2023-12-29 09:34:04,222 - 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 09:34:05,268 - pyskl - INFO - Config: modality = 'b' graph = 'coco_new' work_dir = './work_dirs/test_prototype/k400/b_3' 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 09:34:05,269 - pyskl - INFO - Set random seed to 2110361153, deterministic: False 2023-12-29 09:34:14,534 - pyskl - INFO - 239737 videos remain after valid thresholding 2023-12-29 09:34:27,833 - pyskl - INFO - 19743 videos remain after valid thresholding 2023-12-29 09:34:27,835 - pyskl - INFO - Start running, host: hao.wang@gdp, work_dir: /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3 2023-12-29 09:34:27,843 - 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 09:34:27,861 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2023-12-29 09:34:27,862 - pyskl - INFO - Checkpoints will be saved to /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3 by HardDiskBackend. 2023-12-29 09:37:40,032 - pyskl - INFO - Epoch [1][100/3746] lr: 1.000e-01, eta: 12 days, 11:52:48, time: 1.922, data_time: 1.308, memory: 16177, top1_acc: 0.0094, top5_acc: 0.0414, loss_cls: 9.4625, loss: 9.4625 2023-12-29 09:38:40,440 - pyskl - INFO - Epoch [1][200/3746] lr: 1.000e-01, eta: 8 days, 5:02:20, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.0138, top5_acc: 0.0570, loss_cls: 9.1621, loss: 9.1621 2023-12-29 09:39:41,141 - pyskl - INFO - Epoch [1][300/3746] lr: 1.000e-01, eta: 6 days, 18:53:59, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.0208, top5_acc: 0.0850, loss_cls: 9.0394, loss: 9.0394 2023-12-29 09:40:42,031 - pyskl - INFO - Epoch [1][400/3746] lr: 1.000e-01, eta: 6 days, 1:53:44, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.0234, top5_acc: 0.0944, loss_cls: 8.8810, loss: 8.8810 2023-12-29 09:41:42,958 - pyskl - INFO - Epoch [1][500/3746] lr: 1.000e-01, eta: 5 days, 15:41:49, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.0297, top5_acc: 0.1092, loss_cls: 8.8752, loss: 8.8752 2023-12-29 09:42:44,002 - pyskl - INFO - Epoch [1][600/3746] lr: 1.000e-01, eta: 5 days, 8:55:25, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.0291, top5_acc: 0.1111, loss_cls: 9.0077, loss: 9.0077 2023-12-29 09:43:44,716 - pyskl - INFO - Epoch [1][700/3746] lr: 1.000e-01, eta: 5 days, 4:00:25, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.0320, top5_acc: 0.1202, loss_cls: 9.3120, loss: 9.3120 2023-12-29 09:44:44,919 - pyskl - INFO - Epoch [1][800/3746] lr: 1.000e-01, eta: 5 days, 0:12:56, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.0372, top5_acc: 0.1355, loss_cls: 9.7193, loss: 9.7193 2023-12-29 09:45:45,022 - pyskl - INFO - Epoch [1][900/3746] lr: 1.000e-01, eta: 4 days, 21:14:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.0459, top5_acc: 0.1572, loss_cls: 9.6597, loss: 9.6597 2023-12-29 09:46:45,056 - pyskl - INFO - Epoch [1][1000/3746] lr: 1.000e-01, eta: 4 days, 18:51:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.0441, top5_acc: 0.1531, loss_cls: 9.8492, loss: 9.8492 2023-12-29 09:47:45,851 - pyskl - INFO - Epoch [1][1100/3746] lr: 1.000e-01, eta: 4 days, 17:00:18, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.0480, top5_acc: 0.1747, loss_cls: 9.9547, loss: 9.9547 2023-12-29 09:48:47,037 - pyskl - INFO - Epoch [1][1200/3746] lr: 1.000e-01, eta: 4 days, 15:30:39, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.0445, top5_acc: 0.1594, loss_cls: 10.0889, loss: 10.0889 2023-12-29 09:49:47,947 - pyskl - INFO - Epoch [1][1300/3746] lr: 1.000e-01, eta: 4 days, 14:12:38, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.0539, top5_acc: 0.1859, loss_cls: 10.0954, loss: 10.0954 2023-12-29 09:50:49,010 - pyskl - INFO - Epoch [1][1400/3746] lr: 1.000e-01, eta: 4 days, 13:06:39, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.0611, top5_acc: 0.1898, loss_cls: 10.0820, loss: 10.0820 2023-12-29 09:51:50,270 - pyskl - INFO - Epoch [1][1500/3746] lr: 1.000e-01, eta: 4 days, 12:10:32, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.0656, top5_acc: 0.1953, loss_cls: 10.0397, loss: 10.0397 2023-12-29 09:52:51,231 - pyskl - INFO - Epoch [1][1600/3746] lr: 1.000e-01, eta: 4 days, 11:19:36, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.0663, top5_acc: 0.1930, loss_cls: 9.8418, loss: 9.8418 2023-12-29 09:53:51,639 - pyskl - INFO - Epoch [1][1700/3746] lr: 1.000e-01, eta: 4 days, 10:31:28, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.0672, top5_acc: 0.2086, loss_cls: 9.7712, loss: 9.7712 2023-12-29 09:54:51,975 - pyskl - INFO - Epoch [1][1800/3746] lr: 1.000e-01, eta: 4 days, 9:48:13, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.0727, top5_acc: 0.2183, loss_cls: 9.6914, loss: 9.6914 2023-12-29 09:55:51,946 - pyskl - INFO - Epoch [1][1900/3746] lr: 1.000e-01, eta: 4 days, 9:07:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.0725, top5_acc: 0.2211, loss_cls: 9.7221, loss: 9.7221 2023-12-29 09:56:51,999 - pyskl - INFO - Epoch [1][2000/3746] lr: 1.000e-01, eta: 4 days, 8:31:21, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.0730, top5_acc: 0.2172, loss_cls: 9.6378, loss: 9.6378 2023-12-29 09:57:52,408 - pyskl - INFO - Epoch [1][2100/3746] lr: 1.000e-01, eta: 4 days, 8:00:02, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.0770, top5_acc: 0.2239, loss_cls: 9.5898, loss: 9.5898 2023-12-29 09:58:53,145 - pyskl - INFO - Epoch [1][2200/3746] lr: 1.000e-01, eta: 4 days, 7:32:51, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.0759, top5_acc: 0.2291, loss_cls: 9.5192, loss: 9.5192 2023-12-29 09:59:54,315 - pyskl - INFO - Epoch [1][2300/3746] lr: 1.000e-01, eta: 4 days, 7:09:43, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.0838, top5_acc: 0.2398, loss_cls: 9.3857, loss: 9.3857 2023-12-29 10:00:55,349 - pyskl - INFO - Epoch [1][2400/3746] lr: 1.000e-01, eta: 4 days, 6:47:53, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.0870, top5_acc: 0.2464, loss_cls: 9.3038, loss: 9.3038 2023-12-29 10:01:56,357 - pyskl - INFO - Epoch [1][2500/3746] lr: 1.000e-01, eta: 4 days, 6:27:38, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.0838, top5_acc: 0.2505, loss_cls: 9.2591, loss: 9.2591 2023-12-29 10:02:57,348 - pyskl - INFO - Epoch [1][2600/3746] lr: 9.999e-02, eta: 4 days, 6:08:47, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.0883, top5_acc: 0.2548, loss_cls: 9.2258, loss: 9.2258 2023-12-29 10:03:58,202 - pyskl - INFO - Epoch [1][2700/3746] lr: 9.999e-02, eta: 4 days, 5:50:48, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.0900, top5_acc: 0.2567, loss_cls: 9.2029, loss: 9.2029 2023-12-29 10:04:58,762 - pyskl - INFO - Epoch [1][2800/3746] lr: 9.999e-02, eta: 4 days, 5:33:02, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1017, top5_acc: 0.2670, loss_cls: 9.0826, loss: 9.0826 2023-12-29 10:05:58,689 - pyskl - INFO - Epoch [1][2900/3746] lr: 9.999e-02, eta: 4 days, 5:14:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.0984, top5_acc: 0.2655, loss_cls: 9.0354, loss: 9.0354 2023-12-29 10:06:58,826 - pyskl - INFO - Epoch [1][3000/3746] lr: 9.999e-02, eta: 4 days, 4:57:35, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.1000, top5_acc: 0.2642, loss_cls: 9.0236, loss: 9.0236 2023-12-29 10:07:59,919 - pyskl - INFO - Epoch [1][3100/3746] lr: 9.999e-02, eta: 4 days, 4:44:40, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.1098, top5_acc: 0.2897, loss_cls: 8.9108, loss: 8.9108 2023-12-29 10:09:00,640 - pyskl - INFO - Epoch [1][3200/3746] lr: 9.999e-02, eta: 4 days, 4:31:25, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.1075, top5_acc: 0.2855, loss_cls: 8.9167, loss: 8.9167 2023-12-29 10:10:00,783 - pyskl - INFO - Epoch [1][3300/3746] lr: 9.999e-02, eta: 4 days, 4:17:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.1066, top5_acc: 0.2791, loss_cls: 8.8376, loss: 8.8376 2023-12-29 10:11:00,590 - pyskl - INFO - Epoch [1][3400/3746] lr: 9.999e-02, eta: 4 days, 4:02:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1150, top5_acc: 0.2945, loss_cls: 8.7886, loss: 8.7886 2023-12-29 10:12:00,785 - pyskl - INFO - Epoch [1][3500/3746] lr: 9.999e-02, eta: 4 days, 3:50:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.1092, top5_acc: 0.3039, loss_cls: 8.7690, loss: 8.7690 2023-12-29 10:13:01,466 - pyskl - INFO - Epoch [1][3600/3746] lr: 9.999e-02, eta: 4 days, 3:39:53, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.1125, top5_acc: 0.2952, loss_cls: 8.6615, loss: 8.6615 2023-12-29 10:14:02,853 - pyskl - INFO - Epoch [1][3700/3746] lr: 9.999e-02, eta: 4 days, 3:31:34, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.1173, top5_acc: 0.3133, loss_cls: 8.6865, loss: 8.6865 2023-12-29 10:14:34,201 - pyskl - INFO - Saving checkpoint at 1 epochs 2023-12-29 10:16:36,564 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 10:16:37,401 - pyskl - INFO - top1_acc 0.0574 top5_acc 0.1744 2023-12-29 10:16:37,401 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 10:16:37,431 - pyskl - INFO - mean_acc 0.0574 2023-12-29 10:16:37,827 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2023-12-29 10:16:37,827 - pyskl - INFO - Best top1_acc is 0.0574 at 1 epoch. 2023-12-29 10:16:37,836 - pyskl - INFO - Epoch(val) [1][309] top1_acc: 0.0574, top5_acc: 0.1744, mean_class_accuracy: 0.0574 2023-12-29 10:19:57,069 - pyskl - INFO - Epoch [2][100/3746] lr: 9.999e-02, eta: 4 days, 7:45:10, time: 1.992, data_time: 1.398, memory: 16177, top1_acc: 0.1158, top5_acc: 0.3042, loss_cls: 8.6803, loss: 8.6803 2023-12-29 10:20:57,052 - pyskl - INFO - Epoch [2][200/3746] lr: 9.999e-02, eta: 4 days, 7:27:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.1195, top5_acc: 0.3139, loss_cls: 8.6211, loss: 8.6211 2023-12-29 10:21:56,781 - pyskl - INFO - Epoch [2][300/3746] lr: 9.999e-02, eta: 4 days, 7:10:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1261, top5_acc: 0.3228, loss_cls: 8.5608, loss: 8.5608 2023-12-29 10:22:56,537 - pyskl - INFO - Epoch [2][400/3746] lr: 9.999e-02, eta: 4 days, 6:54:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1294, top5_acc: 0.3247, loss_cls: 8.5312, loss: 8.5312 2023-12-29 10:23:56,187 - pyskl - INFO - Epoch [2][500/3746] lr: 9.999e-02, eta: 4 days, 6:38:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.1247, top5_acc: 0.3225, loss_cls: 8.4929, loss: 8.4929 2023-12-29 10:24:55,912 - pyskl - INFO - Epoch [2][600/3746] lr: 9.999e-02, eta: 4 days, 6:23:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1255, top5_acc: 0.3227, loss_cls: 8.4478, loss: 8.4478 2023-12-29 10:25:56,701 - pyskl - INFO - Epoch [2][700/3746] lr: 9.998e-02, eta: 4 days, 6:10:47, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.1331, top5_acc: 0.3266, loss_cls: 8.4616, loss: 8.4616 2023-12-29 10:26:57,259 - pyskl - INFO - Epoch [2][800/3746] lr: 9.998e-02, eta: 4 days, 5:58:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1412, top5_acc: 0.3430, loss_cls: 8.4006, loss: 8.4006 2023-12-29 10:27:57,863 - pyskl - INFO - Epoch [2][900/3746] lr: 9.998e-02, eta: 4 days, 5:46:58, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1342, top5_acc: 0.3467, loss_cls: 8.3612, loss: 8.3612 2023-12-29 10:28:58,380 - pyskl - INFO - Epoch [2][1000/3746] lr: 9.998e-02, eta: 4 days, 5:35:37, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.1366, top5_acc: 0.3438, loss_cls: 8.3643, loss: 8.3643 2023-12-29 10:29:59,505 - pyskl - INFO - Epoch [2][1100/3746] lr: 9.998e-02, eta: 4 days, 5:25:52, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.1503, top5_acc: 0.3436, loss_cls: 8.3239, loss: 8.3239 2023-12-29 10:30:59,504 - pyskl - INFO - Epoch [2][1200/3746] lr: 9.998e-02, eta: 4 days, 5:14:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.1458, top5_acc: 0.3567, loss_cls: 8.2688, loss: 8.2688 2023-12-29 10:31:59,440 - pyskl - INFO - Epoch [2][1300/3746] lr: 9.998e-02, eta: 4 days, 5:03:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1467, top5_acc: 0.3488, loss_cls: 8.2467, loss: 8.2467 2023-12-29 10:32:59,353 - pyskl - INFO - Epoch [2][1400/3746] lr: 9.998e-02, eta: 4 days, 4:52:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1489, top5_acc: 0.3614, loss_cls: 8.2406, loss: 8.2406 2023-12-29 10:33:59,059 - pyskl - INFO - Epoch [2][1500/3746] lr: 9.998e-02, eta: 4 days, 4:41:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1439, top5_acc: 0.3658, loss_cls: 8.1805, loss: 8.1805 2023-12-29 10:34:58,811 - pyskl - INFO - Epoch [2][1600/3746] lr: 9.998e-02, eta: 4 days, 4:31:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1559, top5_acc: 0.3742, loss_cls: 8.1353, loss: 8.1353 2023-12-29 10:35:58,417 - pyskl - INFO - Epoch [2][1700/3746] lr: 9.998e-02, eta: 4 days, 4:20:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.1572, top5_acc: 0.3725, loss_cls: 8.2255, loss: 8.2255 2023-12-29 10:36:58,079 - pyskl - INFO - Epoch [2][1800/3746] lr: 9.998e-02, eta: 4 days, 4:10:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1577, top5_acc: 0.3803, loss_cls: 8.1265, loss: 8.1265 2023-12-29 10:37:58,806 - pyskl - INFO - Epoch [2][1900/3746] lr: 9.998e-02, eta: 4 days, 4:03:03, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.1536, top5_acc: 0.3659, loss_cls: 8.1249, loss: 8.1249 2023-12-29 10:38:58,764 - pyskl - INFO - Epoch [2][2000/3746] lr: 9.997e-02, eta: 4 days, 3:54:14, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.1608, top5_acc: 0.3742, loss_cls: 8.0835, loss: 8.0835 2023-12-29 10:39:58,491 - pyskl - INFO - Epoch [2][2100/3746] lr: 9.997e-02, eta: 4 days, 3:45:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1562, top5_acc: 0.3756, loss_cls: 8.0775, loss: 8.0775 2023-12-29 10:40:58,481 - pyskl - INFO - Epoch [2][2200/3746] lr: 9.997e-02, eta: 4 days, 3:37:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.1592, top5_acc: 0.3767, loss_cls: 8.0456, loss: 8.0456 2023-12-29 10:41:58,830 - pyskl - INFO - Epoch [2][2300/3746] lr: 9.997e-02, eta: 4 days, 3:29:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.1645, top5_acc: 0.3833, loss_cls: 8.0406, loss: 8.0406 2023-12-29 10:42:59,435 - pyskl - INFO - Epoch [2][2400/3746] lr: 9.997e-02, eta: 4 days, 3:22:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1603, top5_acc: 0.3856, loss_cls: 8.0282, loss: 8.0282 2023-12-29 10:44:00,091 - pyskl - INFO - Epoch [2][2500/3746] lr: 9.997e-02, eta: 4 days, 3:16:12, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.1705, top5_acc: 0.3922, loss_cls: 7.9642, loss: 7.9642 2023-12-29 10:45:00,693 - pyskl - INFO - Epoch [2][2600/3746] lr: 9.997e-02, eta: 4 days, 3:09:42, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1716, top5_acc: 0.3833, loss_cls: 7.9867, loss: 7.9867 2023-12-29 10:46:01,489 - pyskl - INFO - Epoch [2][2700/3746] lr: 9.997e-02, eta: 4 days, 3:03:39, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.1672, top5_acc: 0.3903, loss_cls: 7.9544, loss: 7.9544 2023-12-29 10:47:02,075 - pyskl - INFO - Epoch [2][2800/3746] lr: 9.997e-02, eta: 4 days, 2:57:28, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1744, top5_acc: 0.3948, loss_cls: 7.9383, loss: 7.9383 2023-12-29 10:48:02,176 - pyskl - INFO - Epoch [2][2900/3746] lr: 9.997e-02, eta: 4 days, 2:50:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.1764, top5_acc: 0.3977, loss_cls: 7.9103, loss: 7.9103 2023-12-29 10:49:03,009 - pyskl - INFO - Epoch [2][3000/3746] lr: 9.996e-02, eta: 4 days, 2:45:14, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.1737, top5_acc: 0.3956, loss_cls: 7.9410, loss: 7.9410 2023-12-29 10:50:03,376 - pyskl - INFO - Epoch [2][3100/3746] lr: 9.996e-02, eta: 4 days, 2:39:12, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.1645, top5_acc: 0.3880, loss_cls: 7.9406, loss: 7.9406 2023-12-29 10:51:03,946 - pyskl - INFO - Epoch [2][3200/3746] lr: 9.996e-02, eta: 4 days, 2:33:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1867, top5_acc: 0.4089, loss_cls: 7.8194, loss: 7.8194 2023-12-29 10:52:04,504 - pyskl - INFO - Epoch [2][3300/3746] lr: 9.996e-02, eta: 4 days, 2:28:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1780, top5_acc: 0.4053, loss_cls: 7.8085, loss: 7.8085 2023-12-29 10:53:04,169 - pyskl - INFO - Epoch [2][3400/3746] lr: 9.996e-02, eta: 4 days, 2:21:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1736, top5_acc: 0.3973, loss_cls: 7.8951, loss: 7.8951 2023-12-29 10:54:04,531 - pyskl - INFO - Epoch [2][3500/3746] lr: 9.996e-02, eta: 4 days, 2:16:04, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.1827, top5_acc: 0.4056, loss_cls: 7.8212, loss: 7.8212 2023-12-29 10:55:05,079 - pyskl - INFO - Epoch [2][3600/3746] lr: 9.996e-02, eta: 4 days, 2:10:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.1825, top5_acc: 0.4148, loss_cls: 7.7929, loss: 7.7929 2023-12-29 10:56:05,649 - pyskl - INFO - Epoch [2][3700/3746] lr: 9.996e-02, eta: 4 days, 2:05:56, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1812, top5_acc: 0.3998, loss_cls: 7.8452, loss: 7.8452 2023-12-29 10:56:36,616 - pyskl - INFO - Saving checkpoint at 2 epochs 2023-12-29 10:58:42,399 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 10:58:43,232 - pyskl - INFO - top1_acc 0.1178 top5_acc 0.3140 2023-12-29 10:58:43,232 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 10:58:43,277 - pyskl - INFO - mean_acc 0.1175 2023-12-29 10:58:43,286 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_1.pth was removed 2023-12-29 10:58:43,548 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2023-12-29 10:58:43,548 - pyskl - INFO - Best top1_acc is 0.1178 at 2 epoch. 2023-12-29 10:58:43,559 - pyskl - INFO - Epoch(val) [2][309] top1_acc: 0.1178, top5_acc: 0.3140, mean_class_accuracy: 0.1175 2023-12-29 11:01:53,535 - pyskl - INFO - Epoch [3][100/3746] lr: 9.995e-02, eta: 4 days, 4:02:24, time: 1.900, data_time: 1.309, memory: 16177, top1_acc: 0.1925, top5_acc: 0.4127, loss_cls: 7.7660, loss: 7.7660 2023-12-29 11:02:53,163 - pyskl - INFO - Epoch [3][200/3746] lr: 9.995e-02, eta: 4 days, 3:54:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.1800, top5_acc: 0.3981, loss_cls: 7.7888, loss: 7.7888 2023-12-29 11:03:52,865 - pyskl - INFO - Epoch [3][300/3746] lr: 9.995e-02, eta: 4 days, 3:47:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1852, top5_acc: 0.4208, loss_cls: 7.7377, loss: 7.7377 2023-12-29 11:04:53,024 - pyskl - INFO - Epoch [3][400/3746] lr: 9.995e-02, eta: 4 days, 3:41:05, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.1959, top5_acc: 0.4173, loss_cls: 7.7197, loss: 7.7197 2023-12-29 11:05:53,807 - pyskl - INFO - Epoch [3][500/3746] lr: 9.995e-02, eta: 4 days, 3:35:24, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.1959, top5_acc: 0.4294, loss_cls: 7.6713, loss: 7.6713 2023-12-29 11:06:54,829 - pyskl - INFO - Epoch [3][600/3746] lr: 9.995e-02, eta: 4 days, 3:30:05, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.1862, top5_acc: 0.4247, loss_cls: 7.7427, loss: 7.7427 2023-12-29 11:07:55,443 - pyskl - INFO - Epoch [3][700/3746] lr: 9.995e-02, eta: 4 days, 3:24:26, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1842, top5_acc: 0.4203, loss_cls: 7.7296, loss: 7.7296 2023-12-29 11:08:56,383 - pyskl - INFO - Epoch [3][800/3746] lr: 9.995e-02, eta: 4 days, 3:19:15, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.1886, top5_acc: 0.4183, loss_cls: 7.6964, loss: 7.6964 2023-12-29 11:09:56,766 - pyskl - INFO - Epoch [3][900/3746] lr: 9.994e-02, eta: 4 days, 3:13:33, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.1958, top5_acc: 0.4259, loss_cls: 7.6617, loss: 7.6617 2023-12-29 11:10:56,627 - pyskl - INFO - Epoch [3][1000/3746] lr: 9.994e-02, eta: 4 days, 3:07:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1986, top5_acc: 0.4252, loss_cls: 7.6948, loss: 7.6948 2023-12-29 11:11:57,252 - pyskl - INFO - Epoch [3][1100/3746] lr: 9.994e-02, eta: 4 days, 3:02:11, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1956, top5_acc: 0.4269, loss_cls: 7.6690, loss: 7.6690 2023-12-29 11:12:58,359 - pyskl - INFO - Epoch [3][1200/3746] lr: 9.994e-02, eta: 4 days, 2:57:34, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.1908, top5_acc: 0.4300, loss_cls: 7.6444, loss: 7.6444 2023-12-29 11:13:59,319 - pyskl - INFO - Epoch [3][1300/3746] lr: 9.994e-02, eta: 4 days, 2:52:53, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.1964, top5_acc: 0.4294, loss_cls: 7.6258, loss: 7.6258 2023-12-29 11:14:59,205 - pyskl - INFO - Epoch [3][1400/3746] lr: 9.994e-02, eta: 4 days, 2:47:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1938, top5_acc: 0.4383, loss_cls: 7.5976, loss: 7.5976 2023-12-29 11:15:59,017 - pyskl - INFO - Epoch [3][1500/3746] lr: 9.994e-02, eta: 4 days, 2:41:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1959, top5_acc: 0.4239, loss_cls: 7.5986, loss: 7.5986 2023-12-29 11:16:59,251 - pyskl - INFO - Epoch [3][1600/3746] lr: 9.994e-02, eta: 4 days, 2:36:21, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.1975, top5_acc: 0.4303, loss_cls: 7.6204, loss: 7.6204 2023-12-29 11:17:59,513 - pyskl - INFO - Epoch [3][1700/3746] lr: 9.993e-02, eta: 4 days, 2:31:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2031, top5_acc: 0.4448, loss_cls: 7.5761, loss: 7.5761 2023-12-29 11:18:59,573 - pyskl - INFO - Epoch [3][1800/3746] lr: 9.993e-02, eta: 4 days, 2:26:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.1933, top5_acc: 0.4345, loss_cls: 7.5975, loss: 7.5975 2023-12-29 11:19:59,593 - pyskl - INFO - Epoch [3][1900/3746] lr: 9.993e-02, eta: 4 days, 2:21:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.1964, top5_acc: 0.4216, loss_cls: 7.6251, loss: 7.6251 2023-12-29 11:20:59,511 - pyskl - INFO - Epoch [3][2000/3746] lr: 9.993e-02, eta: 4 days, 2:15:58, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2031, top5_acc: 0.4378, loss_cls: 7.5687, loss: 7.5687 2023-12-29 11:22:00,094 - pyskl - INFO - Epoch [3][2100/3746] lr: 9.993e-02, eta: 4 days, 2:11:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2022, top5_acc: 0.4331, loss_cls: 7.5799, loss: 7.5799 2023-12-29 11:23:00,697 - pyskl - INFO - Epoch [3][2200/3746] lr: 9.993e-02, eta: 4 days, 2:07:17, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2023, top5_acc: 0.4361, loss_cls: 7.5746, loss: 7.5746 2023-12-29 11:24:00,544 - pyskl - INFO - Epoch [3][2300/3746] lr: 9.993e-02, eta: 4 days, 2:02:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2003, top5_acc: 0.4308, loss_cls: 7.5844, loss: 7.5844 2023-12-29 11:25:01,417 - pyskl - INFO - Epoch [3][2400/3746] lr: 9.992e-02, eta: 4 days, 1:58:26, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.1992, top5_acc: 0.4286, loss_cls: 7.5821, loss: 7.5821 2023-12-29 11:26:02,135 - pyskl - INFO - Epoch [3][2500/3746] lr: 9.992e-02, eta: 4 days, 1:54:27, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2056, top5_acc: 0.4403, loss_cls: 7.5915, loss: 7.5915 2023-12-29 11:27:03,066 - pyskl - INFO - Epoch [3][2600/3746] lr: 9.992e-02, eta: 4 days, 1:50:42, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2022, top5_acc: 0.4375, loss_cls: 7.5676, loss: 7.5676 2023-12-29 11:28:03,914 - pyskl - INFO - Epoch [3][2700/3746] lr: 9.992e-02, eta: 4 days, 1:46:57, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2044, top5_acc: 0.4314, loss_cls: 7.5890, loss: 7.5890 2023-12-29 11:29:04,811 - pyskl - INFO - Epoch [3][2800/3746] lr: 9.992e-02, eta: 4 days, 1:43:17, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2083, top5_acc: 0.4383, loss_cls: 7.5104, loss: 7.5104 2023-12-29 11:30:05,349 - pyskl - INFO - Epoch [3][2900/3746] lr: 9.992e-02, eta: 4 days, 1:39:21, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2016, top5_acc: 0.4370, loss_cls: 7.5485, loss: 7.5485 2023-12-29 11:31:05,628 - pyskl - INFO - Epoch [3][3000/3746] lr: 9.991e-02, eta: 4 days, 1:35:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2016, top5_acc: 0.4439, loss_cls: 7.5438, loss: 7.5438 2023-12-29 11:32:05,945 - pyskl - INFO - Epoch [3][3100/3746] lr: 9.991e-02, eta: 4 days, 1:31:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2019, top5_acc: 0.4394, loss_cls: 7.4993, loss: 7.4993 2023-12-29 11:33:05,869 - pyskl - INFO - Epoch [3][3200/3746] lr: 9.991e-02, eta: 4 days, 1:26:57, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2052, top5_acc: 0.4331, loss_cls: 7.5599, loss: 7.5599 2023-12-29 11:34:06,143 - pyskl - INFO - Epoch [3][3300/3746] lr: 9.991e-02, eta: 4 days, 1:23:01, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2022, top5_acc: 0.4273, loss_cls: 7.5858, loss: 7.5858 2023-12-29 11:35:06,502 - pyskl - INFO - Epoch [3][3400/3746] lr: 9.991e-02, eta: 4 days, 1:19:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2083, top5_acc: 0.4497, loss_cls: 7.4945, loss: 7.4945 2023-12-29 11:36:06,550 - pyskl - INFO - Epoch [3][3500/3746] lr: 9.991e-02, eta: 4 days, 1:15:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2013, top5_acc: 0.4411, loss_cls: 7.4910, loss: 7.4910 2023-12-29 11:37:06,678 - pyskl - INFO - Epoch [3][3600/3746] lr: 9.990e-02, eta: 4 days, 1:11:19, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.1992, top5_acc: 0.4458, loss_cls: 7.5636, loss: 7.5636 2023-12-29 11:38:07,087 - pyskl - INFO - Epoch [3][3700/3746] lr: 9.990e-02, eta: 4 days, 1:07:42, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2014, top5_acc: 0.4391, loss_cls: 7.5208, loss: 7.5208 2023-12-29 11:38:37,801 - pyskl - INFO - Saving checkpoint at 3 epochs 2023-12-29 11:40:39,835 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 11:40:40,660 - pyskl - INFO - top1_acc 0.1454 top5_acc 0.3452 2023-12-29 11:40:40,661 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 11:40:40,692 - pyskl - INFO - mean_acc 0.1453 2023-12-29 11:40:40,697 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_2.pth was removed 2023-12-29 11:40:41,059 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2023-12-29 11:40:41,060 - pyskl - INFO - Best top1_acc is 0.1454 at 3 epoch. 2023-12-29 11:40:41,066 - pyskl - INFO - Epoch(val) [3][309] top1_acc: 0.1454, top5_acc: 0.3452, mean_class_accuracy: 0.1453 2023-12-29 11:43:49,747 - pyskl - INFO - Epoch [4][100/3746] lr: 9.990e-02, eta: 4 days, 2:23:50, time: 1.887, data_time: 1.296, memory: 16177, top1_acc: 0.2200, top5_acc: 0.4483, loss_cls: 7.4383, loss: 7.4383 2023-12-29 11:44:49,410 - pyskl - INFO - Epoch [4][200/3746] lr: 9.990e-02, eta: 4 days, 2:19:00, time: 0.597, data_time: 0.001, memory: 16177, top1_acc: 0.2116, top5_acc: 0.4466, loss_cls: 7.4845, loss: 7.4845 2023-12-29 11:45:49,340 - pyskl - INFO - Epoch [4][300/3746] lr: 9.990e-02, eta: 4 days, 2:14:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2180, top5_acc: 0.4461, loss_cls: 7.4644, loss: 7.4644 2023-12-29 11:46:48,758 - pyskl - INFO - Epoch [4][400/3746] lr: 9.989e-02, eta: 4 days, 2:09:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2092, top5_acc: 0.4466, loss_cls: 7.4791, loss: 7.4791 2023-12-29 11:47:48,702 - pyskl - INFO - Epoch [4][500/3746] lr: 9.989e-02, eta: 4 days, 2:05:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2247, top5_acc: 0.4661, loss_cls: 7.3547, loss: 7.3547 2023-12-29 11:48:49,032 - pyskl - INFO - Epoch [4][600/3746] lr: 9.989e-02, eta: 4 days, 2:01:06, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2067, top5_acc: 0.4475, loss_cls: 7.4838, loss: 7.4838 2023-12-29 11:49:49,876 - pyskl - INFO - Epoch [4][700/3746] lr: 9.989e-02, eta: 4 days, 1:57:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2186, top5_acc: 0.4577, loss_cls: 7.4438, loss: 7.4438 2023-12-29 11:50:50,373 - pyskl - INFO - Epoch [4][800/3746] lr: 9.989e-02, eta: 4 days, 1:53:40, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2111, top5_acc: 0.4434, loss_cls: 7.4557, loss: 7.4557 2023-12-29 11:51:50,061 - pyskl - INFO - Epoch [4][900/3746] lr: 9.988e-02, eta: 4 days, 1:49:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2078, top5_acc: 0.4492, loss_cls: 7.4419, loss: 7.4419 2023-12-29 11:52:50,211 - pyskl - INFO - Epoch [4][1000/3746] lr: 9.988e-02, eta: 4 days, 1:45:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2011, top5_acc: 0.4511, loss_cls: 7.4876, loss: 7.4876 2023-12-29 11:53:50,703 - pyskl - INFO - Epoch [4][1100/3746] lr: 9.988e-02, eta: 4 days, 1:41:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2181, top5_acc: 0.4569, loss_cls: 7.4153, loss: 7.4153 2023-12-29 11:54:51,305 - pyskl - INFO - Epoch [4][1200/3746] lr: 9.988e-02, eta: 4 days, 1:38:01, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2100, top5_acc: 0.4495, loss_cls: 7.4567, loss: 7.4567 2023-12-29 11:55:51,072 - pyskl - INFO - Epoch [4][1300/3746] lr: 9.988e-02, eta: 4 days, 1:33:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2117, top5_acc: 0.4456, loss_cls: 7.4440, loss: 7.4440 2023-12-29 11:56:50,984 - pyskl - INFO - Epoch [4][1400/3746] lr: 9.988e-02, eta: 4 days, 1:29:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2206, top5_acc: 0.4573, loss_cls: 7.3710, loss: 7.3710 2023-12-29 11:57:51,362 - pyskl - INFO - Epoch [4][1500/3746] lr: 9.987e-02, eta: 4 days, 1:26:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2170, top5_acc: 0.4606, loss_cls: 7.4215, loss: 7.4215 2023-12-29 11:58:51,525 - pyskl - INFO - Epoch [4][1600/3746] lr: 9.987e-02, eta: 4 days, 1:22:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2159, top5_acc: 0.4569, loss_cls: 7.4439, loss: 7.4439 2023-12-29 11:59:51,507 - pyskl - INFO - Epoch [4][1700/3746] lr: 9.987e-02, eta: 4 days, 1:18:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2230, top5_acc: 0.4625, loss_cls: 7.4287, loss: 7.4287 2023-12-29 12:00:51,670 - pyskl - INFO - Epoch [4][1800/3746] lr: 9.987e-02, eta: 4 days, 1:15:10, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2184, top5_acc: 0.4612, loss_cls: 7.3580, loss: 7.3580 2023-12-29 12:01:52,192 - pyskl - INFO - Epoch [4][1900/3746] lr: 9.987e-02, eta: 4 days, 1:11:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2109, top5_acc: 0.4494, loss_cls: 7.4152, loss: 7.4152 2023-12-29 12:02:51,718 - pyskl - INFO - Epoch [4][2000/3746] lr: 9.986e-02, eta: 4 days, 1:07:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2152, top5_acc: 0.4514, loss_cls: 7.3568, loss: 7.3568 2023-12-29 12:03:51,838 - pyskl - INFO - Epoch [4][2100/3746] lr: 9.986e-02, eta: 4 days, 1:04:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2125, top5_acc: 0.4534, loss_cls: 7.4030, loss: 7.4030 2023-12-29 12:04:51,489 - pyskl - INFO - Epoch [4][2200/3746] lr: 9.986e-02, eta: 4 days, 1:00:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2022, top5_acc: 0.4423, loss_cls: 7.4487, loss: 7.4487 2023-12-29 12:05:51,127 - pyskl - INFO - Epoch [4][2300/3746] lr: 9.986e-02, eta: 4 days, 0:56:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2123, top5_acc: 0.4522, loss_cls: 7.3922, loss: 7.3922 2023-12-29 12:06:51,055 - pyskl - INFO - Epoch [4][2400/3746] lr: 9.985e-02, eta: 4 days, 0:53:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2095, top5_acc: 0.4558, loss_cls: 7.3888, loss: 7.3888 2023-12-29 12:07:50,696 - pyskl - INFO - Epoch [4][2500/3746] lr: 9.985e-02, eta: 4 days, 0:49:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2241, top5_acc: 0.4680, loss_cls: 7.3325, loss: 7.3325 2023-12-29 12:08:50,204 - pyskl - INFO - Epoch [4][2600/3746] lr: 9.985e-02, eta: 4 days, 0:45:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2195, top5_acc: 0.4505, loss_cls: 7.4375, loss: 7.4375 2023-12-29 12:09:49,965 - pyskl - INFO - Epoch [4][2700/3746] lr: 9.985e-02, eta: 4 days, 0:42:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2284, top5_acc: 0.4631, loss_cls: 7.3507, loss: 7.3507 2023-12-29 12:10:49,568 - pyskl - INFO - Epoch [4][2800/3746] lr: 9.985e-02, eta: 4 days, 0:38:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2155, top5_acc: 0.4483, loss_cls: 7.4312, loss: 7.4312 2023-12-29 12:11:49,695 - pyskl - INFO - Epoch [4][2900/3746] lr: 9.984e-02, eta: 4 days, 0:35:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2072, top5_acc: 0.4448, loss_cls: 7.4281, loss: 7.4281 2023-12-29 12:12:49,325 - pyskl - INFO - Epoch [4][3000/3746] lr: 9.984e-02, eta: 4 days, 0:31:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2227, top5_acc: 0.4600, loss_cls: 7.3772, loss: 7.3772 2023-12-29 12:13:48,954 - pyskl - INFO - Epoch [4][3100/3746] lr: 9.984e-02, eta: 4 days, 0:28:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2217, top5_acc: 0.4652, loss_cls: 7.3630, loss: 7.3630 2023-12-29 12:14:48,764 - pyskl - INFO - Epoch [4][3200/3746] lr: 9.984e-02, eta: 4 days, 0:24:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2247, top5_acc: 0.4594, loss_cls: 7.3502, loss: 7.3502 2023-12-29 12:15:49,245 - pyskl - INFO - Epoch [4][3300/3746] lr: 9.983e-02, eta: 4 days, 0:22:02, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2247, top5_acc: 0.4603, loss_cls: 7.3698, loss: 7.3698 2023-12-29 12:16:50,064 - pyskl - INFO - Epoch [4][3400/3746] lr: 9.983e-02, eta: 4 days, 0:19:23, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2223, top5_acc: 0.4623, loss_cls: 7.3464, loss: 7.3464 2023-12-29 12:17:51,400 - pyskl - INFO - Epoch [4][3500/3746] lr: 9.983e-02, eta: 4 days, 0:17:04, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2172, top5_acc: 0.4605, loss_cls: 7.3434, loss: 7.3434 2023-12-29 12:18:52,233 - pyskl - INFO - Epoch [4][3600/3746] lr: 9.983e-02, eta: 4 days, 0:14:28, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2120, top5_acc: 0.4558, loss_cls: 7.4207, loss: 7.4207 2023-12-29 12:19:53,013 - pyskl - INFO - Epoch [4][3700/3746] lr: 9.983e-02, eta: 4 days, 0:11:51, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2309, top5_acc: 0.4702, loss_cls: 7.3056, loss: 7.3056 2023-12-29 12:20:23,504 - pyskl - INFO - Saving checkpoint at 4 epochs 2023-12-29 12:22:27,155 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 12:22:27,990 - pyskl - INFO - top1_acc 0.1593 top5_acc 0.3853 2023-12-29 12:22:27,990 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 12:22:28,028 - pyskl - INFO - mean_acc 0.1590 2023-12-29 12:22:28,038 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_3.pth was removed 2023-12-29 12:22:28,278 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2023-12-29 12:22:28,279 - pyskl - INFO - Best top1_acc is 0.1593 at 4 epoch. 2023-12-29 12:22:28,290 - pyskl - INFO - Epoch(val) [4][309] top1_acc: 0.1593, top5_acc: 0.3853, mean_class_accuracy: 0.1590 2023-12-29 12:25:42,873 - pyskl - INFO - Epoch [5][100/3746] lr: 9.982e-02, eta: 4 days, 1:12:01, time: 1.946, data_time: 1.351, memory: 16177, top1_acc: 0.2242, top5_acc: 0.4728, loss_cls: 7.3086, loss: 7.3086 2023-12-29 12:26:42,859 - pyskl - INFO - Epoch [5][200/3746] lr: 9.982e-02, eta: 4 days, 1:08:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2238, top5_acc: 0.4684, loss_cls: 7.3113, loss: 7.3113 2023-12-29 12:27:42,994 - pyskl - INFO - Epoch [5][300/3746] lr: 9.982e-02, eta: 4 days, 1:05:12, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2264, top5_acc: 0.4691, loss_cls: 7.2841, loss: 7.2841 2023-12-29 12:28:42,839 - pyskl - INFO - Epoch [5][400/3746] lr: 9.982e-02, eta: 4 days, 1:01:42, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2255, top5_acc: 0.4569, loss_cls: 7.3279, loss: 7.3279 2023-12-29 12:29:42,901 - pyskl - INFO - Epoch [5][500/3746] lr: 9.981e-02, eta: 4 days, 0:58:22, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2306, top5_acc: 0.4569, loss_cls: 7.3428, loss: 7.3428 2023-12-29 12:30:42,576 - pyskl - INFO - Epoch [5][600/3746] lr: 9.981e-02, eta: 4 days, 0:54:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2258, top5_acc: 0.4637, loss_cls: 7.3230, loss: 7.3230 2023-12-29 12:31:42,389 - pyskl - INFO - Epoch [5][700/3746] lr: 9.981e-02, eta: 4 days, 0:51:26, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2267, top5_acc: 0.4730, loss_cls: 7.3003, loss: 7.3003 2023-12-29 12:32:42,232 - pyskl - INFO - Epoch [5][800/3746] lr: 9.981e-02, eta: 4 days, 0:48:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2284, top5_acc: 0.4683, loss_cls: 7.2938, loss: 7.2938 2023-12-29 12:33:41,818 - pyskl - INFO - Epoch [5][900/3746] lr: 9.980e-02, eta: 4 days, 0:44:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2197, top5_acc: 0.4705, loss_cls: 7.2947, loss: 7.2947 2023-12-29 12:34:41,288 - pyskl - INFO - Epoch [5][1000/3746] lr: 9.980e-02, eta: 4 days, 0:41:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2213, top5_acc: 0.4653, loss_cls: 7.3526, loss: 7.3526 2023-12-29 12:35:40,828 - pyskl - INFO - Epoch [5][1100/3746] lr: 9.980e-02, eta: 4 days, 0:37:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2283, top5_acc: 0.4756, loss_cls: 7.2814, loss: 7.2814 2023-12-29 12:36:40,540 - pyskl - INFO - Epoch [5][1200/3746] lr: 9.980e-02, eta: 4 days, 0:34:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2259, top5_acc: 0.4669, loss_cls: 7.3276, loss: 7.3276 2023-12-29 12:37:40,480 - pyskl - INFO - Epoch [5][1300/3746] lr: 9.979e-02, eta: 4 days, 0:31:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2361, top5_acc: 0.4831, loss_cls: 7.2183, loss: 7.2183 2023-12-29 12:38:40,426 - pyskl - INFO - Epoch [5][1400/3746] lr: 9.979e-02, eta: 4 days, 0:27:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2225, top5_acc: 0.4788, loss_cls: 7.2525, loss: 7.2525 2023-12-29 12:39:39,971 - pyskl - INFO - Epoch [5][1500/3746] lr: 9.979e-02, eta: 4 days, 0:24:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2272, top5_acc: 0.4713, loss_cls: 7.3001, loss: 7.3001 2023-12-29 12:40:39,685 - pyskl - INFO - Epoch [5][1600/3746] lr: 9.979e-02, eta: 4 days, 0:21:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2259, top5_acc: 0.4703, loss_cls: 7.3013, loss: 7.3013 2023-12-29 12:41:39,369 - pyskl - INFO - Epoch [5][1700/3746] lr: 9.978e-02, eta: 4 days, 0:18:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2219, top5_acc: 0.4702, loss_cls: 7.3213, loss: 7.3213 2023-12-29 12:42:39,052 - pyskl - INFO - Epoch [5][1800/3746] lr: 9.978e-02, eta: 4 days, 0:15:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2227, top5_acc: 0.4647, loss_cls: 7.3158, loss: 7.3158 2023-12-29 12:43:38,737 - pyskl - INFO - Epoch [5][1900/3746] lr: 9.978e-02, eta: 4 days, 0:11:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2333, top5_acc: 0.4669, loss_cls: 7.2903, loss: 7.2903 2023-12-29 12:44:38,217 - pyskl - INFO - Epoch [5][2000/3746] lr: 9.977e-02, eta: 4 days, 0:08:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2259, top5_acc: 0.4600, loss_cls: 7.3138, loss: 7.3138 2023-12-29 12:45:37,801 - pyskl - INFO - Epoch [5][2100/3746] lr: 9.977e-02, eta: 4 days, 0:05:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2273, top5_acc: 0.4752, loss_cls: 7.2830, loss: 7.2830 2023-12-29 12:46:37,930 - pyskl - INFO - Epoch [5][2200/3746] lr: 9.977e-02, eta: 4 days, 0:02:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2225, top5_acc: 0.4611, loss_cls: 7.3042, loss: 7.3042 2023-12-29 12:47:38,815 - pyskl - INFO - Epoch [5][2300/3746] lr: 9.977e-02, eta: 4 days, 0:00:17, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2233, top5_acc: 0.4541, loss_cls: 7.3351, loss: 7.3351 2023-12-29 12:48:39,782 - pyskl - INFO - Epoch [5][2400/3746] lr: 9.976e-02, eta: 3 days, 23:57:55, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2280, top5_acc: 0.4633, loss_cls: 7.3092, loss: 7.3092 2023-12-29 12:49:40,432 - pyskl - INFO - Epoch [5][2500/3746] lr: 9.976e-02, eta: 3 days, 23:55:24, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2300, top5_acc: 0.4730, loss_cls: 7.2716, loss: 7.2716 2023-12-29 12:50:41,326 - pyskl - INFO - Epoch [5][2600/3746] lr: 9.976e-02, eta: 3 days, 23:53:02, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2277, top5_acc: 0.4641, loss_cls: 7.3000, loss: 7.3000 2023-12-29 12:51:41,023 - pyskl - INFO - Epoch [5][2700/3746] lr: 9.976e-02, eta: 3 days, 23:50:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2234, top5_acc: 0.4644, loss_cls: 7.3102, loss: 7.3102 2023-12-29 12:52:40,691 - pyskl - INFO - Epoch [5][2800/3746] lr: 9.975e-02, eta: 3 days, 23:47:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2272, top5_acc: 0.4677, loss_cls: 7.2925, loss: 7.2925 2023-12-29 12:53:40,280 - pyskl - INFO - Epoch [5][2900/3746] lr: 9.975e-02, eta: 3 days, 23:44:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2306, top5_acc: 0.4664, loss_cls: 7.2685, loss: 7.2685 2023-12-29 12:54:40,016 - pyskl - INFO - Epoch [5][3000/3746] lr: 9.975e-02, eta: 3 days, 23:41:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2217, top5_acc: 0.4675, loss_cls: 7.2523, loss: 7.2523 2023-12-29 12:55:40,500 - pyskl - INFO - Epoch [5][3100/3746] lr: 9.974e-02, eta: 3 days, 23:38:47, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2277, top5_acc: 0.4644, loss_cls: 7.3132, loss: 7.3132 2023-12-29 12:56:41,294 - pyskl - INFO - Epoch [5][3200/3746] lr: 9.974e-02, eta: 3 days, 23:36:28, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2314, top5_acc: 0.4744, loss_cls: 7.2602, loss: 7.2602 2023-12-29 12:57:42,107 - pyskl - INFO - Epoch [5][3300/3746] lr: 9.974e-02, eta: 3 days, 23:34:11, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2286, top5_acc: 0.4683, loss_cls: 7.3030, loss: 7.3030 2023-12-29 12:58:42,917 - pyskl - INFO - Epoch [5][3400/3746] lr: 9.974e-02, eta: 3 days, 23:31:54, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2359, top5_acc: 0.4873, loss_cls: 7.2171, loss: 7.2171 2023-12-29 12:59:43,746 - pyskl - INFO - Epoch [5][3500/3746] lr: 9.973e-02, eta: 3 days, 23:29:39, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2295, top5_acc: 0.4794, loss_cls: 7.2536, loss: 7.2536 2023-12-29 13:00:44,764 - pyskl - INFO - Epoch [5][3600/3746] lr: 9.973e-02, eta: 3 days, 23:27:30, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2362, top5_acc: 0.4728, loss_cls: 7.2518, loss: 7.2518 2023-12-29 13:01:45,783 - pyskl - INFO - Epoch [5][3700/3746] lr: 9.973e-02, eta: 3 days, 23:25:22, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2381, top5_acc: 0.4830, loss_cls: 7.2093, loss: 7.2093 2023-12-29 13:02:17,071 - pyskl - INFO - Saving checkpoint at 5 epochs 2023-12-29 13:04:20,139 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 13:04:21,206 - pyskl - INFO - top1_acc 0.1437 top5_acc 0.3465 2023-12-29 13:04:21,206 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 13:04:21,247 - pyskl - INFO - mean_acc 0.1437 2023-12-29 13:04:21,257 - pyskl - INFO - Epoch(val) [5][309] top1_acc: 0.1437, top5_acc: 0.3465, mean_class_accuracy: 0.1437 2023-12-29 13:07:45,438 - pyskl - INFO - Epoch [6][100/3746] lr: 9.972e-02, eta: 4 days, 0:17:35, time: 2.042, data_time: 1.448, memory: 16177, top1_acc: 0.2297, top5_acc: 0.4792, loss_cls: 7.2480, loss: 7.2480 2023-12-29 13:08:45,277 - pyskl - INFO - Epoch [6][200/3746] lr: 9.972e-02, eta: 4 days, 0:14:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2311, top5_acc: 0.4777, loss_cls: 7.2361, loss: 7.2361 2023-12-29 13:09:45,367 - pyskl - INFO - Epoch [6][300/3746] lr: 9.972e-02, eta: 4 days, 0:11:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2314, top5_acc: 0.4806, loss_cls: 7.2238, loss: 7.2238 2023-12-29 13:10:45,248 - pyskl - INFO - Epoch [6][400/3746] lr: 9.971e-02, eta: 4 days, 0:08:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2384, top5_acc: 0.4853, loss_cls: 7.1822, loss: 7.1822 2023-12-29 13:11:44,832 - pyskl - INFO - Epoch [6][500/3746] lr: 9.971e-02, eta: 4 days, 0:05:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2403, top5_acc: 0.4798, loss_cls: 7.2268, loss: 7.2268 2023-12-29 13:12:44,849 - pyskl - INFO - Epoch [6][600/3746] lr: 9.971e-02, eta: 4 days, 0:03:01, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2334, top5_acc: 0.4700, loss_cls: 7.2651, loss: 7.2651 2023-12-29 13:13:44,961 - pyskl - INFO - Epoch [6][700/3746] lr: 9.971e-02, eta: 4 days, 0:00:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2320, top5_acc: 0.4658, loss_cls: 7.2614, loss: 7.2614 2023-12-29 13:14:44,874 - pyskl - INFO - Epoch [6][800/3746] lr: 9.970e-02, eta: 3 days, 23:57:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2308, top5_acc: 0.4722, loss_cls: 7.2308, loss: 7.2308 2023-12-29 13:15:44,672 - pyskl - INFO - Epoch [6][900/3746] lr: 9.970e-02, eta: 3 days, 23:54:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2417, top5_acc: 0.4895, loss_cls: 7.1812, loss: 7.1812 2023-12-29 13:16:44,381 - pyskl - INFO - Epoch [6][1000/3746] lr: 9.970e-02, eta: 3 days, 23:51:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2319, top5_acc: 0.4794, loss_cls: 7.2140, loss: 7.2140 2023-12-29 13:17:44,130 - pyskl - INFO - Epoch [6][1100/3746] lr: 9.969e-02, eta: 3 days, 23:48:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2245, top5_acc: 0.4788, loss_cls: 7.2368, loss: 7.2368 2023-12-29 13:18:43,678 - pyskl - INFO - Epoch [6][1200/3746] lr: 9.969e-02, eta: 3 days, 23:45:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4877, loss_cls: 7.1851, loss: 7.1851 2023-12-29 13:19:43,223 - pyskl - INFO - Epoch [6][1300/3746] lr: 9.969e-02, eta: 3 days, 23:43:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4848, loss_cls: 7.1895, loss: 7.1895 2023-12-29 13:20:42,913 - pyskl - INFO - Epoch [6][1400/3746] lr: 9.968e-02, eta: 3 days, 23:40:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2373, top5_acc: 0.4869, loss_cls: 7.1933, loss: 7.1933 2023-12-29 13:21:42,643 - pyskl - INFO - Epoch [6][1500/3746] lr: 9.968e-02, eta: 3 days, 23:37:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4848, loss_cls: 7.1678, loss: 7.1678 2023-12-29 13:22:42,439 - pyskl - INFO - Epoch [6][1600/3746] lr: 9.968e-02, eta: 3 days, 23:34:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2338, top5_acc: 0.4723, loss_cls: 7.2550, loss: 7.2550 2023-12-29 13:23:42,250 - pyskl - INFO - Epoch [6][1700/3746] lr: 9.967e-02, eta: 3 days, 23:32:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2408, top5_acc: 0.4830, loss_cls: 7.1713, loss: 7.1713 2023-12-29 13:24:42,220 - pyskl - INFO - Epoch [6][1800/3746] lr: 9.967e-02, eta: 3 days, 23:29:26, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2331, top5_acc: 0.4752, loss_cls: 7.2338, loss: 7.2338 2023-12-29 13:25:42,180 - pyskl - INFO - Epoch [6][1900/3746] lr: 9.967e-02, eta: 3 days, 23:26:50, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2353, top5_acc: 0.4803, loss_cls: 7.2002, loss: 7.2002 2023-12-29 13:26:42,472 - pyskl - INFO - Epoch [6][2000/3746] lr: 9.966e-02, eta: 3 days, 23:24:23, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2270, top5_acc: 0.4670, loss_cls: 7.2712, loss: 7.2712 2023-12-29 13:27:43,265 - pyskl - INFO - Epoch [6][2100/3746] lr: 9.966e-02, eta: 3 days, 23:22:10, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2330, top5_acc: 0.4781, loss_cls: 7.2354, loss: 7.2354 2023-12-29 13:28:43,862 - pyskl - INFO - Epoch [6][2200/3746] lr: 9.966e-02, eta: 3 days, 23:19:53, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2317, top5_acc: 0.4827, loss_cls: 7.2090, loss: 7.2090 2023-12-29 13:29:44,461 - pyskl - INFO - Epoch [6][2300/3746] lr: 9.965e-02, eta: 3 days, 23:17:36, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2320, top5_acc: 0.4703, loss_cls: 7.2339, loss: 7.2339 2023-12-29 13:30:45,237 - pyskl - INFO - Epoch [6][2400/3746] lr: 9.965e-02, eta: 3 days, 23:15:25, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2284, top5_acc: 0.4720, loss_cls: 7.2541, loss: 7.2541 2023-12-29 13:31:45,159 - pyskl - INFO - Epoch [6][2500/3746] lr: 9.965e-02, eta: 3 days, 23:12:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2302, top5_acc: 0.4742, loss_cls: 7.2482, loss: 7.2482 2023-12-29 13:32:45,498 - pyskl - INFO - Epoch [6][2600/3746] lr: 9.964e-02, eta: 3 days, 23:10:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2280, top5_acc: 0.4741, loss_cls: 7.2419, loss: 7.2419 2023-12-29 13:33:45,603 - pyskl - INFO - Epoch [6][2700/3746] lr: 9.964e-02, eta: 3 days, 23:08:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2366, top5_acc: 0.4892, loss_cls: 7.1622, loss: 7.1622 2023-12-29 13:34:45,258 - pyskl - INFO - Epoch [6][2800/3746] lr: 9.964e-02, eta: 3 days, 23:05:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2373, top5_acc: 0.4875, loss_cls: 7.1914, loss: 7.1914 2023-12-29 13:35:45,434 - pyskl - INFO - Epoch [6][2900/3746] lr: 9.963e-02, eta: 3 days, 23:03:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4931, loss_cls: 7.1512, loss: 7.1512 2023-12-29 13:36:45,098 - pyskl - INFO - Epoch [6][3000/3746] lr: 9.963e-02, eta: 3 days, 23:00:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2270, top5_acc: 0.4794, loss_cls: 7.2328, loss: 7.2328 2023-12-29 13:37:44,789 - pyskl - INFO - Epoch [6][3100/3746] lr: 9.963e-02, eta: 3 days, 22:57:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2386, top5_acc: 0.4830, loss_cls: 7.1932, loss: 7.1932 2023-12-29 13:38:44,339 - pyskl - INFO - Epoch [6][3200/3746] lr: 9.962e-02, eta: 3 days, 22:55:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2313, top5_acc: 0.4728, loss_cls: 7.2372, loss: 7.2372 2023-12-29 13:39:44,862 - pyskl - INFO - Epoch [6][3300/3746] lr: 9.962e-02, eta: 3 days, 22:53:12, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2436, top5_acc: 0.4833, loss_cls: 7.2067, loss: 7.2067 2023-12-29 13:40:44,710 - pyskl - INFO - Epoch [6][3400/3746] lr: 9.962e-02, eta: 3 days, 22:50:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2409, top5_acc: 0.4889, loss_cls: 7.1560, loss: 7.1560 2023-12-29 13:41:44,988 - pyskl - INFO - Epoch [6][3500/3746] lr: 9.961e-02, eta: 3 days, 22:48:29, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4881, loss_cls: 7.1748, loss: 7.1748 2023-12-29 13:42:45,631 - pyskl - INFO - Epoch [6][3600/3746] lr: 9.961e-02, eta: 3 days, 22:46:23, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2289, top5_acc: 0.4764, loss_cls: 7.2481, loss: 7.2481 2023-12-29 13:43:45,716 - pyskl - INFO - Epoch [6][3700/3746] lr: 9.961e-02, eta: 3 days, 22:44:04, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2330, top5_acc: 0.4802, loss_cls: 7.2013, loss: 7.2013 2023-12-29 13:44:15,851 - pyskl - INFO - Saving checkpoint at 6 epochs 2023-12-29 13:46:18,807 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 13:46:19,879 - pyskl - INFO - top1_acc 0.1527 top5_acc 0.3610 2023-12-29 13:46:19,879 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 13:46:19,918 - pyskl - INFO - mean_acc 0.1525 2023-12-29 13:46:19,928 - pyskl - INFO - Epoch(val) [6][309] top1_acc: 0.1527, top5_acc: 0.3610, mean_class_accuracy: 0.1525 2023-12-29 13:49:41,431 - pyskl - INFO - Epoch [7][100/3746] lr: 9.960e-02, eta: 3 days, 23:26:00, time: 2.015, data_time: 1.417, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4952, loss_cls: 7.1139, loss: 7.1139 2023-12-29 13:50:41,370 - pyskl - INFO - Epoch [7][200/3746] lr: 9.960e-02, eta: 3 days, 23:23:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4877, loss_cls: 7.1534, loss: 7.1534 2023-12-29 13:51:41,265 - pyskl - INFO - Epoch [7][300/3746] lr: 9.960e-02, eta: 3 days, 23:20:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4823, loss_cls: 7.1512, loss: 7.1512 2023-12-29 13:52:41,007 - pyskl - INFO - Epoch [7][400/3746] lr: 9.959e-02, eta: 3 days, 23:18:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4973, loss_cls: 7.1554, loss: 7.1554 2023-12-29 13:53:41,351 - pyskl - INFO - Epoch [7][500/3746] lr: 9.959e-02, eta: 3 days, 23:15:56, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2436, top5_acc: 0.4872, loss_cls: 7.1531, loss: 7.1531 2023-12-29 13:54:41,788 - pyskl - INFO - Epoch [7][600/3746] lr: 9.958e-02, eta: 3 days, 23:13:38, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2378, top5_acc: 0.4858, loss_cls: 7.1884, loss: 7.1884 2023-12-29 13:55:41,524 - pyskl - INFO - Epoch [7][700/3746] lr: 9.958e-02, eta: 3 days, 23:11:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2370, top5_acc: 0.4870, loss_cls: 7.1596, loss: 7.1596 2023-12-29 13:56:41,514 - pyskl - INFO - Epoch [7][800/3746] lr: 9.958e-02, eta: 3 days, 23:08:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2408, top5_acc: 0.4816, loss_cls: 7.2041, loss: 7.2041 2023-12-29 13:57:41,078 - pyskl - INFO - Epoch [7][900/3746] lr: 9.957e-02, eta: 3 days, 23:06:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2353, top5_acc: 0.4788, loss_cls: 7.2117, loss: 7.2117 2023-12-29 13:58:40,921 - pyskl - INFO - Epoch [7][1000/3746] lr: 9.957e-02, eta: 3 days, 23:03:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2311, top5_acc: 0.4702, loss_cls: 7.2400, loss: 7.2400 2023-12-29 13:59:40,555 - pyskl - INFO - Epoch [7][1100/3746] lr: 9.957e-02, eta: 3 days, 23:00:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2406, top5_acc: 0.4808, loss_cls: 7.1929, loss: 7.1929 2023-12-29 14:00:40,326 - pyskl - INFO - Epoch [7][1200/3746] lr: 9.956e-02, eta: 3 days, 22:58:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4836, loss_cls: 7.1814, loss: 7.1814 2023-12-29 14:01:39,823 - pyskl - INFO - Epoch [7][1300/3746] lr: 9.956e-02, eta: 3 days, 22:55:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2384, top5_acc: 0.4861, loss_cls: 7.1409, loss: 7.1409 2023-12-29 14:02:39,484 - pyskl - INFO - Epoch [7][1400/3746] lr: 9.956e-02, eta: 3 days, 22:53:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2456, top5_acc: 0.4859, loss_cls: 7.1694, loss: 7.1694 2023-12-29 14:03:39,171 - pyskl - INFO - Epoch [7][1500/3746] lr: 9.955e-02, eta: 3 days, 22:50:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2408, top5_acc: 0.4877, loss_cls: 7.1639, loss: 7.1639 2023-12-29 14:04:39,159 - pyskl - INFO - Epoch [7][1600/3746] lr: 9.955e-02, eta: 3 days, 22:48:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2375, top5_acc: 0.4920, loss_cls: 7.1524, loss: 7.1524 2023-12-29 14:05:39,902 - pyskl - INFO - Epoch [7][1700/3746] lr: 9.954e-02, eta: 3 days, 22:46:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2313, top5_acc: 0.4844, loss_cls: 7.1719, loss: 7.1719 2023-12-29 14:06:40,700 - pyskl - INFO - Epoch [7][1800/3746] lr: 9.954e-02, eta: 3 days, 22:44:27, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2341, top5_acc: 0.4795, loss_cls: 7.2054, loss: 7.2054 2023-12-29 14:07:41,467 - pyskl - INFO - Epoch [7][1900/3746] lr: 9.954e-02, eta: 3 days, 22:42:25, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2352, top5_acc: 0.4781, loss_cls: 7.2092, loss: 7.2092 2023-12-29 14:08:42,779 - pyskl - INFO - Epoch [7][2000/3746] lr: 9.953e-02, eta: 3 days, 22:40:35, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2267, top5_acc: 0.4745, loss_cls: 7.2082, loss: 7.2082 2023-12-29 14:09:44,218 - pyskl - INFO - Epoch [7][2100/3746] lr: 9.953e-02, eta: 3 days, 22:38:48, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2394, top5_acc: 0.4813, loss_cls: 7.2106, loss: 7.2106 2023-12-29 14:10:45,601 - pyskl - INFO - Epoch [7][2200/3746] lr: 9.952e-02, eta: 3 days, 22:37:00, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2436, top5_acc: 0.4938, loss_cls: 7.1054, loss: 7.1054 2023-12-29 14:11:46,492 - pyskl - INFO - Epoch [7][2300/3746] lr: 9.952e-02, eta: 3 days, 22:35:02, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4908, loss_cls: 7.1368, loss: 7.1368 2023-12-29 14:12:46,933 - pyskl - INFO - Epoch [7][2400/3746] lr: 9.952e-02, eta: 3 days, 22:32:55, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2361, top5_acc: 0.4848, loss_cls: 7.1678, loss: 7.1678 2023-12-29 14:13:46,445 - pyskl - INFO - Epoch [7][2500/3746] lr: 9.951e-02, eta: 3 days, 22:30:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2302, top5_acc: 0.4756, loss_cls: 7.1910, loss: 7.1910 2023-12-29 14:14:46,249 - pyskl - INFO - Epoch [7][2600/3746] lr: 9.951e-02, eta: 3 days, 22:28:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2355, top5_acc: 0.4745, loss_cls: 7.2016, loss: 7.2016 2023-12-29 14:15:46,479 - pyskl - INFO - Epoch [7][2700/3746] lr: 9.951e-02, eta: 3 days, 22:25:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4853, loss_cls: 7.1627, loss: 7.1627 2023-12-29 14:16:46,316 - pyskl - INFO - Epoch [7][2800/3746] lr: 9.950e-02, eta: 3 days, 22:23:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2344, top5_acc: 0.4802, loss_cls: 7.2000, loss: 7.2000 2023-12-29 14:17:45,680 - pyskl - INFO - Epoch [7][2900/3746] lr: 9.950e-02, eta: 3 days, 22:21:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2431, top5_acc: 0.4864, loss_cls: 7.1658, loss: 7.1658 2023-12-29 14:18:45,839 - pyskl - INFO - Epoch [7][3000/3746] lr: 9.949e-02, eta: 3 days, 22:19:04, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2409, top5_acc: 0.4966, loss_cls: 7.1230, loss: 7.1230 2023-12-29 14:19:46,124 - pyskl - INFO - Epoch [7][3100/3746] lr: 9.949e-02, eta: 3 days, 22:16:58, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2362, top5_acc: 0.4777, loss_cls: 7.1996, loss: 7.1996 2023-12-29 14:20:45,927 - pyskl - INFO - Epoch [7][3200/3746] lr: 9.949e-02, eta: 3 days, 22:14:42, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4730, loss_cls: 7.2242, loss: 7.2242 2023-12-29 14:21:46,488 - pyskl - INFO - Epoch [7][3300/3746] lr: 9.948e-02, eta: 3 days, 22:12:42, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2369, top5_acc: 0.4814, loss_cls: 7.1781, loss: 7.1781 2023-12-29 14:22:46,562 - pyskl - INFO - Epoch [7][3400/3746] lr: 9.948e-02, eta: 3 days, 22:10:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.5002, loss_cls: 7.1065, loss: 7.1065 2023-12-29 14:23:46,216 - pyskl - INFO - Epoch [7][3500/3746] lr: 9.947e-02, eta: 3 days, 22:08:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2392, top5_acc: 0.4831, loss_cls: 7.1549, loss: 7.1549 2023-12-29 14:24:45,776 - pyskl - INFO - Epoch [7][3600/3746] lr: 9.947e-02, eta: 3 days, 22:05:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.4930, loss_cls: 7.1284, loss: 7.1284 2023-12-29 14:25:45,431 - pyskl - INFO - Epoch [7][3700/3746] lr: 9.947e-02, eta: 3 days, 22:03:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4805, loss_cls: 7.1719, loss: 7.1719 2023-12-29 14:26:15,055 - pyskl - INFO - Saving checkpoint at 7 epochs 2023-12-29 14:28:15,572 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 14:28:16,820 - pyskl - INFO - top1_acc 0.1665 top5_acc 0.3835 2023-12-29 14:28:16,820 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 14:28:16,864 - pyskl - INFO - mean_acc 0.1665 2023-12-29 14:28:16,871 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_4.pth was removed 2023-12-29 14:28:17,181 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. 2023-12-29 14:28:17,182 - pyskl - INFO - Best top1_acc is 0.1665 at 7 epoch. 2023-12-29 14:28:17,194 - pyskl - INFO - Epoch(val) [7][309] top1_acc: 0.1665, top5_acc: 0.3835, mean_class_accuracy: 0.1665 2023-12-29 14:31:34,816 - pyskl - INFO - Epoch [8][100/3746] lr: 9.946e-02, eta: 3 days, 22:37:51, time: 1.976, data_time: 1.378, memory: 16177, top1_acc: 0.2498, top5_acc: 0.5012, loss_cls: 7.0860, loss: 7.0860 2023-12-29 14:32:34,868 - pyskl - INFO - Epoch [8][200/3746] lr: 9.946e-02, eta: 3 days, 22:35:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2455, top5_acc: 0.4956, loss_cls: 7.1152, loss: 7.1152 2023-12-29 14:33:34,334 - pyskl - INFO - Epoch [8][300/3746] lr: 9.945e-02, eta: 3 days, 22:33:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4875, loss_cls: 7.1354, loss: 7.1354 2023-12-29 14:34:34,024 - pyskl - INFO - Epoch [8][400/3746] lr: 9.945e-02, eta: 3 days, 22:30:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4798, loss_cls: 7.1718, loss: 7.1718 2023-12-29 14:35:33,039 - pyskl - INFO - Epoch [8][500/3746] lr: 9.944e-02, eta: 3 days, 22:28:12, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.4978, loss_cls: 7.0973, loss: 7.0973 2023-12-29 14:36:32,651 - pyskl - INFO - Epoch [8][600/3746] lr: 9.944e-02, eta: 3 days, 22:25:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2414, top5_acc: 0.4834, loss_cls: 7.1358, loss: 7.1358 2023-12-29 14:37:32,191 - pyskl - INFO - Epoch [8][700/3746] lr: 9.943e-02, eta: 3 days, 22:23:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.4925, loss_cls: 7.1143, loss: 7.1143 2023-12-29 14:38:31,647 - pyskl - INFO - Epoch [8][800/3746] lr: 9.943e-02, eta: 3 days, 22:21:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2302, top5_acc: 0.4747, loss_cls: 7.2025, loss: 7.2025 2023-12-29 14:39:31,344 - pyskl - INFO - Epoch [8][900/3746] lr: 9.943e-02, eta: 3 days, 22:18:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4891, loss_cls: 7.1432, loss: 7.1432 2023-12-29 14:40:30,893 - pyskl - INFO - Epoch [8][1000/3746] lr: 9.942e-02, eta: 3 days, 22:16:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2430, top5_acc: 0.4784, loss_cls: 7.1702, loss: 7.1702 2023-12-29 14:41:30,434 - pyskl - INFO - Epoch [8][1100/3746] lr: 9.942e-02, eta: 3 days, 22:14:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4934, loss_cls: 7.1278, loss: 7.1278 2023-12-29 14:42:30,068 - pyskl - INFO - Epoch [8][1200/3746] lr: 9.941e-02, eta: 3 days, 22:11:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2412, top5_acc: 0.4905, loss_cls: 7.1572, loss: 7.1572 2023-12-29 14:43:29,690 - pyskl - INFO - Epoch [8][1300/3746] lr: 9.941e-02, eta: 3 days, 22:09:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2466, top5_acc: 0.4958, loss_cls: 7.1237, loss: 7.1237 2023-12-29 14:44:29,977 - pyskl - INFO - Epoch [8][1400/3746] lr: 9.940e-02, eta: 3 days, 22:07:23, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4867, loss_cls: 7.1772, loss: 7.1772 2023-12-29 14:45:30,297 - pyskl - INFO - Epoch [8][1500/3746] lr: 9.940e-02, eta: 3 days, 22:05:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2391, top5_acc: 0.4831, loss_cls: 7.1485, loss: 7.1485 2023-12-29 14:46:30,847 - pyskl - INFO - Epoch [8][1600/3746] lr: 9.940e-02, eta: 3 days, 22:03:22, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.5008, loss_cls: 7.1037, loss: 7.1037 2023-12-29 14:47:30,912 - pyskl - INFO - Epoch [8][1700/3746] lr: 9.939e-02, eta: 3 days, 22:01:14, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.4950, loss_cls: 7.1103, loss: 7.1103 2023-12-29 14:48:30,496 - pyskl - INFO - Epoch [8][1800/3746] lr: 9.939e-02, eta: 3 days, 21:58:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4881, loss_cls: 7.1514, loss: 7.1514 2023-12-29 14:49:30,252 - pyskl - INFO - Epoch [8][1900/3746] lr: 9.938e-02, eta: 3 days, 21:56:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2380, top5_acc: 0.4811, loss_cls: 7.1873, loss: 7.1873 2023-12-29 14:50:30,931 - pyskl - INFO - Epoch [8][2000/3746] lr: 9.938e-02, eta: 3 days, 21:54:52, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2431, top5_acc: 0.4864, loss_cls: 7.1811, loss: 7.1811 2023-12-29 14:51:31,024 - pyskl - INFO - Epoch [8][2100/3746] lr: 9.937e-02, eta: 3 days, 21:52:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2389, top5_acc: 0.4877, loss_cls: 7.1531, loss: 7.1531 2023-12-29 14:52:30,693 - pyskl - INFO - Epoch [8][2200/3746] lr: 9.937e-02, eta: 3 days, 21:50:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2433, top5_acc: 0.4923, loss_cls: 7.1346, loss: 7.1346 2023-12-29 14:53:30,290 - pyskl - INFO - Epoch [8][2300/3746] lr: 9.937e-02, eta: 3 days, 21:48:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2319, top5_acc: 0.4764, loss_cls: 7.2069, loss: 7.2069 2023-12-29 14:54:29,819 - pyskl - INFO - Epoch [8][2400/3746] lr: 9.936e-02, eta: 3 days, 21:46:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2383, top5_acc: 0.4942, loss_cls: 7.1560, loss: 7.1560 2023-12-29 14:55:29,480 - pyskl - INFO - Epoch [8][2500/3746] lr: 9.936e-02, eta: 3 days, 21:43:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2397, top5_acc: 0.4753, loss_cls: 7.2040, loss: 7.2040 2023-12-29 14:56:29,081 - pyskl - INFO - Epoch [8][2600/3746] lr: 9.935e-02, eta: 3 days, 21:41:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4888, loss_cls: 7.1245, loss: 7.1245 2023-12-29 14:57:29,032 - pyskl - INFO - Epoch [8][2700/3746] lr: 9.935e-02, eta: 3 days, 21:39:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2417, top5_acc: 0.4875, loss_cls: 7.1597, loss: 7.1597 2023-12-29 14:58:28,699 - pyskl - INFO - Epoch [8][2800/3746] lr: 9.934e-02, eta: 3 days, 21:37:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4931, loss_cls: 7.1221, loss: 7.1221 2023-12-29 14:59:28,390 - pyskl - INFO - Epoch [8][2900/3746] lr: 9.934e-02, eta: 3 days, 21:35:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2373, top5_acc: 0.4795, loss_cls: 7.1853, loss: 7.1853 2023-12-29 15:00:28,779 - pyskl - INFO - Epoch [8][3000/3746] lr: 9.933e-02, eta: 3 days, 21:33:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.5019, loss_cls: 7.0791, loss: 7.0791 2023-12-29 15:01:29,375 - pyskl - INFO - Epoch [8][3100/3746] lr: 9.933e-02, eta: 3 days, 21:31:37, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2422, top5_acc: 0.4866, loss_cls: 7.1229, loss: 7.1229 2023-12-29 15:02:29,747 - pyskl - INFO - Epoch [8][3200/3746] lr: 9.933e-02, eta: 3 days, 21:29:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4881, loss_cls: 7.1350, loss: 7.1350 2023-12-29 15:03:29,428 - pyskl - INFO - Epoch [8][3300/3746] lr: 9.932e-02, eta: 3 days, 21:27:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2466, top5_acc: 0.4972, loss_cls: 7.1101, loss: 7.1101 2023-12-29 15:04:29,052 - pyskl - INFO - Epoch [8][3400/3746] lr: 9.932e-02, eta: 3 days, 21:25:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4920, loss_cls: 7.1025, loss: 7.1025 2023-12-29 15:05:28,719 - pyskl - INFO - Epoch [8][3500/3746] lr: 9.931e-02, eta: 3 days, 21:23:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4889, loss_cls: 7.1324, loss: 7.1324 2023-12-29 15:06:28,650 - pyskl - INFO - Epoch [8][3600/3746] lr: 9.931e-02, eta: 3 days, 21:21:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2422, top5_acc: 0.4842, loss_cls: 7.1448, loss: 7.1448 2023-12-29 15:07:28,268 - pyskl - INFO - Epoch [8][3700/3746] lr: 9.930e-02, eta: 3 days, 21:19:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.4931, loss_cls: 7.1120, loss: 7.1120 2023-12-29 15:07:58,276 - pyskl - INFO - Saving checkpoint at 8 epochs 2023-12-29 15:09:58,249 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 15:09:59,330 - pyskl - INFO - top1_acc 0.1606 top5_acc 0.3716 2023-12-29 15:09:59,331 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 15:09:59,369 - pyskl - INFO - mean_acc 0.1605 2023-12-29 15:09:59,378 - pyskl - INFO - Epoch(val) [8][309] top1_acc: 0.1606, top5_acc: 0.3716, mean_class_accuracy: 0.1605 2023-12-29 15:13:20,119 - pyskl - INFO - Epoch [9][100/3746] lr: 9.930e-02, eta: 3 days, 21:49:42, time: 2.007, data_time: 1.410, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4933, loss_cls: 7.1130, loss: 7.1130 2023-12-29 15:14:20,034 - pyskl - INFO - Epoch [9][200/3746] lr: 9.929e-02, eta: 3 days, 21:47:35, time: 0.599, data_time: 0.001, memory: 16177, top1_acc: 0.2439, top5_acc: 0.5038, loss_cls: 7.0534, loss: 7.0534 2023-12-29 15:15:19,984 - pyskl - INFO - Epoch [9][300/3746] lr: 9.929e-02, eta: 3 days, 21:45:29, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2459, top5_acc: 0.4909, loss_cls: 7.1236, loss: 7.1236 2023-12-29 15:16:20,017 - pyskl - INFO - Epoch [9][400/3746] lr: 9.928e-02, eta: 3 days, 21:43:25, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2403, top5_acc: 0.4877, loss_cls: 7.1059, loss: 7.1059 2023-12-29 15:17:20,313 - pyskl - INFO - Epoch [9][500/3746] lr: 9.928e-02, eta: 3 days, 21:41:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4916, loss_cls: 7.1111, loss: 7.1111 2023-12-29 15:18:19,880 - pyskl - INFO - Epoch [9][600/3746] lr: 9.927e-02, eta: 3 days, 21:39:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4973, loss_cls: 7.1153, loss: 7.1153 2023-12-29 15:19:19,337 - pyskl - INFO - Epoch [9][700/3746] lr: 9.927e-02, eta: 3 days, 21:37:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.4972, loss_cls: 7.0995, loss: 7.0995 2023-12-29 15:20:18,781 - pyskl - INFO - Epoch [9][800/3746] lr: 9.926e-02, eta: 3 days, 21:34:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.5000, loss_cls: 7.0843, loss: 7.0843 2023-12-29 15:21:18,456 - pyskl - INFO - Epoch [9][900/3746] lr: 9.926e-02, eta: 3 days, 21:32:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.4884, loss_cls: 7.0976, loss: 7.0976 2023-12-29 15:22:17,908 - pyskl - INFO - Epoch [9][1000/3746] lr: 9.925e-02, eta: 3 days, 21:30:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2428, top5_acc: 0.4881, loss_cls: 7.1383, loss: 7.1383 2023-12-29 15:23:17,374 - pyskl - INFO - Epoch [9][1100/3746] lr: 9.925e-02, eta: 3 days, 21:28:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4991, loss_cls: 7.0961, loss: 7.0961 2023-12-29 15:24:17,041 - pyskl - INFO - Epoch [9][1200/3746] lr: 9.924e-02, eta: 3 days, 21:26:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4931, loss_cls: 7.1153, loss: 7.1153 2023-12-29 15:25:16,709 - pyskl - INFO - Epoch [9][1300/3746] lr: 9.924e-02, eta: 3 days, 21:24:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.4983, loss_cls: 7.0935, loss: 7.0935 2023-12-29 15:26:16,436 - pyskl - INFO - Epoch [9][1400/3746] lr: 9.923e-02, eta: 3 days, 21:22:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2364, top5_acc: 0.4850, loss_cls: 7.1471, loss: 7.1471 2023-12-29 15:27:16,220 - pyskl - INFO - Epoch [9][1500/3746] lr: 9.923e-02, eta: 3 days, 21:19:58, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2372, top5_acc: 0.4897, loss_cls: 7.1404, loss: 7.1404 2023-12-29 15:28:15,958 - pyskl - INFO - Epoch [9][1600/3746] lr: 9.922e-02, eta: 3 days, 21:17:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2370, top5_acc: 0.4866, loss_cls: 7.1466, loss: 7.1466 2023-12-29 15:29:15,566 - pyskl - INFO - Epoch [9][1700/3746] lr: 9.922e-02, eta: 3 days, 21:15:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4923, loss_cls: 7.1229, loss: 7.1229 2023-12-29 15:30:15,563 - pyskl - INFO - Epoch [9][1800/3746] lr: 9.921e-02, eta: 3 days, 21:13:50, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5003, loss_cls: 7.0796, loss: 7.0796 2023-12-29 15:31:16,024 - pyskl - INFO - Epoch [9][1900/3746] lr: 9.921e-02, eta: 3 days, 21:11:59, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2455, top5_acc: 0.4905, loss_cls: 7.1522, loss: 7.1522 2023-12-29 15:32:16,274 - pyskl - INFO - Epoch [9][2000/3746] lr: 9.920e-02, eta: 3 days, 21:10:05, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2477, top5_acc: 0.4856, loss_cls: 7.1285, loss: 7.1285 2023-12-29 15:33:15,824 - pyskl - INFO - Epoch [9][2100/3746] lr: 9.920e-02, eta: 3 days, 21:08:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4853, loss_cls: 7.1191, loss: 7.1191 2023-12-29 15:34:15,617 - pyskl - INFO - Epoch [9][2200/3746] lr: 9.919e-02, eta: 3 days, 21:05:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4905, loss_cls: 7.1489, loss: 7.1489 2023-12-29 15:35:15,251 - pyskl - INFO - Epoch [9][2300/3746] lr: 9.919e-02, eta: 3 days, 21:03:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5011, loss_cls: 7.0657, loss: 7.0657 2023-12-29 15:36:14,767 - pyskl - INFO - Epoch [9][2400/3746] lr: 9.918e-02, eta: 3 days, 21:01:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.4991, loss_cls: 7.0926, loss: 7.0926 2023-12-29 15:37:14,177 - pyskl - INFO - Epoch [9][2500/3746] lr: 9.918e-02, eta: 3 days, 20:59:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4925, loss_cls: 7.1160, loss: 7.1160 2023-12-29 15:38:13,843 - pyskl - INFO - Epoch [9][2600/3746] lr: 9.917e-02, eta: 3 days, 20:57:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2456, top5_acc: 0.4913, loss_cls: 7.1097, loss: 7.1097 2023-12-29 15:39:13,325 - pyskl - INFO - Epoch [9][2700/3746] lr: 9.917e-02, eta: 3 days, 20:55:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4956, loss_cls: 7.0834, loss: 7.0834 2023-12-29 15:40:12,952 - pyskl - INFO - Epoch [9][2800/3746] lr: 9.916e-02, eta: 3 days, 20:53:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2380, top5_acc: 0.4847, loss_cls: 7.1167, loss: 7.1167 2023-12-29 15:41:12,731 - pyskl - INFO - Epoch [9][2900/3746] lr: 9.916e-02, eta: 3 days, 20:51:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4953, loss_cls: 7.1003, loss: 7.1003 2023-12-29 15:42:12,796 - pyskl - INFO - Epoch [9][3000/3746] lr: 9.915e-02, eta: 3 days, 20:49:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2358, top5_acc: 0.4889, loss_cls: 7.1166, loss: 7.1166 2023-12-29 15:43:12,514 - pyskl - INFO - Epoch [9][3100/3746] lr: 9.915e-02, eta: 3 days, 20:47:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.4928, loss_cls: 7.1112, loss: 7.1112 2023-12-29 15:44:12,534 - pyskl - INFO - Epoch [9][3200/3746] lr: 9.914e-02, eta: 3 days, 20:45:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2338, top5_acc: 0.4836, loss_cls: 7.1721, loss: 7.1721 2023-12-29 15:45:13,115 - pyskl - INFO - Epoch [9][3300/3746] lr: 9.914e-02, eta: 3 days, 20:44:12, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2405, top5_acc: 0.4900, loss_cls: 7.1259, loss: 7.1259 2023-12-29 15:46:13,899 - pyskl - INFO - Epoch [9][3400/3746] lr: 9.913e-02, eta: 3 days, 20:42:31, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.4928, loss_cls: 7.0987, loss: 7.0987 2023-12-29 15:47:13,820 - pyskl - INFO - Epoch [9][3500/3746] lr: 9.913e-02, eta: 3 days, 20:40:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4916, loss_cls: 7.1462, loss: 7.1462 2023-12-29 15:48:13,462 - pyskl - INFO - Epoch [9][3600/3746] lr: 9.912e-02, eta: 3 days, 20:38:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.4981, loss_cls: 7.0693, loss: 7.0693 2023-12-29 15:49:13,098 - pyskl - INFO - Epoch [9][3700/3746] lr: 9.912e-02, eta: 3 days, 20:36:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.4953, loss_cls: 7.0955, loss: 7.0955 2023-12-29 15:49:43,263 - pyskl - INFO - Saving checkpoint at 9 epochs 2023-12-29 15:51:42,317 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 15:51:43,400 - pyskl - INFO - top1_acc 0.1799 top5_acc 0.4092 2023-12-29 15:51:43,400 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 15:51:43,438 - pyskl - INFO - mean_acc 0.1797 2023-12-29 15:51:43,444 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_7.pth was removed 2023-12-29 15:51:43,735 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. 2023-12-29 15:51:43,736 - pyskl - INFO - Best top1_acc is 0.1799 at 9 epoch. 2023-12-29 15:51:43,745 - pyskl - INFO - Epoch(val) [9][309] top1_acc: 0.1799, top5_acc: 0.4092, mean_class_accuracy: 0.1797 2023-12-29 15:55:01,484 - pyskl - INFO - Epoch [10][100/3746] lr: 9.911e-02, eta: 3 days, 21:02:37, time: 1.977, data_time: 1.376, memory: 16177, top1_acc: 0.2519, top5_acc: 0.5058, loss_cls: 7.0606, loss: 7.0606 2023-12-29 15:56:02,346 - pyskl - INFO - Epoch [10][200/3746] lr: 9.910e-02, eta: 3 days, 21:00:54, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5056, loss_cls: 7.0676, loss: 7.0676 2023-12-29 15:57:02,838 - pyskl - INFO - Epoch [10][300/3746] lr: 9.910e-02, eta: 3 days, 20:59:05, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2409, top5_acc: 0.4856, loss_cls: 7.1101, loss: 7.1101 2023-12-29 15:58:02,529 - pyskl - INFO - Epoch [10][400/3746] lr: 9.909e-02, eta: 3 days, 20:57:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5020, loss_cls: 7.0683, loss: 7.0683 2023-12-29 15:59:02,341 - pyskl - INFO - Epoch [10][500/3746] lr: 9.909e-02, eta: 3 days, 20:55:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4903, loss_cls: 7.0915, loss: 7.0915 2023-12-29 16:00:01,927 - pyskl - INFO - Epoch [10][600/3746] lr: 9.908e-02, eta: 3 days, 20:53:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2442, top5_acc: 0.4867, loss_cls: 7.1160, loss: 7.1160 2023-12-29 16:01:01,512 - pyskl - INFO - Epoch [10][700/3746] lr: 9.908e-02, eta: 3 days, 20:51:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4970, loss_cls: 7.0605, loss: 7.0605 2023-12-29 16:02:01,216 - pyskl - INFO - Epoch [10][800/3746] lr: 9.907e-02, eta: 3 days, 20:49:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5047, loss_cls: 7.0365, loss: 7.0365 2023-12-29 16:03:01,937 - pyskl - INFO - Epoch [10][900/3746] lr: 9.907e-02, eta: 3 days, 20:47:19, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.4919, loss_cls: 7.1153, loss: 7.1153 2023-12-29 16:04:02,339 - pyskl - INFO - Epoch [10][1000/3746] lr: 9.906e-02, eta: 3 days, 20:45:31, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.4928, loss_cls: 7.1160, loss: 7.1160 2023-12-29 16:05:02,688 - pyskl - INFO - Epoch [10][1100/3746] lr: 9.906e-02, eta: 3 days, 20:43:42, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5050, loss_cls: 7.0564, loss: 7.0564 2023-12-29 16:06:03,912 - pyskl - INFO - Epoch [10][1200/3746] lr: 9.905e-02, eta: 3 days, 20:42:07, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.4886, loss_cls: 7.0894, loss: 7.0894 2023-12-29 16:07:04,644 - pyskl - INFO - Epoch [10][1300/3746] lr: 9.905e-02, eta: 3 days, 20:40:24, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5009, loss_cls: 7.0569, loss: 7.0569 2023-12-29 16:08:05,358 - pyskl - INFO - Epoch [10][1400/3746] lr: 9.904e-02, eta: 3 days, 20:38:42, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4847, loss_cls: 7.1310, loss: 7.1310 2023-12-29 16:09:05,734 - pyskl - INFO - Epoch [10][1500/3746] lr: 9.903e-02, eta: 3 days, 20:36:55, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4970, loss_cls: 7.0883, loss: 7.0883 2023-12-29 16:10:06,112 - pyskl - INFO - Epoch [10][1600/3746] lr: 9.903e-02, eta: 3 days, 20:35:08, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2406, top5_acc: 0.4872, loss_cls: 7.1252, loss: 7.1252 2023-12-29 16:11:05,850 - pyskl - INFO - Epoch [10][1700/3746] lr: 9.902e-02, eta: 3 days, 20:33:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.5031, loss_cls: 7.0920, loss: 7.0920 2023-12-29 16:12:05,381 - pyskl - INFO - Epoch [10][1800/3746] lr: 9.902e-02, eta: 3 days, 20:31:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.5014, loss_cls: 7.0725, loss: 7.0725 2023-12-29 16:13:04,835 - pyskl - INFO - Epoch [10][1900/3746] lr: 9.901e-02, eta: 3 days, 20:29:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4948, loss_cls: 7.1007, loss: 7.1007 2023-12-29 16:14:04,321 - pyskl - INFO - Epoch [10][2000/3746] lr: 9.901e-02, eta: 3 days, 20:27:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5030, loss_cls: 7.0756, loss: 7.0756 2023-12-29 16:15:03,875 - pyskl - INFO - Epoch [10][2100/3746] lr: 9.900e-02, eta: 3 days, 20:25:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4892, loss_cls: 7.1056, loss: 7.1056 2023-12-29 16:16:03,225 - pyskl - INFO - Epoch [10][2200/3746] lr: 9.900e-02, eta: 3 days, 20:23:16, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.4925, loss_cls: 7.0783, loss: 7.0783 2023-12-29 16:17:02,679 - pyskl - INFO - Epoch [10][2300/3746] lr: 9.899e-02, eta: 3 days, 20:21:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2377, top5_acc: 0.4867, loss_cls: 7.1339, loss: 7.1339 2023-12-29 16:18:02,708 - pyskl - INFO - Epoch [10][2400/3746] lr: 9.898e-02, eta: 3 days, 20:19:28, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2455, top5_acc: 0.4925, loss_cls: 7.0958, loss: 7.0958 2023-12-29 16:19:02,601 - pyskl - INFO - Epoch [10][2500/3746] lr: 9.898e-02, eta: 3 days, 20:17:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2356, top5_acc: 0.4847, loss_cls: 7.1374, loss: 7.1374 2023-12-29 16:20:03,266 - pyskl - INFO - Epoch [10][2600/3746] lr: 9.897e-02, eta: 3 days, 20:15:56, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4900, loss_cls: 7.1076, loss: 7.1076 2023-12-29 16:21:03,225 - pyskl - INFO - Epoch [10][2700/3746] lr: 9.897e-02, eta: 3 days, 20:14:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2444, top5_acc: 0.4950, loss_cls: 7.0719, loss: 7.0719 2023-12-29 16:22:03,586 - pyskl - INFO - Epoch [10][2800/3746] lr: 9.896e-02, eta: 3 days, 20:12:23, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4861, loss_cls: 7.1471, loss: 7.1471 2023-12-29 16:23:03,076 - pyskl - INFO - Epoch [10][2900/3746] lr: 9.896e-02, eta: 3 days, 20:10:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.5006, loss_cls: 7.1023, loss: 7.1023 2023-12-29 16:24:03,033 - pyskl - INFO - Epoch [10][3000/3746] lr: 9.895e-02, eta: 3 days, 20:08:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.4988, loss_cls: 7.0676, loss: 7.0676 2023-12-29 16:25:03,403 - pyskl - INFO - Epoch [10][3100/3746] lr: 9.894e-02, eta: 3 days, 20:06:54, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.4997, loss_cls: 7.0588, loss: 7.0588 2023-12-29 16:26:03,189 - pyskl - INFO - Epoch [10][3200/3746] lr: 9.894e-02, eta: 3 days, 20:05:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.5056, loss_cls: 7.0762, loss: 7.0762 2023-12-29 16:27:02,841 - pyskl - INFO - Epoch [10][3300/3746] lr: 9.893e-02, eta: 3 days, 20:03:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4916, loss_cls: 7.0876, loss: 7.0876 2023-12-29 16:28:02,398 - pyskl - INFO - Epoch [10][3400/3746] lr: 9.893e-02, eta: 3 days, 20:01:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.4920, loss_cls: 7.1026, loss: 7.1026 2023-12-29 16:29:02,057 - pyskl - INFO - Epoch [10][3500/3746] lr: 9.892e-02, eta: 3 days, 19:59:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2441, top5_acc: 0.4834, loss_cls: 7.1195, loss: 7.1195 2023-12-29 16:30:01,649 - pyskl - INFO - Epoch [10][3600/3746] lr: 9.892e-02, eta: 3 days, 19:57:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2455, top5_acc: 0.4966, loss_cls: 7.0822, loss: 7.0822 2023-12-29 16:31:01,218 - pyskl - INFO - Epoch [10][3700/3746] lr: 9.891e-02, eta: 3 days, 19:55:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.4988, loss_cls: 7.0387, loss: 7.0387 2023-12-29 16:31:31,009 - pyskl - INFO - Saving checkpoint at 10 epochs 2023-12-29 16:33:30,680 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 16:33:31,621 - pyskl - INFO - top1_acc 0.1686 top5_acc 0.3873 2023-12-29 16:33:31,621 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 16:33:31,658 - pyskl - INFO - mean_acc 0.1684 2023-12-29 16:33:31,667 - pyskl - INFO - Epoch(val) [10][309] top1_acc: 0.1686, top5_acc: 0.3873, mean_class_accuracy: 0.1684 2023-12-29 16:36:46,912 - pyskl - INFO - Epoch [11][100/3746] lr: 9.890e-02, eta: 3 days, 20:18:07, time: 1.952, data_time: 1.355, memory: 16177, top1_acc: 0.2614, top5_acc: 0.4950, loss_cls: 7.0680, loss: 7.0680 2023-12-29 16:37:47,922 - pyskl - INFO - Epoch [11][200/3746] lr: 9.890e-02, eta: 3 days, 20:16:30, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.4966, loss_cls: 7.0624, loss: 7.0624 2023-12-29 16:38:47,676 - pyskl - INFO - Epoch [11][300/3746] lr: 9.889e-02, eta: 3 days, 20:14:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.4986, loss_cls: 7.0588, loss: 7.0588 2023-12-29 16:39:47,410 - pyskl - INFO - Epoch [11][400/3746] lr: 9.888e-02, eta: 3 days, 20:12:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5025, loss_cls: 7.0512, loss: 7.0512 2023-12-29 16:40:47,515 - pyskl - INFO - Epoch [11][500/3746] lr: 9.888e-02, eta: 3 days, 20:10:55, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5036, loss_cls: 7.0641, loss: 7.0641 2023-12-29 16:41:47,546 - pyskl - INFO - Epoch [11][600/3746] lr: 9.887e-02, eta: 3 days, 20:09:06, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4981, loss_cls: 7.0647, loss: 7.0647 2023-12-29 16:42:47,359 - pyskl - INFO - Epoch [11][700/3746] lr: 9.887e-02, eta: 3 days, 20:07:15, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.5003, loss_cls: 7.0627, loss: 7.0627 2023-12-29 16:43:48,080 - pyskl - INFO - Epoch [11][800/3746] lr: 9.886e-02, eta: 3 days, 20:05:36, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5019, loss_cls: 7.0687, loss: 7.0687 2023-12-29 16:44:48,043 - pyskl - INFO - Epoch [11][900/3746] lr: 9.885e-02, eta: 3 days, 20:03:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.4927, loss_cls: 7.1057, loss: 7.1057 2023-12-29 16:45:47,946 - pyskl - INFO - Epoch [11][1000/3746] lr: 9.885e-02, eta: 3 days, 20:01:57, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.4964, loss_cls: 7.0954, loss: 7.0954 2023-12-29 16:46:47,977 - pyskl - INFO - Epoch [11][1100/3746] lr: 9.884e-02, eta: 3 days, 20:00:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.4945, loss_cls: 7.0914, loss: 7.0914 2023-12-29 16:47:47,834 - pyskl - INFO - Epoch [11][1200/3746] lr: 9.884e-02, eta: 3 days, 19:58:20, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5038, loss_cls: 7.0445, loss: 7.0445 2023-12-29 16:48:48,571 - pyskl - INFO - Epoch [11][1300/3746] lr: 9.883e-02, eta: 3 days, 19:56:42, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.4941, loss_cls: 7.0535, loss: 7.0535 2023-12-29 16:49:48,149 - pyskl - INFO - Epoch [11][1400/3746] lr: 9.882e-02, eta: 3 days, 19:54:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.4967, loss_cls: 7.0571, loss: 7.0571 2023-12-29 16:50:48,120 - pyskl - INFO - Epoch [11][1500/3746] lr: 9.882e-02, eta: 3 days, 19:53:02, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.4983, loss_cls: 7.0661, loss: 7.0661 2023-12-29 16:51:48,772 - pyskl - INFO - Epoch [11][1600/3746] lr: 9.881e-02, eta: 3 days, 19:51:24, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2497, top5_acc: 0.4953, loss_cls: 7.0944, loss: 7.0944 2023-12-29 16:52:48,263 - pyskl - INFO - Epoch [11][1700/3746] lr: 9.881e-02, eta: 3 days, 19:49:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2448, top5_acc: 0.4889, loss_cls: 7.0820, loss: 7.0820 2023-12-29 16:53:47,711 - pyskl - INFO - Epoch [11][1800/3746] lr: 9.880e-02, eta: 3 days, 19:47:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.4986, loss_cls: 7.0631, loss: 7.0631 2023-12-29 16:54:48,439 - pyskl - INFO - Epoch [11][1900/3746] lr: 9.879e-02, eta: 3 days, 19:46:00, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5045, loss_cls: 7.0356, loss: 7.0356 2023-12-29 16:55:48,767 - pyskl - INFO - Epoch [11][2000/3746] lr: 9.879e-02, eta: 3 days, 19:44:18, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2528, top5_acc: 0.5030, loss_cls: 7.0677, loss: 7.0677 2023-12-29 16:56:48,886 - pyskl - INFO - Epoch [11][2100/3746] lr: 9.878e-02, eta: 3 days, 19:42:34, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4898, loss_cls: 7.0897, loss: 7.0897 2023-12-29 16:57:48,763 - pyskl - INFO - Epoch [11][2200/3746] lr: 9.878e-02, eta: 3 days, 19:40:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2497, top5_acc: 0.4973, loss_cls: 7.0748, loss: 7.0748 2023-12-29 16:58:48,358 - pyskl - INFO - Epoch [11][2300/3746] lr: 9.877e-02, eta: 3 days, 19:38:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2494, top5_acc: 0.4895, loss_cls: 7.0757, loss: 7.0757 2023-12-29 16:59:48,014 - pyskl - INFO - Epoch [11][2400/3746] lr: 9.876e-02, eta: 3 days, 19:37:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2528, top5_acc: 0.4934, loss_cls: 7.0670, loss: 7.0670 2023-12-29 17:00:47,505 - pyskl - INFO - Epoch [11][2500/3746] lr: 9.876e-02, eta: 3 days, 19:35:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.4922, loss_cls: 7.0767, loss: 7.0767 2023-12-29 17:01:47,190 - pyskl - INFO - Epoch [11][2600/3746] lr: 9.875e-02, eta: 3 days, 19:33:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2456, top5_acc: 0.4958, loss_cls: 7.0918, loss: 7.0918 2023-12-29 17:02:46,951 - pyskl - INFO - Epoch [11][2700/3746] lr: 9.874e-02, eta: 3 days, 19:31:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5039, loss_cls: 7.0317, loss: 7.0317 2023-12-29 17:03:46,779 - pyskl - INFO - Epoch [11][2800/3746] lr: 9.874e-02, eta: 3 days, 19:29:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2441, top5_acc: 0.4855, loss_cls: 7.1141, loss: 7.1141 2023-12-29 17:04:46,705 - pyskl - INFO - Epoch [11][2900/3746] lr: 9.873e-02, eta: 3 days, 19:28:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4984, loss_cls: 7.0964, loss: 7.0964 2023-12-29 17:05:47,589 - pyskl - INFO - Epoch [11][3000/3746] lr: 9.873e-02, eta: 3 days, 19:26:37, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.4945, loss_cls: 7.0862, loss: 7.0862 2023-12-29 17:06:48,471 - pyskl - INFO - Epoch [11][3100/3746] lr: 9.872e-02, eta: 3 days, 19:25:05, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2366, top5_acc: 0.4858, loss_cls: 7.1366, loss: 7.1366 2023-12-29 17:07:49,229 - pyskl - INFO - Epoch [11][3200/3746] lr: 9.871e-02, eta: 3 days, 19:23:31, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2470, top5_acc: 0.5017, loss_cls: 7.0401, loss: 7.0401 2023-12-29 17:08:49,633 - pyskl - INFO - Epoch [11][3300/3746] lr: 9.871e-02, eta: 3 days, 19:21:53, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2437, top5_acc: 0.4792, loss_cls: 7.1367, loss: 7.1367 2023-12-29 17:09:49,971 - pyskl - INFO - Epoch [11][3400/3746] lr: 9.870e-02, eta: 3 days, 19:20:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5027, loss_cls: 7.0534, loss: 7.0534 2023-12-29 17:10:50,071 - pyskl - INFO - Epoch [11][3500/3746] lr: 9.869e-02, eta: 3 days, 19:18:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.4923, loss_cls: 7.0848, loss: 7.0848 2023-12-29 17:11:49,626 - pyskl - INFO - Epoch [11][3600/3746] lr: 9.869e-02, eta: 3 days, 19:16:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2459, top5_acc: 0.4983, loss_cls: 7.0488, loss: 7.0488 2023-12-29 17:12:49,403 - pyskl - INFO - Epoch [11][3700/3746] lr: 9.868e-02, eta: 3 days, 19:15:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4823, loss_cls: 7.1037, loss: 7.1037 2023-12-29 17:13:19,187 - pyskl - INFO - Saving checkpoint at 11 epochs 2023-12-29 17:15:16,474 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 17:15:17,559 - pyskl - INFO - top1_acc 0.1839 top5_acc 0.4102 2023-12-29 17:15:17,559 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 17:15:17,597 - pyskl - INFO - mean_acc 0.1838 2023-12-29 17:15:17,603 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_9.pth was removed 2023-12-29 17:15:17,888 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. 2023-12-29 17:15:17,889 - pyskl - INFO - Best top1_acc is 0.1839 at 11 epoch. 2023-12-29 17:15:17,897 - pyskl - INFO - Epoch(val) [11][309] top1_acc: 0.1839, top5_acc: 0.4102, mean_class_accuracy: 0.1838 2023-12-29 17:18:37,335 - pyskl - INFO - Epoch [12][100/3746] lr: 9.867e-02, eta: 3 days, 19:36:01, time: 1.994, data_time: 1.399, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5114, loss_cls: 6.9860, loss: 6.9860 2023-12-29 17:19:37,745 - pyskl - INFO - Epoch [12][200/3746] lr: 9.867e-02, eta: 3 days, 19:34:21, time: 0.604, data_time: 0.001, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5005, loss_cls: 7.0275, loss: 7.0275 2023-12-29 17:20:37,883 - pyskl - INFO - Epoch [12][300/3746] lr: 9.866e-02, eta: 3 days, 19:32:37, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.4980, loss_cls: 7.0227, loss: 7.0227 2023-12-29 17:21:37,591 - pyskl - INFO - Epoch [12][400/3746] lr: 9.865e-02, eta: 3 days, 19:30:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5017, loss_cls: 7.0477, loss: 7.0477 2023-12-29 17:22:37,178 - pyskl - INFO - Epoch [12][500/3746] lr: 9.865e-02, eta: 3 days, 19:28:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2422, top5_acc: 0.4878, loss_cls: 7.0843, loss: 7.0843 2023-12-29 17:23:36,720 - pyskl - INFO - Epoch [12][600/3746] lr: 9.864e-02, eta: 3 days, 19:27:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.5092, loss_cls: 7.0326, loss: 7.0326 2023-12-29 17:24:36,232 - pyskl - INFO - Epoch [12][700/3746] lr: 9.863e-02, eta: 3 days, 19:25:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5038, loss_cls: 7.0146, loss: 7.0146 2023-12-29 17:25:35,937 - pyskl - INFO - Epoch [12][800/3746] lr: 9.863e-02, eta: 3 days, 19:23:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4886, loss_cls: 7.0921, loss: 7.0921 2023-12-29 17:26:35,613 - pyskl - INFO - Epoch [12][900/3746] lr: 9.862e-02, eta: 3 days, 19:21:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2455, top5_acc: 0.4956, loss_cls: 7.1013, loss: 7.1013 2023-12-29 17:27:35,057 - pyskl - INFO - Epoch [12][1000/3746] lr: 9.861e-02, eta: 3 days, 19:19:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5025, loss_cls: 7.0394, loss: 7.0394 2023-12-29 17:28:34,489 - pyskl - INFO - Epoch [12][1100/3746] lr: 9.861e-02, eta: 3 days, 19:18:02, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.4975, loss_cls: 7.0618, loss: 7.0618 2023-12-29 17:29:34,247 - pyskl - INFO - Epoch [12][1200/3746] lr: 9.860e-02, eta: 3 days, 19:16:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.4961, loss_cls: 7.0711, loss: 7.0711 2023-12-29 17:30:33,745 - pyskl - INFO - Epoch [12][1300/3746] lr: 9.859e-02, eta: 3 days, 19:14:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5050, loss_cls: 7.0287, loss: 7.0287 2023-12-29 17:31:33,065 - pyskl - INFO - Epoch [12][1400/3746] lr: 9.859e-02, eta: 3 days, 19:12:35, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4984, loss_cls: 7.0728, loss: 7.0728 2023-12-29 17:32:32,407 - pyskl - INFO - Epoch [12][1500/3746] lr: 9.858e-02, eta: 3 days, 19:10:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5047, loss_cls: 7.0570, loss: 7.0570 2023-12-29 17:33:31,826 - pyskl - INFO - Epoch [12][1600/3746] lr: 9.857e-02, eta: 3 days, 19:08:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5006, loss_cls: 7.0404, loss: 7.0404 2023-12-29 17:34:31,337 - pyskl - INFO - Epoch [12][1700/3746] lr: 9.857e-02, eta: 3 days, 19:07:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.4958, loss_cls: 7.0603, loss: 7.0603 2023-12-29 17:35:30,898 - pyskl - INFO - Epoch [12][1800/3746] lr: 9.856e-02, eta: 3 days, 19:05:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2416, top5_acc: 0.4963, loss_cls: 7.0849, loss: 7.0849 2023-12-29 17:36:30,364 - pyskl - INFO - Epoch [12][1900/3746] lr: 9.855e-02, eta: 3 days, 19:03:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2450, top5_acc: 0.5003, loss_cls: 7.0837, loss: 7.0837 2023-12-29 17:37:29,945 - pyskl - INFO - Epoch [12][2000/3746] lr: 9.855e-02, eta: 3 days, 19:01:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.5048, loss_cls: 7.0406, loss: 7.0406 2023-12-29 17:38:29,351 - pyskl - INFO - Epoch [12][2100/3746] lr: 9.854e-02, eta: 3 days, 18:59:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2459, top5_acc: 0.4878, loss_cls: 7.0984, loss: 7.0984 2023-12-29 17:39:28,846 - pyskl - INFO - Epoch [12][2200/3746] lr: 9.853e-02, eta: 3 days, 18:58:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5022, loss_cls: 7.0349, loss: 7.0349 2023-12-29 17:40:28,481 - pyskl - INFO - Epoch [12][2300/3746] lr: 9.853e-02, eta: 3 days, 18:56:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5000, loss_cls: 7.0226, loss: 7.0226 2023-12-29 17:41:27,884 - pyskl - INFO - Epoch [12][2400/3746] lr: 9.852e-02, eta: 3 days, 18:54:37, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2425, top5_acc: 0.4934, loss_cls: 7.0835, loss: 7.0835 2023-12-29 17:42:27,660 - pyskl - INFO - Epoch [12][2500/3746] lr: 9.851e-02, eta: 3 days, 18:52:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2528, top5_acc: 0.5056, loss_cls: 7.0569, loss: 7.0569 2023-12-29 17:43:27,066 - pyskl - INFO - Epoch [12][2600/3746] lr: 9.851e-02, eta: 3 days, 18:51:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4933, loss_cls: 7.0984, loss: 7.0984 2023-12-29 17:44:26,574 - pyskl - INFO - Epoch [12][2700/3746] lr: 9.850e-02, eta: 3 days, 18:49:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4931, loss_cls: 7.1003, loss: 7.1003 2023-12-29 17:45:26,100 - pyskl - INFO - Epoch [12][2800/3746] lr: 9.849e-02, eta: 3 days, 18:47:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2470, top5_acc: 0.4911, loss_cls: 7.0763, loss: 7.0763 2023-12-29 17:46:25,494 - pyskl - INFO - Epoch [12][2900/3746] lr: 9.849e-02, eta: 3 days, 18:45:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.4967, loss_cls: 7.0467, loss: 7.0467 2023-12-29 17:47:25,085 - pyskl - INFO - Epoch [12][3000/3746] lr: 9.848e-02, eta: 3 days, 18:44:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.5081, loss_cls: 7.0750, loss: 7.0750 2023-12-29 17:48:25,501 - pyskl - INFO - Epoch [12][3100/3746] lr: 9.847e-02, eta: 3 days, 18:42:30, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.4978, loss_cls: 7.0578, loss: 7.0578 2023-12-29 17:49:25,229 - pyskl - INFO - Epoch [12][3200/3746] lr: 9.847e-02, eta: 3 days, 18:40:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2422, top5_acc: 0.4834, loss_cls: 7.1269, loss: 7.1269 2023-12-29 17:50:24,735 - pyskl - INFO - Epoch [12][3300/3746] lr: 9.846e-02, eta: 3 days, 18:39:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5039, loss_cls: 7.0523, loss: 7.0523 2023-12-29 17:51:24,329 - pyskl - INFO - Epoch [12][3400/3746] lr: 9.845e-02, eta: 3 days, 18:37:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5070, loss_cls: 7.0231, loss: 7.0231 2023-12-29 17:52:23,844 - pyskl - INFO - Epoch [12][3500/3746] lr: 9.845e-02, eta: 3 days, 18:35:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4883, loss_cls: 7.1068, loss: 7.1068 2023-12-29 17:53:23,838 - pyskl - INFO - Epoch [12][3600/3746] lr: 9.844e-02, eta: 3 days, 18:33:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4847, loss_cls: 7.0748, loss: 7.0748 2023-12-29 17:54:23,376 - pyskl - INFO - Epoch [12][3700/3746] lr: 9.843e-02, eta: 3 days, 18:32:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5022, loss_cls: 7.0473, loss: 7.0473 2023-12-29 17:54:53,578 - pyskl - INFO - Saving checkpoint at 12 epochs 2023-12-29 17:56:53,476 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 17:56:54,314 - pyskl - INFO - top1_acc 0.1819 top5_acc 0.3935 2023-12-29 17:56:54,315 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 17:56:54,363 - pyskl - INFO - mean_acc 0.1816 2023-12-29 17:56:54,376 - pyskl - INFO - Epoch(val) [12][309] top1_acc: 0.1819, top5_acc: 0.3935, mean_class_accuracy: 0.1816 2023-12-29 18:00:13,581 - pyskl - INFO - Epoch [13][100/3746] lr: 9.842e-02, eta: 3 days, 18:51:11, time: 1.992, data_time: 1.398, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5069, loss_cls: 7.0236, loss: 7.0236 2023-12-29 18:01:13,466 - pyskl - INFO - Epoch [13][200/3746] lr: 9.842e-02, eta: 3 days, 18:49:29, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5105, loss_cls: 7.0093, loss: 7.0093 2023-12-29 18:02:13,670 - pyskl - INFO - Epoch [13][300/3746] lr: 9.841e-02, eta: 3 days, 18:47:50, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5073, loss_cls: 7.0575, loss: 7.0575 2023-12-29 18:03:13,707 - pyskl - INFO - Epoch [13][400/3746] lr: 9.840e-02, eta: 3 days, 18:46:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2417, top5_acc: 0.4950, loss_cls: 7.0925, loss: 7.0925 2023-12-29 18:04:13,676 - pyskl - INFO - Epoch [13][500/3746] lr: 9.839e-02, eta: 3 days, 18:44:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4944, loss_cls: 7.0746, loss: 7.0746 2023-12-29 18:05:13,263 - pyskl - INFO - Epoch [13][600/3746] lr: 9.839e-02, eta: 3 days, 18:42:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2506, top5_acc: 0.4908, loss_cls: 7.0873, loss: 7.0873 2023-12-29 18:06:12,866 - pyskl - INFO - Epoch [13][700/3746] lr: 9.838e-02, eta: 3 days, 18:41:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.5003, loss_cls: 7.0588, loss: 7.0588 2023-12-29 18:07:12,653 - pyskl - INFO - Epoch [13][800/3746] lr: 9.837e-02, eta: 3 days, 18:39:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4981, loss_cls: 7.0392, loss: 7.0392 2023-12-29 18:08:12,430 - pyskl - INFO - Epoch [13][900/3746] lr: 9.837e-02, eta: 3 days, 18:37:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2436, top5_acc: 0.5002, loss_cls: 7.0456, loss: 7.0456 2023-12-29 18:09:12,940 - pyskl - INFO - Epoch [13][1000/3746] lr: 9.836e-02, eta: 3 days, 18:36:02, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.4983, loss_cls: 7.0413, loss: 7.0413 2023-12-29 18:10:14,074 - pyskl - INFO - Epoch [13][1100/3746] lr: 9.835e-02, eta: 3 days, 18:34:36, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.4967, loss_cls: 7.0585, loss: 7.0585 2023-12-29 18:11:14,704 - pyskl - INFO - Epoch [13][1200/3746] lr: 9.834e-02, eta: 3 days, 18:33:04, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2550, top5_acc: 0.4927, loss_cls: 7.0539, loss: 7.0539 2023-12-29 18:12:15,364 - pyskl - INFO - Epoch [13][1300/3746] lr: 9.834e-02, eta: 3 days, 18:31:32, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.5000, loss_cls: 7.0545, loss: 7.0545 2023-12-29 18:13:15,410 - pyskl - INFO - Epoch [13][1400/3746] lr: 9.833e-02, eta: 3 days, 18:29:54, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.5052, loss_cls: 7.0395, loss: 7.0395 2023-12-29 18:14:16,135 - pyskl - INFO - Epoch [13][1500/3746] lr: 9.832e-02, eta: 3 days, 18:28:23, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2408, top5_acc: 0.4934, loss_cls: 7.0799, loss: 7.0799 2023-12-29 18:15:16,895 - pyskl - INFO - Epoch [13][1600/3746] lr: 9.832e-02, eta: 3 days, 18:26:53, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5052, loss_cls: 7.0307, loss: 7.0307 2023-12-29 18:16:16,703 - pyskl - INFO - Epoch [13][1700/3746] lr: 9.831e-02, eta: 3 days, 18:25:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.5027, loss_cls: 7.0426, loss: 7.0426 2023-12-29 18:17:16,692 - pyskl - INFO - Epoch [13][1800/3746] lr: 9.830e-02, eta: 3 days, 18:23:34, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2397, top5_acc: 0.4863, loss_cls: 7.1391, loss: 7.1391 2023-12-29 18:18:16,694 - pyskl - INFO - Epoch [13][1900/3746] lr: 9.829e-02, eta: 3 days, 18:21:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5048, loss_cls: 7.0117, loss: 7.0117 2023-12-29 18:19:17,198 - pyskl - INFO - Epoch [13][2000/3746] lr: 9.829e-02, eta: 3 days, 18:20:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.5022, loss_cls: 7.0436, loss: 7.0436 2023-12-29 18:20:17,609 - pyskl - INFO - Epoch [13][2100/3746] lr: 9.828e-02, eta: 3 days, 18:18:51, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5025, loss_cls: 7.0280, loss: 7.0280 2023-12-29 18:21:17,680 - pyskl - INFO - Epoch [13][2200/3746] lr: 9.827e-02, eta: 3 days, 18:17:14, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5119, loss_cls: 7.0170, loss: 7.0170 2023-12-29 18:22:17,294 - pyskl - INFO - Epoch [13][2300/3746] lr: 9.827e-02, eta: 3 days, 18:15:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.4925, loss_cls: 7.0743, loss: 7.0743 2023-12-29 18:23:17,639 - pyskl - INFO - Epoch [13][2400/3746] lr: 9.826e-02, eta: 3 days, 18:13:59, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.5016, loss_cls: 7.0596, loss: 7.0596 2023-12-29 18:24:18,346 - pyskl - INFO - Epoch [13][2500/3746] lr: 9.825e-02, eta: 3 days, 18:12:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5027, loss_cls: 7.0735, loss: 7.0735 2023-12-29 18:25:18,775 - pyskl - INFO - Epoch [13][2600/3746] lr: 9.824e-02, eta: 3 days, 18:10:57, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5019, loss_cls: 7.0057, loss: 7.0057 2023-12-29 18:26:18,445 - pyskl - INFO - Epoch [13][2700/3746] lr: 9.824e-02, eta: 3 days, 18:09:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.5012, loss_cls: 7.0572, loss: 7.0572 2023-12-29 18:27:18,219 - pyskl - INFO - Epoch [13][2800/3746] lr: 9.823e-02, eta: 3 days, 18:07:38, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5020, loss_cls: 7.0190, loss: 7.0190 2023-12-29 18:28:18,047 - pyskl - INFO - Epoch [13][2900/3746] lr: 9.822e-02, eta: 3 days, 18:05:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4972, loss_cls: 7.0504, loss: 7.0504 2023-12-29 18:29:17,929 - pyskl - INFO - Epoch [13][3000/3746] lr: 9.821e-02, eta: 3 days, 18:04:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.4897, loss_cls: 7.0762, loss: 7.0762 2023-12-29 18:30:17,615 - pyskl - INFO - Epoch [13][3100/3746] lr: 9.821e-02, eta: 3 days, 18:02:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4934, loss_cls: 7.0671, loss: 7.0671 2023-12-29 18:31:17,223 - pyskl - INFO - Epoch [13][3200/3746] lr: 9.820e-02, eta: 3 days, 18:01:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5036, loss_cls: 7.0044, loss: 7.0044 2023-12-29 18:32:16,703 - pyskl - INFO - Epoch [13][3300/3746] lr: 9.819e-02, eta: 3 days, 17:59:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4922, loss_cls: 7.0748, loss: 7.0748 2023-12-29 18:33:16,340 - pyskl - INFO - Epoch [13][3400/3746] lr: 9.818e-02, eta: 3 days, 17:57:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.5036, loss_cls: 7.0217, loss: 7.0217 2023-12-29 18:34:15,989 - pyskl - INFO - Epoch [13][3500/3746] lr: 9.818e-02, eta: 3 days, 17:56:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.4958, loss_cls: 7.0483, loss: 7.0483 2023-12-29 18:35:15,674 - pyskl - INFO - Epoch [13][3600/3746] lr: 9.817e-02, eta: 3 days, 17:54:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.5012, loss_cls: 7.0426, loss: 7.0426 2023-12-29 18:36:15,470 - pyskl - INFO - Epoch [13][3700/3746] lr: 9.816e-02, eta: 3 days, 17:52:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.4936, loss_cls: 7.0528, loss: 7.0528 2023-12-29 18:36:45,409 - pyskl - INFO - Saving checkpoint at 13 epochs 2023-12-29 18:38:43,320 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 18:38:44,326 - pyskl - INFO - top1_acc 0.1956 top5_acc 0.4223 2023-12-29 18:38:44,326 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 18:38:44,370 - pyskl - INFO - mean_acc 0.1954 2023-12-29 18:38:44,376 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_11.pth was removed 2023-12-29 18:38:44,674 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. 2023-12-29 18:38:44,675 - pyskl - INFO - Best top1_acc is 0.1956 at 13 epoch. 2023-12-29 18:38:44,691 - pyskl - INFO - Epoch(val) [13][309] top1_acc: 0.1956, top5_acc: 0.4223, mean_class_accuracy: 0.1954 2023-12-29 18:42:05,808 - pyskl - INFO - Epoch [14][100/3746] lr: 9.815e-02, eta: 3 days, 18:10:21, time: 2.011, data_time: 1.414, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5047, loss_cls: 7.0100, loss: 7.0100 2023-12-29 18:43:05,945 - pyskl - INFO - Epoch [14][200/3746] lr: 9.814e-02, eta: 3 days, 18:08:44, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2550, top5_acc: 0.5064, loss_cls: 7.0254, loss: 7.0254 2023-12-29 18:44:06,383 - pyskl - INFO - Epoch [14][300/3746] lr: 9.814e-02, eta: 3 days, 18:07:12, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5019, loss_cls: 7.0133, loss: 7.0133 2023-12-29 18:45:06,286 - pyskl - INFO - Epoch [14][400/3746] lr: 9.813e-02, eta: 3 days, 18:05:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2414, top5_acc: 0.4913, loss_cls: 7.0893, loss: 7.0893 2023-12-29 18:46:06,116 - pyskl - INFO - Epoch [14][500/3746] lr: 9.812e-02, eta: 3 days, 18:03:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2550, top5_acc: 0.5059, loss_cls: 7.0275, loss: 7.0275 2023-12-29 18:47:05,929 - pyskl - INFO - Epoch [14][600/3746] lr: 9.811e-02, eta: 3 days, 18:02:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5123, loss_cls: 6.9800, loss: 6.9800 2023-12-29 18:48:05,775 - pyskl - INFO - Epoch [14][700/3746] lr: 9.811e-02, eta: 3 days, 18:00:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.4973, loss_cls: 7.0366, loss: 7.0366 2023-12-29 18:49:05,401 - pyskl - INFO - Epoch [14][800/3746] lr: 9.810e-02, eta: 3 days, 17:58:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5070, loss_cls: 7.0263, loss: 7.0263 2023-12-29 18:50:04,822 - pyskl - INFO - Epoch [14][900/3746] lr: 9.809e-02, eta: 3 days, 17:57:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5064, loss_cls: 7.0080, loss: 7.0080 2023-12-29 18:51:04,401 - pyskl - INFO - Epoch [14][1000/3746] lr: 9.808e-02, eta: 3 days, 17:55:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5084, loss_cls: 7.0001, loss: 7.0001 2023-12-29 18:52:04,673 - pyskl - INFO - Epoch [14][1100/3746] lr: 9.807e-02, eta: 3 days, 17:54:00, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5056, loss_cls: 7.0054, loss: 7.0054 2023-12-29 18:53:05,727 - pyskl - INFO - Epoch [14][1200/3746] lr: 9.807e-02, eta: 3 days, 17:52:35, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2497, top5_acc: 0.4977, loss_cls: 7.0742, loss: 7.0742 2023-12-29 18:54:06,513 - pyskl - INFO - Epoch [14][1300/3746] lr: 9.806e-02, eta: 3 days, 17:51:07, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4983, loss_cls: 7.0481, loss: 7.0481 2023-12-29 18:55:07,183 - pyskl - INFO - Epoch [14][1400/3746] lr: 9.805e-02, eta: 3 days, 17:49:38, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5067, loss_cls: 6.9941, loss: 6.9941 2023-12-29 18:56:08,051 - pyskl - INFO - Epoch [14][1500/3746] lr: 9.804e-02, eta: 3 days, 17:48:11, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.5014, loss_cls: 7.0648, loss: 7.0648 2023-12-29 18:57:08,484 - pyskl - INFO - Epoch [14][1600/3746] lr: 9.804e-02, eta: 3 days, 17:46:40, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.4953, loss_cls: 7.0526, loss: 7.0526 2023-12-29 18:58:08,169 - pyskl - INFO - Epoch [14][1700/3746] lr: 9.803e-02, eta: 3 days, 17:45:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.4922, loss_cls: 7.0565, loss: 7.0565 2023-12-29 18:59:07,669 - pyskl - INFO - Epoch [14][1800/3746] lr: 9.802e-02, eta: 3 days, 17:43:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4994, loss_cls: 7.0465, loss: 7.0465 2023-12-29 19:00:07,232 - pyskl - INFO - Epoch [14][1900/3746] lr: 9.801e-02, eta: 3 days, 17:41:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2362, top5_acc: 0.4903, loss_cls: 7.0872, loss: 7.0872 2023-12-29 19:01:07,149 - pyskl - INFO - Epoch [14][2000/3746] lr: 9.800e-02, eta: 3 days, 17:40:06, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.5047, loss_cls: 7.0318, loss: 7.0318 2023-12-29 19:02:07,024 - pyskl - INFO - Epoch [14][2100/3746] lr: 9.800e-02, eta: 3 days, 17:38:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4973, loss_cls: 7.0401, loss: 7.0401 2023-12-29 19:03:07,656 - pyskl - INFO - Epoch [14][2200/3746] lr: 9.799e-02, eta: 3 days, 17:37:02, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5025, loss_cls: 7.0386, loss: 7.0386 2023-12-29 19:04:07,700 - pyskl - INFO - Epoch [14][2300/3746] lr: 9.798e-02, eta: 3 days, 17:35:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.4891, loss_cls: 7.0548, loss: 7.0548 2023-12-29 19:05:07,544 - pyskl - INFO - Epoch [14][2400/3746] lr: 9.797e-02, eta: 3 days, 17:33:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.4973, loss_cls: 7.0429, loss: 7.0429 2023-12-29 19:06:07,243 - pyskl - INFO - Epoch [14][2500/3746] lr: 9.797e-02, eta: 3 days, 17:32:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5017, loss_cls: 7.0074, loss: 7.0074 2023-12-29 19:07:06,825 - pyskl - INFO - Epoch [14][2600/3746] lr: 9.796e-02, eta: 3 days, 17:30:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.4923, loss_cls: 7.0818, loss: 7.0818 2023-12-29 19:08:06,241 - pyskl - INFO - Epoch [14][2700/3746] lr: 9.795e-02, eta: 3 days, 17:28:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5017, loss_cls: 7.0517, loss: 7.0517 2023-12-29 19:09:06,454 - pyskl - INFO - Epoch [14][2800/3746] lr: 9.794e-02, eta: 3 days, 17:27:24, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5122, loss_cls: 7.0004, loss: 7.0004 2023-12-29 19:10:06,644 - pyskl - INFO - Epoch [14][2900/3746] lr: 9.793e-02, eta: 3 days, 17:25:52, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.4995, loss_cls: 7.0566, loss: 7.0566 2023-12-29 19:11:06,778 - pyskl - INFO - Epoch [14][3000/3746] lr: 9.793e-02, eta: 3 days, 17:24:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.4936, loss_cls: 7.0797, loss: 7.0797 2023-12-29 19:12:06,598 - pyskl - INFO - Epoch [14][3100/3746] lr: 9.792e-02, eta: 3 days, 17:22:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.4984, loss_cls: 7.0494, loss: 7.0494 2023-12-29 19:13:06,309 - pyskl - INFO - Epoch [14][3200/3746] lr: 9.791e-02, eta: 3 days, 17:21:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2550, top5_acc: 0.5030, loss_cls: 7.0355, loss: 7.0355 2023-12-29 19:14:06,114 - pyskl - INFO - Epoch [14][3300/3746] lr: 9.790e-02, eta: 3 days, 17:19:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.5003, loss_cls: 7.0399, loss: 7.0399 2023-12-29 19:15:06,133 - pyskl - INFO - Epoch [14][3400/3746] lr: 9.789e-02, eta: 3 days, 17:18:01, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5002, loss_cls: 7.0476, loss: 7.0476 2023-12-29 19:16:06,528 - pyskl - INFO - Epoch [14][3500/3746] lr: 9.789e-02, eta: 3 days, 17:16:32, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5014, loss_cls: 7.0465, loss: 7.0465 2023-12-29 19:17:06,912 - pyskl - INFO - Epoch [14][3600/3746] lr: 9.788e-02, eta: 3 days, 17:15:03, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2558, top5_acc: 0.4983, loss_cls: 7.0605, loss: 7.0605 2023-12-29 19:18:07,417 - pyskl - INFO - Epoch [14][3700/3746] lr: 9.787e-02, eta: 3 days, 17:13:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.4984, loss_cls: 7.0772, loss: 7.0772 2023-12-29 19:18:38,496 - pyskl - INFO - Saving checkpoint at 14 epochs 2023-12-29 19:20:36,694 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 19:20:37,801 - pyskl - INFO - top1_acc 0.1795 top5_acc 0.3978 2023-12-29 19:20:37,801 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 19:20:37,839 - pyskl - INFO - mean_acc 0.1793 2023-12-29 19:20:37,849 - pyskl - INFO - Epoch(val) [14][309] top1_acc: 0.1795, top5_acc: 0.3978, mean_class_accuracy: 0.1793 2023-12-29 19:24:01,089 - pyskl - INFO - Epoch [15][100/3746] lr: 9.786e-02, eta: 3 days, 17:30:01, time: 2.032, data_time: 1.425, memory: 16177, top1_acc: 0.2458, top5_acc: 0.5008, loss_cls: 7.0311, loss: 7.0311 2023-12-29 19:25:00,374 - pyskl - INFO - Epoch [15][200/3746] lr: 9.785e-02, eta: 3 days, 17:28:19, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5000, loss_cls: 7.0484, loss: 7.0484 2023-12-29 19:26:00,621 - pyskl - INFO - Epoch [15][300/3746] lr: 9.784e-02, eta: 3 days, 17:26:47, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.5056, loss_cls: 7.0192, loss: 7.0192 2023-12-29 19:27:01,034 - pyskl - INFO - Epoch [15][400/3746] lr: 9.783e-02, eta: 3 days, 17:25:16, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.5062, loss_cls: 7.0294, loss: 7.0294 2023-12-29 19:28:00,723 - pyskl - INFO - Epoch [15][500/3746] lr: 9.783e-02, eta: 3 days, 17:23:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5081, loss_cls: 6.9942, loss: 6.9942 2023-12-29 19:29:00,237 - pyskl - INFO - Epoch [15][600/3746] lr: 9.782e-02, eta: 3 days, 17:22:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.4983, loss_cls: 7.0433, loss: 7.0433 2023-12-29 19:30:00,386 - pyskl - INFO - Epoch [15][700/3746] lr: 9.781e-02, eta: 3 days, 17:20:27, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.4992, loss_cls: 7.0491, loss: 7.0491 2023-12-29 19:31:00,014 - pyskl - INFO - Epoch [15][800/3746] lr: 9.780e-02, eta: 3 days, 17:18:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.4995, loss_cls: 7.0109, loss: 7.0109 2023-12-29 19:31:59,804 - pyskl - INFO - Epoch [15][900/3746] lr: 9.779e-02, eta: 3 days, 17:17:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5036, loss_cls: 7.0142, loss: 7.0142 2023-12-29 19:33:00,497 - pyskl - INFO - Epoch [15][1000/3746] lr: 9.778e-02, eta: 3 days, 17:15:47, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4986, loss_cls: 7.0242, loss: 7.0242 2023-12-29 19:34:01,156 - pyskl - INFO - Epoch [15][1100/3746] lr: 9.778e-02, eta: 3 days, 17:14:19, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4992, loss_cls: 7.0373, loss: 7.0373 2023-12-29 19:35:02,259 - pyskl - INFO - Epoch [15][1200/3746] lr: 9.777e-02, eta: 3 days, 17:12:56, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.4961, loss_cls: 7.0722, loss: 7.0722 2023-12-29 19:36:03,239 - pyskl - INFO - Epoch [15][1300/3746] lr: 9.776e-02, eta: 3 days, 17:11:32, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5086, loss_cls: 7.0010, loss: 7.0010 2023-12-29 19:37:03,988 - pyskl - INFO - Epoch [15][1400/3746] lr: 9.775e-02, eta: 3 days, 17:10:06, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4997, loss_cls: 7.0515, loss: 7.0515 2023-12-29 19:38:04,797 - pyskl - INFO - Epoch [15][1500/3746] lr: 9.774e-02, eta: 3 days, 17:08:40, time: 0.608, data_time: 0.001, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5006, loss_cls: 7.0424, loss: 7.0424 2023-12-29 19:39:04,969 - pyskl - INFO - Epoch [15][1600/3746] lr: 9.773e-02, eta: 3 days, 17:07:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4970, loss_cls: 7.0707, loss: 7.0707 2023-12-29 19:40:05,527 - pyskl - INFO - Epoch [15][1700/3746] lr: 9.773e-02, eta: 3 days, 17:05:41, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.4928, loss_cls: 7.0321, loss: 7.0321 2023-12-29 19:41:06,253 - pyskl - INFO - Epoch [15][1800/3746] lr: 9.772e-02, eta: 3 days, 17:04:15, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5036, loss_cls: 7.0397, loss: 7.0397 2023-12-29 19:42:06,447 - pyskl - INFO - Epoch [15][1900/3746] lr: 9.771e-02, eta: 3 days, 17:02:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4994, loss_cls: 7.0644, loss: 7.0644 2023-12-29 19:43:06,178 - pyskl - INFO - Epoch [15][2000/3746] lr: 9.770e-02, eta: 3 days, 17:01:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5012, loss_cls: 6.9951, loss: 6.9951 2023-12-29 19:44:05,742 - pyskl - INFO - Epoch [15][2100/3746] lr: 9.769e-02, eta: 3 days, 16:59:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.4967, loss_cls: 7.0395, loss: 7.0395 2023-12-29 19:45:05,306 - pyskl - INFO - Epoch [15][2200/3746] lr: 9.768e-02, eta: 3 days, 16:57:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.5100, loss_cls: 7.0207, loss: 7.0207 2023-12-29 19:46:04,879 - pyskl - INFO - Epoch [15][2300/3746] lr: 9.768e-02, eta: 3 days, 16:56:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2444, top5_acc: 0.4958, loss_cls: 7.0586, loss: 7.0586 2023-12-29 19:47:04,495 - pyskl - INFO - Epoch [15][2400/3746] lr: 9.767e-02, eta: 3 days, 16:54:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.5125, loss_cls: 7.0186, loss: 7.0186 2023-12-29 19:48:04,099 - pyskl - INFO - Epoch [15][2500/3746] lr: 9.766e-02, eta: 3 days, 16:53:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.4995, loss_cls: 7.0408, loss: 7.0408 2023-12-29 19:49:03,797 - pyskl - INFO - Epoch [15][2600/3746] lr: 9.765e-02, eta: 3 days, 16:51:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.4939, loss_cls: 7.0504, loss: 7.0504 2023-12-29 19:50:03,509 - pyskl - INFO - Epoch [15][2700/3746] lr: 9.764e-02, eta: 3 days, 16:50:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.4905, loss_cls: 7.0670, loss: 7.0670 2023-12-29 19:51:03,217 - pyskl - INFO - Epoch [15][2800/3746] lr: 9.763e-02, eta: 3 days, 16:48:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5012, loss_cls: 7.0264, loss: 7.0264 2023-12-29 19:52:03,012 - pyskl - INFO - Epoch [15][2900/3746] lr: 9.763e-02, eta: 3 days, 16:46:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5048, loss_cls: 7.0396, loss: 7.0396 2023-12-29 19:53:02,565 - pyskl - INFO - Epoch [15][3000/3746] lr: 9.762e-02, eta: 3 days, 16:45:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4992, loss_cls: 7.0334, loss: 7.0334 2023-12-29 19:54:02,328 - pyskl - INFO - Epoch [15][3100/3746] lr: 9.761e-02, eta: 3 days, 16:43:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5028, loss_cls: 7.0118, loss: 7.0118 2023-12-29 19:55:02,069 - pyskl - INFO - Epoch [15][3200/3746] lr: 9.760e-02, eta: 3 days, 16:42:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5053, loss_cls: 7.0107, loss: 7.0107 2023-12-29 19:56:01,751 - pyskl - INFO - Epoch [15][3300/3746] lr: 9.759e-02, eta: 3 days, 16:40:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5036, loss_cls: 7.0318, loss: 7.0318 2023-12-29 19:57:01,626 - pyskl - INFO - Epoch [15][3400/3746] lr: 9.758e-02, eta: 3 days, 16:39:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.4973, loss_cls: 7.0497, loss: 7.0497 2023-12-29 19:58:02,155 - pyskl - INFO - Epoch [15][3500/3746] lr: 9.757e-02, eta: 3 days, 16:37:38, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.4928, loss_cls: 7.0535, loss: 7.0535 2023-12-29 19:59:02,121 - pyskl - INFO - Epoch [15][3600/3746] lr: 9.757e-02, eta: 3 days, 16:36:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5033, loss_cls: 7.0398, loss: 7.0398 2023-12-29 20:00:02,340 - pyskl - INFO - Epoch [15][3700/3746] lr: 9.756e-02, eta: 3 days, 16:34:38, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.4991, loss_cls: 7.0556, loss: 7.0556 2023-12-29 20:00:33,204 - pyskl - INFO - Saving checkpoint at 15 epochs 2023-12-29 20:02:38,944 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 20:02:40,045 - pyskl - INFO - top1_acc 0.1533 top5_acc 0.3621 2023-12-29 20:02:40,045 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 20:02:40,096 - pyskl - INFO - mean_acc 0.1532 2023-12-29 20:02:40,111 - pyskl - INFO - Epoch(val) [15][309] top1_acc: 0.1533, top5_acc: 0.3621, mean_class_accuracy: 0.1532 2023-12-29 20:05:59,084 - pyskl - INFO - Epoch [16][100/3746] lr: 9.754e-02, eta: 3 days, 16:49:06, time: 1.990, data_time: 1.387, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5070, loss_cls: 6.9697, loss: 6.9697 2023-12-29 20:06:58,980 - pyskl - INFO - Epoch [16][200/3746] lr: 9.754e-02, eta: 3 days, 16:47:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5105, loss_cls: 6.9896, loss: 6.9896 2023-12-29 20:07:59,019 - pyskl - INFO - Epoch [16][300/3746] lr: 9.753e-02, eta: 3 days, 16:46:01, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5036, loss_cls: 7.0038, loss: 7.0038 2023-12-29 20:09:00,321 - pyskl - INFO - Epoch [16][400/3746] lr: 9.752e-02, eta: 3 days, 16:44:41, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5095, loss_cls: 7.0181, loss: 7.0181 2023-12-29 20:10:00,211 - pyskl - INFO - Epoch [16][500/3746] lr: 9.751e-02, eta: 3 days, 16:43:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.5028, loss_cls: 7.0325, loss: 7.0325 2023-12-29 20:10:59,740 - pyskl - INFO - Epoch [16][600/3746] lr: 9.750e-02, eta: 3 days, 16:41:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.5050, loss_cls: 7.0109, loss: 7.0109 2023-12-29 20:11:59,731 - pyskl - INFO - Epoch [16][700/3746] lr: 9.749e-02, eta: 3 days, 16:40:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.4981, loss_cls: 7.0366, loss: 7.0366 2023-12-29 20:12:59,210 - pyskl - INFO - Epoch [16][800/3746] lr: 9.748e-02, eta: 3 days, 16:38:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.4953, loss_cls: 7.0423, loss: 7.0423 2023-12-29 20:13:58,682 - pyskl - INFO - Epoch [16][900/3746] lr: 9.747e-02, eta: 3 days, 16:36:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2466, top5_acc: 0.5014, loss_cls: 7.0460, loss: 7.0460 2023-12-29 20:14:58,458 - pyskl - INFO - Epoch [16][1000/3746] lr: 9.747e-02, eta: 3 days, 16:35:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.5097, loss_cls: 7.0146, loss: 7.0146 2023-12-29 20:15:57,893 - pyskl - INFO - Epoch [16][1100/3746] lr: 9.746e-02, eta: 3 days, 16:33:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2550, top5_acc: 0.5000, loss_cls: 7.0320, loss: 7.0320 2023-12-29 20:16:57,776 - pyskl - INFO - Epoch [16][1200/3746] lr: 9.745e-02, eta: 3 days, 16:32:06, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5061, loss_cls: 7.0323, loss: 7.0323 2023-12-29 20:17:58,351 - pyskl - INFO - Epoch [16][1300/3746] lr: 9.744e-02, eta: 3 days, 16:30:40, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4986, loss_cls: 7.0314, loss: 7.0314 2023-12-29 20:18:58,288 - pyskl - INFO - Epoch [16][1400/3746] lr: 9.743e-02, eta: 3 days, 16:29:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5161, loss_cls: 6.9950, loss: 6.9950 2023-12-29 20:19:58,093 - pyskl - INFO - Epoch [16][1500/3746] lr: 9.742e-02, eta: 3 days, 16:27:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5119, loss_cls: 7.0044, loss: 7.0044 2023-12-29 20:20:57,953 - pyskl - INFO - Epoch [16][1600/3746] lr: 9.741e-02, eta: 3 days, 16:26:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5091, loss_cls: 7.0125, loss: 7.0125 2023-12-29 20:21:57,838 - pyskl - INFO - Epoch [16][1700/3746] lr: 9.740e-02, eta: 3 days, 16:24:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.4995, loss_cls: 7.0425, loss: 7.0425 2023-12-29 20:22:57,628 - pyskl - INFO - Epoch [16][1800/3746] lr: 9.740e-02, eta: 3 days, 16:23:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4992, loss_cls: 7.0402, loss: 7.0402 2023-12-29 20:23:57,191 - pyskl - INFO - Epoch [16][1900/3746] lr: 9.739e-02, eta: 3 days, 16:21:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.4913, loss_cls: 7.0680, loss: 7.0680 2023-12-29 20:24:56,941 - pyskl - INFO - Epoch [16][2000/3746] lr: 9.738e-02, eta: 3 days, 16:19:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5038, loss_cls: 7.0057, loss: 7.0057 2023-12-29 20:25:56,420 - pyskl - INFO - Epoch [16][2100/3746] lr: 9.737e-02, eta: 3 days, 16:18:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5041, loss_cls: 7.0116, loss: 7.0116 2023-12-29 20:26:56,331 - pyskl - INFO - Epoch [16][2200/3746] lr: 9.736e-02, eta: 3 days, 16:16:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4873, loss_cls: 7.0667, loss: 7.0667 2023-12-29 20:27:56,705 - pyskl - INFO - Epoch [16][2300/3746] lr: 9.735e-02, eta: 3 days, 16:15:21, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5008, loss_cls: 7.0383, loss: 7.0383 2023-12-29 20:28:56,876 - pyskl - INFO - Epoch [16][2400/3746] lr: 9.734e-02, eta: 3 days, 16:13:52, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5069, loss_cls: 7.0432, loss: 7.0432 2023-12-29 20:29:56,676 - pyskl - INFO - Epoch [16][2500/3746] lr: 9.733e-02, eta: 3 days, 16:12:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5066, loss_cls: 7.0162, loss: 7.0162 2023-12-29 20:30:56,138 - pyskl - INFO - Epoch [16][2600/3746] lr: 9.732e-02, eta: 3 days, 16:10:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5055, loss_cls: 7.0220, loss: 7.0220 2023-12-29 20:31:55,955 - pyskl - INFO - Epoch [16][2700/3746] lr: 9.731e-02, eta: 3 days, 16:09:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.5003, loss_cls: 7.0397, loss: 7.0397 2023-12-29 20:32:56,031 - pyskl - INFO - Epoch [16][2800/3746] lr: 9.731e-02, eta: 3 days, 16:07:47, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5031, loss_cls: 7.0316, loss: 7.0316 2023-12-29 20:33:56,385 - pyskl - INFO - Epoch [16][2900/3746] lr: 9.730e-02, eta: 3 days, 16:06:20, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2550, top5_acc: 0.4967, loss_cls: 7.0506, loss: 7.0506 2023-12-29 20:34:57,485 - pyskl - INFO - Epoch [16][3000/3746] lr: 9.729e-02, eta: 3 days, 16:05:00, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5148, loss_cls: 6.9932, loss: 6.9932 2023-12-29 20:35:58,014 - pyskl - INFO - Epoch [16][3100/3746] lr: 9.728e-02, eta: 3 days, 16:03:36, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.4966, loss_cls: 7.0399, loss: 7.0399 2023-12-29 20:36:57,750 - pyskl - INFO - Epoch [16][3200/3746] lr: 9.727e-02, eta: 3 days, 16:02:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5178, loss_cls: 6.9856, loss: 6.9856 2023-12-29 20:37:57,406 - pyskl - INFO - Epoch [16][3300/3746] lr: 9.726e-02, eta: 3 days, 16:00:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.4973, loss_cls: 7.0338, loss: 7.0338 2023-12-29 20:38:58,089 - pyskl - INFO - Epoch [16][3400/3746] lr: 9.725e-02, eta: 3 days, 15:59:09, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5111, loss_cls: 6.9851, loss: 6.9851 2023-12-29 20:39:58,545 - pyskl - INFO - Epoch [16][3500/3746] lr: 9.724e-02, eta: 3 days, 15:57:44, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.4956, loss_cls: 7.0426, loss: 7.0426 2023-12-29 20:40:59,188 - pyskl - INFO - Epoch [16][3600/3746] lr: 9.723e-02, eta: 3 days, 15:56:21, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.4969, loss_cls: 7.0647, loss: 7.0647 2023-12-29 20:41:59,023 - pyskl - INFO - Epoch [16][3700/3746] lr: 9.722e-02, eta: 3 days, 15:54:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5042, loss_cls: 6.9969, loss: 6.9969 2023-12-29 20:42:28,858 - pyskl - INFO - Saving checkpoint at 16 epochs 2023-12-29 20:44:27,870 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 20:44:28,975 - pyskl - INFO - top1_acc 0.1982 top5_acc 0.4141 2023-12-29 20:44:28,975 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 20:44:29,015 - pyskl - INFO - mean_acc 0.1981 2023-12-29 20:44:29,021 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_13.pth was removed 2023-12-29 20:44:29,307 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. 2023-12-29 20:44:29,308 - pyskl - INFO - Best top1_acc is 0.1982 at 16 epoch. 2023-12-29 20:44:29,318 - pyskl - INFO - Epoch(val) [16][309] top1_acc: 0.1982, top5_acc: 0.4141, mean_class_accuracy: 0.1981 2023-12-29 20:47:49,814 - pyskl - INFO - Epoch [17][100/3746] lr: 9.721e-02, eta: 3 days, 16:08:26, time: 2.005, data_time: 1.406, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5117, loss_cls: 6.9929, loss: 6.9929 2023-12-29 20:48:49,466 - pyskl - INFO - Epoch [17][200/3746] lr: 9.720e-02, eta: 3 days, 16:06:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5158, loss_cls: 6.9751, loss: 6.9751 2023-12-29 20:49:49,112 - pyskl - INFO - Epoch [17][300/3746] lr: 9.719e-02, eta: 3 days, 16:05:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5042, loss_cls: 7.0345, loss: 7.0345 2023-12-29 20:50:49,435 - pyskl - INFO - Epoch [17][400/3746] lr: 9.718e-02, eta: 3 days, 16:03:52, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5092, loss_cls: 6.9772, loss: 6.9772 2023-12-29 20:51:49,943 - pyskl - INFO - Epoch [17][500/3746] lr: 9.717e-02, eta: 3 days, 16:02:27, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.5009, loss_cls: 7.0110, loss: 7.0110 2023-12-29 20:52:49,544 - pyskl - INFO - Epoch [17][600/3746] lr: 9.716e-02, eta: 3 days, 16:00:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5077, loss_cls: 6.9773, loss: 6.9773 2023-12-29 20:53:49,598 - pyskl - INFO - Epoch [17][700/3746] lr: 9.715e-02, eta: 3 days, 15:59:24, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.5022, loss_cls: 7.0284, loss: 7.0284 2023-12-29 20:54:49,226 - pyskl - INFO - Epoch [17][800/3746] lr: 9.714e-02, eta: 3 days, 15:57:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5153, loss_cls: 6.9726, loss: 6.9726 2023-12-29 20:55:49,102 - pyskl - INFO - Epoch [17][900/3746] lr: 9.714e-02, eta: 3 days, 15:56:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5114, loss_cls: 6.9661, loss: 6.9661 2023-12-29 20:56:48,725 - pyskl - INFO - Epoch [17][1000/3746] lr: 9.713e-02, eta: 3 days, 15:54:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.4961, loss_cls: 7.0233, loss: 7.0233 2023-12-29 20:57:48,369 - pyskl - INFO - Epoch [17][1100/3746] lr: 9.712e-02, eta: 3 days, 15:53:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.5031, loss_cls: 7.0198, loss: 7.0198 2023-12-29 20:58:47,997 - pyskl - INFO - Epoch [17][1200/3746] lr: 9.711e-02, eta: 3 days, 15:51:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5086, loss_cls: 7.0257, loss: 7.0257 2023-12-29 20:59:47,712 - pyskl - INFO - Epoch [17][1300/3746] lr: 9.710e-02, eta: 3 days, 15:50:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5031, loss_cls: 6.9885, loss: 6.9885 2023-12-29 21:00:47,400 - pyskl - INFO - Epoch [17][1400/3746] lr: 9.709e-02, eta: 3 days, 15:48:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.5033, loss_cls: 7.0193, loss: 7.0193 2023-12-29 21:01:47,358 - pyskl - INFO - Epoch [17][1500/3746] lr: 9.708e-02, eta: 3 days, 15:47:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.4994, loss_cls: 7.0413, loss: 7.0413 2023-12-29 21:02:47,079 - pyskl - INFO - Epoch [17][1600/3746] lr: 9.707e-02, eta: 3 days, 15:45:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5039, loss_cls: 7.0199, loss: 7.0199 2023-12-29 21:03:46,850 - pyskl - INFO - Epoch [17][1700/3746] lr: 9.706e-02, eta: 3 days, 15:44:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5006, loss_cls: 7.0483, loss: 7.0483 2023-12-29 21:04:46,388 - pyskl - INFO - Epoch [17][1800/3746] lr: 9.705e-02, eta: 3 days, 15:42:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2628, top5_acc: 0.5073, loss_cls: 6.9893, loss: 6.9893 2023-12-29 21:05:45,781 - pyskl - INFO - Epoch [17][1900/3746] lr: 9.704e-02, eta: 3 days, 15:41:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5030, loss_cls: 7.0269, loss: 7.0269 2023-12-29 21:06:45,296 - pyskl - INFO - Epoch [17][2000/3746] lr: 9.703e-02, eta: 3 days, 15:39:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.4978, loss_cls: 7.0237, loss: 7.0237 2023-12-29 21:07:44,883 - pyskl - INFO - Epoch [17][2100/3746] lr: 9.702e-02, eta: 3 days, 15:38:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.4958, loss_cls: 7.0419, loss: 7.0419 2023-12-29 21:08:44,414 - pyskl - INFO - Epoch [17][2200/3746] lr: 9.701e-02, eta: 3 days, 15:36:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5042, loss_cls: 7.0013, loss: 7.0013 2023-12-29 21:09:43,883 - pyskl - INFO - Epoch [17][2300/3746] lr: 9.700e-02, eta: 3 days, 15:34:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5112, loss_cls: 6.9937, loss: 6.9937 2023-12-29 21:10:43,435 - pyskl - INFO - Epoch [17][2400/3746] lr: 9.699e-02, eta: 3 days, 15:33:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5167, loss_cls: 6.9735, loss: 6.9735 2023-12-29 21:11:43,012 - pyskl - INFO - Epoch [17][2500/3746] lr: 9.698e-02, eta: 3 days, 15:31:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.5017, loss_cls: 7.0536, loss: 7.0536 2023-12-29 21:12:42,663 - pyskl - INFO - Epoch [17][2600/3746] lr: 9.697e-02, eta: 3 days, 15:30:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.5030, loss_cls: 7.0227, loss: 7.0227 2023-12-29 21:13:42,227 - pyskl - INFO - Epoch [17][2700/3746] lr: 9.697e-02, eta: 3 days, 15:28:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4983, loss_cls: 7.0314, loss: 7.0314 2023-12-29 21:14:41,898 - pyskl - INFO - Epoch [17][2800/3746] lr: 9.696e-02, eta: 3 days, 15:27:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.4975, loss_cls: 7.0297, loss: 7.0297 2023-12-29 21:15:41,206 - pyskl - INFO - Epoch [17][2900/3746] lr: 9.695e-02, eta: 3 days, 15:25:49, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4931, loss_cls: 7.0498, loss: 7.0498 2023-12-29 21:16:40,557 - pyskl - INFO - Epoch [17][3000/3746] lr: 9.694e-02, eta: 3 days, 15:24:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.5009, loss_cls: 7.0523, loss: 7.0523 2023-12-29 21:17:39,947 - pyskl - INFO - Epoch [17][3100/3746] lr: 9.693e-02, eta: 3 days, 15:22:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.5066, loss_cls: 7.0060, loss: 7.0060 2023-12-29 21:18:39,439 - pyskl - INFO - Epoch [17][3200/3746] lr: 9.692e-02, eta: 3 days, 15:21:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2470, top5_acc: 0.4911, loss_cls: 7.0683, loss: 7.0683 2023-12-29 21:19:39,023 - pyskl - INFO - Epoch [17][3300/3746] lr: 9.691e-02, eta: 3 days, 15:19:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5048, loss_cls: 6.9927, loss: 6.9927 2023-12-29 21:20:38,685 - pyskl - INFO - Epoch [17][3400/3746] lr: 9.690e-02, eta: 3 days, 15:18:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2558, top5_acc: 0.5044, loss_cls: 7.0229, loss: 7.0229 2023-12-29 21:21:37,914 - pyskl - INFO - Epoch [17][3500/3746] lr: 9.689e-02, eta: 3 days, 15:16:40, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5075, loss_cls: 7.0296, loss: 7.0296 2023-12-29 21:22:37,343 - pyskl - INFO - Epoch [17][3600/3746] lr: 9.688e-02, eta: 3 days, 15:15:09, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5048, loss_cls: 7.0249, loss: 7.0249 2023-12-29 21:23:37,315 - pyskl - INFO - Epoch [17][3700/3746] lr: 9.687e-02, eta: 3 days, 15:13:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4938, loss_cls: 7.0487, loss: 7.0487 2023-12-29 21:24:07,548 - pyskl - INFO - Saving checkpoint at 17 epochs 2023-12-29 21:26:07,956 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 21:26:08,872 - pyskl - INFO - top1_acc 0.1833 top5_acc 0.3974 2023-12-29 21:26:08,872 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 21:26:08,903 - pyskl - INFO - mean_acc 0.1830 2023-12-29 21:26:08,912 - pyskl - INFO - Epoch(val) [17][309] top1_acc: 0.1833, top5_acc: 0.3974, mean_class_accuracy: 0.1830 2023-12-29 21:29:31,695 - pyskl - INFO - Epoch [18][100/3746] lr: 9.685e-02, eta: 3 days, 15:26:35, time: 2.028, data_time: 1.427, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5070, loss_cls: 6.9646, loss: 6.9646 2023-12-29 21:30:32,098 - pyskl - INFO - Epoch [18][200/3746] lr: 9.684e-02, eta: 3 days, 15:25:10, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5042, loss_cls: 6.9882, loss: 6.9882 2023-12-29 21:31:31,866 - pyskl - INFO - Epoch [18][300/3746] lr: 9.683e-02, eta: 3 days, 15:23:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2550, top5_acc: 0.5091, loss_cls: 6.9987, loss: 6.9987 2023-12-29 21:32:31,708 - pyskl - INFO - Epoch [18][400/3746] lr: 9.683e-02, eta: 3 days, 15:22:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5120, loss_cls: 6.9715, loss: 6.9715 2023-12-29 21:33:33,028 - pyskl - INFO - Epoch [18][500/3746] lr: 9.682e-02, eta: 3 days, 15:20:53, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5072, loss_cls: 7.0107, loss: 7.0107 2023-12-29 21:34:32,694 - pyskl - INFO - Epoch [18][600/3746] lr: 9.681e-02, eta: 3 days, 15:19:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5138, loss_cls: 6.9504, loss: 6.9504 2023-12-29 21:35:32,145 - pyskl - INFO - Epoch [18][700/3746] lr: 9.680e-02, eta: 3 days, 15:17:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.4997, loss_cls: 7.0354, loss: 7.0354 2023-12-29 21:36:31,771 - pyskl - INFO - Epoch [18][800/3746] lr: 9.679e-02, eta: 3 days, 15:16:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.5041, loss_cls: 7.0142, loss: 7.0142 2023-12-29 21:37:31,128 - pyskl - INFO - Epoch [18][900/3746] lr: 9.678e-02, eta: 3 days, 15:14:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5125, loss_cls: 7.0044, loss: 7.0044 2023-12-29 21:38:30,852 - pyskl - INFO - Epoch [18][1000/3746] lr: 9.677e-02, eta: 3 days, 15:13:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.5031, loss_cls: 7.0522, loss: 7.0522 2023-12-29 21:39:30,432 - pyskl - INFO - Epoch [18][1100/3746] lr: 9.676e-02, eta: 3 days, 15:11:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5083, loss_cls: 6.9928, loss: 6.9928 2023-12-29 21:40:30,144 - pyskl - INFO - Epoch [18][1200/3746] lr: 9.675e-02, eta: 3 days, 15:10:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.5006, loss_cls: 6.9989, loss: 6.9989 2023-12-29 21:41:30,807 - pyskl - INFO - Epoch [18][1300/3746] lr: 9.674e-02, eta: 3 days, 15:08:56, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5028, loss_cls: 6.9991, loss: 6.9991 2023-12-29 21:42:30,616 - pyskl - INFO - Epoch [18][1400/3746] lr: 9.673e-02, eta: 3 days, 15:07:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5094, loss_cls: 6.9734, loss: 6.9734 2023-12-29 21:43:30,302 - pyskl - INFO - Epoch [18][1500/3746] lr: 9.672e-02, eta: 3 days, 15:05:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5016, loss_cls: 7.0093, loss: 7.0093 2023-12-29 21:44:30,125 - pyskl - INFO - Epoch [18][1600/3746] lr: 9.671e-02, eta: 3 days, 15:04:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5070, loss_cls: 7.0171, loss: 7.0171 2023-12-29 21:45:30,248 - pyskl - INFO - Epoch [18][1700/3746] lr: 9.670e-02, eta: 3 days, 15:03:04, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5020, loss_cls: 7.0193, loss: 7.0193 2023-12-29 21:46:29,717 - pyskl - INFO - Epoch [18][1800/3746] lr: 9.669e-02, eta: 3 days, 15:01:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4908, loss_cls: 7.0640, loss: 7.0640 2023-12-29 21:47:29,239 - pyskl - INFO - Epoch [18][1900/3746] lr: 9.668e-02, eta: 3 days, 15:00:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5117, loss_cls: 6.9810, loss: 6.9810 2023-12-29 21:48:29,107 - pyskl - INFO - Epoch [18][2000/3746] lr: 9.667e-02, eta: 3 days, 14:58:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.4934, loss_cls: 7.0496, loss: 7.0496 2023-12-29 21:49:29,552 - pyskl - INFO - Epoch [18][2100/3746] lr: 9.666e-02, eta: 3 days, 14:57:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5119, loss_cls: 6.9852, loss: 6.9852 2023-12-29 21:50:29,246 - pyskl - INFO - Epoch [18][2200/3746] lr: 9.665e-02, eta: 3 days, 14:55:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.4973, loss_cls: 7.0232, loss: 7.0232 2023-12-29 21:51:29,479 - pyskl - INFO - Epoch [18][2300/3746] lr: 9.664e-02, eta: 3 days, 14:54:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5102, loss_cls: 6.9763, loss: 6.9763 2023-12-29 21:52:29,724 - pyskl - INFO - Epoch [18][2400/3746] lr: 9.663e-02, eta: 3 days, 14:52:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5056, loss_cls: 6.9897, loss: 6.9897 2023-12-29 21:53:29,041 - pyskl - INFO - Epoch [18][2500/3746] lr: 9.662e-02, eta: 3 days, 14:51:24, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5022, loss_cls: 7.0242, loss: 7.0242 2023-12-29 21:54:28,609 - pyskl - INFO - Epoch [18][2600/3746] lr: 9.661e-02, eta: 3 days, 14:49:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4981, loss_cls: 7.0221, loss: 7.0221 2023-12-29 21:55:28,050 - pyskl - INFO - Epoch [18][2700/3746] lr: 9.660e-02, eta: 3 days, 14:48:24, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5086, loss_cls: 6.9941, loss: 6.9941 2023-12-29 21:56:27,832 - pyskl - INFO - Epoch [18][2800/3746] lr: 9.659e-02, eta: 3 days, 14:46:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.4983, loss_cls: 7.0501, loss: 7.0501 2023-12-29 21:57:27,248 - pyskl - INFO - Epoch [18][2900/3746] lr: 9.658e-02, eta: 3 days, 14:45:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5070, loss_cls: 6.9985, loss: 6.9985 2023-12-29 21:58:26,595 - pyskl - INFO - Epoch [18][3000/3746] lr: 9.657e-02, eta: 3 days, 14:43:56, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5075, loss_cls: 7.0070, loss: 7.0070 2023-12-29 21:59:26,037 - pyskl - INFO - Epoch [18][3100/3746] lr: 9.656e-02, eta: 3 days, 14:42:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5062, loss_cls: 7.0088, loss: 7.0088 2023-12-29 22:00:25,924 - pyskl - INFO - Epoch [18][3200/3746] lr: 9.654e-02, eta: 3 days, 14:41:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5178, loss_cls: 6.9611, loss: 6.9611 2023-12-29 22:01:25,733 - pyskl - INFO - Epoch [18][3300/3746] lr: 9.653e-02, eta: 3 days, 14:39:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.4967, loss_cls: 7.0125, loss: 7.0125 2023-12-29 22:02:25,495 - pyskl - INFO - Epoch [18][3400/3746] lr: 9.652e-02, eta: 3 days, 14:38:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.5005, loss_cls: 7.0438, loss: 7.0438 2023-12-29 22:03:25,995 - pyskl - INFO - Epoch [18][3500/3746] lr: 9.651e-02, eta: 3 days, 14:36:44, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4942, loss_cls: 7.0390, loss: 7.0390 2023-12-29 22:04:26,512 - pyskl - INFO - Epoch [18][3600/3746] lr: 9.650e-02, eta: 3 days, 14:35:22, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5091, loss_cls: 6.9962, loss: 6.9962 2023-12-29 22:05:26,711 - pyskl - INFO - Epoch [18][3700/3746] lr: 9.649e-02, eta: 3 days, 14:33:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5066, loss_cls: 7.0096, loss: 7.0096 2023-12-29 22:05:56,149 - pyskl - INFO - Saving checkpoint at 18 epochs 2023-12-29 22:07:55,537 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 22:07:56,613 - pyskl - INFO - top1_acc 0.1860 top5_acc 0.4079 2023-12-29 22:07:56,613 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 22:07:56,651 - pyskl - INFO - mean_acc 0.1860 2023-12-29 22:07:56,659 - pyskl - INFO - Epoch(val) [18][309] top1_acc: 0.1860, top5_acc: 0.4079, mean_class_accuracy: 0.1860 2023-12-29 22:11:10,591 - pyskl - INFO - Epoch [19][100/3746] lr: 9.648e-02, eta: 3 days, 14:44:53, time: 1.939, data_time: 1.345, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5127, loss_cls: 6.9820, loss: 6.9820 2023-12-29 22:12:10,994 - pyskl - INFO - Epoch [19][200/3746] lr: 9.647e-02, eta: 3 days, 14:43:29, time: 0.604, data_time: 0.001, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5152, loss_cls: 6.9708, loss: 6.9708 2023-12-29 22:13:10,425 - pyskl - INFO - Epoch [19][300/3746] lr: 9.646e-02, eta: 3 days, 14:41:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2558, top5_acc: 0.5075, loss_cls: 6.9955, loss: 6.9955 2023-12-29 22:14:10,318 - pyskl - INFO - Epoch [19][400/3746] lr: 9.645e-02, eta: 3 days, 14:40:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.5188, loss_cls: 6.9894, loss: 6.9894 2023-12-29 22:15:10,622 - pyskl - INFO - Epoch [19][500/3746] lr: 9.644e-02, eta: 3 days, 14:39:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5075, loss_cls: 6.9835, loss: 6.9835 2023-12-29 22:16:10,287 - pyskl - INFO - Epoch [19][600/3746] lr: 9.643e-02, eta: 3 days, 14:37:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5045, loss_cls: 6.9997, loss: 6.9997 2023-12-29 22:17:09,533 - pyskl - INFO - Epoch [19][700/3746] lr: 9.642e-02, eta: 3 days, 14:36:08, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5056, loss_cls: 6.9782, loss: 6.9782 2023-12-29 22:18:09,364 - pyskl - INFO - Epoch [19][800/3746] lr: 9.641e-02, eta: 3 days, 14:34:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5091, loss_cls: 6.9736, loss: 6.9736 2023-12-29 22:19:09,129 - pyskl - INFO - Epoch [19][900/3746] lr: 9.640e-02, eta: 3 days, 14:33:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5088, loss_cls: 6.9896, loss: 6.9896 2023-12-29 22:20:08,344 - pyskl - INFO - Epoch [19][1000/3746] lr: 9.639e-02, eta: 3 days, 14:31:42, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5038, loss_cls: 7.0053, loss: 7.0053 2023-12-29 22:21:07,784 - pyskl - INFO - Epoch [19][1100/3746] lr: 9.637e-02, eta: 3 days, 14:30:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5078, loss_cls: 6.9860, loss: 6.9860 2023-12-29 22:22:07,016 - pyskl - INFO - Epoch [19][1200/3746] lr: 9.636e-02, eta: 3 days, 14:28:41, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.4963, loss_cls: 7.0371, loss: 7.0371 2023-12-29 22:23:06,292 - pyskl - INFO - Epoch [19][1300/3746] lr: 9.635e-02, eta: 3 days, 14:27:11, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.4964, loss_cls: 7.0241, loss: 7.0241 2023-12-29 22:24:05,625 - pyskl - INFO - Epoch [19][1400/3746] lr: 9.634e-02, eta: 3 days, 14:25:40, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.5078, loss_cls: 7.0030, loss: 7.0030 2023-12-29 22:25:05,060 - pyskl - INFO - Epoch [19][1500/3746] lr: 9.633e-02, eta: 3 days, 14:24:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5041, loss_cls: 7.0020, loss: 7.0020 2023-12-29 22:26:04,695 - pyskl - INFO - Epoch [19][1600/3746] lr: 9.632e-02, eta: 3 days, 14:22:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5050, loss_cls: 6.9791, loss: 6.9791 2023-12-29 22:27:04,274 - pyskl - INFO - Epoch [19][1700/3746] lr: 9.631e-02, eta: 3 days, 14:21:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5095, loss_cls: 6.9693, loss: 6.9693 2023-12-29 22:28:03,949 - pyskl - INFO - Epoch [19][1800/3746] lr: 9.630e-02, eta: 3 days, 14:19:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.4983, loss_cls: 7.0533, loss: 7.0533 2023-12-29 22:29:03,543 - pyskl - INFO - Epoch [19][1900/3746] lr: 9.629e-02, eta: 3 days, 14:18:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5075, loss_cls: 6.9938, loss: 6.9938 2023-12-29 22:30:03,067 - pyskl - INFO - Epoch [19][2000/3746] lr: 9.628e-02, eta: 3 days, 14:16:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5083, loss_cls: 7.0026, loss: 7.0026 2023-12-29 22:31:02,443 - pyskl - INFO - Epoch [19][2100/3746] lr: 9.627e-02, eta: 3 days, 14:15:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5072, loss_cls: 7.0336, loss: 7.0336 2023-12-29 22:32:02,047 - pyskl - INFO - Epoch [19][2200/3746] lr: 9.626e-02, eta: 3 days, 14:13:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5030, loss_cls: 7.0048, loss: 7.0048 2023-12-29 22:33:01,649 - pyskl - INFO - Epoch [19][2300/3746] lr: 9.625e-02, eta: 3 days, 14:12:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5091, loss_cls: 7.0019, loss: 7.0019 2023-12-29 22:34:01,181 - pyskl - INFO - Epoch [19][2400/3746] lr: 9.624e-02, eta: 3 days, 14:10:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.4920, loss_cls: 7.0089, loss: 7.0089 2023-12-29 22:35:00,674 - pyskl - INFO - Epoch [19][2500/3746] lr: 9.623e-02, eta: 3 days, 14:09:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5117, loss_cls: 6.9927, loss: 6.9927 2023-12-29 22:36:00,156 - pyskl - INFO - Epoch [19][2600/3746] lr: 9.622e-02, eta: 3 days, 14:08:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.5045, loss_cls: 6.9986, loss: 6.9986 2023-12-29 22:36:59,514 - pyskl - INFO - Epoch [19][2700/3746] lr: 9.621e-02, eta: 3 days, 14:06:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5100, loss_cls: 6.9890, loss: 6.9890 2023-12-29 22:37:59,718 - pyskl - INFO - Epoch [19][2800/3746] lr: 9.620e-02, eta: 3 days, 14:05:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5041, loss_cls: 7.0224, loss: 7.0224 2023-12-29 22:38:59,496 - pyskl - INFO - Epoch [19][2900/3746] lr: 9.618e-02, eta: 3 days, 14:03:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5034, loss_cls: 7.0024, loss: 7.0024 2023-12-29 22:40:00,076 - pyskl - INFO - Epoch [19][3000/3746] lr: 9.617e-02, eta: 3 days, 14:02:26, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5138, loss_cls: 6.9943, loss: 6.9943 2023-12-29 22:41:00,434 - pyskl - INFO - Epoch [19][3100/3746] lr: 9.616e-02, eta: 3 days, 14:01:04, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5081, loss_cls: 6.9777, loss: 6.9777 2023-12-29 22:42:00,178 - pyskl - INFO - Epoch [19][3200/3746] lr: 9.615e-02, eta: 3 days, 13:59:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5106, loss_cls: 6.9872, loss: 6.9872 2023-12-29 22:42:59,683 - pyskl - INFO - Epoch [19][3300/3746] lr: 9.614e-02, eta: 3 days, 13:58:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.5017, loss_cls: 7.0291, loss: 7.0291 2023-12-29 22:43:59,408 - pyskl - INFO - Epoch [19][3400/3746] lr: 9.613e-02, eta: 3 days, 13:56:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.4977, loss_cls: 7.0313, loss: 7.0313 2023-12-29 22:44:59,858 - pyskl - INFO - Epoch [19][3500/3746] lr: 9.612e-02, eta: 3 days, 13:55:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5044, loss_cls: 7.0170, loss: 7.0170 2023-12-29 22:46:00,293 - pyskl - INFO - Epoch [19][3600/3746] lr: 9.611e-02, eta: 3 days, 13:54:04, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4967, loss_cls: 7.0390, loss: 7.0390 2023-12-29 22:46:59,984 - pyskl - INFO - Epoch [19][3700/3746] lr: 9.610e-02, eta: 3 days, 13:52:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5017, loss_cls: 7.0390, loss: 7.0390 2023-12-29 22:47:29,837 - pyskl - INFO - Saving checkpoint at 19 epochs 2023-12-29 22:49:29,743 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 22:49:30,532 - pyskl - INFO - top1_acc 0.1928 top5_acc 0.4216 2023-12-29 22:49:30,532 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 22:49:30,564 - pyskl - INFO - mean_acc 0.1927 2023-12-29 22:49:30,572 - pyskl - INFO - Epoch(val) [19][309] top1_acc: 0.1928, top5_acc: 0.4216, mean_class_accuracy: 0.1927 2023-12-29 22:52:51,730 - pyskl - INFO - Epoch [20][100/3746] lr: 9.608e-02, eta: 3 days, 14:03:37, time: 2.011, data_time: 1.412, memory: 16177, top1_acc: 0.2556, top5_acc: 0.5041, loss_cls: 7.0017, loss: 7.0017 2023-12-29 22:53:51,510 - pyskl - INFO - Epoch [20][200/3746] lr: 9.607e-02, eta: 3 days, 14:02:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5172, loss_cls: 6.9450, loss: 6.9450 2023-12-29 22:54:51,174 - pyskl - INFO - Epoch [20][300/3746] lr: 9.606e-02, eta: 3 days, 14:00:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5133, loss_cls: 6.9801, loss: 6.9801 2023-12-29 22:55:50,539 - pyskl - INFO - Epoch [20][400/3746] lr: 9.605e-02, eta: 3 days, 13:59:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5189, loss_cls: 6.9589, loss: 6.9589 2023-12-29 22:56:50,548 - pyskl - INFO - Epoch [20][500/3746] lr: 9.604e-02, eta: 3 days, 13:57:50, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5106, loss_cls: 6.9718, loss: 6.9718 2023-12-29 22:57:50,960 - pyskl - INFO - Epoch [20][600/3746] lr: 9.603e-02, eta: 3 days, 13:56:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5041, loss_cls: 7.0164, loss: 7.0164 2023-12-29 22:58:50,721 - pyskl - INFO - Epoch [20][700/3746] lr: 9.602e-02, eta: 3 days, 13:55:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5128, loss_cls: 6.9781, loss: 6.9781 2023-12-29 22:59:50,364 - pyskl - INFO - Epoch [20][800/3746] lr: 9.601e-02, eta: 3 days, 13:53:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.4941, loss_cls: 7.0297, loss: 7.0297 2023-12-29 23:00:50,124 - pyskl - INFO - Epoch [20][900/3746] lr: 9.600e-02, eta: 3 days, 13:52:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5167, loss_cls: 6.9436, loss: 6.9436 2023-12-29 23:01:49,993 - pyskl - INFO - Epoch [20][1000/3746] lr: 9.598e-02, eta: 3 days, 13:50:45, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.5017, loss_cls: 7.0024, loss: 7.0024 2023-12-29 23:02:49,581 - pyskl - INFO - Epoch [20][1100/3746] lr: 9.597e-02, eta: 3 days, 13:49:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5159, loss_cls: 6.9853, loss: 6.9853 2023-12-29 23:03:49,015 - pyskl - INFO - Epoch [20][1200/3746] lr: 9.596e-02, eta: 3 days, 13:47:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5050, loss_cls: 7.0304, loss: 7.0304 2023-12-29 23:04:48,562 - pyskl - INFO - Epoch [20][1300/3746] lr: 9.595e-02, eta: 3 days, 13:46:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5092, loss_cls: 7.0036, loss: 7.0036 2023-12-29 23:05:47,861 - pyskl - INFO - Epoch [20][1400/3746] lr: 9.594e-02, eta: 3 days, 13:44:54, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.5098, loss_cls: 6.9759, loss: 6.9759 2023-12-29 23:06:47,400 - pyskl - INFO - Epoch [20][1500/3746] lr: 9.593e-02, eta: 3 days, 13:43:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5131, loss_cls: 6.9663, loss: 6.9663 2023-12-29 23:07:47,015 - pyskl - INFO - Epoch [20][1600/3746] lr: 9.592e-02, eta: 3 days, 13:42:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5058, loss_cls: 7.0325, loss: 7.0325 2023-12-29 23:08:47,091 - pyskl - INFO - Epoch [20][1700/3746] lr: 9.591e-02, eta: 3 days, 13:40:38, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5062, loss_cls: 6.9932, loss: 6.9932 2023-12-29 23:09:47,799 - pyskl - INFO - Epoch [20][1800/3746] lr: 9.590e-02, eta: 3 days, 13:39:19, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5116, loss_cls: 6.9823, loss: 6.9823 2023-12-29 23:10:48,033 - pyskl - INFO - Epoch [20][1900/3746] lr: 9.588e-02, eta: 3 days, 13:37:57, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5028, loss_cls: 6.9906, loss: 6.9906 2023-12-29 23:11:47,964 - pyskl - INFO - Epoch [20][2000/3746] lr: 9.587e-02, eta: 3 days, 13:36:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5084, loss_cls: 7.0067, loss: 7.0067 2023-12-29 23:12:47,481 - pyskl - INFO - Epoch [20][2100/3746] lr: 9.586e-02, eta: 3 days, 13:35:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.5092, loss_cls: 7.0159, loss: 7.0159 2023-12-29 23:13:47,142 - pyskl - INFO - Epoch [20][2200/3746] lr: 9.585e-02, eta: 3 days, 13:33:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5148, loss_cls: 6.9790, loss: 6.9790 2023-12-29 23:14:46,622 - pyskl - INFO - Epoch [20][2300/3746] lr: 9.584e-02, eta: 3 days, 13:32:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5192, loss_cls: 6.9519, loss: 6.9519 2023-12-29 23:15:46,099 - pyskl - INFO - Epoch [20][2400/3746] lr: 9.583e-02, eta: 3 days, 13:30:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2505, top5_acc: 0.5072, loss_cls: 7.0079, loss: 7.0079 2023-12-29 23:16:46,239 - pyskl - INFO - Epoch [20][2500/3746] lr: 9.582e-02, eta: 3 days, 13:29:25, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2505, top5_acc: 0.5048, loss_cls: 7.0394, loss: 7.0394 2023-12-29 23:17:45,697 - pyskl - INFO - Epoch [20][2600/3746] lr: 9.581e-02, eta: 3 days, 13:27:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5108, loss_cls: 6.9744, loss: 6.9744 2023-12-29 23:18:45,941 - pyskl - INFO - Epoch [20][2700/3746] lr: 9.580e-02, eta: 3 days, 13:26:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.4973, loss_cls: 7.0212, loss: 7.0212 2023-12-29 23:19:46,090 - pyskl - INFO - Epoch [20][2800/3746] lr: 9.578e-02, eta: 3 days, 13:25:14, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5123, loss_cls: 6.9593, loss: 6.9593 2023-12-29 23:20:45,810 - pyskl - INFO - Epoch [20][2900/3746] lr: 9.577e-02, eta: 3 days, 13:23:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5138, loss_cls: 6.9532, loss: 6.9532 2023-12-29 23:21:46,203 - pyskl - INFO - Epoch [20][3000/3746] lr: 9.576e-02, eta: 3 days, 13:22:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5036, loss_cls: 7.0063, loss: 7.0063 2023-12-29 23:22:46,738 - pyskl - INFO - Epoch [20][3100/3746] lr: 9.575e-02, eta: 3 days, 13:21:10, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5091, loss_cls: 7.0033, loss: 7.0033 2023-12-29 23:23:46,807 - pyskl - INFO - Epoch [20][3200/3746] lr: 9.574e-02, eta: 3 days, 13:19:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.5070, loss_cls: 7.0088, loss: 7.0088 2023-12-29 23:24:46,839 - pyskl - INFO - Epoch [20][3300/3746] lr: 9.573e-02, eta: 3 days, 13:18:25, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5112, loss_cls: 6.9619, loss: 6.9619 2023-12-29 23:25:46,522 - pyskl - INFO - Epoch [20][3400/3746] lr: 9.572e-02, eta: 3 days, 13:17:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2584, top5_acc: 0.5059, loss_cls: 6.9752, loss: 6.9752 2023-12-29 23:26:45,772 - pyskl - INFO - Epoch [20][3500/3746] lr: 9.571e-02, eta: 3 days, 13:15:33, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5123, loss_cls: 6.9739, loss: 6.9739 2023-12-29 23:27:45,335 - pyskl - INFO - Epoch [20][3600/3746] lr: 9.569e-02, eta: 3 days, 13:14:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4947, loss_cls: 7.0686, loss: 7.0686 2023-12-29 23:28:45,285 - pyskl - INFO - Epoch [20][3700/3746] lr: 9.568e-02, eta: 3 days, 13:12:45, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5181, loss_cls: 6.9873, loss: 6.9873 2023-12-29 23:29:16,602 - pyskl - INFO - Saving checkpoint at 20 epochs 2023-12-29 23:31:17,042 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-29 23:31:18,145 - pyskl - INFO - top1_acc 0.1689 top5_acc 0.3776 2023-12-29 23:31:18,145 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-29 23:31:18,184 - pyskl - INFO - mean_acc 0.1687 2023-12-29 23:31:18,196 - pyskl - INFO - Epoch(val) [20][309] top1_acc: 0.1689, top5_acc: 0.3776, mean_class_accuracy: 0.1687 2023-12-29 23:34:40,263 - pyskl - INFO - Epoch [21][100/3746] lr: 9.567e-02, eta: 3 days, 13:23:07, time: 2.021, data_time: 1.424, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5142, loss_cls: 6.9376, loss: 6.9376 2023-12-29 23:35:39,783 - pyskl - INFO - Epoch [21][200/3746] lr: 9.565e-02, eta: 3 days, 13:21:41, time: 0.595, data_time: 0.001, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5134, loss_cls: 6.9387, loss: 6.9387 2023-12-29 23:36:39,441 - pyskl - INFO - Epoch [21][300/3746] lr: 9.564e-02, eta: 3 days, 13:20:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5153, loss_cls: 6.9451, loss: 6.9451 2023-12-29 23:37:38,828 - pyskl - INFO - Epoch [21][400/3746] lr: 9.563e-02, eta: 3 days, 13:18:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5173, loss_cls: 6.9564, loss: 6.9564 2023-12-29 23:38:38,451 - pyskl - INFO - Epoch [21][500/3746] lr: 9.562e-02, eta: 3 days, 13:17:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5144, loss_cls: 6.9596, loss: 6.9596 2023-12-29 23:39:37,873 - pyskl - INFO - Epoch [21][600/3746] lr: 9.561e-02, eta: 3 days, 13:15:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5153, loss_cls: 6.9571, loss: 6.9571 2023-12-29 23:40:38,016 - pyskl - INFO - Epoch [21][700/3746] lr: 9.560e-02, eta: 3 days, 13:14:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5077, loss_cls: 7.0030, loss: 7.0030 2023-12-29 23:41:37,588 - pyskl - INFO - Epoch [21][800/3746] lr: 9.559e-02, eta: 3 days, 13:13:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5111, loss_cls: 6.9770, loss: 6.9770 2023-12-29 23:42:37,276 - pyskl - INFO - Epoch [21][900/3746] lr: 9.557e-02, eta: 3 days, 13:11:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5208, loss_cls: 6.9173, loss: 6.9173 2023-12-29 23:43:37,013 - pyskl - INFO - Epoch [21][1000/3746] lr: 9.556e-02, eta: 3 days, 13:10:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5044, loss_cls: 7.0168, loss: 7.0168 2023-12-29 23:44:36,780 - pyskl - INFO - Epoch [21][1100/3746] lr: 9.555e-02, eta: 3 days, 13:08:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5077, loss_cls: 6.9848, loss: 6.9848 2023-12-29 23:45:36,328 - pyskl - INFO - Epoch [21][1200/3746] lr: 9.554e-02, eta: 3 days, 13:07:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5133, loss_cls: 6.9660, loss: 6.9660 2023-12-29 23:46:35,902 - pyskl - INFO - Epoch [21][1300/3746] lr: 9.553e-02, eta: 3 days, 13:06:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4991, loss_cls: 7.0381, loss: 7.0381 2023-12-29 23:47:35,685 - pyskl - INFO - Epoch [21][1400/3746] lr: 9.552e-02, eta: 3 days, 13:04:38, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5030, loss_cls: 6.9933, loss: 6.9933 2023-12-29 23:48:35,537 - pyskl - INFO - Epoch [21][1500/3746] lr: 9.551e-02, eta: 3 days, 13:03:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5041, loss_cls: 6.9971, loss: 6.9971 2023-12-29 23:49:35,160 - pyskl - INFO - Epoch [21][1600/3746] lr: 9.549e-02, eta: 3 days, 13:01:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.5086, loss_cls: 6.9888, loss: 6.9888 2023-12-29 23:50:34,827 - pyskl - INFO - Epoch [21][1700/3746] lr: 9.548e-02, eta: 3 days, 13:00:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2558, top5_acc: 0.5091, loss_cls: 7.0094, loss: 7.0094 2023-12-29 23:51:34,539 - pyskl - INFO - Epoch [21][1800/3746] lr: 9.547e-02, eta: 3 days, 12:59:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5117, loss_cls: 6.9743, loss: 6.9743 2023-12-29 23:52:34,580 - pyskl - INFO - Epoch [21][1900/3746] lr: 9.546e-02, eta: 3 days, 12:57:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5042, loss_cls: 7.0102, loss: 7.0102 2023-12-29 23:53:34,639 - pyskl - INFO - Epoch [21][2000/3746] lr: 9.545e-02, eta: 3 days, 12:56:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.4978, loss_cls: 7.0258, loss: 7.0258 2023-12-29 23:54:34,210 - pyskl - INFO - Epoch [21][2100/3746] lr: 9.544e-02, eta: 3 days, 12:54:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5102, loss_cls: 6.9968, loss: 6.9968 2023-12-29 23:55:33,631 - pyskl - INFO - Epoch [21][2200/3746] lr: 9.542e-02, eta: 3 days, 12:53:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5156, loss_cls: 6.9631, loss: 6.9631 2023-12-29 23:56:33,344 - pyskl - INFO - Epoch [21][2300/3746] lr: 9.541e-02, eta: 3 days, 12:52:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.4963, loss_cls: 7.0026, loss: 7.0026 2023-12-29 23:57:33,576 - pyskl - INFO - Epoch [21][2400/3746] lr: 9.540e-02, eta: 3 days, 12:50:41, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.5083, loss_cls: 7.0059, loss: 7.0059 2023-12-29 23:58:34,093 - pyskl - INFO - Epoch [21][2500/3746] lr: 9.539e-02, eta: 3 days, 12:49:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5078, loss_cls: 6.9673, loss: 6.9673 2023-12-29 23:59:34,056 - pyskl - INFO - Epoch [21][2600/3746] lr: 9.538e-02, eta: 3 days, 12:48:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.4986, loss_cls: 7.0286, loss: 7.0286 2023-12-30 00:00:33,578 - pyskl - INFO - Epoch [21][2700/3746] lr: 9.537e-02, eta: 3 days, 12:46:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5034, loss_cls: 7.0111, loss: 7.0111 2023-12-30 00:01:32,994 - pyskl - INFO - Epoch [21][2800/3746] lr: 9.535e-02, eta: 3 days, 12:45:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5095, loss_cls: 6.9739, loss: 6.9739 2023-12-30 00:02:32,467 - pyskl - INFO - Epoch [21][2900/3746] lr: 9.534e-02, eta: 3 days, 12:43:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5108, loss_cls: 6.9688, loss: 6.9688 2023-12-30 00:03:32,055 - pyskl - INFO - Epoch [21][3000/3746] lr: 9.533e-02, eta: 3 days, 12:42:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5062, loss_cls: 7.0018, loss: 7.0018 2023-12-30 00:04:31,658 - pyskl - INFO - Epoch [21][3100/3746] lr: 9.532e-02, eta: 3 days, 12:40:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5105, loss_cls: 6.9928, loss: 6.9928 2023-12-30 00:05:31,339 - pyskl - INFO - Epoch [21][3200/3746] lr: 9.531e-02, eta: 3 days, 12:39:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.5033, loss_cls: 7.0332, loss: 7.0332 2023-12-30 00:06:30,985 - pyskl - INFO - Epoch [21][3300/3746] lr: 9.529e-02, eta: 3 days, 12:38:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5097, loss_cls: 6.9914, loss: 6.9914 2023-12-30 00:07:30,576 - pyskl - INFO - Epoch [21][3400/3746] lr: 9.528e-02, eta: 3 days, 12:36:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5144, loss_cls: 6.9684, loss: 6.9684 2023-12-30 00:08:29,895 - pyskl - INFO - Epoch [21][3500/3746] lr: 9.527e-02, eta: 3 days, 12:35:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5077, loss_cls: 6.9877, loss: 6.9877 2023-12-30 00:09:29,554 - pyskl - INFO - Epoch [21][3600/3746] lr: 9.526e-02, eta: 3 days, 12:33:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5155, loss_cls: 6.9751, loss: 6.9751 2023-12-30 00:10:29,324 - pyskl - INFO - Epoch [21][3700/3746] lr: 9.525e-02, eta: 3 days, 12:32:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5031, loss_cls: 7.0417, loss: 7.0417 2023-12-30 00:10:59,087 - pyskl - INFO - Saving checkpoint at 21 epochs 2023-12-30 00:13:00,564 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 00:13:01,625 - pyskl - INFO - top1_acc 0.1938 top5_acc 0.4150 2023-12-30 00:13:01,625 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 00:13:01,667 - pyskl - INFO - mean_acc 0.1936 2023-12-30 00:13:01,678 - pyskl - INFO - Epoch(val) [21][309] top1_acc: 0.1938, top5_acc: 0.4150, mean_class_accuracy: 0.1936 2023-12-30 00:16:22,167 - pyskl - INFO - Epoch [22][100/3746] lr: 9.523e-02, eta: 3 days, 12:42:07, time: 2.005, data_time: 1.409, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5088, loss_cls: 7.0031, loss: 7.0031 2023-12-30 00:17:22,590 - pyskl - INFO - Epoch [22][200/3746] lr: 9.522e-02, eta: 3 days, 12:40:48, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5077, loss_cls: 6.9844, loss: 6.9844 2023-12-30 00:18:22,164 - pyskl - INFO - Epoch [22][300/3746] lr: 9.521e-02, eta: 3 days, 12:39:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5167, loss_cls: 6.9543, loss: 6.9543 2023-12-30 00:19:21,534 - pyskl - INFO - Epoch [22][400/3746] lr: 9.519e-02, eta: 3 days, 12:37:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5108, loss_cls: 6.9700, loss: 6.9700 2023-12-30 00:20:21,178 - pyskl - INFO - Epoch [22][500/3746] lr: 9.518e-02, eta: 3 days, 12:36:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5095, loss_cls: 6.9653, loss: 6.9653 2023-12-30 00:21:20,911 - pyskl - INFO - Epoch [22][600/3746] lr: 9.517e-02, eta: 3 days, 12:35:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.5017, loss_cls: 7.0010, loss: 7.0010 2023-12-30 00:22:20,975 - pyskl - INFO - Epoch [22][700/3746] lr: 9.516e-02, eta: 3 days, 12:33:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5155, loss_cls: 6.9666, loss: 6.9666 2023-12-30 00:23:20,817 - pyskl - INFO - Epoch [22][800/3746] lr: 9.515e-02, eta: 3 days, 12:32:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5189, loss_cls: 6.9590, loss: 6.9590 2023-12-30 00:24:19,955 - pyskl - INFO - Epoch [22][900/3746] lr: 9.513e-02, eta: 3 days, 12:30:58, time: 0.591, data_time: 0.001, memory: 16177, top1_acc: 0.2580, top5_acc: 0.4997, loss_cls: 7.0092, loss: 7.0092 2023-12-30 00:25:19,991 - pyskl - INFO - Epoch [22][1000/3746] lr: 9.512e-02, eta: 3 days, 12:29:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5097, loss_cls: 6.9814, loss: 6.9814 2023-12-30 00:26:19,378 - pyskl - INFO - Epoch [22][1100/3746] lr: 9.511e-02, eta: 3 days, 12:28:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5098, loss_cls: 6.9776, loss: 6.9776 2023-12-30 00:27:19,032 - pyskl - INFO - Epoch [22][1200/3746] lr: 9.510e-02, eta: 3 days, 12:26:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5134, loss_cls: 6.9835, loss: 6.9835 2023-12-30 00:28:18,485 - pyskl - INFO - Epoch [22][1300/3746] lr: 9.509e-02, eta: 3 days, 12:25:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5155, loss_cls: 6.9671, loss: 6.9671 2023-12-30 00:29:17,925 - pyskl - INFO - Epoch [22][1400/3746] lr: 9.507e-02, eta: 3 days, 12:23:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5170, loss_cls: 6.9896, loss: 6.9896 2023-12-30 00:30:17,793 - pyskl - INFO - Epoch [22][1500/3746] lr: 9.506e-02, eta: 3 days, 12:22:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5236, loss_cls: 6.9568, loss: 6.9568 2023-12-30 00:31:17,714 - pyskl - INFO - Epoch [22][1600/3746] lr: 9.505e-02, eta: 3 days, 12:21:13, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5050, loss_cls: 7.0009, loss: 7.0009 2023-12-30 00:32:17,463 - pyskl - INFO - Epoch [22][1700/3746] lr: 9.504e-02, eta: 3 days, 12:19:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.4963, loss_cls: 7.0100, loss: 7.0100 2023-12-30 00:33:17,358 - pyskl - INFO - Epoch [22][1800/3746] lr: 9.502e-02, eta: 3 days, 12:18:29, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5122, loss_cls: 6.9930, loss: 6.9930 2023-12-30 00:34:17,677 - pyskl - INFO - Epoch [22][1900/3746] lr: 9.501e-02, eta: 3 days, 12:17:09, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2506, top5_acc: 0.5086, loss_cls: 7.0011, loss: 7.0011 2023-12-30 00:35:17,495 - pyskl - INFO - Epoch [22][2000/3746] lr: 9.500e-02, eta: 3 days, 12:15:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5197, loss_cls: 6.9466, loss: 6.9466 2023-12-30 00:36:18,024 - pyskl - INFO - Epoch [22][2100/3746] lr: 9.499e-02, eta: 3 days, 12:14:29, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5106, loss_cls: 6.9828, loss: 6.9828 2023-12-30 00:37:18,294 - pyskl - INFO - Epoch [22][2200/3746] lr: 9.498e-02, eta: 3 days, 12:13:09, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5064, loss_cls: 6.9693, loss: 6.9693 2023-12-30 00:38:17,978 - pyskl - INFO - Epoch [22][2300/3746] lr: 9.496e-02, eta: 3 days, 12:11:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5119, loss_cls: 6.9676, loss: 6.9676 2023-12-30 00:39:17,341 - pyskl - INFO - Epoch [22][2400/3746] lr: 9.495e-02, eta: 3 days, 12:10:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.5027, loss_cls: 7.0267, loss: 7.0267 2023-12-30 00:40:17,015 - pyskl - INFO - Epoch [22][2500/3746] lr: 9.494e-02, eta: 3 days, 12:08:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5167, loss_cls: 6.9528, loss: 6.9528 2023-12-30 00:41:16,513 - pyskl - INFO - Epoch [22][2600/3746] lr: 9.493e-02, eta: 3 days, 12:07:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5111, loss_cls: 6.9678, loss: 6.9678 2023-12-30 00:42:16,236 - pyskl - INFO - Epoch [22][2700/3746] lr: 9.491e-02, eta: 3 days, 12:06:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5169, loss_cls: 6.9520, loss: 6.9520 2023-12-30 00:43:15,742 - pyskl - INFO - Epoch [22][2800/3746] lr: 9.490e-02, eta: 3 days, 12:04:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5014, loss_cls: 6.9779, loss: 6.9779 2023-12-30 00:44:15,145 - pyskl - INFO - Epoch [22][2900/3746] lr: 9.489e-02, eta: 3 days, 12:03:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.4977, loss_cls: 7.0393, loss: 7.0393 2023-12-30 00:45:14,553 - pyskl - INFO - Epoch [22][3000/3746] lr: 9.488e-02, eta: 3 days, 12:02:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5152, loss_cls: 6.9774, loss: 6.9774 2023-12-30 00:46:14,282 - pyskl - INFO - Epoch [22][3100/3746] lr: 9.487e-02, eta: 3 days, 12:00:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5067, loss_cls: 6.9827, loss: 6.9827 2023-12-30 00:47:14,063 - pyskl - INFO - Epoch [22][3200/3746] lr: 9.485e-02, eta: 3 days, 11:59:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5127, loss_cls: 6.9527, loss: 6.9527 2023-12-30 00:48:14,291 - pyskl - INFO - Epoch [22][3300/3746] lr: 9.484e-02, eta: 3 days, 11:57:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5144, loss_cls: 6.9950, loss: 6.9950 2023-12-30 00:49:13,893 - pyskl - INFO - Epoch [22][3400/3746] lr: 9.483e-02, eta: 3 days, 11:56:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5098, loss_cls: 6.9618, loss: 6.9618 2023-12-30 00:50:13,850 - pyskl - INFO - Epoch [22][3500/3746] lr: 9.482e-02, eta: 3 days, 11:55:14, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.5006, loss_cls: 7.0408, loss: 7.0408 2023-12-30 00:51:14,434 - pyskl - INFO - Epoch [22][3600/3746] lr: 9.480e-02, eta: 3 days, 11:53:57, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5112, loss_cls: 6.9783, loss: 6.9783 2023-12-30 00:52:14,658 - pyskl - INFO - Epoch [22][3700/3746] lr: 9.479e-02, eta: 3 days, 11:52:38, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5150, loss_cls: 6.9844, loss: 6.9844 2023-12-30 00:52:44,281 - pyskl - INFO - Saving checkpoint at 22 epochs 2023-12-30 00:54:44,985 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 00:54:46,099 - pyskl - INFO - top1_acc 0.1662 top5_acc 0.3704 2023-12-30 00:54:46,099 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 00:54:46,147 - pyskl - INFO - mean_acc 0.1658 2023-12-30 00:54:46,158 - pyskl - INFO - Epoch(val) [22][309] top1_acc: 0.1662, top5_acc: 0.3704, mean_class_accuracy: 0.1658 2023-12-30 00:58:09,140 - pyskl - INFO - Epoch [23][100/3746] lr: 9.477e-02, eta: 3 days, 12:01:51, time: 2.030, data_time: 1.432, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5119, loss_cls: 6.9771, loss: 6.9771 2023-12-30 00:59:09,196 - pyskl - INFO - Epoch [23][200/3746] lr: 9.476e-02, eta: 3 days, 12:00:31, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.5002, loss_cls: 7.0284, loss: 7.0284 2023-12-30 01:00:09,598 - pyskl - INFO - Epoch [23][300/3746] lr: 9.475e-02, eta: 3 days, 11:59:12, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5109, loss_cls: 6.9595, loss: 6.9595 2023-12-30 01:01:09,649 - pyskl - INFO - Epoch [23][400/3746] lr: 9.474e-02, eta: 3 days, 11:57:51, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5152, loss_cls: 6.9618, loss: 6.9618 2023-12-30 01:02:09,284 - pyskl - INFO - Epoch [23][500/3746] lr: 9.472e-02, eta: 3 days, 11:56:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5034, loss_cls: 7.0205, loss: 7.0205 2023-12-30 01:03:08,790 - pyskl - INFO - Epoch [23][600/3746] lr: 9.471e-02, eta: 3 days, 11:55:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5041, loss_cls: 6.9578, loss: 6.9578 2023-12-30 01:04:08,857 - pyskl - INFO - Epoch [23][700/3746] lr: 9.470e-02, eta: 3 days, 11:53:44, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5059, loss_cls: 6.9509, loss: 6.9509 2023-12-30 01:05:08,720 - pyskl - INFO - Epoch [23][800/3746] lr: 9.469e-02, eta: 3 days, 11:52:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5197, loss_cls: 6.9468, loss: 6.9468 2023-12-30 01:06:08,506 - pyskl - INFO - Epoch [23][900/3746] lr: 9.467e-02, eta: 3 days, 11:51:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5183, loss_cls: 6.9668, loss: 6.9668 2023-12-30 01:07:08,406 - pyskl - INFO - Epoch [23][1000/3746] lr: 9.466e-02, eta: 3 days, 11:49:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5158, loss_cls: 6.9554, loss: 6.9554 2023-12-30 01:08:08,327 - pyskl - INFO - Epoch [23][1100/3746] lr: 9.465e-02, eta: 3 days, 11:48:18, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5127, loss_cls: 6.9867, loss: 6.9867 2023-12-30 01:09:07,816 - pyskl - INFO - Epoch [23][1200/3746] lr: 9.464e-02, eta: 3 days, 11:46:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5195, loss_cls: 6.9271, loss: 6.9271 2023-12-30 01:10:07,617 - pyskl - INFO - Epoch [23][1300/3746] lr: 9.462e-02, eta: 3 days, 11:45:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5086, loss_cls: 6.9905, loss: 6.9905 2023-12-30 01:11:08,291 - pyskl - INFO - Epoch [23][1400/3746] lr: 9.461e-02, eta: 3 days, 11:44:16, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5125, loss_cls: 6.9726, loss: 6.9726 2023-12-30 01:12:08,941 - pyskl - INFO - Epoch [23][1500/3746] lr: 9.460e-02, eta: 3 days, 11:42:59, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.5014, loss_cls: 7.0366, loss: 7.0366 2023-12-30 01:13:09,154 - pyskl - INFO - Epoch [23][1600/3746] lr: 9.459e-02, eta: 3 days, 11:41:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5141, loss_cls: 6.9923, loss: 6.9923 2023-12-30 01:14:08,697 - pyskl - INFO - Epoch [23][1700/3746] lr: 9.457e-02, eta: 3 days, 11:40:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.5153, loss_cls: 6.9961, loss: 6.9961 2023-12-30 01:15:08,735 - pyskl - INFO - Epoch [23][1800/3746] lr: 9.456e-02, eta: 3 days, 11:38:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5055, loss_cls: 7.0035, loss: 7.0035 2023-12-30 01:16:08,658 - pyskl - INFO - Epoch [23][1900/3746] lr: 9.455e-02, eta: 3 days, 11:37:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5073, loss_cls: 6.9870, loss: 6.9870 2023-12-30 01:17:08,922 - pyskl - INFO - Epoch [23][2000/3746] lr: 9.453e-02, eta: 3 days, 11:36:18, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.5045, loss_cls: 7.0132, loss: 7.0132 2023-12-30 01:18:08,641 - pyskl - INFO - Epoch [23][2100/3746] lr: 9.452e-02, eta: 3 days, 11:34:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5205, loss_cls: 6.9334, loss: 6.9334 2023-12-30 01:19:08,345 - pyskl - INFO - Epoch [23][2200/3746] lr: 9.451e-02, eta: 3 days, 11:33:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5188, loss_cls: 6.9521, loss: 6.9521 2023-12-30 01:20:08,129 - pyskl - INFO - Epoch [23][2300/3746] lr: 9.450e-02, eta: 3 days, 11:32:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5077, loss_cls: 6.9872, loss: 6.9872 2023-12-30 01:21:08,798 - pyskl - INFO - Epoch [23][2400/3746] lr: 9.448e-02, eta: 3 days, 11:30:56, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5130, loss_cls: 6.9680, loss: 6.9680 2023-12-30 01:22:09,331 - pyskl - INFO - Epoch [23][2500/3746] lr: 9.447e-02, eta: 3 days, 11:29:39, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5095, loss_cls: 6.9702, loss: 6.9702 2023-12-30 01:23:09,986 - pyskl - INFO - Epoch [23][2600/3746] lr: 9.446e-02, eta: 3 days, 11:28:23, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5158, loss_cls: 6.9435, loss: 6.9435 2023-12-30 01:24:10,671 - pyskl - INFO - Epoch [23][2700/3746] lr: 9.445e-02, eta: 3 days, 11:27:07, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5150, loss_cls: 6.9383, loss: 6.9383 2023-12-30 01:25:11,393 - pyskl - INFO - Epoch [23][2800/3746] lr: 9.443e-02, eta: 3 days, 11:25:51, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.4995, loss_cls: 7.0160, loss: 7.0160 2023-12-30 01:26:12,211 - pyskl - INFO - Epoch [23][2900/3746] lr: 9.442e-02, eta: 3 days, 11:24:36, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5072, loss_cls: 6.9954, loss: 6.9954 2023-12-30 01:27:12,753 - pyskl - INFO - Epoch [23][3000/3746] lr: 9.441e-02, eta: 3 days, 11:23:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5025, loss_cls: 6.9973, loss: 6.9973 2023-12-30 01:28:13,046 - pyskl - INFO - Epoch [23][3100/3746] lr: 9.439e-02, eta: 3 days, 11:22:01, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5088, loss_cls: 6.9728, loss: 6.9728 2023-12-30 01:29:13,231 - pyskl - INFO - Epoch [23][3200/3746] lr: 9.438e-02, eta: 3 days, 11:20:43, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5061, loss_cls: 6.9799, loss: 6.9799 2023-12-30 01:30:13,833 - pyskl - INFO - Epoch [23][3300/3746] lr: 9.437e-02, eta: 3 days, 11:19:26, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5214, loss_cls: 6.9571, loss: 6.9571 2023-12-30 01:31:13,654 - pyskl - INFO - Epoch [23][3400/3746] lr: 9.436e-02, eta: 3 days, 11:18:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5050, loss_cls: 6.9797, loss: 6.9797 2023-12-30 01:32:13,067 - pyskl - INFO - Epoch [23][3500/3746] lr: 9.434e-02, eta: 3 days, 11:16:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5034, loss_cls: 6.9935, loss: 6.9935 2023-12-30 01:33:12,681 - pyskl - INFO - Epoch [23][3600/3746] lr: 9.433e-02, eta: 3 days, 11:15:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5138, loss_cls: 6.9646, loss: 6.9646 2023-12-30 01:34:12,344 - pyskl - INFO - Epoch [23][3700/3746] lr: 9.432e-02, eta: 3 days, 11:14:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5081, loss_cls: 7.0022, loss: 7.0022 2023-12-30 01:34:42,138 - pyskl - INFO - Saving checkpoint at 23 epochs 2023-12-30 01:36:44,249 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 01:36:45,306 - pyskl - INFO - top1_acc 0.1884 top5_acc 0.4089 2023-12-30 01:36:45,306 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 01:36:45,356 - pyskl - INFO - mean_acc 0.1883 2023-12-30 01:36:45,368 - pyskl - INFO - Epoch(val) [23][309] top1_acc: 0.1884, top5_acc: 0.4089, mean_class_accuracy: 0.1883 2023-12-30 01:40:04,230 - pyskl - INFO - Epoch [24][100/3746] lr: 9.430e-02, eta: 3 days, 11:22:17, time: 1.989, data_time: 1.393, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5286, loss_cls: 6.9095, loss: 6.9095 2023-12-30 01:41:04,397 - pyskl - INFO - Epoch [24][200/3746] lr: 9.428e-02, eta: 3 days, 11:20:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5169, loss_cls: 6.9616, loss: 6.9616 2023-12-30 01:42:04,767 - pyskl - INFO - Epoch [24][300/3746] lr: 9.427e-02, eta: 3 days, 11:19:40, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5061, loss_cls: 6.9587, loss: 6.9587 2023-12-30 01:43:04,188 - pyskl - INFO - Epoch [24][400/3746] lr: 9.426e-02, eta: 3 days, 11:18:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5095, loss_cls: 6.9431, loss: 6.9431 2023-12-30 01:44:03,800 - pyskl - INFO - Epoch [24][500/3746] lr: 9.425e-02, eta: 3 days, 11:16:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5278, loss_cls: 6.8711, loss: 6.8711 2023-12-30 01:45:03,723 - pyskl - INFO - Epoch [24][600/3746] lr: 9.423e-02, eta: 3 days, 11:15:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5141, loss_cls: 6.9637, loss: 6.9637 2023-12-30 01:46:04,297 - pyskl - INFO - Epoch [24][700/3746] lr: 9.422e-02, eta: 3 days, 11:14:17, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5091, loss_cls: 6.9959, loss: 6.9959 2023-12-30 01:47:05,054 - pyskl - INFO - Epoch [24][800/3746] lr: 9.421e-02, eta: 3 days, 11:13:02, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.5045, loss_cls: 7.0217, loss: 7.0217 2023-12-30 01:48:04,664 - pyskl - INFO - Epoch [24][900/3746] lr: 9.419e-02, eta: 3 days, 11:11:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5139, loss_cls: 6.9742, loss: 6.9742 2023-12-30 01:49:04,351 - pyskl - INFO - Epoch [24][1000/3746] lr: 9.418e-02, eta: 3 days, 11:10:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5139, loss_cls: 6.9424, loss: 6.9424 2023-12-30 01:50:04,007 - pyskl - INFO - Epoch [24][1100/3746] lr: 9.417e-02, eta: 3 days, 11:08:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5123, loss_cls: 6.9370, loss: 6.9370 2023-12-30 01:51:03,342 - pyskl - INFO - Epoch [24][1200/3746] lr: 9.415e-02, eta: 3 days, 11:07:33, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5125, loss_cls: 6.9424, loss: 6.9424 2023-12-30 01:52:02,507 - pyskl - INFO - Epoch [24][1300/3746] lr: 9.414e-02, eta: 3 days, 11:06:09, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5158, loss_cls: 6.9515, loss: 6.9515 2023-12-30 01:53:02,149 - pyskl - INFO - Epoch [24][1400/3746] lr: 9.413e-02, eta: 3 days, 11:04:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5142, loss_cls: 6.9765, loss: 6.9765 2023-12-30 01:54:02,288 - pyskl - INFO - Epoch [24][1500/3746] lr: 9.411e-02, eta: 3 days, 11:03:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5153, loss_cls: 6.9686, loss: 6.9686 2023-12-30 01:55:02,839 - pyskl - INFO - Epoch [24][1600/3746] lr: 9.410e-02, eta: 3 days, 11:02:12, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5173, loss_cls: 6.9774, loss: 6.9774 2023-12-30 01:56:03,152 - pyskl - INFO - Epoch [24][1700/3746] lr: 9.409e-02, eta: 3 days, 11:00:54, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5120, loss_cls: 6.9700, loss: 6.9700 2023-12-30 01:57:02,542 - pyskl - INFO - Epoch [24][1800/3746] lr: 9.407e-02, eta: 3 days, 10:59:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5145, loss_cls: 6.9594, loss: 6.9594 2023-12-30 01:58:02,000 - pyskl - INFO - Epoch [24][1900/3746] lr: 9.406e-02, eta: 3 days, 10:58:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5167, loss_cls: 6.9343, loss: 6.9343 2023-12-30 01:59:01,537 - pyskl - INFO - Epoch [24][2000/3746] lr: 9.405e-02, eta: 3 days, 10:56:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5191, loss_cls: 6.9235, loss: 6.9235 2023-12-30 02:00:00,973 - pyskl - INFO - Epoch [24][2100/3746] lr: 9.404e-02, eta: 3 days, 10:55:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2794, top5_acc: 0.5186, loss_cls: 6.9420, loss: 6.9420 2023-12-30 02:01:00,534 - pyskl - INFO - Epoch [24][2200/3746] lr: 9.402e-02, eta: 3 days, 10:54:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5111, loss_cls: 6.9662, loss: 6.9662 2023-12-30 02:02:00,123 - pyskl - INFO - Epoch [24][2300/3746] lr: 9.401e-02, eta: 3 days, 10:52:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5077, loss_cls: 6.9978, loss: 6.9978 2023-12-30 02:02:59,963 - pyskl - INFO - Epoch [24][2400/3746] lr: 9.400e-02, eta: 3 days, 10:51:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.5077, loss_cls: 6.9833, loss: 6.9833 2023-12-30 02:03:59,430 - pyskl - INFO - Epoch [24][2500/3746] lr: 9.398e-02, eta: 3 days, 10:50:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5120, loss_cls: 6.9466, loss: 6.9466 2023-12-30 02:04:58,843 - pyskl - INFO - Epoch [24][2600/3746] lr: 9.397e-02, eta: 3 days, 10:48:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5105, loss_cls: 7.0014, loss: 7.0014 2023-12-30 02:05:58,659 - pyskl - INFO - Epoch [24][2700/3746] lr: 9.396e-02, eta: 3 days, 10:47:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.5014, loss_cls: 7.0180, loss: 7.0180 2023-12-30 02:06:58,927 - pyskl - INFO - Epoch [24][2800/3746] lr: 9.394e-02, eta: 3 days, 10:46:00, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.5028, loss_cls: 7.0410, loss: 7.0410 2023-12-30 02:07:59,061 - pyskl - INFO - Epoch [24][2900/3746] lr: 9.393e-02, eta: 3 days, 10:44:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5053, loss_cls: 6.9809, loss: 6.9809 2023-12-30 02:08:58,632 - pyskl - INFO - Epoch [24][3000/3746] lr: 9.392e-02, eta: 3 days, 10:43:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5070, loss_cls: 6.9732, loss: 6.9732 2023-12-30 02:09:58,164 - pyskl - INFO - Epoch [24][3100/3746] lr: 9.390e-02, eta: 3 days, 10:41:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5131, loss_cls: 6.9938, loss: 6.9938 2023-12-30 02:10:57,827 - pyskl - INFO - Epoch [24][3200/3746] lr: 9.389e-02, eta: 3 days, 10:40:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5139, loss_cls: 6.9702, loss: 6.9702 2023-12-30 02:11:57,355 - pyskl - INFO - Epoch [24][3300/3746] lr: 9.388e-02, eta: 3 days, 10:39:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5028, loss_cls: 7.0119, loss: 7.0119 2023-12-30 02:12:56,941 - pyskl - INFO - Epoch [24][3400/3746] lr: 9.386e-02, eta: 3 days, 10:37:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5155, loss_cls: 6.9883, loss: 6.9883 2023-12-30 02:13:56,543 - pyskl - INFO - Epoch [24][3500/3746] lr: 9.385e-02, eta: 3 days, 10:36:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5023, loss_cls: 7.0072, loss: 7.0072 2023-12-30 02:14:56,177 - pyskl - INFO - Epoch [24][3600/3746] lr: 9.384e-02, eta: 3 days, 10:35:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.5083, loss_cls: 7.0085, loss: 7.0085 2023-12-30 02:15:55,711 - pyskl - INFO - Epoch [24][3700/3746] lr: 9.382e-02, eta: 3 days, 10:33:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5109, loss_cls: 6.9770, loss: 6.9770 2023-12-30 02:16:25,731 - pyskl - INFO - Saving checkpoint at 24 epochs 2023-12-30 02:18:26,574 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 02:18:27,703 - pyskl - INFO - top1_acc 0.1602 top5_acc 0.3726 2023-12-30 02:18:27,703 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 02:18:27,752 - pyskl - INFO - mean_acc 0.1600 2023-12-30 02:18:27,761 - pyskl - INFO - Epoch(val) [24][309] top1_acc: 0.1602, top5_acc: 0.3726, mean_class_accuracy: 0.1600 2023-12-30 02:21:47,987 - pyskl - INFO - Epoch [25][100/3746] lr: 9.380e-02, eta: 3 days, 10:41:50, time: 2.002, data_time: 1.399, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5133, loss_cls: 6.9738, loss: 6.9738 2023-12-30 02:22:47,641 - pyskl - INFO - Epoch [25][200/3746] lr: 9.379e-02, eta: 3 days, 10:40:29, time: 0.597, data_time: 0.001, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5247, loss_cls: 6.9165, loss: 6.9165 2023-12-30 02:23:47,445 - pyskl - INFO - Epoch [25][300/3746] lr: 9.378e-02, eta: 3 days, 10:39:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5133, loss_cls: 6.9491, loss: 6.9491 2023-12-30 02:24:46,969 - pyskl - INFO - Epoch [25][400/3746] lr: 9.376e-02, eta: 3 days, 10:37:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5208, loss_cls: 6.9169, loss: 6.9169 2023-12-30 02:25:46,124 - pyskl - INFO - Epoch [25][500/3746] lr: 9.375e-02, eta: 3 days, 10:36:23, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5086, loss_cls: 6.9710, loss: 6.9710 2023-12-30 02:26:45,654 - pyskl - INFO - Epoch [25][600/3746] lr: 9.373e-02, eta: 3 days, 10:35:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5150, loss_cls: 6.9519, loss: 6.9519 2023-12-30 02:27:45,321 - pyskl - INFO - Epoch [25][700/3746] lr: 9.372e-02, eta: 3 days, 10:33:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5042, loss_cls: 7.0271, loss: 7.0271 2023-12-30 02:28:45,653 - pyskl - INFO - Epoch [25][800/3746] lr: 9.371e-02, eta: 3 days, 10:32:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5028, loss_cls: 7.0173, loss: 7.0173 2023-12-30 02:29:45,897 - pyskl - INFO - Epoch [25][900/3746] lr: 9.369e-02, eta: 3 days, 10:31:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5006, loss_cls: 7.0183, loss: 7.0183 2023-12-30 02:30:45,566 - pyskl - INFO - Epoch [25][1000/3746] lr: 9.368e-02, eta: 3 days, 10:29:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5088, loss_cls: 6.9835, loss: 6.9835 2023-12-30 02:31:45,567 - pyskl - INFO - Epoch [25][1100/3746] lr: 9.367e-02, eta: 3 days, 10:28:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5091, loss_cls: 6.9586, loss: 6.9586 2023-12-30 02:32:45,086 - pyskl - INFO - Epoch [25][1200/3746] lr: 9.365e-02, eta: 3 days, 10:27:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.5022, loss_cls: 7.0161, loss: 7.0161 2023-12-30 02:33:44,487 - pyskl - INFO - Epoch [25][1300/3746] lr: 9.364e-02, eta: 3 days, 10:25:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5075, loss_cls: 6.9436, loss: 6.9436 2023-12-30 02:34:44,088 - pyskl - INFO - Epoch [25][1400/3746] lr: 9.363e-02, eta: 3 days, 10:24:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5222, loss_cls: 6.9356, loss: 6.9356 2023-12-30 02:35:43,722 - pyskl - INFO - Epoch [25][1500/3746] lr: 9.361e-02, eta: 3 days, 10:23:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5225, loss_cls: 6.9144, loss: 6.9144 2023-12-30 02:36:43,138 - pyskl - INFO - Epoch [25][1600/3746] lr: 9.360e-02, eta: 3 days, 10:21:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5091, loss_cls: 6.9945, loss: 6.9945 2023-12-30 02:37:42,790 - pyskl - INFO - Epoch [25][1700/3746] lr: 9.358e-02, eta: 3 days, 10:20:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5133, loss_cls: 6.9733, loss: 6.9733 2023-12-30 02:38:42,216 - pyskl - INFO - Epoch [25][1800/3746] lr: 9.357e-02, eta: 3 days, 10:18:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5216, loss_cls: 6.9430, loss: 6.9430 2023-12-30 02:39:42,008 - pyskl - INFO - Epoch [25][1900/3746] lr: 9.356e-02, eta: 3 days, 10:17:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5028, loss_cls: 7.0110, loss: 7.0110 2023-12-30 02:40:41,350 - pyskl - INFO - Epoch [25][2000/3746] lr: 9.354e-02, eta: 3 days, 10:16:17, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5191, loss_cls: 6.9453, loss: 6.9453 2023-12-30 02:41:42,565 - pyskl - INFO - Epoch [25][2100/3746] lr: 9.353e-02, eta: 3 days, 10:15:05, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5089, loss_cls: 6.9869, loss: 6.9869 2023-12-30 02:42:42,624 - pyskl - INFO - Epoch [25][2200/3746] lr: 9.352e-02, eta: 3 days, 10:13:47, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.5066, loss_cls: 7.0044, loss: 7.0044 2023-12-30 02:43:43,396 - pyskl - INFO - Epoch [25][2300/3746] lr: 9.350e-02, eta: 3 days, 10:12:32, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5195, loss_cls: 6.9625, loss: 6.9625 2023-12-30 02:44:43,073 - pyskl - INFO - Epoch [25][2400/3746] lr: 9.349e-02, eta: 3 days, 10:11:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5106, loss_cls: 6.9964, loss: 6.9964 2023-12-30 02:45:43,447 - pyskl - INFO - Epoch [25][2500/3746] lr: 9.347e-02, eta: 3 days, 10:09:56, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5136, loss_cls: 6.9624, loss: 6.9624 2023-12-30 02:46:43,024 - pyskl - INFO - Epoch [25][2600/3746] lr: 9.346e-02, eta: 3 days, 10:08:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5092, loss_cls: 6.9916, loss: 6.9916 2023-12-30 02:47:42,837 - pyskl - INFO - Epoch [25][2700/3746] lr: 9.345e-02, eta: 3 days, 10:07:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5162, loss_cls: 6.9593, loss: 6.9593 2023-12-30 02:48:43,504 - pyskl - INFO - Epoch [25][2800/3746] lr: 9.343e-02, eta: 3 days, 10:06:02, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5144, loss_cls: 6.9619, loss: 6.9619 2023-12-30 02:49:43,258 - pyskl - INFO - Epoch [25][2900/3746] lr: 9.342e-02, eta: 3 days, 10:04:42, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5138, loss_cls: 6.9715, loss: 6.9715 2023-12-30 02:50:43,196 - pyskl - INFO - Epoch [25][3000/3746] lr: 9.341e-02, eta: 3 days, 10:03:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2505, top5_acc: 0.5017, loss_cls: 7.0314, loss: 7.0314 2023-12-30 02:51:43,014 - pyskl - INFO - Epoch [25][3100/3746] lr: 9.339e-02, eta: 3 days, 10:02:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5211, loss_cls: 6.9425, loss: 6.9425 2023-12-30 02:52:42,770 - pyskl - INFO - Epoch [25][3200/3746] lr: 9.338e-02, eta: 3 days, 10:00:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5070, loss_cls: 6.9793, loss: 6.9793 2023-12-30 02:53:42,250 - pyskl - INFO - Epoch [25][3300/3746] lr: 9.336e-02, eta: 3 days, 9:59:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5122, loss_cls: 6.9693, loss: 6.9693 2023-12-30 02:54:41,543 - pyskl - INFO - Epoch [25][3400/3746] lr: 9.335e-02, eta: 3 days, 9:58:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5062, loss_cls: 7.0055, loss: 7.0055 2023-12-30 02:55:41,234 - pyskl - INFO - Epoch [25][3500/3746] lr: 9.334e-02, eta: 3 days, 9:56:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5045, loss_cls: 6.9824, loss: 6.9824 2023-12-30 02:56:40,721 - pyskl - INFO - Epoch [25][3600/3746] lr: 9.332e-02, eta: 3 days, 9:55:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5077, loss_cls: 7.0132, loss: 7.0132 2023-12-30 02:57:40,284 - pyskl - INFO - Epoch [25][3700/3746] lr: 9.331e-02, eta: 3 days, 9:54:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5205, loss_cls: 6.9372, loss: 6.9372 2023-12-30 02:58:10,306 - pyskl - INFO - Saving checkpoint at 25 epochs 2023-12-30 03:00:10,971 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 03:00:12,041 - pyskl - INFO - top1_acc 0.1768 top5_acc 0.3916 2023-12-30 03:00:12,041 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 03:00:12,075 - pyskl - INFO - mean_acc 0.1765 2023-12-30 03:00:12,083 - pyskl - INFO - Epoch(val) [25][309] top1_acc: 0.1768, top5_acc: 0.3916, mean_class_accuracy: 0.1765 2023-12-30 03:03:30,973 - pyskl - INFO - Epoch [26][100/3746] lr: 9.329e-02, eta: 3 days, 10:01:26, time: 1.989, data_time: 1.390, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5162, loss_cls: 6.9226, loss: 6.9226 2023-12-30 03:04:30,925 - pyskl - INFO - Epoch [26][200/3746] lr: 9.327e-02, eta: 3 days, 10:00:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5120, loss_cls: 6.9668, loss: 6.9668 2023-12-30 03:05:30,748 - pyskl - INFO - Epoch [26][300/3746] lr: 9.326e-02, eta: 3 days, 9:58:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5141, loss_cls: 6.9436, loss: 6.9436 2023-12-30 03:06:30,755 - pyskl - INFO - Epoch [26][400/3746] lr: 9.325e-02, eta: 3 days, 9:57:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5223, loss_cls: 6.9450, loss: 6.9450 2023-12-30 03:07:30,388 - pyskl - INFO - Epoch [26][500/3746] lr: 9.323e-02, eta: 3 days, 9:56:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5095, loss_cls: 6.9594, loss: 6.9594 2023-12-30 03:08:30,010 - pyskl - INFO - Epoch [26][600/3746] lr: 9.322e-02, eta: 3 days, 9:54:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5323, loss_cls: 6.8837, loss: 6.8837 2023-12-30 03:09:29,440 - pyskl - INFO - Epoch [26][700/3746] lr: 9.320e-02, eta: 3 days, 9:53:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5128, loss_cls: 6.9641, loss: 6.9641 2023-12-30 03:10:29,392 - pyskl - INFO - Epoch [26][800/3746] lr: 9.319e-02, eta: 3 days, 9:52:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5117, loss_cls: 6.9838, loss: 6.9838 2023-12-30 03:11:29,636 - pyskl - INFO - Epoch [26][900/3746] lr: 9.318e-02, eta: 3 days, 9:50:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5241, loss_cls: 6.9222, loss: 6.9222 2023-12-30 03:12:28,863 - pyskl - INFO - Epoch [26][1000/3746] lr: 9.316e-02, eta: 3 days, 9:49:31, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5056, loss_cls: 6.9835, loss: 6.9835 2023-12-30 03:13:28,566 - pyskl - INFO - Epoch [26][1100/3746] lr: 9.315e-02, eta: 3 days, 9:48:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2584, top5_acc: 0.5119, loss_cls: 6.9911, loss: 6.9911 2023-12-30 03:14:28,458 - pyskl - INFO - Epoch [26][1200/3746] lr: 9.313e-02, eta: 3 days, 9:46:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5184, loss_cls: 6.9258, loss: 6.9258 2023-12-30 03:15:27,718 - pyskl - INFO - Epoch [26][1300/3746] lr: 9.312e-02, eta: 3 days, 9:45:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5072, loss_cls: 6.9951, loss: 6.9951 2023-12-30 03:16:27,674 - pyskl - INFO - Epoch [26][1400/3746] lr: 9.310e-02, eta: 3 days, 9:44:13, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5038, loss_cls: 7.0161, loss: 7.0161 2023-12-30 03:17:27,645 - pyskl - INFO - Epoch [26][1500/3746] lr: 9.309e-02, eta: 3 days, 9:42:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5062, loss_cls: 6.9913, loss: 6.9913 2023-12-30 03:18:27,151 - pyskl - INFO - Epoch [26][1600/3746] lr: 9.308e-02, eta: 3 days, 9:41:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5009, loss_cls: 7.0193, loss: 7.0193 2023-12-30 03:19:26,757 - pyskl - INFO - Epoch [26][1700/3746] lr: 9.306e-02, eta: 3 days, 9:40:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5075, loss_cls: 6.9918, loss: 6.9918 2023-12-30 03:20:26,188 - pyskl - INFO - Epoch [26][1800/3746] lr: 9.305e-02, eta: 3 days, 9:38:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5227, loss_cls: 6.9161, loss: 6.9161 2023-12-30 03:21:26,152 - pyskl - INFO - Epoch [26][1900/3746] lr: 9.303e-02, eta: 3 days, 9:37:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5145, loss_cls: 6.9699, loss: 6.9699 2023-12-30 03:22:26,918 - pyskl - INFO - Epoch [26][2000/3746] lr: 9.302e-02, eta: 3 days, 9:36:23, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5073, loss_cls: 6.9588, loss: 6.9588 2023-12-30 03:23:26,746 - pyskl - INFO - Epoch [26][2100/3746] lr: 9.300e-02, eta: 3 days, 9:35:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5031, loss_cls: 7.0097, loss: 7.0097 2023-12-30 03:24:26,828 - pyskl - INFO - Epoch [26][2200/3746] lr: 9.299e-02, eta: 3 days, 9:33:47, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5131, loss_cls: 6.9655, loss: 6.9655 2023-12-30 03:25:27,283 - pyskl - INFO - Epoch [26][2300/3746] lr: 9.298e-02, eta: 3 days, 9:32:32, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5236, loss_cls: 6.9498, loss: 6.9498 2023-12-30 03:26:27,485 - pyskl - INFO - Epoch [26][2400/3746] lr: 9.296e-02, eta: 3 days, 9:31:15, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5038, loss_cls: 7.0090, loss: 7.0090 2023-12-30 03:27:27,156 - pyskl - INFO - Epoch [26][2500/3746] lr: 9.295e-02, eta: 3 days, 9:29:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5133, loss_cls: 6.9910, loss: 6.9910 2023-12-30 03:28:26,517 - pyskl - INFO - Epoch [26][2600/3746] lr: 9.293e-02, eta: 3 days, 9:28:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5091, loss_cls: 6.9673, loss: 6.9673 2023-12-30 03:29:26,061 - pyskl - INFO - Epoch [26][2700/3746] lr: 9.292e-02, eta: 3 days, 9:27:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5097, loss_cls: 6.9767, loss: 6.9767 2023-12-30 03:30:25,472 - pyskl - INFO - Epoch [26][2800/3746] lr: 9.290e-02, eta: 3 days, 9:25:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.4925, loss_cls: 7.0638, loss: 7.0638 2023-12-30 03:31:25,070 - pyskl - INFO - Epoch [26][2900/3746] lr: 9.289e-02, eta: 3 days, 9:24:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5139, loss_cls: 6.9552, loss: 6.9552 2023-12-30 03:32:24,333 - pyskl - INFO - Epoch [26][3000/3746] lr: 9.288e-02, eta: 3 days, 9:23:15, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5144, loss_cls: 6.9480, loss: 6.9480 2023-12-30 03:33:23,945 - pyskl - INFO - Epoch [26][3100/3746] lr: 9.286e-02, eta: 3 days, 9:21:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5123, loss_cls: 6.9616, loss: 6.9616 2023-12-30 03:34:23,297 - pyskl - INFO - Epoch [26][3200/3746] lr: 9.285e-02, eta: 3 days, 9:20:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5186, loss_cls: 6.9443, loss: 6.9443 2023-12-30 03:35:22,676 - pyskl - INFO - Epoch [26][3300/3746] lr: 9.283e-02, eta: 3 days, 9:19:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5138, loss_cls: 6.9705, loss: 6.9705 2023-12-30 03:36:22,211 - pyskl - INFO - Epoch [26][3400/3746] lr: 9.282e-02, eta: 3 days, 9:17:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5119, loss_cls: 6.9621, loss: 6.9621 2023-12-30 03:37:22,464 - pyskl - INFO - Epoch [26][3500/3746] lr: 9.280e-02, eta: 3 days, 9:16:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5053, loss_cls: 7.0087, loss: 7.0087 2023-12-30 03:38:22,023 - pyskl - INFO - Epoch [26][3600/3746] lr: 9.279e-02, eta: 3 days, 9:15:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5166, loss_cls: 6.9409, loss: 6.9409 2023-12-30 03:39:21,586 - pyskl - INFO - Epoch [26][3700/3746] lr: 9.278e-02, eta: 3 days, 9:14:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5128, loss_cls: 6.9755, loss: 6.9755 2023-12-30 03:39:52,594 - pyskl - INFO - Saving checkpoint at 26 epochs 2023-12-30 03:41:57,178 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 03:41:58,221 - pyskl - INFO - top1_acc 0.1824 top5_acc 0.3992 2023-12-30 03:41:58,221 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 03:41:58,261 - pyskl - INFO - mean_acc 0.1821 2023-12-30 03:41:58,272 - pyskl - INFO - Epoch(val) [26][309] top1_acc: 0.1824, top5_acc: 0.3992, mean_class_accuracy: 0.1821 2023-12-30 03:45:23,265 - pyskl - INFO - Epoch [27][100/3746] lr: 9.275e-02, eta: 3 days, 9:21:29, time: 2.050, data_time: 1.452, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5194, loss_cls: 6.9644, loss: 6.9644 2023-12-30 03:46:23,021 - pyskl - INFO - Epoch [27][200/3746] lr: 9.274e-02, eta: 3 days, 9:20:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5161, loss_cls: 6.9526, loss: 6.9526 2023-12-30 03:47:23,211 - pyskl - INFO - Epoch [27][300/3746] lr: 9.272e-02, eta: 3 days, 9:18:53, time: 0.602, data_time: 0.001, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5219, loss_cls: 6.9210, loss: 6.9210 2023-12-30 03:48:23,225 - pyskl - INFO - Epoch [27][400/3746] lr: 9.271e-02, eta: 3 days, 9:17:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5309, loss_cls: 6.8878, loss: 6.8878 2023-12-30 03:49:23,242 - pyskl - INFO - Epoch [27][500/3746] lr: 9.270e-02, eta: 3 days, 9:16:18, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5297, loss_cls: 6.8954, loss: 6.8954 2023-12-30 03:50:23,096 - pyskl - INFO - Epoch [27][600/3746] lr: 9.268e-02, eta: 3 days, 9:15:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5086, loss_cls: 6.9457, loss: 6.9457 2023-12-30 03:51:22,957 - pyskl - INFO - Epoch [27][700/3746] lr: 9.267e-02, eta: 3 days, 9:13:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5105, loss_cls: 6.9712, loss: 6.9712 2023-12-30 03:52:23,016 - pyskl - INFO - Epoch [27][800/3746] lr: 9.265e-02, eta: 3 days, 9:12:25, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5155, loss_cls: 6.9377, loss: 6.9377 2023-12-30 03:53:23,424 - pyskl - INFO - Epoch [27][900/3746] lr: 9.264e-02, eta: 3 days, 9:11:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5066, loss_cls: 6.9886, loss: 6.9886 2023-12-30 03:54:23,169 - pyskl - INFO - Epoch [27][1000/3746] lr: 9.262e-02, eta: 3 days, 9:09:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5138, loss_cls: 6.9392, loss: 6.9392 2023-12-30 03:55:23,075 - pyskl - INFO - Epoch [27][1100/3746] lr: 9.261e-02, eta: 3 days, 9:08:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5084, loss_cls: 6.9807, loss: 6.9807 2023-12-30 03:56:22,797 - pyskl - INFO - Epoch [27][1200/3746] lr: 9.259e-02, eta: 3 days, 9:07:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5098, loss_cls: 6.9452, loss: 6.9452 2023-12-30 03:57:22,123 - pyskl - INFO - Epoch [27][1300/3746] lr: 9.258e-02, eta: 3 days, 9:05:54, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5098, loss_cls: 6.9692, loss: 6.9692 2023-12-30 03:58:21,536 - pyskl - INFO - Epoch [27][1400/3746] lr: 9.256e-02, eta: 3 days, 9:04:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5150, loss_cls: 6.9588, loss: 6.9588 2023-12-30 03:59:20,982 - pyskl - INFO - Epoch [27][1500/3746] lr: 9.255e-02, eta: 3 days, 9:03:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5230, loss_cls: 6.9280, loss: 6.9280 2023-12-30 04:00:20,293 - pyskl - INFO - Epoch [27][1600/3746] lr: 9.253e-02, eta: 3 days, 9:01:54, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5000, loss_cls: 7.0112, loss: 7.0112 2023-12-30 04:01:19,692 - pyskl - INFO - Epoch [27][1700/3746] lr: 9.252e-02, eta: 3 days, 9:00:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5147, loss_cls: 6.9662, loss: 6.9662 2023-12-30 04:02:19,183 - pyskl - INFO - Epoch [27][1800/3746] lr: 9.251e-02, eta: 3 days, 8:59:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5211, loss_cls: 6.9522, loss: 6.9522 2023-12-30 04:03:18,764 - pyskl - INFO - Epoch [27][1900/3746] lr: 9.249e-02, eta: 3 days, 8:57:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5188, loss_cls: 6.9575, loss: 6.9575 2023-12-30 04:04:18,291 - pyskl - INFO - Epoch [27][2000/3746] lr: 9.248e-02, eta: 3 days, 8:56:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5212, loss_cls: 6.9307, loss: 6.9307 2023-12-30 04:05:18,021 - pyskl - INFO - Epoch [27][2100/3746] lr: 9.246e-02, eta: 3 days, 8:55:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5103, loss_cls: 6.9583, loss: 6.9583 2023-12-30 04:06:18,568 - pyskl - INFO - Epoch [27][2200/3746] lr: 9.245e-02, eta: 3 days, 8:54:03, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5088, loss_cls: 6.9732, loss: 6.9732 2023-12-30 04:07:18,314 - pyskl - INFO - Epoch [27][2300/3746] lr: 9.243e-02, eta: 3 days, 8:52:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5005, loss_cls: 6.9926, loss: 6.9926 2023-12-30 04:08:17,552 - pyskl - INFO - Epoch [27][2400/3746] lr: 9.242e-02, eta: 3 days, 8:51:25, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5167, loss_cls: 6.9780, loss: 6.9780 2023-12-30 04:09:17,591 - pyskl - INFO - Epoch [27][2500/3746] lr: 9.240e-02, eta: 3 days, 8:50:08, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5030, loss_cls: 6.9974, loss: 6.9974 2023-12-30 04:10:17,196 - pyskl - INFO - Epoch [27][2600/3746] lr: 9.239e-02, eta: 3 days, 8:48:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5059, loss_cls: 6.9893, loss: 6.9893 2023-12-30 04:11:16,572 - pyskl - INFO - Epoch [27][2700/3746] lr: 9.237e-02, eta: 3 days, 8:47:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5089, loss_cls: 6.9934, loss: 6.9934 2023-12-30 04:12:16,417 - pyskl - INFO - Epoch [27][2800/3746] lr: 9.236e-02, eta: 3 days, 8:46:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5170, loss_cls: 6.9263, loss: 6.9263 2023-12-30 04:13:15,912 - pyskl - INFO - Epoch [27][2900/3746] lr: 9.234e-02, eta: 3 days, 8:44:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5197, loss_cls: 6.9530, loss: 6.9530 2023-12-30 04:14:15,492 - pyskl - INFO - Epoch [27][3000/3746] lr: 9.233e-02, eta: 3 days, 8:43:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5183, loss_cls: 6.9458, loss: 6.9458 2023-12-30 04:15:14,888 - pyskl - INFO - Epoch [27][3100/3746] lr: 9.231e-02, eta: 3 days, 8:42:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5056, loss_cls: 6.9928, loss: 6.9928 2023-12-30 04:16:14,673 - pyskl - INFO - Epoch [27][3200/3746] lr: 9.230e-02, eta: 3 days, 8:40:58, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5119, loss_cls: 6.9536, loss: 6.9536 2023-12-30 04:17:14,918 - pyskl - INFO - Epoch [27][3300/3746] lr: 9.228e-02, eta: 3 days, 8:39:43, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5052, loss_cls: 6.9939, loss: 6.9939 2023-12-30 04:18:14,481 - pyskl - INFO - Epoch [27][3400/3746] lr: 9.227e-02, eta: 3 days, 8:38:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5134, loss_cls: 6.9643, loss: 6.9643 2023-12-30 04:19:14,065 - pyskl - INFO - Epoch [27][3500/3746] lr: 9.225e-02, eta: 3 days, 8:37:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5166, loss_cls: 6.9277, loss: 6.9277 2023-12-30 04:20:13,478 - pyskl - INFO - Epoch [27][3600/3746] lr: 9.224e-02, eta: 3 days, 8:35:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.4963, loss_cls: 7.0003, loss: 7.0003 2023-12-30 04:21:13,785 - pyskl - INFO - Epoch [27][3700/3746] lr: 9.222e-02, eta: 3 days, 8:34:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5164, loss_cls: 6.9755, loss: 6.9755 2023-12-30 04:21:43,706 - pyskl - INFO - Saving checkpoint at 27 epochs 2023-12-30 04:23:45,540 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 04:23:46,449 - pyskl - INFO - top1_acc 0.1923 top5_acc 0.4211 2023-12-30 04:23:46,449 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 04:23:46,505 - pyskl - INFO - mean_acc 0.1920 2023-12-30 04:23:46,518 - pyskl - INFO - Epoch(val) [27][309] top1_acc: 0.1923, top5_acc: 0.4211, mean_class_accuracy: 0.1920 2023-12-30 04:27:09,894 - pyskl - INFO - Epoch [28][100/3746] lr: 9.220e-02, eta: 3 days, 8:41:27, time: 2.034, data_time: 1.434, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5192, loss_cls: 6.9184, loss: 6.9184 2023-12-30 04:28:09,657 - pyskl - INFO - Epoch [28][200/3746] lr: 9.219e-02, eta: 3 days, 8:40:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5167, loss_cls: 6.9484, loss: 6.9484 2023-12-30 04:29:09,762 - pyskl - INFO - Epoch [28][300/3746] lr: 9.217e-02, eta: 3 days, 8:38:52, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5256, loss_cls: 6.9093, loss: 6.9093 2023-12-30 04:30:09,502 - pyskl - INFO - Epoch [28][400/3746] lr: 9.216e-02, eta: 3 days, 8:37:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5067, loss_cls: 6.9400, loss: 6.9400 2023-12-30 04:31:09,310 - pyskl - INFO - Epoch [28][500/3746] lr: 9.214e-02, eta: 3 days, 8:36:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5172, loss_cls: 6.9112, loss: 6.9112 2023-12-30 04:32:09,369 - pyskl - INFO - Epoch [28][600/3746] lr: 9.213e-02, eta: 3 days, 8:35:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5084, loss_cls: 6.9717, loss: 6.9717 2023-12-30 04:33:08,849 - pyskl - INFO - Epoch [28][700/3746] lr: 9.211e-02, eta: 3 days, 8:33:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5252, loss_cls: 6.9275, loss: 6.9275 2023-12-30 04:34:08,612 - pyskl - INFO - Epoch [28][800/3746] lr: 9.210e-02, eta: 3 days, 8:32:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5119, loss_cls: 6.9749, loss: 6.9749 2023-12-30 04:35:09,268 - pyskl - INFO - Epoch [28][900/3746] lr: 9.208e-02, eta: 3 days, 8:31:09, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5131, loss_cls: 6.9694, loss: 6.9694 2023-12-30 04:36:09,453 - pyskl - INFO - Epoch [28][1000/3746] lr: 9.207e-02, eta: 3 days, 8:29:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5250, loss_cls: 6.8918, loss: 6.8918 2023-12-30 04:37:08,810 - pyskl - INFO - Epoch [28][1100/3746] lr: 9.205e-02, eta: 3 days, 8:28:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5186, loss_cls: 6.9301, loss: 6.9301 2023-12-30 04:38:08,165 - pyskl - INFO - Epoch [28][1200/3746] lr: 9.204e-02, eta: 3 days, 8:27:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5119, loss_cls: 6.9354, loss: 6.9354 2023-12-30 04:39:07,490 - pyskl - INFO - Epoch [28][1300/3746] lr: 9.202e-02, eta: 3 days, 8:25:55, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5005, loss_cls: 6.9877, loss: 6.9877 2023-12-30 04:40:06,880 - pyskl - INFO - Epoch [28][1400/3746] lr: 9.201e-02, eta: 3 days, 8:24:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5205, loss_cls: 6.9541, loss: 6.9541 2023-12-30 04:41:06,458 - pyskl - INFO - Epoch [28][1500/3746] lr: 9.199e-02, eta: 3 days, 8:23:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5125, loss_cls: 6.9726, loss: 6.9726 2023-12-30 04:42:05,941 - pyskl - INFO - Epoch [28][1600/3746] lr: 9.198e-02, eta: 3 days, 8:21:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5119, loss_cls: 6.9443, loss: 6.9443 2023-12-30 04:43:05,826 - pyskl - INFO - Epoch [28][1700/3746] lr: 9.196e-02, eta: 3 days, 8:20:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5048, loss_cls: 6.9866, loss: 6.9866 2023-12-30 04:44:05,658 - pyskl - INFO - Epoch [28][1800/3746] lr: 9.194e-02, eta: 3 days, 8:19:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5122, loss_cls: 6.9874, loss: 6.9874 2023-12-30 04:45:05,120 - pyskl - INFO - Epoch [28][1900/3746] lr: 9.193e-02, eta: 3 days, 8:18:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5202, loss_cls: 6.9420, loss: 6.9420 2023-12-30 04:46:04,714 - pyskl - INFO - Epoch [28][2000/3746] lr: 9.191e-02, eta: 3 days, 8:16:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5206, loss_cls: 6.9376, loss: 6.9376 2023-12-30 04:47:04,565 - pyskl - INFO - Epoch [28][2100/3746] lr: 9.190e-02, eta: 3 days, 8:15:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5186, loss_cls: 6.9150, loss: 6.9150 2023-12-30 04:48:05,075 - pyskl - INFO - Epoch [28][2200/3746] lr: 9.188e-02, eta: 3 days, 8:14:16, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5097, loss_cls: 6.9627, loss: 6.9627 2023-12-30 04:49:04,863 - pyskl - INFO - Epoch [28][2300/3746] lr: 9.187e-02, eta: 3 days, 8:12:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5014, loss_cls: 7.0115, loss: 7.0115 2023-12-30 04:50:04,504 - pyskl - INFO - Epoch [28][2400/3746] lr: 9.185e-02, eta: 3 days, 8:11:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5156, loss_cls: 6.9357, loss: 6.9357 2023-12-30 04:51:03,915 - pyskl - INFO - Epoch [28][2500/3746] lr: 9.184e-02, eta: 3 days, 8:10:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5283, loss_cls: 6.9086, loss: 6.9086 2023-12-30 04:52:03,323 - pyskl - INFO - Epoch [28][2600/3746] lr: 9.182e-02, eta: 3 days, 8:09:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5177, loss_cls: 6.9454, loss: 6.9454 2023-12-30 04:53:02,785 - pyskl - INFO - Epoch [28][2700/3746] lr: 9.181e-02, eta: 3 days, 8:07:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5134, loss_cls: 6.9477, loss: 6.9477 2023-12-30 04:54:02,398 - pyskl - INFO - Epoch [28][2800/3746] lr: 9.179e-02, eta: 3 days, 8:06:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5073, loss_cls: 6.9925, loss: 6.9925 2023-12-30 04:55:01,792 - pyskl - INFO - Epoch [28][2900/3746] lr: 9.178e-02, eta: 3 days, 8:05:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5147, loss_cls: 6.9697, loss: 6.9697 2023-12-30 04:56:01,172 - pyskl - INFO - Epoch [28][3000/3746] lr: 9.176e-02, eta: 3 days, 8:03:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5138, loss_cls: 6.9685, loss: 6.9685 2023-12-30 04:57:00,536 - pyskl - INFO - Epoch [28][3100/3746] lr: 9.175e-02, eta: 3 days, 8:02:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5058, loss_cls: 7.0027, loss: 7.0027 2023-12-30 04:58:00,108 - pyskl - INFO - Epoch [28][3200/3746] lr: 9.173e-02, eta: 3 days, 8:01:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5180, loss_cls: 6.9431, loss: 6.9431 2023-12-30 04:58:59,630 - pyskl - INFO - Epoch [28][3300/3746] lr: 9.172e-02, eta: 3 days, 7:59:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5175, loss_cls: 6.9489, loss: 6.9489 2023-12-30 04:59:59,220 - pyskl - INFO - Epoch [28][3400/3746] lr: 9.170e-02, eta: 3 days, 7:58:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5062, loss_cls: 6.9890, loss: 6.9890 2023-12-30 05:00:58,528 - pyskl - INFO - Epoch [28][3500/3746] lr: 9.168e-02, eta: 3 days, 7:57:18, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5112, loss_cls: 6.9558, loss: 6.9558 2023-12-30 05:01:57,986 - pyskl - INFO - Epoch [28][3600/3746] lr: 9.167e-02, eta: 3 days, 7:56:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5056, loss_cls: 7.0044, loss: 7.0044 2023-12-30 05:02:57,372 - pyskl - INFO - Epoch [28][3700/3746] lr: 9.165e-02, eta: 3 days, 7:54:42, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5081, loss_cls: 6.9458, loss: 6.9458 2023-12-30 05:03:28,089 - pyskl - INFO - Saving checkpoint at 28 epochs 2023-12-30 05:05:31,070 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 05:05:32,235 - pyskl - INFO - top1_acc 0.2074 top5_acc 0.4405 2023-12-30 05:05:32,236 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 05:05:32,288 - pyskl - INFO - mean_acc 0.2072 2023-12-30 05:05:32,295 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_16.pth was removed 2023-12-30 05:05:32,770 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_28.pth. 2023-12-30 05:05:32,771 - pyskl - INFO - Best top1_acc is 0.2074 at 28 epoch. 2023-12-30 05:05:32,788 - pyskl - INFO - Epoch(val) [28][309] top1_acc: 0.2074, top5_acc: 0.4405, mean_class_accuracy: 0.2072 2023-12-30 05:09:00,334 - pyskl - INFO - Epoch [29][100/3746] lr: 9.163e-02, eta: 3 days, 8:01:33, time: 2.075, data_time: 1.473, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5175, loss_cls: 6.9317, loss: 6.9317 2023-12-30 05:10:00,055 - pyskl - INFO - Epoch [29][200/3746] lr: 9.162e-02, eta: 3 days, 8:00:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5108, loss_cls: 6.9005, loss: 6.9005 2023-12-30 05:11:00,635 - pyskl - INFO - Epoch [29][300/3746] lr: 9.160e-02, eta: 3 days, 7:59:02, time: 0.606, data_time: 0.001, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5217, loss_cls: 6.9278, loss: 6.9278 2023-12-30 05:12:00,642 - pyskl - INFO - Epoch [29][400/3746] lr: 9.158e-02, eta: 3 days, 7:57:46, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5169, loss_cls: 6.9490, loss: 6.9490 2023-12-30 05:13:00,354 - pyskl - INFO - Epoch [29][500/3746] lr: 9.157e-02, eta: 3 days, 7:56:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5141, loss_cls: 6.9511, loss: 6.9511 2023-12-30 05:13:59,758 - pyskl - INFO - Epoch [29][600/3746] lr: 9.155e-02, eta: 3 days, 7:55:09, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5202, loss_cls: 6.9317, loss: 6.9317 2023-12-30 05:14:59,191 - pyskl - INFO - Epoch [29][700/3746] lr: 9.154e-02, eta: 3 days, 7:53:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5233, loss_cls: 6.9212, loss: 6.9212 2023-12-30 05:15:58,499 - pyskl - INFO - Epoch [29][800/3746] lr: 9.152e-02, eta: 3 days, 7:52:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5117, loss_cls: 6.9825, loss: 6.9825 2023-12-30 05:16:58,635 - pyskl - INFO - Epoch [29][900/3746] lr: 9.151e-02, eta: 3 days, 7:51:16, time: 0.601, data_time: 0.001, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5152, loss_cls: 6.9051, loss: 6.9051 2023-12-30 05:17:58,852 - pyskl - INFO - Epoch [29][1000/3746] lr: 9.149e-02, eta: 3 days, 7:50:01, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5172, loss_cls: 6.9134, loss: 6.9134 2023-12-30 05:18:58,392 - pyskl - INFO - Epoch [29][1100/3746] lr: 9.148e-02, eta: 3 days, 7:48:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5186, loss_cls: 6.9330, loss: 6.9330 2023-12-30 05:19:58,023 - pyskl - INFO - Epoch [29][1200/3746] lr: 9.146e-02, eta: 3 days, 7:47:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5191, loss_cls: 6.9306, loss: 6.9306 2023-12-30 05:20:57,625 - pyskl - INFO - Epoch [29][1300/3746] lr: 9.144e-02, eta: 3 days, 7:46:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5084, loss_cls: 6.9574, loss: 6.9574 2023-12-30 05:21:57,202 - pyskl - INFO - Epoch [29][1400/3746] lr: 9.143e-02, eta: 3 days, 7:44:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5086, loss_cls: 6.9608, loss: 6.9608 2023-12-30 05:22:56,945 - pyskl - INFO - Epoch [29][1500/3746] lr: 9.141e-02, eta: 3 days, 7:43:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5091, loss_cls: 6.9488, loss: 6.9488 2023-12-30 05:23:57,299 - pyskl - INFO - Epoch [29][1600/3746] lr: 9.140e-02, eta: 3 days, 7:42:19, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5197, loss_cls: 6.9035, loss: 6.9035 2023-12-30 05:24:56,843 - pyskl - INFO - Epoch [29][1700/3746] lr: 9.138e-02, eta: 3 days, 7:41:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5252, loss_cls: 6.9443, loss: 6.9443 2023-12-30 05:25:57,256 - pyskl - INFO - Epoch [29][1800/3746] lr: 9.137e-02, eta: 3 days, 7:39:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5186, loss_cls: 6.9224, loss: 6.9224 2023-12-30 05:26:56,920 - pyskl - INFO - Epoch [29][1900/3746] lr: 9.135e-02, eta: 3 days, 7:38:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5230, loss_cls: 6.9208, loss: 6.9208 2023-12-30 05:27:56,439 - pyskl - INFO - Epoch [29][2000/3746] lr: 9.133e-02, eta: 3 days, 7:37:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5086, loss_cls: 6.9826, loss: 6.9826 2023-12-30 05:28:56,558 - pyskl - INFO - Epoch [29][2100/3746] lr: 9.132e-02, eta: 3 days, 7:35:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5056, loss_cls: 6.9803, loss: 6.9803 2023-12-30 05:29:56,339 - pyskl - INFO - Epoch [29][2200/3746] lr: 9.130e-02, eta: 3 days, 7:34:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5130, loss_cls: 6.9447, loss: 6.9447 2023-12-30 05:30:56,225 - pyskl - INFO - Epoch [29][2300/3746] lr: 9.129e-02, eta: 3 days, 7:33:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5225, loss_cls: 6.9372, loss: 6.9372 2023-12-30 05:31:55,813 - pyskl - INFO - Epoch [29][2400/3746] lr: 9.127e-02, eta: 3 days, 7:32:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5116, loss_cls: 6.9680, loss: 6.9680 2023-12-30 05:32:56,182 - pyskl - INFO - Epoch [29][2500/3746] lr: 9.126e-02, eta: 3 days, 7:30:52, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5081, loss_cls: 6.9465, loss: 6.9465 2023-12-30 05:33:56,222 - pyskl - INFO - Epoch [29][2600/3746] lr: 9.124e-02, eta: 3 days, 7:29:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5019, loss_cls: 6.9929, loss: 6.9929 2023-12-30 05:34:56,004 - pyskl - INFO - Epoch [29][2700/3746] lr: 9.122e-02, eta: 3 days, 7:28:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5214, loss_cls: 6.9337, loss: 6.9337 2023-12-30 05:35:56,399 - pyskl - INFO - Epoch [29][2800/3746] lr: 9.121e-02, eta: 3 days, 7:27:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5177, loss_cls: 6.9415, loss: 6.9415 2023-12-30 05:36:57,116 - pyskl - INFO - Epoch [29][2900/3746] lr: 9.119e-02, eta: 3 days, 7:25:54, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5073, loss_cls: 6.9517, loss: 6.9517 2023-12-30 05:37:56,761 - pyskl - INFO - Epoch [29][3000/3746] lr: 9.118e-02, eta: 3 days, 7:24:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5025, loss_cls: 6.9894, loss: 6.9894 2023-12-30 05:38:57,304 - pyskl - INFO - Epoch [29][3100/3746] lr: 9.116e-02, eta: 3 days, 7:23:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5112, loss_cls: 6.9501, loss: 6.9501 2023-12-30 05:39:57,777 - pyskl - INFO - Epoch [29][3200/3746] lr: 9.114e-02, eta: 3 days, 7:22:10, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5166, loss_cls: 6.9468, loss: 6.9468 2023-12-30 05:40:57,544 - pyskl - INFO - Epoch [29][3300/3746] lr: 9.113e-02, eta: 3 days, 7:20:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5144, loss_cls: 6.9874, loss: 6.9874 2023-12-30 05:41:58,093 - pyskl - INFO - Epoch [29][3400/3746] lr: 9.111e-02, eta: 3 days, 7:19:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5061, loss_cls: 7.0060, loss: 7.0060 2023-12-30 05:42:57,657 - pyskl - INFO - Epoch [29][3500/3746] lr: 9.110e-02, eta: 3 days, 7:18:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5097, loss_cls: 6.9639, loss: 6.9639 2023-12-30 05:43:57,088 - pyskl - INFO - Epoch [29][3600/3746] lr: 9.108e-02, eta: 3 days, 7:17:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5291, loss_cls: 6.9027, loss: 6.9027 2023-12-30 05:44:56,484 - pyskl - INFO - Epoch [29][3700/3746] lr: 9.106e-02, eta: 3 days, 7:15:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.5078, loss_cls: 6.9836, loss: 6.9836 2023-12-30 05:45:26,837 - pyskl - INFO - Saving checkpoint at 29 epochs 2023-12-30 05:47:27,974 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 05:47:29,014 - pyskl - INFO - top1_acc 0.2041 top5_acc 0.4290 2023-12-30 05:47:29,014 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 05:47:29,052 - pyskl - INFO - mean_acc 0.2040 2023-12-30 05:47:29,062 - pyskl - INFO - Epoch(val) [29][309] top1_acc: 0.2041, top5_acc: 0.4290, mean_class_accuracy: 0.2040 2023-12-30 05:50:52,248 - pyskl - INFO - Epoch [30][100/3746] lr: 9.104e-02, eta: 3 days, 7:22:00, time: 2.032, data_time: 1.434, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5391, loss_cls: 6.8404, loss: 6.8404 2023-12-30 05:51:52,337 - pyskl - INFO - Epoch [30][200/3746] lr: 9.103e-02, eta: 3 days, 7:20:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5206, loss_cls: 6.9080, loss: 6.9080 2023-12-30 05:52:52,466 - pyskl - INFO - Epoch [30][300/3746] lr: 9.101e-02, eta: 3 days, 7:19:30, time: 0.601, data_time: 0.001, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5123, loss_cls: 6.9405, loss: 6.9405 2023-12-30 05:53:52,191 - pyskl - INFO - Epoch [30][400/3746] lr: 9.099e-02, eta: 3 days, 7:18:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5155, loss_cls: 6.9417, loss: 6.9417 2023-12-30 05:54:51,965 - pyskl - INFO - Epoch [30][500/3746] lr: 9.098e-02, eta: 3 days, 7:16:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5181, loss_cls: 6.9472, loss: 6.9472 2023-12-30 05:55:51,390 - pyskl - INFO - Epoch [30][600/3746] lr: 9.096e-02, eta: 3 days, 7:15:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5170, loss_cls: 6.9432, loss: 6.9432 2023-12-30 05:56:51,242 - pyskl - INFO - Epoch [30][700/3746] lr: 9.095e-02, eta: 3 days, 7:14:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5280, loss_cls: 6.8904, loss: 6.8904 2023-12-30 05:57:50,540 - pyskl - INFO - Epoch [30][800/3746] lr: 9.093e-02, eta: 3 days, 7:13:03, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5177, loss_cls: 6.9403, loss: 6.9403 2023-12-30 05:58:50,345 - pyskl - INFO - Epoch [30][900/3746] lr: 9.091e-02, eta: 3 days, 7:11:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5127, loss_cls: 6.9567, loss: 6.9567 2023-12-30 05:59:50,650 - pyskl - INFO - Epoch [30][1000/3746] lr: 9.090e-02, eta: 3 days, 7:10:33, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5162, loss_cls: 6.9435, loss: 6.9435 2023-12-30 06:00:50,526 - pyskl - INFO - Epoch [30][1100/3746] lr: 9.088e-02, eta: 3 days, 7:09:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5177, loss_cls: 6.9214, loss: 6.9214 2023-12-30 06:01:49,763 - pyskl - INFO - Epoch [30][1200/3746] lr: 9.087e-02, eta: 3 days, 7:07:58, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5102, loss_cls: 6.9583, loss: 6.9583 2023-12-30 06:02:49,743 - pyskl - INFO - Epoch [30][1300/3746] lr: 9.085e-02, eta: 3 days, 7:06:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5048, loss_cls: 6.9825, loss: 6.9825 2023-12-30 06:03:48,906 - pyskl - INFO - Epoch [30][1400/3746] lr: 9.083e-02, eta: 3 days, 7:05:24, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5055, loss_cls: 6.9995, loss: 6.9995 2023-12-30 06:04:48,076 - pyskl - INFO - Epoch [30][1500/3746] lr: 9.082e-02, eta: 3 days, 7:04:05, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5150, loss_cls: 6.9762, loss: 6.9762 2023-12-30 06:05:48,148 - pyskl - INFO - Epoch [30][1600/3746] lr: 9.080e-02, eta: 3 days, 7:02:50, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5203, loss_cls: 6.9167, loss: 6.9167 2023-12-30 06:06:48,352 - pyskl - INFO - Epoch [30][1700/3746] lr: 9.078e-02, eta: 3 days, 7:01:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5059, loss_cls: 6.9744, loss: 6.9744 2023-12-30 06:07:48,877 - pyskl - INFO - Epoch [30][1800/3746] lr: 9.077e-02, eta: 3 days, 7:00:22, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5231, loss_cls: 6.9340, loss: 6.9340 2023-12-30 06:08:49,248 - pyskl - INFO - Epoch [30][1900/3746] lr: 9.075e-02, eta: 3 days, 6:59:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5195, loss_cls: 6.9509, loss: 6.9509 2023-12-30 06:09:48,799 - pyskl - INFO - Epoch [30][2000/3746] lr: 9.074e-02, eta: 3 days, 6:57:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2628, top5_acc: 0.5097, loss_cls: 6.9695, loss: 6.9695 2023-12-30 06:10:48,451 - pyskl - INFO - Epoch [30][2100/3746] lr: 9.072e-02, eta: 3 days, 6:56:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5153, loss_cls: 6.9550, loss: 6.9550 2023-12-30 06:11:48,094 - pyskl - INFO - Epoch [30][2200/3746] lr: 9.070e-02, eta: 3 days, 6:55:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5169, loss_cls: 6.9376, loss: 6.9376 2023-12-30 06:12:47,925 - pyskl - INFO - Epoch [30][2300/3746] lr: 9.069e-02, eta: 3 days, 6:54:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5195, loss_cls: 6.9041, loss: 6.9041 2023-12-30 06:13:47,465 - pyskl - INFO - Epoch [30][2400/3746] lr: 9.067e-02, eta: 3 days, 6:52:46, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5195, loss_cls: 6.9574, loss: 6.9574 2023-12-30 06:14:47,024 - pyskl - INFO - Epoch [30][2500/3746] lr: 9.065e-02, eta: 3 days, 6:51:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5169, loss_cls: 6.9546, loss: 6.9546 2023-12-30 06:15:46,740 - pyskl - INFO - Epoch [30][2600/3746] lr: 9.064e-02, eta: 3 days, 6:50:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5008, loss_cls: 7.0048, loss: 7.0048 2023-12-30 06:16:46,144 - pyskl - INFO - Epoch [30][2700/3746] lr: 9.062e-02, eta: 3 days, 6:48:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5228, loss_cls: 6.9337, loss: 6.9337 2023-12-30 06:17:45,513 - pyskl - INFO - Epoch [30][2800/3746] lr: 9.061e-02, eta: 3 days, 6:47:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5153, loss_cls: 6.9382, loss: 6.9382 2023-12-30 06:18:45,259 - pyskl - INFO - Epoch [30][2900/3746] lr: 9.059e-02, eta: 3 days, 6:46:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5228, loss_cls: 6.9131, loss: 6.9131 2023-12-30 06:19:44,805 - pyskl - INFO - Epoch [30][3000/3746] lr: 9.057e-02, eta: 3 days, 6:45:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5127, loss_cls: 6.9706, loss: 6.9706 2023-12-30 06:20:44,489 - pyskl - INFO - Epoch [30][3100/3746] lr: 9.056e-02, eta: 3 days, 6:43:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5170, loss_cls: 6.9282, loss: 6.9282 2023-12-30 06:21:44,071 - pyskl - INFO - Epoch [30][3200/3746] lr: 9.054e-02, eta: 3 days, 6:42:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5077, loss_cls: 6.9609, loss: 6.9609 2023-12-30 06:22:43,685 - pyskl - INFO - Epoch [30][3300/3746] lr: 9.052e-02, eta: 3 days, 6:41:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5098, loss_cls: 6.9571, loss: 6.9571 2023-12-30 06:23:42,879 - pyskl - INFO - Epoch [30][3400/3746] lr: 9.051e-02, eta: 3 days, 6:39:58, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5092, loss_cls: 6.9796, loss: 6.9796 2023-12-30 06:24:42,646 - pyskl - INFO - Epoch [30][3500/3746] lr: 9.049e-02, eta: 3 days, 6:38:42, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5156, loss_cls: 6.9476, loss: 6.9476 2023-12-30 06:25:43,111 - pyskl - INFO - Epoch [30][3600/3746] lr: 9.047e-02, eta: 3 days, 6:37:29, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5089, loss_cls: 6.9799, loss: 6.9799 2023-12-30 06:26:43,836 - pyskl - INFO - Epoch [30][3700/3746] lr: 9.046e-02, eta: 3 days, 6:36:17, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5061, loss_cls: 6.9800, loss: 6.9800 2023-12-30 06:27:14,859 - pyskl - INFO - Saving checkpoint at 30 epochs 2023-12-30 06:29:14,977 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 06:29:16,029 - pyskl - INFO - top1_acc 0.1958 top5_acc 0.4232 2023-12-30 06:29:16,029 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 06:29:16,069 - pyskl - INFO - mean_acc 0.1955 2023-12-30 06:29:16,077 - pyskl - INFO - Epoch(val) [30][309] top1_acc: 0.1958, top5_acc: 0.4232, mean_class_accuracy: 0.1955 2023-12-30 06:32:36,608 - pyskl - INFO - Epoch [31][100/3746] lr: 9.043e-02, eta: 3 days, 6:41:59, time: 2.005, data_time: 1.406, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5233, loss_cls: 6.9244, loss: 6.9244 2023-12-30 06:33:36,237 - pyskl - INFO - Epoch [31][200/3746] lr: 9.042e-02, eta: 3 days, 6:40:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5192, loss_cls: 6.9215, loss: 6.9215 2023-12-30 06:34:36,297 - pyskl - INFO - Epoch [31][300/3746] lr: 9.040e-02, eta: 3 days, 6:39:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5138, loss_cls: 6.9454, loss: 6.9454 2023-12-30 06:35:36,042 - pyskl - INFO - Epoch [31][400/3746] lr: 9.039e-02, eta: 3 days, 6:38:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5262, loss_cls: 6.9094, loss: 6.9094 2023-12-30 06:36:35,521 - pyskl - INFO - Epoch [31][500/3746] lr: 9.037e-02, eta: 3 days, 6:36:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5195, loss_cls: 6.9341, loss: 6.9341 2023-12-30 06:37:34,782 - pyskl - INFO - Epoch [31][600/3746] lr: 9.035e-02, eta: 3 days, 6:35:36, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5217, loss_cls: 6.9247, loss: 6.9247 2023-12-30 06:38:34,382 - pyskl - INFO - Epoch [31][700/3746] lr: 9.034e-02, eta: 3 days, 6:34:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5116, loss_cls: 6.9384, loss: 6.9384 2023-12-30 06:39:33,733 - pyskl - INFO - Epoch [31][800/3746] lr: 9.032e-02, eta: 3 days, 6:33:02, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5155, loss_cls: 6.9137, loss: 6.9137 2023-12-30 06:40:33,724 - pyskl - INFO - Epoch [31][900/3746] lr: 9.030e-02, eta: 3 days, 6:31:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5152, loss_cls: 6.9488, loss: 6.9488 2023-12-30 06:41:33,808 - pyskl - INFO - Epoch [31][1000/3746] lr: 9.029e-02, eta: 3 days, 6:30:32, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5177, loss_cls: 6.9466, loss: 6.9466 2023-12-30 06:42:33,877 - pyskl - INFO - Epoch [31][1100/3746] lr: 9.027e-02, eta: 3 days, 6:29:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5181, loss_cls: 6.9142, loss: 6.9142 2023-12-30 06:43:33,434 - pyskl - INFO - Epoch [31][1200/3746] lr: 9.025e-02, eta: 3 days, 6:28:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5167, loss_cls: 6.9413, loss: 6.9413 2023-12-30 06:44:33,278 - pyskl - INFO - Epoch [31][1300/3746] lr: 9.024e-02, eta: 3 days, 6:26:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5106, loss_cls: 6.9757, loss: 6.9757 2023-12-30 06:45:33,545 - pyskl - INFO - Epoch [31][1400/3746] lr: 9.022e-02, eta: 3 days, 6:25:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5095, loss_cls: 6.9701, loss: 6.9701 2023-12-30 06:46:33,121 - pyskl - INFO - Epoch [31][1500/3746] lr: 9.020e-02, eta: 3 days, 6:24:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2584, top5_acc: 0.5098, loss_cls: 6.9634, loss: 6.9634 2023-12-30 06:47:32,672 - pyskl - INFO - Epoch [31][1600/3746] lr: 9.019e-02, eta: 3 days, 6:22:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5155, loss_cls: 6.9154, loss: 6.9154 2023-12-30 06:48:32,227 - pyskl - INFO - Epoch [31][1700/3746] lr: 9.017e-02, eta: 3 days, 6:21:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5230, loss_cls: 6.9097, loss: 6.9097 2023-12-30 06:49:31,692 - pyskl - INFO - Epoch [31][1800/3746] lr: 9.015e-02, eta: 3 days, 6:20:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5194, loss_cls: 6.9390, loss: 6.9390 2023-12-30 06:50:31,159 - pyskl - INFO - Epoch [31][1900/3746] lr: 9.014e-02, eta: 3 days, 6:19:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5186, loss_cls: 6.9335, loss: 6.9335 2023-12-30 06:51:30,450 - pyskl - INFO - Epoch [31][2000/3746] lr: 9.012e-02, eta: 3 days, 6:17:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5136, loss_cls: 6.9763, loss: 6.9763 2023-12-30 06:52:29,978 - pyskl - INFO - Epoch [31][2100/3746] lr: 9.010e-02, eta: 3 days, 6:16:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5209, loss_cls: 6.9040, loss: 6.9040 2023-12-30 06:53:29,361 - pyskl - INFO - Epoch [31][2200/3746] lr: 9.009e-02, eta: 3 days, 6:15:18, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5131, loss_cls: 6.9596, loss: 6.9596 2023-12-30 06:54:28,744 - pyskl - INFO - Epoch [31][2300/3746] lr: 9.007e-02, eta: 3 days, 6:14:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5188, loss_cls: 6.9341, loss: 6.9341 2023-12-30 06:55:28,273 - pyskl - INFO - Epoch [31][2400/3746] lr: 9.005e-02, eta: 3 days, 6:12:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5047, loss_cls: 6.9583, loss: 6.9583 2023-12-30 06:56:27,903 - pyskl - INFO - Epoch [31][2500/3746] lr: 9.004e-02, eta: 3 days, 6:11:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5175, loss_cls: 6.9185, loss: 6.9185 2023-12-30 06:57:27,602 - pyskl - INFO - Epoch [31][2600/3746] lr: 9.002e-02, eta: 3 days, 6:10:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5255, loss_cls: 6.9236, loss: 6.9236 2023-12-30 06:58:28,095 - pyskl - INFO - Epoch [31][2700/3746] lr: 9.000e-02, eta: 3 days, 6:09:00, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5102, loss_cls: 6.9555, loss: 6.9555 2023-12-30 06:59:28,669 - pyskl - INFO - Epoch [31][2800/3746] lr: 8.999e-02, eta: 3 days, 6:07:48, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5219, loss_cls: 6.9441, loss: 6.9441 2023-12-30 07:00:29,026 - pyskl - INFO - Epoch [31][2900/3746] lr: 8.997e-02, eta: 3 days, 6:06:35, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5000, loss_cls: 6.9955, loss: 6.9955 2023-12-30 07:01:29,194 - pyskl - INFO - Epoch [31][3000/3746] lr: 8.995e-02, eta: 3 days, 6:05:21, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5153, loss_cls: 6.9239, loss: 6.9239 2023-12-30 07:02:28,692 - pyskl - INFO - Epoch [31][3100/3746] lr: 8.994e-02, eta: 3 days, 6:04:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5223, loss_cls: 6.9192, loss: 6.9192 2023-12-30 07:03:28,199 - pyskl - INFO - Epoch [31][3200/3746] lr: 8.992e-02, eta: 3 days, 6:02:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.5009, loss_cls: 7.0171, loss: 7.0171 2023-12-30 07:04:28,082 - pyskl - INFO - Epoch [31][3300/3746] lr: 8.990e-02, eta: 3 days, 6:01:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5158, loss_cls: 6.9117, loss: 6.9117 2023-12-30 07:05:27,808 - pyskl - INFO - Epoch [31][3400/3746] lr: 8.989e-02, eta: 3 days, 6:00:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5205, loss_cls: 6.9364, loss: 6.9364 2023-12-30 07:06:27,285 - pyskl - INFO - Epoch [31][3500/3746] lr: 8.987e-02, eta: 3 days, 5:59:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5042, loss_cls: 6.9804, loss: 6.9804 2023-12-30 07:07:26,994 - pyskl - INFO - Epoch [31][3600/3746] lr: 8.985e-02, eta: 3 days, 5:57:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5114, loss_cls: 6.9531, loss: 6.9531 2023-12-30 07:08:27,084 - pyskl - INFO - Epoch [31][3700/3746] lr: 8.983e-02, eta: 3 days, 5:56:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5197, loss_cls: 6.9125, loss: 6.9125 2023-12-30 07:08:57,279 - pyskl - INFO - Saving checkpoint at 31 epochs 2023-12-30 07:10:58,321 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 07:10:59,370 - pyskl - INFO - top1_acc 0.2008 top5_acc 0.4311 2023-12-30 07:10:59,371 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 07:10:59,410 - pyskl - INFO - mean_acc 0.2006 2023-12-30 07:10:59,419 - pyskl - INFO - Epoch(val) [31][309] top1_acc: 0.2008, top5_acc: 0.4311, mean_class_accuracy: 0.2006 2023-12-30 07:14:21,573 - pyskl - INFO - Epoch [32][100/3746] lr: 8.981e-02, eta: 3 days, 6:02:03, time: 2.021, data_time: 1.423, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5266, loss_cls: 6.8909, loss: 6.8909 2023-12-30 07:15:21,292 - pyskl - INFO - Epoch [32][200/3746] lr: 8.979e-02, eta: 3 days, 6:00:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5241, loss_cls: 6.9063, loss: 6.9063 2023-12-30 07:16:20,789 - pyskl - INFO - Epoch [32][300/3746] lr: 8.978e-02, eta: 3 days, 5:59:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5186, loss_cls: 6.9144, loss: 6.9144 2023-12-30 07:17:20,869 - pyskl - INFO - Epoch [32][400/3746] lr: 8.976e-02, eta: 3 days, 5:58:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5214, loss_cls: 6.9179, loss: 6.9179 2023-12-30 07:18:20,893 - pyskl - INFO - Epoch [32][500/3746] lr: 8.974e-02, eta: 3 days, 5:57:02, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5178, loss_cls: 6.9333, loss: 6.9333 2023-12-30 07:19:20,193 - pyskl - INFO - Epoch [32][600/3746] lr: 8.973e-02, eta: 3 days, 5:55:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5202, loss_cls: 6.9309, loss: 6.9309 2023-12-30 07:20:19,612 - pyskl - INFO - Epoch [32][700/3746] lr: 8.971e-02, eta: 3 days, 5:54:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5133, loss_cls: 6.9876, loss: 6.9876 2023-12-30 07:21:19,027 - pyskl - INFO - Epoch [32][800/3746] lr: 8.969e-02, eta: 3 days, 5:53:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5200, loss_cls: 6.9488, loss: 6.9488 2023-12-30 07:22:18,364 - pyskl - INFO - Epoch [32][900/3746] lr: 8.967e-02, eta: 3 days, 5:51:55, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5198, loss_cls: 6.9260, loss: 6.9260 2023-12-30 07:23:18,344 - pyskl - INFO - Epoch [32][1000/3746] lr: 8.966e-02, eta: 3 days, 5:50:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5167, loss_cls: 6.9335, loss: 6.9335 2023-12-30 07:24:18,842 - pyskl - INFO - Epoch [32][1100/3746] lr: 8.964e-02, eta: 3 days, 5:49:28, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5227, loss_cls: 6.9008, loss: 6.9008 2023-12-30 07:25:18,226 - pyskl - INFO - Epoch [32][1200/3746] lr: 8.962e-02, eta: 3 days, 5:48:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5180, loss_cls: 6.9363, loss: 6.9363 2023-12-30 07:26:18,143 - pyskl - INFO - Epoch [32][1300/3746] lr: 8.961e-02, eta: 3 days, 5:46:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5106, loss_cls: 6.9500, loss: 6.9500 2023-12-30 07:27:17,960 - pyskl - INFO - Epoch [32][1400/3746] lr: 8.959e-02, eta: 3 days, 5:45:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5127, loss_cls: 6.9394, loss: 6.9394 2023-12-30 07:28:17,353 - pyskl - INFO - Epoch [32][1500/3746] lr: 8.957e-02, eta: 3 days, 5:44:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5280, loss_cls: 6.8873, loss: 6.8873 2023-12-30 07:29:16,795 - pyskl - INFO - Epoch [32][1600/3746] lr: 8.955e-02, eta: 3 days, 5:43:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5027, loss_cls: 6.9962, loss: 6.9962 2023-12-30 07:30:16,145 - pyskl - INFO - Epoch [32][1700/3746] lr: 8.954e-02, eta: 3 days, 5:41:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5153, loss_cls: 6.9360, loss: 6.9360 2023-12-30 07:31:15,575 - pyskl - INFO - Epoch [32][1800/3746] lr: 8.952e-02, eta: 3 days, 5:40:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5231, loss_cls: 6.9144, loss: 6.9144 2023-12-30 07:32:15,381 - pyskl - INFO - Epoch [32][1900/3746] lr: 8.950e-02, eta: 3 days, 5:39:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5105, loss_cls: 6.9625, loss: 6.9625 2023-12-30 07:33:14,916 - pyskl - INFO - Epoch [32][2000/3746] lr: 8.949e-02, eta: 3 days, 5:38:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5239, loss_cls: 6.9036, loss: 6.9036 2023-12-30 07:34:14,642 - pyskl - INFO - Epoch [32][2100/3746] lr: 8.947e-02, eta: 3 days, 5:36:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5197, loss_cls: 6.9181, loss: 6.9181 2023-12-30 07:35:14,253 - pyskl - INFO - Epoch [32][2200/3746] lr: 8.945e-02, eta: 3 days, 5:35:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5088, loss_cls: 6.9712, loss: 6.9712 2023-12-30 07:36:13,725 - pyskl - INFO - Epoch [32][2300/3746] lr: 8.943e-02, eta: 3 days, 5:34:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2731, top5_acc: 0.5100, loss_cls: 6.9607, loss: 6.9607 2023-12-30 07:37:13,425 - pyskl - INFO - Epoch [32][2400/3746] lr: 8.942e-02, eta: 3 days, 5:33:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5123, loss_cls: 6.9617, loss: 6.9617 2023-12-30 07:38:13,164 - pyskl - INFO - Epoch [32][2500/3746] lr: 8.940e-02, eta: 3 days, 5:31:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5288, loss_cls: 6.9306, loss: 6.9306 2023-12-30 07:39:12,755 - pyskl - INFO - Epoch [32][2600/3746] lr: 8.938e-02, eta: 3 days, 5:30:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5223, loss_cls: 6.9403, loss: 6.9403 2023-12-30 07:40:12,492 - pyskl - INFO - Epoch [32][2700/3746] lr: 8.937e-02, eta: 3 days, 5:29:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5173, loss_cls: 6.9228, loss: 6.9228 2023-12-30 07:41:12,179 - pyskl - INFO - Epoch [32][2800/3746] lr: 8.935e-02, eta: 3 days, 5:28:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5173, loss_cls: 6.9540, loss: 6.9540 2023-12-30 07:42:11,755 - pyskl - INFO - Epoch [32][2900/3746] lr: 8.933e-02, eta: 3 days, 5:26:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5211, loss_cls: 6.9411, loss: 6.9411 2023-12-30 07:43:11,340 - pyskl - INFO - Epoch [32][3000/3746] lr: 8.931e-02, eta: 3 days, 5:25:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5200, loss_cls: 6.9353, loss: 6.9353 2023-12-30 07:44:11,027 - pyskl - INFO - Epoch [32][3100/3746] lr: 8.930e-02, eta: 3 days, 5:24:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5100, loss_cls: 6.9804, loss: 6.9804 2023-12-30 07:45:10,419 - pyskl - INFO - Epoch [32][3200/3746] lr: 8.928e-02, eta: 3 days, 5:22:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5205, loss_cls: 6.9311, loss: 6.9311 2023-12-30 07:46:09,755 - pyskl - INFO - Epoch [32][3300/3746] lr: 8.926e-02, eta: 3 days, 5:21:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5188, loss_cls: 6.9308, loss: 6.9308 2023-12-30 07:47:09,575 - pyskl - INFO - Epoch [32][3400/3746] lr: 8.924e-02, eta: 3 days, 5:20:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5156, loss_cls: 6.9439, loss: 6.9439 2023-12-30 07:48:09,159 - pyskl - INFO - Epoch [32][3500/3746] lr: 8.923e-02, eta: 3 days, 5:19:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5092, loss_cls: 6.9613, loss: 6.9613 2023-12-30 07:49:08,609 - pyskl - INFO - Epoch [32][3600/3746] lr: 8.921e-02, eta: 3 days, 5:17:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5205, loss_cls: 6.9375, loss: 6.9375 2023-12-30 07:50:08,323 - pyskl - INFO - Epoch [32][3700/3746] lr: 8.919e-02, eta: 3 days, 5:16:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2628, top5_acc: 0.5083, loss_cls: 6.9549, loss: 6.9549 2023-12-30 07:50:38,649 - pyskl - INFO - Saving checkpoint at 32 epochs 2023-12-30 07:52:39,943 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 07:52:41,003 - pyskl - INFO - top1_acc 0.1970 top5_acc 0.4297 2023-12-30 07:52:41,004 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 07:52:41,042 - pyskl - INFO - mean_acc 0.1967 2023-12-30 07:52:41,051 - pyskl - INFO - Epoch(val) [32][309] top1_acc: 0.1970, top5_acc: 0.4297, mean_class_accuracy: 0.1967 2023-12-30 07:56:00,035 - pyskl - INFO - Epoch [33][100/3746] lr: 8.917e-02, eta: 3 days, 5:21:45, time: 1.990, data_time: 1.396, memory: 16177, top1_acc: 0.2766, top5_acc: 0.5295, loss_cls: 6.8800, loss: 6.8800 2023-12-30 07:57:00,279 - pyskl - INFO - Epoch [33][200/3746] lr: 8.915e-02, eta: 3 days, 5:20:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5264, loss_cls: 6.9025, loss: 6.9025 2023-12-30 07:57:59,983 - pyskl - INFO - Epoch [33][300/3746] lr: 8.913e-02, eta: 3 days, 5:19:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5273, loss_cls: 6.8718, loss: 6.8718 2023-12-30 07:58:59,840 - pyskl - INFO - Epoch [33][400/3746] lr: 8.912e-02, eta: 3 days, 5:18:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5216, loss_cls: 6.9388, loss: 6.9388 2023-12-30 07:59:59,639 - pyskl - INFO - Epoch [33][500/3746] lr: 8.910e-02, eta: 3 days, 5:16:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5189, loss_cls: 6.9332, loss: 6.9332 2023-12-30 08:00:59,685 - pyskl - INFO - Epoch [33][600/3746] lr: 8.908e-02, eta: 3 days, 5:15:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5233, loss_cls: 6.9122, loss: 6.9122 2023-12-30 08:01:59,513 - pyskl - INFO - Epoch [33][700/3746] lr: 8.906e-02, eta: 3 days, 5:14:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5264, loss_cls: 6.8968, loss: 6.8968 2023-12-30 08:02:59,014 - pyskl - INFO - Epoch [33][800/3746] lr: 8.905e-02, eta: 3 days, 5:13:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5145, loss_cls: 6.9555, loss: 6.9555 2023-12-30 08:03:58,684 - pyskl - INFO - Epoch [33][900/3746] lr: 8.903e-02, eta: 3 days, 5:11:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5217, loss_cls: 6.8707, loss: 6.8707 2023-12-30 08:04:58,409 - pyskl - INFO - Epoch [33][1000/3746] lr: 8.901e-02, eta: 3 days, 5:10:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5203, loss_cls: 6.9075, loss: 6.9075 2023-12-30 08:05:58,328 - pyskl - INFO - Epoch [33][1100/3746] lr: 8.899e-02, eta: 3 days, 5:09:18, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5242, loss_cls: 6.9057, loss: 6.9057 2023-12-30 08:06:58,627 - pyskl - INFO - Epoch [33][1200/3746] lr: 8.898e-02, eta: 3 days, 5:08:06, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5022, loss_cls: 7.0225, loss: 7.0225 2023-12-30 08:07:58,140 - pyskl - INFO - Epoch [33][1300/3746] lr: 8.896e-02, eta: 3 days, 5:06:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5262, loss_cls: 6.8989, loss: 6.8989 2023-12-30 08:08:57,666 - pyskl - INFO - Epoch [33][1400/3746] lr: 8.894e-02, eta: 3 days, 5:05:34, time: 0.595, data_time: 0.001, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5241, loss_cls: 6.9178, loss: 6.9178 2023-12-30 08:09:57,059 - pyskl - INFO - Epoch [33][1500/3746] lr: 8.892e-02, eta: 3 days, 5:04:18, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5161, loss_cls: 6.9096, loss: 6.9096 2023-12-30 08:10:56,478 - pyskl - INFO - Epoch [33][1600/3746] lr: 8.891e-02, eta: 3 days, 5:03:02, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5131, loss_cls: 6.9356, loss: 6.9356 2023-12-30 08:11:55,898 - pyskl - INFO - Epoch [33][1700/3746] lr: 8.889e-02, eta: 3 days, 5:01:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5134, loss_cls: 6.9209, loss: 6.9209 2023-12-30 08:12:55,558 - pyskl - INFO - Epoch [33][1800/3746] lr: 8.887e-02, eta: 3 days, 5:00:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5098, loss_cls: 6.9876, loss: 6.9876 2023-12-30 08:13:55,257 - pyskl - INFO - Epoch [33][1900/3746] lr: 8.885e-02, eta: 3 days, 4:59:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5202, loss_cls: 6.9498, loss: 6.9498 2023-12-30 08:14:55,117 - pyskl - INFO - Epoch [33][2000/3746] lr: 8.884e-02, eta: 3 days, 4:58:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5145, loss_cls: 6.9333, loss: 6.9333 2023-12-30 08:15:54,978 - pyskl - INFO - Epoch [33][2100/3746] lr: 8.882e-02, eta: 3 days, 4:56:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5259, loss_cls: 6.9135, loss: 6.9135 2023-12-30 08:16:54,811 - pyskl - INFO - Epoch [33][2200/3746] lr: 8.880e-02, eta: 3 days, 4:55:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5167, loss_cls: 6.9410, loss: 6.9410 2023-12-30 08:17:54,467 - pyskl - INFO - Epoch [33][2300/3746] lr: 8.878e-02, eta: 3 days, 4:54:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5052, loss_cls: 6.9935, loss: 6.9935 2023-12-30 08:18:53,948 - pyskl - INFO - Epoch [33][2400/3746] lr: 8.876e-02, eta: 3 days, 4:53:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5380, loss_cls: 6.8585, loss: 6.8585 2023-12-30 08:19:53,501 - pyskl - INFO - Epoch [33][2500/3746] lr: 8.875e-02, eta: 3 days, 4:51:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5220, loss_cls: 6.9145, loss: 6.9145 2023-12-30 08:20:53,202 - pyskl - INFO - Epoch [33][2600/3746] lr: 8.873e-02, eta: 3 days, 4:50:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5089, loss_cls: 6.9625, loss: 6.9625 2023-12-30 08:21:52,979 - pyskl - INFO - Epoch [33][2700/3746] lr: 8.871e-02, eta: 3 days, 4:49:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5039, loss_cls: 6.9861, loss: 6.9861 2023-12-30 08:22:52,400 - pyskl - INFO - Epoch [33][2800/3746] lr: 8.869e-02, eta: 3 days, 4:48:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2731, top5_acc: 0.5219, loss_cls: 6.9121, loss: 6.9121 2023-12-30 08:23:51,821 - pyskl - INFO - Epoch [33][2900/3746] lr: 8.868e-02, eta: 3 days, 4:46:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5192, loss_cls: 6.9342, loss: 6.9342 2023-12-30 08:24:51,450 - pyskl - INFO - Epoch [33][3000/3746] lr: 8.866e-02, eta: 3 days, 4:45:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5175, loss_cls: 6.9169, loss: 6.9169 2023-12-30 08:25:51,444 - pyskl - INFO - Epoch [33][3100/3746] lr: 8.864e-02, eta: 3 days, 4:44:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5130, loss_cls: 6.9528, loss: 6.9528 2023-12-30 08:26:51,004 - pyskl - INFO - Epoch [33][3200/3746] lr: 8.862e-02, eta: 3 days, 4:43:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5172, loss_cls: 6.9422, loss: 6.9422 2023-12-30 08:27:50,565 - pyskl - INFO - Epoch [33][3300/3746] lr: 8.861e-02, eta: 3 days, 4:41:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5205, loss_cls: 6.9424, loss: 6.9424 2023-12-30 08:28:50,068 - pyskl - INFO - Epoch [33][3400/3746] lr: 8.859e-02, eta: 3 days, 4:40:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5355, loss_cls: 6.8734, loss: 6.8734 2023-12-30 08:29:49,725 - pyskl - INFO - Epoch [33][3500/3746] lr: 8.857e-02, eta: 3 days, 4:39:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5084, loss_cls: 6.9456, loss: 6.9456 2023-12-30 08:30:49,452 - pyskl - INFO - Epoch [33][3600/3746] lr: 8.855e-02, eta: 3 days, 4:38:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5139, loss_cls: 6.9472, loss: 6.9472 2023-12-30 08:31:49,005 - pyskl - INFO - Epoch [33][3700/3746] lr: 8.853e-02, eta: 3 days, 4:36:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5086, loss_cls: 6.9699, loss: 6.9699 2023-12-30 08:32:19,090 - pyskl - INFO - Saving checkpoint at 33 epochs 2023-12-30 08:34:19,518 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 08:34:20,565 - pyskl - INFO - top1_acc 0.2128 top5_acc 0.4385 2023-12-30 08:34:20,565 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 08:34:20,603 - pyskl - INFO - mean_acc 0.2127 2023-12-30 08:34:20,609 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_28.pth was removed 2023-12-30 08:34:20,903 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_33.pth. 2023-12-30 08:34:20,903 - pyskl - INFO - Best top1_acc is 0.2128 at 33 epoch. 2023-12-30 08:34:20,914 - pyskl - INFO - Epoch(val) [33][309] top1_acc: 0.2128, top5_acc: 0.4385, mean_class_accuracy: 0.2127 2023-12-30 08:37:42,806 - pyskl - INFO - Epoch [34][100/3746] lr: 8.851e-02, eta: 3 days, 4:41:49, time: 2.019, data_time: 1.418, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5352, loss_cls: 6.8652, loss: 6.8652 2023-12-30 08:38:42,761 - pyskl - INFO - Epoch [34][200/3746] lr: 8.849e-02, eta: 3 days, 4:40:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5281, loss_cls: 6.8421, loss: 6.8421 2023-12-30 08:39:42,965 - pyskl - INFO - Epoch [34][300/3746] lr: 8.847e-02, eta: 3 days, 4:39:22, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5236, loss_cls: 6.9222, loss: 6.9222 2023-12-30 08:40:42,847 - pyskl - INFO - Epoch [34][400/3746] lr: 8.845e-02, eta: 3 days, 4:38:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2731, top5_acc: 0.5234, loss_cls: 6.9151, loss: 6.9151 2023-12-30 08:41:42,494 - pyskl - INFO - Epoch [34][500/3746] lr: 8.844e-02, eta: 3 days, 4:36:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5248, loss_cls: 6.9200, loss: 6.9200 2023-12-30 08:42:42,077 - pyskl - INFO - Epoch [34][600/3746] lr: 8.842e-02, eta: 3 days, 4:35:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5255, loss_cls: 6.8919, loss: 6.8919 2023-12-30 08:43:41,785 - pyskl - INFO - Epoch [34][700/3746] lr: 8.840e-02, eta: 3 days, 4:34:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5203, loss_cls: 6.9136, loss: 6.9136 2023-12-30 08:44:41,255 - pyskl - INFO - Epoch [34][800/3746] lr: 8.838e-02, eta: 3 days, 4:33:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5159, loss_cls: 6.9271, loss: 6.9271 2023-12-30 08:45:40,779 - pyskl - INFO - Epoch [34][900/3746] lr: 8.836e-02, eta: 3 days, 4:31:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5206, loss_cls: 6.9209, loss: 6.9209 2023-12-30 08:46:40,441 - pyskl - INFO - Epoch [34][1000/3746] lr: 8.835e-02, eta: 3 days, 4:30:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5281, loss_cls: 6.8998, loss: 6.8998 2023-12-30 08:47:40,526 - pyskl - INFO - Epoch [34][1100/3746] lr: 8.833e-02, eta: 3 days, 4:29:25, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5153, loss_cls: 6.9442, loss: 6.9442 2023-12-30 08:48:41,067 - pyskl - INFO - Epoch [34][1200/3746] lr: 8.831e-02, eta: 3 days, 4:28:14, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5225, loss_cls: 6.9125, loss: 6.9125 2023-12-30 08:49:40,479 - pyskl - INFO - Epoch [34][1300/3746] lr: 8.829e-02, eta: 3 days, 4:26:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5225, loss_cls: 6.9174, loss: 6.9174 2023-12-30 08:50:39,980 - pyskl - INFO - Epoch [34][1400/3746] lr: 8.828e-02, eta: 3 days, 4:25:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5236, loss_cls: 6.8841, loss: 6.8841 2023-12-30 08:51:39,541 - pyskl - INFO - Epoch [34][1500/3746] lr: 8.826e-02, eta: 3 days, 4:24:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5153, loss_cls: 6.9560, loss: 6.9560 2023-12-30 08:52:39,001 - pyskl - INFO - Epoch [34][1600/3746] lr: 8.824e-02, eta: 3 days, 4:23:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5266, loss_cls: 6.8973, loss: 6.8973 2023-12-30 08:53:38,740 - pyskl - INFO - Epoch [34][1700/3746] lr: 8.822e-02, eta: 3 days, 4:21:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5173, loss_cls: 6.8910, loss: 6.8910 2023-12-30 08:54:38,877 - pyskl - INFO - Epoch [34][1800/3746] lr: 8.820e-02, eta: 3 days, 4:20:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5298, loss_cls: 6.8884, loss: 6.8884 2023-12-30 08:55:38,675 - pyskl - INFO - Epoch [34][1900/3746] lr: 8.819e-02, eta: 3 days, 4:19:32, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5191, loss_cls: 6.9503, loss: 6.9503 2023-12-30 08:56:38,248 - pyskl - INFO - Epoch [34][2000/3746] lr: 8.817e-02, eta: 3 days, 4:18:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5267, loss_cls: 6.8999, loss: 6.8999 2023-12-30 08:57:38,120 - pyskl - INFO - Epoch [34][2100/3746] lr: 8.815e-02, eta: 3 days, 4:17:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5277, loss_cls: 6.8854, loss: 6.8854 2023-12-30 08:58:37,965 - pyskl - INFO - Epoch [34][2200/3746] lr: 8.813e-02, eta: 3 days, 4:15:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5195, loss_cls: 6.9311, loss: 6.9311 2023-12-30 08:59:37,765 - pyskl - INFO - Epoch [34][2300/3746] lr: 8.811e-02, eta: 3 days, 4:14:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5205, loss_cls: 6.9222, loss: 6.9222 2023-12-30 09:00:37,409 - pyskl - INFO - Epoch [34][2400/3746] lr: 8.809e-02, eta: 3 days, 4:13:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5244, loss_cls: 6.9015, loss: 6.9015 2023-12-30 09:01:37,513 - pyskl - INFO - Epoch [34][2500/3746] lr: 8.808e-02, eta: 3 days, 4:12:08, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.5139, loss_cls: 6.9740, loss: 6.9740 2023-12-30 09:02:36,793 - pyskl - INFO - Epoch [34][2600/3746] lr: 8.806e-02, eta: 3 days, 4:10:53, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5123, loss_cls: 6.9602, loss: 6.9602 2023-12-30 09:03:37,501 - pyskl - INFO - Epoch [34][2700/3746] lr: 8.804e-02, eta: 3 days, 4:09:42, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5155, loss_cls: 6.9572, loss: 6.9572 2023-12-30 09:04:37,794 - pyskl - INFO - Epoch [34][2800/3746] lr: 8.802e-02, eta: 3 days, 4:08:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5144, loss_cls: 6.9555, loss: 6.9555 2023-12-30 09:05:37,583 - pyskl - INFO - Epoch [34][2900/3746] lr: 8.800e-02, eta: 3 days, 4:07:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5148, loss_cls: 6.9272, loss: 6.9272 2023-12-30 09:06:37,201 - pyskl - INFO - Epoch [34][3000/3746] lr: 8.799e-02, eta: 3 days, 4:06:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5220, loss_cls: 6.9092, loss: 6.9092 2023-12-30 09:07:36,676 - pyskl - INFO - Epoch [34][3100/3746] lr: 8.797e-02, eta: 3 days, 4:04:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5088, loss_cls: 6.9565, loss: 6.9565 2023-12-30 09:08:36,188 - pyskl - INFO - Epoch [34][3200/3746] lr: 8.795e-02, eta: 3 days, 4:03:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5170, loss_cls: 6.9526, loss: 6.9526 2023-12-30 09:09:35,759 - pyskl - INFO - Epoch [34][3300/3746] lr: 8.793e-02, eta: 3 days, 4:02:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5061, loss_cls: 6.9641, loss: 6.9641 2023-12-30 09:10:35,375 - pyskl - INFO - Epoch [34][3400/3746] lr: 8.791e-02, eta: 3 days, 4:01:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5247, loss_cls: 6.9333, loss: 6.9333 2023-12-30 09:11:36,119 - pyskl - INFO - Epoch [34][3500/3746] lr: 8.789e-02, eta: 3 days, 3:59:53, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5203, loss_cls: 6.9193, loss: 6.9193 2023-12-30 09:12:36,728 - pyskl - INFO - Epoch [34][3600/3746] lr: 8.788e-02, eta: 3 days, 3:58:42, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5102, loss_cls: 6.9657, loss: 6.9657 2023-12-30 09:13:36,765 - pyskl - INFO - Epoch [34][3700/3746] lr: 8.786e-02, eta: 3 days, 3:57:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5123, loss_cls: 6.9702, loss: 6.9702 2023-12-30 09:14:06,652 - pyskl - INFO - Saving checkpoint at 34 epochs 2023-12-30 09:16:09,278 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 09:16:10,334 - pyskl - INFO - top1_acc 0.2022 top5_acc 0.4235 2023-12-30 09:16:10,335 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 09:16:10,374 - pyskl - INFO - mean_acc 0.2021 2023-12-30 09:16:10,386 - pyskl - INFO - Epoch(val) [34][309] top1_acc: 0.2022, top5_acc: 0.4235, mean_class_accuracy: 0.2021 2023-12-30 09:19:34,005 - pyskl - INFO - Epoch [35][100/3746] lr: 8.783e-02, eta: 3 days, 4:02:19, time: 2.036, data_time: 1.441, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5323, loss_cls: 6.8621, loss: 6.8621 2023-12-30 09:20:33,689 - pyskl - INFO - Epoch [35][200/3746] lr: 8.781e-02, eta: 3 days, 4:01:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5336, loss_cls: 6.8491, loss: 6.8491 2023-12-30 09:21:33,578 - pyskl - INFO - Epoch [35][300/3746] lr: 8.780e-02, eta: 3 days, 3:59:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5230, loss_cls: 6.8986, loss: 6.8986 2023-12-30 09:22:33,725 - pyskl - INFO - Epoch [35][400/3746] lr: 8.778e-02, eta: 3 days, 3:58:38, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5258, loss_cls: 6.8728, loss: 6.8728 2023-12-30 09:23:33,882 - pyskl - INFO - Epoch [35][500/3746] lr: 8.776e-02, eta: 3 days, 3:57:25, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5236, loss_cls: 6.9128, loss: 6.9128 2023-12-30 09:24:33,382 - pyskl - INFO - Epoch [35][600/3746] lr: 8.774e-02, eta: 3 days, 3:56:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5188, loss_cls: 6.9024, loss: 6.9024 2023-12-30 09:25:32,961 - pyskl - INFO - Epoch [35][700/3746] lr: 8.772e-02, eta: 3 days, 3:54:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5108, loss_cls: 6.9468, loss: 6.9468 2023-12-30 09:26:32,434 - pyskl - INFO - Epoch [35][800/3746] lr: 8.770e-02, eta: 3 days, 3:53:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5248, loss_cls: 6.8640, loss: 6.8640 2023-12-30 09:27:32,216 - pyskl - INFO - Epoch [35][900/3746] lr: 8.769e-02, eta: 3 days, 3:52:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5286, loss_cls: 6.8671, loss: 6.8671 2023-12-30 09:28:31,923 - pyskl - INFO - Epoch [35][1000/3746] lr: 8.767e-02, eta: 3 days, 3:51:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5205, loss_cls: 6.9281, loss: 6.9281 2023-12-30 09:29:31,255 - pyskl - INFO - Epoch [35][1100/3746] lr: 8.765e-02, eta: 3 days, 3:49:58, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5283, loss_cls: 6.8801, loss: 6.8801 2023-12-30 09:30:31,683 - pyskl - INFO - Epoch [35][1200/3746] lr: 8.763e-02, eta: 3 days, 3:48:46, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5091, loss_cls: 6.9483, loss: 6.9483 2023-12-30 09:31:31,422 - pyskl - INFO - Epoch [35][1300/3746] lr: 8.761e-02, eta: 3 days, 3:47:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5214, loss_cls: 6.9268, loss: 6.9268 2023-12-30 09:32:31,741 - pyskl - INFO - Epoch [35][1400/3746] lr: 8.759e-02, eta: 3 days, 3:46:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5220, loss_cls: 6.8830, loss: 6.8830 2023-12-30 09:33:31,533 - pyskl - INFO - Epoch [35][1500/3746] lr: 8.757e-02, eta: 3 days, 3:45:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5180, loss_cls: 6.9475, loss: 6.9475 2023-12-30 09:34:31,065 - pyskl - INFO - Epoch [35][1600/3746] lr: 8.756e-02, eta: 3 days, 3:43:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5167, loss_cls: 6.9613, loss: 6.9613 2023-12-30 09:35:30,305 - pyskl - INFO - Epoch [35][1700/3746] lr: 8.754e-02, eta: 3 days, 3:42:36, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5275, loss_cls: 6.8972, loss: 6.8972 2023-12-30 09:36:29,886 - pyskl - INFO - Epoch [35][1800/3746] lr: 8.752e-02, eta: 3 days, 3:41:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5198, loss_cls: 6.9301, loss: 6.9301 2023-12-30 09:37:29,357 - pyskl - INFO - Epoch [35][1900/3746] lr: 8.750e-02, eta: 3 days, 3:40:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5194, loss_cls: 6.9473, loss: 6.9473 2023-12-30 09:38:28,624 - pyskl - INFO - Epoch [35][2000/3746] lr: 8.748e-02, eta: 3 days, 3:38:52, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5227, loss_cls: 6.8947, loss: 6.8947 2023-12-30 09:39:28,066 - pyskl - INFO - Epoch [35][2100/3746] lr: 8.746e-02, eta: 3 days, 3:37:37, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5273, loss_cls: 6.9008, loss: 6.9008 2023-12-30 09:40:27,302 - pyskl - INFO - Epoch [35][2200/3746] lr: 8.745e-02, eta: 3 days, 3:36:22, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5219, loss_cls: 6.9041, loss: 6.9041 2023-12-30 09:41:26,459 - pyskl - INFO - Epoch [35][2300/3746] lr: 8.743e-02, eta: 3 days, 3:35:06, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5219, loss_cls: 6.9316, loss: 6.9316 2023-12-30 09:42:25,848 - pyskl - INFO - Epoch [35][2400/3746] lr: 8.741e-02, eta: 3 days, 3:33:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5067, loss_cls: 6.9762, loss: 6.9762 2023-12-30 09:43:25,213 - pyskl - INFO - Epoch [35][2500/3746] lr: 8.739e-02, eta: 3 days, 3:32:37, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5289, loss_cls: 6.8850, loss: 6.8850 2023-12-30 09:44:24,630 - pyskl - INFO - Epoch [35][2600/3746] lr: 8.737e-02, eta: 3 days, 3:31:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5192, loss_cls: 6.9318, loss: 6.9318 2023-12-30 09:45:24,189 - pyskl - INFO - Epoch [35][2700/3746] lr: 8.735e-02, eta: 3 days, 3:30:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5166, loss_cls: 6.9494, loss: 6.9494 2023-12-30 09:46:23,692 - pyskl - INFO - Epoch [35][2800/3746] lr: 8.733e-02, eta: 3 days, 3:28:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5225, loss_cls: 6.9177, loss: 6.9177 2023-12-30 09:47:24,175 - pyskl - INFO - Epoch [35][2900/3746] lr: 8.732e-02, eta: 3 days, 3:27:42, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5278, loss_cls: 6.8728, loss: 6.8728 2023-12-30 09:48:23,970 - pyskl - INFO - Epoch [35][3000/3746] lr: 8.730e-02, eta: 3 days, 3:26:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2766, top5_acc: 0.5278, loss_cls: 6.9071, loss: 6.9071 2023-12-30 09:49:23,646 - pyskl - INFO - Epoch [35][3100/3746] lr: 8.728e-02, eta: 3 days, 3:25:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5180, loss_cls: 6.9217, loss: 6.9217 2023-12-30 09:50:23,125 - pyskl - INFO - Epoch [35][3200/3746] lr: 8.726e-02, eta: 3 days, 3:24:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5364, loss_cls: 6.8865, loss: 6.8865 2023-12-30 09:51:22,582 - pyskl - INFO - Epoch [35][3300/3746] lr: 8.724e-02, eta: 3 days, 3:22:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5184, loss_cls: 6.9486, loss: 6.9486 2023-12-30 09:52:22,963 - pyskl - INFO - Epoch [35][3400/3746] lr: 8.722e-02, eta: 3 days, 3:21:35, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5202, loss_cls: 6.9128, loss: 6.9128 2023-12-30 09:53:22,331 - pyskl - INFO - Epoch [35][3500/3746] lr: 8.720e-02, eta: 3 days, 3:20:21, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5255, loss_cls: 6.9074, loss: 6.9074 2023-12-30 09:54:21,850 - pyskl - INFO - Epoch [35][3600/3746] lr: 8.718e-02, eta: 3 days, 3:19:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5241, loss_cls: 6.8878, loss: 6.8878 2023-12-30 09:55:21,578 - pyskl - INFO - Epoch [35][3700/3746] lr: 8.717e-02, eta: 3 days, 3:17:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5239, loss_cls: 6.9031, loss: 6.9031 2023-12-30 09:55:51,816 - pyskl - INFO - Saving checkpoint at 35 epochs 2023-12-30 09:57:52,907 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 09:57:54,058 - pyskl - INFO - top1_acc 0.2055 top5_acc 0.4188 2023-12-30 09:57:54,058 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 09:57:54,112 - pyskl - INFO - mean_acc 0.2054 2023-12-30 09:57:54,121 - pyskl - INFO - Epoch(val) [35][309] top1_acc: 0.2055, top5_acc: 0.4188, mean_class_accuracy: 0.2054 2023-12-30 10:01:13,894 - pyskl - INFO - Epoch [36][100/3746] lr: 8.714e-02, eta: 3 days, 3:22:15, time: 1.998, data_time: 1.393, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5252, loss_cls: 6.8894, loss: 6.8894 2023-12-30 10:02:13,637 - pyskl - INFO - Epoch [36][200/3746] lr: 8.712e-02, eta: 3 days, 3:21:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2855, top5_acc: 0.5353, loss_cls: 6.8329, loss: 6.8329 2023-12-30 10:03:13,975 - pyskl - INFO - Epoch [36][300/3746] lr: 8.710e-02, eta: 3 days, 3:19:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2766, top5_acc: 0.5256, loss_cls: 6.8966, loss: 6.8966 2023-12-30 10:04:14,326 - pyskl - INFO - Epoch [36][400/3746] lr: 8.708e-02, eta: 3 days, 3:18:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5250, loss_cls: 6.9069, loss: 6.9069 2023-12-30 10:05:13,951 - pyskl - INFO - Epoch [36][500/3746] lr: 8.706e-02, eta: 3 days, 3:17:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5289, loss_cls: 6.8682, loss: 6.8682 2023-12-30 10:06:13,604 - pyskl - INFO - Epoch [36][600/3746] lr: 8.704e-02, eta: 3 days, 3:16:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5170, loss_cls: 6.9647, loss: 6.9647 2023-12-30 10:07:12,923 - pyskl - INFO - Epoch [36][700/3746] lr: 8.703e-02, eta: 3 days, 3:14:55, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5141, loss_cls: 6.9446, loss: 6.9446 2023-12-30 10:08:12,444 - pyskl - INFO - Epoch [36][800/3746] lr: 8.701e-02, eta: 3 days, 3:13:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5281, loss_cls: 6.9011, loss: 6.9011 2023-12-30 10:09:12,134 - pyskl - INFO - Epoch [36][900/3746] lr: 8.699e-02, eta: 3 days, 3:12:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5208, loss_cls: 6.9333, loss: 6.9333 2023-12-30 10:10:11,840 - pyskl - INFO - Epoch [36][1000/3746] lr: 8.697e-02, eta: 3 days, 3:11:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5073, loss_cls: 6.9673, loss: 6.9673 2023-12-30 10:11:12,276 - pyskl - INFO - Epoch [36][1100/3746] lr: 8.695e-02, eta: 3 days, 3:10:03, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5223, loss_cls: 6.9086, loss: 6.9086 2023-12-30 10:12:12,622 - pyskl - INFO - Epoch [36][1200/3746] lr: 8.693e-02, eta: 3 days, 3:08:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5250, loss_cls: 6.9034, loss: 6.9034 2023-12-30 10:13:13,207 - pyskl - INFO - Epoch [36][1300/3746] lr: 8.691e-02, eta: 3 days, 3:07:40, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5311, loss_cls: 6.8943, loss: 6.8943 2023-12-30 10:14:12,869 - pyskl - INFO - Epoch [36][1400/3746] lr: 8.689e-02, eta: 3 days, 3:06:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5208, loss_cls: 6.9209, loss: 6.9209 2023-12-30 10:15:12,880 - pyskl - INFO - Epoch [36][1500/3746] lr: 8.688e-02, eta: 3 days, 3:05:14, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5214, loss_cls: 6.9054, loss: 6.9054 2023-12-30 10:16:12,845 - pyskl - INFO - Epoch [36][1600/3746] lr: 8.686e-02, eta: 3 days, 3:04:01, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5217, loss_cls: 6.9220, loss: 6.9220 2023-12-30 10:17:12,308 - pyskl - INFO - Epoch [36][1700/3746] lr: 8.684e-02, eta: 3 days, 3:02:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5278, loss_cls: 6.8864, loss: 6.8864 2023-12-30 10:18:12,017 - pyskl - INFO - Epoch [36][1800/3746] lr: 8.682e-02, eta: 3 days, 3:01:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5341, loss_cls: 6.8812, loss: 6.8812 2023-12-30 10:19:11,658 - pyskl - INFO - Epoch [36][1900/3746] lr: 8.680e-02, eta: 3 days, 3:00:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5219, loss_cls: 6.9359, loss: 6.9359 2023-12-30 10:20:11,173 - pyskl - INFO - Epoch [36][2000/3746] lr: 8.678e-02, eta: 3 days, 2:59:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5155, loss_cls: 6.9214, loss: 6.9214 2023-12-30 10:21:10,604 - pyskl - INFO - Epoch [36][2100/3746] lr: 8.676e-02, eta: 3 days, 2:57:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5167, loss_cls: 6.9480, loss: 6.9480 2023-12-30 10:22:10,296 - pyskl - INFO - Epoch [36][2200/3746] lr: 8.674e-02, eta: 3 days, 2:56:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5297, loss_cls: 6.8676, loss: 6.8676 2023-12-30 10:23:09,787 - pyskl - INFO - Epoch [36][2300/3746] lr: 8.672e-02, eta: 3 days, 2:55:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5262, loss_cls: 6.8986, loss: 6.8986 2023-12-30 10:24:09,651 - pyskl - INFO - Epoch [36][2400/3746] lr: 8.671e-02, eta: 3 days, 2:54:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5236, loss_cls: 6.9203, loss: 6.9203 2023-12-30 10:25:10,053 - pyskl - INFO - Epoch [36][2500/3746] lr: 8.669e-02, eta: 3 days, 2:53:00, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5184, loss_cls: 6.9372, loss: 6.9372 2023-12-30 10:26:10,558 - pyskl - INFO - Epoch [36][2600/3746] lr: 8.667e-02, eta: 3 days, 2:51:49, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5194, loss_cls: 6.8894, loss: 6.8894 2023-12-30 10:27:10,397 - pyskl - INFO - Epoch [36][2700/3746] lr: 8.665e-02, eta: 3 days, 2:50:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5359, loss_cls: 6.8301, loss: 6.8301 2023-12-30 10:28:10,842 - pyskl - INFO - Epoch [36][2800/3746] lr: 8.663e-02, eta: 3 days, 2:49:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5291, loss_cls: 6.8753, loss: 6.8753 2023-12-30 10:29:10,353 - pyskl - INFO - Epoch [36][2900/3746] lr: 8.661e-02, eta: 3 days, 2:48:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5138, loss_cls: 6.9574, loss: 6.9574 2023-12-30 10:30:10,097 - pyskl - INFO - Epoch [36][3000/3746] lr: 8.659e-02, eta: 3 days, 2:46:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5289, loss_cls: 6.8689, loss: 6.8689 2023-12-30 10:31:09,994 - pyskl - INFO - Epoch [36][3100/3746] lr: 8.657e-02, eta: 3 days, 2:45:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5280, loss_cls: 6.8908, loss: 6.8908 2023-12-30 10:32:10,005 - pyskl - INFO - Epoch [36][3200/3746] lr: 8.655e-02, eta: 3 days, 2:44:34, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5175, loss_cls: 6.9229, loss: 6.9229 2023-12-30 10:33:09,385 - pyskl - INFO - Epoch [36][3300/3746] lr: 8.653e-02, eta: 3 days, 2:43:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5316, loss_cls: 6.8773, loss: 6.8773 2023-12-30 10:34:08,795 - pyskl - INFO - Epoch [36][3400/3746] lr: 8.651e-02, eta: 3 days, 2:42:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5170, loss_cls: 6.9531, loss: 6.9531 2023-12-30 10:35:08,350 - pyskl - INFO - Epoch [36][3500/3746] lr: 8.650e-02, eta: 3 days, 2:40:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5238, loss_cls: 6.9242, loss: 6.9242 2023-12-30 10:36:07,551 - pyskl - INFO - Epoch [36][3600/3746] lr: 8.648e-02, eta: 3 days, 2:39:37, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5208, loss_cls: 6.9175, loss: 6.9175 2023-12-30 10:37:06,890 - pyskl - INFO - Epoch [36][3700/3746] lr: 8.646e-02, eta: 3 days, 2:38:23, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5303, loss_cls: 6.8545, loss: 6.8545 2023-12-30 10:37:36,748 - pyskl - INFO - Saving checkpoint at 36 epochs 2023-12-30 10:39:35,828 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 10:39:36,792 - pyskl - INFO - top1_acc 0.1932 top5_acc 0.4208 2023-12-30 10:39:36,792 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 10:39:36,845 - pyskl - INFO - mean_acc 0.1929 2023-12-30 10:39:36,859 - pyskl - INFO - Epoch(val) [36][309] top1_acc: 0.1932, top5_acc: 0.4208, mean_class_accuracy: 0.1929 2023-12-30 10:42:57,985 - pyskl - INFO - Epoch [37][100/3746] lr: 8.643e-02, eta: 3 days, 2:42:37, time: 2.011, data_time: 1.413, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5305, loss_cls: 6.8426, loss: 6.8426 2023-12-30 10:43:57,372 - pyskl - INFO - Epoch [37][200/3746] lr: 8.641e-02, eta: 3 days, 2:41:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2794, top5_acc: 0.5423, loss_cls: 6.8216, loss: 6.8216 2023-12-30 10:44:57,162 - pyskl - INFO - Epoch [37][300/3746] lr: 8.639e-02, eta: 3 days, 2:40:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5159, loss_cls: 6.9220, loss: 6.9220 2023-12-30 10:45:57,072 - pyskl - INFO - Epoch [37][400/3746] lr: 8.637e-02, eta: 3 days, 2:38:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5336, loss_cls: 6.8417, loss: 6.8417 2023-12-30 10:46:56,944 - pyskl - INFO - Epoch [37][500/3746] lr: 8.635e-02, eta: 3 days, 2:37:44, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5233, loss_cls: 6.9279, loss: 6.9279 2023-12-30 10:47:56,541 - pyskl - INFO - Epoch [37][600/3746] lr: 8.633e-02, eta: 3 days, 2:36:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2866, top5_acc: 0.5291, loss_cls: 6.8707, loss: 6.8707 2023-12-30 10:48:56,033 - pyskl - INFO - Epoch [37][700/3746] lr: 8.631e-02, eta: 3 days, 2:35:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5242, loss_cls: 6.9344, loss: 6.9344 2023-12-30 10:49:55,897 - pyskl - INFO - Epoch [37][800/3746] lr: 8.630e-02, eta: 3 days, 2:34:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5233, loss_cls: 6.8914, loss: 6.8914 2023-12-30 10:50:55,309 - pyskl - INFO - Epoch [37][900/3746] lr: 8.628e-02, eta: 3 days, 2:32:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5194, loss_cls: 6.9263, loss: 6.9263 2023-12-30 10:51:54,711 - pyskl - INFO - Epoch [37][1000/3746] lr: 8.626e-02, eta: 3 days, 2:31:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2766, top5_acc: 0.5264, loss_cls: 6.8845, loss: 6.8845 2023-12-30 10:52:54,194 - pyskl - INFO - Epoch [37][1100/3746] lr: 8.624e-02, eta: 3 days, 2:30:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5319, loss_cls: 6.8330, loss: 6.8330 2023-12-30 10:53:53,939 - pyskl - INFO - Epoch [37][1200/3746] lr: 8.622e-02, eta: 3 days, 2:29:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5273, loss_cls: 6.8854, loss: 6.8854 2023-12-30 10:54:54,360 - pyskl - INFO - Epoch [37][1300/3746] lr: 8.620e-02, eta: 3 days, 2:27:57, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5312, loss_cls: 6.8827, loss: 6.8827 2023-12-30 10:55:55,007 - pyskl - INFO - Epoch [37][1400/3746] lr: 8.618e-02, eta: 3 days, 2:26:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5275, loss_cls: 6.8794, loss: 6.8794 2023-12-30 10:56:54,441 - pyskl - INFO - Epoch [37][1500/3746] lr: 8.616e-02, eta: 3 days, 2:25:33, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5261, loss_cls: 6.9068, loss: 6.9068 2023-12-30 10:57:53,748 - pyskl - INFO - Epoch [37][1600/3746] lr: 8.614e-02, eta: 3 days, 2:24:18, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5319, loss_cls: 6.8823, loss: 6.8823 2023-12-30 10:58:53,483 - pyskl - INFO - Epoch [37][1700/3746] lr: 8.612e-02, eta: 3 days, 2:23:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5298, loss_cls: 6.8651, loss: 6.8651 2023-12-30 10:59:52,761 - pyskl - INFO - Epoch [37][1800/3746] lr: 8.610e-02, eta: 3 days, 2:21:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5177, loss_cls: 6.9181, loss: 6.9181 2023-12-30 11:00:52,077 - pyskl - INFO - Epoch [37][1900/3746] lr: 8.608e-02, eta: 3 days, 2:20:37, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5317, loss_cls: 6.8531, loss: 6.8531 2023-12-30 11:01:51,526 - pyskl - INFO - Epoch [37][2000/3746] lr: 8.606e-02, eta: 3 days, 2:19:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5192, loss_cls: 6.9184, loss: 6.9184 2023-12-30 11:02:50,964 - pyskl - INFO - Epoch [37][2100/3746] lr: 8.604e-02, eta: 3 days, 2:18:09, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5317, loss_cls: 6.8806, loss: 6.8806 2023-12-30 11:03:50,430 - pyskl - INFO - Epoch [37][2200/3746] lr: 8.602e-02, eta: 3 days, 2:16:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5188, loss_cls: 6.9299, loss: 6.9299 2023-12-30 11:04:50,336 - pyskl - INFO - Epoch [37][2300/3746] lr: 8.601e-02, eta: 3 days, 2:15:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2731, top5_acc: 0.5231, loss_cls: 6.9192, loss: 6.9192 2023-12-30 11:05:49,905 - pyskl - INFO - Epoch [37][2400/3746] lr: 8.599e-02, eta: 3 days, 2:14:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5236, loss_cls: 6.9258, loss: 6.9258 2023-12-30 11:06:49,831 - pyskl - INFO - Epoch [37][2500/3746] lr: 8.597e-02, eta: 3 days, 2:13:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5181, loss_cls: 6.8951, loss: 6.8951 2023-12-30 11:07:49,401 - pyskl - INFO - Epoch [37][2600/3746] lr: 8.595e-02, eta: 3 days, 2:12:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5145, loss_cls: 6.9459, loss: 6.9459 2023-12-30 11:08:49,017 - pyskl - INFO - Epoch [37][2700/3746] lr: 8.593e-02, eta: 3 days, 2:10:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5189, loss_cls: 6.9463, loss: 6.9463 2023-12-30 11:09:48,988 - pyskl - INFO - Epoch [37][2800/3746] lr: 8.591e-02, eta: 3 days, 2:09:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5216, loss_cls: 6.8795, loss: 6.8795 2023-12-30 11:10:48,641 - pyskl - INFO - Epoch [37][2900/3746] lr: 8.589e-02, eta: 3 days, 2:08:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5259, loss_cls: 6.9029, loss: 6.9029 2023-12-30 11:11:48,120 - pyskl - INFO - Epoch [37][3000/3746] lr: 8.587e-02, eta: 3 days, 2:07:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5205, loss_cls: 6.9300, loss: 6.9300 2023-12-30 11:12:47,720 - pyskl - INFO - Epoch [37][3100/3746] lr: 8.585e-02, eta: 3 days, 2:05:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5261, loss_cls: 6.8764, loss: 6.8764 2023-12-30 11:13:47,803 - pyskl - INFO - Epoch [37][3200/3746] lr: 8.583e-02, eta: 3 days, 2:04:47, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5145, loss_cls: 6.9553, loss: 6.9553 2023-12-30 11:14:47,987 - pyskl - INFO - Epoch [37][3300/3746] lr: 8.581e-02, eta: 3 days, 2:03:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5122, loss_cls: 6.9561, loss: 6.9561 2023-12-30 11:15:47,425 - pyskl - INFO - Epoch [37][3400/3746] lr: 8.579e-02, eta: 3 days, 2:02:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5106, loss_cls: 6.9416, loss: 6.9416 2023-12-30 11:16:46,824 - pyskl - INFO - Epoch [37][3500/3746] lr: 8.577e-02, eta: 3 days, 2:01:09, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5231, loss_cls: 6.9044, loss: 6.9044 2023-12-30 11:17:46,408 - pyskl - INFO - Epoch [37][3600/3746] lr: 8.575e-02, eta: 3 days, 1:59:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5192, loss_cls: 6.9280, loss: 6.9280 2023-12-30 11:18:46,233 - pyskl - INFO - Epoch [37][3700/3746] lr: 8.573e-02, eta: 3 days, 1:58:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5281, loss_cls: 6.9031, loss: 6.9031 2023-12-30 11:19:15,926 - pyskl - INFO - Saving checkpoint at 37 epochs 2023-12-30 11:21:19,058 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 11:21:20,044 - pyskl - INFO - top1_acc 0.2063 top5_acc 0.4397 2023-12-30 11:21:20,044 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 11:21:20,087 - pyskl - INFO - mean_acc 0.2060 2023-12-30 11:21:20,098 - pyskl - INFO - Epoch(val) [37][309] top1_acc: 0.2063, top5_acc: 0.4397, mean_class_accuracy: 0.2060 2023-12-30 11:24:43,815 - pyskl - INFO - Epoch [38][100/3746] lr: 8.570e-02, eta: 3 days, 2:02:53, time: 2.037, data_time: 1.434, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5325, loss_cls: 6.8543, loss: 6.8543 2023-12-30 11:25:43,802 - pyskl - INFO - Epoch [38][200/3746] lr: 8.568e-02, eta: 3 days, 2:01:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5303, loss_cls: 6.8751, loss: 6.8751 2023-12-30 11:26:44,038 - pyskl - INFO - Epoch [38][300/3746] lr: 8.567e-02, eta: 3 days, 2:00:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5352, loss_cls: 6.8505, loss: 6.8505 2023-12-30 11:27:44,442 - pyskl - INFO - Epoch [38][400/3746] lr: 8.565e-02, eta: 3 days, 1:59:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5341, loss_cls: 6.8696, loss: 6.8696 2023-12-30 11:28:44,568 - pyskl - INFO - Epoch [38][500/3746] lr: 8.563e-02, eta: 3 days, 1:58:07, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5281, loss_cls: 6.8815, loss: 6.8815 2023-12-30 11:29:44,678 - pyskl - INFO - Epoch [38][600/3746] lr: 8.561e-02, eta: 3 days, 1:56:55, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5192, loss_cls: 6.9151, loss: 6.9151 2023-12-30 11:30:44,702 - pyskl - INFO - Epoch [38][700/3746] lr: 8.559e-02, eta: 3 days, 1:55:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5184, loss_cls: 6.8967, loss: 6.8967 2023-12-30 11:31:43,934 - pyskl - INFO - Epoch [38][800/3746] lr: 8.557e-02, eta: 3 days, 1:54:29, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5150, loss_cls: 6.9205, loss: 6.9205 2023-12-30 11:32:43,265 - pyskl - INFO - Epoch [38][900/3746] lr: 8.555e-02, eta: 3 days, 1:53:15, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5223, loss_cls: 6.9094, loss: 6.9094 2023-12-30 11:33:42,737 - pyskl - INFO - Epoch [38][1000/3746] lr: 8.553e-02, eta: 3 days, 1:52:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5272, loss_cls: 6.8945, loss: 6.8945 2023-12-30 11:34:42,228 - pyskl - INFO - Epoch [38][1100/3746] lr: 8.551e-02, eta: 3 days, 1:50:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5272, loss_cls: 6.8940, loss: 6.8940 2023-12-30 11:35:41,687 - pyskl - INFO - Epoch [38][1200/3746] lr: 8.549e-02, eta: 3 days, 1:49:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5294, loss_cls: 6.9033, loss: 6.9033 2023-12-30 11:36:42,250 - pyskl - INFO - Epoch [38][1300/3746] lr: 8.547e-02, eta: 3 days, 1:48:24, time: 0.606, data_time: 0.001, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5278, loss_cls: 6.8607, loss: 6.8607 2023-12-30 11:37:42,879 - pyskl - INFO - Epoch [38][1400/3746] lr: 8.545e-02, eta: 3 days, 1:47:14, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5234, loss_cls: 6.8904, loss: 6.8904 2023-12-30 11:38:42,159 - pyskl - INFO - Epoch [38][1500/3746] lr: 8.543e-02, eta: 3 days, 1:46:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5231, loss_cls: 6.8864, loss: 6.8864 2023-12-30 11:39:41,723 - pyskl - INFO - Epoch [38][1600/3746] lr: 8.541e-02, eta: 3 days, 1:44:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2731, top5_acc: 0.5202, loss_cls: 6.9076, loss: 6.9076 2023-12-30 11:40:41,369 - pyskl - INFO - Epoch [38][1700/3746] lr: 8.539e-02, eta: 3 days, 1:43:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5336, loss_cls: 6.8783, loss: 6.8783 2023-12-30 11:41:40,977 - pyskl - INFO - Epoch [38][1800/3746] lr: 8.537e-02, eta: 3 days, 1:42:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5241, loss_cls: 6.9127, loss: 6.9127 2023-12-30 11:42:40,364 - pyskl - INFO - Epoch [38][1900/3746] lr: 8.535e-02, eta: 3 days, 1:41:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5275, loss_cls: 6.8800, loss: 6.8800 2023-12-30 11:43:39,852 - pyskl - INFO - Epoch [38][2000/3746] lr: 8.533e-02, eta: 3 days, 1:39:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5261, loss_cls: 6.8774, loss: 6.8774 2023-12-30 11:44:39,584 - pyskl - INFO - Epoch [38][2100/3746] lr: 8.531e-02, eta: 3 days, 1:38:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5377, loss_cls: 6.8156, loss: 6.8156 2023-12-30 11:45:39,139 - pyskl - INFO - Epoch [38][2200/3746] lr: 8.529e-02, eta: 3 days, 1:37:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5214, loss_cls: 6.9315, loss: 6.9315 2023-12-30 11:46:38,611 - pyskl - INFO - Epoch [38][2300/3746] lr: 8.527e-02, eta: 3 days, 1:36:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5180, loss_cls: 6.9328, loss: 6.9328 2023-12-30 11:47:38,250 - pyskl - INFO - Epoch [38][2400/3746] lr: 8.525e-02, eta: 3 days, 1:35:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5248, loss_cls: 6.9082, loss: 6.9082 2023-12-30 11:48:37,637 - pyskl - INFO - Epoch [38][2500/3746] lr: 8.523e-02, eta: 3 days, 1:33:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5152, loss_cls: 6.9662, loss: 6.9662 2023-12-30 11:49:36,931 - pyskl - INFO - Epoch [38][2600/3746] lr: 8.521e-02, eta: 3 days, 1:32:35, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5156, loss_cls: 6.9488, loss: 6.9488 2023-12-30 11:50:36,666 - pyskl - INFO - Epoch [38][2700/3746] lr: 8.519e-02, eta: 3 days, 1:31:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5242, loss_cls: 6.9268, loss: 6.9268 2023-12-30 11:51:36,618 - pyskl - INFO - Epoch [38][2800/3746] lr: 8.517e-02, eta: 3 days, 1:30:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5239, loss_cls: 6.8808, loss: 6.8808 2023-12-30 11:52:36,680 - pyskl - INFO - Epoch [38][2900/3746] lr: 8.515e-02, eta: 3 days, 1:28:59, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5166, loss_cls: 6.9305, loss: 6.9305 2023-12-30 11:53:36,581 - pyskl - INFO - Epoch [38][3000/3746] lr: 8.513e-02, eta: 3 days, 1:27:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5159, loss_cls: 6.9203, loss: 6.9203 2023-12-30 11:54:36,085 - pyskl - INFO - Epoch [38][3100/3746] lr: 8.511e-02, eta: 3 days, 1:26:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5298, loss_cls: 6.8610, loss: 6.8610 2023-12-30 11:55:35,559 - pyskl - INFO - Epoch [38][3200/3746] lr: 8.509e-02, eta: 3 days, 1:25:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5223, loss_cls: 6.9050, loss: 6.9050 2023-12-30 11:56:35,006 - pyskl - INFO - Epoch [38][3300/3746] lr: 8.507e-02, eta: 3 days, 1:24:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5252, loss_cls: 6.9242, loss: 6.9242 2023-12-30 11:57:34,622 - pyskl - INFO - Epoch [38][3400/3746] lr: 8.505e-02, eta: 3 days, 1:22:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5267, loss_cls: 6.8832, loss: 6.8832 2023-12-30 11:58:34,529 - pyskl - INFO - Epoch [38][3500/3746] lr: 8.503e-02, eta: 3 days, 1:21:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5186, loss_cls: 6.9171, loss: 6.9171 2023-12-30 11:59:34,767 - pyskl - INFO - Epoch [38][3600/3746] lr: 8.501e-02, eta: 3 days, 1:20:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5144, loss_cls: 6.9354, loss: 6.9354 2023-12-30 12:00:34,821 - pyskl - INFO - Epoch [38][3700/3746] lr: 8.499e-02, eta: 3 days, 1:19:21, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5238, loss_cls: 6.9086, loss: 6.9086 2023-12-30 12:01:04,732 - pyskl - INFO - Saving checkpoint at 38 epochs 2023-12-30 12:03:03,212 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 12:03:04,261 - pyskl - INFO - top1_acc 0.2117 top5_acc 0.4404 2023-12-30 12:03:04,261 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 12:03:04,299 - pyskl - INFO - mean_acc 0.2115 2023-12-30 12:03:04,307 - pyskl - INFO - Epoch(val) [38][309] top1_acc: 0.2117, top5_acc: 0.4404, mean_class_accuracy: 0.2115 2023-12-30 12:06:29,468 - pyskl - INFO - Epoch [39][100/3746] lr: 8.496e-02, eta: 3 days, 1:23:23, time: 2.051, data_time: 1.451, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5273, loss_cls: 6.8641, loss: 6.8641 2023-12-30 12:07:29,340 - pyskl - INFO - Epoch [39][200/3746] lr: 8.494e-02, eta: 3 days, 1:22:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5094, loss_cls: 6.9320, loss: 6.9320 2023-12-30 12:08:29,446 - pyskl - INFO - Epoch [39][300/3746] lr: 8.492e-02, eta: 3 days, 1:20:59, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5233, loss_cls: 6.9191, loss: 6.9191 2023-12-30 12:09:29,188 - pyskl - INFO - Epoch [39][400/3746] lr: 8.490e-02, eta: 3 days, 1:19:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5272, loss_cls: 6.8665, loss: 6.8665 2023-12-30 12:10:29,186 - pyskl - INFO - Epoch [39][500/3746] lr: 8.488e-02, eta: 3 days, 1:18:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5227, loss_cls: 6.8859, loss: 6.8859 2023-12-30 12:11:28,892 - pyskl - INFO - Epoch [39][600/3746] lr: 8.486e-02, eta: 3 days, 1:17:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5314, loss_cls: 6.8364, loss: 6.8364 2023-12-30 12:12:28,899 - pyskl - INFO - Epoch [39][700/3746] lr: 8.484e-02, eta: 3 days, 1:16:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5295, loss_cls: 6.8957, loss: 6.8957 2023-12-30 12:13:28,813 - pyskl - INFO - Epoch [39][800/3746] lr: 8.482e-02, eta: 3 days, 1:14:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5197, loss_cls: 6.9026, loss: 6.9026 2023-12-30 12:14:28,198 - pyskl - INFO - Epoch [39][900/3746] lr: 8.480e-02, eta: 3 days, 1:13:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5294, loss_cls: 6.8785, loss: 6.8785 2023-12-30 12:15:28,065 - pyskl - INFO - Epoch [39][1000/3746] lr: 8.478e-02, eta: 3 days, 1:12:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2786, top5_acc: 0.5327, loss_cls: 6.8704, loss: 6.8704 2023-12-30 12:16:28,350 - pyskl - INFO - Epoch [39][1100/3746] lr: 8.476e-02, eta: 3 days, 1:11:22, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5256, loss_cls: 6.9037, loss: 6.9037 2023-12-30 12:17:28,059 - pyskl - INFO - Epoch [39][1200/3746] lr: 8.474e-02, eta: 3 days, 1:10:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5256, loss_cls: 6.8804, loss: 6.8804 2023-12-30 12:18:28,013 - pyskl - INFO - Epoch [39][1300/3746] lr: 8.472e-02, eta: 3 days, 1:08:58, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5164, loss_cls: 6.9299, loss: 6.9299 2023-12-30 12:19:28,648 - pyskl - INFO - Epoch [39][1400/3746] lr: 8.470e-02, eta: 3 days, 1:07:48, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5080, loss_cls: 6.9626, loss: 6.9626 2023-12-30 12:20:28,145 - pyskl - INFO - Epoch [39][1500/3746] lr: 8.468e-02, eta: 3 days, 1:06:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5270, loss_cls: 6.8433, loss: 6.8433 2023-12-30 12:21:27,466 - pyskl - INFO - Epoch [39][1600/3746] lr: 8.466e-02, eta: 3 days, 1:05:22, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5245, loss_cls: 6.8984, loss: 6.8984 2023-12-30 12:22:26,951 - pyskl - INFO - Epoch [39][1700/3746] lr: 8.464e-02, eta: 3 days, 1:04:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5316, loss_cls: 6.8551, loss: 6.8551 2023-12-30 12:23:26,415 - pyskl - INFO - Epoch [39][1800/3746] lr: 8.462e-02, eta: 3 days, 1:02:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5236, loss_cls: 6.8850, loss: 6.8850 2023-12-30 12:24:26,039 - pyskl - INFO - Epoch [39][1900/3746] lr: 8.460e-02, eta: 3 days, 1:01:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5244, loss_cls: 6.9030, loss: 6.9030 2023-12-30 12:25:25,722 - pyskl - INFO - Epoch [39][2000/3746] lr: 8.458e-02, eta: 3 days, 1:00:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5206, loss_cls: 6.9169, loss: 6.9169 2023-12-30 12:26:26,619 - pyskl - INFO - Epoch [39][2100/3746] lr: 8.456e-02, eta: 3 days, 0:59:22, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5194, loss_cls: 6.9340, loss: 6.9340 2023-12-30 12:27:26,446 - pyskl - INFO - Epoch [39][2200/3746] lr: 8.454e-02, eta: 3 days, 0:58:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5344, loss_cls: 6.8880, loss: 6.8880 2023-12-30 12:28:25,892 - pyskl - INFO - Epoch [39][2300/3746] lr: 8.452e-02, eta: 3 days, 0:56:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5103, loss_cls: 6.9646, loss: 6.9646 2023-12-30 12:29:25,296 - pyskl - INFO - Epoch [39][2400/3746] lr: 8.450e-02, eta: 3 days, 0:55:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5211, loss_cls: 6.9247, loss: 6.9247 2023-12-30 12:30:24,637 - pyskl - INFO - Epoch [39][2500/3746] lr: 8.448e-02, eta: 3 days, 0:54:31, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5217, loss_cls: 6.8866, loss: 6.8866 2023-12-30 12:31:24,108 - pyskl - INFO - Epoch [39][2600/3746] lr: 8.446e-02, eta: 3 days, 0:53:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5312, loss_cls: 6.8875, loss: 6.8875 2023-12-30 12:32:23,678 - pyskl - INFO - Epoch [39][2700/3746] lr: 8.444e-02, eta: 3 days, 0:52:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5222, loss_cls: 6.9113, loss: 6.9113 2023-12-30 12:33:23,254 - pyskl - INFO - Epoch [39][2800/3746] lr: 8.442e-02, eta: 3 days, 0:50:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2905, top5_acc: 0.5455, loss_cls: 6.8441, loss: 6.8441 2023-12-30 12:34:22,921 - pyskl - INFO - Epoch [39][2900/3746] lr: 8.440e-02, eta: 3 days, 0:49:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5281, loss_cls: 6.8814, loss: 6.8814 2023-12-30 12:35:22,248 - pyskl - INFO - Epoch [39][3000/3746] lr: 8.438e-02, eta: 3 days, 0:48:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5311, loss_cls: 6.8912, loss: 6.8912 2023-12-30 12:36:21,781 - pyskl - INFO - Epoch [39][3100/3746] lr: 8.436e-02, eta: 3 days, 0:47:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5248, loss_cls: 6.9040, loss: 6.9040 2023-12-30 12:37:21,452 - pyskl - INFO - Epoch [39][3200/3746] lr: 8.434e-02, eta: 3 days, 0:46:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5264, loss_cls: 6.9119, loss: 6.9119 2023-12-30 12:38:21,767 - pyskl - INFO - Epoch [39][3300/3746] lr: 8.432e-02, eta: 3 days, 0:44:52, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5308, loss_cls: 6.8840, loss: 6.8840 2023-12-30 12:39:21,260 - pyskl - INFO - Epoch [39][3400/3746] lr: 8.430e-02, eta: 3 days, 0:43:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5142, loss_cls: 6.9426, loss: 6.9426 2023-12-30 12:40:20,680 - pyskl - INFO - Epoch [39][3500/3746] lr: 8.428e-02, eta: 3 days, 0:42:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5216, loss_cls: 6.8777, loss: 6.8777 2023-12-30 12:41:20,623 - pyskl - INFO - Epoch [39][3600/3746] lr: 8.426e-02, eta: 3 days, 0:41:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5303, loss_cls: 6.8838, loss: 6.8838 2023-12-30 12:42:20,084 - pyskl - INFO - Epoch [39][3700/3746] lr: 8.424e-02, eta: 3 days, 0:40:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5239, loss_cls: 6.8790, loss: 6.8790 2023-12-30 12:42:50,069 - pyskl - INFO - Saving checkpoint at 39 epochs 2023-12-30 12:44:51,615 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 12:44:52,718 - pyskl - INFO - top1_acc 0.1660 top5_acc 0.3833 2023-12-30 12:44:52,718 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 12:44:52,761 - pyskl - INFO - mean_acc 0.1659 2023-12-30 12:44:52,770 - pyskl - INFO - Epoch(val) [39][309] top1_acc: 0.1660, top5_acc: 0.3833, mean_class_accuracy: 0.1659 2023-12-30 12:48:13,398 - pyskl - INFO - Epoch [40][100/3746] lr: 8.421e-02, eta: 3 days, 0:43:40, time: 2.006, data_time: 1.412, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5223, loss_cls: 6.8835, loss: 6.8835 2023-12-30 12:49:13,382 - pyskl - INFO - Epoch [40][200/3746] lr: 8.419e-02, eta: 3 days, 0:42:28, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5425, loss_cls: 6.7974, loss: 6.7974 2023-12-30 12:50:13,174 - pyskl - INFO - Epoch [40][300/3746] lr: 8.417e-02, eta: 3 days, 0:41:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5369, loss_cls: 6.8443, loss: 6.8443 2023-12-30 12:51:13,127 - pyskl - INFO - Epoch [40][400/3746] lr: 8.415e-02, eta: 3 days, 0:40:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5375, loss_cls: 6.8361, loss: 6.8361 2023-12-30 12:52:12,905 - pyskl - INFO - Epoch [40][500/3746] lr: 8.413e-02, eta: 3 days, 0:38:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5259, loss_cls: 6.8602, loss: 6.8602 2023-12-30 12:53:12,462 - pyskl - INFO - Epoch [40][600/3746] lr: 8.411e-02, eta: 3 days, 0:37:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5156, loss_cls: 6.9226, loss: 6.9226 2023-12-30 12:54:12,107 - pyskl - INFO - Epoch [40][700/3746] lr: 8.408e-02, eta: 3 days, 0:36:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5205, loss_cls: 6.9126, loss: 6.9126 2023-12-30 12:55:11,644 - pyskl - INFO - Epoch [40][800/3746] lr: 8.406e-02, eta: 3 days, 0:35:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5216, loss_cls: 6.8881, loss: 6.8881 2023-12-30 12:56:11,399 - pyskl - INFO - Epoch [40][900/3746] lr: 8.404e-02, eta: 3 days, 0:34:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5258, loss_cls: 6.8655, loss: 6.8655 2023-12-30 12:57:10,891 - pyskl - INFO - Epoch [40][1000/3746] lr: 8.402e-02, eta: 3 days, 0:32:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5255, loss_cls: 6.8469, loss: 6.8469 2023-12-30 12:58:10,559 - pyskl - INFO - Epoch [40][1100/3746] lr: 8.400e-02, eta: 3 days, 0:31:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5178, loss_cls: 6.9299, loss: 6.9299 2023-12-30 12:59:09,783 - pyskl - INFO - Epoch [40][1200/3746] lr: 8.398e-02, eta: 3 days, 0:30:24, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5225, loss_cls: 6.9154, loss: 6.9154 2023-12-30 13:00:09,404 - pyskl - INFO - Epoch [40][1300/3746] lr: 8.396e-02, eta: 3 days, 0:29:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5189, loss_cls: 6.9130, loss: 6.9130 2023-12-30 13:01:09,730 - pyskl - INFO - Epoch [40][1400/3746] lr: 8.394e-02, eta: 3 days, 0:28:02, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5294, loss_cls: 6.8516, loss: 6.8516 2023-12-30 13:02:10,264 - pyskl - INFO - Epoch [40][1500/3746] lr: 8.392e-02, eta: 3 days, 0:26:52, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5281, loss_cls: 6.8807, loss: 6.8807 2023-12-30 13:03:09,618 - pyskl - INFO - Epoch [40][1600/3746] lr: 8.390e-02, eta: 3 days, 0:25:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5234, loss_cls: 6.8894, loss: 6.8894 2023-12-30 13:04:09,125 - pyskl - INFO - Epoch [40][1700/3746] lr: 8.388e-02, eta: 3 days, 0:24:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5212, loss_cls: 6.8929, loss: 6.8929 2023-12-30 13:05:08,835 - pyskl - INFO - Epoch [40][1800/3746] lr: 8.386e-02, eta: 3 days, 0:23:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2766, top5_acc: 0.5330, loss_cls: 6.8881, loss: 6.8881 2023-12-30 13:06:08,197 - pyskl - INFO - Epoch [40][1900/3746] lr: 8.384e-02, eta: 3 days, 0:22:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5316, loss_cls: 6.9096, loss: 6.9096 2023-12-30 13:07:07,908 - pyskl - INFO - Epoch [40][2000/3746] lr: 8.382e-02, eta: 3 days, 0:20:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5141, loss_cls: 6.9338, loss: 6.9338 2023-12-30 13:08:07,616 - pyskl - INFO - Epoch [40][2100/3746] lr: 8.380e-02, eta: 3 days, 0:19:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5205, loss_cls: 6.8908, loss: 6.8908 2023-12-30 13:09:07,208 - pyskl - INFO - Epoch [40][2200/3746] lr: 8.378e-02, eta: 3 days, 0:18:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5317, loss_cls: 6.8453, loss: 6.8453 2023-12-30 13:10:06,888 - pyskl - INFO - Epoch [40][2300/3746] lr: 8.376e-02, eta: 3 days, 0:17:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5141, loss_cls: 6.9325, loss: 6.9325 2023-12-30 13:11:07,077 - pyskl - INFO - Epoch [40][2400/3746] lr: 8.374e-02, eta: 3 days, 0:16:02, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5158, loss_cls: 6.9234, loss: 6.9234 2023-12-30 13:12:06,794 - pyskl - INFO - Epoch [40][2500/3746] lr: 8.371e-02, eta: 3 days, 0:14:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5294, loss_cls: 6.9122, loss: 6.9122 2023-12-30 13:13:06,603 - pyskl - INFO - Epoch [40][2600/3746] lr: 8.369e-02, eta: 3 days, 0:13:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5295, loss_cls: 6.8875, loss: 6.8875 2023-12-30 13:14:06,895 - pyskl - INFO - Epoch [40][2700/3746] lr: 8.367e-02, eta: 3 days, 0:12:29, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5266, loss_cls: 6.8514, loss: 6.8514 2023-12-30 13:15:06,567 - pyskl - INFO - Epoch [40][2800/3746] lr: 8.365e-02, eta: 3 days, 0:11:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5270, loss_cls: 6.8981, loss: 6.8981 2023-12-30 13:16:06,119 - pyskl - INFO - Epoch [40][2900/3746] lr: 8.363e-02, eta: 3 days, 0:10:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5173, loss_cls: 6.8994, loss: 6.8994 2023-12-30 13:17:05,577 - pyskl - INFO - Epoch [40][3000/3746] lr: 8.361e-02, eta: 3 days, 0:08:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5331, loss_cls: 6.8711, loss: 6.8711 2023-12-30 13:18:05,287 - pyskl - INFO - Epoch [40][3100/3746] lr: 8.359e-02, eta: 3 days, 0:07:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5264, loss_cls: 6.8979, loss: 6.8979 2023-12-30 13:19:05,620 - pyskl - INFO - Epoch [40][3200/3746] lr: 8.357e-02, eta: 3 days, 0:06:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2855, top5_acc: 0.5270, loss_cls: 6.8599, loss: 6.8599 2023-12-30 13:20:05,706 - pyskl - INFO - Epoch [40][3300/3746] lr: 8.355e-02, eta: 3 days, 0:05:19, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5202, loss_cls: 6.9393, loss: 6.9393 2023-12-30 13:21:06,247 - pyskl - INFO - Epoch [40][3400/3746] lr: 8.353e-02, eta: 3 days, 0:04:10, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5247, loss_cls: 6.9009, loss: 6.9009 2023-12-30 13:22:06,635 - pyskl - INFO - Epoch [40][3500/3746] lr: 8.351e-02, eta: 3 days, 0:03:00, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5359, loss_cls: 6.8316, loss: 6.8316 2023-12-30 13:23:06,495 - pyskl - INFO - Epoch [40][3600/3746] lr: 8.349e-02, eta: 3 days, 0:01:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5147, loss_cls: 6.9120, loss: 6.9120 2023-12-30 13:24:05,883 - pyskl - INFO - Epoch [40][3700/3746] lr: 8.347e-02, eta: 3 days, 0:00:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5420, loss_cls: 6.8272, loss: 6.8272 2023-12-30 13:24:35,620 - pyskl - INFO - Saving checkpoint at 40 epochs 2023-12-30 13:26:36,525 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 13:26:37,677 - pyskl - INFO - top1_acc 0.2031 top5_acc 0.4344 2023-12-30 13:26:37,678 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 13:26:37,716 - pyskl - INFO - mean_acc 0.2025 2023-12-30 13:26:37,726 - pyskl - INFO - Epoch(val) [40][309] top1_acc: 0.2031, top5_acc: 0.4344, mean_class_accuracy: 0.2025 2023-12-30 13:29:57,520 - pyskl - INFO - Epoch [41][100/3746] lr: 8.344e-02, eta: 3 days, 0:04:01, time: 1.998, data_time: 1.397, memory: 16177, top1_acc: 0.2794, top5_acc: 0.5380, loss_cls: 6.8642, loss: 6.8642 2023-12-30 13:30:57,660 - pyskl - INFO - Epoch [41][200/3746] lr: 8.342e-02, eta: 3 days, 0:02:50, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5363, loss_cls: 6.8288, loss: 6.8288 2023-12-30 13:31:57,800 - pyskl - INFO - Epoch [41][300/3746] lr: 8.339e-02, eta: 3 days, 0:01:39, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5384, loss_cls: 6.8272, loss: 6.8272 2023-12-30 13:32:57,944 - pyskl - INFO - Epoch [41][400/3746] lr: 8.337e-02, eta: 3 days, 0:00:29, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5373, loss_cls: 6.8328, loss: 6.8328 2023-12-30 13:33:57,440 - pyskl - INFO - Epoch [41][500/3746] lr: 8.335e-02, eta: 2 days, 23:59:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5275, loss_cls: 6.8787, loss: 6.8787 2023-12-30 13:34:57,337 - pyskl - INFO - Epoch [41][600/3746] lr: 8.333e-02, eta: 2 days, 23:58:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5197, loss_cls: 6.8827, loss: 6.8827 2023-12-30 13:35:57,302 - pyskl - INFO - Epoch [41][700/3746] lr: 8.331e-02, eta: 2 days, 23:56:53, time: 0.600, data_time: 0.001, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5239, loss_cls: 6.9072, loss: 6.9072 2023-12-30 13:36:57,122 - pyskl - INFO - Epoch [41][800/3746] lr: 8.329e-02, eta: 2 days, 23:55:42, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5339, loss_cls: 6.8461, loss: 6.8461 2023-12-30 13:37:56,940 - pyskl - INFO - Epoch [41][900/3746] lr: 8.327e-02, eta: 2 days, 23:54:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5361, loss_cls: 6.8309, loss: 6.8309 2023-12-30 13:38:56,575 - pyskl - INFO - Epoch [41][1000/3746] lr: 8.325e-02, eta: 2 days, 23:53:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5228, loss_cls: 6.9198, loss: 6.9198 2023-12-30 13:39:56,348 - pyskl - INFO - Epoch [41][1100/3746] lr: 8.323e-02, eta: 2 days, 23:52:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5242, loss_cls: 6.8835, loss: 6.8835 2023-12-30 13:40:55,716 - pyskl - INFO - Epoch [41][1200/3746] lr: 8.321e-02, eta: 2 days, 23:50:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5264, loss_cls: 6.9053, loss: 6.9053 2023-12-30 13:41:55,467 - pyskl - INFO - Epoch [41][1300/3746] lr: 8.319e-02, eta: 2 days, 23:49:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5300, loss_cls: 6.8689, loss: 6.8689 2023-12-30 13:42:55,258 - pyskl - INFO - Epoch [41][1400/3746] lr: 8.316e-02, eta: 2 days, 23:48:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5230, loss_cls: 6.8955, loss: 6.8955 2023-12-30 13:43:55,633 - pyskl - INFO - Epoch [41][1500/3746] lr: 8.314e-02, eta: 2 days, 23:47:21, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2794, top5_acc: 0.5256, loss_cls: 6.8525, loss: 6.8525 2023-12-30 13:44:55,209 - pyskl - INFO - Epoch [41][1600/3746] lr: 8.312e-02, eta: 2 days, 23:46:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5216, loss_cls: 6.9167, loss: 6.9167 2023-12-30 13:45:54,939 - pyskl - INFO - Epoch [41][1700/3746] lr: 8.310e-02, eta: 2 days, 23:44:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5216, loss_cls: 6.8893, loss: 6.8893 2023-12-30 13:46:54,747 - pyskl - INFO - Epoch [41][1800/3746] lr: 8.308e-02, eta: 2 days, 23:43:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5286, loss_cls: 6.9062, loss: 6.9062 2023-12-30 13:47:54,376 - pyskl - INFO - Epoch [41][1900/3746] lr: 8.306e-02, eta: 2 days, 23:42:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5372, loss_cls: 6.8546, loss: 6.8546 2023-12-30 13:48:53,847 - pyskl - INFO - Epoch [41][2000/3746] lr: 8.304e-02, eta: 2 days, 23:41:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5367, loss_cls: 6.8468, loss: 6.8468 2023-12-30 13:49:53,386 - pyskl - INFO - Epoch [41][2100/3746] lr: 8.302e-02, eta: 2 days, 23:40:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5323, loss_cls: 6.8610, loss: 6.8610 2023-12-30 13:50:53,916 - pyskl - INFO - Epoch [41][2200/3746] lr: 8.300e-02, eta: 2 days, 23:39:00, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5212, loss_cls: 6.8885, loss: 6.8885 2023-12-30 13:51:53,592 - pyskl - INFO - Epoch [41][2300/3746] lr: 8.298e-02, eta: 2 days, 23:37:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5222, loss_cls: 6.8821, loss: 6.8821 2023-12-30 13:52:53,836 - pyskl - INFO - Epoch [41][2400/3746] lr: 8.296e-02, eta: 2 days, 23:36:38, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5306, loss_cls: 6.8851, loss: 6.8851 2023-12-30 13:53:53,727 - pyskl - INFO - Epoch [41][2500/3746] lr: 8.293e-02, eta: 2 days, 23:35:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5230, loss_cls: 6.9072, loss: 6.9072 2023-12-30 13:54:53,503 - pyskl - INFO - Epoch [41][2600/3746] lr: 8.291e-02, eta: 2 days, 23:34:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5295, loss_cls: 6.8644, loss: 6.8644 2023-12-30 13:55:53,069 - pyskl - INFO - Epoch [41][2700/3746] lr: 8.289e-02, eta: 2 days, 23:33:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5192, loss_cls: 6.9097, loss: 6.9097 2023-12-30 13:56:52,669 - pyskl - INFO - Epoch [41][2800/3746] lr: 8.287e-02, eta: 2 days, 23:31:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5225, loss_cls: 6.8873, loss: 6.8873 2023-12-30 13:57:52,414 - pyskl - INFO - Epoch [41][2900/3746] lr: 8.285e-02, eta: 2 days, 23:30:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5245, loss_cls: 6.9059, loss: 6.9059 2023-12-30 13:58:51,718 - pyskl - INFO - Epoch [41][3000/3746] lr: 8.283e-02, eta: 2 days, 23:29:28, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5253, loss_cls: 6.8974, loss: 6.8974 2023-12-30 13:59:51,204 - pyskl - INFO - Epoch [41][3100/3746] lr: 8.281e-02, eta: 2 days, 23:28:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5278, loss_cls: 6.8952, loss: 6.8952 2023-12-30 14:00:50,648 - pyskl - INFO - Epoch [41][3200/3746] lr: 8.279e-02, eta: 2 days, 23:27:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5197, loss_cls: 6.9325, loss: 6.9325 2023-12-30 14:01:50,219 - pyskl - INFO - Epoch [41][3300/3746] lr: 8.277e-02, eta: 2 days, 23:25:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5211, loss_cls: 6.9257, loss: 6.9257 2023-12-30 14:02:49,712 - pyskl - INFO - Epoch [41][3400/3746] lr: 8.274e-02, eta: 2 days, 23:24:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5333, loss_cls: 6.8605, loss: 6.8605 2023-12-30 14:03:49,252 - pyskl - INFO - Epoch [41][3500/3746] lr: 8.272e-02, eta: 2 days, 23:23:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5123, loss_cls: 6.9334, loss: 6.9334 2023-12-30 14:04:48,593 - pyskl - INFO - Epoch [41][3600/3746] lr: 8.270e-02, eta: 2 days, 23:22:15, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5416, loss_cls: 6.8138, loss: 6.8138 2023-12-30 14:05:48,678 - pyskl - INFO - Epoch [41][3700/3746] lr: 8.268e-02, eta: 2 days, 23:21:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5319, loss_cls: 6.8706, loss: 6.8706 2023-12-30 14:06:19,252 - pyskl - INFO - Saving checkpoint at 41 epochs 2023-12-30 14:08:22,550 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 14:08:23,315 - pyskl - INFO - top1_acc 0.1869 top5_acc 0.4124 2023-12-30 14:08:23,315 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 14:08:23,351 - pyskl - INFO - mean_acc 0.1869 2023-12-30 14:08:23,360 - pyskl - INFO - Epoch(val) [41][309] top1_acc: 0.1869, top5_acc: 0.4124, mean_class_accuracy: 0.1869 2023-12-30 14:11:44,886 - pyskl - INFO - Epoch [42][100/3746] lr: 8.265e-02, eta: 2 days, 23:24:24, time: 2.015, data_time: 1.416, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5409, loss_cls: 6.8407, loss: 6.8407 2023-12-30 14:12:45,500 - pyskl - INFO - Epoch [42][200/3746] lr: 8.263e-02, eta: 2 days, 23:23:15, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5419, loss_cls: 6.8015, loss: 6.8015 2023-12-30 14:13:45,203 - pyskl - INFO - Epoch [42][300/3746] lr: 8.261e-02, eta: 2 days, 23:22:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5339, loss_cls: 6.8796, loss: 6.8796 2023-12-30 14:14:44,984 - pyskl - INFO - Epoch [42][400/3746] lr: 8.259e-02, eta: 2 days, 23:20:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5223, loss_cls: 6.9012, loss: 6.9012 2023-12-30 14:15:44,509 - pyskl - INFO - Epoch [42][500/3746] lr: 8.257e-02, eta: 2 days, 23:19:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5309, loss_cls: 6.8829, loss: 6.8829 2023-12-30 14:16:44,273 - pyskl - INFO - Epoch [42][600/3746] lr: 8.254e-02, eta: 2 days, 23:18:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5341, loss_cls: 6.8766, loss: 6.8766 2023-12-30 14:17:43,807 - pyskl - INFO - Epoch [42][700/3746] lr: 8.252e-02, eta: 2 days, 23:17:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5264, loss_cls: 6.8734, loss: 6.8734 2023-12-30 14:18:43,303 - pyskl - INFO - Epoch [42][800/3746] lr: 8.250e-02, eta: 2 days, 23:16:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5216, loss_cls: 6.8943, loss: 6.8943 2023-12-30 14:19:42,936 - pyskl - INFO - Epoch [42][900/3746] lr: 8.248e-02, eta: 2 days, 23:14:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5234, loss_cls: 6.9092, loss: 6.9092 2023-12-30 14:20:42,184 - pyskl - INFO - Epoch [42][1000/3746] lr: 8.246e-02, eta: 2 days, 23:13:40, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5330, loss_cls: 6.8624, loss: 6.8624 2023-12-30 14:21:41,372 - pyskl - INFO - Epoch [42][1100/3746] lr: 8.244e-02, eta: 2 days, 23:12:27, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5236, loss_cls: 6.8801, loss: 6.8801 2023-12-30 14:22:40,739 - pyskl - INFO - Epoch [42][1200/3746] lr: 8.242e-02, eta: 2 days, 23:11:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5298, loss_cls: 6.8787, loss: 6.8787 2023-12-30 14:23:40,136 - pyskl - INFO - Epoch [42][1300/3746] lr: 8.240e-02, eta: 2 days, 23:10:02, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5236, loss_cls: 6.8595, loss: 6.8595 2023-12-30 14:24:39,479 - pyskl - INFO - Epoch [42][1400/3746] lr: 8.237e-02, eta: 2 days, 23:08:50, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5217, loss_cls: 6.9227, loss: 6.9227 2023-12-30 14:25:39,372 - pyskl - INFO - Epoch [42][1500/3746] lr: 8.235e-02, eta: 2 days, 23:07:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5230, loss_cls: 6.9093, loss: 6.9093 2023-12-30 14:26:39,375 - pyskl - INFO - Epoch [42][1600/3746] lr: 8.233e-02, eta: 2 days, 23:06:28, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5330, loss_cls: 6.8647, loss: 6.8647 2023-12-30 14:27:38,796 - pyskl - INFO - Epoch [42][1700/3746] lr: 8.231e-02, eta: 2 days, 23:05:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5389, loss_cls: 6.8308, loss: 6.8308 2023-12-30 14:28:38,368 - pyskl - INFO - Epoch [42][1800/3746] lr: 8.229e-02, eta: 2 days, 23:04:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5272, loss_cls: 6.8960, loss: 6.8960 2023-12-30 14:29:37,926 - pyskl - INFO - Epoch [42][1900/3746] lr: 8.227e-02, eta: 2 days, 23:02:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5294, loss_cls: 6.8563, loss: 6.8563 2023-12-30 14:30:37,491 - pyskl - INFO - Epoch [42][2000/3746] lr: 8.225e-02, eta: 2 days, 23:01:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5366, loss_cls: 6.8702, loss: 6.8702 2023-12-30 14:31:36,844 - pyskl - INFO - Epoch [42][2100/3746] lr: 8.222e-02, eta: 2 days, 23:00:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5342, loss_cls: 6.8370, loss: 6.8370 2023-12-30 14:32:36,144 - pyskl - INFO - Epoch [42][2200/3746] lr: 8.220e-02, eta: 2 days, 22:59:16, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5298, loss_cls: 6.8657, loss: 6.8657 2023-12-30 14:33:36,742 - pyskl - INFO - Epoch [42][2300/3746] lr: 8.218e-02, eta: 2 days, 22:58:07, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5164, loss_cls: 6.9412, loss: 6.9412 2023-12-30 14:34:37,022 - pyskl - INFO - Epoch [42][2400/3746] lr: 8.216e-02, eta: 2 days, 22:56:58, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5238, loss_cls: 6.9141, loss: 6.9141 2023-12-30 14:35:37,235 - pyskl - INFO - Epoch [42][2500/3746] lr: 8.214e-02, eta: 2 days, 22:55:48, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5342, loss_cls: 6.8625, loss: 6.8625 2023-12-30 14:36:37,105 - pyskl - INFO - Epoch [42][2600/3746] lr: 8.212e-02, eta: 2 days, 22:54:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5288, loss_cls: 6.8734, loss: 6.8734 2023-12-30 14:37:37,084 - pyskl - INFO - Epoch [42][2700/3746] lr: 8.210e-02, eta: 2 days, 22:53:26, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5225, loss_cls: 6.8883, loss: 6.8883 2023-12-30 14:38:36,820 - pyskl - INFO - Epoch [42][2800/3746] lr: 8.207e-02, eta: 2 days, 22:52:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5211, loss_cls: 6.8882, loss: 6.8882 2023-12-30 14:39:36,392 - pyskl - INFO - Epoch [42][2900/3746] lr: 8.205e-02, eta: 2 days, 22:51:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5337, loss_cls: 6.8831, loss: 6.8831 2023-12-30 14:40:35,826 - pyskl - INFO - Epoch [42][3000/3746] lr: 8.203e-02, eta: 2 days, 22:49:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5209, loss_cls: 6.9221, loss: 6.9221 2023-12-30 14:41:35,361 - pyskl - INFO - Epoch [42][3100/3746] lr: 8.201e-02, eta: 2 days, 22:48:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5355, loss_cls: 6.8419, loss: 6.8419 2023-12-30 14:42:34,984 - pyskl - INFO - Epoch [42][3200/3746] lr: 8.199e-02, eta: 2 days, 22:47:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5216, loss_cls: 6.8849, loss: 6.8849 2023-12-30 14:43:34,657 - pyskl - INFO - Epoch [42][3300/3746] lr: 8.197e-02, eta: 2 days, 22:46:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5211, loss_cls: 6.8674, loss: 6.8674 2023-12-30 14:44:34,392 - pyskl - INFO - Epoch [42][3400/3746] lr: 8.195e-02, eta: 2 days, 22:45:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5245, loss_cls: 6.8973, loss: 6.8973 2023-12-30 14:45:34,672 - pyskl - INFO - Epoch [42][3500/3746] lr: 8.192e-02, eta: 2 days, 22:43:56, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5242, loss_cls: 6.9112, loss: 6.9112 2023-12-30 14:46:34,560 - pyskl - INFO - Epoch [42][3600/3746] lr: 8.190e-02, eta: 2 days, 22:42:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5327, loss_cls: 6.8707, loss: 6.8707 2023-12-30 14:47:34,109 - pyskl - INFO - Epoch [42][3700/3746] lr: 8.188e-02, eta: 2 days, 22:41:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5425, loss_cls: 6.8006, loss: 6.8006 2023-12-30 14:48:04,152 - pyskl - INFO - Saving checkpoint at 42 epochs 2023-12-30 14:50:03,743 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 14:50:04,812 - pyskl - INFO - top1_acc 0.2012 top5_acc 0.4339 2023-12-30 14:50:04,812 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 14:50:04,850 - pyskl - INFO - mean_acc 0.2010 2023-12-30 14:50:04,859 - pyskl - INFO - Epoch(val) [42][309] top1_acc: 0.2012, top5_acc: 0.4339, mean_class_accuracy: 0.2010 2023-12-30 14:53:23,877 - pyskl - INFO - Epoch [43][100/3746] lr: 8.185e-02, eta: 2 days, 22:44:38, time: 1.990, data_time: 1.392, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5364, loss_cls: 6.8533, loss: 6.8533 2023-12-30 14:54:23,890 - pyskl - INFO - Epoch [43][200/3746] lr: 8.183e-02, eta: 2 days, 22:43:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5261, loss_cls: 6.8673, loss: 6.8673 2023-12-30 14:55:23,854 - pyskl - INFO - Epoch [43][300/3746] lr: 8.181e-02, eta: 2 days, 22:42:17, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5278, loss_cls: 6.8650, loss: 6.8650 2023-12-30 14:56:23,663 - pyskl - INFO - Epoch [43][400/3746] lr: 8.179e-02, eta: 2 days, 22:41:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2872, top5_acc: 0.5294, loss_cls: 6.8639, loss: 6.8639 2023-12-30 14:57:23,887 - pyskl - INFO - Epoch [43][500/3746] lr: 8.176e-02, eta: 2 days, 22:39:56, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5225, loss_cls: 6.9146, loss: 6.9146 2023-12-30 14:58:23,911 - pyskl - INFO - Epoch [43][600/3746] lr: 8.174e-02, eta: 2 days, 22:38:45, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5231, loss_cls: 6.8654, loss: 6.8654 2023-12-30 14:59:23,602 - pyskl - INFO - Epoch [43][700/3746] lr: 8.172e-02, eta: 2 days, 22:37:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5383, loss_cls: 6.8374, loss: 6.8374 2023-12-30 15:00:23,046 - pyskl - INFO - Epoch [43][800/3746] lr: 8.170e-02, eta: 2 days, 22:36:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5281, loss_cls: 6.8455, loss: 6.8455 2023-12-30 15:01:22,471 - pyskl - INFO - Epoch [43][900/3746] lr: 8.168e-02, eta: 2 days, 22:35:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5286, loss_cls: 6.8604, loss: 6.8604 2023-12-30 15:02:22,047 - pyskl - INFO - Epoch [43][1000/3746] lr: 8.166e-02, eta: 2 days, 22:33:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5331, loss_cls: 6.8504, loss: 6.8504 2023-12-30 15:03:21,540 - pyskl - INFO - Epoch [43][1100/3746] lr: 8.163e-02, eta: 2 days, 22:32:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5259, loss_cls: 6.8891, loss: 6.8891 2023-12-30 15:04:20,967 - pyskl - INFO - Epoch [43][1200/3746] lr: 8.161e-02, eta: 2 days, 22:31:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5223, loss_cls: 6.9153, loss: 6.9153 2023-12-30 15:05:20,702 - pyskl - INFO - Epoch [43][1300/3746] lr: 8.159e-02, eta: 2 days, 22:30:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5253, loss_cls: 6.8888, loss: 6.8888 2023-12-30 15:06:20,065 - pyskl - INFO - Epoch [43][1400/3746] lr: 8.157e-02, eta: 2 days, 22:29:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5369, loss_cls: 6.8687, loss: 6.8687 2023-12-30 15:07:19,797 - pyskl - INFO - Epoch [43][1500/3746] lr: 8.155e-02, eta: 2 days, 22:28:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5281, loss_cls: 6.8948, loss: 6.8948 2023-12-30 15:08:20,094 - pyskl - INFO - Epoch [43][1600/3746] lr: 8.153e-02, eta: 2 days, 22:26:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5319, loss_cls: 6.8721, loss: 6.8721 2023-12-30 15:09:19,698 - pyskl - INFO - Epoch [43][1700/3746] lr: 8.150e-02, eta: 2 days, 22:25:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5342, loss_cls: 6.8392, loss: 6.8392 2023-12-30 15:10:19,122 - pyskl - INFO - Epoch [43][1800/3746] lr: 8.148e-02, eta: 2 days, 22:24:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2905, top5_acc: 0.5330, loss_cls: 6.8450, loss: 6.8450 2023-12-30 15:11:18,603 - pyskl - INFO - Epoch [43][1900/3746] lr: 8.146e-02, eta: 2 days, 22:23:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5298, loss_cls: 6.8750, loss: 6.8750 2023-12-30 15:12:18,078 - pyskl - INFO - Epoch [43][2000/3746] lr: 8.144e-02, eta: 2 days, 22:22:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5339, loss_cls: 6.8390, loss: 6.8390 2023-12-30 15:13:17,909 - pyskl - INFO - Epoch [43][2100/3746] lr: 8.142e-02, eta: 2 days, 22:20:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5241, loss_cls: 6.8736, loss: 6.8736 2023-12-30 15:14:17,363 - pyskl - INFO - Epoch [43][2200/3746] lr: 8.140e-02, eta: 2 days, 22:19:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5387, loss_cls: 6.8255, loss: 6.8255 2023-12-30 15:15:16,967 - pyskl - INFO - Epoch [43][2300/3746] lr: 8.137e-02, eta: 2 days, 22:18:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5278, loss_cls: 6.8757, loss: 6.8757 2023-12-30 15:16:17,698 - pyskl - INFO - Epoch [43][2400/3746] lr: 8.135e-02, eta: 2 days, 22:17:22, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5262, loss_cls: 6.8744, loss: 6.8744 2023-12-30 15:17:18,053 - pyskl - INFO - Epoch [43][2500/3746] lr: 8.133e-02, eta: 2 days, 22:16:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5238, loss_cls: 6.8980, loss: 6.8980 2023-12-30 15:18:17,869 - pyskl - INFO - Epoch [43][2600/3746] lr: 8.131e-02, eta: 2 days, 22:15:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5230, loss_cls: 6.8809, loss: 6.8809 2023-12-30 15:19:17,340 - pyskl - INFO - Epoch [43][2700/3746] lr: 8.129e-02, eta: 2 days, 22:13:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5234, loss_cls: 6.9078, loss: 6.9078 2023-12-30 15:20:16,996 - pyskl - INFO - Epoch [43][2800/3746] lr: 8.126e-02, eta: 2 days, 22:12:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5267, loss_cls: 6.8737, loss: 6.8737 2023-12-30 15:21:16,443 - pyskl - INFO - Epoch [43][2900/3746] lr: 8.124e-02, eta: 2 days, 22:11:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5164, loss_cls: 6.9356, loss: 6.9356 2023-12-30 15:22:15,952 - pyskl - INFO - Epoch [43][3000/3746] lr: 8.122e-02, eta: 2 days, 22:10:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5186, loss_cls: 6.9001, loss: 6.9001 2023-12-30 15:23:15,600 - pyskl - INFO - Epoch [43][3100/3746] lr: 8.120e-02, eta: 2 days, 22:09:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5327, loss_cls: 6.8406, loss: 6.8406 2023-12-30 15:24:14,966 - pyskl - INFO - Epoch [43][3200/3746] lr: 8.118e-02, eta: 2 days, 22:07:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5245, loss_cls: 6.8894, loss: 6.8894 2023-12-30 15:25:14,455 - pyskl - INFO - Epoch [43][3300/3746] lr: 8.116e-02, eta: 2 days, 22:06:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5339, loss_cls: 6.8732, loss: 6.8732 2023-12-30 15:26:14,048 - pyskl - INFO - Epoch [43][3400/3746] lr: 8.113e-02, eta: 2 days, 22:05:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5281, loss_cls: 6.8846, loss: 6.8846 2023-12-30 15:27:14,319 - pyskl - INFO - Epoch [43][3500/3746] lr: 8.111e-02, eta: 2 days, 22:04:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5333, loss_cls: 6.8818, loss: 6.8818 2023-12-30 15:28:13,852 - pyskl - INFO - Epoch [43][3600/3746] lr: 8.109e-02, eta: 2 days, 22:03:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5195, loss_cls: 6.8903, loss: 6.8903 2023-12-30 15:29:13,416 - pyskl - INFO - Epoch [43][3700/3746] lr: 8.107e-02, eta: 2 days, 22:01:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5406, loss_cls: 6.8183, loss: 6.8183 2023-12-30 15:29:43,726 - pyskl - INFO - Saving checkpoint at 43 epochs 2023-12-30 15:31:45,600 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 15:31:46,368 - pyskl - INFO - top1_acc 0.2029 top5_acc 0.4312 2023-12-30 15:31:46,368 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 15:31:46,400 - pyskl - INFO - mean_acc 0.2028 2023-12-30 15:31:46,408 - pyskl - INFO - Epoch(val) [43][309] top1_acc: 0.2029, top5_acc: 0.4312, mean_class_accuracy: 0.2028 2023-12-30 15:35:09,190 - pyskl - INFO - Epoch [44][100/3746] lr: 8.104e-02, eta: 2 days, 22:05:03, time: 2.028, data_time: 1.433, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5391, loss_cls: 6.8188, loss: 6.8188 2023-12-30 15:36:09,551 - pyskl - INFO - Epoch [44][200/3746] lr: 8.101e-02, eta: 2 days, 22:03:54, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5303, loss_cls: 6.8545, loss: 6.8545 2023-12-30 15:37:09,570 - pyskl - INFO - Epoch [44][300/3746] lr: 8.099e-02, eta: 2 days, 22:02:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2875, top5_acc: 0.5353, loss_cls: 6.8321, loss: 6.8321 2023-12-30 15:38:10,195 - pyskl - INFO - Epoch [44][400/3746] lr: 8.097e-02, eta: 2 days, 22:01:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5333, loss_cls: 6.8658, loss: 6.8658 2023-12-30 15:39:10,336 - pyskl - INFO - Epoch [44][500/3746] lr: 8.095e-02, eta: 2 days, 22:00:25, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5273, loss_cls: 6.8718, loss: 6.8718 2023-12-30 15:40:09,999 - pyskl - INFO - Epoch [44][600/3746] lr: 8.093e-02, eta: 2 days, 21:59:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5256, loss_cls: 6.8916, loss: 6.8916 2023-12-30 15:41:09,743 - pyskl - INFO - Epoch [44][700/3746] lr: 8.090e-02, eta: 2 days, 21:58:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5264, loss_cls: 6.8624, loss: 6.8624 2023-12-30 15:42:09,251 - pyskl - INFO - Epoch [44][800/3746] lr: 8.088e-02, eta: 2 days, 21:56:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5330, loss_cls: 6.8634, loss: 6.8634 2023-12-30 15:43:09,264 - pyskl - INFO - Epoch [44][900/3746] lr: 8.086e-02, eta: 2 days, 21:55:41, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5328, loss_cls: 6.8436, loss: 6.8436 2023-12-30 15:44:08,707 - pyskl - INFO - Epoch [44][1000/3746] lr: 8.084e-02, eta: 2 days, 21:54:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5312, loss_cls: 6.8751, loss: 6.8751 2023-12-30 15:45:08,455 - pyskl - INFO - Epoch [44][1100/3746] lr: 8.082e-02, eta: 2 days, 21:53:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5427, loss_cls: 6.8404, loss: 6.8404 2023-12-30 15:46:07,957 - pyskl - INFO - Epoch [44][1200/3746] lr: 8.079e-02, eta: 2 days, 21:52:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2794, top5_acc: 0.5312, loss_cls: 6.8778, loss: 6.8778 2023-12-30 15:47:07,585 - pyskl - INFO - Epoch [44][1300/3746] lr: 8.077e-02, eta: 2 days, 21:50:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5350, loss_cls: 6.8209, loss: 6.8209 2023-12-30 15:48:07,808 - pyskl - INFO - Epoch [44][1400/3746] lr: 8.075e-02, eta: 2 days, 21:49:46, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5231, loss_cls: 6.8752, loss: 6.8752 2023-12-30 15:49:07,692 - pyskl - INFO - Epoch [44][1500/3746] lr: 8.073e-02, eta: 2 days, 21:48:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5283, loss_cls: 6.8665, loss: 6.8665 2023-12-30 15:50:07,838 - pyskl - INFO - Epoch [44][1600/3746] lr: 8.071e-02, eta: 2 days, 21:47:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5234, loss_cls: 6.8873, loss: 6.8873 2023-12-30 15:51:07,685 - pyskl - INFO - Epoch [44][1700/3746] lr: 8.068e-02, eta: 2 days, 21:46:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5252, loss_cls: 6.9381, loss: 6.9381 2023-12-30 15:52:06,831 - pyskl - INFO - Epoch [44][1800/3746] lr: 8.066e-02, eta: 2 days, 21:45:03, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5363, loss_cls: 6.8310, loss: 6.8310 2023-12-30 15:53:06,317 - pyskl - INFO - Epoch [44][1900/3746] lr: 8.064e-02, eta: 2 days, 21:43:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5228, loss_cls: 6.9106, loss: 6.9106 2023-12-30 15:54:05,738 - pyskl - INFO - Epoch [44][2000/3746] lr: 8.062e-02, eta: 2 days, 21:42:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5234, loss_cls: 6.8754, loss: 6.8754 2023-12-30 15:55:05,144 - pyskl - INFO - Epoch [44][2100/3746] lr: 8.060e-02, eta: 2 days, 21:41:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5402, loss_cls: 6.8367, loss: 6.8367 2023-12-30 15:56:04,717 - pyskl - INFO - Epoch [44][2200/3746] lr: 8.057e-02, eta: 2 days, 21:40:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5400, loss_cls: 6.8099, loss: 6.8099 2023-12-30 15:57:04,217 - pyskl - INFO - Epoch [44][2300/3746] lr: 8.055e-02, eta: 2 days, 21:39:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2872, top5_acc: 0.5344, loss_cls: 6.8502, loss: 6.8502 2023-12-30 15:58:03,531 - pyskl - INFO - Epoch [44][2400/3746] lr: 8.053e-02, eta: 2 days, 21:37:55, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5280, loss_cls: 6.8780, loss: 6.8780 2023-12-30 15:59:02,983 - pyskl - INFO - Epoch [44][2500/3746] lr: 8.051e-02, eta: 2 days, 21:36:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5300, loss_cls: 6.8456, loss: 6.8456 2023-12-30 16:00:02,525 - pyskl - INFO - Epoch [44][2600/3746] lr: 8.048e-02, eta: 2 days, 21:35:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5184, loss_cls: 6.9196, loss: 6.9196 2023-12-30 16:01:02,022 - pyskl - INFO - Epoch [44][2700/3746] lr: 8.046e-02, eta: 2 days, 21:34:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5305, loss_cls: 6.9016, loss: 6.9016 2023-12-30 16:02:01,702 - pyskl - INFO - Epoch [44][2800/3746] lr: 8.044e-02, eta: 2 days, 21:33:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5227, loss_cls: 6.8798, loss: 6.8798 2023-12-30 16:03:01,069 - pyskl - INFO - Epoch [44][2900/3746] lr: 8.042e-02, eta: 2 days, 21:31:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5345, loss_cls: 6.8518, loss: 6.8518 2023-12-30 16:04:00,479 - pyskl - INFO - Epoch [44][3000/3746] lr: 8.040e-02, eta: 2 days, 21:30:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5278, loss_cls: 6.8590, loss: 6.8590 2023-12-30 16:04:59,978 - pyskl - INFO - Epoch [44][3100/3746] lr: 8.037e-02, eta: 2 days, 21:29:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5280, loss_cls: 6.8687, loss: 6.8687 2023-12-30 16:05:59,863 - pyskl - INFO - Epoch [44][3200/3746] lr: 8.035e-02, eta: 2 days, 21:28:26, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5380, loss_cls: 6.8372, loss: 6.8372 2023-12-30 16:06:59,767 - pyskl - INFO - Epoch [44][3300/3746] lr: 8.033e-02, eta: 2 days, 21:27:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5275, loss_cls: 6.8772, loss: 6.8772 2023-12-30 16:07:59,755 - pyskl - INFO - Epoch [44][3400/3746] lr: 8.031e-02, eta: 2 days, 21:26:06, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2786, top5_acc: 0.5272, loss_cls: 6.8597, loss: 6.8597 2023-12-30 16:08:59,664 - pyskl - INFO - Epoch [44][3500/3746] lr: 8.028e-02, eta: 2 days, 21:24:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5337, loss_cls: 6.8385, loss: 6.8385 2023-12-30 16:09:59,395 - pyskl - INFO - Epoch [44][3600/3746] lr: 8.026e-02, eta: 2 days, 21:23:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5305, loss_cls: 6.8718, loss: 6.8718 2023-12-30 16:10:59,248 - pyskl - INFO - Epoch [44][3700/3746] lr: 8.024e-02, eta: 2 days, 21:22:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5373, loss_cls: 6.8757, loss: 6.8757 2023-12-30 16:11:29,319 - pyskl - INFO - Saving checkpoint at 44 epochs 2023-12-30 16:13:30,693 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 16:13:31,734 - pyskl - INFO - top1_acc 0.1978 top5_acc 0.4303 2023-12-30 16:13:31,734 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 16:13:31,774 - pyskl - INFO - mean_acc 0.1976 2023-12-30 16:13:31,783 - pyskl - INFO - Epoch(val) [44][309] top1_acc: 0.1978, top5_acc: 0.4303, mean_class_accuracy: 0.1976 2023-12-30 16:16:51,578 - pyskl - INFO - Epoch [45][100/3746] lr: 8.021e-02, eta: 2 days, 21:25:23, time: 1.998, data_time: 1.404, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5334, loss_cls: 6.8403, loss: 6.8403 2023-12-30 16:17:51,515 - pyskl - INFO - Epoch [45][200/3746] lr: 8.019e-02, eta: 2 days, 21:24:13, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5256, loss_cls: 6.8744, loss: 6.8744 2023-12-30 16:18:51,709 - pyskl - INFO - Epoch [45][300/3746] lr: 8.016e-02, eta: 2 days, 21:23:04, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5405, loss_cls: 6.8027, loss: 6.8027 2023-12-30 16:19:51,511 - pyskl - INFO - Epoch [45][400/3746] lr: 8.014e-02, eta: 2 days, 21:21:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5366, loss_cls: 6.8258, loss: 6.8258 2023-12-30 16:20:51,408 - pyskl - INFO - Epoch [45][500/3746] lr: 8.012e-02, eta: 2 days, 21:20:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5269, loss_cls: 6.8533, loss: 6.8533 2023-12-30 16:21:51,998 - pyskl - INFO - Epoch [45][600/3746] lr: 8.010e-02, eta: 2 days, 21:19:34, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5370, loss_cls: 6.8262, loss: 6.8262 2023-12-30 16:22:51,702 - pyskl - INFO - Epoch [45][700/3746] lr: 8.007e-02, eta: 2 days, 21:18:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5348, loss_cls: 6.8356, loss: 6.8356 2023-12-30 16:23:51,341 - pyskl - INFO - Epoch [45][800/3746] lr: 8.005e-02, eta: 2 days, 21:17:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5219, loss_cls: 6.8946, loss: 6.8946 2023-12-30 16:24:51,132 - pyskl - INFO - Epoch [45][900/3746] lr: 8.003e-02, eta: 2 days, 21:16:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5298, loss_cls: 6.8778, loss: 6.8778 2023-12-30 16:25:50,834 - pyskl - INFO - Epoch [45][1000/3746] lr: 8.001e-02, eta: 2 days, 21:14:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2828, top5_acc: 0.5378, loss_cls: 6.8573, loss: 6.8573 2023-12-30 16:26:50,266 - pyskl - INFO - Epoch [45][1100/3746] lr: 7.998e-02, eta: 2 days, 21:13:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2786, top5_acc: 0.5261, loss_cls: 6.8575, loss: 6.8575 2023-12-30 16:27:49,963 - pyskl - INFO - Epoch [45][1200/3746] lr: 7.996e-02, eta: 2 days, 21:12:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5280, loss_cls: 6.8886, loss: 6.8886 2023-12-30 16:28:49,539 - pyskl - INFO - Epoch [45][1300/3746] lr: 7.994e-02, eta: 2 days, 21:11:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5264, loss_cls: 6.8833, loss: 6.8833 2023-12-30 16:29:49,301 - pyskl - INFO - Epoch [45][1400/3746] lr: 7.992e-02, eta: 2 days, 21:10:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5239, loss_cls: 6.9199, loss: 6.9199 2023-12-30 16:30:48,989 - pyskl - INFO - Epoch [45][1500/3746] lr: 7.990e-02, eta: 2 days, 21:08:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5367, loss_cls: 6.8497, loss: 6.8497 2023-12-30 16:31:49,607 - pyskl - INFO - Epoch [45][1600/3746] lr: 7.987e-02, eta: 2 days, 21:07:49, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5384, loss_cls: 6.8835, loss: 6.8835 2023-12-30 16:32:50,171 - pyskl - INFO - Epoch [45][1700/3746] lr: 7.985e-02, eta: 2 days, 21:06:40, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5275, loss_cls: 6.8536, loss: 6.8536 2023-12-30 16:33:49,658 - pyskl - INFO - Epoch [45][1800/3746] lr: 7.983e-02, eta: 2 days, 21:05:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5453, loss_cls: 6.7971, loss: 6.7971 2023-12-30 16:34:49,236 - pyskl - INFO - Epoch [45][1900/3746] lr: 7.981e-02, eta: 2 days, 21:04:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5278, loss_cls: 6.8612, loss: 6.8612 2023-12-30 16:35:49,062 - pyskl - INFO - Epoch [45][2000/3746] lr: 7.978e-02, eta: 2 days, 21:03:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5322, loss_cls: 6.8555, loss: 6.8555 2023-12-30 16:36:48,665 - pyskl - INFO - Epoch [45][2100/3746] lr: 7.976e-02, eta: 2 days, 21:01:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5266, loss_cls: 6.8763, loss: 6.8763 2023-12-30 16:37:48,553 - pyskl - INFO - Epoch [45][2200/3746] lr: 7.974e-02, eta: 2 days, 21:00:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5211, loss_cls: 6.8942, loss: 6.8942 2023-12-30 16:38:48,021 - pyskl - INFO - Epoch [45][2300/3746] lr: 7.972e-02, eta: 2 days, 20:59:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5430, loss_cls: 6.8281, loss: 6.8281 2023-12-30 16:39:47,682 - pyskl - INFO - Epoch [45][2400/3746] lr: 7.969e-02, eta: 2 days, 20:58:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5327, loss_cls: 6.8498, loss: 6.8498 2023-12-30 16:40:47,773 - pyskl - INFO - Epoch [45][2500/3746] lr: 7.967e-02, eta: 2 days, 20:57:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5247, loss_cls: 6.8685, loss: 6.8685 2023-12-30 16:41:47,555 - pyskl - INFO - Epoch [45][2600/3746] lr: 7.965e-02, eta: 2 days, 20:56:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5361, loss_cls: 6.8359, loss: 6.8359 2023-12-30 16:42:47,223 - pyskl - INFO - Epoch [45][2700/3746] lr: 7.963e-02, eta: 2 days, 20:54:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5348, loss_cls: 6.8579, loss: 6.8579 2023-12-30 16:43:46,852 - pyskl - INFO - Epoch [45][2800/3746] lr: 7.960e-02, eta: 2 days, 20:53:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5405, loss_cls: 6.8302, loss: 6.8302 2023-12-30 16:44:46,441 - pyskl - INFO - Epoch [45][2900/3746] lr: 7.958e-02, eta: 2 days, 20:52:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2792, top5_acc: 0.5220, loss_cls: 6.8982, loss: 6.8982 2023-12-30 16:45:46,086 - pyskl - INFO - Epoch [45][3000/3746] lr: 7.956e-02, eta: 2 days, 20:51:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5353, loss_cls: 6.8403, loss: 6.8403 2023-12-30 16:46:46,247 - pyskl - INFO - Epoch [45][3100/3746] lr: 7.954e-02, eta: 2 days, 20:50:14, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5277, loss_cls: 6.8854, loss: 6.8854 2023-12-30 16:47:46,893 - pyskl - INFO - Epoch [45][3200/3746] lr: 7.951e-02, eta: 2 days, 20:49:06, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5275, loss_cls: 6.8541, loss: 6.8541 2023-12-30 16:48:46,865 - pyskl - INFO - Epoch [45][3300/3746] lr: 7.949e-02, eta: 2 days, 20:47:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5416, loss_cls: 6.8352, loss: 6.8352 2023-12-30 16:49:47,397 - pyskl - INFO - Epoch [45][3400/3746] lr: 7.947e-02, eta: 2 days, 20:46:48, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5266, loss_cls: 6.8648, loss: 6.8648 2023-12-30 16:50:47,454 - pyskl - INFO - Epoch [45][3500/3746] lr: 7.945e-02, eta: 2 days, 20:45:38, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5262, loss_cls: 6.8657, loss: 6.8657 2023-12-30 16:51:47,238 - pyskl - INFO - Epoch [45][3600/3746] lr: 7.942e-02, eta: 2 days, 20:44:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5228, loss_cls: 6.9152, loss: 6.9152 2023-12-30 16:52:47,239 - pyskl - INFO - Epoch [45][3700/3746] lr: 7.940e-02, eta: 2 days, 20:43:18, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5331, loss_cls: 6.8802, loss: 6.8802 2023-12-30 16:53:18,209 - pyskl - INFO - Saving checkpoint at 45 epochs 2023-12-30 16:55:18,414 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 16:55:19,478 - pyskl - INFO - top1_acc 0.1995 top5_acc 0.4278 2023-12-30 16:55:19,478 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 16:55:19,516 - pyskl - INFO - mean_acc 0.1996 2023-12-30 16:55:19,526 - pyskl - INFO - Epoch(val) [45][309] top1_acc: 0.1995, top5_acc: 0.4278, mean_class_accuracy: 0.1996 2023-12-30 16:58:47,147 - pyskl - INFO - Epoch [46][100/3746] lr: 7.937e-02, eta: 2 days, 20:46:16, time: 2.076, data_time: 1.482, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5398, loss_cls: 6.7809, loss: 6.7809 2023-12-30 16:59:47,160 - pyskl - INFO - Epoch [46][200/3746] lr: 7.934e-02, eta: 2 days, 20:45:06, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5361, loss_cls: 6.8235, loss: 6.8235 2023-12-30 17:00:46,755 - pyskl - INFO - Epoch [46][300/3746] lr: 7.932e-02, eta: 2 days, 20:43:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2897, top5_acc: 0.5469, loss_cls: 6.7715, loss: 6.7715 2023-12-30 17:01:47,109 - pyskl - INFO - Epoch [46][400/3746] lr: 7.930e-02, eta: 2 days, 20:42:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5414, loss_cls: 6.8318, loss: 6.8318 2023-12-30 17:02:47,037 - pyskl - INFO - Epoch [46][500/3746] lr: 7.928e-02, eta: 2 days, 20:41:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2881, top5_acc: 0.5409, loss_cls: 6.8220, loss: 6.8220 2023-12-30 17:03:47,316 - pyskl - INFO - Epoch [46][600/3746] lr: 7.925e-02, eta: 2 days, 20:40:28, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5311, loss_cls: 6.8538, loss: 6.8538 2023-12-30 17:04:46,876 - pyskl - INFO - Epoch [46][700/3746] lr: 7.923e-02, eta: 2 days, 20:39:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5267, loss_cls: 6.8869, loss: 6.8869 2023-12-30 17:05:46,520 - pyskl - INFO - Epoch [46][800/3746] lr: 7.921e-02, eta: 2 days, 20:38:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5411, loss_cls: 6.8195, loss: 6.8195 2023-12-30 17:06:46,066 - pyskl - INFO - Epoch [46][900/3746] lr: 7.919e-02, eta: 2 days, 20:36:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5345, loss_cls: 6.8360, loss: 6.8360 2023-12-30 17:07:45,630 - pyskl - INFO - Epoch [46][1000/3746] lr: 7.916e-02, eta: 2 days, 20:35:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5356, loss_cls: 6.8274, loss: 6.8274 2023-12-30 17:08:45,201 - pyskl - INFO - Epoch [46][1100/3746] lr: 7.914e-02, eta: 2 days, 20:34:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5295, loss_cls: 6.8797, loss: 6.8797 2023-12-30 17:09:44,773 - pyskl - INFO - Epoch [46][1200/3746] lr: 7.912e-02, eta: 2 days, 20:33:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5181, loss_cls: 6.9096, loss: 6.9096 2023-12-30 17:10:44,502 - pyskl - INFO - Epoch [46][1300/3746] lr: 7.909e-02, eta: 2 days, 20:32:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5436, loss_cls: 6.8102, loss: 6.8102 2023-12-30 17:11:44,127 - pyskl - INFO - Epoch [46][1400/3746] lr: 7.907e-02, eta: 2 days, 20:31:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5416, loss_cls: 6.8245, loss: 6.8245 2023-12-30 17:12:43,974 - pyskl - INFO - Epoch [46][1500/3746] lr: 7.905e-02, eta: 2 days, 20:29:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5323, loss_cls: 6.8676, loss: 6.8676 2023-12-30 17:13:43,748 - pyskl - INFO - Epoch [46][1600/3746] lr: 7.903e-02, eta: 2 days, 20:28:42, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5337, loss_cls: 6.8585, loss: 6.8585 2023-12-30 17:14:44,054 - pyskl - INFO - Epoch [46][1700/3746] lr: 7.900e-02, eta: 2 days, 20:27:33, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5331, loss_cls: 6.8791, loss: 6.8791 2023-12-30 17:15:43,890 - pyskl - INFO - Epoch [46][1800/3746] lr: 7.898e-02, eta: 2 days, 20:26:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2855, top5_acc: 0.5378, loss_cls: 6.8362, loss: 6.8362 2023-12-30 17:16:43,322 - pyskl - INFO - Epoch [46][1900/3746] lr: 7.896e-02, eta: 2 days, 20:25:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5378, loss_cls: 6.8347, loss: 6.8347 2023-12-30 17:17:42,531 - pyskl - INFO - Epoch [46][2000/3746] lr: 7.894e-02, eta: 2 days, 20:24:00, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2884, top5_acc: 0.5369, loss_cls: 6.8441, loss: 6.8441 2023-12-30 17:18:42,400 - pyskl - INFO - Epoch [46][2100/3746] lr: 7.891e-02, eta: 2 days, 20:22:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5266, loss_cls: 6.8930, loss: 6.8930 2023-12-30 17:19:42,232 - pyskl - INFO - Epoch [46][2200/3746] lr: 7.889e-02, eta: 2 days, 20:21:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5256, loss_cls: 6.8731, loss: 6.8731 2023-12-30 17:20:42,655 - pyskl - INFO - Epoch [46][2300/3746] lr: 7.887e-02, eta: 2 days, 20:20:32, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5288, loss_cls: 6.8828, loss: 6.8828 2023-12-30 17:21:42,239 - pyskl - INFO - Epoch [46][2400/3746] lr: 7.884e-02, eta: 2 days, 20:19:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5233, loss_cls: 6.8970, loss: 6.8970 2023-12-30 17:22:41,899 - pyskl - INFO - Epoch [46][2500/3746] lr: 7.882e-02, eta: 2 days, 20:18:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5359, loss_cls: 6.8441, loss: 6.8441 2023-12-30 17:23:41,534 - pyskl - INFO - Epoch [46][2600/3746] lr: 7.880e-02, eta: 2 days, 20:17:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5384, loss_cls: 6.8290, loss: 6.8290 2023-12-30 17:24:41,549 - pyskl - INFO - Epoch [46][2700/3746] lr: 7.878e-02, eta: 2 days, 20:15:51, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5262, loss_cls: 6.8850, loss: 6.8850 2023-12-30 17:25:41,422 - pyskl - INFO - Epoch [46][2800/3746] lr: 7.875e-02, eta: 2 days, 20:14:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5403, loss_cls: 6.8177, loss: 6.8177 2023-12-30 17:26:40,672 - pyskl - INFO - Epoch [46][2900/3746] lr: 7.873e-02, eta: 2 days, 20:13:30, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5392, loss_cls: 6.8196, loss: 6.8196 2023-12-30 17:27:40,368 - pyskl - INFO - Epoch [46][3000/3746] lr: 7.871e-02, eta: 2 days, 20:12:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5347, loss_cls: 6.8757, loss: 6.8757 2023-12-30 17:28:40,339 - pyskl - INFO - Epoch [46][3100/3746] lr: 7.868e-02, eta: 2 days, 20:11:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5300, loss_cls: 6.8595, loss: 6.8595 2023-12-30 17:29:39,854 - pyskl - INFO - Epoch [46][3200/3746] lr: 7.866e-02, eta: 2 days, 20:10:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5305, loss_cls: 6.8544, loss: 6.8544 2023-12-30 17:30:39,925 - pyskl - INFO - Epoch [46][3300/3746] lr: 7.864e-02, eta: 2 days, 20:08:50, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5320, loss_cls: 6.8641, loss: 6.8641 2023-12-30 17:31:39,647 - pyskl - INFO - Epoch [46][3400/3746] lr: 7.862e-02, eta: 2 days, 20:07:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5330, loss_cls: 6.8754, loss: 6.8754 2023-12-30 17:32:39,908 - pyskl - INFO - Epoch [46][3500/3746] lr: 7.859e-02, eta: 2 days, 20:06:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2992, top5_acc: 0.5445, loss_cls: 6.8312, loss: 6.8312 2023-12-30 17:33:39,560 - pyskl - INFO - Epoch [46][3600/3746] lr: 7.857e-02, eta: 2 days, 20:05:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5306, loss_cls: 6.8496, loss: 6.8496 2023-12-30 17:34:39,304 - pyskl - INFO - Epoch [46][3700/3746] lr: 7.855e-02, eta: 2 days, 20:04:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5252, loss_cls: 6.8714, loss: 6.8714 2023-12-30 17:35:10,131 - pyskl - INFO - Saving checkpoint at 46 epochs 2023-12-30 17:37:12,970 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 17:37:14,018 - pyskl - INFO - top1_acc 0.1972 top5_acc 0.4286 2023-12-30 17:37:14,018 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 17:37:14,091 - pyskl - INFO - mean_acc 0.1973 2023-12-30 17:37:14,111 - pyskl - INFO - Epoch(val) [46][309] top1_acc: 0.1972, top5_acc: 0.4286, mean_class_accuracy: 0.1973 2023-12-30 17:40:34,599 - pyskl - INFO - Epoch [47][100/3746] lr: 7.851e-02, eta: 2 days, 20:06:45, time: 2.005, data_time: 1.407, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5463, loss_cls: 6.7867, loss: 6.7867 2023-12-30 17:41:34,829 - pyskl - INFO - Epoch [47][200/3746] lr: 7.849e-02, eta: 2 days, 20:05:35, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2828, top5_acc: 0.5419, loss_cls: 6.8069, loss: 6.8069 2023-12-30 17:42:34,987 - pyskl - INFO - Epoch [47][300/3746] lr: 7.847e-02, eta: 2 days, 20:04:26, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5403, loss_cls: 6.8005, loss: 6.8005 2023-12-30 17:43:35,044 - pyskl - INFO - Epoch [47][400/3746] lr: 7.844e-02, eta: 2 days, 20:03:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5417, loss_cls: 6.8010, loss: 6.8010 2023-12-30 17:44:35,554 - pyskl - INFO - Epoch [47][500/3746] lr: 7.842e-02, eta: 2 days, 20:02:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5283, loss_cls: 6.8591, loss: 6.8591 2023-12-30 17:45:36,001 - pyskl - INFO - Epoch [47][600/3746] lr: 7.840e-02, eta: 2 days, 20:01:00, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5269, loss_cls: 6.8431, loss: 6.8431 2023-12-30 17:46:35,782 - pyskl - INFO - Epoch [47][700/3746] lr: 7.838e-02, eta: 2 days, 19:59:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5350, loss_cls: 6.8609, loss: 6.8609 2023-12-30 17:47:35,188 - pyskl - INFO - Epoch [47][800/3746] lr: 7.835e-02, eta: 2 days, 19:58:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5359, loss_cls: 6.8101, loss: 6.8101 2023-12-30 17:48:34,648 - pyskl - INFO - Epoch [47][900/3746] lr: 7.833e-02, eta: 2 days, 19:57:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5327, loss_cls: 6.8178, loss: 6.8178 2023-12-30 17:49:34,287 - pyskl - INFO - Epoch [47][1000/3746] lr: 7.831e-02, eta: 2 days, 19:56:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2881, top5_acc: 0.5409, loss_cls: 6.8244, loss: 6.8244 2023-12-30 17:50:33,838 - pyskl - INFO - Epoch [47][1100/3746] lr: 7.828e-02, eta: 2 days, 19:55:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5339, loss_cls: 6.8231, loss: 6.8231 2023-12-30 17:51:34,430 - pyskl - INFO - Epoch [47][1200/3746] lr: 7.826e-02, eta: 2 days, 19:53:59, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5277, loss_cls: 6.8736, loss: 6.8736 2023-12-30 17:52:34,943 - pyskl - INFO - Epoch [47][1300/3746] lr: 7.824e-02, eta: 2 days, 19:52:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5436, loss_cls: 6.7844, loss: 6.7844 2023-12-30 17:53:34,394 - pyskl - INFO - Epoch [47][1400/3746] lr: 7.821e-02, eta: 2 days, 19:51:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5242, loss_cls: 6.8912, loss: 6.8912 2023-12-30 17:54:33,830 - pyskl - INFO - Epoch [47][1500/3746] lr: 7.819e-02, eta: 2 days, 19:50:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5262, loss_cls: 6.8829, loss: 6.8829 2023-12-30 17:55:34,639 - pyskl - INFO - Epoch [47][1600/3746] lr: 7.817e-02, eta: 2 days, 19:49:21, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5309, loss_cls: 6.8617, loss: 6.8617 2023-12-30 17:56:34,777 - pyskl - INFO - Epoch [47][1700/3746] lr: 7.814e-02, eta: 2 days, 19:48:12, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5327, loss_cls: 6.8801, loss: 6.8801 2023-12-30 17:57:35,373 - pyskl - INFO - Epoch [47][1800/3746] lr: 7.812e-02, eta: 2 days, 19:47:04, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5273, loss_cls: 6.8506, loss: 6.8506 2023-12-30 17:58:35,137 - pyskl - INFO - Epoch [47][1900/3746] lr: 7.810e-02, eta: 2 days, 19:45:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5398, loss_cls: 6.8559, loss: 6.8559 2023-12-30 17:59:35,291 - pyskl - INFO - Epoch [47][2000/3746] lr: 7.808e-02, eta: 2 days, 19:44:45, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5373, loss_cls: 6.8308, loss: 6.8308 2023-12-30 18:00:34,852 - pyskl - INFO - Epoch [47][2100/3746] lr: 7.805e-02, eta: 2 days, 19:43:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5431, loss_cls: 6.8103, loss: 6.8103 2023-12-30 18:01:34,722 - pyskl - INFO - Epoch [47][2200/3746] lr: 7.803e-02, eta: 2 days, 19:42:25, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2866, top5_acc: 0.5384, loss_cls: 6.8453, loss: 6.8453 2023-12-30 18:02:35,553 - pyskl - INFO - Epoch [47][2300/3746] lr: 7.801e-02, eta: 2 days, 19:41:17, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5289, loss_cls: 6.8562, loss: 6.8562 2023-12-30 18:03:36,151 - pyskl - INFO - Epoch [47][2400/3746] lr: 7.798e-02, eta: 2 days, 19:40:09, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5463, loss_cls: 6.8368, loss: 6.8368 2023-12-30 18:04:36,321 - pyskl - INFO - Epoch [47][2500/3746] lr: 7.796e-02, eta: 2 days, 19:39:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5166, loss_cls: 6.9087, loss: 6.9087 2023-12-30 18:05:36,608 - pyskl - INFO - Epoch [47][2600/3746] lr: 7.794e-02, eta: 2 days, 19:37:52, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5289, loss_cls: 6.8645, loss: 6.8645 2023-12-30 18:06:36,209 - pyskl - INFO - Epoch [47][2700/3746] lr: 7.791e-02, eta: 2 days, 19:36:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5325, loss_cls: 6.8418, loss: 6.8418 2023-12-30 18:07:35,860 - pyskl - INFO - Epoch [47][2800/3746] lr: 7.789e-02, eta: 2 days, 19:35:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5281, loss_cls: 6.8914, loss: 6.8914 2023-12-30 18:08:35,579 - pyskl - INFO - Epoch [47][2900/3746] lr: 7.787e-02, eta: 2 days, 19:34:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5363, loss_cls: 6.8259, loss: 6.8259 2023-12-30 18:09:34,985 - pyskl - INFO - Epoch [47][3000/3746] lr: 7.784e-02, eta: 2 days, 19:33:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5361, loss_cls: 6.8503, loss: 6.8503 2023-12-30 18:10:34,484 - pyskl - INFO - Epoch [47][3100/3746] lr: 7.782e-02, eta: 2 days, 19:32:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5323, loss_cls: 6.8642, loss: 6.8642 2023-12-30 18:11:34,049 - pyskl - INFO - Epoch [47][3200/3746] lr: 7.780e-02, eta: 2 days, 19:30:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5303, loss_cls: 6.8843, loss: 6.8843 2023-12-30 18:12:33,402 - pyskl - INFO - Epoch [47][3300/3746] lr: 7.777e-02, eta: 2 days, 19:29:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5248, loss_cls: 6.8739, loss: 6.8739 2023-12-30 18:13:33,431 - pyskl - INFO - Epoch [47][3400/3746] lr: 7.775e-02, eta: 2 days, 19:28:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5453, loss_cls: 6.8019, loss: 6.8019 2023-12-30 18:14:33,566 - pyskl - INFO - Epoch [47][3500/3746] lr: 7.773e-02, eta: 2 days, 19:27:21, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5308, loss_cls: 6.8565, loss: 6.8565 2023-12-30 18:15:34,257 - pyskl - INFO - Epoch [47][3600/3746] lr: 7.770e-02, eta: 2 days, 19:26:13, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5377, loss_cls: 6.8185, loss: 6.8185 2023-12-30 18:16:34,612 - pyskl - INFO - Epoch [47][3700/3746] lr: 7.768e-02, eta: 2 days, 19:25:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5309, loss_cls: 6.8764, loss: 6.8764 2023-12-30 18:17:05,398 - pyskl - INFO - Saving checkpoint at 47 epochs 2023-12-30 18:19:03,259 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 18:19:04,067 - pyskl - INFO - top1_acc 0.2151 top5_acc 0.4490 2023-12-30 18:19:04,067 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 18:19:04,099 - pyskl - INFO - mean_acc 0.2148 2023-12-30 18:19:04,104 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_33.pth was removed 2023-12-30 18:19:04,341 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. 2023-12-30 18:19:04,341 - pyskl - INFO - Best top1_acc is 0.2151 at 47 epoch. 2023-12-30 18:19:04,349 - pyskl - INFO - Epoch(val) [47][309] top1_acc: 0.2151, top5_acc: 0.4490, mean_class_accuracy: 0.2148 2023-12-30 18:22:18,628 - pyskl - INFO - Epoch [48][100/3746] lr: 7.765e-02, eta: 2 days, 19:27:17, time: 1.943, data_time: 1.347, memory: 16177, top1_acc: 0.2928, top5_acc: 0.5389, loss_cls: 6.8060, loss: 6.8060 2023-12-30 18:23:18,439 - pyskl - INFO - Epoch [48][200/3746] lr: 7.762e-02, eta: 2 days, 19:26:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5392, loss_cls: 6.7888, loss: 6.7888 2023-12-30 18:24:18,622 - pyskl - INFO - Epoch [48][300/3746] lr: 7.760e-02, eta: 2 days, 19:24:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5358, loss_cls: 6.8343, loss: 6.8343 2023-12-30 18:25:18,168 - pyskl - INFO - Epoch [48][400/3746] lr: 7.758e-02, eta: 2 days, 19:23:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5394, loss_cls: 6.8288, loss: 6.8288 2023-12-30 18:26:17,950 - pyskl - INFO - Epoch [48][500/3746] lr: 7.755e-02, eta: 2 days, 19:22:38, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5400, loss_cls: 6.8361, loss: 6.8361 2023-12-30 18:27:18,679 - pyskl - INFO - Epoch [48][600/3746] lr: 7.753e-02, eta: 2 days, 19:21:30, time: 0.607, data_time: 0.001, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5481, loss_cls: 6.8003, loss: 6.8003 2023-12-30 18:28:18,596 - pyskl - INFO - Epoch [48][700/3746] lr: 7.751e-02, eta: 2 days, 19:20:21, time: 0.599, data_time: 0.001, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5409, loss_cls: 6.8155, loss: 6.8155 2023-12-30 18:29:17,937 - pyskl - INFO - Epoch [48][800/3746] lr: 7.748e-02, eta: 2 days, 19:19:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5389, loss_cls: 6.8431, loss: 6.8431 2023-12-30 18:30:17,364 - pyskl - INFO - Epoch [48][900/3746] lr: 7.746e-02, eta: 2 days, 19:17:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5255, loss_cls: 6.8831, loss: 6.8831 2023-12-30 18:31:16,916 - pyskl - INFO - Epoch [48][1000/3746] lr: 7.744e-02, eta: 2 days, 19:16:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5298, loss_cls: 6.8582, loss: 6.8582 2023-12-30 18:32:16,482 - pyskl - INFO - Epoch [48][1100/3746] lr: 7.741e-02, eta: 2 days, 19:15:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2911, top5_acc: 0.5478, loss_cls: 6.8066, loss: 6.8066 2023-12-30 18:33:16,192 - pyskl - INFO - Epoch [48][1200/3746] lr: 7.739e-02, eta: 2 days, 19:14:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5414, loss_cls: 6.8385, loss: 6.8385 2023-12-30 18:34:15,896 - pyskl - INFO - Epoch [48][1300/3746] lr: 7.737e-02, eta: 2 days, 19:13:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5298, loss_cls: 6.8582, loss: 6.8582 2023-12-30 18:35:15,348 - pyskl - INFO - Epoch [48][1400/3746] lr: 7.734e-02, eta: 2 days, 19:12:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5373, loss_cls: 6.8025, loss: 6.8025 2023-12-30 18:36:14,861 - pyskl - INFO - Epoch [48][1500/3746] lr: 7.732e-02, eta: 2 days, 19:10:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5377, loss_cls: 6.8287, loss: 6.8287 2023-12-30 18:37:14,324 - pyskl - INFO - Epoch [48][1600/3746] lr: 7.730e-02, eta: 2 days, 19:09:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5369, loss_cls: 6.8201, loss: 6.8201 2023-12-30 18:38:14,195 - pyskl - INFO - Epoch [48][1700/3746] lr: 7.727e-02, eta: 2 days, 19:08:38, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5361, loss_cls: 6.8419, loss: 6.8419 2023-12-30 18:39:14,373 - pyskl - INFO - Epoch [48][1800/3746] lr: 7.725e-02, eta: 2 days, 19:07:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5353, loss_cls: 6.8493, loss: 6.8493 2023-12-30 18:40:14,039 - pyskl - INFO - Epoch [48][1900/3746] lr: 7.723e-02, eta: 2 days, 19:06:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5353, loss_cls: 6.8218, loss: 6.8218 2023-12-30 18:41:13,862 - pyskl - INFO - Epoch [48][2000/3746] lr: 7.720e-02, eta: 2 days, 19:05:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5377, loss_cls: 6.8449, loss: 6.8449 2023-12-30 18:42:13,834 - pyskl - INFO - Epoch [48][2100/3746] lr: 7.718e-02, eta: 2 days, 19:04:01, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5252, loss_cls: 6.8548, loss: 6.8548 2023-12-30 18:43:13,303 - pyskl - INFO - Epoch [48][2200/3746] lr: 7.716e-02, eta: 2 days, 19:02:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5394, loss_cls: 6.8417, loss: 6.8417 2023-12-30 18:44:12,771 - pyskl - INFO - Epoch [48][2300/3746] lr: 7.713e-02, eta: 2 days, 19:01:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5458, loss_cls: 6.8157, loss: 6.8157 2023-12-30 18:45:12,135 - pyskl - INFO - Epoch [48][2400/3746] lr: 7.711e-02, eta: 2 days, 19:00:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5330, loss_cls: 6.8536, loss: 6.8536 2023-12-30 18:46:11,702 - pyskl - INFO - Epoch [48][2500/3746] lr: 7.709e-02, eta: 2 days, 18:59:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5275, loss_cls: 6.8613, loss: 6.8613 2023-12-30 18:47:11,041 - pyskl - INFO - Epoch [48][2600/3746] lr: 7.706e-02, eta: 2 days, 18:58:09, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5369, loss_cls: 6.8568, loss: 6.8568 2023-12-30 18:48:11,096 - pyskl - INFO - Epoch [48][2700/3746] lr: 7.704e-02, eta: 2 days, 18:57:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5336, loss_cls: 6.8220, loss: 6.8220 2023-12-30 18:49:10,823 - pyskl - INFO - Epoch [48][2800/3746] lr: 7.701e-02, eta: 2 days, 18:55:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5405, loss_cls: 6.8159, loss: 6.8159 2023-12-30 18:50:10,288 - pyskl - INFO - Epoch [48][2900/3746] lr: 7.699e-02, eta: 2 days, 18:54:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5347, loss_cls: 6.9031, loss: 6.9031 2023-12-30 18:51:09,860 - pyskl - INFO - Epoch [48][3000/3746] lr: 7.697e-02, eta: 2 days, 18:53:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5431, loss_cls: 6.7899, loss: 6.7899 2023-12-30 18:52:10,292 - pyskl - INFO - Epoch [48][3100/3746] lr: 7.694e-02, eta: 2 days, 18:52:21, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5291, loss_cls: 6.8897, loss: 6.8897 2023-12-30 18:53:10,612 - pyskl - INFO - Epoch [48][3200/3746] lr: 7.692e-02, eta: 2 days, 18:51:13, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5275, loss_cls: 6.8386, loss: 6.8386 2023-12-30 18:54:10,288 - pyskl - INFO - Epoch [48][3300/3746] lr: 7.690e-02, eta: 2 days, 18:50:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5341, loss_cls: 6.8499, loss: 6.8499 2023-12-30 18:55:09,530 - pyskl - INFO - Epoch [48][3400/3746] lr: 7.687e-02, eta: 2 days, 18:48:53, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2927, top5_acc: 0.5381, loss_cls: 6.8515, loss: 6.8515 2023-12-30 18:56:08,832 - pyskl - INFO - Epoch [48][3500/3746] lr: 7.685e-02, eta: 2 days, 18:47:42, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2822, top5_acc: 0.5289, loss_cls: 6.8468, loss: 6.8468 2023-12-30 18:57:08,422 - pyskl - INFO - Epoch [48][3600/3746] lr: 7.683e-02, eta: 2 days, 18:46:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5436, loss_cls: 6.8193, loss: 6.8193 2023-12-30 18:58:07,540 - pyskl - INFO - Epoch [48][3700/3746] lr: 7.680e-02, eta: 2 days, 18:45:21, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5316, loss_cls: 6.8559, loss: 6.8559 2023-12-30 18:58:37,605 - pyskl - INFO - Saving checkpoint at 48 epochs 2023-12-30 19:00:37,768 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 19:00:38,551 - pyskl - INFO - top1_acc 0.2150 top5_acc 0.4520 2023-12-30 19:00:38,551 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 19:00:38,584 - pyskl - INFO - mean_acc 0.2149 2023-12-30 19:00:38,592 - pyskl - INFO - Epoch(val) [48][309] top1_acc: 0.2150, top5_acc: 0.4520, mean_class_accuracy: 0.2149 2023-12-30 19:03:58,912 - pyskl - INFO - Epoch [49][100/3746] lr: 7.677e-02, eta: 2 days, 18:47:40, time: 2.003, data_time: 1.409, memory: 16177, top1_acc: 0.2963, top5_acc: 0.5389, loss_cls: 6.8174, loss: 6.8174 2023-12-30 19:04:58,779 - pyskl - INFO - Epoch [49][200/3746] lr: 7.674e-02, eta: 2 days, 18:46:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5414, loss_cls: 6.8112, loss: 6.8112 2023-12-30 19:05:59,249 - pyskl - INFO - Epoch [49][300/3746] lr: 7.672e-02, eta: 2 days, 18:45:22, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5391, loss_cls: 6.8337, loss: 6.8337 2023-12-30 19:06:58,804 - pyskl - INFO - Epoch [49][400/3746] lr: 7.670e-02, eta: 2 days, 18:44:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5408, loss_cls: 6.8185, loss: 6.8185 2023-12-30 19:07:59,074 - pyskl - INFO - Epoch [49][500/3746] lr: 7.667e-02, eta: 2 days, 18:43:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5459, loss_cls: 6.7854, loss: 6.7854 2023-12-30 19:08:59,760 - pyskl - INFO - Epoch [49][600/3746] lr: 7.665e-02, eta: 2 days, 18:41:56, time: 0.607, data_time: 0.001, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5270, loss_cls: 6.8488, loss: 6.8488 2023-12-30 19:09:59,688 - pyskl - INFO - Epoch [49][700/3746] lr: 7.663e-02, eta: 2 days, 18:40:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5358, loss_cls: 6.8467, loss: 6.8467 2023-12-30 19:10:59,252 - pyskl - INFO - Epoch [49][800/3746] lr: 7.660e-02, eta: 2 days, 18:39:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2875, top5_acc: 0.5342, loss_cls: 6.8413, loss: 6.8413 2023-12-30 19:11:58,851 - pyskl - INFO - Epoch [49][900/3746] lr: 7.658e-02, eta: 2 days, 18:38:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5511, loss_cls: 6.7661, loss: 6.7661 2023-12-30 19:12:58,431 - pyskl - INFO - Epoch [49][1000/3746] lr: 7.656e-02, eta: 2 days, 18:37:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5394, loss_cls: 6.8349, loss: 6.8349 2023-12-30 19:13:57,956 - pyskl - INFO - Epoch [49][1100/3746] lr: 7.653e-02, eta: 2 days, 18:36:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5319, loss_cls: 6.8281, loss: 6.8281 2023-12-30 19:14:57,583 - pyskl - INFO - Epoch [49][1200/3746] lr: 7.651e-02, eta: 2 days, 18:34:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5384, loss_cls: 6.8277, loss: 6.8277 2023-12-30 19:15:57,128 - pyskl - INFO - Epoch [49][1300/3746] lr: 7.648e-02, eta: 2 days, 18:33:46, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5450, loss_cls: 6.8248, loss: 6.8248 2023-12-30 19:16:56,836 - pyskl - INFO - Epoch [49][1400/3746] lr: 7.646e-02, eta: 2 days, 18:32:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5370, loss_cls: 6.8480, loss: 6.8480 2023-12-30 19:17:56,632 - pyskl - INFO - Epoch [49][1500/3746] lr: 7.644e-02, eta: 2 days, 18:31:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2905, top5_acc: 0.5377, loss_cls: 6.8209, loss: 6.8209 2023-12-30 19:18:56,209 - pyskl - INFO - Epoch [49][1600/3746] lr: 7.641e-02, eta: 2 days, 18:30:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5320, loss_cls: 6.8426, loss: 6.8426 2023-12-30 19:19:55,799 - pyskl - INFO - Epoch [49][1700/3746] lr: 7.639e-02, eta: 2 days, 18:29:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5356, loss_cls: 6.8563, loss: 6.8563 2023-12-30 19:20:56,129 - pyskl - INFO - Epoch [49][1800/3746] lr: 7.637e-02, eta: 2 days, 18:27:59, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5380, loss_cls: 6.8371, loss: 6.8371 2023-12-30 19:21:56,272 - pyskl - INFO - Epoch [49][1900/3746] lr: 7.634e-02, eta: 2 days, 18:26:50, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5458, loss_cls: 6.8005, loss: 6.8005 2023-12-30 19:22:55,825 - pyskl - INFO - Epoch [49][2000/3746] lr: 7.632e-02, eta: 2 days, 18:25:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5300, loss_cls: 6.8622, loss: 6.8622 2023-12-30 19:23:55,353 - pyskl - INFO - Epoch [49][2100/3746] lr: 7.629e-02, eta: 2 days, 18:24:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5339, loss_cls: 6.8260, loss: 6.8260 2023-12-30 19:24:55,073 - pyskl - INFO - Epoch [49][2200/3746] lr: 7.627e-02, eta: 2 days, 18:23:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5266, loss_cls: 6.8605, loss: 6.8605 2023-12-30 19:25:54,645 - pyskl - INFO - Epoch [49][2300/3746] lr: 7.625e-02, eta: 2 days, 18:22:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5444, loss_cls: 6.8214, loss: 6.8214 2023-12-30 19:26:53,960 - pyskl - INFO - Epoch [49][2400/3746] lr: 7.622e-02, eta: 2 days, 18:21:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5356, loss_cls: 6.8310, loss: 6.8310 2023-12-30 19:27:53,748 - pyskl - INFO - Epoch [49][2500/3746] lr: 7.620e-02, eta: 2 days, 18:19:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5392, loss_cls: 6.8155, loss: 6.8155 2023-12-30 19:28:53,146 - pyskl - INFO - Epoch [49][2600/3746] lr: 7.618e-02, eta: 2 days, 18:18:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5386, loss_cls: 6.8388, loss: 6.8388 2023-12-30 19:29:52,634 - pyskl - INFO - Epoch [49][2700/3746] lr: 7.615e-02, eta: 2 days, 18:17:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5325, loss_cls: 6.8396, loss: 6.8396 2023-12-30 19:30:52,467 - pyskl - INFO - Epoch [49][2800/3746] lr: 7.613e-02, eta: 2 days, 18:16:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5369, loss_cls: 6.8462, loss: 6.8462 2023-12-30 19:31:53,089 - pyskl - INFO - Epoch [49][2900/3746] lr: 7.610e-02, eta: 2 days, 18:15:14, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5284, loss_cls: 6.8294, loss: 6.8294 2023-12-30 19:32:53,521 - pyskl - INFO - Epoch [49][3000/3746] lr: 7.608e-02, eta: 2 days, 18:14:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2822, top5_acc: 0.5294, loss_cls: 6.8393, loss: 6.8393 2023-12-30 19:33:53,273 - pyskl - INFO - Epoch [49][3100/3746] lr: 7.606e-02, eta: 2 days, 18:12:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5333, loss_cls: 6.8480, loss: 6.8480 2023-12-30 19:34:52,690 - pyskl - INFO - Epoch [49][3200/3746] lr: 7.603e-02, eta: 2 days, 18:11:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5491, loss_cls: 6.7983, loss: 6.7983 2023-12-30 19:35:52,503 - pyskl - INFO - Epoch [49][3300/3746] lr: 7.601e-02, eta: 2 days, 18:10:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5284, loss_cls: 6.8632, loss: 6.8632 2023-12-30 19:36:52,920 - pyskl - INFO - Epoch [49][3400/3746] lr: 7.598e-02, eta: 2 days, 18:09:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5348, loss_cls: 6.8424, loss: 6.8424 2023-12-30 19:37:53,142 - pyskl - INFO - Epoch [49][3500/3746] lr: 7.596e-02, eta: 2 days, 18:08:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5336, loss_cls: 6.8184, loss: 6.8184 2023-12-30 19:38:53,708 - pyskl - INFO - Epoch [49][3600/3746] lr: 7.594e-02, eta: 2 days, 18:07:13, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5306, loss_cls: 6.8835, loss: 6.8835 2023-12-30 19:39:53,843 - pyskl - INFO - Epoch [49][3700/3746] lr: 7.591e-02, eta: 2 days, 18:06:04, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2866, top5_acc: 0.5348, loss_cls: 6.8177, loss: 6.8177 2023-12-30 19:40:23,967 - pyskl - INFO - Saving checkpoint at 49 epochs 2023-12-30 19:42:24,654 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 19:42:25,763 - pyskl - INFO - top1_acc 0.2154 top5_acc 0.4517 2023-12-30 19:42:25,764 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 19:42:25,872 - pyskl - INFO - mean_acc 0.2151 2023-12-30 19:42:25,879 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_47.pth was removed 2023-12-30 19:42:26,202 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth. 2023-12-30 19:42:26,202 - pyskl - INFO - Best top1_acc is 0.2154 at 49 epoch. 2023-12-30 19:42:26,227 - pyskl - INFO - Epoch(val) [49][309] top1_acc: 0.2154, top5_acc: 0.4517, mean_class_accuracy: 0.2151 2023-12-30 19:45:54,350 - pyskl - INFO - Epoch [50][100/3746] lr: 7.588e-02, eta: 2 days, 18:08:32, time: 2.081, data_time: 1.488, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5419, loss_cls: 6.7980, loss: 6.7980 2023-12-30 19:46:54,104 - pyskl - INFO - Epoch [50][200/3746] lr: 7.585e-02, eta: 2 days, 18:07:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5497, loss_cls: 6.7594, loss: 6.7594 2023-12-30 19:47:53,940 - pyskl - INFO - Epoch [50][300/3746] lr: 7.583e-02, eta: 2 days, 18:06:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5361, loss_cls: 6.8618, loss: 6.8618 2023-12-30 19:48:53,360 - pyskl - INFO - Epoch [50][400/3746] lr: 7.581e-02, eta: 2 days, 18:05:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5427, loss_cls: 6.8018, loss: 6.8018 2023-12-30 19:49:53,242 - pyskl - INFO - Epoch [50][500/3746] lr: 7.578e-02, eta: 2 days, 18:03:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5411, loss_cls: 6.8170, loss: 6.8170 2023-12-30 19:50:53,496 - pyskl - INFO - Epoch [50][600/3746] lr: 7.576e-02, eta: 2 days, 18:02:45, time: 0.603, data_time: 0.001, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5314, loss_cls: 6.8585, loss: 6.8585 2023-12-30 19:51:53,807 - pyskl - INFO - Epoch [50][700/3746] lr: 7.573e-02, eta: 2 days, 18:01:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5392, loss_cls: 6.7857, loss: 6.7857 2023-12-30 19:52:53,338 - pyskl - INFO - Epoch [50][800/3746] lr: 7.571e-02, eta: 2 days, 18:00:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5525, loss_cls: 6.7859, loss: 6.7859 2023-12-30 19:53:53,036 - pyskl - INFO - Epoch [50][900/3746] lr: 7.569e-02, eta: 2 days, 17:59:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2766, top5_acc: 0.5341, loss_cls: 6.8616, loss: 6.8616 2023-12-30 19:54:52,517 - pyskl - INFO - Epoch [50][1000/3746] lr: 7.566e-02, eta: 2 days, 17:58:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5467, loss_cls: 6.7767, loss: 6.7767 2023-12-30 19:55:51,945 - pyskl - INFO - Epoch [50][1100/3746] lr: 7.564e-02, eta: 2 days, 17:56:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5431, loss_cls: 6.7949, loss: 6.7949 2023-12-30 19:56:51,523 - pyskl - INFO - Epoch [50][1200/3746] lr: 7.561e-02, eta: 2 days, 17:55:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5366, loss_cls: 6.8323, loss: 6.8323 2023-12-30 19:57:50,766 - pyskl - INFO - Epoch [50][1300/3746] lr: 7.559e-02, eta: 2 days, 17:54:37, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5273, loss_cls: 6.8717, loss: 6.8717 2023-12-30 19:58:50,032 - pyskl - INFO - Epoch [50][1400/3746] lr: 7.557e-02, eta: 2 days, 17:53:26, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5408, loss_cls: 6.7978, loss: 6.7978 2023-12-30 19:59:49,396 - pyskl - INFO - Epoch [50][1500/3746] lr: 7.554e-02, eta: 2 days, 17:52:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5406, loss_cls: 6.8127, loss: 6.8127 2023-12-30 20:00:49,129 - pyskl - INFO - Epoch [50][1600/3746] lr: 7.552e-02, eta: 2 days, 17:51:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5316, loss_cls: 6.8443, loss: 6.8443 2023-12-30 20:01:48,602 - pyskl - INFO - Epoch [50][1700/3746] lr: 7.549e-02, eta: 2 days, 17:49:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5305, loss_cls: 6.8564, loss: 6.8564 2023-12-30 20:02:48,656 - pyskl - INFO - Epoch [50][1800/3746] lr: 7.547e-02, eta: 2 days, 17:48:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2822, top5_acc: 0.5298, loss_cls: 6.8515, loss: 6.8515 2023-12-30 20:03:48,885 - pyskl - INFO - Epoch [50][1900/3746] lr: 7.545e-02, eta: 2 days, 17:47:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5267, loss_cls: 6.8777, loss: 6.8777 2023-12-30 20:04:48,478 - pyskl - INFO - Epoch [50][2000/3746] lr: 7.542e-02, eta: 2 days, 17:46:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5420, loss_cls: 6.8032, loss: 6.8032 2023-12-30 20:05:47,969 - pyskl - INFO - Epoch [50][2100/3746] lr: 7.540e-02, eta: 2 days, 17:45:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2822, top5_acc: 0.5427, loss_cls: 6.8340, loss: 6.8340 2023-12-30 20:06:47,476 - pyskl - INFO - Epoch [50][2200/3746] lr: 7.537e-02, eta: 2 days, 17:44:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5417, loss_cls: 6.8230, loss: 6.8230 2023-12-30 20:07:46,641 - pyskl - INFO - Epoch [50][2300/3746] lr: 7.535e-02, eta: 2 days, 17:43:00, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5437, loss_cls: 6.8030, loss: 6.8030 2023-12-30 20:08:46,108 - pyskl - INFO - Epoch [50][2400/3746] lr: 7.533e-02, eta: 2 days, 17:41:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5334, loss_cls: 6.8629, loss: 6.8629 2023-12-30 20:09:46,063 - pyskl - INFO - Epoch [50][2500/3746] lr: 7.530e-02, eta: 2 days, 17:40:41, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5408, loss_cls: 6.8242, loss: 6.8242 2023-12-30 20:10:45,265 - pyskl - INFO - Epoch [50][2600/3746] lr: 7.528e-02, eta: 2 days, 17:39:31, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5392, loss_cls: 6.8166, loss: 6.8166 2023-12-30 20:11:44,644 - pyskl - INFO - Epoch [50][2700/3746] lr: 7.525e-02, eta: 2 days, 17:38:21, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5286, loss_cls: 6.8645, loss: 6.8645 2023-12-30 20:12:43,761 - pyskl - INFO - Epoch [50][2800/3746] lr: 7.523e-02, eta: 2 days, 17:37:10, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5341, loss_cls: 6.8508, loss: 6.8508 2023-12-30 20:13:43,471 - pyskl - INFO - Epoch [50][2900/3746] lr: 7.520e-02, eta: 2 days, 17:36:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5262, loss_cls: 6.8772, loss: 6.8772 2023-12-30 20:14:42,692 - pyskl - INFO - Epoch [50][3000/3746] lr: 7.518e-02, eta: 2 days, 17:34:50, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5331, loss_cls: 6.8372, loss: 6.8372 2023-12-30 20:15:42,402 - pyskl - INFO - Epoch [50][3100/3746] lr: 7.516e-02, eta: 2 days, 17:33:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5445, loss_cls: 6.7831, loss: 6.7831 2023-12-30 20:16:41,860 - pyskl - INFO - Epoch [50][3200/3746] lr: 7.513e-02, eta: 2 days, 17:32:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5294, loss_cls: 6.8509, loss: 6.8509 2023-12-30 20:17:41,427 - pyskl - INFO - Epoch [50][3300/3746] lr: 7.511e-02, eta: 2 days, 17:31:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5447, loss_cls: 6.8124, loss: 6.8124 2023-12-30 20:18:40,891 - pyskl - INFO - Epoch [50][3400/3746] lr: 7.508e-02, eta: 2 days, 17:30:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5236, loss_cls: 6.8852, loss: 6.8852 2023-12-30 20:19:40,896 - pyskl - INFO - Epoch [50][3500/3746] lr: 7.506e-02, eta: 2 days, 17:29:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3025, top5_acc: 0.5527, loss_cls: 6.7507, loss: 6.7507 2023-12-30 20:20:41,252 - pyskl - INFO - Epoch [50][3600/3746] lr: 7.504e-02, eta: 2 days, 17:27:55, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5489, loss_cls: 6.7863, loss: 6.7863 2023-12-30 20:21:41,892 - pyskl - INFO - Epoch [50][3700/3746] lr: 7.501e-02, eta: 2 days, 17:26:48, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5363, loss_cls: 6.8314, loss: 6.8314 2023-12-30 20:22:12,398 - pyskl - INFO - Saving checkpoint at 50 epochs 2023-12-30 20:24:12,673 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 20:24:13,790 - pyskl - INFO - top1_acc 0.2175 top5_acc 0.4481 2023-12-30 20:24:13,790 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 20:24:13,829 - pyskl - INFO - mean_acc 0.2174 2023-12-30 20:24:13,836 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_49.pth was removed 2023-12-30 20:24:14,136 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_50.pth. 2023-12-30 20:24:14,137 - pyskl - INFO - Best top1_acc is 0.2175 at 50 epoch. 2023-12-30 20:24:14,149 - pyskl - INFO - Epoch(val) [50][309] top1_acc: 0.2175, top5_acc: 0.4481, mean_class_accuracy: 0.2174 2023-12-30 20:27:38,458 - pyskl - INFO - Epoch [51][100/3746] lr: 7.498e-02, eta: 2 days, 17:29:01, time: 2.043, data_time: 1.449, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5527, loss_cls: 6.7676, loss: 6.7676 2023-12-30 20:28:38,709 - pyskl - INFO - Epoch [51][200/3746] lr: 7.495e-02, eta: 2 days, 17:27:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5503, loss_cls: 6.7628, loss: 6.7628 2023-12-30 20:29:38,848 - pyskl - INFO - Epoch [51][300/3746] lr: 7.493e-02, eta: 2 days, 17:26:44, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5441, loss_cls: 6.7751, loss: 6.7751 2023-12-30 20:30:38,965 - pyskl - INFO - Epoch [51][400/3746] lr: 7.490e-02, eta: 2 days, 17:25:35, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5389, loss_cls: 6.7853, loss: 6.7853 2023-12-30 20:31:39,042 - pyskl - INFO - Epoch [51][500/3746] lr: 7.488e-02, eta: 2 days, 17:24:27, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5316, loss_cls: 6.8429, loss: 6.8429 2023-12-30 20:32:39,342 - pyskl - INFO - Epoch [51][600/3746] lr: 7.485e-02, eta: 2 days, 17:23:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5439, loss_cls: 6.7923, loss: 6.7923 2023-12-30 20:33:39,945 - pyskl - INFO - Epoch [51][700/3746] lr: 7.483e-02, eta: 2 days, 17:22:11, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5397, loss_cls: 6.8227, loss: 6.8227 2023-12-30 20:34:39,852 - pyskl - INFO - Epoch [51][800/3746] lr: 7.481e-02, eta: 2 days, 17:21:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2927, top5_acc: 0.5481, loss_cls: 6.7772, loss: 6.7772 2023-12-30 20:35:39,727 - pyskl - INFO - Epoch [51][900/3746] lr: 7.478e-02, eta: 2 days, 17:19:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5309, loss_cls: 6.8396, loss: 6.8396 2023-12-30 20:36:39,406 - pyskl - INFO - Epoch [51][1000/3746] lr: 7.476e-02, eta: 2 days, 17:18:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5375, loss_cls: 6.8128, loss: 6.8128 2023-12-30 20:37:39,394 - pyskl - INFO - Epoch [51][1100/3746] lr: 7.473e-02, eta: 2 days, 17:17:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5441, loss_cls: 6.8228, loss: 6.8228 2023-12-30 20:38:38,910 - pyskl - INFO - Epoch [51][1200/3746] lr: 7.471e-02, eta: 2 days, 17:16:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5316, loss_cls: 6.8252, loss: 6.8252 2023-12-30 20:39:38,739 - pyskl - INFO - Epoch [51][1300/3746] lr: 7.468e-02, eta: 2 days, 17:15:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5337, loss_cls: 6.8200, loss: 6.8200 2023-12-30 20:40:38,220 - pyskl - INFO - Epoch [51][1400/3746] lr: 7.466e-02, eta: 2 days, 17:14:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5444, loss_cls: 6.8027, loss: 6.8027 2023-12-30 20:41:37,907 - pyskl - INFO - Epoch [51][1500/3746] lr: 7.464e-02, eta: 2 days, 17:12:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5314, loss_cls: 6.8588, loss: 6.8588 2023-12-30 20:42:37,308 - pyskl - INFO - Epoch [51][1600/3746] lr: 7.461e-02, eta: 2 days, 17:11:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5277, loss_cls: 6.8536, loss: 6.8536 2023-12-30 20:43:36,612 - pyskl - INFO - Epoch [51][1700/3746] lr: 7.459e-02, eta: 2 days, 17:10:37, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5322, loss_cls: 6.8214, loss: 6.8214 2023-12-30 20:44:36,351 - pyskl - INFO - Epoch [51][1800/3746] lr: 7.456e-02, eta: 2 days, 17:09:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5400, loss_cls: 6.8346, loss: 6.8346 2023-12-30 20:45:36,344 - pyskl - INFO - Epoch [51][1900/3746] lr: 7.454e-02, eta: 2 days, 17:08:19, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3039, top5_acc: 0.5517, loss_cls: 6.7552, loss: 6.7552 2023-12-30 20:46:36,920 - pyskl - INFO - Epoch [51][2000/3746] lr: 7.451e-02, eta: 2 days, 17:07:12, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5436, loss_cls: 6.7832, loss: 6.7832 2023-12-30 20:47:36,833 - pyskl - INFO - Epoch [51][2100/3746] lr: 7.449e-02, eta: 2 days, 17:06:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5348, loss_cls: 6.8385, loss: 6.8385 2023-12-30 20:48:36,602 - pyskl - INFO - Epoch [51][2200/3746] lr: 7.447e-02, eta: 2 days, 17:04:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5355, loss_cls: 6.8514, loss: 6.8514 2023-12-30 20:49:36,266 - pyskl - INFO - Epoch [51][2300/3746] lr: 7.444e-02, eta: 2 days, 17:03:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5344, loss_cls: 6.8477, loss: 6.8477 2023-12-30 20:50:35,606 - pyskl - INFO - Epoch [51][2400/3746] lr: 7.442e-02, eta: 2 days, 17:02:34, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5334, loss_cls: 6.8395, loss: 6.8395 2023-12-30 20:51:34,931 - pyskl - INFO - Epoch [51][2500/3746] lr: 7.439e-02, eta: 2 days, 17:01:24, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5425, loss_cls: 6.8096, loss: 6.8096 2023-12-30 20:52:34,608 - pyskl - INFO - Epoch [51][2600/3746] lr: 7.437e-02, eta: 2 days, 17:00:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5450, loss_cls: 6.7783, loss: 6.7783 2023-12-30 20:53:34,165 - pyskl - INFO - Epoch [51][2700/3746] lr: 7.434e-02, eta: 2 days, 16:59:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2872, top5_acc: 0.5337, loss_cls: 6.8274, loss: 6.8274 2023-12-30 20:54:33,701 - pyskl - INFO - Epoch [51][2800/3746] lr: 7.432e-02, eta: 2 days, 16:57:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5384, loss_cls: 6.8434, loss: 6.8434 2023-12-30 20:55:33,739 - pyskl - INFO - Epoch [51][2900/3746] lr: 7.429e-02, eta: 2 days, 16:56:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5513, loss_cls: 6.8026, loss: 6.8026 2023-12-30 20:56:34,628 - pyskl - INFO - Epoch [51][3000/3746] lr: 7.427e-02, eta: 2 days, 16:55:41, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5394, loss_cls: 6.8205, loss: 6.8205 2023-12-30 20:57:34,307 - pyskl - INFO - Epoch [51][3100/3746] lr: 7.425e-02, eta: 2 days, 16:54:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5350, loss_cls: 6.8372, loss: 6.8372 2023-12-30 20:58:34,214 - pyskl - INFO - Epoch [51][3200/3746] lr: 7.422e-02, eta: 2 days, 16:53:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5267, loss_cls: 6.8834, loss: 6.8834 2023-12-30 20:59:33,773 - pyskl - INFO - Epoch [51][3300/3746] lr: 7.420e-02, eta: 2 days, 16:52:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5358, loss_cls: 6.8681, loss: 6.8681 2023-12-30 21:00:33,314 - pyskl - INFO - Epoch [51][3400/3746] lr: 7.417e-02, eta: 2 days, 16:51:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5361, loss_cls: 6.8233, loss: 6.8233 2023-12-30 21:01:32,956 - pyskl - INFO - Epoch [51][3500/3746] lr: 7.415e-02, eta: 2 days, 16:49:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5437, loss_cls: 6.8135, loss: 6.8135 2023-12-30 21:02:32,652 - pyskl - INFO - Epoch [51][3600/3746] lr: 7.412e-02, eta: 2 days, 16:48:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5361, loss_cls: 6.8196, loss: 6.8196 2023-12-30 21:03:32,108 - pyskl - INFO - Epoch [51][3700/3746] lr: 7.410e-02, eta: 2 days, 16:47:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5489, loss_cls: 6.7715, loss: 6.7715 2023-12-30 21:04:02,353 - pyskl - INFO - Saving checkpoint at 51 epochs 2023-12-30 21:06:05,791 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 21:06:06,849 - pyskl - INFO - top1_acc 0.2276 top5_acc 0.4608 2023-12-30 21:06:06,849 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 21:06:06,886 - pyskl - INFO - mean_acc 0.2276 2023-12-30 21:06:06,892 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_50.pth was removed 2023-12-30 21:06:07,191 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_51.pth. 2023-12-30 21:06:07,192 - pyskl - INFO - Best top1_acc is 0.2276 at 51 epoch. 2023-12-30 21:06:07,200 - pyskl - INFO - Epoch(val) [51][309] top1_acc: 0.2276, top5_acc: 0.4608, mean_class_accuracy: 0.2276 2023-12-30 21:09:28,690 - pyskl - INFO - Epoch [52][100/3746] lr: 7.406e-02, eta: 2 days, 16:49:37, time: 2.015, data_time: 1.422, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5536, loss_cls: 6.7732, loss: 6.7732 2023-12-30 21:10:28,165 - pyskl - INFO - Epoch [52][200/3746] lr: 7.404e-02, eta: 2 days, 16:48:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5455, loss_cls: 6.8024, loss: 6.8024 2023-12-30 21:11:27,851 - pyskl - INFO - Epoch [52][300/3746] lr: 7.401e-02, eta: 2 days, 16:47:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2872, top5_acc: 0.5461, loss_cls: 6.7988, loss: 6.7988 2023-12-30 21:12:27,921 - pyskl - INFO - Epoch [52][400/3746] lr: 7.399e-02, eta: 2 days, 16:46:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5366, loss_cls: 6.8424, loss: 6.8424 2023-12-30 21:13:27,734 - pyskl - INFO - Epoch [52][500/3746] lr: 7.397e-02, eta: 2 days, 16:45:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5466, loss_cls: 6.8000, loss: 6.8000 2023-12-30 21:14:27,684 - pyskl - INFO - Epoch [52][600/3746] lr: 7.394e-02, eta: 2 days, 16:43:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5463, loss_cls: 6.7950, loss: 6.7950 2023-12-30 21:15:27,571 - pyskl - INFO - Epoch [52][700/3746] lr: 7.392e-02, eta: 2 days, 16:42:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5422, loss_cls: 6.8191, loss: 6.8191 2023-12-30 21:16:27,399 - pyskl - INFO - Epoch [52][800/3746] lr: 7.389e-02, eta: 2 days, 16:41:34, time: 0.598, data_time: 0.001, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5497, loss_cls: 6.7900, loss: 6.7900 2023-12-30 21:17:27,217 - pyskl - INFO - Epoch [52][900/3746] lr: 7.387e-02, eta: 2 days, 16:40:25, time: 0.598, data_time: 0.001, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5419, loss_cls: 6.8170, loss: 6.8170 2023-12-30 21:18:26,952 - pyskl - INFO - Epoch [52][1000/3746] lr: 7.384e-02, eta: 2 days, 16:39:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5448, loss_cls: 6.7959, loss: 6.7959 2023-12-30 21:19:26,643 - pyskl - INFO - Epoch [52][1100/3746] lr: 7.382e-02, eta: 2 days, 16:38:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5364, loss_cls: 6.8200, loss: 6.8200 2023-12-30 21:20:26,083 - pyskl - INFO - Epoch [52][1200/3746] lr: 7.379e-02, eta: 2 days, 16:36:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5370, loss_cls: 6.8085, loss: 6.8085 2023-12-30 21:21:25,731 - pyskl - INFO - Epoch [52][1300/3746] lr: 7.377e-02, eta: 2 days, 16:35:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5394, loss_cls: 6.8035, loss: 6.8035 2023-12-30 21:22:25,918 - pyskl - INFO - Epoch [52][1400/3746] lr: 7.374e-02, eta: 2 days, 16:34:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5441, loss_cls: 6.7752, loss: 6.7752 2023-12-30 21:23:25,543 - pyskl - INFO - Epoch [52][1500/3746] lr: 7.372e-02, eta: 2 days, 16:33:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5337, loss_cls: 6.8263, loss: 6.8263 2023-12-30 21:24:25,097 - pyskl - INFO - Epoch [52][1600/3746] lr: 7.370e-02, eta: 2 days, 16:32:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5337, loss_cls: 6.8339, loss: 6.8339 2023-12-30 21:25:24,649 - pyskl - INFO - Epoch [52][1700/3746] lr: 7.367e-02, eta: 2 days, 16:31:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5311, loss_cls: 6.8312, loss: 6.8312 2023-12-30 21:26:24,173 - pyskl - INFO - Epoch [52][1800/3746] lr: 7.365e-02, eta: 2 days, 16:30:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5366, loss_cls: 6.8039, loss: 6.8039 2023-12-30 21:27:24,217 - pyskl - INFO - Epoch [52][1900/3746] lr: 7.362e-02, eta: 2 days, 16:28:54, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5455, loss_cls: 6.7956, loss: 6.7956 2023-12-30 21:28:24,994 - pyskl - INFO - Epoch [52][2000/3746] lr: 7.360e-02, eta: 2 days, 16:27:47, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5420, loss_cls: 6.8157, loss: 6.8157 2023-12-30 21:29:24,443 - pyskl - INFO - Epoch [52][2100/3746] lr: 7.357e-02, eta: 2 days, 16:26:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5433, loss_cls: 6.8043, loss: 6.8043 2023-12-30 21:30:23,834 - pyskl - INFO - Epoch [52][2200/3746] lr: 7.355e-02, eta: 2 days, 16:25:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5405, loss_cls: 6.8074, loss: 6.8074 2023-12-30 21:31:23,753 - pyskl - INFO - Epoch [52][2300/3746] lr: 7.352e-02, eta: 2 days, 16:24:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5436, loss_cls: 6.7664, loss: 6.7664 2023-12-30 21:32:23,260 - pyskl - INFO - Epoch [52][2400/3746] lr: 7.350e-02, eta: 2 days, 16:23:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5402, loss_cls: 6.8027, loss: 6.8027 2023-12-30 21:33:22,676 - pyskl - INFO - Epoch [52][2500/3746] lr: 7.347e-02, eta: 2 days, 16:22:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5456, loss_cls: 6.7909, loss: 6.7909 2023-12-30 21:34:22,117 - pyskl - INFO - Epoch [52][2600/3746] lr: 7.345e-02, eta: 2 days, 16:20:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5445, loss_cls: 6.8220, loss: 6.8220 2023-12-30 21:35:21,735 - pyskl - INFO - Epoch [52][2700/3746] lr: 7.342e-02, eta: 2 days, 16:19:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5439, loss_cls: 6.8143, loss: 6.8143 2023-12-30 21:36:21,089 - pyskl - INFO - Epoch [52][2800/3746] lr: 7.340e-02, eta: 2 days, 16:18:32, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5391, loss_cls: 6.8276, loss: 6.8276 2023-12-30 21:37:20,810 - pyskl - INFO - Epoch [52][2900/3746] lr: 7.337e-02, eta: 2 days, 16:17:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5370, loss_cls: 6.7977, loss: 6.7977 2023-12-30 21:38:20,955 - pyskl - INFO - Epoch [52][3000/3746] lr: 7.335e-02, eta: 2 days, 16:16:15, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5433, loss_cls: 6.8149, loss: 6.8149 2023-12-30 21:39:21,147 - pyskl - INFO - Epoch [52][3100/3746] lr: 7.332e-02, eta: 2 days, 16:15:07, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5394, loss_cls: 6.8247, loss: 6.8247 2023-12-30 21:40:21,465 - pyskl - INFO - Epoch [52][3200/3746] lr: 7.330e-02, eta: 2 days, 16:13:59, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5389, loss_cls: 6.8205, loss: 6.8205 2023-12-30 21:41:21,039 - pyskl - INFO - Epoch [52][3300/3746] lr: 7.328e-02, eta: 2 days, 16:12:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2884, top5_acc: 0.5441, loss_cls: 6.8134, loss: 6.8134 2023-12-30 21:42:20,653 - pyskl - INFO - Epoch [52][3400/3746] lr: 7.325e-02, eta: 2 days, 16:11:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5381, loss_cls: 6.8271, loss: 6.8271 2023-12-30 21:43:21,411 - pyskl - INFO - Epoch [52][3500/3746] lr: 7.323e-02, eta: 2 days, 16:10:34, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5398, loss_cls: 6.8215, loss: 6.8215 2023-12-30 21:44:20,844 - pyskl - INFO - Epoch [52][3600/3746] lr: 7.320e-02, eta: 2 days, 16:09:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5303, loss_cls: 6.8395, loss: 6.8395 2023-12-30 21:45:20,079 - pyskl - INFO - Epoch [52][3700/3746] lr: 7.318e-02, eta: 2 days, 16:08:15, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5419, loss_cls: 6.8338, loss: 6.8338 2023-12-30 21:45:50,276 - pyskl - INFO - Saving checkpoint at 52 epochs 2023-12-30 21:47:54,172 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 21:47:55,234 - pyskl - INFO - top1_acc 0.2167 top5_acc 0.4422 2023-12-30 21:47:55,234 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 21:47:55,290 - pyskl - INFO - mean_acc 0.2165 2023-12-30 21:47:55,303 - pyskl - INFO - Epoch(val) [52][309] top1_acc: 0.2167, top5_acc: 0.4422, mean_class_accuracy: 0.2165 2023-12-30 21:51:14,154 - pyskl - INFO - Epoch [53][100/3746] lr: 7.314e-02, eta: 2 days, 16:10:04, time: 1.988, data_time: 1.395, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5550, loss_cls: 6.7273, loss: 6.7273 2023-12-30 21:52:13,634 - pyskl - INFO - Epoch [53][200/3746] lr: 7.312e-02, eta: 2 days, 16:08:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2905, top5_acc: 0.5411, loss_cls: 6.8174, loss: 6.8174 2023-12-30 21:53:13,194 - pyskl - INFO - Epoch [53][300/3746] lr: 7.309e-02, eta: 2 days, 16:07:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2881, top5_acc: 0.5502, loss_cls: 6.7861, loss: 6.7861 2023-12-30 21:54:14,163 - pyskl - INFO - Epoch [53][400/3746] lr: 7.307e-02, eta: 2 days, 16:06:39, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5472, loss_cls: 6.8084, loss: 6.8084 2023-12-30 21:55:13,572 - pyskl - INFO - Epoch [53][500/3746] lr: 7.304e-02, eta: 2 days, 16:05:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5431, loss_cls: 6.7967, loss: 6.7967 2023-12-30 21:56:13,440 - pyskl - INFO - Epoch [53][600/3746] lr: 7.302e-02, eta: 2 days, 16:04:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5520, loss_cls: 6.7757, loss: 6.7757 2023-12-30 21:57:13,406 - pyskl - INFO - Epoch [53][700/3746] lr: 7.299e-02, eta: 2 days, 16:03:12, time: 0.600, data_time: 0.001, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5356, loss_cls: 6.8123, loss: 6.8123 2023-12-30 21:58:13,351 - pyskl - INFO - Epoch [53][800/3746] lr: 7.297e-02, eta: 2 days, 16:02:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2997, top5_acc: 0.5487, loss_cls: 6.7660, loss: 6.7660 2023-12-30 21:59:13,249 - pyskl - INFO - Epoch [53][900/3746] lr: 7.294e-02, eta: 2 days, 16:00:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5312, loss_cls: 6.8621, loss: 6.8621 2023-12-30 22:00:12,522 - pyskl - INFO - Epoch [53][1000/3746] lr: 7.292e-02, eta: 2 days, 15:59:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5420, loss_cls: 6.8162, loss: 6.8162 2023-12-30 22:01:11,949 - pyskl - INFO - Epoch [53][1100/3746] lr: 7.289e-02, eta: 2 days, 15:58:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5367, loss_cls: 6.8016, loss: 6.8016 2023-12-30 22:02:11,328 - pyskl - INFO - Epoch [53][1200/3746] lr: 7.287e-02, eta: 2 days, 15:57:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5534, loss_cls: 6.7357, loss: 6.7357 2023-12-30 22:03:10,893 - pyskl - INFO - Epoch [53][1300/3746] lr: 7.284e-02, eta: 2 days, 15:56:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5416, loss_cls: 6.8138, loss: 6.8138 2023-12-30 22:04:10,929 - pyskl - INFO - Epoch [53][1400/3746] lr: 7.282e-02, eta: 2 days, 15:55:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5419, loss_cls: 6.8132, loss: 6.8132 2023-12-30 22:05:11,237 - pyskl - INFO - Epoch [53][1500/3746] lr: 7.279e-02, eta: 2 days, 15:54:01, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5414, loss_cls: 6.7782, loss: 6.7782 2023-12-30 22:06:11,024 - pyskl - INFO - Epoch [53][1600/3746] lr: 7.277e-02, eta: 2 days, 15:52:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5373, loss_cls: 6.8370, loss: 6.8370 2023-12-30 22:07:10,400 - pyskl - INFO - Epoch [53][1700/3746] lr: 7.274e-02, eta: 2 days, 15:51:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5416, loss_cls: 6.7948, loss: 6.7948 2023-12-30 22:08:09,729 - pyskl - INFO - Epoch [53][1800/3746] lr: 7.272e-02, eta: 2 days, 15:50:33, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5481, loss_cls: 6.7803, loss: 6.7803 2023-12-30 22:09:09,468 - pyskl - INFO - Epoch [53][1900/3746] lr: 7.269e-02, eta: 2 days, 15:49:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5380, loss_cls: 6.8166, loss: 6.8166 2023-12-30 22:10:09,637 - pyskl - INFO - Epoch [53][2000/3746] lr: 7.267e-02, eta: 2 days, 15:48:16, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5427, loss_cls: 6.8127, loss: 6.8127 2023-12-30 22:11:09,441 - pyskl - INFO - Epoch [53][2100/3746] lr: 7.264e-02, eta: 2 days, 15:47:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5430, loss_cls: 6.8334, loss: 6.8334 2023-12-30 22:12:09,169 - pyskl - INFO - Epoch [53][2200/3746] lr: 7.262e-02, eta: 2 days, 15:45:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2786, top5_acc: 0.5289, loss_cls: 6.8762, loss: 6.8762 2023-12-30 22:13:08,925 - pyskl - INFO - Epoch [53][2300/3746] lr: 7.259e-02, eta: 2 days, 15:44:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5411, loss_cls: 6.8276, loss: 6.8276 2023-12-30 22:14:08,506 - pyskl - INFO - Epoch [53][2400/3746] lr: 7.257e-02, eta: 2 days, 15:43:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5341, loss_cls: 6.8300, loss: 6.8300 2023-12-30 22:15:07,752 - pyskl - INFO - Epoch [53][2500/3746] lr: 7.254e-02, eta: 2 days, 15:42:31, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2916, top5_acc: 0.5491, loss_cls: 6.7808, loss: 6.7808 2023-12-30 22:16:07,071 - pyskl - INFO - Epoch [53][2600/3746] lr: 7.252e-02, eta: 2 days, 15:41:22, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5469, loss_cls: 6.7804, loss: 6.7804 2023-12-30 22:17:06,420 - pyskl - INFO - Epoch [53][2700/3746] lr: 7.249e-02, eta: 2 days, 15:40:12, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5500, loss_cls: 6.7694, loss: 6.7694 2023-12-30 22:18:05,735 - pyskl - INFO - Epoch [53][2800/3746] lr: 7.247e-02, eta: 2 days, 15:39:03, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5484, loss_cls: 6.7819, loss: 6.7819 2023-12-30 22:19:04,997 - pyskl - INFO - Epoch [53][2900/3746] lr: 7.244e-02, eta: 2 days, 15:37:53, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5463, loss_cls: 6.7746, loss: 6.7746 2023-12-30 22:20:04,506 - pyskl - INFO - Epoch [53][3000/3746] lr: 7.242e-02, eta: 2 days, 15:36:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2861, top5_acc: 0.5367, loss_cls: 6.8352, loss: 6.8352 2023-12-30 22:21:04,020 - pyskl - INFO - Epoch [53][3100/3746] lr: 7.239e-02, eta: 2 days, 15:35:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5339, loss_cls: 6.8310, loss: 6.8310 2023-12-30 22:22:03,334 - pyskl - INFO - Epoch [53][3200/3746] lr: 7.237e-02, eta: 2 days, 15:34:26, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5444, loss_cls: 6.8253, loss: 6.8253 2023-12-30 22:23:02,971 - pyskl - INFO - Epoch [53][3300/3746] lr: 7.234e-02, eta: 2 days, 15:33:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2911, top5_acc: 0.5448, loss_cls: 6.7856, loss: 6.7856 2023-12-30 22:24:02,584 - pyskl - INFO - Epoch [53][3400/3746] lr: 7.232e-02, eta: 2 days, 15:32:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5461, loss_cls: 6.8057, loss: 6.8057 2023-12-30 22:25:02,116 - pyskl - INFO - Epoch [53][3500/3746] lr: 7.229e-02, eta: 2 days, 15:30:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5323, loss_cls: 6.8511, loss: 6.8511 2023-12-30 22:26:01,799 - pyskl - INFO - Epoch [53][3600/3746] lr: 7.227e-02, eta: 2 days, 15:29:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5314, loss_cls: 6.8492, loss: 6.8492 2023-12-30 22:27:01,570 - pyskl - INFO - Epoch [53][3700/3746] lr: 7.224e-02, eta: 2 days, 15:28:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5397, loss_cls: 6.7952, loss: 6.7952 2023-12-30 22:27:31,581 - pyskl - INFO - Saving checkpoint at 53 epochs 2023-12-30 22:29:30,996 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 22:29:32,051 - pyskl - INFO - top1_acc 0.2195 top5_acc 0.4528 2023-12-30 22:29:32,051 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 22:29:32,092 - pyskl - INFO - mean_acc 0.2194 2023-12-30 22:29:32,101 - pyskl - INFO - Epoch(val) [53][309] top1_acc: 0.2195, top5_acc: 0.4528, mean_class_accuracy: 0.2194 2023-12-30 22:32:49,250 - pyskl - INFO - Epoch [54][100/3746] lr: 7.221e-02, eta: 2 days, 15:30:22, time: 1.971, data_time: 1.382, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5572, loss_cls: 6.7474, loss: 6.7474 2023-12-30 22:33:48,657 - pyskl - INFO - Epoch [54][200/3746] lr: 7.218e-02, eta: 2 days, 15:29:13, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5437, loss_cls: 6.8096, loss: 6.8096 2023-12-30 22:34:48,407 - pyskl - INFO - Epoch [54][300/3746] lr: 7.216e-02, eta: 2 days, 15:28:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5497, loss_cls: 6.7589, loss: 6.7589 2023-12-30 22:35:48,867 - pyskl - INFO - Epoch [54][400/3746] lr: 7.213e-02, eta: 2 days, 15:26:57, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5505, loss_cls: 6.7685, loss: 6.7685 2023-12-30 22:36:48,926 - pyskl - INFO - Epoch [54][500/3746] lr: 7.211e-02, eta: 2 days, 15:25:49, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5469, loss_cls: 6.7680, loss: 6.7680 2023-12-30 22:37:48,997 - pyskl - INFO - Epoch [54][600/3746] lr: 7.208e-02, eta: 2 days, 15:24:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5466, loss_cls: 6.7635, loss: 6.7635 2023-12-30 22:38:49,482 - pyskl - INFO - Epoch [54][700/3746] lr: 7.206e-02, eta: 2 days, 15:23:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5477, loss_cls: 6.8121, loss: 6.8121 2023-12-30 22:39:49,856 - pyskl - INFO - Epoch [54][800/3746] lr: 7.203e-02, eta: 2 days, 15:22:25, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5459, loss_cls: 6.7870, loss: 6.7870 2023-12-30 22:40:49,713 - pyskl - INFO - Epoch [54][900/3746] lr: 7.201e-02, eta: 2 days, 15:21:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5419, loss_cls: 6.7939, loss: 6.7939 2023-12-30 22:41:49,941 - pyskl - INFO - Epoch [54][1000/3746] lr: 7.198e-02, eta: 2 days, 15:20:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5373, loss_cls: 6.7963, loss: 6.7963 2023-12-30 22:42:49,527 - pyskl - INFO - Epoch [54][1100/3746] lr: 7.196e-02, eta: 2 days, 15:19:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5525, loss_cls: 6.7653, loss: 6.7653 2023-12-30 22:43:49,538 - pyskl - INFO - Epoch [54][1200/3746] lr: 7.193e-02, eta: 2 days, 15:17:52, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5475, loss_cls: 6.8025, loss: 6.8025 2023-12-30 22:44:48,963 - pyskl - INFO - Epoch [54][1300/3746] lr: 7.191e-02, eta: 2 days, 15:16:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5413, loss_cls: 6.7628, loss: 6.7628 2023-12-30 22:45:48,558 - pyskl - INFO - Epoch [54][1400/3746] lr: 7.188e-02, eta: 2 days, 15:15:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5414, loss_cls: 6.8221, loss: 6.8221 2023-12-30 22:46:47,834 - pyskl - INFO - Epoch [54][1500/3746] lr: 7.186e-02, eta: 2 days, 15:14:24, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5433, loss_cls: 6.8198, loss: 6.8198 2023-12-30 22:47:47,518 - pyskl - INFO - Epoch [54][1600/3746] lr: 7.183e-02, eta: 2 days, 15:13:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2855, top5_acc: 0.5464, loss_cls: 6.8018, loss: 6.8018 2023-12-30 22:48:47,325 - pyskl - INFO - Epoch [54][1700/3746] lr: 7.181e-02, eta: 2 days, 15:12:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5450, loss_cls: 6.8165, loss: 6.8165 2023-12-30 22:49:46,754 - pyskl - INFO - Epoch [54][1800/3746] lr: 7.178e-02, eta: 2 days, 15:10:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5375, loss_cls: 6.8115, loss: 6.8115 2023-12-30 22:50:46,612 - pyskl - INFO - Epoch [54][1900/3746] lr: 7.176e-02, eta: 2 days, 15:09:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2881, top5_acc: 0.5366, loss_cls: 6.8034, loss: 6.8034 2023-12-30 22:51:46,957 - pyskl - INFO - Epoch [54][2000/3746] lr: 7.173e-02, eta: 2 days, 15:08:42, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5442, loss_cls: 6.7846, loss: 6.7846 2023-12-30 22:52:47,693 - pyskl - INFO - Epoch [54][2100/3746] lr: 7.170e-02, eta: 2 days, 15:07:35, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5389, loss_cls: 6.8189, loss: 6.8189 2023-12-30 22:53:47,435 - pyskl - INFO - Epoch [54][2200/3746] lr: 7.168e-02, eta: 2 days, 15:06:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2963, top5_acc: 0.5463, loss_cls: 6.8208, loss: 6.8208 2023-12-30 22:54:47,230 - pyskl - INFO - Epoch [54][2300/3746] lr: 7.165e-02, eta: 2 days, 15:05:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5450, loss_cls: 6.8104, loss: 6.8104 2023-12-30 22:55:46,909 - pyskl - INFO - Epoch [54][2400/3746] lr: 7.163e-02, eta: 2 days, 15:04:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3005, top5_acc: 0.5517, loss_cls: 6.7520, loss: 6.7520 2023-12-30 22:56:46,210 - pyskl - INFO - Epoch [54][2500/3746] lr: 7.160e-02, eta: 2 days, 15:03:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5439, loss_cls: 6.8067, loss: 6.8067 2023-12-30 22:57:45,861 - pyskl - INFO - Epoch [54][2600/3746] lr: 7.158e-02, eta: 2 days, 15:01:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5297, loss_cls: 6.8678, loss: 6.8678 2023-12-30 22:58:45,375 - pyskl - INFO - Epoch [54][2700/3746] lr: 7.155e-02, eta: 2 days, 15:00:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5455, loss_cls: 6.7986, loss: 6.7986 2023-12-30 22:59:45,865 - pyskl - INFO - Epoch [54][2800/3746] lr: 7.153e-02, eta: 2 days, 14:59:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2828, top5_acc: 0.5405, loss_cls: 6.7926, loss: 6.7926 2023-12-30 23:00:46,239 - pyskl - INFO - Epoch [54][2900/3746] lr: 7.150e-02, eta: 2 days, 14:58:27, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2884, top5_acc: 0.5373, loss_cls: 6.8150, loss: 6.8150 2023-12-30 23:01:46,664 - pyskl - INFO - Epoch [54][3000/3746] lr: 7.148e-02, eta: 2 days, 14:57:20, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2822, top5_acc: 0.5461, loss_cls: 6.8051, loss: 6.8051 2023-12-30 23:02:46,464 - pyskl - INFO - Epoch [54][3100/3746] lr: 7.145e-02, eta: 2 days, 14:56:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5458, loss_cls: 6.7843, loss: 6.7843 2023-12-30 23:03:46,394 - pyskl - INFO - Epoch [54][3200/3746] lr: 7.143e-02, eta: 2 days, 14:55:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2983, top5_acc: 0.5472, loss_cls: 6.7792, loss: 6.7792 2023-12-30 23:04:46,485 - pyskl - INFO - Epoch [54][3300/3746] lr: 7.140e-02, eta: 2 days, 14:53:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5325, loss_cls: 6.8089, loss: 6.8089 2023-12-30 23:05:46,402 - pyskl - INFO - Epoch [54][3400/3746] lr: 7.138e-02, eta: 2 days, 14:52:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5386, loss_cls: 6.8289, loss: 6.8289 2023-12-30 23:06:46,724 - pyskl - INFO - Epoch [54][3500/3746] lr: 7.135e-02, eta: 2 days, 14:51:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5334, loss_cls: 6.8416, loss: 6.8416 2023-12-30 23:07:46,193 - pyskl - INFO - Epoch [54][3600/3746] lr: 7.133e-02, eta: 2 days, 14:50:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5436, loss_cls: 6.7832, loss: 6.7832 2023-12-30 23:08:46,551 - pyskl - INFO - Epoch [54][3700/3746] lr: 7.130e-02, eta: 2 days, 14:49:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2905, top5_acc: 0.5350, loss_cls: 6.8146, loss: 6.8146 2023-12-30 23:09:16,990 - pyskl - INFO - Saving checkpoint at 54 epochs 2023-12-30 23:11:19,556 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 23:11:20,403 - pyskl - INFO - top1_acc 0.2185 top5_acc 0.4571 2023-12-30 23:11:20,403 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 23:11:20,440 - pyskl - INFO - mean_acc 0.2184 2023-12-30 23:11:20,451 - pyskl - INFO - Epoch(val) [54][309] top1_acc: 0.2185, top5_acc: 0.4571, mean_class_accuracy: 0.2184 2023-12-30 23:14:48,703 - pyskl - INFO - Epoch [55][100/3746] lr: 7.126e-02, eta: 2 days, 14:51:19, time: 2.082, data_time: 1.489, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5509, loss_cls: 6.7743, loss: 6.7743 2023-12-30 23:15:48,078 - pyskl - INFO - Epoch [55][200/3746] lr: 7.124e-02, eta: 2 days, 14:50:09, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5489, loss_cls: 6.7613, loss: 6.7613 2023-12-30 23:16:47,939 - pyskl - INFO - Epoch [55][300/3746] lr: 7.121e-02, eta: 2 days, 14:49:01, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5480, loss_cls: 6.7654, loss: 6.7654 2023-12-30 23:17:48,354 - pyskl - INFO - Epoch [55][400/3746] lr: 7.119e-02, eta: 2 days, 14:47:54, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5486, loss_cls: 6.7898, loss: 6.7898 2023-12-30 23:18:48,169 - pyskl - INFO - Epoch [55][500/3746] lr: 7.116e-02, eta: 2 days, 14:46:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5439, loss_cls: 6.8014, loss: 6.8014 2023-12-30 23:19:48,587 - pyskl - INFO - Epoch [55][600/3746] lr: 7.114e-02, eta: 2 days, 14:45:38, time: 0.604, data_time: 0.001, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5541, loss_cls: 6.7365, loss: 6.7365 2023-12-30 23:20:48,970 - pyskl - INFO - Epoch [55][700/3746] lr: 7.111e-02, eta: 2 days, 14:44:30, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5505, loss_cls: 6.7886, loss: 6.7886 2023-12-30 23:21:49,015 - pyskl - INFO - Epoch [55][800/3746] lr: 7.109e-02, eta: 2 days, 14:43:22, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5470, loss_cls: 6.7554, loss: 6.7554 2023-12-30 23:22:48,645 - pyskl - INFO - Epoch [55][900/3746] lr: 7.106e-02, eta: 2 days, 14:42:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5434, loss_cls: 6.7742, loss: 6.7742 2023-12-30 23:23:48,197 - pyskl - INFO - Epoch [55][1000/3746] lr: 7.104e-02, eta: 2 days, 14:41:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5505, loss_cls: 6.7766, loss: 6.7766 2023-12-30 23:24:47,938 - pyskl - INFO - Epoch [55][1100/3746] lr: 7.101e-02, eta: 2 days, 14:39:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5433, loss_cls: 6.7889, loss: 6.7889 2023-12-30 23:25:47,838 - pyskl - INFO - Epoch [55][1200/3746] lr: 7.099e-02, eta: 2 days, 14:38:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2916, top5_acc: 0.5389, loss_cls: 6.8149, loss: 6.8149 2023-12-30 23:26:46,969 - pyskl - INFO - Epoch [55][1300/3746] lr: 7.096e-02, eta: 2 days, 14:37:38, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5414, loss_cls: 6.8136, loss: 6.8136 2023-12-30 23:27:46,366 - pyskl - INFO - Epoch [55][1400/3746] lr: 7.093e-02, eta: 2 days, 14:36:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5536, loss_cls: 6.7591, loss: 6.7591 2023-12-30 23:28:45,531 - pyskl - INFO - Epoch [55][1500/3746] lr: 7.091e-02, eta: 2 days, 14:35:20, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5456, loss_cls: 6.8007, loss: 6.8007 2023-12-30 23:29:44,977 - pyskl - INFO - Epoch [55][1600/3746] lr: 7.088e-02, eta: 2 days, 14:34:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5345, loss_cls: 6.8260, loss: 6.8260 2023-12-30 23:30:44,298 - pyskl - INFO - Epoch [55][1700/3746] lr: 7.086e-02, eta: 2 days, 14:33:01, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5434, loss_cls: 6.8152, loss: 6.8152 2023-12-30 23:31:43,825 - pyskl - INFO - Epoch [55][1800/3746] lr: 7.083e-02, eta: 2 days, 14:31:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5364, loss_cls: 6.7977, loss: 6.7977 2023-12-30 23:32:43,227 - pyskl - INFO - Epoch [55][1900/3746] lr: 7.081e-02, eta: 2 days, 14:30:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5480, loss_cls: 6.7725, loss: 6.7725 2023-12-30 23:33:43,162 - pyskl - INFO - Epoch [55][2000/3746] lr: 7.078e-02, eta: 2 days, 14:29:35, time: 0.599, data_time: 0.001, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5487, loss_cls: 6.7708, loss: 6.7708 2023-12-30 23:34:43,578 - pyskl - INFO - Epoch [55][2100/3746] lr: 7.076e-02, eta: 2 days, 14:28:28, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5194, loss_cls: 6.8556, loss: 6.8556 2023-12-30 23:35:42,883 - pyskl - INFO - Epoch [55][2200/3746] lr: 7.073e-02, eta: 2 days, 14:27:19, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5403, loss_cls: 6.7850, loss: 6.7850 2023-12-30 23:36:42,703 - pyskl - INFO - Epoch [55][2300/3746] lr: 7.071e-02, eta: 2 days, 14:26:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2963, top5_acc: 0.5463, loss_cls: 6.7628, loss: 6.7628 2023-12-30 23:37:42,889 - pyskl - INFO - Epoch [55][2400/3746] lr: 7.068e-02, eta: 2 days, 14:25:03, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5423, loss_cls: 6.8063, loss: 6.8063 2023-12-30 23:38:42,153 - pyskl - INFO - Epoch [55][2500/3746] lr: 7.065e-02, eta: 2 days, 14:23:54, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5419, loss_cls: 6.7922, loss: 6.7922 2023-12-30 23:39:41,581 - pyskl - INFO - Epoch [55][2600/3746] lr: 7.063e-02, eta: 2 days, 14:22:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5392, loss_cls: 6.7960, loss: 6.7960 2023-12-30 23:40:41,018 - pyskl - INFO - Epoch [55][2700/3746] lr: 7.060e-02, eta: 2 days, 14:21:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5406, loss_cls: 6.7891, loss: 6.7891 2023-12-30 23:41:40,772 - pyskl - INFO - Epoch [55][2800/3746] lr: 7.058e-02, eta: 2 days, 14:20:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5411, loss_cls: 6.8168, loss: 6.8168 2023-12-30 23:42:41,044 - pyskl - INFO - Epoch [55][2900/3746] lr: 7.055e-02, eta: 2 days, 14:19:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5369, loss_cls: 6.8037, loss: 6.8037 2023-12-30 23:43:41,717 - pyskl - INFO - Epoch [55][3000/3746] lr: 7.053e-02, eta: 2 days, 14:18:13, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5411, loss_cls: 6.7825, loss: 6.7825 2023-12-30 23:44:41,950 - pyskl - INFO - Epoch [55][3100/3746] lr: 7.050e-02, eta: 2 days, 14:17:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2905, top5_acc: 0.5417, loss_cls: 6.7880, loss: 6.7880 2023-12-30 23:45:42,685 - pyskl - INFO - Epoch [55][3200/3746] lr: 7.048e-02, eta: 2 days, 14:15:59, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5439, loss_cls: 6.8123, loss: 6.8123 2023-12-30 23:46:43,131 - pyskl - INFO - Epoch [55][3300/3746] lr: 7.045e-02, eta: 2 days, 14:14:52, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5458, loss_cls: 6.8025, loss: 6.8025 2023-12-30 23:47:42,699 - pyskl - INFO - Epoch [55][3400/3746] lr: 7.043e-02, eta: 2 days, 14:13:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5398, loss_cls: 6.8040, loss: 6.8040 2023-12-30 23:48:43,005 - pyskl - INFO - Epoch [55][3500/3746] lr: 7.040e-02, eta: 2 days, 14:12:36, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5400, loss_cls: 6.8326, loss: 6.8326 2023-12-30 23:49:42,832 - pyskl - INFO - Epoch [55][3600/3746] lr: 7.037e-02, eta: 2 days, 14:11:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5405, loss_cls: 6.8300, loss: 6.8300 2023-12-30 23:50:42,842 - pyskl - INFO - Epoch [55][3700/3746] lr: 7.035e-02, eta: 2 days, 14:10:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5552, loss_cls: 6.7753, loss: 6.7753 2023-12-30 23:51:12,879 - pyskl - INFO - Saving checkpoint at 55 epochs 2023-12-30 23:53:12,558 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-30 23:53:13,643 - pyskl - INFO - top1_acc 0.1938 top5_acc 0.4295 2023-12-30 23:53:13,643 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-30 23:53:13,684 - pyskl - INFO - mean_acc 0.1936 2023-12-30 23:53:13,694 - pyskl - INFO - Epoch(val) [55][309] top1_acc: 0.1938, top5_acc: 0.4295, mean_class_accuracy: 0.1936 2023-12-30 23:56:33,283 - pyskl - INFO - Epoch [56][100/3746] lr: 7.031e-02, eta: 2 days, 14:11:54, time: 1.996, data_time: 1.402, memory: 16177, top1_acc: 0.2972, top5_acc: 0.5472, loss_cls: 6.7632, loss: 6.7632 2023-12-30 23:57:32,856 - pyskl - INFO - Epoch [56][200/3746] lr: 7.029e-02, eta: 2 days, 14:10:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5536, loss_cls: 6.7508, loss: 6.7508 2023-12-30 23:58:32,555 - pyskl - INFO - Epoch [56][300/3746] lr: 7.026e-02, eta: 2 days, 14:09:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5475, loss_cls: 6.8038, loss: 6.8038 2023-12-30 23:59:32,336 - pyskl - INFO - Epoch [56][400/3746] lr: 7.023e-02, eta: 2 days, 14:08:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5439, loss_cls: 6.8037, loss: 6.8037 2023-12-31 00:00:31,894 - pyskl - INFO - Epoch [56][500/3746] lr: 7.021e-02, eta: 2 days, 14:07:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5581, loss_cls: 6.7467, loss: 6.7467 2023-12-31 00:01:32,167 - pyskl - INFO - Epoch [56][600/3746] lr: 7.018e-02, eta: 2 days, 14:06:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5455, loss_cls: 6.7677, loss: 6.7677 2023-12-31 00:02:31,694 - pyskl - INFO - Epoch [56][700/3746] lr: 7.016e-02, eta: 2 days, 14:05:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5439, loss_cls: 6.8024, loss: 6.8024 2023-12-31 00:03:31,605 - pyskl - INFO - Epoch [56][800/3746] lr: 7.013e-02, eta: 2 days, 14:03:55, time: 0.599, data_time: 0.001, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5359, loss_cls: 6.8426, loss: 6.8426 2023-12-31 00:04:31,393 - pyskl - INFO - Epoch [56][900/3746] lr: 7.011e-02, eta: 2 days, 14:02:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5563, loss_cls: 6.7408, loss: 6.7408 2023-12-31 00:05:30,622 - pyskl - INFO - Epoch [56][1000/3746] lr: 7.008e-02, eta: 2 days, 14:01:38, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5411, loss_cls: 6.8174, loss: 6.8174 2023-12-31 00:06:29,897 - pyskl - INFO - Epoch [56][1100/3746] lr: 7.006e-02, eta: 2 days, 14:00:28, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3039, top5_acc: 0.5547, loss_cls: 6.7278, loss: 6.7278 2023-12-31 00:07:29,634 - pyskl - INFO - Epoch [56][1200/3746] lr: 7.003e-02, eta: 2 days, 13:59:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5445, loss_cls: 6.8112, loss: 6.8112 2023-12-31 00:08:29,125 - pyskl - INFO - Epoch [56][1300/3746] lr: 7.000e-02, eta: 2 days, 13:58:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5400, loss_cls: 6.8097, loss: 6.8097 2023-12-31 00:09:28,690 - pyskl - INFO - Epoch [56][1400/3746] lr: 6.998e-02, eta: 2 days, 13:57:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5381, loss_cls: 6.8126, loss: 6.8126 2023-12-31 00:10:28,140 - pyskl - INFO - Epoch [56][1500/3746] lr: 6.995e-02, eta: 2 days, 13:55:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5458, loss_cls: 6.7581, loss: 6.7581 2023-12-31 00:11:28,273 - pyskl - INFO - Epoch [56][1600/3746] lr: 6.993e-02, eta: 2 days, 13:54:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5402, loss_cls: 6.8027, loss: 6.8027 2023-12-31 00:12:28,205 - pyskl - INFO - Epoch [56][1700/3746] lr: 6.990e-02, eta: 2 days, 13:53:38, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2945, top5_acc: 0.5520, loss_cls: 6.7629, loss: 6.7629 2023-12-31 00:13:27,813 - pyskl - INFO - Epoch [56][1800/3746] lr: 6.988e-02, eta: 2 days, 13:52:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5516, loss_cls: 6.7545, loss: 6.7545 2023-12-31 00:14:27,699 - pyskl - INFO - Epoch [56][1900/3746] lr: 6.985e-02, eta: 2 days, 13:51:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5587, loss_cls: 6.7487, loss: 6.7487 2023-12-31 00:15:27,493 - pyskl - INFO - Epoch [56][2000/3746] lr: 6.983e-02, eta: 2 days, 13:50:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5366, loss_cls: 6.8094, loss: 6.8094 2023-12-31 00:16:27,483 - pyskl - INFO - Epoch [56][2100/3746] lr: 6.980e-02, eta: 2 days, 13:49:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5325, loss_cls: 6.8095, loss: 6.8095 2023-12-31 00:17:27,851 - pyskl - INFO - Epoch [56][2200/3746] lr: 6.977e-02, eta: 2 days, 13:47:58, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2945, top5_acc: 0.5506, loss_cls: 6.7430, loss: 6.7430 2023-12-31 00:18:27,430 - pyskl - INFO - Epoch [56][2300/3746] lr: 6.975e-02, eta: 2 days, 13:46:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5400, loss_cls: 6.8107, loss: 6.8107 2023-12-31 00:19:27,037 - pyskl - INFO - Epoch [56][2400/3746] lr: 6.972e-02, eta: 2 days, 13:45:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5514, loss_cls: 6.7870, loss: 6.7870 2023-12-31 00:20:26,490 - pyskl - INFO - Epoch [56][2500/3746] lr: 6.970e-02, eta: 2 days, 13:44:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5444, loss_cls: 6.7835, loss: 6.7835 2023-12-31 00:21:25,564 - pyskl - INFO - Epoch [56][2600/3746] lr: 6.967e-02, eta: 2 days, 13:43:23, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5472, loss_cls: 6.7792, loss: 6.7792 2023-12-31 00:22:24,596 - pyskl - INFO - Epoch [56][2700/3746] lr: 6.965e-02, eta: 2 days, 13:42:14, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5447, loss_cls: 6.7797, loss: 6.7797 2023-12-31 00:23:23,613 - pyskl - INFO - Epoch [56][2800/3746] lr: 6.962e-02, eta: 2 days, 13:41:04, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5458, loss_cls: 6.7925, loss: 6.7925 2023-12-31 00:24:22,784 - pyskl - INFO - Epoch [56][2900/3746] lr: 6.959e-02, eta: 2 days, 13:39:55, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5556, loss_cls: 6.7453, loss: 6.7453 2023-12-31 00:25:22,596 - pyskl - INFO - Epoch [56][3000/3746] lr: 6.957e-02, eta: 2 days, 13:38:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5522, loss_cls: 6.7713, loss: 6.7713 2023-12-31 00:26:22,559 - pyskl - INFO - Epoch [56][3100/3746] lr: 6.954e-02, eta: 2 days, 13:37:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2945, top5_acc: 0.5422, loss_cls: 6.8137, loss: 6.8137 2023-12-31 00:27:22,592 - pyskl - INFO - Epoch [56][3200/3746] lr: 6.952e-02, eta: 2 days, 13:36:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5403, loss_cls: 6.8235, loss: 6.8235 2023-12-31 00:28:22,191 - pyskl - INFO - Epoch [56][3300/3746] lr: 6.949e-02, eta: 2 days, 13:35:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5420, loss_cls: 6.7951, loss: 6.7951 2023-12-31 00:29:22,896 - pyskl - INFO - Epoch [56][3400/3746] lr: 6.947e-02, eta: 2 days, 13:34:16, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2897, top5_acc: 0.5503, loss_cls: 6.7776, loss: 6.7776 2023-12-31 00:30:23,135 - pyskl - INFO - Epoch [56][3500/3746] lr: 6.944e-02, eta: 2 days, 13:33:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5445, loss_cls: 6.7900, loss: 6.7900 2023-12-31 00:31:23,484 - pyskl - INFO - Epoch [56][3600/3746] lr: 6.941e-02, eta: 2 days, 13:32:02, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5303, loss_cls: 6.8247, loss: 6.8247 2023-12-31 00:32:24,044 - pyskl - INFO - Epoch [56][3700/3746] lr: 6.939e-02, eta: 2 days, 13:30:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2941, top5_acc: 0.5437, loss_cls: 6.7958, loss: 6.7958 2023-12-31 00:32:54,909 - pyskl - INFO - Saving checkpoint at 56 epochs 2023-12-31 00:34:55,261 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 00:34:56,327 - pyskl - INFO - top1_acc 0.2240 top5_acc 0.4492 2023-12-31 00:34:56,327 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 00:34:56,372 - pyskl - INFO - mean_acc 0.2236 2023-12-31 00:34:56,384 - pyskl - INFO - Epoch(val) [56][309] top1_acc: 0.2240, top5_acc: 0.4492, mean_class_accuracy: 0.2236 2023-12-31 00:38:18,366 - pyskl - INFO - Epoch [57][100/3746] lr: 6.935e-02, eta: 2 days, 13:32:28, time: 2.020, data_time: 1.426, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5584, loss_cls: 6.7205, loss: 6.7205 2023-12-31 00:39:17,922 - pyskl - INFO - Epoch [57][200/3746] lr: 6.932e-02, eta: 2 days, 13:31:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5669, loss_cls: 6.6793, loss: 6.6793 2023-12-31 00:40:17,341 - pyskl - INFO - Epoch [57][300/3746] lr: 6.930e-02, eta: 2 days, 13:30:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2978, top5_acc: 0.5527, loss_cls: 6.7167, loss: 6.7167 2023-12-31 00:41:17,567 - pyskl - INFO - Epoch [57][400/3746] lr: 6.927e-02, eta: 2 days, 13:29:03, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5480, loss_cls: 6.7664, loss: 6.7664 2023-12-31 00:42:17,527 - pyskl - INFO - Epoch [57][500/3746] lr: 6.925e-02, eta: 2 days, 13:27:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5639, loss_cls: 6.7180, loss: 6.7180 2023-12-31 00:43:17,301 - pyskl - INFO - Epoch [57][600/3746] lr: 6.922e-02, eta: 2 days, 13:26:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5392, loss_cls: 6.7909, loss: 6.7909 2023-12-31 00:44:17,641 - pyskl - INFO - Epoch [57][700/3746] lr: 6.920e-02, eta: 2 days, 13:25:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5545, loss_cls: 6.7356, loss: 6.7356 2023-12-31 00:45:17,697 - pyskl - INFO - Epoch [57][800/3746] lr: 6.917e-02, eta: 2 days, 13:24:32, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5408, loss_cls: 6.8055, loss: 6.8055 2023-12-31 00:46:17,482 - pyskl - INFO - Epoch [57][900/3746] lr: 6.914e-02, eta: 2 days, 13:23:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5475, loss_cls: 6.7733, loss: 6.7733 2023-12-31 00:47:16,855 - pyskl - INFO - Epoch [57][1000/3746] lr: 6.912e-02, eta: 2 days, 13:22:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5316, loss_cls: 6.8141, loss: 6.8141 2023-12-31 00:48:16,661 - pyskl - INFO - Epoch [57][1100/3746] lr: 6.909e-02, eta: 2 days, 13:21:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5420, loss_cls: 6.7860, loss: 6.7860 2023-12-31 00:49:16,294 - pyskl - INFO - Epoch [57][1200/3746] lr: 6.907e-02, eta: 2 days, 13:19:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3027, top5_acc: 0.5505, loss_cls: 6.7341, loss: 6.7341 2023-12-31 00:50:15,413 - pyskl - INFO - Epoch [57][1300/3746] lr: 6.904e-02, eta: 2 days, 13:18:49, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5528, loss_cls: 6.7629, loss: 6.7629 2023-12-31 00:51:14,945 - pyskl - INFO - Epoch [57][1400/3746] lr: 6.901e-02, eta: 2 days, 13:17:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5519, loss_cls: 6.7536, loss: 6.7536 2023-12-31 00:52:14,368 - pyskl - INFO - Epoch [57][1500/3746] lr: 6.899e-02, eta: 2 days, 13:16:32, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3009, top5_acc: 0.5523, loss_cls: 6.7716, loss: 6.7716 2023-12-31 00:53:14,017 - pyskl - INFO - Epoch [57][1600/3746] lr: 6.896e-02, eta: 2 days, 13:15:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5486, loss_cls: 6.7896, loss: 6.7896 2023-12-31 00:54:13,720 - pyskl - INFO - Epoch [57][1700/3746] lr: 6.894e-02, eta: 2 days, 13:14:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5530, loss_cls: 6.7677, loss: 6.7677 2023-12-31 00:55:13,544 - pyskl - INFO - Epoch [57][1800/3746] lr: 6.891e-02, eta: 2 days, 13:13:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5505, loss_cls: 6.7657, loss: 6.7657 2023-12-31 00:56:13,079 - pyskl - INFO - Epoch [57][1900/3746] lr: 6.889e-02, eta: 2 days, 13:11:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2941, top5_acc: 0.5564, loss_cls: 6.7519, loss: 6.7519 2023-12-31 00:57:12,937 - pyskl - INFO - Epoch [57][2000/3746] lr: 6.886e-02, eta: 2 days, 13:10:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5520, loss_cls: 6.7578, loss: 6.7578 2023-12-31 00:58:13,635 - pyskl - INFO - Epoch [57][2100/3746] lr: 6.883e-02, eta: 2 days, 13:09:44, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2928, top5_acc: 0.5548, loss_cls: 6.7564, loss: 6.7564 2023-12-31 00:59:13,913 - pyskl - INFO - Epoch [57][2200/3746] lr: 6.881e-02, eta: 2 days, 13:08:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5414, loss_cls: 6.8050, loss: 6.8050 2023-12-31 01:00:13,508 - pyskl - INFO - Epoch [57][2300/3746] lr: 6.878e-02, eta: 2 days, 13:07:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5477, loss_cls: 6.7553, loss: 6.7553 2023-12-31 01:01:13,036 - pyskl - INFO - Epoch [57][2400/3746] lr: 6.876e-02, eta: 2 days, 13:06:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5397, loss_cls: 6.8424, loss: 6.8424 2023-12-31 01:02:12,979 - pyskl - INFO - Epoch [57][2500/3746] lr: 6.873e-02, eta: 2 days, 13:05:13, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3013, top5_acc: 0.5563, loss_cls: 6.7262, loss: 6.7262 2023-12-31 01:03:12,515 - pyskl - INFO - Epoch [57][2600/3746] lr: 6.870e-02, eta: 2 days, 13:04:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5527, loss_cls: 6.7733, loss: 6.7733 2023-12-31 01:04:12,481 - pyskl - INFO - Epoch [57][2700/3746] lr: 6.868e-02, eta: 2 days, 13:02:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2875, top5_acc: 0.5417, loss_cls: 6.8112, loss: 6.8112 2023-12-31 01:05:12,980 - pyskl - INFO - Epoch [57][2800/3746] lr: 6.865e-02, eta: 2 days, 13:01:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5358, loss_cls: 6.8320, loss: 6.8320 2023-12-31 01:06:12,985 - pyskl - INFO - Epoch [57][2900/3746] lr: 6.863e-02, eta: 2 days, 13:00:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5500, loss_cls: 6.7649, loss: 6.7649 2023-12-31 01:07:13,221 - pyskl - INFO - Epoch [57][3000/3746] lr: 6.860e-02, eta: 2 days, 12:59:35, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5352, loss_cls: 6.8122, loss: 6.8122 2023-12-31 01:08:13,089 - pyskl - INFO - Epoch [57][3100/3746] lr: 6.857e-02, eta: 2 days, 12:58:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5453, loss_cls: 6.7735, loss: 6.7735 2023-12-31 01:09:12,713 - pyskl - INFO - Epoch [57][3200/3746] lr: 6.855e-02, eta: 2 days, 12:57:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2881, top5_acc: 0.5478, loss_cls: 6.8046, loss: 6.8046 2023-12-31 01:10:12,389 - pyskl - INFO - Epoch [57][3300/3746] lr: 6.852e-02, eta: 2 days, 12:56:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5366, loss_cls: 6.8185, loss: 6.8185 2023-12-31 01:11:12,930 - pyskl - INFO - Epoch [57][3400/3746] lr: 6.850e-02, eta: 2 days, 12:55:04, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5519, loss_cls: 6.7835, loss: 6.7835 2023-12-31 01:12:12,617 - pyskl - INFO - Epoch [57][3500/3746] lr: 6.847e-02, eta: 2 days, 12:53:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5478, loss_cls: 6.7796, loss: 6.7796 2023-12-31 01:13:12,770 - pyskl - INFO - Epoch [57][3600/3746] lr: 6.844e-02, eta: 2 days, 12:52:48, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2917, top5_acc: 0.5491, loss_cls: 6.7560, loss: 6.7560 2023-12-31 01:14:12,626 - pyskl - INFO - Epoch [57][3700/3746] lr: 6.842e-02, eta: 2 days, 12:51:40, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5470, loss_cls: 6.7987, loss: 6.7987 2023-12-31 01:14:42,912 - pyskl - INFO - Saving checkpoint at 57 epochs 2023-12-31 01:16:40,666 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 01:16:41,510 - pyskl - INFO - top1_acc 0.2085 top5_acc 0.4338 2023-12-31 01:16:41,510 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 01:16:41,543 - pyskl - INFO - mean_acc 0.2082 2023-12-31 01:16:41,552 - pyskl - INFO - Epoch(val) [57][309] top1_acc: 0.2085, top5_acc: 0.4338, mean_class_accuracy: 0.2082 2023-12-31 01:19:59,551 - pyskl - INFO - Epoch [58][100/3746] lr: 6.838e-02, eta: 2 days, 12:53:02, time: 1.980, data_time: 1.388, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5580, loss_cls: 6.7366, loss: 6.7366 2023-12-31 01:20:59,033 - pyskl - INFO - Epoch [58][200/3746] lr: 6.835e-02, eta: 2 days, 12:51:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5509, loss_cls: 6.7691, loss: 6.7691 2023-12-31 01:21:58,541 - pyskl - INFO - Epoch [58][300/3746] lr: 6.833e-02, eta: 2 days, 12:50:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2992, top5_acc: 0.5552, loss_cls: 6.7617, loss: 6.7617 2023-12-31 01:22:58,550 - pyskl - INFO - Epoch [58][400/3746] lr: 6.830e-02, eta: 2 days, 12:49:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5469, loss_cls: 6.7591, loss: 6.7591 2023-12-31 01:23:58,535 - pyskl - INFO - Epoch [58][500/3746] lr: 6.828e-02, eta: 2 days, 12:48:29, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5580, loss_cls: 6.7554, loss: 6.7554 2023-12-31 01:24:58,056 - pyskl - INFO - Epoch [58][600/3746] lr: 6.825e-02, eta: 2 days, 12:47:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5500, loss_cls: 6.7648, loss: 6.7648 2023-12-31 01:25:57,350 - pyskl - INFO - Epoch [58][700/3746] lr: 6.822e-02, eta: 2 days, 12:46:12, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5528, loss_cls: 6.7510, loss: 6.7510 2023-12-31 01:26:57,498 - pyskl - INFO - Epoch [58][800/3746] lr: 6.820e-02, eta: 2 days, 12:45:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5616, loss_cls: 6.6946, loss: 6.6946 2023-12-31 01:27:57,888 - pyskl - INFO - Epoch [58][900/3746] lr: 6.817e-02, eta: 2 days, 12:43:58, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3070, top5_acc: 0.5644, loss_cls: 6.7009, loss: 6.7009 2023-12-31 01:28:57,348 - pyskl - INFO - Epoch [58][1000/3746] lr: 6.815e-02, eta: 2 days, 12:42:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5413, loss_cls: 6.7928, loss: 6.7928 2023-12-31 01:29:56,907 - pyskl - INFO - Epoch [58][1100/3746] lr: 6.812e-02, eta: 2 days, 12:41:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5467, loss_cls: 6.7945, loss: 6.7945 2023-12-31 01:30:56,558 - pyskl - INFO - Epoch [58][1200/3746] lr: 6.809e-02, eta: 2 days, 12:40:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3017, top5_acc: 0.5548, loss_cls: 6.7321, loss: 6.7321 2023-12-31 01:31:56,063 - pyskl - INFO - Epoch [58][1300/3746] lr: 6.807e-02, eta: 2 days, 12:39:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5545, loss_cls: 6.7525, loss: 6.7525 2023-12-31 01:32:55,422 - pyskl - INFO - Epoch [58][1400/3746] lr: 6.804e-02, eta: 2 days, 12:38:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5511, loss_cls: 6.7755, loss: 6.7755 2023-12-31 01:33:54,920 - pyskl - INFO - Epoch [58][1500/3746] lr: 6.802e-02, eta: 2 days, 12:37:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5509, loss_cls: 6.7657, loss: 6.7657 2023-12-31 01:34:54,680 - pyskl - INFO - Epoch [58][1600/3746] lr: 6.799e-02, eta: 2 days, 12:35:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5541, loss_cls: 6.7521, loss: 6.7521 2023-12-31 01:35:54,253 - pyskl - INFO - Epoch [58][1700/3746] lr: 6.796e-02, eta: 2 days, 12:34:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2972, top5_acc: 0.5561, loss_cls: 6.7515, loss: 6.7515 2023-12-31 01:36:53,853 - pyskl - INFO - Epoch [58][1800/3746] lr: 6.794e-02, eta: 2 days, 12:33:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5425, loss_cls: 6.8059, loss: 6.8059 2023-12-31 01:37:53,593 - pyskl - INFO - Epoch [58][1900/3746] lr: 6.791e-02, eta: 2 days, 12:32:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5316, loss_cls: 6.8119, loss: 6.8119 2023-12-31 01:38:52,981 - pyskl - INFO - Epoch [58][2000/3746] lr: 6.789e-02, eta: 2 days, 12:31:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5527, loss_cls: 6.7394, loss: 6.7394 2023-12-31 01:39:52,950 - pyskl - INFO - Epoch [58][2100/3746] lr: 6.786e-02, eta: 2 days, 12:30:18, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2978, top5_acc: 0.5466, loss_cls: 6.7664, loss: 6.7664 2023-12-31 01:40:53,385 - pyskl - INFO - Epoch [58][2200/3746] lr: 6.783e-02, eta: 2 days, 12:29:11, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5544, loss_cls: 6.7484, loss: 6.7484 2023-12-31 01:41:53,642 - pyskl - INFO - Epoch [58][2300/3746] lr: 6.781e-02, eta: 2 days, 12:28:04, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2992, top5_acc: 0.5448, loss_cls: 6.7858, loss: 6.7858 2023-12-31 01:42:53,131 - pyskl - INFO - Epoch [58][2400/3746] lr: 6.778e-02, eta: 2 days, 12:26:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5473, loss_cls: 6.7711, loss: 6.7711 2023-12-31 01:43:52,829 - pyskl - INFO - Epoch [58][2500/3746] lr: 6.775e-02, eta: 2 days, 12:25:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5537, loss_cls: 6.7413, loss: 6.7413 2023-12-31 01:44:52,358 - pyskl - INFO - Epoch [58][2600/3746] lr: 6.773e-02, eta: 2 days, 12:24:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5378, loss_cls: 6.8326, loss: 6.8326 2023-12-31 01:45:51,892 - pyskl - INFO - Epoch [58][2700/3746] lr: 6.770e-02, eta: 2 days, 12:23:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3013, top5_acc: 0.5520, loss_cls: 6.7551, loss: 6.7551 2023-12-31 01:46:52,702 - pyskl - INFO - Epoch [58][2800/3746] lr: 6.768e-02, eta: 2 days, 12:22:25, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5455, loss_cls: 6.7929, loss: 6.7929 2023-12-31 01:47:52,291 - pyskl - INFO - Epoch [58][2900/3746] lr: 6.765e-02, eta: 2 days, 12:21:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5527, loss_cls: 6.7344, loss: 6.7344 2023-12-31 01:48:51,856 - pyskl - INFO - Epoch [58][3000/3746] lr: 6.762e-02, eta: 2 days, 12:20:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5402, loss_cls: 6.8212, loss: 6.8212 2023-12-31 01:49:51,558 - pyskl - INFO - Epoch [58][3100/3746] lr: 6.760e-02, eta: 2 days, 12:19:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5475, loss_cls: 6.7868, loss: 6.7868 2023-12-31 01:50:50,903 - pyskl - INFO - Epoch [58][3200/3746] lr: 6.757e-02, eta: 2 days, 12:17:52, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5378, loss_cls: 6.7902, loss: 6.7902 2023-12-31 01:51:50,395 - pyskl - INFO - Epoch [58][3300/3746] lr: 6.755e-02, eta: 2 days, 12:16:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5427, loss_cls: 6.7781, loss: 6.7781 2023-12-31 01:52:50,440 - pyskl - INFO - Epoch [58][3400/3746] lr: 6.752e-02, eta: 2 days, 12:15:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2917, top5_acc: 0.5419, loss_cls: 6.8187, loss: 6.8187 2023-12-31 01:53:51,437 - pyskl - INFO - Epoch [58][3500/3746] lr: 6.749e-02, eta: 2 days, 12:14:31, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5536, loss_cls: 6.7504, loss: 6.7504 2023-12-31 01:54:51,598 - pyskl - INFO - Epoch [58][3600/3746] lr: 6.747e-02, eta: 2 days, 12:13:23, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2966, top5_acc: 0.5417, loss_cls: 6.7882, loss: 6.7882 2023-12-31 01:55:51,676 - pyskl - INFO - Epoch [58][3700/3746] lr: 6.744e-02, eta: 2 days, 12:12:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5514, loss_cls: 6.7529, loss: 6.7529 2023-12-31 01:56:21,795 - pyskl - INFO - Saving checkpoint at 58 epochs 2023-12-31 01:58:24,119 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 01:58:25,192 - pyskl - INFO - top1_acc 0.2114 top5_acc 0.4460 2023-12-31 01:58:25,192 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 01:58:25,231 - pyskl - INFO - mean_acc 0.2112 2023-12-31 01:58:25,240 - pyskl - INFO - Epoch(val) [58][309] top1_acc: 0.2114, top5_acc: 0.4460, mean_class_accuracy: 0.2112 2023-12-31 02:01:48,090 - pyskl - INFO - Epoch [59][100/3746] lr: 6.740e-02, eta: 2 days, 12:13:40, time: 2.028, data_time: 1.430, memory: 16177, top1_acc: 0.3044, top5_acc: 0.5641, loss_cls: 6.7094, loss: 6.7094 2023-12-31 02:02:47,593 - pyskl - INFO - Epoch [59][200/3746] lr: 6.738e-02, eta: 2 days, 12:12:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3017, top5_acc: 0.5541, loss_cls: 6.7283, loss: 6.7283 2023-12-31 02:03:46,698 - pyskl - INFO - Epoch [59][300/3746] lr: 6.735e-02, eta: 2 days, 12:11:23, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5516, loss_cls: 6.7691, loss: 6.7691 2023-12-31 02:04:46,274 - pyskl - INFO - Epoch [59][400/3746] lr: 6.732e-02, eta: 2 days, 12:10:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5550, loss_cls: 6.7286, loss: 6.7286 2023-12-31 02:05:46,287 - pyskl - INFO - Epoch [59][500/3746] lr: 6.730e-02, eta: 2 days, 12:09:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5450, loss_cls: 6.7725, loss: 6.7725 2023-12-31 02:06:45,860 - pyskl - INFO - Epoch [59][600/3746] lr: 6.727e-02, eta: 2 days, 12:07:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5572, loss_cls: 6.7262, loss: 6.7262 2023-12-31 02:07:45,899 - pyskl - INFO - Epoch [59][700/3746] lr: 6.725e-02, eta: 2 days, 12:06:51, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5431, loss_cls: 6.7567, loss: 6.7567 2023-12-31 02:08:46,126 - pyskl - INFO - Epoch [59][800/3746] lr: 6.722e-02, eta: 2 days, 12:05:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5589, loss_cls: 6.7168, loss: 6.7168 2023-12-31 02:09:46,257 - pyskl - INFO - Epoch [59][900/3746] lr: 6.719e-02, eta: 2 days, 12:04:37, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5511, loss_cls: 6.7745, loss: 6.7745 2023-12-31 02:10:45,363 - pyskl - INFO - Epoch [59][1000/3746] lr: 6.717e-02, eta: 2 days, 12:03:28, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5531, loss_cls: 6.7135, loss: 6.7135 2023-12-31 02:11:44,974 - pyskl - INFO - Epoch [59][1100/3746] lr: 6.714e-02, eta: 2 days, 12:02:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5420, loss_cls: 6.7768, loss: 6.7768 2023-12-31 02:12:44,221 - pyskl - INFO - Epoch [59][1200/3746] lr: 6.711e-02, eta: 2 days, 12:01:11, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5422, loss_cls: 6.7939, loss: 6.7939 2023-12-31 02:13:44,367 - pyskl - INFO - Epoch [59][1300/3746] lr: 6.709e-02, eta: 2 days, 12:00:04, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5575, loss_cls: 6.7223, loss: 6.7223 2023-12-31 02:14:43,889 - pyskl - INFO - Epoch [59][1400/3746] lr: 6.706e-02, eta: 2 days, 11:58:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2917, top5_acc: 0.5405, loss_cls: 6.7896, loss: 6.7896 2023-12-31 02:15:44,087 - pyskl - INFO - Epoch [59][1500/3746] lr: 6.704e-02, eta: 2 days, 11:57:48, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5591, loss_cls: 6.7311, loss: 6.7311 2023-12-31 02:16:44,387 - pyskl - INFO - Epoch [59][1600/3746] lr: 6.701e-02, eta: 2 days, 11:56:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5497, loss_cls: 6.7323, loss: 6.7323 2023-12-31 02:17:44,070 - pyskl - INFO - Epoch [59][1700/3746] lr: 6.698e-02, eta: 2 days, 11:55:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5383, loss_cls: 6.8181, loss: 6.8181 2023-12-31 02:18:43,791 - pyskl - INFO - Epoch [59][1800/3746] lr: 6.696e-02, eta: 2 days, 11:54:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5564, loss_cls: 6.7247, loss: 6.7247 2023-12-31 02:19:43,365 - pyskl - INFO - Epoch [59][1900/3746] lr: 6.693e-02, eta: 2 days, 11:53:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3044, top5_acc: 0.5569, loss_cls: 6.7327, loss: 6.7327 2023-12-31 02:20:42,735 - pyskl - INFO - Epoch [59][2000/3746] lr: 6.690e-02, eta: 2 days, 11:52:09, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5430, loss_cls: 6.7992, loss: 6.7992 2023-12-31 02:21:42,099 - pyskl - INFO - Epoch [59][2100/3746] lr: 6.688e-02, eta: 2 days, 11:51:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5397, loss_cls: 6.8204, loss: 6.8204 2023-12-31 02:22:42,292 - pyskl - INFO - Epoch [59][2200/3746] lr: 6.685e-02, eta: 2 days, 11:49:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5513, loss_cls: 6.7578, loss: 6.7578 2023-12-31 02:23:42,822 - pyskl - INFO - Epoch [59][2300/3746] lr: 6.682e-02, eta: 2 days, 11:48:47, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5514, loss_cls: 6.7455, loss: 6.7455 2023-12-31 02:24:42,250 - pyskl - INFO - Epoch [59][2400/3746] lr: 6.680e-02, eta: 2 days, 11:47:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5447, loss_cls: 6.7506, loss: 6.7506 2023-12-31 02:25:41,382 - pyskl - INFO - Epoch [59][2500/3746] lr: 6.677e-02, eta: 2 days, 11:46:30, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5500, loss_cls: 6.7747, loss: 6.7747 2023-12-31 02:26:41,137 - pyskl - INFO - Epoch [59][2600/3746] lr: 6.675e-02, eta: 2 days, 11:45:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5442, loss_cls: 6.8020, loss: 6.8020 2023-12-31 02:27:40,293 - pyskl - INFO - Epoch [59][2700/3746] lr: 6.672e-02, eta: 2 days, 11:44:13, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5500, loss_cls: 6.7303, loss: 6.7303 2023-12-31 02:28:39,421 - pyskl - INFO - Epoch [59][2800/3746] lr: 6.669e-02, eta: 2 days, 11:43:05, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5472, loss_cls: 6.7826, loss: 6.7826 2023-12-31 02:29:38,642 - pyskl - INFO - Epoch [59][2900/3746] lr: 6.667e-02, eta: 2 days, 11:41:56, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5433, loss_cls: 6.7930, loss: 6.7930 2023-12-31 02:30:37,890 - pyskl - INFO - Epoch [59][3000/3746] lr: 6.664e-02, eta: 2 days, 11:40:47, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5447, loss_cls: 6.7724, loss: 6.7724 2023-12-31 02:31:37,286 - pyskl - INFO - Epoch [59][3100/3746] lr: 6.661e-02, eta: 2 days, 11:39:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5487, loss_cls: 6.7814, loss: 6.7814 2023-12-31 02:32:36,869 - pyskl - INFO - Epoch [59][3200/3746] lr: 6.659e-02, eta: 2 days, 11:38:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5534, loss_cls: 6.7610, loss: 6.7610 2023-12-31 02:33:36,139 - pyskl - INFO - Epoch [59][3300/3746] lr: 6.656e-02, eta: 2 days, 11:37:23, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5548, loss_cls: 6.7357, loss: 6.7357 2023-12-31 02:34:35,784 - pyskl - INFO - Epoch [59][3400/3746] lr: 6.653e-02, eta: 2 days, 11:36:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2866, top5_acc: 0.5450, loss_cls: 6.8190, loss: 6.8190 2023-12-31 02:35:35,154 - pyskl - INFO - Epoch [59][3500/3746] lr: 6.651e-02, eta: 2 days, 11:35:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5427, loss_cls: 6.7905, loss: 6.7905 2023-12-31 02:36:34,479 - pyskl - INFO - Epoch [59][3600/3746] lr: 6.648e-02, eta: 2 days, 11:33:58, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5617, loss_cls: 6.7293, loss: 6.7293 2023-12-31 02:37:33,915 - pyskl - INFO - Epoch [59][3700/3746] lr: 6.646e-02, eta: 2 days, 11:32:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5416, loss_cls: 6.7942, loss: 6.7942 2023-12-31 02:38:04,433 - pyskl - INFO - Saving checkpoint at 59 epochs 2023-12-31 02:40:04,738 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 02:40:05,527 - pyskl - INFO - top1_acc 0.2216 top5_acc 0.4481 2023-12-31 02:40:05,528 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 02:40:05,582 - pyskl - INFO - mean_acc 0.2214 2023-12-31 02:40:05,598 - pyskl - INFO - Epoch(val) [59][309] top1_acc: 0.2216, top5_acc: 0.4481, mean_class_accuracy: 0.2214 2023-12-31 02:43:25,208 - pyskl - INFO - Epoch [60][100/3746] lr: 6.642e-02, eta: 2 days, 11:34:04, time: 1.996, data_time: 1.402, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5673, loss_cls: 6.7001, loss: 6.7001 2023-12-31 02:44:24,909 - pyskl - INFO - Epoch [60][200/3746] lr: 6.639e-02, eta: 2 days, 11:32:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5469, loss_cls: 6.7626, loss: 6.7626 2023-12-31 02:45:24,241 - pyskl - INFO - Epoch [60][300/3746] lr: 6.636e-02, eta: 2 days, 11:31:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5602, loss_cls: 6.6898, loss: 6.6898 2023-12-31 02:46:24,169 - pyskl - INFO - Epoch [60][400/3746] lr: 6.634e-02, eta: 2 days, 11:30:40, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5603, loss_cls: 6.6920, loss: 6.6920 2023-12-31 02:47:24,781 - pyskl - INFO - Epoch [60][500/3746] lr: 6.631e-02, eta: 2 days, 11:29:34, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3038, top5_acc: 0.5563, loss_cls: 6.7174, loss: 6.7174 2023-12-31 02:48:24,178 - pyskl - INFO - Epoch [60][600/3746] lr: 6.629e-02, eta: 2 days, 11:28:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5563, loss_cls: 6.7585, loss: 6.7585 2023-12-31 02:49:24,300 - pyskl - INFO - Epoch [60][700/3746] lr: 6.626e-02, eta: 2 days, 11:27:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5580, loss_cls: 6.7217, loss: 6.7217 2023-12-31 02:50:24,411 - pyskl - INFO - Epoch [60][800/3746] lr: 6.623e-02, eta: 2 days, 11:26:11, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5575, loss_cls: 6.7493, loss: 6.7493 2023-12-31 02:51:24,149 - pyskl - INFO - Epoch [60][900/3746] lr: 6.621e-02, eta: 2 days, 11:25:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5472, loss_cls: 6.7554, loss: 6.7554 2023-12-31 02:52:23,902 - pyskl - INFO - Epoch [60][1000/3746] lr: 6.618e-02, eta: 2 days, 11:23:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5525, loss_cls: 6.7756, loss: 6.7756 2023-12-31 02:53:23,349 - pyskl - INFO - Epoch [60][1100/3746] lr: 6.615e-02, eta: 2 days, 11:22:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5523, loss_cls: 6.7628, loss: 6.7628 2023-12-31 02:54:22,981 - pyskl - INFO - Epoch [60][1200/3746] lr: 6.613e-02, eta: 2 days, 11:21:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5486, loss_cls: 6.7525, loss: 6.7525 2023-12-31 02:55:22,265 - pyskl - INFO - Epoch [60][1300/3746] lr: 6.610e-02, eta: 2 days, 11:20:31, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5483, loss_cls: 6.7622, loss: 6.7622 2023-12-31 02:56:21,735 - pyskl - INFO - Epoch [60][1400/3746] lr: 6.607e-02, eta: 2 days, 11:19:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3058, top5_acc: 0.5580, loss_cls: 6.7141, loss: 6.7141 2023-12-31 02:57:21,025 - pyskl - INFO - Epoch [60][1500/3746] lr: 6.605e-02, eta: 2 days, 11:18:14, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2966, top5_acc: 0.5509, loss_cls: 6.7602, loss: 6.7602 2023-12-31 02:58:20,632 - pyskl - INFO - Epoch [60][1600/3746] lr: 6.602e-02, eta: 2 days, 11:17:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5303, loss_cls: 6.8520, loss: 6.8520 2023-12-31 02:59:20,291 - pyskl - INFO - Epoch [60][1700/3746] lr: 6.599e-02, eta: 2 days, 11:15:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5486, loss_cls: 6.7628, loss: 6.7628 2023-12-31 03:00:19,802 - pyskl - INFO - Epoch [60][1800/3746] lr: 6.597e-02, eta: 2 days, 11:14:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5491, loss_cls: 6.7461, loss: 6.7461 2023-12-31 03:01:19,396 - pyskl - INFO - Epoch [60][1900/3746] lr: 6.594e-02, eta: 2 days, 11:13:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5437, loss_cls: 6.7848, loss: 6.7848 2023-12-31 03:02:18,815 - pyskl - INFO - Epoch [60][2000/3746] lr: 6.591e-02, eta: 2 days, 11:12:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3034, top5_acc: 0.5561, loss_cls: 6.7246, loss: 6.7246 2023-12-31 03:03:18,120 - pyskl - INFO - Epoch [60][2100/3746] lr: 6.589e-02, eta: 2 days, 11:11:26, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5559, loss_cls: 6.7532, loss: 6.7532 2023-12-31 03:04:17,986 - pyskl - INFO - Epoch [60][2200/3746] lr: 6.586e-02, eta: 2 days, 11:10:18, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5519, loss_cls: 6.7307, loss: 6.7307 2023-12-31 03:05:18,481 - pyskl - INFO - Epoch [60][2300/3746] lr: 6.584e-02, eta: 2 days, 11:09:12, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3044, top5_acc: 0.5537, loss_cls: 6.7238, loss: 6.7238 2023-12-31 03:06:18,198 - pyskl - INFO - Epoch [60][2400/3746] lr: 6.581e-02, eta: 2 days, 11:08:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5437, loss_cls: 6.7870, loss: 6.7870 2023-12-31 03:07:17,420 - pyskl - INFO - Epoch [60][2500/3746] lr: 6.578e-02, eta: 2 days, 11:06:56, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5611, loss_cls: 6.7096, loss: 6.7096 2023-12-31 03:08:17,077 - pyskl - INFO - Epoch [60][2600/3746] lr: 6.576e-02, eta: 2 days, 11:05:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5567, loss_cls: 6.7629, loss: 6.7629 2023-12-31 03:09:16,547 - pyskl - INFO - Epoch [60][2700/3746] lr: 6.573e-02, eta: 2 days, 11:04:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3008, top5_acc: 0.5634, loss_cls: 6.7074, loss: 6.7074 2023-12-31 03:10:16,009 - pyskl - INFO - Epoch [60][2800/3746] lr: 6.570e-02, eta: 2 days, 11:03:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5428, loss_cls: 6.8073, loss: 6.8073 2023-12-31 03:11:15,341 - pyskl - INFO - Epoch [60][2900/3746] lr: 6.568e-02, eta: 2 days, 11:02:24, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5536, loss_cls: 6.7550, loss: 6.7550 2023-12-31 03:12:14,719 - pyskl - INFO - Epoch [60][3000/3746] lr: 6.565e-02, eta: 2 days, 11:01:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5422, loss_cls: 6.8214, loss: 6.8214 2023-12-31 03:13:14,371 - pyskl - INFO - Epoch [60][3100/3746] lr: 6.562e-02, eta: 2 days, 11:00:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5534, loss_cls: 6.7353, loss: 6.7353 2023-12-31 03:14:14,502 - pyskl - INFO - Epoch [60][3200/3746] lr: 6.560e-02, eta: 2 days, 10:59:01, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2978, top5_acc: 0.5527, loss_cls: 6.7405, loss: 6.7405 2023-12-31 03:15:14,198 - pyskl - INFO - Epoch [60][3300/3746] lr: 6.557e-02, eta: 2 days, 10:57:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2928, top5_acc: 0.5425, loss_cls: 6.7893, loss: 6.7893 2023-12-31 03:16:14,735 - pyskl - INFO - Epoch [60][3400/3746] lr: 6.554e-02, eta: 2 days, 10:56:47, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2972, top5_acc: 0.5456, loss_cls: 6.7783, loss: 6.7783 2023-12-31 03:17:15,034 - pyskl - INFO - Epoch [60][3500/3746] lr: 6.552e-02, eta: 2 days, 10:55:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5489, loss_cls: 6.7415, loss: 6.7415 2023-12-31 03:18:15,319 - pyskl - INFO - Epoch [60][3600/3746] lr: 6.549e-02, eta: 2 days, 10:54:33, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5423, loss_cls: 6.8114, loss: 6.8114 2023-12-31 03:19:14,844 - pyskl - INFO - Epoch [60][3700/3746] lr: 6.546e-02, eta: 2 days, 10:53:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5503, loss_cls: 6.7699, loss: 6.7699 2023-12-31 03:19:44,458 - pyskl - INFO - Saving checkpoint at 60 epochs 2023-12-31 03:21:45,468 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 03:21:46,496 - pyskl - INFO - top1_acc 0.2006 top5_acc 0.4357 2023-12-31 03:21:46,497 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 03:21:46,530 - pyskl - INFO - mean_acc 0.2005 2023-12-31 03:21:46,542 - pyskl - INFO - Epoch(val) [60][309] top1_acc: 0.2006, top5_acc: 0.4357, mean_class_accuracy: 0.2005 2023-12-31 03:25:15,851 - pyskl - INFO - Epoch [61][100/3746] lr: 6.542e-02, eta: 2 days, 10:54:49, time: 2.093, data_time: 1.500, memory: 16177, top1_acc: 0.3034, top5_acc: 0.5589, loss_cls: 6.7185, loss: 6.7185 2023-12-31 03:26:15,536 - pyskl - INFO - Epoch [61][200/3746] lr: 6.540e-02, eta: 2 days, 10:53:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3081, top5_acc: 0.5639, loss_cls: 6.6947, loss: 6.6947 2023-12-31 03:27:14,823 - pyskl - INFO - Epoch [61][300/3746] lr: 6.537e-02, eta: 2 days, 10:52:33, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5577, loss_cls: 6.7187, loss: 6.7187 2023-12-31 03:28:14,550 - pyskl - INFO - Epoch [61][400/3746] lr: 6.534e-02, eta: 2 days, 10:51:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5587, loss_cls: 6.7112, loss: 6.7112 2023-12-31 03:29:15,052 - pyskl - INFO - Epoch [61][500/3746] lr: 6.532e-02, eta: 2 days, 10:50:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5552, loss_cls: 6.7271, loss: 6.7271 2023-12-31 03:30:14,731 - pyskl - INFO - Epoch [61][600/3746] lr: 6.529e-02, eta: 2 days, 10:49:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5516, loss_cls: 6.7400, loss: 6.7400 2023-12-31 03:31:15,242 - pyskl - INFO - Epoch [61][700/3746] lr: 6.526e-02, eta: 2 days, 10:48:05, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2970, top5_acc: 0.5494, loss_cls: 6.7533, loss: 6.7533 2023-12-31 03:32:14,998 - pyskl - INFO - Epoch [61][800/3746] lr: 6.524e-02, eta: 2 days, 10:46:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2983, top5_acc: 0.5500, loss_cls: 6.7595, loss: 6.7595 2023-12-31 03:33:15,258 - pyskl - INFO - Epoch [61][900/3746] lr: 6.521e-02, eta: 2 days, 10:45:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5536, loss_cls: 6.7396, loss: 6.7396 2023-12-31 03:34:15,063 - pyskl - INFO - Epoch [61][1000/3746] lr: 6.519e-02, eta: 2 days, 10:44:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5559, loss_cls: 6.7315, loss: 6.7315 2023-12-31 03:35:14,842 - pyskl - INFO - Epoch [61][1100/3746] lr: 6.516e-02, eta: 2 days, 10:43:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2881, top5_acc: 0.5378, loss_cls: 6.7933, loss: 6.7933 2023-12-31 03:36:14,211 - pyskl - INFO - Epoch [61][1200/3746] lr: 6.513e-02, eta: 2 days, 10:42:27, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5614, loss_cls: 6.7347, loss: 6.7347 2023-12-31 03:37:13,828 - pyskl - INFO - Epoch [61][1300/3746] lr: 6.511e-02, eta: 2 days, 10:41:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5530, loss_cls: 6.7364, loss: 6.7364 2023-12-31 03:38:13,417 - pyskl - INFO - Epoch [61][1400/3746] lr: 6.508e-02, eta: 2 days, 10:40:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5531, loss_cls: 6.7250, loss: 6.7250 2023-12-31 03:39:12,772 - pyskl - INFO - Epoch [61][1500/3746] lr: 6.505e-02, eta: 2 days, 10:39:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5505, loss_cls: 6.7300, loss: 6.7300 2023-12-31 03:40:12,299 - pyskl - INFO - Epoch [61][1600/3746] lr: 6.503e-02, eta: 2 days, 10:37:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5520, loss_cls: 6.7625, loss: 6.7625 2023-12-31 03:41:11,742 - pyskl - INFO - Epoch [61][1700/3746] lr: 6.500e-02, eta: 2 days, 10:36:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5592, loss_cls: 6.7108, loss: 6.7108 2023-12-31 03:42:11,408 - pyskl - INFO - Epoch [61][1800/3746] lr: 6.497e-02, eta: 2 days, 10:35:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5536, loss_cls: 6.7540, loss: 6.7540 2023-12-31 03:43:11,595 - pyskl - INFO - Epoch [61][1900/3746] lr: 6.495e-02, eta: 2 days, 10:34:33, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3044, top5_acc: 0.5527, loss_cls: 6.7520, loss: 6.7520 2023-12-31 03:44:12,016 - pyskl - INFO - Epoch [61][2000/3746] lr: 6.492e-02, eta: 2 days, 10:33:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2941, top5_acc: 0.5466, loss_cls: 6.7956, loss: 6.7956 2023-12-31 03:45:11,499 - pyskl - INFO - Epoch [61][2100/3746] lr: 6.489e-02, eta: 2 days, 10:32:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5561, loss_cls: 6.7460, loss: 6.7460 2023-12-31 03:46:10,895 - pyskl - INFO - Epoch [61][2200/3746] lr: 6.487e-02, eta: 2 days, 10:31:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5613, loss_cls: 6.6915, loss: 6.6915 2023-12-31 03:47:10,787 - pyskl - INFO - Epoch [61][2300/3746] lr: 6.484e-02, eta: 2 days, 10:30:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5425, loss_cls: 6.7843, loss: 6.7843 2023-12-31 03:48:10,606 - pyskl - INFO - Epoch [61][2400/3746] lr: 6.481e-02, eta: 2 days, 10:28:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5644, loss_cls: 6.6907, loss: 6.6907 2023-12-31 03:49:10,190 - pyskl - INFO - Epoch [61][2500/3746] lr: 6.478e-02, eta: 2 days, 10:27:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5539, loss_cls: 6.7702, loss: 6.7702 2023-12-31 03:50:09,912 - pyskl - INFO - Epoch [61][2600/3746] lr: 6.476e-02, eta: 2 days, 10:26:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2966, top5_acc: 0.5539, loss_cls: 6.7206, loss: 6.7206 2023-12-31 03:51:09,614 - pyskl - INFO - Epoch [61][2700/3746] lr: 6.473e-02, eta: 2 days, 10:25:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3017, top5_acc: 0.5545, loss_cls: 6.7454, loss: 6.7454 2023-12-31 03:52:09,204 - pyskl - INFO - Epoch [61][2800/3746] lr: 6.470e-02, eta: 2 days, 10:24:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5480, loss_cls: 6.7805, loss: 6.7805 2023-12-31 03:53:08,533 - pyskl - INFO - Epoch [61][2900/3746] lr: 6.468e-02, eta: 2 days, 10:23:16, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5483, loss_cls: 6.7422, loss: 6.7422 2023-12-31 03:54:08,502 - pyskl - INFO - Epoch [61][3000/3746] lr: 6.465e-02, eta: 2 days, 10:22:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3008, top5_acc: 0.5519, loss_cls: 6.7614, loss: 6.7614 2023-12-31 03:55:08,511 - pyskl - INFO - Epoch [61][3100/3746] lr: 6.462e-02, eta: 2 days, 10:21:02, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2972, top5_acc: 0.5569, loss_cls: 6.7607, loss: 6.7607 2023-12-31 03:56:08,674 - pyskl - INFO - Epoch [61][3200/3746] lr: 6.460e-02, eta: 2 days, 10:19:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5395, loss_cls: 6.8125, loss: 6.8125 2023-12-31 03:57:08,474 - pyskl - INFO - Epoch [61][3300/3746] lr: 6.457e-02, eta: 2 days, 10:18:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5508, loss_cls: 6.7670, loss: 6.7670 2023-12-31 03:58:08,307 - pyskl - INFO - Epoch [61][3400/3746] lr: 6.454e-02, eta: 2 days, 10:17:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5505, loss_cls: 6.7398, loss: 6.7398 2023-12-31 03:59:08,276 - pyskl - INFO - Epoch [61][3500/3746] lr: 6.452e-02, eta: 2 days, 10:16:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5523, loss_cls: 6.7633, loss: 6.7633 2023-12-31 04:00:08,240 - pyskl - INFO - Epoch [61][3600/3746] lr: 6.449e-02, eta: 2 days, 10:15:26, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5541, loss_cls: 6.7654, loss: 6.7654 2023-12-31 04:01:08,254 - pyskl - INFO - Epoch [61][3700/3746] lr: 6.446e-02, eta: 2 days, 10:14:19, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3025, top5_acc: 0.5522, loss_cls: 6.7488, loss: 6.7488 2023-12-31 04:01:39,332 - pyskl - INFO - Saving checkpoint at 61 epochs 2023-12-31 04:03:40,401 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 04:03:41,476 - pyskl - INFO - top1_acc 0.2239 top5_acc 0.4679 2023-12-31 04:03:41,476 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 04:03:41,517 - pyskl - INFO - mean_acc 0.2236 2023-12-31 04:03:41,528 - pyskl - INFO - Epoch(val) [61][309] top1_acc: 0.2239, top5_acc: 0.4679, mean_class_accuracy: 0.2236 2023-12-31 04:07:09,752 - pyskl - INFO - Epoch [62][100/3746] lr: 6.443e-02, eta: 2 days, 10:15:37, time: 2.082, data_time: 1.490, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5497, loss_cls: 6.7563, loss: 6.7563 2023-12-31 04:08:09,119 - pyskl - INFO - Epoch [62][200/3746] lr: 6.440e-02, eta: 2 days, 10:14:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3061, top5_acc: 0.5653, loss_cls: 6.6722, loss: 6.6722 2023-12-31 04:09:08,468 - pyskl - INFO - Epoch [62][300/3746] lr: 6.437e-02, eta: 2 days, 10:13:21, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5603, loss_cls: 6.7373, loss: 6.7373 2023-12-31 04:10:08,240 - pyskl - INFO - Epoch [62][400/3746] lr: 6.434e-02, eta: 2 days, 10:12:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5602, loss_cls: 6.6931, loss: 6.6931 2023-12-31 04:11:09,361 - pyskl - INFO - Epoch [62][500/3746] lr: 6.432e-02, eta: 2 days, 10:11:08, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5592, loss_cls: 6.7548, loss: 6.7548 2023-12-31 04:12:09,189 - pyskl - INFO - Epoch [62][600/3746] lr: 6.429e-02, eta: 2 days, 10:10:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5528, loss_cls: 6.7337, loss: 6.7337 2023-12-31 04:13:08,786 - pyskl - INFO - Epoch [62][700/3746] lr: 6.426e-02, eta: 2 days, 10:08:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3047, top5_acc: 0.5656, loss_cls: 6.7042, loss: 6.7042 2023-12-31 04:14:08,857 - pyskl - INFO - Epoch [62][800/3746] lr: 6.424e-02, eta: 2 days, 10:07:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5559, loss_cls: 6.7142, loss: 6.7142 2023-12-31 04:15:09,060 - pyskl - INFO - Epoch [62][900/3746] lr: 6.421e-02, eta: 2 days, 10:06:39, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2945, top5_acc: 0.5559, loss_cls: 6.7231, loss: 6.7231 2023-12-31 04:16:09,200 - pyskl - INFO - Epoch [62][1000/3746] lr: 6.418e-02, eta: 2 days, 10:05:32, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2997, top5_acc: 0.5489, loss_cls: 6.7526, loss: 6.7526 2023-12-31 04:17:08,678 - pyskl - INFO - Epoch [62][1100/3746] lr: 6.416e-02, eta: 2 days, 10:04:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5461, loss_cls: 6.7503, loss: 6.7503 2023-12-31 04:18:08,022 - pyskl - INFO - Epoch [62][1200/3746] lr: 6.413e-02, eta: 2 days, 10:03:16, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3122, top5_acc: 0.5630, loss_cls: 6.6829, loss: 6.6829 2023-12-31 04:19:07,291 - pyskl - INFO - Epoch [62][1300/3746] lr: 6.410e-02, eta: 2 days, 10:02:08, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5536, loss_cls: 6.7286, loss: 6.7286 2023-12-31 04:20:06,635 - pyskl - INFO - Epoch [62][1400/3746] lr: 6.408e-02, eta: 2 days, 10:00:59, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5523, loss_cls: 6.7232, loss: 6.7232 2023-12-31 04:21:05,894 - pyskl - INFO - Epoch [62][1500/3746] lr: 6.405e-02, eta: 2 days, 9:59:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2978, top5_acc: 0.5594, loss_cls: 6.7224, loss: 6.7224 2023-12-31 04:22:05,572 - pyskl - INFO - Epoch [62][1600/3746] lr: 6.402e-02, eta: 2 days, 9:58:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3089, top5_acc: 0.5687, loss_cls: 6.7164, loss: 6.7164 2023-12-31 04:23:05,209 - pyskl - INFO - Epoch [62][1700/3746] lr: 6.400e-02, eta: 2 days, 9:57:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5520, loss_cls: 6.7502, loss: 6.7502 2023-12-31 04:24:04,427 - pyskl - INFO - Epoch [62][1800/3746] lr: 6.397e-02, eta: 2 days, 9:56:28, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5478, loss_cls: 6.7753, loss: 6.7753 2023-12-31 04:25:03,881 - pyskl - INFO - Epoch [62][1900/3746] lr: 6.394e-02, eta: 2 days, 9:55:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3080, top5_acc: 0.5650, loss_cls: 6.6905, loss: 6.6905 2023-12-31 04:26:03,259 - pyskl - INFO - Epoch [62][2000/3746] lr: 6.392e-02, eta: 2 days, 9:54:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2897, top5_acc: 0.5506, loss_cls: 6.7774, loss: 6.7774 2023-12-31 04:27:02,699 - pyskl - INFO - Epoch [62][2100/3746] lr: 6.389e-02, eta: 2 days, 9:53:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5420, loss_cls: 6.7685, loss: 6.7685 2023-12-31 04:28:02,229 - pyskl - INFO - Epoch [62][2200/3746] lr: 6.386e-02, eta: 2 days, 9:51:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5509, loss_cls: 6.8030, loss: 6.8030 2023-12-31 04:29:02,908 - pyskl - INFO - Epoch [62][2300/3746] lr: 6.384e-02, eta: 2 days, 9:50:50, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5434, loss_cls: 6.7760, loss: 6.7760 2023-12-31 04:30:02,940 - pyskl - INFO - Epoch [62][2400/3746] lr: 6.381e-02, eta: 2 days, 9:49:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5433, loss_cls: 6.7761, loss: 6.7761 2023-12-31 04:31:02,369 - pyskl - INFO - Epoch [62][2500/3746] lr: 6.378e-02, eta: 2 days, 9:48:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5609, loss_cls: 6.7338, loss: 6.7338 2023-12-31 04:32:01,747 - pyskl - INFO - Epoch [62][2600/3746] lr: 6.375e-02, eta: 2 days, 9:47:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5439, loss_cls: 6.7711, loss: 6.7711 2023-12-31 04:33:01,195 - pyskl - INFO - Epoch [62][2700/3746] lr: 6.373e-02, eta: 2 days, 9:46:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5567, loss_cls: 6.7437, loss: 6.7437 2023-12-31 04:34:00,583 - pyskl - INFO - Epoch [62][2800/3746] lr: 6.370e-02, eta: 2 days, 9:45:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5539, loss_cls: 6.7387, loss: 6.7387 2023-12-31 04:35:00,010 - pyskl - INFO - Epoch [62][2900/3746] lr: 6.367e-02, eta: 2 days, 9:44:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5427, loss_cls: 6.8069, loss: 6.8069 2023-12-31 04:35:59,802 - pyskl - INFO - Epoch [62][3000/3746] lr: 6.365e-02, eta: 2 days, 9:42:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5506, loss_cls: 6.7638, loss: 6.7638 2023-12-31 04:36:59,359 - pyskl - INFO - Epoch [62][3100/3746] lr: 6.362e-02, eta: 2 days, 9:41:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2928, top5_acc: 0.5373, loss_cls: 6.8119, loss: 6.8119 2023-12-31 04:37:59,748 - pyskl - INFO - Epoch [62][3200/3746] lr: 6.359e-02, eta: 2 days, 9:40:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2911, top5_acc: 0.5463, loss_cls: 6.7802, loss: 6.7802 2023-12-31 04:38:59,703 - pyskl - INFO - Epoch [62][3300/3746] lr: 6.357e-02, eta: 2 days, 9:39:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5614, loss_cls: 6.6811, loss: 6.6811 2023-12-31 04:39:59,126 - pyskl - INFO - Epoch [62][3400/3746] lr: 6.354e-02, eta: 2 days, 9:38:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2970, top5_acc: 0.5522, loss_cls: 6.7461, loss: 6.7461 2023-12-31 04:40:59,049 - pyskl - INFO - Epoch [62][3500/3746] lr: 6.351e-02, eta: 2 days, 9:37:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5631, loss_cls: 6.7129, loss: 6.7129 2023-12-31 04:41:58,617 - pyskl - INFO - Epoch [62][3600/3746] lr: 6.349e-02, eta: 2 days, 9:36:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5534, loss_cls: 6.7824, loss: 6.7824 2023-12-31 04:42:58,563 - pyskl - INFO - Epoch [62][3700/3746] lr: 6.346e-02, eta: 2 days, 9:35:06, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5537, loss_cls: 6.7352, loss: 6.7352 2023-12-31 04:43:29,235 - pyskl - INFO - Saving checkpoint at 62 epochs 2023-12-31 04:45:34,271 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 04:45:35,357 - pyskl - INFO - top1_acc 0.1730 top5_acc 0.3955 2023-12-31 04:45:35,357 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 04:45:35,396 - pyskl - INFO - mean_acc 0.1730 2023-12-31 04:45:35,408 - pyskl - INFO - Epoch(val) [62][309] top1_acc: 0.1730, top5_acc: 0.3955, mean_class_accuracy: 0.1730 2023-12-31 04:49:04,861 - pyskl - INFO - Epoch [63][100/3746] lr: 6.342e-02, eta: 2 days, 9:36:21, time: 2.094, data_time: 1.502, memory: 16177, top1_acc: 0.3141, top5_acc: 0.5764, loss_cls: 6.6334, loss: 6.6334 2023-12-31 04:50:04,031 - pyskl - INFO - Epoch [63][200/3746] lr: 6.339e-02, eta: 2 days, 9:35:13, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5720, loss_cls: 6.6363, loss: 6.6363 2023-12-31 04:51:03,481 - pyskl - INFO - Epoch [63][300/3746] lr: 6.337e-02, eta: 2 days, 9:34:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5577, loss_cls: 6.7049, loss: 6.7049 2023-12-31 04:52:03,175 - pyskl - INFO - Epoch [63][400/3746] lr: 6.334e-02, eta: 2 days, 9:32:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5641, loss_cls: 6.7083, loss: 6.7083 2023-12-31 04:53:03,727 - pyskl - INFO - Epoch [63][500/3746] lr: 6.331e-02, eta: 2 days, 9:31:51, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5631, loss_cls: 6.6925, loss: 6.6925 2023-12-31 04:54:03,489 - pyskl - INFO - Epoch [63][600/3746] lr: 6.328e-02, eta: 2 days, 9:30:44, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3025, top5_acc: 0.5577, loss_cls: 6.7141, loss: 6.7141 2023-12-31 04:55:03,107 - pyskl - INFO - Epoch [63][700/3746] lr: 6.326e-02, eta: 2 days, 9:29:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3052, top5_acc: 0.5555, loss_cls: 6.7121, loss: 6.7121 2023-12-31 04:56:02,855 - pyskl - INFO - Epoch [63][800/3746] lr: 6.323e-02, eta: 2 days, 9:28:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2875, top5_acc: 0.5411, loss_cls: 6.7762, loss: 6.7762 2023-12-31 04:57:02,589 - pyskl - INFO - Epoch [63][900/3746] lr: 6.320e-02, eta: 2 days, 9:27:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5487, loss_cls: 6.7729, loss: 6.7729 2023-12-31 04:58:02,288 - pyskl - INFO - Epoch [63][1000/3746] lr: 6.318e-02, eta: 2 days, 9:26:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5497, loss_cls: 6.7505, loss: 6.7505 2023-12-31 04:59:02,041 - pyskl - INFO - Epoch [63][1100/3746] lr: 6.315e-02, eta: 2 days, 9:25:07, time: 0.598, data_time: 0.001, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5606, loss_cls: 6.7122, loss: 6.7122 2023-12-31 05:00:01,472 - pyskl - INFO - Epoch [63][1200/3746] lr: 6.312e-02, eta: 2 days, 9:23:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3009, top5_acc: 0.5577, loss_cls: 6.7336, loss: 6.7336 2023-12-31 05:01:00,928 - pyskl - INFO - Epoch [63][1300/3746] lr: 6.310e-02, eta: 2 days, 9:22:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5461, loss_cls: 6.7854, loss: 6.7854 2023-12-31 05:02:00,255 - pyskl - INFO - Epoch [63][1400/3746] lr: 6.307e-02, eta: 2 days, 9:21:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5495, loss_cls: 6.7458, loss: 6.7458 2023-12-31 05:02:59,417 - pyskl - INFO - Epoch [63][1500/3746] lr: 6.304e-02, eta: 2 days, 9:20:35, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5528, loss_cls: 6.7239, loss: 6.7239 2023-12-31 05:03:58,761 - pyskl - INFO - Epoch [63][1600/3746] lr: 6.301e-02, eta: 2 days, 9:19:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3008, top5_acc: 0.5636, loss_cls: 6.7196, loss: 6.7196 2023-12-31 05:04:58,357 - pyskl - INFO - Epoch [63][1700/3746] lr: 6.299e-02, eta: 2 days, 9:18:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5514, loss_cls: 6.7637, loss: 6.7637 2023-12-31 05:05:58,065 - pyskl - INFO - Epoch [63][1800/3746] lr: 6.296e-02, eta: 2 days, 9:17:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5563, loss_cls: 6.7387, loss: 6.7387 2023-12-31 05:06:57,621 - pyskl - INFO - Epoch [63][1900/3746] lr: 6.293e-02, eta: 2 days, 9:16:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5548, loss_cls: 6.7413, loss: 6.7413 2023-12-31 05:07:58,151 - pyskl - INFO - Epoch [63][2000/3746] lr: 6.291e-02, eta: 2 days, 9:14:58, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5633, loss_cls: 6.7190, loss: 6.7190 2023-12-31 05:08:58,134 - pyskl - INFO - Epoch [63][2100/3746] lr: 6.288e-02, eta: 2 days, 9:13:51, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5642, loss_cls: 6.6919, loss: 6.6919 2023-12-31 05:09:57,973 - pyskl - INFO - Epoch [63][2200/3746] lr: 6.285e-02, eta: 2 days, 9:12:44, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3052, top5_acc: 0.5623, loss_cls: 6.7094, loss: 6.7094 2023-12-31 05:10:58,183 - pyskl - INFO - Epoch [63][2300/3746] lr: 6.283e-02, eta: 2 days, 9:11:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5537, loss_cls: 6.7332, loss: 6.7332 2023-12-31 05:11:59,775 - pyskl - INFO - Epoch [63][2400/3746] lr: 6.280e-02, eta: 2 days, 9:10:33, time: 0.616, data_time: 0.001, memory: 16177, top1_acc: 0.2983, top5_acc: 0.5556, loss_cls: 6.7550, loss: 6.7550 2023-12-31 05:12:59,251 - pyskl - INFO - Epoch [63][2500/3746] lr: 6.277e-02, eta: 2 days, 9:09:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2978, top5_acc: 0.5641, loss_cls: 6.7367, loss: 6.7367 2023-12-31 05:13:58,520 - pyskl - INFO - Epoch [63][2600/3746] lr: 6.274e-02, eta: 2 days, 9:08:17, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5428, loss_cls: 6.7872, loss: 6.7872 2023-12-31 05:14:58,058 - pyskl - INFO - Epoch [63][2700/3746] lr: 6.272e-02, eta: 2 days, 9:07:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5698, loss_cls: 6.6657, loss: 6.6657 2023-12-31 05:15:57,222 - pyskl - INFO - Epoch [63][2800/3746] lr: 6.269e-02, eta: 2 days, 9:06:01, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5519, loss_cls: 6.7299, loss: 6.7299 2023-12-31 05:16:56,865 - pyskl - INFO - Epoch [63][2900/3746] lr: 6.266e-02, eta: 2 days, 9:04:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5497, loss_cls: 6.7801, loss: 6.7801 2023-12-31 05:17:56,144 - pyskl - INFO - Epoch [63][3000/3746] lr: 6.264e-02, eta: 2 days, 9:03:46, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5434, loss_cls: 6.7905, loss: 6.7905 2023-12-31 05:18:55,504 - pyskl - INFO - Epoch [63][3100/3746] lr: 6.261e-02, eta: 2 days, 9:02:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2931, top5_acc: 0.5577, loss_cls: 6.7416, loss: 6.7416 2023-12-31 05:19:55,093 - pyskl - INFO - Epoch [63][3200/3746] lr: 6.258e-02, eta: 2 days, 9:01:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5577, loss_cls: 6.7160, loss: 6.7160 2023-12-31 05:20:54,572 - pyskl - INFO - Epoch [63][3300/3746] lr: 6.256e-02, eta: 2 days, 9:00:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5514, loss_cls: 6.7782, loss: 6.7782 2023-12-31 05:21:54,749 - pyskl - INFO - Epoch [63][3400/3746] lr: 6.253e-02, eta: 2 days, 8:59:17, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3058, top5_acc: 0.5658, loss_cls: 6.6962, loss: 6.6962 2023-12-31 05:22:55,038 - pyskl - INFO - Epoch [63][3500/3746] lr: 6.250e-02, eta: 2 days, 8:58:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5520, loss_cls: 6.7508, loss: 6.7508 2023-12-31 05:23:54,650 - pyskl - INFO - Epoch [63][3600/3746] lr: 6.247e-02, eta: 2 days, 8:57:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5477, loss_cls: 6.7817, loss: 6.7817 2023-12-31 05:24:54,138 - pyskl - INFO - Epoch [63][3700/3746] lr: 6.245e-02, eta: 2 days, 8:55:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5608, loss_cls: 6.6839, loss: 6.6839 2023-12-31 05:25:23,925 - pyskl - INFO - Saving checkpoint at 63 epochs 2023-12-31 05:27:23,418 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 05:27:24,267 - pyskl - INFO - top1_acc 0.2337 top5_acc 0.4726 2023-12-31 05:27:24,267 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 05:27:24,311 - pyskl - INFO - mean_acc 0.2337 2023-12-31 05:27:24,317 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_51.pth was removed 2023-12-31 05:27:24,803 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_63.pth. 2023-12-31 05:27:24,804 - pyskl - INFO - Best top1_acc is 0.2337 at 63 epoch. 2023-12-31 05:27:24,813 - pyskl - INFO - Epoch(val) [63][309] top1_acc: 0.2337, top5_acc: 0.4726, mean_class_accuracy: 0.2337 2023-12-31 05:30:51,895 - pyskl - INFO - Epoch [64][100/3746] lr: 6.241e-02, eta: 2 days, 8:57:02, time: 2.071, data_time: 1.477, memory: 16177, top1_acc: 0.3084, top5_acc: 0.5628, loss_cls: 6.7109, loss: 6.7109 2023-12-31 05:31:51,599 - pyskl - INFO - Epoch [64][200/3746] lr: 6.238e-02, eta: 2 days, 8:55:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5591, loss_cls: 6.7009, loss: 6.7009 2023-12-31 05:32:51,904 - pyskl - INFO - Epoch [64][300/3746] lr: 6.235e-02, eta: 2 days, 8:54:48, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5666, loss_cls: 6.6770, loss: 6.6770 2023-12-31 05:33:51,947 - pyskl - INFO - Epoch [64][400/3746] lr: 6.233e-02, eta: 2 days, 8:53:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5505, loss_cls: 6.7337, loss: 6.7337 2023-12-31 05:34:52,011 - pyskl - INFO - Epoch [64][500/3746] lr: 6.230e-02, eta: 2 days, 8:52:35, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5630, loss_cls: 6.6963, loss: 6.6963 2023-12-31 05:35:52,257 - pyskl - INFO - Epoch [64][600/3746] lr: 6.227e-02, eta: 2 days, 8:51:28, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5528, loss_cls: 6.7152, loss: 6.7152 2023-12-31 05:36:51,791 - pyskl - INFO - Epoch [64][700/3746] lr: 6.225e-02, eta: 2 days, 8:50:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5495, loss_cls: 6.7636, loss: 6.7636 2023-12-31 05:37:51,796 - pyskl - INFO - Epoch [64][800/3746] lr: 6.222e-02, eta: 2 days, 8:49:14, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3047, top5_acc: 0.5577, loss_cls: 6.7113, loss: 6.7113 2023-12-31 05:38:51,605 - pyskl - INFO - Epoch [64][900/3746] lr: 6.219e-02, eta: 2 days, 8:48:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3144, top5_acc: 0.5645, loss_cls: 6.6590, loss: 6.6590 2023-12-31 05:39:51,850 - pyskl - INFO - Epoch [64][1000/3746] lr: 6.216e-02, eta: 2 days, 8:47:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3023, top5_acc: 0.5631, loss_cls: 6.7174, loss: 6.7174 2023-12-31 05:40:51,638 - pyskl - INFO - Epoch [64][1100/3746] lr: 6.214e-02, eta: 2 days, 8:45:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2983, top5_acc: 0.5572, loss_cls: 6.7292, loss: 6.7292 2023-12-31 05:41:51,047 - pyskl - INFO - Epoch [64][1200/3746] lr: 6.211e-02, eta: 2 days, 8:44:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5594, loss_cls: 6.7421, loss: 6.7421 2023-12-31 05:42:50,776 - pyskl - INFO - Epoch [64][1300/3746] lr: 6.208e-02, eta: 2 days, 8:43:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5563, loss_cls: 6.7273, loss: 6.7273 2023-12-31 05:43:50,028 - pyskl - INFO - Epoch [64][1400/3746] lr: 6.206e-02, eta: 2 days, 8:42:30, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5648, loss_cls: 6.7052, loss: 6.7052 2023-12-31 05:44:49,286 - pyskl - INFO - Epoch [64][1500/3746] lr: 6.203e-02, eta: 2 days, 8:41:22, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5558, loss_cls: 6.7229, loss: 6.7229 2023-12-31 05:45:48,884 - pyskl - INFO - Epoch [64][1600/3746] lr: 6.200e-02, eta: 2 days, 8:40:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5678, loss_cls: 6.6882, loss: 6.6882 2023-12-31 05:46:48,842 - pyskl - INFO - Epoch [64][1700/3746] lr: 6.197e-02, eta: 2 days, 8:39:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5581, loss_cls: 6.7399, loss: 6.7399 2023-12-31 05:47:48,892 - pyskl - INFO - Epoch [64][1800/3746] lr: 6.195e-02, eta: 2 days, 8:38:01, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5566, loss_cls: 6.7060, loss: 6.7060 2023-12-31 05:48:48,307 - pyskl - INFO - Epoch [64][1900/3746] lr: 6.192e-02, eta: 2 days, 8:36:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5648, loss_cls: 6.7223, loss: 6.7223 2023-12-31 05:49:47,900 - pyskl - INFO - Epoch [64][2000/3746] lr: 6.189e-02, eta: 2 days, 8:35:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5509, loss_cls: 6.7346, loss: 6.7346 2023-12-31 05:50:47,287 - pyskl - INFO - Epoch [64][2100/3746] lr: 6.187e-02, eta: 2 days, 8:34:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5475, loss_cls: 6.7512, loss: 6.7512 2023-12-31 05:51:46,758 - pyskl - INFO - Epoch [64][2200/3746] lr: 6.184e-02, eta: 2 days, 8:33:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3170, top5_acc: 0.5669, loss_cls: 6.6701, loss: 6.6701 2023-12-31 05:52:46,950 - pyskl - INFO - Epoch [64][2300/3746] lr: 6.181e-02, eta: 2 days, 8:32:24, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5587, loss_cls: 6.6935, loss: 6.6935 2023-12-31 05:53:47,578 - pyskl - INFO - Epoch [64][2400/3746] lr: 6.178e-02, eta: 2 days, 8:31:18, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3141, top5_acc: 0.5672, loss_cls: 6.6770, loss: 6.6770 2023-12-31 05:54:47,542 - pyskl - INFO - Epoch [64][2500/3746] lr: 6.176e-02, eta: 2 days, 8:30:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3058, top5_acc: 0.5575, loss_cls: 6.7197, loss: 6.7197 2023-12-31 05:55:46,962 - pyskl - INFO - Epoch [64][2600/3746] lr: 6.173e-02, eta: 2 days, 8:29:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5480, loss_cls: 6.7527, loss: 6.7527 2023-12-31 05:56:46,519 - pyskl - INFO - Epoch [64][2700/3746] lr: 6.170e-02, eta: 2 days, 8:27:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5452, loss_cls: 6.7735, loss: 6.7735 2023-12-31 05:57:46,229 - pyskl - INFO - Epoch [64][2800/3746] lr: 6.168e-02, eta: 2 days, 8:26:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5627, loss_cls: 6.7103, loss: 6.7103 2023-12-31 05:58:45,896 - pyskl - INFO - Epoch [64][2900/3746] lr: 6.165e-02, eta: 2 days, 8:25:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5498, loss_cls: 6.7560, loss: 6.7560 2023-12-31 05:59:45,633 - pyskl - INFO - Epoch [64][3000/3746] lr: 6.162e-02, eta: 2 days, 8:24:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3052, top5_acc: 0.5589, loss_cls: 6.7198, loss: 6.7198 2023-12-31 06:00:45,174 - pyskl - INFO - Epoch [64][3100/3746] lr: 6.159e-02, eta: 2 days, 8:23:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3038, top5_acc: 0.5583, loss_cls: 6.7268, loss: 6.7268 2023-12-31 06:01:44,815 - pyskl - INFO - Epoch [64][3200/3746] lr: 6.157e-02, eta: 2 days, 8:22:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5573, loss_cls: 6.7443, loss: 6.7443 2023-12-31 06:02:44,570 - pyskl - INFO - Epoch [64][3300/3746] lr: 6.154e-02, eta: 2 days, 8:21:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5420, loss_cls: 6.7810, loss: 6.7810 2023-12-31 06:03:44,120 - pyskl - INFO - Epoch [64][3400/3746] lr: 6.151e-02, eta: 2 days, 8:20:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3019, top5_acc: 0.5650, loss_cls: 6.6950, loss: 6.6950 2023-12-31 06:04:43,855 - pyskl - INFO - Epoch [64][3500/3746] lr: 6.148e-02, eta: 2 days, 8:18:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5630, loss_cls: 6.7211, loss: 6.7211 2023-12-31 06:05:43,960 - pyskl - INFO - Epoch [64][3600/3746] lr: 6.146e-02, eta: 2 days, 8:17:51, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5522, loss_cls: 6.7277, loss: 6.7277 2023-12-31 06:06:43,666 - pyskl - INFO - Epoch [64][3700/3746] lr: 6.143e-02, eta: 2 days, 8:16:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5492, loss_cls: 6.7574, loss: 6.7574 2023-12-31 06:07:13,806 - pyskl - INFO - Saving checkpoint at 64 epochs 2023-12-31 06:09:12,427 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 06:09:13,235 - pyskl - INFO - top1_acc 0.2089 top5_acc 0.4363 2023-12-31 06:09:13,235 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 06:09:13,268 - pyskl - INFO - mean_acc 0.2085 2023-12-31 06:09:13,277 - pyskl - INFO - Epoch(val) [64][309] top1_acc: 0.2089, top5_acc: 0.4363, mean_class_accuracy: 0.2085 2023-12-31 06:12:42,594 - pyskl - INFO - Epoch [65][100/3746] lr: 6.139e-02, eta: 2 days, 8:17:50, time: 2.093, data_time: 1.497, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5716, loss_cls: 6.6700, loss: 6.6700 2023-12-31 06:13:41,829 - pyskl - INFO - Epoch [65][200/3746] lr: 6.136e-02, eta: 2 days, 8:16:42, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5698, loss_cls: 6.6786, loss: 6.6786 2023-12-31 06:14:41,037 - pyskl - INFO - Epoch [65][300/3746] lr: 6.134e-02, eta: 2 days, 8:15:34, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5636, loss_cls: 6.7064, loss: 6.7064 2023-12-31 06:15:40,235 - pyskl - INFO - Epoch [65][400/3746] lr: 6.131e-02, eta: 2 days, 8:14:26, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5623, loss_cls: 6.6914, loss: 6.6914 2023-12-31 06:16:40,130 - pyskl - INFO - Epoch [65][500/3746] lr: 6.128e-02, eta: 2 days, 8:13:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3039, top5_acc: 0.5648, loss_cls: 6.6976, loss: 6.6976 2023-12-31 06:17:39,902 - pyskl - INFO - Epoch [65][600/3746] lr: 6.125e-02, eta: 2 days, 8:12:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5673, loss_cls: 6.6880, loss: 6.6880 2023-12-31 06:18:39,377 - pyskl - INFO - Epoch [65][700/3746] lr: 6.123e-02, eta: 2 days, 8:11:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3019, top5_acc: 0.5587, loss_cls: 6.7417, loss: 6.7417 2023-12-31 06:19:39,183 - pyskl - INFO - Epoch [65][800/3746] lr: 6.120e-02, eta: 2 days, 8:09:58, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5623, loss_cls: 6.6952, loss: 6.6952 2023-12-31 06:20:39,021 - pyskl - INFO - Epoch [65][900/3746] lr: 6.117e-02, eta: 2 days, 8:08:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2992, top5_acc: 0.5545, loss_cls: 6.7454, loss: 6.7454 2023-12-31 06:21:38,649 - pyskl - INFO - Epoch [65][1000/3746] lr: 6.115e-02, eta: 2 days, 8:07:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5595, loss_cls: 6.6891, loss: 6.6891 2023-12-31 06:22:38,675 - pyskl - INFO - Epoch [65][1100/3746] lr: 6.112e-02, eta: 2 days, 8:06:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3080, top5_acc: 0.5737, loss_cls: 6.6569, loss: 6.6569 2023-12-31 06:23:37,802 - pyskl - INFO - Epoch [65][1200/3746] lr: 6.109e-02, eta: 2 days, 8:05:28, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3167, top5_acc: 0.5736, loss_cls: 6.6811, loss: 6.6811 2023-12-31 06:24:37,333 - pyskl - INFO - Epoch [65][1300/3746] lr: 6.106e-02, eta: 2 days, 8:04:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5536, loss_cls: 6.7561, loss: 6.7561 2023-12-31 06:25:36,996 - pyskl - INFO - Epoch [65][1400/3746] lr: 6.104e-02, eta: 2 days, 8:03:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5614, loss_cls: 6.6920, loss: 6.6920 2023-12-31 06:26:36,355 - pyskl - INFO - Epoch [65][1500/3746] lr: 6.101e-02, eta: 2 days, 8:02:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5575, loss_cls: 6.7025, loss: 6.7025 2023-12-31 06:27:35,744 - pyskl - INFO - Epoch [65][1600/3746] lr: 6.098e-02, eta: 2 days, 8:00:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5564, loss_cls: 6.7092, loss: 6.7092 2023-12-31 06:28:35,046 - pyskl - INFO - Epoch [65][1700/3746] lr: 6.095e-02, eta: 2 days, 7:59:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5563, loss_cls: 6.7189, loss: 6.7189 2023-12-31 06:29:34,335 - pyskl - INFO - Epoch [65][1800/3746] lr: 6.093e-02, eta: 2 days, 7:58:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2986, top5_acc: 0.5597, loss_cls: 6.7418, loss: 6.7418 2023-12-31 06:30:33,829 - pyskl - INFO - Epoch [65][1900/3746] lr: 6.090e-02, eta: 2 days, 7:57:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2986, top5_acc: 0.5539, loss_cls: 6.7260, loss: 6.7260 2023-12-31 06:31:32,983 - pyskl - INFO - Epoch [65][2000/3746] lr: 6.087e-02, eta: 2 days, 7:56:28, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5630, loss_cls: 6.7343, loss: 6.7343 2023-12-31 06:32:32,528 - pyskl - INFO - Epoch [65][2100/3746] lr: 6.085e-02, eta: 2 days, 7:55:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5586, loss_cls: 6.7264, loss: 6.7264 2023-12-31 06:33:31,825 - pyskl - INFO - Epoch [65][2200/3746] lr: 6.082e-02, eta: 2 days, 7:54:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3080, top5_acc: 0.5578, loss_cls: 6.6919, loss: 6.6919 2023-12-31 06:34:31,479 - pyskl - INFO - Epoch [65][2300/3746] lr: 6.079e-02, eta: 2 days, 7:53:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5614, loss_cls: 6.6829, loss: 6.6829 2023-12-31 06:35:31,668 - pyskl - INFO - Epoch [65][2400/3746] lr: 6.076e-02, eta: 2 days, 7:51:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5523, loss_cls: 6.7574, loss: 6.7574 2023-12-31 06:36:32,053 - pyskl - INFO - Epoch [65][2500/3746] lr: 6.074e-02, eta: 2 days, 7:50:53, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5628, loss_cls: 6.7187, loss: 6.7187 2023-12-31 06:37:31,969 - pyskl - INFO - Epoch [65][2600/3746] lr: 6.071e-02, eta: 2 days, 7:49:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3095, top5_acc: 0.5606, loss_cls: 6.7151, loss: 6.7151 2023-12-31 06:38:31,537 - pyskl - INFO - Epoch [65][2700/3746] lr: 6.068e-02, eta: 2 days, 7:48:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5664, loss_cls: 6.6646, loss: 6.6646 2023-12-31 06:39:31,040 - pyskl - INFO - Epoch [65][2800/3746] lr: 6.065e-02, eta: 2 days, 7:47:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3080, top5_acc: 0.5614, loss_cls: 6.6636, loss: 6.6636 2023-12-31 06:40:30,249 - pyskl - INFO - Epoch [65][2900/3746] lr: 6.063e-02, eta: 2 days, 7:46:24, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5598, loss_cls: 6.7152, loss: 6.7152 2023-12-31 06:41:29,413 - pyskl - INFO - Epoch [65][3000/3746] lr: 6.060e-02, eta: 2 days, 7:45:16, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5542, loss_cls: 6.7614, loss: 6.7614 2023-12-31 06:42:28,977 - pyskl - INFO - Epoch [65][3100/3746] lr: 6.057e-02, eta: 2 days, 7:44:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5550, loss_cls: 6.7662, loss: 6.7662 2023-12-31 06:43:28,333 - pyskl - INFO - Epoch [65][3200/3746] lr: 6.055e-02, eta: 2 days, 7:43:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5573, loss_cls: 6.7031, loss: 6.7031 2023-12-31 06:44:27,967 - pyskl - INFO - Epoch [65][3300/3746] lr: 6.052e-02, eta: 2 days, 7:41:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5533, loss_cls: 6.7309, loss: 6.7309 2023-12-31 06:45:28,390 - pyskl - INFO - Epoch [65][3400/3746] lr: 6.049e-02, eta: 2 days, 7:40:48, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5491, loss_cls: 6.7403, loss: 6.7403 2023-12-31 06:46:28,959 - pyskl - INFO - Epoch [65][3500/3746] lr: 6.046e-02, eta: 2 days, 7:39:42, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5591, loss_cls: 6.7141, loss: 6.7141 2023-12-31 06:47:29,486 - pyskl - INFO - Epoch [65][3600/3746] lr: 6.044e-02, eta: 2 days, 7:38:36, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5583, loss_cls: 6.7237, loss: 6.7237 2023-12-31 06:48:28,812 - pyskl - INFO - Epoch [65][3700/3746] lr: 6.041e-02, eta: 2 days, 7:37:28, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5677, loss_cls: 6.6771, loss: 6.6771 2023-12-31 06:48:58,464 - pyskl - INFO - Saving checkpoint at 65 epochs 2023-12-31 06:50:58,671 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 06:50:59,746 - pyskl - INFO - top1_acc 0.2481 top5_acc 0.4968 2023-12-31 06:50:59,746 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 06:50:59,790 - pyskl - INFO - mean_acc 0.2482 2023-12-31 06:50:59,797 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_63.pth was removed 2023-12-31 06:51:00,100 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. 2023-12-31 06:51:00,101 - pyskl - INFO - Best top1_acc is 0.2481 at 65 epoch. 2023-12-31 06:51:00,110 - pyskl - INFO - Epoch(val) [65][309] top1_acc: 0.2481, top5_acc: 0.4968, mean_class_accuracy: 0.2482 2023-12-31 06:54:27,707 - pyskl - INFO - Epoch [66][100/3746] lr: 6.037e-02, eta: 2 days, 7:38:28, time: 2.076, data_time: 1.480, memory: 16177, top1_acc: 0.3081, top5_acc: 0.5692, loss_cls: 6.6795, loss: 6.6795 2023-12-31 06:55:26,974 - pyskl - INFO - Epoch [66][200/3746] lr: 6.034e-02, eta: 2 days, 7:37:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5664, loss_cls: 6.6966, loss: 6.6966 2023-12-31 06:56:26,193 - pyskl - INFO - Epoch [66][300/3746] lr: 6.031e-02, eta: 2 days, 7:36:12, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5611, loss_cls: 6.6885, loss: 6.6885 2023-12-31 06:57:25,790 - pyskl - INFO - Epoch [66][400/3746] lr: 6.029e-02, eta: 2 days, 7:35:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3017, top5_acc: 0.5531, loss_cls: 6.7398, loss: 6.7398 2023-12-31 06:58:25,837 - pyskl - INFO - Epoch [66][500/3746] lr: 6.026e-02, eta: 2 days, 7:33:59, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5737, loss_cls: 6.6393, loss: 6.6393 2023-12-31 06:59:25,936 - pyskl - INFO - Epoch [66][600/3746] lr: 6.023e-02, eta: 2 days, 7:32:52, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5556, loss_cls: 6.7050, loss: 6.7050 2023-12-31 07:00:25,258 - pyskl - INFO - Epoch [66][700/3746] lr: 6.020e-02, eta: 2 days, 7:31:44, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5752, loss_cls: 6.6525, loss: 6.6525 2023-12-31 07:01:25,584 - pyskl - INFO - Epoch [66][800/3746] lr: 6.018e-02, eta: 2 days, 7:30:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5669, loss_cls: 6.6824, loss: 6.6824 2023-12-31 07:02:25,892 - pyskl - INFO - Epoch [66][900/3746] lr: 6.015e-02, eta: 2 days, 7:29:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5641, loss_cls: 6.6542, loss: 6.6542 2023-12-31 07:03:25,668 - pyskl - INFO - Epoch [66][1000/3746] lr: 6.012e-02, eta: 2 days, 7:28:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5573, loss_cls: 6.7172, loss: 6.7172 2023-12-31 07:04:25,444 - pyskl - INFO - Epoch [66][1100/3746] lr: 6.009e-02, eta: 2 days, 7:27:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3080, top5_acc: 0.5711, loss_cls: 6.6410, loss: 6.6410 2023-12-31 07:05:24,773 - pyskl - INFO - Epoch [66][1200/3746] lr: 6.007e-02, eta: 2 days, 7:26:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5552, loss_cls: 6.7198, loss: 6.7198 2023-12-31 07:06:24,591 - pyskl - INFO - Epoch [66][1300/3746] lr: 6.004e-02, eta: 2 days, 7:25:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3008, top5_acc: 0.5563, loss_cls: 6.7275, loss: 6.7275 2023-12-31 07:07:23,741 - pyskl - INFO - Epoch [66][1400/3746] lr: 6.001e-02, eta: 2 days, 7:23:55, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5664, loss_cls: 6.7025, loss: 6.7025 2023-12-31 07:08:23,029 - pyskl - INFO - Epoch [66][1500/3746] lr: 5.999e-02, eta: 2 days, 7:22:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3034, top5_acc: 0.5609, loss_cls: 6.6905, loss: 6.6905 2023-12-31 07:09:22,393 - pyskl - INFO - Epoch [66][1600/3746] lr: 5.996e-02, eta: 2 days, 7:21:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3039, top5_acc: 0.5536, loss_cls: 6.7330, loss: 6.7330 2023-12-31 07:10:21,632 - pyskl - INFO - Epoch [66][1700/3746] lr: 5.993e-02, eta: 2 days, 7:20:33, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5684, loss_cls: 6.6593, loss: 6.6593 2023-12-31 07:11:21,504 - pyskl - INFO - Epoch [66][1800/3746] lr: 5.990e-02, eta: 2 days, 7:19:26, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5589, loss_cls: 6.7053, loss: 6.7053 2023-12-31 07:12:21,502 - pyskl - INFO - Epoch [66][1900/3746] lr: 5.988e-02, eta: 2 days, 7:18:19, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3034, top5_acc: 0.5573, loss_cls: 6.6874, loss: 6.6874 2023-12-31 07:13:20,729 - pyskl - INFO - Epoch [66][2000/3746] lr: 5.985e-02, eta: 2 days, 7:17:12, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5663, loss_cls: 6.7043, loss: 6.7043 2023-12-31 07:14:20,002 - pyskl - INFO - Epoch [66][2100/3746] lr: 5.982e-02, eta: 2 days, 7:16:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3023, top5_acc: 0.5513, loss_cls: 6.7353, loss: 6.7353 2023-12-31 07:15:19,171 - pyskl - INFO - Epoch [66][2200/3746] lr: 5.979e-02, eta: 2 days, 7:14:56, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5450, loss_cls: 6.7585, loss: 6.7585 2023-12-31 07:16:18,707 - pyskl - INFO - Epoch [66][2300/3746] lr: 5.977e-02, eta: 2 days, 7:13:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5686, loss_cls: 6.6593, loss: 6.6593 2023-12-31 07:17:18,859 - pyskl - INFO - Epoch [66][2400/3746] lr: 5.974e-02, eta: 2 days, 7:12:43, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5561, loss_cls: 6.6976, loss: 6.6976 2023-12-31 07:18:19,684 - pyskl - INFO - Epoch [66][2500/3746] lr: 5.971e-02, eta: 2 days, 7:11:37, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3028, top5_acc: 0.5636, loss_cls: 6.6999, loss: 6.6999 2023-12-31 07:19:19,230 - pyskl - INFO - Epoch [66][2600/3746] lr: 5.968e-02, eta: 2 days, 7:10:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5592, loss_cls: 6.7294, loss: 6.7294 2023-12-31 07:20:18,463 - pyskl - INFO - Epoch [66][2700/3746] lr: 5.966e-02, eta: 2 days, 7:09:22, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3038, top5_acc: 0.5595, loss_cls: 6.7245, loss: 6.7245 2023-12-31 07:21:18,120 - pyskl - INFO - Epoch [66][2800/3746] lr: 5.963e-02, eta: 2 days, 7:08:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5620, loss_cls: 6.7117, loss: 6.7117 2023-12-31 07:22:17,432 - pyskl - INFO - Epoch [66][2900/3746] lr: 5.960e-02, eta: 2 days, 7:07:08, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5547, loss_cls: 6.7417, loss: 6.7417 2023-12-31 07:23:16,950 - pyskl - INFO - Epoch [66][3000/3746] lr: 5.957e-02, eta: 2 days, 7:06:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5634, loss_cls: 6.6954, loss: 6.6954 2023-12-31 07:24:16,625 - pyskl - INFO - Epoch [66][3100/3746] lr: 5.955e-02, eta: 2 days, 7:04:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5542, loss_cls: 6.7166, loss: 6.7166 2023-12-31 07:25:16,270 - pyskl - INFO - Epoch [66][3200/3746] lr: 5.952e-02, eta: 2 days, 7:03:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3044, top5_acc: 0.5580, loss_cls: 6.7256, loss: 6.7256 2023-12-31 07:26:15,555 - pyskl - INFO - Epoch [66][3300/3746] lr: 5.949e-02, eta: 2 days, 7:02:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5603, loss_cls: 6.7213, loss: 6.7213 2023-12-31 07:27:14,939 - pyskl - INFO - Epoch [66][3400/3746] lr: 5.946e-02, eta: 2 days, 7:01:32, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5491, loss_cls: 6.7657, loss: 6.7657 2023-12-31 07:28:14,516 - pyskl - INFO - Epoch [66][3500/3746] lr: 5.944e-02, eta: 2 days, 7:00:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5581, loss_cls: 6.6858, loss: 6.6858 2023-12-31 07:29:13,965 - pyskl - INFO - Epoch [66][3600/3746] lr: 5.941e-02, eta: 2 days, 6:59:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5505, loss_cls: 6.7495, loss: 6.7495 2023-12-31 07:30:13,367 - pyskl - INFO - Epoch [66][3700/3746] lr: 5.938e-02, eta: 2 days, 6:58:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5517, loss_cls: 6.7319, loss: 6.7319 2023-12-31 07:30:43,060 - pyskl - INFO - Saving checkpoint at 66 epochs 2023-12-31 07:32:42,716 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 07:32:43,797 - pyskl - INFO - top1_acc 0.2538 top5_acc 0.4967 2023-12-31 07:32:43,797 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 07:32:43,841 - pyskl - INFO - mean_acc 0.2537 2023-12-31 07:32:43,849 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/b_3/best_top1_acc_epoch_65.pth was removed 2023-12-31 07:32:44,147 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. 2023-12-31 07:32:44,148 - pyskl - INFO - Best top1_acc is 0.2538 at 66 epoch. 2023-12-31 07:32:44,158 - pyskl - INFO - Epoch(val) [66][309] top1_acc: 0.2538, top5_acc: 0.4967, mean_class_accuracy: 0.2537 2023-12-31 07:36:07,257 - pyskl - INFO - Epoch [67][100/3746] lr: 5.934e-02, eta: 2 days, 6:59:00, time: 2.031, data_time: 1.434, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5633, loss_cls: 6.6914, loss: 6.6914 2023-12-31 07:37:07,173 - pyskl - INFO - Epoch [67][200/3746] lr: 5.931e-02, eta: 2 days, 6:57:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5728, loss_cls: 6.6302, loss: 6.6302 2023-12-31 07:38:06,596 - pyskl - INFO - Epoch [67][300/3746] lr: 5.929e-02, eta: 2 days, 6:56:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5445, loss_cls: 6.7418, loss: 6.7418 2023-12-31 07:39:05,978 - pyskl - INFO - Epoch [67][400/3746] lr: 5.926e-02, eta: 2 days, 6:55:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5698, loss_cls: 6.6607, loss: 6.6607 2023-12-31 07:40:05,799 - pyskl - INFO - Epoch [67][500/3746] lr: 5.923e-02, eta: 2 days, 6:54:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2986, top5_acc: 0.5616, loss_cls: 6.7050, loss: 6.7050 2023-12-31 07:41:06,028 - pyskl - INFO - Epoch [67][600/3746] lr: 5.920e-02, eta: 2 days, 6:53:25, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3105, top5_acc: 0.5741, loss_cls: 6.6328, loss: 6.6328 2023-12-31 07:42:05,619 - pyskl - INFO - Epoch [67][700/3746] lr: 5.918e-02, eta: 2 days, 6:52:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5714, loss_cls: 6.6679, loss: 6.6679 2023-12-31 07:43:05,887 - pyskl - INFO - Epoch [67][800/3746] lr: 5.915e-02, eta: 2 days, 6:51:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5663, loss_cls: 6.6639, loss: 6.6639 2023-12-31 07:44:05,981 - pyskl - INFO - Epoch [67][900/3746] lr: 5.912e-02, eta: 2 days, 6:50:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5506, loss_cls: 6.7347, loss: 6.7347 2023-12-31 07:45:06,121 - pyskl - INFO - Epoch [67][1000/3746] lr: 5.909e-02, eta: 2 days, 6:48:59, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2986, top5_acc: 0.5672, loss_cls: 6.7157, loss: 6.7157 2023-12-31 07:46:05,830 - pyskl - INFO - Epoch [67][1100/3746] lr: 5.907e-02, eta: 2 days, 6:47:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5559, loss_cls: 6.7332, loss: 6.7332 2023-12-31 07:47:05,366 - pyskl - INFO - Epoch [67][1200/3746] lr: 5.904e-02, eta: 2 days, 6:46:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5614, loss_cls: 6.6783, loss: 6.6783 2023-12-31 07:48:04,714 - pyskl - INFO - Epoch [67][1300/3746] lr: 5.901e-02, eta: 2 days, 6:45:37, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3123, top5_acc: 0.5691, loss_cls: 6.6747, loss: 6.6747 2023-12-31 07:49:04,089 - pyskl - INFO - Epoch [67][1400/3746] lr: 5.898e-02, eta: 2 days, 6:44:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3095, top5_acc: 0.5691, loss_cls: 6.6803, loss: 6.6803 2023-12-31 07:50:03,410 - pyskl - INFO - Epoch [67][1500/3746] lr: 5.896e-02, eta: 2 days, 6:43:22, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5656, loss_cls: 6.6922, loss: 6.6922 2023-12-31 07:51:02,962 - pyskl - INFO - Epoch [67][1600/3746] lr: 5.893e-02, eta: 2 days, 6:42:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3061, top5_acc: 0.5708, loss_cls: 6.6837, loss: 6.6837 2023-12-31 07:52:02,474 - pyskl - INFO - Epoch [67][1700/3746] lr: 5.890e-02, eta: 2 days, 6:41:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3086, top5_acc: 0.5637, loss_cls: 6.6707, loss: 6.6707 2023-12-31 07:53:01,849 - pyskl - INFO - Epoch [67][1800/3746] lr: 5.887e-02, eta: 2 days, 6:40:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5597, loss_cls: 6.7017, loss: 6.7017 2023-12-31 07:54:01,262 - pyskl - INFO - Epoch [67][1900/3746] lr: 5.885e-02, eta: 2 days, 6:38:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3070, top5_acc: 0.5739, loss_cls: 6.6722, loss: 6.6722 2023-12-31 07:55:00,701 - pyskl - INFO - Epoch [67][2000/3746] lr: 5.882e-02, eta: 2 days, 6:37:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5645, loss_cls: 6.6775, loss: 6.6775 2023-12-31 07:56:00,555 - pyskl - INFO - Epoch [67][2100/3746] lr: 5.879e-02, eta: 2 days, 6:36:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5534, loss_cls: 6.7517, loss: 6.7517 2023-12-31 07:56:59,849 - pyskl - INFO - Epoch [67][2200/3746] lr: 5.876e-02, eta: 2 days, 6:35:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3147, top5_acc: 0.5639, loss_cls: 6.6869, loss: 6.6869 2023-12-31 07:58:00,207 - pyskl - INFO - Epoch [67][2300/3746] lr: 5.874e-02, eta: 2 days, 6:34:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3095, top5_acc: 0.5678, loss_cls: 6.6930, loss: 6.6930 2023-12-31 07:59:00,026 - pyskl - INFO - Epoch [67][2400/3746] lr: 5.871e-02, eta: 2 days, 6:33:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3078, top5_acc: 0.5587, loss_cls: 6.7191, loss: 6.7191 2023-12-31 08:00:00,397 - pyskl - INFO - Epoch [67][2500/3746] lr: 5.868e-02, eta: 2 days, 6:32:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5542, loss_cls: 6.7251, loss: 6.7251 2023-12-31 08:01:00,351 - pyskl - INFO - Epoch [67][2600/3746] lr: 5.865e-02, eta: 2 days, 6:31:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5611, loss_cls: 6.7205, loss: 6.7205 2023-12-31 08:01:59,573 - pyskl - INFO - Epoch [67][2700/3746] lr: 5.863e-02, eta: 2 days, 6:29:59, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3044, top5_acc: 0.5586, loss_cls: 6.6947, loss: 6.6947 2023-12-31 08:02:58,753 - pyskl - INFO - Epoch [67][2800/3746] lr: 5.860e-02, eta: 2 days, 6:28:52, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5667, loss_cls: 6.6782, loss: 6.6782 2023-12-31 08:03:57,866 - pyskl - INFO - Epoch [67][2900/3746] lr: 5.857e-02, eta: 2 days, 6:27:44, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5583, loss_cls: 6.7146, loss: 6.7146 2023-12-31 08:04:57,256 - pyskl - INFO - Epoch [67][3000/3746] lr: 5.854e-02, eta: 2 days, 6:26:37, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5603, loss_cls: 6.7204, loss: 6.7204 2023-12-31 08:05:57,197 - pyskl - INFO - Epoch [67][3100/3746] lr: 5.852e-02, eta: 2 days, 6:25:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2972, top5_acc: 0.5555, loss_cls: 6.7145, loss: 6.7145 2023-12-31 08:06:56,588 - pyskl - INFO - Epoch [67][3200/3746] lr: 5.849e-02, eta: 2 days, 6:24:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5584, loss_cls: 6.7097, loss: 6.7097 2023-12-31 08:07:56,000 - pyskl - INFO - Epoch [67][3300/3746] lr: 5.846e-02, eta: 2 days, 6:23:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5587, loss_cls: 6.7279, loss: 6.7279 2023-12-31 08:08:55,200 - pyskl - INFO - Epoch [67][3400/3746] lr: 5.843e-02, eta: 2 days, 6:22:08, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5652, loss_cls: 6.6864, loss: 6.6864 2023-12-31 08:09:54,581 - pyskl - INFO - Epoch [67][3500/3746] lr: 5.841e-02, eta: 2 days, 6:21:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5592, loss_cls: 6.7004, loss: 6.7004 2023-12-31 08:10:53,959 - pyskl - INFO - Epoch [67][3600/3746] lr: 5.838e-02, eta: 2 days, 6:19:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3145, top5_acc: 0.5691, loss_cls: 6.6739, loss: 6.6739 2023-12-31 08:11:53,373 - pyskl - INFO - Epoch [67][3700/3746] lr: 5.835e-02, eta: 2 days, 6:18:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3120, top5_acc: 0.5694, loss_cls: 6.6772, loss: 6.6772 2023-12-31 08:12:23,565 - pyskl - INFO - Saving checkpoint at 67 epochs 2023-12-31 08:14:23,513 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 08:14:24,315 - pyskl - INFO - top1_acc 0.2012 top5_acc 0.4245 2023-12-31 08:14:24,315 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 08:14:24,352 - pyskl - INFO - mean_acc 0.2011 2023-12-31 08:14:24,363 - pyskl - INFO - Epoch(val) [67][309] top1_acc: 0.2012, top5_acc: 0.4245, mean_class_accuracy: 0.2011 2023-12-31 08:17:50,750 - pyskl - INFO - Epoch [68][100/3746] lr: 5.831e-02, eta: 2 days, 6:19:37, time: 2.064, data_time: 1.468, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5680, loss_cls: 6.6519, loss: 6.6519 2023-12-31 08:18:50,001 - pyskl - INFO - Epoch [68][200/3746] lr: 5.828e-02, eta: 2 days, 6:18:29, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3053, top5_acc: 0.5628, loss_cls: 6.6934, loss: 6.6934 2023-12-31 08:19:49,208 - pyskl - INFO - Epoch [68][300/3746] lr: 5.826e-02, eta: 2 days, 6:17:22, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3025, top5_acc: 0.5669, loss_cls: 6.6522, loss: 6.6522 2023-12-31 08:20:48,655 - pyskl - INFO - Epoch [68][400/3746] lr: 5.823e-02, eta: 2 days, 6:16:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5811, loss_cls: 6.6276, loss: 6.6276 2023-12-31 08:21:48,141 - pyskl - INFO - Epoch [68][500/3746] lr: 5.820e-02, eta: 2 days, 6:15:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5625, loss_cls: 6.7018, loss: 6.7018 2023-12-31 08:22:48,675 - pyskl - INFO - Epoch [68][600/3746] lr: 5.817e-02, eta: 2 days, 6:14:01, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5700, loss_cls: 6.6617, loss: 6.6617 2023-12-31 08:23:48,322 - pyskl - INFO - Epoch [68][700/3746] lr: 5.815e-02, eta: 2 days, 6:12:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3152, top5_acc: 0.5694, loss_cls: 6.6384, loss: 6.6384 2023-12-31 08:24:48,605 - pyskl - INFO - Epoch [68][800/3746] lr: 5.812e-02, eta: 2 days, 6:11:48, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5702, loss_cls: 6.6346, loss: 6.6346 2023-12-31 08:25:48,677 - pyskl - INFO - Epoch [68][900/3746] lr: 5.809e-02, eta: 2 days, 6:10:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3102, top5_acc: 0.5703, loss_cls: 6.6597, loss: 6.6597 2023-12-31 08:26:48,665 - pyskl - INFO - Epoch [68][1000/3746] lr: 5.806e-02, eta: 2 days, 6:09:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3086, top5_acc: 0.5637, loss_cls: 6.6660, loss: 6.6660 2023-12-31 08:27:48,453 - pyskl - INFO - Epoch [68][1100/3746] lr: 5.804e-02, eta: 2 days, 6:08:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5525, loss_cls: 6.7244, loss: 6.7244 2023-12-31 08:28:47,886 - pyskl - INFO - Epoch [68][1200/3746] lr: 5.801e-02, eta: 2 days, 6:07:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3155, top5_acc: 0.5767, loss_cls: 6.6417, loss: 6.6417 2023-12-31 08:29:47,232 - pyskl - INFO - Epoch [68][1300/3746] lr: 5.798e-02, eta: 2 days, 6:06:14, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5658, loss_cls: 6.6667, loss: 6.6667 2023-12-31 08:30:46,688 - pyskl - INFO - Epoch [68][1400/3746] lr: 5.795e-02, eta: 2 days, 6:05:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5656, loss_cls: 6.7066, loss: 6.7066 2023-12-31 08:31:46,449 - pyskl - INFO - Epoch [68][1500/3746] lr: 5.792e-02, eta: 2 days, 6:04:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3197, top5_acc: 0.5719, loss_cls: 6.6555, loss: 6.6555 2023-12-31 08:32:46,019 - pyskl - INFO - Epoch [68][1600/3746] lr: 5.790e-02, eta: 2 days, 6:02:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5725, loss_cls: 6.6396, loss: 6.6396 2023-12-31 08:33:45,480 - pyskl - INFO - Epoch [68][1700/3746] lr: 5.787e-02, eta: 2 days, 6:01:46, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3091, top5_acc: 0.5764, loss_cls: 6.6200, loss: 6.6200 2023-12-31 08:34:45,081 - pyskl - INFO - Epoch [68][1800/3746] lr: 5.784e-02, eta: 2 days, 6:00:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5570, loss_cls: 6.7129, loss: 6.7129 2023-12-31 08:35:44,334 - pyskl - INFO - Epoch [68][1900/3746] lr: 5.781e-02, eta: 2 days, 5:59:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2994, top5_acc: 0.5530, loss_cls: 6.7352, loss: 6.7352 2023-12-31 08:36:43,743 - pyskl - INFO - Epoch [68][2000/3746] lr: 5.779e-02, eta: 2 days, 5:58:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5600, loss_cls: 6.6959, loss: 6.6959 2023-12-31 08:37:43,241 - pyskl - INFO - Epoch [68][2100/3746] lr: 5.776e-02, eta: 2 days, 5:57:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5611, loss_cls: 6.7164, loss: 6.7164 2023-12-31 08:38:43,525 - pyskl - INFO - Epoch [68][2200/3746] lr: 5.773e-02, eta: 2 days, 5:56:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5713, loss_cls: 6.6623, loss: 6.6623 2023-12-31 08:39:43,937 - pyskl - INFO - Epoch [68][2300/3746] lr: 5.770e-02, eta: 2 days, 5:55:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3058, top5_acc: 0.5644, loss_cls: 6.6706, loss: 6.6706 2023-12-31 08:40:43,918 - pyskl - INFO - Epoch [68][2400/3746] lr: 5.768e-02, eta: 2 days, 5:53:59, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5509, loss_cls: 6.7608, loss: 6.7608 2023-12-31 08:41:44,091 - pyskl - INFO - Epoch [68][2500/3746] lr: 5.765e-02, eta: 2 days, 5:52:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3114, top5_acc: 0.5602, loss_cls: 6.6962, loss: 6.6962 2023-12-31 08:42:44,017 - pyskl - INFO - Epoch [68][2600/3746] lr: 5.762e-02, eta: 2 days, 5:51:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3055, top5_acc: 0.5609, loss_cls: 6.7158, loss: 6.7158 2023-12-31 08:43:43,828 - pyskl - INFO - Epoch [68][2700/3746] lr: 5.759e-02, eta: 2 days, 5:50:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5539, loss_cls: 6.7399, loss: 6.7399 2023-12-31 08:44:43,379 - pyskl - INFO - Epoch [68][2800/3746] lr: 5.757e-02, eta: 2 days, 5:49:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5659, loss_cls: 6.6762, loss: 6.6762 2023-12-31 08:45:43,211 - pyskl - INFO - Epoch [68][2900/3746] lr: 5.754e-02, eta: 2 days, 5:48:26, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5669, loss_cls: 6.6736, loss: 6.6736 2023-12-31 08:46:43,001 - pyskl - INFO - Epoch [68][3000/3746] lr: 5.751e-02, eta: 2 days, 5:47:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5594, loss_cls: 6.6923, loss: 6.6923 2023-12-31 08:47:42,785 - pyskl - INFO - Epoch [68][3100/3746] lr: 5.748e-02, eta: 2 days, 5:46:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5611, loss_cls: 6.7390, loss: 6.7390 2023-12-31 08:48:42,467 - pyskl - INFO - Epoch [68][3200/3746] lr: 5.746e-02, eta: 2 days, 5:45:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3184, top5_acc: 0.5722, loss_cls: 6.6294, loss: 6.6294 2023-12-31 08:49:41,858 - pyskl - INFO - Epoch [68][3300/3746] lr: 5.743e-02, eta: 2 days, 5:43:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3153, top5_acc: 0.5642, loss_cls: 6.6927, loss: 6.6927 2023-12-31 08:50:41,415 - pyskl - INFO - Epoch [68][3400/3746] lr: 5.740e-02, eta: 2 days, 5:42:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5561, loss_cls: 6.7328, loss: 6.7328 2023-12-31 08:51:41,152 - pyskl - INFO - Epoch [68][3500/3746] lr: 5.737e-02, eta: 2 days, 5:41:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5609, loss_cls: 6.6996, loss: 6.6996 2023-12-31 08:52:41,118 - pyskl - INFO - Epoch [68][3600/3746] lr: 5.734e-02, eta: 2 days, 5:40:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5659, loss_cls: 6.6911, loss: 6.6911 2023-12-31 08:53:41,057 - pyskl - INFO - Epoch [68][3700/3746] lr: 5.732e-02, eta: 2 days, 5:39:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5639, loss_cls: 6.7086, loss: 6.7086 2023-12-31 08:54:11,000 - pyskl - INFO - Saving checkpoint at 68 epochs 2023-12-31 08:56:11,760 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 08:56:12,828 - pyskl - INFO - top1_acc 0.2288 top5_acc 0.4738 2023-12-31 08:56:12,828 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 08:56:12,880 - pyskl - INFO - mean_acc 0.2285 2023-12-31 08:56:12,896 - pyskl - INFO - Epoch(val) [68][309] top1_acc: 0.2288, top5_acc: 0.4738, mean_class_accuracy: 0.2285 2023-12-31 08:59:34,242 - pyskl - INFO - Epoch [69][100/3746] lr: 5.728e-02, eta: 2 days, 5:40:13, time: 2.013, data_time: 1.422, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5727, loss_cls: 6.6584, loss: 6.6584 2023-12-31 09:00:33,674 - pyskl - INFO - Epoch [69][200/3746] lr: 5.725e-02, eta: 2 days, 5:39:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5722, loss_cls: 6.6567, loss: 6.6567 2023-12-31 09:01:32,676 - pyskl - INFO - Epoch [69][300/3746] lr: 5.722e-02, eta: 2 days, 5:37:58, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3170, top5_acc: 0.5767, loss_cls: 6.6290, loss: 6.6290 2023-12-31 09:02:32,086 - pyskl - INFO - Epoch [69][400/3746] lr: 5.719e-02, eta: 2 days, 5:36:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5700, loss_cls: 6.6606, loss: 6.6606 2023-12-31 09:03:31,358 - pyskl - INFO - Epoch [69][500/3746] lr: 5.717e-02, eta: 2 days, 5:35:44, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3047, top5_acc: 0.5713, loss_cls: 6.6536, loss: 6.6536 2023-12-31 09:04:31,724 - pyskl - INFO - Epoch [69][600/3746] lr: 5.714e-02, eta: 2 days, 5:34:38, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5758, loss_cls: 6.6355, loss: 6.6355 2023-12-31 09:05:31,854 - pyskl - INFO - Epoch [69][700/3746] lr: 5.711e-02, eta: 2 days, 5:33:32, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5689, loss_cls: 6.6545, loss: 6.6545 2023-12-31 09:06:31,608 - pyskl - INFO - Epoch [69][800/3746] lr: 5.708e-02, eta: 2 days, 5:32:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3050, top5_acc: 0.5739, loss_cls: 6.6612, loss: 6.6612 2023-12-31 09:07:31,377 - pyskl - INFO - Epoch [69][900/3746] lr: 5.706e-02, eta: 2 days, 5:31:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5731, loss_cls: 6.6459, loss: 6.6459 2023-12-31 09:08:31,726 - pyskl - INFO - Epoch [69][1000/3746] lr: 5.703e-02, eta: 2 days, 5:30:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5603, loss_cls: 6.6576, loss: 6.6576 2023-12-31 09:09:31,390 - pyskl - INFO - Epoch [69][1100/3746] lr: 5.700e-02, eta: 2 days, 5:29:05, time: 0.597, data_time: 0.001, memory: 16177, top1_acc: 0.3233, top5_acc: 0.5750, loss_cls: 6.6447, loss: 6.6447 2023-12-31 09:10:30,883 - pyskl - INFO - Epoch [69][1200/3746] lr: 5.697e-02, eta: 2 days, 5:27:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3089, top5_acc: 0.5628, loss_cls: 6.6867, loss: 6.6867 2023-12-31 09:11:30,785 - pyskl - INFO - Epoch [69][1300/3746] lr: 5.694e-02, eta: 2 days, 5:26:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5628, loss_cls: 6.6848, loss: 6.6848 2023-12-31 09:12:30,655 - pyskl - INFO - Epoch [69][1400/3746] lr: 5.692e-02, eta: 2 days, 5:25:45, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5755, loss_cls: 6.6380, loss: 6.6380 2023-12-31 09:13:29,933 - pyskl - INFO - Epoch [69][1500/3746] lr: 5.689e-02, eta: 2 days, 5:24:38, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5761, loss_cls: 6.6410, loss: 6.6410 2023-12-31 09:14:29,581 - pyskl - INFO - Epoch [69][1600/3746] lr: 5.686e-02, eta: 2 days, 5:23:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5667, loss_cls: 6.6742, loss: 6.6742 2023-12-31 09:15:30,174 - pyskl - INFO - Epoch [69][1700/3746] lr: 5.683e-02, eta: 2 days, 5:22:26, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5636, loss_cls: 6.6915, loss: 6.6915 2023-12-31 09:16:29,988 - pyskl - INFO - Epoch [69][1800/3746] lr: 5.681e-02, eta: 2 days, 5:21:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3084, top5_acc: 0.5681, loss_cls: 6.6843, loss: 6.6843 2023-12-31 09:17:29,660 - pyskl - INFO - Epoch [69][1900/3746] lr: 5.678e-02, eta: 2 days, 5:20:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3017, top5_acc: 0.5550, loss_cls: 6.7336, loss: 6.7336 2023-12-31 09:18:29,308 - pyskl - INFO - Epoch [69][2000/3746] lr: 5.675e-02, eta: 2 days, 5:19:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5677, loss_cls: 6.6661, loss: 6.6661 2023-12-31 09:19:28,866 - pyskl - INFO - Epoch [69][2100/3746] lr: 5.672e-02, eta: 2 days, 5:17:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5636, loss_cls: 6.6922, loss: 6.6922 2023-12-31 09:20:28,182 - pyskl - INFO - Epoch [69][2200/3746] lr: 5.670e-02, eta: 2 days, 5:16:52, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5583, loss_cls: 6.7100, loss: 6.7100 2023-12-31 09:21:28,175 - pyskl - INFO - Epoch [69][2300/3746] lr: 5.667e-02, eta: 2 days, 5:15:45, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3044, top5_acc: 0.5594, loss_cls: 6.7219, loss: 6.7219 2023-12-31 09:22:28,777 - pyskl - INFO - Epoch [69][2400/3746] lr: 5.664e-02, eta: 2 days, 5:14:40, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5722, loss_cls: 6.6530, loss: 6.6530 2023-12-31 09:23:29,338 - pyskl - INFO - Epoch [69][2500/3746] lr: 5.661e-02, eta: 2 days, 5:13:34, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3244, top5_acc: 0.5677, loss_cls: 6.6544, loss: 6.6544 2023-12-31 09:24:30,065 - pyskl - INFO - Epoch [69][2600/3746] lr: 5.658e-02, eta: 2 days, 5:12:28, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5677, loss_cls: 6.6595, loss: 6.6595 2023-12-31 09:25:29,592 - pyskl - INFO - Epoch [69][2700/3746] lr: 5.656e-02, eta: 2 days, 5:11:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3133, top5_acc: 0.5684, loss_cls: 6.6638, loss: 6.6638 2023-12-31 09:26:29,091 - pyskl - INFO - Epoch [69][2800/3746] lr: 5.653e-02, eta: 2 days, 5:10:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5583, loss_cls: 6.6991, loss: 6.6991 2023-12-31 09:27:28,606 - pyskl - INFO - Epoch [69][2900/3746] lr: 5.650e-02, eta: 2 days, 5:09:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3180, top5_acc: 0.5684, loss_cls: 6.6434, loss: 6.6434 2023-12-31 09:28:27,765 - pyskl - INFO - Epoch [69][3000/3746] lr: 5.647e-02, eta: 2 days, 5:08:01, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5633, loss_cls: 6.6798, loss: 6.6798 2023-12-31 09:29:27,079 - pyskl - INFO - Epoch [69][3100/3746] lr: 5.645e-02, eta: 2 days, 5:06:53, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3009, top5_acc: 0.5603, loss_cls: 6.6968, loss: 6.6968 2023-12-31 09:30:26,751 - pyskl - INFO - Epoch [69][3200/3746] lr: 5.642e-02, eta: 2 days, 5:05:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5602, loss_cls: 6.6892, loss: 6.6892 2023-12-31 09:31:26,742 - pyskl - INFO - Epoch [69][3300/3746] lr: 5.639e-02, eta: 2 days, 5:04:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5584, loss_cls: 6.7098, loss: 6.7098 2023-12-31 09:32:26,716 - pyskl - INFO - Epoch [69][3400/3746] lr: 5.636e-02, eta: 2 days, 5:03:34, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5683, loss_cls: 6.6634, loss: 6.6634 2023-12-31 09:33:26,879 - pyskl - INFO - Epoch [69][3500/3746] lr: 5.634e-02, eta: 2 days, 5:02:28, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5567, loss_cls: 6.7446, loss: 6.7446 2023-12-31 09:34:26,283 - pyskl - INFO - Epoch [69][3600/3746] lr: 5.631e-02, eta: 2 days, 5:01:21, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5620, loss_cls: 6.6889, loss: 6.6889 2023-12-31 09:35:25,761 - pyskl - INFO - Epoch [69][3700/3746] lr: 5.628e-02, eta: 2 days, 5:00:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5569, loss_cls: 6.7330, loss: 6.7330 2023-12-31 09:35:55,914 - pyskl - INFO - Saving checkpoint at 69 epochs 2023-12-31 09:37:56,131 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 09:37:56,924 - pyskl - INFO - top1_acc 0.2223 top5_acc 0.4631 2023-12-31 09:37:56,924 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 09:37:56,961 - pyskl - INFO - mean_acc 0.2222 2023-12-31 09:37:56,970 - pyskl - INFO - Epoch(val) [69][309] top1_acc: 0.2223, top5_acc: 0.4631, mean_class_accuracy: 0.2222 2023-12-31 09:41:22,620 - pyskl - INFO - Epoch [70][100/3746] lr: 5.624e-02, eta: 2 days, 5:00:56, time: 2.056, data_time: 1.457, memory: 16177, top1_acc: 0.3273, top5_acc: 0.5798, loss_cls: 6.6196, loss: 6.6196 2023-12-31 09:42:22,166 - pyskl - INFO - Epoch [70][200/3746] lr: 5.621e-02, eta: 2 days, 4:59:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5748, loss_cls: 6.6069, loss: 6.6069 2023-12-31 09:43:21,942 - pyskl - INFO - Epoch [70][300/3746] lr: 5.618e-02, eta: 2 days, 4:58:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3105, top5_acc: 0.5620, loss_cls: 6.6806, loss: 6.6806 2023-12-31 09:44:22,486 - pyskl - INFO - Epoch [70][400/3746] lr: 5.616e-02, eta: 2 days, 4:57:37, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3086, top5_acc: 0.5702, loss_cls: 6.6586, loss: 6.6586 2023-12-31 09:45:23,208 - pyskl - INFO - Epoch [70][500/3746] lr: 5.613e-02, eta: 2 days, 4:56:31, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5694, loss_cls: 6.6442, loss: 6.6442 2023-12-31 09:46:23,365 - pyskl - INFO - Epoch [70][600/3746] lr: 5.610e-02, eta: 2 days, 4:55:25, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5695, loss_cls: 6.6426, loss: 6.6426 2023-12-31 09:47:23,867 - pyskl - INFO - Epoch [70][700/3746] lr: 5.607e-02, eta: 2 days, 4:54:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5764, loss_cls: 6.6277, loss: 6.6277 2023-12-31 09:48:23,898 - pyskl - INFO - Epoch [70][800/3746] lr: 5.605e-02, eta: 2 days, 4:53:13, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3116, top5_acc: 0.5722, loss_cls: 6.6786, loss: 6.6786 2023-12-31 09:49:23,879 - pyskl - INFO - Epoch [70][900/3746] lr: 5.602e-02, eta: 2 days, 4:52:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3145, top5_acc: 0.5741, loss_cls: 6.6112, loss: 6.6112 2023-12-31 09:50:24,160 - pyskl - INFO - Epoch [70][1000/3746] lr: 5.599e-02, eta: 2 days, 4:51:01, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5717, loss_cls: 6.6242, loss: 6.6242 2023-12-31 09:51:24,414 - pyskl - INFO - Epoch [70][1100/3746] lr: 5.596e-02, eta: 2 days, 4:49:55, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5608, loss_cls: 6.6862, loss: 6.6862 2023-12-31 09:52:24,131 - pyskl - INFO - Epoch [70][1200/3746] lr: 5.593e-02, eta: 2 days, 4:48:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3130, top5_acc: 0.5741, loss_cls: 6.6537, loss: 6.6537 2023-12-31 09:53:24,052 - pyskl - INFO - Epoch [70][1300/3746] lr: 5.591e-02, eta: 2 days, 4:47:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3141, top5_acc: 0.5683, loss_cls: 6.6617, loss: 6.6617 2023-12-31 09:54:23,793 - pyskl - INFO - Epoch [70][1400/3746] lr: 5.588e-02, eta: 2 days, 4:46:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3170, top5_acc: 0.5663, loss_cls: 6.6205, loss: 6.6205 2023-12-31 09:55:22,978 - pyskl - INFO - Epoch [70][1500/3746] lr: 5.585e-02, eta: 2 days, 4:45:28, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5514, loss_cls: 6.7441, loss: 6.7441 2023-12-31 09:56:22,467 - pyskl - INFO - Epoch [70][1600/3746] lr: 5.582e-02, eta: 2 days, 4:44:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3023, top5_acc: 0.5630, loss_cls: 6.7101, loss: 6.7101 2023-12-31 09:57:22,836 - pyskl - INFO - Epoch [70][1700/3746] lr: 5.580e-02, eta: 2 days, 4:43:15, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5567, loss_cls: 6.6815, loss: 6.6815 2023-12-31 09:58:22,280 - pyskl - INFO - Epoch [70][1800/3746] lr: 5.577e-02, eta: 2 days, 4:42:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3167, top5_acc: 0.5766, loss_cls: 6.6373, loss: 6.6373 2023-12-31 09:59:21,671 - pyskl - INFO - Epoch [70][1900/3746] lr: 5.574e-02, eta: 2 days, 4:41:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5697, loss_cls: 6.6601, loss: 6.6601 2023-12-31 10:00:21,184 - pyskl - INFO - Epoch [70][2000/3746] lr: 5.571e-02, eta: 2 days, 4:39:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5673, loss_cls: 6.6991, loss: 6.6991 2023-12-31 10:01:21,388 - pyskl - INFO - Epoch [70][2100/3746] lr: 5.568e-02, eta: 2 days, 4:38:49, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5667, loss_cls: 6.6606, loss: 6.6606 2023-12-31 10:02:20,643 - pyskl - INFO - Epoch [70][2200/3746] lr: 5.566e-02, eta: 2 days, 4:37:41, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3106, top5_acc: 0.5631, loss_cls: 6.6839, loss: 6.6839 2023-12-31 10:03:20,013 - pyskl - INFO - Epoch [70][2300/3746] lr: 5.563e-02, eta: 2 days, 4:36:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5692, loss_cls: 6.6396, loss: 6.6396 2023-12-31 10:04:19,313 - pyskl - INFO - Epoch [70][2400/3746] lr: 5.560e-02, eta: 2 days, 4:35:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3170, top5_acc: 0.5706, loss_cls: 6.6557, loss: 6.6557 2023-12-31 10:05:18,661 - pyskl - INFO - Epoch [70][2500/3746] lr: 5.557e-02, eta: 2 days, 4:34:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3181, top5_acc: 0.5720, loss_cls: 6.6714, loss: 6.6714 2023-12-31 10:06:18,968 - pyskl - INFO - Epoch [70][2600/3746] lr: 5.555e-02, eta: 2 days, 4:33:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3073, top5_acc: 0.5680, loss_cls: 6.6788, loss: 6.6788 2023-12-31 10:07:19,451 - pyskl - INFO - Epoch [70][2700/3746] lr: 5.552e-02, eta: 2 days, 4:32:09, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3100, top5_acc: 0.5678, loss_cls: 6.6747, loss: 6.6747 2023-12-31 10:08:18,751 - pyskl - INFO - Epoch [70][2800/3746] lr: 5.549e-02, eta: 2 days, 4:31:02, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3034, top5_acc: 0.5617, loss_cls: 6.7160, loss: 6.7160 2023-12-31 10:09:17,982 - pyskl - INFO - Epoch [70][2900/3746] lr: 5.546e-02, eta: 2 days, 4:29:55, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5587, loss_cls: 6.7006, loss: 6.7006 2023-12-31 10:10:17,576 - pyskl - INFO - Epoch [70][3000/3746] lr: 5.543e-02, eta: 2 days, 4:28:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5620, loss_cls: 6.7065, loss: 6.7065 2023-12-31 10:11:16,649 - pyskl - INFO - Epoch [70][3100/3746] lr: 5.541e-02, eta: 2 days, 4:27:41, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3055, top5_acc: 0.5613, loss_cls: 6.6960, loss: 6.6960 2023-12-31 10:12:16,861 - pyskl - INFO - Epoch [70][3200/3746] lr: 5.538e-02, eta: 2 days, 4:26:35, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3102, top5_acc: 0.5656, loss_cls: 6.6750, loss: 6.6750 2023-12-31 10:13:16,947 - pyskl - INFO - Epoch [70][3300/3746] lr: 5.535e-02, eta: 2 days, 4:25:29, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3173, top5_acc: 0.5789, loss_cls: 6.6110, loss: 6.6110 2023-12-31 10:14:17,379 - pyskl - INFO - Epoch [70][3400/3746] lr: 5.532e-02, eta: 2 days, 4:24:23, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3109, top5_acc: 0.5614, loss_cls: 6.6794, loss: 6.6794 2023-12-31 10:15:17,111 - pyskl - INFO - Epoch [70][3500/3746] lr: 5.530e-02, eta: 2 days, 4:23:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5670, loss_cls: 6.6747, loss: 6.6747 2023-12-31 10:16:17,052 - pyskl - INFO - Epoch [70][3600/3746] lr: 5.527e-02, eta: 2 days, 4:22:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3120, top5_acc: 0.5678, loss_cls: 6.6651, loss: 6.6651 2023-12-31 10:17:17,625 - pyskl - INFO - Epoch [70][3700/3746] lr: 5.524e-02, eta: 2 days, 4:21:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3070, top5_acc: 0.5581, loss_cls: 6.6924, loss: 6.6924 2023-12-31 10:17:47,318 - pyskl - INFO - Saving checkpoint at 70 epochs 2023-12-31 10:19:48,086 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 10:19:48,896 - pyskl - INFO - top1_acc 0.2383 top5_acc 0.4819 2023-12-31 10:19:48,896 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 10:19:48,929 - pyskl - INFO - mean_acc 0.2380 2023-12-31 10:19:48,937 - pyskl - INFO - Epoch(val) [70][309] top1_acc: 0.2383, top5_acc: 0.4819, mean_class_accuracy: 0.2380 2023-12-31 10:23:17,402 - pyskl - INFO - Epoch [71][100/3746] lr: 5.520e-02, eta: 2 days, 4:21:46, time: 2.085, data_time: 1.486, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5750, loss_cls: 6.6072, loss: 6.6072 2023-12-31 10:24:16,751 - pyskl - INFO - Epoch [71][200/3746] lr: 5.517e-02, eta: 2 days, 4:20:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5756, loss_cls: 6.6532, loss: 6.6532 2023-12-31 10:25:16,002 - pyskl - INFO - Epoch [71][300/3746] lr: 5.514e-02, eta: 2 days, 4:19:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5795, loss_cls: 6.6126, loss: 6.6126 2023-12-31 10:26:15,229 - pyskl - INFO - Epoch [71][400/3746] lr: 5.512e-02, eta: 2 days, 4:18:25, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3159, top5_acc: 0.5675, loss_cls: 6.6485, loss: 6.6485 2023-12-31 10:27:14,428 - pyskl - INFO - Epoch [71][500/3746] lr: 5.509e-02, eta: 2 days, 4:17:18, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5803, loss_cls: 6.5880, loss: 6.5880 2023-12-31 10:28:14,297 - pyskl - INFO - Epoch [71][600/3746] lr: 5.506e-02, eta: 2 days, 4:16:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3159, top5_acc: 0.5639, loss_cls: 6.6631, loss: 6.6631 2023-12-31 10:29:14,329 - pyskl - INFO - Epoch [71][700/3746] lr: 5.503e-02, eta: 2 days, 4:15:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3217, top5_acc: 0.5747, loss_cls: 6.5975, loss: 6.5975 2023-12-31 10:30:14,126 - pyskl - INFO - Epoch [71][800/3746] lr: 5.500e-02, eta: 2 days, 4:13:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3187, top5_acc: 0.5678, loss_cls: 6.6331, loss: 6.6331 2023-12-31 10:31:14,258 - pyskl - INFO - Epoch [71][900/3746] lr: 5.498e-02, eta: 2 days, 4:12:53, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5711, loss_cls: 6.6711, loss: 6.6711 2023-12-31 10:32:14,572 - pyskl - INFO - Epoch [71][1000/3746] lr: 5.495e-02, eta: 2 days, 4:11:47, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3153, top5_acc: 0.5687, loss_cls: 6.6586, loss: 6.6586 2023-12-31 10:33:14,550 - pyskl - INFO - Epoch [71][1100/3746] lr: 5.492e-02, eta: 2 days, 4:10:41, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3102, top5_acc: 0.5614, loss_cls: 6.6891, loss: 6.6891 2023-12-31 10:34:14,039 - pyskl - INFO - Epoch [71][1200/3746] lr: 5.489e-02, eta: 2 days, 4:09:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3123, top5_acc: 0.5705, loss_cls: 6.6777, loss: 6.6777 2023-12-31 10:35:13,379 - pyskl - INFO - Epoch [71][1300/3746] lr: 5.487e-02, eta: 2 days, 4:08:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5730, loss_cls: 6.6470, loss: 6.6470 2023-12-31 10:36:13,089 - pyskl - INFO - Epoch [71][1400/3746] lr: 5.484e-02, eta: 2 days, 4:07:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3136, top5_acc: 0.5756, loss_cls: 6.6507, loss: 6.6507 2023-12-31 10:37:12,787 - pyskl - INFO - Epoch [71][1500/3746] lr: 5.481e-02, eta: 2 days, 4:06:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5672, loss_cls: 6.6867, loss: 6.6867 2023-12-31 10:38:12,059 - pyskl - INFO - Epoch [71][1600/3746] lr: 5.478e-02, eta: 2 days, 4:05:07, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3205, top5_acc: 0.5764, loss_cls: 6.6564, loss: 6.6564 2023-12-31 10:39:11,275 - pyskl - INFO - Epoch [71][1700/3746] lr: 5.475e-02, eta: 2 days, 4:04:00, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5681, loss_cls: 6.6762, loss: 6.6762 2023-12-31 10:40:11,058 - pyskl - INFO - Epoch [71][1800/3746] lr: 5.473e-02, eta: 2 days, 4:02:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3116, top5_acc: 0.5661, loss_cls: 6.6547, loss: 6.6547 2023-12-31 10:41:10,428 - pyskl - INFO - Epoch [71][1900/3746] lr: 5.470e-02, eta: 2 days, 4:01:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5725, loss_cls: 6.6703, loss: 6.6703 2023-12-31 10:42:10,474 - pyskl - INFO - Epoch [71][2000/3746] lr: 5.467e-02, eta: 2 days, 4:00:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5663, loss_cls: 6.6822, loss: 6.6822 2023-12-31 10:43:10,752 - pyskl - INFO - Epoch [71][2100/3746] lr: 5.464e-02, eta: 2 days, 3:59:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3234, top5_acc: 0.5877, loss_cls: 6.6025, loss: 6.6025 2023-12-31 10:44:10,926 - pyskl - INFO - Epoch [71][2200/3746] lr: 5.461e-02, eta: 2 days, 3:58:28, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3047, top5_acc: 0.5684, loss_cls: 6.6798, loss: 6.6798 2023-12-31 10:45:10,316 - pyskl - INFO - Epoch [71][2300/3746] lr: 5.459e-02, eta: 2 days, 3:57:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3206, top5_acc: 0.5763, loss_cls: 6.6433, loss: 6.6433 2023-12-31 10:46:09,868 - pyskl - INFO - Epoch [71][2400/3746] lr: 5.456e-02, eta: 2 days, 3:56:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5717, loss_cls: 6.6744, loss: 6.6744 2023-12-31 10:47:09,273 - pyskl - INFO - Epoch [71][2500/3746] lr: 5.453e-02, eta: 2 days, 3:55:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3038, top5_acc: 0.5709, loss_cls: 6.6660, loss: 6.6660 2023-12-31 10:48:09,189 - pyskl - INFO - Epoch [71][2600/3746] lr: 5.450e-02, eta: 2 days, 3:54:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3223, top5_acc: 0.5673, loss_cls: 6.6293, loss: 6.6293 2023-12-31 10:49:09,249 - pyskl - INFO - Epoch [71][2700/3746] lr: 5.448e-02, eta: 2 days, 3:52:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5739, loss_cls: 6.6355, loss: 6.6355 2023-12-31 10:50:08,836 - pyskl - INFO - Epoch [71][2800/3746] lr: 5.445e-02, eta: 2 days, 3:51:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3120, top5_acc: 0.5677, loss_cls: 6.6775, loss: 6.6775 2023-12-31 10:51:08,074 - pyskl - INFO - Epoch [71][2900/3746] lr: 5.442e-02, eta: 2 days, 3:50:42, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5536, loss_cls: 6.7236, loss: 6.7236 2023-12-31 10:52:07,391 - pyskl - INFO - Epoch [71][3000/3746] lr: 5.439e-02, eta: 2 days, 3:49:35, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3144, top5_acc: 0.5714, loss_cls: 6.6442, loss: 6.6442 2023-12-31 10:53:06,984 - pyskl - INFO - Epoch [71][3100/3746] lr: 5.436e-02, eta: 2 days, 3:48:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5755, loss_cls: 6.6298, loss: 6.6298 2023-12-31 10:54:06,181 - pyskl - INFO - Epoch [71][3200/3746] lr: 5.434e-02, eta: 2 days, 3:47:22, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3191, top5_acc: 0.5725, loss_cls: 6.6299, loss: 6.6299 2023-12-31 10:55:05,536 - pyskl - INFO - Epoch [71][3300/3746] lr: 5.431e-02, eta: 2 days, 3:46:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3050, top5_acc: 0.5587, loss_cls: 6.6753, loss: 6.6753 2023-12-31 10:56:04,733 - pyskl - INFO - Epoch [71][3400/3746] lr: 5.428e-02, eta: 2 days, 3:45:08, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5539, loss_cls: 6.7254, loss: 6.7254 2023-12-31 10:57:04,135 - pyskl - INFO - Epoch [71][3500/3746] lr: 5.425e-02, eta: 2 days, 3:44:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3106, top5_acc: 0.5689, loss_cls: 6.6711, loss: 6.6711 2023-12-31 10:58:03,384 - pyskl - INFO - Epoch [71][3600/3746] lr: 5.422e-02, eta: 2 days, 3:42:54, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5663, loss_cls: 6.6518, loss: 6.6518 2023-12-31 10:59:02,721 - pyskl - INFO - Epoch [71][3700/3746] lr: 5.420e-02, eta: 2 days, 3:41:47, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3055, top5_acc: 0.5555, loss_cls: 6.6713, loss: 6.6713 2023-12-31 10:59:32,493 - pyskl - INFO - Saving checkpoint at 71 epochs 2023-12-31 11:01:33,549 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 11:01:34,608 - pyskl - INFO - top1_acc 0.2446 top5_acc 0.4916 2023-12-31 11:01:34,608 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 11:01:34,655 - pyskl - INFO - mean_acc 0.2443 2023-12-31 11:01:34,667 - pyskl - INFO - Epoch(val) [71][309] top1_acc: 0.2446, top5_acc: 0.4916, mean_class_accuracy: 0.2443 2023-12-31 11:04:56,007 - pyskl - INFO - Epoch [72][100/3746] lr: 5.416e-02, eta: 2 days, 3:42:17, time: 2.013, data_time: 1.419, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5694, loss_cls: 6.6357, loss: 6.6357 2023-12-31 11:05:55,632 - pyskl - INFO - Epoch [72][200/3746] lr: 5.413e-02, eta: 2 days, 3:41:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3325, top5_acc: 0.5923, loss_cls: 6.5543, loss: 6.5543 2023-12-31 11:06:55,128 - pyskl - INFO - Epoch [72][300/3746] lr: 5.410e-02, eta: 2 days, 3:40:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5748, loss_cls: 6.6170, loss: 6.6170 2023-12-31 11:07:54,493 - pyskl - INFO - Epoch [72][400/3746] lr: 5.407e-02, eta: 2 days, 3:38:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3241, top5_acc: 0.5767, loss_cls: 6.6205, loss: 6.6205 2023-12-31 11:08:54,201 - pyskl - INFO - Epoch [72][500/3746] lr: 5.404e-02, eta: 2 days, 3:37:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5781, loss_cls: 6.5912, loss: 6.5912 2023-12-31 11:09:54,018 - pyskl - INFO - Epoch [72][600/3746] lr: 5.402e-02, eta: 2 days, 3:36:44, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5673, loss_cls: 6.6890, loss: 6.6890 2023-12-31 11:10:54,792 - pyskl - INFO - Epoch [72][700/3746] lr: 5.399e-02, eta: 2 days, 3:35:39, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3187, top5_acc: 0.5737, loss_cls: 6.6259, loss: 6.6259 2023-12-31 11:11:54,658 - pyskl - INFO - Epoch [72][800/3746] lr: 5.396e-02, eta: 2 days, 3:34:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5713, loss_cls: 6.6893, loss: 6.6893 2023-12-31 11:12:54,550 - pyskl - INFO - Epoch [72][900/3746] lr: 5.393e-02, eta: 2 days, 3:33:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5561, loss_cls: 6.6859, loss: 6.6859 2023-12-31 11:13:54,504 - pyskl - INFO - Epoch [72][1000/3746] lr: 5.391e-02, eta: 2 days, 3:32:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5695, loss_cls: 6.6523, loss: 6.6523 2023-12-31 11:14:54,373 - pyskl - INFO - Epoch [72][1100/3746] lr: 5.388e-02, eta: 2 days, 3:31:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3142, top5_acc: 0.5702, loss_cls: 6.6588, loss: 6.6588 2023-12-31 11:15:54,035 - pyskl - INFO - Epoch [72][1200/3746] lr: 5.385e-02, eta: 2 days, 3:30:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5697, loss_cls: 6.6476, loss: 6.6476 2023-12-31 11:16:53,768 - pyskl - INFO - Epoch [72][1300/3746] lr: 5.382e-02, eta: 2 days, 3:29:01, time: 0.597, data_time: 0.001, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5739, loss_cls: 6.6347, loss: 6.6347 2023-12-31 11:17:53,598 - pyskl - INFO - Epoch [72][1400/3746] lr: 5.379e-02, eta: 2 days, 3:27:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3158, top5_acc: 0.5672, loss_cls: 6.6751, loss: 6.6751 2023-12-31 11:18:53,136 - pyskl - INFO - Epoch [72][1500/3746] lr: 5.377e-02, eta: 2 days, 3:26:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3158, top5_acc: 0.5766, loss_cls: 6.6366, loss: 6.6366 2023-12-31 11:19:52,702 - pyskl - INFO - Epoch [72][1600/3746] lr: 5.374e-02, eta: 2 days, 3:25:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5722, loss_cls: 6.6528, loss: 6.6528 2023-12-31 11:20:52,486 - pyskl - INFO - Epoch [72][1700/3746] lr: 5.371e-02, eta: 2 days, 3:24:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5603, loss_cls: 6.6982, loss: 6.6982 2023-12-31 11:21:52,372 - pyskl - INFO - Epoch [72][1800/3746] lr: 5.368e-02, eta: 2 days, 3:23:29, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5717, loss_cls: 6.6308, loss: 6.6308 2023-12-31 11:22:51,861 - pyskl - INFO - Epoch [72][1900/3746] lr: 5.365e-02, eta: 2 days, 3:22:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3167, top5_acc: 0.5734, loss_cls: 6.6398, loss: 6.6398 2023-12-31 11:23:51,726 - pyskl - INFO - Epoch [72][2000/3746] lr: 5.363e-02, eta: 2 days, 3:21:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3212, top5_acc: 0.5750, loss_cls: 6.6336, loss: 6.6336 2023-12-31 11:24:51,864 - pyskl - INFO - Epoch [72][2100/3746] lr: 5.360e-02, eta: 2 days, 3:20:11, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3245, top5_acc: 0.5787, loss_cls: 6.6094, loss: 6.6094 2023-12-31 11:25:51,478 - pyskl - INFO - Epoch [72][2200/3746] lr: 5.357e-02, eta: 2 days, 3:19:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3202, top5_acc: 0.5752, loss_cls: 6.6613, loss: 6.6613 2023-12-31 11:26:51,180 - pyskl - INFO - Epoch [72][2300/3746] lr: 5.354e-02, eta: 2 days, 3:17:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5686, loss_cls: 6.6429, loss: 6.6429 2023-12-31 11:27:51,659 - pyskl - INFO - Epoch [72][2400/3746] lr: 5.352e-02, eta: 2 days, 3:16:52, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3147, top5_acc: 0.5719, loss_cls: 6.6629, loss: 6.6629 2023-12-31 11:28:51,541 - pyskl - INFO - Epoch [72][2500/3746] lr: 5.349e-02, eta: 2 days, 3:15:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3145, top5_acc: 0.5750, loss_cls: 6.6380, loss: 6.6380 2023-12-31 11:29:51,800 - pyskl - INFO - Epoch [72][2600/3746] lr: 5.346e-02, eta: 2 days, 3:14:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3169, top5_acc: 0.5677, loss_cls: 6.6544, loss: 6.6544 2023-12-31 11:30:52,199 - pyskl - INFO - Epoch [72][2700/3746] lr: 5.343e-02, eta: 2 days, 3:13:35, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3055, top5_acc: 0.5666, loss_cls: 6.6767, loss: 6.6767 2023-12-31 11:31:51,698 - pyskl - INFO - Epoch [72][2800/3746] lr: 5.340e-02, eta: 2 days, 3:12:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5650, loss_cls: 6.6649, loss: 6.6649 2023-12-31 11:32:51,278 - pyskl - INFO - Epoch [72][2900/3746] lr: 5.338e-02, eta: 2 days, 3:11:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5737, loss_cls: 6.6485, loss: 6.6485 2023-12-31 11:33:50,751 - pyskl - INFO - Epoch [72][3000/3746] lr: 5.335e-02, eta: 2 days, 3:10:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3152, top5_acc: 0.5716, loss_cls: 6.6445, loss: 6.6445 2023-12-31 11:34:50,256 - pyskl - INFO - Epoch [72][3100/3746] lr: 5.332e-02, eta: 2 days, 3:09:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3130, top5_acc: 0.5759, loss_cls: 6.6516, loss: 6.6516 2023-12-31 11:35:50,303 - pyskl - INFO - Epoch [72][3200/3746] lr: 5.329e-02, eta: 2 days, 3:08:02, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3095, top5_acc: 0.5720, loss_cls: 6.6661, loss: 6.6661 2023-12-31 11:36:50,440 - pyskl - INFO - Epoch [72][3300/3746] lr: 5.326e-02, eta: 2 days, 3:06:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3183, top5_acc: 0.5733, loss_cls: 6.6421, loss: 6.6421 2023-12-31 11:37:50,388 - pyskl - INFO - Epoch [72][3400/3746] lr: 5.324e-02, eta: 2 days, 3:05:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3180, top5_acc: 0.5642, loss_cls: 6.6942, loss: 6.6942 2023-12-31 11:38:50,353 - pyskl - INFO - Epoch [72][3500/3746] lr: 5.321e-02, eta: 2 days, 3:04:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3134, top5_acc: 0.5703, loss_cls: 6.6482, loss: 6.6482 2023-12-31 11:39:49,761 - pyskl - INFO - Epoch [72][3600/3746] lr: 5.318e-02, eta: 2 days, 3:03:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3141, top5_acc: 0.5719, loss_cls: 6.6611, loss: 6.6611 2023-12-31 11:40:49,053 - pyskl - INFO - Epoch [72][3700/3746] lr: 5.315e-02, eta: 2 days, 3:02:31, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3136, top5_acc: 0.5833, loss_cls: 6.6118, loss: 6.6118 2023-12-31 11:41:19,718 - pyskl - INFO - Saving checkpoint at 72 epochs 2023-12-31 11:43:26,262 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 11:43:27,337 - pyskl - INFO - top1_acc 0.2363 top5_acc 0.4834 2023-12-31 11:43:27,337 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 11:43:27,375 - pyskl - INFO - mean_acc 0.2361 2023-12-31 11:43:27,384 - pyskl - INFO - Epoch(val) [72][309] top1_acc: 0.2363, top5_acc: 0.4834, mean_class_accuracy: 0.2361 2023-12-31 11:46:50,867 - pyskl - INFO - Epoch [73][100/3746] lr: 5.311e-02, eta: 2 days, 3:03:00, time: 2.035, data_time: 1.441, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5867, loss_cls: 6.5950, loss: 6.5950 2023-12-31 11:47:50,185 - pyskl - INFO - Epoch [73][200/3746] lr: 5.308e-02, eta: 2 days, 3:01:53, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3317, top5_acc: 0.5928, loss_cls: 6.5515, loss: 6.5515 2023-12-31 11:48:49,554 - pyskl - INFO - Epoch [73][300/3746] lr: 5.306e-02, eta: 2 days, 3:00:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3253, top5_acc: 0.5770, loss_cls: 6.6375, loss: 6.6375 2023-12-31 11:49:48,837 - pyskl - INFO - Epoch [73][400/3746] lr: 5.303e-02, eta: 2 days, 2:59:40, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3209, top5_acc: 0.5798, loss_cls: 6.6079, loss: 6.6079 2023-12-31 11:50:48,669 - pyskl - INFO - Epoch [73][500/3746] lr: 5.300e-02, eta: 2 days, 2:58:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3178, top5_acc: 0.5798, loss_cls: 6.5956, loss: 6.5956 2023-12-31 11:51:48,833 - pyskl - INFO - Epoch [73][600/3746] lr: 5.297e-02, eta: 2 days, 2:57:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3153, top5_acc: 0.5709, loss_cls: 6.6270, loss: 6.6270 2023-12-31 11:52:49,735 - pyskl - INFO - Epoch [73][700/3746] lr: 5.294e-02, eta: 2 days, 2:56:22, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5745, loss_cls: 6.6416, loss: 6.6416 2023-12-31 11:53:49,851 - pyskl - INFO - Epoch [73][800/3746] lr: 5.292e-02, eta: 2 days, 2:55:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5773, loss_cls: 6.6142, loss: 6.6142 2023-12-31 11:54:49,911 - pyskl - INFO - Epoch [73][900/3746] lr: 5.289e-02, eta: 2 days, 2:54:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3130, top5_acc: 0.5737, loss_cls: 6.6291, loss: 6.6291 2023-12-31 11:55:49,732 - pyskl - INFO - Epoch [73][1000/3746] lr: 5.286e-02, eta: 2 days, 2:53:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5756, loss_cls: 6.6219, loss: 6.6219 2023-12-31 11:56:49,313 - pyskl - INFO - Epoch [73][1100/3746] lr: 5.283e-02, eta: 2 days, 2:51:58, time: 0.596, data_time: 0.001, memory: 16177, top1_acc: 0.3267, top5_acc: 0.5792, loss_cls: 6.5874, loss: 6.5874 2023-12-31 11:57:49,239 - pyskl - INFO - Epoch [73][1200/3746] lr: 5.280e-02, eta: 2 days, 2:50:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5761, loss_cls: 6.6169, loss: 6.6169 2023-12-31 11:58:49,118 - pyskl - INFO - Epoch [73][1300/3746] lr: 5.278e-02, eta: 2 days, 2:49:45, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5791, loss_cls: 6.6253, loss: 6.6253 2023-12-31 11:59:48,371 - pyskl - INFO - Epoch [73][1400/3746] lr: 5.275e-02, eta: 2 days, 2:48:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3173, top5_acc: 0.5747, loss_cls: 6.6183, loss: 6.6183 2023-12-31 12:00:47,748 - pyskl - INFO - Epoch [73][1500/3746] lr: 5.272e-02, eta: 2 days, 2:47:32, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5828, loss_cls: 6.6141, loss: 6.6141 2023-12-31 12:01:47,148 - pyskl - INFO - Epoch [73][1600/3746] lr: 5.269e-02, eta: 2 days, 2:46:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3223, top5_acc: 0.5730, loss_cls: 6.6102, loss: 6.6102 2023-12-31 12:02:47,436 - pyskl - INFO - Epoch [73][1700/3746] lr: 5.267e-02, eta: 2 days, 2:45:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5778, loss_cls: 6.6054, loss: 6.6054 2023-12-31 12:03:47,592 - pyskl - INFO - Epoch [73][1800/3746] lr: 5.264e-02, eta: 2 days, 2:44:14, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5667, loss_cls: 6.6791, loss: 6.6791 2023-12-31 12:04:46,980 - pyskl - INFO - Epoch [73][1900/3746] lr: 5.261e-02, eta: 2 days, 2:43:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3230, top5_acc: 0.5752, loss_cls: 6.6206, loss: 6.6206 2023-12-31 12:05:46,350 - pyskl - INFO - Epoch [73][2000/3746] lr: 5.258e-02, eta: 2 days, 2:42:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3169, top5_acc: 0.5741, loss_cls: 6.6388, loss: 6.6388 2023-12-31 12:06:46,230 - pyskl - INFO - Epoch [73][2100/3746] lr: 5.255e-02, eta: 2 days, 2:40:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5684, loss_cls: 6.6543, loss: 6.6543 2023-12-31 12:07:46,344 - pyskl - INFO - Epoch [73][2200/3746] lr: 5.253e-02, eta: 2 days, 2:39:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3152, top5_acc: 0.5708, loss_cls: 6.6488, loss: 6.6488 2023-12-31 12:08:46,296 - pyskl - INFO - Epoch [73][2300/3746] lr: 5.250e-02, eta: 2 days, 2:38:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3169, top5_acc: 0.5703, loss_cls: 6.6534, loss: 6.6534 2023-12-31 12:09:45,704 - pyskl - INFO - Epoch [73][2400/3746] lr: 5.247e-02, eta: 2 days, 2:37:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3186, top5_acc: 0.5683, loss_cls: 6.6574, loss: 6.6574 2023-12-31 12:10:44,954 - pyskl - INFO - Epoch [73][2500/3746] lr: 5.244e-02, eta: 2 days, 2:36:29, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3280, top5_acc: 0.5747, loss_cls: 6.6203, loss: 6.6203 2023-12-31 12:11:44,495 - pyskl - INFO - Epoch [73][2600/3746] lr: 5.241e-02, eta: 2 days, 2:35:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3144, top5_acc: 0.5714, loss_cls: 6.6461, loss: 6.6461 2023-12-31 12:12:44,730 - pyskl - INFO - Epoch [73][2700/3746] lr: 5.239e-02, eta: 2 days, 2:34:17, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3152, top5_acc: 0.5709, loss_cls: 6.6399, loss: 6.6399 2023-12-31 12:13:45,404 - pyskl - INFO - Epoch [73][2800/3746] lr: 5.236e-02, eta: 2 days, 2:33:12, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3208, top5_acc: 0.5809, loss_cls: 6.6295, loss: 6.6295 2023-12-31 12:14:44,707 - pyskl - INFO - Epoch [73][2900/3746] lr: 5.233e-02, eta: 2 days, 2:32:05, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5722, loss_cls: 6.6408, loss: 6.6408 2023-12-31 12:15:44,398 - pyskl - INFO - Epoch [73][3000/3746] lr: 5.230e-02, eta: 2 days, 2:30:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5664, loss_cls: 6.6674, loss: 6.6674 2023-12-31 12:16:44,456 - pyskl - INFO - Epoch [73][3100/3746] lr: 5.227e-02, eta: 2 days, 2:29:53, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3044, top5_acc: 0.5667, loss_cls: 6.6933, loss: 6.6933 2023-12-31 12:17:43,844 - pyskl - INFO - Epoch [73][3200/3746] lr: 5.225e-02, eta: 2 days, 2:28:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5581, loss_cls: 6.6985, loss: 6.6985 2023-12-31 12:18:43,190 - pyskl - INFO - Epoch [73][3300/3746] lr: 5.222e-02, eta: 2 days, 2:27:40, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3239, top5_acc: 0.5752, loss_cls: 6.6232, loss: 6.6232 2023-12-31 12:19:42,578 - pyskl - INFO - Epoch [73][3400/3746] lr: 5.219e-02, eta: 2 days, 2:26:33, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3102, top5_acc: 0.5689, loss_cls: 6.6719, loss: 6.6719 2023-12-31 12:20:42,681 - pyskl - INFO - Epoch [73][3500/3746] lr: 5.216e-02, eta: 2 days, 2:25:27, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3109, top5_acc: 0.5727, loss_cls: 6.6666, loss: 6.6666 2023-12-31 12:21:42,136 - pyskl - INFO - Epoch [73][3600/3746] lr: 5.213e-02, eta: 2 days, 2:24:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5803, loss_cls: 6.6243, loss: 6.6243 2023-12-31 12:22:41,546 - pyskl - INFO - Epoch [73][3700/3746] lr: 5.211e-02, eta: 2 days, 2:23:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5644, loss_cls: 6.6862, loss: 6.6862 2023-12-31 12:23:11,365 - pyskl - INFO - Saving checkpoint at 73 epochs 2023-12-31 12:25:12,084 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 12:25:13,098 - pyskl - INFO - top1_acc 0.2376 top5_acc 0.4793 2023-12-31 12:25:13,099 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 12:25:13,139 - pyskl - INFO - mean_acc 0.2372 2023-12-31 12:25:13,149 - pyskl - INFO - Epoch(val) [73][309] top1_acc: 0.2376, top5_acc: 0.4793, mean_class_accuracy: 0.2372 2023-12-31 12:28:33,007 - pyskl - INFO - Epoch [74][100/3746] lr: 5.207e-02, eta: 2 days, 2:23:36, time: 1.998, data_time: 1.405, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5905, loss_cls: 6.5396, loss: 6.5396 2023-12-31 12:29:32,400 - pyskl - INFO - Epoch [74][200/3746] lr: 5.204e-02, eta: 2 days, 2:22:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3166, top5_acc: 0.5772, loss_cls: 6.6108, loss: 6.6108 2023-12-31 12:30:31,655 - pyskl - INFO - Epoch [74][300/3746] lr: 5.201e-02, eta: 2 days, 2:21:23, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3144, top5_acc: 0.5747, loss_cls: 6.6505, loss: 6.6505 2023-12-31 12:31:30,880 - pyskl - INFO - Epoch [74][400/3746] lr: 5.198e-02, eta: 2 days, 2:20:16, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3173, top5_acc: 0.5752, loss_cls: 6.6258, loss: 6.6258 2023-12-31 12:32:30,399 - pyskl - INFO - Epoch [74][500/3746] lr: 5.195e-02, eta: 2 days, 2:19:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5805, loss_cls: 6.6170, loss: 6.6170 2023-12-31 12:33:29,737 - pyskl - INFO - Epoch [74][600/3746] lr: 5.193e-02, eta: 2 days, 2:18:03, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3116, top5_acc: 0.5725, loss_cls: 6.6533, loss: 6.6533 2023-12-31 12:34:29,807 - pyskl - INFO - Epoch [74][700/3746] lr: 5.190e-02, eta: 2 days, 2:16:57, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5773, loss_cls: 6.5933, loss: 6.5933 2023-12-31 12:35:29,878 - pyskl - INFO - Epoch [74][800/3746] lr: 5.187e-02, eta: 2 days, 2:15:51, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3212, top5_acc: 0.5837, loss_cls: 6.6107, loss: 6.6107 2023-12-31 12:36:29,480 - pyskl - INFO - Epoch [74][900/3746] lr: 5.184e-02, eta: 2 days, 2:14:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3155, top5_acc: 0.5786, loss_cls: 6.6166, loss: 6.6166 2023-12-31 12:37:29,288 - pyskl - INFO - Epoch [74][1000/3746] lr: 5.181e-02, eta: 2 days, 2:13:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3248, top5_acc: 0.5877, loss_cls: 6.5757, loss: 6.5757 2023-12-31 12:38:29,243 - pyskl - INFO - Epoch [74][1100/3746] lr: 5.179e-02, eta: 2 days, 2:12:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3256, top5_acc: 0.5808, loss_cls: 6.5970, loss: 6.5970 2023-12-31 12:39:29,166 - pyskl - INFO - Epoch [74][1200/3746] lr: 5.176e-02, eta: 2 days, 2:11:26, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3236, top5_acc: 0.5830, loss_cls: 6.6118, loss: 6.6118 2023-12-31 12:40:28,910 - pyskl - INFO - Epoch [74][1300/3746] lr: 5.173e-02, eta: 2 days, 2:10:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3105, top5_acc: 0.5713, loss_cls: 6.6561, loss: 6.6561 2023-12-31 12:41:28,705 - pyskl - INFO - Epoch [74][1400/3746] lr: 5.170e-02, eta: 2 days, 2:09:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3200, top5_acc: 0.5702, loss_cls: 6.6427, loss: 6.6427 2023-12-31 12:42:28,528 - pyskl - INFO - Epoch [74][1500/3746] lr: 5.168e-02, eta: 2 days, 2:08:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3217, top5_acc: 0.5680, loss_cls: 6.6531, loss: 6.6531 2023-12-31 12:43:27,845 - pyskl - INFO - Epoch [74][1600/3746] lr: 5.165e-02, eta: 2 days, 2:07:01, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5775, loss_cls: 6.6341, loss: 6.6341 2023-12-31 12:44:27,497 - pyskl - INFO - Epoch [74][1700/3746] lr: 5.162e-02, eta: 2 days, 2:05:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3106, top5_acc: 0.5763, loss_cls: 6.6262, loss: 6.6262 2023-12-31 12:45:26,980 - pyskl - INFO - Epoch [74][1800/3746] lr: 5.159e-02, eta: 2 days, 2:04:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3212, top5_acc: 0.5766, loss_cls: 6.6186, loss: 6.6186 2023-12-31 12:46:26,843 - pyskl - INFO - Epoch [74][1900/3746] lr: 5.156e-02, eta: 2 days, 2:03:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3230, top5_acc: 0.5733, loss_cls: 6.6152, loss: 6.6152 2023-12-31 12:47:26,337 - pyskl - INFO - Epoch [74][2000/3746] lr: 5.154e-02, eta: 2 days, 2:02:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3120, top5_acc: 0.5805, loss_cls: 6.6047, loss: 6.6047 2023-12-31 12:48:26,640 - pyskl - INFO - Epoch [74][2100/3746] lr: 5.151e-02, eta: 2 days, 2:01:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3070, top5_acc: 0.5759, loss_cls: 6.6340, loss: 6.6340 2023-12-31 12:49:26,864 - pyskl - INFO - Epoch [74][2200/3746] lr: 5.148e-02, eta: 2 days, 2:00:25, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5783, loss_cls: 6.6235, loss: 6.6235 2023-12-31 12:50:26,762 - pyskl - INFO - Epoch [74][2300/3746] lr: 5.145e-02, eta: 2 days, 1:59:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5750, loss_cls: 6.6347, loss: 6.6347 2023-12-31 12:51:26,539 - pyskl - INFO - Epoch [74][2400/3746] lr: 5.142e-02, eta: 2 days, 1:58:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3167, top5_acc: 0.5723, loss_cls: 6.6427, loss: 6.6427 2023-12-31 12:52:26,047 - pyskl - INFO - Epoch [74][2500/3746] lr: 5.140e-02, eta: 2 days, 1:57:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3141, top5_acc: 0.5733, loss_cls: 6.6261, loss: 6.6261 2023-12-31 12:53:25,216 - pyskl - INFO - Epoch [74][2600/3746] lr: 5.137e-02, eta: 2 days, 1:56:00, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5708, loss_cls: 6.6449, loss: 6.6449 2023-12-31 12:54:25,213 - pyskl - INFO - Epoch [74][2700/3746] lr: 5.134e-02, eta: 2 days, 1:54:54, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5620, loss_cls: 6.6809, loss: 6.6809 2023-12-31 12:55:24,996 - pyskl - INFO - Epoch [74][2800/3746] lr: 5.131e-02, eta: 2 days, 1:53:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3252, top5_acc: 0.5766, loss_cls: 6.6168, loss: 6.6168 2023-12-31 12:56:24,338 - pyskl - INFO - Epoch [74][2900/3746] lr: 5.128e-02, eta: 2 days, 1:52:41, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3180, top5_acc: 0.5764, loss_cls: 6.6232, loss: 6.6232 2023-12-31 12:57:23,832 - pyskl - INFO - Epoch [74][3000/3746] lr: 5.126e-02, eta: 2 days, 1:51:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3061, top5_acc: 0.5758, loss_cls: 6.6442, loss: 6.6442 2023-12-31 12:58:23,622 - pyskl - INFO - Epoch [74][3100/3746] lr: 5.123e-02, eta: 2 days, 1:50:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5692, loss_cls: 6.6548, loss: 6.6548 2023-12-31 12:59:23,024 - pyskl - INFO - Epoch [74][3200/3746] lr: 5.120e-02, eta: 2 days, 1:49:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3191, top5_acc: 0.5714, loss_cls: 6.6274, loss: 6.6274 2023-12-31 13:00:22,098 - pyskl - INFO - Epoch [74][3300/3746] lr: 5.117e-02, eta: 2 days, 1:48:15, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5753, loss_cls: 6.6615, loss: 6.6615 2023-12-31 13:01:21,226 - pyskl - INFO - Epoch [74][3400/3746] lr: 5.114e-02, eta: 2 days, 1:47:09, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3133, top5_acc: 0.5586, loss_cls: 6.6887, loss: 6.6887 2023-12-31 13:02:20,449 - pyskl - INFO - Epoch [74][3500/3746] lr: 5.112e-02, eta: 2 days, 1:46:02, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3228, top5_acc: 0.5789, loss_cls: 6.5836, loss: 6.5836 2023-12-31 13:03:20,202 - pyskl - INFO - Epoch [74][3600/3746] lr: 5.109e-02, eta: 2 days, 1:44:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3253, top5_acc: 0.5722, loss_cls: 6.6422, loss: 6.6422 2023-12-31 13:04:19,805 - pyskl - INFO - Epoch [74][3700/3746] lr: 5.106e-02, eta: 2 days, 1:43:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5748, loss_cls: 6.6370, loss: 6.6370 2023-12-31 13:04:49,222 - pyskl - INFO - Saving checkpoint at 74 epochs 2023-12-31 13:06:50,331 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 13:06:51,418 - pyskl - INFO - top1_acc 0.2332 top5_acc 0.4743 2023-12-31 13:06:51,418 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 13:06:51,469 - pyskl - INFO - mean_acc 0.2330 2023-12-31 13:06:51,479 - pyskl - INFO - Epoch(val) [74][309] top1_acc: 0.2332, top5_acc: 0.4743, mean_class_accuracy: 0.2330 2023-12-31 13:10:16,488 - pyskl - INFO - Epoch [75][100/3746] lr: 5.102e-02, eta: 2 days, 1:44:14, time: 2.050, data_time: 1.456, memory: 16177, top1_acc: 0.3261, top5_acc: 0.6030, loss_cls: 6.5152, loss: 6.5152 2023-12-31 13:11:15,620 - pyskl - INFO - Epoch [75][200/3746] lr: 5.099e-02, eta: 2 days, 1:43:07, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3270, top5_acc: 0.5867, loss_cls: 6.5566, loss: 6.5566 2023-12-31 13:12:14,572 - pyskl - INFO - Epoch [75][300/3746] lr: 5.096e-02, eta: 2 days, 1:42:00, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3245, top5_acc: 0.5784, loss_cls: 6.6038, loss: 6.6038 2023-12-31 13:13:14,297 - pyskl - INFO - Epoch [75][400/3746] lr: 5.094e-02, eta: 2 days, 1:40:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5756, loss_cls: 6.6368, loss: 6.6368 2023-12-31 13:14:13,749 - pyskl - INFO - Epoch [75][500/3746] lr: 5.091e-02, eta: 2 days, 1:39:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5775, loss_cls: 6.6161, loss: 6.6161 2023-12-31 13:15:13,154 - pyskl - INFO - Epoch [75][600/3746] lr: 5.088e-02, eta: 2 days, 1:38:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3234, top5_acc: 0.5842, loss_cls: 6.5888, loss: 6.5888 2023-12-31 13:16:13,015 - pyskl - INFO - Epoch [75][700/3746] lr: 5.085e-02, eta: 2 days, 1:37:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3114, top5_acc: 0.5720, loss_cls: 6.6514, loss: 6.6514 2023-12-31 13:17:13,138 - pyskl - INFO - Epoch [75][800/3746] lr: 5.082e-02, eta: 2 days, 1:36:29, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5677, loss_cls: 6.6402, loss: 6.6402 2023-12-31 13:18:12,813 - pyskl - INFO - Epoch [75][900/3746] lr: 5.080e-02, eta: 2 days, 1:35:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5809, loss_cls: 6.5937, loss: 6.5937 2023-12-31 13:19:12,870 - pyskl - INFO - Epoch [75][1000/3746] lr: 5.077e-02, eta: 2 days, 1:34:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5850, loss_cls: 6.6030, loss: 6.6030 2023-12-31 13:20:13,009 - pyskl - INFO - Epoch [75][1100/3746] lr: 5.074e-02, eta: 2 days, 1:33:12, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5884, loss_cls: 6.5633, loss: 6.5633 2023-12-31 13:21:12,665 - pyskl - INFO - Epoch [75][1200/3746] lr: 5.071e-02, eta: 2 days, 1:32:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3105, top5_acc: 0.5787, loss_cls: 6.6266, loss: 6.6266 2023-12-31 13:22:12,079 - pyskl - INFO - Epoch [75][1300/3746] lr: 5.068e-02, eta: 2 days, 1:30:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3275, top5_acc: 0.5791, loss_cls: 6.5954, loss: 6.5954 2023-12-31 13:23:11,749 - pyskl - INFO - Epoch [75][1400/3746] lr: 5.066e-02, eta: 2 days, 1:29:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5669, loss_cls: 6.6368, loss: 6.6368 2023-12-31 13:24:11,516 - pyskl - INFO - Epoch [75][1500/3746] lr: 5.063e-02, eta: 2 days, 1:28:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3167, top5_acc: 0.5694, loss_cls: 6.6442, loss: 6.6442 2023-12-31 13:25:10,601 - pyskl - INFO - Epoch [75][1600/3746] lr: 5.060e-02, eta: 2 days, 1:27:40, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3202, top5_acc: 0.5713, loss_cls: 6.6257, loss: 6.6257 2023-12-31 13:26:10,291 - pyskl - INFO - Epoch [75][1700/3746] lr: 5.057e-02, eta: 2 days, 1:26:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3208, top5_acc: 0.5906, loss_cls: 6.5953, loss: 6.5953 2023-12-31 13:27:09,407 - pyskl - INFO - Epoch [75][1800/3746] lr: 5.054e-02, eta: 2 days, 1:25:27, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3275, top5_acc: 0.5894, loss_cls: 6.5706, loss: 6.5706 2023-12-31 13:28:08,367 - pyskl - INFO - Epoch [75][1900/3746] lr: 5.052e-02, eta: 2 days, 1:24:20, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5834, loss_cls: 6.6052, loss: 6.6052 2023-12-31 13:29:07,683 - pyskl - INFO - Epoch [75][2000/3746] lr: 5.049e-02, eta: 2 days, 1:23:14, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3183, top5_acc: 0.5763, loss_cls: 6.6213, loss: 6.6213 2023-12-31 13:30:07,763 - pyskl - INFO - Epoch [75][2100/3746] lr: 5.046e-02, eta: 2 days, 1:22:08, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3211, top5_acc: 0.5766, loss_cls: 6.6267, loss: 6.6267 2023-12-31 13:31:07,171 - pyskl - INFO - Epoch [75][2200/3746] lr: 5.043e-02, eta: 2 days, 1:21:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3255, top5_acc: 0.5822, loss_cls: 6.5911, loss: 6.5911 2023-12-31 13:32:06,743 - pyskl - INFO - Epoch [75][2300/3746] lr: 5.040e-02, eta: 2 days, 1:19:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5783, loss_cls: 6.6140, loss: 6.6140 2023-12-31 13:33:06,203 - pyskl - INFO - Epoch [75][2400/3746] lr: 5.038e-02, eta: 2 days, 1:18:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3272, top5_acc: 0.5822, loss_cls: 6.5750, loss: 6.5750 2023-12-31 13:34:05,829 - pyskl - INFO - Epoch [75][2500/3746] lr: 5.035e-02, eta: 2 days, 1:17:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5759, loss_cls: 6.6477, loss: 6.6477 2023-12-31 13:35:05,899 - pyskl - INFO - Epoch [75][2600/3746] lr: 5.032e-02, eta: 2 days, 1:16:37, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3245, top5_acc: 0.5836, loss_cls: 6.5830, loss: 6.5830 2023-12-31 13:36:06,098 - pyskl - INFO - Epoch [75][2700/3746] lr: 5.029e-02, eta: 2 days, 1:15:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5758, loss_cls: 6.6357, loss: 6.6357 2023-12-31 13:37:05,854 - pyskl - INFO - Epoch [75][2800/3746] lr: 5.026e-02, eta: 2 days, 1:14:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5622, loss_cls: 6.6739, loss: 6.6739 2023-12-31 13:38:06,254 - pyskl - INFO - Epoch [75][2900/3746] lr: 5.024e-02, eta: 2 days, 1:13:20, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5706, loss_cls: 6.6275, loss: 6.6275 2023-12-31 13:39:06,016 - pyskl - INFO - Epoch [75][3000/3746] lr: 5.021e-02, eta: 2 days, 1:12:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3180, top5_acc: 0.5747, loss_cls: 6.6330, loss: 6.6330 2023-12-31 13:40:05,547 - pyskl - INFO - Epoch [75][3100/3746] lr: 5.018e-02, eta: 2 days, 1:11:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3272, top5_acc: 0.5733, loss_cls: 6.6381, loss: 6.6381 2023-12-31 13:41:05,114 - pyskl - INFO - Epoch [75][3200/3746] lr: 5.015e-02, eta: 2 days, 1:10:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3287, top5_acc: 0.5734, loss_cls: 6.6121, loss: 6.6121 2023-12-31 13:42:04,434 - pyskl - INFO - Epoch [75][3300/3746] lr: 5.012e-02, eta: 2 days, 1:08:55, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3316, top5_acc: 0.5834, loss_cls: 6.5975, loss: 6.5975 2023-12-31 13:43:03,862 - pyskl - INFO - Epoch [75][3400/3746] lr: 5.010e-02, eta: 2 days, 1:07:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5737, loss_cls: 6.6353, loss: 6.6353 2023-12-31 13:44:03,311 - pyskl - INFO - Epoch [75][3500/3746] lr: 5.007e-02, eta: 2 days, 1:06:42, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5736, loss_cls: 6.6295, loss: 6.6295 2023-12-31 13:45:02,567 - pyskl - INFO - Epoch [75][3600/3746] lr: 5.004e-02, eta: 2 days, 1:05:36, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3053, top5_acc: 0.5656, loss_cls: 6.6786, loss: 6.6786 2023-12-31 13:46:01,923 - pyskl - INFO - Epoch [75][3700/3746] lr: 5.001e-02, eta: 2 days, 1:04:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3206, top5_acc: 0.5727, loss_cls: 6.6209, loss: 6.6209 2023-12-31 13:46:31,888 - pyskl - INFO - Saving checkpoint at 75 epochs 2023-12-31 13:48:33,352 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 13:48:34,419 - pyskl - INFO - top1_acc 0.2391 top5_acc 0.4877 2023-12-31 13:48:34,419 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 13:48:34,462 - pyskl - INFO - mean_acc 0.2390 2023-12-31 13:48:34,472 - pyskl - INFO - Epoch(val) [75][309] top1_acc: 0.2391, top5_acc: 0.4877, mean_class_accuracy: 0.2390 2023-12-31 13:52:02,691 - pyskl - INFO - Epoch [76][100/3746] lr: 4.997e-02, eta: 2 days, 1:04:54, time: 2.082, data_time: 1.487, memory: 16177, top1_acc: 0.3130, top5_acc: 0.5731, loss_cls: 6.6275, loss: 6.6275 2023-12-31 13:53:02,468 - pyskl - INFO - Epoch [76][200/3746] lr: 4.994e-02, eta: 2 days, 1:03:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3316, top5_acc: 0.5952, loss_cls: 6.5199, loss: 6.5199 2023-12-31 13:54:01,909 - pyskl - INFO - Epoch [76][300/3746] lr: 4.992e-02, eta: 2 days, 1:02:42, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3244, top5_acc: 0.5750, loss_cls: 6.6136, loss: 6.6136 2023-12-31 13:55:01,368 - pyskl - INFO - Epoch [76][400/3746] lr: 4.989e-02, eta: 2 days, 1:01:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3195, top5_acc: 0.5825, loss_cls: 6.5923, loss: 6.5923 2023-12-31 13:56:00,821 - pyskl - INFO - Epoch [76][500/3746] lr: 4.986e-02, eta: 2 days, 1:00:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3325, top5_acc: 0.5894, loss_cls: 6.5335, loss: 6.5335 2023-12-31 13:57:00,419 - pyskl - INFO - Epoch [76][600/3746] lr: 4.983e-02, eta: 2 days, 0:59:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3320, top5_acc: 0.5880, loss_cls: 6.5538, loss: 6.5538 2023-12-31 13:58:00,567 - pyskl - INFO - Epoch [76][700/3746] lr: 4.980e-02, eta: 2 days, 0:58:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3256, top5_acc: 0.5839, loss_cls: 6.5809, loss: 6.5809 2023-12-31 13:59:00,798 - pyskl - INFO - Epoch [76][800/3746] lr: 4.978e-02, eta: 2 days, 0:57:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5834, loss_cls: 6.5986, loss: 6.5986 2023-12-31 14:00:00,120 - pyskl - INFO - Epoch [76][900/3746] lr: 4.975e-02, eta: 2 days, 0:56:05, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5942, loss_cls: 6.5601, loss: 6.5601 2023-12-31 14:01:00,046 - pyskl - INFO - Epoch [76][1000/3746] lr: 4.972e-02, eta: 2 days, 0:54:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3217, top5_acc: 0.5708, loss_cls: 6.6244, loss: 6.6244 2023-12-31 14:02:00,698 - pyskl - INFO - Epoch [76][1100/3746] lr: 4.969e-02, eta: 2 days, 0:53:54, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3209, top5_acc: 0.5737, loss_cls: 6.6584, loss: 6.6584 2023-12-31 14:03:00,350 - pyskl - INFO - Epoch [76][1200/3746] lr: 4.966e-02, eta: 2 days, 0:52:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3152, top5_acc: 0.5869, loss_cls: 6.6082, loss: 6.6082 2023-12-31 14:03:59,675 - pyskl - INFO - Epoch [76][1300/3746] lr: 4.964e-02, eta: 2 days, 0:51:41, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5748, loss_cls: 6.6133, loss: 6.6133 2023-12-31 14:04:59,219 - pyskl - INFO - Epoch [76][1400/3746] lr: 4.961e-02, eta: 2 days, 0:50:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3212, top5_acc: 0.5777, loss_cls: 6.6371, loss: 6.6371 2023-12-31 14:05:58,871 - pyskl - INFO - Epoch [76][1500/3746] lr: 4.958e-02, eta: 2 days, 0:49:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5756, loss_cls: 6.6193, loss: 6.6193 2023-12-31 14:06:58,219 - pyskl - INFO - Epoch [76][1600/3746] lr: 4.955e-02, eta: 2 days, 0:48:23, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5825, loss_cls: 6.6112, loss: 6.6112 2023-12-31 14:07:57,499 - pyskl - INFO - Epoch [76][1700/3746] lr: 4.953e-02, eta: 2 days, 0:47:16, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3262, top5_acc: 0.5858, loss_cls: 6.5501, loss: 6.5501 2023-12-31 14:08:56,902 - pyskl - INFO - Epoch [76][1800/3746] lr: 4.950e-02, eta: 2 days, 0:46:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5736, loss_cls: 6.6183, loss: 6.6183 2023-12-31 14:09:56,038 - pyskl - INFO - Epoch [76][1900/3746] lr: 4.947e-02, eta: 2 days, 0:45:03, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5916, loss_cls: 6.5674, loss: 6.5674 2023-12-31 14:10:55,484 - pyskl - INFO - Epoch [76][2000/3746] lr: 4.944e-02, eta: 2 days, 0:43:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3244, top5_acc: 0.5820, loss_cls: 6.5966, loss: 6.5966 2023-12-31 14:11:55,114 - pyskl - INFO - Epoch [76][2100/3746] lr: 4.941e-02, eta: 2 days, 0:42:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5764, loss_cls: 6.6154, loss: 6.6154 2023-12-31 14:12:54,458 - pyskl - INFO - Epoch [76][2200/3746] lr: 4.939e-02, eta: 2 days, 0:41:44, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3214, top5_acc: 0.5770, loss_cls: 6.6105, loss: 6.6105 2023-12-31 14:13:54,003 - pyskl - INFO - Epoch [76][2300/3746] lr: 4.936e-02, eta: 2 days, 0:40:38, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3120, top5_acc: 0.5681, loss_cls: 6.6385, loss: 6.6385 2023-12-31 14:14:53,741 - pyskl - INFO - Epoch [76][2400/3746] lr: 4.933e-02, eta: 2 days, 0:39:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5837, loss_cls: 6.5942, loss: 6.5942 2023-12-31 14:15:53,993 - pyskl - INFO - Epoch [76][2500/3746] lr: 4.930e-02, eta: 2 days, 0:38:27, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3245, top5_acc: 0.5802, loss_cls: 6.5952, loss: 6.5952 2023-12-31 14:16:53,660 - pyskl - INFO - Epoch [76][2600/3746] lr: 4.927e-02, eta: 2 days, 0:37:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3212, top5_acc: 0.5684, loss_cls: 6.6318, loss: 6.6318 2023-12-31 14:17:53,560 - pyskl - INFO - Epoch [76][2700/3746] lr: 4.925e-02, eta: 2 days, 0:36:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3205, top5_acc: 0.5773, loss_cls: 6.6170, loss: 6.6170 2023-12-31 14:18:53,559 - pyskl - INFO - Epoch [76][2800/3746] lr: 4.922e-02, eta: 2 days, 0:35:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3186, top5_acc: 0.5681, loss_cls: 6.6362, loss: 6.6362 2023-12-31 14:19:54,066 - pyskl - INFO - Epoch [76][2900/3746] lr: 4.919e-02, eta: 2 days, 0:34:04, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5772, loss_cls: 6.6234, loss: 6.6234 2023-12-31 14:20:53,286 - pyskl - INFO - Epoch [76][3000/3746] lr: 4.916e-02, eta: 2 days, 0:32:58, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3256, top5_acc: 0.5859, loss_cls: 6.5958, loss: 6.5958 2023-12-31 14:21:52,763 - pyskl - INFO - Epoch [76][3100/3746] lr: 4.913e-02, eta: 2 days, 0:31:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3200, top5_acc: 0.5731, loss_cls: 6.6449, loss: 6.6449 2023-12-31 14:22:52,631 - pyskl - INFO - Epoch [76][3200/3746] lr: 4.911e-02, eta: 2 days, 0:30:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3270, top5_acc: 0.5861, loss_cls: 6.5921, loss: 6.5921 2023-12-31 14:23:51,934 - pyskl - INFO - Epoch [76][3300/3746] lr: 4.908e-02, eta: 2 days, 0:29:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5767, loss_cls: 6.6179, loss: 6.6179 2023-12-31 14:24:51,572 - pyskl - INFO - Epoch [76][3400/3746] lr: 4.905e-02, eta: 2 days, 0:28:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3131, top5_acc: 0.5659, loss_cls: 6.6603, loss: 6.6603 2023-12-31 14:25:51,346 - pyskl - INFO - Epoch [76][3500/3746] lr: 4.902e-02, eta: 2 days, 0:27:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3208, top5_acc: 0.5748, loss_cls: 6.6229, loss: 6.6229 2023-12-31 14:26:50,824 - pyskl - INFO - Epoch [76][3600/3746] lr: 4.899e-02, eta: 2 days, 0:26:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3205, top5_acc: 0.5752, loss_cls: 6.6332, loss: 6.6332 2023-12-31 14:27:50,473 - pyskl - INFO - Epoch [76][3700/3746] lr: 4.897e-02, eta: 2 days, 0:25:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5814, loss_cls: 6.6140, loss: 6.6140 2023-12-31 14:28:20,586 - pyskl - INFO - Saving checkpoint at 76 epochs 2023-12-31 14:30:22,320 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 14:30:23,135 - pyskl - INFO - top1_acc 0.2484 top5_acc 0.4713 2023-12-31 14:30:23,135 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 14:30:23,169 - pyskl - INFO - mean_acc 0.2481 2023-12-31 14:30:23,177 - pyskl - INFO - Epoch(val) [76][309] top1_acc: 0.2484, top5_acc: 0.4713, mean_class_accuracy: 0.2481 2023-12-31 14:33:49,733 - pyskl - INFO - Epoch [77][100/3746] lr: 4.893e-02, eta: 2 days, 0:25:35, time: 2.065, data_time: 1.471, memory: 16177, top1_acc: 0.3361, top5_acc: 0.5914, loss_cls: 6.5440, loss: 6.5440 2023-12-31 14:34:49,283 - pyskl - INFO - Epoch [77][200/3746] lr: 4.890e-02, eta: 2 days, 0:24:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3347, top5_acc: 0.5962, loss_cls: 6.5302, loss: 6.5302 2023-12-31 14:35:48,822 - pyskl - INFO - Epoch [77][300/3746] lr: 4.887e-02, eta: 2 days, 0:23:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3328, top5_acc: 0.5947, loss_cls: 6.5521, loss: 6.5521 2023-12-31 14:36:48,570 - pyskl - INFO - Epoch [77][400/3746] lr: 4.884e-02, eta: 2 days, 0:22:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3281, top5_acc: 0.5884, loss_cls: 6.5568, loss: 6.5568 2023-12-31 14:37:48,045 - pyskl - INFO - Epoch [77][500/3746] lr: 4.881e-02, eta: 2 days, 0:21:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5723, loss_cls: 6.6071, loss: 6.6071 2023-12-31 14:38:47,840 - pyskl - INFO - Epoch [77][600/3746] lr: 4.879e-02, eta: 2 days, 0:20:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3220, top5_acc: 0.5875, loss_cls: 6.5592, loss: 6.5592 2023-12-31 14:39:47,566 - pyskl - INFO - Epoch [77][700/3746] lr: 4.876e-02, eta: 2 days, 0:18:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3264, top5_acc: 0.5784, loss_cls: 6.6034, loss: 6.6034 2023-12-31 14:40:47,914 - pyskl - INFO - Epoch [77][800/3746] lr: 4.873e-02, eta: 2 days, 0:17:53, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3320, top5_acc: 0.5866, loss_cls: 6.5630, loss: 6.5630 2023-12-31 14:41:47,796 - pyskl - INFO - Epoch [77][900/3746] lr: 4.870e-02, eta: 2 days, 0:16:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5883, loss_cls: 6.5704, loss: 6.5704 2023-12-31 14:42:47,673 - pyskl - INFO - Epoch [77][1000/3746] lr: 4.867e-02, eta: 2 days, 0:15:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3261, top5_acc: 0.5739, loss_cls: 6.5898, loss: 6.5898 2023-12-31 14:43:48,061 - pyskl - INFO - Epoch [77][1100/3746] lr: 4.865e-02, eta: 2 days, 0:14:36, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5775, loss_cls: 6.6244, loss: 6.6244 2023-12-31 14:44:48,161 - pyskl - INFO - Epoch [77][1200/3746] lr: 4.862e-02, eta: 2 days, 0:13:30, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3158, top5_acc: 0.5745, loss_cls: 6.6120, loss: 6.6120 2023-12-31 14:45:47,965 - pyskl - INFO - Epoch [77][1300/3746] lr: 4.859e-02, eta: 2 days, 0:12:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5798, loss_cls: 6.5978, loss: 6.5978 2023-12-31 14:46:47,472 - pyskl - INFO - Epoch [77][1400/3746] lr: 4.856e-02, eta: 2 days, 0:11:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3248, top5_acc: 0.5769, loss_cls: 6.6227, loss: 6.6227 2023-12-31 14:47:47,145 - pyskl - INFO - Epoch [77][1500/3746] lr: 4.853e-02, eta: 2 days, 0:10:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3159, top5_acc: 0.5697, loss_cls: 6.6587, loss: 6.6587 2023-12-31 14:48:46,662 - pyskl - INFO - Epoch [77][1600/3746] lr: 4.851e-02, eta: 2 days, 0:09:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3250, top5_acc: 0.5831, loss_cls: 6.5897, loss: 6.5897 2023-12-31 14:49:46,287 - pyskl - INFO - Epoch [77][1700/3746] lr: 4.848e-02, eta: 2 days, 0:08:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3273, top5_acc: 0.5895, loss_cls: 6.5825, loss: 6.5825 2023-12-31 14:50:45,830 - pyskl - INFO - Epoch [77][1800/3746] lr: 4.845e-02, eta: 2 days, 0:06:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5864, loss_cls: 6.5643, loss: 6.5643 2023-12-31 14:51:45,111 - pyskl - INFO - Epoch [77][1900/3746] lr: 4.842e-02, eta: 2 days, 0:05:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5678, loss_cls: 6.6622, loss: 6.6622 2023-12-31 14:52:44,768 - pyskl - INFO - Epoch [77][2000/3746] lr: 4.839e-02, eta: 2 days, 0:04:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3317, top5_acc: 0.5903, loss_cls: 6.5616, loss: 6.5616 2023-12-31 14:53:45,196 - pyskl - INFO - Epoch [77][2100/3746] lr: 4.837e-02, eta: 2 days, 0:03:36, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3211, top5_acc: 0.5772, loss_cls: 6.6191, loss: 6.6191 2023-12-31 14:54:45,634 - pyskl - INFO - Epoch [77][2200/3746] lr: 4.834e-02, eta: 2 days, 0:02:31, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3252, top5_acc: 0.5848, loss_cls: 6.5811, loss: 6.5811 2023-12-31 14:55:45,574 - pyskl - INFO - Epoch [77][2300/3746] lr: 4.831e-02, eta: 2 days, 0:01:25, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5769, loss_cls: 6.6147, loss: 6.6147 2023-12-31 14:56:46,144 - pyskl - INFO - Epoch [77][2400/3746] lr: 4.828e-02, eta: 2 days, 0:00:20, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3234, top5_acc: 0.5798, loss_cls: 6.6054, loss: 6.6054 2023-12-31 14:57:45,576 - pyskl - INFO - Epoch [77][2500/3746] lr: 4.825e-02, eta: 1 day, 23:59:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3278, top5_acc: 0.5853, loss_cls: 6.5574, loss: 6.5574 2023-12-31 14:58:44,782 - pyskl - INFO - Epoch [77][2600/3746] lr: 4.823e-02, eta: 1 day, 23:58:08, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3236, top5_acc: 0.5816, loss_cls: 6.6175, loss: 6.6175 2023-12-31 14:59:44,196 - pyskl - INFO - Epoch [77][2700/3746] lr: 4.820e-02, eta: 1 day, 23:57:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5797, loss_cls: 6.6005, loss: 6.6005 2023-12-31 15:00:43,966 - pyskl - INFO - Epoch [77][2800/3746] lr: 4.817e-02, eta: 1 day, 23:55:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3337, top5_acc: 0.5914, loss_cls: 6.5535, loss: 6.5535 2023-12-31 15:01:44,398 - pyskl - INFO - Epoch [77][2900/3746] lr: 4.814e-02, eta: 1 day, 23:54:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3156, top5_acc: 0.5695, loss_cls: 6.6506, loss: 6.6506 2023-12-31 15:02:43,981 - pyskl - INFO - Epoch [77][3000/3746] lr: 4.811e-02, eta: 1 day, 23:53:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3267, top5_acc: 0.5870, loss_cls: 6.5692, loss: 6.5692 2023-12-31 15:03:43,405 - pyskl - INFO - Epoch [77][3100/3746] lr: 4.809e-02, eta: 1 day, 23:52:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5752, loss_cls: 6.6447, loss: 6.6447 2023-12-31 15:04:43,328 - pyskl - INFO - Epoch [77][3200/3746] lr: 4.806e-02, eta: 1 day, 23:51:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3166, top5_acc: 0.5730, loss_cls: 6.6268, loss: 6.6268 2023-12-31 15:05:43,018 - pyskl - INFO - Epoch [77][3300/3746] lr: 4.803e-02, eta: 1 day, 23:50:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3173, top5_acc: 0.5775, loss_cls: 6.6103, loss: 6.6103 2023-12-31 15:06:42,455 - pyskl - INFO - Epoch [77][3400/3746] lr: 4.800e-02, eta: 1 day, 23:49:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3197, top5_acc: 0.5725, loss_cls: 6.6311, loss: 6.6311 2023-12-31 15:07:41,994 - pyskl - INFO - Epoch [77][3500/3746] lr: 4.798e-02, eta: 1 day, 23:48:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3166, top5_acc: 0.5880, loss_cls: 6.6110, loss: 6.6110 2023-12-31 15:08:41,608 - pyskl - INFO - Epoch [77][3600/3746] lr: 4.795e-02, eta: 1 day, 23:47:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5719, loss_cls: 6.6220, loss: 6.6220 2023-12-31 15:09:41,129 - pyskl - INFO - Epoch [77][3700/3746] lr: 4.792e-02, eta: 1 day, 23:46:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3287, top5_acc: 0.5903, loss_cls: 6.5636, loss: 6.5636 2023-12-31 15:10:10,981 - pyskl - INFO - Saving checkpoint at 77 epochs 2023-12-31 15:12:14,170 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-31 15:12:15,144 - pyskl - INFO - top1_acc 0.2484 top5_acc 0.4969 2023-12-31 15:12:15,144 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-31 15:12:15,205 - pyskl - INFO - mean_acc 0.2483 2023-12-31 15:12:15,228 - pyskl - INFO - Epoch(val) [77][309] top1_acc: 0.2484, top5_acc: 0.4969, mean_class_accuracy: 0.2483 2023-12-31 15:15:45,202 - pyskl - INFO - Epoch [78][100/3746] lr: 4.788e-02, eta: 1 day, 23:46:22, time: 2.100, data_time: 1.502, memory: 16177, top1_acc: 0.3287, top5_acc: 0.5920, loss_cls: 6.5583, loss: 6.5583 2023-12-31 15:16:44,317 - pyskl - INFO - Epoch [78][200/3746] lr: 4.785e-02, eta: 1 day, 23:45:16, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3262, top5_acc: 0.5977, loss_cls: 6.5181, loss: 6.5181 2023-12-31 15:17:43,598 - pyskl - INFO - Epoch [78][300/3746] lr: 4.782e-02, eta: 1 day, 23:44:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3291, top5_acc: 0.5922, loss_cls: 6.5457, loss: 6.5457 2023-12-31 15:18:42,887 - pyskl - INFO - Epoch [78][400/3746] lr: 4.779e-02, eta: 1 day, 23:43:03, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5700, loss_cls: 6.6353, loss: 6.6353 2023-12-31 15:19:42,369 - pyskl - INFO - Epoch [78][500/3746] lr: 4.777e-02, eta: 1 day, 23:41:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3200, top5_acc: 0.5780, loss_cls: 6.5956, loss: 6.5956 2023-12-31 15:20:41,635 - pyskl - INFO - Epoch [78][600/3746] lr: 4.774e-02, eta: 1 day, 23:40:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5891, loss_cls: 6.5641, loss: 6.5641 2023-12-31 15:21:41,002 - pyskl - INFO - Epoch [78][700/3746] lr: 4.771e-02, eta: 1 day, 23:39:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3319, top5_acc: 0.5875, loss_cls: 6.5497, loss: 6.5497 2023-12-31 15:22:40,872 - pyskl - INFO - Epoch [78][800/3746] lr: 4.768e-02, eta: 1 day, 23:38:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3294, top5_acc: 0.5978, loss_cls: 6.5376, loss: 6.5376 2023-12-31 15:23:40,974 - pyskl - INFO - Epoch [78][900/3746] lr: 4.766e-02, eta: 1 day, 23:37:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3208, top5_acc: 0.5795, loss_cls: 6.6040, loss: 6.6040 2023-12-31 15:24:40,529 - pyskl - INFO - Epoch [78][1000/3746] lr: 4.763e-02, eta: 1 day, 23:36:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3220, top5_acc: 0.5747, loss_cls: 6.5910, loss: 6.5910 2023-12-31 15:25:40,765 - pyskl - INFO - Epoch [78][1100/3746] lr: 4.760e-02, eta: 1 day, 23:35:22, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3311, top5_acc: 0.5925, loss_cls: 6.5768, loss: 6.5768 2023-12-31 15:26:40,798 - pyskl - INFO - Epoch [78][1200/3746] lr: 4.757e-02, eta: 1 day, 23:34:16, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3316, top5_acc: 0.5805, loss_cls: 6.5750, loss: 6.5750 2023-12-31 15:27:40,331 - pyskl - INFO - Epoch [78][1300/3746] lr: 4.754e-02, eta: 1 day, 23:33:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5764, loss_cls: 6.6292, loss: 6.6292 2023-12-31 15:28:40,139 - pyskl - INFO - Epoch [78][1400/3746] lr: 4.752e-02, eta: 1 day, 23:32:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3325, top5_acc: 0.5873, loss_cls: 6.5471, loss: 6.5471 2023-12-31 15:29:39,557 - pyskl - INFO - Epoch [78][1500/3746] lr: 4.749e-02, eta: 1 day, 23:30:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3309, top5_acc: 0.5853, loss_cls: 6.5783, loss: 6.5783 2023-12-31 15:30:39,325 - pyskl - INFO - Epoch [78][1600/3746] lr: 4.746e-02, eta: 1 day, 23:29:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3377, top5_acc: 0.5917, loss_cls: 6.5284, loss: 6.5284 2023-12-31 15:31:38,892 - pyskl - INFO - Epoch [78][1700/3746] lr: 4.743e-02, eta: 1 day, 23:28:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3320, top5_acc: 0.5870, loss_cls: 6.5666, loss: 6.5666 2023-12-31 15:32:38,447 - pyskl - INFO - Epoch [78][1800/3746] lr: 4.740e-02, eta: 1 day, 23:27:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3292, top5_acc: 0.5789, loss_cls: 6.6078, loss: 6.6078 2023-12-31 15:33:37,782 - pyskl - INFO - Epoch [78][1900/3746] lr: 4.738e-02, eta: 1 day, 23:26:34, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3156, top5_acc: 0.5775, loss_cls: 6.6362, loss: 6.6362 2023-12-31 15:34:37,397 - pyskl - INFO - Epoch [78][2000/3746] lr: 4.735e-02, eta: 1 day, 23:25:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3205, top5_acc: 0.5866, loss_cls: 6.6052, loss: 6.6052 2023-12-31 15:35:36,974 - pyskl - INFO - Epoch [78][2100/3746] lr: 4.732e-02, eta: 1 day, 23:24:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3120, top5_acc: 0.5858, loss_cls: 6.5925, loss: 6.5925 2023-12-31 15:36:36,479 - pyskl - INFO - Epoch [78][2200/3746] lr: 4.729e-02, eta: 1 day, 23:23:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3237, top5_acc: 0.5823, loss_cls: 6.5633, loss: 6.5633 2023-12-31 15:37:35,745 - pyskl - INFO - Epoch [78][2300/3746] lr: 4.726e-02, eta: 1 day, 23:22:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3239, top5_acc: 0.5814, loss_cls: 6.5925, loss: 6.5925 2023-12-31 15:38:35,406 - pyskl - INFO - Epoch [78][2400/3746] lr: 4.724e-02, eta: 1 day, 23:21:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3217, top5_acc: 0.5845, loss_cls: 6.6121, loss: 6.6121 2023-12-31 15:39:35,722 - pyskl - INFO - Epoch [78][2500/3746] lr: 4.721e-02, eta: 1 day, 23:19:58, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5803, loss_cls: 6.5976, loss: 6.5976 2023-12-31 15:40:36,263 - pyskl - INFO - Epoch [78][2600/3746] lr: 4.718e-02, eta: 1 day, 23:18:53, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3197, top5_acc: 0.5869, loss_cls: 6.5845, loss: 6.5845 2023-12-31 15:41:36,287 - pyskl - INFO - Epoch [78][2700/3746] lr: 4.715e-02, eta: 1 day, 23:17:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3331, top5_acc: 0.5858, loss_cls: 6.5532, loss: 6.5532 2023-12-31 15:42:35,804 - pyskl - INFO - Epoch [78][2800/3746] lr: 4.712e-02, eta: 1 day, 23:16:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3253, top5_acc: 0.5923, loss_cls: 6.5522, loss: 6.5522 2023-12-31 15:43:36,200 - pyskl - INFO - Epoch [78][2900/3746] lr: 4.710e-02, eta: 1 day, 23:15:37, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3133, top5_acc: 0.5619, loss_cls: 6.6823, loss: 6.6823 2023-12-31 15:44:35,833 - pyskl - INFO - Epoch [78][3000/3746] lr: 4.707e-02, eta: 1 day, 23:14:31, time: 0.596, data_time: 0.001, memory: 16177, top1_acc: 0.3344, top5_acc: 0.5828, loss_cls: 6.5709, loss: 6.5709 2023-12-31 15:45:35,225 - pyskl - INFO - Epoch [78][3100/3746] lr: 4.704e-02, eta: 1 day, 23:13:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3302, top5_acc: 0.5852, loss_cls: 6.6115, loss: 6.6115 2023-12-31 15:46:34,932 - pyskl - INFO - Epoch [78][3200/3746] lr: 4.701e-02, eta: 1 day, 23:12:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3236, top5_acc: 0.5763, loss_cls: 6.5955, loss: 6.5955 2023-12-31 15:47:34,350 - pyskl - INFO - Epoch [78][3300/3746] lr: 4.699e-02, eta: 1 day, 23:11:13, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3273, top5_acc: 0.5825, loss_cls: 6.5713, loss: 6.5713 2023-12-31 15:48:33,975 - pyskl - INFO - Epoch [78][3400/3746] lr: 4.696e-02, eta: 1 day, 23:10:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3152, top5_acc: 0.5802, loss_cls: 6.6390, loss: 6.6390 2023-12-31 15:49:33,253 - pyskl - INFO - Epoch [78][3500/3746] lr: 4.693e-02, eta: 1 day, 23:09:01, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3150, top5_acc: 0.5811, loss_cls: 6.6045, loss: 6.6045 2023-12-31 15:50:32,763 - pyskl - INFO - Epoch [78][3600/3746] lr: 4.690e-02, eta: 1 day, 23:07:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3197, top5_acc: 0.5791, loss_cls: 6.6086, loss: 6.6086 2023-12-31 15:51:32,201 - pyskl - INFO - Epoch [78][3700/3746] lr: 4.687e-02, eta: 1 day, 23:06:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3369, top5_acc: 0.5867, loss_cls: 6.5665, loss: 6.5665 2023-12-31 15:52:01,896 - pyskl - INFO - Saving checkpoint at 78 epochs