2023-12-24 14:28:45,019 - 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+ ------------------------------------------------------------ 2023-12-24 14:28:45,761 - pyskl - INFO - Config: modality = 'k' graph = 'coco_new' work_dir = './work_dirs/test_prototype/k400/k_2' 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_11', 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=['k']), 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=['k']), 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=['k']), 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=['k']), 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=['k']), 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=['k']), 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) 2023-12-24 14:28:45,762 - pyskl - INFO - Set random seed to 1384919895, deterministic: False 2023-12-24 14:28:54,998 - pyskl - INFO - 239737 videos remain after valid thresholding 2023-12-24 14:29:09,498 - pyskl - INFO - 19743 videos remain after valid thresholding 2023-12-24 14:29:09,499 - pyskl - INFO - Start running, host: hao.wang@gdp, work_dir: /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2 2023-12-24 14:29:09,511 - 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 -------------------- 2023-12-24 14:29:09,524 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2023-12-24 14:29:09,529 - pyskl - INFO - Checkpoints will be saved to /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2 by HardDiskBackend. 2023-12-24 14:32:28,835 - pyskl - INFO - Epoch [1][100/3746] lr: 1.000e-01, eta: 12 days, 23:01:03, time: 1.993, data_time: 1.371, memory: 16177, top1_acc: 0.0069, top5_acc: 0.0381, loss_cls: 7.0600, loss: 7.0600 2023-12-24 14:33:29,109 - pyskl - INFO - Epoch [1][200/3746] lr: 1.000e-01, eta: 8 days, 10:30:07, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.0109, top5_acc: 0.0497, loss_cls: 6.7642, loss: 6.7642 2023-12-24 14:34:30,190 - pyskl - INFO - Epoch [1][300/3746] lr: 1.000e-01, eta: 6 days, 22:44:15, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.0142, top5_acc: 0.0673, loss_cls: 6.6346, loss: 6.6346 2023-12-24 14:35:31,323 - pyskl - INFO - Epoch [1][400/3746] lr: 1.000e-01, eta: 6 days, 4:52:05, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.0211, top5_acc: 0.0828, loss_cls: 6.5476, loss: 6.5476 2023-12-24 14:36:32,298 - pyskl - INFO - Epoch [1][500/3746] lr: 1.000e-01, eta: 5 days, 18:05:24, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.0255, top5_acc: 0.1000, loss_cls: 6.4658, loss: 6.4658 2023-12-24 14:37:33,142 - pyskl - INFO - Epoch [1][600/3746] lr: 1.000e-01, eta: 5 days, 10:51:55, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.0288, top5_acc: 0.1108, loss_cls: 6.4853, loss: 6.4853 2023-12-24 14:38:33,514 - pyskl - INFO - Epoch [1][700/3746] lr: 1.000e-01, eta: 5 days, 5:35:41, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.0286, top5_acc: 0.1200, loss_cls: 6.5812, loss: 6.5812 2023-12-24 14:39:33,948 - pyskl - INFO - Epoch [1][800/3746] lr: 1.000e-01, eta: 5 days, 1:38:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.0352, top5_acc: 0.1220, loss_cls: 6.6156, loss: 6.6156 2023-12-24 14:40:34,023 - pyskl - INFO - Epoch [1][900/3746] lr: 1.000e-01, eta: 4 days, 22:30:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.0380, top5_acc: 0.1256, loss_cls: 6.6398, loss: 6.6398 2023-12-24 14:41:34,343 - pyskl - INFO - Epoch [1][1000/3746] lr: 1.000e-01, eta: 4 days, 20:02:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.0384, top5_acc: 0.1348, loss_cls: 6.5537, loss: 6.5537 2023-12-24 14:42:34,216 - pyskl - INFO - Epoch [1][1100/3746] lr: 1.000e-01, eta: 4 days, 17:57:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.0406, top5_acc: 0.1416, loss_cls: 6.6859, loss: 6.6859 2023-12-24 14:43:34,300 - pyskl - INFO - Epoch [1][1200/3746] lr: 1.000e-01, eta: 4 days, 16:14:13, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.0402, top5_acc: 0.1469, loss_cls: 6.7215, loss: 6.7215 2023-12-24 14:44:34,386 - pyskl - INFO - Epoch [1][1300/3746] lr: 1.000e-01, eta: 4 days, 14:46:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.0419, top5_acc: 0.1512, loss_cls: 6.6169, loss: 6.6169 2023-12-24 14:45:33,930 - pyskl - INFO - Epoch [1][1400/3746] lr: 1.000e-01, eta: 4 days, 13:28:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.0461, top5_acc: 0.1573, loss_cls: 6.5894, loss: 6.5894 2023-12-24 14:46:33,702 - pyskl - INFO - Epoch [1][1500/3746] lr: 1.000e-01, eta: 4 days, 12:21:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.0500, top5_acc: 0.1695, loss_cls: 6.6356, loss: 6.6356 2023-12-24 14:47:33,441 - pyskl - INFO - Epoch [1][1600/3746] lr: 1.000e-01, eta: 4 days, 11:22:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.0544, top5_acc: 0.1766, loss_cls: 6.5929, loss: 6.5929 2023-12-24 14:48:33,198 - pyskl - INFO - Epoch [1][1700/3746] lr: 1.000e-01, eta: 4 days, 10:30:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.0527, top5_acc: 0.1752, loss_cls: 6.5783, loss: 6.5783 2023-12-24 14:49:32,579 - pyskl - INFO - Epoch [1][1800/3746] lr: 1.000e-01, eta: 4 days, 9:42:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.0563, top5_acc: 0.1773, loss_cls: 6.5602, loss: 6.5602 2023-12-24 14:50:32,221 - pyskl - INFO - Epoch [1][1900/3746] lr: 1.000e-01, eta: 4 days, 9:00:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.0619, top5_acc: 0.1872, loss_cls: 6.5199, loss: 6.5199 2023-12-24 14:51:32,066 - pyskl - INFO - Epoch [1][2000/3746] lr: 1.000e-01, eta: 4 days, 8:23:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.0608, top5_acc: 0.1905, loss_cls: 6.5227, loss: 6.5227 2023-12-24 14:52:31,854 - pyskl - INFO - Epoch [1][2100/3746] lr: 1.000e-01, eta: 4 days, 7:50:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.0623, top5_acc: 0.2027, loss_cls: 6.4645, loss: 6.4645 2023-12-24 14:53:31,510 - pyskl - INFO - Epoch [1][2200/3746] lr: 1.000e-01, eta: 4 days, 7:18:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.0633, top5_acc: 0.2047, loss_cls: 6.4153, loss: 6.4153 2023-12-24 14:54:31,299 - pyskl - INFO - Epoch [1][2300/3746] lr: 1.000e-01, eta: 4 days, 6:50:44, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.0700, top5_acc: 0.2092, loss_cls: 6.3910, loss: 6.3910 2023-12-24 14:55:31,288 - pyskl - INFO - Epoch [1][2400/3746] lr: 1.000e-01, eta: 4 days, 6:25:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.0725, top5_acc: 0.2152, loss_cls: 6.3493, loss: 6.3493 2023-12-24 14:56:31,008 - pyskl - INFO - Epoch [1][2500/3746] lr: 1.000e-01, eta: 4 days, 6:01:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.0705, top5_acc: 0.2248, loss_cls: 6.3279, loss: 6.3279 2023-12-24 14:57:30,750 - pyskl - INFO - Epoch [1][2600/3746] lr: 9.999e-02, eta: 4 days, 5:39:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.0858, top5_acc: 0.2330, loss_cls: 6.2340, loss: 6.2340 2023-12-24 14:58:30,677 - pyskl - INFO - Epoch [1][2700/3746] lr: 9.999e-02, eta: 4 days, 5:19:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.0759, top5_acc: 0.2339, loss_cls: 6.2536, loss: 6.2536 2023-12-24 14:59:30,728 - pyskl - INFO - Epoch [1][2800/3746] lr: 9.999e-02, eta: 4 days, 5:00:46, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.0786, top5_acc: 0.2300, loss_cls: 6.2526, loss: 6.2526 2023-12-24 15:00:31,114 - pyskl - INFO - Epoch [1][2900/3746] lr: 9.999e-02, eta: 4 days, 4:44:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.0786, top5_acc: 0.2297, loss_cls: 6.2211, loss: 6.2211 2023-12-24 15:01:31,779 - pyskl - INFO - Epoch [1][3000/3746] lr: 9.999e-02, eta: 4 days, 4:30:33, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.0797, top5_acc: 0.2319, loss_cls: 6.2082, loss: 6.2082 2023-12-24 15:02:32,520 - pyskl - INFO - Epoch [1][3100/3746] lr: 9.999e-02, eta: 4 days, 4:17:27, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.0838, top5_acc: 0.2412, loss_cls: 6.1640, loss: 6.1640 2023-12-24 15:03:33,150 - pyskl - INFO - Epoch [1][3200/3746] lr: 9.999e-02, eta: 4 days, 4:04:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.0844, top5_acc: 0.2484, loss_cls: 6.1378, loss: 6.1378 2023-12-24 15:04:33,630 - pyskl - INFO - Epoch [1][3300/3746] lr: 9.999e-02, eta: 4 days, 3:52:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.0891, top5_acc: 0.2541, loss_cls: 6.0870, loss: 6.0870 2023-12-24 15:05:34,636 - pyskl - INFO - Epoch [1][3400/3746] lr: 9.999e-02, eta: 4 days, 3:42:07, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.0847, top5_acc: 0.2611, loss_cls: 6.0669, loss: 6.0669 2023-12-24 15:06:35,275 - pyskl - INFO - Epoch [1][3500/3746] lr: 9.999e-02, eta: 4 days, 3:31:24, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.0989, top5_acc: 0.2689, loss_cls: 6.0383, loss: 6.0383 2023-12-24 15:07:36,011 - pyskl - INFO - Epoch [1][3600/3746] lr: 9.999e-02, eta: 4 days, 3:21:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.0988, top5_acc: 0.2730, loss_cls: 5.9984, loss: 5.9984 2023-12-24 15:08:36,214 - pyskl - INFO - Epoch [1][3700/3746] lr: 9.999e-02, eta: 4 days, 3:10:41, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.1027, top5_acc: 0.2755, loss_cls: 5.9956, loss: 5.9956 2023-12-24 15:09:06,204 - pyskl - INFO - Saving checkpoint at 1 epochs 2023-12-24 15:11:10,210 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 15:11:11,310 - pyskl - INFO - top1_acc 0.0533 top5_acc 0.1777 2023-12-24 15:11:11,310 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 15:11:11,353 - pyskl - INFO - mean_acc 0.0534 2023-12-24 15:11:11,908 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2023-12-24 15:11:11,909 - pyskl - INFO - Best top1_acc is 0.0533 at 1 epoch. 2023-12-24 15:11:11,924 - pyskl - INFO - Epoch(val) [1][309] top1_acc: 0.0533, top5_acc: 0.1777, mean_class_accuracy: 0.0534 2023-12-24 15:14:25,809 - pyskl - INFO - Epoch [2][100/3746] lr: 9.999e-02, eta: 4 days, 7:12:09, time: 1.939, data_time: 1.341, memory: 16177, top1_acc: 0.1131, top5_acc: 0.2892, loss_cls: 5.9354, loss: 5.9354 2023-12-24 15:15:25,538 - pyskl - INFO - Epoch [2][200/3746] lr: 9.999e-02, eta: 4 days, 6:54:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1116, top5_acc: 0.2797, loss_cls: 5.9170, loss: 5.9170 2023-12-24 15:16:26,073 - pyskl - INFO - Epoch [2][300/3746] lr: 9.999e-02, eta: 4 days, 6:40:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.1120, top5_acc: 0.2900, loss_cls: 5.8869, loss: 5.8869 2023-12-24 15:17:26,471 - pyskl - INFO - Epoch [2][400/3746] lr: 9.999e-02, eta: 4 days, 6:26:04, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.1087, top5_acc: 0.2839, loss_cls: 5.9184, loss: 5.9184 2023-12-24 15:18:26,650 - pyskl - INFO - Epoch [2][500/3746] lr: 9.999e-02, eta: 4 days, 6:11:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.1125, top5_acc: 0.2938, loss_cls: 5.8604, loss: 5.8604 2023-12-24 15:19:26,611 - pyskl - INFO - Epoch [2][600/3746] lr: 9.999e-02, eta: 4 days, 5:58:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.1113, top5_acc: 0.2948, loss_cls: 5.8289, loss: 5.8289 2023-12-24 15:20:26,503 - pyskl - INFO - Epoch [2][700/3746] lr: 9.998e-02, eta: 4 days, 5:44:28, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1095, top5_acc: 0.2892, loss_cls: 5.8702, loss: 5.8702 2023-12-24 15:21:26,379 - pyskl - INFO - Epoch [2][800/3746] lr: 9.998e-02, eta: 4 days, 5:31:28, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1127, top5_acc: 0.2947, loss_cls: 5.8456, loss: 5.8456 2023-12-24 15:22:26,056 - pyskl - INFO - Epoch [2][900/3746] lr: 9.998e-02, eta: 4 days, 5:18:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1136, top5_acc: 0.3028, loss_cls: 5.7928, loss: 5.7928 2023-12-24 15:23:25,667 - pyskl - INFO - Epoch [2][1000/3746] lr: 9.998e-02, eta: 4 days, 5:06:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.1205, top5_acc: 0.3027, loss_cls: 5.7847, loss: 5.7847 2023-12-24 15:24:25,416 - pyskl - INFO - Epoch [2][1100/3746] lr: 9.998e-02, eta: 4 days, 4:54:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1075, top5_acc: 0.3038, loss_cls: 5.7692, loss: 5.7692 2023-12-24 15:25:25,234 - pyskl - INFO - Epoch [2][1200/3746] lr: 9.998e-02, eta: 4 days, 4:43:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1264, top5_acc: 0.3141, loss_cls: 5.7203, loss: 5.7203 2023-12-24 15:26:25,144 - pyskl - INFO - Epoch [2][1300/3746] lr: 9.998e-02, eta: 4 days, 4:32:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1202, top5_acc: 0.3125, loss_cls: 5.7376, loss: 5.7376 2023-12-24 15:27:24,979 - pyskl - INFO - Epoch [2][1400/3746] lr: 9.998e-02, eta: 4 days, 4:22:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1153, top5_acc: 0.3152, loss_cls: 5.7190, loss: 5.7190 2023-12-24 15:28:24,927 - pyskl - INFO - Epoch [2][1500/3746] lr: 9.998e-02, eta: 4 days, 4:12:13, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1348, top5_acc: 0.3241, loss_cls: 5.6852, loss: 5.6852 2023-12-24 15:29:24,709 - pyskl - INFO - Epoch [2][1600/3746] lr: 9.998e-02, eta: 4 days, 4:02:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1270, top5_acc: 0.3237, loss_cls: 5.6844, loss: 5.6844 2023-12-24 15:30:24,410 - pyskl - INFO - Epoch [2][1700/3746] lr: 9.998e-02, eta: 4 days, 3:52:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1242, top5_acc: 0.3192, loss_cls: 5.7020, loss: 5.7020 2023-12-24 15:31:24,304 - pyskl - INFO - Epoch [2][1800/3746] lr: 9.998e-02, eta: 4 days, 3:43:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1333, top5_acc: 0.3370, loss_cls: 5.5837, loss: 5.5837 2023-12-24 15:32:24,292 - pyskl - INFO - Epoch [2][1900/3746] lr: 9.998e-02, eta: 4 days, 3:35:17, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.1289, top5_acc: 0.3223, loss_cls: 5.6531, loss: 5.6531 2023-12-24 15:33:24,110 - pyskl - INFO - Epoch [2][2000/3746] lr: 9.997e-02, eta: 4 days, 3:26:44, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1417, top5_acc: 0.3463, loss_cls: 5.5658, loss: 5.5658 2023-12-24 15:34:23,936 - pyskl - INFO - Epoch [2][2100/3746] lr: 9.997e-02, eta: 4 days, 3:18:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1303, top5_acc: 0.3262, loss_cls: 5.6071, loss: 5.6071 2023-12-24 15:35:23,854 - pyskl - INFO - Epoch [2][2200/3746] lr: 9.997e-02, eta: 4 days, 3:10:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1333, top5_acc: 0.3398, loss_cls: 5.5790, loss: 5.5790 2023-12-24 15:36:23,664 - pyskl - INFO - Epoch [2][2300/3746] lr: 9.997e-02, eta: 4 days, 3:02:44, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1306, top5_acc: 0.3312, loss_cls: 5.5957, loss: 5.5957 2023-12-24 15:37:23,493 - pyskl - INFO - Epoch [2][2400/3746] lr: 9.997e-02, eta: 4 days, 2:55:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1303, top5_acc: 0.3322, loss_cls: 5.6100, loss: 5.6100 2023-12-24 15:38:23,339 - pyskl - INFO - Epoch [2][2500/3746] lr: 9.997e-02, eta: 4 days, 2:47:49, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1367, top5_acc: 0.3416, loss_cls: 5.5342, loss: 5.5342 2023-12-24 15:39:22,995 - pyskl - INFO - Epoch [2][2600/3746] lr: 9.997e-02, eta: 4 days, 2:40:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1523, top5_acc: 0.3552, loss_cls: 5.4943, loss: 5.4943 2023-12-24 15:40:22,874 - pyskl - INFO - Epoch [2][2700/3746] lr: 9.997e-02, eta: 4 days, 2:33:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1330, top5_acc: 0.3355, loss_cls: 5.5590, loss: 5.5590 2023-12-24 15:41:22,509 - pyskl - INFO - Epoch [2][2800/3746] lr: 9.997e-02, eta: 4 days, 2:26:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.1419, top5_acc: 0.3567, loss_cls: 5.4885, loss: 5.4885 2023-12-24 15:42:22,438 - pyskl - INFO - Epoch [2][2900/3746] lr: 9.997e-02, eta: 4 days, 2:19:57, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1475, top5_acc: 0.3614, loss_cls: 5.4798, loss: 5.4798 2023-12-24 15:43:22,094 - pyskl - INFO - Epoch [2][3000/3746] lr: 9.996e-02, eta: 4 days, 2:13:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1508, top5_acc: 0.3616, loss_cls: 5.4680, loss: 5.4680 2023-12-24 15:44:21,817 - pyskl - INFO - Epoch [2][3100/3746] lr: 9.996e-02, eta: 4 days, 2:06:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1475, top5_acc: 0.3661, loss_cls: 5.4899, loss: 5.4899 2023-12-24 15:45:21,703 - pyskl - INFO - Epoch [2][3200/3746] lr: 9.996e-02, eta: 4 days, 2:00:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1497, top5_acc: 0.3634, loss_cls: 5.4650, loss: 5.4650 2023-12-24 15:46:21,439 - pyskl - INFO - Epoch [2][3300/3746] lr: 9.996e-02, eta: 4 days, 1:54:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1588, top5_acc: 0.3639, loss_cls: 5.4223, loss: 5.4223 2023-12-24 15:47:21,309 - pyskl - INFO - Epoch [2][3400/3746] lr: 9.996e-02, eta: 4 days, 1:48:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1548, top5_acc: 0.3675, loss_cls: 5.4051, loss: 5.4051 2023-12-24 15:48:21,506 - pyskl - INFO - Epoch [2][3500/3746] lr: 9.996e-02, eta: 4 days, 1:43:39, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.1539, top5_acc: 0.3697, loss_cls: 5.4446, loss: 5.4446 2023-12-24 15:49:21,363 - pyskl - INFO - Epoch [2][3600/3746] lr: 9.996e-02, eta: 4 days, 1:38:06, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1516, top5_acc: 0.3597, loss_cls: 5.4577, loss: 5.4577 2023-12-24 15:50:21,469 - pyskl - INFO - Epoch [2][3700/3746] lr: 9.996e-02, eta: 4 days, 1:32:58, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.1539, top5_acc: 0.3786, loss_cls: 5.3818, loss: 5.3818 2023-12-24 15:50:51,918 - pyskl - INFO - Saving checkpoint at 2 epochs 2023-12-24 15:52:52,383 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 15:52:53,239 - pyskl - INFO - top1_acc 0.1100 top5_acc 0.2926 2023-12-24 15:52:53,239 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 15:52:53,285 - pyskl - INFO - mean_acc 0.1098 2023-12-24 15:52:53,295 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_1.pth was removed 2023-12-24 15:52:53,699 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2023-12-24 15:52:53,699 - pyskl - INFO - Best top1_acc is 0.1100 at 2 epoch. 2023-12-24 15:52:53,706 - pyskl - INFO - Epoch(val) [2][309] top1_acc: 0.1100, top5_acc: 0.2926, mean_class_accuracy: 0.1098 2023-12-24 15:56:09,635 - pyskl - INFO - Epoch [3][100/3746] lr: 9.995e-02, eta: 4 days, 3:37:19, time: 1.959, data_time: 1.359, memory: 16177, top1_acc: 0.1542, top5_acc: 0.3666, loss_cls: 5.3894, loss: 5.3894 2023-12-24 15:57:09,163 - pyskl - INFO - Epoch [3][200/3746] lr: 9.995e-02, eta: 4 days, 3:30:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.1591, top5_acc: 0.3655, loss_cls: 5.4096, loss: 5.4096 2023-12-24 15:58:08,904 - pyskl - INFO - Epoch [3][300/3746] lr: 9.995e-02, eta: 4 days, 3:23:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1670, top5_acc: 0.3814, loss_cls: 5.3295, loss: 5.3295 2023-12-24 15:59:08,449 - pyskl - INFO - Epoch [3][400/3746] lr: 9.995e-02, eta: 4 days, 3:16:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.1613, top5_acc: 0.3855, loss_cls: 5.3585, loss: 5.3585 2023-12-24 16:00:08,054 - pyskl - INFO - Epoch [3][500/3746] lr: 9.995e-02, eta: 4 days, 3:09:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.1691, top5_acc: 0.3858, loss_cls: 5.3309, loss: 5.3309 2023-12-24 16:01:07,806 - pyskl - INFO - Epoch [3][600/3746] lr: 9.995e-02, eta: 4 days, 3:03:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1641, top5_acc: 0.3762, loss_cls: 5.3617, loss: 5.3617 2023-12-24 16:02:07,537 - pyskl - INFO - Epoch [3][700/3746] lr: 9.995e-02, eta: 4 days, 2:56:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1666, top5_acc: 0.3856, loss_cls: 5.3054, loss: 5.3054 2023-12-24 16:03:07,211 - pyskl - INFO - Epoch [3][800/3746] lr: 9.995e-02, eta: 4 days, 2:50:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1644, top5_acc: 0.3847, loss_cls: 5.3108, loss: 5.3108 2023-12-24 16:04:06,847 - pyskl - INFO - Epoch [3][900/3746] lr: 9.994e-02, eta: 4 days, 2:44:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.1625, top5_acc: 0.3873, loss_cls: 5.2992, loss: 5.2992 2023-12-24 16:05:06,482 - pyskl - INFO - Epoch [3][1000/3746] lr: 9.994e-02, eta: 4 days, 2:38:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.1644, top5_acc: 0.3864, loss_cls: 5.3248, loss: 5.3248 2023-12-24 16:06:06,288 - pyskl - INFO - Epoch [3][1100/3746] lr: 9.994e-02, eta: 4 days, 2:32:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1680, top5_acc: 0.3936, loss_cls: 5.2624, loss: 5.2624 2023-12-24 16:07:05,986 - pyskl - INFO - Epoch [3][1200/3746] lr: 9.994e-02, eta: 4 days, 2:26:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1703, top5_acc: 0.4072, loss_cls: 5.2465, loss: 5.2465 2023-12-24 16:08:05,882 - pyskl - INFO - Epoch [3][1300/3746] lr: 9.994e-02, eta: 4 days, 2:21:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1670, top5_acc: 0.3895, loss_cls: 5.2973, loss: 5.2973 2023-12-24 16:09:05,549 - pyskl - INFO - Epoch [3][1400/3746] lr: 9.994e-02, eta: 4 days, 2:15:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1755, top5_acc: 0.3953, loss_cls: 5.2799, loss: 5.2799 2023-12-24 16:10:05,385 - pyskl - INFO - Epoch [3][1500/3746] lr: 9.994e-02, eta: 4 days, 2:10:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1667, top5_acc: 0.3941, loss_cls: 5.2580, loss: 5.2580 2023-12-24 16:11:05,134 - pyskl - INFO - Epoch [3][1600/3746] lr: 9.994e-02, eta: 4 days, 2:05:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1677, top5_acc: 0.4002, loss_cls: 5.2528, loss: 5.2528 2023-12-24 16:12:04,937 - pyskl - INFO - Epoch [3][1700/3746] lr: 9.993e-02, eta: 4 days, 1:59:58, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1781, top5_acc: 0.4030, loss_cls: 5.2369, loss: 5.2369 2023-12-24 16:13:04,408 - pyskl - INFO - Epoch [3][1800/3746] lr: 9.993e-02, eta: 4 days, 1:54:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.1861, top5_acc: 0.4031, loss_cls: 5.2071, loss: 5.2071 2023-12-24 16:14:04,073 - pyskl - INFO - Epoch [3][1900/3746] lr: 9.993e-02, eta: 4 days, 1:49:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1656, top5_acc: 0.3914, loss_cls: 5.2423, loss: 5.2423 2023-12-24 16:15:03,585 - pyskl - INFO - Epoch [3][2000/3746] lr: 9.993e-02, eta: 4 days, 1:44:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.1766, top5_acc: 0.3998, loss_cls: 5.2315, loss: 5.2315 2023-12-24 16:16:03,218 - pyskl - INFO - Epoch [3][2100/3746] lr: 9.993e-02, eta: 4 days, 1:39:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.1719, top5_acc: 0.3956, loss_cls: 5.2495, loss: 5.2495 2023-12-24 16:17:02,932 - pyskl - INFO - Epoch [3][2200/3746] lr: 9.993e-02, eta: 4 days, 1:34:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1745, top5_acc: 0.4027, loss_cls: 5.2217, loss: 5.2217 2023-12-24 16:18:02,538 - pyskl - INFO - Epoch [3][2300/3746] lr: 9.993e-02, eta: 4 days, 1:29:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.1714, top5_acc: 0.3947, loss_cls: 5.2341, loss: 5.2341 2023-12-24 16:19:02,336 - pyskl - INFO - Epoch [3][2400/3746] lr: 9.992e-02, eta: 4 days, 1:25:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1778, top5_acc: 0.4142, loss_cls: 5.1756, loss: 5.1756 2023-12-24 16:20:01,803 - pyskl - INFO - Epoch [3][2500/3746] lr: 9.992e-02, eta: 4 days, 1:20:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.1822, top5_acc: 0.4144, loss_cls: 5.1894, loss: 5.1894 2023-12-24 16:21:01,473 - pyskl - INFO - Epoch [3][2600/3746] lr: 9.992e-02, eta: 4 days, 1:15:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1847, top5_acc: 0.4148, loss_cls: 5.1682, loss: 5.1682 2023-12-24 16:22:01,168 - pyskl - INFO - Epoch [3][2700/3746] lr: 9.992e-02, eta: 4 days, 1:11:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1780, top5_acc: 0.3986, loss_cls: 5.2088, loss: 5.2088 2023-12-24 16:23:00,665 - pyskl - INFO - Epoch [3][2800/3746] lr: 9.992e-02, eta: 4 days, 1:06:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.1773, top5_acc: 0.3944, loss_cls: 5.2111, loss: 5.2111 2023-12-24 16:24:00,031 - pyskl - INFO - Epoch [3][2900/3746] lr: 9.992e-02, eta: 4 days, 1:02:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.1873, top5_acc: 0.4145, loss_cls: 5.1384, loss: 5.1384 2023-12-24 16:24:59,707 - pyskl - INFO - Epoch [3][3000/3746] lr: 9.991e-02, eta: 4 days, 0:57:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.1831, top5_acc: 0.4050, loss_cls: 5.1879, loss: 5.1879 2023-12-24 16:25:59,174 - pyskl - INFO - Epoch [3][3100/3746] lr: 9.991e-02, eta: 4 days, 0:53:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.1772, top5_acc: 0.4006, loss_cls: 5.2173, loss: 5.2173 2023-12-24 16:26:58,924 - pyskl - INFO - Epoch [3][3200/3746] lr: 9.991e-02, eta: 4 days, 0:49:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1827, top5_acc: 0.4062, loss_cls: 5.1826, loss: 5.1826 2023-12-24 16:27:58,464 - pyskl - INFO - Epoch [3][3300/3746] lr: 9.991e-02, eta: 4 days, 0:45:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.1767, top5_acc: 0.3997, loss_cls: 5.2099, loss: 5.2099 2023-12-24 16:28:58,233 - pyskl - INFO - Epoch [3][3400/3746] lr: 9.991e-02, eta: 4 days, 0:41:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1781, top5_acc: 0.4095, loss_cls: 5.1821, loss: 5.1821 2023-12-24 16:29:57,872 - pyskl - INFO - Epoch [3][3500/3746] lr: 9.991e-02, eta: 4 days, 0:37:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.1908, top5_acc: 0.4123, loss_cls: 5.1487, loss: 5.1487 2023-12-24 16:30:57,928 - pyskl - INFO - Epoch [3][3600/3746] lr: 9.990e-02, eta: 4 days, 0:33:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.1814, top5_acc: 0.4111, loss_cls: 5.1735, loss: 5.1735 2023-12-24 16:31:58,115 - pyskl - INFO - Epoch [3][3700/3746] lr: 9.990e-02, eta: 4 days, 0:30:14, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.1925, top5_acc: 0.4133, loss_cls: 5.1454, loss: 5.1454 2023-12-24 16:32:28,051 - pyskl - INFO - Saving checkpoint at 3 epochs 2023-12-24 16:34:28,131 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 16:34:29,228 - pyskl - INFO - top1_acc 0.1271 top5_acc 0.3093 2023-12-24 16:34:29,229 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 16:34:29,268 - pyskl - INFO - mean_acc 0.1270 2023-12-24 16:34:29,273 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_2.pth was removed 2023-12-24 16:34:29,721 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2023-12-24 16:34:29,721 - pyskl - INFO - Best top1_acc is 0.1271 at 3 epoch. 2023-12-24 16:34:29,729 - pyskl - INFO - Epoch(val) [3][309] top1_acc: 0.1271, top5_acc: 0.3093, mean_class_accuracy: 0.1270 2023-12-24 16:37:47,558 - pyskl - INFO - Epoch [4][100/3746] lr: 9.990e-02, eta: 4 days, 1:54:16, time: 1.978, data_time: 1.379, memory: 16177, top1_acc: 0.1945, top5_acc: 0.4231, loss_cls: 5.1012, loss: 5.1012 2023-12-24 16:38:48,114 - pyskl - INFO - Epoch [4][200/3746] lr: 9.990e-02, eta: 4 days, 1:50:25, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1920, top5_acc: 0.4209, loss_cls: 5.1013, loss: 5.1013 2023-12-24 16:39:48,102 - pyskl - INFO - Epoch [4][300/3746] lr: 9.990e-02, eta: 4 days, 1:46:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.1972, top5_acc: 0.4253, loss_cls: 5.0850, loss: 5.0850 2023-12-24 16:40:48,367 - pyskl - INFO - Epoch [4][400/3746] lr: 9.989e-02, eta: 4 days, 1:42:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.1836, top5_acc: 0.4148, loss_cls: 5.1136, loss: 5.1136 2023-12-24 16:41:48,542 - pyskl - INFO - Epoch [4][500/3746] lr: 9.989e-02, eta: 4 days, 1:38:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.1864, top5_acc: 0.4203, loss_cls: 5.0823, loss: 5.0823 2023-12-24 16:42:48,388 - pyskl - INFO - Epoch [4][600/3746] lr: 9.989e-02, eta: 4 days, 1:34:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.1886, top5_acc: 0.4250, loss_cls: 5.0706, loss: 5.0706 2023-12-24 16:43:48,265 - pyskl - INFO - Epoch [4][700/3746] lr: 9.989e-02, eta: 4 days, 1:29:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1905, top5_acc: 0.4167, loss_cls: 5.1060, loss: 5.1060 2023-12-24 16:44:48,606 - pyskl - INFO - Epoch [4][800/3746] lr: 9.989e-02, eta: 4 days, 1:26:11, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.1930, top5_acc: 0.4305, loss_cls: 5.0953, loss: 5.0953 2023-12-24 16:45:48,933 - pyskl - INFO - Epoch [4][900/3746] lr: 9.988e-02, eta: 4 days, 1:22:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.1941, top5_acc: 0.4208, loss_cls: 5.1045, loss: 5.1045 2023-12-24 16:46:49,043 - pyskl - INFO - Epoch [4][1000/3746] lr: 9.988e-02, eta: 4 days, 1:18:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.1903, top5_acc: 0.4238, loss_cls: 5.0874, loss: 5.0874 2023-12-24 16:47:48,983 - pyskl - INFO - Epoch [4][1100/3746] lr: 9.988e-02, eta: 4 days, 1:14:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1914, top5_acc: 0.4245, loss_cls: 5.0973, loss: 5.0973 2023-12-24 16:48:50,013 - pyskl - INFO - Epoch [4][1200/3746] lr: 9.988e-02, eta: 4 days, 1:11:47, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.1984, top5_acc: 0.4267, loss_cls: 5.0678, loss: 5.0678 2023-12-24 16:49:51,166 - pyskl - INFO - Epoch [4][1300/3746] lr: 9.988e-02, eta: 4 days, 1:08:53, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2030, top5_acc: 0.4375, loss_cls: 5.0643, loss: 5.0643 2023-12-24 16:50:52,479 - pyskl - INFO - Epoch [4][1400/3746] lr: 9.988e-02, eta: 4 days, 1:06:07, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2048, top5_acc: 0.4387, loss_cls: 5.0264, loss: 5.0264 2023-12-24 16:51:54,185 - pyskl - INFO - Epoch [4][1500/3746] lr: 9.987e-02, eta: 4 days, 1:03:40, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.1955, top5_acc: 0.4270, loss_cls: 5.0858, loss: 5.0858 2023-12-24 16:52:54,424 - pyskl - INFO - Epoch [4][1600/3746] lr: 9.987e-02, eta: 4 days, 1:00:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2086, top5_acc: 0.4447, loss_cls: 4.9945, loss: 4.9945 2023-12-24 16:53:55,671 - pyskl - INFO - Epoch [4][1700/3746] lr: 9.987e-02, eta: 4 days, 0:57:27, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.1967, top5_acc: 0.4281, loss_cls: 5.0711, loss: 5.0711 2023-12-24 16:54:57,155 - pyskl - INFO - Epoch [4][1800/3746] lr: 9.987e-02, eta: 4 days, 0:54:55, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.1936, top5_acc: 0.4258, loss_cls: 5.0424, loss: 5.0424 2023-12-24 16:55:58,270 - pyskl - INFO - Epoch [4][1900/3746] lr: 9.987e-02, eta: 4 days, 0:52:09, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.1908, top5_acc: 0.4188, loss_cls: 5.0904, loss: 5.0904 2023-12-24 16:56:58,908 - pyskl - INFO - Epoch [4][2000/3746] lr: 9.986e-02, eta: 4 days, 0:49:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2023, top5_acc: 0.4419, loss_cls: 5.0014, loss: 5.0014 2023-12-24 16:57:59,999 - pyskl - INFO - Epoch [4][2100/3746] lr: 9.986e-02, eta: 4 days, 0:46:21, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.1952, top5_acc: 0.4181, loss_cls: 5.0780, loss: 5.0780 2023-12-24 16:59:00,883 - pyskl - INFO - Epoch [4][2200/3746] lr: 9.986e-02, eta: 4 days, 0:43:31, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.1939, top5_acc: 0.4225, loss_cls: 5.0852, loss: 5.0852 2023-12-24 17:00:01,858 - pyskl - INFO - Epoch [4][2300/3746] lr: 9.986e-02, eta: 4 days, 0:40:45, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.1856, top5_acc: 0.4244, loss_cls: 5.0957, loss: 5.0957 2023-12-24 17:01:02,560 - pyskl - INFO - Epoch [4][2400/3746] lr: 9.985e-02, eta: 4 days, 0:37:51, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.1875, top5_acc: 0.4289, loss_cls: 5.0614, loss: 5.0614 2023-12-24 17:02:02,676 - pyskl - INFO - Epoch [4][2500/3746] lr: 9.985e-02, eta: 4 days, 0:34:34, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.1980, top5_acc: 0.4359, loss_cls: 5.0158, loss: 5.0158 2023-12-24 17:03:03,291 - pyskl - INFO - Epoch [4][2600/3746] lr: 9.985e-02, eta: 4 days, 0:31:39, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1972, top5_acc: 0.4380, loss_cls: 5.0166, loss: 5.0166 2023-12-24 17:04:04,723 - pyskl - INFO - Epoch [4][2700/3746] lr: 9.985e-02, eta: 4 days, 0:29:18, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.1961, top5_acc: 0.4247, loss_cls: 5.0461, loss: 5.0461 2023-12-24 17:05:06,171 - pyskl - INFO - Epoch [4][2800/3746] lr: 9.985e-02, eta: 4 days, 0:26:59, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.1914, top5_acc: 0.4248, loss_cls: 5.0767, loss: 5.0767 2023-12-24 17:06:08,101 - pyskl - INFO - Epoch [4][2900/3746] lr: 9.984e-02, eta: 4 days, 0:24:59, time: 0.619, data_time: 0.000, memory: 16177, top1_acc: 0.1941, top5_acc: 0.4328, loss_cls: 5.0408, loss: 5.0408 2023-12-24 17:07:09,419 - pyskl - INFO - Epoch [4][3000/3746] lr: 9.984e-02, eta: 4 days, 0:22:37, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.1892, top5_acc: 0.4320, loss_cls: 5.0207, loss: 5.0207 2023-12-24 17:08:10,610 - pyskl - INFO - Epoch [4][3100/3746] lr: 9.984e-02, eta: 4 days, 0:20:11, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2058, top5_acc: 0.4311, loss_cls: 5.0018, loss: 5.0018 2023-12-24 17:09:11,450 - pyskl - INFO - Epoch [4][3200/3746] lr: 9.984e-02, eta: 4 days, 0:17:33, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.1970, top5_acc: 0.4311, loss_cls: 5.0487, loss: 5.0487 2023-12-24 17:10:11,334 - pyskl - INFO - Epoch [4][3300/3746] lr: 9.983e-02, eta: 4 days, 0:14:20, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.1997, top5_acc: 0.4342, loss_cls: 5.0186, loss: 5.0186 2023-12-24 17:11:11,421 - pyskl - INFO - Epoch [4][3400/3746] lr: 9.983e-02, eta: 4 days, 0:11:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.1989, top5_acc: 0.4358, loss_cls: 5.0345, loss: 5.0345 2023-12-24 17:12:11,749 - pyskl - INFO - Epoch [4][3500/3746] lr: 9.983e-02, eta: 4 days, 0:08:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2016, top5_acc: 0.4355, loss_cls: 5.0306, loss: 5.0306 2023-12-24 17:13:12,152 - pyskl - INFO - Epoch [4][3600/3746] lr: 9.983e-02, eta: 4 days, 0:05:36, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2019, top5_acc: 0.4333, loss_cls: 4.9967, loss: 4.9967 2023-12-24 17:14:12,630 - pyskl - INFO - Epoch [4][3700/3746] lr: 9.983e-02, eta: 4 days, 0:02:52, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2061, top5_acc: 0.4427, loss_cls: 4.9879, loss: 4.9879 2023-12-24 17:14:44,359 - pyskl - INFO - Saving checkpoint at 4 epochs 2023-12-24 17:16:45,500 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 17:16:46,470 - pyskl - INFO - top1_acc 0.1395 top5_acc 0.3406 2023-12-24 17:16:46,471 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 17:16:46,524 - pyskl - INFO - mean_acc 0.1395 2023-12-24 17:16:46,536 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_3.pth was removed 2023-12-24 17:16:47,002 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2023-12-24 17:16:47,002 - pyskl - INFO - Best top1_acc is 0.1395 at 4 epoch. 2023-12-24 17:16:47,011 - pyskl - INFO - Epoch(val) [4][309] top1_acc: 0.1395, top5_acc: 0.3406, mean_class_accuracy: 0.1395 2023-12-24 17:19:59,784 - pyskl - INFO - Epoch [5][100/3746] lr: 9.982e-02, eta: 4 days, 1:02:01, time: 1.928, data_time: 1.325, memory: 16177, top1_acc: 0.2003, top5_acc: 0.4492, loss_cls: 4.9703, loss: 4.9703 2023-12-24 17:21:00,252 - pyskl - INFO - Epoch [5][200/3746] lr: 9.982e-02, eta: 4 days, 0:58:55, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2081, top5_acc: 0.4466, loss_cls: 4.9520, loss: 4.9520 2023-12-24 17:21:59,896 - pyskl - INFO - Epoch [5][300/3746] lr: 9.982e-02, eta: 4 days, 0:55:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2058, top5_acc: 0.4380, loss_cls: 4.9966, loss: 4.9966 2023-12-24 17:22:59,633 - pyskl - INFO - Epoch [5][400/3746] lr: 9.982e-02, eta: 4 days, 0:51:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2016, top5_acc: 0.4402, loss_cls: 4.9959, loss: 4.9959 2023-12-24 17:23:59,975 - pyskl - INFO - Epoch [5][500/3746] lr: 9.981e-02, eta: 4 days, 0:48:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2070, top5_acc: 0.4447, loss_cls: 4.9624, loss: 4.9624 2023-12-24 17:25:00,366 - pyskl - INFO - Epoch [5][600/3746] lr: 9.981e-02, eta: 4 days, 0:45:42, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2144, top5_acc: 0.4389, loss_cls: 4.9557, loss: 4.9557 2023-12-24 17:26:00,955 - pyskl - INFO - Epoch [5][700/3746] lr: 9.981e-02, eta: 4 days, 0:42:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2023, top5_acc: 0.4437, loss_cls: 4.9804, loss: 4.9804 2023-12-24 17:27:01,216 - pyskl - INFO - Epoch [5][800/3746] lr: 9.981e-02, eta: 4 days, 0:39:43, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2005, top5_acc: 0.4302, loss_cls: 4.9907, loss: 4.9907 2023-12-24 17:28:01,521 - pyskl - INFO - Epoch [5][900/3746] lr: 9.980e-02, eta: 4 days, 0:36:42, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2009, top5_acc: 0.4386, loss_cls: 4.9969, loss: 4.9969 2023-12-24 17:29:01,761 - pyskl - INFO - Epoch [5][1000/3746] lr: 9.980e-02, eta: 4 days, 0:33:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2087, top5_acc: 0.4402, loss_cls: 4.9872, loss: 4.9872 2023-12-24 17:30:02,551 - pyskl - INFO - Epoch [5][1100/3746] lr: 9.980e-02, eta: 4 days, 0:30:58, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2111, top5_acc: 0.4494, loss_cls: 4.9648, loss: 4.9648 2023-12-24 17:31:02,820 - pyskl - INFO - Epoch [5][1200/3746] lr: 9.980e-02, eta: 4 days, 0:28:00, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.1966, top5_acc: 0.4323, loss_cls: 5.0105, loss: 5.0105 2023-12-24 17:32:03,193 - pyskl - INFO - Epoch [5][1300/3746] lr: 9.979e-02, eta: 4 days, 0:25:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2116, top5_acc: 0.4503, loss_cls: 4.9378, loss: 4.9378 2023-12-24 17:33:03,794 - pyskl - INFO - Epoch [5][1400/3746] lr: 9.979e-02, eta: 4 days, 0:22:23, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.1989, top5_acc: 0.4405, loss_cls: 4.9929, loss: 4.9929 2023-12-24 17:34:04,903 - pyskl - INFO - Epoch [5][1500/3746] lr: 9.979e-02, eta: 4 days, 0:19:57, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2105, top5_acc: 0.4455, loss_cls: 4.9377, loss: 4.9377 2023-12-24 17:35:06,185 - pyskl - INFO - Epoch [5][1600/3746] lr: 9.979e-02, eta: 4 days, 0:17:38, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2089, top5_acc: 0.4467, loss_cls: 4.9431, loss: 4.9431 2023-12-24 17:36:07,343 - pyskl - INFO - Epoch [5][1700/3746] lr: 9.978e-02, eta: 4 days, 0:15:15, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2073, top5_acc: 0.4427, loss_cls: 4.9794, loss: 4.9794 2023-12-24 17:37:08,880 - pyskl - INFO - Epoch [5][1800/3746] lr: 9.978e-02, eta: 4 days, 0:13:06, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2072, top5_acc: 0.4387, loss_cls: 4.9756, loss: 4.9756 2023-12-24 17:38:09,958 - pyskl - INFO - Epoch [5][1900/3746] lr: 9.978e-02, eta: 4 days, 0:10:43, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2080, top5_acc: 0.4506, loss_cls: 4.9504, loss: 4.9504 2023-12-24 17:39:11,242 - pyskl - INFO - Epoch [5][2000/3746] lr: 9.977e-02, eta: 4 days, 0:08:28, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2097, top5_acc: 0.4455, loss_cls: 4.9623, loss: 4.9623 2023-12-24 17:40:12,571 - pyskl - INFO - Epoch [5][2100/3746] lr: 9.977e-02, eta: 4 days, 0:06:14, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2077, top5_acc: 0.4539, loss_cls: 4.9388, loss: 4.9388 2023-12-24 17:41:13,715 - pyskl - INFO - Epoch [5][2200/3746] lr: 9.977e-02, eta: 4 days, 0:03:56, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2047, top5_acc: 0.4450, loss_cls: 4.9593, loss: 4.9593 2023-12-24 17:42:15,118 - pyskl - INFO - Epoch [5][2300/3746] lr: 9.977e-02, eta: 4 days, 0:01:47, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2112, top5_acc: 0.4492, loss_cls: 4.9404, loss: 4.9404 2023-12-24 17:43:15,789 - pyskl - INFO - Epoch [5][2400/3746] lr: 9.976e-02, eta: 3 days, 23:59:15, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2081, top5_acc: 0.4506, loss_cls: 4.9221, loss: 4.9221 2023-12-24 17:44:17,066 - pyskl - INFO - Epoch [5][2500/3746] lr: 9.976e-02, eta: 3 days, 23:57:04, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2048, top5_acc: 0.4475, loss_cls: 4.9292, loss: 4.9292 2023-12-24 17:45:18,976 - pyskl - INFO - Epoch [5][2600/3746] lr: 9.976e-02, eta: 3 days, 23:55:13, time: 0.619, data_time: 0.000, memory: 16177, top1_acc: 0.2117, top5_acc: 0.4575, loss_cls: 4.9110, loss: 4.9110 2023-12-24 17:46:19,783 - pyskl - INFO - Epoch [5][2700/3746] lr: 9.976e-02, eta: 3 days, 23:52:48, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2205, top5_acc: 0.4452, loss_cls: 4.9387, loss: 4.9387 2023-12-24 17:47:20,367 - pyskl - INFO - Epoch [5][2800/3746] lr: 9.975e-02, eta: 3 days, 23:50:18, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2089, top5_acc: 0.4439, loss_cls: 4.9507, loss: 4.9507 2023-12-24 17:48:20,798 - pyskl - INFO - Epoch [5][2900/3746] lr: 9.975e-02, eta: 3 days, 23:47:44, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2098, top5_acc: 0.4511, loss_cls: 4.9197, loss: 4.9197 2023-12-24 17:49:21,073 - pyskl - INFO - Epoch [5][3000/3746] lr: 9.975e-02, eta: 3 days, 23:45:06, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2050, top5_acc: 0.4523, loss_cls: 4.9270, loss: 4.9270 2023-12-24 17:50:21,091 - pyskl - INFO - Epoch [5][3100/3746] lr: 9.974e-02, eta: 3 days, 23:42:22, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2117, top5_acc: 0.4497, loss_cls: 4.9338, loss: 4.9338 2023-12-24 17:51:21,468 - pyskl - INFO - Epoch [5][3200/3746] lr: 9.974e-02, eta: 3 days, 23:39:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2075, top5_acc: 0.4527, loss_cls: 4.9485, loss: 4.9485 2023-12-24 17:52:21,864 - pyskl - INFO - Epoch [5][3300/3746] lr: 9.974e-02, eta: 3 days, 23:37:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2177, top5_acc: 0.4491, loss_cls: 4.9169, loss: 4.9169 2023-12-24 17:53:22,125 - pyskl - INFO - Epoch [5][3400/3746] lr: 9.974e-02, eta: 3 days, 23:34:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2067, top5_acc: 0.4552, loss_cls: 4.9367, loss: 4.9367 2023-12-24 17:54:22,432 - pyskl - INFO - Epoch [5][3500/3746] lr: 9.973e-02, eta: 3 days, 23:32:13, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2123, top5_acc: 0.4439, loss_cls: 4.9443, loss: 4.9443 2023-12-24 17:55:23,165 - pyskl - INFO - Epoch [5][3600/3746] lr: 9.973e-02, eta: 3 days, 23:29:55, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2109, top5_acc: 0.4461, loss_cls: 4.9300, loss: 4.9300 2023-12-24 17:56:24,311 - pyskl - INFO - Epoch [5][3700/3746] lr: 9.973e-02, eta: 3 days, 23:27:49, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2127, top5_acc: 0.4470, loss_cls: 4.9281, loss: 4.9281 2023-12-24 17:56:54,732 - pyskl - INFO - Saving checkpoint at 5 epochs 2023-12-24 17:59:00,045 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 17:59:00,974 - pyskl - INFO - top1_acc 0.1292 top5_acc 0.3248 2023-12-24 17:59:00,974 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 17:59:01,019 - pyskl - INFO - mean_acc 0.1292 2023-12-24 17:59:01,027 - pyskl - INFO - Epoch(val) [5][309] top1_acc: 0.1292, top5_acc: 0.3248, mean_class_accuracy: 0.1292 2023-12-24 18:02:13,537 - pyskl - INFO - Epoch [6][100/3746] lr: 9.972e-02, eta: 4 days, 0:14:25, time: 1.925, data_time: 1.323, memory: 16177, top1_acc: 0.2247, top5_acc: 0.4639, loss_cls: 4.8393, loss: 4.8393 2023-12-24 18:03:13,594 - pyskl - INFO - Epoch [6][200/3746] lr: 9.972e-02, eta: 4 days, 0:11:34, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2239, top5_acc: 0.4589, loss_cls: 4.8791, loss: 4.8791 2023-12-24 18:04:13,466 - pyskl - INFO - Epoch [6][300/3746] lr: 9.972e-02, eta: 4 days, 0:08:38, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2114, top5_acc: 0.4441, loss_cls: 4.9389, loss: 4.9389 2023-12-24 18:05:13,426 - pyskl - INFO - Epoch [6][400/3746] lr: 9.971e-02, eta: 4 days, 0:05:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2181, top5_acc: 0.4620, loss_cls: 4.8857, loss: 4.8857 2023-12-24 18:06:13,402 - pyskl - INFO - Epoch [6][500/3746] lr: 9.971e-02, eta: 4 days, 0:02:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2136, top5_acc: 0.4509, loss_cls: 4.9167, loss: 4.9167 2023-12-24 18:07:13,840 - pyskl - INFO - Epoch [6][600/3746] lr: 9.971e-02, eta: 4 days, 0:00:21, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2220, top5_acc: 0.4583, loss_cls: 4.9019, loss: 4.9019 2023-12-24 18:08:14,923 - pyskl - INFO - Epoch [6][700/3746] lr: 9.971e-02, eta: 3 days, 23:58:04, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2169, top5_acc: 0.4567, loss_cls: 4.8736, loss: 4.8736 2023-12-24 18:09:15,961 - pyskl - INFO - Epoch [6][800/3746] lr: 9.970e-02, eta: 3 days, 23:55:47, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2152, top5_acc: 0.4578, loss_cls: 4.8952, loss: 4.8952 2023-12-24 18:10:17,368 - pyskl - INFO - Epoch [6][900/3746] lr: 9.970e-02, eta: 3 days, 23:53:41, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2155, top5_acc: 0.4555, loss_cls: 4.8950, loss: 4.8950 2023-12-24 18:11:18,822 - pyskl - INFO - Epoch [6][1000/3746] lr: 9.970e-02, eta: 3 days, 23:51:36, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2209, top5_acc: 0.4659, loss_cls: 4.8714, loss: 4.8714 2023-12-24 18:12:19,886 - pyskl - INFO - Epoch [6][1100/3746] lr: 9.969e-02, eta: 3 days, 23:49:22, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2175, top5_acc: 0.4584, loss_cls: 4.9049, loss: 4.9049 2023-12-24 18:13:20,815 - pyskl - INFO - Epoch [6][1200/3746] lr: 9.969e-02, eta: 3 days, 23:47:05, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2139, top5_acc: 0.4477, loss_cls: 4.9221, loss: 4.9221 2023-12-24 18:14:22,125 - pyskl - INFO - Epoch [6][1300/3746] lr: 9.969e-02, eta: 3 days, 23:44:58, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2123, top5_acc: 0.4433, loss_cls: 4.9423, loss: 4.9423 2023-12-24 18:15:23,307 - pyskl - INFO - Epoch [6][1400/3746] lr: 9.968e-02, eta: 3 days, 23:42:49, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2142, top5_acc: 0.4470, loss_cls: 4.9133, loss: 4.9133 2023-12-24 18:16:24,751 - pyskl - INFO - Epoch [6][1500/3746] lr: 9.968e-02, eta: 3 days, 23:40:48, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2198, top5_acc: 0.4569, loss_cls: 4.9002, loss: 4.9002 2023-12-24 18:17:26,618 - pyskl - INFO - Epoch [6][1600/3746] lr: 9.968e-02, eta: 3 days, 23:38:58, time: 0.619, data_time: 0.000, memory: 16177, top1_acc: 0.2219, top5_acc: 0.4630, loss_cls: 4.8715, loss: 4.8715 2023-12-24 18:18:27,832 - pyskl - INFO - Epoch [6][1700/3746] lr: 9.967e-02, eta: 3 days, 23:36:52, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2041, top5_acc: 0.4472, loss_cls: 4.9463, loss: 4.9463 2023-12-24 18:19:29,273 - pyskl - INFO - Epoch [6][1800/3746] lr: 9.967e-02, eta: 3 days, 23:34:52, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2147, top5_acc: 0.4520, loss_cls: 4.8961, loss: 4.8961 2023-12-24 18:20:30,803 - pyskl - INFO - Epoch [6][1900/3746] lr: 9.967e-02, eta: 3 days, 23:32:55, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2175, top5_acc: 0.4641, loss_cls: 4.8688, loss: 4.8688 2023-12-24 18:21:31,832 - pyskl - INFO - Epoch [6][2000/3746] lr: 9.966e-02, eta: 3 days, 23:30:46, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2120, top5_acc: 0.4577, loss_cls: 4.9052, loss: 4.9052 2023-12-24 18:22:32,408 - pyskl - INFO - Epoch [6][2100/3746] lr: 9.966e-02, eta: 3 days, 23:28:25, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2213, top5_acc: 0.4734, loss_cls: 4.8661, loss: 4.8661 2023-12-24 18:23:33,625 - pyskl - INFO - Epoch [6][2200/3746] lr: 9.966e-02, eta: 3 days, 23:26:22, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2158, top5_acc: 0.4667, loss_cls: 4.8436, loss: 4.8436 2023-12-24 18:24:35,012 - pyskl - INFO - Epoch [6][2300/3746] lr: 9.965e-02, eta: 3 days, 23:24:24, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2114, top5_acc: 0.4509, loss_cls: 4.8995, loss: 4.8995 2023-12-24 18:25:36,081 - pyskl - INFO - Epoch [6][2400/3746] lr: 9.965e-02, eta: 3 days, 23:22:18, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2100, top5_acc: 0.4600, loss_cls: 4.9044, loss: 4.9044 2023-12-24 18:26:37,508 - pyskl - INFO - Epoch [6][2500/3746] lr: 9.965e-02, eta: 3 days, 23:20:22, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2230, top5_acc: 0.4631, loss_cls: 4.8739, loss: 4.8739 2023-12-24 18:27:38,990 - pyskl - INFO - Epoch [6][2600/3746] lr: 9.964e-02, eta: 3 days, 23:18:28, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2173, top5_acc: 0.4586, loss_cls: 4.8703, loss: 4.8703 2023-12-24 18:28:40,474 - pyskl - INFO - Epoch [6][2700/3746] lr: 9.964e-02, eta: 3 days, 23:16:34, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2211, top5_acc: 0.4594, loss_cls: 4.8714, loss: 4.8714 2023-12-24 18:29:41,092 - pyskl - INFO - Epoch [6][2800/3746] lr: 9.964e-02, eta: 3 days, 23:14:19, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2175, top5_acc: 0.4537, loss_cls: 4.9002, loss: 4.9002 2023-12-24 18:30:43,014 - pyskl - INFO - Epoch [6][2900/3746] lr: 9.963e-02, eta: 3 days, 23:12:38, time: 0.619, data_time: 0.000, memory: 16177, top1_acc: 0.2238, top5_acc: 0.4673, loss_cls: 4.8841, loss: 4.8841 2023-12-24 18:31:43,980 - pyskl - INFO - Epoch [6][3000/3746] lr: 9.963e-02, eta: 3 days, 23:10:33, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2197, top5_acc: 0.4591, loss_cls: 4.9044, loss: 4.9044 2023-12-24 18:32:45,460 - pyskl - INFO - Epoch [6][3100/3746] lr: 9.963e-02, eta: 3 days, 23:08:41, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2184, top5_acc: 0.4720, loss_cls: 4.8541, loss: 4.8541 2023-12-24 18:33:46,799 - pyskl - INFO - Epoch [6][3200/3746] lr: 9.962e-02, eta: 3 days, 23:06:46, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2167, top5_acc: 0.4577, loss_cls: 4.8923, loss: 4.8923 2023-12-24 18:34:48,027 - pyskl - INFO - Epoch [6][3300/3746] lr: 9.962e-02, eta: 3 days, 23:04:49, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2120, top5_acc: 0.4620, loss_cls: 4.8904, loss: 4.8904 2023-12-24 18:35:48,133 - pyskl - INFO - Epoch [6][3400/3746] lr: 9.962e-02, eta: 3 days, 23:02:25, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2164, top5_acc: 0.4567, loss_cls: 4.8801, loss: 4.8801 2023-12-24 18:36:49,089 - pyskl - INFO - Epoch [6][3500/3746] lr: 9.961e-02, eta: 3 days, 23:00:23, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2059, top5_acc: 0.4453, loss_cls: 4.9075, loss: 4.9075 2023-12-24 18:37:50,320 - pyskl - INFO - Epoch [6][3600/3746] lr: 9.961e-02, eta: 3 days, 22:58:28, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2192, top5_acc: 0.4656, loss_cls: 4.8593, loss: 4.8593 2023-12-24 18:38:51,533 - pyskl - INFO - Epoch [6][3700/3746] lr: 9.961e-02, eta: 3 days, 22:56:33, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2200, top5_acc: 0.4567, loss_cls: 4.8816, loss: 4.8816 2023-12-24 18:39:22,535 - pyskl - INFO - Saving checkpoint at 6 epochs 2023-12-24 18:41:23,757 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 18:41:24,684 - pyskl - INFO - top1_acc 0.1571 top5_acc 0.3746 2023-12-24 18:41:24,685 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 18:41:24,718 - pyskl - INFO - mean_acc 0.1570 2023-12-24 18:41:24,724 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_4.pth was removed 2023-12-24 18:41:25,117 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. 2023-12-24 18:41:25,118 - pyskl - INFO - Best top1_acc is 0.1571 at 6 epoch. 2023-12-24 18:41:25,126 - pyskl - INFO - Epoch(val) [6][309] top1_acc: 0.1571, top5_acc: 0.3746, mean_class_accuracy: 0.1570 2023-12-24 18:44:37,775 - pyskl - INFO - Epoch [7][100/3746] lr: 9.960e-02, eta: 3 days, 23:34:52, time: 1.926, data_time: 1.323, memory: 16177, top1_acc: 0.2180, top5_acc: 0.4605, loss_cls: 4.8456, loss: 4.8456 2023-12-24 18:45:37,740 - pyskl - INFO - Epoch [7][200/3746] lr: 9.960e-02, eta: 3 days, 23:32:17, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2233, top5_acc: 0.4647, loss_cls: 4.8051, loss: 4.8051 2023-12-24 18:46:37,708 - pyskl - INFO - Epoch [7][300/3746] lr: 9.960e-02, eta: 3 days, 23:29:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2217, top5_acc: 0.4623, loss_cls: 4.8473, loss: 4.8473 2023-12-24 18:47:39,235 - pyskl - INFO - Epoch [7][400/3746] lr: 9.959e-02, eta: 3 days, 23:27:47, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2122, top5_acc: 0.4603, loss_cls: 4.8793, loss: 4.8793 2023-12-24 18:48:40,709 - pyskl - INFO - Epoch [7][500/3746] lr: 9.959e-02, eta: 3 days, 23:25:49, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2234, top5_acc: 0.4689, loss_cls: 4.8286, loss: 4.8286 2023-12-24 18:49:42,017 - pyskl - INFO - Epoch [7][600/3746] lr: 9.958e-02, eta: 3 days, 23:23:48, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2228, top5_acc: 0.4627, loss_cls: 4.8713, loss: 4.8713 2023-12-24 18:50:43,406 - pyskl - INFO - Epoch [7][700/3746] lr: 9.958e-02, eta: 3 days, 23:21:50, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2202, top5_acc: 0.4725, loss_cls: 4.8474, loss: 4.8474 2023-12-24 18:51:44,463 - pyskl - INFO - Epoch [7][800/3746] lr: 9.958e-02, eta: 3 days, 23:19:45, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2277, top5_acc: 0.4681, loss_cls: 4.8242, loss: 4.8242 2023-12-24 18:52:45,960 - pyskl - INFO - Epoch [7][900/3746] lr: 9.957e-02, eta: 3 days, 23:17:50, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2170, top5_acc: 0.4641, loss_cls: 4.8543, loss: 4.8543 2023-12-24 18:53:47,645 - pyskl - INFO - Epoch [7][1000/3746] lr: 9.957e-02, eta: 3 days, 23:16:00, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.2264, top5_acc: 0.4763, loss_cls: 4.8057, loss: 4.8057 2023-12-24 18:54:48,567 - pyskl - INFO - Epoch [7][1100/3746] lr: 9.957e-02, eta: 3 days, 23:13:53, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2173, top5_acc: 0.4578, loss_cls: 4.8615, loss: 4.8615 2023-12-24 18:55:49,063 - pyskl - INFO - Epoch [7][1200/3746] lr: 9.956e-02, eta: 3 days, 23:11:36, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2278, top5_acc: 0.4667, loss_cls: 4.8314, loss: 4.8314 2023-12-24 18:56:49,516 - pyskl - INFO - Epoch [7][1300/3746] lr: 9.956e-02, eta: 3 days, 23:09:20, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2198, top5_acc: 0.4564, loss_cls: 4.8632, loss: 4.8632 2023-12-24 18:57:50,809 - pyskl - INFO - Epoch [7][1400/3746] lr: 9.956e-02, eta: 3 days, 23:07:23, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2198, top5_acc: 0.4602, loss_cls: 4.8333, loss: 4.8333 2023-12-24 18:58:52,151 - pyskl - INFO - Epoch [7][1500/3746] lr: 9.955e-02, eta: 3 days, 23:05:27, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2234, top5_acc: 0.4669, loss_cls: 4.8752, loss: 4.8752 2023-12-24 18:59:53,402 - pyskl - INFO - Epoch [7][1600/3746] lr: 9.955e-02, eta: 3 days, 23:03:30, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2245, top5_acc: 0.4717, loss_cls: 4.8329, loss: 4.8329 2023-12-24 19:00:53,848 - pyskl - INFO - Epoch [7][1700/3746] lr: 9.954e-02, eta: 3 days, 23:01:16, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2294, top5_acc: 0.4659, loss_cls: 4.8462, loss: 4.8462 2023-12-24 19:01:53,865 - pyskl - INFO - Epoch [7][1800/3746] lr: 9.954e-02, eta: 3 days, 22:58:53, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2244, top5_acc: 0.4642, loss_cls: 4.8437, loss: 4.8437 2023-12-24 19:02:54,771 - pyskl - INFO - Epoch [7][1900/3746] lr: 9.954e-02, eta: 3 days, 22:56:49, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2134, top5_acc: 0.4595, loss_cls: 4.8794, loss: 4.8794 2023-12-24 19:03:56,352 - pyskl - INFO - Epoch [7][2000/3746] lr: 9.953e-02, eta: 3 days, 22:55:02, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.2250, top5_acc: 0.4702, loss_cls: 4.8219, loss: 4.8219 2023-12-24 19:04:57,621 - pyskl - INFO - Epoch [7][2100/3746] lr: 9.953e-02, eta: 3 days, 22:53:08, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2213, top5_acc: 0.4614, loss_cls: 4.8892, loss: 4.8892 2023-12-24 19:05:59,063 - pyskl - INFO - Epoch [7][2200/3746] lr: 9.952e-02, eta: 3 days, 22:51:18, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2205, top5_acc: 0.4595, loss_cls: 4.8738, loss: 4.8738 2023-12-24 19:06:59,966 - pyskl - INFO - Epoch [7][2300/3746] lr: 9.952e-02, eta: 3 days, 22:49:16, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2234, top5_acc: 0.4664, loss_cls: 4.8481, loss: 4.8481 2023-12-24 19:07:59,759 - pyskl - INFO - Epoch [7][2400/3746] lr: 9.952e-02, eta: 3 days, 22:46:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2197, top5_acc: 0.4600, loss_cls: 4.8595, loss: 4.8595 2023-12-24 19:08:59,793 - pyskl - INFO - Epoch [7][2500/3746] lr: 9.951e-02, eta: 3 days, 22:44:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2208, top5_acc: 0.4645, loss_cls: 4.8740, loss: 4.8740 2023-12-24 19:09:59,784 - pyskl - INFO - Epoch [7][2600/3746] lr: 9.951e-02, eta: 3 days, 22:42:14, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2167, top5_acc: 0.4569, loss_cls: 4.9002, loss: 4.9002 2023-12-24 19:11:00,116 - pyskl - INFO - Epoch [7][2700/3746] lr: 9.951e-02, eta: 3 days, 22:40:02, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2186, top5_acc: 0.4517, loss_cls: 4.8798, loss: 4.8798 2023-12-24 19:12:01,009 - pyskl - INFO - Epoch [7][2800/3746] lr: 9.950e-02, eta: 3 days, 22:38:03, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2284, top5_acc: 0.4628, loss_cls: 4.8403, loss: 4.8403 2023-12-24 19:13:02,355 - pyskl - INFO - Epoch [7][2900/3746] lr: 9.950e-02, eta: 3 days, 22:36:15, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2281, top5_acc: 0.4623, loss_cls: 4.8211, loss: 4.8211 2023-12-24 19:14:02,529 - pyskl - INFO - Epoch [7][3000/3746] lr: 9.949e-02, eta: 3 days, 22:34:02, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2181, top5_acc: 0.4650, loss_cls: 4.8663, loss: 4.8663 2023-12-24 19:15:02,673 - pyskl - INFO - Epoch [7][3100/3746] lr: 9.949e-02, eta: 3 days, 22:31:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2320, top5_acc: 0.4708, loss_cls: 4.8318, loss: 4.8318 2023-12-24 19:16:02,608 - pyskl - INFO - Epoch [7][3200/3746] lr: 9.949e-02, eta: 3 days, 22:29:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2213, top5_acc: 0.4633, loss_cls: 4.8752, loss: 4.8752 2023-12-24 19:17:02,723 - pyskl - INFO - Epoch [7][3300/3746] lr: 9.948e-02, eta: 3 days, 22:27:19, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2253, top5_acc: 0.4666, loss_cls: 4.8285, loss: 4.8285 2023-12-24 19:18:02,870 - pyskl - INFO - Epoch [7][3400/3746] lr: 9.948e-02, eta: 3 days, 22:25:08, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2247, top5_acc: 0.4637, loss_cls: 4.8331, loss: 4.8331 2023-12-24 19:19:03,060 - pyskl - INFO - Epoch [7][3500/3746] lr: 9.947e-02, eta: 3 days, 22:22:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2195, top5_acc: 0.4708, loss_cls: 4.8582, loss: 4.8582 2023-12-24 19:20:02,972 - pyskl - INFO - Epoch [7][3600/3746] lr: 9.947e-02, eta: 3 days, 22:20:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2286, top5_acc: 0.4667, loss_cls: 4.8416, loss: 4.8416 2023-12-24 19:21:03,112 - pyskl - INFO - Epoch [7][3700/3746] lr: 9.947e-02, eta: 3 days, 22:18:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2277, top5_acc: 0.4623, loss_cls: 4.8439, loss: 4.8439 2023-12-24 19:21:33,736 - pyskl - INFO - Saving checkpoint at 7 epochs 2023-12-24 19:23:38,250 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 19:23:39,049 - pyskl - INFO - top1_acc 0.1463 top5_acc 0.3542 2023-12-24 19:23:39,050 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 19:23:39,101 - pyskl - INFO - mean_acc 0.1462 2023-12-24 19:23:39,115 - pyskl - INFO - Epoch(val) [7][309] top1_acc: 0.1463, top5_acc: 0.3542, mean_class_accuracy: 0.1462 2023-12-24 19:26:57,003 - pyskl - INFO - Epoch [8][100/3746] lr: 9.946e-02, eta: 3 days, 22:52:44, time: 1.979, data_time: 1.375, memory: 16177, top1_acc: 0.2245, top5_acc: 0.4645, loss_cls: 4.8402, loss: 4.8402 2023-12-24 19:27:56,901 - pyskl - INFO - Epoch [8][200/3746] lr: 9.946e-02, eta: 3 days, 22:50:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2298, top5_acc: 0.4756, loss_cls: 4.7827, loss: 4.7827 2023-12-24 19:28:56,823 - pyskl - INFO - Epoch [8][300/3746] lr: 9.945e-02, eta: 3 days, 22:48:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2303, top5_acc: 0.4695, loss_cls: 4.8267, loss: 4.8267 2023-12-24 19:29:56,958 - pyskl - INFO - Epoch [8][400/3746] lr: 9.945e-02, eta: 3 days, 22:45:44, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2342, top5_acc: 0.4788, loss_cls: 4.7721, loss: 4.7721 2023-12-24 19:30:57,276 - pyskl - INFO - Epoch [8][500/3746] lr: 9.944e-02, eta: 3 days, 22:43:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2267, top5_acc: 0.4702, loss_cls: 4.8069, loss: 4.8069 2023-12-24 19:31:57,405 - pyskl - INFO - Epoch [8][600/3746] lr: 9.944e-02, eta: 3 days, 22:41:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2386, top5_acc: 0.4731, loss_cls: 4.7957, loss: 4.7957 2023-12-24 19:32:57,498 - pyskl - INFO - Epoch [8][700/3746] lr: 9.943e-02, eta: 3 days, 22:39:01, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2253, top5_acc: 0.4692, loss_cls: 4.8103, loss: 4.8103 2023-12-24 19:33:58,316 - pyskl - INFO - Epoch [8][800/3746] lr: 9.943e-02, eta: 3 days, 22:37:00, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2241, top5_acc: 0.4688, loss_cls: 4.8316, loss: 4.8316 2023-12-24 19:34:59,728 - pyskl - INFO - Epoch [8][900/3746] lr: 9.943e-02, eta: 3 days, 22:35:12, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2317, top5_acc: 0.4856, loss_cls: 4.7711, loss: 4.7711 2023-12-24 19:36:00,818 - pyskl - INFO - Epoch [8][1000/3746] lr: 9.942e-02, eta: 3 days, 22:33:17, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2209, top5_acc: 0.4681, loss_cls: 4.8416, loss: 4.8416 2023-12-24 19:37:01,034 - pyskl - INFO - Epoch [8][1100/3746] lr: 9.942e-02, eta: 3 days, 22:31:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2278, top5_acc: 0.4763, loss_cls: 4.8037, loss: 4.8037 2023-12-24 19:38:00,761 - pyskl - INFO - Epoch [8][1200/3746] lr: 9.941e-02, eta: 3 days, 22:28:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2217, top5_acc: 0.4703, loss_cls: 4.8220, loss: 4.8220 2023-12-24 19:39:00,523 - pyskl - INFO - Epoch [8][1300/3746] lr: 9.941e-02, eta: 3 days, 22:26:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2270, top5_acc: 0.4723, loss_cls: 4.8269, loss: 4.8269 2023-12-24 19:40:00,322 - pyskl - INFO - Epoch [8][1400/3746] lr: 9.940e-02, eta: 3 days, 22:24:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2272, top5_acc: 0.4689, loss_cls: 4.8411, loss: 4.8411 2023-12-24 19:41:00,042 - pyskl - INFO - Epoch [8][1500/3746] lr: 9.940e-02, eta: 3 days, 22:21:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2348, top5_acc: 0.4778, loss_cls: 4.7990, loss: 4.7990 2023-12-24 19:41:59,809 - pyskl - INFO - Epoch [8][1600/3746] lr: 9.940e-02, eta: 3 days, 22:19:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2298, top5_acc: 0.4688, loss_cls: 4.8270, loss: 4.8270 2023-12-24 19:42:59,735 - pyskl - INFO - Epoch [8][1700/3746] lr: 9.939e-02, eta: 3 days, 22:17:20, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2202, top5_acc: 0.4661, loss_cls: 4.8461, loss: 4.8461 2023-12-24 19:43:59,551 - pyskl - INFO - Epoch [8][1800/3746] lr: 9.939e-02, eta: 3 days, 22:15:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2186, top5_acc: 0.4630, loss_cls: 4.8296, loss: 4.8296 2023-12-24 19:44:59,500 - pyskl - INFO - Epoch [8][1900/3746] lr: 9.938e-02, eta: 3 days, 22:12:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2191, top5_acc: 0.4677, loss_cls: 4.8231, loss: 4.8231 2023-12-24 19:45:59,498 - pyskl - INFO - Epoch [8][2000/3746] lr: 9.938e-02, eta: 3 days, 22:10:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2284, top5_acc: 0.4700, loss_cls: 4.8115, loss: 4.8115 2023-12-24 19:46:59,418 - pyskl - INFO - Epoch [8][2100/3746] lr: 9.937e-02, eta: 3 days, 22:08:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2169, top5_acc: 0.4509, loss_cls: 4.8755, loss: 4.8755 2023-12-24 19:47:59,147 - pyskl - INFO - Epoch [8][2200/3746] lr: 9.937e-02, eta: 3 days, 22:06:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4675, loss_cls: 4.8102, loss: 4.8102 2023-12-24 19:48:59,068 - pyskl - INFO - Epoch [8][2300/3746] lr: 9.937e-02, eta: 3 days, 22:04:06, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2311, top5_acc: 0.4738, loss_cls: 4.7618, loss: 4.7618 2023-12-24 19:49:59,178 - pyskl - INFO - Epoch [8][2400/3746] lr: 9.936e-02, eta: 3 days, 22:01:59, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2219, top5_acc: 0.4616, loss_cls: 4.8397, loss: 4.8397 2023-12-24 19:50:59,289 - pyskl - INFO - Epoch [8][2500/3746] lr: 9.936e-02, eta: 3 days, 21:59:53, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2200, top5_acc: 0.4602, loss_cls: 4.8571, loss: 4.8571 2023-12-24 19:51:59,985 - pyskl - INFO - Epoch [8][2600/3746] lr: 9.935e-02, eta: 3 days, 21:57:59, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2269, top5_acc: 0.4630, loss_cls: 4.8144, loss: 4.8144 2023-12-24 19:53:00,349 - pyskl - INFO - Epoch [8][2700/3746] lr: 9.935e-02, eta: 3 days, 21:55:58, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2356, top5_acc: 0.4723, loss_cls: 4.8112, loss: 4.8112 2023-12-24 19:54:01,121 - pyskl - INFO - Epoch [8][2800/3746] lr: 9.934e-02, eta: 3 days, 21:54:05, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2317, top5_acc: 0.4683, loss_cls: 4.8075, loss: 4.8075 2023-12-24 19:55:01,417 - pyskl - INFO - Epoch [8][2900/3746] lr: 9.934e-02, eta: 3 days, 21:52:05, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2300, top5_acc: 0.4716, loss_cls: 4.8126, loss: 4.8126 2023-12-24 19:56:01,393 - pyskl - INFO - Epoch [8][3000/3746] lr: 9.933e-02, eta: 3 days, 21:49:58, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2303, top5_acc: 0.4763, loss_cls: 4.7981, loss: 4.7981 2023-12-24 19:57:01,704 - pyskl - INFO - Epoch [8][3100/3746] lr: 9.933e-02, eta: 3 days, 21:47:58, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2217, top5_acc: 0.4686, loss_cls: 4.8531, loss: 4.8531 2023-12-24 19:58:01,675 - pyskl - INFO - Epoch [8][3200/3746] lr: 9.933e-02, eta: 3 days, 21:45:53, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2334, top5_acc: 0.4725, loss_cls: 4.7976, loss: 4.7976 2023-12-24 19:59:01,648 - pyskl - INFO - Epoch [8][3300/3746] lr: 9.932e-02, eta: 3 days, 21:43:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2267, top5_acc: 0.4722, loss_cls: 4.8137, loss: 4.8137 2023-12-24 20:00:01,403 - pyskl - INFO - Epoch [8][3400/3746] lr: 9.932e-02, eta: 3 days, 21:41:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2247, top5_acc: 0.4650, loss_cls: 4.8261, loss: 4.8261 2023-12-24 20:01:01,403 - pyskl - INFO - Epoch [8][3500/3746] lr: 9.931e-02, eta: 3 days, 21:39:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2270, top5_acc: 0.4587, loss_cls: 4.8374, loss: 4.8374 2023-12-24 20:02:01,227 - pyskl - INFO - Epoch [8][3600/3746] lr: 9.931e-02, eta: 3 days, 21:37:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2252, top5_acc: 0.4634, loss_cls: 4.8349, loss: 4.8349 2023-12-24 20:03:02,051 - pyskl - INFO - Epoch [8][3700/3746] lr: 9.930e-02, eta: 3 days, 21:35:41, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2361, top5_acc: 0.4873, loss_cls: 4.7245, loss: 4.7245 2023-12-24 20:03:32,358 - pyskl - INFO - Saving checkpoint at 8 epochs 2023-12-24 20:05:38,445 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 20:05:39,332 - pyskl - INFO - top1_acc 0.1253 top5_acc 0.2993 2023-12-24 20:05:39,332 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 20:05:39,371 - pyskl - INFO - mean_acc 0.1250 2023-12-24 20:05:39,386 - pyskl - INFO - Epoch(val) [8][309] top1_acc: 0.1253, top5_acc: 0.2993, mean_class_accuracy: 0.1250 2023-12-24 20:09:06,308 - pyskl - INFO - Epoch [9][100/3746] lr: 9.930e-02, eta: 3 days, 22:07:52, time: 2.069, data_time: 1.464, memory: 16177, top1_acc: 0.2361, top5_acc: 0.4723, loss_cls: 4.7975, loss: 4.7975 2023-12-24 20:10:06,661 - pyskl - INFO - Epoch [9][200/3746] lr: 9.929e-02, eta: 3 days, 22:05:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2336, top5_acc: 0.4838, loss_cls: 4.7624, loss: 4.7624 2023-12-24 20:11:07,285 - pyskl - INFO - Epoch [9][300/3746] lr: 9.929e-02, eta: 3 days, 22:03:51, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2403, top5_acc: 0.4814, loss_cls: 4.7572, loss: 4.7572 2023-12-24 20:12:09,135 - pyskl - INFO - Epoch [9][400/3746] lr: 9.928e-02, eta: 3 days, 22:02:15, time: 0.618, data_time: 0.000, memory: 16177, top1_acc: 0.2364, top5_acc: 0.4756, loss_cls: 4.8028, loss: 4.8028 2023-12-24 20:13:10,053 - pyskl - INFO - Epoch [9][500/3746] lr: 9.928e-02, eta: 3 days, 22:00:23, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2311, top5_acc: 0.4705, loss_cls: 4.8209, loss: 4.8209 2023-12-24 20:14:10,039 - pyskl - INFO - Epoch [9][600/3746] lr: 9.927e-02, eta: 3 days, 21:58:15, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2228, top5_acc: 0.4637, loss_cls: 4.8392, loss: 4.8392 2023-12-24 20:15:10,903 - pyskl - INFO - Epoch [9][700/3746] lr: 9.927e-02, eta: 3 days, 21:56:23, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2239, top5_acc: 0.4659, loss_cls: 4.8175, loss: 4.8175 2023-12-24 20:16:11,614 - pyskl - INFO - Epoch [9][800/3746] lr: 9.926e-02, eta: 3 days, 21:54:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2300, top5_acc: 0.4658, loss_cls: 4.8165, loss: 4.8165 2023-12-24 20:17:12,607 - pyskl - INFO - Epoch [9][900/3746] lr: 9.926e-02, eta: 3 days, 21:52:39, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4827, loss_cls: 4.7410, loss: 4.7410 2023-12-24 20:18:12,663 - pyskl - INFO - Epoch [9][1000/3746] lr: 9.925e-02, eta: 3 days, 21:50:34, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2406, top5_acc: 0.4720, loss_cls: 4.7641, loss: 4.7641 2023-12-24 20:19:12,467 - pyskl - INFO - Epoch [9][1100/3746] lr: 9.925e-02, eta: 3 days, 21:48:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2273, top5_acc: 0.4745, loss_cls: 4.8213, loss: 4.8213 2023-12-24 20:20:12,241 - pyskl - INFO - Epoch [9][1200/3746] lr: 9.924e-02, eta: 3 days, 21:46:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2266, top5_acc: 0.4734, loss_cls: 4.7934, loss: 4.7934 2023-12-24 20:21:12,815 - pyskl - INFO - Epoch [9][1300/3746] lr: 9.924e-02, eta: 3 days, 21:44:21, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2305, top5_acc: 0.4759, loss_cls: 4.7928, loss: 4.7928 2023-12-24 20:22:12,698 - pyskl - INFO - Epoch [9][1400/3746] lr: 9.923e-02, eta: 3 days, 21:42:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2270, top5_acc: 0.4695, loss_cls: 4.8017, loss: 4.8017 2023-12-24 20:23:12,972 - pyskl - INFO - Epoch [9][1500/3746] lr: 9.923e-02, eta: 3 days, 21:40:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4736, loss_cls: 4.7571, loss: 4.7571 2023-12-24 20:24:12,874 - pyskl - INFO - Epoch [9][1600/3746] lr: 9.922e-02, eta: 3 days, 21:38:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2300, top5_acc: 0.4714, loss_cls: 4.8178, loss: 4.8178 2023-12-24 20:25:12,883 - pyskl - INFO - Epoch [9][1700/3746] lr: 9.922e-02, eta: 3 days, 21:36:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2162, top5_acc: 0.4512, loss_cls: 4.8776, loss: 4.8776 2023-12-24 20:26:12,879 - pyskl - INFO - Epoch [9][1800/3746] lr: 9.921e-02, eta: 3 days, 21:34:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2377, top5_acc: 0.4823, loss_cls: 4.7452, loss: 4.7452 2023-12-24 20:27:12,638 - pyskl - INFO - Epoch [9][1900/3746] lr: 9.921e-02, eta: 3 days, 21:31:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2275, top5_acc: 0.4761, loss_cls: 4.7840, loss: 4.7840 2023-12-24 20:28:12,224 - pyskl - INFO - Epoch [9][2000/3746] lr: 9.920e-02, eta: 3 days, 21:29:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2261, top5_acc: 0.4658, loss_cls: 4.8156, loss: 4.8156 2023-12-24 20:29:11,760 - pyskl - INFO - Epoch [9][2100/3746] lr: 9.920e-02, eta: 3 days, 21:27:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2263, top5_acc: 0.4647, loss_cls: 4.7976, loss: 4.7976 2023-12-24 20:30:11,557 - pyskl - INFO - Epoch [9][2200/3746] lr: 9.919e-02, eta: 3 days, 21:25:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2228, top5_acc: 0.4702, loss_cls: 4.8179, loss: 4.8179 2023-12-24 20:31:11,364 - pyskl - INFO - Epoch [9][2300/3746] lr: 9.919e-02, eta: 3 days, 21:23:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2194, top5_acc: 0.4648, loss_cls: 4.8338, loss: 4.8338 2023-12-24 20:32:11,146 - pyskl - INFO - Epoch [9][2400/3746] lr: 9.918e-02, eta: 3 days, 21:21:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2353, top5_acc: 0.4848, loss_cls: 4.7588, loss: 4.7588 2023-12-24 20:33:10,889 - pyskl - INFO - Epoch [9][2500/3746] lr: 9.918e-02, eta: 3 days, 21:19:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2273, top5_acc: 0.4744, loss_cls: 4.7960, loss: 4.7960 2023-12-24 20:34:10,758 - pyskl - INFO - Epoch [9][2600/3746] lr: 9.917e-02, eta: 3 days, 21:17:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2308, top5_acc: 0.4730, loss_cls: 4.7983, loss: 4.7983 2023-12-24 20:35:10,742 - pyskl - INFO - Epoch [9][2700/3746] lr: 9.917e-02, eta: 3 days, 21:15:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2205, top5_acc: 0.4645, loss_cls: 4.8548, loss: 4.8548 2023-12-24 20:36:11,370 - pyskl - INFO - Epoch [9][2800/3746] lr: 9.916e-02, eta: 3 days, 21:13:32, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4764, loss_cls: 4.7697, loss: 4.7697 2023-12-24 20:37:12,468 - pyskl - INFO - Epoch [9][2900/3746] lr: 9.916e-02, eta: 3 days, 21:11:51, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4809, loss_cls: 4.7893, loss: 4.7893 2023-12-24 20:38:12,609 - pyskl - INFO - Epoch [9][3000/3746] lr: 9.915e-02, eta: 3 days, 21:09:55, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2281, top5_acc: 0.4738, loss_cls: 4.7879, loss: 4.7879 2023-12-24 20:39:12,483 - pyskl - INFO - Epoch [9][3100/3746] lr: 9.915e-02, eta: 3 days, 21:07:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2320, top5_acc: 0.4756, loss_cls: 4.7813, loss: 4.7813 2023-12-24 20:40:12,992 - pyskl - INFO - Epoch [9][3200/3746] lr: 9.914e-02, eta: 3 days, 21:06:06, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2266, top5_acc: 0.4672, loss_cls: 4.8081, loss: 4.8081 2023-12-24 20:41:13,001 - pyskl - INFO - Epoch [9][3300/3746] lr: 9.914e-02, eta: 3 days, 21:04:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2300, top5_acc: 0.4767, loss_cls: 4.7816, loss: 4.7816 2023-12-24 20:42:12,981 - pyskl - INFO - Epoch [9][3400/3746] lr: 9.913e-02, eta: 3 days, 21:02:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2333, top5_acc: 0.4783, loss_cls: 4.7696, loss: 4.7696 2023-12-24 20:43:12,353 - pyskl - INFO - Epoch [9][3500/3746] lr: 9.913e-02, eta: 3 days, 21:00:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2208, top5_acc: 0.4672, loss_cls: 4.8412, loss: 4.8412 2023-12-24 20:44:12,115 - pyskl - INFO - Epoch [9][3600/3746] lr: 9.912e-02, eta: 3 days, 20:58:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2322, top5_acc: 0.4778, loss_cls: 4.7533, loss: 4.7533 2023-12-24 20:45:12,239 - pyskl - INFO - Epoch [9][3700/3746] lr: 9.912e-02, eta: 3 days, 20:56:11, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2314, top5_acc: 0.4720, loss_cls: 4.7904, loss: 4.7904 2023-12-24 20:45:42,717 - pyskl - INFO - Saving checkpoint at 9 epochs 2023-12-24 20:47:42,920 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 20:47:43,767 - pyskl - INFO - top1_acc 0.1706 top5_acc 0.3828 2023-12-24 20:47:43,767 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 20:47:43,802 - pyskl - INFO - mean_acc 0.1703 2023-12-24 20:47:43,808 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_6.pth was removed 2023-12-24 20:47:44,059 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. 2023-12-24 20:47:44,059 - pyskl - INFO - Best top1_acc is 0.1706 at 9 epoch. 2023-12-24 20:47:44,069 - pyskl - INFO - Epoch(val) [9][309] top1_acc: 0.1706, top5_acc: 0.3828, mean_class_accuracy: 0.1703 2023-12-24 20:51:06,302 - pyskl - INFO - Epoch [10][100/3746] lr: 9.911e-02, eta: 3 days, 21:23:12, time: 2.022, data_time: 1.421, memory: 16177, top1_acc: 0.2350, top5_acc: 0.4816, loss_cls: 4.7618, loss: 4.7618 2023-12-24 20:52:06,357 - pyskl - INFO - Epoch [10][200/3746] lr: 9.910e-02, eta: 3 days, 21:21:13, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2373, top5_acc: 0.4789, loss_cls: 4.7628, loss: 4.7628 2023-12-24 20:53:05,892 - pyskl - INFO - Epoch [10][300/3746] lr: 9.910e-02, eta: 3 days, 21:19:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2380, top5_acc: 0.4744, loss_cls: 4.7735, loss: 4.7735 2023-12-24 20:54:05,677 - pyskl - INFO - Epoch [10][400/3746] lr: 9.909e-02, eta: 3 days, 21:17:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2303, top5_acc: 0.4681, loss_cls: 4.7972, loss: 4.7972 2023-12-24 20:55:05,491 - pyskl - INFO - Epoch [10][500/3746] lr: 9.909e-02, eta: 3 days, 21:14:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2369, top5_acc: 0.4844, loss_cls: 4.7524, loss: 4.7524 2023-12-24 20:56:05,201 - pyskl - INFO - Epoch [10][600/3746] lr: 9.908e-02, eta: 3 days, 21:12:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2241, top5_acc: 0.4739, loss_cls: 4.7906, loss: 4.7906 2023-12-24 20:57:05,137 - pyskl - INFO - Epoch [10][700/3746] lr: 9.908e-02, eta: 3 days, 21:10:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2277, top5_acc: 0.4780, loss_cls: 4.7858, loss: 4.7858 2023-12-24 20:58:05,272 - pyskl - INFO - Epoch [10][800/3746] lr: 9.907e-02, eta: 3 days, 21:08:59, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2281, top5_acc: 0.4741, loss_cls: 4.7892, loss: 4.7892 2023-12-24 20:59:05,318 - pyskl - INFO - Epoch [10][900/3746] lr: 9.907e-02, eta: 3 days, 21:07:02, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2327, top5_acc: 0.4755, loss_cls: 4.7895, loss: 4.7895 2023-12-24 21:00:06,358 - pyskl - INFO - Epoch [10][1000/3746] lr: 9.906e-02, eta: 3 days, 21:05:20, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2308, top5_acc: 0.4736, loss_cls: 4.7917, loss: 4.7917 2023-12-24 21:01:06,227 - pyskl - INFO - Epoch [10][1100/3746] lr: 9.906e-02, eta: 3 days, 21:03:20, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2314, top5_acc: 0.4744, loss_cls: 4.7776, loss: 4.7776 2023-12-24 21:02:06,312 - pyskl - INFO - Epoch [10][1200/3746] lr: 9.905e-02, eta: 3 days, 21:01:24, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2381, top5_acc: 0.4798, loss_cls: 4.7642, loss: 4.7642 2023-12-24 21:03:07,462 - pyskl - INFO - Epoch [10][1300/3746] lr: 9.905e-02, eta: 3 days, 20:59:44, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4859, loss_cls: 4.7563, loss: 4.7563 2023-12-24 21:04:08,640 - pyskl - INFO - Epoch [10][1400/3746] lr: 9.904e-02, eta: 3 days, 20:58:05, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2333, top5_acc: 0.4797, loss_cls: 4.7434, loss: 4.7434 2023-12-24 21:05:09,366 - pyskl - INFO - Epoch [10][1500/3746] lr: 9.903e-02, eta: 3 days, 20:56:20, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2375, top5_acc: 0.4741, loss_cls: 4.7507, loss: 4.7507 2023-12-24 21:06:09,156 - pyskl - INFO - Epoch [10][1600/3746] lr: 9.903e-02, eta: 3 days, 20:54:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4842, loss_cls: 4.7299, loss: 4.7299 2023-12-24 21:07:08,613 - pyskl - INFO - Epoch [10][1700/3746] lr: 9.902e-02, eta: 3 days, 20:52:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2253, top5_acc: 0.4695, loss_cls: 4.8218, loss: 4.8218 2023-12-24 21:08:08,636 - pyskl - INFO - Epoch [10][1800/3746] lr: 9.902e-02, eta: 3 days, 20:50:22, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2378, top5_acc: 0.4794, loss_cls: 4.7624, loss: 4.7624 2023-12-24 21:09:08,690 - pyskl - INFO - Epoch [10][1900/3746] lr: 9.901e-02, eta: 3 days, 20:48:27, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2316, top5_acc: 0.4838, loss_cls: 4.7453, loss: 4.7453 2023-12-24 21:10:08,442 - pyskl - INFO - Epoch [10][2000/3746] lr: 9.901e-02, eta: 3 days, 20:46:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2341, top5_acc: 0.4709, loss_cls: 4.7859, loss: 4.7859 2023-12-24 21:11:08,726 - pyskl - INFO - Epoch [10][2100/3746] lr: 9.900e-02, eta: 3 days, 20:44:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2333, top5_acc: 0.4780, loss_cls: 4.7658, loss: 4.7658 2023-12-24 21:12:09,744 - pyskl - INFO - Epoch [10][2200/3746] lr: 9.900e-02, eta: 3 days, 20:42:59, time: 0.610, data_time: 0.001, memory: 16177, top1_acc: 0.2323, top5_acc: 0.4758, loss_cls: 4.7891, loss: 4.7891 2023-12-24 21:13:10,558 - pyskl - INFO - Epoch [10][2300/3746] lr: 9.899e-02, eta: 3 days, 20:41:17, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2258, top5_acc: 0.4661, loss_cls: 4.8212, loss: 4.8212 2023-12-24 21:14:11,743 - pyskl - INFO - Epoch [10][2400/3746] lr: 9.898e-02, eta: 3 days, 20:39:41, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2323, top5_acc: 0.4702, loss_cls: 4.8061, loss: 4.8061 2023-12-24 21:15:11,586 - pyskl - INFO - Epoch [10][2500/3746] lr: 9.898e-02, eta: 3 days, 20:37:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2319, top5_acc: 0.4808, loss_cls: 4.7588, loss: 4.7588 2023-12-24 21:16:11,353 - pyskl - INFO - Epoch [10][2600/3746] lr: 9.897e-02, eta: 3 days, 20:35:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2311, top5_acc: 0.4827, loss_cls: 4.7804, loss: 4.7804 2023-12-24 21:17:11,167 - pyskl - INFO - Epoch [10][2700/3746] lr: 9.897e-02, eta: 3 days, 20:33:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2314, top5_acc: 0.4766, loss_cls: 4.7811, loss: 4.7811 2023-12-24 21:18:11,437 - pyskl - INFO - Epoch [10][2800/3746] lr: 9.896e-02, eta: 3 days, 20:32:04, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2280, top5_acc: 0.4702, loss_cls: 4.7896, loss: 4.7896 2023-12-24 21:19:11,318 - pyskl - INFO - Epoch [10][2900/3746] lr: 9.896e-02, eta: 3 days, 20:30:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2362, top5_acc: 0.4794, loss_cls: 4.7752, loss: 4.7752 2023-12-24 21:20:11,222 - pyskl - INFO - Epoch [10][3000/3746] lr: 9.895e-02, eta: 3 days, 20:28:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2248, top5_acc: 0.4691, loss_cls: 4.8155, loss: 4.8155 2023-12-24 21:21:10,811 - pyskl - INFO - Epoch [10][3100/3746] lr: 9.894e-02, eta: 3 days, 20:26:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4766, loss_cls: 4.7794, loss: 4.7794 2023-12-24 21:22:10,864 - pyskl - INFO - Epoch [10][3200/3746] lr: 9.894e-02, eta: 3 days, 20:24:29, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2286, top5_acc: 0.4714, loss_cls: 4.7838, loss: 4.7838 2023-12-24 21:23:10,636 - pyskl - INFO - Epoch [10][3300/3746] lr: 9.893e-02, eta: 3 days, 20:22:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2373, top5_acc: 0.4800, loss_cls: 4.7661, loss: 4.7661 2023-12-24 21:24:11,021 - pyskl - INFO - Epoch [10][3400/3746] lr: 9.893e-02, eta: 3 days, 20:20:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2392, top5_acc: 0.4791, loss_cls: 4.7793, loss: 4.7793 2023-12-24 21:25:11,004 - pyskl - INFO - Epoch [10][3500/3746] lr: 9.892e-02, eta: 3 days, 20:18:58, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2331, top5_acc: 0.4680, loss_cls: 4.8006, loss: 4.8006 2023-12-24 21:26:10,895 - pyskl - INFO - Epoch [10][3600/3746] lr: 9.892e-02, eta: 3 days, 20:17:06, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2305, top5_acc: 0.4745, loss_cls: 4.7816, loss: 4.7816 2023-12-24 21:27:11,857 - pyskl - INFO - Epoch [10][3700/3746] lr: 9.891e-02, eta: 3 days, 20:15:29, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2278, top5_acc: 0.4717, loss_cls: 4.7749, loss: 4.7749 2023-12-24 21:27:42,327 - pyskl - INFO - Saving checkpoint at 10 epochs 2023-12-24 21:29:44,837 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 21:29:45,752 - pyskl - INFO - top1_acc 0.1226 top5_acc 0.3019 2023-12-24 21:29:45,752 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 21:29:45,799 - pyskl - INFO - mean_acc 0.1224 2023-12-24 21:29:45,820 - pyskl - INFO - Epoch(val) [10][309] top1_acc: 0.1226, top5_acc: 0.3019, mean_class_accuracy: 0.1224 2023-12-24 21:33:03,943 - pyskl - INFO - Epoch [11][100/3746] lr: 9.890e-02, eta: 3 days, 20:38:32, time: 1.981, data_time: 1.379, memory: 16177, top1_acc: 0.2317, top5_acc: 0.4908, loss_cls: 4.7503, loss: 4.7503 2023-12-24 21:34:03,933 - pyskl - INFO - Epoch [11][200/3746] lr: 9.890e-02, eta: 3 days, 20:36:38, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2330, top5_acc: 0.4775, loss_cls: 4.7792, loss: 4.7792 2023-12-24 21:35:04,122 - pyskl - INFO - Epoch [11][300/3746] lr: 9.889e-02, eta: 3 days, 20:34:47, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2408, top5_acc: 0.4830, loss_cls: 4.7397, loss: 4.7397 2023-12-24 21:36:04,329 - pyskl - INFO - Epoch [11][400/3746] lr: 9.888e-02, eta: 3 days, 20:32:57, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2394, top5_acc: 0.4763, loss_cls: 4.7465, loss: 4.7465 2023-12-24 21:37:04,196 - pyskl - INFO - Epoch [11][500/3746] lr: 9.888e-02, eta: 3 days, 20:31:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2344, top5_acc: 0.4805, loss_cls: 4.7591, loss: 4.7591 2023-12-24 21:38:04,462 - pyskl - INFO - Epoch [11][600/3746] lr: 9.887e-02, eta: 3 days, 20:29:13, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2309, top5_acc: 0.4747, loss_cls: 4.7997, loss: 4.7997 2023-12-24 21:39:04,401 - pyskl - INFO - Epoch [11][700/3746] lr: 9.887e-02, eta: 3 days, 20:27:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4755, loss_cls: 4.7807, loss: 4.7807 2023-12-24 21:40:04,518 - pyskl - INFO - Epoch [11][800/3746] lr: 9.886e-02, eta: 3 days, 20:25:29, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2437, top5_acc: 0.4825, loss_cls: 4.7188, loss: 4.7188 2023-12-24 21:41:04,539 - pyskl - INFO - Epoch [11][900/3746] lr: 9.885e-02, eta: 3 days, 20:23:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2334, top5_acc: 0.4852, loss_cls: 4.7364, loss: 4.7364 2023-12-24 21:42:05,253 - pyskl - INFO - Epoch [11][1000/3746] lr: 9.885e-02, eta: 3 days, 20:21:55, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2372, top5_acc: 0.4691, loss_cls: 4.7894, loss: 4.7894 2023-12-24 21:43:05,231 - pyskl - INFO - Epoch [11][1100/3746] lr: 9.884e-02, eta: 3 days, 20:20:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2358, top5_acc: 0.4705, loss_cls: 4.7810, loss: 4.7810 2023-12-24 21:44:05,026 - pyskl - INFO - Epoch [11][1200/3746] lr: 9.884e-02, eta: 3 days, 20:18:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2334, top5_acc: 0.4784, loss_cls: 4.7497, loss: 4.7497 2023-12-24 21:45:04,684 - pyskl - INFO - Epoch [11][1300/3746] lr: 9.883e-02, eta: 3 days, 20:16:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.4825, loss_cls: 4.7393, loss: 4.7393 2023-12-24 21:46:04,547 - pyskl - INFO - Epoch [11][1400/3746] lr: 9.882e-02, eta: 3 days, 20:14:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2338, top5_acc: 0.4758, loss_cls: 4.7368, loss: 4.7368 2023-12-24 21:47:05,337 - pyskl - INFO - Epoch [11][1500/3746] lr: 9.882e-02, eta: 3 days, 20:12:42, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2397, top5_acc: 0.4780, loss_cls: 4.7378, loss: 4.7378 2023-12-24 21:48:05,245 - pyskl - INFO - Epoch [11][1600/3746] lr: 9.881e-02, eta: 3 days, 20:10:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2322, top5_acc: 0.4788, loss_cls: 4.7746, loss: 4.7746 2023-12-24 21:49:05,519 - pyskl - INFO - Epoch [11][1700/3746] lr: 9.881e-02, eta: 3 days, 20:09:05, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2408, top5_acc: 0.4844, loss_cls: 4.7342, loss: 4.7342 2023-12-24 21:50:06,321 - pyskl - INFO - Epoch [11][1800/3746] lr: 9.880e-02, eta: 3 days, 20:07:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4813, loss_cls: 4.7286, loss: 4.7286 2023-12-24 21:51:07,167 - pyskl - INFO - Epoch [11][1900/3746] lr: 9.879e-02, eta: 3 days, 20:05:48, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2455, top5_acc: 0.4817, loss_cls: 4.7641, loss: 4.7641 2023-12-24 21:52:07,736 - pyskl - INFO - Epoch [11][2000/3746] lr: 9.879e-02, eta: 3 days, 20:04:06, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2380, top5_acc: 0.4798, loss_cls: 4.7769, loss: 4.7769 2023-12-24 21:53:08,464 - pyskl - INFO - Epoch [11][2100/3746] lr: 9.878e-02, eta: 3 days, 20:02:27, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2261, top5_acc: 0.4655, loss_cls: 4.8119, loss: 4.8119 2023-12-24 21:54:08,585 - pyskl - INFO - Epoch [11][2200/3746] lr: 9.878e-02, eta: 3 days, 20:00:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2359, top5_acc: 0.4722, loss_cls: 4.7818, loss: 4.7818 2023-12-24 21:55:09,057 - pyskl - INFO - Epoch [11][2300/3746] lr: 9.877e-02, eta: 3 days, 19:58:57, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2352, top5_acc: 0.4759, loss_cls: 4.7482, loss: 4.7482 2023-12-24 21:56:10,170 - pyskl - INFO - Epoch [11][2400/3746] lr: 9.876e-02, eta: 3 days, 19:57:24, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2234, top5_acc: 0.4634, loss_cls: 4.8182, loss: 4.8182 2023-12-24 21:57:10,897 - pyskl - INFO - Epoch [11][2500/3746] lr: 9.876e-02, eta: 3 days, 19:55:45, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2239, top5_acc: 0.4728, loss_cls: 4.7912, loss: 4.7912 2023-12-24 21:58:11,651 - pyskl - INFO - Epoch [11][2600/3746] lr: 9.875e-02, eta: 3 days, 19:54:07, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2295, top5_acc: 0.4777, loss_cls: 4.7555, loss: 4.7555 2023-12-24 21:59:11,497 - pyskl - INFO - Epoch [11][2700/3746] lr: 9.874e-02, eta: 3 days, 19:52:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2383, top5_acc: 0.4767, loss_cls: 4.7580, loss: 4.7580 2023-12-24 22:00:11,485 - pyskl - INFO - Epoch [11][2800/3746] lr: 9.874e-02, eta: 3 days, 19:50:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2372, top5_acc: 0.4858, loss_cls: 4.7554, loss: 4.7554 2023-12-24 22:01:11,533 - pyskl - INFO - Epoch [11][2900/3746] lr: 9.873e-02, eta: 3 days, 19:48:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2355, top5_acc: 0.4769, loss_cls: 4.7578, loss: 4.7578 2023-12-24 22:02:11,211 - pyskl - INFO - Epoch [11][3000/3746] lr: 9.873e-02, eta: 3 days, 19:46:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2336, top5_acc: 0.4808, loss_cls: 4.7516, loss: 4.7516 2023-12-24 22:03:11,095 - pyskl - INFO - Epoch [11][3100/3746] lr: 9.872e-02, eta: 3 days, 19:45:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2322, top5_acc: 0.4684, loss_cls: 4.8230, loss: 4.8230 2023-12-24 22:04:11,259 - pyskl - INFO - Epoch [11][3200/3746] lr: 9.871e-02, eta: 3 days, 19:43:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2322, top5_acc: 0.4705, loss_cls: 4.7483, loss: 4.7483 2023-12-24 22:05:11,756 - pyskl - INFO - Epoch [11][3300/3746] lr: 9.871e-02, eta: 3 days, 19:41:40, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2275, top5_acc: 0.4766, loss_cls: 4.7852, loss: 4.7852 2023-12-24 22:06:11,853 - pyskl - INFO - Epoch [11][3400/3746] lr: 9.870e-02, eta: 3 days, 19:39:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2344, top5_acc: 0.4753, loss_cls: 4.7575, loss: 4.7575 2023-12-24 22:07:11,759 - pyskl - INFO - Epoch [11][3500/3746] lr: 9.869e-02, eta: 3 days, 19:38:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4825, loss_cls: 4.7770, loss: 4.7770 2023-12-24 22:08:11,829 - pyskl - INFO - Epoch [11][3600/3746] lr: 9.869e-02, eta: 3 days, 19:36:24, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2284, top5_acc: 0.4727, loss_cls: 4.8001, loss: 4.8001 2023-12-24 22:09:12,183 - pyskl - INFO - Epoch [11][3700/3746] lr: 9.868e-02, eta: 3 days, 19:34:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2472, top5_acc: 0.4920, loss_cls: 4.7178, loss: 4.7178 2023-12-24 22:09:43,546 - pyskl - INFO - Saving checkpoint at 11 epochs 2023-12-24 22:11:43,295 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 22:11:44,103 - pyskl - INFO - top1_acc 0.1449 top5_acc 0.3559 2023-12-24 22:11:44,103 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 22:11:44,139 - pyskl - INFO - mean_acc 0.1446 2023-12-24 22:11:44,150 - pyskl - INFO - Epoch(val) [11][309] top1_acc: 0.1449, top5_acc: 0.3559, mean_class_accuracy: 0.1446 2023-12-24 22:14:56,984 - pyskl - INFO - Epoch [12][100/3746] lr: 9.867e-02, eta: 3 days, 19:54:16, time: 1.928, data_time: 1.329, memory: 16177, top1_acc: 0.2389, top5_acc: 0.4831, loss_cls: 4.7317, loss: 4.7317 2023-12-24 22:15:57,241 - pyskl - INFO - Epoch [12][200/3746] lr: 9.867e-02, eta: 3 days, 19:52:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2303, top5_acc: 0.4853, loss_cls: 4.7528, loss: 4.7528 2023-12-24 22:16:57,459 - pyskl - INFO - Epoch [12][300/3746] lr: 9.866e-02, eta: 3 days, 19:50:46, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2358, top5_acc: 0.4820, loss_cls: 4.7337, loss: 4.7337 2023-12-24 22:17:57,279 - pyskl - INFO - Epoch [12][400/3746] lr: 9.865e-02, eta: 3 days, 19:48:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4888, loss_cls: 4.7132, loss: 4.7132 2023-12-24 22:18:57,159 - pyskl - INFO - Epoch [12][500/3746] lr: 9.865e-02, eta: 3 days, 19:47:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2398, top5_acc: 0.4844, loss_cls: 4.7451, loss: 4.7451 2023-12-24 22:19:57,116 - pyskl - INFO - Epoch [12][600/3746] lr: 9.864e-02, eta: 3 days, 19:45:19, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4795, loss_cls: 4.7627, loss: 4.7627 2023-12-24 22:20:56,812 - pyskl - INFO - Epoch [12][700/3746] lr: 9.863e-02, eta: 3 days, 19:43:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2386, top5_acc: 0.4798, loss_cls: 4.7587, loss: 4.7587 2023-12-24 22:21:56,918 - pyskl - INFO - Epoch [12][800/3746] lr: 9.863e-02, eta: 3 days, 19:41:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2384, top5_acc: 0.4891, loss_cls: 4.7209, loss: 4.7209 2023-12-24 22:22:56,774 - pyskl - INFO - Epoch [12][900/3746] lr: 9.862e-02, eta: 3 days, 19:39:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4841, loss_cls: 4.7628, loss: 4.7628 2023-12-24 22:23:56,536 - pyskl - INFO - Epoch [12][1000/3746] lr: 9.861e-02, eta: 3 days, 19:38:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2338, top5_acc: 0.4798, loss_cls: 4.7457, loss: 4.7457 2023-12-24 22:24:56,325 - pyskl - INFO - Epoch [12][1100/3746] lr: 9.861e-02, eta: 3 days, 19:36:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2383, top5_acc: 0.4802, loss_cls: 4.7356, loss: 4.7356 2023-12-24 22:25:56,310 - pyskl - INFO - Epoch [12][1200/3746] lr: 9.860e-02, eta: 3 days, 19:34:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2295, top5_acc: 0.4763, loss_cls: 4.7696, loss: 4.7696 2023-12-24 22:26:56,939 - pyskl - INFO - Epoch [12][1300/3746] lr: 9.859e-02, eta: 3 days, 19:32:52, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2369, top5_acc: 0.4875, loss_cls: 4.7294, loss: 4.7294 2023-12-24 22:27:58,108 - pyskl - INFO - Epoch [12][1400/3746] lr: 9.859e-02, eta: 3 days, 19:31:20, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2302, top5_acc: 0.4767, loss_cls: 4.7786, loss: 4.7786 2023-12-24 22:28:58,926 - pyskl - INFO - Epoch [12][1500/3746] lr: 9.858e-02, eta: 3 days, 19:29:45, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4741, loss_cls: 4.7487, loss: 4.7487 2023-12-24 22:29:58,934 - pyskl - INFO - Epoch [12][1600/3746] lr: 9.857e-02, eta: 3 days, 19:28:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2355, top5_acc: 0.4734, loss_cls: 4.7686, loss: 4.7686 2023-12-24 22:30:58,824 - pyskl - INFO - Epoch [12][1700/3746] lr: 9.857e-02, eta: 3 days, 19:26:13, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2372, top5_acc: 0.4792, loss_cls: 4.7541, loss: 4.7541 2023-12-24 22:31:59,077 - pyskl - INFO - Epoch [12][1800/3746] lr: 9.856e-02, eta: 3 days, 19:24:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2338, top5_acc: 0.4827, loss_cls: 4.7498, loss: 4.7498 2023-12-24 22:32:58,534 - pyskl - INFO - Epoch [12][1900/3746] lr: 9.855e-02, eta: 3 days, 19:22:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2295, top5_acc: 0.4717, loss_cls: 4.7842, loss: 4.7842 2023-12-24 22:33:58,521 - pyskl - INFO - Epoch [12][2000/3746] lr: 9.855e-02, eta: 3 days, 19:20:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2416, top5_acc: 0.4931, loss_cls: 4.7135, loss: 4.7135 2023-12-24 22:34:58,450 - pyskl - INFO - Epoch [12][2100/3746] lr: 9.854e-02, eta: 3 days, 19:19:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2298, top5_acc: 0.4761, loss_cls: 4.7919, loss: 4.7919 2023-12-24 22:35:59,763 - pyskl - INFO - Epoch [12][2200/3746] lr: 9.853e-02, eta: 3 days, 19:17:43, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.2322, top5_acc: 0.4716, loss_cls: 4.8103, loss: 4.8103 2023-12-24 22:37:00,466 - pyskl - INFO - Epoch [12][2300/3746] lr: 9.853e-02, eta: 3 days, 19:16:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2358, top5_acc: 0.4734, loss_cls: 4.7858, loss: 4.7858 2023-12-24 22:38:00,232 - pyskl - INFO - Epoch [12][2400/3746] lr: 9.852e-02, eta: 3 days, 19:14:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2352, top5_acc: 0.4792, loss_cls: 4.7391, loss: 4.7391 2023-12-24 22:39:00,191 - pyskl - INFO - Epoch [12][2500/3746] lr: 9.851e-02, eta: 3 days, 19:12:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2338, top5_acc: 0.4788, loss_cls: 4.7736, loss: 4.7736 2023-12-24 22:40:00,772 - pyskl - INFO - Epoch [12][2600/3746] lr: 9.851e-02, eta: 3 days, 19:11:01, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2398, top5_acc: 0.4805, loss_cls: 4.7423, loss: 4.7423 2023-12-24 22:41:01,901 - pyskl - INFO - Epoch [12][2700/3746] lr: 9.850e-02, eta: 3 days, 19:09:31, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2323, top5_acc: 0.4781, loss_cls: 4.7668, loss: 4.7668 2023-12-24 22:42:01,940 - pyskl - INFO - Epoch [12][2800/3746] lr: 9.849e-02, eta: 3 days, 19:07:49, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2409, top5_acc: 0.4803, loss_cls: 4.7230, loss: 4.7230 2023-12-24 22:43:01,613 - pyskl - INFO - Epoch [12][2900/3746] lr: 9.849e-02, eta: 3 days, 19:06:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2323, top5_acc: 0.4789, loss_cls: 4.7716, loss: 4.7716 2023-12-24 22:44:01,390 - pyskl - INFO - Epoch [12][3000/3746] lr: 9.848e-02, eta: 3 days, 19:04:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2417, top5_acc: 0.4848, loss_cls: 4.7221, loss: 4.7221 2023-12-24 22:45:01,205 - pyskl - INFO - Epoch [12][3100/3746] lr: 9.847e-02, eta: 3 days, 19:02:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2353, top5_acc: 0.4755, loss_cls: 4.7740, loss: 4.7740 2023-12-24 22:46:01,364 - pyskl - INFO - Epoch [12][3200/3746] lr: 9.847e-02, eta: 3 days, 19:00:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4848, loss_cls: 4.6955, loss: 4.6955 2023-12-24 22:47:00,967 - pyskl - INFO - Epoch [12][3300/3746] lr: 9.846e-02, eta: 3 days, 18:59:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2311, top5_acc: 0.4678, loss_cls: 4.7991, loss: 4.7991 2023-12-24 22:48:00,914 - pyskl - INFO - Epoch [12][3400/3746] lr: 9.845e-02, eta: 3 days, 18:57:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2342, top5_acc: 0.4783, loss_cls: 4.7490, loss: 4.7490 2023-12-24 22:49:00,768 - pyskl - INFO - Epoch [12][3500/3746] lr: 9.845e-02, eta: 3 days, 18:55:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2344, top5_acc: 0.4814, loss_cls: 4.7737, loss: 4.7737 2023-12-24 22:50:00,460 - pyskl - INFO - Epoch [12][3600/3746] lr: 9.844e-02, eta: 3 days, 18:53:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2356, top5_acc: 0.4934, loss_cls: 4.7235, loss: 4.7235 2023-12-24 22:51:01,432 - pyskl - INFO - Epoch [12][3700/3746] lr: 9.843e-02, eta: 3 days, 18:52:26, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2366, top5_acc: 0.4825, loss_cls: 4.7346, loss: 4.7346 2023-12-24 22:51:33,312 - pyskl - INFO - Saving checkpoint at 12 epochs 2023-12-24 22:53:28,203 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 22:53:29,080 - pyskl - INFO - top1_acc 0.1532 top5_acc 0.3605 2023-12-24 22:53:29,080 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 22:53:29,120 - pyskl - INFO - mean_acc 0.1533 2023-12-24 22:53:29,130 - pyskl - INFO - Epoch(val) [12][309] top1_acc: 0.1532, top5_acc: 0.3605, mean_class_accuracy: 0.1533 2023-12-24 22:56:45,651 - pyskl - INFO - Epoch [13][100/3746] lr: 9.842e-02, eta: 3 days, 19:10:48, time: 1.965, data_time: 1.361, memory: 16177, top1_acc: 0.2305, top5_acc: 0.4842, loss_cls: 4.7394, loss: 4.7394 2023-12-24 22:57:45,608 - pyskl - INFO - Epoch [13][200/3746] lr: 9.842e-02, eta: 3 days, 19:09:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.5000, loss_cls: 4.6578, loss: 4.6578 2023-12-24 22:58:45,677 - pyskl - INFO - Epoch [13][300/3746] lr: 9.841e-02, eta: 3 days, 19:07:21, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4883, loss_cls: 4.6885, loss: 4.6885 2023-12-24 22:59:45,491 - pyskl - INFO - Epoch [13][400/3746] lr: 9.840e-02, eta: 3 days, 19:05:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2272, top5_acc: 0.4772, loss_cls: 4.7803, loss: 4.7803 2023-12-24 23:00:45,401 - pyskl - INFO - Epoch [13][500/3746] lr: 9.839e-02, eta: 3 days, 19:03:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4872, loss_cls: 4.7027, loss: 4.7027 2023-12-24 23:01:45,259 - pyskl - INFO - Epoch [13][600/3746] lr: 9.839e-02, eta: 3 days, 19:02:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2408, top5_acc: 0.4813, loss_cls: 4.7534, loss: 4.7534 2023-12-24 23:02:45,036 - pyskl - INFO - Epoch [13][700/3746] lr: 9.838e-02, eta: 3 days, 19:00:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2370, top5_acc: 0.4769, loss_cls: 4.7358, loss: 4.7358 2023-12-24 23:03:45,003 - pyskl - INFO - Epoch [13][800/3746] lr: 9.837e-02, eta: 3 days, 18:58:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2348, top5_acc: 0.4755, loss_cls: 4.7527, loss: 4.7527 2023-12-24 23:04:44,886 - pyskl - INFO - Epoch [13][900/3746] lr: 9.837e-02, eta: 3 days, 18:56:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2352, top5_acc: 0.4873, loss_cls: 4.7308, loss: 4.7308 2023-12-24 23:05:44,814 - pyskl - INFO - Epoch [13][1000/3746] lr: 9.836e-02, eta: 3 days, 18:55:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2364, top5_acc: 0.4875, loss_cls: 4.7170, loss: 4.7170 2023-12-24 23:06:44,557 - pyskl - INFO - Epoch [13][1100/3746] lr: 9.835e-02, eta: 3 days, 18:53:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4977, loss_cls: 4.6829, loss: 4.6829 2023-12-24 23:07:44,527 - pyskl - INFO - Epoch [13][1200/3746] lr: 9.834e-02, eta: 3 days, 18:51:45, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2364, top5_acc: 0.4767, loss_cls: 4.7594, loss: 4.7594 2023-12-24 23:08:44,275 - pyskl - INFO - Epoch [13][1300/3746] lr: 9.834e-02, eta: 3 days, 18:50:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2420, top5_acc: 0.4825, loss_cls: 4.7217, loss: 4.7217 2023-12-24 23:09:44,032 - pyskl - INFO - Epoch [13][1400/3746] lr: 9.833e-02, eta: 3 days, 18:48:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2367, top5_acc: 0.4766, loss_cls: 4.7966, loss: 4.7966 2023-12-24 23:10:43,981 - pyskl - INFO - Epoch [13][1500/3746] lr: 9.832e-02, eta: 3 days, 18:46:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4808, loss_cls: 4.7548, loss: 4.7548 2023-12-24 23:11:44,175 - pyskl - INFO - Epoch [13][1600/3746] lr: 9.832e-02, eta: 3 days, 18:44:56, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2348, top5_acc: 0.4767, loss_cls: 4.7587, loss: 4.7587 2023-12-24 23:12:43,779 - pyskl - INFO - Epoch [13][1700/3746] lr: 9.831e-02, eta: 3 days, 18:43:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2361, top5_acc: 0.4730, loss_cls: 4.7621, loss: 4.7621 2023-12-24 23:13:43,678 - pyskl - INFO - Epoch [13][1800/3746] lr: 9.830e-02, eta: 3 days, 18:41:29, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2378, top5_acc: 0.4828, loss_cls: 4.7632, loss: 4.7632 2023-12-24 23:14:43,524 - pyskl - INFO - Epoch [13][1900/3746] lr: 9.829e-02, eta: 3 days, 18:39:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2367, top5_acc: 0.4780, loss_cls: 4.7547, loss: 4.7547 2023-12-24 23:15:43,260 - pyskl - INFO - Epoch [13][2000/3746] lr: 9.829e-02, eta: 3 days, 18:38:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2266, top5_acc: 0.4786, loss_cls: 4.7829, loss: 4.7829 2023-12-24 23:16:44,199 - pyskl - INFO - Epoch [13][2100/3746] lr: 9.828e-02, eta: 3 days, 18:36:34, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2336, top5_acc: 0.4706, loss_cls: 4.7753, loss: 4.7753 2023-12-24 23:17:45,428 - pyskl - INFO - Epoch [13][2200/3746] lr: 9.827e-02, eta: 3 days, 18:35:07, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2387, top5_acc: 0.4877, loss_cls: 4.7235, loss: 4.7235 2023-12-24 23:18:46,615 - pyskl - INFO - Epoch [13][2300/3746] lr: 9.827e-02, eta: 3 days, 18:33:40, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2378, top5_acc: 0.4852, loss_cls: 4.7286, loss: 4.7286 2023-12-24 23:19:47,528 - pyskl - INFO - Epoch [13][2400/3746] lr: 9.826e-02, eta: 3 days, 18:32:10, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4823, loss_cls: 4.7188, loss: 4.7188 2023-12-24 23:20:48,339 - pyskl - INFO - Epoch [13][2500/3746] lr: 9.825e-02, eta: 3 days, 18:30:40, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2322, top5_acc: 0.4814, loss_cls: 4.7711, loss: 4.7711 2023-12-24 23:21:49,196 - pyskl - INFO - Epoch [13][2600/3746] lr: 9.824e-02, eta: 3 days, 18:29:09, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2466, top5_acc: 0.4842, loss_cls: 4.7370, loss: 4.7370 2023-12-24 23:22:49,932 - pyskl - INFO - Epoch [13][2700/3746] lr: 9.824e-02, eta: 3 days, 18:27:38, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2317, top5_acc: 0.4769, loss_cls: 4.7586, loss: 4.7586 2023-12-24 23:23:50,058 - pyskl - INFO - Epoch [13][2800/3746] lr: 9.823e-02, eta: 3 days, 18:26:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2353, top5_acc: 0.4795, loss_cls: 4.7539, loss: 4.7539 2023-12-24 23:24:49,528 - pyskl - INFO - Epoch [13][2900/3746] lr: 9.822e-02, eta: 3 days, 18:24:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2328, top5_acc: 0.4825, loss_cls: 4.7682, loss: 4.7682 2023-12-24 23:25:48,992 - pyskl - INFO - Epoch [13][3000/3746] lr: 9.821e-02, eta: 3 days, 18:22:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2344, top5_acc: 0.4794, loss_cls: 4.7804, loss: 4.7804 2023-12-24 23:26:48,604 - pyskl - INFO - Epoch [13][3100/3746] lr: 9.821e-02, eta: 3 days, 18:20:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2364, top5_acc: 0.4861, loss_cls: 4.7301, loss: 4.7301 2023-12-24 23:27:48,358 - pyskl - INFO - Epoch [13][3200/3746] lr: 9.820e-02, eta: 3 days, 18:19:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4864, loss_cls: 4.7183, loss: 4.7183 2023-12-24 23:28:48,241 - pyskl - INFO - Epoch [13][3300/3746] lr: 9.819e-02, eta: 3 days, 18:17:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2361, top5_acc: 0.4784, loss_cls: 4.7414, loss: 4.7414 2023-12-24 23:29:47,963 - pyskl - INFO - Epoch [13][3400/3746] lr: 9.818e-02, eta: 3 days, 18:15:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2352, top5_acc: 0.4789, loss_cls: 4.7619, loss: 4.7619 2023-12-24 23:30:47,812 - pyskl - INFO - Epoch [13][3500/3746] lr: 9.818e-02, eta: 3 days, 18:14:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4853, loss_cls: 4.7177, loss: 4.7177 2023-12-24 23:31:47,934 - pyskl - INFO - Epoch [13][3600/3746] lr: 9.817e-02, eta: 3 days, 18:12:30, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2384, top5_acc: 0.4858, loss_cls: 4.7423, loss: 4.7423 2023-12-24 23:32:48,504 - pyskl - INFO - Epoch [13][3700/3746] lr: 9.816e-02, eta: 3 days, 18:10:59, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2297, top5_acc: 0.4773, loss_cls: 4.7662, loss: 4.7662 2023-12-24 23:33:19,574 - pyskl - INFO - Saving checkpoint at 13 epochs 2023-12-24 23:35:17,587 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 23:35:18,693 - pyskl - INFO - top1_acc 0.1716 top5_acc 0.3868 2023-12-24 23:35:18,694 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 23:35:18,738 - pyskl - INFO - mean_acc 0.1717 2023-12-24 23:35:18,745 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_9.pth was removed 2023-12-24 23:35:19,041 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. 2023-12-24 23:35:19,042 - pyskl - INFO - Best top1_acc is 0.1716 at 13 epoch. 2023-12-24 23:35:19,054 - pyskl - INFO - Epoch(val) [13][309] top1_acc: 0.1716, top5_acc: 0.3868, mean_class_accuracy: 0.1717 2023-12-24 23:38:35,106 - pyskl - INFO - Epoch [14][100/3746] lr: 9.815e-02, eta: 3 days, 18:27:36, time: 1.960, data_time: 1.361, memory: 16177, top1_acc: 0.2530, top5_acc: 0.4969, loss_cls: 4.6924, loss: 4.6924 2023-12-24 23:39:35,265 - pyskl - INFO - Epoch [14][200/3746] lr: 9.814e-02, eta: 3 days, 18:25:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2300, top5_acc: 0.4827, loss_cls: 4.7111, loss: 4.7111 2023-12-24 23:40:35,061 - pyskl - INFO - Epoch [14][300/3746] lr: 9.814e-02, eta: 3 days, 18:24:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2456, top5_acc: 0.4902, loss_cls: 4.7073, loss: 4.7073 2023-12-24 23:41:35,050 - pyskl - INFO - Epoch [14][400/3746] lr: 9.813e-02, eta: 3 days, 18:22:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4888, loss_cls: 4.7262, loss: 4.7262 2023-12-24 23:42:34,723 - pyskl - INFO - Epoch [14][500/3746] lr: 9.812e-02, eta: 3 days, 18:20:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4931, loss_cls: 4.6941, loss: 4.6941 2023-12-24 23:43:34,197 - pyskl - INFO - Epoch [14][600/3746] lr: 9.811e-02, eta: 3 days, 18:19:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4853, loss_cls: 4.7211, loss: 4.7211 2023-12-24 23:44:33,907 - pyskl - INFO - Epoch [14][700/3746] lr: 9.811e-02, eta: 3 days, 18:17:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2400, top5_acc: 0.4822, loss_cls: 4.7438, loss: 4.7438 2023-12-24 23:45:34,057 - pyskl - INFO - Epoch [14][800/3746] lr: 9.810e-02, eta: 3 days, 18:15:50, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4834, loss_cls: 4.7272, loss: 4.7272 2023-12-24 23:46:34,559 - pyskl - INFO - Epoch [14][900/3746] lr: 9.809e-02, eta: 3 days, 18:14:16, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2444, top5_acc: 0.4823, loss_cls: 4.7227, loss: 4.7227 2023-12-24 23:47:35,426 - pyskl - INFO - Epoch [14][1000/3746] lr: 9.808e-02, eta: 3 days, 18:12:47, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4825, loss_cls: 4.7055, loss: 4.7055 2023-12-24 23:48:36,550 - pyskl - INFO - Epoch [14][1100/3746] lr: 9.807e-02, eta: 3 days, 18:11:20, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2344, top5_acc: 0.4819, loss_cls: 4.7468, loss: 4.7468 2023-12-24 23:49:36,464 - pyskl - INFO - Epoch [14][1200/3746] lr: 9.807e-02, eta: 3 days, 18:09:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2350, top5_acc: 0.4739, loss_cls: 4.7714, loss: 4.7714 2023-12-24 23:50:36,807 - pyskl - INFO - Epoch [14][1300/3746] lr: 9.806e-02, eta: 3 days, 18:08:06, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2417, top5_acc: 0.4836, loss_cls: 4.7061, loss: 4.7061 2023-12-24 23:51:37,348 - pyskl - INFO - Epoch [14][1400/3746] lr: 9.805e-02, eta: 3 days, 18:06:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4923, loss_cls: 4.7100, loss: 4.7100 2023-12-24 23:52:37,346 - pyskl - INFO - Epoch [14][1500/3746] lr: 9.804e-02, eta: 3 days, 18:04:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4895, loss_cls: 4.7035, loss: 4.7035 2023-12-24 23:53:37,425 - pyskl - INFO - Epoch [14][1600/3746] lr: 9.804e-02, eta: 3 days, 18:03:19, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2528, top5_acc: 0.4964, loss_cls: 4.6790, loss: 4.6790 2023-12-24 23:54:37,166 - pyskl - INFO - Epoch [14][1700/3746] lr: 9.803e-02, eta: 3 days, 18:01:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2347, top5_acc: 0.4758, loss_cls: 4.7693, loss: 4.7693 2023-12-24 23:55:37,492 - pyskl - INFO - Epoch [14][1800/3746] lr: 9.802e-02, eta: 3 days, 18:00:04, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2281, top5_acc: 0.4714, loss_cls: 4.7959, loss: 4.7959 2023-12-24 23:56:37,555 - pyskl - INFO - Epoch [14][1900/3746] lr: 9.801e-02, eta: 3 days, 17:58:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2383, top5_acc: 0.4767, loss_cls: 4.7552, loss: 4.7552 2023-12-24 23:57:37,484 - pyskl - INFO - Epoch [14][2000/3746] lr: 9.800e-02, eta: 3 days, 17:56:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2314, top5_acc: 0.4700, loss_cls: 4.7914, loss: 4.7914 2023-12-24 23:58:37,131 - pyskl - INFO - Epoch [14][2100/3746] lr: 9.800e-02, eta: 3 days, 17:55:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2352, top5_acc: 0.4733, loss_cls: 4.7615, loss: 4.7615 2023-12-24 23:59:37,029 - pyskl - INFO - Epoch [14][2200/3746] lr: 9.799e-02, eta: 3 days, 17:53:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2433, top5_acc: 0.4845, loss_cls: 4.7247, loss: 4.7247 2023-12-25 00:00:36,742 - pyskl - INFO - Epoch [14][2300/3746] lr: 9.798e-02, eta: 3 days, 17:51:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2472, top5_acc: 0.4905, loss_cls: 4.6945, loss: 4.6945 2023-12-25 00:01:37,074 - pyskl - INFO - Epoch [14][2400/3746] lr: 9.797e-02, eta: 3 days, 17:50:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2328, top5_acc: 0.4734, loss_cls: 4.7589, loss: 4.7589 2023-12-25 00:02:37,069 - pyskl - INFO - Epoch [14][2500/3746] lr: 9.797e-02, eta: 3 days, 17:48:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2362, top5_acc: 0.4800, loss_cls: 4.7532, loss: 4.7532 2023-12-25 00:03:36,637 - pyskl - INFO - Epoch [14][2600/3746] lr: 9.796e-02, eta: 3 days, 17:47:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4856, loss_cls: 4.7544, loss: 4.7544 2023-12-25 00:04:36,506 - pyskl - INFO - Epoch [14][2700/3746] lr: 9.795e-02, eta: 3 days, 17:45:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4817, loss_cls: 4.7607, loss: 4.7607 2023-12-25 00:05:35,936 - pyskl - INFO - Epoch [14][2800/3746] lr: 9.794e-02, eta: 3 days, 17:43:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2325, top5_acc: 0.4767, loss_cls: 4.7319, loss: 4.7319 2023-12-25 00:06:36,259 - pyskl - INFO - Epoch [14][2900/3746] lr: 9.793e-02, eta: 3 days, 17:42:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2339, top5_acc: 0.4920, loss_cls: 4.7332, loss: 4.7332 2023-12-25 00:07:36,388 - pyskl - INFO - Epoch [14][3000/3746] lr: 9.793e-02, eta: 3 days, 17:40:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2328, top5_acc: 0.4778, loss_cls: 4.7422, loss: 4.7422 2023-12-25 00:08:36,430 - pyskl - INFO - Epoch [14][3100/3746] lr: 9.792e-02, eta: 3 days, 17:39:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4811, loss_cls: 4.7572, loss: 4.7572 2023-12-25 00:09:36,629 - pyskl - INFO - Epoch [14][3200/3746] lr: 9.791e-02, eta: 3 days, 17:37:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2286, top5_acc: 0.4733, loss_cls: 4.7675, loss: 4.7675 2023-12-25 00:10:36,610 - pyskl - INFO - Epoch [14][3300/3746] lr: 9.790e-02, eta: 3 days, 17:35:52, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2394, top5_acc: 0.4753, loss_cls: 4.7432, loss: 4.7432 2023-12-25 00:11:36,475 - pyskl - INFO - Epoch [14][3400/3746] lr: 9.789e-02, eta: 3 days, 17:34:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2398, top5_acc: 0.4795, loss_cls: 4.7410, loss: 4.7410 2023-12-25 00:12:36,220 - pyskl - INFO - Epoch [14][3500/3746] lr: 9.789e-02, eta: 3 days, 17:32:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2398, top5_acc: 0.4911, loss_cls: 4.7117, loss: 4.7117 2023-12-25 00:13:36,004 - pyskl - INFO - Epoch [14][3600/3746] lr: 9.788e-02, eta: 3 days, 17:31:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2394, top5_acc: 0.4795, loss_cls: 4.7381, loss: 4.7381 2023-12-25 00:14:36,831 - pyskl - INFO - Epoch [14][3700/3746] lr: 9.787e-02, eta: 3 days, 17:29:34, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2338, top5_acc: 0.4802, loss_cls: 4.7511, loss: 4.7511 2023-12-25 00:15:07,211 - pyskl - INFO - Saving checkpoint at 14 epochs 2023-12-25 00:17:05,441 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 00:17:06,501 - pyskl - INFO - top1_acc 0.1733 top5_acc 0.3897 2023-12-25 00:17:06,501 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 00:17:06,544 - pyskl - INFO - mean_acc 0.1731 2023-12-25 00:17:06,554 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_13.pth was removed 2023-12-25 00:17:06,924 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. 2023-12-25 00:17:06,925 - pyskl - INFO - Best top1_acc is 0.1733 at 14 epoch. 2023-12-25 00:17:06,936 - pyskl - INFO - Epoch(val) [14][309] top1_acc: 0.1733, top5_acc: 0.3897, mean_class_accuracy: 0.1731 2023-12-25 00:20:22,898 - pyskl - INFO - Epoch [15][100/3746] lr: 9.786e-02, eta: 3 days, 17:44:46, time: 1.960, data_time: 1.364, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4853, loss_cls: 4.6990, loss: 4.6990 2023-12-25 00:21:23,077 - pyskl - INFO - Epoch [15][200/3746] lr: 9.785e-02, eta: 3 days, 17:43:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2378, top5_acc: 0.4803, loss_cls: 4.7261, loss: 4.7261 2023-12-25 00:22:23,115 - pyskl - INFO - Epoch [15][300/3746] lr: 9.784e-02, eta: 3 days, 17:41:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2442, top5_acc: 0.4791, loss_cls: 4.7179, loss: 4.7179 2023-12-25 00:23:22,813 - pyskl - INFO - Epoch [15][400/3746] lr: 9.783e-02, eta: 3 days, 17:39:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2355, top5_acc: 0.4802, loss_cls: 4.7320, loss: 4.7320 2023-12-25 00:24:22,235 - pyskl - INFO - Epoch [15][500/3746] lr: 9.783e-02, eta: 3 days, 17:38:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2366, top5_acc: 0.4820, loss_cls: 4.7348, loss: 4.7348 2023-12-25 00:25:22,015 - pyskl - INFO - Epoch [15][600/3746] lr: 9.782e-02, eta: 3 days, 17:36:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2448, top5_acc: 0.4913, loss_cls: 4.7000, loss: 4.7000 2023-12-25 00:26:21,896 - pyskl - INFO - Epoch [15][700/3746] lr: 9.781e-02, eta: 3 days, 17:34:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2383, top5_acc: 0.4772, loss_cls: 4.7376, loss: 4.7376 2023-12-25 00:27:21,719 - pyskl - INFO - Epoch [15][800/3746] lr: 9.780e-02, eta: 3 days, 17:33:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2414, top5_acc: 0.4803, loss_cls: 4.7668, loss: 4.7668 2023-12-25 00:28:21,762 - pyskl - INFO - Epoch [15][900/3746] lr: 9.779e-02, eta: 3 days, 17:31:46, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2380, top5_acc: 0.4902, loss_cls: 4.7314, loss: 4.7314 2023-12-25 00:29:21,653 - pyskl - INFO - Epoch [15][1000/3746] lr: 9.778e-02, eta: 3 days, 17:30:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2303, top5_acc: 0.4794, loss_cls: 4.7651, loss: 4.7651 2023-12-25 00:30:21,643 - pyskl - INFO - Epoch [15][1100/3746] lr: 9.778e-02, eta: 3 days, 17:28:34, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2394, top5_acc: 0.4819, loss_cls: 4.7432, loss: 4.7432 2023-12-25 00:31:21,543 - pyskl - INFO - Epoch [15][1200/3746] lr: 9.777e-02, eta: 3 days, 17:26:58, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2319, top5_acc: 0.4909, loss_cls: 4.7339, loss: 4.7339 2023-12-25 00:32:21,839 - pyskl - INFO - Epoch [15][1300/3746] lr: 9.776e-02, eta: 3 days, 17:25:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4861, loss_cls: 4.7080, loss: 4.7080 2023-12-25 00:33:21,717 - pyskl - INFO - Epoch [15][1400/3746] lr: 9.775e-02, eta: 3 days, 17:23:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4859, loss_cls: 4.7188, loss: 4.7188 2023-12-25 00:34:21,918 - pyskl - INFO - Epoch [15][1500/3746] lr: 9.774e-02, eta: 3 days, 17:22:17, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4917, loss_cls: 4.6760, loss: 4.6760 2023-12-25 00:35:21,918 - pyskl - INFO - Epoch [15][1600/3746] lr: 9.773e-02, eta: 3 days, 17:20:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2466, top5_acc: 0.4973, loss_cls: 4.6762, loss: 4.6762 2023-12-25 00:36:23,395 - pyskl - INFO - Epoch [15][1700/3746] lr: 9.773e-02, eta: 3 days, 17:19:21, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.2350, top5_acc: 0.4794, loss_cls: 4.7123, loss: 4.7123 2023-12-25 00:37:23,774 - pyskl - INFO - Epoch [15][1800/3746] lr: 9.772e-02, eta: 3 days, 17:17:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4897, loss_cls: 4.6906, loss: 4.6906 2023-12-25 00:38:24,119 - pyskl - INFO - Epoch [15][1900/3746] lr: 9.771e-02, eta: 3 days, 17:16:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2322, top5_acc: 0.4852, loss_cls: 4.7433, loss: 4.7433 2023-12-25 00:39:24,408 - pyskl - INFO - Epoch [15][2000/3746] lr: 9.770e-02, eta: 3 days, 17:14:47, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2472, top5_acc: 0.4931, loss_cls: 4.7005, loss: 4.7005 2023-12-25 00:40:24,303 - pyskl - INFO - Epoch [15][2100/3746] lr: 9.769e-02, eta: 3 days, 17:13:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2412, top5_acc: 0.4864, loss_cls: 4.7146, loss: 4.7146 2023-12-25 00:41:24,385 - pyskl - INFO - Epoch [15][2200/3746] lr: 9.768e-02, eta: 3 days, 17:11:39, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2373, top5_acc: 0.4755, loss_cls: 4.7949, loss: 4.7949 2023-12-25 00:42:24,411 - pyskl - INFO - Epoch [15][2300/3746] lr: 9.768e-02, eta: 3 days, 17:10:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4870, loss_cls: 4.7125, loss: 4.7125 2023-12-25 00:43:24,495 - pyskl - INFO - Epoch [15][2400/3746] lr: 9.767e-02, eta: 3 days, 17:08:32, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4969, loss_cls: 4.6812, loss: 4.6812 2023-12-25 00:44:24,401 - pyskl - INFO - Epoch [15][2500/3746] lr: 9.766e-02, eta: 3 days, 17:06:58, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4958, loss_cls: 4.6872, loss: 4.6872 2023-12-25 00:45:24,359 - pyskl - INFO - Epoch [15][2600/3746] lr: 9.765e-02, eta: 3 days, 17:05:24, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4859, loss_cls: 4.7293, loss: 4.7293 2023-12-25 00:46:24,456 - pyskl - INFO - Epoch [15][2700/3746] lr: 9.764e-02, eta: 3 days, 17:03:51, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2367, top5_acc: 0.4903, loss_cls: 4.7270, loss: 4.7270 2023-12-25 00:47:24,518 - pyskl - INFO - Epoch [15][2800/3746] lr: 9.763e-02, eta: 3 days, 17:02:19, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4869, loss_cls: 4.7168, loss: 4.7168 2023-12-25 00:48:24,525 - pyskl - INFO - Epoch [15][2900/3746] lr: 9.763e-02, eta: 3 days, 17:00:46, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2309, top5_acc: 0.4803, loss_cls: 4.7607, loss: 4.7607 2023-12-25 00:49:24,189 - pyskl - INFO - Epoch [15][3000/3746] lr: 9.762e-02, eta: 3 days, 16:59:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2373, top5_acc: 0.4838, loss_cls: 4.7307, loss: 4.7307 2023-12-25 00:50:24,766 - pyskl - INFO - Epoch [15][3100/3746] lr: 9.761e-02, eta: 3 days, 16:57:42, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4898, loss_cls: 4.6795, loss: 4.6795 2023-12-25 00:51:24,568 - pyskl - INFO - Epoch [15][3200/3746] lr: 9.760e-02, eta: 3 days, 16:56:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2384, top5_acc: 0.4806, loss_cls: 4.7435, loss: 4.7435 2023-12-25 00:52:24,349 - pyskl - INFO - Epoch [15][3300/3746] lr: 9.759e-02, eta: 3 days, 16:54:32, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2437, top5_acc: 0.4775, loss_cls: 4.7329, loss: 4.7329 2023-12-25 00:53:24,210 - pyskl - INFO - Epoch [15][3400/3746] lr: 9.758e-02, eta: 3 days, 16:52:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.4891, loss_cls: 4.7197, loss: 4.7197 2023-12-25 00:54:24,439 - pyskl - INFO - Epoch [15][3500/3746] lr: 9.757e-02, eta: 3 days, 16:51:28, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2350, top5_acc: 0.4834, loss_cls: 4.7548, loss: 4.7548 2023-12-25 00:55:25,474 - pyskl - INFO - Epoch [15][3600/3746] lr: 9.757e-02, eta: 3 days, 16:50:05, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2350, top5_acc: 0.4750, loss_cls: 4.7453, loss: 4.7453 2023-12-25 00:56:26,165 - pyskl - INFO - Epoch [15][3700/3746] lr: 9.756e-02, eta: 3 days, 16:48:39, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2436, top5_acc: 0.4811, loss_cls: 4.7261, loss: 4.7261 2023-12-25 00:56:56,867 - pyskl - INFO - Saving checkpoint at 15 epochs 2023-12-25 00:58:56,462 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 00:58:57,281 - pyskl - INFO - top1_acc 0.1742 top5_acc 0.3961 2023-12-25 00:58:57,282 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 00:58:57,315 - pyskl - INFO - mean_acc 0.1740 2023-12-25 00:58:57,321 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_14.pth was removed 2023-12-25 00:58:57,598 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. 2023-12-25 00:58:57,598 - pyskl - INFO - Best top1_acc is 0.1742 at 15 epoch. 2023-12-25 00:58:57,605 - pyskl - INFO - Epoch(val) [15][309] top1_acc: 0.1742, top5_acc: 0.3961, mean_class_accuracy: 0.1740 2023-12-25 01:02:15,216 - pyskl - INFO - Epoch [16][100/3746] lr: 9.754e-02, eta: 3 days, 17:02:53, time: 1.976, data_time: 1.382, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4927, loss_cls: 4.6635, loss: 4.6635 2023-12-25 01:03:15,348 - pyskl - INFO - Epoch [16][200/3746] lr: 9.754e-02, eta: 3 days, 17:01:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2397, top5_acc: 0.4920, loss_cls: 4.7266, loss: 4.7266 2023-12-25 01:04:15,317 - pyskl - INFO - Epoch [16][300/3746] lr: 9.753e-02, eta: 3 days, 16:59:46, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4914, loss_cls: 4.7072, loss: 4.7072 2023-12-25 01:05:15,292 - pyskl - INFO - Epoch [16][400/3746] lr: 9.752e-02, eta: 3 days, 16:58:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2420, top5_acc: 0.4947, loss_cls: 4.6946, loss: 4.6946 2023-12-25 01:06:14,866 - pyskl - INFO - Epoch [16][500/3746] lr: 9.751e-02, eta: 3 days, 16:56:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2383, top5_acc: 0.4908, loss_cls: 4.7099, loss: 4.7099 2023-12-25 01:07:14,658 - pyskl - INFO - Epoch [16][600/3746] lr: 9.750e-02, eta: 3 days, 16:54:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4789, loss_cls: 4.7350, loss: 4.7350 2023-12-25 01:08:14,816 - pyskl - INFO - Epoch [16][700/3746] lr: 9.749e-02, eta: 3 days, 16:53:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2405, top5_acc: 0.4833, loss_cls: 4.7341, loss: 4.7341 2023-12-25 01:09:14,893 - pyskl - INFO - Epoch [16][800/3746] lr: 9.748e-02, eta: 3 days, 16:51:55, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2300, top5_acc: 0.4745, loss_cls: 4.7673, loss: 4.7673 2023-12-25 01:10:15,147 - pyskl - INFO - Epoch [16][900/3746] lr: 9.747e-02, eta: 3 days, 16:50:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2394, top5_acc: 0.4903, loss_cls: 4.6968, loss: 4.6968 2023-12-25 01:11:15,423 - pyskl - INFO - Epoch [16][1000/3746] lr: 9.747e-02, eta: 3 days, 16:48:54, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4877, loss_cls: 4.7092, loss: 4.7092 2023-12-25 01:12:15,468 - pyskl - INFO - Epoch [16][1100/3746] lr: 9.746e-02, eta: 3 days, 16:47:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4916, loss_cls: 4.7089, loss: 4.7089 2023-12-25 01:13:15,283 - pyskl - INFO - Epoch [16][1200/3746] lr: 9.745e-02, eta: 3 days, 16:45:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2339, top5_acc: 0.4891, loss_cls: 4.7408, loss: 4.7408 2023-12-25 01:14:15,829 - pyskl - INFO - Epoch [16][1300/3746] lr: 9.744e-02, eta: 3 days, 16:44:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4980, loss_cls: 4.6595, loss: 4.6595 2023-12-25 01:15:16,347 - pyskl - INFO - Epoch [16][1400/3746] lr: 9.743e-02, eta: 3 days, 16:42:51, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2325, top5_acc: 0.4778, loss_cls: 4.7752, loss: 4.7752 2023-12-25 01:16:16,199 - pyskl - INFO - Epoch [16][1500/3746] lr: 9.742e-02, eta: 3 days, 16:41:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4842, loss_cls: 4.7336, loss: 4.7336 2023-12-25 01:17:16,063 - pyskl - INFO - Epoch [16][1600/3746] lr: 9.741e-02, eta: 3 days, 16:39:44, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2375, top5_acc: 0.4811, loss_cls: 4.7356, loss: 4.7356 2023-12-25 01:18:15,884 - pyskl - INFO - Epoch [16][1700/3746] lr: 9.740e-02, eta: 3 days, 16:38:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4959, loss_cls: 4.6833, loss: 4.6833 2023-12-25 01:19:15,629 - pyskl - INFO - Epoch [16][1800/3746] lr: 9.740e-02, eta: 3 days, 16:36:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2383, top5_acc: 0.4905, loss_cls: 4.7069, loss: 4.7069 2023-12-25 01:20:15,462 - pyskl - INFO - Epoch [16][1900/3746] lr: 9.739e-02, eta: 3 days, 16:35:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4903, loss_cls: 4.6782, loss: 4.6782 2023-12-25 01:21:15,363 - pyskl - INFO - Epoch [16][2000/3746] lr: 9.738e-02, eta: 3 days, 16:33:29, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4897, loss_cls: 4.7156, loss: 4.7156 2023-12-25 01:22:15,598 - pyskl - INFO - Epoch [16][2100/3746] lr: 9.737e-02, eta: 3 days, 16:32:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2328, top5_acc: 0.4848, loss_cls: 4.7091, loss: 4.7091 2023-12-25 01:23:15,935 - pyskl - INFO - Epoch [16][2200/3746] lr: 9.736e-02, eta: 3 days, 16:30:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2428, top5_acc: 0.4884, loss_cls: 4.7020, loss: 4.7020 2023-12-25 01:24:16,100 - pyskl - INFO - Epoch [16][2300/3746] lr: 9.735e-02, eta: 3 days, 16:29:01, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4963, loss_cls: 4.6992, loss: 4.6992 2023-12-25 01:25:16,251 - pyskl - INFO - Epoch [16][2400/3746] lr: 9.734e-02, eta: 3 days, 16:27:31, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4886, loss_cls: 4.7031, loss: 4.7031 2023-12-25 01:26:16,813 - pyskl - INFO - Epoch [16][2500/3746] lr: 9.733e-02, eta: 3 days, 16:26:04, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2347, top5_acc: 0.4753, loss_cls: 4.7384, loss: 4.7384 2023-12-25 01:27:17,319 - pyskl - INFO - Epoch [16][2600/3746] lr: 9.732e-02, eta: 3 days, 16:24:37, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4916, loss_cls: 4.7385, loss: 4.7385 2023-12-25 01:28:18,055 - pyskl - INFO - Epoch [16][2700/3746] lr: 9.731e-02, eta: 3 days, 16:23:12, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2459, top5_acc: 0.4963, loss_cls: 4.6976, loss: 4.6976 2023-12-25 01:29:18,618 - pyskl - INFO - Epoch [16][2800/3746] lr: 9.731e-02, eta: 3 days, 16:21:46, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2505, top5_acc: 0.4908, loss_cls: 4.6667, loss: 4.6667 2023-12-25 01:30:19,211 - pyskl - INFO - Epoch [16][2900/3746] lr: 9.730e-02, eta: 3 days, 16:20:20, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2387, top5_acc: 0.4805, loss_cls: 4.7540, loss: 4.7540 2023-12-25 01:31:19,089 - pyskl - INFO - Epoch [16][3000/3746] lr: 9.729e-02, eta: 3 days, 16:18:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4847, loss_cls: 4.7136, loss: 4.7136 2023-12-25 01:32:18,912 - pyskl - INFO - Epoch [16][3100/3746] lr: 9.728e-02, eta: 3 days, 16:17:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2347, top5_acc: 0.4903, loss_cls: 4.7404, loss: 4.7404 2023-12-25 01:33:20,036 - pyskl - INFO - Epoch [16][3200/3746] lr: 9.727e-02, eta: 3 days, 16:15:55, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.4903, loss_cls: 4.6858, loss: 4.6858 2023-12-25 01:34:20,606 - pyskl - INFO - Epoch [16][3300/3746] lr: 9.726e-02, eta: 3 days, 16:14:29, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4870, loss_cls: 4.7150, loss: 4.7150 2023-12-25 01:35:20,458 - pyskl - INFO - Epoch [16][3400/3746] lr: 9.725e-02, eta: 3 days, 16:12:58, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2366, top5_acc: 0.4798, loss_cls: 4.7523, loss: 4.7523 2023-12-25 01:36:20,174 - pyskl - INFO - Epoch [16][3500/3746] lr: 9.724e-02, eta: 3 days, 16:11:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2356, top5_acc: 0.4817, loss_cls: 4.7267, loss: 4.7267 2023-12-25 01:37:19,649 - pyskl - INFO - Epoch [16][3600/3746] lr: 9.723e-02, eta: 3 days, 16:09:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2375, top5_acc: 0.4850, loss_cls: 4.7303, loss: 4.7303 2023-12-25 01:38:20,125 - pyskl - INFO - Epoch [16][3700/3746] lr: 9.722e-02, eta: 3 days, 16:08:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2366, top5_acc: 0.4936, loss_cls: 4.7025, loss: 4.7025 2023-12-25 01:38:50,797 - pyskl - INFO - Saving checkpoint at 16 epochs 2023-12-25 01:40:51,161 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 01:40:52,255 - pyskl - INFO - top1_acc 0.1672 top5_acc 0.3868 2023-12-25 01:40:52,255 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 01:40:52,293 - pyskl - INFO - mean_acc 0.1670 2023-12-25 01:40:52,301 - pyskl - INFO - Epoch(val) [16][309] top1_acc: 0.1672, top5_acc: 0.3868, mean_class_accuracy: 0.1670 2023-12-25 01:44:05,029 - pyskl - INFO - Epoch [17][100/3746] lr: 9.721e-02, eta: 3 days, 16:20:51, time: 1.927, data_time: 1.331, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4892, loss_cls: 4.6862, loss: 4.6862 2023-12-25 01:45:05,290 - pyskl - INFO - Epoch [17][200/3746] lr: 9.720e-02, eta: 3 days, 16:19:22, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2444, top5_acc: 0.4984, loss_cls: 4.6743, loss: 4.6743 2023-12-25 01:46:05,624 - pyskl - INFO - Epoch [17][300/3746] lr: 9.719e-02, eta: 3 days, 16:17:53, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2350, top5_acc: 0.4864, loss_cls: 4.7179, loss: 4.7179 2023-12-25 01:47:05,292 - pyskl - INFO - Epoch [17][400/3746] lr: 9.718e-02, eta: 3 days, 16:16:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5003, loss_cls: 4.6494, loss: 4.6494 2023-12-25 01:48:05,463 - pyskl - INFO - Epoch [17][500/3746] lr: 9.717e-02, eta: 3 days, 16:14:49, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4827, loss_cls: 4.7121, loss: 4.7121 2023-12-25 01:49:04,935 - pyskl - INFO - Epoch [17][600/3746] lr: 9.716e-02, eta: 3 days, 16:13:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.4894, loss_cls: 4.7061, loss: 4.7061 2023-12-25 01:50:04,610 - pyskl - INFO - Epoch [17][700/3746] lr: 9.715e-02, eta: 3 days, 16:11:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2423, top5_acc: 0.4842, loss_cls: 4.7061, loss: 4.7061 2023-12-25 01:51:04,409 - pyskl - INFO - Epoch [17][800/3746] lr: 9.714e-02, eta: 3 days, 16:10:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4897, loss_cls: 4.6992, loss: 4.6992 2023-12-25 01:52:04,164 - pyskl - INFO - Epoch [17][900/3746] lr: 9.714e-02, eta: 3 days, 16:08:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2405, top5_acc: 0.4761, loss_cls: 4.7321, loss: 4.7321 2023-12-25 01:53:04,218 - pyskl - INFO - Epoch [17][1000/3746] lr: 9.713e-02, eta: 3 days, 16:07:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4900, loss_cls: 4.7031, loss: 4.7031 2023-12-25 01:54:04,213 - pyskl - INFO - Epoch [17][1100/3746] lr: 9.712e-02, eta: 3 days, 16:05:34, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4920, loss_cls: 4.6620, loss: 4.6620 2023-12-25 01:55:04,265 - pyskl - INFO - Epoch [17][1200/3746] lr: 9.711e-02, eta: 3 days, 16:04:04, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2406, top5_acc: 0.4844, loss_cls: 4.7338, loss: 4.7338 2023-12-25 01:56:03,966 - pyskl - INFO - Epoch [17][1300/3746] lr: 9.710e-02, eta: 3 days, 16:02:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2387, top5_acc: 0.4838, loss_cls: 4.7250, loss: 4.7250 2023-12-25 01:57:03,803 - pyskl - INFO - Epoch [17][1400/3746] lr: 9.709e-02, eta: 3 days, 16:00:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4836, loss_cls: 4.6971, loss: 4.6971 2023-12-25 01:58:03,615 - pyskl - INFO - Epoch [17][1500/3746] lr: 9.708e-02, eta: 3 days, 15:59:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2497, top5_acc: 0.4852, loss_cls: 4.7179, loss: 4.7179 2023-12-25 01:59:03,357 - pyskl - INFO - Epoch [17][1600/3746] lr: 9.707e-02, eta: 3 days, 15:57:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4909, loss_cls: 4.6894, loss: 4.6894 2023-12-25 02:00:03,230 - pyskl - INFO - Epoch [17][1700/3746] lr: 9.706e-02, eta: 3 days, 15:56:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2431, top5_acc: 0.4792, loss_cls: 4.7157, loss: 4.7157 2023-12-25 02:01:03,037 - pyskl - INFO - Epoch [17][1800/3746] lr: 9.705e-02, eta: 3 days, 15:54:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4900, loss_cls: 4.7037, loss: 4.7037 2023-12-25 02:02:03,252 - pyskl - INFO - Epoch [17][1900/3746] lr: 9.704e-02, eta: 3 days, 15:53:25, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2380, top5_acc: 0.4880, loss_cls: 4.6996, loss: 4.6996 2023-12-25 02:03:03,451 - pyskl - INFO - Epoch [17][2000/3746] lr: 9.703e-02, eta: 3 days, 15:51:57, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2389, top5_acc: 0.4795, loss_cls: 4.7577, loss: 4.7577 2023-12-25 02:04:03,979 - pyskl - INFO - Epoch [17][2100/3746] lr: 9.702e-02, eta: 3 days, 15:50:32, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2372, top5_acc: 0.4788, loss_cls: 4.7273, loss: 4.7273 2023-12-25 02:05:04,652 - pyskl - INFO - Epoch [17][2200/3746] lr: 9.701e-02, eta: 3 days, 15:49:07, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4859, loss_cls: 4.7142, loss: 4.7142 2023-12-25 02:06:05,689 - pyskl - INFO - Epoch [17][2300/3746] lr: 9.700e-02, eta: 3 days, 15:47:46, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2316, top5_acc: 0.4795, loss_cls: 4.7584, loss: 4.7584 2023-12-25 02:07:05,610 - pyskl - INFO - Epoch [17][2400/3746] lr: 9.699e-02, eta: 3 days, 15:46:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2380, top5_acc: 0.4789, loss_cls: 4.7336, loss: 4.7336 2023-12-25 02:08:05,590 - pyskl - INFO - Epoch [17][2500/3746] lr: 9.698e-02, eta: 3 days, 15:44:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4873, loss_cls: 4.7076, loss: 4.7076 2023-12-25 02:09:05,982 - pyskl - INFO - Epoch [17][2600/3746] lr: 9.697e-02, eta: 3 days, 15:43:21, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.4917, loss_cls: 4.6818, loss: 4.6818 2023-12-25 02:10:06,460 - pyskl - INFO - Epoch [17][2700/3746] lr: 9.697e-02, eta: 3 days, 15:41:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4809, loss_cls: 4.7079, loss: 4.7079 2023-12-25 02:11:07,581 - pyskl - INFO - Epoch [17][2800/3746] lr: 9.696e-02, eta: 3 days, 15:40:36, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2448, top5_acc: 0.4903, loss_cls: 4.7008, loss: 4.7008 2023-12-25 02:12:08,757 - pyskl - INFO - Epoch [17][2900/3746] lr: 9.695e-02, eta: 3 days, 15:39:16, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.4902, loss_cls: 4.6897, loss: 4.6897 2023-12-25 02:13:09,411 - pyskl - INFO - Epoch [17][3000/3746] lr: 9.694e-02, eta: 3 days, 15:37:52, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4945, loss_cls: 4.6807, loss: 4.6807 2023-12-25 02:14:10,228 - pyskl - INFO - Epoch [17][3100/3746] lr: 9.693e-02, eta: 3 days, 15:36:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2391, top5_acc: 0.4839, loss_cls: 4.7163, loss: 4.7163 2023-12-25 02:15:10,506 - pyskl - INFO - Epoch [17][3200/3746] lr: 9.692e-02, eta: 3 days, 15:35:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2441, top5_acc: 0.4809, loss_cls: 4.7377, loss: 4.7377 2023-12-25 02:16:10,806 - pyskl - INFO - Epoch [17][3300/3746] lr: 9.691e-02, eta: 3 days, 15:33:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2428, top5_acc: 0.4861, loss_cls: 4.7162, loss: 4.7162 2023-12-25 02:17:10,662 - pyskl - INFO - Epoch [17][3400/3746] lr: 9.690e-02, eta: 3 days, 15:32:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2350, top5_acc: 0.4720, loss_cls: 4.7657, loss: 4.7657 2023-12-25 02:18:10,397 - pyskl - INFO - Epoch [17][3500/3746] lr: 9.689e-02, eta: 3 days, 15:30:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2423, top5_acc: 0.4931, loss_cls: 4.6958, loss: 4.6958 2023-12-25 02:19:10,776 - pyskl - INFO - Epoch [17][3600/3746] lr: 9.688e-02, eta: 3 days, 15:29:12, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2441, top5_acc: 0.4900, loss_cls: 4.7116, loss: 4.7116 2023-12-25 02:20:11,245 - pyskl - INFO - Epoch [17][3700/3746] lr: 9.687e-02, eta: 3 days, 15:27:47, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4897, loss_cls: 4.7012, loss: 4.7012 2023-12-25 02:20:41,695 - pyskl - INFO - Saving checkpoint at 17 epochs 2023-12-25 02:22:37,949 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 02:22:38,845 - pyskl - INFO - top1_acc 0.1491 top5_acc 0.3504 2023-12-25 02:22:38,846 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 02:22:38,893 - pyskl - INFO - mean_acc 0.1489 2023-12-25 02:22:38,906 - pyskl - INFO - Epoch(val) [17][309] top1_acc: 0.1491, top5_acc: 0.3504, mean_class_accuracy: 0.1489 2023-12-25 02:25:53,462 - pyskl - INFO - Epoch [18][100/3746] lr: 9.685e-02, eta: 3 days, 15:39:34, time: 1.945, data_time: 1.346, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4961, loss_cls: 4.6639, loss: 4.6639 2023-12-25 02:26:53,773 - pyskl - INFO - Epoch [18][200/3746] lr: 9.684e-02, eta: 3 days, 15:38:07, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2380, top5_acc: 0.4870, loss_cls: 4.7097, loss: 4.7097 2023-12-25 02:27:53,810 - pyskl - INFO - Epoch [18][300/3746] lr: 9.683e-02, eta: 3 days, 15:36:38, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2448, top5_acc: 0.4873, loss_cls: 4.6902, loss: 4.6902 2023-12-25 02:28:53,397 - pyskl - INFO - Epoch [18][400/3746] lr: 9.683e-02, eta: 3 days, 15:35:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.4941, loss_cls: 4.6614, loss: 4.6614 2023-12-25 02:29:53,148 - pyskl - INFO - Epoch [18][500/3746] lr: 9.682e-02, eta: 3 days, 15:33:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.4948, loss_cls: 4.6712, loss: 4.6712 2023-12-25 02:30:52,943 - pyskl - INFO - Epoch [18][600/3746] lr: 9.681e-02, eta: 3 days, 15:32:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4831, loss_cls: 4.6832, loss: 4.6832 2023-12-25 02:31:52,805 - pyskl - INFO - Epoch [18][700/3746] lr: 9.680e-02, eta: 3 days, 15:30:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2416, top5_acc: 0.4856, loss_cls: 4.7091, loss: 4.7091 2023-12-25 02:32:52,520 - pyskl - INFO - Epoch [18][800/3746] lr: 9.679e-02, eta: 3 days, 15:29:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4905, loss_cls: 4.6935, loss: 4.6935 2023-12-25 02:33:52,258 - pyskl - INFO - Epoch [18][900/3746] lr: 9.678e-02, eta: 3 days, 15:27:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4892, loss_cls: 4.7081, loss: 4.7081 2023-12-25 02:34:51,991 - pyskl - INFO - Epoch [18][1000/3746] lr: 9.677e-02, eta: 3 days, 15:26:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4816, loss_cls: 4.7263, loss: 4.7263 2023-12-25 02:35:51,756 - pyskl - INFO - Epoch [18][1100/3746] lr: 9.676e-02, eta: 3 days, 15:24:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2420, top5_acc: 0.4867, loss_cls: 4.7477, loss: 4.7477 2023-12-25 02:36:51,611 - pyskl - INFO - Epoch [18][1200/3746] lr: 9.675e-02, eta: 3 days, 15:23:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2456, top5_acc: 0.4895, loss_cls: 4.6917, loss: 4.6917 2023-12-25 02:37:51,240 - pyskl - INFO - Epoch [18][1300/3746] lr: 9.674e-02, eta: 3 days, 15:21:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2333, top5_acc: 0.4795, loss_cls: 4.7320, loss: 4.7320 2023-12-25 02:38:51,021 - pyskl - INFO - Epoch [18][1400/3746] lr: 9.673e-02, eta: 3 days, 15:19:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4889, loss_cls: 4.6990, loss: 4.6990 2023-12-25 02:39:51,149 - pyskl - INFO - Epoch [18][1500/3746] lr: 9.672e-02, eta: 3 days, 15:18:31, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.4828, loss_cls: 4.7069, loss: 4.7069 2023-12-25 02:40:51,288 - pyskl - INFO - Epoch [18][1600/3746] lr: 9.671e-02, eta: 3 days, 15:17:04, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.5019, loss_cls: 4.6729, loss: 4.6729 2023-12-25 02:41:51,532 - pyskl - INFO - Epoch [18][1700/3746] lr: 9.670e-02, eta: 3 days, 15:15:38, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2292, top5_acc: 0.4795, loss_cls: 4.7580, loss: 4.7580 2023-12-25 02:42:51,499 - pyskl - INFO - Epoch [18][1800/3746] lr: 9.669e-02, eta: 3 days, 15:14:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.4970, loss_cls: 4.6737, loss: 4.6737 2023-12-25 02:43:51,589 - pyskl - INFO - Epoch [18][1900/3746] lr: 9.668e-02, eta: 3 days, 15:12:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4830, loss_cls: 4.7268, loss: 4.7268 2023-12-25 02:44:51,639 - pyskl - INFO - Epoch [18][2000/3746] lr: 9.667e-02, eta: 3 days, 15:11:15, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2353, top5_acc: 0.4828, loss_cls: 4.7491, loss: 4.7491 2023-12-25 02:45:52,010 - pyskl - INFO - Epoch [18][2100/3746] lr: 9.666e-02, eta: 3 days, 15:09:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2303, top5_acc: 0.4847, loss_cls: 4.7463, loss: 4.7463 2023-12-25 02:46:51,717 - pyskl - INFO - Epoch [18][2200/3746] lr: 9.665e-02, eta: 3 days, 15:08:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4913, loss_cls: 4.6990, loss: 4.6990 2023-12-25 02:47:51,489 - pyskl - INFO - Epoch [18][2300/3746] lr: 9.664e-02, eta: 3 days, 15:06:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4952, loss_cls: 4.6750, loss: 4.6750 2023-12-25 02:48:51,231 - pyskl - INFO - Epoch [18][2400/3746] lr: 9.663e-02, eta: 3 days, 15:05:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2364, top5_acc: 0.4813, loss_cls: 4.7562, loss: 4.7562 2023-12-25 02:49:50,987 - pyskl - INFO - Epoch [18][2500/3746] lr: 9.662e-02, eta: 3 days, 15:03:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2430, top5_acc: 0.4763, loss_cls: 4.7360, loss: 4.7360 2023-12-25 02:50:51,220 - pyskl - INFO - Epoch [18][2600/3746] lr: 9.661e-02, eta: 3 days, 15:02:26, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2448, top5_acc: 0.4870, loss_cls: 4.7244, loss: 4.7244 2023-12-25 02:51:51,240 - pyskl - INFO - Epoch [18][2700/3746] lr: 9.660e-02, eta: 3 days, 15:00:59, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2373, top5_acc: 0.4855, loss_cls: 4.7338, loss: 4.7338 2023-12-25 02:52:51,235 - pyskl - INFO - Epoch [18][2800/3746] lr: 9.659e-02, eta: 3 days, 14:59:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2417, top5_acc: 0.4845, loss_cls: 4.7066, loss: 4.7066 2023-12-25 02:53:51,387 - pyskl - INFO - Epoch [18][2900/3746] lr: 9.658e-02, eta: 3 days, 14:58:06, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4869, loss_cls: 4.7363, loss: 4.7363 2023-12-25 02:54:51,223 - pyskl - INFO - Epoch [18][3000/3746] lr: 9.657e-02, eta: 3 days, 14:56:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.4928, loss_cls: 4.6861, loss: 4.6861 2023-12-25 02:55:51,594 - pyskl - INFO - Epoch [18][3100/3746] lr: 9.656e-02, eta: 3 days, 14:55:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4856, loss_cls: 4.7232, loss: 4.7232 2023-12-25 02:56:52,723 - pyskl - INFO - Epoch [18][3200/3746] lr: 9.654e-02, eta: 3 days, 14:53:55, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.4923, loss_cls: 4.6678, loss: 4.6678 2023-12-25 02:57:53,005 - pyskl - INFO - Epoch [18][3300/3746] lr: 9.653e-02, eta: 3 days, 14:52:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2384, top5_acc: 0.4842, loss_cls: 4.7322, loss: 4.7322 2023-12-25 02:58:52,743 - pyskl - INFO - Epoch [18][3400/3746] lr: 9.652e-02, eta: 3 days, 14:51:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2389, top5_acc: 0.4913, loss_cls: 4.7158, loss: 4.7158 2023-12-25 02:59:52,791 - pyskl - INFO - Epoch [18][3500/3746] lr: 9.651e-02, eta: 3 days, 14:49:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2403, top5_acc: 0.4859, loss_cls: 4.7093, loss: 4.7093 2023-12-25 03:00:52,539 - pyskl - INFO - Epoch [18][3600/3746] lr: 9.650e-02, eta: 3 days, 14:48:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.4927, loss_cls: 4.6747, loss: 4.6747 2023-12-25 03:01:52,526 - pyskl - INFO - Epoch [18][3700/3746] lr: 9.649e-02, eta: 3 days, 14:46:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2414, top5_acc: 0.4809, loss_cls: 4.7129, loss: 4.7129 2023-12-25 03:02:23,151 - pyskl - INFO - Saving checkpoint at 18 epochs 2023-12-25 03:04:22,692 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 03:04:23,516 - pyskl - INFO - top1_acc 0.1842 top5_acc 0.4094 2023-12-25 03:04:23,516 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 03:04:23,549 - pyskl - INFO - mean_acc 0.1840 2023-12-25 03:04:23,555 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_15.pth was removed 2023-12-25 03:04:23,802 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. 2023-12-25 03:04:23,803 - pyskl - INFO - Best top1_acc is 0.1842 at 18 epoch. 2023-12-25 03:04:23,812 - pyskl - INFO - Epoch(val) [18][309] top1_acc: 0.1842, top5_acc: 0.4094, mean_class_accuracy: 0.1840 2023-12-25 03:07:36,797 - pyskl - INFO - Epoch [19][100/3746] lr: 9.648e-02, eta: 3 days, 14:57:25, time: 1.930, data_time: 1.325, memory: 16177, top1_acc: 0.2409, top5_acc: 0.4850, loss_cls: 4.7204, loss: 4.7204 2023-12-25 03:08:36,985 - pyskl - INFO - Epoch [19][200/3746] lr: 9.647e-02, eta: 3 days, 14:55:59, time: 0.602, data_time: 0.001, memory: 16177, top1_acc: 0.2397, top5_acc: 0.4936, loss_cls: 4.6925, loss: 4.6925 2023-12-25 03:09:37,500 - pyskl - INFO - Epoch [19][300/3746] lr: 9.646e-02, eta: 3 days, 14:54:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2441, top5_acc: 0.4969, loss_cls: 4.6606, loss: 4.6606 2023-12-25 03:10:37,491 - pyskl - INFO - Epoch [19][400/3746] lr: 9.645e-02, eta: 3 days, 14:53:08, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2428, top5_acc: 0.4856, loss_cls: 4.6975, loss: 4.6975 2023-12-25 03:11:38,856 - pyskl - INFO - Epoch [19][500/3746] lr: 9.644e-02, eta: 3 days, 14:51:50, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.4925, loss_cls: 4.6756, loss: 4.6756 2023-12-25 03:12:40,209 - pyskl - INFO - Epoch [19][600/3746] lr: 9.643e-02, eta: 3 days, 14:50:33, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.4931, loss_cls: 4.6670, loss: 4.6670 2023-12-25 03:13:41,374 - pyskl - INFO - Epoch [19][700/3746] lr: 9.642e-02, eta: 3 days, 14:49:14, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4939, loss_cls: 4.6950, loss: 4.6950 2023-12-25 03:14:42,393 - pyskl - INFO - Epoch [19][800/3746] lr: 9.641e-02, eta: 3 days, 14:47:54, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.4909, loss_cls: 4.6635, loss: 4.6635 2023-12-25 03:15:43,385 - pyskl - INFO - Epoch [19][900/3746] lr: 9.640e-02, eta: 3 days, 14:46:34, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2477, top5_acc: 0.4903, loss_cls: 4.6979, loss: 4.6979 2023-12-25 03:16:44,621 - pyskl - INFO - Epoch [19][1000/3746] lr: 9.639e-02, eta: 3 days, 14:45:16, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.4939, loss_cls: 4.6984, loss: 4.6984 2023-12-25 03:17:45,855 - pyskl - INFO - Epoch [19][1100/3746] lr: 9.637e-02, eta: 3 days, 14:43:58, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2330, top5_acc: 0.4836, loss_cls: 4.7389, loss: 4.7389 2023-12-25 03:18:47,060 - pyskl - INFO - Epoch [19][1200/3746] lr: 9.636e-02, eta: 3 days, 14:42:40, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2494, top5_acc: 0.4908, loss_cls: 4.6833, loss: 4.6833 2023-12-25 03:19:47,644 - pyskl - INFO - Epoch [19][1300/3746] lr: 9.635e-02, eta: 3 days, 14:41:17, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4964, loss_cls: 4.6919, loss: 4.6919 2023-12-25 03:20:47,934 - pyskl - INFO - Epoch [19][1400/3746] lr: 9.634e-02, eta: 3 days, 14:39:52, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2433, top5_acc: 0.4845, loss_cls: 4.7412, loss: 4.7412 2023-12-25 03:21:47,743 - pyskl - INFO - Epoch [19][1500/3746] lr: 9.633e-02, eta: 3 days, 14:38:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2356, top5_acc: 0.4841, loss_cls: 4.7342, loss: 4.7342 2023-12-25 03:22:47,984 - pyskl - INFO - Epoch [19][1600/3746] lr: 9.632e-02, eta: 3 days, 14:36:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.4953, loss_cls: 4.6858, loss: 4.6858 2023-12-25 03:23:48,430 - pyskl - INFO - Epoch [19][1700/3746] lr: 9.631e-02, eta: 3 days, 14:35:36, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2414, top5_acc: 0.4800, loss_cls: 4.7169, loss: 4.7169 2023-12-25 03:24:48,381 - pyskl - INFO - Epoch [19][1800/3746] lr: 9.630e-02, eta: 3 days, 14:34:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.4842, loss_cls: 4.6946, loss: 4.6946 2023-12-25 03:25:48,507 - pyskl - INFO - Epoch [19][1900/3746] lr: 9.629e-02, eta: 3 days, 14:32:44, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4780, loss_cls: 4.7365, loss: 4.7365 2023-12-25 03:26:48,273 - pyskl - INFO - Epoch [19][2000/3746] lr: 9.628e-02, eta: 3 days, 14:31:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.4998, loss_cls: 4.6777, loss: 4.6777 2023-12-25 03:27:48,201 - pyskl - INFO - Epoch [19][2100/3746] lr: 9.627e-02, eta: 3 days, 14:29:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2367, top5_acc: 0.4841, loss_cls: 4.7166, loss: 4.7166 2023-12-25 03:28:49,415 - pyskl - INFO - Epoch [19][2200/3746] lr: 9.626e-02, eta: 3 days, 14:28:31, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4873, loss_cls: 4.7004, loss: 4.7004 2023-12-25 03:29:50,028 - pyskl - INFO - Epoch [19][2300/3746] lr: 9.625e-02, eta: 3 days, 14:27:09, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2448, top5_acc: 0.4816, loss_cls: 4.7133, loss: 4.7133 2023-12-25 03:30:50,951 - pyskl - INFO - Epoch [19][2400/3746] lr: 9.624e-02, eta: 3 days, 14:25:50, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2387, top5_acc: 0.4808, loss_cls: 4.7282, loss: 4.7282 2023-12-25 03:31:52,004 - pyskl - INFO - Epoch [19][2500/3746] lr: 9.623e-02, eta: 3 days, 14:24:31, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2356, top5_acc: 0.4880, loss_cls: 4.7277, loss: 4.7277 2023-12-25 03:32:52,075 - pyskl - INFO - Epoch [19][2600/3746] lr: 9.622e-02, eta: 3 days, 14:23:06, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4938, loss_cls: 4.6862, loss: 4.6862 2023-12-25 03:33:51,659 - pyskl - INFO - Epoch [19][2700/3746] lr: 9.621e-02, eta: 3 days, 14:21:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4827, loss_cls: 4.7216, loss: 4.7216 2023-12-25 03:34:51,176 - pyskl - INFO - Epoch [19][2800/3746] lr: 9.620e-02, eta: 3 days, 14:20:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2389, top5_acc: 0.4861, loss_cls: 4.7119, loss: 4.7119 2023-12-25 03:35:50,875 - pyskl - INFO - Epoch [19][2900/3746] lr: 9.618e-02, eta: 3 days, 14:18:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2359, top5_acc: 0.4842, loss_cls: 4.7339, loss: 4.7339 2023-12-25 03:36:51,129 - pyskl - INFO - Epoch [19][3000/3746] lr: 9.617e-02, eta: 3 days, 14:17:16, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4992, loss_cls: 4.6815, loss: 4.6815 2023-12-25 03:37:51,174 - pyskl - INFO - Epoch [19][3100/3746] lr: 9.616e-02, eta: 3 days, 14:15:51, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.4939, loss_cls: 4.6725, loss: 4.6725 2023-12-25 03:38:51,284 - pyskl - INFO - Epoch [19][3200/3746] lr: 9.615e-02, eta: 3 days, 14:14:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5080, loss_cls: 4.6182, loss: 4.6182 2023-12-25 03:39:51,257 - pyskl - INFO - Epoch [19][3300/3746] lr: 9.614e-02, eta: 3 days, 14:13:01, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.4814, loss_cls: 4.7186, loss: 4.7186 2023-12-25 03:40:51,597 - pyskl - INFO - Epoch [19][3400/3746] lr: 9.613e-02, eta: 3 days, 14:11:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4911, loss_cls: 4.6858, loss: 4.6858 2023-12-25 03:41:52,127 - pyskl - INFO - Epoch [19][3500/3746] lr: 9.612e-02, eta: 3 days, 14:10:16, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4963, loss_cls: 4.6811, loss: 4.6811 2023-12-25 03:42:52,852 - pyskl - INFO - Epoch [19][3600/3746] lr: 9.611e-02, eta: 3 days, 14:08:56, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.4880, loss_cls: 4.7142, loss: 4.7142 2023-12-25 03:43:53,425 - pyskl - INFO - Epoch [19][3700/3746] lr: 9.610e-02, eta: 3 days, 14:07:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2430, top5_acc: 0.4892, loss_cls: 4.6980, loss: 4.6980 2023-12-25 03:44:24,484 - pyskl - INFO - Saving checkpoint at 19 epochs 2023-12-25 03:46:21,216 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 03:46:22,015 - pyskl - INFO - top1_acc 0.1645 top5_acc 0.3848 2023-12-25 03:46:22,015 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 03:46:22,048 - pyskl - INFO - mean_acc 0.1644 2023-12-25 03:46:22,056 - pyskl - INFO - Epoch(val) [19][309] top1_acc: 0.1645, top5_acc: 0.3848, mean_class_accuracy: 0.1644 2023-12-25 03:49:29,940 - pyskl - INFO - Epoch [20][100/3746] lr: 9.608e-02, eta: 3 days, 14:17:01, time: 1.879, data_time: 1.278, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4998, loss_cls: 4.6627, loss: 4.6627 2023-12-25 03:50:29,931 - pyskl - INFO - Epoch [20][200/3746] lr: 9.607e-02, eta: 3 days, 14:15:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5075, loss_cls: 4.6306, loss: 4.6306 2023-12-25 03:51:30,110 - pyskl - INFO - Epoch [20][300/3746] lr: 9.606e-02, eta: 3 days, 14:14:10, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2437, top5_acc: 0.5044, loss_cls: 4.6515, loss: 4.6515 2023-12-25 03:52:30,289 - pyskl - INFO - Epoch [20][400/3746] lr: 9.605e-02, eta: 3 days, 14:12:45, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2406, top5_acc: 0.5006, loss_cls: 4.6791, loss: 4.6791 2023-12-25 03:53:30,527 - pyskl - INFO - Epoch [20][500/3746] lr: 9.604e-02, eta: 3 days, 14:11:21, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4852, loss_cls: 4.7031, loss: 4.7031 2023-12-25 03:54:30,093 - pyskl - INFO - Epoch [20][600/3746] lr: 9.603e-02, eta: 3 days, 14:09:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4989, loss_cls: 4.6716, loss: 4.6716 2023-12-25 03:55:30,161 - pyskl - INFO - Epoch [20][700/3746] lr: 9.602e-02, eta: 3 days, 14:08:27, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2400, top5_acc: 0.4927, loss_cls: 4.6843, loss: 4.6843 2023-12-25 03:56:29,762 - pyskl - INFO - Epoch [20][800/3746] lr: 9.601e-02, eta: 3 days, 14:06:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4852, loss_cls: 4.7379, loss: 4.7379 2023-12-25 03:57:29,542 - pyskl - INFO - Epoch [20][900/3746] lr: 9.600e-02, eta: 3 days, 14:05:32, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4870, loss_cls: 4.7265, loss: 4.7265 2023-12-25 03:58:30,126 - pyskl - INFO - Epoch [20][1000/3746] lr: 9.598e-02, eta: 3 days, 14:04:10, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.5033, loss_cls: 4.6602, loss: 4.6602 2023-12-25 03:59:29,941 - pyskl - INFO - Epoch [20][1100/3746] lr: 9.597e-02, eta: 3 days, 14:02:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2366, top5_acc: 0.4952, loss_cls: 4.6976, loss: 4.6976 2023-12-25 04:00:30,429 - pyskl - INFO - Epoch [20][1200/3746] lr: 9.596e-02, eta: 3 days, 14:01:21, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4903, loss_cls: 4.6867, loss: 4.6867 2023-12-25 04:01:31,470 - pyskl - INFO - Epoch [20][1300/3746] lr: 9.595e-02, eta: 3 days, 14:00:03, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2425, top5_acc: 0.4827, loss_cls: 4.7090, loss: 4.7090 2023-12-25 04:02:32,273 - pyskl - INFO - Epoch [20][1400/3746] lr: 9.594e-02, eta: 3 days, 13:58:43, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4928, loss_cls: 4.6772, loss: 4.6772 2023-12-25 04:03:32,256 - pyskl - INFO - Epoch [20][1500/3746] lr: 9.593e-02, eta: 3 days, 13:57:18, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.5050, loss_cls: 4.6731, loss: 4.6731 2023-12-25 04:04:32,730 - pyskl - INFO - Epoch [20][1600/3746] lr: 9.592e-02, eta: 3 days, 13:55:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2362, top5_acc: 0.4758, loss_cls: 4.7406, loss: 4.7406 2023-12-25 04:05:33,191 - pyskl - INFO - Epoch [20][1700/3746] lr: 9.591e-02, eta: 3 days, 13:54:34, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2378, top5_acc: 0.4814, loss_cls: 4.7349, loss: 4.7349 2023-12-25 04:06:33,232 - pyskl - INFO - Epoch [20][1800/3746] lr: 9.590e-02, eta: 3 days, 13:53:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4963, loss_cls: 4.6399, loss: 4.6399 2023-12-25 04:07:33,335 - pyskl - INFO - Epoch [20][1900/3746] lr: 9.588e-02, eta: 3 days, 13:51:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4870, loss_cls: 4.6768, loss: 4.6768 2023-12-25 04:08:33,359 - pyskl - INFO - Epoch [20][2000/3746] lr: 9.587e-02, eta: 3 days, 13:50:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4955, loss_cls: 4.6674, loss: 4.6674 2023-12-25 04:09:33,868 - pyskl - INFO - Epoch [20][2100/3746] lr: 9.586e-02, eta: 3 days, 13:48:59, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.5003, loss_cls: 4.6436, loss: 4.6436 2023-12-25 04:10:34,474 - pyskl - INFO - Epoch [20][2200/3746] lr: 9.585e-02, eta: 3 days, 13:47:38, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.4941, loss_cls: 4.6982, loss: 4.6982 2023-12-25 04:11:35,126 - pyskl - INFO - Epoch [20][2300/3746] lr: 9.584e-02, eta: 3 days, 13:46:18, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.5089, loss_cls: 4.6240, loss: 4.6240 2023-12-25 04:12:36,098 - pyskl - INFO - Epoch [20][2400/3746] lr: 9.583e-02, eta: 3 days, 13:45:00, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2425, top5_acc: 0.4845, loss_cls: 4.7042, loss: 4.7042 2023-12-25 04:13:36,855 - pyskl - INFO - Epoch [20][2500/3746] lr: 9.582e-02, eta: 3 days, 13:43:41, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2466, top5_acc: 0.4870, loss_cls: 4.7033, loss: 4.7033 2023-12-25 04:14:37,054 - pyskl - INFO - Epoch [20][2600/3746] lr: 9.581e-02, eta: 3 days, 13:42:17, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4838, loss_cls: 4.6904, loss: 4.6904 2023-12-25 04:15:37,289 - pyskl - INFO - Epoch [20][2700/3746] lr: 9.580e-02, eta: 3 days, 13:40:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2437, top5_acc: 0.4898, loss_cls: 4.6997, loss: 4.6997 2023-12-25 04:16:37,195 - pyskl - INFO - Epoch [20][2800/3746] lr: 9.578e-02, eta: 3 days, 13:39:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.4970, loss_cls: 4.6677, loss: 4.6677 2023-12-25 04:17:37,109 - pyskl - INFO - Epoch [20][2900/3746] lr: 9.577e-02, eta: 3 days, 13:38:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2427, top5_acc: 0.4827, loss_cls: 4.7184, loss: 4.7184 2023-12-25 04:18:37,829 - pyskl - INFO - Epoch [20][3000/3746] lr: 9.576e-02, eta: 3 days, 13:36:45, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.4981, loss_cls: 4.6537, loss: 4.6537 2023-12-25 04:19:38,733 - pyskl - INFO - Epoch [20][3100/3746] lr: 9.575e-02, eta: 3 days, 13:35:27, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2422, top5_acc: 0.4828, loss_cls: 4.7516, loss: 4.7516 2023-12-25 04:20:39,861 - pyskl - INFO - Epoch [20][3200/3746] lr: 9.574e-02, eta: 3 days, 13:34:10, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4877, loss_cls: 4.7120, loss: 4.7120 2023-12-25 04:21:40,281 - pyskl - INFO - Epoch [20][3300/3746] lr: 9.573e-02, eta: 3 days, 13:32:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2436, top5_acc: 0.4892, loss_cls: 4.7174, loss: 4.7174 2023-12-25 04:22:40,927 - pyskl - INFO - Epoch [20][3400/3746] lr: 9.572e-02, eta: 3 days, 13:31:29, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4981, loss_cls: 4.6583, loss: 4.6583 2023-12-25 04:23:41,056 - pyskl - INFO - Epoch [20][3500/3746] lr: 9.571e-02, eta: 3 days, 13:30:06, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4834, loss_cls: 4.7063, loss: 4.7063 2023-12-25 04:24:40,438 - pyskl - INFO - Epoch [20][3600/3746] lr: 9.569e-02, eta: 3 days, 13:28:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4873, loss_cls: 4.7268, loss: 4.7268 2023-12-25 04:25:40,625 - pyskl - INFO - Epoch [20][3700/3746] lr: 9.568e-02, eta: 3 days, 13:27:16, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4889, loss_cls: 4.6899, loss: 4.6899 2023-12-25 04:26:10,532 - pyskl - INFO - Saving checkpoint at 20 epochs 2023-12-25 04:28:12,045 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 04:28:12,895 - pyskl - INFO - top1_acc 0.1769 top5_acc 0.4011 2023-12-25 04:28:12,896 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 04:28:12,928 - pyskl - INFO - mean_acc 0.1768 2023-12-25 04:28:12,937 - pyskl - INFO - Epoch(val) [20][309] top1_acc: 0.1769, top5_acc: 0.4011, mean_class_accuracy: 0.1768 2023-12-25 04:31:23,844 - pyskl - INFO - Epoch [21][100/3746] lr: 9.567e-02, eta: 3 days, 13:36:24, time: 1.909, data_time: 1.308, memory: 16177, top1_acc: 0.2497, top5_acc: 0.5033, loss_cls: 4.6354, loss: 4.6354 2023-12-25 04:32:23,571 - pyskl - INFO - Epoch [21][200/3746] lr: 9.565e-02, eta: 3 days, 13:34:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5056, loss_cls: 4.6468, loss: 4.6468 2023-12-25 04:33:23,196 - pyskl - INFO - Epoch [21][300/3746] lr: 9.564e-02, eta: 3 days, 13:33:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2456, top5_acc: 0.4920, loss_cls: 4.6581, loss: 4.6581 2023-12-25 04:34:22,853 - pyskl - INFO - Epoch [21][400/3746] lr: 9.563e-02, eta: 3 days, 13:32:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4931, loss_cls: 4.6680, loss: 4.6680 2023-12-25 04:35:22,299 - pyskl - INFO - Epoch [21][500/3746] lr: 9.562e-02, eta: 3 days, 13:30:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.4952, loss_cls: 4.6563, loss: 4.6563 2023-12-25 04:36:22,004 - pyskl - INFO - Epoch [21][600/3746] lr: 9.561e-02, eta: 3 days, 13:29:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4978, loss_cls: 4.6826, loss: 4.6826 2023-12-25 04:37:21,922 - pyskl - INFO - Epoch [21][700/3746] lr: 9.560e-02, eta: 3 days, 13:27:44, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.4905, loss_cls: 4.6745, loss: 4.6745 2023-12-25 04:38:22,449 - pyskl - INFO - Epoch [21][800/3746] lr: 9.559e-02, eta: 3 days, 13:26:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5005, loss_cls: 4.6365, loss: 4.6365 2023-12-25 04:39:22,147 - pyskl - INFO - Epoch [21][900/3746] lr: 9.557e-02, eta: 3 days, 13:24:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.4848, loss_cls: 4.6878, loss: 4.6878 2023-12-25 04:40:21,840 - pyskl - INFO - Epoch [21][1000/3746] lr: 9.556e-02, eta: 3 days, 13:23:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.4953, loss_cls: 4.6595, loss: 4.6595 2023-12-25 04:41:21,606 - pyskl - INFO - Epoch [21][1100/3746] lr: 9.555e-02, eta: 3 days, 13:22:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4938, loss_cls: 4.6798, loss: 4.6798 2023-12-25 04:42:22,204 - pyskl - INFO - Epoch [21][1200/3746] lr: 9.554e-02, eta: 3 days, 13:20:45, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4872, loss_cls: 4.7115, loss: 4.7115 2023-12-25 04:43:23,096 - pyskl - INFO - Epoch [21][1300/3746] lr: 9.553e-02, eta: 3 days, 13:19:27, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4892, loss_cls: 4.7035, loss: 4.7035 2023-12-25 04:44:23,912 - pyskl - INFO - Epoch [21][1400/3746] lr: 9.552e-02, eta: 3 days, 13:18:08, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2344, top5_acc: 0.4870, loss_cls: 4.6971, loss: 4.6971 2023-12-25 04:45:23,984 - pyskl - INFO - Epoch [21][1500/3746] lr: 9.551e-02, eta: 3 days, 13:16:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4847, loss_cls: 4.6970, loss: 4.6970 2023-12-25 04:46:24,089 - pyskl - INFO - Epoch [21][1600/3746] lr: 9.549e-02, eta: 3 days, 13:15:22, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2437, top5_acc: 0.4945, loss_cls: 4.6726, loss: 4.6726 2023-12-25 04:47:24,552 - pyskl - INFO - Epoch [21][1700/3746] lr: 9.548e-02, eta: 3 days, 13:14:01, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2442, top5_acc: 0.4845, loss_cls: 4.7389, loss: 4.7389 2023-12-25 04:48:24,446 - pyskl - INFO - Epoch [21][1800/3746] lr: 9.547e-02, eta: 3 days, 13:12:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.4972, loss_cls: 4.6462, loss: 4.6462 2023-12-25 04:49:23,875 - pyskl - INFO - Epoch [21][1900/3746] lr: 9.546e-02, eta: 3 days, 13:11:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2384, top5_acc: 0.4855, loss_cls: 4.7267, loss: 4.7267 2023-12-25 04:50:23,517 - pyskl - INFO - Epoch [21][2000/3746] lr: 9.545e-02, eta: 3 days, 13:09:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.5000, loss_cls: 4.6488, loss: 4.6488 2023-12-25 04:51:23,130 - pyskl - INFO - Epoch [21][2100/3746] lr: 9.544e-02, eta: 3 days, 13:08:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4955, loss_cls: 4.6767, loss: 4.6767 2023-12-25 04:52:23,055 - pyskl - INFO - Epoch [21][2200/3746] lr: 9.542e-02, eta: 3 days, 13:06:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.4883, loss_cls: 4.7023, loss: 4.7023 2023-12-25 04:53:22,552 - pyskl - INFO - Epoch [21][2300/3746] lr: 9.541e-02, eta: 3 days, 13:05:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.4992, loss_cls: 4.6649, loss: 4.6649 2023-12-25 04:54:22,308 - pyskl - INFO - Epoch [21][2400/3746] lr: 9.540e-02, eta: 3 days, 13:04:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2362, top5_acc: 0.4894, loss_cls: 4.7153, loss: 4.7153 2023-12-25 04:55:22,349 - pyskl - INFO - Epoch [21][2500/3746] lr: 9.539e-02, eta: 3 days, 13:02:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4969, loss_cls: 4.6588, loss: 4.6588 2023-12-25 04:56:22,220 - pyskl - INFO - Epoch [21][2600/3746] lr: 9.538e-02, eta: 3 days, 13:01:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2431, top5_acc: 0.4905, loss_cls: 4.7122, loss: 4.7122 2023-12-25 04:57:22,123 - pyskl - INFO - Epoch [21][2700/3746] lr: 9.537e-02, eta: 3 days, 12:59:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.4841, loss_cls: 4.6779, loss: 4.6779 2023-12-25 04:58:22,357 - pyskl - INFO - Epoch [21][2800/3746] lr: 9.535e-02, eta: 3 days, 12:58:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2420, top5_acc: 0.4989, loss_cls: 4.6894, loss: 4.6894 2023-12-25 04:59:22,217 - pyskl - INFO - Epoch [21][2900/3746] lr: 9.534e-02, eta: 3 days, 12:57:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2323, top5_acc: 0.4777, loss_cls: 4.7567, loss: 4.7567 2023-12-25 05:00:21,766 - pyskl - INFO - Epoch [21][3000/3746] lr: 9.533e-02, eta: 3 days, 12:55:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2392, top5_acc: 0.4947, loss_cls: 4.6798, loss: 4.6798 2023-12-25 05:01:21,304 - pyskl - INFO - Epoch [21][3100/3746] lr: 9.532e-02, eta: 3 days, 12:54:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4861, loss_cls: 4.6841, loss: 4.6841 2023-12-25 05:02:20,992 - pyskl - INFO - Epoch [21][3200/3746] lr: 9.531e-02, eta: 3 days, 12:52:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.4997, loss_cls: 4.6747, loss: 4.6747 2023-12-25 05:03:20,763 - pyskl - INFO - Epoch [21][3300/3746] lr: 9.529e-02, eta: 3 days, 12:51:26, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4920, loss_cls: 4.6913, loss: 4.6913 2023-12-25 05:04:20,184 - pyskl - INFO - Epoch [21][3400/3746] lr: 9.528e-02, eta: 3 days, 12:50:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2391, top5_acc: 0.4861, loss_cls: 4.7089, loss: 4.7089 2023-12-25 05:05:19,654 - pyskl - INFO - Epoch [21][3500/3746] lr: 9.527e-02, eta: 3 days, 12:48:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4872, loss_cls: 4.7052, loss: 4.7052 2023-12-25 05:06:19,296 - pyskl - INFO - Epoch [21][3600/3746] lr: 9.526e-02, eta: 3 days, 12:47:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2367, top5_acc: 0.4878, loss_cls: 4.6986, loss: 4.6986 2023-12-25 05:07:19,091 - pyskl - INFO - Epoch [21][3700/3746] lr: 9.525e-02, eta: 3 days, 12:45:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.4919, loss_cls: 4.6737, loss: 4.6737 2023-12-25 05:07:48,843 - pyskl - INFO - Saving checkpoint at 21 epochs 2023-12-25 05:09:50,772 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 05:09:51,629 - pyskl - INFO - top1_acc 0.1694 top5_acc 0.3900 2023-12-25 05:09:51,630 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 05:09:51,682 - pyskl - INFO - mean_acc 0.1693 2023-12-25 05:09:51,696 - pyskl - INFO - Epoch(val) [21][309] top1_acc: 0.1694, top5_acc: 0.3900, mean_class_accuracy: 0.1693 2023-12-25 05:13:10,462 - pyskl - INFO - Epoch [22][100/3746] lr: 9.523e-02, eta: 3 days, 12:55:07, time: 1.988, data_time: 1.388, memory: 16177, top1_acc: 0.2539, top5_acc: 0.4936, loss_cls: 4.6710, loss: 4.6710 2023-12-25 05:14:09,954 - pyskl - INFO - Epoch [22][200/3746] lr: 9.522e-02, eta: 3 days, 12:53:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4986, loss_cls: 4.6763, loss: 4.6763 2023-12-25 05:15:09,809 - pyskl - INFO - Epoch [22][300/3746] lr: 9.521e-02, eta: 3 days, 12:52:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5077, loss_cls: 4.6213, loss: 4.6213 2023-12-25 05:16:09,649 - pyskl - INFO - Epoch [22][400/3746] lr: 9.519e-02, eta: 3 days, 12:50:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4911, loss_cls: 4.6706, loss: 4.6706 2023-12-25 05:17:09,122 - pyskl - INFO - Epoch [22][500/3746] lr: 9.518e-02, eta: 3 days, 12:49:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2430, top5_acc: 0.4997, loss_cls: 4.6705, loss: 4.6705 2023-12-25 05:18:08,599 - pyskl - INFO - Epoch [22][600/3746] lr: 9.517e-02, eta: 3 days, 12:48:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2408, top5_acc: 0.4881, loss_cls: 4.7061, loss: 4.7061 2023-12-25 05:19:08,270 - pyskl - INFO - Epoch [22][700/3746] lr: 9.516e-02, eta: 3 days, 12:46:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.4975, loss_cls: 4.6467, loss: 4.6467 2023-12-25 05:20:08,031 - pyskl - INFO - Epoch [22][800/3746] lr: 9.515e-02, eta: 3 days, 12:45:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4856, loss_cls: 4.6800, loss: 4.6800 2023-12-25 05:21:08,107 - pyskl - INFO - Epoch [22][900/3746] lr: 9.513e-02, eta: 3 days, 12:43:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.5055, loss_cls: 4.6487, loss: 4.6487 2023-12-25 05:22:07,918 - pyskl - INFO - Epoch [22][1000/3746] lr: 9.512e-02, eta: 3 days, 12:42:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2444, top5_acc: 0.4883, loss_cls: 4.6846, loss: 4.6846 2023-12-25 05:23:08,250 - pyskl - INFO - Epoch [22][1100/3746] lr: 9.511e-02, eta: 3 days, 12:41:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.4938, loss_cls: 4.6821, loss: 4.6821 2023-12-25 05:24:08,217 - pyskl - INFO - Epoch [22][1200/3746] lr: 9.510e-02, eta: 3 days, 12:39:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.4850, loss_cls: 4.6856, loss: 4.6856 2023-12-25 05:25:07,825 - pyskl - INFO - Epoch [22][1300/3746] lr: 9.509e-02, eta: 3 days, 12:38:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4955, loss_cls: 4.6657, loss: 4.6657 2023-12-25 05:26:07,637 - pyskl - INFO - Epoch [22][1400/3746] lr: 9.507e-02, eta: 3 days, 12:36:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.4956, loss_cls: 4.6614, loss: 4.6614 2023-12-25 05:27:07,474 - pyskl - INFO - Epoch [22][1500/3746] lr: 9.506e-02, eta: 3 days, 12:35:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.4969, loss_cls: 4.6752, loss: 4.6752 2023-12-25 05:28:07,993 - pyskl - INFO - Epoch [22][1600/3746] lr: 9.505e-02, eta: 3 days, 12:34:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2494, top5_acc: 0.4914, loss_cls: 4.6517, loss: 4.6517 2023-12-25 05:29:08,221 - pyskl - INFO - Epoch [22][1700/3746] lr: 9.504e-02, eta: 3 days, 12:32:47, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2450, top5_acc: 0.4841, loss_cls: 4.7131, loss: 4.7131 2023-12-25 05:30:08,267 - pyskl - INFO - Epoch [22][1800/3746] lr: 9.502e-02, eta: 3 days, 12:31:25, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2380, top5_acc: 0.5006, loss_cls: 4.6781, loss: 4.6781 2023-12-25 05:31:08,248 - pyskl - INFO - Epoch [22][1900/3746] lr: 9.501e-02, eta: 3 days, 12:30:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.4928, loss_cls: 4.6535, loss: 4.6535 2023-12-25 05:32:08,021 - pyskl - INFO - Epoch [22][2000/3746] lr: 9.500e-02, eta: 3 days, 12:28:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2380, top5_acc: 0.4838, loss_cls: 4.6979, loss: 4.6979 2023-12-25 05:33:07,767 - pyskl - INFO - Epoch [22][2100/3746] lr: 9.499e-02, eta: 3 days, 12:27:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.4967, loss_cls: 4.6681, loss: 4.6681 2023-12-25 05:34:07,503 - pyskl - INFO - Epoch [22][2200/3746] lr: 9.498e-02, eta: 3 days, 12:25:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.4986, loss_cls: 4.6580, loss: 4.6580 2023-12-25 05:35:07,354 - pyskl - INFO - Epoch [22][2300/3746] lr: 9.496e-02, eta: 3 days, 12:24:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2419, top5_acc: 0.4811, loss_cls: 4.7144, loss: 4.7144 2023-12-25 05:36:07,047 - pyskl - INFO - Epoch [22][2400/3746] lr: 9.495e-02, eta: 3 days, 12:23:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4944, loss_cls: 4.6757, loss: 4.6757 2023-12-25 05:37:06,999 - pyskl - INFO - Epoch [22][2500/3746] lr: 9.494e-02, eta: 3 days, 12:21:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.4902, loss_cls: 4.6779, loss: 4.6779 2023-12-25 05:38:06,962 - pyskl - INFO - Epoch [22][2600/3746] lr: 9.493e-02, eta: 3 days, 12:20:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2441, top5_acc: 0.4817, loss_cls: 4.7353, loss: 4.7353 2023-12-25 05:39:06,682 - pyskl - INFO - Epoch [22][2700/3746] lr: 9.491e-02, eta: 3 days, 12:18:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2423, top5_acc: 0.4870, loss_cls: 4.7095, loss: 4.7095 2023-12-25 05:40:06,880 - pyskl - INFO - Epoch [22][2800/3746] lr: 9.490e-02, eta: 3 days, 12:17:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.4831, loss_cls: 4.7120, loss: 4.7120 2023-12-25 05:41:06,529 - pyskl - INFO - Epoch [22][2900/3746] lr: 9.489e-02, eta: 3 days, 12:16:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2430, top5_acc: 0.4909, loss_cls: 4.7004, loss: 4.7004 2023-12-25 05:42:05,920 - pyskl - INFO - Epoch [22][3000/3746] lr: 9.488e-02, eta: 3 days, 12:14:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2442, top5_acc: 0.4919, loss_cls: 4.6940, loss: 4.6940 2023-12-25 05:43:05,222 - pyskl - INFO - Epoch [22][3100/3746] lr: 9.487e-02, eta: 3 days, 12:13:21, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4825, loss_cls: 4.7180, loss: 4.7180 2023-12-25 05:44:04,694 - pyskl - INFO - Epoch [22][3200/3746] lr: 9.485e-02, eta: 3 days, 12:11:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2345, top5_acc: 0.4831, loss_cls: 4.7424, loss: 4.7424 2023-12-25 05:45:04,416 - pyskl - INFO - Epoch [22][3300/3746] lr: 9.484e-02, eta: 3 days, 12:10:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4872, loss_cls: 4.6913, loss: 4.6913 2023-12-25 05:46:03,973 - pyskl - INFO - Epoch [22][3400/3746] lr: 9.483e-02, eta: 3 days, 12:09:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.5033, loss_cls: 4.6691, loss: 4.6691 2023-12-25 05:47:03,477 - pyskl - INFO - Epoch [22][3500/3746] lr: 9.482e-02, eta: 3 days, 12:07:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4877, loss_cls: 4.6701, loss: 4.6701 2023-12-25 05:48:02,731 - pyskl - INFO - Epoch [22][3600/3746] lr: 9.480e-02, eta: 3 days, 12:06:19, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.5009, loss_cls: 4.6545, loss: 4.6545 2023-12-25 05:49:02,647 - pyskl - INFO - Epoch [22][3700/3746] lr: 9.479e-02, eta: 3 days, 12:04:57, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4983, loss_cls: 4.6647, loss: 4.6647 2023-12-25 05:49:32,671 - pyskl - INFO - Saving checkpoint at 22 epochs 2023-12-25 05:51:32,039 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 05:51:32,869 - pyskl - INFO - top1_acc 0.1725 top5_acc 0.3846 2023-12-25 05:51:32,869 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 05:51:32,903 - pyskl - INFO - mean_acc 0.1724 2023-12-25 05:51:32,912 - pyskl - INFO - Epoch(val) [22][309] top1_acc: 0.1725, top5_acc: 0.3846, mean_class_accuracy: 0.1724 2023-12-25 05:54:46,083 - pyskl - INFO - Epoch [23][100/3746] lr: 9.477e-02, eta: 3 days, 12:13:12, time: 1.932, data_time: 1.330, memory: 16177, top1_acc: 0.2517, top5_acc: 0.4944, loss_cls: 4.6439, loss: 4.6439 2023-12-25 05:55:46,514 - pyskl - INFO - Epoch [23][200/3746] lr: 9.476e-02, eta: 3 days, 12:11:52, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4930, loss_cls: 4.6719, loss: 4.6719 2023-12-25 05:56:46,703 - pyskl - INFO - Epoch [23][300/3746] lr: 9.475e-02, eta: 3 days, 12:10:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4916, loss_cls: 4.6657, loss: 4.6657 2023-12-25 05:57:46,822 - pyskl - INFO - Epoch [23][400/3746] lr: 9.474e-02, eta: 3 days, 12:09:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.5002, loss_cls: 4.6555, loss: 4.6555 2023-12-25 05:58:46,607 - pyskl - INFO - Epoch [23][500/3746] lr: 9.472e-02, eta: 3 days, 12:07:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.5042, loss_cls: 4.6467, loss: 4.6467 2023-12-25 05:59:46,178 - pyskl - INFO - Epoch [23][600/3746] lr: 9.471e-02, eta: 3 days, 12:06:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2398, top5_acc: 0.4798, loss_cls: 4.7048, loss: 4.7048 2023-12-25 06:00:45,973 - pyskl - INFO - Epoch [23][700/3746] lr: 9.470e-02, eta: 3 days, 12:04:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4919, loss_cls: 4.6948, loss: 4.6948 2023-12-25 06:01:45,794 - pyskl - INFO - Epoch [23][800/3746] lr: 9.469e-02, eta: 3 days, 12:03:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5058, loss_cls: 4.6423, loss: 4.6423 2023-12-25 06:02:45,399 - pyskl - INFO - Epoch [23][900/3746] lr: 9.467e-02, eta: 3 days, 12:02:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4914, loss_cls: 4.7011, loss: 4.7011 2023-12-25 06:03:45,434 - pyskl - INFO - Epoch [23][1000/3746] lr: 9.466e-02, eta: 3 days, 12:00:51, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4970, loss_cls: 4.6511, loss: 4.6511 2023-12-25 06:04:45,087 - pyskl - INFO - Epoch [23][1100/3746] lr: 9.465e-02, eta: 3 days, 11:59:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5144, loss_cls: 4.5947, loss: 4.5947 2023-12-25 06:05:44,545 - pyskl - INFO - Epoch [23][1200/3746] lr: 9.464e-02, eta: 3 days, 11:58:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.5019, loss_cls: 4.6476, loss: 4.6476 2023-12-25 06:06:44,580 - pyskl - INFO - Epoch [23][1300/3746] lr: 9.462e-02, eta: 3 days, 11:56:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5067, loss_cls: 4.6196, loss: 4.6196 2023-12-25 06:07:44,027 - pyskl - INFO - Epoch [23][1400/3746] lr: 9.461e-02, eta: 3 days, 11:55:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2427, top5_acc: 0.4822, loss_cls: 4.7037, loss: 4.7037 2023-12-25 06:08:43,538 - pyskl - INFO - Epoch [23][1500/3746] lr: 9.460e-02, eta: 3 days, 11:53:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2409, top5_acc: 0.4919, loss_cls: 4.6799, loss: 4.6799 2023-12-25 06:09:43,041 - pyskl - INFO - Epoch [23][1600/3746] lr: 9.459e-02, eta: 3 days, 11:52:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4967, loss_cls: 4.6413, loss: 4.6413 2023-12-25 06:10:42,612 - pyskl - INFO - Epoch [23][1700/3746] lr: 9.457e-02, eta: 3 days, 11:51:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5022, loss_cls: 4.6405, loss: 4.6405 2023-12-25 06:11:42,269 - pyskl - INFO - Epoch [23][1800/3746] lr: 9.456e-02, eta: 3 days, 11:49:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2397, top5_acc: 0.4867, loss_cls: 4.7135, loss: 4.7135 2023-12-25 06:12:42,182 - pyskl - INFO - Epoch [23][1900/3746] lr: 9.455e-02, eta: 3 days, 11:48:20, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4869, loss_cls: 4.6950, loss: 4.6950 2023-12-25 06:13:42,300 - pyskl - INFO - Epoch [23][2000/3746] lr: 9.453e-02, eta: 3 days, 11:47:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2372, top5_acc: 0.4777, loss_cls: 4.7460, loss: 4.7460 2023-12-25 06:14:42,889 - pyskl - INFO - Epoch [23][2100/3746] lr: 9.452e-02, eta: 3 days, 11:45:42, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2494, top5_acc: 0.4939, loss_cls: 4.6900, loss: 4.6900 2023-12-25 06:15:42,757 - pyskl - INFO - Epoch [23][2200/3746] lr: 9.451e-02, eta: 3 days, 11:44:20, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4973, loss_cls: 4.6340, loss: 4.6340 2023-12-25 06:16:42,262 - pyskl - INFO - Epoch [23][2300/3746] lr: 9.450e-02, eta: 3 days, 11:42:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5011, loss_cls: 4.6315, loss: 4.6315 2023-12-25 06:17:42,615 - pyskl - INFO - Epoch [23][2400/3746] lr: 9.448e-02, eta: 3 days, 11:41:37, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.4858, loss_cls: 4.6827, loss: 4.6827 2023-12-25 06:18:43,296 - pyskl - INFO - Epoch [23][2500/3746] lr: 9.447e-02, eta: 3 days, 11:40:20, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.4955, loss_cls: 4.6706, loss: 4.6706 2023-12-25 06:19:43,975 - pyskl - INFO - Epoch [23][2600/3746] lr: 9.446e-02, eta: 3 days, 11:39:03, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.4955, loss_cls: 4.6514, loss: 4.6514 2023-12-25 06:20:44,067 - pyskl - INFO - Epoch [23][2700/3746] lr: 9.445e-02, eta: 3 days, 11:37:43, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4878, loss_cls: 4.6995, loss: 4.6995 2023-12-25 06:21:43,956 - pyskl - INFO - Epoch [23][2800/3746] lr: 9.443e-02, eta: 3 days, 11:36:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2405, top5_acc: 0.4831, loss_cls: 4.6990, loss: 4.6990 2023-12-25 06:22:43,832 - pyskl - INFO - Epoch [23][2900/3746] lr: 9.442e-02, eta: 3 days, 11:35:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.4838, loss_cls: 4.6844, loss: 4.6844 2023-12-25 06:23:43,543 - pyskl - INFO - Epoch [23][3000/3746] lr: 9.441e-02, eta: 3 days, 11:33:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4859, loss_cls: 4.6867, loss: 4.6867 2023-12-25 06:24:43,562 - pyskl - INFO - Epoch [23][3100/3746] lr: 9.439e-02, eta: 3 days, 11:32:18, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4978, loss_cls: 4.6700, loss: 4.6700 2023-12-25 06:25:43,075 - pyskl - INFO - Epoch [23][3200/3746] lr: 9.438e-02, eta: 3 days, 11:30:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4964, loss_cls: 4.6862, loss: 4.6862 2023-12-25 06:26:42,853 - pyskl - INFO - Epoch [23][3300/3746] lr: 9.437e-02, eta: 3 days, 11:29:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2528, top5_acc: 0.4950, loss_cls: 4.6669, loss: 4.6669 2023-12-25 06:27:42,482 - pyskl - INFO - Epoch [23][3400/3746] lr: 9.436e-02, eta: 3 days, 11:28:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.4969, loss_cls: 4.6913, loss: 4.6913 2023-12-25 06:28:42,228 - pyskl - INFO - Epoch [23][3500/3746] lr: 9.434e-02, eta: 3 days, 11:26:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2405, top5_acc: 0.4873, loss_cls: 4.7113, loss: 4.7113 2023-12-25 06:29:41,797 - pyskl - INFO - Epoch [23][3600/3746] lr: 9.433e-02, eta: 3 days, 11:25:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2339, top5_acc: 0.4819, loss_cls: 4.7428, loss: 4.7428 2023-12-25 06:30:41,959 - pyskl - INFO - Epoch [23][3700/3746] lr: 9.432e-02, eta: 3 days, 11:24:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4811, loss_cls: 4.7221, loss: 4.7221 2023-12-25 06:31:11,679 - pyskl - INFO - Saving checkpoint at 23 epochs 2023-12-25 06:33:12,368 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 06:33:13,228 - pyskl - INFO - top1_acc 0.1646 top5_acc 0.3789 2023-12-25 06:33:13,228 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 06:33:13,267 - pyskl - INFO - mean_acc 0.1644 2023-12-25 06:33:13,279 - pyskl - INFO - Epoch(val) [23][309] top1_acc: 0.1646, top5_acc: 0.3789, mean_class_accuracy: 0.1644 2023-12-25 06:36:25,373 - pyskl - INFO - Epoch [24][100/3746] lr: 9.430e-02, eta: 3 days, 11:31:45, time: 1.921, data_time: 1.320, memory: 16177, top1_acc: 0.2516, top5_acc: 0.5016, loss_cls: 4.6343, loss: 4.6343 2023-12-25 06:37:25,401 - pyskl - INFO - Epoch [24][200/3746] lr: 9.428e-02, eta: 3 days, 11:30:24, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2441, top5_acc: 0.4877, loss_cls: 4.6864, loss: 4.6864 2023-12-25 06:38:25,103 - pyskl - INFO - Epoch [24][300/3746] lr: 9.427e-02, eta: 3 days, 11:29:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.4970, loss_cls: 4.6437, loss: 4.6437 2023-12-25 06:39:25,082 - pyskl - INFO - Epoch [24][400/3746] lr: 9.426e-02, eta: 3 days, 11:27:41, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2456, top5_acc: 0.4994, loss_cls: 4.6473, loss: 4.6473 2023-12-25 06:40:25,239 - pyskl - INFO - Epoch [24][500/3746] lr: 9.425e-02, eta: 3 days, 11:26:21, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2506, top5_acc: 0.4975, loss_cls: 4.6380, loss: 4.6380 2023-12-25 06:41:24,988 - pyskl - INFO - Epoch [24][600/3746] lr: 9.423e-02, eta: 3 days, 11:24:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4958, loss_cls: 4.6873, loss: 4.6873 2023-12-25 06:42:25,174 - pyskl - INFO - Epoch [24][700/3746] lr: 9.422e-02, eta: 3 days, 11:23:39, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.4947, loss_cls: 4.6471, loss: 4.6471 2023-12-25 06:43:26,123 - pyskl - INFO - Epoch [24][800/3746] lr: 9.421e-02, eta: 3 days, 11:22:24, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.4950, loss_cls: 4.6549, loss: 4.6549 2023-12-25 06:44:26,809 - pyskl - INFO - Epoch [24][900/3746] lr: 9.419e-02, eta: 3 days, 11:21:07, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2433, top5_acc: 0.4916, loss_cls: 4.6779, loss: 4.6779 2023-12-25 06:45:26,743 - pyskl - INFO - Epoch [24][1000/3746] lr: 9.418e-02, eta: 3 days, 11:19:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2497, top5_acc: 0.4952, loss_cls: 4.6830, loss: 4.6830 2023-12-25 06:46:26,269 - pyskl - INFO - Epoch [24][1100/3746] lr: 9.417e-02, eta: 3 days, 11:18:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2470, top5_acc: 0.4986, loss_cls: 4.6712, loss: 4.6712 2023-12-25 06:47:26,079 - pyskl - INFO - Epoch [24][1200/3746] lr: 9.415e-02, eta: 3 days, 11:17:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2455, top5_acc: 0.4963, loss_cls: 4.6724, loss: 4.6724 2023-12-25 06:48:25,867 - pyskl - INFO - Epoch [24][1300/3746] lr: 9.414e-02, eta: 3 days, 11:15:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.4992, loss_cls: 4.6384, loss: 4.6384 2023-12-25 06:49:25,397 - pyskl - INFO - Epoch [24][1400/3746] lr: 9.413e-02, eta: 3 days, 11:14:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.5044, loss_cls: 4.6562, loss: 4.6562 2023-12-25 06:50:25,074 - pyskl - INFO - Epoch [24][1500/3746] lr: 9.411e-02, eta: 3 days, 11:12:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2425, top5_acc: 0.4867, loss_cls: 4.7025, loss: 4.7025 2023-12-25 06:51:24,835 - pyskl - INFO - Epoch [24][1600/3746] lr: 9.410e-02, eta: 3 days, 11:11:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.5011, loss_cls: 4.6658, loss: 4.6658 2023-12-25 06:52:24,635 - pyskl - INFO - Epoch [24][1700/3746] lr: 9.409e-02, eta: 3 days, 11:10:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4933, loss_cls: 4.6709, loss: 4.6709 2023-12-25 06:53:24,456 - pyskl - INFO - Epoch [24][1800/3746] lr: 9.407e-02, eta: 3 days, 11:08:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.4930, loss_cls: 4.6418, loss: 4.6418 2023-12-25 06:54:25,183 - pyskl - INFO - Epoch [24][1900/3746] lr: 9.406e-02, eta: 3 days, 11:07:34, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2466, top5_acc: 0.4945, loss_cls: 4.6638, loss: 4.6638 2023-12-25 06:55:25,682 - pyskl - INFO - Epoch [24][2000/3746] lr: 9.405e-02, eta: 3 days, 11:06:17, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2408, top5_acc: 0.4875, loss_cls: 4.7204, loss: 4.7204 2023-12-25 06:56:26,796 - pyskl - INFO - Epoch [24][2100/3746] lr: 9.404e-02, eta: 3 days, 11:05:03, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5042, loss_cls: 4.6372, loss: 4.6372 2023-12-25 06:57:27,445 - pyskl - INFO - Epoch [24][2200/3746] lr: 9.402e-02, eta: 3 days, 11:03:46, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4961, loss_cls: 4.6491, loss: 4.6491 2023-12-25 06:58:27,835 - pyskl - INFO - Epoch [24][2300/3746] lr: 9.401e-02, eta: 3 days, 11:02:28, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4984, loss_cls: 4.6388, loss: 4.6388 2023-12-25 06:59:28,551 - pyskl - INFO - Epoch [24][2400/3746] lr: 9.400e-02, eta: 3 days, 11:01:12, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2477, top5_acc: 0.4958, loss_cls: 4.6839, loss: 4.6839 2023-12-25 07:00:29,124 - pyskl - INFO - Epoch [24][2500/3746] lr: 9.398e-02, eta: 3 days, 10:59:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4898, loss_cls: 4.6833, loss: 4.6833 2023-12-25 07:01:29,353 - pyskl - INFO - Epoch [24][2600/3746] lr: 9.397e-02, eta: 3 days, 10:58:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5077, loss_cls: 4.6500, loss: 4.6500 2023-12-25 07:02:29,271 - pyskl - INFO - Epoch [24][2700/3746] lr: 9.396e-02, eta: 3 days, 10:57:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4844, loss_cls: 4.7042, loss: 4.7042 2023-12-25 07:03:28,739 - pyskl - INFO - Epoch [24][2800/3746] lr: 9.394e-02, eta: 3 days, 10:55:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4909, loss_cls: 4.6978, loss: 4.6978 2023-12-25 07:04:28,283 - pyskl - INFO - Epoch [24][2900/3746] lr: 9.393e-02, eta: 3 days, 10:54:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5003, loss_cls: 4.6586, loss: 4.6586 2023-12-25 07:05:27,729 - pyskl - INFO - Epoch [24][3000/3746] lr: 9.392e-02, eta: 3 days, 10:53:09, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4958, loss_cls: 4.6610, loss: 4.6610 2023-12-25 07:06:27,251 - pyskl - INFO - Epoch [24][3100/3746] lr: 9.390e-02, eta: 3 days, 10:51:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.4947, loss_cls: 4.6737, loss: 4.6737 2023-12-25 07:07:26,998 - pyskl - INFO - Epoch [24][3200/3746] lr: 9.389e-02, eta: 3 days, 10:50:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.4933, loss_cls: 4.6765, loss: 4.6765 2023-12-25 07:08:26,364 - pyskl - INFO - Epoch [24][3300/3746] lr: 9.388e-02, eta: 3 days, 10:49:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4858, loss_cls: 4.7117, loss: 4.7117 2023-12-25 07:09:25,647 - pyskl - INFO - Epoch [24][3400/3746] lr: 9.386e-02, eta: 3 days, 10:47:40, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4961, loss_cls: 4.6437, loss: 4.6437 2023-12-25 07:10:25,227 - pyskl - INFO - Epoch [24][3500/3746] lr: 9.385e-02, eta: 3 days, 10:46:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2466, top5_acc: 0.4855, loss_cls: 4.6789, loss: 4.6789 2023-12-25 07:11:24,940 - pyskl - INFO - Epoch [24][3600/3746] lr: 9.384e-02, eta: 3 days, 10:44:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4981, loss_cls: 4.6525, loss: 4.6525 2023-12-25 07:12:24,806 - pyskl - INFO - Epoch [24][3700/3746] lr: 9.382e-02, eta: 3 days, 10:43:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2444, top5_acc: 0.4864, loss_cls: 4.7034, loss: 4.7034 2023-12-25 07:12:54,660 - pyskl - INFO - Saving checkpoint at 24 epochs 2023-12-25 07:14:55,663 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 07:14:56,605 - pyskl - INFO - top1_acc 0.1596 top5_acc 0.3736 2023-12-25 07:14:56,605 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 07:14:56,652 - pyskl - INFO - mean_acc 0.1593 2023-12-25 07:14:56,663 - pyskl - INFO - Epoch(val) [24][309] top1_acc: 0.1596, top5_acc: 0.3736, mean_class_accuracy: 0.1593 2023-12-25 07:18:11,124 - pyskl - INFO - Epoch [25][100/3746] lr: 9.380e-02, eta: 3 days, 10:51:01, time: 1.945, data_time: 1.346, memory: 16177, top1_acc: 0.2502, top5_acc: 0.4978, loss_cls: 4.6359, loss: 4.6359 2023-12-25 07:19:11,505 - pyskl - INFO - Epoch [25][200/3746] lr: 9.379e-02, eta: 3 days, 10:49:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.4950, loss_cls: 4.6356, loss: 4.6356 2023-12-25 07:20:11,657 - pyskl - INFO - Epoch [25][300/3746] lr: 9.378e-02, eta: 3 days, 10:48:24, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5130, loss_cls: 4.6359, loss: 4.6359 2023-12-25 07:21:11,186 - pyskl - INFO - Epoch [25][400/3746] lr: 9.376e-02, eta: 3 days, 10:47:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4928, loss_cls: 4.6642, loss: 4.6642 2023-12-25 07:22:10,797 - pyskl - INFO - Epoch [25][500/3746] lr: 9.375e-02, eta: 3 days, 10:45:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2387, top5_acc: 0.4934, loss_cls: 4.6669, loss: 4.6669 2023-12-25 07:23:10,422 - pyskl - INFO - Epoch [25][600/3746] lr: 9.373e-02, eta: 3 days, 10:44:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5075, loss_cls: 4.6157, loss: 4.6157 2023-12-25 07:24:10,109 - pyskl - INFO - Epoch [25][700/3746] lr: 9.372e-02, eta: 3 days, 10:42:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4906, loss_cls: 4.6853, loss: 4.6853 2023-12-25 07:25:09,685 - pyskl - INFO - Epoch [25][800/3746] lr: 9.371e-02, eta: 3 days, 10:41:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.4933, loss_cls: 4.6806, loss: 4.6806 2023-12-25 07:26:09,431 - pyskl - INFO - Epoch [25][900/3746] lr: 9.369e-02, eta: 3 days, 10:40:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.5017, loss_cls: 4.6686, loss: 4.6686 2023-12-25 07:27:08,947 - pyskl - INFO - Epoch [25][1000/3746] lr: 9.368e-02, eta: 3 days, 10:38:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4995, loss_cls: 4.6787, loss: 4.6787 2023-12-25 07:28:08,619 - pyskl - INFO - Epoch [25][1100/3746] lr: 9.367e-02, eta: 3 days, 10:37:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4870, loss_cls: 4.6917, loss: 4.6917 2023-12-25 07:29:08,205 - pyskl - INFO - Epoch [25][1200/3746] lr: 9.365e-02, eta: 3 days, 10:36:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4945, loss_cls: 4.6654, loss: 4.6654 2023-12-25 07:30:08,125 - pyskl - INFO - Epoch [25][1300/3746] lr: 9.364e-02, eta: 3 days, 10:34:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2470, top5_acc: 0.4930, loss_cls: 4.6360, loss: 4.6360 2023-12-25 07:31:08,125 - pyskl - INFO - Epoch [25][1400/3746] lr: 9.363e-02, eta: 3 days, 10:33:29, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5052, loss_cls: 4.6501, loss: 4.6501 2023-12-25 07:32:08,065 - pyskl - INFO - Epoch [25][1500/3746] lr: 9.361e-02, eta: 3 days, 10:32:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.4959, loss_cls: 4.6831, loss: 4.6831 2023-12-25 07:33:07,976 - pyskl - INFO - Epoch [25][1600/3746] lr: 9.360e-02, eta: 3 days, 10:30:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4900, loss_cls: 4.6985, loss: 4.6985 2023-12-25 07:34:07,657 - pyskl - INFO - Epoch [25][1700/3746] lr: 9.358e-02, eta: 3 days, 10:29:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4914, loss_cls: 4.6933, loss: 4.6933 2023-12-25 07:35:07,187 - pyskl - INFO - Epoch [25][1800/3746] lr: 9.357e-02, eta: 3 days, 10:28:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.4969, loss_cls: 4.6584, loss: 4.6584 2023-12-25 07:36:07,008 - pyskl - INFO - Epoch [25][1900/3746] lr: 9.356e-02, eta: 3 days, 10:26:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.4961, loss_cls: 4.6863, loss: 4.6863 2023-12-25 07:37:07,303 - pyskl - INFO - Epoch [25][2000/3746] lr: 9.354e-02, eta: 3 days, 10:25:29, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5036, loss_cls: 4.6428, loss: 4.6428 2023-12-25 07:38:08,487 - pyskl - INFO - Epoch [25][2100/3746] lr: 9.353e-02, eta: 3 days, 10:24:16, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.4944, loss_cls: 4.6685, loss: 4.6685 2023-12-25 07:39:08,796 - pyskl - INFO - Epoch [25][2200/3746] lr: 9.352e-02, eta: 3 days, 10:22:59, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.4961, loss_cls: 4.6666, loss: 4.6666 2023-12-25 07:40:08,702 - pyskl - INFO - Epoch [25][2300/3746] lr: 9.350e-02, eta: 3 days, 10:21:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5058, loss_cls: 4.6292, loss: 4.6292 2023-12-25 07:41:09,311 - pyskl - INFO - Epoch [25][2400/3746] lr: 9.349e-02, eta: 3 days, 10:20:23, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4919, loss_cls: 4.6623, loss: 4.6623 2023-12-25 07:42:10,013 - pyskl - INFO - Epoch [25][2500/3746] lr: 9.347e-02, eta: 3 days, 10:19:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4867, loss_cls: 4.7113, loss: 4.7113 2023-12-25 07:43:11,182 - pyskl - INFO - Epoch [25][2600/3746] lr: 9.346e-02, eta: 3 days, 10:17:55, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2412, top5_acc: 0.4916, loss_cls: 4.6907, loss: 4.6907 2023-12-25 07:44:11,026 - pyskl - INFO - Epoch [25][2700/3746] lr: 9.345e-02, eta: 3 days, 10:16:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.4966, loss_cls: 4.6378, loss: 4.6378 2023-12-25 07:45:10,616 - pyskl - INFO - Epoch [25][2800/3746] lr: 9.343e-02, eta: 3 days, 10:15:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5077, loss_cls: 4.6151, loss: 4.6151 2023-12-25 07:46:10,641 - pyskl - INFO - Epoch [25][2900/3746] lr: 9.342e-02, eta: 3 days, 10:13:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4914, loss_cls: 4.6778, loss: 4.6778 2023-12-25 07:47:10,296 - pyskl - INFO - Epoch [25][3000/3746] lr: 9.341e-02, eta: 3 days, 10:12:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2402, top5_acc: 0.4884, loss_cls: 4.7054, loss: 4.7054 2023-12-25 07:48:09,826 - pyskl - INFO - Epoch [25][3100/3746] lr: 9.339e-02, eta: 3 days, 10:11:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.4956, loss_cls: 4.6620, loss: 4.6620 2023-12-25 07:49:09,449 - pyskl - INFO - Epoch [25][3200/3746] lr: 9.338e-02, eta: 3 days, 10:09:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.4930, loss_cls: 4.6545, loss: 4.6545 2023-12-25 07:50:09,321 - pyskl - INFO - Epoch [25][3300/3746] lr: 9.336e-02, eta: 3 days, 10:08:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2437, top5_acc: 0.4931, loss_cls: 4.6740, loss: 4.6740 2023-12-25 07:51:08,966 - pyskl - INFO - Epoch [25][3400/3746] lr: 9.335e-02, eta: 3 days, 10:07:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2384, top5_acc: 0.4764, loss_cls: 4.7333, loss: 4.7333 2023-12-25 07:52:08,388 - pyskl - INFO - Epoch [25][3500/3746] lr: 9.334e-02, eta: 3 days, 10:05:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.4997, loss_cls: 4.6517, loss: 4.6517 2023-12-25 07:53:08,117 - pyskl - INFO - Epoch [25][3600/3746] lr: 9.332e-02, eta: 3 days, 10:04:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2477, top5_acc: 0.4923, loss_cls: 4.6858, loss: 4.6858 2023-12-25 07:54:08,354 - pyskl - INFO - Epoch [25][3700/3746] lr: 9.331e-02, eta: 3 days, 10:03:15, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5052, loss_cls: 4.6324, loss: 4.6324 2023-12-25 07:54:38,313 - pyskl - INFO - Saving checkpoint at 25 epochs 2023-12-25 07:56:38,166 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 07:56:39,046 - pyskl - INFO - top1_acc 0.1682 top5_acc 0.3846 2023-12-25 07:56:39,046 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 07:56:39,080 - pyskl - INFO - mean_acc 0.1680 2023-12-25 07:56:39,088 - pyskl - INFO - Epoch(val) [25][309] top1_acc: 0.1682, top5_acc: 0.3846, mean_class_accuracy: 0.1680 2023-12-25 07:59:57,128 - pyskl - INFO - Epoch [26][100/3746] lr: 9.329e-02, eta: 3 days, 10:10:32, time: 1.980, data_time: 1.374, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5073, loss_cls: 4.6029, loss: 4.6029 2023-12-25 08:00:57,502 - pyskl - INFO - Epoch [26][200/3746] lr: 9.327e-02, eta: 3 days, 10:09:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2472, top5_acc: 0.5062, loss_cls: 4.6398, loss: 4.6398 2023-12-25 08:01:57,408 - pyskl - INFO - Epoch [26][300/3746] lr: 9.326e-02, eta: 3 days, 10:07:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2550, top5_acc: 0.5014, loss_cls: 4.6337, loss: 4.6337 2023-12-25 08:02:57,374 - pyskl - INFO - Epoch [26][400/3746] lr: 9.325e-02, eta: 3 days, 10:06:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5031, loss_cls: 4.6300, loss: 4.6300 2023-12-25 08:03:57,609 - pyskl - INFO - Epoch [26][500/3746] lr: 9.323e-02, eta: 3 days, 10:05:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2459, top5_acc: 0.4941, loss_cls: 4.6746, loss: 4.6746 2023-12-25 08:04:57,877 - pyskl - INFO - Epoch [26][600/3746] lr: 9.322e-02, eta: 3 days, 10:04:00, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.4956, loss_cls: 4.6731, loss: 4.6731 2023-12-25 08:05:58,995 - pyskl - INFO - Epoch [26][700/3746] lr: 9.320e-02, eta: 3 days, 10:02:47, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.4984, loss_cls: 4.6614, loss: 4.6614 2023-12-25 08:06:59,150 - pyskl - INFO - Epoch [26][800/3746] lr: 9.319e-02, eta: 3 days, 10:01:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.4994, loss_cls: 4.6814, loss: 4.6814 2023-12-25 08:07:59,210 - pyskl - INFO - Epoch [26][900/3746] lr: 9.318e-02, eta: 3 days, 10:00:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.5019, loss_cls: 4.6320, loss: 4.6320 2023-12-25 08:08:59,302 - pyskl - INFO - Epoch [26][1000/3746] lr: 9.316e-02, eta: 3 days, 9:58:52, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4948, loss_cls: 4.6917, loss: 4.6917 2023-12-25 08:09:59,163 - pyskl - INFO - Epoch [26][1100/3746] lr: 9.315e-02, eta: 3 days, 9:57:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2392, top5_acc: 0.4884, loss_cls: 4.7158, loss: 4.7158 2023-12-25 08:10:59,153 - pyskl - INFO - Epoch [26][1200/3746] lr: 9.313e-02, eta: 3 days, 9:56:14, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2497, top5_acc: 0.4909, loss_cls: 4.6760, loss: 4.6760 2023-12-25 08:11:58,885 - pyskl - INFO - Epoch [26][1300/3746] lr: 9.312e-02, eta: 3 days, 9:54:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2395, top5_acc: 0.4913, loss_cls: 4.6813, loss: 4.6813 2023-12-25 08:12:58,821 - pyskl - INFO - Epoch [26][1400/3746] lr: 9.310e-02, eta: 3 days, 9:53:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2477, top5_acc: 0.4981, loss_cls: 4.6872, loss: 4.6872 2023-12-25 08:13:58,411 - pyskl - INFO - Epoch [26][1500/3746] lr: 9.309e-02, eta: 3 days, 9:52:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5141, loss_cls: 4.6053, loss: 4.6053 2023-12-25 08:14:58,122 - pyskl - INFO - Epoch [26][1600/3746] lr: 9.308e-02, eta: 3 days, 9:50:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4998, loss_cls: 4.6787, loss: 4.6787 2023-12-25 08:15:57,825 - pyskl - INFO - Epoch [26][1700/3746] lr: 9.306e-02, eta: 3 days, 9:49:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.4994, loss_cls: 4.6480, loss: 4.6480 2023-12-25 08:16:57,433 - pyskl - INFO - Epoch [26][1800/3746] lr: 9.305e-02, eta: 3 days, 9:48:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4911, loss_cls: 4.6738, loss: 4.6738 2023-12-25 08:17:57,350 - pyskl - INFO - Epoch [26][1900/3746] lr: 9.303e-02, eta: 3 days, 9:46:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4952, loss_cls: 4.6853, loss: 4.6853 2023-12-25 08:18:56,913 - pyskl - INFO - Epoch [26][2000/3746] lr: 9.302e-02, eta: 3 days, 9:45:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5011, loss_cls: 4.6316, loss: 4.6316 2023-12-25 08:19:56,588 - pyskl - INFO - Epoch [26][2100/3746] lr: 9.300e-02, eta: 3 days, 9:44:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4958, loss_cls: 4.6589, loss: 4.6589 2023-12-25 08:20:56,400 - pyskl - INFO - Epoch [26][2200/3746] lr: 9.299e-02, eta: 3 days, 9:42:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.5011, loss_cls: 4.6373, loss: 4.6373 2023-12-25 08:21:55,892 - pyskl - INFO - Epoch [26][2300/3746] lr: 9.298e-02, eta: 3 days, 9:41:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.4998, loss_cls: 4.6247, loss: 4.6247 2023-12-25 08:22:55,337 - pyskl - INFO - Epoch [26][2400/3746] lr: 9.296e-02, eta: 3 days, 9:40:13, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4881, loss_cls: 4.6728, loss: 4.6728 2023-12-25 08:23:55,064 - pyskl - INFO - Epoch [26][2500/3746] lr: 9.295e-02, eta: 3 days, 9:38:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2459, top5_acc: 0.4955, loss_cls: 4.6866, loss: 4.6866 2023-12-25 08:24:54,666 - pyskl - INFO - Epoch [26][2600/3746] lr: 9.293e-02, eta: 3 days, 9:37:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2452, top5_acc: 0.4953, loss_cls: 4.6699, loss: 4.6699 2023-12-25 08:25:54,539 - pyskl - INFO - Epoch [26][2700/3746] lr: 9.292e-02, eta: 3 days, 9:36:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4877, loss_cls: 4.6682, loss: 4.6682 2023-12-25 08:26:54,332 - pyskl - INFO - Epoch [26][2800/3746] lr: 9.290e-02, eta: 3 days, 9:34:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.5084, loss_cls: 4.6404, loss: 4.6404 2023-12-25 08:27:54,344 - pyskl - INFO - Epoch [26][2900/3746] lr: 9.289e-02, eta: 3 days, 9:33:38, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4891, loss_cls: 4.6791, loss: 4.6791 2023-12-25 08:28:53,721 - pyskl - INFO - Epoch [26][3000/3746] lr: 9.288e-02, eta: 3 days, 9:32:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4991, loss_cls: 4.6793, loss: 4.6793 2023-12-25 08:29:53,766 - pyskl - INFO - Epoch [26][3100/3746] lr: 9.286e-02, eta: 3 days, 9:30:59, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.4970, loss_cls: 4.6548, loss: 4.6548 2023-12-25 08:30:53,575 - pyskl - INFO - Epoch [26][3200/3746] lr: 9.285e-02, eta: 3 days, 9:29:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4973, loss_cls: 4.6405, loss: 4.6405 2023-12-25 08:31:53,269 - pyskl - INFO - Epoch [26][3300/3746] lr: 9.283e-02, eta: 3 days, 9:28:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4866, loss_cls: 4.6983, loss: 4.6983 2023-12-25 08:32:53,122 - pyskl - INFO - Epoch [26][3400/3746] lr: 9.282e-02, eta: 3 days, 9:27:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2433, top5_acc: 0.4898, loss_cls: 4.6783, loss: 4.6783 2023-12-25 08:33:53,681 - pyskl - INFO - Epoch [26][3500/3746] lr: 9.280e-02, eta: 3 days, 9:25:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.5027, loss_cls: 4.6633, loss: 4.6633 2023-12-25 08:34:54,424 - pyskl - INFO - Epoch [26][3600/3746] lr: 9.279e-02, eta: 3 days, 9:24:33, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.4870, loss_cls: 4.6789, loss: 4.6789 2023-12-25 08:35:55,402 - pyskl - INFO - Epoch [26][3700/3746] lr: 9.278e-02, eta: 3 days, 9:23:20, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2400, top5_acc: 0.4908, loss_cls: 4.7171, loss: 4.7171 2023-12-25 08:36:25,574 - pyskl - INFO - Saving checkpoint at 26 epochs 2023-12-25 08:38:28,601 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 08:38:29,761 - pyskl - INFO - top1_acc 0.1724 top5_acc 0.3964 2023-12-25 08:38:29,761 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 08:38:29,818 - pyskl - INFO - mean_acc 0.1721 2023-12-25 08:38:29,837 - pyskl - INFO - Epoch(val) [26][309] top1_acc: 0.1724, top5_acc: 0.3964, mean_class_accuracy: 0.1721 2023-12-25 08:41:47,352 - pyskl - INFO - Epoch [27][100/3746] lr: 9.275e-02, eta: 3 days, 9:30:10, time: 1.975, data_time: 1.374, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5091, loss_cls: 4.6152, loss: 4.6152 2023-12-25 08:42:47,977 - pyskl - INFO - Epoch [27][200/3746] lr: 9.274e-02, eta: 3 days, 9:28:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4992, loss_cls: 4.6228, loss: 4.6228 2023-12-25 08:43:47,934 - pyskl - INFO - Epoch [27][300/3746] lr: 9.272e-02, eta: 3 days, 9:27:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.5011, loss_cls: 4.6255, loss: 4.6255 2023-12-25 08:44:47,712 - pyskl - INFO - Epoch [27][400/3746] lr: 9.271e-02, eta: 3 days, 9:26:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.4900, loss_cls: 4.6716, loss: 4.6716 2023-12-25 08:45:47,257 - pyskl - INFO - Epoch [27][500/3746] lr: 9.270e-02, eta: 3 days, 9:24:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.4988, loss_cls: 4.6442, loss: 4.6442 2023-12-25 08:46:46,976 - pyskl - INFO - Epoch [27][600/3746] lr: 9.268e-02, eta: 3 days, 9:23:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5030, loss_cls: 4.6115, loss: 4.6115 2023-12-25 08:47:46,699 - pyskl - INFO - Epoch [27][700/3746] lr: 9.267e-02, eta: 3 days, 9:22:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4966, loss_cls: 4.6503, loss: 4.6503 2023-12-25 08:48:46,538 - pyskl - INFO - Epoch [27][800/3746] lr: 9.265e-02, eta: 3 days, 9:20:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5012, loss_cls: 4.6371, loss: 4.6371 2023-12-25 08:49:46,178 - pyskl - INFO - Epoch [27][900/3746] lr: 9.264e-02, eta: 3 days, 9:19:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4911, loss_cls: 4.6836, loss: 4.6836 2023-12-25 08:50:45,823 - pyskl - INFO - Epoch [27][1000/3746] lr: 9.262e-02, eta: 3 days, 9:18:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2448, top5_acc: 0.4906, loss_cls: 4.6760, loss: 4.6760 2023-12-25 08:51:45,487 - pyskl - INFO - Epoch [27][1100/3746] lr: 9.261e-02, eta: 3 days, 9:17:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.5100, loss_cls: 4.6163, loss: 4.6163 2023-12-25 08:52:45,163 - pyskl - INFO - Epoch [27][1200/3746] lr: 9.259e-02, eta: 3 days, 9:15:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.4980, loss_cls: 4.6955, loss: 4.6955 2023-12-25 08:53:45,062 - pyskl - INFO - Epoch [27][1300/3746] lr: 9.258e-02, eta: 3 days, 9:14:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2433, top5_acc: 0.4914, loss_cls: 4.6628, loss: 4.6628 2023-12-25 08:54:44,620 - pyskl - INFO - Epoch [27][1400/3746] lr: 9.256e-02, eta: 3 days, 9:13:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2425, top5_acc: 0.4923, loss_cls: 4.7108, loss: 4.7108 2023-12-25 08:55:44,332 - pyskl - INFO - Epoch [27][1500/3746] lr: 9.255e-02, eta: 3 days, 9:11:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4967, loss_cls: 4.6509, loss: 4.6509 2023-12-25 08:56:44,453 - pyskl - INFO - Epoch [27][1600/3746] lr: 9.253e-02, eta: 3 days, 9:10:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4995, loss_cls: 4.6556, loss: 4.6556 2023-12-25 08:57:45,150 - pyskl - INFO - Epoch [27][1700/3746] lr: 9.252e-02, eta: 3 days, 9:09:11, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4923, loss_cls: 4.6562, loss: 4.6562 2023-12-25 08:58:46,017 - pyskl - INFO - Epoch [27][1800/3746] lr: 9.251e-02, eta: 3 days, 9:07:57, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5103, loss_cls: 4.6365, loss: 4.6365 2023-12-25 08:59:46,649 - pyskl - INFO - Epoch [27][1900/3746] lr: 9.249e-02, eta: 3 days, 9:06:43, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.5042, loss_cls: 4.6549, loss: 4.6549 2023-12-25 09:00:46,470 - pyskl - INFO - Epoch [27][2000/3746] lr: 9.248e-02, eta: 3 days, 9:05:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.5020, loss_cls: 4.6389, loss: 4.6389 2023-12-25 09:01:46,135 - pyskl - INFO - Epoch [27][2100/3746] lr: 9.246e-02, eta: 3 days, 9:04:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4925, loss_cls: 4.6625, loss: 4.6625 2023-12-25 09:02:46,242 - pyskl - INFO - Epoch [27][2200/3746] lr: 9.245e-02, eta: 3 days, 9:02:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2387, top5_acc: 0.4855, loss_cls: 4.7122, loss: 4.7122 2023-12-25 09:03:46,336 - pyskl - INFO - Epoch [27][2300/3746] lr: 9.243e-02, eta: 3 days, 9:01:31, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5002, loss_cls: 4.6327, loss: 4.6327 2023-12-25 09:04:46,518 - pyskl - INFO - Epoch [27][2400/3746] lr: 9.242e-02, eta: 3 days, 9:00:14, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.4911, loss_cls: 4.6400, loss: 4.6400 2023-12-25 09:05:46,141 - pyskl - INFO - Epoch [27][2500/3746] lr: 9.240e-02, eta: 3 days, 8:58:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4875, loss_cls: 4.6801, loss: 4.6801 2023-12-25 09:06:46,117 - pyskl - INFO - Epoch [27][2600/3746] lr: 9.239e-02, eta: 3 days, 8:57:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4964, loss_cls: 4.6663, loss: 4.6663 2023-12-25 09:07:45,911 - pyskl - INFO - Epoch [27][2700/3746] lr: 9.237e-02, eta: 3 days, 8:56:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4800, loss_cls: 4.6874, loss: 4.6874 2023-12-25 09:08:45,665 - pyskl - INFO - Epoch [27][2800/3746] lr: 9.236e-02, eta: 3 days, 8:55:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4898, loss_cls: 4.6815, loss: 4.6815 2023-12-25 09:09:45,251 - pyskl - INFO - Epoch [27][2900/3746] lr: 9.234e-02, eta: 3 days, 8:53:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.5038, loss_cls: 4.6199, loss: 4.6199 2023-12-25 09:10:44,814 - pyskl - INFO - Epoch [27][3000/3746] lr: 9.233e-02, eta: 3 days, 8:52:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2408, top5_acc: 0.4917, loss_cls: 4.6882, loss: 4.6882 2023-12-25 09:11:45,065 - pyskl - INFO - Epoch [27][3100/3746] lr: 9.231e-02, eta: 3 days, 8:51:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4942, loss_cls: 4.6795, loss: 4.6795 2023-12-25 09:12:45,405 - pyskl - INFO - Epoch [27][3200/3746] lr: 9.230e-02, eta: 3 days, 8:49:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2405, top5_acc: 0.4827, loss_cls: 4.7184, loss: 4.7184 2023-12-25 09:13:46,009 - pyskl - INFO - Epoch [27][3300/3746] lr: 9.228e-02, eta: 3 days, 8:48:36, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2391, top5_acc: 0.5028, loss_cls: 4.6840, loss: 4.6840 2023-12-25 09:14:46,231 - pyskl - INFO - Epoch [27][3400/3746] lr: 9.227e-02, eta: 3 days, 8:47:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.4939, loss_cls: 4.6507, loss: 4.6507 2023-12-25 09:15:46,836 - pyskl - INFO - Epoch [27][3500/3746] lr: 9.225e-02, eta: 3 days, 8:46:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4963, loss_cls: 4.6704, loss: 4.6704 2023-12-25 09:16:47,272 - pyskl - INFO - Epoch [27][3600/3746] lr: 9.224e-02, eta: 3 days, 8:44:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2394, top5_acc: 0.4891, loss_cls: 4.7094, loss: 4.7094 2023-12-25 09:17:47,273 - pyskl - INFO - Epoch [27][3700/3746] lr: 9.222e-02, eta: 3 days, 8:43:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.5009, loss_cls: 4.6593, loss: 4.6593 2023-12-25 09:18:18,091 - pyskl - INFO - Saving checkpoint at 27 epochs 2023-12-25 09:20:21,009 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 09:20:22,061 - pyskl - INFO - top1_acc 0.1818 top5_acc 0.4037 2023-12-25 09:20:22,062 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 09:20:22,115 - pyskl - INFO - mean_acc 0.1817 2023-12-25 09:20:22,125 - pyskl - INFO - Epoch(val) [27][309] top1_acc: 0.1818, top5_acc: 0.4037, mean_class_accuracy: 0.1817 2023-12-25 09:23:39,664 - pyskl - INFO - Epoch [28][100/3746] lr: 9.220e-02, eta: 3 days, 8:50:01, time: 1.975, data_time: 1.373, memory: 16177, top1_acc: 0.2531, top5_acc: 0.4989, loss_cls: 4.6339, loss: 4.6339 2023-12-25 09:24:39,914 - pyskl - INFO - Epoch [28][200/3746] lr: 9.219e-02, eta: 3 days, 8:48:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4991, loss_cls: 4.6671, loss: 4.6671 2023-12-25 09:25:39,643 - pyskl - INFO - Epoch [28][300/3746] lr: 9.217e-02, eta: 3 days, 8:47:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5089, loss_cls: 4.6022, loss: 4.6022 2023-12-25 09:26:39,457 - pyskl - INFO - Epoch [28][400/3746] lr: 9.216e-02, eta: 3 days, 8:46:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5094, loss_cls: 4.5941, loss: 4.5941 2023-12-25 09:27:38,942 - pyskl - INFO - Epoch [28][500/3746] lr: 9.214e-02, eta: 3 days, 8:44:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5006, loss_cls: 4.6263, loss: 4.6263 2023-12-25 09:28:38,760 - pyskl - INFO - Epoch [28][600/3746] lr: 9.213e-02, eta: 3 days, 8:43:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4888, loss_cls: 4.6890, loss: 4.6890 2023-12-25 09:29:38,330 - pyskl - INFO - Epoch [28][700/3746] lr: 9.211e-02, eta: 3 days, 8:42:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.4958, loss_cls: 4.6555, loss: 4.6555 2023-12-25 09:30:38,163 - pyskl - INFO - Epoch [28][800/3746] lr: 9.210e-02, eta: 3 days, 8:40:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4980, loss_cls: 4.6579, loss: 4.6579 2023-12-25 09:31:37,694 - pyskl - INFO - Epoch [28][900/3746] lr: 9.208e-02, eta: 3 days, 8:39:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4934, loss_cls: 4.6699, loss: 4.6699 2023-12-25 09:32:37,435 - pyskl - INFO - Epoch [28][1000/3746] lr: 9.207e-02, eta: 3 days, 8:38:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.4934, loss_cls: 4.6597, loss: 4.6597 2023-12-25 09:33:37,319 - pyskl - INFO - Epoch [28][1100/3746] lr: 9.205e-02, eta: 3 days, 8:36:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2483, top5_acc: 0.4977, loss_cls: 4.6437, loss: 4.6437 2023-12-25 09:34:37,209 - pyskl - INFO - Epoch [28][1200/3746] lr: 9.204e-02, eta: 3 days, 8:35:38, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.5017, loss_cls: 4.6318, loss: 4.6318 2023-12-25 09:35:37,110 - pyskl - INFO - Epoch [28][1300/3746] lr: 9.202e-02, eta: 3 days, 8:34:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.5011, loss_cls: 4.6298, loss: 4.6298 2023-12-25 09:36:36,788 - pyskl - INFO - Epoch [28][1400/3746] lr: 9.201e-02, eta: 3 days, 8:33:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.4938, loss_cls: 4.6590, loss: 4.6590 2023-12-25 09:37:36,523 - pyskl - INFO - Epoch [28][1500/3746] lr: 9.199e-02, eta: 3 days, 8:31:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4897, loss_cls: 4.6879, loss: 4.6879 2023-12-25 09:38:36,254 - pyskl - INFO - Epoch [28][1600/3746] lr: 9.198e-02, eta: 3 days, 8:30:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2381, top5_acc: 0.4877, loss_cls: 4.7021, loss: 4.7021 2023-12-25 09:39:36,341 - pyskl - INFO - Epoch [28][1700/3746] lr: 9.196e-02, eta: 3 days, 8:29:09, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4919, loss_cls: 4.6587, loss: 4.6587 2023-12-25 09:40:36,179 - pyskl - INFO - Epoch [28][1800/3746] lr: 9.194e-02, eta: 3 days, 8:27:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2442, top5_acc: 0.4961, loss_cls: 4.6749, loss: 4.6749 2023-12-25 09:41:36,354 - pyskl - INFO - Epoch [28][1900/3746] lr: 9.193e-02, eta: 3 days, 8:26:35, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2558, top5_acc: 0.5025, loss_cls: 4.6072, loss: 4.6072 2023-12-25 09:42:36,622 - pyskl - INFO - Epoch [28][2000/3746] lr: 9.191e-02, eta: 3 days, 8:25:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2427, top5_acc: 0.4880, loss_cls: 4.6752, loss: 4.6752 2023-12-25 09:43:36,583 - pyskl - INFO - Epoch [28][2100/3746] lr: 9.190e-02, eta: 3 days, 8:24:02, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.5081, loss_cls: 4.6214, loss: 4.6214 2023-12-25 09:44:36,188 - pyskl - INFO - Epoch [28][2200/3746] lr: 9.188e-02, eta: 3 days, 8:22:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2508, top5_acc: 0.4958, loss_cls: 4.6457, loss: 4.6457 2023-12-25 09:45:35,884 - pyskl - INFO - Epoch [28][2300/3746] lr: 9.187e-02, eta: 3 days, 8:21:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4908, loss_cls: 4.6455, loss: 4.6455 2023-12-25 09:46:35,873 - pyskl - INFO - Epoch [28][2400/3746] lr: 9.185e-02, eta: 3 days, 8:20:08, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.4994, loss_cls: 4.6363, loss: 4.6363 2023-12-25 09:47:36,444 - pyskl - INFO - Epoch [28][2500/3746] lr: 9.184e-02, eta: 3 days, 8:18:54, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.5012, loss_cls: 4.6509, loss: 4.6509 2023-12-25 09:48:36,203 - pyskl - INFO - Epoch [28][2600/3746] lr: 9.182e-02, eta: 3 days, 8:17:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.4991, loss_cls: 4.6562, loss: 4.6562 2023-12-25 09:49:36,133 - pyskl - INFO - Epoch [28][2700/3746] lr: 9.181e-02, eta: 3 days, 8:16:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.4997, loss_cls: 4.6275, loss: 4.6275 2023-12-25 09:50:36,022 - pyskl - INFO - Epoch [28][2800/3746] lr: 9.179e-02, eta: 3 days, 8:15:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.4961, loss_cls: 4.6994, loss: 4.6994 2023-12-25 09:51:36,194 - pyskl - INFO - Epoch [28][2900/3746] lr: 9.178e-02, eta: 3 days, 8:13:46, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2505, top5_acc: 0.4864, loss_cls: 4.7034, loss: 4.7034 2023-12-25 09:52:35,704 - pyskl - INFO - Epoch [28][3000/3746] lr: 9.176e-02, eta: 3 days, 8:12:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4998, loss_cls: 4.6619, loss: 4.6619 2023-12-25 09:53:35,543 - pyskl - INFO - Epoch [28][3100/3746] lr: 9.175e-02, eta: 3 days, 8:11:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.4988, loss_cls: 4.6490, loss: 4.6490 2023-12-25 09:54:35,658 - pyskl - INFO - Epoch [28][3200/3746] lr: 9.173e-02, eta: 3 days, 8:09:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4939, loss_cls: 4.6567, loss: 4.6567 2023-12-25 09:55:35,266 - pyskl - INFO - Epoch [28][3300/3746] lr: 9.172e-02, eta: 3 days, 8:08:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4930, loss_cls: 4.6731, loss: 4.6731 2023-12-25 09:56:34,697 - pyskl - INFO - Epoch [28][3400/3746] lr: 9.170e-02, eta: 3 days, 8:07:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.4941, loss_cls: 4.6708, loss: 4.6708 2023-12-25 09:57:34,321 - pyskl - INFO - Epoch [28][3500/3746] lr: 9.168e-02, eta: 3 days, 8:05:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.4889, loss_cls: 4.6772, loss: 4.6772 2023-12-25 09:58:33,737 - pyskl - INFO - Epoch [28][3600/3746] lr: 9.167e-02, eta: 3 days, 8:04:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2447, top5_acc: 0.4911, loss_cls: 4.6829, loss: 4.6829 2023-12-25 09:59:33,735 - pyskl - INFO - Epoch [28][3700/3746] lr: 9.165e-02, eta: 3 days, 8:03:23, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.5042, loss_cls: 4.6498, loss: 4.6498 2023-12-25 10:00:04,087 - pyskl - INFO - Saving checkpoint at 28 epochs 2023-12-25 10:02:03,818 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 10:02:04,603 - pyskl - INFO - top1_acc 0.1818 top5_acc 0.3952 2023-12-25 10:02:04,603 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 10:02:04,639 - pyskl - INFO - mean_acc 0.1815 2023-12-25 10:02:04,649 - pyskl - INFO - Epoch(val) [28][309] top1_acc: 0.1818, top5_acc: 0.3952, mean_class_accuracy: 0.1815 2023-12-25 10:05:24,053 - pyskl - INFO - Epoch [29][100/3746] lr: 9.163e-02, eta: 3 days, 8:09:38, time: 1.994, data_time: 1.391, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5070, loss_cls: 4.6168, loss: 4.6168 2023-12-25 10:06:24,238 - pyskl - INFO - Epoch [29][200/3746] lr: 9.162e-02, eta: 3 days, 8:08:22, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5070, loss_cls: 4.6188, loss: 4.6188 2023-12-25 10:07:24,424 - pyskl - INFO - Epoch [29][300/3746] lr: 9.160e-02, eta: 3 days, 8:07:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5148, loss_cls: 4.5795, loss: 4.5795 2023-12-25 10:08:24,288 - pyskl - INFO - Epoch [29][400/3746] lr: 9.158e-02, eta: 3 days, 8:05:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5070, loss_cls: 4.5957, loss: 4.5957 2023-12-25 10:09:23,704 - pyskl - INFO - Epoch [29][500/3746] lr: 9.157e-02, eta: 3 days, 8:04:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2477, top5_acc: 0.4956, loss_cls: 4.6459, loss: 4.6459 2023-12-25 10:10:23,627 - pyskl - INFO - Epoch [29][600/3746] lr: 9.155e-02, eta: 3 days, 8:03:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2416, top5_acc: 0.4894, loss_cls: 4.6732, loss: 4.6732 2023-12-25 10:11:23,202 - pyskl - INFO - Epoch [29][700/3746] lr: 9.154e-02, eta: 3 days, 8:01:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5130, loss_cls: 4.5851, loss: 4.5851 2023-12-25 10:12:22,741 - pyskl - INFO - Epoch [29][800/3746] lr: 9.152e-02, eta: 3 days, 8:00:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.4956, loss_cls: 4.6369, loss: 4.6369 2023-12-25 10:13:22,751 - pyskl - INFO - Epoch [29][900/3746] lr: 9.151e-02, eta: 3 days, 7:59:18, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5020, loss_cls: 4.6127, loss: 4.6127 2023-12-25 10:14:22,457 - pyskl - INFO - Epoch [29][1000/3746] lr: 9.149e-02, eta: 3 days, 7:58:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.5023, loss_cls: 4.6528, loss: 4.6528 2023-12-25 10:15:22,123 - pyskl - INFO - Epoch [29][1100/3746] lr: 9.148e-02, eta: 3 days, 7:56:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5053, loss_cls: 4.6274, loss: 4.6274 2023-12-25 10:16:21,886 - pyskl - INFO - Epoch [29][1200/3746] lr: 9.146e-02, eta: 3 days, 7:55:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.5012, loss_cls: 4.6405, loss: 4.6405 2023-12-25 10:17:22,452 - pyskl - INFO - Epoch [29][1300/3746] lr: 9.144e-02, eta: 3 days, 7:54:11, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.4906, loss_cls: 4.6650, loss: 4.6650 2023-12-25 10:18:22,898 - pyskl - INFO - Epoch [29][1400/3746] lr: 9.143e-02, eta: 3 days, 7:52:56, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.4933, loss_cls: 4.6655, loss: 4.6655 2023-12-25 10:19:22,939 - pyskl - INFO - Epoch [29][1500/3746] lr: 9.141e-02, eta: 3 days, 7:51:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.5025, loss_cls: 4.6545, loss: 4.6545 2023-12-25 10:20:23,410 - pyskl - INFO - Epoch [29][1600/3746] lr: 9.140e-02, eta: 3 days, 7:50:25, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2481, top5_acc: 0.4834, loss_cls: 4.6852, loss: 4.6852 2023-12-25 10:21:23,110 - pyskl - INFO - Epoch [29][1700/3746] lr: 9.138e-02, eta: 3 days, 7:49:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5059, loss_cls: 4.6293, loss: 4.6293 2023-12-25 10:22:23,000 - pyskl - INFO - Epoch [29][1800/3746] lr: 9.137e-02, eta: 3 days, 7:47:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.4970, loss_cls: 4.6645, loss: 4.6645 2023-12-25 10:23:22,946 - pyskl - INFO - Epoch [29][1900/3746] lr: 9.135e-02, eta: 3 days, 7:46:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.5034, loss_cls: 4.6306, loss: 4.6306 2023-12-25 10:24:22,860 - pyskl - INFO - Epoch [29][2000/3746] lr: 9.133e-02, eta: 3 days, 7:45:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4925, loss_cls: 4.6891, loss: 4.6891 2023-12-25 10:25:22,641 - pyskl - INFO - Epoch [29][2100/3746] lr: 9.132e-02, eta: 3 days, 7:44:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.4978, loss_cls: 4.6473, loss: 4.6473 2023-12-25 10:26:22,342 - pyskl - INFO - Epoch [29][2200/3746] lr: 9.130e-02, eta: 3 days, 7:42:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.4991, loss_cls: 4.6659, loss: 4.6659 2023-12-25 10:27:22,041 - pyskl - INFO - Epoch [29][2300/3746] lr: 9.129e-02, eta: 3 days, 7:41:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4913, loss_cls: 4.6652, loss: 4.6652 2023-12-25 10:28:21,518 - pyskl - INFO - Epoch [29][2400/3746] lr: 9.127e-02, eta: 3 days, 7:40:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5009, loss_cls: 4.6296, loss: 4.6296 2023-12-25 10:29:21,276 - pyskl - INFO - Epoch [29][2500/3746] lr: 9.126e-02, eta: 3 days, 7:38:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.4952, loss_cls: 4.6551, loss: 4.6551 2023-12-25 10:30:21,498 - pyskl - INFO - Epoch [29][2600/3746] lr: 9.124e-02, eta: 3 days, 7:37:34, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4952, loss_cls: 4.6170, loss: 4.6170 2023-12-25 10:31:22,157 - pyskl - INFO - Epoch [29][2700/3746] lr: 9.122e-02, eta: 3 days, 7:36:21, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.4909, loss_cls: 4.6810, loss: 4.6810 2023-12-25 10:32:23,050 - pyskl - INFO - Epoch [29][2800/3746] lr: 9.121e-02, eta: 3 days, 7:35:09, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5141, loss_cls: 4.6036, loss: 4.6036 2023-12-25 10:33:22,397 - pyskl - INFO - Epoch [29][2900/3746] lr: 9.119e-02, eta: 3 days, 7:33:50, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2462, top5_acc: 0.4928, loss_cls: 4.6724, loss: 4.6724 2023-12-25 10:34:21,774 - pyskl - INFO - Epoch [29][3000/3746] lr: 9.118e-02, eta: 3 days, 7:32:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.5020, loss_cls: 4.6469, loss: 4.6469 2023-12-25 10:35:21,325 - pyskl - INFO - Epoch [29][3100/3746] lr: 9.116e-02, eta: 3 days, 7:31:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4948, loss_cls: 4.6712, loss: 4.6712 2023-12-25 10:36:20,372 - pyskl - INFO - Epoch [29][3200/3746] lr: 9.114e-02, eta: 3 days, 7:29:54, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4933, loss_cls: 4.6793, loss: 4.6793 2023-12-25 10:37:20,178 - pyskl - INFO - Epoch [29][3300/3746] lr: 9.113e-02, eta: 3 days, 7:28:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2414, top5_acc: 0.4898, loss_cls: 4.6905, loss: 4.6905 2023-12-25 10:38:19,794 - pyskl - INFO - Epoch [29][3400/3746] lr: 9.111e-02, eta: 3 days, 7:27:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.4953, loss_cls: 4.6588, loss: 4.6588 2023-12-25 10:39:19,657 - pyskl - INFO - Epoch [29][3500/3746] lr: 9.110e-02, eta: 3 days, 7:26:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2408, top5_acc: 0.4825, loss_cls: 4.6860, loss: 4.6860 2023-12-25 10:40:19,238 - pyskl - INFO - Epoch [29][3600/3746] lr: 9.108e-02, eta: 3 days, 7:24:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4966, loss_cls: 4.6609, loss: 4.6609 2023-12-25 10:41:19,146 - pyskl - INFO - Epoch [29][3700/3746] lr: 9.106e-02, eta: 3 days, 7:23:29, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.4983, loss_cls: 4.6601, loss: 4.6601 2023-12-25 10:41:49,023 - pyskl - INFO - Saving checkpoint at 29 epochs 2023-12-25 10:43:49,427 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 10:43:50,305 - pyskl - INFO - top1_acc 0.1716 top5_acc 0.3978 2023-12-25 10:43:50,305 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 10:43:50,339 - pyskl - INFO - mean_acc 0.1714 2023-12-25 10:43:50,348 - pyskl - INFO - Epoch(val) [29][309] top1_acc: 0.1716, top5_acc: 0.3978, mean_class_accuracy: 0.1714 2023-12-25 10:47:08,258 - pyskl - INFO - Epoch [30][100/3746] lr: 9.104e-02, eta: 3 days, 7:29:18, time: 1.979, data_time: 1.377, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5086, loss_cls: 4.5939, loss: 4.5939 2023-12-25 10:48:08,658 - pyskl - INFO - Epoch [30][200/3746] lr: 9.103e-02, eta: 3 days, 7:28:04, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.4995, loss_cls: 4.6332, loss: 4.6332 2023-12-25 10:49:09,567 - pyskl - INFO - Epoch [30][300/3746] lr: 9.101e-02, eta: 3 days, 7:26:51, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5020, loss_cls: 4.6297, loss: 4.6297 2023-12-25 10:50:09,484 - pyskl - INFO - Epoch [30][400/3746] lr: 9.099e-02, eta: 3 days, 7:25:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5116, loss_cls: 4.5926, loss: 4.5926 2023-12-25 10:51:09,659 - pyskl - INFO - Epoch [30][500/3746] lr: 9.098e-02, eta: 3 days, 7:24:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5048, loss_cls: 4.6233, loss: 4.6233 2023-12-25 10:52:10,290 - pyskl - INFO - Epoch [30][600/3746] lr: 9.096e-02, eta: 3 days, 7:23:06, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2528, top5_acc: 0.5030, loss_cls: 4.6144, loss: 4.6144 2023-12-25 10:53:10,046 - pyskl - INFO - Epoch [30][700/3746] lr: 9.095e-02, eta: 3 days, 7:21:49, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5028, loss_cls: 4.6515, loss: 4.6515 2023-12-25 10:54:10,010 - pyskl - INFO - Epoch [30][800/3746] lr: 9.093e-02, eta: 3 days, 7:20:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2448, top5_acc: 0.4930, loss_cls: 4.6673, loss: 4.6673 2023-12-25 10:55:09,690 - pyskl - INFO - Epoch [30][900/3746] lr: 9.091e-02, eta: 3 days, 7:19:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2439, top5_acc: 0.4948, loss_cls: 4.6764, loss: 4.6764 2023-12-25 10:56:09,519 - pyskl - INFO - Epoch [30][1000/3746] lr: 9.090e-02, eta: 3 days, 7:17:58, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.5044, loss_cls: 4.6668, loss: 4.6668 2023-12-25 10:57:09,371 - pyskl - INFO - Epoch [30][1100/3746] lr: 9.088e-02, eta: 3 days, 7:16:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5075, loss_cls: 4.6213, loss: 4.6213 2023-12-25 10:58:09,206 - pyskl - INFO - Epoch [30][1200/3746] lr: 9.087e-02, eta: 3 days, 7:15:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2461, top5_acc: 0.4981, loss_cls: 4.6657, loss: 4.6657 2023-12-25 10:59:09,111 - pyskl - INFO - Epoch [30][1300/3746] lr: 9.085e-02, eta: 3 days, 7:14:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.4969, loss_cls: 4.6245, loss: 4.6245 2023-12-25 11:00:08,792 - pyskl - INFO - Epoch [30][1400/3746] lr: 9.083e-02, eta: 3 days, 7:12:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.5017, loss_cls: 4.6265, loss: 4.6265 2023-12-25 11:01:09,609 - pyskl - INFO - Epoch [30][1500/3746] lr: 9.082e-02, eta: 3 days, 7:11:39, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.5109, loss_cls: 4.6002, loss: 4.6002 2023-12-25 11:02:10,966 - pyskl - INFO - Epoch [30][1600/3746] lr: 9.080e-02, eta: 3 days, 7:10:29, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5011, loss_cls: 4.6351, loss: 4.6351 2023-12-25 11:03:12,105 - pyskl - INFO - Epoch [30][1700/3746] lr: 9.078e-02, eta: 3 days, 7:09:17, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2442, top5_acc: 0.5031, loss_cls: 4.6712, loss: 4.6712 2023-12-25 11:04:12,940 - pyskl - INFO - Epoch [30][1800/3746] lr: 9.077e-02, eta: 3 days, 7:08:05, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5056, loss_cls: 4.6212, loss: 4.6212 2023-12-25 11:05:13,364 - pyskl - INFO - Epoch [30][1900/3746] lr: 9.075e-02, eta: 3 days, 7:06:51, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.5005, loss_cls: 4.6420, loss: 4.6420 2023-12-25 11:06:13,939 - pyskl - INFO - Epoch [30][2000/3746] lr: 9.074e-02, eta: 3 days, 7:05:38, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5033, loss_cls: 4.6371, loss: 4.6371 2023-12-25 11:07:14,359 - pyskl - INFO - Epoch [30][2100/3746] lr: 9.072e-02, eta: 3 days, 7:04:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.4939, loss_cls: 4.6402, loss: 4.6402 2023-12-25 11:08:15,126 - pyskl - INFO - Epoch [30][2200/3746] lr: 9.070e-02, eta: 3 days, 7:03:11, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.5003, loss_cls: 4.6369, loss: 4.6369 2023-12-25 11:09:16,010 - pyskl - INFO - Epoch [30][2300/3746] lr: 9.069e-02, eta: 3 days, 7:01:59, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5025, loss_cls: 4.6073, loss: 4.6073 2023-12-25 11:10:16,230 - pyskl - INFO - Epoch [30][2400/3746] lr: 9.067e-02, eta: 3 days, 7:00:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5022, loss_cls: 4.6143, loss: 4.6143 2023-12-25 11:11:16,975 - pyskl - INFO - Epoch [30][2500/3746] lr: 9.065e-02, eta: 3 days, 6:59:32, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.5019, loss_cls: 4.6331, loss: 4.6331 2023-12-25 11:12:17,751 - pyskl - INFO - Epoch [30][2600/3746] lr: 9.064e-02, eta: 3 days, 6:58:19, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.5011, loss_cls: 4.6609, loss: 4.6609 2023-12-25 11:13:18,667 - pyskl - INFO - Epoch [30][2700/3746] lr: 9.062e-02, eta: 3 days, 6:57:07, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.4938, loss_cls: 4.6615, loss: 4.6615 2023-12-25 11:14:19,439 - pyskl - INFO - Epoch [30][2800/3746] lr: 9.061e-02, eta: 3 days, 6:55:55, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.4955, loss_cls: 4.6573, loss: 4.6573 2023-12-25 11:15:20,322 - pyskl - INFO - Epoch [30][2900/3746] lr: 9.059e-02, eta: 3 days, 6:54:43, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.4898, loss_cls: 4.6705, loss: 4.6705 2023-12-25 11:16:20,369 - pyskl - INFO - Epoch [30][3000/3746] lr: 9.057e-02, eta: 3 days, 6:53:28, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4973, loss_cls: 4.6777, loss: 4.6777 2023-12-25 11:17:19,981 - pyskl - INFO - Epoch [30][3100/3746] lr: 9.056e-02, eta: 3 days, 6:52:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.4977, loss_cls: 4.6614, loss: 4.6614 2023-12-25 11:18:19,807 - pyskl - INFO - Epoch [30][3200/3746] lr: 9.054e-02, eta: 3 days, 6:50:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4900, loss_cls: 4.6715, loss: 4.6715 2023-12-25 11:19:19,400 - pyskl - INFO - Epoch [30][3300/3746] lr: 9.052e-02, eta: 3 days, 6:49:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4936, loss_cls: 4.6797, loss: 4.6797 2023-12-25 11:20:18,870 - pyskl - INFO - Epoch [30][3400/3746] lr: 9.051e-02, eta: 3 days, 6:48:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5083, loss_cls: 4.6092, loss: 4.6092 2023-12-25 11:21:18,672 - pyskl - INFO - Epoch [30][3500/3746] lr: 9.049e-02, eta: 3 days, 6:47:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5061, loss_cls: 4.6402, loss: 4.6402 2023-12-25 11:22:19,705 - pyskl - INFO - Epoch [30][3600/3746] lr: 9.047e-02, eta: 3 days, 6:45:53, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2437, top5_acc: 0.4917, loss_cls: 4.6841, loss: 4.6841 2023-12-25 11:23:19,684 - pyskl - INFO - Epoch [30][3700/3746] lr: 9.046e-02, eta: 3 days, 6:44:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4894, loss_cls: 4.6475, loss: 4.6475 2023-12-25 11:23:50,106 - pyskl - INFO - Saving checkpoint at 30 epochs 2023-12-25 11:25:51,486 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 11:25:52,493 - pyskl - INFO - top1_acc 0.1484 top5_acc 0.3522 2023-12-25 11:25:52,493 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 11:25:52,535 - pyskl - INFO - mean_acc 0.1481 2023-12-25 11:25:52,544 - pyskl - INFO - Epoch(val) [30][309] top1_acc: 0.1484, top5_acc: 0.3522, mean_class_accuracy: 0.1481 2023-12-25 11:29:10,598 - pyskl - INFO - Epoch [31][100/3746] lr: 9.043e-02, eta: 3 days, 6:50:09, time: 1.980, data_time: 1.374, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5030, loss_cls: 4.5965, loss: 4.5965 2023-12-25 11:30:11,392 - pyskl - INFO - Epoch [31][200/3746] lr: 9.042e-02, eta: 3 days, 6:48:56, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5000, loss_cls: 4.6249, loss: 4.6249 2023-12-25 11:31:11,676 - pyskl - INFO - Epoch [31][300/3746] lr: 9.040e-02, eta: 3 days, 6:47:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2628, top5_acc: 0.5039, loss_cls: 4.5987, loss: 4.5987 2023-12-25 11:32:11,866 - pyskl - INFO - Epoch [31][400/3746] lr: 9.039e-02, eta: 3 days, 6:46:26, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5117, loss_cls: 4.5908, loss: 4.5908 2023-12-25 11:33:12,220 - pyskl - INFO - Epoch [31][500/3746] lr: 9.037e-02, eta: 3 days, 6:45:12, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2487, top5_acc: 0.5048, loss_cls: 4.6353, loss: 4.6353 2023-12-25 11:34:12,109 - pyskl - INFO - Epoch [31][600/3746] lr: 9.035e-02, eta: 3 days, 6:43:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5056, loss_cls: 4.6461, loss: 4.6461 2023-12-25 11:35:12,360 - pyskl - INFO - Epoch [31][700/3746] lr: 9.034e-02, eta: 3 days, 6:42:42, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5056, loss_cls: 4.6068, loss: 4.6068 2023-12-25 11:36:12,028 - pyskl - INFO - Epoch [31][800/3746] lr: 9.032e-02, eta: 3 days, 6:41:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.5066, loss_cls: 4.6005, loss: 4.6005 2023-12-25 11:37:12,352 - pyskl - INFO - Epoch [31][900/3746] lr: 9.030e-02, eta: 3 days, 6:40:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.4967, loss_cls: 4.6362, loss: 4.6362 2023-12-25 11:38:12,003 - pyskl - INFO - Epoch [31][1000/3746] lr: 9.029e-02, eta: 3 days, 6:38:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.4998, loss_cls: 4.6595, loss: 4.6595 2023-12-25 11:39:12,017 - pyskl - INFO - Epoch [31][1100/3746] lr: 9.027e-02, eta: 3 days, 6:37:38, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5038, loss_cls: 4.6376, loss: 4.6376 2023-12-25 11:40:11,846 - pyskl - INFO - Epoch [31][1200/3746] lr: 9.025e-02, eta: 3 days, 6:36:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4952, loss_cls: 4.6644, loss: 4.6644 2023-12-25 11:41:11,498 - pyskl - INFO - Epoch [31][1300/3746] lr: 9.024e-02, eta: 3 days, 6:35:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.4988, loss_cls: 4.6600, loss: 4.6600 2023-12-25 11:42:11,919 - pyskl - INFO - Epoch [31][1400/3746] lr: 9.022e-02, eta: 3 days, 6:33:51, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5088, loss_cls: 4.6037, loss: 4.6037 2023-12-25 11:43:12,307 - pyskl - INFO - Epoch [31][1500/3746] lr: 9.020e-02, eta: 3 days, 6:32:38, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5030, loss_cls: 4.6329, loss: 4.6329 2023-12-25 11:44:13,029 - pyskl - INFO - Epoch [31][1600/3746] lr: 9.019e-02, eta: 3 days, 6:31:25, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4997, loss_cls: 4.6341, loss: 4.6341 2023-12-25 11:45:12,796 - pyskl - INFO - Epoch [31][1700/3746] lr: 9.017e-02, eta: 3 days, 6:30:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.4934, loss_cls: 4.6856, loss: 4.6856 2023-12-25 11:46:12,326 - pyskl - INFO - Epoch [31][1800/3746] lr: 9.015e-02, eta: 3 days, 6:28:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5081, loss_cls: 4.6004, loss: 4.6004 2023-12-25 11:47:11,918 - pyskl - INFO - Epoch [31][1900/3746] lr: 9.014e-02, eta: 3 days, 6:27:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4905, loss_cls: 4.6849, loss: 4.6849 2023-12-25 11:48:11,510 - pyskl - INFO - Epoch [31][2000/3746] lr: 9.012e-02, eta: 3 days, 6:26:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5042, loss_cls: 4.6066, loss: 4.6066 2023-12-25 11:49:11,189 - pyskl - INFO - Epoch [31][2100/3746] lr: 9.010e-02, eta: 3 days, 6:25:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5045, loss_cls: 4.6165, loss: 4.6165 2023-12-25 11:50:10,815 - pyskl - INFO - Epoch [31][2200/3746] lr: 9.009e-02, eta: 3 days, 6:23:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.5053, loss_cls: 4.6130, loss: 4.6130 2023-12-25 11:51:10,577 - pyskl - INFO - Epoch [31][2300/3746] lr: 9.007e-02, eta: 3 days, 6:22:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4953, loss_cls: 4.6418, loss: 4.6418 2023-12-25 11:52:10,318 - pyskl - INFO - Epoch [31][2400/3746] lr: 9.005e-02, eta: 3 days, 6:21:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4950, loss_cls: 4.6585, loss: 4.6585 2023-12-25 11:53:10,234 - pyskl - INFO - Epoch [31][2500/3746] lr: 9.004e-02, eta: 3 days, 6:19:57, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2561, top5_acc: 0.5033, loss_cls: 4.6445, loss: 4.6445 2023-12-25 11:54:10,100 - pyskl - INFO - Epoch [31][2600/3746] lr: 9.002e-02, eta: 3 days, 6:18:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.4930, loss_cls: 4.6805, loss: 4.6805 2023-12-25 11:55:10,006 - pyskl - INFO - Epoch [31][2700/3746] lr: 9.000e-02, eta: 3 days, 6:17:26, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.5027, loss_cls: 4.6506, loss: 4.6506 2023-12-25 11:56:09,769 - pyskl - INFO - Epoch [31][2800/3746] lr: 8.999e-02, eta: 3 days, 6:16:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2434, top5_acc: 0.4959, loss_cls: 4.6734, loss: 4.6734 2023-12-25 11:57:09,876 - pyskl - INFO - Epoch [31][2900/3746] lr: 8.997e-02, eta: 3 days, 6:14:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2459, top5_acc: 0.4934, loss_cls: 4.7019, loss: 4.7019 2023-12-25 11:58:09,481 - pyskl - INFO - Epoch [31][3000/3746] lr: 8.995e-02, eta: 3 days, 6:13:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.5016, loss_cls: 4.6313, loss: 4.6313 2023-12-25 11:59:09,294 - pyskl - INFO - Epoch [31][3100/3746] lr: 8.994e-02, eta: 3 days, 6:12:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5017, loss_cls: 4.6075, loss: 4.6075 2023-12-25 12:00:08,817 - pyskl - INFO - Epoch [31][3200/3746] lr: 8.992e-02, eta: 3 days, 6:11:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.4997, loss_cls: 4.6234, loss: 4.6234 2023-12-25 12:01:09,311 - pyskl - INFO - Epoch [31][3300/3746] lr: 8.990e-02, eta: 3 days, 6:09:54, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.4961, loss_cls: 4.6444, loss: 4.6444 2023-12-25 12:02:09,247 - pyskl - INFO - Epoch [31][3400/3746] lr: 8.989e-02, eta: 3 days, 6:08:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5062, loss_cls: 4.6049, loss: 4.6049 2023-12-25 12:03:08,902 - pyskl - INFO - Epoch [31][3500/3746] lr: 8.987e-02, eta: 3 days, 6:07:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2506, top5_acc: 0.4911, loss_cls: 4.6783, loss: 4.6783 2023-12-25 12:04:08,614 - pyskl - INFO - Epoch [31][3600/3746] lr: 8.985e-02, eta: 3 days, 6:06:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2453, top5_acc: 0.4928, loss_cls: 4.6736, loss: 4.6736 2023-12-25 12:05:08,665 - pyskl - INFO - Epoch [31][3700/3746] lr: 8.983e-02, eta: 3 days, 6:04:52, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.4963, loss_cls: 4.6425, loss: 4.6425 2023-12-25 12:05:38,933 - pyskl - INFO - Saving checkpoint at 31 epochs 2023-12-25 12:07:42,409 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 12:07:43,184 - pyskl - INFO - top1_acc 0.1832 top5_acc 0.4005 2023-12-25 12:07:43,185 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 12:07:43,216 - pyskl - INFO - mean_acc 0.1831 2023-12-25 12:07:43,224 - pyskl - INFO - Epoch(val) [31][309] top1_acc: 0.1832, top5_acc: 0.4005, mean_class_accuracy: 0.1831 2023-12-25 12:11:00,959 - pyskl - INFO - Epoch [32][100/3746] lr: 8.981e-02, eta: 3 days, 6:10:05, time: 1.977, data_time: 1.375, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5111, loss_cls: 4.5925, loss: 4.5925 2023-12-25 12:12:01,153 - pyskl - INFO - Epoch [32][200/3746] lr: 8.979e-02, eta: 3 days, 6:08:51, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5077, loss_cls: 4.6201, loss: 4.6201 2023-12-25 12:13:01,946 - pyskl - INFO - Epoch [32][300/3746] lr: 8.978e-02, eta: 3 days, 6:07:39, time: 0.608, data_time: 0.001, memory: 16177, top1_acc: 0.2441, top5_acc: 0.4948, loss_cls: 4.6543, loss: 4.6543 2023-12-25 12:14:02,930 - pyskl - INFO - Epoch [32][400/3746] lr: 8.976e-02, eta: 3 days, 6:06:27, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5112, loss_cls: 4.6220, loss: 4.6220 2023-12-25 12:15:02,880 - pyskl - INFO - Epoch [32][500/3746] lr: 8.974e-02, eta: 3 days, 6:05:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5045, loss_cls: 4.6451, loss: 4.6451 2023-12-25 12:16:03,062 - pyskl - INFO - Epoch [32][600/3746] lr: 8.973e-02, eta: 3 days, 6:03:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5120, loss_cls: 4.5924, loss: 4.5924 2023-12-25 12:17:02,926 - pyskl - INFO - Epoch [32][700/3746] lr: 8.971e-02, eta: 3 days, 6:02:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.5008, loss_cls: 4.6541, loss: 4.6541 2023-12-25 12:18:02,617 - pyskl - INFO - Epoch [32][800/3746] lr: 8.969e-02, eta: 3 days, 6:01:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5030, loss_cls: 4.6051, loss: 4.6051 2023-12-25 12:19:02,220 - pyskl - INFO - Epoch [32][900/3746] lr: 8.967e-02, eta: 3 days, 6:00:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5059, loss_cls: 4.6079, loss: 4.6079 2023-12-25 12:20:02,108 - pyskl - INFO - Epoch [32][1000/3746] lr: 8.966e-02, eta: 3 days, 5:58:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5023, loss_cls: 4.6241, loss: 4.6241 2023-12-25 12:21:02,016 - pyskl - INFO - Epoch [32][1100/3746] lr: 8.964e-02, eta: 3 days, 5:57:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.4952, loss_cls: 4.6354, loss: 4.6354 2023-12-25 12:22:01,714 - pyskl - INFO - Epoch [32][1200/3746] lr: 8.962e-02, eta: 3 days, 5:56:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5083, loss_cls: 4.6144, loss: 4.6144 2023-12-25 12:23:01,498 - pyskl - INFO - Epoch [32][1300/3746] lr: 8.961e-02, eta: 3 days, 5:55:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5102, loss_cls: 4.6061, loss: 4.6061 2023-12-25 12:24:01,096 - pyskl - INFO - Epoch [32][1400/3746] lr: 8.959e-02, eta: 3 days, 5:53:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.4980, loss_cls: 4.6395, loss: 4.6395 2023-12-25 12:25:00,898 - pyskl - INFO - Epoch [32][1500/3746] lr: 8.957e-02, eta: 3 days, 5:52:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5162, loss_cls: 4.5761, loss: 4.5761 2023-12-25 12:26:00,720 - pyskl - INFO - Epoch [32][1600/3746] lr: 8.955e-02, eta: 3 days, 5:51:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5127, loss_cls: 4.5968, loss: 4.5968 2023-12-25 12:27:00,431 - pyskl - INFO - Epoch [32][1700/3746] lr: 8.954e-02, eta: 3 days, 5:50:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2477, top5_acc: 0.4895, loss_cls: 4.6604, loss: 4.6604 2023-12-25 12:28:00,130 - pyskl - INFO - Epoch [32][1800/3746] lr: 8.952e-02, eta: 3 days, 5:48:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2450, top5_acc: 0.5053, loss_cls: 4.6527, loss: 4.6527 2023-12-25 12:28:59,685 - pyskl - INFO - Epoch [32][1900/3746] lr: 8.950e-02, eta: 3 days, 5:47:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2431, top5_acc: 0.4989, loss_cls: 4.6553, loss: 4.6553 2023-12-25 12:29:59,597 - pyskl - INFO - Epoch [32][2000/3746] lr: 8.949e-02, eta: 3 days, 5:46:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5062, loss_cls: 4.6032, loss: 4.6032 2023-12-25 12:30:59,287 - pyskl - INFO - Epoch [32][2100/3746] lr: 8.947e-02, eta: 3 days, 5:45:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.4980, loss_cls: 4.6402, loss: 4.6402 2023-12-25 12:31:58,620 - pyskl - INFO - Epoch [32][2200/3746] lr: 8.945e-02, eta: 3 days, 5:43:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5030, loss_cls: 4.6409, loss: 4.6409 2023-12-25 12:32:58,318 - pyskl - INFO - Epoch [32][2300/3746] lr: 8.943e-02, eta: 3 days, 5:42:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.4995, loss_cls: 4.6391, loss: 4.6391 2023-12-25 12:33:58,072 - pyskl - INFO - Epoch [32][2400/3746] lr: 8.942e-02, eta: 3 days, 5:41:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.5012, loss_cls: 4.6505, loss: 4.6505 2023-12-25 12:34:57,612 - pyskl - INFO - Epoch [32][2500/3746] lr: 8.940e-02, eta: 3 days, 5:39:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4880, loss_cls: 4.6810, loss: 4.6810 2023-12-25 12:35:57,393 - pyskl - INFO - Epoch [32][2600/3746] lr: 8.938e-02, eta: 3 days, 5:38:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2584, top5_acc: 0.5042, loss_cls: 4.6255, loss: 4.6255 2023-12-25 12:36:56,987 - pyskl - INFO - Epoch [32][2700/3746] lr: 8.937e-02, eta: 3 days, 5:37:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.4925, loss_cls: 4.6694, loss: 4.6694 2023-12-25 12:37:56,499 - pyskl - INFO - Epoch [32][2800/3746] lr: 8.935e-02, eta: 3 days, 5:36:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.4930, loss_cls: 4.6600, loss: 4.6600 2023-12-25 12:38:56,218 - pyskl - INFO - Epoch [32][2900/3746] lr: 8.933e-02, eta: 3 days, 5:34:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.4978, loss_cls: 4.6313, loss: 4.6313 2023-12-25 12:39:56,012 - pyskl - INFO - Epoch [32][3000/3746] lr: 8.931e-02, eta: 3 days, 5:33:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5000, loss_cls: 4.6392, loss: 4.6392 2023-12-25 12:40:55,897 - pyskl - INFO - Epoch [32][3100/3746] lr: 8.930e-02, eta: 3 days, 5:32:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.4927, loss_cls: 4.6518, loss: 4.6518 2023-12-25 12:41:55,882 - pyskl - INFO - Epoch [32][3200/3746] lr: 8.928e-02, eta: 3 days, 5:31:08, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.4891, loss_cls: 4.6644, loss: 4.6644 2023-12-25 12:42:56,336 - pyskl - INFO - Epoch [32][3300/3746] lr: 8.926e-02, eta: 3 days, 5:29:55, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.4925, loss_cls: 4.6551, loss: 4.6551 2023-12-25 12:43:56,027 - pyskl - INFO - Epoch [32][3400/3746] lr: 8.924e-02, eta: 3 days, 5:28:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5009, loss_cls: 4.6199, loss: 4.6199 2023-12-25 12:44:55,837 - pyskl - INFO - Epoch [32][3500/3746] lr: 8.923e-02, eta: 3 days, 5:27:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2484, top5_acc: 0.4986, loss_cls: 4.6656, loss: 4.6656 2023-12-25 12:45:55,197 - pyskl - INFO - Epoch [32][3600/3746] lr: 8.921e-02, eta: 3 days, 5:26:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4927, loss_cls: 4.6425, loss: 4.6425 2023-12-25 12:46:55,094 - pyskl - INFO - Epoch [32][3700/3746] lr: 8.919e-02, eta: 3 days, 5:24:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5048, loss_cls: 4.6286, loss: 4.6286 2023-12-25 12:47:25,329 - pyskl - INFO - Saving checkpoint at 32 epochs 2023-12-25 12:49:22,954 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 12:49:23,810 - pyskl - INFO - top1_acc 0.1532 top5_acc 0.3681 2023-12-25 12:49:23,810 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 12:49:23,846 - pyskl - INFO - mean_acc 0.1530 2023-12-25 12:49:23,854 - pyskl - INFO - Epoch(val) [32][309] top1_acc: 0.1532, top5_acc: 0.3681, mean_class_accuracy: 0.1530 2023-12-25 12:52:41,429 - pyskl - INFO - Epoch [33][100/3746] lr: 8.917e-02, eta: 3 days, 5:29:50, time: 1.976, data_time: 1.375, memory: 16177, top1_acc: 0.2522, top5_acc: 0.5056, loss_cls: 4.6058, loss: 4.6058 2023-12-25 12:53:42,086 - pyskl - INFO - Epoch [33][200/3746] lr: 8.915e-02, eta: 3 days, 5:28:37, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5083, loss_cls: 4.6279, loss: 4.6279 2023-12-25 12:54:42,737 - pyskl - INFO - Epoch [33][300/3746] lr: 8.913e-02, eta: 3 days, 5:27:25, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.5083, loss_cls: 4.6168, loss: 4.6168 2023-12-25 12:55:43,004 - pyskl - INFO - Epoch [33][400/3746] lr: 8.912e-02, eta: 3 days, 5:26:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5030, loss_cls: 4.5971, loss: 4.5971 2023-12-25 12:56:42,947 - pyskl - INFO - Epoch [33][500/3746] lr: 8.910e-02, eta: 3 days, 5:24:57, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5070, loss_cls: 4.6003, loss: 4.6003 2023-12-25 12:57:42,822 - pyskl - INFO - Epoch [33][600/3746] lr: 8.908e-02, eta: 3 days, 5:23:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5102, loss_cls: 4.5787, loss: 4.5787 2023-12-25 12:58:42,785 - pyskl - INFO - Epoch [33][700/3746] lr: 8.906e-02, eta: 3 days, 5:22:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.4958, loss_cls: 4.6574, loss: 4.6574 2023-12-25 12:59:42,417 - pyskl - INFO - Epoch [33][800/3746] lr: 8.905e-02, eta: 3 days, 5:21:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5111, loss_cls: 4.6039, loss: 4.6039 2023-12-25 13:00:41,629 - pyskl - INFO - Epoch [33][900/3746] lr: 8.903e-02, eta: 3 days, 5:19:54, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.4936, loss_cls: 4.6660, loss: 4.6660 2023-12-25 13:01:40,917 - pyskl - INFO - Epoch [33][1000/3746] lr: 8.901e-02, eta: 3 days, 5:18:37, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5116, loss_cls: 4.5803, loss: 4.5803 2023-12-25 13:02:40,240 - pyskl - INFO - Epoch [33][1100/3746] lr: 8.899e-02, eta: 3 days, 5:17:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.4952, loss_cls: 4.6323, loss: 4.6323 2023-12-25 13:03:39,636 - pyskl - INFO - Epoch [33][1200/3746] lr: 8.898e-02, eta: 3 days, 5:16:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2497, top5_acc: 0.4953, loss_cls: 4.6449, loss: 4.6449 2023-12-25 13:04:39,336 - pyskl - INFO - Epoch [33][1300/3746] lr: 8.896e-02, eta: 3 days, 5:14:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.5036, loss_cls: 4.6262, loss: 4.6262 2023-12-25 13:05:38,826 - pyskl - INFO - Epoch [33][1400/3746] lr: 8.894e-02, eta: 3 days, 5:13:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.5044, loss_cls: 4.6450, loss: 4.6450 2023-12-25 13:06:39,006 - pyskl - INFO - Epoch [33][1500/3746] lr: 8.892e-02, eta: 3 days, 5:12:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2475, top5_acc: 0.5000, loss_cls: 4.6553, loss: 4.6553 2023-12-25 13:07:40,069 - pyskl - INFO - Epoch [33][1600/3746] lr: 8.891e-02, eta: 3 days, 5:11:08, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2506, top5_acc: 0.4947, loss_cls: 4.6551, loss: 4.6551 2023-12-25 13:08:40,153 - pyskl - INFO - Epoch [33][1700/3746] lr: 8.889e-02, eta: 3 days, 5:09:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5033, loss_cls: 4.6351, loss: 4.6351 2023-12-25 13:09:40,244 - pyskl - INFO - Epoch [33][1800/3746] lr: 8.887e-02, eta: 3 days, 5:08:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2505, top5_acc: 0.4964, loss_cls: 4.6447, loss: 4.6447 2023-12-25 13:10:40,852 - pyskl - INFO - Epoch [33][1900/3746] lr: 8.885e-02, eta: 3 days, 5:07:28, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5031, loss_cls: 4.6413, loss: 4.6413 2023-12-25 13:11:40,583 - pyskl - INFO - Epoch [33][2000/3746] lr: 8.884e-02, eta: 3 days, 5:06:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5120, loss_cls: 4.5945, loss: 4.5945 2023-12-25 13:12:40,368 - pyskl - INFO - Epoch [33][2100/3746] lr: 8.882e-02, eta: 3 days, 5:04:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.4983, loss_cls: 4.6528, loss: 4.6528 2023-12-25 13:13:40,054 - pyskl - INFO - Epoch [33][2200/3746] lr: 8.880e-02, eta: 3 days, 5:03:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5075, loss_cls: 4.5996, loss: 4.5996 2023-12-25 13:14:39,865 - pyskl - INFO - Epoch [33][2300/3746] lr: 8.878e-02, eta: 3 days, 5:02:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.4938, loss_cls: 4.6459, loss: 4.6459 2023-12-25 13:15:39,503 - pyskl - INFO - Epoch [33][2400/3746] lr: 8.876e-02, eta: 3 days, 5:01:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5039, loss_cls: 4.6288, loss: 4.6288 2023-12-25 13:16:39,071 - pyskl - INFO - Epoch [33][2500/3746] lr: 8.875e-02, eta: 3 days, 4:59:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4933, loss_cls: 4.6622, loss: 4.6622 2023-12-25 13:17:38,369 - pyskl - INFO - Epoch [33][2600/3746] lr: 8.873e-02, eta: 3 days, 4:58:40, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5083, loss_cls: 4.6081, loss: 4.6081 2023-12-25 13:18:38,155 - pyskl - INFO - Epoch [33][2700/3746] lr: 8.871e-02, eta: 3 days, 4:57:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5052, loss_cls: 4.5944, loss: 4.5944 2023-12-25 13:19:38,037 - pyskl - INFO - Epoch [33][2800/3746] lr: 8.869e-02, eta: 3 days, 4:56:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5095, loss_cls: 4.6226, loss: 4.6226 2023-12-25 13:20:37,938 - pyskl - INFO - Epoch [33][2900/3746] lr: 8.868e-02, eta: 3 days, 4:54:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5078, loss_cls: 4.6107, loss: 4.6107 2023-12-25 13:21:37,850 - pyskl - INFO - Epoch [33][3000/3746] lr: 8.866e-02, eta: 3 days, 4:53:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5038, loss_cls: 4.5914, loss: 4.5914 2023-12-25 13:22:37,826 - pyskl - INFO - Epoch [33][3100/3746] lr: 8.864e-02, eta: 3 days, 4:52:28, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.5002, loss_cls: 4.6509, loss: 4.6509 2023-12-25 13:23:37,542 - pyskl - INFO - Epoch [33][3200/3746] lr: 8.862e-02, eta: 3 days, 4:51:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5041, loss_cls: 4.6434, loss: 4.6434 2023-12-25 13:24:37,292 - pyskl - INFO - Epoch [33][3300/3746] lr: 8.861e-02, eta: 3 days, 4:49:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2584, top5_acc: 0.4963, loss_cls: 4.6727, loss: 4.6727 2023-12-25 13:25:37,188 - pyskl - INFO - Epoch [33][3400/3746] lr: 8.859e-02, eta: 3 days, 4:48:44, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.5042, loss_cls: 4.6297, loss: 4.6297 2023-12-25 13:26:37,130 - pyskl - INFO - Epoch [33][3500/3746] lr: 8.857e-02, eta: 3 days, 4:47:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4941, loss_cls: 4.6652, loss: 4.6652 2023-12-25 13:27:37,012 - pyskl - INFO - Epoch [33][3600/3746] lr: 8.855e-02, eta: 3 days, 4:46:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2444, top5_acc: 0.4906, loss_cls: 4.6724, loss: 4.6724 2023-12-25 13:28:37,143 - pyskl - INFO - Epoch [33][3700/3746] lr: 8.853e-02, eta: 3 days, 4:45:02, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2467, top5_acc: 0.4909, loss_cls: 4.6807, loss: 4.6807 2023-12-25 13:29:07,734 - pyskl - INFO - Saving checkpoint at 33 epochs 2023-12-25 13:31:07,570 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 13:31:08,429 - pyskl - INFO - top1_acc 0.1975 top5_acc 0.4334 2023-12-25 13:31:08,429 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 13:31:08,463 - pyskl - INFO - mean_acc 0.1976 2023-12-25 13:31:08,469 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_18.pth was removed 2023-12-25 13:31:08,696 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_33.pth. 2023-12-25 13:31:08,696 - pyskl - INFO - Best top1_acc is 0.1975 at 33 epoch. 2023-12-25 13:31:08,705 - pyskl - INFO - Epoch(val) [33][309] top1_acc: 0.1975, top5_acc: 0.4334, mean_class_accuracy: 0.1976 2023-12-25 13:34:25,555 - pyskl - INFO - Epoch [34][100/3746] lr: 8.851e-02, eta: 3 days, 4:49:41, time: 1.968, data_time: 1.368, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5178, loss_cls: 4.5740, loss: 4.5740 2023-12-25 13:35:26,338 - pyskl - INFO - Epoch [34][200/3746] lr: 8.849e-02, eta: 3 days, 4:48:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2558, top5_acc: 0.4944, loss_cls: 4.6190, loss: 4.6190 2023-12-25 13:36:26,167 - pyskl - INFO - Epoch [34][300/3746] lr: 8.847e-02, eta: 3 days, 4:47:15, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.5091, loss_cls: 4.6368, loss: 4.6368 2023-12-25 13:37:26,540 - pyskl - INFO - Epoch [34][400/3746] lr: 8.845e-02, eta: 3 days, 4:46:02, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5116, loss_cls: 4.5985, loss: 4.5985 2023-12-25 13:38:26,419 - pyskl - INFO - Epoch [34][500/3746] lr: 8.844e-02, eta: 3 days, 4:44:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5144, loss_cls: 4.5708, loss: 4.5708 2023-12-25 13:39:26,168 - pyskl - INFO - Epoch [34][600/3746] lr: 8.842e-02, eta: 3 days, 4:43:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.4989, loss_cls: 4.6258, loss: 4.6258 2023-12-25 13:40:25,682 - pyskl - INFO - Epoch [34][700/3746] lr: 8.840e-02, eta: 3 days, 4:42:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5175, loss_cls: 4.5579, loss: 4.5579 2023-12-25 13:41:25,226 - pyskl - INFO - Epoch [34][800/3746] lr: 8.838e-02, eta: 3 days, 4:41:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5016, loss_cls: 4.6337, loss: 4.6337 2023-12-25 13:42:24,622 - pyskl - INFO - Epoch [34][900/3746] lr: 8.836e-02, eta: 3 days, 4:39:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5006, loss_cls: 4.6337, loss: 4.6337 2023-12-25 13:43:24,333 - pyskl - INFO - Epoch [34][1000/3746] lr: 8.835e-02, eta: 3 days, 4:38:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2472, top5_acc: 0.5045, loss_cls: 4.6315, loss: 4.6315 2023-12-25 13:44:23,910 - pyskl - INFO - Epoch [34][1100/3746] lr: 8.833e-02, eta: 3 days, 4:37:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5056, loss_cls: 4.6052, loss: 4.6052 2023-12-25 13:45:23,666 - pyskl - INFO - Epoch [34][1200/3746] lr: 8.831e-02, eta: 3 days, 4:36:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.4905, loss_cls: 4.6643, loss: 4.6643 2023-12-25 13:46:23,087 - pyskl - INFO - Epoch [34][1300/3746] lr: 8.829e-02, eta: 3 days, 4:34:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5059, loss_cls: 4.6133, loss: 4.6133 2023-12-25 13:47:22,224 - pyskl - INFO - Epoch [34][1400/3746] lr: 8.828e-02, eta: 3 days, 4:33:27, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5005, loss_cls: 4.6460, loss: 4.6460 2023-12-25 13:48:21,633 - pyskl - INFO - Epoch [34][1500/3746] lr: 8.826e-02, eta: 3 days, 4:32:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5148, loss_cls: 4.5863, loss: 4.5863 2023-12-25 13:49:21,101 - pyskl - INFO - Epoch [34][1600/3746] lr: 8.824e-02, eta: 3 days, 4:30:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5114, loss_cls: 4.5867, loss: 4.5867 2023-12-25 13:50:20,520 - pyskl - INFO - Epoch [34][1700/3746] lr: 8.822e-02, eta: 3 days, 4:29:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.4959, loss_cls: 4.6488, loss: 4.6488 2023-12-25 13:51:20,229 - pyskl - INFO - Epoch [34][1800/3746] lr: 8.820e-02, eta: 3 days, 4:28:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5075, loss_cls: 4.6247, loss: 4.6247 2023-12-25 13:52:19,712 - pyskl - INFO - Epoch [34][1900/3746] lr: 8.819e-02, eta: 3 days, 4:27:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.5095, loss_cls: 4.6059, loss: 4.6059 2023-12-25 13:53:19,076 - pyskl - INFO - Epoch [34][2000/3746] lr: 8.817e-02, eta: 3 days, 4:25:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2445, top5_acc: 0.4991, loss_cls: 4.6632, loss: 4.6632 2023-12-25 13:54:18,842 - pyskl - INFO - Epoch [34][2100/3746] lr: 8.815e-02, eta: 3 days, 4:24:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.5034, loss_cls: 4.5983, loss: 4.5983 2023-12-25 13:55:18,161 - pyskl - INFO - Epoch [34][2200/3746] lr: 8.813e-02, eta: 3 days, 4:23:23, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.4948, loss_cls: 4.6550, loss: 4.6550 2023-12-25 13:56:17,911 - pyskl - INFO - Epoch [34][2300/3746] lr: 8.811e-02, eta: 3 days, 4:22:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.4911, loss_cls: 4.6487, loss: 4.6487 2023-12-25 13:57:17,783 - pyskl - INFO - Epoch [34][2400/3746] lr: 8.809e-02, eta: 3 days, 4:20:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5119, loss_cls: 4.6301, loss: 4.6301 2023-12-25 13:58:17,458 - pyskl - INFO - Epoch [34][2500/3746] lr: 8.808e-02, eta: 3 days, 4:19:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5023, loss_cls: 4.6247, loss: 4.6247 2023-12-25 13:59:17,116 - pyskl - INFO - Epoch [34][2600/3746] lr: 8.806e-02, eta: 3 days, 4:18:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.4995, loss_cls: 4.6533, loss: 4.6533 2023-12-25 14:00:16,776 - pyskl - INFO - Epoch [34][2700/3746] lr: 8.804e-02, eta: 3 days, 4:17:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.5008, loss_cls: 4.6569, loss: 4.6569 2023-12-25 14:01:16,250 - pyskl - INFO - Epoch [34][2800/3746] lr: 8.802e-02, eta: 3 days, 4:15:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2437, top5_acc: 0.4863, loss_cls: 4.7119, loss: 4.7119 2023-12-25 14:02:15,703 - pyskl - INFO - Epoch [34][2900/3746] lr: 8.800e-02, eta: 3 days, 4:14:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5041, loss_cls: 4.6195, loss: 4.6195 2023-12-25 14:03:15,073 - pyskl - INFO - Epoch [34][3000/3746] lr: 8.799e-02, eta: 3 days, 4:13:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5128, loss_cls: 4.5757, loss: 4.5757 2023-12-25 14:04:14,607 - pyskl - INFO - Epoch [34][3100/3746] lr: 8.797e-02, eta: 3 days, 4:12:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5008, loss_cls: 4.6292, loss: 4.6292 2023-12-25 14:05:15,289 - pyskl - INFO - Epoch [34][3200/3746] lr: 8.795e-02, eta: 3 days, 4:10:57, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.5030, loss_cls: 4.6470, loss: 4.6470 2023-12-25 14:06:16,276 - pyskl - INFO - Epoch [34][3300/3746] lr: 8.793e-02, eta: 3 days, 4:09:47, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.5031, loss_cls: 4.6244, loss: 4.6244 2023-12-25 14:07:16,352 - pyskl - INFO - Epoch [34][3400/3746] lr: 8.791e-02, eta: 3 days, 4:08:34, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2472, top5_acc: 0.4936, loss_cls: 4.6625, loss: 4.6625 2023-12-25 14:08:15,943 - pyskl - INFO - Epoch [34][3500/3746] lr: 8.789e-02, eta: 3 days, 4:07:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.5016, loss_cls: 4.6230, loss: 4.6230 2023-12-25 14:09:15,912 - pyskl - INFO - Epoch [34][3600/3746] lr: 8.788e-02, eta: 3 days, 4:06:06, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.5009, loss_cls: 4.6400, loss: 4.6400 2023-12-25 14:10:16,144 - pyskl - INFO - Epoch [34][3700/3746] lr: 8.786e-02, eta: 3 days, 4:04:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2497, top5_acc: 0.4973, loss_cls: 4.6316, loss: 4.6316 2023-12-25 14:10:46,168 - pyskl - INFO - Saving checkpoint at 34 epochs 2023-12-25 14:12:45,777 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 14:12:46,594 - pyskl - INFO - top1_acc 0.1908 top5_acc 0.4170 2023-12-25 14:12:46,594 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 14:12:46,626 - pyskl - INFO - mean_acc 0.1905 2023-12-25 14:12:46,634 - pyskl - INFO - Epoch(val) [34][309] top1_acc: 0.1908, top5_acc: 0.4170, mean_class_accuracy: 0.1905 2023-12-25 14:16:06,340 - pyskl - INFO - Epoch [35][100/3746] lr: 8.783e-02, eta: 3 days, 4:09:28, time: 1.997, data_time: 1.398, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5136, loss_cls: 4.5888, loss: 4.5888 2023-12-25 14:17:07,141 - pyskl - INFO - Epoch [35][200/3746] lr: 8.781e-02, eta: 3 days, 4:08:17, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.5005, loss_cls: 4.6236, loss: 4.6236 2023-12-25 14:18:07,165 - pyskl - INFO - Epoch [35][300/3746] lr: 8.780e-02, eta: 3 days, 4:07:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.4994, loss_cls: 4.6387, loss: 4.6387 2023-12-25 14:19:07,502 - pyskl - INFO - Epoch [35][400/3746] lr: 8.778e-02, eta: 3 days, 4:05:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5147, loss_cls: 4.5648, loss: 4.5648 2023-12-25 14:20:07,557 - pyskl - INFO - Epoch [35][500/3746] lr: 8.776e-02, eta: 3 days, 4:04:38, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5008, loss_cls: 4.6155, loss: 4.6155 2023-12-25 14:21:07,391 - pyskl - INFO - Epoch [35][600/3746] lr: 8.774e-02, eta: 3 days, 4:03:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5045, loss_cls: 4.6328, loss: 4.6328 2023-12-25 14:22:07,127 - pyskl - INFO - Epoch [35][700/3746] lr: 8.772e-02, eta: 3 days, 4:02:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5061, loss_cls: 4.6100, loss: 4.6100 2023-12-25 14:23:07,080 - pyskl - INFO - Epoch [35][800/3746] lr: 8.770e-02, eta: 3 days, 4:00:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5011, loss_cls: 4.6147, loss: 4.6147 2023-12-25 14:24:06,545 - pyskl - INFO - Epoch [35][900/3746] lr: 8.769e-02, eta: 3 days, 3:59:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.4953, loss_cls: 4.6419, loss: 4.6419 2023-12-25 14:25:06,507 - pyskl - INFO - Epoch [35][1000/3746] lr: 8.767e-02, eta: 3 days, 3:58:26, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.5030, loss_cls: 4.6189, loss: 4.6189 2023-12-25 14:26:06,198 - pyskl - INFO - Epoch [35][1100/3746] lr: 8.765e-02, eta: 3 days, 3:57:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2458, top5_acc: 0.5056, loss_cls: 4.6226, loss: 4.6226 2023-12-25 14:27:06,242 - pyskl - INFO - Epoch [35][1200/3746] lr: 8.763e-02, eta: 3 days, 3:55:58, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.5036, loss_cls: 4.6249, loss: 4.6249 2023-12-25 14:28:06,150 - pyskl - INFO - Epoch [35][1300/3746] lr: 8.761e-02, eta: 3 days, 3:54:44, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5116, loss_cls: 4.6062, loss: 4.6062 2023-12-25 14:29:06,709 - pyskl - INFO - Epoch [35][1400/3746] lr: 8.759e-02, eta: 3 days, 3:53:33, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2500, top5_acc: 0.5050, loss_cls: 4.6406, loss: 4.6406 2023-12-25 14:30:06,578 - pyskl - INFO - Epoch [35][1500/3746] lr: 8.757e-02, eta: 3 days, 3:52:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5078, loss_cls: 4.6030, loss: 4.6030 2023-12-25 14:31:06,438 - pyskl - INFO - Epoch [35][1600/3746] lr: 8.756e-02, eta: 3 days, 3:51:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5138, loss_cls: 4.5924, loss: 4.5924 2023-12-25 14:32:06,196 - pyskl - INFO - Epoch [35][1700/3746] lr: 8.754e-02, eta: 3 days, 3:49:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5056, loss_cls: 4.6234, loss: 4.6234 2023-12-25 14:33:06,146 - pyskl - INFO - Epoch [35][1800/3746] lr: 8.752e-02, eta: 3 days, 3:48:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2558, top5_acc: 0.5038, loss_cls: 4.6396, loss: 4.6396 2023-12-25 14:34:05,906 - pyskl - INFO - Epoch [35][1900/3746] lr: 8.750e-02, eta: 3 days, 3:47:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.5061, loss_cls: 4.6367, loss: 4.6367 2023-12-25 14:35:05,510 - pyskl - INFO - Epoch [35][2000/3746] lr: 8.748e-02, eta: 3 days, 3:46:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4977, loss_cls: 4.6649, loss: 4.6649 2023-12-25 14:36:05,076 - pyskl - INFO - Epoch [35][2100/3746] lr: 8.746e-02, eta: 3 days, 3:44:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5086, loss_cls: 4.6151, loss: 4.6151 2023-12-25 14:37:04,593 - pyskl - INFO - Epoch [35][2200/3746] lr: 8.745e-02, eta: 3 days, 3:43:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5053, loss_cls: 4.6394, loss: 4.6394 2023-12-25 14:38:04,353 - pyskl - INFO - Epoch [35][2300/3746] lr: 8.743e-02, eta: 3 days, 3:42:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5077, loss_cls: 4.5977, loss: 4.5977 2023-12-25 14:39:04,258 - pyskl - INFO - Epoch [35][2400/3746] lr: 8.741e-02, eta: 3 days, 3:41:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.4902, loss_cls: 4.6855, loss: 4.6855 2023-12-25 14:40:04,455 - pyskl - INFO - Epoch [35][2500/3746] lr: 8.739e-02, eta: 3 days, 3:39:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5050, loss_cls: 4.6275, loss: 4.6275 2023-12-25 14:41:04,424 - pyskl - INFO - Epoch [35][2600/3746] lr: 8.737e-02, eta: 3 days, 3:38:46, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5006, loss_cls: 4.6232, loss: 4.6232 2023-12-25 14:42:05,400 - pyskl - INFO - Epoch [35][2700/3746] lr: 8.735e-02, eta: 3 days, 3:37:36, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.4930, loss_cls: 4.6299, loss: 4.6299 2023-12-25 14:43:05,488 - pyskl - INFO - Epoch [35][2800/3746] lr: 8.733e-02, eta: 3 days, 3:36:23, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5142, loss_cls: 4.5986, loss: 4.5986 2023-12-25 14:44:05,114 - pyskl - INFO - Epoch [35][2900/3746] lr: 8.732e-02, eta: 3 days, 3:35:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5038, loss_cls: 4.6121, loss: 4.6121 2023-12-25 14:45:04,772 - pyskl - INFO - Epoch [35][3000/3746] lr: 8.730e-02, eta: 3 days, 3:33:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4909, loss_cls: 4.6358, loss: 4.6358 2023-12-25 14:46:04,920 - pyskl - INFO - Epoch [35][3100/3746] lr: 8.728e-02, eta: 3 days, 3:32:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5141, loss_cls: 4.5930, loss: 4.5930 2023-12-25 14:47:05,048 - pyskl - INFO - Epoch [35][3200/3746] lr: 8.726e-02, eta: 3 days, 3:31:29, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5041, loss_cls: 4.6165, loss: 4.6165 2023-12-25 14:48:04,928 - pyskl - INFO - Epoch [35][3300/3746] lr: 8.724e-02, eta: 3 days, 3:30:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2478, top5_acc: 0.4959, loss_cls: 4.6367, loss: 4.6367 2023-12-25 14:49:04,953 - pyskl - INFO - Epoch [35][3400/3746] lr: 8.722e-02, eta: 3 days, 3:29:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5172, loss_cls: 4.5874, loss: 4.5874 2023-12-25 14:50:05,253 - pyskl - INFO - Epoch [35][3500/3746] lr: 8.720e-02, eta: 3 days, 3:27:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.5053, loss_cls: 4.6316, loss: 4.6316 2023-12-25 14:51:05,703 - pyskl - INFO - Epoch [35][3600/3746] lr: 8.718e-02, eta: 3 days, 3:26:39, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2448, top5_acc: 0.4970, loss_cls: 4.6707, loss: 4.6707 2023-12-25 14:52:06,461 - pyskl - INFO - Epoch [35][3700/3746] lr: 8.717e-02, eta: 3 days, 3:25:29, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.4997, loss_cls: 4.6643, loss: 4.6643 2023-12-25 14:52:36,631 - pyskl - INFO - Saving checkpoint at 35 epochs 2023-12-25 14:54:36,667 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 14:54:37,734 - pyskl - INFO - top1_acc 0.1969 top5_acc 0.4256 2023-12-25 14:54:37,734 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 14:54:37,774 - pyskl - INFO - mean_acc 0.1966 2023-12-25 14:54:37,783 - pyskl - INFO - Epoch(val) [35][309] top1_acc: 0.1969, top5_acc: 0.4256, mean_class_accuracy: 0.1966 2023-12-25 14:57:56,937 - pyskl - INFO - Epoch [36][100/3746] lr: 8.714e-02, eta: 3 days, 3:29:48, time: 1.991, data_time: 1.393, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5128, loss_cls: 4.5750, loss: 4.5750 2023-12-25 14:58:57,995 - pyskl - INFO - Epoch [36][200/3746] lr: 8.712e-02, eta: 3 days, 3:28:38, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5148, loss_cls: 4.5581, loss: 4.5581 2023-12-25 14:59:57,938 - pyskl - INFO - Epoch [36][300/3746] lr: 8.710e-02, eta: 3 days, 3:27:25, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.4998, loss_cls: 4.6205, loss: 4.6205 2023-12-25 15:00:57,953 - pyskl - INFO - Epoch [36][400/3746] lr: 8.708e-02, eta: 3 days, 3:26:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.4947, loss_cls: 4.6568, loss: 4.6568 2023-12-25 15:01:58,385 - pyskl - INFO - Epoch [36][500/3746] lr: 8.706e-02, eta: 3 days, 3:25:00, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5058, loss_cls: 4.6116, loss: 4.6116 2023-12-25 15:02:57,937 - pyskl - INFO - Epoch [36][600/3746] lr: 8.704e-02, eta: 3 days, 3:23:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5105, loss_cls: 4.5923, loss: 4.5923 2023-12-25 15:03:57,985 - pyskl - INFO - Epoch [36][700/3746] lr: 8.703e-02, eta: 3 days, 3:22:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2495, top5_acc: 0.5031, loss_cls: 4.6211, loss: 4.6211 2023-12-25 15:04:57,817 - pyskl - INFO - Epoch [36][800/3746] lr: 8.701e-02, eta: 3 days, 3:21:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5117, loss_cls: 4.5875, loss: 4.5875 2023-12-25 15:05:57,451 - pyskl - INFO - Epoch [36][900/3746] lr: 8.699e-02, eta: 3 days, 3:20:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5161, loss_cls: 4.5770, loss: 4.5770 2023-12-25 15:06:57,246 - pyskl - INFO - Epoch [36][1000/3746] lr: 8.697e-02, eta: 3 days, 3:18:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5003, loss_cls: 4.6168, loss: 4.6168 2023-12-25 15:07:57,021 - pyskl - INFO - Epoch [36][1100/3746] lr: 8.695e-02, eta: 3 days, 3:17:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2411, top5_acc: 0.4903, loss_cls: 4.6857, loss: 4.6857 2023-12-25 15:08:56,935 - pyskl - INFO - Epoch [36][1200/3746] lr: 8.693e-02, eta: 3 days, 3:16:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5016, loss_cls: 4.6213, loss: 4.6213 2023-12-25 15:09:56,530 - pyskl - INFO - Epoch [36][1300/3746] lr: 8.691e-02, eta: 3 days, 3:15:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5130, loss_cls: 4.5654, loss: 4.5654 2023-12-25 15:10:56,356 - pyskl - INFO - Epoch [36][1400/3746] lr: 8.689e-02, eta: 3 days, 3:13:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.4978, loss_cls: 4.6427, loss: 4.6427 2023-12-25 15:11:56,152 - pyskl - INFO - Epoch [36][1500/3746] lr: 8.688e-02, eta: 3 days, 3:12:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5027, loss_cls: 4.6116, loss: 4.6116 2023-12-25 15:12:55,931 - pyskl - INFO - Epoch [36][1600/3746] lr: 8.686e-02, eta: 3 days, 3:11:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5025, loss_cls: 4.6216, loss: 4.6216 2023-12-25 15:13:56,546 - pyskl - INFO - Epoch [36][1700/3746] lr: 8.684e-02, eta: 3 days, 3:10:17, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2572, top5_acc: 0.4941, loss_cls: 4.6617, loss: 4.6617 2023-12-25 15:14:56,167 - pyskl - INFO - Epoch [36][1800/3746] lr: 8.682e-02, eta: 3 days, 3:09:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4959, loss_cls: 4.6596, loss: 4.6596 2023-12-25 15:15:55,919 - pyskl - INFO - Epoch [36][1900/3746] lr: 8.680e-02, eta: 3 days, 3:07:49, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5025, loss_cls: 4.6124, loss: 4.6124 2023-12-25 15:16:55,648 - pyskl - INFO - Epoch [36][2000/3746] lr: 8.678e-02, eta: 3 days, 3:06:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2516, top5_acc: 0.5053, loss_cls: 4.6163, loss: 4.6163 2023-12-25 15:17:55,166 - pyskl - INFO - Epoch [36][2100/3746] lr: 8.676e-02, eta: 3 days, 3:05:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5078, loss_cls: 4.6141, loss: 4.6141 2023-12-25 15:18:54,545 - pyskl - INFO - Epoch [36][2200/3746] lr: 8.674e-02, eta: 3 days, 3:04:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5064, loss_cls: 4.6222, loss: 4.6222 2023-12-25 15:19:54,297 - pyskl - INFO - Epoch [36][2300/3746] lr: 8.672e-02, eta: 3 days, 3:02:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.4966, loss_cls: 4.6348, loss: 4.6348 2023-12-25 15:20:53,920 - pyskl - INFO - Epoch [36][2400/3746] lr: 8.671e-02, eta: 3 days, 3:01:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5077, loss_cls: 4.5812, loss: 4.5812 2023-12-25 15:21:53,657 - pyskl - INFO - Epoch [36][2500/3746] lr: 8.669e-02, eta: 3 days, 3:00:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.5028, loss_cls: 4.6517, loss: 4.6517 2023-12-25 15:22:53,660 - pyskl - INFO - Epoch [36][2600/3746] lr: 8.667e-02, eta: 3 days, 2:59:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5062, loss_cls: 4.5956, loss: 4.5956 2023-12-25 15:23:53,223 - pyskl - INFO - Epoch [36][2700/3746] lr: 8.665e-02, eta: 3 days, 2:57:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2489, top5_acc: 0.4994, loss_cls: 4.6532, loss: 4.6532 2023-12-25 15:24:52,900 - pyskl - INFO - Epoch [36][2800/3746] lr: 8.663e-02, eta: 3 days, 2:56:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.5030, loss_cls: 4.6189, loss: 4.6189 2023-12-25 15:25:52,337 - pyskl - INFO - Epoch [36][2900/3746] lr: 8.661e-02, eta: 3 days, 2:55:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2437, top5_acc: 0.4961, loss_cls: 4.6674, loss: 4.6674 2023-12-25 15:26:52,537 - pyskl - INFO - Epoch [36][3000/3746] lr: 8.659e-02, eta: 3 days, 2:54:17, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5047, loss_cls: 4.6044, loss: 4.6044 2023-12-25 15:27:52,979 - pyskl - INFO - Epoch [36][3100/3746] lr: 8.657e-02, eta: 3 days, 2:53:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5120, loss_cls: 4.6024, loss: 4.6024 2023-12-25 15:28:53,780 - pyskl - INFO - Epoch [36][3200/3746] lr: 8.655e-02, eta: 3 days, 2:51:55, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.4920, loss_cls: 4.6671, loss: 4.6671 2023-12-25 15:29:54,006 - pyskl - INFO - Epoch [36][3300/3746] lr: 8.653e-02, eta: 3 days, 2:50:43, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5086, loss_cls: 4.6135, loss: 4.6135 2023-12-25 15:30:54,050 - pyskl - INFO - Epoch [36][3400/3746] lr: 8.651e-02, eta: 3 days, 2:49:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5108, loss_cls: 4.5770, loss: 4.5770 2023-12-25 15:31:54,996 - pyskl - INFO - Epoch [36][3500/3746] lr: 8.650e-02, eta: 3 days, 2:48:21, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2512, top5_acc: 0.4989, loss_cls: 4.6455, loss: 4.6455 2023-12-25 15:32:55,577 - pyskl - INFO - Epoch [36][3600/3746] lr: 8.648e-02, eta: 3 days, 2:47:10, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5105, loss_cls: 4.6121, loss: 4.6121 2023-12-25 15:33:56,094 - pyskl - INFO - Epoch [36][3700/3746] lr: 8.646e-02, eta: 3 days, 2:45:59, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5050, loss_cls: 4.6316, loss: 4.6316 2023-12-25 15:34:26,592 - pyskl - INFO - Saving checkpoint at 36 epochs 2023-12-25 15:36:27,966 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 15:36:29,045 - pyskl - INFO - top1_acc 0.1852 top5_acc 0.4139 2023-12-25 15:36:29,045 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 15:36:29,082 - pyskl - INFO - mean_acc 0.1851 2023-12-25 15:36:29,091 - pyskl - INFO - Epoch(val) [36][309] top1_acc: 0.1852, top5_acc: 0.4139, mean_class_accuracy: 0.1851 2023-12-25 15:39:49,731 - pyskl - INFO - Epoch [37][100/3746] lr: 8.643e-02, eta: 3 days, 2:50:11, time: 2.006, data_time: 1.405, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5033, loss_cls: 4.6050, loss: 4.6050 2023-12-25 15:40:50,406 - pyskl - INFO - Epoch [37][200/3746] lr: 8.641e-02, eta: 3 days, 2:49:00, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5069, loss_cls: 4.5725, loss: 4.5725 2023-12-25 15:41:50,738 - pyskl - INFO - Epoch [37][300/3746] lr: 8.639e-02, eta: 3 days, 2:47:48, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5225, loss_cls: 4.5485, loss: 4.5485 2023-12-25 15:42:51,090 - pyskl - INFO - Epoch [37][400/3746] lr: 8.637e-02, eta: 3 days, 2:46:37, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5014, loss_cls: 4.6280, loss: 4.6280 2023-12-25 15:43:51,617 - pyskl - INFO - Epoch [37][500/3746] lr: 8.635e-02, eta: 3 days, 2:45:25, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5088, loss_cls: 4.5817, loss: 4.5817 2023-12-25 15:44:51,600 - pyskl - INFO - Epoch [37][600/3746] lr: 8.633e-02, eta: 3 days, 2:44:13, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5089, loss_cls: 4.5887, loss: 4.5887 2023-12-25 15:45:51,518 - pyskl - INFO - Epoch [37][700/3746] lr: 8.631e-02, eta: 3 days, 2:42:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5012, loss_cls: 4.6196, loss: 4.6196 2023-12-25 15:46:51,435 - pyskl - INFO - Epoch [37][800/3746] lr: 8.630e-02, eta: 3 days, 2:41:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.5109, loss_cls: 4.6309, loss: 4.6309 2023-12-25 15:47:51,128 - pyskl - INFO - Epoch [37][900/3746] lr: 8.628e-02, eta: 3 days, 2:40:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.4981, loss_cls: 4.6143, loss: 4.6143 2023-12-25 15:48:50,733 - pyskl - INFO - Epoch [37][1000/3746] lr: 8.626e-02, eta: 3 days, 2:39:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5220, loss_cls: 4.5960, loss: 4.5960 2023-12-25 15:49:50,269 - pyskl - INFO - Epoch [37][1100/3746] lr: 8.624e-02, eta: 3 days, 2:38:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2491, top5_acc: 0.4950, loss_cls: 4.6282, loss: 4.6282 2023-12-25 15:50:49,698 - pyskl - INFO - Epoch [37][1200/3746] lr: 8.622e-02, eta: 3 days, 2:36:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2509, top5_acc: 0.4994, loss_cls: 4.6360, loss: 4.6360 2023-12-25 15:51:49,231 - pyskl - INFO - Epoch [37][1300/3746] lr: 8.620e-02, eta: 3 days, 2:35:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5112, loss_cls: 4.5891, loss: 4.5891 2023-12-25 15:52:48,942 - pyskl - INFO - Epoch [37][1400/3746] lr: 8.618e-02, eta: 3 days, 2:34:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5081, loss_cls: 4.6218, loss: 4.6218 2023-12-25 15:53:48,815 - pyskl - INFO - Epoch [37][1500/3746] lr: 8.616e-02, eta: 3 days, 2:33:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5078, loss_cls: 4.6152, loss: 4.6152 2023-12-25 15:54:48,441 - pyskl - INFO - Epoch [37][1600/3746] lr: 8.614e-02, eta: 3 days, 2:31:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5072, loss_cls: 4.5941, loss: 4.5941 2023-12-25 15:55:48,006 - pyskl - INFO - Epoch [37][1700/3746] lr: 8.612e-02, eta: 3 days, 2:30:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.5050, loss_cls: 4.6090, loss: 4.6090 2023-12-25 15:56:47,659 - pyskl - INFO - Epoch [37][1800/3746] lr: 8.610e-02, eta: 3 days, 2:29:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.4991, loss_cls: 4.6447, loss: 4.6447 2023-12-25 15:57:47,238 - pyskl - INFO - Epoch [37][1900/3746] lr: 8.608e-02, eta: 3 days, 2:28:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5053, loss_cls: 4.6053, loss: 4.6053 2023-12-25 15:58:46,832 - pyskl - INFO - Epoch [37][2000/3746] lr: 8.606e-02, eta: 3 days, 2:27:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5194, loss_cls: 4.5552, loss: 4.5552 2023-12-25 15:59:46,571 - pyskl - INFO - Epoch [37][2100/3746] lr: 8.604e-02, eta: 3 days, 2:25:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.4941, loss_cls: 4.6482, loss: 4.6482 2023-12-25 16:00:46,256 - pyskl - INFO - Epoch [37][2200/3746] lr: 8.602e-02, eta: 3 days, 2:24:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5100, loss_cls: 4.5960, loss: 4.5960 2023-12-25 16:01:46,011 - pyskl - INFO - Epoch [37][2300/3746] lr: 8.601e-02, eta: 3 days, 2:23:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5111, loss_cls: 4.5961, loss: 4.5961 2023-12-25 16:02:45,837 - pyskl - INFO - Epoch [37][2400/3746] lr: 8.599e-02, eta: 3 days, 2:22:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2534, top5_acc: 0.5067, loss_cls: 4.6177, loss: 4.6177 2023-12-25 16:03:45,466 - pyskl - INFO - Epoch [37][2500/3746] lr: 8.597e-02, eta: 3 days, 2:20:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5106, loss_cls: 4.6156, loss: 4.6156 2023-12-25 16:04:45,485 - pyskl - INFO - Epoch [37][2600/3746] lr: 8.595e-02, eta: 3 days, 2:19:41, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.5005, loss_cls: 4.6112, loss: 4.6112 2023-12-25 16:05:45,348 - pyskl - INFO - Epoch [37][2700/3746] lr: 8.593e-02, eta: 3 days, 2:18:28, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.4984, loss_cls: 4.6651, loss: 4.6651 2023-12-25 16:06:45,004 - pyskl - INFO - Epoch [37][2800/3746] lr: 8.591e-02, eta: 3 days, 2:17:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.5144, loss_cls: 4.6000, loss: 4.6000 2023-12-25 16:07:44,501 - pyskl - INFO - Epoch [37][2900/3746] lr: 8.589e-02, eta: 3 days, 2:16:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5170, loss_cls: 4.5785, loss: 4.5785 2023-12-25 16:08:44,264 - pyskl - INFO - Epoch [37][3000/3746] lr: 8.587e-02, eta: 3 days, 2:14:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5125, loss_cls: 4.6061, loss: 4.6061 2023-12-25 16:09:43,917 - pyskl - INFO - Epoch [37][3100/3746] lr: 8.585e-02, eta: 3 days, 2:13:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5052, loss_cls: 4.5946, loss: 4.5946 2023-12-25 16:10:43,546 - pyskl - INFO - Epoch [37][3200/3746] lr: 8.583e-02, eta: 3 days, 2:12:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5066, loss_cls: 4.5963, loss: 4.5963 2023-12-25 16:11:43,771 - pyskl - INFO - Epoch [37][3300/3746] lr: 8.581e-02, eta: 3 days, 2:11:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.4997, loss_cls: 4.6308, loss: 4.6308 2023-12-25 16:12:43,345 - pyskl - INFO - Epoch [37][3400/3746] lr: 8.579e-02, eta: 3 days, 2:09:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5056, loss_cls: 4.6175, loss: 4.6175 2023-12-25 16:13:43,219 - pyskl - INFO - Epoch [37][3500/3746] lr: 8.577e-02, eta: 3 days, 2:08:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.5053, loss_cls: 4.6177, loss: 4.6177 2023-12-25 16:14:43,930 - pyskl - INFO - Epoch [37][3600/3746] lr: 8.575e-02, eta: 3 days, 2:07:32, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.5006, loss_cls: 4.6236, loss: 4.6236 2023-12-25 16:15:43,773 - pyskl - INFO - Epoch [37][3700/3746] lr: 8.573e-02, eta: 3 days, 2:06:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5028, loss_cls: 4.6402, loss: 4.6402 2023-12-25 16:16:13,866 - pyskl - INFO - Saving checkpoint at 37 epochs 2023-12-25 16:18:11,334 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 16:18:12,116 - pyskl - INFO - top1_acc 0.1640 top5_acc 0.3817 2023-12-25 16:18:12,116 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 16:18:12,157 - pyskl - INFO - mean_acc 0.1637 2023-12-25 16:18:12,169 - pyskl - INFO - Epoch(val) [37][309] top1_acc: 0.1640, top5_acc: 0.3817, mean_class_accuracy: 0.1637 2023-12-25 16:21:30,277 - pyskl - INFO - Epoch [38][100/3746] lr: 8.570e-02, eta: 3 days, 2:10:11, time: 1.981, data_time: 1.381, memory: 16177, top1_acc: 0.2616, top5_acc: 0.5119, loss_cls: 4.5510, loss: 4.5510 2023-12-25 16:22:31,252 - pyskl - INFO - Epoch [38][200/3746] lr: 8.568e-02, eta: 3 days, 2:09:02, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5092, loss_cls: 4.5774, loss: 4.5774 2023-12-25 16:23:31,168 - pyskl - INFO - Epoch [38][300/3746] lr: 8.567e-02, eta: 3 days, 2:07:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5075, loss_cls: 4.5882, loss: 4.5882 2023-12-25 16:24:31,691 - pyskl - INFO - Epoch [38][400/3746] lr: 8.565e-02, eta: 3 days, 2:06:38, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5164, loss_cls: 4.5800, loss: 4.5800 2023-12-25 16:25:31,768 - pyskl - INFO - Epoch [38][500/3746] lr: 8.563e-02, eta: 3 days, 2:05:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5002, loss_cls: 4.6240, loss: 4.6240 2023-12-25 16:26:31,664 - pyskl - INFO - Epoch [38][600/3746] lr: 8.561e-02, eta: 3 days, 2:04:13, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5120, loss_cls: 4.6146, loss: 4.6146 2023-12-25 16:27:31,296 - pyskl - INFO - Epoch [38][700/3746] lr: 8.559e-02, eta: 3 days, 2:03:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5078, loss_cls: 4.6256, loss: 4.6256 2023-12-25 16:28:31,510 - pyskl - INFO - Epoch [38][800/3746] lr: 8.557e-02, eta: 3 days, 2:01:48, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5166, loss_cls: 4.5542, loss: 4.5542 2023-12-25 16:29:31,077 - pyskl - INFO - Epoch [38][900/3746] lr: 8.555e-02, eta: 3 days, 2:00:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2514, top5_acc: 0.5033, loss_cls: 4.6391, loss: 4.6391 2023-12-25 16:30:30,551 - pyskl - INFO - Epoch [38][1000/3746] lr: 8.553e-02, eta: 3 days, 1:59:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2598, top5_acc: 0.5109, loss_cls: 4.5990, loss: 4.5990 2023-12-25 16:31:30,399 - pyskl - INFO - Epoch [38][1100/3746] lr: 8.551e-02, eta: 3 days, 1:58:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5127, loss_cls: 4.5939, loss: 4.5939 2023-12-25 16:32:29,871 - pyskl - INFO - Epoch [38][1200/3746] lr: 8.549e-02, eta: 3 days, 1:56:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5050, loss_cls: 4.5943, loss: 4.5943 2023-12-25 16:33:29,406 - pyskl - INFO - Epoch [38][1300/3746] lr: 8.547e-02, eta: 3 days, 1:55:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5100, loss_cls: 4.6163, loss: 4.6163 2023-12-25 16:34:29,185 - pyskl - INFO - Epoch [38][1400/3746] lr: 8.545e-02, eta: 3 days, 1:54:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5198, loss_cls: 4.5474, loss: 4.5474 2023-12-25 16:35:28,645 - pyskl - INFO - Epoch [38][1500/3746] lr: 8.543e-02, eta: 3 days, 1:53:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.4952, loss_cls: 4.6060, loss: 4.6060 2023-12-25 16:36:28,359 - pyskl - INFO - Epoch [38][1600/3746] lr: 8.541e-02, eta: 3 days, 1:52:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5092, loss_cls: 4.5997, loss: 4.5997 2023-12-25 16:37:28,042 - pyskl - INFO - Epoch [38][1700/3746] lr: 8.539e-02, eta: 3 days, 1:50:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5095, loss_cls: 4.5921, loss: 4.5921 2023-12-25 16:38:27,602 - pyskl - INFO - Epoch [38][1800/3746] lr: 8.537e-02, eta: 3 days, 1:49:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5167, loss_cls: 4.5836, loss: 4.5836 2023-12-25 16:39:27,323 - pyskl - INFO - Epoch [38][1900/3746] lr: 8.535e-02, eta: 3 days, 1:48:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5130, loss_cls: 4.5933, loss: 4.5933 2023-12-25 16:40:27,897 - pyskl - INFO - Epoch [38][2000/3746] lr: 8.533e-02, eta: 3 days, 1:47:09, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5062, loss_cls: 4.6245, loss: 4.6245 2023-12-25 16:41:27,588 - pyskl - INFO - Epoch [38][2100/3746] lr: 8.531e-02, eta: 3 days, 1:45:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2497, top5_acc: 0.5014, loss_cls: 4.6371, loss: 4.6371 2023-12-25 16:42:27,612 - pyskl - INFO - Epoch [38][2200/3746] lr: 8.529e-02, eta: 3 days, 1:44:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5008, loss_cls: 4.6378, loss: 4.6378 2023-12-25 16:43:28,291 - pyskl - INFO - Epoch [38][2300/3746] lr: 8.527e-02, eta: 3 days, 1:43:34, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2459, top5_acc: 0.4970, loss_cls: 4.6587, loss: 4.6587 2023-12-25 16:44:28,521 - pyskl - INFO - Epoch [38][2400/3746] lr: 8.525e-02, eta: 3 days, 1:42:23, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5134, loss_cls: 4.5789, loss: 4.5789 2023-12-25 16:45:28,851 - pyskl - INFO - Epoch [38][2500/3746] lr: 8.523e-02, eta: 3 days, 1:41:11, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5153, loss_cls: 4.5696, loss: 4.5696 2023-12-25 16:46:28,744 - pyskl - INFO - Epoch [38][2600/3746] lr: 8.521e-02, eta: 3 days, 1:39:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5031, loss_cls: 4.6261, loss: 4.6261 2023-12-25 16:47:28,662 - pyskl - INFO - Epoch [38][2700/3746] lr: 8.519e-02, eta: 3 days, 1:38:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.5075, loss_cls: 4.6284, loss: 4.6284 2023-12-25 16:48:28,563 - pyskl - INFO - Epoch [38][2800/3746] lr: 8.517e-02, eta: 3 days, 1:37:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.5036, loss_cls: 4.6436, loss: 4.6436 2023-12-25 16:49:28,195 - pyskl - INFO - Epoch [38][2900/3746] lr: 8.515e-02, eta: 3 days, 1:36:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2473, top5_acc: 0.4989, loss_cls: 4.6550, loss: 4.6550 2023-12-25 16:50:27,985 - pyskl - INFO - Epoch [38][3000/3746] lr: 8.513e-02, eta: 3 days, 1:35:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2553, top5_acc: 0.5084, loss_cls: 4.6147, loss: 4.6147 2023-12-25 16:51:27,848 - pyskl - INFO - Epoch [38][3100/3746] lr: 8.511e-02, eta: 3 days, 1:33:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2550, top5_acc: 0.5027, loss_cls: 4.6231, loss: 4.6231 2023-12-25 16:52:27,777 - pyskl - INFO - Epoch [38][3200/3746] lr: 8.509e-02, eta: 3 days, 1:32:44, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.5105, loss_cls: 4.6427, loss: 4.6427 2023-12-25 16:53:27,719 - pyskl - INFO - Epoch [38][3300/3746] lr: 8.507e-02, eta: 3 days, 1:31:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5048, loss_cls: 4.6455, loss: 4.6455 2023-12-25 16:54:27,448 - pyskl - INFO - Epoch [38][3400/3746] lr: 8.505e-02, eta: 3 days, 1:30:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5012, loss_cls: 4.6379, loss: 4.6379 2023-12-25 16:55:27,366 - pyskl - INFO - Epoch [38][3500/3746] lr: 8.503e-02, eta: 3 days, 1:29:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5044, loss_cls: 4.6020, loss: 4.6020 2023-12-25 16:56:27,160 - pyskl - INFO - Epoch [38][3600/3746] lr: 8.501e-02, eta: 3 days, 1:27:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5077, loss_cls: 4.5962, loss: 4.5962 2023-12-25 16:57:27,505 - pyskl - INFO - Epoch [38][3700/3746] lr: 8.499e-02, eta: 3 days, 1:26:43, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5089, loss_cls: 4.5942, loss: 4.5942 2023-12-25 16:57:57,689 - pyskl - INFO - Saving checkpoint at 38 epochs 2023-12-25 17:00:00,392 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 17:00:01,247 - pyskl - INFO - top1_acc 0.1801 top5_acc 0.4109 2023-12-25 17:00:01,247 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 17:00:01,281 - pyskl - INFO - mean_acc 0.1798 2023-12-25 17:00:01,293 - pyskl - INFO - Epoch(val) [38][309] top1_acc: 0.1801, top5_acc: 0.4109, mean_class_accuracy: 0.1798 2023-12-25 17:03:20,296 - pyskl - INFO - Epoch [39][100/3746] lr: 8.496e-02, eta: 3 days, 1:30:26, time: 1.990, data_time: 1.392, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5255, loss_cls: 4.5199, loss: 4.5199 2023-12-25 17:04:21,297 - pyskl - INFO - Epoch [39][200/3746] lr: 8.494e-02, eta: 3 days, 1:29:17, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5139, loss_cls: 4.5872, loss: 4.5872 2023-12-25 17:05:21,764 - pyskl - INFO - Epoch [39][300/3746] lr: 8.492e-02, eta: 3 days, 1:28:06, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5078, loss_cls: 4.5884, loss: 4.5884 2023-12-25 17:06:21,925 - pyskl - INFO - Epoch [39][400/3746] lr: 8.490e-02, eta: 3 days, 1:26:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2536, top5_acc: 0.5095, loss_cls: 4.6100, loss: 4.6100 2023-12-25 17:07:22,007 - pyskl - INFO - Epoch [39][500/3746] lr: 8.488e-02, eta: 3 days, 1:25:43, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5052, loss_cls: 4.6122, loss: 4.6122 2023-12-25 17:08:22,009 - pyskl - INFO - Epoch [39][600/3746] lr: 8.486e-02, eta: 3 days, 1:24:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5167, loss_cls: 4.5755, loss: 4.5755 2023-12-25 17:09:22,215 - pyskl - INFO - Epoch [39][700/3746] lr: 8.484e-02, eta: 3 days, 1:23:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5197, loss_cls: 4.5607, loss: 4.5607 2023-12-25 17:10:22,277 - pyskl - INFO - Epoch [39][800/3746] lr: 8.482e-02, eta: 3 days, 1:22:07, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5169, loss_cls: 4.5704, loss: 4.5704 2023-12-25 17:11:21,912 - pyskl - INFO - Epoch [39][900/3746] lr: 8.480e-02, eta: 3 days, 1:20:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5208, loss_cls: 4.5699, loss: 4.5699 2023-12-25 17:12:21,484 - pyskl - INFO - Epoch [39][1000/3746] lr: 8.478e-02, eta: 3 days, 1:19:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5016, loss_cls: 4.6264, loss: 4.6264 2023-12-25 17:13:21,179 - pyskl - INFO - Epoch [39][1100/3746] lr: 8.476e-02, eta: 3 days, 1:18:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2520, top5_acc: 0.5127, loss_cls: 4.5967, loss: 4.5967 2023-12-25 17:14:21,278 - pyskl - INFO - Epoch [39][1200/3746] lr: 8.474e-02, eta: 3 days, 1:17:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2522, top5_acc: 0.5000, loss_cls: 4.6296, loss: 4.6296 2023-12-25 17:15:21,424 - pyskl - INFO - Epoch [39][1300/3746] lr: 8.472e-02, eta: 3 days, 1:16:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5073, loss_cls: 4.5873, loss: 4.5873 2023-12-25 17:16:21,604 - pyskl - INFO - Epoch [39][1400/3746] lr: 8.470e-02, eta: 3 days, 1:14:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5086, loss_cls: 4.6093, loss: 4.6093 2023-12-25 17:17:22,420 - pyskl - INFO - Epoch [39][1500/3746] lr: 8.468e-02, eta: 3 days, 1:13:44, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5116, loss_cls: 4.5752, loss: 4.5752 2023-12-25 17:18:22,805 - pyskl - INFO - Epoch [39][1600/3746] lr: 8.466e-02, eta: 3 days, 1:12:33, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2628, top5_acc: 0.5031, loss_cls: 4.5974, loss: 4.5974 2023-12-25 17:19:23,048 - pyskl - INFO - Epoch [39][1700/3746] lr: 8.464e-02, eta: 3 days, 1:11:22, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5039, loss_cls: 4.6150, loss: 4.6150 2023-12-25 17:20:22,833 - pyskl - INFO - Epoch [39][1800/3746] lr: 8.462e-02, eta: 3 days, 1:10:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.4998, loss_cls: 4.6389, loss: 4.6389 2023-12-25 17:21:23,471 - pyskl - INFO - Epoch [39][1900/3746] lr: 8.460e-02, eta: 3 days, 1:08:59, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.4995, loss_cls: 4.6423, loss: 4.6423 2023-12-25 17:22:23,696 - pyskl - INFO - Epoch [39][2000/3746] lr: 8.458e-02, eta: 3 days, 1:07:48, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5097, loss_cls: 4.6055, loss: 4.6055 2023-12-25 17:23:23,178 - pyskl - INFO - Epoch [39][2100/3746] lr: 8.456e-02, eta: 3 days, 1:06:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5061, loss_cls: 4.6070, loss: 4.6070 2023-12-25 17:24:23,171 - pyskl - INFO - Epoch [39][2200/3746] lr: 8.454e-02, eta: 3 days, 1:05:22, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5097, loss_cls: 4.6178, loss: 4.6178 2023-12-25 17:25:23,032 - pyskl - INFO - Epoch [39][2300/3746] lr: 8.452e-02, eta: 3 days, 1:04:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5062, loss_cls: 4.6019, loss: 4.6019 2023-12-25 17:26:22,993 - pyskl - INFO - Epoch [39][2400/3746] lr: 8.450e-02, eta: 3 days, 1:02:58, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2480, top5_acc: 0.4911, loss_cls: 4.6556, loss: 4.6556 2023-12-25 17:27:22,506 - pyskl - INFO - Epoch [39][2500/3746] lr: 8.448e-02, eta: 3 days, 1:01:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5109, loss_cls: 4.5838, loss: 4.5838 2023-12-25 17:28:22,000 - pyskl - INFO - Epoch [39][2600/3746] lr: 8.446e-02, eta: 3 days, 1:00:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2469, top5_acc: 0.4948, loss_cls: 4.6438, loss: 4.6438 2023-12-25 17:29:21,713 - pyskl - INFO - Epoch [39][2700/3746] lr: 8.444e-02, eta: 3 days, 0:59:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5053, loss_cls: 4.6010, loss: 4.6010 2023-12-25 17:30:20,958 - pyskl - INFO - Epoch [39][2800/3746] lr: 8.442e-02, eta: 3 days, 0:58:05, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5045, loss_cls: 4.6297, loss: 4.6297 2023-12-25 17:31:20,314 - pyskl - INFO - Epoch [39][2900/3746] lr: 8.440e-02, eta: 3 days, 0:56:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.4972, loss_cls: 4.6093, loss: 4.6093 2023-12-25 17:32:19,778 - pyskl - INFO - Epoch [39][3000/3746] lr: 8.438e-02, eta: 3 days, 0:55:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.4984, loss_cls: 4.6474, loss: 4.6474 2023-12-25 17:33:19,065 - pyskl - INFO - Epoch [39][3100/3746] lr: 8.436e-02, eta: 3 days, 0:54:25, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.4970, loss_cls: 4.6087, loss: 4.6087 2023-12-25 17:34:18,683 - pyskl - INFO - Epoch [39][3200/3746] lr: 8.434e-02, eta: 3 days, 0:53:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5045, loss_cls: 4.6128, loss: 4.6128 2023-12-25 17:35:18,545 - pyskl - INFO - Epoch [39][3300/3746] lr: 8.432e-02, eta: 3 days, 0:52:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5108, loss_cls: 4.5743, loss: 4.5743 2023-12-25 17:36:18,738 - pyskl - INFO - Epoch [39][3400/3746] lr: 8.430e-02, eta: 3 days, 0:50:49, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5041, loss_cls: 4.6172, loss: 4.6172 2023-12-25 17:37:18,668 - pyskl - INFO - Epoch [39][3500/3746] lr: 8.428e-02, eta: 3 days, 0:49:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2494, top5_acc: 0.4973, loss_cls: 4.6359, loss: 4.6359 2023-12-25 17:38:18,853 - pyskl - INFO - Epoch [39][3600/3746] lr: 8.426e-02, eta: 3 days, 0:48:26, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5139, loss_cls: 4.5767, loss: 4.5767 2023-12-25 17:39:18,670 - pyskl - INFO - Epoch [39][3700/3746] lr: 8.424e-02, eta: 3 days, 0:47:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5208, loss_cls: 4.5578, loss: 4.5578 2023-12-25 17:39:49,361 - pyskl - INFO - Saving checkpoint at 39 epochs 2023-12-25 17:41:49,309 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 17:41:50,399 - pyskl - INFO - top1_acc 0.1811 top5_acc 0.4066 2023-12-25 17:41:50,399 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 17:41:50,440 - pyskl - INFO - mean_acc 0.1808 2023-12-25 17:41:50,449 - pyskl - INFO - Epoch(val) [39][309] top1_acc: 0.1811, top5_acc: 0.4066, mean_class_accuracy: 0.1808 2023-12-25 17:45:08,172 - pyskl - INFO - Epoch [40][100/3746] lr: 8.421e-02, eta: 3 days, 0:50:42, time: 1.977, data_time: 1.383, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5175, loss_cls: 4.4983, loss: 4.4983 2023-12-25 17:46:08,397 - pyskl - INFO - Epoch [40][200/3746] lr: 8.419e-02, eta: 3 days, 0:49:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5152, loss_cls: 4.5620, loss: 4.5620 2023-12-25 17:47:09,392 - pyskl - INFO - Epoch [40][300/3746] lr: 8.417e-02, eta: 3 days, 0:48:22, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5094, loss_cls: 4.6046, loss: 4.6046 2023-12-25 17:48:09,160 - pyskl - INFO - Epoch [40][400/3746] lr: 8.415e-02, eta: 3 days, 0:47:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5231, loss_cls: 4.5063, loss: 4.5063 2023-12-25 17:49:09,428 - pyskl - INFO - Epoch [40][500/3746] lr: 8.413e-02, eta: 3 days, 0:45:59, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5191, loss_cls: 4.5400, loss: 4.5400 2023-12-25 17:50:09,619 - pyskl - INFO - Epoch [40][600/3746] lr: 8.411e-02, eta: 3 days, 0:44:47, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5009, loss_cls: 4.5995, loss: 4.5995 2023-12-25 17:51:08,876 - pyskl - INFO - Epoch [40][700/3746] lr: 8.408e-02, eta: 3 days, 0:43:34, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5169, loss_cls: 4.5563, loss: 4.5563 2023-12-25 17:52:08,799 - pyskl - INFO - Epoch [40][800/3746] lr: 8.406e-02, eta: 3 days, 0:42:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5061, loss_cls: 4.5863, loss: 4.5863 2023-12-25 17:53:08,353 - pyskl - INFO - Epoch [40][900/3746] lr: 8.404e-02, eta: 3 days, 0:41:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.5044, loss_cls: 4.6221, loss: 4.6221 2023-12-25 17:54:07,861 - pyskl - INFO - Epoch [40][1000/3746] lr: 8.402e-02, eta: 3 days, 0:39:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5070, loss_cls: 4.5982, loss: 4.5982 2023-12-25 17:55:07,462 - pyskl - INFO - Epoch [40][1100/3746] lr: 8.400e-02, eta: 3 days, 0:38:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5050, loss_cls: 4.6050, loss: 4.6050 2023-12-25 17:56:07,313 - pyskl - INFO - Epoch [40][1200/3746] lr: 8.398e-02, eta: 3 days, 0:37:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5045, loss_cls: 4.6012, loss: 4.6012 2023-12-25 17:57:06,990 - pyskl - INFO - Epoch [40][1300/3746] lr: 8.396e-02, eta: 3 days, 0:36:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5022, loss_cls: 4.6242, loss: 4.6242 2023-12-25 17:58:07,423 - pyskl - INFO - Epoch [40][1400/3746] lr: 8.394e-02, eta: 3 days, 0:35:08, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2470, top5_acc: 0.4970, loss_cls: 4.6290, loss: 4.6290 2023-12-25 17:59:08,082 - pyskl - INFO - Epoch [40][1500/3746] lr: 8.392e-02, eta: 3 days, 0:33:58, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5097, loss_cls: 4.6115, loss: 4.6115 2023-12-25 18:00:07,951 - pyskl - INFO - Epoch [40][1600/3746] lr: 8.390e-02, eta: 3 days, 0:32:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5061, loss_cls: 4.6121, loss: 4.6121 2023-12-25 18:01:07,885 - pyskl - INFO - Epoch [40][1700/3746] lr: 8.388e-02, eta: 3 days, 0:31:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5041, loss_cls: 4.6410, loss: 4.6410 2023-12-25 18:02:08,119 - pyskl - INFO - Epoch [40][1800/3746] lr: 8.386e-02, eta: 3 days, 0:30:23, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5111, loss_cls: 4.5851, loss: 4.5851 2023-12-25 18:03:07,939 - pyskl - INFO - Epoch [40][1900/3746] lr: 8.384e-02, eta: 3 days, 0:29:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5122, loss_cls: 4.5938, loss: 4.5938 2023-12-25 18:04:08,744 - pyskl - INFO - Epoch [40][2000/3746] lr: 8.382e-02, eta: 3 days, 0:28:02, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5078, loss_cls: 4.5933, loss: 4.5933 2023-12-25 18:05:09,750 - pyskl - INFO - Epoch [40][2100/3746] lr: 8.380e-02, eta: 3 days, 0:26:53, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5119, loss_cls: 4.5863, loss: 4.5863 2023-12-25 18:06:10,227 - pyskl - INFO - Epoch [40][2200/3746] lr: 8.378e-02, eta: 3 days, 0:25:43, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5184, loss_cls: 4.5634, loss: 4.5634 2023-12-25 18:07:10,026 - pyskl - INFO - Epoch [40][2300/3746] lr: 8.376e-02, eta: 3 days, 0:24:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5127, loss_cls: 4.5764, loss: 4.5764 2023-12-25 18:08:10,242 - pyskl - INFO - Epoch [40][2400/3746] lr: 8.374e-02, eta: 3 days, 0:23:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5044, loss_cls: 4.6117, loss: 4.6117 2023-12-25 18:09:10,076 - pyskl - INFO - Epoch [40][2500/3746] lr: 8.371e-02, eta: 3 days, 0:22:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5062, loss_cls: 4.6037, loss: 4.6037 2023-12-25 18:10:09,758 - pyskl - INFO - Epoch [40][2600/3746] lr: 8.369e-02, eta: 3 days, 0:20:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2541, top5_acc: 0.5047, loss_cls: 4.6152, loss: 4.6152 2023-12-25 18:11:09,306 - pyskl - INFO - Epoch [40][2700/3746] lr: 8.367e-02, eta: 3 days, 0:19:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2503, top5_acc: 0.5017, loss_cls: 4.6412, loss: 4.6412 2023-12-25 18:12:08,961 - pyskl - INFO - Epoch [40][2800/3746] lr: 8.365e-02, eta: 3 days, 0:18:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5195, loss_cls: 4.5421, loss: 4.5421 2023-12-25 18:13:08,657 - pyskl - INFO - Epoch [40][2900/3746] lr: 8.363e-02, eta: 3 days, 0:17:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5145, loss_cls: 4.5832, loss: 4.5832 2023-12-25 18:14:08,279 - pyskl - INFO - Epoch [40][3000/3746] lr: 8.361e-02, eta: 3 days, 0:16:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5038, loss_cls: 4.6140, loss: 4.6140 2023-12-25 18:15:07,786 - pyskl - INFO - Epoch [40][3100/3746] lr: 8.359e-02, eta: 3 days, 0:14:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2505, top5_acc: 0.5036, loss_cls: 4.6223, loss: 4.6223 2023-12-25 18:16:07,044 - pyskl - INFO - Epoch [40][3200/3746] lr: 8.357e-02, eta: 3 days, 0:13:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2498, top5_acc: 0.5041, loss_cls: 4.6373, loss: 4.6373 2023-12-25 18:17:06,731 - pyskl - INFO - Epoch [40][3300/3746] lr: 8.355e-02, eta: 3 days, 0:12:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5100, loss_cls: 4.5952, loss: 4.5952 2023-12-25 18:18:07,579 - pyskl - INFO - Epoch [40][3400/3746] lr: 8.353e-02, eta: 3 days, 0:11:18, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5039, loss_cls: 4.6227, loss: 4.6227 2023-12-25 18:19:08,168 - pyskl - INFO - Epoch [40][3500/3746] lr: 8.351e-02, eta: 3 days, 0:10:09, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5072, loss_cls: 4.5951, loss: 4.5951 2023-12-25 18:20:08,932 - pyskl - INFO - Epoch [40][3600/3746] lr: 8.349e-02, eta: 3 days, 0:08:59, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5155, loss_cls: 4.5837, loss: 4.5837 2023-12-25 18:21:08,849 - pyskl - INFO - Epoch [40][3700/3746] lr: 8.347e-02, eta: 3 days, 0:07:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.4964, loss_cls: 4.6369, loss: 4.6369 2023-12-25 18:21:39,199 - pyskl - INFO - Saving checkpoint at 40 epochs 2023-12-25 18:23:41,337 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 18:23:42,420 - pyskl - INFO - top1_acc 0.2097 top5_acc 0.4459 2023-12-25 18:23:42,420 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 18:23:42,468 - pyskl - INFO - mean_acc 0.2097 2023-12-25 18:23:42,479 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_33.pth was removed 2023-12-25 18:23:42,765 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. 2023-12-25 18:23:42,766 - pyskl - INFO - Best top1_acc is 0.2097 at 40 epoch. 2023-12-25 18:23:42,773 - pyskl - INFO - Epoch(val) [40][309] top1_acc: 0.2097, top5_acc: 0.4459, mean_class_accuracy: 0.2097 2023-12-25 18:26:59,360 - pyskl - INFO - Epoch [41][100/3746] lr: 8.344e-02, eta: 3 days, 0:11:03, time: 1.966, data_time: 1.371, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5231, loss_cls: 4.5355, loss: 4.5355 2023-12-25 18:27:59,261 - pyskl - INFO - Epoch [41][200/3746] lr: 8.342e-02, eta: 3 days, 0:09:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5072, loss_cls: 4.6100, loss: 4.6100 2023-12-25 18:28:59,412 - pyskl - INFO - Epoch [41][300/3746] lr: 8.339e-02, eta: 3 days, 0:08:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5136, loss_cls: 4.5577, loss: 4.5577 2023-12-25 18:29:59,283 - pyskl - INFO - Epoch [41][400/3746] lr: 8.337e-02, eta: 3 days, 0:07:28, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5144, loss_cls: 4.5667, loss: 4.5667 2023-12-25 18:30:59,330 - pyskl - INFO - Epoch [41][500/3746] lr: 8.335e-02, eta: 3 days, 0:06:17, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5173, loss_cls: 4.5574, loss: 4.5574 2023-12-25 18:31:59,709 - pyskl - INFO - Epoch [41][600/3746] lr: 8.333e-02, eta: 3 days, 0:05:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5145, loss_cls: 4.5579, loss: 4.5579 2023-12-25 18:32:59,775 - pyskl - INFO - Epoch [41][700/3746] lr: 8.331e-02, eta: 3 days, 0:03:55, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5064, loss_cls: 4.5829, loss: 4.5829 2023-12-25 18:33:59,594 - pyskl - INFO - Epoch [41][800/3746] lr: 8.329e-02, eta: 3 days, 0:02:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.5061, loss_cls: 4.6058, loss: 4.6058 2023-12-25 18:34:59,468 - pyskl - INFO - Epoch [41][900/3746] lr: 8.327e-02, eta: 3 days, 0:01:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5081, loss_cls: 4.6002, loss: 4.6002 2023-12-25 18:35:59,069 - pyskl - INFO - Epoch [41][1000/3746] lr: 8.325e-02, eta: 3 days, 0:00:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2550, top5_acc: 0.5098, loss_cls: 4.5681, loss: 4.5681 2023-12-25 18:36:58,649 - pyskl - INFO - Epoch [41][1100/3746] lr: 8.323e-02, eta: 2 days, 23:59:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5055, loss_cls: 4.6118, loss: 4.6118 2023-12-25 18:37:58,301 - pyskl - INFO - Epoch [41][1200/3746] lr: 8.321e-02, eta: 2 days, 23:57:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.4975, loss_cls: 4.6142, loss: 4.6142 2023-12-25 18:38:58,745 - pyskl - INFO - Epoch [41][1300/3746] lr: 8.319e-02, eta: 2 days, 23:56:44, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2539, top5_acc: 0.4989, loss_cls: 4.6023, loss: 4.6023 2023-12-25 18:39:58,596 - pyskl - INFO - Epoch [41][1400/3746] lr: 8.316e-02, eta: 2 days, 23:55:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2464, top5_acc: 0.4952, loss_cls: 4.6798, loss: 4.6798 2023-12-25 18:40:58,208 - pyskl - INFO - Epoch [41][1500/3746] lr: 8.314e-02, eta: 2 days, 23:54:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5036, loss_cls: 4.5720, loss: 4.5720 2023-12-25 18:41:57,748 - pyskl - INFO - Epoch [41][1600/3746] lr: 8.312e-02, eta: 2 days, 23:53:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5072, loss_cls: 4.5717, loss: 4.5717 2023-12-25 18:42:57,276 - pyskl - INFO - Epoch [41][1700/3746] lr: 8.310e-02, eta: 2 days, 23:51:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2502, top5_acc: 0.4967, loss_cls: 4.6547, loss: 4.6547 2023-12-25 18:43:56,978 - pyskl - INFO - Epoch [41][1800/3746] lr: 8.308e-02, eta: 2 days, 23:50:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5067, loss_cls: 4.5959, loss: 4.5959 2023-12-25 18:44:56,507 - pyskl - INFO - Epoch [41][1900/3746] lr: 8.306e-02, eta: 2 days, 23:49:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5064, loss_cls: 4.5829, loss: 4.5829 2023-12-25 18:45:56,501 - pyskl - INFO - Epoch [41][2000/3746] lr: 8.304e-02, eta: 2 days, 23:48:19, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5130, loss_cls: 4.5614, loss: 4.5614 2023-12-25 18:46:56,162 - pyskl - INFO - Epoch [41][2100/3746] lr: 8.302e-02, eta: 2 days, 23:47:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5108, loss_cls: 4.5290, loss: 4.5290 2023-12-25 18:47:55,655 - pyskl - INFO - Epoch [41][2200/3746] lr: 8.300e-02, eta: 2 days, 23:45:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5130, loss_cls: 4.5648, loss: 4.5648 2023-12-25 18:48:55,336 - pyskl - INFO - Epoch [41][2300/3746] lr: 8.298e-02, eta: 2 days, 23:44:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5064, loss_cls: 4.6054, loss: 4.6054 2023-12-25 18:49:54,815 - pyskl - INFO - Epoch [41][2400/3746] lr: 8.296e-02, eta: 2 days, 23:43:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2569, top5_acc: 0.4986, loss_cls: 4.5998, loss: 4.5998 2023-12-25 18:50:54,181 - pyskl - INFO - Epoch [41][2500/3746] lr: 8.293e-02, eta: 2 days, 23:42:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5152, loss_cls: 4.5647, loss: 4.5647 2023-12-25 18:51:53,909 - pyskl - INFO - Epoch [41][2600/3746] lr: 8.291e-02, eta: 2 days, 23:41:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5056, loss_cls: 4.6126, loss: 4.6126 2023-12-25 18:52:53,693 - pyskl - INFO - Epoch [41][2700/3746] lr: 8.289e-02, eta: 2 days, 23:39:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2589, top5_acc: 0.5103, loss_cls: 4.5715, loss: 4.5715 2023-12-25 18:53:53,698 - pyskl - INFO - Epoch [41][2800/3746] lr: 8.287e-02, eta: 2 days, 23:38:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2555, top5_acc: 0.5088, loss_cls: 4.6042, loss: 4.6042 2023-12-25 18:54:54,004 - pyskl - INFO - Epoch [41][2900/3746] lr: 8.285e-02, eta: 2 days, 23:37:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.5009, loss_cls: 4.6513, loss: 4.6513 2023-12-25 18:55:53,993 - pyskl - INFO - Epoch [41][3000/3746] lr: 8.283e-02, eta: 2 days, 23:36:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5070, loss_cls: 4.5822, loss: 4.5822 2023-12-25 18:56:54,033 - pyskl - INFO - Epoch [41][3100/3746] lr: 8.281e-02, eta: 2 days, 23:35:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.5044, loss_cls: 4.6247, loss: 4.6247 2023-12-25 18:57:53,887 - pyskl - INFO - Epoch [41][3200/3746] lr: 8.279e-02, eta: 2 days, 23:33:58, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5195, loss_cls: 4.5837, loss: 4.5837 2023-12-25 18:58:53,865 - pyskl - INFO - Epoch [41][3300/3746] lr: 8.277e-02, eta: 2 days, 23:32:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2525, top5_acc: 0.5053, loss_cls: 4.5948, loss: 4.5948 2023-12-25 18:59:53,529 - pyskl - INFO - Epoch [41][3400/3746] lr: 8.274e-02, eta: 2 days, 23:31:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5056, loss_cls: 4.6014, loss: 4.6014 2023-12-25 19:00:53,284 - pyskl - INFO - Epoch [41][3500/3746] lr: 8.272e-02, eta: 2 days, 23:30:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5094, loss_cls: 4.5743, loss: 4.5743 2023-12-25 19:01:53,032 - pyskl - INFO - Epoch [41][3600/3746] lr: 8.270e-02, eta: 2 days, 23:29:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5114, loss_cls: 4.6005, loss: 4.6005 2023-12-25 19:02:54,103 - pyskl - INFO - Epoch [41][3700/3746] lr: 8.268e-02, eta: 2 days, 23:28:03, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5136, loss_cls: 4.6018, loss: 4.6018 2023-12-25 19:03:24,426 - pyskl - INFO - Saving checkpoint at 41 epochs 2023-12-25 19:05:24,537 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 19:05:25,597 - pyskl - INFO - top1_acc 0.2205 top5_acc 0.4543 2023-12-25 19:05:25,597 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 19:05:25,641 - pyskl - INFO - mean_acc 0.2201 2023-12-25 19:05:25,647 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_40.pth was removed 2023-12-25 19:05:25,933 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. 2023-12-25 19:05:25,934 - pyskl - INFO - Best top1_acc is 0.2205 at 41 epoch. 2023-12-25 19:05:25,943 - pyskl - INFO - Epoch(val) [41][309] top1_acc: 0.2205, top5_acc: 0.4543, mean_class_accuracy: 0.2201 2023-12-25 19:08:42,249 - pyskl - INFO - Epoch [42][100/3746] lr: 8.265e-02, eta: 2 days, 23:31:08, time: 1.963, data_time: 1.366, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5223, loss_cls: 4.5216, loss: 4.5216 2023-12-25 19:09:42,262 - pyskl - INFO - Epoch [42][200/3746] lr: 8.263e-02, eta: 2 days, 23:29:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5206, loss_cls: 4.5204, loss: 4.5204 2023-12-25 19:10:43,001 - pyskl - INFO - Epoch [42][300/3746] lr: 8.261e-02, eta: 2 days, 23:28:48, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2564, top5_acc: 0.5112, loss_cls: 4.5760, loss: 4.5760 2023-12-25 19:11:42,777 - pyskl - INFO - Epoch [42][400/3746] lr: 8.259e-02, eta: 2 days, 23:27:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2533, top5_acc: 0.5073, loss_cls: 4.6320, loss: 4.6320 2023-12-25 19:12:42,557 - pyskl - INFO - Epoch [42][500/3746] lr: 8.257e-02, eta: 2 days, 23:26:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5103, loss_cls: 4.5864, loss: 4.5864 2023-12-25 19:13:42,849 - pyskl - INFO - Epoch [42][600/3746] lr: 8.254e-02, eta: 2 days, 23:25:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5111, loss_cls: 4.5789, loss: 4.5789 2023-12-25 19:14:43,150 - pyskl - INFO - Epoch [42][700/3746] lr: 8.252e-02, eta: 2 days, 23:24:04, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5144, loss_cls: 4.5533, loss: 4.5533 2023-12-25 19:15:43,139 - pyskl - INFO - Epoch [42][800/3746] lr: 8.250e-02, eta: 2 days, 23:22:52, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5208, loss_cls: 4.5683, loss: 4.5683 2023-12-25 19:16:43,198 - pyskl - INFO - Epoch [42][900/3746] lr: 8.248e-02, eta: 2 days, 23:21:41, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5084, loss_cls: 4.5526, loss: 4.5526 2023-12-25 19:17:42,657 - pyskl - INFO - Epoch [42][1000/3746] lr: 8.246e-02, eta: 2 days, 23:20:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5186, loss_cls: 4.5653, loss: 4.5653 2023-12-25 19:18:42,100 - pyskl - INFO - Epoch [42][1100/3746] lr: 8.244e-02, eta: 2 days, 23:19:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.4994, loss_cls: 4.6377, loss: 4.6377 2023-12-25 19:19:41,751 - pyskl - INFO - Epoch [42][1200/3746] lr: 8.242e-02, eta: 2 days, 23:18:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5011, loss_cls: 4.6306, loss: 4.6306 2023-12-25 19:20:41,271 - pyskl - INFO - Epoch [42][1300/3746] lr: 8.240e-02, eta: 2 days, 23:16:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5177, loss_cls: 4.5507, loss: 4.5507 2023-12-25 19:21:40,870 - pyskl - INFO - Epoch [42][1400/3746] lr: 8.237e-02, eta: 2 days, 23:15:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5114, loss_cls: 4.6070, loss: 4.6070 2023-12-25 19:22:40,606 - pyskl - INFO - Epoch [42][1500/3746] lr: 8.235e-02, eta: 2 days, 23:14:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2602, top5_acc: 0.5094, loss_cls: 4.6028, loss: 4.6028 2023-12-25 19:23:40,377 - pyskl - INFO - Epoch [42][1600/3746] lr: 8.233e-02, eta: 2 days, 23:13:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5097, loss_cls: 4.5611, loss: 4.5611 2023-12-25 19:24:41,078 - pyskl - INFO - Epoch [42][1700/3746] lr: 8.231e-02, eta: 2 days, 23:12:07, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5095, loss_cls: 4.5904, loss: 4.5904 2023-12-25 19:25:41,607 - pyskl - INFO - Epoch [42][1800/3746] lr: 8.229e-02, eta: 2 days, 23:10:58, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5083, loss_cls: 4.6109, loss: 4.6109 2023-12-25 19:26:41,890 - pyskl - INFO - Epoch [42][1900/3746] lr: 8.227e-02, eta: 2 days, 23:09:48, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2492, top5_acc: 0.5020, loss_cls: 4.6248, loss: 4.6248 2023-12-25 19:27:41,671 - pyskl - INFO - Epoch [42][2000/3746] lr: 8.225e-02, eta: 2 days, 23:08:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5111, loss_cls: 4.5763, loss: 4.5763 2023-12-25 19:28:41,184 - pyskl - INFO - Epoch [42][2100/3746] lr: 8.222e-02, eta: 2 days, 23:07:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5058, loss_cls: 4.6016, loss: 4.6016 2023-12-25 19:29:40,628 - pyskl - INFO - Epoch [42][2200/3746] lr: 8.220e-02, eta: 2 days, 23:06:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5061, loss_cls: 4.6170, loss: 4.6170 2023-12-25 19:30:40,141 - pyskl - INFO - Epoch [42][2300/3746] lr: 8.218e-02, eta: 2 days, 23:04:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5134, loss_cls: 4.5565, loss: 4.5565 2023-12-25 19:31:39,714 - pyskl - INFO - Epoch [42][2400/3746] lr: 8.216e-02, eta: 2 days, 23:03:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5022, loss_cls: 4.6079, loss: 4.6079 2023-12-25 19:32:39,273 - pyskl - INFO - Epoch [42][2500/3746] lr: 8.214e-02, eta: 2 days, 23:02:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2628, top5_acc: 0.5083, loss_cls: 4.5813, loss: 4.5813 2023-12-25 19:33:38,876 - pyskl - INFO - Epoch [42][2600/3746] lr: 8.212e-02, eta: 2 days, 23:01:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5283, loss_cls: 4.5419, loss: 4.5419 2023-12-25 19:34:39,087 - pyskl - INFO - Epoch [42][2700/3746] lr: 8.210e-02, eta: 2 days, 23:00:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2605, top5_acc: 0.5014, loss_cls: 4.6014, loss: 4.6014 2023-12-25 19:35:38,810 - pyskl - INFO - Epoch [42][2800/3746] lr: 8.207e-02, eta: 2 days, 22:59:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.4927, loss_cls: 4.6394, loss: 4.6394 2023-12-25 19:36:38,701 - pyskl - INFO - Epoch [42][2900/3746] lr: 8.205e-02, eta: 2 days, 22:57:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5047, loss_cls: 4.6101, loss: 4.6101 2023-12-25 19:37:38,767 - pyskl - INFO - Epoch [42][3000/3746] lr: 8.203e-02, eta: 2 days, 22:56:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5084, loss_cls: 4.6097, loss: 4.6097 2023-12-25 19:38:38,292 - pyskl - INFO - Epoch [42][3100/3746] lr: 8.201e-02, eta: 2 days, 22:55:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5078, loss_cls: 4.5855, loss: 4.5855 2023-12-25 19:39:37,724 - pyskl - INFO - Epoch [42][3200/3746] lr: 8.199e-02, eta: 2 days, 22:54:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5191, loss_cls: 4.5727, loss: 4.5727 2023-12-25 19:40:37,057 - pyskl - INFO - Epoch [42][3300/3746] lr: 8.197e-02, eta: 2 days, 22:53:03, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5209, loss_cls: 4.5669, loss: 4.5669 2023-12-25 19:41:36,715 - pyskl - INFO - Epoch [42][3400/3746] lr: 8.195e-02, eta: 2 days, 22:51:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2603, top5_acc: 0.5133, loss_cls: 4.5664, loss: 4.5664 2023-12-25 19:42:36,363 - pyskl - INFO - Epoch [42][3500/3746] lr: 8.192e-02, eta: 2 days, 22:50:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5027, loss_cls: 4.6174, loss: 4.6174 2023-12-25 19:43:35,822 - pyskl - INFO - Epoch [42][3600/3746] lr: 8.190e-02, eta: 2 days, 22:49:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5027, loss_cls: 4.6414, loss: 4.6414 2023-12-25 19:44:35,804 - pyskl - INFO - Epoch [42][3700/3746] lr: 8.188e-02, eta: 2 days, 22:48:17, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2609, top5_acc: 0.5044, loss_cls: 4.5850, loss: 4.5850 2023-12-25 19:45:06,111 - pyskl - INFO - Saving checkpoint at 42 epochs 2023-12-25 19:47:07,480 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 19:47:08,459 - pyskl - INFO - top1_acc 0.1902 top5_acc 0.4175 2023-12-25 19:47:08,459 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 19:47:08,491 - pyskl - INFO - mean_acc 0.1899 2023-12-25 19:47:08,499 - pyskl - INFO - Epoch(val) [42][309] top1_acc: 0.1902, top5_acc: 0.4175, mean_class_accuracy: 0.1899 2023-12-25 19:50:26,040 - pyskl - INFO - Epoch [43][100/3746] lr: 8.185e-02, eta: 2 days, 22:51:16, time: 1.975, data_time: 1.376, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5170, loss_cls: 4.5630, loss: 4.5630 2023-12-25 19:51:26,117 - pyskl - INFO - Epoch [43][200/3746] lr: 8.183e-02, eta: 2 days, 22:50:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5144, loss_cls: 4.5597, loss: 4.5597 2023-12-25 19:52:26,420 - pyskl - INFO - Epoch [43][300/3746] lr: 8.181e-02, eta: 2 days, 22:48:55, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2559, top5_acc: 0.5080, loss_cls: 4.6069, loss: 4.6069 2023-12-25 19:53:27,076 - pyskl - INFO - Epoch [43][400/3746] lr: 8.179e-02, eta: 2 days, 22:47:46, time: 0.607, data_time: 0.001, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5169, loss_cls: 4.5870, loss: 4.5870 2023-12-25 19:54:27,909 - pyskl - INFO - Epoch [43][500/3746] lr: 8.176e-02, eta: 2 days, 22:46:37, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5189, loss_cls: 4.5278, loss: 4.5278 2023-12-25 19:55:28,436 - pyskl - INFO - Epoch [43][600/3746] lr: 8.174e-02, eta: 2 days, 22:45:27, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5169, loss_cls: 4.5490, loss: 4.5490 2023-12-25 19:56:28,111 - pyskl - INFO - Epoch [43][700/3746] lr: 8.172e-02, eta: 2 days, 22:44:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5230, loss_cls: 4.5537, loss: 4.5537 2023-12-25 19:57:28,019 - pyskl - INFO - Epoch [43][800/3746] lr: 8.170e-02, eta: 2 days, 22:43:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5117, loss_cls: 4.5826, loss: 4.5826 2023-12-25 19:58:27,946 - pyskl - INFO - Epoch [43][900/3746] lr: 8.168e-02, eta: 2 days, 22:41:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5247, loss_cls: 4.5346, loss: 4.5346 2023-12-25 19:59:27,374 - pyskl - INFO - Epoch [43][1000/3746] lr: 8.166e-02, eta: 2 days, 22:40:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5006, loss_cls: 4.6241, loss: 4.6241 2023-12-25 20:00:26,798 - pyskl - INFO - Epoch [43][1100/3746] lr: 8.163e-02, eta: 2 days, 22:39:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5045, loss_cls: 4.6063, loss: 4.6063 2023-12-25 20:01:26,379 - pyskl - INFO - Epoch [43][1200/3746] lr: 8.161e-02, eta: 2 days, 22:38:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2523, top5_acc: 0.5002, loss_cls: 4.6232, loss: 4.6232 2023-12-25 20:02:25,596 - pyskl - INFO - Epoch [43][1300/3746] lr: 8.159e-02, eta: 2 days, 22:37:04, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5211, loss_cls: 4.5467, loss: 4.5467 2023-12-25 20:03:25,442 - pyskl - INFO - Epoch [43][1400/3746] lr: 8.157e-02, eta: 2 days, 22:35:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5130, loss_cls: 4.5561, loss: 4.5561 2023-12-25 20:04:24,919 - pyskl - INFO - Epoch [43][1500/3746] lr: 8.155e-02, eta: 2 days, 22:34:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5169, loss_cls: 4.5492, loss: 4.5492 2023-12-25 20:05:24,563 - pyskl - INFO - Epoch [43][1600/3746] lr: 8.153e-02, eta: 2 days, 22:33:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5136, loss_cls: 4.5698, loss: 4.5698 2023-12-25 20:06:24,506 - pyskl - INFO - Epoch [43][1700/3746] lr: 8.150e-02, eta: 2 days, 22:32:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5116, loss_cls: 4.5881, loss: 4.5881 2023-12-25 20:07:24,330 - pyskl - INFO - Epoch [43][1800/3746] lr: 8.148e-02, eta: 2 days, 22:31:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5058, loss_cls: 4.6187, loss: 4.6187 2023-12-25 20:08:23,872 - pyskl - INFO - Epoch [43][1900/3746] lr: 8.146e-02, eta: 2 days, 22:29:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5072, loss_cls: 4.5968, loss: 4.5968 2023-12-25 20:09:23,493 - pyskl - INFO - Epoch [43][2000/3746] lr: 8.144e-02, eta: 2 days, 22:28:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5106, loss_cls: 4.5792, loss: 4.5792 2023-12-25 20:10:23,156 - pyskl - INFO - Epoch [43][2100/3746] lr: 8.142e-02, eta: 2 days, 22:27:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2517, top5_acc: 0.5059, loss_cls: 4.6112, loss: 4.6112 2023-12-25 20:11:22,744 - pyskl - INFO - Epoch [43][2200/3746] lr: 8.140e-02, eta: 2 days, 22:26:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2575, top5_acc: 0.5219, loss_cls: 4.5844, loss: 4.5844 2023-12-25 20:12:22,570 - pyskl - INFO - Epoch [43][2300/3746] lr: 8.137e-02, eta: 2 days, 22:25:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2583, top5_acc: 0.5055, loss_cls: 4.5961, loss: 4.5961 2023-12-25 20:13:22,507 - pyskl - INFO - Epoch [43][2400/3746] lr: 8.135e-02, eta: 2 days, 22:23:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5077, loss_cls: 4.5741, loss: 4.5741 2023-12-25 20:14:23,200 - pyskl - INFO - Epoch [43][2500/3746] lr: 8.133e-02, eta: 2 days, 22:22:50, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2527, top5_acc: 0.5114, loss_cls: 4.5965, loss: 4.5965 2023-12-25 20:15:23,972 - pyskl - INFO - Epoch [43][2600/3746] lr: 8.131e-02, eta: 2 days, 22:21:41, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5142, loss_cls: 4.5785, loss: 4.5785 2023-12-25 20:16:23,605 - pyskl - INFO - Epoch [43][2700/3746] lr: 8.129e-02, eta: 2 days, 22:20:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5086, loss_cls: 4.5952, loss: 4.5952 2023-12-25 20:17:23,236 - pyskl - INFO - Epoch [43][2800/3746] lr: 8.126e-02, eta: 2 days, 22:19:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5055, loss_cls: 4.5882, loss: 4.5882 2023-12-25 20:18:22,730 - pyskl - INFO - Epoch [43][2900/3746] lr: 8.124e-02, eta: 2 days, 22:18:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5077, loss_cls: 4.6127, loss: 4.6127 2023-12-25 20:19:22,173 - pyskl - INFO - Epoch [43][3000/3746] lr: 8.122e-02, eta: 2 days, 22:16:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2584, top5_acc: 0.5173, loss_cls: 4.5917, loss: 4.5917 2023-12-25 20:20:21,652 - pyskl - INFO - Epoch [43][3100/3746] lr: 8.120e-02, eta: 2 days, 22:15:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5155, loss_cls: 4.5365, loss: 4.5365 2023-12-25 20:21:21,209 - pyskl - INFO - Epoch [43][3200/3746] lr: 8.118e-02, eta: 2 days, 22:14:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5159, loss_cls: 4.5812, loss: 4.5812 2023-12-25 20:22:20,839 - pyskl - INFO - Epoch [43][3300/3746] lr: 8.116e-02, eta: 2 days, 22:13:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5028, loss_cls: 4.5972, loss: 4.5972 2023-12-25 20:23:20,827 - pyskl - INFO - Epoch [43][3400/3746] lr: 8.113e-02, eta: 2 days, 22:12:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5161, loss_cls: 4.5958, loss: 4.5958 2023-12-25 20:24:20,491 - pyskl - INFO - Epoch [43][3500/3746] lr: 8.111e-02, eta: 2 days, 22:10:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5130, loss_cls: 4.5516, loss: 4.5516 2023-12-25 20:25:20,292 - pyskl - INFO - Epoch [43][3600/3746] lr: 8.109e-02, eta: 2 days, 22:09:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5047, loss_cls: 4.6171, loss: 4.6171 2023-12-25 20:26:20,978 - pyskl - INFO - Epoch [43][3700/3746] lr: 8.107e-02, eta: 2 days, 22:08:38, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5136, loss_cls: 4.5799, loss: 4.5799 2023-12-25 20:26:50,911 - pyskl - INFO - Saving checkpoint at 43 epochs 2023-12-25 20:28:51,675 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 20:28:52,417 - pyskl - INFO - top1_acc 0.1839 top5_acc 0.3988 2023-12-25 20:28:52,417 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 20:28:52,450 - pyskl - INFO - mean_acc 0.1840 2023-12-25 20:28:52,458 - pyskl - INFO - Epoch(val) [43][309] top1_acc: 0.1839, top5_acc: 0.3988, mean_class_accuracy: 0.1840 2023-12-25 20:32:14,215 - pyskl - INFO - Epoch [44][100/3746] lr: 8.104e-02, eta: 2 days, 22:11:39, time: 2.017, data_time: 1.417, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5206, loss_cls: 4.5233, loss: 4.5233 2023-12-25 20:33:15,002 - pyskl - INFO - Epoch [44][200/3746] lr: 8.101e-02, eta: 2 days, 22:10:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5198, loss_cls: 4.5377, loss: 4.5377 2023-12-25 20:34:14,714 - pyskl - INFO - Epoch [44][300/3746] lr: 8.099e-02, eta: 2 days, 22:09:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5222, loss_cls: 4.5257, loss: 4.5257 2023-12-25 20:35:14,903 - pyskl - INFO - Epoch [44][400/3746] lr: 8.097e-02, eta: 2 days, 22:08:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5252, loss_cls: 4.5313, loss: 4.5313 2023-12-25 20:36:14,415 - pyskl - INFO - Epoch [44][500/3746] lr: 8.095e-02, eta: 2 days, 22:06:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5261, loss_cls: 4.5248, loss: 4.5248 2023-12-25 20:37:14,538 - pyskl - INFO - Epoch [44][600/3746] lr: 8.093e-02, eta: 2 days, 22:05:47, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5109, loss_cls: 4.5655, loss: 4.5655 2023-12-25 20:38:14,683 - pyskl - INFO - Epoch [44][700/3746] lr: 8.090e-02, eta: 2 days, 22:04:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5119, loss_cls: 4.5864, loss: 4.5864 2023-12-25 20:39:14,224 - pyskl - INFO - Epoch [44][800/3746] lr: 8.088e-02, eta: 2 days, 22:03:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5223, loss_cls: 4.5377, loss: 4.5377 2023-12-25 20:40:14,173 - pyskl - INFO - Epoch [44][900/3746] lr: 8.086e-02, eta: 2 days, 22:02:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5234, loss_cls: 4.5459, loss: 4.5459 2023-12-25 20:41:13,773 - pyskl - INFO - Epoch [44][1000/3746] lr: 8.084e-02, eta: 2 days, 22:01:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5189, loss_cls: 4.5439, loss: 4.5439 2023-12-25 20:42:13,718 - pyskl - INFO - Epoch [44][1100/3746] lr: 8.082e-02, eta: 2 days, 21:59:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5159, loss_cls: 4.5675, loss: 4.5675 2023-12-25 20:43:13,386 - pyskl - INFO - Epoch [44][1200/3746] lr: 8.079e-02, eta: 2 days, 21:58:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5277, loss_cls: 4.5018, loss: 4.5018 2023-12-25 20:44:13,791 - pyskl - INFO - Epoch [44][1300/3746] lr: 8.077e-02, eta: 2 days, 21:57:31, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2511, top5_acc: 0.5088, loss_cls: 4.6167, loss: 4.6167 2023-12-25 20:45:14,688 - pyskl - INFO - Epoch [44][1400/3746] lr: 8.075e-02, eta: 2 days, 21:56:23, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.4969, loss_cls: 4.6212, loss: 4.6212 2023-12-25 20:46:14,893 - pyskl - INFO - Epoch [44][1500/3746] lr: 8.073e-02, eta: 2 days, 21:55:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5125, loss_cls: 4.5712, loss: 4.5712 2023-12-25 20:47:15,860 - pyskl - INFO - Epoch [44][1600/3746] lr: 8.071e-02, eta: 2 days, 21:54:04, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5044, loss_cls: 4.6041, loss: 4.6041 2023-12-25 20:48:15,895 - pyskl - INFO - Epoch [44][1700/3746] lr: 8.068e-02, eta: 2 days, 21:52:54, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5219, loss_cls: 4.5362, loss: 4.5362 2023-12-25 20:49:16,712 - pyskl - INFO - Epoch [44][1800/3746] lr: 8.066e-02, eta: 2 days, 21:51:46, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5184, loss_cls: 4.5552, loss: 4.5552 2023-12-25 20:50:16,397 - pyskl - INFO - Epoch [44][1900/3746] lr: 8.064e-02, eta: 2 days, 21:50:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5156, loss_cls: 4.6031, loss: 4.6031 2023-12-25 20:51:15,936 - pyskl - INFO - Epoch [44][2000/3746] lr: 8.062e-02, eta: 2 days, 21:49:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2528, top5_acc: 0.5052, loss_cls: 4.6022, loss: 4.6022 2023-12-25 20:52:16,094 - pyskl - INFO - Epoch [44][2100/3746] lr: 8.060e-02, eta: 2 days, 21:48:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5228, loss_cls: 4.5415, loss: 4.5415 2023-12-25 20:53:16,148 - pyskl - INFO - Epoch [44][2200/3746] lr: 8.057e-02, eta: 2 days, 21:47:03, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2597, top5_acc: 0.5038, loss_cls: 4.6135, loss: 4.6135 2023-12-25 20:54:15,841 - pyskl - INFO - Epoch [44][2300/3746] lr: 8.055e-02, eta: 2 days, 21:45:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5286, loss_cls: 4.5225, loss: 4.5225 2023-12-25 20:55:15,540 - pyskl - INFO - Epoch [44][2400/3746] lr: 8.053e-02, eta: 2 days, 21:44:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5058, loss_cls: 4.5602, loss: 4.5602 2023-12-25 20:56:15,897 - pyskl - INFO - Epoch [44][2500/3746] lr: 8.051e-02, eta: 2 days, 21:43:31, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5223, loss_cls: 4.5574, loss: 4.5574 2023-12-25 20:57:16,180 - pyskl - INFO - Epoch [44][2600/3746] lr: 8.048e-02, eta: 2 days, 21:42:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5077, loss_cls: 4.6015, loss: 4.6015 2023-12-25 20:58:16,708 - pyskl - INFO - Epoch [44][2700/3746] lr: 8.046e-02, eta: 2 days, 21:41:12, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5106, loss_cls: 4.5757, loss: 4.5757 2023-12-25 20:59:17,397 - pyskl - INFO - Epoch [44][2800/3746] lr: 8.044e-02, eta: 2 days, 21:40:03, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5102, loss_cls: 4.6137, loss: 4.6137 2023-12-25 21:00:17,544 - pyskl - INFO - Epoch [44][2900/3746] lr: 8.042e-02, eta: 2 days, 21:38:53, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5031, loss_cls: 4.6190, loss: 4.6190 2023-12-25 21:01:17,573 - pyskl - INFO - Epoch [44][3000/3746] lr: 8.040e-02, eta: 2 days, 21:37:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5148, loss_cls: 4.5425, loss: 4.5425 2023-12-25 21:02:17,492 - pyskl - INFO - Epoch [44][3100/3746] lr: 8.037e-02, eta: 2 days, 21:36:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.4973, loss_cls: 4.6579, loss: 4.6579 2023-12-25 21:03:17,360 - pyskl - INFO - Epoch [44][3200/3746] lr: 8.035e-02, eta: 2 days, 21:35:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2566, top5_acc: 0.5089, loss_cls: 4.5997, loss: 4.5997 2023-12-25 21:04:17,138 - pyskl - INFO - Epoch [44][3300/3746] lr: 8.033e-02, eta: 2 days, 21:34:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5134, loss_cls: 4.5682, loss: 4.5682 2023-12-25 21:05:16,952 - pyskl - INFO - Epoch [44][3400/3746] lr: 8.031e-02, eta: 2 days, 21:33:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2519, top5_acc: 0.5048, loss_cls: 4.5867, loss: 4.5867 2023-12-25 21:06:17,690 - pyskl - INFO - Epoch [44][3500/3746] lr: 8.028e-02, eta: 2 days, 21:31:52, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5102, loss_cls: 4.5709, loss: 4.5709 2023-12-25 21:07:18,513 - pyskl - INFO - Epoch [44][3600/3746] lr: 8.026e-02, eta: 2 days, 21:30:44, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2486, top5_acc: 0.5022, loss_cls: 4.6282, loss: 4.6282 2023-12-25 21:08:18,850 - pyskl - INFO - Epoch [44][3700/3746] lr: 8.024e-02, eta: 2 days, 21:29:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2530, top5_acc: 0.5061, loss_cls: 4.6114, loss: 4.6114 2023-12-25 21:08:48,646 - pyskl - INFO - Saving checkpoint at 44 epochs 2023-12-25 21:10:47,944 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 21:10:48,991 - pyskl - INFO - top1_acc 0.1673 top5_acc 0.3814 2023-12-25 21:10:48,991 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 21:10:49,029 - pyskl - INFO - mean_acc 0.1670 2023-12-25 21:10:49,038 - pyskl - INFO - Epoch(val) [44][309] top1_acc: 0.1673, top5_acc: 0.3814, mean_class_accuracy: 0.1670 2023-12-25 21:14:05,430 - pyskl - INFO - Epoch [45][100/3746] lr: 8.021e-02, eta: 2 days, 21:32:14, time: 1.964, data_time: 1.366, memory: 16177, top1_acc: 0.2544, top5_acc: 0.5114, loss_cls: 4.5810, loss: 4.5810 2023-12-25 21:15:05,379 - pyskl - INFO - Epoch [45][200/3746] lr: 8.019e-02, eta: 2 days, 21:31:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5202, loss_cls: 4.5380, loss: 4.5380 2023-12-25 21:16:05,233 - pyskl - INFO - Epoch [45][300/3746] lr: 8.016e-02, eta: 2 days, 21:29:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5197, loss_cls: 4.5202, loss: 4.5202 2023-12-25 21:17:05,547 - pyskl - INFO - Epoch [45][400/3746] lr: 8.014e-02, eta: 2 days, 21:28:43, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5125, loss_cls: 4.5775, loss: 4.5775 2023-12-25 21:18:04,996 - pyskl - INFO - Epoch [45][500/3746] lr: 8.012e-02, eta: 2 days, 21:27:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5152, loss_cls: 4.5442, loss: 4.5442 2023-12-25 21:19:05,556 - pyskl - INFO - Epoch [45][600/3746] lr: 8.010e-02, eta: 2 days, 21:26:22, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5223, loss_cls: 4.5056, loss: 4.5056 2023-12-25 21:20:06,296 - pyskl - INFO - Epoch [45][700/3746] lr: 8.007e-02, eta: 2 days, 21:25:13, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5097, loss_cls: 4.5488, loss: 4.5488 2023-12-25 21:21:05,995 - pyskl - INFO - Epoch [45][800/3746] lr: 8.005e-02, eta: 2 days, 21:24:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5241, loss_cls: 4.5329, loss: 4.5329 2023-12-25 21:22:05,854 - pyskl - INFO - Epoch [45][900/3746] lr: 8.003e-02, eta: 2 days, 21:22:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5181, loss_cls: 4.5258, loss: 4.5258 2023-12-25 21:23:05,803 - pyskl - INFO - Epoch [45][1000/3746] lr: 8.001e-02, eta: 2 days, 21:21:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5098, loss_cls: 4.5956, loss: 4.5956 2023-12-25 21:24:05,424 - pyskl - INFO - Epoch [45][1100/3746] lr: 7.998e-02, eta: 2 days, 21:20:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2592, top5_acc: 0.5062, loss_cls: 4.5845, loss: 4.5845 2023-12-25 21:25:05,061 - pyskl - INFO - Epoch [45][1200/3746] lr: 7.996e-02, eta: 2 days, 21:19:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2684, top5_acc: 0.5105, loss_cls: 4.5732, loss: 4.5732 2023-12-25 21:26:04,863 - pyskl - INFO - Epoch [45][1300/3746] lr: 7.994e-02, eta: 2 days, 21:18:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5092, loss_cls: 4.5627, loss: 4.5627 2023-12-25 21:27:04,750 - pyskl - INFO - Epoch [45][1400/3746] lr: 7.992e-02, eta: 2 days, 21:16:58, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5159, loss_cls: 4.5561, loss: 4.5561 2023-12-25 21:28:04,477 - pyskl - INFO - Epoch [45][1500/3746] lr: 7.990e-02, eta: 2 days, 21:15:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5070, loss_cls: 4.5790, loss: 4.5790 2023-12-25 21:29:04,449 - pyskl - INFO - Epoch [45][1600/3746] lr: 7.987e-02, eta: 2 days, 21:14:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5111, loss_cls: 4.6006, loss: 4.6006 2023-12-25 21:30:04,095 - pyskl - INFO - Epoch [45][1700/3746] lr: 7.985e-02, eta: 2 days, 21:13:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5183, loss_cls: 4.5549, loss: 4.5549 2023-12-25 21:31:04,144 - pyskl - INFO - Epoch [45][1800/3746] lr: 7.983e-02, eta: 2 days, 21:12:15, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5178, loss_cls: 4.5462, loss: 4.5462 2023-12-25 21:32:04,663 - pyskl - INFO - Epoch [45][1900/3746] lr: 7.981e-02, eta: 2 days, 21:11:06, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5112, loss_cls: 4.5969, loss: 4.5969 2023-12-25 21:33:04,746 - pyskl - INFO - Epoch [45][2000/3746] lr: 7.978e-02, eta: 2 days, 21:09:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5172, loss_cls: 4.5610, loss: 4.5610 2023-12-25 21:34:04,581 - pyskl - INFO - Epoch [45][2100/3746] lr: 7.976e-02, eta: 2 days, 21:08:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5128, loss_cls: 4.5669, loss: 4.5669 2023-12-25 21:35:04,449 - pyskl - INFO - Epoch [45][2200/3746] lr: 7.974e-02, eta: 2 days, 21:07:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5067, loss_cls: 4.5941, loss: 4.5941 2023-12-25 21:36:04,078 - pyskl - INFO - Epoch [45][2300/3746] lr: 7.972e-02, eta: 2 days, 21:06:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5262, loss_cls: 4.5141, loss: 4.5141 2023-12-25 21:37:03,984 - pyskl - INFO - Epoch [45][2400/3746] lr: 7.969e-02, eta: 2 days, 21:05:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5130, loss_cls: 4.5618, loss: 4.5618 2023-12-25 21:38:03,233 - pyskl - INFO - Epoch [45][2500/3746] lr: 7.967e-02, eta: 2 days, 21:04:02, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5148, loss_cls: 4.5726, loss: 4.5726 2023-12-25 21:39:02,910 - pyskl - INFO - Epoch [45][2600/3746] lr: 7.965e-02, eta: 2 days, 21:02:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5170, loss_cls: 4.5613, loss: 4.5613 2023-12-25 21:40:02,316 - pyskl - INFO - Epoch [45][2700/3746] lr: 7.963e-02, eta: 2 days, 21:01:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2608, top5_acc: 0.5070, loss_cls: 4.5892, loss: 4.5892 2023-12-25 21:41:02,304 - pyskl - INFO - Epoch [45][2800/3746] lr: 7.960e-02, eta: 2 days, 21:00:29, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2586, top5_acc: 0.5169, loss_cls: 4.5713, loss: 4.5713 2023-12-25 21:42:01,855 - pyskl - INFO - Epoch [45][2900/3746] lr: 7.958e-02, eta: 2 days, 20:59:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5108, loss_cls: 4.5591, loss: 4.5591 2023-12-25 21:43:01,444 - pyskl - INFO - Epoch [45][3000/3746] lr: 7.956e-02, eta: 2 days, 20:58:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5189, loss_cls: 4.5407, loss: 4.5407 2023-12-25 21:44:02,146 - pyskl - INFO - Epoch [45][3100/3746] lr: 7.954e-02, eta: 2 days, 20:56:59, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5103, loss_cls: 4.5577, loss: 4.5577 2023-12-25 21:45:02,640 - pyskl - INFO - Epoch [45][3200/3746] lr: 7.951e-02, eta: 2 days, 20:55:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2577, top5_acc: 0.5123, loss_cls: 4.6105, loss: 4.6105 2023-12-25 21:46:02,799 - pyskl - INFO - Epoch [45][3300/3746] lr: 7.949e-02, eta: 2 days, 20:54:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5081, loss_cls: 4.5903, loss: 4.5903 2023-12-25 21:47:02,344 - pyskl - INFO - Epoch [45][3400/3746] lr: 7.947e-02, eta: 2 days, 20:53:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5152, loss_cls: 4.5825, loss: 4.5825 2023-12-25 21:48:02,027 - pyskl - INFO - Epoch [45][3500/3746] lr: 7.945e-02, eta: 2 days, 20:52:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2627, top5_acc: 0.5194, loss_cls: 4.5391, loss: 4.5391 2023-12-25 21:49:01,569 - pyskl - INFO - Epoch [45][3600/3746] lr: 7.942e-02, eta: 2 days, 20:51:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2531, top5_acc: 0.5081, loss_cls: 4.6133, loss: 4.6133 2023-12-25 21:50:01,072 - pyskl - INFO - Epoch [45][3700/3746] lr: 7.940e-02, eta: 2 days, 20:49:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5103, loss_cls: 4.5792, loss: 4.5792 2023-12-25 21:50:31,449 - pyskl - INFO - Saving checkpoint at 45 epochs 2023-12-25 21:52:30,692 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 21:52:31,736 - pyskl - INFO - top1_acc 0.2033 top5_acc 0.4301 2023-12-25 21:52:31,736 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 21:52:31,776 - pyskl - INFO - mean_acc 0.2031 2023-12-25 21:52:31,785 - pyskl - INFO - Epoch(val) [45][309] top1_acc: 0.2033, top5_acc: 0.4301, mean_class_accuracy: 0.2031 2023-12-25 21:55:48,932 - pyskl - INFO - Epoch [46][100/3746] lr: 7.937e-02, eta: 2 days, 20:52:29, time: 1.971, data_time: 1.372, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5189, loss_cls: 4.5599, loss: 4.5599 2023-12-25 21:56:49,118 - pyskl - INFO - Epoch [46][200/3746] lr: 7.934e-02, eta: 2 days, 20:51:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5308, loss_cls: 4.5285, loss: 4.5285 2023-12-25 21:57:49,656 - pyskl - INFO - Epoch [46][300/3746] lr: 7.932e-02, eta: 2 days, 20:50:11, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2542, top5_acc: 0.5083, loss_cls: 4.5950, loss: 4.5950 2023-12-25 21:58:50,522 - pyskl - INFO - Epoch [46][400/3746] lr: 7.930e-02, eta: 2 days, 20:49:03, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5158, loss_cls: 4.5638, loss: 4.5638 2023-12-25 21:59:50,343 - pyskl - INFO - Epoch [46][500/3746] lr: 7.928e-02, eta: 2 days, 20:47:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5169, loss_cls: 4.5384, loss: 4.5384 2023-12-25 22:00:50,393 - pyskl - INFO - Epoch [46][600/3746] lr: 7.925e-02, eta: 2 days, 20:46:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5253, loss_cls: 4.5264, loss: 4.5264 2023-12-25 22:01:50,840 - pyskl - INFO - Epoch [46][700/3746] lr: 7.923e-02, eta: 2 days, 20:45:33, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2570, top5_acc: 0.5225, loss_cls: 4.5658, loss: 4.5658 2023-12-25 22:02:50,677 - pyskl - INFO - Epoch [46][800/3746] lr: 7.921e-02, eta: 2 days, 20:44:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5173, loss_cls: 4.5645, loss: 4.5645 2023-12-25 22:03:50,388 - pyskl - INFO - Epoch [46][900/3746] lr: 7.919e-02, eta: 2 days, 20:43:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5095, loss_cls: 4.5586, loss: 4.5586 2023-12-25 22:04:50,177 - pyskl - INFO - Epoch [46][1000/3746] lr: 7.916e-02, eta: 2 days, 20:42:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5092, loss_cls: 4.6035, loss: 4.6035 2023-12-25 22:05:50,005 - pyskl - INFO - Epoch [46][1100/3746] lr: 7.914e-02, eta: 2 days, 20:40:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2556, top5_acc: 0.5067, loss_cls: 4.5861, loss: 4.5861 2023-12-25 22:06:49,533 - pyskl - INFO - Epoch [46][1200/3746] lr: 7.912e-02, eta: 2 days, 20:39:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5173, loss_cls: 4.5610, loss: 4.5610 2023-12-25 22:07:49,525 - pyskl - INFO - Epoch [46][1300/3746] lr: 7.909e-02, eta: 2 days, 20:38:29, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2595, top5_acc: 0.5130, loss_cls: 4.5712, loss: 4.5712 2023-12-25 22:08:50,123 - pyskl - INFO - Epoch [46][1400/3746] lr: 7.907e-02, eta: 2 days, 20:37:21, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5161, loss_cls: 4.5581, loss: 4.5581 2023-12-25 22:09:50,882 - pyskl - INFO - Epoch [46][1500/3746] lr: 7.905e-02, eta: 2 days, 20:36:12, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5131, loss_cls: 4.5416, loss: 4.5416 2023-12-25 22:10:51,039 - pyskl - INFO - Epoch [46][1600/3746] lr: 7.903e-02, eta: 2 days, 20:35:03, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5092, loss_cls: 4.5954, loss: 4.5954 2023-12-25 22:11:50,636 - pyskl - INFO - Epoch [46][1700/3746] lr: 7.900e-02, eta: 2 days, 20:33:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2703, top5_acc: 0.5202, loss_cls: 4.5500, loss: 4.5500 2023-12-25 22:12:50,939 - pyskl - INFO - Epoch [46][1800/3746] lr: 7.898e-02, eta: 2 days, 20:32:43, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5177, loss_cls: 4.5394, loss: 4.5394 2023-12-25 22:13:51,142 - pyskl - INFO - Epoch [46][1900/3746] lr: 7.896e-02, eta: 2 days, 20:31:33, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5183, loss_cls: 4.5599, loss: 4.5599 2023-12-25 22:14:51,530 - pyskl - INFO - Epoch [46][2000/3746] lr: 7.894e-02, eta: 2 days, 20:30:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5128, loss_cls: 4.5624, loss: 4.5624 2023-12-25 22:15:52,306 - pyskl - INFO - Epoch [46][2100/3746] lr: 7.891e-02, eta: 2 days, 20:29:16, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5173, loss_cls: 4.5346, loss: 4.5346 2023-12-25 22:16:53,070 - pyskl - INFO - Epoch [46][2200/3746] lr: 7.889e-02, eta: 2 days, 20:28:08, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5142, loss_cls: 4.5375, loss: 4.5375 2023-12-25 22:17:53,617 - pyskl - INFO - Epoch [46][2300/3746] lr: 7.887e-02, eta: 2 days, 20:26:59, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5180, loss_cls: 4.5634, loss: 4.5634 2023-12-25 22:18:53,513 - pyskl - INFO - Epoch [46][2400/3746] lr: 7.884e-02, eta: 2 days, 20:25:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2562, top5_acc: 0.5059, loss_cls: 4.6278, loss: 4.6278 2023-12-25 22:19:53,862 - pyskl - INFO - Epoch [46][2500/3746] lr: 7.882e-02, eta: 2 days, 20:24:40, time: 0.603, data_time: 0.001, memory: 16177, top1_acc: 0.2641, top5_acc: 0.5061, loss_cls: 4.5868, loss: 4.5868 2023-12-25 22:20:53,674 - pyskl - INFO - Epoch [46][2600/3746] lr: 7.880e-02, eta: 2 days, 20:23:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5222, loss_cls: 4.5219, loss: 4.5219 2023-12-25 22:21:53,485 - pyskl - INFO - Epoch [46][2700/3746] lr: 7.878e-02, eta: 2 days, 20:22:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5120, loss_cls: 4.5967, loss: 4.5967 2023-12-25 22:22:53,469 - pyskl - INFO - Epoch [46][2800/3746] lr: 7.875e-02, eta: 2 days, 20:21:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5098, loss_cls: 4.5479, loss: 4.5479 2023-12-25 22:23:53,103 - pyskl - INFO - Epoch [46][2900/3746] lr: 7.873e-02, eta: 2 days, 20:19:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5134, loss_cls: 4.5767, loss: 4.5767 2023-12-25 22:24:53,043 - pyskl - INFO - Epoch [46][3000/3746] lr: 7.871e-02, eta: 2 days, 20:18:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5100, loss_cls: 4.5671, loss: 4.5671 2023-12-25 22:25:52,451 - pyskl - INFO - Epoch [46][3100/3746] lr: 7.868e-02, eta: 2 days, 20:17:37, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2664, top5_acc: 0.5191, loss_cls: 4.5659, loss: 4.5659 2023-12-25 22:26:51,849 - pyskl - INFO - Epoch [46][3200/3746] lr: 7.866e-02, eta: 2 days, 20:16:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2547, top5_acc: 0.5170, loss_cls: 4.5702, loss: 4.5702 2023-12-25 22:27:51,539 - pyskl - INFO - Epoch [46][3300/3746] lr: 7.864e-02, eta: 2 days, 20:15:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5088, loss_cls: 4.5969, loss: 4.5969 2023-12-25 22:28:51,306 - pyskl - INFO - Epoch [46][3400/3746] lr: 7.862e-02, eta: 2 days, 20:14:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5244, loss_cls: 4.5200, loss: 4.5200 2023-12-25 22:29:50,977 - pyskl - INFO - Epoch [46][3500/3746] lr: 7.859e-02, eta: 2 days, 20:12:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5180, loss_cls: 4.5626, loss: 4.5626 2023-12-25 22:30:50,901 - pyskl - INFO - Epoch [46][3600/3746] lr: 7.857e-02, eta: 2 days, 20:11:45, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2600, top5_acc: 0.5094, loss_cls: 4.6135, loss: 4.6135 2023-12-25 22:31:51,339 - pyskl - INFO - Epoch [46][3700/3746] lr: 7.855e-02, eta: 2 days, 20:10:36, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5123, loss_cls: 4.5248, loss: 4.5248 2023-12-25 22:32:21,718 - pyskl - INFO - Saving checkpoint at 46 epochs 2023-12-25 22:34:23,956 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 22:34:25,024 - pyskl - INFO - top1_acc 0.1784 top5_acc 0.3974 2023-12-25 22:34:25,024 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 22:34:25,065 - pyskl - INFO - mean_acc 0.1782 2023-12-25 22:34:25,075 - pyskl - INFO - Epoch(val) [46][309] top1_acc: 0.1784, top5_acc: 0.3974, mean_class_accuracy: 0.1782 2023-12-25 22:37:46,745 - pyskl - INFO - Epoch [47][100/3746] lr: 7.851e-02, eta: 2 days, 20:13:12, time: 2.017, data_time: 1.413, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5222, loss_cls: 4.5342, loss: 4.5342 2023-12-25 22:38:46,623 - pyskl - INFO - Epoch [47][200/3746] lr: 7.849e-02, eta: 2 days, 20:12:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2606, top5_acc: 0.5116, loss_cls: 4.5770, loss: 4.5770 2023-12-25 22:39:46,816 - pyskl - INFO - Epoch [47][300/3746] lr: 7.847e-02, eta: 2 days, 20:10:52, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5108, loss_cls: 4.5766, loss: 4.5766 2023-12-25 22:40:47,237 - pyskl - INFO - Epoch [47][400/3746] lr: 7.844e-02, eta: 2 days, 20:09:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5350, loss_cls: 4.4854, loss: 4.4854 2023-12-25 22:41:47,167 - pyskl - INFO - Epoch [47][500/3746] lr: 7.842e-02, eta: 2 days, 20:08:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5180, loss_cls: 4.5327, loss: 4.5327 2023-12-25 22:42:47,123 - pyskl - INFO - Epoch [47][600/3746] lr: 7.840e-02, eta: 2 days, 20:07:23, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5211, loss_cls: 4.5596, loss: 4.5596 2023-12-25 22:43:48,126 - pyskl - INFO - Epoch [47][700/3746] lr: 7.838e-02, eta: 2 days, 20:06:15, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2548, top5_acc: 0.5091, loss_cls: 4.6056, loss: 4.6056 2023-12-25 22:44:48,010 - pyskl - INFO - Epoch [47][800/3746] lr: 7.835e-02, eta: 2 days, 20:05:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5127, loss_cls: 4.5338, loss: 4.5338 2023-12-25 22:45:47,796 - pyskl - INFO - Epoch [47][900/3746] lr: 7.833e-02, eta: 2 days, 20:03:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5347, loss_cls: 4.5077, loss: 4.5077 2023-12-25 22:46:47,798 - pyskl - INFO - Epoch [47][1000/3746] lr: 7.831e-02, eta: 2 days, 20:02:45, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5116, loss_cls: 4.5785, loss: 4.5785 2023-12-25 22:47:47,294 - pyskl - INFO - Epoch [47][1100/3746] lr: 7.828e-02, eta: 2 days, 20:01:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2544, top5_acc: 0.5117, loss_cls: 4.5894, loss: 4.5894 2023-12-25 22:48:47,156 - pyskl - INFO - Epoch [47][1200/3746] lr: 7.826e-02, eta: 2 days, 20:00:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5214, loss_cls: 4.5481, loss: 4.5481 2023-12-25 22:49:46,788 - pyskl - INFO - Epoch [47][1300/3746] lr: 7.824e-02, eta: 2 days, 19:59:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5178, loss_cls: 4.5682, loss: 4.5682 2023-12-25 22:50:46,576 - pyskl - INFO - Epoch [47][1400/3746] lr: 7.821e-02, eta: 2 days, 19:58:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5116, loss_cls: 4.5813, loss: 4.5813 2023-12-25 22:51:46,990 - pyskl - INFO - Epoch [47][1500/3746] lr: 7.819e-02, eta: 2 days, 19:56:54, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5227, loss_cls: 4.5340, loss: 4.5340 2023-12-25 22:52:46,795 - pyskl - INFO - Epoch [47][1600/3746] lr: 7.817e-02, eta: 2 days, 19:55:44, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5255, loss_cls: 4.5246, loss: 4.5246 2023-12-25 22:53:46,545 - pyskl - INFO - Epoch [47][1700/3746] lr: 7.814e-02, eta: 2 days, 19:54:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5180, loss_cls: 4.5727, loss: 4.5727 2023-12-25 22:54:46,017 - pyskl - INFO - Epoch [47][1800/3746] lr: 7.812e-02, eta: 2 days, 19:53:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5133, loss_cls: 4.5667, loss: 4.5667 2023-12-25 22:55:46,053 - pyskl - INFO - Epoch [47][1900/3746] lr: 7.810e-02, eta: 2 days, 19:52:13, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5142, loss_cls: 4.5569, loss: 4.5569 2023-12-25 22:56:45,513 - pyskl - INFO - Epoch [47][2000/3746] lr: 7.808e-02, eta: 2 days, 19:51:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5242, loss_cls: 4.5035, loss: 4.5035 2023-12-25 22:57:45,392 - pyskl - INFO - Epoch [47][2100/3746] lr: 7.805e-02, eta: 2 days, 19:49:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5158, loss_cls: 4.5319, loss: 4.5319 2023-12-25 22:58:45,502 - pyskl - INFO - Epoch [47][2200/3746] lr: 7.803e-02, eta: 2 days, 19:48:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5128, loss_cls: 4.5712, loss: 4.5712 2023-12-25 22:59:45,508 - pyskl - INFO - Epoch [47][2300/3746] lr: 7.801e-02, eta: 2 days, 19:47:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5067, loss_cls: 4.5936, loss: 4.5936 2023-12-25 23:00:45,892 - pyskl - INFO - Epoch [47][2400/3746] lr: 7.798e-02, eta: 2 days, 19:46:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5117, loss_cls: 4.5588, loss: 4.5588 2023-12-25 23:01:46,670 - pyskl - INFO - Epoch [47][2500/3746] lr: 7.796e-02, eta: 2 days, 19:45:16, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5259, loss_cls: 4.5133, loss: 4.5133 2023-12-25 23:02:46,471 - pyskl - INFO - Epoch [47][2600/3746] lr: 7.794e-02, eta: 2 days, 19:44:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2628, top5_acc: 0.5211, loss_cls: 4.5334, loss: 4.5334 2023-12-25 23:03:46,250 - pyskl - INFO - Epoch [47][2700/3746] lr: 7.791e-02, eta: 2 days, 19:42:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5150, loss_cls: 4.5584, loss: 4.5584 2023-12-25 23:04:45,960 - pyskl - INFO - Epoch [47][2800/3746] lr: 7.789e-02, eta: 2 days, 19:41:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5167, loss_cls: 4.5505, loss: 4.5505 2023-12-25 23:05:45,750 - pyskl - INFO - Epoch [47][2900/3746] lr: 7.787e-02, eta: 2 days, 19:40:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5225, loss_cls: 4.5474, loss: 4.5474 2023-12-25 23:06:46,005 - pyskl - INFO - Epoch [47][3000/3746] lr: 7.784e-02, eta: 2 days, 19:39:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2581, top5_acc: 0.5088, loss_cls: 4.5960, loss: 4.5960 2023-12-25 23:07:45,642 - pyskl - INFO - Epoch [47][3100/3746] lr: 7.782e-02, eta: 2 days, 19:38:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5170, loss_cls: 4.5384, loss: 4.5384 2023-12-25 23:08:45,444 - pyskl - INFO - Epoch [47][3200/3746] lr: 7.780e-02, eta: 2 days, 19:37:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5186, loss_cls: 4.5261, loss: 4.5261 2023-12-25 23:09:45,201 - pyskl - INFO - Epoch [47][3300/3746] lr: 7.777e-02, eta: 2 days, 19:35:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2545, top5_acc: 0.5072, loss_cls: 4.5930, loss: 4.5930 2023-12-25 23:10:45,216 - pyskl - INFO - Epoch [47][3400/3746] lr: 7.775e-02, eta: 2 days, 19:34:46, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5277, loss_cls: 4.5322, loss: 4.5322 2023-12-25 23:11:44,997 - pyskl - INFO - Epoch [47][3500/3746] lr: 7.773e-02, eta: 2 days, 19:33:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5086, loss_cls: 4.6080, loss: 4.6080 2023-12-25 23:12:45,207 - pyskl - INFO - Epoch [47][3600/3746] lr: 7.770e-02, eta: 2 days, 19:32:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2552, top5_acc: 0.5123, loss_cls: 4.5738, loss: 4.5738 2023-12-25 23:13:46,114 - pyskl - INFO - Epoch [47][3700/3746] lr: 7.768e-02, eta: 2 days, 19:31:19, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5161, loss_cls: 4.5620, loss: 4.5620 2023-12-25 23:14:16,298 - pyskl - INFO - Saving checkpoint at 47 epochs 2023-12-25 23:16:18,465 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 23:16:19,558 - pyskl - INFO - top1_acc 0.1744 top5_acc 0.4055 2023-12-25 23:16:19,558 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 23:16:19,596 - pyskl - INFO - mean_acc 0.1744 2023-12-25 23:16:19,605 - pyskl - INFO - Epoch(val) [47][309] top1_acc: 0.1744, top5_acc: 0.4055, mean_class_accuracy: 0.1744 2023-12-25 23:19:36,293 - pyskl - INFO - Epoch [48][100/3746] lr: 7.765e-02, eta: 2 days, 19:33:36, time: 1.967, data_time: 1.369, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5241, loss_cls: 4.5536, loss: 4.5536 2023-12-25 23:20:36,336 - pyskl - INFO - Epoch [48][200/3746] lr: 7.762e-02, eta: 2 days, 19:32:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5175, loss_cls: 4.5421, loss: 4.5421 2023-12-25 23:21:36,133 - pyskl - INFO - Epoch [48][300/3746] lr: 7.760e-02, eta: 2 days, 19:31:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5286, loss_cls: 4.5371, loss: 4.5371 2023-12-25 23:22:36,085 - pyskl - INFO - Epoch [48][400/3746] lr: 7.758e-02, eta: 2 days, 19:30:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5300, loss_cls: 4.4840, loss: 4.4840 2023-12-25 23:23:36,159 - pyskl - INFO - Epoch [48][500/3746] lr: 7.755e-02, eta: 2 days, 19:28:57, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5127, loss_cls: 4.5473, loss: 4.5473 2023-12-25 23:24:35,782 - pyskl - INFO - Epoch [48][600/3746] lr: 7.753e-02, eta: 2 days, 19:27:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5206, loss_cls: 4.5184, loss: 4.5184 2023-12-25 23:25:36,006 - pyskl - INFO - Epoch [48][700/3746] lr: 7.751e-02, eta: 2 days, 19:26:38, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5192, loss_cls: 4.5278, loss: 4.5278 2023-12-25 23:26:36,294 - pyskl - INFO - Epoch [48][800/3746] lr: 7.748e-02, eta: 2 days, 19:25:29, time: 0.603, data_time: 0.001, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5175, loss_cls: 4.5752, loss: 4.5752 2023-12-25 23:27:36,172 - pyskl - INFO - Epoch [48][900/3746] lr: 7.746e-02, eta: 2 days, 19:24:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5173, loss_cls: 4.5409, loss: 4.5409 2023-12-25 23:28:35,943 - pyskl - INFO - Epoch [48][1000/3746] lr: 7.744e-02, eta: 2 days, 19:23:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5261, loss_cls: 4.5168, loss: 4.5168 2023-12-25 23:29:36,005 - pyskl - INFO - Epoch [48][1100/3746] lr: 7.741e-02, eta: 2 days, 19:21:59, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2537, top5_acc: 0.5109, loss_cls: 4.5860, loss: 4.5860 2023-12-25 23:30:35,758 - pyskl - INFO - Epoch [48][1200/3746] lr: 7.739e-02, eta: 2 days, 19:20:49, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5123, loss_cls: 4.5865, loss: 4.5865 2023-12-25 23:31:35,653 - pyskl - INFO - Epoch [48][1300/3746] lr: 7.737e-02, eta: 2 days, 19:19:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2587, top5_acc: 0.5064, loss_cls: 4.5881, loss: 4.5881 2023-12-25 23:32:35,097 - pyskl - INFO - Epoch [48][1400/3746] lr: 7.734e-02, eta: 2 days, 19:18:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5280, loss_cls: 4.4974, loss: 4.4974 2023-12-25 23:33:34,731 - pyskl - INFO - Epoch [48][1500/3746] lr: 7.732e-02, eta: 2 days, 19:17:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5116, loss_cls: 4.5777, loss: 4.5777 2023-12-25 23:34:35,090 - pyskl - INFO - Epoch [48][1600/3746] lr: 7.730e-02, eta: 2 days, 19:16:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5239, loss_cls: 4.5210, loss: 4.5210 2023-12-25 23:35:35,728 - pyskl - INFO - Epoch [48][1700/3746] lr: 7.727e-02, eta: 2 days, 19:15:01, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5175, loss_cls: 4.5476, loss: 4.5476 2023-12-25 23:36:36,358 - pyskl - INFO - Epoch [48][1800/3746] lr: 7.725e-02, eta: 2 days, 19:13:53, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5223, loss_cls: 4.5380, loss: 4.5380 2023-12-25 23:37:36,382 - pyskl - INFO - Epoch [48][1900/3746] lr: 7.723e-02, eta: 2 days, 19:12:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2648, top5_acc: 0.5212, loss_cls: 4.5355, loss: 4.5355 2023-12-25 23:38:35,883 - pyskl - INFO - Epoch [48][2000/3746] lr: 7.720e-02, eta: 2 days, 19:11:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2828, top5_acc: 0.5417, loss_cls: 4.4886, loss: 4.4886 2023-12-25 23:39:35,804 - pyskl - INFO - Epoch [48][2100/3746] lr: 7.718e-02, eta: 2 days, 19:10:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5155, loss_cls: 4.5725, loss: 4.5725 2023-12-25 23:40:35,919 - pyskl - INFO - Epoch [48][2200/3746] lr: 7.716e-02, eta: 2 days, 19:09:14, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5181, loss_cls: 4.5323, loss: 4.5323 2023-12-25 23:41:36,372 - pyskl - INFO - Epoch [48][2300/3746] lr: 7.713e-02, eta: 2 days, 19:08:05, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5114, loss_cls: 4.5725, loss: 4.5725 2023-12-25 23:42:37,107 - pyskl - INFO - Epoch [48][2400/3746] lr: 7.711e-02, eta: 2 days, 19:06:57, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2622, top5_acc: 0.5106, loss_cls: 4.5693, loss: 4.5693 2023-12-25 23:43:37,876 - pyskl - INFO - Epoch [48][2500/3746] lr: 7.709e-02, eta: 2 days, 19:05:49, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5147, loss_cls: 4.5700, loss: 4.5700 2023-12-25 23:44:37,733 - pyskl - INFO - Epoch [48][2600/3746] lr: 7.706e-02, eta: 2 days, 19:04:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5172, loss_cls: 4.5362, loss: 4.5362 2023-12-25 23:45:38,227 - pyskl - INFO - Epoch [48][2700/3746] lr: 7.704e-02, eta: 2 days, 19:03:31, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5212, loss_cls: 4.5212, loss: 4.5212 2023-12-25 23:46:39,081 - pyskl - INFO - Epoch [48][2800/3746] lr: 7.701e-02, eta: 2 days, 19:02:23, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5116, loss_cls: 4.5568, loss: 4.5568 2023-12-25 23:47:39,428 - pyskl - INFO - Epoch [48][2900/3746] lr: 7.699e-02, eta: 2 days, 19:01:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5248, loss_cls: 4.5142, loss: 4.5142 2023-12-25 23:48:39,892 - pyskl - INFO - Epoch [48][3000/3746] lr: 7.697e-02, eta: 2 days, 19:00:06, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5264, loss_cls: 4.5564, loss: 4.5564 2023-12-25 23:49:39,650 - pyskl - INFO - Epoch [48][3100/3746] lr: 7.694e-02, eta: 2 days, 18:58:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2612, top5_acc: 0.5223, loss_cls: 4.5494, loss: 4.5494 2023-12-25 23:50:39,153 - pyskl - INFO - Epoch [48][3200/3746] lr: 7.692e-02, eta: 2 days, 18:57:46, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5127, loss_cls: 4.5622, loss: 4.5622 2023-12-25 23:51:38,986 - pyskl - INFO - Epoch [48][3300/3746] lr: 7.690e-02, eta: 2 days, 18:56:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5152, loss_cls: 4.5315, loss: 4.5315 2023-12-25 23:52:38,935 - pyskl - INFO - Epoch [48][3400/3746] lr: 7.687e-02, eta: 2 days, 18:55:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2611, top5_acc: 0.5116, loss_cls: 4.5809, loss: 4.5809 2023-12-25 23:53:38,823 - pyskl - INFO - Epoch [48][3500/3746] lr: 7.685e-02, eta: 2 days, 18:54:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5184, loss_cls: 4.5481, loss: 4.5481 2023-12-25 23:54:38,449 - pyskl - INFO - Epoch [48][3600/3746] lr: 7.683e-02, eta: 2 days, 18:53:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5152, loss_cls: 4.5732, loss: 4.5732 2023-12-25 23:55:38,256 - pyskl - INFO - Epoch [48][3700/3746] lr: 7.680e-02, eta: 2 days, 18:51:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5175, loss_cls: 4.5571, loss: 4.5571 2023-12-25 23:56:08,392 - pyskl - INFO - Saving checkpoint at 48 epochs 2023-12-25 23:58:08,069 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 23:58:08,934 - pyskl - INFO - top1_acc 0.2099 top5_acc 0.4463 2023-12-25 23:58:08,935 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 23:58:08,973 - pyskl - INFO - mean_acc 0.2098 2023-12-25 23:58:08,985 - pyskl - INFO - Epoch(val) [48][309] top1_acc: 0.2099, top5_acc: 0.4463, mean_class_accuracy: 0.2098 2023-12-26 00:01:27,130 - pyskl - INFO - Epoch [49][100/3746] lr: 7.677e-02, eta: 2 days, 18:54:11, time: 1.981, data_time: 1.385, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5248, loss_cls: 4.5225, loss: 4.5225 2023-12-26 00:02:26,876 - pyskl - INFO - Epoch [49][200/3746] lr: 7.674e-02, eta: 2 days, 18:53:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2656, top5_acc: 0.5128, loss_cls: 4.5383, loss: 4.5383 2023-12-26 00:03:26,743 - pyskl - INFO - Epoch [49][300/3746] lr: 7.672e-02, eta: 2 days, 18:51:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5227, loss_cls: 4.5517, loss: 4.5517 2023-12-26 00:04:26,631 - pyskl - INFO - Epoch [49][400/3746] lr: 7.670e-02, eta: 2 days, 18:50:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5291, loss_cls: 4.4942, loss: 4.4942 2023-12-26 00:05:26,558 - pyskl - INFO - Epoch [49][500/3746] lr: 7.667e-02, eta: 2 days, 18:49:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5227, loss_cls: 4.5093, loss: 4.5093 2023-12-26 00:06:25,943 - pyskl - INFO - Epoch [49][600/3746] lr: 7.665e-02, eta: 2 days, 18:48:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5230, loss_cls: 4.5166, loss: 4.5166 2023-12-26 00:07:25,760 - pyskl - INFO - Epoch [49][700/3746] lr: 7.663e-02, eta: 2 days, 18:47:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5278, loss_cls: 4.5088, loss: 4.5088 2023-12-26 00:08:25,917 - pyskl - INFO - Epoch [49][800/3746] lr: 7.660e-02, eta: 2 days, 18:46:01, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5166, loss_cls: 4.5284, loss: 4.5284 2023-12-26 00:09:25,552 - pyskl - INFO - Epoch [49][900/3746] lr: 7.658e-02, eta: 2 days, 18:44:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5219, loss_cls: 4.5349, loss: 4.5349 2023-12-26 00:10:25,300 - pyskl - INFO - Epoch [49][1000/3746] lr: 7.656e-02, eta: 2 days, 18:43:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5198, loss_cls: 4.5414, loss: 4.5414 2023-12-26 00:11:24,699 - pyskl - INFO - Epoch [49][1100/3746] lr: 7.653e-02, eta: 2 days, 18:42:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5220, loss_cls: 4.5389, loss: 4.5389 2023-12-26 00:12:23,990 - pyskl - INFO - Epoch [49][1200/3746] lr: 7.651e-02, eta: 2 days, 18:41:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5184, loss_cls: 4.5615, loss: 4.5615 2023-12-26 00:13:23,828 - pyskl - INFO - Epoch [49][1300/3746] lr: 7.648e-02, eta: 2 days, 18:40:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5095, loss_cls: 4.5782, loss: 4.5782 2023-12-26 00:14:23,382 - pyskl - INFO - Epoch [49][1400/3746] lr: 7.646e-02, eta: 2 days, 18:39:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5202, loss_cls: 4.5277, loss: 4.5277 2023-12-26 00:15:23,048 - pyskl - INFO - Epoch [49][1500/3746] lr: 7.644e-02, eta: 2 days, 18:37:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2644, top5_acc: 0.5198, loss_cls: 4.5400, loss: 4.5400 2023-12-26 00:16:23,031 - pyskl - INFO - Epoch [49][1600/3746] lr: 7.641e-02, eta: 2 days, 18:36:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5092, loss_cls: 4.5427, loss: 4.5427 2023-12-26 00:17:22,469 - pyskl - INFO - Epoch [49][1700/3746] lr: 7.639e-02, eta: 2 days, 18:35:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5164, loss_cls: 4.5699, loss: 4.5699 2023-12-26 00:18:22,263 - pyskl - INFO - Epoch [49][1800/3746] lr: 7.637e-02, eta: 2 days, 18:34:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5142, loss_cls: 4.5416, loss: 4.5416 2023-12-26 00:19:22,038 - pyskl - INFO - Epoch [49][1900/3746] lr: 7.634e-02, eta: 2 days, 18:33:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5148, loss_cls: 4.5526, loss: 4.5526 2023-12-26 00:20:23,009 - pyskl - INFO - Epoch [49][2000/3746] lr: 7.632e-02, eta: 2 days, 18:32:03, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2652, top5_acc: 0.5086, loss_cls: 4.5756, loss: 4.5756 2023-12-26 00:21:23,241 - pyskl - INFO - Epoch [49][2100/3746] lr: 7.629e-02, eta: 2 days, 18:30:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5155, loss_cls: 4.5497, loss: 4.5497 2023-12-26 00:22:23,732 - pyskl - INFO - Epoch [49][2200/3746] lr: 7.627e-02, eta: 2 days, 18:29:46, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5141, loss_cls: 4.5390, loss: 4.5390 2023-12-26 00:23:23,971 - pyskl - INFO - Epoch [49][2300/3746] lr: 7.625e-02, eta: 2 days, 18:28:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5134, loss_cls: 4.5690, loss: 4.5690 2023-12-26 00:24:23,431 - pyskl - INFO - Epoch [49][2400/3746] lr: 7.622e-02, eta: 2 days, 18:27:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5133, loss_cls: 4.5809, loss: 4.5809 2023-12-26 00:25:22,926 - pyskl - INFO - Epoch [49][2500/3746] lr: 7.620e-02, eta: 2 days, 18:26:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5220, loss_cls: 4.5310, loss: 4.5310 2023-12-26 00:26:22,411 - pyskl - INFO - Epoch [49][2600/3746] lr: 7.618e-02, eta: 2 days, 18:25:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5156, loss_cls: 4.5599, loss: 4.5599 2023-12-26 00:27:21,775 - pyskl - INFO - Epoch [49][2700/3746] lr: 7.615e-02, eta: 2 days, 18:23:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5270, loss_cls: 4.5187, loss: 4.5187 2023-12-26 00:28:21,457 - pyskl - INFO - Epoch [49][2800/3746] lr: 7.613e-02, eta: 2 days, 18:22:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5188, loss_cls: 4.5395, loss: 4.5395 2023-12-26 00:29:21,105 - pyskl - INFO - Epoch [49][2900/3746] lr: 7.610e-02, eta: 2 days, 18:21:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5239, loss_cls: 4.4892, loss: 4.4892 2023-12-26 00:30:21,194 - pyskl - INFO - Epoch [49][3000/3746] lr: 7.608e-02, eta: 2 days, 18:20:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5175, loss_cls: 4.5642, loss: 4.5642 2023-12-26 00:31:21,446 - pyskl - INFO - Epoch [49][3100/3746] lr: 7.606e-02, eta: 2 days, 18:19:17, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5280, loss_cls: 4.5325, loss: 4.5325 2023-12-26 00:32:21,560 - pyskl - INFO - Epoch [49][3200/3746] lr: 7.603e-02, eta: 2 days, 18:18:08, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5241, loss_cls: 4.5476, loss: 4.5476 2023-12-26 00:33:21,413 - pyskl - INFO - Epoch [49][3300/3746] lr: 7.601e-02, eta: 2 days, 18:16:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5128, loss_cls: 4.5669, loss: 4.5669 2023-12-26 00:34:21,280 - pyskl - INFO - Epoch [49][3400/3746] lr: 7.598e-02, eta: 2 days, 18:15:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5202, loss_cls: 4.5359, loss: 4.5359 2023-12-26 00:35:20,502 - pyskl - INFO - Epoch [49][3500/3746] lr: 7.596e-02, eta: 2 days, 18:14:39, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5178, loss_cls: 4.5467, loss: 4.5467 2023-12-26 00:36:19,985 - pyskl - INFO - Epoch [49][3600/3746] lr: 7.594e-02, eta: 2 days, 18:13:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5194, loss_cls: 4.5418, loss: 4.5418 2023-12-26 00:37:19,396 - pyskl - INFO - Epoch [49][3700/3746] lr: 7.591e-02, eta: 2 days, 18:12:18, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5097, loss_cls: 4.5665, loss: 4.5665 2023-12-26 00:37:49,755 - pyskl - INFO - Saving checkpoint at 49 epochs 2023-12-26 00:39:48,479 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 00:39:49,222 - pyskl - INFO - top1_acc 0.2008 top5_acc 0.4296 2023-12-26 00:39:49,222 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 00:39:49,252 - pyskl - INFO - mean_acc 0.2006 2023-12-26 00:39:49,259 - pyskl - INFO - Epoch(val) [49][309] top1_acc: 0.2008, top5_acc: 0.4296, mean_class_accuracy: 0.2006 2023-12-26 00:43:03,959 - pyskl - INFO - Epoch [50][100/3746] lr: 7.588e-02, eta: 2 days, 18:14:18, time: 1.947, data_time: 1.351, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5227, loss_cls: 4.5131, loss: 4.5131 2023-12-26 00:44:03,419 - pyskl - INFO - Epoch [50][200/3746] lr: 7.585e-02, eta: 2 days, 18:13:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5330, loss_cls: 4.5182, loss: 4.5182 2023-12-26 00:45:03,118 - pyskl - INFO - Epoch [50][300/3746] lr: 7.583e-02, eta: 2 days, 18:11:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5214, loss_cls: 4.5561, loss: 4.5561 2023-12-26 00:46:03,187 - pyskl - INFO - Epoch [50][400/3746] lr: 7.581e-02, eta: 2 days, 18:10:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5395, loss_cls: 4.4677, loss: 4.4677 2023-12-26 00:47:03,282 - pyskl - INFO - Epoch [50][500/3746] lr: 7.578e-02, eta: 2 days, 18:09:39, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5247, loss_cls: 4.5564, loss: 4.5564 2023-12-26 00:48:03,244 - pyskl - INFO - Epoch [50][600/3746] lr: 7.576e-02, eta: 2 days, 18:08:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5167, loss_cls: 4.5178, loss: 4.5178 2023-12-26 00:49:03,268 - pyskl - INFO - Epoch [50][700/3746] lr: 7.573e-02, eta: 2 days, 18:07:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5191, loss_cls: 4.5421, loss: 4.5421 2023-12-26 00:50:03,268 - pyskl - INFO - Epoch [50][800/3746] lr: 7.571e-02, eta: 2 days, 18:06:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5141, loss_cls: 4.5694, loss: 4.5694 2023-12-26 00:51:03,213 - pyskl - INFO - Epoch [50][900/3746] lr: 7.569e-02, eta: 2 days, 18:05:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5194, loss_cls: 4.5500, loss: 4.5500 2023-12-26 00:52:02,894 - pyskl - INFO - Epoch [50][1000/3746] lr: 7.566e-02, eta: 2 days, 18:03:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2591, top5_acc: 0.5086, loss_cls: 4.5886, loss: 4.5886 2023-12-26 00:53:02,516 - pyskl - INFO - Epoch [50][1100/3746] lr: 7.564e-02, eta: 2 days, 18:02:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5222, loss_cls: 4.5216, loss: 4.5216 2023-12-26 00:54:02,080 - pyskl - INFO - Epoch [50][1200/3746] lr: 7.561e-02, eta: 2 days, 18:01:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5305, loss_cls: 4.5226, loss: 4.5226 2023-12-26 00:55:01,705 - pyskl - INFO - Epoch [50][1300/3746] lr: 7.559e-02, eta: 2 days, 18:00:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5197, loss_cls: 4.5354, loss: 4.5354 2023-12-26 00:56:02,019 - pyskl - INFO - Epoch [50][1400/3746] lr: 7.557e-02, eta: 2 days, 17:59:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5169, loss_cls: 4.5311, loss: 4.5311 2023-12-26 00:57:01,895 - pyskl - INFO - Epoch [50][1500/3746] lr: 7.554e-02, eta: 2 days, 17:58:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5161, loss_cls: 4.5526, loss: 4.5526 2023-12-26 00:58:01,657 - pyskl - INFO - Epoch [50][1600/3746] lr: 7.552e-02, eta: 2 days, 17:56:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5141, loss_cls: 4.5539, loss: 4.5539 2023-12-26 00:59:01,639 - pyskl - INFO - Epoch [50][1700/3746] lr: 7.549e-02, eta: 2 days, 17:55:45, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5295, loss_cls: 4.5074, loss: 4.5074 2023-12-26 01:00:01,555 - pyskl - INFO - Epoch [50][1800/3746] lr: 7.547e-02, eta: 2 days, 17:54:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5205, loss_cls: 4.5444, loss: 4.5444 2023-12-26 01:01:01,055 - pyskl - INFO - Epoch [50][1900/3746] lr: 7.545e-02, eta: 2 days, 17:53:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2594, top5_acc: 0.5217, loss_cls: 4.5457, loss: 4.5457 2023-12-26 01:02:00,607 - pyskl - INFO - Epoch [50][2000/3746] lr: 7.542e-02, eta: 2 days, 17:52:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5256, loss_cls: 4.5263, loss: 4.5263 2023-12-26 01:03:01,052 - pyskl - INFO - Epoch [50][2100/3746] lr: 7.540e-02, eta: 2 days, 17:51:08, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5156, loss_cls: 4.5647, loss: 4.5647 2023-12-26 01:04:00,896 - pyskl - INFO - Epoch [50][2200/3746] lr: 7.537e-02, eta: 2 days, 17:49:58, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5155, loss_cls: 4.5635, loss: 4.5635 2023-12-26 01:05:01,144 - pyskl - INFO - Epoch [50][2300/3746] lr: 7.535e-02, eta: 2 days, 17:48:50, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5191, loss_cls: 4.5392, loss: 4.5392 2023-12-26 01:06:01,427 - pyskl - INFO - Epoch [50][2400/3746] lr: 7.533e-02, eta: 2 days, 17:47:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5250, loss_cls: 4.5047, loss: 4.5047 2023-12-26 01:07:02,149 - pyskl - INFO - Epoch [50][2500/3746] lr: 7.530e-02, eta: 2 days, 17:46:33, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5244, loss_cls: 4.5177, loss: 4.5177 2023-12-26 01:08:02,066 - pyskl - INFO - Epoch [50][2600/3746] lr: 7.528e-02, eta: 2 days, 17:45:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5233, loss_cls: 4.5227, loss: 4.5227 2023-12-26 01:09:01,602 - pyskl - INFO - Epoch [50][2700/3746] lr: 7.525e-02, eta: 2 days, 17:44:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2617, top5_acc: 0.5084, loss_cls: 4.5806, loss: 4.5806 2023-12-26 01:10:01,364 - pyskl - INFO - Epoch [50][2800/3746] lr: 7.523e-02, eta: 2 days, 17:43:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5195, loss_cls: 4.5339, loss: 4.5339 2023-12-26 01:11:01,125 - pyskl - INFO - Epoch [50][2900/3746] lr: 7.520e-02, eta: 2 days, 17:41:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2630, top5_acc: 0.5127, loss_cls: 4.5871, loss: 4.5871 2023-12-26 01:12:00,724 - pyskl - INFO - Epoch [50][3000/3746] lr: 7.518e-02, eta: 2 days, 17:40:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5198, loss_cls: 4.5355, loss: 4.5355 2023-12-26 01:13:00,559 - pyskl - INFO - Epoch [50][3100/3746] lr: 7.516e-02, eta: 2 days, 17:39:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5331, loss_cls: 4.4961, loss: 4.4961 2023-12-26 01:14:00,578 - pyskl - INFO - Epoch [50][3200/3746] lr: 7.513e-02, eta: 2 days, 17:38:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5298, loss_cls: 4.5521, loss: 4.5521 2023-12-26 01:15:00,547 - pyskl - INFO - Epoch [50][3300/3746] lr: 7.511e-02, eta: 2 days, 17:37:18, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2623, top5_acc: 0.5050, loss_cls: 4.5844, loss: 4.5844 2023-12-26 01:16:00,155 - pyskl - INFO - Epoch [50][3400/3746] lr: 7.508e-02, eta: 2 days, 17:36:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5308, loss_cls: 4.5040, loss: 4.5040 2023-12-26 01:16:59,625 - pyskl - INFO - Epoch [50][3500/3746] lr: 7.506e-02, eta: 2 days, 17:34:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2678, top5_acc: 0.5200, loss_cls: 4.5216, loss: 4.5216 2023-12-26 01:17:58,833 - pyskl - INFO - Epoch [50][3600/3746] lr: 7.504e-02, eta: 2 days, 17:33:48, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2675, top5_acc: 0.5195, loss_cls: 4.5434, loss: 4.5434 2023-12-26 01:18:58,256 - pyskl - INFO - Epoch [50][3700/3746] lr: 7.501e-02, eta: 2 days, 17:32:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5266, loss_cls: 4.4988, loss: 4.4988 2023-12-26 01:19:28,488 - pyskl - INFO - Saving checkpoint at 50 epochs 2023-12-26 01:21:28,375 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 01:21:29,142 - pyskl - INFO - top1_acc 0.2075 top5_acc 0.4326 2023-12-26 01:21:29,142 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 01:21:29,180 - pyskl - INFO - mean_acc 0.2073 2023-12-26 01:21:29,190 - pyskl - INFO - Epoch(val) [50][309] top1_acc: 0.2075, top5_acc: 0.4326, mean_class_accuracy: 0.2073 2023-12-26 01:24:48,720 - pyskl - INFO - Epoch [51][100/3746] lr: 7.498e-02, eta: 2 days, 17:34:41, time: 1.995, data_time: 1.391, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5283, loss_cls: 4.5075, loss: 4.5075 2023-12-26 01:25:48,472 - pyskl - INFO - Epoch [51][200/3746] lr: 7.495e-02, eta: 2 days, 17:33:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5194, loss_cls: 4.5298, loss: 4.5298 2023-12-26 01:26:48,458 - pyskl - INFO - Epoch [51][300/3746] lr: 7.493e-02, eta: 2 days, 17:32:22, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2567, top5_acc: 0.5138, loss_cls: 4.5670, loss: 4.5670 2023-12-26 01:27:48,551 - pyskl - INFO - Epoch [51][400/3746] lr: 7.490e-02, eta: 2 days, 17:31:13, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5233, loss_cls: 4.4814, loss: 4.4814 2023-12-26 01:28:48,697 - pyskl - INFO - Epoch [51][500/3746] lr: 7.488e-02, eta: 2 days, 17:30:04, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5205, loss_cls: 4.5448, loss: 4.5448 2023-12-26 01:29:48,665 - pyskl - INFO - Epoch [51][600/3746] lr: 7.485e-02, eta: 2 days, 17:28:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2634, top5_acc: 0.5150, loss_cls: 4.5451, loss: 4.5451 2023-12-26 01:30:48,483 - pyskl - INFO - Epoch [51][700/3746] lr: 7.483e-02, eta: 2 days, 17:27:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5284, loss_cls: 4.4789, loss: 4.4789 2023-12-26 01:31:48,729 - pyskl - INFO - Epoch [51][800/3746] lr: 7.481e-02, eta: 2 days, 17:26:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2720, top5_acc: 0.5381, loss_cls: 4.4753, loss: 4.4753 2023-12-26 01:32:48,914 - pyskl - INFO - Epoch [51][900/3746] lr: 7.478e-02, eta: 2 days, 17:25:28, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5280, loss_cls: 4.5096, loss: 4.5096 2023-12-26 01:33:48,703 - pyskl - INFO - Epoch [51][1000/3746] lr: 7.476e-02, eta: 2 days, 17:24:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5373, loss_cls: 4.4519, loss: 4.4519 2023-12-26 01:34:48,362 - pyskl - INFO - Epoch [51][1100/3746] lr: 7.473e-02, eta: 2 days, 17:23:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5242, loss_cls: 4.5021, loss: 4.5021 2023-12-26 01:35:47,828 - pyskl - INFO - Epoch [51][1200/3746] lr: 7.471e-02, eta: 2 days, 17:21:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5211, loss_cls: 4.5290, loss: 4.5290 2023-12-26 01:36:47,598 - pyskl - INFO - Epoch [51][1300/3746] lr: 7.468e-02, eta: 2 days, 17:20:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5250, loss_cls: 4.5191, loss: 4.5191 2023-12-26 01:37:48,455 - pyskl - INFO - Epoch [51][1400/3746] lr: 7.466e-02, eta: 2 days, 17:19:42, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5167, loss_cls: 4.5400, loss: 4.5400 2023-12-26 01:38:48,719 - pyskl - INFO - Epoch [51][1500/3746] lr: 7.464e-02, eta: 2 days, 17:18:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5177, loss_cls: 4.5365, loss: 4.5365 2023-12-26 01:39:49,405 - pyskl - INFO - Epoch [51][1600/3746] lr: 7.461e-02, eta: 2 days, 17:17:26, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5153, loss_cls: 4.5418, loss: 4.5418 2023-12-26 01:40:49,333 - pyskl - INFO - Epoch [51][1700/3746] lr: 7.459e-02, eta: 2 days, 17:16:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5252, loss_cls: 4.5080, loss: 4.5080 2023-12-26 01:41:49,346 - pyskl - INFO - Epoch [51][1800/3746] lr: 7.456e-02, eta: 2 days, 17:15:08, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2573, top5_acc: 0.5094, loss_cls: 4.5845, loss: 4.5845 2023-12-26 01:42:48,740 - pyskl - INFO - Epoch [51][1900/3746] lr: 7.454e-02, eta: 2 days, 17:13:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5175, loss_cls: 4.5343, loss: 4.5343 2023-12-26 01:43:48,338 - pyskl - INFO - Epoch [51][2000/3746] lr: 7.451e-02, eta: 2 days, 17:12:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2614, top5_acc: 0.5122, loss_cls: 4.5835, loss: 4.5835 2023-12-26 01:44:47,706 - pyskl - INFO - Epoch [51][2100/3746] lr: 7.449e-02, eta: 2 days, 17:11:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5244, loss_cls: 4.5210, loss: 4.5210 2023-12-26 01:45:47,317 - pyskl - INFO - Epoch [51][2200/3746] lr: 7.447e-02, eta: 2 days, 17:10:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2677, top5_acc: 0.5248, loss_cls: 4.5340, loss: 4.5340 2023-12-26 01:46:46,728 - pyskl - INFO - Epoch [51][2300/3746] lr: 7.444e-02, eta: 2 days, 17:09:18, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5122, loss_cls: 4.5551, loss: 4.5551 2023-12-26 01:47:46,409 - pyskl - INFO - Epoch [51][2400/3746] lr: 7.442e-02, eta: 2 days, 17:08:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2734, top5_acc: 0.5231, loss_cls: 4.4981, loss: 4.4981 2023-12-26 01:48:45,994 - pyskl - INFO - Epoch [51][2500/3746] lr: 7.439e-02, eta: 2 days, 17:06:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5267, loss_cls: 4.5102, loss: 4.5102 2023-12-26 01:49:45,427 - pyskl - INFO - Epoch [51][2600/3746] lr: 7.437e-02, eta: 2 days, 17:05:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5092, loss_cls: 4.5659, loss: 4.5659 2023-12-26 01:50:44,786 - pyskl - INFO - Epoch [51][2700/3746] lr: 7.434e-02, eta: 2 days, 17:04:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5209, loss_cls: 4.5453, loss: 4.5453 2023-12-26 01:51:44,196 - pyskl - INFO - Epoch [51][2800/3746] lr: 7.432e-02, eta: 2 days, 17:03:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5191, loss_cls: 4.5313, loss: 4.5313 2023-12-26 01:52:43,808 - pyskl - INFO - Epoch [51][2900/3746] lr: 7.429e-02, eta: 2 days, 17:02:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2670, top5_acc: 0.5095, loss_cls: 4.5694, loss: 4.5694 2023-12-26 01:53:43,444 - pyskl - INFO - Epoch [51][3000/3746] lr: 7.427e-02, eta: 2 days, 17:01:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5159, loss_cls: 4.5511, loss: 4.5511 2023-12-26 01:54:43,132 - pyskl - INFO - Epoch [51][3100/3746] lr: 7.425e-02, eta: 2 days, 17:00:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2642, top5_acc: 0.5109, loss_cls: 4.5777, loss: 4.5777 2023-12-26 01:55:42,568 - pyskl - INFO - Epoch [51][3200/3746] lr: 7.422e-02, eta: 2 days, 16:58:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5259, loss_cls: 4.5304, loss: 4.5304 2023-12-26 01:56:42,039 - pyskl - INFO - Epoch [51][3300/3746] lr: 7.420e-02, eta: 2 days, 16:57:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2662, top5_acc: 0.5155, loss_cls: 4.5505, loss: 4.5505 2023-12-26 01:57:42,006 - pyskl - INFO - Epoch [51][3400/3746] lr: 7.417e-02, eta: 2 days, 16:56:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5236, loss_cls: 4.4981, loss: 4.4981 2023-12-26 01:58:41,493 - pyskl - INFO - Epoch [51][3500/3746] lr: 7.415e-02, eta: 2 days, 16:55:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5123, loss_cls: 4.5682, loss: 4.5682 2023-12-26 01:59:41,233 - pyskl - INFO - Epoch [51][3600/3746] lr: 7.412e-02, eta: 2 days, 16:54:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5186, loss_cls: 4.5401, loss: 4.5401 2023-12-26 02:00:40,814 - pyskl - INFO - Epoch [51][3700/3746] lr: 7.410e-02, eta: 2 days, 16:53:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5197, loss_cls: 4.5168, loss: 4.5168 2023-12-26 02:01:10,546 - pyskl - INFO - Saving checkpoint at 51 epochs 2023-12-26 02:03:08,867 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 02:03:09,915 - pyskl - INFO - top1_acc 0.2229 top5_acc 0.4583 2023-12-26 02:03:09,915 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 02:03:09,953 - pyskl - INFO - mean_acc 0.2226 2023-12-26 02:03:09,960 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_41.pth was removed 2023-12-26 02:03:10,241 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_51.pth. 2023-12-26 02:03:10,242 - pyskl - INFO - Best top1_acc is 0.2229 at 51 epoch. 2023-12-26 02:03:10,250 - pyskl - INFO - Epoch(val) [51][309] top1_acc: 0.2229, top5_acc: 0.4583, mean_class_accuracy: 0.2226 2023-12-26 02:06:31,289 - pyskl - INFO - Epoch [52][100/3746] lr: 7.406e-02, eta: 2 days, 16:55:03, time: 2.010, data_time: 1.416, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5288, loss_cls: 4.4893, loss: 4.4893 2023-12-26 02:07:30,934 - pyskl - INFO - Epoch [52][200/3746] lr: 7.404e-02, eta: 2 days, 16:53:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5269, loss_cls: 4.5050, loss: 4.5050 2023-12-26 02:08:30,891 - pyskl - INFO - Epoch [52][300/3746] lr: 7.401e-02, eta: 2 days, 16:52:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5312, loss_cls: 4.5135, loss: 4.5135 2023-12-26 02:09:31,029 - pyskl - INFO - Epoch [52][400/3746] lr: 7.399e-02, eta: 2 days, 16:51:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5156, loss_cls: 4.5150, loss: 4.5150 2023-12-26 02:10:31,132 - pyskl - INFO - Epoch [52][500/3746] lr: 7.397e-02, eta: 2 days, 16:50:27, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5261, loss_cls: 4.5101, loss: 4.5101 2023-12-26 02:11:31,495 - pyskl - INFO - Epoch [52][600/3746] lr: 7.394e-02, eta: 2 days, 16:49:19, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5245, loss_cls: 4.4893, loss: 4.4893 2023-12-26 02:12:30,827 - pyskl - INFO - Epoch [52][700/3746] lr: 7.392e-02, eta: 2 days, 16:48:09, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2723, top5_acc: 0.5158, loss_cls: 4.5450, loss: 4.5450 2023-12-26 02:13:31,180 - pyskl - INFO - Epoch [52][800/3746] lr: 7.389e-02, eta: 2 days, 16:47:00, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5294, loss_cls: 4.4952, loss: 4.4952 2023-12-26 02:14:31,617 - pyskl - INFO - Epoch [52][900/3746] lr: 7.387e-02, eta: 2 days, 16:45:52, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2653, top5_acc: 0.5308, loss_cls: 4.5024, loss: 4.5024 2023-12-26 02:15:31,917 - pyskl - INFO - Epoch [52][1000/3746] lr: 7.384e-02, eta: 2 days, 16:44:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5148, loss_cls: 4.5466, loss: 4.5466 2023-12-26 02:16:31,757 - pyskl - INFO - Epoch [52][1100/3746] lr: 7.382e-02, eta: 2 days, 16:43:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5316, loss_cls: 4.4870, loss: 4.4870 2023-12-26 02:17:32,142 - pyskl - INFO - Epoch [52][1200/3746] lr: 7.379e-02, eta: 2 days, 16:42:27, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2695, top5_acc: 0.5158, loss_cls: 4.5513, loss: 4.5513 2023-12-26 02:18:31,731 - pyskl - INFO - Epoch [52][1300/3746] lr: 7.377e-02, eta: 2 days, 16:41:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2578, top5_acc: 0.5159, loss_cls: 4.5673, loss: 4.5673 2023-12-26 02:19:31,374 - pyskl - INFO - Epoch [52][1400/3746] lr: 7.374e-02, eta: 2 days, 16:40:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2625, top5_acc: 0.5194, loss_cls: 4.5435, loss: 4.5435 2023-12-26 02:20:31,090 - pyskl - INFO - Epoch [52][1500/3746] lr: 7.372e-02, eta: 2 days, 16:38:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2747, top5_acc: 0.5202, loss_cls: 4.5570, loss: 4.5570 2023-12-26 02:21:30,802 - pyskl - INFO - Epoch [52][1600/3746] lr: 7.370e-02, eta: 2 days, 16:37:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5234, loss_cls: 4.5148, loss: 4.5148 2023-12-26 02:22:30,738 - pyskl - INFO - Epoch [52][1700/3746] lr: 7.367e-02, eta: 2 days, 16:36:40, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2619, top5_acc: 0.5192, loss_cls: 4.5395, loss: 4.5395 2023-12-26 02:23:30,380 - pyskl - INFO - Epoch [52][1800/3746] lr: 7.365e-02, eta: 2 days, 16:35:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5230, loss_cls: 4.5239, loss: 4.5239 2023-12-26 02:24:30,134 - pyskl - INFO - Epoch [52][1900/3746] lr: 7.362e-02, eta: 2 days, 16:34:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5297, loss_cls: 4.5373, loss: 4.5373 2023-12-26 02:25:29,717 - pyskl - INFO - Epoch [52][2000/3746] lr: 7.360e-02, eta: 2 days, 16:33:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5192, loss_cls: 4.5283, loss: 4.5283 2023-12-26 02:26:29,604 - pyskl - INFO - Epoch [52][2100/3746] lr: 7.357e-02, eta: 2 days, 16:32:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5219, loss_cls: 4.5278, loss: 4.5278 2023-12-26 02:27:29,779 - pyskl - INFO - Epoch [52][2200/3746] lr: 7.355e-02, eta: 2 days, 16:30:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2637, top5_acc: 0.5197, loss_cls: 4.5422, loss: 4.5422 2023-12-26 02:28:29,921 - pyskl - INFO - Epoch [52][2300/3746] lr: 7.352e-02, eta: 2 days, 16:29:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5227, loss_cls: 4.5422, loss: 4.5422 2023-12-26 02:29:29,600 - pyskl - INFO - Epoch [52][2400/3746] lr: 7.350e-02, eta: 2 days, 16:28:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5234, loss_cls: 4.4971, loss: 4.4971 2023-12-26 02:30:29,448 - pyskl - INFO - Epoch [52][2500/3746] lr: 7.347e-02, eta: 2 days, 16:27:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5253, loss_cls: 4.5174, loss: 4.5174 2023-12-26 02:31:29,034 - pyskl - INFO - Epoch [52][2600/3746] lr: 7.345e-02, eta: 2 days, 16:26:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2620, top5_acc: 0.5139, loss_cls: 4.5433, loss: 4.5433 2023-12-26 02:32:28,291 - pyskl - INFO - Epoch [52][2700/3746] lr: 7.342e-02, eta: 2 days, 16:25:08, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5267, loss_cls: 4.5329, loss: 4.5329 2023-12-26 02:33:28,647 - pyskl - INFO - Epoch [52][2800/3746] lr: 7.340e-02, eta: 2 days, 16:24:00, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5256, loss_cls: 4.4901, loss: 4.4901 2023-12-26 02:34:28,438 - pyskl - INFO - Epoch [52][2900/3746] lr: 7.337e-02, eta: 2 days, 16:22:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5216, loss_cls: 4.5197, loss: 4.5197 2023-12-26 02:35:28,518 - pyskl - INFO - Epoch [52][3000/3746] lr: 7.335e-02, eta: 2 days, 16:21:43, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2687, top5_acc: 0.5072, loss_cls: 4.5517, loss: 4.5517 2023-12-26 02:36:28,104 - pyskl - INFO - Epoch [52][3100/3746] lr: 7.332e-02, eta: 2 days, 16:20:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5308, loss_cls: 4.5024, loss: 4.5024 2023-12-26 02:37:27,755 - pyskl - INFO - Epoch [52][3200/3746] lr: 7.330e-02, eta: 2 days, 16:19:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5262, loss_cls: 4.5114, loss: 4.5114 2023-12-26 02:38:27,844 - pyskl - INFO - Epoch [52][3300/3746] lr: 7.328e-02, eta: 2 days, 16:18:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5225, loss_cls: 4.5202, loss: 4.5202 2023-12-26 02:39:28,019 - pyskl - INFO - Epoch [52][3400/3746] lr: 7.325e-02, eta: 2 days, 16:17:07, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5363, loss_cls: 4.4771, loss: 4.4771 2023-12-26 02:40:28,793 - pyskl - INFO - Epoch [52][3500/3746] lr: 7.323e-02, eta: 2 days, 16:16:00, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5275, loss_cls: 4.4974, loss: 4.4974 2023-12-26 02:41:28,421 - pyskl - INFO - Epoch [52][3600/3746] lr: 7.320e-02, eta: 2 days, 16:14:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5244, loss_cls: 4.5273, loss: 4.5273 2023-12-26 02:42:28,134 - pyskl - INFO - Epoch [52][3700/3746] lr: 7.318e-02, eta: 2 days, 16:13:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5178, loss_cls: 4.5423, loss: 4.5423 2023-12-26 02:42:57,853 - pyskl - INFO - Saving checkpoint at 52 epochs 2023-12-26 02:44:56,375 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 02:44:57,227 - pyskl - INFO - top1_acc 0.2018 top5_acc 0.4294 2023-12-26 02:44:57,227 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 02:44:57,259 - pyskl - INFO - mean_acc 0.2018 2023-12-26 02:44:57,267 - pyskl - INFO - Epoch(val) [52][309] top1_acc: 0.2018, top5_acc: 0.4294, mean_class_accuracy: 0.2018 2023-12-26 02:48:13,845 - pyskl - INFO - Epoch [53][100/3746] lr: 7.314e-02, eta: 2 days, 16:15:27, time: 1.966, data_time: 1.369, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5323, loss_cls: 4.4775, loss: 4.4775 2023-12-26 02:49:13,784 - pyskl - INFO - Epoch [53][200/3746] lr: 7.312e-02, eta: 2 days, 16:14:18, time: 0.599, data_time: 0.001, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5389, loss_cls: 4.4727, loss: 4.4727 2023-12-26 02:50:13,764 - pyskl - INFO - Epoch [53][300/3746] lr: 7.309e-02, eta: 2 days, 16:13:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5303, loss_cls: 4.4679, loss: 4.4679 2023-12-26 02:51:13,822 - pyskl - INFO - Epoch [53][400/3746] lr: 7.307e-02, eta: 2 days, 16:12:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5239, loss_cls: 4.5109, loss: 4.5109 2023-12-26 02:52:14,766 - pyskl - INFO - Epoch [53][500/3746] lr: 7.304e-02, eta: 2 days, 16:10:54, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5325, loss_cls: 4.4775, loss: 4.4775 2023-12-26 02:53:15,666 - pyskl - INFO - Epoch [53][600/3746] lr: 7.302e-02, eta: 2 days, 16:09:47, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2673, top5_acc: 0.5250, loss_cls: 4.5270, loss: 4.5270 2023-12-26 02:54:15,674 - pyskl - INFO - Epoch [53][700/3746] lr: 7.299e-02, eta: 2 days, 16:08:38, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5208, loss_cls: 4.5082, loss: 4.5082 2023-12-26 02:55:15,936 - pyskl - INFO - Epoch [53][800/3746] lr: 7.297e-02, eta: 2 days, 16:07:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5280, loss_cls: 4.4834, loss: 4.4834 2023-12-26 02:56:16,875 - pyskl - INFO - Epoch [53][900/3746] lr: 7.294e-02, eta: 2 days, 16:06:23, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2725, top5_acc: 0.5231, loss_cls: 4.5376, loss: 4.5376 2023-12-26 02:57:16,717 - pyskl - INFO - Epoch [53][1000/3746] lr: 7.292e-02, eta: 2 days, 16:05:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5245, loss_cls: 4.4997, loss: 4.4997 2023-12-26 02:58:16,368 - pyskl - INFO - Epoch [53][1100/3746] lr: 7.289e-02, eta: 2 days, 16:04:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2680, top5_acc: 0.5211, loss_cls: 4.5431, loss: 4.5431 2023-12-26 02:59:16,412 - pyskl - INFO - Epoch [53][1200/3746] lr: 7.287e-02, eta: 2 days, 16:02:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5238, loss_cls: 4.5176, loss: 4.5176 2023-12-26 03:00:15,757 - pyskl - INFO - Epoch [53][1300/3746] lr: 7.284e-02, eta: 2 days, 16:01:46, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5244, loss_cls: 4.5332, loss: 4.5332 2023-12-26 03:01:15,221 - pyskl - INFO - Epoch [53][1400/3746] lr: 7.282e-02, eta: 2 days, 16:00:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5178, loss_cls: 4.5326, loss: 4.5326 2023-12-26 03:02:15,287 - pyskl - INFO - Epoch [53][1500/3746] lr: 7.279e-02, eta: 2 days, 15:59:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5230, loss_cls: 4.5221, loss: 4.5221 2023-12-26 03:03:14,936 - pyskl - INFO - Epoch [53][1600/3746] lr: 7.277e-02, eta: 2 days, 15:58:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5245, loss_cls: 4.5387, loss: 4.5387 2023-12-26 03:04:14,698 - pyskl - INFO - Epoch [53][1700/3746] lr: 7.274e-02, eta: 2 days, 15:57:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2666, top5_acc: 0.5242, loss_cls: 4.5225, loss: 4.5225 2023-12-26 03:05:15,389 - pyskl - INFO - Epoch [53][1800/3746] lr: 7.272e-02, eta: 2 days, 15:56:02, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5275, loss_cls: 4.4894, loss: 4.4894 2023-12-26 03:06:15,272 - pyskl - INFO - Epoch [53][1900/3746] lr: 7.269e-02, eta: 2 days, 15:54:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2717, top5_acc: 0.5256, loss_cls: 4.5279, loss: 4.5279 2023-12-26 03:07:14,964 - pyskl - INFO - Epoch [53][2000/3746] lr: 7.267e-02, eta: 2 days, 15:53:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2698, top5_acc: 0.5195, loss_cls: 4.5444, loss: 4.5444 2023-12-26 03:08:14,648 - pyskl - INFO - Epoch [53][2100/3746] lr: 7.264e-02, eta: 2 days, 15:52:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5309, loss_cls: 4.5065, loss: 4.5065 2023-12-26 03:09:14,163 - pyskl - INFO - Epoch [53][2200/3746] lr: 7.262e-02, eta: 2 days, 15:51:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2691, top5_acc: 0.5222, loss_cls: 4.5468, loss: 4.5468 2023-12-26 03:10:14,708 - pyskl - INFO - Epoch [53][2300/3746] lr: 7.259e-02, eta: 2 days, 15:50:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5184, loss_cls: 4.5211, loss: 4.5211 2023-12-26 03:11:15,575 - pyskl - INFO - Epoch [53][2400/3746] lr: 7.257e-02, eta: 2 days, 15:49:11, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5212, loss_cls: 4.5138, loss: 4.5138 2023-12-26 03:12:16,676 - pyskl - INFO - Epoch [53][2500/3746] lr: 7.254e-02, eta: 2 days, 15:48:05, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5252, loss_cls: 4.4895, loss: 4.4895 2023-12-26 03:13:17,400 - pyskl - INFO - Epoch [53][2600/3746] lr: 7.252e-02, eta: 2 days, 15:46:58, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2631, top5_acc: 0.5117, loss_cls: 4.5535, loss: 4.5535 2023-12-26 03:14:17,107 - pyskl - INFO - Epoch [53][2700/3746] lr: 7.249e-02, eta: 2 days, 15:45:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2580, top5_acc: 0.5170, loss_cls: 4.5704, loss: 4.5704 2023-12-26 03:15:16,932 - pyskl - INFO - Epoch [53][2800/3746] lr: 7.247e-02, eta: 2 days, 15:44:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5252, loss_cls: 4.5231, loss: 4.5231 2023-12-26 03:16:16,455 - pyskl - INFO - Epoch [53][2900/3746] lr: 7.244e-02, eta: 2 days, 15:43:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5153, loss_cls: 4.5257, loss: 4.5257 2023-12-26 03:17:16,268 - pyskl - INFO - Epoch [53][3000/3746] lr: 7.242e-02, eta: 2 days, 15:42:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5266, loss_cls: 4.4913, loss: 4.4913 2023-12-26 03:18:15,936 - pyskl - INFO - Epoch [53][3100/3746] lr: 7.239e-02, eta: 2 days, 15:41:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5292, loss_cls: 4.4967, loss: 4.4967 2023-12-26 03:19:15,490 - pyskl - INFO - Epoch [53][3200/3746] lr: 7.237e-02, eta: 2 days, 15:40:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5308, loss_cls: 4.4754, loss: 4.4754 2023-12-26 03:20:15,247 - pyskl - INFO - Epoch [53][3300/3746] lr: 7.234e-02, eta: 2 days, 15:38:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5305, loss_cls: 4.5050, loss: 4.5050 2023-12-26 03:21:14,976 - pyskl - INFO - Epoch [53][3400/3746] lr: 7.232e-02, eta: 2 days, 15:37:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5231, loss_cls: 4.5120, loss: 4.5120 2023-12-26 03:22:14,943 - pyskl - INFO - Epoch [53][3500/3746] lr: 7.229e-02, eta: 2 days, 15:36:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5209, loss_cls: 4.5258, loss: 4.5258 2023-12-26 03:23:15,787 - pyskl - INFO - Epoch [53][3600/3746] lr: 7.227e-02, eta: 2 days, 15:35:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5216, loss_cls: 4.5123, loss: 4.5123 2023-12-26 03:24:15,626 - pyskl - INFO - Epoch [53][3700/3746] lr: 7.224e-02, eta: 2 days, 15:34:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5188, loss_cls: 4.5070, loss: 4.5070 2023-12-26 03:24:45,465 - pyskl - INFO - Saving checkpoint at 53 epochs 2023-12-26 03:26:47,190 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 03:26:47,957 - pyskl - INFO - top1_acc 0.1825 top5_acc 0.4035 2023-12-26 03:26:47,957 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 03:26:47,989 - pyskl - INFO - mean_acc 0.1823 2023-12-26 03:26:47,998 - pyskl - INFO - Epoch(val) [53][309] top1_acc: 0.1825, top5_acc: 0.4035, mean_class_accuracy: 0.1823 2023-12-26 03:30:01,206 - pyskl - INFO - Epoch [54][100/3746] lr: 7.221e-02, eta: 2 days, 15:35:54, time: 1.932, data_time: 1.331, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5295, loss_cls: 4.4352, loss: 4.4352 2023-12-26 03:31:00,893 - pyskl - INFO - Epoch [54][200/3746] lr: 7.218e-02, eta: 2 days, 15:34:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5381, loss_cls: 4.4407, loss: 4.4407 2023-12-26 03:32:00,305 - pyskl - INFO - Epoch [54][300/3746] lr: 7.216e-02, eta: 2 days, 15:33:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5223, loss_cls: 4.5252, loss: 4.5252 2023-12-26 03:33:00,362 - pyskl - INFO - Epoch [54][400/3746] lr: 7.213e-02, eta: 2 days, 15:32:27, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5212, loss_cls: 4.5347, loss: 4.5347 2023-12-26 03:34:00,146 - pyskl - INFO - Epoch [54][500/3746] lr: 7.211e-02, eta: 2 days, 15:31:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5264, loss_cls: 4.5071, loss: 4.5071 2023-12-26 03:35:00,542 - pyskl - INFO - Epoch [54][600/3746] lr: 7.208e-02, eta: 2 days, 15:30:10, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5198, loss_cls: 4.5105, loss: 4.5105 2023-12-26 03:36:00,150 - pyskl - INFO - Epoch [54][700/3746] lr: 7.206e-02, eta: 2 days, 15:29:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5266, loss_cls: 4.5196, loss: 4.5196 2023-12-26 03:37:00,039 - pyskl - INFO - Epoch [54][800/3746] lr: 7.203e-02, eta: 2 days, 15:27:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5197, loss_cls: 4.5074, loss: 4.5074 2023-12-26 03:38:00,107 - pyskl - INFO - Epoch [54][900/3746] lr: 7.201e-02, eta: 2 days, 15:26:44, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2667, top5_acc: 0.5219, loss_cls: 4.4956, loss: 4.4956 2023-12-26 03:39:00,206 - pyskl - INFO - Epoch [54][1000/3746] lr: 7.198e-02, eta: 2 days, 15:25:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5364, loss_cls: 4.4673, loss: 4.4673 2023-12-26 03:39:59,804 - pyskl - INFO - Epoch [54][1100/3746] lr: 7.196e-02, eta: 2 days, 15:24:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2727, top5_acc: 0.5255, loss_cls: 4.4959, loss: 4.4959 2023-12-26 03:40:59,182 - pyskl - INFO - Epoch [54][1200/3746] lr: 7.193e-02, eta: 2 days, 15:23:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5258, loss_cls: 4.5238, loss: 4.5238 2023-12-26 03:41:58,477 - pyskl - INFO - Epoch [54][1300/3746] lr: 7.191e-02, eta: 2 days, 15:22:07, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5350, loss_cls: 4.4662, loss: 4.4662 2023-12-26 03:42:57,565 - pyskl - INFO - Epoch [54][1400/3746] lr: 7.188e-02, eta: 2 days, 15:20:57, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5273, loss_cls: 4.5276, loss: 4.5276 2023-12-26 03:43:56,905 - pyskl - INFO - Epoch [54][1500/3746] lr: 7.186e-02, eta: 2 days, 15:19:47, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5355, loss_cls: 4.4693, loss: 4.4693 2023-12-26 03:44:56,220 - pyskl - INFO - Epoch [54][1600/3746] lr: 7.183e-02, eta: 2 days, 15:18:38, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5234, loss_cls: 4.5207, loss: 4.5207 2023-12-26 03:45:55,675 - pyskl - INFO - Epoch [54][1700/3746] lr: 7.181e-02, eta: 2 days, 15:17:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5219, loss_cls: 4.5271, loss: 4.5271 2023-12-26 03:46:55,279 - pyskl - INFO - Epoch [54][1800/3746] lr: 7.178e-02, eta: 2 days, 15:16:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2833, top5_acc: 0.5297, loss_cls: 4.5080, loss: 4.5080 2023-12-26 03:47:55,162 - pyskl - INFO - Epoch [54][1900/3746] lr: 7.176e-02, eta: 2 days, 15:15:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5192, loss_cls: 4.5452, loss: 4.5452 2023-12-26 03:48:55,185 - pyskl - INFO - Epoch [54][2000/3746] lr: 7.173e-02, eta: 2 days, 15:14:02, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2705, top5_acc: 0.5194, loss_cls: 4.5292, loss: 4.5292 2023-12-26 03:49:55,755 - pyskl - INFO - Epoch [54][2100/3746] lr: 7.170e-02, eta: 2 days, 15:12:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5220, loss_cls: 4.5268, loss: 4.5268 2023-12-26 03:50:55,404 - pyskl - INFO - Epoch [54][2200/3746] lr: 7.168e-02, eta: 2 days, 15:11:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5336, loss_cls: 4.4831, loss: 4.4831 2023-12-26 03:51:54,994 - pyskl - INFO - Epoch [54][2300/3746] lr: 7.165e-02, eta: 2 days, 15:10:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5317, loss_cls: 4.5139, loss: 4.5139 2023-12-26 03:52:54,834 - pyskl - INFO - Epoch [54][2400/3746] lr: 7.163e-02, eta: 2 days, 15:09:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5281, loss_cls: 4.4996, loss: 4.4996 2023-12-26 03:53:54,515 - pyskl - INFO - Epoch [54][2500/3746] lr: 7.160e-02, eta: 2 days, 15:08:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2645, top5_acc: 0.5230, loss_cls: 4.5255, loss: 4.5255 2023-12-26 03:54:53,852 - pyskl - INFO - Epoch [54][2600/3746] lr: 7.158e-02, eta: 2 days, 15:07:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2731, top5_acc: 0.5228, loss_cls: 4.5179, loss: 4.5179 2023-12-26 03:55:53,976 - pyskl - INFO - Epoch [54][2700/3746] lr: 7.155e-02, eta: 2 days, 15:06:01, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2766, top5_acc: 0.5202, loss_cls: 4.5384, loss: 4.5384 2023-12-26 03:56:53,344 - pyskl - INFO - Epoch [54][2800/3746] lr: 7.153e-02, eta: 2 days, 15:04:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5195, loss_cls: 4.4961, loss: 4.4961 2023-12-26 03:57:53,585 - pyskl - INFO - Epoch [54][2900/3746] lr: 7.150e-02, eta: 2 days, 15:03:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5233, loss_cls: 4.5268, loss: 4.5268 2023-12-26 03:58:53,275 - pyskl - INFO - Epoch [54][3000/3746] lr: 7.148e-02, eta: 2 days, 15:02:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2683, top5_acc: 0.5166, loss_cls: 4.5313, loss: 4.5313 2023-12-26 03:59:52,946 - pyskl - INFO - Epoch [54][3100/3746] lr: 7.145e-02, eta: 2 days, 15:01:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5227, loss_cls: 4.5004, loss: 4.5004 2023-12-26 04:00:52,646 - pyskl - INFO - Epoch [54][3200/3746] lr: 7.143e-02, eta: 2 days, 15:00:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5277, loss_cls: 4.4911, loss: 4.4911 2023-12-26 04:01:52,160 - pyskl - INFO - Epoch [54][3300/3746] lr: 7.140e-02, eta: 2 days, 14:59:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5392, loss_cls: 4.4675, loss: 4.4675 2023-12-26 04:02:51,917 - pyskl - INFO - Epoch [54][3400/3746] lr: 7.138e-02, eta: 2 days, 14:58:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5262, loss_cls: 4.5306, loss: 4.5306 2023-12-26 04:03:51,487 - pyskl - INFO - Epoch [54][3500/3746] lr: 7.135e-02, eta: 2 days, 14:56:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5241, loss_cls: 4.5154, loss: 4.5154 2023-12-26 04:04:51,130 - pyskl - INFO - Epoch [54][3600/3746] lr: 7.133e-02, eta: 2 days, 14:55:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5231, loss_cls: 4.5234, loss: 4.5234 2023-12-26 04:05:50,778 - pyskl - INFO - Epoch [54][3700/3746] lr: 7.130e-02, eta: 2 days, 14:54:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5286, loss_cls: 4.4880, loss: 4.4880 2023-12-26 04:06:20,874 - pyskl - INFO - Saving checkpoint at 54 epochs 2023-12-26 04:08:21,755 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 04:08:22,539 - pyskl - INFO - top1_acc 0.2033 top5_acc 0.4408 2023-12-26 04:08:22,539 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 04:08:22,575 - pyskl - INFO - mean_acc 0.2032 2023-12-26 04:08:22,586 - pyskl - INFO - Epoch(val) [54][309] top1_acc: 0.2033, top5_acc: 0.4408, mean_class_accuracy: 0.2032 2023-12-26 04:11:43,596 - pyskl - INFO - Epoch [55][100/3746] lr: 7.126e-02, eta: 2 days, 14:56:15, time: 2.010, data_time: 1.409, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5355, loss_cls: 4.4758, loss: 4.4758 2023-12-26 04:12:43,340 - pyskl - INFO - Epoch [55][200/3746] lr: 7.124e-02, eta: 2 days, 14:55:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5281, loss_cls: 4.4765, loss: 4.4765 2023-12-26 04:13:43,336 - pyskl - INFO - Epoch [55][300/3746] lr: 7.121e-02, eta: 2 days, 14:53:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2709, top5_acc: 0.5266, loss_cls: 4.5258, loss: 4.5258 2023-12-26 04:14:42,985 - pyskl - INFO - Epoch [55][400/3746] lr: 7.119e-02, eta: 2 days, 14:52:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2794, top5_acc: 0.5302, loss_cls: 4.4941, loss: 4.4941 2023-12-26 04:15:42,543 - pyskl - INFO - Epoch [55][500/3746] lr: 7.116e-02, eta: 2 days, 14:51:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5406, loss_cls: 4.4368, loss: 4.4368 2023-12-26 04:16:42,793 - pyskl - INFO - Epoch [55][600/3746] lr: 7.114e-02, eta: 2 days, 14:50:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5252, loss_cls: 4.4939, loss: 4.4939 2023-12-26 04:17:42,943 - pyskl - INFO - Epoch [55][700/3746] lr: 7.111e-02, eta: 2 days, 14:49:23, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2661, top5_acc: 0.5228, loss_cls: 4.5129, loss: 4.5129 2023-12-26 04:18:42,480 - pyskl - INFO - Epoch [55][800/3746] lr: 7.109e-02, eta: 2 days, 14:48:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5314, loss_cls: 4.4646, loss: 4.4646 2023-12-26 04:19:42,635 - pyskl - INFO - Epoch [55][900/3746] lr: 7.106e-02, eta: 2 days, 14:47:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5217, loss_cls: 4.4871, loss: 4.4871 2023-12-26 04:20:43,199 - pyskl - INFO - Epoch [55][1000/3746] lr: 7.104e-02, eta: 2 days, 14:45:59, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5316, loss_cls: 4.4770, loss: 4.4770 2023-12-26 04:21:42,758 - pyskl - INFO - Epoch [55][1100/3746] lr: 7.101e-02, eta: 2 days, 14:44:50, time: 0.596, data_time: 0.001, memory: 16177, top1_acc: 0.2736, top5_acc: 0.5256, loss_cls: 4.4824, loss: 4.4824 2023-12-26 04:22:42,428 - pyskl - INFO - Epoch [55][1200/3746] lr: 7.099e-02, eta: 2 days, 14:43:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5261, loss_cls: 4.5315, loss: 4.5315 2023-12-26 04:23:42,166 - pyskl - INFO - Epoch [55][1300/3746] lr: 7.096e-02, eta: 2 days, 14:42:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5277, loss_cls: 4.5078, loss: 4.5078 2023-12-26 04:24:41,500 - pyskl - INFO - Epoch [55][1400/3746] lr: 7.093e-02, eta: 2 days, 14:41:23, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5391, loss_cls: 4.4772, loss: 4.4772 2023-12-26 04:25:40,763 - pyskl - INFO - Epoch [55][1500/3746] lr: 7.091e-02, eta: 2 days, 14:40:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5270, loss_cls: 4.4973, loss: 4.4973 2023-12-26 04:26:41,304 - pyskl - INFO - Epoch [55][1600/3746] lr: 7.088e-02, eta: 2 days, 14:39:06, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2639, top5_acc: 0.5150, loss_cls: 4.5538, loss: 4.5538 2023-12-26 04:27:41,117 - pyskl - INFO - Epoch [55][1700/3746] lr: 7.086e-02, eta: 2 days, 14:37:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5277, loss_cls: 4.4792, loss: 4.4792 2023-12-26 04:28:40,955 - pyskl - INFO - Epoch [55][1800/3746] lr: 7.083e-02, eta: 2 days, 14:36:49, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5284, loss_cls: 4.4993, loss: 4.4993 2023-12-26 04:29:40,772 - pyskl - INFO - Epoch [55][1900/3746] lr: 7.081e-02, eta: 2 days, 14:35:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5342, loss_cls: 4.4764, loss: 4.4764 2023-12-26 04:30:40,394 - pyskl - INFO - Epoch [55][2000/3746] lr: 7.078e-02, eta: 2 days, 14:34:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2655, top5_acc: 0.5091, loss_cls: 4.5785, loss: 4.5785 2023-12-26 04:31:39,999 - pyskl - INFO - Epoch [55][2100/3746] lr: 7.076e-02, eta: 2 days, 14:33:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5256, loss_cls: 4.5104, loss: 4.5104 2023-12-26 04:32:39,538 - pyskl - INFO - Epoch [55][2200/3746] lr: 7.073e-02, eta: 2 days, 14:32:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5320, loss_cls: 4.4893, loss: 4.4893 2023-12-26 04:33:38,965 - pyskl - INFO - Epoch [55][2300/3746] lr: 7.071e-02, eta: 2 days, 14:31:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5345, loss_cls: 4.4820, loss: 4.4820 2023-12-26 04:34:38,769 - pyskl - INFO - Epoch [55][2400/3746] lr: 7.068e-02, eta: 2 days, 14:29:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5266, loss_cls: 4.5018, loss: 4.5018 2023-12-26 04:35:38,385 - pyskl - INFO - Epoch [55][2500/3746] lr: 7.065e-02, eta: 2 days, 14:28:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5177, loss_cls: 4.5328, loss: 4.5328 2023-12-26 04:36:38,001 - pyskl - INFO - Epoch [55][2600/3746] lr: 7.063e-02, eta: 2 days, 14:27:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5353, loss_cls: 4.4697, loss: 4.4697 2023-12-26 04:37:37,828 - pyskl - INFO - Epoch [55][2700/3746] lr: 7.060e-02, eta: 2 days, 14:26:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5145, loss_cls: 4.5341, loss: 4.5341 2023-12-26 04:38:37,812 - pyskl - INFO - Epoch [55][2800/3746] lr: 7.058e-02, eta: 2 days, 14:25:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5302, loss_cls: 4.4833, loss: 4.4833 2023-12-26 04:39:38,690 - pyskl - INFO - Epoch [55][2900/3746] lr: 7.055e-02, eta: 2 days, 14:24:14, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2692, top5_acc: 0.5275, loss_cls: 4.5430, loss: 4.5430 2023-12-26 04:40:38,587 - pyskl - INFO - Epoch [55][3000/3746] lr: 7.053e-02, eta: 2 days, 14:23:06, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5355, loss_cls: 4.4943, loss: 4.4943 2023-12-26 04:41:38,109 - pyskl - INFO - Epoch [55][3100/3746] lr: 7.050e-02, eta: 2 days, 14:21:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5227, loss_cls: 4.5287, loss: 4.5287 2023-12-26 04:42:37,865 - pyskl - INFO - Epoch [55][3200/3746] lr: 7.048e-02, eta: 2 days, 14:20:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5267, loss_cls: 4.4916, loss: 4.4916 2023-12-26 04:43:37,545 - pyskl - INFO - Epoch [55][3300/3746] lr: 7.045e-02, eta: 2 days, 14:19:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5250, loss_cls: 4.4858, loss: 4.4858 2023-12-26 04:44:37,148 - pyskl - INFO - Epoch [55][3400/3746] lr: 7.043e-02, eta: 2 days, 14:18:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5130, loss_cls: 4.5273, loss: 4.5273 2023-12-26 04:45:36,935 - pyskl - INFO - Epoch [55][3500/3746] lr: 7.040e-02, eta: 2 days, 14:17:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5211, loss_cls: 4.5445, loss: 4.5445 2023-12-26 04:46:36,887 - pyskl - INFO - Epoch [55][3600/3746] lr: 7.037e-02, eta: 2 days, 14:16:14, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2766, top5_acc: 0.5355, loss_cls: 4.4868, loss: 4.4868 2023-12-26 04:47:37,183 - pyskl - INFO - Epoch [55][3700/3746] lr: 7.035e-02, eta: 2 days, 14:15:07, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2681, top5_acc: 0.5231, loss_cls: 4.5262, loss: 4.5262 2023-12-26 04:48:07,459 - pyskl - INFO - Saving checkpoint at 55 epochs 2023-12-26 04:50:09,214 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 04:50:10,248 - pyskl - INFO - top1_acc 0.2114 top5_acc 0.4544 2023-12-26 04:50:10,248 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 04:50:10,280 - pyskl - INFO - mean_acc 0.2113 2023-12-26 04:50:10,288 - pyskl - INFO - Epoch(val) [55][309] top1_acc: 0.2114, top5_acc: 0.4544, mean_class_accuracy: 0.2113 2023-12-26 04:53:26,705 - pyskl - INFO - Epoch [56][100/3746] lr: 7.031e-02, eta: 2 days, 14:16:35, time: 1.964, data_time: 1.363, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5312, loss_cls: 4.4841, loss: 4.4841 2023-12-26 04:54:26,236 - pyskl - INFO - Epoch [56][200/3746] lr: 7.029e-02, eta: 2 days, 14:15:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5336, loss_cls: 4.4557, loss: 4.4557 2023-12-26 04:55:25,748 - pyskl - INFO - Epoch [56][300/3746] lr: 7.026e-02, eta: 2 days, 14:14:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2689, top5_acc: 0.5295, loss_cls: 4.5248, loss: 4.5248 2023-12-26 04:56:25,626 - pyskl - INFO - Epoch [56][400/3746] lr: 7.023e-02, eta: 2 days, 14:13:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5289, loss_cls: 4.4995, loss: 4.4995 2023-12-26 04:57:24,999 - pyskl - INFO - Epoch [56][500/3746] lr: 7.021e-02, eta: 2 days, 14:11:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2780, top5_acc: 0.5319, loss_cls: 4.4953, loss: 4.4953 2023-12-26 04:58:24,599 - pyskl - INFO - Epoch [56][600/3746] lr: 7.018e-02, eta: 2 days, 14:10:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5386, loss_cls: 4.4306, loss: 4.4306 2023-12-26 04:59:25,024 - pyskl - INFO - Epoch [56][700/3746] lr: 7.016e-02, eta: 2 days, 14:09:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5277, loss_cls: 4.5173, loss: 4.5173 2023-12-26 05:00:24,764 - pyskl - INFO - Epoch [56][800/3746] lr: 7.013e-02, eta: 2 days, 14:08:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5350, loss_cls: 4.4851, loss: 4.4851 2023-12-26 05:01:24,657 - pyskl - INFO - Epoch [56][900/3746] lr: 7.011e-02, eta: 2 days, 14:07:26, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2766, top5_acc: 0.5288, loss_cls: 4.5038, loss: 4.5038 2023-12-26 05:02:25,411 - pyskl - INFO - Epoch [56][1000/3746] lr: 7.008e-02, eta: 2 days, 14:06:19, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5339, loss_cls: 4.4934, loss: 4.4934 2023-12-26 05:03:25,302 - pyskl - INFO - Epoch [56][1100/3746] lr: 7.006e-02, eta: 2 days, 14:05:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2706, top5_acc: 0.5261, loss_cls: 4.5181, loss: 4.5181 2023-12-26 05:04:25,018 - pyskl - INFO - Epoch [56][1200/3746] lr: 7.003e-02, eta: 2 days, 14:04:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5270, loss_cls: 4.4691, loss: 4.4691 2023-12-26 05:05:25,098 - pyskl - INFO - Epoch [56][1300/3746] lr: 7.000e-02, eta: 2 days, 14:02:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5275, loss_cls: 4.4901, loss: 4.4901 2023-12-26 05:06:24,514 - pyskl - INFO - Epoch [56][1400/3746] lr: 6.998e-02, eta: 2 days, 14:01:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5225, loss_cls: 4.5350, loss: 4.5350 2023-12-26 05:07:24,083 - pyskl - INFO - Epoch [56][1500/3746] lr: 6.995e-02, eta: 2 days, 14:00:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5209, loss_cls: 4.5134, loss: 4.5134 2023-12-26 05:08:23,924 - pyskl - INFO - Epoch [56][1600/3746] lr: 6.993e-02, eta: 2 days, 13:59:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2650, top5_acc: 0.5094, loss_cls: 4.5749, loss: 4.5749 2023-12-26 05:09:23,371 - pyskl - INFO - Epoch [56][1700/3746] lr: 6.990e-02, eta: 2 days, 13:58:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2714, top5_acc: 0.5284, loss_cls: 4.5233, loss: 4.5233 2023-12-26 05:10:23,115 - pyskl - INFO - Epoch [56][1800/3746] lr: 6.988e-02, eta: 2 days, 13:57:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5284, loss_cls: 4.5034, loss: 4.5034 2023-12-26 05:11:22,862 - pyskl - INFO - Epoch [56][1900/3746] lr: 6.985e-02, eta: 2 days, 13:56:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5344, loss_cls: 4.4772, loss: 4.4772 2023-12-26 05:12:22,779 - pyskl - INFO - Epoch [56][2000/3746] lr: 6.983e-02, eta: 2 days, 13:54:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5277, loss_cls: 4.5011, loss: 4.5011 2023-12-26 05:13:22,381 - pyskl - INFO - Epoch [56][2100/3746] lr: 6.980e-02, eta: 2 days, 13:53:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2694, top5_acc: 0.5170, loss_cls: 4.5614, loss: 4.5614 2023-12-26 05:14:23,331 - pyskl - INFO - Epoch [56][2200/3746] lr: 6.977e-02, eta: 2 days, 13:52:38, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5228, loss_cls: 4.5271, loss: 4.5271 2023-12-26 05:15:23,415 - pyskl - INFO - Epoch [56][2300/3746] lr: 6.975e-02, eta: 2 days, 13:51:30, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2647, top5_acc: 0.5203, loss_cls: 4.5411, loss: 4.5411 2023-12-26 05:16:23,292 - pyskl - INFO - Epoch [56][2400/3746] lr: 6.972e-02, eta: 2 days, 13:50:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5302, loss_cls: 4.4759, loss: 4.4759 2023-12-26 05:17:22,886 - pyskl - INFO - Epoch [56][2500/3746] lr: 6.970e-02, eta: 2 days, 13:49:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5414, loss_cls: 4.4678, loss: 4.4678 2023-12-26 05:18:23,208 - pyskl - INFO - Epoch [56][2600/3746] lr: 6.967e-02, eta: 2 days, 13:48:06, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2753, top5_acc: 0.5286, loss_cls: 4.5005, loss: 4.5005 2023-12-26 05:19:23,820 - pyskl - INFO - Epoch [56][2700/3746] lr: 6.965e-02, eta: 2 days, 13:46:59, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5292, loss_cls: 4.5039, loss: 4.5039 2023-12-26 05:20:24,267 - pyskl - INFO - Epoch [56][2800/3746] lr: 6.962e-02, eta: 2 days, 13:45:52, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5270, loss_cls: 4.5207, loss: 4.5207 2023-12-26 05:21:24,432 - pyskl - INFO - Epoch [56][2900/3746] lr: 6.959e-02, eta: 2 days, 13:44:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5242, loss_cls: 4.5087, loss: 4.5087 2023-12-26 05:22:23,670 - pyskl - INFO - Epoch [56][3000/3746] lr: 6.957e-02, eta: 2 days, 13:43:35, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5280, loss_cls: 4.5108, loss: 4.5108 2023-12-26 05:23:23,525 - pyskl - INFO - Epoch [56][3100/3746] lr: 6.954e-02, eta: 2 days, 13:42:26, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2792, top5_acc: 0.5347, loss_cls: 4.4628, loss: 4.4628 2023-12-26 05:24:24,341 - pyskl - INFO - Epoch [56][3200/3746] lr: 6.952e-02, eta: 2 days, 13:41:20, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5219, loss_cls: 4.4803, loss: 4.4803 2023-12-26 05:25:24,226 - pyskl - INFO - Epoch [56][3300/3746] lr: 6.949e-02, eta: 2 days, 13:40:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5297, loss_cls: 4.4878, loss: 4.4878 2023-12-26 05:26:25,139 - pyskl - INFO - Epoch [56][3400/3746] lr: 6.947e-02, eta: 2 days, 13:39:05, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5180, loss_cls: 4.5338, loss: 4.5338 2023-12-26 05:27:24,748 - pyskl - INFO - Epoch [56][3500/3746] lr: 6.944e-02, eta: 2 days, 13:37:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5277, loss_cls: 4.4955, loss: 4.4955 2023-12-26 05:28:24,330 - pyskl - INFO - Epoch [56][3600/3746] lr: 6.941e-02, eta: 2 days, 13:36:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5286, loss_cls: 4.4934, loss: 4.4934 2023-12-26 05:29:24,000 - pyskl - INFO - Epoch [56][3700/3746] lr: 6.939e-02, eta: 2 days, 13:35:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5252, loss_cls: 4.5028, loss: 4.5028 2023-12-26 05:29:54,433 - pyskl - INFO - Saving checkpoint at 56 epochs 2023-12-26 05:31:53,421 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 05:31:54,495 - pyskl - INFO - top1_acc 0.1868 top5_acc 0.4062 2023-12-26 05:31:54,495 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 05:31:54,532 - pyskl - INFO - mean_acc 0.1867 2023-12-26 05:31:54,541 - pyskl - INFO - Epoch(val) [56][309] top1_acc: 0.1868, top5_acc: 0.4062, mean_class_accuracy: 0.1867 2023-12-26 05:35:14,349 - pyskl - INFO - Epoch [57][100/3746] lr: 6.935e-02, eta: 2 days, 13:37:09, time: 1.998, data_time: 1.395, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5275, loss_cls: 4.4657, loss: 4.4657 2023-12-26 05:36:14,249 - pyskl - INFO - Epoch [57][200/3746] lr: 6.932e-02, eta: 2 days, 13:36:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5394, loss_cls: 4.4606, loss: 4.4606 2023-12-26 05:37:14,489 - pyskl - INFO - Epoch [57][300/3746] lr: 6.930e-02, eta: 2 days, 13:34:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5317, loss_cls: 4.4724, loss: 4.4724 2023-12-26 05:38:14,008 - pyskl - INFO - Epoch [57][400/3746] lr: 6.927e-02, eta: 2 days, 13:33:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2739, top5_acc: 0.5195, loss_cls: 4.5204, loss: 4.5204 2023-12-26 05:39:13,448 - pyskl - INFO - Epoch [57][500/3746] lr: 6.925e-02, eta: 2 days, 13:32:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5406, loss_cls: 4.4256, loss: 4.4256 2023-12-26 05:40:13,752 - pyskl - INFO - Epoch [57][600/3746] lr: 6.922e-02, eta: 2 days, 13:31:27, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5267, loss_cls: 4.5174, loss: 4.5174 2023-12-26 05:41:14,365 - pyskl - INFO - Epoch [57][700/3746] lr: 6.920e-02, eta: 2 days, 13:30:20, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5359, loss_cls: 4.4633, loss: 4.4633 2023-12-26 05:42:14,188 - pyskl - INFO - Epoch [57][800/3746] lr: 6.917e-02, eta: 2 days, 13:29:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5394, loss_cls: 4.4564, loss: 4.4564 2023-12-26 05:43:14,569 - pyskl - INFO - Epoch [57][900/3746] lr: 6.914e-02, eta: 2 days, 13:28:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5427, loss_cls: 4.4313, loss: 4.4313 2023-12-26 05:44:14,569 - pyskl - INFO - Epoch [57][1000/3746] lr: 6.912e-02, eta: 2 days, 13:26:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2728, top5_acc: 0.5275, loss_cls: 4.4968, loss: 4.4968 2023-12-26 05:45:15,191 - pyskl - INFO - Epoch [57][1100/3746] lr: 6.909e-02, eta: 2 days, 13:25:50, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5244, loss_cls: 4.5034, loss: 4.5034 2023-12-26 05:46:14,715 - pyskl - INFO - Epoch [57][1200/3746] lr: 6.907e-02, eta: 2 days, 13:24:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5227, loss_cls: 4.5194, loss: 4.5194 2023-12-26 05:47:14,583 - pyskl - INFO - Epoch [57][1300/3746] lr: 6.904e-02, eta: 2 days, 13:23:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2842, top5_acc: 0.5400, loss_cls: 4.4532, loss: 4.4532 2023-12-26 05:48:14,238 - pyskl - INFO - Epoch [57][1400/3746] lr: 6.901e-02, eta: 2 days, 13:22:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2786, top5_acc: 0.5381, loss_cls: 4.4550, loss: 4.4550 2023-12-26 05:49:13,942 - pyskl - INFO - Epoch [57][1500/3746] lr: 6.899e-02, eta: 2 days, 13:21:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5297, loss_cls: 4.4925, loss: 4.4925 2023-12-26 05:50:14,435 - pyskl - INFO - Epoch [57][1600/3746] lr: 6.896e-02, eta: 2 days, 13:20:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2700, top5_acc: 0.5269, loss_cls: 4.5169, loss: 4.5169 2023-12-26 05:51:14,904 - pyskl - INFO - Epoch [57][1700/3746] lr: 6.894e-02, eta: 2 days, 13:19:01, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2708, top5_acc: 0.5319, loss_cls: 4.4984, loss: 4.4984 2023-12-26 05:52:14,805 - pyskl - INFO - Epoch [57][1800/3746] lr: 6.891e-02, eta: 2 days, 13:17:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5442, loss_cls: 4.4339, loss: 4.4339 2023-12-26 05:53:14,476 - pyskl - INFO - Epoch [57][1900/3746] lr: 6.889e-02, eta: 2 days, 13:16:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5341, loss_cls: 4.4595, loss: 4.4595 2023-12-26 05:54:14,109 - pyskl - INFO - Epoch [57][2000/3746] lr: 6.886e-02, eta: 2 days, 13:15:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5269, loss_cls: 4.5188, loss: 4.5188 2023-12-26 05:55:13,825 - pyskl - INFO - Epoch [57][2100/3746] lr: 6.883e-02, eta: 2 days, 13:14:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5336, loss_cls: 4.5094, loss: 4.5094 2023-12-26 05:56:13,816 - pyskl - INFO - Epoch [57][2200/3746] lr: 6.881e-02, eta: 2 days, 13:13:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5397, loss_cls: 4.4799, loss: 4.4799 2023-12-26 05:57:13,422 - pyskl - INFO - Epoch [57][2300/3746] lr: 6.878e-02, eta: 2 days, 13:12:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5244, loss_cls: 4.5267, loss: 4.5267 2023-12-26 05:58:12,938 - pyskl - INFO - Epoch [57][2400/3746] lr: 6.876e-02, eta: 2 days, 13:11:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2819, top5_acc: 0.5397, loss_cls: 4.4560, loss: 4.4560 2023-12-26 05:59:12,527 - pyskl - INFO - Epoch [57][2500/3746] lr: 6.873e-02, eta: 2 days, 13:09:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2672, top5_acc: 0.5300, loss_cls: 4.4991, loss: 4.4991 2023-12-26 06:00:13,256 - pyskl - INFO - Epoch [57][2600/3746] lr: 6.870e-02, eta: 2 days, 13:08:47, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2786, top5_acc: 0.5220, loss_cls: 4.4982, loss: 4.4982 2023-12-26 06:01:14,233 - pyskl - INFO - Epoch [57][2700/3746] lr: 6.868e-02, eta: 2 days, 13:07:41, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5206, loss_cls: 4.5027, loss: 4.5027 2023-12-26 06:02:14,760 - pyskl - INFO - Epoch [57][2800/3746] lr: 6.865e-02, eta: 2 days, 13:06:34, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5320, loss_cls: 4.4739, loss: 4.4739 2023-12-26 06:03:14,558 - pyskl - INFO - Epoch [57][2900/3746] lr: 6.863e-02, eta: 2 days, 13:05:26, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2636, top5_acc: 0.5261, loss_cls: 4.4998, loss: 4.4998 2023-12-26 06:04:14,032 - pyskl - INFO - Epoch [57][3000/3746] lr: 6.860e-02, eta: 2 days, 13:04:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5164, loss_cls: 4.5300, loss: 4.5300 2023-12-26 06:05:13,836 - pyskl - INFO - Epoch [57][3100/3746] lr: 6.857e-02, eta: 2 days, 13:03:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5270, loss_cls: 4.5067, loss: 4.5067 2023-12-26 06:06:13,283 - pyskl - INFO - Epoch [57][3200/3746] lr: 6.855e-02, eta: 2 days, 13:02:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2686, top5_acc: 0.5230, loss_cls: 4.5091, loss: 4.5091 2023-12-26 06:07:13,134 - pyskl - INFO - Epoch [57][3300/3746] lr: 6.852e-02, eta: 2 days, 13:00:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5409, loss_cls: 4.4485, loss: 4.4485 2023-12-26 06:08:12,947 - pyskl - INFO - Epoch [57][3400/3746] lr: 6.850e-02, eta: 2 days, 12:59:44, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2792, top5_acc: 0.5309, loss_cls: 4.4870, loss: 4.4870 2023-12-26 06:09:12,494 - pyskl - INFO - Epoch [57][3500/3746] lr: 6.847e-02, eta: 2 days, 12:58:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5342, loss_cls: 4.4746, loss: 4.4746 2023-12-26 06:10:11,944 - pyskl - INFO - Epoch [57][3600/3746] lr: 6.844e-02, eta: 2 days, 12:57:27, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5322, loss_cls: 4.4806, loss: 4.4806 2023-12-26 06:11:11,427 - pyskl - INFO - Epoch [57][3700/3746] lr: 6.842e-02, eta: 2 days, 12:56:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2659, top5_acc: 0.5259, loss_cls: 4.5123, loss: 4.5123 2023-12-26 06:11:41,512 - pyskl - INFO - Saving checkpoint at 57 epochs 2023-12-26 06:13:43,908 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 06:13:44,695 - pyskl - INFO - top1_acc 0.2209 top5_acc 0.4571 2023-12-26 06:13:44,695 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 06:13:44,732 - pyskl - INFO - mean_acc 0.2209 2023-12-26 06:13:44,740 - pyskl - INFO - Epoch(val) [57][309] top1_acc: 0.2209, top5_acc: 0.4571, mean_class_accuracy: 0.2209 2023-12-26 06:17:05,562 - pyskl - INFO - Epoch [58][100/3746] lr: 6.838e-02, eta: 2 days, 12:57:44, time: 2.008, data_time: 1.407, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5450, loss_cls: 4.3973, loss: 4.3973 2023-12-26 06:18:05,335 - pyskl - INFO - Epoch [58][200/3746] lr: 6.835e-02, eta: 2 days, 12:56:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5320, loss_cls: 4.4773, loss: 4.4773 2023-12-26 06:19:05,087 - pyskl - INFO - Epoch [58][300/3746] lr: 6.833e-02, eta: 2 days, 12:55:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5403, loss_cls: 4.4425, loss: 4.4425 2023-12-26 06:20:04,871 - pyskl - INFO - Epoch [58][400/3746] lr: 6.830e-02, eta: 2 days, 12:54:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5328, loss_cls: 4.4825, loss: 4.4825 2023-12-26 06:21:04,501 - pyskl - INFO - Epoch [58][500/3746] lr: 6.828e-02, eta: 2 days, 12:53:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2922, top5_acc: 0.5387, loss_cls: 4.4380, loss: 4.4380 2023-12-26 06:22:04,088 - pyskl - INFO - Epoch [58][600/3746] lr: 6.825e-02, eta: 2 days, 12:52:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2712, top5_acc: 0.5297, loss_cls: 4.4979, loss: 4.4979 2023-12-26 06:23:03,754 - pyskl - INFO - Epoch [58][700/3746] lr: 6.822e-02, eta: 2 days, 12:50:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2781, top5_acc: 0.5302, loss_cls: 4.4580, loss: 4.4580 2023-12-26 06:24:03,900 - pyskl - INFO - Epoch [58][800/3746] lr: 6.820e-02, eta: 2 days, 12:49:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2792, top5_acc: 0.5409, loss_cls: 4.4633, loss: 4.4633 2023-12-26 06:25:03,206 - pyskl - INFO - Epoch [58][900/3746] lr: 6.817e-02, eta: 2 days, 12:48:37, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2719, top5_acc: 0.5273, loss_cls: 4.4918, loss: 4.4918 2023-12-26 06:26:03,191 - pyskl - INFO - Epoch [58][1000/3746] lr: 6.815e-02, eta: 2 days, 12:47:29, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5328, loss_cls: 4.4684, loss: 4.4684 2023-12-26 06:27:03,922 - pyskl - INFO - Epoch [58][1100/3746] lr: 6.812e-02, eta: 2 days, 12:46:22, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5294, loss_cls: 4.4730, loss: 4.4730 2023-12-26 06:28:03,651 - pyskl - INFO - Epoch [58][1200/3746] lr: 6.809e-02, eta: 2 days, 12:45:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5337, loss_cls: 4.4584, loss: 4.4584 2023-12-26 06:29:03,681 - pyskl - INFO - Epoch [58][1300/3746] lr: 6.807e-02, eta: 2 days, 12:44:06, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5455, loss_cls: 4.4362, loss: 4.4362 2023-12-26 06:30:03,869 - pyskl - INFO - Epoch [58][1400/3746] lr: 6.804e-02, eta: 2 days, 12:42:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5247, loss_cls: 4.4709, loss: 4.4709 2023-12-26 06:31:03,684 - pyskl - INFO - Epoch [58][1500/3746] lr: 6.802e-02, eta: 2 days, 12:41:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5367, loss_cls: 4.4682, loss: 4.4682 2023-12-26 06:32:04,241 - pyskl - INFO - Epoch [58][1600/3746] lr: 6.799e-02, eta: 2 days, 12:40:43, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2702, top5_acc: 0.5322, loss_cls: 4.5070, loss: 4.5070 2023-12-26 06:33:04,270 - pyskl - INFO - Epoch [58][1700/3746] lr: 6.796e-02, eta: 2 days, 12:39:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5359, loss_cls: 4.4541, loss: 4.4541 2023-12-26 06:34:04,204 - pyskl - INFO - Epoch [58][1800/3746] lr: 6.794e-02, eta: 2 days, 12:38:28, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5336, loss_cls: 4.4692, loss: 4.4692 2023-12-26 06:35:04,169 - pyskl - INFO - Epoch [58][1900/3746] lr: 6.791e-02, eta: 2 days, 12:37:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5236, loss_cls: 4.4979, loss: 4.4979 2023-12-26 06:36:04,180 - pyskl - INFO - Epoch [58][2000/3746] lr: 6.789e-02, eta: 2 days, 12:36:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5302, loss_cls: 4.4904, loss: 4.4904 2023-12-26 06:37:03,857 - pyskl - INFO - Epoch [58][2100/3746] lr: 6.786e-02, eta: 2 days, 12:35:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5330, loss_cls: 4.4732, loss: 4.4732 2023-12-26 06:38:03,438 - pyskl - INFO - Epoch [58][2200/3746] lr: 6.783e-02, eta: 2 days, 12:33:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2786, top5_acc: 0.5233, loss_cls: 4.5141, loss: 4.5141 2023-12-26 06:39:03,061 - pyskl - INFO - Epoch [58][2300/3746] lr: 6.781e-02, eta: 2 days, 12:32:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2745, top5_acc: 0.5242, loss_cls: 4.5163, loss: 4.5163 2023-12-26 06:40:02,919 - pyskl - INFO - Epoch [58][2400/3746] lr: 6.778e-02, eta: 2 days, 12:31:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5334, loss_cls: 4.4523, loss: 4.4523 2023-12-26 06:41:02,881 - pyskl - INFO - Epoch [58][2500/3746] lr: 6.775e-02, eta: 2 days, 12:30:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5363, loss_cls: 4.4729, loss: 4.4729 2023-12-26 06:42:03,676 - pyskl - INFO - Epoch [58][2600/3746] lr: 6.773e-02, eta: 2 days, 12:29:25, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5255, loss_cls: 4.5026, loss: 4.5026 2023-12-26 06:43:04,355 - pyskl - INFO - Epoch [58][2700/3746] lr: 6.770e-02, eta: 2 days, 12:28:18, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5230, loss_cls: 4.5038, loss: 4.5038 2023-12-26 06:44:04,341 - pyskl - INFO - Epoch [58][2800/3746] lr: 6.768e-02, eta: 2 days, 12:27:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5283, loss_cls: 4.4964, loss: 4.4964 2023-12-26 06:45:03,877 - pyskl - INFO - Epoch [58][2900/3746] lr: 6.765e-02, eta: 2 days, 12:26:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2633, top5_acc: 0.5097, loss_cls: 4.5492, loss: 4.5492 2023-12-26 06:46:03,503 - pyskl - INFO - Epoch [58][3000/3746] lr: 6.762e-02, eta: 2 days, 12:24:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5261, loss_cls: 4.4771, loss: 4.4771 2023-12-26 06:47:03,134 - pyskl - INFO - Epoch [58][3100/3746] lr: 6.760e-02, eta: 2 days, 12:23:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5364, loss_cls: 4.4770, loss: 4.4770 2023-12-26 06:48:02,808 - pyskl - INFO - Epoch [58][3200/3746] lr: 6.757e-02, eta: 2 days, 12:22:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5205, loss_cls: 4.4986, loss: 4.4986 2023-12-26 06:49:02,983 - pyskl - INFO - Epoch [58][3300/3746] lr: 6.755e-02, eta: 2 days, 12:21:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2716, top5_acc: 0.5278, loss_cls: 4.5110, loss: 4.5110 2023-12-26 06:50:02,857 - pyskl - INFO - Epoch [58][3400/3746] lr: 6.752e-02, eta: 2 days, 12:20:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5283, loss_cls: 4.4981, loss: 4.4981 2023-12-26 06:51:04,091 - pyskl - INFO - Epoch [58][3500/3746] lr: 6.749e-02, eta: 2 days, 12:19:16, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.2778, top5_acc: 0.5298, loss_cls: 4.4834, loss: 4.4834 2023-12-26 06:52:04,563 - pyskl - INFO - Epoch [58][3600/3746] lr: 6.747e-02, eta: 2 days, 12:18:09, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5327, loss_cls: 4.4828, loss: 4.4828 2023-12-26 06:53:04,953 - pyskl - INFO - Epoch [58][3700/3746] lr: 6.744e-02, eta: 2 days, 12:17:02, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2759, top5_acc: 0.5303, loss_cls: 4.4954, loss: 4.4954 2023-12-26 06:53:35,010 - pyskl - INFO - Saving checkpoint at 58 epochs 2023-12-26 06:55:33,978 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 06:55:35,051 - pyskl - INFO - top1_acc 0.2019 top5_acc 0.4371 2023-12-26 06:55:35,051 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 06:55:35,105 - pyskl - INFO - mean_acc 0.2016 2023-12-26 06:55:35,117 - pyskl - INFO - Epoch(val) [58][309] top1_acc: 0.2019, top5_acc: 0.4371, mean_class_accuracy: 0.2016 2023-12-26 06:58:56,110 - pyskl - INFO - Epoch [59][100/3746] lr: 6.740e-02, eta: 2 days, 12:18:23, time: 2.010, data_time: 1.410, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5328, loss_cls: 4.4519, loss: 4.4519 2023-12-26 06:59:55,660 - pyskl - INFO - Epoch [59][200/3746] lr: 6.738e-02, eta: 2 days, 12:17:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5342, loss_cls: 4.4562, loss: 4.4562 2023-12-26 07:00:56,108 - pyskl - INFO - Epoch [59][300/3746] lr: 6.735e-02, eta: 2 days, 12:16:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5394, loss_cls: 4.4210, loss: 4.4210 2023-12-26 07:01:55,729 - pyskl - INFO - Epoch [59][400/3746] lr: 6.732e-02, eta: 2 days, 12:14:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5358, loss_cls: 4.4553, loss: 4.4553 2023-12-26 07:02:55,378 - pyskl - INFO - Epoch [59][500/3746] lr: 6.730e-02, eta: 2 days, 12:13:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5369, loss_cls: 4.4521, loss: 4.4521 2023-12-26 07:03:54,684 - pyskl - INFO - Epoch [59][600/3746] lr: 6.727e-02, eta: 2 days, 12:12:42, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5416, loss_cls: 4.4493, loss: 4.4493 2023-12-26 07:04:54,746 - pyskl - INFO - Epoch [59][700/3746] lr: 6.725e-02, eta: 2 days, 12:11:34, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5331, loss_cls: 4.4448, loss: 4.4448 2023-12-26 07:05:55,242 - pyskl - INFO - Epoch [59][800/3746] lr: 6.722e-02, eta: 2 days, 12:10:27, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5333, loss_cls: 4.4779, loss: 4.4779 2023-12-26 07:06:54,528 - pyskl - INFO - Epoch [59][900/3746] lr: 6.719e-02, eta: 2 days, 12:09:18, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5267, loss_cls: 4.4978, loss: 4.4978 2023-12-26 07:07:54,692 - pyskl - INFO - Epoch [59][1000/3746] lr: 6.717e-02, eta: 2 days, 12:08:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5264, loss_cls: 4.5147, loss: 4.5147 2023-12-26 07:08:55,266 - pyskl - INFO - Epoch [59][1100/3746] lr: 6.714e-02, eta: 2 days, 12:07:04, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2772, top5_acc: 0.5261, loss_cls: 4.4800, loss: 4.4800 2023-12-26 07:09:54,887 - pyskl - INFO - Epoch [59][1200/3746] lr: 6.711e-02, eta: 2 days, 12:05:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5414, loss_cls: 4.4367, loss: 4.4367 2023-12-26 07:10:55,029 - pyskl - INFO - Epoch [59][1300/3746] lr: 6.709e-02, eta: 2 days, 12:04:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2697, top5_acc: 0.5242, loss_cls: 4.4831, loss: 4.4831 2023-12-26 07:11:54,570 - pyskl - INFO - Epoch [59][1400/3746] lr: 6.706e-02, eta: 2 days, 12:03:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5442, loss_cls: 4.4013, loss: 4.4013 2023-12-26 07:12:54,404 - pyskl - INFO - Epoch [59][1500/3746] lr: 6.704e-02, eta: 2 days, 12:02:32, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5336, loss_cls: 4.4939, loss: 4.4939 2023-12-26 07:13:54,008 - pyskl - INFO - Epoch [59][1600/3746] lr: 6.701e-02, eta: 2 days, 12:01:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2792, top5_acc: 0.5402, loss_cls: 4.4270, loss: 4.4270 2023-12-26 07:14:53,607 - pyskl - INFO - Epoch [59][1700/3746] lr: 6.698e-02, eta: 2 days, 12:00:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5306, loss_cls: 4.4860, loss: 4.4860 2023-12-26 07:15:53,916 - pyskl - INFO - Epoch [59][1800/3746] lr: 6.696e-02, eta: 2 days, 11:59:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5419, loss_cls: 4.4449, loss: 4.4449 2023-12-26 07:16:54,323 - pyskl - INFO - Epoch [59][1900/3746] lr: 6.693e-02, eta: 2 days, 11:58:01, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2877, top5_acc: 0.5411, loss_cls: 4.4405, loss: 4.4405 2023-12-26 07:17:55,163 - pyskl - INFO - Epoch [59][2000/3746] lr: 6.690e-02, eta: 2 days, 11:56:55, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5317, loss_cls: 4.4603, loss: 4.4603 2023-12-26 07:18:55,087 - pyskl - INFO - Epoch [59][2100/3746] lr: 6.688e-02, eta: 2 days, 11:55:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2741, top5_acc: 0.5250, loss_cls: 4.5031, loss: 4.5031 2023-12-26 07:19:54,867 - pyskl - INFO - Epoch [59][2200/3746] lr: 6.685e-02, eta: 2 days, 11:54:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5356, loss_cls: 4.4934, loss: 4.4934 2023-12-26 07:20:54,525 - pyskl - INFO - Epoch [59][2300/3746] lr: 6.682e-02, eta: 2 days, 11:53:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5225, loss_cls: 4.5011, loss: 4.5011 2023-12-26 07:21:54,250 - pyskl - INFO - Epoch [59][2400/3746] lr: 6.680e-02, eta: 2 days, 11:52:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5387, loss_cls: 4.4469, loss: 4.4469 2023-12-26 07:22:54,874 - pyskl - INFO - Epoch [59][2500/3746] lr: 6.677e-02, eta: 2 days, 11:51:16, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5302, loss_cls: 4.4770, loss: 4.4770 2023-12-26 07:23:54,377 - pyskl - INFO - Epoch [59][2600/3746] lr: 6.675e-02, eta: 2 days, 11:50:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5278, loss_cls: 4.5089, loss: 4.5089 2023-12-26 07:24:53,847 - pyskl - INFO - Epoch [59][2700/3746] lr: 6.672e-02, eta: 2 days, 11:48:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5347, loss_cls: 4.4640, loss: 4.4640 2023-12-26 07:25:53,515 - pyskl - INFO - Epoch [59][2800/3746] lr: 6.669e-02, eta: 2 days, 11:47:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5380, loss_cls: 4.4861, loss: 4.4861 2023-12-26 07:26:53,035 - pyskl - INFO - Epoch [59][2900/3746] lr: 6.667e-02, eta: 2 days, 11:46:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5358, loss_cls: 4.4577, loss: 4.4577 2023-12-26 07:27:52,686 - pyskl - INFO - Epoch [59][3000/3746] lr: 6.664e-02, eta: 2 days, 11:45:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5266, loss_cls: 4.5094, loss: 4.5094 2023-12-26 07:28:52,597 - pyskl - INFO - Epoch [59][3100/3746] lr: 6.661e-02, eta: 2 days, 11:44:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5211, loss_cls: 4.5315, loss: 4.5315 2023-12-26 07:29:52,052 - pyskl - INFO - Epoch [59][3200/3746] lr: 6.659e-02, eta: 2 days, 11:43:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5259, loss_cls: 4.5042, loss: 4.5042 2023-12-26 07:30:51,553 - pyskl - INFO - Epoch [59][3300/3746] lr: 6.656e-02, eta: 2 days, 11:42:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5239, loss_cls: 4.4756, loss: 4.4756 2023-12-26 07:31:50,880 - pyskl - INFO - Epoch [59][3400/3746] lr: 6.653e-02, eta: 2 days, 11:41:01, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5291, loss_cls: 4.4938, loss: 4.4938 2023-12-26 07:32:50,522 - pyskl - INFO - Epoch [59][3500/3746] lr: 6.651e-02, eta: 2 days, 11:39:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2750, top5_acc: 0.5189, loss_cls: 4.5315, loss: 4.5315 2023-12-26 07:33:50,218 - pyskl - INFO - Epoch [59][3600/3746] lr: 6.648e-02, eta: 2 days, 11:38:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5333, loss_cls: 4.4521, loss: 4.4521 2023-12-26 07:34:49,782 - pyskl - INFO - Epoch [59][3700/3746] lr: 6.646e-02, eta: 2 days, 11:37:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2755, top5_acc: 0.5222, loss_cls: 4.4999, loss: 4.4999 2023-12-26 07:35:19,727 - pyskl - INFO - Saving checkpoint at 59 epochs 2023-12-26 07:37:20,717 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 07:37:21,755 - pyskl - INFO - top1_acc 0.2166 top5_acc 0.4424 2023-12-26 07:37:21,755 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 07:37:21,793 - pyskl - INFO - mean_acc 0.2165 2023-12-26 07:37:21,804 - pyskl - INFO - Epoch(val) [59][309] top1_acc: 0.2166, top5_acc: 0.4424, mean_class_accuracy: 0.2165 2023-12-26 07:40:40,472 - pyskl - INFO - Epoch [60][100/3746] lr: 6.642e-02, eta: 2 days, 11:38:50, time: 1.987, data_time: 1.384, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5416, loss_cls: 4.4394, loss: 4.4394 2023-12-26 07:41:40,826 - pyskl - INFO - Epoch [60][200/3746] lr: 6.639e-02, eta: 2 days, 11:37:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5394, loss_cls: 4.4487, loss: 4.4487 2023-12-26 07:42:40,850 - pyskl - INFO - Epoch [60][300/3746] lr: 6.636e-02, eta: 2 days, 11:36:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5495, loss_cls: 4.4075, loss: 4.4075 2023-12-26 07:43:41,026 - pyskl - INFO - Epoch [60][400/3746] lr: 6.634e-02, eta: 2 days, 11:35:28, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5453, loss_cls: 4.4342, loss: 4.4342 2023-12-26 07:44:40,464 - pyskl - INFO - Epoch [60][500/3746] lr: 6.631e-02, eta: 2 days, 11:34:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5348, loss_cls: 4.4663, loss: 4.4663 2023-12-26 07:45:39,825 - pyskl - INFO - Epoch [60][600/3746] lr: 6.629e-02, eta: 2 days, 11:33:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5358, loss_cls: 4.4209, loss: 4.4209 2023-12-26 07:46:39,573 - pyskl - INFO - Epoch [60][700/3746] lr: 6.626e-02, eta: 2 days, 11:32:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2756, top5_acc: 0.5339, loss_cls: 4.4713, loss: 4.4713 2023-12-26 07:47:40,583 - pyskl - INFO - Epoch [60][800/3746] lr: 6.623e-02, eta: 2 days, 11:30:56, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5359, loss_cls: 4.4546, loss: 4.4546 2023-12-26 07:48:40,632 - pyskl - INFO - Epoch [60][900/3746] lr: 6.621e-02, eta: 2 days, 11:29:49, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2777, top5_acc: 0.5258, loss_cls: 4.4765, loss: 4.4765 2023-12-26 07:49:40,371 - pyskl - INFO - Epoch [60][1000/3746] lr: 6.618e-02, eta: 2 days, 11:28:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2928, top5_acc: 0.5430, loss_cls: 4.4325, loss: 4.4325 2023-12-26 07:50:40,502 - pyskl - INFO - Epoch [60][1100/3746] lr: 6.615e-02, eta: 2 days, 11:27:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5308, loss_cls: 4.4787, loss: 4.4787 2023-12-26 07:51:39,877 - pyskl - INFO - Epoch [60][1200/3746] lr: 6.613e-02, eta: 2 days, 11:26:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2669, top5_acc: 0.5306, loss_cls: 4.5072, loss: 4.5072 2023-12-26 07:52:39,403 - pyskl - INFO - Epoch [60][1300/3746] lr: 6.610e-02, eta: 2 days, 11:25:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2742, top5_acc: 0.5200, loss_cls: 4.5121, loss: 4.5121 2023-12-26 07:53:38,822 - pyskl - INFO - Epoch [60][1400/3746] lr: 6.607e-02, eta: 2 days, 11:24:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5363, loss_cls: 4.4612, loss: 4.4612 2023-12-26 07:54:38,149 - pyskl - INFO - Epoch [60][1500/3746] lr: 6.605e-02, eta: 2 days, 11:23:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5339, loss_cls: 4.4432, loss: 4.4432 2023-12-26 07:55:37,350 - pyskl - INFO - Epoch [60][1600/3746] lr: 6.602e-02, eta: 2 days, 11:21:51, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2762, top5_acc: 0.5342, loss_cls: 4.4755, loss: 4.4755 2023-12-26 07:56:36,433 - pyskl - INFO - Epoch [60][1700/3746] lr: 6.599e-02, eta: 2 days, 11:20:42, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5247, loss_cls: 4.4566, loss: 4.4566 2023-12-26 07:57:36,011 - pyskl - INFO - Epoch [60][1800/3746] lr: 6.597e-02, eta: 2 days, 11:19:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5267, loss_cls: 4.4995, loss: 4.4995 2023-12-26 07:58:35,349 - pyskl - INFO - Epoch [60][1900/3746] lr: 6.594e-02, eta: 2 days, 11:18:25, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2658, top5_acc: 0.5217, loss_cls: 4.5119, loss: 4.5119 2023-12-26 07:59:34,892 - pyskl - INFO - Epoch [60][2000/3746] lr: 6.591e-02, eta: 2 days, 11:17:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5341, loss_cls: 4.4566, loss: 4.4566 2023-12-26 08:00:34,396 - pyskl - INFO - Epoch [60][2100/3746] lr: 6.589e-02, eta: 2 days, 11:16:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5247, loss_cls: 4.5093, loss: 4.5093 2023-12-26 08:01:33,893 - pyskl - INFO - Epoch [60][2200/3746] lr: 6.586e-02, eta: 2 days, 11:15:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5353, loss_cls: 4.4569, loss: 4.4569 2023-12-26 08:02:33,484 - pyskl - INFO - Epoch [60][2300/3746] lr: 6.584e-02, eta: 2 days, 11:13:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5350, loss_cls: 4.4901, loss: 4.4901 2023-12-26 08:03:32,911 - pyskl - INFO - Epoch [60][2400/3746] lr: 6.581e-02, eta: 2 days, 11:12:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5369, loss_cls: 4.4770, loss: 4.4770 2023-12-26 08:04:32,448 - pyskl - INFO - Epoch [60][2500/3746] lr: 6.578e-02, eta: 2 days, 11:11:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5405, loss_cls: 4.4713, loss: 4.4713 2023-12-26 08:05:32,356 - pyskl - INFO - Epoch [60][2600/3746] lr: 6.576e-02, eta: 2 days, 11:10:28, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5327, loss_cls: 4.4542, loss: 4.4542 2023-12-26 08:06:31,973 - pyskl - INFO - Epoch [60][2700/3746] lr: 6.573e-02, eta: 2 days, 11:09:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5297, loss_cls: 4.4698, loss: 4.4698 2023-12-26 08:07:31,663 - pyskl - INFO - Epoch [60][2800/3746] lr: 6.570e-02, eta: 2 days, 11:08:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5391, loss_cls: 4.4784, loss: 4.4784 2023-12-26 08:08:31,222 - pyskl - INFO - Epoch [60][2900/3746] lr: 6.568e-02, eta: 2 days, 11:07:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5298, loss_cls: 4.4624, loss: 4.4624 2023-12-26 08:09:30,663 - pyskl - INFO - Epoch [60][3000/3746] lr: 6.565e-02, eta: 2 days, 11:05:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5411, loss_cls: 4.4532, loss: 4.4532 2023-12-26 08:10:29,965 - pyskl - INFO - Epoch [60][3100/3746] lr: 6.562e-02, eta: 2 days, 11:04:47, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5366, loss_cls: 4.4656, loss: 4.4656 2023-12-26 08:11:29,286 - pyskl - INFO - Epoch [60][3200/3746] lr: 6.560e-02, eta: 2 days, 11:03:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5419, loss_cls: 4.4431, loss: 4.4431 2023-12-26 08:12:28,728 - pyskl - INFO - Epoch [60][3300/3746] lr: 6.557e-02, eta: 2 days, 11:02:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2773, top5_acc: 0.5344, loss_cls: 4.4816, loss: 4.4816 2023-12-26 08:13:28,404 - pyskl - INFO - Epoch [60][3400/3746] lr: 6.554e-02, eta: 2 days, 11:01:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5341, loss_cls: 4.4347, loss: 4.4347 2023-12-26 08:14:28,054 - pyskl - INFO - Epoch [60][3500/3746] lr: 6.552e-02, eta: 2 days, 11:00:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2916, top5_acc: 0.5416, loss_cls: 4.4215, loss: 4.4215 2023-12-26 08:15:28,040 - pyskl - INFO - Epoch [60][3600/3746] lr: 6.549e-02, eta: 2 days, 10:59:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5370, loss_cls: 4.4539, loss: 4.4539 2023-12-26 08:16:27,792 - pyskl - INFO - Epoch [60][3700/3746] lr: 6.546e-02, eta: 2 days, 10:58:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2744, top5_acc: 0.5292, loss_cls: 4.4906, loss: 4.4906 2023-12-26 08:16:58,211 - pyskl - INFO - Saving checkpoint at 60 epochs 2023-12-26 08:18:59,994 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 08:19:00,753 - pyskl - INFO - top1_acc 0.1989 top5_acc 0.4199 2023-12-26 08:19:00,753 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 08:19:00,783 - pyskl - INFO - mean_acc 0.1988 2023-12-26 08:19:00,790 - pyskl - INFO - Epoch(val) [60][309] top1_acc: 0.1989, top5_acc: 0.4199, mean_class_accuracy: 0.1988 2023-12-26 08:22:21,746 - pyskl - INFO - Epoch [61][100/3746] lr: 6.542e-02, eta: 2 days, 10:59:11, time: 2.009, data_time: 1.408, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5570, loss_cls: 4.3428, loss: 4.3428 2023-12-26 08:23:21,623 - pyskl - INFO - Epoch [61][200/3746] lr: 6.540e-02, eta: 2 days, 10:58:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2806, top5_acc: 0.5356, loss_cls: 4.4558, loss: 4.4558 2023-12-26 08:24:21,480 - pyskl - INFO - Epoch [61][300/3746] lr: 6.537e-02, eta: 2 days, 10:56:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2814, top5_acc: 0.5319, loss_cls: 4.4601, loss: 4.4601 2023-12-26 08:25:21,217 - pyskl - INFO - Epoch [61][400/3746] lr: 6.534e-02, eta: 2 days, 10:55:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2828, top5_acc: 0.5420, loss_cls: 4.4420, loss: 4.4420 2023-12-26 08:26:21,034 - pyskl - INFO - Epoch [61][500/3746] lr: 6.532e-02, eta: 2 days, 10:54:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5452, loss_cls: 4.4334, loss: 4.4334 2023-12-26 08:27:20,975 - pyskl - INFO - Epoch [61][600/3746] lr: 6.529e-02, eta: 2 days, 10:53:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5380, loss_cls: 4.4681, loss: 4.4681 2023-12-26 08:28:20,687 - pyskl - INFO - Epoch [61][700/3746] lr: 6.526e-02, eta: 2 days, 10:52:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5384, loss_cls: 4.4582, loss: 4.4582 2023-12-26 08:29:21,099 - pyskl - INFO - Epoch [61][800/3746] lr: 6.524e-02, eta: 2 days, 10:51:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5425, loss_cls: 4.4202, loss: 4.4202 2023-12-26 08:30:21,153 - pyskl - INFO - Epoch [61][900/3746] lr: 6.521e-02, eta: 2 days, 10:50:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5363, loss_cls: 4.4407, loss: 4.4407 2023-12-26 08:31:20,958 - pyskl - INFO - Epoch [61][1000/3746] lr: 6.519e-02, eta: 2 days, 10:49:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5272, loss_cls: 4.4970, loss: 4.4970 2023-12-26 08:32:21,168 - pyskl - INFO - Epoch [61][1100/3746] lr: 6.516e-02, eta: 2 days, 10:47:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2800, top5_acc: 0.5333, loss_cls: 4.4718, loss: 4.4718 2023-12-26 08:33:21,149 - pyskl - INFO - Epoch [61][1200/3746] lr: 6.513e-02, eta: 2 days, 10:46:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5156, loss_cls: 4.5063, loss: 4.5063 2023-12-26 08:34:20,963 - pyskl - INFO - Epoch [61][1300/3746] lr: 6.511e-02, eta: 2 days, 10:45:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5369, loss_cls: 4.4263, loss: 4.4263 2023-12-26 08:35:21,223 - pyskl - INFO - Epoch [61][1400/3746] lr: 6.508e-02, eta: 2 days, 10:44:33, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5378, loss_cls: 4.4275, loss: 4.4275 2023-12-26 08:36:20,801 - pyskl - INFO - Epoch [61][1500/3746] lr: 6.505e-02, eta: 2 days, 10:43:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5289, loss_cls: 4.4762, loss: 4.4762 2023-12-26 08:37:20,202 - pyskl - INFO - Epoch [61][1600/3746] lr: 6.503e-02, eta: 2 days, 10:42:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5453, loss_cls: 4.4017, loss: 4.4017 2023-12-26 08:38:19,547 - pyskl - INFO - Epoch [61][1700/3746] lr: 6.500e-02, eta: 2 days, 10:41:08, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5366, loss_cls: 4.4830, loss: 4.4830 2023-12-26 08:39:18,837 - pyskl - INFO - Epoch [61][1800/3746] lr: 6.497e-02, eta: 2 days, 10:40:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2770, top5_acc: 0.5314, loss_cls: 4.4938, loss: 4.4938 2023-12-26 08:40:18,381 - pyskl - INFO - Epoch [61][1900/3746] lr: 6.495e-02, eta: 2 days, 10:38:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5255, loss_cls: 4.4859, loss: 4.4859 2023-12-26 08:41:18,355 - pyskl - INFO - Epoch [61][2000/3746] lr: 6.492e-02, eta: 2 days, 10:37:45, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2761, top5_acc: 0.5380, loss_cls: 4.4462, loss: 4.4462 2023-12-26 08:42:18,263 - pyskl - INFO - Epoch [61][2100/3746] lr: 6.489e-02, eta: 2 days, 10:36:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2916, top5_acc: 0.5355, loss_cls: 4.4400, loss: 4.4400 2023-12-26 08:43:17,973 - pyskl - INFO - Epoch [61][2200/3746] lr: 6.487e-02, eta: 2 days, 10:35:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2775, top5_acc: 0.5370, loss_cls: 4.4611, loss: 4.4611 2023-12-26 08:44:17,244 - pyskl - INFO - Epoch [61][2300/3746] lr: 6.484e-02, eta: 2 days, 10:34:21, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5337, loss_cls: 4.4426, loss: 4.4426 2023-12-26 08:45:16,694 - pyskl - INFO - Epoch [61][2400/3746] lr: 6.481e-02, eta: 2 days, 10:33:13, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5441, loss_cls: 4.4249, loss: 4.4249 2023-12-26 08:46:16,050 - pyskl - INFO - Epoch [61][2500/3746] lr: 6.478e-02, eta: 2 days, 10:32:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5300, loss_cls: 4.4615, loss: 4.4615 2023-12-26 08:47:15,715 - pyskl - INFO - Epoch [61][2600/3746] lr: 6.476e-02, eta: 2 days, 10:30:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5397, loss_cls: 4.4593, loss: 4.4593 2023-12-26 08:48:15,291 - pyskl - INFO - Epoch [61][2700/3746] lr: 6.473e-02, eta: 2 days, 10:29:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5178, loss_cls: 4.5069, loss: 4.5069 2023-12-26 08:49:14,816 - pyskl - INFO - Epoch [61][2800/3746] lr: 6.470e-02, eta: 2 days, 10:28:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5341, loss_cls: 4.4596, loss: 4.4596 2023-12-26 08:50:15,100 - pyskl - INFO - Epoch [61][2900/3746] lr: 6.468e-02, eta: 2 days, 10:27:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2845, top5_acc: 0.5436, loss_cls: 4.4492, loss: 4.4492 2023-12-26 08:51:14,695 - pyskl - INFO - Epoch [61][3000/3746] lr: 6.465e-02, eta: 2 days, 10:26:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5409, loss_cls: 4.4337, loss: 4.4337 2023-12-26 08:52:14,064 - pyskl - INFO - Epoch [61][3100/3746] lr: 6.462e-02, eta: 2 days, 10:25:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2730, top5_acc: 0.5230, loss_cls: 4.5006, loss: 4.5006 2023-12-26 08:53:13,561 - pyskl - INFO - Epoch [61][3200/3746] lr: 6.460e-02, eta: 2 days, 10:24:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5344, loss_cls: 4.4601, loss: 4.4601 2023-12-26 08:54:13,037 - pyskl - INFO - Epoch [61][3300/3746] lr: 6.457e-02, eta: 2 days, 10:23:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2769, top5_acc: 0.5261, loss_cls: 4.4901, loss: 4.4901 2023-12-26 08:55:12,256 - pyskl - INFO - Epoch [61][3400/3746] lr: 6.454e-02, eta: 2 days, 10:21:53, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5433, loss_cls: 4.4307, loss: 4.4307 2023-12-26 08:56:11,354 - pyskl - INFO - Epoch [61][3500/3746] lr: 6.452e-02, eta: 2 days, 10:20:44, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5378, loss_cls: 4.4408, loss: 4.4408 2023-12-26 08:57:10,728 - pyskl - INFO - Epoch [61][3600/3746] lr: 6.449e-02, eta: 2 days, 10:19:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5339, loss_cls: 4.4679, loss: 4.4679 2023-12-26 08:58:10,248 - pyskl - INFO - Epoch [61][3700/3746] lr: 6.446e-02, eta: 2 days, 10:18:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5367, loss_cls: 4.4538, loss: 4.4538 2023-12-26 08:58:39,892 - pyskl - INFO - Saving checkpoint at 61 epochs 2023-12-26 09:00:41,453 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 09:00:42,254 - pyskl - INFO - top1_acc 0.2126 top5_acc 0.4478 2023-12-26 09:00:42,254 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 09:00:42,286 - pyskl - INFO - mean_acc 0.2126 2023-12-26 09:00:42,294 - pyskl - INFO - Epoch(val) [61][309] top1_acc: 0.2126, top5_acc: 0.4478, mean_class_accuracy: 0.2126 2023-12-26 09:04:00,379 - pyskl - INFO - Epoch [62][100/3746] lr: 6.443e-02, eta: 2 days, 10:19:31, time: 1.981, data_time: 1.381, memory: 16177, top1_acc: 0.2789, top5_acc: 0.5389, loss_cls: 4.4147, loss: 4.4147 2023-12-26 09:05:00,093 - pyskl - INFO - Epoch [62][200/3746] lr: 6.440e-02, eta: 2 days, 10:18:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5447, loss_cls: 4.4302, loss: 4.4302 2023-12-26 09:05:59,777 - pyskl - INFO - Epoch [62][300/3746] lr: 6.437e-02, eta: 2 days, 10:17:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5400, loss_cls: 4.4130, loss: 4.4130 2023-12-26 09:06:59,612 - pyskl - INFO - Epoch [62][400/3746] lr: 6.434e-02, eta: 2 days, 10:16:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5297, loss_cls: 4.4494, loss: 4.4494 2023-12-26 09:07:59,394 - pyskl - INFO - Epoch [62][500/3746] lr: 6.432e-02, eta: 2 days, 10:15:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2884, top5_acc: 0.5494, loss_cls: 4.4029, loss: 4.4029 2023-12-26 09:08:59,105 - pyskl - INFO - Epoch [62][600/3746] lr: 6.429e-02, eta: 2 days, 10:13:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5377, loss_cls: 4.4392, loss: 4.4392 2023-12-26 09:09:58,606 - pyskl - INFO - Epoch [62][700/3746] lr: 6.426e-02, eta: 2 days, 10:12:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5394, loss_cls: 4.4412, loss: 4.4412 2023-12-26 09:10:58,525 - pyskl - INFO - Epoch [62][800/3746] lr: 6.424e-02, eta: 2 days, 10:11:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5334, loss_cls: 4.4751, loss: 4.4751 2023-12-26 09:11:58,548 - pyskl - INFO - Epoch [62][900/3746] lr: 6.421e-02, eta: 2 days, 10:10:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5408, loss_cls: 4.4225, loss: 4.4225 2023-12-26 09:12:58,357 - pyskl - INFO - Epoch [62][1000/3746] lr: 6.418e-02, eta: 2 days, 10:09:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5344, loss_cls: 4.4501, loss: 4.4501 2023-12-26 09:13:58,472 - pyskl - INFO - Epoch [62][1100/3746] lr: 6.416e-02, eta: 2 days, 10:08:15, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5469, loss_cls: 4.4421, loss: 4.4421 2023-12-26 09:14:58,750 - pyskl - INFO - Epoch [62][1200/3746] lr: 6.413e-02, eta: 2 days, 10:07:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2711, top5_acc: 0.5306, loss_cls: 4.4908, loss: 4.4908 2023-12-26 09:15:58,024 - pyskl - INFO - Epoch [62][1300/3746] lr: 6.410e-02, eta: 2 days, 10:06:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5422, loss_cls: 4.4244, loss: 4.4244 2023-12-26 09:16:57,151 - pyskl - INFO - Epoch [62][1400/3746] lr: 6.408e-02, eta: 2 days, 10:04:51, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5456, loss_cls: 4.4265, loss: 4.4265 2023-12-26 09:17:56,623 - pyskl - INFO - Epoch [62][1500/3746] lr: 6.405e-02, eta: 2 days, 10:03:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2922, top5_acc: 0.5514, loss_cls: 4.4001, loss: 4.4001 2023-12-26 09:18:56,188 - pyskl - INFO - Epoch [62][1600/3746] lr: 6.402e-02, eta: 2 days, 10:02:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5341, loss_cls: 4.4594, loss: 4.4594 2023-12-26 09:19:55,488 - pyskl - INFO - Epoch [62][1700/3746] lr: 6.400e-02, eta: 2 days, 10:01:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5397, loss_cls: 4.4263, loss: 4.4263 2023-12-26 09:20:54,970 - pyskl - INFO - Epoch [62][1800/3746] lr: 6.397e-02, eta: 2 days, 10:00:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5463, loss_cls: 4.4649, loss: 4.4649 2023-12-26 09:21:54,557 - pyskl - INFO - Epoch [62][1900/3746] lr: 6.394e-02, eta: 2 days, 9:59:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5480, loss_cls: 4.3797, loss: 4.3797 2023-12-26 09:22:54,213 - pyskl - INFO - Epoch [62][2000/3746] lr: 6.392e-02, eta: 2 days, 9:58:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5341, loss_cls: 4.4615, loss: 4.4615 2023-12-26 09:23:53,942 - pyskl - INFO - Epoch [62][2100/3746] lr: 6.389e-02, eta: 2 days, 9:56:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2855, top5_acc: 0.5453, loss_cls: 4.4297, loss: 4.4297 2023-12-26 09:24:53,441 - pyskl - INFO - Epoch [62][2200/3746] lr: 6.386e-02, eta: 2 days, 9:55:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2752, top5_acc: 0.5317, loss_cls: 4.4916, loss: 4.4916 2023-12-26 09:25:53,465 - pyskl - INFO - Epoch [62][2300/3746] lr: 6.384e-02, eta: 2 days, 9:54:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2737, top5_acc: 0.5367, loss_cls: 4.4894, loss: 4.4894 2023-12-26 09:26:53,897 - pyskl - INFO - Epoch [62][2400/3746] lr: 6.381e-02, eta: 2 days, 9:53:34, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5356, loss_cls: 4.4682, loss: 4.4682 2023-12-26 09:27:53,828 - pyskl - INFO - Epoch [62][2500/3746] lr: 6.378e-02, eta: 2 days, 9:52:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2897, top5_acc: 0.5377, loss_cls: 4.4344, loss: 4.4344 2023-12-26 09:28:53,382 - pyskl - INFO - Epoch [62][2600/3746] lr: 6.375e-02, eta: 2 days, 9:51:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5286, loss_cls: 4.4829, loss: 4.4829 2023-12-26 09:29:52,806 - pyskl - INFO - Epoch [62][2700/3746] lr: 6.373e-02, eta: 2 days, 9:50:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2822, top5_acc: 0.5305, loss_cls: 4.4682, loss: 4.4682 2023-12-26 09:30:52,308 - pyskl - INFO - Epoch [62][2800/3746] lr: 6.370e-02, eta: 2 days, 9:49:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2733, top5_acc: 0.5328, loss_cls: 4.4865, loss: 4.4865 2023-12-26 09:31:51,843 - pyskl - INFO - Epoch [62][2900/3746] lr: 6.367e-02, eta: 2 days, 9:47:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5291, loss_cls: 4.4583, loss: 4.4583 2023-12-26 09:32:51,762 - pyskl - INFO - Epoch [62][3000/3746] lr: 6.365e-02, eta: 2 days, 9:46:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5322, loss_cls: 4.4420, loss: 4.4420 2023-12-26 09:33:52,203 - pyskl - INFO - Epoch [62][3100/3746] lr: 6.362e-02, eta: 2 days, 9:45:41, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5397, loss_cls: 4.4413, loss: 4.4413 2023-12-26 09:34:52,409 - pyskl - INFO - Epoch [62][3200/3746] lr: 6.359e-02, eta: 2 days, 9:44:34, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2897, top5_acc: 0.5439, loss_cls: 4.4415, loss: 4.4415 2023-12-26 09:35:53,036 - pyskl - INFO - Epoch [62][3300/3746] lr: 6.357e-02, eta: 2 days, 9:43:28, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5413, loss_cls: 4.4451, loss: 4.4451 2023-12-26 09:36:53,361 - pyskl - INFO - Epoch [62][3400/3746] lr: 6.354e-02, eta: 2 days, 9:42:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5336, loss_cls: 4.4356, loss: 4.4356 2023-12-26 09:37:53,129 - pyskl - INFO - Epoch [62][3500/3746] lr: 6.351e-02, eta: 2 days, 9:41:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5361, loss_cls: 4.4501, loss: 4.4501 2023-12-26 09:38:52,580 - pyskl - INFO - Epoch [62][3600/3746] lr: 6.349e-02, eta: 2 days, 9:40:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5323, loss_cls: 4.4591, loss: 4.4591 2023-12-26 09:39:51,920 - pyskl - INFO - Epoch [62][3700/3746] lr: 6.346e-02, eta: 2 days, 9:38:58, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2827, top5_acc: 0.5306, loss_cls: 4.4797, loss: 4.4797 2023-12-26 09:40:22,024 - pyskl - INFO - Saving checkpoint at 62 epochs 2023-12-26 09:42:20,539 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 09:42:21,594 - pyskl - INFO - top1_acc 0.2100 top5_acc 0.4476 2023-12-26 09:42:21,594 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 09:42:21,638 - pyskl - INFO - mean_acc 0.2101 2023-12-26 09:42:21,647 - pyskl - INFO - Epoch(val) [62][309] top1_acc: 0.2100, top5_acc: 0.4476, mean_class_accuracy: 0.2101 2023-12-26 09:45:34,584 - pyskl - INFO - Epoch [63][100/3746] lr: 6.342e-02, eta: 2 days, 9:39:49, time: 1.929, data_time: 1.328, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5483, loss_cls: 4.3713, loss: 4.3713 2023-12-26 09:46:34,479 - pyskl - INFO - Epoch [63][200/3746] lr: 6.339e-02, eta: 2 days, 9:38:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5586, loss_cls: 4.3530, loss: 4.3530 2023-12-26 09:47:34,297 - pyskl - INFO - Epoch [63][300/3746] lr: 6.337e-02, eta: 2 days, 9:37:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2922, top5_acc: 0.5441, loss_cls: 4.3960, loss: 4.3960 2023-12-26 09:48:34,263 - pyskl - INFO - Epoch [63][400/3746] lr: 6.334e-02, eta: 2 days, 9:36:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5445, loss_cls: 4.4235, loss: 4.4235 2023-12-26 09:49:34,325 - pyskl - INFO - Epoch [63][500/3746] lr: 6.331e-02, eta: 2 days, 9:35:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5417, loss_cls: 4.4112, loss: 4.4112 2023-12-26 09:50:33,734 - pyskl - INFO - Epoch [63][600/3746] lr: 6.328e-02, eta: 2 days, 9:34:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2792, top5_acc: 0.5336, loss_cls: 4.4566, loss: 4.4566 2023-12-26 09:51:33,277 - pyskl - INFO - Epoch [63][700/3746] lr: 6.326e-02, eta: 2 days, 9:33:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2764, top5_acc: 0.5327, loss_cls: 4.5017, loss: 4.5017 2023-12-26 09:52:33,887 - pyskl - INFO - Epoch [63][800/3746] lr: 6.323e-02, eta: 2 days, 9:31:58, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5400, loss_cls: 4.4232, loss: 4.4232 2023-12-26 09:53:34,651 - pyskl - INFO - Epoch [63][900/3746] lr: 6.320e-02, eta: 2 days, 9:30:51, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2970, top5_acc: 0.5433, loss_cls: 4.4097, loss: 4.4097 2023-12-26 09:54:34,550 - pyskl - INFO - Epoch [63][1000/3746] lr: 6.318e-02, eta: 2 days, 9:29:44, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5292, loss_cls: 4.4679, loss: 4.4679 2023-12-26 09:55:34,504 - pyskl - INFO - Epoch [63][1100/3746] lr: 6.315e-02, eta: 2 days, 9:28:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5395, loss_cls: 4.4202, loss: 4.4202 2023-12-26 09:56:34,392 - pyskl - INFO - Epoch [63][1200/3746] lr: 6.312e-02, eta: 2 days, 9:27:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2877, top5_acc: 0.5403, loss_cls: 4.4192, loss: 4.4192 2023-12-26 09:57:34,202 - pyskl - INFO - Epoch [63][1300/3746] lr: 6.310e-02, eta: 2 days, 9:26:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2881, top5_acc: 0.5372, loss_cls: 4.4284, loss: 4.4284 2023-12-26 09:58:33,852 - pyskl - INFO - Epoch [63][1400/3746] lr: 6.307e-02, eta: 2 days, 9:25:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5375, loss_cls: 4.4276, loss: 4.4276 2023-12-26 09:59:33,682 - pyskl - INFO - Epoch [63][1500/3746] lr: 6.304e-02, eta: 2 days, 9:24:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2802, top5_acc: 0.5422, loss_cls: 4.4611, loss: 4.4611 2023-12-26 10:00:32,980 - pyskl - INFO - Epoch [63][1600/3746] lr: 6.301e-02, eta: 2 days, 9:22:59, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5491, loss_cls: 4.4050, loss: 4.4050 2023-12-26 10:01:32,314 - pyskl - INFO - Epoch [63][1700/3746] lr: 6.299e-02, eta: 2 days, 9:21:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5378, loss_cls: 4.4489, loss: 4.4489 2023-12-26 10:02:31,619 - pyskl - INFO - Epoch [63][1800/3746] lr: 6.296e-02, eta: 2 days, 9:20:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5358, loss_cls: 4.4741, loss: 4.4741 2023-12-26 10:03:31,273 - pyskl - INFO - Epoch [63][1900/3746] lr: 6.293e-02, eta: 2 days, 9:19:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2805, top5_acc: 0.5323, loss_cls: 4.4666, loss: 4.4666 2023-12-26 10:04:31,713 - pyskl - INFO - Epoch [63][2000/3746] lr: 6.291e-02, eta: 2 days, 9:18:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5394, loss_cls: 4.4622, loss: 4.4622 2023-12-26 10:05:32,301 - pyskl - INFO - Epoch [63][2100/3746] lr: 6.288e-02, eta: 2 days, 9:17:22, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5336, loss_cls: 4.4547, loss: 4.4547 2023-12-26 10:06:33,077 - pyskl - INFO - Epoch [63][2200/3746] lr: 6.285e-02, eta: 2 days, 9:16:16, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2786, top5_acc: 0.5242, loss_cls: 4.4791, loss: 4.4791 2023-12-26 10:07:32,750 - pyskl - INFO - Epoch [63][2300/3746] lr: 6.283e-02, eta: 2 days, 9:15:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5352, loss_cls: 4.4479, loss: 4.4479 2023-12-26 10:08:32,478 - pyskl - INFO - Epoch [63][2400/3746] lr: 6.280e-02, eta: 2 days, 9:14:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5430, loss_cls: 4.4166, loss: 4.4166 2023-12-26 10:09:32,229 - pyskl - INFO - Epoch [63][2500/3746] lr: 6.277e-02, eta: 2 days, 9:12:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2722, top5_acc: 0.5253, loss_cls: 4.4763, loss: 4.4763 2023-12-26 10:10:31,752 - pyskl - INFO - Epoch [63][2600/3746] lr: 6.274e-02, eta: 2 days, 9:11:46, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2839, top5_acc: 0.5413, loss_cls: 4.4340, loss: 4.4340 2023-12-26 10:11:31,394 - pyskl - INFO - Epoch [63][2700/3746] lr: 6.272e-02, eta: 2 days, 9:10:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2866, top5_acc: 0.5308, loss_cls: 4.4586, loss: 4.4586 2023-12-26 10:12:31,409 - pyskl - INFO - Epoch [63][2800/3746] lr: 6.269e-02, eta: 2 days, 9:09:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2748, top5_acc: 0.5283, loss_cls: 4.4967, loss: 4.4967 2023-12-26 10:13:31,936 - pyskl - INFO - Epoch [63][2900/3746] lr: 6.266e-02, eta: 2 days, 9:08:25, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5303, loss_cls: 4.4505, loss: 4.4505 2023-12-26 10:14:32,163 - pyskl - INFO - Epoch [63][3000/3746] lr: 6.264e-02, eta: 2 days, 9:07:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5483, loss_cls: 4.4261, loss: 4.4261 2023-12-26 10:15:31,683 - pyskl - INFO - Epoch [63][3100/3746] lr: 6.261e-02, eta: 2 days, 9:06:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2808, top5_acc: 0.5366, loss_cls: 4.4525, loss: 4.4525 2023-12-26 10:16:31,680 - pyskl - INFO - Epoch [63][3200/3746] lr: 6.258e-02, eta: 2 days, 9:05:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5377, loss_cls: 4.4679, loss: 4.4679 2023-12-26 10:17:31,240 - pyskl - INFO - Epoch [63][3300/3746] lr: 6.256e-02, eta: 2 days, 9:03:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5394, loss_cls: 4.4401, loss: 4.4401 2023-12-26 10:18:31,195 - pyskl - INFO - Epoch [63][3400/3746] lr: 6.253e-02, eta: 2 days, 9:02:49, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2795, top5_acc: 0.5319, loss_cls: 4.4781, loss: 4.4781 2023-12-26 10:19:31,656 - pyskl - INFO - Epoch [63][3500/3746] lr: 6.250e-02, eta: 2 days, 9:01:43, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5308, loss_cls: 4.4425, loss: 4.4425 2023-12-26 10:20:31,533 - pyskl - INFO - Epoch [63][3600/3746] lr: 6.247e-02, eta: 2 days, 9:00:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2783, top5_acc: 0.5342, loss_cls: 4.4768, loss: 4.4768 2023-12-26 10:21:31,112 - pyskl - INFO - Epoch [63][3700/3746] lr: 6.245e-02, eta: 2 days, 8:59:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5411, loss_cls: 4.4327, loss: 4.4327 2023-12-26 10:22:01,573 - pyskl - INFO - Saving checkpoint at 63 epochs 2023-12-26 10:24:03,131 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 10:24:04,112 - pyskl - INFO - top1_acc 0.2170 top5_acc 0.4547 2023-12-26 10:24:04,112 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 10:24:04,149 - pyskl - INFO - mean_acc 0.2167 2023-12-26 10:24:04,161 - pyskl - INFO - Epoch(val) [63][309] top1_acc: 0.2170, top5_acc: 0.4547, mean_class_accuracy: 0.2167 2023-12-26 10:27:28,734 - pyskl - INFO - Epoch [64][100/3746] lr: 6.241e-02, eta: 2 days, 9:00:31, time: 2.046, data_time: 1.445, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5527, loss_cls: 4.3406, loss: 4.3406 2023-12-26 10:28:29,632 - pyskl - INFO - Epoch [64][200/3746] lr: 6.238e-02, eta: 2 days, 8:59:25, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5572, loss_cls: 4.3708, loss: 4.3708 2023-12-26 10:29:29,794 - pyskl - INFO - Epoch [64][300/3746] lr: 6.235e-02, eta: 2 days, 8:58:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5389, loss_cls: 4.4183, loss: 4.4183 2023-12-26 10:30:30,022 - pyskl - INFO - Epoch [64][400/3746] lr: 6.233e-02, eta: 2 days, 8:57:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5497, loss_cls: 4.3920, loss: 4.3920 2023-12-26 10:31:30,267 - pyskl - INFO - Epoch [64][500/3746] lr: 6.230e-02, eta: 2 days, 8:56:05, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2811, top5_acc: 0.5345, loss_cls: 4.4489, loss: 4.4489 2023-12-26 10:32:30,230 - pyskl - INFO - Epoch [64][600/3746] lr: 6.227e-02, eta: 2 days, 8:54:58, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5487, loss_cls: 4.3812, loss: 4.3812 2023-12-26 10:33:29,916 - pyskl - INFO - Epoch [64][700/3746] lr: 6.225e-02, eta: 2 days, 8:53:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5456, loss_cls: 4.4231, loss: 4.4231 2023-12-26 10:34:29,903 - pyskl - INFO - Epoch [64][800/3746] lr: 6.222e-02, eta: 2 days, 8:52:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5452, loss_cls: 4.4203, loss: 4.4203 2023-12-26 10:35:30,493 - pyskl - INFO - Epoch [64][900/3746] lr: 6.219e-02, eta: 2 days, 8:51:37, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2872, top5_acc: 0.5423, loss_cls: 4.4248, loss: 4.4248 2023-12-26 10:36:30,406 - pyskl - INFO - Epoch [64][1000/3746] lr: 6.216e-02, eta: 2 days, 8:50:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5536, loss_cls: 4.3584, loss: 4.3584 2023-12-26 10:37:30,300 - pyskl - INFO - Epoch [64][1100/3746] lr: 6.214e-02, eta: 2 days, 8:49:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5312, loss_cls: 4.4641, loss: 4.4641 2023-12-26 10:38:30,617 - pyskl - INFO - Epoch [64][1200/3746] lr: 6.211e-02, eta: 2 days, 8:48:16, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2817, top5_acc: 0.5342, loss_cls: 4.4621, loss: 4.4621 2023-12-26 10:39:30,559 - pyskl - INFO - Epoch [64][1300/3746] lr: 6.208e-02, eta: 2 days, 8:47:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5408, loss_cls: 4.4069, loss: 4.4069 2023-12-26 10:40:30,334 - pyskl - INFO - Epoch [64][1400/3746] lr: 6.206e-02, eta: 2 days, 8:46:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2866, top5_acc: 0.5378, loss_cls: 4.4368, loss: 4.4368 2023-12-26 10:41:30,019 - pyskl - INFO - Epoch [64][1500/3746] lr: 6.203e-02, eta: 2 days, 8:44:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5361, loss_cls: 4.4372, loss: 4.4372 2023-12-26 10:42:29,443 - pyskl - INFO - Epoch [64][1600/3746] lr: 6.200e-02, eta: 2 days, 8:43:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5534, loss_cls: 4.3770, loss: 4.3770 2023-12-26 10:43:29,046 - pyskl - INFO - Epoch [64][1700/3746] lr: 6.197e-02, eta: 2 days, 8:42:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5323, loss_cls: 4.4924, loss: 4.4924 2023-12-26 10:44:28,619 - pyskl - INFO - Epoch [64][1800/3746] lr: 6.195e-02, eta: 2 days, 8:41:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5445, loss_cls: 4.4257, loss: 4.4257 2023-12-26 10:45:28,556 - pyskl - INFO - Epoch [64][1900/3746] lr: 6.192e-02, eta: 2 days, 8:40:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5341, loss_cls: 4.4217, loss: 4.4217 2023-12-26 10:46:29,293 - pyskl - INFO - Epoch [64][2000/3746] lr: 6.189e-02, eta: 2 days, 8:39:18, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5202, loss_cls: 4.4785, loss: 4.4785 2023-12-26 10:47:29,480 - pyskl - INFO - Epoch [64][2100/3746] lr: 6.187e-02, eta: 2 days, 8:38:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2758, top5_acc: 0.5258, loss_cls: 4.4628, loss: 4.4628 2023-12-26 10:48:29,810 - pyskl - INFO - Epoch [64][2200/3746] lr: 6.184e-02, eta: 2 days, 8:37:04, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5430, loss_cls: 4.4105, loss: 4.4105 2023-12-26 10:49:30,025 - pyskl - INFO - Epoch [64][2300/3746] lr: 6.181e-02, eta: 2 days, 8:35:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5316, loss_cls: 4.4785, loss: 4.4785 2023-12-26 10:50:30,573 - pyskl - INFO - Epoch [64][2400/3746] lr: 6.178e-02, eta: 2 days, 8:34:52, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2848, top5_acc: 0.5469, loss_cls: 4.4235, loss: 4.4235 2023-12-26 10:51:30,302 - pyskl - INFO - Epoch [64][2500/3746] lr: 6.176e-02, eta: 2 days, 8:33:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5400, loss_cls: 4.4472, loss: 4.4472 2023-12-26 10:52:29,939 - pyskl - INFO - Epoch [64][2600/3746] lr: 6.173e-02, eta: 2 days, 8:32:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5497, loss_cls: 4.3998, loss: 4.3998 2023-12-26 10:53:29,447 - pyskl - INFO - Epoch [64][2700/3746] lr: 6.170e-02, eta: 2 days, 8:31:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2945, top5_acc: 0.5389, loss_cls: 4.4175, loss: 4.4175 2023-12-26 10:54:28,990 - pyskl - INFO - Epoch [64][2800/3746] lr: 6.168e-02, eta: 2 days, 8:30:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2838, top5_acc: 0.5309, loss_cls: 4.5011, loss: 4.5011 2023-12-26 10:55:28,520 - pyskl - INFO - Epoch [64][2900/3746] lr: 6.165e-02, eta: 2 days, 8:29:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5398, loss_cls: 4.4287, loss: 4.4287 2023-12-26 10:56:28,416 - pyskl - INFO - Epoch [64][3000/3746] lr: 6.162e-02, eta: 2 days, 8:28:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2863, top5_acc: 0.5369, loss_cls: 4.4557, loss: 4.4557 2023-12-26 10:57:28,390 - pyskl - INFO - Epoch [64][3100/3746] lr: 6.159e-02, eta: 2 days, 8:27:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2905, top5_acc: 0.5458, loss_cls: 4.3971, loss: 4.3971 2023-12-26 10:58:28,076 - pyskl - INFO - Epoch [64][3200/3746] lr: 6.157e-02, eta: 2 days, 8:25:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2809, top5_acc: 0.5386, loss_cls: 4.4774, loss: 4.4774 2023-12-26 10:59:27,392 - pyskl - INFO - Epoch [64][3300/3746] lr: 6.154e-02, eta: 2 days, 8:24:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5342, loss_cls: 4.4778, loss: 4.4778 2023-12-26 11:00:27,049 - pyskl - INFO - Epoch [64][3400/3746] lr: 6.151e-02, eta: 2 days, 8:23:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5322, loss_cls: 4.4731, loss: 4.4731 2023-12-26 11:01:26,485 - pyskl - INFO - Epoch [64][3500/3746] lr: 6.148e-02, eta: 2 days, 8:22:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2797, top5_acc: 0.5427, loss_cls: 4.4432, loss: 4.4432 2023-12-26 11:02:25,866 - pyskl - INFO - Epoch [64][3600/3746] lr: 6.146e-02, eta: 2 days, 8:21:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5348, loss_cls: 4.4397, loss: 4.4397 2023-12-26 11:03:25,353 - pyskl - INFO - Epoch [64][3700/3746] lr: 6.143e-02, eta: 2 days, 8:20:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5450, loss_cls: 4.4536, loss: 4.4536 2023-12-26 11:03:54,861 - pyskl - INFO - Saving checkpoint at 64 epochs 2023-12-26 11:05:55,601 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 11:05:56,421 - pyskl - INFO - top1_acc 0.2104 top5_acc 0.4365 2023-12-26 11:05:56,421 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 11:05:56,456 - pyskl - INFO - mean_acc 0.2103 2023-12-26 11:05:56,465 - pyskl - INFO - Epoch(val) [64][309] top1_acc: 0.2104, top5_acc: 0.4365, mean_class_accuracy: 0.2103 2023-12-26 11:09:15,053 - pyskl - INFO - Epoch [65][100/3746] lr: 6.139e-02, eta: 2 days, 8:21:05, time: 1.986, data_time: 1.384, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5591, loss_cls: 4.3742, loss: 4.3742 2023-12-26 11:10:15,889 - pyskl - INFO - Epoch [65][200/3746] lr: 6.136e-02, eta: 2 days, 8:20:00, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5480, loss_cls: 4.3861, loss: 4.3861 2023-12-26 11:11:15,539 - pyskl - INFO - Epoch [65][300/3746] lr: 6.134e-02, eta: 2 days, 8:18:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5503, loss_cls: 4.4052, loss: 4.4052 2023-12-26 11:12:15,482 - pyskl - INFO - Epoch [65][400/3746] lr: 6.131e-02, eta: 2 days, 8:17:45, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3011, top5_acc: 0.5508, loss_cls: 4.3935, loss: 4.3935 2023-12-26 11:13:15,450 - pyskl - INFO - Epoch [65][500/3746] lr: 6.128e-02, eta: 2 days, 8:16:38, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5506, loss_cls: 4.4037, loss: 4.4037 2023-12-26 11:14:15,061 - pyskl - INFO - Epoch [65][600/3746] lr: 6.125e-02, eta: 2 days, 8:15:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2909, top5_acc: 0.5431, loss_cls: 4.3766, loss: 4.3766 2023-12-26 11:15:14,782 - pyskl - INFO - Epoch [65][700/3746] lr: 6.123e-02, eta: 2 days, 8:14:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2787, top5_acc: 0.5422, loss_cls: 4.4223, loss: 4.4223 2023-12-26 11:16:14,687 - pyskl - INFO - Epoch [65][800/3746] lr: 6.120e-02, eta: 2 days, 8:13:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5436, loss_cls: 4.3967, loss: 4.3967 2023-12-26 11:17:15,345 - pyskl - INFO - Epoch [65][900/3746] lr: 6.117e-02, eta: 2 days, 8:12:10, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5372, loss_cls: 4.4540, loss: 4.4540 2023-12-26 11:18:15,597 - pyskl - INFO - Epoch [65][1000/3746] lr: 6.115e-02, eta: 2 days, 8:11:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5453, loss_cls: 4.4272, loss: 4.4272 2023-12-26 11:19:15,394 - pyskl - INFO - Epoch [65][1100/3746] lr: 6.112e-02, eta: 2 days, 8:09:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5333, loss_cls: 4.4380, loss: 4.4380 2023-12-26 11:20:15,702 - pyskl - INFO - Epoch [65][1200/3746] lr: 6.109e-02, eta: 2 days, 8:08:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5441, loss_cls: 4.4304, loss: 4.4304 2023-12-26 11:21:15,817 - pyskl - INFO - Epoch [65][1300/3746] lr: 6.106e-02, eta: 2 days, 8:07:43, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5491, loss_cls: 4.3978, loss: 4.3978 2023-12-26 11:22:15,585 - pyskl - INFO - Epoch [65][1400/3746] lr: 6.104e-02, eta: 2 days, 8:06:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5509, loss_cls: 4.3954, loss: 4.3954 2023-12-26 11:23:15,376 - pyskl - INFO - Epoch [65][1500/3746] lr: 6.101e-02, eta: 2 days, 8:05:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2911, top5_acc: 0.5386, loss_cls: 4.4373, loss: 4.4373 2023-12-26 11:24:15,242 - pyskl - INFO - Epoch [65][1600/3746] lr: 6.098e-02, eta: 2 days, 8:04:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5387, loss_cls: 4.4447, loss: 4.4447 2023-12-26 11:25:14,688 - pyskl - INFO - Epoch [65][1700/3746] lr: 6.095e-02, eta: 2 days, 8:03:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2884, top5_acc: 0.5437, loss_cls: 4.4193, loss: 4.4193 2023-12-26 11:26:14,070 - pyskl - INFO - Epoch [65][1800/3746] lr: 6.093e-02, eta: 2 days, 8:02:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2931, top5_acc: 0.5445, loss_cls: 4.4170, loss: 4.4170 2023-12-26 11:27:13,769 - pyskl - INFO - Epoch [65][1900/3746] lr: 6.090e-02, eta: 2 days, 8:00:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5320, loss_cls: 4.4480, loss: 4.4480 2023-12-26 11:28:14,028 - pyskl - INFO - Epoch [65][2000/3746] lr: 6.087e-02, eta: 2 days, 7:59:52, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5261, loss_cls: 4.4753, loss: 4.4753 2023-12-26 11:29:14,620 - pyskl - INFO - Epoch [65][2100/3746] lr: 6.085e-02, eta: 2 days, 7:58:46, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5359, loss_cls: 4.4654, loss: 4.4654 2023-12-26 11:30:14,528 - pyskl - INFO - Epoch [65][2200/3746] lr: 6.082e-02, eta: 2 days, 7:57:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5348, loss_cls: 4.4240, loss: 4.4240 2023-12-26 11:31:15,347 - pyskl - INFO - Epoch [65][2300/3746] lr: 6.079e-02, eta: 2 days, 7:56:33, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2917, top5_acc: 0.5445, loss_cls: 4.4231, loss: 4.4231 2023-12-26 11:32:14,997 - pyskl - INFO - Epoch [65][2400/3746] lr: 6.076e-02, eta: 2 days, 7:55:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2922, top5_acc: 0.5473, loss_cls: 4.4157, loss: 4.4157 2023-12-26 11:33:14,690 - pyskl - INFO - Epoch [65][2500/3746] lr: 6.074e-02, eta: 2 days, 7:54:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5322, loss_cls: 4.4667, loss: 4.4667 2023-12-26 11:34:14,556 - pyskl - INFO - Epoch [65][2600/3746] lr: 6.071e-02, eta: 2 days, 7:53:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5525, loss_cls: 4.4001, loss: 4.4001 2023-12-26 11:35:14,174 - pyskl - INFO - Epoch [65][2700/3746] lr: 6.068e-02, eta: 2 days, 7:52:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5434, loss_cls: 4.4411, loss: 4.4411 2023-12-26 11:36:14,718 - pyskl - INFO - Epoch [65][2800/3746] lr: 6.065e-02, eta: 2 days, 7:50:58, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2922, top5_acc: 0.5461, loss_cls: 4.3903, loss: 4.3903 2023-12-26 11:37:15,319 - pyskl - INFO - Epoch [65][2900/3746] lr: 6.063e-02, eta: 2 days, 7:49:52, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5414, loss_cls: 4.4182, loss: 4.4182 2023-12-26 11:38:15,413 - pyskl - INFO - Epoch [65][3000/3746] lr: 6.060e-02, eta: 2 days, 7:48:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5545, loss_cls: 4.3772, loss: 4.3772 2023-12-26 11:39:15,195 - pyskl - INFO - Epoch [65][3100/3746] lr: 6.057e-02, eta: 2 days, 7:47:38, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5353, loss_cls: 4.4418, loss: 4.4418 2023-12-26 11:40:14,743 - pyskl - INFO - Epoch [65][3200/3746] lr: 6.055e-02, eta: 2 days, 7:46:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2850, top5_acc: 0.5466, loss_cls: 4.4289, loss: 4.4289 2023-12-26 11:41:14,440 - pyskl - INFO - Epoch [65][3300/3746] lr: 6.052e-02, eta: 2 days, 7:45:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2852, top5_acc: 0.5377, loss_cls: 4.4426, loss: 4.4426 2023-12-26 11:42:14,171 - pyskl - INFO - Epoch [65][3400/3746] lr: 6.049e-02, eta: 2 days, 7:44:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2877, top5_acc: 0.5411, loss_cls: 4.4419, loss: 4.4419 2023-12-26 11:43:13,727 - pyskl - INFO - Epoch [65][3500/3746] lr: 6.046e-02, eta: 2 days, 7:43:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2841, top5_acc: 0.5323, loss_cls: 4.4521, loss: 4.4521 2023-12-26 11:44:13,192 - pyskl - INFO - Epoch [65][3600/3746] lr: 6.044e-02, eta: 2 days, 7:42:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5481, loss_cls: 4.3939, loss: 4.3939 2023-12-26 11:45:12,761 - pyskl - INFO - Epoch [65][3700/3746] lr: 6.041e-02, eta: 2 days, 7:40:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5353, loss_cls: 4.4265, loss: 4.4265 2023-12-26 11:45:42,900 - pyskl - INFO - Saving checkpoint at 65 epochs 2023-12-26 11:47:42,636 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 11:47:43,681 - pyskl - INFO - top1_acc 0.1853 top5_acc 0.4234 2023-12-26 11:47:43,681 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 11:47:43,720 - pyskl - INFO - mean_acc 0.1851 2023-12-26 11:47:43,728 - pyskl - INFO - Epoch(val) [65][309] top1_acc: 0.1853, top5_acc: 0.4234, mean_class_accuracy: 0.1851 2023-12-26 11:51:04,499 - pyskl - INFO - Epoch [66][100/3746] lr: 6.037e-02, eta: 2 days, 7:41:44, time: 2.008, data_time: 1.408, memory: 16177, top1_acc: 0.2884, top5_acc: 0.5434, loss_cls: 4.3936, loss: 4.3936 2023-12-26 11:52:04,822 - pyskl - INFO - Epoch [66][200/3746] lr: 6.034e-02, eta: 2 days, 7:40:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5431, loss_cls: 4.3854, loss: 4.3854 2023-12-26 11:53:04,521 - pyskl - INFO - Epoch [66][300/3746] lr: 6.031e-02, eta: 2 days, 7:39:30, time: 0.597, data_time: 0.001, memory: 16177, top1_acc: 0.2877, top5_acc: 0.5455, loss_cls: 4.4067, loss: 4.4067 2023-12-26 11:54:04,459 - pyskl - INFO - Epoch [66][400/3746] lr: 6.029e-02, eta: 2 days, 7:38:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2883, top5_acc: 0.5408, loss_cls: 4.4132, loss: 4.4132 2023-12-26 11:55:04,100 - pyskl - INFO - Epoch [66][500/3746] lr: 6.026e-02, eta: 2 days, 7:37:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5420, loss_cls: 4.3800, loss: 4.3800 2023-12-26 11:56:03,616 - pyskl - INFO - Epoch [66][600/3746] lr: 6.023e-02, eta: 2 days, 7:36:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2997, top5_acc: 0.5517, loss_cls: 4.3863, loss: 4.3863 2023-12-26 11:57:03,103 - pyskl - INFO - Epoch [66][700/3746] lr: 6.020e-02, eta: 2 days, 7:35:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5459, loss_cls: 4.3954, loss: 4.3954 2023-12-26 11:58:02,671 - pyskl - INFO - Epoch [66][800/3746] lr: 6.018e-02, eta: 2 days, 7:33:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5395, loss_cls: 4.4564, loss: 4.4564 2023-12-26 11:59:02,258 - pyskl - INFO - Epoch [66][900/3746] lr: 6.015e-02, eta: 2 days, 7:32:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2858, top5_acc: 0.5455, loss_cls: 4.4031, loss: 4.4031 2023-12-26 12:00:02,485 - pyskl - INFO - Epoch [66][1000/3746] lr: 6.012e-02, eta: 2 days, 7:31:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5481, loss_cls: 4.3859, loss: 4.3859 2023-12-26 12:01:02,303 - pyskl - INFO - Epoch [66][1100/3746] lr: 6.009e-02, eta: 2 days, 7:30:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3038, top5_acc: 0.5547, loss_cls: 4.3790, loss: 4.3790 2023-12-26 12:02:02,598 - pyskl - INFO - Epoch [66][1200/3746] lr: 6.007e-02, eta: 2 days, 7:29:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2812, top5_acc: 0.5378, loss_cls: 4.4447, loss: 4.4447 2023-12-26 12:03:02,651 - pyskl - INFO - Epoch [66][1300/3746] lr: 6.004e-02, eta: 2 days, 7:28:19, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2978, top5_acc: 0.5497, loss_cls: 4.3808, loss: 4.3808 2023-12-26 12:04:02,599 - pyskl - INFO - Epoch [66][1400/3746] lr: 6.001e-02, eta: 2 days, 7:27:13, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3017, top5_acc: 0.5364, loss_cls: 4.3995, loss: 4.3995 2023-12-26 12:05:02,438 - pyskl - INFO - Epoch [66][1500/3746] lr: 5.999e-02, eta: 2 days, 7:26:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5422, loss_cls: 4.3974, loss: 4.3974 2023-12-26 12:06:02,359 - pyskl - INFO - Epoch [66][1600/3746] lr: 5.996e-02, eta: 2 days, 7:24:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5498, loss_cls: 4.3819, loss: 4.3819 2023-12-26 12:07:01,868 - pyskl - INFO - Epoch [66][1700/3746] lr: 5.993e-02, eta: 2 days, 7:23:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5308, loss_cls: 4.4758, loss: 4.4758 2023-12-26 12:08:01,408 - pyskl - INFO - Epoch [66][1800/3746] lr: 5.990e-02, eta: 2 days, 7:22:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5475, loss_cls: 4.4071, loss: 4.4071 2023-12-26 12:09:01,000 - pyskl - INFO - Epoch [66][1900/3746] lr: 5.988e-02, eta: 2 days, 7:21:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5350, loss_cls: 4.4408, loss: 4.4408 2023-12-26 12:10:00,556 - pyskl - INFO - Epoch [66][2000/3746] lr: 5.985e-02, eta: 2 days, 7:20:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5516, loss_cls: 4.3958, loss: 4.3958 2023-12-26 12:11:00,151 - pyskl - INFO - Epoch [66][2100/3746] lr: 5.982e-02, eta: 2 days, 7:19:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2844, top5_acc: 0.5423, loss_cls: 4.4126, loss: 4.4126 2023-12-26 12:11:59,953 - pyskl - INFO - Epoch [66][2200/3746] lr: 5.979e-02, eta: 2 days, 7:18:15, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2767, top5_acc: 0.5409, loss_cls: 4.4490, loss: 4.4490 2023-12-26 12:12:59,494 - pyskl - INFO - Epoch [66][2300/3746] lr: 5.977e-02, eta: 2 days, 7:17:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5423, loss_cls: 4.4321, loss: 4.4321 2023-12-26 12:13:59,139 - pyskl - INFO - Epoch [66][2400/3746] lr: 5.974e-02, eta: 2 days, 7:16:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5489, loss_cls: 4.3934, loss: 4.3934 2023-12-26 12:14:58,914 - pyskl - INFO - Epoch [66][2500/3746] lr: 5.971e-02, eta: 2 days, 7:14:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5308, loss_cls: 4.4607, loss: 4.4607 2023-12-26 12:15:59,019 - pyskl - INFO - Epoch [66][2600/3746] lr: 5.968e-02, eta: 2 days, 7:13:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2919, top5_acc: 0.5411, loss_cls: 4.4297, loss: 4.4297 2023-12-26 12:16:59,721 - pyskl - INFO - Epoch [66][2700/3746] lr: 5.966e-02, eta: 2 days, 7:12:41, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2894, top5_acc: 0.5312, loss_cls: 4.4445, loss: 4.4445 2023-12-26 12:18:00,045 - pyskl - INFO - Epoch [66][2800/3746] lr: 5.963e-02, eta: 2 days, 7:11:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2875, top5_acc: 0.5417, loss_cls: 4.4483, loss: 4.4483 2023-12-26 12:18:59,678 - pyskl - INFO - Epoch [66][2900/3746] lr: 5.960e-02, eta: 2 days, 7:10:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2928, top5_acc: 0.5413, loss_cls: 4.4123, loss: 4.4123 2023-12-26 12:20:00,558 - pyskl - INFO - Epoch [66][3000/3746] lr: 5.957e-02, eta: 2 days, 7:09:21, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.2836, top5_acc: 0.5402, loss_cls: 4.4387, loss: 4.4387 2023-12-26 12:21:01,606 - pyskl - INFO - Epoch [66][3100/3746] lr: 5.955e-02, eta: 2 days, 7:08:16, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2948, top5_acc: 0.5414, loss_cls: 4.4202, loss: 4.4202 2023-12-26 12:22:01,289 - pyskl - INFO - Epoch [66][3200/3746] lr: 5.952e-02, eta: 2 days, 7:07:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2911, top5_acc: 0.5427, loss_cls: 4.4221, loss: 4.4221 2023-12-26 12:23:00,932 - pyskl - INFO - Epoch [66][3300/3746] lr: 5.949e-02, eta: 2 days, 7:06:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2941, top5_acc: 0.5405, loss_cls: 4.4198, loss: 4.4198 2023-12-26 12:24:01,066 - pyskl - INFO - Epoch [66][3400/3746] lr: 5.946e-02, eta: 2 days, 7:04:55, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5425, loss_cls: 4.4067, loss: 4.4067 2023-12-26 12:25:01,152 - pyskl - INFO - Epoch [66][3500/3746] lr: 5.944e-02, eta: 2 days, 7:03:49, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5555, loss_cls: 4.3897, loss: 4.3897 2023-12-26 12:26:00,791 - pyskl - INFO - Epoch [66][3600/3746] lr: 5.941e-02, eta: 2 days, 7:02:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2847, top5_acc: 0.5355, loss_cls: 4.4434, loss: 4.4434 2023-12-26 12:27:00,387 - pyskl - INFO - Epoch [66][3700/3746] lr: 5.938e-02, eta: 2 days, 7:01:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2798, top5_acc: 0.5384, loss_cls: 4.4379, loss: 4.4379 2023-12-26 12:27:29,929 - pyskl - INFO - Saving checkpoint at 66 epochs 2023-12-26 12:29:30,084 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 12:29:31,152 - pyskl - INFO - top1_acc 0.2273 top5_acc 0.4625 2023-12-26 12:29:31,152 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 12:29:31,195 - pyskl - INFO - mean_acc 0.2270 2023-12-26 12:29:31,204 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_51.pth was removed 2023-12-26 12:29:31,662 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. 2023-12-26 12:29:31,663 - pyskl - INFO - Best top1_acc is 0.2273 at 66 epoch. 2023-12-26 12:29:31,671 - pyskl - INFO - Epoch(val) [66][309] top1_acc: 0.2273, top5_acc: 0.4625, mean_class_accuracy: 0.2270 2023-12-26 12:32:49,488 - pyskl - INFO - Epoch [67][100/3746] lr: 5.934e-02, eta: 2 days, 7:02:17, time: 1.978, data_time: 1.374, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5530, loss_cls: 4.3830, loss: 4.3830 2023-12-26 12:33:50,226 - pyskl - INFO - Epoch [67][200/3746] lr: 5.931e-02, eta: 2 days, 7:01:11, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5452, loss_cls: 4.3853, loss: 4.3853 2023-12-26 12:34:50,198 - pyskl - INFO - Epoch [67][300/3746] lr: 5.929e-02, eta: 2 days, 7:00:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5498, loss_cls: 4.3651, loss: 4.3651 2023-12-26 12:35:49,961 - pyskl - INFO - Epoch [67][400/3746] lr: 5.926e-02, eta: 2 days, 6:58:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2931, top5_acc: 0.5456, loss_cls: 4.3941, loss: 4.3941 2023-12-26 12:36:49,429 - pyskl - INFO - Epoch [67][500/3746] lr: 5.923e-02, eta: 2 days, 6:57:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5367, loss_cls: 4.4392, loss: 4.4392 2023-12-26 12:37:48,975 - pyskl - INFO - Epoch [67][600/3746] lr: 5.920e-02, eta: 2 days, 6:56:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2905, top5_acc: 0.5505, loss_cls: 4.4078, loss: 4.4078 2023-12-26 12:38:48,705 - pyskl - INFO - Epoch [67][700/3746] lr: 5.918e-02, eta: 2 days, 6:55:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5508, loss_cls: 4.3878, loss: 4.3878 2023-12-26 12:39:48,349 - pyskl - INFO - Epoch [67][800/3746] lr: 5.915e-02, eta: 2 days, 6:54:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2953, top5_acc: 0.5441, loss_cls: 4.4054, loss: 4.4054 2023-12-26 12:40:48,139 - pyskl - INFO - Epoch [67][900/3746] lr: 5.912e-02, eta: 2 days, 6:53:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5495, loss_cls: 4.3668, loss: 4.3668 2023-12-26 12:41:48,468 - pyskl - INFO - Epoch [67][1000/3746] lr: 5.909e-02, eta: 2 days, 6:52:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2873, top5_acc: 0.5566, loss_cls: 4.3981, loss: 4.3981 2023-12-26 12:42:49,113 - pyskl - INFO - Epoch [67][1100/3746] lr: 5.907e-02, eta: 2 days, 6:51:09, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5456, loss_cls: 4.3845, loss: 4.3845 2023-12-26 12:43:49,249 - pyskl - INFO - Epoch [67][1200/3746] lr: 5.904e-02, eta: 2 days, 6:50:02, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2931, top5_acc: 0.5470, loss_cls: 4.3824, loss: 4.3824 2023-12-26 12:44:49,382 - pyskl - INFO - Epoch [67][1300/3746] lr: 5.901e-02, eta: 2 days, 6:48:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2992, top5_acc: 0.5502, loss_cls: 4.3791, loss: 4.3791 2023-12-26 12:45:49,252 - pyskl - INFO - Epoch [67][1400/3746] lr: 5.898e-02, eta: 2 days, 6:47:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5483, loss_cls: 4.3981, loss: 4.3981 2023-12-26 12:46:49,110 - pyskl - INFO - Epoch [67][1500/3746] lr: 5.896e-02, eta: 2 days, 6:46:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5547, loss_cls: 4.3828, loss: 4.3828 2023-12-26 12:47:49,082 - pyskl - INFO - Epoch [67][1600/3746] lr: 5.893e-02, eta: 2 days, 6:45:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2911, top5_acc: 0.5420, loss_cls: 4.4203, loss: 4.4203 2023-12-26 12:48:48,612 - pyskl - INFO - Epoch [67][1700/3746] lr: 5.890e-02, eta: 2 days, 6:44:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5464, loss_cls: 4.3947, loss: 4.3947 2023-12-26 12:49:48,347 - pyskl - INFO - Epoch [67][1800/3746] lr: 5.887e-02, eta: 2 days, 6:43:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5355, loss_cls: 4.4680, loss: 4.4680 2023-12-26 12:50:47,916 - pyskl - INFO - Epoch [67][1900/3746] lr: 5.885e-02, eta: 2 days, 6:42:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2983, top5_acc: 0.5494, loss_cls: 4.3763, loss: 4.3763 2023-12-26 12:51:47,521 - pyskl - INFO - Epoch [67][2000/3746] lr: 5.882e-02, eta: 2 days, 6:41:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2897, top5_acc: 0.5431, loss_cls: 4.4103, loss: 4.4103 2023-12-26 12:52:47,489 - pyskl - INFO - Epoch [67][2100/3746] lr: 5.879e-02, eta: 2 days, 6:40:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5452, loss_cls: 4.4434, loss: 4.4434 2023-12-26 12:53:47,156 - pyskl - INFO - Epoch [67][2200/3746] lr: 5.876e-02, eta: 2 days, 6:38:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5416, loss_cls: 4.4204, loss: 4.4204 2023-12-26 12:54:47,190 - pyskl - INFO - Epoch [67][2300/3746] lr: 5.874e-02, eta: 2 days, 6:37:46, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5442, loss_cls: 4.4068, loss: 4.4068 2023-12-26 12:55:46,902 - pyskl - INFO - Epoch [67][2400/3746] lr: 5.871e-02, eta: 2 days, 6:36:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2927, top5_acc: 0.5475, loss_cls: 4.4081, loss: 4.4081 2023-12-26 12:56:46,637 - pyskl - INFO - Epoch [67][2500/3746] lr: 5.868e-02, eta: 2 days, 6:35:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5428, loss_cls: 4.4278, loss: 4.4278 2023-12-26 12:57:46,341 - pyskl - INFO - Epoch [67][2600/3746] lr: 5.865e-02, eta: 2 days, 6:34:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2831, top5_acc: 0.5444, loss_cls: 4.4092, loss: 4.4092 2023-12-26 12:58:46,131 - pyskl - INFO - Epoch [67][2700/3746] lr: 5.863e-02, eta: 2 days, 6:33:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5367, loss_cls: 4.4397, loss: 4.4397 2023-12-26 12:59:46,064 - pyskl - INFO - Epoch [67][2800/3746] lr: 5.860e-02, eta: 2 days, 6:32:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5539, loss_cls: 4.3893, loss: 4.3893 2023-12-26 13:00:46,379 - pyskl - INFO - Epoch [67][2900/3746] lr: 5.857e-02, eta: 2 days, 6:31:05, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5448, loss_cls: 4.4178, loss: 4.4178 2023-12-26 13:01:46,119 - pyskl - INFO - Epoch [67][3000/3746] lr: 5.854e-02, eta: 2 days, 6:29:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5544, loss_cls: 4.3671, loss: 4.3671 2023-12-26 13:02:45,947 - pyskl - INFO - Epoch [67][3100/3746] lr: 5.852e-02, eta: 2 days, 6:28:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2886, top5_acc: 0.5408, loss_cls: 4.4343, loss: 4.4343 2023-12-26 13:03:45,408 - pyskl - INFO - Epoch [67][3200/3746] lr: 5.849e-02, eta: 2 days, 6:27:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2898, top5_acc: 0.5453, loss_cls: 4.3978, loss: 4.3978 2023-12-26 13:04:45,299 - pyskl - INFO - Epoch [67][3300/3746] lr: 5.846e-02, eta: 2 days, 6:26:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2870, top5_acc: 0.5486, loss_cls: 4.4272, loss: 4.4272 2023-12-26 13:05:44,962 - pyskl - INFO - Epoch [67][3400/3746] lr: 5.843e-02, eta: 2 days, 6:25:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2791, top5_acc: 0.5337, loss_cls: 4.4510, loss: 4.4510 2023-12-26 13:06:44,737 - pyskl - INFO - Epoch [67][3500/3746] lr: 5.841e-02, eta: 2 days, 6:24:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2941, top5_acc: 0.5472, loss_cls: 4.3933, loss: 4.3933 2023-12-26 13:07:44,677 - pyskl - INFO - Epoch [67][3600/3746] lr: 5.838e-02, eta: 2 days, 6:23:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2825, top5_acc: 0.5331, loss_cls: 4.4683, loss: 4.4683 2023-12-26 13:08:45,233 - pyskl - INFO - Epoch [67][3700/3746] lr: 5.835e-02, eta: 2 days, 6:22:11, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5522, loss_cls: 4.3837, loss: 4.3837 2023-12-26 13:09:16,273 - pyskl - INFO - Saving checkpoint at 67 epochs 2023-12-26 13:11:16,571 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 13:11:17,399 - pyskl - INFO - top1_acc 0.2075 top5_acc 0.4374 2023-12-26 13:11:17,399 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 13:11:17,433 - pyskl - INFO - mean_acc 0.2074 2023-12-26 13:11:17,441 - pyskl - INFO - Epoch(val) [67][309] top1_acc: 0.2075, top5_acc: 0.4374, mean_class_accuracy: 0.2074 2023-12-26 13:14:37,289 - pyskl - INFO - Epoch [68][100/3746] lr: 5.831e-02, eta: 2 days, 6:22:53, time: 1.998, data_time: 1.398, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5509, loss_cls: 4.3534, loss: 4.3534 2023-12-26 13:15:37,264 - pyskl - INFO - Epoch [68][200/3746] lr: 5.828e-02, eta: 2 days, 6:21:46, time: 0.600, data_time: 0.001, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5514, loss_cls: 4.3774, loss: 4.3774 2023-12-26 13:16:36,976 - pyskl - INFO - Epoch [68][300/3746] lr: 5.826e-02, eta: 2 days, 6:20:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5525, loss_cls: 4.3800, loss: 4.3800 2023-12-26 13:17:36,712 - pyskl - INFO - Epoch [68][400/3746] lr: 5.823e-02, eta: 2 days, 6:19:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5572, loss_cls: 4.3585, loss: 4.3585 2023-12-26 13:18:36,605 - pyskl - INFO - Epoch [68][500/3746] lr: 5.820e-02, eta: 2 days, 6:18:25, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5522, loss_cls: 4.3688, loss: 4.3688 2023-12-26 13:19:36,050 - pyskl - INFO - Epoch [68][600/3746] lr: 5.817e-02, eta: 2 days, 6:17:18, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5505, loss_cls: 4.4013, loss: 4.4013 2023-12-26 13:20:35,545 - pyskl - INFO - Epoch [68][700/3746] lr: 5.815e-02, eta: 2 days, 6:16:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2997, top5_acc: 0.5470, loss_cls: 4.3984, loss: 4.3984 2023-12-26 13:21:34,775 - pyskl - INFO - Epoch [68][800/3746] lr: 5.812e-02, eta: 2 days, 6:15:03, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5373, loss_cls: 4.4481, loss: 4.4481 2023-12-26 13:22:34,340 - pyskl - INFO - Epoch [68][900/3746] lr: 5.809e-02, eta: 2 days, 6:13:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2816, top5_acc: 0.5456, loss_cls: 4.4339, loss: 4.4339 2023-12-26 13:23:34,904 - pyskl - INFO - Epoch [68][1000/3746] lr: 5.806e-02, eta: 2 days, 6:12:50, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2853, top5_acc: 0.5484, loss_cls: 4.4121, loss: 4.4121 2023-12-26 13:24:35,155 - pyskl - INFO - Epoch [68][1100/3746] lr: 5.804e-02, eta: 2 days, 6:11:43, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5470, loss_cls: 4.3659, loss: 4.3659 2023-12-26 13:25:34,866 - pyskl - INFO - Epoch [68][1200/3746] lr: 5.801e-02, eta: 2 days, 6:10:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2830, top5_acc: 0.5364, loss_cls: 4.4190, loss: 4.4190 2023-12-26 13:26:34,733 - pyskl - INFO - Epoch [68][1300/3746] lr: 5.798e-02, eta: 2 days, 6:09:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5402, loss_cls: 4.4198, loss: 4.4198 2023-12-26 13:27:34,686 - pyskl - INFO - Epoch [68][1400/3746] lr: 5.795e-02, eta: 2 days, 6:08:23, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5519, loss_cls: 4.3664, loss: 4.3664 2023-12-26 13:28:34,170 - pyskl - INFO - Epoch [68][1500/3746] lr: 5.792e-02, eta: 2 days, 6:07:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2922, top5_acc: 0.5484, loss_cls: 4.3699, loss: 4.3699 2023-12-26 13:29:33,729 - pyskl - INFO - Epoch [68][1600/3746] lr: 5.790e-02, eta: 2 days, 6:06:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5530, loss_cls: 4.3657, loss: 4.3657 2023-12-26 13:30:33,252 - pyskl - INFO - Epoch [68][1700/3746] lr: 5.787e-02, eta: 2 days, 6:05:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5439, loss_cls: 4.4223, loss: 4.4223 2023-12-26 13:31:32,879 - pyskl - INFO - Epoch [68][1800/3746] lr: 5.784e-02, eta: 2 days, 6:03:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3055, top5_acc: 0.5581, loss_cls: 4.3352, loss: 4.3352 2023-12-26 13:32:32,570 - pyskl - INFO - Epoch [68][1900/3746] lr: 5.781e-02, eta: 2 days, 6:02:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5431, loss_cls: 4.3972, loss: 4.3972 2023-12-26 13:33:32,190 - pyskl - INFO - Epoch [68][2000/3746] lr: 5.779e-02, eta: 2 days, 6:01:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5505, loss_cls: 4.3682, loss: 4.3682 2023-12-26 13:34:31,879 - pyskl - INFO - Epoch [68][2100/3746] lr: 5.776e-02, eta: 2 days, 6:00:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5450, loss_cls: 4.4196, loss: 4.4196 2023-12-26 13:35:31,560 - pyskl - INFO - Epoch [68][2200/3746] lr: 5.773e-02, eta: 2 days, 5:59:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5497, loss_cls: 4.4109, loss: 4.4109 2023-12-26 13:36:31,533 - pyskl - INFO - Epoch [68][2300/3746] lr: 5.770e-02, eta: 2 days, 5:58:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5472, loss_cls: 4.4061, loss: 4.4061 2023-12-26 13:37:31,917 - pyskl - INFO - Epoch [68][2400/3746] lr: 5.768e-02, eta: 2 days, 5:57:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2892, top5_acc: 0.5436, loss_cls: 4.3938, loss: 4.3938 2023-12-26 13:38:31,861 - pyskl - INFO - Epoch [68][2500/3746] lr: 5.765e-02, eta: 2 days, 5:56:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2823, top5_acc: 0.5437, loss_cls: 4.4268, loss: 4.4268 2023-12-26 13:39:31,617 - pyskl - INFO - Epoch [68][2600/3746] lr: 5.762e-02, eta: 2 days, 5:55:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2905, top5_acc: 0.5475, loss_cls: 4.3946, loss: 4.3946 2023-12-26 13:40:31,733 - pyskl - INFO - Epoch [68][2700/3746] lr: 5.759e-02, eta: 2 days, 5:53:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5509, loss_cls: 4.3689, loss: 4.3689 2023-12-26 13:41:31,787 - pyskl - INFO - Epoch [68][2800/3746] lr: 5.757e-02, eta: 2 days, 5:52:47, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2941, top5_acc: 0.5367, loss_cls: 4.4121, loss: 4.4121 2023-12-26 13:42:31,389 - pyskl - INFO - Epoch [68][2900/3746] lr: 5.754e-02, eta: 2 days, 5:51:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2784, top5_acc: 0.5372, loss_cls: 4.4705, loss: 4.4705 2023-12-26 13:43:32,077 - pyskl - INFO - Epoch [68][3000/3746] lr: 5.751e-02, eta: 2 days, 5:50:35, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5503, loss_cls: 4.4257, loss: 4.4257 2023-12-26 13:44:32,826 - pyskl - INFO - Epoch [68][3100/3746] lr: 5.748e-02, eta: 2 days, 5:49:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5503, loss_cls: 4.3881, loss: 4.3881 2023-12-26 13:45:32,861 - pyskl - INFO - Epoch [68][3200/3746] lr: 5.746e-02, eta: 2 days, 5:48:23, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5452, loss_cls: 4.3798, loss: 4.3798 2023-12-26 13:46:32,441 - pyskl - INFO - Epoch [68][3300/3746] lr: 5.743e-02, eta: 2 days, 5:47:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5555, loss_cls: 4.3812, loss: 4.3812 2023-12-26 13:47:32,266 - pyskl - INFO - Epoch [68][3400/3746] lr: 5.740e-02, eta: 2 days, 5:46:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5536, loss_cls: 4.4039, loss: 4.4039 2023-12-26 13:48:33,268 - pyskl - INFO - Epoch [68][3500/3746] lr: 5.737e-02, eta: 2 days, 5:45:03, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2803, top5_acc: 0.5384, loss_cls: 4.4216, loss: 4.4216 2023-12-26 13:49:33,801 - pyskl - INFO - Epoch [68][3600/3746] lr: 5.734e-02, eta: 2 days, 5:43:58, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2933, top5_acc: 0.5416, loss_cls: 4.4059, loss: 4.4059 2023-12-26 13:50:33,778 - pyskl - INFO - Epoch [68][3700/3746] lr: 5.732e-02, eta: 2 days, 5:42:51, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2820, top5_acc: 0.5380, loss_cls: 4.4416, loss: 4.4416 2023-12-26 13:51:03,784 - pyskl - INFO - Saving checkpoint at 68 epochs 2023-12-26 13:53:05,052 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 13:53:06,102 - pyskl - INFO - top1_acc 0.2257 top5_acc 0.4623 2023-12-26 13:53:06,103 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 13:53:06,142 - pyskl - INFO - mean_acc 0.2254 2023-12-26 13:53:06,152 - pyskl - INFO - Epoch(val) [68][309] top1_acc: 0.2257, top5_acc: 0.4623, mean_class_accuracy: 0.2254 2023-12-26 13:56:27,308 - pyskl - INFO - Epoch [69][100/3746] lr: 5.728e-02, eta: 2 days, 5:43:31, time: 2.011, data_time: 1.410, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5536, loss_cls: 4.3527, loss: 4.3527 2023-12-26 13:57:27,656 - pyskl - INFO - Epoch [69][200/3746] lr: 5.725e-02, eta: 2 days, 5:42:25, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5578, loss_cls: 4.3570, loss: 4.3570 2023-12-26 13:58:27,447 - pyskl - INFO - Epoch [69][300/3746] lr: 5.722e-02, eta: 2 days, 5:41:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5523, loss_cls: 4.3612, loss: 4.3612 2023-12-26 13:59:27,597 - pyskl - INFO - Epoch [69][400/3746] lr: 5.719e-02, eta: 2 days, 5:40:11, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5550, loss_cls: 4.3653, loss: 4.3653 2023-12-26 14:00:27,620 - pyskl - INFO - Epoch [69][500/3746] lr: 5.717e-02, eta: 2 days, 5:39:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5489, loss_cls: 4.3701, loss: 4.3701 2023-12-26 14:01:27,231 - pyskl - INFO - Epoch [69][600/3746] lr: 5.714e-02, eta: 2 days, 5:37:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2867, top5_acc: 0.5392, loss_cls: 4.3931, loss: 4.3931 2023-12-26 14:02:26,743 - pyskl - INFO - Epoch [69][700/3746] lr: 5.711e-02, eta: 2 days, 5:36:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5572, loss_cls: 4.3349, loss: 4.3349 2023-12-26 14:03:26,423 - pyskl - INFO - Epoch [69][800/3746] lr: 5.708e-02, eta: 2 days, 5:35:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5448, loss_cls: 4.3685, loss: 4.3685 2023-12-26 14:04:26,645 - pyskl - INFO - Epoch [69][900/3746] lr: 5.706e-02, eta: 2 days, 5:34:38, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2944, top5_acc: 0.5511, loss_cls: 4.3781, loss: 4.3781 2023-12-26 14:05:27,081 - pyskl - INFO - Epoch [69][1000/3746] lr: 5.703e-02, eta: 2 days, 5:33:32, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2897, top5_acc: 0.5459, loss_cls: 4.4242, loss: 4.4242 2023-12-26 14:06:28,168 - pyskl - INFO - Epoch [69][1100/3746] lr: 5.700e-02, eta: 2 days, 5:32:26, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5452, loss_cls: 4.4078, loss: 4.4078 2023-12-26 14:07:28,315 - pyskl - INFO - Epoch [69][1200/3746] lr: 5.697e-02, eta: 2 days, 5:31:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2911, top5_acc: 0.5520, loss_cls: 4.3887, loss: 4.3887 2023-12-26 14:08:28,890 - pyskl - INFO - Epoch [69][1300/3746] lr: 5.694e-02, eta: 2 days, 5:30:14, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5489, loss_cls: 4.3731, loss: 4.3731 2023-12-26 14:09:28,676 - pyskl - INFO - Epoch [69][1400/3746] lr: 5.692e-02, eta: 2 days, 5:29:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5483, loss_cls: 4.3595, loss: 4.3595 2023-12-26 14:10:28,773 - pyskl - INFO - Epoch [69][1500/3746] lr: 5.689e-02, eta: 2 days, 5:28:01, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5420, loss_cls: 4.3961, loss: 4.3961 2023-12-26 14:11:28,450 - pyskl - INFO - Epoch [69][1600/3746] lr: 5.686e-02, eta: 2 days, 5:26:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5434, loss_cls: 4.4120, loss: 4.4120 2023-12-26 14:12:28,577 - pyskl - INFO - Epoch [69][1700/3746] lr: 5.683e-02, eta: 2 days, 5:25:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2859, top5_acc: 0.5442, loss_cls: 4.4185, loss: 4.4185 2023-12-26 14:13:28,487 - pyskl - INFO - Epoch [69][1800/3746] lr: 5.681e-02, eta: 2 days, 5:24:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5478, loss_cls: 4.3920, loss: 4.3920 2023-12-26 14:14:28,264 - pyskl - INFO - Epoch [69][1900/3746] lr: 5.678e-02, eta: 2 days, 5:23:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5459, loss_cls: 4.4323, loss: 4.4323 2023-12-26 14:15:28,049 - pyskl - INFO - Epoch [69][2000/3746] lr: 5.675e-02, eta: 2 days, 5:22:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5503, loss_cls: 4.3739, loss: 4.3739 2023-12-26 14:16:27,727 - pyskl - INFO - Epoch [69][2100/3746] lr: 5.672e-02, eta: 2 days, 5:21:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5444, loss_cls: 4.3979, loss: 4.3979 2023-12-26 14:17:27,356 - pyskl - INFO - Epoch [69][2200/3746] lr: 5.670e-02, eta: 2 days, 5:20:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5356, loss_cls: 4.4483, loss: 4.4483 2023-12-26 14:18:26,874 - pyskl - INFO - Epoch [69][2300/3746] lr: 5.667e-02, eta: 2 days, 5:19:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3008, top5_acc: 0.5541, loss_cls: 4.3769, loss: 4.3769 2023-12-26 14:19:26,411 - pyskl - INFO - Epoch [69][2400/3746] lr: 5.664e-02, eta: 2 days, 5:18:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2895, top5_acc: 0.5386, loss_cls: 4.4226, loss: 4.4226 2023-12-26 14:20:26,243 - pyskl - INFO - Epoch [69][2500/3746] lr: 5.661e-02, eta: 2 days, 5:16:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5530, loss_cls: 4.3807, loss: 4.3807 2023-12-26 14:21:26,125 - pyskl - INFO - Epoch [69][2600/3746] lr: 5.658e-02, eta: 2 days, 5:15:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5447, loss_cls: 4.3821, loss: 4.3821 2023-12-26 14:22:25,893 - pyskl - INFO - Epoch [69][2700/3746] lr: 5.656e-02, eta: 2 days, 5:14:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2900, top5_acc: 0.5453, loss_cls: 4.3966, loss: 4.3966 2023-12-26 14:23:25,650 - pyskl - INFO - Epoch [69][2800/3746] lr: 5.653e-02, eta: 2 days, 5:13:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5484, loss_cls: 4.3887, loss: 4.3887 2023-12-26 14:24:25,320 - pyskl - INFO - Epoch [69][2900/3746] lr: 5.650e-02, eta: 2 days, 5:12:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2925, top5_acc: 0.5513, loss_cls: 4.4088, loss: 4.4088 2023-12-26 14:25:25,846 - pyskl - INFO - Epoch [69][3000/3746] lr: 5.647e-02, eta: 2 days, 5:11:20, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5470, loss_cls: 4.4226, loss: 4.4226 2023-12-26 14:26:25,484 - pyskl - INFO - Epoch [69][3100/3746] lr: 5.645e-02, eta: 2 days, 5:10:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5533, loss_cls: 4.3785, loss: 4.3785 2023-12-26 14:27:25,124 - pyskl - INFO - Epoch [69][3200/3746] lr: 5.642e-02, eta: 2 days, 5:09:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5509, loss_cls: 4.3752, loss: 4.3752 2023-12-26 14:28:25,007 - pyskl - INFO - Epoch [69][3300/3746] lr: 5.639e-02, eta: 2 days, 5:08:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2947, top5_acc: 0.5441, loss_cls: 4.3940, loss: 4.3940 2023-12-26 14:29:24,782 - pyskl - INFO - Epoch [69][3400/3746] lr: 5.636e-02, eta: 2 days, 5:06:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2856, top5_acc: 0.5536, loss_cls: 4.4041, loss: 4.4041 2023-12-26 14:30:24,554 - pyskl - INFO - Epoch [69][3500/3746] lr: 5.634e-02, eta: 2 days, 5:05:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5555, loss_cls: 4.3362, loss: 4.3362 2023-12-26 14:31:24,038 - pyskl - INFO - Epoch [69][3600/3746] lr: 5.631e-02, eta: 2 days, 5:04:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2864, top5_acc: 0.5431, loss_cls: 4.4279, loss: 4.4279 2023-12-26 14:32:23,847 - pyskl - INFO - Epoch [69][3700/3746] lr: 5.628e-02, eta: 2 days, 5:03:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2880, top5_acc: 0.5391, loss_cls: 4.4214, loss: 4.4214 2023-12-26 14:32:53,822 - pyskl - INFO - Saving checkpoint at 69 epochs 2023-12-26 14:34:53,525 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 14:34:54,671 - pyskl - INFO - top1_acc 0.2231 top5_acc 0.4657 2023-12-26 14:34:54,671 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 14:34:54,730 - pyskl - INFO - mean_acc 0.2231 2023-12-26 14:34:54,743 - pyskl - INFO - Epoch(val) [69][309] top1_acc: 0.2231, top5_acc: 0.4657, mean_class_accuracy: 0.2231 2023-12-26 14:38:16,119 - pyskl - INFO - Epoch [70][100/3746] lr: 5.624e-02, eta: 2 days, 5:04:10, time: 2.014, data_time: 1.413, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5513, loss_cls: 4.3541, loss: 4.3541 2023-12-26 14:39:16,428 - pyskl - INFO - Epoch [70][200/3746] lr: 5.621e-02, eta: 2 days, 5:03:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2891, top5_acc: 0.5405, loss_cls: 4.4148, loss: 4.4148 2023-12-26 14:40:16,425 - pyskl - INFO - Epoch [70][300/3746] lr: 5.618e-02, eta: 2 days, 5:01:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3013, top5_acc: 0.5616, loss_cls: 4.3391, loss: 4.3391 2023-12-26 14:41:16,555 - pyskl - INFO - Epoch [70][400/3746] lr: 5.616e-02, eta: 2 days, 5:00:51, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5611, loss_cls: 4.3642, loss: 4.3642 2023-12-26 14:42:16,507 - pyskl - INFO - Epoch [70][500/3746] lr: 5.613e-02, eta: 2 days, 4:59:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2917, top5_acc: 0.5542, loss_cls: 4.3663, loss: 4.3663 2023-12-26 14:43:16,408 - pyskl - INFO - Epoch [70][600/3746] lr: 5.610e-02, eta: 2 days, 4:58:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5542, loss_cls: 4.3671, loss: 4.3671 2023-12-26 14:44:15,939 - pyskl - INFO - Epoch [70][700/3746] lr: 5.607e-02, eta: 2 days, 4:57:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3011, top5_acc: 0.5514, loss_cls: 4.3346, loss: 4.3346 2023-12-26 14:45:15,542 - pyskl - INFO - Epoch [70][800/3746] lr: 5.605e-02, eta: 2 days, 4:56:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2913, top5_acc: 0.5450, loss_cls: 4.3893, loss: 4.3893 2023-12-26 14:46:15,389 - pyskl - INFO - Epoch [70][900/3746] lr: 5.602e-02, eta: 2 days, 4:55:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5502, loss_cls: 4.3733, loss: 4.3733 2023-12-26 14:47:15,454 - pyskl - INFO - Epoch [70][1000/3746] lr: 5.599e-02, eta: 2 days, 4:54:11, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5541, loss_cls: 4.3495, loss: 4.3495 2023-12-26 14:48:16,018 - pyskl - INFO - Epoch [70][1100/3746] lr: 5.596e-02, eta: 2 days, 4:53:05, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5544, loss_cls: 4.3874, loss: 4.3874 2023-12-26 14:49:17,299 - pyskl - INFO - Epoch [70][1200/3746] lr: 5.593e-02, eta: 2 days, 4:52:00, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5623, loss_cls: 4.3457, loss: 4.3457 2023-12-26 14:50:17,478 - pyskl - INFO - Epoch [70][1300/3746] lr: 5.591e-02, eta: 2 days, 4:50:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2966, top5_acc: 0.5491, loss_cls: 4.3735, loss: 4.3735 2023-12-26 14:51:17,859 - pyskl - INFO - Epoch [70][1400/3746] lr: 5.588e-02, eta: 2 days, 4:49:48, time: 0.604, data_time: 0.001, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5608, loss_cls: 4.3195, loss: 4.3195 2023-12-26 14:52:17,486 - pyskl - INFO - Epoch [70][1500/3746] lr: 5.585e-02, eta: 2 days, 4:48:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2972, top5_acc: 0.5513, loss_cls: 4.3861, loss: 4.3861 2023-12-26 14:53:17,099 - pyskl - INFO - Epoch [70][1600/3746] lr: 5.582e-02, eta: 2 days, 4:47:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5447, loss_cls: 4.3989, loss: 4.3989 2023-12-26 14:54:16,779 - pyskl - INFO - Epoch [70][1700/3746] lr: 5.580e-02, eta: 2 days, 4:46:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5533, loss_cls: 4.3517, loss: 4.3517 2023-12-26 14:55:16,579 - pyskl - INFO - Epoch [70][1800/3746] lr: 5.577e-02, eta: 2 days, 4:45:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5387, loss_cls: 4.4342, loss: 4.4342 2023-12-26 14:56:16,504 - pyskl - INFO - Epoch [70][1900/3746] lr: 5.574e-02, eta: 2 days, 4:44:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2986, top5_acc: 0.5500, loss_cls: 4.3761, loss: 4.3761 2023-12-26 14:57:16,217 - pyskl - INFO - Epoch [70][2000/3746] lr: 5.571e-02, eta: 2 days, 4:43:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2834, top5_acc: 0.5361, loss_cls: 4.4435, loss: 4.4435 2023-12-26 14:58:15,926 - pyskl - INFO - Epoch [70][2100/3746] lr: 5.568e-02, eta: 2 days, 4:42:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5578, loss_cls: 4.3633, loss: 4.3633 2023-12-26 14:59:15,322 - pyskl - INFO - Epoch [70][2200/3746] lr: 5.566e-02, eta: 2 days, 4:40:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2922, top5_acc: 0.5387, loss_cls: 4.4012, loss: 4.4012 2023-12-26 15:00:14,847 - pyskl - INFO - Epoch [70][2300/3746] lr: 5.563e-02, eta: 2 days, 4:39:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5494, loss_cls: 4.3782, loss: 4.3782 2023-12-26 15:01:14,300 - pyskl - INFO - Epoch [70][2400/3746] lr: 5.560e-02, eta: 2 days, 4:38:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2917, top5_acc: 0.5494, loss_cls: 4.3805, loss: 4.3805 2023-12-26 15:02:13,727 - pyskl - INFO - Epoch [70][2500/3746] lr: 5.557e-02, eta: 2 days, 4:37:33, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3009, top5_acc: 0.5475, loss_cls: 4.3901, loss: 4.3901 2023-12-26 15:03:13,259 - pyskl - INFO - Epoch [70][2600/3746] lr: 5.555e-02, eta: 2 days, 4:36:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5456, loss_cls: 4.3662, loss: 4.3662 2023-12-26 15:04:12,631 - pyskl - INFO - Epoch [70][2700/3746] lr: 5.552e-02, eta: 2 days, 4:35:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5503, loss_cls: 4.3941, loss: 4.3941 2023-12-26 15:05:12,444 - pyskl - INFO - Epoch [70][2800/3746] lr: 5.549e-02, eta: 2 days, 4:34:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5511, loss_cls: 4.3897, loss: 4.3897 2023-12-26 15:06:11,806 - pyskl - INFO - Epoch [70][2900/3746] lr: 5.546e-02, eta: 2 days, 4:33:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3025, top5_acc: 0.5550, loss_cls: 4.3647, loss: 4.3647 2023-12-26 15:07:11,412 - pyskl - INFO - Epoch [70][3000/3746] lr: 5.543e-02, eta: 2 days, 4:31:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3028, top5_acc: 0.5495, loss_cls: 4.3761, loss: 4.3761 2023-12-26 15:08:11,021 - pyskl - INFO - Epoch [70][3100/3746] lr: 5.541e-02, eta: 2 days, 4:30:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2903, top5_acc: 0.5466, loss_cls: 4.4187, loss: 4.4187 2023-12-26 15:09:10,801 - pyskl - INFO - Epoch [70][3200/3746] lr: 5.538e-02, eta: 2 days, 4:29:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5444, loss_cls: 4.3855, loss: 4.3855 2023-12-26 15:10:10,458 - pyskl - INFO - Epoch [70][3300/3746] lr: 5.535e-02, eta: 2 days, 4:28:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5569, loss_cls: 4.3641, loss: 4.3641 2023-12-26 15:11:10,209 - pyskl - INFO - Epoch [70][3400/3746] lr: 5.532e-02, eta: 2 days, 4:27:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5539, loss_cls: 4.3701, loss: 4.3701 2023-12-26 15:12:09,912 - pyskl - INFO - Epoch [70][3500/3746] lr: 5.530e-02, eta: 2 days, 4:26:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2923, top5_acc: 0.5514, loss_cls: 4.4027, loss: 4.4027 2023-12-26 15:13:09,671 - pyskl - INFO - Epoch [70][3600/3746] lr: 5.527e-02, eta: 2 days, 4:25:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2931, top5_acc: 0.5536, loss_cls: 4.3807, loss: 4.3807 2023-12-26 15:14:09,741 - pyskl - INFO - Epoch [70][3700/3746] lr: 5.524e-02, eta: 2 days, 4:24:12, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2941, top5_acc: 0.5506, loss_cls: 4.3941, loss: 4.3941 2023-12-26 15:14:39,821 - pyskl - INFO - Saving checkpoint at 70 epochs 2023-12-26 15:16:40,552 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 15:16:41,392 - pyskl - INFO - top1_acc 0.2022 top5_acc 0.4233 2023-12-26 15:16:41,392 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 15:16:41,428 - pyskl - INFO - mean_acc 0.2018 2023-12-26 15:16:41,438 - pyskl - INFO - Epoch(val) [70][309] top1_acc: 0.2022, top5_acc: 0.4233, mean_class_accuracy: 0.2018 2023-12-26 15:20:00,620 - pyskl - INFO - Epoch [71][100/3746] lr: 5.520e-02, eta: 2 days, 4:24:43, time: 1.992, data_time: 1.390, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5619, loss_cls: 4.3078, loss: 4.3078 2023-12-26 15:21:00,644 - pyskl - INFO - Epoch [71][200/3746] lr: 5.517e-02, eta: 2 days, 4:23:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3019, top5_acc: 0.5541, loss_cls: 4.3612, loss: 4.3612 2023-12-26 15:22:00,619 - pyskl - INFO - Epoch [71][300/3746] lr: 5.514e-02, eta: 2 days, 4:22:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5466, loss_cls: 4.3723, loss: 4.3723 2023-12-26 15:23:00,373 - pyskl - INFO - Epoch [71][400/3746] lr: 5.512e-02, eta: 2 days, 4:21:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5528, loss_cls: 4.3441, loss: 4.3441 2023-12-26 15:24:00,314 - pyskl - INFO - Epoch [71][500/3746] lr: 5.509e-02, eta: 2 days, 4:20:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5545, loss_cls: 4.3803, loss: 4.3803 2023-12-26 15:24:59,916 - pyskl - INFO - Epoch [71][600/3746] lr: 5.506e-02, eta: 2 days, 4:19:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5520, loss_cls: 4.3593, loss: 4.3593 2023-12-26 15:25:59,494 - pyskl - INFO - Epoch [71][700/3746] lr: 5.503e-02, eta: 2 days, 4:18:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3047, top5_acc: 0.5600, loss_cls: 4.3646, loss: 4.3646 2023-12-26 15:26:59,022 - pyskl - INFO - Epoch [71][800/3746] lr: 5.500e-02, eta: 2 days, 4:16:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5573, loss_cls: 4.3466, loss: 4.3466 2023-12-26 15:27:58,576 - pyskl - INFO - Epoch [71][900/3746] lr: 5.498e-02, eta: 2 days, 4:15:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3047, top5_acc: 0.5525, loss_cls: 4.3533, loss: 4.3533 2023-12-26 15:28:58,045 - pyskl - INFO - Epoch [71][1000/3746] lr: 5.495e-02, eta: 2 days, 4:14:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5563, loss_cls: 4.3557, loss: 4.3557 2023-12-26 15:29:58,256 - pyskl - INFO - Epoch [71][1100/3746] lr: 5.492e-02, eta: 2 days, 4:13:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5470, loss_cls: 4.3921, loss: 4.3921 2023-12-26 15:30:58,828 - pyskl - INFO - Epoch [71][1200/3746] lr: 5.489e-02, eta: 2 days, 4:12:30, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5628, loss_cls: 4.3208, loss: 4.3208 2023-12-26 15:31:59,016 - pyskl - INFO - Epoch [71][1300/3746] lr: 5.487e-02, eta: 2 days, 4:11:24, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5519, loss_cls: 4.3575, loss: 4.3575 2023-12-26 15:32:59,501 - pyskl - INFO - Epoch [71][1400/3746] lr: 5.484e-02, eta: 2 days, 4:10:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5553, loss_cls: 4.3498, loss: 4.3498 2023-12-26 15:33:59,695 - pyskl - INFO - Epoch [71][1500/3746] lr: 5.481e-02, eta: 2 days, 4:09:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5427, loss_cls: 4.3989, loss: 4.3989 2023-12-26 15:34:59,280 - pyskl - INFO - Epoch [71][1600/3746] lr: 5.478e-02, eta: 2 days, 4:08:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5542, loss_cls: 4.3362, loss: 4.3362 2023-12-26 15:35:59,369 - pyskl - INFO - Epoch [71][1700/3746] lr: 5.475e-02, eta: 2 days, 4:06:59, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.2939, top5_acc: 0.5469, loss_cls: 4.3972, loss: 4.3972 2023-12-26 15:36:59,041 - pyskl - INFO - Epoch [71][1800/3746] lr: 5.473e-02, eta: 2 days, 4:05:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5423, loss_cls: 4.4239, loss: 4.4239 2023-12-26 15:37:58,650 - pyskl - INFO - Epoch [71][1900/3746] lr: 5.470e-02, eta: 2 days, 4:04:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5483, loss_cls: 4.3892, loss: 4.3892 2023-12-26 15:38:58,401 - pyskl - INFO - Epoch [71][2000/3746] lr: 5.467e-02, eta: 2 days, 4:03:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2930, top5_acc: 0.5542, loss_cls: 4.3851, loss: 4.3851 2023-12-26 15:39:58,097 - pyskl - INFO - Epoch [71][2100/3746] lr: 5.464e-02, eta: 2 days, 4:02:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2869, top5_acc: 0.5530, loss_cls: 4.4059, loss: 4.4059 2023-12-26 15:40:57,723 - pyskl - INFO - Epoch [71][2200/3746] lr: 5.461e-02, eta: 2 days, 4:01:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5530, loss_cls: 4.3782, loss: 4.3782 2023-12-26 15:41:57,158 - pyskl - INFO - Epoch [71][2300/3746] lr: 5.459e-02, eta: 2 days, 4:00:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5567, loss_cls: 4.3782, loss: 4.3782 2023-12-26 15:42:56,804 - pyskl - INFO - Epoch [71][2400/3746] lr: 5.456e-02, eta: 2 days, 3:59:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5611, loss_cls: 4.3183, loss: 4.3183 2023-12-26 15:43:56,551 - pyskl - INFO - Epoch [71][2500/3746] lr: 5.453e-02, eta: 2 days, 3:58:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5458, loss_cls: 4.3852, loss: 4.3852 2023-12-26 15:44:56,094 - pyskl - INFO - Epoch [71][2600/3746] lr: 5.450e-02, eta: 2 days, 3:56:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5608, loss_cls: 4.3387, loss: 4.3387 2023-12-26 15:45:55,883 - pyskl - INFO - Epoch [71][2700/3746] lr: 5.448e-02, eta: 2 days, 3:55:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5453, loss_cls: 4.3880, loss: 4.3880 2023-12-26 15:46:55,554 - pyskl - INFO - Epoch [71][2800/3746] lr: 5.445e-02, eta: 2 days, 3:54:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5566, loss_cls: 4.3545, loss: 4.3545 2023-12-26 15:47:55,083 - pyskl - INFO - Epoch [71][2900/3746] lr: 5.442e-02, eta: 2 days, 3:53:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5527, loss_cls: 4.3894, loss: 4.3894 2023-12-26 15:48:54,689 - pyskl - INFO - Epoch [71][3000/3746] lr: 5.439e-02, eta: 2 days, 3:52:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5473, loss_cls: 4.4123, loss: 4.4123 2023-12-26 15:49:54,468 - pyskl - INFO - Epoch [71][3100/3746] lr: 5.436e-02, eta: 2 days, 3:51:26, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3025, top5_acc: 0.5509, loss_cls: 4.3725, loss: 4.3725 2023-12-26 15:50:54,047 - pyskl - INFO - Epoch [71][3200/3746] lr: 5.434e-02, eta: 2 days, 3:50:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5506, loss_cls: 4.3578, loss: 4.3578 2023-12-26 15:51:53,710 - pyskl - INFO - Epoch [71][3300/3746] lr: 5.431e-02, eta: 2 days, 3:49:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5542, loss_cls: 4.3775, loss: 4.3775 2023-12-26 15:52:53,324 - pyskl - INFO - Epoch [71][3400/3746] lr: 5.428e-02, eta: 2 days, 3:48:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5530, loss_cls: 4.3457, loss: 4.3457 2023-12-26 15:53:52,844 - pyskl - INFO - Epoch [71][3500/3746] lr: 5.425e-02, eta: 2 days, 3:46:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5505, loss_cls: 4.3749, loss: 4.3749 2023-12-26 15:54:53,631 - pyskl - INFO - Epoch [71][3600/3746] lr: 5.422e-02, eta: 2 days, 3:45:54, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.2889, top5_acc: 0.5467, loss_cls: 4.4122, loss: 4.4122 2023-12-26 15:55:53,401 - pyskl - INFO - Epoch [71][3700/3746] lr: 5.420e-02, eta: 2 days, 3:44:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5555, loss_cls: 4.3881, loss: 4.3881 2023-12-26 15:56:23,177 - pyskl - INFO - Saving checkpoint at 71 epochs 2023-12-26 15:58:23,810 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 15:58:24,612 - pyskl - INFO - top1_acc 0.2317 top5_acc 0.4671 2023-12-26 15:58:24,612 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 15:58:24,657 - pyskl - INFO - mean_acc 0.2316 2023-12-26 15:58:24,664 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_66.pth was removed 2023-12-26 15:58:25,004 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_71.pth. 2023-12-26 15:58:25,005 - pyskl - INFO - Best top1_acc is 0.2317 at 71 epoch. 2023-12-26 15:58:25,013 - pyskl - INFO - Epoch(val) [71][309] top1_acc: 0.2317, top5_acc: 0.4671, mean_class_accuracy: 0.2316 2023-12-26 16:01:44,697 - pyskl - INFO - Epoch [72][100/3746] lr: 5.416e-02, eta: 2 days, 3:45:16, time: 1.997, data_time: 1.393, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5519, loss_cls: 4.3380, loss: 4.3380 2023-12-26 16:02:44,638 - pyskl - INFO - Epoch [72][200/3746] lr: 5.413e-02, eta: 2 days, 3:44:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2981, top5_acc: 0.5620, loss_cls: 4.3098, loss: 4.3098 2023-12-26 16:03:44,341 - pyskl - INFO - Epoch [72][300/3746] lr: 5.410e-02, eta: 2 days, 3:43:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5500, loss_cls: 4.3598, loss: 4.3598 2023-12-26 16:04:44,099 - pyskl - INFO - Epoch [72][400/3746] lr: 5.407e-02, eta: 2 days, 3:41:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2963, top5_acc: 0.5575, loss_cls: 4.3584, loss: 4.3584 2023-12-26 16:05:43,717 - pyskl - INFO - Epoch [72][500/3746] lr: 5.404e-02, eta: 2 days, 3:40:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3114, top5_acc: 0.5598, loss_cls: 4.3018, loss: 4.3018 2023-12-26 16:06:43,550 - pyskl - INFO - Epoch [72][600/3746] lr: 5.402e-02, eta: 2 days, 3:39:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5636, loss_cls: 4.3513, loss: 4.3513 2023-12-26 16:07:43,304 - pyskl - INFO - Epoch [72][700/3746] lr: 5.399e-02, eta: 2 days, 3:38:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2963, top5_acc: 0.5577, loss_cls: 4.3638, loss: 4.3638 2023-12-26 16:08:42,914 - pyskl - INFO - Epoch [72][800/3746] lr: 5.396e-02, eta: 2 days, 3:37:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5466, loss_cls: 4.3576, loss: 4.3576 2023-12-26 16:09:42,243 - pyskl - INFO - Epoch [72][900/3746] lr: 5.393e-02, eta: 2 days, 3:36:23, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5552, loss_cls: 4.3692, loss: 4.3692 2023-12-26 16:10:41,913 - pyskl - INFO - Epoch [72][1000/3746] lr: 5.391e-02, eta: 2 days, 3:35:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5637, loss_cls: 4.3319, loss: 4.3319 2023-12-26 16:11:41,527 - pyskl - INFO - Epoch [72][1100/3746] lr: 5.388e-02, eta: 2 days, 3:34:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2905, top5_acc: 0.5448, loss_cls: 4.3945, loss: 4.3945 2023-12-26 16:12:42,017 - pyskl - INFO - Epoch [72][1200/3746] lr: 5.385e-02, eta: 2 days, 3:33:04, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3009, top5_acc: 0.5508, loss_cls: 4.3790, loss: 4.3790 2023-12-26 16:13:41,973 - pyskl - INFO - Epoch [72][1300/3746] lr: 5.382e-02, eta: 2 days, 3:31:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3025, top5_acc: 0.5644, loss_cls: 4.3256, loss: 4.3256 2023-12-26 16:14:42,208 - pyskl - INFO - Epoch [72][1400/3746] lr: 5.379e-02, eta: 2 days, 3:30:51, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.2970, top5_acc: 0.5505, loss_cls: 4.3876, loss: 4.3876 2023-12-26 16:15:42,279 - pyskl - INFO - Epoch [72][1500/3746] lr: 5.377e-02, eta: 2 days, 3:29:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5494, loss_cls: 4.3585, loss: 4.3585 2023-12-26 16:16:41,728 - pyskl - INFO - Epoch [72][1600/3746] lr: 5.374e-02, eta: 2 days, 3:28:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5502, loss_cls: 4.3557, loss: 4.3557 2023-12-26 16:17:41,426 - pyskl - INFO - Epoch [72][1700/3746] lr: 5.371e-02, eta: 2 days, 3:27:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5561, loss_cls: 4.3664, loss: 4.3664 2023-12-26 16:18:40,859 - pyskl - INFO - Epoch [72][1800/3746] lr: 5.368e-02, eta: 2 days, 3:26:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5644, loss_cls: 4.3161, loss: 4.3161 2023-12-26 16:19:40,510 - pyskl - INFO - Epoch [72][1900/3746] lr: 5.365e-02, eta: 2 days, 3:25:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2934, top5_acc: 0.5533, loss_cls: 4.3860, loss: 4.3860 2023-12-26 16:20:40,070 - pyskl - INFO - Epoch [72][2000/3746] lr: 5.363e-02, eta: 2 days, 3:24:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3017, top5_acc: 0.5542, loss_cls: 4.3731, loss: 4.3731 2023-12-26 16:21:39,906 - pyskl - INFO - Epoch [72][2100/3746] lr: 5.360e-02, eta: 2 days, 3:23:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5542, loss_cls: 4.3608, loss: 4.3608 2023-12-26 16:22:39,313 - pyskl - INFO - Epoch [72][2200/3746] lr: 5.357e-02, eta: 2 days, 3:21:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2978, top5_acc: 0.5542, loss_cls: 4.3591, loss: 4.3591 2023-12-26 16:23:38,829 - pyskl - INFO - Epoch [72][2300/3746] lr: 5.354e-02, eta: 2 days, 3:20:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2908, top5_acc: 0.5511, loss_cls: 4.3735, loss: 4.3735 2023-12-26 16:24:38,611 - pyskl - INFO - Epoch [72][2400/3746] lr: 5.352e-02, eta: 2 days, 3:19:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2972, top5_acc: 0.5639, loss_cls: 4.3476, loss: 4.3476 2023-12-26 16:25:38,195 - pyskl - INFO - Epoch [72][2500/3746] lr: 5.349e-02, eta: 2 days, 3:18:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3089, top5_acc: 0.5519, loss_cls: 4.3519, loss: 4.3519 2023-12-26 16:26:37,683 - pyskl - INFO - Epoch [72][2600/3746] lr: 5.346e-02, eta: 2 days, 3:17:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5509, loss_cls: 4.3697, loss: 4.3697 2023-12-26 16:27:37,207 - pyskl - INFO - Epoch [72][2700/3746] lr: 5.343e-02, eta: 2 days, 3:16:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3016, top5_acc: 0.5542, loss_cls: 4.3357, loss: 4.3357 2023-12-26 16:28:36,794 - pyskl - INFO - Epoch [72][2800/3746] lr: 5.340e-02, eta: 2 days, 3:15:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5545, loss_cls: 4.3668, loss: 4.3668 2023-12-26 16:29:36,414 - pyskl - INFO - Epoch [72][2900/3746] lr: 5.338e-02, eta: 2 days, 3:14:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5425, loss_cls: 4.4125, loss: 4.4125 2023-12-26 16:30:35,828 - pyskl - INFO - Epoch [72][3000/3746] lr: 5.335e-02, eta: 2 days, 3:13:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3019, top5_acc: 0.5630, loss_cls: 4.3496, loss: 4.3496 2023-12-26 16:31:35,407 - pyskl - INFO - Epoch [72][3100/3746] lr: 5.332e-02, eta: 2 days, 3:11:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5581, loss_cls: 4.3517, loss: 4.3517 2023-12-26 16:32:34,992 - pyskl - INFO - Epoch [72][3200/3746] lr: 5.329e-02, eta: 2 days, 3:10:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5537, loss_cls: 4.3540, loss: 4.3540 2023-12-26 16:33:35,160 - pyskl - INFO - Epoch [72][3300/3746] lr: 5.326e-02, eta: 2 days, 3:09:46, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5517, loss_cls: 4.3695, loss: 4.3695 2023-12-26 16:34:34,563 - pyskl - INFO - Epoch [72][3400/3746] lr: 5.324e-02, eta: 2 days, 3:08:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2941, top5_acc: 0.5481, loss_cls: 4.3836, loss: 4.3836 2023-12-26 16:35:34,179 - pyskl - INFO - Epoch [72][3500/3746] lr: 5.321e-02, eta: 2 days, 3:07:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5487, loss_cls: 4.3390, loss: 4.3390 2023-12-26 16:36:33,772 - pyskl - INFO - Epoch [72][3600/3746] lr: 5.318e-02, eta: 2 days, 3:06:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3028, top5_acc: 0.5578, loss_cls: 4.3370, loss: 4.3370 2023-12-26 16:37:32,932 - pyskl - INFO - Epoch [72][3700/3746] lr: 5.315e-02, eta: 2 days, 3:05:19, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3005, top5_acc: 0.5405, loss_cls: 4.3935, loss: 4.3935 2023-12-26 16:38:02,401 - pyskl - INFO - Saving checkpoint at 72 epochs 2023-12-26 16:40:04,457 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 16:40:05,243 - pyskl - INFO - top1_acc 0.2330 top5_acc 0.4777 2023-12-26 16:40:05,243 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 16:40:05,277 - pyskl - INFO - mean_acc 0.2328 2023-12-26 16:40:05,283 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_71.pth was removed 2023-12-26 16:40:05,555 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_72.pth. 2023-12-26 16:40:05,555 - pyskl - INFO - Best top1_acc is 0.2330 at 72 epoch. 2023-12-26 16:40:05,564 - pyskl - INFO - Epoch(val) [72][309] top1_acc: 0.2330, top5_acc: 0.4777, mean_class_accuracy: 0.2328 2023-12-26 16:43:24,807 - pyskl - INFO - Epoch [73][100/3746] lr: 5.311e-02, eta: 2 days, 3:05:44, time: 1.992, data_time: 1.396, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5608, loss_cls: 4.3206, loss: 4.3206 2023-12-26 16:44:24,662 - pyskl - INFO - Epoch [73][200/3746] lr: 5.308e-02, eta: 2 days, 3:04:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5605, loss_cls: 4.3510, loss: 4.3510 2023-12-26 16:45:24,918 - pyskl - INFO - Epoch [73][300/3746] lr: 5.306e-02, eta: 2 days, 3:03:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5544, loss_cls: 4.3494, loss: 4.3494 2023-12-26 16:46:24,781 - pyskl - INFO - Epoch [73][400/3746] lr: 5.303e-02, eta: 2 days, 3:02:25, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5539, loss_cls: 4.3514, loss: 4.3514 2023-12-26 16:47:24,475 - pyskl - INFO - Epoch [73][500/3746] lr: 5.300e-02, eta: 2 days, 3:01:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5577, loss_cls: 4.3371, loss: 4.3371 2023-12-26 16:48:24,512 - pyskl - INFO - Epoch [73][600/3746] lr: 5.297e-02, eta: 2 days, 3:00:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5594, loss_cls: 4.3325, loss: 4.3325 2023-12-26 16:49:23,993 - pyskl - INFO - Epoch [73][700/3746] lr: 5.294e-02, eta: 2 days, 2:59:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2992, top5_acc: 0.5487, loss_cls: 4.3469, loss: 4.3469 2023-12-26 16:50:23,801 - pyskl - INFO - Epoch [73][800/3746] lr: 5.292e-02, eta: 2 days, 2:57:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3019, top5_acc: 0.5572, loss_cls: 4.3360, loss: 4.3360 2023-12-26 16:51:23,445 - pyskl - INFO - Epoch [73][900/3746] lr: 5.289e-02, eta: 2 days, 2:56:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5605, loss_cls: 4.3531, loss: 4.3531 2023-12-26 16:52:23,156 - pyskl - INFO - Epoch [73][1000/3746] lr: 5.286e-02, eta: 2 days, 2:55:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5581, loss_cls: 4.3372, loss: 4.3372 2023-12-26 16:53:22,920 - pyskl - INFO - Epoch [73][1100/3746] lr: 5.283e-02, eta: 2 days, 2:54:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5519, loss_cls: 4.3691, loss: 4.3691 2023-12-26 16:54:23,348 - pyskl - INFO - Epoch [73][1200/3746] lr: 5.280e-02, eta: 2 days, 2:53:34, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5534, loss_cls: 4.3546, loss: 4.3546 2023-12-26 16:55:23,499 - pyskl - INFO - Epoch [73][1300/3746] lr: 5.278e-02, eta: 2 days, 2:52:28, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3025, top5_acc: 0.5580, loss_cls: 4.3340, loss: 4.3340 2023-12-26 16:56:23,599 - pyskl - INFO - Epoch [73][1400/3746] lr: 5.275e-02, eta: 2 days, 2:51:22, time: 0.601, data_time: 0.001, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5553, loss_cls: 4.3420, loss: 4.3420 2023-12-26 16:57:23,253 - pyskl - INFO - Epoch [73][1500/3746] lr: 5.272e-02, eta: 2 days, 2:50:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3114, top5_acc: 0.5570, loss_cls: 4.3218, loss: 4.3218 2023-12-26 16:58:23,351 - pyskl - INFO - Epoch [73][1600/3746] lr: 5.269e-02, eta: 2 days, 2:49:09, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5606, loss_cls: 4.3233, loss: 4.3233 2023-12-26 16:59:23,294 - pyskl - INFO - Epoch [73][1700/3746] lr: 5.267e-02, eta: 2 days, 2:48:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2902, top5_acc: 0.5433, loss_cls: 4.4181, loss: 4.4181 2023-12-26 17:00:22,657 - pyskl - INFO - Epoch [73][1800/3746] lr: 5.264e-02, eta: 2 days, 2:46:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3105, top5_acc: 0.5605, loss_cls: 4.3262, loss: 4.3262 2023-12-26 17:01:22,588 - pyskl - INFO - Epoch [73][1900/3746] lr: 5.261e-02, eta: 2 days, 2:45:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2878, top5_acc: 0.5503, loss_cls: 4.3798, loss: 4.3798 2023-12-26 17:02:22,252 - pyskl - INFO - Epoch [73][2000/3746] lr: 5.258e-02, eta: 2 days, 2:44:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5563, loss_cls: 4.3255, loss: 4.3255 2023-12-26 17:03:22,045 - pyskl - INFO - Epoch [73][2100/3746] lr: 5.255e-02, eta: 2 days, 2:43:38, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5552, loss_cls: 4.3413, loss: 4.3413 2023-12-26 17:04:21,722 - pyskl - INFO - Epoch [73][2200/3746] lr: 5.253e-02, eta: 2 days, 2:42:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2995, top5_acc: 0.5514, loss_cls: 4.3410, loss: 4.3410 2023-12-26 17:05:21,282 - pyskl - INFO - Epoch [73][2300/3746] lr: 5.250e-02, eta: 2 days, 2:41:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2920, top5_acc: 0.5442, loss_cls: 4.3939, loss: 4.3939 2023-12-26 17:06:21,129 - pyskl - INFO - Epoch [73][2400/3746] lr: 5.247e-02, eta: 2 days, 2:40:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5625, loss_cls: 4.3396, loss: 4.3396 2023-12-26 17:07:20,685 - pyskl - INFO - Epoch [73][2500/3746] lr: 5.244e-02, eta: 2 days, 2:39:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3025, top5_acc: 0.5580, loss_cls: 4.3651, loss: 4.3651 2023-12-26 17:08:20,325 - pyskl - INFO - Epoch [73][2600/3746] lr: 5.241e-02, eta: 2 days, 2:38:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5680, loss_cls: 4.3148, loss: 4.3148 2023-12-26 17:09:19,939 - pyskl - INFO - Epoch [73][2700/3746] lr: 5.239e-02, eta: 2 days, 2:36:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2961, top5_acc: 0.5472, loss_cls: 4.3847, loss: 4.3847 2023-12-26 17:10:19,469 - pyskl - INFO - Epoch [73][2800/3746] lr: 5.236e-02, eta: 2 days, 2:35:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2983, top5_acc: 0.5587, loss_cls: 4.3762, loss: 4.3762 2023-12-26 17:11:19,169 - pyskl - INFO - Epoch [73][2900/3746] lr: 5.233e-02, eta: 2 days, 2:34:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3039, top5_acc: 0.5498, loss_cls: 4.3713, loss: 4.3713 2023-12-26 17:12:19,123 - pyskl - INFO - Epoch [73][3000/3746] lr: 5.230e-02, eta: 2 days, 2:33:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2980, top5_acc: 0.5559, loss_cls: 4.3510, loss: 4.3510 2023-12-26 17:13:18,737 - pyskl - INFO - Epoch [73][3100/3746] lr: 5.227e-02, eta: 2 days, 2:32:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5584, loss_cls: 4.3447, loss: 4.3447 2023-12-26 17:14:18,329 - pyskl - INFO - Epoch [73][3200/3746] lr: 5.225e-02, eta: 2 days, 2:31:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2942, top5_acc: 0.5481, loss_cls: 4.4005, loss: 4.4005 2023-12-26 17:15:18,174 - pyskl - INFO - Epoch [73][3300/3746] lr: 5.222e-02, eta: 2 days, 2:30:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3025, top5_acc: 0.5533, loss_cls: 4.3413, loss: 4.3413 2023-12-26 17:16:17,763 - pyskl - INFO - Epoch [73][3400/3746] lr: 5.219e-02, eta: 2 days, 2:29:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5578, loss_cls: 4.3745, loss: 4.3745 2023-12-26 17:17:17,394 - pyskl - INFO - Epoch [73][3500/3746] lr: 5.216e-02, eta: 2 days, 2:28:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5516, loss_cls: 4.3778, loss: 4.3778 2023-12-26 17:18:17,722 - pyskl - INFO - Epoch [73][3600/3746] lr: 5.213e-02, eta: 2 days, 2:27:02, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5519, loss_cls: 4.3421, loss: 4.3421 2023-12-26 17:19:18,223 - pyskl - INFO - Epoch [73][3700/3746] lr: 5.211e-02, eta: 2 days, 2:25:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5594, loss_cls: 4.3151, loss: 4.3151 2023-12-26 17:19:48,442 - pyskl - INFO - Saving checkpoint at 73 epochs 2023-12-26 17:21:49,340 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 17:21:50,125 - pyskl - INFO - top1_acc 0.2396 top5_acc 0.4888 2023-12-26 17:21:50,125 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 17:21:50,158 - pyskl - INFO - mean_acc 0.2396 2023-12-26 17:21:50,164 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_72.pth was removed 2023-12-26 17:21:50,415 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_73.pth. 2023-12-26 17:21:50,416 - pyskl - INFO - Best top1_acc is 0.2396 at 73 epoch. 2023-12-26 17:21:50,426 - pyskl - INFO - Epoch(val) [73][309] top1_acc: 0.2396, top5_acc: 0.4888, mean_class_accuracy: 0.2396 2023-12-26 17:25:09,522 - pyskl - INFO - Epoch [74][100/3746] lr: 5.207e-02, eta: 2 days, 2:26:17, time: 1.991, data_time: 1.390, memory: 16177, top1_acc: 0.3236, top5_acc: 0.5761, loss_cls: 4.2444, loss: 4.2444 2023-12-26 17:26:10,221 - pyskl - INFO - Epoch [74][200/3746] lr: 5.204e-02, eta: 2 days, 2:25:12, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3166, top5_acc: 0.5745, loss_cls: 4.2825, loss: 4.2825 2023-12-26 17:27:09,941 - pyskl - INFO - Epoch [74][300/3746] lr: 5.201e-02, eta: 2 days, 2:24:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5636, loss_cls: 4.3436, loss: 4.3436 2023-12-26 17:28:09,860 - pyskl - INFO - Epoch [74][400/3746] lr: 5.198e-02, eta: 2 days, 2:23:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5578, loss_cls: 4.3276, loss: 4.3276 2023-12-26 17:29:09,502 - pyskl - INFO - Epoch [74][500/3746] lr: 5.195e-02, eta: 2 days, 2:21:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3052, top5_acc: 0.5600, loss_cls: 4.3215, loss: 4.3215 2023-12-26 17:30:09,307 - pyskl - INFO - Epoch [74][600/3746] lr: 5.193e-02, eta: 2 days, 2:20:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5750, loss_cls: 4.2793, loss: 4.2793 2023-12-26 17:31:08,510 - pyskl - INFO - Epoch [74][700/3746] lr: 5.190e-02, eta: 2 days, 2:19:40, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3105, top5_acc: 0.5561, loss_cls: 4.3352, loss: 4.3352 2023-12-26 17:32:08,778 - pyskl - INFO - Epoch [74][800/3746] lr: 5.187e-02, eta: 2 days, 2:18:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5620, loss_cls: 4.3195, loss: 4.3195 2023-12-26 17:33:08,598 - pyskl - INFO - Epoch [74][900/3746] lr: 5.184e-02, eta: 2 days, 2:17:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2989, top5_acc: 0.5564, loss_cls: 4.3503, loss: 4.3503 2023-12-26 17:34:08,415 - pyskl - INFO - Epoch [74][1000/3746] lr: 5.181e-02, eta: 2 days, 2:16:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3027, top5_acc: 0.5577, loss_cls: 4.3399, loss: 4.3399 2023-12-26 17:35:08,291 - pyskl - INFO - Epoch [74][1100/3746] lr: 5.179e-02, eta: 2 days, 2:15:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5587, loss_cls: 4.3534, loss: 4.3534 2023-12-26 17:36:08,833 - pyskl - INFO - Epoch [74][1200/3746] lr: 5.176e-02, eta: 2 days, 2:14:10, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2958, top5_acc: 0.5577, loss_cls: 4.3289, loss: 4.3289 2023-12-26 17:37:09,336 - pyskl - INFO - Epoch [74][1300/3746] lr: 5.173e-02, eta: 2 days, 2:13:04, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5553, loss_cls: 4.3350, loss: 4.3350 2023-12-26 17:38:09,458 - pyskl - INFO - Epoch [74][1400/3746] lr: 5.170e-02, eta: 2 days, 2:11:58, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3097, top5_acc: 0.5592, loss_cls: 4.3314, loss: 4.3314 2023-12-26 17:39:09,316 - pyskl - INFO - Epoch [74][1500/3746] lr: 5.168e-02, eta: 2 days, 2:10:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5648, loss_cls: 4.3148, loss: 4.3148 2023-12-26 17:40:09,063 - pyskl - INFO - Epoch [74][1600/3746] lr: 5.165e-02, eta: 2 days, 2:09:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3091, top5_acc: 0.5531, loss_cls: 4.3544, loss: 4.3544 2023-12-26 17:41:08,497 - pyskl - INFO - Epoch [74][1700/3746] lr: 5.162e-02, eta: 2 days, 2:08:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3028, top5_acc: 0.5528, loss_cls: 4.3575, loss: 4.3575 2023-12-26 17:42:07,659 - pyskl - INFO - Epoch [74][1800/3746] lr: 5.159e-02, eta: 2 days, 2:07:32, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5505, loss_cls: 4.3704, loss: 4.3704 2023-12-26 17:43:07,082 - pyskl - INFO - Epoch [74][1900/3746] lr: 5.156e-02, eta: 2 days, 2:06:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2938, top5_acc: 0.5558, loss_cls: 4.3593, loss: 4.3593 2023-12-26 17:44:06,671 - pyskl - INFO - Epoch [74][2000/3746] lr: 5.154e-02, eta: 2 days, 2:05:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5616, loss_cls: 4.3322, loss: 4.3322 2023-12-26 17:45:05,939 - pyskl - INFO - Epoch [74][2100/3746] lr: 5.151e-02, eta: 2 days, 2:04:12, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3017, top5_acc: 0.5572, loss_cls: 4.3183, loss: 4.3183 2023-12-26 17:46:05,496 - pyskl - INFO - Epoch [74][2200/3746] lr: 5.148e-02, eta: 2 days, 2:03:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5637, loss_cls: 4.3204, loss: 4.3204 2023-12-26 17:47:05,107 - pyskl - INFO - Epoch [74][2300/3746] lr: 5.145e-02, eta: 2 days, 2:02:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2888, top5_acc: 0.5502, loss_cls: 4.4049, loss: 4.4049 2023-12-26 17:48:04,749 - pyskl - INFO - Epoch [74][2400/3746] lr: 5.142e-02, eta: 2 days, 2:00:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2936, top5_acc: 0.5402, loss_cls: 4.4158, loss: 4.4158 2023-12-26 17:49:04,467 - pyskl - INFO - Epoch [74][2500/3746] lr: 5.140e-02, eta: 2 days, 1:59:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5561, loss_cls: 4.3502, loss: 4.3502 2023-12-26 17:50:03,922 - pyskl - INFO - Epoch [74][2600/3746] lr: 5.137e-02, eta: 2 days, 1:58:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5566, loss_cls: 4.3344, loss: 4.3344 2023-12-26 17:51:03,341 - pyskl - INFO - Epoch [74][2700/3746] lr: 5.134e-02, eta: 2 days, 1:57:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2955, top5_acc: 0.5600, loss_cls: 4.3413, loss: 4.3413 2023-12-26 17:52:02,507 - pyskl - INFO - Epoch [74][2800/3746] lr: 5.131e-02, eta: 2 days, 1:56:27, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5484, loss_cls: 4.3519, loss: 4.3519 2023-12-26 17:53:02,071 - pyskl - INFO - Epoch [74][2900/3746] lr: 5.128e-02, eta: 2 days, 1:55:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5609, loss_cls: 4.3482, loss: 4.3482 2023-12-26 17:54:01,448 - pyskl - INFO - Epoch [74][3000/3746] lr: 5.126e-02, eta: 2 days, 1:54:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2928, top5_acc: 0.5541, loss_cls: 4.3590, loss: 4.3590 2023-12-26 17:55:01,317 - pyskl - INFO - Epoch [74][3100/3746] lr: 5.123e-02, eta: 2 days, 1:53:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3086, top5_acc: 0.5673, loss_cls: 4.3146, loss: 4.3146 2023-12-26 17:56:00,865 - pyskl - INFO - Epoch [74][3200/3746] lr: 5.120e-02, eta: 2 days, 1:52:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5558, loss_cls: 4.3596, loss: 4.3596 2023-12-26 17:57:00,207 - pyskl - INFO - Epoch [74][3300/3746] lr: 5.117e-02, eta: 2 days, 1:50:55, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5608, loss_cls: 4.3420, loss: 4.3420 2023-12-26 17:57:59,725 - pyskl - INFO - Epoch [74][3400/3746] lr: 5.114e-02, eta: 2 days, 1:49:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2914, top5_acc: 0.5472, loss_cls: 4.3863, loss: 4.3863 2023-12-26 17:58:59,218 - pyskl - INFO - Epoch [74][3500/3746] lr: 5.112e-02, eta: 2 days, 1:48:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3042, top5_acc: 0.5563, loss_cls: 4.3290, loss: 4.3290 2023-12-26 17:59:59,047 - pyskl - INFO - Epoch [74][3600/3746] lr: 5.109e-02, eta: 2 days, 1:47:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2992, top5_acc: 0.5544, loss_cls: 4.3571, loss: 4.3571 2023-12-26 18:00:58,992 - pyskl - INFO - Epoch [74][3700/3746] lr: 5.106e-02, eta: 2 days, 1:46:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2906, top5_acc: 0.5437, loss_cls: 4.4011, loss: 4.4011 2023-12-26 18:01:28,916 - pyskl - INFO - Saving checkpoint at 74 epochs 2023-12-26 18:03:30,671 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 18:03:31,479 - pyskl - INFO - top1_acc 0.2230 top5_acc 0.4561 2023-12-26 18:03:31,479 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 18:03:31,513 - pyskl - INFO - mean_acc 0.2227 2023-12-26 18:03:31,522 - pyskl - INFO - Epoch(val) [74][309] top1_acc: 0.2230, top5_acc: 0.4561, mean_class_accuracy: 0.2227 2023-12-26 18:06:52,868 - pyskl - INFO - Epoch [75][100/3746] lr: 5.102e-02, eta: 2 days, 1:46:50, time: 2.013, data_time: 1.412, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5737, loss_cls: 4.2649, loss: 4.2649 2023-12-26 18:07:52,966 - pyskl - INFO - Epoch [75][200/3746] lr: 5.099e-02, eta: 2 days, 1:45:44, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3191, top5_acc: 0.5709, loss_cls: 4.2772, loss: 4.2772 2023-12-26 18:08:52,907 - pyskl - INFO - Epoch [75][300/3746] lr: 5.096e-02, eta: 2 days, 1:44:38, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5664, loss_cls: 4.2890, loss: 4.2890 2023-12-26 18:09:52,933 - pyskl - INFO - Epoch [75][400/3746] lr: 5.094e-02, eta: 2 days, 1:43:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5616, loss_cls: 4.3116, loss: 4.3116 2023-12-26 18:10:52,672 - pyskl - INFO - Epoch [75][500/3746] lr: 5.091e-02, eta: 2 days, 1:42:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5677, loss_cls: 4.2804, loss: 4.2804 2023-12-26 18:11:52,325 - pyskl - INFO - Epoch [75][600/3746] lr: 5.088e-02, eta: 2 days, 1:41:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2956, top5_acc: 0.5609, loss_cls: 4.3544, loss: 4.3544 2023-12-26 18:12:51,841 - pyskl - INFO - Epoch [75][700/3746] lr: 5.085e-02, eta: 2 days, 1:40:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3028, top5_acc: 0.5606, loss_cls: 4.3342, loss: 4.3342 2023-12-26 18:13:51,451 - pyskl - INFO - Epoch [75][800/3746] lr: 5.082e-02, eta: 2 days, 1:39:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2950, top5_acc: 0.5517, loss_cls: 4.3773, loss: 4.3773 2023-12-26 18:14:51,176 - pyskl - INFO - Epoch [75][900/3746] lr: 5.080e-02, eta: 2 days, 1:38:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5536, loss_cls: 4.3422, loss: 4.3422 2023-12-26 18:15:50,510 - pyskl - INFO - Epoch [75][1000/3746] lr: 5.077e-02, eta: 2 days, 1:36:54, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3091, top5_acc: 0.5637, loss_cls: 4.3114, loss: 4.3114 2023-12-26 18:16:50,121 - pyskl - INFO - Epoch [75][1100/3746] lr: 5.074e-02, eta: 2 days, 1:35:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5634, loss_cls: 4.3066, loss: 4.3066 2023-12-26 18:17:50,650 - pyskl - INFO - Epoch [75][1200/3746] lr: 5.071e-02, eta: 2 days, 1:34:42, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.2952, top5_acc: 0.5644, loss_cls: 4.3412, loss: 4.3412 2023-12-26 18:18:51,324 - pyskl - INFO - Epoch [75][1300/3746] lr: 5.068e-02, eta: 2 days, 1:33:37, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5641, loss_cls: 4.3286, loss: 4.3286 2023-12-26 18:19:51,539 - pyskl - INFO - Epoch [75][1400/3746] lr: 5.066e-02, eta: 2 days, 1:32:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5566, loss_cls: 4.3160, loss: 4.3160 2023-12-26 18:20:51,052 - pyskl - INFO - Epoch [75][1500/3746] lr: 5.063e-02, eta: 2 days, 1:31:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5683, loss_cls: 4.3064, loss: 4.3064 2023-12-26 18:21:50,707 - pyskl - INFO - Epoch [75][1600/3746] lr: 5.060e-02, eta: 2 days, 1:30:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2983, top5_acc: 0.5522, loss_cls: 4.3497, loss: 4.3497 2023-12-26 18:22:50,612 - pyskl - INFO - Epoch [75][1700/3746] lr: 5.057e-02, eta: 2 days, 1:29:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3078, top5_acc: 0.5648, loss_cls: 4.2954, loss: 4.2954 2023-12-26 18:23:49,852 - pyskl - INFO - Epoch [75][1800/3746] lr: 5.054e-02, eta: 2 days, 1:28:05, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5608, loss_cls: 4.3415, loss: 4.3415 2023-12-26 18:24:49,669 - pyskl - INFO - Epoch [75][1900/3746] lr: 5.052e-02, eta: 2 days, 1:26:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5577, loss_cls: 4.3317, loss: 4.3317 2023-12-26 18:25:49,107 - pyskl - INFO - Epoch [75][2000/3746] lr: 5.049e-02, eta: 2 days, 1:25:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5598, loss_cls: 4.3215, loss: 4.3215 2023-12-26 18:26:48,796 - pyskl - INFO - Epoch [75][2100/3746] lr: 5.046e-02, eta: 2 days, 1:24:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3080, top5_acc: 0.5594, loss_cls: 4.3523, loss: 4.3523 2023-12-26 18:27:48,429 - pyskl - INFO - Epoch [75][2200/3746] lr: 5.043e-02, eta: 2 days, 1:23:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5683, loss_cls: 4.3078, loss: 4.3078 2023-12-26 18:28:48,069 - pyskl - INFO - Epoch [75][2300/3746] lr: 5.040e-02, eta: 2 days, 1:22:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3011, top5_acc: 0.5619, loss_cls: 4.3366, loss: 4.3366 2023-12-26 18:29:47,466 - pyskl - INFO - Epoch [75][2400/3746] lr: 5.038e-02, eta: 2 days, 1:21:27, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5478, loss_cls: 4.3544, loss: 4.3544 2023-12-26 18:30:47,037 - pyskl - INFO - Epoch [75][2500/3746] lr: 5.035e-02, eta: 2 days, 1:20:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2973, top5_acc: 0.5683, loss_cls: 4.3225, loss: 4.3225 2023-12-26 18:31:46,628 - pyskl - INFO - Epoch [75][2600/3746] lr: 5.032e-02, eta: 2 days, 1:19:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5591, loss_cls: 4.3143, loss: 4.3143 2023-12-26 18:32:46,283 - pyskl - INFO - Epoch [75][2700/3746] lr: 5.029e-02, eta: 2 days, 1:18:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5558, loss_cls: 4.3545, loss: 4.3545 2023-12-26 18:33:46,102 - pyskl - INFO - Epoch [75][2800/3746] lr: 5.026e-02, eta: 2 days, 1:17:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2992, top5_acc: 0.5519, loss_cls: 4.3840, loss: 4.3840 2023-12-26 18:34:46,859 - pyskl - INFO - Epoch [75][2900/3746] lr: 5.024e-02, eta: 2 days, 1:15:57, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3045, top5_acc: 0.5617, loss_cls: 4.3233, loss: 4.3233 2023-12-26 18:35:47,573 - pyskl - INFO - Epoch [75][3000/3746] lr: 5.021e-02, eta: 2 days, 1:14:52, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.2992, top5_acc: 0.5580, loss_cls: 4.3502, loss: 4.3502 2023-12-26 18:36:48,292 - pyskl - INFO - Epoch [75][3100/3746] lr: 5.018e-02, eta: 2 days, 1:13:47, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3017, top5_acc: 0.5517, loss_cls: 4.3623, loss: 4.3623 2023-12-26 18:37:48,618 - pyskl - INFO - Epoch [75][3200/3746] lr: 5.015e-02, eta: 2 days, 1:12:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3002, top5_acc: 0.5556, loss_cls: 4.3660, loss: 4.3660 2023-12-26 18:38:48,383 - pyskl - INFO - Epoch [75][3300/3746] lr: 5.012e-02, eta: 2 days, 1:11:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3006, top5_acc: 0.5567, loss_cls: 4.3285, loss: 4.3285 2023-12-26 18:39:47,998 - pyskl - INFO - Epoch [75][3400/3746] lr: 5.010e-02, eta: 2 days, 1:10:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5606, loss_cls: 4.3329, loss: 4.3329 2023-12-26 18:40:47,794 - pyskl - INFO - Epoch [75][3500/3746] lr: 5.007e-02, eta: 2 days, 1:09:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3009, top5_acc: 0.5645, loss_cls: 4.2998, loss: 4.2998 2023-12-26 18:41:47,351 - pyskl - INFO - Epoch [75][3600/3746] lr: 5.004e-02, eta: 2 days, 1:08:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2977, top5_acc: 0.5550, loss_cls: 4.3676, loss: 4.3676 2023-12-26 18:42:47,302 - pyskl - INFO - Epoch [75][3700/3746] lr: 5.001e-02, eta: 2 days, 1:07:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2931, top5_acc: 0.5528, loss_cls: 4.3628, loss: 4.3628 2023-12-26 18:43:17,142 - pyskl - INFO - Saving checkpoint at 75 epochs 2023-12-26 18:45:17,922 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 18:45:18,976 - pyskl - INFO - top1_acc 0.2554 top5_acc 0.5036 2023-12-26 18:45:18,976 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 18:45:19,013 - pyskl - INFO - mean_acc 0.2550 2023-12-26 18:45:19,018 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_73.pth was removed 2023-12-26 18:45:19,257 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_75.pth. 2023-12-26 18:45:19,258 - pyskl - INFO - Best top1_acc is 0.2554 at 75 epoch. 2023-12-26 18:45:19,266 - pyskl - INFO - Epoch(val) [75][309] top1_acc: 0.2554, top5_acc: 0.5036, mean_class_accuracy: 0.2550 2023-12-26 18:48:46,850 - pyskl - INFO - Epoch [76][100/3746] lr: 4.997e-02, eta: 2 days, 1:07:34, time: 2.076, data_time: 1.475, memory: 16177, top1_acc: 0.3178, top5_acc: 0.5719, loss_cls: 4.2680, loss: 4.2680 2023-12-26 18:49:46,999 - pyskl - INFO - Epoch [76][200/3746] lr: 4.994e-02, eta: 2 days, 1:06:29, time: 0.601, data_time: 0.001, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5744, loss_cls: 4.2780, loss: 4.2780 2023-12-26 18:50:46,810 - pyskl - INFO - Epoch [76][300/3746] lr: 4.992e-02, eta: 2 days, 1:05:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3023, top5_acc: 0.5631, loss_cls: 4.2989, loss: 4.2989 2023-12-26 18:51:46,707 - pyskl - INFO - Epoch [76][400/3746] lr: 4.989e-02, eta: 2 days, 1:04:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3133, top5_acc: 0.5663, loss_cls: 4.2903, loss: 4.2903 2023-12-26 18:52:46,552 - pyskl - INFO - Epoch [76][500/3746] lr: 4.986e-02, eta: 2 days, 1:03:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3066, top5_acc: 0.5537, loss_cls: 4.3254, loss: 4.3254 2023-12-26 18:53:46,272 - pyskl - INFO - Epoch [76][600/3746] lr: 4.983e-02, eta: 2 days, 1:02:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3038, top5_acc: 0.5681, loss_cls: 4.3191, loss: 4.3191 2023-12-26 18:54:45,883 - pyskl - INFO - Epoch [76][700/3746] lr: 4.980e-02, eta: 2 days, 1:00:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3084, top5_acc: 0.5731, loss_cls: 4.2992, loss: 4.2992 2023-12-26 18:55:45,947 - pyskl - INFO - Epoch [76][800/3746] lr: 4.978e-02, eta: 2 days, 0:59:52, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5677, loss_cls: 4.2864, loss: 4.2864 2023-12-26 18:56:45,785 - pyskl - INFO - Epoch [76][900/3746] lr: 4.975e-02, eta: 2 days, 0:58:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3114, top5_acc: 0.5680, loss_cls: 4.2867, loss: 4.2867 2023-12-26 18:57:46,529 - pyskl - INFO - Epoch [76][1000/3746] lr: 4.972e-02, eta: 2 days, 0:57:41, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3013, top5_acc: 0.5591, loss_cls: 4.3418, loss: 4.3418 2023-12-26 18:58:46,336 - pyskl - INFO - Epoch [76][1100/3746] lr: 4.969e-02, eta: 2 days, 0:56:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.2969, top5_acc: 0.5567, loss_cls: 4.3508, loss: 4.3508 2023-12-26 18:59:46,717 - pyskl - INFO - Epoch [76][1200/3746] lr: 4.966e-02, eta: 2 days, 0:55:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5561, loss_cls: 4.3498, loss: 4.3498 2023-12-26 19:00:47,476 - pyskl - INFO - Epoch [76][1300/3746] lr: 4.964e-02, eta: 2 days, 0:54:24, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3048, top5_acc: 0.5681, loss_cls: 4.3169, loss: 4.3169 2023-12-26 19:01:47,830 - pyskl - INFO - Epoch [76][1400/3746] lr: 4.961e-02, eta: 2 days, 0:53:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5561, loss_cls: 4.3466, loss: 4.3466 2023-12-26 19:02:47,762 - pyskl - INFO - Epoch [76][1500/3746] lr: 4.958e-02, eta: 2 days, 0:52:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3136, top5_acc: 0.5616, loss_cls: 4.2992, loss: 4.2992 2023-12-26 19:03:47,489 - pyskl - INFO - Epoch [76][1600/3746] lr: 4.955e-02, eta: 2 days, 0:51:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5609, loss_cls: 4.3155, loss: 4.3155 2023-12-26 19:04:47,431 - pyskl - INFO - Epoch [76][1700/3746] lr: 4.953e-02, eta: 2 days, 0:50:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3123, top5_acc: 0.5611, loss_cls: 4.3327, loss: 4.3327 2023-12-26 19:05:46,829 - pyskl - INFO - Epoch [76][1800/3746] lr: 4.950e-02, eta: 2 days, 0:48:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3008, top5_acc: 0.5581, loss_cls: 4.3316, loss: 4.3316 2023-12-26 19:06:46,020 - pyskl - INFO - Epoch [76][1900/3746] lr: 4.947e-02, eta: 2 days, 0:47:47, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3078, top5_acc: 0.5636, loss_cls: 4.3338, loss: 4.3338 2023-12-26 19:07:45,527 - pyskl - INFO - Epoch [76][2000/3746] lr: 4.944e-02, eta: 2 days, 0:46:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5659, loss_cls: 4.3289, loss: 4.3289 2023-12-26 19:08:45,063 - pyskl - INFO - Epoch [76][2100/3746] lr: 4.941e-02, eta: 2 days, 0:45:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2988, top5_acc: 0.5592, loss_cls: 4.3402, loss: 4.3402 2023-12-26 19:09:44,651 - pyskl - INFO - Epoch [76][2200/3746] lr: 4.939e-02, eta: 2 days, 0:44:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2959, top5_acc: 0.5628, loss_cls: 4.3234, loss: 4.3234 2023-12-26 19:10:45,150 - pyskl - INFO - Epoch [76][2300/3746] lr: 4.936e-02, eta: 2 days, 0:43:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3069, top5_acc: 0.5744, loss_cls: 4.2889, loss: 4.2889 2023-12-26 19:11:44,800 - pyskl - INFO - Epoch [76][2400/3746] lr: 4.933e-02, eta: 2 days, 0:42:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5506, loss_cls: 4.3472, loss: 4.3472 2023-12-26 19:12:44,350 - pyskl - INFO - Epoch [76][2500/3746] lr: 4.930e-02, eta: 2 days, 0:41:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3009, top5_acc: 0.5564, loss_cls: 4.3604, loss: 4.3604 2023-12-26 19:13:43,779 - pyskl - INFO - Epoch [76][2600/3746] lr: 4.927e-02, eta: 2 days, 0:40:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3052, top5_acc: 0.5666, loss_cls: 4.3280, loss: 4.3280 2023-12-26 19:14:43,260 - pyskl - INFO - Epoch [76][2700/3746] lr: 4.925e-02, eta: 2 days, 0:38:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3009, top5_acc: 0.5553, loss_cls: 4.3498, loss: 4.3498 2023-12-26 19:15:42,692 - pyskl - INFO - Epoch [76][2800/3746] lr: 4.922e-02, eta: 2 days, 0:37:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5705, loss_cls: 4.2758, loss: 4.2758 2023-12-26 19:16:42,164 - pyskl - INFO - Epoch [76][2900/3746] lr: 4.919e-02, eta: 2 days, 0:36:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3053, top5_acc: 0.5647, loss_cls: 4.3033, loss: 4.3033 2023-12-26 19:17:41,500 - pyskl - INFO - Epoch [76][3000/3746] lr: 4.916e-02, eta: 2 days, 0:35:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3055, top5_acc: 0.5642, loss_cls: 4.3336, loss: 4.3336 2023-12-26 19:18:41,104 - pyskl - INFO - Epoch [76][3100/3746] lr: 4.913e-02, eta: 2 days, 0:34:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3097, top5_acc: 0.5677, loss_cls: 4.2764, loss: 4.2764 2023-12-26 19:19:40,739 - pyskl - INFO - Epoch [76][3200/3746] lr: 4.911e-02, eta: 2 days, 0:33:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3011, top5_acc: 0.5584, loss_cls: 4.3410, loss: 4.3410 2023-12-26 19:20:40,418 - pyskl - INFO - Epoch [76][3300/3746] lr: 4.908e-02, eta: 2 days, 0:32:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3052, top5_acc: 0.5545, loss_cls: 4.3426, loss: 4.3426 2023-12-26 19:21:40,301 - pyskl - INFO - Epoch [76][3400/3746] lr: 4.905e-02, eta: 2 days, 0:31:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5616, loss_cls: 4.3201, loss: 4.3201 2023-12-26 19:22:39,901 - pyskl - INFO - Epoch [76][3500/3746] lr: 4.902e-02, eta: 2 days, 0:30:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5556, loss_cls: 4.3453, loss: 4.3453 2023-12-26 19:23:39,522 - pyskl - INFO - Epoch [76][3600/3746] lr: 4.899e-02, eta: 2 days, 0:29:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5597, loss_cls: 4.3417, loss: 4.3417 2023-12-26 19:24:39,533 - pyskl - INFO - Epoch [76][3700/3746] lr: 4.897e-02, eta: 2 days, 0:27:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.2966, top5_acc: 0.5570, loss_cls: 4.3498, loss: 4.3498 2023-12-26 19:25:09,458 - pyskl - INFO - Saving checkpoint at 76 epochs 2023-12-26 19:27:11,912 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 19:27:12,722 - pyskl - INFO - top1_acc 0.2516 top5_acc 0.4967 2023-12-26 19:27:12,722 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 19:27:12,757 - pyskl - INFO - mean_acc 0.2514 2023-12-26 19:27:12,766 - pyskl - INFO - Epoch(val) [76][309] top1_acc: 0.2516, top5_acc: 0.4967, mean_class_accuracy: 0.2514 2023-12-26 19:30:37,384 - pyskl - INFO - Epoch [77][100/3746] lr: 4.893e-02, eta: 2 days, 0:28:14, time: 2.046, data_time: 1.441, memory: 16177, top1_acc: 0.3183, top5_acc: 0.5644, loss_cls: 4.2582, loss: 4.2582 2023-12-26 19:31:37,623 - pyskl - INFO - Epoch [77][200/3746] lr: 4.890e-02, eta: 2 days, 0:27:08, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3152, top5_acc: 0.5794, loss_cls: 4.2304, loss: 4.2304 2023-12-26 19:32:37,465 - pyskl - INFO - Epoch [77][300/3746] lr: 4.887e-02, eta: 2 days, 0:26:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3120, top5_acc: 0.5703, loss_cls: 4.2790, loss: 4.2790 2023-12-26 19:33:37,415 - pyskl - INFO - Epoch [77][400/3746] lr: 4.884e-02, eta: 2 days, 0:24:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3086, top5_acc: 0.5633, loss_cls: 4.3159, loss: 4.3159 2023-12-26 19:34:37,210 - pyskl - INFO - Epoch [77][500/3746] lr: 4.881e-02, eta: 2 days, 0:23:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5663, loss_cls: 4.2749, loss: 4.2749 2023-12-26 19:35:36,852 - pyskl - INFO - Epoch [77][600/3746] lr: 4.879e-02, eta: 2 days, 0:22:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3111, top5_acc: 0.5653, loss_cls: 4.2966, loss: 4.2966 2023-12-26 19:36:37,248 - pyskl - INFO - Epoch [77][700/3746] lr: 4.876e-02, eta: 2 days, 0:21:39, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3089, top5_acc: 0.5703, loss_cls: 4.2833, loss: 4.2833 2023-12-26 19:37:37,614 - pyskl - INFO - Epoch [77][800/3746] lr: 4.873e-02, eta: 2 days, 0:20:33, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5656, loss_cls: 4.2949, loss: 4.2949 2023-12-26 19:38:37,123 - pyskl - INFO - Epoch [77][900/3746] lr: 4.870e-02, eta: 2 days, 0:19:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3022, top5_acc: 0.5702, loss_cls: 4.3177, loss: 4.3177 2023-12-26 19:39:36,707 - pyskl - INFO - Epoch [77][1000/3746] lr: 4.867e-02, eta: 2 days, 0:18:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3100, top5_acc: 0.5708, loss_cls: 4.2993, loss: 4.2993 2023-12-26 19:40:36,239 - pyskl - INFO - Epoch [77][1100/3746] lr: 4.865e-02, eta: 2 days, 0:17:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5689, loss_cls: 4.3002, loss: 4.3002 2023-12-26 19:41:36,171 - pyskl - INFO - Epoch [77][1200/3746] lr: 4.862e-02, eta: 2 days, 0:16:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5564, loss_cls: 4.3212, loss: 4.3212 2023-12-26 19:42:36,396 - pyskl - INFO - Epoch [77][1300/3746] lr: 4.859e-02, eta: 2 days, 0:15:03, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3086, top5_acc: 0.5681, loss_cls: 4.3004, loss: 4.3004 2023-12-26 19:43:36,840 - pyskl - INFO - Epoch [77][1400/3746] lr: 4.856e-02, eta: 2 days, 0:13:57, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5689, loss_cls: 4.2966, loss: 4.2966 2023-12-26 19:44:36,789 - pyskl - INFO - Epoch [77][1500/3746] lr: 4.853e-02, eta: 2 days, 0:12:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3141, top5_acc: 0.5653, loss_cls: 4.3082, loss: 4.3082 2023-12-26 19:45:36,504 - pyskl - INFO - Epoch [77][1600/3746] lr: 4.851e-02, eta: 2 days, 0:11:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.2998, top5_acc: 0.5561, loss_cls: 4.3375, loss: 4.3375 2023-12-26 19:46:36,329 - pyskl - INFO - Epoch [77][1700/3746] lr: 4.848e-02, eta: 2 days, 0:10:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5734, loss_cls: 4.2605, loss: 4.2605 2023-12-26 19:47:36,201 - pyskl - INFO - Epoch [77][1800/3746] lr: 4.845e-02, eta: 2 days, 0:09:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2964, top5_acc: 0.5575, loss_cls: 4.3411, loss: 4.3411 2023-12-26 19:48:36,093 - pyskl - INFO - Epoch [77][1900/3746] lr: 4.842e-02, eta: 2 days, 0:08:28, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5573, loss_cls: 4.3462, loss: 4.3462 2023-12-26 19:49:35,638 - pyskl - INFO - Epoch [77][2000/3746] lr: 4.839e-02, eta: 2 days, 0:07:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3013, top5_acc: 0.5619, loss_cls: 4.3257, loss: 4.3257 2023-12-26 19:50:35,260 - pyskl - INFO - Epoch [77][2100/3746] lr: 4.837e-02, eta: 2 days, 0:06:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5631, loss_cls: 4.3128, loss: 4.3128 2023-12-26 19:51:35,003 - pyskl - INFO - Epoch [77][2200/3746] lr: 4.834e-02, eta: 2 days, 0:05:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5700, loss_cls: 4.2681, loss: 4.2681 2023-12-26 19:52:34,414 - pyskl - INFO - Epoch [77][2300/3746] lr: 4.831e-02, eta: 2 days, 0:04:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2975, top5_acc: 0.5511, loss_cls: 4.3402, loss: 4.3402 2023-12-26 19:53:34,749 - pyskl - INFO - Epoch [77][2400/3746] lr: 4.828e-02, eta: 2 days, 0:02:58, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3000, top5_acc: 0.5536, loss_cls: 4.3495, loss: 4.3495 2023-12-26 19:54:34,927 - pyskl - INFO - Epoch [77][2500/3746] lr: 4.825e-02, eta: 2 days, 0:01:52, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5567, loss_cls: 4.3029, loss: 4.3029 2023-12-26 19:55:34,894 - pyskl - INFO - Epoch [77][2600/3746] lr: 4.823e-02, eta: 2 days, 0:00:46, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5711, loss_cls: 4.2992, loss: 4.2992 2023-12-26 19:56:34,637 - pyskl - INFO - Epoch [77][2700/3746] lr: 4.820e-02, eta: 1 day, 23:59:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5602, loss_cls: 4.3072, loss: 4.3072 2023-12-26 19:57:34,187 - pyskl - INFO - Epoch [77][2800/3746] lr: 4.817e-02, eta: 1 day, 23:58:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.2997, top5_acc: 0.5513, loss_cls: 4.3632, loss: 4.3632 2023-12-26 19:58:33,684 - pyskl - INFO - Epoch [77][2900/3746] lr: 4.814e-02, eta: 1 day, 23:57:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3033, top5_acc: 0.5658, loss_cls: 4.3178, loss: 4.3178 2023-12-26 19:59:33,226 - pyskl - INFO - Epoch [77][3000/3746] lr: 4.811e-02, eta: 1 day, 23:56:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3081, top5_acc: 0.5625, loss_cls: 4.3338, loss: 4.3338 2023-12-26 20:00:33,001 - pyskl - INFO - Epoch [77][3100/3746] lr: 4.809e-02, eta: 1 day, 23:55:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5619, loss_cls: 4.2976, loss: 4.2976 2023-12-26 20:01:32,529 - pyskl - INFO - Epoch [77][3200/3746] lr: 4.806e-02, eta: 1 day, 23:54:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5605, loss_cls: 4.3273, loss: 4.3273 2023-12-26 20:02:32,058 - pyskl - INFO - Epoch [77][3300/3746] lr: 4.803e-02, eta: 1 day, 23:53:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3106, top5_acc: 0.5691, loss_cls: 4.2835, loss: 4.2835 2023-12-26 20:03:31,678 - pyskl - INFO - Epoch [77][3400/3746] lr: 4.800e-02, eta: 1 day, 23:51:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2991, top5_acc: 0.5566, loss_cls: 4.3384, loss: 4.3384 2023-12-26 20:04:31,328 - pyskl - INFO - Epoch [77][3500/3746] lr: 4.798e-02, eta: 1 day, 23:50:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3061, top5_acc: 0.5569, loss_cls: 4.3276, loss: 4.3276 2023-12-26 20:05:30,821 - pyskl - INFO - Epoch [77][3600/3746] lr: 4.795e-02, eta: 1 day, 23:49:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3097, top5_acc: 0.5616, loss_cls: 4.2966, loss: 4.2966 2023-12-26 20:06:30,102 - pyskl - INFO - Epoch [77][3700/3746] lr: 4.792e-02, eta: 1 day, 23:48:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3036, top5_acc: 0.5670, loss_cls: 4.3353, loss: 4.3353 2023-12-26 20:06:59,727 - pyskl - INFO - Saving checkpoint at 77 epochs 2023-12-26 20:09:00,805 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 20:09:01,607 - pyskl - INFO - top1_acc 0.2246 top5_acc 0.4600 2023-12-26 20:09:01,607 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 20:09:01,637 - pyskl - INFO - mean_acc 0.2243 2023-12-26 20:09:01,645 - pyskl - INFO - Epoch(val) [77][309] top1_acc: 0.2246, top5_acc: 0.4600, mean_class_accuracy: 0.2243 2023-12-26 20:12:22,900 - pyskl - INFO - Epoch [78][100/3746] lr: 4.788e-02, eta: 1 day, 23:48:50, time: 2.012, data_time: 1.407, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5752, loss_cls: 4.2782, loss: 4.2782 2023-12-26 20:13:22,879 - pyskl - INFO - Epoch [78][200/3746] lr: 4.785e-02, eta: 1 day, 23:47:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3100, top5_acc: 0.5645, loss_cls: 4.2873, loss: 4.2873 2023-12-26 20:14:22,819 - pyskl - INFO - Epoch [78][300/3746] lr: 4.782e-02, eta: 1 day, 23:46:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5603, loss_cls: 4.3150, loss: 4.3150 2023-12-26 20:15:22,514 - pyskl - INFO - Epoch [78][400/3746] lr: 4.779e-02, eta: 1 day, 23:45:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3142, top5_acc: 0.5753, loss_cls: 4.2580, loss: 4.2580 2023-12-26 20:16:21,878 - pyskl - INFO - Epoch [78][500/3746] lr: 4.777e-02, eta: 1 day, 23:44:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5650, loss_cls: 4.2906, loss: 4.2906 2023-12-26 20:17:21,453 - pyskl - INFO - Epoch [78][600/3746] lr: 4.774e-02, eta: 1 day, 23:43:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5644, loss_cls: 4.3043, loss: 4.3043 2023-12-26 20:18:20,777 - pyskl - INFO - Epoch [78][700/3746] lr: 4.771e-02, eta: 1 day, 23:42:14, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3053, top5_acc: 0.5706, loss_cls: 4.3065, loss: 4.3065 2023-12-26 20:19:20,460 - pyskl - INFO - Epoch [78][800/3746] lr: 4.768e-02, eta: 1 day, 23:41:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3131, top5_acc: 0.5670, loss_cls: 4.2868, loss: 4.2868 2023-12-26 20:20:20,289 - pyskl - INFO - Epoch [78][900/3746] lr: 4.766e-02, eta: 1 day, 23:40:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5683, loss_cls: 4.2887, loss: 4.2887 2023-12-26 20:21:19,858 - pyskl - INFO - Epoch [78][1000/3746] lr: 4.763e-02, eta: 1 day, 23:38:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3044, top5_acc: 0.5723, loss_cls: 4.2880, loss: 4.2880 2023-12-26 20:22:19,556 - pyskl - INFO - Epoch [78][1100/3746] lr: 4.760e-02, eta: 1 day, 23:37:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3081, top5_acc: 0.5669, loss_cls: 4.3052, loss: 4.3052 2023-12-26 20:23:19,960 - pyskl - INFO - Epoch [78][1200/3746] lr: 4.757e-02, eta: 1 day, 23:36:44, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.2997, top5_acc: 0.5586, loss_cls: 4.3544, loss: 4.3544 2023-12-26 20:24:20,249 - pyskl - INFO - Epoch [78][1300/3746] lr: 4.754e-02, eta: 1 day, 23:35:39, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3063, top5_acc: 0.5597, loss_cls: 4.3135, loss: 4.3135 2023-12-26 20:25:21,407 - pyskl - INFO - Epoch [78][1400/3746] lr: 4.752e-02, eta: 1 day, 23:34:34, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3150, top5_acc: 0.5669, loss_cls: 4.2850, loss: 4.2850 2023-12-26 20:26:21,498 - pyskl - INFO - Epoch [78][1500/3746] lr: 4.749e-02, eta: 1 day, 23:33:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3052, top5_acc: 0.5661, loss_cls: 4.3060, loss: 4.3060 2023-12-26 20:27:21,174 - pyskl - INFO - Epoch [78][1600/3746] lr: 4.746e-02, eta: 1 day, 23:32:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5666, loss_cls: 4.2856, loss: 4.2856 2023-12-26 20:28:20,956 - pyskl - INFO - Epoch [78][1700/3746] lr: 4.743e-02, eta: 1 day, 23:31:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3091, top5_acc: 0.5694, loss_cls: 4.2948, loss: 4.2948 2023-12-26 20:29:20,728 - pyskl - INFO - Epoch [78][1800/3746] lr: 4.740e-02, eta: 1 day, 23:30:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3077, top5_acc: 0.5683, loss_cls: 4.2866, loss: 4.2866 2023-12-26 20:30:20,463 - pyskl - INFO - Epoch [78][1900/3746] lr: 4.738e-02, eta: 1 day, 23:29:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3155, top5_acc: 0.5687, loss_cls: 4.2698, loss: 4.2698 2023-12-26 20:31:19,849 - pyskl - INFO - Epoch [78][2000/3746] lr: 4.735e-02, eta: 1 day, 23:27:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5680, loss_cls: 4.2732, loss: 4.2732 2023-12-26 20:32:19,623 - pyskl - INFO - Epoch [78][2100/3746] lr: 4.732e-02, eta: 1 day, 23:26:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3105, top5_acc: 0.5641, loss_cls: 4.3087, loss: 4.3087 2023-12-26 20:33:19,714 - pyskl - INFO - Epoch [78][2200/3746] lr: 4.729e-02, eta: 1 day, 23:25:47, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5595, loss_cls: 4.3099, loss: 4.3099 2023-12-26 20:34:19,473 - pyskl - INFO - Epoch [78][2300/3746] lr: 4.726e-02, eta: 1 day, 23:24:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3159, top5_acc: 0.5664, loss_cls: 4.2660, loss: 4.2660 2023-12-26 20:35:18,968 - pyskl - INFO - Epoch [78][2400/3746] lr: 4.724e-02, eta: 1 day, 23:23:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3123, top5_acc: 0.5595, loss_cls: 4.3175, loss: 4.3175 2023-12-26 20:36:18,455 - pyskl - INFO - Epoch [78][2500/3746] lr: 4.721e-02, eta: 1 day, 23:22:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3183, top5_acc: 0.5756, loss_cls: 4.2420, loss: 4.2420 2023-12-26 20:37:17,995 - pyskl - INFO - Epoch [78][2600/3746] lr: 4.718e-02, eta: 1 day, 23:21:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5661, loss_cls: 4.2968, loss: 4.2968 2023-12-26 20:38:17,584 - pyskl - INFO - Epoch [78][2700/3746] lr: 4.715e-02, eta: 1 day, 23:20:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.2992, top5_acc: 0.5530, loss_cls: 4.3500, loss: 4.3500 2023-12-26 20:39:17,113 - pyskl - INFO - Epoch [78][2800/3746] lr: 4.712e-02, eta: 1 day, 23:19:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3089, top5_acc: 0.5687, loss_cls: 4.2923, loss: 4.2923 2023-12-26 20:40:16,763 - pyskl - INFO - Epoch [78][2900/3746] lr: 4.710e-02, eta: 1 day, 23:18:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5681, loss_cls: 4.2925, loss: 4.2925 2023-12-26 20:41:16,118 - pyskl - INFO - Epoch [78][3000/3746] lr: 4.707e-02, eta: 1 day, 23:16:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3150, top5_acc: 0.5636, loss_cls: 4.2984, loss: 4.2984 2023-12-26 20:42:15,560 - pyskl - INFO - Epoch [78][3100/3746] lr: 4.704e-02, eta: 1 day, 23:15:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.2967, top5_acc: 0.5622, loss_cls: 4.3324, loss: 4.3324 2023-12-26 20:43:15,346 - pyskl - INFO - Epoch [78][3200/3746] lr: 4.701e-02, eta: 1 day, 23:14:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3003, top5_acc: 0.5542, loss_cls: 4.3788, loss: 4.3788 2023-12-26 20:44:15,158 - pyskl - INFO - Epoch [78][3300/3746] lr: 4.699e-02, eta: 1 day, 23:13:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5839, loss_cls: 4.2318, loss: 4.2318 2023-12-26 20:45:14,708 - pyskl - INFO - Epoch [78][3400/3746] lr: 4.696e-02, eta: 1 day, 23:12:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3031, top5_acc: 0.5636, loss_cls: 4.3130, loss: 4.3130 2023-12-26 20:46:14,255 - pyskl - INFO - Epoch [78][3500/3746] lr: 4.693e-02, eta: 1 day, 23:11:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3070, top5_acc: 0.5683, loss_cls: 4.3029, loss: 4.3029 2023-12-26 20:47:13,722 - pyskl - INFO - Epoch [78][3600/3746] lr: 4.690e-02, eta: 1 day, 23:10:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3034, top5_acc: 0.5663, loss_cls: 4.2999, loss: 4.2999 2023-12-26 20:48:13,408 - pyskl - INFO - Epoch [78][3700/3746] lr: 4.687e-02, eta: 1 day, 23:09:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3055, top5_acc: 0.5641, loss_cls: 4.3115, loss: 4.3115 2023-12-26 20:48:43,508 - pyskl - INFO - Saving checkpoint at 78 epochs 2023-12-26 20:50:41,859 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 20:50:42,956 - pyskl - INFO - top1_acc 0.2296 top5_acc 0.4649 2023-12-26 20:50:42,956 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 20:50:43,014 - pyskl - INFO - mean_acc 0.2294 2023-12-26 20:50:43,029 - pyskl - INFO - Epoch(val) [78][309] top1_acc: 0.2296, top5_acc: 0.4649, mean_class_accuracy: 0.2294 2023-12-26 20:54:00,137 - pyskl - INFO - Epoch [79][100/3746] lr: 4.683e-02, eta: 1 day, 23:09:21, time: 1.971, data_time: 1.371, memory: 16177, top1_acc: 0.3234, top5_acc: 0.5806, loss_cls: 4.2351, loss: 4.2351 2023-12-26 20:55:00,481 - pyskl - INFO - Epoch [79][200/3746] lr: 4.680e-02, eta: 1 day, 23:08:16, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3034, top5_acc: 0.5650, loss_cls: 4.2897, loss: 4.2897 2023-12-26 20:56:00,109 - pyskl - INFO - Epoch [79][300/3746] lr: 4.678e-02, eta: 1 day, 23:07:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3134, top5_acc: 0.5747, loss_cls: 4.2331, loss: 4.2331 2023-12-26 20:56:59,612 - pyskl - INFO - Epoch [79][400/3746] lr: 4.675e-02, eta: 1 day, 23:06:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3275, top5_acc: 0.5752, loss_cls: 4.2394, loss: 4.2394 2023-12-26 20:57:58,815 - pyskl - INFO - Epoch [79][500/3746] lr: 4.672e-02, eta: 1 day, 23:04:57, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5630, loss_cls: 4.2708, loss: 4.2708 2023-12-26 20:58:58,471 - pyskl - INFO - Epoch [79][600/3746] lr: 4.669e-02, eta: 1 day, 23:03:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3105, top5_acc: 0.5728, loss_cls: 4.2994, loss: 4.2994 2023-12-26 20:59:57,523 - pyskl - INFO - Epoch [79][700/3746] lr: 4.667e-02, eta: 1 day, 23:02:45, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3102, top5_acc: 0.5761, loss_cls: 4.2564, loss: 4.2564 2023-12-26 21:00:56,830 - pyskl - INFO - Epoch [79][800/3746] lr: 4.664e-02, eta: 1 day, 23:01:38, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3123, top5_acc: 0.5680, loss_cls: 4.2724, loss: 4.2724 2023-12-26 21:01:56,769 - pyskl - INFO - Epoch [79][900/3746] lr: 4.661e-02, eta: 1 day, 23:00:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5739, loss_cls: 4.2786, loss: 4.2786 2023-12-26 21:02:57,328 - pyskl - INFO - Epoch [79][1000/3746] lr: 4.658e-02, eta: 1 day, 22:59:27, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3142, top5_acc: 0.5737, loss_cls: 4.2510, loss: 4.2510 2023-12-26 21:03:57,742 - pyskl - INFO - Epoch [79][1100/3746] lr: 4.655e-02, eta: 1 day, 22:58:22, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3030, top5_acc: 0.5620, loss_cls: 4.3098, loss: 4.3098 2023-12-26 21:04:57,502 - pyskl - INFO - Epoch [79][1200/3746] lr: 4.653e-02, eta: 1 day, 22:57:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5664, loss_cls: 4.2882, loss: 4.2882 2023-12-26 21:05:57,289 - pyskl - INFO - Epoch [79][1300/3746] lr: 4.650e-02, eta: 1 day, 22:56:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3195, top5_acc: 0.5727, loss_cls: 4.2731, loss: 4.2731 2023-12-26 21:06:58,419 - pyskl - INFO - Epoch [79][1400/3746] lr: 4.647e-02, eta: 1 day, 22:55:06, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3120, top5_acc: 0.5602, loss_cls: 4.2839, loss: 4.2839 2023-12-26 21:07:58,561 - pyskl - INFO - Epoch [79][1500/3746] lr: 4.644e-02, eta: 1 day, 22:54:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3081, top5_acc: 0.5606, loss_cls: 4.3420, loss: 4.3420 2023-12-26 21:08:58,105 - pyskl - INFO - Epoch [79][1600/3746] lr: 4.641e-02, eta: 1 day, 22:52:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5686, loss_cls: 4.2792, loss: 4.2792 2023-12-26 21:09:57,973 - pyskl - INFO - Epoch [79][1700/3746] lr: 4.639e-02, eta: 1 day, 22:51:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3237, top5_acc: 0.5666, loss_cls: 4.2591, loss: 4.2591 2023-12-26 21:10:58,258 - pyskl - INFO - Epoch [79][1800/3746] lr: 4.636e-02, eta: 1 day, 22:50:43, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3136, top5_acc: 0.5711, loss_cls: 4.2742, loss: 4.2742 2023-12-26 21:11:58,061 - pyskl - INFO - Epoch [79][1900/3746] lr: 4.633e-02, eta: 1 day, 22:49:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5673, loss_cls: 4.3119, loss: 4.3119 2023-12-26 21:12:57,686 - pyskl - INFO - Epoch [79][2000/3746] lr: 4.630e-02, eta: 1 day, 22:48:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3050, top5_acc: 0.5648, loss_cls: 4.3100, loss: 4.3100 2023-12-26 21:13:57,731 - pyskl - INFO - Epoch [79][2100/3746] lr: 4.628e-02, eta: 1 day, 22:47:26, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3170, top5_acc: 0.5697, loss_cls: 4.2550, loss: 4.2550 2023-12-26 21:14:58,506 - pyskl - INFO - Epoch [79][2200/3746] lr: 4.625e-02, eta: 1 day, 22:46:21, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3131, top5_acc: 0.5719, loss_cls: 4.2976, loss: 4.2976 2023-12-26 21:15:59,035 - pyskl - INFO - Epoch [79][2300/3746] lr: 4.622e-02, eta: 1 day, 22:45:16, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5692, loss_cls: 4.2879, loss: 4.2879 2023-12-26 21:16:59,247 - pyskl - INFO - Epoch [79][2400/3746] lr: 4.619e-02, eta: 1 day, 22:44:10, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3084, top5_acc: 0.5680, loss_cls: 4.3012, loss: 4.3012 2023-12-26 21:17:59,533 - pyskl - INFO - Epoch [79][2500/3746] lr: 4.616e-02, eta: 1 day, 22:43:05, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3092, top5_acc: 0.5683, loss_cls: 4.3172, loss: 4.3172 2023-12-26 21:19:00,513 - pyskl - INFO - Epoch [79][2600/3746] lr: 4.614e-02, eta: 1 day, 22:42:00, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.2984, top5_acc: 0.5572, loss_cls: 4.3478, loss: 4.3478 2023-12-26 21:20:00,369 - pyskl - INFO - Epoch [79][2700/3746] lr: 4.611e-02, eta: 1 day, 22:40:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3167, top5_acc: 0.5723, loss_cls: 4.3063, loss: 4.3063 2023-12-26 21:21:00,210 - pyskl - INFO - Epoch [79][2800/3746] lr: 4.608e-02, eta: 1 day, 22:39:49, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3078, top5_acc: 0.5556, loss_cls: 4.3232, loss: 4.3232 2023-12-26 21:22:00,583 - pyskl - INFO - Epoch [79][2900/3746] lr: 4.605e-02, eta: 1 day, 22:38:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5683, loss_cls: 4.2848, loss: 4.2848 2023-12-26 21:23:00,096 - pyskl - INFO - Epoch [79][3000/3746] lr: 4.602e-02, eta: 1 day, 22:37:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5673, loss_cls: 4.2755, loss: 4.2755 2023-12-26 21:23:59,810 - pyskl - INFO - Epoch [79][3100/3746] lr: 4.600e-02, eta: 1 day, 22:36:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3083, top5_acc: 0.5683, loss_cls: 4.3000, loss: 4.3000 2023-12-26 21:24:59,700 - pyskl - INFO - Epoch [79][3200/3746] lr: 4.597e-02, eta: 1 day, 22:35:26, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5645, loss_cls: 4.3089, loss: 4.3089 2023-12-26 21:25:59,210 - pyskl - INFO - Epoch [79][3300/3746] lr: 4.594e-02, eta: 1 day, 22:34:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3053, top5_acc: 0.5642, loss_cls: 4.2934, loss: 4.2934 2023-12-26 21:26:58,767 - pyskl - INFO - Epoch [79][3400/3746] lr: 4.591e-02, eta: 1 day, 22:33:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5675, loss_cls: 4.2775, loss: 4.2775 2023-12-26 21:27:58,651 - pyskl - INFO - Epoch [79][3500/3746] lr: 4.588e-02, eta: 1 day, 22:32:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3084, top5_acc: 0.5652, loss_cls: 4.2972, loss: 4.2972 2023-12-26 21:28:58,261 - pyskl - INFO - Epoch [79][3600/3746] lr: 4.586e-02, eta: 1 day, 22:31:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3089, top5_acc: 0.5741, loss_cls: 4.2883, loss: 4.2883 2023-12-26 21:29:58,082 - pyskl - INFO - Epoch [79][3700/3746] lr: 4.583e-02, eta: 1 day, 22:29:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3019, top5_acc: 0.5609, loss_cls: 4.3133, loss: 4.3133 2023-12-26 21:30:27,930 - pyskl - INFO - Saving checkpoint at 79 epochs 2023-12-26 21:32:26,686 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 21:32:27,751 - pyskl - INFO - top1_acc 0.2491 top5_acc 0.4869 2023-12-26 21:32:27,751 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 21:32:27,789 - pyskl - INFO - mean_acc 0.2490 2023-12-26 21:32:27,797 - pyskl - INFO - Epoch(val) [79][309] top1_acc: 0.2491, top5_acc: 0.4869, mean_class_accuracy: 0.2490 2023-12-26 21:35:53,420 - pyskl - INFO - Epoch [80][100/3746] lr: 4.579e-02, eta: 1 day, 22:30:07, time: 2.056, data_time: 1.456, memory: 16177, top1_acc: 0.3319, top5_acc: 0.5825, loss_cls: 4.1901, loss: 4.1901 2023-12-26 21:36:54,138 - pyskl - INFO - Epoch [80][200/3746] lr: 4.576e-02, eta: 1 day, 22:29:02, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3206, top5_acc: 0.5817, loss_cls: 4.2045, loss: 4.2045 2023-12-26 21:37:54,328 - pyskl - INFO - Epoch [80][300/3746] lr: 4.573e-02, eta: 1 day, 22:27:56, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3141, top5_acc: 0.5719, loss_cls: 4.2620, loss: 4.2620 2023-12-26 21:38:53,751 - pyskl - INFO - Epoch [80][400/3746] lr: 4.570e-02, eta: 1 day, 22:26:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5605, loss_cls: 4.3082, loss: 4.3082 2023-12-26 21:39:53,466 - pyskl - INFO - Epoch [80][500/3746] lr: 4.568e-02, eta: 1 day, 22:25:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3145, top5_acc: 0.5733, loss_cls: 4.2397, loss: 4.2397 2023-12-26 21:40:53,100 - pyskl - INFO - Epoch [80][600/3746] lr: 4.565e-02, eta: 1 day, 22:24:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5730, loss_cls: 4.2635, loss: 4.2635 2023-12-26 21:41:52,632 - pyskl - INFO - Epoch [80][700/3746] lr: 4.562e-02, eta: 1 day, 22:23:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5827, loss_cls: 4.2166, loss: 4.2166 2023-12-26 21:42:52,304 - pyskl - INFO - Epoch [80][800/3746] lr: 4.559e-02, eta: 1 day, 22:22:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3122, top5_acc: 0.5711, loss_cls: 4.2732, loss: 4.2732 2023-12-26 21:43:51,862 - pyskl - INFO - Epoch [80][900/3746] lr: 4.557e-02, eta: 1 day, 22:21:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3156, top5_acc: 0.5763, loss_cls: 4.2738, loss: 4.2738 2023-12-26 21:44:51,719 - pyskl - INFO - Epoch [80][1000/3746] lr: 4.554e-02, eta: 1 day, 22:20:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5727, loss_cls: 4.2751, loss: 4.2751 2023-12-26 21:45:51,087 - pyskl - INFO - Epoch [80][1100/3746] lr: 4.551e-02, eta: 1 day, 22:19:09, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3109, top5_acc: 0.5691, loss_cls: 4.2718, loss: 4.2718 2023-12-26 21:46:50,564 - pyskl - INFO - Epoch [80][1200/3746] lr: 4.548e-02, eta: 1 day, 22:18:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5647, loss_cls: 4.2715, loss: 4.2715 2023-12-26 21:47:50,345 - pyskl - INFO - Epoch [80][1300/3746] lr: 4.545e-02, eta: 1 day, 22:16:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5730, loss_cls: 4.2763, loss: 4.2763 2023-12-26 21:48:51,750 - pyskl - INFO - Epoch [80][1400/3746] lr: 4.543e-02, eta: 1 day, 22:15:52, time: 0.614, data_time: 0.001, memory: 16177, top1_acc: 0.3116, top5_acc: 0.5683, loss_cls: 4.2944, loss: 4.2944 2023-12-26 21:49:52,428 - pyskl - INFO - Epoch [80][1500/3746] lr: 4.540e-02, eta: 1 day, 22:14:47, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3227, top5_acc: 0.5745, loss_cls: 4.2388, loss: 4.2388 2023-12-26 21:50:52,519 - pyskl - INFO - Epoch [80][1600/3746] lr: 4.537e-02, eta: 1 day, 22:13:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3197, top5_acc: 0.5786, loss_cls: 4.2562, loss: 4.2562 2023-12-26 21:51:52,359 - pyskl - INFO - Epoch [80][1700/3746] lr: 4.534e-02, eta: 1 day, 22:12:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5714, loss_cls: 4.2976, loss: 4.2976 2023-12-26 21:52:52,631 - pyskl - INFO - Epoch [80][1800/3746] lr: 4.532e-02, eta: 1 day, 22:11:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3014, top5_acc: 0.5573, loss_cls: 4.3160, loss: 4.3160 2023-12-26 21:53:51,974 - pyskl - INFO - Epoch [80][1900/3746] lr: 4.529e-02, eta: 1 day, 22:10:25, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3072, top5_acc: 0.5603, loss_cls: 4.2884, loss: 4.2884 2023-12-26 21:54:51,369 - pyskl - INFO - Epoch [80][2000/3746] lr: 4.526e-02, eta: 1 day, 22:09:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3041, top5_acc: 0.5622, loss_cls: 4.3130, loss: 4.3130 2023-12-26 21:55:50,878 - pyskl - INFO - Epoch [80][2100/3746] lr: 4.523e-02, eta: 1 day, 22:08:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3155, top5_acc: 0.5620, loss_cls: 4.2818, loss: 4.2818 2023-12-26 21:56:50,237 - pyskl - INFO - Epoch [80][2200/3746] lr: 4.520e-02, eta: 1 day, 22:07:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5508, loss_cls: 4.3430, loss: 4.3430 2023-12-26 21:57:49,868 - pyskl - INFO - Epoch [80][2300/3746] lr: 4.518e-02, eta: 1 day, 22:06:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5708, loss_cls: 4.2723, loss: 4.2723 2023-12-26 21:58:49,709 - pyskl - INFO - Epoch [80][2400/3746] lr: 4.515e-02, eta: 1 day, 22:04:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5681, loss_cls: 4.2730, loss: 4.2730 2023-12-26 21:59:49,351 - pyskl - INFO - Epoch [80][2500/3746] lr: 4.512e-02, eta: 1 day, 22:03:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3067, top5_acc: 0.5616, loss_cls: 4.3344, loss: 4.3344 2023-12-26 22:00:48,958 - pyskl - INFO - Epoch [80][2600/3746] lr: 4.509e-02, eta: 1 day, 22:02:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5775, loss_cls: 4.2661, loss: 4.2661 2023-12-26 22:01:48,732 - pyskl - INFO - Epoch [80][2700/3746] lr: 4.506e-02, eta: 1 day, 22:01:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3155, top5_acc: 0.5637, loss_cls: 4.3041, loss: 4.3041 2023-12-26 22:02:48,374 - pyskl - INFO - Epoch [80][2800/3746] lr: 4.504e-02, eta: 1 day, 22:00:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5678, loss_cls: 4.2913, loss: 4.2913 2023-12-26 22:03:48,451 - pyskl - INFO - Epoch [80][2900/3746] lr: 4.501e-02, eta: 1 day, 21:59:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5725, loss_cls: 4.2881, loss: 4.2881 2023-12-26 22:04:48,077 - pyskl - INFO - Epoch [80][3000/3746] lr: 4.498e-02, eta: 1 day, 21:58:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3127, top5_acc: 0.5641, loss_cls: 4.2920, loss: 4.2920 2023-12-26 22:05:48,418 - pyskl - INFO - Epoch [80][3100/3746] lr: 4.495e-02, eta: 1 day, 21:57:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3123, top5_acc: 0.5683, loss_cls: 4.2814, loss: 4.2814 2023-12-26 22:06:49,201 - pyskl - INFO - Epoch [80][3200/3746] lr: 4.493e-02, eta: 1 day, 21:56:10, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3228, top5_acc: 0.5802, loss_cls: 4.2443, loss: 4.2443 2023-12-26 22:07:49,864 - pyskl - INFO - Epoch [80][3300/3746] lr: 4.490e-02, eta: 1 day, 21:55:05, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3020, top5_acc: 0.5617, loss_cls: 4.3251, loss: 4.3251 2023-12-26 22:08:49,350 - pyskl - INFO - Epoch [80][3400/3746] lr: 4.487e-02, eta: 1 day, 21:53:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3089, top5_acc: 0.5637, loss_cls: 4.2973, loss: 4.2973 2023-12-26 22:09:48,977 - pyskl - INFO - Epoch [80][3500/3746] lr: 4.484e-02, eta: 1 day, 21:52:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3075, top5_acc: 0.5647, loss_cls: 4.3064, loss: 4.3064 2023-12-26 22:10:48,584 - pyskl - INFO - Epoch [80][3600/3746] lr: 4.481e-02, eta: 1 day, 21:51:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3156, top5_acc: 0.5705, loss_cls: 4.2732, loss: 4.2732 2023-12-26 22:11:48,660 - pyskl - INFO - Epoch [80][3700/3746] lr: 4.479e-02, eta: 1 day, 21:50:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3153, top5_acc: 0.5672, loss_cls: 4.2760, loss: 4.2760 2023-12-26 22:12:19,618 - pyskl - INFO - Saving checkpoint at 80 epochs 2023-12-26 22:14:23,169 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 22:14:24,233 - pyskl - INFO - top1_acc 0.2397 top5_acc 0.4814 2023-12-26 22:14:24,234 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 22:14:24,273 - pyskl - INFO - mean_acc 0.2394 2023-12-26 22:14:24,282 - pyskl - INFO - Epoch(val) [80][309] top1_acc: 0.2397, top5_acc: 0.4814, mean_class_accuracy: 0.2394 2023-12-26 22:17:41,967 - pyskl - INFO - Epoch [81][100/3746] lr: 4.475e-02, eta: 1 day, 21:50:43, time: 1.977, data_time: 1.379, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5755, loss_cls: 4.2170, loss: 4.2170 2023-12-26 22:18:41,973 - pyskl - INFO - Epoch [81][200/3746] lr: 4.472e-02, eta: 1 day, 21:49:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3064, top5_acc: 0.5681, loss_cls: 4.2946, loss: 4.2946 2023-12-26 22:19:42,049 - pyskl - INFO - Epoch [81][300/3746] lr: 4.469e-02, eta: 1 day, 21:48:32, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5837, loss_cls: 4.2338, loss: 4.2338 2023-12-26 22:20:41,505 - pyskl - INFO - Epoch [81][400/3746] lr: 4.466e-02, eta: 1 day, 21:47:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3323, top5_acc: 0.5800, loss_cls: 4.1942, loss: 4.1942 2023-12-26 22:21:41,362 - pyskl - INFO - Epoch [81][500/3746] lr: 4.463e-02, eta: 1 day, 21:46:20, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3223, top5_acc: 0.5714, loss_cls: 4.2274, loss: 4.2274 2023-12-26 22:22:40,996 - pyskl - INFO - Epoch [81][600/3746] lr: 4.461e-02, eta: 1 day, 21:45:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5641, loss_cls: 4.2690, loss: 4.2690 2023-12-26 22:23:40,452 - pyskl - INFO - Epoch [81][700/3746] lr: 4.458e-02, eta: 1 day, 21:44:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3248, top5_acc: 0.5700, loss_cls: 4.2615, loss: 4.2615 2023-12-26 22:24:39,878 - pyskl - INFO - Epoch [81][800/3746] lr: 4.455e-02, eta: 1 day, 21:43:02, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5830, loss_cls: 4.2354, loss: 4.2354 2023-12-26 22:25:39,555 - pyskl - INFO - Epoch [81][900/3746] lr: 4.452e-02, eta: 1 day, 21:41:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3111, top5_acc: 0.5694, loss_cls: 4.2629, loss: 4.2629 2023-12-26 22:26:39,490 - pyskl - INFO - Epoch [81][1000/3746] lr: 4.450e-02, eta: 1 day, 21:40:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5736, loss_cls: 4.2736, loss: 4.2736 2023-12-26 22:27:39,303 - pyskl - INFO - Epoch [81][1100/3746] lr: 4.447e-02, eta: 1 day, 21:39:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5828, loss_cls: 4.2120, loss: 4.2120 2023-12-26 22:28:38,915 - pyskl - INFO - Epoch [81][1200/3746] lr: 4.444e-02, eta: 1 day, 21:38:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3133, top5_acc: 0.5573, loss_cls: 4.2973, loss: 4.2973 2023-12-26 22:29:38,935 - pyskl - INFO - Epoch [81][1300/3746] lr: 4.441e-02, eta: 1 day, 21:37:34, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3195, top5_acc: 0.5639, loss_cls: 4.2863, loss: 4.2863 2023-12-26 22:30:39,037 - pyskl - INFO - Epoch [81][1400/3746] lr: 4.438e-02, eta: 1 day, 21:36:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3159, top5_acc: 0.5867, loss_cls: 4.2114, loss: 4.2114 2023-12-26 22:31:40,746 - pyskl - INFO - Epoch [81][1500/3746] lr: 4.436e-02, eta: 1 day, 21:35:24, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.3050, top5_acc: 0.5595, loss_cls: 4.3315, loss: 4.3315 2023-12-26 22:32:40,701 - pyskl - INFO - Epoch [81][1600/3746] lr: 4.433e-02, eta: 1 day, 21:34:19, time: 0.600, data_time: 0.001, memory: 16177, top1_acc: 0.3261, top5_acc: 0.5767, loss_cls: 4.2476, loss: 4.2476 2023-12-26 22:33:40,228 - pyskl - INFO - Epoch [81][1700/3746] lr: 4.430e-02, eta: 1 day, 21:33:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3100, top5_acc: 0.5684, loss_cls: 4.2711, loss: 4.2711 2023-12-26 22:34:40,313 - pyskl - INFO - Epoch [81][1800/3746] lr: 4.427e-02, eta: 1 day, 21:32:07, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3086, top5_acc: 0.5628, loss_cls: 4.2926, loss: 4.2926 2023-12-26 22:35:40,009 - pyskl - INFO - Epoch [81][1900/3746] lr: 4.425e-02, eta: 1 day, 21:31:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3158, top5_acc: 0.5675, loss_cls: 4.2920, loss: 4.2920 2023-12-26 22:36:39,721 - pyskl - INFO - Epoch [81][2000/3746] lr: 4.422e-02, eta: 1 day, 21:29:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3134, top5_acc: 0.5622, loss_cls: 4.3049, loss: 4.3049 2023-12-26 22:37:39,887 - pyskl - INFO - Epoch [81][2100/3746] lr: 4.419e-02, eta: 1 day, 21:28:51, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3209, top5_acc: 0.5819, loss_cls: 4.2279, loss: 4.2279 2023-12-26 22:38:39,954 - pyskl - INFO - Epoch [81][2200/3746] lr: 4.416e-02, eta: 1 day, 21:27:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5533, loss_cls: 4.3281, loss: 4.3281 2023-12-26 22:39:39,677 - pyskl - INFO - Epoch [81][2300/3746] lr: 4.413e-02, eta: 1 day, 21:26:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3078, top5_acc: 0.5570, loss_cls: 4.3109, loss: 4.3109 2023-12-26 22:40:39,276 - pyskl - INFO - Epoch [81][2400/3746] lr: 4.411e-02, eta: 1 day, 21:25:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3236, top5_acc: 0.5830, loss_cls: 4.2436, loss: 4.2436 2023-12-26 22:41:38,794 - pyskl - INFO - Epoch [81][2500/3746] lr: 4.408e-02, eta: 1 day, 21:24:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5730, loss_cls: 4.2451, loss: 4.2451 2023-12-26 22:42:38,603 - pyskl - INFO - Epoch [81][2600/3746] lr: 4.405e-02, eta: 1 day, 21:23:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5578, loss_cls: 4.3289, loss: 4.3289 2023-12-26 22:43:38,434 - pyskl - INFO - Epoch [81][2700/3746] lr: 4.402e-02, eta: 1 day, 21:22:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3152, top5_acc: 0.5705, loss_cls: 4.2793, loss: 4.2793 2023-12-26 22:44:38,283 - pyskl - INFO - Epoch [81][2800/3746] lr: 4.400e-02, eta: 1 day, 21:21:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3248, top5_acc: 0.5781, loss_cls: 4.2336, loss: 4.2336 2023-12-26 22:45:37,977 - pyskl - INFO - Epoch [81][2900/3746] lr: 4.397e-02, eta: 1 day, 21:20:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3155, top5_acc: 0.5781, loss_cls: 4.2380, loss: 4.2380 2023-12-26 22:46:37,659 - pyskl - INFO - Epoch [81][3000/3746] lr: 4.394e-02, eta: 1 day, 21:19:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3144, top5_acc: 0.5650, loss_cls: 4.3184, loss: 4.3184 2023-12-26 22:47:37,228 - pyskl - INFO - Epoch [81][3100/3746] lr: 4.391e-02, eta: 1 day, 21:17:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3136, top5_acc: 0.5613, loss_cls: 4.2827, loss: 4.2827 2023-12-26 22:48:36,646 - pyskl - INFO - Epoch [81][3200/3746] lr: 4.389e-02, eta: 1 day, 21:16:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5819, loss_cls: 4.2479, loss: 4.2479 2023-12-26 22:49:36,097 - pyskl - INFO - Epoch [81][3300/3746] lr: 4.386e-02, eta: 1 day, 21:15:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5766, loss_cls: 4.2763, loss: 4.2763 2023-12-26 22:50:35,676 - pyskl - INFO - Epoch [81][3400/3746] lr: 4.383e-02, eta: 1 day, 21:14:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3008, top5_acc: 0.5580, loss_cls: 4.3213, loss: 4.3213 2023-12-26 22:51:35,204 - pyskl - INFO - Epoch [81][3500/3746] lr: 4.380e-02, eta: 1 day, 21:13:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3080, top5_acc: 0.5669, loss_cls: 4.2731, loss: 4.2731 2023-12-26 22:52:34,797 - pyskl - INFO - Epoch [81][3600/3746] lr: 4.377e-02, eta: 1 day, 21:12:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5753, loss_cls: 4.2505, loss: 4.2505 2023-12-26 22:53:34,792 - pyskl - INFO - Epoch [81][3700/3746] lr: 4.375e-02, eta: 1 day, 21:11:19, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5627, loss_cls: 4.2958, loss: 4.2958 2023-12-26 22:54:05,947 - pyskl - INFO - Saving checkpoint at 81 epochs 2023-12-26 22:56:09,507 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 22:56:10,575 - pyskl - INFO - top1_acc 0.2488 top5_acc 0.4941 2023-12-26 22:56:10,575 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 22:56:10,613 - pyskl - INFO - mean_acc 0.2486 2023-12-26 22:56:10,622 - pyskl - INFO - Epoch(val) [81][309] top1_acc: 0.2488, top5_acc: 0.4941, mean_class_accuracy: 0.2486 2023-12-26 22:59:36,919 - pyskl - INFO - Epoch [82][100/3746] lr: 4.371e-02, eta: 1 day, 21:11:25, time: 2.063, data_time: 1.459, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5747, loss_cls: 4.2533, loss: 4.2533 2023-12-26 23:00:37,090 - pyskl - INFO - Epoch [82][200/3746] lr: 4.368e-02, eta: 1 day, 21:10:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5884, loss_cls: 4.1939, loss: 4.1939 2023-12-26 23:01:37,344 - pyskl - INFO - Epoch [82][300/3746] lr: 4.365e-02, eta: 1 day, 21:09:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5789, loss_cls: 4.2443, loss: 4.2443 2023-12-26 23:02:37,109 - pyskl - INFO - Epoch [82][400/3746] lr: 4.362e-02, eta: 1 day, 21:08:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3281, top5_acc: 0.5822, loss_cls: 4.1887, loss: 4.1887 2023-12-26 23:03:36,707 - pyskl - INFO - Epoch [82][500/3746] lr: 4.359e-02, eta: 1 day, 21:07:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3220, top5_acc: 0.5745, loss_cls: 4.2429, loss: 4.2429 2023-12-26 23:04:36,350 - pyskl - INFO - Epoch [82][600/3746] lr: 4.357e-02, eta: 1 day, 21:05:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3253, top5_acc: 0.5887, loss_cls: 4.2072, loss: 4.2072 2023-12-26 23:05:35,778 - pyskl - INFO - Epoch [82][700/3746] lr: 4.354e-02, eta: 1 day, 21:04:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3169, top5_acc: 0.5700, loss_cls: 4.2541, loss: 4.2541 2023-12-26 23:06:35,267 - pyskl - INFO - Epoch [82][800/3746] lr: 4.351e-02, eta: 1 day, 21:03:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5747, loss_cls: 4.2597, loss: 4.2597 2023-12-26 23:07:34,874 - pyskl - INFO - Epoch [82][900/3746] lr: 4.348e-02, eta: 1 day, 21:02:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5714, loss_cls: 4.2670, loss: 4.2670 2023-12-26 23:08:34,689 - pyskl - INFO - Epoch [82][1000/3746] lr: 4.346e-02, eta: 1 day, 21:01:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3147, top5_acc: 0.5766, loss_cls: 4.2416, loss: 4.2416 2023-12-26 23:09:33,792 - pyskl - INFO - Epoch [82][1100/3746] lr: 4.343e-02, eta: 1 day, 21:00:27, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3228, top5_acc: 0.5787, loss_cls: 4.2360, loss: 4.2360 2023-12-26 23:10:33,235 - pyskl - INFO - Epoch [82][1200/3746] lr: 4.340e-02, eta: 1 day, 20:59:21, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5737, loss_cls: 4.2336, loss: 4.2336 2023-12-26 23:11:32,821 - pyskl - INFO - Epoch [82][1300/3746] lr: 4.337e-02, eta: 1 day, 20:58:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5656, loss_cls: 4.2985, loss: 4.2985 2023-12-26 23:12:33,698 - pyskl - INFO - Epoch [82][1400/3746] lr: 4.335e-02, eta: 1 day, 20:57:11, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5772, loss_cls: 4.2367, loss: 4.2367 2023-12-26 23:13:34,613 - pyskl - INFO - Epoch [82][1500/3746] lr: 4.332e-02, eta: 1 day, 20:56:06, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3272, top5_acc: 0.5892, loss_cls: 4.2155, loss: 4.2155 2023-12-26 23:14:34,532 - pyskl - INFO - Epoch [82][1600/3746] lr: 4.329e-02, eta: 1 day, 20:55:01, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3147, top5_acc: 0.5764, loss_cls: 4.2694, loss: 4.2694 2023-12-26 23:15:34,377 - pyskl - INFO - Epoch [82][1700/3746] lr: 4.326e-02, eta: 1 day, 20:53:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5689, loss_cls: 4.2687, loss: 4.2687 2023-12-26 23:16:34,231 - pyskl - INFO - Epoch [82][1800/3746] lr: 4.323e-02, eta: 1 day, 20:52:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3141, top5_acc: 0.5663, loss_cls: 4.3021, loss: 4.3021 2023-12-26 23:17:33,830 - pyskl - INFO - Epoch [82][1900/3746] lr: 4.321e-02, eta: 1 day, 20:51:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3241, top5_acc: 0.5748, loss_cls: 4.2568, loss: 4.2568 2023-12-26 23:18:33,465 - pyskl - INFO - Epoch [82][2000/3746] lr: 4.318e-02, eta: 1 day, 20:50:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5714, loss_cls: 4.2754, loss: 4.2754 2023-12-26 23:19:32,956 - pyskl - INFO - Epoch [82][2100/3746] lr: 4.315e-02, eta: 1 day, 20:49:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3098, top5_acc: 0.5547, loss_cls: 4.3336, loss: 4.3336 2023-12-26 23:20:32,751 - pyskl - INFO - Epoch [82][2200/3746] lr: 4.312e-02, eta: 1 day, 20:48:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3167, top5_acc: 0.5716, loss_cls: 4.2494, loss: 4.2494 2023-12-26 23:21:32,445 - pyskl - INFO - Epoch [82][2300/3746] lr: 4.310e-02, eta: 1 day, 20:47:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3142, top5_acc: 0.5664, loss_cls: 4.2687, loss: 4.2687 2023-12-26 23:22:32,039 - pyskl - INFO - Epoch [82][2400/3746] lr: 4.307e-02, eta: 1 day, 20:46:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3180, top5_acc: 0.5739, loss_cls: 4.2634, loss: 4.2634 2023-12-26 23:23:31,888 - pyskl - INFO - Epoch [82][2500/3746] lr: 4.304e-02, eta: 1 day, 20:45:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3230, top5_acc: 0.5756, loss_cls: 4.2448, loss: 4.2448 2023-12-26 23:24:31,726 - pyskl - INFO - Epoch [82][2600/3746] lr: 4.301e-02, eta: 1 day, 20:44:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3223, top5_acc: 0.5736, loss_cls: 4.2705, loss: 4.2705 2023-12-26 23:25:31,616 - pyskl - INFO - Epoch [82][2700/3746] lr: 4.299e-02, eta: 1 day, 20:42:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5694, loss_cls: 4.2913, loss: 4.2913 2023-12-26 23:26:31,401 - pyskl - INFO - Epoch [82][2800/3746] lr: 4.296e-02, eta: 1 day, 20:41:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3187, top5_acc: 0.5816, loss_cls: 4.2525, loss: 4.2525 2023-12-26 23:27:31,159 - pyskl - INFO - Epoch [82][2900/3746] lr: 4.293e-02, eta: 1 day, 20:40:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5650, loss_cls: 4.2960, loss: 4.2960 2023-12-26 23:28:31,086 - pyskl - INFO - Epoch [82][3000/3746] lr: 4.290e-02, eta: 1 day, 20:39:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3184, top5_acc: 0.5731, loss_cls: 4.2788, loss: 4.2788 2023-12-26 23:29:31,717 - pyskl - INFO - Epoch [82][3100/3746] lr: 4.287e-02, eta: 1 day, 20:38:37, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5744, loss_cls: 4.2193, loss: 4.2193 2023-12-26 23:30:32,268 - pyskl - INFO - Epoch [82][3200/3746] lr: 4.285e-02, eta: 1 day, 20:37:32, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3108, top5_acc: 0.5652, loss_cls: 4.2952, loss: 4.2952 2023-12-26 23:31:31,849 - pyskl - INFO - Epoch [82][3300/3746] lr: 4.282e-02, eta: 1 day, 20:36:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5753, loss_cls: 4.2646, loss: 4.2646 2023-12-26 23:32:31,485 - pyskl - INFO - Epoch [82][3400/3746] lr: 4.279e-02, eta: 1 day, 20:35:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3200, top5_acc: 0.5722, loss_cls: 4.2797, loss: 4.2797 2023-12-26 23:33:31,003 - pyskl - INFO - Epoch [82][3500/3746] lr: 4.276e-02, eta: 1 day, 20:34:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5763, loss_cls: 4.2380, loss: 4.2380 2023-12-26 23:34:30,642 - pyskl - INFO - Epoch [82][3600/3746] lr: 4.274e-02, eta: 1 day, 20:33:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3103, top5_acc: 0.5630, loss_cls: 4.2769, loss: 4.2769 2023-12-26 23:35:30,152 - pyskl - INFO - Epoch [82][3700/3746] lr: 4.271e-02, eta: 1 day, 20:32:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3183, top5_acc: 0.5733, loss_cls: 4.2747, loss: 4.2747 2023-12-26 23:35:59,962 - pyskl - INFO - Saving checkpoint at 82 epochs 2023-12-26 23:38:07,939 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-26 23:38:08,751 - pyskl - INFO - top1_acc 0.2466 top5_acc 0.4972 2023-12-26 23:38:08,751 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-26 23:38:08,799 - pyskl - INFO - mean_acc 0.2465 2023-12-26 23:38:08,807 - pyskl - INFO - Epoch(val) [82][309] top1_acc: 0.2466, top5_acc: 0.4972, mean_class_accuracy: 0.2465 2023-12-26 23:41:30,797 - pyskl - INFO - Epoch [83][100/3746] lr: 4.267e-02, eta: 1 day, 20:32:03, time: 2.020, data_time: 1.422, memory: 16177, top1_acc: 0.3342, top5_acc: 0.5878, loss_cls: 4.1798, loss: 4.1798 2023-12-26 23:42:30,896 - pyskl - INFO - Epoch [83][200/3746] lr: 4.264e-02, eta: 1 day, 20:30:58, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3187, top5_acc: 0.5691, loss_cls: 4.2575, loss: 4.2575 2023-12-26 23:43:30,614 - pyskl - INFO - Epoch [83][300/3746] lr: 4.261e-02, eta: 1 day, 20:29:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3166, top5_acc: 0.5786, loss_cls: 4.2431, loss: 4.2431 2023-12-26 23:44:30,641 - pyskl - INFO - Epoch [83][400/3746] lr: 4.259e-02, eta: 1 day, 20:28:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3142, top5_acc: 0.5795, loss_cls: 4.2207, loss: 4.2207 2023-12-26 23:45:30,378 - pyskl - INFO - Epoch [83][500/3746] lr: 4.256e-02, eta: 1 day, 20:27:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3237, top5_acc: 0.5759, loss_cls: 4.2323, loss: 4.2323 2023-12-26 23:46:30,104 - pyskl - INFO - Epoch [83][600/3746] lr: 4.253e-02, eta: 1 day, 20:26:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3158, top5_acc: 0.5755, loss_cls: 4.2107, loss: 4.2107 2023-12-26 23:47:29,427 - pyskl - INFO - Epoch [83][700/3746] lr: 4.250e-02, eta: 1 day, 20:25:29, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3200, top5_acc: 0.5720, loss_cls: 4.2519, loss: 4.2519 2023-12-26 23:48:28,984 - pyskl - INFO - Epoch [83][800/3746] lr: 4.247e-02, eta: 1 day, 20:24:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3217, top5_acc: 0.5831, loss_cls: 4.2234, loss: 4.2234 2023-12-26 23:49:28,639 - pyskl - INFO - Epoch [83][900/3746] lr: 4.245e-02, eta: 1 day, 20:23:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5828, loss_cls: 4.2317, loss: 4.2317 2023-12-26 23:50:28,266 - pyskl - INFO - Epoch [83][1000/3746] lr: 4.242e-02, eta: 1 day, 20:22:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3275, top5_acc: 0.5781, loss_cls: 4.2250, loss: 4.2250 2023-12-26 23:51:27,856 - pyskl - INFO - Epoch [83][1100/3746] lr: 4.239e-02, eta: 1 day, 20:21:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3097, top5_acc: 0.5737, loss_cls: 4.2530, loss: 4.2530 2023-12-26 23:52:27,470 - pyskl - INFO - Epoch [83][1200/3746] lr: 4.236e-02, eta: 1 day, 20:20:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3141, top5_acc: 0.5709, loss_cls: 4.2560, loss: 4.2560 2023-12-26 23:53:26,893 - pyskl - INFO - Epoch [83][1300/3746] lr: 4.234e-02, eta: 1 day, 20:18:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3223, top5_acc: 0.5777, loss_cls: 4.2265, loss: 4.2265 2023-12-26 23:54:27,583 - pyskl - INFO - Epoch [83][1400/3746] lr: 4.231e-02, eta: 1 day, 20:17:50, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3217, top5_acc: 0.5653, loss_cls: 4.2729, loss: 4.2729 2023-12-26 23:55:29,078 - pyskl - INFO - Epoch [83][1500/3746] lr: 4.228e-02, eta: 1 day, 20:16:46, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3187, top5_acc: 0.5637, loss_cls: 4.2594, loss: 4.2594 2023-12-26 23:56:29,180 - pyskl - INFO - Epoch [83][1600/3746] lr: 4.225e-02, eta: 1 day, 20:15:41, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3181, top5_acc: 0.5747, loss_cls: 4.2350, loss: 4.2350 2023-12-26 23:57:29,164 - pyskl - INFO - Epoch [83][1700/3746] lr: 4.223e-02, eta: 1 day, 20:14:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3088, top5_acc: 0.5745, loss_cls: 4.2804, loss: 4.2804 2023-12-26 23:58:28,843 - pyskl - INFO - Epoch [83][1800/3746] lr: 4.220e-02, eta: 1 day, 20:13:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5725, loss_cls: 4.2333, loss: 4.2333 2023-12-26 23:59:28,518 - pyskl - INFO - Epoch [83][1900/3746] lr: 4.217e-02, eta: 1 day, 20:12:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3241, top5_acc: 0.5839, loss_cls: 4.2256, loss: 4.2256 2023-12-27 00:00:27,981 - pyskl - INFO - Epoch [83][2000/3746] lr: 4.214e-02, eta: 1 day, 20:11:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3209, top5_acc: 0.5759, loss_cls: 4.2571, loss: 4.2571 2023-12-27 00:01:28,446 - pyskl - INFO - Epoch [83][2100/3746] lr: 4.212e-02, eta: 1 day, 20:10:13, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3181, top5_acc: 0.5786, loss_cls: 4.2617, loss: 4.2617 2023-12-27 00:02:28,125 - pyskl - INFO - Epoch [83][2200/3746] lr: 4.209e-02, eta: 1 day, 20:09:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3278, top5_acc: 0.5839, loss_cls: 4.2280, loss: 4.2280 2023-12-27 00:03:27,909 - pyskl - INFO - Epoch [83][2300/3746] lr: 4.206e-02, eta: 1 day, 20:08:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3106, top5_acc: 0.5616, loss_cls: 4.2988, loss: 4.2988 2023-12-27 00:04:27,531 - pyskl - INFO - Epoch [83][2400/3746] lr: 4.203e-02, eta: 1 day, 20:06:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5800, loss_cls: 4.2177, loss: 4.2177 2023-12-27 00:05:27,154 - pyskl - INFO - Epoch [83][2500/3746] lr: 4.201e-02, eta: 1 day, 20:05:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3145, top5_acc: 0.5708, loss_cls: 4.2635, loss: 4.2635 2023-12-27 00:06:26,606 - pyskl - INFO - Epoch [83][2600/3746] lr: 4.198e-02, eta: 1 day, 20:04:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3169, top5_acc: 0.5694, loss_cls: 4.2597, loss: 4.2597 2023-12-27 00:07:25,990 - pyskl - INFO - Epoch [83][2700/3746] lr: 4.195e-02, eta: 1 day, 20:03:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3211, top5_acc: 0.5756, loss_cls: 4.2262, loss: 4.2262 2023-12-27 00:08:25,520 - pyskl - INFO - Epoch [83][2800/3746] lr: 4.192e-02, eta: 1 day, 20:02:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5622, loss_cls: 4.2923, loss: 4.2923 2023-12-27 00:09:24,996 - pyskl - INFO - Epoch [83][2900/3746] lr: 4.190e-02, eta: 1 day, 20:01:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5772, loss_cls: 4.2437, loss: 4.2437 2023-12-27 00:10:24,759 - pyskl - INFO - Epoch [83][3000/3746] lr: 4.187e-02, eta: 1 day, 20:00:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3137, top5_acc: 0.5725, loss_cls: 4.2600, loss: 4.2600 2023-12-27 00:11:24,421 - pyskl - INFO - Epoch [83][3100/3746] lr: 4.184e-02, eta: 1 day, 19:59:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5713, loss_cls: 4.2443, loss: 4.2443 2023-12-27 00:12:23,780 - pyskl - INFO - Epoch [83][3200/3746] lr: 4.181e-02, eta: 1 day, 19:58:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3073, top5_acc: 0.5664, loss_cls: 4.3014, loss: 4.3014 2023-12-27 00:13:23,563 - pyskl - INFO - Epoch [83][3300/3746] lr: 4.178e-02, eta: 1 day, 19:57:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3147, top5_acc: 0.5767, loss_cls: 4.2399, loss: 4.2399 2023-12-27 00:14:23,213 - pyskl - INFO - Epoch [83][3400/3746] lr: 4.176e-02, eta: 1 day, 19:56:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3170, top5_acc: 0.5713, loss_cls: 4.2704, loss: 4.2704 2023-12-27 00:15:22,523 - pyskl - INFO - Epoch [83][3500/3746] lr: 4.173e-02, eta: 1 day, 19:54:54, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3211, top5_acc: 0.5737, loss_cls: 4.2432, loss: 4.2432 2023-12-27 00:16:21,838 - pyskl - INFO - Epoch [83][3600/3746] lr: 4.170e-02, eta: 1 day, 19:53:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3128, top5_acc: 0.5759, loss_cls: 4.2584, loss: 4.2584 2023-12-27 00:17:21,408 - pyskl - INFO - Epoch [83][3700/3746] lr: 4.167e-02, eta: 1 day, 19:52:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3230, top5_acc: 0.5759, loss_cls: 4.2383, loss: 4.2383 2023-12-27 00:17:51,108 - pyskl - INFO - Saving checkpoint at 83 epochs 2023-12-27 00:19:50,509 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 00:19:51,567 - pyskl - INFO - top1_acc 0.2430 top5_acc 0.4824 2023-12-27 00:19:51,567 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 00:19:51,614 - pyskl - INFO - mean_acc 0.2427 2023-12-27 00:19:51,624 - pyskl - INFO - Epoch(val) [83][309] top1_acc: 0.2430, top5_acc: 0.4824, mean_class_accuracy: 0.2427 2023-12-27 00:23:15,736 - pyskl - INFO - Epoch [84][100/3746] lr: 4.163e-02, eta: 1 day, 19:52:41, time: 2.041, data_time: 1.442, memory: 16177, top1_acc: 0.3305, top5_acc: 0.5800, loss_cls: 4.1801, loss: 4.1801 2023-12-27 00:24:15,827 - pyskl - INFO - Epoch [84][200/3746] lr: 4.161e-02, eta: 1 day, 19:51:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3297, top5_acc: 0.5861, loss_cls: 4.1942, loss: 4.1942 2023-12-27 00:25:15,780 - pyskl - INFO - Epoch [84][300/3746] lr: 4.158e-02, eta: 1 day, 19:50:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3234, top5_acc: 0.5839, loss_cls: 4.2075, loss: 4.2075 2023-12-27 00:26:15,868 - pyskl - INFO - Epoch [84][400/3746] lr: 4.155e-02, eta: 1 day, 19:49:25, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3258, top5_acc: 0.5922, loss_cls: 4.1780, loss: 4.1780 2023-12-27 00:27:15,358 - pyskl - INFO - Epoch [84][500/3746] lr: 4.152e-02, eta: 1 day, 19:48:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3336, top5_acc: 0.5856, loss_cls: 4.1913, loss: 4.1913 2023-12-27 00:28:14,785 - pyskl - INFO - Epoch [84][600/3746] lr: 4.150e-02, eta: 1 day, 19:47:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5823, loss_cls: 4.2188, loss: 4.2188 2023-12-27 00:29:14,278 - pyskl - INFO - Epoch [84][700/3746] lr: 4.147e-02, eta: 1 day, 19:46:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5864, loss_cls: 4.2202, loss: 4.2202 2023-12-27 00:30:14,170 - pyskl - INFO - Epoch [84][800/3746] lr: 4.144e-02, eta: 1 day, 19:45:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3231, top5_acc: 0.5833, loss_cls: 4.2099, loss: 4.2099 2023-12-27 00:31:13,968 - pyskl - INFO - Epoch [84][900/3746] lr: 4.141e-02, eta: 1 day, 19:43:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3261, top5_acc: 0.5752, loss_cls: 4.2248, loss: 4.2248 2023-12-27 00:32:13,698 - pyskl - INFO - Epoch [84][1000/3746] lr: 4.139e-02, eta: 1 day, 19:42:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3244, top5_acc: 0.5866, loss_cls: 4.2039, loss: 4.2039 2023-12-27 00:33:13,389 - pyskl - INFO - Epoch [84][1100/3746] lr: 4.136e-02, eta: 1 day, 19:41:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3223, top5_acc: 0.5848, loss_cls: 4.2324, loss: 4.2324 2023-12-27 00:34:13,026 - pyskl - INFO - Epoch [84][1200/3746] lr: 4.133e-02, eta: 1 day, 19:40:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3186, top5_acc: 0.5789, loss_cls: 4.2250, loss: 4.2250 2023-12-27 00:35:12,533 - pyskl - INFO - Epoch [84][1300/3746] lr: 4.130e-02, eta: 1 day, 19:39:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3287, top5_acc: 0.5837, loss_cls: 4.2264, loss: 4.2264 2023-12-27 00:36:13,205 - pyskl - INFO - Epoch [84][1400/3746] lr: 4.128e-02, eta: 1 day, 19:38:30, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3148, top5_acc: 0.5731, loss_cls: 4.2405, loss: 4.2405 2023-12-27 00:37:14,168 - pyskl - INFO - Epoch [84][1500/3746] lr: 4.125e-02, eta: 1 day, 19:37:25, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3241, top5_acc: 0.5827, loss_cls: 4.2157, loss: 4.2157 2023-12-27 00:38:14,508 - pyskl - INFO - Epoch [84][1600/3746] lr: 4.122e-02, eta: 1 day, 19:36:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3252, top5_acc: 0.5827, loss_cls: 4.2062, loss: 4.2062 2023-12-27 00:39:14,182 - pyskl - INFO - Epoch [84][1700/3746] lr: 4.119e-02, eta: 1 day, 19:35:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3059, top5_acc: 0.5664, loss_cls: 4.2900, loss: 4.2900 2023-12-27 00:40:13,877 - pyskl - INFO - Epoch [84][1800/3746] lr: 4.117e-02, eta: 1 day, 19:34:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5781, loss_cls: 4.2255, loss: 4.2255 2023-12-27 00:41:13,549 - pyskl - INFO - Epoch [84][1900/3746] lr: 4.114e-02, eta: 1 day, 19:33:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3212, top5_acc: 0.5775, loss_cls: 4.2239, loss: 4.2239 2023-12-27 00:42:12,908 - pyskl - INFO - Epoch [84][2000/3746] lr: 4.111e-02, eta: 1 day, 19:31:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3205, top5_acc: 0.5750, loss_cls: 4.2417, loss: 4.2417 2023-12-27 00:43:12,573 - pyskl - INFO - Epoch [84][2100/3746] lr: 4.108e-02, eta: 1 day, 19:30:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3117, top5_acc: 0.5616, loss_cls: 4.2940, loss: 4.2940 2023-12-27 00:44:12,439 - pyskl - INFO - Epoch [84][2200/3746] lr: 4.106e-02, eta: 1 day, 19:29:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3200, top5_acc: 0.5745, loss_cls: 4.2103, loss: 4.2103 2023-12-27 00:45:12,059 - pyskl - INFO - Epoch [84][2300/3746] lr: 4.103e-02, eta: 1 day, 19:28:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3212, top5_acc: 0.5644, loss_cls: 4.2494, loss: 4.2494 2023-12-27 00:46:12,117 - pyskl - INFO - Epoch [84][2400/3746] lr: 4.100e-02, eta: 1 day, 19:27:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5803, loss_cls: 4.2420, loss: 4.2420 2023-12-27 00:47:11,311 - pyskl - INFO - Epoch [84][2500/3746] lr: 4.097e-02, eta: 1 day, 19:26:30, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3278, top5_acc: 0.5770, loss_cls: 4.2293, loss: 4.2293 2023-12-27 00:48:10,939 - pyskl - INFO - Epoch [84][2600/3746] lr: 4.095e-02, eta: 1 day, 19:25:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3250, top5_acc: 0.5737, loss_cls: 4.2075, loss: 4.2075 2023-12-27 00:49:10,666 - pyskl - INFO - Epoch [84][2700/3746] lr: 4.092e-02, eta: 1 day, 19:24:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5795, loss_cls: 4.2510, loss: 4.2510 2023-12-27 00:50:10,110 - pyskl - INFO - Epoch [84][2800/3746] lr: 4.089e-02, eta: 1 day, 19:23:13, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3284, top5_acc: 0.5781, loss_cls: 4.2404, loss: 4.2404 2023-12-27 00:51:09,509 - pyskl - INFO - Epoch [84][2900/3746] lr: 4.086e-02, eta: 1 day, 19:22:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3167, top5_acc: 0.5753, loss_cls: 4.2479, loss: 4.2479 2023-12-27 00:52:09,047 - pyskl - INFO - Epoch [84][3000/3746] lr: 4.084e-02, eta: 1 day, 19:21:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3270, top5_acc: 0.5822, loss_cls: 4.2173, loss: 4.2173 2023-12-27 00:53:08,426 - pyskl - INFO - Epoch [84][3100/3746] lr: 4.081e-02, eta: 1 day, 19:19:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5723, loss_cls: 4.2599, loss: 4.2599 2023-12-27 00:54:08,130 - pyskl - INFO - Epoch [84][3200/3746] lr: 4.078e-02, eta: 1 day, 19:18:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3298, top5_acc: 0.5850, loss_cls: 4.2071, loss: 4.2071 2023-12-27 00:55:07,625 - pyskl - INFO - Epoch [84][3300/3746] lr: 4.075e-02, eta: 1 day, 19:17:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3212, top5_acc: 0.5777, loss_cls: 4.2447, loss: 4.2447 2023-12-27 00:56:06,828 - pyskl - INFO - Epoch [84][3400/3746] lr: 4.073e-02, eta: 1 day, 19:16:39, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3161, top5_acc: 0.5691, loss_cls: 4.2598, loss: 4.2598 2023-12-27 00:57:06,591 - pyskl - INFO - Epoch [84][3500/3746] lr: 4.070e-02, eta: 1 day, 19:15:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3155, top5_acc: 0.5781, loss_cls: 4.2368, loss: 4.2368 2023-12-27 00:58:07,119 - pyskl - INFO - Epoch [84][3600/3746] lr: 4.067e-02, eta: 1 day, 19:14:29, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3209, top5_acc: 0.5741, loss_cls: 4.2528, loss: 4.2528 2023-12-27 00:59:06,777 - pyskl - INFO - Epoch [84][3700/3746] lr: 4.064e-02, eta: 1 day, 19:13:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3125, top5_acc: 0.5633, loss_cls: 4.2951, loss: 4.2951 2023-12-27 00:59:36,493 - pyskl - INFO - Saving checkpoint at 84 epochs 2023-12-27 01:01:37,384 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 01:01:38,491 - pyskl - INFO - top1_acc 0.2599 top5_acc 0.5078 2023-12-27 01:01:38,492 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 01:01:38,537 - pyskl - INFO - mean_acc 0.2598 2023-12-27 01:01:38,543 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_75.pth was removed 2023-12-27 01:01:38,834 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_84.pth. 2023-12-27 01:01:38,835 - pyskl - INFO - Best top1_acc is 0.2599 at 84 epoch. 2023-12-27 01:01:38,852 - pyskl - INFO - Epoch(val) [84][309] top1_acc: 0.2599, top5_acc: 0.5078, mean_class_accuracy: 0.2598 2023-12-27 01:04:59,464 - pyskl - INFO - Epoch [85][100/3746] lr: 4.060e-02, eta: 1 day, 19:13:17, time: 2.006, data_time: 1.406, memory: 16177, top1_acc: 0.3187, top5_acc: 0.5887, loss_cls: 4.2114, loss: 4.2114 2023-12-27 01:05:59,868 - pyskl - INFO - Epoch [85][200/3746] lr: 4.058e-02, eta: 1 day, 19:12:12, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3278, top5_acc: 0.5798, loss_cls: 4.1924, loss: 4.1924 2023-12-27 01:06:59,344 - pyskl - INFO - Epoch [85][300/3746] lr: 4.055e-02, eta: 1 day, 19:11:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5777, loss_cls: 4.2283, loss: 4.2283 2023-12-27 01:07:58,995 - pyskl - INFO - Epoch [85][400/3746] lr: 4.052e-02, eta: 1 day, 19:10:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3262, top5_acc: 0.5808, loss_cls: 4.2089, loss: 4.2089 2023-12-27 01:08:58,522 - pyskl - INFO - Epoch [85][500/3746] lr: 4.049e-02, eta: 1 day, 19:08:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3308, top5_acc: 0.5894, loss_cls: 4.1839, loss: 4.1839 2023-12-27 01:09:58,831 - pyskl - INFO - Epoch [85][600/3746] lr: 4.047e-02, eta: 1 day, 19:07:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3258, top5_acc: 0.5819, loss_cls: 4.2081, loss: 4.2081 2023-12-27 01:10:58,760 - pyskl - INFO - Epoch [85][700/3746] lr: 4.044e-02, eta: 1 day, 19:06:45, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3273, top5_acc: 0.5887, loss_cls: 4.1943, loss: 4.1943 2023-12-27 01:11:58,459 - pyskl - INFO - Epoch [85][800/3746] lr: 4.041e-02, eta: 1 day, 19:05:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3380, top5_acc: 0.5952, loss_cls: 4.1790, loss: 4.1790 2023-12-27 01:12:58,498 - pyskl - INFO - Epoch [85][900/3746] lr: 4.038e-02, eta: 1 day, 19:04:34, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3337, top5_acc: 0.5858, loss_cls: 4.2034, loss: 4.2034 2023-12-27 01:13:58,068 - pyskl - INFO - Epoch [85][1000/3746] lr: 4.036e-02, eta: 1 day, 19:03:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3306, top5_acc: 0.5797, loss_cls: 4.2173, loss: 4.2173 2023-12-27 01:14:57,560 - pyskl - INFO - Epoch [85][1100/3746] lr: 4.033e-02, eta: 1 day, 19:02:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3191, top5_acc: 0.5778, loss_cls: 4.2335, loss: 4.2335 2023-12-27 01:15:57,172 - pyskl - INFO - Epoch [85][1200/3746] lr: 4.030e-02, eta: 1 day, 19:01:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3175, top5_acc: 0.5764, loss_cls: 4.2420, loss: 4.2420 2023-12-27 01:16:56,719 - pyskl - INFO - Epoch [85][1300/3746] lr: 4.027e-02, eta: 1 day, 19:00:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3241, top5_acc: 0.5814, loss_cls: 4.2245, loss: 4.2245 2023-12-27 01:17:56,643 - pyskl - INFO - Epoch [85][1400/3746] lr: 4.025e-02, eta: 1 day, 18:59:06, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3153, top5_acc: 0.5722, loss_cls: 4.2666, loss: 4.2666 2023-12-27 01:18:57,385 - pyskl - INFO - Epoch [85][1500/3746] lr: 4.022e-02, eta: 1 day, 18:58:02, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3280, top5_acc: 0.5836, loss_cls: 4.2014, loss: 4.2014 2023-12-27 01:19:57,955 - pyskl - INFO - Epoch [85][1600/3746] lr: 4.019e-02, eta: 1 day, 18:56:57, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5767, loss_cls: 4.2488, loss: 4.2488 2023-12-27 01:20:57,474 - pyskl - INFO - Epoch [85][1700/3746] lr: 4.016e-02, eta: 1 day, 18:55:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3261, top5_acc: 0.5880, loss_cls: 4.2140, loss: 4.2140 2023-12-27 01:21:57,409 - pyskl - INFO - Epoch [85][1800/3746] lr: 4.014e-02, eta: 1 day, 18:54:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3286, top5_acc: 0.5787, loss_cls: 4.2177, loss: 4.2177 2023-12-27 01:22:56,853 - pyskl - INFO - Epoch [85][1900/3746] lr: 4.011e-02, eta: 1 day, 18:53:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3111, top5_acc: 0.5680, loss_cls: 4.2679, loss: 4.2679 2023-12-27 01:23:56,175 - pyskl - INFO - Epoch [85][2000/3746] lr: 4.008e-02, eta: 1 day, 18:52:35, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3280, top5_acc: 0.5873, loss_cls: 4.2020, loss: 4.2020 2023-12-27 01:24:55,626 - pyskl - INFO - Epoch [85][2100/3746] lr: 4.006e-02, eta: 1 day, 18:51:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3300, top5_acc: 0.5866, loss_cls: 4.1986, loss: 4.1986 2023-12-27 01:25:55,416 - pyskl - INFO - Epoch [85][2200/3746] lr: 4.003e-02, eta: 1 day, 18:50:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3233, top5_acc: 0.5775, loss_cls: 4.2405, loss: 4.2405 2023-12-27 01:26:55,052 - pyskl - INFO - Epoch [85][2300/3746] lr: 4.000e-02, eta: 1 day, 18:49:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3094, top5_acc: 0.5697, loss_cls: 4.2618, loss: 4.2618 2023-12-27 01:27:54,761 - pyskl - INFO - Epoch [85][2400/3746] lr: 3.997e-02, eta: 1 day, 18:48:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3234, top5_acc: 0.5817, loss_cls: 4.2082, loss: 4.2082 2023-12-27 01:28:54,381 - pyskl - INFO - Epoch [85][2500/3746] lr: 3.995e-02, eta: 1 day, 18:47:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3202, top5_acc: 0.5786, loss_cls: 4.2511, loss: 4.2511 2023-12-27 01:29:53,535 - pyskl - INFO - Epoch [85][2600/3746] lr: 3.992e-02, eta: 1 day, 18:46:01, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3119, top5_acc: 0.5717, loss_cls: 4.2770, loss: 4.2770 2023-12-27 01:30:53,498 - pyskl - INFO - Epoch [85][2700/3746] lr: 3.989e-02, eta: 1 day, 18:44:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3191, top5_acc: 0.5709, loss_cls: 4.2387, loss: 4.2387 2023-12-27 01:31:53,506 - pyskl - INFO - Epoch [85][2800/3746] lr: 3.986e-02, eta: 1 day, 18:43:51, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3325, top5_acc: 0.5764, loss_cls: 4.2159, loss: 4.2159 2023-12-27 01:32:52,996 - pyskl - INFO - Epoch [85][2900/3746] lr: 3.984e-02, eta: 1 day, 18:42:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3287, top5_acc: 0.5798, loss_cls: 4.2084, loss: 4.2084 2023-12-27 01:33:52,422 - pyskl - INFO - Epoch [85][3000/3746] lr: 3.981e-02, eta: 1 day, 18:41:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5794, loss_cls: 4.2115, loss: 4.2115 2023-12-27 01:34:51,847 - pyskl - INFO - Epoch [85][3100/3746] lr: 3.978e-02, eta: 1 day, 18:40:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3184, top5_acc: 0.5772, loss_cls: 4.2330, loss: 4.2330 2023-12-27 01:35:51,530 - pyskl - INFO - Epoch [85][3200/3746] lr: 3.975e-02, eta: 1 day, 18:39:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5745, loss_cls: 4.2342, loss: 4.2342 2023-12-27 01:36:51,082 - pyskl - INFO - Epoch [85][3300/3746] lr: 3.973e-02, eta: 1 day, 18:38:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5772, loss_cls: 4.1976, loss: 4.1976 2023-12-27 01:37:50,664 - pyskl - INFO - Epoch [85][3400/3746] lr: 3.970e-02, eta: 1 day, 18:37:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3295, top5_acc: 0.5867, loss_cls: 4.1941, loss: 4.1941 2023-12-27 01:38:50,188 - pyskl - INFO - Epoch [85][3500/3746] lr: 3.967e-02, eta: 1 day, 18:36:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3287, top5_acc: 0.5867, loss_cls: 4.1887, loss: 4.1887 2023-12-27 01:39:49,745 - pyskl - INFO - Epoch [85][3600/3746] lr: 3.964e-02, eta: 1 day, 18:35:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5722, loss_cls: 4.2383, loss: 4.2383 2023-12-27 01:40:49,277 - pyskl - INFO - Epoch [85][3700/3746] lr: 3.962e-02, eta: 1 day, 18:34:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3156, top5_acc: 0.5809, loss_cls: 4.2491, loss: 4.2491 2023-12-27 01:41:19,166 - pyskl - INFO - Saving checkpoint at 85 epochs 2023-12-27 01:43:19,157 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 01:43:20,226 - pyskl - INFO - top1_acc 0.2231 top5_acc 0.4537 2023-12-27 01:43:20,226 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 01:43:20,268 - pyskl - INFO - mean_acc 0.2230 2023-12-27 01:43:20,278 - pyskl - INFO - Epoch(val) [85][309] top1_acc: 0.2231, top5_acc: 0.4537, mean_class_accuracy: 0.2230 2023-12-27 01:46:40,932 - pyskl - INFO - Epoch [86][100/3746] lr: 3.958e-02, eta: 1 day, 18:33:52, time: 2.006, data_time: 1.402, memory: 16177, top1_acc: 0.3258, top5_acc: 0.5925, loss_cls: 4.1776, loss: 4.1776 2023-12-27 01:47:41,377 - pyskl - INFO - Epoch [86][200/3746] lr: 3.955e-02, eta: 1 day, 18:32:48, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3448, top5_acc: 0.5969, loss_cls: 4.1097, loss: 4.1097 2023-12-27 01:48:41,622 - pyskl - INFO - Epoch [86][300/3746] lr: 3.952e-02, eta: 1 day, 18:31:43, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3327, top5_acc: 0.5923, loss_cls: 4.1722, loss: 4.1722 2023-12-27 01:49:41,127 - pyskl - INFO - Epoch [86][400/3746] lr: 3.950e-02, eta: 1 day, 18:30:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5784, loss_cls: 4.2199, loss: 4.2199 2023-12-27 01:50:40,686 - pyskl - INFO - Epoch [86][500/3746] lr: 3.947e-02, eta: 1 day, 18:29:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3158, top5_acc: 0.5867, loss_cls: 4.2242, loss: 4.2242 2023-12-27 01:51:40,123 - pyskl - INFO - Epoch [86][600/3746] lr: 3.944e-02, eta: 1 day, 18:28:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3237, top5_acc: 0.5922, loss_cls: 4.1969, loss: 4.1969 2023-12-27 01:52:39,561 - pyskl - INFO - Epoch [86][700/3746] lr: 3.941e-02, eta: 1 day, 18:27:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3305, top5_acc: 0.5855, loss_cls: 4.1785, loss: 4.1785 2023-12-27 01:53:38,737 - pyskl - INFO - Epoch [86][800/3746] lr: 3.939e-02, eta: 1 day, 18:26:14, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3262, top5_acc: 0.5898, loss_cls: 4.1872, loss: 4.1872 2023-12-27 01:54:38,287 - pyskl - INFO - Epoch [86][900/3746] lr: 3.936e-02, eta: 1 day, 18:25:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3325, top5_acc: 0.5828, loss_cls: 4.1820, loss: 4.1820 2023-12-27 01:55:38,094 - pyskl - INFO - Epoch [86][1000/3746] lr: 3.933e-02, eta: 1 day, 18:24:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3250, top5_acc: 0.5778, loss_cls: 4.2182, loss: 4.2182 2023-12-27 01:56:37,670 - pyskl - INFO - Epoch [86][1100/3746] lr: 3.930e-02, eta: 1 day, 18:22:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3164, top5_acc: 0.5741, loss_cls: 4.2436, loss: 4.2436 2023-12-27 01:57:37,815 - pyskl - INFO - Epoch [86][1200/3746] lr: 3.928e-02, eta: 1 day, 18:21:53, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3252, top5_acc: 0.5787, loss_cls: 4.1824, loss: 4.1824 2023-12-27 01:58:37,332 - pyskl - INFO - Epoch [86][1300/3746] lr: 3.925e-02, eta: 1 day, 18:20:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3303, top5_acc: 0.5837, loss_cls: 4.1823, loss: 4.1823 2023-12-27 01:59:37,410 - pyskl - INFO - Epoch [86][1400/3746] lr: 3.922e-02, eta: 1 day, 18:19:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3233, top5_acc: 0.5839, loss_cls: 4.2249, loss: 4.2249 2023-12-27 02:00:37,655 - pyskl - INFO - Epoch [86][1500/3746] lr: 3.919e-02, eta: 1 day, 18:18:37, time: 0.602, data_time: 0.001, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5814, loss_cls: 4.2065, loss: 4.2065 2023-12-27 02:01:38,421 - pyskl - INFO - Epoch [86][1600/3746] lr: 3.917e-02, eta: 1 day, 18:17:33, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3323, top5_acc: 0.5881, loss_cls: 4.1748, loss: 4.1748 2023-12-27 02:02:38,117 - pyskl - INFO - Epoch [86][1700/3746] lr: 3.914e-02, eta: 1 day, 18:16:27, time: 0.597, data_time: 0.001, memory: 16177, top1_acc: 0.3237, top5_acc: 0.5775, loss_cls: 4.2277, loss: 4.2277 2023-12-27 02:03:38,201 - pyskl - INFO - Epoch [86][1800/3746] lr: 3.911e-02, eta: 1 day, 18:15:22, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3317, top5_acc: 0.5966, loss_cls: 4.1735, loss: 4.1735 2023-12-27 02:04:37,692 - pyskl - INFO - Epoch [86][1900/3746] lr: 3.909e-02, eta: 1 day, 18:14:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3289, top5_acc: 0.5923, loss_cls: 4.1767, loss: 4.1767 2023-12-27 02:05:37,294 - pyskl - INFO - Epoch [86][2000/3746] lr: 3.906e-02, eta: 1 day, 18:13:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3292, top5_acc: 0.5763, loss_cls: 4.1961, loss: 4.1961 2023-12-27 02:06:36,707 - pyskl - INFO - Epoch [86][2100/3746] lr: 3.903e-02, eta: 1 day, 18:12:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3322, top5_acc: 0.5902, loss_cls: 4.1797, loss: 4.1797 2023-12-27 02:07:36,261 - pyskl - INFO - Epoch [86][2200/3746] lr: 3.900e-02, eta: 1 day, 18:11:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3200, top5_acc: 0.5861, loss_cls: 4.2322, loss: 4.2322 2023-12-27 02:08:36,014 - pyskl - INFO - Epoch [86][2300/3746] lr: 3.898e-02, eta: 1 day, 18:09:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3339, top5_acc: 0.5852, loss_cls: 4.1903, loss: 4.1903 2023-12-27 02:09:35,594 - pyskl - INFO - Epoch [86][2400/3746] lr: 3.895e-02, eta: 1 day, 18:08:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3156, top5_acc: 0.5766, loss_cls: 4.2317, loss: 4.2317 2023-12-27 02:10:34,995 - pyskl - INFO - Epoch [86][2500/3746] lr: 3.892e-02, eta: 1 day, 18:07:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5784, loss_cls: 4.2212, loss: 4.2212 2023-12-27 02:11:34,607 - pyskl - INFO - Epoch [86][2600/3746] lr: 3.889e-02, eta: 1 day, 18:06:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3158, top5_acc: 0.5781, loss_cls: 4.2253, loss: 4.2253 2023-12-27 02:12:34,067 - pyskl - INFO - Epoch [86][2700/3746] lr: 3.887e-02, eta: 1 day, 18:05:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3197, top5_acc: 0.5722, loss_cls: 4.2389, loss: 4.2389 2023-12-27 02:13:33,383 - pyskl - INFO - Epoch [86][2800/3746] lr: 3.884e-02, eta: 1 day, 18:04:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3227, top5_acc: 0.5952, loss_cls: 4.2230, loss: 4.2230 2023-12-27 02:14:32,920 - pyskl - INFO - Epoch [86][2900/3746] lr: 3.881e-02, eta: 1 day, 18:03:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3286, top5_acc: 0.5883, loss_cls: 4.2007, loss: 4.2007 2023-12-27 02:15:32,821 - pyskl - INFO - Epoch [86][3000/3746] lr: 3.879e-02, eta: 1 day, 18:02:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3308, top5_acc: 0.5914, loss_cls: 4.1901, loss: 4.1901 2023-12-27 02:16:32,253 - pyskl - INFO - Epoch [86][3100/3746] lr: 3.876e-02, eta: 1 day, 18:01:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3209, top5_acc: 0.5650, loss_cls: 4.2697, loss: 4.2697 2023-12-27 02:17:31,856 - pyskl - INFO - Epoch [86][3200/3746] lr: 3.873e-02, eta: 1 day, 18:00:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3289, top5_acc: 0.5945, loss_cls: 4.1689, loss: 4.1689 2023-12-27 02:18:31,353 - pyskl - INFO - Epoch [86][3300/3746] lr: 3.870e-02, eta: 1 day, 17:59:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3248, top5_acc: 0.5852, loss_cls: 4.2024, loss: 4.2024 2023-12-27 02:19:30,991 - pyskl - INFO - Epoch [86][3400/3746] lr: 3.868e-02, eta: 1 day, 17:57:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3223, top5_acc: 0.5802, loss_cls: 4.2353, loss: 4.2353 2023-12-27 02:20:30,621 - pyskl - INFO - Epoch [86][3500/3746] lr: 3.865e-02, eta: 1 day, 17:56:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3270, top5_acc: 0.5816, loss_cls: 4.2271, loss: 4.2271 2023-12-27 02:21:30,109 - pyskl - INFO - Epoch [86][3600/3746] lr: 3.862e-02, eta: 1 day, 17:55:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5744, loss_cls: 4.2499, loss: 4.2499 2023-12-27 02:22:29,986 - pyskl - INFO - Epoch [86][3700/3746] lr: 3.860e-02, eta: 1 day, 17:54:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5777, loss_cls: 4.2182, loss: 4.2182 2023-12-27 02:22:59,653 - pyskl - INFO - Saving checkpoint at 86 epochs 2023-12-27 02:24:57,811 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 02:24:58,591 - pyskl - INFO - top1_acc 0.2694 top5_acc 0.5174 2023-12-27 02:24:58,591 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 02:24:58,623 - pyskl - INFO - mean_acc 0.2692 2023-12-27 02:24:58,628 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_84.pth was removed 2023-12-27 02:24:58,851 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. 2023-12-27 02:24:58,851 - pyskl - INFO - Best top1_acc is 0.2694 at 86 epoch. 2023-12-27 02:24:58,859 - pyskl - INFO - Epoch(val) [86][309] top1_acc: 0.2694, top5_acc: 0.5174, mean_class_accuracy: 0.2692 2023-12-27 02:28:11,451 - pyskl - INFO - Epoch [87][100/3746] lr: 3.856e-02, eta: 1 day, 17:54:22, time: 1.926, data_time: 1.329, memory: 16177, top1_acc: 0.3412, top5_acc: 0.6008, loss_cls: 4.1241, loss: 4.1241 2023-12-27 02:29:11,712 - pyskl - INFO - Epoch [87][200/3746] lr: 3.853e-02, eta: 1 day, 17:53:17, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3333, top5_acc: 0.5808, loss_cls: 4.2103, loss: 4.2103 2023-12-27 02:30:11,270 - pyskl - INFO - Epoch [87][300/3746] lr: 3.850e-02, eta: 1 day, 17:52:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3295, top5_acc: 0.5872, loss_cls: 4.1959, loss: 4.1959 2023-12-27 02:31:11,036 - pyskl - INFO - Epoch [87][400/3746] lr: 3.847e-02, eta: 1 day, 17:51:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3352, top5_acc: 0.5914, loss_cls: 4.1664, loss: 4.1664 2023-12-27 02:32:10,988 - pyskl - INFO - Epoch [87][500/3746] lr: 3.845e-02, eta: 1 day, 17:50:01, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3291, top5_acc: 0.5895, loss_cls: 4.1905, loss: 4.1905 2023-12-27 02:33:10,923 - pyskl - INFO - Epoch [87][600/3746] lr: 3.842e-02, eta: 1 day, 17:48:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3327, top5_acc: 0.5961, loss_cls: 4.1732, loss: 4.1732 2023-12-27 02:34:10,778 - pyskl - INFO - Epoch [87][700/3746] lr: 3.839e-02, eta: 1 day, 17:47:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3262, top5_acc: 0.5850, loss_cls: 4.2114, loss: 4.2114 2023-12-27 02:35:10,876 - pyskl - INFO - Epoch [87][800/3746] lr: 3.837e-02, eta: 1 day, 17:46:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3289, top5_acc: 0.5811, loss_cls: 4.1758, loss: 4.1758 2023-12-27 02:36:10,688 - pyskl - INFO - Epoch [87][900/3746] lr: 3.834e-02, eta: 1 day, 17:45:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3259, top5_acc: 0.5894, loss_cls: 4.2206, loss: 4.2206 2023-12-27 02:37:11,240 - pyskl - INFO - Epoch [87][1000/3746] lr: 3.831e-02, eta: 1 day, 17:44:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3300, top5_acc: 0.5820, loss_cls: 4.2107, loss: 4.2107 2023-12-27 02:38:12,220 - pyskl - INFO - Epoch [87][1100/3746] lr: 3.828e-02, eta: 1 day, 17:43:31, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3377, top5_acc: 0.5889, loss_cls: 4.1496, loss: 4.1496 2023-12-27 02:39:12,663 - pyskl - INFO - Epoch [87][1200/3746] lr: 3.826e-02, eta: 1 day, 17:42:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3337, top5_acc: 0.5880, loss_cls: 4.1867, loss: 4.1867 2023-12-27 02:40:13,392 - pyskl - INFO - Epoch [87][1300/3746] lr: 3.823e-02, eta: 1 day, 17:41:21, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3372, top5_acc: 0.5861, loss_cls: 4.1668, loss: 4.1668 2023-12-27 02:41:14,529 - pyskl - INFO - Epoch [87][1400/3746] lr: 3.820e-02, eta: 1 day, 17:40:17, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3206, top5_acc: 0.5772, loss_cls: 4.2176, loss: 4.2176 2023-12-27 02:42:15,227 - pyskl - INFO - Epoch [87][1500/3746] lr: 3.817e-02, eta: 1 day, 17:39:13, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3291, top5_acc: 0.5864, loss_cls: 4.1698, loss: 4.1698 2023-12-27 02:43:16,846 - pyskl - INFO - Epoch [87][1600/3746] lr: 3.815e-02, eta: 1 day, 17:38:09, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5931, loss_cls: 4.1634, loss: 4.1634 2023-12-27 02:44:16,456 - pyskl - INFO - Epoch [87][1700/3746] lr: 3.812e-02, eta: 1 day, 17:37:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5830, loss_cls: 4.2162, loss: 4.2162 2023-12-27 02:45:16,438 - pyskl - INFO - Epoch [87][1800/3746] lr: 3.809e-02, eta: 1 day, 17:35:58, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3161, top5_acc: 0.5744, loss_cls: 4.2417, loss: 4.2417 2023-12-27 02:46:16,620 - pyskl - INFO - Epoch [87][1900/3746] lr: 3.807e-02, eta: 1 day, 17:34:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3317, top5_acc: 0.5836, loss_cls: 4.2062, loss: 4.2062 2023-12-27 02:47:15,924 - pyskl - INFO - Epoch [87][2000/3746] lr: 3.804e-02, eta: 1 day, 17:33:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3244, top5_acc: 0.5813, loss_cls: 4.2022, loss: 4.2022 2023-12-27 02:48:15,626 - pyskl - INFO - Epoch [87][2100/3746] lr: 3.801e-02, eta: 1 day, 17:32:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3225, top5_acc: 0.5767, loss_cls: 4.2147, loss: 4.2147 2023-12-27 02:49:15,186 - pyskl - INFO - Epoch [87][2200/3746] lr: 3.798e-02, eta: 1 day, 17:31:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3298, top5_acc: 0.5831, loss_cls: 4.2018, loss: 4.2018 2023-12-27 02:50:15,647 - pyskl - INFO - Epoch [87][2300/3746] lr: 3.796e-02, eta: 1 day, 17:30:32, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3283, top5_acc: 0.5878, loss_cls: 4.1994, loss: 4.1994 2023-12-27 02:51:16,493 - pyskl - INFO - Epoch [87][2400/3746] lr: 3.793e-02, eta: 1 day, 17:29:28, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3245, top5_acc: 0.5719, loss_cls: 4.2210, loss: 4.2210 2023-12-27 02:52:16,959 - pyskl - INFO - Epoch [87][2500/3746] lr: 3.790e-02, eta: 1 day, 17:28:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3347, top5_acc: 0.5930, loss_cls: 4.1546, loss: 4.1546 2023-12-27 02:53:16,198 - pyskl - INFO - Epoch [87][2600/3746] lr: 3.788e-02, eta: 1 day, 17:27:17, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3248, top5_acc: 0.5920, loss_cls: 4.1839, loss: 4.1839 2023-12-27 02:54:16,523 - pyskl - INFO - Epoch [87][2700/3746] lr: 3.785e-02, eta: 1 day, 17:26:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3295, top5_acc: 0.5948, loss_cls: 4.1826, loss: 4.1826 2023-12-27 02:55:16,236 - pyskl - INFO - Epoch [87][2800/3746] lr: 3.782e-02, eta: 1 day, 17:25:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5798, loss_cls: 4.2150, loss: 4.2150 2023-12-27 02:56:17,275 - pyskl - INFO - Epoch [87][2900/3746] lr: 3.779e-02, eta: 1 day, 17:24:03, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3292, top5_acc: 0.5891, loss_cls: 4.1917, loss: 4.1917 2023-12-27 02:57:17,749 - pyskl - INFO - Epoch [87][3000/3746] lr: 3.777e-02, eta: 1 day, 17:22:58, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3258, top5_acc: 0.5858, loss_cls: 4.1912, loss: 4.1912 2023-12-27 02:58:17,887 - pyskl - INFO - Epoch [87][3100/3746] lr: 3.774e-02, eta: 1 day, 17:21:53, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3283, top5_acc: 0.5845, loss_cls: 4.2111, loss: 4.2111 2023-12-27 02:59:17,853 - pyskl - INFO - Epoch [87][3200/3746] lr: 3.771e-02, eta: 1 day, 17:20:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3411, top5_acc: 0.5884, loss_cls: 4.1673, loss: 4.1673 2023-12-27 03:00:17,417 - pyskl - INFO - Epoch [87][3300/3746] lr: 3.769e-02, eta: 1 day, 17:19:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5869, loss_cls: 4.1812, loss: 4.1812 2023-12-27 03:01:17,135 - pyskl - INFO - Epoch [87][3400/3746] lr: 3.766e-02, eta: 1 day, 17:18:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3333, top5_acc: 0.5980, loss_cls: 4.1580, loss: 4.1580 2023-12-27 03:02:17,229 - pyskl - INFO - Epoch [87][3500/3746] lr: 3.763e-02, eta: 1 day, 17:17:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3206, top5_acc: 0.5730, loss_cls: 4.2606, loss: 4.2606 2023-12-27 03:03:16,846 - pyskl - INFO - Epoch [87][3600/3746] lr: 3.761e-02, eta: 1 day, 17:16:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3275, top5_acc: 0.5831, loss_cls: 4.2189, loss: 4.2189 2023-12-27 03:04:16,491 - pyskl - INFO - Epoch [87][3700/3746] lr: 3.758e-02, eta: 1 day, 17:15:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3122, top5_acc: 0.5809, loss_cls: 4.2361, loss: 4.2361 2023-12-27 03:04:47,495 - pyskl - INFO - Saving checkpoint at 87 epochs 2023-12-27 03:06:48,628 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 03:06:49,688 - pyskl - INFO - top1_acc 0.2638 top5_acc 0.5127 2023-12-27 03:06:49,688 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 03:06:49,727 - pyskl - INFO - mean_acc 0.2636 2023-12-27 03:06:49,738 - pyskl - INFO - Epoch(val) [87][309] top1_acc: 0.2638, top5_acc: 0.5127, mean_class_accuracy: 0.2636 2023-12-27 03:10:05,661 - pyskl - INFO - Epoch [88][100/3746] lr: 3.754e-02, eta: 1 day, 17:15:05, time: 1.959, data_time: 1.358, memory: 16177, top1_acc: 0.3491, top5_acc: 0.6108, loss_cls: 4.0727, loss: 4.0727 2023-12-27 03:11:06,154 - pyskl - INFO - Epoch [88][200/3746] lr: 3.751e-02, eta: 1 day, 17:14:01, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3352, top5_acc: 0.5952, loss_cls: 4.1617, loss: 4.1617 2023-12-27 03:12:06,044 - pyskl - INFO - Epoch [88][300/3746] lr: 3.748e-02, eta: 1 day, 17:12:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3370, top5_acc: 0.5938, loss_cls: 4.1341, loss: 4.1341 2023-12-27 03:13:05,812 - pyskl - INFO - Epoch [88][400/3746] lr: 3.746e-02, eta: 1 day, 17:11:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3323, top5_acc: 0.5847, loss_cls: 4.1616, loss: 4.1616 2023-12-27 03:14:05,384 - pyskl - INFO - Epoch [88][500/3746] lr: 3.743e-02, eta: 1 day, 17:10:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5780, loss_cls: 4.2069, loss: 4.2069 2023-12-27 03:15:04,996 - pyskl - INFO - Epoch [88][600/3746] lr: 3.740e-02, eta: 1 day, 17:09:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3241, top5_acc: 0.5858, loss_cls: 4.1587, loss: 4.1587 2023-12-27 03:16:04,359 - pyskl - INFO - Epoch [88][700/3746] lr: 3.738e-02, eta: 1 day, 17:08:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3341, top5_acc: 0.5959, loss_cls: 4.1462, loss: 4.1462 2023-12-27 03:17:03,828 - pyskl - INFO - Epoch [88][800/3746] lr: 3.735e-02, eta: 1 day, 17:07:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5956, loss_cls: 4.1484, loss: 4.1484 2023-12-27 03:18:03,286 - pyskl - INFO - Epoch [88][900/3746] lr: 3.732e-02, eta: 1 day, 17:06:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5811, loss_cls: 4.2222, loss: 4.2222 2023-12-27 03:19:03,132 - pyskl - INFO - Epoch [88][1000/3746] lr: 3.730e-02, eta: 1 day, 17:05:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3278, top5_acc: 0.5961, loss_cls: 4.1508, loss: 4.1508 2023-12-27 03:20:02,692 - pyskl - INFO - Epoch [88][1100/3746] lr: 3.727e-02, eta: 1 day, 17:04:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3211, top5_acc: 0.5895, loss_cls: 4.2008, loss: 4.2008 2023-12-27 03:21:02,267 - pyskl - INFO - Epoch [88][1200/3746] lr: 3.724e-02, eta: 1 day, 17:03:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5852, loss_cls: 4.2102, loss: 4.2102 2023-12-27 03:22:01,631 - pyskl - INFO - Epoch [88][1300/3746] lr: 3.721e-02, eta: 1 day, 17:02:02, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3184, top5_acc: 0.5769, loss_cls: 4.2156, loss: 4.2156 2023-12-27 03:23:01,059 - pyskl - INFO - Epoch [88][1400/3746] lr: 3.719e-02, eta: 1 day, 17:00:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3336, top5_acc: 0.5845, loss_cls: 4.1868, loss: 4.1868 2023-12-27 03:24:01,252 - pyskl - INFO - Epoch [88][1500/3746] lr: 3.716e-02, eta: 1 day, 16:59:51, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3309, top5_acc: 0.5828, loss_cls: 4.1901, loss: 4.1901 2023-12-27 03:25:02,486 - pyskl - INFO - Epoch [88][1600/3746] lr: 3.713e-02, eta: 1 day, 16:58:47, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5778, loss_cls: 4.2274, loss: 4.2274 2023-12-27 03:26:02,169 - pyskl - INFO - Epoch [88][1700/3746] lr: 3.711e-02, eta: 1 day, 16:57:42, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3173, top5_acc: 0.5814, loss_cls: 4.2289, loss: 4.2289 2023-12-27 03:27:01,822 - pyskl - INFO - Epoch [88][1800/3746] lr: 3.708e-02, eta: 1 day, 16:56:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3391, top5_acc: 0.5986, loss_cls: 4.1113, loss: 4.1113 2023-12-27 03:28:01,694 - pyskl - INFO - Epoch [88][1900/3746] lr: 3.705e-02, eta: 1 day, 16:55:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3244, top5_acc: 0.5892, loss_cls: 4.1935, loss: 4.1935 2023-12-27 03:29:01,054 - pyskl - INFO - Epoch [88][2000/3746] lr: 3.703e-02, eta: 1 day, 16:54:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3177, top5_acc: 0.5813, loss_cls: 4.2403, loss: 4.2403 2023-12-27 03:30:00,431 - pyskl - INFO - Epoch [88][2100/3746] lr: 3.700e-02, eta: 1 day, 16:53:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3303, top5_acc: 0.5841, loss_cls: 4.1845, loss: 4.1845 2023-12-27 03:30:59,814 - pyskl - INFO - Epoch [88][2200/3746] lr: 3.697e-02, eta: 1 day, 16:52:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3262, top5_acc: 0.5919, loss_cls: 4.1762, loss: 4.1762 2023-12-27 03:31:59,539 - pyskl - INFO - Epoch [88][2300/3746] lr: 3.694e-02, eta: 1 day, 16:51:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3227, top5_acc: 0.5880, loss_cls: 4.1985, loss: 4.1985 2023-12-27 03:32:58,849 - pyskl - INFO - Epoch [88][2400/3746] lr: 3.692e-02, eta: 1 day, 16:50:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3212, top5_acc: 0.5786, loss_cls: 4.2300, loss: 4.2300 2023-12-27 03:33:58,517 - pyskl - INFO - Epoch [88][2500/3746] lr: 3.689e-02, eta: 1 day, 16:48:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3353, top5_acc: 0.5850, loss_cls: 4.1927, loss: 4.1927 2023-12-27 03:34:58,004 - pyskl - INFO - Epoch [88][2600/3746] lr: 3.686e-02, eta: 1 day, 16:47:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3223, top5_acc: 0.5852, loss_cls: 4.1865, loss: 4.1865 2023-12-27 03:35:57,904 - pyskl - INFO - Epoch [88][2700/3746] lr: 3.684e-02, eta: 1 day, 16:46:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3342, top5_acc: 0.5891, loss_cls: 4.1942, loss: 4.1942 2023-12-27 03:36:57,939 - pyskl - INFO - Epoch [88][2800/3746] lr: 3.681e-02, eta: 1 day, 16:45:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3370, top5_acc: 0.5863, loss_cls: 4.1666, loss: 4.1666 2023-12-27 03:37:57,888 - pyskl - INFO - Epoch [88][2900/3746] lr: 3.678e-02, eta: 1 day, 16:44:38, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3339, top5_acc: 0.5803, loss_cls: 4.2099, loss: 4.2099 2023-12-27 03:38:58,713 - pyskl - INFO - Epoch [88][3000/3746] lr: 3.676e-02, eta: 1 day, 16:43:34, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3331, top5_acc: 0.5859, loss_cls: 4.1870, loss: 4.1870 2023-12-27 03:39:59,238 - pyskl - INFO - Epoch [88][3100/3746] lr: 3.673e-02, eta: 1 day, 16:42:29, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3297, top5_acc: 0.5853, loss_cls: 4.1821, loss: 4.1821 2023-12-27 03:40:58,992 - pyskl - INFO - Epoch [88][3200/3746] lr: 3.670e-02, eta: 1 day, 16:41:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3211, top5_acc: 0.5814, loss_cls: 4.2121, loss: 4.2121 2023-12-27 03:41:59,236 - pyskl - INFO - Epoch [88][3300/3746] lr: 3.667e-02, eta: 1 day, 16:40:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3373, top5_acc: 0.5852, loss_cls: 4.1848, loss: 4.1848 2023-12-27 03:42:59,883 - pyskl - INFO - Epoch [88][3400/3746] lr: 3.665e-02, eta: 1 day, 16:39:15, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3269, top5_acc: 0.5822, loss_cls: 4.2026, loss: 4.2026 2023-12-27 03:44:00,083 - pyskl - INFO - Epoch [88][3500/3746] lr: 3.662e-02, eta: 1 day, 16:38:10, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3366, top5_acc: 0.5933, loss_cls: 4.1471, loss: 4.1471 2023-12-27 03:44:59,371 - pyskl - INFO - Epoch [88][3600/3746] lr: 3.659e-02, eta: 1 day, 16:37:05, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3292, top5_acc: 0.5911, loss_cls: 4.1682, loss: 4.1682 2023-12-27 03:45:58,849 - pyskl - INFO - Epoch [88][3700/3746] lr: 3.657e-02, eta: 1 day, 16:35:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3283, top5_acc: 0.5880, loss_cls: 4.1593, loss: 4.1593 2023-12-27 03:46:29,061 - pyskl - INFO - Saving checkpoint at 88 epochs 2023-12-27 03:48:29,705 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 03:48:30,768 - pyskl - INFO - top1_acc 0.2561 top5_acc 0.5065 2023-12-27 03:48:30,768 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 03:48:30,807 - pyskl - INFO - mean_acc 0.2561 2023-12-27 03:48:30,817 - pyskl - INFO - Epoch(val) [88][309] top1_acc: 0.2561, top5_acc: 0.5065, mean_class_accuracy: 0.2561 2023-12-27 03:51:54,435 - pyskl - INFO - Epoch [89][100/3746] lr: 3.653e-02, eta: 1 day, 16:35:46, time: 2.036, data_time: 1.441, memory: 16177, top1_acc: 0.3316, top5_acc: 0.5984, loss_cls: 4.1280, loss: 4.1280 2023-12-27 03:52:54,538 - pyskl - INFO - Epoch [89][200/3746] lr: 3.650e-02, eta: 1 day, 16:34:41, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3455, top5_acc: 0.6028, loss_cls: 4.0892, loss: 4.0892 2023-12-27 03:53:54,506 - pyskl - INFO - Epoch [89][300/3746] lr: 3.647e-02, eta: 1 day, 16:33:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3327, top5_acc: 0.5903, loss_cls: 4.1528, loss: 4.1528 2023-12-27 03:54:54,011 - pyskl - INFO - Epoch [89][400/3746] lr: 3.645e-02, eta: 1 day, 16:32:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3333, top5_acc: 0.5906, loss_cls: 4.1622, loss: 4.1622 2023-12-27 03:55:53,918 - pyskl - INFO - Epoch [89][500/3746] lr: 3.642e-02, eta: 1 day, 16:31:26, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3394, top5_acc: 0.5914, loss_cls: 4.1610, loss: 4.1610 2023-12-27 03:56:53,398 - pyskl - INFO - Epoch [89][600/3746] lr: 3.639e-02, eta: 1 day, 16:30:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3353, top5_acc: 0.5934, loss_cls: 4.1376, loss: 4.1376 2023-12-27 03:57:52,989 - pyskl - INFO - Epoch [89][700/3746] lr: 3.637e-02, eta: 1 day, 16:29:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3217, top5_acc: 0.5877, loss_cls: 4.1815, loss: 4.1815 2023-12-27 03:58:52,876 - pyskl - INFO - Epoch [89][800/3746] lr: 3.634e-02, eta: 1 day, 16:28:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3380, top5_acc: 0.5972, loss_cls: 4.1312, loss: 4.1312 2023-12-27 03:59:52,527 - pyskl - INFO - Epoch [89][900/3746] lr: 3.631e-02, eta: 1 day, 16:27:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3358, top5_acc: 0.5884, loss_cls: 4.1720, loss: 4.1720 2023-12-27 04:00:52,445 - pyskl - INFO - Epoch [89][1000/3746] lr: 3.629e-02, eta: 1 day, 16:25:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3300, top5_acc: 0.6011, loss_cls: 4.1402, loss: 4.1402 2023-12-27 04:01:52,662 - pyskl - INFO - Epoch [89][1100/3746] lr: 3.626e-02, eta: 1 day, 16:24:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3406, top5_acc: 0.5916, loss_cls: 4.1551, loss: 4.1551 2023-12-27 04:02:52,930 - pyskl - INFO - Epoch [89][1200/3746] lr: 3.623e-02, eta: 1 day, 16:23:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3300, top5_acc: 0.5834, loss_cls: 4.1712, loss: 4.1712 2023-12-27 04:03:53,122 - pyskl - INFO - Epoch [89][1300/3746] lr: 3.620e-02, eta: 1 day, 16:22:45, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3381, top5_acc: 0.5905, loss_cls: 4.1646, loss: 4.1646 2023-12-27 04:04:52,657 - pyskl - INFO - Epoch [89][1400/3746] lr: 3.618e-02, eta: 1 day, 16:21:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3300, top5_acc: 0.5889, loss_cls: 4.2085, loss: 4.2085 2023-12-27 04:05:53,122 - pyskl - INFO - Epoch [89][1500/3746] lr: 3.615e-02, eta: 1 day, 16:20:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3173, top5_acc: 0.5781, loss_cls: 4.2213, loss: 4.2213 2023-12-27 04:06:54,560 - pyskl - INFO - Epoch [89][1600/3746] lr: 3.612e-02, eta: 1 day, 16:19:31, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3336, top5_acc: 0.5877, loss_cls: 4.1822, loss: 4.1822 2023-12-27 04:07:55,299 - pyskl - INFO - Epoch [89][1700/3746] lr: 3.610e-02, eta: 1 day, 16:18:27, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3297, top5_acc: 0.5861, loss_cls: 4.1769, loss: 4.1769 2023-12-27 04:08:54,469 - pyskl - INFO - Epoch [89][1800/3746] lr: 3.607e-02, eta: 1 day, 16:17:21, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3297, top5_acc: 0.5875, loss_cls: 4.1760, loss: 4.1760 2023-12-27 04:09:54,377 - pyskl - INFO - Epoch [89][1900/3746] lr: 3.604e-02, eta: 1 day, 16:16:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3362, top5_acc: 0.5895, loss_cls: 4.1581, loss: 4.1581 2023-12-27 04:10:54,302 - pyskl - INFO - Epoch [89][2000/3746] lr: 3.602e-02, eta: 1 day, 16:15:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3286, top5_acc: 0.5736, loss_cls: 4.2080, loss: 4.2080 2023-12-27 04:11:53,977 - pyskl - INFO - Epoch [89][2100/3746] lr: 3.599e-02, eta: 1 day, 16:14:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3303, top5_acc: 0.5902, loss_cls: 4.1732, loss: 4.1732 2023-12-27 04:12:53,570 - pyskl - INFO - Epoch [89][2200/3746] lr: 3.596e-02, eta: 1 day, 16:13:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3322, top5_acc: 0.5891, loss_cls: 4.1699, loss: 4.1699 2023-12-27 04:13:53,285 - pyskl - INFO - Epoch [89][2300/3746] lr: 3.594e-02, eta: 1 day, 16:11:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3398, top5_acc: 0.5928, loss_cls: 4.1398, loss: 4.1398 2023-12-27 04:14:52,958 - pyskl - INFO - Epoch [89][2400/3746] lr: 3.591e-02, eta: 1 day, 16:10:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3322, top5_acc: 0.5962, loss_cls: 4.1708, loss: 4.1708 2023-12-27 04:15:52,654 - pyskl - INFO - Epoch [89][2500/3746] lr: 3.588e-02, eta: 1 day, 16:09:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3241, top5_acc: 0.5930, loss_cls: 4.1716, loss: 4.1716 2023-12-27 04:16:52,311 - pyskl - INFO - Epoch [89][2600/3746] lr: 3.586e-02, eta: 1 day, 16:08:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5869, loss_cls: 4.1856, loss: 4.1856 2023-12-27 04:17:52,241 - pyskl - INFO - Epoch [89][2700/3746] lr: 3.583e-02, eta: 1 day, 16:07:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3280, top5_acc: 0.5852, loss_cls: 4.1981, loss: 4.1981 2023-12-27 04:18:52,937 - pyskl - INFO - Epoch [89][2800/3746] lr: 3.580e-02, eta: 1 day, 16:06:30, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3302, top5_acc: 0.5891, loss_cls: 4.1868, loss: 4.1868 2023-12-27 04:19:52,507 - pyskl - INFO - Epoch [89][2900/3746] lr: 3.578e-02, eta: 1 day, 16:05:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3400, top5_acc: 0.5950, loss_cls: 4.1317, loss: 4.1317 2023-12-27 04:20:52,042 - pyskl - INFO - Epoch [89][3000/3746] lr: 3.575e-02, eta: 1 day, 16:04:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3241, top5_acc: 0.5825, loss_cls: 4.1962, loss: 4.1962 2023-12-27 04:21:51,931 - pyskl - INFO - Epoch [89][3100/3746] lr: 3.572e-02, eta: 1 day, 16:03:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3359, top5_acc: 0.5806, loss_cls: 4.1796, loss: 4.1796 2023-12-27 04:22:51,528 - pyskl - INFO - Epoch [89][3200/3746] lr: 3.569e-02, eta: 1 day, 16:02:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3322, top5_acc: 0.5897, loss_cls: 4.1883, loss: 4.1883 2023-12-27 04:23:51,035 - pyskl - INFO - Epoch [89][3300/3746] lr: 3.567e-02, eta: 1 day, 16:01:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3359, top5_acc: 0.5886, loss_cls: 4.1705, loss: 4.1705 2023-12-27 04:24:50,692 - pyskl - INFO - Epoch [89][3400/3746] lr: 3.564e-02, eta: 1 day, 15:59:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5798, loss_cls: 4.2101, loss: 4.2101 2023-12-27 04:25:50,066 - pyskl - INFO - Epoch [89][3500/3746] lr: 3.561e-02, eta: 1 day, 15:58:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3272, top5_acc: 0.5813, loss_cls: 4.2106, loss: 4.2106 2023-12-27 04:26:49,493 - pyskl - INFO - Epoch [89][3600/3746] lr: 3.559e-02, eta: 1 day, 15:57:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5806, loss_cls: 4.2051, loss: 4.2051 2023-12-27 04:27:48,817 - pyskl - INFO - Epoch [89][3700/3746] lr: 3.556e-02, eta: 1 day, 15:56:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3341, top5_acc: 0.5902, loss_cls: 4.1670, loss: 4.1670 2023-12-27 04:28:18,545 - pyskl - INFO - Saving checkpoint at 89 epochs 2023-12-27 04:30:20,271 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 04:30:21,064 - pyskl - INFO - top1_acc 0.2682 top5_acc 0.5181 2023-12-27 04:30:21,064 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 04:30:21,099 - pyskl - INFO - mean_acc 0.2679 2023-12-27 04:30:21,109 - pyskl - INFO - Epoch(val) [89][309] top1_acc: 0.2682, top5_acc: 0.5181, mean_class_accuracy: 0.2679 2023-12-27 04:33:43,448 - pyskl - INFO - Epoch [90][100/3746] lr: 3.552e-02, eta: 1 day, 15:56:27, time: 2.023, data_time: 1.429, memory: 16177, top1_acc: 0.3412, top5_acc: 0.5978, loss_cls: 4.1174, loss: 4.1174 2023-12-27 04:34:43,831 - pyskl - INFO - Epoch [90][200/3746] lr: 3.550e-02, eta: 1 day, 15:55:22, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3380, top5_acc: 0.6016, loss_cls: 4.1113, loss: 4.1113 2023-12-27 04:35:44,442 - pyskl - INFO - Epoch [90][300/3746] lr: 3.547e-02, eta: 1 day, 15:54:18, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3402, top5_acc: 0.5925, loss_cls: 4.1248, loss: 4.1248 2023-12-27 04:36:43,828 - pyskl - INFO - Epoch [90][400/3746] lr: 3.544e-02, eta: 1 day, 15:53:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3409, top5_acc: 0.5906, loss_cls: 4.1345, loss: 4.1345 2023-12-27 04:37:43,155 - pyskl - INFO - Epoch [90][500/3746] lr: 3.541e-02, eta: 1 day, 15:52:07, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3345, top5_acc: 0.5944, loss_cls: 4.1673, loss: 4.1673 2023-12-27 04:38:42,592 - pyskl - INFO - Epoch [90][600/3746] lr: 3.539e-02, eta: 1 day, 15:51:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3234, top5_acc: 0.5869, loss_cls: 4.2129, loss: 4.2129 2023-12-27 04:39:41,861 - pyskl - INFO - Epoch [90][700/3746] lr: 3.536e-02, eta: 1 day, 15:49:56, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3375, top5_acc: 0.5983, loss_cls: 4.1277, loss: 4.1277 2023-12-27 04:40:41,901 - pyskl - INFO - Epoch [90][800/3746] lr: 3.533e-02, eta: 1 day, 15:48:51, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3408, top5_acc: 0.6000, loss_cls: 4.1192, loss: 4.1192 2023-12-27 04:41:41,198 - pyskl - INFO - Epoch [90][900/3746] lr: 3.531e-02, eta: 1 day, 15:47:46, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3358, top5_acc: 0.5948, loss_cls: 4.1502, loss: 4.1502 2023-12-27 04:42:40,622 - pyskl - INFO - Epoch [90][1000/3746] lr: 3.528e-02, eta: 1 day, 15:46:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3328, top5_acc: 0.5942, loss_cls: 4.1350, loss: 4.1350 2023-12-27 04:43:40,143 - pyskl - INFO - Epoch [90][1100/3746] lr: 3.525e-02, eta: 1 day, 15:45:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3339, top5_acc: 0.5977, loss_cls: 4.1206, loss: 4.1206 2023-12-27 04:44:39,766 - pyskl - INFO - Epoch [90][1200/3746] lr: 3.523e-02, eta: 1 day, 15:44:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3303, top5_acc: 0.5959, loss_cls: 4.1679, loss: 4.1679 2023-12-27 04:45:39,327 - pyskl - INFO - Epoch [90][1300/3746] lr: 3.520e-02, eta: 1 day, 15:43:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3322, top5_acc: 0.5898, loss_cls: 4.1767, loss: 4.1767 2023-12-27 04:46:38,722 - pyskl - INFO - Epoch [90][1400/3746] lr: 3.517e-02, eta: 1 day, 15:42:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3255, top5_acc: 0.5886, loss_cls: 4.1718, loss: 4.1718 2023-12-27 04:47:38,714 - pyskl - INFO - Epoch [90][1500/3746] lr: 3.515e-02, eta: 1 day, 15:41:14, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3292, top5_acc: 0.5914, loss_cls: 4.1694, loss: 4.1694 2023-12-27 04:48:40,166 - pyskl - INFO - Epoch [90][1600/3746] lr: 3.512e-02, eta: 1 day, 15:40:10, time: 0.615, data_time: 0.001, memory: 16177, top1_acc: 0.3362, top5_acc: 0.5881, loss_cls: 4.1547, loss: 4.1547 2023-12-27 04:49:41,185 - pyskl - INFO - Epoch [90][1700/3746] lr: 3.509e-02, eta: 1 day, 15:39:06, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3344, top5_acc: 0.5880, loss_cls: 4.1712, loss: 4.1712 2023-12-27 04:50:40,548 - pyskl - INFO - Epoch [90][1800/3746] lr: 3.507e-02, eta: 1 day, 15:38:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5941, loss_cls: 4.1764, loss: 4.1764 2023-12-27 04:51:39,913 - pyskl - INFO - Epoch [90][1900/3746] lr: 3.504e-02, eta: 1 day, 15:36:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5833, loss_cls: 4.1863, loss: 4.1863 2023-12-27 04:52:40,052 - pyskl - INFO - Epoch [90][2000/3746] lr: 3.501e-02, eta: 1 day, 15:35:50, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5895, loss_cls: 4.1574, loss: 4.1574 2023-12-27 04:53:39,216 - pyskl - INFO - Epoch [90][2100/3746] lr: 3.499e-02, eta: 1 day, 15:34:45, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3270, top5_acc: 0.5931, loss_cls: 4.1630, loss: 4.1630 2023-12-27 04:54:38,703 - pyskl - INFO - Epoch [90][2200/3746] lr: 3.496e-02, eta: 1 day, 15:33:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3309, top5_acc: 0.5842, loss_cls: 4.1885, loss: 4.1885 2023-12-27 04:55:38,246 - pyskl - INFO - Epoch [90][2300/3746] lr: 3.493e-02, eta: 1 day, 15:32:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3337, top5_acc: 0.5945, loss_cls: 4.1680, loss: 4.1680 2023-12-27 04:56:37,615 - pyskl - INFO - Epoch [90][2400/3746] lr: 3.491e-02, eta: 1 day, 15:31:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3327, top5_acc: 0.5836, loss_cls: 4.1914, loss: 4.1914 2023-12-27 04:57:37,180 - pyskl - INFO - Epoch [90][2500/3746] lr: 3.488e-02, eta: 1 day, 15:30:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3387, top5_acc: 0.5914, loss_cls: 4.1581, loss: 4.1581 2023-12-27 04:58:36,803 - pyskl - INFO - Epoch [90][2600/3746] lr: 3.485e-02, eta: 1 day, 15:29:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3297, top5_acc: 0.5855, loss_cls: 4.1725, loss: 4.1725 2023-12-27 04:59:36,290 - pyskl - INFO - Epoch [90][2700/3746] lr: 3.483e-02, eta: 1 day, 15:28:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3261, top5_acc: 0.5853, loss_cls: 4.1853, loss: 4.1853 2023-12-27 05:00:35,710 - pyskl - INFO - Epoch [90][2800/3746] lr: 3.480e-02, eta: 1 day, 15:27:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3347, top5_acc: 0.5981, loss_cls: 4.1593, loss: 4.1593 2023-12-27 05:01:35,435 - pyskl - INFO - Epoch [90][2900/3746] lr: 3.477e-02, eta: 1 day, 15:26:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3345, top5_acc: 0.5964, loss_cls: 4.1323, loss: 4.1323 2023-12-27 05:02:34,893 - pyskl - INFO - Epoch [90][3000/3746] lr: 3.475e-02, eta: 1 day, 15:24:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3391, top5_acc: 0.5942, loss_cls: 4.1343, loss: 4.1343 2023-12-27 05:03:34,284 - pyskl - INFO - Epoch [90][3100/3746] lr: 3.472e-02, eta: 1 day, 15:23:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3341, top5_acc: 0.5816, loss_cls: 4.1841, loss: 4.1841 2023-12-27 05:04:34,127 - pyskl - INFO - Epoch [90][3200/3746] lr: 3.469e-02, eta: 1 day, 15:22:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3361, top5_acc: 0.5908, loss_cls: 4.1515, loss: 4.1515 2023-12-27 05:05:33,931 - pyskl - INFO - Epoch [90][3300/3746] lr: 3.467e-02, eta: 1 day, 15:21:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3327, top5_acc: 0.5922, loss_cls: 4.1590, loss: 4.1590 2023-12-27 05:06:33,406 - pyskl - INFO - Epoch [90][3400/3746] lr: 3.464e-02, eta: 1 day, 15:20:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3319, top5_acc: 0.5898, loss_cls: 4.1716, loss: 4.1716 2023-12-27 05:07:33,039 - pyskl - INFO - Epoch [90][3500/3746] lr: 3.461e-02, eta: 1 day, 15:19:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5887, loss_cls: 4.1914, loss: 4.1914 2023-12-27 05:08:32,341 - pyskl - INFO - Epoch [90][3600/3746] lr: 3.459e-02, eta: 1 day, 15:18:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3353, top5_acc: 0.5961, loss_cls: 4.1409, loss: 4.1409 2023-12-27 05:09:31,940 - pyskl - INFO - Epoch [90][3700/3746] lr: 3.456e-02, eta: 1 day, 15:17:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3331, top5_acc: 0.5828, loss_cls: 4.1930, loss: 4.1930 2023-12-27 05:10:02,197 - pyskl - INFO - Saving checkpoint at 90 epochs 2023-12-27 05:12:03,448 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 05:12:04,212 - pyskl - INFO - top1_acc 0.2610 top5_acc 0.5117 2023-12-27 05:12:04,213 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 05:12:04,245 - pyskl - INFO - mean_acc 0.2607 2023-12-27 05:12:04,253 - pyskl - INFO - Epoch(val) [90][309] top1_acc: 0.2610, top5_acc: 0.5117, mean_class_accuracy: 0.2607 2023-12-27 05:15:27,286 - pyskl - INFO - Epoch [91][100/3746] lr: 3.452e-02, eta: 1 day, 15:17:04, time: 2.030, data_time: 1.434, memory: 16177, top1_acc: 0.3422, top5_acc: 0.6052, loss_cls: 4.1039, loss: 4.1039 2023-12-27 05:16:27,803 - pyskl - INFO - Epoch [91][200/3746] lr: 3.450e-02, eta: 1 day, 15:16:00, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3344, top5_acc: 0.5953, loss_cls: 4.1291, loss: 4.1291 2023-12-27 05:17:27,931 - pyskl - INFO - Epoch [91][300/3746] lr: 3.447e-02, eta: 1 day, 15:14:55, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3477, top5_acc: 0.6014, loss_cls: 4.1008, loss: 4.1008 2023-12-27 05:18:27,695 - pyskl - INFO - Epoch [91][400/3746] lr: 3.444e-02, eta: 1 day, 15:13:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3395, top5_acc: 0.6008, loss_cls: 4.1189, loss: 4.1189 2023-12-27 05:19:27,657 - pyskl - INFO - Epoch [91][500/3746] lr: 3.442e-02, eta: 1 day, 15:12:45, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3406, top5_acc: 0.5981, loss_cls: 4.1344, loss: 4.1344 2023-12-27 05:20:27,379 - pyskl - INFO - Epoch [91][600/3746] lr: 3.439e-02, eta: 1 day, 15:11:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3375, top5_acc: 0.6020, loss_cls: 4.1159, loss: 4.1159 2023-12-27 05:21:26,934 - pyskl - INFO - Epoch [91][700/3746] lr: 3.436e-02, eta: 1 day, 15:10:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3294, top5_acc: 0.5858, loss_cls: 4.1653, loss: 4.1653 2023-12-27 05:22:26,388 - pyskl - INFO - Epoch [91][800/3746] lr: 3.434e-02, eta: 1 day, 15:09:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3392, top5_acc: 0.5988, loss_cls: 4.1086, loss: 4.1086 2023-12-27 05:23:25,845 - pyskl - INFO - Epoch [91][900/3746] lr: 3.431e-02, eta: 1 day, 15:08:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3419, top5_acc: 0.6009, loss_cls: 4.1275, loss: 4.1275 2023-12-27 05:24:25,349 - pyskl - INFO - Epoch [91][1000/3746] lr: 3.428e-02, eta: 1 day, 15:07:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3414, top5_acc: 0.5975, loss_cls: 4.1281, loss: 4.1281 2023-12-27 05:25:25,031 - pyskl - INFO - Epoch [91][1100/3746] lr: 3.426e-02, eta: 1 day, 15:06:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3395, top5_acc: 0.5852, loss_cls: 4.1667, loss: 4.1667 2023-12-27 05:26:25,217 - pyskl - INFO - Epoch [91][1200/3746] lr: 3.423e-02, eta: 1 day, 15:05:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3387, top5_acc: 0.6000, loss_cls: 4.1180, loss: 4.1180 2023-12-27 05:27:26,051 - pyskl - INFO - Epoch [91][1300/3746] lr: 3.420e-02, eta: 1 day, 15:04:04, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3287, top5_acc: 0.5887, loss_cls: 4.1684, loss: 4.1684 2023-12-27 05:28:26,279 - pyskl - INFO - Epoch [91][1400/3746] lr: 3.418e-02, eta: 1 day, 15:03:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3409, top5_acc: 0.5964, loss_cls: 4.1340, loss: 4.1340 2023-12-27 05:29:25,851 - pyskl - INFO - Epoch [91][1500/3746] lr: 3.415e-02, eta: 1 day, 15:01:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5913, loss_cls: 4.1808, loss: 4.1808 2023-12-27 05:30:26,342 - pyskl - INFO - Epoch [91][1600/3746] lr: 3.412e-02, eta: 1 day, 15:00:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3370, top5_acc: 0.5831, loss_cls: 4.1912, loss: 4.1912 2023-12-27 05:31:27,965 - pyskl - INFO - Epoch [91][1700/3746] lr: 3.410e-02, eta: 1 day, 14:59:46, time: 0.616, data_time: 0.001, memory: 16177, top1_acc: 0.3387, top5_acc: 0.5977, loss_cls: 4.1409, loss: 4.1409 2023-12-27 05:32:27,729 - pyskl - INFO - Epoch [91][1800/3746] lr: 3.407e-02, eta: 1 day, 14:58:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3386, top5_acc: 0.5998, loss_cls: 4.1188, loss: 4.1188 2023-12-27 05:33:27,443 - pyskl - INFO - Epoch [91][1900/3746] lr: 3.405e-02, eta: 1 day, 14:57:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3412, top5_acc: 0.5964, loss_cls: 4.1410, loss: 4.1410 2023-12-27 05:34:27,119 - pyskl - INFO - Epoch [91][2000/3746] lr: 3.402e-02, eta: 1 day, 14:56:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3377, top5_acc: 0.5906, loss_cls: 4.1618, loss: 4.1618 2023-12-27 05:35:26,688 - pyskl - INFO - Epoch [91][2100/3746] lr: 3.399e-02, eta: 1 day, 14:55:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3322, top5_acc: 0.5917, loss_cls: 4.1785, loss: 4.1785 2023-12-27 05:36:26,226 - pyskl - INFO - Epoch [91][2200/3746] lr: 3.397e-02, eta: 1 day, 14:54:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3394, top5_acc: 0.5903, loss_cls: 4.1520, loss: 4.1520 2023-12-27 05:37:25,999 - pyskl - INFO - Epoch [91][2300/3746] lr: 3.394e-02, eta: 1 day, 14:53:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3328, top5_acc: 0.5887, loss_cls: 4.1532, loss: 4.1532 2023-12-27 05:38:25,792 - pyskl - INFO - Epoch [91][2400/3746] lr: 3.391e-02, eta: 1 day, 14:52:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3419, top5_acc: 0.5947, loss_cls: 4.1162, loss: 4.1162 2023-12-27 05:39:25,280 - pyskl - INFO - Epoch [91][2500/3746] lr: 3.389e-02, eta: 1 day, 14:51:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3488, top5_acc: 0.6048, loss_cls: 4.0965, loss: 4.0965 2023-12-27 05:40:25,302 - pyskl - INFO - Epoch [91][2600/3746] lr: 3.386e-02, eta: 1 day, 14:50:01, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3333, top5_acc: 0.5931, loss_cls: 4.1501, loss: 4.1501 2023-12-27 05:41:24,974 - pyskl - INFO - Epoch [91][2700/3746] lr: 3.383e-02, eta: 1 day, 14:48:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3330, top5_acc: 0.5833, loss_cls: 4.1742, loss: 4.1742 2023-12-27 05:42:24,347 - pyskl - INFO - Epoch [91][2800/3746] lr: 3.381e-02, eta: 1 day, 14:47:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3309, top5_acc: 0.5931, loss_cls: 4.1644, loss: 4.1644 2023-12-27 05:43:23,645 - pyskl - INFO - Epoch [91][2900/3746] lr: 3.378e-02, eta: 1 day, 14:46:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3327, top5_acc: 0.5930, loss_cls: 4.1474, loss: 4.1474 2023-12-27 05:44:23,196 - pyskl - INFO - Epoch [91][3000/3746] lr: 3.375e-02, eta: 1 day, 14:45:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3402, top5_acc: 0.6031, loss_cls: 4.1093, loss: 4.1093 2023-12-27 05:45:22,744 - pyskl - INFO - Epoch [91][3100/3746] lr: 3.373e-02, eta: 1 day, 14:44:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3352, top5_acc: 0.5834, loss_cls: 4.1823, loss: 4.1823 2023-12-27 05:46:22,084 - pyskl - INFO - Epoch [91][3200/3746] lr: 3.370e-02, eta: 1 day, 14:43:30, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3348, top5_acc: 0.6005, loss_cls: 4.1542, loss: 4.1542 2023-12-27 05:47:21,410 - pyskl - INFO - Epoch [91][3300/3746] lr: 3.367e-02, eta: 1 day, 14:42:24, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5808, loss_cls: 4.1879, loss: 4.1879 2023-12-27 05:48:21,118 - pyskl - INFO - Epoch [91][3400/3746] lr: 3.365e-02, eta: 1 day, 14:41:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3391, top5_acc: 0.5978, loss_cls: 4.1489, loss: 4.1489 2023-12-27 05:49:20,509 - pyskl - INFO - Epoch [91][3500/3746] lr: 3.362e-02, eta: 1 day, 14:40:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3378, top5_acc: 0.5961, loss_cls: 4.1476, loss: 4.1476 2023-12-27 05:50:20,078 - pyskl - INFO - Epoch [91][3600/3746] lr: 3.360e-02, eta: 1 day, 14:39:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3355, top5_acc: 0.5989, loss_cls: 4.1390, loss: 4.1390 2023-12-27 05:51:19,984 - pyskl - INFO - Epoch [91][3700/3746] lr: 3.357e-02, eta: 1 day, 14:38:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3356, top5_acc: 0.5933, loss_cls: 4.1543, loss: 4.1543 2023-12-27 05:51:51,313 - pyskl - INFO - Saving checkpoint at 91 epochs 2023-12-27 05:53:53,634 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 05:53:54,441 - pyskl - INFO - top1_acc 0.2747 top5_acc 0.5269 2023-12-27 05:53:54,442 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 05:53:54,474 - pyskl - INFO - mean_acc 0.2746 2023-12-27 05:53:54,479 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_86.pth was removed 2023-12-27 05:53:54,714 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. 2023-12-27 05:53:54,715 - pyskl - INFO - Best top1_acc is 0.2747 at 91 epoch. 2023-12-27 05:53:54,723 - pyskl - INFO - Epoch(val) [91][309] top1_acc: 0.2747, top5_acc: 0.5269, mean_class_accuracy: 0.2746 2023-12-27 05:57:17,787 - pyskl - INFO - Epoch [92][100/3746] lr: 3.353e-02, eta: 1 day, 14:37:44, time: 2.031, data_time: 1.431, memory: 16177, top1_acc: 0.3419, top5_acc: 0.6064, loss_cls: 4.0733, loss: 4.0733 2023-12-27 05:58:18,729 - pyskl - INFO - Epoch [92][200/3746] lr: 3.350e-02, eta: 1 day, 14:36:40, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3444, top5_acc: 0.6061, loss_cls: 4.0949, loss: 4.0949 2023-12-27 05:59:18,599 - pyskl - INFO - Epoch [92][300/3746] lr: 3.348e-02, eta: 1 day, 14:35:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3497, top5_acc: 0.6012, loss_cls: 4.0871, loss: 4.0871 2023-12-27 06:00:17,967 - pyskl - INFO - Epoch [92][400/3746] lr: 3.345e-02, eta: 1 day, 14:34:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3481, top5_acc: 0.6006, loss_cls: 4.1033, loss: 4.1033 2023-12-27 06:01:17,686 - pyskl - INFO - Epoch [92][500/3746] lr: 3.342e-02, eta: 1 day, 14:33:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3416, top5_acc: 0.5962, loss_cls: 4.1324, loss: 4.1324 2023-12-27 06:02:17,907 - pyskl - INFO - Epoch [92][600/3746] lr: 3.340e-02, eta: 1 day, 14:32:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3450, top5_acc: 0.5998, loss_cls: 4.1167, loss: 4.1167 2023-12-27 06:03:17,173 - pyskl - INFO - Epoch [92][700/3746] lr: 3.337e-02, eta: 1 day, 14:31:15, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3392, top5_acc: 0.6052, loss_cls: 4.0823, loss: 4.0823 2023-12-27 06:04:16,605 - pyskl - INFO - Epoch [92][800/3746] lr: 3.335e-02, eta: 1 day, 14:30:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3395, top5_acc: 0.5938, loss_cls: 4.1493, loss: 4.1493 2023-12-27 06:05:16,243 - pyskl - INFO - Epoch [92][900/3746] lr: 3.332e-02, eta: 1 day, 14:29:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3428, top5_acc: 0.6070, loss_cls: 4.1051, loss: 4.1051 2023-12-27 06:06:15,781 - pyskl - INFO - Epoch [92][1000/3746] lr: 3.329e-02, eta: 1 day, 14:27:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3375, top5_acc: 0.5970, loss_cls: 4.1325, loss: 4.1325 2023-12-27 06:07:15,414 - pyskl - INFO - Epoch [92][1100/3746] lr: 3.327e-02, eta: 1 day, 14:26:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3358, top5_acc: 0.5972, loss_cls: 4.1434, loss: 4.1434 2023-12-27 06:08:14,932 - pyskl - INFO - Epoch [92][1200/3746] lr: 3.324e-02, eta: 1 day, 14:25:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3416, top5_acc: 0.6069, loss_cls: 4.1197, loss: 4.1197 2023-12-27 06:09:14,414 - pyskl - INFO - Epoch [92][1300/3746] lr: 3.321e-02, eta: 1 day, 14:24:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3481, top5_acc: 0.6073, loss_cls: 4.0911, loss: 4.0911 2023-12-27 06:10:14,448 - pyskl - INFO - Epoch [92][1400/3746] lr: 3.319e-02, eta: 1 day, 14:23:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3291, top5_acc: 0.5964, loss_cls: 4.1529, loss: 4.1529 2023-12-27 06:11:14,402 - pyskl - INFO - Epoch [92][1500/3746] lr: 3.316e-02, eta: 1 day, 14:22:34, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3492, top5_acc: 0.6028, loss_cls: 4.1041, loss: 4.1041 2023-12-27 06:12:15,186 - pyskl - INFO - Epoch [92][1600/3746] lr: 3.314e-02, eta: 1 day, 14:21:30, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3353, top5_acc: 0.5978, loss_cls: 4.1508, loss: 4.1508 2023-12-27 06:13:17,468 - pyskl - INFO - Epoch [92][1700/3746] lr: 3.311e-02, eta: 1 day, 14:20:27, time: 0.623, data_time: 0.000, memory: 16177, top1_acc: 0.3423, top5_acc: 0.5973, loss_cls: 4.1299, loss: 4.1299 2023-12-27 06:14:17,661 - pyskl - INFO - Epoch [92][1800/3746] lr: 3.308e-02, eta: 1 day, 14:19:22, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3319, top5_acc: 0.5945, loss_cls: 4.1354, loss: 4.1354 2023-12-27 06:15:17,525 - pyskl - INFO - Epoch [92][1900/3746] lr: 3.306e-02, eta: 1 day, 14:18:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3466, top5_acc: 0.6022, loss_cls: 4.0992, loss: 4.0992 2023-12-27 06:16:17,915 - pyskl - INFO - Epoch [92][2000/3746] lr: 3.303e-02, eta: 1 day, 14:17:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3387, top5_acc: 0.5880, loss_cls: 4.1516, loss: 4.1516 2023-12-27 06:17:17,232 - pyskl - INFO - Epoch [92][2100/3746] lr: 3.300e-02, eta: 1 day, 14:16:07, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3391, top5_acc: 0.6070, loss_cls: 4.1102, loss: 4.1102 2023-12-27 06:18:16,981 - pyskl - INFO - Epoch [92][2200/3746] lr: 3.298e-02, eta: 1 day, 14:15:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3383, top5_acc: 0.5859, loss_cls: 4.1742, loss: 4.1742 2023-12-27 06:19:16,600 - pyskl - INFO - Epoch [92][2300/3746] lr: 3.295e-02, eta: 1 day, 14:13:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3339, top5_acc: 0.5927, loss_cls: 4.1437, loss: 4.1437 2023-12-27 06:20:16,172 - pyskl - INFO - Epoch [92][2400/3746] lr: 3.292e-02, eta: 1 day, 14:12:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3383, top5_acc: 0.5992, loss_cls: 4.1152, loss: 4.1152 2023-12-27 06:21:15,428 - pyskl - INFO - Epoch [92][2500/3746] lr: 3.290e-02, eta: 1 day, 14:11:47, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3375, top5_acc: 0.5938, loss_cls: 4.1253, loss: 4.1253 2023-12-27 06:22:14,767 - pyskl - INFO - Epoch [92][2600/3746] lr: 3.287e-02, eta: 1 day, 14:10:42, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3377, top5_acc: 0.5938, loss_cls: 4.1464, loss: 4.1464 2023-12-27 06:23:15,111 - pyskl - INFO - Epoch [92][2700/3746] lr: 3.285e-02, eta: 1 day, 14:09:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3387, top5_acc: 0.5955, loss_cls: 4.1304, loss: 4.1304 2023-12-27 06:24:15,865 - pyskl - INFO - Epoch [92][2800/3746] lr: 3.282e-02, eta: 1 day, 14:08:33, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3303, top5_acc: 0.5955, loss_cls: 4.1390, loss: 4.1390 2023-12-27 06:25:16,487 - pyskl - INFO - Epoch [92][2900/3746] lr: 3.279e-02, eta: 1 day, 14:07:29, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3400, top5_acc: 0.5972, loss_cls: 4.1259, loss: 4.1259 2023-12-27 06:26:16,708 - pyskl - INFO - Epoch [92][3000/3746] lr: 3.277e-02, eta: 1 day, 14:06:24, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3355, top5_acc: 0.6002, loss_cls: 4.1172, loss: 4.1172 2023-12-27 06:27:16,274 - pyskl - INFO - Epoch [92][3100/3746] lr: 3.274e-02, eta: 1 day, 14:05:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3289, top5_acc: 0.5895, loss_cls: 4.1722, loss: 4.1722 2023-12-27 06:28:15,956 - pyskl - INFO - Epoch [92][3200/3746] lr: 3.271e-02, eta: 1 day, 14:04:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3375, top5_acc: 0.5955, loss_cls: 4.1639, loss: 4.1639 2023-12-27 06:29:15,395 - pyskl - INFO - Epoch [92][3300/3746] lr: 3.269e-02, eta: 1 day, 14:03:09, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3361, top5_acc: 0.5970, loss_cls: 4.1501, loss: 4.1501 2023-12-27 06:30:15,115 - pyskl - INFO - Epoch [92][3400/3746] lr: 3.266e-02, eta: 1 day, 14:02:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3372, top5_acc: 0.6016, loss_cls: 4.1483, loss: 4.1483 2023-12-27 06:31:14,358 - pyskl - INFO - Epoch [92][3500/3746] lr: 3.264e-02, eta: 1 day, 14:00:59, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5886, loss_cls: 4.1933, loss: 4.1933 2023-12-27 06:32:14,052 - pyskl - INFO - Epoch [92][3600/3746] lr: 3.261e-02, eta: 1 day, 13:59:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3456, top5_acc: 0.6017, loss_cls: 4.1095, loss: 4.1095 2023-12-27 06:33:13,398 - pyskl - INFO - Epoch [92][3700/3746] lr: 3.258e-02, eta: 1 day, 13:58:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3347, top5_acc: 0.5923, loss_cls: 4.1700, loss: 4.1700 2023-12-27 06:33:43,162 - pyskl - INFO - Saving checkpoint at 92 epochs 2023-12-27 06:35:41,548 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 06:35:42,345 - pyskl - INFO - top1_acc 0.2812 top5_acc 0.5320 2023-12-27 06:35:42,345 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 06:35:42,378 - pyskl - INFO - mean_acc 0.2809 2023-12-27 06:35:42,383 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_91.pth was removed 2023-12-27 06:35:42,613 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_92.pth. 2023-12-27 06:35:42,613 - pyskl - INFO - Best top1_acc is 0.2812 at 92 epoch. 2023-12-27 06:35:42,622 - pyskl - INFO - Epoch(val) [92][309] top1_acc: 0.2812, top5_acc: 0.5320, mean_class_accuracy: 0.2809 2023-12-27 06:39:02,900 - pyskl - INFO - Epoch [93][100/3746] lr: 3.255e-02, eta: 1 day, 13:58:25, time: 2.003, data_time: 1.404, memory: 16177, top1_acc: 0.3523, top5_acc: 0.6086, loss_cls: 4.0681, loss: 4.0681 2023-12-27 06:40:03,350 - pyskl - INFO - Epoch [93][200/3746] lr: 3.252e-02, eta: 1 day, 13:57:20, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3442, top5_acc: 0.5995, loss_cls: 4.0953, loss: 4.0953 2023-12-27 06:41:04,053 - pyskl - INFO - Epoch [93][300/3746] lr: 3.249e-02, eta: 1 day, 13:56:16, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3466, top5_acc: 0.5970, loss_cls: 4.1329, loss: 4.1329 2023-12-27 06:42:03,997 - pyskl - INFO - Epoch [93][400/3746] lr: 3.247e-02, eta: 1 day, 13:55:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3464, top5_acc: 0.6048, loss_cls: 4.0878, loss: 4.0878 2023-12-27 06:43:03,746 - pyskl - INFO - Epoch [93][500/3746] lr: 3.244e-02, eta: 1 day, 13:54:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3348, top5_acc: 0.5950, loss_cls: 4.1367, loss: 4.1367 2023-12-27 06:44:03,635 - pyskl - INFO - Epoch [93][600/3746] lr: 3.241e-02, eta: 1 day, 13:53:01, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3322, top5_acc: 0.5920, loss_cls: 4.1639, loss: 4.1639 2023-12-27 06:45:02,894 - pyskl - INFO - Epoch [93][700/3746] lr: 3.239e-02, eta: 1 day, 13:51:56, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3508, top5_acc: 0.6041, loss_cls: 4.0651, loss: 4.0651 2023-12-27 06:46:02,562 - pyskl - INFO - Epoch [93][800/3746] lr: 3.236e-02, eta: 1 day, 13:50:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3416, top5_acc: 0.6042, loss_cls: 4.1105, loss: 4.1105 2023-12-27 06:47:02,365 - pyskl - INFO - Epoch [93][900/3746] lr: 3.234e-02, eta: 1 day, 13:49:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3472, top5_acc: 0.6020, loss_cls: 4.0820, loss: 4.0820 2023-12-27 06:48:02,024 - pyskl - INFO - Epoch [93][1000/3746] lr: 3.231e-02, eta: 1 day, 13:48:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3339, top5_acc: 0.5994, loss_cls: 4.1312, loss: 4.1312 2023-12-27 06:49:01,521 - pyskl - INFO - Epoch [93][1100/3746] lr: 3.228e-02, eta: 1 day, 13:47:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3427, top5_acc: 0.6038, loss_cls: 4.1149, loss: 4.1149 2023-12-27 06:50:00,958 - pyskl - INFO - Epoch [93][1200/3746] lr: 3.226e-02, eta: 1 day, 13:46:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3541, top5_acc: 0.6081, loss_cls: 4.0797, loss: 4.0797 2023-12-27 06:51:00,504 - pyskl - INFO - Epoch [93][1300/3746] lr: 3.223e-02, eta: 1 day, 13:45:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3438, top5_acc: 0.6075, loss_cls: 4.0545, loss: 4.0545 2023-12-27 06:51:59,797 - pyskl - INFO - Epoch [93][1400/3746] lr: 3.221e-02, eta: 1 day, 13:44:21, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3494, top5_acc: 0.6056, loss_cls: 4.0898, loss: 4.0898 2023-12-27 06:52:59,619 - pyskl - INFO - Epoch [93][1500/3746] lr: 3.218e-02, eta: 1 day, 13:43:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3503, top5_acc: 0.6053, loss_cls: 4.0762, loss: 4.0762 2023-12-27 06:53:59,591 - pyskl - INFO - Epoch [93][1600/3746] lr: 3.215e-02, eta: 1 day, 13:42:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3400, top5_acc: 0.5978, loss_cls: 4.1115, loss: 4.1115 2023-12-27 06:55:00,437 - pyskl - INFO - Epoch [93][1700/3746] lr: 3.213e-02, eta: 1 day, 13:41:07, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3411, top5_acc: 0.6103, loss_cls: 4.1154, loss: 4.1154 2023-12-27 06:56:01,381 - pyskl - INFO - Epoch [93][1800/3746] lr: 3.210e-02, eta: 1 day, 13:40:03, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3400, top5_acc: 0.5970, loss_cls: 4.1478, loss: 4.1478 2023-12-27 06:57:01,115 - pyskl - INFO - Epoch [93][1900/3746] lr: 3.207e-02, eta: 1 day, 13:38:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3478, top5_acc: 0.6055, loss_cls: 4.1057, loss: 4.1057 2023-12-27 06:58:01,464 - pyskl - INFO - Epoch [93][2000/3746] lr: 3.205e-02, eta: 1 day, 13:37:53, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3389, top5_acc: 0.6003, loss_cls: 4.1028, loss: 4.1028 2023-12-27 06:59:01,102 - pyskl - INFO - Epoch [93][2100/3746] lr: 3.202e-02, eta: 1 day, 13:36:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3444, top5_acc: 0.5962, loss_cls: 4.1229, loss: 4.1229 2023-12-27 07:00:00,279 - pyskl - INFO - Epoch [93][2200/3746] lr: 3.200e-02, eta: 1 day, 13:35:43, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3416, top5_acc: 0.6120, loss_cls: 4.0820, loss: 4.0820 2023-12-27 07:00:59,987 - pyskl - INFO - Epoch [93][2300/3746] lr: 3.197e-02, eta: 1 day, 13:34:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3333, top5_acc: 0.5941, loss_cls: 4.1144, loss: 4.1144 2023-12-27 07:01:59,427 - pyskl - INFO - Epoch [93][2400/3746] lr: 3.194e-02, eta: 1 day, 13:33:33, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3420, top5_acc: 0.5964, loss_cls: 4.1224, loss: 4.1224 2023-12-27 07:02:58,768 - pyskl - INFO - Epoch [93][2500/3746] lr: 3.192e-02, eta: 1 day, 13:32:28, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3366, top5_acc: 0.5887, loss_cls: 4.1623, loss: 4.1623 2023-12-27 07:03:58,412 - pyskl - INFO - Epoch [93][2600/3746] lr: 3.189e-02, eta: 1 day, 13:31:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3391, top5_acc: 0.5988, loss_cls: 4.1124, loss: 4.1124 2023-12-27 07:04:57,962 - pyskl - INFO - Epoch [93][2700/3746] lr: 3.187e-02, eta: 1 day, 13:30:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3430, top5_acc: 0.5961, loss_cls: 4.1155, loss: 4.1155 2023-12-27 07:05:57,553 - pyskl - INFO - Epoch [93][2800/3746] lr: 3.184e-02, eta: 1 day, 13:29:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3427, top5_acc: 0.5978, loss_cls: 4.1239, loss: 4.1239 2023-12-27 07:06:57,182 - pyskl - INFO - Epoch [93][2900/3746] lr: 3.181e-02, eta: 1 day, 13:28:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3373, top5_acc: 0.5973, loss_cls: 4.1426, loss: 4.1426 2023-12-27 07:07:57,589 - pyskl - INFO - Epoch [93][3000/3746] lr: 3.179e-02, eta: 1 day, 13:27:03, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3336, top5_acc: 0.5950, loss_cls: 4.1367, loss: 4.1367 2023-12-27 07:08:57,312 - pyskl - INFO - Epoch [93][3100/3746] lr: 3.176e-02, eta: 1 day, 13:25:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3439, top5_acc: 0.6027, loss_cls: 4.1198, loss: 4.1198 2023-12-27 07:09:57,248 - pyskl - INFO - Epoch [93][3200/3746] lr: 3.174e-02, eta: 1 day, 13:24:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3445, top5_acc: 0.6070, loss_cls: 4.1075, loss: 4.1075 2023-12-27 07:10:57,133 - pyskl - INFO - Epoch [93][3300/3746] lr: 3.171e-02, eta: 1 day, 13:23:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3297, top5_acc: 0.5859, loss_cls: 4.1536, loss: 4.1536 2023-12-27 07:11:56,866 - pyskl - INFO - Epoch [93][3400/3746] lr: 3.168e-02, eta: 1 day, 13:22:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3353, top5_acc: 0.5914, loss_cls: 4.1300, loss: 4.1300 2023-12-27 07:12:57,275 - pyskl - INFO - Epoch [93][3500/3746] lr: 3.166e-02, eta: 1 day, 13:21:40, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3350, top5_acc: 0.5983, loss_cls: 4.1443, loss: 4.1443 2023-12-27 07:13:56,943 - pyskl - INFO - Epoch [93][3600/3746] lr: 3.163e-02, eta: 1 day, 13:20:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3444, top5_acc: 0.5998, loss_cls: 4.1289, loss: 4.1289 2023-12-27 07:14:56,749 - pyskl - INFO - Epoch [93][3700/3746] lr: 3.161e-02, eta: 1 day, 13:19:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3386, top5_acc: 0.6108, loss_cls: 4.1175, loss: 4.1175 2023-12-27 07:15:26,955 - pyskl - INFO - Saving checkpoint at 93 epochs 2023-12-27 07:17:27,936 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 07:17:28,991 - pyskl - INFO - top1_acc 0.2770 top5_acc 0.5255 2023-12-27 07:17:28,991 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 07:17:29,030 - pyskl - INFO - mean_acc 0.2768 2023-12-27 07:17:29,039 - pyskl - INFO - Epoch(val) [93][309] top1_acc: 0.2770, top5_acc: 0.5255, mean_class_accuracy: 0.2768 2023-12-27 07:20:46,293 - pyskl - INFO - Epoch [94][100/3746] lr: 3.157e-02, eta: 1 day, 13:19:03, time: 1.972, data_time: 1.377, memory: 16177, top1_acc: 0.3525, top5_acc: 0.6088, loss_cls: 4.0672, loss: 4.0672 2023-12-27 07:21:46,864 - pyskl - INFO - Epoch [94][200/3746] lr: 3.154e-02, eta: 1 day, 13:17:58, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3480, top5_acc: 0.6117, loss_cls: 4.0456, loss: 4.0456 2023-12-27 07:22:46,742 - pyskl - INFO - Epoch [94][300/3746] lr: 3.152e-02, eta: 1 day, 13:16:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3461, top5_acc: 0.6092, loss_cls: 4.0577, loss: 4.0577 2023-12-27 07:23:46,431 - pyskl - INFO - Epoch [94][400/3746] lr: 3.149e-02, eta: 1 day, 13:15:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3547, top5_acc: 0.6089, loss_cls: 4.0752, loss: 4.0752 2023-12-27 07:24:46,362 - pyskl - INFO - Epoch [94][500/3746] lr: 3.146e-02, eta: 1 day, 13:14:44, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3405, top5_acc: 0.5989, loss_cls: 4.0981, loss: 4.0981 2023-12-27 07:25:46,135 - pyskl - INFO - Epoch [94][600/3746] lr: 3.144e-02, eta: 1 day, 13:13:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3550, top5_acc: 0.6138, loss_cls: 4.0439, loss: 4.0439 2023-12-27 07:26:45,469 - pyskl - INFO - Epoch [94][700/3746] lr: 3.141e-02, eta: 1 day, 13:12:34, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3430, top5_acc: 0.6061, loss_cls: 4.0753, loss: 4.0753 2023-12-27 07:27:44,880 - pyskl - INFO - Epoch [94][800/3746] lr: 3.139e-02, eta: 1 day, 13:11:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3539, top5_acc: 0.6128, loss_cls: 4.0596, loss: 4.0596 2023-12-27 07:28:44,257 - pyskl - INFO - Epoch [94][900/3746] lr: 3.136e-02, eta: 1 day, 13:10:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3381, top5_acc: 0.6047, loss_cls: 4.1038, loss: 4.1038 2023-12-27 07:29:43,669 - pyskl - INFO - Epoch [94][1000/3746] lr: 3.133e-02, eta: 1 day, 13:09:18, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3553, top5_acc: 0.6088, loss_cls: 4.0706, loss: 4.0706 2023-12-27 07:30:43,243 - pyskl - INFO - Epoch [94][1100/3746] lr: 3.131e-02, eta: 1 day, 13:08:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3523, top5_acc: 0.6111, loss_cls: 4.0798, loss: 4.0798 2023-12-27 07:31:43,253 - pyskl - INFO - Epoch [94][1200/3746] lr: 3.128e-02, eta: 1 day, 13:07:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3484, top5_acc: 0.6028, loss_cls: 4.0758, loss: 4.0758 2023-12-27 07:32:42,779 - pyskl - INFO - Epoch [94][1300/3746] lr: 3.126e-02, eta: 1 day, 13:06:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3366, top5_acc: 0.5897, loss_cls: 4.1671, loss: 4.1671 2023-12-27 07:33:42,145 - pyskl - INFO - Epoch [94][1400/3746] lr: 3.123e-02, eta: 1 day, 13:04:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3466, top5_acc: 0.6136, loss_cls: 4.0823, loss: 4.0823 2023-12-27 07:34:41,968 - pyskl - INFO - Epoch [94][1500/3746] lr: 3.120e-02, eta: 1 day, 13:03:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3405, top5_acc: 0.6003, loss_cls: 4.1020, loss: 4.1020 2023-12-27 07:35:41,613 - pyskl - INFO - Epoch [94][1600/3746] lr: 3.118e-02, eta: 1 day, 13:02:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3456, top5_acc: 0.5956, loss_cls: 4.1252, loss: 4.1252 2023-12-27 07:36:41,989 - pyskl - INFO - Epoch [94][1700/3746] lr: 3.115e-02, eta: 1 day, 13:01:44, time: 0.604, data_time: 0.001, memory: 16177, top1_acc: 0.3495, top5_acc: 0.5948, loss_cls: 4.1121, loss: 4.1121 2023-12-27 07:37:45,433 - pyskl - INFO - Epoch [94][1800/3746] lr: 3.113e-02, eta: 1 day, 13:00:42, time: 0.634, data_time: 0.000, memory: 16177, top1_acc: 0.3447, top5_acc: 0.6012, loss_cls: 4.0967, loss: 4.0967 2023-12-27 07:38:45,270 - pyskl - INFO - Epoch [94][1900/3746] lr: 3.110e-02, eta: 1 day, 12:59:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3405, top5_acc: 0.5939, loss_cls: 4.1447, loss: 4.1447 2023-12-27 07:39:44,737 - pyskl - INFO - Epoch [94][2000/3746] lr: 3.108e-02, eta: 1 day, 12:58:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3431, top5_acc: 0.6005, loss_cls: 4.0880, loss: 4.0880 2023-12-27 07:40:44,597 - pyskl - INFO - Epoch [94][2100/3746] lr: 3.105e-02, eta: 1 day, 12:57:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3306, top5_acc: 0.5920, loss_cls: 4.1414, loss: 4.1414 2023-12-27 07:41:44,471 - pyskl - INFO - Epoch [94][2200/3746] lr: 3.102e-02, eta: 1 day, 12:56:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3395, top5_acc: 0.6002, loss_cls: 4.1037, loss: 4.1037 2023-12-27 07:42:44,749 - pyskl - INFO - Epoch [94][2300/3746] lr: 3.100e-02, eta: 1 day, 12:55:18, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3298, top5_acc: 0.5898, loss_cls: 4.1544, loss: 4.1544 2023-12-27 07:43:44,670 - pyskl - INFO - Epoch [94][2400/3746] lr: 3.097e-02, eta: 1 day, 12:54:13, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3344, top5_acc: 0.5911, loss_cls: 4.1336, loss: 4.1336 2023-12-27 07:44:45,367 - pyskl - INFO - Epoch [94][2500/3746] lr: 3.095e-02, eta: 1 day, 12:53:09, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3447, top5_acc: 0.6019, loss_cls: 4.0885, loss: 4.0885 2023-12-27 07:45:45,388 - pyskl - INFO - Epoch [94][2600/3746] lr: 3.092e-02, eta: 1 day, 12:52:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3377, top5_acc: 0.5986, loss_cls: 4.0992, loss: 4.0992 2023-12-27 07:46:45,138 - pyskl - INFO - Epoch [94][2700/3746] lr: 3.089e-02, eta: 1 day, 12:50:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3464, top5_acc: 0.6036, loss_cls: 4.0903, loss: 4.0903 2023-12-27 07:47:45,948 - pyskl - INFO - Epoch [94][2800/3746] lr: 3.087e-02, eta: 1 day, 12:49:55, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3402, top5_acc: 0.5958, loss_cls: 4.1409, loss: 4.1409 2023-12-27 07:48:46,317 - pyskl - INFO - Epoch [94][2900/3746] lr: 3.084e-02, eta: 1 day, 12:48:51, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3448, top5_acc: 0.5955, loss_cls: 4.1109, loss: 4.1109 2023-12-27 07:49:46,653 - pyskl - INFO - Epoch [94][3000/3746] lr: 3.082e-02, eta: 1 day, 12:47:46, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3514, top5_acc: 0.6017, loss_cls: 4.0686, loss: 4.0686 2023-12-27 07:50:46,178 - pyskl - INFO - Epoch [94][3100/3746] lr: 3.079e-02, eta: 1 day, 12:46:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3414, top5_acc: 0.5998, loss_cls: 4.1259, loss: 4.1259 2023-12-27 07:51:45,623 - pyskl - INFO - Epoch [94][3200/3746] lr: 3.077e-02, eta: 1 day, 12:45:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3403, top5_acc: 0.5959, loss_cls: 4.1337, loss: 4.1337 2023-12-27 07:52:45,461 - pyskl - INFO - Epoch [94][3300/3746] lr: 3.074e-02, eta: 1 day, 12:44:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3450, top5_acc: 0.6080, loss_cls: 4.1108, loss: 4.1108 2023-12-27 07:53:45,023 - pyskl - INFO - Epoch [94][3400/3746] lr: 3.071e-02, eta: 1 day, 12:43:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3430, top5_acc: 0.5972, loss_cls: 4.1145, loss: 4.1145 2023-12-27 07:54:44,768 - pyskl - INFO - Epoch [94][3500/3746] lr: 3.069e-02, eta: 1 day, 12:42:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3405, top5_acc: 0.6014, loss_cls: 4.1123, loss: 4.1123 2023-12-27 07:55:44,436 - pyskl - INFO - Epoch [94][3600/3746] lr: 3.066e-02, eta: 1 day, 12:41:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3352, top5_acc: 0.5992, loss_cls: 4.1222, loss: 4.1222 2023-12-27 07:56:44,098 - pyskl - INFO - Epoch [94][3700/3746] lr: 3.064e-02, eta: 1 day, 12:40:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3442, top5_acc: 0.6048, loss_cls: 4.1005, loss: 4.1005 2023-12-27 07:57:14,189 - pyskl - INFO - Saving checkpoint at 94 epochs 2023-12-27 07:59:13,618 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 07:59:14,679 - pyskl - INFO - top1_acc 0.2941 top5_acc 0.5424 2023-12-27 07:59:14,679 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 07:59:14,718 - pyskl - INFO - mean_acc 0.2939 2023-12-27 07:59:14,726 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_92.pth was removed 2023-12-27 07:59:15,009 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. 2023-12-27 07:59:15,009 - pyskl - INFO - Best top1_acc is 0.2941 at 94 epoch. 2023-12-27 07:59:15,019 - pyskl - INFO - Epoch(val) [94][309] top1_acc: 0.2941, top5_acc: 0.5424, mean_class_accuracy: 0.2939 2023-12-27 08:02:37,318 - pyskl - INFO - Epoch [95][100/3746] lr: 3.060e-02, eta: 1 day, 12:39:46, time: 2.023, data_time: 1.425, memory: 16177, top1_acc: 0.3698, top5_acc: 0.6292, loss_cls: 3.9863, loss: 3.9863 2023-12-27 08:03:37,785 - pyskl - INFO - Epoch [95][200/3746] lr: 3.057e-02, eta: 1 day, 12:38:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3531, top5_acc: 0.6106, loss_cls: 4.0393, loss: 4.0393 2023-12-27 08:04:37,884 - pyskl - INFO - Epoch [95][300/3746] lr: 3.055e-02, eta: 1 day, 12:37:37, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6000, loss_cls: 4.0939, loss: 4.0939 2023-12-27 08:05:37,349 - pyskl - INFO - Epoch [95][400/3746] lr: 3.052e-02, eta: 1 day, 12:36:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3538, top5_acc: 0.6134, loss_cls: 4.0675, loss: 4.0675 2023-12-27 08:06:37,071 - pyskl - INFO - Epoch [95][500/3746] lr: 3.050e-02, eta: 1 day, 12:35:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3400, top5_acc: 0.6014, loss_cls: 4.0930, loss: 4.0930 2023-12-27 08:07:36,691 - pyskl - INFO - Epoch [95][600/3746] lr: 3.047e-02, eta: 1 day, 12:34:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3484, top5_acc: 0.6150, loss_cls: 4.0571, loss: 4.0571 2023-12-27 08:08:36,221 - pyskl - INFO - Epoch [95][700/3746] lr: 3.044e-02, eta: 1 day, 12:33:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6119, loss_cls: 4.0451, loss: 4.0451 2023-12-27 08:09:36,192 - pyskl - INFO - Epoch [95][800/3746] lr: 3.042e-02, eta: 1 day, 12:32:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3380, top5_acc: 0.6050, loss_cls: 4.1200, loss: 4.1200 2023-12-27 08:10:36,466 - pyskl - INFO - Epoch [95][900/3746] lr: 3.039e-02, eta: 1 day, 12:31:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3502, top5_acc: 0.6116, loss_cls: 4.0652, loss: 4.0652 2023-12-27 08:11:36,138 - pyskl - INFO - Epoch [95][1000/3746] lr: 3.037e-02, eta: 1 day, 12:30:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3466, top5_acc: 0.5997, loss_cls: 4.0956, loss: 4.0956 2023-12-27 08:12:35,832 - pyskl - INFO - Epoch [95][1100/3746] lr: 3.034e-02, eta: 1 day, 12:28:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3494, top5_acc: 0.6008, loss_cls: 4.0980, loss: 4.0980 2023-12-27 08:13:35,605 - pyskl - INFO - Epoch [95][1200/3746] lr: 3.032e-02, eta: 1 day, 12:27:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3550, top5_acc: 0.6167, loss_cls: 4.0387, loss: 4.0387 2023-12-27 08:14:35,058 - pyskl - INFO - Epoch [95][1300/3746] lr: 3.029e-02, eta: 1 day, 12:26:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3447, top5_acc: 0.6045, loss_cls: 4.0962, loss: 4.0962 2023-12-27 08:15:34,637 - pyskl - INFO - Epoch [95][1400/3746] lr: 3.026e-02, eta: 1 day, 12:25:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3439, top5_acc: 0.6116, loss_cls: 4.0750, loss: 4.0750 2023-12-27 08:16:34,276 - pyskl - INFO - Epoch [95][1500/3746] lr: 3.024e-02, eta: 1 day, 12:24:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3450, top5_acc: 0.6017, loss_cls: 4.0869, loss: 4.0869 2023-12-27 08:17:33,853 - pyskl - INFO - Epoch [95][1600/3746] lr: 3.021e-02, eta: 1 day, 12:23:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3464, top5_acc: 0.5997, loss_cls: 4.0986, loss: 4.0986 2023-12-27 08:18:34,404 - pyskl - INFO - Epoch [95][1700/3746] lr: 3.019e-02, eta: 1 day, 12:22:29, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3527, top5_acc: 0.6117, loss_cls: 4.0522, loss: 4.0522 2023-12-27 08:19:35,160 - pyskl - INFO - Epoch [95][1800/3746] lr: 3.016e-02, eta: 1 day, 12:21:25, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3555, top5_acc: 0.6212, loss_cls: 4.0275, loss: 4.0275 2023-12-27 08:20:35,210 - pyskl - INFO - Epoch [95][1900/3746] lr: 3.014e-02, eta: 1 day, 12:20:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3577, top5_acc: 0.6111, loss_cls: 4.0447, loss: 4.0447 2023-12-27 08:21:35,304 - pyskl - INFO - Epoch [95][2000/3746] lr: 3.011e-02, eta: 1 day, 12:19:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3431, top5_acc: 0.6084, loss_cls: 4.0951, loss: 4.0951 2023-12-27 08:22:35,825 - pyskl - INFO - Epoch [95][2100/3746] lr: 3.008e-02, eta: 1 day, 12:18:11, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3428, top5_acc: 0.6023, loss_cls: 4.1162, loss: 4.1162 2023-12-27 08:23:35,322 - pyskl - INFO - Epoch [95][2200/3746] lr: 3.006e-02, eta: 1 day, 12:17:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3291, top5_acc: 0.5958, loss_cls: 4.1428, loss: 4.1428 2023-12-27 08:24:34,777 - pyskl - INFO - Epoch [95][2300/3746] lr: 3.003e-02, eta: 1 day, 12:16:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3434, top5_acc: 0.5989, loss_cls: 4.1180, loss: 4.1180 2023-12-27 08:25:34,282 - pyskl - INFO - Epoch [95][2400/3746] lr: 3.001e-02, eta: 1 day, 12:14:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3441, top5_acc: 0.6044, loss_cls: 4.1008, loss: 4.1008 2023-12-27 08:26:33,793 - pyskl - INFO - Epoch [95][2500/3746] lr: 2.998e-02, eta: 1 day, 12:13:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3420, top5_acc: 0.6045, loss_cls: 4.0711, loss: 4.0711 2023-12-27 08:27:33,250 - pyskl - INFO - Epoch [95][2600/3746] lr: 2.996e-02, eta: 1 day, 12:12:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3472, top5_acc: 0.6089, loss_cls: 4.0838, loss: 4.0838 2023-12-27 08:28:32,799 - pyskl - INFO - Epoch [95][2700/3746] lr: 2.993e-02, eta: 1 day, 12:11:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3441, top5_acc: 0.5972, loss_cls: 4.1073, loss: 4.1073 2023-12-27 08:29:32,321 - pyskl - INFO - Epoch [95][2800/3746] lr: 2.991e-02, eta: 1 day, 12:10:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3531, top5_acc: 0.6017, loss_cls: 4.0822, loss: 4.0822 2023-12-27 08:30:32,001 - pyskl - INFO - Epoch [95][2900/3746] lr: 2.988e-02, eta: 1 day, 12:09:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3341, top5_acc: 0.5941, loss_cls: 4.1494, loss: 4.1494 2023-12-27 08:31:31,657 - pyskl - INFO - Epoch [95][3000/3746] lr: 2.985e-02, eta: 1 day, 12:08:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3430, top5_acc: 0.6031, loss_cls: 4.1092, loss: 4.1092 2023-12-27 08:32:31,537 - pyskl - INFO - Epoch [95][3100/3746] lr: 2.983e-02, eta: 1 day, 12:07:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3430, top5_acc: 0.5978, loss_cls: 4.1170, loss: 4.1170 2023-12-27 08:33:31,656 - pyskl - INFO - Epoch [95][3200/3746] lr: 2.980e-02, eta: 1 day, 12:06:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3350, top5_acc: 0.5892, loss_cls: 4.1414, loss: 4.1414 2023-12-27 08:34:32,045 - pyskl - INFO - Epoch [95][3300/3746] lr: 2.978e-02, eta: 1 day, 12:05:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3455, top5_acc: 0.6042, loss_cls: 4.0959, loss: 4.0959 2023-12-27 08:35:31,920 - pyskl - INFO - Epoch [95][3400/3746] lr: 2.975e-02, eta: 1 day, 12:04:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3392, top5_acc: 0.6030, loss_cls: 4.1332, loss: 4.1332 2023-12-27 08:36:31,677 - pyskl - INFO - Epoch [95][3500/3746] lr: 2.973e-02, eta: 1 day, 12:03:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3411, top5_acc: 0.6038, loss_cls: 4.1249, loss: 4.1249 2023-12-27 08:37:31,508 - pyskl - INFO - Epoch [95][3600/3746] lr: 2.970e-02, eta: 1 day, 12:01:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3495, top5_acc: 0.6122, loss_cls: 4.0603, loss: 4.0603 2023-12-27 08:38:32,086 - pyskl - INFO - Epoch [95][3700/3746] lr: 2.968e-02, eta: 1 day, 12:00:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3472, top5_acc: 0.5939, loss_cls: 4.1259, loss: 4.1259 2023-12-27 08:39:02,648 - pyskl - INFO - Saving checkpoint at 95 epochs 2023-12-27 08:41:07,456 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 08:41:08,352 - pyskl - INFO - top1_acc 0.2918 top5_acc 0.5359 2023-12-27 08:41:08,352 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 08:41:08,390 - pyskl - INFO - mean_acc 0.2916 2023-12-27 08:41:08,399 - pyskl - INFO - Epoch(val) [95][309] top1_acc: 0.2918, top5_acc: 0.5359, mean_class_accuracy: 0.2916 2023-12-27 08:44:30,889 - pyskl - INFO - Epoch [96][100/3746] lr: 2.964e-02, eta: 1 day, 12:00:27, time: 2.025, data_time: 1.427, memory: 16177, top1_acc: 0.3619, top5_acc: 0.6198, loss_cls: 4.0294, loss: 4.0294 2023-12-27 08:45:31,715 - pyskl - INFO - Epoch [96][200/3746] lr: 2.961e-02, eta: 1 day, 11:59:23, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3550, top5_acc: 0.6147, loss_cls: 4.0247, loss: 4.0247 2023-12-27 08:46:31,745 - pyskl - INFO - Epoch [96][300/3746] lr: 2.959e-02, eta: 1 day, 11:58:18, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3525, top5_acc: 0.6142, loss_cls: 4.0653, loss: 4.0653 2023-12-27 08:47:31,399 - pyskl - INFO - Epoch [96][400/3746] lr: 2.956e-02, eta: 1 day, 11:57:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3438, top5_acc: 0.6083, loss_cls: 4.0966, loss: 4.0966 2023-12-27 08:48:31,274 - pyskl - INFO - Epoch [96][500/3746] lr: 2.954e-02, eta: 1 day, 11:56:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3625, top5_acc: 0.6162, loss_cls: 4.0034, loss: 4.0034 2023-12-27 08:49:31,194 - pyskl - INFO - Epoch [96][600/3746] lr: 2.951e-02, eta: 1 day, 11:55:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3545, top5_acc: 0.6031, loss_cls: 4.0737, loss: 4.0737 2023-12-27 08:50:30,533 - pyskl - INFO - Epoch [96][700/3746] lr: 2.948e-02, eta: 1 day, 11:53:59, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3547, top5_acc: 0.6120, loss_cls: 4.0547, loss: 4.0547 2023-12-27 08:51:30,230 - pyskl - INFO - Epoch [96][800/3746] lr: 2.946e-02, eta: 1 day, 11:52:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3534, top5_acc: 0.6109, loss_cls: 4.0557, loss: 4.0557 2023-12-27 08:52:30,020 - pyskl - INFO - Epoch [96][900/3746] lr: 2.943e-02, eta: 1 day, 11:51:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3514, top5_acc: 0.6038, loss_cls: 4.0768, loss: 4.0768 2023-12-27 08:53:29,929 - pyskl - INFO - Epoch [96][1000/3746] lr: 2.941e-02, eta: 1 day, 11:50:45, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3494, top5_acc: 0.6112, loss_cls: 4.0598, loss: 4.0598 2023-12-27 08:54:30,019 - pyskl - INFO - Epoch [96][1100/3746] lr: 2.938e-02, eta: 1 day, 11:49:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3473, top5_acc: 0.6031, loss_cls: 4.0813, loss: 4.0813 2023-12-27 08:55:29,895 - pyskl - INFO - Epoch [96][1200/3746] lr: 2.936e-02, eta: 1 day, 11:48:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3495, top5_acc: 0.6102, loss_cls: 4.0821, loss: 4.0821 2023-12-27 08:56:29,611 - pyskl - INFO - Epoch [96][1300/3746] lr: 2.933e-02, eta: 1 day, 11:47:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3481, top5_acc: 0.6055, loss_cls: 4.0609, loss: 4.0609 2023-12-27 08:57:29,167 - pyskl - INFO - Epoch [96][1400/3746] lr: 2.931e-02, eta: 1 day, 11:46:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3458, top5_acc: 0.6020, loss_cls: 4.0917, loss: 4.0917 2023-12-27 08:58:29,115 - pyskl - INFO - Epoch [96][1500/3746] lr: 2.928e-02, eta: 1 day, 11:45:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3516, top5_acc: 0.6142, loss_cls: 4.0634, loss: 4.0634 2023-12-27 08:59:29,074 - pyskl - INFO - Epoch [96][1600/3746] lr: 2.926e-02, eta: 1 day, 11:44:17, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3553, top5_acc: 0.6075, loss_cls: 4.0591, loss: 4.0591 2023-12-27 09:00:30,125 - pyskl - INFO - Epoch [96][1700/3746] lr: 2.923e-02, eta: 1 day, 11:43:13, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3522, top5_acc: 0.6053, loss_cls: 4.0660, loss: 4.0660 2023-12-27 09:01:31,982 - pyskl - INFO - Epoch [96][1800/3746] lr: 2.920e-02, eta: 1 day, 11:42:09, time: 0.619, data_time: 0.000, memory: 16177, top1_acc: 0.3414, top5_acc: 0.6045, loss_cls: 4.0852, loss: 4.0852 2023-12-27 09:02:31,805 - pyskl - INFO - Epoch [96][1900/3746] lr: 2.918e-02, eta: 1 day, 11:41:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3547, top5_acc: 0.6081, loss_cls: 4.0490, loss: 4.0490 2023-12-27 09:03:31,418 - pyskl - INFO - Epoch [96][2000/3746] lr: 2.915e-02, eta: 1 day, 11:40:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3412, top5_acc: 0.6100, loss_cls: 4.0807, loss: 4.0807 2023-12-27 09:04:31,065 - pyskl - INFO - Epoch [96][2100/3746] lr: 2.913e-02, eta: 1 day, 11:38:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3458, top5_acc: 0.6044, loss_cls: 4.0897, loss: 4.0897 2023-12-27 09:05:30,367 - pyskl - INFO - Epoch [96][2200/3746] lr: 2.910e-02, eta: 1 day, 11:37:50, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3522, top5_acc: 0.6139, loss_cls: 4.0412, loss: 4.0412 2023-12-27 09:06:30,190 - pyskl - INFO - Epoch [96][2300/3746] lr: 2.908e-02, eta: 1 day, 11:36:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3483, top5_acc: 0.6017, loss_cls: 4.0776, loss: 4.0776 2023-12-27 09:07:30,818 - pyskl - INFO - Epoch [96][2400/3746] lr: 2.905e-02, eta: 1 day, 11:35:41, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3402, top5_acc: 0.6061, loss_cls: 4.1039, loss: 4.1039 2023-12-27 09:08:31,374 - pyskl - INFO - Epoch [96][2500/3746] lr: 2.903e-02, eta: 1 day, 11:34:37, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3414, top5_acc: 0.5994, loss_cls: 4.0934, loss: 4.0934 2023-12-27 09:09:32,133 - pyskl - INFO - Epoch [96][2600/3746] lr: 2.900e-02, eta: 1 day, 11:33:32, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3456, top5_acc: 0.5997, loss_cls: 4.0983, loss: 4.0983 2023-12-27 09:10:32,529 - pyskl - INFO - Epoch [96][2700/3746] lr: 2.898e-02, eta: 1 day, 11:32:28, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3427, top5_acc: 0.5989, loss_cls: 4.1048, loss: 4.1048 2023-12-27 09:11:32,371 - pyskl - INFO - Epoch [96][2800/3746] lr: 2.895e-02, eta: 1 day, 11:31:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3417, top5_acc: 0.6084, loss_cls: 4.1012, loss: 4.1012 2023-12-27 09:12:31,818 - pyskl - INFO - Epoch [96][2900/3746] lr: 2.893e-02, eta: 1 day, 11:30:18, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3292, top5_acc: 0.5875, loss_cls: 4.1767, loss: 4.1767 2023-12-27 09:13:31,415 - pyskl - INFO - Epoch [96][3000/3746] lr: 2.890e-02, eta: 1 day, 11:29:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3472, top5_acc: 0.6128, loss_cls: 4.0829, loss: 4.0829 2023-12-27 09:14:30,991 - pyskl - INFO - Epoch [96][3100/3746] lr: 2.887e-02, eta: 1 day, 11:28:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3544, top5_acc: 0.6069, loss_cls: 4.0690, loss: 4.0690 2023-12-27 09:15:30,672 - pyskl - INFO - Epoch [96][3200/3746] lr: 2.885e-02, eta: 1 day, 11:27:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3436, top5_acc: 0.6028, loss_cls: 4.0989, loss: 4.0989 2023-12-27 09:16:30,311 - pyskl - INFO - Epoch [96][3300/3746] lr: 2.882e-02, eta: 1 day, 11:25:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3552, top5_acc: 0.6123, loss_cls: 4.0449, loss: 4.0449 2023-12-27 09:17:29,948 - pyskl - INFO - Epoch [96][3400/3746] lr: 2.880e-02, eta: 1 day, 11:24:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3500, top5_acc: 0.6072, loss_cls: 4.0608, loss: 4.0608 2023-12-27 09:18:29,537 - pyskl - INFO - Epoch [96][3500/3746] lr: 2.877e-02, eta: 1 day, 11:23:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3464, top5_acc: 0.6008, loss_cls: 4.1258, loss: 4.1258 2023-12-27 09:19:29,286 - pyskl - INFO - Epoch [96][3600/3746] lr: 2.875e-02, eta: 1 day, 11:22:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3627, top5_acc: 0.6216, loss_cls: 4.0184, loss: 4.0184 2023-12-27 09:20:28,798 - pyskl - INFO - Epoch [96][3700/3746] lr: 2.872e-02, eta: 1 day, 11:21:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3439, top5_acc: 0.6064, loss_cls: 4.0950, loss: 4.0950 2023-12-27 09:20:58,811 - pyskl - INFO - Saving checkpoint at 96 epochs 2023-12-27 09:23:00,319 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 09:23:01,099 - pyskl - INFO - top1_acc 0.2701 top5_acc 0.5128 2023-12-27 09:23:01,100 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 09:23:01,136 - pyskl - INFO - mean_acc 0.2699 2023-12-27 09:23:01,145 - pyskl - INFO - Epoch(val) [96][309] top1_acc: 0.2701, top5_acc: 0.5128, mean_class_accuracy: 0.2699 2023-12-27 09:26:26,155 - pyskl - INFO - Epoch [97][100/3746] lr: 2.869e-02, eta: 1 day, 11:21:12, time: 2.050, data_time: 1.449, memory: 16177, top1_acc: 0.3494, top5_acc: 0.6188, loss_cls: 4.0396, loss: 4.0396 2023-12-27 09:27:26,328 - pyskl - INFO - Epoch [97][200/3746] lr: 2.866e-02, eta: 1 day, 11:20:07, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6150, loss_cls: 4.0407, loss: 4.0407 2023-12-27 09:28:26,737 - pyskl - INFO - Epoch [97][300/3746] lr: 2.864e-02, eta: 1 day, 11:19:03, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3605, top5_acc: 0.6177, loss_cls: 4.0164, loss: 4.0164 2023-12-27 09:29:26,990 - pyskl - INFO - Epoch [97][400/3746] lr: 2.861e-02, eta: 1 day, 11:17:59, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3445, top5_acc: 0.6125, loss_cls: 4.0651, loss: 4.0651 2023-12-27 09:30:26,589 - pyskl - INFO - Epoch [97][500/3746] lr: 2.858e-02, eta: 1 day, 11:16:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3488, top5_acc: 0.6191, loss_cls: 4.0412, loss: 4.0412 2023-12-27 09:31:26,461 - pyskl - INFO - Epoch [97][600/3746] lr: 2.856e-02, eta: 1 day, 11:15:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3583, top5_acc: 0.6173, loss_cls: 4.0267, loss: 4.0267 2023-12-27 09:32:26,084 - pyskl - INFO - Epoch [97][700/3746] lr: 2.853e-02, eta: 1 day, 11:14:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3595, top5_acc: 0.6192, loss_cls: 3.9970, loss: 3.9970 2023-12-27 09:33:25,709 - pyskl - INFO - Epoch [97][800/3746] lr: 2.851e-02, eta: 1 day, 11:13:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3497, top5_acc: 0.6028, loss_cls: 4.0713, loss: 4.0713 2023-12-27 09:34:25,332 - pyskl - INFO - Epoch [97][900/3746] lr: 2.848e-02, eta: 1 day, 11:12:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3459, top5_acc: 0.6042, loss_cls: 4.0874, loss: 4.0874 2023-12-27 09:35:25,213 - pyskl - INFO - Epoch [97][1000/3746] lr: 2.846e-02, eta: 1 day, 11:11:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3506, top5_acc: 0.6148, loss_cls: 4.0458, loss: 4.0458 2023-12-27 09:36:25,664 - pyskl - INFO - Epoch [97][1100/3746] lr: 2.843e-02, eta: 1 day, 11:10:26, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3539, top5_acc: 0.5986, loss_cls: 4.0624, loss: 4.0624 2023-12-27 09:37:26,205 - pyskl - INFO - Epoch [97][1200/3746] lr: 2.841e-02, eta: 1 day, 11:09:21, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3505, top5_acc: 0.6095, loss_cls: 4.0744, loss: 4.0744 2023-12-27 09:38:25,917 - pyskl - INFO - Epoch [97][1300/3746] lr: 2.838e-02, eta: 1 day, 11:08:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3613, top5_acc: 0.6225, loss_cls: 4.0056, loss: 4.0056 2023-12-27 09:39:25,730 - pyskl - INFO - Epoch [97][1400/3746] lr: 2.836e-02, eta: 1 day, 11:07:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3527, top5_acc: 0.6095, loss_cls: 4.0521, loss: 4.0521 2023-12-27 09:40:25,482 - pyskl - INFO - Epoch [97][1500/3746] lr: 2.833e-02, eta: 1 day, 11:06:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3564, top5_acc: 0.6156, loss_cls: 4.0206, loss: 4.0206 2023-12-27 09:41:24,956 - pyskl - INFO - Epoch [97][1600/3746] lr: 2.831e-02, eta: 1 day, 11:05:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3513, top5_acc: 0.6075, loss_cls: 4.0659, loss: 4.0659 2023-12-27 09:42:26,051 - pyskl - INFO - Epoch [97][1700/3746] lr: 2.828e-02, eta: 1 day, 11:03:59, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3473, top5_acc: 0.6094, loss_cls: 4.0626, loss: 4.0626 2023-12-27 09:43:27,761 - pyskl - INFO - Epoch [97][1800/3746] lr: 2.826e-02, eta: 1 day, 11:02:55, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.3434, top5_acc: 0.6050, loss_cls: 4.0951, loss: 4.0951 2023-12-27 09:44:28,124 - pyskl - INFO - Epoch [97][1900/3746] lr: 2.823e-02, eta: 1 day, 11:01:51, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3434, top5_acc: 0.6088, loss_cls: 4.0792, loss: 4.0792 2023-12-27 09:45:27,751 - pyskl - INFO - Epoch [97][2000/3746] lr: 2.821e-02, eta: 1 day, 11:00:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3438, top5_acc: 0.5964, loss_cls: 4.1254, loss: 4.1254 2023-12-27 09:46:27,659 - pyskl - INFO - Epoch [97][2100/3746] lr: 2.818e-02, eta: 1 day, 10:59:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3569, top5_acc: 0.6120, loss_cls: 4.0453, loss: 4.0453 2023-12-27 09:47:26,987 - pyskl - INFO - Epoch [97][2200/3746] lr: 2.816e-02, eta: 1 day, 10:58:36, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3509, top5_acc: 0.6134, loss_cls: 4.0542, loss: 4.0542 2023-12-27 09:48:26,364 - pyskl - INFO - Epoch [97][2300/3746] lr: 2.813e-02, eta: 1 day, 10:57:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3506, top5_acc: 0.6061, loss_cls: 4.0749, loss: 4.0749 2023-12-27 09:49:25,843 - pyskl - INFO - Epoch [97][2400/3746] lr: 2.811e-02, eta: 1 day, 10:56:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3473, top5_acc: 0.6111, loss_cls: 4.0654, loss: 4.0654 2023-12-27 09:50:25,609 - pyskl - INFO - Epoch [97][2500/3746] lr: 2.808e-02, eta: 1 day, 10:55:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3555, top5_acc: 0.6145, loss_cls: 4.0459, loss: 4.0459 2023-12-27 09:51:25,419 - pyskl - INFO - Epoch [97][2600/3746] lr: 2.806e-02, eta: 1 day, 10:54:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3491, top5_acc: 0.6075, loss_cls: 4.0720, loss: 4.0720 2023-12-27 09:52:25,608 - pyskl - INFO - Epoch [97][2700/3746] lr: 2.803e-02, eta: 1 day, 10:53:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3488, top5_acc: 0.6034, loss_cls: 4.0898, loss: 4.0898 2023-12-27 09:53:25,157 - pyskl - INFO - Epoch [97][2800/3746] lr: 2.801e-02, eta: 1 day, 10:52:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3484, top5_acc: 0.6105, loss_cls: 4.0770, loss: 4.0770 2023-12-27 09:54:25,038 - pyskl - INFO - Epoch [97][2900/3746] lr: 2.798e-02, eta: 1 day, 10:51:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3509, top5_acc: 0.6030, loss_cls: 4.0764, loss: 4.0764 2023-12-27 09:55:24,537 - pyskl - INFO - Epoch [97][3000/3746] lr: 2.796e-02, eta: 1 day, 10:49:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3531, top5_acc: 0.6128, loss_cls: 4.0360, loss: 4.0360 2023-12-27 09:56:23,878 - pyskl - INFO - Epoch [97][3100/3746] lr: 2.793e-02, eta: 1 day, 10:48:54, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3442, top5_acc: 0.6122, loss_cls: 4.0702, loss: 4.0702 2023-12-27 09:57:23,229 - pyskl - INFO - Epoch [97][3200/3746] lr: 2.791e-02, eta: 1 day, 10:47:49, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3480, top5_acc: 0.6053, loss_cls: 4.0864, loss: 4.0864 2023-12-27 09:58:22,532 - pyskl - INFO - Epoch [97][3300/3746] lr: 2.788e-02, eta: 1 day, 10:46:44, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3577, top5_acc: 0.5998, loss_cls: 4.0642, loss: 4.0642 2023-12-27 09:59:22,494 - pyskl - INFO - Epoch [97][3400/3746] lr: 2.786e-02, eta: 1 day, 10:45:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6147, loss_cls: 4.0807, loss: 4.0807 2023-12-27 10:00:21,980 - pyskl - INFO - Epoch [97][3500/3746] lr: 2.783e-02, eta: 1 day, 10:44:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3481, top5_acc: 0.6059, loss_cls: 4.0584, loss: 4.0584 2023-12-27 10:01:21,076 - pyskl - INFO - Epoch [97][3600/3746] lr: 2.781e-02, eta: 1 day, 10:43:29, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3542, top5_acc: 0.6106, loss_cls: 4.0759, loss: 4.0759 2023-12-27 10:02:20,574 - pyskl - INFO - Epoch [97][3700/3746] lr: 2.778e-02, eta: 1 day, 10:42:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3528, top5_acc: 0.6103, loss_cls: 4.0656, loss: 4.0656 2023-12-27 10:02:50,607 - pyskl - INFO - Saving checkpoint at 97 epochs 2023-12-27 10:04:50,280 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 10:04:51,058 - pyskl - INFO - top1_acc 0.2748 top5_acc 0.5254 2023-12-27 10:04:51,058 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 10:04:51,098 - pyskl - INFO - mean_acc 0.2748 2023-12-27 10:04:51,108 - pyskl - INFO - Epoch(val) [97][309] top1_acc: 0.2748, top5_acc: 0.5254, mean_class_accuracy: 0.2748 2023-12-27 10:08:14,660 - pyskl - INFO - Epoch [98][100/3746] lr: 2.774e-02, eta: 1 day, 10:41:54, time: 2.035, data_time: 1.438, memory: 16177, top1_acc: 0.3778, top5_acc: 0.6312, loss_cls: 3.9390, loss: 3.9390 2023-12-27 10:09:15,235 - pyskl - INFO - Epoch [98][200/3746] lr: 2.772e-02, eta: 1 day, 10:40:50, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3591, top5_acc: 0.6181, loss_cls: 4.0078, loss: 4.0078 2023-12-27 10:10:15,328 - pyskl - INFO - Epoch [98][300/3746] lr: 2.769e-02, eta: 1 day, 10:39:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3597, top5_acc: 0.6220, loss_cls: 4.0136, loss: 4.0136 2023-12-27 10:11:15,266 - pyskl - INFO - Epoch [98][400/3746] lr: 2.767e-02, eta: 1 day, 10:38:40, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3552, top5_acc: 0.6194, loss_cls: 4.0200, loss: 4.0200 2023-12-27 10:12:14,883 - pyskl - INFO - Epoch [98][500/3746] lr: 2.764e-02, eta: 1 day, 10:37:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3613, top5_acc: 0.6194, loss_cls: 4.0189, loss: 4.0189 2023-12-27 10:13:14,331 - pyskl - INFO - Epoch [98][600/3746] lr: 2.762e-02, eta: 1 day, 10:36:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3544, top5_acc: 0.6141, loss_cls: 4.0381, loss: 4.0381 2023-12-27 10:14:13,665 - pyskl - INFO - Epoch [98][700/3746] lr: 2.759e-02, eta: 1 day, 10:35:26, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3502, top5_acc: 0.6169, loss_cls: 4.0376, loss: 4.0376 2023-12-27 10:15:13,020 - pyskl - INFO - Epoch [98][800/3746] lr: 2.757e-02, eta: 1 day, 10:34:21, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3542, top5_acc: 0.6077, loss_cls: 4.0565, loss: 4.0565 2023-12-27 10:16:12,446 - pyskl - INFO - Epoch [98][900/3746] lr: 2.754e-02, eta: 1 day, 10:33:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3492, top5_acc: 0.6062, loss_cls: 4.0530, loss: 4.0530 2023-12-27 10:17:11,938 - pyskl - INFO - Epoch [98][1000/3746] lr: 2.752e-02, eta: 1 day, 10:32:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3577, top5_acc: 0.6277, loss_cls: 3.9965, loss: 3.9965 2023-12-27 10:18:11,540 - pyskl - INFO - Epoch [98][1100/3746] lr: 2.749e-02, eta: 1 day, 10:31:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3447, top5_acc: 0.6062, loss_cls: 4.0760, loss: 4.0760 2023-12-27 10:19:11,036 - pyskl - INFO - Epoch [98][1200/3746] lr: 2.747e-02, eta: 1 day, 10:30:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3550, top5_acc: 0.6092, loss_cls: 4.0503, loss: 4.0503 2023-12-27 10:20:10,742 - pyskl - INFO - Epoch [98][1300/3746] lr: 2.744e-02, eta: 1 day, 10:28:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3494, top5_acc: 0.6012, loss_cls: 4.0720, loss: 4.0720 2023-12-27 10:21:10,423 - pyskl - INFO - Epoch [98][1400/3746] lr: 2.742e-02, eta: 1 day, 10:27:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3578, top5_acc: 0.6230, loss_cls: 4.0263, loss: 4.0263 2023-12-27 10:22:10,176 - pyskl - INFO - Epoch [98][1500/3746] lr: 2.739e-02, eta: 1 day, 10:26:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3580, top5_acc: 0.6083, loss_cls: 4.0432, loss: 4.0432 2023-12-27 10:23:09,833 - pyskl - INFO - Epoch [98][1600/3746] lr: 2.737e-02, eta: 1 day, 10:25:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3478, top5_acc: 0.6034, loss_cls: 4.0762, loss: 4.0762 2023-12-27 10:24:10,578 - pyskl - INFO - Epoch [98][1700/3746] lr: 2.734e-02, eta: 1 day, 10:24:39, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3452, top5_acc: 0.6084, loss_cls: 4.0932, loss: 4.0932 2023-12-27 10:25:12,061 - pyskl - INFO - Epoch [98][1800/3746] lr: 2.732e-02, eta: 1 day, 10:23:35, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3592, top5_acc: 0.6075, loss_cls: 4.0420, loss: 4.0420 2023-12-27 10:26:12,292 - pyskl - INFO - Epoch [98][1900/3746] lr: 2.729e-02, eta: 1 day, 10:22:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3475, top5_acc: 0.6034, loss_cls: 4.0947, loss: 4.0947 2023-12-27 10:27:12,173 - pyskl - INFO - Epoch [98][2000/3746] lr: 2.727e-02, eta: 1 day, 10:21:26, time: 0.599, data_time: 0.001, memory: 16177, top1_acc: 0.3545, top5_acc: 0.6102, loss_cls: 4.0386, loss: 4.0386 2023-12-27 10:28:12,632 - pyskl - INFO - Epoch [98][2100/3746] lr: 2.724e-02, eta: 1 day, 10:20:22, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3394, top5_acc: 0.6036, loss_cls: 4.0905, loss: 4.0905 2023-12-27 10:29:11,980 - pyskl - INFO - Epoch [98][2200/3746] lr: 2.722e-02, eta: 1 day, 10:19:17, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3620, top5_acc: 0.6208, loss_cls: 4.0278, loss: 4.0278 2023-12-27 10:30:11,486 - pyskl - INFO - Epoch [98][2300/3746] lr: 2.719e-02, eta: 1 day, 10:18:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3558, top5_acc: 0.6158, loss_cls: 4.0097, loss: 4.0097 2023-12-27 10:31:10,942 - pyskl - INFO - Epoch [98][2400/3746] lr: 2.717e-02, eta: 1 day, 10:17:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3500, top5_acc: 0.6106, loss_cls: 4.0553, loss: 4.0553 2023-12-27 10:32:10,803 - pyskl - INFO - Epoch [98][2500/3746] lr: 2.714e-02, eta: 1 day, 10:16:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3698, top5_acc: 0.6208, loss_cls: 3.9930, loss: 3.9930 2023-12-27 10:33:10,835 - pyskl - INFO - Epoch [98][2600/3746] lr: 2.712e-02, eta: 1 day, 10:14:59, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6119, loss_cls: 4.0539, loss: 4.0539 2023-12-27 10:34:10,592 - pyskl - INFO - Epoch [98][2700/3746] lr: 2.709e-02, eta: 1 day, 10:13:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3502, top5_acc: 0.6162, loss_cls: 4.0723, loss: 4.0723 2023-12-27 10:35:10,011 - pyskl - INFO - Epoch [98][2800/3746] lr: 2.707e-02, eta: 1 day, 10:12:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3414, top5_acc: 0.6089, loss_cls: 4.0815, loss: 4.0815 2023-12-27 10:36:10,047 - pyskl - INFO - Epoch [98][2900/3746] lr: 2.705e-02, eta: 1 day, 10:11:45, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3542, top5_acc: 0.6188, loss_cls: 4.0258, loss: 4.0258 2023-12-27 10:37:10,292 - pyskl - INFO - Epoch [98][3000/3746] lr: 2.702e-02, eta: 1 day, 10:10:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3547, top5_acc: 0.6125, loss_cls: 4.0580, loss: 4.0580 2023-12-27 10:38:10,679 - pyskl - INFO - Epoch [98][3100/3746] lr: 2.700e-02, eta: 1 day, 10:09:36, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3466, top5_acc: 0.5992, loss_cls: 4.1047, loss: 4.1047 2023-12-27 10:39:10,820 - pyskl - INFO - Epoch [98][3200/3746] lr: 2.697e-02, eta: 1 day, 10:08:32, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3525, top5_acc: 0.6145, loss_cls: 4.0571, loss: 4.0571 2023-12-27 10:40:10,513 - pyskl - INFO - Epoch [98][3300/3746] lr: 2.695e-02, eta: 1 day, 10:07:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3380, top5_acc: 0.6005, loss_cls: 4.1132, loss: 4.1132 2023-12-27 10:41:10,621 - pyskl - INFO - Epoch [98][3400/3746] lr: 2.692e-02, eta: 1 day, 10:06:23, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3598, top5_acc: 0.6106, loss_cls: 4.0386, loss: 4.0386 2023-12-27 10:42:10,527 - pyskl - INFO - Epoch [98][3500/3746] lr: 2.690e-02, eta: 1 day, 10:05:18, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3488, top5_acc: 0.6222, loss_cls: 4.0486, loss: 4.0486 2023-12-27 10:43:10,840 - pyskl - INFO - Epoch [98][3600/3746] lr: 2.687e-02, eta: 1 day, 10:04:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3516, top5_acc: 0.6053, loss_cls: 4.0678, loss: 4.0678 2023-12-27 10:44:11,214 - pyskl - INFO - Epoch [98][3700/3746] lr: 2.685e-02, eta: 1 day, 10:03:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3531, top5_acc: 0.6034, loss_cls: 4.0860, loss: 4.0860 2023-12-27 10:44:41,317 - pyskl - INFO - Saving checkpoint at 98 epochs 2023-12-27 10:46:41,856 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 10:46:42,654 - pyskl - INFO - top1_acc 0.2860 top5_acc 0.5445 2023-12-27 10:46:42,654 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 10:46:42,692 - pyskl - INFO - mean_acc 0.2858 2023-12-27 10:46:42,701 - pyskl - INFO - Epoch(val) [98][309] top1_acc: 0.2860, top5_acc: 0.5445, mean_class_accuracy: 0.2858 2023-12-27 10:50:04,995 - pyskl - INFO - Epoch [99][100/3746] lr: 2.681e-02, eta: 1 day, 10:02:36, time: 2.023, data_time: 1.422, memory: 16177, top1_acc: 0.3609, top5_acc: 0.6275, loss_cls: 4.0023, loss: 4.0023 2023-12-27 10:51:05,361 - pyskl - INFO - Epoch [99][200/3746] lr: 2.679e-02, eta: 1 day, 10:01:32, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3664, top5_acc: 0.6209, loss_cls: 3.9843, loss: 3.9843 2023-12-27 10:52:05,449 - pyskl - INFO - Epoch [99][300/3746] lr: 2.676e-02, eta: 1 day, 10:00:27, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3681, top5_acc: 0.6173, loss_cls: 3.9823, loss: 3.9823 2023-12-27 10:53:05,273 - pyskl - INFO - Epoch [99][400/3746] lr: 2.674e-02, eta: 1 day, 9:59:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3600, top5_acc: 0.6192, loss_cls: 4.0217, loss: 4.0217 2023-12-27 10:54:05,468 - pyskl - INFO - Epoch [99][500/3746] lr: 2.671e-02, eta: 1 day, 9:58:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3491, top5_acc: 0.6155, loss_cls: 4.0442, loss: 4.0442 2023-12-27 10:55:05,360 - pyskl - INFO - Epoch [99][600/3746] lr: 2.669e-02, eta: 1 day, 9:57:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3655, top5_acc: 0.6319, loss_cls: 3.9544, loss: 3.9544 2023-12-27 10:56:04,841 - pyskl - INFO - Epoch [99][700/3746] lr: 2.666e-02, eta: 1 day, 9:56:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3489, top5_acc: 0.6127, loss_cls: 4.0485, loss: 4.0485 2023-12-27 10:57:04,615 - pyskl - INFO - Epoch [99][800/3746] lr: 2.664e-02, eta: 1 day, 9:55:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3602, top5_acc: 0.6130, loss_cls: 4.0045, loss: 4.0045 2023-12-27 10:58:04,414 - pyskl - INFO - Epoch [99][900/3746] lr: 2.661e-02, eta: 1 day, 9:54:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3594, top5_acc: 0.6216, loss_cls: 4.0294, loss: 4.0294 2023-12-27 10:59:04,540 - pyskl - INFO - Epoch [99][1000/3746] lr: 2.659e-02, eta: 1 day, 9:52:55, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3619, top5_acc: 0.6178, loss_cls: 4.0011, loss: 4.0011 2023-12-27 11:00:04,987 - pyskl - INFO - Epoch [99][1100/3746] lr: 2.656e-02, eta: 1 day, 9:51:51, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3573, top5_acc: 0.6114, loss_cls: 4.0304, loss: 4.0304 2023-12-27 11:01:06,038 - pyskl - INFO - Epoch [99][1200/3746] lr: 2.654e-02, eta: 1 day, 9:50:47, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3561, top5_acc: 0.6116, loss_cls: 4.0277, loss: 4.0277 2023-12-27 11:02:06,332 - pyskl - INFO - Epoch [99][1300/3746] lr: 2.651e-02, eta: 1 day, 9:49:43, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3572, top5_acc: 0.6200, loss_cls: 4.0068, loss: 4.0068 2023-12-27 11:03:06,924 - pyskl - INFO - Epoch [99][1400/3746] lr: 2.649e-02, eta: 1 day, 9:48:39, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3634, top5_acc: 0.6194, loss_cls: 4.0167, loss: 4.0167 2023-12-27 11:04:06,532 - pyskl - INFO - Epoch [99][1500/3746] lr: 2.646e-02, eta: 1 day, 9:47:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3719, top5_acc: 0.6233, loss_cls: 3.9905, loss: 3.9905 2023-12-27 11:05:05,786 - pyskl - INFO - Epoch [99][1600/3746] lr: 2.644e-02, eta: 1 day, 9:46:29, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3439, top5_acc: 0.5989, loss_cls: 4.1231, loss: 4.1231 2023-12-27 11:06:05,760 - pyskl - INFO - Epoch [99][1700/3746] lr: 2.642e-02, eta: 1 day, 9:45:25, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3561, top5_acc: 0.6100, loss_cls: 4.0521, loss: 4.0521 2023-12-27 11:07:07,653 - pyskl - INFO - Epoch [99][1800/3746] lr: 2.639e-02, eta: 1 day, 9:44:21, time: 0.619, data_time: 0.000, memory: 16177, top1_acc: 0.3472, top5_acc: 0.6095, loss_cls: 4.0611, loss: 4.0611 2023-12-27 11:08:08,052 - pyskl - INFO - Epoch [99][1900/3746] lr: 2.637e-02, eta: 1 day, 9:43:17, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3656, top5_acc: 0.6222, loss_cls: 3.9919, loss: 3.9919 2023-12-27 11:09:07,587 - pyskl - INFO - Epoch [99][2000/3746] lr: 2.634e-02, eta: 1 day, 9:42:12, time: 0.595, data_time: 0.001, memory: 16177, top1_acc: 0.3583, top5_acc: 0.6162, loss_cls: 4.0399, loss: 4.0399 2023-12-27 11:10:07,763 - pyskl - INFO - Epoch [99][2100/3746] lr: 2.632e-02, eta: 1 day, 9:41:08, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3595, top5_acc: 0.6231, loss_cls: 4.0089, loss: 4.0089 2023-12-27 11:11:07,762 - pyskl - INFO - Epoch [99][2200/3746] lr: 2.629e-02, eta: 1 day, 9:40:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3563, top5_acc: 0.6108, loss_cls: 4.0781, loss: 4.0781 2023-12-27 11:12:07,456 - pyskl - INFO - Epoch [99][2300/3746] lr: 2.627e-02, eta: 1 day, 9:38:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3533, top5_acc: 0.6162, loss_cls: 4.0329, loss: 4.0329 2023-12-27 11:13:07,177 - pyskl - INFO - Epoch [99][2400/3746] lr: 2.624e-02, eta: 1 day, 9:37:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3630, top5_acc: 0.6245, loss_cls: 4.0040, loss: 4.0040 2023-12-27 11:14:06,673 - pyskl - INFO - Epoch [99][2500/3746] lr: 2.622e-02, eta: 1 day, 9:36:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3577, top5_acc: 0.6111, loss_cls: 4.0356, loss: 4.0356 2023-12-27 11:15:05,926 - pyskl - INFO - Epoch [99][2600/3746] lr: 2.619e-02, eta: 1 day, 9:35:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3531, top5_acc: 0.6139, loss_cls: 4.0440, loss: 4.0440 2023-12-27 11:16:05,196 - pyskl - INFO - Epoch [99][2700/3746] lr: 2.617e-02, eta: 1 day, 9:34:40, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3611, top5_acc: 0.6203, loss_cls: 4.0288, loss: 4.0288 2023-12-27 11:17:04,834 - pyskl - INFO - Epoch [99][2800/3746] lr: 2.614e-02, eta: 1 day, 9:33:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3639, top5_acc: 0.6159, loss_cls: 4.0210, loss: 4.0210 2023-12-27 11:18:04,540 - pyskl - INFO - Epoch [99][2900/3746] lr: 2.612e-02, eta: 1 day, 9:32:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3575, top5_acc: 0.6094, loss_cls: 4.0243, loss: 4.0243 2023-12-27 11:19:04,170 - pyskl - INFO - Epoch [99][3000/3746] lr: 2.610e-02, eta: 1 day, 9:31:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3678, top5_acc: 0.6259, loss_cls: 4.0001, loss: 4.0001 2023-12-27 11:20:03,687 - pyskl - INFO - Epoch [99][3100/3746] lr: 2.607e-02, eta: 1 day, 9:30:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6106, loss_cls: 4.0599, loss: 4.0599 2023-12-27 11:21:03,276 - pyskl - INFO - Epoch [99][3200/3746] lr: 2.605e-02, eta: 1 day, 9:29:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3545, top5_acc: 0.6114, loss_cls: 4.0686, loss: 4.0686 2023-12-27 11:22:03,328 - pyskl - INFO - Epoch [99][3300/3746] lr: 2.602e-02, eta: 1 day, 9:28:12, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3580, top5_acc: 0.6219, loss_cls: 4.0221, loss: 4.0221 2023-12-27 11:23:03,073 - pyskl - INFO - Epoch [99][3400/3746] lr: 2.600e-02, eta: 1 day, 9:27:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3480, top5_acc: 0.6055, loss_cls: 4.0642, loss: 4.0642 2023-12-27 11:24:03,592 - pyskl - INFO - Epoch [99][3500/3746] lr: 2.597e-02, eta: 1 day, 9:26:03, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3588, top5_acc: 0.6095, loss_cls: 4.0572, loss: 4.0572 2023-12-27 11:25:03,547 - pyskl - INFO - Epoch [99][3600/3746] lr: 2.595e-02, eta: 1 day, 9:24:59, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3530, top5_acc: 0.6059, loss_cls: 4.0618, loss: 4.0618 2023-12-27 11:26:03,047 - pyskl - INFO - Epoch [99][3700/3746] lr: 2.592e-02, eta: 1 day, 9:23:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3553, top5_acc: 0.6114, loss_cls: 4.0380, loss: 4.0380 2023-12-27 11:26:32,893 - pyskl - INFO - Saving checkpoint at 99 epochs 2023-12-27 11:28:31,072 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 11:28:31,879 - pyskl - INFO - top1_acc 0.2970 top5_acc 0.5567 2023-12-27 11:28:31,879 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 11:28:31,912 - pyskl - INFO - mean_acc 0.2966 2023-12-27 11:28:31,918 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_94.pth was removed 2023-12-27 11:28:32,149 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. 2023-12-27 11:28:32,150 - pyskl - INFO - Best top1_acc is 0.2970 at 99 epoch. 2023-12-27 11:28:32,159 - pyskl - INFO - Epoch(val) [99][309] top1_acc: 0.2970, top5_acc: 0.5567, mean_class_accuracy: 0.2966 2023-12-27 11:31:54,862 - pyskl - INFO - Epoch [100][100/3746] lr: 2.589e-02, eta: 1 day, 9:23:19, time: 2.027, data_time: 1.425, memory: 16177, top1_acc: 0.3639, top5_acc: 0.6269, loss_cls: 3.9803, loss: 3.9803 2023-12-27 11:32:55,872 - pyskl - INFO - Epoch [100][200/3746] lr: 2.586e-02, eta: 1 day, 9:22:15, time: 0.610, data_time: 0.001, memory: 16177, top1_acc: 0.3639, top5_acc: 0.6284, loss_cls: 3.9593, loss: 3.9593 2023-12-27 11:33:55,549 - pyskl - INFO - Epoch [100][300/3746] lr: 2.584e-02, eta: 1 day, 9:21:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3581, top5_acc: 0.6161, loss_cls: 4.0191, loss: 4.0191 2023-12-27 11:34:55,054 - pyskl - INFO - Epoch [100][400/3746] lr: 2.581e-02, eta: 1 day, 9:20:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3652, top5_acc: 0.6255, loss_cls: 3.9801, loss: 3.9801 2023-12-27 11:35:54,514 - pyskl - INFO - Epoch [100][500/3746] lr: 2.579e-02, eta: 1 day, 9:19:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3655, top5_acc: 0.6247, loss_cls: 3.9796, loss: 3.9796 2023-12-27 11:36:54,242 - pyskl - INFO - Epoch [100][600/3746] lr: 2.577e-02, eta: 1 day, 9:17:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3605, top5_acc: 0.6181, loss_cls: 3.9970, loss: 3.9970 2023-12-27 11:37:53,627 - pyskl - INFO - Epoch [100][700/3746] lr: 2.574e-02, eta: 1 day, 9:16:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3575, top5_acc: 0.6131, loss_cls: 4.0231, loss: 4.0231 2023-12-27 11:38:53,118 - pyskl - INFO - Epoch [100][800/3746] lr: 2.572e-02, eta: 1 day, 9:15:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3586, top5_acc: 0.6198, loss_cls: 4.0037, loss: 4.0037 2023-12-27 11:39:52,592 - pyskl - INFO - Epoch [100][900/3746] lr: 2.569e-02, eta: 1 day, 9:14:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3686, top5_acc: 0.6306, loss_cls: 3.9661, loss: 3.9661 2023-12-27 11:40:52,191 - pyskl - INFO - Epoch [100][1000/3746] lr: 2.567e-02, eta: 1 day, 9:13:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3603, top5_acc: 0.6173, loss_cls: 4.0143, loss: 4.0143 2023-12-27 11:41:51,664 - pyskl - INFO - Epoch [100][1100/3746] lr: 2.564e-02, eta: 1 day, 9:12:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3614, top5_acc: 0.6200, loss_cls: 3.9984, loss: 3.9984 2023-12-27 11:42:51,335 - pyskl - INFO - Epoch [100][1200/3746] lr: 2.562e-02, eta: 1 day, 9:11:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3725, top5_acc: 0.6291, loss_cls: 3.9514, loss: 3.9514 2023-12-27 11:43:51,330 - pyskl - INFO - Epoch [100][1300/3746] lr: 2.559e-02, eta: 1 day, 9:10:24, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3691, top5_acc: 0.6273, loss_cls: 3.9941, loss: 3.9941 2023-12-27 11:44:50,894 - pyskl - INFO - Epoch [100][1400/3746] lr: 2.557e-02, eta: 1 day, 9:09:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3620, top5_acc: 0.6134, loss_cls: 4.0051, loss: 4.0051 2023-12-27 11:45:51,545 - pyskl - INFO - Epoch [100][1500/3746] lr: 2.555e-02, eta: 1 day, 9:08:15, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3570, top5_acc: 0.6208, loss_cls: 4.0065, loss: 4.0065 2023-12-27 11:46:51,538 - pyskl - INFO - Epoch [100][1600/3746] lr: 2.552e-02, eta: 1 day, 9:07:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3692, top5_acc: 0.6158, loss_cls: 4.0197, loss: 4.0197 2023-12-27 11:47:51,401 - pyskl - INFO - Epoch [100][1700/3746] lr: 2.550e-02, eta: 1 day, 9:06:06, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3658, top5_acc: 0.6267, loss_cls: 3.9713, loss: 3.9713 2023-12-27 11:48:52,373 - pyskl - INFO - Epoch [100][1800/3746] lr: 2.547e-02, eta: 1 day, 9:05:03, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3544, top5_acc: 0.6195, loss_cls: 4.0426, loss: 4.0426 2023-12-27 11:49:52,568 - pyskl - INFO - Epoch [100][1900/3746] lr: 2.545e-02, eta: 1 day, 9:03:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3563, top5_acc: 0.6216, loss_cls: 4.0107, loss: 4.0107 2023-12-27 11:50:52,570 - pyskl - INFO - Epoch [100][2000/3746] lr: 2.542e-02, eta: 1 day, 9:02:54, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3575, top5_acc: 0.6142, loss_cls: 4.0509, loss: 4.0509 2023-12-27 11:51:52,259 - pyskl - INFO - Epoch [100][2100/3746] lr: 2.540e-02, eta: 1 day, 9:01:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3564, top5_acc: 0.6159, loss_cls: 4.0254, loss: 4.0254 2023-12-27 11:52:51,790 - pyskl - INFO - Epoch [100][2200/3746] lr: 2.538e-02, eta: 1 day, 9:00:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3558, top5_acc: 0.6167, loss_cls: 4.0198, loss: 4.0198 2023-12-27 11:53:51,227 - pyskl - INFO - Epoch [100][2300/3746] lr: 2.535e-02, eta: 1 day, 8:59:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3655, top5_acc: 0.6233, loss_cls: 3.9768, loss: 3.9768 2023-12-27 11:54:50,676 - pyskl - INFO - Epoch [100][2400/3746] lr: 2.533e-02, eta: 1 day, 8:58:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3663, top5_acc: 0.6220, loss_cls: 4.0155, loss: 4.0155 2023-12-27 11:55:50,482 - pyskl - INFO - Epoch [100][2500/3746] lr: 2.530e-02, eta: 1 day, 8:57:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3642, top5_acc: 0.6164, loss_cls: 4.0277, loss: 4.0277 2023-12-27 11:56:50,280 - pyskl - INFO - Epoch [100][2600/3746] lr: 2.528e-02, eta: 1 day, 8:56:26, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6111, loss_cls: 4.0725, loss: 4.0725 2023-12-27 11:57:49,751 - pyskl - INFO - Epoch [100][2700/3746] lr: 2.525e-02, eta: 1 day, 8:55:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3597, top5_acc: 0.6183, loss_cls: 4.0206, loss: 4.0206 2023-12-27 11:58:49,899 - pyskl - INFO - Epoch [100][2800/3746] lr: 2.523e-02, eta: 1 day, 8:54:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3534, top5_acc: 0.6144, loss_cls: 4.0617, loss: 4.0617 2023-12-27 11:59:49,639 - pyskl - INFO - Epoch [100][2900/3746] lr: 2.521e-02, eta: 1 day, 8:53:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3408, top5_acc: 0.6027, loss_cls: 4.1061, loss: 4.1061 2023-12-27 12:00:49,380 - pyskl - INFO - Epoch [100][3000/3746] lr: 2.518e-02, eta: 1 day, 8:52:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3580, top5_acc: 0.6158, loss_cls: 4.0295, loss: 4.0295 2023-12-27 12:01:48,970 - pyskl - INFO - Epoch [100][3100/3746] lr: 2.516e-02, eta: 1 day, 8:51:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3569, top5_acc: 0.6156, loss_cls: 4.0326, loss: 4.0326 2023-12-27 12:02:48,636 - pyskl - INFO - Epoch [100][3200/3746] lr: 2.513e-02, eta: 1 day, 8:49:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3514, top5_acc: 0.6062, loss_cls: 4.0462, loss: 4.0462 2023-12-27 12:03:48,256 - pyskl - INFO - Epoch [100][3300/3746] lr: 2.511e-02, eta: 1 day, 8:48:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3573, top5_acc: 0.6103, loss_cls: 4.0376, loss: 4.0376 2023-12-27 12:04:48,144 - pyskl - INFO - Epoch [100][3400/3746] lr: 2.508e-02, eta: 1 day, 8:47:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3675, top5_acc: 0.6252, loss_cls: 3.9899, loss: 3.9899 2023-12-27 12:05:47,519 - pyskl - INFO - Epoch [100][3500/3746] lr: 2.506e-02, eta: 1 day, 8:46:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3467, top5_acc: 0.6122, loss_cls: 4.0507, loss: 4.0507 2023-12-27 12:06:46,873 - pyskl - INFO - Epoch [100][3600/3746] lr: 2.504e-02, eta: 1 day, 8:45:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3636, top5_acc: 0.6225, loss_cls: 3.9936, loss: 3.9936 2023-12-27 12:07:46,772 - pyskl - INFO - Epoch [100][3700/3746] lr: 2.501e-02, eta: 1 day, 8:44:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3692, top5_acc: 0.6155, loss_cls: 4.0230, loss: 4.0230 2023-12-27 12:08:17,188 - pyskl - INFO - Saving checkpoint at 100 epochs 2023-12-27 12:10:18,004 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 12:10:18,841 - pyskl - INFO - top1_acc 0.3019 top5_acc 0.5513 2023-12-27 12:10:18,842 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 12:10:18,874 - pyskl - INFO - mean_acc 0.3017 2023-12-27 12:10:18,881 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_99.pth was removed 2023-12-27 12:10:19,115 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_100.pth. 2023-12-27 12:10:19,115 - pyskl - INFO - Best top1_acc is 0.3019 at 100 epoch. 2023-12-27 12:10:19,124 - pyskl - INFO - Epoch(val) [100][309] top1_acc: 0.3019, top5_acc: 0.5513, mean_class_accuracy: 0.3017 2023-12-27 12:13:44,135 - pyskl - INFO - Epoch [101][100/3746] lr: 2.498e-02, eta: 1 day, 8:44:01, time: 2.050, data_time: 1.446, memory: 16177, top1_acc: 0.3722, top5_acc: 0.6359, loss_cls: 3.9222, loss: 3.9222 2023-12-27 12:14:44,851 - pyskl - INFO - Epoch [101][200/3746] lr: 2.495e-02, eta: 1 day, 8:42:57, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3717, top5_acc: 0.6328, loss_cls: 3.9606, loss: 3.9606 2023-12-27 12:15:44,571 - pyskl - INFO - Epoch [101][300/3746] lr: 2.493e-02, eta: 1 day, 8:41:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3711, top5_acc: 0.6312, loss_cls: 3.9356, loss: 3.9356 2023-12-27 12:16:44,542 - pyskl - INFO - Epoch [101][400/3746] lr: 2.490e-02, eta: 1 day, 8:40:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3613, top5_acc: 0.6291, loss_cls: 3.9561, loss: 3.9561 2023-12-27 12:17:44,399 - pyskl - INFO - Epoch [101][500/3746] lr: 2.488e-02, eta: 1 day, 8:39:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3627, top5_acc: 0.6278, loss_cls: 3.9855, loss: 3.9855 2023-12-27 12:18:44,345 - pyskl - INFO - Epoch [101][600/3746] lr: 2.486e-02, eta: 1 day, 8:38:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3547, top5_acc: 0.6172, loss_cls: 4.0255, loss: 4.0255 2023-12-27 12:19:43,860 - pyskl - INFO - Epoch [101][700/3746] lr: 2.483e-02, eta: 1 day, 8:37:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3644, top5_acc: 0.6275, loss_cls: 3.9737, loss: 3.9737 2023-12-27 12:20:43,208 - pyskl - INFO - Epoch [101][800/3746] lr: 2.481e-02, eta: 1 day, 8:36:29, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3628, top5_acc: 0.6233, loss_cls: 4.0111, loss: 4.0111 2023-12-27 12:21:42,975 - pyskl - INFO - Epoch [101][900/3746] lr: 2.478e-02, eta: 1 day, 8:35:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3705, top5_acc: 0.6303, loss_cls: 3.9886, loss: 3.9886 2023-12-27 12:22:42,529 - pyskl - INFO - Epoch [101][1000/3746] lr: 2.476e-02, eta: 1 day, 8:34:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3605, top5_acc: 0.6223, loss_cls: 4.0114, loss: 4.0114 2023-12-27 12:23:41,801 - pyskl - INFO - Epoch [101][1100/3746] lr: 2.473e-02, eta: 1 day, 8:33:15, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3761, top5_acc: 0.6327, loss_cls: 3.9399, loss: 3.9399 2023-12-27 12:24:41,308 - pyskl - INFO - Epoch [101][1200/3746] lr: 2.471e-02, eta: 1 day, 8:32:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3427, top5_acc: 0.6122, loss_cls: 4.0492, loss: 4.0492 2023-12-27 12:25:40,964 - pyskl - INFO - Epoch [101][1300/3746] lr: 2.469e-02, eta: 1 day, 8:31:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3575, top5_acc: 0.6103, loss_cls: 4.0348, loss: 4.0348 2023-12-27 12:26:41,263 - pyskl - INFO - Epoch [101][1400/3746] lr: 2.466e-02, eta: 1 day, 8:30:02, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3581, top5_acc: 0.6208, loss_cls: 4.0126, loss: 4.0126 2023-12-27 12:27:41,089 - pyskl - INFO - Epoch [101][1500/3746] lr: 2.464e-02, eta: 1 day, 8:28:58, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3616, top5_acc: 0.6195, loss_cls: 4.0265, loss: 4.0265 2023-12-27 12:28:40,738 - pyskl - INFO - Epoch [101][1600/3746] lr: 2.461e-02, eta: 1 day, 8:27:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3619, top5_acc: 0.6186, loss_cls: 4.0183, loss: 4.0183 2023-12-27 12:29:40,491 - pyskl - INFO - Epoch [101][1700/3746] lr: 2.459e-02, eta: 1 day, 8:26:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3580, top5_acc: 0.6111, loss_cls: 4.0445, loss: 4.0445 2023-12-27 12:30:41,545 - pyskl - INFO - Epoch [101][1800/3746] lr: 2.457e-02, eta: 1 day, 8:25:45, time: 0.611, data_time: 0.001, memory: 16177, top1_acc: 0.3556, top5_acc: 0.6227, loss_cls: 4.0006, loss: 4.0006 2023-12-27 12:31:41,879 - pyskl - INFO - Epoch [101][1900/3746] lr: 2.454e-02, eta: 1 day, 8:24:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3575, top5_acc: 0.6225, loss_cls: 4.0011, loss: 4.0011 2023-12-27 12:32:41,561 - pyskl - INFO - Epoch [101][2000/3746] lr: 2.452e-02, eta: 1 day, 8:23:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3611, top5_acc: 0.6117, loss_cls: 4.0176, loss: 4.0176 2023-12-27 12:33:41,587 - pyskl - INFO - Epoch [101][2100/3746] lr: 2.449e-02, eta: 1 day, 8:22:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3697, top5_acc: 0.6275, loss_cls: 3.9779, loss: 3.9779 2023-12-27 12:34:40,883 - pyskl - INFO - Epoch [101][2200/3746] lr: 2.447e-02, eta: 1 day, 8:21:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3631, top5_acc: 0.6258, loss_cls: 3.9859, loss: 3.9859 2023-12-27 12:35:40,310 - pyskl - INFO - Epoch [101][2300/3746] lr: 2.445e-02, eta: 1 day, 8:20:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3527, top5_acc: 0.6167, loss_cls: 4.0280, loss: 4.0280 2023-12-27 12:36:40,026 - pyskl - INFO - Epoch [101][2400/3746] lr: 2.442e-02, eta: 1 day, 8:19:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3586, top5_acc: 0.6128, loss_cls: 4.0231, loss: 4.0231 2023-12-27 12:37:39,632 - pyskl - INFO - Epoch [101][2500/3746] lr: 2.440e-02, eta: 1 day, 8:18:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3677, top5_acc: 0.6111, loss_cls: 4.0287, loss: 4.0287 2023-12-27 12:38:39,186 - pyskl - INFO - Epoch [101][2600/3746] lr: 2.437e-02, eta: 1 day, 8:17:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3684, top5_acc: 0.6222, loss_cls: 3.9745, loss: 3.9745 2023-12-27 12:39:38,759 - pyskl - INFO - Epoch [101][2700/3746] lr: 2.435e-02, eta: 1 day, 8:16:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3555, top5_acc: 0.6159, loss_cls: 4.0164, loss: 4.0164 2023-12-27 12:40:38,270 - pyskl - INFO - Epoch [101][2800/3746] lr: 2.433e-02, eta: 1 day, 8:14:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3569, top5_acc: 0.6170, loss_cls: 4.0342, loss: 4.0342 2023-12-27 12:41:37,918 - pyskl - INFO - Epoch [101][2900/3746] lr: 2.430e-02, eta: 1 day, 8:13:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3667, top5_acc: 0.6197, loss_cls: 4.0087, loss: 4.0087 2023-12-27 12:42:37,340 - pyskl - INFO - Epoch [101][3000/3746] lr: 2.428e-02, eta: 1 day, 8:12:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3548, top5_acc: 0.6195, loss_cls: 4.0271, loss: 4.0271 2023-12-27 12:43:36,922 - pyskl - INFO - Epoch [101][3100/3746] lr: 2.425e-02, eta: 1 day, 8:11:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3595, top5_acc: 0.6255, loss_cls: 3.9943, loss: 3.9943 2023-12-27 12:44:36,546 - pyskl - INFO - Epoch [101][3200/3746] lr: 2.423e-02, eta: 1 day, 8:10:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3514, top5_acc: 0.6158, loss_cls: 4.0382, loss: 4.0382 2023-12-27 12:45:36,290 - pyskl - INFO - Epoch [101][3300/3746] lr: 2.421e-02, eta: 1 day, 8:09:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3731, top5_acc: 0.6344, loss_cls: 3.9471, loss: 3.9471 2023-12-27 12:46:35,943 - pyskl - INFO - Epoch [101][3400/3746] lr: 2.418e-02, eta: 1 day, 8:08:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3642, top5_acc: 0.6167, loss_cls: 4.0309, loss: 4.0309 2023-12-27 12:47:35,509 - pyskl - INFO - Epoch [101][3500/3746] lr: 2.416e-02, eta: 1 day, 8:07:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3719, top5_acc: 0.6291, loss_cls: 3.9732, loss: 3.9732 2023-12-27 12:48:35,761 - pyskl - INFO - Epoch [101][3600/3746] lr: 2.413e-02, eta: 1 day, 8:06:23, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3545, top5_acc: 0.6194, loss_cls: 4.0309, loss: 4.0309 2023-12-27 12:49:36,264 - pyskl - INFO - Epoch [101][3700/3746] lr: 2.411e-02, eta: 1 day, 8:05:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3566, top5_acc: 0.6142, loss_cls: 4.0235, loss: 4.0235 2023-12-27 12:50:07,687 - pyskl - INFO - Saving checkpoint at 101 epochs 2023-12-27 12:52:08,686 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 12:52:09,772 - pyskl - INFO - top1_acc 0.3017 top5_acc 0.5535 2023-12-27 12:52:09,772 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 12:52:09,811 - pyskl - INFO - mean_acc 0.3017 2023-12-27 12:52:09,821 - pyskl - INFO - Epoch(val) [101][309] top1_acc: 0.3017, top5_acc: 0.5535, mean_class_accuracy: 0.3017 2023-12-27 12:55:38,656 - pyskl - INFO - Epoch [102][100/3746] lr: 2.407e-02, eta: 1 day, 8:04:44, time: 2.088, data_time: 1.485, memory: 16177, top1_acc: 0.3769, top5_acc: 0.6380, loss_cls: 3.9246, loss: 3.9246 2023-12-27 12:56:39,568 - pyskl - INFO - Epoch [102][200/3746] lr: 2.405e-02, eta: 1 day, 8:03:40, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3609, top5_acc: 0.6289, loss_cls: 3.9805, loss: 3.9805 2023-12-27 12:57:39,671 - pyskl - INFO - Epoch [102][300/3746] lr: 2.403e-02, eta: 1 day, 8:02:36, time: 0.601, data_time: 0.001, memory: 16177, top1_acc: 0.3684, top5_acc: 0.6259, loss_cls: 3.9697, loss: 3.9697 2023-12-27 12:58:39,449 - pyskl - INFO - Epoch [102][400/3746] lr: 2.400e-02, eta: 1 day, 8:01:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3689, top5_acc: 0.6277, loss_cls: 3.9683, loss: 3.9683 2023-12-27 12:59:39,360 - pyskl - INFO - Epoch [102][500/3746] lr: 2.398e-02, eta: 1 day, 8:00:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3677, top5_acc: 0.6291, loss_cls: 3.9526, loss: 3.9526 2023-12-27 13:00:39,139 - pyskl - INFO - Epoch [102][600/3746] lr: 2.396e-02, eta: 1 day, 7:59:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3648, top5_acc: 0.6233, loss_cls: 3.9872, loss: 3.9872 2023-12-27 13:01:38,742 - pyskl - INFO - Epoch [102][700/3746] lr: 2.393e-02, eta: 1 day, 7:58:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3698, top5_acc: 0.6281, loss_cls: 3.9495, loss: 3.9495 2023-12-27 13:02:38,409 - pyskl - INFO - Epoch [102][800/3746] lr: 2.391e-02, eta: 1 day, 7:57:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3672, top5_acc: 0.6255, loss_cls: 3.9942, loss: 3.9942 2023-12-27 13:03:37,861 - pyskl - INFO - Epoch [102][900/3746] lr: 2.388e-02, eta: 1 day, 7:56:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3656, top5_acc: 0.6248, loss_cls: 3.9906, loss: 3.9906 2023-12-27 13:04:37,444 - pyskl - INFO - Epoch [102][1000/3746] lr: 2.386e-02, eta: 1 day, 7:55:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3756, top5_acc: 0.6280, loss_cls: 3.9539, loss: 3.9539 2023-12-27 13:05:36,850 - pyskl - INFO - Epoch [102][1100/3746] lr: 2.384e-02, eta: 1 day, 7:53:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3614, top5_acc: 0.6217, loss_cls: 4.0001, loss: 4.0001 2023-12-27 13:06:36,487 - pyskl - INFO - Epoch [102][1200/3746] lr: 2.381e-02, eta: 1 day, 7:52:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3700, top5_acc: 0.6311, loss_cls: 3.9291, loss: 3.9291 2023-12-27 13:07:35,866 - pyskl - INFO - Epoch [102][1300/3746] lr: 2.379e-02, eta: 1 day, 7:51:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3711, top5_acc: 0.6284, loss_cls: 3.9508, loss: 3.9508 2023-12-27 13:08:35,340 - pyskl - INFO - Epoch [102][1400/3746] lr: 2.376e-02, eta: 1 day, 7:50:46, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3628, top5_acc: 0.6214, loss_cls: 3.9984, loss: 3.9984 2023-12-27 13:09:35,016 - pyskl - INFO - Epoch [102][1500/3746] lr: 2.374e-02, eta: 1 day, 7:49:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3661, top5_acc: 0.6264, loss_cls: 3.9853, loss: 3.9853 2023-12-27 13:10:34,758 - pyskl - INFO - Epoch [102][1600/3746] lr: 2.372e-02, eta: 1 day, 7:48:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3706, top5_acc: 0.6330, loss_cls: 3.9437, loss: 3.9437 2023-12-27 13:11:34,918 - pyskl - INFO - Epoch [102][1700/3746] lr: 2.369e-02, eta: 1 day, 7:47:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3655, top5_acc: 0.6288, loss_cls: 3.9683, loss: 3.9683 2023-12-27 13:12:35,736 - pyskl - INFO - Epoch [102][1800/3746] lr: 2.367e-02, eta: 1 day, 7:46:28, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3597, top5_acc: 0.6181, loss_cls: 4.0088, loss: 4.0088 2023-12-27 13:13:36,072 - pyskl - INFO - Epoch [102][1900/3746] lr: 2.365e-02, eta: 1 day, 7:45:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3516, top5_acc: 0.6109, loss_cls: 4.0426, loss: 4.0426 2023-12-27 13:14:35,425 - pyskl - INFO - Epoch [102][2000/3746] lr: 2.362e-02, eta: 1 day, 7:44:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3722, top5_acc: 0.6242, loss_cls: 3.9835, loss: 3.9835 2023-12-27 13:15:35,260 - pyskl - INFO - Epoch [102][2100/3746] lr: 2.360e-02, eta: 1 day, 7:43:15, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3675, top5_acc: 0.6169, loss_cls: 4.0187, loss: 4.0187 2023-12-27 13:16:35,013 - pyskl - INFO - Epoch [102][2200/3746] lr: 2.357e-02, eta: 1 day, 7:42:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3714, top5_acc: 0.6181, loss_cls: 3.9926, loss: 3.9926 2023-12-27 13:17:34,531 - pyskl - INFO - Epoch [102][2300/3746] lr: 2.355e-02, eta: 1 day, 7:41:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3592, top5_acc: 0.6202, loss_cls: 4.0174, loss: 4.0174 2023-12-27 13:18:33,829 - pyskl - INFO - Epoch [102][2400/3746] lr: 2.353e-02, eta: 1 day, 7:40:02, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3645, top5_acc: 0.6241, loss_cls: 3.9635, loss: 3.9635 2023-12-27 13:19:33,477 - pyskl - INFO - Epoch [102][2500/3746] lr: 2.350e-02, eta: 1 day, 7:38:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3486, top5_acc: 0.6080, loss_cls: 4.0669, loss: 4.0669 2023-12-27 13:20:33,320 - pyskl - INFO - Epoch [102][2600/3746] lr: 2.348e-02, eta: 1 day, 7:37:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3600, top5_acc: 0.6214, loss_cls: 4.0207, loss: 4.0207 2023-12-27 13:21:33,024 - pyskl - INFO - Epoch [102][2700/3746] lr: 2.346e-02, eta: 1 day, 7:36:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3614, top5_acc: 0.6291, loss_cls: 3.9648, loss: 3.9648 2023-12-27 13:22:32,655 - pyskl - INFO - Epoch [102][2800/3746] lr: 2.343e-02, eta: 1 day, 7:35:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3784, top5_acc: 0.6298, loss_cls: 3.9259, loss: 3.9259 2023-12-27 13:23:32,250 - pyskl - INFO - Epoch [102][2900/3746] lr: 2.341e-02, eta: 1 day, 7:34:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3620, top5_acc: 0.6375, loss_cls: 3.9505, loss: 3.9505 2023-12-27 13:24:31,703 - pyskl - INFO - Epoch [102][3000/3746] lr: 2.339e-02, eta: 1 day, 7:33:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3663, top5_acc: 0.6250, loss_cls: 3.9695, loss: 3.9695 2023-12-27 13:25:31,445 - pyskl - INFO - Epoch [102][3100/3746] lr: 2.336e-02, eta: 1 day, 7:32:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3650, top5_acc: 0.6225, loss_cls: 3.9818, loss: 3.9818 2023-12-27 13:26:31,104 - pyskl - INFO - Epoch [102][3200/3746] lr: 2.334e-02, eta: 1 day, 7:31:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3584, top5_acc: 0.6256, loss_cls: 3.9821, loss: 3.9821 2023-12-27 13:27:31,078 - pyskl - INFO - Epoch [102][3300/3746] lr: 2.331e-02, eta: 1 day, 7:30:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3684, top5_acc: 0.6280, loss_cls: 3.9805, loss: 3.9805 2023-12-27 13:28:30,752 - pyskl - INFO - Epoch [102][3400/3746] lr: 2.329e-02, eta: 1 day, 7:29:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3655, top5_acc: 0.6261, loss_cls: 3.9635, loss: 3.9635 2023-12-27 13:29:30,452 - pyskl - INFO - Epoch [102][3500/3746] lr: 2.327e-02, eta: 1 day, 7:28:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3634, top5_acc: 0.6227, loss_cls: 3.9703, loss: 3.9703 2023-12-27 13:30:29,847 - pyskl - INFO - Epoch [102][3600/3746] lr: 2.324e-02, eta: 1 day, 7:27:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3717, top5_acc: 0.6286, loss_cls: 3.9627, loss: 3.9627 2023-12-27 13:31:29,432 - pyskl - INFO - Epoch [102][3700/3746] lr: 2.322e-02, eta: 1 day, 7:26:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3544, top5_acc: 0.6183, loss_cls: 4.0354, loss: 4.0354 2023-12-27 13:31:59,753 - pyskl - INFO - Saving checkpoint at 102 epochs 2023-12-27 13:34:01,161 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 13:34:02,233 - pyskl - INFO - top1_acc 0.3049 top5_acc 0.5590 2023-12-27 13:34:02,234 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 13:34:02,274 - pyskl - INFO - mean_acc 0.3046 2023-12-27 13:34:02,280 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_100.pth was removed 2023-12-27 13:34:02,570 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth. 2023-12-27 13:34:02,570 - pyskl - INFO - Best top1_acc is 0.3049 at 102 epoch. 2023-12-27 13:34:02,581 - pyskl - INFO - Epoch(val) [102][309] top1_acc: 0.3049, top5_acc: 0.5590, mean_class_accuracy: 0.3046 2023-12-27 13:37:27,391 - pyskl - INFO - Epoch [103][100/3746] lr: 2.319e-02, eta: 1 day, 7:25:25, time: 2.048, data_time: 1.444, memory: 16177, top1_acc: 0.3747, top5_acc: 0.6375, loss_cls: 3.9203, loss: 3.9203 2023-12-27 13:38:28,285 - pyskl - INFO - Epoch [103][200/3746] lr: 2.316e-02, eta: 1 day, 7:24:21, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3627, top5_acc: 0.6253, loss_cls: 3.9747, loss: 3.9747 2023-12-27 13:39:28,475 - pyskl - INFO - Epoch [103][300/3746] lr: 2.314e-02, eta: 1 day, 7:23:17, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3709, top5_acc: 0.6327, loss_cls: 3.9358, loss: 3.9358 2023-12-27 13:40:28,351 - pyskl - INFO - Epoch [103][400/3746] lr: 2.311e-02, eta: 1 day, 7:22:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3789, top5_acc: 0.6377, loss_cls: 3.9003, loss: 3.9003 2023-12-27 13:41:27,777 - pyskl - INFO - Epoch [103][500/3746] lr: 2.309e-02, eta: 1 day, 7:21:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3725, top5_acc: 0.6305, loss_cls: 3.9382, loss: 3.9382 2023-12-27 13:42:27,453 - pyskl - INFO - Epoch [103][600/3746] lr: 2.307e-02, eta: 1 day, 7:20:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3742, top5_acc: 0.6306, loss_cls: 3.9413, loss: 3.9413 2023-12-27 13:43:26,737 - pyskl - INFO - Epoch [103][700/3746] lr: 2.304e-02, eta: 1 day, 7:18:58, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3730, top5_acc: 0.6453, loss_cls: 3.9063, loss: 3.9063 2023-12-27 13:44:26,929 - pyskl - INFO - Epoch [103][800/3746] lr: 2.302e-02, eta: 1 day, 7:17:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3700, top5_acc: 0.6275, loss_cls: 3.9606, loss: 3.9606 2023-12-27 13:45:26,832 - pyskl - INFO - Epoch [103][900/3746] lr: 2.300e-02, eta: 1 day, 7:16:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3623, top5_acc: 0.6270, loss_cls: 3.9722, loss: 3.9722 2023-12-27 13:46:26,570 - pyskl - INFO - Epoch [103][1000/3746] lr: 2.297e-02, eta: 1 day, 7:15:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3686, top5_acc: 0.6370, loss_cls: 3.9275, loss: 3.9275 2023-12-27 13:47:26,168 - pyskl - INFO - Epoch [103][1100/3746] lr: 2.295e-02, eta: 1 day, 7:14:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3733, top5_acc: 0.6222, loss_cls: 3.9794, loss: 3.9794 2023-12-27 13:48:25,877 - pyskl - INFO - Epoch [103][1200/3746] lr: 2.293e-02, eta: 1 day, 7:13:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3650, top5_acc: 0.6236, loss_cls: 4.0021, loss: 4.0021 2023-12-27 13:49:25,431 - pyskl - INFO - Epoch [103][1300/3746] lr: 2.290e-02, eta: 1 day, 7:12:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3630, top5_acc: 0.6312, loss_cls: 3.9730, loss: 3.9730 2023-12-27 13:50:24,694 - pyskl - INFO - Epoch [103][1400/3746] lr: 2.288e-02, eta: 1 day, 7:11:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3625, top5_acc: 0.6233, loss_cls: 3.9549, loss: 3.9549 2023-12-27 13:51:24,058 - pyskl - INFO - Epoch [103][1500/3746] lr: 2.286e-02, eta: 1 day, 7:10:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3630, top5_acc: 0.6267, loss_cls: 3.9520, loss: 3.9520 2023-12-27 13:52:23,777 - pyskl - INFO - Epoch [103][1600/3746] lr: 2.283e-02, eta: 1 day, 7:09:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3713, top5_acc: 0.6291, loss_cls: 3.9415, loss: 3.9415 2023-12-27 13:53:23,500 - pyskl - INFO - Epoch [103][1700/3746] lr: 2.281e-02, eta: 1 day, 7:08:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3623, top5_acc: 0.6220, loss_cls: 3.9944, loss: 3.9944 2023-12-27 13:54:24,300 - pyskl - INFO - Epoch [103][1800/3746] lr: 2.279e-02, eta: 1 day, 7:07:10, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3808, top5_acc: 0.6273, loss_cls: 3.9557, loss: 3.9557 2023-12-27 13:55:24,299 - pyskl - INFO - Epoch [103][1900/3746] lr: 2.276e-02, eta: 1 day, 7:06:06, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3705, top5_acc: 0.6281, loss_cls: 3.9443, loss: 3.9443 2023-12-27 13:56:23,985 - pyskl - INFO - Epoch [103][2000/3746] lr: 2.274e-02, eta: 1 day, 7:05:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3652, top5_acc: 0.6300, loss_cls: 3.9742, loss: 3.9742 2023-12-27 13:57:23,627 - pyskl - INFO - Epoch [103][2100/3746] lr: 2.272e-02, eta: 1 day, 7:03:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3736, top5_acc: 0.6325, loss_cls: 3.9567, loss: 3.9567 2023-12-27 13:58:23,342 - pyskl - INFO - Epoch [103][2200/3746] lr: 2.269e-02, eta: 1 day, 7:02:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3700, top5_acc: 0.6242, loss_cls: 3.9650, loss: 3.9650 2023-12-27 13:59:23,402 - pyskl - INFO - Epoch [103][2300/3746] lr: 2.267e-02, eta: 1 day, 7:01:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3705, top5_acc: 0.6233, loss_cls: 3.9860, loss: 3.9860 2023-12-27 14:00:22,955 - pyskl - INFO - Epoch [103][2400/3746] lr: 2.264e-02, eta: 1 day, 7:00:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3667, top5_acc: 0.6264, loss_cls: 3.9718, loss: 3.9718 2023-12-27 14:01:22,573 - pyskl - INFO - Epoch [103][2500/3746] lr: 2.262e-02, eta: 1 day, 6:59:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3762, top5_acc: 0.6286, loss_cls: 3.9275, loss: 3.9275 2023-12-27 14:02:22,067 - pyskl - INFO - Epoch [103][2600/3746] lr: 2.260e-02, eta: 1 day, 6:58:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3592, top5_acc: 0.6180, loss_cls: 4.0150, loss: 4.0150 2023-12-27 14:03:21,665 - pyskl - INFO - Epoch [103][2700/3746] lr: 2.257e-02, eta: 1 day, 6:57:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3586, top5_acc: 0.6234, loss_cls: 3.9976, loss: 3.9976 2023-12-27 14:04:21,136 - pyskl - INFO - Epoch [103][2800/3746] lr: 2.255e-02, eta: 1 day, 6:56:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3566, top5_acc: 0.6222, loss_cls: 3.9993, loss: 3.9993 2023-12-27 14:05:20,757 - pyskl - INFO - Epoch [103][2900/3746] lr: 2.253e-02, eta: 1 day, 6:55:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3673, top5_acc: 0.6277, loss_cls: 4.0008, loss: 4.0008 2023-12-27 14:06:20,375 - pyskl - INFO - Epoch [103][3000/3746] lr: 2.250e-02, eta: 1 day, 6:54:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3698, top5_acc: 0.6183, loss_cls: 3.9957, loss: 3.9957 2023-12-27 14:07:19,861 - pyskl - INFO - Epoch [103][3100/3746] lr: 2.248e-02, eta: 1 day, 6:53:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3627, top5_acc: 0.6238, loss_cls: 3.9652, loss: 3.9652 2023-12-27 14:08:19,307 - pyskl - INFO - Epoch [103][3200/3746] lr: 2.246e-02, eta: 1 day, 6:52:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3695, top5_acc: 0.6172, loss_cls: 3.9887, loss: 3.9887 2023-12-27 14:09:18,479 - pyskl - INFO - Epoch [103][3300/3746] lr: 2.243e-02, eta: 1 day, 6:51:03, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3767, top5_acc: 0.6264, loss_cls: 3.9665, loss: 3.9665 2023-12-27 14:10:17,955 - pyskl - INFO - Epoch [103][3400/3746] lr: 2.241e-02, eta: 1 day, 6:49:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3692, top5_acc: 0.6280, loss_cls: 3.9700, loss: 3.9700 2023-12-27 14:11:17,473 - pyskl - INFO - Epoch [103][3500/3746] lr: 2.239e-02, eta: 1 day, 6:48:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3716, top5_acc: 0.6216, loss_cls: 3.9889, loss: 3.9889 2023-12-27 14:12:16,928 - pyskl - INFO - Epoch [103][3600/3746] lr: 2.236e-02, eta: 1 day, 6:47:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3647, top5_acc: 0.6219, loss_cls: 3.9923, loss: 3.9923 2023-12-27 14:13:16,697 - pyskl - INFO - Epoch [103][3700/3746] lr: 2.234e-02, eta: 1 day, 6:46:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3588, top5_acc: 0.6238, loss_cls: 3.9955, loss: 3.9955 2023-12-27 14:13:46,383 - pyskl - INFO - Saving checkpoint at 103 epochs 2023-12-27 14:15:47,334 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 14:15:48,189 - pyskl - INFO - top1_acc 0.3116 top5_acc 0.5691 2023-12-27 14:15:48,189 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 14:15:48,240 - pyskl - INFO - mean_acc 0.3114 2023-12-27 14:15:48,246 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_102.pth was removed 2023-12-27 14:15:48,575 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_103.pth. 2023-12-27 14:15:48,576 - pyskl - INFO - Best top1_acc is 0.3116 at 103 epoch. 2023-12-27 14:15:48,596 - pyskl - INFO - Epoch(val) [103][309] top1_acc: 0.3116, top5_acc: 0.5691, mean_class_accuracy: 0.3114 2023-12-27 14:19:15,397 - pyskl - INFO - Epoch [104][100/3746] lr: 2.231e-02, eta: 1 day, 6:46:06, time: 2.068, data_time: 1.465, memory: 16177, top1_acc: 0.3903, top5_acc: 0.6445, loss_cls: 3.8598, loss: 3.8598 2023-12-27 14:20:15,995 - pyskl - INFO - Epoch [104][200/3746] lr: 2.228e-02, eta: 1 day, 6:45:02, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3842, top5_acc: 0.6484, loss_cls: 3.8567, loss: 3.8567 2023-12-27 14:21:15,597 - pyskl - INFO - Epoch [104][300/3746] lr: 2.226e-02, eta: 1 day, 6:43:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3827, top5_acc: 0.6389, loss_cls: 3.9068, loss: 3.9068 2023-12-27 14:22:15,683 - pyskl - INFO - Epoch [104][400/3746] lr: 2.224e-02, eta: 1 day, 6:42:53, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3773, top5_acc: 0.6258, loss_cls: 3.9402, loss: 3.9402 2023-12-27 14:23:15,549 - pyskl - INFO - Epoch [104][500/3746] lr: 2.221e-02, eta: 1 day, 6:41:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3786, top5_acc: 0.6252, loss_cls: 3.9400, loss: 3.9400 2023-12-27 14:24:15,545 - pyskl - INFO - Epoch [104][600/3746] lr: 2.219e-02, eta: 1 day, 6:40:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3719, top5_acc: 0.6308, loss_cls: 3.9508, loss: 3.9508 2023-12-27 14:25:15,086 - pyskl - INFO - Epoch [104][700/3746] lr: 2.217e-02, eta: 1 day, 6:39:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3695, top5_acc: 0.6244, loss_cls: 3.9567, loss: 3.9567 2023-12-27 14:26:14,566 - pyskl - INFO - Epoch [104][800/3746] lr: 2.214e-02, eta: 1 day, 6:38:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3592, top5_acc: 0.6164, loss_cls: 4.0165, loss: 4.0165 2023-12-27 14:27:14,469 - pyskl - INFO - Epoch [104][900/3746] lr: 2.212e-02, eta: 1 day, 6:37:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3775, top5_acc: 0.6342, loss_cls: 3.9112, loss: 3.9112 2023-12-27 14:28:14,133 - pyskl - INFO - Epoch [104][1000/3746] lr: 2.210e-02, eta: 1 day, 6:36:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3670, top5_acc: 0.6333, loss_cls: 3.9417, loss: 3.9417 2023-12-27 14:29:13,854 - pyskl - INFO - Epoch [104][1100/3746] lr: 2.208e-02, eta: 1 day, 6:35:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3709, top5_acc: 0.6391, loss_cls: 3.9237, loss: 3.9237 2023-12-27 14:30:13,487 - pyskl - INFO - Epoch [104][1200/3746] lr: 2.205e-02, eta: 1 day, 6:34:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3661, top5_acc: 0.6278, loss_cls: 3.9872, loss: 3.9872 2023-12-27 14:31:13,100 - pyskl - INFO - Epoch [104][1300/3746] lr: 2.203e-02, eta: 1 day, 6:33:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3802, top5_acc: 0.6364, loss_cls: 3.9292, loss: 3.9292 2023-12-27 14:32:12,330 - pyskl - INFO - Epoch [104][1400/3746] lr: 2.201e-02, eta: 1 day, 6:32:09, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3723, top5_acc: 0.6270, loss_cls: 3.9502, loss: 3.9502 2023-12-27 14:33:11,765 - pyskl - INFO - Epoch [104][1500/3746] lr: 2.198e-02, eta: 1 day, 6:31:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3658, top5_acc: 0.6270, loss_cls: 3.9823, loss: 3.9823 2023-12-27 14:34:11,473 - pyskl - INFO - Epoch [104][1600/3746] lr: 2.196e-02, eta: 1 day, 6:30:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3613, top5_acc: 0.6300, loss_cls: 3.9514, loss: 3.9514 2023-12-27 14:35:11,209 - pyskl - INFO - Epoch [104][1700/3746] lr: 2.194e-02, eta: 1 day, 6:28:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3644, top5_acc: 0.6253, loss_cls: 3.9873, loss: 3.9873 2023-12-27 14:36:12,443 - pyskl - INFO - Epoch [104][1800/3746] lr: 2.191e-02, eta: 1 day, 6:27:52, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3780, top5_acc: 0.6352, loss_cls: 3.9310, loss: 3.9310 2023-12-27 14:37:13,077 - pyskl - INFO - Epoch [104][1900/3746] lr: 2.189e-02, eta: 1 day, 6:26:48, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3708, top5_acc: 0.6322, loss_cls: 3.9403, loss: 3.9403 2023-12-27 14:38:12,789 - pyskl - INFO - Epoch [104][2000/3746] lr: 2.187e-02, eta: 1 day, 6:25:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3702, top5_acc: 0.6211, loss_cls: 3.9988, loss: 3.9988 2023-12-27 14:39:12,767 - pyskl - INFO - Epoch [104][2100/3746] lr: 2.184e-02, eta: 1 day, 6:24:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3650, top5_acc: 0.6269, loss_cls: 3.9636, loss: 3.9636 2023-12-27 14:40:12,453 - pyskl - INFO - Epoch [104][2200/3746] lr: 2.182e-02, eta: 1 day, 6:23:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3639, top5_acc: 0.6277, loss_cls: 3.9759, loss: 3.9759 2023-12-27 14:41:12,168 - pyskl - INFO - Epoch [104][2300/3746] lr: 2.180e-02, eta: 1 day, 6:22:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3738, top5_acc: 0.6298, loss_cls: 3.9432, loss: 3.9432 2023-12-27 14:42:11,808 - pyskl - INFO - Epoch [104][2400/3746] lr: 2.177e-02, eta: 1 day, 6:21:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3733, top5_acc: 0.6319, loss_cls: 3.9663, loss: 3.9663 2023-12-27 14:43:11,538 - pyskl - INFO - Epoch [104][2500/3746] lr: 2.175e-02, eta: 1 day, 6:20:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3639, top5_acc: 0.6273, loss_cls: 3.9562, loss: 3.9562 2023-12-27 14:44:10,949 - pyskl - INFO - Epoch [104][2600/3746] lr: 2.173e-02, eta: 1 day, 6:19:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3689, top5_acc: 0.6211, loss_cls: 3.9720, loss: 3.9720 2023-12-27 14:45:10,443 - pyskl - INFO - Epoch [104][2700/3746] lr: 2.171e-02, eta: 1 day, 6:18:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3775, top5_acc: 0.6378, loss_cls: 3.9115, loss: 3.9115 2023-12-27 14:46:10,053 - pyskl - INFO - Epoch [104][2800/3746] lr: 2.168e-02, eta: 1 day, 6:17:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3594, top5_acc: 0.6161, loss_cls: 3.9992, loss: 3.9992 2023-12-27 14:47:09,935 - pyskl - INFO - Epoch [104][2900/3746] lr: 2.166e-02, eta: 1 day, 6:16:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3778, top5_acc: 0.6362, loss_cls: 3.9402, loss: 3.9402 2023-12-27 14:48:09,456 - pyskl - INFO - Epoch [104][3000/3746] lr: 2.164e-02, eta: 1 day, 6:14:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3717, top5_acc: 0.6320, loss_cls: 3.9357, loss: 3.9357 2023-12-27 14:49:09,091 - pyskl - INFO - Epoch [104][3100/3746] lr: 2.161e-02, eta: 1 day, 6:13:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3686, top5_acc: 0.6319, loss_cls: 3.9555, loss: 3.9555 2023-12-27 14:50:08,700 - pyskl - INFO - Epoch [104][3200/3746] lr: 2.159e-02, eta: 1 day, 6:12:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3641, top5_acc: 0.6270, loss_cls: 3.9628, loss: 3.9628 2023-12-27 14:51:09,234 - pyskl - INFO - Epoch [104][3300/3746] lr: 2.157e-02, eta: 1 day, 6:11:47, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3650, top5_acc: 0.6338, loss_cls: 3.9420, loss: 3.9420 2023-12-27 14:52:09,639 - pyskl - INFO - Epoch [104][3400/3746] lr: 2.154e-02, eta: 1 day, 6:10:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3744, top5_acc: 0.6402, loss_cls: 3.9497, loss: 3.9497 2023-12-27 14:53:09,340 - pyskl - INFO - Epoch [104][3500/3746] lr: 2.152e-02, eta: 1 day, 6:09:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3692, top5_acc: 0.6289, loss_cls: 3.9290, loss: 3.9290 2023-12-27 14:54:09,040 - pyskl - INFO - Epoch [104][3600/3746] lr: 2.150e-02, eta: 1 day, 6:08:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3733, top5_acc: 0.6253, loss_cls: 3.9495, loss: 3.9495 2023-12-27 14:55:08,613 - pyskl - INFO - Epoch [104][3700/3746] lr: 2.148e-02, eta: 1 day, 6:07:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3678, top5_acc: 0.6298, loss_cls: 3.9672, loss: 3.9672 2023-12-27 14:55:38,644 - pyskl - INFO - Saving checkpoint at 104 epochs 2023-12-27 14:57:41,315 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 14:57:42,372 - pyskl - INFO - top1_acc 0.3144 top5_acc 0.5697 2023-12-27 14:57:42,372 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 14:57:42,411 - pyskl - INFO - mean_acc 0.3143 2023-12-27 14:57:42,417 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_103.pth was removed 2023-12-27 14:57:42,713 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. 2023-12-27 14:57:42,713 - pyskl - INFO - Best top1_acc is 0.3144 at 104 epoch. 2023-12-27 14:57:42,725 - pyskl - INFO - Epoch(val) [104][309] top1_acc: 0.3144, top5_acc: 0.5697, mean_class_accuracy: 0.3143 2023-12-27 15:01:07,781 - pyskl - INFO - Epoch [105][100/3746] lr: 2.144e-02, eta: 1 day, 6:06:48, time: 2.050, data_time: 1.447, memory: 16177, top1_acc: 0.3819, top5_acc: 0.6403, loss_cls: 3.8914, loss: 3.8914 2023-12-27 15:02:08,395 - pyskl - INFO - Epoch [105][200/3746] lr: 2.142e-02, eta: 1 day, 6:05:44, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3891, top5_acc: 0.6455, loss_cls: 3.8702, loss: 3.8702 2023-12-27 15:03:08,040 - pyskl - INFO - Epoch [105][300/3746] lr: 2.140e-02, eta: 1 day, 6:04:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3894, top5_acc: 0.6442, loss_cls: 3.8984, loss: 3.8984 2023-12-27 15:04:07,788 - pyskl - INFO - Epoch [105][400/3746] lr: 2.137e-02, eta: 1 day, 6:03:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3756, top5_acc: 0.6377, loss_cls: 3.9187, loss: 3.9187 2023-12-27 15:05:07,394 - pyskl - INFO - Epoch [105][500/3746] lr: 2.135e-02, eta: 1 day, 6:02:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3694, top5_acc: 0.6264, loss_cls: 3.9501, loss: 3.9501 2023-12-27 15:06:07,385 - pyskl - INFO - Epoch [105][600/3746] lr: 2.133e-02, eta: 1 day, 6:01:26, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3816, top5_acc: 0.6444, loss_cls: 3.8963, loss: 3.8963 2023-12-27 15:07:07,077 - pyskl - INFO - Epoch [105][700/3746] lr: 2.130e-02, eta: 1 day, 6:00:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3738, top5_acc: 0.6266, loss_cls: 3.9556, loss: 3.9556 2023-12-27 15:08:06,733 - pyskl - INFO - Epoch [105][800/3746] lr: 2.128e-02, eta: 1 day, 5:59:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3805, top5_acc: 0.6305, loss_cls: 3.9040, loss: 3.9040 2023-12-27 15:09:06,199 - pyskl - INFO - Epoch [105][900/3746] lr: 2.126e-02, eta: 1 day, 5:58:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3761, top5_acc: 0.6267, loss_cls: 3.9448, loss: 3.9448 2023-12-27 15:10:05,748 - pyskl - INFO - Epoch [105][1000/3746] lr: 2.124e-02, eta: 1 day, 5:57:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3786, top5_acc: 0.6456, loss_cls: 3.8565, loss: 3.8565 2023-12-27 15:11:05,351 - pyskl - INFO - Epoch [105][1100/3746] lr: 2.121e-02, eta: 1 day, 5:56:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3770, top5_acc: 0.6412, loss_cls: 3.8992, loss: 3.8992 2023-12-27 15:12:04,886 - pyskl - INFO - Epoch [105][1200/3746] lr: 2.119e-02, eta: 1 day, 5:55:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3850, top5_acc: 0.6338, loss_cls: 3.9289, loss: 3.9289 2023-12-27 15:13:04,538 - pyskl - INFO - Epoch [105][1300/3746] lr: 2.117e-02, eta: 1 day, 5:53:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3880, top5_acc: 0.6530, loss_cls: 3.8684, loss: 3.8684 2023-12-27 15:14:04,431 - pyskl - INFO - Epoch [105][1400/3746] lr: 2.114e-02, eta: 1 day, 5:52:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3639, top5_acc: 0.6233, loss_cls: 3.9473, loss: 3.9473 2023-12-27 15:15:04,822 - pyskl - INFO - Epoch [105][1500/3746] lr: 2.112e-02, eta: 1 day, 5:51:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3761, top5_acc: 0.6473, loss_cls: 3.8908, loss: 3.8908 2023-12-27 15:16:04,262 - pyskl - INFO - Epoch [105][1600/3746] lr: 2.110e-02, eta: 1 day, 5:50:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3741, top5_acc: 0.6373, loss_cls: 3.9153, loss: 3.9153 2023-12-27 15:17:04,247 - pyskl - INFO - Epoch [105][1700/3746] lr: 2.108e-02, eta: 1 day, 5:49:38, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3819, top5_acc: 0.6448, loss_cls: 3.9053, loss: 3.9053 2023-12-27 15:18:04,427 - pyskl - INFO - Epoch [105][1800/3746] lr: 2.105e-02, eta: 1 day, 5:48:34, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3719, top5_acc: 0.6448, loss_cls: 3.9184, loss: 3.9184 2023-12-27 15:19:04,977 - pyskl - INFO - Epoch [105][1900/3746] lr: 2.103e-02, eta: 1 day, 5:47:30, time: 0.605, data_time: 0.001, memory: 16177, top1_acc: 0.3670, top5_acc: 0.6294, loss_cls: 3.9714, loss: 3.9714 2023-12-27 15:20:05,755 - pyskl - INFO - Epoch [105][2000/3746] lr: 2.101e-02, eta: 1 day, 5:46:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3695, top5_acc: 0.6275, loss_cls: 3.9412, loss: 3.9412 2023-12-27 15:21:05,503 - pyskl - INFO - Epoch [105][2100/3746] lr: 2.098e-02, eta: 1 day, 5:45:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3714, top5_acc: 0.6334, loss_cls: 3.9453, loss: 3.9453 2023-12-27 15:22:05,370 - pyskl - INFO - Epoch [105][2200/3746] lr: 2.096e-02, eta: 1 day, 5:44:18, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3703, top5_acc: 0.6358, loss_cls: 3.9294, loss: 3.9294 2023-12-27 15:23:05,522 - pyskl - INFO - Epoch [105][2300/3746] lr: 2.094e-02, eta: 1 day, 5:43:14, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3650, top5_acc: 0.6272, loss_cls: 3.9609, loss: 3.9609 2023-12-27 15:24:04,778 - pyskl - INFO - Epoch [105][2400/3746] lr: 2.092e-02, eta: 1 day, 5:42:09, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3700, top5_acc: 0.6317, loss_cls: 3.9485, loss: 3.9485 2023-12-27 15:25:04,428 - pyskl - INFO - Epoch [105][2500/3746] lr: 2.089e-02, eta: 1 day, 5:41:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3633, top5_acc: 0.6220, loss_cls: 3.9854, loss: 3.9854 2023-12-27 15:26:03,828 - pyskl - INFO - Epoch [105][2600/3746] lr: 2.087e-02, eta: 1 day, 5:40:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3781, top5_acc: 0.6264, loss_cls: 3.9619, loss: 3.9619 2023-12-27 15:27:03,218 - pyskl - INFO - Epoch [105][2700/3746] lr: 2.085e-02, eta: 1 day, 5:38:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3806, top5_acc: 0.6427, loss_cls: 3.9155, loss: 3.9155 2023-12-27 15:28:02,635 - pyskl - INFO - Epoch [105][2800/3746] lr: 2.083e-02, eta: 1 day, 5:37:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3709, top5_acc: 0.6325, loss_cls: 3.9323, loss: 3.9323 2023-12-27 15:29:02,037 - pyskl - INFO - Epoch [105][2900/3746] lr: 2.080e-02, eta: 1 day, 5:36:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3691, top5_acc: 0.6281, loss_cls: 3.9635, loss: 3.9635 2023-12-27 15:30:01,506 - pyskl - INFO - Epoch [105][3000/3746] lr: 2.078e-02, eta: 1 day, 5:35:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3770, top5_acc: 0.6353, loss_cls: 3.9476, loss: 3.9476 2023-12-27 15:31:01,051 - pyskl - INFO - Epoch [105][3100/3746] lr: 2.076e-02, eta: 1 day, 5:34:38, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3611, top5_acc: 0.6269, loss_cls: 3.9840, loss: 3.9840 2023-12-27 15:32:00,567 - pyskl - INFO - Epoch [105][3200/3746] lr: 2.073e-02, eta: 1 day, 5:33:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3606, top5_acc: 0.6281, loss_cls: 3.9475, loss: 3.9475 2023-12-27 15:33:00,277 - pyskl - INFO - Epoch [105][3300/3746] lr: 2.071e-02, eta: 1 day, 5:32:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3638, top5_acc: 0.6289, loss_cls: 3.9616, loss: 3.9616 2023-12-27 15:33:59,854 - pyskl - INFO - Epoch [105][3400/3746] lr: 2.069e-02, eta: 1 day, 5:31:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3653, top5_acc: 0.6284, loss_cls: 3.9665, loss: 3.9665 2023-12-27 15:34:59,409 - pyskl - INFO - Epoch [105][3500/3746] lr: 2.067e-02, eta: 1 day, 5:30:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3570, top5_acc: 0.6231, loss_cls: 4.0141, loss: 4.0141 2023-12-27 15:35:59,227 - pyskl - INFO - Epoch [105][3600/3746] lr: 2.064e-02, eta: 1 day, 5:29:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3642, top5_acc: 0.6291, loss_cls: 3.9631, loss: 3.9631 2023-12-27 15:36:59,112 - pyskl - INFO - Epoch [105][3700/3746] lr: 2.062e-02, eta: 1 day, 5:28:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3925, top5_acc: 0.6330, loss_cls: 3.8952, loss: 3.8952 2023-12-27 15:37:28,913 - pyskl - INFO - Saving checkpoint at 105 epochs 2023-12-27 15:39:28,164 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 15:39:28,966 - pyskl - INFO - top1_acc 0.3201 top5_acc 0.5711 2023-12-27 15:39:28,966 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 15:39:29,000 - pyskl - INFO - mean_acc 0.3198 2023-12-27 15:39:29,005 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_104.pth was removed 2023-12-27 15:39:29,241 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. 2023-12-27 15:39:29,241 - pyskl - INFO - Best top1_acc is 0.3201 at 105 epoch. 2023-12-27 15:39:29,250 - pyskl - INFO - Epoch(val) [105][309] top1_acc: 0.3201, top5_acc: 0.5711, mean_class_accuracy: 0.3198 2023-12-27 15:42:46,190 - pyskl - INFO - Epoch [106][100/3746] lr: 2.059e-02, eta: 1 day, 5:27:25, time: 1.969, data_time: 1.368, memory: 16177, top1_acc: 0.3927, top5_acc: 0.6566, loss_cls: 3.8193, loss: 3.8193 2023-12-27 15:43:46,520 - pyskl - INFO - Epoch [106][200/3746] lr: 2.057e-02, eta: 1 day, 5:26:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3897, top5_acc: 0.6475, loss_cls: 3.8562, loss: 3.8562 2023-12-27 15:44:46,336 - pyskl - INFO - Epoch [106][300/3746] lr: 2.054e-02, eta: 1 day, 5:25:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3814, top5_acc: 0.6472, loss_cls: 3.8704, loss: 3.8704 2023-12-27 15:45:45,831 - pyskl - INFO - Epoch [106][400/3746] lr: 2.052e-02, eta: 1 day, 5:24:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3758, top5_acc: 0.6397, loss_cls: 3.8971, loss: 3.8971 2023-12-27 15:46:45,406 - pyskl - INFO - Epoch [106][500/3746] lr: 2.050e-02, eta: 1 day, 5:23:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3880, top5_acc: 0.6550, loss_cls: 3.8211, loss: 3.8211 2023-12-27 15:47:45,187 - pyskl - INFO - Epoch [106][600/3746] lr: 2.048e-02, eta: 1 day, 5:22:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3733, top5_acc: 0.6286, loss_cls: 3.9435, loss: 3.9435 2023-12-27 15:48:44,786 - pyskl - INFO - Epoch [106][700/3746] lr: 2.045e-02, eta: 1 day, 5:21:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3820, top5_acc: 0.6412, loss_cls: 3.8881, loss: 3.8881 2023-12-27 15:49:44,694 - pyskl - INFO - Epoch [106][800/3746] lr: 2.043e-02, eta: 1 day, 5:19:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3867, top5_acc: 0.6508, loss_cls: 3.8882, loss: 3.8882 2023-12-27 15:50:44,396 - pyskl - INFO - Epoch [106][900/3746] lr: 2.041e-02, eta: 1 day, 5:18:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3772, top5_acc: 0.6397, loss_cls: 3.9262, loss: 3.9262 2023-12-27 15:51:44,039 - pyskl - INFO - Epoch [106][1000/3746] lr: 2.039e-02, eta: 1 day, 5:17:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3639, top5_acc: 0.6330, loss_cls: 3.9606, loss: 3.9606 2023-12-27 15:52:43,618 - pyskl - INFO - Epoch [106][1100/3746] lr: 2.036e-02, eta: 1 day, 5:16:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3738, top5_acc: 0.6370, loss_cls: 3.9196, loss: 3.9196 2023-12-27 15:53:43,050 - pyskl - INFO - Epoch [106][1200/3746] lr: 2.034e-02, eta: 1 day, 5:15:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3817, top5_acc: 0.6384, loss_cls: 3.9104, loss: 3.9104 2023-12-27 15:54:42,575 - pyskl - INFO - Epoch [106][1300/3746] lr: 2.032e-02, eta: 1 day, 5:14:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3827, top5_acc: 0.6433, loss_cls: 3.8854, loss: 3.8854 2023-12-27 15:55:42,504 - pyskl - INFO - Epoch [106][1400/3746] lr: 2.030e-02, eta: 1 day, 5:13:29, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3787, top5_acc: 0.6286, loss_cls: 3.9234, loss: 3.9234 2023-12-27 15:56:42,084 - pyskl - INFO - Epoch [106][1500/3746] lr: 2.027e-02, eta: 1 day, 5:12:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3766, top5_acc: 0.6348, loss_cls: 3.9373, loss: 3.9373 2023-12-27 15:57:43,087 - pyskl - INFO - Epoch [106][1600/3746] lr: 2.025e-02, eta: 1 day, 5:11:21, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3720, top5_acc: 0.6359, loss_cls: 3.9421, loss: 3.9421 2023-12-27 15:58:43,108 - pyskl - INFO - Epoch [106][1700/3746] lr: 2.023e-02, eta: 1 day, 5:10:17, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3828, top5_acc: 0.6414, loss_cls: 3.8984, loss: 3.8984 2023-12-27 15:59:43,621 - pyskl - INFO - Epoch [106][1800/3746] lr: 2.021e-02, eta: 1 day, 5:09:13, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3648, top5_acc: 0.6331, loss_cls: 3.9573, loss: 3.9573 2023-12-27 16:00:44,203 - pyskl - INFO - Epoch [106][1900/3746] lr: 2.018e-02, eta: 1 day, 5:08:09, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3752, top5_acc: 0.6375, loss_cls: 3.9189, loss: 3.9189 2023-12-27 16:01:44,207 - pyskl - INFO - Epoch [106][2000/3746] lr: 2.016e-02, eta: 1 day, 5:07:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3784, top5_acc: 0.6350, loss_cls: 3.9142, loss: 3.9142 2023-12-27 16:02:43,638 - pyskl - INFO - Epoch [106][2100/3746] lr: 2.014e-02, eta: 1 day, 5:06:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3727, top5_acc: 0.6377, loss_cls: 3.9070, loss: 3.9070 2023-12-27 16:03:43,142 - pyskl - INFO - Epoch [106][2200/3746] lr: 2.012e-02, eta: 1 day, 5:04:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3761, top5_acc: 0.6325, loss_cls: 3.9574, loss: 3.9574 2023-12-27 16:04:43,198 - pyskl - INFO - Epoch [106][2300/3746] lr: 2.009e-02, eta: 1 day, 5:03:52, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3658, top5_acc: 0.6334, loss_cls: 3.9410, loss: 3.9410 2023-12-27 16:05:42,724 - pyskl - INFO - Epoch [106][2400/3746] lr: 2.007e-02, eta: 1 day, 5:02:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3764, top5_acc: 0.6348, loss_cls: 3.9246, loss: 3.9246 2023-12-27 16:06:42,494 - pyskl - INFO - Epoch [106][2500/3746] lr: 2.005e-02, eta: 1 day, 5:01:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3717, top5_acc: 0.6333, loss_cls: 3.9575, loss: 3.9575 2023-12-27 16:07:41,985 - pyskl - INFO - Epoch [106][2600/3746] lr: 2.003e-02, eta: 1 day, 5:00:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3792, top5_acc: 0.6356, loss_cls: 3.9291, loss: 3.9291 2023-12-27 16:08:41,578 - pyskl - INFO - Epoch [106][2700/3746] lr: 2.000e-02, eta: 1 day, 4:59:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3847, top5_acc: 0.6283, loss_cls: 3.8965, loss: 3.8965 2023-12-27 16:09:41,321 - pyskl - INFO - Epoch [106][2800/3746] lr: 1.998e-02, eta: 1 day, 4:58:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3755, top5_acc: 0.6284, loss_cls: 3.9439, loss: 3.9439 2023-12-27 16:10:41,947 - pyskl - INFO - Epoch [106][2900/3746] lr: 1.996e-02, eta: 1 day, 4:57:27, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3877, top5_acc: 0.6392, loss_cls: 3.8954, loss: 3.8954 2023-12-27 16:11:42,464 - pyskl - INFO - Epoch [106][3000/3746] lr: 1.994e-02, eta: 1 day, 4:56:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3641, top5_acc: 0.6258, loss_cls: 3.9835, loss: 3.9835 2023-12-27 16:12:42,206 - pyskl - INFO - Epoch [106][3100/3746] lr: 1.991e-02, eta: 1 day, 4:55:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3772, top5_acc: 0.6416, loss_cls: 3.9062, loss: 3.9062 2023-12-27 16:13:41,821 - pyskl - INFO - Epoch [106][3200/3746] lr: 1.989e-02, eta: 1 day, 4:54:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3770, top5_acc: 0.6311, loss_cls: 3.9666, loss: 3.9666 2023-12-27 16:14:41,390 - pyskl - INFO - Epoch [106][3300/3746] lr: 1.987e-02, eta: 1 day, 4:53:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3744, top5_acc: 0.6359, loss_cls: 3.9164, loss: 3.9164 2023-12-27 16:15:40,837 - pyskl - INFO - Epoch [106][3400/3746] lr: 1.985e-02, eta: 1 day, 4:52:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3734, top5_acc: 0.6294, loss_cls: 3.9618, loss: 3.9618 2023-12-27 16:16:40,992 - pyskl - INFO - Epoch [106][3500/3746] lr: 1.983e-02, eta: 1 day, 4:51:01, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3731, top5_acc: 0.6312, loss_cls: 3.9311, loss: 3.9311 2023-12-27 16:17:40,725 - pyskl - INFO - Epoch [106][3600/3746] lr: 1.980e-02, eta: 1 day, 4:49:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3823, top5_acc: 0.6417, loss_cls: 3.9010, loss: 3.9010 2023-12-27 16:18:40,412 - pyskl - INFO - Epoch [106][3700/3746] lr: 1.978e-02, eta: 1 day, 4:48:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3752, top5_acc: 0.6344, loss_cls: 3.8979, loss: 3.8979 2023-12-27 16:19:10,181 - pyskl - INFO - Saving checkpoint at 106 epochs 2023-12-27 16:21:10,728 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 16:21:11,515 - pyskl - INFO - top1_acc 0.3122 top5_acc 0.5662 2023-12-27 16:21:11,515 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 16:21:11,552 - pyskl - INFO - mean_acc 0.3121 2023-12-27 16:21:11,562 - pyskl - INFO - Epoch(val) [106][309] top1_acc: 0.3122, top5_acc: 0.5662, mean_class_accuracy: 0.3121 2023-12-27 16:24:39,071 - pyskl - INFO - Epoch [107][100/3746] lr: 1.975e-02, eta: 1 day, 4:48:09, time: 2.075, data_time: 1.465, memory: 16177, top1_acc: 0.3928, top5_acc: 0.6467, loss_cls: 3.8569, loss: 3.8569 2023-12-27 16:25:39,807 - pyskl - INFO - Epoch [107][200/3746] lr: 1.973e-02, eta: 1 day, 4:47:05, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3844, top5_acc: 0.6611, loss_cls: 3.8219, loss: 3.8219 2023-12-27 16:26:39,882 - pyskl - INFO - Epoch [107][300/3746] lr: 1.970e-02, eta: 1 day, 4:46:01, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3794, top5_acc: 0.6441, loss_cls: 3.8973, loss: 3.8973 2023-12-27 16:27:39,441 - pyskl - INFO - Epoch [107][400/3746] lr: 1.968e-02, eta: 1 day, 4:44:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3794, top5_acc: 0.6392, loss_cls: 3.9051, loss: 3.9051 2023-12-27 16:28:39,171 - pyskl - INFO - Epoch [107][500/3746] lr: 1.966e-02, eta: 1 day, 4:43:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3739, top5_acc: 0.6331, loss_cls: 3.9150, loss: 3.9150 2023-12-27 16:29:38,799 - pyskl - INFO - Epoch [107][600/3746] lr: 1.964e-02, eta: 1 day, 4:42:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3864, top5_acc: 0.6442, loss_cls: 3.8692, loss: 3.8692 2023-12-27 16:30:38,016 - pyskl - INFO - Epoch [107][700/3746] lr: 1.961e-02, eta: 1 day, 4:41:44, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3731, top5_acc: 0.6423, loss_cls: 3.8919, loss: 3.8919 2023-12-27 16:31:37,537 - pyskl - INFO - Epoch [107][800/3746] lr: 1.959e-02, eta: 1 day, 4:40:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3772, top5_acc: 0.6408, loss_cls: 3.8774, loss: 3.8774 2023-12-27 16:32:37,112 - pyskl - INFO - Epoch [107][900/3746] lr: 1.957e-02, eta: 1 day, 4:39:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3770, top5_acc: 0.6405, loss_cls: 3.8913, loss: 3.8913 2023-12-27 16:33:36,499 - pyskl - INFO - Epoch [107][1000/3746] lr: 1.955e-02, eta: 1 day, 4:38:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3669, top5_acc: 0.6384, loss_cls: 3.9173, loss: 3.9173 2023-12-27 16:34:35,981 - pyskl - INFO - Epoch [107][1100/3746] lr: 1.953e-02, eta: 1 day, 4:37:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3747, top5_acc: 0.6420, loss_cls: 3.9116, loss: 3.9116 2023-12-27 16:35:35,585 - pyskl - INFO - Epoch [107][1200/3746] lr: 1.950e-02, eta: 1 day, 4:36:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3784, top5_acc: 0.6353, loss_cls: 3.8789, loss: 3.8789 2023-12-27 16:36:35,351 - pyskl - INFO - Epoch [107][1300/3746] lr: 1.948e-02, eta: 1 day, 4:35:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3748, top5_acc: 0.6347, loss_cls: 3.9274, loss: 3.9274 2023-12-27 16:37:35,776 - pyskl - INFO - Epoch [107][1400/3746] lr: 1.946e-02, eta: 1 day, 4:34:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3789, top5_acc: 0.6345, loss_cls: 3.9294, loss: 3.9294 2023-12-27 16:38:35,290 - pyskl - INFO - Epoch [107][1500/3746] lr: 1.944e-02, eta: 1 day, 4:33:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3800, top5_acc: 0.6505, loss_cls: 3.8899, loss: 3.8899 2023-12-27 16:39:35,011 - pyskl - INFO - Epoch [107][1600/3746] lr: 1.942e-02, eta: 1 day, 4:32:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3906, top5_acc: 0.6489, loss_cls: 3.8717, loss: 3.8717 2023-12-27 16:40:35,270 - pyskl - INFO - Epoch [107][1700/3746] lr: 1.939e-02, eta: 1 day, 4:31:01, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3836, top5_acc: 0.6445, loss_cls: 3.8921, loss: 3.8921 2023-12-27 16:41:35,746 - pyskl - INFO - Epoch [107][1800/3746] lr: 1.937e-02, eta: 1 day, 4:29:57, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3906, top5_acc: 0.6464, loss_cls: 3.8651, loss: 3.8651 2023-12-27 16:42:36,662 - pyskl - INFO - Epoch [107][1900/3746] lr: 1.935e-02, eta: 1 day, 4:28:53, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3817, top5_acc: 0.6397, loss_cls: 3.9144, loss: 3.9144 2023-12-27 16:43:37,086 - pyskl - INFO - Epoch [107][2000/3746] lr: 1.933e-02, eta: 1 day, 4:27:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3775, top5_acc: 0.6341, loss_cls: 3.9478, loss: 3.9478 2023-12-27 16:44:36,936 - pyskl - INFO - Epoch [107][2100/3746] lr: 1.930e-02, eta: 1 day, 4:26:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3889, top5_acc: 0.6506, loss_cls: 3.8392, loss: 3.8392 2023-12-27 16:45:37,043 - pyskl - INFO - Epoch [107][2200/3746] lr: 1.928e-02, eta: 1 day, 4:25:41, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3919, top5_acc: 0.6536, loss_cls: 3.8425, loss: 3.8425 2023-12-27 16:46:36,958 - pyskl - INFO - Epoch [107][2300/3746] lr: 1.926e-02, eta: 1 day, 4:24:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3827, top5_acc: 0.6444, loss_cls: 3.8929, loss: 3.8929 2023-12-27 16:47:36,387 - pyskl - INFO - Epoch [107][2400/3746] lr: 1.924e-02, eta: 1 day, 4:23:33, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3811, top5_acc: 0.6322, loss_cls: 3.9279, loss: 3.9279 2023-12-27 16:48:35,992 - pyskl - INFO - Epoch [107][2500/3746] lr: 1.922e-02, eta: 1 day, 4:22:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3750, top5_acc: 0.6328, loss_cls: 3.9321, loss: 3.9321 2023-12-27 16:49:35,831 - pyskl - INFO - Epoch [107][2600/3746] lr: 1.919e-02, eta: 1 day, 4:21:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3847, top5_acc: 0.6450, loss_cls: 3.8837, loss: 3.8837 2023-12-27 16:50:35,965 - pyskl - INFO - Epoch [107][2700/3746] lr: 1.917e-02, eta: 1 day, 4:20:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3708, top5_acc: 0.6331, loss_cls: 3.9381, loss: 3.9381 2023-12-27 16:51:36,674 - pyskl - INFO - Epoch [107][2800/3746] lr: 1.915e-02, eta: 1 day, 4:19:16, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3787, top5_acc: 0.6409, loss_cls: 3.8918, loss: 3.8918 2023-12-27 16:52:37,159 - pyskl - INFO - Epoch [107][2900/3746] lr: 1.913e-02, eta: 1 day, 4:18:12, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3725, top5_acc: 0.6303, loss_cls: 3.9432, loss: 3.9432 2023-12-27 16:53:37,725 - pyskl - INFO - Epoch [107][3000/3746] lr: 1.911e-02, eta: 1 day, 4:17:08, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3809, top5_acc: 0.6405, loss_cls: 3.8934, loss: 3.8934 2023-12-27 16:54:37,468 - pyskl - INFO - Epoch [107][3100/3746] lr: 1.908e-02, eta: 1 day, 4:16:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3709, top5_acc: 0.6448, loss_cls: 3.9260, loss: 3.9260 2023-12-27 16:55:36,928 - pyskl - INFO - Epoch [107][3200/3746] lr: 1.906e-02, eta: 1 day, 4:15:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3692, top5_acc: 0.6294, loss_cls: 3.9541, loss: 3.9541 2023-12-27 16:56:36,481 - pyskl - INFO - Epoch [107][3300/3746] lr: 1.904e-02, eta: 1 day, 4:13:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3800, top5_acc: 0.6288, loss_cls: 3.9213, loss: 3.9213 2023-12-27 16:57:36,251 - pyskl - INFO - Epoch [107][3400/3746] lr: 1.902e-02, eta: 1 day, 4:12:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3716, top5_acc: 0.6267, loss_cls: 3.9594, loss: 3.9594 2023-12-27 16:58:36,238 - pyskl - INFO - Epoch [107][3500/3746] lr: 1.900e-02, eta: 1 day, 4:11:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3711, top5_acc: 0.6245, loss_cls: 3.9530, loss: 3.9530 2023-12-27 16:59:36,026 - pyskl - INFO - Epoch [107][3600/3746] lr: 1.897e-02, eta: 1 day, 4:10:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3762, top5_acc: 0.6416, loss_cls: 3.9232, loss: 3.9232 2023-12-27 17:00:35,721 - pyskl - INFO - Epoch [107][3700/3746] lr: 1.895e-02, eta: 1 day, 4:09:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3817, top5_acc: 0.6342, loss_cls: 3.9279, loss: 3.9279 2023-12-27 17:01:05,926 - pyskl - INFO - Saving checkpoint at 107 epochs 2023-12-27 17:03:09,026 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 17:03:09,864 - pyskl - INFO - top1_acc 0.3198 top5_acc 0.5726 2023-12-27 17:03:09,864 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 17:03:09,900 - pyskl - INFO - mean_acc 0.3194 2023-12-27 17:03:09,909 - pyskl - INFO - Epoch(val) [107][309] top1_acc: 0.3198, top5_acc: 0.5726, mean_class_accuracy: 0.3194 2023-12-27 17:06:38,632 - pyskl - INFO - Epoch [108][100/3746] lr: 1.892e-02, eta: 1 day, 4:08:54, time: 2.087, data_time: 1.484, memory: 16177, top1_acc: 0.4019, top5_acc: 0.6486, loss_cls: 3.8190, loss: 3.8190 2023-12-27 17:07:39,160 - pyskl - INFO - Epoch [108][200/3746] lr: 1.890e-02, eta: 1 day, 4:07:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3945, top5_acc: 0.6630, loss_cls: 3.8097, loss: 3.8097 2023-12-27 17:08:38,816 - pyskl - INFO - Epoch [108][300/3746] lr: 1.888e-02, eta: 1 day, 4:06:46, time: 0.597, data_time: 0.001, memory: 16177, top1_acc: 0.3986, top5_acc: 0.6506, loss_cls: 3.8205, loss: 3.8205 2023-12-27 17:09:38,535 - pyskl - INFO - Epoch [108][400/3746] lr: 1.886e-02, eta: 1 day, 4:05:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3927, top5_acc: 0.6572, loss_cls: 3.8142, loss: 3.8142 2023-12-27 17:10:38,113 - pyskl - INFO - Epoch [108][500/3746] lr: 1.883e-02, eta: 1 day, 4:04:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3839, top5_acc: 0.6500, loss_cls: 3.8763, loss: 3.8763 2023-12-27 17:11:37,251 - pyskl - INFO - Epoch [108][600/3746] lr: 1.881e-02, eta: 1 day, 4:03:33, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3802, top5_acc: 0.6419, loss_cls: 3.8815, loss: 3.8815 2023-12-27 17:12:36,552 - pyskl - INFO - Epoch [108][700/3746] lr: 1.879e-02, eta: 1 day, 4:02:28, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3847, top5_acc: 0.6441, loss_cls: 3.8778, loss: 3.8778 2023-12-27 17:13:35,884 - pyskl - INFO - Epoch [108][800/3746] lr: 1.877e-02, eta: 1 day, 4:01:24, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3889, top5_acc: 0.6459, loss_cls: 3.8605, loss: 3.8605 2023-12-27 17:14:35,467 - pyskl - INFO - Epoch [108][900/3746] lr: 1.875e-02, eta: 1 day, 4:00:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3917, top5_acc: 0.6450, loss_cls: 3.8542, loss: 3.8542 2023-12-27 17:15:35,011 - pyskl - INFO - Epoch [108][1000/3746] lr: 1.872e-02, eta: 1 day, 3:59:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3844, top5_acc: 0.6456, loss_cls: 3.8706, loss: 3.8706 2023-12-27 17:16:34,683 - pyskl - INFO - Epoch [108][1100/3746] lr: 1.870e-02, eta: 1 day, 3:58:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3844, top5_acc: 0.6444, loss_cls: 3.8782, loss: 3.8782 2023-12-27 17:17:34,590 - pyskl - INFO - Epoch [108][1200/3746] lr: 1.868e-02, eta: 1 day, 3:57:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3848, top5_acc: 0.6392, loss_cls: 3.8808, loss: 3.8808 2023-12-27 17:18:34,387 - pyskl - INFO - Epoch [108][1300/3746] lr: 1.866e-02, eta: 1 day, 3:56:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3867, top5_acc: 0.6400, loss_cls: 3.8853, loss: 3.8853 2023-12-27 17:19:34,195 - pyskl - INFO - Epoch [108][1400/3746] lr: 1.864e-02, eta: 1 day, 3:54:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3911, top5_acc: 0.6502, loss_cls: 3.8555, loss: 3.8555 2023-12-27 17:20:33,703 - pyskl - INFO - Epoch [108][1500/3746] lr: 1.862e-02, eta: 1 day, 3:53:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3795, top5_acc: 0.6344, loss_cls: 3.9057, loss: 3.9057 2023-12-27 17:21:33,257 - pyskl - INFO - Epoch [108][1600/3746] lr: 1.859e-02, eta: 1 day, 3:52:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3800, top5_acc: 0.6458, loss_cls: 3.8987, loss: 3.8987 2023-12-27 17:22:32,639 - pyskl - INFO - Epoch [108][1700/3746] lr: 1.857e-02, eta: 1 day, 3:51:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3853, top5_acc: 0.6375, loss_cls: 3.9118, loss: 3.9118 2023-12-27 17:23:32,974 - pyskl - INFO - Epoch [108][1800/3746] lr: 1.855e-02, eta: 1 day, 3:50:42, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3786, top5_acc: 0.6397, loss_cls: 3.8894, loss: 3.8894 2023-12-27 17:24:32,861 - pyskl - INFO - Epoch [108][1900/3746] lr: 1.853e-02, eta: 1 day, 3:49:38, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3784, top5_acc: 0.6389, loss_cls: 3.9159, loss: 3.9159 2023-12-27 17:25:33,010 - pyskl - INFO - Epoch [108][2000/3746] lr: 1.851e-02, eta: 1 day, 3:48:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3862, top5_acc: 0.6500, loss_cls: 3.8748, loss: 3.8748 2023-12-27 17:26:32,624 - pyskl - INFO - Epoch [108][2100/3746] lr: 1.848e-02, eta: 1 day, 3:47:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3816, top5_acc: 0.6408, loss_cls: 3.9070, loss: 3.9070 2023-12-27 17:27:32,590 - pyskl - INFO - Epoch [108][2200/3746] lr: 1.846e-02, eta: 1 day, 3:46:25, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3767, top5_acc: 0.6412, loss_cls: 3.8981, loss: 3.8981 2023-12-27 17:28:32,566 - pyskl - INFO - Epoch [108][2300/3746] lr: 1.844e-02, eta: 1 day, 3:45:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3902, top5_acc: 0.6427, loss_cls: 3.8848, loss: 3.8848 2023-12-27 17:29:32,217 - pyskl - INFO - Epoch [108][2400/3746] lr: 1.842e-02, eta: 1 day, 3:44:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3873, top5_acc: 0.6402, loss_cls: 3.8920, loss: 3.8920 2023-12-27 17:30:31,601 - pyskl - INFO - Epoch [108][2500/3746] lr: 1.840e-02, eta: 1 day, 3:43:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3783, top5_acc: 0.6450, loss_cls: 3.8924, loss: 3.8924 2023-12-27 17:31:31,465 - pyskl - INFO - Epoch [108][2600/3746] lr: 1.838e-02, eta: 1 day, 3:42:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3777, top5_acc: 0.6350, loss_cls: 3.9139, loss: 3.9139 2023-12-27 17:32:31,063 - pyskl - INFO - Epoch [108][2700/3746] lr: 1.835e-02, eta: 1 day, 3:41:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3767, top5_acc: 0.6347, loss_cls: 3.9083, loss: 3.9083 2023-12-27 17:33:30,797 - pyskl - INFO - Epoch [108][2800/3746] lr: 1.833e-02, eta: 1 day, 3:40:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3911, top5_acc: 0.6402, loss_cls: 3.8653, loss: 3.8653 2023-12-27 17:34:30,477 - pyskl - INFO - Epoch [108][2900/3746] lr: 1.831e-02, eta: 1 day, 3:38:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3741, top5_acc: 0.6388, loss_cls: 3.8841, loss: 3.8841 2023-12-27 17:35:30,023 - pyskl - INFO - Epoch [108][3000/3746] lr: 1.829e-02, eta: 1 day, 3:37:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3811, top5_acc: 0.6423, loss_cls: 3.9066, loss: 3.9066 2023-12-27 17:36:29,203 - pyskl - INFO - Epoch [108][3100/3746] lr: 1.827e-02, eta: 1 day, 3:36:47, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3764, top5_acc: 0.6336, loss_cls: 3.9087, loss: 3.9087 2023-12-27 17:37:28,665 - pyskl - INFO - Epoch [108][3200/3746] lr: 1.825e-02, eta: 1 day, 3:35:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3941, top5_acc: 0.6419, loss_cls: 3.8756, loss: 3.8756 2023-12-27 17:38:28,302 - pyskl - INFO - Epoch [108][3300/3746] lr: 1.823e-02, eta: 1 day, 3:34:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3792, top5_acc: 0.6483, loss_cls: 3.8839, loss: 3.8839 2023-12-27 17:39:27,816 - pyskl - INFO - Epoch [108][3400/3746] lr: 1.820e-02, eta: 1 day, 3:33:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3808, top5_acc: 0.6431, loss_cls: 3.8685, loss: 3.8685 2023-12-27 17:40:27,449 - pyskl - INFO - Epoch [108][3500/3746] lr: 1.818e-02, eta: 1 day, 3:32:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3738, top5_acc: 0.6333, loss_cls: 3.9215, loss: 3.9215 2023-12-27 17:41:27,030 - pyskl - INFO - Epoch [108][3600/3746] lr: 1.816e-02, eta: 1 day, 3:31:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3831, top5_acc: 0.6391, loss_cls: 3.8648, loss: 3.8648 2023-12-27 17:42:26,400 - pyskl - INFO - Epoch [108][3700/3746] lr: 1.814e-02, eta: 1 day, 3:30:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3742, top5_acc: 0.6366, loss_cls: 3.9081, loss: 3.9081 2023-12-27 17:42:56,541 - pyskl - INFO - Saving checkpoint at 108 epochs 2023-12-27 17:44:56,171 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 17:44:57,102 - pyskl - INFO - top1_acc 0.3187 top5_acc 0.5684 2023-12-27 17:44:57,102 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 17:44:57,143 - pyskl - INFO - mean_acc 0.3184 2023-12-27 17:44:57,153 - pyskl - INFO - Epoch(val) [108][309] top1_acc: 0.3187, top5_acc: 0.5684, mean_class_accuracy: 0.3184 2023-12-27 17:48:23,753 - pyskl - INFO - Epoch [109][100/3746] lr: 1.811e-02, eta: 1 day, 3:29:34, time: 2.066, data_time: 1.465, memory: 16177, top1_acc: 0.3934, top5_acc: 0.6561, loss_cls: 3.8143, loss: 3.8143 2023-12-27 17:49:24,197 - pyskl - INFO - Epoch [109][200/3746] lr: 1.809e-02, eta: 1 day, 3:28:30, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3950, top5_acc: 0.6605, loss_cls: 3.7998, loss: 3.7998 2023-12-27 17:50:23,892 - pyskl - INFO - Epoch [109][300/3746] lr: 1.806e-02, eta: 1 day, 3:27:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3962, top5_acc: 0.6584, loss_cls: 3.8019, loss: 3.8019 2023-12-27 17:51:23,710 - pyskl - INFO - Epoch [109][400/3746] lr: 1.804e-02, eta: 1 day, 3:26:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3855, top5_acc: 0.6489, loss_cls: 3.8405, loss: 3.8405 2023-12-27 17:52:23,468 - pyskl - INFO - Epoch [109][500/3746] lr: 1.802e-02, eta: 1 day, 3:25:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3848, top5_acc: 0.6400, loss_cls: 3.8683, loss: 3.8683 2023-12-27 17:53:23,240 - pyskl - INFO - Epoch [109][600/3746] lr: 1.800e-02, eta: 1 day, 3:24:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3920, top5_acc: 0.6477, loss_cls: 3.8249, loss: 3.8249 2023-12-27 17:54:22,795 - pyskl - INFO - Epoch [109][700/3746] lr: 1.798e-02, eta: 1 day, 3:23:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3894, top5_acc: 0.6472, loss_cls: 3.8540, loss: 3.8540 2023-12-27 17:55:22,507 - pyskl - INFO - Epoch [109][800/3746] lr: 1.796e-02, eta: 1 day, 3:22:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3931, top5_acc: 0.6462, loss_cls: 3.8336, loss: 3.8336 2023-12-27 17:56:22,064 - pyskl - INFO - Epoch [109][900/3746] lr: 1.794e-02, eta: 1 day, 3:21:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3873, top5_acc: 0.6423, loss_cls: 3.8533, loss: 3.8533 2023-12-27 17:57:21,449 - pyskl - INFO - Epoch [109][1000/3746] lr: 1.791e-02, eta: 1 day, 3:19:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3773, top5_acc: 0.6452, loss_cls: 3.8769, loss: 3.8769 2023-12-27 17:58:20,782 - pyskl - INFO - Epoch [109][1100/3746] lr: 1.789e-02, eta: 1 day, 3:18:52, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3867, top5_acc: 0.6439, loss_cls: 3.8694, loss: 3.8694 2023-12-27 17:59:20,282 - pyskl - INFO - Epoch [109][1200/3746] lr: 1.787e-02, eta: 1 day, 3:17:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3877, top5_acc: 0.6450, loss_cls: 3.8828, loss: 3.8828 2023-12-27 18:00:19,707 - pyskl - INFO - Epoch [109][1300/3746] lr: 1.785e-02, eta: 1 day, 3:16:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3858, top5_acc: 0.6419, loss_cls: 3.8764, loss: 3.8764 2023-12-27 18:01:19,176 - pyskl - INFO - Epoch [109][1400/3746] lr: 1.783e-02, eta: 1 day, 3:15:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3909, top5_acc: 0.6545, loss_cls: 3.8240, loss: 3.8240 2023-12-27 18:02:18,668 - pyskl - INFO - Epoch [109][1500/3746] lr: 1.781e-02, eta: 1 day, 3:14:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3958, top5_acc: 0.6495, loss_cls: 3.8413, loss: 3.8413 2023-12-27 18:03:17,854 - pyskl - INFO - Epoch [109][1600/3746] lr: 1.779e-02, eta: 1 day, 3:13:31, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3845, top5_acc: 0.6428, loss_cls: 3.8736, loss: 3.8736 2023-12-27 18:04:17,311 - pyskl - INFO - Epoch [109][1700/3746] lr: 1.776e-02, eta: 1 day, 3:12:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3787, top5_acc: 0.6348, loss_cls: 3.9246, loss: 3.9246 2023-12-27 18:05:17,128 - pyskl - INFO - Epoch [109][1800/3746] lr: 1.774e-02, eta: 1 day, 3:11:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3883, top5_acc: 0.6434, loss_cls: 3.8744, loss: 3.8744 2023-12-27 18:06:17,109 - pyskl - INFO - Epoch [109][1900/3746] lr: 1.772e-02, eta: 1 day, 3:10:18, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3981, top5_acc: 0.6489, loss_cls: 3.8352, loss: 3.8352 2023-12-27 18:07:17,379 - pyskl - INFO - Epoch [109][2000/3746] lr: 1.770e-02, eta: 1 day, 3:09:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3794, top5_acc: 0.6455, loss_cls: 3.8894, loss: 3.8894 2023-12-27 18:08:17,905 - pyskl - INFO - Epoch [109][2100/3746] lr: 1.768e-02, eta: 1 day, 3:08:11, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3812, top5_acc: 0.6442, loss_cls: 3.8855, loss: 3.8855 2023-12-27 18:09:17,776 - pyskl - INFO - Epoch [109][2200/3746] lr: 1.766e-02, eta: 1 day, 3:07:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3758, top5_acc: 0.6338, loss_cls: 3.9354, loss: 3.9354 2023-12-27 18:10:17,545 - pyskl - INFO - Epoch [109][2300/3746] lr: 1.764e-02, eta: 1 day, 3:06:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3806, top5_acc: 0.6481, loss_cls: 3.8798, loss: 3.8798 2023-12-27 18:11:16,977 - pyskl - INFO - Epoch [109][2400/3746] lr: 1.761e-02, eta: 1 day, 3:04:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3889, top5_acc: 0.6462, loss_cls: 3.8589, loss: 3.8589 2023-12-27 18:12:16,437 - pyskl - INFO - Epoch [109][2500/3746] lr: 1.759e-02, eta: 1 day, 3:03:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3928, top5_acc: 0.6427, loss_cls: 3.8985, loss: 3.8985 2023-12-27 18:13:15,835 - pyskl - INFO - Epoch [109][2600/3746] lr: 1.757e-02, eta: 1 day, 3:02:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3827, top5_acc: 0.6419, loss_cls: 3.8657, loss: 3.8657 2023-12-27 18:14:15,299 - pyskl - INFO - Epoch [109][2700/3746] lr: 1.755e-02, eta: 1 day, 3:01:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3877, top5_acc: 0.6405, loss_cls: 3.8719, loss: 3.8719 2023-12-27 18:15:14,721 - pyskl - INFO - Epoch [109][2800/3746] lr: 1.753e-02, eta: 1 day, 3:00:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3762, top5_acc: 0.6453, loss_cls: 3.9011, loss: 3.9011 2023-12-27 18:16:14,171 - pyskl - INFO - Epoch [109][2900/3746] lr: 1.751e-02, eta: 1 day, 2:59:37, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3819, top5_acc: 0.6470, loss_cls: 3.8584, loss: 3.8584 2023-12-27 18:17:13,491 - pyskl - INFO - Epoch [109][3000/3746] lr: 1.749e-02, eta: 1 day, 2:58:33, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3748, top5_acc: 0.6508, loss_cls: 3.8876, loss: 3.8876 2023-12-27 18:18:13,038 - pyskl - INFO - Epoch [109][3100/3746] lr: 1.747e-02, eta: 1 day, 2:57:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3878, top5_acc: 0.6422, loss_cls: 3.8624, loss: 3.8624 2023-12-27 18:19:13,151 - pyskl - INFO - Epoch [109][3200/3746] lr: 1.744e-02, eta: 1 day, 2:56:24, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3944, top5_acc: 0.6528, loss_cls: 3.8491, loss: 3.8491 2023-12-27 18:20:12,418 - pyskl - INFO - Epoch [109][3300/3746] lr: 1.742e-02, eta: 1 day, 2:55:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3917, top5_acc: 0.6498, loss_cls: 3.8531, loss: 3.8531 2023-12-27 18:21:11,516 - pyskl - INFO - Epoch [109][3400/3746] lr: 1.740e-02, eta: 1 day, 2:54:16, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3887, top5_acc: 0.6461, loss_cls: 3.8414, loss: 3.8414 2023-12-27 18:22:11,074 - pyskl - INFO - Epoch [109][3500/3746] lr: 1.738e-02, eta: 1 day, 2:53:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3887, top5_acc: 0.6420, loss_cls: 3.8851, loss: 3.8851 2023-12-27 18:23:10,463 - pyskl - INFO - Epoch [109][3600/3746] lr: 1.736e-02, eta: 1 day, 2:52:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3631, top5_acc: 0.6348, loss_cls: 3.9251, loss: 3.9251 2023-12-27 18:24:10,123 - pyskl - INFO - Epoch [109][3700/3746] lr: 1.734e-02, eta: 1 day, 2:51:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3809, top5_acc: 0.6433, loss_cls: 3.8981, loss: 3.8981 2023-12-27 18:24:40,219 - pyskl - INFO - Saving checkpoint at 109 epochs 2023-12-27 18:26:40,901 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 18:26:41,703 - pyskl - INFO - top1_acc 0.3210 top5_acc 0.5804 2023-12-27 18:26:41,703 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 18:26:41,742 - pyskl - INFO - mean_acc 0.3208 2023-12-27 18:26:41,749 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_105.pth was removed 2023-12-27 18:26:41,999 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_109.pth. 2023-12-27 18:26:42,000 - pyskl - INFO - Best top1_acc is 0.3210 at 109 epoch. 2023-12-27 18:26:42,013 - pyskl - INFO - Epoch(val) [109][309] top1_acc: 0.3210, top5_acc: 0.5804, mean_class_accuracy: 0.3208 2023-12-27 18:30:11,393 - pyskl - INFO - Epoch [110][100/3746] lr: 1.731e-02, eta: 1 day, 2:50:15, time: 2.094, data_time: 1.490, memory: 16177, top1_acc: 0.4012, top5_acc: 0.6570, loss_cls: 3.7732, loss: 3.7732 2023-12-27 18:31:11,671 - pyskl - INFO - Epoch [110][200/3746] lr: 1.729e-02, eta: 1 day, 2:49:11, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3906, top5_acc: 0.6523, loss_cls: 3.8060, loss: 3.8060 2023-12-27 18:32:11,457 - pyskl - INFO - Epoch [110][300/3746] lr: 1.727e-02, eta: 1 day, 2:48:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4062, top5_acc: 0.6603, loss_cls: 3.7822, loss: 3.7822 2023-12-27 18:33:11,255 - pyskl - INFO - Epoch [110][400/3746] lr: 1.724e-02, eta: 1 day, 2:47:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3919, top5_acc: 0.6503, loss_cls: 3.8435, loss: 3.8435 2023-12-27 18:34:10,675 - pyskl - INFO - Epoch [110][500/3746] lr: 1.722e-02, eta: 1 day, 2:45:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3998, top5_acc: 0.6655, loss_cls: 3.7904, loss: 3.7904 2023-12-27 18:35:10,301 - pyskl - INFO - Epoch [110][600/3746] lr: 1.720e-02, eta: 1 day, 2:44:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3959, top5_acc: 0.6570, loss_cls: 3.8047, loss: 3.8047 2023-12-27 18:36:09,843 - pyskl - INFO - Epoch [110][700/3746] lr: 1.718e-02, eta: 1 day, 2:43:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4022, top5_acc: 0.6548, loss_cls: 3.7929, loss: 3.7929 2023-12-27 18:37:09,521 - pyskl - INFO - Epoch [110][800/3746] lr: 1.716e-02, eta: 1 day, 2:42:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3964, top5_acc: 0.6525, loss_cls: 3.8014, loss: 3.8014 2023-12-27 18:38:08,908 - pyskl - INFO - Epoch [110][900/3746] lr: 1.714e-02, eta: 1 day, 2:41:42, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3923, top5_acc: 0.6538, loss_cls: 3.8150, loss: 3.8150 2023-12-27 18:39:08,418 - pyskl - INFO - Epoch [110][1000/3746] lr: 1.712e-02, eta: 1 day, 2:40:38, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3869, top5_acc: 0.6522, loss_cls: 3.8518, loss: 3.8518 2023-12-27 18:40:08,011 - pyskl - INFO - Epoch [110][1100/3746] lr: 1.710e-02, eta: 1 day, 2:39:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3973, top5_acc: 0.6536, loss_cls: 3.8077, loss: 3.8077 2023-12-27 18:41:07,527 - pyskl - INFO - Epoch [110][1200/3746] lr: 1.708e-02, eta: 1 day, 2:38:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3922, top5_acc: 0.6572, loss_cls: 3.8135, loss: 3.8135 2023-12-27 18:42:06,906 - pyskl - INFO - Epoch [110][1300/3746] lr: 1.705e-02, eta: 1 day, 2:37:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3895, top5_acc: 0.6548, loss_cls: 3.8394, loss: 3.8394 2023-12-27 18:43:06,324 - pyskl - INFO - Epoch [110][1400/3746] lr: 1.703e-02, eta: 1 day, 2:36:21, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3942, top5_acc: 0.6542, loss_cls: 3.8441, loss: 3.8441 2023-12-27 18:44:05,993 - pyskl - INFO - Epoch [110][1500/3746] lr: 1.701e-02, eta: 1 day, 2:35:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3875, top5_acc: 0.6448, loss_cls: 3.8890, loss: 3.8890 2023-12-27 18:45:05,650 - pyskl - INFO - Epoch [110][1600/3746] lr: 1.699e-02, eta: 1 day, 2:34:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3836, top5_acc: 0.6414, loss_cls: 3.8940, loss: 3.8940 2023-12-27 18:46:05,064 - pyskl - INFO - Epoch [110][1700/3746] lr: 1.697e-02, eta: 1 day, 2:33:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3831, top5_acc: 0.6488, loss_cls: 3.8672, loss: 3.8672 2023-12-27 18:47:04,849 - pyskl - INFO - Epoch [110][1800/3746] lr: 1.695e-02, eta: 1 day, 2:32:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3931, top5_acc: 0.6427, loss_cls: 3.8736, loss: 3.8736 2023-12-27 18:48:05,574 - pyskl - INFO - Epoch [110][1900/3746] lr: 1.693e-02, eta: 1 day, 2:31:01, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3805, top5_acc: 0.6514, loss_cls: 3.8470, loss: 3.8470 2023-12-27 18:49:05,671 - pyskl - INFO - Epoch [110][2000/3746] lr: 1.691e-02, eta: 1 day, 2:29:57, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3837, top5_acc: 0.6544, loss_cls: 3.8401, loss: 3.8401 2023-12-27 18:50:05,811 - pyskl - INFO - Epoch [110][2100/3746] lr: 1.689e-02, eta: 1 day, 2:28:53, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3895, top5_acc: 0.6503, loss_cls: 3.8509, loss: 3.8509 2023-12-27 18:51:05,944 - pyskl - INFO - Epoch [110][2200/3746] lr: 1.687e-02, eta: 1 day, 2:27:49, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3641, top5_acc: 0.6392, loss_cls: 3.9248, loss: 3.9248 2023-12-27 18:52:05,744 - pyskl - INFO - Epoch [110][2300/3746] lr: 1.685e-02, eta: 1 day, 2:26:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3862, top5_acc: 0.6472, loss_cls: 3.8590, loss: 3.8590 2023-12-27 18:53:06,014 - pyskl - INFO - Epoch [110][2400/3746] lr: 1.682e-02, eta: 1 day, 2:25:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3892, top5_acc: 0.6461, loss_cls: 3.8413, loss: 3.8413 2023-12-27 18:54:05,633 - pyskl - INFO - Epoch [110][2500/3746] lr: 1.680e-02, eta: 1 day, 2:24:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3925, top5_acc: 0.6505, loss_cls: 3.8500, loss: 3.8500 2023-12-27 18:55:05,307 - pyskl - INFO - Epoch [110][2600/3746] lr: 1.678e-02, eta: 1 day, 2:23:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3872, top5_acc: 0.6458, loss_cls: 3.8652, loss: 3.8652 2023-12-27 18:56:04,707 - pyskl - INFO - Epoch [110][2700/3746] lr: 1.676e-02, eta: 1 day, 2:22:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3862, top5_acc: 0.6423, loss_cls: 3.8852, loss: 3.8852 2023-12-27 18:57:04,706 - pyskl - INFO - Epoch [110][2800/3746] lr: 1.674e-02, eta: 1 day, 2:21:24, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3831, top5_acc: 0.6427, loss_cls: 3.8944, loss: 3.8944 2023-12-27 18:58:04,282 - pyskl - INFO - Epoch [110][2900/3746] lr: 1.672e-02, eta: 1 day, 2:20:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3856, top5_acc: 0.6330, loss_cls: 3.8923, loss: 3.8923 2023-12-27 18:59:03,900 - pyskl - INFO - Epoch [110][3000/3746] lr: 1.670e-02, eta: 1 day, 2:19:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3930, top5_acc: 0.6522, loss_cls: 3.8218, loss: 3.8218 2023-12-27 19:00:03,190 - pyskl - INFO - Epoch [110][3100/3746] lr: 1.668e-02, eta: 1 day, 2:18:12, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3866, top5_acc: 0.6388, loss_cls: 3.9028, loss: 3.9028 2023-12-27 19:01:02,860 - pyskl - INFO - Epoch [110][3200/3746] lr: 1.666e-02, eta: 1 day, 2:17:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3916, top5_acc: 0.6492, loss_cls: 3.8509, loss: 3.8509 2023-12-27 19:02:02,417 - pyskl - INFO - Epoch [110][3300/3746] lr: 1.664e-02, eta: 1 day, 2:16:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3872, top5_acc: 0.6414, loss_cls: 3.8835, loss: 3.8835 2023-12-27 19:03:02,184 - pyskl - INFO - Epoch [110][3400/3746] lr: 1.662e-02, eta: 1 day, 2:14:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3969, top5_acc: 0.6488, loss_cls: 3.8337, loss: 3.8337 2023-12-27 19:04:02,276 - pyskl - INFO - Epoch [110][3500/3746] lr: 1.659e-02, eta: 1 day, 2:13:55, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3792, top5_acc: 0.6347, loss_cls: 3.9199, loss: 3.9199 2023-12-27 19:05:02,587 - pyskl - INFO - Epoch [110][3600/3746] lr: 1.657e-02, eta: 1 day, 2:12:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3847, top5_acc: 0.6469, loss_cls: 3.8440, loss: 3.8440 2023-12-27 19:06:03,488 - pyskl - INFO - Epoch [110][3700/3746] lr: 1.655e-02, eta: 1 day, 2:11:48, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3994, top5_acc: 0.6528, loss_cls: 3.8101, loss: 3.8101 2023-12-27 19:06:33,397 - pyskl - INFO - Saving checkpoint at 110 epochs 2023-12-27 19:08:33,427 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 19:08:34,506 - pyskl - INFO - top1_acc 0.3185 top5_acc 0.5785 2023-12-27 19:08:34,506 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 19:08:34,543 - pyskl - INFO - mean_acc 0.3183 2023-12-27 19:08:34,553 - pyskl - INFO - Epoch(val) [110][309] top1_acc: 0.3185, top5_acc: 0.5785, mean_class_accuracy: 0.3183 2023-12-27 19:11:57,914 - pyskl - INFO - Epoch [111][100/3746] lr: 1.652e-02, eta: 1 day, 2:10:56, time: 2.034, data_time: 1.430, memory: 16177, top1_acc: 0.4056, top5_acc: 0.6637, loss_cls: 3.7713, loss: 3.7713 2023-12-27 19:12:58,069 - pyskl - INFO - Epoch [111][200/3746] lr: 1.650e-02, eta: 1 day, 2:09:52, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3987, top5_acc: 0.6600, loss_cls: 3.7627, loss: 3.7627 2023-12-27 19:13:57,864 - pyskl - INFO - Epoch [111][300/3746] lr: 1.648e-02, eta: 1 day, 2:08:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4002, top5_acc: 0.6603, loss_cls: 3.7834, loss: 3.7834 2023-12-27 19:14:57,991 - pyskl - INFO - Epoch [111][400/3746] lr: 1.646e-02, eta: 1 day, 2:07:44, time: 0.601, data_time: 0.001, memory: 16177, top1_acc: 0.3950, top5_acc: 0.6584, loss_cls: 3.8062, loss: 3.8062 2023-12-27 19:15:57,756 - pyskl - INFO - Epoch [111][500/3746] lr: 1.644e-02, eta: 1 day, 2:06:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3945, top5_acc: 0.6528, loss_cls: 3.8488, loss: 3.8488 2023-12-27 19:16:57,153 - pyskl - INFO - Epoch [111][600/3746] lr: 1.642e-02, eta: 1 day, 2:05:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3998, top5_acc: 0.6552, loss_cls: 3.8110, loss: 3.8110 2023-12-27 19:17:56,587 - pyskl - INFO - Epoch [111][700/3746] lr: 1.640e-02, eta: 1 day, 2:04:32, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3989, top5_acc: 0.6553, loss_cls: 3.8120, loss: 3.8120 2023-12-27 19:18:56,625 - pyskl - INFO - Epoch [111][800/3746] lr: 1.638e-02, eta: 1 day, 2:03:28, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3862, top5_acc: 0.6488, loss_cls: 3.8362, loss: 3.8362 2023-12-27 19:19:56,693 - pyskl - INFO - Epoch [111][900/3746] lr: 1.636e-02, eta: 1 day, 2:02:24, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3947, top5_acc: 0.6611, loss_cls: 3.8211, loss: 3.8211 2023-12-27 19:20:56,165 - pyskl - INFO - Epoch [111][1000/3746] lr: 1.634e-02, eta: 1 day, 2:01:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3884, top5_acc: 0.6512, loss_cls: 3.8131, loss: 3.8131 2023-12-27 19:21:55,737 - pyskl - INFO - Epoch [111][1100/3746] lr: 1.632e-02, eta: 1 day, 2:00:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3866, top5_acc: 0.6484, loss_cls: 3.8664, loss: 3.8664 2023-12-27 19:22:55,450 - pyskl - INFO - Epoch [111][1200/3746] lr: 1.630e-02, eta: 1 day, 1:59:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3941, top5_acc: 0.6631, loss_cls: 3.8086, loss: 3.8086 2023-12-27 19:23:54,876 - pyskl - INFO - Epoch [111][1300/3746] lr: 1.627e-02, eta: 1 day, 1:58:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3914, top5_acc: 0.6559, loss_cls: 3.8326, loss: 3.8326 2023-12-27 19:24:54,430 - pyskl - INFO - Epoch [111][1400/3746] lr: 1.625e-02, eta: 1 day, 1:57:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3953, top5_acc: 0.6531, loss_cls: 3.8140, loss: 3.8140 2023-12-27 19:25:54,147 - pyskl - INFO - Epoch [111][1500/3746] lr: 1.623e-02, eta: 1 day, 1:55:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3987, top5_acc: 0.6508, loss_cls: 3.8238, loss: 3.8238 2023-12-27 19:26:53,601 - pyskl - INFO - Epoch [111][1600/3746] lr: 1.621e-02, eta: 1 day, 1:54:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3908, top5_acc: 0.6550, loss_cls: 3.8314, loss: 3.8314 2023-12-27 19:27:53,021 - pyskl - INFO - Epoch [111][1700/3746] lr: 1.619e-02, eta: 1 day, 1:53:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3912, top5_acc: 0.6533, loss_cls: 3.8260, loss: 3.8260 2023-12-27 19:28:52,730 - pyskl - INFO - Epoch [111][1800/3746] lr: 1.617e-02, eta: 1 day, 1:52:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3923, top5_acc: 0.6539, loss_cls: 3.7986, loss: 3.7986 2023-12-27 19:29:53,176 - pyskl - INFO - Epoch [111][1900/3746] lr: 1.615e-02, eta: 1 day, 1:51:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3952, top5_acc: 0.6564, loss_cls: 3.8362, loss: 3.8362 2023-12-27 19:30:53,077 - pyskl - INFO - Epoch [111][2000/3746] lr: 1.613e-02, eta: 1 day, 1:50:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3972, top5_acc: 0.6592, loss_cls: 3.8314, loss: 3.8314 2023-12-27 19:31:53,202 - pyskl - INFO - Epoch [111][2100/3746] lr: 1.611e-02, eta: 1 day, 1:49:35, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4070, top5_acc: 0.6564, loss_cls: 3.7989, loss: 3.7989 2023-12-27 19:32:53,094 - pyskl - INFO - Epoch [111][2200/3746] lr: 1.609e-02, eta: 1 day, 1:48:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3947, top5_acc: 0.6562, loss_cls: 3.8214, loss: 3.8214 2023-12-27 19:33:52,580 - pyskl - INFO - Epoch [111][2300/3746] lr: 1.607e-02, eta: 1 day, 1:47:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3809, top5_acc: 0.6472, loss_cls: 3.8910, loss: 3.8910 2023-12-27 19:34:52,611 - pyskl - INFO - Epoch [111][2400/3746] lr: 1.605e-02, eta: 1 day, 1:46:23, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3933, top5_acc: 0.6539, loss_cls: 3.8191, loss: 3.8191 2023-12-27 19:35:52,157 - pyskl - INFO - Epoch [111][2500/3746] lr: 1.603e-02, eta: 1 day, 1:45:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3987, top5_acc: 0.6469, loss_cls: 3.8472, loss: 3.8472 2023-12-27 19:36:51,893 - pyskl - INFO - Epoch [111][2600/3746] lr: 1.601e-02, eta: 1 day, 1:44:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3892, top5_acc: 0.6456, loss_cls: 3.8698, loss: 3.8698 2023-12-27 19:37:51,196 - pyskl - INFO - Epoch [111][2700/3746] lr: 1.599e-02, eta: 1 day, 1:43:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3795, top5_acc: 0.6470, loss_cls: 3.8680, loss: 3.8680 2023-12-27 19:38:50,563 - pyskl - INFO - Epoch [111][2800/3746] lr: 1.597e-02, eta: 1 day, 1:42:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3947, top5_acc: 0.6520, loss_cls: 3.8164, loss: 3.8164 2023-12-27 19:39:50,093 - pyskl - INFO - Epoch [111][2900/3746] lr: 1.595e-02, eta: 1 day, 1:41:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3933, top5_acc: 0.6603, loss_cls: 3.8231, loss: 3.8231 2023-12-27 19:40:49,566 - pyskl - INFO - Epoch [111][3000/3746] lr: 1.593e-02, eta: 1 day, 1:39:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3920, top5_acc: 0.6494, loss_cls: 3.8356, loss: 3.8356 2023-12-27 19:41:48,853 - pyskl - INFO - Epoch [111][3100/3746] lr: 1.590e-02, eta: 1 day, 1:38:54, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3933, top5_acc: 0.6558, loss_cls: 3.8160, loss: 3.8160 2023-12-27 19:42:48,297 - pyskl - INFO - Epoch [111][3200/3746] lr: 1.588e-02, eta: 1 day, 1:37:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3878, top5_acc: 0.6544, loss_cls: 3.8396, loss: 3.8396 2023-12-27 19:43:47,593 - pyskl - INFO - Epoch [111][3300/3746] lr: 1.586e-02, eta: 1 day, 1:36:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3947, top5_acc: 0.6555, loss_cls: 3.8366, loss: 3.8366 2023-12-27 19:44:46,968 - pyskl - INFO - Epoch [111][3400/3746] lr: 1.584e-02, eta: 1 day, 1:35:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3958, top5_acc: 0.6489, loss_cls: 3.8338, loss: 3.8338 2023-12-27 19:45:46,211 - pyskl - INFO - Epoch [111][3500/3746] lr: 1.582e-02, eta: 1 day, 1:34:37, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3891, top5_acc: 0.6467, loss_cls: 3.8485, loss: 3.8485 2023-12-27 19:46:45,851 - pyskl - INFO - Epoch [111][3600/3746] lr: 1.580e-02, eta: 1 day, 1:33:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3883, top5_acc: 0.6492, loss_cls: 3.8595, loss: 3.8595 2023-12-27 19:47:45,285 - pyskl - INFO - Epoch [111][3700/3746] lr: 1.578e-02, eta: 1 day, 1:32:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3931, top5_acc: 0.6528, loss_cls: 3.8481, loss: 3.8481 2023-12-27 19:48:15,157 - pyskl - INFO - Saving checkpoint at 111 epochs 2023-12-27 19:50:16,549 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 19:50:17,621 - pyskl - INFO - top1_acc 0.3260 top5_acc 0.5773 2023-12-27 19:50:17,621 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 19:50:17,667 - pyskl - INFO - mean_acc 0.3258 2023-12-27 19:50:17,673 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_109.pth was removed 2023-12-27 19:50:18,009 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. 2023-12-27 19:50:18,010 - pyskl - INFO - Best top1_acc is 0.3260 at 111 epoch. 2023-12-27 19:50:18,019 - pyskl - INFO - Epoch(val) [111][309] top1_acc: 0.3260, top5_acc: 0.5773, mean_class_accuracy: 0.3258 2023-12-27 19:53:42,049 - pyskl - INFO - Epoch [112][100/3746] lr: 1.575e-02, eta: 1 day, 1:31:36, time: 2.040, data_time: 1.438, memory: 16177, top1_acc: 0.4014, top5_acc: 0.6659, loss_cls: 3.7815, loss: 3.7815 2023-12-27 19:54:42,430 - pyskl - INFO - Epoch [112][200/3746] lr: 1.573e-02, eta: 1 day, 1:30:32, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3912, top5_acc: 0.6616, loss_cls: 3.8002, loss: 3.8002 2023-12-27 19:55:42,404 - pyskl - INFO - Epoch [112][300/3746] lr: 1.571e-02, eta: 1 day, 1:29:28, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3997, top5_acc: 0.6697, loss_cls: 3.7641, loss: 3.7641 2023-12-27 19:56:42,298 - pyskl - INFO - Epoch [112][400/3746] lr: 1.569e-02, eta: 1 day, 1:28:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3986, top5_acc: 0.6547, loss_cls: 3.8049, loss: 3.8049 2023-12-27 19:57:42,403 - pyskl - INFO - Epoch [112][500/3746] lr: 1.567e-02, eta: 1 day, 1:27:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3991, top5_acc: 0.6597, loss_cls: 3.7743, loss: 3.7743 2023-12-27 19:58:42,037 - pyskl - INFO - Epoch [112][600/3746] lr: 1.565e-02, eta: 1 day, 1:26:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4070, top5_acc: 0.6625, loss_cls: 3.7787, loss: 3.7787 2023-12-27 19:59:41,779 - pyskl - INFO - Epoch [112][700/3746] lr: 1.563e-02, eta: 1 day, 1:25:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4028, top5_acc: 0.6517, loss_cls: 3.8221, loss: 3.8221 2023-12-27 20:00:41,357 - pyskl - INFO - Epoch [112][800/3746] lr: 1.561e-02, eta: 1 day, 1:24:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3908, top5_acc: 0.6575, loss_cls: 3.8163, loss: 3.8163 2023-12-27 20:01:40,944 - pyskl - INFO - Epoch [112][900/3746] lr: 1.559e-02, eta: 1 day, 1:23:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4072, top5_acc: 0.6625, loss_cls: 3.7924, loss: 3.7924 2023-12-27 20:02:41,136 - pyskl - INFO - Epoch [112][1000/3746] lr: 1.557e-02, eta: 1 day, 1:22:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4075, top5_acc: 0.6645, loss_cls: 3.7706, loss: 3.7706 2023-12-27 20:03:40,696 - pyskl - INFO - Epoch [112][1100/3746] lr: 1.555e-02, eta: 1 day, 1:20:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3862, top5_acc: 0.6503, loss_cls: 3.8379, loss: 3.8379 2023-12-27 20:04:40,374 - pyskl - INFO - Epoch [112][1200/3746] lr: 1.553e-02, eta: 1 day, 1:19:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3931, top5_acc: 0.6520, loss_cls: 3.8194, loss: 3.8194 2023-12-27 20:05:40,573 - pyskl - INFO - Epoch [112][1300/3746] lr: 1.551e-02, eta: 1 day, 1:18:48, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3969, top5_acc: 0.6575, loss_cls: 3.7722, loss: 3.7722 2023-12-27 20:06:40,291 - pyskl - INFO - Epoch [112][1400/3746] lr: 1.549e-02, eta: 1 day, 1:17:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3889, top5_acc: 0.6531, loss_cls: 3.8274, loss: 3.8274 2023-12-27 20:07:39,768 - pyskl - INFO - Epoch [112][1500/3746] lr: 1.547e-02, eta: 1 day, 1:16:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3981, top5_acc: 0.6602, loss_cls: 3.7886, loss: 3.7886 2023-12-27 20:08:39,301 - pyskl - INFO - Epoch [112][1600/3746] lr: 1.545e-02, eta: 1 day, 1:15:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4036, top5_acc: 0.6645, loss_cls: 3.7734, loss: 3.7734 2023-12-27 20:09:38,888 - pyskl - INFO - Epoch [112][1700/3746] lr: 1.543e-02, eta: 1 day, 1:14:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4077, top5_acc: 0.6567, loss_cls: 3.7707, loss: 3.7707 2023-12-27 20:10:39,140 - pyskl - INFO - Epoch [112][1800/3746] lr: 1.541e-02, eta: 1 day, 1:13:28, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4066, top5_acc: 0.6645, loss_cls: 3.7663, loss: 3.7663 2023-12-27 20:11:39,600 - pyskl - INFO - Epoch [112][1900/3746] lr: 1.539e-02, eta: 1 day, 1:12:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4081, top5_acc: 0.6620, loss_cls: 3.7653, loss: 3.7653 2023-12-27 20:12:39,376 - pyskl - INFO - Epoch [112][2000/3746] lr: 1.537e-02, eta: 1 day, 1:11:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3912, top5_acc: 0.6480, loss_cls: 3.8364, loss: 3.8364 2023-12-27 20:13:39,190 - pyskl - INFO - Epoch [112][2100/3746] lr: 1.535e-02, eta: 1 day, 1:10:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3856, top5_acc: 0.6534, loss_cls: 3.8370, loss: 3.8370 2023-12-27 20:14:38,692 - pyskl - INFO - Epoch [112][2200/3746] lr: 1.533e-02, eta: 1 day, 1:09:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4078, top5_acc: 0.6584, loss_cls: 3.7787, loss: 3.7787 2023-12-27 20:15:38,063 - pyskl - INFO - Epoch [112][2300/3746] lr: 1.531e-02, eta: 1 day, 1:08:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3953, top5_acc: 0.6523, loss_cls: 3.8326, loss: 3.8326 2023-12-27 20:16:37,637 - pyskl - INFO - Epoch [112][2400/3746] lr: 1.529e-02, eta: 1 day, 1:07:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3889, top5_acc: 0.6591, loss_cls: 3.8059, loss: 3.8059 2023-12-27 20:17:37,049 - pyskl - INFO - Epoch [112][2500/3746] lr: 1.527e-02, eta: 1 day, 1:05:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4016, top5_acc: 0.6483, loss_cls: 3.8136, loss: 3.8136 2023-12-27 20:18:36,484 - pyskl - INFO - Epoch [112][2600/3746] lr: 1.525e-02, eta: 1 day, 1:04:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3995, top5_acc: 0.6573, loss_cls: 3.7806, loss: 3.7806 2023-12-27 20:19:36,048 - pyskl - INFO - Epoch [112][2700/3746] lr: 1.523e-02, eta: 1 day, 1:03:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3831, top5_acc: 0.6478, loss_cls: 3.8473, loss: 3.8473 2023-12-27 20:20:35,688 - pyskl - INFO - Epoch [112][2800/3746] lr: 1.521e-02, eta: 1 day, 1:02:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3903, top5_acc: 0.6512, loss_cls: 3.8371, loss: 3.8371 2023-12-27 20:21:35,122 - pyskl - INFO - Epoch [112][2900/3746] lr: 1.519e-02, eta: 1 day, 1:01:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4058, top5_acc: 0.6486, loss_cls: 3.8256, loss: 3.8256 2023-12-27 20:22:34,744 - pyskl - INFO - Epoch [112][3000/3746] lr: 1.517e-02, eta: 1 day, 1:00:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4000, top5_acc: 0.6586, loss_cls: 3.8095, loss: 3.8095 2023-12-27 20:23:34,268 - pyskl - INFO - Epoch [112][3100/3746] lr: 1.515e-02, eta: 1 day, 0:59:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3934, top5_acc: 0.6495, loss_cls: 3.8289, loss: 3.8289 2023-12-27 20:24:33,498 - pyskl - INFO - Epoch [112][3200/3746] lr: 1.513e-02, eta: 1 day, 0:58:31, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3981, top5_acc: 0.6608, loss_cls: 3.8069, loss: 3.8069 2023-12-27 20:25:33,284 - pyskl - INFO - Epoch [112][3300/3746] lr: 1.511e-02, eta: 1 day, 0:57:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3955, top5_acc: 0.6511, loss_cls: 3.8255, loss: 3.8255 2023-12-27 20:26:33,764 - pyskl - INFO - Epoch [112][3400/3746] lr: 1.509e-02, eta: 1 day, 0:56:23, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3989, top5_acc: 0.6552, loss_cls: 3.8108, loss: 3.8108 2023-12-27 20:27:33,462 - pyskl - INFO - Epoch [112][3500/3746] lr: 1.507e-02, eta: 1 day, 0:55:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4005, top5_acc: 0.6497, loss_cls: 3.8147, loss: 3.8147 2023-12-27 20:28:33,081 - pyskl - INFO - Epoch [112][3600/3746] lr: 1.505e-02, eta: 1 day, 0:54:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3950, top5_acc: 0.6473, loss_cls: 3.8563, loss: 3.8563 2023-12-27 20:29:33,638 - pyskl - INFO - Epoch [112][3700/3746] lr: 1.503e-02, eta: 1 day, 0:53:11, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3891, top5_acc: 0.6558, loss_cls: 3.8311, loss: 3.8311 2023-12-27 20:30:04,717 - pyskl - INFO - Saving checkpoint at 112 epochs 2023-12-27 20:32:05,466 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 20:32:06,280 - pyskl - INFO - top1_acc 0.3326 top5_acc 0.5921 2023-12-27 20:32:06,281 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 20:32:06,315 - pyskl - INFO - mean_acc 0.3324 2023-12-27 20:32:06,320 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_111.pth was removed 2023-12-27 20:32:06,569 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. 2023-12-27 20:32:06,570 - pyskl - INFO - Best top1_acc is 0.3326 at 112 epoch. 2023-12-27 20:32:06,579 - pyskl - INFO - Epoch(val) [112][309] top1_acc: 0.3326, top5_acc: 0.5921, mean_class_accuracy: 0.3324 2023-12-27 20:35:35,808 - pyskl - INFO - Epoch [113][100/3746] lr: 1.500e-02, eta: 1 day, 0:52:19, time: 2.092, data_time: 1.485, memory: 16177, top1_acc: 0.4059, top5_acc: 0.6664, loss_cls: 3.7483, loss: 3.7483 2023-12-27 20:36:36,382 - pyskl - INFO - Epoch [113][200/3746] lr: 1.498e-02, eta: 1 day, 0:51:15, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4134, top5_acc: 0.6763, loss_cls: 3.7144, loss: 3.7144 2023-12-27 20:37:35,916 - pyskl - INFO - Epoch [113][300/3746] lr: 1.496e-02, eta: 1 day, 0:50:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4142, top5_acc: 0.6666, loss_cls: 3.7346, loss: 3.7346 2023-12-27 20:38:35,833 - pyskl - INFO - Epoch [113][400/3746] lr: 1.494e-02, eta: 1 day, 0:49:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4048, top5_acc: 0.6677, loss_cls: 3.7535, loss: 3.7535 2023-12-27 20:39:35,423 - pyskl - INFO - Epoch [113][500/3746] lr: 1.492e-02, eta: 1 day, 0:48:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4028, top5_acc: 0.6644, loss_cls: 3.7524, loss: 3.7524 2023-12-27 20:40:34,798 - pyskl - INFO - Epoch [113][600/3746] lr: 1.490e-02, eta: 1 day, 0:46:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4145, top5_acc: 0.6645, loss_cls: 3.7527, loss: 3.7527 2023-12-27 20:41:34,404 - pyskl - INFO - Epoch [113][700/3746] lr: 1.488e-02, eta: 1 day, 0:45:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4008, top5_acc: 0.6561, loss_cls: 3.7921, loss: 3.7921 2023-12-27 20:42:33,765 - pyskl - INFO - Epoch [113][800/3746] lr: 1.486e-02, eta: 1 day, 0:44:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3984, top5_acc: 0.6658, loss_cls: 3.7784, loss: 3.7784 2023-12-27 20:43:33,251 - pyskl - INFO - Epoch [113][900/3746] lr: 1.484e-02, eta: 1 day, 0:43:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4059, top5_acc: 0.6620, loss_cls: 3.7858, loss: 3.7858 2023-12-27 20:44:32,864 - pyskl - INFO - Epoch [113][1000/3746] lr: 1.482e-02, eta: 1 day, 0:42:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3997, top5_acc: 0.6523, loss_cls: 3.8127, loss: 3.8127 2023-12-27 20:45:32,338 - pyskl - INFO - Epoch [113][1100/3746] lr: 1.480e-02, eta: 1 day, 0:41:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4164, top5_acc: 0.6670, loss_cls: 3.7402, loss: 3.7402 2023-12-27 20:46:32,116 - pyskl - INFO - Epoch [113][1200/3746] lr: 1.478e-02, eta: 1 day, 0:40:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3969, top5_acc: 0.6628, loss_cls: 3.7956, loss: 3.7956 2023-12-27 20:47:31,540 - pyskl - INFO - Epoch [113][1300/3746] lr: 1.476e-02, eta: 1 day, 0:39:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3994, top5_acc: 0.6633, loss_cls: 3.7924, loss: 3.7924 2023-12-27 20:48:31,558 - pyskl - INFO - Epoch [113][1400/3746] lr: 1.474e-02, eta: 1 day, 0:38:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3986, top5_acc: 0.6595, loss_cls: 3.7954, loss: 3.7954 2023-12-27 20:49:31,512 - pyskl - INFO - Epoch [113][1500/3746] lr: 1.472e-02, eta: 1 day, 0:37:23, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4116, top5_acc: 0.6669, loss_cls: 3.7504, loss: 3.7504 2023-12-27 20:50:30,922 - pyskl - INFO - Epoch [113][1600/3746] lr: 1.470e-02, eta: 1 day, 0:36:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3898, top5_acc: 0.6542, loss_cls: 3.8360, loss: 3.8360 2023-12-27 20:51:31,553 - pyskl - INFO - Epoch [113][1700/3746] lr: 1.468e-02, eta: 1 day, 0:35:15, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3997, top5_acc: 0.6606, loss_cls: 3.8118, loss: 3.8118 2023-12-27 20:52:32,568 - pyskl - INFO - Epoch [113][1800/3746] lr: 1.466e-02, eta: 1 day, 0:34:11, time: 0.610, data_time: 0.001, memory: 16177, top1_acc: 0.3973, top5_acc: 0.6586, loss_cls: 3.8143, loss: 3.8143 2023-12-27 20:53:33,643 - pyskl - INFO - Epoch [113][1900/3746] lr: 1.464e-02, eta: 1 day, 0:33:08, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3978, top5_acc: 0.6475, loss_cls: 3.8272, loss: 3.8272 2023-12-27 20:54:33,100 - pyskl - INFO - Epoch [113][2000/3746] lr: 1.462e-02, eta: 1 day, 0:32:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4030, top5_acc: 0.6575, loss_cls: 3.7925, loss: 3.7925 2023-12-27 20:55:33,154 - pyskl - INFO - Epoch [113][2100/3746] lr: 1.460e-02, eta: 1 day, 0:31:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3983, top5_acc: 0.6527, loss_cls: 3.8185, loss: 3.8185 2023-12-27 20:56:32,522 - pyskl - INFO - Epoch [113][2200/3746] lr: 1.458e-02, eta: 1 day, 0:29:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3845, top5_acc: 0.6570, loss_cls: 3.8177, loss: 3.8177 2023-12-27 20:57:32,242 - pyskl - INFO - Epoch [113][2300/3746] lr: 1.456e-02, eta: 1 day, 0:28:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4000, top5_acc: 0.6577, loss_cls: 3.7951, loss: 3.7951 2023-12-27 20:58:32,528 - pyskl - INFO - Epoch [113][2400/3746] lr: 1.454e-02, eta: 1 day, 0:27:48, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3973, top5_acc: 0.6538, loss_cls: 3.8108, loss: 3.8108 2023-12-27 20:59:32,014 - pyskl - INFO - Epoch [113][2500/3746] lr: 1.452e-02, eta: 1 day, 0:26:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4000, top5_acc: 0.6544, loss_cls: 3.7992, loss: 3.7992 2023-12-27 21:00:31,380 - pyskl - INFO - Epoch [113][2600/3746] lr: 1.450e-02, eta: 1 day, 0:25:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4012, top5_acc: 0.6608, loss_cls: 3.7781, loss: 3.7781 2023-12-27 21:01:30,939 - pyskl - INFO - Epoch [113][2700/3746] lr: 1.448e-02, eta: 1 day, 0:24:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4009, top5_acc: 0.6602, loss_cls: 3.7945, loss: 3.7945 2023-12-27 21:02:30,347 - pyskl - INFO - Epoch [113][2800/3746] lr: 1.446e-02, eta: 1 day, 0:23:32, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3958, top5_acc: 0.6669, loss_cls: 3.7811, loss: 3.7811 2023-12-27 21:03:29,932 - pyskl - INFO - Epoch [113][2900/3746] lr: 1.444e-02, eta: 1 day, 0:22:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4036, top5_acc: 0.6538, loss_cls: 3.8023, loss: 3.8023 2023-12-27 21:04:30,102 - pyskl - INFO - Epoch [113][3000/3746] lr: 1.442e-02, eta: 1 day, 0:21:24, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3914, top5_acc: 0.6539, loss_cls: 3.8383, loss: 3.8383 2023-12-27 21:05:30,962 - pyskl - INFO - Epoch [113][3100/3746] lr: 1.440e-02, eta: 1 day, 0:20:20, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.4028, top5_acc: 0.6594, loss_cls: 3.8016, loss: 3.8016 2023-12-27 21:06:30,746 - pyskl - INFO - Epoch [113][3200/3746] lr: 1.438e-02, eta: 1 day, 0:19:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4034, top5_acc: 0.6641, loss_cls: 3.7661, loss: 3.7661 2023-12-27 21:07:30,199 - pyskl - INFO - Epoch [113][3300/3746] lr: 1.436e-02, eta: 1 day, 0:18:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4059, top5_acc: 0.6603, loss_cls: 3.7873, loss: 3.7873 2023-12-27 21:08:29,774 - pyskl - INFO - Epoch [113][3400/3746] lr: 1.434e-02, eta: 1 day, 0:17:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3987, top5_acc: 0.6506, loss_cls: 3.8454, loss: 3.8454 2023-12-27 21:09:29,258 - pyskl - INFO - Epoch [113][3500/3746] lr: 1.432e-02, eta: 1 day, 0:16:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4088, top5_acc: 0.6675, loss_cls: 3.7600, loss: 3.7600 2023-12-27 21:10:28,612 - pyskl - INFO - Epoch [113][3600/3746] lr: 1.431e-02, eta: 1 day, 0:15:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3984, top5_acc: 0.6534, loss_cls: 3.7861, loss: 3.7861 2023-12-27 21:11:28,091 - pyskl - INFO - Epoch [113][3700/3746] lr: 1.429e-02, eta: 1 day, 0:13:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4030, top5_acc: 0.6611, loss_cls: 3.7880, loss: 3.7880 2023-12-27 21:11:58,858 - pyskl - INFO - Saving checkpoint at 113 epochs 2023-12-27 21:14:04,115 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 21:14:05,178 - pyskl - INFO - top1_acc 0.3459 top5_acc 0.5979 2023-12-27 21:14:05,179 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 21:14:05,217 - pyskl - INFO - mean_acc 0.3456 2023-12-27 21:14:05,223 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_112.pth was removed 2023-12-27 21:14:05,530 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. 2023-12-27 21:14:05,530 - pyskl - INFO - Best top1_acc is 0.3459 at 113 epoch. 2023-12-27 21:14:05,539 - pyskl - INFO - Epoch(val) [113][309] top1_acc: 0.3459, top5_acc: 0.5979, mean_class_accuracy: 0.3456 2023-12-27 21:17:31,304 - pyskl - INFO - Epoch [114][100/3746] lr: 1.426e-02, eta: 1 day, 0:13:01, time: 2.058, data_time: 1.454, memory: 16177, top1_acc: 0.4180, top5_acc: 0.6794, loss_cls: 3.7033, loss: 3.7033 2023-12-27 21:18:32,036 - pyskl - INFO - Epoch [114][200/3746] lr: 1.424e-02, eta: 1 day, 0:11:58, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.4075, top5_acc: 0.6695, loss_cls: 3.7294, loss: 3.7294 2023-12-27 21:19:31,726 - pyskl - INFO - Epoch [114][300/3746] lr: 1.422e-02, eta: 1 day, 0:10:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4012, top5_acc: 0.6758, loss_cls: 3.7402, loss: 3.7402 2023-12-27 21:20:31,313 - pyskl - INFO - Epoch [114][400/3746] lr: 1.420e-02, eta: 1 day, 0:09:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4158, top5_acc: 0.6755, loss_cls: 3.7224, loss: 3.7224 2023-12-27 21:21:30,897 - pyskl - INFO - Epoch [114][500/3746] lr: 1.418e-02, eta: 1 day, 0:08:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4206, top5_acc: 0.6766, loss_cls: 3.7182, loss: 3.7182 2023-12-27 21:22:30,464 - pyskl - INFO - Epoch [114][600/3746] lr: 1.416e-02, eta: 1 day, 0:07:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3891, top5_acc: 0.6538, loss_cls: 3.8022, loss: 3.8022 2023-12-27 21:23:30,206 - pyskl - INFO - Epoch [114][700/3746] lr: 1.414e-02, eta: 1 day, 0:06:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4125, top5_acc: 0.6764, loss_cls: 3.7114, loss: 3.7114 2023-12-27 21:24:29,978 - pyskl - INFO - Epoch [114][800/3746] lr: 1.412e-02, eta: 1 day, 0:05:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4041, top5_acc: 0.6661, loss_cls: 3.7362, loss: 3.7362 2023-12-27 21:25:29,466 - pyskl - INFO - Epoch [114][900/3746] lr: 1.410e-02, eta: 1 day, 0:04:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4025, top5_acc: 0.6666, loss_cls: 3.7523, loss: 3.7523 2023-12-27 21:26:29,173 - pyskl - INFO - Epoch [114][1000/3746] lr: 1.408e-02, eta: 1 day, 0:03:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4014, top5_acc: 0.6641, loss_cls: 3.7730, loss: 3.7730 2023-12-27 21:27:28,856 - pyskl - INFO - Epoch [114][1100/3746] lr: 1.406e-02, eta: 1 day, 0:02:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4058, top5_acc: 0.6617, loss_cls: 3.7745, loss: 3.7745 2023-12-27 21:28:28,290 - pyskl - INFO - Epoch [114][1200/3746] lr: 1.404e-02, eta: 1 day, 0:01:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4000, top5_acc: 0.6584, loss_cls: 3.7728, loss: 3.7728 2023-12-27 21:29:27,871 - pyskl - INFO - Epoch [114][1300/3746] lr: 1.402e-02, eta: 1 day, 0:00:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4020, top5_acc: 0.6605, loss_cls: 3.7766, loss: 3.7766 2023-12-27 21:30:27,095 - pyskl - INFO - Epoch [114][1400/3746] lr: 1.400e-02, eta: 23:59:09, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3981, top5_acc: 0.6559, loss_cls: 3.7946, loss: 3.7946 2023-12-27 21:31:26,539 - pyskl - INFO - Epoch [114][1500/3746] lr: 1.398e-02, eta: 23:58:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4167, top5_acc: 0.6681, loss_cls: 3.7393, loss: 3.7393 2023-12-27 21:32:25,956 - pyskl - INFO - Epoch [114][1600/3746] lr: 1.397e-02, eta: 23:57:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3967, top5_acc: 0.6514, loss_cls: 3.8238, loss: 3.8238 2023-12-27 21:33:25,649 - pyskl - INFO - Epoch [114][1700/3746] lr: 1.395e-02, eta: 23:55:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4072, top5_acc: 0.6606, loss_cls: 3.7787, loss: 3.7787 2023-12-27 21:34:26,278 - pyskl - INFO - Epoch [114][1800/3746] lr: 1.393e-02, eta: 23:54:53, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4033, top5_acc: 0.6534, loss_cls: 3.7903, loss: 3.7903 2023-12-27 21:35:26,768 - pyskl - INFO - Epoch [114][1900/3746] lr: 1.391e-02, eta: 23:53:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4028, top5_acc: 0.6644, loss_cls: 3.7581, loss: 3.7581 2023-12-27 21:36:26,820 - pyskl - INFO - Epoch [114][2000/3746] lr: 1.389e-02, eta: 23:52:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4036, top5_acc: 0.6509, loss_cls: 3.8252, loss: 3.8252 2023-12-27 21:37:27,174 - pyskl - INFO - Epoch [114][2100/3746] lr: 1.387e-02, eta: 23:51:42, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4025, top5_acc: 0.6705, loss_cls: 3.7452, loss: 3.7452 2023-12-27 21:38:26,749 - pyskl - INFO - Epoch [114][2200/3746] lr: 1.385e-02, eta: 23:50:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4077, top5_acc: 0.6584, loss_cls: 3.7917, loss: 3.7917 2023-12-27 21:39:26,421 - pyskl - INFO - Epoch [114][2300/3746] lr: 1.383e-02, eta: 23:49:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4030, top5_acc: 0.6650, loss_cls: 3.7686, loss: 3.7686 2023-12-27 21:40:26,048 - pyskl - INFO - Epoch [114][2400/3746] lr: 1.381e-02, eta: 23:48:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4102, top5_acc: 0.6663, loss_cls: 3.7414, loss: 3.7414 2023-12-27 21:41:25,496 - pyskl - INFO - Epoch [114][2500/3746] lr: 1.379e-02, eta: 23:47:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4022, top5_acc: 0.6570, loss_cls: 3.7999, loss: 3.7999 2023-12-27 21:42:24,854 - pyskl - INFO - Epoch [114][2600/3746] lr: 1.377e-02, eta: 23:46:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4012, top5_acc: 0.6577, loss_cls: 3.7903, loss: 3.7903 2023-12-27 21:43:24,170 - pyskl - INFO - Epoch [114][2700/3746] lr: 1.375e-02, eta: 23:45:18, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4114, top5_acc: 0.6617, loss_cls: 3.7596, loss: 3.7596 2023-12-27 21:44:24,748 - pyskl - INFO - Epoch [114][2800/3746] lr: 1.373e-02, eta: 23:44:14, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4062, top5_acc: 0.6703, loss_cls: 3.7364, loss: 3.7364 2023-12-27 21:45:24,340 - pyskl - INFO - Epoch [114][2900/3746] lr: 1.371e-02, eta: 23:43:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4103, top5_acc: 0.6639, loss_cls: 3.7728, loss: 3.7728 2023-12-27 21:46:24,130 - pyskl - INFO - Epoch [114][3000/3746] lr: 1.369e-02, eta: 23:42:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3912, top5_acc: 0.6553, loss_cls: 3.8293, loss: 3.8293 2023-12-27 21:47:23,480 - pyskl - INFO - Epoch [114][3100/3746] lr: 1.368e-02, eta: 23:41:02, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4023, top5_acc: 0.6556, loss_cls: 3.8063, loss: 3.8063 2023-12-27 21:48:23,008 - pyskl - INFO - Epoch [114][3200/3746] lr: 1.366e-02, eta: 23:39:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4066, top5_acc: 0.6587, loss_cls: 3.7941, loss: 3.7941 2023-12-27 21:49:23,650 - pyskl - INFO - Epoch [114][3300/3746] lr: 1.364e-02, eta: 23:38:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4094, top5_acc: 0.6561, loss_cls: 3.7804, loss: 3.7804 2023-12-27 21:50:24,330 - pyskl - INFO - Epoch [114][3400/3746] lr: 1.362e-02, eta: 23:37:51, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.4031, top5_acc: 0.6595, loss_cls: 3.7786, loss: 3.7786 2023-12-27 21:51:23,694 - pyskl - INFO - Epoch [114][3500/3746] lr: 1.360e-02, eta: 23:36:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4030, top5_acc: 0.6600, loss_cls: 3.7857, loss: 3.7857 2023-12-27 21:52:22,961 - pyskl - INFO - Epoch [114][3600/3746] lr: 1.358e-02, eta: 23:35:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4037, top5_acc: 0.6608, loss_cls: 3.7603, loss: 3.7603 2023-12-27 21:53:22,542 - pyskl - INFO - Epoch [114][3700/3746] lr: 1.356e-02, eta: 23:34:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4048, top5_acc: 0.6664, loss_cls: 3.7616, loss: 3.7616 2023-12-27 21:53:52,434 - pyskl - INFO - Saving checkpoint at 114 epochs 2023-12-27 21:55:53,852 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 21:55:54,767 - pyskl - INFO - top1_acc 0.3308 top5_acc 0.5865 2023-12-27 21:55:54,767 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 21:55:54,813 - pyskl - INFO - mean_acc 0.3305 2023-12-27 21:55:54,823 - pyskl - INFO - Epoch(val) [114][309] top1_acc: 0.3308, top5_acc: 0.5865, mean_class_accuracy: 0.3305 2023-12-27 21:59:14,893 - pyskl - INFO - Epoch [115][100/3746] lr: 1.353e-02, eta: 23:33:41, time: 2.001, data_time: 1.401, memory: 16177, top1_acc: 0.4284, top5_acc: 0.6811, loss_cls: 3.6652, loss: 3.6652 2023-12-27 22:00:15,276 - pyskl - INFO - Epoch [115][200/3746] lr: 1.351e-02, eta: 23:32:37, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4209, top5_acc: 0.6778, loss_cls: 3.6981, loss: 3.6981 2023-12-27 22:01:15,504 - pyskl - INFO - Epoch [115][300/3746] lr: 1.349e-02, eta: 23:31:34, time: 0.602, data_time: 0.001, memory: 16177, top1_acc: 0.4195, top5_acc: 0.6772, loss_cls: 3.6928, loss: 3.6928 2023-12-27 22:02:15,445 - pyskl - INFO - Epoch [115][400/3746] lr: 1.348e-02, eta: 23:30:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4178, top5_acc: 0.6758, loss_cls: 3.7184, loss: 3.7184 2023-12-27 22:03:14,933 - pyskl - INFO - Epoch [115][500/3746] lr: 1.346e-02, eta: 23:29:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4084, top5_acc: 0.6716, loss_cls: 3.7128, loss: 3.7128 2023-12-27 22:04:14,053 - pyskl - INFO - Epoch [115][600/3746] lr: 1.344e-02, eta: 23:28:22, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4138, top5_acc: 0.6828, loss_cls: 3.6934, loss: 3.6934 2023-12-27 22:05:13,424 - pyskl - INFO - Epoch [115][700/3746] lr: 1.342e-02, eta: 23:27:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4031, top5_acc: 0.6650, loss_cls: 3.7790, loss: 3.7790 2023-12-27 22:06:12,690 - pyskl - INFO - Epoch [115][800/3746] lr: 1.340e-02, eta: 23:26:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4109, top5_acc: 0.6633, loss_cls: 3.7403, loss: 3.7403 2023-12-27 22:07:12,147 - pyskl - INFO - Epoch [115][900/3746] lr: 1.338e-02, eta: 23:25:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4183, top5_acc: 0.6747, loss_cls: 3.7283, loss: 3.7283 2023-12-27 22:08:11,558 - pyskl - INFO - Epoch [115][1000/3746] lr: 1.336e-02, eta: 23:24:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4083, top5_acc: 0.6619, loss_cls: 3.7844, loss: 3.7844 2023-12-27 22:09:11,623 - pyskl - INFO - Epoch [115][1100/3746] lr: 1.334e-02, eta: 23:23:01, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4034, top5_acc: 0.6684, loss_cls: 3.7397, loss: 3.7397 2023-12-27 22:10:11,952 - pyskl - INFO - Epoch [115][1200/3746] lr: 1.332e-02, eta: 23:21:58, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4092, top5_acc: 0.6761, loss_cls: 3.7189, loss: 3.7189 2023-12-27 22:11:12,094 - pyskl - INFO - Epoch [115][1300/3746] lr: 1.330e-02, eta: 23:20:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4109, top5_acc: 0.6694, loss_cls: 3.7440, loss: 3.7440 2023-12-27 22:12:12,756 - pyskl - INFO - Epoch [115][1400/3746] lr: 1.328e-02, eta: 23:19:50, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.4077, top5_acc: 0.6639, loss_cls: 3.7615, loss: 3.7615 2023-12-27 22:13:12,391 - pyskl - INFO - Epoch [115][1500/3746] lr: 1.327e-02, eta: 23:18:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3992, top5_acc: 0.6608, loss_cls: 3.7755, loss: 3.7755 2023-12-27 22:14:12,870 - pyskl - INFO - Epoch [115][1600/3746] lr: 1.325e-02, eta: 23:17:43, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4088, top5_acc: 0.6634, loss_cls: 3.7597, loss: 3.7597 2023-12-27 22:15:13,284 - pyskl - INFO - Epoch [115][1700/3746] lr: 1.323e-02, eta: 23:16:39, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4088, top5_acc: 0.6620, loss_cls: 3.7632, loss: 3.7632 2023-12-27 22:16:13,642 - pyskl - INFO - Epoch [115][1800/3746] lr: 1.321e-02, eta: 23:15:35, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4158, top5_acc: 0.6648, loss_cls: 3.7166, loss: 3.7166 2023-12-27 22:17:13,980 - pyskl - INFO - Epoch [115][1900/3746] lr: 1.319e-02, eta: 23:14:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4103, top5_acc: 0.6728, loss_cls: 3.7443, loss: 3.7443 2023-12-27 22:18:13,620 - pyskl - INFO - Epoch [115][2000/3746] lr: 1.317e-02, eta: 23:13:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4066, top5_acc: 0.6639, loss_cls: 3.7463, loss: 3.7463 2023-12-27 22:19:13,927 - pyskl - INFO - Epoch [115][2100/3746] lr: 1.315e-02, eta: 23:12:24, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4037, top5_acc: 0.6598, loss_cls: 3.7772, loss: 3.7772 2023-12-27 22:20:13,957 - pyskl - INFO - Epoch [115][2200/3746] lr: 1.313e-02, eta: 23:11:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4100, top5_acc: 0.6606, loss_cls: 3.7586, loss: 3.7586 2023-12-27 22:21:13,215 - pyskl - INFO - Epoch [115][2300/3746] lr: 1.311e-02, eta: 23:10:16, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4008, top5_acc: 0.6598, loss_cls: 3.7876, loss: 3.7876 2023-12-27 22:22:12,476 - pyskl - INFO - Epoch [115][2400/3746] lr: 1.310e-02, eta: 23:09:12, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4061, top5_acc: 0.6687, loss_cls: 3.7662, loss: 3.7662 2023-12-27 22:23:11,885 - pyskl - INFO - Epoch [115][2500/3746] lr: 1.308e-02, eta: 23:08:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3967, top5_acc: 0.6505, loss_cls: 3.8173, loss: 3.8173 2023-12-27 22:24:11,052 - pyskl - INFO - Epoch [115][2600/3746] lr: 1.306e-02, eta: 23:07:04, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4098, top5_acc: 0.6630, loss_cls: 3.7693, loss: 3.7693 2023-12-27 22:25:10,236 - pyskl - INFO - Epoch [115][2700/3746] lr: 1.304e-02, eta: 23:06:00, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4120, top5_acc: 0.6766, loss_cls: 3.7187, loss: 3.7187 2023-12-27 22:26:09,584 - pyskl - INFO - Epoch [115][2800/3746] lr: 1.302e-02, eta: 23:04:56, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3945, top5_acc: 0.6644, loss_cls: 3.7748, loss: 3.7748 2023-12-27 22:27:09,028 - pyskl - INFO - Epoch [115][2900/3746] lr: 1.300e-02, eta: 23:03:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4145, top5_acc: 0.6681, loss_cls: 3.7407, loss: 3.7407 2023-12-27 22:28:08,451 - pyskl - INFO - Epoch [115][3000/3746] lr: 1.298e-02, eta: 23:02:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4012, top5_acc: 0.6713, loss_cls: 3.7495, loss: 3.7495 2023-12-27 22:29:08,458 - pyskl - INFO - Epoch [115][3100/3746] lr: 1.296e-02, eta: 23:01:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4100, top5_acc: 0.6733, loss_cls: 3.7414, loss: 3.7414 2023-12-27 22:30:07,933 - pyskl - INFO - Epoch [115][3200/3746] lr: 1.295e-02, eta: 23:00:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4005, top5_acc: 0.6597, loss_cls: 3.7707, loss: 3.7707 2023-12-27 22:31:08,090 - pyskl - INFO - Epoch [115][3300/3746] lr: 1.293e-02, eta: 22:59:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4072, top5_acc: 0.6572, loss_cls: 3.7738, loss: 3.7738 2023-12-27 22:32:08,123 - pyskl - INFO - Epoch [115][3400/3746] lr: 1.291e-02, eta: 22:58:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4025, top5_acc: 0.6566, loss_cls: 3.8018, loss: 3.8018 2023-12-27 22:33:07,365 - pyskl - INFO - Epoch [115][3500/3746] lr: 1.289e-02, eta: 22:57:28, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4164, top5_acc: 0.6705, loss_cls: 3.7311, loss: 3.7311 2023-12-27 22:34:06,733 - pyskl - INFO - Epoch [115][3600/3746] lr: 1.287e-02, eta: 22:56:24, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4031, top5_acc: 0.6720, loss_cls: 3.7483, loss: 3.7483 2023-12-27 22:35:06,110 - pyskl - INFO - Epoch [115][3700/3746] lr: 1.285e-02, eta: 22:55:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4053, top5_acc: 0.6678, loss_cls: 3.7560, loss: 3.7560 2023-12-27 22:35:36,721 - pyskl - INFO - Saving checkpoint at 115 epochs 2023-12-27 22:37:38,131 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 22:37:39,200 - pyskl - INFO - top1_acc 0.3442 top5_acc 0.5990 2023-12-27 22:37:39,200 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 22:37:39,240 - pyskl - INFO - mean_acc 0.3439 2023-12-27 22:37:39,253 - pyskl - INFO - Epoch(val) [115][309] top1_acc: 0.3442, top5_acc: 0.5990, mean_class_accuracy: 0.3439 2023-12-27 22:40:59,421 - pyskl - INFO - Epoch [116][100/3746] lr: 1.282e-02, eta: 22:54:21, time: 2.002, data_time: 1.399, memory: 16177, top1_acc: 0.4141, top5_acc: 0.6759, loss_cls: 3.6925, loss: 3.6925 2023-12-27 22:41:59,852 - pyskl - INFO - Epoch [116][200/3746] lr: 1.281e-02, eta: 22:53:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4244, top5_acc: 0.6820, loss_cls: 3.6726, loss: 3.6726 2023-12-27 22:42:59,633 - pyskl - INFO - Epoch [116][300/3746] lr: 1.279e-02, eta: 22:52:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4298, top5_acc: 0.6836, loss_cls: 3.6433, loss: 3.6433 2023-12-27 22:43:59,385 - pyskl - INFO - Epoch [116][400/3746] lr: 1.277e-02, eta: 22:51:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4183, top5_acc: 0.6725, loss_cls: 3.7069, loss: 3.7069 2023-12-27 22:44:59,513 - pyskl - INFO - Epoch [116][500/3746] lr: 1.275e-02, eta: 22:50:06, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4089, top5_acc: 0.6778, loss_cls: 3.7197, loss: 3.7197 2023-12-27 22:45:58,779 - pyskl - INFO - Epoch [116][600/3746] lr: 1.273e-02, eta: 22:49:02, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4170, top5_acc: 0.6770, loss_cls: 3.6948, loss: 3.6948 2023-12-27 22:46:58,067 - pyskl - INFO - Epoch [116][700/3746] lr: 1.271e-02, eta: 22:47:58, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4130, top5_acc: 0.6803, loss_cls: 3.6910, loss: 3.6910 2023-12-27 22:47:57,550 - pyskl - INFO - Epoch [116][800/3746] lr: 1.269e-02, eta: 22:46:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4219, top5_acc: 0.6780, loss_cls: 3.6877, loss: 3.6877 2023-12-27 22:48:56,877 - pyskl - INFO - Epoch [116][900/3746] lr: 1.268e-02, eta: 22:45:50, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4198, top5_acc: 0.6753, loss_cls: 3.6823, loss: 3.6823 2023-12-27 22:49:56,106 - pyskl - INFO - Epoch [116][1000/3746] lr: 1.266e-02, eta: 22:44:46, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4184, top5_acc: 0.6778, loss_cls: 3.7043, loss: 3.7043 2023-12-27 22:50:55,500 - pyskl - INFO - Epoch [116][1100/3746] lr: 1.264e-02, eta: 22:43:42, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4053, top5_acc: 0.6692, loss_cls: 3.7327, loss: 3.7327 2023-12-27 22:51:55,337 - pyskl - INFO - Epoch [116][1200/3746] lr: 1.262e-02, eta: 22:42:38, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4017, top5_acc: 0.6600, loss_cls: 3.7832, loss: 3.7832 2023-12-27 22:52:54,849 - pyskl - INFO - Epoch [116][1300/3746] lr: 1.260e-02, eta: 22:41:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4136, top5_acc: 0.6655, loss_cls: 3.7405, loss: 3.7405 2023-12-27 22:53:54,518 - pyskl - INFO - Epoch [116][1400/3746] lr: 1.258e-02, eta: 22:40:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4136, top5_acc: 0.6766, loss_cls: 3.7025, loss: 3.7025 2023-12-27 22:54:54,098 - pyskl - INFO - Epoch [116][1500/3746] lr: 1.256e-02, eta: 22:39:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4105, top5_acc: 0.6728, loss_cls: 3.7090, loss: 3.7090 2023-12-27 22:55:53,623 - pyskl - INFO - Epoch [116][1600/3746] lr: 1.255e-02, eta: 22:38:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4105, top5_acc: 0.6708, loss_cls: 3.7320, loss: 3.7320 2023-12-27 22:56:52,940 - pyskl - INFO - Epoch [116][1700/3746] lr: 1.253e-02, eta: 22:37:18, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4122, top5_acc: 0.6798, loss_cls: 3.7050, loss: 3.7050 2023-12-27 22:57:52,821 - pyskl - INFO - Epoch [116][1800/3746] lr: 1.251e-02, eta: 22:36:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4123, top5_acc: 0.6731, loss_cls: 3.7149, loss: 3.7149 2023-12-27 22:58:53,480 - pyskl - INFO - Epoch [116][1900/3746] lr: 1.249e-02, eta: 22:35:11, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.4089, top5_acc: 0.6705, loss_cls: 3.7465, loss: 3.7465 2023-12-27 22:59:53,228 - pyskl - INFO - Epoch [116][2000/3746] lr: 1.247e-02, eta: 22:34:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4030, top5_acc: 0.6687, loss_cls: 3.7814, loss: 3.7814 2023-12-27 23:00:53,726 - pyskl - INFO - Epoch [116][2100/3746] lr: 1.245e-02, eta: 22:33:03, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4006, top5_acc: 0.6653, loss_cls: 3.7769, loss: 3.7769 2023-12-27 23:01:54,095 - pyskl - INFO - Epoch [116][2200/3746] lr: 1.243e-02, eta: 22:31:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4058, top5_acc: 0.6603, loss_cls: 3.7609, loss: 3.7609 2023-12-27 23:02:53,462 - pyskl - INFO - Epoch [116][2300/3746] lr: 1.242e-02, eta: 22:30:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4191, top5_acc: 0.6716, loss_cls: 3.7166, loss: 3.7166 2023-12-27 23:03:52,874 - pyskl - INFO - Epoch [116][2400/3746] lr: 1.240e-02, eta: 22:29:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4147, top5_acc: 0.6713, loss_cls: 3.7240, loss: 3.7240 2023-12-27 23:04:52,826 - pyskl - INFO - Epoch [116][2500/3746] lr: 1.238e-02, eta: 22:28:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3977, top5_acc: 0.6619, loss_cls: 3.7800, loss: 3.7800 2023-12-27 23:05:52,300 - pyskl - INFO - Epoch [116][2600/3746] lr: 1.236e-02, eta: 22:27:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4158, top5_acc: 0.6711, loss_cls: 3.7093, loss: 3.7093 2023-12-27 23:06:51,810 - pyskl - INFO - Epoch [116][2700/3746] lr: 1.234e-02, eta: 22:26:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4136, top5_acc: 0.6711, loss_cls: 3.7297, loss: 3.7297 2023-12-27 23:07:51,308 - pyskl - INFO - Epoch [116][2800/3746] lr: 1.232e-02, eta: 22:25:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4108, top5_acc: 0.6658, loss_cls: 3.7483, loss: 3.7483 2023-12-27 23:08:51,013 - pyskl - INFO - Epoch [116][2900/3746] lr: 1.231e-02, eta: 22:24:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4084, top5_acc: 0.6736, loss_cls: 3.7218, loss: 3.7218 2023-12-27 23:09:50,811 - pyskl - INFO - Epoch [116][3000/3746] lr: 1.229e-02, eta: 22:23:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4178, top5_acc: 0.6717, loss_cls: 3.7190, loss: 3.7190 2023-12-27 23:10:50,382 - pyskl - INFO - Epoch [116][3100/3746] lr: 1.227e-02, eta: 22:22:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4034, top5_acc: 0.6572, loss_cls: 3.7864, loss: 3.7864 2023-12-27 23:11:50,184 - pyskl - INFO - Epoch [116][3200/3746] lr: 1.225e-02, eta: 22:21:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4025, top5_acc: 0.6652, loss_cls: 3.7709, loss: 3.7709 2023-12-27 23:12:49,409 - pyskl - INFO - Epoch [116][3300/3746] lr: 1.223e-02, eta: 22:20:16, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4075, top5_acc: 0.6675, loss_cls: 3.7614, loss: 3.7614 2023-12-27 23:13:49,120 - pyskl - INFO - Epoch [116][3400/3746] lr: 1.221e-02, eta: 22:19:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4017, top5_acc: 0.6606, loss_cls: 3.7835, loss: 3.7835 2023-12-27 23:14:49,515 - pyskl - INFO - Epoch [116][3500/3746] lr: 1.220e-02, eta: 22:18:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4161, top5_acc: 0.6742, loss_cls: 3.7306, loss: 3.7306 2023-12-27 23:15:49,496 - pyskl - INFO - Epoch [116][3600/3746] lr: 1.218e-02, eta: 22:17:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4009, top5_acc: 0.6659, loss_cls: 3.7389, loss: 3.7389 2023-12-27 23:16:48,891 - pyskl - INFO - Epoch [116][3700/3746] lr: 1.216e-02, eta: 22:16:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4030, top5_acc: 0.6652, loss_cls: 3.7370, loss: 3.7370 2023-12-27 23:17:19,294 - pyskl - INFO - Saving checkpoint at 116 epochs 2023-12-27 23:19:20,705 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-27 23:19:21,762 - pyskl - INFO - top1_acc 0.3493 top5_acc 0.6071 2023-12-27 23:19:21,763 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-27 23:19:21,806 - pyskl - INFO - mean_acc 0.3491 2023-12-27 23:19:21,813 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_113.pth was removed 2023-12-27 23:19:22,101 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. 2023-12-27 23:19:22,101 - pyskl - INFO - Best top1_acc is 0.3493 at 116 epoch. 2023-12-27 23:19:22,110 - pyskl - INFO - Epoch(val) [116][309] top1_acc: 0.3493, top5_acc: 0.6071, mean_class_accuracy: 0.3491 2023-12-27 23:22:47,807 - pyskl - INFO - Epoch [117][100/3746] lr: 1.213e-02, eta: 22:15:03, time: 2.057, data_time: 1.455, memory: 16177, top1_acc: 0.4398, top5_acc: 0.6923, loss_cls: 3.6101, loss: 3.6101 2023-12-27 23:23:48,031 - pyskl - INFO - Epoch [117][200/3746] lr: 1.211e-02, eta: 22:13:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4280, top5_acc: 0.6844, loss_cls: 3.6545, loss: 3.6545 2023-12-27 23:24:47,497 - pyskl - INFO - Epoch [117][300/3746] lr: 1.210e-02, eta: 22:12:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4192, top5_acc: 0.6867, loss_cls: 3.6571, loss: 3.6571 2023-12-27 23:25:46,834 - pyskl - INFO - Epoch [117][400/3746] lr: 1.208e-02, eta: 22:11:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4252, top5_acc: 0.6844, loss_cls: 3.6522, loss: 3.6522 2023-12-27 23:26:46,551 - pyskl - INFO - Epoch [117][500/3746] lr: 1.206e-02, eta: 22:10:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4264, top5_acc: 0.6800, loss_cls: 3.6804, loss: 3.6804 2023-12-27 23:27:45,659 - pyskl - INFO - Epoch [117][600/3746] lr: 1.204e-02, eta: 22:09:43, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4163, top5_acc: 0.6734, loss_cls: 3.6872, loss: 3.6872 2023-12-27 23:28:45,210 - pyskl - INFO - Epoch [117][700/3746] lr: 1.202e-02, eta: 22:08:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4306, top5_acc: 0.6863, loss_cls: 3.6574, loss: 3.6574 2023-12-27 23:29:44,574 - pyskl - INFO - Epoch [117][800/3746] lr: 1.200e-02, eta: 22:07:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4102, top5_acc: 0.6673, loss_cls: 3.7322, loss: 3.7322 2023-12-27 23:30:44,372 - pyskl - INFO - Epoch [117][900/3746] lr: 1.199e-02, eta: 22:06:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4088, top5_acc: 0.6666, loss_cls: 3.7262, loss: 3.7262 2023-12-27 23:31:44,368 - pyskl - INFO - Epoch [117][1000/3746] lr: 1.197e-02, eta: 22:05:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4153, top5_acc: 0.6814, loss_cls: 3.7010, loss: 3.7010 2023-12-27 23:32:44,173 - pyskl - INFO - Epoch [117][1100/3746] lr: 1.195e-02, eta: 22:04:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4122, top5_acc: 0.6719, loss_cls: 3.7124, loss: 3.7124 2023-12-27 23:33:43,538 - pyskl - INFO - Epoch [117][1200/3746] lr: 1.193e-02, eta: 22:03:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4202, top5_acc: 0.6808, loss_cls: 3.6920, loss: 3.6920 2023-12-27 23:34:42,889 - pyskl - INFO - Epoch [117][1300/3746] lr: 1.191e-02, eta: 22:02:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4230, top5_acc: 0.6830, loss_cls: 3.6625, loss: 3.6625 2023-12-27 23:35:42,384 - pyskl - INFO - Epoch [117][1400/3746] lr: 1.190e-02, eta: 22:01:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4266, top5_acc: 0.6687, loss_cls: 3.6816, loss: 3.6816 2023-12-27 23:36:41,818 - pyskl - INFO - Epoch [117][1500/3746] lr: 1.188e-02, eta: 22:00:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4131, top5_acc: 0.6766, loss_cls: 3.7008, loss: 3.7008 2023-12-27 23:37:41,209 - pyskl - INFO - Epoch [117][1600/3746] lr: 1.186e-02, eta: 21:59:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4080, top5_acc: 0.6737, loss_cls: 3.7034, loss: 3.7034 2023-12-27 23:38:40,643 - pyskl - INFO - Epoch [117][1700/3746] lr: 1.184e-02, eta: 21:58:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4159, top5_acc: 0.6730, loss_cls: 3.7036, loss: 3.7036 2023-12-27 23:39:40,527 - pyskl - INFO - Epoch [117][1800/3746] lr: 1.182e-02, eta: 21:56:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4122, top5_acc: 0.6734, loss_cls: 3.7407, loss: 3.7407 2023-12-27 23:40:40,488 - pyskl - INFO - Epoch [117][1900/3746] lr: 1.181e-02, eta: 21:55:52, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4139, top5_acc: 0.6742, loss_cls: 3.7127, loss: 3.7127 2023-12-27 23:41:40,255 - pyskl - INFO - Epoch [117][2000/3746] lr: 1.179e-02, eta: 21:54:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4064, top5_acc: 0.6687, loss_cls: 3.7517, loss: 3.7517 2023-12-27 23:42:40,274 - pyskl - INFO - Epoch [117][2100/3746] lr: 1.177e-02, eta: 21:53:45, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4106, top5_acc: 0.6661, loss_cls: 3.7325, loss: 3.7325 2023-12-27 23:43:40,311 - pyskl - INFO - Epoch [117][2200/3746] lr: 1.175e-02, eta: 21:52:41, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4136, top5_acc: 0.6767, loss_cls: 3.7025, loss: 3.7025 2023-12-27 23:44:39,560 - pyskl - INFO - Epoch [117][2300/3746] lr: 1.173e-02, eta: 21:51:37, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4111, top5_acc: 0.6709, loss_cls: 3.7260, loss: 3.7260 2023-12-27 23:45:39,205 - pyskl - INFO - Epoch [117][2400/3746] lr: 1.172e-02, eta: 21:50:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4091, top5_acc: 0.6777, loss_cls: 3.7434, loss: 3.7434 2023-12-27 23:46:38,648 - pyskl - INFO - Epoch [117][2500/3746] lr: 1.170e-02, eta: 21:49:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4259, top5_acc: 0.6830, loss_cls: 3.6801, loss: 3.6801 2023-12-27 23:47:37,815 - pyskl - INFO - Epoch [117][2600/3746] lr: 1.168e-02, eta: 21:48:25, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4011, top5_acc: 0.6711, loss_cls: 3.7257, loss: 3.7257 2023-12-27 23:48:37,439 - pyskl - INFO - Epoch [117][2700/3746] lr: 1.166e-02, eta: 21:47:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4139, top5_acc: 0.6798, loss_cls: 3.7104, loss: 3.7104 2023-12-27 23:49:36,953 - pyskl - INFO - Epoch [117][2800/3746] lr: 1.164e-02, eta: 21:46:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4194, top5_acc: 0.6737, loss_cls: 3.7138, loss: 3.7138 2023-12-27 23:50:36,585 - pyskl - INFO - Epoch [117][2900/3746] lr: 1.163e-02, eta: 21:45:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4130, top5_acc: 0.6787, loss_cls: 3.7052, loss: 3.7052 2023-12-27 23:51:36,382 - pyskl - INFO - Epoch [117][3000/3746] lr: 1.161e-02, eta: 21:44:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4084, top5_acc: 0.6700, loss_cls: 3.7416, loss: 3.7416 2023-12-27 23:52:36,577 - pyskl - INFO - Epoch [117][3100/3746] lr: 1.159e-02, eta: 21:43:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4128, top5_acc: 0.6675, loss_cls: 3.7131, loss: 3.7131 2023-12-27 23:53:36,116 - pyskl - INFO - Epoch [117][3200/3746] lr: 1.157e-02, eta: 21:42:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4083, top5_acc: 0.6689, loss_cls: 3.7477, loss: 3.7477 2023-12-27 23:54:35,745 - pyskl - INFO - Epoch [117][3300/3746] lr: 1.155e-02, eta: 21:40:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4123, top5_acc: 0.6698, loss_cls: 3.7344, loss: 3.7344 2023-12-27 23:55:35,401 - pyskl - INFO - Epoch [117][3400/3746] lr: 1.154e-02, eta: 21:39:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3973, top5_acc: 0.6645, loss_cls: 3.7858, loss: 3.7858 2023-12-27 23:56:34,760 - pyskl - INFO - Epoch [117][3500/3746] lr: 1.152e-02, eta: 21:38:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4133, top5_acc: 0.6795, loss_cls: 3.7010, loss: 3.7010 2023-12-27 23:57:34,049 - pyskl - INFO - Epoch [117][3600/3746] lr: 1.150e-02, eta: 21:37:47, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4172, top5_acc: 0.6744, loss_cls: 3.7168, loss: 3.7168 2023-12-27 23:58:33,321 - pyskl - INFO - Epoch [117][3700/3746] lr: 1.148e-02, eta: 21:36:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4192, top5_acc: 0.6673, loss_cls: 3.7266, loss: 3.7266 2023-12-27 23:59:03,822 - pyskl - INFO - Saving checkpoint at 117 epochs 2023-12-28 00:01:02,715 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 00:01:03,496 - pyskl - INFO - top1_acc 0.3498 top5_acc 0.6076 2023-12-28 00:01:03,496 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 00:01:03,531 - pyskl - INFO - mean_acc 0.3495 2023-12-28 00:01:03,536 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_116.pth was removed 2023-12-28 00:01:03,812 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. 2023-12-28 00:01:03,813 - pyskl - INFO - Best top1_acc is 0.3498 at 117 epoch. 2023-12-28 00:01:03,836 - pyskl - INFO - Epoch(val) [117][309] top1_acc: 0.3498, top5_acc: 0.6076, mean_class_accuracy: 0.3495 2023-12-28 00:04:30,193 - pyskl - INFO - Epoch [118][100/3746] lr: 1.146e-02, eta: 21:35:43, time: 2.063, data_time: 1.463, memory: 16177, top1_acc: 0.4284, top5_acc: 0.6777, loss_cls: 3.6613, loss: 3.6613 2023-12-28 00:05:30,173 - pyskl - INFO - Epoch [118][200/3746] lr: 1.144e-02, eta: 21:34:39, time: 0.600, data_time: 0.001, memory: 16177, top1_acc: 0.4227, top5_acc: 0.6870, loss_cls: 3.6555, loss: 3.6555 2023-12-28 00:06:29,714 - pyskl - INFO - Epoch [118][300/3746] lr: 1.142e-02, eta: 21:33:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4245, top5_acc: 0.6867, loss_cls: 3.6338, loss: 3.6338 2023-12-28 00:07:29,757 - pyskl - INFO - Epoch [118][400/3746] lr: 1.140e-02, eta: 21:32:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4214, top5_acc: 0.6795, loss_cls: 3.6838, loss: 3.6838 2023-12-28 00:08:29,399 - pyskl - INFO - Epoch [118][500/3746] lr: 1.139e-02, eta: 21:31:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4223, top5_acc: 0.6902, loss_cls: 3.6404, loss: 3.6404 2023-12-28 00:09:28,878 - pyskl - INFO - Epoch [118][600/3746] lr: 1.137e-02, eta: 21:30:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4217, top5_acc: 0.6767, loss_cls: 3.6872, loss: 3.6872 2023-12-28 00:10:28,466 - pyskl - INFO - Epoch [118][700/3746] lr: 1.135e-02, eta: 21:29:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4244, top5_acc: 0.6798, loss_cls: 3.6719, loss: 3.6719 2023-12-28 00:11:27,923 - pyskl - INFO - Epoch [118][800/3746] lr: 1.133e-02, eta: 21:28:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4252, top5_acc: 0.6820, loss_cls: 3.6605, loss: 3.6605 2023-12-28 00:12:27,697 - pyskl - INFO - Epoch [118][900/3746] lr: 1.131e-02, eta: 21:27:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4220, top5_acc: 0.6803, loss_cls: 3.6745, loss: 3.6745 2023-12-28 00:13:26,779 - pyskl - INFO - Epoch [118][1000/3746] lr: 1.130e-02, eta: 21:26:08, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4270, top5_acc: 0.6881, loss_cls: 3.6534, loss: 3.6534 2023-12-28 00:14:26,032 - pyskl - INFO - Epoch [118][1100/3746] lr: 1.128e-02, eta: 21:25:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4186, top5_acc: 0.6769, loss_cls: 3.7104, loss: 3.7104 2023-12-28 00:15:25,407 - pyskl - INFO - Epoch [118][1200/3746] lr: 1.126e-02, eta: 21:24:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4250, top5_acc: 0.6794, loss_cls: 3.6769, loss: 3.6769 2023-12-28 00:16:24,988 - pyskl - INFO - Epoch [118][1300/3746] lr: 1.124e-02, eta: 21:22:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4269, top5_acc: 0.6833, loss_cls: 3.6689, loss: 3.6689 2023-12-28 00:17:24,501 - pyskl - INFO - Epoch [118][1400/3746] lr: 1.123e-02, eta: 21:21:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4291, top5_acc: 0.6820, loss_cls: 3.6397, loss: 3.6397 2023-12-28 00:18:24,748 - pyskl - INFO - Epoch [118][1500/3746] lr: 1.121e-02, eta: 21:20:49, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4288, top5_acc: 0.6922, loss_cls: 3.6391, loss: 3.6391 2023-12-28 00:19:25,471 - pyskl - INFO - Epoch [118][1600/3746] lr: 1.119e-02, eta: 21:19:45, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.4089, top5_acc: 0.6745, loss_cls: 3.7057, loss: 3.7057 2023-12-28 00:20:25,659 - pyskl - INFO - Epoch [118][1700/3746] lr: 1.117e-02, eta: 21:18:42, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4117, top5_acc: 0.6781, loss_cls: 3.6953, loss: 3.6953 2023-12-28 00:21:25,795 - pyskl - INFO - Epoch [118][1800/3746] lr: 1.116e-02, eta: 21:17:38, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4156, top5_acc: 0.6716, loss_cls: 3.7200, loss: 3.7200 2023-12-28 00:22:25,776 - pyskl - INFO - Epoch [118][1900/3746] lr: 1.114e-02, eta: 21:16:34, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4100, top5_acc: 0.6703, loss_cls: 3.7248, loss: 3.7248 2023-12-28 00:23:25,577 - pyskl - INFO - Epoch [118][2000/3746] lr: 1.112e-02, eta: 21:15:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4250, top5_acc: 0.6805, loss_cls: 3.6699, loss: 3.6699 2023-12-28 00:24:25,917 - pyskl - INFO - Epoch [118][2100/3746] lr: 1.110e-02, eta: 21:14:27, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4116, top5_acc: 0.6759, loss_cls: 3.7125, loss: 3.7125 2023-12-28 00:25:26,197 - pyskl - INFO - Epoch [118][2200/3746] lr: 1.109e-02, eta: 21:13:23, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4272, top5_acc: 0.6850, loss_cls: 3.6525, loss: 3.6525 2023-12-28 00:26:25,821 - pyskl - INFO - Epoch [118][2300/3746] lr: 1.107e-02, eta: 21:12:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4089, top5_acc: 0.6697, loss_cls: 3.7416, loss: 3.7416 2023-12-28 00:27:25,475 - pyskl - INFO - Epoch [118][2400/3746] lr: 1.105e-02, eta: 21:11:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4170, top5_acc: 0.6803, loss_cls: 3.6912, loss: 3.6912 2023-12-28 00:28:24,718 - pyskl - INFO - Epoch [118][2500/3746] lr: 1.103e-02, eta: 21:10:12, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4219, top5_acc: 0.6787, loss_cls: 3.6867, loss: 3.6867 2023-12-28 00:29:23,925 - pyskl - INFO - Epoch [118][2600/3746] lr: 1.102e-02, eta: 21:09:08, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4156, top5_acc: 0.6823, loss_cls: 3.7052, loss: 3.7052 2023-12-28 00:30:23,413 - pyskl - INFO - Epoch [118][2700/3746] lr: 1.100e-02, eta: 21:08:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4106, top5_acc: 0.6695, loss_cls: 3.7292, loss: 3.7292 2023-12-28 00:31:23,168 - pyskl - INFO - Epoch [118][2800/3746] lr: 1.098e-02, eta: 21:07:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4127, top5_acc: 0.6787, loss_cls: 3.7059, loss: 3.7059 2023-12-28 00:32:22,793 - pyskl - INFO - Epoch [118][2900/3746] lr: 1.096e-02, eta: 21:05:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4200, top5_acc: 0.6822, loss_cls: 3.6632, loss: 3.6632 2023-12-28 00:33:22,537 - pyskl - INFO - Epoch [118][3000/3746] lr: 1.095e-02, eta: 21:04:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4189, top5_acc: 0.6802, loss_cls: 3.6723, loss: 3.6723 2023-12-28 00:34:22,571 - pyskl - INFO - Epoch [118][3100/3746] lr: 1.093e-02, eta: 21:03:49, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4206, top5_acc: 0.6747, loss_cls: 3.7192, loss: 3.7192 2023-12-28 00:35:22,236 - pyskl - INFO - Epoch [118][3200/3746] lr: 1.091e-02, eta: 21:02:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4233, top5_acc: 0.6731, loss_cls: 3.6878, loss: 3.6878 2023-12-28 00:36:22,723 - pyskl - INFO - Epoch [118][3300/3746] lr: 1.089e-02, eta: 21:01:41, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4255, top5_acc: 0.6825, loss_cls: 3.6739, loss: 3.6739 2023-12-28 00:37:23,487 - pyskl - INFO - Epoch [118][3400/3746] lr: 1.088e-02, eta: 21:00:38, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.4211, top5_acc: 0.6716, loss_cls: 3.6798, loss: 3.6798 2023-12-28 00:38:22,716 - pyskl - INFO - Epoch [118][3500/3746] lr: 1.086e-02, eta: 20:59:34, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4144, top5_acc: 0.6720, loss_cls: 3.7135, loss: 3.7135 2023-12-28 00:39:22,521 - pyskl - INFO - Epoch [118][3600/3746] lr: 1.084e-02, eta: 20:58:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4220, top5_acc: 0.6733, loss_cls: 3.6927, loss: 3.6927 2023-12-28 00:40:22,093 - pyskl - INFO - Epoch [118][3700/3746] lr: 1.082e-02, eta: 20:57:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4125, top5_acc: 0.6748, loss_cls: 3.7068, loss: 3.7068 2023-12-28 00:40:52,261 - pyskl - INFO - Saving checkpoint at 118 epochs 2023-12-28 00:42:52,228 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 00:42:53,309 - pyskl - INFO - top1_acc 0.3618 top5_acc 0.6139 2023-12-28 00:42:53,309 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 00:42:53,352 - pyskl - INFO - mean_acc 0.3617 2023-12-28 00:42:53,359 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_117.pth was removed 2023-12-28 00:42:53,643 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. 2023-12-28 00:42:53,644 - pyskl - INFO - Best top1_acc is 0.3618 at 118 epoch. 2023-12-28 00:42:53,656 - pyskl - INFO - Epoch(val) [118][309] top1_acc: 0.3618, top5_acc: 0.6139, mean_class_accuracy: 0.3617 2023-12-28 00:46:12,449 - pyskl - INFO - Epoch [119][100/3746] lr: 1.080e-02, eta: 20:56:23, time: 1.988, data_time: 1.387, memory: 16177, top1_acc: 0.4425, top5_acc: 0.6980, loss_cls: 3.5674, loss: 3.5674 2023-12-28 00:47:12,934 - pyskl - INFO - Epoch [119][200/3746] lr: 1.078e-02, eta: 20:55:20, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4303, top5_acc: 0.6813, loss_cls: 3.6278, loss: 3.6278 2023-12-28 00:48:12,649 - pyskl - INFO - Epoch [119][300/3746] lr: 1.076e-02, eta: 20:54:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4281, top5_acc: 0.6994, loss_cls: 3.6056, loss: 3.6056 2023-12-28 00:49:12,173 - pyskl - INFO - Epoch [119][400/3746] lr: 1.075e-02, eta: 20:53:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4214, top5_acc: 0.6864, loss_cls: 3.6456, loss: 3.6456 2023-12-28 00:50:12,170 - pyskl - INFO - Epoch [119][500/3746] lr: 1.073e-02, eta: 20:52:08, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4453, top5_acc: 0.7008, loss_cls: 3.5689, loss: 3.5689 2023-12-28 00:51:11,846 - pyskl - INFO - Epoch [119][600/3746] lr: 1.071e-02, eta: 20:51:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4194, top5_acc: 0.6817, loss_cls: 3.6618, loss: 3.6618 2023-12-28 00:52:11,521 - pyskl - INFO - Epoch [119][700/3746] lr: 1.069e-02, eta: 20:50:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4313, top5_acc: 0.6837, loss_cls: 3.6548, loss: 3.6548 2023-12-28 00:53:11,151 - pyskl - INFO - Epoch [119][800/3746] lr: 1.068e-02, eta: 20:48:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4275, top5_acc: 0.6927, loss_cls: 3.6330, loss: 3.6330 2023-12-28 00:54:11,383 - pyskl - INFO - Epoch [119][900/3746] lr: 1.066e-02, eta: 20:47:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4339, top5_acc: 0.6930, loss_cls: 3.6242, loss: 3.6242 2023-12-28 00:55:12,284 - pyskl - INFO - Epoch [119][1000/3746] lr: 1.064e-02, eta: 20:46:50, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.4313, top5_acc: 0.6756, loss_cls: 3.6774, loss: 3.6774 2023-12-28 00:56:12,429 - pyskl - INFO - Epoch [119][1100/3746] lr: 1.063e-02, eta: 20:45:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4094, top5_acc: 0.6728, loss_cls: 3.6844, loss: 3.6844 2023-12-28 00:57:11,841 - pyskl - INFO - Epoch [119][1200/3746] lr: 1.061e-02, eta: 20:44:42, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4292, top5_acc: 0.6859, loss_cls: 3.6396, loss: 3.6396 2023-12-28 00:58:11,036 - pyskl - INFO - Epoch [119][1300/3746] lr: 1.059e-02, eta: 20:43:38, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4263, top5_acc: 0.6845, loss_cls: 3.6384, loss: 3.6384 2023-12-28 00:59:10,290 - pyskl - INFO - Epoch [119][1400/3746] lr: 1.057e-02, eta: 20:42:34, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4273, top5_acc: 0.6813, loss_cls: 3.6723, loss: 3.6723 2023-12-28 01:00:09,808 - pyskl - INFO - Epoch [119][1500/3746] lr: 1.056e-02, eta: 20:41:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4150, top5_acc: 0.6769, loss_cls: 3.7183, loss: 3.7183 2023-12-28 01:01:09,135 - pyskl - INFO - Epoch [119][1600/3746] lr: 1.054e-02, eta: 20:40:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4284, top5_acc: 0.6750, loss_cls: 3.6792, loss: 3.6792 2023-12-28 01:02:08,556 - pyskl - INFO - Epoch [119][1700/3746] lr: 1.052e-02, eta: 20:39:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4284, top5_acc: 0.6834, loss_cls: 3.6546, loss: 3.6546 2023-12-28 01:03:08,792 - pyskl - INFO - Epoch [119][1800/3746] lr: 1.050e-02, eta: 20:38:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4261, top5_acc: 0.6823, loss_cls: 3.6599, loss: 3.6599 2023-12-28 01:04:08,957 - pyskl - INFO - Epoch [119][1900/3746] lr: 1.049e-02, eta: 20:37:15, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4194, top5_acc: 0.6828, loss_cls: 3.6725, loss: 3.6725 2023-12-28 01:05:08,427 - pyskl - INFO - Epoch [119][2000/3746] lr: 1.047e-02, eta: 20:36:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4286, top5_acc: 0.6834, loss_cls: 3.6510, loss: 3.6510 2023-12-28 01:06:08,624 - pyskl - INFO - Epoch [119][2100/3746] lr: 1.045e-02, eta: 20:35:08, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4095, top5_acc: 0.6784, loss_cls: 3.7053, loss: 3.7053 2023-12-28 01:07:09,601 - pyskl - INFO - Epoch [119][2200/3746] lr: 1.044e-02, eta: 20:34:05, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.4192, top5_acc: 0.6853, loss_cls: 3.6835, loss: 3.6835 2023-12-28 01:08:08,985 - pyskl - INFO - Epoch [119][2300/3746] lr: 1.042e-02, eta: 20:33:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4186, top5_acc: 0.6842, loss_cls: 3.6722, loss: 3.6722 2023-12-28 01:09:08,666 - pyskl - INFO - Epoch [119][2400/3746] lr: 1.040e-02, eta: 20:31:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4330, top5_acc: 0.6892, loss_cls: 3.6293, loss: 3.6293 2023-12-28 01:10:08,633 - pyskl - INFO - Epoch [119][2500/3746] lr: 1.039e-02, eta: 20:30:53, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4292, top5_acc: 0.6873, loss_cls: 3.6703, loss: 3.6703 2023-12-28 01:11:07,957 - pyskl - INFO - Epoch [119][2600/3746] lr: 1.037e-02, eta: 20:29:49, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4275, top5_acc: 0.6816, loss_cls: 3.6484, loss: 3.6484 2023-12-28 01:12:07,305 - pyskl - INFO - Epoch [119][2700/3746] lr: 1.035e-02, eta: 20:28:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4216, top5_acc: 0.6831, loss_cls: 3.6592, loss: 3.6592 2023-12-28 01:13:06,695 - pyskl - INFO - Epoch [119][2800/3746] lr: 1.033e-02, eta: 20:27:42, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4273, top5_acc: 0.6856, loss_cls: 3.6658, loss: 3.6658 2023-12-28 01:14:06,101 - pyskl - INFO - Epoch [119][2900/3746] lr: 1.032e-02, eta: 20:26:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4198, top5_acc: 0.6767, loss_cls: 3.6903, loss: 3.6903 2023-12-28 01:15:05,549 - pyskl - INFO - Epoch [119][3000/3746] lr: 1.030e-02, eta: 20:25:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4234, top5_acc: 0.6744, loss_cls: 3.7077, loss: 3.7077 2023-12-28 01:16:04,893 - pyskl - INFO - Epoch [119][3100/3746] lr: 1.028e-02, eta: 20:24:30, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4213, top5_acc: 0.6820, loss_cls: 3.6736, loss: 3.6736 2023-12-28 01:17:04,583 - pyskl - INFO - Epoch [119][3200/3746] lr: 1.027e-02, eta: 20:23:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4219, top5_acc: 0.6786, loss_cls: 3.6815, loss: 3.6815 2023-12-28 01:18:03,922 - pyskl - INFO - Epoch [119][3300/3746] lr: 1.025e-02, eta: 20:22:22, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4167, top5_acc: 0.6756, loss_cls: 3.7120, loss: 3.7120 2023-12-28 01:19:03,114 - pyskl - INFO - Epoch [119][3400/3746] lr: 1.023e-02, eta: 20:21:19, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4270, top5_acc: 0.6759, loss_cls: 3.6746, loss: 3.6746 2023-12-28 01:20:02,476 - pyskl - INFO - Epoch [119][3500/3746] lr: 1.022e-02, eta: 20:20:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4327, top5_acc: 0.6802, loss_cls: 3.6571, loss: 3.6571 2023-12-28 01:21:02,065 - pyskl - INFO - Epoch [119][3600/3746] lr: 1.020e-02, eta: 20:19:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4131, top5_acc: 0.6792, loss_cls: 3.7115, loss: 3.7115 2023-12-28 01:22:01,918 - pyskl - INFO - Epoch [119][3700/3746] lr: 1.018e-02, eta: 20:18:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4286, top5_acc: 0.6856, loss_cls: 3.6649, loss: 3.6649 2023-12-28 01:22:32,073 - pyskl - INFO - Saving checkpoint at 119 epochs 2023-12-28 01:24:32,491 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 01:24:33,565 - pyskl - INFO - top1_acc 0.3583 top5_acc 0.6117 2023-12-28 01:24:33,565 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 01:24:33,612 - pyskl - INFO - mean_acc 0.3578 2023-12-28 01:24:33,623 - pyskl - INFO - Epoch(val) [119][309] top1_acc: 0.3583, top5_acc: 0.6117, mean_class_accuracy: 0.3578 2023-12-28 01:27:59,197 - pyskl - INFO - Epoch [120][100/3746] lr: 1.016e-02, eta: 20:17:05, time: 2.056, data_time: 1.453, memory: 16177, top1_acc: 0.4416, top5_acc: 0.7017, loss_cls: 3.5569, loss: 3.5569 2023-12-28 01:28:59,244 - pyskl - INFO - Epoch [120][200/3746] lr: 1.014e-02, eta: 20:16:01, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4367, top5_acc: 0.6941, loss_cls: 3.5899, loss: 3.5899 2023-12-28 01:29:59,069 - pyskl - INFO - Epoch [120][300/3746] lr: 1.012e-02, eta: 20:14:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4430, top5_acc: 0.6953, loss_cls: 3.5651, loss: 3.5651 2023-12-28 01:30:58,802 - pyskl - INFO - Epoch [120][400/3746] lr: 1.011e-02, eta: 20:13:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4466, top5_acc: 0.6939, loss_cls: 3.5748, loss: 3.5748 2023-12-28 01:31:58,624 - pyskl - INFO - Epoch [120][500/3746] lr: 1.009e-02, eta: 20:12:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4242, top5_acc: 0.6875, loss_cls: 3.6376, loss: 3.6376 2023-12-28 01:32:57,936 - pyskl - INFO - Epoch [120][600/3746] lr: 1.007e-02, eta: 20:11:46, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4228, top5_acc: 0.6844, loss_cls: 3.6492, loss: 3.6492 2023-12-28 01:33:57,408 - pyskl - INFO - Epoch [120][700/3746] lr: 1.006e-02, eta: 20:10:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4406, top5_acc: 0.6970, loss_cls: 3.6025, loss: 3.6025 2023-12-28 01:34:57,038 - pyskl - INFO - Epoch [120][800/3746] lr: 1.004e-02, eta: 20:09:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4338, top5_acc: 0.6934, loss_cls: 3.6176, loss: 3.6176 2023-12-28 01:35:56,806 - pyskl - INFO - Epoch [120][900/3746] lr: 1.002e-02, eta: 20:08:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4353, top5_acc: 0.6936, loss_cls: 3.6104, loss: 3.6104 2023-12-28 01:36:56,204 - pyskl - INFO - Epoch [120][1000/3746] lr: 1.001e-02, eta: 20:07:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4378, top5_acc: 0.6922, loss_cls: 3.5991, loss: 3.5991 2023-12-28 01:37:55,818 - pyskl - INFO - Epoch [120][1100/3746] lr: 9.989e-03, eta: 20:06:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4331, top5_acc: 0.6900, loss_cls: 3.6374, loss: 3.6374 2023-12-28 01:38:55,675 - pyskl - INFO - Epoch [120][1200/3746] lr: 9.972e-03, eta: 20:05:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4267, top5_acc: 0.6836, loss_cls: 3.6590, loss: 3.6590 2023-12-28 01:39:55,954 - pyskl - INFO - Epoch [120][1300/3746] lr: 9.955e-03, eta: 20:04:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4272, top5_acc: 0.6864, loss_cls: 3.6388, loss: 3.6388 2023-12-28 01:40:55,370 - pyskl - INFO - Epoch [120][1400/3746] lr: 9.938e-03, eta: 20:03:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4238, top5_acc: 0.6725, loss_cls: 3.6801, loss: 3.6801 2023-12-28 01:41:55,846 - pyskl - INFO - Epoch [120][1500/3746] lr: 9.922e-03, eta: 20:02:12, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4291, top5_acc: 0.6905, loss_cls: 3.6208, loss: 3.6208 2023-12-28 01:42:56,023 - pyskl - INFO - Epoch [120][1600/3746] lr: 9.905e-03, eta: 20:01:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4277, top5_acc: 0.6883, loss_cls: 3.6475, loss: 3.6475 2023-12-28 01:43:56,562 - pyskl - INFO - Epoch [120][1700/3746] lr: 9.888e-03, eta: 20:00:05, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4300, top5_acc: 0.6848, loss_cls: 3.6386, loss: 3.6386 2023-12-28 01:44:57,078 - pyskl - INFO - Epoch [120][1800/3746] lr: 9.871e-03, eta: 19:59:02, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4320, top5_acc: 0.6931, loss_cls: 3.6120, loss: 3.6120 2023-12-28 01:45:57,086 - pyskl - INFO - Epoch [120][1900/3746] lr: 9.855e-03, eta: 19:57:58, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4283, top5_acc: 0.6905, loss_cls: 3.6146, loss: 3.6146 2023-12-28 01:46:56,739 - pyskl - INFO - Epoch [120][2000/3746] lr: 9.838e-03, eta: 19:56:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4230, top5_acc: 0.6822, loss_cls: 3.6678, loss: 3.6678 2023-12-28 01:47:56,920 - pyskl - INFO - Epoch [120][2100/3746] lr: 9.821e-03, eta: 19:55:51, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4272, top5_acc: 0.6784, loss_cls: 3.6838, loss: 3.6838 2023-12-28 01:48:57,350 - pyskl - INFO - Epoch [120][2200/3746] lr: 9.805e-03, eta: 19:54:47, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4339, top5_acc: 0.6916, loss_cls: 3.6142, loss: 3.6142 2023-12-28 01:49:56,875 - pyskl - INFO - Epoch [120][2300/3746] lr: 9.788e-03, eta: 19:53:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4217, top5_acc: 0.6811, loss_cls: 3.6666, loss: 3.6666 2023-12-28 01:50:56,524 - pyskl - INFO - Epoch [120][2400/3746] lr: 9.772e-03, eta: 19:52:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4211, top5_acc: 0.6766, loss_cls: 3.6667, loss: 3.6667 2023-12-28 01:51:56,201 - pyskl - INFO - Epoch [120][2500/3746] lr: 9.755e-03, eta: 19:51:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4241, top5_acc: 0.6759, loss_cls: 3.6719, loss: 3.6719 2023-12-28 01:52:55,508 - pyskl - INFO - Epoch [120][2600/3746] lr: 9.738e-03, eta: 19:50:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4189, top5_acc: 0.6742, loss_cls: 3.6664, loss: 3.6664 2023-12-28 01:53:54,677 - pyskl - INFO - Epoch [120][2700/3746] lr: 9.722e-03, eta: 19:49:28, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4244, top5_acc: 0.6847, loss_cls: 3.6556, loss: 3.6556 2023-12-28 01:54:54,103 - pyskl - INFO - Epoch [120][2800/3746] lr: 9.705e-03, eta: 19:48:24, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4259, top5_acc: 0.6806, loss_cls: 3.6558, loss: 3.6558 2023-12-28 01:55:53,426 - pyskl - INFO - Epoch [120][2900/3746] lr: 9.689e-03, eta: 19:47:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4267, top5_acc: 0.6831, loss_cls: 3.6622, loss: 3.6622 2023-12-28 01:56:52,488 - pyskl - INFO - Epoch [120][3000/3746] lr: 9.672e-03, eta: 19:46:17, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4277, top5_acc: 0.6825, loss_cls: 3.6811, loss: 3.6811 2023-12-28 01:57:52,133 - pyskl - INFO - Epoch [120][3100/3746] lr: 9.656e-03, eta: 19:45:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4325, top5_acc: 0.6866, loss_cls: 3.6223, loss: 3.6223 2023-12-28 01:58:51,355 - pyskl - INFO - Epoch [120][3200/3746] lr: 9.639e-03, eta: 19:44:09, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4288, top5_acc: 0.6881, loss_cls: 3.6390, loss: 3.6390 2023-12-28 01:59:50,554 - pyskl - INFO - Epoch [120][3300/3746] lr: 9.623e-03, eta: 19:43:05, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4313, top5_acc: 0.6861, loss_cls: 3.6234, loss: 3.6234 2023-12-28 02:00:49,998 - pyskl - INFO - Epoch [120][3400/3746] lr: 9.606e-03, eta: 19:42:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4283, top5_acc: 0.6833, loss_cls: 3.6581, loss: 3.6581 2023-12-28 02:01:49,346 - pyskl - INFO - Epoch [120][3500/3746] lr: 9.590e-03, eta: 19:40:57, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4206, top5_acc: 0.6781, loss_cls: 3.6658, loss: 3.6658 2023-12-28 02:02:48,775 - pyskl - INFO - Epoch [120][3600/3746] lr: 9.573e-03, eta: 19:39:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4220, top5_acc: 0.6809, loss_cls: 3.6735, loss: 3.6735 2023-12-28 02:03:48,906 - pyskl - INFO - Epoch [120][3700/3746] lr: 9.557e-03, eta: 19:38:50, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4139, top5_acc: 0.6684, loss_cls: 3.7482, loss: 3.7482 2023-12-28 02:04:19,358 - pyskl - INFO - Saving checkpoint at 120 epochs 2023-12-28 02:06:20,359 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 02:06:21,412 - pyskl - INFO - top1_acc 0.3581 top5_acc 0.6247 2023-12-28 02:06:21,412 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 02:06:21,454 - pyskl - INFO - mean_acc 0.3579 2023-12-28 02:06:21,463 - pyskl - INFO - Epoch(val) [120][309] top1_acc: 0.3581, top5_acc: 0.6247, mean_class_accuracy: 0.3579 2023-12-28 02:09:48,221 - pyskl - INFO - Epoch [121][100/3746] lr: 9.533e-03, eta: 19:37:47, time: 2.067, data_time: 1.462, memory: 16177, top1_acc: 0.4537, top5_acc: 0.7044, loss_cls: 3.5266, loss: 3.5266 2023-12-28 02:10:48,061 - pyskl - INFO - Epoch [121][200/3746] lr: 9.516e-03, eta: 19:36:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4437, top5_acc: 0.7030, loss_cls: 3.5636, loss: 3.5636 2023-12-28 02:11:47,648 - pyskl - INFO - Epoch [121][300/3746] lr: 9.500e-03, eta: 19:35:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4481, top5_acc: 0.7080, loss_cls: 3.5302, loss: 3.5302 2023-12-28 02:12:47,345 - pyskl - INFO - Epoch [121][400/3746] lr: 9.484e-03, eta: 19:34:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4455, top5_acc: 0.7039, loss_cls: 3.5303, loss: 3.5303 2023-12-28 02:13:47,067 - pyskl - INFO - Epoch [121][500/3746] lr: 9.467e-03, eta: 19:33:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4386, top5_acc: 0.6914, loss_cls: 3.5853, loss: 3.5853 2023-12-28 02:14:46,311 - pyskl - INFO - Epoch [121][600/3746] lr: 9.451e-03, eta: 19:32:28, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4398, top5_acc: 0.6906, loss_cls: 3.6113, loss: 3.6113 2023-12-28 02:15:45,831 - pyskl - INFO - Epoch [121][700/3746] lr: 9.435e-03, eta: 19:31:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4278, top5_acc: 0.6864, loss_cls: 3.6414, loss: 3.6414 2023-12-28 02:16:45,138 - pyskl - INFO - Epoch [121][800/3746] lr: 9.418e-03, eta: 19:30:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4437, top5_acc: 0.7009, loss_cls: 3.5616, loss: 3.5616 2023-12-28 02:17:44,527 - pyskl - INFO - Epoch [121][900/3746] lr: 9.402e-03, eta: 19:29:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4331, top5_acc: 0.7011, loss_cls: 3.5630, loss: 3.5630 2023-12-28 02:18:43,796 - pyskl - INFO - Epoch [121][1000/3746] lr: 9.386e-03, eta: 19:28:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4252, top5_acc: 0.6864, loss_cls: 3.6083, loss: 3.6083 2023-12-28 02:19:43,486 - pyskl - INFO - Epoch [121][1100/3746] lr: 9.369e-03, eta: 19:27:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4412, top5_acc: 0.6994, loss_cls: 3.5693, loss: 3.5693 2023-12-28 02:20:42,894 - pyskl - INFO - Epoch [121][1200/3746] lr: 9.353e-03, eta: 19:26:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4325, top5_acc: 0.6886, loss_cls: 3.6131, loss: 3.6131 2023-12-28 02:21:42,460 - pyskl - INFO - Epoch [121][1300/3746] lr: 9.337e-03, eta: 19:25:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4186, top5_acc: 0.6820, loss_cls: 3.6588, loss: 3.6588 2023-12-28 02:22:41,826 - pyskl - INFO - Epoch [121][1400/3746] lr: 9.321e-03, eta: 19:23:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4350, top5_acc: 0.6859, loss_cls: 3.6075, loss: 3.6075 2023-12-28 02:23:41,246 - pyskl - INFO - Epoch [121][1500/3746] lr: 9.304e-03, eta: 19:22:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4427, top5_acc: 0.6983, loss_cls: 3.5799, loss: 3.5799 2023-12-28 02:24:40,451 - pyskl - INFO - Epoch [121][1600/3746] lr: 9.288e-03, eta: 19:21:50, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4309, top5_acc: 0.6847, loss_cls: 3.6317, loss: 3.6317 2023-12-28 02:25:40,276 - pyskl - INFO - Epoch [121][1700/3746] lr: 9.272e-03, eta: 19:20:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4317, top5_acc: 0.6867, loss_cls: 3.6296, loss: 3.6296 2023-12-28 02:26:39,969 - pyskl - INFO - Epoch [121][1800/3746] lr: 9.256e-03, eta: 19:19:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4184, top5_acc: 0.6805, loss_cls: 3.6600, loss: 3.6600 2023-12-28 02:27:40,234 - pyskl - INFO - Epoch [121][1900/3746] lr: 9.239e-03, eta: 19:18:39, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4328, top5_acc: 0.6883, loss_cls: 3.6271, loss: 3.6271 2023-12-28 02:28:40,072 - pyskl - INFO - Epoch [121][2000/3746] lr: 9.223e-03, eta: 19:17:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4295, top5_acc: 0.6853, loss_cls: 3.6419, loss: 3.6419 2023-12-28 02:29:40,372 - pyskl - INFO - Epoch [121][2100/3746] lr: 9.207e-03, eta: 19:16:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4355, top5_acc: 0.6922, loss_cls: 3.6270, loss: 3.6270 2023-12-28 02:30:41,151 - pyskl - INFO - Epoch [121][2200/3746] lr: 9.191e-03, eta: 19:15:28, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.4347, top5_acc: 0.6870, loss_cls: 3.6436, loss: 3.6436 2023-12-28 02:31:40,987 - pyskl - INFO - Epoch [121][2300/3746] lr: 9.175e-03, eta: 19:14:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4211, top5_acc: 0.6864, loss_cls: 3.6428, loss: 3.6428 2023-12-28 02:32:40,534 - pyskl - INFO - Epoch [121][2400/3746] lr: 9.159e-03, eta: 19:13:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4283, top5_acc: 0.6816, loss_cls: 3.6530, loss: 3.6530 2023-12-28 02:33:40,172 - pyskl - INFO - Epoch [121][2500/3746] lr: 9.142e-03, eta: 19:12:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4323, top5_acc: 0.6894, loss_cls: 3.6363, loss: 3.6363 2023-12-28 02:34:39,812 - pyskl - INFO - Epoch [121][2600/3746] lr: 9.126e-03, eta: 19:11:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4259, top5_acc: 0.6864, loss_cls: 3.6695, loss: 3.6695 2023-12-28 02:35:39,281 - pyskl - INFO - Epoch [121][2700/3746] lr: 9.110e-03, eta: 19:10:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4412, top5_acc: 0.6908, loss_cls: 3.6223, loss: 3.6223 2023-12-28 02:36:38,743 - pyskl - INFO - Epoch [121][2800/3746] lr: 9.094e-03, eta: 19:09:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4322, top5_acc: 0.6842, loss_cls: 3.6398, loss: 3.6398 2023-12-28 02:37:38,406 - pyskl - INFO - Epoch [121][2900/3746] lr: 9.078e-03, eta: 19:08:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4361, top5_acc: 0.6922, loss_cls: 3.6110, loss: 3.6110 2023-12-28 02:38:38,225 - pyskl - INFO - Epoch [121][3000/3746] lr: 9.062e-03, eta: 19:06:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4373, top5_acc: 0.6870, loss_cls: 3.6006, loss: 3.6006 2023-12-28 02:39:37,785 - pyskl - INFO - Epoch [121][3100/3746] lr: 9.046e-03, eta: 19:05:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4325, top5_acc: 0.6847, loss_cls: 3.6446, loss: 3.6446 2023-12-28 02:40:38,014 - pyskl - INFO - Epoch [121][3200/3746] lr: 9.030e-03, eta: 19:04:51, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4341, top5_acc: 0.6845, loss_cls: 3.6574, loss: 3.6574 2023-12-28 02:41:38,491 - pyskl - INFO - Epoch [121][3300/3746] lr: 9.014e-03, eta: 19:03:48, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4180, top5_acc: 0.6878, loss_cls: 3.6762, loss: 3.6762 2023-12-28 02:42:38,026 - pyskl - INFO - Epoch [121][3400/3746] lr: 8.998e-03, eta: 19:02:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4375, top5_acc: 0.6944, loss_cls: 3.5960, loss: 3.5960 2023-12-28 02:43:37,926 - pyskl - INFO - Epoch [121][3500/3746] lr: 8.982e-03, eta: 19:01:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4275, top5_acc: 0.6863, loss_cls: 3.6588, loss: 3.6588 2023-12-28 02:44:38,242 - pyskl - INFO - Epoch [121][3600/3746] lr: 8.966e-03, eta: 19:00:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4288, top5_acc: 0.6814, loss_cls: 3.6526, loss: 3.6526 2023-12-28 02:45:37,923 - pyskl - INFO - Epoch [121][3700/3746] lr: 8.950e-03, eta: 18:59:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4292, top5_acc: 0.6919, loss_cls: 3.6234, loss: 3.6234 2023-12-28 02:46:08,062 - pyskl - INFO - Saving checkpoint at 121 epochs 2023-12-28 02:48:09,048 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 02:48:09,938 - pyskl - INFO - top1_acc 0.3660 top5_acc 0.6197 2023-12-28 02:48:09,939 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 02:48:09,979 - pyskl - INFO - mean_acc 0.3657 2023-12-28 02:48:09,985 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_118.pth was removed 2023-12-28 02:48:10,345 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. 2023-12-28 02:48:10,346 - pyskl - INFO - Best top1_acc is 0.3660 at 121 epoch. 2023-12-28 02:48:10,360 - pyskl - INFO - Epoch(val) [121][309] top1_acc: 0.3660, top5_acc: 0.6197, mean_class_accuracy: 0.3657 2023-12-28 02:51:34,564 - pyskl - INFO - Epoch [122][100/3746] lr: 8.927e-03, eta: 18:58:28, time: 2.042, data_time: 1.435, memory: 16177, top1_acc: 0.4530, top5_acc: 0.7034, loss_cls: 3.5413, loss: 3.5413 2023-12-28 02:52:34,610 - pyskl - INFO - Epoch [122][200/3746] lr: 8.911e-03, eta: 18:57:25, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4359, top5_acc: 0.6986, loss_cls: 3.5768, loss: 3.5768 2023-12-28 02:53:33,924 - pyskl - INFO - Epoch [122][300/3746] lr: 8.895e-03, eta: 18:56:21, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4448, top5_acc: 0.6980, loss_cls: 3.5517, loss: 3.5517 2023-12-28 02:54:33,554 - pyskl - INFO - Epoch [122][400/3746] lr: 8.879e-03, eta: 18:55:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4428, top5_acc: 0.6981, loss_cls: 3.5768, loss: 3.5768 2023-12-28 02:55:32,781 - pyskl - INFO - Epoch [122][500/3746] lr: 8.863e-03, eta: 18:54:13, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4414, top5_acc: 0.6942, loss_cls: 3.5835, loss: 3.5835 2023-12-28 02:56:32,180 - pyskl - INFO - Epoch [122][600/3746] lr: 8.847e-03, eta: 18:53:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4313, top5_acc: 0.7011, loss_cls: 3.5684, loss: 3.5684 2023-12-28 02:57:32,633 - pyskl - INFO - Epoch [122][700/3746] lr: 8.831e-03, eta: 18:52:06, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4347, top5_acc: 0.7008, loss_cls: 3.5904, loss: 3.5904 2023-12-28 02:58:32,315 - pyskl - INFO - Epoch [122][800/3746] lr: 8.815e-03, eta: 18:51:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4498, top5_acc: 0.7036, loss_cls: 3.5133, loss: 3.5133 2023-12-28 02:59:32,506 - pyskl - INFO - Epoch [122][900/3746] lr: 8.800e-03, eta: 18:49:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4316, top5_acc: 0.6934, loss_cls: 3.5964, loss: 3.5964 2023-12-28 03:00:32,184 - pyskl - INFO - Epoch [122][1000/3746] lr: 8.784e-03, eta: 18:48:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4423, top5_acc: 0.6939, loss_cls: 3.6009, loss: 3.6009 2023-12-28 03:01:32,031 - pyskl - INFO - Epoch [122][1100/3746] lr: 8.768e-03, eta: 18:47:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4452, top5_acc: 0.6992, loss_cls: 3.5898, loss: 3.5898 2023-12-28 03:02:31,431 - pyskl - INFO - Epoch [122][1200/3746] lr: 8.752e-03, eta: 18:46:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4425, top5_acc: 0.6995, loss_cls: 3.5752, loss: 3.5752 2023-12-28 03:03:30,924 - pyskl - INFO - Epoch [122][1300/3746] lr: 8.736e-03, eta: 18:45:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4556, top5_acc: 0.7070, loss_cls: 3.5272, loss: 3.5272 2023-12-28 03:04:30,656 - pyskl - INFO - Epoch [122][1400/3746] lr: 8.721e-03, eta: 18:44:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4405, top5_acc: 0.6927, loss_cls: 3.5949, loss: 3.5949 2023-12-28 03:05:30,759 - pyskl - INFO - Epoch [122][1500/3746] lr: 8.705e-03, eta: 18:43:37, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4394, top5_acc: 0.6908, loss_cls: 3.5921, loss: 3.5921 2023-12-28 03:06:29,931 - pyskl - INFO - Epoch [122][1600/3746] lr: 8.689e-03, eta: 18:42:33, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4391, top5_acc: 0.6998, loss_cls: 3.5715, loss: 3.5715 2023-12-28 03:07:29,310 - pyskl - INFO - Epoch [122][1700/3746] lr: 8.673e-03, eta: 18:41:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4339, top5_acc: 0.6955, loss_cls: 3.5943, loss: 3.5943 2023-12-28 03:08:29,187 - pyskl - INFO - Epoch [122][1800/3746] lr: 8.658e-03, eta: 18:40:25, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4445, top5_acc: 0.6963, loss_cls: 3.5707, loss: 3.5707 2023-12-28 03:09:29,422 - pyskl - INFO - Epoch [122][1900/3746] lr: 8.642e-03, eta: 18:39:22, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4314, top5_acc: 0.6806, loss_cls: 3.6364, loss: 3.6364 2023-12-28 03:10:28,789 - pyskl - INFO - Epoch [122][2000/3746] lr: 8.626e-03, eta: 18:38:18, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4422, top5_acc: 0.6922, loss_cls: 3.5885, loss: 3.5885 2023-12-28 03:11:28,395 - pyskl - INFO - Epoch [122][2100/3746] lr: 8.610e-03, eta: 18:37:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4366, top5_acc: 0.6944, loss_cls: 3.5775, loss: 3.5775 2023-12-28 03:12:28,724 - pyskl - INFO - Epoch [122][2200/3746] lr: 8.595e-03, eta: 18:36:11, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4281, top5_acc: 0.6848, loss_cls: 3.6304, loss: 3.6304 2023-12-28 03:13:28,820 - pyskl - INFO - Epoch [122][2300/3746] lr: 8.579e-03, eta: 18:35:07, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4397, top5_acc: 0.6895, loss_cls: 3.6051, loss: 3.6051 2023-12-28 03:14:28,514 - pyskl - INFO - Epoch [122][2400/3746] lr: 8.563e-03, eta: 18:34:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4484, top5_acc: 0.7009, loss_cls: 3.5705, loss: 3.5705 2023-12-28 03:15:27,878 - pyskl - INFO - Epoch [122][2500/3746] lr: 8.548e-03, eta: 18:33:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4336, top5_acc: 0.7013, loss_cls: 3.5745, loss: 3.5745 2023-12-28 03:16:27,229 - pyskl - INFO - Epoch [122][2600/3746] lr: 8.532e-03, eta: 18:31:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4266, top5_acc: 0.6884, loss_cls: 3.6309, loss: 3.6309 2023-12-28 03:17:26,498 - pyskl - INFO - Epoch [122][2700/3746] lr: 8.517e-03, eta: 18:30:52, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4416, top5_acc: 0.6898, loss_cls: 3.5843, loss: 3.5843 2023-12-28 03:18:25,855 - pyskl - INFO - Epoch [122][2800/3746] lr: 8.501e-03, eta: 18:29:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4331, top5_acc: 0.7020, loss_cls: 3.5816, loss: 3.5816 2023-12-28 03:19:25,210 - pyskl - INFO - Epoch [122][2900/3746] lr: 8.485e-03, eta: 18:28:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4270, top5_acc: 0.6905, loss_cls: 3.6324, loss: 3.6324 2023-12-28 03:20:24,640 - pyskl - INFO - Epoch [122][3000/3746] lr: 8.470e-03, eta: 18:27:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4220, top5_acc: 0.6844, loss_cls: 3.6536, loss: 3.6536 2023-12-28 03:21:24,024 - pyskl - INFO - Epoch [122][3100/3746] lr: 8.454e-03, eta: 18:26:37, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4339, top5_acc: 0.6913, loss_cls: 3.6134, loss: 3.6134 2023-12-28 03:22:23,254 - pyskl - INFO - Epoch [122][3200/3746] lr: 8.439e-03, eta: 18:25:34, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4330, top5_acc: 0.6955, loss_cls: 3.6294, loss: 3.6294 2023-12-28 03:23:22,577 - pyskl - INFO - Epoch [122][3300/3746] lr: 8.423e-03, eta: 18:24:30, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4217, top5_acc: 0.6861, loss_cls: 3.6409, loss: 3.6409 2023-12-28 03:24:21,988 - pyskl - INFO - Epoch [122][3400/3746] lr: 8.408e-03, eta: 18:23:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4409, top5_acc: 0.6981, loss_cls: 3.5646, loss: 3.5646 2023-12-28 03:25:21,384 - pyskl - INFO - Epoch [122][3500/3746] lr: 8.392e-03, eta: 18:22:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4269, top5_acc: 0.6923, loss_cls: 3.6421, loss: 3.6421 2023-12-28 03:26:20,815 - pyskl - INFO - Epoch [122][3600/3746] lr: 8.377e-03, eta: 18:21:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4333, top5_acc: 0.6984, loss_cls: 3.5869, loss: 3.5869 2023-12-28 03:27:20,938 - pyskl - INFO - Epoch [122][3700/3746] lr: 8.361e-03, eta: 18:20:15, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4380, top5_acc: 0.6930, loss_cls: 3.5900, loss: 3.5900 2023-12-28 03:27:51,885 - pyskl - INFO - Saving checkpoint at 122 epochs 2023-12-28 03:29:53,771 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 03:29:54,642 - pyskl - INFO - top1_acc 0.3718 top5_acc 0.6273 2023-12-28 03:29:54,643 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 03:29:54,695 - pyskl - INFO - mean_acc 0.3715 2023-12-28 03:29:54,700 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_121.pth was removed 2023-12-28 03:29:55,004 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. 2023-12-28 03:29:55,004 - pyskl - INFO - Best top1_acc is 0.3718 at 122 epoch. 2023-12-28 03:29:55,015 - pyskl - INFO - Epoch(val) [122][309] top1_acc: 0.3718, top5_acc: 0.6273, mean_class_accuracy: 0.3715 2023-12-28 03:33:26,976 - pyskl - INFO - Epoch [123][100/3746] lr: 8.339e-03, eta: 18:19:11, time: 2.120, data_time: 1.516, memory: 16177, top1_acc: 0.4669, top5_acc: 0.7197, loss_cls: 3.4544, loss: 3.4544 2023-12-28 03:34:26,499 - pyskl - INFO - Epoch [123][200/3746] lr: 8.323e-03, eta: 18:18:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4564, top5_acc: 0.7164, loss_cls: 3.4926, loss: 3.4926 2023-12-28 03:35:26,366 - pyskl - INFO - Epoch [123][300/3746] lr: 8.308e-03, eta: 18:17:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4606, top5_acc: 0.7209, loss_cls: 3.4813, loss: 3.4813 2023-12-28 03:36:25,842 - pyskl - INFO - Epoch [123][400/3746] lr: 8.292e-03, eta: 18:16:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4516, top5_acc: 0.7070, loss_cls: 3.5257, loss: 3.5257 2023-12-28 03:37:25,559 - pyskl - INFO - Epoch [123][500/3746] lr: 8.277e-03, eta: 18:14:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4455, top5_acc: 0.7064, loss_cls: 3.5516, loss: 3.5516 2023-12-28 03:38:25,390 - pyskl - INFO - Epoch [123][600/3746] lr: 8.262e-03, eta: 18:13:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4442, top5_acc: 0.7063, loss_cls: 3.5303, loss: 3.5303 2023-12-28 03:39:24,779 - pyskl - INFO - Epoch [123][700/3746] lr: 8.246e-03, eta: 18:12:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4409, top5_acc: 0.6948, loss_cls: 3.5924, loss: 3.5924 2023-12-28 03:40:25,332 - pyskl - INFO - Epoch [123][800/3746] lr: 8.231e-03, eta: 18:11:45, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4458, top5_acc: 0.7013, loss_cls: 3.5495, loss: 3.5495 2023-12-28 03:41:24,909 - pyskl - INFO - Epoch [123][900/3746] lr: 8.215e-03, eta: 18:10:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4492, top5_acc: 0.7050, loss_cls: 3.5421, loss: 3.5421 2023-12-28 03:42:24,198 - pyskl - INFO - Epoch [123][1000/3746] lr: 8.200e-03, eta: 18:09:38, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4380, top5_acc: 0.7005, loss_cls: 3.5835, loss: 3.5835 2023-12-28 03:43:23,535 - pyskl - INFO - Epoch [123][1100/3746] lr: 8.185e-03, eta: 18:08:34, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4398, top5_acc: 0.7009, loss_cls: 3.5609, loss: 3.5609 2023-12-28 03:44:23,018 - pyskl - INFO - Epoch [123][1200/3746] lr: 8.169e-03, eta: 18:07:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4400, top5_acc: 0.6941, loss_cls: 3.5776, loss: 3.5776 2023-12-28 03:45:23,058 - pyskl - INFO - Epoch [123][1300/3746] lr: 8.154e-03, eta: 18:06:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4386, top5_acc: 0.6978, loss_cls: 3.5896, loss: 3.5896 2023-12-28 03:46:22,666 - pyskl - INFO - Epoch [123][1400/3746] lr: 8.139e-03, eta: 18:05:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4492, top5_acc: 0.7006, loss_cls: 3.5486, loss: 3.5486 2023-12-28 03:47:22,161 - pyskl - INFO - Epoch [123][1500/3746] lr: 8.124e-03, eta: 18:04:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4569, top5_acc: 0.7064, loss_cls: 3.5193, loss: 3.5193 2023-12-28 03:48:21,602 - pyskl - INFO - Epoch [123][1600/3746] lr: 8.108e-03, eta: 18:03:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4334, top5_acc: 0.6986, loss_cls: 3.5865, loss: 3.5865 2023-12-28 03:49:21,827 - pyskl - INFO - Epoch [123][1700/3746] lr: 8.093e-03, eta: 18:02:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4333, top5_acc: 0.6831, loss_cls: 3.6296, loss: 3.6296 2023-12-28 03:50:22,215 - pyskl - INFO - Epoch [123][1800/3746] lr: 8.078e-03, eta: 18:01:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4472, top5_acc: 0.7069, loss_cls: 3.5408, loss: 3.5408 2023-12-28 03:51:22,456 - pyskl - INFO - Epoch [123][1900/3746] lr: 8.063e-03, eta: 18:00:05, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4444, top5_acc: 0.6942, loss_cls: 3.5671, loss: 3.5671 2023-12-28 03:52:21,921 - pyskl - INFO - Epoch [123][2000/3746] lr: 8.047e-03, eta: 17:59:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4486, top5_acc: 0.7002, loss_cls: 3.5576, loss: 3.5576 2023-12-28 03:53:21,498 - pyskl - INFO - Epoch [123][2100/3746] lr: 8.032e-03, eta: 17:57:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4455, top5_acc: 0.7037, loss_cls: 3.5526, loss: 3.5526 2023-12-28 03:54:21,550 - pyskl - INFO - Epoch [123][2200/3746] lr: 8.017e-03, eta: 17:56:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4448, top5_acc: 0.6920, loss_cls: 3.5888, loss: 3.5888 2023-12-28 03:55:21,342 - pyskl - INFO - Epoch [123][2300/3746] lr: 8.002e-03, eta: 17:55:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4319, top5_acc: 0.6933, loss_cls: 3.6257, loss: 3.6257 2023-12-28 03:56:20,540 - pyskl - INFO - Epoch [123][2400/3746] lr: 7.987e-03, eta: 17:54:47, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4345, top5_acc: 0.6961, loss_cls: 3.5974, loss: 3.5974 2023-12-28 03:57:20,015 - pyskl - INFO - Epoch [123][2500/3746] lr: 7.971e-03, eta: 17:53:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4389, top5_acc: 0.6833, loss_cls: 3.6152, loss: 3.6152 2023-12-28 03:58:19,194 - pyskl - INFO - Epoch [123][2600/3746] lr: 7.956e-03, eta: 17:52:39, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4313, top5_acc: 0.6831, loss_cls: 3.6356, loss: 3.6356 2023-12-28 03:59:18,236 - pyskl - INFO - Epoch [123][2700/3746] lr: 7.941e-03, eta: 17:51:36, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4459, top5_acc: 0.7000, loss_cls: 3.5874, loss: 3.5874 2023-12-28 04:00:17,441 - pyskl - INFO - Epoch [123][2800/3746] lr: 7.926e-03, eta: 17:50:32, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4391, top5_acc: 0.6908, loss_cls: 3.5912, loss: 3.5912 2023-12-28 04:01:16,803 - pyskl - INFO - Epoch [123][2900/3746] lr: 7.911e-03, eta: 17:49:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4472, top5_acc: 0.6980, loss_cls: 3.5802, loss: 3.5802 2023-12-28 04:02:16,212 - pyskl - INFO - Epoch [123][3000/3746] lr: 7.896e-03, eta: 17:48:24, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4320, top5_acc: 0.7009, loss_cls: 3.5922, loss: 3.5922 2023-12-28 04:03:15,605 - pyskl - INFO - Epoch [123][3100/3746] lr: 7.881e-03, eta: 17:47:21, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4400, top5_acc: 0.6975, loss_cls: 3.5793, loss: 3.5793 2023-12-28 04:04:14,869 - pyskl - INFO - Epoch [123][3200/3746] lr: 7.866e-03, eta: 17:46:17, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4330, top5_acc: 0.6883, loss_cls: 3.6115, loss: 3.6115 2023-12-28 04:05:14,462 - pyskl - INFO - Epoch [123][3300/3746] lr: 7.851e-03, eta: 17:45:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4378, top5_acc: 0.6992, loss_cls: 3.5889, loss: 3.5889 2023-12-28 04:06:13,803 - pyskl - INFO - Epoch [123][3400/3746] lr: 7.836e-03, eta: 17:44:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4444, top5_acc: 0.7037, loss_cls: 3.5570, loss: 3.5570 2023-12-28 04:07:13,356 - pyskl - INFO - Epoch [123][3500/3746] lr: 7.821e-03, eta: 17:43:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4428, top5_acc: 0.6916, loss_cls: 3.5786, loss: 3.5786 2023-12-28 04:08:12,899 - pyskl - INFO - Epoch [123][3600/3746] lr: 7.806e-03, eta: 17:42:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4442, top5_acc: 0.6931, loss_cls: 3.5877, loss: 3.5877 2023-12-28 04:09:12,294 - pyskl - INFO - Epoch [123][3700/3746] lr: 7.791e-03, eta: 17:40:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4436, top5_acc: 0.7036, loss_cls: 3.5726, loss: 3.5726 2023-12-28 04:09:42,752 - pyskl - INFO - Saving checkpoint at 123 epochs 2023-12-28 04:11:41,175 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 04:11:42,000 - pyskl - INFO - top1_acc 0.3769 top5_acc 0.6278 2023-12-28 04:11:42,001 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 04:11:42,035 - pyskl - INFO - mean_acc 0.3766 2023-12-28 04:11:42,041 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_122.pth was removed 2023-12-28 04:11:42,293 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. 2023-12-28 04:11:42,294 - pyskl - INFO - Best top1_acc is 0.3769 at 123 epoch. 2023-12-28 04:11:42,304 - pyskl - INFO - Epoch(val) [123][309] top1_acc: 0.3769, top5_acc: 0.6278, mean_class_accuracy: 0.3766 2023-12-28 04:15:08,948 - pyskl - INFO - Epoch [124][100/3746] lr: 7.769e-03, eta: 17:39:52, time: 2.066, data_time: 1.461, memory: 16177, top1_acc: 0.4531, top5_acc: 0.7084, loss_cls: 3.5250, loss: 3.5250 2023-12-28 04:16:09,506 - pyskl - INFO - Epoch [124][200/3746] lr: 7.754e-03, eta: 17:38:48, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4595, top5_acc: 0.7159, loss_cls: 3.4828, loss: 3.4828 2023-12-28 04:17:09,189 - pyskl - INFO - Epoch [124][300/3746] lr: 7.739e-03, eta: 17:37:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4494, top5_acc: 0.7095, loss_cls: 3.5162, loss: 3.5162 2023-12-28 04:18:08,958 - pyskl - INFO - Epoch [124][400/3746] lr: 7.724e-03, eta: 17:36:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4633, top5_acc: 0.7164, loss_cls: 3.4776, loss: 3.4776 2023-12-28 04:19:08,399 - pyskl - INFO - Epoch [124][500/3746] lr: 7.709e-03, eta: 17:35:37, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4509, top5_acc: 0.7013, loss_cls: 3.5301, loss: 3.5301 2023-12-28 04:20:07,532 - pyskl - INFO - Epoch [124][600/3746] lr: 7.694e-03, eta: 17:34:34, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4486, top5_acc: 0.7083, loss_cls: 3.5311, loss: 3.5311 2023-12-28 04:21:06,830 - pyskl - INFO - Epoch [124][700/3746] lr: 7.679e-03, eta: 17:33:30, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4462, top5_acc: 0.7048, loss_cls: 3.5307, loss: 3.5307 2023-12-28 04:22:06,251 - pyskl - INFO - Epoch [124][800/3746] lr: 7.664e-03, eta: 17:32:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4520, top5_acc: 0.7095, loss_cls: 3.5302, loss: 3.5302 2023-12-28 04:23:05,551 - pyskl - INFO - Epoch [124][900/3746] lr: 7.649e-03, eta: 17:31:23, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4520, top5_acc: 0.7092, loss_cls: 3.5437, loss: 3.5437 2023-12-28 04:24:06,050 - pyskl - INFO - Epoch [124][1000/3746] lr: 7.635e-03, eta: 17:30:19, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4541, top5_acc: 0.7136, loss_cls: 3.5057, loss: 3.5057 2023-12-28 04:25:05,955 - pyskl - INFO - Epoch [124][1100/3746] lr: 7.620e-03, eta: 17:29:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4428, top5_acc: 0.7109, loss_cls: 3.5403, loss: 3.5403 2023-12-28 04:26:05,874 - pyskl - INFO - Epoch [124][1200/3746] lr: 7.605e-03, eta: 17:28:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4581, top5_acc: 0.7036, loss_cls: 3.5329, loss: 3.5329 2023-12-28 04:27:05,823 - pyskl - INFO - Epoch [124][1300/3746] lr: 7.590e-03, eta: 17:27:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4530, top5_acc: 0.7078, loss_cls: 3.5474, loss: 3.5474 2023-12-28 04:28:06,040 - pyskl - INFO - Epoch [124][1400/3746] lr: 7.575e-03, eta: 17:26:05, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4411, top5_acc: 0.7045, loss_cls: 3.5333, loss: 3.5333 2023-12-28 04:29:05,911 - pyskl - INFO - Epoch [124][1500/3746] lr: 7.561e-03, eta: 17:25:01, time: 0.599, data_time: 0.001, memory: 16177, top1_acc: 0.4506, top5_acc: 0.7102, loss_cls: 3.5194, loss: 3.5194 2023-12-28 04:30:05,565 - pyskl - INFO - Epoch [124][1600/3746] lr: 7.546e-03, eta: 17:23:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4486, top5_acc: 0.7075, loss_cls: 3.5491, loss: 3.5491 2023-12-28 04:31:05,083 - pyskl - INFO - Epoch [124][1700/3746] lr: 7.531e-03, eta: 17:22:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4569, top5_acc: 0.7013, loss_cls: 3.5320, loss: 3.5320 2023-12-28 04:32:05,152 - pyskl - INFO - Epoch [124][1800/3746] lr: 7.516e-03, eta: 17:21:50, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4314, top5_acc: 0.6900, loss_cls: 3.6180, loss: 3.6180 2023-12-28 04:33:05,494 - pyskl - INFO - Epoch [124][1900/3746] lr: 7.502e-03, eta: 17:20:47, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4520, top5_acc: 0.7108, loss_cls: 3.5065, loss: 3.5065 2023-12-28 04:34:04,953 - pyskl - INFO - Epoch [124][2000/3746] lr: 7.487e-03, eta: 17:19:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4475, top5_acc: 0.7008, loss_cls: 3.5470, loss: 3.5470 2023-12-28 04:35:04,136 - pyskl - INFO - Epoch [124][2100/3746] lr: 7.472e-03, eta: 17:18:40, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4428, top5_acc: 0.6947, loss_cls: 3.5759, loss: 3.5759 2023-12-28 04:36:04,201 - pyskl - INFO - Epoch [124][2200/3746] lr: 7.457e-03, eta: 17:17:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4506, top5_acc: 0.7083, loss_cls: 3.5400, loss: 3.5400 2023-12-28 04:37:04,691 - pyskl - INFO - Epoch [124][2300/3746] lr: 7.443e-03, eta: 17:16:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4405, top5_acc: 0.6972, loss_cls: 3.5715, loss: 3.5715 2023-12-28 04:38:03,877 - pyskl - INFO - Epoch [124][2400/3746] lr: 7.428e-03, eta: 17:15:29, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4567, top5_acc: 0.7145, loss_cls: 3.4976, loss: 3.4976 2023-12-28 04:39:03,568 - pyskl - INFO - Epoch [124][2500/3746] lr: 7.413e-03, eta: 17:14:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4502, top5_acc: 0.7006, loss_cls: 3.5364, loss: 3.5364 2023-12-28 04:40:03,163 - pyskl - INFO - Epoch [124][2600/3746] lr: 7.399e-03, eta: 17:13:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4437, top5_acc: 0.6983, loss_cls: 3.5902, loss: 3.5902 2023-12-28 04:41:02,364 - pyskl - INFO - Epoch [124][2700/3746] lr: 7.384e-03, eta: 17:12:18, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4416, top5_acc: 0.7006, loss_cls: 3.5772, loss: 3.5772 2023-12-28 04:42:01,748 - pyskl - INFO - Epoch [124][2800/3746] lr: 7.370e-03, eta: 17:11:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4556, top5_acc: 0.7073, loss_cls: 3.5177, loss: 3.5177 2023-12-28 04:43:01,374 - pyskl - INFO - Epoch [124][2900/3746] lr: 7.355e-03, eta: 17:10:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4380, top5_acc: 0.6972, loss_cls: 3.5778, loss: 3.5778 2023-12-28 04:44:00,617 - pyskl - INFO - Epoch [124][3000/3746] lr: 7.340e-03, eta: 17:09:07, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4348, top5_acc: 0.6970, loss_cls: 3.6072, loss: 3.6072 2023-12-28 04:45:00,199 - pyskl - INFO - Epoch [124][3100/3746] lr: 7.326e-03, eta: 17:08:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4516, top5_acc: 0.7145, loss_cls: 3.5198, loss: 3.5198 2023-12-28 04:45:59,640 - pyskl - INFO - Epoch [124][3200/3746] lr: 7.311e-03, eta: 17:07:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4355, top5_acc: 0.7048, loss_cls: 3.5779, loss: 3.5779 2023-12-28 04:46:59,231 - pyskl - INFO - Epoch [124][3300/3746] lr: 7.297e-03, eta: 17:05:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4591, top5_acc: 0.7092, loss_cls: 3.5156, loss: 3.5156 2023-12-28 04:47:58,776 - pyskl - INFO - Epoch [124][3400/3746] lr: 7.282e-03, eta: 17:04:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4445, top5_acc: 0.6991, loss_cls: 3.5813, loss: 3.5813 2023-12-28 04:48:58,030 - pyskl - INFO - Epoch [124][3500/3746] lr: 7.268e-03, eta: 17:03:49, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4492, top5_acc: 0.7108, loss_cls: 3.5434, loss: 3.5434 2023-12-28 04:49:57,294 - pyskl - INFO - Epoch [124][3600/3746] lr: 7.253e-03, eta: 17:02:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4412, top5_acc: 0.6964, loss_cls: 3.5743, loss: 3.5743 2023-12-28 04:50:56,680 - pyskl - INFO - Epoch [124][3700/3746] lr: 7.239e-03, eta: 17:01:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4406, top5_acc: 0.7061, loss_cls: 3.5444, loss: 3.5444 2023-12-28 04:51:26,380 - pyskl - INFO - Saving checkpoint at 124 epochs 2023-12-28 04:53:27,285 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 04:53:28,340 - pyskl - INFO - top1_acc 0.3731 top5_acc 0.6262 2023-12-28 04:53:28,340 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 04:53:28,379 - pyskl - INFO - mean_acc 0.3728 2023-12-28 04:53:28,391 - pyskl - INFO - Epoch(val) [124][309] top1_acc: 0.3731, top5_acc: 0.6262, mean_class_accuracy: 0.3728 2023-12-28 04:56:52,918 - pyskl - INFO - Epoch [125][100/3746] lr: 7.217e-03, eta: 17:00:33, time: 2.045, data_time: 1.435, memory: 16177, top1_acc: 0.4547, top5_acc: 0.7128, loss_cls: 3.4778, loss: 3.4778 2023-12-28 04:57:52,667 - pyskl - INFO - Epoch [125][200/3746] lr: 7.203e-03, eta: 16:59:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4587, top5_acc: 0.7158, loss_cls: 3.4771, loss: 3.4771 2023-12-28 04:58:52,137 - pyskl - INFO - Epoch [125][300/3746] lr: 7.189e-03, eta: 16:58:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4677, top5_acc: 0.7170, loss_cls: 3.4658, loss: 3.4658 2023-12-28 04:59:51,988 - pyskl - INFO - Epoch [125][400/3746] lr: 7.174e-03, eta: 16:57:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4708, top5_acc: 0.7183, loss_cls: 3.4491, loss: 3.4491 2023-12-28 05:00:51,735 - pyskl - INFO - Epoch [125][500/3746] lr: 7.160e-03, eta: 16:56:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4622, top5_acc: 0.7163, loss_cls: 3.4730, loss: 3.4730 2023-12-28 05:01:51,211 - pyskl - INFO - Epoch [125][600/3746] lr: 7.145e-03, eta: 16:55:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4650, top5_acc: 0.7141, loss_cls: 3.4759, loss: 3.4759 2023-12-28 05:02:50,736 - pyskl - INFO - Epoch [125][700/3746] lr: 7.131e-03, eta: 16:54:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4706, top5_acc: 0.7244, loss_cls: 3.4418, loss: 3.4418 2023-12-28 05:03:50,303 - pyskl - INFO - Epoch [125][800/3746] lr: 7.117e-03, eta: 16:53:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4584, top5_acc: 0.7156, loss_cls: 3.4770, loss: 3.4770 2023-12-28 05:04:49,660 - pyskl - INFO - Epoch [125][900/3746] lr: 7.102e-03, eta: 16:52:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4556, top5_acc: 0.7103, loss_cls: 3.5087, loss: 3.5087 2023-12-28 05:05:49,168 - pyskl - INFO - Epoch [125][1000/3746] lr: 7.088e-03, eta: 16:51:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4550, top5_acc: 0.7086, loss_cls: 3.5084, loss: 3.5084 2023-12-28 05:06:48,695 - pyskl - INFO - Epoch [125][1100/3746] lr: 7.073e-03, eta: 16:49:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4519, top5_acc: 0.7080, loss_cls: 3.5092, loss: 3.5092 2023-12-28 05:07:47,920 - pyskl - INFO - Epoch [125][1200/3746] lr: 7.059e-03, eta: 16:48:53, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4594, top5_acc: 0.7116, loss_cls: 3.5089, loss: 3.5089 2023-12-28 05:08:47,328 - pyskl - INFO - Epoch [125][1300/3746] lr: 7.045e-03, eta: 16:47:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4545, top5_acc: 0.7109, loss_cls: 3.4911, loss: 3.4911 2023-12-28 05:09:46,822 - pyskl - INFO - Epoch [125][1400/3746] lr: 7.031e-03, eta: 16:46:46, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4550, top5_acc: 0.7159, loss_cls: 3.4832, loss: 3.4832 2023-12-28 05:10:46,328 - pyskl - INFO - Epoch [125][1500/3746] lr: 7.016e-03, eta: 16:45:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4491, top5_acc: 0.6952, loss_cls: 3.5435, loss: 3.5435 2023-12-28 05:11:45,775 - pyskl - INFO - Epoch [125][1600/3746] lr: 7.002e-03, eta: 16:44:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4455, top5_acc: 0.7048, loss_cls: 3.5455, loss: 3.5455 2023-12-28 05:12:45,208 - pyskl - INFO - Epoch [125][1700/3746] lr: 6.988e-03, eta: 16:43:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4439, top5_acc: 0.7075, loss_cls: 3.5501, loss: 3.5501 2023-12-28 05:13:45,142 - pyskl - INFO - Epoch [125][1800/3746] lr: 6.973e-03, eta: 16:42:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4558, top5_acc: 0.7092, loss_cls: 3.5104, loss: 3.5104 2023-12-28 05:14:45,543 - pyskl - INFO - Epoch [125][1900/3746] lr: 6.959e-03, eta: 16:41:28, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4667, top5_acc: 0.7125, loss_cls: 3.4820, loss: 3.4820 2023-12-28 05:15:45,249 - pyskl - INFO - Epoch [125][2000/3746] lr: 6.945e-03, eta: 16:40:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4520, top5_acc: 0.7114, loss_cls: 3.5010, loss: 3.5010 2023-12-28 05:16:44,979 - pyskl - INFO - Epoch [125][2100/3746] lr: 6.931e-03, eta: 16:39:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4581, top5_acc: 0.7111, loss_cls: 3.4920, loss: 3.4920 2023-12-28 05:17:45,091 - pyskl - INFO - Epoch [125][2200/3746] lr: 6.917e-03, eta: 16:38:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4519, top5_acc: 0.7017, loss_cls: 3.5427, loss: 3.5427 2023-12-28 05:18:44,827 - pyskl - INFO - Epoch [125][2300/3746] lr: 6.902e-03, eta: 16:37:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4512, top5_acc: 0.7122, loss_cls: 3.5235, loss: 3.5235 2023-12-28 05:19:44,299 - pyskl - INFO - Epoch [125][2400/3746] lr: 6.888e-03, eta: 16:36:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4461, top5_acc: 0.7020, loss_cls: 3.5663, loss: 3.5663 2023-12-28 05:20:44,165 - pyskl - INFO - Epoch [125][2500/3746] lr: 6.874e-03, eta: 16:35:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4567, top5_acc: 0.7170, loss_cls: 3.4930, loss: 3.4930 2023-12-28 05:21:43,935 - pyskl - INFO - Epoch [125][2600/3746] lr: 6.860e-03, eta: 16:34:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4436, top5_acc: 0.6995, loss_cls: 3.5717, loss: 3.5717 2023-12-28 05:22:43,401 - pyskl - INFO - Epoch [125][2700/3746] lr: 6.846e-03, eta: 16:32:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4541, top5_acc: 0.7008, loss_cls: 3.5575, loss: 3.5575 2023-12-28 05:23:42,978 - pyskl - INFO - Epoch [125][2800/3746] lr: 6.832e-03, eta: 16:31:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4417, top5_acc: 0.7030, loss_cls: 3.5600, loss: 3.5600 2023-12-28 05:24:42,406 - pyskl - INFO - Epoch [125][2900/3746] lr: 6.818e-03, eta: 16:30:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4592, top5_acc: 0.7152, loss_cls: 3.5080, loss: 3.5080 2023-12-28 05:25:42,144 - pyskl - INFO - Epoch [125][3000/3746] lr: 6.804e-03, eta: 16:29:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4456, top5_acc: 0.7037, loss_cls: 3.5504, loss: 3.5504 2023-12-28 05:26:42,727 - pyskl - INFO - Epoch [125][3100/3746] lr: 6.789e-03, eta: 16:28:45, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4455, top5_acc: 0.7009, loss_cls: 3.5516, loss: 3.5516 2023-12-28 05:27:42,676 - pyskl - INFO - Epoch [125][3200/3746] lr: 6.775e-03, eta: 16:27:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4473, top5_acc: 0.6987, loss_cls: 3.5522, loss: 3.5522 2023-12-28 05:28:42,815 - pyskl - INFO - Epoch [125][3300/3746] lr: 6.761e-03, eta: 16:26:38, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4466, top5_acc: 0.7009, loss_cls: 3.5456, loss: 3.5456 2023-12-28 05:29:43,302 - pyskl - INFO - Epoch [125][3400/3746] lr: 6.747e-03, eta: 16:25:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4584, top5_acc: 0.7048, loss_cls: 3.5265, loss: 3.5265 2023-12-28 05:30:42,827 - pyskl - INFO - Epoch [125][3500/3746] lr: 6.733e-03, eta: 16:24:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4503, top5_acc: 0.6994, loss_cls: 3.5429, loss: 3.5429 2023-12-28 05:31:42,412 - pyskl - INFO - Epoch [125][3600/3746] lr: 6.719e-03, eta: 16:23:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4573, top5_acc: 0.7145, loss_cls: 3.4922, loss: 3.4922 2023-12-28 05:32:42,143 - pyskl - INFO - Epoch [125][3700/3746] lr: 6.705e-03, eta: 16:22:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4383, top5_acc: 0.6981, loss_cls: 3.5814, loss: 3.5814 2023-12-28 05:33:12,292 - pyskl - INFO - Saving checkpoint at 125 epochs 2023-12-28 05:35:14,809 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 05:35:15,868 - pyskl - INFO - top1_acc 0.3814 top5_acc 0.6324 2023-12-28 05:35:15,868 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 05:35:15,911 - pyskl - INFO - mean_acc 0.3810 2023-12-28 05:35:15,917 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_123.pth was removed 2023-12-28 05:35:16,230 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. 2023-12-28 05:35:16,231 - pyskl - INFO - Best top1_acc is 0.3814 at 125 epoch. 2023-12-28 05:35:16,241 - pyskl - INFO - Epoch(val) [125][309] top1_acc: 0.3814, top5_acc: 0.6324, mean_class_accuracy: 0.3810 2023-12-28 05:38:40,432 - pyskl - INFO - Epoch [126][100/3746] lr: 6.685e-03, eta: 16:21:15, time: 2.042, data_time: 1.433, memory: 16177, top1_acc: 0.4717, top5_acc: 0.7198, loss_cls: 3.4364, loss: 3.4364 2023-12-28 05:39:40,254 - pyskl - INFO - Epoch [126][200/3746] lr: 6.671e-03, eta: 16:20:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4622, top5_acc: 0.7173, loss_cls: 3.4721, loss: 3.4721 2023-12-28 05:40:39,670 - pyskl - INFO - Epoch [126][300/3746] lr: 6.657e-03, eta: 16:19:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4636, top5_acc: 0.7181, loss_cls: 3.4603, loss: 3.4603 2023-12-28 05:41:39,319 - pyskl - INFO - Epoch [126][400/3746] lr: 6.643e-03, eta: 16:18:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4642, top5_acc: 0.7170, loss_cls: 3.4490, loss: 3.4490 2023-12-28 05:42:39,472 - pyskl - INFO - Epoch [126][500/3746] lr: 6.629e-03, eta: 16:17:01, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4637, top5_acc: 0.7147, loss_cls: 3.4577, loss: 3.4577 2023-12-28 05:43:39,456 - pyskl - INFO - Epoch [126][600/3746] lr: 6.615e-03, eta: 16:15:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4606, top5_acc: 0.7178, loss_cls: 3.4721, loss: 3.4721 2023-12-28 05:44:40,050 - pyskl - INFO - Epoch [126][700/3746] lr: 6.601e-03, eta: 16:14:54, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4644, top5_acc: 0.7150, loss_cls: 3.4492, loss: 3.4492 2023-12-28 05:45:40,294 - pyskl - INFO - Epoch [126][800/3746] lr: 6.587e-03, eta: 16:13:50, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4591, top5_acc: 0.7236, loss_cls: 3.4540, loss: 3.4540 2023-12-28 05:46:41,075 - pyskl - INFO - Epoch [126][900/3746] lr: 6.574e-03, eta: 16:12:47, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.4673, top5_acc: 0.7205, loss_cls: 3.4383, loss: 3.4383 2023-12-28 05:47:40,890 - pyskl - INFO - Epoch [126][1000/3746] lr: 6.560e-03, eta: 16:11:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4622, top5_acc: 0.7275, loss_cls: 3.4520, loss: 3.4520 2023-12-28 05:48:40,585 - pyskl - INFO - Epoch [126][1100/3746] lr: 6.546e-03, eta: 16:10:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4641, top5_acc: 0.7216, loss_cls: 3.4339, loss: 3.4339 2023-12-28 05:49:40,073 - pyskl - INFO - Epoch [126][1200/3746] lr: 6.532e-03, eta: 16:09:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4511, top5_acc: 0.7136, loss_cls: 3.4970, loss: 3.4970 2023-12-28 05:50:39,790 - pyskl - INFO - Epoch [126][1300/3746] lr: 6.518e-03, eta: 16:08:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4502, top5_acc: 0.7242, loss_cls: 3.4718, loss: 3.4718 2023-12-28 05:51:39,240 - pyskl - INFO - Epoch [126][1400/3746] lr: 6.505e-03, eta: 16:07:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4512, top5_acc: 0.7063, loss_cls: 3.5240, loss: 3.5240 2023-12-28 05:52:39,023 - pyskl - INFO - Epoch [126][1500/3746] lr: 6.491e-03, eta: 16:06:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4589, top5_acc: 0.7098, loss_cls: 3.5089, loss: 3.5089 2023-12-28 05:53:38,881 - pyskl - INFO - Epoch [126][1600/3746] lr: 6.477e-03, eta: 16:05:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4650, top5_acc: 0.7069, loss_cls: 3.4944, loss: 3.4944 2023-12-28 05:54:38,524 - pyskl - INFO - Epoch [126][1700/3746] lr: 6.463e-03, eta: 16:04:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4592, top5_acc: 0.7120, loss_cls: 3.4970, loss: 3.4970 2023-12-28 05:55:38,238 - pyskl - INFO - Epoch [126][1800/3746] lr: 6.449e-03, eta: 16:03:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4566, top5_acc: 0.7128, loss_cls: 3.4865, loss: 3.4865 2023-12-28 05:56:38,415 - pyskl - INFO - Epoch [126][1900/3746] lr: 6.436e-03, eta: 16:02:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4528, top5_acc: 0.7050, loss_cls: 3.5098, loss: 3.5098 2023-12-28 05:57:38,072 - pyskl - INFO - Epoch [126][2000/3746] lr: 6.422e-03, eta: 16:01:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4398, top5_acc: 0.7114, loss_cls: 3.5338, loss: 3.5338 2023-12-28 05:58:38,088 - pyskl - INFO - Epoch [126][2100/3746] lr: 6.408e-03, eta: 16:00:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4608, top5_acc: 0.7108, loss_cls: 3.5083, loss: 3.5083 2023-12-28 05:59:38,013 - pyskl - INFO - Epoch [126][2200/3746] lr: 6.395e-03, eta: 15:59:01, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4623, top5_acc: 0.7144, loss_cls: 3.5120, loss: 3.5120 2023-12-28 06:00:38,128 - pyskl - INFO - Epoch [126][2300/3746] lr: 6.381e-03, eta: 15:57:57, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4691, top5_acc: 0.7128, loss_cls: 3.4838, loss: 3.4838 2023-12-28 06:01:37,769 - pyskl - INFO - Epoch [126][2400/3746] lr: 6.367e-03, eta: 15:56:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4520, top5_acc: 0.7206, loss_cls: 3.4733, loss: 3.4733 2023-12-28 06:02:37,246 - pyskl - INFO - Epoch [126][2500/3746] lr: 6.354e-03, eta: 15:55:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4489, top5_acc: 0.7094, loss_cls: 3.5462, loss: 3.5462 2023-12-28 06:03:36,643 - pyskl - INFO - Epoch [126][2600/3746] lr: 6.340e-03, eta: 15:54:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4550, top5_acc: 0.7081, loss_cls: 3.5181, loss: 3.5181 2023-12-28 06:04:36,041 - pyskl - INFO - Epoch [126][2700/3746] lr: 6.326e-03, eta: 15:53:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4603, top5_acc: 0.7197, loss_cls: 3.4805, loss: 3.4805 2023-12-28 06:05:35,472 - pyskl - INFO - Epoch [126][2800/3746] lr: 6.313e-03, eta: 15:52:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4667, top5_acc: 0.7103, loss_cls: 3.5069, loss: 3.5069 2023-12-28 06:06:35,124 - pyskl - INFO - Epoch [126][2900/3746] lr: 6.299e-03, eta: 15:51:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4558, top5_acc: 0.7070, loss_cls: 3.5109, loss: 3.5109 2023-12-28 06:07:35,363 - pyskl - INFO - Epoch [126][3000/3746] lr: 6.286e-03, eta: 15:50:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4612, top5_acc: 0.7139, loss_cls: 3.4921, loss: 3.4921 2023-12-28 06:08:35,885 - pyskl - INFO - Epoch [126][3100/3746] lr: 6.272e-03, eta: 15:49:29, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4469, top5_acc: 0.7037, loss_cls: 3.5243, loss: 3.5243 2023-12-28 06:09:35,477 - pyskl - INFO - Epoch [126][3200/3746] lr: 6.259e-03, eta: 15:48:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4652, top5_acc: 0.7150, loss_cls: 3.4529, loss: 3.4529 2023-12-28 06:10:35,423 - pyskl - INFO - Epoch [126][3300/3746] lr: 6.245e-03, eta: 15:47:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4602, top5_acc: 0.7142, loss_cls: 3.4739, loss: 3.4739 2023-12-28 06:11:35,007 - pyskl - INFO - Epoch [126][3400/3746] lr: 6.231e-03, eta: 15:46:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4537, top5_acc: 0.7064, loss_cls: 3.5219, loss: 3.5219 2023-12-28 06:12:34,477 - pyskl - INFO - Epoch [126][3500/3746] lr: 6.218e-03, eta: 15:45:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4650, top5_acc: 0.7078, loss_cls: 3.4974, loss: 3.4974 2023-12-28 06:13:35,046 - pyskl - INFO - Epoch [126][3600/3746] lr: 6.204e-03, eta: 15:44:11, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4453, top5_acc: 0.7019, loss_cls: 3.5351, loss: 3.5351 2023-12-28 06:14:34,874 - pyskl - INFO - Epoch [126][3700/3746] lr: 6.191e-03, eta: 15:43:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4552, top5_acc: 0.7086, loss_cls: 3.4955, loss: 3.4955 2023-12-28 06:15:04,502 - pyskl - INFO - Saving checkpoint at 126 epochs 2023-12-28 06:17:02,663 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 06:17:03,467 - pyskl - INFO - top1_acc 0.3833 top5_acc 0.6369 2023-12-28 06:17:03,467 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 06:17:03,504 - pyskl - INFO - mean_acc 0.3830 2023-12-28 06:17:03,511 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_125.pth was removed 2023-12-28 06:17:03,772 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. 2023-12-28 06:17:03,773 - pyskl - INFO - Best top1_acc is 0.3833 at 126 epoch. 2023-12-28 06:17:03,791 - pyskl - INFO - Epoch(val) [126][309] top1_acc: 0.3833, top5_acc: 0.6369, mean_class_accuracy: 0.3830 2023-12-28 06:20:26,312 - pyskl - INFO - Epoch [127][100/3746] lr: 6.171e-03, eta: 15:41:57, time: 2.025, data_time: 1.418, memory: 16177, top1_acc: 0.4706, top5_acc: 0.7317, loss_cls: 3.4099, loss: 3.4099 2023-12-28 06:21:26,135 - pyskl - INFO - Epoch [127][200/3746] lr: 6.158e-03, eta: 15:40:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4814, top5_acc: 0.7334, loss_cls: 3.3791, loss: 3.3791 2023-12-28 06:22:26,127 - pyskl - INFO - Epoch [127][300/3746] lr: 6.144e-03, eta: 15:39:50, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4695, top5_acc: 0.7236, loss_cls: 3.4006, loss: 3.4006 2023-12-28 06:23:25,756 - pyskl - INFO - Epoch [127][400/3746] lr: 6.131e-03, eta: 15:38:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4772, top5_acc: 0.7306, loss_cls: 3.4026, loss: 3.4026 2023-12-28 06:24:25,630 - pyskl - INFO - Epoch [127][500/3746] lr: 6.118e-03, eta: 15:37:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4748, top5_acc: 0.7233, loss_cls: 3.4235, loss: 3.4235 2023-12-28 06:25:25,212 - pyskl - INFO - Epoch [127][600/3746] lr: 6.104e-03, eta: 15:36:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4722, top5_acc: 0.7230, loss_cls: 3.4286, loss: 3.4286 2023-12-28 06:26:25,054 - pyskl - INFO - Epoch [127][700/3746] lr: 6.091e-03, eta: 15:35:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4683, top5_acc: 0.7231, loss_cls: 3.4635, loss: 3.4635 2023-12-28 06:27:24,795 - pyskl - INFO - Epoch [127][800/3746] lr: 6.077e-03, eta: 15:34:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4641, top5_acc: 0.7250, loss_cls: 3.4408, loss: 3.4408 2023-12-28 06:28:24,202 - pyskl - INFO - Epoch [127][900/3746] lr: 6.064e-03, eta: 15:33:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4642, top5_acc: 0.7189, loss_cls: 3.4552, loss: 3.4552 2023-12-28 06:29:24,253 - pyskl - INFO - Epoch [127][1000/3746] lr: 6.051e-03, eta: 15:32:25, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4677, top5_acc: 0.7278, loss_cls: 3.4221, loss: 3.4221 2023-12-28 06:30:23,609 - pyskl - INFO - Epoch [127][1100/3746] lr: 6.037e-03, eta: 15:31:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4641, top5_acc: 0.7200, loss_cls: 3.4716, loss: 3.4716 2023-12-28 06:31:23,100 - pyskl - INFO - Epoch [127][1200/3746] lr: 6.024e-03, eta: 15:30:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4692, top5_acc: 0.7203, loss_cls: 3.4350, loss: 3.4350 2023-12-28 06:32:22,848 - pyskl - INFO - Epoch [127][1300/3746] lr: 6.011e-03, eta: 15:29:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4572, top5_acc: 0.7102, loss_cls: 3.4836, loss: 3.4836 2023-12-28 06:33:22,554 - pyskl - INFO - Epoch [127][1400/3746] lr: 5.998e-03, eta: 15:28:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4606, top5_acc: 0.7119, loss_cls: 3.4795, loss: 3.4795 2023-12-28 06:34:22,082 - pyskl - INFO - Epoch [127][1500/3746] lr: 5.984e-03, eta: 15:27:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4586, top5_acc: 0.7097, loss_cls: 3.4884, loss: 3.4884 2023-12-28 06:35:21,668 - pyskl - INFO - Epoch [127][1600/3746] lr: 5.971e-03, eta: 15:26:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4533, top5_acc: 0.7058, loss_cls: 3.4972, loss: 3.4972 2023-12-28 06:36:22,158 - pyskl - INFO - Epoch [127][1700/3746] lr: 5.958e-03, eta: 15:25:01, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4614, top5_acc: 0.7139, loss_cls: 3.4657, loss: 3.4657 2023-12-28 06:37:22,099 - pyskl - INFO - Epoch [127][1800/3746] lr: 5.945e-03, eta: 15:23:57, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4716, top5_acc: 0.7208, loss_cls: 3.4375, loss: 3.4375 2023-12-28 06:38:22,272 - pyskl - INFO - Epoch [127][1900/3746] lr: 5.931e-03, eta: 15:22:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4730, top5_acc: 0.7261, loss_cls: 3.4078, loss: 3.4078 2023-12-28 06:39:21,708 - pyskl - INFO - Epoch [127][2000/3746] lr: 5.918e-03, eta: 15:21:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4595, top5_acc: 0.7194, loss_cls: 3.4674, loss: 3.4674 2023-12-28 06:40:21,464 - pyskl - INFO - Epoch [127][2100/3746] lr: 5.905e-03, eta: 15:20:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4669, top5_acc: 0.7136, loss_cls: 3.4601, loss: 3.4601 2023-12-28 06:41:21,120 - pyskl - INFO - Epoch [127][2200/3746] lr: 5.892e-03, eta: 15:19:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4630, top5_acc: 0.7173, loss_cls: 3.4607, loss: 3.4607 2023-12-28 06:42:21,501 - pyskl - INFO - Epoch [127][2300/3746] lr: 5.879e-03, eta: 15:18:40, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4536, top5_acc: 0.7103, loss_cls: 3.5026, loss: 3.5026 2023-12-28 06:43:21,693 - pyskl - INFO - Epoch [127][2400/3746] lr: 5.866e-03, eta: 15:17:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4730, top5_acc: 0.7250, loss_cls: 3.4313, loss: 3.4313 2023-12-28 06:44:21,256 - pyskl - INFO - Epoch [127][2500/3746] lr: 5.852e-03, eta: 15:16:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4597, top5_acc: 0.7156, loss_cls: 3.4676, loss: 3.4676 2023-12-28 06:45:20,777 - pyskl - INFO - Epoch [127][2600/3746] lr: 5.839e-03, eta: 15:15:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4592, top5_acc: 0.7227, loss_cls: 3.4241, loss: 3.4241 2023-12-28 06:46:20,245 - pyskl - INFO - Epoch [127][2700/3746] lr: 5.826e-03, eta: 15:14:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4528, top5_acc: 0.7106, loss_cls: 3.5017, loss: 3.5017 2023-12-28 06:47:19,597 - pyskl - INFO - Epoch [127][2800/3746] lr: 5.813e-03, eta: 15:13:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4591, top5_acc: 0.7094, loss_cls: 3.4877, loss: 3.4877 2023-12-28 06:48:18,829 - pyskl - INFO - Epoch [127][2900/3746] lr: 5.800e-03, eta: 15:12:19, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4677, top5_acc: 0.7113, loss_cls: 3.4734, loss: 3.4734 2023-12-28 06:49:18,046 - pyskl - INFO - Epoch [127][3000/3746] lr: 5.787e-03, eta: 15:11:15, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4648, top5_acc: 0.7214, loss_cls: 3.4407, loss: 3.4407 2023-12-28 06:50:17,343 - pyskl - INFO - Epoch [127][3100/3746] lr: 5.774e-03, eta: 15:10:11, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4487, top5_acc: 0.7084, loss_cls: 3.5153, loss: 3.5153 2023-12-28 06:51:16,876 - pyskl - INFO - Epoch [127][3200/3746] lr: 5.761e-03, eta: 15:09:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4695, top5_acc: 0.7158, loss_cls: 3.4485, loss: 3.4485 2023-12-28 06:52:16,282 - pyskl - INFO - Epoch [127][3300/3746] lr: 5.748e-03, eta: 15:08:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4572, top5_acc: 0.7041, loss_cls: 3.5024, loss: 3.5024 2023-12-28 06:53:15,834 - pyskl - INFO - Epoch [127][3400/3746] lr: 5.735e-03, eta: 15:07:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4606, top5_acc: 0.7117, loss_cls: 3.4909, loss: 3.4909 2023-12-28 06:54:15,216 - pyskl - INFO - Epoch [127][3500/3746] lr: 5.722e-03, eta: 15:05:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4545, top5_acc: 0.7097, loss_cls: 3.5200, loss: 3.5200 2023-12-28 06:55:15,026 - pyskl - INFO - Epoch [127][3600/3746] lr: 5.709e-03, eta: 15:04:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4662, top5_acc: 0.7125, loss_cls: 3.4775, loss: 3.4775 2023-12-28 06:56:14,508 - pyskl - INFO - Epoch [127][3700/3746] lr: 5.696e-03, eta: 15:03:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4620, top5_acc: 0.7153, loss_cls: 3.4758, loss: 3.4758 2023-12-28 06:56:44,657 - pyskl - INFO - Saving checkpoint at 127 epochs 2023-12-28 06:58:46,277 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 06:58:47,353 - pyskl - INFO - top1_acc 0.3832 top5_acc 0.6388 2023-12-28 06:58:47,353 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 06:58:47,396 - pyskl - INFO - mean_acc 0.3830 2023-12-28 06:58:47,405 - pyskl - INFO - Epoch(val) [127][309] top1_acc: 0.3832, top5_acc: 0.6388, mean_class_accuracy: 0.3830 2023-12-28 07:02:10,712 - pyskl - INFO - Epoch [128][100/3746] lr: 5.677e-03, eta: 15:02:39, time: 2.033, data_time: 1.428, memory: 16177, top1_acc: 0.4784, top5_acc: 0.7286, loss_cls: 3.4014, loss: 3.4014 2023-12-28 07:03:10,563 - pyskl - INFO - Epoch [128][200/3746] lr: 5.664e-03, eta: 15:01:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4723, top5_acc: 0.7302, loss_cls: 3.4044, loss: 3.4044 2023-12-28 07:04:10,194 - pyskl - INFO - Epoch [128][300/3746] lr: 5.651e-03, eta: 15:00:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4820, top5_acc: 0.7362, loss_cls: 3.3836, loss: 3.3836 2023-12-28 07:05:09,956 - pyskl - INFO - Epoch [128][400/3746] lr: 5.638e-03, eta: 14:59:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4820, top5_acc: 0.7284, loss_cls: 3.3924, loss: 3.3924 2023-12-28 07:06:09,804 - pyskl - INFO - Epoch [128][500/3746] lr: 5.625e-03, eta: 14:58:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4814, top5_acc: 0.7350, loss_cls: 3.3719, loss: 3.3719 2023-12-28 07:07:09,151 - pyskl - INFO - Epoch [128][600/3746] lr: 5.612e-03, eta: 14:57:21, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4711, top5_acc: 0.7209, loss_cls: 3.4144, loss: 3.4144 2023-12-28 07:08:08,762 - pyskl - INFO - Epoch [128][700/3746] lr: 5.600e-03, eta: 14:56:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4786, top5_acc: 0.7341, loss_cls: 3.3882, loss: 3.3882 2023-12-28 07:09:08,063 - pyskl - INFO - Epoch [128][800/3746] lr: 5.587e-03, eta: 14:55:14, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4734, top5_acc: 0.7284, loss_cls: 3.4040, loss: 3.4040 2023-12-28 07:10:07,512 - pyskl - INFO - Epoch [128][900/3746] lr: 5.574e-03, eta: 14:54:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4781, top5_acc: 0.7350, loss_cls: 3.3735, loss: 3.3735 2023-12-28 07:11:06,862 - pyskl - INFO - Epoch [128][1000/3746] lr: 5.561e-03, eta: 14:53:07, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4609, top5_acc: 0.7236, loss_cls: 3.4418, loss: 3.4418 2023-12-28 07:12:06,333 - pyskl - INFO - Epoch [128][1100/3746] lr: 5.548e-03, eta: 14:52:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4642, top5_acc: 0.7195, loss_cls: 3.4658, loss: 3.4658 2023-12-28 07:13:05,741 - pyskl - INFO - Epoch [128][1200/3746] lr: 5.536e-03, eta: 14:51:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4600, top5_acc: 0.7244, loss_cls: 3.4356, loss: 3.4356 2023-12-28 07:14:05,296 - pyskl - INFO - Epoch [128][1300/3746] lr: 5.523e-03, eta: 14:49:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4672, top5_acc: 0.7280, loss_cls: 3.4264, loss: 3.4264 2023-12-28 07:15:04,805 - pyskl - INFO - Epoch [128][1400/3746] lr: 5.510e-03, eta: 14:48:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4789, top5_acc: 0.7281, loss_cls: 3.4042, loss: 3.4042 2023-12-28 07:16:04,396 - pyskl - INFO - Epoch [128][1500/3746] lr: 5.497e-03, eta: 14:47:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4798, top5_acc: 0.7291, loss_cls: 3.3957, loss: 3.3957 2023-12-28 07:17:03,764 - pyskl - INFO - Epoch [128][1600/3746] lr: 5.485e-03, eta: 14:46:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4658, top5_acc: 0.7233, loss_cls: 3.4463, loss: 3.4463 2023-12-28 07:18:03,330 - pyskl - INFO - Epoch [128][1700/3746] lr: 5.472e-03, eta: 14:45:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4767, top5_acc: 0.7244, loss_cls: 3.3978, loss: 3.3978 2023-12-28 07:19:03,431 - pyskl - INFO - Epoch [128][1800/3746] lr: 5.459e-03, eta: 14:44:39, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4625, top5_acc: 0.7238, loss_cls: 3.4580, loss: 3.4580 2023-12-28 07:20:03,857 - pyskl - INFO - Epoch [128][1900/3746] lr: 5.446e-03, eta: 14:43:35, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4603, top5_acc: 0.7173, loss_cls: 3.4708, loss: 3.4708 2023-12-28 07:21:03,168 - pyskl - INFO - Epoch [128][2000/3746] lr: 5.434e-03, eta: 14:42:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4730, top5_acc: 0.7202, loss_cls: 3.4465, loss: 3.4465 2023-12-28 07:22:02,677 - pyskl - INFO - Epoch [128][2100/3746] lr: 5.421e-03, eta: 14:41:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4634, top5_acc: 0.7181, loss_cls: 3.4421, loss: 3.4421 2023-12-28 07:23:02,099 - pyskl - INFO - Epoch [128][2200/3746] lr: 5.408e-03, eta: 14:40:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4592, top5_acc: 0.7173, loss_cls: 3.4589, loss: 3.4589 2023-12-28 07:24:02,272 - pyskl - INFO - Epoch [128][2300/3746] lr: 5.396e-03, eta: 14:39:21, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4717, top5_acc: 0.7216, loss_cls: 3.4415, loss: 3.4415 2023-12-28 07:25:02,898 - pyskl - INFO - Epoch [128][2400/3746] lr: 5.383e-03, eta: 14:38:18, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4631, top5_acc: 0.7283, loss_cls: 3.4233, loss: 3.4233 2023-12-28 07:26:02,375 - pyskl - INFO - Epoch [128][2500/3746] lr: 5.370e-03, eta: 14:37:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4706, top5_acc: 0.7280, loss_cls: 3.4029, loss: 3.4029 2023-12-28 07:27:01,959 - pyskl - INFO - Epoch [128][2600/3746] lr: 5.358e-03, eta: 14:36:11, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4836, top5_acc: 0.7320, loss_cls: 3.3994, loss: 3.3994 2023-12-28 07:28:01,382 - pyskl - INFO - Epoch [128][2700/3746] lr: 5.345e-03, eta: 14:35:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4709, top5_acc: 0.7227, loss_cls: 3.4257, loss: 3.4257 2023-12-28 07:29:00,728 - pyskl - INFO - Epoch [128][2800/3746] lr: 5.333e-03, eta: 14:34:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4645, top5_acc: 0.7119, loss_cls: 3.4729, loss: 3.4729 2023-12-28 07:29:59,965 - pyskl - INFO - Epoch [128][2900/3746] lr: 5.320e-03, eta: 14:33:00, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4681, top5_acc: 0.7233, loss_cls: 3.4238, loss: 3.4238 2023-12-28 07:30:59,819 - pyskl - INFO - Epoch [128][3000/3746] lr: 5.308e-03, eta: 14:31:57, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4645, top5_acc: 0.7164, loss_cls: 3.4776, loss: 3.4776 2023-12-28 07:31:59,255 - pyskl - INFO - Epoch [128][3100/3746] lr: 5.295e-03, eta: 14:30:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4714, top5_acc: 0.7266, loss_cls: 3.4260, loss: 3.4260 2023-12-28 07:32:58,670 - pyskl - INFO - Epoch [128][3200/3746] lr: 5.283e-03, eta: 14:29:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4605, top5_acc: 0.7058, loss_cls: 3.4981, loss: 3.4981 2023-12-28 07:33:57,954 - pyskl - INFO - Epoch [128][3300/3746] lr: 5.270e-03, eta: 14:28:46, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4678, top5_acc: 0.7113, loss_cls: 3.4604, loss: 3.4604 2023-12-28 07:34:57,190 - pyskl - INFO - Epoch [128][3400/3746] lr: 5.258e-03, eta: 14:27:43, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4595, top5_acc: 0.7181, loss_cls: 3.4771, loss: 3.4771 2023-12-28 07:35:56,450 - pyskl - INFO - Epoch [128][3500/3746] lr: 5.245e-03, eta: 14:26:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4644, top5_acc: 0.7152, loss_cls: 3.4696, loss: 3.4696 2023-12-28 07:36:56,015 - pyskl - INFO - Epoch [128][3600/3746] lr: 5.233e-03, eta: 14:25:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4603, top5_acc: 0.7111, loss_cls: 3.4724, loss: 3.4724 2023-12-28 07:37:55,347 - pyskl - INFO - Epoch [128][3700/3746] lr: 5.220e-03, eta: 14:24:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4595, top5_acc: 0.7141, loss_cls: 3.4658, loss: 3.4658 2023-12-28 07:38:25,162 - pyskl - INFO - Saving checkpoint at 128 epochs 2023-12-28 07:40:25,730 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 07:40:26,555 - pyskl - INFO - top1_acc 0.3957 top5_acc 0.6477 2023-12-28 07:40:26,556 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 07:40:26,592 - pyskl - INFO - mean_acc 0.3955 2023-12-28 07:40:26,599 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_126.pth was removed 2023-12-28 07:40:26,860 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. 2023-12-28 07:40:26,860 - pyskl - INFO - Best top1_acc is 0.3957 at 128 epoch. 2023-12-28 07:40:26,873 - pyskl - INFO - Epoch(val) [128][309] top1_acc: 0.3957, top5_acc: 0.6477, mean_class_accuracy: 0.3955 2023-12-28 07:43:56,799 - pyskl - INFO - Epoch [129][100/3746] lr: 5.202e-03, eta: 14:23:21, time: 2.099, data_time: 1.493, memory: 16177, top1_acc: 0.4953, top5_acc: 0.7381, loss_cls: 3.3155, loss: 3.3155 2023-12-28 07:44:57,145 - pyskl - INFO - Epoch [129][200/3746] lr: 5.190e-03, eta: 14:22:17, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4841, top5_acc: 0.7288, loss_cls: 3.3792, loss: 3.3792 2023-12-28 07:45:57,155 - pyskl - INFO - Epoch [129][300/3746] lr: 5.177e-03, eta: 14:21:14, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4767, top5_acc: 0.7370, loss_cls: 3.3671, loss: 3.3671 2023-12-28 07:46:56,857 - pyskl - INFO - Epoch [129][400/3746] lr: 5.165e-03, eta: 14:20:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4798, top5_acc: 0.7458, loss_cls: 3.3525, loss: 3.3525 2023-12-28 07:47:56,571 - pyskl - INFO - Epoch [129][500/3746] lr: 5.153e-03, eta: 14:19:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4736, top5_acc: 0.7336, loss_cls: 3.3996, loss: 3.3996 2023-12-28 07:48:56,555 - pyskl - INFO - Epoch [129][600/3746] lr: 5.140e-03, eta: 14:18:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4869, top5_acc: 0.7355, loss_cls: 3.3487, loss: 3.3487 2023-12-28 07:49:56,259 - pyskl - INFO - Epoch [129][700/3746] lr: 5.128e-03, eta: 14:17:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4841, top5_acc: 0.7319, loss_cls: 3.3911, loss: 3.3911 2023-12-28 07:50:55,848 - pyskl - INFO - Epoch [129][800/3746] lr: 5.116e-03, eta: 14:15:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4889, top5_acc: 0.7414, loss_cls: 3.3348, loss: 3.3348 2023-12-28 07:51:55,450 - pyskl - INFO - Epoch [129][900/3746] lr: 5.103e-03, eta: 14:14:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4784, top5_acc: 0.7314, loss_cls: 3.3852, loss: 3.3852 2023-12-28 07:52:55,209 - pyskl - INFO - Epoch [129][1000/3746] lr: 5.091e-03, eta: 14:13:49, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4722, top5_acc: 0.7225, loss_cls: 3.4166, loss: 3.4166 2023-12-28 07:53:54,577 - pyskl - INFO - Epoch [129][1100/3746] lr: 5.079e-03, eta: 14:12:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4764, top5_acc: 0.7267, loss_cls: 3.4175, loss: 3.4175 2023-12-28 07:54:53,772 - pyskl - INFO - Epoch [129][1200/3746] lr: 5.066e-03, eta: 14:11:42, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4739, top5_acc: 0.7277, loss_cls: 3.4017, loss: 3.4017 2023-12-28 07:55:53,173 - pyskl - INFO - Epoch [129][1300/3746] lr: 5.054e-03, eta: 14:10:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4741, top5_acc: 0.7236, loss_cls: 3.4152, loss: 3.4152 2023-12-28 07:56:52,966 - pyskl - INFO - Epoch [129][1400/3746] lr: 5.042e-03, eta: 14:09:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4727, top5_acc: 0.7236, loss_cls: 3.4320, loss: 3.4320 2023-12-28 07:57:52,584 - pyskl - INFO - Epoch [129][1500/3746] lr: 5.030e-03, eta: 14:08:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4753, top5_acc: 0.7231, loss_cls: 3.4274, loss: 3.4274 2023-12-28 07:58:52,292 - pyskl - INFO - Epoch [129][1600/3746] lr: 5.017e-03, eta: 14:07:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4703, top5_acc: 0.7302, loss_cls: 3.4285, loss: 3.4285 2023-12-28 07:59:51,720 - pyskl - INFO - Epoch [129][1700/3746] lr: 5.005e-03, eta: 14:06:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4752, top5_acc: 0.7272, loss_cls: 3.4003, loss: 3.4003 2023-12-28 08:00:51,524 - pyskl - INFO - Epoch [129][1800/3746] lr: 4.993e-03, eta: 14:05:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4773, top5_acc: 0.7305, loss_cls: 3.4058, loss: 3.4058 2023-12-28 08:01:51,720 - pyskl - INFO - Epoch [129][1900/3746] lr: 4.981e-03, eta: 14:04:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4711, top5_acc: 0.7241, loss_cls: 3.4177, loss: 3.4177 2023-12-28 08:02:51,397 - pyskl - INFO - Epoch [129][2000/3746] lr: 4.969e-03, eta: 14:03:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4805, top5_acc: 0.7281, loss_cls: 3.3943, loss: 3.3943 2023-12-28 08:03:51,427 - pyskl - INFO - Epoch [129][2100/3746] lr: 4.957e-03, eta: 14:02:11, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4719, top5_acc: 0.7277, loss_cls: 3.4010, loss: 3.4010 2023-12-28 08:04:51,104 - pyskl - INFO - Epoch [129][2200/3746] lr: 4.944e-03, eta: 14:01:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4883, top5_acc: 0.7398, loss_cls: 3.3628, loss: 3.3628 2023-12-28 08:05:50,852 - pyskl - INFO - Epoch [129][2300/3746] lr: 4.932e-03, eta: 14:00:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4747, top5_acc: 0.7223, loss_cls: 3.4287, loss: 3.4287 2023-12-28 08:06:50,978 - pyskl - INFO - Epoch [129][2400/3746] lr: 4.920e-03, eta: 13:59:01, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4775, top5_acc: 0.7389, loss_cls: 3.3726, loss: 3.3726 2023-12-28 08:07:50,196 - pyskl - INFO - Epoch [129][2500/3746] lr: 4.908e-03, eta: 13:57:57, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4750, top5_acc: 0.7261, loss_cls: 3.3966, loss: 3.3966 2023-12-28 08:08:49,389 - pyskl - INFO - Epoch [129][2600/3746] lr: 4.896e-03, eta: 13:56:54, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4720, top5_acc: 0.7267, loss_cls: 3.4016, loss: 3.4016 2023-12-28 08:09:48,998 - pyskl - INFO - Epoch [129][2700/3746] lr: 4.884e-03, eta: 13:55:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4702, top5_acc: 0.7216, loss_cls: 3.4163, loss: 3.4163 2023-12-28 08:10:47,907 - pyskl - INFO - Epoch [129][2800/3746] lr: 4.872e-03, eta: 13:54:47, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4738, top5_acc: 0.7291, loss_cls: 3.4035, loss: 3.4035 2023-12-28 08:11:47,252 - pyskl - INFO - Epoch [129][2900/3746] lr: 4.860e-03, eta: 13:53:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4767, top5_acc: 0.7234, loss_cls: 3.4156, loss: 3.4156 2023-12-28 08:12:46,662 - pyskl - INFO - Epoch [129][3000/3746] lr: 4.848e-03, eta: 13:52:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4630, top5_acc: 0.7277, loss_cls: 3.4175, loss: 3.4175 2023-12-28 08:13:46,036 - pyskl - INFO - Epoch [129][3100/3746] lr: 4.836e-03, eta: 13:51:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4756, top5_acc: 0.7275, loss_cls: 3.4075, loss: 3.4075 2023-12-28 08:14:46,066 - pyskl - INFO - Epoch [129][3200/3746] lr: 4.824e-03, eta: 13:50:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4767, top5_acc: 0.7314, loss_cls: 3.3947, loss: 3.3947 2023-12-28 08:15:46,192 - pyskl - INFO - Epoch [129][3300/3746] lr: 4.812e-03, eta: 13:49:30, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4742, top5_acc: 0.7244, loss_cls: 3.4356, loss: 3.4356 2023-12-28 08:16:45,506 - pyskl - INFO - Epoch [129][3400/3746] lr: 4.800e-03, eta: 13:48:26, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4642, top5_acc: 0.7173, loss_cls: 3.4467, loss: 3.4467 2023-12-28 08:17:45,389 - pyskl - INFO - Epoch [129][3500/3746] lr: 4.788e-03, eta: 13:47:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4702, top5_acc: 0.7242, loss_cls: 3.4222, loss: 3.4222 2023-12-28 08:18:44,839 - pyskl - INFO - Epoch [129][3600/3746] lr: 4.776e-03, eta: 13:46:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4637, top5_acc: 0.7144, loss_cls: 3.4585, loss: 3.4585 2023-12-28 08:19:44,399 - pyskl - INFO - Epoch [129][3700/3746] lr: 4.764e-03, eta: 13:45:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4739, top5_acc: 0.7242, loss_cls: 3.4043, loss: 3.4043 2023-12-28 08:20:14,598 - pyskl - INFO - Saving checkpoint at 129 epochs 2023-12-28 08:22:14,653 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 08:22:15,513 - pyskl - INFO - top1_acc 0.3967 top5_acc 0.6528 2023-12-28 08:22:15,513 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 08:22:15,547 - pyskl - INFO - mean_acc 0.3963 2023-12-28 08:22:15,552 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_128.pth was removed 2023-12-28 08:22:15,855 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. 2023-12-28 08:22:15,856 - pyskl - INFO - Best top1_acc is 0.3967 at 129 epoch. 2023-12-28 08:22:15,863 - pyskl - INFO - Epoch(val) [129][309] top1_acc: 0.3967, top5_acc: 0.6528, mean_class_accuracy: 0.3963 2023-12-28 08:25:38,728 - pyskl - INFO - Epoch [130][100/3746] lr: 4.747e-03, eta: 13:44:02, time: 2.029, data_time: 1.421, memory: 16177, top1_acc: 0.4881, top5_acc: 0.7364, loss_cls: 3.3400, loss: 3.3400 2023-12-28 08:26:38,881 - pyskl - INFO - Epoch [130][200/3746] lr: 4.735e-03, eta: 13:42:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4948, top5_acc: 0.7481, loss_cls: 3.3017, loss: 3.3017 2023-12-28 08:27:38,190 - pyskl - INFO - Epoch [130][300/3746] lr: 4.723e-03, eta: 13:41:55, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5003, top5_acc: 0.7444, loss_cls: 3.3009, loss: 3.3009 2023-12-28 08:28:38,161 - pyskl - INFO - Epoch [130][400/3746] lr: 4.711e-03, eta: 13:40:52, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4895, top5_acc: 0.7470, loss_cls: 3.3042, loss: 3.3042 2023-12-28 08:29:37,854 - pyskl - INFO - Epoch [130][500/3746] lr: 4.699e-03, eta: 13:39:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4770, top5_acc: 0.7348, loss_cls: 3.3855, loss: 3.3855 2023-12-28 08:30:37,180 - pyskl - INFO - Epoch [130][600/3746] lr: 4.688e-03, eta: 13:38:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4873, top5_acc: 0.7362, loss_cls: 3.3407, loss: 3.3407 2023-12-28 08:31:36,946 - pyskl - INFO - Epoch [130][700/3746] lr: 4.676e-03, eta: 13:37:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4867, top5_acc: 0.7288, loss_cls: 3.3772, loss: 3.3772 2023-12-28 08:32:36,200 - pyskl - INFO - Epoch [130][800/3746] lr: 4.664e-03, eta: 13:36:38, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4828, top5_acc: 0.7345, loss_cls: 3.3426, loss: 3.3426 2023-12-28 08:33:35,959 - pyskl - INFO - Epoch [130][900/3746] lr: 4.652e-03, eta: 13:35:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4906, top5_acc: 0.7377, loss_cls: 3.3415, loss: 3.3415 2023-12-28 08:34:35,775 - pyskl - INFO - Epoch [130][1000/3746] lr: 4.640e-03, eta: 13:34:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4764, top5_acc: 0.7311, loss_cls: 3.3999, loss: 3.3999 2023-12-28 08:35:35,214 - pyskl - INFO - Epoch [130][1100/3746] lr: 4.629e-03, eta: 13:33:27, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4744, top5_acc: 0.7348, loss_cls: 3.3699, loss: 3.3699 2023-12-28 08:36:36,010 - pyskl - INFO - Epoch [130][1200/3746] lr: 4.617e-03, eta: 13:32:24, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.4756, top5_acc: 0.7345, loss_cls: 3.3769, loss: 3.3769 2023-12-28 08:37:36,613 - pyskl - INFO - Epoch [130][1300/3746] lr: 4.605e-03, eta: 13:31:21, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4873, top5_acc: 0.7334, loss_cls: 3.3590, loss: 3.3590 2023-12-28 08:38:36,383 - pyskl - INFO - Epoch [130][1400/3746] lr: 4.594e-03, eta: 13:30:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4916, top5_acc: 0.7384, loss_cls: 3.3532, loss: 3.3532 2023-12-28 08:39:35,862 - pyskl - INFO - Epoch [130][1500/3746] lr: 4.582e-03, eta: 13:29:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4842, top5_acc: 0.7353, loss_cls: 3.3740, loss: 3.3740 2023-12-28 08:40:35,104 - pyskl - INFO - Epoch [130][1600/3746] lr: 4.570e-03, eta: 13:28:10, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4819, top5_acc: 0.7416, loss_cls: 3.3704, loss: 3.3704 2023-12-28 08:41:34,423 - pyskl - INFO - Epoch [130][1700/3746] lr: 4.558e-03, eta: 13:27:07, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4847, top5_acc: 0.7439, loss_cls: 3.3477, loss: 3.3477 2023-12-28 08:42:34,895 - pyskl - INFO - Epoch [130][1800/3746] lr: 4.547e-03, eta: 13:26:04, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4795, top5_acc: 0.7406, loss_cls: 3.3741, loss: 3.3741 2023-12-28 08:43:35,483 - pyskl - INFO - Epoch [130][1900/3746] lr: 4.535e-03, eta: 13:25:00, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4864, top5_acc: 0.7336, loss_cls: 3.3594, loss: 3.3594 2023-12-28 08:44:35,255 - pyskl - INFO - Epoch [130][2000/3746] lr: 4.524e-03, eta: 13:23:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4752, top5_acc: 0.7291, loss_cls: 3.3958, loss: 3.3958 2023-12-28 08:45:34,958 - pyskl - INFO - Epoch [130][2100/3746] lr: 4.512e-03, eta: 13:22:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4797, top5_acc: 0.7336, loss_cls: 3.3621, loss: 3.3621 2023-12-28 08:46:34,632 - pyskl - INFO - Epoch [130][2200/3746] lr: 4.500e-03, eta: 13:21:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4811, top5_acc: 0.7348, loss_cls: 3.3757, loss: 3.3757 2023-12-28 08:47:34,589 - pyskl - INFO - Epoch [130][2300/3746] lr: 4.489e-03, eta: 13:20:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4719, top5_acc: 0.7295, loss_cls: 3.4128, loss: 3.4128 2023-12-28 08:48:34,579 - pyskl - INFO - Epoch [130][2400/3746] lr: 4.477e-03, eta: 13:19:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4856, top5_acc: 0.7303, loss_cls: 3.3627, loss: 3.3627 2023-12-28 08:49:33,979 - pyskl - INFO - Epoch [130][2500/3746] lr: 4.466e-03, eta: 13:18:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4791, top5_acc: 0.7291, loss_cls: 3.3811, loss: 3.3811 2023-12-28 08:50:33,789 - pyskl - INFO - Epoch [130][2600/3746] lr: 4.454e-03, eta: 13:17:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4792, top5_acc: 0.7327, loss_cls: 3.3588, loss: 3.3588 2023-12-28 08:51:33,591 - pyskl - INFO - Epoch [130][2700/3746] lr: 4.443e-03, eta: 13:16:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4791, top5_acc: 0.7239, loss_cls: 3.4068, loss: 3.4068 2023-12-28 08:52:32,850 - pyskl - INFO - Epoch [130][2800/3746] lr: 4.431e-03, eta: 13:15:30, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4731, top5_acc: 0.7286, loss_cls: 3.3972, loss: 3.3972 2023-12-28 08:53:32,050 - pyskl - INFO - Epoch [130][2900/3746] lr: 4.420e-03, eta: 13:14:26, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4809, top5_acc: 0.7303, loss_cls: 3.3808, loss: 3.3808 2023-12-28 08:54:31,620 - pyskl - INFO - Epoch [130][3000/3746] lr: 4.408e-03, eta: 13:13:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4714, top5_acc: 0.7236, loss_cls: 3.4306, loss: 3.4306 2023-12-28 08:55:31,064 - pyskl - INFO - Epoch [130][3100/3746] lr: 4.397e-03, eta: 13:12:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4700, top5_acc: 0.7266, loss_cls: 3.3964, loss: 3.3964 2023-12-28 08:56:30,508 - pyskl - INFO - Epoch [130][3200/3746] lr: 4.385e-03, eta: 13:11:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4841, top5_acc: 0.7325, loss_cls: 3.3552, loss: 3.3552 2023-12-28 08:57:29,886 - pyskl - INFO - Epoch [130][3300/3746] lr: 4.374e-03, eta: 13:10:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4864, top5_acc: 0.7294, loss_cls: 3.3689, loss: 3.3689 2023-12-28 08:58:29,605 - pyskl - INFO - Epoch [130][3400/3746] lr: 4.362e-03, eta: 13:09:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4778, top5_acc: 0.7300, loss_cls: 3.3799, loss: 3.3799 2023-12-28 08:59:29,338 - pyskl - INFO - Epoch [130][3500/3746] lr: 4.351e-03, eta: 13:08:05, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4666, top5_acc: 0.7194, loss_cls: 3.4381, loss: 3.4381 2023-12-28 09:00:29,006 - pyskl - INFO - Epoch [130][3600/3746] lr: 4.339e-03, eta: 13:07:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4870, top5_acc: 0.7406, loss_cls: 3.3337, loss: 3.3337 2023-12-28 09:01:28,628 - pyskl - INFO - Epoch [130][3700/3746] lr: 4.328e-03, eta: 13:05:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4894, top5_acc: 0.7333, loss_cls: 3.3905, loss: 3.3905 2023-12-28 09:01:58,676 - pyskl - INFO - Saving checkpoint at 130 epochs 2023-12-28 09:03:59,332 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 09:04:00,236 - pyskl - INFO - top1_acc 0.4004 top5_acc 0.6551 2023-12-28 09:04:00,236 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 09:04:00,275 - pyskl - INFO - mean_acc 0.4002 2023-12-28 09:04:00,283 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_129.pth was removed 2023-12-28 09:04:00,610 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. 2023-12-28 09:04:00,610 - pyskl - INFO - Best top1_acc is 0.4004 at 130 epoch. 2023-12-28 09:04:00,625 - pyskl - INFO - Epoch(val) [130][309] top1_acc: 0.4004, top5_acc: 0.6551, mean_class_accuracy: 0.4002 2023-12-28 09:07:27,429 - pyskl - INFO - Epoch [131][100/3746] lr: 4.311e-03, eta: 13:04:44, time: 2.068, data_time: 1.464, memory: 16177, top1_acc: 0.4950, top5_acc: 0.7525, loss_cls: 3.2683, loss: 3.2683 2023-12-28 09:08:27,268 - pyskl - INFO - Epoch [131][200/3746] lr: 4.300e-03, eta: 13:03:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5050, top5_acc: 0.7508, loss_cls: 3.2605, loss: 3.2605 2023-12-28 09:09:26,795 - pyskl - INFO - Epoch [131][300/3746] lr: 4.289e-03, eta: 13:02:38, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4952, top5_acc: 0.7497, loss_cls: 3.2769, loss: 3.2769 2023-12-28 09:10:27,269 - pyskl - INFO - Epoch [131][400/3746] lr: 4.277e-03, eta: 13:01:34, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4986, top5_acc: 0.7488, loss_cls: 3.2839, loss: 3.2839 2023-12-28 09:11:26,865 - pyskl - INFO - Epoch [131][500/3746] lr: 4.266e-03, eta: 13:00:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4895, top5_acc: 0.7348, loss_cls: 3.3356, loss: 3.3356 2023-12-28 09:12:26,341 - pyskl - INFO - Epoch [131][600/3746] lr: 4.255e-03, eta: 12:59:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4916, top5_acc: 0.7492, loss_cls: 3.2898, loss: 3.2898 2023-12-28 09:13:25,710 - pyskl - INFO - Epoch [131][700/3746] lr: 4.244e-03, eta: 12:58:24, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4945, top5_acc: 0.7497, loss_cls: 3.2909, loss: 3.2909 2023-12-28 09:14:25,261 - pyskl - INFO - Epoch [131][800/3746] lr: 4.232e-03, eta: 12:57:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4883, top5_acc: 0.7406, loss_cls: 3.3183, loss: 3.3183 2023-12-28 09:15:24,790 - pyskl - INFO - Epoch [131][900/3746] lr: 4.221e-03, eta: 12:56:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4989, top5_acc: 0.7355, loss_cls: 3.3388, loss: 3.3388 2023-12-28 09:16:24,396 - pyskl - INFO - Epoch [131][1000/3746] lr: 4.210e-03, eta: 12:55:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4903, top5_acc: 0.7352, loss_cls: 3.3461, loss: 3.3461 2023-12-28 09:17:23,877 - pyskl - INFO - Epoch [131][1100/3746] lr: 4.199e-03, eta: 12:54:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4798, top5_acc: 0.7416, loss_cls: 3.3456, loss: 3.3456 2023-12-28 09:18:23,436 - pyskl - INFO - Epoch [131][1200/3746] lr: 4.187e-03, eta: 12:53:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4956, top5_acc: 0.7412, loss_cls: 3.3143, loss: 3.3143 2023-12-28 09:19:22,858 - pyskl - INFO - Epoch [131][1300/3746] lr: 4.176e-03, eta: 12:52:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4908, top5_acc: 0.7427, loss_cls: 3.3349, loss: 3.3349 2023-12-28 09:20:22,353 - pyskl - INFO - Epoch [131][1400/3746] lr: 4.165e-03, eta: 12:51:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5002, top5_acc: 0.7458, loss_cls: 3.3000, loss: 3.3000 2023-12-28 09:21:21,813 - pyskl - INFO - Epoch [131][1500/3746] lr: 4.154e-03, eta: 12:49:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4789, top5_acc: 0.7403, loss_cls: 3.3484, loss: 3.3484 2023-12-28 09:22:21,746 - pyskl - INFO - Epoch [131][1600/3746] lr: 4.143e-03, eta: 12:48:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4916, top5_acc: 0.7481, loss_cls: 3.3358, loss: 3.3358 2023-12-28 09:23:21,600 - pyskl - INFO - Epoch [131][1700/3746] lr: 4.132e-03, eta: 12:47:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4883, top5_acc: 0.7338, loss_cls: 3.3420, loss: 3.3420 2023-12-28 09:24:21,523 - pyskl - INFO - Epoch [131][1800/3746] lr: 4.120e-03, eta: 12:46:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4883, top5_acc: 0.7427, loss_cls: 3.3328, loss: 3.3328 2023-12-28 09:25:21,666 - pyskl - INFO - Epoch [131][1900/3746] lr: 4.109e-03, eta: 12:45:43, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4809, top5_acc: 0.7338, loss_cls: 3.3906, loss: 3.3906 2023-12-28 09:26:21,293 - pyskl - INFO - Epoch [131][2000/3746] lr: 4.098e-03, eta: 12:44:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4894, top5_acc: 0.7392, loss_cls: 3.3452, loss: 3.3452 2023-12-28 09:27:20,892 - pyskl - INFO - Epoch [131][2100/3746] lr: 4.087e-03, eta: 12:43:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4863, top5_acc: 0.7361, loss_cls: 3.3480, loss: 3.3480 2023-12-28 09:28:20,473 - pyskl - INFO - Epoch [131][2200/3746] lr: 4.076e-03, eta: 12:42:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4897, top5_acc: 0.7388, loss_cls: 3.3537, loss: 3.3537 2023-12-28 09:29:20,199 - pyskl - INFO - Epoch [131][2300/3746] lr: 4.065e-03, eta: 12:41:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4744, top5_acc: 0.7345, loss_cls: 3.3696, loss: 3.3696 2023-12-28 09:30:20,265 - pyskl - INFO - Epoch [131][2400/3746] lr: 4.054e-03, eta: 12:40:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4736, top5_acc: 0.7323, loss_cls: 3.3601, loss: 3.3601 2023-12-28 09:31:19,813 - pyskl - INFO - Epoch [131][2500/3746] lr: 4.043e-03, eta: 12:39:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4952, top5_acc: 0.7411, loss_cls: 3.3379, loss: 3.3379 2023-12-28 09:32:19,519 - pyskl - INFO - Epoch [131][2600/3746] lr: 4.032e-03, eta: 12:38:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4825, top5_acc: 0.7319, loss_cls: 3.3654, loss: 3.3654 2023-12-28 09:33:19,280 - pyskl - INFO - Epoch [131][2700/3746] lr: 4.021e-03, eta: 12:37:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4914, top5_acc: 0.7348, loss_cls: 3.3692, loss: 3.3692 2023-12-28 09:34:18,471 - pyskl - INFO - Epoch [131][2800/3746] lr: 4.010e-03, eta: 12:36:12, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4855, top5_acc: 0.7398, loss_cls: 3.3395, loss: 3.3395 2023-12-28 09:35:17,748 - pyskl - INFO - Epoch [131][2900/3746] lr: 3.999e-03, eta: 12:35:09, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4872, top5_acc: 0.7381, loss_cls: 3.3397, loss: 3.3397 2023-12-28 09:36:16,952 - pyskl - INFO - Epoch [131][3000/3746] lr: 3.988e-03, eta: 12:34:05, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4852, top5_acc: 0.7336, loss_cls: 3.3568, loss: 3.3568 2023-12-28 09:37:16,396 - pyskl - INFO - Epoch [131][3100/3746] lr: 3.977e-03, eta: 12:33:02, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4869, top5_acc: 0.7403, loss_cls: 3.3656, loss: 3.3656 2023-12-28 09:38:16,703 - pyskl - INFO - Epoch [131][3200/3746] lr: 3.966e-03, eta: 12:31:59, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4747, top5_acc: 0.7356, loss_cls: 3.3872, loss: 3.3872 2023-12-28 09:39:16,701 - pyskl - INFO - Epoch [131][3300/3746] lr: 3.955e-03, eta: 12:30:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4817, top5_acc: 0.7269, loss_cls: 3.3821, loss: 3.3821 2023-12-28 09:40:17,608 - pyskl - INFO - Epoch [131][3400/3746] lr: 3.945e-03, eta: 12:29:52, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.4877, top5_acc: 0.7358, loss_cls: 3.3376, loss: 3.3376 2023-12-28 09:41:17,595 - pyskl - INFO - Epoch [131][3500/3746] lr: 3.934e-03, eta: 12:28:49, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4906, top5_acc: 0.7398, loss_cls: 3.3405, loss: 3.3405 2023-12-28 09:42:17,487 - pyskl - INFO - Epoch [131][3600/3746] lr: 3.923e-03, eta: 12:27:45, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4797, top5_acc: 0.7375, loss_cls: 3.3509, loss: 3.3509 2023-12-28 09:43:17,378 - pyskl - INFO - Epoch [131][3700/3746] lr: 3.912e-03, eta: 12:26:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4830, top5_acc: 0.7348, loss_cls: 3.3683, loss: 3.3683 2023-12-28 09:43:47,164 - pyskl - INFO - Saving checkpoint at 131 epochs 2023-12-28 09:45:50,406 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 09:45:51,457 - pyskl - INFO - top1_acc 0.4085 top5_acc 0.6599 2023-12-28 09:45:51,457 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 09:45:51,506 - pyskl - INFO - mean_acc 0.4082 2023-12-28 09:45:51,513 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_130.pth was removed 2023-12-28 09:45:51,809 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. 2023-12-28 09:45:51,810 - pyskl - INFO - Best top1_acc is 0.4085 at 131 epoch. 2023-12-28 09:45:51,819 - pyskl - INFO - Epoch(val) [131][309] top1_acc: 0.4085, top5_acc: 0.6599, mean_class_accuracy: 0.4082 2023-12-28 09:49:20,726 - pyskl - INFO - Epoch [132][100/3746] lr: 3.896e-03, eta: 12:25:27, time: 2.089, data_time: 1.485, memory: 16177, top1_acc: 0.5106, top5_acc: 0.7530, loss_cls: 3.2585, loss: 3.2585 2023-12-28 09:50:20,649 - pyskl - INFO - Epoch [132][200/3746] lr: 3.885e-03, eta: 12:24:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5109, top5_acc: 0.7583, loss_cls: 3.2434, loss: 3.2434 2023-12-28 09:51:20,002 - pyskl - INFO - Epoch [132][300/3746] lr: 3.875e-03, eta: 12:23:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5042, top5_acc: 0.7478, loss_cls: 3.2753, loss: 3.2753 2023-12-28 09:52:19,523 - pyskl - INFO - Epoch [132][400/3746] lr: 3.864e-03, eta: 12:22:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4952, top5_acc: 0.7494, loss_cls: 3.2857, loss: 3.2857 2023-12-28 09:53:18,871 - pyskl - INFO - Epoch [132][500/3746] lr: 3.853e-03, eta: 12:21:14, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5025, top5_acc: 0.7569, loss_cls: 3.2563, loss: 3.2563 2023-12-28 09:54:18,318 - pyskl - INFO - Epoch [132][600/3746] lr: 3.842e-03, eta: 12:20:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4902, top5_acc: 0.7408, loss_cls: 3.3607, loss: 3.3607 2023-12-28 09:55:17,998 - pyskl - INFO - Epoch [132][700/3746] lr: 3.831e-03, eta: 12:19:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4970, top5_acc: 0.7480, loss_cls: 3.2616, loss: 3.2616 2023-12-28 09:56:17,757 - pyskl - INFO - Epoch [132][800/3746] lr: 3.821e-03, eta: 12:18:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4938, top5_acc: 0.7464, loss_cls: 3.2997, loss: 3.2997 2023-12-28 09:57:17,031 - pyskl - INFO - Epoch [132][900/3746] lr: 3.810e-03, eta: 12:17:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5038, top5_acc: 0.7484, loss_cls: 3.2564, loss: 3.2564 2023-12-28 09:58:16,708 - pyskl - INFO - Epoch [132][1000/3746] lr: 3.799e-03, eta: 12:15:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4966, top5_acc: 0.7455, loss_cls: 3.2980, loss: 3.2980 2023-12-28 09:59:16,365 - pyskl - INFO - Epoch [132][1100/3746] lr: 3.789e-03, eta: 12:14:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5045, top5_acc: 0.7512, loss_cls: 3.2677, loss: 3.2677 2023-12-28 10:00:15,987 - pyskl - INFO - Epoch [132][1200/3746] lr: 3.778e-03, eta: 12:13:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5058, top5_acc: 0.7498, loss_cls: 3.2601, loss: 3.2601 2023-12-28 10:01:16,261 - pyskl - INFO - Epoch [132][1300/3746] lr: 3.767e-03, eta: 12:12:46, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4847, top5_acc: 0.7373, loss_cls: 3.3593, loss: 3.3593 2023-12-28 10:02:16,891 - pyskl - INFO - Epoch [132][1400/3746] lr: 3.757e-03, eta: 12:11:43, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.5003, top5_acc: 0.7439, loss_cls: 3.3049, loss: 3.3049 2023-12-28 10:03:16,615 - pyskl - INFO - Epoch [132][1500/3746] lr: 3.746e-03, eta: 12:10:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4994, top5_acc: 0.7519, loss_cls: 3.2749, loss: 3.2749 2023-12-28 10:04:16,089 - pyskl - INFO - Epoch [132][1600/3746] lr: 3.735e-03, eta: 12:09:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5002, top5_acc: 0.7472, loss_cls: 3.2893, loss: 3.2893 2023-12-28 10:05:15,727 - pyskl - INFO - Epoch [132][1700/3746] lr: 3.725e-03, eta: 12:08:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4886, top5_acc: 0.7352, loss_cls: 3.3335, loss: 3.3335 2023-12-28 10:06:15,678 - pyskl - INFO - Epoch [132][1800/3746] lr: 3.714e-03, eta: 12:07:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4895, top5_acc: 0.7448, loss_cls: 3.3113, loss: 3.3113 2023-12-28 10:07:16,456 - pyskl - INFO - Epoch [132][1900/3746] lr: 3.704e-03, eta: 12:06:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.4870, top5_acc: 0.7408, loss_cls: 3.3320, loss: 3.3320 2023-12-28 10:08:16,195 - pyskl - INFO - Epoch [132][2000/3746] lr: 3.693e-03, eta: 12:05:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4948, top5_acc: 0.7402, loss_cls: 3.2933, loss: 3.2933 2023-12-28 10:09:15,899 - pyskl - INFO - Epoch [132][2100/3746] lr: 3.683e-03, eta: 12:04:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4867, top5_acc: 0.7411, loss_cls: 3.3216, loss: 3.3216 2023-12-28 10:10:15,630 - pyskl - INFO - Epoch [132][2200/3746] lr: 3.672e-03, eta: 12:03:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4983, top5_acc: 0.7480, loss_cls: 3.2805, loss: 3.2805 2023-12-28 10:11:15,140 - pyskl - INFO - Epoch [132][2300/3746] lr: 3.662e-03, eta: 12:02:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4986, top5_acc: 0.7422, loss_cls: 3.3057, loss: 3.3057 2023-12-28 10:12:15,206 - pyskl - INFO - Epoch [132][2400/3746] lr: 3.651e-03, eta: 12:01:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4961, top5_acc: 0.7384, loss_cls: 3.3260, loss: 3.3260 2023-12-28 10:13:14,876 - pyskl - INFO - Epoch [132][2500/3746] lr: 3.641e-03, eta: 12:00:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4959, top5_acc: 0.7397, loss_cls: 3.3296, loss: 3.3296 2023-12-28 10:14:14,250 - pyskl - INFO - Epoch [132][2600/3746] lr: 3.630e-03, eta: 11:59:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4817, top5_acc: 0.7403, loss_cls: 3.3549, loss: 3.3549 2023-12-28 10:15:13,918 - pyskl - INFO - Epoch [132][2700/3746] lr: 3.620e-03, eta: 11:57:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4892, top5_acc: 0.7464, loss_cls: 3.3202, loss: 3.3202 2023-12-28 10:16:13,240 - pyskl - INFO - Epoch [132][2800/3746] lr: 3.609e-03, eta: 11:56:56, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4805, top5_acc: 0.7373, loss_cls: 3.3393, loss: 3.3393 2023-12-28 10:17:12,838 - pyskl - INFO - Epoch [132][2900/3746] lr: 3.599e-03, eta: 11:55:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4802, top5_acc: 0.7341, loss_cls: 3.3628, loss: 3.3628 2023-12-28 10:18:12,581 - pyskl - INFO - Epoch [132][3000/3746] lr: 3.588e-03, eta: 11:54:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4916, top5_acc: 0.7447, loss_cls: 3.2919, loss: 3.2919 2023-12-28 10:19:11,989 - pyskl - INFO - Epoch [132][3100/3746] lr: 3.578e-03, eta: 11:53:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4972, top5_acc: 0.7398, loss_cls: 3.3120, loss: 3.3120 2023-12-28 10:20:11,480 - pyskl - INFO - Epoch [132][3200/3746] lr: 3.568e-03, eta: 11:52:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5008, top5_acc: 0.7464, loss_cls: 3.2946, loss: 3.2946 2023-12-28 10:21:11,165 - pyskl - INFO - Epoch [132][3300/3746] lr: 3.557e-03, eta: 11:51:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4950, top5_acc: 0.7458, loss_cls: 3.2997, loss: 3.2997 2023-12-28 10:22:10,626 - pyskl - INFO - Epoch [132][3400/3746] lr: 3.547e-03, eta: 11:50:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4936, top5_acc: 0.7453, loss_cls: 3.3140, loss: 3.3140 2023-12-28 10:23:10,233 - pyskl - INFO - Epoch [132][3500/3746] lr: 3.537e-03, eta: 11:49:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4888, top5_acc: 0.7412, loss_cls: 3.3213, loss: 3.3213 2023-12-28 10:24:09,732 - pyskl - INFO - Epoch [132][3600/3746] lr: 3.526e-03, eta: 11:48:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4873, top5_acc: 0.7405, loss_cls: 3.3445, loss: 3.3445 2023-12-28 10:25:09,147 - pyskl - INFO - Epoch [132][3700/3746] lr: 3.516e-03, eta: 11:47:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4969, top5_acc: 0.7480, loss_cls: 3.2913, loss: 3.2913 2023-12-28 10:25:39,224 - pyskl - INFO - Saving checkpoint at 132 epochs 2023-12-28 10:27:37,856 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 10:27:38,741 - pyskl - INFO - top1_acc 0.3994 top5_acc 0.6567 2023-12-28 10:27:38,741 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 10:27:38,800 - pyskl - INFO - mean_acc 0.3991 2023-12-28 10:27:38,814 - pyskl - INFO - Epoch(val) [132][309] top1_acc: 0.3994, top5_acc: 0.6567, mean_class_accuracy: 0.3991 2023-12-28 10:31:06,221 - pyskl - INFO - Epoch [133][100/3746] lr: 3.501e-03, eta: 11:46:10, time: 2.074, data_time: 1.469, memory: 16177, top1_acc: 0.5241, top5_acc: 0.7598, loss_cls: 3.1969, loss: 3.1969 2023-12-28 10:32:05,409 - pyskl - INFO - Epoch [133][200/3746] lr: 3.491e-03, eta: 11:45:06, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5106, top5_acc: 0.7567, loss_cls: 3.2132, loss: 3.2132 2023-12-28 10:33:05,292 - pyskl - INFO - Epoch [133][300/3746] lr: 3.480e-03, eta: 11:44:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5056, top5_acc: 0.7547, loss_cls: 3.2524, loss: 3.2524 2023-12-28 10:34:05,169 - pyskl - INFO - Epoch [133][400/3746] lr: 3.470e-03, eta: 11:42:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5153, top5_acc: 0.7616, loss_cls: 3.2071, loss: 3.2071 2023-12-28 10:35:04,670 - pyskl - INFO - Epoch [133][500/3746] lr: 3.460e-03, eta: 11:41:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5175, top5_acc: 0.7594, loss_cls: 3.2377, loss: 3.2377 2023-12-28 10:36:04,184 - pyskl - INFO - Epoch [133][600/3746] lr: 3.450e-03, eta: 11:40:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5103, top5_acc: 0.7561, loss_cls: 3.2600, loss: 3.2600 2023-12-28 10:37:03,626 - pyskl - INFO - Epoch [133][700/3746] lr: 3.440e-03, eta: 11:39:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5016, top5_acc: 0.7533, loss_cls: 3.2533, loss: 3.2533 2023-12-28 10:38:03,652 - pyskl - INFO - Epoch [133][800/3746] lr: 3.429e-03, eta: 11:38:46, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4988, top5_acc: 0.7386, loss_cls: 3.3174, loss: 3.3174 2023-12-28 10:39:03,363 - pyskl - INFO - Epoch [133][900/3746] lr: 3.419e-03, eta: 11:37:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5009, top5_acc: 0.7498, loss_cls: 3.2618, loss: 3.2618 2023-12-28 10:40:02,999 - pyskl - INFO - Epoch [133][1000/3746] lr: 3.409e-03, eta: 11:36:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5128, top5_acc: 0.7631, loss_cls: 3.2409, loss: 3.2409 2023-12-28 10:41:02,635 - pyskl - INFO - Epoch [133][1100/3746] lr: 3.399e-03, eta: 11:35:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5044, top5_acc: 0.7517, loss_cls: 3.2593, loss: 3.2593 2023-12-28 10:42:02,343 - pyskl - INFO - Epoch [133][1200/3746] lr: 3.389e-03, eta: 11:34:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5091, top5_acc: 0.7569, loss_cls: 3.2428, loss: 3.2428 2023-12-28 10:43:02,060 - pyskl - INFO - Epoch [133][1300/3746] lr: 3.379e-03, eta: 11:33:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5050, top5_acc: 0.7470, loss_cls: 3.2759, loss: 3.2759 2023-12-28 10:44:01,475 - pyskl - INFO - Epoch [133][1400/3746] lr: 3.369e-03, eta: 11:32:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4863, top5_acc: 0.7441, loss_cls: 3.3243, loss: 3.3243 2023-12-28 10:45:01,118 - pyskl - INFO - Epoch [133][1500/3746] lr: 3.359e-03, eta: 11:31:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5066, top5_acc: 0.7555, loss_cls: 3.2519, loss: 3.2519 2023-12-28 10:46:00,758 - pyskl - INFO - Epoch [133][1600/3746] lr: 3.348e-03, eta: 11:30:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4998, top5_acc: 0.7506, loss_cls: 3.2746, loss: 3.2746 2023-12-28 10:47:00,517 - pyskl - INFO - Epoch [133][1700/3746] lr: 3.338e-03, eta: 11:29:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4991, top5_acc: 0.7445, loss_cls: 3.2772, loss: 3.2772 2023-12-28 10:48:00,361 - pyskl - INFO - Epoch [133][1800/3746] lr: 3.328e-03, eta: 11:28:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4878, top5_acc: 0.7428, loss_cls: 3.3069, loss: 3.3069 2023-12-28 10:49:00,803 - pyskl - INFO - Epoch [133][1900/3746] lr: 3.318e-03, eta: 11:27:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4992, top5_acc: 0.7492, loss_cls: 3.2881, loss: 3.2881 2023-12-28 10:50:00,889 - pyskl - INFO - Epoch [133][2000/3746] lr: 3.308e-03, eta: 11:26:06, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4927, top5_acc: 0.7520, loss_cls: 3.2933, loss: 3.2933 2023-12-28 10:51:00,347 - pyskl - INFO - Epoch [133][2100/3746] lr: 3.298e-03, eta: 11:25:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4980, top5_acc: 0.7559, loss_cls: 3.2707, loss: 3.2707 2023-12-28 10:52:00,056 - pyskl - INFO - Epoch [133][2200/3746] lr: 3.288e-03, eta: 11:23:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5058, top5_acc: 0.7527, loss_cls: 3.2596, loss: 3.2596 2023-12-28 10:52:59,688 - pyskl - INFO - Epoch [133][2300/3746] lr: 3.278e-03, eta: 11:22:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5141, top5_acc: 0.7538, loss_cls: 3.2562, loss: 3.2562 2023-12-28 10:53:59,616 - pyskl - INFO - Epoch [133][2400/3746] lr: 3.268e-03, eta: 11:21:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4998, top5_acc: 0.7477, loss_cls: 3.2831, loss: 3.2831 2023-12-28 10:54:59,472 - pyskl - INFO - Epoch [133][2500/3746] lr: 3.259e-03, eta: 11:20:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4967, top5_acc: 0.7511, loss_cls: 3.2745, loss: 3.2745 2023-12-28 10:55:59,220 - pyskl - INFO - Epoch [133][2600/3746] lr: 3.249e-03, eta: 11:19:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5028, top5_acc: 0.7547, loss_cls: 3.2626, loss: 3.2626 2023-12-28 10:56:59,332 - pyskl - INFO - Epoch [133][2700/3746] lr: 3.239e-03, eta: 11:18:43, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4852, top5_acc: 0.7467, loss_cls: 3.3203, loss: 3.3203 2023-12-28 10:57:58,680 - pyskl - INFO - Epoch [133][2800/3746] lr: 3.229e-03, eta: 11:17:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4892, top5_acc: 0.7480, loss_cls: 3.3061, loss: 3.3061 2023-12-28 10:58:58,025 - pyskl - INFO - Epoch [133][2900/3746] lr: 3.219e-03, eta: 11:16:36, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4981, top5_acc: 0.7470, loss_cls: 3.2542, loss: 3.2542 2023-12-28 10:59:57,777 - pyskl - INFO - Epoch [133][3000/3746] lr: 3.209e-03, eta: 11:15:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5061, top5_acc: 0.7528, loss_cls: 3.2602, loss: 3.2602 2023-12-28 11:00:57,921 - pyskl - INFO - Epoch [133][3100/3746] lr: 3.199e-03, eta: 11:14:29, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4870, top5_acc: 0.7403, loss_cls: 3.3369, loss: 3.3369 2023-12-28 11:01:57,615 - pyskl - INFO - Epoch [133][3200/3746] lr: 3.189e-03, eta: 11:13:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5042, top5_acc: 0.7455, loss_cls: 3.2733, loss: 3.2733 2023-12-28 11:02:57,271 - pyskl - INFO - Epoch [133][3300/3746] lr: 3.180e-03, eta: 11:12:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4906, top5_acc: 0.7530, loss_cls: 3.2816, loss: 3.2816 2023-12-28 11:03:56,976 - pyskl - INFO - Epoch [133][3400/3746] lr: 3.170e-03, eta: 11:11:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5081, top5_acc: 0.7530, loss_cls: 3.2565, loss: 3.2565 2023-12-28 11:04:56,952 - pyskl - INFO - Epoch [133][3500/3746] lr: 3.160e-03, eta: 11:10:16, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4975, top5_acc: 0.7448, loss_cls: 3.3117, loss: 3.3117 2023-12-28 11:05:56,654 - pyskl - INFO - Epoch [133][3600/3746] lr: 3.150e-03, eta: 11:09:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4908, top5_acc: 0.7470, loss_cls: 3.3084, loss: 3.3084 2023-12-28 11:06:56,223 - pyskl - INFO - Epoch [133][3700/3746] lr: 3.140e-03, eta: 11:08:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4989, top5_acc: 0.7462, loss_cls: 3.3096, loss: 3.3096 2023-12-28 11:07:26,262 - pyskl - INFO - Saving checkpoint at 133 epochs 2023-12-28 11:09:30,044 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 11:09:31,088 - pyskl - INFO - top1_acc 0.4129 top5_acc 0.6646 2023-12-28 11:09:31,088 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 11:09:31,128 - pyskl - INFO - mean_acc 0.4126 2023-12-28 11:09:31,134 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_131.pth was removed 2023-12-28 11:09:31,433 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. 2023-12-28 11:09:31,433 - pyskl - INFO - Best top1_acc is 0.4129 at 133 epoch. 2023-12-28 11:09:31,442 - pyskl - INFO - Epoch(val) [133][309] top1_acc: 0.4129, top5_acc: 0.6646, mean_class_accuracy: 0.4126 2023-12-28 11:12:56,786 - pyskl - INFO - Epoch [134][100/3746] lr: 3.126e-03, eta: 11:06:52, time: 2.053, data_time: 1.442, memory: 16177, top1_acc: 0.5303, top5_acc: 0.7711, loss_cls: 3.1474, loss: 3.1474 2023-12-28 11:13:56,331 - pyskl - INFO - Epoch [134][200/3746] lr: 3.117e-03, eta: 11:05:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5248, top5_acc: 0.7706, loss_cls: 3.1573, loss: 3.1573 2023-12-28 11:14:56,159 - pyskl - INFO - Epoch [134][300/3746] lr: 3.107e-03, eta: 11:04:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5164, top5_acc: 0.7669, loss_cls: 3.1991, loss: 3.1991 2023-12-28 11:15:56,073 - pyskl - INFO - Epoch [134][400/3746] lr: 3.097e-03, eta: 11:03:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5162, top5_acc: 0.7588, loss_cls: 3.2119, loss: 3.2119 2023-12-28 11:16:55,675 - pyskl - INFO - Epoch [134][500/3746] lr: 3.087e-03, eta: 11:02:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5016, top5_acc: 0.7542, loss_cls: 3.2662, loss: 3.2662 2023-12-28 11:17:55,307 - pyskl - INFO - Epoch [134][600/3746] lr: 3.078e-03, eta: 11:01:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5142, top5_acc: 0.7597, loss_cls: 3.2100, loss: 3.2100 2023-12-28 11:18:55,256 - pyskl - INFO - Epoch [134][700/3746] lr: 3.068e-03, eta: 11:00:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5191, top5_acc: 0.7620, loss_cls: 3.1993, loss: 3.1993 2023-12-28 11:19:54,844 - pyskl - INFO - Epoch [134][800/3746] lr: 3.059e-03, eta: 10:59:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5211, top5_acc: 0.7639, loss_cls: 3.1829, loss: 3.1829 2023-12-28 11:20:54,372 - pyskl - INFO - Epoch [134][900/3746] lr: 3.049e-03, eta: 10:58:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5175, top5_acc: 0.7581, loss_cls: 3.2163, loss: 3.2163 2023-12-28 11:21:53,998 - pyskl - INFO - Epoch [134][1000/3746] lr: 3.039e-03, eta: 10:57:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4909, top5_acc: 0.7439, loss_cls: 3.3063, loss: 3.3063 2023-12-28 11:22:53,422 - pyskl - INFO - Epoch [134][1100/3746] lr: 3.030e-03, eta: 10:56:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5098, top5_acc: 0.7611, loss_cls: 3.2117, loss: 3.2117 2023-12-28 11:23:53,103 - pyskl - INFO - Epoch [134][1200/3746] lr: 3.020e-03, eta: 10:55:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5144, top5_acc: 0.7611, loss_cls: 3.1991, loss: 3.1991 2023-12-28 11:24:52,744 - pyskl - INFO - Epoch [134][1300/3746] lr: 3.011e-03, eta: 10:54:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5189, top5_acc: 0.7616, loss_cls: 3.2290, loss: 3.2290 2023-12-28 11:25:52,764 - pyskl - INFO - Epoch [134][1400/3746] lr: 3.001e-03, eta: 10:53:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5045, top5_acc: 0.7498, loss_cls: 3.2604, loss: 3.2604 2023-12-28 11:26:52,685 - pyskl - INFO - Epoch [134][1500/3746] lr: 2.991e-03, eta: 10:52:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5070, top5_acc: 0.7603, loss_cls: 3.2432, loss: 3.2432 2023-12-28 11:27:53,319 - pyskl - INFO - Epoch [134][1600/3746] lr: 2.982e-03, eta: 10:51:02, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.5089, top5_acc: 0.7570, loss_cls: 3.2385, loss: 3.2385 2023-12-28 11:28:53,244 - pyskl - INFO - Epoch [134][1700/3746] lr: 2.972e-03, eta: 10:49:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4995, top5_acc: 0.7528, loss_cls: 3.2680, loss: 3.2680 2023-12-28 11:29:53,002 - pyskl - INFO - Epoch [134][1800/3746] lr: 2.963e-03, eta: 10:48:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5083, top5_acc: 0.7547, loss_cls: 3.2522, loss: 3.2522 2023-12-28 11:30:53,812 - pyskl - INFO - Epoch [134][1900/3746] lr: 2.953e-03, eta: 10:47:52, time: 0.608, data_time: 0.001, memory: 16177, top1_acc: 0.5078, top5_acc: 0.7570, loss_cls: 3.2371, loss: 3.2371 2023-12-28 11:31:53,258 - pyskl - INFO - Epoch [134][2000/3746] lr: 2.944e-03, eta: 10:46:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5125, top5_acc: 0.7652, loss_cls: 3.2207, loss: 3.2207 2023-12-28 11:32:52,881 - pyskl - INFO - Epoch [134][2100/3746] lr: 2.935e-03, eta: 10:45:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5138, top5_acc: 0.7594, loss_cls: 3.2274, loss: 3.2274 2023-12-28 11:33:52,790 - pyskl - INFO - Epoch [134][2200/3746] lr: 2.925e-03, eta: 10:44:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5058, top5_acc: 0.7473, loss_cls: 3.2841, loss: 3.2841 2023-12-28 11:34:52,815 - pyskl - INFO - Epoch [134][2300/3746] lr: 2.916e-03, eta: 10:43:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4925, top5_acc: 0.7523, loss_cls: 3.2610, loss: 3.2610 2023-12-28 11:35:53,661 - pyskl - INFO - Epoch [134][2400/3746] lr: 2.906e-03, eta: 10:42:36, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.5011, top5_acc: 0.7497, loss_cls: 3.2790, loss: 3.2790 2023-12-28 11:36:53,732 - pyskl - INFO - Epoch [134][2500/3746] lr: 2.897e-03, eta: 10:41:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5033, top5_acc: 0.7464, loss_cls: 3.2631, loss: 3.2631 2023-12-28 11:37:53,318 - pyskl - INFO - Epoch [134][2600/3746] lr: 2.888e-03, eta: 10:40:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5092, top5_acc: 0.7586, loss_cls: 3.2312, loss: 3.2312 2023-12-28 11:38:52,647 - pyskl - INFO - Epoch [134][2700/3746] lr: 2.878e-03, eta: 10:39:26, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5031, top5_acc: 0.7594, loss_cls: 3.2418, loss: 3.2418 2023-12-28 11:39:52,223 - pyskl - INFO - Epoch [134][2800/3746] lr: 2.869e-03, eta: 10:38:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5070, top5_acc: 0.7625, loss_cls: 3.2225, loss: 3.2225 2023-12-28 11:40:51,839 - pyskl - INFO - Epoch [134][2900/3746] lr: 2.860e-03, eta: 10:37:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5067, top5_acc: 0.7462, loss_cls: 3.2536, loss: 3.2536 2023-12-28 11:41:51,050 - pyskl - INFO - Epoch [134][3000/3746] lr: 2.850e-03, eta: 10:36:16, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4884, top5_acc: 0.7464, loss_cls: 3.3012, loss: 3.3012 2023-12-28 11:42:50,671 - pyskl - INFO - Epoch [134][3100/3746] lr: 2.841e-03, eta: 10:35:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5086, top5_acc: 0.7538, loss_cls: 3.2559, loss: 3.2559 2023-12-28 11:43:50,780 - pyskl - INFO - Epoch [134][3200/3746] lr: 2.832e-03, eta: 10:34:09, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5150, top5_acc: 0.7623, loss_cls: 3.2070, loss: 3.2070 2023-12-28 11:44:50,949 - pyskl - INFO - Epoch [134][3300/3746] lr: 2.822e-03, eta: 10:33:06, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4998, top5_acc: 0.7566, loss_cls: 3.2450, loss: 3.2450 2023-12-28 11:45:51,446 - pyskl - INFO - Epoch [134][3400/3746] lr: 2.813e-03, eta: 10:32:03, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.5058, top5_acc: 0.7533, loss_cls: 3.2538, loss: 3.2538 2023-12-28 11:46:51,087 - pyskl - INFO - Epoch [134][3500/3746] lr: 2.804e-03, eta: 10:31:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5030, top5_acc: 0.7466, loss_cls: 3.2599, loss: 3.2599 2023-12-28 11:47:50,637 - pyskl - INFO - Epoch [134][3600/3746] lr: 2.795e-03, eta: 10:29:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5098, top5_acc: 0.7480, loss_cls: 3.2503, loss: 3.2503 2023-12-28 11:48:50,223 - pyskl - INFO - Epoch [134][3700/3746] lr: 2.786e-03, eta: 10:28:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5102, top5_acc: 0.7553, loss_cls: 3.2367, loss: 3.2367 2023-12-28 11:49:19,636 - pyskl - INFO - Saving checkpoint at 134 epochs 2023-12-28 11:51:21,153 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 11:51:22,068 - pyskl - INFO - top1_acc 0.4079 top5_acc 0.6599 2023-12-28 11:51:22,068 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 11:51:22,125 - pyskl - INFO - mean_acc 0.4077 2023-12-28 11:51:22,138 - pyskl - INFO - Epoch(val) [134][309] top1_acc: 0.4079, top5_acc: 0.6599, mean_class_accuracy: 0.4077 2023-12-28 11:54:53,005 - pyskl - INFO - Epoch [135][100/3746] lr: 2.772e-03, eta: 10:27:35, time: 2.108, data_time: 1.495, memory: 16177, top1_acc: 0.5283, top5_acc: 0.7755, loss_cls: 3.1397, loss: 3.1397 2023-12-28 11:55:52,913 - pyskl - INFO - Epoch [135][200/3746] lr: 2.763e-03, eta: 10:26:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5281, top5_acc: 0.7680, loss_cls: 3.1471, loss: 3.1471 2023-12-28 11:56:52,692 - pyskl - INFO - Epoch [135][300/3746] lr: 2.754e-03, eta: 10:25:29, time: 0.598, data_time: 0.001, memory: 16177, top1_acc: 0.5152, top5_acc: 0.7689, loss_cls: 3.1495, loss: 3.1495 2023-12-28 11:57:52,749 - pyskl - INFO - Epoch [135][400/3746] lr: 2.745e-03, eta: 10:24:26, time: 0.601, data_time: 0.001, memory: 16177, top1_acc: 0.5169, top5_acc: 0.7653, loss_cls: 3.1901, loss: 3.1901 2023-12-28 11:58:52,630 - pyskl - INFO - Epoch [135][500/3746] lr: 2.735e-03, eta: 10:23:22, time: 0.599, data_time: 0.001, memory: 16177, top1_acc: 0.5052, top5_acc: 0.7539, loss_cls: 3.2445, loss: 3.2445 2023-12-28 11:59:52,405 - pyskl - INFO - Epoch [135][600/3746] lr: 2.726e-03, eta: 10:22:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5189, top5_acc: 0.7647, loss_cls: 3.1935, loss: 3.1935 2023-12-28 12:00:51,954 - pyskl - INFO - Epoch [135][700/3746] lr: 2.717e-03, eta: 10:21:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5175, top5_acc: 0.7634, loss_cls: 3.1579, loss: 3.1579 2023-12-28 12:01:51,575 - pyskl - INFO - Epoch [135][800/3746] lr: 2.708e-03, eta: 10:20:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5247, top5_acc: 0.7666, loss_cls: 3.1788, loss: 3.1788 2023-12-28 12:02:51,823 - pyskl - INFO - Epoch [135][900/3746] lr: 2.699e-03, eta: 10:19:09, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5230, top5_acc: 0.7653, loss_cls: 3.1718, loss: 3.1718 2023-12-28 12:03:51,549 - pyskl - INFO - Epoch [135][1000/3746] lr: 2.690e-03, eta: 10:18:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5197, top5_acc: 0.7656, loss_cls: 3.1892, loss: 3.1892 2023-12-28 12:04:51,161 - pyskl - INFO - Epoch [135][1100/3746] lr: 2.681e-03, eta: 10:17:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5158, top5_acc: 0.7580, loss_cls: 3.2132, loss: 3.2132 2023-12-28 12:05:50,740 - pyskl - INFO - Epoch [135][1200/3746] lr: 2.672e-03, eta: 10:15:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5206, top5_acc: 0.7681, loss_cls: 3.1643, loss: 3.1643 2023-12-28 12:06:50,569 - pyskl - INFO - Epoch [135][1300/3746] lr: 2.663e-03, eta: 10:14:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5180, top5_acc: 0.7605, loss_cls: 3.2166, loss: 3.2166 2023-12-28 12:07:50,558 - pyskl - INFO - Epoch [135][1400/3746] lr: 2.654e-03, eta: 10:13:53, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5275, top5_acc: 0.7767, loss_cls: 3.1413, loss: 3.1413 2023-12-28 12:08:50,557 - pyskl - INFO - Epoch [135][1500/3746] lr: 2.645e-03, eta: 10:12:49, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5080, top5_acc: 0.7606, loss_cls: 3.2191, loss: 3.2191 2023-12-28 12:09:51,132 - pyskl - INFO - Epoch [135][1600/3746] lr: 2.636e-03, eta: 10:11:46, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.5261, top5_acc: 0.7611, loss_cls: 3.2014, loss: 3.2014 2023-12-28 12:10:50,684 - pyskl - INFO - Epoch [135][1700/3746] lr: 2.627e-03, eta: 10:10:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5147, top5_acc: 0.7678, loss_cls: 3.1829, loss: 3.1829 2023-12-28 12:11:50,471 - pyskl - INFO - Epoch [135][1800/3746] lr: 2.618e-03, eta: 10:09:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5209, top5_acc: 0.7697, loss_cls: 3.1653, loss: 3.1653 2023-12-28 12:12:51,417 - pyskl - INFO - Epoch [135][1900/3746] lr: 2.609e-03, eta: 10:08:36, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.5244, top5_acc: 0.7694, loss_cls: 3.1919, loss: 3.1919 2023-12-28 12:13:50,958 - pyskl - INFO - Epoch [135][2000/3746] lr: 2.600e-03, eta: 10:07:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5130, top5_acc: 0.7647, loss_cls: 3.1869, loss: 3.1869 2023-12-28 12:14:50,410 - pyskl - INFO - Epoch [135][2100/3746] lr: 2.591e-03, eta: 10:06:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5158, top5_acc: 0.7641, loss_cls: 3.2039, loss: 3.2039 2023-12-28 12:15:50,242 - pyskl - INFO - Epoch [135][2200/3746] lr: 2.583e-03, eta: 10:05:26, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5219, top5_acc: 0.7688, loss_cls: 3.1738, loss: 3.1738 2023-12-28 12:16:50,246 - pyskl - INFO - Epoch [135][2300/3746] lr: 2.574e-03, eta: 10:04:23, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5075, top5_acc: 0.7544, loss_cls: 3.2465, loss: 3.2465 2023-12-28 12:17:50,515 - pyskl - INFO - Epoch [135][2400/3746] lr: 2.565e-03, eta: 10:03:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5156, top5_acc: 0.7633, loss_cls: 3.1977, loss: 3.1977 2023-12-28 12:18:50,825 - pyskl - INFO - Epoch [135][2500/3746] lr: 2.556e-03, eta: 10:02:17, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5084, top5_acc: 0.7548, loss_cls: 3.2498, loss: 3.2498 2023-12-28 12:19:50,283 - pyskl - INFO - Epoch [135][2600/3746] lr: 2.547e-03, eta: 10:01:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5098, top5_acc: 0.7731, loss_cls: 3.1862, loss: 3.1862 2023-12-28 12:20:50,260 - pyskl - INFO - Epoch [135][2700/3746] lr: 2.538e-03, eta: 10:00:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5127, top5_acc: 0.7594, loss_cls: 3.2130, loss: 3.2130 2023-12-28 12:21:49,648 - pyskl - INFO - Epoch [135][2800/3746] lr: 2.530e-03, eta: 9:59:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5062, top5_acc: 0.7547, loss_cls: 3.2434, loss: 3.2434 2023-12-28 12:22:49,091 - pyskl - INFO - Epoch [135][2900/3746] lr: 2.521e-03, eta: 9:58:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5127, top5_acc: 0.7605, loss_cls: 3.2091, loss: 3.2091 2023-12-28 12:23:48,650 - pyskl - INFO - Epoch [135][3000/3746] lr: 2.512e-03, eta: 9:57:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5164, top5_acc: 0.7573, loss_cls: 3.2088, loss: 3.2088 2023-12-28 12:24:48,313 - pyskl - INFO - Epoch [135][3100/3746] lr: 2.503e-03, eta: 9:55:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5134, top5_acc: 0.7680, loss_cls: 3.1923, loss: 3.1923 2023-12-28 12:25:48,521 - pyskl - INFO - Epoch [135][3200/3746] lr: 2.495e-03, eta: 9:54:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5167, top5_acc: 0.7609, loss_cls: 3.2184, loss: 3.2184 2023-12-28 12:26:48,040 - pyskl - INFO - Epoch [135][3300/3746] lr: 2.486e-03, eta: 9:53:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5070, top5_acc: 0.7530, loss_cls: 3.2401, loss: 3.2401 2023-12-28 12:27:47,628 - pyskl - INFO - Epoch [135][3400/3746] lr: 2.477e-03, eta: 9:52:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5203, top5_acc: 0.7670, loss_cls: 3.1803, loss: 3.1803 2023-12-28 12:28:47,214 - pyskl - INFO - Epoch [135][3500/3746] lr: 2.469e-03, eta: 9:51:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5078, top5_acc: 0.7673, loss_cls: 3.2110, loss: 3.2110 2023-12-28 12:29:46,686 - pyskl - INFO - Epoch [135][3600/3746] lr: 2.460e-03, eta: 9:50:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5152, top5_acc: 0.7633, loss_cls: 3.2144, loss: 3.2144 2023-12-28 12:30:46,348 - pyskl - INFO - Epoch [135][3700/3746] lr: 2.451e-03, eta: 9:49:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5167, top5_acc: 0.7509, loss_cls: 3.2252, loss: 3.2252 2023-12-28 12:31:16,306 - pyskl - INFO - Saving checkpoint at 135 epochs 2023-12-28 12:33:18,679 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 12:33:19,738 - pyskl - INFO - top1_acc 0.4137 top5_acc 0.6673 2023-12-28 12:33:19,738 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 12:33:19,791 - pyskl - INFO - mean_acc 0.4134 2023-12-28 12:33:19,802 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_133.pth was removed 2023-12-28 12:33:20,136 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. 2023-12-28 12:33:20,137 - pyskl - INFO - Best top1_acc is 0.4137 at 135 epoch. 2023-12-28 12:33:20,148 - pyskl - INFO - Epoch(val) [135][309] top1_acc: 0.4137, top5_acc: 0.6673, mean_class_accuracy: 0.4134 2023-12-28 12:36:47,465 - pyskl - INFO - Epoch [136][100/3746] lr: 2.439e-03, eta: 9:48:18, time: 2.073, data_time: 1.468, memory: 16177, top1_acc: 0.5250, top5_acc: 0.7705, loss_cls: 3.1619, loss: 3.1619 2023-12-28 12:37:46,997 - pyskl - INFO - Epoch [136][200/3746] lr: 2.430e-03, eta: 9:47:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5392, top5_acc: 0.7767, loss_cls: 3.1303, loss: 3.1303 2023-12-28 12:38:46,853 - pyskl - INFO - Epoch [136][300/3746] lr: 2.421e-03, eta: 9:46:12, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5312, top5_acc: 0.7773, loss_cls: 3.1518, loss: 3.1518 2023-12-28 12:39:46,821 - pyskl - INFO - Epoch [136][400/3746] lr: 2.413e-03, eta: 9:45:08, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5409, top5_acc: 0.7845, loss_cls: 3.0779, loss: 3.0779 2023-12-28 12:40:46,332 - pyskl - INFO - Epoch [136][500/3746] lr: 2.404e-03, eta: 9:44:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5219, top5_acc: 0.7722, loss_cls: 3.1430, loss: 3.1430 2023-12-28 12:41:45,648 - pyskl - INFO - Epoch [136][600/3746] lr: 2.396e-03, eta: 9:43:02, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5291, top5_acc: 0.7778, loss_cls: 3.1277, loss: 3.1277 2023-12-28 12:42:45,277 - pyskl - INFO - Epoch [136][700/3746] lr: 2.387e-03, eta: 9:41:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5173, top5_acc: 0.7680, loss_cls: 3.1811, loss: 3.1811 2023-12-28 12:43:44,626 - pyskl - INFO - Epoch [136][800/3746] lr: 2.379e-03, eta: 9:40:55, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5277, top5_acc: 0.7655, loss_cls: 3.1493, loss: 3.1493 2023-12-28 12:44:44,245 - pyskl - INFO - Epoch [136][900/3746] lr: 2.370e-03, eta: 9:39:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5350, top5_acc: 0.7736, loss_cls: 3.1171, loss: 3.1171 2023-12-28 12:45:43,370 - pyskl - INFO - Epoch [136][1000/3746] lr: 2.362e-03, eta: 9:38:49, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5391, top5_acc: 0.7678, loss_cls: 3.1289, loss: 3.1289 2023-12-28 12:46:42,700 - pyskl - INFO - Epoch [136][1100/3746] lr: 2.353e-03, eta: 9:37:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5170, top5_acc: 0.7655, loss_cls: 3.1809, loss: 3.1809 2023-12-28 12:47:42,188 - pyskl - INFO - Epoch [136][1200/3746] lr: 2.345e-03, eta: 9:36:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5292, top5_acc: 0.7703, loss_cls: 3.1694, loss: 3.1694 2023-12-28 12:48:41,493 - pyskl - INFO - Epoch [136][1300/3746] lr: 2.336e-03, eta: 9:35:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5291, top5_acc: 0.7755, loss_cls: 3.1102, loss: 3.1102 2023-12-28 12:49:41,274 - pyskl - INFO - Epoch [136][1400/3746] lr: 2.328e-03, eta: 9:34:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5331, top5_acc: 0.7769, loss_cls: 3.1252, loss: 3.1252 2023-12-28 12:50:41,269 - pyskl - INFO - Epoch [136][1500/3746] lr: 2.319e-03, eta: 9:33:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5119, top5_acc: 0.7553, loss_cls: 3.2298, loss: 3.2298 2023-12-28 12:51:41,679 - pyskl - INFO - Epoch [136][1600/3746] lr: 2.311e-03, eta: 9:32:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.5361, top5_acc: 0.7709, loss_cls: 3.1352, loss: 3.1352 2023-12-28 12:52:41,362 - pyskl - INFO - Epoch [136][1700/3746] lr: 2.303e-03, eta: 9:31:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5258, top5_acc: 0.7664, loss_cls: 3.1800, loss: 3.1800 2023-12-28 12:53:41,147 - pyskl - INFO - Epoch [136][1800/3746] lr: 2.294e-03, eta: 9:30:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5275, top5_acc: 0.7706, loss_cls: 3.1450, loss: 3.1450 2023-12-28 12:54:42,234 - pyskl - INFO - Epoch [136][1900/3746] lr: 2.286e-03, eta: 9:29:19, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.5303, top5_acc: 0.7775, loss_cls: 3.1248, loss: 3.1248 2023-12-28 12:55:41,772 - pyskl - INFO - Epoch [136][2000/3746] lr: 2.277e-03, eta: 9:28:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5105, top5_acc: 0.7678, loss_cls: 3.1936, loss: 3.1936 2023-12-28 12:56:41,109 - pyskl - INFO - Epoch [136][2100/3746] lr: 2.269e-03, eta: 9:27:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5244, top5_acc: 0.7691, loss_cls: 3.1680, loss: 3.1680 2023-12-28 12:57:40,564 - pyskl - INFO - Epoch [136][2200/3746] lr: 2.261e-03, eta: 9:26:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5330, top5_acc: 0.7727, loss_cls: 3.1401, loss: 3.1401 2023-12-28 12:58:40,338 - pyskl - INFO - Epoch [136][2300/3746] lr: 2.253e-03, eta: 9:25:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5131, top5_acc: 0.7698, loss_cls: 3.1905, loss: 3.1905 2023-12-28 12:59:40,789 - pyskl - INFO - Epoch [136][2400/3746] lr: 2.244e-03, eta: 9:24:03, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.5334, top5_acc: 0.7750, loss_cls: 3.1252, loss: 3.1252 2023-12-28 13:00:41,133 - pyskl - INFO - Epoch [136][2500/3746] lr: 2.236e-03, eta: 9:23:00, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5323, top5_acc: 0.7756, loss_cls: 3.1369, loss: 3.1369 2023-12-28 13:01:40,763 - pyskl - INFO - Epoch [136][2600/3746] lr: 2.228e-03, eta: 9:21:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5277, top5_acc: 0.7767, loss_cls: 3.1487, loss: 3.1487 2023-12-28 13:02:40,600 - pyskl - INFO - Epoch [136][2700/3746] lr: 2.219e-03, eta: 9:20:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5131, top5_acc: 0.7619, loss_cls: 3.2266, loss: 3.2266 2023-12-28 13:03:40,754 - pyskl - INFO - Epoch [136][2800/3746] lr: 2.211e-03, eta: 9:19:50, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5220, top5_acc: 0.7661, loss_cls: 3.1773, loss: 3.1773 2023-12-28 13:04:41,377 - pyskl - INFO - Epoch [136][2900/3746] lr: 2.203e-03, eta: 9:18:47, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.5239, top5_acc: 0.7736, loss_cls: 3.1454, loss: 3.1454 2023-12-28 13:05:41,550 - pyskl - INFO - Epoch [136][3000/3746] lr: 2.195e-03, eta: 9:17:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5250, top5_acc: 0.7650, loss_cls: 3.1749, loss: 3.1749 2023-12-28 13:06:41,114 - pyskl - INFO - Epoch [136][3100/3746] lr: 2.187e-03, eta: 9:16:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5262, top5_acc: 0.7658, loss_cls: 3.1490, loss: 3.1490 2023-12-28 13:07:41,358 - pyskl - INFO - Epoch [136][3200/3746] lr: 2.178e-03, eta: 9:15:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5192, top5_acc: 0.7667, loss_cls: 3.1725, loss: 3.1725 2023-12-28 13:08:40,774 - pyskl - INFO - Epoch [136][3300/3746] lr: 2.170e-03, eta: 9:14:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5253, top5_acc: 0.7609, loss_cls: 3.1771, loss: 3.1771 2023-12-28 13:09:41,054 - pyskl - INFO - Epoch [136][3400/3746] lr: 2.162e-03, eta: 9:13:31, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5219, top5_acc: 0.7656, loss_cls: 3.1785, loss: 3.1785 2023-12-28 13:10:41,761 - pyskl - INFO - Epoch [136][3500/3746] lr: 2.154e-03, eta: 9:12:28, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.5144, top5_acc: 0.7592, loss_cls: 3.2027, loss: 3.2027 2023-12-28 13:11:42,474 - pyskl - INFO - Epoch [136][3600/3746] lr: 2.146e-03, eta: 9:11:25, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.5100, top5_acc: 0.7602, loss_cls: 3.2295, loss: 3.2295 2023-12-28 13:12:42,102 - pyskl - INFO - Epoch [136][3700/3746] lr: 2.138e-03, eta: 9:10:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5227, top5_acc: 0.7661, loss_cls: 3.1674, loss: 3.1674 2023-12-28 13:13:11,668 - pyskl - INFO - Saving checkpoint at 136 epochs 2023-12-28 13:15:13,904 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 13:15:14,959 - pyskl - INFO - top1_acc 0.4243 top5_acc 0.6723 2023-12-28 13:15:14,960 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 13:15:15,000 - pyskl - INFO - mean_acc 0.4241 2023-12-28 13:15:15,006 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_135.pth was removed 2023-12-28 13:15:15,305 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. 2023-12-28 13:15:15,306 - pyskl - INFO - Best top1_acc is 0.4243 at 136 epoch. 2023-12-28 13:15:15,315 - pyskl - INFO - Epoch(val) [136][309] top1_acc: 0.4243, top5_acc: 0.6723, mean_class_accuracy: 0.4241 2023-12-28 13:18:38,273 - pyskl - INFO - Epoch [137][100/3746] lr: 2.126e-03, eta: 9:09:01, time: 2.029, data_time: 1.424, memory: 16177, top1_acc: 0.5411, top5_acc: 0.7741, loss_cls: 3.0854, loss: 3.0854 2023-12-28 13:19:38,539 - pyskl - INFO - Epoch [137][200/3746] lr: 2.118e-03, eta: 9:07:58, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5378, top5_acc: 0.7764, loss_cls: 3.1071, loss: 3.1071 2023-12-28 13:20:38,409 - pyskl - INFO - Epoch [137][300/3746] lr: 2.110e-03, eta: 9:06:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5427, top5_acc: 0.7806, loss_cls: 3.0793, loss: 3.0793 2023-12-28 13:21:38,072 - pyskl - INFO - Epoch [137][400/3746] lr: 2.102e-03, eta: 9:05:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5487, top5_acc: 0.7864, loss_cls: 3.0513, loss: 3.0513 2023-12-28 13:22:37,703 - pyskl - INFO - Epoch [137][500/3746] lr: 2.094e-03, eta: 9:04:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5402, top5_acc: 0.7858, loss_cls: 3.0932, loss: 3.0932 2023-12-28 13:23:37,242 - pyskl - INFO - Epoch [137][600/3746] lr: 2.086e-03, eta: 9:03:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5331, top5_acc: 0.7658, loss_cls: 3.1315, loss: 3.1315 2023-12-28 13:24:37,483 - pyskl - INFO - Epoch [137][700/3746] lr: 2.078e-03, eta: 9:02:41, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5314, top5_acc: 0.7786, loss_cls: 3.1252, loss: 3.1252 2023-12-28 13:25:37,315 - pyskl - INFO - Epoch [137][800/3746] lr: 2.070e-03, eta: 9:01:38, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5348, top5_acc: 0.7866, loss_cls: 3.0747, loss: 3.0747 2023-12-28 13:26:37,209 - pyskl - INFO - Epoch [137][900/3746] lr: 2.062e-03, eta: 9:00:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5256, top5_acc: 0.7695, loss_cls: 3.1494, loss: 3.1494 2023-12-28 13:27:36,853 - pyskl - INFO - Epoch [137][1000/3746] lr: 2.054e-03, eta: 8:59:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5380, top5_acc: 0.7903, loss_cls: 3.0696, loss: 3.0696 2023-12-28 13:28:36,318 - pyskl - INFO - Epoch [137][1100/3746] lr: 2.046e-03, eta: 8:58:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5356, top5_acc: 0.7778, loss_cls: 3.1333, loss: 3.1333 2023-12-28 13:29:35,634 - pyskl - INFO - Epoch [137][1200/3746] lr: 2.038e-03, eta: 8:57:25, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5283, top5_acc: 0.7727, loss_cls: 3.1281, loss: 3.1281 2023-12-28 13:30:35,082 - pyskl - INFO - Epoch [137][1300/3746] lr: 2.030e-03, eta: 8:56:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5312, top5_acc: 0.7814, loss_cls: 3.1126, loss: 3.1126 2023-12-28 13:31:34,943 - pyskl - INFO - Epoch [137][1400/3746] lr: 2.022e-03, eta: 8:55:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5292, top5_acc: 0.7658, loss_cls: 3.1300, loss: 3.1300 2023-12-28 13:32:34,801 - pyskl - INFO - Epoch [137][1500/3746] lr: 2.015e-03, eta: 8:54:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5392, top5_acc: 0.7822, loss_cls: 3.1137, loss: 3.1137 2023-12-28 13:33:34,278 - pyskl - INFO - Epoch [137][1600/3746] lr: 2.007e-03, eta: 8:53:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5216, top5_acc: 0.7612, loss_cls: 3.1969, loss: 3.1969 2023-12-28 13:34:33,809 - pyskl - INFO - Epoch [137][1700/3746] lr: 1.999e-03, eta: 8:52:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5367, top5_acc: 0.7789, loss_cls: 3.1245, loss: 3.1245 2023-12-28 13:35:33,404 - pyskl - INFO - Epoch [137][1800/3746] lr: 1.991e-03, eta: 8:51:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5289, top5_acc: 0.7775, loss_cls: 3.1329, loss: 3.1329 2023-12-28 13:36:33,421 - pyskl - INFO - Epoch [137][1900/3746] lr: 1.983e-03, eta: 8:50:02, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5308, top5_acc: 0.7808, loss_cls: 3.1092, loss: 3.1092 2023-12-28 13:37:33,597 - pyskl - INFO - Epoch [137][2000/3746] lr: 1.976e-03, eta: 8:48:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5286, top5_acc: 0.7723, loss_cls: 3.1438, loss: 3.1438 2023-12-28 13:38:33,316 - pyskl - INFO - Epoch [137][2100/3746] lr: 1.968e-03, eta: 8:47:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5291, top5_acc: 0.7722, loss_cls: 3.1380, loss: 3.1380 2023-12-28 13:39:33,280 - pyskl - INFO - Epoch [137][2200/3746] lr: 1.960e-03, eta: 8:46:53, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5358, top5_acc: 0.7797, loss_cls: 3.1108, loss: 3.1108 2023-12-28 13:40:32,826 - pyskl - INFO - Epoch [137][2300/3746] lr: 1.952e-03, eta: 8:45:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5291, top5_acc: 0.7816, loss_cls: 3.1200, loss: 3.1200 2023-12-28 13:41:33,029 - pyskl - INFO - Epoch [137][2400/3746] lr: 1.944e-03, eta: 8:44:46, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5447, top5_acc: 0.7795, loss_cls: 3.0893, loss: 3.0893 2023-12-28 13:42:33,002 - pyskl - INFO - Epoch [137][2500/3746] lr: 1.937e-03, eta: 8:43:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5333, top5_acc: 0.7694, loss_cls: 3.1296, loss: 3.1296 2023-12-28 13:43:32,545 - pyskl - INFO - Epoch [137][2600/3746] lr: 1.929e-03, eta: 8:42:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5284, top5_acc: 0.7775, loss_cls: 3.1249, loss: 3.1249 2023-12-28 13:44:32,032 - pyskl - INFO - Epoch [137][2700/3746] lr: 1.921e-03, eta: 8:41:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5333, top5_acc: 0.7822, loss_cls: 3.0923, loss: 3.0923 2023-12-28 13:45:31,816 - pyskl - INFO - Epoch [137][2800/3746] lr: 1.914e-03, eta: 8:40:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5225, top5_acc: 0.7739, loss_cls: 3.1332, loss: 3.1332 2023-12-28 13:46:31,126 - pyskl - INFO - Epoch [137][2900/3746] lr: 1.906e-03, eta: 8:39:30, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5444, top5_acc: 0.7823, loss_cls: 3.1013, loss: 3.1013 2023-12-28 13:47:30,851 - pyskl - INFO - Epoch [137][3000/3746] lr: 1.898e-03, eta: 8:38:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5347, top5_acc: 0.7817, loss_cls: 3.1200, loss: 3.1200 2023-12-28 13:48:30,145 - pyskl - INFO - Epoch [137][3100/3746] lr: 1.891e-03, eta: 8:37:24, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5256, top5_acc: 0.7691, loss_cls: 3.1577, loss: 3.1577 2023-12-28 13:49:29,580 - pyskl - INFO - Epoch [137][3200/3746] lr: 1.883e-03, eta: 8:36:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5234, top5_acc: 0.7739, loss_cls: 3.1486, loss: 3.1486 2023-12-28 13:50:28,869 - pyskl - INFO - Epoch [137][3300/3746] lr: 1.876e-03, eta: 8:35:17, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5372, top5_acc: 0.7853, loss_cls: 3.0779, loss: 3.0779 2023-12-28 13:51:28,367 - pyskl - INFO - Epoch [137][3400/3746] lr: 1.868e-03, eta: 8:34:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5256, top5_acc: 0.7748, loss_cls: 3.1668, loss: 3.1668 2023-12-28 13:52:28,097 - pyskl - INFO - Epoch [137][3500/3746] lr: 1.860e-03, eta: 8:33:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5192, top5_acc: 0.7691, loss_cls: 3.1702, loss: 3.1702 2023-12-28 13:53:27,613 - pyskl - INFO - Epoch [137][3600/3746] lr: 1.853e-03, eta: 8:32:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5109, top5_acc: 0.7638, loss_cls: 3.1940, loss: 3.1940 2023-12-28 13:54:27,329 - pyskl - INFO - Epoch [137][3700/3746] lr: 1.845e-03, eta: 8:31:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5328, top5_acc: 0.7756, loss_cls: 3.1262, loss: 3.1262 2023-12-28 13:54:57,436 - pyskl - INFO - Saving checkpoint at 137 epochs 2023-12-28 13:56:56,097 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 13:56:57,153 - pyskl - INFO - top1_acc 0.4197 top5_acc 0.6728 2023-12-28 13:56:57,153 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 13:56:57,191 - pyskl - INFO - mean_acc 0.4195 2023-12-28 13:56:57,200 - pyskl - INFO - Epoch(val) [137][309] top1_acc: 0.4197, top5_acc: 0.6728, mean_class_accuracy: 0.4195 2023-12-28 14:00:22,238 - pyskl - INFO - Epoch [138][100/3746] lr: 1.834e-03, eta: 8:29:43, time: 2.050, data_time: 1.438, memory: 16177, top1_acc: 0.5548, top5_acc: 0.7911, loss_cls: 3.0282, loss: 3.0282 2023-12-28 14:01:22,266 - pyskl - INFO - Epoch [138][200/3746] lr: 1.827e-03, eta: 8:28:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5619, top5_acc: 0.8008, loss_cls: 2.9826, loss: 2.9826 2023-12-28 14:02:22,178 - pyskl - INFO - Epoch [138][300/3746] lr: 1.819e-03, eta: 8:27:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5523, top5_acc: 0.7898, loss_cls: 3.0359, loss: 3.0359 2023-12-28 14:03:22,321 - pyskl - INFO - Epoch [138][400/3746] lr: 1.812e-03, eta: 8:26:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5598, top5_acc: 0.7939, loss_cls: 3.0187, loss: 3.0187 2023-12-28 14:04:22,292 - pyskl - INFO - Epoch [138][500/3746] lr: 1.805e-03, eta: 8:25:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5428, top5_acc: 0.7856, loss_cls: 3.0638, loss: 3.0638 2023-12-28 14:05:22,097 - pyskl - INFO - Epoch [138][600/3746] lr: 1.797e-03, eta: 8:24:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5459, top5_acc: 0.7845, loss_cls: 3.0729, loss: 3.0729 2023-12-28 14:06:21,744 - pyskl - INFO - Epoch [138][700/3746] lr: 1.790e-03, eta: 8:23:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5464, top5_acc: 0.7920, loss_cls: 3.0443, loss: 3.0443 2023-12-28 14:07:21,256 - pyskl - INFO - Epoch [138][800/3746] lr: 1.782e-03, eta: 8:22:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5463, top5_acc: 0.7791, loss_cls: 3.0938, loss: 3.0938 2023-12-28 14:08:20,922 - pyskl - INFO - Epoch [138][900/3746] lr: 1.775e-03, eta: 8:21:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5453, top5_acc: 0.7950, loss_cls: 3.0317, loss: 3.0317 2023-12-28 14:09:21,247 - pyskl - INFO - Epoch [138][1000/3746] lr: 1.768e-03, eta: 8:20:14, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5452, top5_acc: 0.7822, loss_cls: 3.0789, loss: 3.0789 2023-12-28 14:10:21,523 - pyskl - INFO - Epoch [138][1100/3746] lr: 1.760e-03, eta: 8:19:11, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5400, top5_acc: 0.7802, loss_cls: 3.0771, loss: 3.0771 2023-12-28 14:11:22,201 - pyskl - INFO - Epoch [138][1200/3746] lr: 1.753e-03, eta: 8:18:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.5306, top5_acc: 0.7767, loss_cls: 3.1015, loss: 3.1015 2023-12-28 14:12:22,327 - pyskl - INFO - Epoch [138][1300/3746] lr: 1.745e-03, eta: 8:17:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5323, top5_acc: 0.7858, loss_cls: 3.0787, loss: 3.0787 2023-12-28 14:13:21,876 - pyskl - INFO - Epoch [138][1400/3746] lr: 1.738e-03, eta: 8:16:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5370, top5_acc: 0.7858, loss_cls: 3.0848, loss: 3.0848 2023-12-28 14:14:21,351 - pyskl - INFO - Epoch [138][1500/3746] lr: 1.731e-03, eta: 8:14:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5491, top5_acc: 0.7872, loss_cls: 3.0603, loss: 3.0603 2023-12-28 14:15:20,766 - pyskl - INFO - Epoch [138][1600/3746] lr: 1.724e-03, eta: 8:13:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5341, top5_acc: 0.7830, loss_cls: 3.0893, loss: 3.0893 2023-12-28 14:16:20,160 - pyskl - INFO - Epoch [138][1700/3746] lr: 1.716e-03, eta: 8:12:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5352, top5_acc: 0.7823, loss_cls: 3.1117, loss: 3.1117 2023-12-28 14:17:19,646 - pyskl - INFO - Epoch [138][1800/3746] lr: 1.709e-03, eta: 8:11:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5408, top5_acc: 0.7822, loss_cls: 3.0979, loss: 3.0979 2023-12-28 14:18:19,986 - pyskl - INFO - Epoch [138][1900/3746] lr: 1.702e-03, eta: 8:10:45, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5275, top5_acc: 0.7730, loss_cls: 3.1249, loss: 3.1249 2023-12-28 14:19:20,328 - pyskl - INFO - Epoch [138][2000/3746] lr: 1.695e-03, eta: 8:09:42, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5448, top5_acc: 0.7837, loss_cls: 3.0631, loss: 3.0631 2023-12-28 14:20:19,680 - pyskl - INFO - Epoch [138][2100/3746] lr: 1.687e-03, eta: 8:08:39, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5434, top5_acc: 0.7822, loss_cls: 3.0766, loss: 3.0766 2023-12-28 14:21:19,238 - pyskl - INFO - Epoch [138][2200/3746] lr: 1.680e-03, eta: 8:07:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5394, top5_acc: 0.7745, loss_cls: 3.1133, loss: 3.1133 2023-12-28 14:22:19,256 - pyskl - INFO - Epoch [138][2300/3746] lr: 1.673e-03, eta: 8:06:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5353, top5_acc: 0.7770, loss_cls: 3.1064, loss: 3.1064 2023-12-28 14:23:19,242 - pyskl - INFO - Epoch [138][2400/3746] lr: 1.666e-03, eta: 8:05:29, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5442, top5_acc: 0.7877, loss_cls: 3.0717, loss: 3.0717 2023-12-28 14:24:20,065 - pyskl - INFO - Epoch [138][2500/3746] lr: 1.659e-03, eta: 8:04:26, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.5417, top5_acc: 0.7822, loss_cls: 3.0894, loss: 3.0894 2023-12-28 14:25:19,616 - pyskl - INFO - Epoch [138][2600/3746] lr: 1.652e-03, eta: 8:03:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5298, top5_acc: 0.7725, loss_cls: 3.1403, loss: 3.1403 2023-12-28 14:26:18,945 - pyskl - INFO - Epoch [138][2700/3746] lr: 1.644e-03, eta: 8:02:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5353, top5_acc: 0.7730, loss_cls: 3.1314, loss: 3.1314 2023-12-28 14:27:19,067 - pyskl - INFO - Epoch [138][2800/3746] lr: 1.637e-03, eta: 8:01:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5461, top5_acc: 0.7902, loss_cls: 3.0600, loss: 3.0600 2023-12-28 14:28:18,508 - pyskl - INFO - Epoch [138][2900/3746] lr: 1.630e-03, eta: 8:00:13, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5331, top5_acc: 0.7748, loss_cls: 3.1331, loss: 3.1331 2023-12-28 14:29:18,184 - pyskl - INFO - Epoch [138][3000/3746] lr: 1.623e-03, eta: 7:59:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5277, top5_acc: 0.7794, loss_cls: 3.1224, loss: 3.1224 2023-12-28 14:30:18,140 - pyskl - INFO - Epoch [138][3100/3746] lr: 1.616e-03, eta: 7:58:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5258, top5_acc: 0.7777, loss_cls: 3.1229, loss: 3.1229 2023-12-28 14:31:18,191 - pyskl - INFO - Epoch [138][3200/3746] lr: 1.609e-03, eta: 7:57:04, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5370, top5_acc: 0.7834, loss_cls: 3.0788, loss: 3.0788 2023-12-28 14:32:18,019 - pyskl - INFO - Epoch [138][3300/3746] lr: 1.602e-03, eta: 7:56:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5455, top5_acc: 0.7823, loss_cls: 3.0686, loss: 3.0686 2023-12-28 14:33:17,410 - pyskl - INFO - Epoch [138][3400/3746] lr: 1.595e-03, eta: 7:54:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5336, top5_acc: 0.7708, loss_cls: 3.1276, loss: 3.1276 2023-12-28 14:34:16,847 - pyskl - INFO - Epoch [138][3500/3746] lr: 1.588e-03, eta: 7:53:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5414, top5_acc: 0.7797, loss_cls: 3.0842, loss: 3.0842 2023-12-28 14:35:16,444 - pyskl - INFO - Epoch [138][3600/3746] lr: 1.581e-03, eta: 7:52:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5278, top5_acc: 0.7728, loss_cls: 3.1298, loss: 3.1298 2023-12-28 14:36:15,696 - pyskl - INFO - Epoch [138][3700/3746] lr: 1.574e-03, eta: 7:51:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5467, top5_acc: 0.7867, loss_cls: 3.0567, loss: 3.0567 2023-12-28 14:36:46,399 - pyskl - INFO - Saving checkpoint at 138 epochs 2023-12-28 14:38:48,475 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 14:38:49,568 - pyskl - INFO - top1_acc 0.4266 top5_acc 0.6773 2023-12-28 14:38:49,569 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 14:38:49,607 - pyskl - INFO - mean_acc 0.4263 2023-12-28 14:38:49,613 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_136.pth was removed 2023-12-28 14:38:49,915 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. 2023-12-28 14:38:49,916 - pyskl - INFO - Best top1_acc is 0.4266 at 138 epoch. 2023-12-28 14:38:49,927 - pyskl - INFO - Epoch(val) [138][309] top1_acc: 0.4266, top5_acc: 0.6773, mean_class_accuracy: 0.4263 2023-12-28 14:42:11,371 - pyskl - INFO - Epoch [139][100/3746] lr: 1.564e-03, eta: 7:50:25, time: 2.014, data_time: 1.409, memory: 16177, top1_acc: 0.5487, top5_acc: 0.7867, loss_cls: 3.0237, loss: 3.0237 2023-12-28 14:43:11,058 - pyskl - INFO - Epoch [139][200/3746] lr: 1.557e-03, eta: 7:49:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5516, top5_acc: 0.7967, loss_cls: 3.0199, loss: 3.0199 2023-12-28 14:44:10,979 - pyskl - INFO - Epoch [139][300/3746] lr: 1.550e-03, eta: 7:48:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5519, top5_acc: 0.7994, loss_cls: 3.0230, loss: 3.0230 2023-12-28 14:45:10,740 - pyskl - INFO - Epoch [139][400/3746] lr: 1.543e-03, eta: 7:47:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5680, top5_acc: 0.7977, loss_cls: 2.9955, loss: 2.9955 2023-12-28 14:46:10,149 - pyskl - INFO - Epoch [139][500/3746] lr: 1.536e-03, eta: 7:46:13, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5630, top5_acc: 0.7977, loss_cls: 2.9958, loss: 2.9958 2023-12-28 14:47:09,261 - pyskl - INFO - Epoch [139][600/3746] lr: 1.529e-03, eta: 7:45:09, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5564, top5_acc: 0.7936, loss_cls: 2.9935, loss: 2.9935 2023-12-28 14:48:08,997 - pyskl - INFO - Epoch [139][700/3746] lr: 1.523e-03, eta: 7:44:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5550, top5_acc: 0.7930, loss_cls: 3.0119, loss: 3.0119 2023-12-28 14:49:08,626 - pyskl - INFO - Epoch [139][800/3746] lr: 1.516e-03, eta: 7:43:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5570, top5_acc: 0.7942, loss_cls: 3.0210, loss: 3.0210 2023-12-28 14:50:08,706 - pyskl - INFO - Epoch [139][900/3746] lr: 1.509e-03, eta: 7:42:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5458, top5_acc: 0.7872, loss_cls: 3.0519, loss: 3.0519 2023-12-28 14:51:08,761 - pyskl - INFO - Epoch [139][1000/3746] lr: 1.502e-03, eta: 7:40:57, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5602, top5_acc: 0.7917, loss_cls: 3.0215, loss: 3.0215 2023-12-28 14:52:08,143 - pyskl - INFO - Epoch [139][1100/3746] lr: 1.495e-03, eta: 7:39:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5548, top5_acc: 0.7894, loss_cls: 3.0344, loss: 3.0344 2023-12-28 14:53:07,764 - pyskl - INFO - Epoch [139][1200/3746] lr: 1.489e-03, eta: 7:38:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5550, top5_acc: 0.7930, loss_cls: 3.0152, loss: 3.0152 2023-12-28 14:54:08,007 - pyskl - INFO - Epoch [139][1300/3746] lr: 1.482e-03, eta: 7:37:47, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5570, top5_acc: 0.7969, loss_cls: 2.9996, loss: 2.9996 2023-12-28 14:55:07,591 - pyskl - INFO - Epoch [139][1400/3746] lr: 1.475e-03, eta: 7:36:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5572, top5_acc: 0.8017, loss_cls: 2.9916, loss: 2.9916 2023-12-28 14:56:07,375 - pyskl - INFO - Epoch [139][1500/3746] lr: 1.468e-03, eta: 7:35:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5525, top5_acc: 0.7852, loss_cls: 3.0276, loss: 3.0276 2023-12-28 14:57:06,877 - pyskl - INFO - Epoch [139][1600/3746] lr: 1.462e-03, eta: 7:34:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5394, top5_acc: 0.7850, loss_cls: 3.0902, loss: 3.0902 2023-12-28 14:58:06,317 - pyskl - INFO - Epoch [139][1700/3746] lr: 1.455e-03, eta: 7:33:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5539, top5_acc: 0.7875, loss_cls: 3.0505, loss: 3.0505 2023-12-28 14:59:05,812 - pyskl - INFO - Epoch [139][1800/3746] lr: 1.448e-03, eta: 7:32:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5436, top5_acc: 0.7814, loss_cls: 3.0906, loss: 3.0906 2023-12-28 15:00:05,595 - pyskl - INFO - Epoch [139][1900/3746] lr: 1.442e-03, eta: 7:31:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5420, top5_acc: 0.7847, loss_cls: 3.0698, loss: 3.0698 2023-12-28 15:01:06,190 - pyskl - INFO - Epoch [139][2000/3746] lr: 1.435e-03, eta: 7:30:25, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.5452, top5_acc: 0.7884, loss_cls: 3.0527, loss: 3.0527 2023-12-28 15:02:05,966 - pyskl - INFO - Epoch [139][2100/3746] lr: 1.428e-03, eta: 7:29:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5534, top5_acc: 0.7930, loss_cls: 3.0324, loss: 3.0324 2023-12-28 15:03:05,446 - pyskl - INFO - Epoch [139][2200/3746] lr: 1.422e-03, eta: 7:28:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5470, top5_acc: 0.7927, loss_cls: 3.0426, loss: 3.0426 2023-12-28 15:04:05,118 - pyskl - INFO - Epoch [139][2300/3746] lr: 1.415e-03, eta: 7:27:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5497, top5_acc: 0.7923, loss_cls: 3.0225, loss: 3.0225 2023-12-28 15:05:04,771 - pyskl - INFO - Epoch [139][2400/3746] lr: 1.408e-03, eta: 7:26:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5534, top5_acc: 0.7894, loss_cls: 3.0366, loss: 3.0366 2023-12-28 15:06:04,866 - pyskl - INFO - Epoch [139][2500/3746] lr: 1.402e-03, eta: 7:25:09, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5430, top5_acc: 0.7842, loss_cls: 3.0614, loss: 3.0614 2023-12-28 15:07:04,953 - pyskl - INFO - Epoch [139][2600/3746] lr: 1.395e-03, eta: 7:24:06, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5492, top5_acc: 0.7836, loss_cls: 3.0503, loss: 3.0503 2023-12-28 15:08:04,525 - pyskl - INFO - Epoch [139][2700/3746] lr: 1.389e-03, eta: 7:23:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5441, top5_acc: 0.7883, loss_cls: 3.0573, loss: 3.0573 2023-12-28 15:09:04,465 - pyskl - INFO - Epoch [139][2800/3746] lr: 1.382e-03, eta: 7:21:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5414, top5_acc: 0.7831, loss_cls: 3.0767, loss: 3.0767 2023-12-28 15:10:04,059 - pyskl - INFO - Epoch [139][2900/3746] lr: 1.376e-03, eta: 7:20:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5520, top5_acc: 0.7867, loss_cls: 3.0552, loss: 3.0552 2023-12-28 15:11:03,555 - pyskl - INFO - Epoch [139][3000/3746] lr: 1.369e-03, eta: 7:19:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5517, top5_acc: 0.7937, loss_cls: 3.0284, loss: 3.0284 2023-12-28 15:12:03,008 - pyskl - INFO - Epoch [139][3100/3746] lr: 1.363e-03, eta: 7:18:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5506, top5_acc: 0.7898, loss_cls: 3.0498, loss: 3.0498 2023-12-28 15:13:02,430 - pyskl - INFO - Epoch [139][3200/3746] lr: 1.356e-03, eta: 7:17:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5445, top5_acc: 0.7856, loss_cls: 3.0586, loss: 3.0586 2023-12-28 15:14:02,004 - pyskl - INFO - Epoch [139][3300/3746] lr: 1.350e-03, eta: 7:16:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5452, top5_acc: 0.7927, loss_cls: 3.0498, loss: 3.0498 2023-12-28 15:15:01,500 - pyskl - INFO - Epoch [139][3400/3746] lr: 1.343e-03, eta: 7:15:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5531, top5_acc: 0.7817, loss_cls: 3.0530, loss: 3.0530 2023-12-28 15:16:01,083 - pyskl - INFO - Epoch [139][3500/3746] lr: 1.337e-03, eta: 7:14:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5345, top5_acc: 0.7775, loss_cls: 3.1006, loss: 3.1006 2023-12-28 15:17:01,164 - pyskl - INFO - Epoch [139][3600/3746] lr: 1.330e-03, eta: 7:13:34, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5491, top5_acc: 0.7877, loss_cls: 3.0401, loss: 3.0401 2023-12-28 15:18:01,721 - pyskl - INFO - Epoch [139][3700/3746] lr: 1.324e-03, eta: 7:12:31, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.5442, top5_acc: 0.7859, loss_cls: 3.0582, loss: 3.0582 2023-12-28 15:18:32,081 - pyskl - INFO - Saving checkpoint at 139 epochs 2023-12-28 15:20:38,530 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 15:20:39,631 - pyskl - INFO - top1_acc 0.4292 top5_acc 0.6810 2023-12-28 15:20:39,631 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 15:20:39,679 - pyskl - INFO - mean_acc 0.4290 2023-12-28 15:20:39,690 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_138.pth was removed 2023-12-28 15:20:40,024 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. 2023-12-28 15:20:40,025 - pyskl - INFO - Best top1_acc is 0.4292 at 139 epoch. 2023-12-28 15:20:40,036 - pyskl - INFO - Epoch(val) [139][309] top1_acc: 0.4292, top5_acc: 0.6810, mean_class_accuracy: 0.4290 2023-12-28 15:24:10,075 - pyskl - INFO - Epoch [140][100/3746] lr: 1.315e-03, eta: 7:11:08, time: 2.100, data_time: 1.494, memory: 16177, top1_acc: 0.5639, top5_acc: 0.7994, loss_cls: 2.9586, loss: 2.9586 2023-12-28 15:25:10,177 - pyskl - INFO - Epoch [140][200/3746] lr: 1.308e-03, eta: 7:10:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5627, top5_acc: 0.7950, loss_cls: 3.0050, loss: 3.0050 2023-12-28 15:26:10,070 - pyskl - INFO - Epoch [140][300/3746] lr: 1.302e-03, eta: 7:09:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5728, top5_acc: 0.8041, loss_cls: 2.9521, loss: 2.9521 2023-12-28 15:27:09,826 - pyskl - INFO - Epoch [140][400/3746] lr: 1.296e-03, eta: 7:07:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5642, top5_acc: 0.8058, loss_cls: 2.9742, loss: 2.9742 2023-12-28 15:28:09,717 - pyskl - INFO - Epoch [140][500/3746] lr: 1.289e-03, eta: 7:06:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5537, top5_acc: 0.7994, loss_cls: 2.9780, loss: 2.9780 2023-12-28 15:29:09,248 - pyskl - INFO - Epoch [140][600/3746] lr: 1.283e-03, eta: 7:05:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5673, top5_acc: 0.8006, loss_cls: 2.9587, loss: 2.9587 2023-12-28 15:30:08,855 - pyskl - INFO - Epoch [140][700/3746] lr: 1.277e-03, eta: 7:04:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5667, top5_acc: 0.8009, loss_cls: 2.9673, loss: 2.9673 2023-12-28 15:31:08,434 - pyskl - INFO - Epoch [140][800/3746] lr: 1.271e-03, eta: 7:03:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5570, top5_acc: 0.7992, loss_cls: 2.9815, loss: 2.9815 2023-12-28 15:32:07,943 - pyskl - INFO - Epoch [140][900/3746] lr: 1.264e-03, eta: 7:02:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5695, top5_acc: 0.8067, loss_cls: 2.9466, loss: 2.9466 2023-12-28 15:33:07,407 - pyskl - INFO - Epoch [140][1000/3746] lr: 1.258e-03, eta: 7:01:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5720, top5_acc: 0.8055, loss_cls: 2.9545, loss: 2.9545 2023-12-28 15:34:07,126 - pyskl - INFO - Epoch [140][1100/3746] lr: 1.252e-03, eta: 7:00:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5725, top5_acc: 0.8030, loss_cls: 2.9557, loss: 2.9557 2023-12-28 15:35:07,610 - pyskl - INFO - Epoch [140][1200/3746] lr: 1.246e-03, eta: 6:59:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.5622, top5_acc: 0.7959, loss_cls: 2.9856, loss: 2.9856 2023-12-28 15:36:07,354 - pyskl - INFO - Epoch [140][1300/3746] lr: 1.239e-03, eta: 6:58:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5659, top5_acc: 0.7997, loss_cls: 2.9784, loss: 2.9784 2023-12-28 15:37:07,519 - pyskl - INFO - Epoch [140][1400/3746] lr: 1.233e-03, eta: 6:57:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5594, top5_acc: 0.7989, loss_cls: 2.9942, loss: 2.9942 2023-12-28 15:38:07,369 - pyskl - INFO - Epoch [140][1500/3746] lr: 1.227e-03, eta: 6:56:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5634, top5_acc: 0.7941, loss_cls: 2.9927, loss: 2.9927 2023-12-28 15:39:06,878 - pyskl - INFO - Epoch [140][1600/3746] lr: 1.221e-03, eta: 6:55:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5544, top5_acc: 0.8011, loss_cls: 3.0103, loss: 3.0103 2023-12-28 15:40:06,336 - pyskl - INFO - Epoch [140][1700/3746] lr: 1.215e-03, eta: 6:54:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5487, top5_acc: 0.7956, loss_cls: 3.0186, loss: 3.0186 2023-12-28 15:41:05,836 - pyskl - INFO - Epoch [140][1800/3746] lr: 1.209e-03, eta: 6:53:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5567, top5_acc: 0.7961, loss_cls: 3.0011, loss: 3.0011 2023-12-28 15:42:05,999 - pyskl - INFO - Epoch [140][1900/3746] lr: 1.203e-03, eta: 6:52:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5581, top5_acc: 0.8025, loss_cls: 2.9885, loss: 2.9885 2023-12-28 15:43:06,344 - pyskl - INFO - Epoch [140][2000/3746] lr: 1.196e-03, eta: 6:51:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5577, top5_acc: 0.7931, loss_cls: 3.0179, loss: 3.0179 2023-12-28 15:44:06,152 - pyskl - INFO - Epoch [140][2100/3746] lr: 1.190e-03, eta: 6:50:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5513, top5_acc: 0.7989, loss_cls: 3.0177, loss: 3.0177 2023-12-28 15:45:05,959 - pyskl - INFO - Epoch [140][2200/3746] lr: 1.184e-03, eta: 6:49:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5608, top5_acc: 0.7941, loss_cls: 3.0075, loss: 3.0075 2023-12-28 15:46:05,829 - pyskl - INFO - Epoch [140][2300/3746] lr: 1.178e-03, eta: 6:47:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5578, top5_acc: 0.7961, loss_cls: 3.0065, loss: 3.0065 2023-12-28 15:47:05,422 - pyskl - INFO - Epoch [140][2400/3746] lr: 1.172e-03, eta: 6:46:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5530, top5_acc: 0.7914, loss_cls: 3.0298, loss: 3.0298 2023-12-28 15:48:06,679 - pyskl - INFO - Epoch [140][2500/3746] lr: 1.166e-03, eta: 6:45:52, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.5473, top5_acc: 0.7961, loss_cls: 3.0247, loss: 3.0247 2023-12-28 15:49:06,494 - pyskl - INFO - Epoch [140][2600/3746] lr: 1.160e-03, eta: 6:44:49, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5620, top5_acc: 0.7919, loss_cls: 3.0099, loss: 3.0099 2023-12-28 15:50:06,341 - pyskl - INFO - Epoch [140][2700/3746] lr: 1.154e-03, eta: 6:43:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5652, top5_acc: 0.7980, loss_cls: 2.9856, loss: 2.9856 2023-12-28 15:51:05,879 - pyskl - INFO - Epoch [140][2800/3746] lr: 1.148e-03, eta: 6:42:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5619, top5_acc: 0.7942, loss_cls: 3.0059, loss: 3.0059 2023-12-28 15:52:05,752 - pyskl - INFO - Epoch [140][2900/3746] lr: 1.142e-03, eta: 6:41:40, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5483, top5_acc: 0.7911, loss_cls: 3.0304, loss: 3.0304 2023-12-28 15:53:05,621 - pyskl - INFO - Epoch [140][3000/3746] lr: 1.136e-03, eta: 6:40:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5581, top5_acc: 0.7959, loss_cls: 3.0051, loss: 3.0051 2023-12-28 15:54:05,373 - pyskl - INFO - Epoch [140][3100/3746] lr: 1.131e-03, eta: 6:39:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5581, top5_acc: 0.7900, loss_cls: 3.0012, loss: 3.0012 2023-12-28 15:55:05,684 - pyskl - INFO - Epoch [140][3200/3746] lr: 1.125e-03, eta: 6:38:30, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5556, top5_acc: 0.7980, loss_cls: 3.0043, loss: 3.0043 2023-12-28 15:56:05,578 - pyskl - INFO - Epoch [140][3300/3746] lr: 1.119e-03, eta: 6:37:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5580, top5_acc: 0.7973, loss_cls: 3.0103, loss: 3.0103 2023-12-28 15:57:05,705 - pyskl - INFO - Epoch [140][3400/3746] lr: 1.113e-03, eta: 6:36:24, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5470, top5_acc: 0.7866, loss_cls: 3.0517, loss: 3.0517 2023-12-28 15:58:06,551 - pyskl - INFO - Epoch [140][3500/3746] lr: 1.107e-03, eta: 6:35:21, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.5663, top5_acc: 0.8008, loss_cls: 2.9830, loss: 2.9830 2023-12-28 15:59:06,697 - pyskl - INFO - Epoch [140][3600/3746] lr: 1.101e-03, eta: 6:34:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5489, top5_acc: 0.7975, loss_cls: 3.0115, loss: 3.0115 2023-12-28 16:00:07,684 - pyskl - INFO - Epoch [140][3700/3746] lr: 1.095e-03, eta: 6:33:15, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.5534, top5_acc: 0.7922, loss_cls: 3.0175, loss: 3.0175 2023-12-28 16:00:38,282 - pyskl - INFO - Saving checkpoint at 140 epochs 2023-12-28 16:02:39,989 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 16:02:41,063 - pyskl - INFO - top1_acc 0.4307 top5_acc 0.6843 2023-12-28 16:02:41,064 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 16:02:41,111 - pyskl - INFO - mean_acc 0.4304 2023-12-28 16:02:41,118 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_139.pth was removed 2023-12-28 16:02:41,439 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_140.pth. 2023-12-28 16:02:41,440 - pyskl - INFO - Best top1_acc is 0.4307 at 140 epoch. 2023-12-28 16:02:41,451 - pyskl - INFO - Epoch(val) [140][309] top1_acc: 0.4307, top5_acc: 0.6843, mean_class_accuracy: 0.4304 2023-12-28 16:06:10,727 - pyskl - INFO - Epoch [141][100/3746] lr: 1.087e-03, eta: 6:31:52, time: 2.093, data_time: 1.487, memory: 16177, top1_acc: 0.5842, top5_acc: 0.8142, loss_cls: 2.8873, loss: 2.8873 2023-12-28 16:07:10,564 - pyskl - INFO - Epoch [141][200/3746] lr: 1.081e-03, eta: 6:30:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5717, top5_acc: 0.8133, loss_cls: 2.9288, loss: 2.9288 2023-12-28 16:08:10,340 - pyskl - INFO - Epoch [141][300/3746] lr: 1.075e-03, eta: 6:29:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5752, top5_acc: 0.8023, loss_cls: 2.9270, loss: 2.9270 2023-12-28 16:09:10,315 - pyskl - INFO - Epoch [141][400/3746] lr: 1.070e-03, eta: 6:28:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5695, top5_acc: 0.8106, loss_cls: 2.9386, loss: 2.9386 2023-12-28 16:10:10,023 - pyskl - INFO - Epoch [141][500/3746] lr: 1.064e-03, eta: 6:27:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5764, top5_acc: 0.8000, loss_cls: 2.9524, loss: 2.9524 2023-12-28 16:11:09,597 - pyskl - INFO - Epoch [141][600/3746] lr: 1.058e-03, eta: 6:26:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5733, top5_acc: 0.8098, loss_cls: 2.9314, loss: 2.9314 2023-12-28 16:12:09,810 - pyskl - INFO - Epoch [141][700/3746] lr: 1.052e-03, eta: 6:25:33, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5578, top5_acc: 0.8003, loss_cls: 2.9869, loss: 2.9869 2023-12-28 16:13:09,555 - pyskl - INFO - Epoch [141][800/3746] lr: 1.047e-03, eta: 6:24:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5797, top5_acc: 0.8081, loss_cls: 2.9217, loss: 2.9217 2023-12-28 16:14:09,173 - pyskl - INFO - Epoch [141][900/3746] lr: 1.041e-03, eta: 6:23:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5684, top5_acc: 0.8155, loss_cls: 2.9358, loss: 2.9358 2023-12-28 16:15:08,913 - pyskl - INFO - Epoch [141][1000/3746] lr: 1.035e-03, eta: 6:22:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5720, top5_acc: 0.8072, loss_cls: 2.9379, loss: 2.9379 2023-12-28 16:16:08,413 - pyskl - INFO - Epoch [141][1100/3746] lr: 1.030e-03, eta: 6:21:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5622, top5_acc: 0.8030, loss_cls: 2.9808, loss: 2.9808 2023-12-28 16:17:08,157 - pyskl - INFO - Epoch [141][1200/3746] lr: 1.024e-03, eta: 6:20:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5631, top5_acc: 0.7975, loss_cls: 2.9800, loss: 2.9800 2023-12-28 16:18:07,964 - pyskl - INFO - Epoch [141][1300/3746] lr: 1.018e-03, eta: 6:19:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5777, top5_acc: 0.8095, loss_cls: 2.9175, loss: 2.9175 2023-12-28 16:19:07,461 - pyskl - INFO - Epoch [141][1400/3746] lr: 1.013e-03, eta: 6:18:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5772, top5_acc: 0.8137, loss_cls: 2.9078, loss: 2.9078 2023-12-28 16:20:07,143 - pyskl - INFO - Epoch [141][1500/3746] lr: 1.007e-03, eta: 6:17:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5656, top5_acc: 0.8050, loss_cls: 2.9523, loss: 2.9523 2023-12-28 16:21:06,820 - pyskl - INFO - Epoch [141][1600/3746] lr: 1.002e-03, eta: 6:16:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5664, top5_acc: 0.8005, loss_cls: 2.9697, loss: 2.9697 2023-12-28 16:22:06,405 - pyskl - INFO - Epoch [141][1700/3746] lr: 9.961e-04, eta: 6:15:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5642, top5_acc: 0.8034, loss_cls: 2.9496, loss: 2.9496 2023-12-28 16:23:06,264 - pyskl - INFO - Epoch [141][1800/3746] lr: 9.905e-04, eta: 6:13:58, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5625, top5_acc: 0.7941, loss_cls: 2.9848, loss: 2.9848 2023-12-28 16:24:06,291 - pyskl - INFO - Epoch [141][1900/3746] lr: 9.850e-04, eta: 6:12:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5731, top5_acc: 0.7966, loss_cls: 2.9701, loss: 2.9701 2023-12-28 16:25:06,860 - pyskl - INFO - Epoch [141][2000/3746] lr: 9.795e-04, eta: 6:11:52, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.5597, top5_acc: 0.7964, loss_cls: 2.9867, loss: 2.9867 2023-12-28 16:26:06,598 - pyskl - INFO - Epoch [141][2100/3746] lr: 9.740e-04, eta: 6:10:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5766, top5_acc: 0.8039, loss_cls: 2.9425, loss: 2.9425 2023-12-28 16:27:06,799 - pyskl - INFO - Epoch [141][2200/3746] lr: 9.685e-04, eta: 6:09:46, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5759, top5_acc: 0.8105, loss_cls: 2.9086, loss: 2.9086 2023-12-28 16:28:06,809 - pyskl - INFO - Epoch [141][2300/3746] lr: 9.630e-04, eta: 6:08:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5583, top5_acc: 0.7891, loss_cls: 2.9949, loss: 2.9949 2023-12-28 16:29:06,461 - pyskl - INFO - Epoch [141][2400/3746] lr: 9.576e-04, eta: 6:07:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5587, top5_acc: 0.8027, loss_cls: 2.9909, loss: 2.9909 2023-12-28 16:30:06,958 - pyskl - INFO - Epoch [141][2500/3746] lr: 9.522e-04, eta: 6:06:36, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.5641, top5_acc: 0.8020, loss_cls: 2.9783, loss: 2.9783 2023-12-28 16:31:07,527 - pyskl - INFO - Epoch [141][2600/3746] lr: 9.467e-04, eta: 6:05:33, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.5663, top5_acc: 0.7998, loss_cls: 2.9682, loss: 2.9682 2023-12-28 16:32:07,218 - pyskl - INFO - Epoch [141][2700/3746] lr: 9.413e-04, eta: 6:04:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5698, top5_acc: 0.8159, loss_cls: 2.9379, loss: 2.9379 2023-12-28 16:33:06,598 - pyskl - INFO - Epoch [141][2800/3746] lr: 9.359e-04, eta: 6:03:27, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5673, top5_acc: 0.8014, loss_cls: 2.9677, loss: 2.9677 2023-12-28 16:34:06,330 - pyskl - INFO - Epoch [141][2900/3746] lr: 9.306e-04, eta: 6:02:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5617, top5_acc: 0.7975, loss_cls: 2.9844, loss: 2.9844 2023-12-28 16:35:06,060 - pyskl - INFO - Epoch [141][3000/3746] lr: 9.252e-04, eta: 6:01:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5720, top5_acc: 0.8119, loss_cls: 2.9247, loss: 2.9247 2023-12-28 16:36:06,178 - pyskl - INFO - Epoch [141][3100/3746] lr: 9.199e-04, eta: 6:00:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5709, top5_acc: 0.8092, loss_cls: 2.9398, loss: 2.9398 2023-12-28 16:37:06,882 - pyskl - INFO - Epoch [141][3200/3746] lr: 9.145e-04, eta: 5:59:14, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.5727, top5_acc: 0.7977, loss_cls: 2.9720, loss: 2.9720 2023-12-28 16:38:06,665 - pyskl - INFO - Epoch [141][3300/3746] lr: 9.092e-04, eta: 5:58:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5644, top5_acc: 0.7972, loss_cls: 2.9672, loss: 2.9672 2023-12-28 16:39:06,553 - pyskl - INFO - Epoch [141][3400/3746] lr: 9.039e-04, eta: 5:57:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5759, top5_acc: 0.8091, loss_cls: 2.9345, loss: 2.9345 2023-12-28 16:40:06,667 - pyskl - INFO - Epoch [141][3500/3746] lr: 8.986e-04, eta: 5:56:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5655, top5_acc: 0.8044, loss_cls: 2.9730, loss: 2.9730 2023-12-28 16:41:06,454 - pyskl - INFO - Epoch [141][3600/3746] lr: 8.934e-04, eta: 5:55:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5691, top5_acc: 0.8028, loss_cls: 2.9728, loss: 2.9728 2023-12-28 16:42:06,992 - pyskl - INFO - Epoch [141][3700/3746] lr: 8.881e-04, eta: 5:53:59, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.5673, top5_acc: 0.8023, loss_cls: 2.9708, loss: 2.9708 2023-12-28 16:42:37,537 - pyskl - INFO - Saving checkpoint at 141 epochs 2023-12-28 16:44:38,538 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 16:44:39,589 - pyskl - INFO - top1_acc 0.4341 top5_acc 0.6861 2023-12-28 16:44:39,589 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 16:44:39,623 - pyskl - INFO - mean_acc 0.4338 2023-12-28 16:44:39,628 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_140.pth was removed 2023-12-28 16:44:39,887 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. 2023-12-28 16:44:39,888 - pyskl - INFO - Best top1_acc is 0.4341 at 141 epoch. 2023-12-28 16:44:39,900 - pyskl - INFO - Epoch(val) [141][309] top1_acc: 0.4341, top5_acc: 0.6861, mean_class_accuracy: 0.4338 2023-12-28 16:48:08,306 - pyskl - INFO - Epoch [142][100/3746] lr: 8.805e-04, eta: 5:52:34, time: 2.084, data_time: 1.472, memory: 16177, top1_acc: 0.5850, top5_acc: 0.8127, loss_cls: 2.8882, loss: 2.8882 2023-12-28 16:49:08,360 - pyskl - INFO - Epoch [142][200/3746] lr: 8.752e-04, eta: 5:51:31, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5975, top5_acc: 0.8175, loss_cls: 2.8536, loss: 2.8536 2023-12-28 16:50:08,519 - pyskl - INFO - Epoch [142][300/3746] lr: 8.700e-04, eta: 5:50:28, time: 0.602, data_time: 0.001, memory: 16177, top1_acc: 0.5805, top5_acc: 0.8142, loss_cls: 2.8930, loss: 2.8930 2023-12-28 16:51:08,813 - pyskl - INFO - Epoch [142][400/3746] lr: 8.649e-04, eta: 5:49:25, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5970, top5_acc: 0.8239, loss_cls: 2.8475, loss: 2.8475 2023-12-28 16:52:09,099 - pyskl - INFO - Epoch [142][500/3746] lr: 8.597e-04, eta: 5:48:22, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5813, top5_acc: 0.8136, loss_cls: 2.8977, loss: 2.8977 2023-12-28 16:53:08,756 - pyskl - INFO - Epoch [142][600/3746] lr: 8.545e-04, eta: 5:47:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5773, top5_acc: 0.8166, loss_cls: 2.8990, loss: 2.8990 2023-12-28 16:54:08,304 - pyskl - INFO - Epoch [142][700/3746] lr: 8.494e-04, eta: 5:46:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5747, top5_acc: 0.8094, loss_cls: 2.9344, loss: 2.9344 2023-12-28 16:55:08,774 - pyskl - INFO - Epoch [142][800/3746] lr: 8.443e-04, eta: 5:45:13, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.5855, top5_acc: 0.8169, loss_cls: 2.8994, loss: 2.8994 2023-12-28 16:56:09,467 - pyskl - INFO - Epoch [142][900/3746] lr: 8.392e-04, eta: 5:44:10, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.5708, top5_acc: 0.8019, loss_cls: 2.9418, loss: 2.9418 2023-12-28 16:57:10,125 - pyskl - INFO - Epoch [142][1000/3746] lr: 8.341e-04, eta: 5:43:07, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.5794, top5_acc: 0.8070, loss_cls: 2.9156, loss: 2.9156 2023-12-28 16:58:10,458 - pyskl - INFO - Epoch [142][1100/3746] lr: 8.290e-04, eta: 5:42:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5778, top5_acc: 0.8156, loss_cls: 2.9023, loss: 2.9023 2023-12-28 16:59:10,858 - pyskl - INFO - Epoch [142][1200/3746] lr: 8.239e-04, eta: 5:41:00, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.5797, top5_acc: 0.8083, loss_cls: 2.9119, loss: 2.9119 2023-12-28 17:00:11,126 - pyskl - INFO - Epoch [142][1300/3746] lr: 8.189e-04, eta: 5:39:57, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5845, top5_acc: 0.8131, loss_cls: 2.8949, loss: 2.8949 2023-12-28 17:01:10,630 - pyskl - INFO - Epoch [142][1400/3746] lr: 8.139e-04, eta: 5:38:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5864, top5_acc: 0.8075, loss_cls: 2.9311, loss: 2.9311 2023-12-28 17:02:10,495 - pyskl - INFO - Epoch [142][1500/3746] lr: 8.088e-04, eta: 5:37:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5894, top5_acc: 0.8183, loss_cls: 2.8767, loss: 2.8767 2023-12-28 17:03:10,061 - pyskl - INFO - Epoch [142][1600/3746] lr: 8.038e-04, eta: 5:36:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5894, top5_acc: 0.8214, loss_cls: 2.8593, loss: 2.8593 2023-12-28 17:04:09,480 - pyskl - INFO - Epoch [142][1700/3746] lr: 7.989e-04, eta: 5:35:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5742, top5_acc: 0.8061, loss_cls: 2.9304, loss: 2.9304 2023-12-28 17:05:10,096 - pyskl - INFO - Epoch [142][1800/3746] lr: 7.939e-04, eta: 5:34:42, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.5858, top5_acc: 0.8197, loss_cls: 2.8761, loss: 2.8761 2023-12-28 17:06:10,888 - pyskl - INFO - Epoch [142][1900/3746] lr: 7.889e-04, eta: 5:33:39, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.5698, top5_acc: 0.8103, loss_cls: 2.9384, loss: 2.9384 2023-12-28 17:07:11,452 - pyskl - INFO - Epoch [142][2000/3746] lr: 7.840e-04, eta: 5:32:36, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.5767, top5_acc: 0.8094, loss_cls: 2.9153, loss: 2.9153 2023-12-28 17:08:11,030 - pyskl - INFO - Epoch [142][2100/3746] lr: 7.791e-04, eta: 5:31:32, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5728, top5_acc: 0.8077, loss_cls: 2.9126, loss: 2.9126 2023-12-28 17:09:11,023 - pyskl - INFO - Epoch [142][2200/3746] lr: 7.742e-04, eta: 5:30:29, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5677, top5_acc: 0.8025, loss_cls: 2.9519, loss: 2.9519 2023-12-28 17:10:11,107 - pyskl - INFO - Epoch [142][2300/3746] lr: 7.693e-04, eta: 5:29:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5892, top5_acc: 0.8155, loss_cls: 2.8723, loss: 2.8723 2023-12-28 17:11:11,785 - pyskl - INFO - Epoch [142][2400/3746] lr: 7.644e-04, eta: 5:28:23, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.5769, top5_acc: 0.8130, loss_cls: 2.9321, loss: 2.9321 2023-12-28 17:12:11,996 - pyskl - INFO - Epoch [142][2500/3746] lr: 7.595e-04, eta: 5:27:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5798, top5_acc: 0.8131, loss_cls: 2.9043, loss: 2.9043 2023-12-28 17:13:12,319 - pyskl - INFO - Epoch [142][2600/3746] lr: 7.547e-04, eta: 5:26:17, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5672, top5_acc: 0.8056, loss_cls: 2.9419, loss: 2.9419 2023-12-28 17:14:11,763 - pyskl - INFO - Epoch [142][2700/3746] lr: 7.499e-04, eta: 5:25:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5670, top5_acc: 0.8109, loss_cls: 2.9396, loss: 2.9396 2023-12-28 17:15:11,244 - pyskl - INFO - Epoch [142][2800/3746] lr: 7.450e-04, eta: 5:24:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5855, top5_acc: 0.8161, loss_cls: 2.8844, loss: 2.8844 2023-12-28 17:16:11,155 - pyskl - INFO - Epoch [142][2900/3746] lr: 7.402e-04, eta: 5:23:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5789, top5_acc: 0.8095, loss_cls: 2.9032, loss: 2.9032 2023-12-28 17:17:10,674 - pyskl - INFO - Epoch [142][3000/3746] lr: 7.355e-04, eta: 5:22:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5737, top5_acc: 0.8056, loss_cls: 2.9262, loss: 2.9262 2023-12-28 17:18:10,405 - pyskl - INFO - Epoch [142][3100/3746] lr: 7.307e-04, eta: 5:21:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5734, top5_acc: 0.8100, loss_cls: 2.9348, loss: 2.9348 2023-12-28 17:19:09,951 - pyskl - INFO - Epoch [142][3200/3746] lr: 7.259e-04, eta: 5:19:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5748, top5_acc: 0.8077, loss_cls: 2.9271, loss: 2.9271 2023-12-28 17:20:10,562 - pyskl - INFO - Epoch [142][3300/3746] lr: 7.212e-04, eta: 5:18:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.5780, top5_acc: 0.8181, loss_cls: 2.8981, loss: 2.8981 2023-12-28 17:21:11,036 - pyskl - INFO - Epoch [142][3400/3746] lr: 7.165e-04, eta: 5:17:52, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.5802, top5_acc: 0.8103, loss_cls: 2.9122, loss: 2.9122 2023-12-28 17:22:10,535 - pyskl - INFO - Epoch [142][3500/3746] lr: 7.118e-04, eta: 5:16:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5681, top5_acc: 0.8125, loss_cls: 2.9341, loss: 2.9341 2023-12-28 17:23:10,403 - pyskl - INFO - Epoch [142][3600/3746] lr: 7.071e-04, eta: 5:15:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5737, top5_acc: 0.8020, loss_cls: 2.9491, loss: 2.9491 2023-12-28 17:24:10,822 - pyskl - INFO - Epoch [142][3700/3746] lr: 7.024e-04, eta: 5:14:43, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.5770, top5_acc: 0.8017, loss_cls: 2.9589, loss: 2.9589 2023-12-28 17:24:41,782 - pyskl - INFO - Saving checkpoint at 142 epochs 2023-12-28 17:26:44,526 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 17:26:45,572 - pyskl - INFO - top1_acc 0.4378 top5_acc 0.6853 2023-12-28 17:26:45,572 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 17:26:45,613 - pyskl - INFO - mean_acc 0.4375 2023-12-28 17:26:45,619 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_141.pth was removed 2023-12-28 17:26:45,929 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. 2023-12-28 17:26:45,929 - pyskl - INFO - Best top1_acc is 0.4378 at 142 epoch. 2023-12-28 17:26:45,939 - pyskl - INFO - Epoch(val) [142][309] top1_acc: 0.4378, top5_acc: 0.6853, mean_class_accuracy: 0.4375 2023-12-28 17:30:13,281 - pyskl - INFO - Epoch [143][100/3746] lr: 6.956e-04, eta: 5:13:18, time: 2.073, data_time: 1.466, memory: 16177, top1_acc: 0.5933, top5_acc: 0.8264, loss_cls: 2.8391, loss: 2.8391 2023-12-28 17:31:13,139 - pyskl - INFO - Epoch [143][200/3746] lr: 6.910e-04, eta: 5:12:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5967, top5_acc: 0.8197, loss_cls: 2.8426, loss: 2.8426 2023-12-28 17:32:13,011 - pyskl - INFO - Epoch [143][300/3746] lr: 6.863e-04, eta: 5:11:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5847, top5_acc: 0.8186, loss_cls: 2.8751, loss: 2.8751 2023-12-28 17:33:12,793 - pyskl - INFO - Epoch [143][400/3746] lr: 6.817e-04, eta: 5:10:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5973, top5_acc: 0.8263, loss_cls: 2.8188, loss: 2.8188 2023-12-28 17:34:12,799 - pyskl - INFO - Epoch [143][500/3746] lr: 6.771e-04, eta: 5:09:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6003, top5_acc: 0.8222, loss_cls: 2.8400, loss: 2.8400 2023-12-28 17:35:12,420 - pyskl - INFO - Epoch [143][600/3746] lr: 6.725e-04, eta: 5:08:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5914, top5_acc: 0.8205, loss_cls: 2.8543, loss: 2.8543 2023-12-28 17:36:12,140 - pyskl - INFO - Epoch [143][700/3746] lr: 6.680e-04, eta: 5:06:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5970, top5_acc: 0.8248, loss_cls: 2.8185, loss: 2.8185 2023-12-28 17:37:11,842 - pyskl - INFO - Epoch [143][800/3746] lr: 6.634e-04, eta: 5:05:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5784, top5_acc: 0.8130, loss_cls: 2.8877, loss: 2.8877 2023-12-28 17:38:11,514 - pyskl - INFO - Epoch [143][900/3746] lr: 6.589e-04, eta: 5:04:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5847, top5_acc: 0.8148, loss_cls: 2.8780, loss: 2.8780 2023-12-28 17:39:11,113 - pyskl - INFO - Epoch [143][1000/3746] lr: 6.544e-04, eta: 5:03:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5917, top5_acc: 0.8172, loss_cls: 2.8804, loss: 2.8804 2023-12-28 17:40:10,587 - pyskl - INFO - Epoch [143][1100/3746] lr: 6.499e-04, eta: 5:02:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5869, top5_acc: 0.8172, loss_cls: 2.8663, loss: 2.8663 2023-12-28 17:41:10,081 - pyskl - INFO - Epoch [143][1200/3746] lr: 6.454e-04, eta: 5:01:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5925, top5_acc: 0.8256, loss_cls: 2.8364, loss: 2.8364 2023-12-28 17:42:09,868 - pyskl - INFO - Epoch [143][1300/3746] lr: 6.409e-04, eta: 5:00:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5948, top5_acc: 0.8266, loss_cls: 2.8233, loss: 2.8233 2023-12-28 17:43:10,095 - pyskl - INFO - Epoch [143][1400/3746] lr: 6.365e-04, eta: 4:59:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5934, top5_acc: 0.8167, loss_cls: 2.8784, loss: 2.8784 2023-12-28 17:44:10,804 - pyskl - INFO - Epoch [143][1500/3746] lr: 6.320e-04, eta: 4:58:34, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.5823, top5_acc: 0.8177, loss_cls: 2.8901, loss: 2.8901 2023-12-28 17:45:10,627 - pyskl - INFO - Epoch [143][1600/3746] lr: 6.276e-04, eta: 4:57:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5898, top5_acc: 0.8198, loss_cls: 2.8519, loss: 2.8519 2023-12-28 17:46:10,026 - pyskl - INFO - Epoch [143][1700/3746] lr: 6.232e-04, eta: 4:56:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5855, top5_acc: 0.8209, loss_cls: 2.8665, loss: 2.8665 2023-12-28 17:47:09,638 - pyskl - INFO - Epoch [143][1800/3746] lr: 6.188e-04, eta: 4:55:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5928, top5_acc: 0.8230, loss_cls: 2.8391, loss: 2.8391 2023-12-28 17:48:09,249 - pyskl - INFO - Epoch [143][1900/3746] lr: 6.144e-04, eta: 4:54:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5953, top5_acc: 0.8200, loss_cls: 2.8409, loss: 2.8409 2023-12-28 17:49:09,978 - pyskl - INFO - Epoch [143][2000/3746] lr: 6.101e-04, eta: 4:53:19, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.5886, top5_acc: 0.8155, loss_cls: 2.8729, loss: 2.8729 2023-12-28 17:50:10,016 - pyskl - INFO - Epoch [143][2100/3746] lr: 6.057e-04, eta: 4:52:16, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5898, top5_acc: 0.8233, loss_cls: 2.8601, loss: 2.8601 2023-12-28 17:51:09,758 - pyskl - INFO - Epoch [143][2200/3746] lr: 6.014e-04, eta: 4:51:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5967, top5_acc: 0.8220, loss_cls: 2.8532, loss: 2.8532 2023-12-28 17:52:09,679 - pyskl - INFO - Epoch [143][2300/3746] lr: 5.971e-04, eta: 4:50:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5947, top5_acc: 0.8189, loss_cls: 2.8643, loss: 2.8643 2023-12-28 17:53:09,333 - pyskl - INFO - Epoch [143][2400/3746] lr: 5.928e-04, eta: 4:49:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5911, top5_acc: 0.8233, loss_cls: 2.8561, loss: 2.8561 2023-12-28 17:54:09,467 - pyskl - INFO - Epoch [143][2500/3746] lr: 5.885e-04, eta: 4:48:03, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5822, top5_acc: 0.8145, loss_cls: 2.9076, loss: 2.9076 2023-12-28 17:55:09,955 - pyskl - INFO - Epoch [143][2600/3746] lr: 5.842e-04, eta: 4:47:00, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.5834, top5_acc: 0.8108, loss_cls: 2.8905, loss: 2.8905 2023-12-28 17:56:09,592 - pyskl - INFO - Epoch [143][2700/3746] lr: 5.800e-04, eta: 4:45:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5816, top5_acc: 0.8203, loss_cls: 2.8719, loss: 2.8719 2023-12-28 17:57:09,422 - pyskl - INFO - Epoch [143][2800/3746] lr: 5.757e-04, eta: 4:44:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5895, top5_acc: 0.8141, loss_cls: 2.8801, loss: 2.8801 2023-12-28 17:58:09,213 - pyskl - INFO - Epoch [143][2900/3746] lr: 5.715e-04, eta: 4:43:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5777, top5_acc: 0.8100, loss_cls: 2.9086, loss: 2.9086 2023-12-28 17:59:08,669 - pyskl - INFO - Epoch [143][3000/3746] lr: 5.673e-04, eta: 4:42:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5934, top5_acc: 0.8241, loss_cls: 2.8488, loss: 2.8488 2023-12-28 18:00:07,984 - pyskl - INFO - Epoch [143][3100/3746] lr: 5.631e-04, eta: 4:41:45, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5842, top5_acc: 0.8164, loss_cls: 2.8831, loss: 2.8831 2023-12-28 18:01:07,260 - pyskl - INFO - Epoch [143][3200/3746] lr: 5.590e-04, eta: 4:40:42, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5723, top5_acc: 0.8094, loss_cls: 2.9127, loss: 2.9127 2023-12-28 18:02:06,866 - pyskl - INFO - Epoch [143][3300/3746] lr: 5.548e-04, eta: 4:39:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5925, top5_acc: 0.8125, loss_cls: 2.8731, loss: 2.8731 2023-12-28 18:03:06,427 - pyskl - INFO - Epoch [143][3400/3746] lr: 5.506e-04, eta: 4:38:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5786, top5_acc: 0.8103, loss_cls: 2.9030, loss: 2.9030 2023-12-28 18:04:06,084 - pyskl - INFO - Epoch [143][3500/3746] lr: 5.465e-04, eta: 4:37:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5820, top5_acc: 0.8169, loss_cls: 2.8839, loss: 2.8839 2023-12-28 18:05:05,758 - pyskl - INFO - Epoch [143][3600/3746] lr: 5.424e-04, eta: 4:36:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5873, top5_acc: 0.8119, loss_cls: 2.8961, loss: 2.8961 2023-12-28 18:06:06,628 - pyskl - INFO - Epoch [143][3700/3746] lr: 5.383e-04, eta: 4:35:26, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.5894, top5_acc: 0.8139, loss_cls: 2.8746, loss: 2.8746 2023-12-28 18:06:36,718 - pyskl - INFO - Saving checkpoint at 143 epochs 2023-12-28 18:08:37,868 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 18:08:38,926 - pyskl - INFO - top1_acc 0.4401 top5_acc 0.6872 2023-12-28 18:08:38,926 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 18:08:38,967 - pyskl - INFO - mean_acc 0.4397 2023-12-28 18:08:38,973 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_142.pth was removed 2023-12-28 18:08:39,304 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_143.pth. 2023-12-28 18:08:39,305 - pyskl - INFO - Best top1_acc is 0.4401 at 143 epoch. 2023-12-28 18:08:39,317 - pyskl - INFO - Epoch(val) [143][309] top1_acc: 0.4401, top5_acc: 0.6872, mean_class_accuracy: 0.4397 2023-12-28 18:12:14,007 - pyskl - INFO - Epoch [144][100/3746] lr: 5.323e-04, eta: 4:34:00, time: 2.147, data_time: 1.536, memory: 16177, top1_acc: 0.5988, top5_acc: 0.8233, loss_cls: 2.8290, loss: 2.8290 2023-12-28 18:13:14,123 - pyskl - INFO - Epoch [144][200/3746] lr: 5.283e-04, eta: 4:32:57, time: 0.601, data_time: 0.001, memory: 16177, top1_acc: 0.6028, top5_acc: 0.8295, loss_cls: 2.8086, loss: 2.8086 2023-12-28 18:14:14,301 - pyskl - INFO - Epoch [144][300/3746] lr: 5.242e-04, eta: 4:31:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.5970, top5_acc: 0.8242, loss_cls: 2.8303, loss: 2.8303 2023-12-28 18:15:14,254 - pyskl - INFO - Epoch [144][400/3746] lr: 5.202e-04, eta: 4:30:51, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6028, top5_acc: 0.8250, loss_cls: 2.8270, loss: 2.8270 2023-12-28 18:16:13,914 - pyskl - INFO - Epoch [144][500/3746] lr: 5.162e-04, eta: 4:29:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6027, top5_acc: 0.8237, loss_cls: 2.8337, loss: 2.8337 2023-12-28 18:17:13,687 - pyskl - INFO - Epoch [144][600/3746] lr: 5.122e-04, eta: 4:28:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6130, top5_acc: 0.8298, loss_cls: 2.7821, loss: 2.7821 2023-12-28 18:18:13,230 - pyskl - INFO - Epoch [144][700/3746] lr: 5.082e-04, eta: 4:27:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6030, top5_acc: 0.8300, loss_cls: 2.8095, loss: 2.8095 2023-12-28 18:19:12,945 - pyskl - INFO - Epoch [144][800/3746] lr: 5.042e-04, eta: 4:26:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5972, top5_acc: 0.8264, loss_cls: 2.8206, loss: 2.8206 2023-12-28 18:20:12,533 - pyskl - INFO - Epoch [144][900/3746] lr: 5.003e-04, eta: 4:25:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6009, top5_acc: 0.8295, loss_cls: 2.8265, loss: 2.8265 2023-12-28 18:21:13,019 - pyskl - INFO - Epoch [144][1000/3746] lr: 4.964e-04, eta: 4:24:33, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6058, top5_acc: 0.8247, loss_cls: 2.8251, loss: 2.8251 2023-12-28 18:22:13,765 - pyskl - INFO - Epoch [144][1100/3746] lr: 4.924e-04, eta: 4:23:30, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.5969, top5_acc: 0.8278, loss_cls: 2.8401, loss: 2.8401 2023-12-28 18:23:13,458 - pyskl - INFO - Epoch [144][1200/3746] lr: 4.885e-04, eta: 4:22:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6062, top5_acc: 0.8330, loss_cls: 2.7746, loss: 2.7746 2023-12-28 18:24:12,955 - pyskl - INFO - Epoch [144][1300/3746] lr: 4.846e-04, eta: 4:21:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6059, top5_acc: 0.8278, loss_cls: 2.8034, loss: 2.8034 2023-12-28 18:25:12,958 - pyskl - INFO - Epoch [144][1400/3746] lr: 4.808e-04, eta: 4:20:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5981, top5_acc: 0.8255, loss_cls: 2.8005, loss: 2.8005 2023-12-28 18:26:12,922 - pyskl - INFO - Epoch [144][1500/3746] lr: 4.769e-04, eta: 4:19:17, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5997, top5_acc: 0.8287, loss_cls: 2.8229, loss: 2.8229 2023-12-28 18:27:12,572 - pyskl - INFO - Epoch [144][1600/3746] lr: 4.731e-04, eta: 4:18:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6070, top5_acc: 0.8331, loss_cls: 2.7812, loss: 2.7812 2023-12-28 18:28:12,064 - pyskl - INFO - Epoch [144][1700/3746] lr: 4.692e-04, eta: 4:17:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5813, top5_acc: 0.8156, loss_cls: 2.8708, loss: 2.8708 2023-12-28 18:29:11,631 - pyskl - INFO - Epoch [144][1800/3746] lr: 4.654e-04, eta: 4:16:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5980, top5_acc: 0.8261, loss_cls: 2.8211, loss: 2.8211 2023-12-28 18:30:11,756 - pyskl - INFO - Epoch [144][1900/3746] lr: 4.616e-04, eta: 4:15:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5894, top5_acc: 0.8161, loss_cls: 2.8488, loss: 2.8488 2023-12-28 18:31:12,774 - pyskl - INFO - Epoch [144][2000/3746] lr: 4.578e-04, eta: 4:14:02, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.5922, top5_acc: 0.8247, loss_cls: 2.8338, loss: 2.8338 2023-12-28 18:32:13,245 - pyskl - INFO - Epoch [144][2100/3746] lr: 4.541e-04, eta: 4:12:59, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6056, top5_acc: 0.8233, loss_cls: 2.8321, loss: 2.8321 2023-12-28 18:33:13,001 - pyskl - INFO - Epoch [144][2200/3746] lr: 4.503e-04, eta: 4:11:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5978, top5_acc: 0.8225, loss_cls: 2.8460, loss: 2.8460 2023-12-28 18:34:12,971 - pyskl - INFO - Epoch [144][2300/3746] lr: 4.466e-04, eta: 4:10:53, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5928, top5_acc: 0.8264, loss_cls: 2.8395, loss: 2.8395 2023-12-28 18:35:13,483 - pyskl - INFO - Epoch [144][2400/3746] lr: 4.429e-04, eta: 4:09:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.5997, top5_acc: 0.8242, loss_cls: 2.8307, loss: 2.8307 2023-12-28 18:36:13,479 - pyskl - INFO - Epoch [144][2500/3746] lr: 4.392e-04, eta: 4:08:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5967, top5_acc: 0.8208, loss_cls: 2.8369, loss: 2.8369 2023-12-28 18:37:14,442 - pyskl - INFO - Epoch [144][2600/3746] lr: 4.355e-04, eta: 4:07:44, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.5928, top5_acc: 0.8216, loss_cls: 2.8232, loss: 2.8232 2023-12-28 18:38:14,325 - pyskl - INFO - Epoch [144][2700/3746] lr: 4.318e-04, eta: 4:06:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5970, top5_acc: 0.8306, loss_cls: 2.8110, loss: 2.8110 2023-12-28 18:39:14,191 - pyskl - INFO - Epoch [144][2800/3746] lr: 4.281e-04, eta: 4:05:38, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5983, top5_acc: 0.8175, loss_cls: 2.8400, loss: 2.8400 2023-12-28 18:40:13,828 - pyskl - INFO - Epoch [144][2900/3746] lr: 4.245e-04, eta: 4:04:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6019, top5_acc: 0.8277, loss_cls: 2.8240, loss: 2.8240 2023-12-28 18:41:13,337 - pyskl - INFO - Epoch [144][3000/3746] lr: 4.209e-04, eta: 4:03:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6003, top5_acc: 0.8219, loss_cls: 2.8100, loss: 2.8100 2023-12-28 18:42:12,767 - pyskl - INFO - Epoch [144][3100/3746] lr: 4.173e-04, eta: 4:02:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6005, top5_acc: 0.8337, loss_cls: 2.8013, loss: 2.8013 2023-12-28 18:43:12,393 - pyskl - INFO - Epoch [144][3200/3746] lr: 4.137e-04, eta: 4:01:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5883, top5_acc: 0.8275, loss_cls: 2.8398, loss: 2.8398 2023-12-28 18:44:11,826 - pyskl - INFO - Epoch [144][3300/3746] lr: 4.101e-04, eta: 4:00:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5792, top5_acc: 0.8213, loss_cls: 2.8764, loss: 2.8764 2023-12-28 18:45:11,805 - pyskl - INFO - Epoch [144][3400/3746] lr: 4.065e-04, eta: 3:59:19, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5892, top5_acc: 0.8206, loss_cls: 2.8407, loss: 2.8407 2023-12-28 18:46:11,299 - pyskl - INFO - Epoch [144][3500/3746] lr: 4.030e-04, eta: 3:58:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6052, top5_acc: 0.8259, loss_cls: 2.8113, loss: 2.8113 2023-12-28 18:47:10,952 - pyskl - INFO - Epoch [144][3600/3746] lr: 3.994e-04, eta: 3:57:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5894, top5_acc: 0.8133, loss_cls: 2.8583, loss: 2.8583 2023-12-28 18:48:11,462 - pyskl - INFO - Epoch [144][3700/3746] lr: 3.959e-04, eta: 3:56:10, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6008, top5_acc: 0.8245, loss_cls: 2.8186, loss: 2.8186 2023-12-28 18:48:41,771 - pyskl - INFO - Saving checkpoint at 144 epochs 2023-12-28 18:50:46,126 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 18:50:47,173 - pyskl - INFO - top1_acc 0.4410 top5_acc 0.6874 2023-12-28 18:50:47,173 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 18:50:47,210 - pyskl - INFO - mean_acc 0.4407 2023-12-28 18:50:47,217 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_143.pth was removed 2023-12-28 18:50:47,709 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. 2023-12-28 18:50:47,710 - pyskl - INFO - Best top1_acc is 0.4410 at 144 epoch. 2023-12-28 18:50:47,719 - pyskl - INFO - Epoch(val) [144][309] top1_acc: 0.4410, top5_acc: 0.6874, mean_class_accuracy: 0.4407 2023-12-28 18:54:11,994 - pyskl - INFO - Epoch [145][100/3746] lr: 3.908e-04, eta: 3:54:43, time: 2.043, data_time: 1.441, memory: 16177, top1_acc: 0.6208, top5_acc: 0.8375, loss_cls: 2.7298, loss: 2.7298 2023-12-28 18:55:12,103 - pyskl - INFO - Epoch [145][200/3746] lr: 3.873e-04, eta: 3:53:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6172, top5_acc: 0.8387, loss_cls: 2.7542, loss: 2.7542 2023-12-28 18:56:12,021 - pyskl - INFO - Epoch [145][300/3746] lr: 3.839e-04, eta: 3:52:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6142, top5_acc: 0.8305, loss_cls: 2.7745, loss: 2.7745 2023-12-28 18:57:12,215 - pyskl - INFO - Epoch [145][400/3746] lr: 3.804e-04, eta: 3:51:34, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6038, top5_acc: 0.8266, loss_cls: 2.7904, loss: 2.7904 2023-12-28 18:58:11,884 - pyskl - INFO - Epoch [145][500/3746] lr: 3.770e-04, eta: 3:50:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6103, top5_acc: 0.8341, loss_cls: 2.7765, loss: 2.7765 2023-12-28 18:59:11,782 - pyskl - INFO - Epoch [145][600/3746] lr: 3.736e-04, eta: 3:49:28, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5997, top5_acc: 0.8364, loss_cls: 2.7785, loss: 2.7785 2023-12-28 19:00:11,438 - pyskl - INFO - Epoch [145][700/3746] lr: 3.702e-04, eta: 3:48:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6130, top5_acc: 0.8350, loss_cls: 2.7645, loss: 2.7645 2023-12-28 19:01:10,906 - pyskl - INFO - Epoch [145][800/3746] lr: 3.668e-04, eta: 3:47:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6092, top5_acc: 0.8313, loss_cls: 2.7747, loss: 2.7747 2023-12-28 19:02:10,786 - pyskl - INFO - Epoch [145][900/3746] lr: 3.634e-04, eta: 3:46:18, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6042, top5_acc: 0.8341, loss_cls: 2.7875, loss: 2.7875 2023-12-28 19:03:10,451 - pyskl - INFO - Epoch [145][1000/3746] lr: 3.600e-04, eta: 3:45:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6059, top5_acc: 0.8311, loss_cls: 2.7796, loss: 2.7796 2023-12-28 19:04:09,992 - pyskl - INFO - Epoch [145][1100/3746] lr: 3.567e-04, eta: 3:44:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6030, top5_acc: 0.8311, loss_cls: 2.7898, loss: 2.7898 2023-12-28 19:05:09,978 - pyskl - INFO - Epoch [145][1200/3746] lr: 3.534e-04, eta: 3:43:09, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5984, top5_acc: 0.8333, loss_cls: 2.7953, loss: 2.7953 2023-12-28 19:06:09,631 - pyskl - INFO - Epoch [145][1300/3746] lr: 3.501e-04, eta: 3:42:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6103, top5_acc: 0.8363, loss_cls: 2.7648, loss: 2.7648 2023-12-28 19:07:09,421 - pyskl - INFO - Epoch [145][1400/3746] lr: 3.468e-04, eta: 3:41:03, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6111, top5_acc: 0.8309, loss_cls: 2.7813, loss: 2.7813 2023-12-28 19:08:09,764 - pyskl - INFO - Epoch [145][1500/3746] lr: 3.435e-04, eta: 3:40:00, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6023, top5_acc: 0.8233, loss_cls: 2.8197, loss: 2.8197 2023-12-28 19:09:09,448 - pyskl - INFO - Epoch [145][1600/3746] lr: 3.402e-04, eta: 3:38:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5970, top5_acc: 0.8314, loss_cls: 2.8062, loss: 2.8062 2023-12-28 19:10:09,528 - pyskl - INFO - Epoch [145][1700/3746] lr: 3.370e-04, eta: 3:37:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6091, top5_acc: 0.8313, loss_cls: 2.7700, loss: 2.7700 2023-12-28 19:11:09,321 - pyskl - INFO - Epoch [145][1800/3746] lr: 3.337e-04, eta: 3:36:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6078, top5_acc: 0.8322, loss_cls: 2.7744, loss: 2.7744 2023-12-28 19:12:09,028 - pyskl - INFO - Epoch [145][1900/3746] lr: 3.305e-04, eta: 3:35:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6138, top5_acc: 0.8352, loss_cls: 2.7533, loss: 2.7533 2023-12-28 19:13:10,055 - pyskl - INFO - Epoch [145][2000/3746] lr: 3.273e-04, eta: 3:34:45, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.5992, top5_acc: 0.8303, loss_cls: 2.8111, loss: 2.8111 2023-12-28 19:14:10,428 - pyskl - INFO - Epoch [145][2100/3746] lr: 3.241e-04, eta: 3:33:42, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.6030, top5_acc: 0.8283, loss_cls: 2.7882, loss: 2.7882 2023-12-28 19:15:10,037 - pyskl - INFO - Epoch [145][2200/3746] lr: 3.210e-04, eta: 3:32:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6078, top5_acc: 0.8286, loss_cls: 2.7944, loss: 2.7944 2023-12-28 19:16:09,952 - pyskl - INFO - Epoch [145][2300/3746] lr: 3.178e-04, eta: 3:31:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5983, top5_acc: 0.8287, loss_cls: 2.8210, loss: 2.8210 2023-12-28 19:17:09,442 - pyskl - INFO - Epoch [145][2400/3746] lr: 3.147e-04, eta: 3:30:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5995, top5_acc: 0.8284, loss_cls: 2.8074, loss: 2.8074 2023-12-28 19:18:09,080 - pyskl - INFO - Epoch [145][2500/3746] lr: 3.116e-04, eta: 3:29:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6041, top5_acc: 0.8255, loss_cls: 2.8131, loss: 2.8131 2023-12-28 19:19:09,297 - pyskl - INFO - Epoch [145][2600/3746] lr: 3.084e-04, eta: 3:28:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6045, top5_acc: 0.8331, loss_cls: 2.7904, loss: 2.7904 2023-12-28 19:20:09,357 - pyskl - INFO - Epoch [145][2700/3746] lr: 3.054e-04, eta: 3:27:24, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5962, top5_acc: 0.8273, loss_cls: 2.8305, loss: 2.8305 2023-12-28 19:21:09,110 - pyskl - INFO - Epoch [145][2800/3746] lr: 3.023e-04, eta: 3:26:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6016, top5_acc: 0.8286, loss_cls: 2.7924, loss: 2.7924 2023-12-28 19:22:08,886 - pyskl - INFO - Epoch [145][2900/3746] lr: 2.992e-04, eta: 3:25:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6106, top5_acc: 0.8300, loss_cls: 2.7722, loss: 2.7722 2023-12-28 19:23:08,716 - pyskl - INFO - Epoch [145][3000/3746] lr: 2.962e-04, eta: 3:24:15, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6102, top5_acc: 0.8275, loss_cls: 2.8057, loss: 2.8057 2023-12-28 19:24:08,168 - pyskl - INFO - Epoch [145][3100/3746] lr: 2.931e-04, eta: 3:23:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6175, top5_acc: 0.8345, loss_cls: 2.7559, loss: 2.7559 2023-12-28 19:25:08,527 - pyskl - INFO - Epoch [145][3200/3746] lr: 2.901e-04, eta: 3:22:08, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.6008, top5_acc: 0.8236, loss_cls: 2.8090, loss: 2.8090 2023-12-28 19:26:08,711 - pyskl - INFO - Epoch [145][3300/3746] lr: 2.871e-04, eta: 3:21:05, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6180, top5_acc: 0.8363, loss_cls: 2.7650, loss: 2.7650 2023-12-28 19:27:08,319 - pyskl - INFO - Epoch [145][3400/3746] lr: 2.841e-04, eta: 3:20:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6028, top5_acc: 0.8336, loss_cls: 2.7805, loss: 2.7805 2023-12-28 19:28:07,880 - pyskl - INFO - Epoch [145][3500/3746] lr: 2.812e-04, eta: 3:18:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6070, top5_acc: 0.8258, loss_cls: 2.8045, loss: 2.8045 2023-12-28 19:29:07,744 - pyskl - INFO - Epoch [145][3600/3746] lr: 2.782e-04, eta: 3:17:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6022, top5_acc: 0.8286, loss_cls: 2.7974, loss: 2.7974 2023-12-28 19:30:08,659 - pyskl - INFO - Epoch [145][3700/3746] lr: 2.753e-04, eta: 3:16:53, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.5948, top5_acc: 0.8219, loss_cls: 2.8471, loss: 2.8471 2023-12-28 19:30:39,150 - pyskl - INFO - Saving checkpoint at 145 epochs 2023-12-28 19:32:46,393 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 19:32:47,488 - pyskl - INFO - top1_acc 0.4426 top5_acc 0.6913 2023-12-28 19:32:47,488 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 19:32:47,528 - pyskl - INFO - mean_acc 0.4424 2023-12-28 19:32:47,534 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_144.pth was removed 2023-12-28 19:32:47,826 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_145.pth. 2023-12-28 19:32:47,826 - pyskl - INFO - Best top1_acc is 0.4426 at 145 epoch. 2023-12-28 19:32:47,836 - pyskl - INFO - Epoch(val) [145][309] top1_acc: 0.4426, top5_acc: 0.6913, mean_class_accuracy: 0.4424 2023-12-28 19:36:10,311 - pyskl - INFO - Epoch [146][100/3746] lr: 2.710e-04, eta: 3:15:25, time: 2.025, data_time: 1.421, memory: 16177, top1_acc: 0.6189, top5_acc: 0.8431, loss_cls: 2.7292, loss: 2.7292 2023-12-28 19:37:09,816 - pyskl - INFO - Epoch [146][200/3746] lr: 2.681e-04, eta: 3:14:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6216, top5_acc: 0.8377, loss_cls: 2.7410, loss: 2.7410 2023-12-28 19:38:09,673 - pyskl - INFO - Epoch [146][300/3746] lr: 2.652e-04, eta: 3:13:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6070, top5_acc: 0.8367, loss_cls: 2.7667, loss: 2.7667 2023-12-28 19:39:09,719 - pyskl - INFO - Epoch [146][400/3746] lr: 2.624e-04, eta: 3:12:16, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6178, top5_acc: 0.8398, loss_cls: 2.7497, loss: 2.7497 2023-12-28 19:40:09,516 - pyskl - INFO - Epoch [146][500/3746] lr: 2.595e-04, eta: 3:11:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6286, top5_acc: 0.8389, loss_cls: 2.7129, loss: 2.7129 2023-12-28 19:41:09,363 - pyskl - INFO - Epoch [146][600/3746] lr: 2.567e-04, eta: 3:10:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6170, top5_acc: 0.8420, loss_cls: 2.7278, loss: 2.7278 2023-12-28 19:42:09,731 - pyskl - INFO - Epoch [146][700/3746] lr: 2.539e-04, eta: 3:09:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.6186, top5_acc: 0.8406, loss_cls: 2.7418, loss: 2.7418 2023-12-28 19:43:10,185 - pyskl - INFO - Epoch [146][800/3746] lr: 2.511e-04, eta: 3:08:04, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6038, top5_acc: 0.8325, loss_cls: 2.7578, loss: 2.7578 2023-12-28 19:44:10,846 - pyskl - INFO - Epoch [146][900/3746] lr: 2.483e-04, eta: 3:07:01, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.6028, top5_acc: 0.8289, loss_cls: 2.7818, loss: 2.7818 2023-12-28 19:45:11,394 - pyskl - INFO - Epoch [146][1000/3746] lr: 2.455e-04, eta: 3:05:58, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6159, top5_acc: 0.8361, loss_cls: 2.7429, loss: 2.7429 2023-12-28 19:46:11,593 - pyskl - INFO - Epoch [146][1100/3746] lr: 2.427e-04, eta: 3:04:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6097, top5_acc: 0.8325, loss_cls: 2.7718, loss: 2.7718 2023-12-28 19:47:11,397 - pyskl - INFO - Epoch [146][1200/3746] lr: 2.400e-04, eta: 3:03:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6212, top5_acc: 0.8405, loss_cls: 2.7567, loss: 2.7567 2023-12-28 19:48:11,181 - pyskl - INFO - Epoch [146][1300/3746] lr: 2.373e-04, eta: 3:02:49, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6108, top5_acc: 0.8319, loss_cls: 2.7863, loss: 2.7863 2023-12-28 19:49:11,007 - pyskl - INFO - Epoch [146][1400/3746] lr: 2.345e-04, eta: 3:01:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6127, top5_acc: 0.8278, loss_cls: 2.7696, loss: 2.7696 2023-12-28 19:50:10,942 - pyskl - INFO - Epoch [146][1500/3746] lr: 2.318e-04, eta: 3:00:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6202, top5_acc: 0.8358, loss_cls: 2.7556, loss: 2.7556 2023-12-28 19:51:11,451 - pyskl - INFO - Epoch [146][1600/3746] lr: 2.292e-04, eta: 2:59:40, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6156, top5_acc: 0.8297, loss_cls: 2.7631, loss: 2.7631 2023-12-28 19:52:10,991 - pyskl - INFO - Epoch [146][1700/3746] lr: 2.265e-04, eta: 2:58:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6266, top5_acc: 0.8420, loss_cls: 2.7176, loss: 2.7176 2023-12-28 19:53:10,691 - pyskl - INFO - Epoch [146][1800/3746] lr: 2.239e-04, eta: 2:57:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6208, top5_acc: 0.8431, loss_cls: 2.7251, loss: 2.7251 2023-12-28 19:54:10,422 - pyskl - INFO - Epoch [146][1900/3746] lr: 2.212e-04, eta: 2:56:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6097, top5_acc: 0.8291, loss_cls: 2.7777, loss: 2.7777 2023-12-28 19:55:10,785 - pyskl - INFO - Epoch [146][2000/3746] lr: 2.186e-04, eta: 2:55:28, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.6134, top5_acc: 0.8311, loss_cls: 2.7753, loss: 2.7753 2023-12-28 19:56:11,321 - pyskl - INFO - Epoch [146][2100/3746] lr: 2.160e-04, eta: 2:54:25, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6097, top5_acc: 0.8247, loss_cls: 2.7856, loss: 2.7856 2023-12-28 19:57:11,005 - pyskl - INFO - Epoch [146][2200/3746] lr: 2.134e-04, eta: 2:53:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6158, top5_acc: 0.8411, loss_cls: 2.7312, loss: 2.7312 2023-12-28 19:58:10,597 - pyskl - INFO - Epoch [146][2300/3746] lr: 2.108e-04, eta: 2:52:19, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6231, top5_acc: 0.8375, loss_cls: 2.7483, loss: 2.7483 2023-12-28 19:59:10,599 - pyskl - INFO - Epoch [146][2400/3746] lr: 2.083e-04, eta: 2:51:16, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6017, top5_acc: 0.8320, loss_cls: 2.7817, loss: 2.7817 2023-12-28 20:00:10,793 - pyskl - INFO - Epoch [146][2500/3746] lr: 2.057e-04, eta: 2:50:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6117, top5_acc: 0.8366, loss_cls: 2.7522, loss: 2.7522 2023-12-28 20:01:10,863 - pyskl - INFO - Epoch [146][2600/3746] lr: 2.032e-04, eta: 2:49:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6180, top5_acc: 0.8375, loss_cls: 2.7419, loss: 2.7419 2023-12-28 20:02:11,105 - pyskl - INFO - Epoch [146][2700/3746] lr: 2.007e-04, eta: 2:48:07, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6047, top5_acc: 0.8314, loss_cls: 2.7949, loss: 2.7949 2023-12-28 20:03:10,435 - pyskl - INFO - Epoch [146][2800/3746] lr: 1.982e-04, eta: 2:47:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6075, top5_acc: 0.8337, loss_cls: 2.7575, loss: 2.7575 2023-12-28 20:04:10,209 - pyskl - INFO - Epoch [146][2900/3746] lr: 1.957e-04, eta: 2:46:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6053, top5_acc: 0.8339, loss_cls: 2.7804, loss: 2.7804 2023-12-28 20:05:09,836 - pyskl - INFO - Epoch [146][3000/3746] lr: 1.933e-04, eta: 2:44:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6217, top5_acc: 0.8417, loss_cls: 2.7222, loss: 2.7222 2023-12-28 20:06:09,219 - pyskl - INFO - Epoch [146][3100/3746] lr: 1.908e-04, eta: 2:43:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6088, top5_acc: 0.8264, loss_cls: 2.7779, loss: 2.7779 2023-12-28 20:07:08,763 - pyskl - INFO - Epoch [146][3200/3746] lr: 1.884e-04, eta: 2:42:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6108, top5_acc: 0.8353, loss_cls: 2.7657, loss: 2.7657 2023-12-28 20:08:08,515 - pyskl - INFO - Epoch [146][3300/3746] lr: 1.860e-04, eta: 2:41:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6189, top5_acc: 0.8372, loss_cls: 2.7273, loss: 2.7273 2023-12-28 20:09:08,069 - pyskl - INFO - Epoch [146][3400/3746] lr: 1.836e-04, eta: 2:40:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6078, top5_acc: 0.8317, loss_cls: 2.7873, loss: 2.7873 2023-12-28 20:10:07,926 - pyskl - INFO - Epoch [146][3500/3746] lr: 1.812e-04, eta: 2:39:42, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6061, top5_acc: 0.8373, loss_cls: 2.7644, loss: 2.7644 2023-12-28 20:11:07,805 - pyskl - INFO - Epoch [146][3600/3746] lr: 1.788e-04, eta: 2:38:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6103, top5_acc: 0.8339, loss_cls: 2.7776, loss: 2.7776 2023-12-28 20:12:07,552 - pyskl - INFO - Epoch [146][3700/3746] lr: 1.765e-04, eta: 2:37:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6075, top5_acc: 0.8348, loss_cls: 2.7555, loss: 2.7555 2023-12-28 20:12:37,203 - pyskl - INFO - Saving checkpoint at 146 epochs 2023-12-28 20:14:36,937 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 20:14:37,848 - pyskl - INFO - top1_acc 0.4435 top5_acc 0.6908 2023-12-28 20:14:37,848 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 20:14:37,888 - pyskl - INFO - mean_acc 0.4432 2023-12-28 20:14:37,894 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_145.pth was removed 2023-12-28 20:14:38,208 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_146.pth. 2023-12-28 20:14:38,209 - pyskl - INFO - Best top1_acc is 0.4435 at 146 epoch. 2023-12-28 20:14:38,218 - pyskl - INFO - Epoch(val) [146][309] top1_acc: 0.4435, top5_acc: 0.6908, mean_class_accuracy: 0.4432 2023-12-28 20:18:10,470 - pyskl - INFO - Epoch [147][100/3746] lr: 1.730e-04, eta: 2:36:08, time: 2.122, data_time: 1.514, memory: 16177, top1_acc: 0.6242, top5_acc: 0.8461, loss_cls: 2.7152, loss: 2.7152 2023-12-28 20:19:10,572 - pyskl - INFO - Epoch [147][200/3746] lr: 1.707e-04, eta: 2:35:05, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6169, top5_acc: 0.8403, loss_cls: 2.7464, loss: 2.7464 2023-12-28 20:20:10,495 - pyskl - INFO - Epoch [147][300/3746] lr: 1.684e-04, eta: 2:34:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6217, top5_acc: 0.8372, loss_cls: 2.7350, loss: 2.7350 2023-12-28 20:21:10,669 - pyskl - INFO - Epoch [147][400/3746] lr: 1.661e-04, eta: 2:32:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6341, top5_acc: 0.8453, loss_cls: 2.6817, loss: 2.6817 2023-12-28 20:22:10,575 - pyskl - INFO - Epoch [147][500/3746] lr: 1.639e-04, eta: 2:31:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6314, top5_acc: 0.8498, loss_cls: 2.6840, loss: 2.6840 2023-12-28 20:23:10,163 - pyskl - INFO - Epoch [147][600/3746] lr: 1.616e-04, eta: 2:30:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6175, top5_acc: 0.8350, loss_cls: 2.7488, loss: 2.7488 2023-12-28 20:24:09,686 - pyskl - INFO - Epoch [147][700/3746] lr: 1.594e-04, eta: 2:29:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6275, top5_acc: 0.8484, loss_cls: 2.6870, loss: 2.6870 2023-12-28 20:25:09,513 - pyskl - INFO - Epoch [147][800/3746] lr: 1.572e-04, eta: 2:28:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6098, top5_acc: 0.8302, loss_cls: 2.7732, loss: 2.7732 2023-12-28 20:26:09,654 - pyskl - INFO - Epoch [147][900/3746] lr: 1.550e-04, eta: 2:27:44, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6241, top5_acc: 0.8386, loss_cls: 2.7319, loss: 2.7319 2023-12-28 20:27:09,232 - pyskl - INFO - Epoch [147][1000/3746] lr: 1.528e-04, eta: 2:26:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6159, top5_acc: 0.8363, loss_cls: 2.7512, loss: 2.7512 2023-12-28 20:28:08,933 - pyskl - INFO - Epoch [147][1100/3746] lr: 1.506e-04, eta: 2:25:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6259, top5_acc: 0.8406, loss_cls: 2.7138, loss: 2.7138 2023-12-28 20:29:08,559 - pyskl - INFO - Epoch [147][1200/3746] lr: 1.484e-04, eta: 2:24:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6189, top5_acc: 0.8413, loss_cls: 2.7397, loss: 2.7397 2023-12-28 20:30:08,326 - pyskl - INFO - Epoch [147][1300/3746] lr: 1.463e-04, eta: 2:23:32, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6277, top5_acc: 0.8383, loss_cls: 2.7179, loss: 2.7179 2023-12-28 20:31:08,006 - pyskl - INFO - Epoch [147][1400/3746] lr: 1.442e-04, eta: 2:22:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6236, top5_acc: 0.8372, loss_cls: 2.7309, loss: 2.7309 2023-12-28 20:32:08,026 - pyskl - INFO - Epoch [147][1500/3746] lr: 1.420e-04, eta: 2:21:26, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6173, top5_acc: 0.8380, loss_cls: 2.7342, loss: 2.7342 2023-12-28 20:33:07,969 - pyskl - INFO - Epoch [147][1600/3746] lr: 1.399e-04, eta: 2:20:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6234, top5_acc: 0.8445, loss_cls: 2.7159, loss: 2.7159 2023-12-28 20:34:07,677 - pyskl - INFO - Epoch [147][1700/3746] lr: 1.379e-04, eta: 2:19:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6192, top5_acc: 0.8341, loss_cls: 2.7621, loss: 2.7621 2023-12-28 20:35:07,280 - pyskl - INFO - Epoch [147][1800/3746] lr: 1.358e-04, eta: 2:18:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6194, top5_acc: 0.8423, loss_cls: 2.7251, loss: 2.7251 2023-12-28 20:36:06,960 - pyskl - INFO - Epoch [147][1900/3746] lr: 1.337e-04, eta: 2:17:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6181, top5_acc: 0.8375, loss_cls: 2.7221, loss: 2.7221 2023-12-28 20:37:06,873 - pyskl - INFO - Epoch [147][2000/3746] lr: 1.317e-04, eta: 2:16:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6175, top5_acc: 0.8430, loss_cls: 2.7399, loss: 2.7399 2023-12-28 20:38:07,371 - pyskl - INFO - Epoch [147][2100/3746] lr: 1.297e-04, eta: 2:15:08, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6212, top5_acc: 0.8444, loss_cls: 2.7223, loss: 2.7223 2023-12-28 20:39:07,229 - pyskl - INFO - Epoch [147][2200/3746] lr: 1.277e-04, eta: 2:14:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6127, top5_acc: 0.8384, loss_cls: 2.7373, loss: 2.7373 2023-12-28 20:40:07,112 - pyskl - INFO - Epoch [147][2300/3746] lr: 1.257e-04, eta: 2:13:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6312, top5_acc: 0.8391, loss_cls: 2.7194, loss: 2.7194 2023-12-28 20:41:06,860 - pyskl - INFO - Epoch [147][2400/3746] lr: 1.237e-04, eta: 2:11:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6133, top5_acc: 0.8381, loss_cls: 2.7649, loss: 2.7649 2023-12-28 20:42:06,286 - pyskl - INFO - Epoch [147][2500/3746] lr: 1.218e-04, eta: 2:10:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6183, top5_acc: 0.8436, loss_cls: 2.7307, loss: 2.7307 2023-12-28 20:43:06,379 - pyskl - INFO - Epoch [147][2600/3746] lr: 1.198e-04, eta: 2:09:53, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6256, top5_acc: 0.8402, loss_cls: 2.7300, loss: 2.7300 2023-12-28 20:44:06,268 - pyskl - INFO - Epoch [147][2700/3746] lr: 1.179e-04, eta: 2:08:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6184, top5_acc: 0.8398, loss_cls: 2.7537, loss: 2.7537 2023-12-28 20:45:05,930 - pyskl - INFO - Epoch [147][2800/3746] lr: 1.160e-04, eta: 2:07:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6195, top5_acc: 0.8319, loss_cls: 2.7536, loss: 2.7536 2023-12-28 20:46:05,499 - pyskl - INFO - Epoch [147][2900/3746] lr: 1.141e-04, eta: 2:06:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6238, top5_acc: 0.8436, loss_cls: 2.7240, loss: 2.7240 2023-12-28 20:47:05,445 - pyskl - INFO - Epoch [147][3000/3746] lr: 1.122e-04, eta: 2:05:41, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6242, top5_acc: 0.8459, loss_cls: 2.7102, loss: 2.7102 2023-12-28 20:48:04,918 - pyskl - INFO - Epoch [147][3100/3746] lr: 1.103e-04, eta: 2:04:38, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6356, top5_acc: 0.8414, loss_cls: 2.7028, loss: 2.7028 2023-12-28 20:49:04,416 - pyskl - INFO - Epoch [147][3200/3746] lr: 1.085e-04, eta: 2:03:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6200, top5_acc: 0.8472, loss_cls: 2.7246, loss: 2.7246 2023-12-28 20:50:03,899 - pyskl - INFO - Epoch [147][3300/3746] lr: 1.067e-04, eta: 2:02:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6198, top5_acc: 0.8473, loss_cls: 2.7233, loss: 2.7233 2023-12-28 20:51:03,791 - pyskl - INFO - Epoch [147][3400/3746] lr: 1.048e-04, eta: 2:01:29, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6353, top5_acc: 0.8464, loss_cls: 2.7027, loss: 2.7027 2023-12-28 20:52:03,904 - pyskl - INFO - Epoch [147][3500/3746] lr: 1.030e-04, eta: 2:00:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6169, top5_acc: 0.8339, loss_cls: 2.7468, loss: 2.7468 2023-12-28 20:53:04,537 - pyskl - INFO - Epoch [147][3600/3746] lr: 1.013e-04, eta: 1:59:23, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.6219, top5_acc: 0.8434, loss_cls: 2.6979, loss: 2.6979 2023-12-28 20:54:04,814 - pyskl - INFO - Epoch [147][3700/3746] lr: 9.949e-05, eta: 1:58:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6331, top5_acc: 0.8450, loss_cls: 2.6971, loss: 2.6971 2023-12-28 20:54:34,655 - pyskl - INFO - Saving checkpoint at 147 epochs 2023-12-28 20:56:37,966 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 20:56:39,032 - pyskl - INFO - top1_acc 0.4461 top5_acc 0.6916 2023-12-28 20:56:39,032 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 20:56:39,075 - pyskl - INFO - mean_acc 0.4459 2023-12-28 20:56:39,081 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_146.pth was removed 2023-12-28 20:56:39,402 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_147.pth. 2023-12-28 20:56:39,403 - pyskl - INFO - Best top1_acc is 0.4461 at 147 epoch. 2023-12-28 20:56:39,413 - pyskl - INFO - Epoch(val) [147][309] top1_acc: 0.4461, top5_acc: 0.6916, mean_class_accuracy: 0.4459 2023-12-28 21:00:08,308 - pyskl - INFO - Epoch [148][100/3746] lr: 9.693e-05, eta: 1:56:50, time: 2.089, data_time: 1.478, memory: 16177, top1_acc: 0.6283, top5_acc: 0.8413, loss_cls: 2.7135, loss: 2.7135 2023-12-28 21:01:08,146 - pyskl - INFO - Epoch [148][200/3746] lr: 9.520e-05, eta: 1:55:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6298, top5_acc: 0.8466, loss_cls: 2.6940, loss: 2.6940 2023-12-28 21:02:07,627 - pyskl - INFO - Epoch [148][300/3746] lr: 9.348e-05, eta: 1:54:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6275, top5_acc: 0.8417, loss_cls: 2.7107, loss: 2.7107 2023-12-28 21:03:07,750 - pyskl - INFO - Epoch [148][400/3746] lr: 9.178e-05, eta: 1:53:41, time: 0.601, data_time: 0.001, memory: 16177, top1_acc: 0.6319, top5_acc: 0.8378, loss_cls: 2.7086, loss: 2.7086 2023-12-28 21:04:08,039 - pyskl - INFO - Epoch [148][500/3746] lr: 9.010e-05, eta: 1:52:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6294, top5_acc: 0.8428, loss_cls: 2.7134, loss: 2.7134 2023-12-28 21:05:07,980 - pyskl - INFO - Epoch [148][600/3746] lr: 8.843e-05, eta: 1:51:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6284, top5_acc: 0.8423, loss_cls: 2.7100, loss: 2.7100 2023-12-28 21:06:07,498 - pyskl - INFO - Epoch [148][700/3746] lr: 8.678e-05, eta: 1:50:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6255, top5_acc: 0.8488, loss_cls: 2.6898, loss: 2.6898 2023-12-28 21:07:07,190 - pyskl - INFO - Epoch [148][800/3746] lr: 8.514e-05, eta: 1:49:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6242, top5_acc: 0.8452, loss_cls: 2.7053, loss: 2.7053 2023-12-28 21:08:06,822 - pyskl - INFO - Epoch [148][900/3746] lr: 8.351e-05, eta: 1:48:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6300, top5_acc: 0.8484, loss_cls: 2.6796, loss: 2.6796 2023-12-28 21:09:06,588 - pyskl - INFO - Epoch [148][1000/3746] lr: 8.191e-05, eta: 1:47:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6312, top5_acc: 0.8378, loss_cls: 2.7045, loss: 2.7045 2023-12-28 21:10:06,180 - pyskl - INFO - Epoch [148][1100/3746] lr: 8.031e-05, eta: 1:46:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6297, top5_acc: 0.8502, loss_cls: 2.6835, loss: 2.6835 2023-12-28 21:11:05,556 - pyskl - INFO - Epoch [148][1200/3746] lr: 7.874e-05, eta: 1:45:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6277, top5_acc: 0.8403, loss_cls: 2.6943, loss: 2.6943 2023-12-28 21:12:05,430 - pyskl - INFO - Epoch [148][1300/3746] lr: 7.718e-05, eta: 1:44:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6255, top5_acc: 0.8441, loss_cls: 2.7080, loss: 2.7080 2023-12-28 21:13:05,952 - pyskl - INFO - Epoch [148][1400/3746] lr: 7.563e-05, eta: 1:43:11, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6167, top5_acc: 0.8481, loss_cls: 2.7198, loss: 2.7198 2023-12-28 21:14:06,374 - pyskl - INFO - Epoch [148][1500/3746] lr: 7.410e-05, eta: 1:42:08, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.6239, top5_acc: 0.8475, loss_cls: 2.7053, loss: 2.7053 2023-12-28 21:15:05,923 - pyskl - INFO - Epoch [148][1600/3746] lr: 7.259e-05, eta: 1:41:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6275, top5_acc: 0.8447, loss_cls: 2.6916, loss: 2.6916 2023-12-28 21:16:05,724 - pyskl - INFO - Epoch [148][1700/3746] lr: 7.109e-05, eta: 1:40:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6270, top5_acc: 0.8444, loss_cls: 2.7176, loss: 2.7176 2023-12-28 21:17:06,119 - pyskl - INFO - Epoch [148][1800/3746] lr: 6.961e-05, eta: 1:38:59, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.6225, top5_acc: 0.8505, loss_cls: 2.6972, loss: 2.6972 2023-12-28 21:18:06,684 - pyskl - INFO - Epoch [148][1900/3746] lr: 6.814e-05, eta: 1:37:56, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.6258, top5_acc: 0.8367, loss_cls: 2.7052, loss: 2.7052 2023-12-28 21:19:06,503 - pyskl - INFO - Epoch [148][2000/3746] lr: 6.669e-05, eta: 1:36:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6288, top5_acc: 0.8419, loss_cls: 2.7171, loss: 2.7171 2023-12-28 21:20:06,957 - pyskl - INFO - Epoch [148][2100/3746] lr: 6.526e-05, eta: 1:35:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6255, top5_acc: 0.8503, loss_cls: 2.6908, loss: 2.6908 2023-12-28 21:21:06,408 - pyskl - INFO - Epoch [148][2200/3746] lr: 6.384e-05, eta: 1:34:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6241, top5_acc: 0.8464, loss_cls: 2.6913, loss: 2.6913 2023-12-28 21:22:06,013 - pyskl - INFO - Epoch [148][2300/3746] lr: 6.243e-05, eta: 1:33:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6178, top5_acc: 0.8411, loss_cls: 2.7344, loss: 2.7344 2023-12-28 21:23:05,818 - pyskl - INFO - Epoch [148][2400/3746] lr: 6.104e-05, eta: 1:32:41, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6194, top5_acc: 0.8419, loss_cls: 2.7255, loss: 2.7255 2023-12-28 21:24:05,144 - pyskl - INFO - Epoch [148][2500/3746] lr: 5.967e-05, eta: 1:31:38, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6233, top5_acc: 0.8456, loss_cls: 2.7008, loss: 2.7008 2023-12-28 21:25:05,687 - pyskl - INFO - Epoch [148][2600/3746] lr: 5.831e-05, eta: 1:30:35, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6338, top5_acc: 0.8427, loss_cls: 2.7071, loss: 2.7071 2023-12-28 21:26:05,839 - pyskl - INFO - Epoch [148][2700/3746] lr: 5.697e-05, eta: 1:29:32, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6328, top5_acc: 0.8453, loss_cls: 2.6865, loss: 2.6865 2023-12-28 21:27:05,326 - pyskl - INFO - Epoch [148][2800/3746] lr: 5.564e-05, eta: 1:28:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6284, top5_acc: 0.8494, loss_cls: 2.6835, loss: 2.6835 2023-12-28 21:28:04,810 - pyskl - INFO - Epoch [148][2900/3746] lr: 5.433e-05, eta: 1:27:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6153, top5_acc: 0.8345, loss_cls: 2.7609, loss: 2.7609 2023-12-28 21:29:04,226 - pyskl - INFO - Epoch [148][3000/3746] lr: 5.304e-05, eta: 1:26:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6281, top5_acc: 0.8500, loss_cls: 2.6979, loss: 2.6979 2023-12-28 21:30:03,603 - pyskl - INFO - Epoch [148][3100/3746] lr: 5.176e-05, eta: 1:25:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6278, top5_acc: 0.8434, loss_cls: 2.7070, loss: 2.7070 2023-12-28 21:31:03,064 - pyskl - INFO - Epoch [148][3200/3746] lr: 5.050e-05, eta: 1:24:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6348, top5_acc: 0.8494, loss_cls: 2.6794, loss: 2.6794 2023-12-28 21:32:02,437 - pyskl - INFO - Epoch [148][3300/3746] lr: 4.925e-05, eta: 1:23:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6253, top5_acc: 0.8500, loss_cls: 2.6834, loss: 2.6834 2023-12-28 21:33:02,017 - pyskl - INFO - Epoch [148][3400/3746] lr: 4.801e-05, eta: 1:22:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6262, top5_acc: 0.8433, loss_cls: 2.7124, loss: 2.7124 2023-12-28 21:34:01,880 - pyskl - INFO - Epoch [148][3500/3746] lr: 4.680e-05, eta: 1:21:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6270, top5_acc: 0.8486, loss_cls: 2.6962, loss: 2.6962 2023-12-28 21:35:01,921 - pyskl - INFO - Epoch [148][3600/3746] lr: 4.560e-05, eta: 1:20:06, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6252, top5_acc: 0.8433, loss_cls: 2.7012, loss: 2.7012 2023-12-28 21:36:01,495 - pyskl - INFO - Epoch [148][3700/3746] lr: 4.441e-05, eta: 1:19:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6317, top5_acc: 0.8491, loss_cls: 2.6949, loss: 2.6949 2023-12-28 21:36:31,300 - pyskl - INFO - Saving checkpoint at 148 epochs 2023-12-28 21:38:32,147 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 21:38:33,197 - pyskl - INFO - top1_acc 0.4448 top5_acc 0.6923 2023-12-28 21:38:33,197 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 21:38:33,235 - pyskl - INFO - mean_acc 0.4445 2023-12-28 21:38:33,245 - pyskl - INFO - Epoch(val) [148][309] top1_acc: 0.4448, top5_acc: 0.6923, mean_class_accuracy: 0.4445 2023-12-28 21:41:57,840 - pyskl - INFO - Epoch [149][100/3746] lr: 4.271e-05, eta: 1:17:32, time: 2.046, data_time: 1.440, memory: 16177, top1_acc: 0.6242, top5_acc: 0.8442, loss_cls: 2.7050, loss: 2.7050 2023-12-28 21:42:57,606 - pyskl - INFO - Epoch [149][200/3746] lr: 4.156e-05, eta: 1:16:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6194, top5_acc: 0.8414, loss_cls: 2.7183, loss: 2.7183 2023-12-28 21:43:57,700 - pyskl - INFO - Epoch [149][300/3746] lr: 4.043e-05, eta: 1:15:26, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6311, top5_acc: 0.8367, loss_cls: 2.7165, loss: 2.7165 2023-12-28 21:44:57,646 - pyskl - INFO - Epoch [149][400/3746] lr: 3.931e-05, eta: 1:14:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6358, top5_acc: 0.8458, loss_cls: 2.6974, loss: 2.6974 2023-12-28 21:45:57,640 - pyskl - INFO - Epoch [149][500/3746] lr: 3.821e-05, eta: 1:13:20, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6239, top5_acc: 0.8455, loss_cls: 2.6984, loss: 2.6984 2023-12-28 21:46:58,956 - pyskl - INFO - Epoch [149][600/3746] lr: 3.713e-05, eta: 1:12:17, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.6364, top5_acc: 0.8492, loss_cls: 2.6722, loss: 2.6722 2023-12-28 21:47:59,036 - pyskl - INFO - Epoch [149][700/3746] lr: 3.606e-05, eta: 1:11:14, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6247, top5_acc: 0.8473, loss_cls: 2.6931, loss: 2.6931 2023-12-28 21:48:58,917 - pyskl - INFO - Epoch [149][800/3746] lr: 3.500e-05, eta: 1:10:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6284, top5_acc: 0.8436, loss_cls: 2.7134, loss: 2.7134 2023-12-28 21:49:58,580 - pyskl - INFO - Epoch [149][900/3746] lr: 3.397e-05, eta: 1:09:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6284, top5_acc: 0.8456, loss_cls: 2.7066, loss: 2.7066 2023-12-28 21:50:58,018 - pyskl - INFO - Epoch [149][1000/3746] lr: 3.294e-05, eta: 1:08:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6294, top5_acc: 0.8417, loss_cls: 2.6932, loss: 2.6932 2023-12-28 21:51:57,852 - pyskl - INFO - Epoch [149][1100/3746] lr: 3.194e-05, eta: 1:07:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6331, top5_acc: 0.8427, loss_cls: 2.6945, loss: 2.6945 2023-12-28 21:52:57,619 - pyskl - INFO - Epoch [149][1200/3746] lr: 3.095e-05, eta: 1:06:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6331, top5_acc: 0.8427, loss_cls: 2.6974, loss: 2.6974 2023-12-28 21:53:57,340 - pyskl - INFO - Epoch [149][1300/3746] lr: 2.997e-05, eta: 1:04:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6284, top5_acc: 0.8442, loss_cls: 2.7329, loss: 2.7329 2023-12-28 21:54:56,971 - pyskl - INFO - Epoch [149][1400/3746] lr: 2.901e-05, eta: 1:03:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6273, top5_acc: 0.8484, loss_cls: 2.7077, loss: 2.7077 2023-12-28 21:55:56,857 - pyskl - INFO - Epoch [149][1500/3746] lr: 2.807e-05, eta: 1:02:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6442, top5_acc: 0.8523, loss_cls: 2.6367, loss: 2.6367 2023-12-28 21:56:56,542 - pyskl - INFO - Epoch [149][1600/3746] lr: 2.714e-05, eta: 1:01:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6333, top5_acc: 0.8442, loss_cls: 2.7046, loss: 2.7046 2023-12-28 21:57:56,169 - pyskl - INFO - Epoch [149][1700/3746] lr: 2.622e-05, eta: 1:00:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6244, top5_acc: 0.8392, loss_cls: 2.7134, loss: 2.7134 2023-12-28 21:58:56,200 - pyskl - INFO - Epoch [149][1800/3746] lr: 2.533e-05, eta: 0:59:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6228, top5_acc: 0.8500, loss_cls: 2.6827, loss: 2.6827 2023-12-28 21:59:55,921 - pyskl - INFO - Epoch [149][1900/3746] lr: 2.444e-05, eta: 0:58:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6295, top5_acc: 0.8538, loss_cls: 2.6675, loss: 2.6675 2023-12-28 22:00:56,118 - pyskl - INFO - Epoch [149][2000/3746] lr: 2.358e-05, eta: 0:57:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6394, top5_acc: 0.8506, loss_cls: 2.6604, loss: 2.6604 2023-12-28 22:01:57,114 - pyskl - INFO - Epoch [149][2100/3746] lr: 2.273e-05, eta: 0:56:33, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.6308, top5_acc: 0.8494, loss_cls: 2.6768, loss: 2.6768 2023-12-28 22:02:57,055 - pyskl - INFO - Epoch [149][2200/3746] lr: 2.189e-05, eta: 0:55:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6375, top5_acc: 0.8512, loss_cls: 2.6568, loss: 2.6568 2023-12-28 22:03:56,861 - pyskl - INFO - Epoch [149][2300/3746] lr: 2.107e-05, eta: 0:54:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6333, top5_acc: 0.8500, loss_cls: 2.6773, loss: 2.6773 2023-12-28 22:04:56,602 - pyskl - INFO - Epoch [149][2400/3746] lr: 2.027e-05, eta: 0:53:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6200, top5_acc: 0.8452, loss_cls: 2.7145, loss: 2.7145 2023-12-28 22:05:56,422 - pyskl - INFO - Epoch [149][2500/3746] lr: 1.948e-05, eta: 0:52:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6423, top5_acc: 0.8508, loss_cls: 2.6601, loss: 2.6601 2023-12-28 22:06:56,964 - pyskl - INFO - Epoch [149][2600/3746] lr: 1.871e-05, eta: 0:51:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6245, top5_acc: 0.8450, loss_cls: 2.7071, loss: 2.7071 2023-12-28 22:07:57,496 - pyskl - INFO - Epoch [149][2700/3746] lr: 1.795e-05, eta: 0:50:15, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6219, top5_acc: 0.8392, loss_cls: 2.7057, loss: 2.7057 2023-12-28 22:08:57,730 - pyskl - INFO - Epoch [149][2800/3746] lr: 1.721e-05, eta: 0:49:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6298, top5_acc: 0.8498, loss_cls: 2.6761, loss: 2.6761 2023-12-28 22:09:57,255 - pyskl - INFO - Epoch [149][2900/3746] lr: 1.649e-05, eta: 0:48:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6353, top5_acc: 0.8459, loss_cls: 2.6859, loss: 2.6859 2023-12-28 22:10:56,855 - pyskl - INFO - Epoch [149][3000/3746] lr: 1.578e-05, eta: 0:47:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6344, top5_acc: 0.8502, loss_cls: 2.6737, loss: 2.6737 2023-12-28 22:11:56,408 - pyskl - INFO - Epoch [149][3100/3746] lr: 1.508e-05, eta: 0:46:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6214, top5_acc: 0.8448, loss_cls: 2.7008, loss: 2.7008 2023-12-28 22:12:56,199 - pyskl - INFO - Epoch [149][3200/3746] lr: 1.440e-05, eta: 0:45:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6325, top5_acc: 0.8472, loss_cls: 2.6819, loss: 2.6819 2023-12-28 22:13:55,653 - pyskl - INFO - Epoch [149][3300/3746] lr: 1.374e-05, eta: 0:43:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6388, top5_acc: 0.8539, loss_cls: 2.6553, loss: 2.6553 2023-12-28 22:14:55,370 - pyskl - INFO - Epoch [149][3400/3746] lr: 1.309e-05, eta: 0:42:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6266, top5_acc: 0.8384, loss_cls: 2.7158, loss: 2.7158 2023-12-28 22:15:56,045 - pyskl - INFO - Epoch [149][3500/3746] lr: 1.246e-05, eta: 0:41:51, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.6328, top5_acc: 0.8484, loss_cls: 2.6784, loss: 2.6784 2023-12-28 22:16:56,454 - pyskl - INFO - Epoch [149][3600/3746] lr: 1.184e-05, eta: 0:40:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.6327, top5_acc: 0.8456, loss_cls: 2.6890, loss: 2.6890 2023-12-28 22:17:55,987 - pyskl - INFO - Epoch [149][3700/3746] lr: 1.124e-05, eta: 0:39:46, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6320, top5_acc: 0.8455, loss_cls: 2.6940, loss: 2.6940 2023-12-28 22:18:25,796 - pyskl - INFO - Saving checkpoint at 149 epochs 2023-12-28 22:20:26,629 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 22:20:27,679 - pyskl - INFO - top1_acc 0.4435 top5_acc 0.6925 2023-12-28 22:20:27,679 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 22:20:27,720 - pyskl - INFO - mean_acc 0.4433 2023-12-28 22:20:27,729 - pyskl - INFO - Epoch(val) [149][309] top1_acc: 0.4435, top5_acc: 0.6925, mean_class_accuracy: 0.4433 2023-12-28 22:23:50,689 - pyskl - INFO - Epoch [150][100/3746] lr: 1.039e-05, eta: 0:38:14, time: 2.030, data_time: 1.421, memory: 16177, top1_acc: 0.6323, top5_acc: 0.8470, loss_cls: 2.6955, loss: 2.6955 2023-12-28 22:24:50,473 - pyskl - INFO - Epoch [150][200/3746] lr: 9.832e-06, eta: 0:37:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6308, top5_acc: 0.8469, loss_cls: 2.6889, loss: 2.6889 2023-12-28 22:25:50,371 - pyskl - INFO - Epoch [150][300/3746] lr: 9.285e-06, eta: 0:36:09, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6338, top5_acc: 0.8517, loss_cls: 2.6814, loss: 2.6814 2023-12-28 22:26:50,289 - pyskl - INFO - Epoch [150][400/3746] lr: 8.754e-06, eta: 0:35:06, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6408, top5_acc: 0.8527, loss_cls: 2.6525, loss: 2.6525 2023-12-28 22:27:50,403 - pyskl - INFO - Epoch [150][500/3746] lr: 8.239e-06, eta: 0:34:03, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6417, top5_acc: 0.8477, loss_cls: 2.6526, loss: 2.6526 2023-12-28 22:28:50,572 - pyskl - INFO - Epoch [150][600/3746] lr: 7.739e-06, eta: 0:33:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6441, top5_acc: 0.8494, loss_cls: 2.6746, loss: 2.6746 2023-12-28 22:29:50,786 - pyskl - INFO - Epoch [150][700/3746] lr: 7.255e-06, eta: 0:31:57, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6366, top5_acc: 0.8517, loss_cls: 2.6623, loss: 2.6623 2023-12-28 22:30:51,828 - pyskl - INFO - Epoch [150][800/3746] lr: 6.787e-06, eta: 0:30:54, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.6369, top5_acc: 0.8475, loss_cls: 2.6699, loss: 2.6699 2023-12-28 22:31:52,681 - pyskl - INFO - Epoch [150][900/3746] lr: 6.334e-06, eta: 0:29:51, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.6391, top5_acc: 0.8491, loss_cls: 2.6647, loss: 2.6647 2023-12-28 22:32:53,342 - pyskl - INFO - Epoch [150][1000/3746] lr: 5.897e-06, eta: 0:28:48, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.6289, top5_acc: 0.8544, loss_cls: 2.6668, loss: 2.6668 2023-12-28 22:33:54,031 - pyskl - INFO - Epoch [150][1100/3746] lr: 5.475e-06, eta: 0:27:45, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.6309, top5_acc: 0.8470, loss_cls: 2.6912, loss: 2.6912 2023-12-28 22:34:54,626 - pyskl - INFO - Epoch [150][1200/3746] lr: 5.070e-06, eta: 0:26:42, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.6381, top5_acc: 0.8505, loss_cls: 2.6664, loss: 2.6664 2023-12-28 22:35:54,852 - pyskl - INFO - Epoch [150][1300/3746] lr: 4.679e-06, eta: 0:25:39, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6220, top5_acc: 0.8445, loss_cls: 2.7210, loss: 2.7210 2023-12-28 22:36:54,805 - pyskl - INFO - Epoch [150][1400/3746] lr: 4.305e-06, eta: 0:24:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6353, top5_acc: 0.8453, loss_cls: 2.6865, loss: 2.6865 2023-12-28 22:37:54,894 - pyskl - INFO - Epoch [150][1500/3746] lr: 3.946e-06, eta: 0:23:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6341, top5_acc: 0.8503, loss_cls: 2.6703, loss: 2.6703 2023-12-28 22:38:54,953 - pyskl - INFO - Epoch [150][1600/3746] lr: 3.602e-06, eta: 0:22:30, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6238, top5_acc: 0.8472, loss_cls: 2.6986, loss: 2.6986 2023-12-28 22:39:54,711 - pyskl - INFO - Epoch [150][1700/3746] lr: 3.275e-06, eta: 0:21:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6300, top5_acc: 0.8467, loss_cls: 2.6861, loss: 2.6861 2023-12-28 22:40:54,351 - pyskl - INFO - Epoch [150][1800/3746] lr: 2.962e-06, eta: 0:20:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6217, top5_acc: 0.8505, loss_cls: 2.6958, loss: 2.6958 2023-12-28 22:41:54,251 - pyskl - INFO - Epoch [150][1900/3746] lr: 2.666e-06, eta: 0:19:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6288, top5_acc: 0.8470, loss_cls: 2.7048, loss: 2.7048 2023-12-28 22:42:54,592 - pyskl - INFO - Epoch [150][2000/3746] lr: 2.385e-06, eta: 0:18:18, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6303, top5_acc: 0.8433, loss_cls: 2.7027, loss: 2.7027 2023-12-28 22:43:55,600 - pyskl - INFO - Epoch [150][2100/3746] lr: 2.120e-06, eta: 0:17:15, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.6336, top5_acc: 0.8511, loss_cls: 2.6722, loss: 2.6722 2023-12-28 22:44:55,286 - pyskl - INFO - Epoch [150][2200/3746] lr: 1.870e-06, eta: 0:16:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6312, top5_acc: 0.8486, loss_cls: 2.6769, loss: 2.6769 2023-12-28 22:45:55,143 - pyskl - INFO - Epoch [150][2300/3746] lr: 1.636e-06, eta: 0:15:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6322, top5_acc: 0.8489, loss_cls: 2.6789, loss: 2.6789 2023-12-28 22:46:54,924 - pyskl - INFO - Epoch [150][2400/3746] lr: 1.418e-06, eta: 0:14:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6405, top5_acc: 0.8569, loss_cls: 2.6413, loss: 2.6413 2023-12-28 22:47:54,534 - pyskl - INFO - Epoch [150][2500/3746] lr: 1.215e-06, eta: 0:13:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6367, top5_acc: 0.8470, loss_cls: 2.6832, loss: 2.6832 2023-12-28 22:48:54,588 - pyskl - INFO - Epoch [150][2600/3746] lr: 1.028e-06, eta: 0:12:01, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6389, top5_acc: 0.8581, loss_cls: 2.6462, loss: 2.6462 2023-12-28 22:49:55,506 - pyskl - INFO - Epoch [150][2700/3746] lr: 8.567e-07, eta: 0:10:58, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.6319, top5_acc: 0.8538, loss_cls: 2.6522, loss: 2.6522 2023-12-28 22:50:55,498 - pyskl - INFO - Epoch [150][2800/3746] lr: 7.008e-07, eta: 0:09:55, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6211, top5_acc: 0.8413, loss_cls: 2.7121, loss: 2.7121 2023-12-28 22:51:55,513 - pyskl - INFO - Epoch [150][2900/3746] lr: 5.606e-07, eta: 0:08:52, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6222, top5_acc: 0.8416, loss_cls: 2.7214, loss: 2.7214 2023-12-28 22:52:55,706 - pyskl - INFO - Epoch [150][3000/3746] lr: 4.361e-07, eta: 0:07:49, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6277, top5_acc: 0.8411, loss_cls: 2.7180, loss: 2.7180 2023-12-28 22:53:55,330 - pyskl - INFO - Epoch [150][3100/3746] lr: 3.271e-07, eta: 0:06:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6298, top5_acc: 0.8480, loss_cls: 2.6951, loss: 2.6951 2023-12-28 22:54:55,074 - pyskl - INFO - Epoch [150][3200/3746] lr: 2.338e-07, eta: 0:05:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6359, top5_acc: 0.8488, loss_cls: 2.6690, loss: 2.6690 2023-12-28 22:55:54,768 - pyskl - INFO - Epoch [150][3300/3746] lr: 1.561e-07, eta: 0:04:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6322, top5_acc: 0.8495, loss_cls: 2.6939, loss: 2.6939 2023-12-28 22:56:55,313 - pyskl - INFO - Epoch [150][3400/3746] lr: 9.410e-08, eta: 0:03:37, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6361, top5_acc: 0.8452, loss_cls: 2.6917, loss: 2.6917 2023-12-28 22:57:55,854 - pyskl - INFO - Epoch [150][3500/3746] lr: 4.768e-08, eta: 0:02:34, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6336, top5_acc: 0.8484, loss_cls: 2.6838, loss: 2.6838 2023-12-28 22:58:55,574 - pyskl - INFO - Epoch [150][3600/3746] lr: 1.689e-08, eta: 0:01:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6417, top5_acc: 0.8489, loss_cls: 2.6559, loss: 2.6559 2023-12-28 22:59:55,410 - pyskl - INFO - Epoch [150][3700/3746] lr: 1.726e-09, eta: 0:00:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6344, top5_acc: 0.8503, loss_cls: 2.6858, loss: 2.6858 2023-12-28 23:00:25,562 - pyskl - INFO - Saving checkpoint at 150 epochs 2023-12-28 23:02:36,045 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-28 23:02:37,099 - pyskl - INFO - top1_acc 0.4458 top5_acc 0.6907 2023-12-28 23:02:37,099 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-28 23:02:37,142 - pyskl - INFO - mean_acc 0.4455 2023-12-28 23:02:37,152 - pyskl - INFO - Epoch(val) [150][309] top1_acc: 0.4458, top5_acc: 0.6907, mean_class_accuracy: 0.4455 2023-12-28 23:02:50,663 - pyskl - INFO - 19743 videos remain after valid thresholding 2023-12-28 23:16:17,390 - pyskl - INFO - Testing results of the last checkpoint 2023-12-28 23:16:17,390 - pyskl - INFO - top1_acc: 0.4565 2023-12-28 23:16:17,390 - pyskl - INFO - top5_acc: 0.7003 2023-12-28 23:16:17,390 - pyskl - INFO - mean_class_accuracy: 0.4563 2023-12-28 23:16:17,391 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/k400/k_2/best_top1_acc_epoch_147.pth 2023-12-28 23:30:11,657 - pyskl - INFO - Testing results of the best checkpoint 2023-12-28 23:30:11,657 - pyskl - INFO - top1_acc: 0.4558 2023-12-28 23:30:11,657 - pyskl - INFO - top5_acc: 0.7011 2023-12-28 23:30:11,657 - pyskl - INFO - mean_class_accuracy: 0.4556