epoch [70][900/3746] lr: 5.602e-02, eta: 2 days, 5:28:48, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3186, top5_acc: 0.5642, loss_cls: 6.6473, loss: 6.6473 2023-12-31 10:19:45,140 - pyskl - INFO - Epoch [70][1000/3746] lr: 5.599e-02, eta: 2 days, 5:27:43, time: 0.624, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5747, loss_cls: 6.6639, loss: 6.6639 2023-12-31 10:20:45,894 - pyskl - INFO - Epoch [70][1100/3746] lr: 5.596e-02, eta: 2 days, 5:26:36, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3264, top5_acc: 0.5797, loss_cls: 6.6097, loss: 6.6097 2023-12-31 10:21:46,515 - pyskl - INFO - Epoch [70][1200/3746] lr: 5.593e-02, eta: 2 days, 5:25:29, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5687, loss_cls: 6.6682, loss: 6.6682 2023-12-31 10:22:47,085 - pyskl - INFO - Epoch [70][1300/3746] lr: 5.591e-02, eta: 2 days, 5:24:22, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5637, loss_cls: 6.6591, loss: 6.6591 2023-12-31 10:23:47,590 - pyskl - INFO - Epoch [70][1400/3746] lr: 5.588e-02, eta: 2 days, 5:23:15, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5658, loss_cls: 6.6838, loss: 6.6838 2023-12-31 10:24:47,497 - pyskl - INFO - Epoch [70][1500/3746] lr: 5.585e-02, eta: 2 days, 5:22:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3005, top5_acc: 0.5584, loss_cls: 6.7175, loss: 6.7175 2023-12-31 10:25:47,794 - pyskl - INFO - Epoch [70][1600/3746] lr: 5.582e-02, eta: 2 days, 5:20:59, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3086, top5_acc: 0.5542, loss_cls: 6.6652, loss: 6.6652 2023-12-31 10:26:48,041 - pyskl - INFO - Epoch [70][1700/3746] lr: 5.580e-02, eta: 2 days, 5:19:52, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3058, top5_acc: 0.5611, loss_cls: 6.7022, loss: 6.7022 2023-12-31 10:27:48,400 - pyskl - INFO - Epoch [70][1800/3746] lr: 5.577e-02, eta: 2 days, 5:18:44, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3050, top5_acc: 0.5594, loss_cls: 6.7272, loss: 6.7272 2023-12-31 10:28:48,933 - pyskl - INFO - Epoch [70][1900/3746] lr: 5.574e-02, eta: 2 days, 5:17:37, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3158, top5_acc: 0.5691, loss_cls: 6.6590, loss: 6.6590 2023-12-31 10:29:49,581 - pyskl - INFO - Epoch [70][2000/3746] lr: 5.571e-02, eta: 2 days, 5:16:30, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5667, loss_cls: 6.6442, loss: 6.6442 2023-12-31 10:30:50,464 - pyskl - INFO - Epoch [70][2100/3746] lr: 5.568e-02, eta: 2 days, 5:15:23, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5703, loss_cls: 6.6253, loss: 6.6253 2023-12-31 10:31:51,101 - pyskl - INFO - Epoch [70][2200/3746] lr: 5.566e-02, eta: 2 days, 5:14:16, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3080, top5_acc: 0.5606, loss_cls: 6.6840, loss: 6.6840 2023-12-31 10:32:51,814 - pyskl - INFO - Epoch [70][2300/3746] lr: 5.563e-02, eta: 2 days, 5:13:09, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3084, top5_acc: 0.5689, loss_cls: 6.6676, loss: 6.6676 2023-12-31 10:33:51,755 - pyskl - INFO - Epoch [70][2400/3746] lr: 5.560e-02, eta: 2 days, 5:12:01, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3145, top5_acc: 0.5648, loss_cls: 6.6667, loss: 6.6667 2023-12-31 10:34:51,984 - pyskl - INFO - Epoch [70][2500/3746] lr: 5.557e-02, eta: 2 days, 5:10:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5686, loss_cls: 6.6858, loss: 6.6858 2023-12-31 10:35:52,069 - pyskl - INFO - Epoch [70][2600/3746] lr: 5.555e-02, eta: 2 days, 5:09:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5734, loss_cls: 6.6228, loss: 6.6228 2023-12-31 10:36:52,359 - pyskl - INFO - Epoch [70][2700/3746] lr: 5.552e-02, eta: 2 days, 5:08:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5608, loss_cls: 6.6664, loss: 6.6664 2023-12-31 10:37:52,412 - pyskl - INFO - Epoch [70][2800/3746] lr: 5.549e-02, eta: 2 days, 5:07:31, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3047, top5_acc: 0.5631, loss_cls: 6.6811, loss: 6.6811 2023-12-31 10:38:52,413 - pyskl - INFO - Epoch [70][2900/3746] lr: 5.546e-02, eta: 2 days, 5:06:23, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5686, loss_cls: 6.6793, loss: 6.6793 2023-12-31 10:39:52,789 - pyskl - INFO - Epoch [70][3000/3746] lr: 5.543e-02, eta: 2 days, 5:05:16, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3191, top5_acc: 0.5702, loss_cls: 6.6711, loss: 6.6711 2023-12-31 10:40:53,267 - pyskl - INFO - Epoch [70][3100/3746] lr: 5.541e-02, eta: 2 days, 5:04:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5655, loss_cls: 6.7164, loss: 6.7164 2023-12-31 10:41:53,954 - pyskl - INFO - Epoch [70][3200/3746] lr: 5.538e-02, eta: 2 days, 5:03:01, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3169, top5_acc: 0.5700, loss_cls: 6.6606, loss: 6.6606 2023-12-31 10:42:54,923 - pyskl - INFO - Epoch [70][3300/3746] lr: 5.535e-02, eta: 2 days, 5:01:55, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3245, top5_acc: 0.5816, loss_cls: 6.6129, loss: 6.6129 2023-12-31 10:43:55,625 - pyskl - INFO - Epoch [70][3400/3746] lr: 5.532e-02, eta: 2 days, 5:00:48, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3105, top5_acc: 0.5744, loss_cls: 6.6434, loss: 6.6434 2023-12-31 10:44:56,106 - pyskl - INFO - Epoch [70][3500/3746] lr: 5.530e-02, eta: 2 days, 4:59:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3109, top5_acc: 0.5706, loss_cls: 6.6447, loss: 6.6447 2023-12-31 10:45:56,520 - pyskl - INFO - Epoch [70][3600/3746] lr: 5.527e-02, eta: 2 days, 4:58:33, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3220, top5_acc: 0.5700, loss_cls: 6.6450, loss: 6.6450 2023-12-31 10:46:56,856 - pyskl - INFO - Epoch [70][3700/3746] lr: 5.524e-02, eta: 2 days, 4:57:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3091, top5_acc: 0.5670, loss_cls: 6.6582, loss: 6.6582 2023-12-31 10:47:27,552 - pyskl - INFO - Saving checkpoint at 70 epochs 2023-12-31 10:49:28,306 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 10:49:29,386 - pyskl - INFO - top1_acc 0.2576 top5_acc 0.5026 2023-12-31 10:49:29,386 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 10:49:29,423 - pyskl - INFO - mean_acc 0.2572 2023-12-31 10:49:29,430 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_68.pth was removed 2023-12-31 10:49:29,718 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_70.pth. 2023-12-31 10:49:29,718 - pyskl - INFO - Best top1_acc is 0.2576 at 70 epoch. 2023-12-31 10:49:29,728 - pyskl - INFO - Epoch(val) [70][309] top1_acc: 0.2576, top5_acc: 0.5026, mean_class_accuracy: 0.2572 2023-12-31 10:52:50,149 - pyskl - INFO - Epoch [71][100/3746] lr: 5.520e-02, eta: 2 days, 4:57:56, time: 2.004, data_time: 1.411, memory: 16177, top1_acc: 0.3153, top5_acc: 0.5706, loss_cls: 6.6223, loss: 6.6223 2023-12-31 10:53:49,517 - pyskl - INFO - Epoch [71][200/3746] lr: 5.517e-02, eta: 2 days, 4:56:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3089, top5_acc: 0.5777, loss_cls: 6.6184, loss: 6.6184 2023-12-31 10:54:49,367 - pyskl - INFO - Epoch [71][300/3746] lr: 5.514e-02, eta: 2 days, 4:55:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5666, loss_cls: 6.6527, loss: 6.6527 2023-12-31 10:55:49,695 - pyskl - INFO - Epoch [71][400/3746] lr: 5.512e-02, eta: 2 days, 4:54:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3109, top5_acc: 0.5727, loss_cls: 6.6448, loss: 6.6448 2023-12-31 10:56:49,784 - pyskl - INFO - Epoch [71][500/3746] lr: 5.509e-02, eta: 2 days, 4:53:24, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3259, top5_acc: 0.5661, loss_cls: 6.6390, loss: 6.6390 2023-12-31 10:57:50,014 - pyskl - INFO - Epoch [71][600/3746] lr: 5.506e-02, eta: 2 days, 4:52:17, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5666, loss_cls: 6.6651, loss: 6.6651 2023-12-31 10:58:49,972 - pyskl - INFO - Epoch [71][700/3746] lr: 5.503e-02, eta: 2 days, 4:51:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3081, top5_acc: 0.5716, loss_cls: 6.6536, loss: 6.6536 2023-12-31 10:59:50,476 - pyskl - INFO - Epoch [71][800/3746] lr: 5.500e-02, eta: 2 days, 4:50:02, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5675, loss_cls: 6.6501, loss: 6.6501 2023-12-31 11:00:51,550 - pyskl - INFO - Epoch [71][900/3746] lr: 5.498e-02, eta: 2 days, 4:48:55, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5792, loss_cls: 6.6228, loss: 6.6228 2023-12-31 11:01:52,303 - pyskl - INFO - Epoch [71][1000/3746] lr: 5.495e-02, eta: 2 days, 4:47:48, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3230, top5_acc: 0.5769, loss_cls: 6.5890, loss: 6.5890 2023-12-31 11:02:52,595 - pyskl - INFO - Epoch [71][1100/3746] lr: 5.492e-02, eta: 2 days, 4:46:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3147, top5_acc: 0.5705, loss_cls: 6.6491, loss: 6.6491 2023-12-31 11:03:52,967 - pyskl - INFO - Epoch [71][1200/3746] lr: 5.489e-02, eta: 2 days, 4:45:34, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3131, top5_acc: 0.5748, loss_cls: 6.6327, loss: 6.6327 2023-12-31 11:04:53,342 - pyskl - INFO - Epoch [71][1300/3746] lr: 5.487e-02, eta: 2 days, 4:44:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3095, top5_acc: 0.5672, loss_cls: 6.6846, loss: 6.6846 2023-12-31 11:05:53,503 - pyskl - INFO - Epoch [71][1400/3746] lr: 5.484e-02, eta: 2 days, 4:43:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3159, top5_acc: 0.5836, loss_cls: 6.6289, loss: 6.6289 2023-12-31 11:06:53,617 - pyskl - INFO - Epoch [71][1500/3746] lr: 5.481e-02, eta: 2 days, 4:42:11, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5650, loss_cls: 6.6287, loss: 6.6287 2023-12-31 11:07:53,703 - pyskl - INFO - Epoch [71][1600/3746] lr: 5.478e-02, eta: 2 days, 4:41:03, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5786, loss_cls: 6.6300, loss: 6.6300 2023-12-31 11:08:53,812 - pyskl - INFO - Epoch [71][1700/3746] lr: 5.475e-02, eta: 2 days, 4:39:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3080, top5_acc: 0.5731, loss_cls: 6.6618, loss: 6.6618 2023-12-31 11:09:54,363 - pyskl - INFO - Epoch [71][1800/3746] lr: 5.473e-02, eta: 2 days, 4:38:49, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3111, top5_acc: 0.5636, loss_cls: 6.6896, loss: 6.6896 2023-12-31 11:10:55,616 - pyskl - INFO - Epoch [71][1900/3746] lr: 5.470e-02, eta: 2 days, 4:37:42, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3180, top5_acc: 0.5761, loss_cls: 6.6366, loss: 6.6366 2023-12-31 11:11:56,116 - pyskl - INFO - Epoch [71][2000/3746] lr: 5.467e-02, eta: 2 days, 4:36:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3197, top5_acc: 0.5731, loss_cls: 6.6388, loss: 6.6388 2023-12-31 11:12:56,993 - pyskl - INFO - Epoch [71][2100/3746] lr: 5.464e-02, eta: 2 days, 4:35:29, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3122, top5_acc: 0.5634, loss_cls: 6.6695, loss: 6.6695 2023-12-31 11:13:57,499 - pyskl - INFO - Epoch [71][2200/3746] lr: 5.461e-02, eta: 2 days, 4:34:21, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5756, loss_cls: 6.6335, loss: 6.6335 2023-12-31 11:14:58,226 - pyskl - INFO - Epoch [71][2300/3746] lr: 5.459e-02, eta: 2 days, 4:33:15, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5680, loss_cls: 6.6809, loss: 6.6809 2023-12-31 11:15:57,980 - pyskl - INFO - Epoch [71][2400/3746] lr: 5.456e-02, eta: 2 days, 4:32:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3236, top5_acc: 0.5695, loss_cls: 6.6231, loss: 6.6231 2023-12-31 11:16:58,202 - pyskl - INFO - Epoch [71][2500/3746] lr: 5.453e-02, eta: 2 days, 4:30:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3161, top5_acc: 0.5731, loss_cls: 6.6339, loss: 6.6339 2023-12-31 11:17:58,772 - pyskl - INFO - Epoch [71][2600/3746] lr: 5.450e-02, eta: 2 days, 4:29:52, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5791, loss_cls: 6.6344, loss: 6.6344 2023-12-31 11:18:58,982 - pyskl - INFO - Epoch [71][2700/3746] lr: 5.448e-02, eta: 2 days, 4:28:45, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3097, top5_acc: 0.5675, loss_cls: 6.6731, loss: 6.6731 2023-12-31 11:19:59,312 - pyskl - INFO - Epoch [71][2800/3746] lr: 5.445e-02, eta: 2 days, 4:27:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5675, loss_cls: 6.6835, loss: 6.6835 2023-12-31 11:20:59,662 - pyskl - INFO - Epoch [71][2900/3746] lr: 5.442e-02, eta: 2 days, 4:26:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3136, top5_acc: 0.5695, loss_cls: 6.6562, loss: 6.6562 2023-12-31 11:21:59,905 - pyskl - INFO - Epoch [71][3000/3746] lr: 5.439e-02, eta: 2 days, 4:25:23, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3261, top5_acc: 0.5720, loss_cls: 6.6203, loss: 6.6203 2023-12-31 11:23:00,193 - pyskl - INFO - Epoch [71][3100/3746] lr: 5.436e-02, eta: 2 days, 4:24:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3131, top5_acc: 0.5719, loss_cls: 6.6461, loss: 6.6461 2023-12-31 11:24:00,685 - pyskl - INFO - Epoch [71][3200/3746] lr: 5.434e-02, eta: 2 days, 4:23:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3102, top5_acc: 0.5689, loss_cls: 6.6683, loss: 6.6683 2023-12-31 11:25:01,404 - pyskl - INFO - Epoch [71][3300/3746] lr: 5.431e-02, eta: 2 days, 4:22:01, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5720, loss_cls: 6.6691, loss: 6.6691 2023-12-31 11:26:01,556 - pyskl - INFO - Epoch [71][3400/3746] lr: 5.428e-02, eta: 2 days, 4:20:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5713, loss_cls: 6.6422, loss: 6.6422 2023-12-31 11:27:01,632 - pyskl - INFO - Epoch [71][3500/3746] lr: 5.425e-02, eta: 2 days, 4:19:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3130, top5_acc: 0.5742, loss_cls: 6.6563, loss: 6.6563 2023-12-31 11:28:02,525 - pyskl - INFO - Epoch [71][3600/3746] lr: 5.422e-02, eta: 2 days, 4:18:40, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3145, top5_acc: 0.5650, loss_cls: 6.6727, loss: 6.6727 2023-12-31 11:29:02,959 - pyskl - INFO - Epoch [71][3700/3746] lr: 5.420e-02, eta: 2 days, 4:17:33, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5700, loss_cls: 6.6727, loss: 6.6727 2023-12-31 11:29:33,345 - pyskl - INFO - Saving checkpoint at 71 epochs 2023-12-31 11:31:32,562 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 11:31:33,373 - pyskl - INFO - top1_acc 0.2571 top5_acc 0.5004 2023-12-31 11:31:33,373 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 11:31:33,421 - pyskl - INFO - mean_acc 0.2568 2023-12-31 11:31:33,433 - pyskl - INFO - Epoch(val) [71][309] top1_acc: 0.2571, top5_acc: 0.5004, mean_class_accuracy: 0.2568 2023-12-31 11:34:57,111 - pyskl - INFO - Epoch [72][100/3746] lr: 5.416e-02, eta: 2 days, 4:18:03, time: 2.037, data_time: 1.442, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5825, loss_cls: 6.6016, loss: 6.6016 2023-12-31 11:35:57,125 - pyskl - INFO - Epoch [72][200/3746] lr: 5.413e-02, eta: 2 days, 4:16:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3223, top5_acc: 0.5761, loss_cls: 6.6291, loss: 6.6291 2023-12-31 11:36:57,563 - pyskl - INFO - Epoch [72][300/3746] lr: 5.410e-02, eta: 2 days, 4:15:48, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3252, top5_acc: 0.5755, loss_cls: 6.6470, loss: 6.6470 2023-12-31 11:37:58,087 - pyskl - INFO - Epoch [72][400/3746] lr: 5.407e-02, eta: 2 days, 4:14:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3178, top5_acc: 0.5763, loss_cls: 6.6060, loss: 6.6060 2023-12-31 11:38:58,591 - pyskl - INFO - Epoch [72][500/3746] lr: 5.404e-02, eta: 2 days, 4:13:34, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5770, loss_cls: 6.6153, loss: 6.6153 2023-12-31 11:39:58,692 - pyskl - INFO - Epoch [72][600/3746] lr: 5.402e-02, eta: 2 days, 4:12:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3258, top5_acc: 0.5789, loss_cls: 6.6124, loss: 6.6124 2023-12-31 11:40:58,912 - pyskl - INFO - Epoch [72][700/3746] lr: 5.399e-02, eta: 2 days, 4:11:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3158, top5_acc: 0.5853, loss_cls: 6.5940, loss: 6.5940 2023-12-31 11:41:59,611 - pyskl - INFO - Epoch [72][800/3746] lr: 5.396e-02, eta: 2 days, 4:10:12, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3153, top5_acc: 0.5694, loss_cls: 6.6359, loss: 6.6359 2023-12-31 11:43:00,953 - pyskl - INFO - Epoch [72][900/3746] lr: 5.393e-02, eta: 2 days, 4:09:06, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3080, top5_acc: 0.5653, loss_cls: 6.6849, loss: 6.6849 2023-12-31 11:44:01,773 - pyskl - INFO - Epoch [72][1000/3746] lr: 5.391e-02, eta: 2 days, 4:07:59, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3245, top5_acc: 0.5841, loss_cls: 6.6085, loss: 6.6085 2023-12-31 11:45:02,225 - pyskl - INFO - Epoch [72][1100/3746] lr: 5.388e-02, eta: 2 days, 4:06:52, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5753, loss_cls: 6.6357, loss: 6.6357 2023-12-31 11:46:02,628 - pyskl - INFO - Epoch [72][1200/3746] lr: 5.385e-02, eta: 2 days, 4:05:45, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3102, top5_acc: 0.5789, loss_cls: 6.6294, loss: 6.6294 2023-12-31 11:47:02,822 - pyskl - INFO - Epoch [72][1300/3746] lr: 5.382e-02, eta: 2 days, 4:04:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3170, top5_acc: 0.5787, loss_cls: 6.6016, loss: 6.6016 2023-12-31 11:48:02,864 - pyskl - INFO - Epoch [72][1400/3746] lr: 5.379e-02, eta: 2 days, 4:03:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5684, loss_cls: 6.6730, loss: 6.6730 2023-12-31 11:49:03,002 - pyskl - INFO - Epoch [72][1500/3746] lr: 5.377e-02, eta: 2 days, 4:02:22, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5669, loss_cls: 6.6406, loss: 6.6406 2023-12-31 11:50:03,327 - pyskl - INFO - Epoch [72][1600/3746] lr: 5.374e-02, eta: 2 days, 4:01:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3150, top5_acc: 0.5716, loss_cls: 6.6341, loss: 6.6341 2023-12-31 11:51:03,994 - pyskl - INFO - Epoch [72][1700/3746] lr: 5.371e-02, eta: 2 days, 4:00:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3136, top5_acc: 0.5680, loss_cls: 6.6446, loss: 6.6446 2023-12-31 11:52:05,044 - pyskl - INFO - Epoch [72][1800/3746] lr: 5.368e-02, eta: 2 days, 3:59:02, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5764, loss_cls: 6.6467, loss: 6.6467 2023-12-31 11:53:06,616 - pyskl - INFO - Epoch [72][1900/3746] lr: 5.365e-02, eta: 2 days, 3:57:56, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.3208, top5_acc: 0.5681, loss_cls: 6.6442, loss: 6.6442 2023-12-31 11:54:07,311 - pyskl - INFO - Epoch [72][2000/3746] lr: 5.363e-02, eta: 2 days, 3:56:49, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3264, top5_acc: 0.5748, loss_cls: 6.5952, loss: 6.5952 2023-12-31 11:55:08,151 - pyskl - INFO - Epoch [72][2100/3746] lr: 5.360e-02, eta: 2 days, 3:55:42, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3034, top5_acc: 0.5658, loss_cls: 6.6822, loss: 6.6822 2023-12-31 11:56:08,553 - pyskl - INFO - Epoch [72][2200/3746] lr: 5.357e-02, eta: 2 days, 3:54:35, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3106, top5_acc: 0.5708, loss_cls: 6.6552, loss: 6.6552 2023-12-31 11:57:09,256 - pyskl - INFO - Epoch [72][2300/3746] lr: 5.354e-02, eta: 2 days, 3:53:28, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5733, loss_cls: 6.6318, loss: 6.6318 2023-12-31 11:58:09,261 - pyskl - INFO - Epoch [72][2400/3746] lr: 5.352e-02, eta: 2 days, 3:52:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5633, loss_cls: 6.6598, loss: 6.6598 2023-12-31 11:59:09,370 - pyskl - INFO - Epoch [72][2500/3746] lr: 5.349e-02, eta: 2 days, 3:51:13, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5677, loss_cls: 6.6617, loss: 6.6617 2023-12-31 12:00:09,438 - pyskl - INFO - Epoch [72][2600/3746] lr: 5.346e-02, eta: 2 days, 3:50:06, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5787, loss_cls: 6.6340, loss: 6.6340 2023-12-31 12:01:09,400 - pyskl - INFO - Epoch [72][2700/3746] lr: 5.343e-02, eta: 2 days, 3:48:58, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3141, top5_acc: 0.5831, loss_cls: 6.6097, loss: 6.6097 2023-12-31 12:02:09,734 - pyskl - INFO - Epoch [72][2800/3746] lr: 5.340e-02, eta: 2 days, 3:47:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5783, loss_cls: 6.6422, loss: 6.6422 2023-12-31 12:03:10,568 - pyskl - INFO - Epoch [72][2900/3746] lr: 5.338e-02, eta: 2 days, 3:46:44, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3122, top5_acc: 0.5628, loss_cls: 6.6643, loss: 6.6643 2023-12-31 12:04:11,286 - pyskl - INFO - Epoch [72][3000/3746] lr: 5.335e-02, eta: 2 days, 3:45:38, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3122, top5_acc: 0.5687, loss_cls: 6.6620, loss: 6.6620 2023-12-31 12:05:11,430 - pyskl - INFO - Epoch [72][3100/3746] lr: 5.332e-02, eta: 2 days, 3:44:30, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3173, top5_acc: 0.5722, loss_cls: 6.6237, loss: 6.6237 2023-12-31 12:06:11,928 - pyskl - INFO - Epoch [72][3200/3746] lr: 5.329e-02, eta: 2 days, 3:43:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5805, loss_cls: 6.6181, loss: 6.6181 2023-12-31 12:07:12,150 - pyskl - INFO - Epoch [72][3300/3746] lr: 5.326e-02, eta: 2 days, 3:42:16, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5686, loss_cls: 6.6540, loss: 6.6540 2023-12-31 12:08:12,934 - pyskl - INFO - Epoch [72][3400/3746] lr: 5.324e-02, eta: 2 days, 3:41:09, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5650, loss_cls: 6.6724, loss: 6.6724 2023-12-31 12:09:13,186 - pyskl - INFO - Epoch [72][3500/3746] lr: 5.321e-02, eta: 2 days, 3:40:02, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5706, loss_cls: 6.6552, loss: 6.6552 2023-12-31 12:10:13,375 - pyskl - INFO - Epoch [72][3600/3746] lr: 5.318e-02, eta: 2 days, 3:38:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5755, loss_cls: 6.6333, loss: 6.6333 2023-12-31 12:11:13,592 - pyskl - INFO - Epoch [72][3700/3746] lr: 5.315e-02, eta: 2 days, 3:37:47, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5748, loss_cls: 6.6243, loss: 6.6243 2023-12-31 12:11:43,371 - pyskl - INFO - Saving checkpoint at 72 epochs 2023-12-31 12:13:45,235 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 12:13:46,283 - pyskl - INFO - top1_acc 0.2617 top5_acc 0.5054 2023-12-31 12:13:46,283 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 12:13:46,320 - pyskl - INFO - mean_acc 0.2616 2023-12-31 12:13:46,326 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_70.pth was removed 2023-12-31 12:13:46,609 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_72.pth. 2023-12-31 12:13:46,609 - pyskl - INFO - Best top1_acc is 0.2617 at 72 epoch. 2023-12-31 12:13:46,617 - pyskl - INFO - Epoch(val) [72][309] top1_acc: 0.2617, top5_acc: 0.5054, mean_class_accuracy: 0.2616 2023-12-31 12:17:11,237 - pyskl - INFO - Epoch [73][100/3746] lr: 5.311e-02, eta: 2 days, 3:38:16, time: 2.046, data_time: 1.452, memory: 16177, top1_acc: 0.3270, top5_acc: 0.5823, loss_cls: 6.5684, loss: 6.5684 2023-12-31 12:18:10,629 - pyskl - INFO - Epoch [73][200/3746] lr: 5.308e-02, eta: 2 days, 3:37:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3228, top5_acc: 0.5794, loss_cls: 6.5971, loss: 6.5971 2023-12-31 12:19:10,610 - pyskl - INFO - Epoch [73][300/3746] lr: 5.306e-02, eta: 2 days, 3:36:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3239, top5_acc: 0.5881, loss_cls: 6.5849, loss: 6.5849 2023-12-31 12:20:10,876 - pyskl - INFO - Epoch [73][400/3746] lr: 5.303e-02, eta: 2 days, 3:34:52, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3184, top5_acc: 0.5725, loss_cls: 6.6152, loss: 6.6152 2023-12-31 12:21:11,177 - pyskl - INFO - Epoch [73][500/3746] lr: 5.300e-02, eta: 2 days, 3:33:45, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3197, top5_acc: 0.5797, loss_cls: 6.5957, loss: 6.5957 2023-12-31 12:22:11,318 - pyskl - INFO - Epoch [73][600/3746] lr: 5.297e-02, eta: 2 days, 3:32:38, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3217, top5_acc: 0.5784, loss_cls: 6.5927, loss: 6.5927 2023-12-31 12:23:11,826 - pyskl - INFO - Epoch [73][700/3746] lr: 5.294e-02, eta: 2 days, 3:31:31, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3253, top5_acc: 0.5742, loss_cls: 6.6020, loss: 6.6020 2023-12-31 12:24:12,537 - pyskl - INFO - Epoch [73][800/3746] lr: 5.292e-02, eta: 2 days, 3:30:24, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5697, loss_cls: 6.6408, loss: 6.6408 2023-12-31 12:25:13,354 - pyskl - INFO - Epoch [73][900/3746] lr: 5.289e-02, eta: 2 days, 3:29:17, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3391, top5_acc: 0.5853, loss_cls: 6.5503, loss: 6.5503 2023-12-31 12:26:13,676 - pyskl - INFO - Epoch [73][1000/3746] lr: 5.286e-02, eta: 2 days, 3:28:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5791, loss_cls: 6.6254, loss: 6.6254 2023-12-31 12:27:13,409 - pyskl - INFO - Epoch [73][1100/3746] lr: 5.283e-02, eta: 2 days, 3:27:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5681, loss_cls: 6.6524, loss: 6.6524 2023-12-31 12:28:13,653 - pyskl - INFO - Epoch [73][1200/3746] lr: 5.280e-02, eta: 2 days, 3:25:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3147, top5_acc: 0.5720, loss_cls: 6.6575, loss: 6.6575 2023-12-31 12:29:13,956 - pyskl - INFO - Epoch [73][1300/3746] lr: 5.278e-02, eta: 2 days, 3:24:48, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5827, loss_cls: 6.6183, loss: 6.6183 2023-12-31 12:30:13,998 - pyskl - INFO - Epoch [73][1400/3746] lr: 5.275e-02, eta: 2 days, 3:23:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3038, top5_acc: 0.5683, loss_cls: 6.6849, loss: 6.6849 2023-12-31 12:31:14,187 - pyskl - INFO - Epoch [73][1500/3746] lr: 5.272e-02, eta: 2 days, 3:22:33, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3089, top5_acc: 0.5695, loss_cls: 6.6461, loss: 6.6461 2023-12-31 12:32:14,500 - pyskl - INFO - Epoch [73][1600/3746] lr: 5.269e-02, eta: 2 days, 3:21:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3123, top5_acc: 0.5870, loss_cls: 6.5656, loss: 6.5656 2023-12-31 12:33:14,765 - pyskl - INFO - Epoch [73][1700/3746] lr: 5.267e-02, eta: 2 days, 3:20:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5673, loss_cls: 6.6681, loss: 6.6681 2023-12-31 12:34:15,276 - pyskl - INFO - Epoch [73][1800/3746] lr: 5.264e-02, eta: 2 days, 3:19:12, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3147, top5_acc: 0.5717, loss_cls: 6.6372, loss: 6.6372 2023-12-31 12:35:16,158 - pyskl - INFO - Epoch [73][1900/3746] lr: 5.261e-02, eta: 2 days, 3:18:05, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5706, loss_cls: 6.6663, loss: 6.6663 2023-12-31 12:36:16,850 - pyskl - INFO - Epoch [73][2000/3746] lr: 5.258e-02, eta: 2 days, 3:16:58, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5664, loss_cls: 6.6536, loss: 6.6536 2023-12-31 12:37:17,849 - pyskl - INFO - Epoch [73][2100/3746] lr: 5.255e-02, eta: 2 days, 3:15:52, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3120, top5_acc: 0.5745, loss_cls: 6.6368, loss: 6.6368 2023-12-31 12:38:18,086 - pyskl - INFO - Epoch [73][2200/3746] lr: 5.253e-02, eta: 2 days, 3:14:45, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5767, loss_cls: 6.6502, loss: 6.6502 2023-12-31 12:39:18,441 - pyskl - INFO - Epoch [73][2300/3746] lr: 5.250e-02, eta: 2 days, 3:13:38, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3150, top5_acc: 0.5759, loss_cls: 6.6366, loss: 6.6366 2023-12-31 12:40:18,670 - pyskl - INFO - Epoch [73][2400/3746] lr: 5.247e-02, eta: 2 days, 3:12:30, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3202, top5_acc: 0.5739, loss_cls: 6.6205, loss: 6.6205 2023-12-31 12:41:18,912 - pyskl - INFO - Epoch [73][2500/3746] lr: 5.244e-02, eta: 2 days, 3:11:23, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3186, top5_acc: 0.5877, loss_cls: 6.5953, loss: 6.5953 2023-12-31 12:42:19,455 - pyskl - INFO - Epoch [73][2600/3746] lr: 5.241e-02, eta: 2 days, 3:10:16, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5864, loss_cls: 6.5613, loss: 6.5613 2023-12-31 12:43:19,157 - pyskl - INFO - Epoch [73][2700/3746] lr: 5.239e-02, eta: 2 days, 3:09:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5606, loss_cls: 6.6838, loss: 6.6838 2023-12-31 12:44:19,005 - pyskl - INFO - Epoch [73][2800/3746] lr: 5.236e-02, eta: 2 days, 3:08:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3116, top5_acc: 0.5642, loss_cls: 6.7031, loss: 6.7031 2023-12-31 12:45:19,348 - pyskl - INFO - Epoch [73][2900/3746] lr: 5.233e-02, eta: 2 days, 3:06:54, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5745, loss_cls: 6.6313, loss: 6.6313 2023-12-31 12:46:19,708 - pyskl - INFO - Epoch [73][3000/3746] lr: 5.230e-02, eta: 2 days, 3:05:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3255, top5_acc: 0.5792, loss_cls: 6.6221, loss: 6.6221 2023-12-31 12:47:19,870 - pyskl - INFO - Epoch [73][3100/3746] lr: 5.227e-02, eta: 2 days, 3:04:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3120, top5_acc: 0.5622, loss_cls: 6.6767, loss: 6.6767 2023-12-31 12:48:20,713 - pyskl - INFO - Epoch [73][3200/3746] lr: 5.225e-02, eta: 2 days, 3:03:33, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3206, top5_acc: 0.5734, loss_cls: 6.6501, loss: 6.6501 2023-12-31 12:49:21,106 - pyskl - INFO - Epoch [73][3300/3746] lr: 5.222e-02, eta: 2 days, 3:02:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3147, top5_acc: 0.5703, loss_cls: 6.6452, loss: 6.6452 2023-12-31 12:50:21,424 - pyskl - INFO - Epoch [73][3400/3746] lr: 5.219e-02, eta: 2 days, 3:01:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5730, loss_cls: 6.6271, loss: 6.6271 2023-12-31 12:51:21,762 - pyskl - INFO - Epoch [73][3500/3746] lr: 5.216e-02, eta: 2 days, 3:00:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3114, top5_acc: 0.5648, loss_cls: 6.6701, loss: 6.6701 2023-12-31 12:52:21,973 - pyskl - INFO - Epoch [73][3600/3746] lr: 5.213e-02, eta: 2 days, 2:59:05, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3217, top5_acc: 0.5763, loss_cls: 6.6196, loss: 6.6196 2023-12-31 12:53:21,822 - pyskl - INFO - Epoch [73][3700/3746] lr: 5.211e-02, eta: 2 days, 2:57:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5711, loss_cls: 6.6261, loss: 6.6261 2023-12-31 12:53:52,218 - pyskl - INFO - Saving checkpoint at 73 epochs 2023-12-31 12:55:52,000 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 12:55:52,792 - pyskl - INFO - top1_acc 0.2526 top5_acc 0.5102 2023-12-31 12:55:52,792 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 12:55:52,823 - pyskl - INFO - mean_acc 0.2526 2023-12-31 12:55:52,830 - pyskl - INFO - Epoch(val) [73][309] top1_acc: 0.2526, top5_acc: 0.5102, mean_class_accuracy: 0.2526 2023-12-31 12:59:16,574 - pyskl - INFO - Epoch [74][100/3746] lr: 5.207e-02, eta: 2 days, 2:58:21, time: 2.037, data_time: 1.441, memory: 16177, top1_acc: 0.3256, top5_acc: 0.5773, loss_cls: 6.5828, loss: 6.5828 2023-12-31 13:00:16,166 - pyskl - INFO - Epoch [74][200/3746] lr: 5.204e-02, eta: 2 days, 2:57:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5823, loss_cls: 6.5965, loss: 6.5965 2023-12-31 13:01:16,133 - pyskl - INFO - Epoch [74][300/3746] lr: 5.201e-02, eta: 2 days, 2:56:06, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3212, top5_acc: 0.5848, loss_cls: 6.5851, loss: 6.5851 2023-12-31 13:02:16,209 - pyskl - INFO - Epoch [74][400/3746] lr: 5.198e-02, eta: 2 days, 2:54:58, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3152, top5_acc: 0.5709, loss_cls: 6.6040, loss: 6.6040 2023-12-31 13:03:16,775 - pyskl - INFO - Epoch [74][500/3746] lr: 5.195e-02, eta: 2 days, 2:53:51, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3080, top5_acc: 0.5703, loss_cls: 6.6617, loss: 6.6617 2023-12-31 13:04:17,366 - pyskl - INFO - Epoch [74][600/3746] lr: 5.193e-02, eta: 2 days, 2:52:45, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3305, top5_acc: 0.5852, loss_cls: 6.5592, loss: 6.5592 2023-12-31 13:05:17,502 - pyskl - INFO - Epoch [74][700/3746] lr: 5.190e-02, eta: 2 days, 2:51:37, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3222, top5_acc: 0.5745, loss_cls: 6.6133, loss: 6.6133 2023-12-31 13:06:18,709 - pyskl - INFO - Epoch [74][800/3746] lr: 5.187e-02, eta: 2 days, 2:50:31, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3364, top5_acc: 0.5880, loss_cls: 6.5519, loss: 6.5519 2023-12-31 13:07:19,946 - pyskl - INFO - Epoch [74][900/3746] lr: 5.184e-02, eta: 2 days, 2:49:25, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3191, top5_acc: 0.5861, loss_cls: 6.5965, loss: 6.5965 2023-12-31 13:08:20,186 - pyskl - INFO - Epoch [74][1000/3746] lr: 5.181e-02, eta: 2 days, 2:48:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3161, top5_acc: 0.5647, loss_cls: 6.6489, loss: 6.6489 2023-12-31 13:09:20,365 - pyskl - INFO - Epoch [74][1100/3746] lr: 5.179e-02, eta: 2 days, 2:47:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3169, top5_acc: 0.5811, loss_cls: 6.5980, loss: 6.5980 2023-12-31 13:10:20,341 - pyskl - INFO - Epoch [74][1200/3746] lr: 5.176e-02, eta: 2 days, 2:46:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5678, loss_cls: 6.6320, loss: 6.6320 2023-12-31 13:11:20,134 - pyskl - INFO - Epoch [74][1300/3746] lr: 5.173e-02, eta: 2 days, 2:44:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3220, top5_acc: 0.5791, loss_cls: 6.5977, loss: 6.5977 2023-12-31 13:12:20,348 - pyskl - INFO - Epoch [74][1400/3746] lr: 5.170e-02, eta: 2 days, 2:43:48, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5756, loss_cls: 6.6206, loss: 6.6206 2023-12-31 13:13:20,614 - pyskl - INFO - Epoch [74][1500/3746] lr: 5.168e-02, eta: 2 days, 2:42:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5745, loss_cls: 6.6185, loss: 6.6185 2023-12-31 13:14:20,944 - pyskl - INFO - Epoch [74][1600/3746] lr: 5.165e-02, eta: 2 days, 2:41:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3211, top5_acc: 0.5783, loss_cls: 6.6257, loss: 6.6257 2023-12-31 13:15:20,910 - pyskl - INFO - Epoch [74][1700/3746] lr: 5.162e-02, eta: 2 days, 2:40:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5756, loss_cls: 6.6198, loss: 6.6198 2023-12-31 13:16:21,705 - pyskl - INFO - Epoch [74][1800/3746] lr: 5.159e-02, eta: 2 days, 2:39:20, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5687, loss_cls: 6.6581, loss: 6.6581 2023-12-31 13:17:22,699 - pyskl - INFO - Epoch [74][1900/3746] lr: 5.156e-02, eta: 2 days, 2:38:14, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3111, top5_acc: 0.5747, loss_cls: 6.6242, loss: 6.6242 2023-12-31 13:18:23,523 - pyskl - INFO - Epoch [74][2000/3746] lr: 5.154e-02, eta: 2 days, 2:37:07, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3159, top5_acc: 0.5758, loss_cls: 6.6243, loss: 6.6243 2023-12-31 13:19:24,350 - pyskl - INFO - Epoch [74][2100/3746] lr: 5.151e-02, eta: 2 days, 2:36:01, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3228, top5_acc: 0.5747, loss_cls: 6.6300, loss: 6.6300 2023-12-31 13:20:25,137 - pyskl - INFO - Epoch [74][2200/3746] lr: 5.148e-02, eta: 2 days, 2:34:54, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5767, loss_cls: 6.5918, loss: 6.5918 2023-12-31 13:21:25,400 - pyskl - INFO - Epoch [74][2300/3746] lr: 5.145e-02, eta: 2 days, 2:33:47, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3166, top5_acc: 0.5725, loss_cls: 6.6356, loss: 6.6356 2023-12-31 13:22:25,906 - pyskl - INFO - Epoch [74][2400/3746] lr: 5.142e-02, eta: 2 days, 2:32:40, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3084, top5_acc: 0.5720, loss_cls: 6.6465, loss: 6.6465 2023-12-31 13:23:25,990 - pyskl - INFO - Epoch [74][2500/3746] lr: 5.140e-02, eta: 2 days, 2:31:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3261, top5_acc: 0.5861, loss_cls: 6.5831, loss: 6.5831 2023-12-31 13:24:25,851 - pyskl - INFO - Epoch [74][2600/3746] lr: 5.137e-02, eta: 2 days, 2:30:25, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3136, top5_acc: 0.5741, loss_cls: 6.6254, loss: 6.6254 2023-12-31 13:25:26,021 - pyskl - INFO - Epoch [74][2700/3746] lr: 5.134e-02, eta: 2 days, 2:29:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3244, top5_acc: 0.5752, loss_cls: 6.6318, loss: 6.6318 2023-12-31 13:26:26,101 - pyskl - INFO - Epoch [74][2800/3746] lr: 5.131e-02, eta: 2 days, 2:28:11, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5759, loss_cls: 6.5892, loss: 6.5892 2023-12-31 13:27:26,007 - pyskl - INFO - Epoch [74][2900/3746] lr: 5.128e-02, eta: 2 days, 2:27:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5802, loss_cls: 6.6134, loss: 6.6134 2023-12-31 13:28:26,461 - pyskl - INFO - Epoch [74][3000/3746] lr: 5.126e-02, eta: 2 days, 2:25:57, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3261, top5_acc: 0.5809, loss_cls: 6.5811, loss: 6.5811 2023-12-31 13:29:26,751 - pyskl - INFO - Epoch [74][3100/3746] lr: 5.123e-02, eta: 2 days, 2:24:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3197, top5_acc: 0.5742, loss_cls: 6.6295, loss: 6.6295 2023-12-31 13:30:27,670 - pyskl - INFO - Epoch [74][3200/3746] lr: 5.120e-02, eta: 2 days, 2:23:43, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3284, top5_acc: 0.5809, loss_cls: 6.6071, loss: 6.6071 2023-12-31 13:31:27,922 - pyskl - INFO - Epoch [74][3300/3746] lr: 5.117e-02, eta: 2 days, 2:22:36, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3131, top5_acc: 0.5844, loss_cls: 6.5946, loss: 6.5946 2023-12-31 13:32:28,292 - pyskl - INFO - Epoch [74][3400/3746] lr: 5.114e-02, eta: 2 days, 2:21:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5855, loss_cls: 6.5841, loss: 6.5841 2023-12-31 13:33:28,756 - pyskl - INFO - Epoch [74][3500/3746] lr: 5.112e-02, eta: 2 days, 2:20:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5767, loss_cls: 6.6309, loss: 6.6309 2023-12-31 13:34:29,344 - pyskl - INFO - Epoch [74][3600/3746] lr: 5.109e-02, eta: 2 days, 2:19:16, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3155, top5_acc: 0.5719, loss_cls: 6.6266, loss: 6.6266 2023-12-31 13:35:30,224 - pyskl - INFO - Epoch [74][3700/3746] lr: 5.106e-02, eta: 2 days, 2:18:09, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3144, top5_acc: 0.5745, loss_cls: 6.6561, loss: 6.6561 2023-12-31 13:36:00,812 - pyskl - INFO - Saving checkpoint at 74 epochs 2023-12-31 13:38:00,220 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 13:38:01,023 - pyskl - INFO - top1_acc 0.2403 top5_acc 0.4805 2023-12-31 13:38:01,023 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 13:38:01,054 - pyskl - INFO - mean_acc 0.2401 2023-12-31 13:38:01,062 - pyskl - INFO - Epoch(val) [74][309] top1_acc: 0.2403, top5_acc: 0.4805, mean_class_accuracy: 0.2401 2023-12-31 13:41:19,615 - pyskl - INFO - Epoch [75][100/3746] lr: 5.102e-02, eta: 2 days, 2:18:25, time: 1.985, data_time: 1.389, memory: 16177, top1_acc: 0.3356, top5_acc: 0.5894, loss_cls: 6.5514, loss: 6.5514 2023-12-31 13:42:19,271 - pyskl - INFO - Epoch [75][200/3746] lr: 5.099e-02, eta: 2 days, 2:17:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5900, loss_cls: 6.5794, loss: 6.5794 2023-12-31 13:43:19,225 - pyskl - INFO - Epoch [75][300/3746] lr: 5.096e-02, eta: 2 days, 2:16:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3111, top5_acc: 0.5691, loss_cls: 6.6533, loss: 6.6533 2023-12-31 13:44:19,407 - pyskl - INFO - Epoch [75][400/3746] lr: 5.094e-02, eta: 2 days, 2:15:03, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3245, top5_acc: 0.5883, loss_cls: 6.5977, loss: 6.5977 2023-12-31 13:45:19,642 - pyskl - INFO - Epoch [75][500/3746] lr: 5.091e-02, eta: 2 days, 2:13:56, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3250, top5_acc: 0.5811, loss_cls: 6.5905, loss: 6.5905 2023-12-31 13:46:19,706 - pyskl - INFO - Epoch [75][600/3746] lr: 5.088e-02, eta: 2 days, 2:12:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3208, top5_acc: 0.5837, loss_cls: 6.5795, loss: 6.5795 2023-12-31 13:47:20,814 - pyskl - INFO - Epoch [75][700/3746] lr: 5.085e-02, eta: 2 days, 2:11:42, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3202, top5_acc: 0.5845, loss_cls: 6.5623, loss: 6.5623 2023-12-31 13:48:22,118 - pyskl - INFO - Epoch [75][800/3746] lr: 5.082e-02, eta: 2 days, 2:10:36, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3273, top5_acc: 0.5913, loss_cls: 6.5706, loss: 6.5706 2023-12-31 13:49:22,939 - pyskl - INFO - Epoch [75][900/3746] lr: 5.080e-02, eta: 2 days, 2:09:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3178, top5_acc: 0.5748, loss_cls: 6.6034, loss: 6.6034 2023-12-31 13:50:23,590 - pyskl - INFO - Epoch [75][1000/3746] lr: 5.077e-02, eta: 2 days, 2:08:23, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3255, top5_acc: 0.5845, loss_cls: 6.5824, loss: 6.5824 2023-12-31 13:51:24,075 - pyskl - INFO - Epoch [75][1100/3746] lr: 5.074e-02, eta: 2 days, 2:07:16, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3191, top5_acc: 0.5767, loss_cls: 6.6021, loss: 6.6021 2023-12-31 13:52:24,664 - pyskl - INFO - Epoch [75][1200/3746] lr: 5.071e-02, eta: 2 days, 2:06:09, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3248, top5_acc: 0.5766, loss_cls: 6.6092, loss: 6.6092 2023-12-31 13:53:24,785 - pyskl - INFO - Epoch [75][1300/3746] lr: 5.068e-02, eta: 2 days, 2:05:02, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5917, loss_cls: 6.5423, loss: 6.5423 2023-12-31 13:54:24,996 - pyskl - INFO - Epoch [75][1400/3746] lr: 5.066e-02, eta: 2 days, 2:03:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5808, loss_cls: 6.5811, loss: 6.5811 2023-12-31 13:55:25,119 - pyskl - INFO - Epoch [75][1500/3746] lr: 5.063e-02, eta: 2 days, 2:02:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3278, top5_acc: 0.5747, loss_cls: 6.5879, loss: 6.5879 2023-12-31 13:56:25,388 - pyskl - INFO - Epoch [75][1600/3746] lr: 5.060e-02, eta: 2 days, 2:01:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5839, loss_cls: 6.6208, loss: 6.6208 2023-12-31 13:57:25,886 - pyskl - INFO - Epoch [75][1700/3746] lr: 5.057e-02, eta: 2 days, 2:00:34, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3173, top5_acc: 0.5708, loss_cls: 6.6527, loss: 6.6527 2023-12-31 13:58:27,168 - pyskl - INFO - Epoch [75][1800/3746] lr: 5.054e-02, eta: 2 days, 1:59:28, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3231, top5_acc: 0.5817, loss_cls: 6.5988, loss: 6.5988 2023-12-31 13:59:28,450 - pyskl - INFO - Epoch [75][1900/3746] lr: 5.052e-02, eta: 2 days, 1:58:22, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3223, top5_acc: 0.5755, loss_cls: 6.6176, loss: 6.6176 2023-12-31 14:00:28,679 - pyskl - INFO - Epoch [75][2000/3746] lr: 5.049e-02, eta: 2 days, 1:57:15, time: 0.602, data_time: 0.001, memory: 16177, top1_acc: 0.3053, top5_acc: 0.5705, loss_cls: 6.6721, loss: 6.6721 2023-12-31 14:01:29,341 - pyskl - INFO - Epoch [75][2100/3746] lr: 5.046e-02, eta: 2 days, 1:56:09, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3070, top5_acc: 0.5583, loss_cls: 6.6874, loss: 6.6874 2023-12-31 14:02:30,674 - pyskl - INFO - Epoch [75][2200/3746] lr: 5.043e-02, eta: 2 days, 1:55:03, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3320, top5_acc: 0.5837, loss_cls: 6.5735, loss: 6.5735 2023-12-31 14:03:30,916 - pyskl - INFO - Epoch [75][2300/3746] lr: 5.040e-02, eta: 2 days, 1:53:56, time: 0.602, data_time: 0.001, memory: 16177, top1_acc: 0.3084, top5_acc: 0.5678, loss_cls: 6.6630, loss: 6.6630 2023-12-31 14:04:30,770 - pyskl - INFO - Epoch [75][2400/3746] lr: 5.038e-02, eta: 2 days, 1:52:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3269, top5_acc: 0.5800, loss_cls: 6.6151, loss: 6.6151 2023-12-31 14:05:30,530 - pyskl - INFO - Epoch [75][2500/3746] lr: 5.035e-02, eta: 2 days, 1:51:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3202, top5_acc: 0.5794, loss_cls: 6.6108, loss: 6.6108 2023-12-31 14:06:30,708 - pyskl - INFO - Epoch [75][2600/3746] lr: 5.032e-02, eta: 2 days, 1:50:34, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3173, top5_acc: 0.5780, loss_cls: 6.6456, loss: 6.6456 2023-12-31 14:07:30,837 - pyskl - INFO - Epoch [75][2700/3746] lr: 5.029e-02, eta: 2 days, 1:49:27, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5745, loss_cls: 6.6026, loss: 6.6026 2023-12-31 14:08:31,062 - pyskl - INFO - Epoch [75][2800/3746] lr: 5.026e-02, eta: 2 days, 1:48:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5819, loss_cls: 6.5905, loss: 6.5905 2023-12-31 14:09:31,251 - pyskl - INFO - Epoch [75][2900/3746] lr: 5.024e-02, eta: 2 days, 1:47:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5744, loss_cls: 6.6018, loss: 6.6018 2023-12-31 14:10:31,334 - pyskl - INFO - Epoch [75][3000/3746] lr: 5.021e-02, eta: 2 days, 1:46:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3202, top5_acc: 0.5759, loss_cls: 6.6173, loss: 6.6173 2023-12-31 14:11:31,745 - pyskl - INFO - Epoch [75][3100/3746] lr: 5.018e-02, eta: 2 days, 1:44:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3253, top5_acc: 0.5767, loss_cls: 6.6053, loss: 6.6053 2023-12-31 14:12:31,801 - pyskl - INFO - Epoch [75][3200/3746] lr: 5.015e-02, eta: 2 days, 1:43:51, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3136, top5_acc: 0.5723, loss_cls: 6.6269, loss: 6.6269 2023-12-31 14:13:32,086 - pyskl - INFO - Epoch [75][3300/3746] lr: 5.012e-02, eta: 2 days, 1:42:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5864, loss_cls: 6.5774, loss: 6.5774 2023-12-31 14:14:32,260 - pyskl - INFO - Epoch [75][3400/3746] lr: 5.010e-02, eta: 2 days, 1:41:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3197, top5_acc: 0.5769, loss_cls: 6.6133, loss: 6.6133 2023-12-31 14:15:32,993 - pyskl - INFO - Epoch [75][3500/3746] lr: 5.007e-02, eta: 2 days, 1:40:31, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5702, loss_cls: 6.6767, loss: 6.6767 2023-12-31 14:16:33,503 - pyskl - INFO - Epoch [75][3600/3746] lr: 5.004e-02, eta: 2 days, 1:39:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3253, top5_acc: 0.5822, loss_cls: 6.5788, loss: 6.5788 2023-12-31 14:17:33,838 - pyskl - INFO - Epoch [75][3700/3746] lr: 5.001e-02, eta: 2 days, 1:38:17, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5800, loss_cls: 6.5944, loss: 6.5944 2023-12-31 14:18:03,919 - pyskl - INFO - Saving checkpoint at 75 epochs 2023-12-31 14:20:02,905 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 14:20:03,943 - pyskl - INFO - top1_acc 0.2596 top5_acc 0.5169 2023-12-31 14:20:03,943 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 14:20:03,981 - pyskl - INFO - mean_acc 0.2595 2023-12-31 14:20:03,989 - pyskl - INFO - Epoch(val) [75][309] top1_acc: 0.2596, top5_acc: 0.5169, mean_class_accuracy: 0.2595 2023-12-31 14:23:24,002 - pyskl - INFO - Epoch [76][100/3746] lr: 4.997e-02, eta: 2 days, 1:38:32, time: 2.000, data_time: 1.405, memory: 16177, top1_acc: 0.3348, top5_acc: 0.5936, loss_cls: 6.5304, loss: 6.5304 2023-12-31 14:24:23,592 - pyskl - INFO - Epoch [76][200/3746] lr: 4.994e-02, eta: 2 days, 1:37:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3281, top5_acc: 0.5892, loss_cls: 6.5563, loss: 6.5563 2023-12-31 14:25:23,548 - pyskl - INFO - Epoch [76][300/3746] lr: 4.992e-02, eta: 2 days, 1:36:17, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5900, loss_cls: 6.5276, loss: 6.5276 2023-12-31 14:26:23,702 - pyskl - INFO - Epoch [76][400/3746] lr: 4.989e-02, eta: 2 days, 1:35:10, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3267, top5_acc: 0.5887, loss_cls: 6.5681, loss: 6.5681 2023-12-31 14:27:23,955 - pyskl - INFO - Epoch [76][500/3746] lr: 4.986e-02, eta: 2 days, 1:34:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3362, top5_acc: 0.5809, loss_cls: 6.5724, loss: 6.5724 2023-12-31 14:28:24,420 - pyskl - INFO - Epoch [76][600/3746] lr: 4.983e-02, eta: 2 days, 1:32:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3292, top5_acc: 0.5813, loss_cls: 6.5599, loss: 6.5599 2023-12-31 14:29:24,933 - pyskl - INFO - Epoch [76][700/3746] lr: 4.980e-02, eta: 2 days, 1:31:49, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5772, loss_cls: 6.5847, loss: 6.5847 2023-12-31 14:30:26,342 - pyskl - INFO - Epoch [76][800/3746] lr: 4.978e-02, eta: 2 days, 1:30:43, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3184, top5_acc: 0.5744, loss_cls: 6.6140, loss: 6.6140 2023-12-31 14:31:27,104 - pyskl - INFO - Epoch [76][900/3746] lr: 4.975e-02, eta: 2 days, 1:29:37, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3187, top5_acc: 0.5834, loss_cls: 6.5992, loss: 6.5992 2023-12-31 14:32:27,464 - pyskl - INFO - Epoch [76][1000/3746] lr: 4.972e-02, eta: 2 days, 1:28:30, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5725, loss_cls: 6.6220, loss: 6.6220 2023-12-31 14:33:27,570 - pyskl - INFO - Epoch [76][1100/3746] lr: 4.969e-02, eta: 2 days, 1:27:23, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3256, top5_acc: 0.5814, loss_cls: 6.6040, loss: 6.6040 2023-12-31 14:34:27,791 - pyskl - INFO - Epoch [76][1200/3746] lr: 4.966e-02, eta: 2 days, 1:26:16, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3248, top5_acc: 0.5758, loss_cls: 6.6134, loss: 6.6134 2023-12-31 14:35:28,044 - pyskl - INFO - Epoch [76][1300/3746] lr: 4.964e-02, eta: 2 days, 1:25:09, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5847, loss_cls: 6.6037, loss: 6.6037 2023-12-31 14:36:28,319 - pyskl - INFO - Epoch [76][1400/3746] lr: 4.961e-02, eta: 2 days, 1:24:02, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3236, top5_acc: 0.5769, loss_cls: 6.5972, loss: 6.5972 2023-12-31 14:37:28,597 - pyskl - INFO - Epoch [76][1500/3746] lr: 4.958e-02, eta: 2 days, 1:22:55, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3236, top5_acc: 0.5847, loss_cls: 6.5693, loss: 6.5693 2023-12-31 14:38:28,916 - pyskl - INFO - Epoch [76][1600/3746] lr: 4.955e-02, eta: 2 days, 1:21:48, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3231, top5_acc: 0.5863, loss_cls: 6.5716, loss: 6.5716 2023-12-31 14:39:29,166 - pyskl - INFO - Epoch [76][1700/3746] lr: 4.953e-02, eta: 2 days, 1:20:41, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5763, loss_cls: 6.5878, loss: 6.5878 2023-12-31 14:40:30,023 - pyskl - INFO - Epoch [76][1800/3746] lr: 4.950e-02, eta: 2 days, 1:19:35, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3245, top5_acc: 0.5800, loss_cls: 6.6032, loss: 6.6032 2023-12-31 14:41:31,581 - pyskl - INFO - Epoch [76][1900/3746] lr: 4.947e-02, eta: 2 days, 1:18:29, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.3195, top5_acc: 0.5713, loss_cls: 6.6545, loss: 6.6545 2023-12-31 14:42:32,375 - pyskl - INFO - Epoch [76][2000/3746] lr: 4.944e-02, eta: 2 days, 1:17:23, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3195, top5_acc: 0.5820, loss_cls: 6.5920, loss: 6.5920 2023-12-31 14:43:32,850 - pyskl - INFO - Epoch [76][2100/3746] lr: 4.941e-02, eta: 2 days, 1:16:16, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3211, top5_acc: 0.5795, loss_cls: 6.6000, loss: 6.6000 2023-12-31 14:44:33,451 - pyskl - INFO - Epoch [76][2200/3746] lr: 4.939e-02, eta: 2 days, 1:15:10, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5716, loss_cls: 6.6328, loss: 6.6328 2023-12-31 14:45:33,975 - pyskl - INFO - Epoch [76][2300/3746] lr: 4.936e-02, eta: 2 days, 1:14:03, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3303, top5_acc: 0.5906, loss_cls: 6.5667, loss: 6.5667 2023-12-31 14:46:34,138 - pyskl - INFO - Epoch [76][2400/3746] lr: 4.933e-02, eta: 2 days, 1:12:56, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5784, loss_cls: 6.6256, loss: 6.6256 2023-12-31 14:47:33,994 - pyskl - INFO - Epoch [76][2500/3746] lr: 4.930e-02, eta: 2 days, 1:11:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3208, top5_acc: 0.5813, loss_cls: 6.6196, loss: 6.6196 2023-12-31 14:48:34,111 - pyskl - INFO - Epoch [76][2600/3746] lr: 4.927e-02, eta: 2 days, 1:10:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3161, top5_acc: 0.5781, loss_cls: 6.5965, loss: 6.5965 2023-12-31 14:49:34,249 - pyskl - INFO - Epoch [76][2700/3746] lr: 4.925e-02, eta: 2 days, 1:09:35, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3166, top5_acc: 0.5855, loss_cls: 6.6063, loss: 6.6063 2023-12-31 14:50:34,551 - pyskl - INFO - Epoch [76][2800/3746] lr: 4.922e-02, eta: 2 days, 1:08:28, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3200, top5_acc: 0.5758, loss_cls: 6.6248, loss: 6.6248 2023-12-31 14:51:34,713 - pyskl - INFO - Epoch [76][2900/3746] lr: 4.919e-02, eta: 2 days, 1:07:21, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3236, top5_acc: 0.5784, loss_cls: 6.5837, loss: 6.5837 2023-12-31 14:52:35,100 - pyskl - INFO - Epoch [76][3000/3746] lr: 4.916e-02, eta: 2 days, 1:06:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5761, loss_cls: 6.5968, loss: 6.5968 2023-12-31 14:53:35,834 - pyskl - INFO - Epoch [76][3100/3746] lr: 4.913e-02, eta: 2 days, 1:05:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3167, top5_acc: 0.5797, loss_cls: 6.6185, loss: 6.6185 2023-12-31 14:54:36,780 - pyskl - INFO - Epoch [76][3200/3746] lr: 4.911e-02, eta: 2 days, 1:04:01, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3212, top5_acc: 0.5748, loss_cls: 6.6135, loss: 6.6135 2023-12-31 14:55:37,295 - pyskl - INFO - Epoch [76][3300/3746] lr: 4.908e-02, eta: 2 days, 1:02:55, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3187, top5_acc: 0.5778, loss_cls: 6.6387, loss: 6.6387 2023-12-31 14:56:38,193 - pyskl - INFO - Epoch [76][3400/3746] lr: 4.905e-02, eta: 2 days, 1:01:49, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3202, top5_acc: 0.5780, loss_cls: 6.5985, loss: 6.5985 2023-12-31 14:57:38,517 - pyskl - INFO - Epoch [76][3500/3746] lr: 4.902e-02, eta: 2 days, 1:00:42, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5758, loss_cls: 6.6059, loss: 6.6059 2023-12-31 14:58:38,686 - pyskl - INFO - Epoch [76][3600/3746] lr: 4.899e-02, eta: 2 days, 0:59:35, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3275, top5_acc: 0.5852, loss_cls: 6.5901, loss: 6.5901 2023-12-31 14:59:38,961 - pyskl - INFO - Epoch [76][3700/3746] lr: 4.897e-02, eta: 2 days, 0:58:28, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5817, loss_cls: 6.6021, loss: 6.6021 2023-12-31 15:00:09,139 - pyskl - INFO - Saving checkpoint at 76 epochs 2023-12-31 15:02:09,456 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 15:02:10,514 - pyskl - INFO - top1_acc 0.2479 top5_acc 0.4882 2023-12-31 15:02:10,514 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 15:02:10,551 - pyskl - INFO - mean_acc 0.2476 2023-12-31 15:02:10,560 - pyskl - INFO - Epoch(val) [76][309] top1_acc: 0.2479, top5_acc: 0.4882, mean_class_accuracy: 0.2476 2023-12-31 15:05:37,533 - pyskl - INFO - Epoch [77][100/3746] lr: 4.893e-02, eta: 2 days, 0:58:46, time: 2.070, data_time: 1.476, memory: 16177, top1_acc: 0.3303, top5_acc: 0.5870, loss_cls: 6.5654, loss: 6.5654 2023-12-31 15:06:37,173 - pyskl - INFO - Epoch [77][200/3746] lr: 4.890e-02, eta: 2 days, 0:57:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5858, loss_cls: 6.5879, loss: 6.5879 2023-12-31 15:07:37,169 - pyskl - INFO - Epoch [77][300/3746] lr: 4.887e-02, eta: 2 days, 0:56:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3275, top5_acc: 0.5956, loss_cls: 6.5339, loss: 6.5339 2023-12-31 15:08:37,529 - pyskl - INFO - Epoch [77][400/3746] lr: 4.884e-02, eta: 2 days, 0:55:25, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3228, top5_acc: 0.5839, loss_cls: 6.5864, loss: 6.5864 2023-12-31 15:09:37,673 - pyskl - INFO - Epoch [77][500/3746] lr: 4.881e-02, eta: 2 days, 0:54:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3352, top5_acc: 0.5936, loss_cls: 6.5491, loss: 6.5491 2023-12-31 15:10:38,369 - pyskl - INFO - Epoch [77][600/3746] lr: 4.879e-02, eta: 2 days, 0:53:11, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3267, top5_acc: 0.5858, loss_cls: 6.5424, loss: 6.5424 2023-12-31 15:11:40,001 - pyskl - INFO - Epoch [77][700/3746] lr: 4.876e-02, eta: 2 days, 0:52:06, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.3286, top5_acc: 0.5858, loss_cls: 6.5662, loss: 6.5662 2023-12-31 15:12:41,249 - pyskl - INFO - Epoch [77][800/3746] lr: 4.873e-02, eta: 2 days, 0:51:00, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3306, top5_acc: 0.5913, loss_cls: 6.5440, loss: 6.5440 2023-12-31 15:13:41,998 - pyskl - INFO - Epoch [77][900/3746] lr: 4.870e-02, eta: 2 days, 0:49:53, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3178, top5_acc: 0.5730, loss_cls: 6.6213, loss: 6.6213 2023-12-31 15:14:42,255 - pyskl - INFO - Epoch [77][1000/3746] lr: 4.867e-02, eta: 2 days, 0:48:46, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3253, top5_acc: 0.5853, loss_cls: 6.5730, loss: 6.5730 2023-12-31 15:15:43,099 - pyskl - INFO - Epoch [77][1100/3746] lr: 4.865e-02, eta: 2 days, 0:47:40, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3239, top5_acc: 0.5858, loss_cls: 6.5392, loss: 6.5392 2023-12-31 15:16:43,084 - pyskl - INFO - Epoch [77][1200/3746] lr: 4.862e-02, eta: 2 days, 0:46:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3209, top5_acc: 0.5733, loss_cls: 6.6271, loss: 6.6271 2023-12-31 15:17:43,309 - pyskl - INFO - Epoch [77][1300/3746] lr: 4.859e-02, eta: 2 days, 0:45:26, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5770, loss_cls: 6.6192, loss: 6.6192 2023-12-31 15:18:43,616 - pyskl - INFO - Epoch [77][1400/3746] lr: 4.856e-02, eta: 2 days, 0:44:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3345, top5_acc: 0.5928, loss_cls: 6.5335, loss: 6.5335 2023-12-31 15:19:44,055 - pyskl - INFO - Epoch [77][1500/3746] lr: 4.853e-02, eta: 2 days, 0:43:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3328, top5_acc: 0.5864, loss_cls: 6.5624, loss: 6.5624 2023-12-31 15:20:44,221 - pyskl - INFO - Epoch [77][1600/3746] lr: 4.851e-02, eta: 2 days, 0:42:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3141, top5_acc: 0.5750, loss_cls: 6.6605, loss: 6.6605 2023-12-31 15:21:44,245 - pyskl - INFO - Epoch [77][1700/3746] lr: 4.848e-02, eta: 2 days, 0:40:59, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5844, loss_cls: 6.5588, loss: 6.5588 2023-12-31 15:22:44,671 - pyskl - INFO - Epoch [77][1800/3746] lr: 4.845e-02, eta: 2 days, 0:39:52, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3244, top5_acc: 0.5827, loss_cls: 6.5815, loss: 6.5815 2023-12-31 15:23:45,552 - pyskl - INFO - Epoch [77][1900/3746] lr: 4.842e-02, eta: 2 days, 0:38:46, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3248, top5_acc: 0.5870, loss_cls: 6.5868, loss: 6.5868 2023-12-31 15:24:46,063 - pyskl - INFO - Epoch [77][2000/3746] lr: 4.839e-02, eta: 2 days, 0:37:39, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3211, top5_acc: 0.5833, loss_cls: 6.6083, loss: 6.6083 2023-12-31 15:25:46,480 - pyskl - INFO - Epoch [77][2100/3746] lr: 4.837e-02, eta: 2 days, 0:36:32, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3295, top5_acc: 0.5908, loss_cls: 6.5785, loss: 6.5785 2023-12-31 15:26:47,299 - pyskl - INFO - Epoch [77][2200/3746] lr: 4.834e-02, eta: 2 days, 0:35:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3209, top5_acc: 0.5864, loss_cls: 6.5820, loss: 6.5820 2023-12-31 15:27:47,098 - pyskl - INFO - Epoch [77][2300/3746] lr: 4.831e-02, eta: 2 days, 0:34:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3348, top5_acc: 0.5927, loss_cls: 6.5432, loss: 6.5432 2023-12-31 15:28:46,899 - pyskl - INFO - Epoch [77][2400/3746] lr: 4.828e-02, eta: 2 days, 0:33:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3337, top5_acc: 0.5889, loss_cls: 6.5458, loss: 6.5458 2023-12-31 15:29:46,808 - pyskl - INFO - Epoch [77][2500/3746] lr: 4.825e-02, eta: 2 days, 0:32:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3202, top5_acc: 0.5842, loss_cls: 6.5899, loss: 6.5899 2023-12-31 15:30:46,990 - pyskl - INFO - Epoch [77][2600/3746] lr: 4.823e-02, eta: 2 days, 0:30:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3256, top5_acc: 0.5814, loss_cls: 6.5963, loss: 6.5963 2023-12-31 15:31:47,417 - pyskl - INFO - Epoch [77][2700/3746] lr: 4.820e-02, eta: 2 days, 0:29:51, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3156, top5_acc: 0.5773, loss_cls: 6.6413, loss: 6.6413 2023-12-31 15:32:47,742 - pyskl - INFO - Epoch [77][2800/3746] lr: 4.817e-02, eta: 2 days, 0:28:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3237, top5_acc: 0.5861, loss_cls: 6.5897, loss: 6.5897 2023-12-31 15:33:47,895 - pyskl - INFO - Epoch [77][2900/3746] lr: 4.814e-02, eta: 2 days, 0:27:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3287, top5_acc: 0.5845, loss_cls: 6.5474, loss: 6.5474 2023-12-31 15:34:48,109 - pyskl - INFO - Epoch [77][3000/3746] lr: 4.811e-02, eta: 2 days, 0:26:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3202, top5_acc: 0.5775, loss_cls: 6.5884, loss: 6.5884 2023-12-31 15:35:48,425 - pyskl - INFO - Epoch [77][3100/3746] lr: 4.809e-02, eta: 2 days, 0:25:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3155, top5_acc: 0.5748, loss_cls: 6.6072, loss: 6.6072 2023-12-31 15:36:48,575 - pyskl - INFO - Epoch [77][3200/3746] lr: 4.806e-02, eta: 2 days, 0:24:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3330, top5_acc: 0.5917, loss_cls: 6.5569, loss: 6.5569 2023-12-31 15:37:48,717 - pyskl - INFO - Epoch [77][3300/3746] lr: 4.803e-02, eta: 2 days, 0:23:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3359, top5_acc: 0.5847, loss_cls: 6.5508, loss: 6.5508 2023-12-31 15:38:49,152 - pyskl - INFO - Epoch [77][3400/3746] lr: 4.800e-02, eta: 2 days, 0:22:03, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3267, top5_acc: 0.5920, loss_cls: 6.5531, loss: 6.5531 2023-12-31 15:39:49,993 - pyskl - INFO - Epoch [77][3500/3746] lr: 4.798e-02, eta: 2 days, 0:20:57, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3233, top5_acc: 0.5720, loss_cls: 6.6272, loss: 6.6272 2023-12-31 15:40:50,950 - pyskl - INFO - Epoch [77][3600/3746] lr: 4.795e-02, eta: 2 days, 0:19:51, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3250, top5_acc: 0.5789, loss_cls: 6.6041, loss: 6.6041 2023-12-31 15:41:51,389 - pyskl - INFO - Epoch [77][3700/3746] lr: 4.792e-02, eta: 2 days, 0:18:45, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5667, loss_cls: 6.6624, loss: 6.6624 2023-12-31 15:42:21,519 - pyskl - INFO - Saving checkpoint at 77 epochs 2023-12-31 15:44:22,576 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 15:44:23,545 - pyskl - INFO - top1_acc 0.2659 top5_acc 0.5125 2023-12-31 15:44:23,545 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 15:44:23,576 - pyskl - INFO - mean_acc 0.2655 2023-12-31 15:44:23,581 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_1/best_top1_acc_epoch_72.pth was removed 2023-12-31 15:44:23,802 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. 2023-12-31 15:44:23,802 - pyskl - INFO - Best top1_acc is 0.2659 at 77 epoch. 2023-12-31 15:44:23,810 - pyskl - INFO - Epoch(val) [77][309] top1_acc: 0.2659, top5_acc: 0.5125, mean_class_accuracy: 0.2655 2023-12-31 15:47:50,332 - pyskl - INFO - Epoch [78][100/3746] lr: 4.788e-02, eta: 2 days, 0:18:59, time: 2.065, data_time: 1.470, memory: 16177, top1_acc: 0.3308, top5_acc: 0.5931, loss_cls: 6.5456, loss: 6.5456 2023-12-31 15:48:50,379 - pyskl - INFO - Epoch [78][200/3746] lr: 4.785e-02, eta: 2 days, 0:17:52, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3294, top5_acc: 0.6045, loss_cls: 6.4896, loss: 6.4896 2023-12-31 15:49:50,557 - pyskl - INFO - Epoch [78][300/3746] lr: 4.782e-02, eta: 2 days, 0:16:46, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3295, top5_acc: 0.5895, loss_cls: 6.5549, loss: 6.5549 2023-12-31 15:50:50,668 - pyskl - INFO - Epoch [78][400/3746] lr: 4.779e-02, eta: 2 days, 0:15:39, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3178, top5_acc: 0.5855, loss_cls: 6.6032, loss: 6.6032 2023-12-31 15:51:50,675 - pyskl - INFO - Epoch [78][500/3746] lr: 4.777e-02, eta: 2 days, 0:14:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3339, top5_acc: 0.5922, loss_cls: 6.5338, loss: 6.5338 2023-12-31 15:52:51,705 - pyskl - INFO - Epoch [78][600/3746] lr: 4.774e-02, eta: 2 days, 0:13:25, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5877, loss_cls: 6.5778, loss: 6.5778 2023-12-31 15:53:53,010 - pyskl - INFO - Epoch [78][700/3746] lr: 4.771e-02, eta: 2 days, 0:12:20, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3197, top5_acc: 0.5833, loss_cls: 6.5855, loss: 6.5855 2023-12-31 15:54:53,055 - pyskl - INFO - Epoch [78][800/3746] lr: 4.768e-02, eta: 2 days, 0:11:13, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3281, top5_acc: 0.5839, loss_cls: 6.5873, loss: 6.5873