diff --git "a/k400/j_3/20240101_134851.log" "b/k400/j_3/20240101_134851.log" new file mode 100644--- /dev/null +++ "b/k400/j_3/20240101_134851.log" @@ -0,0 +1,3714 @@ +2024-01-01 13:48:51,403 - 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+ +------------------------------------------------------------ + +2024-01-01 13:48:52,407 - pyskl - INFO - Config: modality = 'j' +graph = 'coco_new' +work_dir = './work_dirs/test_prototype/k400/j_3' +model = dict( + type='RecognizerGCN_7_1_1', + backbone=dict( + type='GCN_7_1_2', + 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_12', 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=['j']), + 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=['j']), + 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=['j']), + 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=['j']), + 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=['j']), + 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=['j']), + 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) +resume_from = './work_dirs/test_prototype/k400/j_3/latest.pth' + +2024-01-01 13:48:52,407 - pyskl - INFO - Set random seed to 1110447636, deterministic: False +2024-01-01 13:49:01,948 - pyskl - INFO - 239737 videos remain after valid thresholding +2024-01-01 13:49:17,200 - pyskl - INFO - 19743 videos remain after valid thresholding +2024-01-01 13:49:17,205 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/k400/j_3/latest.pth +2024-01-01 13:49:17,676 - pyskl - INFO - resumed epoch 77, iter 288442 +2024-01-01 13:49:17,681 - pyskl - INFO - Start running, host: hao.wang@gdp, work_dir: /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3 +2024-01-01 13:49:17,681 - 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 + -------------------- +2024-01-01 13:49:17,681 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2024-01-01 13:49:17,682 - pyskl - INFO - Checkpoints will be saved to /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3 by HardDiskBackend. +2024-01-01 13:52:41,328 - pyskl - INFO - Epoch [78][100/3746] lr: 4.788e-02, eta: 6 days, 10:37:52, time: 2.036, data_time: 1.428, memory: 16180, top1_acc: 0.3220, top5_acc: 0.5831, loss_cls: 5.5168, loss: 5.5168 +2024-01-01 13:53:40,829 - pyskl - INFO - Epoch [78][200/3746] lr: 4.785e-02, eta: 4 days, 3:52:07, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3177, top5_acc: 0.5958, loss_cls: 5.9395, loss: 5.9395 +2024-01-01 13:54:40,297 - pyskl - INFO - Epoch [78][300/3746] lr: 4.782e-02, eta: 3 days, 9:35:43, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3200, top5_acc: 0.5791, loss_cls: 6.2509, loss: 6.2509 +2024-01-01 13:55:40,116 - pyskl - INFO - Epoch [78][400/3746] lr: 4.779e-02, eta: 3 days, 0:31:01, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3166, top5_acc: 0.5722, loss_cls: 6.1202, loss: 6.1202 +2024-01-01 13:56:39,751 - pyskl - INFO - Epoch [78][500/3746] lr: 4.777e-02, eta: 2 days, 19:02:07, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3245, top5_acc: 0.5938, loss_cls: 5.9018, loss: 5.9018 +2024-01-01 13:57:39,342 - pyskl - INFO - Epoch [78][600/3746] lr: 4.774e-02, eta: 2 days, 15:22:11, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3164, top5_acc: 0.5828, loss_cls: 5.8463, loss: 5.8463 +2024-01-01 13:58:39,222 - pyskl - INFO - Epoch [78][700/3746] lr: 4.771e-02, eta: 2 days, 12:46:42, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3197, top5_acc: 0.5822, loss_cls: 5.7991, loss: 5.7991 +2024-01-01 13:59:38,981 - pyskl - INFO - Epoch [78][800/3746] lr: 4.768e-02, eta: 2 days, 10:49:08, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3144, top5_acc: 0.5813, loss_cls: 5.7302, loss: 5.7302 +2024-01-01 14:00:38,847 - pyskl - INFO - Epoch [78][900/3746] lr: 4.766e-02, eta: 2 days, 9:18:01, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3113, top5_acc: 0.5798, loss_cls: 5.6932, loss: 5.6932 +2024-01-01 14:01:38,465 - pyskl - INFO - Epoch [78][1000/3746] lr: 4.763e-02, eta: 2 days, 8:03:48, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3030, top5_acc: 0.5683, loss_cls: 5.7648, loss: 5.7648 +2024-01-01 14:02:38,058 - pyskl - INFO - Epoch [78][1100/3746] lr: 4.760e-02, eta: 2 days, 7:02:47, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3100, top5_acc: 0.5778, loss_cls: 5.6665, loss: 5.6665 +2024-01-01 14:03:37,593 - pyskl - INFO - Epoch [78][1200/3746] lr: 4.757e-02, eta: 2 days, 6:11:34, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3033, top5_acc: 0.5764, loss_cls: 5.6853, loss: 5.6853 +2024-01-01 14:04:37,284 - pyskl - INFO - Epoch [78][1300/3746] lr: 4.754e-02, eta: 2 days, 5:28:37, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3208, top5_acc: 0.5787, loss_cls: 5.6028, loss: 5.6028 +2024-01-01 14:05:36,986 - pyskl - INFO - Epoch [78][1400/3746] lr: 4.752e-02, eta: 2 days, 4:51:41, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3102, top5_acc: 0.5775, loss_cls: 5.6653, loss: 5.6653 +2024-01-01 14:06:36,781 - pyskl - INFO - Epoch [78][1500/3746] lr: 4.749e-02, eta: 2 days, 4:19:50, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3050, top5_acc: 0.5669, loss_cls: 5.6759, loss: 5.6759 +2024-01-01 14:07:36,247 - pyskl - INFO - Epoch [78][1600/3746] lr: 4.746e-02, eta: 2 days, 3:50:54, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3170, top5_acc: 0.5809, loss_cls: 5.5745, loss: 5.5745 +2024-01-01 14:08:35,868 - pyskl - INFO - Epoch [78][1700/3746] lr: 4.743e-02, eta: 2 days, 3:25:41, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3180, top5_acc: 0.5737, loss_cls: 5.6088, loss: 5.6088 +2024-01-01 14:09:35,448 - pyskl - INFO - Epoch [78][1800/3746] lr: 4.740e-02, eta: 2 days, 3:03:03, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3073, top5_acc: 0.5717, loss_cls: 5.6183, loss: 5.6183 +2024-01-01 14:10:35,264 - pyskl - INFO - Epoch [78][1900/3746] lr: 4.738e-02, eta: 2 days, 2:43:15, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3161, top5_acc: 0.5834, loss_cls: 5.5677, loss: 5.5677 +2024-01-01 14:11:35,124 - pyskl - INFO - Epoch [78][2000/3746] lr: 4.735e-02, eta: 2 days, 2:25:26, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3141, top5_acc: 0.5813, loss_cls: 5.5823, loss: 5.5823 +2024-01-01 14:12:34,955 - pyskl - INFO - Epoch [78][2100/3746] lr: 4.732e-02, eta: 2 days, 2:09:09, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3130, top5_acc: 0.5741, loss_cls: 5.5496, loss: 5.5496 +2024-01-01 14:13:34,757 - pyskl - INFO - Epoch [78][2200/3746] lr: 4.729e-02, eta: 2 days, 1:54:12, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3061, top5_acc: 0.5608, loss_cls: 5.6251, loss: 5.6251 +2024-01-01 14:14:34,202 - pyskl - INFO - Epoch [78][2300/3746] lr: 4.726e-02, eta: 2 days, 1:39:46, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3219, top5_acc: 0.5737, loss_cls: 5.5705, loss: 5.5705 +2024-01-01 14:15:34,014 - pyskl - INFO - Epoch [78][2400/3746] lr: 4.724e-02, eta: 2 days, 1:27:08, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3033, top5_acc: 0.5661, loss_cls: 5.6065, loss: 5.6065 +2024-01-01 14:16:33,608 - pyskl - INFO - Epoch [78][2500/3746] lr: 4.721e-02, eta: 2 days, 1:15:03, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3180, top5_acc: 0.5786, loss_cls: 5.5669, loss: 5.5669 +2024-01-01 14:17:33,013 - pyskl - INFO - Epoch [78][2600/3746] lr: 4.718e-02, eta: 2 days, 1:03:29, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3063, top5_acc: 0.5650, loss_cls: 5.5893, loss: 5.5893 +2024-01-01 14:18:32,570 - pyskl - INFO - Epoch [78][2700/3746] lr: 4.715e-02, eta: 2 days, 0:52:58, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3047, top5_acc: 0.5728, loss_cls: 5.5530, loss: 5.5530 +2024-01-01 14:19:32,163 - pyskl - INFO - Epoch [78][2800/3746] lr: 4.712e-02, eta: 2 days, 0:43:10, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3161, top5_acc: 0.5698, loss_cls: 5.5382, loss: 5.5382 +2024-01-01 14:20:32,047 - pyskl - INFO - Epoch [78][2900/3746] lr: 4.710e-02, eta: 2 days, 0:34:27, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3162, top5_acc: 0.5723, loss_cls: 5.5386, loss: 5.5386 +2024-01-01 14:21:32,310 - pyskl - INFO - Epoch [78][3000/3746] lr: 4.707e-02, eta: 2 days, 0:26:48, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3208, top5_acc: 0.5784, loss_cls: 5.5365, loss: 5.5365 +2024-01-01 14:22:32,611 - pyskl - INFO - Epoch [78][3100/3746] lr: 4.704e-02, eta: 2 days, 0:19:38, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.2952, top5_acc: 0.5631, loss_cls: 5.6043, loss: 5.6043 +2024-01-01 14:23:32,765 - pyskl - INFO - Epoch [78][3200/3746] lr: 4.701e-02, eta: 2 days, 0:12:40, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3120, top5_acc: 0.5614, loss_cls: 5.5863, loss: 5.5863 +2024-01-01 14:24:32,563 - pyskl - INFO - Epoch [78][3300/3746] lr: 4.699e-02, eta: 2 days, 0:05:33, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3133, top5_acc: 0.5845, loss_cls: 5.5221, loss: 5.5221 +2024-01-01 14:25:32,961 - pyskl - INFO - Epoch [78][3400/3746] lr: 4.696e-02, eta: 1 day, 23:59:36, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3070, top5_acc: 0.5695, loss_cls: 5.5756, loss: 5.5756 +2024-01-01 14:26:33,539 - pyskl - INFO - Epoch [78][3500/3746] lr: 4.693e-02, eta: 1 day, 23:54:10, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3272, top5_acc: 0.5833, loss_cls: 5.4904, loss: 5.4904 +2024-01-01 14:27:33,436 - pyskl - INFO - Epoch [78][3600/3746] lr: 4.690e-02, eta: 1 day, 23:48:07, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3184, top5_acc: 0.5848, loss_cls: 5.4854, loss: 5.4854 +2024-01-01 14:28:33,385 - pyskl - INFO - Epoch [78][3700/3746] lr: 4.687e-02, eta: 1 day, 23:42:25, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3017, top5_acc: 0.5622, loss_cls: 5.6033, loss: 5.6033 +2024-01-01 14:29:03,442 - pyskl - INFO - Saving checkpoint at 78 epochs +2024-01-01 14:31:03,742 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 14:31:04,587 - pyskl - INFO - +top1_acc 0.2615 +top5_acc 0.5095 +2024-01-01 14:31:04,587 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 14:31:04,617 - pyskl - INFO - +mean_acc 0.2612 +2024-01-01 14:31:04,837 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_78.pth. +2024-01-01 14:31:04,837 - pyskl - INFO - Best top1_acc is 0.2615 at 78 epoch. +2024-01-01 14:31:04,844 - pyskl - INFO - Epoch(val) [78][309] top1_acc: 0.2615, top5_acc: 0.5095, mean_class_accuracy: 0.2612 +2024-01-01 14:34:17,676 - pyskl - INFO - Epoch [79][100/3746] lr: 4.683e-02, eta: 2 days, 1:37:33, time: 1.928, data_time: 1.333, memory: 16180, top1_acc: 0.3225, top5_acc: 0.5892, loss_cls: 5.4477, loss: 5.4477 +2024-01-01 14:35:17,077 - pyskl - INFO - Epoch [79][200/3746] lr: 4.680e-02, eta: 2 days, 1:28:38, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3186, top5_acc: 0.5766, loss_cls: 5.4796, loss: 5.4796 +2024-01-01 14:36:17,047 - pyskl - INFO - Epoch [79][300/3746] lr: 4.678e-02, eta: 2 days, 1:20:44, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3161, top5_acc: 0.5750, loss_cls: 5.4991, loss: 5.4991 +2024-01-01 14:37:17,514 - pyskl - INFO - Epoch [79][400/3746] lr: 4.675e-02, eta: 2 days, 1:13:43, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3292, top5_acc: 0.5805, loss_cls: 5.4826, loss: 5.4826 +2024-01-01 14:38:17,981 - pyskl - INFO - Epoch [79][500/3746] lr: 4.672e-02, eta: 2 days, 1:06:59, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3223, top5_acc: 0.5836, loss_cls: 5.5047, loss: 5.5047 +2024-01-01 14:39:18,561 - pyskl - INFO - Epoch [79][600/3746] lr: 4.669e-02, eta: 2 days, 1:00:37, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3170, top5_acc: 0.5744, loss_cls: 5.5216, loss: 5.5216 +2024-01-01 14:40:18,946 - pyskl - INFO - Epoch [79][700/3746] lr: 4.667e-02, eta: 2 days, 0:54:18, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3189, top5_acc: 0.5859, loss_cls: 5.4733, loss: 5.4733 +2024-01-01 14:41:18,975 - pyskl - INFO - Epoch [79][800/3746] lr: 4.664e-02, eta: 2 days, 0:47:52, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3202, top5_acc: 0.5805, loss_cls: 5.4622, loss: 5.4622 +2024-01-01 14:42:18,711 - pyskl - INFO - Epoch [79][900/3746] lr: 4.661e-02, eta: 2 days, 0:41:23, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3205, top5_acc: 0.5850, loss_cls: 5.4492, loss: 5.4492 +2024-01-01 14:43:18,579 - pyskl - INFO - Epoch [79][1000/3746] lr: 4.658e-02, eta: 2 days, 0:35:16, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3125, top5_acc: 0.5770, loss_cls: 5.4967, loss: 5.4967 +2024-01-01 14:44:18,362 - pyskl - INFO - Epoch [79][1100/3746] lr: 4.655e-02, eta: 2 days, 0:29:16, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.2997, top5_acc: 0.5661, loss_cls: 5.5656, loss: 5.5656 +2024-01-01 14:45:18,266 - pyskl - INFO - Epoch [79][1200/3746] lr: 4.653e-02, eta: 2 days, 0:23:35, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3077, top5_acc: 0.5792, loss_cls: 5.5065, loss: 5.5065 +2024-01-01 14:46:18,058 - pyskl - INFO - Epoch [79][1300/3746] lr: 4.650e-02, eta: 2 days, 0:17:59, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3248, top5_acc: 0.5775, loss_cls: 5.4660, loss: 5.4660 +2024-01-01 14:47:17,958 - pyskl - INFO - Epoch [79][1400/3746] lr: 4.647e-02, eta: 2 days, 0:12:40, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3261, top5_acc: 0.5847, loss_cls: 5.4604, loss: 5.4604 +2024-01-01 14:48:17,937 - pyskl - INFO - Epoch [79][1500/3746] lr: 4.644e-02, eta: 2 days, 0:07:35, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3119, top5_acc: 0.5692, loss_cls: 5.5304, loss: 5.5304 +2024-01-01 14:49:17,666 - pyskl - INFO - Epoch [79][1600/3746] lr: 4.641e-02, eta: 2 days, 0:02:26, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3178, top5_acc: 0.5734, loss_cls: 5.5307, loss: 5.5307 +2024-01-01 14:50:17,545 - pyskl - INFO - Epoch [79][1700/3746] lr: 4.639e-02, eta: 1 day, 23:57:34, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3073, top5_acc: 0.5683, loss_cls: 5.5327, loss: 5.5327 +2024-01-01 14:51:17,044 - pyskl - INFO - Epoch [79][1800/3746] lr: 4.636e-02, eta: 1 day, 23:52:32, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3142, top5_acc: 0.5692, loss_cls: 5.5203, loss: 5.5203 +2024-01-01 14:52:16,986 - pyskl - INFO - Epoch [79][1900/3746] lr: 4.633e-02, eta: 1 day, 23:47:59, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3059, top5_acc: 0.5663, loss_cls: 5.5524, loss: 5.5524 +2024-01-01 14:53:16,413 - pyskl - INFO - Epoch [79][2000/3746] lr: 4.630e-02, eta: 1 day, 23:43:10, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3191, top5_acc: 0.5797, loss_cls: 5.4685, loss: 5.4685 +2024-01-01 14:54:16,086 - pyskl - INFO - Epoch [79][2100/3746] lr: 4.628e-02, eta: 1 day, 23:38:40, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3253, top5_acc: 0.5786, loss_cls: 5.4709, loss: 5.4709 +2024-01-01 14:55:15,755 - pyskl - INFO - Epoch [79][2200/3746] lr: 4.625e-02, eta: 1 day, 23:34:17, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3222, top5_acc: 0.5889, loss_cls: 5.4571, loss: 5.4571 +2024-01-01 14:56:15,494 - pyskl - INFO - Epoch [79][2300/3746] lr: 4.622e-02, eta: 1 day, 23:30:03, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3103, top5_acc: 0.5706, loss_cls: 5.4967, loss: 5.4967 +2024-01-01 14:57:15,263 - pyskl - INFO - Epoch [79][2400/3746] lr: 4.619e-02, eta: 1 day, 23:25:57, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3209, top5_acc: 0.5811, loss_cls: 5.4680, loss: 5.4680 +2024-01-01 14:58:15,029 - pyskl - INFO - Epoch [79][2500/3746] lr: 4.616e-02, eta: 1 day, 23:21:57, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3142, top5_acc: 0.5734, loss_cls: 5.5313, loss: 5.5313 +2024-01-01 14:59:15,077 - pyskl - INFO - Epoch [79][2600/3746] lr: 4.614e-02, eta: 1 day, 23:18:15, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3137, top5_acc: 0.5672, loss_cls: 5.5194, loss: 5.5194 +2024-01-01 15:00:14,801 - pyskl - INFO - Epoch [79][2700/3746] lr: 4.611e-02, eta: 1 day, 23:14:24, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3167, top5_acc: 0.5687, loss_cls: 5.5007, loss: 5.5007 +2024-01-01 15:01:14,398 - pyskl - INFO - Epoch [79][2800/3746] lr: 4.608e-02, eta: 1 day, 23:10:34, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3141, top5_acc: 0.5747, loss_cls: 5.5021, loss: 5.5021 +2024-01-01 15:02:14,096 - pyskl - INFO - Epoch [79][2900/3746] lr: 4.605e-02, eta: 1 day, 23:06:52, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3208, top5_acc: 0.5791, loss_cls: 5.4558, loss: 5.4558 +2024-01-01 15:03:13,854 - pyskl - INFO - Epoch [79][3000/3746] lr: 4.602e-02, eta: 1 day, 23:03:18, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3206, top5_acc: 0.5878, loss_cls: 5.4536, loss: 5.4536 +2024-01-01 15:04:13,568 - pyskl - INFO - Epoch [79][3100/3746] lr: 4.600e-02, eta: 1 day, 22:59:46, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3045, top5_acc: 0.5702, loss_cls: 5.5120, loss: 5.5120 +2024-01-01 15:05:13,136 - pyskl - INFO - Epoch [79][3200/3746] lr: 4.597e-02, eta: 1 day, 22:56:14, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3177, top5_acc: 0.5887, loss_cls: 5.4456, loss: 5.4456 +2024-01-01 15:06:12,692 - pyskl - INFO - Epoch [79][3300/3746] lr: 4.594e-02, eta: 1 day, 22:52:45, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3064, top5_acc: 0.5697, loss_cls: 5.5110, loss: 5.5110 +2024-01-01 15:07:12,335 - pyskl - INFO - Epoch [79][3400/3746] lr: 4.591e-02, eta: 1 day, 22:49:23, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3206, top5_acc: 0.5806, loss_cls: 5.4583, loss: 5.4583 +2024-01-01 15:08:12,233 - pyskl - INFO - Epoch [79][3500/3746] lr: 4.588e-02, eta: 1 day, 22:46:15, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3205, top5_acc: 0.5775, loss_cls: 5.4410, loss: 5.4410 +2024-01-01 15:09:12,168 - pyskl - INFO - Epoch [79][3600/3746] lr: 4.586e-02, eta: 1 day, 22:43:12, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3161, top5_acc: 0.5739, loss_cls: 5.4774, loss: 5.4774 +2024-01-01 15:10:12,360 - pyskl - INFO - Epoch [79][3700/3746] lr: 4.583e-02, eta: 1 day, 22:40:21, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3237, top5_acc: 0.5800, loss_cls: 5.4824, loss: 5.4824 +2024-01-01 15:10:42,881 - pyskl - INFO - Saving checkpoint at 79 epochs +2024-01-01 15:12:40,818 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 15:12:41,643 - pyskl - INFO - +top1_acc 0.2644 +top5_acc 0.5100 +2024-01-01 15:12:41,643 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 15:12:41,683 - pyskl - INFO - +mean_acc 0.2643 +2024-01-01 15:12:41,689 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_78.pth was removed +2024-01-01 15:12:41,983 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2024-01-01 15:12:41,984 - pyskl - INFO - Best top1_acc is 0.2644 at 79 epoch. +2024-01-01 15:12:41,999 - pyskl - INFO - Epoch(val) [79][309] top1_acc: 0.2644, top5_acc: 0.5100, mean_class_accuracy: 0.2643 +2024-01-01 15:16:04,654 - pyskl - INFO - Epoch [80][100/3746] lr: 4.579e-02, eta: 1 day, 23:43:15, time: 2.026, data_time: 1.423, memory: 16180, top1_acc: 0.3209, top5_acc: 0.5913, loss_cls: 5.4244, loss: 5.4244 +2024-01-01 15:17:04,609 - pyskl - INFO - Epoch [80][200/3746] lr: 4.576e-02, eta: 1 day, 23:39:30, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3216, top5_acc: 0.5883, loss_cls: 5.4226, loss: 5.4226 +2024-01-01 15:18:05,140 - pyskl - INFO - Epoch [80][300/3746] lr: 4.573e-02, eta: 1 day, 23:36:08, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3173, top5_acc: 0.5761, loss_cls: 5.4618, loss: 5.4618 +2024-01-01 15:19:05,059 - pyskl - INFO - Epoch [80][400/3746] lr: 4.570e-02, eta: 1 day, 23:32:29, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3094, top5_acc: 0.5759, loss_cls: 5.4947, loss: 5.4947 +2024-01-01 15:20:05,830 - pyskl - INFO - Epoch [80][500/3746] lr: 4.568e-02, eta: 1 day, 23:29:22, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3162, top5_acc: 0.5822, loss_cls: 5.4491, loss: 5.4491 +2024-01-01 15:21:06,502 - pyskl - INFO - Epoch [80][600/3746] lr: 4.565e-02, eta: 1 day, 23:26:15, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3183, top5_acc: 0.5878, loss_cls: 5.4278, loss: 5.4278 +2024-01-01 15:22:06,781 - pyskl - INFO - Epoch [80][700/3746] lr: 4.562e-02, eta: 1 day, 23:22:59, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3167, top5_acc: 0.5791, loss_cls: 5.4698, loss: 5.4698 +2024-01-01 15:23:06,675 - pyskl - INFO - Epoch [80][800/3746] lr: 4.559e-02, eta: 1 day, 23:19:34, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3237, top5_acc: 0.5941, loss_cls: 5.4068, loss: 5.4068 +2024-01-01 15:24:06,377 - pyskl - INFO - Epoch [80][900/3746] lr: 4.557e-02, eta: 1 day, 23:16:06, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3169, top5_acc: 0.5841, loss_cls: 5.4487, loss: 5.4487 +2024-01-01 15:25:06,062 - pyskl - INFO - Epoch [80][1000/3746] lr: 4.554e-02, eta: 1 day, 23:12:41, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3155, top5_acc: 0.5828, loss_cls: 5.4705, loss: 5.4705 +2024-01-01 15:26:05,785 - pyskl - INFO - Epoch [80][1100/3746] lr: 4.551e-02, eta: 1 day, 23:09:20, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3200, top5_acc: 0.5825, loss_cls: 5.4368, loss: 5.4368 +2024-01-01 15:27:06,080 - pyskl - INFO - Epoch [80][1200/3746] lr: 4.548e-02, eta: 1 day, 23:06:20, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3130, top5_acc: 0.5816, loss_cls: 5.4415, loss: 5.4415 +2024-01-01 15:28:05,506 - pyskl - INFO - Epoch [80][1300/3746] lr: 4.545e-02, eta: 1 day, 23:02:57, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3125, top5_acc: 0.5736, loss_cls: 5.5019, loss: 5.5019 +2024-01-01 15:29:05,174 - pyskl - INFO - Epoch [80][1400/3746] lr: 4.543e-02, eta: 1 day, 22:59:44, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3184, top5_acc: 0.5819, loss_cls: 5.4592, loss: 5.4592 +2024-01-01 15:30:04,593 - pyskl - INFO - Epoch [80][1500/3746] lr: 4.540e-02, eta: 1 day, 22:56:27, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3064, top5_acc: 0.5756, loss_cls: 5.4603, loss: 5.4603 +2024-01-01 15:31:04,544 - pyskl - INFO - Epoch [80][1600/3746] lr: 4.537e-02, eta: 1 day, 22:53:28, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3220, top5_acc: 0.5834, loss_cls: 5.4443, loss: 5.4443 +2024-01-01 15:32:04,432 - pyskl - INFO - Epoch [80][1700/3746] lr: 4.534e-02, eta: 1 day, 22:50:30, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3155, top5_acc: 0.5794, loss_cls: 5.4477, loss: 5.4477 +2024-01-01 15:33:04,044 - pyskl - INFO - Epoch [80][1800/3746] lr: 4.532e-02, eta: 1 day, 22:47:27, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3292, top5_acc: 0.5792, loss_cls: 5.4443, loss: 5.4443 +2024-01-01 15:34:03,419 - pyskl - INFO - Epoch [80][1900/3746] lr: 4.529e-02, eta: 1 day, 22:44:20, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3120, top5_acc: 0.5784, loss_cls: 5.4901, loss: 5.4901 +2024-01-01 15:35:02,799 - pyskl - INFO - Epoch [80][2000/3746] lr: 4.526e-02, eta: 1 day, 22:41:16, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3191, top5_acc: 0.5731, loss_cls: 5.4808, loss: 5.4808 +2024-01-01 15:36:02,109 - pyskl - INFO - Epoch [80][2100/3746] lr: 4.523e-02, eta: 1 day, 22:38:12, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3183, top5_acc: 0.5769, loss_cls: 5.4471, loss: 5.4471 +2024-01-01 15:37:01,521 - pyskl - INFO - Epoch [80][2200/3746] lr: 4.520e-02, eta: 1 day, 22:35:13, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3178, top5_acc: 0.5825, loss_cls: 5.4287, loss: 5.4287 +2024-01-01 15:38:01,152 - pyskl - INFO - Epoch [80][2300/3746] lr: 4.518e-02, eta: 1 day, 22:32:23, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3131, top5_acc: 0.5842, loss_cls: 5.4519, loss: 5.4519 +2024-01-01 15:39:00,798 - pyskl - INFO - Epoch [80][2400/3746] lr: 4.515e-02, eta: 1 day, 22:29:36, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3266, top5_acc: 0.5767, loss_cls: 5.4639, loss: 5.4639 +2024-01-01 15:40:00,737 - pyskl - INFO - Epoch [80][2500/3746] lr: 4.512e-02, eta: 1 day, 22:26:58, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3044, top5_acc: 0.5669, loss_cls: 5.5195, loss: 5.5195 +2024-01-01 15:41:00,729 - pyskl - INFO - Epoch [80][2600/3746] lr: 4.509e-02, eta: 1 day, 22:24:24, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3192, top5_acc: 0.5809, loss_cls: 5.4307, loss: 5.4307 +2024-01-01 15:42:00,271 - pyskl - INFO - Epoch [80][2700/3746] lr: 4.506e-02, eta: 1 day, 22:21:40, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3219, top5_acc: 0.5787, loss_cls: 5.4534, loss: 5.4534 +2024-01-01 15:42:59,908 - pyskl - INFO - Epoch [80][2800/3746] lr: 4.504e-02, eta: 1 day, 22:19:01, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3178, top5_acc: 0.5708, loss_cls: 5.4803, loss: 5.4803 +2024-01-01 15:43:59,687 - pyskl - INFO - Epoch [80][2900/3746] lr: 4.501e-02, eta: 1 day, 22:16:27, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3192, top5_acc: 0.5834, loss_cls: 5.4546, loss: 5.4546 +2024-01-01 15:44:59,237 - pyskl - INFO - Epoch [80][3000/3746] lr: 4.498e-02, eta: 1 day, 22:13:49, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3287, top5_acc: 0.5922, loss_cls: 5.4149, loss: 5.4149 +2024-01-01 15:45:58,891 - pyskl - INFO - Epoch [80][3100/3746] lr: 4.495e-02, eta: 1 day, 22:11:15, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3222, top5_acc: 0.5739, loss_cls: 5.4568, loss: 5.4568 +2024-01-01 15:46:58,495 - pyskl - INFO - Epoch [80][3200/3746] lr: 4.493e-02, eta: 1 day, 22:08:42, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3136, top5_acc: 0.5809, loss_cls: 5.4520, loss: 5.4520 +2024-01-01 15:47:58,209 - pyskl - INFO - Epoch [80][3300/3746] lr: 4.490e-02, eta: 1 day, 22:06:14, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3180, top5_acc: 0.5830, loss_cls: 5.4532, loss: 5.4532 +2024-01-01 15:48:57,995 - pyskl - INFO - Epoch [80][3400/3746] lr: 4.487e-02, eta: 1 day, 22:03:48, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3169, top5_acc: 0.5794, loss_cls: 5.4783, loss: 5.4783 +2024-01-01 15:49:58,027 - pyskl - INFO - Epoch [80][3500/3746] lr: 4.484e-02, eta: 1 day, 22:01:30, time: 0.600, data_time: 0.001, memory: 16180, top1_acc: 0.3259, top5_acc: 0.5742, loss_cls: 5.4525, loss: 5.4525 +2024-01-01 15:50:58,471 - pyskl - INFO - Epoch [80][3600/3746] lr: 4.481e-02, eta: 1 day, 21:59:24, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3180, top5_acc: 0.5736, loss_cls: 5.4994, loss: 5.4994 +2024-01-01 15:51:58,514 - pyskl - INFO - Epoch [80][3700/3746] lr: 4.479e-02, eta: 1 day, 21:57:09, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3189, top5_acc: 0.5841, loss_cls: 5.4390, loss: 5.4390 +2024-01-01 15:52:29,054 - pyskl - INFO - Saving checkpoint at 80 epochs +2024-01-01 15:54:22,399 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 15:54:23,249 - pyskl - INFO - +top1_acc 0.2523 +top5_acc 0.5009 +2024-01-01 15:54:23,249 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 15:54:23,280 - pyskl - INFO - +mean_acc 0.2522 +2024-01-01 15:54:23,288 - pyskl - INFO - Epoch(val) [80][309] top1_acc: 0.2523, top5_acc: 0.5009, mean_class_accuracy: 0.2522 +2024-01-01 15:57:39,991 - pyskl - INFO - Epoch [81][100/3746] lr: 4.475e-02, eta: 1 day, 22:35:55, time: 1.967, data_time: 1.370, memory: 16180, top1_acc: 0.3303, top5_acc: 0.5991, loss_cls: 5.3633, loss: 5.3633 +2024-01-01 15:58:39,994 - pyskl - INFO - Epoch [81][200/3746] lr: 4.472e-02, eta: 1 day, 22:33:20, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3264, top5_acc: 0.5923, loss_cls: 5.4167, loss: 5.4167 +2024-01-01 15:59:40,076 - pyskl - INFO - Epoch [81][300/3746] lr: 4.469e-02, eta: 1 day, 22:30:47, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3305, top5_acc: 0.5863, loss_cls: 5.4027, loss: 5.4027 +2024-01-01 16:00:40,718 - pyskl - INFO - Epoch [81][400/3746] lr: 4.466e-02, eta: 1 day, 22:28:29, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3100, top5_acc: 0.5823, loss_cls: 5.4440, loss: 5.4440 +2024-01-01 16:01:41,238 - pyskl - INFO - Epoch [81][500/3746] lr: 4.463e-02, eta: 1 day, 22:26:10, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3289, top5_acc: 0.5988, loss_cls: 5.3895, loss: 5.3895 +2024-01-01 16:02:41,905 - pyskl - INFO - Epoch [81][600/3746] lr: 4.461e-02, eta: 1 day, 22:23:55, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3225, top5_acc: 0.5805, loss_cls: 5.4464, loss: 5.4464 +2024-01-01 16:03:42,422 - pyskl - INFO - Epoch [81][700/3746] lr: 4.458e-02, eta: 1 day, 22:21:38, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3156, top5_acc: 0.5806, loss_cls: 5.4442, loss: 5.4442 +2024-01-01 16:04:43,034 - pyskl - INFO - Epoch [81][800/3746] lr: 4.455e-02, eta: 1 day, 22:19:25, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3100, top5_acc: 0.5741, loss_cls: 5.4716, loss: 5.4716 +2024-01-01 16:05:43,779 - pyskl - INFO - Epoch [81][900/3746] lr: 4.452e-02, eta: 1 day, 22:17:16, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3252, top5_acc: 0.5833, loss_cls: 5.4238, loss: 5.4238 +2024-01-01 16:06:44,066 - pyskl - INFO - Epoch [81][1000/3746] lr: 4.450e-02, eta: 1 day, 22:14:57, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3247, top5_acc: 0.5956, loss_cls: 5.3820, loss: 5.3820 +2024-01-01 16:07:44,259 - pyskl - INFO - Epoch [81][1100/3746] lr: 4.447e-02, eta: 1 day, 22:12:39, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3148, top5_acc: 0.5723, loss_cls: 5.4746, loss: 5.4746 +2024-01-01 16:08:44,913 - pyskl - INFO - Epoch [81][1200/3746] lr: 4.444e-02, eta: 1 day, 22:10:31, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3155, top5_acc: 0.5817, loss_cls: 5.4694, loss: 5.4694 +2024-01-01 16:09:44,819 - pyskl - INFO - Epoch [81][1300/3746] lr: 4.441e-02, eta: 1 day, 22:08:08, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3205, top5_acc: 0.5798, loss_cls: 5.4634, loss: 5.4634 +2024-01-01 16:10:44,913 - pyskl - INFO - Epoch [81][1400/3746] lr: 4.438e-02, eta: 1 day, 22:05:51, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3216, top5_acc: 0.5830, loss_cls: 5.4348, loss: 5.4348 +2024-01-01 16:11:45,023 - pyskl - INFO - Epoch [81][1500/3746] lr: 4.436e-02, eta: 1 day, 22:03:36, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3255, top5_acc: 0.5836, loss_cls: 5.4346, loss: 5.4346 +2024-01-01 16:12:44,677 - pyskl - INFO - Epoch [81][1600/3746] lr: 4.433e-02, eta: 1 day, 22:01:12, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3159, top5_acc: 0.5847, loss_cls: 5.4225, loss: 5.4225 +2024-01-01 16:13:44,691 - pyskl - INFO - Epoch [81][1700/3746] lr: 4.430e-02, eta: 1 day, 21:58:57, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3170, top5_acc: 0.5803, loss_cls: 5.4314, loss: 5.4314 +2024-01-01 16:14:44,310 - pyskl - INFO - Epoch [81][1800/3746] lr: 4.427e-02, eta: 1 day, 21:56:35, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3075, top5_acc: 0.5686, loss_cls: 5.4830, loss: 5.4830 +2024-01-01 16:15:44,283 - pyskl - INFO - Epoch [81][1900/3746] lr: 4.425e-02, eta: 1 day, 21:54:21, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3233, top5_acc: 0.5722, loss_cls: 5.4562, loss: 5.4562 +2024-01-01 16:16:44,952 - pyskl - INFO - Epoch [81][2000/3746] lr: 4.422e-02, eta: 1 day, 21:52:22, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3208, top5_acc: 0.5813, loss_cls: 5.4250, loss: 5.4250 +2024-01-01 16:17:45,218 - pyskl - INFO - Epoch [81][2100/3746] lr: 4.419e-02, eta: 1 day, 21:50:17, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3311, top5_acc: 0.5867, loss_cls: 5.4080, loss: 5.4080 +2024-01-01 16:18:44,568 - pyskl - INFO - Epoch [81][2200/3746] lr: 4.416e-02, eta: 1 day, 21:47:54, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3173, top5_acc: 0.5786, loss_cls: 5.4491, loss: 5.4491 +2024-01-01 16:19:44,560 - pyskl - INFO - Epoch [81][2300/3746] lr: 4.413e-02, eta: 1 day, 21:45:45, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3134, top5_acc: 0.5831, loss_cls: 5.4483, loss: 5.4483 +2024-01-01 16:20:44,144 - pyskl - INFO - Epoch [81][2400/3746] lr: 4.411e-02, eta: 1 day, 21:43:29, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3166, top5_acc: 0.5787, loss_cls: 5.4487, loss: 5.4487 +2024-01-01 16:21:44,010 - pyskl - INFO - Epoch [81][2500/3746] lr: 4.408e-02, eta: 1 day, 21:41:20, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3180, top5_acc: 0.5864, loss_cls: 5.4427, loss: 5.4427 +2024-01-01 16:22:43,827 - pyskl - INFO - Epoch [81][2600/3746] lr: 4.405e-02, eta: 1 day, 21:39:11, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3172, top5_acc: 0.5809, loss_cls: 5.4563, loss: 5.4563 +2024-01-01 16:23:44,341 - pyskl - INFO - Epoch [81][2700/3746] lr: 4.402e-02, eta: 1 day, 21:37:15, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3331, top5_acc: 0.5875, loss_cls: 5.4221, loss: 5.4221 +2024-01-01 16:24:44,987 - pyskl - INFO - Epoch [81][2800/3746] lr: 4.400e-02, eta: 1 day, 21:35:23, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3169, top5_acc: 0.5756, loss_cls: 5.4592, loss: 5.4592 +2024-01-01 16:25:45,445 - pyskl - INFO - Epoch [81][2900/3746] lr: 4.397e-02, eta: 1 day, 21:33:28, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3172, top5_acc: 0.5770, loss_cls: 5.4589, loss: 5.4589 +2024-01-01 16:26:45,143 - pyskl - INFO - Epoch [81][3000/3746] lr: 4.394e-02, eta: 1 day, 21:31:21, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3187, top5_acc: 0.5772, loss_cls: 5.4566, loss: 5.4566 +2024-01-01 16:27:45,907 - pyskl - INFO - Epoch [81][3100/3746] lr: 4.391e-02, eta: 1 day, 21:29:33, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3225, top5_acc: 0.5836, loss_cls: 5.4321, loss: 5.4321 +2024-01-01 16:28:46,480 - pyskl - INFO - Epoch [81][3200/3746] lr: 4.389e-02, eta: 1 day, 21:27:42, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3278, top5_acc: 0.5889, loss_cls: 5.4180, loss: 5.4180 +2024-01-01 16:29:46,596 - pyskl - INFO - Epoch [81][3300/3746] lr: 4.386e-02, eta: 1 day, 21:25:45, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3244, top5_acc: 0.5831, loss_cls: 5.4368, loss: 5.4368 +2024-01-01 16:30:46,722 - pyskl - INFO - Epoch [81][3400/3746] lr: 4.383e-02, eta: 1 day, 21:23:48, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3209, top5_acc: 0.5794, loss_cls: 5.4355, loss: 5.4355 +2024-01-01 16:31:47,313 - pyskl - INFO - Epoch [81][3500/3746] lr: 4.380e-02, eta: 1 day, 21:22:00, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3286, top5_acc: 0.5839, loss_cls: 5.3956, loss: 5.3956 +2024-01-01 16:32:47,931 - pyskl - INFO - Epoch [81][3600/3746] lr: 4.377e-02, eta: 1 day, 21:20:13, time: 0.606, data_time: 0.001, memory: 16180, top1_acc: 0.3092, top5_acc: 0.5722, loss_cls: 5.4729, loss: 5.4729 +2024-01-01 16:33:48,644 - pyskl - INFO - Epoch [81][3700/3746] lr: 4.375e-02, eta: 1 day, 21:18:28, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3133, top5_acc: 0.5756, loss_cls: 5.4583, loss: 5.4583 +2024-01-01 16:34:18,816 - pyskl - INFO - Saving checkpoint at 81 epochs +2024-01-01 16:36:13,544 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 16:36:14,374 - pyskl - INFO - +top1_acc 0.2327 +top5_acc 0.4699 +2024-01-01 16:36:14,375 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 16:36:14,408 - pyskl - INFO - +mean_acc 0.2325 +2024-01-01 16:36:14,418 - pyskl - INFO - Epoch(val) [81][309] top1_acc: 0.2327, top5_acc: 0.4699, mean_class_accuracy: 0.2325 +2024-01-01 16:39:28,140 - pyskl - INFO - Epoch [82][100/3746] lr: 4.371e-02, eta: 1 day, 21:45:56, time: 1.937, data_time: 1.344, memory: 16180, top1_acc: 0.3378, top5_acc: 0.5973, loss_cls: 5.3640, loss: 5.3640 +2024-01-01 16:40:27,934 - pyskl - INFO - Epoch [82][200/3746] lr: 4.368e-02, eta: 1 day, 21:43:45, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3289, top5_acc: 0.5892, loss_cls: 5.3949, loss: 5.3949 +2024-01-01 16:41:28,163 - pyskl - INFO - Epoch [82][300/3746] lr: 4.365e-02, eta: 1 day, 21:41:42, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3339, top5_acc: 0.5961, loss_cls: 5.3767, loss: 5.3767 +2024-01-01 16:42:28,431 - pyskl - INFO - Epoch [82][400/3746] lr: 4.362e-02, eta: 1 day, 21:39:40, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3169, top5_acc: 0.5887, loss_cls: 5.4335, loss: 5.4335 +2024-01-01 16:43:28,670 - pyskl - INFO - Epoch [82][500/3746] lr: 4.359e-02, eta: 1 day, 21:37:39, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3202, top5_acc: 0.5902, loss_cls: 5.3937, loss: 5.3937 +2024-01-01 16:44:29,103 - pyskl - INFO - Epoch [82][600/3746] lr: 4.357e-02, eta: 1 day, 21:35:42, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3328, top5_acc: 0.5839, loss_cls: 5.3880, loss: 5.3880 +2024-01-01 16:45:30,497 - pyskl - INFO - Epoch [82][700/3746] lr: 4.354e-02, eta: 1 day, 21:34:01, time: 0.614, data_time: 0.000, memory: 16180, top1_acc: 0.3206, top5_acc: 0.5825, loss_cls: 5.4127, loss: 5.4127 +2024-01-01 16:46:31,637 - pyskl - INFO - Epoch [82][800/3746] lr: 4.351e-02, eta: 1 day, 21:32:17, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3275, top5_acc: 0.5820, loss_cls: 5.3964, loss: 5.3964 +2024-01-01 16:47:32,882 - pyskl - INFO - Epoch [82][900/3746] lr: 4.348e-02, eta: 1 day, 21:30:34, time: 0.612, data_time: 0.000, memory: 16180, top1_acc: 0.3230, top5_acc: 0.5805, loss_cls: 5.4310, loss: 5.4310 +2024-01-01 16:48:33,899 - pyskl - INFO - Epoch [82][1000/3746] lr: 4.346e-02, eta: 1 day, 21:28:49, time: 0.610, data_time: 0.000, memory: 16180, top1_acc: 0.3273, top5_acc: 0.5883, loss_cls: 5.3853, loss: 5.3853 +2024-01-01 16:49:34,960 - pyskl - INFO - Epoch [82][1100/3746] lr: 4.343e-02, eta: 1 day, 21:27:05, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3241, top5_acc: 0.5798, loss_cls: 5.4299, loss: 5.4299 +2024-01-01 16:50:36,053 - pyskl - INFO - Epoch [82][1200/3746] lr: 4.340e-02, eta: 1 day, 21:25:22, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3209, top5_acc: 0.5902, loss_cls: 5.4289, loss: 5.4289 +2024-01-01 16:51:36,980 - pyskl - INFO - Epoch [82][1300/3746] lr: 4.337e-02, eta: 1 day, 21:23:37, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3245, top5_acc: 0.5847, loss_cls: 5.4129, loss: 5.4129 +2024-01-01 16:52:38,087 - pyskl - INFO - Epoch [82][1400/3746] lr: 4.335e-02, eta: 1 day, 21:21:55, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3164, top5_acc: 0.5878, loss_cls: 5.3997, loss: 5.3997 +2024-01-01 16:53:38,994 - pyskl - INFO - Epoch [82][1500/3746] lr: 4.332e-02, eta: 1 day, 21:20:10, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3228, top5_acc: 0.5822, loss_cls: 5.4127, loss: 5.4127 +2024-01-01 16:54:40,154 - pyskl - INFO - Epoch [82][1600/3746] lr: 4.329e-02, eta: 1 day, 21:18:30, time: 0.612, data_time: 0.000, memory: 16180, top1_acc: 0.3222, top5_acc: 0.5842, loss_cls: 5.4037, loss: 5.4037 +2024-01-01 16:55:41,248 - pyskl - INFO - Epoch [82][1700/3746] lr: 4.326e-02, eta: 1 day, 21:16:50, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3203, top5_acc: 0.5856, loss_cls: 5.4131, loss: 5.4131 +2024-01-01 16:56:42,198 - pyskl - INFO - Epoch [82][1800/3746] lr: 4.323e-02, eta: 1 day, 21:15:08, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3386, top5_acc: 0.6053, loss_cls: 5.3409, loss: 5.3409 +2024-01-01 16:57:43,315 - pyskl - INFO - Epoch [82][1900/3746] lr: 4.321e-02, eta: 1 day, 21:13:28, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3241, top5_acc: 0.5889, loss_cls: 5.3981, loss: 5.3981 +2024-01-01 16:58:44,452 - pyskl - INFO - Epoch [82][2000/3746] lr: 4.318e-02, eta: 1 day, 21:11:50, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3181, top5_acc: 0.5769, loss_cls: 5.4564, loss: 5.4564 +2024-01-01 16:59:45,248 - pyskl - INFO - Epoch [82][2100/3746] lr: 4.315e-02, eta: 1 day, 21:10:07, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3262, top5_acc: 0.5775, loss_cls: 5.4313, loss: 5.4313 +2024-01-01 17:00:46,461 - pyskl - INFO - Epoch [82][2200/3746] lr: 4.312e-02, eta: 1 day, 21:08:30, time: 0.612, data_time: 0.000, memory: 16180, top1_acc: 0.3184, top5_acc: 0.5819, loss_cls: 5.4324, loss: 5.4324 +2024-01-01 17:01:47,394 - pyskl - INFO - Epoch [82][2300/3746] lr: 4.310e-02, eta: 1 day, 21:06:50, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3223, top5_acc: 0.5802, loss_cls: 5.4140, loss: 5.4140 +2024-01-01 17:02:48,302 - pyskl - INFO - Epoch [82][2400/3746] lr: 4.307e-02, eta: 1 day, 21:05:10, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3186, top5_acc: 0.5830, loss_cls: 5.4445, loss: 5.4445 +2024-01-01 17:03:49,511 - pyskl - INFO - Epoch [82][2500/3746] lr: 4.304e-02, eta: 1 day, 21:03:35, time: 0.612, data_time: 0.000, memory: 16180, top1_acc: 0.3253, top5_acc: 0.5763, loss_cls: 5.4254, loss: 5.4254 +2024-01-01 17:04:50,440 - pyskl - INFO - Epoch [82][2600/3746] lr: 4.301e-02, eta: 1 day, 21:01:56, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3231, top5_acc: 0.5863, loss_cls: 5.4370, loss: 5.4370 +2024-01-01 17:05:51,530 - pyskl - INFO - Epoch [82][2700/3746] lr: 4.299e-02, eta: 1 day, 21:00:20, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3200, top5_acc: 0.5864, loss_cls: 5.4031, loss: 5.4031 +2024-01-01 17:06:52,759 - pyskl - INFO - Epoch [82][2800/3746] lr: 4.296e-02, eta: 1 day, 20:58:46, time: 0.612, data_time: 0.000, memory: 16180, top1_acc: 0.3166, top5_acc: 0.5767, loss_cls: 5.4449, loss: 5.4449 +2024-01-01 17:07:53,707 - pyskl - INFO - Epoch [82][2900/3746] lr: 4.293e-02, eta: 1 day, 20:57:08, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3177, top5_acc: 0.5750, loss_cls: 5.4631, loss: 5.4631 +2024-01-01 17:08:54,816 - pyskl - INFO - Epoch [82][3000/3746] lr: 4.290e-02, eta: 1 day, 20:55:34, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3283, top5_acc: 0.5864, loss_cls: 5.4175, loss: 5.4175 +2024-01-01 17:09:56,015 - pyskl - INFO - Epoch [82][3100/3746] lr: 4.287e-02, eta: 1 day, 20:54:01, time: 0.612, data_time: 0.000, memory: 16180, top1_acc: 0.3189, top5_acc: 0.5836, loss_cls: 5.4287, loss: 5.4287 +2024-01-01 17:10:57,206 - pyskl - INFO - Epoch [82][3200/3746] lr: 4.285e-02, eta: 1 day, 20:52:28, time: 0.612, data_time: 0.000, memory: 16180, top1_acc: 0.3175, top5_acc: 0.5931, loss_cls: 5.3901, loss: 5.3901 +2024-01-01 17:11:58,338 - pyskl - INFO - Epoch [82][3300/3746] lr: 4.282e-02, eta: 1 day, 20:50:54, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3245, top5_acc: 0.5880, loss_cls: 5.4120, loss: 5.4120 +2024-01-01 17:12:59,426 - pyskl - INFO - Epoch [82][3400/3746] lr: 4.279e-02, eta: 1 day, 20:49:21, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3305, top5_acc: 0.5958, loss_cls: 5.4070, loss: 5.4070 +2024-01-01 17:14:00,245 - pyskl - INFO - Epoch [82][3500/3746] lr: 4.276e-02, eta: 1 day, 20:47:44, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3220, top5_acc: 0.5733, loss_cls: 5.4648, loss: 5.4648 +2024-01-01 17:15:01,619 - pyskl - INFO - Epoch [82][3600/3746] lr: 4.274e-02, eta: 1 day, 20:46:15, time: 0.614, data_time: 0.000, memory: 16180, top1_acc: 0.3252, top5_acc: 0.5855, loss_cls: 5.4151, loss: 5.4151 +2024-01-01 17:16:02,531 - pyskl - INFO - Epoch [82][3700/3746] lr: 4.271e-02, eta: 1 day, 20:44:40, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3269, top5_acc: 0.5783, loss_cls: 5.4138, loss: 5.4138 +2024-01-01 17:16:32,874 - pyskl - INFO - Saving checkpoint at 82 epochs +2024-01-01 17:18:30,124 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 17:18:30,955 - pyskl - INFO - +top1_acc 0.2648 +top5_acc 0.5239 +2024-01-01 17:18:30,955 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 17:18:30,991 - pyskl - INFO - +mean_acc 0.2646 +2024-01-01 17:18:30,998 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_79.pth was removed +2024-01-01 17:18:31,359 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_82.pth. +2024-01-01 17:18:31,359 - pyskl - INFO - Best top1_acc is 0.2648 at 82 epoch. +2024-01-01 17:18:31,368 - pyskl - INFO - Epoch(val) [82][309] top1_acc: 0.2648, top5_acc: 0.5239, mean_class_accuracy: 0.2646 +2024-01-01 17:21:41,552 - pyskl - INFO - Epoch [83][100/3746] lr: 4.267e-02, eta: 1 day, 21:05:11, time: 1.902, data_time: 1.308, memory: 16180, top1_acc: 0.3364, top5_acc: 0.6081, loss_cls: 5.2983, loss: 5.2983 +2024-01-01 17:22:41,406 - pyskl - INFO - Epoch [83][200/3746] lr: 4.264e-02, eta: 1 day, 21:03:15, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3255, top5_acc: 0.5897, loss_cls: 5.3728, loss: 5.3728 +2024-01-01 17:23:41,205 - pyskl - INFO - Epoch [83][300/3746] lr: 4.261e-02, eta: 1 day, 21:01:19, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3277, top5_acc: 0.5911, loss_cls: 5.3945, loss: 5.3945 +2024-01-01 17:24:41,418 - pyskl - INFO - Epoch [83][400/3746] lr: 4.259e-02, eta: 1 day, 20:59:29, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3211, top5_acc: 0.5884, loss_cls: 5.3948, loss: 5.3948 +2024-01-01 17:25:42,839 - pyskl - INFO - Epoch [83][500/3746] lr: 4.256e-02, eta: 1 day, 20:57:55, time: 0.614, data_time: 0.000, memory: 16180, top1_acc: 0.3300, top5_acc: 0.5847, loss_cls: 5.4062, loss: 5.4062 +2024-01-01 17:26:44,002 - pyskl - INFO - Epoch [83][600/3746] lr: 4.253e-02, eta: 1 day, 20:56:18, time: 0.612, data_time: 0.000, memory: 16180, top1_acc: 0.3275, top5_acc: 0.5750, loss_cls: 5.4072, loss: 5.4072 +2024-01-01 17:27:45,077 - pyskl - INFO - Epoch [83][700/3746] lr: 4.250e-02, eta: 1 day, 20:54:41, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3344, top5_acc: 0.5900, loss_cls: 5.3726, loss: 5.3726 +2024-01-01 17:28:46,094 - pyskl - INFO - Epoch [83][800/3746] lr: 4.247e-02, eta: 1 day, 20:53:03, time: 0.610, data_time: 0.000, memory: 16180, top1_acc: 0.3206, top5_acc: 0.5909, loss_cls: 5.4107, loss: 5.4107 +2024-01-01 17:29:47,018 - pyskl - INFO - Epoch [83][900/3746] lr: 4.245e-02, eta: 1 day, 20:51:24, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3248, top5_acc: 0.5820, loss_cls: 5.4160, loss: 5.4160 +2024-01-01 17:30:47,872 - pyskl - INFO - Epoch [83][1000/3746] lr: 4.242e-02, eta: 1 day, 20:49:45, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3170, top5_acc: 0.5883, loss_cls: 5.3969, loss: 5.3969 +2024-01-01 17:31:48,161 - pyskl - INFO - Epoch [83][1100/3746] lr: 4.239e-02, eta: 1 day, 20:47:59, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3308, top5_acc: 0.5962, loss_cls: 5.3682, loss: 5.3682 +2024-01-01 17:32:48,556 - pyskl - INFO - Epoch [83][1200/3746] lr: 4.236e-02, eta: 1 day, 20:46:15, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3284, top5_acc: 0.5962, loss_cls: 5.3687, loss: 5.3687 +2024-01-01 17:33:48,755 - pyskl - INFO - Epoch [83][1300/3746] lr: 4.234e-02, eta: 1 day, 20:44:28, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3211, top5_acc: 0.5880, loss_cls: 5.3835, loss: 5.3835 +2024-01-01 17:34:49,204 - pyskl - INFO - Epoch [83][1400/3746] lr: 4.231e-02, eta: 1 day, 20:42:46, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3177, top5_acc: 0.5847, loss_cls: 5.3947, loss: 5.3947 +2024-01-01 17:35:49,417 - pyskl - INFO - Epoch [83][1500/3746] lr: 4.228e-02, eta: 1 day, 20:41:01, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3220, top5_acc: 0.5858, loss_cls: 5.4301, loss: 5.4301 +2024-01-01 17:36:49,410 - pyskl - INFO - Epoch [83][1600/3746] lr: 4.225e-02, eta: 1 day, 20:39:13, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3245, top5_acc: 0.5847, loss_cls: 5.4073, loss: 5.4073 +2024-01-01 17:37:50,481 - pyskl - INFO - Epoch [83][1700/3746] lr: 4.223e-02, eta: 1 day, 20:37:39, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3323, top5_acc: 0.5997, loss_cls: 5.3825, loss: 5.3825 +2024-01-01 17:38:51,197 - pyskl - INFO - Epoch [83][1800/3746] lr: 4.220e-02, eta: 1 day, 20:36:02, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3394, top5_acc: 0.5939, loss_cls: 5.3511, loss: 5.3511 +2024-01-01 17:39:52,343 - pyskl - INFO - Epoch [83][1900/3746] lr: 4.217e-02, eta: 1 day, 20:34:29, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3261, top5_acc: 0.5942, loss_cls: 5.3900, loss: 5.3900 +2024-01-01 17:40:53,417 - pyskl - INFO - Epoch [83][2000/3746] lr: 4.214e-02, eta: 1 day, 20:32:57, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3202, top5_acc: 0.5884, loss_cls: 5.3938, loss: 5.3938 +2024-01-01 17:41:54,397 - pyskl - INFO - Epoch [83][2100/3746] lr: 4.212e-02, eta: 1 day, 20:31:23, time: 0.610, data_time: 0.000, memory: 16180, top1_acc: 0.3197, top5_acc: 0.5833, loss_cls: 5.4118, loss: 5.4118 +2024-01-01 17:42:54,718 - pyskl - INFO - Epoch [83][2200/3746] lr: 4.209e-02, eta: 1 day, 20:29:42, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3217, top5_acc: 0.5844, loss_cls: 5.3996, loss: 5.3996 +2024-01-01 17:43:55,044 - pyskl - INFO - Epoch [83][2300/3746] lr: 4.206e-02, eta: 1 day, 20:28:01, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3242, top5_acc: 0.5827, loss_cls: 5.4001, loss: 5.4001 +2024-01-01 17:44:55,509 - pyskl - INFO - Epoch [83][2400/3746] lr: 4.203e-02, eta: 1 day, 20:26:23, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3228, top5_acc: 0.5842, loss_cls: 5.4198, loss: 5.4198 +2024-01-01 17:45:55,593 - pyskl - INFO - Epoch [83][2500/3746] lr: 4.201e-02, eta: 1 day, 20:24:40, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3247, top5_acc: 0.5878, loss_cls: 5.4018, loss: 5.4018 +2024-01-01 17:46:55,951 - pyskl - INFO - Epoch [83][2600/3746] lr: 4.198e-02, eta: 1 day, 20:23:01, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3353, top5_acc: 0.5875, loss_cls: 5.3815, loss: 5.3815 +2024-01-01 17:47:56,052 - pyskl - INFO - Epoch [83][2700/3746] lr: 4.195e-02, eta: 1 day, 20:21:19, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3175, top5_acc: 0.5903, loss_cls: 5.4231, loss: 5.4231 +2024-01-01 17:48:56,390 - pyskl - INFO - Epoch [83][2800/3746] lr: 4.192e-02, eta: 1 day, 20:19:40, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3312, top5_acc: 0.5930, loss_cls: 5.3705, loss: 5.3705 +2024-01-01 17:49:56,296 - pyskl - INFO - Epoch [83][2900/3746] lr: 4.190e-02, eta: 1 day, 20:17:57, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3247, top5_acc: 0.5816, loss_cls: 5.3965, loss: 5.3965 +2024-01-01 17:50:56,156 - pyskl - INFO - Epoch [83][3000/3746] lr: 4.187e-02, eta: 1 day, 20:16:13, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3311, top5_acc: 0.5978, loss_cls: 5.3707, loss: 5.3707 +2024-01-01 17:51:56,120 - pyskl - INFO - Epoch [83][3100/3746] lr: 4.184e-02, eta: 1 day, 20:14:31, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3137, top5_acc: 0.5863, loss_cls: 5.4235, loss: 5.4235 +2024-01-01 17:52:56,833 - pyskl - INFO - Epoch [83][3200/3746] lr: 4.181e-02, eta: 1 day, 20:12:58, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3208, top5_acc: 0.5873, loss_cls: 5.4088, loss: 5.4088 +2024-01-01 17:53:57,977 - pyskl - INFO - Epoch [83][3300/3746] lr: 4.178e-02, eta: 1 day, 20:11:31, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3233, top5_acc: 0.5837, loss_cls: 5.4036, loss: 5.4036 +2024-01-01 17:54:57,628 - pyskl - INFO - Epoch [83][3400/3746] lr: 4.176e-02, eta: 1 day, 20:09:46, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3184, top5_acc: 0.5711, loss_cls: 5.4504, loss: 5.4504 +2024-01-01 17:55:57,814 - pyskl - INFO - Epoch [83][3500/3746] lr: 4.173e-02, eta: 1 day, 20:08:08, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3178, top5_acc: 0.5795, loss_cls: 5.4304, loss: 5.4304 +2024-01-01 17:56:58,620 - pyskl - INFO - Epoch [83][3600/3746] lr: 4.170e-02, eta: 1 day, 20:06:37, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3280, top5_acc: 0.5889, loss_cls: 5.3651, loss: 5.3651 +2024-01-01 17:57:59,359 - pyskl - INFO - Epoch [83][3700/3746] lr: 4.167e-02, eta: 1 day, 20:05:06, time: 0.607, data_time: 0.001, memory: 16180, top1_acc: 0.3202, top5_acc: 0.5795, loss_cls: 5.4324, loss: 5.4324 +2024-01-01 17:58:29,082 - pyskl - INFO - Saving checkpoint at 83 epochs +2024-01-01 18:00:25,049 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 18:00:25,916 - pyskl - INFO - +top1_acc 0.2598 +top5_acc 0.5034 +2024-01-01 18:00:25,916 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 18:00:25,950 - pyskl - INFO - +mean_acc 0.2595 +2024-01-01 18:00:25,958 - pyskl - INFO - Epoch(val) [83][309] top1_acc: 0.2598, top5_acc: 0.5034, mean_class_accuracy: 0.2595 +2024-01-01 18:03:45,498 - pyskl - INFO - Epoch [84][100/3746] lr: 4.163e-02, eta: 1 day, 20:23:26, time: 1.995, data_time: 1.399, memory: 16180, top1_acc: 0.3350, top5_acc: 0.5984, loss_cls: 5.3166, loss: 5.3166 +2024-01-01 18:04:45,438 - pyskl - INFO - Epoch [84][200/3746] lr: 4.161e-02, eta: 1 day, 20:21:40, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3236, top5_acc: 0.5925, loss_cls: 5.3849, loss: 5.3849 +2024-01-01 18:05:45,590 - pyskl - INFO - Epoch [84][300/3746] lr: 4.158e-02, eta: 1 day, 20:19:58, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3211, top5_acc: 0.5920, loss_cls: 5.3860, loss: 5.3860 +2024-01-01 18:06:45,610 - pyskl - INFO - Epoch [84][400/3746] lr: 4.155e-02, eta: 1 day, 20:18:14, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3314, top5_acc: 0.5986, loss_cls: 5.3626, loss: 5.3626 +2024-01-01 18:07:45,382 - pyskl - INFO - Epoch [84][500/3746] lr: 4.152e-02, eta: 1 day, 20:16:28, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3336, top5_acc: 0.6056, loss_cls: 5.3053, loss: 5.3053 +2024-01-01 18:08:44,905 - pyskl - INFO - Epoch [84][600/3746] lr: 4.150e-02, eta: 1 day, 20:14:40, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3266, top5_acc: 0.5892, loss_cls: 5.3844, loss: 5.3844 +2024-01-01 18:09:44,732 - pyskl - INFO - Epoch [84][700/3746] lr: 4.147e-02, eta: 1 day, 20:12:55, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3261, top5_acc: 0.5908, loss_cls: 5.3758, loss: 5.3758 +2024-01-01 18:10:44,524 - pyskl - INFO - Epoch [84][800/3746] lr: 4.144e-02, eta: 1 day, 20:11:11, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3383, top5_acc: 0.5964, loss_cls: 5.3710, loss: 5.3710 +2024-01-01 18:11:44,448 - pyskl - INFO - Epoch [84][900/3746] lr: 4.141e-02, eta: 1 day, 20:09:28, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3187, top5_acc: 0.5881, loss_cls: 5.4015, loss: 5.4015 +2024-01-01 18:12:44,347 - pyskl - INFO - Epoch [84][1000/3746] lr: 4.139e-02, eta: 1 day, 20:07:45, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3236, top5_acc: 0.5828, loss_cls: 5.4121, loss: 5.4121 +2024-01-01 18:13:44,045 - pyskl - INFO - Epoch [84][1100/3746] lr: 4.136e-02, eta: 1 day, 20:06:01, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3311, top5_acc: 0.5928, loss_cls: 5.3728, loss: 5.3728 +2024-01-01 18:14:43,574 - pyskl - INFO - Epoch [84][1200/3746] lr: 4.133e-02, eta: 1 day, 20:04:15, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3294, top5_acc: 0.5834, loss_cls: 5.3878, loss: 5.3878 +2024-01-01 18:15:43,862 - pyskl - INFO - Epoch [84][1300/3746] lr: 4.130e-02, eta: 1 day, 20:02:38, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3262, top5_acc: 0.5945, loss_cls: 5.3664, loss: 5.3664 +2024-01-01 18:16:44,023 - pyskl - INFO - Epoch [84][1400/3746] lr: 4.128e-02, eta: 1 day, 20:00:59, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3187, top5_acc: 0.5867, loss_cls: 5.4008, loss: 5.4008 +2024-01-01 18:17:44,304 - pyskl - INFO - Epoch [84][1500/3746] lr: 4.125e-02, eta: 1 day, 19:59:22, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3194, top5_acc: 0.5836, loss_cls: 5.4024, loss: 5.4024 +2024-01-01 18:18:44,568 - pyskl - INFO - Epoch [84][1600/3746] lr: 4.122e-02, eta: 1 day, 19:57:46, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3298, top5_acc: 0.5836, loss_cls: 5.3843, loss: 5.3843 +2024-01-01 18:19:45,107 - pyskl - INFO - Epoch [84][1700/3746] lr: 4.119e-02, eta: 1 day, 19:56:12, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3248, top5_acc: 0.5855, loss_cls: 5.4013, loss: 5.4013 +2024-01-01 18:20:45,583 - pyskl - INFO - Epoch [84][1800/3746] lr: 4.117e-02, eta: 1 day, 19:54:38, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3317, top5_acc: 0.5925, loss_cls: 5.3736, loss: 5.3736 +2024-01-01 18:21:45,162 - pyskl - INFO - Epoch [84][1900/3746] lr: 4.114e-02, eta: 1 day, 19:52:55, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3391, top5_acc: 0.5883, loss_cls: 5.3605, loss: 5.3605 +2024-01-01 18:22:44,907 - pyskl - INFO - Epoch [84][2000/3746] lr: 4.111e-02, eta: 1 day, 19:51:14, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3244, top5_acc: 0.5809, loss_cls: 5.3783, loss: 5.3783 +2024-01-01 18:23:44,485 - pyskl - INFO - Epoch [84][2100/3746] lr: 4.108e-02, eta: 1 day, 19:49:32, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3275, top5_acc: 0.5853, loss_cls: 5.4129, loss: 5.4129 +2024-01-01 18:24:43,997 - pyskl - INFO - Epoch [84][2200/3746] lr: 4.106e-02, eta: 1 day, 19:47:50, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3366, top5_acc: 0.5986, loss_cls: 5.3394, loss: 5.3394 +2024-01-01 18:25:43,741 - pyskl - INFO - Epoch [84][2300/3746] lr: 4.103e-02, eta: 1 day, 19:46:10, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3322, top5_acc: 0.5989, loss_cls: 5.3574, loss: 5.3574 +2024-01-01 18:26:43,438 - pyskl - INFO - Epoch [84][2400/3746] lr: 4.100e-02, eta: 1 day, 19:44:30, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3419, top5_acc: 0.6064, loss_cls: 5.3255, loss: 5.3255 +2024-01-01 18:27:43,357 - pyskl - INFO - Epoch [84][2500/3746] lr: 4.097e-02, eta: 1 day, 19:42:52, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3231, top5_acc: 0.5844, loss_cls: 5.4196, loss: 5.4196 +2024-01-01 18:28:42,903 - pyskl - INFO - Epoch [84][2600/3746] lr: 4.095e-02, eta: 1 day, 19:41:11, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3239, top5_acc: 0.5833, loss_cls: 5.4184, loss: 5.4184 +2024-01-01 18:29:42,536 - pyskl - INFO - Epoch [84][2700/3746] lr: 4.092e-02, eta: 1 day, 19:39:32, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3298, top5_acc: 0.5978, loss_cls: 5.3535, loss: 5.3535 +2024-01-01 18:30:41,884 - pyskl - INFO - Epoch [84][2800/3746] lr: 4.089e-02, eta: 1 day, 19:37:50, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3262, top5_acc: 0.5800, loss_cls: 5.4140, loss: 5.4140 +2024-01-01 18:31:41,229 - pyskl - INFO - Epoch [84][2900/3746] lr: 4.086e-02, eta: 1 day, 19:36:08, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3255, top5_acc: 0.5877, loss_cls: 5.3961, loss: 5.3961 +2024-01-01 18:32:40,738 - pyskl - INFO - Epoch [84][3000/3746] lr: 4.084e-02, eta: 1 day, 19:34:28, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3295, top5_acc: 0.5892, loss_cls: 5.3607, loss: 5.3607 +2024-01-01 18:33:40,225 - pyskl - INFO - Epoch [84][3100/3746] lr: 4.081e-02, eta: 1 day, 19:32:48, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3275, top5_acc: 0.5856, loss_cls: 5.3964, loss: 5.3964 +2024-01-01 18:34:39,693 - pyskl - INFO - Epoch [84][3200/3746] lr: 4.078e-02, eta: 1 day, 19:31:08, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3316, top5_acc: 0.5913, loss_cls: 5.3695, loss: 5.3695 +2024-01-01 18:35:39,693 - pyskl - INFO - Epoch [84][3300/3746] lr: 4.075e-02, eta: 1 day, 19:29:34, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3234, top5_acc: 0.5834, loss_cls: 5.4154, loss: 5.4154 +2024-01-01 18:36:39,805 - pyskl - INFO - Epoch [84][3400/3746] lr: 4.073e-02, eta: 1 day, 19:28:01, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3295, top5_acc: 0.5873, loss_cls: 5.3913, loss: 5.3913 +2024-01-01 18:37:39,908 - pyskl - INFO - Epoch [84][3500/3746] lr: 4.070e-02, eta: 1 day, 19:26:28, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3183, top5_acc: 0.5770, loss_cls: 5.4132, loss: 5.4132 +2024-01-01 18:38:40,912 - pyskl - INFO - Epoch [84][3600/3746] lr: 4.067e-02, eta: 1 day, 19:25:04, time: 0.610, data_time: 0.000, memory: 16180, top1_acc: 0.3228, top5_acc: 0.5836, loss_cls: 5.4080, loss: 5.4080 +2024-01-01 18:39:40,946 - pyskl - INFO - Epoch [84][3700/3746] lr: 4.064e-02, eta: 1 day, 19:23:31, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3220, top5_acc: 0.5900, loss_cls: 5.3881, loss: 5.3881 +2024-01-01 18:40:10,492 - pyskl - INFO - Saving checkpoint at 84 epochs +2024-01-01 18:42:06,953 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 18:42:07,763 - pyskl - INFO - +top1_acc 0.2639 +top5_acc 0.5133 +2024-01-01 18:42:07,763 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 18:42:07,798 - pyskl - INFO - +mean_acc 0.2636 +2024-01-01 18:42:07,806 - pyskl - INFO - Epoch(val) [84][309] top1_acc: 0.2639, top5_acc: 0.5133, mean_class_accuracy: 0.2636 +2024-01-01 18:45:27,493 - pyskl - INFO - Epoch [85][100/3746] lr: 4.060e-02, eta: 1 day, 19:38:48, time: 1.997, data_time: 1.397, memory: 16180, top1_acc: 0.3397, top5_acc: 0.6066, loss_cls: 5.2929, loss: 5.2929 +2024-01-01 18:46:27,315 - pyskl - INFO - Epoch [85][200/3746] lr: 4.058e-02, eta: 1 day, 19:37:09, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3328, top5_acc: 0.6002, loss_cls: 5.3212, loss: 5.3212 +2024-01-01 18:47:27,369 - pyskl - INFO - Epoch [85][300/3746] lr: 4.055e-02, eta: 1 day, 19:35:33, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3253, top5_acc: 0.5927, loss_cls: 5.3620, loss: 5.3620 +2024-01-01 18:48:28,170 - pyskl - INFO - Epoch [85][400/3746] lr: 4.052e-02, eta: 1 day, 19:34:04, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3337, top5_acc: 0.6003, loss_cls: 5.3459, loss: 5.3459 +2024-01-01 18:49:28,567 - pyskl - INFO - Epoch [85][500/3746] lr: 4.049e-02, eta: 1 day, 19:32:31, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3291, top5_acc: 0.5909, loss_cls: 5.3788, loss: 5.3788 +2024-01-01 18:50:28,551 - pyskl - INFO - Epoch [85][600/3746] lr: 4.047e-02, eta: 1 day, 19:30:55, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3312, top5_acc: 0.5994, loss_cls: 5.3432, loss: 5.3432 +2024-01-01 18:51:28,137 - pyskl - INFO - Epoch [85][700/3746] lr: 4.044e-02, eta: 1 day, 19:29:16, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3267, top5_acc: 0.5934, loss_cls: 5.3475, loss: 5.3475 +2024-01-01 18:52:27,836 - pyskl - INFO - Epoch [85][800/3746] lr: 4.041e-02, eta: 1 day, 19:27:38, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3248, top5_acc: 0.5883, loss_cls: 5.3975, loss: 5.3975 +2024-01-01 18:53:27,433 - pyskl - INFO - Epoch [85][900/3746] lr: 4.038e-02, eta: 1 day, 19:25:59, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3295, top5_acc: 0.6000, loss_cls: 5.3403, loss: 5.3403 +2024-01-01 18:54:27,120 - pyskl - INFO - Epoch [85][1000/3746] lr: 4.036e-02, eta: 1 day, 19:24:21, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3266, top5_acc: 0.5947, loss_cls: 5.3544, loss: 5.3544 +2024-01-01 18:55:26,606 - pyskl - INFO - Epoch [85][1100/3746] lr: 4.033e-02, eta: 1 day, 19:22:42, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3209, top5_acc: 0.5809, loss_cls: 5.4352, loss: 5.4352 +2024-01-01 18:56:26,094 - pyskl - INFO - Epoch [85][1200/3746] lr: 4.030e-02, eta: 1 day, 19:21:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3333, top5_acc: 0.5894, loss_cls: 5.3651, loss: 5.3651 +2024-01-01 18:57:25,628 - pyskl - INFO - Epoch [85][1300/3746] lr: 4.027e-02, eta: 1 day, 19:19:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3358, top5_acc: 0.5955, loss_cls: 5.3395, loss: 5.3395 +2024-01-01 18:58:25,109 - pyskl - INFO - Epoch [85][1400/3746] lr: 4.025e-02, eta: 1 day, 19:17:46, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3337, top5_acc: 0.5875, loss_cls: 5.3752, loss: 5.3752 +2024-01-01 18:59:24,609 - pyskl - INFO - Epoch [85][1500/3746] lr: 4.022e-02, eta: 1 day, 19:16:08, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3302, top5_acc: 0.5870, loss_cls: 5.3694, loss: 5.3694 +2024-01-01 19:00:24,128 - pyskl - INFO - Epoch [85][1600/3746] lr: 4.019e-02, eta: 1 day, 19:14:30, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3302, top5_acc: 0.5927, loss_cls: 5.3917, loss: 5.3917 +2024-01-01 19:01:23,816 - pyskl - INFO - Epoch [85][1700/3746] lr: 4.016e-02, eta: 1 day, 19:12:55, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3266, top5_acc: 0.5903, loss_cls: 5.3776, loss: 5.3776 +2024-01-01 19:02:23,481 - pyskl - INFO - Epoch [85][1800/3746] lr: 4.014e-02, eta: 1 day, 19:11:19, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3234, top5_acc: 0.5780, loss_cls: 5.4107, loss: 5.4107 +2024-01-01 19:03:23,452 - pyskl - INFO - Epoch [85][1900/3746] lr: 4.011e-02, eta: 1 day, 19:09:46, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3294, top5_acc: 0.5859, loss_cls: 5.3829, loss: 5.3829 +2024-01-01 19:04:23,056 - pyskl - INFO - Epoch [85][2000/3746] lr: 4.008e-02, eta: 1 day, 19:08:10, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3278, top5_acc: 0.5853, loss_cls: 5.3787, loss: 5.3787 +2024-01-01 19:05:22,995 - pyskl - INFO - Epoch [85][2100/3746] lr: 4.006e-02, eta: 1 day, 19:06:38, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3205, top5_acc: 0.5811, loss_cls: 5.4019, loss: 5.4019 +2024-01-01 19:06:22,593 - pyskl - INFO - Epoch [85][2200/3746] lr: 4.003e-02, eta: 1 day, 19:05:02, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3395, top5_acc: 0.6041, loss_cls: 5.3108, loss: 5.3108 +2024-01-01 19:07:22,394 - pyskl - INFO - Epoch [85][2300/3746] lr: 4.000e-02, eta: 1 day, 19:03:29, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3331, top5_acc: 0.6005, loss_cls: 5.3612, loss: 5.3612 +2024-01-01 19:08:22,188 - pyskl - INFO - Epoch [85][2400/3746] lr: 3.997e-02, eta: 1 day, 19:01:56, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3262, top5_acc: 0.5928, loss_cls: 5.3723, loss: 5.3723 +2024-01-01 19:09:22,101 - pyskl - INFO - Epoch [85][2500/3746] lr: 3.995e-02, eta: 1 day, 19:00:24, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3277, top5_acc: 0.5919, loss_cls: 5.3683, loss: 5.3683 +2024-01-01 19:10:22,051 - pyskl - INFO - Epoch [85][2600/3746] lr: 3.992e-02, eta: 1 day, 18:58:53, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3348, top5_acc: 0.5991, loss_cls: 5.3448, loss: 5.3448 +2024-01-01 19:11:22,016 - pyskl - INFO - Epoch [85][2700/3746] lr: 3.989e-02, eta: 1 day, 18:57:21, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3336, top5_acc: 0.5919, loss_cls: 5.3829, loss: 5.3829 +2024-01-01 19:12:21,845 - pyskl - INFO - Epoch [85][2800/3746] lr: 3.986e-02, eta: 1 day, 18:55:50, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3319, top5_acc: 0.5887, loss_cls: 5.3851, loss: 5.3851 +2024-01-01 19:13:21,457 - pyskl - INFO - Epoch [85][2900/3746] lr: 3.984e-02, eta: 1 day, 18:54:16, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3192, top5_acc: 0.5905, loss_cls: 5.3953, loss: 5.3953 +2024-01-01 19:14:21,299 - pyskl - INFO - Epoch [85][3000/3746] lr: 3.981e-02, eta: 1 day, 18:52:45, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3352, top5_acc: 0.5894, loss_cls: 5.3765, loss: 5.3765 +2024-01-01 19:15:21,229 - pyskl - INFO - Epoch [85][3100/3746] lr: 3.978e-02, eta: 1 day, 18:51:14, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3239, top5_acc: 0.5822, loss_cls: 5.4150, loss: 5.4150 +2024-01-01 19:16:20,889 - pyskl - INFO - Epoch [85][3200/3746] lr: 3.975e-02, eta: 1 day, 18:49:42, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3408, top5_acc: 0.5909, loss_cls: 5.3517, loss: 5.3517 +2024-01-01 19:17:20,661 - pyskl - INFO - Epoch [85][3300/3746] lr: 3.973e-02, eta: 1 day, 18:48:10, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3152, top5_acc: 0.5823, loss_cls: 5.4198, loss: 5.4198 +2024-01-01 19:18:20,708 - pyskl - INFO - Epoch [85][3400/3746] lr: 3.970e-02, eta: 1 day, 18:46:41, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3361, top5_acc: 0.5942, loss_cls: 5.3376, loss: 5.3376 +2024-01-01 19:19:20,848 - pyskl - INFO - Epoch [85][3500/3746] lr: 3.967e-02, eta: 1 day, 18:45:13, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3303, top5_acc: 0.6012, loss_cls: 5.3341, loss: 5.3341 +2024-01-01 19:20:21,768 - pyskl - INFO - Epoch [85][3600/3746] lr: 3.964e-02, eta: 1 day, 18:43:52, time: 0.609, data_time: 0.001, memory: 16180, top1_acc: 0.3337, top5_acc: 0.6027, loss_cls: 5.3513, loss: 5.3513 +2024-01-01 19:21:22,527 - pyskl - INFO - Epoch [85][3700/3746] lr: 3.962e-02, eta: 1 day, 18:42:30, time: 0.608, data_time: 0.001, memory: 16180, top1_acc: 0.3305, top5_acc: 0.5905, loss_cls: 5.3638, loss: 5.3638 +2024-01-01 19:21:52,482 - pyskl - INFO - Saving checkpoint at 85 epochs +2024-01-01 19:23:49,282 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 19:23:50,096 - pyskl - INFO - +top1_acc 0.2687 +top5_acc 0.5207 +2024-01-01 19:23:50,096 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 19:23:50,126 - pyskl - INFO - +mean_acc 0.2684 +2024-01-01 19:23:50,133 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_82.pth was removed +2024-01-01 19:23:50,352 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_85.pth. +2024-01-01 19:23:50,352 - pyskl - INFO - Best top1_acc is 0.2687 at 85 epoch. +2024-01-01 19:23:50,359 - pyskl - INFO - Epoch(val) [85][309] top1_acc: 0.2687, top5_acc: 0.5207, mean_class_accuracy: 0.2684 +2024-01-01 19:27:13,585 - pyskl - INFO - Epoch [86][100/3746] lr: 3.958e-02, eta: 1 day, 18:55:56, time: 2.032, data_time: 1.433, memory: 16180, top1_acc: 0.3403, top5_acc: 0.6120, loss_cls: 5.2552, loss: 5.2552 +2024-01-01 19:28:13,461 - pyskl - INFO - Epoch [86][200/3746] lr: 3.955e-02, eta: 1 day, 18:54:23, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3355, top5_acc: 0.6045, loss_cls: 5.3099, loss: 5.3099 +2024-01-01 19:29:13,154 - pyskl - INFO - Epoch [86][300/3746] lr: 3.952e-02, eta: 1 day, 18:52:49, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3378, top5_acc: 0.5977, loss_cls: 5.3349, loss: 5.3349 +2024-01-01 19:30:12,977 - pyskl - INFO - Epoch [86][400/3746] lr: 3.950e-02, eta: 1 day, 18:51:17, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3337, top5_acc: 0.6042, loss_cls: 5.3331, loss: 5.3331 +2024-01-01 19:31:12,674 - pyskl - INFO - Epoch [86][500/3746] lr: 3.947e-02, eta: 1 day, 18:49:43, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3262, top5_acc: 0.5917, loss_cls: 5.3667, loss: 5.3667 +2024-01-01 19:32:12,568 - pyskl - INFO - Epoch [86][600/3746] lr: 3.944e-02, eta: 1 day, 18:48:11, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3439, top5_acc: 0.6038, loss_cls: 5.3080, loss: 5.3080 +2024-01-01 19:33:12,354 - pyskl - INFO - Epoch [86][700/3746] lr: 3.941e-02, eta: 1 day, 18:46:39, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3406, top5_acc: 0.6075, loss_cls: 5.2954, loss: 5.2954 +2024-01-01 19:34:12,591 - pyskl - INFO - Epoch [86][800/3746] lr: 3.939e-02, eta: 1 day, 18:45:10, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3283, top5_acc: 0.5911, loss_cls: 5.3713, loss: 5.3713 +2024-01-01 19:35:12,628 - pyskl - INFO - Epoch [86][900/3746] lr: 3.936e-02, eta: 1 day, 18:43:40, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3409, top5_acc: 0.5995, loss_cls: 5.3235, loss: 5.3235 +2024-01-01 19:36:12,660 - pyskl - INFO - Epoch [86][1000/3746] lr: 3.933e-02, eta: 1 day, 18:42:11, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3192, top5_acc: 0.5861, loss_cls: 5.3836, loss: 5.3836 +2024-01-01 19:37:12,607 - pyskl - INFO - Epoch [86][1100/3746] lr: 3.930e-02, eta: 1 day, 18:40:40, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3306, top5_acc: 0.5941, loss_cls: 5.3673, loss: 5.3673 +2024-01-01 19:38:12,622 - pyskl - INFO - Epoch [86][1200/3746] lr: 3.928e-02, eta: 1 day, 18:39:11, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3342, top5_acc: 0.5984, loss_cls: 5.3291, loss: 5.3291 +2024-01-01 19:39:12,374 - pyskl - INFO - Epoch [86][1300/3746] lr: 3.925e-02, eta: 1 day, 18:37:39, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3298, top5_acc: 0.5933, loss_cls: 5.3466, loss: 5.3466 +2024-01-01 19:40:12,467 - pyskl - INFO - Epoch [86][1400/3746] lr: 3.922e-02, eta: 1 day, 18:36:11, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3397, top5_acc: 0.5986, loss_cls: 5.3188, loss: 5.3188 +2024-01-01 19:41:12,379 - pyskl - INFO - Epoch [86][1500/3746] lr: 3.919e-02, eta: 1 day, 18:34:41, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3316, top5_acc: 0.5889, loss_cls: 5.3675, loss: 5.3675 +2024-01-01 19:42:11,924 - pyskl - INFO - Epoch [86][1600/3746] lr: 3.917e-02, eta: 1 day, 18:33:08, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3361, top5_acc: 0.5934, loss_cls: 5.3345, loss: 5.3345 +2024-01-01 19:43:11,394 - pyskl - INFO - Epoch [86][1700/3746] lr: 3.914e-02, eta: 1 day, 18:31:36, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3406, top5_acc: 0.5973, loss_cls: 5.3574, loss: 5.3574 +2024-01-01 19:44:11,014 - pyskl - INFO - Epoch [86][1800/3746] lr: 3.911e-02, eta: 1 day, 18:30:04, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3250, top5_acc: 0.5944, loss_cls: 5.3791, loss: 5.3791 +2024-01-01 19:45:10,825 - pyskl - INFO - Epoch [86][1900/3746] lr: 3.909e-02, eta: 1 day, 18:28:34, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3375, top5_acc: 0.6030, loss_cls: 5.3276, loss: 5.3276 +2024-01-01 19:46:10,575 - pyskl - INFO - Epoch [86][2000/3746] lr: 3.906e-02, eta: 1 day, 18:27:04, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3305, top5_acc: 0.5903, loss_cls: 5.3662, loss: 5.3662 +2024-01-01 19:47:10,044 - pyskl - INFO - Epoch [86][2100/3746] lr: 3.903e-02, eta: 1 day, 18:25:32, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3312, top5_acc: 0.5869, loss_cls: 5.3783, loss: 5.3783 +2024-01-01 19:48:10,173 - pyskl - INFO - Epoch [86][2200/3746] lr: 3.900e-02, eta: 1 day, 18:24:05, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3258, top5_acc: 0.5909, loss_cls: 5.3838, loss: 5.3838 +2024-01-01 19:49:10,755 - pyskl - INFO - Epoch [86][2300/3746] lr: 3.898e-02, eta: 1 day, 18:22:42, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3325, top5_acc: 0.6016, loss_cls: 5.3273, loss: 5.3273 +2024-01-01 19:50:11,133 - pyskl - INFO - Epoch [86][2400/3746] lr: 3.895e-02, eta: 1 day, 18:21:17, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3366, top5_acc: 0.5998, loss_cls: 5.3378, loss: 5.3378 +2024-01-01 19:51:11,767 - pyskl - INFO - Epoch [86][2500/3746] lr: 3.892e-02, eta: 1 day, 18:19:55, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3267, top5_acc: 0.5972, loss_cls: 5.3674, loss: 5.3674 +2024-01-01 19:52:12,240 - pyskl - INFO - Epoch [86][2600/3746] lr: 3.889e-02, eta: 1 day, 18:18:31, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3417, top5_acc: 0.6070, loss_cls: 5.3051, loss: 5.3051 +2024-01-01 19:53:13,056 - pyskl - INFO - Epoch [86][2700/3746] lr: 3.887e-02, eta: 1 day, 18:17:10, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3298, top5_acc: 0.5928, loss_cls: 5.3603, loss: 5.3603 +2024-01-01 19:54:12,811 - pyskl - INFO - Epoch [86][2800/3746] lr: 3.884e-02, eta: 1 day, 18:15:41, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3252, top5_acc: 0.5891, loss_cls: 5.3894, loss: 5.3894 +2024-01-01 19:55:13,244 - pyskl - INFO - Epoch [86][2900/3746] lr: 3.881e-02, eta: 1 day, 18:14:18, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3236, top5_acc: 0.5859, loss_cls: 5.3963, loss: 5.3963 +2024-01-01 19:56:13,657 - pyskl - INFO - Epoch [86][3000/3746] lr: 3.879e-02, eta: 1 day, 18:12:54, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3319, top5_acc: 0.5958, loss_cls: 5.3687, loss: 5.3687 +2024-01-01 19:57:13,351 - pyskl - INFO - Epoch [86][3100/3746] lr: 3.876e-02, eta: 1 day, 18:11:26, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3320, top5_acc: 0.5922, loss_cls: 5.3677, loss: 5.3677 +2024-01-01 19:58:13,209 - pyskl - INFO - Epoch [86][3200/3746] lr: 3.873e-02, eta: 1 day, 18:09:58, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3269, top5_acc: 0.5927, loss_cls: 5.3724, loss: 5.3724 +2024-01-01 19:59:13,963 - pyskl - INFO - Epoch [86][3300/3746] lr: 3.870e-02, eta: 1 day, 18:08:38, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3266, top5_acc: 0.5913, loss_cls: 5.3900, loss: 5.3900 +2024-01-01 20:00:14,567 - pyskl - INFO - Epoch [86][3400/3746] lr: 3.868e-02, eta: 1 day, 18:07:16, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3248, top5_acc: 0.5930, loss_cls: 5.3693, loss: 5.3693 +2024-01-01 20:01:15,469 - pyskl - INFO - Epoch [86][3500/3746] lr: 3.865e-02, eta: 1 day, 18:05:57, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3242, top5_acc: 0.5878, loss_cls: 5.3751, loss: 5.3751 +2024-01-01 20:02:17,225 - pyskl - INFO - Epoch [86][3600/3746] lr: 3.862e-02, eta: 1 day, 18:04:44, time: 0.618, data_time: 0.001, memory: 16180, top1_acc: 0.3314, top5_acc: 0.5905, loss_cls: 5.3823, loss: 5.3823 +2024-01-01 20:03:18,110 - pyskl - INFO - Epoch [86][3700/3746] lr: 3.860e-02, eta: 1 day, 18:03:24, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3375, top5_acc: 0.5994, loss_cls: 5.3292, loss: 5.3292 +2024-01-01 20:03:47,985 - pyskl - INFO - Saving checkpoint at 86 epochs +2024-01-01 20:05:41,082 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 20:05:41,856 - pyskl - INFO - +top1_acc 0.2693 +top5_acc 0.5202 +2024-01-01 20:05:41,856 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 20:05:41,886 - pyskl - INFO - +mean_acc 0.2690 +2024-01-01 20:05:41,891 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_85.pth was removed +2024-01-01 20:05:42,128 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. +2024-01-01 20:05:42,129 - pyskl - INFO - Best top1_acc is 0.2693 at 86 epoch. +2024-01-01 20:05:42,137 - pyskl - INFO - Epoch(val) [86][309] top1_acc: 0.2693, top5_acc: 0.5202, mean_class_accuracy: 0.2690 +2024-01-01 20:09:01,294 - pyskl - INFO - Epoch [87][100/3746] lr: 3.856e-02, eta: 1 day, 18:14:30, time: 1.991, data_time: 1.391, memory: 16180, top1_acc: 0.3336, top5_acc: 0.5917, loss_cls: 5.3528, loss: 5.3528 +2024-01-01 20:10:01,988 - pyskl - INFO - Epoch [87][200/3746] lr: 3.853e-02, eta: 1 day, 18:13:07, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3356, top5_acc: 0.6084, loss_cls: 5.3125, loss: 5.3125 +2024-01-01 20:11:02,006 - pyskl - INFO - Epoch [87][300/3746] lr: 3.850e-02, eta: 1 day, 18:11:40, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3503, top5_acc: 0.6059, loss_cls: 5.2768, loss: 5.2768 +2024-01-01 20:12:01,703 - pyskl - INFO - Epoch [87][400/3746] lr: 3.847e-02, eta: 1 day, 18:10:10, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3314, top5_acc: 0.6002, loss_cls: 5.3426, loss: 5.3426 +2024-01-01 20:13:01,922 - pyskl - INFO - Epoch [87][500/3746] lr: 3.845e-02, eta: 1 day, 18:08:44, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3430, top5_acc: 0.6005, loss_cls: 5.3148, loss: 5.3148 +2024-01-01 20:14:01,891 - pyskl - INFO - Epoch [87][600/3746] lr: 3.842e-02, eta: 1 day, 18:07:17, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3361, top5_acc: 0.6028, loss_cls: 5.3065, loss: 5.3065 +2024-01-01 20:15:02,585 - pyskl - INFO - Epoch [87][700/3746] lr: 3.839e-02, eta: 1 day, 18:05:54, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3262, top5_acc: 0.5978, loss_cls: 5.3499, loss: 5.3499 +2024-01-01 20:16:02,786 - pyskl - INFO - Epoch [87][800/3746] lr: 3.837e-02, eta: 1 day, 18:04:29, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3342, top5_acc: 0.6102, loss_cls: 5.2814, loss: 5.2814 +2024-01-01 20:17:02,447 - pyskl - INFO - Epoch [87][900/3746] lr: 3.834e-02, eta: 1 day, 18:03:00, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3419, top5_acc: 0.5994, loss_cls: 5.2901, loss: 5.2901 +2024-01-01 20:18:02,502 - pyskl - INFO - Epoch [87][1000/3746] lr: 3.831e-02, eta: 1 day, 18:01:33, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3355, top5_acc: 0.5933, loss_cls: 5.3460, loss: 5.3460 +2024-01-01 20:19:02,386 - pyskl - INFO - Epoch [87][1100/3746] lr: 3.828e-02, eta: 1 day, 18:00:06, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3369, top5_acc: 0.5955, loss_cls: 5.3365, loss: 5.3365 +2024-01-01 20:20:02,142 - pyskl - INFO - Epoch [87][1200/3746] lr: 3.826e-02, eta: 1 day, 17:58:38, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3331, top5_acc: 0.5950, loss_cls: 5.3586, loss: 5.3586 +2024-01-01 20:21:01,936 - pyskl - INFO - Epoch [87][1300/3746] lr: 3.823e-02, eta: 1 day, 17:57:10, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3312, top5_acc: 0.5914, loss_cls: 5.3434, loss: 5.3434 +2024-01-01 20:22:01,543 - pyskl - INFO - Epoch [87][1400/3746] lr: 3.820e-02, eta: 1 day, 17:55:42, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3311, top5_acc: 0.5928, loss_cls: 5.3428, loss: 5.3428 +2024-01-01 20:23:01,614 - pyskl - INFO - Epoch [87][1500/3746] lr: 3.817e-02, eta: 1 day, 17:54:16, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3298, top5_acc: 0.5925, loss_cls: 5.3355, loss: 5.3355 +2024-01-01 20:24:01,307 - pyskl - INFO - Epoch [87][1600/3746] lr: 3.815e-02, eta: 1 day, 17:52:49, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3309, top5_acc: 0.6008, loss_cls: 5.3359, loss: 5.3359 +2024-01-01 20:25:01,272 - pyskl - INFO - Epoch [87][1700/3746] lr: 3.812e-02, eta: 1 day, 17:51:23, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3377, top5_acc: 0.6047, loss_cls: 5.3328, loss: 5.3328 +2024-01-01 20:26:01,368 - pyskl - INFO - Epoch [87][1800/3746] lr: 3.809e-02, eta: 1 day, 17:49:58, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3253, top5_acc: 0.5958, loss_cls: 5.3626, loss: 5.3626 +2024-01-01 20:27:01,170 - pyskl - INFO - Epoch [87][1900/3746] lr: 3.807e-02, eta: 1 day, 17:48:31, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3328, top5_acc: 0.6011, loss_cls: 5.3400, loss: 5.3400 +2024-01-01 20:28:01,349 - pyskl - INFO - Epoch [87][2000/3746] lr: 3.804e-02, eta: 1 day, 17:47:07, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3306, top5_acc: 0.5941, loss_cls: 5.3493, loss: 5.3493 +2024-01-01 20:29:01,525 - pyskl - INFO - Epoch [87][2100/3746] lr: 3.801e-02, eta: 1 day, 17:45:44, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3330, top5_acc: 0.5936, loss_cls: 5.3415, loss: 5.3415 +2024-01-01 20:30:01,727 - pyskl - INFO - Epoch [87][2200/3746] lr: 3.798e-02, eta: 1 day, 17:44:20, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3373, top5_acc: 0.6038, loss_cls: 5.3267, loss: 5.3267 +2024-01-01 20:31:02,221 - pyskl - INFO - Epoch [87][2300/3746] lr: 3.796e-02, eta: 1 day, 17:42:59, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3314, top5_acc: 0.5981, loss_cls: 5.3279, loss: 5.3279 +2024-01-01 20:32:02,862 - pyskl - INFO - Epoch [87][2400/3746] lr: 3.793e-02, eta: 1 day, 17:41:38, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3336, top5_acc: 0.6003, loss_cls: 5.3085, loss: 5.3085 +2024-01-01 20:33:03,463 - pyskl - INFO - Epoch [87][2500/3746] lr: 3.790e-02, eta: 1 day, 17:40:18, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3433, top5_acc: 0.5970, loss_cls: 5.3083, loss: 5.3083 +2024-01-01 20:34:03,959 - pyskl - INFO - Epoch [87][2600/3746] lr: 3.788e-02, eta: 1 day, 17:38:57, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3364, top5_acc: 0.5992, loss_cls: 5.3385, loss: 5.3385 +2024-01-01 20:35:04,548 - pyskl - INFO - Epoch [87][2700/3746] lr: 3.785e-02, eta: 1 day, 17:37:36, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3266, top5_acc: 0.5900, loss_cls: 5.3631, loss: 5.3631 +2024-01-01 20:36:05,076 - pyskl - INFO - Epoch [87][2800/3746] lr: 3.782e-02, eta: 1 day, 17:36:15, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3261, top5_acc: 0.5934, loss_cls: 5.3739, loss: 5.3739 +2024-01-01 20:37:05,625 - pyskl - INFO - Epoch [87][2900/3746] lr: 3.779e-02, eta: 1 day, 17:34:55, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3295, top5_acc: 0.5913, loss_cls: 5.3647, loss: 5.3647 +2024-01-01 20:38:06,084 - pyskl - INFO - Epoch [87][3000/3746] lr: 3.777e-02, eta: 1 day, 17:33:34, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3409, top5_acc: 0.5995, loss_cls: 5.3221, loss: 5.3221 +2024-01-01 20:39:06,822 - pyskl - INFO - Epoch [87][3100/3746] lr: 3.774e-02, eta: 1 day, 17:32:15, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3245, top5_acc: 0.5945, loss_cls: 5.3774, loss: 5.3774 +2024-01-01 20:40:07,690 - pyskl - INFO - Epoch [87][3200/3746] lr: 3.771e-02, eta: 1 day, 17:30:57, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3231, top5_acc: 0.5980, loss_cls: 5.3525, loss: 5.3525 +2024-01-01 20:41:08,357 - pyskl - INFO - Epoch [87][3300/3746] lr: 3.769e-02, eta: 1 day, 17:29:38, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3383, top5_acc: 0.5958, loss_cls: 5.3248, loss: 5.3248 +2024-01-01 20:42:08,965 - pyskl - INFO - Epoch [87][3400/3746] lr: 3.766e-02, eta: 1 day, 17:28:18, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3353, top5_acc: 0.5936, loss_cls: 5.3555, loss: 5.3555 +2024-01-01 20:43:09,438 - pyskl - INFO - Epoch [87][3500/3746] lr: 3.763e-02, eta: 1 day, 17:26:58, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3344, top5_acc: 0.6006, loss_cls: 5.3374, loss: 5.3374 +2024-01-01 20:44:10,703 - pyskl - INFO - Epoch [87][3600/3746] lr: 3.761e-02, eta: 1 day, 17:25:43, time: 0.613, data_time: 0.000, memory: 16180, top1_acc: 0.3309, top5_acc: 0.5848, loss_cls: 5.3639, loss: 5.3639 +2024-01-01 20:45:11,788 - pyskl - INFO - Epoch [87][3700/3746] lr: 3.758e-02, eta: 1 day, 17:24:26, time: 0.611, data_time: 0.000, memory: 16180, top1_acc: 0.3289, top5_acc: 0.5852, loss_cls: 5.3708, loss: 5.3708 +2024-01-01 20:45:41,565 - pyskl - INFO - Saving checkpoint at 87 epochs +2024-01-01 20:47:37,435 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 20:47:38,248 - pyskl - INFO - +top1_acc 0.2728 +top5_acc 0.5207 +2024-01-01 20:47:38,249 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 20:47:38,284 - pyskl - INFO - +mean_acc 0.2727 +2024-01-01 20:47:38,290 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_86.pth was removed +2024-01-01 20:47:38,526 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. +2024-01-01 20:47:38,527 - pyskl - INFO - Best top1_acc is 0.2728 at 87 epoch. +2024-01-01 20:47:38,535 - pyskl - INFO - Epoch(val) [87][309] top1_acc: 0.2728, top5_acc: 0.5207, mean_class_accuracy: 0.2727 +2024-01-01 20:50:53,362 - pyskl - INFO - Epoch [88][100/3746] lr: 3.754e-02, eta: 1 day, 17:33:39, time: 1.948, data_time: 1.351, memory: 16180, top1_acc: 0.3467, top5_acc: 0.6144, loss_cls: 5.2280, loss: 5.2280 +2024-01-01 20:51:53,497 - pyskl - INFO - Epoch [88][200/3746] lr: 3.751e-02, eta: 1 day, 17:32:15, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3319, top5_acc: 0.5878, loss_cls: 5.3533, loss: 5.3533 +2024-01-01 20:52:53,466 - pyskl - INFO - Epoch [88][300/3746] lr: 3.748e-02, eta: 1 day, 17:30:50, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3367, top5_acc: 0.5952, loss_cls: 5.3251, loss: 5.3251 +2024-01-01 20:53:53,105 - pyskl - INFO - Epoch [88][400/3746] lr: 3.746e-02, eta: 1 day, 17:29:23, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3375, top5_acc: 0.6122, loss_cls: 5.2344, loss: 5.2344 +2024-01-01 20:54:52,562 - pyskl - INFO - Epoch [88][500/3746] lr: 3.743e-02, eta: 1 day, 17:27:55, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3347, top5_acc: 0.5969, loss_cls: 5.3625, loss: 5.3625 +2024-01-01 20:55:52,560 - pyskl - INFO - Epoch [88][600/3746] lr: 3.740e-02, eta: 1 day, 17:26:31, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3322, top5_acc: 0.6020, loss_cls: 5.3238, loss: 5.3238 +2024-01-01 20:56:51,872 - pyskl - INFO - Epoch [88][700/3746] lr: 3.738e-02, eta: 1 day, 17:25:02, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3347, top5_acc: 0.6003, loss_cls: 5.3205, loss: 5.3205 +2024-01-01 20:57:51,498 - pyskl - INFO - Epoch [88][800/3746] lr: 3.735e-02, eta: 1 day, 17:23:36, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3375, top5_acc: 0.6017, loss_cls: 5.3045, loss: 5.3045 +2024-01-01 20:58:51,463 - pyskl - INFO - Epoch [88][900/3746] lr: 3.732e-02, eta: 1 day, 17:22:12, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3266, top5_acc: 0.5980, loss_cls: 5.3381, loss: 5.3381 +2024-01-01 20:59:51,444 - pyskl - INFO - Epoch [88][1000/3746] lr: 3.730e-02, eta: 1 day, 17:20:48, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3298, top5_acc: 0.5895, loss_cls: 5.3452, loss: 5.3452 +2024-01-01 21:00:51,444 - pyskl - INFO - Epoch [88][1100/3746] lr: 3.727e-02, eta: 1 day, 17:19:24, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3355, top5_acc: 0.6019, loss_cls: 5.3250, loss: 5.3250 +2024-01-01 21:01:52,025 - pyskl - INFO - Epoch [88][1200/3746] lr: 3.724e-02, eta: 1 day, 17:18:04, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3453, top5_acc: 0.6008, loss_cls: 5.2923, loss: 5.2923 +2024-01-01 21:02:52,610 - pyskl - INFO - Epoch [88][1300/3746] lr: 3.721e-02, eta: 1 day, 17:16:44, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3300, top5_acc: 0.5933, loss_cls: 5.3423, loss: 5.3423 +2024-01-01 21:03:53,140 - pyskl - INFO - Epoch [88][1400/3746] lr: 3.719e-02, eta: 1 day, 17:15:24, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3367, top5_acc: 0.6061, loss_cls: 5.3227, loss: 5.3227 +2024-01-01 21:04:53,626 - pyskl - INFO - Epoch [88][1500/3746] lr: 3.716e-02, eta: 1 day, 17:14:04, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3373, top5_acc: 0.5941, loss_cls: 5.3318, loss: 5.3318 +2024-01-01 21:05:54,165 - pyskl - INFO - Epoch [88][1600/3746] lr: 3.713e-02, eta: 1 day, 17:12:44, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3317, top5_acc: 0.6050, loss_cls: 5.3292, loss: 5.3292 +2024-01-01 21:06:54,816 - pyskl - INFO - Epoch [88][1700/3746] lr: 3.711e-02, eta: 1 day, 17:11:25, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3403, top5_acc: 0.5955, loss_cls: 5.3385, loss: 5.3385 +2024-01-01 21:07:54,724 - pyskl - INFO - Epoch [88][1800/3746] lr: 3.708e-02, eta: 1 day, 17:10:01, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3333, top5_acc: 0.6006, loss_cls: 5.3287, loss: 5.3287 +2024-01-01 21:08:54,917 - pyskl - INFO - Epoch [88][1900/3746] lr: 3.705e-02, eta: 1 day, 17:08:39, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3384, top5_acc: 0.6002, loss_cls: 5.3222, loss: 5.3222 +2024-01-01 21:09:55,451 - pyskl - INFO - Epoch [88][2000/3746] lr: 3.703e-02, eta: 1 day, 17:07:20, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3406, top5_acc: 0.5956, loss_cls: 5.3340, loss: 5.3340 +2024-01-01 21:10:55,978 - pyskl - INFO - Epoch [88][2100/3746] lr: 3.700e-02, eta: 1 day, 17:06:01, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3409, top5_acc: 0.5925, loss_cls: 5.3327, loss: 5.3327 +2024-01-01 21:11:55,953 - pyskl - INFO - Epoch [88][2200/3746] lr: 3.697e-02, eta: 1 day, 17:04:38, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3436, top5_acc: 0.5995, loss_cls: 5.3024, loss: 5.3024 +2024-01-01 21:12:55,855 - pyskl - INFO - Epoch [88][2300/3746] lr: 3.694e-02, eta: 1 day, 17:03:15, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3408, top5_acc: 0.6008, loss_cls: 5.3163, loss: 5.3163 +2024-01-01 21:13:55,886 - pyskl - INFO - Epoch [88][2400/3746] lr: 3.692e-02, eta: 1 day, 17:01:53, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3450, top5_acc: 0.6081, loss_cls: 5.3021, loss: 5.3021 +2024-01-01 21:14:55,449 - pyskl - INFO - Epoch [88][2500/3746] lr: 3.689e-02, eta: 1 day, 17:00:28, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3347, top5_acc: 0.5988, loss_cls: 5.3124, loss: 5.3124 +2024-01-01 21:15:55,160 - pyskl - INFO - Epoch [88][2600/3746] lr: 3.686e-02, eta: 1 day, 16:59:04, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3325, top5_acc: 0.5892, loss_cls: 5.3660, loss: 5.3660 +2024-01-01 21:16:54,921 - pyskl - INFO - Epoch [88][2700/3746] lr: 3.684e-02, eta: 1 day, 16:57:41, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3397, top5_acc: 0.6038, loss_cls: 5.3078, loss: 5.3078 +2024-01-01 21:17:54,640 - pyskl - INFO - Epoch [88][2800/3746] lr: 3.681e-02, eta: 1 day, 16:56:18, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3245, top5_acc: 0.5859, loss_cls: 5.3933, loss: 5.3933 +2024-01-01 21:18:54,280 - pyskl - INFO - Epoch [88][2900/3746] lr: 3.678e-02, eta: 1 day, 16:54:54, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3458, top5_acc: 0.6042, loss_cls: 5.3018, loss: 5.3018 +2024-01-01 21:19:53,994 - pyskl - INFO - Epoch [88][3000/3746] lr: 3.676e-02, eta: 1 day, 16:53:31, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3439, top5_acc: 0.6047, loss_cls: 5.3101, loss: 5.3101 +2024-01-01 21:20:53,309 - pyskl - INFO - Epoch [88][3100/3746] lr: 3.673e-02, eta: 1 day, 16:52:05, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3323, top5_acc: 0.5881, loss_cls: 5.3821, loss: 5.3821 +2024-01-01 21:21:52,669 - pyskl - INFO - Epoch [88][3200/3746] lr: 3.670e-02, eta: 1 day, 16:50:40, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3353, top5_acc: 0.5989, loss_cls: 5.3178, loss: 5.3178 +2024-01-01 21:22:52,194 - pyskl - INFO - Epoch [88][3300/3746] lr: 3.667e-02, eta: 1 day, 16:49:16, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3419, top5_acc: 0.5927, loss_cls: 5.3252, loss: 5.3252 +2024-01-01 21:23:51,610 - pyskl - INFO - Epoch [88][3400/3746] lr: 3.665e-02, eta: 1 day, 16:47:52, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3312, top5_acc: 0.5898, loss_cls: 5.3568, loss: 5.3568 +2024-01-01 21:24:51,754 - pyskl - INFO - Epoch [88][3500/3746] lr: 3.662e-02, eta: 1 day, 16:46:32, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3319, top5_acc: 0.5991, loss_cls: 5.3307, loss: 5.3307 +2024-01-01 21:25:52,316 - pyskl - INFO - Epoch [88][3600/3746] lr: 3.659e-02, eta: 1 day, 16:45:14, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3336, top5_acc: 0.6009, loss_cls: 5.3173, loss: 5.3173 +2024-01-01 21:26:53,104 - pyskl - INFO - Epoch [88][3700/3746] lr: 3.657e-02, eta: 1 day, 16:43:58, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3261, top5_acc: 0.5933, loss_cls: 5.3662, loss: 5.3662 +2024-01-01 21:27:23,044 - pyskl - INFO - Saving checkpoint at 88 epochs +2024-01-01 21:29:17,236 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 21:29:18,065 - pyskl - INFO - +top1_acc 0.2631 +top5_acc 0.5150 +2024-01-01 21:29:18,065 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 21:29:18,099 - pyskl - INFO - +mean_acc 0.2629 +2024-01-01 21:29:18,107 - pyskl - INFO - Epoch(val) [88][309] top1_acc: 0.2631, top5_acc: 0.5150, mean_class_accuracy: 0.2629 +2024-01-01 21:32:38,210 - pyskl - INFO - Epoch [89][100/3746] lr: 3.653e-02, eta: 1 day, 16:52:32, time: 2.001, data_time: 1.404, memory: 16180, top1_acc: 0.3559, top5_acc: 0.6125, loss_cls: 5.2495, loss: 5.2495 +2024-01-01 21:33:38,148 - pyskl - INFO - Epoch [89][200/3746] lr: 3.650e-02, eta: 1 day, 16:51:10, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3389, top5_acc: 0.6177, loss_cls: 5.2489, loss: 5.2489 +2024-01-01 21:34:38,509 - pyskl - INFO - Epoch [89][300/3746] lr: 3.647e-02, eta: 1 day, 16:49:49, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3330, top5_acc: 0.6016, loss_cls: 5.3256, loss: 5.3256 +2024-01-01 21:35:38,345 - pyskl - INFO - Epoch [89][400/3746] lr: 3.645e-02, eta: 1 day, 16:48:26, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3384, top5_acc: 0.6052, loss_cls: 5.3074, loss: 5.3074 +2024-01-01 21:36:37,773 - pyskl - INFO - Epoch [89][500/3746] lr: 3.642e-02, eta: 1 day, 16:47:01, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3475, top5_acc: 0.6136, loss_cls: 5.2538, loss: 5.2538 +2024-01-01 21:37:37,258 - pyskl - INFO - Epoch [89][600/3746] lr: 3.639e-02, eta: 1 day, 16:45:36, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3400, top5_acc: 0.6062, loss_cls: 5.2912, loss: 5.2912 +2024-01-01 21:38:36,412 - pyskl - INFO - Epoch [89][700/3746] lr: 3.637e-02, eta: 1 day, 16:44:10, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3461, top5_acc: 0.6034, loss_cls: 5.2903, loss: 5.2903 +2024-01-01 21:39:35,661 - pyskl - INFO - Epoch [89][800/3746] lr: 3.634e-02, eta: 1 day, 16:42:44, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3381, top5_acc: 0.6028, loss_cls: 5.3046, loss: 5.3046 +2024-01-01 21:40:34,731 - pyskl - INFO - Epoch [89][900/3746] lr: 3.631e-02, eta: 1 day, 16:41:17, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3372, top5_acc: 0.6039, loss_cls: 5.3025, loss: 5.3025 +2024-01-01 21:41:34,379 - pyskl - INFO - Epoch [89][1000/3746] lr: 3.629e-02, eta: 1 day, 16:39:54, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3302, top5_acc: 0.5980, loss_cls: 5.3269, loss: 5.3269 +2024-01-01 21:42:33,952 - pyskl - INFO - Epoch [89][1100/3746] lr: 3.626e-02, eta: 1 day, 16:38:30, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3323, top5_acc: 0.6044, loss_cls: 5.3196, loss: 5.3196 +2024-01-01 21:43:33,561 - pyskl - INFO - Epoch [89][1200/3746] lr: 3.623e-02, eta: 1 day, 16:37:07, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3358, top5_acc: 0.6047, loss_cls: 5.2770, loss: 5.2770 +2024-01-01 21:44:34,267 - pyskl - INFO - Epoch [89][1300/3746] lr: 3.620e-02, eta: 1 day, 16:35:49, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3478, top5_acc: 0.6097, loss_cls: 5.2735, loss: 5.2735 +2024-01-01 21:45:34,294 - pyskl - INFO - Epoch [89][1400/3746] lr: 3.618e-02, eta: 1 day, 16:34:28, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3359, top5_acc: 0.5942, loss_cls: 5.3062, loss: 5.3062 +2024-01-01 21:46:33,947 - pyskl - INFO - Epoch [89][1500/3746] lr: 3.615e-02, eta: 1 day, 16:33:06, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3339, top5_acc: 0.6027, loss_cls: 5.2998, loss: 5.2998 +2024-01-01 21:47:33,861 - pyskl - INFO - Epoch [89][1600/3746] lr: 3.612e-02, eta: 1 day, 16:31:44, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3341, top5_acc: 0.5923, loss_cls: 5.3477, loss: 5.3477 +2024-01-01 21:48:34,185 - pyskl - INFO - Epoch [89][1700/3746] lr: 3.610e-02, eta: 1 day, 16:30:25, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3380, top5_acc: 0.5997, loss_cls: 5.3303, loss: 5.3303 +2024-01-01 21:49:34,157 - pyskl - INFO - Epoch [89][1800/3746] lr: 3.607e-02, eta: 1 day, 16:29:04, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3389, top5_acc: 0.6050, loss_cls: 5.2847, loss: 5.2847 +2024-01-01 21:50:33,873 - pyskl - INFO - Epoch [89][1900/3746] lr: 3.604e-02, eta: 1 day, 16:27:42, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3355, top5_acc: 0.5933, loss_cls: 5.3592, loss: 5.3592 +2024-01-01 21:51:33,792 - pyskl - INFO - Epoch [89][2000/3746] lr: 3.602e-02, eta: 1 day, 16:26:21, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3400, top5_acc: 0.5952, loss_cls: 5.3493, loss: 5.3493 +2024-01-01 21:52:34,133 - pyskl - INFO - Epoch [89][2100/3746] lr: 3.599e-02, eta: 1 day, 16:25:03, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3353, top5_acc: 0.5978, loss_cls: 5.3205, loss: 5.3205 +2024-01-01 21:53:33,985 - pyskl - INFO - Epoch [89][2200/3746] lr: 3.596e-02, eta: 1 day, 16:23:42, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3342, top5_acc: 0.5997, loss_cls: 5.3043, loss: 5.3043 +2024-01-01 21:54:33,410 - pyskl - INFO - Epoch [89][2300/3746] lr: 3.594e-02, eta: 1 day, 16:22:18, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3486, top5_acc: 0.6089, loss_cls: 5.2983, loss: 5.2983 +2024-01-01 21:55:32,868 - pyskl - INFO - Epoch [89][2400/3746] lr: 3.591e-02, eta: 1 day, 16:20:55, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3377, top5_acc: 0.5997, loss_cls: 5.3252, loss: 5.3252 +2024-01-01 21:56:32,379 - pyskl - INFO - Epoch [89][2500/3746] lr: 3.588e-02, eta: 1 day, 16:19:33, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3378, top5_acc: 0.5916, loss_cls: 5.3276, loss: 5.3276 +2024-01-01 21:57:31,709 - pyskl - INFO - Epoch [89][2600/3746] lr: 3.586e-02, eta: 1 day, 16:18:10, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3339, top5_acc: 0.5961, loss_cls: 5.3340, loss: 5.3340 +2024-01-01 21:58:30,901 - pyskl - INFO - Epoch [89][2700/3746] lr: 3.583e-02, eta: 1 day, 16:16:45, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3447, top5_acc: 0.6030, loss_cls: 5.3110, loss: 5.3110 +2024-01-01 21:59:30,170 - pyskl - INFO - Epoch [89][2800/3746] lr: 3.580e-02, eta: 1 day, 16:15:22, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3320, top5_acc: 0.5962, loss_cls: 5.3296, loss: 5.3296 +2024-01-01 22:00:30,026 - pyskl - INFO - Epoch [89][2900/3746] lr: 3.578e-02, eta: 1 day, 16:14:02, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3389, top5_acc: 0.6039, loss_cls: 5.3129, loss: 5.3129 +2024-01-01 22:01:29,549 - pyskl - INFO - Epoch [89][3000/3746] lr: 3.575e-02, eta: 1 day, 16:12:40, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3275, top5_acc: 0.5939, loss_cls: 5.3378, loss: 5.3378 +2024-01-01 22:02:28,973 - pyskl - INFO - Epoch [89][3100/3746] lr: 3.572e-02, eta: 1 day, 16:11:17, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3333, top5_acc: 0.6019, loss_cls: 5.3288, loss: 5.3288 +2024-01-01 22:03:28,412 - pyskl - INFO - Epoch [89][3200/3746] lr: 3.569e-02, eta: 1 day, 16:09:55, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3378, top5_acc: 0.6011, loss_cls: 5.3263, loss: 5.3263 +2024-01-01 22:04:27,973 - pyskl - INFO - Epoch [89][3300/3746] lr: 3.567e-02, eta: 1 day, 16:08:34, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3428, top5_acc: 0.6030, loss_cls: 5.2990, loss: 5.2990 +2024-01-01 22:05:27,400 - pyskl - INFO - Epoch [89][3400/3746] lr: 3.564e-02, eta: 1 day, 16:07:11, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3389, top5_acc: 0.6038, loss_cls: 5.3063, loss: 5.3063 +2024-01-01 22:06:27,133 - pyskl - INFO - Epoch [89][3500/3746] lr: 3.561e-02, eta: 1 day, 16:05:51, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3430, top5_acc: 0.6041, loss_cls: 5.3056, loss: 5.3056 +2024-01-01 22:07:27,717 - pyskl - INFO - Epoch [89][3600/3746] lr: 3.559e-02, eta: 1 day, 16:04:35, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3375, top5_acc: 0.6016, loss_cls: 5.3175, loss: 5.3175 +2024-01-01 22:08:27,665 - pyskl - INFO - Epoch [89][3700/3746] lr: 3.556e-02, eta: 1 day, 16:03:16, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3377, top5_acc: 0.5970, loss_cls: 5.3313, loss: 5.3313 +2024-01-01 22:08:57,391 - pyskl - INFO - Saving checkpoint at 89 epochs +2024-01-01 22:10:50,829 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 22:10:51,662 - pyskl - INFO - +top1_acc 0.2753 +top5_acc 0.5274 +2024-01-01 22:10:51,662 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 22:10:51,695 - pyskl - INFO - +mean_acc 0.2753 +2024-01-01 22:10:51,701 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_87.pth was removed +2024-01-01 22:10:51,929 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. +2024-01-01 22:10:51,929 - pyskl - INFO - Best top1_acc is 0.2753 at 89 epoch. +2024-01-01 22:10:51,937 - pyskl - INFO - Epoch(val) [89][309] top1_acc: 0.2753, top5_acc: 0.5274, mean_class_accuracy: 0.2753 +2024-01-01 22:14:10,684 - pyskl - INFO - Epoch [90][100/3746] lr: 3.552e-02, eta: 1 day, 16:10:44, time: 1.987, data_time: 1.390, memory: 16180, top1_acc: 0.3469, top5_acc: 0.6192, loss_cls: 5.2417, loss: 5.2417 +2024-01-01 22:15:10,024 - pyskl - INFO - Epoch [90][200/3746] lr: 3.550e-02, eta: 1 day, 16:09:21, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3516, top5_acc: 0.6183, loss_cls: 5.2261, loss: 5.2261 +2024-01-01 22:16:09,909 - pyskl - INFO - Epoch [90][300/3746] lr: 3.547e-02, eta: 1 day, 16:08:00, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3573, top5_acc: 0.6150, loss_cls: 5.2393, loss: 5.2393 +2024-01-01 22:17:09,857 - pyskl - INFO - Epoch [90][400/3746] lr: 3.544e-02, eta: 1 day, 16:06:40, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3375, top5_acc: 0.6162, loss_cls: 5.2785, loss: 5.2785 +2024-01-01 22:18:09,308 - pyskl - INFO - Epoch [90][500/3746] lr: 3.541e-02, eta: 1 day, 16:05:17, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3398, top5_acc: 0.6084, loss_cls: 5.3229, loss: 5.3229 +2024-01-01 22:19:08,751 - pyskl - INFO - Epoch [90][600/3746] lr: 3.539e-02, eta: 1 day, 16:03:55, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3447, top5_acc: 0.6170, loss_cls: 5.2522, loss: 5.2522 +2024-01-01 22:20:08,172 - pyskl - INFO - Epoch [90][700/3746] lr: 3.536e-02, eta: 1 day, 16:02:32, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3408, top5_acc: 0.6095, loss_cls: 5.3008, loss: 5.3008 +2024-01-01 22:21:07,470 - pyskl - INFO - Epoch [90][800/3746] lr: 3.533e-02, eta: 1 day, 16:01:09, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3406, top5_acc: 0.6114, loss_cls: 5.3039, loss: 5.3039 +2024-01-01 22:22:06,627 - pyskl - INFO - Epoch [90][900/3746] lr: 3.531e-02, eta: 1 day, 15:59:45, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3425, top5_acc: 0.5983, loss_cls: 5.3067, loss: 5.3067 +2024-01-01 22:23:06,275 - pyskl - INFO - Epoch [90][1000/3746] lr: 3.528e-02, eta: 1 day, 15:58:24, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3302, top5_acc: 0.5875, loss_cls: 5.3775, loss: 5.3775 +2024-01-01 22:24:05,787 - pyskl - INFO - Epoch [90][1100/3746] lr: 3.525e-02, eta: 1 day, 15:57:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3484, top5_acc: 0.6025, loss_cls: 5.3213, loss: 5.3213 +2024-01-01 22:25:05,513 - pyskl - INFO - Epoch [90][1200/3746] lr: 3.523e-02, eta: 1 day, 15:55:42, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3372, top5_acc: 0.5994, loss_cls: 5.3134, loss: 5.3134 +2024-01-01 22:26:05,093 - pyskl - INFO - Epoch [90][1300/3746] lr: 3.520e-02, eta: 1 day, 15:54:21, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3411, top5_acc: 0.6045, loss_cls: 5.3104, loss: 5.3104 +2024-01-01 22:27:04,700 - pyskl - INFO - Epoch [90][1400/3746] lr: 3.517e-02, eta: 1 day, 15:53:00, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3580, top5_acc: 0.6172, loss_cls: 5.2238, loss: 5.2238 +2024-01-01 22:28:04,106 - pyskl - INFO - Epoch [90][1500/3746] lr: 3.515e-02, eta: 1 day, 15:51:38, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3412, top5_acc: 0.5977, loss_cls: 5.2892, loss: 5.2892 +2024-01-01 22:29:03,411 - pyskl - INFO - Epoch [90][1600/3746] lr: 3.512e-02, eta: 1 day, 15:50:16, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3495, top5_acc: 0.6073, loss_cls: 5.2642, loss: 5.2642 +2024-01-01 22:30:02,634 - pyskl - INFO - Epoch [90][1700/3746] lr: 3.509e-02, eta: 1 day, 15:48:53, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3395, top5_acc: 0.6088, loss_cls: 5.2757, loss: 5.2757 +2024-01-01 22:31:01,968 - pyskl - INFO - Epoch [90][1800/3746] lr: 3.507e-02, eta: 1 day, 15:47:31, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3378, top5_acc: 0.6025, loss_cls: 5.2901, loss: 5.2901 +2024-01-01 22:32:01,347 - pyskl - INFO - Epoch [90][1900/3746] lr: 3.504e-02, eta: 1 day, 15:46:10, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3478, top5_acc: 0.6044, loss_cls: 5.2725, loss: 5.2725 +2024-01-01 22:33:00,455 - pyskl - INFO - Epoch [90][2000/3746] lr: 3.501e-02, eta: 1 day, 15:44:47, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3361, top5_acc: 0.6052, loss_cls: 5.3044, loss: 5.3044 +2024-01-01 22:34:00,136 - pyskl - INFO - Epoch [90][2100/3746] lr: 3.499e-02, eta: 1 day, 15:43:27, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3402, top5_acc: 0.6073, loss_cls: 5.2967, loss: 5.2967 +2024-01-01 22:34:59,794 - pyskl - INFO - Epoch [90][2200/3746] lr: 3.496e-02, eta: 1 day, 15:42:07, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3314, top5_acc: 0.6044, loss_cls: 5.3041, loss: 5.3041 +2024-01-01 22:35:59,444 - pyskl - INFO - Epoch [90][2300/3746] lr: 3.493e-02, eta: 1 day, 15:40:47, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3383, top5_acc: 0.5984, loss_cls: 5.3423, loss: 5.3423 +2024-01-01 22:36:59,024 - pyskl - INFO - Epoch [90][2400/3746] lr: 3.491e-02, eta: 1 day, 15:39:27, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3402, top5_acc: 0.6064, loss_cls: 5.2889, loss: 5.2889 +2024-01-01 22:37:58,092 - pyskl - INFO - Epoch [90][2500/3746] lr: 3.488e-02, eta: 1 day, 15:38:04, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3344, top5_acc: 0.5916, loss_cls: 5.3462, loss: 5.3462 +2024-01-01 22:38:57,351 - pyskl - INFO - Epoch [90][2600/3746] lr: 3.485e-02, eta: 1 day, 15:36:43, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3444, top5_acc: 0.6080, loss_cls: 5.2817, loss: 5.2817 +2024-01-01 22:39:56,769 - pyskl - INFO - Epoch [90][2700/3746] lr: 3.483e-02, eta: 1 day, 15:35:22, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3383, top5_acc: 0.5997, loss_cls: 5.3029, loss: 5.3029 +2024-01-01 22:40:56,014 - pyskl - INFO - Epoch [90][2800/3746] lr: 3.480e-02, eta: 1 day, 15:34:00, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3456, top5_acc: 0.6027, loss_cls: 5.2999, loss: 5.2999 +2024-01-01 22:41:55,242 - pyskl - INFO - Epoch [90][2900/3746] lr: 3.477e-02, eta: 1 day, 15:32:39, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3342, top5_acc: 0.6055, loss_cls: 5.3154, loss: 5.3154 +2024-01-01 22:42:54,726 - pyskl - INFO - Epoch [90][3000/3746] lr: 3.475e-02, eta: 1 day, 15:31:19, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3314, top5_acc: 0.5948, loss_cls: 5.3190, loss: 5.3190 +2024-01-01 22:43:54,302 - pyskl - INFO - Epoch [90][3100/3746] lr: 3.472e-02, eta: 1 day, 15:29:59, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3431, top5_acc: 0.6033, loss_cls: 5.3005, loss: 5.3005 +2024-01-01 22:44:54,096 - pyskl - INFO - Epoch [90][3200/3746] lr: 3.469e-02, eta: 1 day, 15:28:41, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3319, top5_acc: 0.5962, loss_cls: 5.3393, loss: 5.3393 +2024-01-01 22:45:53,939 - pyskl - INFO - Epoch [90][3300/3746] lr: 3.467e-02, eta: 1 day, 15:27:23, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3339, top5_acc: 0.6044, loss_cls: 5.3118, loss: 5.3118 +2024-01-01 22:46:53,316 - pyskl - INFO - Epoch [90][3400/3746] lr: 3.464e-02, eta: 1 day, 15:26:02, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3334, top5_acc: 0.6067, loss_cls: 5.3184, loss: 5.3184 +2024-01-01 22:47:53,155 - pyskl - INFO - Epoch [90][3500/3746] lr: 3.461e-02, eta: 1 day, 15:24:44, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3506, top5_acc: 0.6089, loss_cls: 5.2490, loss: 5.2490 +2024-01-01 22:48:53,271 - pyskl - INFO - Epoch [90][3600/3746] lr: 3.459e-02, eta: 1 day, 15:23:28, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3386, top5_acc: 0.5984, loss_cls: 5.3245, loss: 5.3245 +2024-01-01 22:49:52,982 - pyskl - INFO - Epoch [90][3700/3746] lr: 3.456e-02, eta: 1 day, 15:22:09, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3453, top5_acc: 0.6023, loss_cls: 5.2975, loss: 5.2975 +2024-01-01 22:50:23,703 - pyskl - INFO - Saving checkpoint at 90 epochs +2024-01-01 22:52:18,620 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 22:52:20,055 - pyskl - INFO - +top1_acc 0.2865 +top5_acc 0.5385 +2024-01-01 22:52:20,055 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 22:52:20,101 - pyskl - INFO - +mean_acc 0.2864 +2024-01-01 22:52:20,109 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_89.pth was removed +2024-01-01 22:52:20,421 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_90.pth. +2024-01-01 22:52:20,430 - pyskl - INFO - Best top1_acc is 0.2865 at 90 epoch. +2024-01-01 22:52:20,446 - pyskl - INFO - Epoch(val) [90][309] top1_acc: 0.2865, top5_acc: 0.5385, mean_class_accuracy: 0.2864 +2024-01-01 22:55:40,576 - pyskl - INFO - Epoch [91][100/3746] lr: 3.452e-02, eta: 1 day, 15:28:55, time: 2.001, data_time: 1.403, memory: 16180, top1_acc: 0.3556, top5_acc: 0.6252, loss_cls: 5.1842, loss: 5.1842 +2024-01-01 22:56:39,986 - pyskl - INFO - Epoch [91][200/3746] lr: 3.450e-02, eta: 1 day, 15:27:34, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3420, top5_acc: 0.6122, loss_cls: 5.2774, loss: 5.2774 +2024-01-01 22:57:39,783 - pyskl - INFO - Epoch [91][300/3746] lr: 3.447e-02, eta: 1 day, 15:26:14, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3436, top5_acc: 0.6191, loss_cls: 5.2361, loss: 5.2361 +2024-01-01 22:58:40,089 - pyskl - INFO - Epoch [91][400/3746] lr: 3.444e-02, eta: 1 day, 15:24:58, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3480, top5_acc: 0.6102, loss_cls: 5.2699, loss: 5.2699 +2024-01-01 22:59:39,748 - pyskl - INFO - Epoch [91][500/3746] lr: 3.442e-02, eta: 1 day, 15:23:38, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3380, top5_acc: 0.6044, loss_cls: 5.2942, loss: 5.2942 +2024-01-01 23:00:39,291 - pyskl - INFO - Epoch [91][600/3746] lr: 3.439e-02, eta: 1 day, 15:22:18, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3605, top5_acc: 0.6227, loss_cls: 5.2142, loss: 5.2142 +2024-01-01 23:01:38,716 - pyskl - INFO - Epoch [91][700/3746] lr: 3.436e-02, eta: 1 day, 15:20:58, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3502, top5_acc: 0.6206, loss_cls: 5.2348, loss: 5.2348 +2024-01-01 23:02:37,730 - pyskl - INFO - Epoch [91][800/3746] lr: 3.434e-02, eta: 1 day, 15:19:35, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.3478, top5_acc: 0.6255, loss_cls: 5.2264, loss: 5.2264 +2024-01-01 23:03:36,721 - pyskl - INFO - Epoch [91][900/3746] lr: 3.431e-02, eta: 1 day, 15:18:13, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.3538, top5_acc: 0.6145, loss_cls: 5.2432, loss: 5.2432 +2024-01-01 23:04:35,828 - pyskl - INFO - Epoch [91][1000/3746] lr: 3.428e-02, eta: 1 day, 15:16:51, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3428, top5_acc: 0.5961, loss_cls: 5.3104, loss: 5.3104 +2024-01-01 23:05:35,046 - pyskl - INFO - Epoch [91][1100/3746] lr: 3.426e-02, eta: 1 day, 15:15:30, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3387, top5_acc: 0.6047, loss_cls: 5.2808, loss: 5.2808 +2024-01-01 23:06:34,260 - pyskl - INFO - Epoch [91][1200/3746] lr: 3.423e-02, eta: 1 day, 15:14:09, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3402, top5_acc: 0.6052, loss_cls: 5.2841, loss: 5.2841 +2024-01-01 23:07:33,656 - pyskl - INFO - Epoch [91][1300/3746] lr: 3.420e-02, eta: 1 day, 15:12:49, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3478, top5_acc: 0.6111, loss_cls: 5.2800, loss: 5.2800 +2024-01-01 23:08:33,533 - pyskl - INFO - Epoch [91][1400/3746] lr: 3.418e-02, eta: 1 day, 15:11:31, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3481, top5_acc: 0.6098, loss_cls: 5.2426, loss: 5.2426 +2024-01-01 23:09:33,319 - pyskl - INFO - Epoch [91][1500/3746] lr: 3.415e-02, eta: 1 day, 15:10:13, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3320, top5_acc: 0.5970, loss_cls: 5.3125, loss: 5.3125 +2024-01-01 23:10:33,694 - pyskl - INFO - Epoch [91][1600/3746] lr: 3.412e-02, eta: 1 day, 15:08:58, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3508, top5_acc: 0.6048, loss_cls: 5.2609, loss: 5.2609 +2024-01-01 23:11:34,119 - pyskl - INFO - Epoch [91][1700/3746] lr: 3.410e-02, eta: 1 day, 15:07:42, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3447, top5_acc: 0.6130, loss_cls: 5.2552, loss: 5.2552 +2024-01-01 23:12:34,406 - pyskl - INFO - Epoch [91][1800/3746] lr: 3.407e-02, eta: 1 day, 15:06:27, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3361, top5_acc: 0.5966, loss_cls: 5.3130, loss: 5.3130 +2024-01-01 23:13:34,182 - pyskl - INFO - Epoch [91][1900/3746] lr: 3.405e-02, eta: 1 day, 15:05:09, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3513, top5_acc: 0.6072, loss_cls: 5.2812, loss: 5.2812 +2024-01-01 23:14:33,757 - pyskl - INFO - Epoch [91][2000/3746] lr: 3.402e-02, eta: 1 day, 15:03:50, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3456, top5_acc: 0.6036, loss_cls: 5.2935, loss: 5.2935 +2024-01-01 23:15:33,644 - pyskl - INFO - Epoch [91][2100/3746] lr: 3.399e-02, eta: 1 day, 15:02:32, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3412, top5_acc: 0.6089, loss_cls: 5.2933, loss: 5.2933 +2024-01-01 23:16:33,257 - pyskl - INFO - Epoch [91][2200/3746] lr: 3.397e-02, eta: 1 day, 15:01:14, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3477, top5_acc: 0.6033, loss_cls: 5.3048, loss: 5.3048 +2024-01-01 23:17:32,876 - pyskl - INFO - Epoch [91][2300/3746] lr: 3.394e-02, eta: 1 day, 14:59:56, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3436, top5_acc: 0.6064, loss_cls: 5.2870, loss: 5.2870 +2024-01-01 23:18:32,266 - pyskl - INFO - Epoch [91][2400/3746] lr: 3.391e-02, eta: 1 day, 14:58:36, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3359, top5_acc: 0.6000, loss_cls: 5.3026, loss: 5.3026 +2024-01-01 23:19:32,151 - pyskl - INFO - Epoch [91][2500/3746] lr: 3.389e-02, eta: 1 day, 14:57:19, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3419, top5_acc: 0.6073, loss_cls: 5.2873, loss: 5.2873 +2024-01-01 23:20:32,528 - pyskl - INFO - Epoch [91][2600/3746] lr: 3.386e-02, eta: 1 day, 14:56:04, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3381, top5_acc: 0.6050, loss_cls: 5.2966, loss: 5.2966 +2024-01-01 23:21:32,300 - pyskl - INFO - Epoch [91][2700/3746] lr: 3.383e-02, eta: 1 day, 14:54:47, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3366, top5_acc: 0.6070, loss_cls: 5.2899, loss: 5.2899 +2024-01-01 23:22:31,910 - pyskl - INFO - Epoch [91][2800/3746] lr: 3.381e-02, eta: 1 day, 14:53:29, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3406, top5_acc: 0.6059, loss_cls: 5.2918, loss: 5.2918 +2024-01-01 23:23:31,539 - pyskl - INFO - Epoch [91][2900/3746] lr: 3.378e-02, eta: 1 day, 14:52:11, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3345, top5_acc: 0.5986, loss_cls: 5.3332, loss: 5.3332 +2024-01-01 23:24:31,023 - pyskl - INFO - Epoch [91][3000/3746] lr: 3.375e-02, eta: 1 day, 14:50:52, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3387, top5_acc: 0.6030, loss_cls: 5.3013, loss: 5.3013 +2024-01-01 23:25:30,507 - pyskl - INFO - Epoch [91][3100/3746] lr: 3.373e-02, eta: 1 day, 14:49:34, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3527, top5_acc: 0.6120, loss_cls: 5.2600, loss: 5.2600 +2024-01-01 23:26:29,841 - pyskl - INFO - Epoch [91][3200/3746] lr: 3.370e-02, eta: 1 day, 14:48:15, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3359, top5_acc: 0.6064, loss_cls: 5.2718, loss: 5.2718 +2024-01-01 23:27:29,222 - pyskl - INFO - Epoch [91][3300/3746] lr: 3.367e-02, eta: 1 day, 14:46:56, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3488, top5_acc: 0.6027, loss_cls: 5.2997, loss: 5.2997 +2024-01-01 23:28:28,786 - pyskl - INFO - Epoch [91][3400/3746] lr: 3.365e-02, eta: 1 day, 14:45:38, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3398, top5_acc: 0.6091, loss_cls: 5.2871, loss: 5.2871 +2024-01-01 23:29:28,680 - pyskl - INFO - Epoch [91][3500/3746] lr: 3.362e-02, eta: 1 day, 14:44:22, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3405, top5_acc: 0.6014, loss_cls: 5.3103, loss: 5.3103 +2024-01-01 23:30:28,945 - pyskl - INFO - Epoch [91][3600/3746] lr: 3.360e-02, eta: 1 day, 14:43:07, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3441, top5_acc: 0.6002, loss_cls: 5.3008, loss: 5.3008 +2024-01-01 23:31:28,980 - pyskl - INFO - Epoch [91][3700/3746] lr: 3.357e-02, eta: 1 day, 14:41:52, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3425, top5_acc: 0.6027, loss_cls: 5.3102, loss: 5.3102 +2024-01-01 23:31:59,183 - pyskl - INFO - Saving checkpoint at 91 epochs +2024-01-01 23:33:54,822 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 23:33:55,665 - pyskl - INFO - +top1_acc 0.2814 +top5_acc 0.5336 +2024-01-01 23:33:55,665 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 23:33:55,699 - pyskl - INFO - +mean_acc 0.2810 +2024-01-01 23:33:55,708 - pyskl - INFO - Epoch(val) [91][309] top1_acc: 0.2814, top5_acc: 0.5336, mean_class_accuracy: 0.2810 +2024-01-01 23:37:19,955 - pyskl - INFO - Epoch [92][100/3746] lr: 3.353e-02, eta: 1 day, 14:48:12, time: 2.042, data_time: 1.446, memory: 16180, top1_acc: 0.3528, top5_acc: 0.6192, loss_cls: 5.2173, loss: 5.2173 +2024-01-01 23:38:19,680 - pyskl - INFO - Epoch [92][200/3746] lr: 3.350e-02, eta: 1 day, 14:46:54, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3559, top5_acc: 0.6208, loss_cls: 5.2101, loss: 5.2101 +2024-01-01 23:39:19,512 - pyskl - INFO - Epoch [92][300/3746] lr: 3.348e-02, eta: 1 day, 14:45:36, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3527, top5_acc: 0.6188, loss_cls: 5.2310, loss: 5.2310 +2024-01-01 23:40:19,521 - pyskl - INFO - Epoch [92][400/3746] lr: 3.345e-02, eta: 1 day, 14:44:20, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3439, top5_acc: 0.6161, loss_cls: 5.2455, loss: 5.2455 +2024-01-01 23:41:20,269 - pyskl - INFO - Epoch [92][500/3746] lr: 3.342e-02, eta: 1 day, 14:43:06, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3389, top5_acc: 0.6061, loss_cls: 5.2642, loss: 5.2642 +2024-01-01 23:42:19,396 - pyskl - INFO - Epoch [92][600/3746] lr: 3.340e-02, eta: 1 day, 14:41:46, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3477, top5_acc: 0.6108, loss_cls: 5.2496, loss: 5.2496 +2024-01-01 23:43:18,829 - pyskl - INFO - Epoch [92][700/3746] lr: 3.337e-02, eta: 1 day, 14:40:27, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3570, top5_acc: 0.6208, loss_cls: 5.2246, loss: 5.2246 +2024-01-01 23:44:18,369 - pyskl - INFO - Epoch [92][800/3746] lr: 3.335e-02, eta: 1 day, 14:39:09, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3402, top5_acc: 0.6061, loss_cls: 5.2637, loss: 5.2637 +2024-01-01 23:45:17,571 - pyskl - INFO - Epoch [92][900/3746] lr: 3.332e-02, eta: 1 day, 14:37:49, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3578, top5_acc: 0.6208, loss_cls: 5.2262, loss: 5.2262 +2024-01-01 23:46:16,812 - pyskl - INFO - Epoch [92][1000/3746] lr: 3.329e-02, eta: 1 day, 14:36:30, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3481, top5_acc: 0.6084, loss_cls: 5.2675, loss: 5.2675 +2024-01-01 23:47:16,366 - pyskl - INFO - Epoch [92][1100/3746] lr: 3.327e-02, eta: 1 day, 14:35:12, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3505, top5_acc: 0.6162, loss_cls: 5.2470, loss: 5.2470 +2024-01-01 23:48:15,685 - pyskl - INFO - Epoch [92][1200/3746] lr: 3.324e-02, eta: 1 day, 14:33:53, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3408, top5_acc: 0.6097, loss_cls: 5.2637, loss: 5.2637 +2024-01-01 23:49:15,074 - pyskl - INFO - Epoch [92][1300/3746] lr: 3.321e-02, eta: 1 day, 14:32:34, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3609, top5_acc: 0.6139, loss_cls: 5.2463, loss: 5.2463 +2024-01-01 23:50:14,703 - pyskl - INFO - Epoch [92][1400/3746] lr: 3.319e-02, eta: 1 day, 14:31:17, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3525, top5_acc: 0.6164, loss_cls: 5.2367, loss: 5.2367 +2024-01-01 23:51:14,255 - pyskl - INFO - Epoch [92][1500/3746] lr: 3.316e-02, eta: 1 day, 14:29:59, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3398, top5_acc: 0.6002, loss_cls: 5.3069, loss: 5.3069 +2024-01-01 23:52:13,428 - pyskl - INFO - Epoch [92][1600/3746] lr: 3.314e-02, eta: 1 day, 14:28:40, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3480, top5_acc: 0.6025, loss_cls: 5.2759, loss: 5.2759 +2024-01-01 23:53:13,296 - pyskl - INFO - Epoch [92][1700/3746] lr: 3.311e-02, eta: 1 day, 14:27:23, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3381, top5_acc: 0.6050, loss_cls: 5.2877, loss: 5.2877 +2024-01-01 23:54:12,856 - pyskl - INFO - Epoch [92][1800/3746] lr: 3.308e-02, eta: 1 day, 14:26:06, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3517, top5_acc: 0.6164, loss_cls: 5.2291, loss: 5.2291 +2024-01-01 23:55:12,253 - pyskl - INFO - Epoch [92][1900/3746] lr: 3.306e-02, eta: 1 day, 14:24:48, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3377, top5_acc: 0.6122, loss_cls: 5.2961, loss: 5.2961 +2024-01-01 23:56:11,783 - pyskl - INFO - Epoch [92][2000/3746] lr: 3.303e-02, eta: 1 day, 14:23:30, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3441, top5_acc: 0.6112, loss_cls: 5.2698, loss: 5.2698 +2024-01-01 23:57:11,312 - pyskl - INFO - Epoch [92][2100/3746] lr: 3.300e-02, eta: 1 day, 14:22:13, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3516, top5_acc: 0.6114, loss_cls: 5.2701, loss: 5.2701 +2024-01-01 23:58:10,750 - pyskl - INFO - Epoch [92][2200/3746] lr: 3.298e-02, eta: 1 day, 14:20:55, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3464, top5_acc: 0.6056, loss_cls: 5.2972, loss: 5.2972 +2024-01-01 23:59:10,329 - pyskl - INFO - Epoch [92][2300/3746] lr: 3.295e-02, eta: 1 day, 14:19:38, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3423, top5_acc: 0.6028, loss_cls: 5.3185, loss: 5.3185 +2024-01-02 00:00:09,831 - pyskl - INFO - Epoch [92][2400/3746] lr: 3.292e-02, eta: 1 day, 14:18:20, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3473, top5_acc: 0.6083, loss_cls: 5.2950, loss: 5.2950 +2024-01-02 00:01:09,312 - pyskl - INFO - Epoch [92][2500/3746] lr: 3.290e-02, eta: 1 day, 14:17:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3416, top5_acc: 0.6048, loss_cls: 5.3051, loss: 5.3051 +2024-01-02 00:02:08,724 - pyskl - INFO - Epoch [92][2600/3746] lr: 3.287e-02, eta: 1 day, 14:15:45, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3561, top5_acc: 0.6044, loss_cls: 5.2510, loss: 5.2510 +2024-01-02 00:03:08,266 - pyskl - INFO - Epoch [92][2700/3746] lr: 3.285e-02, eta: 1 day, 14:14:28, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3469, top5_acc: 0.6055, loss_cls: 5.2616, loss: 5.2616 +2024-01-02 00:04:07,757 - pyskl - INFO - Epoch [92][2800/3746] lr: 3.282e-02, eta: 1 day, 14:13:11, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3480, top5_acc: 0.6203, loss_cls: 5.2590, loss: 5.2590 +2024-01-02 00:05:08,556 - pyskl - INFO - Epoch [92][2900/3746] lr: 3.279e-02, eta: 1 day, 14:11:59, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3455, top5_acc: 0.6081, loss_cls: 5.2627, loss: 5.2627 +2024-01-02 00:06:08,430 - pyskl - INFO - Epoch [92][3000/3746] lr: 3.277e-02, eta: 1 day, 14:10:44, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3473, top5_acc: 0.6100, loss_cls: 5.2583, loss: 5.2583 +2024-01-02 00:07:09,027 - pyskl - INFO - Epoch [92][3100/3746] lr: 3.274e-02, eta: 1 day, 14:09:31, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3423, top5_acc: 0.6069, loss_cls: 5.2696, loss: 5.2696 +2024-01-02 00:08:09,303 - pyskl - INFO - Epoch [92][3200/3746] lr: 3.271e-02, eta: 1 day, 14:08:17, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3438, top5_acc: 0.6120, loss_cls: 5.2900, loss: 5.2900 +2024-01-02 00:09:09,769 - pyskl - INFO - Epoch [92][3300/3746] lr: 3.269e-02, eta: 1 day, 14:07:04, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3425, top5_acc: 0.6073, loss_cls: 5.2807, loss: 5.2807 +2024-01-02 00:10:09,735 - pyskl - INFO - Epoch [92][3400/3746] lr: 3.266e-02, eta: 1 day, 14:05:49, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3331, top5_acc: 0.6055, loss_cls: 5.3029, loss: 5.3029 +2024-01-02 00:11:09,583 - pyskl - INFO - Epoch [92][3500/3746] lr: 3.264e-02, eta: 1 day, 14:04:34, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3470, top5_acc: 0.6016, loss_cls: 5.2755, loss: 5.2755 +2024-01-02 00:12:10,399 - pyskl - INFO - Epoch [92][3600/3746] lr: 3.261e-02, eta: 1 day, 14:03:22, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3422, top5_acc: 0.5989, loss_cls: 5.2830, loss: 5.2830 +2024-01-02 00:13:10,363 - pyskl - INFO - Epoch [92][3700/3746] lr: 3.258e-02, eta: 1 day, 14:02:07, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3591, top5_acc: 0.6175, loss_cls: 5.2278, loss: 5.2278 +2024-01-02 00:13:40,856 - pyskl - INFO - Saving checkpoint at 92 epochs +2024-01-02 00:15:34,995 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 00:15:35,839 - pyskl - INFO - +top1_acc 0.2920 +top5_acc 0.5469 +2024-01-02 00:15:35,839 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 00:15:35,872 - pyskl - INFO - +mean_acc 0.2918 +2024-01-02 00:15:35,877 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_90.pth was removed +2024-01-02 00:15:36,111 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_92.pth. +2024-01-02 00:15:36,112 - pyskl - INFO - Best top1_acc is 0.2920 at 92 epoch. +2024-01-02 00:15:36,120 - pyskl - INFO - Epoch(val) [92][309] top1_acc: 0.2920, top5_acc: 0.5469, mean_class_accuracy: 0.2918 +2024-01-02 00:18:53,667 - pyskl - INFO - Epoch [93][100/3746] lr: 3.255e-02, eta: 1 day, 14:07:22, time: 1.975, data_time: 1.382, memory: 16180, top1_acc: 0.3559, top5_acc: 0.6255, loss_cls: 5.2158, loss: 5.2158 +2024-01-02 00:19:53,025 - pyskl - INFO - Epoch [93][200/3746] lr: 3.252e-02, eta: 1 day, 14:06:04, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3584, top5_acc: 0.6186, loss_cls: 5.2217, loss: 5.2217 +2024-01-02 00:20:52,159 - pyskl - INFO - Epoch [93][300/3746] lr: 3.249e-02, eta: 1 day, 14:04:46, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3472, top5_acc: 0.6173, loss_cls: 5.2239, loss: 5.2239 +2024-01-02 00:21:51,688 - pyskl - INFO - Epoch [93][400/3746] lr: 3.247e-02, eta: 1 day, 14:03:29, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3538, top5_acc: 0.6192, loss_cls: 5.2134, loss: 5.2134 +2024-01-02 00:22:51,940 - pyskl - INFO - Epoch [93][500/3746] lr: 3.244e-02, eta: 1 day, 14:02:14, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3458, top5_acc: 0.6153, loss_cls: 5.2470, loss: 5.2470 +2024-01-02 00:23:51,474 - pyskl - INFO - Epoch [93][600/3746] lr: 3.241e-02, eta: 1 day, 14:00:57, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3580, top5_acc: 0.6159, loss_cls: 5.2249, loss: 5.2249 +2024-01-02 00:24:51,283 - pyskl - INFO - Epoch [93][700/3746] lr: 3.239e-02, eta: 1 day, 13:59:41, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3461, top5_acc: 0.6122, loss_cls: 5.2495, loss: 5.2495 +2024-01-02 00:25:50,762 - pyskl - INFO - Epoch [93][800/3746] lr: 3.236e-02, eta: 1 day, 13:58:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3500, top5_acc: 0.6189, loss_cls: 5.2317, loss: 5.2317 +2024-01-02 00:26:49,978 - pyskl - INFO - Epoch [93][900/3746] lr: 3.234e-02, eta: 1 day, 13:57:06, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3600, top5_acc: 0.6244, loss_cls: 5.1714, loss: 5.1714 +2024-01-02 00:27:49,264 - pyskl - INFO - Epoch [93][1000/3746] lr: 3.231e-02, eta: 1 day, 13:55:48, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3412, top5_acc: 0.6084, loss_cls: 5.2705, loss: 5.2705 +2024-01-02 00:28:48,478 - pyskl - INFO - Epoch [93][1100/3746] lr: 3.228e-02, eta: 1 day, 13:54:30, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3423, top5_acc: 0.6028, loss_cls: 5.2913, loss: 5.2913 +2024-01-02 00:29:47,841 - pyskl - INFO - Epoch [93][1200/3746] lr: 3.226e-02, eta: 1 day, 13:53:13, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3420, top5_acc: 0.6075, loss_cls: 5.2845, loss: 5.2845 +2024-01-02 00:30:47,200 - pyskl - INFO - Epoch [93][1300/3746] lr: 3.223e-02, eta: 1 day, 13:51:56, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3586, top5_acc: 0.6109, loss_cls: 5.2385, loss: 5.2385 +2024-01-02 00:31:46,899 - pyskl - INFO - Epoch [93][1400/3746] lr: 3.221e-02, eta: 1 day, 13:50:40, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3638, top5_acc: 0.6147, loss_cls: 5.2111, loss: 5.2111 +2024-01-02 00:32:46,474 - pyskl - INFO - Epoch [93][1500/3746] lr: 3.218e-02, eta: 1 day, 13:49:23, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3531, top5_acc: 0.6181, loss_cls: 5.2226, loss: 5.2226 +2024-01-02 00:33:46,212 - pyskl - INFO - Epoch [93][1600/3746] lr: 3.215e-02, eta: 1 day, 13:48:08, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3392, top5_acc: 0.6131, loss_cls: 5.2589, loss: 5.2589 +2024-01-02 00:34:45,878 - pyskl - INFO - Epoch [93][1700/3746] lr: 3.213e-02, eta: 1 day, 13:46:52, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3519, top5_acc: 0.6136, loss_cls: 5.2522, loss: 5.2522 +2024-01-02 00:35:45,764 - pyskl - INFO - Epoch [93][1800/3746] lr: 3.210e-02, eta: 1 day, 13:45:37, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3494, top5_acc: 0.6208, loss_cls: 5.2466, loss: 5.2466 +2024-01-02 00:36:46,018 - pyskl - INFO - Epoch [93][1900/3746] lr: 3.207e-02, eta: 1 day, 13:44:23, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3513, top5_acc: 0.6219, loss_cls: 5.2181, loss: 5.2181 +2024-01-02 00:37:46,438 - pyskl - INFO - Epoch [93][2000/3746] lr: 3.205e-02, eta: 1 day, 13:43:10, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3434, top5_acc: 0.6123, loss_cls: 5.2667, loss: 5.2667 +2024-01-02 00:38:46,172 - pyskl - INFO - Epoch [93][2100/3746] lr: 3.202e-02, eta: 1 day, 13:41:55, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3470, top5_acc: 0.6209, loss_cls: 5.2344, loss: 5.2344 +2024-01-02 00:39:46,092 - pyskl - INFO - Epoch [93][2200/3746] lr: 3.200e-02, eta: 1 day, 13:40:40, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3425, top5_acc: 0.5970, loss_cls: 5.3025, loss: 5.3025 +2024-01-02 00:40:45,685 - pyskl - INFO - Epoch [93][2300/3746] lr: 3.197e-02, eta: 1 day, 13:39:24, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3445, top5_acc: 0.6095, loss_cls: 5.2588, loss: 5.2588 +2024-01-02 00:41:45,147 - pyskl - INFO - Epoch [93][2400/3746] lr: 3.194e-02, eta: 1 day, 13:38:08, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3419, top5_acc: 0.6000, loss_cls: 5.3199, loss: 5.3199 +2024-01-02 00:42:44,631 - pyskl - INFO - Epoch [93][2500/3746] lr: 3.192e-02, eta: 1 day, 13:36:52, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3459, top5_acc: 0.6144, loss_cls: 5.2465, loss: 5.2465 +2024-01-02 00:43:44,020 - pyskl - INFO - Epoch [93][2600/3746] lr: 3.189e-02, eta: 1 day, 13:35:35, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3517, top5_acc: 0.6164, loss_cls: 5.2229, loss: 5.2229 +2024-01-02 00:44:43,379 - pyskl - INFO - Epoch [93][2700/3746] lr: 3.187e-02, eta: 1 day, 13:34:19, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3408, top5_acc: 0.6020, loss_cls: 5.2898, loss: 5.2898 +2024-01-02 00:45:42,755 - pyskl - INFO - Epoch [93][2800/3746] lr: 3.184e-02, eta: 1 day, 13:33:03, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3508, top5_acc: 0.6058, loss_cls: 5.2582, loss: 5.2582 +2024-01-02 00:46:41,950 - pyskl - INFO - Epoch [93][2900/3746] lr: 3.181e-02, eta: 1 day, 13:31:46, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3522, top5_acc: 0.6173, loss_cls: 5.2187, loss: 5.2187 +2024-01-02 00:47:41,404 - pyskl - INFO - Epoch [93][3000/3746] lr: 3.179e-02, eta: 1 day, 13:30:30, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3559, top5_acc: 0.6153, loss_cls: 5.2307, loss: 5.2307 +2024-01-02 00:48:41,160 - pyskl - INFO - Epoch [93][3100/3746] lr: 3.176e-02, eta: 1 day, 13:29:15, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3527, top5_acc: 0.6155, loss_cls: 5.2137, loss: 5.2137 +2024-01-02 00:49:40,672 - pyskl - INFO - Epoch [93][3200/3746] lr: 3.174e-02, eta: 1 day, 13:27:59, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3489, top5_acc: 0.6198, loss_cls: 5.2510, loss: 5.2510 +2024-01-02 00:50:40,362 - pyskl - INFO - Epoch [93][3300/3746] lr: 3.171e-02, eta: 1 day, 13:26:44, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3428, top5_acc: 0.6066, loss_cls: 5.2846, loss: 5.2846 +2024-01-02 00:51:40,180 - pyskl - INFO - Epoch [93][3400/3746] lr: 3.168e-02, eta: 1 day, 13:25:30, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3511, top5_acc: 0.6134, loss_cls: 5.2660, loss: 5.2660 +2024-01-02 00:52:40,338 - pyskl - INFO - Epoch [93][3500/3746] lr: 3.166e-02, eta: 1 day, 13:24:17, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3436, top5_acc: 0.5995, loss_cls: 5.2859, loss: 5.2859 +2024-01-02 00:53:40,505 - pyskl - INFO - Epoch [93][3600/3746] lr: 3.163e-02, eta: 1 day, 13:23:04, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3402, top5_acc: 0.6042, loss_cls: 5.3117, loss: 5.3117 +2024-01-02 00:54:41,324 - pyskl - INFO - Epoch [93][3700/3746] lr: 3.161e-02, eta: 1 day, 13:21:53, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3433, top5_acc: 0.6036, loss_cls: 5.2874, loss: 5.2874 +2024-01-02 00:55:12,182 - pyskl - INFO - Saving checkpoint at 93 epochs +2024-01-02 00:57:08,698 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 00:57:09,547 - pyskl - INFO - +top1_acc 0.2807 +top5_acc 0.5356 +2024-01-02 00:57:09,547 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 00:57:09,581 - pyskl - INFO - +mean_acc 0.2806 +2024-01-02 00:57:09,589 - pyskl - INFO - Epoch(val) [93][309] top1_acc: 0.2807, top5_acc: 0.5356, mean_class_accuracy: 0.2806 +2024-01-02 01:00:26,657 - pyskl - INFO - Epoch [94][100/3746] lr: 3.157e-02, eta: 1 day, 13:26:35, time: 1.971, data_time: 1.380, memory: 16180, top1_acc: 0.3638, top5_acc: 0.6341, loss_cls: 5.1738, loss: 5.1738 +2024-01-02 01:01:25,984 - pyskl - INFO - Epoch [94][200/3746] lr: 3.154e-02, eta: 1 day, 13:25:18, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3539, top5_acc: 0.6197, loss_cls: 5.2064, loss: 5.2064 +2024-01-02 01:02:25,268 - pyskl - INFO - Epoch [94][300/3746] lr: 3.152e-02, eta: 1 day, 13:24:01, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3498, top5_acc: 0.6114, loss_cls: 5.2493, loss: 5.2493 +2024-01-02 01:03:25,677 - pyskl - INFO - Epoch [94][400/3746] lr: 3.149e-02, eta: 1 day, 13:22:48, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3636, top5_acc: 0.6230, loss_cls: 5.1802, loss: 5.1802 +2024-01-02 01:04:26,491 - pyskl - INFO - Epoch [94][500/3746] lr: 3.146e-02, eta: 1 day, 13:21:37, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3475, top5_acc: 0.6178, loss_cls: 5.2463, loss: 5.2463 +2024-01-02 01:05:26,595 - pyskl - INFO - Epoch [94][600/3746] lr: 3.144e-02, eta: 1 day, 13:20:23, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3666, top5_acc: 0.6227, loss_cls: 5.1691, loss: 5.1691 +2024-01-02 01:06:26,181 - pyskl - INFO - Epoch [94][700/3746] lr: 3.141e-02, eta: 1 day, 13:19:07, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3556, top5_acc: 0.6239, loss_cls: 5.2119, loss: 5.2119 +2024-01-02 01:07:25,518 - pyskl - INFO - Epoch [94][800/3746] lr: 3.139e-02, eta: 1 day, 13:17:51, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3544, top5_acc: 0.6164, loss_cls: 5.2483, loss: 5.2483 +2024-01-02 01:08:25,014 - pyskl - INFO - Epoch [94][900/3746] lr: 3.136e-02, eta: 1 day, 13:16:35, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3473, top5_acc: 0.6220, loss_cls: 5.2032, loss: 5.2032 +2024-01-02 01:09:24,314 - pyskl - INFO - Epoch [94][1000/3746] lr: 3.133e-02, eta: 1 day, 13:15:19, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3555, top5_acc: 0.6127, loss_cls: 5.2503, loss: 5.2503 +2024-01-02 01:10:23,605 - pyskl - INFO - Epoch [94][1100/3746] lr: 3.131e-02, eta: 1 day, 13:14:02, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3542, top5_acc: 0.6148, loss_cls: 5.2385, loss: 5.2385 +2024-01-02 01:11:23,074 - pyskl - INFO - Epoch [94][1200/3746] lr: 3.128e-02, eta: 1 day, 13:12:47, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3572, top5_acc: 0.6189, loss_cls: 5.2237, loss: 5.2237 +2024-01-02 01:12:22,553 - pyskl - INFO - Epoch [94][1300/3746] lr: 3.126e-02, eta: 1 day, 13:11:31, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3577, top5_acc: 0.6156, loss_cls: 5.2081, loss: 5.2081 +2024-01-02 01:13:21,901 - pyskl - INFO - Epoch [94][1400/3746] lr: 3.123e-02, eta: 1 day, 13:10:15, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3542, top5_acc: 0.6212, loss_cls: 5.2141, loss: 5.2141 +2024-01-02 01:14:21,509 - pyskl - INFO - Epoch [94][1500/3746] lr: 3.120e-02, eta: 1 day, 13:09:00, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3464, top5_acc: 0.6112, loss_cls: 5.2431, loss: 5.2431 +2024-01-02 01:15:21,270 - pyskl - INFO - Epoch [94][1600/3746] lr: 3.118e-02, eta: 1 day, 13:07:45, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3447, top5_acc: 0.6098, loss_cls: 5.2763, loss: 5.2763 +2024-01-02 01:16:20,844 - pyskl - INFO - Epoch [94][1700/3746] lr: 3.115e-02, eta: 1 day, 13:06:30, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3508, top5_acc: 0.6100, loss_cls: 5.2620, loss: 5.2620 +2024-01-02 01:17:20,468 - pyskl - INFO - Epoch [94][1800/3746] lr: 3.113e-02, eta: 1 day, 13:05:15, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3472, top5_acc: 0.6302, loss_cls: 5.2040, loss: 5.2040 +2024-01-02 01:18:20,040 - pyskl - INFO - Epoch [94][1900/3746] lr: 3.110e-02, eta: 1 day, 13:04:00, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3580, top5_acc: 0.6162, loss_cls: 5.2254, loss: 5.2254 +2024-01-02 01:19:19,958 - pyskl - INFO - Epoch [94][2000/3746] lr: 3.108e-02, eta: 1 day, 13:02:47, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3488, top5_acc: 0.6000, loss_cls: 5.2965, loss: 5.2965 +2024-01-02 01:20:19,412 - pyskl - INFO - Epoch [94][2100/3746] lr: 3.105e-02, eta: 1 day, 13:01:31, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3522, top5_acc: 0.6117, loss_cls: 5.2472, loss: 5.2472 +2024-01-02 01:21:18,974 - pyskl - INFO - Epoch [94][2200/3746] lr: 3.102e-02, eta: 1 day, 13:00:16, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3489, top5_acc: 0.6106, loss_cls: 5.2669, loss: 5.2669 +2024-01-02 01:22:19,397 - pyskl - INFO - Epoch [94][2300/3746] lr: 3.100e-02, eta: 1 day, 12:59:04, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3569, top5_acc: 0.6123, loss_cls: 5.2190, loss: 5.2190 +2024-01-02 01:23:18,912 - pyskl - INFO - Epoch [94][2400/3746] lr: 3.097e-02, eta: 1 day, 12:57:49, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3386, top5_acc: 0.5939, loss_cls: 5.3299, loss: 5.3299 +2024-01-02 01:24:18,483 - pyskl - INFO - Epoch [94][2500/3746] lr: 3.095e-02, eta: 1 day, 12:56:35, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3489, top5_acc: 0.6128, loss_cls: 5.2550, loss: 5.2550 +2024-01-02 01:25:17,951 - pyskl - INFO - Epoch [94][2600/3746] lr: 3.092e-02, eta: 1 day, 12:55:20, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3466, top5_acc: 0.6167, loss_cls: 5.2472, loss: 5.2472 +2024-01-02 01:26:17,465 - pyskl - INFO - Epoch [94][2700/3746] lr: 3.089e-02, eta: 1 day, 12:54:05, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3520, top5_acc: 0.6047, loss_cls: 5.2664, loss: 5.2664 +2024-01-02 01:27:17,082 - pyskl - INFO - Epoch [94][2800/3746] lr: 3.087e-02, eta: 1 day, 12:52:50, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3473, top5_acc: 0.6159, loss_cls: 5.2486, loss: 5.2486 +2024-01-02 01:28:17,498 - pyskl - INFO - Epoch [94][2900/3746] lr: 3.084e-02, eta: 1 day, 12:51:39, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3561, top5_acc: 0.6277, loss_cls: 5.1844, loss: 5.1844 +2024-01-02 01:29:17,401 - pyskl - INFO - Epoch [94][3000/3746] lr: 3.082e-02, eta: 1 day, 12:50:25, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3464, top5_acc: 0.6150, loss_cls: 5.2375, loss: 5.2375 +2024-01-02 01:30:18,115 - pyskl - INFO - Epoch [94][3100/3746] lr: 3.079e-02, eta: 1 day, 12:49:15, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3492, top5_acc: 0.6136, loss_cls: 5.2377, loss: 5.2377 +2024-01-02 01:31:18,199 - pyskl - INFO - Epoch [94][3200/3746] lr: 3.077e-02, eta: 1 day, 12:48:02, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3498, top5_acc: 0.6228, loss_cls: 5.2049, loss: 5.2049 +2024-01-02 01:32:17,797 - pyskl - INFO - Epoch [94][3300/3746] lr: 3.074e-02, eta: 1 day, 12:46:48, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3425, top5_acc: 0.6102, loss_cls: 5.2537, loss: 5.2537 +2024-01-02 01:33:17,957 - pyskl - INFO - Epoch [94][3400/3746] lr: 3.071e-02, eta: 1 day, 12:45:35, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3458, top5_acc: 0.6177, loss_cls: 5.2307, loss: 5.2307 +2024-01-02 01:34:18,452 - pyskl - INFO - Epoch [94][3500/3746] lr: 3.069e-02, eta: 1 day, 12:44:24, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3386, top5_acc: 0.6089, loss_cls: 5.2726, loss: 5.2726 +2024-01-02 01:35:18,295 - pyskl - INFO - Epoch [94][3600/3746] lr: 3.066e-02, eta: 1 day, 12:43:11, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3538, top5_acc: 0.6211, loss_cls: 5.2054, loss: 5.2054 +2024-01-02 01:36:18,391 - pyskl - INFO - Epoch [94][3700/3746] lr: 3.064e-02, eta: 1 day, 12:41:58, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3556, top5_acc: 0.6130, loss_cls: 5.2509, loss: 5.2509 +2024-01-02 01:36:48,959 - pyskl - INFO - Saving checkpoint at 94 epochs +2024-01-02 01:38:48,861 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 01:38:49,667 - pyskl - INFO - +top1_acc 0.2863 +top5_acc 0.5439 +2024-01-02 01:38:49,667 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 01:38:49,707 - pyskl - INFO - +mean_acc 0.2862 +2024-01-02 01:38:49,717 - pyskl - INFO - Epoch(val) [94][309] top1_acc: 0.2863, top5_acc: 0.5439, mean_class_accuracy: 0.2862 +2024-01-02 01:42:09,381 - pyskl - INFO - Epoch [95][100/3746] lr: 3.060e-02, eta: 1 day, 12:46:21, time: 1.997, data_time: 1.399, memory: 16180, top1_acc: 0.3734, top5_acc: 0.6344, loss_cls: 5.1405, loss: 5.1405 +2024-01-02 01:43:08,550 - pyskl - INFO - Epoch [95][200/3746] lr: 3.057e-02, eta: 1 day, 12:45:04, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3591, top5_acc: 0.6259, loss_cls: 5.1789, loss: 5.1789 +2024-01-02 01:44:08,027 - pyskl - INFO - Epoch [95][300/3746] lr: 3.055e-02, eta: 1 day, 12:43:49, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3688, top5_acc: 0.6327, loss_cls: 5.1447, loss: 5.1447 +2024-01-02 01:45:07,581 - pyskl - INFO - Epoch [95][400/3746] lr: 3.052e-02, eta: 1 day, 12:42:35, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3628, top5_acc: 0.6247, loss_cls: 5.1911, loss: 5.1911 +2024-01-02 01:46:07,601 - pyskl - INFO - Epoch [95][500/3746] lr: 3.050e-02, eta: 1 day, 12:41:21, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3598, top5_acc: 0.6209, loss_cls: 5.1863, loss: 5.1863 +2024-01-02 01:47:08,097 - pyskl - INFO - Epoch [95][600/3746] lr: 3.047e-02, eta: 1 day, 12:40:10, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3531, top5_acc: 0.6211, loss_cls: 5.1891, loss: 5.1891 +2024-01-02 01:48:07,722 - pyskl - INFO - Epoch [95][700/3746] lr: 3.044e-02, eta: 1 day, 12:38:55, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3617, top5_acc: 0.6259, loss_cls: 5.1817, loss: 5.1817 +2024-01-02 01:49:07,413 - pyskl - INFO - Epoch [95][800/3746] lr: 3.042e-02, eta: 1 day, 12:37:41, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3639, top5_acc: 0.6317, loss_cls: 5.1533, loss: 5.1533 +2024-01-02 01:50:07,327 - pyskl - INFO - Epoch [95][900/3746] lr: 3.039e-02, eta: 1 day, 12:36:28, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3631, top5_acc: 0.6270, loss_cls: 5.1821, loss: 5.1821 +2024-01-02 01:51:06,669 - pyskl - INFO - Epoch [95][1000/3746] lr: 3.037e-02, eta: 1 day, 12:35:13, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3567, top5_acc: 0.6141, loss_cls: 5.2310, loss: 5.2310 +2024-01-02 01:52:06,057 - pyskl - INFO - Epoch [95][1100/3746] lr: 3.034e-02, eta: 1 day, 12:33:58, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3522, top5_acc: 0.6195, loss_cls: 5.2037, loss: 5.2037 +2024-01-02 01:53:05,749 - pyskl - INFO - Epoch [95][1200/3746] lr: 3.032e-02, eta: 1 day, 12:32:44, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3514, top5_acc: 0.6056, loss_cls: 5.2577, loss: 5.2577 +2024-01-02 01:54:05,487 - pyskl - INFO - Epoch [95][1300/3746] lr: 3.029e-02, eta: 1 day, 12:31:30, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3473, top5_acc: 0.6064, loss_cls: 5.2529, loss: 5.2529 +2024-01-02 01:55:04,854 - pyskl - INFO - Epoch [95][1400/3746] lr: 3.026e-02, eta: 1 day, 12:30:15, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3581, top5_acc: 0.6144, loss_cls: 5.2151, loss: 5.2151 +2024-01-02 01:56:04,347 - pyskl - INFO - Epoch [95][1500/3746] lr: 3.024e-02, eta: 1 day, 12:29:00, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3502, top5_acc: 0.6189, loss_cls: 5.2172, loss: 5.2172 +2024-01-02 01:57:03,936 - pyskl - INFO - Epoch [95][1600/3746] lr: 3.021e-02, eta: 1 day, 12:27:46, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3605, top5_acc: 0.6189, loss_cls: 5.1796, loss: 5.1796 +2024-01-02 01:58:04,111 - pyskl - INFO - Epoch [95][1700/3746] lr: 3.019e-02, eta: 1 day, 12:26:34, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3483, top5_acc: 0.6152, loss_cls: 5.2472, loss: 5.2472 +2024-01-02 01:59:04,415 - pyskl - INFO - Epoch [95][1800/3746] lr: 3.016e-02, eta: 1 day, 12:25:22, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3477, top5_acc: 0.6180, loss_cls: 5.2417, loss: 5.2417 +2024-01-02 02:00:04,811 - pyskl - INFO - Epoch [95][1900/3746] lr: 3.014e-02, eta: 1 day, 12:24:11, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3492, top5_acc: 0.6033, loss_cls: 5.2738, loss: 5.2738 +2024-01-02 02:01:04,302 - pyskl - INFO - Epoch [95][2000/3746] lr: 3.011e-02, eta: 1 day, 12:22:56, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3484, top5_acc: 0.6116, loss_cls: 5.2689, loss: 5.2689 +2024-01-02 02:02:03,799 - pyskl - INFO - Epoch [95][2100/3746] lr: 3.008e-02, eta: 1 day, 12:21:42, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3531, top5_acc: 0.6222, loss_cls: 5.2003, loss: 5.2003 +2024-01-02 02:03:03,490 - pyskl - INFO - Epoch [95][2200/3746] lr: 3.006e-02, eta: 1 day, 12:20:29, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3680, top5_acc: 0.6192, loss_cls: 5.2030, loss: 5.2030 +2024-01-02 02:04:02,805 - pyskl - INFO - Epoch [95][2300/3746] lr: 3.003e-02, eta: 1 day, 12:19:14, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3616, top5_acc: 0.6202, loss_cls: 5.2265, loss: 5.2265 +2024-01-02 02:05:02,558 - pyskl - INFO - Epoch [95][2400/3746] lr: 3.001e-02, eta: 1 day, 12:18:01, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3494, top5_acc: 0.6125, loss_cls: 5.2291, loss: 5.2291 +2024-01-02 02:06:02,382 - pyskl - INFO - Epoch [95][2500/3746] lr: 2.998e-02, eta: 1 day, 12:16:48, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3564, top5_acc: 0.6248, loss_cls: 5.2044, loss: 5.2044 +2024-01-02 02:07:01,802 - pyskl - INFO - Epoch [95][2600/3746] lr: 2.996e-02, eta: 1 day, 12:15:33, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3627, top5_acc: 0.6080, loss_cls: 5.2431, loss: 5.2431 +2024-01-02 02:08:01,467 - pyskl - INFO - Epoch [95][2700/3746] lr: 2.993e-02, eta: 1 day, 12:14:20, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3578, top5_acc: 0.6216, loss_cls: 5.2111, loss: 5.2111 +2024-01-02 02:09:01,094 - pyskl - INFO - Epoch [95][2800/3746] lr: 2.991e-02, eta: 1 day, 12:13:06, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3528, top5_acc: 0.6141, loss_cls: 5.2332, loss: 5.2332 +2024-01-02 02:10:00,488 - pyskl - INFO - Epoch [95][2900/3746] lr: 2.988e-02, eta: 1 day, 12:11:52, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3577, top5_acc: 0.6122, loss_cls: 5.2200, loss: 5.2200 +2024-01-02 02:10:59,940 - pyskl - INFO - Epoch [95][3000/3746] lr: 2.985e-02, eta: 1 day, 12:10:38, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3544, top5_acc: 0.6189, loss_cls: 5.2409, loss: 5.2409 +2024-01-02 02:11:59,285 - pyskl - INFO - Epoch [95][3100/3746] lr: 2.983e-02, eta: 1 day, 12:09:24, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3553, top5_acc: 0.6086, loss_cls: 5.2740, loss: 5.2740 +2024-01-02 02:12:59,005 - pyskl - INFO - Epoch [95][3200/3746] lr: 2.980e-02, eta: 1 day, 12:08:11, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3541, top5_acc: 0.6123, loss_cls: 5.2468, loss: 5.2468 +2024-01-02 02:13:58,918 - pyskl - INFO - Epoch [95][3300/3746] lr: 2.978e-02, eta: 1 day, 12:06:59, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3623, top5_acc: 0.6227, loss_cls: 5.1653, loss: 5.1653 +2024-01-02 02:14:58,792 - pyskl - INFO - Epoch [95][3400/3746] lr: 2.975e-02, eta: 1 day, 12:05:46, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3431, top5_acc: 0.6028, loss_cls: 5.2785, loss: 5.2785 +2024-01-02 02:15:59,228 - pyskl - INFO - Epoch [95][3500/3746] lr: 2.973e-02, eta: 1 day, 12:04:35, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3506, top5_acc: 0.6158, loss_cls: 5.2532, loss: 5.2532 +2024-01-02 02:16:59,278 - pyskl - INFO - Epoch [95][3600/3746] lr: 2.970e-02, eta: 1 day, 12:03:23, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3497, top5_acc: 0.6205, loss_cls: 5.2308, loss: 5.2308 +2024-01-02 02:17:59,083 - pyskl - INFO - Epoch [95][3700/3746] lr: 2.968e-02, eta: 1 day, 12:02:11, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3302, top5_acc: 0.6009, loss_cls: 5.3268, loss: 5.3268 +2024-01-02 02:18:29,744 - pyskl - INFO - Saving checkpoint at 95 epochs +2024-01-02 02:20:29,989 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 02:20:30,826 - pyskl - INFO - +top1_acc 0.2891 +top5_acc 0.5515 +2024-01-02 02:20:30,826 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 02:20:30,879 - pyskl - INFO - +mean_acc 0.2891 +2024-01-02 02:20:30,895 - pyskl - INFO - Epoch(val) [95][309] top1_acc: 0.2891, top5_acc: 0.5515, mean_class_accuracy: 0.2891 +2024-01-02 02:23:49,679 - pyskl - INFO - Epoch [96][100/3746] lr: 2.964e-02, eta: 1 day, 12:06:05, time: 1.988, data_time: 1.392, memory: 16180, top1_acc: 0.3727, top5_acc: 0.6364, loss_cls: 5.1332, loss: 5.1332 +2024-01-02 02:24:48,485 - pyskl - INFO - Epoch [96][200/3746] lr: 2.961e-02, eta: 1 day, 12:04:49, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.3692, top5_acc: 0.6388, loss_cls: 5.1332, loss: 5.1332 +2024-01-02 02:25:47,800 - pyskl - INFO - Epoch [96][300/3746] lr: 2.959e-02, eta: 1 day, 12:03:34, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3639, top5_acc: 0.6245, loss_cls: 5.1879, loss: 5.1879 +2024-01-02 02:26:47,134 - pyskl - INFO - Epoch [96][400/3746] lr: 2.956e-02, eta: 1 day, 12:02:19, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3561, top5_acc: 0.6205, loss_cls: 5.1838, loss: 5.1838 +2024-01-02 02:27:46,401 - pyskl - INFO - Epoch [96][500/3746] lr: 2.954e-02, eta: 1 day, 12:01:05, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3627, top5_acc: 0.6291, loss_cls: 5.1860, loss: 5.1860 +2024-01-02 02:28:46,255 - pyskl - INFO - Epoch [96][600/3746] lr: 2.951e-02, eta: 1 day, 11:59:52, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3606, top5_acc: 0.6212, loss_cls: 5.1949, loss: 5.1949 +2024-01-02 02:29:46,320 - pyskl - INFO - Epoch [96][700/3746] lr: 2.948e-02, eta: 1 day, 11:58:40, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3638, top5_acc: 0.6233, loss_cls: 5.1739, loss: 5.1739 +2024-01-02 02:30:46,248 - pyskl - INFO - Epoch [96][800/3746] lr: 2.946e-02, eta: 1 day, 11:57:27, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3520, top5_acc: 0.6167, loss_cls: 5.2251, loss: 5.2251 +2024-01-02 02:31:46,073 - pyskl - INFO - Epoch [96][900/3746] lr: 2.943e-02, eta: 1 day, 11:56:14, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3534, top5_acc: 0.6177, loss_cls: 5.2162, loss: 5.2162 +2024-01-02 02:32:45,967 - pyskl - INFO - Epoch [96][1000/3746] lr: 2.941e-02, eta: 1 day, 11:55:02, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3552, top5_acc: 0.6208, loss_cls: 5.2150, loss: 5.2150 +2024-01-02 02:33:45,728 - pyskl - INFO - Epoch [96][1100/3746] lr: 2.938e-02, eta: 1 day, 11:53:49, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3603, top5_acc: 0.6253, loss_cls: 5.2185, loss: 5.2185 +2024-01-02 02:34:45,241 - pyskl - INFO - Epoch [96][1200/3746] lr: 2.936e-02, eta: 1 day, 11:52:35, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3509, top5_acc: 0.6203, loss_cls: 5.2307, loss: 5.2307 +2024-01-02 02:35:44,777 - pyskl - INFO - Epoch [96][1300/3746] lr: 2.933e-02, eta: 1 day, 11:51:22, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3600, top5_acc: 0.6184, loss_cls: 5.2053, loss: 5.2053 +2024-01-02 02:36:44,262 - pyskl - INFO - Epoch [96][1400/3746] lr: 2.931e-02, eta: 1 day, 11:50:08, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3480, top5_acc: 0.6103, loss_cls: 5.2389, loss: 5.2389 +2024-01-02 02:37:43,683 - pyskl - INFO - Epoch [96][1500/3746] lr: 2.928e-02, eta: 1 day, 11:48:54, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3617, top5_acc: 0.6158, loss_cls: 5.2118, loss: 5.2118 +2024-01-02 02:38:43,353 - pyskl - INFO - Epoch [96][1600/3746] lr: 2.926e-02, eta: 1 day, 11:47:41, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3591, top5_acc: 0.6197, loss_cls: 5.2197, loss: 5.2197 +2024-01-02 02:39:42,945 - pyskl - INFO - Epoch [96][1700/3746] lr: 2.923e-02, eta: 1 day, 11:46:28, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3600, top5_acc: 0.6181, loss_cls: 5.2162, loss: 5.2162 +2024-01-02 02:40:42,843 - pyskl - INFO - Epoch [96][1800/3746] lr: 2.920e-02, eta: 1 day, 11:45:16, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3558, top5_acc: 0.6200, loss_cls: 5.2041, loss: 5.2041 +2024-01-02 02:41:42,464 - pyskl - INFO - Epoch [96][1900/3746] lr: 2.918e-02, eta: 1 day, 11:44:03, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3544, top5_acc: 0.6208, loss_cls: 5.2012, loss: 5.2012 +2024-01-02 02:42:42,069 - pyskl - INFO - Epoch [96][2000/3746] lr: 2.915e-02, eta: 1 day, 11:42:50, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3573, top5_acc: 0.6250, loss_cls: 5.1897, loss: 5.1897 +2024-01-02 02:43:41,900 - pyskl - INFO - Epoch [96][2100/3746] lr: 2.913e-02, eta: 1 day, 11:41:37, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3513, top5_acc: 0.6142, loss_cls: 5.2637, loss: 5.2637 +2024-01-02 02:44:41,447 - pyskl - INFO - Epoch [96][2200/3746] lr: 2.910e-02, eta: 1 day, 11:40:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3527, top5_acc: 0.6156, loss_cls: 5.2482, loss: 5.2482 +2024-01-02 02:45:41,033 - pyskl - INFO - Epoch [96][2300/3746] lr: 2.908e-02, eta: 1 day, 11:39:11, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3575, top5_acc: 0.6228, loss_cls: 5.1908, loss: 5.1908 +2024-01-02 02:46:40,718 - pyskl - INFO - Epoch [96][2400/3746] lr: 2.905e-02, eta: 1 day, 11:37:58, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3538, top5_acc: 0.6195, loss_cls: 5.2150, loss: 5.2150 +2024-01-02 02:47:40,421 - pyskl - INFO - Epoch [96][2500/3746] lr: 2.903e-02, eta: 1 day, 11:36:46, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3650, top5_acc: 0.6358, loss_cls: 5.1543, loss: 5.1543 +2024-01-02 02:48:40,067 - pyskl - INFO - Epoch [96][2600/3746] lr: 2.900e-02, eta: 1 day, 11:35:33, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3566, top5_acc: 0.6175, loss_cls: 5.2119, loss: 5.2119 +2024-01-02 02:49:39,765 - pyskl - INFO - Epoch [96][2700/3746] lr: 2.898e-02, eta: 1 day, 11:34:21, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3558, top5_acc: 0.6198, loss_cls: 5.2234, loss: 5.2234 +2024-01-02 02:50:40,151 - pyskl - INFO - Epoch [96][2800/3746] lr: 2.895e-02, eta: 1 day, 11:33:10, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3613, top5_acc: 0.6270, loss_cls: 5.1596, loss: 5.1596 +2024-01-02 02:51:39,957 - pyskl - INFO - Epoch [96][2900/3746] lr: 2.893e-02, eta: 1 day, 11:31:58, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3519, top5_acc: 0.6158, loss_cls: 5.2216, loss: 5.2216 +2024-01-02 02:52:39,499 - pyskl - INFO - Epoch [96][3000/3746] lr: 2.890e-02, eta: 1 day, 11:30:45, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3633, top5_acc: 0.6248, loss_cls: 5.1891, loss: 5.1891 +2024-01-02 02:53:39,232 - pyskl - INFO - Epoch [96][3100/3746] lr: 2.887e-02, eta: 1 day, 11:29:33, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3617, top5_acc: 0.6272, loss_cls: 5.2160, loss: 5.2160 +2024-01-02 02:54:38,984 - pyskl - INFO - Epoch [96][3200/3746] lr: 2.885e-02, eta: 1 day, 11:28:21, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3517, top5_acc: 0.6139, loss_cls: 5.2409, loss: 5.2409 +2024-01-02 02:55:38,477 - pyskl - INFO - Epoch [96][3300/3746] lr: 2.882e-02, eta: 1 day, 11:27:08, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3598, top5_acc: 0.6197, loss_cls: 5.1938, loss: 5.1938 +2024-01-02 02:56:38,497 - pyskl - INFO - Epoch [96][3400/3746] lr: 2.880e-02, eta: 1 day, 11:25:56, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3445, top5_acc: 0.6192, loss_cls: 5.2401, loss: 5.2401 +2024-01-02 02:57:38,645 - pyskl - INFO - Epoch [96][3500/3746] lr: 2.877e-02, eta: 1 day, 11:24:45, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3594, top5_acc: 0.6172, loss_cls: 5.2209, loss: 5.2209 +2024-01-02 02:58:37,748 - pyskl - INFO - Epoch [96][3600/3746] lr: 2.875e-02, eta: 1 day, 11:23:31, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3633, top5_acc: 0.6266, loss_cls: 5.1979, loss: 5.1979 +2024-01-02 02:59:37,141 - pyskl - INFO - Epoch [96][3700/3746] lr: 2.872e-02, eta: 1 day, 11:22:18, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3661, top5_acc: 0.6273, loss_cls: 5.1604, loss: 5.1604 +2024-01-02 03:00:06,993 - pyskl - INFO - Saving checkpoint at 96 epochs +2024-01-02 03:02:04,775 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 03:02:05,638 - pyskl - INFO - +top1_acc 0.2806 +top5_acc 0.5295 +2024-01-02 03:02:05,638 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 03:02:05,674 - pyskl - INFO - +mean_acc 0.2805 +2024-01-02 03:02:05,683 - pyskl - INFO - Epoch(val) [96][309] top1_acc: 0.2806, top5_acc: 0.5295, mean_class_accuracy: 0.2805 +2024-01-02 03:05:28,635 - pyskl - INFO - Epoch [97][100/3746] lr: 2.869e-02, eta: 1 day, 11:26:02, time: 2.029, data_time: 1.430, memory: 16180, top1_acc: 0.3663, top5_acc: 0.6273, loss_cls: 5.1380, loss: 5.1380 +2024-01-02 03:06:28,746 - pyskl - INFO - Epoch [97][200/3746] lr: 2.866e-02, eta: 1 day, 11:24:50, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3569, top5_acc: 0.6294, loss_cls: 5.1854, loss: 5.1854 +2024-01-02 03:07:28,421 - pyskl - INFO - Epoch [97][300/3746] lr: 2.864e-02, eta: 1 day, 11:23:37, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3622, top5_acc: 0.6333, loss_cls: 5.1557, loss: 5.1557 +2024-01-02 03:08:28,083 - pyskl - INFO - Epoch [97][400/3746] lr: 2.861e-02, eta: 1 day, 11:22:25, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3644, top5_acc: 0.6272, loss_cls: 5.1641, loss: 5.1641 +2024-01-02 03:09:27,555 - pyskl - INFO - Epoch [97][500/3746] lr: 2.858e-02, eta: 1 day, 11:21:11, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3663, top5_acc: 0.6294, loss_cls: 5.1642, loss: 5.1642 +2024-01-02 03:10:27,653 - pyskl - INFO - Epoch [97][600/3746] lr: 2.856e-02, eta: 1 day, 11:20:00, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3581, top5_acc: 0.6295, loss_cls: 5.1447, loss: 5.1447 +2024-01-02 03:11:28,465 - pyskl - INFO - Epoch [97][700/3746] lr: 2.853e-02, eta: 1 day, 11:18:50, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3588, top5_acc: 0.6395, loss_cls: 5.1409, loss: 5.1409 +2024-01-02 03:12:28,027 - pyskl - INFO - Epoch [97][800/3746] lr: 2.851e-02, eta: 1 day, 11:17:38, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3586, top5_acc: 0.6316, loss_cls: 5.1669, loss: 5.1669 +2024-01-02 03:13:27,323 - pyskl - INFO - Epoch [97][900/3746] lr: 2.848e-02, eta: 1 day, 11:16:24, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3523, top5_acc: 0.6236, loss_cls: 5.1909, loss: 5.1909 +2024-01-02 03:14:27,008 - pyskl - INFO - Epoch [97][1000/3746] lr: 2.846e-02, eta: 1 day, 11:15:12, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3556, top5_acc: 0.6198, loss_cls: 5.1779, loss: 5.1779 +2024-01-02 03:15:26,440 - pyskl - INFO - Epoch [97][1100/3746] lr: 2.843e-02, eta: 1 day, 11:13:58, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3625, top5_acc: 0.6308, loss_cls: 5.1679, loss: 5.1679 +2024-01-02 03:16:25,899 - pyskl - INFO - Epoch [97][1200/3746] lr: 2.841e-02, eta: 1 day, 11:12:45, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3698, top5_acc: 0.6284, loss_cls: 5.1828, loss: 5.1828 +2024-01-02 03:17:25,539 - pyskl - INFO - Epoch [97][1300/3746] lr: 2.838e-02, eta: 1 day, 11:11:33, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3545, top5_acc: 0.6136, loss_cls: 5.2234, loss: 5.2234 +2024-01-02 03:18:24,962 - pyskl - INFO - Epoch [97][1400/3746] lr: 2.836e-02, eta: 1 day, 11:10:20, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3572, top5_acc: 0.6131, loss_cls: 5.2319, loss: 5.2319 +2024-01-02 03:19:24,712 - pyskl - INFO - Epoch [97][1500/3746] lr: 2.833e-02, eta: 1 day, 11:09:08, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3606, top5_acc: 0.6227, loss_cls: 5.1883, loss: 5.1883 +2024-01-02 03:20:24,158 - pyskl - INFO - Epoch [97][1600/3746] lr: 2.831e-02, eta: 1 day, 11:07:55, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3638, top5_acc: 0.6294, loss_cls: 5.1665, loss: 5.1665 +2024-01-02 03:21:24,002 - pyskl - INFO - Epoch [97][1700/3746] lr: 2.828e-02, eta: 1 day, 11:06:43, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3473, top5_acc: 0.6144, loss_cls: 5.2366, loss: 5.2366 +2024-01-02 03:22:23,520 - pyskl - INFO - Epoch [97][1800/3746] lr: 2.826e-02, eta: 1 day, 11:05:30, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3570, top5_acc: 0.6220, loss_cls: 5.1998, loss: 5.1998 +2024-01-02 03:23:22,762 - pyskl - INFO - Epoch [97][1900/3746] lr: 2.823e-02, eta: 1 day, 11:04:17, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3592, top5_acc: 0.6211, loss_cls: 5.2066, loss: 5.2066 +2024-01-02 03:24:22,203 - pyskl - INFO - Epoch [97][2000/3746] lr: 2.821e-02, eta: 1 day, 11:03:04, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3545, top5_acc: 0.6212, loss_cls: 5.2350, loss: 5.2350 +2024-01-02 03:25:21,462 - pyskl - INFO - Epoch [97][2100/3746] lr: 2.818e-02, eta: 1 day, 11:01:51, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3558, top5_acc: 0.6250, loss_cls: 5.2084, loss: 5.2084 +2024-01-02 03:26:20,906 - pyskl - INFO - Epoch [97][2200/3746] lr: 2.816e-02, eta: 1 day, 11:00:38, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3477, top5_acc: 0.6162, loss_cls: 5.2447, loss: 5.2447 +2024-01-02 03:27:20,743 - pyskl - INFO - Epoch [97][2300/3746] lr: 2.813e-02, eta: 1 day, 10:59:27, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3573, top5_acc: 0.6297, loss_cls: 5.1646, loss: 5.1646 +2024-01-02 03:28:20,290 - pyskl - INFO - Epoch [97][2400/3746] lr: 2.811e-02, eta: 1 day, 10:58:14, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3523, top5_acc: 0.6155, loss_cls: 5.2323, loss: 5.2323 +2024-01-02 03:29:19,965 - pyskl - INFO - Epoch [97][2500/3746] lr: 2.808e-02, eta: 1 day, 10:57:02, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3541, top5_acc: 0.6136, loss_cls: 5.2063, loss: 5.2063 +2024-01-02 03:30:19,518 - pyskl - INFO - Epoch [97][2600/3746] lr: 2.806e-02, eta: 1 day, 10:55:50, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3592, top5_acc: 0.6272, loss_cls: 5.2046, loss: 5.2046 +2024-01-02 03:31:19,334 - pyskl - INFO - Epoch [97][2700/3746] lr: 2.803e-02, eta: 1 day, 10:54:39, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3663, top5_acc: 0.6266, loss_cls: 5.1686, loss: 5.1686 +2024-01-02 03:32:19,058 - pyskl - INFO - Epoch [97][2800/3746] lr: 2.801e-02, eta: 1 day, 10:53:27, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3556, top5_acc: 0.6202, loss_cls: 5.2160, loss: 5.2160 +2024-01-02 03:33:18,830 - pyskl - INFO - Epoch [97][2900/3746] lr: 2.798e-02, eta: 1 day, 10:52:15, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3613, top5_acc: 0.6269, loss_cls: 5.2027, loss: 5.2027 +2024-01-02 03:34:19,089 - pyskl - INFO - Epoch [97][3000/3746] lr: 2.796e-02, eta: 1 day, 10:51:05, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3645, top5_acc: 0.6352, loss_cls: 5.1516, loss: 5.1516 +2024-01-02 03:35:19,273 - pyskl - INFO - Epoch [97][3100/3746] lr: 2.793e-02, eta: 1 day, 10:49:55, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3591, top5_acc: 0.6267, loss_cls: 5.2149, loss: 5.2149 +2024-01-02 03:36:19,498 - pyskl - INFO - Epoch [97][3200/3746] lr: 2.791e-02, eta: 1 day, 10:48:45, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3686, top5_acc: 0.6238, loss_cls: 5.1834, loss: 5.1834 +2024-01-02 03:37:19,941 - pyskl - INFO - Epoch [97][3300/3746] lr: 2.788e-02, eta: 1 day, 10:47:35, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3569, top5_acc: 0.6191, loss_cls: 5.2068, loss: 5.2068 +2024-01-02 03:38:19,770 - pyskl - INFO - Epoch [97][3400/3746] lr: 2.786e-02, eta: 1 day, 10:46:24, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3572, top5_acc: 0.6205, loss_cls: 5.1967, loss: 5.1967 +2024-01-02 03:39:20,477 - pyskl - INFO - Epoch [97][3500/3746] lr: 2.783e-02, eta: 1 day, 10:45:15, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3594, top5_acc: 0.6192, loss_cls: 5.1853, loss: 5.1853 +2024-01-02 03:40:20,314 - pyskl - INFO - Epoch [97][3600/3746] lr: 2.781e-02, eta: 1 day, 10:44:04, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3628, top5_acc: 0.6303, loss_cls: 5.1865, loss: 5.1865 +2024-01-02 03:41:20,702 - pyskl - INFO - Epoch [97][3700/3746] lr: 2.778e-02, eta: 1 day, 10:42:54, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3628, top5_acc: 0.6286, loss_cls: 5.1834, loss: 5.1834 +2024-01-02 03:41:51,159 - pyskl - INFO - Saving checkpoint at 97 epochs +2024-01-02 03:43:52,990 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 03:43:54,056 - pyskl - INFO - +top1_acc 0.3056 +top5_acc 0.5604 +2024-01-02 03:43:54,056 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 03:43:54,108 - pyskl - INFO - +mean_acc 0.3054 +2024-01-02 03:43:54,119 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_92.pth was removed +2024-01-02 03:43:54,499 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. +2024-01-02 03:43:54,500 - pyskl - INFO - Best top1_acc is 0.3056 at 97 epoch. +2024-01-02 03:43:54,510 - pyskl - INFO - Epoch(val) [97][309] top1_acc: 0.3056, top5_acc: 0.5604, mean_class_accuracy: 0.3054 +2024-01-02 03:47:14,968 - pyskl - INFO - Epoch [98][100/3746] lr: 2.774e-02, eta: 1 day, 10:46:09, time: 2.004, data_time: 1.406, memory: 16180, top1_acc: 0.3656, top5_acc: 0.6319, loss_cls: 5.1497, loss: 5.1497 +2024-01-02 03:48:14,268 - pyskl - INFO - Epoch [98][200/3746] lr: 2.772e-02, eta: 1 day, 10:44:56, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3670, top5_acc: 0.6345, loss_cls: 5.1463, loss: 5.1463 +2024-01-02 03:49:13,765 - pyskl - INFO - Epoch [98][300/3746] lr: 2.769e-02, eta: 1 day, 10:43:44, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3553, top5_acc: 0.6353, loss_cls: 5.1503, loss: 5.1503 +2024-01-02 03:50:13,626 - pyskl - INFO - Epoch [98][400/3746] lr: 2.767e-02, eta: 1 day, 10:42:32, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3691, top5_acc: 0.6233, loss_cls: 5.1506, loss: 5.1506 +2024-01-02 03:51:13,467 - pyskl - INFO - Epoch [98][500/3746] lr: 2.764e-02, eta: 1 day, 10:41:21, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3722, top5_acc: 0.6230, loss_cls: 5.1555, loss: 5.1555 +2024-01-02 03:52:13,817 - pyskl - INFO - Epoch [98][600/3746] lr: 2.762e-02, eta: 1 day, 10:40:10, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3719, top5_acc: 0.6375, loss_cls: 5.1269, loss: 5.1269 +2024-01-02 03:53:14,401 - pyskl - INFO - Epoch [98][700/3746] lr: 2.759e-02, eta: 1 day, 10:39:01, time: 0.606, data_time: 0.001, memory: 16180, top1_acc: 0.3564, top5_acc: 0.6281, loss_cls: 5.1705, loss: 5.1705 +2024-01-02 03:54:14,476 - pyskl - INFO - Epoch [98][800/3746] lr: 2.757e-02, eta: 1 day, 10:37:50, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3620, top5_acc: 0.6286, loss_cls: 5.1607, loss: 5.1607 +2024-01-02 03:55:14,071 - pyskl - INFO - Epoch [98][900/3746] lr: 2.754e-02, eta: 1 day, 10:36:38, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3652, top5_acc: 0.6228, loss_cls: 5.1694, loss: 5.1694 +2024-01-02 03:56:13,628 - pyskl - INFO - Epoch [98][1000/3746] lr: 2.752e-02, eta: 1 day, 10:35:26, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3622, top5_acc: 0.6231, loss_cls: 5.2049, loss: 5.2049 +2024-01-02 03:57:12,861 - pyskl - INFO - Epoch [98][1100/3746] lr: 2.749e-02, eta: 1 day, 10:34:13, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3652, top5_acc: 0.6266, loss_cls: 5.1813, loss: 5.1813 +2024-01-02 03:58:12,243 - pyskl - INFO - Epoch [98][1200/3746] lr: 2.747e-02, eta: 1 day, 10:33:00, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3659, top5_acc: 0.6273, loss_cls: 5.1576, loss: 5.1576 +2024-01-02 03:59:11,474 - pyskl - INFO - Epoch [98][1300/3746] lr: 2.744e-02, eta: 1 day, 10:31:48, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3658, top5_acc: 0.6348, loss_cls: 5.1519, loss: 5.1519 +2024-01-02 04:00:10,475 - pyskl - INFO - Epoch [98][1400/3746] lr: 2.742e-02, eta: 1 day, 10:30:34, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.3575, top5_acc: 0.6203, loss_cls: 5.1967, loss: 5.1967 +2024-01-02 04:01:10,063 - pyskl - INFO - Epoch [98][1500/3746] lr: 2.739e-02, eta: 1 day, 10:29:22, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3556, top5_acc: 0.6225, loss_cls: 5.1899, loss: 5.1899 +2024-01-02 04:02:09,560 - pyskl - INFO - Epoch [98][1600/3746] lr: 2.737e-02, eta: 1 day, 10:28:10, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3620, top5_acc: 0.6233, loss_cls: 5.1853, loss: 5.1853 +2024-01-02 04:03:08,937 - pyskl - INFO - Epoch [98][1700/3746] lr: 2.734e-02, eta: 1 day, 10:26:58, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3691, top5_acc: 0.6259, loss_cls: 5.1727, loss: 5.1727 +2024-01-02 04:04:08,282 - pyskl - INFO - Epoch [98][1800/3746] lr: 2.732e-02, eta: 1 day, 10:25:45, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3638, top5_acc: 0.6278, loss_cls: 5.1515, loss: 5.1515 +2024-01-02 04:05:07,755 - pyskl - INFO - Epoch [98][1900/3746] lr: 2.729e-02, eta: 1 day, 10:24:33, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3703, top5_acc: 0.6348, loss_cls: 5.1341, loss: 5.1341 +2024-01-02 04:06:07,006 - pyskl - INFO - Epoch [98][2000/3746] lr: 2.727e-02, eta: 1 day, 10:23:21, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3609, top5_acc: 0.6281, loss_cls: 5.1783, loss: 5.1783 +2024-01-02 04:07:06,363 - pyskl - INFO - Epoch [98][2100/3746] lr: 2.724e-02, eta: 1 day, 10:22:09, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3641, top5_acc: 0.6220, loss_cls: 5.1992, loss: 5.1992 +2024-01-02 04:08:05,746 - pyskl - INFO - Epoch [98][2200/3746] lr: 2.722e-02, eta: 1 day, 10:20:56, time: 0.594, data_time: 0.001, memory: 16180, top1_acc: 0.3586, top5_acc: 0.6316, loss_cls: 5.1783, loss: 5.1783 +2024-01-02 04:09:05,105 - pyskl - INFO - Epoch [98][2300/3746] lr: 2.719e-02, eta: 1 day, 10:19:44, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3647, top5_acc: 0.6284, loss_cls: 5.1663, loss: 5.1663 +2024-01-02 04:10:04,720 - pyskl - INFO - Epoch [98][2400/3746] lr: 2.717e-02, eta: 1 day, 10:18:33, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3691, top5_acc: 0.6270, loss_cls: 5.1870, loss: 5.1870 +2024-01-02 04:11:05,155 - pyskl - INFO - Epoch [98][2500/3746] lr: 2.714e-02, eta: 1 day, 10:17:23, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3697, top5_acc: 0.6280, loss_cls: 5.1690, loss: 5.1690 +2024-01-02 04:12:05,468 - pyskl - INFO - Epoch [98][2600/3746] lr: 2.712e-02, eta: 1 day, 10:16:14, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3647, top5_acc: 0.6264, loss_cls: 5.1748, loss: 5.1748 +2024-01-02 04:13:05,414 - pyskl - INFO - Epoch [98][2700/3746] lr: 2.709e-02, eta: 1 day, 10:15:03, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3550, top5_acc: 0.6134, loss_cls: 5.2337, loss: 5.2337 +2024-01-02 04:14:04,772 - pyskl - INFO - Epoch [98][2800/3746] lr: 2.707e-02, eta: 1 day, 10:13:51, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3642, top5_acc: 0.6325, loss_cls: 5.1539, loss: 5.1539 +2024-01-02 04:15:04,261 - pyskl - INFO - Epoch [98][2900/3746] lr: 2.705e-02, eta: 1 day, 10:12:39, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3623, top5_acc: 0.6253, loss_cls: 5.1886, loss: 5.1886 +2024-01-02 04:16:03,825 - pyskl - INFO - Epoch [98][3000/3746] lr: 2.702e-02, eta: 1 day, 10:11:28, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3589, top5_acc: 0.6188, loss_cls: 5.1988, loss: 5.1988 +2024-01-02 04:17:03,882 - pyskl - INFO - Epoch [98][3100/3746] lr: 2.700e-02, eta: 1 day, 10:10:18, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3555, top5_acc: 0.6217, loss_cls: 5.1795, loss: 5.1795 +2024-01-02 04:18:03,183 - pyskl - INFO - Epoch [98][3200/3746] lr: 2.697e-02, eta: 1 day, 10:09:06, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3577, top5_acc: 0.6284, loss_cls: 5.1877, loss: 5.1877 +2024-01-02 04:19:02,884 - pyskl - INFO - Epoch [98][3300/3746] lr: 2.695e-02, eta: 1 day, 10:07:55, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3547, top5_acc: 0.6197, loss_cls: 5.1944, loss: 5.1944 +2024-01-02 04:20:03,098 - pyskl - INFO - Epoch [98][3400/3746] lr: 2.692e-02, eta: 1 day, 10:06:45, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3652, top5_acc: 0.6236, loss_cls: 5.1818, loss: 5.1818 +2024-01-02 04:21:02,982 - pyskl - INFO - Epoch [98][3500/3746] lr: 2.690e-02, eta: 1 day, 10:05:34, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3628, top5_acc: 0.6275, loss_cls: 5.1757, loss: 5.1757 +2024-01-02 04:22:02,653 - pyskl - INFO - Epoch [98][3600/3746] lr: 2.687e-02, eta: 1 day, 10:04:23, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3531, top5_acc: 0.6223, loss_cls: 5.2173, loss: 5.2173 +2024-01-02 04:23:02,585 - pyskl - INFO - Epoch [98][3700/3746] lr: 2.685e-02, eta: 1 day, 10:03:13, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3686, top5_acc: 0.6303, loss_cls: 5.1554, loss: 5.1554 +2024-01-02 04:23:33,257 - pyskl - INFO - Saving checkpoint at 98 epochs +2024-01-02 04:25:34,598 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 04:25:35,676 - pyskl - INFO - +top1_acc 0.2986 +top5_acc 0.5547 +2024-01-02 04:25:35,677 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 04:25:35,714 - pyskl - INFO - +mean_acc 0.2983 +2024-01-02 04:25:35,723 - pyskl - INFO - Epoch(val) [98][309] top1_acc: 0.2986, top5_acc: 0.5547, mean_class_accuracy: 0.2983 +2024-01-02 04:28:55,696 - pyskl - INFO - Epoch [99][100/3746] lr: 2.681e-02, eta: 1 day, 10:06:08, time: 2.000, data_time: 1.399, memory: 16180, top1_acc: 0.3688, top5_acc: 0.6345, loss_cls: 5.1354, loss: 5.1354 +2024-01-02 04:29:55,874 - pyskl - INFO - Epoch [99][200/3746] lr: 2.679e-02, eta: 1 day, 10:04:58, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3758, top5_acc: 0.6333, loss_cls: 5.1295, loss: 5.1295 +2024-01-02 04:30:55,802 - pyskl - INFO - Epoch [99][300/3746] lr: 2.676e-02, eta: 1 day, 10:03:47, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3758, top5_acc: 0.6303, loss_cls: 5.1490, loss: 5.1490 +2024-01-02 04:31:55,920 - pyskl - INFO - Epoch [99][400/3746] lr: 2.674e-02, eta: 1 day, 10:02:37, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3578, top5_acc: 0.6234, loss_cls: 5.1770, loss: 5.1770 +2024-01-02 04:32:56,516 - pyskl - INFO - Epoch [99][500/3746] lr: 2.671e-02, eta: 1 day, 10:01:28, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3750, top5_acc: 0.6348, loss_cls: 5.1029, loss: 5.1029 +2024-01-02 04:33:57,916 - pyskl - INFO - Epoch [99][600/3746] lr: 2.669e-02, eta: 1 day, 10:00:21, time: 0.614, data_time: 0.000, memory: 16180, top1_acc: 0.3684, top5_acc: 0.6400, loss_cls: 5.1095, loss: 5.1095 +2024-01-02 04:34:58,886 - pyskl - INFO - Epoch [99][700/3746] lr: 2.666e-02, eta: 1 day, 9:59:13, time: 0.610, data_time: 0.001, memory: 16180, top1_acc: 0.3722, top5_acc: 0.6428, loss_cls: 5.1206, loss: 5.1206 +2024-01-02 04:35:59,210 - pyskl - INFO - Epoch [99][800/3746] lr: 2.664e-02, eta: 1 day, 9:58:03, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3495, top5_acc: 0.6242, loss_cls: 5.2166, loss: 5.2166 +2024-01-02 04:36:58,900 - pyskl - INFO - Epoch [99][900/3746] lr: 2.661e-02, eta: 1 day, 9:56:52, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3683, top5_acc: 0.6328, loss_cls: 5.1475, loss: 5.1475 +2024-01-02 04:37:58,665 - pyskl - INFO - Epoch [99][1000/3746] lr: 2.659e-02, eta: 1 day, 9:55:41, time: 0.598, data_time: 0.001, memory: 16180, top1_acc: 0.3697, top5_acc: 0.6381, loss_cls: 5.1283, loss: 5.1283 +2024-01-02 04:38:58,739 - pyskl - INFO - Epoch [99][1100/3746] lr: 2.656e-02, eta: 1 day, 9:54:31, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3834, top5_acc: 0.6500, loss_cls: 5.0558, loss: 5.0558 +2024-01-02 04:39:58,134 - pyskl - INFO - Epoch [99][1200/3746] lr: 2.654e-02, eta: 1 day, 9:53:19, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3716, top5_acc: 0.6255, loss_cls: 5.1379, loss: 5.1379 +2024-01-02 04:40:57,697 - pyskl - INFO - Epoch [99][1300/3746] lr: 2.651e-02, eta: 1 day, 9:52:08, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3702, top5_acc: 0.6298, loss_cls: 5.1290, loss: 5.1290 +2024-01-02 04:41:57,585 - pyskl - INFO - Epoch [99][1400/3746] lr: 2.649e-02, eta: 1 day, 9:50:57, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3488, top5_acc: 0.6188, loss_cls: 5.2006, loss: 5.2006 +2024-01-02 04:42:57,230 - pyskl - INFO - Epoch [99][1500/3746] lr: 2.646e-02, eta: 1 day, 9:49:46, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3744, top5_acc: 0.6312, loss_cls: 5.1299, loss: 5.1299 +2024-01-02 04:43:56,818 - pyskl - INFO - Epoch [99][1600/3746] lr: 2.644e-02, eta: 1 day, 9:48:35, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3714, top5_acc: 0.6292, loss_cls: 5.1485, loss: 5.1485 +2024-01-02 04:44:56,884 - pyskl - INFO - Epoch [99][1700/3746] lr: 2.642e-02, eta: 1 day, 9:47:25, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3666, top5_acc: 0.6269, loss_cls: 5.1724, loss: 5.1724 +2024-01-02 04:45:56,881 - pyskl - INFO - Epoch [99][1800/3746] lr: 2.639e-02, eta: 1 day, 9:46:14, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3602, top5_acc: 0.6264, loss_cls: 5.1905, loss: 5.1905 +2024-01-02 04:46:56,930 - pyskl - INFO - Epoch [99][1900/3746] lr: 2.637e-02, eta: 1 day, 9:45:04, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3714, top5_acc: 0.6259, loss_cls: 5.1545, loss: 5.1545 +2024-01-02 04:47:57,224 - pyskl - INFO - Epoch [99][2000/3746] lr: 2.634e-02, eta: 1 day, 9:43:55, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3592, top5_acc: 0.6266, loss_cls: 5.1691, loss: 5.1691 +2024-01-02 04:48:57,439 - pyskl - INFO - Epoch [99][2100/3746] lr: 2.632e-02, eta: 1 day, 9:42:45, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3620, top5_acc: 0.6278, loss_cls: 5.1802, loss: 5.1802 +2024-01-02 04:49:56,990 - pyskl - INFO - Epoch [99][2200/3746] lr: 2.629e-02, eta: 1 day, 9:41:34, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3708, top5_acc: 0.6348, loss_cls: 5.1529, loss: 5.1529 +2024-01-02 04:50:57,285 - pyskl - INFO - Epoch [99][2300/3746] lr: 2.627e-02, eta: 1 day, 9:40:25, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3627, top5_acc: 0.6248, loss_cls: 5.1834, loss: 5.1834 +2024-01-02 04:51:56,834 - pyskl - INFO - Epoch [99][2400/3746] lr: 2.624e-02, eta: 1 day, 9:39:14, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3673, top5_acc: 0.6316, loss_cls: 5.1472, loss: 5.1472 +2024-01-02 04:52:56,387 - pyskl - INFO - Epoch [99][2500/3746] lr: 2.622e-02, eta: 1 day, 9:38:03, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3652, top5_acc: 0.6245, loss_cls: 5.1453, loss: 5.1453 +2024-01-02 04:53:55,655 - pyskl - INFO - Epoch [99][2600/3746] lr: 2.619e-02, eta: 1 day, 9:36:51, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3664, top5_acc: 0.6309, loss_cls: 5.1653, loss: 5.1653 +2024-01-02 04:54:55,283 - pyskl - INFO - Epoch [99][2700/3746] lr: 2.617e-02, eta: 1 day, 9:35:40, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3772, top5_acc: 0.6262, loss_cls: 5.1547, loss: 5.1547 +2024-01-02 04:55:55,428 - pyskl - INFO - Epoch [99][2800/3746] lr: 2.614e-02, eta: 1 day, 9:34:30, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3633, top5_acc: 0.6258, loss_cls: 5.1728, loss: 5.1728 +2024-01-02 04:56:55,530 - pyskl - INFO - Epoch [99][2900/3746] lr: 2.612e-02, eta: 1 day, 9:33:21, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3641, top5_acc: 0.6270, loss_cls: 5.1631, loss: 5.1631 +2024-01-02 04:57:55,509 - pyskl - INFO - Epoch [99][3000/3746] lr: 2.610e-02, eta: 1 day, 9:32:11, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3663, top5_acc: 0.6272, loss_cls: 5.1654, loss: 5.1654 +2024-01-02 04:58:55,969 - pyskl - INFO - Epoch [99][3100/3746] lr: 2.607e-02, eta: 1 day, 9:31:02, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3686, top5_acc: 0.6295, loss_cls: 5.1614, loss: 5.1614 +2024-01-02 04:59:56,365 - pyskl - INFO - Epoch [99][3200/3746] lr: 2.605e-02, eta: 1 day, 9:29:53, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3556, top5_acc: 0.6245, loss_cls: 5.1877, loss: 5.1877 +2024-01-02 05:00:56,642 - pyskl - INFO - Epoch [99][3300/3746] lr: 2.602e-02, eta: 1 day, 9:28:44, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3647, top5_acc: 0.6191, loss_cls: 5.1939, loss: 5.1939 +2024-01-02 05:01:56,961 - pyskl - INFO - Epoch [99][3400/3746] lr: 2.600e-02, eta: 1 day, 9:27:35, time: 0.603, data_time: 0.001, memory: 16180, top1_acc: 0.3623, top5_acc: 0.6245, loss_cls: 5.1826, loss: 5.1826 +2024-01-02 05:02:56,689 - pyskl - INFO - Epoch [99][3500/3746] lr: 2.597e-02, eta: 1 day, 9:26:25, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3664, top5_acc: 0.6286, loss_cls: 5.1659, loss: 5.1659 +2024-01-02 05:03:56,381 - pyskl - INFO - Epoch [99][3600/3746] lr: 2.595e-02, eta: 1 day, 9:25:14, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3617, top5_acc: 0.6355, loss_cls: 5.1718, loss: 5.1718 +2024-01-02 05:04:56,510 - pyskl - INFO - Epoch [99][3700/3746] lr: 2.592e-02, eta: 1 day, 9:24:05, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3638, top5_acc: 0.6280, loss_cls: 5.1643, loss: 5.1643 +2024-01-02 05:05:26,416 - pyskl - INFO - Saving checkpoint at 99 epochs +2024-01-02 05:07:26,391 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 05:07:27,185 - pyskl - INFO - +top1_acc 0.2888 +top5_acc 0.5413 +2024-01-02 05:07:27,185 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 05:07:27,221 - pyskl - INFO - +mean_acc 0.2886 +2024-01-02 05:07:27,233 - pyskl - INFO - Epoch(val) [99][309] top1_acc: 0.2888, top5_acc: 0.5413, mean_class_accuracy: 0.2886 +2024-01-02 05:10:47,057 - pyskl - INFO - Epoch [100][100/3746] lr: 2.589e-02, eta: 1 day, 9:26:43, time: 1.998, data_time: 1.400, memory: 16180, top1_acc: 0.3780, top5_acc: 0.6395, loss_cls: 5.0938, loss: 5.0938 +2024-01-02 05:11:46,573 - pyskl - INFO - Epoch [100][200/3746] lr: 2.586e-02, eta: 1 day, 9:25:31, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3894, top5_acc: 0.6475, loss_cls: 5.0377, loss: 5.0377 +2024-01-02 05:12:46,223 - pyskl - INFO - Epoch [100][300/3746] lr: 2.584e-02, eta: 1 day, 9:24:20, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3634, top5_acc: 0.6284, loss_cls: 5.1777, loss: 5.1777 +2024-01-02 05:13:46,185 - pyskl - INFO - Epoch [100][400/3746] lr: 2.581e-02, eta: 1 day, 9:23:10, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3789, top5_acc: 0.6403, loss_cls: 5.0969, loss: 5.0969 +2024-01-02 05:14:46,032 - pyskl - INFO - Epoch [100][500/3746] lr: 2.579e-02, eta: 1 day, 9:22:00, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3667, top5_acc: 0.6488, loss_cls: 5.0903, loss: 5.0903 +2024-01-02 05:15:45,840 - pyskl - INFO - Epoch [100][600/3746] lr: 2.577e-02, eta: 1 day, 9:20:49, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3638, top5_acc: 0.6272, loss_cls: 5.1579, loss: 5.1579 +2024-01-02 05:16:45,779 - pyskl - INFO - Epoch [100][700/3746] lr: 2.574e-02, eta: 1 day, 9:19:39, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3764, top5_acc: 0.6414, loss_cls: 5.0913, loss: 5.0913 +2024-01-02 05:17:46,177 - pyskl - INFO - Epoch [100][800/3746] lr: 2.572e-02, eta: 1 day, 9:18:30, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3675, top5_acc: 0.6377, loss_cls: 5.1155, loss: 5.1155 +2024-01-02 05:18:45,810 - pyskl - INFO - Epoch [100][900/3746] lr: 2.569e-02, eta: 1 day, 9:17:19, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3697, top5_acc: 0.6311, loss_cls: 5.1242, loss: 5.1242 +2024-01-02 05:19:45,394 - pyskl - INFO - Epoch [100][1000/3746] lr: 2.567e-02, eta: 1 day, 9:16:09, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3608, top5_acc: 0.6222, loss_cls: 5.1642, loss: 5.1642 +2024-01-02 05:20:45,478 - pyskl - INFO - Epoch [100][1100/3746] lr: 2.564e-02, eta: 1 day, 9:14:59, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3738, top5_acc: 0.6398, loss_cls: 5.0876, loss: 5.0876 +2024-01-02 05:21:44,762 - pyskl - INFO - Epoch [100][1200/3746] lr: 2.562e-02, eta: 1 day, 9:13:47, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3642, top5_acc: 0.6294, loss_cls: 5.1635, loss: 5.1635 +2024-01-02 05:22:44,002 - pyskl - INFO - Epoch [100][1300/3746] lr: 2.559e-02, eta: 1 day, 9:12:36, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3723, top5_acc: 0.6344, loss_cls: 5.1098, loss: 5.1098 +2024-01-02 05:23:43,183 - pyskl - INFO - Epoch [100][1400/3746] lr: 2.557e-02, eta: 1 day, 9:11:24, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3647, top5_acc: 0.6336, loss_cls: 5.1460, loss: 5.1460 +2024-01-02 05:24:42,625 - pyskl - INFO - Epoch [100][1500/3746] lr: 2.555e-02, eta: 1 day, 9:10:13, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3714, top5_acc: 0.6375, loss_cls: 5.1259, loss: 5.1259 +2024-01-02 05:25:42,040 - pyskl - INFO - Epoch [100][1600/3746] lr: 2.552e-02, eta: 1 day, 9:09:02, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3591, top5_acc: 0.6234, loss_cls: 5.1597, loss: 5.1597 +2024-01-02 05:26:41,617 - pyskl - INFO - Epoch [100][1700/3746] lr: 2.550e-02, eta: 1 day, 9:07:51, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3691, top5_acc: 0.6380, loss_cls: 5.1366, loss: 5.1366 +2024-01-02 05:27:41,152 - pyskl - INFO - Epoch [100][1800/3746] lr: 2.547e-02, eta: 1 day, 9:06:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3678, top5_acc: 0.6281, loss_cls: 5.1509, loss: 5.1509 +2024-01-02 05:28:40,469 - pyskl - INFO - Epoch [100][1900/3746] lr: 2.545e-02, eta: 1 day, 9:05:29, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3738, top5_acc: 0.6420, loss_cls: 5.1079, loss: 5.1079 +2024-01-02 05:29:40,420 - pyskl - INFO - Epoch [100][2000/3746] lr: 2.542e-02, eta: 1 day, 9:04:20, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3738, top5_acc: 0.6320, loss_cls: 5.1448, loss: 5.1448 +2024-01-02 05:30:40,526 - pyskl - INFO - Epoch [100][2100/3746] lr: 2.540e-02, eta: 1 day, 9:03:10, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3575, top5_acc: 0.6228, loss_cls: 5.1786, loss: 5.1786 +2024-01-02 05:31:39,986 - pyskl - INFO - Epoch [100][2200/3746] lr: 2.538e-02, eta: 1 day, 9:01:59, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3686, top5_acc: 0.6345, loss_cls: 5.1650, loss: 5.1650 +2024-01-02 05:32:39,427 - pyskl - INFO - Epoch [100][2300/3746] lr: 2.535e-02, eta: 1 day, 9:00:48, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3591, top5_acc: 0.6314, loss_cls: 5.1491, loss: 5.1491 +2024-01-02 05:33:38,669 - pyskl - INFO - Epoch [100][2400/3746] lr: 2.533e-02, eta: 1 day, 8:59:37, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3636, top5_acc: 0.6267, loss_cls: 5.1671, loss: 5.1671 +2024-01-02 05:34:38,030 - pyskl - INFO - Epoch [100][2500/3746] lr: 2.530e-02, eta: 1 day, 8:58:26, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3730, top5_acc: 0.6336, loss_cls: 5.1302, loss: 5.1302 +2024-01-02 05:35:37,218 - pyskl - INFO - Epoch [100][2600/3746] lr: 2.528e-02, eta: 1 day, 8:57:15, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3645, top5_acc: 0.6259, loss_cls: 5.1816, loss: 5.1816 +2024-01-02 05:36:36,630 - pyskl - INFO - Epoch [100][2700/3746] lr: 2.525e-02, eta: 1 day, 8:56:04, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3708, top5_acc: 0.6239, loss_cls: 5.1494, loss: 5.1494 +2024-01-02 05:37:35,965 - pyskl - INFO - Epoch [100][2800/3746] lr: 2.523e-02, eta: 1 day, 8:54:53, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3661, top5_acc: 0.6275, loss_cls: 5.1467, loss: 5.1467 +2024-01-02 05:38:35,426 - pyskl - INFO - Epoch [100][2900/3746] lr: 2.521e-02, eta: 1 day, 8:53:43, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3773, top5_acc: 0.6403, loss_cls: 5.1162, loss: 5.1162 +2024-01-02 05:39:34,811 - pyskl - INFO - Epoch [100][3000/3746] lr: 2.518e-02, eta: 1 day, 8:52:32, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3708, top5_acc: 0.6258, loss_cls: 5.1476, loss: 5.1476 +2024-01-02 05:40:34,311 - pyskl - INFO - Epoch [100][3100/3746] lr: 2.516e-02, eta: 1 day, 8:51:21, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3614, top5_acc: 0.6314, loss_cls: 5.1471, loss: 5.1471 +2024-01-02 05:41:33,586 - pyskl - INFO - Epoch [100][3200/3746] lr: 2.513e-02, eta: 1 day, 8:50:10, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3755, top5_acc: 0.6338, loss_cls: 5.1355, loss: 5.1355 +2024-01-02 05:42:33,056 - pyskl - INFO - Epoch [100][3300/3746] lr: 2.511e-02, eta: 1 day, 8:49:00, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3727, top5_acc: 0.6448, loss_cls: 5.1089, loss: 5.1089 +2024-01-02 05:43:33,108 - pyskl - INFO - Epoch [100][3400/3746] lr: 2.508e-02, eta: 1 day, 8:47:51, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3741, top5_acc: 0.6345, loss_cls: 5.1463, loss: 5.1463 +2024-01-02 05:44:33,242 - pyskl - INFO - Epoch [100][3500/3746] lr: 2.506e-02, eta: 1 day, 8:46:42, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3664, top5_acc: 0.6312, loss_cls: 5.1620, loss: 5.1620 +2024-01-02 05:45:32,447 - pyskl - INFO - Epoch [100][3600/3746] lr: 2.504e-02, eta: 1 day, 8:45:31, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3623, top5_acc: 0.6262, loss_cls: 5.1721, loss: 5.1721 +2024-01-02 05:46:32,221 - pyskl - INFO - Epoch [100][3700/3746] lr: 2.501e-02, eta: 1 day, 8:44:21, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3650, top5_acc: 0.6231, loss_cls: 5.1828, loss: 5.1828 +2024-01-02 05:47:02,378 - pyskl - INFO - Saving checkpoint at 100 epochs +2024-01-02 05:49:02,562 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 05:49:03,400 - pyskl - INFO - +top1_acc 0.3087 +top5_acc 0.5645 +2024-01-02 05:49:03,400 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 05:49:03,436 - pyskl - INFO - +mean_acc 0.3083 +2024-01-02 05:49:03,443 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_97.pth was removed +2024-01-02 05:49:03,703 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_100.pth. +2024-01-02 05:49:03,704 - pyskl - INFO - Best top1_acc is 0.3087 at 100 epoch. +2024-01-02 05:49:03,713 - pyskl - INFO - Epoch(val) [100][309] top1_acc: 0.3087, top5_acc: 0.5645, mean_class_accuracy: 0.3083 +2024-01-02 05:52:19,359 - pyskl - INFO - Epoch [101][100/3746] lr: 2.498e-02, eta: 1 day, 8:46:34, time: 1.956, data_time: 1.362, memory: 16180, top1_acc: 0.3880, top5_acc: 0.6595, loss_cls: 5.0327, loss: 5.0327 +2024-01-02 05:53:18,856 - pyskl - INFO - Epoch [101][200/3746] lr: 2.495e-02, eta: 1 day, 8:45:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3852, top5_acc: 0.6544, loss_cls: 5.0458, loss: 5.0458 +2024-01-02 05:54:18,624 - pyskl - INFO - Epoch [101][300/3746] lr: 2.493e-02, eta: 1 day, 8:44:13, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3872, top5_acc: 0.6447, loss_cls: 5.0592, loss: 5.0592 +2024-01-02 05:55:17,868 - pyskl - INFO - Epoch [101][400/3746] lr: 2.490e-02, eta: 1 day, 8:43:02, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3767, top5_acc: 0.6347, loss_cls: 5.1026, loss: 5.1026 +2024-01-02 05:56:17,061 - pyskl - INFO - Epoch [101][500/3746] lr: 2.488e-02, eta: 1 day, 8:41:51, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3645, top5_acc: 0.6339, loss_cls: 5.1313, loss: 5.1313 +2024-01-02 05:57:16,380 - pyskl - INFO - Epoch [101][600/3746] lr: 2.486e-02, eta: 1 day, 8:40:40, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3780, top5_acc: 0.6356, loss_cls: 5.1071, loss: 5.1071 +2024-01-02 05:58:16,012 - pyskl - INFO - Epoch [101][700/3746] lr: 2.483e-02, eta: 1 day, 8:39:30, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3802, top5_acc: 0.6467, loss_cls: 5.0961, loss: 5.0961 +2024-01-02 05:59:15,987 - pyskl - INFO - Epoch [101][800/3746] lr: 2.481e-02, eta: 1 day, 8:38:20, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3723, top5_acc: 0.6389, loss_cls: 5.1097, loss: 5.1097 +2024-01-02 06:00:16,339 - pyskl - INFO - Epoch [101][900/3746] lr: 2.478e-02, eta: 1 day, 8:37:12, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3811, top5_acc: 0.6380, loss_cls: 5.1275, loss: 5.1275 +2024-01-02 06:01:15,734 - pyskl - INFO - Epoch [101][1000/3746] lr: 2.476e-02, eta: 1 day, 8:36:01, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3683, top5_acc: 0.6300, loss_cls: 5.1410, loss: 5.1410 +2024-01-02 06:02:15,377 - pyskl - INFO - Epoch [101][1100/3746] lr: 2.473e-02, eta: 1 day, 8:34:51, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3723, top5_acc: 0.6341, loss_cls: 5.1177, loss: 5.1177 +2024-01-02 06:03:14,886 - pyskl - INFO - Epoch [101][1200/3746] lr: 2.471e-02, eta: 1 day, 8:33:40, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3780, top5_acc: 0.6439, loss_cls: 5.0808, loss: 5.0808 +2024-01-02 06:04:14,129 - pyskl - INFO - Epoch [101][1300/3746] lr: 2.469e-02, eta: 1 day, 8:32:29, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3783, top5_acc: 0.6366, loss_cls: 5.1013, loss: 5.1013 +2024-01-02 06:05:13,486 - pyskl - INFO - Epoch [101][1400/3746] lr: 2.466e-02, eta: 1 day, 8:31:19, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3767, top5_acc: 0.6373, loss_cls: 5.0722, loss: 5.0722 +2024-01-02 06:06:12,786 - pyskl - INFO - Epoch [101][1500/3746] lr: 2.464e-02, eta: 1 day, 8:30:08, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3719, top5_acc: 0.6467, loss_cls: 5.0738, loss: 5.0738 +2024-01-02 06:07:12,302 - pyskl - INFO - Epoch [101][1600/3746] lr: 2.461e-02, eta: 1 day, 8:28:58, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3644, top5_acc: 0.6242, loss_cls: 5.1711, loss: 5.1711 +2024-01-02 06:08:11,916 - pyskl - INFO - Epoch [101][1700/3746] lr: 2.459e-02, eta: 1 day, 8:27:47, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3709, top5_acc: 0.6397, loss_cls: 5.0815, loss: 5.0815 +2024-01-02 06:09:11,416 - pyskl - INFO - Epoch [101][1800/3746] lr: 2.457e-02, eta: 1 day, 8:26:37, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3691, top5_acc: 0.6331, loss_cls: 5.1453, loss: 5.1453 +2024-01-02 06:10:11,079 - pyskl - INFO - Epoch [101][1900/3746] lr: 2.454e-02, eta: 1 day, 8:25:27, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3652, top5_acc: 0.6378, loss_cls: 5.1224, loss: 5.1224 +2024-01-02 06:11:10,860 - pyskl - INFO - Epoch [101][2000/3746] lr: 2.452e-02, eta: 1 day, 8:24:18, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3716, top5_acc: 0.6405, loss_cls: 5.1047, loss: 5.1047 +2024-01-02 06:12:10,992 - pyskl - INFO - Epoch [101][2100/3746] lr: 2.449e-02, eta: 1 day, 8:23:09, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3656, top5_acc: 0.6302, loss_cls: 5.1513, loss: 5.1513 +2024-01-02 06:13:11,071 - pyskl - INFO - Epoch [101][2200/3746] lr: 2.447e-02, eta: 1 day, 8:22:00, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3702, top5_acc: 0.6317, loss_cls: 5.1508, loss: 5.1508 +2024-01-02 06:14:11,518 - pyskl - INFO - Epoch [101][2300/3746] lr: 2.445e-02, eta: 1 day, 8:20:52, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3648, top5_acc: 0.6341, loss_cls: 5.1407, loss: 5.1407 +2024-01-02 06:15:11,229 - pyskl - INFO - Epoch [101][2400/3746] lr: 2.442e-02, eta: 1 day, 8:19:42, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3677, top5_acc: 0.6244, loss_cls: 5.1540, loss: 5.1540 +2024-01-02 06:16:10,495 - pyskl - INFO - Epoch [101][2500/3746] lr: 2.440e-02, eta: 1 day, 8:18:31, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3731, top5_acc: 0.6400, loss_cls: 5.1315, loss: 5.1315 +2024-01-02 06:17:10,032 - pyskl - INFO - Epoch [101][2600/3746] lr: 2.437e-02, eta: 1 day, 8:17:21, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3756, top5_acc: 0.6366, loss_cls: 5.1160, loss: 5.1160 +2024-01-02 06:18:09,787 - pyskl - INFO - Epoch [101][2700/3746] lr: 2.435e-02, eta: 1 day, 8:16:12, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3534, top5_acc: 0.6212, loss_cls: 5.1900, loss: 5.1900 +2024-01-02 06:19:09,398 - pyskl - INFO - Epoch [101][2800/3746] lr: 2.433e-02, eta: 1 day, 8:15:02, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3739, top5_acc: 0.6280, loss_cls: 5.1544, loss: 5.1544 +2024-01-02 06:20:09,038 - pyskl - INFO - Epoch [101][2900/3746] lr: 2.430e-02, eta: 1 day, 8:13:52, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3663, top5_acc: 0.6317, loss_cls: 5.1578, loss: 5.1578 +2024-01-02 06:21:08,734 - pyskl - INFO - Epoch [101][3000/3746] lr: 2.428e-02, eta: 1 day, 8:12:43, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3828, top5_acc: 0.6511, loss_cls: 5.0542, loss: 5.0542 +2024-01-02 06:22:09,077 - pyskl - INFO - Epoch [101][3100/3746] lr: 2.425e-02, eta: 1 day, 8:11:34, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3614, top5_acc: 0.6222, loss_cls: 5.1724, loss: 5.1724 +2024-01-02 06:23:08,618 - pyskl - INFO - Epoch [101][3200/3746] lr: 2.423e-02, eta: 1 day, 8:10:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3716, top5_acc: 0.6422, loss_cls: 5.1099, loss: 5.1099 +2024-01-02 06:24:08,652 - pyskl - INFO - Epoch [101][3300/3746] lr: 2.421e-02, eta: 1 day, 8:09:16, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3672, top5_acc: 0.6327, loss_cls: 5.1453, loss: 5.1453 +2024-01-02 06:25:09,029 - pyskl - INFO - Epoch [101][3400/3746] lr: 2.418e-02, eta: 1 day, 8:08:07, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3663, top5_acc: 0.6269, loss_cls: 5.1506, loss: 5.1506 +2024-01-02 06:26:09,238 - pyskl - INFO - Epoch [101][3500/3746] lr: 2.416e-02, eta: 1 day, 8:06:59, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3628, top5_acc: 0.6197, loss_cls: 5.1887, loss: 5.1887 +2024-01-02 06:27:08,632 - pyskl - INFO - Epoch [101][3600/3746] lr: 2.413e-02, eta: 1 day, 8:05:49, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3595, top5_acc: 0.6225, loss_cls: 5.1998, loss: 5.1998 +2024-01-02 06:28:08,370 - pyskl - INFO - Epoch [101][3700/3746] lr: 2.411e-02, eta: 1 day, 8:04:40, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3683, top5_acc: 0.6375, loss_cls: 5.1272, loss: 5.1272 +2024-01-02 06:28:38,916 - pyskl - INFO - Saving checkpoint at 101 epochs +2024-01-02 06:30:36,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 06:30:37,542 - pyskl - INFO - +top1_acc 0.3020 +top5_acc 0.5569 +2024-01-02 06:30:37,542 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 06:30:37,578 - pyskl - INFO - +mean_acc 0.3019 +2024-01-02 06:30:37,586 - pyskl - INFO - Epoch(val) [101][309] top1_acc: 0.3020, top5_acc: 0.5569, mean_class_accuracy: 0.3019 +2024-01-02 06:33:54,200 - pyskl - INFO - Epoch [102][100/3746] lr: 2.407e-02, eta: 1 day, 8:06:41, time: 1.966, data_time: 1.369, memory: 16180, top1_acc: 0.3850, top5_acc: 0.6477, loss_cls: 5.0382, loss: 5.0382 +2024-01-02 06:34:53,739 - pyskl - INFO - Epoch [102][200/3746] lr: 2.405e-02, eta: 1 day, 8:05:31, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3842, top5_acc: 0.6430, loss_cls: 5.0725, loss: 5.0725 +2024-01-02 06:35:53,257 - pyskl - INFO - Epoch [102][300/3746] lr: 2.403e-02, eta: 1 day, 8:04:21, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3923, top5_acc: 0.6489, loss_cls: 5.0548, loss: 5.0548 +2024-01-02 06:36:52,716 - pyskl - INFO - Epoch [102][400/3746] lr: 2.400e-02, eta: 1 day, 8:03:11, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3762, top5_acc: 0.6408, loss_cls: 5.0845, loss: 5.0845 +2024-01-02 06:37:52,154 - pyskl - INFO - Epoch [102][500/3746] lr: 2.398e-02, eta: 1 day, 8:02:01, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3819, top5_acc: 0.6433, loss_cls: 5.0693, loss: 5.0693 +2024-01-02 06:38:51,601 - pyskl - INFO - Epoch [102][600/3746] lr: 2.396e-02, eta: 1 day, 8:00:50, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3944, top5_acc: 0.6503, loss_cls: 5.0298, loss: 5.0298 +2024-01-02 06:39:51,127 - pyskl - INFO - Epoch [102][700/3746] lr: 2.393e-02, eta: 1 day, 7:59:40, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3739, top5_acc: 0.6370, loss_cls: 5.1237, loss: 5.1237 +2024-01-02 06:40:51,283 - pyskl - INFO - Epoch [102][800/3746] lr: 2.391e-02, eta: 1 day, 7:58:32, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3855, top5_acc: 0.6494, loss_cls: 5.0459, loss: 5.0459 +2024-01-02 06:41:51,663 - pyskl - INFO - Epoch [102][900/3746] lr: 2.388e-02, eta: 1 day, 7:57:24, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3742, top5_acc: 0.6384, loss_cls: 5.1058, loss: 5.1058 +2024-01-02 06:42:50,902 - pyskl - INFO - Epoch [102][1000/3746] lr: 2.386e-02, eta: 1 day, 7:56:13, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3739, top5_acc: 0.6411, loss_cls: 5.0963, loss: 5.0963 +2024-01-02 06:43:50,760 - pyskl - INFO - Epoch [102][1100/3746] lr: 2.384e-02, eta: 1 day, 7:55:04, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3648, top5_acc: 0.6323, loss_cls: 5.1364, loss: 5.1364 +2024-01-02 06:44:50,098 - pyskl - INFO - Epoch [102][1200/3746] lr: 2.381e-02, eta: 1 day, 7:53:54, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3689, top5_acc: 0.6350, loss_cls: 5.1102, loss: 5.1102 +2024-01-02 06:45:49,200 - pyskl - INFO - Epoch [102][1300/3746] lr: 2.379e-02, eta: 1 day, 7:52:43, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3883, top5_acc: 0.6481, loss_cls: 5.0635, loss: 5.0635 +2024-01-02 06:46:48,455 - pyskl - INFO - Epoch [102][1400/3746] lr: 2.376e-02, eta: 1 day, 7:51:32, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3683, top5_acc: 0.6320, loss_cls: 5.1339, loss: 5.1339 +2024-01-02 06:47:47,771 - pyskl - INFO - Epoch [102][1500/3746] lr: 2.374e-02, eta: 1 day, 7:50:22, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3711, top5_acc: 0.6372, loss_cls: 5.1268, loss: 5.1268 +2024-01-02 06:48:47,254 - pyskl - INFO - Epoch [102][1600/3746] lr: 2.372e-02, eta: 1 day, 7:49:12, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3720, top5_acc: 0.6319, loss_cls: 5.1019, loss: 5.1019 +2024-01-02 06:49:46,991 - pyskl - INFO - Epoch [102][1700/3746] lr: 2.369e-02, eta: 1 day, 7:48:03, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3816, top5_acc: 0.6408, loss_cls: 5.0943, loss: 5.0943 +2024-01-02 06:50:46,274 - pyskl - INFO - Epoch [102][1800/3746] lr: 2.367e-02, eta: 1 day, 7:46:53, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3727, top5_acc: 0.6328, loss_cls: 5.1434, loss: 5.1434 +2024-01-02 06:51:46,181 - pyskl - INFO - Epoch [102][1900/3746] lr: 2.365e-02, eta: 1 day, 7:45:44, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3734, top5_acc: 0.6375, loss_cls: 5.1004, loss: 5.1004 +2024-01-02 06:52:45,548 - pyskl - INFO - Epoch [102][2000/3746] lr: 2.362e-02, eta: 1 day, 7:44:34, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3819, top5_acc: 0.6562, loss_cls: 5.0640, loss: 5.0640 +2024-01-02 06:53:45,092 - pyskl - INFO - Epoch [102][2100/3746] lr: 2.360e-02, eta: 1 day, 7:43:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3688, top5_acc: 0.6381, loss_cls: 5.1134, loss: 5.1134 +2024-01-02 06:54:44,651 - pyskl - INFO - Epoch [102][2200/3746] lr: 2.357e-02, eta: 1 day, 7:42:15, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3686, top5_acc: 0.6316, loss_cls: 5.1363, loss: 5.1363 +2024-01-02 06:55:44,084 - pyskl - INFO - Epoch [102][2300/3746] lr: 2.355e-02, eta: 1 day, 7:41:05, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3720, top5_acc: 0.6344, loss_cls: 5.1296, loss: 5.1296 +2024-01-02 06:56:43,589 - pyskl - INFO - Epoch [102][2400/3746] lr: 2.353e-02, eta: 1 day, 7:39:55, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3816, top5_acc: 0.6408, loss_cls: 5.0938, loss: 5.0938 +2024-01-02 06:57:42,917 - pyskl - INFO - Epoch [102][2500/3746] lr: 2.350e-02, eta: 1 day, 7:38:45, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3659, top5_acc: 0.6309, loss_cls: 5.1567, loss: 5.1567 +2024-01-02 06:58:42,313 - pyskl - INFO - Epoch [102][2600/3746] lr: 2.348e-02, eta: 1 day, 7:37:35, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3697, top5_acc: 0.6352, loss_cls: 5.1252, loss: 5.1252 +2024-01-02 06:59:41,789 - pyskl - INFO - Epoch [102][2700/3746] lr: 2.346e-02, eta: 1 day, 7:36:26, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3636, top5_acc: 0.6264, loss_cls: 5.1713, loss: 5.1713 +2024-01-02 07:00:41,414 - pyskl - INFO - Epoch [102][2800/3746] lr: 2.343e-02, eta: 1 day, 7:35:16, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3692, top5_acc: 0.6286, loss_cls: 5.1308, loss: 5.1308 +2024-01-02 07:01:40,827 - pyskl - INFO - Epoch [102][2900/3746] lr: 2.341e-02, eta: 1 day, 7:34:07, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3709, top5_acc: 0.6367, loss_cls: 5.1243, loss: 5.1243 +2024-01-02 07:02:40,416 - pyskl - INFO - Epoch [102][3000/3746] lr: 2.339e-02, eta: 1 day, 7:32:57, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3756, top5_acc: 0.6459, loss_cls: 5.0974, loss: 5.0974 +2024-01-02 07:03:39,872 - pyskl - INFO - Epoch [102][3100/3746] lr: 2.336e-02, eta: 1 day, 7:31:48, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3691, top5_acc: 0.6348, loss_cls: 5.1072, loss: 5.1072 +2024-01-02 07:04:39,293 - pyskl - INFO - Epoch [102][3200/3746] lr: 2.334e-02, eta: 1 day, 7:30:38, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3727, top5_acc: 0.6300, loss_cls: 5.1389, loss: 5.1389 +2024-01-02 07:05:38,773 - pyskl - INFO - Epoch [102][3300/3746] lr: 2.331e-02, eta: 1 day, 7:29:28, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3723, top5_acc: 0.6427, loss_cls: 5.0948, loss: 5.0948 +2024-01-02 07:06:38,967 - pyskl - INFO - Epoch [102][3400/3746] lr: 2.329e-02, eta: 1 day, 7:28:20, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3777, top5_acc: 0.6347, loss_cls: 5.1189, loss: 5.1189 +2024-01-02 07:07:39,971 - pyskl - INFO - Epoch [102][3500/3746] lr: 2.327e-02, eta: 1 day, 7:27:14, time: 0.610, data_time: 0.000, memory: 16180, top1_acc: 0.3722, top5_acc: 0.6380, loss_cls: 5.1155, loss: 5.1155 +2024-01-02 07:08:39,450 - pyskl - INFO - Epoch [102][3600/3746] lr: 2.324e-02, eta: 1 day, 7:26:04, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3811, top5_acc: 0.6388, loss_cls: 5.0950, loss: 5.0950 +2024-01-02 07:09:39,450 - pyskl - INFO - Epoch [102][3700/3746] lr: 2.322e-02, eta: 1 day, 7:24:56, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3752, top5_acc: 0.6367, loss_cls: 5.1173, loss: 5.1173 +2024-01-02 07:10:10,046 - pyskl - INFO - Saving checkpoint at 102 epochs +2024-01-02 07:12:07,596 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 07:12:08,459 - pyskl - INFO - +top1_acc 0.3030 +top5_acc 0.5582 +2024-01-02 07:12:08,459 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 07:12:08,494 - pyskl - INFO - +mean_acc 0.3029 +2024-01-02 07:12:08,501 - pyskl - INFO - Epoch(val) [102][309] top1_acc: 0.3030, top5_acc: 0.5582, mean_class_accuracy: 0.3029 +2024-01-02 07:15:24,802 - pyskl - INFO - Epoch [103][100/3746] lr: 2.319e-02, eta: 1 day, 7:26:44, time: 1.963, data_time: 1.368, memory: 16180, top1_acc: 0.3856, top5_acc: 0.6470, loss_cls: 5.0324, loss: 5.0324 +2024-01-02 07:16:23,885 - pyskl - INFO - Epoch [103][200/3746] lr: 2.316e-02, eta: 1 day, 7:25:34, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3909, top5_acc: 0.6384, loss_cls: 5.0835, loss: 5.0835 +2024-01-02 07:17:23,235 - pyskl - INFO - Epoch [103][300/3746] lr: 2.314e-02, eta: 1 day, 7:24:24, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3780, top5_acc: 0.6492, loss_cls: 5.0668, loss: 5.0668 +2024-01-02 07:18:23,236 - pyskl - INFO - Epoch [103][400/3746] lr: 2.311e-02, eta: 1 day, 7:23:15, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3705, top5_acc: 0.6330, loss_cls: 5.1107, loss: 5.1107 +2024-01-02 07:19:23,342 - pyskl - INFO - Epoch [103][500/3746] lr: 2.309e-02, eta: 1 day, 7:22:07, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3853, top5_acc: 0.6442, loss_cls: 5.0651, loss: 5.0651 +2024-01-02 07:20:23,842 - pyskl - INFO - Epoch [103][600/3746] lr: 2.307e-02, eta: 1 day, 7:20:59, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3794, top5_acc: 0.6433, loss_cls: 5.0772, loss: 5.0772 +2024-01-02 07:21:24,135 - pyskl - INFO - Epoch [103][700/3746] lr: 2.304e-02, eta: 1 day, 7:19:51, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3795, top5_acc: 0.6355, loss_cls: 5.0783, loss: 5.0783 +2024-01-02 07:22:23,808 - pyskl - INFO - Epoch [103][800/3746] lr: 2.302e-02, eta: 1 day, 7:18:42, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3792, top5_acc: 0.6419, loss_cls: 5.0769, loss: 5.0769 +2024-01-02 07:23:23,790 - pyskl - INFO - Epoch [103][900/3746] lr: 2.300e-02, eta: 1 day, 7:17:33, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3689, top5_acc: 0.6377, loss_cls: 5.1140, loss: 5.1140 +2024-01-02 07:24:23,656 - pyskl - INFO - Epoch [103][1000/3746] lr: 2.297e-02, eta: 1 day, 7:16:24, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3723, top5_acc: 0.6497, loss_cls: 5.0758, loss: 5.0758 +2024-01-02 07:25:23,046 - pyskl - INFO - Epoch [103][1100/3746] lr: 2.295e-02, eta: 1 day, 7:15:15, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3748, top5_acc: 0.6431, loss_cls: 5.1004, loss: 5.1004 +2024-01-02 07:26:22,572 - pyskl - INFO - Epoch [103][1200/3746] lr: 2.293e-02, eta: 1 day, 7:14:05, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3819, top5_acc: 0.6406, loss_cls: 5.0742, loss: 5.0742 +2024-01-02 07:27:22,340 - pyskl - INFO - Epoch [103][1300/3746] lr: 2.290e-02, eta: 1 day, 7:12:56, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3738, top5_acc: 0.6486, loss_cls: 5.0810, loss: 5.0810 +2024-01-02 07:28:21,722 - pyskl - INFO - Epoch [103][1400/3746] lr: 2.288e-02, eta: 1 day, 7:11:47, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3864, top5_acc: 0.6452, loss_cls: 5.0586, loss: 5.0586 +2024-01-02 07:29:21,424 - pyskl - INFO - Epoch [103][1500/3746] lr: 2.286e-02, eta: 1 day, 7:10:38, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3659, top5_acc: 0.6380, loss_cls: 5.1217, loss: 5.1217 +2024-01-02 07:30:21,192 - pyskl - INFO - Epoch [103][1600/3746] lr: 2.283e-02, eta: 1 day, 7:09:29, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3761, top5_acc: 0.6509, loss_cls: 5.0555, loss: 5.0555 +2024-01-02 07:31:20,737 - pyskl - INFO - Epoch [103][1700/3746] lr: 2.281e-02, eta: 1 day, 7:08:19, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3823, top5_acc: 0.6406, loss_cls: 5.0929, loss: 5.0929 +2024-01-02 07:32:20,192 - pyskl - INFO - Epoch [103][1800/3746] lr: 2.279e-02, eta: 1 day, 7:07:10, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3709, top5_acc: 0.6345, loss_cls: 5.1009, loss: 5.1009 +2024-01-02 07:33:19,912 - pyskl - INFO - Epoch [103][1900/3746] lr: 2.276e-02, eta: 1 day, 7:06:01, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3784, top5_acc: 0.6484, loss_cls: 5.0513, loss: 5.0513 +2024-01-02 07:34:19,343 - pyskl - INFO - Epoch [103][2000/3746] lr: 2.274e-02, eta: 1 day, 7:04:52, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3739, top5_acc: 0.6461, loss_cls: 5.0955, loss: 5.0955 +2024-01-02 07:35:19,679 - pyskl - INFO - Epoch [103][2100/3746] lr: 2.272e-02, eta: 1 day, 7:03:44, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3742, top5_acc: 0.6442, loss_cls: 5.0850, loss: 5.0850 +2024-01-02 07:36:18,934 - pyskl - INFO - Epoch [103][2200/3746] lr: 2.269e-02, eta: 1 day, 7:02:34, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3842, top5_acc: 0.6444, loss_cls: 5.0738, loss: 5.0738 +2024-01-02 07:37:19,002 - pyskl - INFO - Epoch [103][2300/3746] lr: 2.267e-02, eta: 1 day, 7:01:26, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3789, top5_acc: 0.6355, loss_cls: 5.1052, loss: 5.1052 +2024-01-02 07:38:19,120 - pyskl - INFO - Epoch [103][2400/3746] lr: 2.264e-02, eta: 1 day, 7:00:18, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3758, top5_acc: 0.6403, loss_cls: 5.1064, loss: 5.1064 +2024-01-02 07:39:18,529 - pyskl - INFO - Epoch [103][2500/3746] lr: 2.262e-02, eta: 1 day, 6:59:08, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3847, top5_acc: 0.6408, loss_cls: 5.0747, loss: 5.0747 +2024-01-02 07:40:18,154 - pyskl - INFO - Epoch [103][2600/3746] lr: 2.260e-02, eta: 1 day, 6:57:59, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3681, top5_acc: 0.6406, loss_cls: 5.1045, loss: 5.1045 +2024-01-02 07:41:18,210 - pyskl - INFO - Epoch [103][2700/3746] lr: 2.257e-02, eta: 1 day, 6:56:51, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3789, top5_acc: 0.6414, loss_cls: 5.1089, loss: 5.1089 +2024-01-02 07:42:17,430 - pyskl - INFO - Epoch [103][2800/3746] lr: 2.255e-02, eta: 1 day, 6:55:42, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3666, top5_acc: 0.6295, loss_cls: 5.1537, loss: 5.1537 +2024-01-02 07:43:17,055 - pyskl - INFO - Epoch [103][2900/3746] lr: 2.253e-02, eta: 1 day, 6:54:33, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3873, top5_acc: 0.6533, loss_cls: 5.0460, loss: 5.0460 +2024-01-02 07:44:16,302 - pyskl - INFO - Epoch [103][3000/3746] lr: 2.250e-02, eta: 1 day, 6:53:23, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3781, top5_acc: 0.6450, loss_cls: 5.0899, loss: 5.0899 +2024-01-02 07:45:15,442 - pyskl - INFO - Epoch [103][3100/3746] lr: 2.248e-02, eta: 1 day, 6:52:13, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3773, top5_acc: 0.6394, loss_cls: 5.1047, loss: 5.1047 +2024-01-02 07:46:15,117 - pyskl - INFO - Epoch [103][3200/3746] lr: 2.246e-02, eta: 1 day, 6:51:05, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3884, top5_acc: 0.6475, loss_cls: 5.0463, loss: 5.0463 +2024-01-02 07:47:15,457 - pyskl - INFO - Epoch [103][3300/3746] lr: 2.243e-02, eta: 1 day, 6:49:57, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3714, top5_acc: 0.6402, loss_cls: 5.1411, loss: 5.1411 +2024-01-02 07:48:16,172 - pyskl - INFO - Epoch [103][3400/3746] lr: 2.241e-02, eta: 1 day, 6:48:50, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3794, top5_acc: 0.6389, loss_cls: 5.0931, loss: 5.0931 +2024-01-02 07:49:16,399 - pyskl - INFO - Epoch [103][3500/3746] lr: 2.239e-02, eta: 1 day, 6:47:43, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3747, top5_acc: 0.6445, loss_cls: 5.0959, loss: 5.0959 +2024-01-02 07:50:16,080 - pyskl - INFO - Epoch [103][3600/3746] lr: 2.236e-02, eta: 1 day, 6:46:34, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3764, top5_acc: 0.6292, loss_cls: 5.1119, loss: 5.1119 +2024-01-02 07:51:16,342 - pyskl - INFO - Epoch [103][3700/3746] lr: 2.234e-02, eta: 1 day, 6:45:26, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3759, top5_acc: 0.6319, loss_cls: 5.1182, loss: 5.1182 +2024-01-02 07:51:47,310 - pyskl - INFO - Saving checkpoint at 103 epochs +2024-01-02 07:53:44,638 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 07:53:45,694 - pyskl - INFO - +top1_acc 0.3212 +top5_acc 0.5771 +2024-01-02 07:53:45,694 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 07:53:45,739 - pyskl - INFO - +mean_acc 0.3210 +2024-01-02 07:53:45,745 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_100.pth was removed +2024-01-02 07:53:46,035 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_103.pth. +2024-01-02 07:53:46,035 - pyskl - INFO - Best top1_acc is 0.3212 at 103 epoch. +2024-01-02 07:53:46,051 - pyskl - INFO - Epoch(val) [103][309] top1_acc: 0.3212, top5_acc: 0.5771, mean_class_accuracy: 0.3210 +2024-01-02 07:57:05,029 - pyskl - INFO - Epoch [104][100/3746] lr: 2.231e-02, eta: 1 day, 6:47:08, time: 1.990, data_time: 1.391, memory: 16180, top1_acc: 0.3966, top5_acc: 0.6548, loss_cls: 5.0192, loss: 5.0192 +2024-01-02 07:58:04,611 - pyskl - INFO - Epoch [104][200/3746] lr: 2.228e-02, eta: 1 day, 6:45:59, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3944, top5_acc: 0.6636, loss_cls: 5.0085, loss: 5.0085 +2024-01-02 07:59:05,149 - pyskl - INFO - Epoch [104][300/3746] lr: 2.226e-02, eta: 1 day, 6:44:51, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.4016, top5_acc: 0.6586, loss_cls: 5.0004, loss: 5.0004 +2024-01-02 08:00:05,628 - pyskl - INFO - Epoch [104][400/3746] lr: 2.224e-02, eta: 1 day, 6:43:44, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3817, top5_acc: 0.6553, loss_cls: 5.0056, loss: 5.0056 +2024-01-02 08:01:06,111 - pyskl - INFO - Epoch [104][500/3746] lr: 2.221e-02, eta: 1 day, 6:42:36, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3686, top5_acc: 0.6384, loss_cls: 5.1226, loss: 5.1226 +2024-01-02 08:02:05,816 - pyskl - INFO - Epoch [104][600/3746] lr: 2.219e-02, eta: 1 day, 6:41:28, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3855, top5_acc: 0.6442, loss_cls: 5.0623, loss: 5.0623 +2024-01-02 08:03:05,224 - pyskl - INFO - Epoch [104][700/3746] lr: 2.217e-02, eta: 1 day, 6:40:18, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3928, top5_acc: 0.6531, loss_cls: 5.0050, loss: 5.0050 +2024-01-02 08:04:04,619 - pyskl - INFO - Epoch [104][800/3746] lr: 2.214e-02, eta: 1 day, 6:39:09, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3834, top5_acc: 0.6434, loss_cls: 5.0592, loss: 5.0592 +2024-01-02 08:05:04,771 - pyskl - INFO - Epoch [104][900/3746] lr: 2.212e-02, eta: 1 day, 6:38:01, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3828, top5_acc: 0.6397, loss_cls: 5.0766, loss: 5.0766 +2024-01-02 08:06:04,949 - pyskl - INFO - Epoch [104][1000/3746] lr: 2.210e-02, eta: 1 day, 6:36:53, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3816, top5_acc: 0.6500, loss_cls: 5.0470, loss: 5.0470 +2024-01-02 08:07:05,047 - pyskl - INFO - Epoch [104][1100/3746] lr: 2.208e-02, eta: 1 day, 6:35:45, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3794, top5_acc: 0.6466, loss_cls: 5.0843, loss: 5.0843 +2024-01-02 08:08:04,774 - pyskl - INFO - Epoch [104][1200/3746] lr: 2.205e-02, eta: 1 day, 6:34:36, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3717, top5_acc: 0.6395, loss_cls: 5.1084, loss: 5.1084 +2024-01-02 08:09:04,438 - pyskl - INFO - Epoch [104][1300/3746] lr: 2.203e-02, eta: 1 day, 6:33:28, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3748, top5_acc: 0.6314, loss_cls: 5.0952, loss: 5.0952 +2024-01-02 08:10:03,830 - pyskl - INFO - Epoch [104][1400/3746] lr: 2.201e-02, eta: 1 day, 6:32:18, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3867, top5_acc: 0.6466, loss_cls: 5.0620, loss: 5.0620 +2024-01-02 08:11:03,223 - pyskl - INFO - Epoch [104][1500/3746] lr: 2.198e-02, eta: 1 day, 6:31:09, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3613, top5_acc: 0.6389, loss_cls: 5.1145, loss: 5.1145 +2024-01-02 08:12:02,578 - pyskl - INFO - Epoch [104][1600/3746] lr: 2.196e-02, eta: 1 day, 6:30:00, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3912, top5_acc: 0.6517, loss_cls: 5.0367, loss: 5.0367 +2024-01-02 08:13:02,297 - pyskl - INFO - Epoch [104][1700/3746] lr: 2.194e-02, eta: 1 day, 6:28:51, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3814, top5_acc: 0.6386, loss_cls: 5.0833, loss: 5.0833 +2024-01-02 08:14:02,396 - pyskl - INFO - Epoch [104][1800/3746] lr: 2.191e-02, eta: 1 day, 6:27:43, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3755, top5_acc: 0.6416, loss_cls: 5.0816, loss: 5.0816 +2024-01-02 08:15:02,074 - pyskl - INFO - Epoch [104][1900/3746] lr: 2.189e-02, eta: 1 day, 6:26:35, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3770, top5_acc: 0.6484, loss_cls: 5.0838, loss: 5.0838 +2024-01-02 08:16:01,578 - pyskl - INFO - Epoch [104][2000/3746] lr: 2.187e-02, eta: 1 day, 6:25:26, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3714, top5_acc: 0.6377, loss_cls: 5.1196, loss: 5.1196 +2024-01-02 08:17:01,120 - pyskl - INFO - Epoch [104][2100/3746] lr: 2.184e-02, eta: 1 day, 6:24:17, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3720, top5_acc: 0.6461, loss_cls: 5.0921, loss: 5.0921 +2024-01-02 08:18:00,543 - pyskl - INFO - Epoch [104][2200/3746] lr: 2.182e-02, eta: 1 day, 6:23:08, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3750, top5_acc: 0.6467, loss_cls: 5.0850, loss: 5.0850 +2024-01-02 08:19:00,002 - pyskl - INFO - Epoch [104][2300/3746] lr: 2.180e-02, eta: 1 day, 6:21:59, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3756, top5_acc: 0.6383, loss_cls: 5.1225, loss: 5.1225 +2024-01-02 08:19:59,239 - pyskl - INFO - Epoch [104][2400/3746] lr: 2.177e-02, eta: 1 day, 6:20:50, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3883, top5_acc: 0.6475, loss_cls: 5.0634, loss: 5.0634 +2024-01-02 08:20:58,784 - pyskl - INFO - Epoch [104][2500/3746] lr: 2.175e-02, eta: 1 day, 6:19:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3908, top5_acc: 0.6520, loss_cls: 5.0340, loss: 5.0340 +2024-01-02 08:21:58,231 - pyskl - INFO - Epoch [104][2600/3746] lr: 2.173e-02, eta: 1 day, 6:18:32, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3795, top5_acc: 0.6438, loss_cls: 5.0963, loss: 5.0963 +2024-01-02 08:22:58,491 - pyskl - INFO - Epoch [104][2700/3746] lr: 2.171e-02, eta: 1 day, 6:17:25, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3752, top5_acc: 0.6450, loss_cls: 5.0833, loss: 5.0833 +2024-01-02 08:23:58,248 - pyskl - INFO - Epoch [104][2800/3746] lr: 2.168e-02, eta: 1 day, 6:16:16, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3864, top5_acc: 0.6511, loss_cls: 5.0527, loss: 5.0527 +2024-01-02 08:24:57,699 - pyskl - INFO - Epoch [104][2900/3746] lr: 2.166e-02, eta: 1 day, 6:15:07, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3877, top5_acc: 0.6522, loss_cls: 5.0421, loss: 5.0421 +2024-01-02 08:25:57,356 - pyskl - INFO - Epoch [104][3000/3746] lr: 2.164e-02, eta: 1 day, 6:13:59, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3848, top5_acc: 0.6398, loss_cls: 5.0851, loss: 5.0851 +2024-01-02 08:26:56,755 - pyskl - INFO - Epoch [104][3100/3746] lr: 2.161e-02, eta: 1 day, 6:12:50, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3758, top5_acc: 0.6381, loss_cls: 5.0962, loss: 5.0962 +2024-01-02 08:27:56,340 - pyskl - INFO - Epoch [104][3200/3746] lr: 2.159e-02, eta: 1 day, 6:11:41, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3777, top5_acc: 0.6459, loss_cls: 5.0794, loss: 5.0794 +2024-01-02 08:28:56,313 - pyskl - INFO - Epoch [104][3300/3746] lr: 2.157e-02, eta: 1 day, 6:10:34, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3677, top5_acc: 0.6414, loss_cls: 5.0957, loss: 5.0957 +2024-01-02 08:29:56,599 - pyskl - INFO - Epoch [104][3400/3746] lr: 2.154e-02, eta: 1 day, 6:09:26, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3792, top5_acc: 0.6541, loss_cls: 5.0763, loss: 5.0763 +2024-01-02 08:30:56,295 - pyskl - INFO - Epoch [104][3500/3746] lr: 2.152e-02, eta: 1 day, 6:08:18, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3780, top5_acc: 0.6391, loss_cls: 5.1011, loss: 5.1011 +2024-01-02 08:31:55,906 - pyskl - INFO - Epoch [104][3600/3746] lr: 2.150e-02, eta: 1 day, 6:07:09, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3772, top5_acc: 0.6416, loss_cls: 5.0919, loss: 5.0919 +2024-01-02 08:32:55,675 - pyskl - INFO - Epoch [104][3700/3746] lr: 2.148e-02, eta: 1 day, 6:06:01, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3825, top5_acc: 0.6508, loss_cls: 5.0496, loss: 5.0496 +2024-01-02 08:33:25,977 - pyskl - INFO - Saving checkpoint at 104 epochs +2024-01-02 08:35:20,823 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 08:35:21,612 - pyskl - INFO - +top1_acc 0.3122 +top5_acc 0.5727 +2024-01-02 08:35:21,613 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 08:35:21,645 - pyskl - INFO - +mean_acc 0.3118 +2024-01-02 08:35:21,653 - pyskl - INFO - Epoch(val) [104][309] top1_acc: 0.3122, top5_acc: 0.5727, mean_class_accuracy: 0.3118 +2024-01-02 08:38:41,393 - pyskl - INFO - Epoch [105][100/3746] lr: 2.144e-02, eta: 1 day, 6:07:33, time: 1.997, data_time: 1.403, memory: 16180, top1_acc: 0.3930, top5_acc: 0.6542, loss_cls: 5.0128, loss: 5.0128 +2024-01-02 08:39:40,937 - pyskl - INFO - Epoch [105][200/3746] lr: 2.142e-02, eta: 1 day, 6:06:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3895, top5_acc: 0.6527, loss_cls: 5.0167, loss: 5.0167 +2024-01-02 08:40:40,722 - pyskl - INFO - Epoch [105][300/3746] lr: 2.140e-02, eta: 1 day, 6:05:16, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3922, top5_acc: 0.6602, loss_cls: 5.0041, loss: 5.0041 +2024-01-02 08:41:41,005 - pyskl - INFO - Epoch [105][400/3746] lr: 2.137e-02, eta: 1 day, 6:04:08, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3897, top5_acc: 0.6581, loss_cls: 5.0311, loss: 5.0311 +2024-01-02 08:42:40,636 - pyskl - INFO - Epoch [105][500/3746] lr: 2.135e-02, eta: 1 day, 6:03:00, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3942, top5_acc: 0.6562, loss_cls: 5.0150, loss: 5.0150 +2024-01-02 08:43:40,041 - pyskl - INFO - Epoch [105][600/3746] lr: 2.133e-02, eta: 1 day, 6:01:51, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3716, top5_acc: 0.6381, loss_cls: 5.0902, loss: 5.0902 +2024-01-02 08:44:39,734 - pyskl - INFO - Epoch [105][700/3746] lr: 2.130e-02, eta: 1 day, 6:00:42, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3908, top5_acc: 0.6478, loss_cls: 5.0424, loss: 5.0424 +2024-01-02 08:45:39,169 - pyskl - INFO - Epoch [105][800/3746] lr: 2.128e-02, eta: 1 day, 5:59:33, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3766, top5_acc: 0.6494, loss_cls: 5.0711, loss: 5.0711 +2024-01-02 08:46:39,477 - pyskl - INFO - Epoch [105][900/3746] lr: 2.126e-02, eta: 1 day, 5:58:26, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3984, top5_acc: 0.6552, loss_cls: 5.0096, loss: 5.0096 +2024-01-02 08:47:39,867 - pyskl - INFO - Epoch [105][1000/3746] lr: 2.124e-02, eta: 1 day, 5:57:19, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3814, top5_acc: 0.6469, loss_cls: 5.0812, loss: 5.0812 +2024-01-02 08:48:39,492 - pyskl - INFO - Epoch [105][1100/3746] lr: 2.121e-02, eta: 1 day, 5:56:10, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3717, top5_acc: 0.6364, loss_cls: 5.1102, loss: 5.1102 +2024-01-02 08:49:39,006 - pyskl - INFO - Epoch [105][1200/3746] lr: 2.119e-02, eta: 1 day, 5:55:02, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3945, top5_acc: 0.6598, loss_cls: 4.9990, loss: 4.9990 +2024-01-02 08:50:38,502 - pyskl - INFO - Epoch [105][1300/3746] lr: 2.117e-02, eta: 1 day, 5:53:53, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3848, top5_acc: 0.6431, loss_cls: 5.0794, loss: 5.0794 +2024-01-02 08:51:37,856 - pyskl - INFO - Epoch [105][1400/3746] lr: 2.114e-02, eta: 1 day, 5:52:44, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3872, top5_acc: 0.6388, loss_cls: 5.0563, loss: 5.0563 +2024-01-02 08:52:37,153 - pyskl - INFO - Epoch [105][1500/3746] lr: 2.112e-02, eta: 1 day, 5:51:35, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3920, top5_acc: 0.6594, loss_cls: 5.0093, loss: 5.0093 +2024-01-02 08:53:36,426 - pyskl - INFO - Epoch [105][1600/3746] lr: 2.110e-02, eta: 1 day, 5:50:26, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3897, top5_acc: 0.6491, loss_cls: 5.0480, loss: 5.0480 +2024-01-02 08:54:36,179 - pyskl - INFO - Epoch [105][1700/3746] lr: 2.108e-02, eta: 1 day, 5:49:18, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3877, top5_acc: 0.6570, loss_cls: 5.0184, loss: 5.0184 +2024-01-02 08:55:35,664 - pyskl - INFO - Epoch [105][1800/3746] lr: 2.105e-02, eta: 1 day, 5:48:09, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3869, top5_acc: 0.6495, loss_cls: 5.0387, loss: 5.0387 +2024-01-02 08:56:35,184 - pyskl - INFO - Epoch [105][1900/3746] lr: 2.103e-02, eta: 1 day, 5:47:01, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3847, top5_acc: 0.6586, loss_cls: 5.0415, loss: 5.0415 +2024-01-02 08:57:34,973 - pyskl - INFO - Epoch [105][2000/3746] lr: 2.101e-02, eta: 1 day, 5:45:53, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3777, top5_acc: 0.6391, loss_cls: 5.1227, loss: 5.1227 +2024-01-02 08:58:34,575 - pyskl - INFO - Epoch [105][2100/3746] lr: 2.098e-02, eta: 1 day, 5:44:44, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3862, top5_acc: 0.6423, loss_cls: 5.0823, loss: 5.0823 +2024-01-02 08:59:34,277 - pyskl - INFO - Epoch [105][2200/3746] lr: 2.096e-02, eta: 1 day, 5:43:36, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3789, top5_acc: 0.6480, loss_cls: 5.0525, loss: 5.0525 +2024-01-02 09:00:33,709 - pyskl - INFO - Epoch [105][2300/3746] lr: 2.094e-02, eta: 1 day, 5:42:27, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3912, top5_acc: 0.6592, loss_cls: 5.0081, loss: 5.0081 +2024-01-02 09:01:33,297 - pyskl - INFO - Epoch [105][2400/3746] lr: 2.092e-02, eta: 1 day, 5:41:19, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3798, top5_acc: 0.6417, loss_cls: 5.0943, loss: 5.0943 +2024-01-02 09:02:32,887 - pyskl - INFO - Epoch [105][2500/3746] lr: 2.089e-02, eta: 1 day, 5:40:11, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3764, top5_acc: 0.6375, loss_cls: 5.1109, loss: 5.1109 +2024-01-02 09:03:32,395 - pyskl - INFO - Epoch [105][2600/3746] lr: 2.087e-02, eta: 1 day, 5:39:02, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3881, top5_acc: 0.6559, loss_cls: 5.0227, loss: 5.0227 +2024-01-02 09:04:31,741 - pyskl - INFO - Epoch [105][2700/3746] lr: 2.085e-02, eta: 1 day, 5:37:54, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3736, top5_acc: 0.6431, loss_cls: 5.0760, loss: 5.0760 +2024-01-02 09:05:31,074 - pyskl - INFO - Epoch [105][2800/3746] lr: 2.083e-02, eta: 1 day, 5:36:45, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3734, top5_acc: 0.6406, loss_cls: 5.0866, loss: 5.0866 +2024-01-02 09:06:30,332 - pyskl - INFO - Epoch [105][2900/3746] lr: 2.080e-02, eta: 1 day, 5:35:36, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3850, top5_acc: 0.6464, loss_cls: 5.0366, loss: 5.0366 +2024-01-02 09:07:29,832 - pyskl - INFO - Epoch [105][3000/3746] lr: 2.078e-02, eta: 1 day, 5:34:28, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3756, top5_acc: 0.6473, loss_cls: 5.0858, loss: 5.0858 +2024-01-02 09:08:29,335 - pyskl - INFO - Epoch [105][3100/3746] lr: 2.076e-02, eta: 1 day, 5:33:19, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3883, top5_acc: 0.6552, loss_cls: 5.0336, loss: 5.0336 +2024-01-02 09:09:28,816 - pyskl - INFO - Epoch [105][3200/3746] lr: 2.073e-02, eta: 1 day, 5:32:11, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3848, top5_acc: 0.6441, loss_cls: 5.0770, loss: 5.0770 +2024-01-02 09:10:28,754 - pyskl - INFO - Epoch [105][3300/3746] lr: 2.071e-02, eta: 1 day, 5:31:03, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3914, top5_acc: 0.6461, loss_cls: 5.0205, loss: 5.0205 +2024-01-02 09:11:29,421 - pyskl - INFO - Epoch [105][3400/3746] lr: 2.069e-02, eta: 1 day, 5:29:57, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.3784, top5_acc: 0.6423, loss_cls: 5.1054, loss: 5.1054 +2024-01-02 09:12:28,998 - pyskl - INFO - Epoch [105][3500/3746] lr: 2.067e-02, eta: 1 day, 5:28:49, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3714, top5_acc: 0.6356, loss_cls: 5.1028, loss: 5.1028 +2024-01-02 09:13:28,641 - pyskl - INFO - Epoch [105][3600/3746] lr: 2.064e-02, eta: 1 day, 5:27:41, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3939, top5_acc: 0.6523, loss_cls: 5.0139, loss: 5.0139 +2024-01-02 09:14:28,807 - pyskl - INFO - Epoch [105][3700/3746] lr: 2.062e-02, eta: 1 day, 5:26:33, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3806, top5_acc: 0.6458, loss_cls: 5.0501, loss: 5.0501 +2024-01-02 09:14:59,402 - pyskl - INFO - Saving checkpoint at 105 epochs +2024-01-02 09:16:57,374 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 09:16:58,422 - pyskl - INFO - +top1_acc 0.3246 +top5_acc 0.5871 +2024-01-02 09:16:58,423 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 09:16:58,461 - pyskl - INFO - +mean_acc 0.3242 +2024-01-02 09:16:58,467 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_103.pth was removed +2024-01-02 09:16:58,757 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. +2024-01-02 09:16:58,758 - pyskl - INFO - Best top1_acc is 0.3246 at 105 epoch. +2024-01-02 09:16:58,765 - pyskl - INFO - Epoch(val) [105][309] top1_acc: 0.3246, top5_acc: 0.5871, mean_class_accuracy: 0.3242 +2024-01-02 09:20:15,137 - pyskl - INFO - Epoch [106][100/3746] lr: 2.059e-02, eta: 1 day, 5:27:49, time: 1.964, data_time: 1.369, memory: 16180, top1_acc: 0.4002, top5_acc: 0.6623, loss_cls: 4.9908, loss: 4.9908 +2024-01-02 09:21:14,999 - pyskl - INFO - Epoch [106][200/3746] lr: 2.057e-02, eta: 1 day, 5:26:42, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3961, top5_acc: 0.6577, loss_cls: 4.9976, loss: 4.9976 +2024-01-02 09:22:14,481 - pyskl - INFO - Epoch [106][300/3746] lr: 2.054e-02, eta: 1 day, 5:25:33, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3883, top5_acc: 0.6559, loss_cls: 5.0296, loss: 5.0296 +2024-01-02 09:23:14,084 - pyskl - INFO - Epoch [106][400/3746] lr: 2.052e-02, eta: 1 day, 5:24:25, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3845, top5_acc: 0.6520, loss_cls: 5.0190, loss: 5.0190 +2024-01-02 09:24:14,020 - pyskl - INFO - Epoch [106][500/3746] lr: 2.050e-02, eta: 1 day, 5:23:17, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3877, top5_acc: 0.6589, loss_cls: 5.0105, loss: 5.0105 +2024-01-02 09:25:13,787 - pyskl - INFO - Epoch [106][600/3746] lr: 2.048e-02, eta: 1 day, 5:22:09, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3886, top5_acc: 0.6561, loss_cls: 5.0314, loss: 5.0314 +2024-01-02 09:26:13,416 - pyskl - INFO - Epoch [106][700/3746] lr: 2.045e-02, eta: 1 day, 5:21:01, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4062, top5_acc: 0.6598, loss_cls: 4.9814, loss: 4.9814 +2024-01-02 09:27:12,746 - pyskl - INFO - Epoch [106][800/3746] lr: 2.043e-02, eta: 1 day, 5:19:52, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3991, top5_acc: 0.6642, loss_cls: 4.9881, loss: 4.9881 +2024-01-02 09:28:12,144 - pyskl - INFO - Epoch [106][900/3746] lr: 2.041e-02, eta: 1 day, 5:18:43, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3886, top5_acc: 0.6562, loss_cls: 5.0037, loss: 5.0037 +2024-01-02 09:29:12,335 - pyskl - INFO - Epoch [106][1000/3746] lr: 2.039e-02, eta: 1 day, 5:17:36, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3866, top5_acc: 0.6516, loss_cls: 5.0448, loss: 5.0448 +2024-01-02 09:30:12,351 - pyskl - INFO - Epoch [106][1100/3746] lr: 2.036e-02, eta: 1 day, 5:16:29, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3916, top5_acc: 0.6520, loss_cls: 5.0078, loss: 5.0078 +2024-01-02 09:31:12,058 - pyskl - INFO - Epoch [106][1200/3746] lr: 2.034e-02, eta: 1 day, 5:15:21, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3931, top5_acc: 0.6547, loss_cls: 5.0171, loss: 5.0171 +2024-01-02 09:32:11,119 - pyskl - INFO - Epoch [106][1300/3746] lr: 2.032e-02, eta: 1 day, 5:14:12, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3886, top5_acc: 0.6545, loss_cls: 5.0371, loss: 5.0371 +2024-01-02 09:33:10,592 - pyskl - INFO - Epoch [106][1400/3746] lr: 2.030e-02, eta: 1 day, 5:13:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3898, top5_acc: 0.6577, loss_cls: 5.0003, loss: 5.0003 +2024-01-02 09:34:09,456 - pyskl - INFO - Epoch [106][1500/3746] lr: 2.027e-02, eta: 1 day, 5:11:54, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.3808, top5_acc: 0.6462, loss_cls: 5.0768, loss: 5.0768 +2024-01-02 09:35:08,578 - pyskl - INFO - Epoch [106][1600/3746] lr: 2.025e-02, eta: 1 day, 5:10:45, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3883, top5_acc: 0.6525, loss_cls: 5.0439, loss: 5.0439 +2024-01-02 09:36:07,477 - pyskl - INFO - Epoch [106][1700/3746] lr: 2.023e-02, eta: 1 day, 5:09:36, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.3809, top5_acc: 0.6431, loss_cls: 5.0657, loss: 5.0657 +2024-01-02 09:37:07,200 - pyskl - INFO - Epoch [106][1800/3746] lr: 2.021e-02, eta: 1 day, 5:08:28, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3848, top5_acc: 0.6536, loss_cls: 5.0298, loss: 5.0298 +2024-01-02 09:38:06,539 - pyskl - INFO - Epoch [106][1900/3746] lr: 2.018e-02, eta: 1 day, 5:07:20, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3825, top5_acc: 0.6512, loss_cls: 5.0424, loss: 5.0424 +2024-01-02 09:39:06,173 - pyskl - INFO - Epoch [106][2000/3746] lr: 2.016e-02, eta: 1 day, 5:06:12, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3936, top5_acc: 0.6609, loss_cls: 5.0014, loss: 5.0014 +2024-01-02 09:40:05,676 - pyskl - INFO - Epoch [106][2100/3746] lr: 2.014e-02, eta: 1 day, 5:05:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3856, top5_acc: 0.6500, loss_cls: 5.0537, loss: 5.0537 +2024-01-02 09:41:05,515 - pyskl - INFO - Epoch [106][2200/3746] lr: 2.012e-02, eta: 1 day, 5:03:56, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3834, top5_acc: 0.6444, loss_cls: 5.0765, loss: 5.0765 +2024-01-02 09:42:04,906 - pyskl - INFO - Epoch [106][2300/3746] lr: 2.009e-02, eta: 1 day, 5:02:47, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3817, top5_acc: 0.6550, loss_cls: 5.0380, loss: 5.0380 +2024-01-02 09:43:04,339 - pyskl - INFO - Epoch [106][2400/3746] lr: 2.007e-02, eta: 1 day, 5:01:39, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3834, top5_acc: 0.6470, loss_cls: 5.0461, loss: 5.0461 +2024-01-02 09:44:04,671 - pyskl - INFO - Epoch [106][2500/3746] lr: 2.005e-02, eta: 1 day, 5:00:32, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3897, top5_acc: 0.6428, loss_cls: 5.0659, loss: 5.0659 +2024-01-02 09:45:05,185 - pyskl - INFO - Epoch [106][2600/3746] lr: 2.003e-02, eta: 1 day, 4:59:26, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3956, top5_acc: 0.6522, loss_cls: 5.0167, loss: 5.0167 +2024-01-02 09:46:05,493 - pyskl - INFO - Epoch [106][2700/3746] lr: 2.000e-02, eta: 1 day, 4:58:19, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3883, top5_acc: 0.6538, loss_cls: 5.0324, loss: 5.0324 +2024-01-02 09:47:05,854 - pyskl - INFO - Epoch [106][2800/3746] lr: 1.998e-02, eta: 1 day, 4:57:12, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3852, top5_acc: 0.6478, loss_cls: 5.0638, loss: 5.0638 +2024-01-02 09:48:05,561 - pyskl - INFO - Epoch [106][2900/3746] lr: 1.996e-02, eta: 1 day, 4:56:04, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3867, top5_acc: 0.6405, loss_cls: 5.0581, loss: 5.0581 +2024-01-02 09:49:05,403 - pyskl - INFO - Epoch [106][3000/3746] lr: 1.994e-02, eta: 1 day, 4:54:57, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3880, top5_acc: 0.6450, loss_cls: 5.0367, loss: 5.0367 +2024-01-02 09:50:04,979 - pyskl - INFO - Epoch [106][3100/3746] lr: 1.991e-02, eta: 1 day, 4:53:49, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3920, top5_acc: 0.6605, loss_cls: 5.0153, loss: 5.0153 +2024-01-02 09:51:04,220 - pyskl - INFO - Epoch [106][3200/3746] lr: 1.989e-02, eta: 1 day, 4:52:40, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3791, top5_acc: 0.6417, loss_cls: 5.0642, loss: 5.0642 +2024-01-02 09:52:04,119 - pyskl - INFO - Epoch [106][3300/3746] lr: 1.987e-02, eta: 1 day, 4:51:33, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3853, top5_acc: 0.6452, loss_cls: 5.0617, loss: 5.0617 +2024-01-02 09:53:04,553 - pyskl - INFO - Epoch [106][3400/3746] lr: 1.985e-02, eta: 1 day, 4:50:26, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3817, top5_acc: 0.6411, loss_cls: 5.0957, loss: 5.0957 +2024-01-02 09:54:04,438 - pyskl - INFO - Epoch [106][3500/3746] lr: 1.983e-02, eta: 1 day, 4:49:19, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3892, top5_acc: 0.6478, loss_cls: 5.0403, loss: 5.0403 +2024-01-02 09:55:03,799 - pyskl - INFO - Epoch [106][3600/3746] lr: 1.980e-02, eta: 1 day, 4:48:11, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3825, top5_acc: 0.6481, loss_cls: 5.0588, loss: 5.0588 +2024-01-02 09:56:04,141 - pyskl - INFO - Epoch [106][3700/3746] lr: 1.978e-02, eta: 1 day, 4:47:04, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3822, top5_acc: 0.6545, loss_cls: 5.0380, loss: 5.0380 +2024-01-02 09:56:34,233 - pyskl - INFO - Saving checkpoint at 106 epochs +2024-01-02 09:58:31,470 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 09:58:32,392 - pyskl - INFO - +top1_acc 0.3313 +top5_acc 0.5847 +2024-01-02 09:58:32,392 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 09:58:32,425 - pyskl - INFO - +mean_acc 0.3310 +2024-01-02 09:58:32,430 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_105.pth was removed +2024-01-02 09:58:32,732 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_106.pth. +2024-01-02 09:58:32,732 - pyskl - INFO - Best top1_acc is 0.3313 at 106 epoch. +2024-01-02 09:58:32,740 - pyskl - INFO - Epoch(val) [106][309] top1_acc: 0.3313, top5_acc: 0.5847, mean_class_accuracy: 0.3310 +2024-01-02 10:01:50,324 - pyskl - INFO - Epoch [107][100/3746] lr: 1.975e-02, eta: 1 day, 4:48:13, time: 1.976, data_time: 1.381, memory: 16180, top1_acc: 0.4058, top5_acc: 0.6691, loss_cls: 4.9421, loss: 4.9421 +2024-01-02 10:02:49,824 - pyskl - INFO - Epoch [107][200/3746] lr: 1.973e-02, eta: 1 day, 4:47:05, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3883, top5_acc: 0.6633, loss_cls: 4.9839, loss: 4.9839 +2024-01-02 10:03:49,287 - pyskl - INFO - Epoch [107][300/3746] lr: 1.970e-02, eta: 1 day, 4:45:56, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4059, top5_acc: 0.6587, loss_cls: 4.9597, loss: 4.9597 +2024-01-02 10:04:48,997 - pyskl - INFO - Epoch [107][400/3746] lr: 1.968e-02, eta: 1 day, 4:44:49, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3891, top5_acc: 0.6575, loss_cls: 5.0163, loss: 5.0163 +2024-01-02 10:05:48,446 - pyskl - INFO - Epoch [107][500/3746] lr: 1.966e-02, eta: 1 day, 4:43:40, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3853, top5_acc: 0.6625, loss_cls: 5.0296, loss: 5.0296 +2024-01-02 10:06:47,912 - pyskl - INFO - Epoch [107][600/3746] lr: 1.964e-02, eta: 1 day, 4:42:32, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3928, top5_acc: 0.6648, loss_cls: 4.9982, loss: 4.9982 +2024-01-02 10:07:47,342 - pyskl - INFO - Epoch [107][700/3746] lr: 1.961e-02, eta: 1 day, 4:41:24, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4014, top5_acc: 0.6561, loss_cls: 4.9913, loss: 4.9913 +2024-01-02 10:08:46,777 - pyskl - INFO - Epoch [107][800/3746] lr: 1.959e-02, eta: 1 day, 4:40:16, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3970, top5_acc: 0.6594, loss_cls: 4.9858, loss: 4.9858 +2024-01-02 10:09:46,918 - pyskl - INFO - Epoch [107][900/3746] lr: 1.957e-02, eta: 1 day, 4:39:09, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3856, top5_acc: 0.6605, loss_cls: 5.0312, loss: 5.0312 +2024-01-02 10:10:47,226 - pyskl - INFO - Epoch [107][1000/3746] lr: 1.955e-02, eta: 1 day, 4:38:02, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3877, top5_acc: 0.6556, loss_cls: 5.0200, loss: 5.0200 +2024-01-02 10:11:47,622 - pyskl - INFO - Epoch [107][1100/3746] lr: 1.953e-02, eta: 1 day, 4:36:55, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3956, top5_acc: 0.6556, loss_cls: 4.9920, loss: 4.9920 +2024-01-02 10:12:47,670 - pyskl - INFO - Epoch [107][1200/3746] lr: 1.950e-02, eta: 1 day, 4:35:48, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3794, top5_acc: 0.6469, loss_cls: 5.0772, loss: 5.0772 +2024-01-02 10:13:46,987 - pyskl - INFO - Epoch [107][1300/3746] lr: 1.948e-02, eta: 1 day, 4:34:40, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3778, top5_acc: 0.6478, loss_cls: 5.0653, loss: 5.0653 +2024-01-02 10:14:46,470 - pyskl - INFO - Epoch [107][1400/3746] lr: 1.946e-02, eta: 1 day, 4:33:32, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3923, top5_acc: 0.6603, loss_cls: 5.0218, loss: 5.0218 +2024-01-02 10:15:45,928 - pyskl - INFO - Epoch [107][1500/3746] lr: 1.944e-02, eta: 1 day, 4:32:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3856, top5_acc: 0.6508, loss_cls: 5.0510, loss: 5.0510 +2024-01-02 10:16:45,077 - pyskl - INFO - Epoch [107][1600/3746] lr: 1.942e-02, eta: 1 day, 4:31:15, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3961, top5_acc: 0.6536, loss_cls: 5.0025, loss: 5.0025 +2024-01-02 10:17:44,217 - pyskl - INFO - Epoch [107][1700/3746] lr: 1.939e-02, eta: 1 day, 4:30:07, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3869, top5_acc: 0.6603, loss_cls: 5.0454, loss: 5.0454 +2024-01-02 10:18:43,602 - pyskl - INFO - Epoch [107][1800/3746] lr: 1.937e-02, eta: 1 day, 4:28:59, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3980, top5_acc: 0.6592, loss_cls: 4.9880, loss: 4.9880 +2024-01-02 10:19:42,818 - pyskl - INFO - Epoch [107][1900/3746] lr: 1.935e-02, eta: 1 day, 4:27:50, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3898, top5_acc: 0.6570, loss_cls: 5.0046, loss: 5.0046 +2024-01-02 10:20:42,097 - pyskl - INFO - Epoch [107][2000/3746] lr: 1.933e-02, eta: 1 day, 4:26:42, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3897, top5_acc: 0.6500, loss_cls: 5.0229, loss: 5.0229 +2024-01-02 10:21:41,512 - pyskl - INFO - Epoch [107][2100/3746] lr: 1.930e-02, eta: 1 day, 4:25:34, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3891, top5_acc: 0.6489, loss_cls: 5.0285, loss: 5.0285 +2024-01-02 10:22:40,759 - pyskl - INFO - Epoch [107][2200/3746] lr: 1.928e-02, eta: 1 day, 4:24:26, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4017, top5_acc: 0.6605, loss_cls: 4.9669, loss: 4.9669 +2024-01-02 10:23:40,119 - pyskl - INFO - Epoch [107][2300/3746] lr: 1.926e-02, eta: 1 day, 4:23:18, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3798, top5_acc: 0.6528, loss_cls: 5.0481, loss: 5.0481 +2024-01-02 10:24:39,923 - pyskl - INFO - Epoch [107][2400/3746] lr: 1.924e-02, eta: 1 day, 4:22:10, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4000, top5_acc: 0.6600, loss_cls: 4.9946, loss: 4.9946 +2024-01-02 10:25:39,252 - pyskl - INFO - Epoch [107][2500/3746] lr: 1.922e-02, eta: 1 day, 4:21:02, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3895, top5_acc: 0.6561, loss_cls: 5.0116, loss: 5.0116 +2024-01-02 10:26:38,796 - pyskl - INFO - Epoch [107][2600/3746] lr: 1.919e-02, eta: 1 day, 4:19:55, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3930, top5_acc: 0.6548, loss_cls: 5.0208, loss: 5.0208 +2024-01-02 10:27:38,286 - pyskl - INFO - Epoch [107][2700/3746] lr: 1.917e-02, eta: 1 day, 4:18:47, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3845, top5_acc: 0.6444, loss_cls: 5.0475, loss: 5.0475 +2024-01-02 10:28:37,554 - pyskl - INFO - Epoch [107][2800/3746] lr: 1.915e-02, eta: 1 day, 4:17:39, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3914, top5_acc: 0.6594, loss_cls: 5.0049, loss: 5.0049 +2024-01-02 10:29:37,111 - pyskl - INFO - Epoch [107][2900/3746] lr: 1.913e-02, eta: 1 day, 4:16:31, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3967, top5_acc: 0.6637, loss_cls: 4.9839, loss: 4.9839 +2024-01-02 10:30:36,500 - pyskl - INFO - Epoch [107][3000/3746] lr: 1.911e-02, eta: 1 day, 4:15:23, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3872, top5_acc: 0.6475, loss_cls: 5.0659, loss: 5.0659 +2024-01-02 10:31:35,690 - pyskl - INFO - Epoch [107][3100/3746] lr: 1.908e-02, eta: 1 day, 4:14:15, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.3844, top5_acc: 0.6555, loss_cls: 5.0223, loss: 5.0223 +2024-01-02 10:32:34,836 - pyskl - INFO - Epoch [107][3200/3746] lr: 1.906e-02, eta: 1 day, 4:13:07, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4017, top5_acc: 0.6511, loss_cls: 5.0354, loss: 5.0354 +2024-01-02 10:33:34,879 - pyskl - INFO - Epoch [107][3300/3746] lr: 1.904e-02, eta: 1 day, 4:12:00, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3859, top5_acc: 0.6542, loss_cls: 5.0342, loss: 5.0342 +2024-01-02 10:34:34,959 - pyskl - INFO - Epoch [107][3400/3746] lr: 1.902e-02, eta: 1 day, 4:10:53, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3897, top5_acc: 0.6622, loss_cls: 5.0004, loss: 5.0004 +2024-01-02 10:35:34,227 - pyskl - INFO - Epoch [107][3500/3746] lr: 1.900e-02, eta: 1 day, 4:09:45, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3883, top5_acc: 0.6559, loss_cls: 5.0145, loss: 5.0145 +2024-01-02 10:36:33,496 - pyskl - INFO - Epoch [107][3600/3746] lr: 1.897e-02, eta: 1 day, 4:08:37, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3959, top5_acc: 0.6541, loss_cls: 4.9845, loss: 4.9845 +2024-01-02 10:37:33,807 - pyskl - INFO - Epoch [107][3700/3746] lr: 1.895e-02, eta: 1 day, 4:07:31, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3831, top5_acc: 0.6539, loss_cls: 5.0404, loss: 5.0404 +2024-01-02 10:38:04,091 - pyskl - INFO - Saving checkpoint at 107 epochs +2024-01-02 10:40:00,540 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 10:40:01,385 - pyskl - INFO - +top1_acc 0.3193 +top5_acc 0.5745 +2024-01-02 10:40:01,385 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 10:40:01,418 - pyskl - INFO - +mean_acc 0.3190 +2024-01-02 10:40:01,429 - pyskl - INFO - Epoch(val) [107][309] top1_acc: 0.3193, top5_acc: 0.5745, mean_class_accuracy: 0.3190 +2024-01-02 10:43:19,050 - pyskl - INFO - Epoch [108][100/3746] lr: 1.892e-02, eta: 1 day, 4:08:30, time: 1.976, data_time: 1.382, memory: 16180, top1_acc: 0.4020, top5_acc: 0.6675, loss_cls: 4.9564, loss: 4.9564 +2024-01-02 10:44:18,789 - pyskl - INFO - Epoch [108][200/3746] lr: 1.890e-02, eta: 1 day, 4:07:23, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3986, top5_acc: 0.6552, loss_cls: 4.9743, loss: 4.9743 +2024-01-02 10:45:18,040 - pyskl - INFO - Epoch [108][300/3746] lr: 1.888e-02, eta: 1 day, 4:06:15, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4027, top5_acc: 0.6691, loss_cls: 4.9523, loss: 4.9523 +2024-01-02 10:46:17,619 - pyskl - INFO - Epoch [108][400/3746] lr: 1.886e-02, eta: 1 day, 4:05:07, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3919, top5_acc: 0.6594, loss_cls: 5.0037, loss: 5.0037 +2024-01-02 10:47:17,285 - pyskl - INFO - Epoch [108][500/3746] lr: 1.883e-02, eta: 1 day, 4:03:59, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3841, top5_acc: 0.6548, loss_cls: 5.0046, loss: 5.0046 +2024-01-02 10:48:16,598 - pyskl - INFO - Epoch [108][600/3746] lr: 1.881e-02, eta: 1 day, 4:02:51, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3981, top5_acc: 0.6664, loss_cls: 4.9475, loss: 4.9475 +2024-01-02 10:49:16,325 - pyskl - INFO - Epoch [108][700/3746] lr: 1.879e-02, eta: 1 day, 4:01:44, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4011, top5_acc: 0.6605, loss_cls: 4.9359, loss: 4.9359 +2024-01-02 10:50:15,901 - pyskl - INFO - Epoch [108][800/3746] lr: 1.877e-02, eta: 1 day, 4:00:36, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4009, top5_acc: 0.6698, loss_cls: 4.9569, loss: 4.9569 +2024-01-02 10:51:15,414 - pyskl - INFO - Epoch [108][900/3746] lr: 1.875e-02, eta: 1 day, 3:59:28, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3936, top5_acc: 0.6598, loss_cls: 5.0009, loss: 5.0009 +2024-01-02 10:52:14,804 - pyskl - INFO - Epoch [108][1000/3746] lr: 1.872e-02, eta: 1 day, 3:58:21, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3952, top5_acc: 0.6538, loss_cls: 5.0017, loss: 5.0017 +2024-01-02 10:53:15,363 - pyskl - INFO - Epoch [108][1100/3746] lr: 1.870e-02, eta: 1 day, 3:57:14, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3980, top5_acc: 0.6641, loss_cls: 4.9987, loss: 4.9987 +2024-01-02 10:54:15,746 - pyskl - INFO - Epoch [108][1200/3746] lr: 1.868e-02, eta: 1 day, 3:56:08, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3962, top5_acc: 0.6622, loss_cls: 4.9873, loss: 4.9873 +2024-01-02 10:55:15,693 - pyskl - INFO - Epoch [108][1300/3746] lr: 1.866e-02, eta: 1 day, 3:55:01, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3836, top5_acc: 0.6481, loss_cls: 5.0195, loss: 5.0195 +2024-01-02 10:56:15,106 - pyskl - INFO - Epoch [108][1400/3746] lr: 1.864e-02, eta: 1 day, 3:53:53, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4027, top5_acc: 0.6619, loss_cls: 4.9870, loss: 4.9870 +2024-01-02 10:57:14,944 - pyskl - INFO - Epoch [108][1500/3746] lr: 1.862e-02, eta: 1 day, 3:52:46, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3972, top5_acc: 0.6631, loss_cls: 4.9634, loss: 4.9634 +2024-01-02 10:58:14,631 - pyskl - INFO - Epoch [108][1600/3746] lr: 1.859e-02, eta: 1 day, 3:51:38, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3933, top5_acc: 0.6625, loss_cls: 4.9666, loss: 4.9666 +2024-01-02 10:59:14,411 - pyskl - INFO - Epoch [108][1700/3746] lr: 1.857e-02, eta: 1 day, 3:50:31, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3820, top5_acc: 0.6412, loss_cls: 5.0719, loss: 5.0719 +2024-01-02 11:00:13,886 - pyskl - INFO - Epoch [108][1800/3746] lr: 1.855e-02, eta: 1 day, 3:49:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4003, top5_acc: 0.6655, loss_cls: 4.9590, loss: 4.9590 +2024-01-02 11:01:13,552 - pyskl - INFO - Epoch [108][1900/3746] lr: 1.853e-02, eta: 1 day, 3:48:16, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4030, top5_acc: 0.6623, loss_cls: 4.9897, loss: 4.9897 +2024-01-02 11:02:12,828 - pyskl - INFO - Epoch [108][2000/3746] lr: 1.851e-02, eta: 1 day, 3:47:08, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3992, top5_acc: 0.6622, loss_cls: 4.9865, loss: 4.9865 +2024-01-02 11:03:12,220 - pyskl - INFO - Epoch [108][2100/3746] lr: 1.848e-02, eta: 1 day, 3:46:01, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3983, top5_acc: 0.6564, loss_cls: 4.9952, loss: 4.9952 +2024-01-02 11:04:12,236 - pyskl - INFO - Epoch [108][2200/3746] lr: 1.846e-02, eta: 1 day, 3:44:54, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3961, top5_acc: 0.6542, loss_cls: 5.0140, loss: 5.0140 +2024-01-02 11:05:11,972 - pyskl - INFO - Epoch [108][2300/3746] lr: 1.844e-02, eta: 1 day, 3:43:47, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3972, top5_acc: 0.6539, loss_cls: 5.0160, loss: 5.0160 +2024-01-02 11:06:11,547 - pyskl - INFO - Epoch [108][2400/3746] lr: 1.842e-02, eta: 1 day, 3:42:39, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3945, top5_acc: 0.6564, loss_cls: 5.0083, loss: 5.0083 +2024-01-02 11:07:10,813 - pyskl - INFO - Epoch [108][2500/3746] lr: 1.840e-02, eta: 1 day, 3:41:31, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3977, top5_acc: 0.6595, loss_cls: 4.9804, loss: 4.9804 +2024-01-02 11:08:10,360 - pyskl - INFO - Epoch [108][2600/3746] lr: 1.838e-02, eta: 1 day, 3:40:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3975, top5_acc: 0.6561, loss_cls: 5.0032, loss: 5.0032 +2024-01-02 11:09:09,724 - pyskl - INFO - Epoch [108][2700/3746] lr: 1.835e-02, eta: 1 day, 3:39:16, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3887, top5_acc: 0.6553, loss_cls: 5.0266, loss: 5.0266 +2024-01-02 11:10:09,177 - pyskl - INFO - Epoch [108][2800/3746] lr: 1.833e-02, eta: 1 day, 3:38:09, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3869, top5_acc: 0.6534, loss_cls: 5.0068, loss: 5.0068 +2024-01-02 11:11:08,738 - pyskl - INFO - Epoch [108][2900/3746] lr: 1.831e-02, eta: 1 day, 3:37:01, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4003, top5_acc: 0.6636, loss_cls: 4.9912, loss: 4.9912 +2024-01-02 11:12:08,580 - pyskl - INFO - Epoch [108][3000/3746] lr: 1.829e-02, eta: 1 day, 3:35:54, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3928, top5_acc: 0.6497, loss_cls: 5.0136, loss: 5.0136 +2024-01-02 11:13:07,880 - pyskl - INFO - Epoch [108][3100/3746] lr: 1.827e-02, eta: 1 day, 3:34:47, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3905, top5_acc: 0.6525, loss_cls: 5.0450, loss: 5.0450 +2024-01-02 11:14:07,347 - pyskl - INFO - Epoch [108][3200/3746] lr: 1.825e-02, eta: 1 day, 3:33:39, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3897, top5_acc: 0.6608, loss_cls: 5.0219, loss: 5.0219 +2024-01-02 11:15:07,319 - pyskl - INFO - Epoch [108][3300/3746] lr: 1.823e-02, eta: 1 day, 3:32:32, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4059, top5_acc: 0.6567, loss_cls: 5.0070, loss: 5.0070 +2024-01-02 11:16:08,102 - pyskl - INFO - Epoch [108][3400/3746] lr: 1.820e-02, eta: 1 day, 3:31:27, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.3962, top5_acc: 0.6619, loss_cls: 4.9821, loss: 4.9821 +2024-01-02 11:17:07,748 - pyskl - INFO - Epoch [108][3500/3746] lr: 1.818e-02, eta: 1 day, 3:30:19, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3859, top5_acc: 0.6594, loss_cls: 4.9930, loss: 4.9930 +2024-01-02 11:18:07,609 - pyskl - INFO - Epoch [108][3600/3746] lr: 1.816e-02, eta: 1 day, 3:29:13, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3897, top5_acc: 0.6480, loss_cls: 5.0315, loss: 5.0315 +2024-01-02 11:19:08,239 - pyskl - INFO - Epoch [108][3700/3746] lr: 1.814e-02, eta: 1 day, 3:28:07, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3869, top5_acc: 0.6598, loss_cls: 4.9909, loss: 4.9909 +2024-01-02 11:19:38,706 - pyskl - INFO - Saving checkpoint at 108 epochs +2024-01-02 11:21:33,765 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 11:21:34,567 - pyskl - INFO - +top1_acc 0.3278 +top5_acc 0.5843 +2024-01-02 11:21:34,567 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 11:21:34,598 - pyskl - INFO - +mean_acc 0.3276 +2024-01-02 11:21:34,605 - pyskl - INFO - Epoch(val) [108][309] top1_acc: 0.3278, top5_acc: 0.5843, mean_class_accuracy: 0.3276 +2024-01-02 11:24:55,859 - pyskl - INFO - Epoch [109][100/3746] lr: 1.811e-02, eta: 1 day, 3:29:03, time: 2.012, data_time: 1.420, memory: 16180, top1_acc: 0.4127, top5_acc: 0.6691, loss_cls: 4.9218, loss: 4.9218 +2024-01-02 11:25:55,311 - pyskl - INFO - Epoch [109][200/3746] lr: 1.809e-02, eta: 1 day, 3:27:55, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4073, top5_acc: 0.6691, loss_cls: 4.9253, loss: 4.9253 +2024-01-02 11:26:54,943 - pyskl - INFO - Epoch [109][300/3746] lr: 1.806e-02, eta: 1 day, 3:26:48, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3994, top5_acc: 0.6672, loss_cls: 4.9605, loss: 4.9605 +2024-01-02 11:27:54,464 - pyskl - INFO - Epoch [109][400/3746] lr: 1.804e-02, eta: 1 day, 3:25:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4022, top5_acc: 0.6681, loss_cls: 4.9317, loss: 4.9317 +2024-01-02 11:28:54,126 - pyskl - INFO - Epoch [109][500/3746] lr: 1.802e-02, eta: 1 day, 3:24:33, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4083, top5_acc: 0.6711, loss_cls: 4.9350, loss: 4.9350 +2024-01-02 11:29:53,535 - pyskl - INFO - Epoch [109][600/3746] lr: 1.800e-02, eta: 1 day, 3:23:26, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3986, top5_acc: 0.6622, loss_cls: 4.9729, loss: 4.9729 +2024-01-02 11:30:53,077 - pyskl - INFO - Epoch [109][700/3746] lr: 1.798e-02, eta: 1 day, 3:22:18, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4081, top5_acc: 0.6725, loss_cls: 4.9237, loss: 4.9237 +2024-01-02 11:31:52,724 - pyskl - INFO - Epoch [109][800/3746] lr: 1.796e-02, eta: 1 day, 3:21:11, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4075, top5_acc: 0.6630, loss_cls: 4.9722, loss: 4.9722 +2024-01-02 11:32:52,238 - pyskl - INFO - Epoch [109][900/3746] lr: 1.794e-02, eta: 1 day, 3:20:04, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4027, top5_acc: 0.6645, loss_cls: 4.9513, loss: 4.9513 +2024-01-02 11:33:51,961 - pyskl - INFO - Epoch [109][1000/3746] lr: 1.791e-02, eta: 1 day, 3:18:56, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3991, top5_acc: 0.6648, loss_cls: 4.9635, loss: 4.9635 +2024-01-02 11:34:51,741 - pyskl - INFO - Epoch [109][1100/3746] lr: 1.789e-02, eta: 1 day, 3:17:49, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4014, top5_acc: 0.6577, loss_cls: 4.9676, loss: 4.9676 +2024-01-02 11:35:51,888 - pyskl - INFO - Epoch [109][1200/3746] lr: 1.787e-02, eta: 1 day, 3:16:43, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.3970, top5_acc: 0.6639, loss_cls: 4.9573, loss: 4.9573 +2024-01-02 11:36:51,693 - pyskl - INFO - Epoch [109][1300/3746] lr: 1.785e-02, eta: 1 day, 3:15:36, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.3995, top5_acc: 0.6691, loss_cls: 4.9642, loss: 4.9642 +2024-01-02 11:37:51,784 - pyskl - INFO - Epoch [109][1400/3746] lr: 1.783e-02, eta: 1 day, 3:14:29, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4080, top5_acc: 0.6637, loss_cls: 4.9700, loss: 4.9700 +2024-01-02 11:38:51,325 - pyskl - INFO - Epoch [109][1500/3746] lr: 1.781e-02, eta: 1 day, 3:13:22, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3970, top5_acc: 0.6561, loss_cls: 4.9835, loss: 4.9835 +2024-01-02 11:39:50,428 - pyskl - INFO - Epoch [109][1600/3746] lr: 1.779e-02, eta: 1 day, 3:12:14, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.3919, top5_acc: 0.6608, loss_cls: 4.9912, loss: 4.9912 +2024-01-02 11:40:49,789 - pyskl - INFO - Epoch [109][1700/3746] lr: 1.776e-02, eta: 1 day, 3:11:06, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4030, top5_acc: 0.6678, loss_cls: 4.9702, loss: 4.9702 +2024-01-02 11:41:49,472 - pyskl - INFO - Epoch [109][1800/3746] lr: 1.774e-02, eta: 1 day, 3:09:59, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3905, top5_acc: 0.6548, loss_cls: 5.0207, loss: 5.0207 +2024-01-02 11:42:48,943 - pyskl - INFO - Epoch [109][1900/3746] lr: 1.772e-02, eta: 1 day, 3:08:52, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3892, top5_acc: 0.6541, loss_cls: 5.0249, loss: 5.0249 +2024-01-02 11:43:48,674 - pyskl - INFO - Epoch [109][2000/3746] lr: 1.770e-02, eta: 1 day, 3:07:45, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3805, top5_acc: 0.6558, loss_cls: 5.0007, loss: 5.0007 +2024-01-02 11:44:49,037 - pyskl - INFO - Epoch [109][2100/3746] lr: 1.768e-02, eta: 1 day, 3:06:39, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3969, top5_acc: 0.6578, loss_cls: 4.9961, loss: 4.9961 +2024-01-02 11:45:49,619 - pyskl - INFO - Epoch [109][2200/3746] lr: 1.766e-02, eta: 1 day, 3:05:33, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3952, top5_acc: 0.6603, loss_cls: 4.9980, loss: 4.9980 +2024-01-02 11:46:50,228 - pyskl - INFO - Epoch [109][2300/3746] lr: 1.764e-02, eta: 1 day, 3:04:27, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.3880, top5_acc: 0.6541, loss_cls: 5.0324, loss: 5.0324 +2024-01-02 11:47:49,795 - pyskl - INFO - Epoch [109][2400/3746] lr: 1.761e-02, eta: 1 day, 3:03:20, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3927, top5_acc: 0.6508, loss_cls: 4.9993, loss: 4.9993 +2024-01-02 11:48:49,163 - pyskl - INFO - Epoch [109][2500/3746] lr: 1.759e-02, eta: 1 day, 3:02:12, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4025, top5_acc: 0.6587, loss_cls: 4.9658, loss: 4.9658 +2024-01-02 11:49:48,782 - pyskl - INFO - Epoch [109][2600/3746] lr: 1.757e-02, eta: 1 day, 3:01:05, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3945, top5_acc: 0.6609, loss_cls: 4.9788, loss: 4.9788 +2024-01-02 11:50:48,127 - pyskl - INFO - Epoch [109][2700/3746] lr: 1.755e-02, eta: 1 day, 2:59:58, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3958, top5_acc: 0.6669, loss_cls: 4.9551, loss: 4.9551 +2024-01-02 11:51:47,469 - pyskl - INFO - Epoch [109][2800/3746] lr: 1.753e-02, eta: 1 day, 2:58:50, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3958, top5_acc: 0.6505, loss_cls: 4.9928, loss: 4.9928 +2024-01-02 11:52:47,132 - pyskl - INFO - Epoch [109][2900/3746] lr: 1.751e-02, eta: 1 day, 2:57:43, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3952, top5_acc: 0.6598, loss_cls: 5.0009, loss: 5.0009 +2024-01-02 11:53:46,730 - pyskl - INFO - Epoch [109][3000/3746] lr: 1.749e-02, eta: 1 day, 2:56:36, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3941, top5_acc: 0.6705, loss_cls: 4.9606, loss: 4.9606 +2024-01-02 11:54:46,518 - pyskl - INFO - Epoch [109][3100/3746] lr: 1.747e-02, eta: 1 day, 2:55:29, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4044, top5_acc: 0.6587, loss_cls: 4.9409, loss: 4.9409 +2024-01-02 11:55:47,408 - pyskl - INFO - Epoch [109][3200/3746] lr: 1.744e-02, eta: 1 day, 2:54:24, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.3964, top5_acc: 0.6525, loss_cls: 4.9805, loss: 4.9805 +2024-01-02 11:56:47,601 - pyskl - INFO - Epoch [109][3300/3746] lr: 1.742e-02, eta: 1 day, 2:53:18, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4130, top5_acc: 0.6625, loss_cls: 4.9583, loss: 4.9583 +2024-01-02 11:57:47,594 - pyskl - INFO - Epoch [109][3400/3746] lr: 1.740e-02, eta: 1 day, 2:52:11, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3914, top5_acc: 0.6486, loss_cls: 5.0307, loss: 5.0307 +2024-01-02 11:58:47,136 - pyskl - INFO - Epoch [109][3500/3746] lr: 1.738e-02, eta: 1 day, 2:51:04, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4056, top5_acc: 0.6637, loss_cls: 4.9642, loss: 4.9642 +2024-01-02 11:59:47,430 - pyskl - INFO - Epoch [109][3600/3746] lr: 1.736e-02, eta: 1 day, 2:49:58, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.3986, top5_acc: 0.6647, loss_cls: 4.9745, loss: 4.9745 +2024-01-02 12:00:47,673 - pyskl - INFO - Epoch [109][3700/3746] lr: 1.734e-02, eta: 1 day, 2:48:52, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.3880, top5_acc: 0.6594, loss_cls: 5.0101, loss: 5.0101 +2024-01-02 12:01:18,187 - pyskl - INFO - Saving checkpoint at 109 epochs +2024-01-02 12:03:13,600 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 12:03:14,693 - pyskl - INFO - +top1_acc 0.3433 +top5_acc 0.6014 +2024-01-02 12:03:14,693 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 12:03:14,736 - pyskl - INFO - +mean_acc 0.3432 +2024-01-02 12:03:14,742 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_106.pth was removed +2024-01-02 12:03:15,029 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_109.pth. +2024-01-02 12:03:15,030 - pyskl - INFO - Best top1_acc is 0.3433 at 109 epoch. +2024-01-02 12:03:15,044 - pyskl - INFO - Epoch(val) [109][309] top1_acc: 0.3433, top5_acc: 0.6014, mean_class_accuracy: 0.3432 +2024-01-02 12:06:32,853 - pyskl - INFO - Epoch [110][100/3746] lr: 1.731e-02, eta: 1 day, 2:49:36, time: 1.978, data_time: 1.386, memory: 16180, top1_acc: 0.4070, top5_acc: 0.6761, loss_cls: 4.8916, loss: 4.8916 +2024-01-02 12:07:32,274 - pyskl - INFO - Epoch [110][200/3746] lr: 1.729e-02, eta: 1 day, 2:48:29, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4111, top5_acc: 0.6787, loss_cls: 4.8876, loss: 4.8876 +2024-01-02 12:08:31,631 - pyskl - INFO - Epoch [110][300/3746] lr: 1.727e-02, eta: 1 day, 2:47:21, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4139, top5_acc: 0.6777, loss_cls: 4.8966, loss: 4.8966 +2024-01-02 12:09:31,382 - pyskl - INFO - Epoch [110][400/3746] lr: 1.724e-02, eta: 1 day, 2:46:14, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4106, top5_acc: 0.6711, loss_cls: 4.9098, loss: 4.9098 +2024-01-02 12:10:31,216 - pyskl - INFO - Epoch [110][500/3746] lr: 1.722e-02, eta: 1 day, 2:45:07, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4017, top5_acc: 0.6653, loss_cls: 4.9534, loss: 4.9534 +2024-01-02 12:11:30,899 - pyskl - INFO - Epoch [110][600/3746] lr: 1.720e-02, eta: 1 day, 2:44:00, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4177, top5_acc: 0.6766, loss_cls: 4.8860, loss: 4.8860 +2024-01-02 12:12:30,531 - pyskl - INFO - Epoch [110][700/3746] lr: 1.718e-02, eta: 1 day, 2:42:53, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4097, top5_acc: 0.6667, loss_cls: 4.9306, loss: 4.9306 +2024-01-02 12:13:30,195 - pyskl - INFO - Epoch [110][800/3746] lr: 1.716e-02, eta: 1 day, 2:41:46, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4006, top5_acc: 0.6683, loss_cls: 4.9463, loss: 4.9463 +2024-01-02 12:14:29,763 - pyskl - INFO - Epoch [110][900/3746] lr: 1.714e-02, eta: 1 day, 2:40:39, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4139, top5_acc: 0.6744, loss_cls: 4.9260, loss: 4.9260 +2024-01-02 12:15:29,731 - pyskl - INFO - Epoch [110][1000/3746] lr: 1.712e-02, eta: 1 day, 2:39:32, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4030, top5_acc: 0.6703, loss_cls: 4.9326, loss: 4.9326 +2024-01-02 12:16:29,535 - pyskl - INFO - Epoch [110][1100/3746] lr: 1.710e-02, eta: 1 day, 2:38:26, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4103, top5_acc: 0.6659, loss_cls: 4.9467, loss: 4.9467 +2024-01-02 12:17:29,951 - pyskl - INFO - Epoch [110][1200/3746] lr: 1.708e-02, eta: 1 day, 2:37:20, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.3972, top5_acc: 0.6689, loss_cls: 4.9788, loss: 4.9788 +2024-01-02 12:18:30,208 - pyskl - INFO - Epoch [110][1300/3746] lr: 1.705e-02, eta: 1 day, 2:36:13, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4048, top5_acc: 0.6702, loss_cls: 4.9584, loss: 4.9584 +2024-01-02 12:19:29,725 - pyskl - INFO - Epoch [110][1400/3746] lr: 1.703e-02, eta: 1 day, 2:35:06, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3964, top5_acc: 0.6511, loss_cls: 5.0234, loss: 5.0234 +2024-01-02 12:20:29,192 - pyskl - INFO - Epoch [110][1500/3746] lr: 1.701e-02, eta: 1 day, 2:33:59, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4055, top5_acc: 0.6647, loss_cls: 4.9527, loss: 4.9527 +2024-01-02 12:21:29,699 - pyskl - INFO - Epoch [110][1600/3746] lr: 1.699e-02, eta: 1 day, 2:32:53, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.3973, top5_acc: 0.6591, loss_cls: 4.9722, loss: 4.9722 +2024-01-02 12:22:29,482 - pyskl - INFO - Epoch [110][1700/3746] lr: 1.697e-02, eta: 1 day, 2:31:47, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4005, top5_acc: 0.6686, loss_cls: 4.9520, loss: 4.9520 +2024-01-02 12:23:28,942 - pyskl - INFO - Epoch [110][1800/3746] lr: 1.695e-02, eta: 1 day, 2:30:39, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4097, top5_acc: 0.6645, loss_cls: 4.9286, loss: 4.9286 +2024-01-02 12:24:28,384 - pyskl - INFO - Epoch [110][1900/3746] lr: 1.693e-02, eta: 1 day, 2:29:32, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4036, top5_acc: 0.6595, loss_cls: 4.9844, loss: 4.9844 +2024-01-02 12:25:28,070 - pyskl - INFO - Epoch [110][2000/3746] lr: 1.691e-02, eta: 1 day, 2:28:25, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4048, top5_acc: 0.6647, loss_cls: 4.9729, loss: 4.9729 +2024-01-02 12:26:27,755 - pyskl - INFO - Epoch [110][2100/3746] lr: 1.689e-02, eta: 1 day, 2:27:19, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4017, top5_acc: 0.6644, loss_cls: 4.9625, loss: 4.9625 +2024-01-02 12:27:27,232 - pyskl - INFO - Epoch [110][2200/3746] lr: 1.687e-02, eta: 1 day, 2:26:11, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3984, top5_acc: 0.6714, loss_cls: 4.9297, loss: 4.9297 +2024-01-02 12:28:26,709 - pyskl - INFO - Epoch [110][2300/3746] lr: 1.685e-02, eta: 1 day, 2:25:04, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4053, top5_acc: 0.6761, loss_cls: 4.9387, loss: 4.9387 +2024-01-02 12:29:26,365 - pyskl - INFO - Epoch [110][2400/3746] lr: 1.682e-02, eta: 1 day, 2:23:58, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3991, top5_acc: 0.6587, loss_cls: 4.9850, loss: 4.9850 +2024-01-02 12:30:25,869 - pyskl - INFO - Epoch [110][2500/3746] lr: 1.680e-02, eta: 1 day, 2:22:51, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3934, top5_acc: 0.6547, loss_cls: 5.0209, loss: 5.0209 +2024-01-02 12:31:25,368 - pyskl - INFO - Epoch [110][2600/3746] lr: 1.678e-02, eta: 1 day, 2:21:44, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4091, top5_acc: 0.6719, loss_cls: 4.9211, loss: 4.9211 +2024-01-02 12:32:24,854 - pyskl - INFO - Epoch [110][2700/3746] lr: 1.676e-02, eta: 1 day, 2:20:37, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3955, top5_acc: 0.6583, loss_cls: 4.9637, loss: 4.9637 +2024-01-02 12:33:24,286 - pyskl - INFO - Epoch [110][2800/3746] lr: 1.674e-02, eta: 1 day, 2:19:30, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4141, top5_acc: 0.6698, loss_cls: 4.9254, loss: 4.9254 +2024-01-02 12:34:23,845 - pyskl - INFO - Epoch [110][2900/3746] lr: 1.672e-02, eta: 1 day, 2:18:23, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3930, top5_acc: 0.6600, loss_cls: 5.0046, loss: 5.0046 +2024-01-02 12:35:23,445 - pyskl - INFO - Epoch [110][3000/3746] lr: 1.670e-02, eta: 1 day, 2:17:16, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3961, top5_acc: 0.6552, loss_cls: 5.0127, loss: 5.0127 +2024-01-02 12:36:22,893 - pyskl - INFO - Epoch [110][3100/3746] lr: 1.668e-02, eta: 1 day, 2:16:09, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3989, top5_acc: 0.6719, loss_cls: 4.9829, loss: 4.9829 +2024-01-02 12:37:22,517 - pyskl - INFO - Epoch [110][3200/3746] lr: 1.666e-02, eta: 1 day, 2:15:02, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3933, top5_acc: 0.6594, loss_cls: 4.9888, loss: 4.9888 +2024-01-02 12:38:22,407 - pyskl - INFO - Epoch [110][3300/3746] lr: 1.664e-02, eta: 1 day, 2:13:56, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3898, top5_acc: 0.6589, loss_cls: 4.9899, loss: 4.9899 +2024-01-02 12:39:22,438 - pyskl - INFO - Epoch [110][3400/3746] lr: 1.662e-02, eta: 1 day, 2:12:49, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3861, top5_acc: 0.6650, loss_cls: 4.9857, loss: 4.9857 +2024-01-02 12:40:21,518 - pyskl - INFO - Epoch [110][3500/3746] lr: 1.659e-02, eta: 1 day, 2:11:42, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4039, top5_acc: 0.6648, loss_cls: 4.9583, loss: 4.9583 +2024-01-02 12:41:21,033 - pyskl - INFO - Epoch [110][3600/3746] lr: 1.657e-02, eta: 1 day, 2:10:35, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3947, top5_acc: 0.6672, loss_cls: 4.9864, loss: 4.9864 +2024-01-02 12:42:21,217 - pyskl - INFO - Epoch [110][3700/3746] lr: 1.655e-02, eta: 1 day, 2:09:29, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4047, top5_acc: 0.6720, loss_cls: 4.9257, loss: 4.9257 +2024-01-02 12:42:51,492 - pyskl - INFO - Saving checkpoint at 110 epochs +2024-01-02 12:44:46,075 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 12:44:46,906 - pyskl - INFO - +top1_acc 0.3431 +top5_acc 0.6085 +2024-01-02 12:44:46,906 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 12:44:46,938 - pyskl - INFO - +mean_acc 0.3427 +2024-01-02 12:44:46,946 - pyskl - INFO - Epoch(val) [110][309] top1_acc: 0.3431, top5_acc: 0.6085, mean_class_accuracy: 0.3427 +2024-01-02 12:47:59,238 - pyskl - INFO - Epoch [111][100/3746] lr: 1.652e-02, eta: 1 day, 2:09:59, time: 1.923, data_time: 1.328, memory: 16180, top1_acc: 0.4242, top5_acc: 0.6841, loss_cls: 4.8346, loss: 4.8346 +2024-01-02 12:48:58,899 - pyskl - INFO - Epoch [111][200/3746] lr: 1.650e-02, eta: 1 day, 2:08:52, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4153, top5_acc: 0.6808, loss_cls: 4.8977, loss: 4.8977 +2024-01-02 12:49:58,324 - pyskl - INFO - Epoch [111][300/3746] lr: 1.648e-02, eta: 1 day, 2:07:45, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4213, top5_acc: 0.6800, loss_cls: 4.8876, loss: 4.8876 +2024-01-02 12:50:57,587 - pyskl - INFO - Epoch [111][400/3746] lr: 1.646e-02, eta: 1 day, 2:06:38, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4250, top5_acc: 0.6839, loss_cls: 4.8761, loss: 4.8761 +2024-01-02 12:51:57,213 - pyskl - INFO - Epoch [111][500/3746] lr: 1.644e-02, eta: 1 day, 2:05:31, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4070, top5_acc: 0.6670, loss_cls: 4.9408, loss: 4.9408 +2024-01-02 12:52:56,640 - pyskl - INFO - Epoch [111][600/3746] lr: 1.642e-02, eta: 1 day, 2:04:24, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4062, top5_acc: 0.6734, loss_cls: 4.9369, loss: 4.9369 +2024-01-02 12:53:56,461 - pyskl - INFO - Epoch [111][700/3746] lr: 1.640e-02, eta: 1 day, 2:03:17, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4217, top5_acc: 0.6800, loss_cls: 4.8704, loss: 4.8704 +2024-01-02 12:54:57,018 - pyskl - INFO - Epoch [111][800/3746] lr: 1.638e-02, eta: 1 day, 2:02:12, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.4014, top5_acc: 0.6722, loss_cls: 4.9165, loss: 4.9165 +2024-01-02 12:55:57,404 - pyskl - INFO - Epoch [111][900/3746] lr: 1.636e-02, eta: 1 day, 2:01:06, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.4119, top5_acc: 0.6750, loss_cls: 4.9062, loss: 4.9062 +2024-01-02 12:56:57,036 - pyskl - INFO - Epoch [111][1000/3746] lr: 1.634e-02, eta: 1 day, 1:59:59, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4170, top5_acc: 0.6792, loss_cls: 4.8714, loss: 4.8714 +2024-01-02 12:57:57,251 - pyskl - INFO - Epoch [111][1100/3746] lr: 1.632e-02, eta: 1 day, 1:58:53, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4114, top5_acc: 0.6756, loss_cls: 4.9183, loss: 4.9183 +2024-01-02 12:58:57,289 - pyskl - INFO - Epoch [111][1200/3746] lr: 1.630e-02, eta: 1 day, 1:57:47, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4012, top5_acc: 0.6614, loss_cls: 4.9590, loss: 4.9590 +2024-01-02 12:59:57,753 - pyskl - INFO - Epoch [111][1300/3746] lr: 1.627e-02, eta: 1 day, 1:56:41, time: 0.605, data_time: 0.001, memory: 16180, top1_acc: 0.4067, top5_acc: 0.6686, loss_cls: 4.9489, loss: 4.9489 +2024-01-02 13:00:57,599 - pyskl - INFO - Epoch [111][1400/3746] lr: 1.625e-02, eta: 1 day, 1:55:34, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4019, top5_acc: 0.6758, loss_cls: 4.9173, loss: 4.9173 +2024-01-02 13:01:57,357 - pyskl - INFO - Epoch [111][1500/3746] lr: 1.623e-02, eta: 1 day, 1:54:28, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4119, top5_acc: 0.6805, loss_cls: 4.9130, loss: 4.9130 +2024-01-02 13:02:56,687 - pyskl - INFO - Epoch [111][1600/3746] lr: 1.621e-02, eta: 1 day, 1:53:21, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4128, top5_acc: 0.6750, loss_cls: 4.9322, loss: 4.9322 +2024-01-02 13:03:56,390 - pyskl - INFO - Epoch [111][1700/3746] lr: 1.619e-02, eta: 1 day, 1:52:14, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3991, top5_acc: 0.6673, loss_cls: 4.9530, loss: 4.9530 +2024-01-02 13:04:56,513 - pyskl - INFO - Epoch [111][1800/3746] lr: 1.617e-02, eta: 1 day, 1:51:08, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4039, top5_acc: 0.6636, loss_cls: 4.9512, loss: 4.9512 +2024-01-02 13:05:56,087 - pyskl - INFO - Epoch [111][1900/3746] lr: 1.615e-02, eta: 1 day, 1:50:01, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.3942, top5_acc: 0.6580, loss_cls: 5.0037, loss: 5.0037 +2024-01-02 13:06:55,416 - pyskl - INFO - Epoch [111][2000/3746] lr: 1.613e-02, eta: 1 day, 1:48:54, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4008, top5_acc: 0.6669, loss_cls: 4.9613, loss: 4.9613 +2024-01-02 13:07:54,771 - pyskl - INFO - Epoch [111][2100/3746] lr: 1.611e-02, eta: 1 day, 1:47:47, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4048, top5_acc: 0.6636, loss_cls: 4.9697, loss: 4.9697 +2024-01-02 13:08:54,224 - pyskl - INFO - Epoch [111][2200/3746] lr: 1.609e-02, eta: 1 day, 1:46:40, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4030, top5_acc: 0.6644, loss_cls: 4.9462, loss: 4.9462 +2024-01-02 13:09:53,771 - pyskl - INFO - Epoch [111][2300/3746] lr: 1.607e-02, eta: 1 day, 1:45:34, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4000, top5_acc: 0.6636, loss_cls: 4.9596, loss: 4.9596 +2024-01-02 13:10:53,192 - pyskl - INFO - Epoch [111][2400/3746] lr: 1.605e-02, eta: 1 day, 1:44:27, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4017, top5_acc: 0.6683, loss_cls: 4.9599, loss: 4.9599 +2024-01-02 13:11:53,105 - pyskl - INFO - Epoch [111][2500/3746] lr: 1.603e-02, eta: 1 day, 1:43:20, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4019, top5_acc: 0.6572, loss_cls: 4.9954, loss: 4.9954 +2024-01-02 13:12:52,980 - pyskl - INFO - Epoch [111][2600/3746] lr: 1.601e-02, eta: 1 day, 1:42:14, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4003, top5_acc: 0.6667, loss_cls: 4.9459, loss: 4.9459 +2024-01-02 13:13:52,655 - pyskl - INFO - Epoch [111][2700/3746] lr: 1.599e-02, eta: 1 day, 1:41:08, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.3984, top5_acc: 0.6564, loss_cls: 4.9858, loss: 4.9858 +2024-01-02 13:14:52,639 - pyskl - INFO - Epoch [111][2800/3746] lr: 1.597e-02, eta: 1 day, 1:40:01, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.3995, top5_acc: 0.6683, loss_cls: 4.9388, loss: 4.9388 +2024-01-02 13:15:51,967 - pyskl - INFO - Epoch [111][2900/3746] lr: 1.595e-02, eta: 1 day, 1:38:54, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4033, top5_acc: 0.6700, loss_cls: 4.9548, loss: 4.9548 +2024-01-02 13:16:51,358 - pyskl - INFO - Epoch [111][3000/3746] lr: 1.593e-02, eta: 1 day, 1:37:48, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4019, top5_acc: 0.6741, loss_cls: 4.9378, loss: 4.9378 +2024-01-02 13:17:50,822 - pyskl - INFO - Epoch [111][3100/3746] lr: 1.590e-02, eta: 1 day, 1:36:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4023, top5_acc: 0.6747, loss_cls: 4.9244, loss: 4.9244 +2024-01-02 13:18:50,572 - pyskl - INFO - Epoch [111][3200/3746] lr: 1.588e-02, eta: 1 day, 1:35:34, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4003, top5_acc: 0.6666, loss_cls: 4.9652, loss: 4.9652 +2024-01-02 13:19:50,534 - pyskl - INFO - Epoch [111][3300/3746] lr: 1.586e-02, eta: 1 day, 1:34:28, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4016, top5_acc: 0.6634, loss_cls: 4.9725, loss: 4.9725 +2024-01-02 13:20:50,853 - pyskl - INFO - Epoch [111][3400/3746] lr: 1.584e-02, eta: 1 day, 1:33:23, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4008, top5_acc: 0.6637, loss_cls: 4.9680, loss: 4.9680 +2024-01-02 13:21:50,035 - pyskl - INFO - Epoch [111][3500/3746] lr: 1.582e-02, eta: 1 day, 1:32:16, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4048, top5_acc: 0.6656, loss_cls: 4.9461, loss: 4.9461 +2024-01-02 13:22:49,469 - pyskl - INFO - Epoch [111][3600/3746] lr: 1.580e-02, eta: 1 day, 1:31:09, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.3947, top5_acc: 0.6642, loss_cls: 4.9620, loss: 4.9620 +2024-01-02 13:23:49,403 - pyskl - INFO - Epoch [111][3700/3746] lr: 1.578e-02, eta: 1 day, 1:30:03, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4072, top5_acc: 0.6695, loss_cls: 4.9462, loss: 4.9462 +2024-01-02 13:24:19,785 - pyskl - INFO - Saving checkpoint at 111 epochs +2024-01-02 13:26:16,443 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 13:26:17,379 - pyskl - INFO - +top1_acc 0.3428 +top5_acc 0.6040 +2024-01-02 13:26:17,379 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 13:26:17,418 - pyskl - INFO - +mean_acc 0.3426 +2024-01-02 13:26:17,427 - pyskl - INFO - Epoch(val) [111][309] top1_acc: 0.3428, top5_acc: 0.6040, mean_class_accuracy: 0.3426 +2024-01-02 13:29:36,916 - pyskl - INFO - Epoch [112][100/3746] lr: 1.575e-02, eta: 1 day, 1:30:34, time: 1.995, data_time: 1.401, memory: 16180, top1_acc: 0.4230, top5_acc: 0.6909, loss_cls: 4.8566, loss: 4.8566 +2024-01-02 13:30:36,655 - pyskl - INFO - Epoch [112][200/3746] lr: 1.573e-02, eta: 1 day, 1:29:28, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4150, top5_acc: 0.6895, loss_cls: 4.8624, loss: 4.8624 +2024-01-02 13:31:36,142 - pyskl - INFO - Epoch [112][300/3746] lr: 1.571e-02, eta: 1 day, 1:28:21, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4158, top5_acc: 0.6848, loss_cls: 4.8525, loss: 4.8525 +2024-01-02 13:32:35,501 - pyskl - INFO - Epoch [112][400/3746] lr: 1.569e-02, eta: 1 day, 1:27:14, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4202, top5_acc: 0.6803, loss_cls: 4.8667, loss: 4.8667 +2024-01-02 13:33:34,892 - pyskl - INFO - Epoch [112][500/3746] lr: 1.567e-02, eta: 1 day, 1:26:07, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4105, top5_acc: 0.6803, loss_cls: 4.9066, loss: 4.9066 +2024-01-02 13:34:34,704 - pyskl - INFO - Epoch [112][600/3746] lr: 1.565e-02, eta: 1 day, 1:25:01, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4259, top5_acc: 0.6936, loss_cls: 4.8131, loss: 4.8131 +2024-01-02 13:35:34,551 - pyskl - INFO - Epoch [112][700/3746] lr: 1.563e-02, eta: 1 day, 1:23:55, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4138, top5_acc: 0.6831, loss_cls: 4.8601, loss: 4.8601 +2024-01-02 13:36:34,163 - pyskl - INFO - Epoch [112][800/3746] lr: 1.561e-02, eta: 1 day, 1:22:48, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4139, top5_acc: 0.6734, loss_cls: 4.9077, loss: 4.9077 +2024-01-02 13:37:33,642 - pyskl - INFO - Epoch [112][900/3746] lr: 1.559e-02, eta: 1 day, 1:21:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4064, top5_acc: 0.6691, loss_cls: 4.9119, loss: 4.9119 +2024-01-02 13:38:33,100 - pyskl - INFO - Epoch [112][1000/3746] lr: 1.557e-02, eta: 1 day, 1:20:34, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4127, top5_acc: 0.6791, loss_cls: 4.8836, loss: 4.8836 +2024-01-02 13:39:32,543 - pyskl - INFO - Epoch [112][1100/3746] lr: 1.555e-02, eta: 1 day, 1:19:28, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4106, top5_acc: 0.6770, loss_cls: 4.9159, loss: 4.9159 +2024-01-02 13:40:32,182 - pyskl - INFO - Epoch [112][1200/3746] lr: 1.553e-02, eta: 1 day, 1:18:21, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4072, top5_acc: 0.6823, loss_cls: 4.8901, loss: 4.8901 +2024-01-02 13:41:32,702 - pyskl - INFO - Epoch [112][1300/3746] lr: 1.551e-02, eta: 1 day, 1:17:16, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.4028, top5_acc: 0.6716, loss_cls: 4.9472, loss: 4.9472 +2024-01-02 13:42:33,185 - pyskl - INFO - Epoch [112][1400/3746] lr: 1.549e-02, eta: 1 day, 1:16:10, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.4144, top5_acc: 0.6775, loss_cls: 4.8979, loss: 4.8979 +2024-01-02 13:43:32,630 - pyskl - INFO - Epoch [112][1500/3746] lr: 1.547e-02, eta: 1 day, 1:15:03, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4231, top5_acc: 0.6866, loss_cls: 4.8572, loss: 4.8572 +2024-01-02 13:44:32,306 - pyskl - INFO - Epoch [112][1600/3746] lr: 1.545e-02, eta: 1 day, 1:13:57, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4073, top5_acc: 0.6733, loss_cls: 4.9351, loss: 4.9351 +2024-01-02 13:45:32,169 - pyskl - INFO - Epoch [112][1700/3746] lr: 1.543e-02, eta: 1 day, 1:12:51, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4011, top5_acc: 0.6686, loss_cls: 4.9385, loss: 4.9385 +2024-01-02 13:46:31,681 - pyskl - INFO - Epoch [112][1800/3746] lr: 1.541e-02, eta: 1 day, 1:11:44, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4134, top5_acc: 0.6687, loss_cls: 4.9379, loss: 4.9379 +2024-01-02 13:47:31,351 - pyskl - INFO - Epoch [112][1900/3746] lr: 1.539e-02, eta: 1 day, 1:10:38, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4109, top5_acc: 0.6659, loss_cls: 4.9385, loss: 4.9385 +2024-01-02 13:48:30,699 - pyskl - INFO - Epoch [112][2000/3746] lr: 1.537e-02, eta: 1 day, 1:09:31, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4048, top5_acc: 0.6675, loss_cls: 4.9393, loss: 4.9393 +2024-01-02 13:49:30,042 - pyskl - INFO - Epoch [112][2100/3746] lr: 1.535e-02, eta: 1 day, 1:08:24, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.3998, top5_acc: 0.6636, loss_cls: 4.9553, loss: 4.9553 +2024-01-02 13:50:29,370 - pyskl - INFO - Epoch [112][2200/3746] lr: 1.533e-02, eta: 1 day, 1:07:17, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4031, top5_acc: 0.6684, loss_cls: 4.9453, loss: 4.9453 +2024-01-02 13:51:28,653 - pyskl - INFO - Epoch [112][2300/3746] lr: 1.531e-02, eta: 1 day, 1:06:11, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4198, top5_acc: 0.6852, loss_cls: 4.8824, loss: 4.8824 +2024-01-02 13:52:28,177 - pyskl - INFO - Epoch [112][2400/3746] lr: 1.529e-02, eta: 1 day, 1:05:04, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4052, top5_acc: 0.6684, loss_cls: 4.9362, loss: 4.9362 +2024-01-02 13:53:27,545 - pyskl - INFO - Epoch [112][2500/3746] lr: 1.527e-02, eta: 1 day, 1:03:57, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4062, top5_acc: 0.6694, loss_cls: 4.9543, loss: 4.9543 +2024-01-02 13:54:26,870 - pyskl - INFO - Epoch [112][2600/3746] lr: 1.525e-02, eta: 1 day, 1:02:51, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4152, top5_acc: 0.6686, loss_cls: 4.9436, loss: 4.9436 +2024-01-02 13:55:26,218 - pyskl - INFO - Epoch [112][2700/3746] lr: 1.523e-02, eta: 1 day, 1:01:44, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4145, top5_acc: 0.6759, loss_cls: 4.8853, loss: 4.8853 +2024-01-02 13:56:25,508 - pyskl - INFO - Epoch [112][2800/3746] lr: 1.521e-02, eta: 1 day, 1:00:37, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4033, top5_acc: 0.6673, loss_cls: 4.9361, loss: 4.9361 +2024-01-02 13:57:25,046 - pyskl - INFO - Epoch [112][2900/3746] lr: 1.519e-02, eta: 1 day, 0:59:31, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.3983, top5_acc: 0.6709, loss_cls: 4.9446, loss: 4.9446 +2024-01-02 13:58:24,448 - pyskl - INFO - Epoch [112][3000/3746] lr: 1.517e-02, eta: 1 day, 0:58:24, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4178, top5_acc: 0.6781, loss_cls: 4.8784, loss: 4.8784 +2024-01-02 13:59:23,932 - pyskl - INFO - Epoch [112][3100/3746] lr: 1.515e-02, eta: 1 day, 0:57:18, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4084, top5_acc: 0.6680, loss_cls: 4.9385, loss: 4.9385 +2024-01-02 14:00:23,855 - pyskl - INFO - Epoch [112][3200/3746] lr: 1.513e-02, eta: 1 day, 0:56:12, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3950, top5_acc: 0.6700, loss_cls: 4.9565, loss: 4.9565 +2024-01-02 14:01:23,875 - pyskl - INFO - Epoch [112][3300/3746] lr: 1.511e-02, eta: 1 day, 0:55:06, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4103, top5_acc: 0.6733, loss_cls: 4.9322, loss: 4.9322 +2024-01-02 14:02:23,268 - pyskl - INFO - Epoch [112][3400/3746] lr: 1.509e-02, eta: 1 day, 0:53:59, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4077, top5_acc: 0.6783, loss_cls: 4.9258, loss: 4.9258 +2024-01-02 14:03:22,930 - pyskl - INFO - Epoch [112][3500/3746] lr: 1.507e-02, eta: 1 day, 0:52:53, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4117, top5_acc: 0.6756, loss_cls: 4.9299, loss: 4.9299 +2024-01-02 14:04:22,862 - pyskl - INFO - Epoch [112][3600/3746] lr: 1.505e-02, eta: 1 day, 0:51:47, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4086, top5_acc: 0.6734, loss_cls: 4.9030, loss: 4.9030 +2024-01-02 14:05:22,652 - pyskl - INFO - Epoch [112][3700/3746] lr: 1.503e-02, eta: 1 day, 0:50:41, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4070, top5_acc: 0.6744, loss_cls: 4.9154, loss: 4.9154 +2024-01-02 14:05:53,190 - pyskl - INFO - Saving checkpoint at 112 epochs +2024-01-02 14:07:49,877 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 14:07:50,690 - pyskl - INFO - +top1_acc 0.3415 +top5_acc 0.6015 +2024-01-02 14:07:50,690 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 14:07:50,723 - pyskl - INFO - +mean_acc 0.3414 +2024-01-02 14:07:50,730 - pyskl - INFO - Epoch(val) [112][309] top1_acc: 0.3415, top5_acc: 0.6015, mean_class_accuracy: 0.3414 +2024-01-02 14:11:03,462 - pyskl - INFO - Epoch [113][100/3746] lr: 1.500e-02, eta: 1 day, 0:50:59, time: 1.927, data_time: 1.335, memory: 16180, top1_acc: 0.4227, top5_acc: 0.6877, loss_cls: 4.8364, loss: 4.8364 +2024-01-02 14:12:02,933 - pyskl - INFO - Epoch [113][200/3746] lr: 1.498e-02, eta: 1 day, 0:49:52, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4259, top5_acc: 0.6909, loss_cls: 4.8513, loss: 4.8513 +2024-01-02 14:13:02,370 - pyskl - INFO - Epoch [113][300/3746] lr: 1.496e-02, eta: 1 day, 0:48:45, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4241, top5_acc: 0.6947, loss_cls: 4.8196, loss: 4.8196 +2024-01-02 14:14:01,819 - pyskl - INFO - Epoch [113][400/3746] lr: 1.494e-02, eta: 1 day, 0:47:39, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4034, top5_acc: 0.6703, loss_cls: 4.9038, loss: 4.9038 +2024-01-02 14:15:01,340 - pyskl - INFO - Epoch [113][500/3746] lr: 1.492e-02, eta: 1 day, 0:46:32, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4208, top5_acc: 0.6889, loss_cls: 4.8594, loss: 4.8594 +2024-01-02 14:16:00,849 - pyskl - INFO - Epoch [113][600/3746] lr: 1.490e-02, eta: 1 day, 0:45:26, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4289, top5_acc: 0.6878, loss_cls: 4.8316, loss: 4.8316 +2024-01-02 14:17:00,575 - pyskl - INFO - Epoch [113][700/3746] lr: 1.488e-02, eta: 1 day, 0:44:20, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4128, top5_acc: 0.6756, loss_cls: 4.8877, loss: 4.8877 +2024-01-02 14:18:00,330 - pyskl - INFO - Epoch [113][800/3746] lr: 1.486e-02, eta: 1 day, 0:43:13, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4050, top5_acc: 0.6694, loss_cls: 4.9323, loss: 4.9323 +2024-01-02 14:18:59,541 - pyskl - INFO - Epoch [113][900/3746] lr: 1.484e-02, eta: 1 day, 0:42:07, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4145, top5_acc: 0.6866, loss_cls: 4.8594, loss: 4.8594 +2024-01-02 14:19:59,073 - pyskl - INFO - Epoch [113][1000/3746] lr: 1.482e-02, eta: 1 day, 0:41:00, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4108, top5_acc: 0.6723, loss_cls: 4.9131, loss: 4.9131 +2024-01-02 14:20:58,772 - pyskl - INFO - Epoch [113][1100/3746] lr: 1.480e-02, eta: 1 day, 0:39:54, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4098, top5_acc: 0.6800, loss_cls: 4.8890, loss: 4.8890 +2024-01-02 14:21:58,541 - pyskl - INFO - Epoch [113][1200/3746] lr: 1.478e-02, eta: 1 day, 0:38:48, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4152, top5_acc: 0.6752, loss_cls: 4.9017, loss: 4.9017 +2024-01-02 14:22:58,690 - pyskl - INFO - Epoch [113][1300/3746] lr: 1.476e-02, eta: 1 day, 0:37:42, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4278, top5_acc: 0.6853, loss_cls: 4.8636, loss: 4.8636 +2024-01-02 14:23:58,926 - pyskl - INFO - Epoch [113][1400/3746] lr: 1.474e-02, eta: 1 day, 0:36:36, time: 0.602, data_time: 0.001, memory: 16180, top1_acc: 0.4161, top5_acc: 0.6855, loss_cls: 4.8889, loss: 4.8889 +2024-01-02 14:24:58,971 - pyskl - INFO - Epoch [113][1500/3746] lr: 1.472e-02, eta: 1 day, 0:35:30, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4117, top5_acc: 0.6703, loss_cls: 4.9202, loss: 4.9202 +2024-01-02 14:25:58,655 - pyskl - INFO - Epoch [113][1600/3746] lr: 1.470e-02, eta: 1 day, 0:34:24, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4097, top5_acc: 0.6820, loss_cls: 4.8900, loss: 4.8900 +2024-01-02 14:26:58,337 - pyskl - INFO - Epoch [113][1700/3746] lr: 1.468e-02, eta: 1 day, 0:33:18, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4197, top5_acc: 0.6730, loss_cls: 4.8769, loss: 4.8769 +2024-01-02 14:27:58,195 - pyskl - INFO - Epoch [113][1800/3746] lr: 1.466e-02, eta: 1 day, 0:32:12, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4042, top5_acc: 0.6703, loss_cls: 4.9324, loss: 4.9324 +2024-01-02 14:28:58,091 - pyskl - INFO - Epoch [113][1900/3746] lr: 1.464e-02, eta: 1 day, 0:31:06, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4084, top5_acc: 0.6697, loss_cls: 4.9251, loss: 4.9251 +2024-01-02 14:29:57,581 - pyskl - INFO - Epoch [113][2000/3746] lr: 1.462e-02, eta: 1 day, 0:30:00, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4100, top5_acc: 0.6659, loss_cls: 4.9228, loss: 4.9228 +2024-01-02 14:30:57,081 - pyskl - INFO - Epoch [113][2100/3746] lr: 1.460e-02, eta: 1 day, 0:28:53, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4225, top5_acc: 0.6783, loss_cls: 4.8755, loss: 4.8755 +2024-01-02 14:31:56,960 - pyskl - INFO - Epoch [113][2200/3746] lr: 1.458e-02, eta: 1 day, 0:27:47, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4048, top5_acc: 0.6736, loss_cls: 4.9584, loss: 4.9584 +2024-01-02 14:32:56,434 - pyskl - INFO - Epoch [113][2300/3746] lr: 1.456e-02, eta: 1 day, 0:26:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4083, top5_acc: 0.6725, loss_cls: 4.9354, loss: 4.9354 +2024-01-02 14:33:56,107 - pyskl - INFO - Epoch [113][2400/3746] lr: 1.454e-02, eta: 1 day, 0:25:35, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4167, top5_acc: 0.6814, loss_cls: 4.8705, loss: 4.8705 +2024-01-02 14:34:55,722 - pyskl - INFO - Epoch [113][2500/3746] lr: 1.452e-02, eta: 1 day, 0:24:29, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4119, top5_acc: 0.6737, loss_cls: 4.8992, loss: 4.8992 +2024-01-02 14:35:55,282 - pyskl - INFO - Epoch [113][2600/3746] lr: 1.450e-02, eta: 1 day, 0:23:22, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4116, top5_acc: 0.6773, loss_cls: 4.8926, loss: 4.8926 +2024-01-02 14:36:54,806 - pyskl - INFO - Epoch [113][2700/3746] lr: 1.448e-02, eta: 1 day, 0:22:16, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4233, top5_acc: 0.6759, loss_cls: 4.9081, loss: 4.9081 +2024-01-02 14:37:54,548 - pyskl - INFO - Epoch [113][2800/3746] lr: 1.446e-02, eta: 1 day, 0:21:10, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4192, top5_acc: 0.6764, loss_cls: 4.8808, loss: 4.8808 +2024-01-02 14:38:54,305 - pyskl - INFO - Epoch [113][2900/3746] lr: 1.444e-02, eta: 1 day, 0:20:04, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4089, top5_acc: 0.6731, loss_cls: 4.9118, loss: 4.9118 +2024-01-02 14:39:53,806 - pyskl - INFO - Epoch [113][3000/3746] lr: 1.442e-02, eta: 1 day, 0:18:58, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4255, top5_acc: 0.6786, loss_cls: 4.8717, loss: 4.8717 +2024-01-02 14:40:53,430 - pyskl - INFO - Epoch [113][3100/3746] lr: 1.440e-02, eta: 1 day, 0:17:52, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4134, top5_acc: 0.6714, loss_cls: 4.9162, loss: 4.9162 +2024-01-02 14:41:53,335 - pyskl - INFO - Epoch [113][3200/3746] lr: 1.438e-02, eta: 1 day, 0:16:46, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.3987, top5_acc: 0.6791, loss_cls: 4.9427, loss: 4.9427 +2024-01-02 14:42:53,922 - pyskl - INFO - Epoch [113][3300/3746] lr: 1.436e-02, eta: 1 day, 0:15:41, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.4233, top5_acc: 0.6822, loss_cls: 4.8845, loss: 4.8845 +2024-01-02 14:43:53,589 - pyskl - INFO - Epoch [113][3400/3746] lr: 1.434e-02, eta: 1 day, 0:14:35, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4186, top5_acc: 0.6755, loss_cls: 4.9049, loss: 4.9049 +2024-01-02 14:44:53,458 - pyskl - INFO - Epoch [113][3500/3746] lr: 1.432e-02, eta: 1 day, 0:13:29, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4103, top5_acc: 0.6752, loss_cls: 4.8959, loss: 4.8959 +2024-01-02 14:45:53,285 - pyskl - INFO - Epoch [113][3600/3746] lr: 1.431e-02, eta: 1 day, 0:12:23, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4033, top5_acc: 0.6714, loss_cls: 4.9375, loss: 4.9375 +2024-01-02 14:46:53,292 - pyskl - INFO - Epoch [113][3700/3746] lr: 1.429e-02, eta: 1 day, 0:11:17, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4078, top5_acc: 0.6744, loss_cls: 4.9155, loss: 4.9155 +2024-01-02 14:47:23,254 - pyskl - INFO - Saving checkpoint at 113 epochs +2024-01-02 14:49:20,247 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 14:49:21,328 - pyskl - INFO - +top1_acc 0.3519 +top5_acc 0.6065 +2024-01-02 14:49:21,328 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 14:49:21,366 - pyskl - INFO - +mean_acc 0.3515 +2024-01-02 14:49:21,373 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_109.pth was removed +2024-01-02 14:49:21,704 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. +2024-01-02 14:49:21,705 - pyskl - INFO - Best top1_acc is 0.3519 at 113 epoch. +2024-01-02 14:49:21,718 - pyskl - INFO - Epoch(val) [113][309] top1_acc: 0.3519, top5_acc: 0.6065, mean_class_accuracy: 0.3515 +2024-01-02 14:52:42,229 - pyskl - INFO - Epoch [114][100/3746] lr: 1.426e-02, eta: 1 day, 0:11:37, time: 2.005, data_time: 1.411, memory: 16180, top1_acc: 0.4200, top5_acc: 0.6977, loss_cls: 4.8282, loss: 4.8282 +2024-01-02 14:53:41,904 - pyskl - INFO - Epoch [114][200/3746] lr: 1.424e-02, eta: 1 day, 0:10:31, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4236, top5_acc: 0.6977, loss_cls: 4.8220, loss: 4.8220 +2024-01-02 14:54:41,293 - pyskl - INFO - Epoch [114][300/3746] lr: 1.422e-02, eta: 1 day, 0:09:24, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4395, top5_acc: 0.6886, loss_cls: 4.7824, loss: 4.7824 +2024-01-02 14:55:40,708 - pyskl - INFO - Epoch [114][400/3746] lr: 1.420e-02, eta: 1 day, 0:08:18, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4223, top5_acc: 0.6850, loss_cls: 4.8487, loss: 4.8487 +2024-01-02 14:56:40,278 - pyskl - INFO - Epoch [114][500/3746] lr: 1.418e-02, eta: 1 day, 0:07:12, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4181, top5_acc: 0.6839, loss_cls: 4.8568, loss: 4.8568 +2024-01-02 14:57:40,166 - pyskl - INFO - Epoch [114][600/3746] lr: 1.416e-02, eta: 1 day, 0:06:06, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4356, top5_acc: 0.6889, loss_cls: 4.8060, loss: 4.8060 +2024-01-02 14:58:40,234 - pyskl - INFO - Epoch [114][700/3746] lr: 1.414e-02, eta: 1 day, 0:05:00, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4206, top5_acc: 0.6797, loss_cls: 4.8878, loss: 4.8878 +2024-01-02 14:59:39,767 - pyskl - INFO - Epoch [114][800/3746] lr: 1.412e-02, eta: 1 day, 0:03:54, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4216, top5_acc: 0.6830, loss_cls: 4.8414, loss: 4.8414 +2024-01-02 15:00:39,361 - pyskl - INFO - Epoch [114][900/3746] lr: 1.410e-02, eta: 1 day, 0:02:48, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4200, top5_acc: 0.6817, loss_cls: 4.8630, loss: 4.8630 +2024-01-02 15:01:38,838 - pyskl - INFO - Epoch [114][1000/3746] lr: 1.408e-02, eta: 1 day, 0:01:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4095, top5_acc: 0.6847, loss_cls: 4.8744, loss: 4.8744 +2024-01-02 15:02:38,372 - pyskl - INFO - Epoch [114][1100/3746] lr: 1.406e-02, eta: 1 day, 0:00:35, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4153, top5_acc: 0.6839, loss_cls: 4.8809, loss: 4.8809 +2024-01-02 15:03:38,026 - pyskl - INFO - Epoch [114][1200/3746] lr: 1.404e-02, eta: 23:59:29, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4203, top5_acc: 0.6834, loss_cls: 4.8638, loss: 4.8638 +2024-01-02 15:04:37,606 - pyskl - INFO - Epoch [114][1300/3746] lr: 1.402e-02, eta: 23:58:23, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4311, top5_acc: 0.6816, loss_cls: 4.8219, loss: 4.8219 +2024-01-02 15:05:37,584 - pyskl - INFO - Epoch [114][1400/3746] lr: 1.400e-02, eta: 23:57:17, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4111, top5_acc: 0.6781, loss_cls: 4.8744, loss: 4.8744 +2024-01-02 15:06:37,963 - pyskl - INFO - Epoch [114][1500/3746] lr: 1.398e-02, eta: 23:56:12, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.4236, top5_acc: 0.6777, loss_cls: 4.8482, loss: 4.8482 +2024-01-02 15:07:37,520 - pyskl - INFO - Epoch [114][1600/3746] lr: 1.397e-02, eta: 23:55:06, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4183, top5_acc: 0.6823, loss_cls: 4.8757, loss: 4.8757 +2024-01-02 15:08:36,982 - pyskl - INFO - Epoch [114][1700/3746] lr: 1.395e-02, eta: 23:53:59, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4167, top5_acc: 0.6827, loss_cls: 4.8485, loss: 4.8485 +2024-01-02 15:09:37,014 - pyskl - INFO - Epoch [114][1800/3746] lr: 1.393e-02, eta: 23:52:54, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4092, top5_acc: 0.6767, loss_cls: 4.8896, loss: 4.8896 +2024-01-02 15:10:36,412 - pyskl - INFO - Epoch [114][1900/3746] lr: 1.391e-02, eta: 23:51:47, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4145, top5_acc: 0.6863, loss_cls: 4.8660, loss: 4.8660 +2024-01-02 15:11:35,837 - pyskl - INFO - Epoch [114][2000/3746] lr: 1.389e-02, eta: 23:50:41, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4295, top5_acc: 0.6872, loss_cls: 4.8412, loss: 4.8412 +2024-01-02 15:12:35,234 - pyskl - INFO - Epoch [114][2100/3746] lr: 1.387e-02, eta: 23:49:35, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4308, top5_acc: 0.6905, loss_cls: 4.8083, loss: 4.8083 +2024-01-02 15:13:35,166 - pyskl - INFO - Epoch [114][2200/3746] lr: 1.385e-02, eta: 23:48:29, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4091, top5_acc: 0.6716, loss_cls: 4.9116, loss: 4.9116 +2024-01-02 15:14:34,821 - pyskl - INFO - Epoch [114][2300/3746] lr: 1.383e-02, eta: 23:47:23, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4181, top5_acc: 0.6784, loss_cls: 4.8652, loss: 4.8652 +2024-01-02 15:15:34,700 - pyskl - INFO - Epoch [114][2400/3746] lr: 1.381e-02, eta: 23:46:17, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4148, top5_acc: 0.6763, loss_cls: 4.8916, loss: 4.8916 +2024-01-02 15:16:34,018 - pyskl - INFO - Epoch [114][2500/3746] lr: 1.379e-02, eta: 23:45:11, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4084, top5_acc: 0.6708, loss_cls: 4.9348, loss: 4.9348 +2024-01-02 15:17:34,116 - pyskl - INFO - Epoch [114][2600/3746] lr: 1.377e-02, eta: 23:44:06, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4147, top5_acc: 0.6813, loss_cls: 4.8896, loss: 4.8896 +2024-01-02 15:18:34,554 - pyskl - INFO - Epoch [114][2700/3746] lr: 1.375e-02, eta: 23:43:00, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.4219, top5_acc: 0.6802, loss_cls: 4.8899, loss: 4.8899 +2024-01-02 15:19:35,095 - pyskl - INFO - Epoch [114][2800/3746] lr: 1.373e-02, eta: 23:41:55, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.4133, top5_acc: 0.6769, loss_cls: 4.9040, loss: 4.9040 +2024-01-02 15:20:34,603 - pyskl - INFO - Epoch [114][2900/3746] lr: 1.371e-02, eta: 23:40:49, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4130, top5_acc: 0.6702, loss_cls: 4.9291, loss: 4.9291 +2024-01-02 15:21:34,242 - pyskl - INFO - Epoch [114][3000/3746] lr: 1.369e-02, eta: 23:39:43, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4091, top5_acc: 0.6783, loss_cls: 4.9114, loss: 4.9114 +2024-01-02 15:22:33,737 - pyskl - INFO - Epoch [114][3100/3746] lr: 1.368e-02, eta: 23:38:37, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4113, top5_acc: 0.6753, loss_cls: 4.8940, loss: 4.8940 +2024-01-02 15:23:33,903 - pyskl - INFO - Epoch [114][3200/3746] lr: 1.366e-02, eta: 23:37:32, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4252, top5_acc: 0.6848, loss_cls: 4.8502, loss: 4.8502 +2024-01-02 15:24:34,245 - pyskl - INFO - Epoch [114][3300/3746] lr: 1.364e-02, eta: 23:36:26, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4041, top5_acc: 0.6720, loss_cls: 4.9215, loss: 4.9215 +2024-01-02 15:25:33,595 - pyskl - INFO - Epoch [114][3400/3746] lr: 1.362e-02, eta: 23:35:20, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4163, top5_acc: 0.6695, loss_cls: 4.9187, loss: 4.9187 +2024-01-02 15:26:33,136 - pyskl - INFO - Epoch [114][3500/3746] lr: 1.360e-02, eta: 23:34:14, time: 0.595, data_time: 0.001, memory: 16180, top1_acc: 0.4169, top5_acc: 0.6783, loss_cls: 4.8826, loss: 4.8826 +2024-01-02 15:27:32,769 - pyskl - INFO - Epoch [114][3600/3746] lr: 1.358e-02, eta: 23:33:08, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4055, top5_acc: 0.6689, loss_cls: 4.9419, loss: 4.9419 +2024-01-02 15:28:33,034 - pyskl - INFO - Epoch [114][3700/3746] lr: 1.356e-02, eta: 23:32:03, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4206, top5_acc: 0.6789, loss_cls: 4.8798, loss: 4.8798 +2024-01-02 15:29:03,472 - pyskl - INFO - Saving checkpoint at 114 epochs +2024-01-02 15:31:00,069 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 15:31:01,016 - pyskl - INFO - +top1_acc 0.3535 +top5_acc 0.6078 +2024-01-02 15:31:01,017 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 15:31:01,047 - pyskl - INFO - +mean_acc 0.3531 +2024-01-02 15:31:01,053 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_113.pth was removed +2024-01-02 15:31:01,274 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2024-01-02 15:31:01,275 - pyskl - INFO - Best top1_acc is 0.3535 at 114 epoch. +2024-01-02 15:31:01,281 - pyskl - INFO - Epoch(val) [114][309] top1_acc: 0.3535, top5_acc: 0.6078, mean_class_accuracy: 0.3531 +2024-01-02 15:34:22,256 - pyskl - INFO - Epoch [115][100/3746] lr: 1.353e-02, eta: 23:32:18, time: 2.010, data_time: 1.416, memory: 16180, top1_acc: 0.4291, top5_acc: 0.6978, loss_cls: 4.7745, loss: 4.7745 +2024-01-02 15:35:21,966 - pyskl - INFO - Epoch [115][200/3746] lr: 1.351e-02, eta: 23:31:12, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4292, top5_acc: 0.6964, loss_cls: 4.7918, loss: 4.7918 +2024-01-02 15:36:21,040 - pyskl - INFO - Epoch [115][300/3746] lr: 1.349e-02, eta: 23:30:05, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4295, top5_acc: 0.7023, loss_cls: 4.8027, loss: 4.8027 +2024-01-02 15:37:20,081 - pyskl - INFO - Epoch [115][400/3746] lr: 1.348e-02, eta: 23:28:58, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4294, top5_acc: 0.6886, loss_cls: 4.8111, loss: 4.8111 +2024-01-02 15:38:19,382 - pyskl - INFO - Epoch [115][500/3746] lr: 1.346e-02, eta: 23:27:52, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4283, top5_acc: 0.6867, loss_cls: 4.8523, loss: 4.8523 +2024-01-02 15:39:19,009 - pyskl - INFO - Epoch [115][600/3746] lr: 1.344e-02, eta: 23:26:46, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4316, top5_acc: 0.6855, loss_cls: 4.8203, loss: 4.8203 +2024-01-02 15:40:19,252 - pyskl - INFO - Epoch [115][700/3746] lr: 1.342e-02, eta: 23:25:41, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4080, top5_acc: 0.6823, loss_cls: 4.8697, loss: 4.8697 +2024-01-02 15:41:19,262 - pyskl - INFO - Epoch [115][800/3746] lr: 1.340e-02, eta: 23:24:35, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4228, top5_acc: 0.6752, loss_cls: 4.8667, loss: 4.8667 +2024-01-02 15:42:18,724 - pyskl - INFO - Epoch [115][900/3746] lr: 1.338e-02, eta: 23:23:29, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4338, top5_acc: 0.6895, loss_cls: 4.8293, loss: 4.8293 +2024-01-02 15:43:18,239 - pyskl - INFO - Epoch [115][1000/3746] lr: 1.336e-02, eta: 23:22:23, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4311, top5_acc: 0.6919, loss_cls: 4.7813, loss: 4.7813 +2024-01-02 15:44:17,598 - pyskl - INFO - Epoch [115][1100/3746] lr: 1.334e-02, eta: 23:21:17, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4264, top5_acc: 0.6895, loss_cls: 4.8318, loss: 4.8318 +2024-01-02 15:45:17,061 - pyskl - INFO - Epoch [115][1200/3746] lr: 1.332e-02, eta: 23:20:11, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4148, top5_acc: 0.6855, loss_cls: 4.8781, loss: 4.8781 +2024-01-02 15:46:16,430 - pyskl - INFO - Epoch [115][1300/3746] lr: 1.330e-02, eta: 23:19:04, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4267, top5_acc: 0.6858, loss_cls: 4.8190, loss: 4.8190 +2024-01-02 15:47:16,353 - pyskl - INFO - Epoch [115][1400/3746] lr: 1.328e-02, eta: 23:17:59, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4202, top5_acc: 0.6827, loss_cls: 4.8702, loss: 4.8702 +2024-01-02 15:48:17,022 - pyskl - INFO - Epoch [115][1500/3746] lr: 1.327e-02, eta: 23:16:54, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.4223, top5_acc: 0.6837, loss_cls: 4.8693, loss: 4.8693 +2024-01-02 15:49:17,052 - pyskl - INFO - Epoch [115][1600/3746] lr: 1.325e-02, eta: 23:15:48, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4178, top5_acc: 0.6806, loss_cls: 4.8581, loss: 4.8581 +2024-01-02 15:50:16,677 - pyskl - INFO - Epoch [115][1700/3746] lr: 1.323e-02, eta: 23:14:42, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4228, top5_acc: 0.6886, loss_cls: 4.8159, loss: 4.8159 +2024-01-02 15:51:16,185 - pyskl - INFO - Epoch [115][1800/3746] lr: 1.321e-02, eta: 23:13:36, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4170, top5_acc: 0.6809, loss_cls: 4.8517, loss: 4.8517 +2024-01-02 15:52:15,799 - pyskl - INFO - Epoch [115][1900/3746] lr: 1.319e-02, eta: 23:12:30, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4186, top5_acc: 0.6828, loss_cls: 4.8784, loss: 4.8784 +2024-01-02 15:53:15,303 - pyskl - INFO - Epoch [115][2000/3746] lr: 1.317e-02, eta: 23:11:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4313, top5_acc: 0.6842, loss_cls: 4.8297, loss: 4.8297 +2024-01-02 15:54:14,956 - pyskl - INFO - Epoch [115][2100/3746] lr: 1.315e-02, eta: 23:10:19, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4202, top5_acc: 0.6905, loss_cls: 4.8464, loss: 4.8464 +2024-01-02 15:55:14,489 - pyskl - INFO - Epoch [115][2200/3746] lr: 1.313e-02, eta: 23:09:13, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4211, top5_acc: 0.6856, loss_cls: 4.8561, loss: 4.8561 +2024-01-02 15:56:13,922 - pyskl - INFO - Epoch [115][2300/3746] lr: 1.311e-02, eta: 23:08:07, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4103, top5_acc: 0.6745, loss_cls: 4.9100, loss: 4.9100 +2024-01-02 15:57:13,840 - pyskl - INFO - Epoch [115][2400/3746] lr: 1.310e-02, eta: 23:07:01, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4214, top5_acc: 0.6847, loss_cls: 4.8401, loss: 4.8401 +2024-01-02 15:58:13,506 - pyskl - INFO - Epoch [115][2500/3746] lr: 1.308e-02, eta: 23:05:55, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4164, top5_acc: 0.6833, loss_cls: 4.8626, loss: 4.8626 +2024-01-02 15:59:13,236 - pyskl - INFO - Epoch [115][2600/3746] lr: 1.306e-02, eta: 23:04:50, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4284, top5_acc: 0.6823, loss_cls: 4.8403, loss: 4.8403 +2024-01-02 16:00:12,854 - pyskl - INFO - Epoch [115][2700/3746] lr: 1.304e-02, eta: 23:03:44, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4280, top5_acc: 0.6886, loss_cls: 4.8451, loss: 4.8451 +2024-01-02 16:01:12,543 - pyskl - INFO - Epoch [115][2800/3746] lr: 1.302e-02, eta: 23:02:38, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4327, top5_acc: 0.6928, loss_cls: 4.8101, loss: 4.8101 +2024-01-02 16:02:11,787 - pyskl - INFO - Epoch [115][2900/3746] lr: 1.300e-02, eta: 23:01:32, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4198, top5_acc: 0.6789, loss_cls: 4.8639, loss: 4.8639 +2024-01-02 16:03:11,697 - pyskl - INFO - Epoch [115][3000/3746] lr: 1.298e-02, eta: 23:00:26, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4111, top5_acc: 0.6811, loss_cls: 4.8730, loss: 4.8730 +2024-01-02 16:04:11,647 - pyskl - INFO - Epoch [115][3100/3746] lr: 1.296e-02, eta: 22:59:21, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4163, top5_acc: 0.6814, loss_cls: 4.8790, loss: 4.8790 +2024-01-02 16:05:11,880 - pyskl - INFO - Epoch [115][3200/3746] lr: 1.295e-02, eta: 22:58:16, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4127, top5_acc: 0.6827, loss_cls: 4.8758, loss: 4.8758 +2024-01-02 16:06:12,141 - pyskl - INFO - Epoch [115][3300/3746] lr: 1.293e-02, eta: 22:57:10, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4192, top5_acc: 0.6819, loss_cls: 4.8647, loss: 4.8647 +2024-01-02 16:07:11,865 - pyskl - INFO - Epoch [115][3400/3746] lr: 1.291e-02, eta: 22:56:05, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4269, top5_acc: 0.6864, loss_cls: 4.8484, loss: 4.8484 +2024-01-02 16:08:11,356 - pyskl - INFO - Epoch [115][3500/3746] lr: 1.289e-02, eta: 22:54:59, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4264, top5_acc: 0.6919, loss_cls: 4.8415, loss: 4.8415 +2024-01-02 16:09:11,028 - pyskl - INFO - Epoch [115][3600/3746] lr: 1.287e-02, eta: 22:53:53, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4148, top5_acc: 0.6727, loss_cls: 4.9046, loss: 4.9046 +2024-01-02 16:10:10,840 - pyskl - INFO - Epoch [115][3700/3746] lr: 1.285e-02, eta: 22:52:48, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4103, top5_acc: 0.6687, loss_cls: 4.9073, loss: 4.9073 +2024-01-02 16:10:41,395 - pyskl - INFO - Saving checkpoint at 115 epochs +2024-01-02 16:12:36,699 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 16:12:37,677 - pyskl - INFO - +top1_acc 0.3500 +top5_acc 0.6113 +2024-01-02 16:12:37,678 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 16:12:37,716 - pyskl - INFO - +mean_acc 0.3499 +2024-01-02 16:12:37,723 - pyskl - INFO - Epoch(val) [115][309] top1_acc: 0.3500, top5_acc: 0.6113, mean_class_accuracy: 0.3499 +2024-01-02 16:16:01,488 - pyskl - INFO - Epoch [116][100/3746] lr: 1.282e-02, eta: 22:52:59, time: 2.038, data_time: 1.441, memory: 16180, top1_acc: 0.4405, top5_acc: 0.7000, loss_cls: 4.7426, loss: 4.7426 +2024-01-02 16:17:01,179 - pyskl - INFO - Epoch [116][200/3746] lr: 1.281e-02, eta: 22:51:53, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4375, top5_acc: 0.6969, loss_cls: 4.7595, loss: 4.7595 +2024-01-02 16:18:00,615 - pyskl - INFO - Epoch [116][300/3746] lr: 1.279e-02, eta: 22:50:47, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4383, top5_acc: 0.7033, loss_cls: 4.7678, loss: 4.7678 +2024-01-02 16:19:00,120 - pyskl - INFO - Epoch [116][400/3746] lr: 1.277e-02, eta: 22:49:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4305, top5_acc: 0.6895, loss_cls: 4.8085, loss: 4.8085 +2024-01-02 16:19:59,830 - pyskl - INFO - Epoch [116][500/3746] lr: 1.275e-02, eta: 22:48:35, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4327, top5_acc: 0.6897, loss_cls: 4.8121, loss: 4.8121 +2024-01-02 16:20:59,604 - pyskl - INFO - Epoch [116][600/3746] lr: 1.273e-02, eta: 22:47:30, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4163, top5_acc: 0.6848, loss_cls: 4.8651, loss: 4.8651 +2024-01-02 16:21:59,260 - pyskl - INFO - Epoch [116][700/3746] lr: 1.271e-02, eta: 22:46:24, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4259, top5_acc: 0.6925, loss_cls: 4.8057, loss: 4.8057 +2024-01-02 16:22:58,722 - pyskl - INFO - Epoch [116][800/3746] lr: 1.269e-02, eta: 22:45:18, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4289, top5_acc: 0.6941, loss_cls: 4.8026, loss: 4.8026 +2024-01-02 16:23:58,165 - pyskl - INFO - Epoch [116][900/3746] lr: 1.268e-02, eta: 22:44:12, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4231, top5_acc: 0.6883, loss_cls: 4.8294, loss: 4.8294 +2024-01-02 16:24:58,555 - pyskl - INFO - Epoch [116][1000/3746] lr: 1.266e-02, eta: 22:43:07, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.4286, top5_acc: 0.6897, loss_cls: 4.8370, loss: 4.8370 +2024-01-02 16:25:58,999 - pyskl - INFO - Epoch [116][1100/3746] lr: 1.264e-02, eta: 22:42:02, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.4292, top5_acc: 0.6948, loss_cls: 4.8087, loss: 4.8087 +2024-01-02 16:26:58,804 - pyskl - INFO - Epoch [116][1200/3746] lr: 1.262e-02, eta: 22:40:56, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4325, top5_acc: 0.6936, loss_cls: 4.8035, loss: 4.8035 +2024-01-02 16:27:58,617 - pyskl - INFO - Epoch [116][1300/3746] lr: 1.260e-02, eta: 22:39:51, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4264, top5_acc: 0.6841, loss_cls: 4.8212, loss: 4.8212 +2024-01-02 16:28:58,776 - pyskl - INFO - Epoch [116][1400/3746] lr: 1.258e-02, eta: 22:38:45, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4223, top5_acc: 0.6864, loss_cls: 4.8520, loss: 4.8520 +2024-01-02 16:29:58,889 - pyskl - INFO - Epoch [116][1500/3746] lr: 1.256e-02, eta: 22:37:40, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4219, top5_acc: 0.6858, loss_cls: 4.8621, loss: 4.8621 +2024-01-02 16:30:59,519 - pyskl - INFO - Epoch [116][1600/3746] lr: 1.255e-02, eta: 22:36:35, time: 0.606, data_time: 0.000, memory: 16180, top1_acc: 0.4202, top5_acc: 0.6884, loss_cls: 4.8437, loss: 4.8437 +2024-01-02 16:31:59,391 - pyskl - INFO - Epoch [116][1700/3746] lr: 1.253e-02, eta: 22:35:30, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4156, top5_acc: 0.6781, loss_cls: 4.8764, loss: 4.8764 +2024-01-02 16:32:59,386 - pyskl - INFO - Epoch [116][1800/3746] lr: 1.251e-02, eta: 22:34:24, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4250, top5_acc: 0.6847, loss_cls: 4.8363, loss: 4.8363 +2024-01-02 16:33:59,349 - pyskl - INFO - Epoch [116][1900/3746] lr: 1.249e-02, eta: 22:33:19, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4164, top5_acc: 0.6858, loss_cls: 4.8568, loss: 4.8568 +2024-01-02 16:34:58,880 - pyskl - INFO - Epoch [116][2000/3746] lr: 1.247e-02, eta: 22:32:13, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4228, top5_acc: 0.6830, loss_cls: 4.8255, loss: 4.8255 +2024-01-02 16:35:58,233 - pyskl - INFO - Epoch [116][2100/3746] lr: 1.245e-02, eta: 22:31:07, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4255, top5_acc: 0.6984, loss_cls: 4.7929, loss: 4.7929 +2024-01-02 16:36:57,659 - pyskl - INFO - Epoch [116][2200/3746] lr: 1.243e-02, eta: 22:30:01, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4261, top5_acc: 0.6864, loss_cls: 4.8553, loss: 4.8553 +2024-01-02 16:37:57,071 - pyskl - INFO - Epoch [116][2300/3746] lr: 1.242e-02, eta: 22:28:55, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4264, top5_acc: 0.6844, loss_cls: 4.8362, loss: 4.8362 +2024-01-02 16:38:56,830 - pyskl - INFO - Epoch [116][2400/3746] lr: 1.240e-02, eta: 22:27:50, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4291, top5_acc: 0.6866, loss_cls: 4.8380, loss: 4.8380 +2024-01-02 16:39:56,318 - pyskl - INFO - Epoch [116][2500/3746] lr: 1.238e-02, eta: 22:26:44, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4294, top5_acc: 0.6830, loss_cls: 4.8441, loss: 4.8441 +2024-01-02 16:40:55,838 - pyskl - INFO - Epoch [116][2600/3746] lr: 1.236e-02, eta: 22:25:38, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4253, top5_acc: 0.6883, loss_cls: 4.8526, loss: 4.8526 +2024-01-02 16:41:55,760 - pyskl - INFO - Epoch [116][2700/3746] lr: 1.234e-02, eta: 22:24:33, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4202, top5_acc: 0.6867, loss_cls: 4.8481, loss: 4.8481 +2024-01-02 16:42:55,598 - pyskl - INFO - Epoch [116][2800/3746] lr: 1.232e-02, eta: 22:23:27, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4308, top5_acc: 0.6884, loss_cls: 4.8321, loss: 4.8321 +2024-01-02 16:43:55,373 - pyskl - INFO - Epoch [116][2900/3746] lr: 1.231e-02, eta: 22:22:22, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4225, top5_acc: 0.6864, loss_cls: 4.8420, loss: 4.8420 +2024-01-02 16:44:54,882 - pyskl - INFO - Epoch [116][3000/3746] lr: 1.229e-02, eta: 22:21:16, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4192, top5_acc: 0.6797, loss_cls: 4.8601, loss: 4.8601 +2024-01-02 16:45:54,243 - pyskl - INFO - Epoch [116][3100/3746] lr: 1.227e-02, eta: 22:20:10, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4270, top5_acc: 0.6847, loss_cls: 4.8335, loss: 4.8335 +2024-01-02 16:46:54,265 - pyskl - INFO - Epoch [116][3200/3746] lr: 1.225e-02, eta: 22:19:05, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4267, top5_acc: 0.6855, loss_cls: 4.8445, loss: 4.8445 +2024-01-02 16:47:55,417 - pyskl - INFO - Epoch [116][3300/3746] lr: 1.223e-02, eta: 22:18:01, time: 0.612, data_time: 0.000, memory: 16180, top1_acc: 0.4192, top5_acc: 0.6869, loss_cls: 4.8434, loss: 4.8434 +2024-01-02 16:48:55,018 - pyskl - INFO - Epoch [116][3400/3746] lr: 1.221e-02, eta: 22:16:55, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4270, top5_acc: 0.6856, loss_cls: 4.8415, loss: 4.8415 +2024-01-02 16:49:54,714 - pyskl - INFO - Epoch [116][3500/3746] lr: 1.220e-02, eta: 22:15:49, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4181, top5_acc: 0.6756, loss_cls: 4.8706, loss: 4.8706 +2024-01-02 16:50:54,516 - pyskl - INFO - Epoch [116][3600/3746] lr: 1.218e-02, eta: 22:14:44, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4302, top5_acc: 0.6853, loss_cls: 4.8246, loss: 4.8246 +2024-01-02 16:51:54,582 - pyskl - INFO - Epoch [116][3700/3746] lr: 1.216e-02, eta: 22:13:39, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4313, top5_acc: 0.6987, loss_cls: 4.7889, loss: 4.7889 +2024-01-02 16:52:25,601 - pyskl - INFO - Saving checkpoint at 116 epochs +2024-01-02 16:54:21,967 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 16:54:22,806 - pyskl - INFO - +top1_acc 0.3578 +top5_acc 0.6175 +2024-01-02 16:54:22,806 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 16:54:22,837 - pyskl - INFO - +mean_acc 0.3577 +2024-01-02 16:54:22,842 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_114.pth was removed +2024-01-02 16:54:23,073 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2024-01-02 16:54:23,073 - pyskl - INFO - Best top1_acc is 0.3578 at 116 epoch. +2024-01-02 16:54:23,084 - pyskl - INFO - Epoch(val) [116][309] top1_acc: 0.3578, top5_acc: 0.6175, mean_class_accuracy: 0.3577 +2024-01-02 16:57:40,356 - pyskl - INFO - Epoch [117][100/3746] lr: 1.213e-02, eta: 22:13:39, time: 1.973, data_time: 1.379, memory: 16180, top1_acc: 0.4397, top5_acc: 0.7028, loss_cls: 4.7495, loss: 4.7495 +2024-01-02 16:58:39,835 - pyskl - INFO - Epoch [117][200/3746] lr: 1.211e-02, eta: 22:12:33, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4366, top5_acc: 0.6934, loss_cls: 4.8021, loss: 4.8021 +2024-01-02 16:59:38,912 - pyskl - INFO - Epoch [117][300/3746] lr: 1.210e-02, eta: 22:11:27, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4411, top5_acc: 0.6973, loss_cls: 4.7564, loss: 4.7564 +2024-01-02 17:00:38,185 - pyskl - INFO - Epoch [117][400/3746] lr: 1.208e-02, eta: 22:10:21, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4509, top5_acc: 0.7127, loss_cls: 4.7003, loss: 4.7003 +2024-01-02 17:01:37,649 - pyskl - INFO - Epoch [117][500/3746] lr: 1.206e-02, eta: 22:09:15, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4389, top5_acc: 0.7028, loss_cls: 4.7464, loss: 4.7464 +2024-01-02 17:02:36,893 - pyskl - INFO - Epoch [117][600/3746] lr: 1.204e-02, eta: 22:08:09, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4375, top5_acc: 0.7027, loss_cls: 4.7556, loss: 4.7556 +2024-01-02 17:03:36,370 - pyskl - INFO - Epoch [117][700/3746] lr: 1.202e-02, eta: 22:07:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4339, top5_acc: 0.7069, loss_cls: 4.7735, loss: 4.7735 +2024-01-02 17:04:35,657 - pyskl - INFO - Epoch [117][800/3746] lr: 1.200e-02, eta: 22:05:57, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4305, top5_acc: 0.6887, loss_cls: 4.8196, loss: 4.8196 +2024-01-02 17:05:34,985 - pyskl - INFO - Epoch [117][900/3746] lr: 1.199e-02, eta: 22:04:52, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4259, top5_acc: 0.6950, loss_cls: 4.8106, loss: 4.8106 +2024-01-02 17:06:34,427 - pyskl - INFO - Epoch [117][1000/3746] lr: 1.197e-02, eta: 22:03:46, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4267, top5_acc: 0.6908, loss_cls: 4.8236, loss: 4.8236 +2024-01-02 17:07:34,013 - pyskl - INFO - Epoch [117][1100/3746] lr: 1.195e-02, eta: 22:02:40, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4273, top5_acc: 0.6916, loss_cls: 4.8211, loss: 4.8211 +2024-01-02 17:08:33,698 - pyskl - INFO - Epoch [117][1200/3746] lr: 1.193e-02, eta: 22:01:35, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4195, top5_acc: 0.6877, loss_cls: 4.8376, loss: 4.8376 +2024-01-02 17:09:33,422 - pyskl - INFO - Epoch [117][1300/3746] lr: 1.191e-02, eta: 22:00:29, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4333, top5_acc: 0.6983, loss_cls: 4.7686, loss: 4.7686 +2024-01-02 17:10:32,891 - pyskl - INFO - Epoch [117][1400/3746] lr: 1.190e-02, eta: 21:59:23, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4258, top5_acc: 0.6931, loss_cls: 4.8172, loss: 4.8172 +2024-01-02 17:11:32,386 - pyskl - INFO - Epoch [117][1500/3746] lr: 1.188e-02, eta: 21:58:18, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4313, top5_acc: 0.6887, loss_cls: 4.8211, loss: 4.8211 +2024-01-02 17:12:32,408 - pyskl - INFO - Epoch [117][1600/3746] lr: 1.186e-02, eta: 21:57:12, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4314, top5_acc: 0.6992, loss_cls: 4.7911, loss: 4.7911 +2024-01-02 17:13:32,877 - pyskl - INFO - Epoch [117][1700/3746] lr: 1.184e-02, eta: 21:56:07, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.4366, top5_acc: 0.7003, loss_cls: 4.7801, loss: 4.7801 +2024-01-02 17:14:32,915 - pyskl - INFO - Epoch [117][1800/3746] lr: 1.182e-02, eta: 21:55:02, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4369, top5_acc: 0.6894, loss_cls: 4.7970, loss: 4.7970 +2024-01-02 17:15:32,861 - pyskl - INFO - Epoch [117][1900/3746] lr: 1.181e-02, eta: 21:53:57, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4291, top5_acc: 0.6947, loss_cls: 4.7965, loss: 4.7965 +2024-01-02 17:16:32,549 - pyskl - INFO - Epoch [117][2000/3746] lr: 1.179e-02, eta: 21:52:51, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4322, top5_acc: 0.6894, loss_cls: 4.8127, loss: 4.8127 +2024-01-02 17:17:31,851 - pyskl - INFO - Epoch [117][2100/3746] lr: 1.177e-02, eta: 21:51:46, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4314, top5_acc: 0.6870, loss_cls: 4.8153, loss: 4.8153 +2024-01-02 17:18:31,462 - pyskl - INFO - Epoch [117][2200/3746] lr: 1.175e-02, eta: 21:50:40, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4153, top5_acc: 0.6970, loss_cls: 4.8479, loss: 4.8479 +2024-01-02 17:19:31,025 - pyskl - INFO - Epoch [117][2300/3746] lr: 1.173e-02, eta: 21:49:34, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4203, top5_acc: 0.6814, loss_cls: 4.8619, loss: 4.8619 +2024-01-02 17:20:30,734 - pyskl - INFO - Epoch [117][2400/3746] lr: 1.172e-02, eta: 21:48:29, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4231, top5_acc: 0.6894, loss_cls: 4.8336, loss: 4.8336 +2024-01-02 17:21:29,986 - pyskl - INFO - Epoch [117][2500/3746] lr: 1.170e-02, eta: 21:47:23, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4220, top5_acc: 0.6887, loss_cls: 4.8222, loss: 4.8222 +2024-01-02 17:22:29,487 - pyskl - INFO - Epoch [117][2600/3746] lr: 1.168e-02, eta: 21:46:18, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4288, top5_acc: 0.6869, loss_cls: 4.8215, loss: 4.8215 +2024-01-02 17:23:28,828 - pyskl - INFO - Epoch [117][2700/3746] lr: 1.166e-02, eta: 21:45:12, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4291, top5_acc: 0.6897, loss_cls: 4.8342, loss: 4.8342 +2024-01-02 17:24:28,139 - pyskl - INFO - Epoch [117][2800/3746] lr: 1.164e-02, eta: 21:44:06, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4211, top5_acc: 0.6887, loss_cls: 4.8302, loss: 4.8302 +2024-01-02 17:25:27,464 - pyskl - INFO - Epoch [117][2900/3746] lr: 1.163e-02, eta: 21:43:00, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4334, top5_acc: 0.6955, loss_cls: 4.7880, loss: 4.7880 +2024-01-02 17:26:27,088 - pyskl - INFO - Epoch [117][3000/3746] lr: 1.161e-02, eta: 21:41:55, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4228, top5_acc: 0.6913, loss_cls: 4.8180, loss: 4.8180 +2024-01-02 17:27:27,108 - pyskl - INFO - Epoch [117][3100/3746] lr: 1.159e-02, eta: 21:40:50, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4356, top5_acc: 0.6922, loss_cls: 4.7950, loss: 4.7950 +2024-01-02 17:28:27,304 - pyskl - INFO - Epoch [117][3200/3746] lr: 1.157e-02, eta: 21:39:45, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4264, top5_acc: 0.6887, loss_cls: 4.8371, loss: 4.8371 +2024-01-02 17:29:27,536 - pyskl - INFO - Epoch [117][3300/3746] lr: 1.155e-02, eta: 21:38:40, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4248, top5_acc: 0.6852, loss_cls: 4.8318, loss: 4.8318 +2024-01-02 17:30:26,884 - pyskl - INFO - Epoch [117][3400/3746] lr: 1.154e-02, eta: 21:37:34, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4384, top5_acc: 0.6905, loss_cls: 4.7952, loss: 4.7952 +2024-01-02 17:31:27,038 - pyskl - INFO - Epoch [117][3500/3746] lr: 1.152e-02, eta: 21:36:29, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4338, top5_acc: 0.6906, loss_cls: 4.8148, loss: 4.8148 +2024-01-02 17:32:26,986 - pyskl - INFO - Epoch [117][3600/3746] lr: 1.150e-02, eta: 21:35:24, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4288, top5_acc: 0.6813, loss_cls: 4.8152, loss: 4.8152 +2024-01-02 17:33:27,124 - pyskl - INFO - Epoch [117][3700/3746] lr: 1.148e-02, eta: 21:34:19, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4261, top5_acc: 0.6906, loss_cls: 4.8254, loss: 4.8254 +2024-01-02 17:33:57,337 - pyskl - INFO - Saving checkpoint at 117 epochs +2024-01-02 17:35:51,449 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 17:35:52,534 - pyskl - INFO - +top1_acc 0.3618 +top5_acc 0.6210 +2024-01-02 17:35:52,534 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 17:35:52,580 - pyskl - INFO - +mean_acc 0.3615 +2024-01-02 17:35:52,586 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_116.pth was removed +2024-01-02 17:35:52,888 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. +2024-01-02 17:35:52,888 - pyskl - INFO - Best top1_acc is 0.3618 at 117 epoch. +2024-01-02 17:35:52,897 - pyskl - INFO - Epoch(val) [117][309] top1_acc: 0.3618, top5_acc: 0.6210, mean_class_accuracy: 0.3615 +2024-01-02 17:39:10,494 - pyskl - INFO - Epoch [118][100/3746] lr: 1.146e-02, eta: 21:34:15, time: 1.976, data_time: 1.377, memory: 16180, top1_acc: 0.4422, top5_acc: 0.7131, loss_cls: 4.7250, loss: 4.7250 +2024-01-02 17:40:10,148 - pyskl - INFO - Epoch [118][200/3746] lr: 1.144e-02, eta: 21:33:09, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4359, top5_acc: 0.7003, loss_cls: 4.7690, loss: 4.7690 +2024-01-02 17:41:09,515 - pyskl - INFO - Epoch [118][300/3746] lr: 1.142e-02, eta: 21:32:03, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4498, top5_acc: 0.7156, loss_cls: 4.6780, loss: 4.6780 +2024-01-02 17:42:08,871 - pyskl - INFO - Epoch [118][400/3746] lr: 1.140e-02, eta: 21:30:58, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4406, top5_acc: 0.7125, loss_cls: 4.7420, loss: 4.7420 +2024-01-02 17:43:08,971 - pyskl - INFO - Epoch [118][500/3746] lr: 1.139e-02, eta: 21:29:52, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4439, top5_acc: 0.7030, loss_cls: 4.7553, loss: 4.7553 +2024-01-02 17:44:09,196 - pyskl - INFO - Epoch [118][600/3746] lr: 1.137e-02, eta: 21:28:47, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4370, top5_acc: 0.6975, loss_cls: 4.7575, loss: 4.7575 +2024-01-02 17:45:08,515 - pyskl - INFO - Epoch [118][700/3746] lr: 1.135e-02, eta: 21:27:42, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4327, top5_acc: 0.6991, loss_cls: 4.7529, loss: 4.7529 +2024-01-02 17:46:08,003 - pyskl - INFO - Epoch [118][800/3746] lr: 1.133e-02, eta: 21:26:36, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4373, top5_acc: 0.7072, loss_cls: 4.7675, loss: 4.7675 +2024-01-02 17:47:07,847 - pyskl - INFO - Epoch [118][900/3746] lr: 1.131e-02, eta: 21:25:31, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4319, top5_acc: 0.6950, loss_cls: 4.7940, loss: 4.7940 +2024-01-02 17:48:07,706 - pyskl - INFO - Epoch [118][1000/3746] lr: 1.130e-02, eta: 21:24:25, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4500, top5_acc: 0.7045, loss_cls: 4.7493, loss: 4.7493 +2024-01-02 17:49:07,884 - pyskl - INFO - Epoch [118][1100/3746] lr: 1.128e-02, eta: 21:23:20, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4291, top5_acc: 0.6906, loss_cls: 4.7823, loss: 4.7823 +2024-01-02 17:50:07,925 - pyskl - INFO - Epoch [118][1200/3746] lr: 1.126e-02, eta: 21:22:15, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4361, top5_acc: 0.6881, loss_cls: 4.8177, loss: 4.8177 +2024-01-02 17:51:07,431 - pyskl - INFO - Epoch [118][1300/3746] lr: 1.124e-02, eta: 21:21:10, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4330, top5_acc: 0.7002, loss_cls: 4.7723, loss: 4.7723 +2024-01-02 17:52:06,654 - pyskl - INFO - Epoch [118][1400/3746] lr: 1.123e-02, eta: 21:20:04, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4416, top5_acc: 0.6997, loss_cls: 4.7531, loss: 4.7531 +2024-01-02 17:53:05,996 - pyskl - INFO - Epoch [118][1500/3746] lr: 1.121e-02, eta: 21:18:58, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4255, top5_acc: 0.6972, loss_cls: 4.7902, loss: 4.7902 +2024-01-02 17:54:06,118 - pyskl - INFO - Epoch [118][1600/3746] lr: 1.119e-02, eta: 21:17:53, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4330, top5_acc: 0.6991, loss_cls: 4.7903, loss: 4.7903 +2024-01-02 17:55:06,466 - pyskl - INFO - Epoch [118][1700/3746] lr: 1.117e-02, eta: 21:16:48, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4297, top5_acc: 0.6906, loss_cls: 4.8045, loss: 4.8045 +2024-01-02 17:56:06,276 - pyskl - INFO - Epoch [118][1800/3746] lr: 1.116e-02, eta: 21:15:43, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4375, top5_acc: 0.7003, loss_cls: 4.7493, loss: 4.7493 +2024-01-02 17:57:06,010 - pyskl - INFO - Epoch [118][1900/3746] lr: 1.114e-02, eta: 21:14:38, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4286, top5_acc: 0.6927, loss_cls: 4.8309, loss: 4.8309 +2024-01-02 17:58:05,861 - pyskl - INFO - Epoch [118][2000/3746] lr: 1.112e-02, eta: 21:13:33, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4370, top5_acc: 0.7005, loss_cls: 4.7552, loss: 4.7552 +2024-01-02 17:59:05,291 - pyskl - INFO - Epoch [118][2100/3746] lr: 1.110e-02, eta: 21:12:27, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4363, top5_acc: 0.6925, loss_cls: 4.7827, loss: 4.7827 +2024-01-02 18:00:04,702 - pyskl - INFO - Epoch [118][2200/3746] lr: 1.109e-02, eta: 21:11:21, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4516, top5_acc: 0.7100, loss_cls: 4.7113, loss: 4.7113 +2024-01-02 18:01:04,254 - pyskl - INFO - Epoch [118][2300/3746] lr: 1.107e-02, eta: 21:10:16, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4284, top5_acc: 0.6992, loss_cls: 4.7731, loss: 4.7731 +2024-01-02 18:02:03,682 - pyskl - INFO - Epoch [118][2400/3746] lr: 1.105e-02, eta: 21:09:11, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4247, top5_acc: 0.6848, loss_cls: 4.8582, loss: 4.8582 +2024-01-02 18:03:03,390 - pyskl - INFO - Epoch [118][2500/3746] lr: 1.103e-02, eta: 21:08:05, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4259, top5_acc: 0.6934, loss_cls: 4.8109, loss: 4.8109 +2024-01-02 18:04:03,407 - pyskl - INFO - Epoch [118][2600/3746] lr: 1.102e-02, eta: 21:07:00, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4250, top5_acc: 0.6928, loss_cls: 4.7922, loss: 4.7922 +2024-01-02 18:05:03,617 - pyskl - INFO - Epoch [118][2700/3746] lr: 1.100e-02, eta: 21:05:55, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4297, top5_acc: 0.6922, loss_cls: 4.7937, loss: 4.7937 +2024-01-02 18:06:03,240 - pyskl - INFO - Epoch [118][2800/3746] lr: 1.098e-02, eta: 21:04:50, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4300, top5_acc: 0.6855, loss_cls: 4.8375, loss: 4.8375 +2024-01-02 18:07:03,204 - pyskl - INFO - Epoch [118][2900/3746] lr: 1.096e-02, eta: 21:03:45, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4363, top5_acc: 0.6897, loss_cls: 4.7993, loss: 4.7993 +2024-01-02 18:08:02,965 - pyskl - INFO - Epoch [118][3000/3746] lr: 1.095e-02, eta: 21:02:40, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4358, top5_acc: 0.7044, loss_cls: 4.7411, loss: 4.7411 +2024-01-02 18:09:03,031 - pyskl - INFO - Epoch [118][3100/3746] lr: 1.093e-02, eta: 21:01:35, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4358, top5_acc: 0.6953, loss_cls: 4.7952, loss: 4.7952 +2024-01-02 18:10:03,282 - pyskl - INFO - Epoch [118][3200/3746] lr: 1.091e-02, eta: 21:00:30, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4327, top5_acc: 0.6892, loss_cls: 4.8000, loss: 4.8000 +2024-01-02 18:11:03,338 - pyskl - INFO - Epoch [118][3300/3746] lr: 1.089e-02, eta: 20:59:25, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4330, top5_acc: 0.6884, loss_cls: 4.7963, loss: 4.7963 +2024-01-02 18:12:02,783 - pyskl - INFO - Epoch [118][3400/3746] lr: 1.088e-02, eta: 20:58:19, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4227, top5_acc: 0.6947, loss_cls: 4.8238, loss: 4.8238 +2024-01-02 18:13:02,320 - pyskl - INFO - Epoch [118][3500/3746] lr: 1.086e-02, eta: 20:57:14, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4258, top5_acc: 0.6853, loss_cls: 4.8133, loss: 4.8133 +2024-01-02 18:14:01,761 - pyskl - INFO - Epoch [118][3600/3746] lr: 1.084e-02, eta: 20:56:09, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4313, top5_acc: 0.6920, loss_cls: 4.8270, loss: 4.8270 +2024-01-02 18:15:01,877 - pyskl - INFO - Epoch [118][3700/3746] lr: 1.082e-02, eta: 20:55:04, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4292, top5_acc: 0.6875, loss_cls: 4.8265, loss: 4.8265 +2024-01-02 18:15:31,861 - pyskl - INFO - Saving checkpoint at 118 epochs +2024-01-02 18:17:28,247 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 18:17:29,335 - pyskl - INFO - +top1_acc 0.3637 +top5_acc 0.6227 +2024-01-02 18:17:29,335 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 18:17:29,372 - pyskl - INFO - +mean_acc 0.3635 +2024-01-02 18:17:29,379 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_117.pth was removed +2024-01-02 18:17:29,677 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. +2024-01-02 18:17:29,677 - pyskl - INFO - Best top1_acc is 0.3637 at 118 epoch. +2024-01-02 18:17:29,685 - pyskl - INFO - Epoch(val) [118][309] top1_acc: 0.3637, top5_acc: 0.6227, mean_class_accuracy: 0.3635 +2024-01-02 18:20:44,119 - pyskl - INFO - Epoch [119][100/3746] lr: 1.080e-02, eta: 20:54:52, time: 1.944, data_time: 1.350, memory: 16180, top1_acc: 0.4491, top5_acc: 0.7075, loss_cls: 4.7122, loss: 4.7122 +2024-01-02 18:21:43,995 - pyskl - INFO - Epoch [119][200/3746] lr: 1.078e-02, eta: 20:53:47, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4567, top5_acc: 0.7117, loss_cls: 4.7088, loss: 4.7088 +2024-01-02 18:22:43,184 - pyskl - INFO - Epoch [119][300/3746] lr: 1.076e-02, eta: 20:52:41, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4578, top5_acc: 0.7128, loss_cls: 4.6891, loss: 4.6891 +2024-01-02 18:23:42,564 - pyskl - INFO - Epoch [119][400/3746] lr: 1.075e-02, eta: 20:51:36, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4333, top5_acc: 0.7027, loss_cls: 4.7624, loss: 4.7624 +2024-01-02 18:24:42,323 - pyskl - INFO - Epoch [119][500/3746] lr: 1.073e-02, eta: 20:50:30, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4423, top5_acc: 0.7102, loss_cls: 4.7336, loss: 4.7336 +2024-01-02 18:25:42,080 - pyskl - INFO - Epoch [119][600/3746] lr: 1.071e-02, eta: 20:49:25, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4378, top5_acc: 0.7117, loss_cls: 4.7398, loss: 4.7398 +2024-01-02 18:26:41,736 - pyskl - INFO - Epoch [119][700/3746] lr: 1.069e-02, eta: 20:48:20, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4484, top5_acc: 0.7105, loss_cls: 4.7012, loss: 4.7012 +2024-01-02 18:27:41,762 - pyskl - INFO - Epoch [119][800/3746] lr: 1.068e-02, eta: 20:47:15, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4394, top5_acc: 0.7119, loss_cls: 4.7477, loss: 4.7477 +2024-01-02 18:28:41,251 - pyskl - INFO - Epoch [119][900/3746] lr: 1.066e-02, eta: 20:46:09, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4427, top5_acc: 0.7048, loss_cls: 4.7445, loss: 4.7445 +2024-01-02 18:29:40,880 - pyskl - INFO - Epoch [119][1000/3746] lr: 1.064e-02, eta: 20:45:04, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4533, top5_acc: 0.7061, loss_cls: 4.7219, loss: 4.7219 +2024-01-02 18:30:40,570 - pyskl - INFO - Epoch [119][1100/3746] lr: 1.063e-02, eta: 20:43:59, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4394, top5_acc: 0.6978, loss_cls: 4.7598, loss: 4.7598 +2024-01-02 18:31:40,907 - pyskl - INFO - Epoch [119][1200/3746] lr: 1.061e-02, eta: 20:42:54, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4458, top5_acc: 0.7041, loss_cls: 4.7223, loss: 4.7223 +2024-01-02 18:32:41,012 - pyskl - INFO - Epoch [119][1300/3746] lr: 1.059e-02, eta: 20:41:49, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4400, top5_acc: 0.7036, loss_cls: 4.7401, loss: 4.7401 +2024-01-02 18:33:40,977 - pyskl - INFO - Epoch [119][1400/3746] lr: 1.057e-02, eta: 20:40:44, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4353, top5_acc: 0.6977, loss_cls: 4.7751, loss: 4.7751 +2024-01-02 18:34:40,529 - pyskl - INFO - Epoch [119][1500/3746] lr: 1.056e-02, eta: 20:39:39, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4367, top5_acc: 0.6914, loss_cls: 4.7778, loss: 4.7778 +2024-01-02 18:35:40,202 - pyskl - INFO - Epoch [119][1600/3746] lr: 1.054e-02, eta: 20:38:33, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4261, top5_acc: 0.6959, loss_cls: 4.7760, loss: 4.7760 +2024-01-02 18:36:41,012 - pyskl - INFO - Epoch [119][1700/3746] lr: 1.052e-02, eta: 20:37:29, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.4288, top5_acc: 0.6992, loss_cls: 4.7837, loss: 4.7837 +2024-01-02 18:37:41,698 - pyskl - INFO - Epoch [119][1800/3746] lr: 1.050e-02, eta: 20:36:25, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.4434, top5_acc: 0.6975, loss_cls: 4.7414, loss: 4.7414 +2024-01-02 18:38:41,251 - pyskl - INFO - Epoch [119][1900/3746] lr: 1.049e-02, eta: 20:35:19, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4358, top5_acc: 0.6941, loss_cls: 4.7833, loss: 4.7833 +2024-01-02 18:39:41,451 - pyskl - INFO - Epoch [119][2000/3746] lr: 1.047e-02, eta: 20:34:14, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4348, top5_acc: 0.6956, loss_cls: 4.7824, loss: 4.7824 +2024-01-02 18:40:40,918 - pyskl - INFO - Epoch [119][2100/3746] lr: 1.045e-02, eta: 20:33:09, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4352, top5_acc: 0.7011, loss_cls: 4.7648, loss: 4.7648 +2024-01-02 18:41:40,712 - pyskl - INFO - Epoch [119][2200/3746] lr: 1.044e-02, eta: 20:32:04, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4309, top5_acc: 0.6977, loss_cls: 4.7885, loss: 4.7885 +2024-01-02 18:42:39,949 - pyskl - INFO - Epoch [119][2300/3746] lr: 1.042e-02, eta: 20:30:58, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4386, top5_acc: 0.7019, loss_cls: 4.7565, loss: 4.7565 +2024-01-02 18:43:39,270 - pyskl - INFO - Epoch [119][2400/3746] lr: 1.040e-02, eta: 20:29:53, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4320, top5_acc: 0.6961, loss_cls: 4.7895, loss: 4.7895 +2024-01-02 18:44:38,761 - pyskl - INFO - Epoch [119][2500/3746] lr: 1.039e-02, eta: 20:28:48, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4484, top5_acc: 0.7000, loss_cls: 4.7314, loss: 4.7314 +2024-01-02 18:45:38,243 - pyskl - INFO - Epoch [119][2600/3746] lr: 1.037e-02, eta: 20:27:42, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4387, top5_acc: 0.6992, loss_cls: 4.7785, loss: 4.7785 +2024-01-02 18:46:37,881 - pyskl - INFO - Epoch [119][2700/3746] lr: 1.035e-02, eta: 20:26:37, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4405, top5_acc: 0.7017, loss_cls: 4.7529, loss: 4.7529 +2024-01-02 18:47:37,330 - pyskl - INFO - Epoch [119][2800/3746] lr: 1.033e-02, eta: 20:25:32, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4348, top5_acc: 0.6983, loss_cls: 4.7559, loss: 4.7559 +2024-01-02 18:48:37,638 - pyskl - INFO - Epoch [119][2900/3746] lr: 1.032e-02, eta: 20:24:27, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4289, top5_acc: 0.6955, loss_cls: 4.7840, loss: 4.7840 +2024-01-02 18:49:37,579 - pyskl - INFO - Epoch [119][3000/3746] lr: 1.030e-02, eta: 20:23:22, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4409, top5_acc: 0.7030, loss_cls: 4.7682, loss: 4.7682 +2024-01-02 18:50:37,614 - pyskl - INFO - Epoch [119][3100/3746] lr: 1.028e-02, eta: 20:22:17, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4303, top5_acc: 0.6923, loss_cls: 4.8007, loss: 4.8007 +2024-01-02 18:51:38,300 - pyskl - INFO - Epoch [119][3200/3746] lr: 1.027e-02, eta: 20:21:13, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.4403, top5_acc: 0.7006, loss_cls: 4.7749, loss: 4.7749 +2024-01-02 18:52:38,525 - pyskl - INFO - Epoch [119][3300/3746] lr: 1.025e-02, eta: 20:20:08, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4469, top5_acc: 0.7020, loss_cls: 4.7489, loss: 4.7489 +2024-01-02 18:53:38,177 - pyskl - INFO - Epoch [119][3400/3746] lr: 1.023e-02, eta: 20:19:03, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4298, top5_acc: 0.7006, loss_cls: 4.7944, loss: 4.7944 +2024-01-02 18:54:38,016 - pyskl - INFO - Epoch [119][3500/3746] lr: 1.022e-02, eta: 20:17:58, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4275, top5_acc: 0.6877, loss_cls: 4.8230, loss: 4.8230 +2024-01-02 18:55:37,759 - pyskl - INFO - Epoch [119][3600/3746] lr: 1.020e-02, eta: 20:16:53, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4341, top5_acc: 0.7000, loss_cls: 4.7657, loss: 4.7657 +2024-01-02 18:56:37,779 - pyskl - INFO - Epoch [119][3700/3746] lr: 1.018e-02, eta: 20:15:48, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4313, top5_acc: 0.6931, loss_cls: 4.8009, loss: 4.8009 +2024-01-02 18:57:07,470 - pyskl - INFO - Saving checkpoint at 119 epochs +2024-01-02 18:59:03,593 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 18:59:04,663 - pyskl - INFO - +top1_acc 0.3754 +top5_acc 0.6351 +2024-01-02 18:59:04,664 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 18:59:04,702 - pyskl - INFO - +mean_acc 0.3753 +2024-01-02 18:59:04,712 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_118.pth was removed +2024-01-02 18:59:05,086 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2024-01-02 18:59:05,087 - pyskl - INFO - Best top1_acc is 0.3754 at 119 epoch. +2024-01-02 18:59:05,095 - pyskl - INFO - Epoch(val) [119][309] top1_acc: 0.3754, top5_acc: 0.6351, mean_class_accuracy: 0.3753 +2024-01-02 19:02:29,055 - pyskl - INFO - Epoch [120][100/3746] lr: 1.016e-02, eta: 20:15:39, time: 2.039, data_time: 1.443, memory: 16180, top1_acc: 0.4459, top5_acc: 0.7178, loss_cls: 4.6995, loss: 4.6995 +2024-01-02 19:03:28,798 - pyskl - INFO - Epoch [120][200/3746] lr: 1.014e-02, eta: 20:14:34, time: 0.597, data_time: 0.001, memory: 16180, top1_acc: 0.4550, top5_acc: 0.7127, loss_cls: 4.6943, loss: 4.6943 +2024-01-02 19:04:28,921 - pyskl - INFO - Epoch [120][300/3746] lr: 1.012e-02, eta: 20:13:29, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4561, top5_acc: 0.7133, loss_cls: 4.6892, loss: 4.6892 +2024-01-02 19:05:28,792 - pyskl - INFO - Epoch [120][400/3746] lr: 1.011e-02, eta: 20:12:24, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4478, top5_acc: 0.7170, loss_cls: 4.6756, loss: 4.6756 +2024-01-02 19:06:28,860 - pyskl - INFO - Epoch [120][500/3746] lr: 1.009e-02, eta: 20:11:19, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4505, top5_acc: 0.7184, loss_cls: 4.6903, loss: 4.6903 +2024-01-02 19:07:28,645 - pyskl - INFO - Epoch [120][600/3746] lr: 1.007e-02, eta: 20:10:14, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4437, top5_acc: 0.7191, loss_cls: 4.6951, loss: 4.6951 +2024-01-02 19:08:28,252 - pyskl - INFO - Epoch [120][700/3746] lr: 1.006e-02, eta: 20:09:09, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4561, top5_acc: 0.7147, loss_cls: 4.7059, loss: 4.7059 +2024-01-02 19:09:27,695 - pyskl - INFO - Epoch [120][800/3746] lr: 1.004e-02, eta: 20:08:04, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4494, top5_acc: 0.7125, loss_cls: 4.7285, loss: 4.7285 +2024-01-02 19:10:27,345 - pyskl - INFO - Epoch [120][900/3746] lr: 1.002e-02, eta: 20:06:58, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4455, top5_acc: 0.7061, loss_cls: 4.7103, loss: 4.7103 +2024-01-02 19:11:27,065 - pyskl - INFO - Epoch [120][1000/3746] lr: 1.001e-02, eta: 20:05:53, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4406, top5_acc: 0.7027, loss_cls: 4.7343, loss: 4.7343 +2024-01-02 19:12:26,563 - pyskl - INFO - Epoch [120][1100/3746] lr: 9.989e-03, eta: 20:04:48, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4459, top5_acc: 0.7009, loss_cls: 4.7543, loss: 4.7543 +2024-01-02 19:13:26,294 - pyskl - INFO - Epoch [120][1200/3746] lr: 9.972e-03, eta: 20:03:43, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4487, top5_acc: 0.7072, loss_cls: 4.7126, loss: 4.7126 +2024-01-02 19:14:26,068 - pyskl - INFO - Epoch [120][1300/3746] lr: 9.955e-03, eta: 20:02:38, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4383, top5_acc: 0.7006, loss_cls: 4.7468, loss: 4.7468 +2024-01-02 19:15:25,479 - pyskl - INFO - Epoch [120][1400/3746] lr: 9.938e-03, eta: 20:01:33, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4502, top5_acc: 0.7039, loss_cls: 4.7238, loss: 4.7238 +2024-01-02 19:16:25,001 - pyskl - INFO - Epoch [120][1500/3746] lr: 9.922e-03, eta: 20:00:27, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4395, top5_acc: 0.7073, loss_cls: 4.7527, loss: 4.7527 +2024-01-02 19:17:24,475 - pyskl - INFO - Epoch [120][1600/3746] lr: 9.905e-03, eta: 19:59:22, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4331, top5_acc: 0.6955, loss_cls: 4.7986, loss: 4.7986 +2024-01-02 19:18:24,321 - pyskl - INFO - Epoch [120][1700/3746] lr: 9.888e-03, eta: 19:58:17, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4445, top5_acc: 0.7080, loss_cls: 4.7498, loss: 4.7498 +2024-01-02 19:19:24,632 - pyskl - INFO - Epoch [120][1800/3746] lr: 9.871e-03, eta: 19:57:12, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4347, top5_acc: 0.6966, loss_cls: 4.7778, loss: 4.7778 +2024-01-02 19:20:24,231 - pyskl - INFO - Epoch [120][1900/3746] lr: 9.855e-03, eta: 19:56:07, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4569, top5_acc: 0.7086, loss_cls: 4.7106, loss: 4.7106 +2024-01-02 19:21:23,760 - pyskl - INFO - Epoch [120][2000/3746] lr: 9.838e-03, eta: 19:55:02, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4464, top5_acc: 0.7031, loss_cls: 4.7320, loss: 4.7320 +2024-01-02 19:22:23,390 - pyskl - INFO - Epoch [120][2100/3746] lr: 9.821e-03, eta: 19:53:57, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4408, top5_acc: 0.7105, loss_cls: 4.7389, loss: 4.7389 +2024-01-02 19:23:22,917 - pyskl - INFO - Epoch [120][2200/3746] lr: 9.805e-03, eta: 19:52:52, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4381, top5_acc: 0.7044, loss_cls: 4.7519, loss: 4.7519 +2024-01-02 19:24:23,030 - pyskl - INFO - Epoch [120][2300/3746] lr: 9.788e-03, eta: 19:51:47, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4383, top5_acc: 0.7102, loss_cls: 4.7568, loss: 4.7568 +2024-01-02 19:25:22,665 - pyskl - INFO - Epoch [120][2400/3746] lr: 9.772e-03, eta: 19:50:42, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4420, top5_acc: 0.7073, loss_cls: 4.7304, loss: 4.7304 +2024-01-02 19:26:22,473 - pyskl - INFO - Epoch [120][2500/3746] lr: 9.755e-03, eta: 19:49:37, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4462, top5_acc: 0.7159, loss_cls: 4.7235, loss: 4.7235 +2024-01-02 19:27:22,186 - pyskl - INFO - Epoch [120][2600/3746] lr: 9.738e-03, eta: 19:48:32, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4483, top5_acc: 0.7127, loss_cls: 4.7044, loss: 4.7044 +2024-01-02 19:28:21,977 - pyskl - INFO - Epoch [120][2700/3746] lr: 9.722e-03, eta: 19:47:27, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4336, top5_acc: 0.6972, loss_cls: 4.7769, loss: 4.7769 +2024-01-02 19:29:21,832 - pyskl - INFO - Epoch [120][2800/3746] lr: 9.705e-03, eta: 19:46:22, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4462, top5_acc: 0.7119, loss_cls: 4.7288, loss: 4.7288 +2024-01-02 19:30:21,557 - pyskl - INFO - Epoch [120][2900/3746] lr: 9.689e-03, eta: 19:45:17, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4256, top5_acc: 0.6895, loss_cls: 4.8414, loss: 4.8414 +2024-01-02 19:31:20,974 - pyskl - INFO - Epoch [120][3000/3746] lr: 9.672e-03, eta: 19:44:12, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4350, top5_acc: 0.7022, loss_cls: 4.7551, loss: 4.7551 +2024-01-02 19:32:20,500 - pyskl - INFO - Epoch [120][3100/3746] lr: 9.656e-03, eta: 19:43:07, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4445, top5_acc: 0.7002, loss_cls: 4.7605, loss: 4.7605 +2024-01-02 19:33:20,407 - pyskl - INFO - Epoch [120][3200/3746] lr: 9.639e-03, eta: 19:42:02, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4453, top5_acc: 0.7059, loss_cls: 4.7270, loss: 4.7270 +2024-01-02 19:34:20,561 - pyskl - INFO - Epoch [120][3300/3746] lr: 9.623e-03, eta: 19:40:57, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4431, top5_acc: 0.6953, loss_cls: 4.7704, loss: 4.7704 +2024-01-02 19:35:20,135 - pyskl - INFO - Epoch [120][3400/3746] lr: 9.606e-03, eta: 19:39:52, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4403, top5_acc: 0.7059, loss_cls: 4.7368, loss: 4.7368 +2024-01-02 19:36:19,644 - pyskl - INFO - Epoch [120][3500/3746] lr: 9.590e-03, eta: 19:38:47, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4514, top5_acc: 0.7114, loss_cls: 4.7022, loss: 4.7022 +2024-01-02 19:37:19,608 - pyskl - INFO - Epoch [120][3600/3746] lr: 9.573e-03, eta: 19:37:42, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4450, top5_acc: 0.7109, loss_cls: 4.7358, loss: 4.7358 +2024-01-02 19:38:19,289 - pyskl - INFO - Epoch [120][3700/3746] lr: 9.557e-03, eta: 19:36:37, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4400, top5_acc: 0.7025, loss_cls: 4.7389, loss: 4.7389 +2024-01-02 19:38:49,386 - pyskl - INFO - Saving checkpoint at 120 epochs +2024-01-02 19:40:46,346 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 19:40:47,426 - pyskl - INFO - +top1_acc 0.3624 +top5_acc 0.6231 +2024-01-02 19:40:47,426 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 19:40:47,469 - pyskl - INFO - +mean_acc 0.3622 +2024-01-02 19:40:47,478 - pyskl - INFO - Epoch(val) [120][309] top1_acc: 0.3624, top5_acc: 0.6231, mean_class_accuracy: 0.3622 +2024-01-02 19:44:06,741 - pyskl - INFO - Epoch [121][100/3746] lr: 9.533e-03, eta: 19:36:21, time: 1.993, data_time: 1.402, memory: 16180, top1_acc: 0.4639, top5_acc: 0.7352, loss_cls: 4.6123, loss: 4.6123 +2024-01-02 19:45:05,854 - pyskl - INFO - Epoch [121][200/3746] lr: 9.516e-03, eta: 19:35:15, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4547, top5_acc: 0.7169, loss_cls: 4.6717, loss: 4.6717 +2024-01-02 19:46:05,156 - pyskl - INFO - Epoch [121][300/3746] lr: 9.500e-03, eta: 19:34:10, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4487, top5_acc: 0.7144, loss_cls: 4.6983, loss: 4.6983 +2024-01-02 19:47:04,443 - pyskl - INFO - Epoch [121][400/3746] lr: 9.484e-03, eta: 19:33:04, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4667, top5_acc: 0.7294, loss_cls: 4.6399, loss: 4.6399 +2024-01-02 19:48:03,802 - pyskl - INFO - Epoch [121][500/3746] lr: 9.467e-03, eta: 19:31:59, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4556, top5_acc: 0.7145, loss_cls: 4.6746, loss: 4.6746 +2024-01-02 19:49:03,153 - pyskl - INFO - Epoch [121][600/3746] lr: 9.451e-03, eta: 19:30:54, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4487, top5_acc: 0.7098, loss_cls: 4.6997, loss: 4.6997 +2024-01-02 19:50:02,439 - pyskl - INFO - Epoch [121][700/3746] lr: 9.435e-03, eta: 19:29:49, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4473, top5_acc: 0.7081, loss_cls: 4.7192, loss: 4.7192 +2024-01-02 19:51:01,709 - pyskl - INFO - Epoch [121][800/3746] lr: 9.418e-03, eta: 19:28:43, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4652, top5_acc: 0.7102, loss_cls: 4.6729, loss: 4.6729 +2024-01-02 19:52:01,474 - pyskl - INFO - Epoch [121][900/3746] lr: 9.402e-03, eta: 19:27:38, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4466, top5_acc: 0.7078, loss_cls: 4.7061, loss: 4.7061 +2024-01-02 19:53:00,887 - pyskl - INFO - Epoch [121][1000/3746] lr: 9.386e-03, eta: 19:26:33, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4508, top5_acc: 0.7120, loss_cls: 4.6898, loss: 4.6898 +2024-01-02 19:54:00,651 - pyskl - INFO - Epoch [121][1100/3746] lr: 9.369e-03, eta: 19:25:28, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4603, top5_acc: 0.7041, loss_cls: 4.7004, loss: 4.7004 +2024-01-02 19:55:00,147 - pyskl - INFO - Epoch [121][1200/3746] lr: 9.353e-03, eta: 19:24:23, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4580, top5_acc: 0.7177, loss_cls: 4.6932, loss: 4.6932 +2024-01-02 19:55:59,816 - pyskl - INFO - Epoch [121][1300/3746] lr: 9.337e-03, eta: 19:23:18, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4428, top5_acc: 0.7031, loss_cls: 4.7377, loss: 4.7377 +2024-01-02 19:56:59,625 - pyskl - INFO - Epoch [121][1400/3746] lr: 9.321e-03, eta: 19:22:13, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4466, top5_acc: 0.7116, loss_cls: 4.7008, loss: 4.7008 +2024-01-02 19:57:59,320 - pyskl - INFO - Epoch [121][1500/3746] lr: 9.304e-03, eta: 19:21:08, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4539, top5_acc: 0.7180, loss_cls: 4.6915, loss: 4.6915 +2024-01-02 19:58:58,691 - pyskl - INFO - Epoch [121][1600/3746] lr: 9.288e-03, eta: 19:20:03, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4380, top5_acc: 0.6977, loss_cls: 4.7504, loss: 4.7504 +2024-01-02 19:59:58,299 - pyskl - INFO - Epoch [121][1700/3746] lr: 9.272e-03, eta: 19:18:58, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4611, top5_acc: 0.7084, loss_cls: 4.6942, loss: 4.6942 +2024-01-02 20:00:58,490 - pyskl - INFO - Epoch [121][1800/3746] lr: 9.256e-03, eta: 19:17:53, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4537, top5_acc: 0.7108, loss_cls: 4.7114, loss: 4.7114 +2024-01-02 20:01:58,445 - pyskl - INFO - Epoch [121][1900/3746] lr: 9.239e-03, eta: 19:16:48, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4477, top5_acc: 0.7073, loss_cls: 4.7066, loss: 4.7066 +2024-01-02 20:02:57,935 - pyskl - INFO - Epoch [121][2000/3746] lr: 9.223e-03, eta: 19:15:43, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4419, top5_acc: 0.7077, loss_cls: 4.7504, loss: 4.7504 +2024-01-02 20:03:57,303 - pyskl - INFO - Epoch [121][2100/3746] lr: 9.207e-03, eta: 19:14:38, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4467, top5_acc: 0.7130, loss_cls: 4.7171, loss: 4.7171 +2024-01-02 20:04:56,723 - pyskl - INFO - Epoch [121][2200/3746] lr: 9.191e-03, eta: 19:13:33, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4692, top5_acc: 0.7256, loss_cls: 4.6323, loss: 4.6323 +2024-01-02 20:05:56,100 - pyskl - INFO - Epoch [121][2300/3746] lr: 9.175e-03, eta: 19:12:28, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4519, top5_acc: 0.7084, loss_cls: 4.7337, loss: 4.7337 +2024-01-02 20:06:55,313 - pyskl - INFO - Epoch [121][2400/3746] lr: 9.159e-03, eta: 19:11:23, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4411, top5_acc: 0.7077, loss_cls: 4.7333, loss: 4.7333 +2024-01-02 20:07:54,799 - pyskl - INFO - Epoch [121][2500/3746] lr: 9.142e-03, eta: 19:10:18, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4425, top5_acc: 0.7075, loss_cls: 4.7099, loss: 4.7099 +2024-01-02 20:08:54,578 - pyskl - INFO - Epoch [121][2600/3746] lr: 9.126e-03, eta: 19:09:13, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4419, top5_acc: 0.7033, loss_cls: 4.7323, loss: 4.7323 +2024-01-02 20:09:53,883 - pyskl - INFO - Epoch [121][2700/3746] lr: 9.110e-03, eta: 19:08:08, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4544, top5_acc: 0.7072, loss_cls: 4.6997, loss: 4.6997 +2024-01-02 20:10:53,350 - pyskl - INFO - Epoch [121][2800/3746] lr: 9.094e-03, eta: 19:07:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4364, top5_acc: 0.7105, loss_cls: 4.7428, loss: 4.7428 +2024-01-02 20:11:52,928 - pyskl - INFO - Epoch [121][2900/3746] lr: 9.078e-03, eta: 19:05:58, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4361, top5_acc: 0.7034, loss_cls: 4.7483, loss: 4.7483 +2024-01-02 20:12:52,445 - pyskl - INFO - Epoch [121][3000/3746] lr: 9.062e-03, eta: 19:04:53, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4427, top5_acc: 0.7094, loss_cls: 4.7116, loss: 4.7116 +2024-01-02 20:13:52,158 - pyskl - INFO - Epoch [121][3100/3746] lr: 9.046e-03, eta: 19:03:48, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4350, top5_acc: 0.6958, loss_cls: 4.7824, loss: 4.7824 +2024-01-02 20:14:52,366 - pyskl - INFO - Epoch [121][3200/3746] lr: 9.030e-03, eta: 19:02:43, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4419, top5_acc: 0.7078, loss_cls: 4.7241, loss: 4.7241 +2024-01-02 20:15:52,352 - pyskl - INFO - Epoch [121][3300/3746] lr: 9.014e-03, eta: 19:01:39, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4452, top5_acc: 0.7034, loss_cls: 4.7316, loss: 4.7316 +2024-01-02 20:16:51,801 - pyskl - INFO - Epoch [121][3400/3746] lr: 8.998e-03, eta: 19:00:34, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4486, top5_acc: 0.7045, loss_cls: 4.7402, loss: 4.7402 +2024-01-02 20:17:51,022 - pyskl - INFO - Epoch [121][3500/3746] lr: 8.982e-03, eta: 18:59:28, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4616, top5_acc: 0.7150, loss_cls: 4.6827, loss: 4.6827 +2024-01-02 20:18:50,471 - pyskl - INFO - Epoch [121][3600/3746] lr: 8.966e-03, eta: 18:58:23, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4447, top5_acc: 0.7064, loss_cls: 4.7263, loss: 4.7263 +2024-01-02 20:19:50,792 - pyskl - INFO - Epoch [121][3700/3746] lr: 8.950e-03, eta: 18:57:19, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4422, top5_acc: 0.7039, loss_cls: 4.7543, loss: 4.7543 +2024-01-02 20:20:21,095 - pyskl - INFO - Saving checkpoint at 121 epochs +2024-01-02 20:22:17,150 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 20:22:17,950 - pyskl - INFO - +top1_acc 0.3786 +top5_acc 0.6374 +2024-01-02 20:22:17,950 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 20:22:17,989 - pyskl - INFO - +mean_acc 0.3783 +2024-01-02 20:22:17,995 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_119.pth was removed +2024-01-02 20:22:18,222 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2024-01-02 20:22:18,223 - pyskl - INFO - Best top1_acc is 0.3786 at 121 epoch. +2024-01-02 20:22:18,229 - pyskl - INFO - Epoch(val) [121][309] top1_acc: 0.3786, top5_acc: 0.6374, mean_class_accuracy: 0.3783 +2024-01-02 20:25:40,074 - pyskl - INFO - Epoch [122][100/3746] lr: 8.927e-03, eta: 18:57:00, time: 2.018, data_time: 1.429, memory: 16180, top1_acc: 0.4675, top5_acc: 0.7259, loss_cls: 4.6152, loss: 4.6152 +2024-01-02 20:26:39,822 - pyskl - INFO - Epoch [122][200/3746] lr: 8.911e-03, eta: 18:55:55, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4677, top5_acc: 0.7280, loss_cls: 4.6429, loss: 4.6429 +2024-01-02 20:27:40,178 - pyskl - INFO - Epoch [122][300/3746] lr: 8.895e-03, eta: 18:54:50, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.4730, top5_acc: 0.7223, loss_cls: 4.6271, loss: 4.6271 +2024-01-02 20:28:39,504 - pyskl - INFO - Epoch [122][400/3746] lr: 8.879e-03, eta: 18:53:45, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4536, top5_acc: 0.7255, loss_cls: 4.6593, loss: 4.6593 +2024-01-02 20:29:38,979 - pyskl - INFO - Epoch [122][500/3746] lr: 8.863e-03, eta: 18:52:40, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4616, top5_acc: 0.7242, loss_cls: 4.6457, loss: 4.6457 +2024-01-02 20:30:38,877 - pyskl - INFO - Epoch [122][600/3746] lr: 8.847e-03, eta: 18:51:35, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4777, top5_acc: 0.7294, loss_cls: 4.5816, loss: 4.5816 +2024-01-02 20:31:38,223 - pyskl - INFO - Epoch [122][700/3746] lr: 8.831e-03, eta: 18:50:30, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4603, top5_acc: 0.7311, loss_cls: 4.6263, loss: 4.6263 +2024-01-02 20:32:37,615 - pyskl - INFO - Epoch [122][800/3746] lr: 8.815e-03, eta: 18:49:25, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4537, top5_acc: 0.7144, loss_cls: 4.6646, loss: 4.6646 +2024-01-02 20:33:37,223 - pyskl - INFO - Epoch [122][900/3746] lr: 8.800e-03, eta: 18:48:20, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4664, top5_acc: 0.7281, loss_cls: 4.6198, loss: 4.6198 +2024-01-02 20:34:36,815 - pyskl - INFO - Epoch [122][1000/3746] lr: 8.784e-03, eta: 18:47:15, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4566, top5_acc: 0.7184, loss_cls: 4.6530, loss: 4.6530 +2024-01-02 20:35:36,313 - pyskl - INFO - Epoch [122][1100/3746] lr: 8.768e-03, eta: 18:46:10, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4539, top5_acc: 0.7059, loss_cls: 4.6957, loss: 4.6957 +2024-01-02 20:36:35,756 - pyskl - INFO - Epoch [122][1200/3746] lr: 8.752e-03, eta: 18:45:05, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4459, top5_acc: 0.7087, loss_cls: 4.7226, loss: 4.7226 +2024-01-02 20:37:35,046 - pyskl - INFO - Epoch [122][1300/3746] lr: 8.736e-03, eta: 18:44:00, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4552, top5_acc: 0.7219, loss_cls: 4.6777, loss: 4.6777 +2024-01-02 20:38:34,174 - pyskl - INFO - Epoch [122][1400/3746] lr: 8.721e-03, eta: 18:42:55, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4544, top5_acc: 0.7156, loss_cls: 4.6530, loss: 4.6530 +2024-01-02 20:39:33,574 - pyskl - INFO - Epoch [122][1500/3746] lr: 8.705e-03, eta: 18:41:50, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4642, top5_acc: 0.7209, loss_cls: 4.6666, loss: 4.6666 +2024-01-02 20:40:32,913 - pyskl - INFO - Epoch [122][1600/3746] lr: 8.689e-03, eta: 18:40:45, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4586, top5_acc: 0.7200, loss_cls: 4.6594, loss: 4.6594 +2024-01-02 20:41:32,499 - pyskl - INFO - Epoch [122][1700/3746] lr: 8.673e-03, eta: 18:39:40, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4578, top5_acc: 0.7163, loss_cls: 4.6577, loss: 4.6577 +2024-01-02 20:42:32,430 - pyskl - INFO - Epoch [122][1800/3746] lr: 8.658e-03, eta: 18:38:35, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4487, top5_acc: 0.7050, loss_cls: 4.7139, loss: 4.7139 +2024-01-02 20:43:33,234 - pyskl - INFO - Epoch [122][1900/3746] lr: 8.642e-03, eta: 18:37:31, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.4445, top5_acc: 0.7070, loss_cls: 4.7132, loss: 4.7132 +2024-01-02 20:44:33,127 - pyskl - INFO - Epoch [122][2000/3746] lr: 8.626e-03, eta: 18:36:26, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4384, top5_acc: 0.7027, loss_cls: 4.7705, loss: 4.7705 +2024-01-02 20:45:32,694 - pyskl - INFO - Epoch [122][2100/3746] lr: 8.610e-03, eta: 18:35:22, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4472, top5_acc: 0.7148, loss_cls: 4.6870, loss: 4.6870 +2024-01-02 20:46:32,435 - pyskl - INFO - Epoch [122][2200/3746] lr: 8.595e-03, eta: 18:34:17, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4497, top5_acc: 0.7144, loss_cls: 4.7034, loss: 4.7034 +2024-01-02 20:47:31,909 - pyskl - INFO - Epoch [122][2300/3746] lr: 8.579e-03, eta: 18:33:12, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4478, top5_acc: 0.7158, loss_cls: 4.7010, loss: 4.7010 +2024-01-02 20:48:31,489 - pyskl - INFO - Epoch [122][2400/3746] lr: 8.563e-03, eta: 18:32:07, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4572, top5_acc: 0.7203, loss_cls: 4.6795, loss: 4.6795 +2024-01-02 20:49:30,974 - pyskl - INFO - Epoch [122][2500/3746] lr: 8.548e-03, eta: 18:31:02, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4652, top5_acc: 0.7220, loss_cls: 4.6517, loss: 4.6517 +2024-01-02 20:50:30,408 - pyskl - INFO - Epoch [122][2600/3746] lr: 8.532e-03, eta: 18:29:57, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4433, top5_acc: 0.7053, loss_cls: 4.7183, loss: 4.7183 +2024-01-02 20:51:30,041 - pyskl - INFO - Epoch [122][2700/3746] lr: 8.517e-03, eta: 18:28:52, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4483, top5_acc: 0.7108, loss_cls: 4.7233, loss: 4.7233 +2024-01-02 20:52:29,769 - pyskl - INFO - Epoch [122][2800/3746] lr: 8.501e-03, eta: 18:27:48, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4537, top5_acc: 0.7153, loss_cls: 4.6772, loss: 4.6772 +2024-01-02 20:53:29,205 - pyskl - INFO - Epoch [122][2900/3746] lr: 8.485e-03, eta: 18:26:43, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4441, top5_acc: 0.7095, loss_cls: 4.7136, loss: 4.7136 +2024-01-02 20:54:28,595 - pyskl - INFO - Epoch [122][3000/3746] lr: 8.470e-03, eta: 18:25:38, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4511, top5_acc: 0.7037, loss_cls: 4.7228, loss: 4.7228 +2024-01-02 20:55:28,674 - pyskl - INFO - Epoch [122][3100/3746] lr: 8.454e-03, eta: 18:24:33, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4450, top5_acc: 0.7106, loss_cls: 4.7221, loss: 4.7221 +2024-01-02 20:56:29,033 - pyskl - INFO - Epoch [122][3200/3746] lr: 8.439e-03, eta: 18:23:29, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.4530, top5_acc: 0.7177, loss_cls: 4.7024, loss: 4.7024 +2024-01-02 20:57:28,677 - pyskl - INFO - Epoch [122][3300/3746] lr: 8.423e-03, eta: 18:22:24, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4386, top5_acc: 0.7020, loss_cls: 4.7306, loss: 4.7306 +2024-01-02 20:58:28,145 - pyskl - INFO - Epoch [122][3400/3746] lr: 8.408e-03, eta: 18:21:19, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4487, top5_acc: 0.7028, loss_cls: 4.7009, loss: 4.7009 +2024-01-02 20:59:27,748 - pyskl - INFO - Epoch [122][3500/3746] lr: 8.392e-03, eta: 18:20:14, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4506, top5_acc: 0.7072, loss_cls: 4.6968, loss: 4.6968 +2024-01-02 21:00:27,291 - pyskl - INFO - Epoch [122][3600/3746] lr: 8.377e-03, eta: 18:19:10, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4516, top5_acc: 0.7136, loss_cls: 4.6881, loss: 4.6881 +2024-01-02 21:01:26,970 - pyskl - INFO - Epoch [122][3700/3746] lr: 8.361e-03, eta: 18:18:05, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4559, top5_acc: 0.7127, loss_cls: 4.7220, loss: 4.7220 +2024-01-02 21:01:57,210 - pyskl - INFO - Saving checkpoint at 122 epochs +2024-01-02 21:03:52,149 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 21:03:53,226 - pyskl - INFO - +top1_acc 0.3825 +top5_acc 0.6378 +2024-01-02 21:03:53,227 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 21:03:53,272 - pyskl - INFO - +mean_acc 0.3822 +2024-01-02 21:03:53,279 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_121.pth was removed +2024-01-02 21:03:53,615 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2024-01-02 21:03:53,615 - pyskl - INFO - Best top1_acc is 0.3825 at 122 epoch. +2024-01-02 21:03:53,626 - pyskl - INFO - Epoch(val) [122][309] top1_acc: 0.3825, top5_acc: 0.6378, mean_class_accuracy: 0.3822 +2024-01-02 21:07:12,316 - pyskl - INFO - Epoch [123][100/3746] lr: 8.339e-03, eta: 18:17:40, time: 1.987, data_time: 1.392, memory: 16180, top1_acc: 0.4603, top5_acc: 0.7250, loss_cls: 4.6432, loss: 4.6432 +2024-01-02 21:08:11,794 - pyskl - INFO - Epoch [123][200/3746] lr: 8.323e-03, eta: 18:16:35, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4622, top5_acc: 0.7269, loss_cls: 4.6189, loss: 4.6189 +2024-01-02 21:09:11,648 - pyskl - INFO - Epoch [123][300/3746] lr: 8.308e-03, eta: 18:15:30, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4669, top5_acc: 0.7277, loss_cls: 4.5943, loss: 4.5943 +2024-01-02 21:10:10,982 - pyskl - INFO - Epoch [123][400/3746] lr: 8.292e-03, eta: 18:14:25, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4652, top5_acc: 0.7298, loss_cls: 4.6158, loss: 4.6158 +2024-01-02 21:11:10,459 - pyskl - INFO - Epoch [123][500/3746] lr: 8.277e-03, eta: 18:13:20, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4692, top5_acc: 0.7348, loss_cls: 4.5842, loss: 4.5842 +2024-01-02 21:12:10,222 - pyskl - INFO - Epoch [123][600/3746] lr: 8.262e-03, eta: 18:12:15, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4591, top5_acc: 0.7245, loss_cls: 4.6319, loss: 4.6319 +2024-01-02 21:13:09,742 - pyskl - INFO - Epoch [123][700/3746] lr: 8.246e-03, eta: 18:11:10, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4691, top5_acc: 0.7214, loss_cls: 4.6412, loss: 4.6412 +2024-01-02 21:14:09,404 - pyskl - INFO - Epoch [123][800/3746] lr: 8.231e-03, eta: 18:10:06, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4575, top5_acc: 0.7194, loss_cls: 4.6540, loss: 4.6540 +2024-01-02 21:15:09,111 - pyskl - INFO - Epoch [123][900/3746] lr: 8.215e-03, eta: 18:09:01, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4653, top5_acc: 0.7233, loss_cls: 4.6278, loss: 4.6278 +2024-01-02 21:16:08,818 - pyskl - INFO - Epoch [123][1000/3746] lr: 8.200e-03, eta: 18:07:56, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4541, top5_acc: 0.7116, loss_cls: 4.6942, loss: 4.6942 +2024-01-02 21:17:08,144 - pyskl - INFO - Epoch [123][1100/3746] lr: 8.185e-03, eta: 18:06:51, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4644, top5_acc: 0.7178, loss_cls: 4.6344, loss: 4.6344 +2024-01-02 21:18:07,551 - pyskl - INFO - Epoch [123][1200/3746] lr: 8.169e-03, eta: 18:05:46, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4630, top5_acc: 0.7217, loss_cls: 4.6683, loss: 4.6683 +2024-01-02 21:19:07,219 - pyskl - INFO - Epoch [123][1300/3746] lr: 8.154e-03, eta: 18:04:41, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4558, top5_acc: 0.7188, loss_cls: 4.6643, loss: 4.6643 +2024-01-02 21:20:06,730 - pyskl - INFO - Epoch [123][1400/3746] lr: 8.139e-03, eta: 18:03:37, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4641, top5_acc: 0.7189, loss_cls: 4.6429, loss: 4.6429 +2024-01-02 21:21:06,185 - pyskl - INFO - Epoch [123][1500/3746] lr: 8.124e-03, eta: 18:02:32, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4575, top5_acc: 0.7148, loss_cls: 4.6582, loss: 4.6582 +2024-01-02 21:22:05,690 - pyskl - INFO - Epoch [123][1600/3746] lr: 8.108e-03, eta: 18:01:27, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4645, top5_acc: 0.7233, loss_cls: 4.6392, loss: 4.6392 +2024-01-02 21:23:05,420 - pyskl - INFO - Epoch [123][1700/3746] lr: 8.093e-03, eta: 18:00:22, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4664, top5_acc: 0.7172, loss_cls: 4.6508, loss: 4.6508 +2024-01-02 21:24:05,351 - pyskl - INFO - Epoch [123][1800/3746] lr: 8.078e-03, eta: 17:59:18, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4667, top5_acc: 0.7244, loss_cls: 4.6117, loss: 4.6117 +2024-01-02 21:25:05,413 - pyskl - INFO - Epoch [123][1900/3746] lr: 8.063e-03, eta: 17:58:13, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4411, top5_acc: 0.7072, loss_cls: 4.7186, loss: 4.7186 +2024-01-02 21:26:05,498 - pyskl - INFO - Epoch [123][2000/3746] lr: 8.047e-03, eta: 17:57:09, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4587, top5_acc: 0.7163, loss_cls: 4.6653, loss: 4.6653 +2024-01-02 21:27:05,127 - pyskl - INFO - Epoch [123][2100/3746] lr: 8.032e-03, eta: 17:56:04, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4564, top5_acc: 0.7177, loss_cls: 4.6759, loss: 4.6759 +2024-01-02 21:28:04,755 - pyskl - INFO - Epoch [123][2200/3746] lr: 8.017e-03, eta: 17:54:59, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4520, top5_acc: 0.7092, loss_cls: 4.6865, loss: 4.6865 +2024-01-02 21:29:04,360 - pyskl - INFO - Epoch [123][2300/3746] lr: 8.002e-03, eta: 17:53:54, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4522, top5_acc: 0.7148, loss_cls: 4.7072, loss: 4.7072 +2024-01-02 21:30:03,830 - pyskl - INFO - Epoch [123][2400/3746] lr: 7.987e-03, eta: 17:52:50, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4556, top5_acc: 0.7152, loss_cls: 4.6757, loss: 4.6757 +2024-01-02 21:31:03,898 - pyskl - INFO - Epoch [123][2500/3746] lr: 7.971e-03, eta: 17:51:45, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4594, top5_acc: 0.7141, loss_cls: 4.6982, loss: 4.6982 +2024-01-02 21:32:03,377 - pyskl - INFO - Epoch [123][2600/3746] lr: 7.956e-03, eta: 17:50:40, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4713, top5_acc: 0.7198, loss_cls: 4.6395, loss: 4.6395 +2024-01-02 21:33:02,813 - pyskl - INFO - Epoch [123][2700/3746] lr: 7.941e-03, eta: 17:49:36, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4616, top5_acc: 0.7189, loss_cls: 4.6277, loss: 4.6277 +2024-01-02 21:34:02,041 - pyskl - INFO - Epoch [123][2800/3746] lr: 7.926e-03, eta: 17:48:31, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4609, top5_acc: 0.7181, loss_cls: 4.6463, loss: 4.6463 +2024-01-02 21:35:01,574 - pyskl - INFO - Epoch [123][2900/3746] lr: 7.911e-03, eta: 17:47:26, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4603, top5_acc: 0.7150, loss_cls: 4.6710, loss: 4.6710 +2024-01-02 21:36:01,077 - pyskl - INFO - Epoch [123][3000/3746] lr: 7.896e-03, eta: 17:46:21, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4506, top5_acc: 0.7211, loss_cls: 4.6635, loss: 4.6635 +2024-01-02 21:37:00,578 - pyskl - INFO - Epoch [123][3100/3746] lr: 7.881e-03, eta: 17:45:16, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4677, top5_acc: 0.7283, loss_cls: 4.6224, loss: 4.6224 +2024-01-02 21:38:01,411 - pyskl - INFO - Epoch [123][3200/3746] lr: 7.866e-03, eta: 17:44:12, time: 0.608, data_time: 0.000, memory: 16180, top1_acc: 0.4562, top5_acc: 0.7186, loss_cls: 4.6745, loss: 4.6745 +2024-01-02 21:39:01,148 - pyskl - INFO - Epoch [123][3300/3746] lr: 7.851e-03, eta: 17:43:08, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4495, top5_acc: 0.7130, loss_cls: 4.6865, loss: 4.6865 +2024-01-02 21:40:00,691 - pyskl - INFO - Epoch [123][3400/3746] lr: 7.836e-03, eta: 17:42:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4689, top5_acc: 0.7245, loss_cls: 4.6301, loss: 4.6301 +2024-01-02 21:41:00,506 - pyskl - INFO - Epoch [123][3500/3746] lr: 7.821e-03, eta: 17:40:59, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4561, top5_acc: 0.7089, loss_cls: 4.6997, loss: 4.6997 +2024-01-02 21:41:59,337 - pyskl - INFO - Epoch [123][3600/3746] lr: 7.806e-03, eta: 17:39:54, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.4494, top5_acc: 0.7084, loss_cls: 4.7113, loss: 4.7113 +2024-01-02 21:42:59,254 - pyskl - INFO - Epoch [123][3700/3746] lr: 7.791e-03, eta: 17:38:49, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4553, top5_acc: 0.7147, loss_cls: 4.6905, loss: 4.6905 +2024-01-02 21:43:28,992 - pyskl - INFO - Saving checkpoint at 123 epochs +2024-01-02 21:45:21,019 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 21:45:23,514 - pyskl - INFO - +top1_acc 0.3894 +top5_acc 0.6471 +2024-01-02 21:45:23,514 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 21:45:23,554 - pyskl - INFO - +mean_acc 0.3892 +2024-01-02 21:45:23,560 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_122.pth was removed +2024-01-02 21:45:23,868 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. +2024-01-02 21:45:23,869 - pyskl - INFO - Best top1_acc is 0.3894 at 123 epoch. +2024-01-02 21:45:23,878 - pyskl - INFO - Epoch(val) [123][309] top1_acc: 0.3894, top5_acc: 0.6471, mean_class_accuracy: 0.3892 +2024-01-02 21:48:45,141 - pyskl - INFO - Epoch [124][100/3746] lr: 7.769e-03, eta: 17:38:22, time: 2.013, data_time: 1.420, memory: 16180, top1_acc: 0.4661, top5_acc: 0.7369, loss_cls: 4.5871, loss: 4.5871 +2024-01-02 21:49:44,552 - pyskl - INFO - Epoch [124][200/3746] lr: 7.754e-03, eta: 17:37:17, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4714, top5_acc: 0.7336, loss_cls: 4.5817, loss: 4.5817 +2024-01-02 21:50:43,983 - pyskl - INFO - Epoch [124][300/3746] lr: 7.739e-03, eta: 17:36:12, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4703, top5_acc: 0.7345, loss_cls: 4.5908, loss: 4.5908 +2024-01-02 21:51:43,106 - pyskl - INFO - Epoch [124][400/3746] lr: 7.724e-03, eta: 17:35:07, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4706, top5_acc: 0.7244, loss_cls: 4.5966, loss: 4.5966 +2024-01-02 21:52:42,227 - pyskl - INFO - Epoch [124][500/3746] lr: 7.709e-03, eta: 17:34:02, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4745, top5_acc: 0.7336, loss_cls: 4.5721, loss: 4.5721 +2024-01-02 21:53:41,409 - pyskl - INFO - Epoch [124][600/3746] lr: 7.694e-03, eta: 17:32:57, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4723, top5_acc: 0.7269, loss_cls: 4.6038, loss: 4.6038 +2024-01-02 21:54:40,648 - pyskl - INFO - Epoch [124][700/3746] lr: 7.679e-03, eta: 17:31:52, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4695, top5_acc: 0.7236, loss_cls: 4.6072, loss: 4.6072 +2024-01-02 21:55:39,617 - pyskl - INFO - Epoch [124][800/3746] lr: 7.664e-03, eta: 17:30:47, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4752, top5_acc: 0.7305, loss_cls: 4.5803, loss: 4.5803 +2024-01-02 21:56:38,697 - pyskl - INFO - Epoch [124][900/3746] lr: 7.649e-03, eta: 17:29:42, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4634, top5_acc: 0.7262, loss_cls: 4.6230, loss: 4.6230 +2024-01-02 21:57:37,556 - pyskl - INFO - Epoch [124][1000/3746] lr: 7.635e-03, eta: 17:28:37, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.4689, top5_acc: 0.7378, loss_cls: 4.5772, loss: 4.5772 +2024-01-02 21:58:36,887 - pyskl - INFO - Epoch [124][1100/3746] lr: 7.620e-03, eta: 17:27:32, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4595, top5_acc: 0.7244, loss_cls: 4.6305, loss: 4.6305 +2024-01-02 21:59:36,144 - pyskl - INFO - Epoch [124][1200/3746] lr: 7.605e-03, eta: 17:26:27, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4788, top5_acc: 0.7395, loss_cls: 4.5731, loss: 4.5731 +2024-01-02 22:00:35,520 - pyskl - INFO - Epoch [124][1300/3746] lr: 7.590e-03, eta: 17:25:22, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4716, top5_acc: 0.7256, loss_cls: 4.6229, loss: 4.6229 +2024-01-02 22:01:34,763 - pyskl - INFO - Epoch [124][1400/3746] lr: 7.575e-03, eta: 17:24:17, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4713, top5_acc: 0.7244, loss_cls: 4.6102, loss: 4.6102 +2024-01-02 22:02:34,038 - pyskl - INFO - Epoch [124][1500/3746] lr: 7.561e-03, eta: 17:23:13, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4667, top5_acc: 0.7295, loss_cls: 4.6077, loss: 4.6077 +2024-01-02 22:03:33,249 - pyskl - INFO - Epoch [124][1600/3746] lr: 7.546e-03, eta: 17:22:08, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4491, top5_acc: 0.7184, loss_cls: 4.6901, loss: 4.6901 +2024-01-02 22:04:32,383 - pyskl - INFO - Epoch [124][1700/3746] lr: 7.531e-03, eta: 17:21:03, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4645, top5_acc: 0.7280, loss_cls: 4.6165, loss: 4.6165 +2024-01-02 22:05:31,667 - pyskl - INFO - Epoch [124][1800/3746] lr: 7.516e-03, eta: 17:19:58, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4711, top5_acc: 0.7231, loss_cls: 4.6224, loss: 4.6224 +2024-01-02 22:06:31,828 - pyskl - INFO - Epoch [124][1900/3746] lr: 7.502e-03, eta: 17:18:54, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4580, top5_acc: 0.7198, loss_cls: 4.6535, loss: 4.6535 +2024-01-02 22:07:31,488 - pyskl - INFO - Epoch [124][2000/3746] lr: 7.487e-03, eta: 17:17:49, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4709, top5_acc: 0.7252, loss_cls: 4.6227, loss: 4.6227 +2024-01-02 22:08:30,845 - pyskl - INFO - Epoch [124][2100/3746] lr: 7.472e-03, eta: 17:16:44, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4584, top5_acc: 0.7148, loss_cls: 4.6767, loss: 4.6767 +2024-01-02 22:09:30,043 - pyskl - INFO - Epoch [124][2200/3746] lr: 7.457e-03, eta: 17:15:39, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4738, top5_acc: 0.7317, loss_cls: 4.6119, loss: 4.6119 +2024-01-02 22:10:29,247 - pyskl - INFO - Epoch [124][2300/3746] lr: 7.443e-03, eta: 17:14:34, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4648, top5_acc: 0.7234, loss_cls: 4.6301, loss: 4.6301 +2024-01-02 22:11:28,506 - pyskl - INFO - Epoch [124][2400/3746] lr: 7.428e-03, eta: 17:13:30, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4730, top5_acc: 0.7234, loss_cls: 4.6155, loss: 4.6155 +2024-01-02 22:12:27,891 - pyskl - INFO - Epoch [124][2500/3746] lr: 7.413e-03, eta: 17:12:25, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4641, top5_acc: 0.7280, loss_cls: 4.6414, loss: 4.6414 +2024-01-02 22:13:27,131 - pyskl - INFO - Epoch [124][2600/3746] lr: 7.399e-03, eta: 17:11:20, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4620, top5_acc: 0.7228, loss_cls: 4.6533, loss: 4.6533 +2024-01-02 22:14:26,392 - pyskl - INFO - Epoch [124][2700/3746] lr: 7.384e-03, eta: 17:10:15, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4719, top5_acc: 0.7208, loss_cls: 4.6214, loss: 4.6214 +2024-01-02 22:15:25,851 - pyskl - INFO - Epoch [124][2800/3746] lr: 7.370e-03, eta: 17:09:11, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4564, top5_acc: 0.7127, loss_cls: 4.6789, loss: 4.6789 +2024-01-02 22:16:25,540 - pyskl - INFO - Epoch [124][2900/3746] lr: 7.355e-03, eta: 17:08:06, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4609, top5_acc: 0.7278, loss_cls: 4.6213, loss: 4.6213 +2024-01-02 22:17:24,936 - pyskl - INFO - Epoch [124][3000/3746] lr: 7.340e-03, eta: 17:07:01, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4697, top5_acc: 0.7300, loss_cls: 4.6268, loss: 4.6268 +2024-01-02 22:18:25,001 - pyskl - INFO - Epoch [124][3100/3746] lr: 7.326e-03, eta: 17:05:57, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4608, top5_acc: 0.7186, loss_cls: 4.6407, loss: 4.6407 +2024-01-02 22:19:25,181 - pyskl - INFO - Epoch [124][3200/3746] lr: 7.311e-03, eta: 17:04:53, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4662, top5_acc: 0.7212, loss_cls: 4.6279, loss: 4.6279 +2024-01-02 22:20:25,156 - pyskl - INFO - Epoch [124][3300/3746] lr: 7.297e-03, eta: 17:03:49, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4647, top5_acc: 0.7262, loss_cls: 4.6385, loss: 4.6385 +2024-01-02 22:21:24,574 - pyskl - INFO - Epoch [124][3400/3746] lr: 7.282e-03, eta: 17:02:44, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4708, top5_acc: 0.7292, loss_cls: 4.6273, loss: 4.6273 +2024-01-02 22:22:23,985 - pyskl - INFO - Epoch [124][3500/3746] lr: 7.268e-03, eta: 17:01:39, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4597, top5_acc: 0.7191, loss_cls: 4.6454, loss: 4.6454 +2024-01-02 22:23:23,293 - pyskl - INFO - Epoch [124][3600/3746] lr: 7.253e-03, eta: 17:00:35, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4597, top5_acc: 0.7188, loss_cls: 4.6520, loss: 4.6520 +2024-01-02 22:24:23,477 - pyskl - INFO - Epoch [124][3700/3746] lr: 7.239e-03, eta: 16:59:30, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.4505, top5_acc: 0.7164, loss_cls: 4.6837, loss: 4.6837 +2024-01-02 22:24:53,821 - pyskl - INFO - Saving checkpoint at 124 epochs +2024-01-02 22:26:51,078 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 22:26:51,912 - pyskl - INFO - +top1_acc 0.3896 +top5_acc 0.6471 +2024-01-02 22:26:51,912 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 22:26:51,945 - pyskl - INFO - +mean_acc 0.3893 +2024-01-02 22:26:51,951 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_123.pth was removed +2024-01-02 22:26:52,244 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. +2024-01-02 22:26:52,245 - pyskl - INFO - Best top1_acc is 0.3896 at 124 epoch. +2024-01-02 22:26:52,253 - pyskl - INFO - Epoch(val) [124][309] top1_acc: 0.3896, top5_acc: 0.6471, mean_class_accuracy: 0.3893 +2024-01-02 22:30:11,361 - pyskl - INFO - Epoch [125][100/3746] lr: 7.217e-03, eta: 16:58:58, time: 1.991, data_time: 1.397, memory: 16180, top1_acc: 0.4898, top5_acc: 0.7484, loss_cls: 4.5037, loss: 4.5037 +2024-01-02 22:31:11,145 - pyskl - INFO - Epoch [125][200/3746] lr: 7.203e-03, eta: 16:57:54, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4798, top5_acc: 0.7438, loss_cls: 4.5377, loss: 4.5377 +2024-01-02 22:32:11,651 - pyskl - INFO - Epoch [125][300/3746] lr: 7.189e-03, eta: 16:56:49, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.4781, top5_acc: 0.7388, loss_cls: 4.5530, loss: 4.5530 +2024-01-02 22:33:11,083 - pyskl - INFO - Epoch [125][400/3746] lr: 7.174e-03, eta: 16:55:45, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4742, top5_acc: 0.7312, loss_cls: 4.5885, loss: 4.5885 +2024-01-02 22:34:10,872 - pyskl - INFO - Epoch [125][500/3746] lr: 7.160e-03, eta: 16:54:40, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4722, top5_acc: 0.7303, loss_cls: 4.5710, loss: 4.5710 +2024-01-02 22:35:10,454 - pyskl - INFO - Epoch [125][600/3746] lr: 7.145e-03, eta: 16:53:36, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4675, top5_acc: 0.7250, loss_cls: 4.6268, loss: 4.6268 +2024-01-02 22:36:10,015 - pyskl - INFO - Epoch [125][700/3746] lr: 7.131e-03, eta: 16:52:31, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4839, top5_acc: 0.7377, loss_cls: 4.5491, loss: 4.5491 +2024-01-02 22:37:09,503 - pyskl - INFO - Epoch [125][800/3746] lr: 7.117e-03, eta: 16:51:26, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4802, top5_acc: 0.7350, loss_cls: 4.5805, loss: 4.5805 +2024-01-02 22:38:08,849 - pyskl - INFO - Epoch [125][900/3746] lr: 7.102e-03, eta: 16:50:22, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4747, top5_acc: 0.7323, loss_cls: 4.5883, loss: 4.5883 +2024-01-02 22:39:08,352 - pyskl - INFO - Epoch [125][1000/3746] lr: 7.088e-03, eta: 16:49:17, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4698, top5_acc: 0.7228, loss_cls: 4.6064, loss: 4.6064 +2024-01-02 22:40:08,022 - pyskl - INFO - Epoch [125][1100/3746] lr: 7.073e-03, eta: 16:48:12, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4764, top5_acc: 0.7386, loss_cls: 4.5529, loss: 4.5529 +2024-01-02 22:41:07,894 - pyskl - INFO - Epoch [125][1200/3746] lr: 7.059e-03, eta: 16:47:08, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4833, top5_acc: 0.7389, loss_cls: 4.5241, loss: 4.5241 +2024-01-02 22:42:07,426 - pyskl - INFO - Epoch [125][1300/3746] lr: 7.045e-03, eta: 16:46:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4761, top5_acc: 0.7330, loss_cls: 4.5746, loss: 4.5746 +2024-01-02 22:43:06,751 - pyskl - INFO - Epoch [125][1400/3746] lr: 7.031e-03, eta: 16:44:59, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4884, top5_acc: 0.7375, loss_cls: 4.5291, loss: 4.5291 +2024-01-02 22:44:06,428 - pyskl - INFO - Epoch [125][1500/3746] lr: 7.016e-03, eta: 16:43:54, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4763, top5_acc: 0.7320, loss_cls: 4.5764, loss: 4.5764 +2024-01-02 22:45:05,981 - pyskl - INFO - Epoch [125][1600/3746] lr: 7.002e-03, eta: 16:42:50, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4791, top5_acc: 0.7400, loss_cls: 4.5660, loss: 4.5660 +2024-01-02 22:46:05,698 - pyskl - INFO - Epoch [125][1700/3746] lr: 6.988e-03, eta: 16:41:45, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4656, top5_acc: 0.7242, loss_cls: 4.6380, loss: 4.6380 +2024-01-02 22:47:05,013 - pyskl - INFO - Epoch [125][1800/3746] lr: 6.973e-03, eta: 16:40:40, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4761, top5_acc: 0.7342, loss_cls: 4.5815, loss: 4.5815 +2024-01-02 22:48:04,824 - pyskl - INFO - Epoch [125][1900/3746] lr: 6.959e-03, eta: 16:39:36, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4677, top5_acc: 0.7342, loss_cls: 4.6077, loss: 4.6077 +2024-01-02 22:49:04,961 - pyskl - INFO - Epoch [125][2000/3746] lr: 6.945e-03, eta: 16:38:32, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4770, top5_acc: 0.7266, loss_cls: 4.5808, loss: 4.5808 +2024-01-02 22:50:04,394 - pyskl - INFO - Epoch [125][2100/3746] lr: 6.931e-03, eta: 16:37:27, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4634, top5_acc: 0.7170, loss_cls: 4.6611, loss: 4.6611 +2024-01-02 22:51:03,840 - pyskl - INFO - Epoch [125][2200/3746] lr: 6.917e-03, eta: 16:36:23, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4703, top5_acc: 0.7238, loss_cls: 4.6291, loss: 4.6291 +2024-01-02 22:52:03,325 - pyskl - INFO - Epoch [125][2300/3746] lr: 6.902e-03, eta: 16:35:18, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4711, top5_acc: 0.7262, loss_cls: 4.6022, loss: 4.6022 +2024-01-02 22:53:02,714 - pyskl - INFO - Epoch [125][2400/3746] lr: 6.888e-03, eta: 16:34:13, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4639, top5_acc: 0.7269, loss_cls: 4.6253, loss: 4.6253 +2024-01-02 22:54:02,291 - pyskl - INFO - Epoch [125][2500/3746] lr: 6.874e-03, eta: 16:33:09, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4645, top5_acc: 0.7205, loss_cls: 4.6414, loss: 4.6414 +2024-01-02 22:55:01,622 - pyskl - INFO - Epoch [125][2600/3746] lr: 6.860e-03, eta: 16:32:04, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4709, top5_acc: 0.7155, loss_cls: 4.6257, loss: 4.6257 +2024-01-02 22:56:00,658 - pyskl - INFO - Epoch [125][2700/3746] lr: 6.846e-03, eta: 16:30:59, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4736, top5_acc: 0.7320, loss_cls: 4.5817, loss: 4.5817 +2024-01-02 22:57:00,152 - pyskl - INFO - Epoch [125][2800/3746] lr: 6.832e-03, eta: 16:29:55, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4548, top5_acc: 0.7217, loss_cls: 4.6406, loss: 4.6406 +2024-01-02 22:57:59,597 - pyskl - INFO - Epoch [125][2900/3746] lr: 6.818e-03, eta: 16:28:50, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4681, top5_acc: 0.7245, loss_cls: 4.6230, loss: 4.6230 +2024-01-02 22:58:59,178 - pyskl - INFO - Epoch [125][3000/3746] lr: 6.804e-03, eta: 16:27:46, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4631, top5_acc: 0.7241, loss_cls: 4.6114, loss: 4.6114 +2024-01-02 22:59:59,097 - pyskl - INFO - Epoch [125][3100/3746] lr: 6.789e-03, eta: 16:26:42, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4677, top5_acc: 0.7231, loss_cls: 4.6303, loss: 4.6303 +2024-01-02 23:00:58,889 - pyskl - INFO - Epoch [125][3200/3746] lr: 6.775e-03, eta: 16:25:37, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4572, top5_acc: 0.7152, loss_cls: 4.6849, loss: 4.6849 +2024-01-02 23:01:58,710 - pyskl - INFO - Epoch [125][3300/3746] lr: 6.761e-03, eta: 16:24:33, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4694, top5_acc: 0.7233, loss_cls: 4.5977, loss: 4.5977 +2024-01-02 23:02:58,351 - pyskl - INFO - Epoch [125][3400/3746] lr: 6.747e-03, eta: 16:23:29, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4781, top5_acc: 0.7198, loss_cls: 4.6163, loss: 4.6163 +2024-01-02 23:03:57,444 - pyskl - INFO - Epoch [125][3500/3746] lr: 6.733e-03, eta: 16:22:24, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4603, top5_acc: 0.7205, loss_cls: 4.6608, loss: 4.6608 +2024-01-02 23:04:57,197 - pyskl - INFO - Epoch [125][3600/3746] lr: 6.719e-03, eta: 16:21:19, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4702, top5_acc: 0.7308, loss_cls: 4.6018, loss: 4.6018 +2024-01-02 23:05:57,109 - pyskl - INFO - Epoch [125][3700/3746] lr: 6.705e-03, eta: 16:20:15, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4778, top5_acc: 0.7261, loss_cls: 4.6029, loss: 4.6029 +2024-01-02 23:06:27,186 - pyskl - INFO - Saving checkpoint at 125 epochs +2024-01-02 23:08:21,620 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 23:08:22,631 - pyskl - INFO - +top1_acc 0.3964 +top5_acc 0.6535 +2024-01-02 23:08:22,631 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 23:08:22,670 - pyskl - INFO - +mean_acc 0.3961 +2024-01-02 23:08:22,677 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_124.pth was removed +2024-01-02 23:08:22,992 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. +2024-01-02 23:08:22,993 - pyskl - INFO - Best top1_acc is 0.3964 at 125 epoch. +2024-01-02 23:08:23,011 - pyskl - INFO - Epoch(val) [125][309] top1_acc: 0.3964, top5_acc: 0.6535, mean_class_accuracy: 0.3961 +2024-01-02 23:11:43,912 - pyskl - INFO - Epoch [126][100/3746] lr: 6.685e-03, eta: 16:19:40, time: 2.009, data_time: 1.414, memory: 16180, top1_acc: 0.4898, top5_acc: 0.7497, loss_cls: 4.5014, loss: 4.5014 +2024-01-02 23:12:42,904 - pyskl - INFO - Epoch [126][200/3746] lr: 6.671e-03, eta: 16:18:36, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4981, top5_acc: 0.7512, loss_cls: 4.4923, loss: 4.4923 +2024-01-02 23:13:42,353 - pyskl - INFO - Epoch [126][300/3746] lr: 6.657e-03, eta: 16:17:31, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4869, top5_acc: 0.7370, loss_cls: 4.5498, loss: 4.5498 +2024-01-02 23:14:41,560 - pyskl - INFO - Epoch [126][400/3746] lr: 6.643e-03, eta: 16:16:26, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4816, top5_acc: 0.7475, loss_cls: 4.5117, loss: 4.5117 +2024-01-02 23:15:41,087 - pyskl - INFO - Epoch [126][500/3746] lr: 6.629e-03, eta: 16:15:22, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4873, top5_acc: 0.7452, loss_cls: 4.5222, loss: 4.5222 +2024-01-02 23:16:40,785 - pyskl - INFO - Epoch [126][600/3746] lr: 6.615e-03, eta: 16:14:17, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4848, top5_acc: 0.7394, loss_cls: 4.5565, loss: 4.5565 +2024-01-02 23:17:40,584 - pyskl - INFO - Epoch [126][700/3746] lr: 6.601e-03, eta: 16:13:13, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4767, top5_acc: 0.7312, loss_cls: 4.5925, loss: 4.5925 +2024-01-02 23:18:39,972 - pyskl - INFO - Epoch [126][800/3746] lr: 6.587e-03, eta: 16:12:08, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4877, top5_acc: 0.7394, loss_cls: 4.5478, loss: 4.5478 +2024-01-02 23:19:39,246 - pyskl - INFO - Epoch [126][900/3746] lr: 6.574e-03, eta: 16:11:04, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4731, top5_acc: 0.7256, loss_cls: 4.6171, loss: 4.6171 +2024-01-02 23:20:38,664 - pyskl - INFO - Epoch [126][1000/3746] lr: 6.560e-03, eta: 16:09:59, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4778, top5_acc: 0.7336, loss_cls: 4.5650, loss: 4.5650 +2024-01-02 23:21:38,054 - pyskl - INFO - Epoch [126][1100/3746] lr: 6.546e-03, eta: 16:08:54, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4744, top5_acc: 0.7358, loss_cls: 4.5668, loss: 4.5668 +2024-01-02 23:22:37,309 - pyskl - INFO - Epoch [126][1200/3746] lr: 6.532e-03, eta: 16:07:50, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4964, top5_acc: 0.7505, loss_cls: 4.4681, loss: 4.4681 +2024-01-02 23:23:36,883 - pyskl - INFO - Epoch [126][1300/3746] lr: 6.518e-03, eta: 16:06:45, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4672, top5_acc: 0.7309, loss_cls: 4.5938, loss: 4.5938 +2024-01-02 23:24:36,389 - pyskl - INFO - Epoch [126][1400/3746] lr: 6.505e-03, eta: 16:05:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4819, top5_acc: 0.7420, loss_cls: 4.5447, loss: 4.5447 +2024-01-02 23:25:35,827 - pyskl - INFO - Epoch [126][1500/3746] lr: 6.491e-03, eta: 16:04:36, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4766, top5_acc: 0.7361, loss_cls: 4.5775, loss: 4.5775 +2024-01-02 23:26:35,521 - pyskl - INFO - Epoch [126][1600/3746] lr: 6.477e-03, eta: 16:03:32, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4733, top5_acc: 0.7405, loss_cls: 4.5548, loss: 4.5548 +2024-01-02 23:27:35,067 - pyskl - INFO - Epoch [126][1700/3746] lr: 6.463e-03, eta: 16:02:28, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4661, top5_acc: 0.7206, loss_cls: 4.6238, loss: 4.6238 +2024-01-02 23:28:34,576 - pyskl - INFO - Epoch [126][1800/3746] lr: 6.449e-03, eta: 16:01:23, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4825, top5_acc: 0.7361, loss_cls: 4.5632, loss: 4.5632 +2024-01-02 23:29:34,359 - pyskl - INFO - Epoch [126][1900/3746] lr: 6.436e-03, eta: 16:00:19, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4783, top5_acc: 0.7320, loss_cls: 4.5714, loss: 4.5714 +2024-01-02 23:30:35,015 - pyskl - INFO - Epoch [126][2000/3746] lr: 6.422e-03, eta: 15:59:15, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.4689, top5_acc: 0.7273, loss_cls: 4.5813, loss: 4.5813 +2024-01-02 23:31:34,709 - pyskl - INFO - Epoch [126][2100/3746] lr: 6.408e-03, eta: 15:58:10, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4694, top5_acc: 0.7306, loss_cls: 4.6066, loss: 4.6066 +2024-01-02 23:32:33,967 - pyskl - INFO - Epoch [126][2200/3746] lr: 6.395e-03, eta: 15:57:06, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4770, top5_acc: 0.7309, loss_cls: 4.5860, loss: 4.5860 +2024-01-02 23:33:33,830 - pyskl - INFO - Epoch [126][2300/3746] lr: 6.381e-03, eta: 15:56:02, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4755, top5_acc: 0.7334, loss_cls: 4.5749, loss: 4.5749 +2024-01-02 23:34:33,591 - pyskl - INFO - Epoch [126][2400/3746] lr: 6.367e-03, eta: 15:54:57, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4792, top5_acc: 0.7336, loss_cls: 4.5552, loss: 4.5552 +2024-01-02 23:35:33,149 - pyskl - INFO - Epoch [126][2500/3746] lr: 6.354e-03, eta: 15:53:53, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4709, top5_acc: 0.7334, loss_cls: 4.5900, loss: 4.5900 +2024-01-02 23:36:32,356 - pyskl - INFO - Epoch [126][2600/3746] lr: 6.340e-03, eta: 15:52:48, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4866, top5_acc: 0.7397, loss_cls: 4.5390, loss: 4.5390 +2024-01-02 23:37:31,339 - pyskl - INFO - Epoch [126][2700/3746] lr: 6.326e-03, eta: 15:51:44, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4763, top5_acc: 0.7347, loss_cls: 4.5803, loss: 4.5803 +2024-01-02 23:38:30,716 - pyskl - INFO - Epoch [126][2800/3746] lr: 6.313e-03, eta: 15:50:39, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4756, top5_acc: 0.7356, loss_cls: 4.5707, loss: 4.5707 +2024-01-02 23:39:30,016 - pyskl - INFO - Epoch [126][2900/3746] lr: 6.299e-03, eta: 15:49:35, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4709, top5_acc: 0.7289, loss_cls: 4.6090, loss: 4.6090 +2024-01-02 23:40:29,443 - pyskl - INFO - Epoch [126][3000/3746] lr: 6.286e-03, eta: 15:48:30, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4695, top5_acc: 0.7278, loss_cls: 4.5943, loss: 4.5943 +2024-01-02 23:41:29,529 - pyskl - INFO - Epoch [126][3100/3746] lr: 6.272e-03, eta: 15:47:26, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4772, top5_acc: 0.7266, loss_cls: 4.5771, loss: 4.5771 +2024-01-02 23:42:29,172 - pyskl - INFO - Epoch [126][3200/3746] lr: 6.259e-03, eta: 15:46:22, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4713, top5_acc: 0.7230, loss_cls: 4.6272, loss: 4.6272 +2024-01-02 23:43:28,826 - pyskl - INFO - Epoch [126][3300/3746] lr: 6.245e-03, eta: 15:45:17, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4788, top5_acc: 0.7328, loss_cls: 4.5768, loss: 4.5768 +2024-01-02 23:44:28,605 - pyskl - INFO - Epoch [126][3400/3746] lr: 6.231e-03, eta: 15:44:13, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4658, top5_acc: 0.7247, loss_cls: 4.6077, loss: 4.6077 +2024-01-02 23:45:27,925 - pyskl - INFO - Epoch [126][3500/3746] lr: 6.218e-03, eta: 15:43:09, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4795, top5_acc: 0.7347, loss_cls: 4.5670, loss: 4.5670 +2024-01-02 23:46:27,881 - pyskl - INFO - Epoch [126][3600/3746] lr: 6.204e-03, eta: 15:42:05, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4783, top5_acc: 0.7323, loss_cls: 4.5810, loss: 4.5810 +2024-01-02 23:47:28,343 - pyskl - INFO - Epoch [126][3700/3746] lr: 6.191e-03, eta: 15:41:01, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.4753, top5_acc: 0.7291, loss_cls: 4.5961, loss: 4.5961 +2024-01-02 23:47:58,331 - pyskl - INFO - Saving checkpoint at 126 epochs +2024-01-02 23:49:53,277 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 23:49:54,497 - pyskl - INFO - +top1_acc 0.4009 +top5_acc 0.6589 +2024-01-02 23:49:54,497 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 23:49:54,534 - pyskl - INFO - +mean_acc 0.4007 +2024-01-02 23:49:54,540 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_125.pth was removed +2024-01-02 23:49:54,825 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. +2024-01-02 23:49:54,826 - pyskl - INFO - Best top1_acc is 0.4009 at 126 epoch. +2024-01-02 23:49:54,833 - pyskl - INFO - Epoch(val) [126][309] top1_acc: 0.4009, top5_acc: 0.6589, mean_class_accuracy: 0.4007 +2024-01-02 23:53:20,956 - pyskl - INFO - Epoch [127][100/3746] lr: 6.171e-03, eta: 15:40:25, time: 2.061, data_time: 1.466, memory: 16180, top1_acc: 0.4966, top5_acc: 0.7486, loss_cls: 4.4863, loss: 4.4863 +2024-01-02 23:54:20,515 - pyskl - INFO - Epoch [127][200/3746] lr: 6.158e-03, eta: 15:39:21, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4952, top5_acc: 0.7523, loss_cls: 4.4843, loss: 4.4843 +2024-01-02 23:55:20,266 - pyskl - INFO - Epoch [127][300/3746] lr: 6.144e-03, eta: 15:38:16, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4922, top5_acc: 0.7423, loss_cls: 4.5104, loss: 4.5104 +2024-01-02 23:56:19,977 - pyskl - INFO - Epoch [127][400/3746] lr: 6.131e-03, eta: 15:37:12, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4906, top5_acc: 0.7534, loss_cls: 4.4990, loss: 4.4990 +2024-01-02 23:57:19,332 - pyskl - INFO - Epoch [127][500/3746] lr: 6.118e-03, eta: 15:36:07, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4756, top5_acc: 0.7411, loss_cls: 4.5689, loss: 4.5689 +2024-01-02 23:58:18,754 - pyskl - INFO - Epoch [127][600/3746] lr: 6.104e-03, eta: 15:35:03, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4889, top5_acc: 0.7416, loss_cls: 4.5212, loss: 4.5212 +2024-01-02 23:59:18,212 - pyskl - INFO - Epoch [127][700/3746] lr: 6.091e-03, eta: 15:33:58, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4847, top5_acc: 0.7395, loss_cls: 4.5207, loss: 4.5207 +2024-01-03 00:00:17,779 - pyskl - INFO - Epoch [127][800/3746] lr: 6.077e-03, eta: 15:32:54, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4863, top5_acc: 0.7480, loss_cls: 4.5033, loss: 4.5033 +2024-01-03 00:01:17,569 - pyskl - INFO - Epoch [127][900/3746] lr: 6.064e-03, eta: 15:31:50, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4923, top5_acc: 0.7433, loss_cls: 4.5090, loss: 4.5090 +2024-01-03 00:02:17,105 - pyskl - INFO - Epoch [127][1000/3746] lr: 6.051e-03, eta: 15:30:45, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4897, top5_acc: 0.7514, loss_cls: 4.4979, loss: 4.4979 +2024-01-03 00:03:16,758 - pyskl - INFO - Epoch [127][1100/3746] lr: 6.037e-03, eta: 15:29:41, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4909, top5_acc: 0.7414, loss_cls: 4.5302, loss: 4.5302 +2024-01-03 00:04:16,218 - pyskl - INFO - Epoch [127][1200/3746] lr: 6.024e-03, eta: 15:28:37, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4708, top5_acc: 0.7320, loss_cls: 4.5537, loss: 4.5537 +2024-01-03 00:05:15,766 - pyskl - INFO - Epoch [127][1300/3746] lr: 6.011e-03, eta: 15:27:32, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4711, top5_acc: 0.7331, loss_cls: 4.5709, loss: 4.5709 +2024-01-03 00:06:15,316 - pyskl - INFO - Epoch [127][1400/3746] lr: 5.998e-03, eta: 15:26:28, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4855, top5_acc: 0.7434, loss_cls: 4.5149, loss: 4.5149 +2024-01-03 00:07:14,982 - pyskl - INFO - Epoch [127][1500/3746] lr: 5.984e-03, eta: 15:25:24, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4753, top5_acc: 0.7364, loss_cls: 4.5814, loss: 4.5814 +2024-01-03 00:08:14,637 - pyskl - INFO - Epoch [127][1600/3746] lr: 5.971e-03, eta: 15:24:19, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4797, top5_acc: 0.7398, loss_cls: 4.5435, loss: 4.5435 +2024-01-03 00:09:13,962 - pyskl - INFO - Epoch [127][1700/3746] lr: 5.958e-03, eta: 15:23:15, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4797, top5_acc: 0.7347, loss_cls: 4.5667, loss: 4.5667 +2024-01-03 00:10:13,287 - pyskl - INFO - Epoch [127][1800/3746] lr: 5.945e-03, eta: 15:22:10, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4825, top5_acc: 0.7380, loss_cls: 4.5421, loss: 4.5421 +2024-01-03 00:11:12,944 - pyskl - INFO - Epoch [127][1900/3746] lr: 5.931e-03, eta: 15:21:06, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4895, top5_acc: 0.7464, loss_cls: 4.5024, loss: 4.5024 +2024-01-03 00:12:13,294 - pyskl - INFO - Epoch [127][2000/3746] lr: 5.918e-03, eta: 15:20:02, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.4902, top5_acc: 0.7359, loss_cls: 4.5356, loss: 4.5356 +2024-01-03 00:13:13,365 - pyskl - INFO - Epoch [127][2100/3746] lr: 5.905e-03, eta: 15:18:58, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4803, top5_acc: 0.7361, loss_cls: 4.5389, loss: 4.5389 +2024-01-03 00:14:13,003 - pyskl - INFO - Epoch [127][2200/3746] lr: 5.892e-03, eta: 15:17:54, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4858, top5_acc: 0.7323, loss_cls: 4.5514, loss: 4.5514 +2024-01-03 00:15:12,576 - pyskl - INFO - Epoch [127][2300/3746] lr: 5.879e-03, eta: 15:16:49, time: 0.596, data_time: 0.001, memory: 16180, top1_acc: 0.4870, top5_acc: 0.7452, loss_cls: 4.5224, loss: 4.5224 +2024-01-03 00:16:12,306 - pyskl - INFO - Epoch [127][2400/3746] lr: 5.866e-03, eta: 15:15:45, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4819, top5_acc: 0.7464, loss_cls: 4.5337, loss: 4.5337 +2024-01-03 00:17:11,584 - pyskl - INFO - Epoch [127][2500/3746] lr: 5.852e-03, eta: 15:14:41, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4772, top5_acc: 0.7288, loss_cls: 4.5969, loss: 4.5969 +2024-01-03 00:18:10,801 - pyskl - INFO - Epoch [127][2600/3746] lr: 5.839e-03, eta: 15:13:36, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4741, top5_acc: 0.7331, loss_cls: 4.5704, loss: 4.5704 +2024-01-03 00:19:10,040 - pyskl - INFO - Epoch [127][2700/3746] lr: 5.826e-03, eta: 15:12:32, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4847, top5_acc: 0.7422, loss_cls: 4.5333, loss: 4.5333 +2024-01-03 00:20:09,517 - pyskl - INFO - Epoch [127][2800/3746] lr: 5.813e-03, eta: 15:11:27, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4778, top5_acc: 0.7350, loss_cls: 4.5528, loss: 4.5528 +2024-01-03 00:21:08,786 - pyskl - INFO - Epoch [127][2900/3746] lr: 5.800e-03, eta: 15:10:23, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4734, top5_acc: 0.7358, loss_cls: 4.5818, loss: 4.5818 +2024-01-03 00:22:08,402 - pyskl - INFO - Epoch [127][3000/3746] lr: 5.787e-03, eta: 15:09:19, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4870, top5_acc: 0.7400, loss_cls: 4.5301, loss: 4.5301 +2024-01-03 00:23:08,415 - pyskl - INFO - Epoch [127][3100/3746] lr: 5.774e-03, eta: 15:08:15, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.4759, top5_acc: 0.7262, loss_cls: 4.5720, loss: 4.5720 +2024-01-03 00:24:07,650 - pyskl - INFO - Epoch [127][3200/3746] lr: 5.761e-03, eta: 15:07:10, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4766, top5_acc: 0.7345, loss_cls: 4.5669, loss: 4.5669 +2024-01-03 00:25:07,204 - pyskl - INFO - Epoch [127][3300/3746] lr: 5.748e-03, eta: 15:06:06, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4717, top5_acc: 0.7339, loss_cls: 4.5665, loss: 4.5665 +2024-01-03 00:26:06,875 - pyskl - INFO - Epoch [127][3400/3746] lr: 5.735e-03, eta: 15:05:02, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4761, top5_acc: 0.7295, loss_cls: 4.5889, loss: 4.5889 +2024-01-03 00:27:05,873 - pyskl - INFO - Epoch [127][3500/3746] lr: 5.722e-03, eta: 15:03:57, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4811, top5_acc: 0.7347, loss_cls: 4.5700, loss: 4.5700 +2024-01-03 00:28:05,290 - pyskl - INFO - Epoch [127][3600/3746] lr: 5.709e-03, eta: 15:02:53, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4922, top5_acc: 0.7383, loss_cls: 4.5392, loss: 4.5392 +2024-01-03 00:29:05,061 - pyskl - INFO - Epoch [127][3700/3746] lr: 5.696e-03, eta: 15:01:49, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4803, top5_acc: 0.7398, loss_cls: 4.5509, loss: 4.5509 +2024-01-03 00:29:35,183 - pyskl - INFO - Saving checkpoint at 127 epochs +2024-01-03 00:31:27,150 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 00:31:28,009 - pyskl - INFO - +top1_acc 0.3928 +top5_acc 0.6501 +2024-01-03 00:31:28,009 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 00:31:28,045 - pyskl - INFO - +mean_acc 0.3925 +2024-01-03 00:31:28,056 - pyskl - INFO - Epoch(val) [127][309] top1_acc: 0.3928, top5_acc: 0.6501, mean_class_accuracy: 0.3925 +2024-01-03 00:34:41,259 - pyskl - INFO - Epoch [128][100/3746] lr: 5.677e-03, eta: 15:01:04, time: 1.932, data_time: 1.337, memory: 16180, top1_acc: 0.5047, top5_acc: 0.7630, loss_cls: 4.4306, loss: 4.4306 +2024-01-03 00:35:40,520 - pyskl - INFO - Epoch [128][200/3746] lr: 5.664e-03, eta: 14:59:59, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5061, top5_acc: 0.7525, loss_cls: 4.4468, loss: 4.4468 +2024-01-03 00:36:39,905 - pyskl - INFO - Epoch [128][300/3746] lr: 5.651e-03, eta: 14:58:55, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5128, top5_acc: 0.7644, loss_cls: 4.4131, loss: 4.4131 +2024-01-03 00:37:39,312 - pyskl - INFO - Epoch [128][400/3746] lr: 5.638e-03, eta: 14:57:51, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4956, top5_acc: 0.7483, loss_cls: 4.4738, loss: 4.4738 +2024-01-03 00:38:38,489 - pyskl - INFO - Epoch [128][500/3746] lr: 5.625e-03, eta: 14:56:46, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4873, top5_acc: 0.7497, loss_cls: 4.5007, loss: 4.5007 +2024-01-03 00:39:37,631 - pyskl - INFO - Epoch [128][600/3746] lr: 5.612e-03, eta: 14:55:42, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5016, top5_acc: 0.7459, loss_cls: 4.4624, loss: 4.4624 +2024-01-03 00:40:36,812 - pyskl - INFO - Epoch [128][700/3746] lr: 5.600e-03, eta: 14:54:37, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4850, top5_acc: 0.7444, loss_cls: 4.5156, loss: 4.5156 +2024-01-03 00:41:35,833 - pyskl - INFO - Epoch [128][800/3746] lr: 5.587e-03, eta: 14:53:33, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5008, top5_acc: 0.7512, loss_cls: 4.4536, loss: 4.4536 +2024-01-03 00:42:34,872 - pyskl - INFO - Epoch [128][900/3746] lr: 5.574e-03, eta: 14:52:28, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4923, top5_acc: 0.7484, loss_cls: 4.4850, loss: 4.4850 +2024-01-03 00:43:34,187 - pyskl - INFO - Epoch [128][1000/3746] lr: 5.561e-03, eta: 14:51:24, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4831, top5_acc: 0.7362, loss_cls: 4.5489, loss: 4.5489 +2024-01-03 00:44:33,376 - pyskl - INFO - Epoch [128][1100/3746] lr: 5.548e-03, eta: 14:50:19, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4855, top5_acc: 0.7417, loss_cls: 4.5509, loss: 4.5509 +2024-01-03 00:45:32,610 - pyskl - INFO - Epoch [128][1200/3746] lr: 5.536e-03, eta: 14:49:15, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4866, top5_acc: 0.7442, loss_cls: 4.5142, loss: 4.5142 +2024-01-03 00:46:31,563 - pyskl - INFO - Epoch [128][1300/3746] lr: 5.523e-03, eta: 14:48:10, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4994, top5_acc: 0.7498, loss_cls: 4.4864, loss: 4.4864 +2024-01-03 00:47:30,916 - pyskl - INFO - Epoch [128][1400/3746] lr: 5.510e-03, eta: 14:47:06, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4883, top5_acc: 0.7469, loss_cls: 4.4937, loss: 4.4937 +2024-01-03 00:48:29,766 - pyskl - INFO - Epoch [128][1500/3746] lr: 5.497e-03, eta: 14:46:01, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.4792, top5_acc: 0.7366, loss_cls: 4.5402, loss: 4.5402 +2024-01-03 00:49:28,905 - pyskl - INFO - Epoch [128][1600/3746] lr: 5.485e-03, eta: 14:44:57, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4784, top5_acc: 0.7397, loss_cls: 4.5507, loss: 4.5507 +2024-01-03 00:50:28,265 - pyskl - INFO - Epoch [128][1700/3746] lr: 5.472e-03, eta: 14:43:53, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4892, top5_acc: 0.7420, loss_cls: 4.5199, loss: 4.5199 +2024-01-03 00:51:27,534 - pyskl - INFO - Epoch [128][1800/3746] lr: 5.459e-03, eta: 14:42:48, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4942, top5_acc: 0.7495, loss_cls: 4.4845, loss: 4.4845 +2024-01-03 00:52:26,533 - pyskl - INFO - Epoch [128][1900/3746] lr: 5.446e-03, eta: 14:41:44, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4945, top5_acc: 0.7556, loss_cls: 4.4768, loss: 4.4768 +2024-01-03 00:53:25,518 - pyskl - INFO - Epoch [128][2000/3746] lr: 5.434e-03, eta: 14:40:39, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4908, top5_acc: 0.7411, loss_cls: 4.5119, loss: 4.5119 +2024-01-03 00:54:25,578 - pyskl - INFO - Epoch [128][2100/3746] lr: 5.421e-03, eta: 14:39:35, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4759, top5_acc: 0.7345, loss_cls: 4.5479, loss: 4.5479 +2024-01-03 00:55:24,892 - pyskl - INFO - Epoch [128][2200/3746] lr: 5.408e-03, eta: 14:38:31, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4800, top5_acc: 0.7445, loss_cls: 4.5167, loss: 4.5167 +2024-01-03 00:56:24,392 - pyskl - INFO - Epoch [128][2300/3746] lr: 5.396e-03, eta: 14:37:27, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4755, top5_acc: 0.7333, loss_cls: 4.5569, loss: 4.5569 +2024-01-03 00:57:23,798 - pyskl - INFO - Epoch [128][2400/3746] lr: 5.383e-03, eta: 14:36:22, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4886, top5_acc: 0.7472, loss_cls: 4.5154, loss: 4.5154 +2024-01-03 00:58:22,782 - pyskl - INFO - Epoch [128][2500/3746] lr: 5.370e-03, eta: 14:35:18, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4819, top5_acc: 0.7378, loss_cls: 4.5352, loss: 4.5352 +2024-01-03 00:59:21,918 - pyskl - INFO - Epoch [128][2600/3746] lr: 5.358e-03, eta: 14:34:14, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4927, top5_acc: 0.7428, loss_cls: 4.5248, loss: 4.5248 +2024-01-03 01:00:20,758 - pyskl - INFO - Epoch [128][2700/3746] lr: 5.345e-03, eta: 14:33:09, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.4945, top5_acc: 0.7511, loss_cls: 4.4794, loss: 4.4794 +2024-01-03 01:01:19,989 - pyskl - INFO - Epoch [128][2800/3746] lr: 5.333e-03, eta: 14:32:05, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4963, top5_acc: 0.7438, loss_cls: 4.5105, loss: 4.5105 +2024-01-03 01:02:18,899 - pyskl - INFO - Epoch [128][2900/3746] lr: 5.320e-03, eta: 14:31:00, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.4767, top5_acc: 0.7356, loss_cls: 4.5736, loss: 4.5736 +2024-01-03 01:03:18,459 - pyskl - INFO - Epoch [128][3000/3746] lr: 5.308e-03, eta: 14:29:56, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.4906, top5_acc: 0.7439, loss_cls: 4.5227, loss: 4.5227 +2024-01-03 01:04:18,305 - pyskl - INFO - Epoch [128][3100/3746] lr: 5.295e-03, eta: 14:28:52, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4897, top5_acc: 0.7453, loss_cls: 4.5093, loss: 4.5093 +2024-01-03 01:05:18,015 - pyskl - INFO - Epoch [128][3200/3746] lr: 5.283e-03, eta: 14:27:48, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.4923, top5_acc: 0.7458, loss_cls: 4.5223, loss: 4.5223 +2024-01-03 01:06:17,299 - pyskl - INFO - Epoch [128][3300/3746] lr: 5.270e-03, eta: 14:26:44, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4772, top5_acc: 0.7398, loss_cls: 4.5462, loss: 4.5462 +2024-01-03 01:07:16,775 - pyskl - INFO - Epoch [128][3400/3746] lr: 5.258e-03, eta: 14:25:40, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4900, top5_acc: 0.7330, loss_cls: 4.5390, loss: 4.5390 +2024-01-03 01:08:15,840 - pyskl - INFO - Epoch [128][3500/3746] lr: 5.245e-03, eta: 14:24:35, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4886, top5_acc: 0.7442, loss_cls: 4.5059, loss: 4.5059 +2024-01-03 01:09:15,059 - pyskl - INFO - Epoch [128][3600/3746] lr: 5.233e-03, eta: 14:23:31, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4888, top5_acc: 0.7455, loss_cls: 4.5099, loss: 4.5099 +2024-01-03 01:10:14,995 - pyskl - INFO - Epoch [128][3700/3746] lr: 5.220e-03, eta: 14:22:27, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4925, top5_acc: 0.7452, loss_cls: 4.4950, loss: 4.4950 +2024-01-03 01:10:44,944 - pyskl - INFO - Saving checkpoint at 128 epochs +2024-01-03 01:12:39,630 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 01:12:40,481 - pyskl - INFO - +top1_acc 0.4075 +top5_acc 0.6615 +2024-01-03 01:12:40,481 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 01:12:40,511 - pyskl - INFO - +mean_acc 0.4072 +2024-01-03 01:12:40,516 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_126.pth was removed +2024-01-03 01:12:40,752 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. +2024-01-03 01:12:40,752 - pyskl - INFO - Best top1_acc is 0.4075 at 128 epoch. +2024-01-03 01:12:40,759 - pyskl - INFO - Epoch(val) [128][309] top1_acc: 0.4075, top5_acc: 0.6615, mean_class_accuracy: 0.4072 +2024-01-03 01:15:58,573 - pyskl - INFO - Epoch [129][100/3746] lr: 5.202e-03, eta: 14:21:41, time: 1.978, data_time: 1.379, memory: 16180, top1_acc: 0.5069, top5_acc: 0.7662, loss_cls: 4.3976, loss: 4.3976 +2024-01-03 01:16:57,832 - pyskl - INFO - Epoch [129][200/3746] lr: 5.190e-03, eta: 14:20:37, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5111, top5_acc: 0.7664, loss_cls: 4.4105, loss: 4.4105 +2024-01-03 01:17:57,143 - pyskl - INFO - Epoch [129][300/3746] lr: 5.177e-03, eta: 14:19:32, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5025, top5_acc: 0.7597, loss_cls: 4.4224, loss: 4.4224 +2024-01-03 01:18:56,402 - pyskl - INFO - Epoch [129][400/3746] lr: 5.165e-03, eta: 14:18:28, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5014, top5_acc: 0.7527, loss_cls: 4.4405, loss: 4.4405 +2024-01-03 01:19:55,297 - pyskl - INFO - Epoch [129][500/3746] lr: 5.153e-03, eta: 14:17:24, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.4995, top5_acc: 0.7505, loss_cls: 4.4624, loss: 4.4624 +2024-01-03 01:20:54,575 - pyskl - INFO - Epoch [129][600/3746] lr: 5.140e-03, eta: 14:16:19, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5112, top5_acc: 0.7617, loss_cls: 4.4282, loss: 4.4282 +2024-01-03 01:21:53,757 - pyskl - INFO - Epoch [129][700/3746] lr: 5.128e-03, eta: 14:15:15, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5059, top5_acc: 0.7573, loss_cls: 4.4291, loss: 4.4291 +2024-01-03 01:22:52,652 - pyskl - INFO - Epoch [129][800/3746] lr: 5.116e-03, eta: 14:14:10, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.4863, top5_acc: 0.7480, loss_cls: 4.4833, loss: 4.4833 +2024-01-03 01:23:51,974 - pyskl - INFO - Epoch [129][900/3746] lr: 5.103e-03, eta: 14:13:06, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5119, top5_acc: 0.7658, loss_cls: 4.4146, loss: 4.4146 +2024-01-03 01:24:51,140 - pyskl - INFO - Epoch [129][1000/3746] lr: 5.091e-03, eta: 14:12:02, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4913, top5_acc: 0.7430, loss_cls: 4.4875, loss: 4.4875 +2024-01-03 01:25:50,180 - pyskl - INFO - Epoch [129][1100/3746] lr: 5.079e-03, eta: 14:10:57, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4947, top5_acc: 0.7511, loss_cls: 4.4690, loss: 4.4690 +2024-01-03 01:26:49,483 - pyskl - INFO - Epoch [129][1200/3746] lr: 5.066e-03, eta: 14:09:53, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5016, top5_acc: 0.7550, loss_cls: 4.4562, loss: 4.4562 +2024-01-03 01:27:48,886 - pyskl - INFO - Epoch [129][1300/3746] lr: 5.054e-03, eta: 14:08:49, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4905, top5_acc: 0.7439, loss_cls: 4.5100, loss: 4.5100 +2024-01-03 01:28:47,992 - pyskl - INFO - Epoch [129][1400/3746] lr: 5.042e-03, eta: 14:07:45, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5052, top5_acc: 0.7530, loss_cls: 4.4556, loss: 4.4556 +2024-01-03 01:29:46,907 - pyskl - INFO - Epoch [129][1500/3746] lr: 5.030e-03, eta: 14:06:40, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.4930, top5_acc: 0.7495, loss_cls: 4.4964, loss: 4.4964 +2024-01-03 01:30:45,750 - pyskl - INFO - Epoch [129][1600/3746] lr: 5.017e-03, eta: 14:05:36, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.4919, top5_acc: 0.7442, loss_cls: 4.4990, loss: 4.4990 +2024-01-03 01:31:44,760 - pyskl - INFO - Epoch [129][1700/3746] lr: 5.005e-03, eta: 14:04:31, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4938, top5_acc: 0.7539, loss_cls: 4.4722, loss: 4.4722 +2024-01-03 01:32:43,808 - pyskl - INFO - Epoch [129][1800/3746] lr: 4.993e-03, eta: 14:03:27, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4934, top5_acc: 0.7566, loss_cls: 4.4663, loss: 4.4663 +2024-01-03 01:33:42,909 - pyskl - INFO - Epoch [129][1900/3746] lr: 4.981e-03, eta: 14:02:23, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4891, top5_acc: 0.7452, loss_cls: 4.4983, loss: 4.4983 +2024-01-03 01:34:41,899 - pyskl - INFO - Epoch [129][2000/3746] lr: 4.969e-03, eta: 14:01:18, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4895, top5_acc: 0.7472, loss_cls: 4.5302, loss: 4.5302 +2024-01-03 01:35:41,656 - pyskl - INFO - Epoch [129][2100/3746] lr: 4.957e-03, eta: 14:00:14, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4886, top5_acc: 0.7538, loss_cls: 4.5009, loss: 4.5009 +2024-01-03 01:36:41,237 - pyskl - INFO - Epoch [129][2200/3746] lr: 4.944e-03, eta: 13:59:10, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5008, top5_acc: 0.7464, loss_cls: 4.4595, loss: 4.4595 +2024-01-03 01:37:40,316 - pyskl - INFO - Epoch [129][2300/3746] lr: 4.932e-03, eta: 13:58:06, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5125, top5_acc: 0.7606, loss_cls: 4.4164, loss: 4.4164 +2024-01-03 01:38:39,359 - pyskl - INFO - Epoch [129][2400/3746] lr: 4.920e-03, eta: 13:57:02, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4922, top5_acc: 0.7505, loss_cls: 4.4877, loss: 4.4877 +2024-01-03 01:39:38,618 - pyskl - INFO - Epoch [129][2500/3746] lr: 4.908e-03, eta: 13:55:57, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4919, top5_acc: 0.7422, loss_cls: 4.5052, loss: 4.5052 +2024-01-03 01:40:38,070 - pyskl - INFO - Epoch [129][2600/3746] lr: 4.896e-03, eta: 13:54:53, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4889, top5_acc: 0.7433, loss_cls: 4.5217, loss: 4.5217 +2024-01-03 01:41:36,992 - pyskl - INFO - Epoch [129][2700/3746] lr: 4.884e-03, eta: 13:53:49, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.4905, top5_acc: 0.7473, loss_cls: 4.4879, loss: 4.4879 +2024-01-03 01:42:35,842 - pyskl - INFO - Epoch [129][2800/3746] lr: 4.872e-03, eta: 13:52:45, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.4916, top5_acc: 0.7486, loss_cls: 4.4946, loss: 4.4946 +2024-01-03 01:43:35,278 - pyskl - INFO - Epoch [129][2900/3746] lr: 4.860e-03, eta: 13:51:40, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4848, top5_acc: 0.7486, loss_cls: 4.4835, loss: 4.4835 +2024-01-03 01:44:35,101 - pyskl - INFO - Epoch [129][3000/3746] lr: 4.848e-03, eta: 13:50:36, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4967, top5_acc: 0.7395, loss_cls: 4.5074, loss: 4.5074 +2024-01-03 01:45:35,229 - pyskl - INFO - Epoch [129][3100/3746] lr: 4.836e-03, eta: 13:49:33, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4967, top5_acc: 0.7506, loss_cls: 4.4741, loss: 4.4741 +2024-01-03 01:46:34,605 - pyskl - INFO - Epoch [129][3200/3746] lr: 4.824e-03, eta: 13:48:29, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4931, top5_acc: 0.7447, loss_cls: 4.5102, loss: 4.5102 +2024-01-03 01:47:34,018 - pyskl - INFO - Epoch [129][3300/3746] lr: 4.812e-03, eta: 13:47:24, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4961, top5_acc: 0.7528, loss_cls: 4.4730, loss: 4.4730 +2024-01-03 01:48:34,432 - pyskl - INFO - Epoch [129][3400/3746] lr: 4.800e-03, eta: 13:46:21, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.4923, top5_acc: 0.7455, loss_cls: 4.5034, loss: 4.5034 +2024-01-03 01:49:33,686 - pyskl - INFO - Epoch [129][3500/3746] lr: 4.788e-03, eta: 13:45:17, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4913, top5_acc: 0.7469, loss_cls: 4.5069, loss: 4.5069 +2024-01-03 01:50:32,971 - pyskl - INFO - Epoch [129][3600/3746] lr: 4.776e-03, eta: 13:44:12, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4855, top5_acc: 0.7408, loss_cls: 4.5304, loss: 4.5304 +2024-01-03 01:51:32,506 - pyskl - INFO - Epoch [129][3700/3746] lr: 4.764e-03, eta: 13:43:08, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4902, top5_acc: 0.7423, loss_cls: 4.5169, loss: 4.5169 +2024-01-03 01:52:01,964 - pyskl - INFO - Saving checkpoint at 129 epochs +2024-01-03 01:53:57,325 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 01:53:58,145 - pyskl - INFO - +top1_acc 0.4146 +top5_acc 0.6703 +2024-01-03 01:53:58,145 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 01:53:58,180 - pyskl - INFO - +mean_acc 0.4143 +2024-01-03 01:53:58,185 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_128.pth was removed +2024-01-03 01:53:58,445 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2024-01-03 01:53:58,446 - pyskl - INFO - Best top1_acc is 0.4146 at 129 epoch. +2024-01-03 01:53:58,456 - pyskl - INFO - Epoch(val) [129][309] top1_acc: 0.4146, top5_acc: 0.6703, mean_class_accuracy: 0.4143 +2024-01-03 01:57:21,694 - pyskl - INFO - Epoch [130][100/3746] lr: 4.747e-03, eta: 13:42:22, time: 2.032, data_time: 1.434, memory: 16180, top1_acc: 0.5144, top5_acc: 0.7655, loss_cls: 4.3914, loss: 4.3914 +2024-01-03 01:58:21,317 - pyskl - INFO - Epoch [130][200/3746] lr: 4.735e-03, eta: 13:41:18, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5180, top5_acc: 0.7716, loss_cls: 4.3714, loss: 4.3714 +2024-01-03 01:59:20,667 - pyskl - INFO - Epoch [130][300/3746] lr: 4.723e-03, eta: 13:40:13, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5164, top5_acc: 0.7645, loss_cls: 4.3822, loss: 4.3822 +2024-01-03 02:00:20,153 - pyskl - INFO - Epoch [130][400/3746] lr: 4.711e-03, eta: 13:39:09, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5009, top5_acc: 0.7564, loss_cls: 4.4303, loss: 4.4303 +2024-01-03 02:01:19,367 - pyskl - INFO - Epoch [130][500/3746] lr: 4.699e-03, eta: 13:38:05, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5062, top5_acc: 0.7622, loss_cls: 4.4144, loss: 4.4144 +2024-01-03 02:02:18,793 - pyskl - INFO - Epoch [130][600/3746] lr: 4.688e-03, eta: 13:37:01, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5072, top5_acc: 0.7575, loss_cls: 4.4287, loss: 4.4287 +2024-01-03 02:03:18,421 - pyskl - INFO - Epoch [130][700/3746] lr: 4.676e-03, eta: 13:35:57, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5045, top5_acc: 0.7581, loss_cls: 4.4395, loss: 4.4395 +2024-01-03 02:04:17,794 - pyskl - INFO - Epoch [130][800/3746] lr: 4.664e-03, eta: 13:34:53, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5159, top5_acc: 0.7719, loss_cls: 4.3756, loss: 4.3756 +2024-01-03 02:05:16,680 - pyskl - INFO - Epoch [130][900/3746] lr: 4.652e-03, eta: 13:33:48, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5081, top5_acc: 0.7633, loss_cls: 4.4108, loss: 4.4108 +2024-01-03 02:06:16,040 - pyskl - INFO - Epoch [130][1000/3746] lr: 4.640e-03, eta: 13:32:44, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5091, top5_acc: 0.7620, loss_cls: 4.4049, loss: 4.4049 +2024-01-03 02:07:15,247 - pyskl - INFO - Epoch [130][1100/3746] lr: 4.629e-03, eta: 13:31:40, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4905, top5_acc: 0.7514, loss_cls: 4.4667, loss: 4.4667 +2024-01-03 02:08:14,522 - pyskl - INFO - Epoch [130][1200/3746] lr: 4.617e-03, eta: 13:30:36, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5072, top5_acc: 0.7575, loss_cls: 4.4167, loss: 4.4167 +2024-01-03 02:09:13,377 - pyskl - INFO - Epoch [130][1300/3746] lr: 4.605e-03, eta: 13:29:32, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5012, top5_acc: 0.7655, loss_cls: 4.4201, loss: 4.4201 +2024-01-03 02:10:12,398 - pyskl - INFO - Epoch [130][1400/3746] lr: 4.594e-03, eta: 13:28:27, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5127, top5_acc: 0.7577, loss_cls: 4.4234, loss: 4.4234 +2024-01-03 02:11:11,536 - pyskl - INFO - Epoch [130][1500/3746] lr: 4.582e-03, eta: 13:27:23, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5020, top5_acc: 0.7628, loss_cls: 4.4279, loss: 4.4279 +2024-01-03 02:12:10,744 - pyskl - INFO - Epoch [130][1600/3746] lr: 4.570e-03, eta: 13:26:19, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4970, top5_acc: 0.7516, loss_cls: 4.4578, loss: 4.4578 +2024-01-03 02:13:09,918 - pyskl - INFO - Epoch [130][1700/3746] lr: 4.558e-03, eta: 13:25:15, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4973, top5_acc: 0.7489, loss_cls: 4.4711, loss: 4.4711 +2024-01-03 02:14:08,909 - pyskl - INFO - Epoch [130][1800/3746] lr: 4.547e-03, eta: 13:24:10, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4942, top5_acc: 0.7533, loss_cls: 4.4545, loss: 4.4545 +2024-01-03 02:15:07,889 - pyskl - INFO - Epoch [130][1900/3746] lr: 4.535e-03, eta: 13:23:06, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5066, top5_acc: 0.7561, loss_cls: 4.4314, loss: 4.4314 +2024-01-03 02:16:06,643 - pyskl - INFO - Epoch [130][2000/3746] lr: 4.524e-03, eta: 13:22:02, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.5058, top5_acc: 0.7528, loss_cls: 4.4601, loss: 4.4601 +2024-01-03 02:17:06,184 - pyskl - INFO - Epoch [130][2100/3746] lr: 4.512e-03, eta: 13:20:58, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.4956, top5_acc: 0.7491, loss_cls: 4.4738, loss: 4.4738 +2024-01-03 02:18:05,946 - pyskl - INFO - Epoch [130][2200/3746] lr: 4.500e-03, eta: 13:19:54, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4903, top5_acc: 0.7450, loss_cls: 4.5011, loss: 4.5011 +2024-01-03 02:19:05,084 - pyskl - INFO - Epoch [130][2300/3746] lr: 4.489e-03, eta: 13:18:50, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4950, top5_acc: 0.7502, loss_cls: 4.4843, loss: 4.4843 +2024-01-03 02:20:04,186 - pyskl - INFO - Epoch [130][2400/3746] lr: 4.477e-03, eta: 13:17:46, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.4992, top5_acc: 0.7553, loss_cls: 4.4615, loss: 4.4615 +2024-01-03 02:21:03,393 - pyskl - INFO - Epoch [130][2500/3746] lr: 4.466e-03, eta: 13:16:41, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4952, top5_acc: 0.7512, loss_cls: 4.4585, loss: 4.4585 +2024-01-03 02:22:02,343 - pyskl - INFO - Epoch [130][2600/3746] lr: 4.454e-03, eta: 13:15:37, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5028, top5_acc: 0.7470, loss_cls: 4.4671, loss: 4.4671 +2024-01-03 02:23:01,349 - pyskl - INFO - Epoch [130][2700/3746] lr: 4.443e-03, eta: 13:14:33, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5044, top5_acc: 0.7616, loss_cls: 4.4419, loss: 4.4419 +2024-01-03 02:24:00,491 - pyskl - INFO - Epoch [130][2800/3746] lr: 4.431e-03, eta: 13:13:29, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5050, top5_acc: 0.7569, loss_cls: 4.4266, loss: 4.4266 +2024-01-03 02:24:59,814 - pyskl - INFO - Epoch [130][2900/3746] lr: 4.420e-03, eta: 13:12:25, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.4953, top5_acc: 0.7531, loss_cls: 4.4696, loss: 4.4696 +2024-01-03 02:25:59,711 - pyskl - INFO - Epoch [130][3000/3746] lr: 4.408e-03, eta: 13:11:21, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.4970, top5_acc: 0.7448, loss_cls: 4.4892, loss: 4.4892 +2024-01-03 02:26:59,301 - pyskl - INFO - Epoch [130][3100/3746] lr: 4.397e-03, eta: 13:10:17, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5072, top5_acc: 0.7508, loss_cls: 4.4523, loss: 4.4523 +2024-01-03 02:27:58,685 - pyskl - INFO - Epoch [130][3200/3746] lr: 4.385e-03, eta: 13:09:13, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5088, top5_acc: 0.7539, loss_cls: 4.4439, loss: 4.4439 +2024-01-03 02:28:58,489 - pyskl - INFO - Epoch [130][3300/3746] lr: 4.374e-03, eta: 13:08:09, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.4944, top5_acc: 0.7461, loss_cls: 4.4992, loss: 4.4992 +2024-01-03 02:29:57,966 - pyskl - INFO - Epoch [130][3400/3746] lr: 4.362e-03, eta: 13:07:05, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5047, top5_acc: 0.7636, loss_cls: 4.4304, loss: 4.4304 +2024-01-03 02:30:56,720 - pyskl - INFO - Epoch [130][3500/3746] lr: 4.351e-03, eta: 13:06:01, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.4844, top5_acc: 0.7509, loss_cls: 4.4871, loss: 4.4871 +2024-01-03 02:31:56,096 - pyskl - INFO - Epoch [130][3600/3746] lr: 4.339e-03, eta: 13:04:57, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5003, top5_acc: 0.7570, loss_cls: 4.4530, loss: 4.4530 +2024-01-03 02:32:56,230 - pyskl - INFO - Epoch [130][3700/3746] lr: 4.328e-03, eta: 13:03:53, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.4936, top5_acc: 0.7525, loss_cls: 4.4831, loss: 4.4831 +2024-01-03 02:33:26,159 - pyskl - INFO - Saving checkpoint at 130 epochs +2024-01-03 02:35:21,135 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 02:35:22,039 - pyskl - INFO - +top1_acc 0.4187 +top5_acc 0.6767 +2024-01-03 02:35:22,039 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 02:35:22,088 - pyskl - INFO - +mean_acc 0.4185 +2024-01-03 02:35:22,097 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_129.pth was removed +2024-01-03 02:35:22,509 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2024-01-03 02:35:22,509 - pyskl - INFO - Best top1_acc is 0.4187 at 130 epoch. +2024-01-03 02:35:22,527 - pyskl - INFO - Epoch(val) [130][309] top1_acc: 0.4187, top5_acc: 0.6767, mean_class_accuracy: 0.4185 +2024-01-03 02:38:46,301 - pyskl - INFO - Epoch [131][100/3746] lr: 4.311e-03, eta: 13:03:04, time: 2.038, data_time: 1.438, memory: 16180, top1_acc: 0.5288, top5_acc: 0.7734, loss_cls: 4.3417, loss: 4.3417 +2024-01-03 02:39:45,514 - pyskl - INFO - Epoch [131][200/3746] lr: 4.300e-03, eta: 13:02:00, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5181, top5_acc: 0.7642, loss_cls: 4.3891, loss: 4.3891 +2024-01-03 02:40:44,774 - pyskl - INFO - Epoch [131][300/3746] lr: 4.289e-03, eta: 13:00:55, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5195, top5_acc: 0.7723, loss_cls: 4.3645, loss: 4.3645 +2024-01-03 02:41:44,023 - pyskl - INFO - Epoch [131][400/3746] lr: 4.277e-03, eta: 12:59:51, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5111, top5_acc: 0.7647, loss_cls: 4.3850, loss: 4.3850 +2024-01-03 02:42:43,244 - pyskl - INFO - Epoch [131][500/3746] lr: 4.266e-03, eta: 12:58:47, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5073, top5_acc: 0.7638, loss_cls: 4.4060, loss: 4.4060 +2024-01-03 02:43:42,130 - pyskl - INFO - Epoch [131][600/3746] lr: 4.255e-03, eta: 12:57:43, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5173, top5_acc: 0.7656, loss_cls: 4.4016, loss: 4.4016 +2024-01-03 02:44:41,027 - pyskl - INFO - Epoch [131][700/3746] lr: 4.244e-03, eta: 12:56:39, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5108, top5_acc: 0.7609, loss_cls: 4.3971, loss: 4.3971 +2024-01-03 02:45:40,035 - pyskl - INFO - Epoch [131][800/3746] lr: 4.232e-03, eta: 12:55:35, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5283, top5_acc: 0.7645, loss_cls: 4.3427, loss: 4.3427 +2024-01-03 02:46:39,045 - pyskl - INFO - Epoch [131][900/3746] lr: 4.221e-03, eta: 12:54:30, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5120, top5_acc: 0.7648, loss_cls: 4.4001, loss: 4.4001 +2024-01-03 02:47:38,135 - pyskl - INFO - Epoch [131][1000/3746] lr: 4.210e-03, eta: 12:53:26, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5147, top5_acc: 0.7625, loss_cls: 4.3801, loss: 4.3801 +2024-01-03 02:48:37,391 - pyskl - INFO - Epoch [131][1100/3746] lr: 4.199e-03, eta: 12:52:22, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5119, top5_acc: 0.7567, loss_cls: 4.4054, loss: 4.4054 +2024-01-03 02:49:36,704 - pyskl - INFO - Epoch [131][1200/3746] lr: 4.187e-03, eta: 12:51:18, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5153, top5_acc: 0.7627, loss_cls: 4.4028, loss: 4.4028 +2024-01-03 02:50:35,832 - pyskl - INFO - Epoch [131][1300/3746] lr: 4.176e-03, eta: 12:50:14, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5091, top5_acc: 0.7577, loss_cls: 4.4008, loss: 4.4008 +2024-01-03 02:51:35,004 - pyskl - INFO - Epoch [131][1400/3746] lr: 4.165e-03, eta: 12:49:10, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5070, top5_acc: 0.7567, loss_cls: 4.4325, loss: 4.4325 +2024-01-03 02:52:34,334 - pyskl - INFO - Epoch [131][1500/3746] lr: 4.154e-03, eta: 12:48:06, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5152, top5_acc: 0.7584, loss_cls: 4.4158, loss: 4.4158 +2024-01-03 02:53:33,603 - pyskl - INFO - Epoch [131][1600/3746] lr: 4.143e-03, eta: 12:47:02, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5008, top5_acc: 0.7581, loss_cls: 4.4446, loss: 4.4446 +2024-01-03 02:54:32,973 - pyskl - INFO - Epoch [131][1700/3746] lr: 4.132e-03, eta: 12:45:58, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.4986, top5_acc: 0.7588, loss_cls: 4.4333, loss: 4.4333 +2024-01-03 02:55:31,927 - pyskl - INFO - Epoch [131][1800/3746] lr: 4.120e-03, eta: 12:44:54, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5059, top5_acc: 0.7609, loss_cls: 4.4171, loss: 4.4171 +2024-01-03 02:56:30,788 - pyskl - INFO - Epoch [131][1900/3746] lr: 4.109e-03, eta: 12:43:49, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5106, top5_acc: 0.7630, loss_cls: 4.4235, loss: 4.4235 +2024-01-03 02:57:29,691 - pyskl - INFO - Epoch [131][2000/3746] lr: 4.098e-03, eta: 12:42:45, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5105, top5_acc: 0.7702, loss_cls: 4.3971, loss: 4.3971 +2024-01-03 02:58:29,061 - pyskl - INFO - Epoch [131][2100/3746] lr: 4.087e-03, eta: 12:41:41, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5083, top5_acc: 0.7639, loss_cls: 4.4060, loss: 4.4060 +2024-01-03 02:59:29,021 - pyskl - INFO - Epoch [131][2200/3746] lr: 4.076e-03, eta: 12:40:37, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.5238, top5_acc: 0.7689, loss_cls: 4.3648, loss: 4.3648 +2024-01-03 03:00:28,570 - pyskl - INFO - Epoch [131][2300/3746] lr: 4.065e-03, eta: 12:39:34, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5048, top5_acc: 0.7600, loss_cls: 4.4486, loss: 4.4486 +2024-01-03 03:01:27,902 - pyskl - INFO - Epoch [131][2400/3746] lr: 4.054e-03, eta: 12:38:30, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5034, top5_acc: 0.7605, loss_cls: 4.4247, loss: 4.4247 +2024-01-03 03:02:27,161 - pyskl - INFO - Epoch [131][2500/3746] lr: 4.043e-03, eta: 12:37:26, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5186, top5_acc: 0.7684, loss_cls: 4.3867, loss: 4.3867 +2024-01-03 03:03:26,482 - pyskl - INFO - Epoch [131][2600/3746] lr: 4.032e-03, eta: 12:36:22, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5148, top5_acc: 0.7631, loss_cls: 4.4145, loss: 4.4145 +2024-01-03 03:04:25,521 - pyskl - INFO - Epoch [131][2700/3746] lr: 4.021e-03, eta: 12:35:17, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5073, top5_acc: 0.7603, loss_cls: 4.4057, loss: 4.4057 +2024-01-03 03:05:24,532 - pyskl - INFO - Epoch [131][2800/3746] lr: 4.010e-03, eta: 12:34:13, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5084, top5_acc: 0.7577, loss_cls: 4.4129, loss: 4.4129 +2024-01-03 03:06:24,260 - pyskl - INFO - Epoch [131][2900/3746] lr: 3.999e-03, eta: 12:33:10, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.5075, top5_acc: 0.7531, loss_cls: 4.4569, loss: 4.4569 +2024-01-03 03:07:24,244 - pyskl - INFO - Epoch [131][3000/3746] lr: 3.988e-03, eta: 12:32:06, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.5083, top5_acc: 0.7647, loss_cls: 4.4058, loss: 4.4058 +2024-01-03 03:08:23,785 - pyskl - INFO - Epoch [131][3100/3746] lr: 3.977e-03, eta: 12:31:02, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5050, top5_acc: 0.7600, loss_cls: 4.4250, loss: 4.4250 +2024-01-03 03:09:22,849 - pyskl - INFO - Epoch [131][3200/3746] lr: 3.966e-03, eta: 12:29:58, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5112, top5_acc: 0.7600, loss_cls: 4.4217, loss: 4.4217 +2024-01-03 03:10:22,099 - pyskl - INFO - Epoch [131][3300/3746] lr: 3.955e-03, eta: 12:28:54, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5098, top5_acc: 0.7572, loss_cls: 4.4089, loss: 4.4089 +2024-01-03 03:11:21,024 - pyskl - INFO - Epoch [131][3400/3746] lr: 3.945e-03, eta: 12:27:50, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5069, top5_acc: 0.7538, loss_cls: 4.4467, loss: 4.4467 +2024-01-03 03:12:20,227 - pyskl - INFO - Epoch [131][3500/3746] lr: 3.934e-03, eta: 12:26:46, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.4991, top5_acc: 0.7538, loss_cls: 4.4658, loss: 4.4658 +2024-01-03 03:13:19,770 - pyskl - INFO - Epoch [131][3600/3746] lr: 3.923e-03, eta: 12:25:42, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5120, top5_acc: 0.7628, loss_cls: 4.4220, loss: 4.4220 +2024-01-03 03:14:19,611 - pyskl - INFO - Epoch [131][3700/3746] lr: 3.912e-03, eta: 12:24:38, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.5039, top5_acc: 0.7575, loss_cls: 4.4414, loss: 4.4414 +2024-01-03 03:14:49,253 - pyskl - INFO - Saving checkpoint at 131 epochs +2024-01-03 03:16:44,713 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 03:16:45,503 - pyskl - INFO - +top1_acc 0.4177 +top5_acc 0.6719 +2024-01-03 03:16:45,504 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 03:16:45,545 - pyskl - INFO - +mean_acc 0.4174 +2024-01-03 03:16:45,554 - pyskl - INFO - Epoch(val) [131][309] top1_acc: 0.4177, top5_acc: 0.6719, mean_class_accuracy: 0.4174 +2024-01-03 03:20:08,287 - pyskl - INFO - Epoch [132][100/3746] lr: 3.896e-03, eta: 12:23:46, time: 2.027, data_time: 1.430, memory: 16180, top1_acc: 0.5233, top5_acc: 0.7784, loss_cls: 4.3382, loss: 4.3382 +2024-01-03 03:21:07,883 - pyskl - INFO - Epoch [132][200/3746] lr: 3.885e-03, eta: 12:22:42, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5270, top5_acc: 0.7767, loss_cls: 4.3258, loss: 4.3258 +2024-01-03 03:22:07,222 - pyskl - INFO - Epoch [132][300/3746] lr: 3.875e-03, eta: 12:21:38, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5356, top5_acc: 0.7772, loss_cls: 4.2983, loss: 4.2983 +2024-01-03 03:23:06,590 - pyskl - INFO - Epoch [132][400/3746] lr: 3.864e-03, eta: 12:20:34, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5173, top5_acc: 0.7745, loss_cls: 4.3625, loss: 4.3625 +2024-01-03 03:24:05,922 - pyskl - INFO - Epoch [132][500/3746] lr: 3.853e-03, eta: 12:19:30, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5141, top5_acc: 0.7688, loss_cls: 4.3848, loss: 4.3848 +2024-01-03 03:25:04,979 - pyskl - INFO - Epoch [132][600/3746] lr: 3.842e-03, eta: 12:18:26, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5289, top5_acc: 0.7764, loss_cls: 4.3334, loss: 4.3334 +2024-01-03 03:26:04,288 - pyskl - INFO - Epoch [132][700/3746] lr: 3.831e-03, eta: 12:17:22, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5194, top5_acc: 0.7695, loss_cls: 4.3473, loss: 4.3473 +2024-01-03 03:27:03,458 - pyskl - INFO - Epoch [132][800/3746] lr: 3.821e-03, eta: 12:16:18, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5239, top5_acc: 0.7762, loss_cls: 4.3207, loss: 4.3207 +2024-01-03 03:28:02,546 - pyskl - INFO - Epoch [132][900/3746] lr: 3.810e-03, eta: 12:15:14, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5295, top5_acc: 0.7692, loss_cls: 4.3520, loss: 4.3520 +2024-01-03 03:29:02,169 - pyskl - INFO - Epoch [132][1000/3746] lr: 3.799e-03, eta: 12:14:10, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5098, top5_acc: 0.7695, loss_cls: 4.3815, loss: 4.3815 +2024-01-03 03:30:01,826 - pyskl - INFO - Epoch [132][1100/3746] lr: 3.789e-03, eta: 12:13:06, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.5195, top5_acc: 0.7689, loss_cls: 4.3526, loss: 4.3526 +2024-01-03 03:31:00,913 - pyskl - INFO - Epoch [132][1200/3746] lr: 3.778e-03, eta: 12:12:02, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5222, top5_acc: 0.7653, loss_cls: 4.3756, loss: 4.3756 +2024-01-03 03:32:00,152 - pyskl - INFO - Epoch [132][1300/3746] lr: 3.767e-03, eta: 12:10:58, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5186, top5_acc: 0.7647, loss_cls: 4.3978, loss: 4.3978 +2024-01-03 03:32:59,308 - pyskl - INFO - Epoch [132][1400/3746] lr: 3.757e-03, eta: 12:09:54, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5192, top5_acc: 0.7694, loss_cls: 4.3926, loss: 4.3926 +2024-01-03 03:33:58,365 - pyskl - INFO - Epoch [132][1500/3746] lr: 3.746e-03, eta: 12:08:50, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5231, top5_acc: 0.7833, loss_cls: 4.3238, loss: 4.3238 +2024-01-03 03:34:57,315 - pyskl - INFO - Epoch [132][1600/3746] lr: 3.735e-03, eta: 12:07:46, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5192, top5_acc: 0.7614, loss_cls: 4.3897, loss: 4.3897 +2024-01-03 03:35:56,453 - pyskl - INFO - Epoch [132][1700/3746] lr: 3.725e-03, eta: 12:06:42, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5178, top5_acc: 0.7720, loss_cls: 4.3660, loss: 4.3660 +2024-01-03 03:36:56,013 - pyskl - INFO - Epoch [132][1800/3746] lr: 3.714e-03, eta: 12:05:38, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5197, top5_acc: 0.7772, loss_cls: 4.3551, loss: 4.3551 +2024-01-03 03:37:55,012 - pyskl - INFO - Epoch [132][1900/3746] lr: 3.704e-03, eta: 12:04:34, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5247, top5_acc: 0.7764, loss_cls: 4.3415, loss: 4.3415 +2024-01-03 03:38:54,265 - pyskl - INFO - Epoch [132][2000/3746] lr: 3.693e-03, eta: 12:03:30, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5197, top5_acc: 0.7631, loss_cls: 4.3895, loss: 4.3895 +2024-01-03 03:39:53,639 - pyskl - INFO - Epoch [132][2100/3746] lr: 3.683e-03, eta: 12:02:26, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5206, top5_acc: 0.7723, loss_cls: 4.3426, loss: 4.3426 +2024-01-03 03:40:53,429 - pyskl - INFO - Epoch [132][2200/3746] lr: 3.672e-03, eta: 12:01:22, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.5055, top5_acc: 0.7628, loss_cls: 4.4015, loss: 4.4015 +2024-01-03 03:41:53,499 - pyskl - INFO - Epoch [132][2300/3746] lr: 3.662e-03, eta: 12:00:19, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.5078, top5_acc: 0.7605, loss_cls: 4.4220, loss: 4.4220 +2024-01-03 03:42:52,772 - pyskl - INFO - Epoch [132][2400/3746] lr: 3.651e-03, eta: 11:59:15, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5117, top5_acc: 0.7688, loss_cls: 4.3723, loss: 4.3723 +2024-01-03 03:43:52,234 - pyskl - INFO - Epoch [132][2500/3746] lr: 3.641e-03, eta: 11:58:11, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5142, top5_acc: 0.7570, loss_cls: 4.4032, loss: 4.4032 +2024-01-03 03:44:51,396 - pyskl - INFO - Epoch [132][2600/3746] lr: 3.630e-03, eta: 11:57:07, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5122, top5_acc: 0.7745, loss_cls: 4.3775, loss: 4.3775 +2024-01-03 03:45:50,230 - pyskl - INFO - Epoch [132][2700/3746] lr: 3.620e-03, eta: 11:56:03, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.5116, top5_acc: 0.7586, loss_cls: 4.4137, loss: 4.4137 +2024-01-03 03:46:49,352 - pyskl - INFO - Epoch [132][2800/3746] lr: 3.609e-03, eta: 11:54:59, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5083, top5_acc: 0.7608, loss_cls: 4.4210, loss: 4.4210 +2024-01-03 03:47:48,621 - pyskl - INFO - Epoch [132][2900/3746] lr: 3.599e-03, eta: 11:53:55, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5152, top5_acc: 0.7661, loss_cls: 4.3963, loss: 4.3963 +2024-01-03 03:48:48,673 - pyskl - INFO - Epoch [132][3000/3746] lr: 3.588e-03, eta: 11:52:51, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.5202, top5_acc: 0.7630, loss_cls: 4.3976, loss: 4.3976 +2024-01-03 03:49:47,953 - pyskl - INFO - Epoch [132][3100/3746] lr: 3.578e-03, eta: 11:51:47, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5081, top5_acc: 0.7633, loss_cls: 4.4066, loss: 4.4066 +2024-01-03 03:50:47,132 - pyskl - INFO - Epoch [132][3200/3746] lr: 3.568e-03, eta: 11:50:44, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5112, top5_acc: 0.7614, loss_cls: 4.3974, loss: 4.3974 +2024-01-03 03:51:46,587 - pyskl - INFO - Epoch [132][3300/3746] lr: 3.557e-03, eta: 11:49:40, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5117, top5_acc: 0.7595, loss_cls: 4.4092, loss: 4.4092 +2024-01-03 03:52:45,385 - pyskl - INFO - Epoch [132][3400/3746] lr: 3.547e-03, eta: 11:48:36, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.5170, top5_acc: 0.7683, loss_cls: 4.3878, loss: 4.3878 +2024-01-03 03:53:44,368 - pyskl - INFO - Epoch [132][3500/3746] lr: 3.537e-03, eta: 11:47:32, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.4952, top5_acc: 0.7636, loss_cls: 4.4354, loss: 4.4354 +2024-01-03 03:54:44,277 - pyskl - INFO - Epoch [132][3600/3746] lr: 3.526e-03, eta: 11:46:28, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.5142, top5_acc: 0.7717, loss_cls: 4.3685, loss: 4.3685 +2024-01-03 03:55:44,736 - pyskl - INFO - Epoch [132][3700/3746] lr: 3.516e-03, eta: 11:45:25, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.5225, top5_acc: 0.7678, loss_cls: 4.3840, loss: 4.3840 +2024-01-03 03:56:14,335 - pyskl - INFO - Saving checkpoint at 132 epochs +2024-01-03 03:58:09,899 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 03:58:10,709 - pyskl - INFO - +top1_acc 0.4227 +top5_acc 0.6806 +2024-01-03 03:58:10,709 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 03:58:10,742 - pyskl - INFO - +mean_acc 0.4225 +2024-01-03 03:58:10,747 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_130.pth was removed +2024-01-03 03:58:11,025 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. +2024-01-03 03:58:11,025 - pyskl - INFO - Best top1_acc is 0.4227 at 132 epoch. +2024-01-03 03:58:11,033 - pyskl - INFO - Epoch(val) [132][309] top1_acc: 0.4227, top5_acc: 0.6806, mean_class_accuracy: 0.4225 +2024-01-03 04:01:30,630 - pyskl - INFO - Epoch [133][100/3746] lr: 3.501e-03, eta: 11:44:28, time: 1.996, data_time: 1.400, memory: 16180, top1_acc: 0.5397, top5_acc: 0.7881, loss_cls: 4.2793, loss: 4.2793 +2024-01-03 04:02:30,412 - pyskl - INFO - Epoch [133][200/3746] lr: 3.491e-03, eta: 11:43:25, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.5212, top5_acc: 0.7709, loss_cls: 4.3628, loss: 4.3628 +2024-01-03 04:03:29,906 - pyskl - INFO - Epoch [133][300/3746] lr: 3.480e-03, eta: 11:42:21, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5320, top5_acc: 0.7792, loss_cls: 4.2988, loss: 4.2988 +2024-01-03 04:04:29,604 - pyskl - INFO - Epoch [133][400/3746] lr: 3.470e-03, eta: 11:41:17, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.5395, top5_acc: 0.7878, loss_cls: 4.2826, loss: 4.2826 +2024-01-03 04:05:28,454 - pyskl - INFO - Epoch [133][500/3746] lr: 3.460e-03, eta: 11:40:13, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.5211, top5_acc: 0.7753, loss_cls: 4.3360, loss: 4.3360 +2024-01-03 04:06:27,629 - pyskl - INFO - Epoch [133][600/3746] lr: 3.450e-03, eta: 11:39:09, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5302, top5_acc: 0.7759, loss_cls: 4.3274, loss: 4.3274 +2024-01-03 04:07:26,656 - pyskl - INFO - Epoch [133][700/3746] lr: 3.440e-03, eta: 11:38:05, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5375, top5_acc: 0.7827, loss_cls: 4.2933, loss: 4.2933 +2024-01-03 04:08:25,753 - pyskl - INFO - Epoch [133][800/3746] lr: 3.429e-03, eta: 11:37:01, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5327, top5_acc: 0.7716, loss_cls: 4.3438, loss: 4.3438 +2024-01-03 04:09:24,700 - pyskl - INFO - Epoch [133][900/3746] lr: 3.419e-03, eta: 11:35:57, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5384, top5_acc: 0.7859, loss_cls: 4.2944, loss: 4.2944 +2024-01-03 04:10:23,610 - pyskl - INFO - Epoch [133][1000/3746] lr: 3.409e-03, eta: 11:34:53, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5295, top5_acc: 0.7759, loss_cls: 4.3199, loss: 4.3199 +2024-01-03 04:11:22,953 - pyskl - INFO - Epoch [133][1100/3746] lr: 3.399e-03, eta: 11:33:49, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5200, top5_acc: 0.7738, loss_cls: 4.3450, loss: 4.3450 +2024-01-03 04:12:21,845 - pyskl - INFO - Epoch [133][1200/3746] lr: 3.389e-03, eta: 11:32:45, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5327, top5_acc: 0.7803, loss_cls: 4.3002, loss: 4.3002 +2024-01-03 04:13:21,115 - pyskl - INFO - Epoch [133][1300/3746] lr: 3.379e-03, eta: 11:31:41, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5314, top5_acc: 0.7769, loss_cls: 4.2966, loss: 4.2966 +2024-01-03 04:14:20,208 - pyskl - INFO - Epoch [133][1400/3746] lr: 3.369e-03, eta: 11:30:37, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5289, top5_acc: 0.7762, loss_cls: 4.3259, loss: 4.3259 +2024-01-03 04:15:19,727 - pyskl - INFO - Epoch [133][1500/3746] lr: 3.359e-03, eta: 11:29:34, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5291, top5_acc: 0.7831, loss_cls: 4.3194, loss: 4.3194 +2024-01-03 04:16:18,985 - pyskl - INFO - Epoch [133][1600/3746] lr: 3.348e-03, eta: 11:28:30, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5192, top5_acc: 0.7758, loss_cls: 4.3373, loss: 4.3373 +2024-01-03 04:17:18,007 - pyskl - INFO - Epoch [133][1700/3746] lr: 3.338e-03, eta: 11:27:26, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5183, top5_acc: 0.7695, loss_cls: 4.3772, loss: 4.3772 +2024-01-03 04:18:17,108 - pyskl - INFO - Epoch [133][1800/3746] lr: 3.328e-03, eta: 11:26:22, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5364, top5_acc: 0.7812, loss_cls: 4.3160, loss: 4.3160 +2024-01-03 04:19:16,544 - pyskl - INFO - Epoch [133][1900/3746] lr: 3.318e-03, eta: 11:25:18, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5306, top5_acc: 0.7772, loss_cls: 4.3081, loss: 4.3081 +2024-01-03 04:20:15,521 - pyskl - INFO - Epoch [133][2000/3746] lr: 3.308e-03, eta: 11:24:14, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5238, top5_acc: 0.7822, loss_cls: 4.3110, loss: 4.3110 +2024-01-03 04:21:14,599 - pyskl - INFO - Epoch [133][2100/3746] lr: 3.298e-03, eta: 11:23:10, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5356, top5_acc: 0.7842, loss_cls: 4.3048, loss: 4.3048 +2024-01-03 04:22:13,914 - pyskl - INFO - Epoch [133][2200/3746] lr: 3.288e-03, eta: 11:22:06, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5208, top5_acc: 0.7688, loss_cls: 4.3802, loss: 4.3802 +2024-01-03 04:23:13,438 - pyskl - INFO - Epoch [133][2300/3746] lr: 3.278e-03, eta: 11:21:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5130, top5_acc: 0.7675, loss_cls: 4.3939, loss: 4.3939 +2024-01-03 04:24:12,835 - pyskl - INFO - Epoch [133][2400/3746] lr: 3.268e-03, eta: 11:19:59, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5186, top5_acc: 0.7680, loss_cls: 4.3813, loss: 4.3813 +2024-01-03 04:25:11,900 - pyskl - INFO - Epoch [133][2500/3746] lr: 3.259e-03, eta: 11:18:55, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5164, top5_acc: 0.7744, loss_cls: 4.3702, loss: 4.3702 +2024-01-03 04:26:11,036 - pyskl - INFO - Epoch [133][2600/3746] lr: 3.249e-03, eta: 11:17:51, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5248, top5_acc: 0.7755, loss_cls: 4.3482, loss: 4.3482 +2024-01-03 04:27:09,918 - pyskl - INFO - Epoch [133][2700/3746] lr: 3.239e-03, eta: 11:16:47, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5256, top5_acc: 0.7650, loss_cls: 4.3356, loss: 4.3356 +2024-01-03 04:28:09,395 - pyskl - INFO - Epoch [133][2800/3746] lr: 3.229e-03, eta: 11:15:43, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5308, top5_acc: 0.7792, loss_cls: 4.3161, loss: 4.3161 +2024-01-03 04:29:09,357 - pyskl - INFO - Epoch [133][2900/3746] lr: 3.219e-03, eta: 11:14:40, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.5236, top5_acc: 0.7700, loss_cls: 4.3661, loss: 4.3661 +2024-01-03 04:30:09,395 - pyskl - INFO - Epoch [133][3000/3746] lr: 3.209e-03, eta: 11:13:36, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.5267, top5_acc: 0.7728, loss_cls: 4.3486, loss: 4.3486 +2024-01-03 04:31:08,770 - pyskl - INFO - Epoch [133][3100/3746] lr: 3.199e-03, eta: 11:12:33, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5238, top5_acc: 0.7767, loss_cls: 4.3123, loss: 4.3123 +2024-01-03 04:32:07,863 - pyskl - INFO - Epoch [133][3200/3746] lr: 3.189e-03, eta: 11:11:29, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5147, top5_acc: 0.7616, loss_cls: 4.3909, loss: 4.3909 +2024-01-03 04:33:07,007 - pyskl - INFO - Epoch [133][3300/3746] lr: 3.180e-03, eta: 11:10:25, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5241, top5_acc: 0.7652, loss_cls: 4.3549, loss: 4.3549 +2024-01-03 04:34:05,909 - pyskl - INFO - Epoch [133][3400/3746] lr: 3.170e-03, eta: 11:09:21, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5223, top5_acc: 0.7716, loss_cls: 4.3427, loss: 4.3427 +2024-01-03 04:35:05,151 - pyskl - INFO - Epoch [133][3500/3746] lr: 3.160e-03, eta: 11:08:17, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5202, top5_acc: 0.7667, loss_cls: 4.3592, loss: 4.3592 +2024-01-03 04:36:05,101 - pyskl - INFO - Epoch [133][3600/3746] lr: 3.150e-03, eta: 11:07:14, time: 0.599, data_time: 0.001, memory: 16180, top1_acc: 0.5105, top5_acc: 0.7561, loss_cls: 4.4145, loss: 4.4145 +2024-01-03 04:37:05,120 - pyskl - INFO - Epoch [133][3700/3746] lr: 3.140e-03, eta: 11:06:10, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.5250, top5_acc: 0.7666, loss_cls: 4.3736, loss: 4.3736 +2024-01-03 04:37:34,701 - pyskl - INFO - Saving checkpoint at 133 epochs +2024-01-03 04:39:30,242 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 04:39:31,059 - pyskl - INFO - +top1_acc 0.4311 +top5_acc 0.6842 +2024-01-03 04:39:31,059 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 04:39:31,134 - pyskl - INFO - +mean_acc 0.4308 +2024-01-03 04:39:31,142 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_132.pth was removed +2024-01-03 04:39:31,411 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2024-01-03 04:39:31,412 - pyskl - INFO - Best top1_acc is 0.4311 at 133 epoch. +2024-01-03 04:39:31,421 - pyskl - INFO - Epoch(val) [133][309] top1_acc: 0.4311, top5_acc: 0.6842, mean_class_accuracy: 0.4308 +2024-01-03 04:42:51,468 - pyskl - INFO - Epoch [134][100/3746] lr: 3.126e-03, eta: 11:05:11, time: 2.000, data_time: 1.400, memory: 16180, top1_acc: 0.5492, top5_acc: 0.7950, loss_cls: 4.2307, loss: 4.2307 +2024-01-03 04:43:51,260 - pyskl - INFO - Epoch [134][200/3746] lr: 3.117e-03, eta: 11:04:08, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.5352, top5_acc: 0.7817, loss_cls: 4.2895, loss: 4.2895 +2024-01-03 04:44:51,251 - pyskl - INFO - Epoch [134][300/3746] lr: 3.107e-03, eta: 11:03:04, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.5563, top5_acc: 0.7970, loss_cls: 4.2033, loss: 4.2033 +2024-01-03 04:45:50,885 - pyskl - INFO - Epoch [134][400/3746] lr: 3.097e-03, eta: 11:02:00, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5380, top5_acc: 0.7875, loss_cls: 4.2625, loss: 4.2625 +2024-01-03 04:46:50,120 - pyskl - INFO - Epoch [134][500/3746] lr: 3.087e-03, eta: 11:00:57, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5286, top5_acc: 0.7845, loss_cls: 4.3028, loss: 4.3028 +2024-01-03 04:47:49,311 - pyskl - INFO - Epoch [134][600/3746] lr: 3.078e-03, eta: 10:59:53, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5383, top5_acc: 0.7892, loss_cls: 4.2617, loss: 4.2617 +2024-01-03 04:48:48,369 - pyskl - INFO - Epoch [134][700/3746] lr: 3.068e-03, eta: 10:58:49, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5363, top5_acc: 0.7761, loss_cls: 4.3105, loss: 4.3105 +2024-01-03 04:49:47,760 - pyskl - INFO - Epoch [134][800/3746] lr: 3.059e-03, eta: 10:57:45, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5406, top5_acc: 0.7831, loss_cls: 4.2565, loss: 4.2565 +2024-01-03 04:50:46,975 - pyskl - INFO - Epoch [134][900/3746] lr: 3.049e-03, eta: 10:56:41, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5342, top5_acc: 0.7836, loss_cls: 4.2759, loss: 4.2759 +2024-01-03 04:51:46,175 - pyskl - INFO - Epoch [134][1000/3746] lr: 3.039e-03, eta: 10:55:37, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5363, top5_acc: 0.7881, loss_cls: 4.2679, loss: 4.2679 +2024-01-03 04:52:45,405 - pyskl - INFO - Epoch [134][1100/3746] lr: 3.030e-03, eta: 10:54:34, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5344, top5_acc: 0.7797, loss_cls: 4.3024, loss: 4.3024 +2024-01-03 04:53:44,698 - pyskl - INFO - Epoch [134][1200/3746] lr: 3.020e-03, eta: 10:53:30, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5356, top5_acc: 0.7858, loss_cls: 4.2530, loss: 4.2530 +2024-01-03 04:54:43,847 - pyskl - INFO - Epoch [134][1300/3746] lr: 3.011e-03, eta: 10:52:26, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5437, top5_acc: 0.7847, loss_cls: 4.2575, loss: 4.2575 +2024-01-03 04:55:42,868 - pyskl - INFO - Epoch [134][1400/3746] lr: 3.001e-03, eta: 10:51:22, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5353, top5_acc: 0.7814, loss_cls: 4.2891, loss: 4.2891 +2024-01-03 04:56:42,132 - pyskl - INFO - Epoch [134][1500/3746] lr: 2.991e-03, eta: 10:50:18, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5372, top5_acc: 0.7769, loss_cls: 4.2997, loss: 4.2997 +2024-01-03 04:57:41,133 - pyskl - INFO - Epoch [134][1600/3746] lr: 2.982e-03, eta: 10:49:14, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5280, top5_acc: 0.7767, loss_cls: 4.3059, loss: 4.3059 +2024-01-03 04:58:40,119 - pyskl - INFO - Epoch [134][1700/3746] lr: 2.972e-03, eta: 10:48:11, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5348, top5_acc: 0.7828, loss_cls: 4.2925, loss: 4.2925 +2024-01-03 04:59:39,160 - pyskl - INFO - Epoch [134][1800/3746] lr: 2.963e-03, eta: 10:47:07, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5312, top5_acc: 0.7834, loss_cls: 4.2999, loss: 4.2999 +2024-01-03 05:00:38,556 - pyskl - INFO - Epoch [134][1900/3746] lr: 2.953e-03, eta: 10:46:03, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5370, top5_acc: 0.7769, loss_cls: 4.3255, loss: 4.3255 +2024-01-03 05:01:37,718 - pyskl - INFO - Epoch [134][2000/3746] lr: 2.944e-03, eta: 10:44:59, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5262, top5_acc: 0.7780, loss_cls: 4.3144, loss: 4.3144 +2024-01-03 05:02:36,977 - pyskl - INFO - Epoch [134][2100/3746] lr: 2.935e-03, eta: 10:43:56, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5383, top5_acc: 0.7791, loss_cls: 4.2795, loss: 4.2795 +2024-01-03 05:03:36,781 - pyskl - INFO - Epoch [134][2200/3746] lr: 2.925e-03, eta: 10:42:52, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.5337, top5_acc: 0.7825, loss_cls: 4.3079, loss: 4.3079 +2024-01-03 05:04:36,334 - pyskl - INFO - Epoch [134][2300/3746] lr: 2.916e-03, eta: 10:41:48, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5248, top5_acc: 0.7658, loss_cls: 4.3479, loss: 4.3479 +2024-01-03 05:05:35,719 - pyskl - INFO - Epoch [134][2400/3746] lr: 2.906e-03, eta: 10:40:45, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5273, top5_acc: 0.7789, loss_cls: 4.3200, loss: 4.3200 +2024-01-03 05:06:35,202 - pyskl - INFO - Epoch [134][2500/3746] lr: 2.897e-03, eta: 10:39:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5248, top5_acc: 0.7795, loss_cls: 4.3277, loss: 4.3277 +2024-01-03 05:07:34,875 - pyskl - INFO - Epoch [134][2600/3746] lr: 2.888e-03, eta: 10:38:37, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.5347, top5_acc: 0.7694, loss_cls: 4.3279, loss: 4.3279 +2024-01-03 05:08:33,755 - pyskl - INFO - Epoch [134][2700/3746] lr: 2.878e-03, eta: 10:37:33, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5369, top5_acc: 0.7812, loss_cls: 4.2851, loss: 4.2851 +2024-01-03 05:09:33,265 - pyskl - INFO - Epoch [134][2800/3746] lr: 2.869e-03, eta: 10:36:30, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5278, top5_acc: 0.7778, loss_cls: 4.3142, loss: 4.3142 +2024-01-03 05:10:33,402 - pyskl - INFO - Epoch [134][2900/3746] lr: 2.860e-03, eta: 10:35:26, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.5255, top5_acc: 0.7753, loss_cls: 4.3239, loss: 4.3239 +2024-01-03 05:11:32,417 - pyskl - INFO - Epoch [134][3000/3746] lr: 2.850e-03, eta: 10:34:23, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5319, top5_acc: 0.7783, loss_cls: 4.3237, loss: 4.3237 +2024-01-03 05:12:31,711 - pyskl - INFO - Epoch [134][3100/3746] lr: 2.841e-03, eta: 10:33:19, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5238, top5_acc: 0.7839, loss_cls: 4.3062, loss: 4.3062 +2024-01-03 05:13:31,411 - pyskl - INFO - Epoch [134][3200/3746] lr: 2.832e-03, eta: 10:32:15, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.5223, top5_acc: 0.7766, loss_cls: 4.3314, loss: 4.3314 +2024-01-03 05:14:30,443 - pyskl - INFO - Epoch [134][3300/3746] lr: 2.822e-03, eta: 10:31:12, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5277, top5_acc: 0.7742, loss_cls: 4.3419, loss: 4.3419 +2024-01-03 05:15:29,601 - pyskl - INFO - Epoch [134][3400/3746] lr: 2.813e-03, eta: 10:30:08, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5467, top5_acc: 0.7858, loss_cls: 4.2771, loss: 4.2771 +2024-01-03 05:16:28,728 - pyskl - INFO - Epoch [134][3500/3746] lr: 2.804e-03, eta: 10:29:04, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5167, top5_acc: 0.7652, loss_cls: 4.3857, loss: 4.3857 +2024-01-03 05:17:28,120 - pyskl - INFO - Epoch [134][3600/3746] lr: 2.795e-03, eta: 10:28:00, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5191, top5_acc: 0.7733, loss_cls: 4.3489, loss: 4.3489 +2024-01-03 05:18:27,718 - pyskl - INFO - Epoch [134][3700/3746] lr: 2.786e-03, eta: 10:26:57, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5278, top5_acc: 0.7700, loss_cls: 4.3330, loss: 4.3330 +2024-01-03 05:18:57,332 - pyskl - INFO - Saving checkpoint at 134 epochs +2024-01-03 05:20:50,466 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 05:20:51,544 - pyskl - INFO - +top1_acc 0.4279 +top5_acc 0.6872 +2024-01-03 05:20:51,544 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 05:20:51,587 - pyskl - INFO - +mean_acc 0.4276 +2024-01-03 05:20:51,598 - pyskl - INFO - Epoch(val) [134][309] top1_acc: 0.4279, top5_acc: 0.6872, mean_class_accuracy: 0.4276 +2024-01-03 05:24:11,483 - pyskl - INFO - Epoch [135][100/3746] lr: 2.772e-03, eta: 10:25:56, time: 1.999, data_time: 1.404, memory: 16180, top1_acc: 0.5547, top5_acc: 0.7955, loss_cls: 4.2058, loss: 4.2058 +2024-01-03 05:25:11,367 - pyskl - INFO - Epoch [135][200/3746] lr: 2.763e-03, eta: 10:24:52, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.5522, top5_acc: 0.7914, loss_cls: 4.2170, loss: 4.2170 +2024-01-03 05:26:10,653 - pyskl - INFO - Epoch [135][300/3746] lr: 2.754e-03, eta: 10:23:48, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5508, top5_acc: 0.7964, loss_cls: 4.1945, loss: 4.1945 +2024-01-03 05:27:10,236 - pyskl - INFO - Epoch [135][400/3746] lr: 2.745e-03, eta: 10:22:45, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5397, top5_acc: 0.7939, loss_cls: 4.2336, loss: 4.2336 +2024-01-03 05:28:09,513 - pyskl - INFO - Epoch [135][500/3746] lr: 2.735e-03, eta: 10:21:41, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5550, top5_acc: 0.7930, loss_cls: 4.2089, loss: 4.2089 +2024-01-03 05:29:08,910 - pyskl - INFO - Epoch [135][600/3746] lr: 2.726e-03, eta: 10:20:37, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5325, top5_acc: 0.7900, loss_cls: 4.2617, loss: 4.2617 +2024-01-03 05:30:08,258 - pyskl - INFO - Epoch [135][700/3746] lr: 2.717e-03, eta: 10:19:34, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5466, top5_acc: 0.7964, loss_cls: 4.2407, loss: 4.2407 +2024-01-03 05:31:07,519 - pyskl - INFO - Epoch [135][800/3746] lr: 2.708e-03, eta: 10:18:30, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5464, top5_acc: 0.7945, loss_cls: 4.2337, loss: 4.2337 +2024-01-03 05:32:07,057 - pyskl - INFO - Epoch [135][900/3746] lr: 2.699e-03, eta: 10:17:26, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5444, top5_acc: 0.7919, loss_cls: 4.2331, loss: 4.2331 +2024-01-03 05:33:06,097 - pyskl - INFO - Epoch [135][1000/3746] lr: 2.690e-03, eta: 10:16:22, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5494, top5_acc: 0.7956, loss_cls: 4.2051, loss: 4.2051 +2024-01-03 05:34:05,023 - pyskl - INFO - Epoch [135][1100/3746] lr: 2.681e-03, eta: 10:15:19, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5466, top5_acc: 0.8002, loss_cls: 4.2017, loss: 4.2017 +2024-01-03 05:35:04,106 - pyskl - INFO - Epoch [135][1200/3746] lr: 2.672e-03, eta: 10:14:15, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5502, top5_acc: 0.7825, loss_cls: 4.2451, loss: 4.2451 +2024-01-03 05:36:03,341 - pyskl - INFO - Epoch [135][1300/3746] lr: 2.663e-03, eta: 10:13:11, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5430, top5_acc: 0.7844, loss_cls: 4.2735, loss: 4.2735 +2024-01-03 05:37:02,523 - pyskl - INFO - Epoch [135][1400/3746] lr: 2.654e-03, eta: 10:12:07, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5431, top5_acc: 0.7911, loss_cls: 4.2438, loss: 4.2438 +2024-01-03 05:38:01,611 - pyskl - INFO - Epoch [135][1500/3746] lr: 2.645e-03, eta: 10:11:04, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5433, top5_acc: 0.7847, loss_cls: 4.2683, loss: 4.2683 +2024-01-03 05:39:00,648 - pyskl - INFO - Epoch [135][1600/3746] lr: 2.636e-03, eta: 10:10:00, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5414, top5_acc: 0.7848, loss_cls: 4.2653, loss: 4.2653 +2024-01-03 05:39:59,550 - pyskl - INFO - Epoch [135][1700/3746] lr: 2.627e-03, eta: 10:08:56, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5414, top5_acc: 0.7898, loss_cls: 4.2563, loss: 4.2563 +2024-01-03 05:40:58,311 - pyskl - INFO - Epoch [135][1800/3746] lr: 2.618e-03, eta: 10:07:52, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.5480, top5_acc: 0.7877, loss_cls: 4.2585, loss: 4.2585 +2024-01-03 05:41:57,129 - pyskl - INFO - Epoch [135][1900/3746] lr: 2.609e-03, eta: 10:06:49, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.5369, top5_acc: 0.7819, loss_cls: 4.2919, loss: 4.2919 +2024-01-03 05:42:56,043 - pyskl - INFO - Epoch [135][2000/3746] lr: 2.600e-03, eta: 10:05:45, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5409, top5_acc: 0.7845, loss_cls: 4.2758, loss: 4.2758 +2024-01-03 05:43:55,170 - pyskl - INFO - Epoch [135][2100/3746] lr: 2.591e-03, eta: 10:04:41, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5369, top5_acc: 0.7811, loss_cls: 4.2966, loss: 4.2966 +2024-01-03 05:44:54,770 - pyskl - INFO - Epoch [135][2200/3746] lr: 2.583e-03, eta: 10:03:37, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5308, top5_acc: 0.7722, loss_cls: 4.3345, loss: 4.3345 +2024-01-03 05:45:54,614 - pyskl - INFO - Epoch [135][2300/3746] lr: 2.574e-03, eta: 10:02:34, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.5372, top5_acc: 0.7880, loss_cls: 4.2910, loss: 4.2910 +2024-01-03 05:46:54,071 - pyskl - INFO - Epoch [135][2400/3746] lr: 2.565e-03, eta: 10:01:30, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5291, top5_acc: 0.7869, loss_cls: 4.2930, loss: 4.2930 +2024-01-03 05:47:53,627 - pyskl - INFO - Epoch [135][2500/3746] lr: 2.556e-03, eta: 10:00:27, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5514, top5_acc: 0.7919, loss_cls: 4.2453, loss: 4.2453 +2024-01-03 05:48:53,151 - pyskl - INFO - Epoch [135][2600/3746] lr: 2.547e-03, eta: 9:59:23, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5441, top5_acc: 0.7859, loss_cls: 4.2602, loss: 4.2602 +2024-01-03 05:49:52,399 - pyskl - INFO - Epoch [135][2700/3746] lr: 2.538e-03, eta: 9:58:20, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5391, top5_acc: 0.7870, loss_cls: 4.2564, loss: 4.2564 +2024-01-03 05:50:51,666 - pyskl - INFO - Epoch [135][2800/3746] lr: 2.530e-03, eta: 9:57:16, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5436, top5_acc: 0.7955, loss_cls: 4.2427, loss: 4.2427 +2024-01-03 05:51:51,752 - pyskl - INFO - Epoch [135][2900/3746] lr: 2.521e-03, eta: 9:56:13, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.5416, top5_acc: 0.7909, loss_cls: 4.2518, loss: 4.2518 +2024-01-03 05:52:50,838 - pyskl - INFO - Epoch [135][3000/3746] lr: 2.512e-03, eta: 9:55:09, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5394, top5_acc: 0.7816, loss_cls: 4.2774, loss: 4.2774 +2024-01-03 05:53:50,022 - pyskl - INFO - Epoch [135][3100/3746] lr: 2.503e-03, eta: 9:54:05, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5392, top5_acc: 0.7884, loss_cls: 4.2648, loss: 4.2648 +2024-01-03 05:54:49,295 - pyskl - INFO - Epoch [135][3200/3746] lr: 2.495e-03, eta: 9:53:02, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5298, top5_acc: 0.7864, loss_cls: 4.3021, loss: 4.3021 +2024-01-03 05:55:48,430 - pyskl - INFO - Epoch [135][3300/3746] lr: 2.486e-03, eta: 9:51:58, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5452, top5_acc: 0.7842, loss_cls: 4.2634, loss: 4.2634 +2024-01-03 05:56:47,612 - pyskl - INFO - Epoch [135][3400/3746] lr: 2.477e-03, eta: 9:50:54, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5444, top5_acc: 0.7903, loss_cls: 4.2501, loss: 4.2501 +2024-01-03 05:57:46,726 - pyskl - INFO - Epoch [135][3500/3746] lr: 2.469e-03, eta: 9:49:51, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5267, top5_acc: 0.7784, loss_cls: 4.3067, loss: 4.3067 +2024-01-03 05:58:46,595 - pyskl - INFO - Epoch [135][3600/3746] lr: 2.460e-03, eta: 9:48:47, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.5352, top5_acc: 0.7773, loss_cls: 4.3007, loss: 4.3007 +2024-01-03 05:59:46,532 - pyskl - INFO - Epoch [135][3700/3746] lr: 2.451e-03, eta: 9:47:44, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.5284, top5_acc: 0.7761, loss_cls: 4.3158, loss: 4.3158 +2024-01-03 06:00:16,355 - pyskl - INFO - Saving checkpoint at 135 epochs +2024-01-03 06:02:10,243 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 06:02:11,023 - pyskl - INFO - +top1_acc 0.4349 +top5_acc 0.6929 +2024-01-03 06:02:11,023 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 06:02:11,064 - pyskl - INFO - +mean_acc 0.4348 +2024-01-03 06:02:11,071 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_133.pth was removed +2024-01-03 06:02:11,324 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2024-01-03 06:02:11,325 - pyskl - INFO - Best top1_acc is 0.4349 at 135 epoch. +2024-01-03 06:02:11,335 - pyskl - INFO - Epoch(val) [135][309] top1_acc: 0.4349, top5_acc: 0.6929, mean_class_accuracy: 0.4348 +2024-01-03 06:05:30,979 - pyskl - INFO - Epoch [136][100/3746] lr: 2.439e-03, eta: 9:46:40, time: 1.996, data_time: 1.395, memory: 16180, top1_acc: 0.5581, top5_acc: 0.8037, loss_cls: 4.1727, loss: 4.1727 +2024-01-03 06:06:30,398 - pyskl - INFO - Epoch [136][200/3746] lr: 2.430e-03, eta: 9:45:37, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5542, top5_acc: 0.8000, loss_cls: 4.1970, loss: 4.1970 +2024-01-03 06:07:29,833 - pyskl - INFO - Epoch [136][300/3746] lr: 2.421e-03, eta: 9:44:33, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5637, top5_acc: 0.8100, loss_cls: 4.1435, loss: 4.1435 +2024-01-03 06:08:29,189 - pyskl - INFO - Epoch [136][400/3746] lr: 2.413e-03, eta: 9:43:29, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5592, top5_acc: 0.8003, loss_cls: 4.1980, loss: 4.1980 +2024-01-03 06:09:28,359 - pyskl - INFO - Epoch [136][500/3746] lr: 2.404e-03, eta: 9:42:26, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5636, top5_acc: 0.8011, loss_cls: 4.1847, loss: 4.1847 +2024-01-03 06:10:27,224 - pyskl - INFO - Epoch [136][600/3746] lr: 2.396e-03, eta: 9:41:22, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5453, top5_acc: 0.8022, loss_cls: 4.2200, loss: 4.2200 +2024-01-03 06:11:26,284 - pyskl - INFO - Epoch [136][700/3746] lr: 2.387e-03, eta: 9:40:18, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5556, top5_acc: 0.8019, loss_cls: 4.1814, loss: 4.1814 +2024-01-03 06:12:25,353 - pyskl - INFO - Epoch [136][800/3746] lr: 2.379e-03, eta: 9:39:15, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5478, top5_acc: 0.8028, loss_cls: 4.2052, loss: 4.2052 +2024-01-03 06:13:24,717 - pyskl - INFO - Epoch [136][900/3746] lr: 2.370e-03, eta: 9:38:11, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5483, top5_acc: 0.7909, loss_cls: 4.2272, loss: 4.2272 +2024-01-03 06:14:23,761 - pyskl - INFO - Epoch [136][1000/3746] lr: 2.362e-03, eta: 9:37:07, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5555, top5_acc: 0.8034, loss_cls: 4.1769, loss: 4.1769 +2024-01-03 06:15:22,907 - pyskl - INFO - Epoch [136][1100/3746] lr: 2.353e-03, eta: 9:36:04, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5583, top5_acc: 0.7972, loss_cls: 4.1941, loss: 4.1941 +2024-01-03 06:16:21,833 - pyskl - INFO - Epoch [136][1200/3746] lr: 2.345e-03, eta: 9:35:00, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5519, top5_acc: 0.7941, loss_cls: 4.2017, loss: 4.2017 +2024-01-03 06:17:21,019 - pyskl - INFO - Epoch [136][1300/3746] lr: 2.336e-03, eta: 9:33:56, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5498, top5_acc: 0.7973, loss_cls: 4.1898, loss: 4.1898 +2024-01-03 06:18:20,274 - pyskl - INFO - Epoch [136][1400/3746] lr: 2.328e-03, eta: 9:32:53, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5494, top5_acc: 0.7939, loss_cls: 4.2302, loss: 4.2302 +2024-01-03 06:19:19,376 - pyskl - INFO - Epoch [136][1500/3746] lr: 2.319e-03, eta: 9:31:49, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5469, top5_acc: 0.7895, loss_cls: 4.2150, loss: 4.2150 +2024-01-03 06:20:18,009 - pyskl - INFO - Epoch [136][1600/3746] lr: 2.311e-03, eta: 9:30:45, time: 0.586, data_time: 0.000, memory: 16180, top1_acc: 0.5464, top5_acc: 0.7925, loss_cls: 4.2224, loss: 4.2224 +2024-01-03 06:21:17,081 - pyskl - INFO - Epoch [136][1700/3746] lr: 2.303e-03, eta: 9:29:42, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5477, top5_acc: 0.7936, loss_cls: 4.2087, loss: 4.2087 +2024-01-03 06:22:16,439 - pyskl - INFO - Epoch [136][1800/3746] lr: 2.294e-03, eta: 9:28:38, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5530, top5_acc: 0.7972, loss_cls: 4.2056, loss: 4.2056 +2024-01-03 06:23:15,458 - pyskl - INFO - Epoch [136][1900/3746] lr: 2.286e-03, eta: 9:27:34, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5483, top5_acc: 0.7966, loss_cls: 4.2085, loss: 4.2085 +2024-01-03 06:24:14,532 - pyskl - INFO - Epoch [136][2000/3746] lr: 2.277e-03, eta: 9:26:31, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5469, top5_acc: 0.7967, loss_cls: 4.2106, loss: 4.2106 +2024-01-03 06:25:13,567 - pyskl - INFO - Epoch [136][2100/3746] lr: 2.269e-03, eta: 9:25:27, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5358, top5_acc: 0.7913, loss_cls: 4.2581, loss: 4.2581 +2024-01-03 06:26:12,648 - pyskl - INFO - Epoch [136][2200/3746] lr: 2.261e-03, eta: 9:24:23, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5478, top5_acc: 0.7872, loss_cls: 4.2459, loss: 4.2459 +2024-01-03 06:27:12,150 - pyskl - INFO - Epoch [136][2300/3746] lr: 2.253e-03, eta: 9:23:20, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5469, top5_acc: 0.7975, loss_cls: 4.2243, loss: 4.2243 +2024-01-03 06:28:12,212 - pyskl - INFO - Epoch [136][2400/3746] lr: 2.244e-03, eta: 9:22:17, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.5428, top5_acc: 0.7834, loss_cls: 4.2550, loss: 4.2550 +2024-01-03 06:29:11,553 - pyskl - INFO - Epoch [136][2500/3746] lr: 2.236e-03, eta: 9:21:13, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5420, top5_acc: 0.7891, loss_cls: 4.2423, loss: 4.2423 +2024-01-03 06:30:10,752 - pyskl - INFO - Epoch [136][2600/3746] lr: 2.228e-03, eta: 9:20:09, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5416, top5_acc: 0.7931, loss_cls: 4.2476, loss: 4.2476 +2024-01-03 06:31:10,044 - pyskl - INFO - Epoch [136][2700/3746] lr: 2.219e-03, eta: 9:19:06, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5394, top5_acc: 0.7920, loss_cls: 4.2611, loss: 4.2611 +2024-01-03 06:32:09,480 - pyskl - INFO - Epoch [136][2800/3746] lr: 2.211e-03, eta: 9:18:02, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5581, top5_acc: 0.7894, loss_cls: 4.2221, loss: 4.2221 +2024-01-03 06:33:09,611 - pyskl - INFO - Epoch [136][2900/3746] lr: 2.203e-03, eta: 9:16:59, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.5466, top5_acc: 0.7905, loss_cls: 4.2426, loss: 4.2426 +2024-01-03 06:34:08,715 - pyskl - INFO - Epoch [136][3000/3746] lr: 2.195e-03, eta: 9:15:55, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5339, top5_acc: 0.7791, loss_cls: 4.3027, loss: 4.3027 +2024-01-03 06:35:07,977 - pyskl - INFO - Epoch [136][3100/3746] lr: 2.187e-03, eta: 9:14:52, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5502, top5_acc: 0.7897, loss_cls: 4.2463, loss: 4.2463 +2024-01-03 06:36:07,484 - pyskl - INFO - Epoch [136][3200/3746] lr: 2.178e-03, eta: 9:13:48, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5509, top5_acc: 0.7897, loss_cls: 4.2150, loss: 4.2150 +2024-01-03 06:37:06,644 - pyskl - INFO - Epoch [136][3300/3746] lr: 2.170e-03, eta: 9:12:45, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5553, top5_acc: 0.7952, loss_cls: 4.1985, loss: 4.1985 +2024-01-03 06:38:05,644 - pyskl - INFO - Epoch [136][3400/3746] lr: 2.162e-03, eta: 9:11:41, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5425, top5_acc: 0.7895, loss_cls: 4.2528, loss: 4.2528 +2024-01-03 06:39:04,854 - pyskl - INFO - Epoch [136][3500/3746] lr: 2.154e-03, eta: 9:10:38, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5608, top5_acc: 0.7908, loss_cls: 4.2005, loss: 4.2005 +2024-01-03 06:40:04,400 - pyskl - INFO - Epoch [136][3600/3746] lr: 2.146e-03, eta: 9:09:34, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5386, top5_acc: 0.7841, loss_cls: 4.2869, loss: 4.2869 +2024-01-03 06:41:04,573 - pyskl - INFO - Epoch [136][3700/3746] lr: 2.138e-03, eta: 9:08:31, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.5536, top5_acc: 0.7927, loss_cls: 4.2192, loss: 4.2192 +2024-01-03 06:41:34,592 - pyskl - INFO - Saving checkpoint at 136 epochs +2024-01-03 06:43:29,157 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 06:43:30,232 - pyskl - INFO - +top1_acc 0.4367 +top5_acc 0.6903 +2024-01-03 06:43:30,232 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 06:43:30,274 - pyskl - INFO - +mean_acc 0.4364 +2024-01-03 06:43:30,280 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_135.pth was removed +2024-01-03 06:43:30,852 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. +2024-01-03 06:43:30,853 - pyskl - INFO - Best top1_acc is 0.4367 at 136 epoch. +2024-01-03 06:43:30,864 - pyskl - INFO - Epoch(val) [136][309] top1_acc: 0.4367, top5_acc: 0.6903, mean_class_accuracy: 0.4364 +2024-01-03 06:46:51,194 - pyskl - INFO - Epoch [137][100/3746] lr: 2.126e-03, eta: 9:07:25, time: 2.003, data_time: 1.403, memory: 16180, top1_acc: 0.5866, top5_acc: 0.8094, loss_cls: 4.0835, loss: 4.0835 +2024-01-03 06:47:51,339 - pyskl - INFO - Epoch [137][200/3746] lr: 2.118e-03, eta: 9:06:22, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.5878, top5_acc: 0.8192, loss_cls: 4.0706, loss: 4.0706 +2024-01-03 06:48:51,296 - pyskl - INFO - Epoch [137][300/3746] lr: 2.110e-03, eta: 9:05:18, time: 0.600, data_time: 0.001, memory: 16180, top1_acc: 0.5622, top5_acc: 0.8050, loss_cls: 4.1786, loss: 4.1786 +2024-01-03 06:49:50,917 - pyskl - INFO - Epoch [137][400/3746] lr: 2.102e-03, eta: 9:04:15, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5613, top5_acc: 0.8075, loss_cls: 4.1584, loss: 4.1584 +2024-01-03 06:50:50,778 - pyskl - INFO - Epoch [137][500/3746] lr: 2.094e-03, eta: 9:03:12, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.5695, top5_acc: 0.7980, loss_cls: 4.1885, loss: 4.1885 +2024-01-03 06:51:49,888 - pyskl - INFO - Epoch [137][600/3746] lr: 2.086e-03, eta: 9:02:08, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5631, top5_acc: 0.8067, loss_cls: 4.1652, loss: 4.1652 +2024-01-03 06:52:49,026 - pyskl - INFO - Epoch [137][700/3746] lr: 2.078e-03, eta: 9:01:04, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5711, top5_acc: 0.8105, loss_cls: 4.1267, loss: 4.1267 +2024-01-03 06:53:47,966 - pyskl - INFO - Epoch [137][800/3746] lr: 2.070e-03, eta: 9:00:01, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5678, top5_acc: 0.8072, loss_cls: 4.1493, loss: 4.1493 +2024-01-03 06:54:46,960 - pyskl - INFO - Epoch [137][900/3746] lr: 2.062e-03, eta: 8:58:57, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5637, top5_acc: 0.8073, loss_cls: 4.1470, loss: 4.1470 +2024-01-03 06:55:46,085 - pyskl - INFO - Epoch [137][1000/3746] lr: 2.054e-03, eta: 8:57:54, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5677, top5_acc: 0.7997, loss_cls: 4.1589, loss: 4.1589 +2024-01-03 06:56:45,083 - pyskl - INFO - Epoch [137][1100/3746] lr: 2.046e-03, eta: 8:56:50, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5508, top5_acc: 0.8011, loss_cls: 4.1861, loss: 4.1861 +2024-01-03 06:57:44,055 - pyskl - INFO - Epoch [137][1200/3746] lr: 2.038e-03, eta: 8:55:46, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5708, top5_acc: 0.8092, loss_cls: 4.1373, loss: 4.1373 +2024-01-03 06:58:43,179 - pyskl - INFO - Epoch [137][1300/3746] lr: 2.030e-03, eta: 8:54:43, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5583, top5_acc: 0.7978, loss_cls: 4.2119, loss: 4.2119 +2024-01-03 06:59:42,522 - pyskl - INFO - Epoch [137][1400/3746] lr: 2.022e-03, eta: 8:53:39, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5611, top5_acc: 0.8028, loss_cls: 4.1886, loss: 4.1886 +2024-01-03 07:00:41,431 - pyskl - INFO - Epoch [137][1500/3746] lr: 2.015e-03, eta: 8:52:36, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5563, top5_acc: 0.8008, loss_cls: 4.2022, loss: 4.2022 +2024-01-03 07:01:40,473 - pyskl - INFO - Epoch [137][1600/3746] lr: 2.007e-03, eta: 8:51:32, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5525, top5_acc: 0.8041, loss_cls: 4.1951, loss: 4.1951 +2024-01-03 07:02:39,760 - pyskl - INFO - Epoch [137][1700/3746] lr: 1.999e-03, eta: 8:50:29, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5617, top5_acc: 0.8033, loss_cls: 4.1775, loss: 4.1775 +2024-01-03 07:03:39,212 - pyskl - INFO - Epoch [137][1800/3746] lr: 1.991e-03, eta: 8:49:25, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5637, top5_acc: 0.8022, loss_cls: 4.1565, loss: 4.1565 +2024-01-03 07:04:38,453 - pyskl - INFO - Epoch [137][1900/3746] lr: 1.983e-03, eta: 8:48:22, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5503, top5_acc: 0.7950, loss_cls: 4.2150, loss: 4.2150 +2024-01-03 07:05:37,346 - pyskl - INFO - Epoch [137][2000/3746] lr: 1.976e-03, eta: 8:47:18, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5533, top5_acc: 0.7911, loss_cls: 4.2263, loss: 4.2263 +2024-01-03 07:06:36,454 - pyskl - INFO - Epoch [137][2100/3746] lr: 1.968e-03, eta: 8:46:14, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5592, top5_acc: 0.7970, loss_cls: 4.1937, loss: 4.1937 +2024-01-03 07:07:35,502 - pyskl - INFO - Epoch [137][2200/3746] lr: 1.960e-03, eta: 8:45:11, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5570, top5_acc: 0.8047, loss_cls: 4.1715, loss: 4.1715 +2024-01-03 07:08:34,880 - pyskl - INFO - Epoch [137][2300/3746] lr: 1.952e-03, eta: 8:44:07, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5552, top5_acc: 0.8023, loss_cls: 4.1879, loss: 4.1879 +2024-01-03 07:09:35,303 - pyskl - INFO - Epoch [137][2400/3746] lr: 1.944e-03, eta: 8:43:04, time: 0.604, data_time: 0.001, memory: 16180, top1_acc: 0.5509, top5_acc: 0.7977, loss_cls: 4.1847, loss: 4.1847 +2024-01-03 07:10:34,504 - pyskl - INFO - Epoch [137][2500/3746] lr: 1.937e-03, eta: 8:42:01, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5563, top5_acc: 0.7944, loss_cls: 4.1899, loss: 4.1899 +2024-01-03 07:11:33,408 - pyskl - INFO - Epoch [137][2600/3746] lr: 1.929e-03, eta: 8:40:57, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5625, top5_acc: 0.8119, loss_cls: 4.1340, loss: 4.1340 +2024-01-03 07:12:32,544 - pyskl - INFO - Epoch [137][2700/3746] lr: 1.921e-03, eta: 8:39:54, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5569, top5_acc: 0.8006, loss_cls: 4.1834, loss: 4.1834 +2024-01-03 07:13:32,417 - pyskl - INFO - Epoch [137][2800/3746] lr: 1.914e-03, eta: 8:38:50, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.5505, top5_acc: 0.7933, loss_cls: 4.2226, loss: 4.2226 +2024-01-03 07:14:32,368 - pyskl - INFO - Epoch [137][2900/3746] lr: 1.906e-03, eta: 8:37:47, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.5509, top5_acc: 0.7984, loss_cls: 4.2070, loss: 4.2070 +2024-01-03 07:15:31,507 - pyskl - INFO - Epoch [137][3000/3746] lr: 1.898e-03, eta: 8:36:44, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5569, top5_acc: 0.7970, loss_cls: 4.2131, loss: 4.2131 +2024-01-03 07:16:30,578 - pyskl - INFO - Epoch [137][3100/3746] lr: 1.891e-03, eta: 8:35:40, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5622, top5_acc: 0.8073, loss_cls: 4.1678, loss: 4.1678 +2024-01-03 07:17:29,667 - pyskl - INFO - Epoch [137][3200/3746] lr: 1.883e-03, eta: 8:34:37, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5544, top5_acc: 0.7958, loss_cls: 4.2194, loss: 4.2194 +2024-01-03 07:18:28,727 - pyskl - INFO - Epoch [137][3300/3746] lr: 1.876e-03, eta: 8:33:33, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5427, top5_acc: 0.8014, loss_cls: 4.2130, loss: 4.2130 +2024-01-03 07:19:27,721 - pyskl - INFO - Epoch [137][3400/3746] lr: 1.868e-03, eta: 8:32:30, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5575, top5_acc: 0.7947, loss_cls: 4.2034, loss: 4.2034 +2024-01-03 07:20:26,520 - pyskl - INFO - Epoch [137][3500/3746] lr: 1.860e-03, eta: 8:31:26, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.5631, top5_acc: 0.7995, loss_cls: 4.1846, loss: 4.1846 +2024-01-03 07:21:26,710 - pyskl - INFO - Epoch [137][3600/3746] lr: 1.853e-03, eta: 8:30:23, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.5592, top5_acc: 0.7989, loss_cls: 4.1972, loss: 4.1972 +2024-01-03 07:22:26,745 - pyskl - INFO - Epoch [137][3700/3746] lr: 1.845e-03, eta: 8:29:19, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.5516, top5_acc: 0.8006, loss_cls: 4.1842, loss: 4.1842 +2024-01-03 07:22:56,354 - pyskl - INFO - Saving checkpoint at 137 epochs +2024-01-03 07:24:52,396 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 07:24:53,170 - pyskl - INFO - +top1_acc 0.4436 +top5_acc 0.6955 +2024-01-03 07:24:53,171 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 07:24:53,208 - pyskl - INFO - +mean_acc 0.4433 +2024-01-03 07:24:53,213 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_136.pth was removed +2024-01-03 07:24:53,451 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. +2024-01-03 07:24:53,451 - pyskl - INFO - Best top1_acc is 0.4436 at 137 epoch. +2024-01-03 07:24:53,464 - pyskl - INFO - Epoch(val) [137][309] top1_acc: 0.4436, top5_acc: 0.6955, mean_class_accuracy: 0.4433 +2024-01-03 07:28:16,876 - pyskl - INFO - Epoch [138][100/3746] lr: 1.834e-03, eta: 8:28:12, time: 2.034, data_time: 1.427, memory: 16180, top1_acc: 0.5856, top5_acc: 0.8117, loss_cls: 4.0922, loss: 4.0922 +2024-01-03 07:29:17,132 - pyskl - INFO - Epoch [138][200/3746] lr: 1.827e-03, eta: 8:27:09, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.5709, top5_acc: 0.8155, loss_cls: 4.1076, loss: 4.1076 +2024-01-03 07:30:16,928 - pyskl - INFO - Epoch [138][300/3746] lr: 1.819e-03, eta: 8:26:05, time: 0.598, data_time: 0.001, memory: 16180, top1_acc: 0.5837, top5_acc: 0.8200, loss_cls: 4.0830, loss: 4.0830 +2024-01-03 07:31:17,072 - pyskl - INFO - Epoch [138][400/3746] lr: 1.812e-03, eta: 8:25:02, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.5786, top5_acc: 0.8098, loss_cls: 4.1088, loss: 4.1088 +2024-01-03 07:32:16,412 - pyskl - INFO - Epoch [138][500/3746] lr: 1.805e-03, eta: 8:23:59, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5802, top5_acc: 0.8155, loss_cls: 4.1051, loss: 4.1051 +2024-01-03 07:33:15,802 - pyskl - INFO - Epoch [138][600/3746] lr: 1.797e-03, eta: 8:22:55, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5673, top5_acc: 0.8120, loss_cls: 4.1242, loss: 4.1242 +2024-01-03 07:34:14,755 - pyskl - INFO - Epoch [138][700/3746] lr: 1.790e-03, eta: 8:21:52, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5772, top5_acc: 0.8117, loss_cls: 4.0913, loss: 4.0913 +2024-01-03 07:35:13,830 - pyskl - INFO - Epoch [138][800/3746] lr: 1.782e-03, eta: 8:20:48, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5794, top5_acc: 0.8175, loss_cls: 4.0859, loss: 4.0859 +2024-01-03 07:36:12,952 - pyskl - INFO - Epoch [138][900/3746] lr: 1.775e-03, eta: 8:19:45, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5753, top5_acc: 0.8128, loss_cls: 4.0964, loss: 4.0964 +2024-01-03 07:37:12,216 - pyskl - INFO - Epoch [138][1000/3746] lr: 1.768e-03, eta: 8:18:41, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5672, top5_acc: 0.8125, loss_cls: 4.1056, loss: 4.1056 +2024-01-03 07:38:11,087 - pyskl - INFO - Epoch [138][1100/3746] lr: 1.760e-03, eta: 8:17:38, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5873, top5_acc: 0.8217, loss_cls: 4.0608, loss: 4.0608 +2024-01-03 07:39:10,262 - pyskl - INFO - Epoch [138][1200/3746] lr: 1.753e-03, eta: 8:16:34, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5639, top5_acc: 0.8073, loss_cls: 4.1503, loss: 4.1503 +2024-01-03 07:40:09,354 - pyskl - INFO - Epoch [138][1300/3746] lr: 1.745e-03, eta: 8:15:31, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5709, top5_acc: 0.8108, loss_cls: 4.1252, loss: 4.1252 +2024-01-03 07:41:08,247 - pyskl - INFO - Epoch [138][1400/3746] lr: 1.738e-03, eta: 8:14:27, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5703, top5_acc: 0.8056, loss_cls: 4.1300, loss: 4.1300 +2024-01-03 07:42:07,307 - pyskl - INFO - Epoch [138][1500/3746] lr: 1.731e-03, eta: 8:13:24, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5625, top5_acc: 0.7986, loss_cls: 4.1769, loss: 4.1769 +2024-01-03 07:43:06,431 - pyskl - INFO - Epoch [138][1600/3746] lr: 1.724e-03, eta: 8:12:20, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5797, top5_acc: 0.8139, loss_cls: 4.1109, loss: 4.1109 +2024-01-03 07:44:05,394 - pyskl - INFO - Epoch [138][1700/3746] lr: 1.716e-03, eta: 8:11:17, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5578, top5_acc: 0.8008, loss_cls: 4.1778, loss: 4.1778 +2024-01-03 07:45:04,669 - pyskl - INFO - Epoch [138][1800/3746] lr: 1.709e-03, eta: 8:10:13, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5780, top5_acc: 0.8023, loss_cls: 4.1407, loss: 4.1407 +2024-01-03 07:46:03,926 - pyskl - INFO - Epoch [138][1900/3746] lr: 1.702e-03, eta: 8:09:10, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5673, top5_acc: 0.8072, loss_cls: 4.1342, loss: 4.1342 +2024-01-03 07:47:03,052 - pyskl - INFO - Epoch [138][2000/3746] lr: 1.695e-03, eta: 8:08:06, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5736, top5_acc: 0.8148, loss_cls: 4.1248, loss: 4.1248 +2024-01-03 07:48:02,219 - pyskl - INFO - Epoch [138][2100/3746] lr: 1.687e-03, eta: 8:07:03, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5611, top5_acc: 0.8059, loss_cls: 4.1549, loss: 4.1549 +2024-01-03 07:49:01,489 - pyskl - INFO - Epoch [138][2200/3746] lr: 1.680e-03, eta: 8:05:59, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5817, top5_acc: 0.8097, loss_cls: 4.1287, loss: 4.1287 +2024-01-03 07:50:00,443 - pyskl - INFO - Epoch [138][2300/3746] lr: 1.673e-03, eta: 8:04:56, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5614, top5_acc: 0.8061, loss_cls: 4.1581, loss: 4.1581 +2024-01-03 07:51:00,212 - pyskl - INFO - Epoch [138][2400/3746] lr: 1.666e-03, eta: 8:03:53, time: 0.598, data_time: 0.001, memory: 16180, top1_acc: 0.5595, top5_acc: 0.8042, loss_cls: 4.1721, loss: 4.1721 +2024-01-03 07:52:00,268 - pyskl - INFO - Epoch [138][2500/3746] lr: 1.659e-03, eta: 8:02:49, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.5719, top5_acc: 0.8128, loss_cls: 4.1226, loss: 4.1226 +2024-01-03 07:52:59,476 - pyskl - INFO - Epoch [138][2600/3746] lr: 1.652e-03, eta: 8:01:46, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5752, top5_acc: 0.8148, loss_cls: 4.1044, loss: 4.1044 +2024-01-03 07:53:58,887 - pyskl - INFO - Epoch [138][2700/3746] lr: 1.644e-03, eta: 8:00:43, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5661, top5_acc: 0.8048, loss_cls: 4.1553, loss: 4.1553 +2024-01-03 07:54:58,786 - pyskl - INFO - Epoch [138][2800/3746] lr: 1.637e-03, eta: 7:59:39, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.5681, top5_acc: 0.8025, loss_cls: 4.1690, loss: 4.1690 +2024-01-03 07:55:58,319 - pyskl - INFO - Epoch [138][2900/3746] lr: 1.630e-03, eta: 7:58:36, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5625, top5_acc: 0.8130, loss_cls: 4.1314, loss: 4.1314 +2024-01-03 07:56:57,313 - pyskl - INFO - Epoch [138][3000/3746] lr: 1.623e-03, eta: 7:57:33, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5513, top5_acc: 0.7977, loss_cls: 4.1982, loss: 4.1982 +2024-01-03 07:57:56,662 - pyskl - INFO - Epoch [138][3100/3746] lr: 1.616e-03, eta: 7:56:29, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5780, top5_acc: 0.8144, loss_cls: 4.0832, loss: 4.0832 +2024-01-03 07:58:55,709 - pyskl - INFO - Epoch [138][3200/3746] lr: 1.609e-03, eta: 7:55:26, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5683, top5_acc: 0.8045, loss_cls: 4.1378, loss: 4.1378 +2024-01-03 07:59:55,120 - pyskl - INFO - Epoch [138][3300/3746] lr: 1.602e-03, eta: 7:54:22, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5545, top5_acc: 0.8020, loss_cls: 4.1743, loss: 4.1743 +2024-01-03 08:00:54,253 - pyskl - INFO - Epoch [138][3400/3746] lr: 1.595e-03, eta: 7:53:19, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5603, top5_acc: 0.8030, loss_cls: 4.1769, loss: 4.1769 +2024-01-03 08:01:53,215 - pyskl - INFO - Epoch [138][3500/3746] lr: 1.588e-03, eta: 7:52:16, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5702, top5_acc: 0.8080, loss_cls: 4.1448, loss: 4.1448 +2024-01-03 08:02:53,015 - pyskl - INFO - Epoch [138][3600/3746] lr: 1.581e-03, eta: 7:51:12, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.5591, top5_acc: 0.7989, loss_cls: 4.1781, loss: 4.1781 +2024-01-03 08:03:52,926 - pyskl - INFO - Epoch [138][3700/3746] lr: 1.574e-03, eta: 7:50:09, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.5675, top5_acc: 0.8080, loss_cls: 4.1310, loss: 4.1310 +2024-01-03 08:04:22,271 - pyskl - INFO - Saving checkpoint at 138 epochs +2024-01-03 08:06:17,622 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 08:06:18,596 - pyskl - INFO - +top1_acc 0.4434 +top5_acc 0.6994 +2024-01-03 08:06:18,597 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 08:06:18,629 - pyskl - INFO - +mean_acc 0.4433 +2024-01-03 08:06:18,639 - pyskl - INFO - Epoch(val) [138][309] top1_acc: 0.4434, top5_acc: 0.6994, mean_class_accuracy: 0.4433 +2024-01-03 08:09:42,873 - pyskl - INFO - Epoch [139][100/3746] lr: 1.564e-03, eta: 7:49:00, time: 2.042, data_time: 1.435, memory: 16180, top1_acc: 0.5911, top5_acc: 0.8192, loss_cls: 4.0398, loss: 4.0398 +2024-01-03 08:10:42,134 - pyskl - INFO - Epoch [139][200/3746] lr: 1.557e-03, eta: 7:47:56, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5813, top5_acc: 0.8139, loss_cls: 4.0875, loss: 4.0875 +2024-01-03 08:11:41,294 - pyskl - INFO - Epoch [139][300/3746] lr: 1.550e-03, eta: 7:46:53, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5927, top5_acc: 0.8198, loss_cls: 4.0247, loss: 4.0247 +2024-01-03 08:12:40,792 - pyskl - INFO - Epoch [139][400/3746] lr: 1.543e-03, eta: 7:45:49, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5844, top5_acc: 0.8269, loss_cls: 4.0570, loss: 4.0570 +2024-01-03 08:13:39,794 - pyskl - INFO - Epoch [139][500/3746] lr: 1.536e-03, eta: 7:44:46, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5828, top5_acc: 0.8167, loss_cls: 4.0823, loss: 4.0823 +2024-01-03 08:14:38,839 - pyskl - INFO - Epoch [139][600/3746] lr: 1.529e-03, eta: 7:43:43, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5986, top5_acc: 0.8316, loss_cls: 3.9972, loss: 3.9972 +2024-01-03 08:15:37,852 - pyskl - INFO - Epoch [139][700/3746] lr: 1.523e-03, eta: 7:42:39, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5684, top5_acc: 0.8166, loss_cls: 4.0955, loss: 4.0955 +2024-01-03 08:16:36,693 - pyskl - INFO - Epoch [139][800/3746] lr: 1.516e-03, eta: 7:41:36, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.5919, top5_acc: 0.8191, loss_cls: 4.0560, loss: 4.0560 +2024-01-03 08:17:35,797 - pyskl - INFO - Epoch [139][900/3746] lr: 1.509e-03, eta: 7:40:32, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5894, top5_acc: 0.8252, loss_cls: 4.0660, loss: 4.0660 +2024-01-03 08:18:34,754 - pyskl - INFO - Epoch [139][1000/3746] lr: 1.502e-03, eta: 7:39:29, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5717, top5_acc: 0.8187, loss_cls: 4.0850, loss: 4.0850 +2024-01-03 08:19:33,819 - pyskl - INFO - Epoch [139][1100/3746] lr: 1.495e-03, eta: 7:38:25, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5861, top5_acc: 0.8208, loss_cls: 4.0677, loss: 4.0677 +2024-01-03 08:20:32,988 - pyskl - INFO - Epoch [139][1200/3746] lr: 1.489e-03, eta: 7:37:22, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5759, top5_acc: 0.8161, loss_cls: 4.0858, loss: 4.0858 +2024-01-03 08:21:32,039 - pyskl - INFO - Epoch [139][1300/3746] lr: 1.482e-03, eta: 7:36:18, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5880, top5_acc: 0.8184, loss_cls: 4.0835, loss: 4.0835 +2024-01-03 08:22:31,281 - pyskl - INFO - Epoch [139][1400/3746] lr: 1.475e-03, eta: 7:35:15, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5881, top5_acc: 0.8155, loss_cls: 4.0721, loss: 4.0721 +2024-01-03 08:23:30,102 - pyskl - INFO - Epoch [139][1500/3746] lr: 1.468e-03, eta: 7:34:12, time: 0.588, data_time: 0.000, memory: 16180, top1_acc: 0.5783, top5_acc: 0.8144, loss_cls: 4.1081, loss: 4.1081 +2024-01-03 08:24:29,355 - pyskl - INFO - Epoch [139][1600/3746] lr: 1.462e-03, eta: 7:33:08, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5809, top5_acc: 0.8255, loss_cls: 4.0753, loss: 4.0753 +2024-01-03 08:25:28,432 - pyskl - INFO - Epoch [139][1700/3746] lr: 1.455e-03, eta: 7:32:05, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5717, top5_acc: 0.8128, loss_cls: 4.1074, loss: 4.1074 +2024-01-03 08:26:27,450 - pyskl - INFO - Epoch [139][1800/3746] lr: 1.448e-03, eta: 7:31:01, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5733, top5_acc: 0.8091, loss_cls: 4.1391, loss: 4.1391 +2024-01-03 08:27:26,758 - pyskl - INFO - Epoch [139][1900/3746] lr: 1.442e-03, eta: 7:29:58, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5770, top5_acc: 0.8175, loss_cls: 4.0905, loss: 4.0905 +2024-01-03 08:28:25,871 - pyskl - INFO - Epoch [139][2000/3746] lr: 1.435e-03, eta: 7:28:55, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5748, top5_acc: 0.8269, loss_cls: 4.0761, loss: 4.0761 +2024-01-03 08:29:24,921 - pyskl - INFO - Epoch [139][2100/3746] lr: 1.428e-03, eta: 7:27:51, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5789, top5_acc: 0.8227, loss_cls: 4.0836, loss: 4.0836 +2024-01-03 08:30:24,048 - pyskl - INFO - Epoch [139][2200/3746] lr: 1.422e-03, eta: 7:26:48, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5728, top5_acc: 0.8055, loss_cls: 4.1272, loss: 4.1272 +2024-01-03 08:31:23,172 - pyskl - INFO - Epoch [139][2300/3746] lr: 1.415e-03, eta: 7:25:45, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5761, top5_acc: 0.8108, loss_cls: 4.0919, loss: 4.0919 +2024-01-03 08:32:22,710 - pyskl - INFO - Epoch [139][2400/3746] lr: 1.408e-03, eta: 7:24:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5758, top5_acc: 0.8141, loss_cls: 4.0943, loss: 4.0943 +2024-01-03 08:33:22,978 - pyskl - INFO - Epoch [139][2500/3746] lr: 1.402e-03, eta: 7:23:38, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.5852, top5_acc: 0.8222, loss_cls: 4.0550, loss: 4.0550 +2024-01-03 08:34:22,322 - pyskl - INFO - Epoch [139][2600/3746] lr: 1.395e-03, eta: 7:22:35, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5772, top5_acc: 0.8147, loss_cls: 4.0996, loss: 4.0996 +2024-01-03 08:35:21,730 - pyskl - INFO - Epoch [139][2700/3746] lr: 1.389e-03, eta: 7:21:32, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5795, top5_acc: 0.8144, loss_cls: 4.1139, loss: 4.1139 +2024-01-03 08:36:21,319 - pyskl - INFO - Epoch [139][2800/3746] lr: 1.382e-03, eta: 7:20:28, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5806, top5_acc: 0.8130, loss_cls: 4.0910, loss: 4.0910 +2024-01-03 08:37:20,296 - pyskl - INFO - Epoch [139][2900/3746] lr: 1.376e-03, eta: 7:19:25, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5716, top5_acc: 0.8108, loss_cls: 4.1122, loss: 4.1122 +2024-01-03 08:38:19,766 - pyskl - INFO - Epoch [139][3000/3746] lr: 1.369e-03, eta: 7:18:22, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5802, top5_acc: 0.8155, loss_cls: 4.0704, loss: 4.0704 +2024-01-03 08:39:19,408 - pyskl - INFO - Epoch [139][3100/3746] lr: 1.363e-03, eta: 7:17:18, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5773, top5_acc: 0.8092, loss_cls: 4.1163, loss: 4.1163 +2024-01-03 08:40:18,328 - pyskl - INFO - Epoch [139][3200/3746] lr: 1.356e-03, eta: 7:16:15, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5869, top5_acc: 0.8141, loss_cls: 4.0954, loss: 4.0954 +2024-01-03 08:41:17,612 - pyskl - INFO - Epoch [139][3300/3746] lr: 1.350e-03, eta: 7:15:12, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5745, top5_acc: 0.8092, loss_cls: 4.1308, loss: 4.1308 +2024-01-03 08:42:16,747 - pyskl - INFO - Epoch [139][3400/3746] lr: 1.343e-03, eta: 7:14:08, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5748, top5_acc: 0.8164, loss_cls: 4.1012, loss: 4.1012 +2024-01-03 08:43:16,209 - pyskl - INFO - Epoch [139][3500/3746] lr: 1.337e-03, eta: 7:13:05, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5741, top5_acc: 0.8120, loss_cls: 4.1091, loss: 4.1091 +2024-01-03 08:44:15,679 - pyskl - INFO - Epoch [139][3600/3746] lr: 1.330e-03, eta: 7:12:02, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5784, top5_acc: 0.8148, loss_cls: 4.1171, loss: 4.1171 +2024-01-03 08:45:16,022 - pyskl - INFO - Epoch [139][3700/3746] lr: 1.324e-03, eta: 7:10:59, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.5764, top5_acc: 0.8150, loss_cls: 4.1061, loss: 4.1061 +2024-01-03 08:45:45,374 - pyskl - INFO - Saving checkpoint at 139 epochs +2024-01-03 08:47:40,269 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 08:47:41,232 - pyskl - INFO - +top1_acc 0.4498 +top5_acc 0.7055 +2024-01-03 08:47:41,232 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 08:47:41,276 - pyskl - INFO - +mean_acc 0.4496 +2024-01-03 08:47:41,286 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_137.pth was removed +2024-01-03 08:47:41,645 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2024-01-03 08:47:41,646 - pyskl - INFO - Best top1_acc is 0.4498 at 139 epoch. +2024-01-03 08:47:41,657 - pyskl - INFO - Epoch(val) [139][309] top1_acc: 0.4498, top5_acc: 0.7055, mean_class_accuracy: 0.4496 +2024-01-03 08:51:03,111 - pyskl - INFO - Epoch [140][100/3746] lr: 1.315e-03, eta: 7:09:47, time: 2.014, data_time: 1.408, memory: 16180, top1_acc: 0.5886, top5_acc: 0.8253, loss_cls: 4.0419, loss: 4.0419 +2024-01-03 08:52:03,441 - pyskl - INFO - Epoch [140][200/3746] lr: 1.308e-03, eta: 7:08:44, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.5983, top5_acc: 0.8331, loss_cls: 3.9996, loss: 3.9996 +2024-01-03 08:53:03,156 - pyskl - INFO - Epoch [140][300/3746] lr: 1.302e-03, eta: 7:07:40, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.5962, top5_acc: 0.8270, loss_cls: 4.0097, loss: 4.0097 +2024-01-03 08:54:02,918 - pyskl - INFO - Epoch [140][400/3746] lr: 1.296e-03, eta: 7:06:37, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6034, top5_acc: 0.8289, loss_cls: 3.9996, loss: 3.9996 +2024-01-03 08:55:02,426 - pyskl - INFO - Epoch [140][500/3746] lr: 1.289e-03, eta: 7:05:34, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5916, top5_acc: 0.8339, loss_cls: 3.9972, loss: 3.9972 +2024-01-03 08:56:02,129 - pyskl - INFO - Epoch [140][600/3746] lr: 1.283e-03, eta: 7:04:30, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.5936, top5_acc: 0.8313, loss_cls: 4.0112, loss: 4.0112 +2024-01-03 08:57:01,312 - pyskl - INFO - Epoch [140][700/3746] lr: 1.277e-03, eta: 7:03:27, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5880, top5_acc: 0.8305, loss_cls: 4.0141, loss: 4.0141 +2024-01-03 08:58:00,918 - pyskl - INFO - Epoch [140][800/3746] lr: 1.271e-03, eta: 7:02:24, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5856, top5_acc: 0.8189, loss_cls: 4.0570, loss: 4.0570 +2024-01-03 08:59:00,872 - pyskl - INFO - Epoch [140][900/3746] lr: 1.264e-03, eta: 7:01:21, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.5986, top5_acc: 0.8298, loss_cls: 4.0182, loss: 4.0182 +2024-01-03 09:00:00,382 - pyskl - INFO - Epoch [140][1000/3746] lr: 1.258e-03, eta: 7:00:17, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5827, top5_acc: 0.8137, loss_cls: 4.0818, loss: 4.0818 +2024-01-03 09:01:00,003 - pyskl - INFO - Epoch [140][1100/3746] lr: 1.252e-03, eta: 6:59:14, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5989, top5_acc: 0.8291, loss_cls: 3.9985, loss: 3.9985 +2024-01-03 09:01:59,346 - pyskl - INFO - Epoch [140][1200/3746] lr: 1.246e-03, eta: 6:58:11, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5961, top5_acc: 0.8295, loss_cls: 4.0152, loss: 4.0152 +2024-01-03 09:02:58,975 - pyskl - INFO - Epoch [140][1300/3746] lr: 1.239e-03, eta: 6:57:08, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5897, top5_acc: 0.8217, loss_cls: 4.0561, loss: 4.0561 +2024-01-03 09:03:58,463 - pyskl - INFO - Epoch [140][1400/3746] lr: 1.233e-03, eta: 6:56:04, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5962, top5_acc: 0.8261, loss_cls: 4.0185, loss: 4.0185 +2024-01-03 09:04:57,826 - pyskl - INFO - Epoch [140][1500/3746] lr: 1.227e-03, eta: 6:55:01, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6038, top5_acc: 0.8330, loss_cls: 3.9885, loss: 3.9885 +2024-01-03 09:05:56,936 - pyskl - INFO - Epoch [140][1600/3746] lr: 1.221e-03, eta: 6:53:58, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5886, top5_acc: 0.8248, loss_cls: 4.0501, loss: 4.0501 +2024-01-03 09:06:56,269 - pyskl - INFO - Epoch [140][1700/3746] lr: 1.215e-03, eta: 6:52:54, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5994, top5_acc: 0.8241, loss_cls: 4.0211, loss: 4.0211 +2024-01-03 09:07:55,518 - pyskl - INFO - Epoch [140][1800/3746] lr: 1.209e-03, eta: 6:51:51, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5903, top5_acc: 0.8294, loss_cls: 4.0304, loss: 4.0304 +2024-01-03 09:08:54,384 - pyskl - INFO - Epoch [140][1900/3746] lr: 1.203e-03, eta: 6:50:48, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5891, top5_acc: 0.8255, loss_cls: 4.0289, loss: 4.0289 +2024-01-03 09:09:53,624 - pyskl - INFO - Epoch [140][2000/3746] lr: 1.196e-03, eta: 6:49:44, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6008, top5_acc: 0.8336, loss_cls: 3.9987, loss: 3.9987 +2024-01-03 09:10:53,169 - pyskl - INFO - Epoch [140][2100/3746] lr: 1.190e-03, eta: 6:48:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5919, top5_acc: 0.8189, loss_cls: 4.0563, loss: 4.0563 +2024-01-03 09:11:52,443 - pyskl - INFO - Epoch [140][2200/3746] lr: 1.184e-03, eta: 6:47:38, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5883, top5_acc: 0.8180, loss_cls: 4.0607, loss: 4.0607 +2024-01-03 09:12:51,907 - pyskl - INFO - Epoch [140][2300/3746] lr: 1.178e-03, eta: 6:46:35, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5897, top5_acc: 0.8219, loss_cls: 4.0362, loss: 4.0362 +2024-01-03 09:13:51,378 - pyskl - INFO - Epoch [140][2400/3746] lr: 1.172e-03, eta: 6:45:31, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5848, top5_acc: 0.8269, loss_cls: 4.0368, loss: 4.0368 +2024-01-03 09:14:51,951 - pyskl - INFO - Epoch [140][2500/3746] lr: 1.166e-03, eta: 6:44:28, time: 0.606, data_time: 0.001, memory: 16180, top1_acc: 0.5863, top5_acc: 0.8177, loss_cls: 4.0644, loss: 4.0644 +2024-01-03 09:15:51,712 - pyskl - INFO - Epoch [140][2600/3746] lr: 1.160e-03, eta: 6:43:25, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.5828, top5_acc: 0.8220, loss_cls: 4.0539, loss: 4.0539 +2024-01-03 09:16:51,438 - pyskl - INFO - Epoch [140][2700/3746] lr: 1.154e-03, eta: 6:42:22, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.5927, top5_acc: 0.8211, loss_cls: 4.0469, loss: 4.0469 +2024-01-03 09:17:51,368 - pyskl - INFO - Epoch [140][2800/3746] lr: 1.148e-03, eta: 6:41:19, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.5770, top5_acc: 0.8231, loss_cls: 4.0613, loss: 4.0613 +2024-01-03 09:18:51,074 - pyskl - INFO - Epoch [140][2900/3746] lr: 1.142e-03, eta: 6:40:16, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.5964, top5_acc: 0.8283, loss_cls: 4.0140, loss: 4.0140 +2024-01-03 09:19:50,232 - pyskl - INFO - Epoch [140][3000/3746] lr: 1.136e-03, eta: 6:39:12, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5863, top5_acc: 0.8220, loss_cls: 4.0664, loss: 4.0664 +2024-01-03 09:20:49,727 - pyskl - INFO - Epoch [140][3100/3746] lr: 1.131e-03, eta: 6:38:09, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5864, top5_acc: 0.8245, loss_cls: 4.0647, loss: 4.0647 +2024-01-03 09:21:48,699 - pyskl - INFO - Epoch [140][3200/3746] lr: 1.125e-03, eta: 6:37:06, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.5817, top5_acc: 0.8203, loss_cls: 4.0632, loss: 4.0632 +2024-01-03 09:22:48,123 - pyskl - INFO - Epoch [140][3300/3746] lr: 1.119e-03, eta: 6:36:03, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5967, top5_acc: 0.8272, loss_cls: 4.0242, loss: 4.0242 +2024-01-03 09:23:47,338 - pyskl - INFO - Epoch [140][3400/3746] lr: 1.113e-03, eta: 6:34:59, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5781, top5_acc: 0.8183, loss_cls: 4.0484, loss: 4.0484 +2024-01-03 09:24:46,966 - pyskl - INFO - Epoch [140][3500/3746] lr: 1.107e-03, eta: 6:33:56, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5816, top5_acc: 0.8173, loss_cls: 4.0706, loss: 4.0706 +2024-01-03 09:25:46,619 - pyskl - INFO - Epoch [140][3600/3746] lr: 1.101e-03, eta: 6:32:53, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.5878, top5_acc: 0.8219, loss_cls: 4.0502, loss: 4.0502 +2024-01-03 09:26:46,319 - pyskl - INFO - Epoch [140][3700/3746] lr: 1.095e-03, eta: 6:31:50, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.5970, top5_acc: 0.8258, loss_cls: 4.0394, loss: 4.0394 +2024-01-03 09:27:16,421 - pyskl - INFO - Saving checkpoint at 140 epochs +2024-01-03 09:29:14,733 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 09:29:15,607 - pyskl - INFO - +top1_acc 0.4481 +top5_acc 0.7009 +2024-01-03 09:29:15,607 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 09:29:15,654 - pyskl - INFO - +mean_acc 0.4479 +2024-01-03 09:29:15,663 - pyskl - INFO - Epoch(val) [140][309] top1_acc: 0.4481, top5_acc: 0.7009, mean_class_accuracy: 0.4479 +2024-01-03 09:32:40,632 - pyskl - INFO - Epoch [141][100/3746] lr: 1.087e-03, eta: 6:30:36, time: 2.050, data_time: 1.439, memory: 16180, top1_acc: 0.6105, top5_acc: 0.8466, loss_cls: 3.9525, loss: 3.9525 +2024-01-03 09:33:40,871 - pyskl - INFO - Epoch [141][200/3746] lr: 1.081e-03, eta: 6:29:33, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.6106, top5_acc: 0.8456, loss_cls: 3.9397, loss: 3.9397 +2024-01-03 09:34:40,672 - pyskl - INFO - Epoch [141][300/3746] lr: 1.075e-03, eta: 6:28:30, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6109, top5_acc: 0.8383, loss_cls: 3.9638, loss: 3.9638 +2024-01-03 09:35:40,325 - pyskl - INFO - Epoch [141][400/3746] lr: 1.070e-03, eta: 6:27:27, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6153, top5_acc: 0.8400, loss_cls: 3.9428, loss: 3.9428 +2024-01-03 09:36:39,848 - pyskl - INFO - Epoch [141][500/3746] lr: 1.064e-03, eta: 6:26:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6216, top5_acc: 0.8394, loss_cls: 3.9372, loss: 3.9372 +2024-01-03 09:37:39,400 - pyskl - INFO - Epoch [141][600/3746] lr: 1.058e-03, eta: 6:25:20, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6172, top5_acc: 0.8430, loss_cls: 3.9386, loss: 3.9386 +2024-01-03 09:38:38,580 - pyskl - INFO - Epoch [141][700/3746] lr: 1.052e-03, eta: 6:24:17, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6044, top5_acc: 0.8428, loss_cls: 3.9533, loss: 3.9533 +2024-01-03 09:39:37,558 - pyskl - INFO - Epoch [141][800/3746] lr: 1.047e-03, eta: 6:23:14, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6031, top5_acc: 0.8355, loss_cls: 3.9870, loss: 3.9870 +2024-01-03 09:40:36,761 - pyskl - INFO - Epoch [141][900/3746] lr: 1.041e-03, eta: 6:22:11, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6039, top5_acc: 0.8405, loss_cls: 3.9502, loss: 3.9502 +2024-01-03 09:41:35,972 - pyskl - INFO - Epoch [141][1000/3746] lr: 1.035e-03, eta: 6:21:07, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5983, top5_acc: 0.8297, loss_cls: 4.0144, loss: 4.0144 +2024-01-03 09:42:35,033 - pyskl - INFO - Epoch [141][1100/3746] lr: 1.030e-03, eta: 6:20:04, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5966, top5_acc: 0.8320, loss_cls: 4.0035, loss: 4.0035 +2024-01-03 09:43:34,144 - pyskl - INFO - Epoch [141][1200/3746] lr: 1.024e-03, eta: 6:19:01, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.5995, top5_acc: 0.8414, loss_cls: 3.9696, loss: 3.9696 +2024-01-03 09:44:33,230 - pyskl - INFO - Epoch [141][1300/3746] lr: 1.018e-03, eta: 6:17:57, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6022, top5_acc: 0.8278, loss_cls: 4.0000, loss: 4.0000 +2024-01-03 09:45:32,689 - pyskl - INFO - Epoch [141][1400/3746] lr: 1.013e-03, eta: 6:16:54, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5958, top5_acc: 0.8333, loss_cls: 4.0009, loss: 4.0009 +2024-01-03 09:46:31,974 - pyskl - INFO - Epoch [141][1500/3746] lr: 1.007e-03, eta: 6:15:51, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5961, top5_acc: 0.8303, loss_cls: 3.9967, loss: 3.9967 +2024-01-03 09:47:31,334 - pyskl - INFO - Epoch [141][1600/3746] lr: 1.002e-03, eta: 6:14:48, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5997, top5_acc: 0.8314, loss_cls: 3.9819, loss: 3.9819 +2024-01-03 09:48:30,600 - pyskl - INFO - Epoch [141][1700/3746] lr: 9.961e-04, eta: 6:13:45, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5978, top5_acc: 0.8298, loss_cls: 3.9861, loss: 3.9861 +2024-01-03 09:49:30,144 - pyskl - INFO - Epoch [141][1800/3746] lr: 9.905e-04, eta: 6:12:41, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5975, top5_acc: 0.8327, loss_cls: 4.0059, loss: 4.0059 +2024-01-03 09:50:29,635 - pyskl - INFO - Epoch [141][1900/3746] lr: 9.850e-04, eta: 6:11:38, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6091, top5_acc: 0.8363, loss_cls: 3.9669, loss: 3.9669 +2024-01-03 09:51:28,721 - pyskl - INFO - Epoch [141][2000/3746] lr: 9.795e-04, eta: 6:10:35, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6006, top5_acc: 0.8348, loss_cls: 3.9715, loss: 3.9715 +2024-01-03 09:52:27,929 - pyskl - INFO - Epoch [141][2100/3746] lr: 9.740e-04, eta: 6:09:32, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5967, top5_acc: 0.8237, loss_cls: 4.0211, loss: 4.0211 +2024-01-03 09:53:27,704 - pyskl - INFO - Epoch [141][2200/3746] lr: 9.685e-04, eta: 6:08:29, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6039, top5_acc: 0.8297, loss_cls: 4.0010, loss: 4.0010 +2024-01-03 09:54:26,868 - pyskl - INFO - Epoch [141][2300/3746] lr: 9.630e-04, eta: 6:07:25, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5994, top5_acc: 0.8255, loss_cls: 4.0147, loss: 4.0147 +2024-01-03 09:55:25,818 - pyskl - INFO - Epoch [141][2400/3746] lr: 9.576e-04, eta: 6:06:22, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.5984, top5_acc: 0.8345, loss_cls: 3.9889, loss: 3.9889 +2024-01-03 09:56:26,034 - pyskl - INFO - Epoch [141][2500/3746] lr: 9.522e-04, eta: 6:05:19, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.5952, top5_acc: 0.8355, loss_cls: 3.9906, loss: 3.9906 +2024-01-03 09:57:26,538 - pyskl - INFO - Epoch [141][2600/3746] lr: 9.467e-04, eta: 6:04:16, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.6055, top5_acc: 0.8347, loss_cls: 3.9837, loss: 3.9837 +2024-01-03 09:58:26,867 - pyskl - INFO - Epoch [141][2700/3746] lr: 9.413e-04, eta: 6:03:13, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.5925, top5_acc: 0.8297, loss_cls: 4.0094, loss: 4.0094 +2024-01-03 09:59:26,281 - pyskl - INFO - Epoch [141][2800/3746] lr: 9.359e-04, eta: 6:02:10, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6066, top5_acc: 0.8366, loss_cls: 3.9733, loss: 3.9733 +2024-01-03 10:00:25,903 - pyskl - INFO - Epoch [141][2900/3746] lr: 9.306e-04, eta: 6:01:07, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5950, top5_acc: 0.8259, loss_cls: 4.0194, loss: 4.0194 +2024-01-03 10:01:25,512 - pyskl - INFO - Epoch [141][3000/3746] lr: 9.252e-04, eta: 6:00:04, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.5994, top5_acc: 0.8306, loss_cls: 3.9945, loss: 3.9945 +2024-01-03 10:02:24,687 - pyskl - INFO - Epoch [141][3100/3746] lr: 9.199e-04, eta: 5:59:00, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6027, top5_acc: 0.8239, loss_cls: 4.0049, loss: 4.0049 +2024-01-03 10:03:23,941 - pyskl - INFO - Epoch [141][3200/3746] lr: 9.145e-04, eta: 5:57:57, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.5961, top5_acc: 0.8345, loss_cls: 3.9911, loss: 3.9911 +2024-01-03 10:04:23,147 - pyskl - INFO - Epoch [141][3300/3746] lr: 9.092e-04, eta: 5:56:54, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.5958, top5_acc: 0.8258, loss_cls: 4.0293, loss: 4.0293 +2024-01-03 10:05:22,669 - pyskl - INFO - Epoch [141][3400/3746] lr: 9.039e-04, eta: 5:55:51, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.5938, top5_acc: 0.8241, loss_cls: 4.0325, loss: 4.0325 +2024-01-03 10:06:21,978 - pyskl - INFO - Epoch [141][3500/3746] lr: 8.986e-04, eta: 5:54:48, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6016, top5_acc: 0.8339, loss_cls: 3.9994, loss: 3.9994 +2024-01-03 10:07:21,950 - pyskl - INFO - Epoch [141][3600/3746] lr: 8.934e-04, eta: 5:53:45, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.5953, top5_acc: 0.8306, loss_cls: 4.0149, loss: 4.0149 +2024-01-03 10:08:22,268 - pyskl - INFO - Epoch [141][3700/3746] lr: 8.881e-04, eta: 5:52:42, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.5855, top5_acc: 0.8206, loss_cls: 4.0436, loss: 4.0436 +2024-01-03 10:08:51,669 - pyskl - INFO - Saving checkpoint at 141 epochs +2024-01-03 10:10:48,920 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 10:10:49,736 - pyskl - INFO - +top1_acc 0.4508 +top5_acc 0.7038 +2024-01-03 10:10:49,736 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 10:10:49,770 - pyskl - INFO - +mean_acc 0.4505 +2024-01-03 10:10:49,777 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_139.pth was removed +2024-01-03 10:10:50,020 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. +2024-01-03 10:10:50,021 - pyskl - INFO - Best top1_acc is 0.4508 at 141 epoch. +2024-01-03 10:10:50,029 - pyskl - INFO - Epoch(val) [141][309] top1_acc: 0.4508, top5_acc: 0.7038, mean_class_accuracy: 0.4505 +2024-01-03 10:14:12,314 - pyskl - INFO - Epoch [142][100/3746] lr: 8.805e-04, eta: 5:51:26, time: 2.023, data_time: 1.417, memory: 16180, top1_acc: 0.6181, top5_acc: 0.8448, loss_cls: 3.9079, loss: 3.9079 +2024-01-03 10:15:13,612 - pyskl - INFO - Epoch [142][200/3746] lr: 8.752e-04, eta: 5:50:23, time: 0.613, data_time: 0.001, memory: 16180, top1_acc: 0.6230, top5_acc: 0.8541, loss_cls: 3.8829, loss: 3.8829 +2024-01-03 10:16:17,053 - pyskl - INFO - Epoch [142][300/3746] lr: 8.700e-04, eta: 5:49:20, time: 0.634, data_time: 0.001, memory: 16180, top1_acc: 0.6191, top5_acc: 0.8433, loss_cls: 3.9131, loss: 3.9131 +2024-01-03 10:17:16,683 - pyskl - INFO - Epoch [142][400/3746] lr: 8.649e-04, eta: 5:48:17, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6152, top5_acc: 0.8502, loss_cls: 3.9079, loss: 3.9079 +2024-01-03 10:18:17,032 - pyskl - INFO - Epoch [142][500/3746] lr: 8.597e-04, eta: 5:47:14, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.6261, top5_acc: 0.8450, loss_cls: 3.8968, loss: 3.8968 +2024-01-03 10:19:16,872 - pyskl - INFO - Epoch [142][600/3746] lr: 8.545e-04, eta: 5:46:11, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6189, top5_acc: 0.8439, loss_cls: 3.9097, loss: 3.9097 +2024-01-03 10:20:16,274 - pyskl - INFO - Epoch [142][700/3746] lr: 8.494e-04, eta: 5:45:07, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6114, top5_acc: 0.8430, loss_cls: 3.9266, loss: 3.9266 +2024-01-03 10:21:15,711 - pyskl - INFO - Epoch [142][800/3746] lr: 8.443e-04, eta: 5:44:04, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6112, top5_acc: 0.8402, loss_cls: 3.9406, loss: 3.9406 +2024-01-03 10:22:14,845 - pyskl - INFO - Epoch [142][900/3746] lr: 8.392e-04, eta: 5:43:01, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6027, top5_acc: 0.8327, loss_cls: 3.9506, loss: 3.9506 +2024-01-03 10:23:14,271 - pyskl - INFO - Epoch [142][1000/3746] lr: 8.341e-04, eta: 5:41:58, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6236, top5_acc: 0.8402, loss_cls: 3.9145, loss: 3.9145 +2024-01-03 10:24:13,891 - pyskl - INFO - Epoch [142][1100/3746] lr: 8.290e-04, eta: 5:40:55, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6219, top5_acc: 0.8473, loss_cls: 3.9046, loss: 3.9046 +2024-01-03 10:25:13,223 - pyskl - INFO - Epoch [142][1200/3746] lr: 8.239e-04, eta: 5:39:52, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6075, top5_acc: 0.8422, loss_cls: 3.9396, loss: 3.9396 +2024-01-03 10:26:12,583 - pyskl - INFO - Epoch [142][1300/3746] lr: 8.189e-04, eta: 5:38:48, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6073, top5_acc: 0.8434, loss_cls: 3.9408, loss: 3.9408 +2024-01-03 10:27:12,214 - pyskl - INFO - Epoch [142][1400/3746] lr: 8.139e-04, eta: 5:37:45, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6109, top5_acc: 0.8417, loss_cls: 3.9415, loss: 3.9415 +2024-01-03 10:28:11,408 - pyskl - INFO - Epoch [142][1500/3746] lr: 8.088e-04, eta: 5:36:42, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6097, top5_acc: 0.8436, loss_cls: 3.9420, loss: 3.9420 +2024-01-03 10:29:10,705 - pyskl - INFO - Epoch [142][1600/3746] lr: 8.038e-04, eta: 5:35:39, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6019, top5_acc: 0.8369, loss_cls: 3.9797, loss: 3.9797 +2024-01-03 10:30:10,027 - pyskl - INFO - Epoch [142][1700/3746] lr: 7.989e-04, eta: 5:34:36, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6144, top5_acc: 0.8377, loss_cls: 3.9449, loss: 3.9449 +2024-01-03 10:31:09,518 - pyskl - INFO - Epoch [142][1800/3746] lr: 7.939e-04, eta: 5:33:33, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6231, top5_acc: 0.8442, loss_cls: 3.9087, loss: 3.9087 +2024-01-03 10:32:08,932 - pyskl - INFO - Epoch [142][1900/3746] lr: 7.889e-04, eta: 5:32:30, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6131, top5_acc: 0.8380, loss_cls: 3.9420, loss: 3.9420 +2024-01-03 10:33:08,030 - pyskl - INFO - Epoch [142][2000/3746] lr: 7.840e-04, eta: 5:31:26, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6136, top5_acc: 0.8372, loss_cls: 3.9473, loss: 3.9473 +2024-01-03 10:34:07,106 - pyskl - INFO - Epoch [142][2100/3746] lr: 7.791e-04, eta: 5:30:23, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6159, top5_acc: 0.8398, loss_cls: 3.9538, loss: 3.9538 +2024-01-03 10:35:06,516 - pyskl - INFO - Epoch [142][2200/3746] lr: 7.742e-04, eta: 5:29:20, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6178, top5_acc: 0.8422, loss_cls: 3.9184, loss: 3.9184 +2024-01-03 10:36:06,601 - pyskl - INFO - Epoch [142][2300/3746] lr: 7.693e-04, eta: 5:28:17, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.6208, top5_acc: 0.8395, loss_cls: 3.9328, loss: 3.9328 +2024-01-03 10:37:06,041 - pyskl - INFO - Epoch [142][2400/3746] lr: 7.644e-04, eta: 5:27:14, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.5984, top5_acc: 0.8306, loss_cls: 3.9830, loss: 3.9830 +2024-01-03 10:38:05,376 - pyskl - INFO - Epoch [142][2500/3746] lr: 7.595e-04, eta: 5:26:11, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6078, top5_acc: 0.8366, loss_cls: 3.9660, loss: 3.9660 +2024-01-03 10:39:05,540 - pyskl - INFO - Epoch [142][2600/3746] lr: 7.547e-04, eta: 5:25:08, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.6081, top5_acc: 0.8348, loss_cls: 3.9737, loss: 3.9737 +2024-01-03 10:40:05,975 - pyskl - INFO - Epoch [142][2700/3746] lr: 7.499e-04, eta: 5:24:05, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.6048, top5_acc: 0.8297, loss_cls: 3.9986, loss: 3.9986 +2024-01-03 10:41:05,228 - pyskl - INFO - Epoch [142][2800/3746] lr: 7.450e-04, eta: 5:23:02, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6319, top5_acc: 0.8459, loss_cls: 3.9042, loss: 3.9042 +2024-01-03 10:42:04,878 - pyskl - INFO - Epoch [142][2900/3746] lr: 7.402e-04, eta: 5:21:58, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6198, top5_acc: 0.8442, loss_cls: 3.9101, loss: 3.9101 +2024-01-03 10:43:04,255 - pyskl - INFO - Epoch [142][3000/3746] lr: 7.355e-04, eta: 5:20:55, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6156, top5_acc: 0.8431, loss_cls: 3.9205, loss: 3.9205 +2024-01-03 10:44:03,382 - pyskl - INFO - Epoch [142][3100/3746] lr: 7.307e-04, eta: 5:19:52, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6052, top5_acc: 0.8369, loss_cls: 3.9452, loss: 3.9452 +2024-01-03 10:45:02,776 - pyskl - INFO - Epoch [142][3200/3746] lr: 7.259e-04, eta: 5:18:49, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6166, top5_acc: 0.8403, loss_cls: 3.9545, loss: 3.9545 +2024-01-03 10:46:02,029 - pyskl - INFO - Epoch [142][3300/3746] lr: 7.212e-04, eta: 5:17:46, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6030, top5_acc: 0.8306, loss_cls: 3.9785, loss: 3.9785 +2024-01-03 10:47:01,261 - pyskl - INFO - Epoch [142][3400/3746] lr: 7.165e-04, eta: 5:16:43, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6161, top5_acc: 0.8400, loss_cls: 3.9384, loss: 3.9384 +2024-01-03 10:48:00,375 - pyskl - INFO - Epoch [142][3500/3746] lr: 7.118e-04, eta: 5:15:40, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6066, top5_acc: 0.8358, loss_cls: 3.9727, loss: 3.9727 +2024-01-03 10:49:00,173 - pyskl - INFO - Epoch [142][3600/3746] lr: 7.071e-04, eta: 5:14:37, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6091, top5_acc: 0.8383, loss_cls: 3.9732, loss: 3.9732 +2024-01-03 10:49:59,993 - pyskl - INFO - Epoch [142][3700/3746] lr: 7.024e-04, eta: 5:13:34, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6089, top5_acc: 0.8356, loss_cls: 3.9444, loss: 3.9444 +2024-01-03 10:50:29,555 - pyskl - INFO - Saving checkpoint at 142 epochs +2024-01-03 10:52:23,134 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 10:52:24,083 - pyskl - INFO - +top1_acc 0.4545 +top5_acc 0.7065 +2024-01-03 10:52:24,083 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 10:52:24,137 - pyskl - INFO - +mean_acc 0.4543 +2024-01-03 10:52:24,139 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_141.pth was removed +2024-01-03 10:52:24,440 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. +2024-01-03 10:52:24,441 - pyskl - INFO - Best top1_acc is 0.4545 at 142 epoch. +2024-01-03 10:52:24,452 - pyskl - INFO - Epoch(val) [142][309] top1_acc: 0.4545, top5_acc: 0.7065, mean_class_accuracy: 0.4543 +2024-01-03 10:55:42,069 - pyskl - INFO - Epoch [143][100/3746] lr: 6.956e-04, eta: 5:12:15, time: 1.976, data_time: 1.368, memory: 16180, top1_acc: 0.6359, top5_acc: 0.8486, loss_cls: 3.8885, loss: 3.8885 +2024-01-03 10:56:42,480 - pyskl - INFO - Epoch [143][200/3746] lr: 6.910e-04, eta: 5:11:12, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.6289, top5_acc: 0.8567, loss_cls: 3.8543, loss: 3.8543 +2024-01-03 10:57:42,684 - pyskl - INFO - Epoch [143][300/3746] lr: 6.863e-04, eta: 5:10:09, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.6253, top5_acc: 0.8484, loss_cls: 3.8903, loss: 3.8903 +2024-01-03 10:58:42,284 - pyskl - INFO - Epoch [143][400/3746] lr: 6.817e-04, eta: 5:09:06, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6270, top5_acc: 0.8525, loss_cls: 3.8801, loss: 3.8801 +2024-01-03 10:59:41,778 - pyskl - INFO - Epoch [143][500/3746] lr: 6.771e-04, eta: 5:08:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6344, top5_acc: 0.8528, loss_cls: 3.8633, loss: 3.8633 +2024-01-03 11:00:41,134 - pyskl - INFO - Epoch [143][600/3746] lr: 6.725e-04, eta: 5:07:00, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6186, top5_acc: 0.8520, loss_cls: 3.8911, loss: 3.8911 +2024-01-03 11:01:40,345 - pyskl - INFO - Epoch [143][700/3746] lr: 6.680e-04, eta: 5:05:57, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6256, top5_acc: 0.8495, loss_cls: 3.8745, loss: 3.8745 +2024-01-03 11:02:39,527 - pyskl - INFO - Epoch [143][800/3746] lr: 6.634e-04, eta: 5:04:53, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6367, top5_acc: 0.8505, loss_cls: 3.8550, loss: 3.8550 +2024-01-03 11:03:38,690 - pyskl - INFO - Epoch [143][900/3746] lr: 6.589e-04, eta: 5:03:50, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6267, top5_acc: 0.8466, loss_cls: 3.8960, loss: 3.8960 +2024-01-03 11:04:37,774 - pyskl - INFO - Epoch [143][1000/3746] lr: 6.544e-04, eta: 5:02:47, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6244, top5_acc: 0.8502, loss_cls: 3.8887, loss: 3.8887 +2024-01-03 11:05:37,121 - pyskl - INFO - Epoch [143][1100/3746] lr: 6.499e-04, eta: 5:01:44, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6288, top5_acc: 0.8467, loss_cls: 3.8842, loss: 3.8842 +2024-01-03 11:06:36,085 - pyskl - INFO - Epoch [143][1200/3746] lr: 6.454e-04, eta: 5:00:41, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6270, top5_acc: 0.8470, loss_cls: 3.8887, loss: 3.8887 +2024-01-03 11:07:35,169 - pyskl - INFO - Epoch [143][1300/3746] lr: 6.409e-04, eta: 4:59:38, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6289, top5_acc: 0.8514, loss_cls: 3.8659, loss: 3.8659 +2024-01-03 11:08:34,559 - pyskl - INFO - Epoch [143][1400/3746] lr: 6.365e-04, eta: 4:58:35, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6350, top5_acc: 0.8488, loss_cls: 3.8859, loss: 3.8859 +2024-01-03 11:09:33,925 - pyskl - INFO - Epoch [143][1500/3746] lr: 6.320e-04, eta: 4:57:32, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6359, top5_acc: 0.8502, loss_cls: 3.8751, loss: 3.8751 +2024-01-03 11:10:32,884 - pyskl - INFO - Epoch [143][1600/3746] lr: 6.276e-04, eta: 4:56:28, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6319, top5_acc: 0.8500, loss_cls: 3.8828, loss: 3.8828 +2024-01-03 11:11:32,152 - pyskl - INFO - Epoch [143][1700/3746] lr: 6.232e-04, eta: 4:55:25, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6306, top5_acc: 0.8556, loss_cls: 3.8743, loss: 3.8743 +2024-01-03 11:12:31,489 - pyskl - INFO - Epoch [143][1800/3746] lr: 6.188e-04, eta: 4:54:22, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6223, top5_acc: 0.8519, loss_cls: 3.8867, loss: 3.8867 +2024-01-03 11:13:30,778 - pyskl - INFO - Epoch [143][1900/3746] lr: 6.144e-04, eta: 4:53:19, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6355, top5_acc: 0.8452, loss_cls: 3.8857, loss: 3.8857 +2024-01-03 11:14:29,845 - pyskl - INFO - Epoch [143][2000/3746] lr: 6.101e-04, eta: 4:52:16, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6239, top5_acc: 0.8505, loss_cls: 3.8700, loss: 3.8700 +2024-01-03 11:15:29,359 - pyskl - INFO - Epoch [143][2100/3746] lr: 6.057e-04, eta: 4:51:13, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6156, top5_acc: 0.8483, loss_cls: 3.9114, loss: 3.9114 +2024-01-03 11:16:28,549 - pyskl - INFO - Epoch [143][2200/3746] lr: 6.014e-04, eta: 4:50:10, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6153, top5_acc: 0.8472, loss_cls: 3.9219, loss: 3.9219 +2024-01-03 11:17:27,966 - pyskl - INFO - Epoch [143][2300/3746] lr: 5.971e-04, eta: 4:49:07, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6148, top5_acc: 0.8441, loss_cls: 3.9238, loss: 3.9238 +2024-01-03 11:18:27,241 - pyskl - INFO - Epoch [143][2400/3746] lr: 5.928e-04, eta: 4:48:04, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6269, top5_acc: 0.8442, loss_cls: 3.8875, loss: 3.8875 +2024-01-03 11:19:26,674 - pyskl - INFO - Epoch [143][2500/3746] lr: 5.885e-04, eta: 4:47:01, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6223, top5_acc: 0.8423, loss_cls: 3.9026, loss: 3.9026 +2024-01-03 11:20:27,077 - pyskl - INFO - Epoch [143][2600/3746] lr: 5.842e-04, eta: 4:45:58, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.6306, top5_acc: 0.8502, loss_cls: 3.8799, loss: 3.8799 +2024-01-03 11:21:28,394 - pyskl - INFO - Epoch [143][2700/3746] lr: 5.800e-04, eta: 4:44:55, time: 0.613, data_time: 0.000, memory: 16180, top1_acc: 0.6238, top5_acc: 0.8462, loss_cls: 3.9001, loss: 3.9001 +2024-01-03 11:22:28,029 - pyskl - INFO - Epoch [143][2800/3746] lr: 5.757e-04, eta: 4:43:52, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6242, top5_acc: 0.8470, loss_cls: 3.9032, loss: 3.9032 +2024-01-03 11:23:27,583 - pyskl - INFO - Epoch [143][2900/3746] lr: 5.715e-04, eta: 4:42:49, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6234, top5_acc: 0.8480, loss_cls: 3.8684, loss: 3.8684 +2024-01-03 11:24:27,132 - pyskl - INFO - Epoch [143][3000/3746] lr: 5.673e-04, eta: 4:41:46, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6192, top5_acc: 0.8450, loss_cls: 3.9034, loss: 3.9034 +2024-01-03 11:25:26,133 - pyskl - INFO - Epoch [143][3100/3746] lr: 5.631e-04, eta: 4:40:43, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6145, top5_acc: 0.8436, loss_cls: 3.9253, loss: 3.9253 +2024-01-03 11:26:25,159 - pyskl - INFO - Epoch [143][3200/3746] lr: 5.590e-04, eta: 4:39:40, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6259, top5_acc: 0.8492, loss_cls: 3.8836, loss: 3.8836 +2024-01-03 11:27:24,316 - pyskl - INFO - Epoch [143][3300/3746] lr: 5.548e-04, eta: 4:38:36, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6209, top5_acc: 0.8373, loss_cls: 3.9319, loss: 3.9319 +2024-01-03 11:28:23,385 - pyskl - INFO - Epoch [143][3400/3746] lr: 5.506e-04, eta: 4:37:33, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6159, top5_acc: 0.8455, loss_cls: 3.9270, loss: 3.9270 +2024-01-03 11:29:22,271 - pyskl - INFO - Epoch [143][3500/3746] lr: 5.465e-04, eta: 4:36:30, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.6317, top5_acc: 0.8548, loss_cls: 3.8712, loss: 3.8712 +2024-01-03 11:30:21,946 - pyskl - INFO - Epoch [143][3600/3746] lr: 5.424e-04, eta: 4:35:27, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6198, top5_acc: 0.8448, loss_cls: 3.9096, loss: 3.9096 +2024-01-03 11:31:21,640 - pyskl - INFO - Epoch [143][3700/3746] lr: 5.383e-04, eta: 4:34:24, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6047, top5_acc: 0.8392, loss_cls: 3.9442, loss: 3.9442 +2024-01-03 11:31:51,235 - pyskl - INFO - Saving checkpoint at 143 epochs +2024-01-03 11:33:47,963 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 11:33:48,926 - pyskl - INFO - +top1_acc 0.4554 +top5_acc 0.7074 +2024-01-03 11:33:48,926 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 11:33:48,968 - pyskl - INFO - +mean_acc 0.4551 +2024-01-03 11:33:48,975 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_142.pth was removed +2024-01-03 11:33:49,297 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_143.pth. +2024-01-03 11:33:49,297 - pyskl - INFO - Best top1_acc is 0.4554 at 143 epoch. +2024-01-03 11:33:49,311 - pyskl - INFO - Epoch(val) [143][309] top1_acc: 0.4554, top5_acc: 0.7074, mean_class_accuracy: 0.4551 +2024-01-03 11:37:10,208 - pyskl - INFO - Epoch [144][100/3746] lr: 5.323e-04, eta: 4:33:04, time: 2.009, data_time: 1.410, memory: 16180, top1_acc: 0.6477, top5_acc: 0.8602, loss_cls: 3.8203, loss: 3.8203 +2024-01-03 11:38:10,691 - pyskl - INFO - Epoch [144][200/3746] lr: 5.283e-04, eta: 4:32:01, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.6481, top5_acc: 0.8641, loss_cls: 3.8140, loss: 3.8140 +2024-01-03 11:39:10,066 - pyskl - INFO - Epoch [144][300/3746] lr: 5.242e-04, eta: 4:30:58, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6427, top5_acc: 0.8594, loss_cls: 3.8212, loss: 3.8212 +2024-01-03 11:40:09,200 - pyskl - INFO - Epoch [144][400/3746] lr: 5.202e-04, eta: 4:29:55, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6411, top5_acc: 0.8603, loss_cls: 3.8195, loss: 3.8195 +2024-01-03 11:41:08,367 - pyskl - INFO - Epoch [144][500/3746] lr: 5.162e-04, eta: 4:28:52, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6419, top5_acc: 0.8617, loss_cls: 3.8100, loss: 3.8100 +2024-01-03 11:42:07,754 - pyskl - INFO - Epoch [144][600/3746] lr: 5.122e-04, eta: 4:27:49, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6456, top5_acc: 0.8616, loss_cls: 3.8034, loss: 3.8034 +2024-01-03 11:43:06,929 - pyskl - INFO - Epoch [144][700/3746] lr: 5.082e-04, eta: 4:26:46, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6384, top5_acc: 0.8570, loss_cls: 3.8321, loss: 3.8321 +2024-01-03 11:44:05,844 - pyskl - INFO - Epoch [144][800/3746] lr: 5.042e-04, eta: 4:25:43, time: 0.589, data_time: 0.000, memory: 16180, top1_acc: 0.6298, top5_acc: 0.8520, loss_cls: 3.8586, loss: 3.8586 +2024-01-03 11:45:05,296 - pyskl - INFO - Epoch [144][900/3746] lr: 5.003e-04, eta: 4:24:40, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6375, top5_acc: 0.8500, loss_cls: 3.8582, loss: 3.8582 +2024-01-03 11:46:04,707 - pyskl - INFO - Epoch [144][1000/3746] lr: 4.964e-04, eta: 4:23:37, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6431, top5_acc: 0.8553, loss_cls: 3.8296, loss: 3.8296 +2024-01-03 11:47:03,774 - pyskl - INFO - Epoch [144][1100/3746] lr: 4.924e-04, eta: 4:22:34, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6403, top5_acc: 0.8583, loss_cls: 3.8315, loss: 3.8315 +2024-01-03 11:48:03,271 - pyskl - INFO - Epoch [144][1200/3746] lr: 4.885e-04, eta: 4:21:31, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6327, top5_acc: 0.8516, loss_cls: 3.8557, loss: 3.8557 +2024-01-03 11:49:02,473 - pyskl - INFO - Epoch [144][1300/3746] lr: 4.846e-04, eta: 4:20:28, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6286, top5_acc: 0.8539, loss_cls: 3.8567, loss: 3.8567 +2024-01-03 11:50:01,897 - pyskl - INFO - Epoch [144][1400/3746] lr: 4.808e-04, eta: 4:19:25, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6436, top5_acc: 0.8567, loss_cls: 3.8295, loss: 3.8295 +2024-01-03 11:51:01,130 - pyskl - INFO - Epoch [144][1500/3746] lr: 4.769e-04, eta: 4:18:22, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6444, top5_acc: 0.8598, loss_cls: 3.8143, loss: 3.8143 +2024-01-03 11:52:00,133 - pyskl - INFO - Epoch [144][1600/3746] lr: 4.731e-04, eta: 4:17:18, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6294, top5_acc: 0.8575, loss_cls: 3.8370, loss: 3.8370 +2024-01-03 11:52:59,464 - pyskl - INFO - Epoch [144][1700/3746] lr: 4.692e-04, eta: 4:16:15, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6347, top5_acc: 0.8592, loss_cls: 3.8672, loss: 3.8672 +2024-01-03 11:53:59,117 - pyskl - INFO - Epoch [144][1800/3746] lr: 4.654e-04, eta: 4:15:12, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6253, top5_acc: 0.8531, loss_cls: 3.8668, loss: 3.8668 +2024-01-03 11:54:58,097 - pyskl - INFO - Epoch [144][1900/3746] lr: 4.616e-04, eta: 4:14:09, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6411, top5_acc: 0.8588, loss_cls: 3.8212, loss: 3.8212 +2024-01-03 11:55:57,279 - pyskl - INFO - Epoch [144][2000/3746] lr: 4.578e-04, eta: 4:13:06, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6427, top5_acc: 0.8527, loss_cls: 3.8495, loss: 3.8495 +2024-01-03 11:56:56,256 - pyskl - INFO - Epoch [144][2100/3746] lr: 4.541e-04, eta: 4:12:03, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6323, top5_acc: 0.8506, loss_cls: 3.8765, loss: 3.8765 +2024-01-03 11:57:55,217 - pyskl - INFO - Epoch [144][2200/3746] lr: 4.503e-04, eta: 4:11:00, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6305, top5_acc: 0.8541, loss_cls: 3.8605, loss: 3.8605 +2024-01-03 11:58:54,343 - pyskl - INFO - Epoch [144][2300/3746] lr: 4.466e-04, eta: 4:09:57, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6270, top5_acc: 0.8467, loss_cls: 3.8765, loss: 3.8765 +2024-01-03 11:59:53,881 - pyskl - INFO - Epoch [144][2400/3746] lr: 4.429e-04, eta: 4:08:54, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6425, top5_acc: 0.8564, loss_cls: 3.8371, loss: 3.8371 +2024-01-03 12:00:53,345 - pyskl - INFO - Epoch [144][2500/3746] lr: 4.392e-04, eta: 4:07:51, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6147, top5_acc: 0.8516, loss_cls: 3.8811, loss: 3.8811 +2024-01-03 12:01:53,373 - pyskl - INFO - Epoch [144][2600/3746] lr: 4.355e-04, eta: 4:06:48, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.6355, top5_acc: 0.8547, loss_cls: 3.8464, loss: 3.8464 +2024-01-03 12:02:54,059 - pyskl - INFO - Epoch [144][2700/3746] lr: 4.318e-04, eta: 4:05:45, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.6362, top5_acc: 0.8547, loss_cls: 3.8441, loss: 3.8441 +2024-01-03 12:03:53,546 - pyskl - INFO - Epoch [144][2800/3746] lr: 4.281e-04, eta: 4:04:42, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6306, top5_acc: 0.8603, loss_cls: 3.8579, loss: 3.8579 +2024-01-03 12:04:52,878 - pyskl - INFO - Epoch [144][2900/3746] lr: 4.245e-04, eta: 4:03:39, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6320, top5_acc: 0.8511, loss_cls: 3.8633, loss: 3.8633 +2024-01-03 12:05:52,586 - pyskl - INFO - Epoch [144][3000/3746] lr: 4.209e-04, eta: 4:02:36, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6345, top5_acc: 0.8594, loss_cls: 3.8372, loss: 3.8372 +2024-01-03 12:06:51,707 - pyskl - INFO - Epoch [144][3100/3746] lr: 4.173e-04, eta: 4:01:33, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6412, top5_acc: 0.8545, loss_cls: 3.8358, loss: 3.8358 +2024-01-03 12:07:51,458 - pyskl - INFO - Epoch [144][3200/3746] lr: 4.137e-04, eta: 4:00:30, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6331, top5_acc: 0.8542, loss_cls: 3.8561, loss: 3.8561 +2024-01-03 12:08:50,719 - pyskl - INFO - Epoch [144][3300/3746] lr: 4.101e-04, eta: 3:59:27, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6384, top5_acc: 0.8544, loss_cls: 3.8452, loss: 3.8452 +2024-01-03 12:09:49,993 - pyskl - INFO - Epoch [144][3400/3746] lr: 4.065e-04, eta: 3:58:24, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6266, top5_acc: 0.8541, loss_cls: 3.8625, loss: 3.8625 +2024-01-03 12:10:49,249 - pyskl - INFO - Epoch [144][3500/3746] lr: 4.030e-04, eta: 3:57:21, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6289, top5_acc: 0.8473, loss_cls: 3.8820, loss: 3.8820 +2024-01-03 12:11:49,278 - pyskl - INFO - Epoch [144][3600/3746] lr: 3.994e-04, eta: 3:56:19, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.6353, top5_acc: 0.8555, loss_cls: 3.8483, loss: 3.8483 +2024-01-03 12:12:49,521 - pyskl - INFO - Epoch [144][3700/3746] lr: 3.959e-04, eta: 3:55:16, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.6236, top5_acc: 0.8448, loss_cls: 3.8882, loss: 3.8882 +2024-01-03 12:13:19,168 - pyskl - INFO - Saving checkpoint at 144 epochs +2024-01-03 12:15:15,262 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 12:15:16,138 - pyskl - INFO - +top1_acc 0.4586 +top5_acc 0.7104 +2024-01-03 12:15:16,138 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 12:15:16,174 - pyskl - INFO - +mean_acc 0.4584 +2024-01-03 12:15:16,182 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_143.pth was removed +2024-01-03 12:15:16,546 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. +2024-01-03 12:15:16,547 - pyskl - INFO - Best top1_acc is 0.4586 at 144 epoch. +2024-01-03 12:15:16,565 - pyskl - INFO - Epoch(val) [144][309] top1_acc: 0.4586, top5_acc: 0.7104, mean_class_accuracy: 0.4584 +2024-01-03 12:18:38,597 - pyskl - INFO - Epoch [145][100/3746] lr: 3.908e-04, eta: 3:53:54, time: 2.020, data_time: 1.423, memory: 16180, top1_acc: 0.6414, top5_acc: 0.8653, loss_cls: 3.8051, loss: 3.8051 +2024-01-03 12:19:38,409 - pyskl - INFO - Epoch [145][200/3746] lr: 3.873e-04, eta: 3:52:51, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6461, top5_acc: 0.8625, loss_cls: 3.7881, loss: 3.7881 +2024-01-03 12:20:37,921 - pyskl - INFO - Epoch [145][300/3746] lr: 3.839e-04, eta: 3:51:48, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6528, top5_acc: 0.8625, loss_cls: 3.7830, loss: 3.7830 +2024-01-03 12:21:37,252 - pyskl - INFO - Epoch [145][400/3746] lr: 3.804e-04, eta: 3:50:45, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6470, top5_acc: 0.8619, loss_cls: 3.7832, loss: 3.7832 +2024-01-03 12:22:36,570 - pyskl - INFO - Epoch [145][500/3746] lr: 3.770e-04, eta: 3:49:42, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6459, top5_acc: 0.8612, loss_cls: 3.8065, loss: 3.8065 +2024-01-03 12:23:35,573 - pyskl - INFO - Epoch [145][600/3746] lr: 3.736e-04, eta: 3:48:39, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6452, top5_acc: 0.8667, loss_cls: 3.7958, loss: 3.7958 +2024-01-03 12:24:34,930 - pyskl - INFO - Epoch [145][700/3746] lr: 3.702e-04, eta: 3:47:36, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6456, top5_acc: 0.8644, loss_cls: 3.7933, loss: 3.7933 +2024-01-03 12:25:34,330 - pyskl - INFO - Epoch [145][800/3746] lr: 3.668e-04, eta: 3:46:33, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6505, top5_acc: 0.8653, loss_cls: 3.7883, loss: 3.7883 +2024-01-03 12:26:33,972 - pyskl - INFO - Epoch [145][900/3746] lr: 3.634e-04, eta: 3:45:30, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6472, top5_acc: 0.8630, loss_cls: 3.7943, loss: 3.7943 +2024-01-03 12:27:33,223 - pyskl - INFO - Epoch [145][1000/3746] lr: 3.600e-04, eta: 3:44:27, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6448, top5_acc: 0.8595, loss_cls: 3.8169, loss: 3.8169 +2024-01-03 12:28:32,635 - pyskl - INFO - Epoch [145][1100/3746] lr: 3.567e-04, eta: 3:43:24, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6500, top5_acc: 0.8606, loss_cls: 3.7924, loss: 3.7924 +2024-01-03 12:29:32,126 - pyskl - INFO - Epoch [145][1200/3746] lr: 3.534e-04, eta: 3:42:21, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6502, top5_acc: 0.8653, loss_cls: 3.7725, loss: 3.7725 +2024-01-03 12:30:31,342 - pyskl - INFO - Epoch [145][1300/3746] lr: 3.501e-04, eta: 3:41:18, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6464, top5_acc: 0.8600, loss_cls: 3.8114, loss: 3.8114 +2024-01-03 12:31:30,419 - pyskl - INFO - Epoch [145][1400/3746] lr: 3.468e-04, eta: 3:40:15, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6378, top5_acc: 0.8570, loss_cls: 3.8205, loss: 3.8205 +2024-01-03 12:32:29,953 - pyskl - INFO - Epoch [145][1500/3746] lr: 3.435e-04, eta: 3:39:12, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6423, top5_acc: 0.8559, loss_cls: 3.8224, loss: 3.8224 +2024-01-03 12:33:29,244 - pyskl - INFO - Epoch [145][1600/3746] lr: 3.402e-04, eta: 3:38:09, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6455, top5_acc: 0.8642, loss_cls: 3.7848, loss: 3.7848 +2024-01-03 12:34:28,277 - pyskl - INFO - Epoch [145][1700/3746] lr: 3.370e-04, eta: 3:37:06, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6402, top5_acc: 0.8639, loss_cls: 3.7866, loss: 3.7866 +2024-01-03 12:35:27,631 - pyskl - INFO - Epoch [145][1800/3746] lr: 3.337e-04, eta: 3:36:03, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6405, top5_acc: 0.8569, loss_cls: 3.8249, loss: 3.8249 +2024-01-03 12:36:27,053 - pyskl - INFO - Epoch [145][1900/3746] lr: 3.305e-04, eta: 3:35:00, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6403, top5_acc: 0.8642, loss_cls: 3.8088, loss: 3.8088 +2024-01-03 12:37:26,440 - pyskl - INFO - Epoch [145][2000/3746] lr: 3.273e-04, eta: 3:33:57, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6536, top5_acc: 0.8619, loss_cls: 3.7771, loss: 3.7771 +2024-01-03 12:38:25,694 - pyskl - INFO - Epoch [145][2100/3746] lr: 3.241e-04, eta: 3:32:54, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6453, top5_acc: 0.8592, loss_cls: 3.8155, loss: 3.8155 +2024-01-03 12:39:24,973 - pyskl - INFO - Epoch [145][2200/3746] lr: 3.210e-04, eta: 3:31:51, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6512, top5_acc: 0.8614, loss_cls: 3.8008, loss: 3.8008 +2024-01-03 12:40:24,404 - pyskl - INFO - Epoch [145][2300/3746] lr: 3.178e-04, eta: 3:30:48, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6573, top5_acc: 0.8648, loss_cls: 3.7607, loss: 3.7607 +2024-01-03 12:41:23,702 - pyskl - INFO - Epoch [145][2400/3746] lr: 3.147e-04, eta: 3:29:45, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6531, top5_acc: 0.8691, loss_cls: 3.7763, loss: 3.7763 +2024-01-03 12:42:23,469 - pyskl - INFO - Epoch [145][2500/3746] lr: 3.116e-04, eta: 3:28:42, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6462, top5_acc: 0.8659, loss_cls: 3.7992, loss: 3.7992 +2024-01-03 12:43:24,398 - pyskl - INFO - Epoch [145][2600/3746] lr: 3.084e-04, eta: 3:27:39, time: 0.609, data_time: 0.000, memory: 16180, top1_acc: 0.6447, top5_acc: 0.8606, loss_cls: 3.7929, loss: 3.7929 +2024-01-03 12:44:24,311 - pyskl - INFO - Epoch [145][2700/3746] lr: 3.054e-04, eta: 3:26:37, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.6533, top5_acc: 0.8617, loss_cls: 3.7923, loss: 3.7923 +2024-01-03 12:45:23,753 - pyskl - INFO - Epoch [145][2800/3746] lr: 3.023e-04, eta: 3:25:34, time: 0.594, data_time: 0.001, memory: 16180, top1_acc: 0.6491, top5_acc: 0.8642, loss_cls: 3.8088, loss: 3.8088 +2024-01-03 12:46:23,600 - pyskl - INFO - Epoch [145][2900/3746] lr: 2.992e-04, eta: 3:24:31, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6462, top5_acc: 0.8584, loss_cls: 3.8211, loss: 3.8211 +2024-01-03 12:47:23,424 - pyskl - INFO - Epoch [145][3000/3746] lr: 2.962e-04, eta: 3:23:28, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6592, top5_acc: 0.8695, loss_cls: 3.7565, loss: 3.7565 +2024-01-03 12:48:22,657 - pyskl - INFO - Epoch [145][3100/3746] lr: 2.931e-04, eta: 3:22:25, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6384, top5_acc: 0.8564, loss_cls: 3.8333, loss: 3.8333 +2024-01-03 12:49:21,947 - pyskl - INFO - Epoch [145][3200/3746] lr: 2.901e-04, eta: 3:21:22, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6609, top5_acc: 0.8678, loss_cls: 3.7591, loss: 3.7591 +2024-01-03 12:50:21,337 - pyskl - INFO - Epoch [145][3300/3746] lr: 2.871e-04, eta: 3:20:19, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6505, top5_acc: 0.8633, loss_cls: 3.7879, loss: 3.7879 +2024-01-03 12:51:20,511 - pyskl - INFO - Epoch [145][3400/3746] lr: 2.841e-04, eta: 3:19:16, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6380, top5_acc: 0.8584, loss_cls: 3.8331, loss: 3.8331 +2024-01-03 12:52:19,991 - pyskl - INFO - Epoch [145][3500/3746] lr: 2.812e-04, eta: 3:18:13, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6405, top5_acc: 0.8588, loss_cls: 3.8164, loss: 3.8164 +2024-01-03 12:53:20,186 - pyskl - INFO - Epoch [145][3600/3746] lr: 2.782e-04, eta: 3:17:10, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.6295, top5_acc: 0.8600, loss_cls: 3.8435, loss: 3.8435 +2024-01-03 12:54:19,823 - pyskl - INFO - Epoch [145][3700/3746] lr: 2.753e-04, eta: 3:16:07, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6409, top5_acc: 0.8531, loss_cls: 3.8239, loss: 3.8239 +2024-01-03 12:54:49,458 - pyskl - INFO - Saving checkpoint at 145 epochs +2024-01-03 12:56:46,670 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 12:56:47,623 - pyskl - INFO - +top1_acc 0.4568 +top5_acc 0.7121 +2024-01-03 12:56:47,623 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 12:56:47,661 - pyskl - INFO - +mean_acc 0.4566 +2024-01-03 12:56:47,672 - pyskl - INFO - Epoch(val) [145][309] top1_acc: 0.4568, top5_acc: 0.7121, mean_class_accuracy: 0.4566 +2024-01-03 13:00:11,709 - pyskl - INFO - Epoch [146][100/3746] lr: 2.710e-04, eta: 3:14:44, time: 2.040, data_time: 1.438, memory: 16180, top1_acc: 0.6572, top5_acc: 0.8683, loss_cls: 3.7606, loss: 3.7606 +2024-01-03 13:01:11,908 - pyskl - INFO - Epoch [146][200/3746] lr: 2.681e-04, eta: 3:13:41, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.6542, top5_acc: 0.8620, loss_cls: 3.7712, loss: 3.7712 +2024-01-03 13:02:11,598 - pyskl - INFO - Epoch [146][300/3746] lr: 2.652e-04, eta: 3:12:38, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6637, top5_acc: 0.8731, loss_cls: 3.7334, loss: 3.7334 +2024-01-03 13:03:11,211 - pyskl - INFO - Epoch [146][400/3746] lr: 2.624e-04, eta: 3:11:35, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6664, top5_acc: 0.8703, loss_cls: 3.7404, loss: 3.7404 +2024-01-03 13:04:10,817 - pyskl - INFO - Epoch [146][500/3746] lr: 2.595e-04, eta: 3:10:32, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6584, top5_acc: 0.8702, loss_cls: 3.7433, loss: 3.7433 +2024-01-03 13:05:10,012 - pyskl - INFO - Epoch [146][600/3746] lr: 2.567e-04, eta: 3:09:29, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6569, top5_acc: 0.8683, loss_cls: 3.7704, loss: 3.7704 +2024-01-03 13:06:09,094 - pyskl - INFO - Epoch [146][700/3746] lr: 2.539e-04, eta: 3:08:26, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6511, top5_acc: 0.8686, loss_cls: 3.7472, loss: 3.7472 +2024-01-03 13:07:08,616 - pyskl - INFO - Epoch [146][800/3746] lr: 2.511e-04, eta: 3:07:24, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6719, top5_acc: 0.8725, loss_cls: 3.7165, loss: 3.7165 +2024-01-03 13:08:07,920 - pyskl - INFO - Epoch [146][900/3746] lr: 2.483e-04, eta: 3:06:21, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6573, top5_acc: 0.8708, loss_cls: 3.7591, loss: 3.7591 +2024-01-03 13:09:06,995 - pyskl - INFO - Epoch [146][1000/3746] lr: 2.455e-04, eta: 3:05:18, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6561, top5_acc: 0.8697, loss_cls: 3.7701, loss: 3.7701 +2024-01-03 13:10:06,394 - pyskl - INFO - Epoch [146][1100/3746] lr: 2.427e-04, eta: 3:04:15, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6619, top5_acc: 0.8680, loss_cls: 3.7554, loss: 3.7554 +2024-01-03 13:11:06,100 - pyskl - INFO - Epoch [146][1200/3746] lr: 2.400e-04, eta: 3:03:12, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6522, top5_acc: 0.8672, loss_cls: 3.7748, loss: 3.7748 +2024-01-03 13:12:05,463 - pyskl - INFO - Epoch [146][1300/3746] lr: 2.373e-04, eta: 3:02:09, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6586, top5_acc: 0.8747, loss_cls: 3.7370, loss: 3.7370 +2024-01-03 13:13:04,723 - pyskl - INFO - Epoch [146][1400/3746] lr: 2.345e-04, eta: 3:01:06, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6488, top5_acc: 0.8641, loss_cls: 3.7949, loss: 3.7949 +2024-01-03 13:14:04,312 - pyskl - INFO - Epoch [146][1500/3746] lr: 2.318e-04, eta: 3:00:03, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6614, top5_acc: 0.8716, loss_cls: 3.7531, loss: 3.7531 +2024-01-03 13:15:03,451 - pyskl - INFO - Epoch [146][1600/3746] lr: 2.292e-04, eta: 2:59:00, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6608, top5_acc: 0.8586, loss_cls: 3.7870, loss: 3.7870 +2024-01-03 13:16:02,823 - pyskl - INFO - Epoch [146][1700/3746] lr: 2.265e-04, eta: 2:57:57, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6608, top5_acc: 0.8691, loss_cls: 3.7677, loss: 3.7677 +2024-01-03 13:17:02,119 - pyskl - INFO - Epoch [146][1800/3746] lr: 2.239e-04, eta: 2:56:54, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6619, top5_acc: 0.8698, loss_cls: 3.7268, loss: 3.7268 +2024-01-03 13:18:01,525 - pyskl - INFO - Epoch [146][1900/3746] lr: 2.212e-04, eta: 2:55:51, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6559, top5_acc: 0.8688, loss_cls: 3.7494, loss: 3.7494 +2024-01-03 13:19:00,889 - pyskl - INFO - Epoch [146][2000/3746] lr: 2.186e-04, eta: 2:54:48, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6523, top5_acc: 0.8680, loss_cls: 3.7650, loss: 3.7650 +2024-01-03 13:20:00,245 - pyskl - INFO - Epoch [146][2100/3746] lr: 2.160e-04, eta: 2:53:45, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6553, top5_acc: 0.8678, loss_cls: 3.7382, loss: 3.7382 +2024-01-03 13:20:59,364 - pyskl - INFO - Epoch [146][2200/3746] lr: 2.134e-04, eta: 2:52:43, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6459, top5_acc: 0.8619, loss_cls: 3.8105, loss: 3.8105 +2024-01-03 13:21:58,560 - pyskl - INFO - Epoch [146][2300/3746] lr: 2.108e-04, eta: 2:51:40, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6669, top5_acc: 0.8689, loss_cls: 3.7444, loss: 3.7444 +2024-01-03 13:22:57,963 - pyskl - INFO - Epoch [146][2400/3746] lr: 2.083e-04, eta: 2:50:37, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6523, top5_acc: 0.8692, loss_cls: 3.7679, loss: 3.7679 +2024-01-03 13:23:58,156 - pyskl - INFO - Epoch [146][2500/3746] lr: 2.057e-04, eta: 2:49:34, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.6491, top5_acc: 0.8670, loss_cls: 3.7792, loss: 3.7792 +2024-01-03 13:24:58,501 - pyskl - INFO - Epoch [146][2600/3746] lr: 2.032e-04, eta: 2:48:31, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.6603, top5_acc: 0.8680, loss_cls: 3.7579, loss: 3.7579 +2024-01-03 13:25:58,881 - pyskl - INFO - Epoch [146][2700/3746] lr: 2.007e-04, eta: 2:47:28, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.6556, top5_acc: 0.8627, loss_cls: 3.7615, loss: 3.7615 +2024-01-03 13:26:59,378 - pyskl - INFO - Epoch [146][2800/3746] lr: 1.982e-04, eta: 2:46:25, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.6613, top5_acc: 0.8695, loss_cls: 3.7481, loss: 3.7481 +2024-01-03 13:27:59,425 - pyskl - INFO - Epoch [146][2900/3746] lr: 1.957e-04, eta: 2:45:23, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.6428, top5_acc: 0.8581, loss_cls: 3.8127, loss: 3.8127 +2024-01-03 13:28:58,711 - pyskl - INFO - Epoch [146][3000/3746] lr: 1.933e-04, eta: 2:44:20, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6442, top5_acc: 0.8645, loss_cls: 3.7872, loss: 3.7872 +2024-01-03 13:29:58,122 - pyskl - INFO - Epoch [146][3100/3746] lr: 1.908e-04, eta: 2:43:17, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6509, top5_acc: 0.8666, loss_cls: 3.7711, loss: 3.7711 +2024-01-03 13:30:57,188 - pyskl - INFO - Epoch [146][3200/3746] lr: 1.884e-04, eta: 2:42:14, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6605, top5_acc: 0.8730, loss_cls: 3.7335, loss: 3.7335 +2024-01-03 13:31:56,410 - pyskl - INFO - Epoch [146][3300/3746] lr: 1.860e-04, eta: 2:41:11, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6633, top5_acc: 0.8677, loss_cls: 3.7607, loss: 3.7607 +2024-01-03 13:32:55,619 - pyskl - INFO - Epoch [146][3400/3746] lr: 1.836e-04, eta: 2:40:08, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6458, top5_acc: 0.8672, loss_cls: 3.7845, loss: 3.7845 +2024-01-03 13:33:54,975 - pyskl - INFO - Epoch [146][3500/3746] lr: 1.812e-04, eta: 2:39:05, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6509, top5_acc: 0.8581, loss_cls: 3.7920, loss: 3.7920 +2024-01-03 13:34:54,783 - pyskl - INFO - Epoch [146][3600/3746] lr: 1.788e-04, eta: 2:38:02, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6505, top5_acc: 0.8611, loss_cls: 3.7929, loss: 3.7929 +2024-01-03 13:35:55,032 - pyskl - INFO - Epoch [146][3700/3746] lr: 1.765e-04, eta: 2:37:00, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.6556, top5_acc: 0.8658, loss_cls: 3.7678, loss: 3.7678 +2024-01-03 13:36:24,869 - pyskl - INFO - Saving checkpoint at 146 epochs +2024-01-03 13:38:22,003 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 13:38:23,080 - pyskl - INFO - +top1_acc 0.4606 +top5_acc 0.7123 +2024-01-03 13:38:23,080 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 13:38:23,121 - pyskl - INFO - +mean_acc 0.4604 +2024-01-03 13:38:23,127 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_144.pth was removed +2024-01-03 13:38:23,444 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_146.pth. +2024-01-03 13:38:23,445 - pyskl - INFO - Best top1_acc is 0.4606 at 146 epoch. +2024-01-03 13:38:23,454 - pyskl - INFO - Epoch(val) [146][309] top1_acc: 0.4606, top5_acc: 0.7123, mean_class_accuracy: 0.4604 +2024-01-03 13:41:47,604 - pyskl - INFO - Epoch [147][100/3746] lr: 1.730e-04, eta: 2:35:35, time: 2.041, data_time: 1.440, memory: 16180, top1_acc: 0.6695, top5_acc: 0.8705, loss_cls: 3.7186, loss: 3.7186 +2024-01-03 13:42:47,800 - pyskl - INFO - Epoch [147][200/3746] lr: 1.707e-04, eta: 2:34:32, time: 0.602, data_time: 0.000, memory: 16180, top1_acc: 0.6669, top5_acc: 0.8759, loss_cls: 3.7227, loss: 3.7227 +2024-01-03 13:43:46,937 - pyskl - INFO - Epoch [147][300/3746] lr: 1.684e-04, eta: 2:33:29, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6753, top5_acc: 0.8770, loss_cls: 3.7057, loss: 3.7057 +2024-01-03 13:44:46,631 - pyskl - INFO - Epoch [147][400/3746] lr: 1.661e-04, eta: 2:32:26, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6792, top5_acc: 0.8781, loss_cls: 3.6872, loss: 3.6872 +2024-01-03 13:45:46,399 - pyskl - INFO - Epoch [147][500/3746] lr: 1.639e-04, eta: 2:31:23, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6694, top5_acc: 0.8777, loss_cls: 3.7150, loss: 3.7150 +2024-01-03 13:46:45,535 - pyskl - INFO - Epoch [147][600/3746] lr: 1.616e-04, eta: 2:30:20, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6619, top5_acc: 0.8759, loss_cls: 3.7279, loss: 3.7279 +2024-01-03 13:47:44,910 - pyskl - INFO - Epoch [147][700/3746] lr: 1.594e-04, eta: 2:29:17, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6652, top5_acc: 0.8761, loss_cls: 3.6992, loss: 3.6992 +2024-01-03 13:48:43,977 - pyskl - INFO - Epoch [147][800/3746] lr: 1.572e-04, eta: 2:28:14, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6717, top5_acc: 0.8759, loss_cls: 3.7098, loss: 3.7098 +2024-01-03 13:49:43,301 - pyskl - INFO - Epoch [147][900/3746] lr: 1.550e-04, eta: 2:27:11, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6583, top5_acc: 0.8673, loss_cls: 3.7399, loss: 3.7399 +2024-01-03 13:50:43,986 - pyskl - INFO - Epoch [147][1000/3746] lr: 1.528e-04, eta: 2:26:09, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.6594, top5_acc: 0.8667, loss_cls: 3.7459, loss: 3.7459 +2024-01-03 13:51:43,720 - pyskl - INFO - Epoch [147][1100/3746] lr: 1.506e-04, eta: 2:25:06, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6670, top5_acc: 0.8741, loss_cls: 3.7257, loss: 3.7257 +2024-01-03 13:52:43,297 - pyskl - INFO - Epoch [147][1200/3746] lr: 1.484e-04, eta: 2:24:03, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6661, top5_acc: 0.8747, loss_cls: 3.7226, loss: 3.7226 +2024-01-03 13:53:43,098 - pyskl - INFO - Epoch [147][1300/3746] lr: 1.463e-04, eta: 2:23:00, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6630, top5_acc: 0.8638, loss_cls: 3.7511, loss: 3.7511 +2024-01-03 13:54:42,726 - pyskl - INFO - Epoch [147][1400/3746] lr: 1.442e-04, eta: 2:21:57, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6742, top5_acc: 0.8748, loss_cls: 3.7121, loss: 3.7121 +2024-01-03 13:55:42,138 - pyskl - INFO - Epoch [147][1500/3746] lr: 1.420e-04, eta: 2:20:54, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6686, top5_acc: 0.8752, loss_cls: 3.7213, loss: 3.7213 +2024-01-03 13:56:41,647 - pyskl - INFO - Epoch [147][1600/3746] lr: 1.399e-04, eta: 2:19:51, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6545, top5_acc: 0.8678, loss_cls: 3.7638, loss: 3.7638 +2024-01-03 13:57:41,028 - pyskl - INFO - Epoch [147][1700/3746] lr: 1.379e-04, eta: 2:18:48, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6616, top5_acc: 0.8756, loss_cls: 3.7294, loss: 3.7294 +2024-01-03 13:58:40,387 - pyskl - INFO - Epoch [147][1800/3746] lr: 1.358e-04, eta: 2:17:46, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6644, top5_acc: 0.8744, loss_cls: 3.7235, loss: 3.7235 +2024-01-03 13:59:40,072 - pyskl - INFO - Epoch [147][1900/3746] lr: 1.337e-04, eta: 2:16:43, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6600, top5_acc: 0.8695, loss_cls: 3.7279, loss: 3.7279 +2024-01-03 14:00:39,492 - pyskl - INFO - Epoch [147][2000/3746] lr: 1.317e-04, eta: 2:15:40, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6575, top5_acc: 0.8608, loss_cls: 3.7837, loss: 3.7837 +2024-01-03 14:01:38,645 - pyskl - INFO - Epoch [147][2100/3746] lr: 1.297e-04, eta: 2:14:37, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6627, top5_acc: 0.8706, loss_cls: 3.7323, loss: 3.7323 +2024-01-03 14:02:37,926 - pyskl - INFO - Epoch [147][2200/3746] lr: 1.277e-04, eta: 2:13:34, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6673, top5_acc: 0.8789, loss_cls: 3.7188, loss: 3.7188 +2024-01-03 14:03:37,217 - pyskl - INFO - Epoch [147][2300/3746] lr: 1.257e-04, eta: 2:12:31, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6639, top5_acc: 0.8744, loss_cls: 3.7341, loss: 3.7341 +2024-01-03 14:04:36,511 - pyskl - INFO - Epoch [147][2400/3746] lr: 1.237e-04, eta: 2:11:28, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6602, top5_acc: 0.8698, loss_cls: 3.7413, loss: 3.7413 +2024-01-03 14:05:36,170 - pyskl - INFO - Epoch [147][2500/3746] lr: 1.218e-04, eta: 2:10:26, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6623, top5_acc: 0.8725, loss_cls: 3.7296, loss: 3.7296 +2024-01-03 14:06:36,122 - pyskl - INFO - Epoch [147][2600/3746] lr: 1.198e-04, eta: 2:09:23, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.6727, top5_acc: 0.8744, loss_cls: 3.7035, loss: 3.7035 +2024-01-03 14:07:36,153 - pyskl - INFO - Epoch [147][2700/3746] lr: 1.179e-04, eta: 2:08:20, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.6659, top5_acc: 0.8744, loss_cls: 3.7379, loss: 3.7379 +2024-01-03 14:08:36,236 - pyskl - INFO - Epoch [147][2800/3746] lr: 1.160e-04, eta: 2:07:17, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.6681, top5_acc: 0.8723, loss_cls: 3.7403, loss: 3.7403 +2024-01-03 14:09:36,017 - pyskl - INFO - Epoch [147][2900/3746] lr: 1.141e-04, eta: 2:06:14, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6656, top5_acc: 0.8725, loss_cls: 3.7372, loss: 3.7372 +2024-01-03 14:10:35,759 - pyskl - INFO - Epoch [147][3000/3746] lr: 1.122e-04, eta: 2:05:12, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6644, top5_acc: 0.8698, loss_cls: 3.7235, loss: 3.7235 +2024-01-03 14:11:35,381 - pyskl - INFO - Epoch [147][3100/3746] lr: 1.103e-04, eta: 2:04:09, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6583, top5_acc: 0.8673, loss_cls: 3.7438, loss: 3.7438 +2024-01-03 14:12:34,392 - pyskl - INFO - Epoch [147][3200/3746] lr: 1.085e-04, eta: 2:03:06, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6631, top5_acc: 0.8742, loss_cls: 3.7364, loss: 3.7364 +2024-01-03 14:13:33,738 - pyskl - INFO - Epoch [147][3300/3746] lr: 1.067e-04, eta: 2:02:03, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6614, top5_acc: 0.8689, loss_cls: 3.7338, loss: 3.7338 +2024-01-03 14:14:32,864 - pyskl - INFO - Epoch [147][3400/3746] lr: 1.048e-04, eta: 2:01:00, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6538, top5_acc: 0.8747, loss_cls: 3.7350, loss: 3.7350 +2024-01-03 14:15:32,623 - pyskl - INFO - Epoch [147][3500/3746] lr: 1.030e-04, eta: 1:59:57, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6559, top5_acc: 0.8714, loss_cls: 3.7562, loss: 3.7562 +2024-01-03 14:16:32,451 - pyskl - INFO - Epoch [147][3600/3746] lr: 1.013e-04, eta: 1:58:55, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6570, top5_acc: 0.8694, loss_cls: 3.7558, loss: 3.7558 +2024-01-03 14:17:32,732 - pyskl - INFO - Epoch [147][3700/3746] lr: 9.949e-05, eta: 1:57:52, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.6552, top5_acc: 0.8664, loss_cls: 3.7682, loss: 3.7682 +2024-01-03 14:18:02,495 - pyskl - INFO - Saving checkpoint at 147 epochs +2024-01-03 14:19:55,478 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 14:19:56,303 - pyskl - INFO - +top1_acc 0.4574 +top5_acc 0.7111 +2024-01-03 14:19:56,303 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 14:19:56,335 - pyskl - INFO - +mean_acc 0.4572 +2024-01-03 14:19:56,344 - pyskl - INFO - Epoch(val) [147][309] top1_acc: 0.4574, top5_acc: 0.7111, mean_class_accuracy: 0.4572 +2024-01-03 14:23:21,254 - pyskl - INFO - Epoch [148][100/3746] lr: 9.693e-05, eta: 1:56:25, time: 2.049, data_time: 1.445, memory: 16180, top1_acc: 0.6803, top5_acc: 0.8788, loss_cls: 3.6920, loss: 3.6920 +2024-01-03 14:24:21,669 - pyskl - INFO - Epoch [148][200/3746] lr: 9.520e-05, eta: 1:55:22, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.6647, top5_acc: 0.8714, loss_cls: 3.7163, loss: 3.7163 +2024-01-03 14:25:21,187 - pyskl - INFO - Epoch [148][300/3746] lr: 9.348e-05, eta: 1:54:19, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6653, top5_acc: 0.8784, loss_cls: 3.6988, loss: 3.6988 +2024-01-03 14:26:20,561 - pyskl - INFO - Epoch [148][400/3746] lr: 9.178e-05, eta: 1:53:17, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6622, top5_acc: 0.8730, loss_cls: 3.7152, loss: 3.7152 +2024-01-03 14:27:20,130 - pyskl - INFO - Epoch [148][500/3746] lr: 9.010e-05, eta: 1:52:14, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6748, top5_acc: 0.8761, loss_cls: 3.7069, loss: 3.7069 +2024-01-03 14:28:19,248 - pyskl - INFO - Epoch [148][600/3746] lr: 8.843e-05, eta: 1:51:11, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6753, top5_acc: 0.8777, loss_cls: 3.6997, loss: 3.6997 +2024-01-03 14:29:18,449 - pyskl - INFO - Epoch [148][700/3746] lr: 8.678e-05, eta: 1:50:08, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6675, top5_acc: 0.8711, loss_cls: 3.7138, loss: 3.7138 +2024-01-03 14:30:17,592 - pyskl - INFO - Epoch [148][800/3746] lr: 8.514e-05, eta: 1:49:05, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6711, top5_acc: 0.8772, loss_cls: 3.6984, loss: 3.6984 +2024-01-03 14:31:16,966 - pyskl - INFO - Epoch [148][900/3746] lr: 8.351e-05, eta: 1:48:02, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6656, top5_acc: 0.8727, loss_cls: 3.7150, loss: 3.7150 +2024-01-03 14:32:16,449 - pyskl - INFO - Epoch [148][1000/3746] lr: 8.191e-05, eta: 1:47:00, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6686, top5_acc: 0.8797, loss_cls: 3.6989, loss: 3.6989 +2024-01-03 14:33:15,945 - pyskl - INFO - Epoch [148][1100/3746] lr: 8.031e-05, eta: 1:45:57, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6698, top5_acc: 0.8734, loss_cls: 3.7123, loss: 3.7123 +2024-01-03 14:34:15,137 - pyskl - INFO - Epoch [148][1200/3746] lr: 7.874e-05, eta: 1:44:54, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6655, top5_acc: 0.8717, loss_cls: 3.7217, loss: 3.7217 +2024-01-03 14:35:14,254 - pyskl - INFO - Epoch [148][1300/3746] lr: 7.718e-05, eta: 1:43:51, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6717, top5_acc: 0.8733, loss_cls: 3.7010, loss: 3.7010 +2024-01-03 14:36:13,247 - pyskl - INFO - Epoch [148][1400/3746] lr: 7.563e-05, eta: 1:42:48, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6713, top5_acc: 0.8733, loss_cls: 3.7067, loss: 3.7067 +2024-01-03 14:37:12,311 - pyskl - INFO - Epoch [148][1500/3746] lr: 7.410e-05, eta: 1:41:45, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6684, top5_acc: 0.8752, loss_cls: 3.7113, loss: 3.7113 +2024-01-03 14:38:11,635 - pyskl - INFO - Epoch [148][1600/3746] lr: 7.259e-05, eta: 1:40:42, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6684, top5_acc: 0.8800, loss_cls: 3.7030, loss: 3.7030 +2024-01-03 14:39:10,651 - pyskl - INFO - Epoch [148][1700/3746] lr: 7.109e-05, eta: 1:39:40, time: 0.590, data_time: 0.000, memory: 16180, top1_acc: 0.6670, top5_acc: 0.8741, loss_cls: 3.7403, loss: 3.7403 +2024-01-03 14:40:10,078 - pyskl - INFO - Epoch [148][1800/3746] lr: 6.961e-05, eta: 1:38:37, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6834, top5_acc: 0.8773, loss_cls: 3.6781, loss: 3.6781 +2024-01-03 14:41:09,310 - pyskl - INFO - Epoch [148][1900/3746] lr: 6.814e-05, eta: 1:37:34, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6666, top5_acc: 0.8731, loss_cls: 3.7064, loss: 3.7064 +2024-01-03 14:42:08,654 - pyskl - INFO - Epoch [148][2000/3746] lr: 6.669e-05, eta: 1:36:31, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6656, top5_acc: 0.8725, loss_cls: 3.7300, loss: 3.7300 +2024-01-03 14:43:08,012 - pyskl - INFO - Epoch [148][2100/3746] lr: 6.526e-05, eta: 1:35:28, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6675, top5_acc: 0.8731, loss_cls: 3.7187, loss: 3.7187 +2024-01-03 14:44:07,204 - pyskl - INFO - Epoch [148][2200/3746] lr: 6.384e-05, eta: 1:34:26, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6687, top5_acc: 0.8752, loss_cls: 3.7009, loss: 3.7009 +2024-01-03 14:45:06,634 - pyskl - INFO - Epoch [148][2300/3746] lr: 6.243e-05, eta: 1:33:23, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6714, top5_acc: 0.8725, loss_cls: 3.7102, loss: 3.7102 +2024-01-03 14:46:06,370 - pyskl - INFO - Epoch [148][2400/3746] lr: 6.104e-05, eta: 1:32:20, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6645, top5_acc: 0.8784, loss_cls: 3.7139, loss: 3.7139 +2024-01-03 14:47:06,379 - pyskl - INFO - Epoch [148][2500/3746] lr: 5.967e-05, eta: 1:31:17, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.6619, top5_acc: 0.8738, loss_cls: 3.7155, loss: 3.7155 +2024-01-03 14:48:06,482 - pyskl - INFO - Epoch [148][2600/3746] lr: 5.831e-05, eta: 1:30:14, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.6625, top5_acc: 0.8822, loss_cls: 3.7083, loss: 3.7083 +2024-01-03 14:49:06,275 - pyskl - INFO - Epoch [148][2700/3746] lr: 5.697e-05, eta: 1:29:12, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6755, top5_acc: 0.8758, loss_cls: 3.6918, loss: 3.6918 +2024-01-03 14:50:06,388 - pyskl - INFO - Epoch [148][2800/3746] lr: 5.564e-05, eta: 1:28:09, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.6717, top5_acc: 0.8761, loss_cls: 3.6884, loss: 3.6884 +2024-01-03 14:51:06,052 - pyskl - INFO - Epoch [148][2900/3746] lr: 5.433e-05, eta: 1:27:06, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6686, top5_acc: 0.8728, loss_cls: 3.7125, loss: 3.7125 +2024-01-03 14:52:05,585 - pyskl - INFO - Epoch [148][3000/3746] lr: 5.304e-05, eta: 1:26:03, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6683, top5_acc: 0.8761, loss_cls: 3.7139, loss: 3.7139 +2024-01-03 14:53:05,242 - pyskl - INFO - Epoch [148][3100/3746] lr: 5.176e-05, eta: 1:25:01, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6655, top5_acc: 0.8788, loss_cls: 3.7105, loss: 3.7105 +2024-01-03 14:54:04,580 - pyskl - INFO - Epoch [148][3200/3746] lr: 5.050e-05, eta: 1:23:58, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6741, top5_acc: 0.8795, loss_cls: 3.6696, loss: 3.6696 +2024-01-03 14:55:04,274 - pyskl - INFO - Epoch [148][3300/3746] lr: 4.925e-05, eta: 1:22:55, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6722, top5_acc: 0.8742, loss_cls: 3.7067, loss: 3.7067 +2024-01-03 14:56:03,703 - pyskl - INFO - Epoch [148][3400/3746] lr: 4.801e-05, eta: 1:21:52, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6753, top5_acc: 0.8803, loss_cls: 3.6858, loss: 3.6858 +2024-01-03 14:57:03,601 - pyskl - INFO - Epoch [148][3500/3746] lr: 4.680e-05, eta: 1:20:49, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.6698, top5_acc: 0.8734, loss_cls: 3.7019, loss: 3.7019 +2024-01-03 14:58:03,494 - pyskl - INFO - Epoch [148][3600/3746] lr: 4.560e-05, eta: 1:19:47, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.6628, top5_acc: 0.8802, loss_cls: 3.7106, loss: 3.7106 +2024-01-03 14:59:03,605 - pyskl - INFO - Epoch [148][3700/3746] lr: 4.441e-05, eta: 1:18:44, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.6737, top5_acc: 0.8806, loss_cls: 3.6901, loss: 3.6901 +2024-01-03 14:59:33,571 - pyskl - INFO - Saving checkpoint at 148 epochs +2024-01-03 15:01:29,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 15:01:30,363 - pyskl - INFO - +top1_acc 0.4605 +top5_acc 0.7126 +2024-01-03 15:01:30,363 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 15:01:30,404 - pyskl - INFO - +mean_acc 0.4602 +2024-01-03 15:01:30,414 - pyskl - INFO - Epoch(val) [148][309] top1_acc: 0.4605, top5_acc: 0.7126, mean_class_accuracy: 0.4602 +2024-01-03 15:04:56,099 - pyskl - INFO - Epoch [149][100/3746] lr: 4.271e-05, eta: 1:17:16, time: 2.057, data_time: 1.451, memory: 16180, top1_acc: 0.6897, top5_acc: 0.8823, loss_cls: 3.6450, loss: 3.6450 +2024-01-03 15:05:56,385 - pyskl - INFO - Epoch [149][200/3746] lr: 4.156e-05, eta: 1:16:13, time: 0.603, data_time: 0.000, memory: 16180, top1_acc: 0.6703, top5_acc: 0.8812, loss_cls: 3.6964, loss: 3.6964 +2024-01-03 15:06:56,114 - pyskl - INFO - Epoch [149][300/3746] lr: 4.043e-05, eta: 1:15:10, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6809, top5_acc: 0.8827, loss_cls: 3.6611, loss: 3.6611 +2024-01-03 15:07:55,993 - pyskl - INFO - Epoch [149][400/3746] lr: 3.931e-05, eta: 1:14:07, time: 0.599, data_time: 0.001, memory: 16180, top1_acc: 0.6691, top5_acc: 0.8750, loss_cls: 3.7154, loss: 3.7154 +2024-01-03 15:08:55,946 - pyskl - INFO - Epoch [149][500/3746] lr: 3.821e-05, eta: 1:13:04, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.6852, top5_acc: 0.8822, loss_cls: 3.6649, loss: 3.6649 +2024-01-03 15:09:55,814 - pyskl - INFO - Epoch [149][600/3746] lr: 3.713e-05, eta: 1:12:02, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.6780, top5_acc: 0.8794, loss_cls: 3.6957, loss: 3.6957 +2024-01-03 15:10:55,159 - pyskl - INFO - Epoch [149][700/3746] lr: 3.606e-05, eta: 1:10:59, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6700, top5_acc: 0.8755, loss_cls: 3.7152, loss: 3.7152 +2024-01-03 15:11:54,423 - pyskl - INFO - Epoch [149][800/3746] lr: 3.500e-05, eta: 1:09:56, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6716, top5_acc: 0.8788, loss_cls: 3.6782, loss: 3.6782 +2024-01-03 15:12:53,670 - pyskl - INFO - Epoch [149][900/3746] lr: 3.397e-05, eta: 1:08:53, time: 0.592, data_time: 0.000, memory: 16180, top1_acc: 0.6686, top5_acc: 0.8794, loss_cls: 3.7013, loss: 3.7013 +2024-01-03 15:13:53,075 - pyskl - INFO - Epoch [149][1000/3746] lr: 3.294e-05, eta: 1:07:50, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6741, top5_acc: 0.8814, loss_cls: 3.6933, loss: 3.6933 +2024-01-03 15:14:52,790 - pyskl - INFO - Epoch [149][1100/3746] lr: 3.194e-05, eta: 1:06:48, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6737, top5_acc: 0.8809, loss_cls: 3.6794, loss: 3.6794 +2024-01-03 15:15:52,056 - pyskl - INFO - Epoch [149][1200/3746] lr: 3.095e-05, eta: 1:05:45, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6770, top5_acc: 0.8750, loss_cls: 3.6780, loss: 3.6780 +2024-01-03 15:16:51,411 - pyskl - INFO - Epoch [149][1300/3746] lr: 2.997e-05, eta: 1:04:42, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6622, top5_acc: 0.8719, loss_cls: 3.7252, loss: 3.7252 +2024-01-03 15:17:50,978 - pyskl - INFO - Epoch [149][1400/3746] lr: 2.901e-05, eta: 1:03:39, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6714, top5_acc: 0.8842, loss_cls: 3.7017, loss: 3.7017 +2024-01-03 15:18:50,326 - pyskl - INFO - Epoch [149][1500/3746] lr: 2.807e-05, eta: 1:02:37, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6692, top5_acc: 0.8791, loss_cls: 3.6963, loss: 3.6963 +2024-01-03 15:19:49,838 - pyskl - INFO - Epoch [149][1600/3746] lr: 2.714e-05, eta: 1:01:34, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6728, top5_acc: 0.8709, loss_cls: 3.7219, loss: 3.7219 +2024-01-03 15:20:49,551 - pyskl - INFO - Epoch [149][1700/3746] lr: 2.622e-05, eta: 1:00:31, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6686, top5_acc: 0.8714, loss_cls: 3.7173, loss: 3.7173 +2024-01-03 15:21:49,036 - pyskl - INFO - Epoch [149][1800/3746] lr: 2.533e-05, eta: 0:59:28, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6791, top5_acc: 0.8786, loss_cls: 3.6943, loss: 3.6943 +2024-01-03 15:22:48,346 - pyskl - INFO - Epoch [149][1900/3746] lr: 2.444e-05, eta: 0:58:26, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6750, top5_acc: 0.8733, loss_cls: 3.7014, loss: 3.7014 +2024-01-03 15:23:48,036 - pyskl - INFO - Epoch [149][2000/3746] lr: 2.358e-05, eta: 0:57:23, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6816, top5_acc: 0.8778, loss_cls: 3.6774, loss: 3.6774 +2024-01-03 15:24:47,606 - pyskl - INFO - Epoch [149][2100/3746] lr: 2.273e-05, eta: 0:56:20, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6769, top5_acc: 0.8825, loss_cls: 3.6648, loss: 3.6648 +2024-01-03 15:25:47,348 - pyskl - INFO - Epoch [149][2200/3746] lr: 2.189e-05, eta: 0:55:17, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6827, top5_acc: 0.8788, loss_cls: 3.6876, loss: 3.6876 +2024-01-03 15:26:46,939 - pyskl - INFO - Epoch [149][2300/3746] lr: 2.107e-05, eta: 0:54:14, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6666, top5_acc: 0.8738, loss_cls: 3.7010, loss: 3.7010 +2024-01-03 15:27:46,787 - pyskl - INFO - Epoch [149][2400/3746] lr: 2.027e-05, eta: 0:53:12, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6852, top5_acc: 0.8881, loss_cls: 3.6459, loss: 3.6459 +2024-01-03 15:28:47,333 - pyskl - INFO - Epoch [149][2500/3746] lr: 1.948e-05, eta: 0:52:09, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.6669, top5_acc: 0.8784, loss_cls: 3.6948, loss: 3.6948 +2024-01-03 15:29:46,872 - pyskl - INFO - Epoch [149][2600/3746] lr: 1.871e-05, eta: 0:51:06, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6703, top5_acc: 0.8733, loss_cls: 3.6950, loss: 3.6950 +2024-01-03 15:30:46,432 - pyskl - INFO - Epoch [149][2700/3746] lr: 1.795e-05, eta: 0:50:04, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6728, top5_acc: 0.8766, loss_cls: 3.6830, loss: 3.6830 +2024-01-03 15:31:46,297 - pyskl - INFO - Epoch [149][2800/3746] lr: 1.721e-05, eta: 0:49:01, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.6803, top5_acc: 0.8791, loss_cls: 3.6693, loss: 3.6693 +2024-01-03 15:32:46,183 - pyskl - INFO - Epoch [149][2900/3746] lr: 1.649e-05, eta: 0:47:58, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.6836, top5_acc: 0.8808, loss_cls: 3.6727, loss: 3.6727 +2024-01-03 15:33:45,791 - pyskl - INFO - Epoch [149][3000/3746] lr: 1.578e-05, eta: 0:46:55, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6734, top5_acc: 0.8825, loss_cls: 3.6711, loss: 3.6711 +2024-01-03 15:34:45,277 - pyskl - INFO - Epoch [149][3100/3746] lr: 1.508e-05, eta: 0:45:53, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6739, top5_acc: 0.8834, loss_cls: 3.6905, loss: 3.6905 +2024-01-03 15:35:44,846 - pyskl - INFO - Epoch [149][3200/3746] lr: 1.440e-05, eta: 0:44:50, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6725, top5_acc: 0.8716, loss_cls: 3.7080, loss: 3.7080 +2024-01-03 15:36:44,218 - pyskl - INFO - Epoch [149][3300/3746] lr: 1.374e-05, eta: 0:43:47, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6836, top5_acc: 0.8816, loss_cls: 3.6706, loss: 3.6706 +2024-01-03 15:37:43,578 - pyskl - INFO - Epoch [149][3400/3746] lr: 1.309e-05, eta: 0:42:44, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6797, top5_acc: 0.8839, loss_cls: 3.6696, loss: 3.6696 +2024-01-03 15:38:43,241 - pyskl - INFO - Epoch [149][3500/3746] lr: 1.246e-05, eta: 0:41:42, time: 0.597, data_time: 0.000, memory: 16180, top1_acc: 0.6781, top5_acc: 0.8753, loss_cls: 3.6948, loss: 3.6948 +2024-01-03 15:39:43,667 - pyskl - INFO - Epoch [149][3600/3746] lr: 1.184e-05, eta: 0:40:39, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.6723, top5_acc: 0.8827, loss_cls: 3.6860, loss: 3.6860 +2024-01-03 15:40:43,203 - pyskl - INFO - Epoch [149][3700/3746] lr: 1.124e-05, eta: 0:39:36, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6683, top5_acc: 0.8723, loss_cls: 3.7131, loss: 3.7131 +2024-01-03 15:41:13,745 - pyskl - INFO - Saving checkpoint at 149 epochs +2024-01-03 15:43:07,982 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 15:43:08,867 - pyskl - INFO - +top1_acc 0.4599 +top5_acc 0.7123 +2024-01-03 15:43:08,867 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 15:43:08,906 - pyskl - INFO - +mean_acc 0.4596 +2024-01-03 15:43:08,917 - pyskl - INFO - Epoch(val) [149][309] top1_acc: 0.4599, top5_acc: 0.7123, mean_class_accuracy: 0.4596 +2024-01-03 15:46:34,282 - pyskl - INFO - Epoch [150][100/3746] lr: 1.039e-05, eta: 0:38:06, time: 2.054, data_time: 1.443, memory: 16180, top1_acc: 0.6773, top5_acc: 0.8812, loss_cls: 3.6833, loss: 3.6833 +2024-01-03 15:47:34,827 - pyskl - INFO - Epoch [150][200/3746] lr: 9.832e-06, eta: 0:37:03, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.6828, top5_acc: 0.8830, loss_cls: 3.6557, loss: 3.6557 +2024-01-03 15:48:34,707 - pyskl - INFO - Epoch [150][300/3746] lr: 9.285e-06, eta: 0:36:01, time: 0.599, data_time: 0.000, memory: 16180, top1_acc: 0.6748, top5_acc: 0.8759, loss_cls: 3.6881, loss: 3.6881 +2024-01-03 15:49:34,844 - pyskl - INFO - Epoch [150][400/3746] lr: 8.754e-06, eta: 0:34:58, time: 0.601, data_time: 0.001, memory: 16180, top1_acc: 0.6737, top5_acc: 0.8761, loss_cls: 3.7087, loss: 3.7087 +2024-01-03 15:50:34,835 - pyskl - INFO - Epoch [150][500/3746] lr: 8.239e-06, eta: 0:33:55, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.6780, top5_acc: 0.8850, loss_cls: 3.6731, loss: 3.6731 +2024-01-03 15:51:34,677 - pyskl - INFO - Epoch [150][600/3746] lr: 7.739e-06, eta: 0:32:52, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6822, top5_acc: 0.8823, loss_cls: 3.6641, loss: 3.6641 +2024-01-03 15:52:34,628 - pyskl - INFO - Epoch [150][700/3746] lr: 7.255e-06, eta: 0:31:50, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.6777, top5_acc: 0.8777, loss_cls: 3.6941, loss: 3.6941 +2024-01-03 15:53:34,985 - pyskl - INFO - Epoch [150][800/3746] lr: 6.787e-06, eta: 0:30:47, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.6777, top5_acc: 0.8822, loss_cls: 3.6766, loss: 3.6766 +2024-01-03 15:54:34,567 - pyskl - INFO - Epoch [150][900/3746] lr: 6.334e-06, eta: 0:29:44, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6759, top5_acc: 0.8795, loss_cls: 3.6767, loss: 3.6767 +2024-01-03 15:55:34,532 - pyskl - INFO - Epoch [150][1000/3746] lr: 5.897e-06, eta: 0:28:42, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.6763, top5_acc: 0.8838, loss_cls: 3.6757, loss: 3.6757 +2024-01-03 15:56:34,285 - pyskl - INFO - Epoch [150][1100/3746] lr: 5.475e-06, eta: 0:27:39, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6856, top5_acc: 0.8822, loss_cls: 3.6538, loss: 3.6538 +2024-01-03 15:57:33,842 - pyskl - INFO - Epoch [150][1200/3746] lr: 5.070e-06, eta: 0:26:36, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6769, top5_acc: 0.8792, loss_cls: 3.6902, loss: 3.6902 +2024-01-03 15:58:33,919 - pyskl - INFO - Epoch [150][1300/3746] lr: 4.679e-06, eta: 0:25:33, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.6764, top5_acc: 0.8847, loss_cls: 3.6859, loss: 3.6859 +2024-01-03 15:59:34,577 - pyskl - INFO - Epoch [150][1400/3746] lr: 4.305e-06, eta: 0:24:31, time: 0.607, data_time: 0.000, memory: 16180, top1_acc: 0.6869, top5_acc: 0.8816, loss_cls: 3.6585, loss: 3.6585 +2024-01-03 16:00:35,081 - pyskl - INFO - Epoch [150][1500/3746] lr: 3.946e-06, eta: 0:23:28, time: 0.605, data_time: 0.000, memory: 16180, top1_acc: 0.6705, top5_acc: 0.8789, loss_cls: 3.6859, loss: 3.6859 +2024-01-03 16:01:35,232 - pyskl - INFO - Epoch [150][1600/3746] lr: 3.602e-06, eta: 0:22:25, time: 0.601, data_time: 0.000, memory: 16180, top1_acc: 0.6681, top5_acc: 0.8784, loss_cls: 3.7127, loss: 3.7127 +2024-01-03 16:02:34,864 - pyskl - INFO - Epoch [150][1700/3746] lr: 3.275e-06, eta: 0:21:22, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6845, top5_acc: 0.8812, loss_cls: 3.6591, loss: 3.6591 +2024-01-03 16:03:34,503 - pyskl - INFO - Epoch [150][1800/3746] lr: 2.962e-06, eta: 0:20:20, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6777, top5_acc: 0.8758, loss_cls: 3.6891, loss: 3.6891 +2024-01-03 16:04:34,079 - pyskl - INFO - Epoch [150][1900/3746] lr: 2.666e-06, eta: 0:19:17, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6786, top5_acc: 0.8853, loss_cls: 3.6609, loss: 3.6609 +2024-01-03 16:05:33,652 - pyskl - INFO - Epoch [150][2000/3746] lr: 2.385e-06, eta: 0:18:14, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6681, top5_acc: 0.8770, loss_cls: 3.6931, loss: 3.6931 +2024-01-03 16:06:33,162 - pyskl - INFO - Epoch [150][2100/3746] lr: 2.120e-06, eta: 0:17:12, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6813, top5_acc: 0.8786, loss_cls: 3.6950, loss: 3.6950 +2024-01-03 16:07:32,507 - pyskl - INFO - Epoch [150][2200/3746] lr: 1.870e-06, eta: 0:16:09, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6756, top5_acc: 0.8775, loss_cls: 3.6759, loss: 3.6759 +2024-01-03 16:08:32,051 - pyskl - INFO - Epoch [150][2300/3746] lr: 1.636e-06, eta: 0:15:06, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6778, top5_acc: 0.8816, loss_cls: 3.6795, loss: 3.6795 +2024-01-03 16:09:31,387 - pyskl - INFO - Epoch [150][2400/3746] lr: 1.418e-06, eta: 0:14:03, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6778, top5_acc: 0.8753, loss_cls: 3.7022, loss: 3.7022 +2024-01-03 16:10:30,807 - pyskl - INFO - Epoch [150][2500/3746] lr: 1.215e-06, eta: 0:13:01, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6809, top5_acc: 0.8827, loss_cls: 3.6559, loss: 3.6559 +2024-01-03 16:11:30,241 - pyskl - INFO - Epoch [150][2600/3746] lr: 1.028e-06, eta: 0:11:58, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6750, top5_acc: 0.8798, loss_cls: 3.6937, loss: 3.6937 +2024-01-03 16:12:29,528 - pyskl - INFO - Epoch [150][2700/3746] lr: 8.567e-07, eta: 0:10:55, time: 0.593, data_time: 0.000, memory: 16180, top1_acc: 0.6755, top5_acc: 0.8828, loss_cls: 3.6695, loss: 3.6695 +2024-01-03 16:13:29,919 - pyskl - INFO - Epoch [150][2800/3746] lr: 7.008e-07, eta: 0:09:53, time: 0.604, data_time: 0.000, memory: 16180, top1_acc: 0.6592, top5_acc: 0.8753, loss_cls: 3.7261, loss: 3.7261 +2024-01-03 16:14:29,895 - pyskl - INFO - Epoch [150][2900/3746] lr: 5.606e-07, eta: 0:08:50, time: 0.600, data_time: 0.000, memory: 16180, top1_acc: 0.6798, top5_acc: 0.8855, loss_cls: 3.6614, loss: 3.6614 +2024-01-03 16:15:29,347 - pyskl - INFO - Epoch [150][3000/3746] lr: 4.361e-07, eta: 0:07:47, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6730, top5_acc: 0.8761, loss_cls: 3.6939, loss: 3.6939 +2024-01-03 16:16:28,992 - pyskl - INFO - Epoch [150][3100/3746] lr: 3.271e-07, eta: 0:06:44, time: 0.596, data_time: 0.000, memory: 16180, top1_acc: 0.6758, top5_acc: 0.8817, loss_cls: 3.6708, loss: 3.6708 +2024-01-03 16:17:28,830 - pyskl - INFO - Epoch [150][3200/3746] lr: 2.338e-07, eta: 0:05:42, time: 0.598, data_time: 0.000, memory: 16180, top1_acc: 0.6781, top5_acc: 0.8745, loss_cls: 3.6778, loss: 3.6778 +2024-01-03 16:18:28,209 - pyskl - INFO - Epoch [150][3300/3746] lr: 1.561e-07, eta: 0:04:39, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6748, top5_acc: 0.8716, loss_cls: 3.7119, loss: 3.7119 +2024-01-03 16:19:27,677 - pyskl - INFO - Epoch [150][3400/3746] lr: 9.410e-08, eta: 0:03:36, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6786, top5_acc: 0.8764, loss_cls: 3.6862, loss: 3.6862 +2024-01-03 16:20:27,166 - pyskl - INFO - Epoch [150][3500/3746] lr: 4.768e-08, eta: 0:02:34, time: 0.595, data_time: 0.000, memory: 16180, top1_acc: 0.6859, top5_acc: 0.8788, loss_cls: 3.6731, loss: 3.6731 +2024-01-03 16:21:26,304 - pyskl - INFO - Epoch [150][3600/3746] lr: 1.689e-08, eta: 0:01:31, time: 0.591, data_time: 0.000, memory: 16180, top1_acc: 0.6841, top5_acc: 0.8831, loss_cls: 3.6655, loss: 3.6655 +2024-01-03 16:22:25,679 - pyskl - INFO - Epoch [150][3700/3746] lr: 1.726e-09, eta: 0:00:28, time: 0.594, data_time: 0.000, memory: 16180, top1_acc: 0.6781, top5_acc: 0.8792, loss_cls: 3.6854, loss: 3.6854 +2024-01-03 16:22:55,596 - pyskl - INFO - Saving checkpoint at 150 epochs +2024-01-03 16:24:53,442 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 16:24:54,508 - pyskl - INFO - +top1_acc 0.4590 +top5_acc 0.7132 +2024-01-03 16:24:54,508 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 16:24:54,552 - pyskl - INFO - +mean_acc 0.4588 +2024-01-03 16:24:54,562 - pyskl - INFO - Epoch(val) [150][309] top1_acc: 0.4590, top5_acc: 0.7132, mean_class_accuracy: 0.4588 +2024-01-03 16:25:11,192 - pyskl - INFO - 19743 videos remain after valid thresholding +2024-01-03 16:37:03,434 - pyskl - INFO - Testing results of the last checkpoint +2024-01-03 16:37:03,434 - pyskl - INFO - top1_acc: 0.4729 +2024-01-03 16:37:03,434 - pyskl - INFO - top5_acc: 0.7240 +2024-01-03 16:37:03,434 - pyskl - INFO - mean_class_accuracy: 0.4727 +2024-01-03 16:37:03,434 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/k400/j_3/best_top1_acc_epoch_146.pth +2024-01-03 16:49:10,320 - pyskl - INFO - Testing results of the best checkpoint +2024-01-03 16:49:10,321 - pyskl - INFO - top1_acc: 0.4707 +2024-01-03 16:49:10,321 - pyskl - INFO - top5_acc: 0.7242 +2024-01-03 16:49:10,321 - pyskl - INFO - mean_class_accuracy: 0.4705