diff --git "a/k400/j_1/20231220_214209.log" "b/k400/j_1/20231220_214209.log" new file mode 100644--- /dev/null +++ "b/k400/j_1/20231220_214209.log" @@ -0,0 +1,4475 @@ +2023-12-20 21:42:09,104 - 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 0,1,2,3: NVIDIA GeForce RTX 3090 +CUDA_HOME: /usr/local +NVCC: Cuda compilation tools, release 11.5, V11.5.50 +GCC: gcc (Ubuntu 7.5.0-6ubuntu2) 7.5.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.1 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2023-12-20 21:42:10,112 - pyskl - INFO - Config: modality = 'j' +graph = 'coco_new' +work_dir = './work_dirs/test_prototype/k400/j_1' +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=32, + workers_per_gpu=8, + 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=0.2, 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, 4) + +2023-12-20 21:42:14,791 - pyskl - INFO - Set random seed to 362295793, deterministic: False +2023-12-20 21:42:24,429 - pyskl - INFO - 239737 videos remain after valid thresholding +2023-12-20 21:42:36,959 - pyskl - INFO - 19743 videos remain after valid thresholding +2023-12-20 21:42:36,961 - pyskl - INFO - Start running, host: hao.wang@gdp, work_dir: /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1 +2023-12-20 21:42:36,961 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-12-20 21:42:36,965 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2023-12-20 21:42:36,966 - pyskl - INFO - Checkpoints will be saved to /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1 by HardDiskBackend. +2023-12-20 21:44:22,443 - pyskl - INFO - Epoch [1][100/1873] lr: 2.000e-01, eta: 3 days, 10:16:25, time: 1.055, data_time: 0.659, memory: 8129, top1_acc: 0.0049, top5_acc: 0.0277, loss_cls: 8.3445, loss: 8.3445 +2023-12-20 21:44:55,084 - pyskl - INFO - Epoch [1][200/1873] lr: 2.000e-01, eta: 2 days, 5:51:07, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.0135, top5_acc: 0.0598, loss_cls: 7.9798, loss: 7.9798 +2023-12-20 21:45:27,843 - pyskl - INFO - Epoch [1][300/1873] lr: 2.000e-01, eta: 1 day, 20:23:48, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.0202, top5_acc: 0.0782, loss_cls: 7.7852, loss: 7.7852 +2023-12-20 21:46:00,566 - pyskl - INFO - Epoch [1][400/1873] lr: 2.000e-01, eta: 1 day, 15:39:52, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.0238, top5_acc: 0.0938, loss_cls: 7.6520, loss: 7.6520 +2023-12-20 21:46:33,264 - pyskl - INFO - Epoch [1][500/1873] lr: 2.000e-01, eta: 1 day, 12:48:49, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.0325, top5_acc: 0.1130, loss_cls: 7.5395, loss: 7.5395 +2023-12-20 21:47:06,165 - pyskl - INFO - Epoch [1][600/1873] lr: 2.000e-01, eta: 1 day, 10:56:08, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.0360, top5_acc: 0.1307, loss_cls: 7.5183, loss: 7.5183 +2023-12-20 21:47:39,026 - pyskl - INFO - Epoch [1][700/1873] lr: 2.000e-01, eta: 1 day, 9:35:18, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.0404, top5_acc: 0.1408, loss_cls: 7.5291, loss: 7.5291 +2023-12-20 21:48:11,817 - pyskl - INFO - Epoch [1][800/1873] lr: 2.000e-01, eta: 1 day, 8:34:12, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.0474, top5_acc: 0.1583, loss_cls: 7.6046, loss: 7.6046 +2023-12-20 21:48:44,604 - pyskl - INFO - Epoch [1][900/1873] lr: 2.000e-01, eta: 1 day, 7:46:30, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.0516, top5_acc: 0.1712, loss_cls: 7.6903, loss: 7.6903 +2023-12-20 21:49:17,467 - pyskl - INFO - Epoch [1][1000/1873] lr: 2.000e-01, eta: 1 day, 7:08:32, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.0519, top5_acc: 0.1772, loss_cls: 7.7754, loss: 7.7754 +2023-12-20 21:49:50,336 - pyskl - INFO - Epoch [1][1100/1873] lr: 2.000e-01, eta: 1 day, 6:37:28, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.0591, top5_acc: 0.1891, loss_cls: 7.9603, loss: 7.9603 +2023-12-20 21:50:23,092 - pyskl - INFO - Epoch [1][1200/1873] lr: 2.000e-01, eta: 1 day, 6:11:00, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.0630, top5_acc: 0.2002, loss_cls: 7.8980, loss: 7.8980 +2023-12-20 21:50:56,082 - pyskl - INFO - Epoch [1][1300/1873] lr: 2.000e-01, eta: 1 day, 5:49:23, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.0669, top5_acc: 0.2116, loss_cls: 7.8492, loss: 7.8492 +2023-12-20 21:51:29,063 - pyskl - INFO - Epoch [1][1400/1873] lr: 2.000e-01, eta: 1 day, 5:30:43, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.0727, top5_acc: 0.2183, loss_cls: 7.9151, loss: 7.9151 +2023-12-20 21:52:02,097 - pyskl - INFO - Epoch [1][1500/1873] lr: 2.000e-01, eta: 1 day, 5:14:39, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.0750, top5_acc: 0.2230, loss_cls: 7.8444, loss: 7.8444 +2023-12-20 21:52:34,991 - pyskl - INFO - Epoch [1][1600/1873] lr: 2.000e-01, eta: 1 day, 5:00:07, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.0871, top5_acc: 0.2428, loss_cls: 7.8635, loss: 7.8635 +2023-12-20 21:53:07,862 - pyskl - INFO - Epoch [1][1700/1873] lr: 2.000e-01, eta: 1 day, 4:47:07, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.0893, top5_acc: 0.2555, loss_cls: 7.8652, loss: 7.8652 +2023-12-20 21:53:40,536 - pyskl - INFO - Epoch [1][1800/1873] lr: 2.000e-01, eta: 1 day, 4:35:03, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.0930, top5_acc: 0.2589, loss_cls: 7.8094, loss: 7.8094 +2023-12-20 21:54:08,174 - pyskl - INFO - Saving checkpoint at 1 epochs +2023-12-20 21:54:51,971 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-20 21:54:52,721 - pyskl - INFO - +top1_acc 0.0691 +top5_acc 0.2057 +2023-12-20 21:54:52,722 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-20 21:54:52,769 - pyskl - INFO - +mean_acc 0.0691 +2023-12-20 21:54:52,939 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2023-12-20 21:54:52,940 - pyskl - INFO - Best top1_acc is 0.0691 at 1 epoch. +2023-12-20 21:54:52,952 - pyskl - INFO - Epoch(val) [1][155] top1_acc: 0.0691, top5_acc: 0.2057, mean_class_accuracy: 0.0691 +2023-12-20 21:56:38,194 - pyskl - INFO - Epoch [2][100/1873] lr: 2.000e-01, eta: 1 day, 6:11:40, time: 1.052, data_time: 0.720, memory: 8129, top1_acc: 0.1009, top5_acc: 0.2776, loss_cls: 7.7869, loss: 7.7869 +2023-12-20 21:57:11,359 - pyskl - INFO - Epoch [2][200/1873] lr: 2.000e-01, eta: 1 day, 5:58:02, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1098, top5_acc: 0.2857, loss_cls: 7.7398, loss: 7.7398 +2023-12-20 21:57:44,556 - pyskl - INFO - Epoch [2][300/1873] lr: 2.000e-01, eta: 1 day, 5:45:39, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1078, top5_acc: 0.2886, loss_cls: 7.7142, loss: 7.7142 +2023-12-20 21:58:17,786 - pyskl - INFO - Epoch [2][400/1873] lr: 2.000e-01, eta: 1 day, 5:34:23, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1129, top5_acc: 0.2921, loss_cls: 7.6937, loss: 7.6937 +2023-12-20 21:58:50,910 - pyskl - INFO - Epoch [2][500/1873] lr: 2.000e-01, eta: 1 day, 5:23:47, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1134, top5_acc: 0.2961, loss_cls: 7.6321, loss: 7.6321 +2023-12-20 21:59:23,943 - pyskl - INFO - Epoch [2][600/1873] lr: 2.000e-01, eta: 1 day, 5:13:51, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1174, top5_acc: 0.3048, loss_cls: 7.6403, loss: 7.6403 +2023-12-20 21:59:57,028 - pyskl - INFO - Epoch [2][700/1873] lr: 2.000e-01, eta: 1 day, 5:04:45, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1235, top5_acc: 0.3101, loss_cls: 7.6402, loss: 7.6402 +2023-12-20 22:00:30,231 - pyskl - INFO - Epoch [2][800/1873] lr: 2.000e-01, eta: 1 day, 4:56:27, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1201, top5_acc: 0.3145, loss_cls: 7.5353, loss: 7.5353 +2023-12-20 22:01:03,163 - pyskl - INFO - Epoch [2][900/1873] lr: 2.000e-01, eta: 1 day, 4:48:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.1273, top5_acc: 0.3252, loss_cls: 7.4948, loss: 7.4948 +2023-12-20 22:01:36,151 - pyskl - INFO - Epoch [2][1000/1873] lr: 1.999e-01, eta: 1 day, 4:40:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1288, top5_acc: 0.3157, loss_cls: 7.4460, loss: 7.4460 +2023-12-20 22:02:09,383 - pyskl - INFO - Epoch [2][1100/1873] lr: 1.999e-01, eta: 1 day, 4:34:05, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1239, top5_acc: 0.3266, loss_cls: 7.3534, loss: 7.3534 +2023-12-20 22:02:42,439 - pyskl - INFO - Epoch [2][1200/1873] lr: 1.999e-01, eta: 1 day, 4:27:31, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1394, top5_acc: 0.3376, loss_cls: 7.3658, loss: 7.3658 +2023-12-20 22:03:15,370 - pyskl - INFO - Epoch [2][1300/1873] lr: 1.999e-01, eta: 1 day, 4:21:10, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.1373, top5_acc: 0.3352, loss_cls: 7.3931, loss: 7.3931 +2023-12-20 22:03:48,454 - pyskl - INFO - Epoch [2][1400/1873] lr: 1.999e-01, eta: 1 day, 4:15:22, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1386, top5_acc: 0.3403, loss_cls: 7.2374, loss: 7.2374 +2023-12-20 22:04:21,622 - pyskl - INFO - Epoch [2][1500/1873] lr: 1.999e-01, eta: 1 day, 4:10:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1410, top5_acc: 0.3489, loss_cls: 7.1639, loss: 7.1639 +2023-12-20 22:04:54,547 - pyskl - INFO - Epoch [2][1600/1873] lr: 1.999e-01, eta: 1 day, 4:04:36, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.1377, top5_acc: 0.3437, loss_cls: 7.2309, loss: 7.2309 +2023-12-20 22:05:27,601 - pyskl - INFO - Epoch [2][1700/1873] lr: 1.999e-01, eta: 1 day, 3:59:37, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1512, top5_acc: 0.3602, loss_cls: 7.1351, loss: 7.1351 +2023-12-20 22:06:00,463 - pyskl - INFO - Epoch [2][1800/1873] lr: 1.999e-01, eta: 1 day, 3:54:39, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.1444, top5_acc: 0.3576, loss_cls: 7.1394, loss: 7.1394 +2023-12-20 22:06:28,697 - pyskl - INFO - Saving checkpoint at 2 epochs +2023-12-20 22:07:13,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-20 22:07:13,771 - pyskl - INFO - +top1_acc 0.0677 +top5_acc 0.2104 +2023-12-20 22:07:13,771 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-20 22:07:13,806 - pyskl - INFO - +mean_acc 0.0675 +2023-12-20 22:07:13,816 - pyskl - INFO - Epoch(val) [2][155] top1_acc: 0.0677, top5_acc: 0.2104, mean_class_accuracy: 0.0675 +2023-12-20 22:08:57,666 - pyskl - INFO - Epoch [3][100/1873] lr: 1.999e-01, eta: 1 day, 4:43:01, time: 1.038, data_time: 0.683, memory: 8129, top1_acc: 0.1487, top5_acc: 0.3568, loss_cls: 7.0545, loss: 7.0545 +2023-12-20 22:09:30,664 - pyskl - INFO - Epoch [3][200/1873] lr: 1.999e-01, eta: 1 day, 4:37:21, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1495, top5_acc: 0.3588, loss_cls: 7.0761, loss: 7.0761 +2023-12-20 22:10:03,496 - pyskl - INFO - Epoch [3][300/1873] lr: 1.999e-01, eta: 1 day, 4:31:45, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.1581, top5_acc: 0.3741, loss_cls: 7.0194, loss: 7.0194 +2023-12-20 22:10:36,345 - pyskl - INFO - Epoch [3][400/1873] lr: 1.999e-01, eta: 1 day, 4:26:24, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.1600, top5_acc: 0.3755, loss_cls: 6.9723, loss: 6.9723 +2023-12-20 22:11:09,274 - pyskl - INFO - Epoch [3][500/1873] lr: 1.999e-01, eta: 1 day, 4:21:22, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.1605, top5_acc: 0.3756, loss_cls: 6.9154, loss: 6.9154 +2023-12-20 22:11:42,428 - pyskl - INFO - Epoch [3][600/1873] lr: 1.999e-01, eta: 1 day, 4:16:48, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1616, top5_acc: 0.3770, loss_cls: 6.8845, loss: 6.8845 +2023-12-20 22:12:15,512 - pyskl - INFO - Epoch [3][700/1873] lr: 1.999e-01, eta: 1 day, 4:12:19, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1545, top5_acc: 0.3675, loss_cls: 6.9201, loss: 6.9201 +2023-12-20 22:12:48,619 - pyskl - INFO - Epoch [3][800/1873] lr: 1.999e-01, eta: 1 day, 4:08:03, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1611, top5_acc: 0.3809, loss_cls: 6.8708, loss: 6.8708 +2023-12-20 22:13:21,818 - pyskl - INFO - Epoch [3][900/1873] lr: 1.999e-01, eta: 1 day, 4:04:01, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1634, top5_acc: 0.3855, loss_cls: 6.8150, loss: 6.8150 +2023-12-20 22:13:54,758 - pyskl - INFO - Epoch [3][1000/1873] lr: 1.999e-01, eta: 1 day, 3:59:54, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.1600, top5_acc: 0.3774, loss_cls: 6.8444, loss: 6.8444 +2023-12-20 22:14:27,933 - pyskl - INFO - Epoch [3][1100/1873] lr: 1.999e-01, eta: 1 day, 3:56:07, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1652, top5_acc: 0.3889, loss_cls: 6.8030, loss: 6.8030 +2023-12-20 22:15:00,919 - pyskl - INFO - Epoch [3][1200/1873] lr: 1.998e-01, eta: 1 day, 3:52:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1695, top5_acc: 0.3884, loss_cls: 6.8079, loss: 6.8079 +2023-12-20 22:15:34,037 - pyskl - INFO - Epoch [3][1300/1873] lr: 1.998e-01, eta: 1 day, 3:48:46, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1682, top5_acc: 0.3854, loss_cls: 6.7629, loss: 6.7629 +2023-12-20 22:16:07,115 - pyskl - INFO - Epoch [3][1400/1873] lr: 1.998e-01, eta: 1 day, 3:45:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1684, top5_acc: 0.3891, loss_cls: 6.7542, loss: 6.7542 +2023-12-20 22:16:40,363 - pyskl - INFO - Epoch [3][1500/1873] lr: 1.998e-01, eta: 1 day, 3:42:05, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.1713, top5_acc: 0.3923, loss_cls: 6.7287, loss: 6.7287 +2023-12-20 22:17:13,509 - pyskl - INFO - Epoch [3][1600/1873] lr: 1.998e-01, eta: 1 day, 3:38:52, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1701, top5_acc: 0.3945, loss_cls: 6.7128, loss: 6.7128 +2023-12-20 22:17:46,599 - pyskl - INFO - Epoch [3][1700/1873] lr: 1.998e-01, eta: 1 day, 3:35:44, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1751, top5_acc: 0.3936, loss_cls: 6.6739, loss: 6.6739 +2023-12-20 22:18:19,243 - pyskl - INFO - Epoch [3][1800/1873] lr: 1.998e-01, eta: 1 day, 3:32:18, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.1734, top5_acc: 0.3966, loss_cls: 6.6769, loss: 6.6769 +2023-12-20 22:18:47,854 - pyskl - INFO - Saving checkpoint at 3 epochs +2023-12-20 22:19:31,982 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-20 22:19:32,679 - pyskl - INFO - +top1_acc 0.1212 +top5_acc 0.3157 +2023-12-20 22:19:32,679 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-20 22:19:32,717 - pyskl - INFO - +mean_acc 0.1213 +2023-12-20 22:19:32,724 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_1.pth was removed +2023-12-20 22:19:32,906 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2023-12-20 22:19:32,907 - pyskl - INFO - Best top1_acc is 0.1212 at 3 epoch. +2023-12-20 22:19:32,919 - pyskl - INFO - Epoch(val) [3][155] top1_acc: 0.1212, top5_acc: 0.3157, mean_class_accuracy: 0.1213 +2023-12-20 22:21:14,677 - pyskl - INFO - Epoch [4][100/1873] lr: 1.998e-01, eta: 1 day, 4:02:55, time: 1.017, data_time: 0.658, memory: 8129, top1_acc: 0.1759, top5_acc: 0.3992, loss_cls: 6.6593, loss: 6.6593 +2023-12-20 22:21:47,585 - pyskl - INFO - Epoch [4][200/1873] lr: 1.998e-01, eta: 1 day, 3:59:20, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.1791, top5_acc: 0.4040, loss_cls: 6.5975, loss: 6.5975 +2023-12-20 22:22:20,547 - pyskl - INFO - Epoch [4][300/1873] lr: 1.998e-01, eta: 1 day, 3:55:53, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1803, top5_acc: 0.4067, loss_cls: 6.6050, loss: 6.6050 +2023-12-20 22:22:53,706 - pyskl - INFO - Epoch [4][400/1873] lr: 1.998e-01, eta: 1 day, 3:52:41, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1801, top5_acc: 0.4032, loss_cls: 6.6451, loss: 6.6451 +2023-12-20 22:23:26,727 - pyskl - INFO - Epoch [4][500/1873] lr: 1.998e-01, eta: 1 day, 3:49:28, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1738, top5_acc: 0.4039, loss_cls: 6.5978, loss: 6.5978 +2023-12-20 22:23:59,750 - pyskl - INFO - Epoch [4][600/1873] lr: 1.998e-01, eta: 1 day, 3:46:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1868, top5_acc: 0.4135, loss_cls: 6.5545, loss: 6.5545 +2023-12-20 22:24:32,735 - pyskl - INFO - Epoch [4][700/1873] lr: 1.998e-01, eta: 1 day, 3:43:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1850, top5_acc: 0.4081, loss_cls: 6.5775, loss: 6.5775 +2023-12-20 22:25:05,748 - pyskl - INFO - Epoch [4][800/1873] lr: 1.997e-01, eta: 1 day, 3:40:17, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1880, top5_acc: 0.4102, loss_cls: 6.5539, loss: 6.5539 +2023-12-20 22:25:38,730 - pyskl - INFO - Epoch [4][900/1873] lr: 1.997e-01, eta: 1 day, 3:37:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1828, top5_acc: 0.4080, loss_cls: 6.5558, loss: 6.5558 +2023-12-20 22:26:11,754 - pyskl - INFO - Epoch [4][1000/1873] lr: 1.997e-01, eta: 1 day, 3:34:32, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1836, top5_acc: 0.4130, loss_cls: 6.5839, loss: 6.5839 +2023-12-20 22:26:44,842 - pyskl - INFO - Epoch [4][1100/1873] lr: 1.997e-01, eta: 1 day, 3:31:49, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1888, top5_acc: 0.4155, loss_cls: 6.5255, loss: 6.5255 +2023-12-20 22:27:17,856 - pyskl - INFO - Epoch [4][1200/1873] lr: 1.997e-01, eta: 1 day, 3:29:08, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1823, top5_acc: 0.4209, loss_cls: 6.5066, loss: 6.5066 +2023-12-20 22:27:51,021 - pyskl - INFO - Epoch [4][1300/1873] lr: 1.997e-01, eta: 1 day, 3:26:36, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1905, top5_acc: 0.4185, loss_cls: 6.4933, loss: 6.4933 +2023-12-20 22:28:24,236 - pyskl - INFO - Epoch [4][1400/1873] lr: 1.997e-01, eta: 1 day, 3:24:08, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1873, top5_acc: 0.4155, loss_cls: 6.4832, loss: 6.4832 +2023-12-20 22:28:57,174 - pyskl - INFO - Epoch [4][1500/1873] lr: 1.997e-01, eta: 1 day, 3:21:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1820, top5_acc: 0.4120, loss_cls: 6.5247, loss: 6.5247 +2023-12-20 22:29:30,026 - pyskl - INFO - Epoch [4][1600/1873] lr: 1.997e-01, eta: 1 day, 3:19:00, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.1835, top5_acc: 0.4122, loss_cls: 6.5319, loss: 6.5319 +2023-12-20 22:30:02,896 - pyskl - INFO - Epoch [4][1700/1873] lr: 1.997e-01, eta: 1 day, 3:16:30, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.1949, top5_acc: 0.4270, loss_cls: 6.4618, loss: 6.4618 +2023-12-20 22:30:35,595 - pyskl - INFO - Epoch [4][1800/1873] lr: 1.997e-01, eta: 1 day, 3:13:57, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.1909, top5_acc: 0.4245, loss_cls: 6.4448, loss: 6.4448 +2023-12-20 22:31:03,538 - pyskl - INFO - Saving checkpoint at 4 epochs +2023-12-20 22:31:48,157 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-20 22:31:49,023 - pyskl - INFO - +top1_acc 0.1367 +top5_acc 0.3355 +2023-12-20 22:31:49,023 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-20 22:31:49,061 - pyskl - INFO - +mean_acc 0.1366 +2023-12-20 22:31:49,066 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_3.pth was removed +2023-12-20 22:31:49,248 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2023-12-20 22:31:49,249 - pyskl - INFO - Best top1_acc is 0.1367 at 4 epoch. +2023-12-20 22:31:49,260 - pyskl - INFO - Epoch(val) [4][155] top1_acc: 0.1367, top5_acc: 0.3355, mean_class_accuracy: 0.1366 +2023-12-20 22:33:36,257 - pyskl - INFO - Epoch [5][100/1873] lr: 1.996e-01, eta: 1 day, 3:39:54, time: 1.070, data_time: 0.702, memory: 8129, top1_acc: 0.1966, top5_acc: 0.4303, loss_cls: 6.4163, loss: 6.4163 +2023-12-20 22:34:09,182 - pyskl - INFO - Epoch [5][200/1873] lr: 1.996e-01, eta: 1 day, 3:37:13, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.1924, top5_acc: 0.4313, loss_cls: 6.4149, loss: 6.4149 +2023-12-20 22:34:42,408 - pyskl - INFO - Epoch [5][300/1873] lr: 1.996e-01, eta: 1 day, 3:34:46, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1985, top5_acc: 0.4337, loss_cls: 6.3897, loss: 6.3897 +2023-12-20 22:35:15,542 - pyskl - INFO - Epoch [5][400/1873] lr: 1.996e-01, eta: 1 day, 3:32:18, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1973, top5_acc: 0.4273, loss_cls: 6.4142, loss: 6.4142 +2023-12-20 22:35:48,654 - pyskl - INFO - Epoch [5][500/1873] lr: 1.996e-01, eta: 1 day, 3:29:53, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1936, top5_acc: 0.4280, loss_cls: 6.4213, loss: 6.4213 +2023-12-20 22:36:21,740 - pyskl - INFO - Epoch [5][600/1873] lr: 1.996e-01, eta: 1 day, 3:27:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1942, top5_acc: 0.4248, loss_cls: 6.4255, loss: 6.4255 +2023-12-20 22:36:54,954 - pyskl - INFO - Epoch [5][700/1873] lr: 1.996e-01, eta: 1 day, 3:25:13, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1963, top5_acc: 0.4320, loss_cls: 6.3897, loss: 6.3897 +2023-12-20 22:37:28,279 - pyskl - INFO - Epoch [5][800/1873] lr: 1.996e-01, eta: 1 day, 3:23:02, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.1899, top5_acc: 0.4189, loss_cls: 6.4233, loss: 6.4233 +2023-12-20 22:38:01,475 - pyskl - INFO - Epoch [5][900/1873] lr: 1.996e-01, eta: 1 day, 3:20:50, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1960, top5_acc: 0.4333, loss_cls: 6.4064, loss: 6.4064 +2023-12-20 22:38:34,642 - pyskl - INFO - Epoch [5][1000/1873] lr: 1.995e-01, eta: 1 day, 3:18:39, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.1957, top5_acc: 0.4297, loss_cls: 6.4264, loss: 6.4264 +2023-12-20 22:39:07,625 - pyskl - INFO - Epoch [5][1100/1873] lr: 1.995e-01, eta: 1 day, 3:16:24, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2037, top5_acc: 0.4333, loss_cls: 6.3960, loss: 6.3960 +2023-12-20 22:39:40,584 - pyskl - INFO - Epoch [5][1200/1873] lr: 1.995e-01, eta: 1 day, 3:14:11, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2016, top5_acc: 0.4368, loss_cls: 6.3816, loss: 6.3816 +2023-12-20 22:40:13,558 - pyskl - INFO - Epoch [5][1300/1873] lr: 1.995e-01, eta: 1 day, 3:12:01, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2005, top5_acc: 0.4363, loss_cls: 6.3640, loss: 6.3640 +2023-12-20 22:40:46,565 - pyskl - INFO - Epoch [5][1400/1873] lr: 1.995e-01, eta: 1 day, 3:09:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1936, top5_acc: 0.4331, loss_cls: 6.3604, loss: 6.3604 +2023-12-20 22:41:19,692 - pyskl - INFO - Epoch [5][1500/1873] lr: 1.995e-01, eta: 1 day, 3:07:53, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2032, top5_acc: 0.4331, loss_cls: 6.3564, loss: 6.3564 +2023-12-20 22:41:52,779 - pyskl - INFO - Epoch [5][1600/1873] lr: 1.995e-01, eta: 1 day, 3:05:52, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.1999, top5_acc: 0.4330, loss_cls: 6.3470, loss: 6.3470 +2023-12-20 22:42:25,854 - pyskl - INFO - Epoch [5][1700/1873] lr: 1.995e-01, eta: 1 day, 3:03:54, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2044, top5_acc: 0.4427, loss_cls: 6.3339, loss: 6.3339 +2023-12-20 22:42:58,584 - pyskl - INFO - Epoch [5][1800/1873] lr: 1.995e-01, eta: 1 day, 3:01:47, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2051, top5_acc: 0.4391, loss_cls: 6.3390, loss: 6.3390 +2023-12-20 22:43:26,926 - pyskl - INFO - Saving checkpoint at 5 epochs +2023-12-20 22:44:12,840 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-20 22:44:13,893 - pyskl - INFO - +top1_acc 0.1304 +top5_acc 0.3274 +2023-12-20 22:44:13,893 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-20 22:44:13,936 - pyskl - INFO - +mean_acc 0.1302 +2023-12-20 22:44:13,948 - pyskl - INFO - Epoch(val) [5][155] top1_acc: 0.1304, top5_acc: 0.3274, mean_class_accuracy: 0.1302 +2023-12-20 22:46:03,507 - pyskl - INFO - Epoch [6][100/1873] lr: 1.994e-01, eta: 1 day, 3:23:29, time: 1.095, data_time: 0.766, memory: 8129, top1_acc: 0.2017, top5_acc: 0.4418, loss_cls: 6.3302, loss: 6.3302 +2023-12-20 22:46:36,369 - pyskl - INFO - Epoch [6][200/1873] lr: 1.994e-01, eta: 1 day, 3:21:14, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2027, top5_acc: 0.4375, loss_cls: 6.3181, loss: 6.3181 +2023-12-20 22:47:09,268 - pyskl - INFO - Epoch [6][300/1873] lr: 1.994e-01, eta: 1 day, 3:19:03, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2069, top5_acc: 0.4424, loss_cls: 6.3141, loss: 6.3141 +2023-12-20 22:47:42,267 - pyskl - INFO - Epoch [6][400/1873] lr: 1.994e-01, eta: 1 day, 3:16:56, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2028, top5_acc: 0.4398, loss_cls: 6.3174, loss: 6.3174 +2023-12-20 22:48:15,075 - pyskl - INFO - Epoch [6][500/1873] lr: 1.994e-01, eta: 1 day, 3:14:47, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2052, top5_acc: 0.4444, loss_cls: 6.2895, loss: 6.2895 +2023-12-20 22:48:48,158 - pyskl - INFO - Epoch [6][600/1873] lr: 1.994e-01, eta: 1 day, 3:12:46, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2147, top5_acc: 0.4470, loss_cls: 6.2782, loss: 6.2782 +2023-12-20 22:49:21,172 - pyskl - INFO - Epoch [6][700/1873] lr: 1.994e-01, eta: 1 day, 3:10:45, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.1984, top5_acc: 0.4332, loss_cls: 6.3325, loss: 6.3325 +2023-12-20 22:49:54,244 - pyskl - INFO - Epoch [6][800/1873] lr: 1.994e-01, eta: 1 day, 3:08:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2065, top5_acc: 0.4446, loss_cls: 6.2958, loss: 6.2958 +2023-12-20 22:50:27,232 - pyskl - INFO - Epoch [6][900/1873] lr: 1.993e-01, eta: 1 day, 3:06:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2081, top5_acc: 0.4514, loss_cls: 6.2552, loss: 6.2552 +2023-12-20 22:51:00,180 - pyskl - INFO - Epoch [6][1000/1873] lr: 1.993e-01, eta: 1 day, 3:04:53, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2045, top5_acc: 0.4474, loss_cls: 6.2516, loss: 6.2516 +2023-12-20 22:51:33,053 - pyskl - INFO - Epoch [6][1100/1873] lr: 1.993e-01, eta: 1 day, 3:02:55, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2148, top5_acc: 0.4491, loss_cls: 6.2404, loss: 6.2404 +2023-12-20 22:52:05,902 - pyskl - INFO - Epoch [6][1200/1873] lr: 1.993e-01, eta: 1 day, 3:00:58, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2123, top5_acc: 0.4496, loss_cls: 6.2464, loss: 6.2464 +2023-12-20 22:52:38,766 - pyskl - INFO - Epoch [6][1300/1873] lr: 1.993e-01, eta: 1 day, 2:59:04, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2079, top5_acc: 0.4501, loss_cls: 6.2773, loss: 6.2773 +2023-12-20 22:53:11,618 - pyskl - INFO - Epoch [6][1400/1873] lr: 1.993e-01, eta: 1 day, 2:57:10, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2082, top5_acc: 0.4508, loss_cls: 6.2574, loss: 6.2574 +2023-12-20 22:53:44,498 - pyskl - INFO - Epoch [6][1500/1873] lr: 1.993e-01, eta: 1 day, 2:55:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2101, top5_acc: 0.4472, loss_cls: 6.2561, loss: 6.2561 +2023-12-20 22:54:17,470 - pyskl - INFO - Epoch [6][1600/1873] lr: 1.992e-01, eta: 1 day, 2:53:31, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2060, top5_acc: 0.4478, loss_cls: 6.2744, loss: 6.2744 +2023-12-20 22:54:50,282 - pyskl - INFO - Epoch [6][1700/1873] lr: 1.992e-01, eta: 1 day, 2:51:41, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2127, top5_acc: 0.4555, loss_cls: 6.2365, loss: 6.2365 +2023-12-20 22:55:22,891 - pyskl - INFO - Epoch [6][1800/1873] lr: 1.992e-01, eta: 1 day, 2:49:47, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.2037, top5_acc: 0.4503, loss_cls: 6.2686, loss: 6.2686 +2023-12-20 22:55:50,361 - pyskl - INFO - Saving checkpoint at 6 epochs +2023-12-20 22:56:34,436 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-20 22:56:35,170 - pyskl - INFO - +top1_acc 0.1331 +top5_acc 0.3341 +2023-12-20 22:56:35,170 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-20 22:56:35,210 - pyskl - INFO - +mean_acc 0.1331 +2023-12-20 22:56:35,221 - pyskl - INFO - Epoch(val) [6][155] top1_acc: 0.1331, top5_acc: 0.3341, mean_class_accuracy: 0.1331 +2023-12-20 22:58:26,240 - pyskl - INFO - Epoch [7][100/1873] lr: 1.992e-01, eta: 1 day, 3:08:12, time: 1.110, data_time: 0.685, memory: 8129, top1_acc: 0.2149, top5_acc: 0.4586, loss_cls: 6.2155, loss: 6.2155 +2023-12-20 22:58:59,502 - pyskl - INFO - Epoch [7][200/1873] lr: 1.992e-01, eta: 1 day, 3:06:26, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2137, top5_acc: 0.4440, loss_cls: 6.2432, loss: 6.2432 +2023-12-20 22:59:32,521 - pyskl - INFO - Epoch [7][300/1873] lr: 1.992e-01, eta: 1 day, 3:04:35, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2074, top5_acc: 0.4392, loss_cls: 6.2740, loss: 6.2740 +2023-12-20 23:00:05,608 - pyskl - INFO - Epoch [7][400/1873] lr: 1.992e-01, eta: 1 day, 3:02:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2140, top5_acc: 0.4545, loss_cls: 6.2153, loss: 6.2153 +2023-12-20 23:00:38,643 - pyskl - INFO - Epoch [7][500/1873] lr: 1.991e-01, eta: 1 day, 3:01:00, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2101, top5_acc: 0.4520, loss_cls: 6.2188, loss: 6.2188 +2023-12-20 23:01:11,793 - pyskl - INFO - Epoch [7][600/1873] lr: 1.991e-01, eta: 1 day, 2:59:16, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2137, top5_acc: 0.4562, loss_cls: 6.1877, loss: 6.1877 +2023-12-20 23:01:44,885 - pyskl - INFO - Epoch [7][700/1873] lr: 1.991e-01, eta: 1 day, 2:57:32, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2134, top5_acc: 0.4509, loss_cls: 6.2017, loss: 6.2017 +2023-12-20 23:02:18,070 - pyskl - INFO - Epoch [7][800/1873] lr: 1.991e-01, eta: 1 day, 2:55:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2128, top5_acc: 0.4502, loss_cls: 6.2206, loss: 6.2206 +2023-12-20 23:02:51,349 - pyskl - INFO - Epoch [7][900/1873] lr: 1.991e-01, eta: 1 day, 2:54:14, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2221, top5_acc: 0.4585, loss_cls: 6.1833, loss: 6.1833 +2023-12-20 23:03:24,557 - pyskl - INFO - Epoch [7][1000/1873] lr: 1.991e-01, eta: 1 day, 2:52:36, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2147, top5_acc: 0.4520, loss_cls: 6.2233, loss: 6.2233 +2023-12-20 23:03:57,661 - pyskl - INFO - Epoch [7][1100/1873] lr: 1.990e-01, eta: 1 day, 2:50:56, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2135, top5_acc: 0.4545, loss_cls: 6.1903, loss: 6.1903 +2023-12-20 23:04:30,828 - pyskl - INFO - Epoch [7][1200/1873] lr: 1.990e-01, eta: 1 day, 2:49:20, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2198, top5_acc: 0.4593, loss_cls: 6.1804, loss: 6.1804 +2023-12-20 23:05:03,982 - pyskl - INFO - Epoch [7][1300/1873] lr: 1.990e-01, eta: 1 day, 2:47:43, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2154, top5_acc: 0.4511, loss_cls: 6.2029, loss: 6.2029 +2023-12-20 23:05:37,144 - pyskl - INFO - Epoch [7][1400/1873] lr: 1.990e-01, eta: 1 day, 2:46:09, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2138, top5_acc: 0.4513, loss_cls: 6.2131, loss: 6.2131 +2023-12-20 23:06:10,125 - pyskl - INFO - Epoch [7][1500/1873] lr: 1.990e-01, eta: 1 day, 2:44:31, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2147, top5_acc: 0.4555, loss_cls: 6.2078, loss: 6.2078 +2023-12-20 23:06:43,238 - pyskl - INFO - Epoch [7][1600/1873] lr: 1.990e-01, eta: 1 day, 2:42:57, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2129, top5_acc: 0.4558, loss_cls: 6.2059, loss: 6.2059 +2023-12-20 23:07:16,400 - pyskl - INFO - Epoch [7][1700/1873] lr: 1.990e-01, eta: 1 day, 2:41:25, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2141, top5_acc: 0.4619, loss_cls: 6.1743, loss: 6.1743 +2023-12-20 23:07:49,208 - pyskl - INFO - Epoch [7][1800/1873] lr: 1.989e-01, eta: 1 day, 2:39:46, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2174, top5_acc: 0.4605, loss_cls: 6.1733, loss: 6.1733 +2023-12-20 23:08:16,348 - pyskl - INFO - Saving checkpoint at 7 epochs +2023-12-20 23:09:01,322 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-20 23:09:02,227 - pyskl - INFO - +top1_acc 0.1510 +top5_acc 0.3482 +2023-12-20 23:09:02,227 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-20 23:09:02,262 - pyskl - INFO - +mean_acc 0.1510 +2023-12-20 23:09:02,270 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_4.pth was removed +2023-12-20 23:09:02,456 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2023-12-20 23:09:02,457 - pyskl - INFO - Best top1_acc is 0.1510 at 7 epoch. +2023-12-20 23:09:02,468 - pyskl - INFO - Epoch(val) [7][155] top1_acc: 0.1510, top5_acc: 0.3482, mean_class_accuracy: 0.1510 +2023-12-20 23:10:46,420 - pyskl - INFO - Epoch [8][100/1873] lr: 1.989e-01, eta: 1 day, 2:52:55, time: 1.039, data_time: 0.664, memory: 8129, top1_acc: 0.2127, top5_acc: 0.4619, loss_cls: 6.1684, loss: 6.1684 +2023-12-20 23:11:19,286 - pyskl - INFO - Epoch [8][200/1873] lr: 1.989e-01, eta: 1 day, 2:51:12, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2155, top5_acc: 0.4536, loss_cls: 6.1708, loss: 6.1708 +2023-12-20 23:11:52,275 - pyskl - INFO - Epoch [8][300/1873] lr: 1.989e-01, eta: 1 day, 2:49:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2189, top5_acc: 0.4592, loss_cls: 6.1488, loss: 6.1488 +2023-12-20 23:12:25,440 - pyskl - INFO - Epoch [8][400/1873] lr: 1.989e-01, eta: 1 day, 2:48:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2195, top5_acc: 0.4590, loss_cls: 6.1684, loss: 6.1684 +2023-12-20 23:12:58,428 - pyskl - INFO - Epoch [8][500/1873] lr: 1.988e-01, eta: 1 day, 2:46:23, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2160, top5_acc: 0.4584, loss_cls: 6.1668, loss: 6.1668 +2023-12-20 23:13:31,648 - pyskl - INFO - Epoch [8][600/1873] lr: 1.988e-01, eta: 1 day, 2:44:52, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2157, top5_acc: 0.4629, loss_cls: 6.1602, loss: 6.1602 +2023-12-20 23:14:04,605 - pyskl - INFO - Epoch [8][700/1873] lr: 1.988e-01, eta: 1 day, 2:43:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2202, top5_acc: 0.4666, loss_cls: 6.1349, loss: 6.1349 +2023-12-20 23:14:37,721 - pyskl - INFO - Epoch [8][800/1873] lr: 1.988e-01, eta: 1 day, 2:41:45, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2248, top5_acc: 0.4684, loss_cls: 6.1411, loss: 6.1411 +2023-12-20 23:15:10,795 - pyskl - INFO - Epoch [8][900/1873] lr: 1.988e-01, eta: 1 day, 2:40:13, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2191, top5_acc: 0.4635, loss_cls: 6.1301, loss: 6.1301 +2023-12-20 23:15:43,934 - pyskl - INFO - Epoch [8][1000/1873] lr: 1.988e-01, eta: 1 day, 2:38:43, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2221, top5_acc: 0.4641, loss_cls: 6.1626, loss: 6.1626 +2023-12-20 23:16:17,004 - pyskl - INFO - Epoch [8][1100/1873] lr: 1.987e-01, eta: 1 day, 2:37:14, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2178, top5_acc: 0.4605, loss_cls: 6.1601, loss: 6.1601 +2023-12-20 23:16:50,027 - pyskl - INFO - Epoch [8][1200/1873] lr: 1.987e-01, eta: 1 day, 2:35:43, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2187, top5_acc: 0.4608, loss_cls: 6.1419, loss: 6.1419 +2023-12-20 23:17:22,920 - pyskl - INFO - Epoch [8][1300/1873] lr: 1.987e-01, eta: 1 day, 2:34:12, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2173, top5_acc: 0.4573, loss_cls: 6.1434, loss: 6.1434 +2023-12-20 23:17:55,872 - pyskl - INFO - Epoch [8][1400/1873] lr: 1.987e-01, eta: 1 day, 2:32:42, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2189, top5_acc: 0.4595, loss_cls: 6.1315, loss: 6.1315 +2023-12-20 23:18:28,667 - pyskl - INFO - Epoch [8][1500/1873] lr: 1.987e-01, eta: 1 day, 2:31:10, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2232, top5_acc: 0.4562, loss_cls: 6.1358, loss: 6.1358 +2023-12-20 23:19:01,712 - pyskl - INFO - Epoch [8][1600/1873] lr: 1.987e-01, eta: 1 day, 2:29:43, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2222, top5_acc: 0.4614, loss_cls: 6.1474, loss: 6.1474 +2023-12-20 23:19:34,723 - pyskl - INFO - Epoch [8][1700/1873] lr: 1.986e-01, eta: 1 day, 2:28:17, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2226, top5_acc: 0.4648, loss_cls: 6.1322, loss: 6.1322 +2023-12-20 23:20:07,168 - pyskl - INFO - Epoch [8][1800/1873] lr: 1.986e-01, eta: 1 day, 2:26:41, time: 0.324, data_time: 0.000, memory: 8129, top1_acc: 0.2216, top5_acc: 0.4638, loss_cls: 6.1271, loss: 6.1271 +2023-12-20 23:20:34,938 - pyskl - INFO - Saving checkpoint at 8 epochs +2023-12-20 23:21:21,226 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-20 23:21:21,967 - pyskl - INFO - +top1_acc 0.1334 +top5_acc 0.3359 +2023-12-20 23:21:21,967 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-20 23:21:22,002 - pyskl - INFO - +mean_acc 0.1334 +2023-12-20 23:21:22,012 - pyskl - INFO - Epoch(val) [8][155] top1_acc: 0.1334, top5_acc: 0.3359, mean_class_accuracy: 0.1334 +2023-12-20 23:23:07,589 - pyskl - INFO - Epoch [9][100/1873] lr: 1.986e-01, eta: 1 day, 2:38:29, time: 1.056, data_time: 0.683, memory: 8129, top1_acc: 0.2175, top5_acc: 0.4655, loss_cls: 6.1394, loss: 6.1394 +2023-12-20 23:23:40,783 - pyskl - INFO - Epoch [9][200/1873] lr: 1.986e-01, eta: 1 day, 2:37:02, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2261, top5_acc: 0.4750, loss_cls: 6.0794, loss: 6.0794 +2023-12-20 23:24:13,970 - pyskl - INFO - Epoch [9][300/1873] lr: 1.985e-01, eta: 1 day, 2:35:37, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2253, top5_acc: 0.4681, loss_cls: 6.1083, loss: 6.1083 +2023-12-20 23:24:47,204 - pyskl - INFO - Epoch [9][400/1873] lr: 1.985e-01, eta: 1 day, 2:34:12, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2234, top5_acc: 0.4643, loss_cls: 6.1096, loss: 6.1096 +2023-12-20 23:25:20,497 - pyskl - INFO - Epoch [9][500/1873] lr: 1.985e-01, eta: 1 day, 2:32:49, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2214, top5_acc: 0.4618, loss_cls: 6.1246, loss: 6.1246 +2023-12-20 23:25:53,600 - pyskl - INFO - Epoch [9][600/1873] lr: 1.985e-01, eta: 1 day, 2:31:24, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2152, top5_acc: 0.4583, loss_cls: 6.1356, loss: 6.1356 +2023-12-20 23:26:26,603 - pyskl - INFO - Epoch [9][700/1873] lr: 1.985e-01, eta: 1 day, 2:29:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2277, top5_acc: 0.4721, loss_cls: 6.0701, loss: 6.0701 +2023-12-20 23:26:59,709 - pyskl - INFO - Epoch [9][800/1873] lr: 1.984e-01, eta: 1 day, 2:28:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2266, top5_acc: 0.4705, loss_cls: 6.0905, loss: 6.0905 +2023-12-20 23:27:32,851 - pyskl - INFO - Epoch [9][900/1873] lr: 1.984e-01, eta: 1 day, 2:27:11, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2220, top5_acc: 0.4641, loss_cls: 6.0990, loss: 6.0990 +2023-12-20 23:28:06,102 - pyskl - INFO - Epoch [9][1000/1873] lr: 1.984e-01, eta: 1 day, 2:25:50, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2198, top5_acc: 0.4636, loss_cls: 6.1160, loss: 6.1160 +2023-12-20 23:28:39,203 - pyskl - INFO - Epoch [9][1100/1873] lr: 1.984e-01, eta: 1 day, 2:24:28, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2263, top5_acc: 0.4731, loss_cls: 6.0809, loss: 6.0809 +2023-12-20 23:29:12,393 - pyskl - INFO - Epoch [9][1200/1873] lr: 1.984e-01, eta: 1 day, 2:23:08, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2352, top5_acc: 0.4658, loss_cls: 6.0936, loss: 6.0936 +2023-12-20 23:29:45,670 - pyskl - INFO - Epoch [9][1300/1873] lr: 1.983e-01, eta: 1 day, 2:21:50, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2238, top5_acc: 0.4627, loss_cls: 6.1273, loss: 6.1273 +2023-12-20 23:30:18,942 - pyskl - INFO - Epoch [9][1400/1873] lr: 1.983e-01, eta: 1 day, 2:20:32, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2225, top5_acc: 0.4656, loss_cls: 6.1029, loss: 6.1029 +2023-12-20 23:30:52,204 - pyskl - INFO - Epoch [9][1500/1873] lr: 1.983e-01, eta: 1 day, 2:19:15, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2243, top5_acc: 0.4650, loss_cls: 6.1268, loss: 6.1268 +2023-12-20 23:31:25,451 - pyskl - INFO - Epoch [9][1600/1873] lr: 1.983e-01, eta: 1 day, 2:17:58, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2229, top5_acc: 0.4639, loss_cls: 6.1010, loss: 6.1010 +2023-12-20 23:31:58,769 - pyskl - INFO - Epoch [9][1700/1873] lr: 1.983e-01, eta: 1 day, 2:16:43, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2274, top5_acc: 0.4684, loss_cls: 6.0981, loss: 6.0981 +2023-12-20 23:32:31,460 - pyskl - INFO - Epoch [9][1800/1873] lr: 1.982e-01, eta: 1 day, 2:15:18, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2349, top5_acc: 0.4771, loss_cls: 6.0498, loss: 6.0498 +2023-12-20 23:32:59,154 - pyskl - INFO - Saving checkpoint at 9 epochs +2023-12-20 23:33:46,070 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-20 23:33:47,118 - pyskl - INFO - +top1_acc 0.1528 +top5_acc 0.3693 +2023-12-20 23:33:47,119 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-20 23:33:47,164 - pyskl - INFO - +mean_acc 0.1525 +2023-12-20 23:33:47,171 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_7.pth was removed +2023-12-20 23:33:47,408 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2023-12-20 23:33:47,409 - pyskl - INFO - Best top1_acc is 0.1528 at 9 epoch. +2023-12-20 23:33:47,426 - pyskl - INFO - Epoch(val) [9][155] top1_acc: 0.1528, top5_acc: 0.3693, mean_class_accuracy: 0.1525 +2023-12-20 23:35:32,172 - pyskl - INFO - Epoch [10][100/1873] lr: 1.982e-01, eta: 1 day, 2:25:23, time: 1.047, data_time: 0.716, memory: 8129, top1_acc: 0.2273, top5_acc: 0.4695, loss_cls: 6.0784, loss: 6.0784 +2023-12-20 23:36:05,216 - pyskl - INFO - Epoch [10][200/1873] lr: 1.982e-01, eta: 1 day, 2:24:01, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2278, top5_acc: 0.4746, loss_cls: 6.0608, loss: 6.0608 +2023-12-20 23:36:38,327 - pyskl - INFO - Epoch [10][300/1873] lr: 1.982e-01, eta: 1 day, 2:22:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2305, top5_acc: 0.4680, loss_cls: 6.0713, loss: 6.0713 +2023-12-20 23:37:11,498 - pyskl - INFO - Epoch [10][400/1873] lr: 1.981e-01, eta: 1 day, 2:21:21, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2280, top5_acc: 0.4727, loss_cls: 6.0766, loss: 6.0766 +2023-12-20 23:37:44,755 - pyskl - INFO - Epoch [10][500/1873] lr: 1.981e-01, eta: 1 day, 2:20:03, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2231, top5_acc: 0.4641, loss_cls: 6.0838, loss: 6.0838 +2023-12-20 23:38:17,856 - pyskl - INFO - Epoch [10][600/1873] lr: 1.981e-01, eta: 1 day, 2:18:44, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2282, top5_acc: 0.4746, loss_cls: 6.0548, loss: 6.0548 +2023-12-20 23:38:51,043 - pyskl - INFO - Epoch [10][700/1873] lr: 1.981e-01, eta: 1 day, 2:17:27, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2330, top5_acc: 0.4723, loss_cls: 6.0445, loss: 6.0445 +2023-12-20 23:39:24,253 - pyskl - INFO - Epoch [10][800/1873] lr: 1.981e-01, eta: 1 day, 2:16:10, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2237, top5_acc: 0.4708, loss_cls: 6.0698, loss: 6.0698 +2023-12-20 23:39:57,417 - pyskl - INFO - Epoch [10][900/1873] lr: 1.980e-01, eta: 1 day, 2:14:53, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2279, top5_acc: 0.4685, loss_cls: 6.0791, loss: 6.0791 +2023-12-20 23:40:30,442 - pyskl - INFO - Epoch [10][1000/1873] lr: 1.980e-01, eta: 1 day, 2:13:35, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2209, top5_acc: 0.4659, loss_cls: 6.0992, loss: 6.0992 +2023-12-20 23:41:03,655 - pyskl - INFO - Epoch [10][1100/1873] lr: 1.980e-01, eta: 1 day, 2:12:20, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2352, top5_acc: 0.4725, loss_cls: 6.0465, loss: 6.0465 +2023-12-20 23:41:36,875 - pyskl - INFO - Epoch [10][1200/1873] lr: 1.980e-01, eta: 1 day, 2:11:05, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2261, top5_acc: 0.4713, loss_cls: 6.0545, loss: 6.0545 +2023-12-20 23:42:09,893 - pyskl - INFO - Epoch [10][1300/1873] lr: 1.979e-01, eta: 1 day, 2:09:48, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2272, top5_acc: 0.4720, loss_cls: 6.0548, loss: 6.0548 +2023-12-20 23:42:43,003 - pyskl - INFO - Epoch [10][1400/1873] lr: 1.979e-01, eta: 1 day, 2:08:33, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2345, top5_acc: 0.4647, loss_cls: 6.0711, loss: 6.0711 +2023-12-20 23:43:16,171 - pyskl - INFO - Epoch [10][1500/1873] lr: 1.979e-01, eta: 1 day, 2:07:19, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2346, top5_acc: 0.4770, loss_cls: 6.0290, loss: 6.0290 +2023-12-20 23:43:49,295 - pyskl - INFO - Epoch [10][1600/1873] lr: 1.979e-01, eta: 1 day, 2:06:05, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2223, top5_acc: 0.4709, loss_cls: 6.0761, loss: 6.0761 +2023-12-20 23:44:22,307 - pyskl - INFO - Epoch [10][1700/1873] lr: 1.979e-01, eta: 1 day, 2:04:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2255, top5_acc: 0.4670, loss_cls: 6.0871, loss: 6.0871 +2023-12-20 23:44:54,860 - pyskl - INFO - Epoch [10][1800/1873] lr: 1.978e-01, eta: 1 day, 2:03:29, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.2280, top5_acc: 0.4671, loss_cls: 6.0714, loss: 6.0714 +2023-12-20 23:45:22,508 - pyskl - INFO - Saving checkpoint at 10 epochs +2023-12-20 23:46:08,526 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-20 23:46:09,573 - pyskl - INFO - +top1_acc 0.1488 +top5_acc 0.3581 +2023-12-20 23:46:09,573 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-20 23:46:09,616 - pyskl - INFO - +mean_acc 0.1487 +2023-12-20 23:46:09,627 - pyskl - INFO - Epoch(val) [10][155] top1_acc: 0.1488, top5_acc: 0.3581, mean_class_accuracy: 0.1487 +2023-12-20 23:47:53,107 - pyskl - INFO - Epoch [11][100/1873] lr: 1.978e-01, eta: 1 day, 2:12:06, time: 1.035, data_time: 0.704, memory: 8129, top1_acc: 0.2317, top5_acc: 0.4788, loss_cls: 6.0237, loss: 6.0237 +2023-12-20 23:48:26,191 - pyskl - INFO - Epoch [11][200/1873] lr: 1.978e-01, eta: 1 day, 2:10:50, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2274, top5_acc: 0.4688, loss_cls: 6.0556, loss: 6.0556 +2023-12-20 23:48:59,312 - pyskl - INFO - Epoch [11][300/1873] lr: 1.977e-01, eta: 1 day, 2:09:35, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2328, top5_acc: 0.4810, loss_cls: 6.0105, loss: 6.0105 +2023-12-20 23:49:32,213 - pyskl - INFO - Epoch [11][400/1873] lr: 1.977e-01, eta: 1 day, 2:08:17, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2370, top5_acc: 0.4764, loss_cls: 6.0535, loss: 6.0535 +2023-12-20 23:50:05,262 - pyskl - INFO - Epoch [11][500/1873] lr: 1.977e-01, eta: 1 day, 2:07:02, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2334, top5_acc: 0.4757, loss_cls: 6.0283, loss: 6.0283 +2023-12-20 23:50:38,494 - pyskl - INFO - Epoch [11][600/1873] lr: 1.977e-01, eta: 1 day, 2:05:49, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2316, top5_acc: 0.4738, loss_cls: 6.0409, loss: 6.0409 +2023-12-20 23:51:11,447 - pyskl - INFO - Epoch [11][700/1873] lr: 1.976e-01, eta: 1 day, 2:04:33, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2330, top5_acc: 0.4761, loss_cls: 6.0197, loss: 6.0197 +2023-12-20 23:51:44,527 - pyskl - INFO - Epoch [11][800/1873] lr: 1.976e-01, eta: 1 day, 2:03:20, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2291, top5_acc: 0.4705, loss_cls: 6.0662, loss: 6.0662 +2023-12-20 23:52:17,692 - pyskl - INFO - Epoch [11][900/1873] lr: 1.976e-01, eta: 1 day, 2:02:08, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2346, top5_acc: 0.4769, loss_cls: 6.0199, loss: 6.0199 +2023-12-20 23:52:50,772 - pyskl - INFO - Epoch [11][1000/1873] lr: 1.976e-01, eta: 1 day, 2:00:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2326, top5_acc: 0.4753, loss_cls: 6.0231, loss: 6.0231 +2023-12-20 23:53:23,792 - pyskl - INFO - Epoch [11][1100/1873] lr: 1.976e-01, eta: 1 day, 1:59:42, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2332, top5_acc: 0.4765, loss_cls: 6.0230, loss: 6.0230 +2023-12-20 23:53:56,763 - pyskl - INFO - Epoch [11][1200/1873] lr: 1.975e-01, eta: 1 day, 1:58:28, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2295, top5_acc: 0.4717, loss_cls: 6.0436, loss: 6.0436 +2023-12-20 23:54:29,752 - pyskl - INFO - Epoch [11][1300/1873] lr: 1.975e-01, eta: 1 day, 1:57:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2289, top5_acc: 0.4761, loss_cls: 6.0284, loss: 6.0284 +2023-12-20 23:55:02,839 - pyskl - INFO - Epoch [11][1400/1873] lr: 1.975e-01, eta: 1 day, 1:56:04, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2330, top5_acc: 0.4680, loss_cls: 6.0418, loss: 6.0418 +2023-12-20 23:55:35,927 - pyskl - INFO - Epoch [11][1500/1873] lr: 1.975e-01, eta: 1 day, 1:54:54, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2321, top5_acc: 0.4740, loss_cls: 6.0510, loss: 6.0510 +2023-12-20 23:56:09,182 - pyskl - INFO - Epoch [11][1600/1873] lr: 1.974e-01, eta: 1 day, 1:53:46, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2337, top5_acc: 0.4764, loss_cls: 6.0202, loss: 6.0202 +2023-12-20 23:56:42,449 - pyskl - INFO - Epoch [11][1700/1873] lr: 1.974e-01, eta: 1 day, 1:52:38, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2284, top5_acc: 0.4667, loss_cls: 6.0834, loss: 6.0834 +2023-12-20 23:57:15,375 - pyskl - INFO - Epoch [11][1800/1873] lr: 1.974e-01, eta: 1 day, 1:51:26, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2298, top5_acc: 0.4773, loss_cls: 6.0491, loss: 6.0491 +2023-12-20 23:57:42,499 - pyskl - INFO - Saving checkpoint at 11 epochs +2023-12-20 23:58:29,153 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-20 23:58:30,224 - pyskl - INFO - +top1_acc 0.1531 +top5_acc 0.3620 +2023-12-20 23:58:30,224 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-20 23:58:30,270 - pyskl - INFO - +mean_acc 0.1528 +2023-12-20 23:58:30,276 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_9.pth was removed +2023-12-20 23:58:30,511 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2023-12-20 23:58:30,512 - pyskl - INFO - Best top1_acc is 0.1531 at 11 epoch. +2023-12-20 23:58:30,523 - pyskl - INFO - Epoch(val) [11][155] top1_acc: 0.1531, top5_acc: 0.3620, mean_class_accuracy: 0.1528 +2023-12-21 00:00:17,378 - pyskl - INFO - Epoch [12][100/1873] lr: 1.973e-01, eta: 1 day, 1:59:50, time: 1.068, data_time: 0.694, memory: 8129, top1_acc: 0.2257, top5_acc: 0.4770, loss_cls: 6.0100, loss: 6.0100 +2023-12-21 00:00:50,564 - pyskl - INFO - Epoch [12][200/1873] lr: 1.973e-01, eta: 1 day, 1:58:39, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2333, top5_acc: 0.4778, loss_cls: 5.9931, loss: 5.9931 +2023-12-21 00:01:23,680 - pyskl - INFO - Epoch [12][300/1873] lr: 1.973e-01, eta: 1 day, 1:57:28, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2323, top5_acc: 0.4816, loss_cls: 6.0054, loss: 6.0054 +2023-12-21 00:01:56,738 - pyskl - INFO - Epoch [12][400/1873] lr: 1.973e-01, eta: 1 day, 1:56:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2351, top5_acc: 0.4789, loss_cls: 6.0205, loss: 6.0205 +2023-12-21 00:02:29,782 - pyskl - INFO - Epoch [12][500/1873] lr: 1.972e-01, eta: 1 day, 1:55:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2284, top5_acc: 0.4666, loss_cls: 6.0584, loss: 6.0584 +2023-12-21 00:03:02,803 - pyskl - INFO - Epoch [12][600/1873] lr: 1.972e-01, eta: 1 day, 1:53:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2267, top5_acc: 0.4791, loss_cls: 6.0312, loss: 6.0312 +2023-12-21 00:03:35,862 - pyskl - INFO - Epoch [12][700/1873] lr: 1.972e-01, eta: 1 day, 1:52:43, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2340, top5_acc: 0.4801, loss_cls: 6.0103, loss: 6.0103 +2023-12-21 00:04:08,992 - pyskl - INFO - Epoch [12][800/1873] lr: 1.971e-01, eta: 1 day, 1:51:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2286, top5_acc: 0.4747, loss_cls: 6.0223, loss: 6.0223 +2023-12-21 00:04:42,110 - pyskl - INFO - Epoch [12][900/1873] lr: 1.971e-01, eta: 1 day, 1:50:25, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2351, top5_acc: 0.4785, loss_cls: 6.0144, loss: 6.0144 +2023-12-21 00:05:15,291 - pyskl - INFO - Epoch [12][1000/1873] lr: 1.971e-01, eta: 1 day, 1:49:17, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2304, top5_acc: 0.4760, loss_cls: 6.0269, loss: 6.0269 +2023-12-21 00:05:48,259 - pyskl - INFO - Epoch [12][1100/1873] lr: 1.971e-01, eta: 1 day, 1:48:07, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2352, top5_acc: 0.4770, loss_cls: 5.9971, loss: 5.9971 +2023-12-21 00:06:21,402 - pyskl - INFO - Epoch [12][1200/1873] lr: 1.970e-01, eta: 1 day, 1:46:59, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2355, top5_acc: 0.4786, loss_cls: 6.0067, loss: 6.0067 +2023-12-21 00:06:54,423 - pyskl - INFO - Epoch [12][1300/1873] lr: 1.970e-01, eta: 1 day, 1:45:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2363, top5_acc: 0.4785, loss_cls: 5.9861, loss: 5.9861 +2023-12-21 00:07:27,565 - pyskl - INFO - Epoch [12][1400/1873] lr: 1.970e-01, eta: 1 day, 1:44:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2277, top5_acc: 0.4759, loss_cls: 6.0403, loss: 6.0403 +2023-12-21 00:08:00,694 - pyskl - INFO - Epoch [12][1500/1873] lr: 1.970e-01, eta: 1 day, 1:43:36, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2362, top5_acc: 0.4793, loss_cls: 6.0089, loss: 6.0089 +2023-12-21 00:08:33,747 - pyskl - INFO - Epoch [12][1600/1873] lr: 1.969e-01, eta: 1 day, 1:42:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2272, top5_acc: 0.4741, loss_cls: 6.0385, loss: 6.0385 +2023-12-21 00:09:06,889 - pyskl - INFO - Epoch [12][1700/1873] lr: 1.969e-01, eta: 1 day, 1:41:22, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2338, top5_acc: 0.4761, loss_cls: 6.0158, loss: 6.0158 +2023-12-21 00:09:39,644 - pyskl - INFO - Epoch [12][1800/1873] lr: 1.969e-01, eta: 1 day, 1:40:12, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2357, top5_acc: 0.4834, loss_cls: 5.9785, loss: 5.9785 +2023-12-21 00:10:07,301 - pyskl - INFO - Saving checkpoint at 12 epochs +2023-12-21 00:10:52,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 00:10:53,574 - pyskl - INFO - +top1_acc 0.1650 +top5_acc 0.3821 +2023-12-21 00:10:53,574 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 00:10:53,612 - pyskl - INFO - +mean_acc 0.1647 +2023-12-21 00:10:53,617 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_11.pth was removed +2023-12-21 00:10:53,800 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2023-12-21 00:10:53,801 - pyskl - INFO - Best top1_acc is 0.1650 at 12 epoch. +2023-12-21 00:10:53,811 - pyskl - INFO - Epoch(val) [12][155] top1_acc: 0.1650, top5_acc: 0.3821, mean_class_accuracy: 0.1647 +2023-12-21 00:12:36,545 - pyskl - INFO - Epoch [13][100/1873] lr: 1.968e-01, eta: 1 day, 1:46:58, time: 1.027, data_time: 0.682, memory: 8129, top1_acc: 0.2397, top5_acc: 0.4911, loss_cls: 5.9777, loss: 5.9777 +2023-12-21 00:13:09,518 - pyskl - INFO - Epoch [13][200/1873] lr: 1.968e-01, eta: 1 day, 1:45:48, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2393, top5_acc: 0.4865, loss_cls: 5.9587, loss: 5.9587 +2023-12-21 00:13:42,640 - pyskl - INFO - Epoch [13][300/1873] lr: 1.968e-01, eta: 1 day, 1:44:41, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2365, top5_acc: 0.4836, loss_cls: 5.9815, loss: 5.9815 +2023-12-21 00:14:15,759 - pyskl - INFO - Epoch [13][400/1873] lr: 1.967e-01, eta: 1 day, 1:43:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2432, top5_acc: 0.4870, loss_cls: 5.9667, loss: 5.9667 +2023-12-21 00:14:48,902 - pyskl - INFO - Epoch [13][500/1873] lr: 1.967e-01, eta: 1 day, 1:42:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2376, top5_acc: 0.4839, loss_cls: 5.9727, loss: 5.9727 +2023-12-21 00:15:22,028 - pyskl - INFO - Epoch [13][600/1873] lr: 1.967e-01, eta: 1 day, 1:41:20, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2341, top5_acc: 0.4781, loss_cls: 6.0089, loss: 6.0089 +2023-12-21 00:15:55,155 - pyskl - INFO - Epoch [13][700/1873] lr: 1.967e-01, eta: 1 day, 1:40:14, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2352, top5_acc: 0.4781, loss_cls: 5.9965, loss: 5.9965 +2023-12-21 00:16:28,114 - pyskl - INFO - Epoch [13][800/1873] lr: 1.966e-01, eta: 1 day, 1:39:06, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2337, top5_acc: 0.4834, loss_cls: 5.9870, loss: 5.9870 +2023-12-21 00:17:01,297 - pyskl - INFO - Epoch [13][900/1873] lr: 1.966e-01, eta: 1 day, 1:38:01, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2324, top5_acc: 0.4799, loss_cls: 5.9843, loss: 5.9843 +2023-12-21 00:17:34,543 - pyskl - INFO - Epoch [13][1000/1873] lr: 1.966e-01, eta: 1 day, 1:36:57, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2353, top5_acc: 0.4738, loss_cls: 6.0178, loss: 6.0178 +2023-12-21 00:18:07,726 - pyskl - INFO - Epoch [13][1100/1873] lr: 1.965e-01, eta: 1 day, 1:35:52, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2390, top5_acc: 0.4832, loss_cls: 5.9928, loss: 5.9928 +2023-12-21 00:18:40,867 - pyskl - INFO - Epoch [13][1200/1873] lr: 1.965e-01, eta: 1 day, 1:34:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2377, top5_acc: 0.4784, loss_cls: 5.9876, loss: 5.9876 +2023-12-21 00:19:13,889 - pyskl - INFO - Epoch [13][1300/1873] lr: 1.965e-01, eta: 1 day, 1:33:42, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2317, top5_acc: 0.4783, loss_cls: 5.9908, loss: 5.9908 +2023-12-21 00:19:47,050 - pyskl - INFO - Epoch [13][1400/1873] lr: 1.965e-01, eta: 1 day, 1:32:38, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2311, top5_acc: 0.4737, loss_cls: 6.0114, loss: 6.0114 +2023-12-21 00:20:20,246 - pyskl - INFO - Epoch [13][1500/1873] lr: 1.964e-01, eta: 1 day, 1:31:34, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2391, top5_acc: 0.4780, loss_cls: 6.0010, loss: 6.0010 +2023-12-21 00:20:53,226 - pyskl - INFO - Epoch [13][1600/1873] lr: 1.964e-01, eta: 1 day, 1:30:29, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2335, top5_acc: 0.4770, loss_cls: 5.9942, loss: 5.9942 +2023-12-21 00:21:26,506 - pyskl - INFO - Epoch [13][1700/1873] lr: 1.964e-01, eta: 1 day, 1:29:27, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2365, top5_acc: 0.4848, loss_cls: 5.9720, loss: 5.9720 +2023-12-21 00:21:59,472 - pyskl - INFO - Epoch [13][1800/1873] lr: 1.963e-01, eta: 1 day, 1:28:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2316, top5_acc: 0.4746, loss_cls: 6.0203, loss: 6.0203 +2023-12-21 00:22:27,556 - pyskl - INFO - Saving checkpoint at 13 epochs +2023-12-21 00:23:12,811 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 00:23:13,524 - pyskl - INFO - +top1_acc 0.1603 +top5_acc 0.3740 +2023-12-21 00:23:13,524 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 00:23:13,562 - pyskl - INFO - +mean_acc 0.1601 +2023-12-21 00:23:13,573 - pyskl - INFO - Epoch(val) [13][155] top1_acc: 0.1603, top5_acc: 0.3740, mean_class_accuracy: 0.1601 +2023-12-21 00:24:58,224 - pyskl - INFO - Epoch [14][100/1873] lr: 1.963e-01, eta: 1 day, 1:34:49, time: 1.046, data_time: 0.676, memory: 8129, top1_acc: 0.2434, top5_acc: 0.4900, loss_cls: 5.9312, loss: 5.9312 +2023-12-21 00:25:31,393 - pyskl - INFO - Epoch [14][200/1873] lr: 1.963e-01, eta: 1 day, 1:33:45, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2325, top5_acc: 0.4744, loss_cls: 6.0023, loss: 6.0023 +2023-12-21 00:26:04,403 - pyskl - INFO - Epoch [14][300/1873] lr: 1.962e-01, eta: 1 day, 1:32:39, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2389, top5_acc: 0.4827, loss_cls: 5.9779, loss: 5.9779 +2023-12-21 00:26:37,540 - pyskl - INFO - Epoch [14][400/1873] lr: 1.962e-01, eta: 1 day, 1:31:35, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2374, top5_acc: 0.4802, loss_cls: 5.9801, loss: 5.9801 +2023-12-21 00:27:10,598 - pyskl - INFO - Epoch [14][500/1873] lr: 1.962e-01, eta: 1 day, 1:30:30, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2391, top5_acc: 0.4838, loss_cls: 5.9824, loss: 5.9824 +2023-12-21 00:27:43,896 - pyskl - INFO - Epoch [14][600/1873] lr: 1.961e-01, eta: 1 day, 1:29:28, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2388, top5_acc: 0.4834, loss_cls: 5.9706, loss: 5.9706 +2023-12-21 00:28:17,087 - pyskl - INFO - Epoch [14][700/1873] lr: 1.961e-01, eta: 1 day, 1:28:25, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2391, top5_acc: 0.4836, loss_cls: 5.9578, loss: 5.9578 +2023-12-21 00:28:50,275 - pyskl - INFO - Epoch [14][800/1873] lr: 1.961e-01, eta: 1 day, 1:27:22, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2332, top5_acc: 0.4743, loss_cls: 6.0064, loss: 6.0064 +2023-12-21 00:29:23,417 - pyskl - INFO - Epoch [14][900/1873] lr: 1.960e-01, eta: 1 day, 1:26:19, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2431, top5_acc: 0.4834, loss_cls: 5.9587, loss: 5.9587 +2023-12-21 00:29:56,558 - pyskl - INFO - Epoch [14][1000/1873] lr: 1.960e-01, eta: 1 day, 1:25:16, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2434, top5_acc: 0.4827, loss_cls: 5.9552, loss: 5.9552 +2023-12-21 00:30:29,796 - pyskl - INFO - Epoch [14][1100/1873] lr: 1.960e-01, eta: 1 day, 1:24:15, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2377, top5_acc: 0.4859, loss_cls: 5.9687, loss: 5.9687 +2023-12-21 00:31:03,072 - pyskl - INFO - Epoch [14][1200/1873] lr: 1.959e-01, eta: 1 day, 1:23:14, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2359, top5_acc: 0.4809, loss_cls: 5.9882, loss: 5.9882 +2023-12-21 00:31:36,436 - pyskl - INFO - Epoch [14][1300/1873] lr: 1.959e-01, eta: 1 day, 1:22:14, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2387, top5_acc: 0.4852, loss_cls: 5.9723, loss: 5.9723 +2023-12-21 00:32:09,485 - pyskl - INFO - Epoch [14][1400/1873] lr: 1.959e-01, eta: 1 day, 1:21:11, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2359, top5_acc: 0.4792, loss_cls: 5.9956, loss: 5.9956 +2023-12-21 00:32:42,821 - pyskl - INFO - Epoch [14][1500/1873] lr: 1.959e-01, eta: 1 day, 1:20:11, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2435, top5_acc: 0.4833, loss_cls: 5.9755, loss: 5.9755 +2023-12-21 00:33:15,915 - pyskl - INFO - Epoch [14][1600/1873] lr: 1.958e-01, eta: 1 day, 1:19:09, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2305, top5_acc: 0.4781, loss_cls: 6.0095, loss: 6.0095 +2023-12-21 00:33:49,185 - pyskl - INFO - Epoch [14][1700/1873] lr: 1.958e-01, eta: 1 day, 1:18:09, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2373, top5_acc: 0.4798, loss_cls: 5.9879, loss: 5.9879 +2023-12-21 00:34:22,257 - pyskl - INFO - Epoch [14][1800/1873] lr: 1.958e-01, eta: 1 day, 1:17:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2443, top5_acc: 0.4852, loss_cls: 5.9665, loss: 5.9665 +2023-12-21 00:34:50,471 - pyskl - INFO - Saving checkpoint at 14 epochs +2023-12-21 00:35:36,361 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 00:35:37,421 - pyskl - INFO - +top1_acc 0.1722 +top5_acc 0.3882 +2023-12-21 00:35:37,421 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 00:35:37,463 - pyskl - INFO - +mean_acc 0.1719 +2023-12-21 00:35:37,470 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_12.pth was removed +2023-12-21 00:35:37,699 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. +2023-12-21 00:35:37,699 - pyskl - INFO - Best top1_acc is 0.1722 at 14 epoch. +2023-12-21 00:35:37,710 - pyskl - INFO - Epoch(val) [14][155] top1_acc: 0.1722, top5_acc: 0.3882, mean_class_accuracy: 0.1719 +2023-12-21 00:37:24,726 - pyskl - INFO - Epoch [15][100/1873] lr: 1.957e-01, eta: 1 day, 1:23:23, time: 1.070, data_time: 0.705, memory: 8129, top1_acc: 0.2384, top5_acc: 0.4866, loss_cls: 5.9607, loss: 5.9607 +2023-12-21 00:37:57,600 - pyskl - INFO - Epoch [15][200/1873] lr: 1.957e-01, eta: 1 day, 1:22:18, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2342, top5_acc: 0.4864, loss_cls: 5.9509, loss: 5.9509 +2023-12-21 00:38:30,615 - pyskl - INFO - Epoch [15][300/1873] lr: 1.956e-01, eta: 1 day, 1:21:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2432, top5_acc: 0.4852, loss_cls: 5.9550, loss: 5.9550 +2023-12-21 00:39:03,765 - pyskl - INFO - Epoch [15][400/1873] lr: 1.956e-01, eta: 1 day, 1:20:13, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2469, top5_acc: 0.4936, loss_cls: 5.9230, loss: 5.9230 +2023-12-21 00:39:36,874 - pyskl - INFO - Epoch [15][500/1873] lr: 1.956e-01, eta: 1 day, 1:19:11, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2378, top5_acc: 0.4756, loss_cls: 5.9927, loss: 5.9927 +2023-12-21 00:40:09,813 - pyskl - INFO - Epoch [15][600/1873] lr: 1.955e-01, eta: 1 day, 1:18:07, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2402, top5_acc: 0.4860, loss_cls: 5.9628, loss: 5.9628 +2023-12-21 00:40:42,919 - pyskl - INFO - Epoch [15][700/1873] lr: 1.955e-01, eta: 1 day, 1:17:05, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2330, top5_acc: 0.4845, loss_cls: 5.9805, loss: 5.9805 +2023-12-21 00:41:15,953 - pyskl - INFO - Epoch [15][800/1873] lr: 1.955e-01, eta: 1 day, 1:16:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2412, top5_acc: 0.4870, loss_cls: 5.9533, loss: 5.9533 +2023-12-21 00:41:48,969 - pyskl - INFO - Epoch [15][900/1873] lr: 1.954e-01, eta: 1 day, 1:15:01, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2386, top5_acc: 0.4842, loss_cls: 5.9729, loss: 5.9729 +2023-12-21 00:42:21,965 - pyskl - INFO - Epoch [15][1000/1873] lr: 1.954e-01, eta: 1 day, 1:13:59, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2348, top5_acc: 0.4848, loss_cls: 5.9583, loss: 5.9583 +2023-12-21 00:42:55,035 - pyskl - INFO - Epoch [15][1100/1873] lr: 1.954e-01, eta: 1 day, 1:12:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2434, top5_acc: 0.4852, loss_cls: 5.9558, loss: 5.9558 +2023-12-21 00:43:28,204 - pyskl - INFO - Epoch [15][1200/1873] lr: 1.953e-01, eta: 1 day, 1:11:58, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2476, top5_acc: 0.4908, loss_cls: 5.9359, loss: 5.9359 +2023-12-21 00:44:01,282 - pyskl - INFO - Epoch [15][1300/1873] lr: 1.953e-01, eta: 1 day, 1:10:57, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2316, top5_acc: 0.4805, loss_cls: 5.9840, loss: 5.9840 +2023-12-21 00:44:34,451 - pyskl - INFO - Epoch [15][1400/1873] lr: 1.953e-01, eta: 1 day, 1:09:58, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2402, top5_acc: 0.4883, loss_cls: 5.9614, loss: 5.9614 +2023-12-21 00:45:07,597 - pyskl - INFO - Epoch [15][1500/1873] lr: 1.952e-01, eta: 1 day, 1:08:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2371, top5_acc: 0.4834, loss_cls: 5.9760, loss: 5.9760 +2023-12-21 00:45:40,643 - pyskl - INFO - Epoch [15][1600/1873] lr: 1.952e-01, eta: 1 day, 1:07:57, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2366, top5_acc: 0.4770, loss_cls: 5.9906, loss: 5.9906 +2023-12-21 00:46:13,791 - pyskl - INFO - Epoch [15][1700/1873] lr: 1.952e-01, eta: 1 day, 1:06:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2428, top5_acc: 0.4880, loss_cls: 5.9508, loss: 5.9508 +2023-12-21 00:46:46,863 - pyskl - INFO - Epoch [15][1800/1873] lr: 1.951e-01, eta: 1 day, 1:05:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2409, top5_acc: 0.4823, loss_cls: 5.9475, loss: 5.9475 +2023-12-21 00:47:14,804 - pyskl - INFO - Saving checkpoint at 15 epochs +2023-12-21 00:47:59,635 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 00:48:00,365 - pyskl - INFO - +top1_acc 0.1474 +top5_acc 0.3622 +2023-12-21 00:48:00,365 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 00:48:00,409 - pyskl - INFO - +mean_acc 0.1475 +2023-12-21 00:48:00,420 - pyskl - INFO - Epoch(val) [15][155] top1_acc: 0.1474, top5_acc: 0.3622, mean_class_accuracy: 0.1475 +2023-12-21 00:49:43,977 - pyskl - INFO - Epoch [16][100/1873] lr: 1.951e-01, eta: 1 day, 1:11:11, time: 1.035, data_time: 0.705, memory: 8129, top1_acc: 0.2412, top5_acc: 0.4923, loss_cls: 5.9163, loss: 5.9163 +2023-12-21 00:50:17,033 - pyskl - INFO - Epoch [16][200/1873] lr: 1.950e-01, eta: 1 day, 1:10:10, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2414, top5_acc: 0.4784, loss_cls: 5.9556, loss: 5.9556 +2023-12-21 00:50:50,045 - pyskl - INFO - Epoch [16][300/1873] lr: 1.950e-01, eta: 1 day, 1:09:08, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2401, top5_acc: 0.4902, loss_cls: 5.9305, loss: 5.9305 +2023-12-21 00:51:23,147 - pyskl - INFO - Epoch [16][400/1873] lr: 1.950e-01, eta: 1 day, 1:08:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2392, top5_acc: 0.4930, loss_cls: 5.9401, loss: 5.9401 +2023-12-21 00:51:56,232 - pyskl - INFO - Epoch [16][500/1873] lr: 1.949e-01, eta: 1 day, 1:07:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2456, top5_acc: 0.4955, loss_cls: 5.9190, loss: 5.9190 +2023-12-21 00:52:29,363 - pyskl - INFO - Epoch [16][600/1873] lr: 1.949e-01, eta: 1 day, 1:06:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2394, top5_acc: 0.4845, loss_cls: 5.9571, loss: 5.9571 +2023-12-21 00:53:02,343 - pyskl - INFO - Epoch [16][700/1873] lr: 1.949e-01, eta: 1 day, 1:05:08, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2406, top5_acc: 0.4842, loss_cls: 5.9669, loss: 5.9669 +2023-12-21 00:53:35,153 - pyskl - INFO - Epoch [16][800/1873] lr: 1.948e-01, eta: 1 day, 1:04:06, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2368, top5_acc: 0.4856, loss_cls: 5.9735, loss: 5.9735 +2023-12-21 00:54:08,081 - pyskl - INFO - Epoch [16][900/1873] lr: 1.948e-01, eta: 1 day, 1:03:05, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2392, top5_acc: 0.4873, loss_cls: 5.9373, loss: 5.9373 +2023-12-21 00:54:41,065 - pyskl - INFO - Epoch [16][1000/1873] lr: 1.948e-01, eta: 1 day, 1:02:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2425, top5_acc: 0.4858, loss_cls: 5.9510, loss: 5.9510 +2023-12-21 00:55:14,164 - pyskl - INFO - Epoch [16][1100/1873] lr: 1.947e-01, eta: 1 day, 1:01:06, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2362, top5_acc: 0.4830, loss_cls: 5.9622, loss: 5.9622 +2023-12-21 00:55:47,244 - pyskl - INFO - Epoch [16][1200/1873] lr: 1.947e-01, eta: 1 day, 1:00:07, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2448, top5_acc: 0.4853, loss_cls: 5.9508, loss: 5.9508 +2023-12-21 00:56:20,295 - pyskl - INFO - Epoch [16][1300/1873] lr: 1.946e-01, eta: 1 day, 0:59:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2432, top5_acc: 0.4856, loss_cls: 5.9527, loss: 5.9527 +2023-12-21 00:56:53,441 - pyskl - INFO - Epoch [16][1400/1873] lr: 1.946e-01, eta: 1 day, 0:58:10, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2387, top5_acc: 0.4849, loss_cls: 5.9761, loss: 5.9761 +2023-12-21 00:57:26,718 - pyskl - INFO - Epoch [16][1500/1873] lr: 1.946e-01, eta: 1 day, 0:57:13, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2399, top5_acc: 0.4872, loss_cls: 5.9582, loss: 5.9582 +2023-12-21 00:57:59,845 - pyskl - INFO - Epoch [16][1600/1873] lr: 1.945e-01, eta: 1 day, 0:56:15, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2422, top5_acc: 0.4816, loss_cls: 5.9325, loss: 5.9325 +2023-12-21 00:58:32,936 - pyskl - INFO - Epoch [16][1700/1873] lr: 1.945e-01, eta: 1 day, 0:55:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2424, top5_acc: 0.4866, loss_cls: 5.9479, loss: 5.9479 +2023-12-21 00:59:06,038 - pyskl - INFO - Epoch [16][1800/1873] lr: 1.945e-01, eta: 1 day, 0:54:19, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2352, top5_acc: 0.4842, loss_cls: 5.9673, loss: 5.9673 +2023-12-21 00:59:34,114 - pyskl - INFO - Saving checkpoint at 16 epochs +2023-12-21 01:00:19,422 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 01:00:20,133 - pyskl - INFO - +top1_acc 0.1811 +top5_acc 0.4065 +2023-12-21 01:00:20,133 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 01:00:20,168 - pyskl - INFO - +mean_acc 0.1809 +2023-12-21 01:00:20,173 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_14.pth was removed +2023-12-21 01:00:20,343 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. +2023-12-21 01:00:20,344 - pyskl - INFO - Best top1_acc is 0.1811 at 16 epoch. +2023-12-21 01:00:20,355 - pyskl - INFO - Epoch(val) [16][155] top1_acc: 0.1811, top5_acc: 0.4065, mean_class_accuracy: 0.1809 +2023-12-21 01:02:04,803 - pyskl - INFO - Epoch [17][100/1873] lr: 1.944e-01, eta: 1 day, 0:59:14, time: 1.044, data_time: 0.665, memory: 8129, top1_acc: 0.2434, top5_acc: 0.4916, loss_cls: 5.9178, loss: 5.9178 +2023-12-21 01:02:37,621 - pyskl - INFO - Epoch [17][200/1873] lr: 1.944e-01, eta: 1 day, 0:58:12, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2384, top5_acc: 0.4860, loss_cls: 5.9326, loss: 5.9326 +2023-12-21 01:03:10,457 - pyskl - INFO - Epoch [17][300/1873] lr: 1.943e-01, eta: 1 day, 0:57:12, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2427, top5_acc: 0.4896, loss_cls: 5.9364, loss: 5.9364 +2023-12-21 01:03:43,404 - pyskl - INFO - Epoch [17][400/1873] lr: 1.943e-01, eta: 1 day, 0:56:12, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2449, top5_acc: 0.4868, loss_cls: 5.9291, loss: 5.9291 +2023-12-21 01:04:16,534 - pyskl - INFO - Epoch [17][500/1873] lr: 1.943e-01, eta: 1 day, 0:55:14, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2460, top5_acc: 0.4875, loss_cls: 5.9334, loss: 5.9334 +2023-12-21 01:04:49,568 - pyskl - INFO - Epoch [17][600/1873] lr: 1.942e-01, eta: 1 day, 0:54:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2462, top5_acc: 0.4891, loss_cls: 5.9300, loss: 5.9300 +2023-12-21 01:05:22,553 - pyskl - INFO - Epoch [17][700/1873] lr: 1.942e-01, eta: 1 day, 0:53:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2428, top5_acc: 0.4877, loss_cls: 5.9430, loss: 5.9430 +2023-12-21 01:05:55,736 - pyskl - INFO - Epoch [17][800/1873] lr: 1.941e-01, eta: 1 day, 0:52:19, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2380, top5_acc: 0.4882, loss_cls: 5.9262, loss: 5.9262 +2023-12-21 01:06:28,740 - pyskl - INFO - Epoch [17][900/1873] lr: 1.941e-01, eta: 1 day, 0:51:21, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2427, top5_acc: 0.4833, loss_cls: 5.9563, loss: 5.9563 +2023-12-21 01:07:01,757 - pyskl - INFO - Epoch [17][1000/1873] lr: 1.941e-01, eta: 1 day, 0:50:23, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2380, top5_acc: 0.4874, loss_cls: 5.9370, loss: 5.9370 +2023-12-21 01:07:34,552 - pyskl - INFO - Epoch [17][1100/1873] lr: 1.940e-01, eta: 1 day, 0:49:23, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2374, top5_acc: 0.4847, loss_cls: 5.9544, loss: 5.9544 +2023-12-21 01:08:07,511 - pyskl - INFO - Epoch [17][1200/1873] lr: 1.940e-01, eta: 1 day, 0:48:25, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2423, top5_acc: 0.4851, loss_cls: 5.9494, loss: 5.9494 +2023-12-21 01:08:40,372 - pyskl - INFO - Epoch [17][1300/1873] lr: 1.939e-01, eta: 1 day, 0:47:26, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2348, top5_acc: 0.4832, loss_cls: 5.9597, loss: 5.9597 +2023-12-21 01:09:13,335 - pyskl - INFO - Epoch [17][1400/1873] lr: 1.939e-01, eta: 1 day, 0:46:28, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2418, top5_acc: 0.4855, loss_cls: 5.9464, loss: 5.9464 +2023-12-21 01:09:46,383 - pyskl - INFO - Epoch [17][1500/1873] lr: 1.939e-01, eta: 1 day, 0:45:31, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2399, top5_acc: 0.4845, loss_cls: 5.9511, loss: 5.9511 +2023-12-21 01:10:19,347 - pyskl - INFO - Epoch [17][1600/1873] lr: 1.938e-01, eta: 1 day, 0:44:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2468, top5_acc: 0.4916, loss_cls: 5.9282, loss: 5.9282 +2023-12-21 01:10:52,359 - pyskl - INFO - Epoch [17][1700/1873] lr: 1.938e-01, eta: 1 day, 0:43:37, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2345, top5_acc: 0.4781, loss_cls: 5.9651, loss: 5.9651 +2023-12-21 01:11:25,337 - pyskl - INFO - Epoch [17][1800/1873] lr: 1.938e-01, eta: 1 day, 0:42:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2403, top5_acc: 0.4884, loss_cls: 5.9460, loss: 5.9460 +2023-12-21 01:11:52,984 - pyskl - INFO - Saving checkpoint at 17 epochs +2023-12-21 01:12:39,425 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 01:12:40,131 - pyskl - INFO - +top1_acc 0.1643 +top5_acc 0.3884 +2023-12-21 01:12:40,131 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 01:12:40,165 - pyskl - INFO - +mean_acc 0.1643 +2023-12-21 01:12:40,175 - pyskl - INFO - Epoch(val) [17][155] top1_acc: 0.1643, top5_acc: 0.3884, mean_class_accuracy: 0.1643 +2023-12-21 01:14:23,908 - pyskl - INFO - Epoch [18][100/1873] lr: 1.937e-01, eta: 1 day, 0:47:05, time: 1.037, data_time: 0.692, memory: 8129, top1_acc: 0.2423, top5_acc: 0.4923, loss_cls: 5.9112, loss: 5.9112 +2023-12-21 01:14:56,945 - pyskl - INFO - Epoch [18][200/1873] lr: 1.937e-01, eta: 1 day, 0:46:07, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2459, top5_acc: 0.4935, loss_cls: 5.9105, loss: 5.9105 +2023-12-21 01:15:30,116 - pyskl - INFO - Epoch [18][300/1873] lr: 1.936e-01, eta: 1 day, 0:45:11, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2455, top5_acc: 0.4905, loss_cls: 5.9242, loss: 5.9242 +2023-12-21 01:16:03,175 - pyskl - INFO - Epoch [18][400/1873] lr: 1.936e-01, eta: 1 day, 0:44:14, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2426, top5_acc: 0.4883, loss_cls: 5.9395, loss: 5.9395 +2023-12-21 01:16:36,144 - pyskl - INFO - Epoch [18][500/1873] lr: 1.935e-01, eta: 1 day, 0:43:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2373, top5_acc: 0.4809, loss_cls: 5.9661, loss: 5.9661 +2023-12-21 01:17:09,299 - pyskl - INFO - Epoch [18][600/1873] lr: 1.935e-01, eta: 1 day, 0:42:20, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2337, top5_acc: 0.4824, loss_cls: 5.9504, loss: 5.9504 +2023-12-21 01:17:42,266 - pyskl - INFO - Epoch [18][700/1873] lr: 1.935e-01, eta: 1 day, 0:41:23, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2405, top5_acc: 0.4891, loss_cls: 5.9412, loss: 5.9412 +2023-12-21 01:18:15,396 - pyskl - INFO - Epoch [18][800/1873] lr: 1.934e-01, eta: 1 day, 0:40:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2430, top5_acc: 0.4900, loss_cls: 5.9156, loss: 5.9156 +2023-12-21 01:18:48,492 - pyskl - INFO - Epoch [18][900/1873] lr: 1.934e-01, eta: 1 day, 0:39:31, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2448, top5_acc: 0.4861, loss_cls: 5.9419, loss: 5.9419 +2023-12-21 01:19:21,574 - pyskl - INFO - Epoch [18][1000/1873] lr: 1.933e-01, eta: 1 day, 0:38:35, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2384, top5_acc: 0.4859, loss_cls: 5.9265, loss: 5.9265 +2023-12-21 01:19:54,540 - pyskl - INFO - Epoch [18][1100/1873] lr: 1.933e-01, eta: 1 day, 0:37:38, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2393, top5_acc: 0.4835, loss_cls: 5.9532, loss: 5.9532 +2023-12-21 01:20:27,702 - pyskl - INFO - Epoch [18][1200/1873] lr: 1.933e-01, eta: 1 day, 0:36:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2441, top5_acc: 0.4916, loss_cls: 5.9167, loss: 5.9167 +2023-12-21 01:21:00,847 - pyskl - INFO - Epoch [18][1300/1873] lr: 1.932e-01, eta: 1 day, 0:35:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2415, top5_acc: 0.4912, loss_cls: 5.9309, loss: 5.9309 +2023-12-21 01:21:34,037 - pyskl - INFO - Epoch [18][1400/1873] lr: 1.932e-01, eta: 1 day, 0:34:53, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2455, top5_acc: 0.4973, loss_cls: 5.9105, loss: 5.9105 +2023-12-21 01:22:07,132 - pyskl - INFO - Epoch [18][1500/1873] lr: 1.931e-01, eta: 1 day, 0:33:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2360, top5_acc: 0.4896, loss_cls: 5.9479, loss: 5.9479 +2023-12-21 01:22:40,182 - pyskl - INFO - Epoch [18][1600/1873] lr: 1.931e-01, eta: 1 day, 0:33:02, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2448, top5_acc: 0.4923, loss_cls: 5.9262, loss: 5.9262 +2023-12-21 01:23:13,218 - pyskl - INFO - Epoch [18][1700/1873] lr: 1.930e-01, eta: 1 day, 0:32:07, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2412, top5_acc: 0.4821, loss_cls: 5.9358, loss: 5.9358 +2023-12-21 01:23:46,005 - pyskl - INFO - Epoch [18][1800/1873] lr: 1.930e-01, eta: 1 day, 0:31:10, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2502, top5_acc: 0.4962, loss_cls: 5.8935, loss: 5.8935 +2023-12-21 01:24:13,848 - pyskl - INFO - Saving checkpoint at 18 epochs +2023-12-21 01:24:59,717 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 01:25:00,781 - pyskl - INFO - +top1_acc 0.1664 +top5_acc 0.3894 +2023-12-21 01:25:00,782 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 01:25:00,829 - pyskl - INFO - +mean_acc 0.1663 +2023-12-21 01:25:00,841 - pyskl - INFO - Epoch(val) [18][155] top1_acc: 0.1664, top5_acc: 0.3894, mean_class_accuracy: 0.1663 +2023-12-21 01:26:48,833 - pyskl - INFO - Epoch [19][100/1873] lr: 1.929e-01, eta: 1 day, 0:35:46, time: 1.080, data_time: 0.748, memory: 8129, top1_acc: 0.2469, top5_acc: 0.4967, loss_cls: 5.8766, loss: 5.8766 +2023-12-21 01:27:21,876 - pyskl - INFO - Epoch [19][200/1873] lr: 1.929e-01, eta: 1 day, 0:34:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2464, top5_acc: 0.4884, loss_cls: 5.9341, loss: 5.9341 +2023-12-21 01:27:55,071 - pyskl - INFO - Epoch [19][300/1873] lr: 1.929e-01, eta: 1 day, 0:33:55, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2434, top5_acc: 0.4908, loss_cls: 5.9254, loss: 5.9254 +2023-12-21 01:28:28,046 - pyskl - INFO - Epoch [19][400/1873] lr: 1.928e-01, eta: 1 day, 0:32:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2444, top5_acc: 0.4909, loss_cls: 5.9082, loss: 5.9082 +2023-12-21 01:29:01,045 - pyskl - INFO - Epoch [19][500/1873] lr: 1.928e-01, eta: 1 day, 0:32:02, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2518, top5_acc: 0.4962, loss_cls: 5.8991, loss: 5.8991 +2023-12-21 01:29:34,221 - pyskl - INFO - Epoch [19][600/1873] lr: 1.927e-01, eta: 1 day, 0:31:08, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2453, top5_acc: 0.4852, loss_cls: 5.9368, loss: 5.9368 +2023-12-21 01:30:07,197 - pyskl - INFO - Epoch [19][700/1873] lr: 1.927e-01, eta: 1 day, 0:30:12, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2459, top5_acc: 0.4918, loss_cls: 5.9266, loss: 5.9266 +2023-12-21 01:30:40,341 - pyskl - INFO - Epoch [19][800/1873] lr: 1.926e-01, eta: 1 day, 0:29:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2366, top5_acc: 0.4920, loss_cls: 5.9476, loss: 5.9476 +2023-12-21 01:31:13,564 - pyskl - INFO - Epoch [19][900/1873] lr: 1.926e-01, eta: 1 day, 0:28:23, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2381, top5_acc: 0.4968, loss_cls: 5.9027, loss: 5.9027 +2023-12-21 01:31:46,509 - pyskl - INFO - Epoch [19][1000/1873] lr: 1.926e-01, eta: 1 day, 0:27:27, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2418, top5_acc: 0.4862, loss_cls: 5.9391, loss: 5.9391 +2023-12-21 01:32:19,438 - pyskl - INFO - Epoch [19][1100/1873] lr: 1.925e-01, eta: 1 day, 0:26:32, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2464, top5_acc: 0.4964, loss_cls: 5.9032, loss: 5.9032 +2023-12-21 01:32:52,451 - pyskl - INFO - Epoch [19][1200/1873] lr: 1.925e-01, eta: 1 day, 0:25:37, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2368, top5_acc: 0.4836, loss_cls: 5.9595, loss: 5.9595 +2023-12-21 01:33:25,473 - pyskl - INFO - Epoch [19][1300/1873] lr: 1.924e-01, eta: 1 day, 0:24:42, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2469, top5_acc: 0.4884, loss_cls: 5.9359, loss: 5.9359 +2023-12-21 01:33:58,518 - pyskl - INFO - Epoch [19][1400/1873] lr: 1.924e-01, eta: 1 day, 0:23:47, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2455, top5_acc: 0.5003, loss_cls: 5.9049, loss: 5.9049 +2023-12-21 01:34:31,421 - pyskl - INFO - Epoch [19][1500/1873] lr: 1.923e-01, eta: 1 day, 0:22:52, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2432, top5_acc: 0.4904, loss_cls: 5.9080, loss: 5.9080 +2023-12-21 01:35:04,291 - pyskl - INFO - Epoch [19][1600/1873] lr: 1.923e-01, eta: 1 day, 0:21:56, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2435, top5_acc: 0.4888, loss_cls: 5.9073, loss: 5.9073 +2023-12-21 01:35:37,087 - pyskl - INFO - Epoch [19][1700/1873] lr: 1.923e-01, eta: 1 day, 0:21:00, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2420, top5_acc: 0.4828, loss_cls: 5.9399, loss: 5.9399 +2023-12-21 01:36:10,066 - pyskl - INFO - Epoch [19][1800/1873] lr: 1.922e-01, eta: 1 day, 0:20:06, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2431, top5_acc: 0.4944, loss_cls: 5.9096, loss: 5.9096 +2023-12-21 01:36:37,747 - pyskl - INFO - Saving checkpoint at 19 epochs +2023-12-21 01:37:24,496 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 01:37:25,560 - pyskl - INFO - +top1_acc 0.1734 +top5_acc 0.3890 +2023-12-21 01:37:25,560 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 01:37:25,607 - pyskl - INFO - +mean_acc 0.1733 +2023-12-21 01:37:25,620 - pyskl - INFO - Epoch(val) [19][155] top1_acc: 0.1734, top5_acc: 0.3890, mean_class_accuracy: 0.1733 +2023-12-21 01:39:11,148 - pyskl - INFO - Epoch [20][100/1873] lr: 1.921e-01, eta: 1 day, 0:24:05, time: 1.055, data_time: 0.714, memory: 8129, top1_acc: 0.2471, top5_acc: 0.4967, loss_cls: 5.8694, loss: 5.8694 +2023-12-21 01:39:44,076 - pyskl - INFO - Epoch [20][200/1873] lr: 1.921e-01, eta: 1 day, 0:23:09, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2434, top5_acc: 0.4965, loss_cls: 5.9040, loss: 5.9040 +2023-12-21 01:40:16,769 - pyskl - INFO - Epoch [20][300/1873] lr: 1.921e-01, eta: 1 day, 0:22:12, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2445, top5_acc: 0.4880, loss_cls: 5.9065, loss: 5.9065 +2023-12-21 01:40:49,368 - pyskl - INFO - Epoch [20][400/1873] lr: 1.920e-01, eta: 1 day, 0:21:14, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.2502, top5_acc: 0.5002, loss_cls: 5.8637, loss: 5.8637 +2023-12-21 01:41:22,147 - pyskl - INFO - Epoch [20][500/1873] lr: 1.920e-01, eta: 1 day, 0:20:18, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2446, top5_acc: 0.4985, loss_cls: 5.8822, loss: 5.8822 +2023-12-21 01:41:54,986 - pyskl - INFO - Epoch [20][600/1873] lr: 1.919e-01, eta: 1 day, 0:19:23, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2430, top5_acc: 0.4850, loss_cls: 5.9295, loss: 5.9295 +2023-12-21 01:42:27,923 - pyskl - INFO - Epoch [20][700/1873] lr: 1.919e-01, eta: 1 day, 0:18:28, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2442, top5_acc: 0.4917, loss_cls: 5.9273, loss: 5.9273 +2023-12-21 01:43:00,748 - pyskl - INFO - Epoch [20][800/1873] lr: 1.918e-01, eta: 1 day, 0:17:32, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2437, top5_acc: 0.4899, loss_cls: 5.9137, loss: 5.9137 +2023-12-21 01:43:33,620 - pyskl - INFO - Epoch [20][900/1873] lr: 1.918e-01, eta: 1 day, 0:16:37, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2424, top5_acc: 0.4873, loss_cls: 5.9230, loss: 5.9230 +2023-12-21 01:44:06,618 - pyskl - INFO - Epoch [20][1000/1873] lr: 1.917e-01, eta: 1 day, 0:15:43, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2434, top5_acc: 0.4938, loss_cls: 5.9029, loss: 5.9029 +2023-12-21 01:44:39,653 - pyskl - INFO - Epoch [20][1100/1873] lr: 1.917e-01, eta: 1 day, 0:14:49, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2445, top5_acc: 0.4920, loss_cls: 5.9105, loss: 5.9105 +2023-12-21 01:45:12,548 - pyskl - INFO - Epoch [20][1200/1873] lr: 1.917e-01, eta: 1 day, 0:13:54, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2436, top5_acc: 0.4929, loss_cls: 5.8980, loss: 5.8980 +2023-12-21 01:45:45,510 - pyskl - INFO - Epoch [20][1300/1873] lr: 1.916e-01, eta: 1 day, 0:13:00, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2494, top5_acc: 0.5000, loss_cls: 5.8932, loss: 5.8932 +2023-12-21 01:46:18,436 - pyskl - INFO - Epoch [20][1400/1873] lr: 1.916e-01, eta: 1 day, 0:12:06, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2452, top5_acc: 0.4917, loss_cls: 5.8967, loss: 5.8967 +2023-12-21 01:46:51,327 - pyskl - INFO - Epoch [20][1500/1873] lr: 1.915e-01, eta: 1 day, 0:11:12, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2380, top5_acc: 0.4848, loss_cls: 5.9494, loss: 5.9494 +2023-12-21 01:47:23,916 - pyskl - INFO - Epoch [20][1600/1873] lr: 1.915e-01, eta: 1 day, 0:10:16, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.2488, top5_acc: 0.4895, loss_cls: 5.9034, loss: 5.9034 +2023-12-21 01:47:56,613 - pyskl - INFO - Epoch [20][1700/1873] lr: 1.914e-01, eta: 1 day, 0:09:21, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2404, top5_acc: 0.4837, loss_cls: 5.9384, loss: 5.9384 +2023-12-21 01:48:29,560 - pyskl - INFO - Epoch [20][1800/1873] lr: 1.914e-01, eta: 1 day, 0:08:27, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2436, top5_acc: 0.4922, loss_cls: 5.9067, loss: 5.9067 +2023-12-21 01:48:56,420 - pyskl - INFO - Saving checkpoint at 20 epochs +2023-12-21 01:49:46,192 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 01:49:46,921 - pyskl - INFO - +top1_acc 0.1656 +top5_acc 0.3842 +2023-12-21 01:49:46,921 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 01:49:46,962 - pyskl - INFO - +mean_acc 0.1654 +2023-12-21 01:49:46,976 - pyskl - INFO - Epoch(val) [20][155] top1_acc: 0.1656, top5_acc: 0.3842, mean_class_accuracy: 0.1654 +2023-12-21 01:51:31,719 - pyskl - INFO - Epoch [21][100/1873] lr: 1.913e-01, eta: 1 day, 0:12:04, time: 1.047, data_time: 0.708, memory: 8129, top1_acc: 0.2479, top5_acc: 0.4985, loss_cls: 5.8911, loss: 5.8911 +2023-12-21 01:52:04,489 - pyskl - INFO - Epoch [21][200/1873] lr: 1.913e-01, eta: 1 day, 0:11:09, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2519, top5_acc: 0.4990, loss_cls: 5.8764, loss: 5.8764 +2023-12-21 01:52:37,258 - pyskl - INFO - Epoch [21][300/1873] lr: 1.912e-01, eta: 1 day, 0:10:13, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2545, top5_acc: 0.4988, loss_cls: 5.8755, loss: 5.8755 +2023-12-21 01:53:10,333 - pyskl - INFO - Epoch [21][400/1873] lr: 1.912e-01, eta: 1 day, 0:09:20, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2447, top5_acc: 0.4927, loss_cls: 5.8899, loss: 5.8899 +2023-12-21 01:53:43,362 - pyskl - INFO - Epoch [21][500/1873] lr: 1.911e-01, eta: 1 day, 0:08:27, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2417, top5_acc: 0.4930, loss_cls: 5.9002, loss: 5.9002 +2023-12-21 01:54:16,249 - pyskl - INFO - Epoch [21][600/1873] lr: 1.911e-01, eta: 1 day, 0:07:33, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2559, top5_acc: 0.4994, loss_cls: 5.8669, loss: 5.8669 +2023-12-21 01:54:49,336 - pyskl - INFO - Epoch [21][700/1873] lr: 1.910e-01, eta: 1 day, 0:06:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2462, top5_acc: 0.4945, loss_cls: 5.9113, loss: 5.9113 +2023-12-21 01:55:22,193 - pyskl - INFO - Epoch [21][800/1873] lr: 1.910e-01, eta: 1 day, 0:05:46, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2452, top5_acc: 0.4863, loss_cls: 5.9255, loss: 5.9255 +2023-12-21 01:55:54,999 - pyskl - INFO - Epoch [21][900/1873] lr: 1.909e-01, eta: 1 day, 0:04:51, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2462, top5_acc: 0.4930, loss_cls: 5.9097, loss: 5.9097 +2023-12-21 01:56:27,787 - pyskl - INFO - Epoch [21][1000/1873] lr: 1.909e-01, eta: 1 day, 0:03:57, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2487, top5_acc: 0.4930, loss_cls: 5.9105, loss: 5.9105 +2023-12-21 01:57:00,617 - pyskl - INFO - Epoch [21][1100/1873] lr: 1.908e-01, eta: 1 day, 0:03:03, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2502, top5_acc: 0.4965, loss_cls: 5.9009, loss: 5.9009 +2023-12-21 01:57:33,455 - pyskl - INFO - Epoch [21][1200/1873] lr: 1.908e-01, eta: 1 day, 0:02:09, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2426, top5_acc: 0.4943, loss_cls: 5.8965, loss: 5.8965 +2023-12-21 01:58:06,245 - pyskl - INFO - Epoch [21][1300/1873] lr: 1.908e-01, eta: 1 day, 0:01:15, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2441, top5_acc: 0.4884, loss_cls: 5.9199, loss: 5.9199 +2023-12-21 01:58:38,782 - pyskl - INFO - Epoch [21][1400/1873] lr: 1.907e-01, eta: 1 day, 0:00:20, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.2423, top5_acc: 0.4862, loss_cls: 5.9300, loss: 5.9300 +2023-12-21 01:59:11,559 - pyskl - INFO - Epoch [21][1500/1873] lr: 1.907e-01, eta: 23:59:26, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2468, top5_acc: 0.4945, loss_cls: 5.8945, loss: 5.8945 +2023-12-21 01:59:44,366 - pyskl - INFO - Epoch [21][1600/1873] lr: 1.906e-01, eta: 23:58:33, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2451, top5_acc: 0.4917, loss_cls: 5.9116, loss: 5.9116 +2023-12-21 02:00:17,218 - pyskl - INFO - Epoch [21][1700/1873] lr: 1.906e-01, eta: 23:57:39, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2479, top5_acc: 0.4917, loss_cls: 5.9074, loss: 5.9074 +2023-12-21 02:00:50,084 - pyskl - INFO - Epoch [21][1800/1873] lr: 1.905e-01, eta: 23:56:46, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2460, top5_acc: 0.4930, loss_cls: 5.8941, loss: 5.8941 +2023-12-21 02:01:17,286 - pyskl - INFO - Saving checkpoint at 21 epochs +2023-12-21 02:02:06,047 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 02:02:07,115 - pyskl - INFO - +top1_acc 0.1785 +top5_acc 0.4071 +2023-12-21 02:02:07,115 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 02:02:07,158 - pyskl - INFO - +mean_acc 0.1783 +2023-12-21 02:02:07,169 - pyskl - INFO - Epoch(val) [21][155] top1_acc: 0.1785, top5_acc: 0.4071, mean_class_accuracy: 0.1783 +2023-12-21 02:03:51,221 - pyskl - INFO - Epoch [22][100/1873] lr: 1.904e-01, eta: 1 day, 0:00:04, time: 1.040, data_time: 0.704, memory: 8129, top1_acc: 0.2457, top5_acc: 0.5003, loss_cls: 5.8752, loss: 5.8752 +2023-12-21 02:04:23,984 - pyskl - INFO - Epoch [22][200/1873] lr: 1.904e-01, eta: 23:59:10, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2448, top5_acc: 0.4956, loss_cls: 5.8855, loss: 5.8855 +2023-12-21 02:04:56,810 - pyskl - INFO - Epoch [22][300/1873] lr: 1.903e-01, eta: 23:58:16, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2472, top5_acc: 0.4983, loss_cls: 5.8711, loss: 5.8711 +2023-12-21 02:05:29,667 - pyskl - INFO - Epoch [22][400/1873] lr: 1.903e-01, eta: 23:57:23, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2491, top5_acc: 0.4966, loss_cls: 5.8801, loss: 5.8801 +2023-12-21 02:06:02,708 - pyskl - INFO - Epoch [22][500/1873] lr: 1.902e-01, eta: 23:56:30, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2477, top5_acc: 0.4952, loss_cls: 5.8824, loss: 5.8824 +2023-12-21 02:06:35,646 - pyskl - INFO - Epoch [22][600/1873] lr: 1.902e-01, eta: 23:55:38, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2494, top5_acc: 0.4960, loss_cls: 5.8877, loss: 5.8877 +2023-12-21 02:07:08,515 - pyskl - INFO - Epoch [22][700/1873] lr: 1.901e-01, eta: 23:54:45, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2384, top5_acc: 0.4873, loss_cls: 5.9056, loss: 5.9056 +2023-12-21 02:07:41,435 - pyskl - INFO - Epoch [22][800/1873] lr: 1.901e-01, eta: 23:53:52, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2479, top5_acc: 0.5017, loss_cls: 5.8937, loss: 5.8937 +2023-12-21 02:08:14,328 - pyskl - INFO - Epoch [22][900/1873] lr: 1.901e-01, eta: 23:53:00, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2514, top5_acc: 0.4931, loss_cls: 5.8965, loss: 5.8965 +2023-12-21 02:08:47,418 - pyskl - INFO - Epoch [22][1000/1873] lr: 1.900e-01, eta: 23:52:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2484, top5_acc: 0.4986, loss_cls: 5.8785, loss: 5.8785 +2023-12-21 02:09:20,604 - pyskl - INFO - Epoch [22][1100/1873] lr: 1.900e-01, eta: 23:51:17, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2438, top5_acc: 0.4928, loss_cls: 5.9052, loss: 5.9052 +2023-12-21 02:09:53,711 - pyskl - INFO - Epoch [22][1200/1873] lr: 1.899e-01, eta: 23:50:26, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2510, top5_acc: 0.4998, loss_cls: 5.8767, loss: 5.8767 +2023-12-21 02:10:26,679 - pyskl - INFO - Epoch [22][1300/1873] lr: 1.899e-01, eta: 23:49:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2390, top5_acc: 0.4891, loss_cls: 5.9186, loss: 5.9186 +2023-12-21 02:10:59,602 - pyskl - INFO - Epoch [22][1400/1873] lr: 1.898e-01, eta: 23:48:42, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2483, top5_acc: 0.4973, loss_cls: 5.8950, loss: 5.8950 +2023-12-21 02:11:32,573 - pyskl - INFO - Epoch [22][1500/1873] lr: 1.898e-01, eta: 23:47:51, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2481, top5_acc: 0.5004, loss_cls: 5.8752, loss: 5.8752 +2023-12-21 02:12:05,721 - pyskl - INFO - Epoch [22][1600/1873] lr: 1.897e-01, eta: 23:47:00, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2435, top5_acc: 0.4905, loss_cls: 5.9063, loss: 5.9063 +2023-12-21 02:12:38,648 - pyskl - INFO - Epoch [22][1700/1873] lr: 1.897e-01, eta: 23:46:08, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2495, top5_acc: 0.4936, loss_cls: 5.8851, loss: 5.8851 +2023-12-21 02:13:11,836 - pyskl - INFO - Epoch [22][1800/1873] lr: 1.896e-01, eta: 23:45:18, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2466, top5_acc: 0.4951, loss_cls: 5.9034, loss: 5.9034 +2023-12-21 02:13:38,819 - pyskl - INFO - Saving checkpoint at 22 epochs +2023-12-21 02:14:28,313 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 02:14:29,354 - pyskl - INFO - +top1_acc 0.1792 +top5_acc 0.4007 +2023-12-21 02:14:29,354 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 02:14:29,393 - pyskl - INFO - +mean_acc 0.1789 +2023-12-21 02:14:29,403 - pyskl - INFO - Epoch(val) [22][155] top1_acc: 0.1792, top5_acc: 0.4007, mean_class_accuracy: 0.1789 +2023-12-21 02:16:10,929 - pyskl - INFO - Epoch [23][100/1873] lr: 1.895e-01, eta: 23:48:08, time: 1.015, data_time: 0.686, memory: 8129, top1_acc: 0.2495, top5_acc: 0.5024, loss_cls: 5.8525, loss: 5.8525 +2023-12-21 02:16:43,889 - pyskl - INFO - Epoch [23][200/1873] lr: 1.895e-01, eta: 23:47:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2446, top5_acc: 0.4938, loss_cls: 5.8851, loss: 5.8851 +2023-12-21 02:17:16,885 - pyskl - INFO - Epoch [23][300/1873] lr: 1.894e-01, eta: 23:46:24, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2534, top5_acc: 0.4961, loss_cls: 5.8757, loss: 5.8757 +2023-12-21 02:17:49,886 - pyskl - INFO - Epoch [23][400/1873] lr: 1.894e-01, eta: 23:45:33, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2452, top5_acc: 0.4891, loss_cls: 5.9256, loss: 5.9256 +2023-12-21 02:18:22,966 - pyskl - INFO - Epoch [23][500/1873] lr: 1.893e-01, eta: 23:44:42, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2592, top5_acc: 0.4962, loss_cls: 5.8764, loss: 5.8764 +2023-12-21 02:18:56,206 - pyskl - INFO - Epoch [23][600/1873] lr: 1.893e-01, eta: 23:43:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2491, top5_acc: 0.5003, loss_cls: 5.8542, loss: 5.8542 +2023-12-21 02:19:29,192 - pyskl - INFO - Epoch [23][700/1873] lr: 1.892e-01, eta: 23:43:00, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2509, top5_acc: 0.4959, loss_cls: 5.8969, loss: 5.8969 +2023-12-21 02:20:02,280 - pyskl - INFO - Epoch [23][800/1873] lr: 1.892e-01, eta: 23:42:10, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2484, top5_acc: 0.4977, loss_cls: 5.8737, loss: 5.8737 +2023-12-21 02:20:35,238 - pyskl - INFO - Epoch [23][900/1873] lr: 1.891e-01, eta: 23:41:18, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2501, top5_acc: 0.4971, loss_cls: 5.8615, loss: 5.8615 +2023-12-21 02:21:08,386 - pyskl - INFO - Epoch [23][1000/1873] lr: 1.891e-01, eta: 23:40:28, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2462, top5_acc: 0.4952, loss_cls: 5.8980, loss: 5.8980 +2023-12-21 02:21:41,394 - pyskl - INFO - Epoch [23][1100/1873] lr: 1.890e-01, eta: 23:39:37, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2435, top5_acc: 0.5034, loss_cls: 5.8838, loss: 5.8838 +2023-12-21 02:22:14,596 - pyskl - INFO - Epoch [23][1200/1873] lr: 1.890e-01, eta: 23:38:47, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2505, top5_acc: 0.5014, loss_cls: 5.8613, loss: 5.8613 +2023-12-21 02:22:47,733 - pyskl - INFO - Epoch [23][1300/1873] lr: 1.889e-01, eta: 23:37:57, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2498, top5_acc: 0.4934, loss_cls: 5.8820, loss: 5.8820 +2023-12-21 02:23:20,969 - pyskl - INFO - Epoch [23][1400/1873] lr: 1.889e-01, eta: 23:37:08, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2523, top5_acc: 0.4985, loss_cls: 5.8645, loss: 5.8645 +2023-12-21 02:23:54,113 - pyskl - INFO - Epoch [23][1500/1873] lr: 1.888e-01, eta: 23:36:18, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2380, top5_acc: 0.4897, loss_cls: 5.9164, loss: 5.9164 +2023-12-21 02:24:27,114 - pyskl - INFO - Epoch [23][1600/1873] lr: 1.888e-01, eta: 23:35:28, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2445, top5_acc: 0.4879, loss_cls: 5.8985, loss: 5.8985 +2023-12-21 02:25:00,279 - pyskl - INFO - Epoch [23][1700/1873] lr: 1.887e-01, eta: 23:34:38, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2436, top5_acc: 0.4885, loss_cls: 5.9010, loss: 5.9010 +2023-12-21 02:25:33,321 - pyskl - INFO - Epoch [23][1800/1873] lr: 1.887e-01, eta: 23:33:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2476, top5_acc: 0.4997, loss_cls: 5.8808, loss: 5.8808 +2023-12-21 02:26:00,496 - pyskl - INFO - Saving checkpoint at 23 epochs +2023-12-21 02:26:51,419 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 02:26:52,456 - pyskl - INFO - +top1_acc 0.1741 +top5_acc 0.3982 +2023-12-21 02:26:52,456 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 02:26:52,494 - pyskl - INFO - +mean_acc 0.1740 +2023-12-21 02:26:52,503 - pyskl - INFO - Epoch(val) [23][155] top1_acc: 0.1741, top5_acc: 0.3982, mean_class_accuracy: 0.1740 +2023-12-21 02:28:34,365 - pyskl - INFO - Epoch [24][100/1873] lr: 1.886e-01, eta: 23:36:28, time: 1.018, data_time: 0.686, memory: 8129, top1_acc: 0.2516, top5_acc: 0.5059, loss_cls: 5.8382, loss: 5.8382 +2023-12-21 02:29:07,322 - pyskl - INFO - Epoch [24][200/1873] lr: 1.885e-01, eta: 23:35:37, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2549, top5_acc: 0.5001, loss_cls: 5.8421, loss: 5.8421 +2023-12-21 02:29:40,179 - pyskl - INFO - Epoch [24][300/1873] lr: 1.885e-01, eta: 23:34:45, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2580, top5_acc: 0.5008, loss_cls: 5.8464, loss: 5.8464 +2023-12-21 02:30:13,193 - pyskl - INFO - Epoch [24][400/1873] lr: 1.884e-01, eta: 23:33:55, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2506, top5_acc: 0.4933, loss_cls: 5.8872, loss: 5.8872 +2023-12-21 02:30:46,171 - pyskl - INFO - Epoch [24][500/1873] lr: 1.884e-01, eta: 23:33:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2512, top5_acc: 0.4957, loss_cls: 5.8800, loss: 5.8800 +2023-12-21 02:31:19,197 - pyskl - INFO - Epoch [24][600/1873] lr: 1.883e-01, eta: 23:32:13, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2537, top5_acc: 0.5018, loss_cls: 5.8711, loss: 5.8711 +2023-12-21 02:31:52,113 - pyskl - INFO - Epoch [24][700/1873] lr: 1.883e-01, eta: 23:31:23, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2493, top5_acc: 0.4915, loss_cls: 5.8923, loss: 5.8923 +2023-12-21 02:32:24,963 - pyskl - INFO - Epoch [24][800/1873] lr: 1.882e-01, eta: 23:30:32, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2470, top5_acc: 0.4986, loss_cls: 5.8726, loss: 5.8726 +2023-12-21 02:32:58,028 - pyskl - INFO - Epoch [24][900/1873] lr: 1.882e-01, eta: 23:29:42, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2556, top5_acc: 0.5019, loss_cls: 5.8490, loss: 5.8490 +2023-12-21 02:33:30,962 - pyskl - INFO - Epoch [24][1000/1873] lr: 1.881e-01, eta: 23:28:51, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2450, top5_acc: 0.4944, loss_cls: 5.8852, loss: 5.8852 +2023-12-21 02:34:03,873 - pyskl - INFO - Epoch [24][1100/1873] lr: 1.880e-01, eta: 23:28:00, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2482, top5_acc: 0.4934, loss_cls: 5.9011, loss: 5.9011 +2023-12-21 02:34:36,870 - pyskl - INFO - Epoch [24][1200/1873] lr: 1.880e-01, eta: 23:27:10, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2503, top5_acc: 0.5013, loss_cls: 5.8556, loss: 5.8556 +2023-12-21 02:35:09,903 - pyskl - INFO - Epoch [24][1300/1873] lr: 1.879e-01, eta: 23:26:21, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2516, top5_acc: 0.4969, loss_cls: 5.8742, loss: 5.8742 +2023-12-21 02:35:42,806 - pyskl - INFO - Epoch [24][1400/1873] lr: 1.879e-01, eta: 23:25:30, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2431, top5_acc: 0.4931, loss_cls: 5.9160, loss: 5.9160 +2023-12-21 02:36:15,680 - pyskl - INFO - Epoch [24][1500/1873] lr: 1.878e-01, eta: 23:24:40, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2474, top5_acc: 0.4999, loss_cls: 5.8631, loss: 5.8631 +2023-12-21 02:36:48,732 - pyskl - INFO - Epoch [24][1600/1873] lr: 1.878e-01, eta: 23:23:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2433, top5_acc: 0.4905, loss_cls: 5.8868, loss: 5.8868 +2023-12-21 02:37:21,796 - pyskl - INFO - Epoch [24][1700/1873] lr: 1.877e-01, eta: 23:23:01, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2430, top5_acc: 0.4976, loss_cls: 5.8938, loss: 5.8938 +2023-12-21 02:37:54,922 - pyskl - INFO - Epoch [24][1800/1873] lr: 1.877e-01, eta: 23:22:12, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2505, top5_acc: 0.4945, loss_cls: 5.8738, loss: 5.8738 +2023-12-21 02:38:22,566 - pyskl - INFO - Saving checkpoint at 24 epochs +2023-12-21 02:39:13,154 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 02:39:13,885 - pyskl - INFO - +top1_acc 0.1656 +top5_acc 0.3850 +2023-12-21 02:39:13,885 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 02:39:13,919 - pyskl - INFO - +mean_acc 0.1656 +2023-12-21 02:39:13,928 - pyskl - INFO - Epoch(val) [24][155] top1_acc: 0.1656, top5_acc: 0.3850, mean_class_accuracy: 0.1656 +2023-12-21 02:40:55,339 - pyskl - INFO - Epoch [25][100/1873] lr: 1.876e-01, eta: 23:24:39, time: 1.014, data_time: 0.672, memory: 8129, top1_acc: 0.2529, top5_acc: 0.5105, loss_cls: 5.8250, loss: 5.8250 +2023-12-21 02:41:28,131 - pyskl - INFO - Epoch [25][200/1873] lr: 1.875e-01, eta: 23:23:48, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2459, top5_acc: 0.4910, loss_cls: 5.8651, loss: 5.8651 +2023-12-21 02:42:01,125 - pyskl - INFO - Epoch [25][300/1873] lr: 1.875e-01, eta: 23:22:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2541, top5_acc: 0.4966, loss_cls: 5.8483, loss: 5.8483 +2023-12-21 02:42:34,031 - pyskl - INFO - Epoch [25][400/1873] lr: 1.874e-01, eta: 23:22:07, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2484, top5_acc: 0.4986, loss_cls: 5.8717, loss: 5.8717 +2023-12-21 02:43:07,045 - pyskl - INFO - Epoch [25][500/1873] lr: 1.874e-01, eta: 23:21:18, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2578, top5_acc: 0.5010, loss_cls: 5.8339, loss: 5.8339 +2023-12-21 02:43:40,006 - pyskl - INFO - Epoch [25][600/1873] lr: 1.873e-01, eta: 23:20:28, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2499, top5_acc: 0.4974, loss_cls: 5.8635, loss: 5.8635 +2023-12-21 02:44:12,975 - pyskl - INFO - Epoch [25][700/1873] lr: 1.873e-01, eta: 23:19:38, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2491, top5_acc: 0.4967, loss_cls: 5.8669, loss: 5.8669 +2023-12-21 02:44:45,812 - pyskl - INFO - Epoch [25][800/1873] lr: 1.872e-01, eta: 23:18:48, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2479, top5_acc: 0.4927, loss_cls: 5.8711, loss: 5.8711 +2023-12-21 02:45:18,593 - pyskl - INFO - Epoch [25][900/1873] lr: 1.871e-01, eta: 23:17:57, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2540, top5_acc: 0.4966, loss_cls: 5.8587, loss: 5.8587 +2023-12-21 02:45:51,308 - pyskl - INFO - Epoch [25][1000/1873] lr: 1.871e-01, eta: 23:17:06, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2540, top5_acc: 0.4948, loss_cls: 5.8827, loss: 5.8827 +2023-12-21 02:46:24,016 - pyskl - INFO - Epoch [25][1100/1873] lr: 1.870e-01, eta: 23:16:16, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2476, top5_acc: 0.4950, loss_cls: 5.8852, loss: 5.8852 +2023-12-21 02:46:56,844 - pyskl - INFO - Epoch [25][1200/1873] lr: 1.870e-01, eta: 23:15:25, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2523, top5_acc: 0.4954, loss_cls: 5.8840, loss: 5.8840 +2023-12-21 02:47:29,828 - pyskl - INFO - Epoch [25][1300/1873] lr: 1.869e-01, eta: 23:14:36, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2436, top5_acc: 0.5002, loss_cls: 5.8651, loss: 5.8651 +2023-12-21 02:48:02,871 - pyskl - INFO - Epoch [25][1400/1873] lr: 1.869e-01, eta: 23:13:47, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2451, top5_acc: 0.4975, loss_cls: 5.8802, loss: 5.8802 +2023-12-21 02:48:35,847 - pyskl - INFO - Epoch [25][1500/1873] lr: 1.868e-01, eta: 23:12:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2482, top5_acc: 0.4966, loss_cls: 5.8640, loss: 5.8640 +2023-12-21 02:49:08,669 - pyskl - INFO - Epoch [25][1600/1873] lr: 1.868e-01, eta: 23:12:08, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2533, top5_acc: 0.5014, loss_cls: 5.8690, loss: 5.8690 +2023-12-21 02:49:41,509 - pyskl - INFO - Epoch [25][1700/1873] lr: 1.867e-01, eta: 23:11:19, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2486, top5_acc: 0.5008, loss_cls: 5.8817, loss: 5.8817 +2023-12-21 02:50:14,297 - pyskl - INFO - Epoch [25][1800/1873] lr: 1.866e-01, eta: 23:10:29, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2423, top5_acc: 0.4898, loss_cls: 5.8931, loss: 5.8931 +2023-12-21 02:50:41,421 - pyskl - INFO - Saving checkpoint at 25 epochs +2023-12-21 02:51:29,953 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 02:51:30,656 - pyskl - INFO - +top1_acc 0.1992 +top5_acc 0.4272 +2023-12-21 02:51:30,656 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 02:51:30,695 - pyskl - INFO - +mean_acc 0.1990 +2023-12-21 02:51:30,701 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_16.pth was removed +2023-12-21 02:51:30,868 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. +2023-12-21 02:51:30,869 - pyskl - INFO - Best top1_acc is 0.1992 at 25 epoch. +2023-12-21 02:51:30,881 - pyskl - INFO - Epoch(val) [25][155] top1_acc: 0.1992, top5_acc: 0.4272, mean_class_accuracy: 0.1990 +2023-12-21 02:53:13,147 - pyskl - INFO - Epoch [26][100/1873] lr: 1.865e-01, eta: 23:12:50, time: 1.022, data_time: 0.680, memory: 8129, top1_acc: 0.2570, top5_acc: 0.5108, loss_cls: 5.8237, loss: 5.8237 +2023-12-21 02:53:45,864 - pyskl - INFO - Epoch [26][200/1873] lr: 1.865e-01, eta: 23:11:59, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2584, top5_acc: 0.5040, loss_cls: 5.8280, loss: 5.8280 +2023-12-21 02:54:18,864 - pyskl - INFO - Epoch [26][300/1873] lr: 1.864e-01, eta: 23:11:10, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2493, top5_acc: 0.5045, loss_cls: 5.8478, loss: 5.8478 +2023-12-21 02:54:51,734 - pyskl - INFO - Epoch [26][400/1873] lr: 1.864e-01, eta: 23:10:20, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2491, top5_acc: 0.4997, loss_cls: 5.8730, loss: 5.8730 +2023-12-21 02:55:24,747 - pyskl - INFO - Epoch [26][500/1873] lr: 1.863e-01, eta: 23:09:31, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2538, top5_acc: 0.4976, loss_cls: 5.8814, loss: 5.8814 +2023-12-21 02:55:57,725 - pyskl - INFO - Epoch [26][600/1873] lr: 1.863e-01, eta: 23:08:42, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2565, top5_acc: 0.5009, loss_cls: 5.8426, loss: 5.8426 +2023-12-21 02:56:30,685 - pyskl - INFO - Epoch [26][700/1873] lr: 1.862e-01, eta: 23:07:53, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2556, top5_acc: 0.4995, loss_cls: 5.8484, loss: 5.8484 +2023-12-21 02:57:03,772 - pyskl - INFO - Epoch [26][800/1873] lr: 1.862e-01, eta: 23:07:05, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2487, top5_acc: 0.4950, loss_cls: 5.8805, loss: 5.8805 +2023-12-21 02:57:36,655 - pyskl - INFO - Epoch [26][900/1873] lr: 1.861e-01, eta: 23:06:16, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2495, top5_acc: 0.4987, loss_cls: 5.8652, loss: 5.8652 +2023-12-21 02:58:09,666 - pyskl - INFO - Epoch [26][1000/1873] lr: 1.860e-01, eta: 23:05:27, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2555, top5_acc: 0.5056, loss_cls: 5.8284, loss: 5.8284 +2023-12-21 02:58:42,559 - pyskl - INFO - Epoch [26][1100/1873] lr: 1.860e-01, eta: 23:04:38, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2498, top5_acc: 0.4975, loss_cls: 5.8793, loss: 5.8793 +2023-12-21 02:59:15,519 - pyskl - INFO - Epoch [26][1200/1873] lr: 1.859e-01, eta: 23:03:49, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2502, top5_acc: 0.5058, loss_cls: 5.8575, loss: 5.8575 +2023-12-21 02:59:48,350 - pyskl - INFO - Epoch [26][1300/1873] lr: 1.859e-01, eta: 23:03:00, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2445, top5_acc: 0.4911, loss_cls: 5.9028, loss: 5.9028 +2023-12-21 03:00:21,368 - pyskl - INFO - Epoch [26][1400/1873] lr: 1.858e-01, eta: 23:02:12, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2499, top5_acc: 0.4940, loss_cls: 5.8747, loss: 5.8747 +2023-12-21 03:00:54,398 - pyskl - INFO - Epoch [26][1500/1873] lr: 1.858e-01, eta: 23:01:24, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2484, top5_acc: 0.4988, loss_cls: 5.8617, loss: 5.8617 +2023-12-21 03:01:27,464 - pyskl - INFO - Epoch [26][1600/1873] lr: 1.857e-01, eta: 23:00:36, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2530, top5_acc: 0.5044, loss_cls: 5.8420, loss: 5.8420 +2023-12-21 03:02:00,416 - pyskl - INFO - Epoch [26][1700/1873] lr: 1.856e-01, eta: 22:59:47, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2516, top5_acc: 0.5026, loss_cls: 5.8524, loss: 5.8524 +2023-12-21 03:02:33,279 - pyskl - INFO - Epoch [26][1800/1873] lr: 1.856e-01, eta: 22:58:58, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2496, top5_acc: 0.4958, loss_cls: 5.8682, loss: 5.8682 +2023-12-21 03:03:01,058 - pyskl - INFO - Saving checkpoint at 26 epochs +2023-12-21 03:03:51,382 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 03:03:52,131 - pyskl - INFO - +top1_acc 0.1735 +top5_acc 0.3915 +2023-12-21 03:03:52,131 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 03:03:52,162 - pyskl - INFO - +mean_acc 0.1733 +2023-12-21 03:03:52,170 - pyskl - INFO - Epoch(val) [26][155] top1_acc: 0.1735, top5_acc: 0.3915, mean_class_accuracy: 0.1733 +2023-12-21 03:05:35,365 - pyskl - INFO - Epoch [27][100/1873] lr: 1.855e-01, eta: 23:01:15, time: 1.032, data_time: 0.694, memory: 8129, top1_acc: 0.2571, top5_acc: 0.5088, loss_cls: 5.8163, loss: 5.8163 +2023-12-21 03:06:08,271 - pyskl - INFO - Epoch [27][200/1873] lr: 1.854e-01, eta: 23:00:26, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2516, top5_acc: 0.4947, loss_cls: 5.8574, loss: 5.8574 +2023-12-21 03:06:41,146 - pyskl - INFO - Epoch [27][300/1873] lr: 1.854e-01, eta: 22:59:37, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2543, top5_acc: 0.5096, loss_cls: 5.8180, loss: 5.8180 +2023-12-21 03:07:14,040 - pyskl - INFO - Epoch [27][400/1873] lr: 1.853e-01, eta: 22:58:48, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2536, top5_acc: 0.5013, loss_cls: 5.8459, loss: 5.8459 +2023-12-21 03:07:47,083 - pyskl - INFO - Epoch [27][500/1873] lr: 1.852e-01, eta: 22:58:00, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2505, top5_acc: 0.5010, loss_cls: 5.8524, loss: 5.8524 +2023-12-21 03:08:20,291 - pyskl - INFO - Epoch [27][600/1873] lr: 1.852e-01, eta: 22:57:12, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2574, top5_acc: 0.4956, loss_cls: 5.8570, loss: 5.8570 +2023-12-21 03:08:53,392 - pyskl - INFO - Epoch [27][700/1873] lr: 1.851e-01, eta: 22:56:25, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2499, top5_acc: 0.5000, loss_cls: 5.8607, loss: 5.8607 +2023-12-21 03:09:26,557 - pyskl - INFO - Epoch [27][800/1873] lr: 1.851e-01, eta: 22:55:37, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2563, top5_acc: 0.4996, loss_cls: 5.8475, loss: 5.8475 +2023-12-21 03:09:59,736 - pyskl - INFO - Epoch [27][900/1873] lr: 1.850e-01, eta: 22:54:50, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2502, top5_acc: 0.4969, loss_cls: 5.8725, loss: 5.8725 +2023-12-21 03:10:32,786 - pyskl - INFO - Epoch [27][1000/1873] lr: 1.850e-01, eta: 22:54:02, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2483, top5_acc: 0.4966, loss_cls: 5.8764, loss: 5.8764 +2023-12-21 03:11:05,766 - pyskl - INFO - Epoch [27][1100/1873] lr: 1.849e-01, eta: 22:53:14, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2557, top5_acc: 0.5034, loss_cls: 5.8337, loss: 5.8337 +2023-12-21 03:11:38,655 - pyskl - INFO - Epoch [27][1200/1873] lr: 1.848e-01, eta: 22:52:26, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2464, top5_acc: 0.4970, loss_cls: 5.8881, loss: 5.8881 +2023-12-21 03:12:11,802 - pyskl - INFO - Epoch [27][1300/1873] lr: 1.848e-01, eta: 22:51:39, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2512, top5_acc: 0.4974, loss_cls: 5.8541, loss: 5.8541 +2023-12-21 03:12:44,816 - pyskl - INFO - Epoch [27][1400/1873] lr: 1.847e-01, eta: 22:50:51, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2537, top5_acc: 0.5047, loss_cls: 5.8485, loss: 5.8485 +2023-12-21 03:13:17,954 - pyskl - INFO - Epoch [27][1500/1873] lr: 1.847e-01, eta: 22:50:04, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2522, top5_acc: 0.5019, loss_cls: 5.8627, loss: 5.8627 +2023-12-21 03:13:50,895 - pyskl - INFO - Epoch [27][1600/1873] lr: 1.846e-01, eta: 22:49:16, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2495, top5_acc: 0.5015, loss_cls: 5.8623, loss: 5.8623 +2023-12-21 03:14:24,023 - pyskl - INFO - Epoch [27][1700/1873] lr: 1.845e-01, eta: 22:48:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2507, top5_acc: 0.5023, loss_cls: 5.8331, loss: 5.8331 +2023-12-21 03:14:57,030 - pyskl - INFO - Epoch [27][1800/1873] lr: 1.845e-01, eta: 22:47:41, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2498, top5_acc: 0.4985, loss_cls: 5.8643, loss: 5.8643 +2023-12-21 03:15:24,236 - pyskl - INFO - Saving checkpoint at 27 epochs +2023-12-21 03:16:14,999 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 03:16:16,033 - pyskl - INFO - +top1_acc 0.1543 +top5_acc 0.3728 +2023-12-21 03:16:16,033 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 03:16:16,070 - pyskl - INFO - +mean_acc 0.1542 +2023-12-21 03:16:16,079 - pyskl - INFO - Epoch(val) [27][155] top1_acc: 0.1543, top5_acc: 0.3728, mean_class_accuracy: 0.1542 +2023-12-21 03:17:58,703 - pyskl - INFO - Epoch [28][100/1873] lr: 1.844e-01, eta: 22:49:46, time: 1.026, data_time: 0.656, memory: 8129, top1_acc: 0.2583, top5_acc: 0.5052, loss_cls: 5.8144, loss: 5.8144 +2023-12-21 03:18:31,424 - pyskl - INFO - Epoch [28][200/1873] lr: 1.843e-01, eta: 22:48:57, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2558, top5_acc: 0.5019, loss_cls: 5.8398, loss: 5.8398 +2023-12-21 03:19:04,434 - pyskl - INFO - Epoch [28][300/1873] lr: 1.843e-01, eta: 22:48:09, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2550, top5_acc: 0.5020, loss_cls: 5.8313, loss: 5.8313 +2023-12-21 03:19:37,191 - pyskl - INFO - Epoch [28][400/1873] lr: 1.842e-01, eta: 22:47:20, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2552, top5_acc: 0.5052, loss_cls: 5.8358, loss: 5.8358 +2023-12-21 03:20:10,188 - pyskl - INFO - Epoch [28][500/1873] lr: 1.841e-01, eta: 22:46:32, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2541, top5_acc: 0.4973, loss_cls: 5.8531, loss: 5.8531 +2023-12-21 03:20:42,965 - pyskl - INFO - Epoch [28][600/1873] lr: 1.841e-01, eta: 22:45:44, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2525, top5_acc: 0.5006, loss_cls: 5.8706, loss: 5.8706 +2023-12-21 03:21:15,831 - pyskl - INFO - Epoch [28][700/1873] lr: 1.840e-01, eta: 22:44:56, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2546, top5_acc: 0.5041, loss_cls: 5.8329, loss: 5.8329 +2023-12-21 03:21:48,513 - pyskl - INFO - Epoch [28][800/1873] lr: 1.840e-01, eta: 22:44:07, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2455, top5_acc: 0.4901, loss_cls: 5.8952, loss: 5.8952 +2023-12-21 03:22:21,364 - pyskl - INFO - Epoch [28][900/1873] lr: 1.839e-01, eta: 22:43:19, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2499, top5_acc: 0.4947, loss_cls: 5.8697, loss: 5.8697 +2023-12-21 03:22:54,187 - pyskl - INFO - Epoch [28][1000/1873] lr: 1.838e-01, eta: 22:42:30, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2542, top5_acc: 0.4995, loss_cls: 5.8601, loss: 5.8601 +2023-12-21 03:23:27,134 - pyskl - INFO - Epoch [28][1100/1873] lr: 1.838e-01, eta: 22:41:43, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2547, top5_acc: 0.5060, loss_cls: 5.8413, loss: 5.8413 +2023-12-21 03:23:59,994 - pyskl - INFO - Epoch [28][1200/1873] lr: 1.837e-01, eta: 22:40:55, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2520, top5_acc: 0.5027, loss_cls: 5.8350, loss: 5.8350 +2023-12-21 03:24:32,933 - pyskl - INFO - Epoch [28][1300/1873] lr: 1.836e-01, eta: 22:40:07, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2578, top5_acc: 0.5070, loss_cls: 5.8455, loss: 5.8455 +2023-12-21 03:25:05,705 - pyskl - INFO - Epoch [28][1400/1873] lr: 1.836e-01, eta: 22:39:19, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2522, top5_acc: 0.5009, loss_cls: 5.8469, loss: 5.8469 +2023-12-21 03:25:38,520 - pyskl - INFO - Epoch [28][1500/1873] lr: 1.835e-01, eta: 22:38:31, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2571, top5_acc: 0.5063, loss_cls: 5.8409, loss: 5.8409 +2023-12-21 03:26:11,455 - pyskl - INFO - Epoch [28][1600/1873] lr: 1.835e-01, eta: 22:37:44, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2530, top5_acc: 0.5048, loss_cls: 5.8493, loss: 5.8493 +2023-12-21 03:26:44,231 - pyskl - INFO - Epoch [28][1700/1873] lr: 1.834e-01, eta: 22:36:56, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2501, top5_acc: 0.4972, loss_cls: 5.8551, loss: 5.8551 +2023-12-21 03:27:17,098 - pyskl - INFO - Epoch [28][1800/1873] lr: 1.833e-01, eta: 22:36:08, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2542, top5_acc: 0.5013, loss_cls: 5.8356, loss: 5.8356 +2023-12-21 03:27:43,909 - pyskl - INFO - Saving checkpoint at 28 epochs +2023-12-21 03:28:32,795 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 03:28:33,504 - pyskl - INFO - +top1_acc 0.1738 +top5_acc 0.4031 +2023-12-21 03:28:33,505 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 03:28:33,535 - pyskl - INFO - +mean_acc 0.1738 +2023-12-21 03:28:33,544 - pyskl - INFO - Epoch(val) [28][155] top1_acc: 0.1738, top5_acc: 0.4031, mean_class_accuracy: 0.1738 +2023-12-21 03:30:17,071 - pyskl - INFO - Epoch [29][100/1873] lr: 1.832e-01, eta: 22:38:09, time: 1.035, data_time: 0.705, memory: 8129, top1_acc: 0.2498, top5_acc: 0.5021, loss_cls: 5.8380, loss: 5.8380 +2023-12-21 03:30:49,810 - pyskl - INFO - Epoch [29][200/1873] lr: 1.832e-01, eta: 22:37:21, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2602, top5_acc: 0.5077, loss_cls: 5.8029, loss: 5.8029 +2023-12-21 03:31:22,711 - pyskl - INFO - Epoch [29][300/1873] lr: 1.831e-01, eta: 22:36:33, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2516, top5_acc: 0.5017, loss_cls: 5.8381, loss: 5.8381 +2023-12-21 03:31:55,641 - pyskl - INFO - Epoch [29][400/1873] lr: 1.830e-01, eta: 22:35:45, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2568, top5_acc: 0.5069, loss_cls: 5.7877, loss: 5.7877 +2023-12-21 03:32:28,650 - pyskl - INFO - Epoch [29][500/1873] lr: 1.830e-01, eta: 22:34:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2464, top5_acc: 0.4995, loss_cls: 5.8619, loss: 5.8619 +2023-12-21 03:33:01,503 - pyskl - INFO - Epoch [29][600/1873] lr: 1.829e-01, eta: 22:34:11, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2467, top5_acc: 0.4921, loss_cls: 5.8727, loss: 5.8727 +2023-12-21 03:33:34,553 - pyskl - INFO - Epoch [29][700/1873] lr: 1.829e-01, eta: 22:33:24, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2530, top5_acc: 0.5005, loss_cls: 5.8375, loss: 5.8375 +2023-12-21 03:34:07,460 - pyskl - INFO - Epoch [29][800/1873] lr: 1.828e-01, eta: 22:32:36, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2553, top5_acc: 0.4998, loss_cls: 5.8339, loss: 5.8339 +2023-12-21 03:34:40,332 - pyskl - INFO - Epoch [29][900/1873] lr: 1.827e-01, eta: 22:31:49, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2593, top5_acc: 0.5054, loss_cls: 5.8414, loss: 5.8414 +2023-12-21 03:35:13,273 - pyskl - INFO - Epoch [29][1000/1873] lr: 1.827e-01, eta: 22:31:02, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2509, top5_acc: 0.5036, loss_cls: 5.8590, loss: 5.8590 +2023-12-21 03:35:46,070 - pyskl - INFO - Epoch [29][1100/1873] lr: 1.826e-01, eta: 22:30:14, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2547, top5_acc: 0.4998, loss_cls: 5.8536, loss: 5.8536 +2023-12-21 03:36:19,137 - pyskl - INFO - Epoch [29][1200/1873] lr: 1.825e-01, eta: 22:29:28, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2508, top5_acc: 0.5019, loss_cls: 5.8599, loss: 5.8599 +2023-12-21 03:36:52,144 - pyskl - INFO - Epoch [29][1300/1873] lr: 1.825e-01, eta: 22:28:41, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2577, top5_acc: 0.5078, loss_cls: 5.8216, loss: 5.8216 +2023-12-21 03:37:25,106 - pyskl - INFO - Epoch [29][1400/1873] lr: 1.824e-01, eta: 22:27:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2612, top5_acc: 0.5051, loss_cls: 5.8160, loss: 5.8160 +2023-12-21 03:37:58,124 - pyskl - INFO - Epoch [29][1500/1873] lr: 1.824e-01, eta: 22:27:08, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2544, top5_acc: 0.5050, loss_cls: 5.8246, loss: 5.8246 +2023-12-21 03:38:31,158 - pyskl - INFO - Epoch [29][1600/1873] lr: 1.823e-01, eta: 22:26:21, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2554, top5_acc: 0.5012, loss_cls: 5.8597, loss: 5.8597 +2023-12-21 03:39:04,151 - pyskl - INFO - Epoch [29][1700/1873] lr: 1.822e-01, eta: 22:25:35, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2526, top5_acc: 0.5002, loss_cls: 5.8408, loss: 5.8408 +2023-12-21 03:39:37,038 - pyskl - INFO - Epoch [29][1800/1873] lr: 1.822e-01, eta: 22:24:48, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2564, top5_acc: 0.5024, loss_cls: 5.8398, loss: 5.8398 +2023-12-21 03:40:04,390 - pyskl - INFO - Saving checkpoint at 29 epochs +2023-12-21 03:40:55,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 03:40:55,928 - pyskl - INFO - +top1_acc 0.1648 +top5_acc 0.3862 +2023-12-21 03:40:55,928 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 03:40:55,963 - pyskl - INFO - +mean_acc 0.1646 +2023-12-21 03:40:55,972 - pyskl - INFO - Epoch(val) [29][155] top1_acc: 0.1648, top5_acc: 0.3862, mean_class_accuracy: 0.1646 +2023-12-21 03:42:40,657 - pyskl - INFO - Epoch [30][100/1873] lr: 1.821e-01, eta: 22:26:46, time: 1.047, data_time: 0.698, memory: 8129, top1_acc: 0.2558, top5_acc: 0.5105, loss_cls: 5.8009, loss: 5.8009 +2023-12-21 03:43:13,495 - pyskl - INFO - Epoch [30][200/1873] lr: 1.820e-01, eta: 22:25:58, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2531, top5_acc: 0.4973, loss_cls: 5.8471, loss: 5.8471 +2023-12-21 03:43:46,274 - pyskl - INFO - Epoch [30][300/1873] lr: 1.819e-01, eta: 22:25:11, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2515, top5_acc: 0.4991, loss_cls: 5.8589, loss: 5.8589 +2023-12-21 03:44:19,319 - pyskl - INFO - Epoch [30][400/1873] lr: 1.819e-01, eta: 22:24:24, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2507, top5_acc: 0.4990, loss_cls: 5.8438, loss: 5.8438 +2023-12-21 03:44:52,245 - pyskl - INFO - Epoch [30][500/1873] lr: 1.818e-01, eta: 22:23:37, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2524, top5_acc: 0.5053, loss_cls: 5.8252, loss: 5.8252 +2023-12-21 03:45:25,367 - pyskl - INFO - Epoch [30][600/1873] lr: 1.817e-01, eta: 22:22:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2530, top5_acc: 0.4973, loss_cls: 5.8435, loss: 5.8435 +2023-12-21 03:45:58,588 - pyskl - INFO - Epoch [30][700/1873] lr: 1.817e-01, eta: 22:22:06, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2582, top5_acc: 0.5118, loss_cls: 5.8006, loss: 5.8006 +2023-12-21 03:46:31,655 - pyskl - INFO - Epoch [30][800/1873] lr: 1.816e-01, eta: 22:21:19, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2589, top5_acc: 0.5113, loss_cls: 5.8189, loss: 5.8189 +2023-12-21 03:47:04,741 - pyskl - INFO - Epoch [30][900/1873] lr: 1.815e-01, eta: 22:20:33, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2553, top5_acc: 0.4990, loss_cls: 5.8281, loss: 5.8281 +2023-12-21 03:47:37,666 - pyskl - INFO - Epoch [30][1000/1873] lr: 1.815e-01, eta: 22:19:47, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2520, top5_acc: 0.5046, loss_cls: 5.8335, loss: 5.8335 +2023-12-21 03:48:10,649 - pyskl - INFO - Epoch [30][1100/1873] lr: 1.814e-01, eta: 22:19:00, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2592, top5_acc: 0.5012, loss_cls: 5.8192, loss: 5.8192 +2023-12-21 03:48:43,635 - pyskl - INFO - Epoch [30][1200/1873] lr: 1.813e-01, eta: 22:18:14, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2527, top5_acc: 0.4968, loss_cls: 5.8418, loss: 5.8418 +2023-12-21 03:49:16,488 - pyskl - INFO - Epoch [30][1300/1873] lr: 1.813e-01, eta: 22:17:27, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2573, top5_acc: 0.5083, loss_cls: 5.8073, loss: 5.8073 +2023-12-21 03:49:49,348 - pyskl - INFO - Epoch [30][1400/1873] lr: 1.812e-01, eta: 22:16:40, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2563, top5_acc: 0.5009, loss_cls: 5.8218, loss: 5.8218 +2023-12-21 03:50:22,324 - pyskl - INFO - Epoch [30][1500/1873] lr: 1.811e-01, eta: 22:15:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2545, top5_acc: 0.5114, loss_cls: 5.8450, loss: 5.8450 +2023-12-21 03:50:55,144 - pyskl - INFO - Epoch [30][1600/1873] lr: 1.811e-01, eta: 22:15:07, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2530, top5_acc: 0.4991, loss_cls: 5.8346, loss: 5.8346 +2023-12-21 03:51:28,065 - pyskl - INFO - Epoch [30][1700/1873] lr: 1.810e-01, eta: 22:14:21, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2596, top5_acc: 0.5009, loss_cls: 5.8561, loss: 5.8561 +2023-12-21 03:52:00,866 - pyskl - INFO - Epoch [30][1800/1873] lr: 1.810e-01, eta: 22:13:34, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2539, top5_acc: 0.5019, loss_cls: 5.8503, loss: 5.8503 +2023-12-21 03:52:27,879 - pyskl - INFO - Saving checkpoint at 30 epochs +2023-12-21 03:53:18,814 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 03:53:19,769 - pyskl - INFO - +top1_acc 0.1973 +top5_acc 0.4318 +2023-12-21 03:53:19,769 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 03:53:19,803 - pyskl - INFO - +mean_acc 0.1972 +2023-12-21 03:53:19,813 - pyskl - INFO - Epoch(val) [30][155] top1_acc: 0.1973, top5_acc: 0.4318, mean_class_accuracy: 0.1972 +2023-12-21 03:55:02,320 - pyskl - INFO - Epoch [31][100/1873] lr: 1.808e-01, eta: 22:15:16, time: 1.025, data_time: 0.695, memory: 8129, top1_acc: 0.2545, top5_acc: 0.5022, loss_cls: 5.8264, loss: 5.8264 +2023-12-21 03:55:35,279 - pyskl - INFO - Epoch [31][200/1873] lr: 1.808e-01, eta: 22:14:29, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2620, top5_acc: 0.5061, loss_cls: 5.7925, loss: 5.7925 +2023-12-21 03:56:08,219 - pyskl - INFO - Epoch [31][300/1873] lr: 1.807e-01, eta: 22:13:43, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2582, top5_acc: 0.5122, loss_cls: 5.7960, loss: 5.7960 +2023-12-21 03:56:41,274 - pyskl - INFO - Epoch [31][400/1873] lr: 1.806e-01, eta: 22:12:57, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2550, top5_acc: 0.5048, loss_cls: 5.8291, loss: 5.8291 +2023-12-21 03:57:14,307 - pyskl - INFO - Epoch [31][500/1873] lr: 1.806e-01, eta: 22:12:11, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2580, top5_acc: 0.5034, loss_cls: 5.8450, loss: 5.8450 +2023-12-21 03:57:47,081 - pyskl - INFO - Epoch [31][600/1873] lr: 1.805e-01, eta: 22:11:24, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2576, top5_acc: 0.5068, loss_cls: 5.8184, loss: 5.8184 +2023-12-21 03:58:20,278 - pyskl - INFO - Epoch [31][700/1873] lr: 1.804e-01, eta: 22:10:39, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2559, top5_acc: 0.5063, loss_cls: 5.8223, loss: 5.8223 +2023-12-21 03:58:53,110 - pyskl - INFO - Epoch [31][800/1873] lr: 1.804e-01, eta: 22:09:52, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2574, top5_acc: 0.5089, loss_cls: 5.8251, loss: 5.8251 +2023-12-21 03:59:25,952 - pyskl - INFO - Epoch [31][900/1873] lr: 1.803e-01, eta: 22:09:06, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2580, top5_acc: 0.5096, loss_cls: 5.8068, loss: 5.8068 +2023-12-21 03:59:58,898 - pyskl - INFO - Epoch [31][1000/1873] lr: 1.802e-01, eta: 22:08:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2547, top5_acc: 0.5045, loss_cls: 5.8345, loss: 5.8345 +2023-12-21 04:00:31,995 - pyskl - INFO - Epoch [31][1100/1873] lr: 1.802e-01, eta: 22:07:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2527, top5_acc: 0.5027, loss_cls: 5.8399, loss: 5.8399 +2023-12-21 04:01:05,044 - pyskl - INFO - Epoch [31][1200/1873] lr: 1.801e-01, eta: 22:06:48, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2549, top5_acc: 0.5033, loss_cls: 5.8214, loss: 5.8214 +2023-12-21 04:01:38,042 - pyskl - INFO - Epoch [31][1300/1873] lr: 1.800e-01, eta: 22:06:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2565, top5_acc: 0.5039, loss_cls: 5.8163, loss: 5.8163 +2023-12-21 04:02:10,957 - pyskl - INFO - Epoch [31][1400/1873] lr: 1.800e-01, eta: 22:05:17, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2617, top5_acc: 0.5049, loss_cls: 5.8463, loss: 5.8463 +2023-12-21 04:02:43,783 - pyskl - INFO - Epoch [31][1500/1873] lr: 1.799e-01, eta: 22:04:30, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2522, top5_acc: 0.4995, loss_cls: 5.8436, loss: 5.8436 +2023-12-21 04:03:16,873 - pyskl - INFO - Epoch [31][1600/1873] lr: 1.798e-01, eta: 22:03:45, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2560, top5_acc: 0.4963, loss_cls: 5.8317, loss: 5.8317 +2023-12-21 04:03:49,861 - pyskl - INFO - Epoch [31][1700/1873] lr: 1.798e-01, eta: 22:02:59, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2555, top5_acc: 0.5003, loss_cls: 5.8577, loss: 5.8577 +2023-12-21 04:04:22,860 - pyskl - INFO - Epoch [31][1800/1873] lr: 1.797e-01, eta: 22:02:14, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2591, top5_acc: 0.5098, loss_cls: 5.8266, loss: 5.8266 +2023-12-21 04:04:50,743 - pyskl - INFO - Saving checkpoint at 31 epochs +2023-12-21 04:05:39,392 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 04:05:40,443 - pyskl - INFO - +top1_acc 0.1500 +top5_acc 0.3567 +2023-12-21 04:05:40,443 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 04:05:40,484 - pyskl - INFO - +mean_acc 0.1498 +2023-12-21 04:05:40,495 - pyskl - INFO - Epoch(val) [31][155] top1_acc: 0.1500, top5_acc: 0.3567, mean_class_accuracy: 0.1498 +2023-12-21 04:07:20,201 - pyskl - INFO - Epoch [32][100/1873] lr: 1.796e-01, eta: 22:03:38, time: 0.997, data_time: 0.662, memory: 8129, top1_acc: 0.2601, top5_acc: 0.5193, loss_cls: 5.7710, loss: 5.7710 +2023-12-21 04:07:53,407 - pyskl - INFO - Epoch [32][200/1873] lr: 1.795e-01, eta: 22:02:53, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2568, top5_acc: 0.5054, loss_cls: 5.8154, loss: 5.8154 +2023-12-21 04:08:26,482 - pyskl - INFO - Epoch [32][300/1873] lr: 1.795e-01, eta: 22:02:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2648, top5_acc: 0.5126, loss_cls: 5.7981, loss: 5.7981 +2023-12-21 04:08:59,596 - pyskl - INFO - Epoch [32][400/1873] lr: 1.794e-01, eta: 22:01:23, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2623, top5_acc: 0.5113, loss_cls: 5.7934, loss: 5.7934 +2023-12-21 04:09:32,837 - pyskl - INFO - Epoch [32][500/1873] lr: 1.793e-01, eta: 22:00:38, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2545, top5_acc: 0.5005, loss_cls: 5.8357, loss: 5.8357 +2023-12-21 04:10:06,256 - pyskl - INFO - Epoch [32][600/1873] lr: 1.792e-01, eta: 21:59:54, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2589, top5_acc: 0.5090, loss_cls: 5.8066, loss: 5.8066 +2023-12-21 04:10:39,317 - pyskl - INFO - Epoch [32][700/1873] lr: 1.792e-01, eta: 21:59:09, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2588, top5_acc: 0.5121, loss_cls: 5.7953, loss: 5.7953 +2023-12-21 04:11:12,679 - pyskl - INFO - Epoch [32][800/1873] lr: 1.791e-01, eta: 21:58:24, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2564, top5_acc: 0.5075, loss_cls: 5.8340, loss: 5.8340 +2023-12-21 04:11:46,031 - pyskl - INFO - Epoch [32][900/1873] lr: 1.790e-01, eta: 21:57:40, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2560, top5_acc: 0.5055, loss_cls: 5.8411, loss: 5.8411 +2023-12-21 04:12:19,207 - pyskl - INFO - Epoch [32][1000/1873] lr: 1.790e-01, eta: 21:56:55, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2509, top5_acc: 0.5053, loss_cls: 5.8203, loss: 5.8203 +2023-12-21 04:12:52,592 - pyskl - INFO - Epoch [32][1100/1873] lr: 1.789e-01, eta: 21:56:11, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2545, top5_acc: 0.5023, loss_cls: 5.8353, loss: 5.8353 +2023-12-21 04:13:25,832 - pyskl - INFO - Epoch [32][1200/1873] lr: 1.788e-01, eta: 21:55:27, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2502, top5_acc: 0.4995, loss_cls: 5.8459, loss: 5.8459 +2023-12-21 04:13:59,036 - pyskl - INFO - Epoch [32][1300/1873] lr: 1.788e-01, eta: 21:54:42, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2566, top5_acc: 0.5064, loss_cls: 5.8115, loss: 5.8115 +2023-12-21 04:14:32,114 - pyskl - INFO - Epoch [32][1400/1873] lr: 1.787e-01, eta: 21:53:57, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2600, top5_acc: 0.5097, loss_cls: 5.8018, loss: 5.8018 +2023-12-21 04:15:05,143 - pyskl - INFO - Epoch [32][1500/1873] lr: 1.786e-01, eta: 21:53:12, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2560, top5_acc: 0.5052, loss_cls: 5.8137, loss: 5.8137 +2023-12-21 04:15:38,287 - pyskl - INFO - Epoch [32][1600/1873] lr: 1.786e-01, eta: 21:52:28, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2490, top5_acc: 0.4949, loss_cls: 5.8701, loss: 5.8701 +2023-12-21 04:16:11,240 - pyskl - INFO - Epoch [32][1700/1873] lr: 1.785e-01, eta: 21:51:42, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2545, top5_acc: 0.5111, loss_cls: 5.8150, loss: 5.8150 +2023-12-21 04:16:44,341 - pyskl - INFO - Epoch [32][1800/1873] lr: 1.784e-01, eta: 21:50:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2517, top5_acc: 0.4989, loss_cls: 5.8477, loss: 5.8477 +2023-12-21 04:17:11,932 - pyskl - INFO - Saving checkpoint at 32 epochs +2023-12-21 04:18:01,466 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 04:18:02,380 - pyskl - INFO - +top1_acc 0.1906 +top5_acc 0.4221 +2023-12-21 04:18:02,381 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 04:18:02,411 - pyskl - INFO - +mean_acc 0.1904 +2023-12-21 04:18:02,420 - pyskl - INFO - Epoch(val) [32][155] top1_acc: 0.1906, top5_acc: 0.4221, mean_class_accuracy: 0.1904 +2023-12-21 04:19:46,063 - pyskl - INFO - Epoch [33][100/1873] lr: 1.783e-01, eta: 21:52:31, time: 1.036, data_time: 0.706, memory: 8129, top1_acc: 0.2634, top5_acc: 0.5150, loss_cls: 5.7803, loss: 5.7803 +2023-12-21 04:20:19,098 - pyskl - INFO - Epoch [33][200/1873] lr: 1.782e-01, eta: 21:51:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2662, top5_acc: 0.5181, loss_cls: 5.7666, loss: 5.7666 +2023-12-21 04:20:52,218 - pyskl - INFO - Epoch [33][300/1873] lr: 1.782e-01, eta: 21:51:01, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2582, top5_acc: 0.5105, loss_cls: 5.8021, loss: 5.8021 +2023-12-21 04:21:25,621 - pyskl - INFO - Epoch [33][400/1873] lr: 1.781e-01, eta: 21:50:17, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2539, top5_acc: 0.5016, loss_cls: 5.8563, loss: 5.8563 +2023-12-21 04:21:58,827 - pyskl - INFO - Epoch [33][500/1873] lr: 1.780e-01, eta: 21:49:32, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2607, top5_acc: 0.5048, loss_cls: 5.8114, loss: 5.8114 +2023-12-21 04:22:32,029 - pyskl - INFO - Epoch [33][600/1873] lr: 1.780e-01, eta: 21:48:48, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2538, top5_acc: 0.5073, loss_cls: 5.8205, loss: 5.8205 +2023-12-21 04:23:05,135 - pyskl - INFO - Epoch [33][700/1873] lr: 1.779e-01, eta: 21:48:03, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2609, top5_acc: 0.5126, loss_cls: 5.7901, loss: 5.7901 +2023-12-21 04:23:38,075 - pyskl - INFO - Epoch [33][800/1873] lr: 1.778e-01, eta: 21:47:18, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2568, top5_acc: 0.5072, loss_cls: 5.8114, loss: 5.8114 +2023-12-21 04:24:11,081 - pyskl - INFO - Epoch [33][900/1873] lr: 1.777e-01, eta: 21:46:33, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2533, top5_acc: 0.4990, loss_cls: 5.8341, loss: 5.8341 +2023-12-21 04:24:44,161 - pyskl - INFO - Epoch [33][1000/1873] lr: 1.777e-01, eta: 21:45:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2545, top5_acc: 0.5077, loss_cls: 5.8143, loss: 5.8143 +2023-12-21 04:25:17,277 - pyskl - INFO - Epoch [33][1100/1873] lr: 1.776e-01, eta: 21:45:03, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2548, top5_acc: 0.5003, loss_cls: 5.8039, loss: 5.8039 +2023-12-21 04:25:50,347 - pyskl - INFO - Epoch [33][1200/1873] lr: 1.775e-01, eta: 21:44:19, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2548, top5_acc: 0.5009, loss_cls: 5.8362, loss: 5.8362 +2023-12-21 04:26:23,624 - pyskl - INFO - Epoch [33][1300/1873] lr: 1.775e-01, eta: 21:43:35, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2585, top5_acc: 0.5025, loss_cls: 5.8304, loss: 5.8304 +2023-12-21 04:26:56,688 - pyskl - INFO - Epoch [33][1400/1873] lr: 1.774e-01, eta: 21:42:50, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2609, top5_acc: 0.5109, loss_cls: 5.7808, loss: 5.7808 +2023-12-21 04:27:29,557 - pyskl - INFO - Epoch [33][1500/1873] lr: 1.773e-01, eta: 21:42:05, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2555, top5_acc: 0.5002, loss_cls: 5.8388, loss: 5.8388 +2023-12-21 04:28:02,527 - pyskl - INFO - Epoch [33][1600/1873] lr: 1.772e-01, eta: 21:41:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2575, top5_acc: 0.5065, loss_cls: 5.8151, loss: 5.8151 +2023-12-21 04:28:35,634 - pyskl - INFO - Epoch [33][1700/1873] lr: 1.772e-01, eta: 21:40:35, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2518, top5_acc: 0.5042, loss_cls: 5.8413, loss: 5.8413 +2023-12-21 04:29:08,824 - pyskl - INFO - Epoch [33][1800/1873] lr: 1.771e-01, eta: 21:39:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2539, top5_acc: 0.5020, loss_cls: 5.8135, loss: 5.8135 +2023-12-21 04:29:35,819 - pyskl - INFO - Saving checkpoint at 33 epochs +2023-12-21 04:30:26,597 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 04:30:27,349 - pyskl - INFO - +top1_acc 0.1809 +top5_acc 0.4143 +2023-12-21 04:30:27,349 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 04:30:27,383 - pyskl - INFO - +mean_acc 0.1807 +2023-12-21 04:30:27,392 - pyskl - INFO - Epoch(val) [33][155] top1_acc: 0.1809, top5_acc: 0.4143, mean_class_accuracy: 0.1807 +2023-12-21 04:32:08,706 - pyskl - INFO - Epoch [34][100/1873] lr: 1.770e-01, eta: 21:41:10, time: 1.013, data_time: 0.680, memory: 8129, top1_acc: 0.2675, top5_acc: 0.5174, loss_cls: 5.7475, loss: 5.7475 +2023-12-21 04:32:41,650 - pyskl - INFO - Epoch [34][200/1873] lr: 1.769e-01, eta: 21:40:25, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2626, top5_acc: 0.5134, loss_cls: 5.7887, loss: 5.7887 +2023-12-21 04:33:14,600 - pyskl - INFO - Epoch [34][300/1873] lr: 1.768e-01, eta: 21:39:40, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2566, top5_acc: 0.5134, loss_cls: 5.7845, loss: 5.7845 +2023-12-21 04:33:47,673 - pyskl - INFO - Epoch [34][400/1873] lr: 1.768e-01, eta: 21:38:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2591, top5_acc: 0.5120, loss_cls: 5.8110, loss: 5.8110 +2023-12-21 04:34:20,850 - pyskl - INFO - Epoch [34][500/1873] lr: 1.767e-01, eta: 21:38:11, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2575, top5_acc: 0.5066, loss_cls: 5.8188, loss: 5.8188 +2023-12-21 04:34:53,690 - pyskl - INFO - Epoch [34][600/1873] lr: 1.766e-01, eta: 21:37:26, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2567, top5_acc: 0.5131, loss_cls: 5.7916, loss: 5.7916 +2023-12-21 04:35:26,683 - pyskl - INFO - Epoch [34][700/1873] lr: 1.766e-01, eta: 21:36:41, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2620, top5_acc: 0.5147, loss_cls: 5.7904, loss: 5.7904 +2023-12-21 04:35:59,826 - pyskl - INFO - Epoch [34][800/1873] lr: 1.765e-01, eta: 21:35:57, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2519, top5_acc: 0.4954, loss_cls: 5.8361, loss: 5.8361 +2023-12-21 04:36:32,748 - pyskl - INFO - Epoch [34][900/1873] lr: 1.764e-01, eta: 21:35:12, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2558, top5_acc: 0.5027, loss_cls: 5.8065, loss: 5.8065 +2023-12-21 04:37:05,820 - pyskl - INFO - Epoch [34][1000/1873] lr: 1.763e-01, eta: 21:34:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2522, top5_acc: 0.5023, loss_cls: 5.8347, loss: 5.8347 +2023-12-21 04:37:38,857 - pyskl - INFO - Epoch [34][1100/1873] lr: 1.763e-01, eta: 21:33:43, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2611, top5_acc: 0.5117, loss_cls: 5.8209, loss: 5.8209 +2023-12-21 04:38:11,681 - pyskl - INFO - Epoch [34][1200/1873] lr: 1.762e-01, eta: 21:32:58, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2655, top5_acc: 0.5136, loss_cls: 5.7925, loss: 5.7925 +2023-12-21 04:38:44,491 - pyskl - INFO - Epoch [34][1300/1873] lr: 1.761e-01, eta: 21:32:12, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2562, top5_acc: 0.5081, loss_cls: 5.8150, loss: 5.8150 +2023-12-21 04:39:17,535 - pyskl - INFO - Epoch [34][1400/1873] lr: 1.760e-01, eta: 21:31:28, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2624, top5_acc: 0.5102, loss_cls: 5.7877, loss: 5.7877 +2023-12-21 04:39:50,437 - pyskl - INFO - Epoch [34][1500/1873] lr: 1.760e-01, eta: 21:30:43, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2555, top5_acc: 0.5098, loss_cls: 5.8160, loss: 5.8160 +2023-12-21 04:40:23,262 - pyskl - INFO - Epoch [34][1600/1873] lr: 1.759e-01, eta: 21:29:58, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2612, top5_acc: 0.5110, loss_cls: 5.8019, loss: 5.8019 +2023-12-21 04:40:56,130 - pyskl - INFO - Epoch [34][1700/1873] lr: 1.758e-01, eta: 21:29:13, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2562, top5_acc: 0.5043, loss_cls: 5.8273, loss: 5.8273 +2023-12-21 04:41:29,298 - pyskl - INFO - Epoch [34][1800/1873] lr: 1.758e-01, eta: 21:28:29, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2630, top5_acc: 0.5070, loss_cls: 5.8028, loss: 5.8028 +2023-12-21 04:41:56,137 - pyskl - INFO - Saving checkpoint at 34 epochs +2023-12-21 04:42:47,274 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 04:42:48,178 - pyskl - INFO - +top1_acc 0.1715 +top5_acc 0.3980 +2023-12-21 04:42:48,178 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 04:42:48,213 - pyskl - INFO - +mean_acc 0.1712 +2023-12-21 04:42:48,222 - pyskl - INFO - Epoch(val) [34][155] top1_acc: 0.1715, top5_acc: 0.3980, mean_class_accuracy: 0.1712 +2023-12-21 04:44:29,987 - pyskl - INFO - Epoch [35][100/1873] lr: 1.756e-01, eta: 21:29:45, time: 1.018, data_time: 0.685, memory: 8129, top1_acc: 0.2622, top5_acc: 0.5145, loss_cls: 5.7647, loss: 5.7647 +2023-12-21 04:45:02,742 - pyskl - INFO - Epoch [35][200/1873] lr: 1.756e-01, eta: 21:28:59, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2570, top5_acc: 0.5105, loss_cls: 5.8088, loss: 5.8088 +2023-12-21 04:45:35,632 - pyskl - INFO - Epoch [35][300/1873] lr: 1.755e-01, eta: 21:28:15, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2606, top5_acc: 0.5110, loss_cls: 5.7925, loss: 5.7925 +2023-12-21 04:46:08,583 - pyskl - INFO - Epoch [35][400/1873] lr: 1.754e-01, eta: 21:27:30, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2674, top5_acc: 0.5109, loss_cls: 5.7847, loss: 5.7847 +2023-12-21 04:46:41,656 - pyskl - INFO - Epoch [35][500/1873] lr: 1.753e-01, eta: 21:26:46, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2515, top5_acc: 0.5053, loss_cls: 5.8066, loss: 5.8066 +2023-12-21 04:47:14,552 - pyskl - INFO - Epoch [35][600/1873] lr: 1.753e-01, eta: 21:26:01, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2652, top5_acc: 0.5184, loss_cls: 5.7674, loss: 5.7674 +2023-12-21 04:47:47,474 - pyskl - INFO - Epoch [35][700/1873] lr: 1.752e-01, eta: 21:25:16, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2620, top5_acc: 0.5052, loss_cls: 5.8127, loss: 5.8127 +2023-12-21 04:48:20,516 - pyskl - INFO - Epoch [35][800/1873] lr: 1.751e-01, eta: 21:24:32, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2621, top5_acc: 0.5135, loss_cls: 5.7784, loss: 5.7784 +2023-12-21 04:48:53,495 - pyskl - INFO - Epoch [35][900/1873] lr: 1.750e-01, eta: 21:23:48, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2589, top5_acc: 0.5118, loss_cls: 5.7886, loss: 5.7886 +2023-12-21 04:49:26,385 - pyskl - INFO - Epoch [35][1000/1873] lr: 1.750e-01, eta: 21:23:03, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2533, top5_acc: 0.5053, loss_cls: 5.8255, loss: 5.8255 +2023-12-21 04:49:59,298 - pyskl - INFO - Epoch [35][1100/1873] lr: 1.749e-01, eta: 21:22:18, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2561, top5_acc: 0.5065, loss_cls: 5.8238, loss: 5.8238 +2023-12-21 04:50:32,299 - pyskl - INFO - Epoch [35][1200/1873] lr: 1.748e-01, eta: 21:21:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2538, top5_acc: 0.5097, loss_cls: 5.8116, loss: 5.8116 +2023-12-21 04:51:05,326 - pyskl - INFO - Epoch [35][1300/1873] lr: 1.747e-01, eta: 21:20:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2497, top5_acc: 0.4991, loss_cls: 5.8317, loss: 5.8317 +2023-12-21 04:51:38,391 - pyskl - INFO - Epoch [35][1400/1873] lr: 1.747e-01, eta: 21:20:06, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2612, top5_acc: 0.5127, loss_cls: 5.7697, loss: 5.7697 +2023-12-21 04:52:11,540 - pyskl - INFO - Epoch [35][1500/1873] lr: 1.746e-01, eta: 21:19:22, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2570, top5_acc: 0.5044, loss_cls: 5.8088, loss: 5.8088 +2023-12-21 04:52:44,582 - pyskl - INFO - Epoch [35][1600/1873] lr: 1.745e-01, eta: 21:18:38, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2623, top5_acc: 0.5146, loss_cls: 5.7822, loss: 5.7822 +2023-12-21 04:53:17,660 - pyskl - INFO - Epoch [35][1700/1873] lr: 1.744e-01, eta: 21:17:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2669, top5_acc: 0.5134, loss_cls: 5.7991, loss: 5.7991 +2023-12-21 04:53:50,918 - pyskl - INFO - Epoch [35][1800/1873] lr: 1.744e-01, eta: 21:17:11, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2609, top5_acc: 0.5142, loss_cls: 5.7870, loss: 5.7870 +2023-12-21 04:54:18,085 - pyskl - INFO - Saving checkpoint at 35 epochs +2023-12-21 04:55:07,195 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 04:55:08,290 - pyskl - INFO - +top1_acc 0.1924 +top5_acc 0.4259 +2023-12-21 04:55:08,290 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 04:55:08,345 - pyskl - INFO - +mean_acc 0.1923 +2023-12-21 04:55:08,357 - pyskl - INFO - Epoch(val) [35][155] top1_acc: 0.1924, top5_acc: 0.4259, mean_class_accuracy: 0.1923 +2023-12-21 04:56:50,323 - pyskl - INFO - Epoch [36][100/1873] lr: 1.742e-01, eta: 21:18:23, time: 1.020, data_time: 0.644, memory: 8129, top1_acc: 0.2541, top5_acc: 0.5143, loss_cls: 5.7737, loss: 5.7737 +2023-12-21 04:57:23,389 - pyskl - INFO - Epoch [36][200/1873] lr: 1.742e-01, eta: 21:17:38, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2512, top5_acc: 0.4998, loss_cls: 5.8272, loss: 5.8272 +2023-12-21 04:57:56,177 - pyskl - INFO - Epoch [36][300/1873] lr: 1.741e-01, eta: 21:16:54, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2659, top5_acc: 0.5162, loss_cls: 5.7727, loss: 5.7727 +2023-12-21 04:58:29,155 - pyskl - INFO - Epoch [36][400/1873] lr: 1.740e-01, eta: 21:16:09, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2658, top5_acc: 0.5148, loss_cls: 5.7798, loss: 5.7798 +2023-12-21 04:59:02,144 - pyskl - INFO - Epoch [36][500/1873] lr: 1.739e-01, eta: 21:15:25, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2592, top5_acc: 0.5114, loss_cls: 5.7959, loss: 5.7959 +2023-12-21 04:59:34,995 - pyskl - INFO - Epoch [36][600/1873] lr: 1.739e-01, eta: 21:14:41, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2572, top5_acc: 0.5079, loss_cls: 5.8005, loss: 5.8005 +2023-12-21 05:00:07,941 - pyskl - INFO - Epoch [36][700/1873] lr: 1.738e-01, eta: 21:13:56, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2689, top5_acc: 0.5201, loss_cls: 5.7340, loss: 5.7340 +2023-12-21 05:00:41,032 - pyskl - INFO - Epoch [36][800/1873] lr: 1.737e-01, eta: 21:13:13, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2612, top5_acc: 0.5052, loss_cls: 5.8274, loss: 5.8274 +2023-12-21 05:01:14,046 - pyskl - INFO - Epoch [36][900/1873] lr: 1.736e-01, eta: 21:12:29, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2549, top5_acc: 0.5029, loss_cls: 5.8092, loss: 5.8092 +2023-12-21 05:01:47,197 - pyskl - INFO - Epoch [36][1000/1873] lr: 1.736e-01, eta: 21:11:45, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2636, top5_acc: 0.5098, loss_cls: 5.7761, loss: 5.7761 +2023-12-21 05:02:20,259 - pyskl - INFO - Epoch [36][1100/1873] lr: 1.735e-01, eta: 21:11:02, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2656, top5_acc: 0.5191, loss_cls: 5.7558, loss: 5.7558 +2023-12-21 05:02:53,407 - pyskl - INFO - Epoch [36][1200/1873] lr: 1.734e-01, eta: 21:10:18, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2644, top5_acc: 0.5173, loss_cls: 5.7691, loss: 5.7691 +2023-12-21 05:03:26,286 - pyskl - INFO - Epoch [36][1300/1873] lr: 1.733e-01, eta: 21:09:34, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2558, top5_acc: 0.5047, loss_cls: 5.8104, loss: 5.8104 +2023-12-21 05:03:59,412 - pyskl - INFO - Epoch [36][1400/1873] lr: 1.733e-01, eta: 21:08:50, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2665, top5_acc: 0.5127, loss_cls: 5.7854, loss: 5.7854 +2023-12-21 05:04:32,590 - pyskl - INFO - Epoch [36][1500/1873] lr: 1.732e-01, eta: 21:08:07, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2602, top5_acc: 0.5161, loss_cls: 5.7948, loss: 5.7948 +2023-12-21 05:05:05,629 - pyskl - INFO - Epoch [36][1600/1873] lr: 1.731e-01, eta: 21:07:24, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2630, top5_acc: 0.5176, loss_cls: 5.7730, loss: 5.7730 +2023-12-21 05:05:38,654 - pyskl - INFO - Epoch [36][1700/1873] lr: 1.730e-01, eta: 21:06:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2543, top5_acc: 0.5097, loss_cls: 5.8162, loss: 5.8162 +2023-12-21 05:06:11,723 - pyskl - INFO - Epoch [36][1800/1873] lr: 1.730e-01, eta: 21:05:56, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2548, top5_acc: 0.5077, loss_cls: 5.8281, loss: 5.8281 +2023-12-21 05:06:38,167 - pyskl - INFO - Saving checkpoint at 36 epochs +2023-12-21 05:07:27,170 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 05:07:27,908 - pyskl - INFO - +top1_acc 0.1814 +top5_acc 0.4068 +2023-12-21 05:07:27,908 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 05:07:27,951 - pyskl - INFO - +mean_acc 0.1813 +2023-12-21 05:07:27,966 - pyskl - INFO - Epoch(val) [36][155] top1_acc: 0.1814, top5_acc: 0.4068, mean_class_accuracy: 0.1813 +2023-12-21 05:09:15,231 - pyskl - INFO - Epoch [37][100/1873] lr: 1.728e-01, eta: 21:07:19, time: 1.072, data_time: 0.748, memory: 8129, top1_acc: 0.2672, top5_acc: 0.5113, loss_cls: 5.7789, loss: 5.7789 +2023-12-21 05:09:48,073 - pyskl - INFO - Epoch [37][200/1873] lr: 1.727e-01, eta: 21:06:35, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2591, top5_acc: 0.5134, loss_cls: 5.7860, loss: 5.7860 +2023-12-21 05:10:20,837 - pyskl - INFO - Epoch [37][300/1873] lr: 1.727e-01, eta: 21:05:50, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2588, top5_acc: 0.5098, loss_cls: 5.8002, loss: 5.8002 +2023-12-21 05:10:53,786 - pyskl - INFO - Epoch [37][400/1873] lr: 1.726e-01, eta: 21:05:06, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2668, top5_acc: 0.5091, loss_cls: 5.7777, loss: 5.7777 +2023-12-21 05:11:26,704 - pyskl - INFO - Epoch [37][500/1873] lr: 1.725e-01, eta: 21:04:22, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2618, top5_acc: 0.5188, loss_cls: 5.7670, loss: 5.7670 +2023-12-21 05:11:59,601 - pyskl - INFO - Epoch [37][600/1873] lr: 1.724e-01, eta: 21:03:38, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2621, top5_acc: 0.5118, loss_cls: 5.7827, loss: 5.7827 +2023-12-21 05:12:32,583 - pyskl - INFO - Epoch [37][700/1873] lr: 1.724e-01, eta: 21:02:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2606, top5_acc: 0.5081, loss_cls: 5.8120, loss: 5.8120 +2023-12-21 05:13:05,535 - pyskl - INFO - Epoch [37][800/1873] lr: 1.723e-01, eta: 21:02:10, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2648, top5_acc: 0.5243, loss_cls: 5.7374, loss: 5.7374 +2023-12-21 05:13:38,685 - pyskl - INFO - Epoch [37][900/1873] lr: 1.722e-01, eta: 21:01:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2576, top5_acc: 0.5026, loss_cls: 5.8147, loss: 5.8147 +2023-12-21 05:14:11,855 - pyskl - INFO - Epoch [37][1000/1873] lr: 1.721e-01, eta: 21:00:44, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2676, top5_acc: 0.5192, loss_cls: 5.7489, loss: 5.7489 +2023-12-21 05:14:44,782 - pyskl - INFO - Epoch [37][1100/1873] lr: 1.721e-01, eta: 21:00:00, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2636, top5_acc: 0.5157, loss_cls: 5.7700, loss: 5.7700 +2023-12-21 05:15:17,756 - pyskl - INFO - Epoch [37][1200/1873] lr: 1.720e-01, eta: 20:59:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2652, top5_acc: 0.5178, loss_cls: 5.7688, loss: 5.7688 +2023-12-21 05:15:50,870 - pyskl - INFO - Epoch [37][1300/1873] lr: 1.719e-01, eta: 20:58:33, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2678, top5_acc: 0.5220, loss_cls: 5.7584, loss: 5.7584 +2023-12-21 05:16:23,915 - pyskl - INFO - Epoch [37][1400/1873] lr: 1.718e-01, eta: 20:57:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2541, top5_acc: 0.5034, loss_cls: 5.8097, loss: 5.8097 +2023-12-21 05:16:56,967 - pyskl - INFO - Epoch [37][1500/1873] lr: 1.717e-01, eta: 20:57:07, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2590, top5_acc: 0.5123, loss_cls: 5.7817, loss: 5.7817 +2023-12-21 05:17:29,902 - pyskl - INFO - Epoch [37][1600/1873] lr: 1.717e-01, eta: 20:56:23, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2602, top5_acc: 0.5009, loss_cls: 5.8106, loss: 5.8106 +2023-12-21 05:18:02,812 - pyskl - INFO - Epoch [37][1700/1873] lr: 1.716e-01, eta: 20:55:39, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2680, top5_acc: 0.5136, loss_cls: 5.7596, loss: 5.7596 +2023-12-21 05:18:35,916 - pyskl - INFO - Epoch [37][1800/1873] lr: 1.715e-01, eta: 20:54:56, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2566, top5_acc: 0.5093, loss_cls: 5.7799, loss: 5.7799 +2023-12-21 05:19:03,436 - pyskl - INFO - Saving checkpoint at 37 epochs +2023-12-21 05:19:48,911 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 05:19:49,665 - pyskl - INFO - +top1_acc 0.1598 +top5_acc 0.3769 +2023-12-21 05:19:49,665 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 05:19:49,702 - pyskl - INFO - +mean_acc 0.1598 +2023-12-21 05:19:49,711 - pyskl - INFO - Epoch(val) [37][155] top1_acc: 0.1598, top5_acc: 0.3769, mean_class_accuracy: 0.1598 +2023-12-21 05:21:30,333 - pyskl - INFO - Epoch [38][100/1873] lr: 1.714e-01, eta: 20:55:54, time: 1.006, data_time: 0.677, memory: 8129, top1_acc: 0.2658, top5_acc: 0.5233, loss_cls: 5.7399, loss: 5.7399 +2023-12-21 05:22:03,316 - pyskl - INFO - Epoch [38][200/1873] lr: 1.713e-01, eta: 20:55:10, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2605, top5_acc: 0.5160, loss_cls: 5.7516, loss: 5.7516 +2023-12-21 05:22:36,141 - pyskl - INFO - Epoch [38][300/1873] lr: 1.712e-01, eta: 20:54:26, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2610, top5_acc: 0.5109, loss_cls: 5.7940, loss: 5.7940 +2023-12-21 05:23:08,959 - pyskl - INFO - Epoch [38][400/1873] lr: 1.711e-01, eta: 20:53:42, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2598, top5_acc: 0.5107, loss_cls: 5.7967, loss: 5.7967 +2023-12-21 05:23:41,647 - pyskl - INFO - Epoch [38][500/1873] lr: 1.711e-01, eta: 20:52:57, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2580, top5_acc: 0.5101, loss_cls: 5.7870, loss: 5.7870 +2023-12-21 05:24:14,457 - pyskl - INFO - Epoch [38][600/1873] lr: 1.710e-01, eta: 20:52:13, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2697, top5_acc: 0.5102, loss_cls: 5.7615, loss: 5.7615 +2023-12-21 05:24:47,463 - pyskl - INFO - Epoch [38][700/1873] lr: 1.709e-01, eta: 20:51:30, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2678, top5_acc: 0.5141, loss_cls: 5.7865, loss: 5.7865 +2023-12-21 05:25:20,422 - pyskl - INFO - Epoch [38][800/1873] lr: 1.708e-01, eta: 20:50:46, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2572, top5_acc: 0.5059, loss_cls: 5.7995, loss: 5.7995 +2023-12-21 05:25:53,282 - pyskl - INFO - Epoch [38][900/1873] lr: 1.707e-01, eta: 20:50:03, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2680, top5_acc: 0.5199, loss_cls: 5.7619, loss: 5.7619 +2023-12-21 05:26:26,053 - pyskl - INFO - Epoch [38][1000/1873] lr: 1.707e-01, eta: 20:49:19, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2591, top5_acc: 0.5127, loss_cls: 5.7817, loss: 5.7817 +2023-12-21 05:26:59,034 - pyskl - INFO - Epoch [38][1100/1873] lr: 1.706e-01, eta: 20:48:35, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2664, top5_acc: 0.5155, loss_cls: 5.7614, loss: 5.7614 +2023-12-21 05:27:32,025 - pyskl - INFO - Epoch [38][1200/1873] lr: 1.705e-01, eta: 20:47:52, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2519, top5_acc: 0.5083, loss_cls: 5.8009, loss: 5.8009 +2023-12-21 05:28:04,966 - pyskl - INFO - Epoch [38][1300/1873] lr: 1.704e-01, eta: 20:47:08, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2594, top5_acc: 0.5109, loss_cls: 5.7719, loss: 5.7719 +2023-12-21 05:28:37,961 - pyskl - INFO - Epoch [38][1400/1873] lr: 1.703e-01, eta: 20:46:25, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2665, top5_acc: 0.5193, loss_cls: 5.7580, loss: 5.7580 +2023-12-21 05:29:10,979 - pyskl - INFO - Epoch [38][1500/1873] lr: 1.703e-01, eta: 20:45:42, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2550, top5_acc: 0.5092, loss_cls: 5.7851, loss: 5.7851 +2023-12-21 05:29:43,789 - pyskl - INFO - Epoch [38][1600/1873] lr: 1.702e-01, eta: 20:44:58, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2596, top5_acc: 0.5140, loss_cls: 5.7832, loss: 5.7832 +2023-12-21 05:30:16,763 - pyskl - INFO - Epoch [38][1700/1873] lr: 1.701e-01, eta: 20:44:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2605, top5_acc: 0.5134, loss_cls: 5.7974, loss: 5.7974 +2023-12-21 05:30:49,855 - pyskl - INFO - Epoch [38][1800/1873] lr: 1.700e-01, eta: 20:43:32, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2574, top5_acc: 0.5077, loss_cls: 5.7950, loss: 5.7950 +2023-12-21 05:31:17,151 - pyskl - INFO - Saving checkpoint at 38 epochs +2023-12-21 05:32:07,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 05:32:08,467 - pyskl - INFO - +top1_acc 0.1778 +top5_acc 0.4084 +2023-12-21 05:32:08,467 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 05:32:08,502 - pyskl - INFO - +mean_acc 0.1777 +2023-12-21 05:32:08,515 - pyskl - INFO - Epoch(val) [38][155] top1_acc: 0.1778, top5_acc: 0.4084, mean_class_accuracy: 0.1777 +2023-12-21 05:33:48,988 - pyskl - INFO - Epoch [39][100/1873] lr: 1.699e-01, eta: 20:44:25, time: 1.005, data_time: 0.667, memory: 8129, top1_acc: 0.2674, top5_acc: 0.5195, loss_cls: 5.7564, loss: 5.7564 +2023-12-21 05:34:21,901 - pyskl - INFO - Epoch [39][200/1873] lr: 1.698e-01, eta: 20:43:42, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2692, top5_acc: 0.5195, loss_cls: 5.7525, loss: 5.7525 +2023-12-21 05:34:54,767 - pyskl - INFO - Epoch [39][300/1873] lr: 1.697e-01, eta: 20:42:58, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2698, top5_acc: 0.5138, loss_cls: 5.7607, loss: 5.7607 +2023-12-21 05:35:27,751 - pyskl - INFO - Epoch [39][400/1873] lr: 1.696e-01, eta: 20:42:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2624, top5_acc: 0.5133, loss_cls: 5.7777, loss: 5.7777 +2023-12-21 05:36:00,671 - pyskl - INFO - Epoch [39][500/1873] lr: 1.696e-01, eta: 20:41:31, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2595, top5_acc: 0.5164, loss_cls: 5.7659, loss: 5.7659 +2023-12-21 05:36:33,624 - pyskl - INFO - Epoch [39][600/1873] lr: 1.695e-01, eta: 20:40:48, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2586, top5_acc: 0.5149, loss_cls: 5.7695, loss: 5.7695 +2023-12-21 05:37:06,373 - pyskl - INFO - Epoch [39][700/1873] lr: 1.694e-01, eta: 20:40:04, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2608, top5_acc: 0.5134, loss_cls: 5.7707, loss: 5.7707 +2023-12-21 05:37:39,288 - pyskl - INFO - Epoch [39][800/1873] lr: 1.693e-01, eta: 20:39:21, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2623, top5_acc: 0.5138, loss_cls: 5.7640, loss: 5.7640 +2023-12-21 05:38:12,284 - pyskl - INFO - Epoch [39][900/1873] lr: 1.692e-01, eta: 20:38:38, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2645, top5_acc: 0.5102, loss_cls: 5.7770, loss: 5.7770 +2023-12-21 05:38:45,277 - pyskl - INFO - Epoch [39][1000/1873] lr: 1.692e-01, eta: 20:37:55, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2623, top5_acc: 0.5130, loss_cls: 5.7625, loss: 5.7625 +2023-12-21 05:39:18,321 - pyskl - INFO - Epoch [39][1100/1873] lr: 1.691e-01, eta: 20:37:12, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2652, top5_acc: 0.5176, loss_cls: 5.7599, loss: 5.7599 +2023-12-21 05:39:51,387 - pyskl - INFO - Epoch [39][1200/1873] lr: 1.690e-01, eta: 20:36:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2633, top5_acc: 0.5109, loss_cls: 5.7730, loss: 5.7730 +2023-12-21 05:40:24,416 - pyskl - INFO - Epoch [39][1300/1873] lr: 1.689e-01, eta: 20:35:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2579, top5_acc: 0.5164, loss_cls: 5.7698, loss: 5.7698 +2023-12-21 05:40:57,362 - pyskl - INFO - Epoch [39][1400/1873] lr: 1.688e-01, eta: 20:35:03, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2627, top5_acc: 0.5179, loss_cls: 5.7664, loss: 5.7664 +2023-12-21 05:41:30,344 - pyskl - INFO - Epoch [39][1500/1873] lr: 1.688e-01, eta: 20:34:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2629, top5_acc: 0.5139, loss_cls: 5.7667, loss: 5.7667 +2023-12-21 05:42:03,358 - pyskl - INFO - Epoch [39][1600/1873] lr: 1.687e-01, eta: 20:33:37, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2723, top5_acc: 0.5231, loss_cls: 5.7460, loss: 5.7460 +2023-12-21 05:42:36,253 - pyskl - INFO - Epoch [39][1700/1873] lr: 1.686e-01, eta: 20:32:54, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2595, top5_acc: 0.5104, loss_cls: 5.7979, loss: 5.7979 +2023-12-21 05:43:09,393 - pyskl - INFO - Epoch [39][1800/1873] lr: 1.685e-01, eta: 20:32:12, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2683, top5_acc: 0.5146, loss_cls: 5.7538, loss: 5.7538 +2023-12-21 05:43:36,439 - pyskl - INFO - Saving checkpoint at 39 epochs +2023-12-21 05:44:27,679 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 05:44:28,391 - pyskl - INFO - +top1_acc 0.2018 +top5_acc 0.4362 +2023-12-21 05:44:28,391 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 05:44:28,422 - pyskl - INFO - +mean_acc 0.2015 +2023-12-21 05:44:28,428 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_25.pth was removed +2023-12-21 05:44:28,596 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_39.pth. +2023-12-21 05:44:28,597 - pyskl - INFO - Best top1_acc is 0.2018 at 39 epoch. +2023-12-21 05:44:28,605 - pyskl - INFO - Epoch(val) [39][155] top1_acc: 0.2018, top5_acc: 0.4362, mean_class_accuracy: 0.2015 +2023-12-21 05:46:11,556 - pyskl - INFO - Epoch [40][100/1873] lr: 1.684e-01, eta: 20:33:08, time: 1.029, data_time: 0.678, memory: 8129, top1_acc: 0.2736, top5_acc: 0.5233, loss_cls: 5.7213, loss: 5.7213 +2023-12-21 05:46:44,729 - pyskl - INFO - Epoch [40][200/1873] lr: 1.683e-01, eta: 20:32:25, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2713, top5_acc: 0.5177, loss_cls: 5.7495, loss: 5.7495 +2023-12-21 05:47:17,905 - pyskl - INFO - Epoch [40][300/1873] lr: 1.682e-01, eta: 20:31:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2750, top5_acc: 0.5262, loss_cls: 5.7130, loss: 5.7130 +2023-12-21 05:47:50,966 - pyskl - INFO - Epoch [40][400/1873] lr: 1.681e-01, eta: 20:31:00, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2681, top5_acc: 0.5193, loss_cls: 5.7464, loss: 5.7464 +2023-12-21 05:48:23,998 - pyskl - INFO - Epoch [40][500/1873] lr: 1.680e-01, eta: 20:30:17, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2598, top5_acc: 0.5160, loss_cls: 5.7697, loss: 5.7697 +2023-12-21 05:48:57,179 - pyskl - INFO - Epoch [40][600/1873] lr: 1.680e-01, eta: 20:29:35, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2637, top5_acc: 0.5188, loss_cls: 5.7638, loss: 5.7638 +2023-12-21 05:49:30,432 - pyskl - INFO - Epoch [40][700/1873] lr: 1.679e-01, eta: 20:28:53, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2616, top5_acc: 0.5148, loss_cls: 5.7488, loss: 5.7488 +2023-12-21 05:50:03,479 - pyskl - INFO - Epoch [40][800/1873] lr: 1.678e-01, eta: 20:28:10, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2630, top5_acc: 0.5124, loss_cls: 5.7684, loss: 5.7684 +2023-12-21 05:50:36,514 - pyskl - INFO - Epoch [40][900/1873] lr: 1.677e-01, eta: 20:27:27, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2698, top5_acc: 0.5213, loss_cls: 5.7489, loss: 5.7489 +2023-12-21 05:51:09,785 - pyskl - INFO - Epoch [40][1000/1873] lr: 1.676e-01, eta: 20:26:45, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2683, top5_acc: 0.5173, loss_cls: 5.7424, loss: 5.7424 +2023-12-21 05:51:42,810 - pyskl - INFO - Epoch [40][1100/1873] lr: 1.676e-01, eta: 20:26:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2595, top5_acc: 0.5113, loss_cls: 5.7626, loss: 5.7626 +2023-12-21 05:52:15,759 - pyskl - INFO - Epoch [40][1200/1873] lr: 1.675e-01, eta: 20:25:20, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2646, top5_acc: 0.5159, loss_cls: 5.7706, loss: 5.7706 +2023-12-21 05:52:48,806 - pyskl - INFO - Epoch [40][1300/1873] lr: 1.674e-01, eta: 20:24:37, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2630, top5_acc: 0.5099, loss_cls: 5.7906, loss: 5.7906 +2023-12-21 05:53:21,751 - pyskl - INFO - Epoch [40][1400/1873] lr: 1.673e-01, eta: 20:23:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2680, top5_acc: 0.5177, loss_cls: 5.7569, loss: 5.7569 +2023-12-21 05:53:54,644 - pyskl - INFO - Epoch [40][1500/1873] lr: 1.672e-01, eta: 20:23:11, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2639, top5_acc: 0.5155, loss_cls: 5.7673, loss: 5.7673 +2023-12-21 05:54:27,664 - pyskl - INFO - Epoch [40][1600/1873] lr: 1.671e-01, eta: 20:22:29, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2602, top5_acc: 0.5117, loss_cls: 5.7853, loss: 5.7853 +2023-12-21 05:55:00,561 - pyskl - INFO - Epoch [40][1700/1873] lr: 1.671e-01, eta: 20:21:46, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2684, top5_acc: 0.5159, loss_cls: 5.7441, loss: 5.7441 +2023-12-21 05:55:33,701 - pyskl - INFO - Epoch [40][1800/1873] lr: 1.670e-01, eta: 20:21:04, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2664, top5_acc: 0.5131, loss_cls: 5.7910, loss: 5.7910 +2023-12-21 05:56:00,450 - pyskl - INFO - Saving checkpoint at 40 epochs +2023-12-21 05:56:49,534 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 05:56:50,537 - pyskl - INFO - +top1_acc 0.2094 +top5_acc 0.4419 +2023-12-21 05:56:50,537 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 05:56:50,582 - pyskl - INFO - +mean_acc 0.2093 +2023-12-21 05:56:50,589 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_39.pth was removed +2023-12-21 05:56:50,827 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. +2023-12-21 05:56:50,828 - pyskl - INFO - Best top1_acc is 0.2094 at 40 epoch. +2023-12-21 05:56:50,839 - pyskl - INFO - Epoch(val) [40][155] top1_acc: 0.2094, top5_acc: 0.4419, mean_class_accuracy: 0.2093 +2023-12-21 05:58:37,673 - pyskl - INFO - Epoch [41][100/1873] lr: 1.668e-01, eta: 20:22:07, time: 1.068, data_time: 0.738, memory: 8129, top1_acc: 0.2728, top5_acc: 0.5284, loss_cls: 5.7091, loss: 5.7091 +2023-12-21 05:59:10,597 - pyskl - INFO - Epoch [41][200/1873] lr: 1.667e-01, eta: 20:21:24, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2662, top5_acc: 0.5172, loss_cls: 5.7514, loss: 5.7514 +2023-12-21 05:59:43,498 - pyskl - INFO - Epoch [41][300/1873] lr: 1.667e-01, eta: 20:20:41, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2659, top5_acc: 0.5146, loss_cls: 5.7644, loss: 5.7644 +2023-12-21 06:00:16,538 - pyskl - INFO - Epoch [41][400/1873] lr: 1.666e-01, eta: 20:19:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2651, top5_acc: 0.5235, loss_cls: 5.7528, loss: 5.7528 +2023-12-21 06:00:49,670 - pyskl - INFO - Epoch [41][500/1873] lr: 1.665e-01, eta: 20:19:16, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2645, top5_acc: 0.5152, loss_cls: 5.7627, loss: 5.7627 +2023-12-21 06:01:22,860 - pyskl - INFO - Epoch [41][600/1873] lr: 1.664e-01, eta: 20:18:34, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2631, top5_acc: 0.5166, loss_cls: 5.7625, loss: 5.7625 +2023-12-21 06:01:55,804 - pyskl - INFO - Epoch [41][700/1873] lr: 1.663e-01, eta: 20:17:51, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2689, top5_acc: 0.5187, loss_cls: 5.7274, loss: 5.7274 +2023-12-21 06:02:28,775 - pyskl - INFO - Epoch [41][800/1873] lr: 1.662e-01, eta: 20:17:08, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2665, top5_acc: 0.5153, loss_cls: 5.7522, loss: 5.7522 +2023-12-21 06:03:01,861 - pyskl - INFO - Epoch [41][900/1873] lr: 1.662e-01, eta: 20:16:26, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2637, top5_acc: 0.5168, loss_cls: 5.7560, loss: 5.7560 +2023-12-21 06:03:34,929 - pyskl - INFO - Epoch [41][1000/1873] lr: 1.661e-01, eta: 20:15:43, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2662, top5_acc: 0.5165, loss_cls: 5.7584, loss: 5.7584 +2023-12-21 06:04:08,178 - pyskl - INFO - Epoch [41][1100/1873] lr: 1.660e-01, eta: 20:15:02, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2641, top5_acc: 0.5116, loss_cls: 5.7733, loss: 5.7733 +2023-12-21 06:04:41,179 - pyskl - INFO - Epoch [41][1200/1873] lr: 1.659e-01, eta: 20:14:19, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2634, top5_acc: 0.5125, loss_cls: 5.7693, loss: 5.7693 +2023-12-21 06:05:14,319 - pyskl - INFO - Epoch [41][1300/1873] lr: 1.658e-01, eta: 20:13:37, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2713, top5_acc: 0.5156, loss_cls: 5.7498, loss: 5.7498 +2023-12-21 06:05:47,400 - pyskl - INFO - Epoch [41][1400/1873] lr: 1.657e-01, eta: 20:12:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2677, top5_acc: 0.5148, loss_cls: 5.7539, loss: 5.7539 +2023-12-21 06:06:20,577 - pyskl - INFO - Epoch [41][1500/1873] lr: 1.657e-01, eta: 20:12:13, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2679, top5_acc: 0.5248, loss_cls: 5.7382, loss: 5.7382 +2023-12-21 06:06:53,457 - pyskl - INFO - Epoch [41][1600/1873] lr: 1.656e-01, eta: 20:11:30, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2677, top5_acc: 0.5191, loss_cls: 5.7355, loss: 5.7355 +2023-12-21 06:07:26,446 - pyskl - INFO - Epoch [41][1700/1873] lr: 1.655e-01, eta: 20:10:48, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2709, top5_acc: 0.5182, loss_cls: 5.7487, loss: 5.7487 +2023-12-21 06:07:59,511 - pyskl - INFO - Epoch [41][1800/1873] lr: 1.654e-01, eta: 20:10:06, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2666, top5_acc: 0.5194, loss_cls: 5.7469, loss: 5.7469 +2023-12-21 06:08:26,586 - pyskl - INFO - Saving checkpoint at 41 epochs +2023-12-21 06:09:15,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 06:09:16,656 - pyskl - INFO - +top1_acc 0.2043 +top5_acc 0.4304 +2023-12-21 06:09:16,656 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 06:09:16,694 - pyskl - INFO - +mean_acc 0.2040 +2023-12-21 06:09:16,703 - pyskl - INFO - Epoch(val) [41][155] top1_acc: 0.2043, top5_acc: 0.4304, mean_class_accuracy: 0.2040 +2023-12-21 06:11:00,462 - pyskl - INFO - Epoch [42][100/1873] lr: 1.653e-01, eta: 20:10:56, time: 1.037, data_time: 0.682, memory: 8129, top1_acc: 0.2699, top5_acc: 0.5206, loss_cls: 5.7250, loss: 5.7250 +2023-12-21 06:11:33,416 - pyskl - INFO - Epoch [42][200/1873] lr: 1.652e-01, eta: 20:10:13, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2654, top5_acc: 0.5249, loss_cls: 5.7338, loss: 5.7338 +2023-12-21 06:12:06,340 - pyskl - INFO - Epoch [42][300/1873] lr: 1.651e-01, eta: 20:09:31, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2623, top5_acc: 0.5195, loss_cls: 5.7478, loss: 5.7478 +2023-12-21 06:12:39,217 - pyskl - INFO - Epoch [42][400/1873] lr: 1.650e-01, eta: 20:08:48, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2644, top5_acc: 0.5213, loss_cls: 5.7296, loss: 5.7296 +2023-12-21 06:13:12,128 - pyskl - INFO - Epoch [42][500/1873] lr: 1.649e-01, eta: 20:08:05, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2635, top5_acc: 0.5158, loss_cls: 5.7547, loss: 5.7547 +2023-12-21 06:13:45,110 - pyskl - INFO - Epoch [42][600/1873] lr: 1.648e-01, eta: 20:07:23, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2695, top5_acc: 0.5189, loss_cls: 5.7299, loss: 5.7299 +2023-12-21 06:14:18,115 - pyskl - INFO - Epoch [42][700/1873] lr: 1.647e-01, eta: 20:06:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2667, top5_acc: 0.5148, loss_cls: 5.7423, loss: 5.7423 +2023-12-21 06:14:51,160 - pyskl - INFO - Epoch [42][800/1873] lr: 1.647e-01, eta: 20:05:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2706, top5_acc: 0.5191, loss_cls: 5.7519, loss: 5.7519 +2023-12-21 06:15:24,053 - pyskl - INFO - Epoch [42][900/1873] lr: 1.646e-01, eta: 20:05:16, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2624, top5_acc: 0.5188, loss_cls: 5.7796, loss: 5.7796 +2023-12-21 06:15:57,113 - pyskl - INFO - Epoch [42][1000/1873] lr: 1.645e-01, eta: 20:04:33, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2671, top5_acc: 0.5138, loss_cls: 5.7561, loss: 5.7561 +2023-12-21 06:16:29,988 - pyskl - INFO - Epoch [42][1100/1873] lr: 1.644e-01, eta: 20:03:51, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2679, top5_acc: 0.5223, loss_cls: 5.7402, loss: 5.7402 +2023-12-21 06:17:02,859 - pyskl - INFO - Epoch [42][1200/1873] lr: 1.643e-01, eta: 20:03:08, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2649, top5_acc: 0.5213, loss_cls: 5.7635, loss: 5.7635 +2023-12-21 06:17:35,838 - pyskl - INFO - Epoch [42][1300/1873] lr: 1.642e-01, eta: 20:02:26, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2665, top5_acc: 0.5212, loss_cls: 5.7513, loss: 5.7513 +2023-12-21 06:18:08,717 - pyskl - INFO - Epoch [42][1400/1873] lr: 1.641e-01, eta: 20:01:43, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2632, top5_acc: 0.5182, loss_cls: 5.7629, loss: 5.7629 +2023-12-21 06:18:41,606 - pyskl - INFO - Epoch [42][1500/1873] lr: 1.641e-01, eta: 20:01:01, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2694, top5_acc: 0.5248, loss_cls: 5.6993, loss: 5.6993 +2023-12-21 06:19:14,532 - pyskl - INFO - Epoch [42][1600/1873] lr: 1.640e-01, eta: 20:00:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2649, top5_acc: 0.5205, loss_cls: 5.7755, loss: 5.7755 +2023-12-21 06:19:47,396 - pyskl - INFO - Epoch [42][1700/1873] lr: 1.639e-01, eta: 19:59:36, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2663, top5_acc: 0.5203, loss_cls: 5.7460, loss: 5.7460 +2023-12-21 06:20:20,470 - pyskl - INFO - Epoch [42][1800/1873] lr: 1.638e-01, eta: 19:58:54, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2690, top5_acc: 0.5238, loss_cls: 5.7212, loss: 5.7212 +2023-12-21 06:20:47,300 - pyskl - INFO - Saving checkpoint at 42 epochs +2023-12-21 06:21:35,832 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 06:21:36,582 - pyskl - INFO - +top1_acc 0.1965 +top5_acc 0.4204 +2023-12-21 06:21:36,583 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 06:21:36,617 - pyskl - INFO - +mean_acc 0.1964 +2023-12-21 06:21:36,626 - pyskl - INFO - Epoch(val) [42][155] top1_acc: 0.1965, top5_acc: 0.4204, mean_class_accuracy: 0.1964 +2023-12-21 06:23:20,355 - pyskl - INFO - Epoch [43][100/1873] lr: 1.637e-01, eta: 19:59:41, time: 1.037, data_time: 0.681, memory: 8129, top1_acc: 0.2732, top5_acc: 0.5209, loss_cls: 5.7275, loss: 5.7275 +2023-12-21 06:23:53,187 - pyskl - INFO - Epoch [43][200/1873] lr: 1.636e-01, eta: 19:58:58, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2640, top5_acc: 0.5189, loss_cls: 5.7503, loss: 5.7503 +2023-12-21 06:24:26,437 - pyskl - INFO - Epoch [43][300/1873] lr: 1.635e-01, eta: 19:58:17, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2669, top5_acc: 0.5252, loss_cls: 5.7256, loss: 5.7256 +2023-12-21 06:24:59,440 - pyskl - INFO - Epoch [43][400/1873] lr: 1.634e-01, eta: 19:57:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2752, top5_acc: 0.5253, loss_cls: 5.7132, loss: 5.7132 +2023-12-21 06:25:32,573 - pyskl - INFO - Epoch [43][500/1873] lr: 1.633e-01, eta: 19:56:53, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2695, top5_acc: 0.5157, loss_cls: 5.7575, loss: 5.7575 +2023-12-21 06:26:05,703 - pyskl - INFO - Epoch [43][600/1873] lr: 1.632e-01, eta: 19:56:11, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2653, top5_acc: 0.5213, loss_cls: 5.7399, loss: 5.7399 +2023-12-21 06:26:38,638 - pyskl - INFO - Epoch [43][700/1873] lr: 1.631e-01, eta: 19:55:28, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2755, top5_acc: 0.5230, loss_cls: 5.7270, loss: 5.7270 +2023-12-21 06:27:11,712 - pyskl - INFO - Epoch [43][800/1873] lr: 1.631e-01, eta: 19:54:47, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2686, top5_acc: 0.5220, loss_cls: 5.7435, loss: 5.7435 +2023-12-21 06:27:44,845 - pyskl - INFO - Epoch [43][900/1873] lr: 1.630e-01, eta: 19:54:05, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2689, top5_acc: 0.5162, loss_cls: 5.7508, loss: 5.7508 +2023-12-21 06:28:17,920 - pyskl - INFO - Epoch [43][1000/1873] lr: 1.629e-01, eta: 19:53:23, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2773, top5_acc: 0.5297, loss_cls: 5.7018, loss: 5.7018 +2023-12-21 06:28:51,070 - pyskl - INFO - Epoch [43][1100/1873] lr: 1.628e-01, eta: 19:52:41, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2668, top5_acc: 0.5199, loss_cls: 5.7349, loss: 5.7349 +2023-12-21 06:29:24,182 - pyskl - INFO - Epoch [43][1200/1873] lr: 1.627e-01, eta: 19:51:59, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2703, top5_acc: 0.5243, loss_cls: 5.7186, loss: 5.7186 +2023-12-21 06:29:57,257 - pyskl - INFO - Epoch [43][1300/1873] lr: 1.626e-01, eta: 19:51:18, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2655, top5_acc: 0.5209, loss_cls: 5.7446, loss: 5.7446 +2023-12-21 06:30:30,304 - pyskl - INFO - Epoch [43][1400/1873] lr: 1.625e-01, eta: 19:50:36, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2689, top5_acc: 0.5136, loss_cls: 5.7613, loss: 5.7613 +2023-12-21 06:31:03,485 - pyskl - INFO - Epoch [43][1500/1873] lr: 1.624e-01, eta: 19:49:54, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2689, top5_acc: 0.5189, loss_cls: 5.7420, loss: 5.7420 +2023-12-21 06:31:36,485 - pyskl - INFO - Epoch [43][1600/1873] lr: 1.624e-01, eta: 19:49:12, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2731, top5_acc: 0.5212, loss_cls: 5.7181, loss: 5.7181 +2023-12-21 06:32:09,568 - pyskl - INFO - Epoch [43][1700/1873] lr: 1.623e-01, eta: 19:48:30, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2669, top5_acc: 0.5262, loss_cls: 5.7329, loss: 5.7329 +2023-12-21 06:32:42,721 - pyskl - INFO - Epoch [43][1800/1873] lr: 1.622e-01, eta: 19:47:49, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2743, top5_acc: 0.5237, loss_cls: 5.7154, loss: 5.7154 +2023-12-21 06:33:09,671 - pyskl - INFO - Saving checkpoint at 43 epochs +2023-12-21 06:33:59,698 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 06:34:00,731 - pyskl - INFO - +top1_acc 0.1788 +top5_acc 0.3902 +2023-12-21 06:34:00,731 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 06:34:00,769 - pyskl - INFO - +mean_acc 0.1787 +2023-12-21 06:34:00,779 - pyskl - INFO - Epoch(val) [43][155] top1_acc: 0.1788, top5_acc: 0.3902, mean_class_accuracy: 0.1787 +2023-12-21 06:35:43,130 - pyskl - INFO - Epoch [44][100/1873] lr: 1.620e-01, eta: 19:48:29, time: 1.023, data_time: 0.694, memory: 8129, top1_acc: 0.2716, top5_acc: 0.5227, loss_cls: 5.7305, loss: 5.7305 +2023-12-21 06:36:16,201 - pyskl - INFO - Epoch [44][200/1873] lr: 1.619e-01, eta: 19:47:47, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2720, top5_acc: 0.5292, loss_cls: 5.7046, loss: 5.7046 +2023-12-21 06:36:49,190 - pyskl - INFO - Epoch [44][300/1873] lr: 1.619e-01, eta: 19:47:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2701, top5_acc: 0.5252, loss_cls: 5.7152, loss: 5.7152 +2023-12-21 06:37:22,285 - pyskl - INFO - Epoch [44][400/1873] lr: 1.618e-01, eta: 19:46:23, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2642, top5_acc: 0.5176, loss_cls: 5.7381, loss: 5.7381 +2023-12-21 06:37:55,548 - pyskl - INFO - Epoch [44][500/1873] lr: 1.617e-01, eta: 19:45:42, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2702, top5_acc: 0.5207, loss_cls: 5.7420, loss: 5.7420 +2023-12-21 06:38:28,570 - pyskl - INFO - Epoch [44][600/1873] lr: 1.616e-01, eta: 19:45:00, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2777, top5_acc: 0.5296, loss_cls: 5.7054, loss: 5.7054 +2023-12-21 06:39:01,500 - pyskl - INFO - Epoch [44][700/1873] lr: 1.615e-01, eta: 19:44:18, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2684, top5_acc: 0.5145, loss_cls: 5.7423, loss: 5.7423 +2023-12-21 06:39:34,553 - pyskl - INFO - Epoch [44][800/1873] lr: 1.614e-01, eta: 19:43:36, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2662, top5_acc: 0.5199, loss_cls: 5.7468, loss: 5.7468 +2023-12-21 06:40:07,838 - pyskl - INFO - Epoch [44][900/1873] lr: 1.613e-01, eta: 19:42:55, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2773, top5_acc: 0.5259, loss_cls: 5.7060, loss: 5.7060 +2023-12-21 06:40:41,183 - pyskl - INFO - Epoch [44][1000/1873] lr: 1.612e-01, eta: 19:42:14, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2638, top5_acc: 0.5123, loss_cls: 5.7581, loss: 5.7581 +2023-12-21 06:41:14,535 - pyskl - INFO - Epoch [44][1100/1873] lr: 1.611e-01, eta: 19:41:33, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2761, top5_acc: 0.5255, loss_cls: 5.7065, loss: 5.7065 +2023-12-21 06:41:47,870 - pyskl - INFO - Epoch [44][1200/1873] lr: 1.611e-01, eta: 19:40:52, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2710, top5_acc: 0.5256, loss_cls: 5.7252, loss: 5.7252 +2023-12-21 06:42:21,166 - pyskl - INFO - Epoch [44][1300/1873] lr: 1.610e-01, eta: 19:40:11, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2630, top5_acc: 0.5180, loss_cls: 5.7660, loss: 5.7660 +2023-12-21 06:42:54,331 - pyskl - INFO - Epoch [44][1400/1873] lr: 1.609e-01, eta: 19:39:29, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2654, top5_acc: 0.5199, loss_cls: 5.7423, loss: 5.7423 +2023-12-21 06:43:27,454 - pyskl - INFO - Epoch [44][1500/1873] lr: 1.608e-01, eta: 19:38:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2631, top5_acc: 0.5202, loss_cls: 5.7429, loss: 5.7429 +2023-12-21 06:44:00,720 - pyskl - INFO - Epoch [44][1600/1873] lr: 1.607e-01, eta: 19:38:07, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2749, top5_acc: 0.5279, loss_cls: 5.7079, loss: 5.7079 +2023-12-21 06:44:33,828 - pyskl - INFO - Epoch [44][1700/1873] lr: 1.606e-01, eta: 19:37:25, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2690, top5_acc: 0.5145, loss_cls: 5.7490, loss: 5.7490 +2023-12-21 06:45:07,139 - pyskl - INFO - Epoch [44][1800/1873] lr: 1.605e-01, eta: 19:36:44, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2713, top5_acc: 0.5215, loss_cls: 5.7317, loss: 5.7317 +2023-12-21 06:45:34,229 - pyskl - INFO - Saving checkpoint at 44 epochs +2023-12-21 06:46:22,730 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 06:46:23,781 - pyskl - INFO - +top1_acc 0.1989 +top5_acc 0.4379 +2023-12-21 06:46:23,781 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 06:46:23,833 - pyskl - INFO - +mean_acc 0.1988 +2023-12-21 06:46:23,849 - pyskl - INFO - Epoch(val) [44][155] top1_acc: 0.1989, top5_acc: 0.4379, mean_class_accuracy: 0.1988 +2023-12-21 06:48:08,141 - pyskl - INFO - Epoch [45][100/1873] lr: 1.604e-01, eta: 19:37:26, time: 1.043, data_time: 0.684, memory: 8129, top1_acc: 0.2690, top5_acc: 0.5216, loss_cls: 5.7064, loss: 5.7064 +2023-12-21 06:48:40,978 - pyskl - INFO - Epoch [45][200/1873] lr: 1.603e-01, eta: 19:36:43, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2763, top5_acc: 0.5343, loss_cls: 5.6718, loss: 5.6718 +2023-12-21 06:49:13,974 - pyskl - INFO - Epoch [45][300/1873] lr: 1.602e-01, eta: 19:36:02, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2770, top5_acc: 0.5310, loss_cls: 5.7072, loss: 5.7072 +2023-12-21 06:49:46,889 - pyskl - INFO - Epoch [45][400/1873] lr: 1.601e-01, eta: 19:35:20, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2773, top5_acc: 0.5337, loss_cls: 5.6824, loss: 5.6824 +2023-12-21 06:50:19,950 - pyskl - INFO - Epoch [45][500/1873] lr: 1.600e-01, eta: 19:34:38, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2714, top5_acc: 0.5206, loss_cls: 5.7397, loss: 5.7397 +2023-12-21 06:50:53,193 - pyskl - INFO - Epoch [45][600/1873] lr: 1.599e-01, eta: 19:33:57, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2690, top5_acc: 0.5208, loss_cls: 5.7320, loss: 5.7320 +2023-12-21 06:51:26,349 - pyskl - INFO - Epoch [45][700/1873] lr: 1.598e-01, eta: 19:33:15, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2732, top5_acc: 0.5299, loss_cls: 5.7159, loss: 5.7159 +2023-12-21 06:51:59,395 - pyskl - INFO - Epoch [45][800/1873] lr: 1.597e-01, eta: 19:32:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2653, top5_acc: 0.5188, loss_cls: 5.7367, loss: 5.7367 +2023-12-21 06:52:32,459 - pyskl - INFO - Epoch [45][900/1873] lr: 1.597e-01, eta: 19:31:52, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2725, top5_acc: 0.5278, loss_cls: 5.6964, loss: 5.6964 +2023-12-21 06:53:05,683 - pyskl - INFO - Epoch [45][1000/1873] lr: 1.596e-01, eta: 19:31:11, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2709, top5_acc: 0.5253, loss_cls: 5.7217, loss: 5.7217 +2023-12-21 06:53:38,897 - pyskl - INFO - Epoch [45][1100/1873] lr: 1.595e-01, eta: 19:30:30, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2718, top5_acc: 0.5256, loss_cls: 5.7239, loss: 5.7239 +2023-12-21 06:54:11,958 - pyskl - INFO - Epoch [45][1200/1873] lr: 1.594e-01, eta: 19:29:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2734, top5_acc: 0.5246, loss_cls: 5.7164, loss: 5.7164 +2023-12-21 06:54:44,950 - pyskl - INFO - Epoch [45][1300/1873] lr: 1.593e-01, eta: 19:29:07, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2662, top5_acc: 0.5227, loss_cls: 5.7309, loss: 5.7309 +2023-12-21 06:55:18,162 - pyskl - INFO - Epoch [45][1400/1873] lr: 1.592e-01, eta: 19:28:26, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2699, top5_acc: 0.5217, loss_cls: 5.7264, loss: 5.7264 +2023-12-21 06:55:51,258 - pyskl - INFO - Epoch [45][1500/1873] lr: 1.591e-01, eta: 19:27:44, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2631, top5_acc: 0.5146, loss_cls: 5.7635, loss: 5.7635 +2023-12-21 06:56:24,309 - pyskl - INFO - Epoch [45][1600/1873] lr: 1.590e-01, eta: 19:27:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2573, top5_acc: 0.5197, loss_cls: 5.7715, loss: 5.7715 +2023-12-21 06:56:57,514 - pyskl - INFO - Epoch [45][1700/1873] lr: 1.589e-01, eta: 19:26:22, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2683, top5_acc: 0.5177, loss_cls: 5.7460, loss: 5.7460 +2023-12-21 06:57:30,468 - pyskl - INFO - Epoch [45][1800/1873] lr: 1.588e-01, eta: 19:25:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2788, top5_acc: 0.5195, loss_cls: 5.7253, loss: 5.7253 +2023-12-21 06:57:58,616 - pyskl - INFO - Saving checkpoint at 45 epochs +2023-12-21 06:58:44,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 06:58:45,598 - pyskl - INFO - +top1_acc 0.1937 +top5_acc 0.4200 +2023-12-21 06:58:45,598 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 06:58:45,637 - pyskl - INFO - +mean_acc 0.1938 +2023-12-21 06:58:45,646 - pyskl - INFO - Epoch(val) [45][155] top1_acc: 0.1937, top5_acc: 0.4200, mean_class_accuracy: 0.1938 +2023-12-21 07:00:30,069 - pyskl - INFO - Epoch [46][100/1873] lr: 1.587e-01, eta: 19:26:19, time: 1.044, data_time: 0.688, memory: 8129, top1_acc: 0.2712, top5_acc: 0.5297, loss_cls: 5.6963, loss: 5.6963 +2023-12-21 07:01:03,093 - pyskl - INFO - Epoch [46][200/1873] lr: 1.586e-01, eta: 19:25:37, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2798, top5_acc: 0.5365, loss_cls: 5.6715, loss: 5.6715 +2023-12-21 07:01:36,110 - pyskl - INFO - Epoch [46][300/1873] lr: 1.585e-01, eta: 19:24:56, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2718, top5_acc: 0.5232, loss_cls: 5.7223, loss: 5.7223 +2023-12-21 07:02:09,003 - pyskl - INFO - Epoch [46][400/1873] lr: 1.584e-01, eta: 19:24:14, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2744, top5_acc: 0.5269, loss_cls: 5.7242, loss: 5.7242 +2023-12-21 07:02:41,989 - pyskl - INFO - Epoch [46][500/1873] lr: 1.583e-01, eta: 19:23:32, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2734, top5_acc: 0.5252, loss_cls: 5.7174, loss: 5.7174 +2023-12-21 07:03:15,205 - pyskl - INFO - Epoch [46][600/1873] lr: 1.582e-01, eta: 19:22:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2664, top5_acc: 0.5226, loss_cls: 5.7236, loss: 5.7236 +2023-12-21 07:03:48,255 - pyskl - INFO - Epoch [46][700/1873] lr: 1.581e-01, eta: 19:22:10, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2767, top5_acc: 0.5275, loss_cls: 5.6883, loss: 5.6883 +2023-12-21 07:04:21,381 - pyskl - INFO - Epoch [46][800/1873] lr: 1.581e-01, eta: 19:21:28, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2803, top5_acc: 0.5299, loss_cls: 5.6856, loss: 5.6856 +2023-12-21 07:04:54,533 - pyskl - INFO - Epoch [46][900/1873] lr: 1.580e-01, eta: 19:20:47, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2756, top5_acc: 0.5240, loss_cls: 5.7096, loss: 5.7096 +2023-12-21 07:05:27,614 - pyskl - INFO - Epoch [46][1000/1873] lr: 1.579e-01, eta: 19:20:06, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2702, top5_acc: 0.5270, loss_cls: 5.7037, loss: 5.7037 +2023-12-21 07:06:00,530 - pyskl - INFO - Epoch [46][1100/1873] lr: 1.578e-01, eta: 19:19:24, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2712, top5_acc: 0.5233, loss_cls: 5.7333, loss: 5.7333 +2023-12-21 07:06:33,558 - pyskl - INFO - Epoch [46][1200/1873] lr: 1.577e-01, eta: 19:18:43, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2741, top5_acc: 0.5277, loss_cls: 5.7090, loss: 5.7090 +2023-12-21 07:07:06,692 - pyskl - INFO - Epoch [46][1300/1873] lr: 1.576e-01, eta: 19:18:02, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2776, top5_acc: 0.5287, loss_cls: 5.7141, loss: 5.7141 +2023-12-21 07:07:39,690 - pyskl - INFO - Epoch [46][1400/1873] lr: 1.575e-01, eta: 19:17:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2709, top5_acc: 0.5241, loss_cls: 5.6976, loss: 5.6976 +2023-12-21 07:08:12,867 - pyskl - INFO - Epoch [46][1500/1873] lr: 1.574e-01, eta: 19:16:39, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2726, top5_acc: 0.5230, loss_cls: 5.7125, loss: 5.7125 +2023-12-21 07:08:45,773 - pyskl - INFO - Epoch [46][1600/1873] lr: 1.573e-01, eta: 19:15:58, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2768, top5_acc: 0.5219, loss_cls: 5.7423, loss: 5.7423 +2023-12-21 07:09:18,917 - pyskl - INFO - Epoch [46][1700/1873] lr: 1.572e-01, eta: 19:15:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2618, top5_acc: 0.5213, loss_cls: 5.7199, loss: 5.7199 +2023-12-21 07:09:51,797 - pyskl - INFO - Epoch [46][1800/1873] lr: 1.571e-01, eta: 19:14:35, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2734, top5_acc: 0.5248, loss_cls: 5.7097, loss: 5.7097 +2023-12-21 07:10:19,827 - pyskl - INFO - Saving checkpoint at 46 epochs +2023-12-21 07:11:05,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 07:11:06,948 - pyskl - INFO - +top1_acc 0.1766 +top5_acc 0.3938 +2023-12-21 07:11:06,949 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 07:11:07,007 - pyskl - INFO - +mean_acc 0.1765 +2023-12-21 07:11:07,018 - pyskl - INFO - Epoch(val) [46][155] top1_acc: 0.1766, top5_acc: 0.3938, mean_class_accuracy: 0.1765 +2023-12-21 07:12:47,441 - pyskl - INFO - Epoch [47][100/1873] lr: 1.570e-01, eta: 19:15:01, time: 1.004, data_time: 0.673, memory: 8129, top1_acc: 0.2754, top5_acc: 0.5355, loss_cls: 5.6748, loss: 5.6748 +2023-12-21 07:13:20,532 - pyskl - INFO - Epoch [47][200/1873] lr: 1.569e-01, eta: 19:14:20, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2739, top5_acc: 0.5185, loss_cls: 5.7279, loss: 5.7279 +2023-12-21 07:13:53,576 - pyskl - INFO - Epoch [47][300/1873] lr: 1.568e-01, eta: 19:13:39, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2642, top5_acc: 0.5187, loss_cls: 5.7383, loss: 5.7383 +2023-12-21 07:14:26,781 - pyskl - INFO - Epoch [47][400/1873] lr: 1.567e-01, eta: 19:12:58, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2777, top5_acc: 0.5330, loss_cls: 5.6931, loss: 5.6931 +2023-12-21 07:14:59,707 - pyskl - INFO - Epoch [47][500/1873] lr: 1.566e-01, eta: 19:12:16, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2645, top5_acc: 0.5202, loss_cls: 5.7262, loss: 5.7262 +2023-12-21 07:15:32,818 - pyskl - INFO - Epoch [47][600/1873] lr: 1.565e-01, eta: 19:11:35, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2763, top5_acc: 0.5284, loss_cls: 5.7063, loss: 5.7063 +2023-12-21 07:16:05,797 - pyskl - INFO - Epoch [47][700/1873] lr: 1.564e-01, eta: 19:10:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2742, top5_acc: 0.5203, loss_cls: 5.7242, loss: 5.7242 +2023-12-21 07:16:38,895 - pyskl - INFO - Epoch [47][800/1873] lr: 1.563e-01, eta: 19:10:13, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2730, top5_acc: 0.5247, loss_cls: 5.7078, loss: 5.7078 +2023-12-21 07:17:11,904 - pyskl - INFO - Epoch [47][900/1873] lr: 1.562e-01, eta: 19:09:31, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2746, top5_acc: 0.5239, loss_cls: 5.6952, loss: 5.6952 +2023-12-21 07:17:45,138 - pyskl - INFO - Epoch [47][1000/1873] lr: 1.562e-01, eta: 19:08:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2698, top5_acc: 0.5285, loss_cls: 5.6953, loss: 5.6953 +2023-12-21 07:18:18,184 - pyskl - INFO - Epoch [47][1100/1873] lr: 1.561e-01, eta: 19:08:09, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2749, top5_acc: 0.5204, loss_cls: 5.7159, loss: 5.7159 +2023-12-21 07:18:51,039 - pyskl - INFO - Epoch [47][1200/1873] lr: 1.560e-01, eta: 19:07:28, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2745, top5_acc: 0.5327, loss_cls: 5.6971, loss: 5.6971 +2023-12-21 07:19:24,055 - pyskl - INFO - Epoch [47][1300/1873] lr: 1.559e-01, eta: 19:06:47, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2826, top5_acc: 0.5341, loss_cls: 5.6692, loss: 5.6692 +2023-12-21 07:19:57,212 - pyskl - INFO - Epoch [47][1400/1873] lr: 1.558e-01, eta: 19:06:06, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2756, top5_acc: 0.5227, loss_cls: 5.6949, loss: 5.6949 +2023-12-21 07:20:30,397 - pyskl - INFO - Epoch [47][1500/1873] lr: 1.557e-01, eta: 19:05:25, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2698, top5_acc: 0.5230, loss_cls: 5.7268, loss: 5.7268 +2023-12-21 07:21:03,567 - pyskl - INFO - Epoch [47][1600/1873] lr: 1.556e-01, eta: 19:04:44, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2716, top5_acc: 0.5200, loss_cls: 5.7073, loss: 5.7073 +2023-12-21 07:21:36,545 - pyskl - INFO - Epoch [47][1700/1873] lr: 1.555e-01, eta: 19:04:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2755, top5_acc: 0.5233, loss_cls: 5.7381, loss: 5.7381 +2023-12-21 07:22:09,310 - pyskl - INFO - Epoch [47][1800/1873] lr: 1.554e-01, eta: 19:03:21, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2719, top5_acc: 0.5250, loss_cls: 5.7096, loss: 5.7096 +2023-12-21 07:22:37,452 - pyskl - INFO - Saving checkpoint at 47 epochs +2023-12-21 07:23:22,585 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 07:23:23,628 - pyskl - INFO - +top1_acc 0.2183 +top5_acc 0.4476 +2023-12-21 07:23:23,628 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 07:23:23,677 - pyskl - INFO - +mean_acc 0.2180 +2023-12-21 07:23:23,683 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_40.pth was removed +2023-12-21 07:23:23,917 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. +2023-12-21 07:23:23,918 - pyskl - INFO - Best top1_acc is 0.2183 at 47 epoch. +2023-12-21 07:23:23,928 - pyskl - INFO - Epoch(val) [47][155] top1_acc: 0.2183, top5_acc: 0.4476, mean_class_accuracy: 0.2180 +2023-12-21 07:25:07,663 - pyskl - INFO - Epoch [48][100/1873] lr: 1.552e-01, eta: 19:03:52, time: 1.037, data_time: 0.707, memory: 8129, top1_acc: 0.2759, top5_acc: 0.5327, loss_cls: 5.6872, loss: 5.6872 +2023-12-21 07:25:40,750 - pyskl - INFO - Epoch [48][200/1873] lr: 1.552e-01, eta: 19:03:11, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2716, top5_acc: 0.5330, loss_cls: 5.7061, loss: 5.7061 +2023-12-21 07:26:13,848 - pyskl - INFO - Epoch [48][300/1873] lr: 1.551e-01, eta: 19:02:30, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2868, top5_acc: 0.5373, loss_cls: 5.6459, loss: 5.6459 +2023-12-21 07:26:46,874 - pyskl - INFO - Epoch [48][400/1873] lr: 1.550e-01, eta: 19:01:49, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2712, top5_acc: 0.5278, loss_cls: 5.7034, loss: 5.7034 +2023-12-21 07:27:19,985 - pyskl - INFO - Epoch [48][500/1873] lr: 1.549e-01, eta: 19:01:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2767, top5_acc: 0.5298, loss_cls: 5.6985, loss: 5.6985 +2023-12-21 07:27:53,065 - pyskl - INFO - Epoch [48][600/1873] lr: 1.548e-01, eta: 19:00:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2767, top5_acc: 0.5249, loss_cls: 5.6868, loss: 5.6868 +2023-12-21 07:28:26,159 - pyskl - INFO - Epoch [48][700/1873] lr: 1.547e-01, eta: 18:59:46, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2738, top5_acc: 0.5213, loss_cls: 5.7260, loss: 5.7260 +2023-12-21 07:28:59,068 - pyskl - INFO - Epoch [48][800/1873] lr: 1.546e-01, eta: 18:59:05, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2709, top5_acc: 0.5197, loss_cls: 5.7069, loss: 5.7069 +2023-12-21 07:29:32,078 - pyskl - INFO - Epoch [48][900/1873] lr: 1.545e-01, eta: 18:58:23, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2723, top5_acc: 0.5341, loss_cls: 5.7122, loss: 5.7122 +2023-12-21 07:30:05,324 - pyskl - INFO - Epoch [48][1000/1873] lr: 1.544e-01, eta: 18:57:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2755, top5_acc: 0.5245, loss_cls: 5.7170, loss: 5.7170 +2023-12-21 07:30:38,551 - pyskl - INFO - Epoch [48][1100/1873] lr: 1.543e-01, eta: 18:57:02, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2762, top5_acc: 0.5245, loss_cls: 5.6923, loss: 5.6923 +2023-12-21 07:31:11,888 - pyskl - INFO - Epoch [48][1200/1873] lr: 1.542e-01, eta: 18:56:22, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2787, top5_acc: 0.5287, loss_cls: 5.6843, loss: 5.6843 +2023-12-21 07:31:45,041 - pyskl - INFO - Epoch [48][1300/1873] lr: 1.541e-01, eta: 18:55:41, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2768, top5_acc: 0.5279, loss_cls: 5.7000, loss: 5.7000 +2023-12-21 07:32:18,199 - pyskl - INFO - Epoch [48][1400/1873] lr: 1.540e-01, eta: 18:55:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2751, top5_acc: 0.5309, loss_cls: 5.6938, loss: 5.6938 +2023-12-21 07:32:51,497 - pyskl - INFO - Epoch [48][1500/1873] lr: 1.539e-01, eta: 18:54:20, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2663, top5_acc: 0.5189, loss_cls: 5.7467, loss: 5.7467 +2023-12-21 07:33:24,717 - pyskl - INFO - Epoch [48][1600/1873] lr: 1.538e-01, eta: 18:53:39, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2715, top5_acc: 0.5275, loss_cls: 5.7081, loss: 5.7081 +2023-12-21 07:33:57,887 - pyskl - INFO - Epoch [48][1700/1873] lr: 1.537e-01, eta: 18:52:59, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2819, top5_acc: 0.5315, loss_cls: 5.6738, loss: 5.6738 +2023-12-21 07:34:30,705 - pyskl - INFO - Epoch [48][1800/1873] lr: 1.537e-01, eta: 18:52:17, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2719, top5_acc: 0.5263, loss_cls: 5.6943, loss: 5.6943 +2023-12-21 07:34:58,831 - pyskl - INFO - Saving checkpoint at 48 epochs +2023-12-21 07:35:44,334 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 07:35:45,426 - pyskl - INFO - +top1_acc 0.2029 +top5_acc 0.4333 +2023-12-21 07:35:45,427 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 07:35:45,483 - pyskl - INFO - +mean_acc 0.2029 +2023-12-21 07:35:45,504 - pyskl - INFO - Epoch(val) [48][155] top1_acc: 0.2029, top5_acc: 0.4333, mean_class_accuracy: 0.2029 +2023-12-21 07:37:27,445 - pyskl - INFO - Epoch [49][100/1873] lr: 1.535e-01, eta: 18:52:42, time: 1.019, data_time: 0.688, memory: 8129, top1_acc: 0.2756, top5_acc: 0.5259, loss_cls: 5.7084, loss: 5.7084 +2023-12-21 07:38:00,549 - pyskl - INFO - Epoch [49][200/1873] lr: 1.534e-01, eta: 18:52:01, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2733, top5_acc: 0.5323, loss_cls: 5.6823, loss: 5.6823 +2023-12-21 07:38:33,582 - pyskl - INFO - Epoch [49][300/1873] lr: 1.533e-01, eta: 18:51:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2755, top5_acc: 0.5309, loss_cls: 5.6892, loss: 5.6892 +2023-12-21 07:39:06,545 - pyskl - INFO - Epoch [49][400/1873] lr: 1.532e-01, eta: 18:50:39, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2758, top5_acc: 0.5296, loss_cls: 5.6888, loss: 5.6888 +2023-12-21 07:39:39,579 - pyskl - INFO - Epoch [49][500/1873] lr: 1.531e-01, eta: 18:49:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2813, top5_acc: 0.5407, loss_cls: 5.6727, loss: 5.6727 +2023-12-21 07:40:12,552 - pyskl - INFO - Epoch [49][600/1873] lr: 1.530e-01, eta: 18:49:17, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2747, top5_acc: 0.5265, loss_cls: 5.7054, loss: 5.7054 +2023-12-21 07:40:45,544 - pyskl - INFO - Epoch [49][700/1873] lr: 1.529e-01, eta: 18:48:36, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2697, top5_acc: 0.5241, loss_cls: 5.7151, loss: 5.7151 +2023-12-21 07:41:18,527 - pyskl - INFO - Epoch [49][800/1873] lr: 1.528e-01, eta: 18:47:55, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2738, top5_acc: 0.5264, loss_cls: 5.6891, loss: 5.6891 +2023-12-21 07:41:51,405 - pyskl - INFO - Epoch [49][900/1873] lr: 1.527e-01, eta: 18:47:14, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2799, top5_acc: 0.5293, loss_cls: 5.6869, loss: 5.6869 +2023-12-21 07:42:24,235 - pyskl - INFO - Epoch [49][1000/1873] lr: 1.526e-01, eta: 18:46:32, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2701, top5_acc: 0.5241, loss_cls: 5.7080, loss: 5.7080 +2023-12-21 07:42:56,968 - pyskl - INFO - Epoch [49][1100/1873] lr: 1.525e-01, eta: 18:45:51, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2720, top5_acc: 0.5298, loss_cls: 5.6949, loss: 5.6949 +2023-12-21 07:43:29,790 - pyskl - INFO - Epoch [49][1200/1873] lr: 1.524e-01, eta: 18:45:09, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2783, top5_acc: 0.5331, loss_cls: 5.6807, loss: 5.6807 +2023-12-21 07:44:02,802 - pyskl - INFO - Epoch [49][1300/1873] lr: 1.524e-01, eta: 18:44:29, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2731, top5_acc: 0.5275, loss_cls: 5.6773, loss: 5.6773 +2023-12-21 07:44:35,883 - pyskl - INFO - Epoch [49][1400/1873] lr: 1.523e-01, eta: 18:43:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2762, top5_acc: 0.5308, loss_cls: 5.6885, loss: 5.6885 +2023-12-21 07:45:08,950 - pyskl - INFO - Epoch [49][1500/1873] lr: 1.522e-01, eta: 18:43:07, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2766, top5_acc: 0.5332, loss_cls: 5.6827, loss: 5.6827 +2023-12-21 07:45:42,059 - pyskl - INFO - Epoch [49][1600/1873] lr: 1.521e-01, eta: 18:42:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2760, top5_acc: 0.5288, loss_cls: 5.6820, loss: 5.6820 +2023-12-21 07:46:15,203 - pyskl - INFO - Epoch [49][1700/1873] lr: 1.520e-01, eta: 18:41:46, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2777, top5_acc: 0.5295, loss_cls: 5.6999, loss: 5.6999 +2023-12-21 07:46:48,196 - pyskl - INFO - Epoch [49][1800/1873] lr: 1.519e-01, eta: 18:41:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2762, top5_acc: 0.5282, loss_cls: 5.6930, loss: 5.6930 +2023-12-21 07:47:16,290 - pyskl - INFO - Saving checkpoint at 49 epochs +2023-12-21 07:48:01,180 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 07:48:01,886 - pyskl - INFO - +top1_acc 0.2045 +top5_acc 0.4176 +2023-12-21 07:48:01,887 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 07:48:01,921 - pyskl - INFO - +mean_acc 0.2044 +2023-12-21 07:48:01,930 - pyskl - INFO - Epoch(val) [49][155] top1_acc: 0.2045, top5_acc: 0.4176, mean_class_accuracy: 0.2044 +2023-12-21 07:49:42,385 - pyskl - INFO - Epoch [50][100/1873] lr: 1.517e-01, eta: 18:41:24, time: 1.004, data_time: 0.661, memory: 8129, top1_acc: 0.2799, top5_acc: 0.5383, loss_cls: 5.6550, loss: 5.6550 +2023-12-21 07:50:15,198 - pyskl - INFO - Epoch [50][200/1873] lr: 1.516e-01, eta: 18:40:43, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2824, top5_acc: 0.5434, loss_cls: 5.6406, loss: 5.6406 +2023-12-21 07:50:48,157 - pyskl - INFO - Epoch [50][300/1873] lr: 1.515e-01, eta: 18:40:02, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2687, top5_acc: 0.5273, loss_cls: 5.7109, loss: 5.7109 +2023-12-21 07:51:21,105 - pyskl - INFO - Epoch [50][400/1873] lr: 1.514e-01, eta: 18:39:21, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2732, top5_acc: 0.5357, loss_cls: 5.6773, loss: 5.6773 +2023-12-21 07:51:53,938 - pyskl - INFO - Epoch [50][500/1873] lr: 1.513e-01, eta: 18:38:39, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2791, top5_acc: 0.5327, loss_cls: 5.6698, loss: 5.6698 +2023-12-21 07:52:26,690 - pyskl - INFO - Epoch [50][600/1873] lr: 1.512e-01, eta: 18:37:58, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2817, top5_acc: 0.5295, loss_cls: 5.6733, loss: 5.6733 +2023-12-21 07:52:59,654 - pyskl - INFO - Epoch [50][700/1873] lr: 1.511e-01, eta: 18:37:17, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2756, top5_acc: 0.5288, loss_cls: 5.6899, loss: 5.6899 +2023-12-21 07:53:32,528 - pyskl - INFO - Epoch [50][800/1873] lr: 1.510e-01, eta: 18:36:36, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2797, top5_acc: 0.5385, loss_cls: 5.6677, loss: 5.6677 +2023-12-21 07:54:05,171 - pyskl - INFO - Epoch [50][900/1873] lr: 1.509e-01, eta: 18:35:55, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.2686, top5_acc: 0.5179, loss_cls: 5.7299, loss: 5.7299 +2023-12-21 07:54:38,038 - pyskl - INFO - Epoch [50][1000/1873] lr: 1.508e-01, eta: 18:35:14, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2824, top5_acc: 0.5321, loss_cls: 5.6628, loss: 5.6628 +2023-12-21 07:55:10,872 - pyskl - INFO - Epoch [50][1100/1873] lr: 1.507e-01, eta: 18:34:33, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2771, top5_acc: 0.5334, loss_cls: 5.6614, loss: 5.6614 +2023-12-21 07:55:43,731 - pyskl - INFO - Epoch [50][1200/1873] lr: 1.507e-01, eta: 18:33:52, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2719, top5_acc: 0.5278, loss_cls: 5.7120, loss: 5.7120 +2023-12-21 07:56:16,549 - pyskl - INFO - Epoch [50][1300/1873] lr: 1.506e-01, eta: 18:33:10, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2706, top5_acc: 0.5262, loss_cls: 5.7153, loss: 5.7153 +2023-12-21 07:56:49,267 - pyskl - INFO - Epoch [50][1400/1873] lr: 1.505e-01, eta: 18:32:29, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2823, top5_acc: 0.5304, loss_cls: 5.6905, loss: 5.6905 +2023-12-21 07:57:22,029 - pyskl - INFO - Epoch [50][1500/1873] lr: 1.504e-01, eta: 18:31:48, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2721, top5_acc: 0.5277, loss_cls: 5.7238, loss: 5.7238 +2023-12-21 07:57:54,571 - pyskl - INFO - Epoch [50][1600/1873] lr: 1.503e-01, eta: 18:31:06, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.2795, top5_acc: 0.5316, loss_cls: 5.6749, loss: 5.6749 +2023-12-21 07:58:27,284 - pyskl - INFO - Epoch [50][1700/1873] lr: 1.502e-01, eta: 18:30:25, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2830, top5_acc: 0.5314, loss_cls: 5.6747, loss: 5.6747 +2023-12-21 07:59:00,220 - pyskl - INFO - Epoch [50][1800/1873] lr: 1.501e-01, eta: 18:29:44, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2782, top5_acc: 0.5281, loss_cls: 5.7124, loss: 5.7124 +2023-12-21 07:59:27,489 - pyskl - INFO - Saving checkpoint at 50 epochs +2023-12-21 08:00:13,509 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 08:00:14,235 - pyskl - INFO - +top1_acc 0.2135 +top5_acc 0.4572 +2023-12-21 08:00:14,235 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 08:00:14,272 - pyskl - INFO - +mean_acc 0.2133 +2023-12-21 08:00:14,284 - pyskl - INFO - Epoch(val) [50][155] top1_acc: 0.2135, top5_acc: 0.4572, mean_class_accuracy: 0.2133 +2023-12-21 08:01:57,875 - pyskl - INFO - Epoch [51][100/1873] lr: 1.499e-01, eta: 18:30:07, time: 1.036, data_time: 0.675, memory: 8129, top1_acc: 0.2799, top5_acc: 0.5364, loss_cls: 5.6514, loss: 5.6514 +2023-12-21 08:02:30,888 - pyskl - INFO - Epoch [51][200/1873] lr: 1.498e-01, eta: 18:29:26, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2847, top5_acc: 0.5440, loss_cls: 5.6280, loss: 5.6280 +2023-12-21 08:03:03,883 - pyskl - INFO - Epoch [51][300/1873] lr: 1.497e-01, eta: 18:28:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2768, top5_acc: 0.5337, loss_cls: 5.6737, loss: 5.6737 +2023-12-21 08:03:37,092 - pyskl - INFO - Epoch [51][400/1873] lr: 1.496e-01, eta: 18:28:05, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2759, top5_acc: 0.5325, loss_cls: 5.6785, loss: 5.6785 +2023-12-21 08:04:10,162 - pyskl - INFO - Epoch [51][500/1873] lr: 1.495e-01, eta: 18:27:25, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2753, top5_acc: 0.5234, loss_cls: 5.7185, loss: 5.7185 +2023-12-21 08:04:43,354 - pyskl - INFO - Epoch [51][600/1873] lr: 1.494e-01, eta: 18:26:45, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2724, top5_acc: 0.5337, loss_cls: 5.6785, loss: 5.6785 +2023-12-21 08:05:16,303 - pyskl - INFO - Epoch [51][700/1873] lr: 1.493e-01, eta: 18:26:04, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2804, top5_acc: 0.5256, loss_cls: 5.6879, loss: 5.6879 +2023-12-21 08:05:49,340 - pyskl - INFO - Epoch [51][800/1873] lr: 1.492e-01, eta: 18:25:23, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2776, top5_acc: 0.5321, loss_cls: 5.6796, loss: 5.6796 +2023-12-21 08:06:22,513 - pyskl - INFO - Epoch [51][900/1873] lr: 1.491e-01, eta: 18:24:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2692, top5_acc: 0.5190, loss_cls: 5.7254, loss: 5.7254 +2023-12-21 08:06:55,702 - pyskl - INFO - Epoch [51][1000/1873] lr: 1.490e-01, eta: 18:24:03, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2812, top5_acc: 0.5354, loss_cls: 5.6463, loss: 5.6463 +2023-12-21 08:07:28,707 - pyskl - INFO - Epoch [51][1100/1873] lr: 1.489e-01, eta: 18:23:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2745, top5_acc: 0.5304, loss_cls: 5.7082, loss: 5.7082 +2023-12-21 08:08:01,959 - pyskl - INFO - Epoch [51][1200/1873] lr: 1.488e-01, eta: 18:22:42, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2760, top5_acc: 0.5304, loss_cls: 5.6908, loss: 5.6908 +2023-12-21 08:08:35,257 - pyskl - INFO - Epoch [51][1300/1873] lr: 1.487e-01, eta: 18:22:02, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2778, top5_acc: 0.5308, loss_cls: 5.6791, loss: 5.6791 +2023-12-21 08:09:08,366 - pyskl - INFO - Epoch [51][1400/1873] lr: 1.486e-01, eta: 18:21:22, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2723, top5_acc: 0.5327, loss_cls: 5.6927, loss: 5.6927 +2023-12-21 08:09:41,318 - pyskl - INFO - Epoch [51][1500/1873] lr: 1.485e-01, eta: 18:20:41, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2784, top5_acc: 0.5323, loss_cls: 5.6757, loss: 5.6757 +2023-12-21 08:10:14,717 - pyskl - INFO - Epoch [51][1600/1873] lr: 1.484e-01, eta: 18:20:01, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2765, top5_acc: 0.5341, loss_cls: 5.6743, loss: 5.6743 +2023-12-21 08:10:47,725 - pyskl - INFO - Epoch [51][1700/1873] lr: 1.483e-01, eta: 18:19:21, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2739, top5_acc: 0.5295, loss_cls: 5.7019, loss: 5.7019 +2023-12-21 08:11:20,870 - pyskl - INFO - Epoch [51][1800/1873] lr: 1.482e-01, eta: 18:18:41, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2780, top5_acc: 0.5311, loss_cls: 5.6596, loss: 5.6596 +2023-12-21 08:11:48,159 - pyskl - INFO - Saving checkpoint at 51 epochs +2023-12-21 08:12:35,000 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 08:12:35,709 - pyskl - INFO - +top1_acc 0.2206 +top5_acc 0.4551 +2023-12-21 08:12:35,709 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 08:12:35,741 - pyskl - INFO - +mean_acc 0.2203 +2023-12-21 08:12:35,746 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_47.pth was removed +2023-12-21 08:12:35,922 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_51.pth. +2023-12-21 08:12:35,923 - pyskl - INFO - Best top1_acc is 0.2206 at 51 epoch. +2023-12-21 08:12:35,936 - pyskl - INFO - Epoch(val) [51][155] top1_acc: 0.2206, top5_acc: 0.4551, mean_class_accuracy: 0.2203 +2023-12-21 08:14:17,008 - pyskl - INFO - Epoch [52][100/1873] lr: 1.481e-01, eta: 18:18:56, time: 1.011, data_time: 0.666, memory: 8129, top1_acc: 0.2927, top5_acc: 0.5370, loss_cls: 5.6207, loss: 5.6207 +2023-12-21 08:14:49,718 - pyskl - INFO - Epoch [52][200/1873] lr: 1.480e-01, eta: 18:18:15, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2811, top5_acc: 0.5329, loss_cls: 5.6467, loss: 5.6467 +2023-12-21 08:15:22,624 - pyskl - INFO - Epoch [52][300/1873] lr: 1.479e-01, eta: 18:17:34, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2812, top5_acc: 0.5341, loss_cls: 5.6398, loss: 5.6398 +2023-12-21 08:15:55,489 - pyskl - INFO - Epoch [52][400/1873] lr: 1.478e-01, eta: 18:16:53, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2732, top5_acc: 0.5354, loss_cls: 5.6693, loss: 5.6693 +2023-12-21 08:16:28,393 - pyskl - INFO - Epoch [52][500/1873] lr: 1.477e-01, eta: 18:16:13, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2794, top5_acc: 0.5320, loss_cls: 5.6710, loss: 5.6710 +2023-12-21 08:17:01,351 - pyskl - INFO - Epoch [52][600/1873] lr: 1.476e-01, eta: 18:15:32, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2755, top5_acc: 0.5316, loss_cls: 5.6877, loss: 5.6877 +2023-12-21 08:17:34,623 - pyskl - INFO - Epoch [52][700/1873] lr: 1.475e-01, eta: 18:14:52, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2766, top5_acc: 0.5322, loss_cls: 5.6904, loss: 5.6904 +2023-12-21 08:18:07,530 - pyskl - INFO - Epoch [52][800/1873] lr: 1.474e-01, eta: 18:14:11, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2795, top5_acc: 0.5321, loss_cls: 5.6775, loss: 5.6775 +2023-12-21 08:18:40,537 - pyskl - INFO - Epoch [52][900/1873] lr: 1.473e-01, eta: 18:13:31, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2744, top5_acc: 0.5295, loss_cls: 5.6756, loss: 5.6756 +2023-12-21 08:19:13,610 - pyskl - INFO - Epoch [52][1000/1873] lr: 1.472e-01, eta: 18:12:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2795, top5_acc: 0.5343, loss_cls: 5.6612, loss: 5.6612 +2023-12-21 08:19:46,494 - pyskl - INFO - Epoch [52][1100/1873] lr: 1.471e-01, eta: 18:12:10, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2716, top5_acc: 0.5247, loss_cls: 5.7060, loss: 5.7060 +2023-12-21 08:20:19,383 - pyskl - INFO - Epoch [52][1200/1873] lr: 1.470e-01, eta: 18:11:29, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2706, top5_acc: 0.5303, loss_cls: 5.6947, loss: 5.6947 +2023-12-21 08:20:52,514 - pyskl - INFO - Epoch [52][1300/1873] lr: 1.469e-01, eta: 18:10:49, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2847, top5_acc: 0.5365, loss_cls: 5.6476, loss: 5.6476 +2023-12-21 08:21:25,488 - pyskl - INFO - Epoch [52][1400/1873] lr: 1.468e-01, eta: 18:10:09, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2779, top5_acc: 0.5345, loss_cls: 5.6600, loss: 5.6600 +2023-12-21 08:21:58,392 - pyskl - INFO - Epoch [52][1500/1873] lr: 1.467e-01, eta: 18:09:28, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2761, top5_acc: 0.5302, loss_cls: 5.6726, loss: 5.6726 +2023-12-21 08:22:31,359 - pyskl - INFO - Epoch [52][1600/1873] lr: 1.466e-01, eta: 18:08:48, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2798, top5_acc: 0.5316, loss_cls: 5.6891, loss: 5.6891 +2023-12-21 08:23:04,227 - pyskl - INFO - Epoch [52][1700/1873] lr: 1.465e-01, eta: 18:08:07, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2822, top5_acc: 0.5318, loss_cls: 5.6794, loss: 5.6794 +2023-12-21 08:23:37,202 - pyskl - INFO - Epoch [52][1800/1873] lr: 1.464e-01, eta: 18:07:27, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2783, top5_acc: 0.5377, loss_cls: 5.6516, loss: 5.6516 +2023-12-21 08:24:04,280 - pyskl - INFO - Saving checkpoint at 52 epochs +2023-12-21 08:24:49,846 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 08:24:50,570 - pyskl - INFO - +top1_acc 0.2104 +top5_acc 0.4530 +2023-12-21 08:24:50,570 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 08:24:50,605 - pyskl - INFO - +mean_acc 0.2104 +2023-12-21 08:24:50,614 - pyskl - INFO - Epoch(val) [52][155] top1_acc: 0.2104, top5_acc: 0.4530, mean_class_accuracy: 0.2104 +2023-12-21 08:26:30,908 - pyskl - INFO - Epoch [53][100/1873] lr: 1.462e-01, eta: 18:07:38, time: 1.003, data_time: 0.671, memory: 8129, top1_acc: 0.2831, top5_acc: 0.5401, loss_cls: 5.6154, loss: 5.6154 +2023-12-21 08:27:03,856 - pyskl - INFO - Epoch [53][200/1873] lr: 1.461e-01, eta: 18:06:58, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2934, top5_acc: 0.5472, loss_cls: 5.5874, loss: 5.5874 +2023-12-21 08:27:36,976 - pyskl - INFO - Epoch [53][300/1873] lr: 1.460e-01, eta: 18:06:18, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2844, top5_acc: 0.5322, loss_cls: 5.6510, loss: 5.6510 +2023-12-21 08:28:09,976 - pyskl - INFO - Epoch [53][400/1873] lr: 1.459e-01, eta: 18:05:37, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2862, top5_acc: 0.5400, loss_cls: 5.6315, loss: 5.6315 +2023-12-21 08:28:43,086 - pyskl - INFO - Epoch [53][500/1873] lr: 1.458e-01, eta: 18:04:57, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2783, top5_acc: 0.5360, loss_cls: 5.6764, loss: 5.6764 +2023-12-21 08:29:16,211 - pyskl - INFO - Epoch [53][600/1873] lr: 1.457e-01, eta: 18:04:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2759, top5_acc: 0.5298, loss_cls: 5.6921, loss: 5.6921 +2023-12-21 08:29:49,299 - pyskl - INFO - Epoch [53][700/1873] lr: 1.456e-01, eta: 18:03:37, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2778, top5_acc: 0.5288, loss_cls: 5.6870, loss: 5.6870 +2023-12-21 08:30:22,372 - pyskl - INFO - Epoch [53][800/1873] lr: 1.455e-01, eta: 18:02:57, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2829, top5_acc: 0.5329, loss_cls: 5.6630, loss: 5.6630 +2023-12-21 08:30:55,249 - pyskl - INFO - Epoch [53][900/1873] lr: 1.454e-01, eta: 18:02:16, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2811, top5_acc: 0.5381, loss_cls: 5.6580, loss: 5.6580 +2023-12-21 08:31:28,210 - pyskl - INFO - Epoch [53][1000/1873] lr: 1.453e-01, eta: 18:01:36, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2889, top5_acc: 0.5421, loss_cls: 5.6450, loss: 5.6450 +2023-12-21 08:32:01,149 - pyskl - INFO - Epoch [53][1100/1873] lr: 1.452e-01, eta: 18:00:56, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2702, top5_acc: 0.5384, loss_cls: 5.6770, loss: 5.6770 +2023-12-21 08:32:34,298 - pyskl - INFO - Epoch [53][1200/1873] lr: 1.451e-01, eta: 18:00:16, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2729, top5_acc: 0.5274, loss_cls: 5.6917, loss: 5.6917 +2023-12-21 08:33:07,230 - pyskl - INFO - Epoch [53][1300/1873] lr: 1.450e-01, eta: 17:59:35, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2807, top5_acc: 0.5337, loss_cls: 5.6704, loss: 5.6704 +2023-12-21 08:33:40,373 - pyskl - INFO - Epoch [53][1400/1873] lr: 1.449e-01, eta: 17:58:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2800, top5_acc: 0.5327, loss_cls: 5.6808, loss: 5.6808 +2023-12-21 08:34:13,254 - pyskl - INFO - Epoch [53][1500/1873] lr: 1.448e-01, eta: 17:58:15, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2770, top5_acc: 0.5298, loss_cls: 5.6775, loss: 5.6775 +2023-12-21 08:34:46,034 - pyskl - INFO - Epoch [53][1600/1873] lr: 1.447e-01, eta: 17:57:34, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2867, top5_acc: 0.5400, loss_cls: 5.6240, loss: 5.6240 +2023-12-21 08:35:18,942 - pyskl - INFO - Epoch [53][1700/1873] lr: 1.446e-01, eta: 17:56:54, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2781, top5_acc: 0.5287, loss_cls: 5.6940, loss: 5.6940 +2023-12-21 08:35:51,834 - pyskl - INFO - Epoch [53][1800/1873] lr: 1.445e-01, eta: 17:56:13, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2778, top5_acc: 0.5332, loss_cls: 5.6736, loss: 5.6736 +2023-12-21 08:36:18,396 - pyskl - INFO - Saving checkpoint at 53 epochs +2023-12-21 08:37:08,335 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 08:37:09,047 - pyskl - INFO - +top1_acc 0.2199 +top5_acc 0.4562 +2023-12-21 08:37:09,047 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 08:37:09,084 - pyskl - INFO - +mean_acc 0.2196 +2023-12-21 08:37:09,093 - pyskl - INFO - Epoch(val) [53][155] top1_acc: 0.2199, top5_acc: 0.4562, mean_class_accuracy: 0.2196 +2023-12-21 08:38:53,972 - pyskl - INFO - Epoch [54][100/1873] lr: 1.444e-01, eta: 17:56:31, time: 1.049, data_time: 0.670, memory: 8129, top1_acc: 0.2897, top5_acc: 0.5413, loss_cls: 5.6145, loss: 5.6145 +2023-12-21 08:39:26,822 - pyskl - INFO - Epoch [54][200/1873] lr: 1.443e-01, eta: 17:55:51, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2844, top5_acc: 0.5419, loss_cls: 5.6296, loss: 5.6296 +2023-12-21 08:39:59,730 - pyskl - INFO - Epoch [54][300/1873] lr: 1.442e-01, eta: 17:55:10, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2858, top5_acc: 0.5420, loss_cls: 5.6198, loss: 5.6198 +2023-12-21 08:40:32,824 - pyskl - INFO - Epoch [54][400/1873] lr: 1.441e-01, eta: 17:54:30, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2773, top5_acc: 0.5291, loss_cls: 5.6762, loss: 5.6762 +2023-12-21 08:41:05,642 - pyskl - INFO - Epoch [54][500/1873] lr: 1.440e-01, eta: 17:53:50, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2809, top5_acc: 0.5391, loss_cls: 5.6414, loss: 5.6414 +2023-12-21 08:41:38,529 - pyskl - INFO - Epoch [54][600/1873] lr: 1.439e-01, eta: 17:53:09, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2884, top5_acc: 0.5432, loss_cls: 5.6300, loss: 5.6300 +2023-12-21 08:42:11,672 - pyskl - INFO - Epoch [54][700/1873] lr: 1.438e-01, eta: 17:52:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2834, top5_acc: 0.5313, loss_cls: 5.6665, loss: 5.6665 +2023-12-21 08:42:44,481 - pyskl - INFO - Epoch [54][800/1873] lr: 1.437e-01, eta: 17:51:49, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2795, top5_acc: 0.5358, loss_cls: 5.6642, loss: 5.6642 +2023-12-21 08:43:17,245 - pyskl - INFO - Epoch [54][900/1873] lr: 1.436e-01, eta: 17:51:08, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2859, top5_acc: 0.5359, loss_cls: 5.6395, loss: 5.6395 +2023-12-21 08:43:50,107 - pyskl - INFO - Epoch [54][1000/1873] lr: 1.435e-01, eta: 17:50:28, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2820, top5_acc: 0.5360, loss_cls: 5.6501, loss: 5.6501 +2023-12-21 08:44:22,898 - pyskl - INFO - Epoch [54][1100/1873] lr: 1.434e-01, eta: 17:49:47, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2785, top5_acc: 0.5389, loss_cls: 5.6525, loss: 5.6525 +2023-12-21 08:44:55,917 - pyskl - INFO - Epoch [54][1200/1873] lr: 1.433e-01, eta: 17:49:07, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2807, top5_acc: 0.5273, loss_cls: 5.6569, loss: 5.6569 +2023-12-21 08:45:28,866 - pyskl - INFO - Epoch [54][1300/1873] lr: 1.432e-01, eta: 17:48:27, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2782, top5_acc: 0.5327, loss_cls: 5.6651, loss: 5.6651 +2023-12-21 08:46:01,905 - pyskl - INFO - Epoch [54][1400/1873] lr: 1.431e-01, eta: 17:47:47, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2836, top5_acc: 0.5371, loss_cls: 5.6433, loss: 5.6433 +2023-12-21 08:46:34,879 - pyskl - INFO - Epoch [54][1500/1873] lr: 1.430e-01, eta: 17:47:07, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2875, top5_acc: 0.5401, loss_cls: 5.6333, loss: 5.6333 +2023-12-21 08:47:07,953 - pyskl - INFO - Epoch [54][1600/1873] lr: 1.429e-01, eta: 17:46:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2784, top5_acc: 0.5272, loss_cls: 5.6774, loss: 5.6774 +2023-12-21 08:47:41,093 - pyskl - INFO - Epoch [54][1700/1873] lr: 1.428e-01, eta: 17:45:47, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2818, top5_acc: 0.5363, loss_cls: 5.6540, loss: 5.6540 +2023-12-21 08:48:14,328 - pyskl - INFO - Epoch [54][1800/1873] lr: 1.427e-01, eta: 17:45:08, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2818, top5_acc: 0.5356, loss_cls: 5.6811, loss: 5.6811 +2023-12-21 08:48:41,521 - pyskl - INFO - Saving checkpoint at 54 epochs +2023-12-21 08:49:29,602 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 08:49:30,661 - pyskl - INFO - +top1_acc 0.2017 +top5_acc 0.4270 +2023-12-21 08:49:30,662 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 08:49:30,705 - pyskl - INFO - +mean_acc 0.2016 +2023-12-21 08:49:30,715 - pyskl - INFO - Epoch(val) [54][155] top1_acc: 0.2017, top5_acc: 0.4270, mean_class_accuracy: 0.2016 +2023-12-21 08:51:11,912 - pyskl - INFO - Epoch [55][100/1873] lr: 1.425e-01, eta: 17:45:17, time: 1.012, data_time: 0.674, memory: 8129, top1_acc: 0.2845, top5_acc: 0.5377, loss_cls: 5.6104, loss: 5.6104 +2023-12-21 08:51:44,896 - pyskl - INFO - Epoch [55][200/1873] lr: 1.424e-01, eta: 17:44:36, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2859, top5_acc: 0.5441, loss_cls: 5.6154, loss: 5.6154 +2023-12-21 08:52:17,935 - pyskl - INFO - Epoch [55][300/1873] lr: 1.423e-01, eta: 17:43:56, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2932, top5_acc: 0.5430, loss_cls: 5.6030, loss: 5.6030 +2023-12-21 08:52:51,021 - pyskl - INFO - Epoch [55][400/1873] lr: 1.422e-01, eta: 17:43:16, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2854, top5_acc: 0.5416, loss_cls: 5.6326, loss: 5.6326 +2023-12-21 08:53:24,259 - pyskl - INFO - Epoch [55][500/1873] lr: 1.421e-01, eta: 17:42:37, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2868, top5_acc: 0.5428, loss_cls: 5.6331, loss: 5.6331 +2023-12-21 08:53:57,404 - pyskl - INFO - Epoch [55][600/1873] lr: 1.420e-01, eta: 17:41:57, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2875, top5_acc: 0.5468, loss_cls: 5.6218, loss: 5.6218 +2023-12-21 08:54:30,578 - pyskl - INFO - Epoch [55][700/1873] lr: 1.419e-01, eta: 17:41:17, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2797, top5_acc: 0.5350, loss_cls: 5.6536, loss: 5.6536 +2023-12-21 08:55:03,756 - pyskl - INFO - Epoch [55][800/1873] lr: 1.418e-01, eta: 17:40:38, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2838, top5_acc: 0.5379, loss_cls: 5.6607, loss: 5.6607 +2023-12-21 08:55:36,837 - pyskl - INFO - Epoch [55][900/1873] lr: 1.417e-01, eta: 17:39:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2859, top5_acc: 0.5410, loss_cls: 5.6451, loss: 5.6451 +2023-12-21 08:56:10,151 - pyskl - INFO - Epoch [55][1000/1873] lr: 1.416e-01, eta: 17:39:18, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2819, top5_acc: 0.5383, loss_cls: 5.6552, loss: 5.6552 +2023-12-21 08:56:43,230 - pyskl - INFO - Epoch [55][1100/1873] lr: 1.415e-01, eta: 17:38:38, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2784, top5_acc: 0.5310, loss_cls: 5.6699, loss: 5.6699 +2023-12-21 08:57:16,391 - pyskl - INFO - Epoch [55][1200/1873] lr: 1.414e-01, eta: 17:37:59, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2870, top5_acc: 0.5377, loss_cls: 5.6376, loss: 5.6376 +2023-12-21 08:57:49,571 - pyskl - INFO - Epoch [55][1300/1873] lr: 1.413e-01, eta: 17:37:19, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2805, top5_acc: 0.5332, loss_cls: 5.6613, loss: 5.6613 +2023-12-21 08:58:22,767 - pyskl - INFO - Epoch [55][1400/1873] lr: 1.412e-01, eta: 17:36:39, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2793, top5_acc: 0.5337, loss_cls: 5.6475, loss: 5.6475 +2023-12-21 08:58:55,732 - pyskl - INFO - Epoch [55][1500/1873] lr: 1.411e-01, eta: 17:35:59, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2825, top5_acc: 0.5368, loss_cls: 5.6502, loss: 5.6502 +2023-12-21 08:59:28,859 - pyskl - INFO - Epoch [55][1600/1873] lr: 1.410e-01, eta: 17:35:20, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2871, top5_acc: 0.5413, loss_cls: 5.6304, loss: 5.6304 +2023-12-21 09:00:01,915 - pyskl - INFO - Epoch [55][1700/1873] lr: 1.409e-01, eta: 17:34:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2799, top5_acc: 0.5347, loss_cls: 5.6688, loss: 5.6688 +2023-12-21 09:00:35,125 - pyskl - INFO - Epoch [55][1800/1873] lr: 1.407e-01, eta: 17:34:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2825, top5_acc: 0.5379, loss_cls: 5.6521, loss: 5.6521 +2023-12-21 09:01:02,110 - pyskl - INFO - Saving checkpoint at 55 epochs +2023-12-21 09:01:51,901 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 09:01:52,953 - pyskl - INFO - +top1_acc 0.2110 +top5_acc 0.4530 +2023-12-21 09:01:52,953 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 09:01:52,997 - pyskl - INFO - +mean_acc 0.2106 +2023-12-21 09:01:53,008 - pyskl - INFO - Epoch(val) [55][155] top1_acc: 0.2110, top5_acc: 0.4530, mean_class_accuracy: 0.2106 +2023-12-21 09:03:41,011 - pyskl - INFO - Epoch [56][100/1873] lr: 1.406e-01, eta: 17:34:19, time: 1.080, data_time: 0.747, memory: 8129, top1_acc: 0.2878, top5_acc: 0.5476, loss_cls: 5.6020, loss: 5.6020 +2023-12-21 09:04:14,019 - pyskl - INFO - Epoch [56][200/1873] lr: 1.405e-01, eta: 17:33:39, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2920, top5_acc: 0.5398, loss_cls: 5.6062, loss: 5.6062 +2023-12-21 09:04:47,261 - pyskl - INFO - Epoch [56][300/1873] lr: 1.404e-01, eta: 17:32:59, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2909, top5_acc: 0.5449, loss_cls: 5.6068, loss: 5.6068 +2023-12-21 09:05:20,148 - pyskl - INFO - Epoch [56][400/1873] lr: 1.403e-01, eta: 17:32:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2811, top5_acc: 0.5328, loss_cls: 5.6624, loss: 5.6624 +2023-12-21 09:05:53,242 - pyskl - INFO - Epoch [56][500/1873] lr: 1.402e-01, eta: 17:31:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2860, top5_acc: 0.5360, loss_cls: 5.6472, loss: 5.6472 +2023-12-21 09:06:26,243 - pyskl - INFO - Epoch [56][600/1873] lr: 1.401e-01, eta: 17:31:00, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2931, top5_acc: 0.5487, loss_cls: 5.5968, loss: 5.5968 +2023-12-21 09:06:59,145 - pyskl - INFO - Epoch [56][700/1873] lr: 1.400e-01, eta: 17:30:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2842, top5_acc: 0.5417, loss_cls: 5.6458, loss: 5.6458 +2023-12-21 09:07:32,038 - pyskl - INFO - Epoch [56][800/1873] lr: 1.399e-01, eta: 17:29:39, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2825, top5_acc: 0.5362, loss_cls: 5.6411, loss: 5.6411 +2023-12-21 09:08:05,000 - pyskl - INFO - Epoch [56][900/1873] lr: 1.398e-01, eta: 17:28:59, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2891, top5_acc: 0.5352, loss_cls: 5.6286, loss: 5.6286 +2023-12-21 09:08:37,975 - pyskl - INFO - Epoch [56][1000/1873] lr: 1.397e-01, eta: 17:28:19, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2831, top5_acc: 0.5383, loss_cls: 5.6236, loss: 5.6236 +2023-12-21 09:09:11,126 - pyskl - INFO - Epoch [56][1100/1873] lr: 1.395e-01, eta: 17:27:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2838, top5_acc: 0.5403, loss_cls: 5.6422, loss: 5.6422 +2023-12-21 09:09:44,087 - pyskl - INFO - Epoch [56][1200/1873] lr: 1.394e-01, eta: 17:27:00, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2863, top5_acc: 0.5430, loss_cls: 5.6277, loss: 5.6277 +2023-12-21 09:10:17,117 - pyskl - INFO - Epoch [56][1300/1873] lr: 1.393e-01, eta: 17:26:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2873, top5_acc: 0.5425, loss_cls: 5.6408, loss: 5.6408 +2023-12-21 09:10:49,902 - pyskl - INFO - Epoch [56][1400/1873] lr: 1.392e-01, eta: 17:25:40, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2809, top5_acc: 0.5344, loss_cls: 5.6696, loss: 5.6696 +2023-12-21 09:11:22,947 - pyskl - INFO - Epoch [56][1500/1873] lr: 1.391e-01, eta: 17:25:00, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2887, top5_acc: 0.5391, loss_cls: 5.6328, loss: 5.6328 +2023-12-21 09:11:56,237 - pyskl - INFO - Epoch [56][1600/1873] lr: 1.390e-01, eta: 17:24:21, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2798, top5_acc: 0.5372, loss_cls: 5.6520, loss: 5.6520 +2023-12-21 09:12:29,387 - pyskl - INFO - Epoch [56][1700/1873] lr: 1.389e-01, eta: 17:23:41, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2768, top5_acc: 0.5341, loss_cls: 5.6754, loss: 5.6754 +2023-12-21 09:13:02,392 - pyskl - INFO - Epoch [56][1800/1873] lr: 1.388e-01, eta: 17:23:01, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2852, top5_acc: 0.5340, loss_cls: 5.6629, loss: 5.6629 +2023-12-21 09:13:29,978 - pyskl - INFO - Saving checkpoint at 56 epochs +2023-12-21 09:14:16,149 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 09:14:17,230 - pyskl - INFO - +top1_acc 0.2381 +top5_acc 0.4776 +2023-12-21 09:14:17,230 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 09:14:17,277 - pyskl - INFO - +mean_acc 0.2378 +2023-12-21 09:14:17,284 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_51.pth was removed +2023-12-21 09:14:17,526 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. +2023-12-21 09:14:17,527 - pyskl - INFO - Best top1_acc is 0.2381 at 56 epoch. +2023-12-21 09:14:17,541 - pyskl - INFO - Epoch(val) [56][155] top1_acc: 0.2381, top5_acc: 0.4776, mean_class_accuracy: 0.2378 +2023-12-21 09:15:59,120 - pyskl - INFO - Epoch [57][100/1873] lr: 1.386e-01, eta: 17:23:07, time: 1.016, data_time: 0.684, memory: 8129, top1_acc: 0.2883, top5_acc: 0.5437, loss_cls: 5.6120, loss: 5.6120 +2023-12-21 09:16:32,555 - pyskl - INFO - Epoch [57][200/1873] lr: 1.385e-01, eta: 17:22:28, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2873, top5_acc: 0.5445, loss_cls: 5.6064, loss: 5.6064 +2023-12-21 09:17:05,923 - pyskl - INFO - Epoch [57][300/1873] lr: 1.384e-01, eta: 17:21:49, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2920, top5_acc: 0.5477, loss_cls: 5.5758, loss: 5.5758 +2023-12-21 09:17:39,285 - pyskl - INFO - Epoch [57][400/1873] lr: 1.383e-01, eta: 17:21:10, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2817, top5_acc: 0.5393, loss_cls: 5.6270, loss: 5.6270 +2023-12-21 09:18:12,457 - pyskl - INFO - Epoch [57][500/1873] lr: 1.382e-01, eta: 17:20:30, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2840, top5_acc: 0.5413, loss_cls: 5.6306, loss: 5.6306 +2023-12-21 09:18:45,695 - pyskl - INFO - Epoch [57][600/1873] lr: 1.381e-01, eta: 17:19:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2820, top5_acc: 0.5363, loss_cls: 5.6580, loss: 5.6580 +2023-12-21 09:19:19,105 - pyskl - INFO - Epoch [57][700/1873] lr: 1.380e-01, eta: 17:19:11, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2864, top5_acc: 0.5423, loss_cls: 5.6210, loss: 5.6210 +2023-12-21 09:19:52,346 - pyskl - INFO - Epoch [57][800/1873] lr: 1.379e-01, eta: 17:18:32, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2835, top5_acc: 0.5413, loss_cls: 5.6376, loss: 5.6376 +2023-12-21 09:20:25,471 - pyskl - INFO - Epoch [57][900/1873] lr: 1.378e-01, eta: 17:17:53, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2877, top5_acc: 0.5393, loss_cls: 5.6110, loss: 5.6110 +2023-12-21 09:20:58,858 - pyskl - INFO - Epoch [57][1000/1873] lr: 1.377e-01, eta: 17:17:13, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2905, top5_acc: 0.5453, loss_cls: 5.6169, loss: 5.6169 +2023-12-21 09:21:31,977 - pyskl - INFO - Epoch [57][1100/1873] lr: 1.376e-01, eta: 17:16:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2827, top5_acc: 0.5453, loss_cls: 5.6324, loss: 5.6324 +2023-12-21 09:22:05,162 - pyskl - INFO - Epoch [57][1200/1873] lr: 1.375e-01, eta: 17:15:54, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2770, top5_acc: 0.5416, loss_cls: 5.6475, loss: 5.6475 +2023-12-21 09:22:38,322 - pyskl - INFO - Epoch [57][1300/1873] lr: 1.374e-01, eta: 17:15:15, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2895, top5_acc: 0.5463, loss_cls: 5.6230, loss: 5.6230 +2023-12-21 09:23:11,570 - pyskl - INFO - Epoch [57][1400/1873] lr: 1.373e-01, eta: 17:14:36, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2850, top5_acc: 0.5456, loss_cls: 5.6347, loss: 5.6347 +2023-12-21 09:23:44,731 - pyskl - INFO - Epoch [57][1500/1873] lr: 1.372e-01, eta: 17:13:56, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2796, top5_acc: 0.5341, loss_cls: 5.6682, loss: 5.6682 +2023-12-21 09:24:18,149 - pyskl - INFO - Epoch [57][1600/1873] lr: 1.371e-01, eta: 17:13:17, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2885, top5_acc: 0.5408, loss_cls: 5.6275, loss: 5.6275 +2023-12-21 09:24:51,468 - pyskl - INFO - Epoch [57][1700/1873] lr: 1.370e-01, eta: 17:12:38, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2873, top5_acc: 0.5397, loss_cls: 5.6224, loss: 5.6224 +2023-12-21 09:25:24,513 - pyskl - INFO - Epoch [57][1800/1873] lr: 1.369e-01, eta: 17:11:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2891, top5_acc: 0.5387, loss_cls: 5.6419, loss: 5.6419 +2023-12-21 09:25:52,458 - pyskl - INFO - Saving checkpoint at 57 epochs +2023-12-21 09:26:37,950 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 09:26:38,678 - pyskl - INFO - +top1_acc 0.2097 +top5_acc 0.4420 +2023-12-21 09:26:38,679 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 09:26:38,713 - pyskl - INFO - +mean_acc 0.2095 +2023-12-21 09:26:38,723 - pyskl - INFO - Epoch(val) [57][155] top1_acc: 0.2097, top5_acc: 0.4420, mean_class_accuracy: 0.2095 +2023-12-21 09:28:23,233 - pyskl - INFO - Epoch [58][100/1873] lr: 1.367e-01, eta: 17:12:07, time: 1.045, data_time: 0.676, memory: 8129, top1_acc: 0.2916, top5_acc: 0.5535, loss_cls: 5.5819, loss: 5.5819 +2023-12-21 09:28:56,348 - pyskl - INFO - Epoch [58][200/1873] lr: 1.366e-01, eta: 17:11:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2888, top5_acc: 0.5449, loss_cls: 5.5984, loss: 5.5984 +2023-12-21 09:29:29,466 - pyskl - INFO - Epoch [58][300/1873] lr: 1.365e-01, eta: 17:10:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2919, top5_acc: 0.5513, loss_cls: 5.5904, loss: 5.5904 +2023-12-21 09:30:02,707 - pyskl - INFO - Epoch [58][400/1873] lr: 1.364e-01, eta: 17:10:08, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2866, top5_acc: 0.5429, loss_cls: 5.6179, loss: 5.6179 +2023-12-21 09:30:36,001 - pyskl - INFO - Epoch [58][500/1873] lr: 1.363e-01, eta: 17:09:29, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2877, top5_acc: 0.5438, loss_cls: 5.5950, loss: 5.5950 +2023-12-21 09:31:09,275 - pyskl - INFO - Epoch [58][600/1873] lr: 1.362e-01, eta: 17:08:50, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2893, top5_acc: 0.5463, loss_cls: 5.6271, loss: 5.6271 +2023-12-21 09:31:42,639 - pyskl - INFO - Epoch [58][700/1873] lr: 1.361e-01, eta: 17:08:11, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2830, top5_acc: 0.5391, loss_cls: 5.6308, loss: 5.6308 +2023-12-21 09:32:15,909 - pyskl - INFO - Epoch [58][800/1873] lr: 1.360e-01, eta: 17:07:32, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2822, top5_acc: 0.5362, loss_cls: 5.6472, loss: 5.6472 +2023-12-21 09:32:49,077 - pyskl - INFO - Epoch [58][900/1873] lr: 1.359e-01, eta: 17:06:52, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2913, top5_acc: 0.5445, loss_cls: 5.6053, loss: 5.6053 +2023-12-21 09:33:22,405 - pyskl - INFO - Epoch [58][1000/1873] lr: 1.358e-01, eta: 17:06:13, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2870, top5_acc: 0.5420, loss_cls: 5.6492, loss: 5.6492 +2023-12-21 09:33:55,456 - pyskl - INFO - Epoch [58][1100/1873] lr: 1.357e-01, eta: 17:05:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2869, top5_acc: 0.5449, loss_cls: 5.6146, loss: 5.6146 +2023-12-21 09:34:28,500 - pyskl - INFO - Epoch [58][1200/1873] lr: 1.356e-01, eta: 17:04:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2938, top5_acc: 0.5438, loss_cls: 5.6147, loss: 5.6147 +2023-12-21 09:35:01,663 - pyskl - INFO - Epoch [58][1300/1873] lr: 1.355e-01, eta: 17:04:15, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2862, top5_acc: 0.5402, loss_cls: 5.6292, loss: 5.6292 +2023-12-21 09:35:34,868 - pyskl - INFO - Epoch [58][1400/1873] lr: 1.354e-01, eta: 17:03:35, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2888, top5_acc: 0.5437, loss_cls: 5.6092, loss: 5.6092 +2023-12-21 09:36:08,071 - pyskl - INFO - Epoch [58][1500/1873] lr: 1.352e-01, eta: 17:02:56, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2854, top5_acc: 0.5375, loss_cls: 5.6259, loss: 5.6259 +2023-12-21 09:36:41,172 - pyskl - INFO - Epoch [58][1600/1873] lr: 1.351e-01, eta: 17:02:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2934, top5_acc: 0.5404, loss_cls: 5.6160, loss: 5.6160 +2023-12-21 09:37:14,408 - pyskl - INFO - Epoch [58][1700/1873] lr: 1.350e-01, eta: 17:01:37, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2841, top5_acc: 0.5423, loss_cls: 5.6384, loss: 5.6384 +2023-12-21 09:37:47,409 - pyskl - INFO - Epoch [58][1800/1873] lr: 1.349e-01, eta: 17:00:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2855, top5_acc: 0.5412, loss_cls: 5.6180, loss: 5.6180 +2023-12-21 09:38:15,907 - pyskl - INFO - Saving checkpoint at 58 epochs +2023-12-21 09:39:00,723 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 09:39:01,775 - pyskl - INFO - +top1_acc 0.2191 +top5_acc 0.4585 +2023-12-21 09:39:01,775 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 09:39:01,821 - pyskl - INFO - +mean_acc 0.2190 +2023-12-21 09:39:01,834 - pyskl - INFO - Epoch(val) [58][155] top1_acc: 0.2191, top5_acc: 0.4585, mean_class_accuracy: 0.2190 +2023-12-21 09:40:45,213 - pyskl - INFO - Epoch [59][100/1873] lr: 1.348e-01, eta: 17:01:03, time: 1.034, data_time: 0.683, memory: 8129, top1_acc: 0.2884, top5_acc: 0.5498, loss_cls: 5.5774, loss: 5.5774 +2023-12-21 09:41:18,196 - pyskl - INFO - Epoch [59][200/1873] lr: 1.346e-01, eta: 17:00:23, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2866, top5_acc: 0.5426, loss_cls: 5.5860, loss: 5.5860 +2023-12-21 09:41:51,334 - pyskl - INFO - Epoch [59][300/1873] lr: 1.345e-01, eta: 16:59:44, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2891, top5_acc: 0.5524, loss_cls: 5.5898, loss: 5.5898 +2023-12-21 09:42:24,393 - pyskl - INFO - Epoch [59][400/1873] lr: 1.344e-01, eta: 16:59:04, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2888, top5_acc: 0.5509, loss_cls: 5.5889, loss: 5.5889 +2023-12-21 09:42:57,439 - pyskl - INFO - Epoch [59][500/1873] lr: 1.343e-01, eta: 16:58:25, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2935, top5_acc: 0.5538, loss_cls: 5.5868, loss: 5.5868 +2023-12-21 09:43:30,591 - pyskl - INFO - Epoch [59][600/1873] lr: 1.342e-01, eta: 16:57:45, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2895, top5_acc: 0.5400, loss_cls: 5.6205, loss: 5.6205 +2023-12-21 09:44:03,864 - pyskl - INFO - Epoch [59][700/1873] lr: 1.341e-01, eta: 16:57:06, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2916, top5_acc: 0.5446, loss_cls: 5.6101, loss: 5.6101 +2023-12-21 09:44:37,151 - pyskl - INFO - Epoch [59][800/1873] lr: 1.340e-01, eta: 16:56:27, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2928, top5_acc: 0.5445, loss_cls: 5.6030, loss: 5.6030 +2023-12-21 09:45:10,423 - pyskl - INFO - Epoch [59][900/1873] lr: 1.339e-01, eta: 16:55:48, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2913, top5_acc: 0.5437, loss_cls: 5.6161, loss: 5.6161 +2023-12-21 09:45:43,650 - pyskl - INFO - Epoch [59][1000/1873] lr: 1.338e-01, eta: 16:55:09, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2875, top5_acc: 0.5470, loss_cls: 5.6140, loss: 5.6140 +2023-12-21 09:46:16,859 - pyskl - INFO - Epoch [59][1100/1873] lr: 1.337e-01, eta: 16:54:29, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2809, top5_acc: 0.5332, loss_cls: 5.6483, loss: 5.6483 +2023-12-21 09:46:50,036 - pyskl - INFO - Epoch [59][1200/1873] lr: 1.336e-01, eta: 16:53:50, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2898, top5_acc: 0.5471, loss_cls: 5.5946, loss: 5.5946 +2023-12-21 09:47:23,179 - pyskl - INFO - Epoch [59][1300/1873] lr: 1.335e-01, eta: 16:53:11, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2910, top5_acc: 0.5427, loss_cls: 5.6030, loss: 5.6030 +2023-12-21 09:47:56,526 - pyskl - INFO - Epoch [59][1400/1873] lr: 1.334e-01, eta: 16:52:32, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2849, top5_acc: 0.5423, loss_cls: 5.6251, loss: 5.6251 +2023-12-21 09:48:29,689 - pyskl - INFO - Epoch [59][1500/1873] lr: 1.333e-01, eta: 16:51:53, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2866, top5_acc: 0.5423, loss_cls: 5.6319, loss: 5.6319 +2023-12-21 09:49:02,664 - pyskl - INFO - Epoch [59][1600/1873] lr: 1.332e-01, eta: 16:51:13, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2847, top5_acc: 0.5387, loss_cls: 5.6250, loss: 5.6250 +2023-12-21 09:49:35,758 - pyskl - INFO - Epoch [59][1700/1873] lr: 1.331e-01, eta: 16:50:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2855, top5_acc: 0.5407, loss_cls: 5.6255, loss: 5.6255 +2023-12-21 09:50:08,705 - pyskl - INFO - Epoch [59][1800/1873] lr: 1.330e-01, eta: 16:49:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2844, top5_acc: 0.5413, loss_cls: 5.6314, loss: 5.6314 +2023-12-21 09:50:36,967 - pyskl - INFO - Saving checkpoint at 59 epochs +2023-12-21 09:51:21,867 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 09:51:22,720 - pyskl - INFO - +top1_acc 0.2289 +top5_acc 0.4707 +2023-12-21 09:51:22,721 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 09:51:22,754 - pyskl - INFO - +mean_acc 0.2286 +2023-12-21 09:51:22,764 - pyskl - INFO - Epoch(val) [59][155] top1_acc: 0.2289, top5_acc: 0.4707, mean_class_accuracy: 0.2286 +2023-12-21 09:53:06,769 - pyskl - INFO - Epoch [60][100/1873] lr: 1.328e-01, eta: 16:49:58, time: 1.040, data_time: 0.708, memory: 8129, top1_acc: 0.2948, top5_acc: 0.5599, loss_cls: 5.5316, loss: 5.5316 +2023-12-21 09:53:39,751 - pyskl - INFO - Epoch [60][200/1873] lr: 1.327e-01, eta: 16:49:19, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2915, top5_acc: 0.5462, loss_cls: 5.5849, loss: 5.5849 +2023-12-21 09:54:12,758 - pyskl - INFO - Epoch [60][300/1873] lr: 1.326e-01, eta: 16:48:39, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2940, top5_acc: 0.5526, loss_cls: 5.5838, loss: 5.5838 +2023-12-21 09:54:45,918 - pyskl - INFO - Epoch [60][400/1873] lr: 1.325e-01, eta: 16:48:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2946, top5_acc: 0.5523, loss_cls: 5.5748, loss: 5.5748 +2023-12-21 09:55:19,259 - pyskl - INFO - Epoch [60][500/1873] lr: 1.324e-01, eta: 16:47:21, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2866, top5_acc: 0.5378, loss_cls: 5.6213, loss: 5.6213 +2023-12-21 09:55:52,410 - pyskl - INFO - Epoch [60][600/1873] lr: 1.323e-01, eta: 16:46:42, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2909, top5_acc: 0.5465, loss_cls: 5.6142, loss: 5.6142 +2023-12-21 09:56:25,607 - pyskl - INFO - Epoch [60][700/1873] lr: 1.321e-01, eta: 16:46:02, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2936, top5_acc: 0.5504, loss_cls: 5.5855, loss: 5.5855 +2023-12-21 09:56:58,670 - pyskl - INFO - Epoch [60][800/1873] lr: 1.320e-01, eta: 16:45:23, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2901, top5_acc: 0.5451, loss_cls: 5.6189, loss: 5.6189 +2023-12-21 09:57:31,778 - pyskl - INFO - Epoch [60][900/1873] lr: 1.319e-01, eta: 16:44:44, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2885, top5_acc: 0.5432, loss_cls: 5.6120, loss: 5.6120 +2023-12-21 09:58:04,914 - pyskl - INFO - Epoch [60][1000/1873] lr: 1.318e-01, eta: 16:44:05, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2885, top5_acc: 0.5496, loss_cls: 5.5895, loss: 5.5895 +2023-12-21 09:58:38,149 - pyskl - INFO - Epoch [60][1100/1873] lr: 1.317e-01, eta: 16:43:25, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2984, top5_acc: 0.5442, loss_cls: 5.6018, loss: 5.6018 +2023-12-21 09:59:11,537 - pyskl - INFO - Epoch [60][1200/1873] lr: 1.316e-01, eta: 16:42:47, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2938, top5_acc: 0.5480, loss_cls: 5.5785, loss: 5.5785 +2023-12-21 09:59:44,763 - pyskl - INFO - Epoch [60][1300/1873] lr: 1.315e-01, eta: 16:42:08, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2864, top5_acc: 0.5391, loss_cls: 5.6486, loss: 5.6486 +2023-12-21 10:00:17,947 - pyskl - INFO - Epoch [60][1400/1873] lr: 1.314e-01, eta: 16:41:28, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2889, top5_acc: 0.5523, loss_cls: 5.5829, loss: 5.5829 +2023-12-21 10:00:51,071 - pyskl - INFO - Epoch [60][1500/1873] lr: 1.313e-01, eta: 16:40:49, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2858, top5_acc: 0.5379, loss_cls: 5.6195, loss: 5.6195 +2023-12-21 10:01:24,347 - pyskl - INFO - Epoch [60][1600/1873] lr: 1.312e-01, eta: 16:40:10, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2930, top5_acc: 0.5498, loss_cls: 5.5810, loss: 5.5810 +2023-12-21 10:01:57,649 - pyskl - INFO - Epoch [60][1700/1873] lr: 1.311e-01, eta: 16:39:31, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2842, top5_acc: 0.5418, loss_cls: 5.6264, loss: 5.6264 +2023-12-21 10:02:30,643 - pyskl - INFO - Epoch [60][1800/1873] lr: 1.310e-01, eta: 16:38:52, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2904, top5_acc: 0.5491, loss_cls: 5.6069, loss: 5.6069 +2023-12-21 10:02:58,879 - pyskl - INFO - Saving checkpoint at 60 epochs +2023-12-21 10:03:43,742 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 10:03:44,485 - pyskl - INFO - +top1_acc 0.2242 +top5_acc 0.4657 +2023-12-21 10:03:44,485 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 10:03:44,521 - pyskl - INFO - +mean_acc 0.2242 +2023-12-21 10:03:44,532 - pyskl - INFO - Epoch(val) [60][155] top1_acc: 0.2242, top5_acc: 0.4657, mean_class_accuracy: 0.2242 +2023-12-21 10:05:40,416 - pyskl - INFO - Epoch [61][100/1873] lr: 1.308e-01, eta: 16:39:12, time: 1.159, data_time: 0.829, memory: 8129, top1_acc: 0.2959, top5_acc: 0.5579, loss_cls: 5.5357, loss: 5.5357 +2023-12-21 10:06:13,356 - pyskl - INFO - Epoch [61][200/1873] lr: 1.307e-01, eta: 16:38:32, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2906, top5_acc: 0.5514, loss_cls: 5.5553, loss: 5.5553 +2023-12-21 10:06:46,304 - pyskl - INFO - Epoch [61][300/1873] lr: 1.306e-01, eta: 16:37:53, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3015, top5_acc: 0.5501, loss_cls: 5.5736, loss: 5.5736 +2023-12-21 10:07:19,436 - pyskl - INFO - Epoch [61][400/1873] lr: 1.305e-01, eta: 16:37:14, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2845, top5_acc: 0.5457, loss_cls: 5.5950, loss: 5.5950 +2023-12-21 10:07:52,372 - pyskl - INFO - Epoch [61][500/1873] lr: 1.304e-01, eta: 16:36:34, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2821, top5_acc: 0.5390, loss_cls: 5.6102, loss: 5.6102 +2023-12-21 10:08:25,451 - pyskl - INFO - Epoch [61][600/1873] lr: 1.303e-01, eta: 16:35:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2894, top5_acc: 0.5439, loss_cls: 5.6054, loss: 5.6054 +2023-12-21 10:08:58,580 - pyskl - INFO - Epoch [61][700/1873] lr: 1.302e-01, eta: 16:35:16, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2924, top5_acc: 0.5473, loss_cls: 5.6031, loss: 5.6031 +2023-12-21 10:09:31,751 - pyskl - INFO - Epoch [61][800/1873] lr: 1.301e-01, eta: 16:34:37, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2840, top5_acc: 0.5387, loss_cls: 5.6434, loss: 5.6434 +2023-12-21 10:10:04,764 - pyskl - INFO - Epoch [61][900/1873] lr: 1.299e-01, eta: 16:33:57, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2909, top5_acc: 0.5461, loss_cls: 5.6006, loss: 5.6006 +2023-12-21 10:10:37,720 - pyskl - INFO - Epoch [61][1000/1873] lr: 1.298e-01, eta: 16:33:18, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2884, top5_acc: 0.5436, loss_cls: 5.6069, loss: 5.6069 +2023-12-21 10:11:10,617 - pyskl - INFO - Epoch [61][1100/1873] lr: 1.297e-01, eta: 16:32:38, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2971, top5_acc: 0.5566, loss_cls: 5.5549, loss: 5.5549 +2023-12-21 10:11:43,582 - pyskl - INFO - Epoch [61][1200/1873] lr: 1.296e-01, eta: 16:31:59, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2917, top5_acc: 0.5461, loss_cls: 5.6032, loss: 5.6032 +2023-12-21 10:12:16,492 - pyskl - INFO - Epoch [61][1300/1873] lr: 1.295e-01, eta: 16:31:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2839, top5_acc: 0.5433, loss_cls: 5.6047, loss: 5.6047 +2023-12-21 10:12:49,415 - pyskl - INFO - Epoch [61][1400/1873] lr: 1.294e-01, eta: 16:30:40, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2908, top5_acc: 0.5495, loss_cls: 5.5869, loss: 5.5869 +2023-12-21 10:13:22,530 - pyskl - INFO - Epoch [61][1500/1873] lr: 1.293e-01, eta: 16:30:01, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2941, top5_acc: 0.5502, loss_cls: 5.5877, loss: 5.5877 +2023-12-21 10:13:55,356 - pyskl - INFO - Epoch [61][1600/1873] lr: 1.292e-01, eta: 16:29:21, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2908, top5_acc: 0.5452, loss_cls: 5.6005, loss: 5.6005 +2023-12-21 10:14:28,190 - pyskl - INFO - Epoch [61][1700/1873] lr: 1.291e-01, eta: 16:28:42, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2973, top5_acc: 0.5525, loss_cls: 5.5759, loss: 5.5759 +2023-12-21 10:15:00,974 - pyskl - INFO - Epoch [61][1800/1873] lr: 1.290e-01, eta: 16:28:02, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2862, top5_acc: 0.5413, loss_cls: 5.6202, loss: 5.6202 +2023-12-21 10:15:28,491 - pyskl - INFO - Saving checkpoint at 61 epochs +2023-12-21 10:16:14,304 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 10:16:15,038 - pyskl - INFO - +top1_acc 0.2228 +top5_acc 0.4668 +2023-12-21 10:16:15,038 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 10:16:15,081 - pyskl - INFO - +mean_acc 0.2224 +2023-12-21 10:16:15,092 - pyskl - INFO - Epoch(val) [61][155] top1_acc: 0.2228, top5_acc: 0.4668, mean_class_accuracy: 0.2224 +2023-12-21 10:17:58,592 - pyskl - INFO - Epoch [62][100/1873] lr: 1.288e-01, eta: 16:28:02, time: 1.035, data_time: 0.681, memory: 8129, top1_acc: 0.3047, top5_acc: 0.5606, loss_cls: 5.5249, loss: 5.5249 +2023-12-21 10:18:31,633 - pyskl - INFO - Epoch [62][200/1873] lr: 1.287e-01, eta: 16:27:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2963, top5_acc: 0.5560, loss_cls: 5.5646, loss: 5.5646 +2023-12-21 10:19:04,868 - pyskl - INFO - Epoch [62][300/1873] lr: 1.286e-01, eta: 16:26:44, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3013, top5_acc: 0.5548, loss_cls: 5.5579, loss: 5.5579 +2023-12-21 10:19:37,993 - pyskl - INFO - Epoch [62][400/1873] lr: 1.285e-01, eta: 16:26:04, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2938, top5_acc: 0.5507, loss_cls: 5.5801, loss: 5.5801 +2023-12-21 10:20:11,208 - pyskl - INFO - Epoch [62][500/1873] lr: 1.284e-01, eta: 16:25:25, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2888, top5_acc: 0.5479, loss_cls: 5.5914, loss: 5.5914 +2023-12-21 10:20:44,337 - pyskl - INFO - Epoch [62][600/1873] lr: 1.283e-01, eta: 16:24:46, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2965, top5_acc: 0.5502, loss_cls: 5.5714, loss: 5.5714 +2023-12-21 10:21:17,536 - pyskl - INFO - Epoch [62][700/1873] lr: 1.282e-01, eta: 16:24:07, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2943, top5_acc: 0.5482, loss_cls: 5.5923, loss: 5.5923 +2023-12-21 10:21:50,815 - pyskl - INFO - Epoch [62][800/1873] lr: 1.280e-01, eta: 16:23:28, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2951, top5_acc: 0.5528, loss_cls: 5.5603, loss: 5.5603 +2023-12-21 10:22:24,046 - pyskl - INFO - Epoch [62][900/1873] lr: 1.279e-01, eta: 16:22:49, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2853, top5_acc: 0.5394, loss_cls: 5.6322, loss: 5.6322 +2023-12-21 10:22:57,367 - pyskl - INFO - Epoch [62][1000/1873] lr: 1.278e-01, eta: 16:22:11, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2921, top5_acc: 0.5505, loss_cls: 5.5741, loss: 5.5741 +2023-12-21 10:23:30,547 - pyskl - INFO - Epoch [62][1100/1873] lr: 1.277e-01, eta: 16:21:32, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2912, top5_acc: 0.5508, loss_cls: 5.5797, loss: 5.5797 +2023-12-21 10:24:03,906 - pyskl - INFO - Epoch [62][1200/1873] lr: 1.276e-01, eta: 16:20:53, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2902, top5_acc: 0.5505, loss_cls: 5.5873, loss: 5.5873 +2023-12-21 10:24:37,115 - pyskl - INFO - Epoch [62][1300/1873] lr: 1.275e-01, eta: 16:20:14, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2919, top5_acc: 0.5447, loss_cls: 5.5934, loss: 5.5934 +2023-12-21 10:25:10,377 - pyskl - INFO - Epoch [62][1400/1873] lr: 1.274e-01, eta: 16:19:35, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3010, top5_acc: 0.5637, loss_cls: 5.5238, loss: 5.5238 +2023-12-21 10:25:43,560 - pyskl - INFO - Epoch [62][1500/1873] lr: 1.273e-01, eta: 16:18:56, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2884, top5_acc: 0.5456, loss_cls: 5.6236, loss: 5.6236 +2023-12-21 10:26:16,741 - pyskl - INFO - Epoch [62][1600/1873] lr: 1.272e-01, eta: 16:18:17, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2926, top5_acc: 0.5501, loss_cls: 5.5818, loss: 5.5818 +2023-12-21 10:26:49,792 - pyskl - INFO - Epoch [62][1700/1873] lr: 1.271e-01, eta: 16:17:38, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2899, top5_acc: 0.5395, loss_cls: 5.6222, loss: 5.6222 +2023-12-21 10:27:22,574 - pyskl - INFO - Epoch [62][1800/1873] lr: 1.270e-01, eta: 16:16:59, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2995, top5_acc: 0.5535, loss_cls: 5.5721, loss: 5.5721 +2023-12-21 10:27:50,585 - pyskl - INFO - Saving checkpoint at 62 epochs +2023-12-21 10:28:37,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 10:28:38,554 - pyskl - INFO - +top1_acc 0.2220 +top5_acc 0.4594 +2023-12-21 10:28:38,555 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 10:28:38,592 - pyskl - INFO - +mean_acc 0.2218 +2023-12-21 10:28:38,603 - pyskl - INFO - Epoch(val) [62][155] top1_acc: 0.2220, top5_acc: 0.4594, mean_class_accuracy: 0.2218 +2023-12-21 10:30:24,255 - pyskl - INFO - Epoch [63][100/1873] lr: 1.268e-01, eta: 16:17:00, time: 1.056, data_time: 0.675, memory: 8129, top1_acc: 0.2970, top5_acc: 0.5552, loss_cls: 5.5600, loss: 5.5600 +2023-12-21 10:30:57,197 - pyskl - INFO - Epoch [63][200/1873] lr: 1.267e-01, eta: 16:16:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3005, top5_acc: 0.5560, loss_cls: 5.5333, loss: 5.5333 +2023-12-21 10:31:30,194 - pyskl - INFO - Epoch [63][300/1873] lr: 1.266e-01, eta: 16:15:41, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2969, top5_acc: 0.5535, loss_cls: 5.5574, loss: 5.5574 +2023-12-21 10:32:03,233 - pyskl - INFO - Epoch [63][400/1873] lr: 1.265e-01, eta: 16:15:02, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2945, top5_acc: 0.5509, loss_cls: 5.5744, loss: 5.5744 +2023-12-21 10:32:36,498 - pyskl - INFO - Epoch [63][500/1873] lr: 1.264e-01, eta: 16:14:23, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2902, top5_acc: 0.5479, loss_cls: 5.5988, loss: 5.5988 +2023-12-21 10:33:09,551 - pyskl - INFO - Epoch [63][600/1873] lr: 1.262e-01, eta: 16:13:44, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2984, top5_acc: 0.5548, loss_cls: 5.5604, loss: 5.5604 +2023-12-21 10:33:42,575 - pyskl - INFO - Epoch [63][700/1873] lr: 1.261e-01, eta: 16:13:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2934, top5_acc: 0.5497, loss_cls: 5.5762, loss: 5.5762 +2023-12-21 10:34:15,726 - pyskl - INFO - Epoch [63][800/1873] lr: 1.260e-01, eta: 16:12:26, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2983, top5_acc: 0.5499, loss_cls: 5.5577, loss: 5.5577 +2023-12-21 10:34:48,795 - pyskl - INFO - Epoch [63][900/1873] lr: 1.259e-01, eta: 16:11:47, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2921, top5_acc: 0.5492, loss_cls: 5.5690, loss: 5.5690 +2023-12-21 10:35:22,000 - pyskl - INFO - Epoch [63][1000/1873] lr: 1.258e-01, eta: 16:11:08, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2940, top5_acc: 0.5469, loss_cls: 5.5865, loss: 5.5865 +2023-12-21 10:35:55,143 - pyskl - INFO - Epoch [63][1100/1873] lr: 1.257e-01, eta: 16:10:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2897, top5_acc: 0.5471, loss_cls: 5.5926, loss: 5.5926 +2023-12-21 10:36:28,255 - pyskl - INFO - Epoch [63][1200/1873] lr: 1.256e-01, eta: 16:09:50, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2928, top5_acc: 0.5517, loss_cls: 5.5895, loss: 5.5895 +2023-12-21 10:37:01,593 - pyskl - INFO - Epoch [63][1300/1873] lr: 1.255e-01, eta: 16:09:11, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2909, top5_acc: 0.5548, loss_cls: 5.5982, loss: 5.5982 +2023-12-21 10:37:34,822 - pyskl - INFO - Epoch [63][1400/1873] lr: 1.254e-01, eta: 16:08:32, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2852, top5_acc: 0.5441, loss_cls: 5.6014, loss: 5.6014 +2023-12-21 10:38:08,143 - pyskl - INFO - Epoch [63][1500/1873] lr: 1.253e-01, eta: 16:07:54, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3017, top5_acc: 0.5562, loss_cls: 5.5479, loss: 5.5479 +2023-12-21 10:38:41,183 - pyskl - INFO - Epoch [63][1600/1873] lr: 1.252e-01, eta: 16:07:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2913, top5_acc: 0.5470, loss_cls: 5.5860, loss: 5.5860 +2023-12-21 10:39:14,328 - pyskl - INFO - Epoch [63][1700/1873] lr: 1.251e-01, eta: 16:06:36, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2928, top5_acc: 0.5498, loss_cls: 5.5888, loss: 5.5888 +2023-12-21 10:39:47,318 - pyskl - INFO - Epoch [63][1800/1873] lr: 1.249e-01, eta: 16:05:57, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2923, top5_acc: 0.5489, loss_cls: 5.5893, loss: 5.5893 +2023-12-21 10:40:14,992 - pyskl - INFO - Saving checkpoint at 63 epochs +2023-12-21 10:41:00,940 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 10:41:01,950 - pyskl - INFO - +top1_acc 0.2245 +top5_acc 0.4573 +2023-12-21 10:41:01,950 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 10:41:01,990 - pyskl - INFO - +mean_acc 0.2242 +2023-12-21 10:41:02,006 - pyskl - INFO - Epoch(val) [63][155] top1_acc: 0.2245, top5_acc: 0.4573, mean_class_accuracy: 0.2242 +2023-12-21 10:42:46,273 - pyskl - INFO - Epoch [64][100/1873] lr: 1.248e-01, eta: 16:05:54, time: 1.042, data_time: 0.696, memory: 8129, top1_acc: 0.3019, top5_acc: 0.5654, loss_cls: 5.5012, loss: 5.5012 +2023-12-21 10:43:18,952 - pyskl - INFO - Epoch [64][200/1873] lr: 1.247e-01, eta: 16:05:15, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.2952, top5_acc: 0.5570, loss_cls: 5.5339, loss: 5.5339 +2023-12-21 10:43:51,884 - pyskl - INFO - Epoch [64][300/1873] lr: 1.245e-01, eta: 16:04:35, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3005, top5_acc: 0.5578, loss_cls: 5.5385, loss: 5.5385 +2023-12-21 10:44:24,822 - pyskl - INFO - Epoch [64][400/1873] lr: 1.244e-01, eta: 16:03:56, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3002, top5_acc: 0.5535, loss_cls: 5.5530, loss: 5.5530 +2023-12-21 10:44:57,809 - pyskl - INFO - Epoch [64][500/1873] lr: 1.243e-01, eta: 16:03:17, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2961, top5_acc: 0.5555, loss_cls: 5.5576, loss: 5.5576 +2023-12-21 10:45:30,724 - pyskl - INFO - Epoch [64][600/1873] lr: 1.242e-01, eta: 16:02:38, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3000, top5_acc: 0.5531, loss_cls: 5.5553, loss: 5.5553 +2023-12-21 10:46:03,626 - pyskl - INFO - Epoch [64][700/1873] lr: 1.241e-01, eta: 16:01:59, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2979, top5_acc: 0.5465, loss_cls: 5.5906, loss: 5.5906 +2023-12-21 10:46:36,692 - pyskl - INFO - Epoch [64][800/1873] lr: 1.240e-01, eta: 16:01:20, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2945, top5_acc: 0.5466, loss_cls: 5.5878, loss: 5.5878 +2023-12-21 10:47:09,678 - pyskl - INFO - Epoch [64][900/1873] lr: 1.239e-01, eta: 16:00:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2960, top5_acc: 0.5502, loss_cls: 5.5678, loss: 5.5678 +2023-12-21 10:47:42,718 - pyskl - INFO - Epoch [64][1000/1873] lr: 1.238e-01, eta: 16:00:01, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2930, top5_acc: 0.5550, loss_cls: 5.5840, loss: 5.5840 +2023-12-21 10:48:15,681 - pyskl - INFO - Epoch [64][1100/1873] lr: 1.237e-01, eta: 15:59:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2950, top5_acc: 0.5569, loss_cls: 5.5518, loss: 5.5518 +2023-12-21 10:48:48,812 - pyskl - INFO - Epoch [64][1200/1873] lr: 1.236e-01, eta: 15:58:43, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2957, top5_acc: 0.5534, loss_cls: 5.5591, loss: 5.5591 +2023-12-21 10:49:21,987 - pyskl - INFO - Epoch [64][1300/1873] lr: 1.235e-01, eta: 15:58:05, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2895, top5_acc: 0.5456, loss_cls: 5.5982, loss: 5.5982 +2023-12-21 10:49:54,912 - pyskl - INFO - Epoch [64][1400/1873] lr: 1.234e-01, eta: 15:57:26, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2892, top5_acc: 0.5469, loss_cls: 5.6101, loss: 5.6101 +2023-12-21 10:50:27,929 - pyskl - INFO - Epoch [64][1500/1873] lr: 1.232e-01, eta: 15:56:47, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2965, top5_acc: 0.5545, loss_cls: 5.5581, loss: 5.5581 +2023-12-21 10:51:01,059 - pyskl - INFO - Epoch [64][1600/1873] lr: 1.231e-01, eta: 15:56:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3018, top5_acc: 0.5533, loss_cls: 5.5503, loss: 5.5503 +2023-12-21 10:51:34,092 - pyskl - INFO - Epoch [64][1700/1873] lr: 1.230e-01, eta: 15:55:29, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2929, top5_acc: 0.5529, loss_cls: 5.5643, loss: 5.5643 +2023-12-21 10:52:06,634 - pyskl - INFO - Epoch [64][1800/1873] lr: 1.229e-01, eta: 15:54:49, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.2970, top5_acc: 0.5510, loss_cls: 5.5844, loss: 5.5844 +2023-12-21 10:52:34,190 - pyskl - INFO - Saving checkpoint at 64 epochs +2023-12-21 10:53:20,570 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 10:53:21,613 - pyskl - INFO - +top1_acc 0.2309 +top5_acc 0.4692 +2023-12-21 10:53:21,613 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 10:53:21,661 - pyskl - INFO - +mean_acc 0.2306 +2023-12-21 10:53:21,672 - pyskl - INFO - Epoch(val) [64][155] top1_acc: 0.2309, top5_acc: 0.4692, mean_class_accuracy: 0.2306 +2023-12-21 10:55:05,214 - pyskl - INFO - Epoch [65][100/1873] lr: 1.227e-01, eta: 15:54:44, time: 1.035, data_time: 0.686, memory: 8129, top1_acc: 0.2991, top5_acc: 0.5634, loss_cls: 5.5270, loss: 5.5270 +2023-12-21 10:55:38,056 - pyskl - INFO - Epoch [65][200/1873] lr: 1.226e-01, eta: 15:54:05, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.2963, top5_acc: 0.5591, loss_cls: 5.5433, loss: 5.5433 +2023-12-21 10:56:11,124 - pyskl - INFO - Epoch [65][300/1873] lr: 1.225e-01, eta: 15:53:26, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3030, top5_acc: 0.5580, loss_cls: 5.5386, loss: 5.5386 +2023-12-21 10:56:44,230 - pyskl - INFO - Epoch [65][400/1873] lr: 1.224e-01, eta: 15:52:47, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2965, top5_acc: 0.5553, loss_cls: 5.5574, loss: 5.5574 +2023-12-21 10:57:17,477 - pyskl - INFO - Epoch [65][500/1873] lr: 1.223e-01, eta: 15:52:08, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3020, top5_acc: 0.5608, loss_cls: 5.5282, loss: 5.5282 +2023-12-21 10:57:50,656 - pyskl - INFO - Epoch [65][600/1873] lr: 1.222e-01, eta: 15:51:29, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3049, top5_acc: 0.5601, loss_cls: 5.5274, loss: 5.5274 +2023-12-21 10:58:23,795 - pyskl - INFO - Epoch [65][700/1873] lr: 1.221e-01, eta: 15:50:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2986, top5_acc: 0.5605, loss_cls: 5.5316, loss: 5.5316 +2023-12-21 10:58:56,989 - pyskl - INFO - Epoch [65][800/1873] lr: 1.220e-01, eta: 15:50:12, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2960, top5_acc: 0.5501, loss_cls: 5.5572, loss: 5.5572 +2023-12-21 10:59:30,018 - pyskl - INFO - Epoch [65][900/1873] lr: 1.219e-01, eta: 15:49:33, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2963, top5_acc: 0.5547, loss_cls: 5.5632, loss: 5.5632 +2023-12-21 11:00:03,322 - pyskl - INFO - Epoch [65][1000/1873] lr: 1.217e-01, eta: 15:48:54, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2987, top5_acc: 0.5580, loss_cls: 5.5507, loss: 5.5507 +2023-12-21 11:00:36,274 - pyskl - INFO - Epoch [65][1100/1873] lr: 1.216e-01, eta: 15:48:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2957, top5_acc: 0.5576, loss_cls: 5.5399, loss: 5.5399 +2023-12-21 11:01:09,471 - pyskl - INFO - Epoch [65][1200/1873] lr: 1.215e-01, eta: 15:47:37, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3000, top5_acc: 0.5588, loss_cls: 5.5503, loss: 5.5503 +2023-12-21 11:01:42,528 - pyskl - INFO - Epoch [65][1300/1873] lr: 1.214e-01, eta: 15:46:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2950, top5_acc: 0.5463, loss_cls: 5.5987, loss: 5.5987 +2023-12-21 11:02:15,583 - pyskl - INFO - Epoch [65][1400/1873] lr: 1.213e-01, eta: 15:46:19, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2940, top5_acc: 0.5558, loss_cls: 5.5633, loss: 5.5633 +2023-12-21 11:02:48,598 - pyskl - INFO - Epoch [65][1500/1873] lr: 1.212e-01, eta: 15:45:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.2906, top5_acc: 0.5547, loss_cls: 5.5760, loss: 5.5760 +2023-12-21 11:03:21,726 - pyskl - INFO - Epoch [65][1600/1873] lr: 1.211e-01, eta: 15:45:01, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2930, top5_acc: 0.5487, loss_cls: 5.5860, loss: 5.5860 +2023-12-21 11:03:54,974 - pyskl - INFO - Epoch [65][1700/1873] lr: 1.210e-01, eta: 15:44:23, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2889, top5_acc: 0.5490, loss_cls: 5.5659, loss: 5.5659 +2023-12-21 11:04:27,579 - pyskl - INFO - Epoch [65][1800/1873] lr: 1.209e-01, eta: 15:43:43, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.2997, top5_acc: 0.5514, loss_cls: 5.5614, loss: 5.5614 +2023-12-21 11:04:55,546 - pyskl - INFO - Saving checkpoint at 65 epochs +2023-12-21 11:05:40,966 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 11:05:42,035 - pyskl - INFO - +top1_acc 0.2135 +top5_acc 0.4551 +2023-12-21 11:05:42,035 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 11:05:42,085 - pyskl - INFO - +mean_acc 0.2133 +2023-12-21 11:05:42,097 - pyskl - INFO - Epoch(val) [65][155] top1_acc: 0.2135, top5_acc: 0.4551, mean_class_accuracy: 0.2133 +2023-12-21 11:07:24,776 - pyskl - INFO - Epoch [66][100/1873] lr: 1.207e-01, eta: 15:43:36, time: 1.027, data_time: 0.681, memory: 8129, top1_acc: 0.3075, top5_acc: 0.5663, loss_cls: 5.4884, loss: 5.4884 +2023-12-21 11:07:57,969 - pyskl - INFO - Epoch [66][200/1873] lr: 1.206e-01, eta: 15:42:57, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3013, top5_acc: 0.5577, loss_cls: 5.5464, loss: 5.5464 +2023-12-21 11:08:31,093 - pyskl - INFO - Epoch [66][300/1873] lr: 1.205e-01, eta: 15:42:18, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3053, top5_acc: 0.5602, loss_cls: 5.5063, loss: 5.5063 +2023-12-21 11:09:04,298 - pyskl - INFO - Epoch [66][400/1873] lr: 1.204e-01, eta: 15:41:39, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3090, top5_acc: 0.5656, loss_cls: 5.5074, loss: 5.5074 +2023-12-21 11:09:37,599 - pyskl - INFO - Epoch [66][500/1873] lr: 1.202e-01, eta: 15:41:01, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2947, top5_acc: 0.5584, loss_cls: 5.5572, loss: 5.5572 +2023-12-21 11:10:10,876 - pyskl - INFO - Epoch [66][600/1873] lr: 1.201e-01, eta: 15:40:22, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3004, top5_acc: 0.5566, loss_cls: 5.5483, loss: 5.5483 +2023-12-21 11:10:44,159 - pyskl - INFO - Epoch [66][700/1873] lr: 1.200e-01, eta: 15:39:44, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2965, top5_acc: 0.5519, loss_cls: 5.5702, loss: 5.5702 +2023-12-21 11:11:17,362 - pyskl - INFO - Epoch [66][800/1873] lr: 1.199e-01, eta: 15:39:05, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3015, top5_acc: 0.5591, loss_cls: 5.5410, loss: 5.5410 +2023-12-21 11:11:50,613 - pyskl - INFO - Epoch [66][900/1873] lr: 1.198e-01, eta: 15:38:27, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3001, top5_acc: 0.5584, loss_cls: 5.5386, loss: 5.5386 +2023-12-21 11:12:23,857 - pyskl - INFO - Epoch [66][1000/1873] lr: 1.197e-01, eta: 15:37:48, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2948, top5_acc: 0.5584, loss_cls: 5.5489, loss: 5.5489 +2023-12-21 11:12:57,010 - pyskl - INFO - Epoch [66][1100/1873] lr: 1.196e-01, eta: 15:37:09, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3000, top5_acc: 0.5585, loss_cls: 5.5431, loss: 5.5431 +2023-12-21 11:13:30,217 - pyskl - INFO - Epoch [66][1200/1873] lr: 1.195e-01, eta: 15:36:31, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2933, top5_acc: 0.5530, loss_cls: 5.5755, loss: 5.5755 +2023-12-21 11:14:03,698 - pyskl - INFO - Epoch [66][1300/1873] lr: 1.194e-01, eta: 15:35:52, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.3002, top5_acc: 0.5544, loss_cls: 5.5636, loss: 5.5636 +2023-12-21 11:14:37,094 - pyskl - INFO - Epoch [66][1400/1873] lr: 1.193e-01, eta: 15:35:14, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3030, top5_acc: 0.5598, loss_cls: 5.5464, loss: 5.5464 +2023-12-21 11:15:10,384 - pyskl - INFO - Epoch [66][1500/1873] lr: 1.191e-01, eta: 15:34:36, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2943, top5_acc: 0.5505, loss_cls: 5.5659, loss: 5.5659 +2023-12-21 11:15:43,738 - pyskl - INFO - Epoch [66][1600/1873] lr: 1.190e-01, eta: 15:33:57, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2926, top5_acc: 0.5532, loss_cls: 5.5598, loss: 5.5598 +2023-12-21 11:16:17,113 - pyskl - INFO - Epoch [66][1700/1873] lr: 1.189e-01, eta: 15:33:19, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.2966, top5_acc: 0.5536, loss_cls: 5.5546, loss: 5.5546 +2023-12-21 11:16:50,048 - pyskl - INFO - Epoch [66][1800/1873] lr: 1.188e-01, eta: 15:32:40, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2998, top5_acc: 0.5537, loss_cls: 5.5593, loss: 5.5593 +2023-12-21 11:17:17,080 - pyskl - INFO - Saving checkpoint at 66 epochs +2023-12-21 11:18:04,184 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 11:18:05,241 - pyskl - INFO - +top1_acc 0.2084 +top5_acc 0.4496 +2023-12-21 11:18:05,242 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 11:18:05,283 - pyskl - INFO - +mean_acc 0.2081 +2023-12-21 11:18:05,294 - pyskl - INFO - Epoch(val) [66][155] top1_acc: 0.2084, top5_acc: 0.4496, mean_class_accuracy: 0.2081 +2023-12-21 11:19:52,772 - pyskl - INFO - Epoch [67][100/1873] lr: 1.186e-01, eta: 15:32:37, time: 1.075, data_time: 0.697, memory: 8129, top1_acc: 0.3104, top5_acc: 0.5668, loss_cls: 5.4955, loss: 5.4955 +2023-12-21 11:20:26,089 - pyskl - INFO - Epoch [67][200/1873] lr: 1.185e-01, eta: 15:31:59, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3008, top5_acc: 0.5667, loss_cls: 5.5116, loss: 5.5116 +2023-12-21 11:20:59,602 - pyskl - INFO - Epoch [67][300/1873] lr: 1.184e-01, eta: 15:31:20, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.3023, top5_acc: 0.5602, loss_cls: 5.5134, loss: 5.5134 +2023-12-21 11:21:32,878 - pyskl - INFO - Epoch [67][400/1873] lr: 1.183e-01, eta: 15:30:42, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3027, top5_acc: 0.5633, loss_cls: 5.4926, loss: 5.4926 +2023-12-21 11:22:06,170 - pyskl - INFO - Epoch [67][500/1873] lr: 1.182e-01, eta: 15:30:03, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3012, top5_acc: 0.5632, loss_cls: 5.5346, loss: 5.5346 +2023-12-21 11:22:39,274 - pyskl - INFO - Epoch [67][600/1873] lr: 1.181e-01, eta: 15:29:25, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3024, top5_acc: 0.5630, loss_cls: 5.5314, loss: 5.5314 +2023-12-21 11:23:12,617 - pyskl - INFO - Epoch [67][700/1873] lr: 1.180e-01, eta: 15:28:46, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2932, top5_acc: 0.5496, loss_cls: 5.5658, loss: 5.5658 +2023-12-21 11:23:45,987 - pyskl - INFO - Epoch [67][800/1873] lr: 1.179e-01, eta: 15:28:08, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3083, top5_acc: 0.5592, loss_cls: 5.5179, loss: 5.5179 +2023-12-21 11:24:19,210 - pyskl - INFO - Epoch [67][900/1873] lr: 1.177e-01, eta: 15:27:29, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3011, top5_acc: 0.5615, loss_cls: 5.5375, loss: 5.5375 +2023-12-21 11:24:52,386 - pyskl - INFO - Epoch [67][1000/1873] lr: 1.176e-01, eta: 15:26:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2985, top5_acc: 0.5612, loss_cls: 5.5419, loss: 5.5419 +2023-12-21 11:25:25,644 - pyskl - INFO - Epoch [67][1100/1873] lr: 1.175e-01, eta: 15:26:12, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3018, top5_acc: 0.5657, loss_cls: 5.5067, loss: 5.5067 +2023-12-21 11:25:58,863 - pyskl - INFO - Epoch [67][1200/1873] lr: 1.174e-01, eta: 15:25:34, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3027, top5_acc: 0.5604, loss_cls: 5.5329, loss: 5.5329 +2023-12-21 11:26:32,018 - pyskl - INFO - Epoch [67][1300/1873] lr: 1.173e-01, eta: 15:24:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3029, top5_acc: 0.5587, loss_cls: 5.5329, loss: 5.5329 +2023-12-21 11:27:05,344 - pyskl - INFO - Epoch [67][1400/1873] lr: 1.172e-01, eta: 15:24:17, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2946, top5_acc: 0.5569, loss_cls: 5.5525, loss: 5.5525 +2023-12-21 11:27:38,877 - pyskl - INFO - Epoch [67][1500/1873] lr: 1.171e-01, eta: 15:23:39, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.2945, top5_acc: 0.5606, loss_cls: 5.5555, loss: 5.5555 +2023-12-21 11:28:12,011 - pyskl - INFO - Epoch [67][1600/1873] lr: 1.170e-01, eta: 15:23:00, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2925, top5_acc: 0.5522, loss_cls: 5.5637, loss: 5.5637 +2023-12-21 11:28:45,243 - pyskl - INFO - Epoch [67][1700/1873] lr: 1.169e-01, eta: 15:22:22, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3026, top5_acc: 0.5673, loss_cls: 5.5232, loss: 5.5232 +2023-12-21 11:29:18,390 - pyskl - INFO - Epoch [67][1800/1873] lr: 1.168e-01, eta: 15:21:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2963, top5_acc: 0.5601, loss_cls: 5.5351, loss: 5.5351 +2023-12-21 11:29:45,544 - pyskl - INFO - Saving checkpoint at 67 epochs +2023-12-21 11:30:31,660 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 11:30:32,708 - pyskl - INFO - +top1_acc 0.2192 +top5_acc 0.4543 +2023-12-21 11:30:32,709 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 11:30:32,751 - pyskl - INFO - +mean_acc 0.2193 +2023-12-21 11:30:32,763 - pyskl - INFO - Epoch(val) [67][155] top1_acc: 0.2192, top5_acc: 0.4543, mean_class_accuracy: 0.2193 +2023-12-21 11:32:16,341 - pyskl - INFO - Epoch [68][100/1873] lr: 1.166e-01, eta: 15:21:34, time: 1.036, data_time: 0.686, memory: 8129, top1_acc: 0.3121, top5_acc: 0.5692, loss_cls: 5.4805, loss: 5.4805 +2023-12-21 11:32:49,280 - pyskl - INFO - Epoch [68][200/1873] lr: 1.165e-01, eta: 15:20:55, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3113, top5_acc: 0.5677, loss_cls: 5.5046, loss: 5.5046 +2023-12-21 11:33:22,494 - pyskl - INFO - Epoch [68][300/1873] lr: 1.163e-01, eta: 15:20:16, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3027, top5_acc: 0.5672, loss_cls: 5.4915, loss: 5.4915 +2023-12-21 11:33:55,709 - pyskl - INFO - Epoch [68][400/1873] lr: 1.162e-01, eta: 15:19:38, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3055, top5_acc: 0.5650, loss_cls: 5.5177, loss: 5.5177 +2023-12-21 11:34:29,050 - pyskl - INFO - Epoch [68][500/1873] lr: 1.161e-01, eta: 15:18:59, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3047, top5_acc: 0.5650, loss_cls: 5.5034, loss: 5.5034 +2023-12-21 11:35:02,241 - pyskl - INFO - Epoch [68][600/1873] lr: 1.160e-01, eta: 15:18:21, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3052, top5_acc: 0.5601, loss_cls: 5.5449, loss: 5.5449 +2023-12-21 11:35:35,529 - pyskl - INFO - Epoch [68][700/1873] lr: 1.159e-01, eta: 15:17:42, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3088, top5_acc: 0.5667, loss_cls: 5.4828, loss: 5.4828 +2023-12-21 11:36:08,846 - pyskl - INFO - Epoch [68][800/1873] lr: 1.158e-01, eta: 15:17:04, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2970, top5_acc: 0.5596, loss_cls: 5.5464, loss: 5.5464 +2023-12-21 11:36:42,047 - pyskl - INFO - Epoch [68][900/1873] lr: 1.157e-01, eta: 15:16:26, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3045, top5_acc: 0.5620, loss_cls: 5.5130, loss: 5.5130 +2023-12-21 11:37:15,072 - pyskl - INFO - Epoch [68][1000/1873] lr: 1.156e-01, eta: 15:15:47, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3013, top5_acc: 0.5609, loss_cls: 5.5379, loss: 5.5379 +2023-12-21 11:37:48,011 - pyskl - INFO - Epoch [68][1100/1873] lr: 1.155e-01, eta: 15:15:08, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2967, top5_acc: 0.5548, loss_cls: 5.5497, loss: 5.5497 +2023-12-21 11:38:21,020 - pyskl - INFO - Epoch [68][1200/1873] lr: 1.154e-01, eta: 15:14:29, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3070, top5_acc: 0.5644, loss_cls: 5.5261, loss: 5.5261 +2023-12-21 11:38:54,159 - pyskl - INFO - Epoch [68][1300/1873] lr: 1.152e-01, eta: 15:13:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3030, top5_acc: 0.5602, loss_cls: 5.5062, loss: 5.5062 +2023-12-21 11:39:27,104 - pyskl - INFO - Epoch [68][1400/1873] lr: 1.151e-01, eta: 15:13:12, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.2998, top5_acc: 0.5589, loss_cls: 5.5445, loss: 5.5445 +2023-12-21 11:40:00,157 - pyskl - INFO - Epoch [68][1500/1873] lr: 1.150e-01, eta: 15:12:33, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3018, top5_acc: 0.5572, loss_cls: 5.5397, loss: 5.5397 +2023-12-21 11:40:33,248 - pyskl - INFO - Epoch [68][1600/1873] lr: 1.149e-01, eta: 15:11:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3028, top5_acc: 0.5609, loss_cls: 5.5063, loss: 5.5063 +2023-12-21 11:41:06,425 - pyskl - INFO - Epoch [68][1700/1873] lr: 1.148e-01, eta: 15:11:17, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2964, top5_acc: 0.5566, loss_cls: 5.5626, loss: 5.5626 +2023-12-21 11:41:39,135 - pyskl - INFO - Epoch [68][1800/1873] lr: 1.147e-01, eta: 15:10:38, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3135, top5_acc: 0.5648, loss_cls: 5.4840, loss: 5.4840 +2023-12-21 11:42:06,480 - pyskl - INFO - Saving checkpoint at 68 epochs +2023-12-21 11:42:51,955 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 11:42:52,705 - pyskl - INFO - +top1_acc 0.2279 +top5_acc 0.4627 +2023-12-21 11:42:52,705 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 11:42:52,744 - pyskl - INFO - +mean_acc 0.2278 +2023-12-21 11:42:52,755 - pyskl - INFO - Epoch(val) [68][155] top1_acc: 0.2279, top5_acc: 0.4627, mean_class_accuracy: 0.2278 +2023-12-21 11:44:34,468 - pyskl - INFO - Epoch [69][100/1873] lr: 1.145e-01, eta: 15:10:24, time: 1.017, data_time: 0.687, memory: 8129, top1_acc: 0.3106, top5_acc: 0.5740, loss_cls: 5.4511, loss: 5.4511 +2023-12-21 11:45:07,408 - pyskl - INFO - Epoch [69][200/1873] lr: 1.144e-01, eta: 15:09:46, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3028, top5_acc: 0.5600, loss_cls: 5.5238, loss: 5.5238 +2023-12-21 11:45:40,261 - pyskl - INFO - Epoch [69][300/1873] lr: 1.143e-01, eta: 15:09:07, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3026, top5_acc: 0.5647, loss_cls: 5.5121, loss: 5.5121 +2023-12-21 11:46:13,104 - pyskl - INFO - Epoch [69][400/1873] lr: 1.142e-01, eta: 15:08:28, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3052, top5_acc: 0.5670, loss_cls: 5.4930, loss: 5.4930 +2023-12-21 11:46:46,152 - pyskl - INFO - Epoch [69][500/1873] lr: 1.141e-01, eta: 15:07:49, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3093, top5_acc: 0.5684, loss_cls: 5.4882, loss: 5.4882 +2023-12-21 11:47:18,882 - pyskl - INFO - Epoch [69][600/1873] lr: 1.139e-01, eta: 15:07:10, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3021, top5_acc: 0.5602, loss_cls: 5.5185, loss: 5.5185 +2023-12-21 11:47:51,849 - pyskl - INFO - Epoch [69][700/1873] lr: 1.138e-01, eta: 15:06:32, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3030, top5_acc: 0.5613, loss_cls: 5.5309, loss: 5.5309 +2023-12-21 11:48:24,792 - pyskl - INFO - Epoch [69][800/1873] lr: 1.137e-01, eta: 15:05:53, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3077, top5_acc: 0.5681, loss_cls: 5.4691, loss: 5.4691 +2023-12-21 11:48:57,858 - pyskl - INFO - Epoch [69][900/1873] lr: 1.136e-01, eta: 15:05:14, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3036, top5_acc: 0.5527, loss_cls: 5.5472, loss: 5.5472 +2023-12-21 11:49:30,877 - pyskl - INFO - Epoch [69][1000/1873] lr: 1.135e-01, eta: 15:04:36, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3041, top5_acc: 0.5655, loss_cls: 5.5016, loss: 5.5016 +2023-12-21 11:50:03,950 - pyskl - INFO - Epoch [69][1100/1873] lr: 1.134e-01, eta: 15:03:57, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3027, top5_acc: 0.5584, loss_cls: 5.5248, loss: 5.5248 +2023-12-21 11:50:36,863 - pyskl - INFO - Epoch [69][1200/1873] lr: 1.133e-01, eta: 15:03:18, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3083, top5_acc: 0.5624, loss_cls: 5.5066, loss: 5.5066 +2023-12-21 11:51:09,733 - pyskl - INFO - Epoch [69][1300/1873] lr: 1.132e-01, eta: 15:02:40, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3071, top5_acc: 0.5618, loss_cls: 5.5113, loss: 5.5113 +2023-12-21 11:51:42,717 - pyskl - INFO - Epoch [69][1400/1873] lr: 1.131e-01, eta: 15:02:01, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3082, top5_acc: 0.5612, loss_cls: 5.5163, loss: 5.5163 +2023-12-21 11:52:15,694 - pyskl - INFO - Epoch [69][1500/1873] lr: 1.129e-01, eta: 15:01:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3091, top5_acc: 0.5639, loss_cls: 5.5199, loss: 5.5199 +2023-12-21 11:52:48,735 - pyskl - INFO - Epoch [69][1600/1873] lr: 1.128e-01, eta: 15:00:44, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3105, top5_acc: 0.5629, loss_cls: 5.4991, loss: 5.4991 +2023-12-21 11:53:21,741 - pyskl - INFO - Epoch [69][1700/1873] lr: 1.127e-01, eta: 15:00:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3083, top5_acc: 0.5677, loss_cls: 5.4949, loss: 5.4949 +2023-12-21 11:53:54,297 - pyskl - INFO - Epoch [69][1800/1873] lr: 1.126e-01, eta: 14:59:26, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3052, top5_acc: 0.5560, loss_cls: 5.5410, loss: 5.5410 +2023-12-21 11:54:21,677 - pyskl - INFO - Saving checkpoint at 69 epochs +2023-12-21 11:55:07,806 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 11:55:08,866 - pyskl - INFO - +top1_acc 0.2357 +top5_acc 0.4695 +2023-12-21 11:55:08,866 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 11:55:08,911 - pyskl - INFO - +mean_acc 0.2356 +2023-12-21 11:55:08,922 - pyskl - INFO - Epoch(val) [69][155] top1_acc: 0.2357, top5_acc: 0.4695, mean_class_accuracy: 0.2356 +2023-12-21 11:56:51,683 - pyskl - INFO - Epoch [70][100/1873] lr: 1.124e-01, eta: 14:59:13, time: 1.027, data_time: 0.695, memory: 8129, top1_acc: 0.3141, top5_acc: 0.5735, loss_cls: 5.4525, loss: 5.4525 +2023-12-21 11:57:24,624 - pyskl - INFO - Epoch [70][200/1873] lr: 1.123e-01, eta: 14:58:34, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3189, top5_acc: 0.5731, loss_cls: 5.4661, loss: 5.4661 +2023-12-21 11:57:57,704 - pyskl - INFO - Epoch [70][300/1873] lr: 1.122e-01, eta: 14:57:56, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3084, top5_acc: 0.5634, loss_cls: 5.4974, loss: 5.4974 +2023-12-21 11:58:30,862 - pyskl - INFO - Epoch [70][400/1873] lr: 1.121e-01, eta: 14:57:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3074, top5_acc: 0.5634, loss_cls: 5.5061, loss: 5.5061 +2023-12-21 11:59:03,829 - pyskl - INFO - Epoch [70][500/1873] lr: 1.120e-01, eta: 14:56:39, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3128, top5_acc: 0.5647, loss_cls: 5.4915, loss: 5.4915 +2023-12-21 11:59:37,000 - pyskl - INFO - Epoch [70][600/1873] lr: 1.119e-01, eta: 14:56:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3008, top5_acc: 0.5603, loss_cls: 5.5185, loss: 5.5185 +2023-12-21 12:00:10,233 - pyskl - INFO - Epoch [70][700/1873] lr: 1.118e-01, eta: 14:55:22, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.2993, top5_acc: 0.5609, loss_cls: 5.5328, loss: 5.5328 +2023-12-21 12:00:43,258 - pyskl - INFO - Epoch [70][800/1873] lr: 1.116e-01, eta: 14:54:44, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3010, top5_acc: 0.5598, loss_cls: 5.5255, loss: 5.5255 +2023-12-21 12:01:16,364 - pyskl - INFO - Epoch [70][900/1873] lr: 1.115e-01, eta: 14:54:05, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3023, top5_acc: 0.5602, loss_cls: 5.5119, loss: 5.5119 +2023-12-21 12:01:49,338 - pyskl - INFO - Epoch [70][1000/1873] lr: 1.114e-01, eta: 14:53:27, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3060, top5_acc: 0.5691, loss_cls: 5.5000, loss: 5.5000 +2023-12-21 12:02:22,368 - pyskl - INFO - Epoch [70][1100/1873] lr: 1.113e-01, eta: 14:52:48, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3065, top5_acc: 0.5696, loss_cls: 5.5054, loss: 5.5054 +2023-12-21 12:02:55,598 - pyskl - INFO - Epoch [70][1200/1873] lr: 1.112e-01, eta: 14:52:10, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3058, top5_acc: 0.5581, loss_cls: 5.5187, loss: 5.5187 +2023-12-21 12:03:28,661 - pyskl - INFO - Epoch [70][1300/1873] lr: 1.111e-01, eta: 14:51:31, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3116, top5_acc: 0.5681, loss_cls: 5.4743, loss: 5.4743 +2023-12-21 12:04:01,949 - pyskl - INFO - Epoch [70][1400/1873] lr: 1.110e-01, eta: 14:50:53, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3102, top5_acc: 0.5627, loss_cls: 5.4974, loss: 5.4974 +2023-12-21 12:04:35,047 - pyskl - INFO - Epoch [70][1500/1873] lr: 1.109e-01, eta: 14:50:15, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.2988, top5_acc: 0.5648, loss_cls: 5.5296, loss: 5.5296 +2023-12-21 12:05:08,325 - pyskl - INFO - Epoch [70][1600/1873] lr: 1.108e-01, eta: 14:49:37, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3126, top5_acc: 0.5630, loss_cls: 5.5080, loss: 5.5080 +2023-12-21 12:05:41,715 - pyskl - INFO - Epoch [70][1700/1873] lr: 1.106e-01, eta: 14:48:59, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3029, top5_acc: 0.5607, loss_cls: 5.5397, loss: 5.5397 +2023-12-21 12:06:14,329 - pyskl - INFO - Epoch [70][1800/1873] lr: 1.105e-01, eta: 14:48:20, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3083, top5_acc: 0.5605, loss_cls: 5.5024, loss: 5.5024 +2023-12-21 12:06:41,629 - pyskl - INFO - Saving checkpoint at 70 epochs +2023-12-21 12:07:27,592 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 12:07:28,334 - pyskl - INFO - +top1_acc 0.2562 +top5_acc 0.5067 +2023-12-21 12:07:28,335 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 12:07:28,371 - pyskl - INFO - +mean_acc 0.2559 +2023-12-21 12:07:28,372 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_56.pth was removed +2023-12-21 12:07:28,541 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_70.pth. +2023-12-21 12:07:28,541 - pyskl - INFO - Best top1_acc is 0.2562 at 70 epoch. +2023-12-21 12:07:28,551 - pyskl - INFO - Epoch(val) [70][155] top1_acc: 0.2562, top5_acc: 0.5067, mean_class_accuracy: 0.2559 +2023-12-21 12:09:12,974 - pyskl - INFO - Epoch [71][100/1873] lr: 1.103e-01, eta: 14:48:07, time: 1.044, data_time: 0.704, memory: 8129, top1_acc: 0.3192, top5_acc: 0.5699, loss_cls: 5.4700, loss: 5.4700 +2023-12-21 12:09:46,320 - pyskl - INFO - Epoch [71][200/1873] lr: 1.102e-01, eta: 14:47:29, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3066, top5_acc: 0.5748, loss_cls: 5.4780, loss: 5.4780 +2023-12-21 12:10:19,800 - pyskl - INFO - Epoch [71][300/1873] lr: 1.101e-01, eta: 14:46:51, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.3123, top5_acc: 0.5760, loss_cls: 5.4721, loss: 5.4721 +2023-12-21 12:10:53,168 - pyskl - INFO - Epoch [71][400/1873] lr: 1.100e-01, eta: 14:46:13, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3000, top5_acc: 0.5575, loss_cls: 5.5336, loss: 5.5336 +2023-12-21 12:11:26,409 - pyskl - INFO - Epoch [71][500/1873] lr: 1.099e-01, eta: 14:45:35, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3152, top5_acc: 0.5709, loss_cls: 5.4581, loss: 5.4581 +2023-12-21 12:11:59,748 - pyskl - INFO - Epoch [71][600/1873] lr: 1.098e-01, eta: 14:44:57, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3089, top5_acc: 0.5678, loss_cls: 5.4800, loss: 5.4800 +2023-12-21 12:12:32,955 - pyskl - INFO - Epoch [71][700/1873] lr: 1.097e-01, eta: 14:44:18, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3046, top5_acc: 0.5583, loss_cls: 5.5166, loss: 5.5166 +2023-12-21 12:13:06,310 - pyskl - INFO - Epoch [71][800/1873] lr: 1.096e-01, eta: 14:43:40, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3071, top5_acc: 0.5635, loss_cls: 5.4944, loss: 5.4944 +2023-12-21 12:13:39,582 - pyskl - INFO - Epoch [71][900/1873] lr: 1.095e-01, eta: 14:43:02, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3073, top5_acc: 0.5731, loss_cls: 5.4783, loss: 5.4783 +2023-12-21 12:14:12,709 - pyskl - INFO - Epoch [71][1000/1873] lr: 1.093e-01, eta: 14:42:24, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3028, top5_acc: 0.5670, loss_cls: 5.5055, loss: 5.5055 +2023-12-21 12:14:45,990 - pyskl - INFO - Epoch [71][1100/1873] lr: 1.092e-01, eta: 14:41:46, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.2996, top5_acc: 0.5650, loss_cls: 5.4999, loss: 5.4999 +2023-12-21 12:15:19,443 - pyskl - INFO - Epoch [71][1200/1873] lr: 1.091e-01, eta: 14:41:08, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.3056, top5_acc: 0.5637, loss_cls: 5.5263, loss: 5.5263 +2023-12-21 12:15:52,710 - pyskl - INFO - Epoch [71][1300/1873] lr: 1.090e-01, eta: 14:40:29, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3063, top5_acc: 0.5627, loss_cls: 5.5244, loss: 5.5244 +2023-12-21 12:16:26,005 - pyskl - INFO - Epoch [71][1400/1873] lr: 1.089e-01, eta: 14:39:51, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3187, top5_acc: 0.5696, loss_cls: 5.4715, loss: 5.4715 +2023-12-21 12:16:59,315 - pyskl - INFO - Epoch [71][1500/1873] lr: 1.088e-01, eta: 14:39:13, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3034, top5_acc: 0.5645, loss_cls: 5.5018, loss: 5.5018 +2023-12-21 12:17:32,567 - pyskl - INFO - Epoch [71][1600/1873] lr: 1.087e-01, eta: 14:38:35, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3113, top5_acc: 0.5702, loss_cls: 5.4755, loss: 5.4755 +2023-12-21 12:18:05,689 - pyskl - INFO - Epoch [71][1700/1873] lr: 1.086e-01, eta: 14:37:57, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3028, top5_acc: 0.5604, loss_cls: 5.5423, loss: 5.5423 +2023-12-21 12:18:38,686 - pyskl - INFO - Epoch [71][1800/1873] lr: 1.085e-01, eta: 14:37:18, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3047, top5_acc: 0.5664, loss_cls: 5.5027, loss: 5.5027 +2023-12-21 12:19:06,032 - pyskl - INFO - Saving checkpoint at 71 epochs +2023-12-21 12:19:51,327 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 12:19:52,377 - pyskl - INFO - +top1_acc 0.2422 +top5_acc 0.4916 +2023-12-21 12:19:52,377 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 12:19:52,419 - pyskl - INFO - +mean_acc 0.2419 +2023-12-21 12:19:52,429 - pyskl - INFO - Epoch(val) [71][155] top1_acc: 0.2422, top5_acc: 0.4916, mean_class_accuracy: 0.2419 +2023-12-21 12:21:34,674 - pyskl - INFO - Epoch [72][100/1873] lr: 1.083e-01, eta: 14:37:02, time: 1.022, data_time: 0.689, memory: 8129, top1_acc: 0.3166, top5_acc: 0.5780, loss_cls: 5.4273, loss: 5.4273 +2023-12-21 12:22:07,736 - pyskl - INFO - Epoch [72][200/1873] lr: 1.081e-01, eta: 14:36:24, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3131, top5_acc: 0.5745, loss_cls: 5.4492, loss: 5.4492 +2023-12-21 12:22:40,834 - pyskl - INFO - Epoch [72][300/1873] lr: 1.080e-01, eta: 14:35:45, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3049, top5_acc: 0.5603, loss_cls: 5.5215, loss: 5.5215 +2023-12-21 12:23:14,010 - pyskl - INFO - Epoch [72][400/1873] lr: 1.079e-01, eta: 14:35:07, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3085, top5_acc: 0.5691, loss_cls: 5.4868, loss: 5.4868 +2023-12-21 12:23:47,204 - pyskl - INFO - Epoch [72][500/1873] lr: 1.078e-01, eta: 14:34:29, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3061, top5_acc: 0.5605, loss_cls: 5.5071, loss: 5.5071 +2023-12-21 12:24:20,285 - pyskl - INFO - Epoch [72][600/1873] lr: 1.077e-01, eta: 14:33:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3105, top5_acc: 0.5683, loss_cls: 5.4761, loss: 5.4761 +2023-12-21 12:24:53,221 - pyskl - INFO - Epoch [72][700/1873] lr: 1.076e-01, eta: 14:33:12, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3120, top5_acc: 0.5692, loss_cls: 5.4624, loss: 5.4624 +2023-12-21 12:25:26,316 - pyskl - INFO - Epoch [72][800/1873] lr: 1.075e-01, eta: 14:32:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3150, top5_acc: 0.5715, loss_cls: 5.4675, loss: 5.4675 +2023-12-21 12:25:59,272 - pyskl - INFO - Epoch [72][900/1873] lr: 1.074e-01, eta: 14:31:55, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3138, top5_acc: 0.5800, loss_cls: 5.4537, loss: 5.4537 +2023-12-21 12:26:32,351 - pyskl - INFO - Epoch [72][1000/1873] lr: 1.073e-01, eta: 14:31:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3155, top5_acc: 0.5808, loss_cls: 5.4454, loss: 5.4454 +2023-12-21 12:27:05,558 - pyskl - INFO - Epoch [72][1100/1873] lr: 1.071e-01, eta: 14:30:39, time: 0.332, data_time: 0.001, memory: 8129, top1_acc: 0.3049, top5_acc: 0.5626, loss_cls: 5.5167, loss: 5.5167 +2023-12-21 12:27:38,850 - pyskl - INFO - Epoch [72][1200/1873] lr: 1.070e-01, eta: 14:30:01, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3113, top5_acc: 0.5650, loss_cls: 5.4994, loss: 5.4994 +2023-12-21 12:28:12,236 - pyskl - INFO - Epoch [72][1300/1873] lr: 1.069e-01, eta: 14:29:23, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3091, top5_acc: 0.5691, loss_cls: 5.4896, loss: 5.4896 +2023-12-21 12:28:45,552 - pyskl - INFO - Epoch [72][1400/1873] lr: 1.068e-01, eta: 14:28:45, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3113, top5_acc: 0.5725, loss_cls: 5.4581, loss: 5.4581 +2023-12-21 12:29:18,961 - pyskl - INFO - Epoch [72][1500/1873] lr: 1.067e-01, eta: 14:28:07, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3087, top5_acc: 0.5711, loss_cls: 5.4709, loss: 5.4709 +2023-12-21 12:29:51,962 - pyskl - INFO - Epoch [72][1600/1873] lr: 1.066e-01, eta: 14:27:29, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3050, top5_acc: 0.5625, loss_cls: 5.5039, loss: 5.5039 +2023-12-21 12:30:25,211 - pyskl - INFO - Epoch [72][1700/1873] lr: 1.065e-01, eta: 14:26:50, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3069, top5_acc: 0.5662, loss_cls: 5.5032, loss: 5.5032 +2023-12-21 12:30:58,001 - pyskl - INFO - Epoch [72][1800/1873] lr: 1.064e-01, eta: 14:26:12, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3073, top5_acc: 0.5662, loss_cls: 5.5046, loss: 5.5046 +2023-12-21 12:31:25,514 - pyskl - INFO - Saving checkpoint at 72 epochs +2023-12-21 12:32:10,282 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 12:32:11,034 - pyskl - INFO - +top1_acc 0.2280 +top5_acc 0.4690 +2023-12-21 12:32:11,034 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 12:32:11,068 - pyskl - INFO - +mean_acc 0.2279 +2023-12-21 12:32:11,077 - pyskl - INFO - Epoch(val) [72][155] top1_acc: 0.2280, top5_acc: 0.4690, mean_class_accuracy: 0.2279 +2023-12-21 12:33:56,021 - pyskl - INFO - Epoch [73][100/1873] lr: 1.062e-01, eta: 14:25:57, time: 1.049, data_time: 0.710, memory: 8129, top1_acc: 0.3152, top5_acc: 0.5769, loss_cls: 5.4402, loss: 5.4402 +2023-12-21 12:34:29,445 - pyskl - INFO - Epoch [73][200/1873] lr: 1.061e-01, eta: 14:25:19, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3179, top5_acc: 0.5775, loss_cls: 5.4390, loss: 5.4390 +2023-12-21 12:35:02,644 - pyskl - INFO - Epoch [73][300/1873] lr: 1.059e-01, eta: 14:24:41, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3142, top5_acc: 0.5812, loss_cls: 5.4462, loss: 5.4462 +2023-12-21 12:35:36,085 - pyskl - INFO - Epoch [73][400/1873] lr: 1.058e-01, eta: 14:24:03, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3104, top5_acc: 0.5677, loss_cls: 5.4844, loss: 5.4844 +2023-12-21 12:36:09,391 - pyskl - INFO - Epoch [73][500/1873] lr: 1.057e-01, eta: 14:23:25, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3059, top5_acc: 0.5636, loss_cls: 5.4911, loss: 5.4911 +2023-12-21 12:36:42,750 - pyskl - INFO - Epoch [73][600/1873] lr: 1.056e-01, eta: 14:22:47, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3237, top5_acc: 0.5781, loss_cls: 5.4345, loss: 5.4345 +2023-12-21 12:37:16,175 - pyskl - INFO - Epoch [73][700/1873] lr: 1.055e-01, eta: 14:22:09, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3119, top5_acc: 0.5691, loss_cls: 5.4816, loss: 5.4816 +2023-12-21 12:37:49,545 - pyskl - INFO - Epoch [73][800/1873] lr: 1.054e-01, eta: 14:21:32, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3166, top5_acc: 0.5723, loss_cls: 5.4701, loss: 5.4701 +2023-12-21 12:38:22,864 - pyskl - INFO - Epoch [73][900/1873] lr: 1.053e-01, eta: 14:20:54, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3120, top5_acc: 0.5719, loss_cls: 5.4549, loss: 5.4549 +2023-12-21 12:38:56,152 - pyskl - INFO - Epoch [73][1000/1873] lr: 1.052e-01, eta: 14:20:16, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3123, top5_acc: 0.5636, loss_cls: 5.5010, loss: 5.5010 +2023-12-21 12:39:29,480 - pyskl - INFO - Epoch [73][1100/1873] lr: 1.051e-01, eta: 14:19:38, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3100, top5_acc: 0.5677, loss_cls: 5.4624, loss: 5.4624 +2023-12-21 12:40:02,699 - pyskl - INFO - Epoch [73][1200/1873] lr: 1.049e-01, eta: 14:18:59, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3184, top5_acc: 0.5730, loss_cls: 5.4581, loss: 5.4581 +2023-12-21 12:40:35,879 - pyskl - INFO - Epoch [73][1300/1873] lr: 1.048e-01, eta: 14:18:21, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3110, top5_acc: 0.5630, loss_cls: 5.4981, loss: 5.4981 +2023-12-21 12:41:09,080 - pyskl - INFO - Epoch [73][1400/1873] lr: 1.047e-01, eta: 14:17:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3145, top5_acc: 0.5730, loss_cls: 5.4453, loss: 5.4453 +2023-12-21 12:41:42,283 - pyskl - INFO - Epoch [73][1500/1873] lr: 1.046e-01, eta: 14:17:05, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3050, top5_acc: 0.5633, loss_cls: 5.5023, loss: 5.5023 +2023-12-21 12:42:15,517 - pyskl - INFO - Epoch [73][1600/1873] lr: 1.045e-01, eta: 14:16:27, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3091, top5_acc: 0.5702, loss_cls: 5.4897, loss: 5.4897 +2023-12-21 12:42:48,811 - pyskl - INFO - Epoch [73][1700/1873] lr: 1.044e-01, eta: 14:15:49, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3056, top5_acc: 0.5641, loss_cls: 5.5143, loss: 5.5143 +2023-12-21 12:43:21,907 - pyskl - INFO - Epoch [73][1800/1873] lr: 1.043e-01, eta: 14:15:11, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3175, top5_acc: 0.5748, loss_cls: 5.4611, loss: 5.4611 +2023-12-21 12:43:49,169 - pyskl - INFO - Saving checkpoint at 73 epochs +2023-12-21 12:44:36,141 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 12:44:36,962 - pyskl - INFO - +top1_acc 0.2445 +top5_acc 0.4851 +2023-12-21 12:44:36,963 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 12:44:36,997 - pyskl - INFO - +mean_acc 0.2444 +2023-12-21 12:44:37,007 - pyskl - INFO - Epoch(val) [73][155] top1_acc: 0.2445, top5_acc: 0.4851, mean_class_accuracy: 0.2444 +2023-12-21 12:46:20,125 - pyskl - INFO - Epoch [74][100/1873] lr: 1.041e-01, eta: 14:14:53, time: 1.031, data_time: 0.700, memory: 8129, top1_acc: 0.3171, top5_acc: 0.5763, loss_cls: 5.4276, loss: 5.4276 +2023-12-21 12:46:53,072 - pyskl - INFO - Epoch [74][200/1873] lr: 1.040e-01, eta: 14:14:15, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3117, top5_acc: 0.5786, loss_cls: 5.4580, loss: 5.4580 +2023-12-21 12:47:26,005 - pyskl - INFO - Epoch [74][300/1873] lr: 1.039e-01, eta: 14:13:37, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3168, top5_acc: 0.5813, loss_cls: 5.4246, loss: 5.4246 +2023-12-21 12:47:59,144 - pyskl - INFO - Epoch [74][400/1873] lr: 1.037e-01, eta: 14:12:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3162, top5_acc: 0.5787, loss_cls: 5.4289, loss: 5.4289 +2023-12-21 12:48:32,171 - pyskl - INFO - Epoch [74][500/1873] lr: 1.036e-01, eta: 14:12:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3148, top5_acc: 0.5745, loss_cls: 5.4580, loss: 5.4580 +2023-12-21 12:49:05,033 - pyskl - INFO - Epoch [74][600/1873] lr: 1.035e-01, eta: 14:11:42, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3109, top5_acc: 0.5711, loss_cls: 5.4760, loss: 5.4760 +2023-12-21 12:49:38,006 - pyskl - INFO - Epoch [74][700/1873] lr: 1.034e-01, eta: 14:11:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3141, top5_acc: 0.5720, loss_cls: 5.4743, loss: 5.4743 +2023-12-21 12:50:11,003 - pyskl - INFO - Epoch [74][800/1873] lr: 1.033e-01, eta: 14:10:25, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3085, top5_acc: 0.5783, loss_cls: 5.4670, loss: 5.4670 +2023-12-21 12:50:43,929 - pyskl - INFO - Epoch [74][900/1873] lr: 1.032e-01, eta: 14:09:47, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3091, top5_acc: 0.5687, loss_cls: 5.4795, loss: 5.4795 +2023-12-21 12:51:17,075 - pyskl - INFO - Epoch [74][1000/1873] lr: 1.031e-01, eta: 14:09:09, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3105, top5_acc: 0.5765, loss_cls: 5.4635, loss: 5.4635 +2023-12-21 12:51:50,109 - pyskl - INFO - Epoch [74][1100/1873] lr: 1.030e-01, eta: 14:08:30, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3106, top5_acc: 0.5693, loss_cls: 5.4804, loss: 5.4804 +2023-12-21 12:52:23,196 - pyskl - INFO - Epoch [74][1200/1873] lr: 1.028e-01, eta: 14:07:52, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3141, top5_acc: 0.5746, loss_cls: 5.4677, loss: 5.4677 +2023-12-21 12:52:56,115 - pyskl - INFO - Epoch [74][1300/1873] lr: 1.027e-01, eta: 14:07:14, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3100, top5_acc: 0.5759, loss_cls: 5.4582, loss: 5.4582 +2023-12-21 12:53:29,149 - pyskl - INFO - Epoch [74][1400/1873] lr: 1.026e-01, eta: 14:06:36, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3045, top5_acc: 0.5662, loss_cls: 5.4965, loss: 5.4965 +2023-12-21 12:54:02,177 - pyskl - INFO - Epoch [74][1500/1873] lr: 1.025e-01, eta: 14:05:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3219, top5_acc: 0.5762, loss_cls: 5.4370, loss: 5.4370 +2023-12-21 12:54:34,974 - pyskl - INFO - Epoch [74][1600/1873] lr: 1.024e-01, eta: 14:05:19, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3192, top5_acc: 0.5741, loss_cls: 5.4530, loss: 5.4530 +2023-12-21 12:55:07,913 - pyskl - INFO - Epoch [74][1700/1873] lr: 1.023e-01, eta: 14:04:41, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3106, top5_acc: 0.5655, loss_cls: 5.4880, loss: 5.4880 +2023-12-21 12:55:41,047 - pyskl - INFO - Epoch [74][1800/1873] lr: 1.022e-01, eta: 14:04:03, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3136, top5_acc: 0.5737, loss_cls: 5.4450, loss: 5.4450 +2023-12-21 12:56:08,191 - pyskl - INFO - Saving checkpoint at 74 epochs +2023-12-21 12:56:54,908 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 12:56:55,983 - pyskl - INFO - +top1_acc 0.2506 +top5_acc 0.4977 +2023-12-21 12:56:55,984 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 12:56:56,030 - pyskl - INFO - +mean_acc 0.2503 +2023-12-21 12:56:56,042 - pyskl - INFO - Epoch(val) [74][155] top1_acc: 0.2506, top5_acc: 0.4977, mean_class_accuracy: 0.2503 +2023-12-21 12:58:39,205 - pyskl - INFO - Epoch [75][100/1873] lr: 1.020e-01, eta: 14:03:44, time: 1.031, data_time: 0.687, memory: 8129, top1_acc: 0.3234, top5_acc: 0.5870, loss_cls: 5.3971, loss: 5.3971 +2023-12-21 12:59:12,119 - pyskl - INFO - Epoch [75][200/1873] lr: 1.019e-01, eta: 14:03:06, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3180, top5_acc: 0.5802, loss_cls: 5.4375, loss: 5.4375 +2023-12-21 12:59:45,337 - pyskl - INFO - Epoch [75][300/1873] lr: 1.018e-01, eta: 14:02:28, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3134, top5_acc: 0.5809, loss_cls: 5.4489, loss: 5.4489 +2023-12-21 13:00:18,436 - pyskl - INFO - Epoch [75][400/1873] lr: 1.016e-01, eta: 14:01:50, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3160, top5_acc: 0.5741, loss_cls: 5.4427, loss: 5.4427 +2023-12-21 13:00:51,546 - pyskl - INFO - Epoch [75][500/1873] lr: 1.015e-01, eta: 14:01:11, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3191, top5_acc: 0.5811, loss_cls: 5.4229, loss: 5.4229 +2023-12-21 13:01:24,536 - pyskl - INFO - Epoch [75][600/1873] lr: 1.014e-01, eta: 14:00:33, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3148, top5_acc: 0.5729, loss_cls: 5.4519, loss: 5.4519 +2023-12-21 13:01:57,634 - pyskl - INFO - Epoch [75][700/1873] lr: 1.013e-01, eta: 13:59:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3178, top5_acc: 0.5766, loss_cls: 5.4381, loss: 5.4381 +2023-12-21 13:02:30,600 - pyskl - INFO - Epoch [75][800/1873] lr: 1.012e-01, eta: 13:59:17, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3129, top5_acc: 0.5752, loss_cls: 5.4436, loss: 5.4436 +2023-12-21 13:03:03,742 - pyskl - INFO - Epoch [75][900/1873] lr: 1.011e-01, eta: 13:58:39, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3108, top5_acc: 0.5643, loss_cls: 5.4888, loss: 5.4888 +2023-12-21 13:03:36,948 - pyskl - INFO - Epoch [75][1000/1873] lr: 1.010e-01, eta: 13:58:01, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3068, top5_acc: 0.5699, loss_cls: 5.4722, loss: 5.4722 +2023-12-21 13:04:10,146 - pyskl - INFO - Epoch [75][1100/1873] lr: 1.009e-01, eta: 13:57:23, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3181, top5_acc: 0.5783, loss_cls: 5.4272, loss: 5.4272 +2023-12-21 13:04:43,011 - pyskl - INFO - Epoch [75][1200/1873] lr: 1.008e-01, eta: 13:56:45, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3098, top5_acc: 0.5680, loss_cls: 5.4759, loss: 5.4759 +2023-12-21 13:05:15,835 - pyskl - INFO - Epoch [75][1300/1873] lr: 1.006e-01, eta: 13:56:06, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3275, top5_acc: 0.5799, loss_cls: 5.4090, loss: 5.4090 +2023-12-21 13:05:48,804 - pyskl - INFO - Epoch [75][1400/1873] lr: 1.005e-01, eta: 13:55:28, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3194, top5_acc: 0.5811, loss_cls: 5.4234, loss: 5.4234 +2023-12-21 13:06:21,792 - pyskl - INFO - Epoch [75][1500/1873] lr: 1.004e-01, eta: 13:54:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3141, top5_acc: 0.5746, loss_cls: 5.4674, loss: 5.4674 +2023-12-21 13:06:54,535 - pyskl - INFO - Epoch [75][1600/1873] lr: 1.003e-01, eta: 13:54:12, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3157, top5_acc: 0.5741, loss_cls: 5.4554, loss: 5.4554 +2023-12-21 13:07:27,534 - pyskl - INFO - Epoch [75][1700/1873] lr: 1.002e-01, eta: 13:53:33, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3145, top5_acc: 0.5722, loss_cls: 5.4687, loss: 5.4687 +2023-12-21 13:08:00,778 - pyskl - INFO - Epoch [75][1800/1873] lr: 1.001e-01, eta: 13:52:56, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3170, top5_acc: 0.5750, loss_cls: 5.4591, loss: 5.4591 +2023-12-21 13:08:27,712 - pyskl - INFO - Saving checkpoint at 75 epochs +2023-12-21 13:09:15,274 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 13:09:16,354 - pyskl - INFO - +top1_acc 0.2274 +top5_acc 0.4726 +2023-12-21 13:09:16,354 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 13:09:16,388 - pyskl - INFO - +mean_acc 0.2273 +2023-12-21 13:09:16,398 - pyskl - INFO - Epoch(val) [75][155] top1_acc: 0.2274, top5_acc: 0.4726, mean_class_accuracy: 0.2273 +2023-12-21 13:11:00,883 - pyskl - INFO - Epoch [76][100/1873] lr: 9.989e-02, eta: 13:52:37, time: 1.045, data_time: 0.694, memory: 8129, top1_acc: 0.3184, top5_acc: 0.5809, loss_cls: 5.3988, loss: 5.3988 +2023-12-21 13:11:33,948 - pyskl - INFO - Epoch [76][200/1873] lr: 9.978e-02, eta: 13:51:59, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3184, top5_acc: 0.5791, loss_cls: 5.4251, loss: 5.4251 +2023-12-21 13:12:07,357 - pyskl - INFO - Epoch [76][300/1873] lr: 9.967e-02, eta: 13:51:21, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3187, top5_acc: 0.5777, loss_cls: 5.4248, loss: 5.4248 +2023-12-21 13:12:40,597 - pyskl - INFO - Epoch [76][400/1873] lr: 9.955e-02, eta: 13:50:43, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3184, top5_acc: 0.5795, loss_cls: 5.4257, loss: 5.4257 +2023-12-21 13:13:13,964 - pyskl - INFO - Epoch [76][500/1873] lr: 9.944e-02, eta: 13:50:05, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3155, top5_acc: 0.5713, loss_cls: 5.4614, loss: 5.4614 +2023-12-21 13:13:47,063 - pyskl - INFO - Epoch [76][600/1873] lr: 9.933e-02, eta: 13:49:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3243, top5_acc: 0.5866, loss_cls: 5.4092, loss: 5.4092 +2023-12-21 13:14:20,272 - pyskl - INFO - Epoch [76][700/1873] lr: 9.922e-02, eta: 13:48:49, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3220, top5_acc: 0.5821, loss_cls: 5.4234, loss: 5.4234 +2023-12-21 13:14:53,404 - pyskl - INFO - Epoch [76][800/1873] lr: 9.911e-02, eta: 13:48:11, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3150, top5_acc: 0.5691, loss_cls: 5.4510, loss: 5.4510 +2023-12-21 13:15:26,502 - pyskl - INFO - Epoch [76][900/1873] lr: 9.899e-02, eta: 13:47:33, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3195, top5_acc: 0.5788, loss_cls: 5.4370, loss: 5.4370 +2023-12-21 13:15:59,541 - pyskl - INFO - Epoch [76][1000/1873] lr: 9.888e-02, eta: 13:46:55, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3077, top5_acc: 0.5664, loss_cls: 5.4799, loss: 5.4799 +2023-12-21 13:16:32,807 - pyskl - INFO - Epoch [76][1100/1873] lr: 9.877e-02, eta: 13:46:17, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3219, top5_acc: 0.5813, loss_cls: 5.4076, loss: 5.4076 +2023-12-21 13:17:05,902 - pyskl - INFO - Epoch [76][1200/1873] lr: 9.866e-02, eta: 13:45:39, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3116, top5_acc: 0.5727, loss_cls: 5.4514, loss: 5.4514 +2023-12-21 13:17:39,048 - pyskl - INFO - Epoch [76][1300/1873] lr: 9.855e-02, eta: 13:45:01, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3248, top5_acc: 0.5734, loss_cls: 5.4394, loss: 5.4394 +2023-12-21 13:18:12,483 - pyskl - INFO - Epoch [76][1400/1873] lr: 9.844e-02, eta: 13:44:24, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3141, top5_acc: 0.5727, loss_cls: 5.4740, loss: 5.4740 +2023-12-21 13:18:45,799 - pyskl - INFO - Epoch [76][1500/1873] lr: 9.832e-02, eta: 13:43:46, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3100, top5_acc: 0.5688, loss_cls: 5.4721, loss: 5.4721 +2023-12-21 13:19:19,072 - pyskl - INFO - Epoch [76][1600/1873] lr: 9.821e-02, eta: 13:43:08, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3151, top5_acc: 0.5763, loss_cls: 5.4442, loss: 5.4442 +2023-12-21 13:19:52,141 - pyskl - INFO - Epoch [76][1700/1873] lr: 9.810e-02, eta: 13:42:30, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3126, top5_acc: 0.5708, loss_cls: 5.4623, loss: 5.4623 +2023-12-21 13:20:25,585 - pyskl - INFO - Epoch [76][1800/1873] lr: 9.799e-02, eta: 13:41:53, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3238, top5_acc: 0.5834, loss_cls: 5.4144, loss: 5.4144 +2023-12-21 13:20:52,723 - pyskl - INFO - Saving checkpoint at 76 epochs +2023-12-21 13:21:40,989 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 13:21:41,787 - pyskl - INFO - +top1_acc 0.2442 +top5_acc 0.4850 +2023-12-21 13:21:41,787 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 13:21:41,823 - pyskl - INFO - +mean_acc 0.2441 +2023-12-21 13:21:41,833 - pyskl - INFO - Epoch(val) [76][155] top1_acc: 0.2442, top5_acc: 0.4850, mean_class_accuracy: 0.2441 +2023-12-21 13:23:25,892 - pyskl - INFO - Epoch [77][100/1873] lr: 9.780e-02, eta: 13:41:32, time: 1.040, data_time: 0.694, memory: 8129, top1_acc: 0.3229, top5_acc: 0.5865, loss_cls: 5.3755, loss: 5.3755 +2023-12-21 13:23:58,725 - pyskl - INFO - Epoch [77][200/1873] lr: 9.768e-02, eta: 13:40:54, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3234, top5_acc: 0.5820, loss_cls: 5.4031, loss: 5.4031 +2023-12-21 13:24:31,605 - pyskl - INFO - Epoch [77][300/1873] lr: 9.757e-02, eta: 13:40:16, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3177, top5_acc: 0.5797, loss_cls: 5.4169, loss: 5.4169 +2023-12-21 13:25:04,526 - pyskl - INFO - Epoch [77][400/1873] lr: 9.746e-02, eta: 13:39:38, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3249, top5_acc: 0.5779, loss_cls: 5.4242, loss: 5.4242 +2023-12-21 13:25:37,317 - pyskl - INFO - Epoch [77][500/1873] lr: 9.735e-02, eta: 13:38:59, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3275, top5_acc: 0.5863, loss_cls: 5.3892, loss: 5.3892 +2023-12-21 13:26:10,300 - pyskl - INFO - Epoch [77][600/1873] lr: 9.724e-02, eta: 13:38:21, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3243, top5_acc: 0.5801, loss_cls: 5.4172, loss: 5.4172 +2023-12-21 13:26:43,262 - pyskl - INFO - Epoch [77][700/1873] lr: 9.712e-02, eta: 13:37:43, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3097, top5_acc: 0.5748, loss_cls: 5.4689, loss: 5.4689 +2023-12-21 13:27:16,169 - pyskl - INFO - Epoch [77][800/1873] lr: 9.701e-02, eta: 13:37:05, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3141, top5_acc: 0.5769, loss_cls: 5.4491, loss: 5.4491 +2023-12-21 13:27:49,249 - pyskl - INFO - Epoch [77][900/1873] lr: 9.690e-02, eta: 13:36:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3231, top5_acc: 0.5741, loss_cls: 5.4300, loss: 5.4300 +2023-12-21 13:28:22,217 - pyskl - INFO - Epoch [77][1000/1873] lr: 9.679e-02, eta: 13:35:49, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3181, top5_acc: 0.5771, loss_cls: 5.4315, loss: 5.4315 +2023-12-21 13:28:55,146 - pyskl - INFO - Epoch [77][1100/1873] lr: 9.668e-02, eta: 13:35:11, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3184, top5_acc: 0.5741, loss_cls: 5.4460, loss: 5.4460 +2023-12-21 13:29:28,288 - pyskl - INFO - Epoch [77][1200/1873] lr: 9.657e-02, eta: 13:34:33, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3184, top5_acc: 0.5808, loss_cls: 5.4336, loss: 5.4336 +2023-12-21 13:30:01,280 - pyskl - INFO - Epoch [77][1300/1873] lr: 9.645e-02, eta: 13:33:55, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3249, top5_acc: 0.5809, loss_cls: 5.4105, loss: 5.4105 +2023-12-21 13:30:34,337 - pyskl - INFO - Epoch [77][1400/1873] lr: 9.634e-02, eta: 13:33:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3176, top5_acc: 0.5736, loss_cls: 5.4527, loss: 5.4527 +2023-12-21 13:31:07,320 - pyskl - INFO - Epoch [77][1500/1873] lr: 9.623e-02, eta: 13:32:39, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3247, top5_acc: 0.5808, loss_cls: 5.4181, loss: 5.4181 +2023-12-21 13:31:40,260 - pyskl - INFO - Epoch [77][1600/1873] lr: 9.612e-02, eta: 13:32:01, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3205, top5_acc: 0.5760, loss_cls: 5.4352, loss: 5.4352 +2023-12-21 13:32:13,048 - pyskl - INFO - Epoch [77][1700/1873] lr: 9.601e-02, eta: 13:31:23, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3203, top5_acc: 0.5745, loss_cls: 5.4311, loss: 5.4311 +2023-12-21 13:32:46,312 - pyskl - INFO - Epoch [77][1800/1873] lr: 9.590e-02, eta: 13:30:45, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3160, top5_acc: 0.5754, loss_cls: 5.4418, loss: 5.4418 +2023-12-21 13:33:13,265 - pyskl - INFO - Saving checkpoint at 77 epochs +2023-12-21 13:34:00,622 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 13:34:01,656 - pyskl - INFO - +top1_acc 0.2235 +top5_acc 0.4647 +2023-12-21 13:34:01,656 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 13:34:01,697 - pyskl - INFO - +mean_acc 0.2233 +2023-12-21 13:34:01,708 - pyskl - INFO - Epoch(val) [77][155] top1_acc: 0.2235, top5_acc: 0.4647, mean_class_accuracy: 0.2233 +2023-12-21 13:35:44,616 - pyskl - INFO - Epoch [78][100/1873] lr: 9.570e-02, eta: 13:30:23, time: 1.029, data_time: 0.662, memory: 8129, top1_acc: 0.3199, top5_acc: 0.5854, loss_cls: 5.3952, loss: 5.3952 +2023-12-21 13:36:17,705 - pyskl - INFO - Epoch [78][200/1873] lr: 9.559e-02, eta: 13:29:45, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3236, top5_acc: 0.5860, loss_cls: 5.3886, loss: 5.3886 +2023-12-21 13:36:50,598 - pyskl - INFO - Epoch [78][300/1873] lr: 9.548e-02, eta: 13:29:07, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3210, top5_acc: 0.5809, loss_cls: 5.4082, loss: 5.4082 +2023-12-21 13:37:23,482 - pyskl - INFO - Epoch [78][400/1873] lr: 9.537e-02, eta: 13:28:28, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3216, top5_acc: 0.5780, loss_cls: 5.4273, loss: 5.4273 +2023-12-21 13:37:56,454 - pyskl - INFO - Epoch [78][500/1873] lr: 9.526e-02, eta: 13:27:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3174, top5_acc: 0.5788, loss_cls: 5.4289, loss: 5.4289 +2023-12-21 13:38:29,547 - pyskl - INFO - Epoch [78][600/1873] lr: 9.514e-02, eta: 13:27:13, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3296, top5_acc: 0.5902, loss_cls: 5.3828, loss: 5.3828 +2023-12-21 13:39:02,724 - pyskl - INFO - Epoch [78][700/1873] lr: 9.503e-02, eta: 13:26:35, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3145, top5_acc: 0.5752, loss_cls: 5.4413, loss: 5.4413 +2023-12-21 13:39:35,649 - pyskl - INFO - Epoch [78][800/1873] lr: 9.492e-02, eta: 13:25:57, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3203, top5_acc: 0.5782, loss_cls: 5.4127, loss: 5.4127 +2023-12-21 13:40:08,616 - pyskl - INFO - Epoch [78][900/1873] lr: 9.481e-02, eta: 13:25:19, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3241, top5_acc: 0.5897, loss_cls: 5.3947, loss: 5.3947 +2023-12-21 13:40:41,838 - pyskl - INFO - Epoch [78][1000/1873] lr: 9.470e-02, eta: 13:24:41, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3148, top5_acc: 0.5775, loss_cls: 5.4444, loss: 5.4444 +2023-12-21 13:41:14,875 - pyskl - INFO - Epoch [78][1100/1873] lr: 9.458e-02, eta: 13:24:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3200, top5_acc: 0.5841, loss_cls: 5.4395, loss: 5.4395 +2023-12-21 13:41:47,853 - pyskl - INFO - Epoch [78][1200/1873] lr: 9.447e-02, eta: 13:23:25, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3173, top5_acc: 0.5813, loss_cls: 5.4255, loss: 5.4255 +2023-12-21 13:42:20,816 - pyskl - INFO - Epoch [78][1300/1873] lr: 9.436e-02, eta: 13:22:47, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3197, top5_acc: 0.5820, loss_cls: 5.4093, loss: 5.4093 +2023-12-21 13:42:53,727 - pyskl - INFO - Epoch [78][1400/1873] lr: 9.425e-02, eta: 13:22:09, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3266, top5_acc: 0.5809, loss_cls: 5.4100, loss: 5.4100 +2023-12-21 13:43:26,714 - pyskl - INFO - Epoch [78][1500/1873] lr: 9.414e-02, eta: 13:21:31, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3208, top5_acc: 0.5737, loss_cls: 5.4387, loss: 5.4387 +2023-12-21 13:43:59,611 - pyskl - INFO - Epoch [78][1600/1873] lr: 9.403e-02, eta: 13:20:53, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3163, top5_acc: 0.5789, loss_cls: 5.4405, loss: 5.4405 +2023-12-21 13:44:32,432 - pyskl - INFO - Epoch [78][1700/1873] lr: 9.392e-02, eta: 13:20:15, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3150, top5_acc: 0.5746, loss_cls: 5.4369, loss: 5.4369 +2023-12-21 13:45:05,505 - pyskl - INFO - Epoch [78][1800/1873] lr: 9.380e-02, eta: 13:19:37, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3286, top5_acc: 0.5877, loss_cls: 5.3870, loss: 5.3870 +2023-12-21 13:45:32,342 - pyskl - INFO - Saving checkpoint at 78 epochs +2023-12-21 13:46:18,211 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 13:46:18,954 - pyskl - INFO - +top1_acc 0.2267 +top5_acc 0.4624 +2023-12-21 13:46:18,954 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 13:46:18,987 - pyskl - INFO - +mean_acc 0.2266 +2023-12-21 13:46:18,997 - pyskl - INFO - Epoch(val) [78][155] top1_acc: 0.2267, top5_acc: 0.4624, mean_class_accuracy: 0.2266 +2023-12-21 13:48:01,427 - pyskl - INFO - Epoch [79][100/1873] lr: 9.361e-02, eta: 13:19:13, time: 1.024, data_time: 0.697, memory: 8129, top1_acc: 0.3262, top5_acc: 0.5881, loss_cls: 5.3568, loss: 5.3568 +2023-12-21 13:48:33,813 - pyskl - INFO - Epoch [79][200/1873] lr: 9.350e-02, eta: 13:18:35, time: 0.324, data_time: 0.000, memory: 8129, top1_acc: 0.3321, top5_acc: 0.5969, loss_cls: 5.3394, loss: 5.3394 +2023-12-21 13:49:06,123 - pyskl - INFO - Epoch [79][300/1873] lr: 9.339e-02, eta: 13:17:56, time: 0.323, data_time: 0.000, memory: 8129, top1_acc: 0.3329, top5_acc: 0.5948, loss_cls: 5.3606, loss: 5.3606 +2023-12-21 13:49:38,748 - pyskl - INFO - Epoch [79][400/1873] lr: 9.328e-02, eta: 13:17:18, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3307, top5_acc: 0.5877, loss_cls: 5.3747, loss: 5.3747 +2023-12-21 13:50:11,314 - pyskl - INFO - Epoch [79][500/1873] lr: 9.316e-02, eta: 13:16:39, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3228, top5_acc: 0.5796, loss_cls: 5.4285, loss: 5.4285 +2023-12-21 13:50:43,984 - pyskl - INFO - Epoch [79][600/1873] lr: 9.305e-02, eta: 13:16:01, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3259, top5_acc: 0.5963, loss_cls: 5.3559, loss: 5.3559 +2023-12-21 13:51:16,492 - pyskl - INFO - Epoch [79][700/1873] lr: 9.294e-02, eta: 13:15:23, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3227, top5_acc: 0.5810, loss_cls: 5.4136, loss: 5.4136 +2023-12-21 13:51:49,182 - pyskl - INFO - Epoch [79][800/1873] lr: 9.283e-02, eta: 13:14:45, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3166, top5_acc: 0.5820, loss_cls: 5.4320, loss: 5.4320 +2023-12-21 13:52:21,762 - pyskl - INFO - Epoch [79][900/1873] lr: 9.272e-02, eta: 13:14:06, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3222, top5_acc: 0.5789, loss_cls: 5.4108, loss: 5.4108 +2023-12-21 13:52:54,605 - pyskl - INFO - Epoch [79][1000/1873] lr: 9.261e-02, eta: 13:13:28, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3265, top5_acc: 0.5834, loss_cls: 5.4067, loss: 5.4067 +2023-12-21 13:53:27,344 - pyskl - INFO - Epoch [79][1100/1873] lr: 9.249e-02, eta: 13:12:50, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3201, top5_acc: 0.5840, loss_cls: 5.4142, loss: 5.4142 +2023-12-21 13:54:00,165 - pyskl - INFO - Epoch [79][1200/1873] lr: 9.238e-02, eta: 13:12:12, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3208, top5_acc: 0.5758, loss_cls: 5.4218, loss: 5.4218 +2023-12-21 13:54:32,816 - pyskl - INFO - Epoch [79][1300/1873] lr: 9.227e-02, eta: 13:11:34, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3215, top5_acc: 0.5826, loss_cls: 5.4062, loss: 5.4062 +2023-12-21 13:55:05,625 - pyskl - INFO - Epoch [79][1400/1873] lr: 9.216e-02, eta: 13:10:56, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3209, top5_acc: 0.5840, loss_cls: 5.4049, loss: 5.4049 +2023-12-21 13:55:38,346 - pyskl - INFO - Epoch [79][1500/1873] lr: 9.205e-02, eta: 13:10:18, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3212, top5_acc: 0.5784, loss_cls: 5.4271, loss: 5.4271 +2023-12-21 13:56:11,275 - pyskl - INFO - Epoch [79][1600/1873] lr: 9.194e-02, eta: 13:09:40, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3248, top5_acc: 0.5838, loss_cls: 5.4219, loss: 5.4219 +2023-12-21 13:56:44,021 - pyskl - INFO - Epoch [79][1700/1873] lr: 9.183e-02, eta: 13:09:02, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3187, top5_acc: 0.5777, loss_cls: 5.4413, loss: 5.4413 +2023-12-21 13:57:17,030 - pyskl - INFO - Epoch [79][1800/1873] lr: 9.171e-02, eta: 13:08:24, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3191, top5_acc: 0.5780, loss_cls: 5.4454, loss: 5.4454 +2023-12-21 13:57:43,488 - pyskl - INFO - Saving checkpoint at 79 epochs +2023-12-21 13:58:30,430 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 13:58:31,486 - pyskl - INFO - +top1_acc 0.2472 +top5_acc 0.4983 +2023-12-21 13:58:31,486 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 13:58:31,528 - pyskl - INFO - +mean_acc 0.2470 +2023-12-21 13:58:31,539 - pyskl - INFO - Epoch(val) [79][155] top1_acc: 0.2472, top5_acc: 0.4983, mean_class_accuracy: 0.2470 +2023-12-21 14:00:14,454 - pyskl - INFO - Epoch [80][100/1873] lr: 9.152e-02, eta: 13:07:59, time: 1.029, data_time: 0.697, memory: 8129, top1_acc: 0.3350, top5_acc: 0.5975, loss_cls: 5.3288, loss: 5.3288 +2023-12-21 14:00:47,167 - pyskl - INFO - Epoch [80][200/1873] lr: 9.141e-02, eta: 13:07:21, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3361, top5_acc: 0.5954, loss_cls: 5.3372, loss: 5.3372 +2023-12-21 14:01:19,907 - pyskl - INFO - Epoch [80][300/1873] lr: 9.130e-02, eta: 13:06:43, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3303, top5_acc: 0.5870, loss_cls: 5.3622, loss: 5.3622 +2023-12-21 14:01:52,878 - pyskl - INFO - Epoch [80][400/1873] lr: 9.119e-02, eta: 13:06:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3178, top5_acc: 0.5812, loss_cls: 5.4077, loss: 5.4077 +2023-12-21 14:02:25,948 - pyskl - INFO - Epoch [80][500/1873] lr: 9.108e-02, eta: 13:05:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3307, top5_acc: 0.5895, loss_cls: 5.3868, loss: 5.3868 +2023-12-21 14:02:59,001 - pyskl - INFO - Epoch [80][600/1873] lr: 9.096e-02, eta: 13:04:50, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3317, top5_acc: 0.5939, loss_cls: 5.3706, loss: 5.3706 +2023-12-21 14:03:32,186 - pyskl - INFO - Epoch [80][700/1873] lr: 9.085e-02, eta: 13:04:12, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3259, top5_acc: 0.5845, loss_cls: 5.3828, loss: 5.3828 +2023-12-21 14:04:05,247 - pyskl - INFO - Epoch [80][800/1873] lr: 9.074e-02, eta: 13:03:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3269, top5_acc: 0.5815, loss_cls: 5.4017, loss: 5.4017 +2023-12-21 14:04:38,307 - pyskl - INFO - Epoch [80][900/1873] lr: 9.063e-02, eta: 13:02:56, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3234, top5_acc: 0.5933, loss_cls: 5.3762, loss: 5.3762 +2023-12-21 14:05:11,501 - pyskl - INFO - Epoch [80][1000/1873] lr: 9.052e-02, eta: 13:02:19, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3305, top5_acc: 0.5916, loss_cls: 5.3747, loss: 5.3747 +2023-12-21 14:05:44,556 - pyskl - INFO - Epoch [80][1100/1873] lr: 9.041e-02, eta: 13:01:41, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3191, top5_acc: 0.5805, loss_cls: 5.4277, loss: 5.4277 +2023-12-21 14:06:17,760 - pyskl - INFO - Epoch [80][1200/1873] lr: 9.030e-02, eta: 13:01:03, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3203, top5_acc: 0.5870, loss_cls: 5.3908, loss: 5.3908 +2023-12-21 14:06:50,827 - pyskl - INFO - Epoch [80][1300/1873] lr: 9.019e-02, eta: 13:00:25, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3160, top5_acc: 0.5789, loss_cls: 5.4320, loss: 5.4320 +2023-12-21 14:07:24,074 - pyskl - INFO - Epoch [80][1400/1873] lr: 9.007e-02, eta: 12:59:48, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3236, top5_acc: 0.5822, loss_cls: 5.4218, loss: 5.4218 +2023-12-21 14:07:57,332 - pyskl - INFO - Epoch [80][1500/1873] lr: 8.996e-02, eta: 12:59:10, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3198, top5_acc: 0.5813, loss_cls: 5.4294, loss: 5.4294 +2023-12-21 14:08:30,528 - pyskl - INFO - Epoch [80][1600/1873] lr: 8.985e-02, eta: 12:58:33, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3193, top5_acc: 0.5848, loss_cls: 5.3808, loss: 5.3808 +2023-12-21 14:09:03,849 - pyskl - INFO - Epoch [80][1700/1873] lr: 8.974e-02, eta: 12:57:55, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3230, top5_acc: 0.5821, loss_cls: 5.4161, loss: 5.4161 +2023-12-21 14:09:36,751 - pyskl - INFO - Epoch [80][1800/1873] lr: 8.963e-02, eta: 12:57:17, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3187, top5_acc: 0.5774, loss_cls: 5.3994, loss: 5.3994 +2023-12-21 14:10:04,290 - pyskl - INFO - Saving checkpoint at 80 epochs +2023-12-21 14:10:50,433 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 14:10:51,482 - pyskl - INFO - +top1_acc 0.2587 +top5_acc 0.5168 +2023-12-21 14:10:51,482 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 14:10:51,524 - pyskl - INFO - +mean_acc 0.2584 +2023-12-21 14:10:51,530 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_70.pth was removed +2023-12-21 14:10:51,761 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_80.pth. +2023-12-21 14:10:51,761 - pyskl - INFO - Best top1_acc is 0.2587 at 80 epoch. +2023-12-21 14:10:51,773 - pyskl - INFO - Epoch(val) [80][155] top1_acc: 0.2587, top5_acc: 0.5168, mean_class_accuracy: 0.2584 +2023-12-21 14:12:36,063 - pyskl - INFO - Epoch [81][100/1873] lr: 8.944e-02, eta: 12:56:53, time: 1.043, data_time: 0.708, memory: 8129, top1_acc: 0.3359, top5_acc: 0.5933, loss_cls: 5.3520, loss: 5.3520 +2023-12-21 14:13:09,095 - pyskl - INFO - Epoch [81][200/1873] lr: 8.933e-02, eta: 12:56:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3286, top5_acc: 0.5916, loss_cls: 5.3633, loss: 5.3633 +2023-12-21 14:13:42,051 - pyskl - INFO - Epoch [81][300/1873] lr: 8.921e-02, eta: 12:55:37, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3296, top5_acc: 0.5945, loss_cls: 5.3673, loss: 5.3673 +2023-12-21 14:14:15,159 - pyskl - INFO - Epoch [81][400/1873] lr: 8.910e-02, eta: 12:55:00, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3295, top5_acc: 0.5899, loss_cls: 5.3642, loss: 5.3642 +2023-12-21 14:14:48,183 - pyskl - INFO - Epoch [81][500/1873] lr: 8.899e-02, eta: 12:54:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3324, top5_acc: 0.5892, loss_cls: 5.3690, loss: 5.3690 +2023-12-21 14:15:21,277 - pyskl - INFO - Epoch [81][600/1873] lr: 8.888e-02, eta: 12:53:44, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3227, top5_acc: 0.5760, loss_cls: 5.4253, loss: 5.4253 +2023-12-21 14:15:54,434 - pyskl - INFO - Epoch [81][700/1873] lr: 8.877e-02, eta: 12:53:07, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3356, top5_acc: 0.5965, loss_cls: 5.3307, loss: 5.3307 +2023-12-21 14:16:27,274 - pyskl - INFO - Epoch [81][800/1873] lr: 8.866e-02, eta: 12:52:29, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3277, top5_acc: 0.5848, loss_cls: 5.3939, loss: 5.3939 +2023-12-21 14:17:00,386 - pyskl - INFO - Epoch [81][900/1873] lr: 8.855e-02, eta: 12:51:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3275, top5_acc: 0.5902, loss_cls: 5.3736, loss: 5.3736 +2023-12-21 14:17:33,388 - pyskl - INFO - Epoch [81][1000/1873] lr: 8.844e-02, eta: 12:51:13, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3242, top5_acc: 0.5880, loss_cls: 5.3925, loss: 5.3925 +2023-12-21 14:18:06,575 - pyskl - INFO - Epoch [81][1100/1873] lr: 8.833e-02, eta: 12:50:36, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3287, top5_acc: 0.5874, loss_cls: 5.3872, loss: 5.3872 +2023-12-21 14:18:39,691 - pyskl - INFO - Epoch [81][1200/1873] lr: 8.821e-02, eta: 12:49:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3208, top5_acc: 0.5779, loss_cls: 5.4087, loss: 5.4087 +2023-12-21 14:19:12,841 - pyskl - INFO - Epoch [81][1300/1873] lr: 8.810e-02, eta: 12:49:20, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3233, top5_acc: 0.5826, loss_cls: 5.4219, loss: 5.4219 +2023-12-21 14:19:45,920 - pyskl - INFO - Epoch [81][1400/1873] lr: 8.799e-02, eta: 12:48:43, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3360, top5_acc: 0.5869, loss_cls: 5.3625, loss: 5.3625 +2023-12-21 14:20:18,939 - pyskl - INFO - Epoch [81][1500/1873] lr: 8.788e-02, eta: 12:48:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3216, top5_acc: 0.5864, loss_cls: 5.3886, loss: 5.3886 +2023-12-21 14:20:52,157 - pyskl - INFO - Epoch [81][1600/1873] lr: 8.777e-02, eta: 12:47:27, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3259, top5_acc: 0.5842, loss_cls: 5.3874, loss: 5.3874 +2023-12-21 14:21:25,345 - pyskl - INFO - Epoch [81][1700/1873] lr: 8.766e-02, eta: 12:46:50, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3255, top5_acc: 0.5927, loss_cls: 5.3701, loss: 5.3701 +2023-12-21 14:21:58,256 - pyskl - INFO - Epoch [81][1800/1873] lr: 8.755e-02, eta: 12:46:12, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3303, top5_acc: 0.5873, loss_cls: 5.3801, loss: 5.3801 +2023-12-21 14:22:25,483 - pyskl - INFO - Saving checkpoint at 81 epochs +2023-12-21 14:23:12,581 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 14:23:13,548 - pyskl - INFO - +top1_acc 0.2341 +top5_acc 0.4780 +2023-12-21 14:23:13,548 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 14:23:13,583 - pyskl - INFO - +mean_acc 0.2341 +2023-12-21 14:23:13,594 - pyskl - INFO - Epoch(val) [81][155] top1_acc: 0.2341, top5_acc: 0.4780, mean_class_accuracy: 0.2341 +2023-12-21 14:24:57,304 - pyskl - INFO - Epoch [82][100/1873] lr: 8.736e-02, eta: 12:45:46, time: 1.037, data_time: 0.707, memory: 8129, top1_acc: 0.3337, top5_acc: 0.6018, loss_cls: 5.3275, loss: 5.3275 +2023-12-21 14:25:30,005 - pyskl - INFO - Epoch [82][200/1873] lr: 8.725e-02, eta: 12:45:08, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3387, top5_acc: 0.5966, loss_cls: 5.3399, loss: 5.3399 +2023-12-21 14:26:02,705 - pyskl - INFO - Epoch [82][300/1873] lr: 8.714e-02, eta: 12:44:30, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3319, top5_acc: 0.5913, loss_cls: 5.3591, loss: 5.3591 +2023-12-21 14:26:35,761 - pyskl - INFO - Epoch [82][400/1873] lr: 8.702e-02, eta: 12:43:52, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3273, top5_acc: 0.5910, loss_cls: 5.3668, loss: 5.3668 +2023-12-21 14:27:08,717 - pyskl - INFO - Epoch [82][500/1873] lr: 8.691e-02, eta: 12:43:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3279, top5_acc: 0.5904, loss_cls: 5.3879, loss: 5.3879 +2023-12-21 14:27:41,552 - pyskl - INFO - Epoch [82][600/1873] lr: 8.680e-02, eta: 12:42:37, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3363, top5_acc: 0.5969, loss_cls: 5.3354, loss: 5.3354 +2023-12-21 14:28:14,372 - pyskl - INFO - Epoch [82][700/1873] lr: 8.669e-02, eta: 12:41:59, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3252, top5_acc: 0.5889, loss_cls: 5.3699, loss: 5.3699 +2023-12-21 14:28:47,204 - pyskl - INFO - Epoch [82][800/1873] lr: 8.658e-02, eta: 12:41:21, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3269, top5_acc: 0.5914, loss_cls: 5.3741, loss: 5.3741 +2023-12-21 14:29:20,125 - pyskl - INFO - Epoch [82][900/1873] lr: 8.647e-02, eta: 12:40:43, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3343, top5_acc: 0.5972, loss_cls: 5.3574, loss: 5.3574 +2023-12-21 14:29:53,160 - pyskl - INFO - Epoch [82][1000/1873] lr: 8.636e-02, eta: 12:40:06, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3297, top5_acc: 0.5816, loss_cls: 5.3733, loss: 5.3733 +2023-12-21 14:30:26,113 - pyskl - INFO - Epoch [82][1100/1873] lr: 8.625e-02, eta: 12:39:28, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3215, top5_acc: 0.5823, loss_cls: 5.3854, loss: 5.3854 +2023-12-21 14:30:59,046 - pyskl - INFO - Epoch [82][1200/1873] lr: 8.614e-02, eta: 12:38:50, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3309, top5_acc: 0.5862, loss_cls: 5.3624, loss: 5.3624 +2023-12-21 14:31:32,073 - pyskl - INFO - Epoch [82][1300/1873] lr: 8.603e-02, eta: 12:38:12, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3330, top5_acc: 0.5852, loss_cls: 5.3693, loss: 5.3693 +2023-12-21 14:32:05,130 - pyskl - INFO - Epoch [82][1400/1873] lr: 8.592e-02, eta: 12:37:35, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3302, top5_acc: 0.5886, loss_cls: 5.3572, loss: 5.3572 +2023-12-21 14:32:38,177 - pyskl - INFO - Epoch [82][1500/1873] lr: 8.581e-02, eta: 12:36:57, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3254, top5_acc: 0.5936, loss_cls: 5.3928, loss: 5.3928 +2023-12-21 14:33:11,121 - pyskl - INFO - Epoch [82][1600/1873] lr: 8.569e-02, eta: 12:36:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3285, top5_acc: 0.5884, loss_cls: 5.3904, loss: 5.3904 +2023-12-21 14:33:44,370 - pyskl - INFO - Epoch [82][1700/1873] lr: 8.558e-02, eta: 12:35:42, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3281, top5_acc: 0.5904, loss_cls: 5.3737, loss: 5.3737 +2023-12-21 14:34:17,188 - pyskl - INFO - Epoch [82][1800/1873] lr: 8.547e-02, eta: 12:35:04, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3275, top5_acc: 0.5908, loss_cls: 5.3785, loss: 5.3785 +2023-12-21 14:34:44,495 - pyskl - INFO - Saving checkpoint at 82 epochs +2023-12-21 14:35:30,644 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 14:35:31,346 - pyskl - INFO - +top1_acc 0.2402 +top5_acc 0.4902 +2023-12-21 14:35:31,347 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 14:35:31,382 - pyskl - INFO - +mean_acc 0.2399 +2023-12-21 14:35:31,393 - pyskl - INFO - Epoch(val) [82][155] top1_acc: 0.2402, top5_acc: 0.4902, mean_class_accuracy: 0.2399 +2023-12-21 14:37:17,564 - pyskl - INFO - Epoch [83][100/1873] lr: 8.528e-02, eta: 12:34:40, time: 1.062, data_time: 0.686, memory: 8129, top1_acc: 0.3421, top5_acc: 0.6012, loss_cls: 5.2998, loss: 5.2998 +2023-12-21 14:37:50,641 - pyskl - INFO - Epoch [83][200/1873] lr: 8.517e-02, eta: 12:34:02, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3368, top5_acc: 0.5954, loss_cls: 5.3457, loss: 5.3457 +2023-12-21 14:38:23,595 - pyskl - INFO - Epoch [83][300/1873] lr: 8.506e-02, eta: 12:33:24, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3357, top5_acc: 0.5921, loss_cls: 5.3296, loss: 5.3296 +2023-12-21 14:38:56,506 - pyskl - INFO - Epoch [83][400/1873] lr: 8.495e-02, eta: 12:32:46, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3318, top5_acc: 0.5959, loss_cls: 5.3470, loss: 5.3470 +2023-12-21 14:39:29,440 - pyskl - INFO - Epoch [83][500/1873] lr: 8.484e-02, eta: 12:32:09, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3264, top5_acc: 0.5909, loss_cls: 5.3747, loss: 5.3747 +2023-12-21 14:40:02,481 - pyskl - INFO - Epoch [83][600/1873] lr: 8.473e-02, eta: 12:31:31, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3277, top5_acc: 0.5955, loss_cls: 5.3687, loss: 5.3687 +2023-12-21 14:40:35,548 - pyskl - INFO - Epoch [83][700/1873] lr: 8.462e-02, eta: 12:30:53, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3319, top5_acc: 0.5938, loss_cls: 5.3486, loss: 5.3486 +2023-12-21 14:41:08,644 - pyskl - INFO - Epoch [83][800/1873] lr: 8.451e-02, eta: 12:30:16, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3268, top5_acc: 0.5880, loss_cls: 5.3657, loss: 5.3657 +2023-12-21 14:41:41,690 - pyskl - INFO - Epoch [83][900/1873] lr: 8.440e-02, eta: 12:29:38, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3295, top5_acc: 0.5935, loss_cls: 5.3688, loss: 5.3688 +2023-12-21 14:42:14,715 - pyskl - INFO - Epoch [83][1000/1873] lr: 8.429e-02, eta: 12:29:00, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3321, top5_acc: 0.5896, loss_cls: 5.3631, loss: 5.3631 +2023-12-21 14:42:47,872 - pyskl - INFO - Epoch [83][1100/1873] lr: 8.418e-02, eta: 12:28:23, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3273, top5_acc: 0.5855, loss_cls: 5.3786, loss: 5.3786 +2023-12-21 14:43:21,247 - pyskl - INFO - Epoch [83][1200/1873] lr: 8.407e-02, eta: 12:27:46, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3341, top5_acc: 0.5916, loss_cls: 5.3625, loss: 5.3625 +2023-12-21 14:43:54,449 - pyskl - INFO - Epoch [83][1300/1873] lr: 8.396e-02, eta: 12:27:08, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3352, top5_acc: 0.5950, loss_cls: 5.3497, loss: 5.3497 +2023-12-21 14:44:27,716 - pyskl - INFO - Epoch [83][1400/1873] lr: 8.385e-02, eta: 12:26:31, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3327, top5_acc: 0.5879, loss_cls: 5.3746, loss: 5.3746 +2023-12-21 14:45:01,089 - pyskl - INFO - Epoch [83][1500/1873] lr: 8.374e-02, eta: 12:25:53, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3358, top5_acc: 0.5952, loss_cls: 5.3333, loss: 5.3333 +2023-12-21 14:45:34,261 - pyskl - INFO - Epoch [83][1600/1873] lr: 8.363e-02, eta: 12:25:16, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3327, top5_acc: 0.5899, loss_cls: 5.3606, loss: 5.3606 +2023-12-21 14:46:07,374 - pyskl - INFO - Epoch [83][1700/1873] lr: 8.351e-02, eta: 12:24:38, time: 0.331, data_time: 0.001, memory: 8129, top1_acc: 0.3280, top5_acc: 0.5952, loss_cls: 5.3205, loss: 5.3205 +2023-12-21 14:46:40,143 - pyskl - INFO - Epoch [83][1800/1873] lr: 8.340e-02, eta: 12:24:00, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3308, top5_acc: 0.5923, loss_cls: 5.3546, loss: 5.3546 +2023-12-21 14:47:07,141 - pyskl - INFO - Saving checkpoint at 83 epochs +2023-12-21 14:47:53,213 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 14:47:53,956 - pyskl - INFO - +top1_acc 0.2587 +top5_acc 0.5026 +2023-12-21 14:47:53,956 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 14:47:53,991 - pyskl - INFO - +mean_acc 0.2586 +2023-12-21 14:47:54,001 - pyskl - INFO - Epoch(val) [83][155] top1_acc: 0.2587, top5_acc: 0.5026, mean_class_accuracy: 0.2586 +2023-12-21 14:49:39,313 - pyskl - INFO - Epoch [84][100/1873] lr: 8.321e-02, eta: 12:23:34, time: 1.053, data_time: 0.662, memory: 8129, top1_acc: 0.3382, top5_acc: 0.5985, loss_cls: 5.3110, loss: 5.3110 +2023-12-21 14:50:12,101 - pyskl - INFO - Epoch [84][200/1873] lr: 8.310e-02, eta: 12:22:56, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3409, top5_acc: 0.5981, loss_cls: 5.3213, loss: 5.3213 +2023-12-21 14:50:45,039 - pyskl - INFO - Epoch [84][300/1873] lr: 8.299e-02, eta: 12:22:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3391, top5_acc: 0.5962, loss_cls: 5.3238, loss: 5.3238 +2023-12-21 14:51:17,895 - pyskl - INFO - Epoch [84][400/1873] lr: 8.288e-02, eta: 12:21:41, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3409, top5_acc: 0.5984, loss_cls: 5.3033, loss: 5.3033 +2023-12-21 14:51:50,663 - pyskl - INFO - Epoch [84][500/1873] lr: 8.277e-02, eta: 12:21:03, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3395, top5_acc: 0.5995, loss_cls: 5.3241, loss: 5.3241 +2023-12-21 14:52:23,484 - pyskl - INFO - Epoch [84][600/1873] lr: 8.266e-02, eta: 12:20:25, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3392, top5_acc: 0.5991, loss_cls: 5.3240, loss: 5.3240 +2023-12-21 14:52:56,300 - pyskl - INFO - Epoch [84][700/1873] lr: 8.255e-02, eta: 12:19:48, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3406, top5_acc: 0.5948, loss_cls: 5.3649, loss: 5.3649 +2023-12-21 14:53:29,188 - pyskl - INFO - Epoch [84][800/1873] lr: 8.244e-02, eta: 12:19:10, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3286, top5_acc: 0.5977, loss_cls: 5.3456, loss: 5.3456 +2023-12-21 14:54:02,311 - pyskl - INFO - Epoch [84][900/1873] lr: 8.233e-02, eta: 12:18:32, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3349, top5_acc: 0.5938, loss_cls: 5.3521, loss: 5.3521 +2023-12-21 14:54:35,287 - pyskl - INFO - Epoch [84][1000/1873] lr: 8.222e-02, eta: 12:17:55, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3309, top5_acc: 0.5886, loss_cls: 5.3627, loss: 5.3627 +2023-12-21 14:55:08,297 - pyskl - INFO - Epoch [84][1100/1873] lr: 8.211e-02, eta: 12:17:17, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3396, top5_acc: 0.6016, loss_cls: 5.3142, loss: 5.3142 +2023-12-21 14:55:41,316 - pyskl - INFO - Epoch [84][1200/1873] lr: 8.200e-02, eta: 12:16:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3356, top5_acc: 0.5960, loss_cls: 5.3562, loss: 5.3562 +2023-12-21 14:56:14,478 - pyskl - INFO - Epoch [84][1300/1873] lr: 8.189e-02, eta: 12:16:02, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3260, top5_acc: 0.5852, loss_cls: 5.3825, loss: 5.3825 +2023-12-21 14:56:47,581 - pyskl - INFO - Epoch [84][1400/1873] lr: 8.178e-02, eta: 12:15:25, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3419, top5_acc: 0.5991, loss_cls: 5.3259, loss: 5.3259 +2023-12-21 14:57:20,851 - pyskl - INFO - Epoch [84][1500/1873] lr: 8.167e-02, eta: 12:14:47, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3316, top5_acc: 0.5888, loss_cls: 5.3740, loss: 5.3740 +2023-12-21 14:57:54,115 - pyskl - INFO - Epoch [84][1600/1873] lr: 8.156e-02, eta: 12:14:10, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3291, top5_acc: 0.5871, loss_cls: 5.3663, loss: 5.3663 +2023-12-21 14:58:27,485 - pyskl - INFO - Epoch [84][1700/1873] lr: 8.145e-02, eta: 12:13:33, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3403, top5_acc: 0.5972, loss_cls: 5.3241, loss: 5.3241 +2023-12-21 14:59:00,073 - pyskl - INFO - Epoch [84][1800/1873] lr: 8.134e-02, eta: 12:12:55, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3241, top5_acc: 0.5920, loss_cls: 5.3872, loss: 5.3872 +2023-12-21 14:59:27,745 - pyskl - INFO - Saving checkpoint at 84 epochs +2023-12-21 15:00:14,518 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 15:00:15,562 - pyskl - INFO - +top1_acc 0.2644 +top5_acc 0.5192 +2023-12-21 15:00:15,562 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 15:00:15,605 - pyskl - INFO - +mean_acc 0.2642 +2023-12-21 15:00:15,612 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_80.pth was removed +2023-12-21 15:00:15,847 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_84.pth. +2023-12-21 15:00:15,848 - pyskl - INFO - Best top1_acc is 0.2644 at 84 epoch. +2023-12-21 15:00:15,858 - pyskl - INFO - Epoch(val) [84][155] top1_acc: 0.2644, top5_acc: 0.5192, mean_class_accuracy: 0.2642 +2023-12-21 15:01:58,742 - pyskl - INFO - Epoch [85][100/1873] lr: 8.115e-02, eta: 12:12:26, time: 1.029, data_time: 0.696, memory: 8129, top1_acc: 0.3417, top5_acc: 0.6062, loss_cls: 5.2716, loss: 5.2716 +2023-12-21 15:02:31,681 - pyskl - INFO - Epoch [85][200/1873] lr: 8.104e-02, eta: 12:11:48, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3378, top5_acc: 0.5988, loss_cls: 5.3078, loss: 5.3078 +2023-12-21 15:03:04,800 - pyskl - INFO - Epoch [85][300/1873] lr: 8.093e-02, eta: 12:11:10, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3359, top5_acc: 0.5957, loss_cls: 5.3366, loss: 5.3366 +2023-12-21 15:03:38,174 - pyskl - INFO - Epoch [85][400/1873] lr: 8.082e-02, eta: 12:10:33, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3350, top5_acc: 0.5945, loss_cls: 5.3416, loss: 5.3416 +2023-12-21 15:04:11,240 - pyskl - INFO - Epoch [85][500/1873] lr: 8.071e-02, eta: 12:09:56, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3401, top5_acc: 0.6030, loss_cls: 5.3171, loss: 5.3171 +2023-12-21 15:04:44,323 - pyskl - INFO - Epoch [85][600/1873] lr: 8.060e-02, eta: 12:09:18, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3346, top5_acc: 0.5999, loss_cls: 5.3109, loss: 5.3109 +2023-12-21 15:05:17,420 - pyskl - INFO - Epoch [85][700/1873] lr: 8.049e-02, eta: 12:08:41, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3384, top5_acc: 0.6022, loss_cls: 5.3029, loss: 5.3029 +2023-12-21 15:05:50,639 - pyskl - INFO - Epoch [85][800/1873] lr: 8.039e-02, eta: 12:08:03, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3416, top5_acc: 0.6009, loss_cls: 5.3045, loss: 5.3045 +2023-12-21 15:06:23,888 - pyskl - INFO - Epoch [85][900/1873] lr: 8.028e-02, eta: 12:07:26, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3330, top5_acc: 0.5965, loss_cls: 5.3355, loss: 5.3355 +2023-12-21 15:06:57,111 - pyskl - INFO - Epoch [85][1000/1873] lr: 8.017e-02, eta: 12:06:49, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3377, top5_acc: 0.6009, loss_cls: 5.3032, loss: 5.3032 +2023-12-21 15:07:30,298 - pyskl - INFO - Epoch [85][1100/1873] lr: 8.006e-02, eta: 12:06:11, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3309, top5_acc: 0.5880, loss_cls: 5.3612, loss: 5.3612 +2023-12-21 15:08:03,498 - pyskl - INFO - Epoch [85][1200/1873] lr: 7.995e-02, eta: 12:05:34, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3352, top5_acc: 0.5956, loss_cls: 5.3490, loss: 5.3490 +2023-12-21 15:08:36,620 - pyskl - INFO - Epoch [85][1300/1873] lr: 7.984e-02, eta: 12:04:56, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3343, top5_acc: 0.5947, loss_cls: 5.3366, loss: 5.3366 +2023-12-21 15:09:09,887 - pyskl - INFO - Epoch [85][1400/1873] lr: 7.973e-02, eta: 12:04:19, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3393, top5_acc: 0.6017, loss_cls: 5.3310, loss: 5.3310 +2023-12-21 15:09:43,245 - pyskl - INFO - Epoch [85][1500/1873] lr: 7.962e-02, eta: 12:03:42, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3343, top5_acc: 0.5946, loss_cls: 5.3436, loss: 5.3436 +2023-12-21 15:10:16,689 - pyskl - INFO - Epoch [85][1600/1873] lr: 7.951e-02, eta: 12:03:05, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3264, top5_acc: 0.5909, loss_cls: 5.3685, loss: 5.3685 +2023-12-21 15:10:49,835 - pyskl - INFO - Epoch [85][1700/1873] lr: 7.940e-02, eta: 12:02:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3350, top5_acc: 0.5977, loss_cls: 5.3349, loss: 5.3349 +2023-12-21 15:11:22,658 - pyskl - INFO - Epoch [85][1800/1873] lr: 7.929e-02, eta: 12:01:49, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3344, top5_acc: 0.5923, loss_cls: 5.3500, loss: 5.3500 +2023-12-21 15:11:50,351 - pyskl - INFO - Saving checkpoint at 85 epochs +2023-12-21 15:12:36,426 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 15:12:37,486 - pyskl - INFO - +top1_acc 0.2656 +top5_acc 0.5195 +2023-12-21 15:12:37,486 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 15:12:37,529 - pyskl - INFO - +mean_acc 0.2654 +2023-12-21 15:12:37,535 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_84.pth was removed +2023-12-21 15:12:37,766 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_85.pth. +2023-12-21 15:12:37,767 - pyskl - INFO - Best top1_acc is 0.2656 at 85 epoch. +2023-12-21 15:12:37,778 - pyskl - INFO - Epoch(val) [85][155] top1_acc: 0.2656, top5_acc: 0.5195, mean_class_accuracy: 0.2654 +2023-12-21 15:14:21,830 - pyskl - INFO - Epoch [86][100/1873] lr: 7.910e-02, eta: 12:01:20, time: 1.040, data_time: 0.684, memory: 8129, top1_acc: 0.3419, top5_acc: 0.6128, loss_cls: 5.2722, loss: 5.2722 +2023-12-21 15:14:55,032 - pyskl - INFO - Epoch [86][200/1873] lr: 7.899e-02, eta: 12:00:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3425, top5_acc: 0.6041, loss_cls: 5.2920, loss: 5.2920 +2023-12-21 15:15:28,103 - pyskl - INFO - Epoch [86][300/1873] lr: 7.888e-02, eta: 12:00:06, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3398, top5_acc: 0.6010, loss_cls: 5.3039, loss: 5.3039 +2023-12-21 15:16:01,208 - pyskl - INFO - Epoch [86][400/1873] lr: 7.877e-02, eta: 11:59:28, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3377, top5_acc: 0.6020, loss_cls: 5.3101, loss: 5.3101 +2023-12-21 15:16:34,284 - pyskl - INFO - Epoch [86][500/1873] lr: 7.866e-02, eta: 11:58:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3379, top5_acc: 0.6010, loss_cls: 5.3127, loss: 5.3127 +2023-12-21 15:17:07,449 - pyskl - INFO - Epoch [86][600/1873] lr: 7.855e-02, eta: 11:58:13, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3370, top5_acc: 0.6033, loss_cls: 5.2845, loss: 5.2845 +2023-12-21 15:17:40,276 - pyskl - INFO - Epoch [86][700/1873] lr: 7.844e-02, eta: 11:57:36, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3404, top5_acc: 0.6019, loss_cls: 5.3040, loss: 5.3040 +2023-12-21 15:18:13,335 - pyskl - INFO - Epoch [86][800/1873] lr: 7.834e-02, eta: 11:56:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3395, top5_acc: 0.6032, loss_cls: 5.3017, loss: 5.3017 +2023-12-21 15:18:46,415 - pyskl - INFO - Epoch [86][900/1873] lr: 7.823e-02, eta: 11:56:21, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3412, top5_acc: 0.5988, loss_cls: 5.3200, loss: 5.3200 +2023-12-21 15:19:19,483 - pyskl - INFO - Epoch [86][1000/1873] lr: 7.812e-02, eta: 11:55:43, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3434, top5_acc: 0.6041, loss_cls: 5.2901, loss: 5.2901 +2023-12-21 15:19:52,498 - pyskl - INFO - Epoch [86][1100/1873] lr: 7.801e-02, eta: 11:55:06, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3376, top5_acc: 0.6007, loss_cls: 5.3088, loss: 5.3088 +2023-12-21 15:20:25,263 - pyskl - INFO - Epoch [86][1200/1873] lr: 7.790e-02, eta: 11:54:28, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3298, top5_acc: 0.5937, loss_cls: 5.3512, loss: 5.3512 +2023-12-21 15:20:58,066 - pyskl - INFO - Epoch [86][1300/1873] lr: 7.779e-02, eta: 11:53:50, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3397, top5_acc: 0.6062, loss_cls: 5.3150, loss: 5.3150 +2023-12-21 15:21:31,009 - pyskl - INFO - Epoch [86][1400/1873] lr: 7.768e-02, eta: 11:53:13, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3326, top5_acc: 0.5880, loss_cls: 5.3627, loss: 5.3627 +2023-12-21 15:22:03,769 - pyskl - INFO - Epoch [86][1500/1873] lr: 7.757e-02, eta: 11:52:35, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3385, top5_acc: 0.6030, loss_cls: 5.3195, loss: 5.3195 +2023-12-21 15:22:36,309 - pyskl - INFO - Epoch [86][1600/1873] lr: 7.746e-02, eta: 11:51:57, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3348, top5_acc: 0.5956, loss_cls: 5.3340, loss: 5.3340 +2023-12-21 15:23:08,969 - pyskl - INFO - Epoch [86][1700/1873] lr: 7.735e-02, eta: 11:51:20, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3287, top5_acc: 0.5895, loss_cls: 5.3548, loss: 5.3548 +2023-12-21 15:23:41,415 - pyskl - INFO - Epoch [86][1800/1873] lr: 7.725e-02, eta: 11:50:42, time: 0.324, data_time: 0.000, memory: 8129, top1_acc: 0.3380, top5_acc: 0.5952, loss_cls: 5.3318, loss: 5.3318 +2023-12-21 15:24:08,954 - pyskl - INFO - Saving checkpoint at 86 epochs +2023-12-21 15:24:55,267 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 15:24:55,983 - pyskl - INFO - +top1_acc 0.2841 +top5_acc 0.5356 +2023-12-21 15:24:55,984 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 15:24:56,018 - pyskl - INFO - +mean_acc 0.2840 +2023-12-21 15:24:56,023 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_85.pth was removed +2023-12-21 15:24:56,203 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. +2023-12-21 15:24:56,203 - pyskl - INFO - Best top1_acc is 0.2841 at 86 epoch. +2023-12-21 15:24:56,213 - pyskl - INFO - Epoch(val) [86][155] top1_acc: 0.2841, top5_acc: 0.5356, mean_class_accuracy: 0.2840 +2023-12-21 15:26:42,012 - pyskl - INFO - Epoch [87][100/1873] lr: 7.706e-02, eta: 11:50:13, time: 1.058, data_time: 0.687, memory: 8129, top1_acc: 0.3420, top5_acc: 0.6059, loss_cls: 5.2832, loss: 5.2832 +2023-12-21 15:27:14,832 - pyskl - INFO - Epoch [87][200/1873] lr: 7.695e-02, eta: 11:49:36, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3362, top5_acc: 0.6031, loss_cls: 5.2912, loss: 5.2912 +2023-12-21 15:27:47,572 - pyskl - INFO - Epoch [87][300/1873] lr: 7.684e-02, eta: 11:48:58, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3398, top5_acc: 0.6094, loss_cls: 5.2728, loss: 5.2728 +2023-12-21 15:28:20,543 - pyskl - INFO - Epoch [87][400/1873] lr: 7.673e-02, eta: 11:48:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3391, top5_acc: 0.6036, loss_cls: 5.3121, loss: 5.3121 +2023-12-21 15:28:53,630 - pyskl - INFO - Epoch [87][500/1873] lr: 7.662e-02, eta: 11:47:43, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3402, top5_acc: 0.6025, loss_cls: 5.3182, loss: 5.3182 +2023-12-21 15:29:26,478 - pyskl - INFO - Epoch [87][600/1873] lr: 7.651e-02, eta: 11:47:05, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3445, top5_acc: 0.6127, loss_cls: 5.2503, loss: 5.2503 +2023-12-21 15:29:59,249 - pyskl - INFO - Epoch [87][700/1873] lr: 7.640e-02, eta: 11:46:28, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3498, top5_acc: 0.6121, loss_cls: 5.2458, loss: 5.2458 +2023-12-21 15:30:32,180 - pyskl - INFO - Epoch [87][800/1873] lr: 7.630e-02, eta: 11:45:50, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3399, top5_acc: 0.5998, loss_cls: 5.3135, loss: 5.3135 +2023-12-21 15:31:04,887 - pyskl - INFO - Epoch [87][900/1873] lr: 7.619e-02, eta: 11:45:13, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3368, top5_acc: 0.5959, loss_cls: 5.3252, loss: 5.3252 +2023-12-21 15:31:37,827 - pyskl - INFO - Epoch [87][1000/1873] lr: 7.608e-02, eta: 11:44:35, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3364, top5_acc: 0.6023, loss_cls: 5.3187, loss: 5.3187 +2023-12-21 15:32:10,539 - pyskl - INFO - Epoch [87][1100/1873] lr: 7.597e-02, eta: 11:43:57, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3414, top5_acc: 0.6017, loss_cls: 5.3012, loss: 5.3012 +2023-12-21 15:32:43,296 - pyskl - INFO - Epoch [87][1200/1873] lr: 7.586e-02, eta: 11:43:20, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3462, top5_acc: 0.6066, loss_cls: 5.2924, loss: 5.2924 +2023-12-21 15:33:16,197 - pyskl - INFO - Epoch [87][1300/1873] lr: 7.575e-02, eta: 11:42:42, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3361, top5_acc: 0.5977, loss_cls: 5.3260, loss: 5.3260 +2023-12-21 15:33:48,900 - pyskl - INFO - Epoch [87][1400/1873] lr: 7.564e-02, eta: 11:42:05, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3357, top5_acc: 0.5948, loss_cls: 5.3230, loss: 5.3230 +2023-12-21 15:34:21,630 - pyskl - INFO - Epoch [87][1500/1873] lr: 7.554e-02, eta: 11:41:27, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3287, top5_acc: 0.5948, loss_cls: 5.3581, loss: 5.3581 +2023-12-21 15:34:54,213 - pyskl - INFO - Epoch [87][1600/1873] lr: 7.543e-02, eta: 11:40:49, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3348, top5_acc: 0.6031, loss_cls: 5.3163, loss: 5.3163 +2023-12-21 15:35:26,826 - pyskl - INFO - Epoch [87][1700/1873] lr: 7.532e-02, eta: 11:40:12, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3344, top5_acc: 0.5935, loss_cls: 5.3238, loss: 5.3238 +2023-12-21 15:35:59,297 - pyskl - INFO - Epoch [87][1800/1873] lr: 7.521e-02, eta: 11:39:34, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3449, top5_acc: 0.6059, loss_cls: 5.2746, loss: 5.2746 +2023-12-21 15:36:27,287 - pyskl - INFO - Saving checkpoint at 87 epochs +2023-12-21 15:37:13,418 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 15:37:14,462 - pyskl - INFO - +top1_acc 0.2844 +top5_acc 0.5409 +2023-12-21 15:37:14,462 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 15:37:14,504 - pyskl - INFO - +mean_acc 0.2842 +2023-12-21 15:37:14,510 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_86.pth was removed +2023-12-21 15:37:14,743 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. +2023-12-21 15:37:14,743 - pyskl - INFO - Best top1_acc is 0.2844 at 87 epoch. +2023-12-21 15:37:14,754 - pyskl - INFO - Epoch(val) [87][155] top1_acc: 0.2844, top5_acc: 0.5409, mean_class_accuracy: 0.2842 +2023-12-21 15:38:57,552 - pyskl - INFO - Epoch [88][100/1873] lr: 7.502e-02, eta: 11:39:02, time: 1.028, data_time: 0.696, memory: 8129, top1_acc: 0.3487, top5_acc: 0.6139, loss_cls: 5.2536, loss: 5.2536 +2023-12-21 15:39:30,457 - pyskl - INFO - Epoch [88][200/1873] lr: 7.492e-02, eta: 11:38:25, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3473, top5_acc: 0.6134, loss_cls: 5.2711, loss: 5.2711 +2023-12-21 15:40:03,287 - pyskl - INFO - Epoch [88][300/1873] lr: 7.481e-02, eta: 11:37:47, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3353, top5_acc: 0.5998, loss_cls: 5.3054, loss: 5.3054 +2023-12-21 15:40:36,104 - pyskl - INFO - Epoch [88][400/1873] lr: 7.470e-02, eta: 11:37:10, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3441, top5_acc: 0.6076, loss_cls: 5.2876, loss: 5.2876 +2023-12-21 15:41:09,006 - pyskl - INFO - Epoch [88][500/1873] lr: 7.459e-02, eta: 11:36:32, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3490, top5_acc: 0.6077, loss_cls: 5.2793, loss: 5.2793 +2023-12-21 15:41:41,830 - pyskl - INFO - Epoch [88][600/1873] lr: 7.448e-02, eta: 11:35:55, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3434, top5_acc: 0.5977, loss_cls: 5.2902, loss: 5.2902 +2023-12-21 15:42:14,557 - pyskl - INFO - Epoch [88][700/1873] lr: 7.437e-02, eta: 11:35:17, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3440, top5_acc: 0.6016, loss_cls: 5.2895, loss: 5.2895 +2023-12-21 15:42:47,222 - pyskl - INFO - Epoch [88][800/1873] lr: 7.427e-02, eta: 11:34:39, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3422, top5_acc: 0.6041, loss_cls: 5.2828, loss: 5.2828 +2023-12-21 15:43:19,949 - pyskl - INFO - Epoch [88][900/1873] lr: 7.416e-02, eta: 11:34:02, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3405, top5_acc: 0.6048, loss_cls: 5.2948, loss: 5.2948 +2023-12-21 15:43:52,716 - pyskl - INFO - Epoch [88][1000/1873] lr: 7.405e-02, eta: 11:33:24, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3429, top5_acc: 0.6067, loss_cls: 5.2952, loss: 5.2952 +2023-12-21 15:44:25,306 - pyskl - INFO - Epoch [88][1100/1873] lr: 7.394e-02, eta: 11:32:47, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3463, top5_acc: 0.6037, loss_cls: 5.2779, loss: 5.2779 +2023-12-21 15:44:57,947 - pyskl - INFO - Epoch [88][1200/1873] lr: 7.383e-02, eta: 11:32:09, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3416, top5_acc: 0.6032, loss_cls: 5.2962, loss: 5.2962 +2023-12-21 15:45:30,440 - pyskl - INFO - Epoch [88][1300/1873] lr: 7.373e-02, eta: 11:31:31, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3343, top5_acc: 0.6030, loss_cls: 5.3082, loss: 5.3082 +2023-12-21 15:46:02,970 - pyskl - INFO - Epoch [88][1400/1873] lr: 7.362e-02, eta: 11:30:53, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3467, top5_acc: 0.6024, loss_cls: 5.2888, loss: 5.2888 +2023-12-21 15:46:35,588 - pyskl - INFO - Epoch [88][1500/1873] lr: 7.351e-02, eta: 11:30:16, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3376, top5_acc: 0.5942, loss_cls: 5.3302, loss: 5.3302 +2023-12-21 15:47:08,087 - pyskl - INFO - Epoch [88][1600/1873] lr: 7.340e-02, eta: 11:29:38, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3420, top5_acc: 0.6040, loss_cls: 5.2841, loss: 5.2841 +2023-12-21 15:47:40,653 - pyskl - INFO - Epoch [88][1700/1873] lr: 7.330e-02, eta: 11:29:00, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3395, top5_acc: 0.6096, loss_cls: 5.2819, loss: 5.2819 +2023-12-21 15:48:12,983 - pyskl - INFO - Epoch [88][1800/1873] lr: 7.319e-02, eta: 11:28:23, time: 0.323, data_time: 0.000, memory: 8129, top1_acc: 0.3416, top5_acc: 0.6105, loss_cls: 5.2741, loss: 5.2741 +2023-12-21 15:48:40,696 - pyskl - INFO - Saving checkpoint at 88 epochs +2023-12-21 15:49:28,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 15:49:28,782 - pyskl - INFO - +top1_acc 0.2563 +top5_acc 0.5092 +2023-12-21 15:49:28,782 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 15:49:28,817 - pyskl - INFO - +mean_acc 0.2562 +2023-12-21 15:49:28,827 - pyskl - INFO - Epoch(val) [88][155] top1_acc: 0.2563, top5_acc: 0.5092, mean_class_accuracy: 0.2562 +2023-12-21 15:51:11,927 - pyskl - INFO - Epoch [89][100/1873] lr: 7.300e-02, eta: 11:27:50, time: 1.031, data_time: 0.702, memory: 8129, top1_acc: 0.3515, top5_acc: 0.6184, loss_cls: 5.2058, loss: 5.2058 +2023-12-21 15:51:44,813 - pyskl - INFO - Epoch [89][200/1873] lr: 7.289e-02, eta: 11:27:13, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3436, top5_acc: 0.6108, loss_cls: 5.2539, loss: 5.2539 +2023-12-21 15:52:17,579 - pyskl - INFO - Epoch [89][300/1873] lr: 7.279e-02, eta: 11:26:35, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3497, top5_acc: 0.6137, loss_cls: 5.2358, loss: 5.2358 +2023-12-21 15:52:50,589 - pyskl - INFO - Epoch [89][400/1873] lr: 7.268e-02, eta: 11:25:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3530, top5_acc: 0.6140, loss_cls: 5.2457, loss: 5.2457 +2023-12-21 15:53:23,362 - pyskl - INFO - Epoch [89][500/1873] lr: 7.257e-02, eta: 11:25:21, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3438, top5_acc: 0.6094, loss_cls: 5.2800, loss: 5.2800 +2023-12-21 15:53:56,488 - pyskl - INFO - Epoch [89][600/1873] lr: 7.246e-02, eta: 11:24:43, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3452, top5_acc: 0.6083, loss_cls: 5.2881, loss: 5.2881 +2023-12-21 15:54:29,401 - pyskl - INFO - Epoch [89][700/1873] lr: 7.236e-02, eta: 11:24:06, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3502, top5_acc: 0.6074, loss_cls: 5.2670, loss: 5.2670 +2023-12-21 15:55:02,159 - pyskl - INFO - Epoch [89][800/1873] lr: 7.225e-02, eta: 11:23:28, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3466, top5_acc: 0.6041, loss_cls: 5.2884, loss: 5.2884 +2023-12-21 15:55:35,247 - pyskl - INFO - Epoch [89][900/1873] lr: 7.214e-02, eta: 11:22:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3486, top5_acc: 0.6052, loss_cls: 5.2651, loss: 5.2651 +2023-12-21 15:56:07,979 - pyskl - INFO - Epoch [89][1000/1873] lr: 7.203e-02, eta: 11:22:14, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3514, top5_acc: 0.6080, loss_cls: 5.2772, loss: 5.2772 +2023-12-21 15:56:40,820 - pyskl - INFO - Epoch [89][1100/1873] lr: 7.193e-02, eta: 11:21:36, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3404, top5_acc: 0.5973, loss_cls: 5.3066, loss: 5.3066 +2023-12-21 15:57:13,689 - pyskl - INFO - Epoch [89][1200/1873] lr: 7.182e-02, eta: 11:20:59, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3444, top5_acc: 0.6041, loss_cls: 5.3074, loss: 5.3074 +2023-12-21 15:57:46,515 - pyskl - INFO - Epoch [89][1300/1873] lr: 7.171e-02, eta: 11:20:21, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3412, top5_acc: 0.6104, loss_cls: 5.2810, loss: 5.2810 +2023-12-21 15:58:19,274 - pyskl - INFO - Epoch [89][1400/1873] lr: 7.160e-02, eta: 11:19:44, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3402, top5_acc: 0.6066, loss_cls: 5.2920, loss: 5.2920 +2023-12-21 15:58:52,049 - pyskl - INFO - Epoch [89][1500/1873] lr: 7.150e-02, eta: 11:19:06, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3420, top5_acc: 0.6041, loss_cls: 5.2982, loss: 5.2982 +2023-12-21 15:59:24,987 - pyskl - INFO - Epoch [89][1600/1873] lr: 7.139e-02, eta: 11:18:29, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3452, top5_acc: 0.6087, loss_cls: 5.2684, loss: 5.2684 +2023-12-21 15:59:57,889 - pyskl - INFO - Epoch [89][1700/1873] lr: 7.128e-02, eta: 11:17:52, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3345, top5_acc: 0.5990, loss_cls: 5.3103, loss: 5.3103 +2023-12-21 16:00:30,551 - pyskl - INFO - Epoch [89][1800/1873] lr: 7.118e-02, eta: 11:17:14, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3445, top5_acc: 0.6038, loss_cls: 5.2783, loss: 5.2783 +2023-12-21 16:00:58,239 - pyskl - INFO - Saving checkpoint at 89 epochs +2023-12-21 16:01:45,971 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 16:01:46,747 - pyskl - INFO - +top1_acc 0.2856 +top5_acc 0.5392 +2023-12-21 16:01:46,747 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 16:01:46,785 - pyskl - INFO - +mean_acc 0.2854 +2023-12-21 16:01:46,789 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_87.pth was removed +2023-12-21 16:01:46,966 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. +2023-12-21 16:01:46,967 - pyskl - INFO - Best top1_acc is 0.2856 at 89 epoch. +2023-12-21 16:01:46,978 - pyskl - INFO - Epoch(val) [89][155] top1_acc: 0.2856, top5_acc: 0.5392, mean_class_accuracy: 0.2854 +2023-12-21 16:03:30,241 - pyskl - INFO - Epoch [90][100/1873] lr: 7.099e-02, eta: 11:16:41, time: 1.032, data_time: 0.703, memory: 8129, top1_acc: 0.3541, top5_acc: 0.6188, loss_cls: 5.2295, loss: 5.2295 +2023-12-21 16:04:02,900 - pyskl - INFO - Epoch [90][200/1873] lr: 7.088e-02, eta: 11:16:04, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3447, top5_acc: 0.6095, loss_cls: 5.2575, loss: 5.2575 +2023-12-21 16:04:35,443 - pyskl - INFO - Epoch [90][300/1873] lr: 7.078e-02, eta: 11:15:26, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3504, top5_acc: 0.6179, loss_cls: 5.2263, loss: 5.2263 +2023-12-21 16:05:08,090 - pyskl - INFO - Epoch [90][400/1873] lr: 7.067e-02, eta: 11:14:48, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3468, top5_acc: 0.6037, loss_cls: 5.2788, loss: 5.2788 +2023-12-21 16:05:40,585 - pyskl - INFO - Epoch [90][500/1873] lr: 7.056e-02, eta: 11:14:11, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3478, top5_acc: 0.6113, loss_cls: 5.2507, loss: 5.2507 +2023-12-21 16:06:13,204 - pyskl - INFO - Epoch [90][600/1873] lr: 7.046e-02, eta: 11:13:33, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3486, top5_acc: 0.6141, loss_cls: 5.2280, loss: 5.2280 +2023-12-21 16:06:45,905 - pyskl - INFO - Epoch [90][700/1873] lr: 7.035e-02, eta: 11:12:56, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3497, top5_acc: 0.6112, loss_cls: 5.2528, loss: 5.2528 +2023-12-21 16:07:18,669 - pyskl - INFO - Epoch [90][800/1873] lr: 7.024e-02, eta: 11:12:18, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3497, top5_acc: 0.6107, loss_cls: 5.2574, loss: 5.2574 +2023-12-21 16:07:51,317 - pyskl - INFO - Epoch [90][900/1873] lr: 7.014e-02, eta: 11:11:41, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3511, top5_acc: 0.6072, loss_cls: 5.2870, loss: 5.2870 +2023-12-21 16:08:24,063 - pyskl - INFO - Epoch [90][1000/1873] lr: 7.003e-02, eta: 11:11:03, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3459, top5_acc: 0.6029, loss_cls: 5.2998, loss: 5.2998 +2023-12-21 16:08:56,897 - pyskl - INFO - Epoch [90][1100/1873] lr: 6.992e-02, eta: 11:10:26, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3434, top5_acc: 0.6066, loss_cls: 5.2840, loss: 5.2840 +2023-12-21 16:09:29,563 - pyskl - INFO - Epoch [90][1200/1873] lr: 6.982e-02, eta: 11:09:48, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3454, top5_acc: 0.6055, loss_cls: 5.2609, loss: 5.2609 +2023-12-21 16:10:02,104 - pyskl - INFO - Epoch [90][1300/1873] lr: 6.971e-02, eta: 11:09:11, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3423, top5_acc: 0.6093, loss_cls: 5.2736, loss: 5.2736 +2023-12-21 16:10:34,666 - pyskl - INFO - Epoch [90][1400/1873] lr: 6.960e-02, eta: 11:08:33, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3483, top5_acc: 0.6063, loss_cls: 5.2573, loss: 5.2573 +2023-12-21 16:11:07,251 - pyskl - INFO - Epoch [90][1500/1873] lr: 6.950e-02, eta: 11:07:56, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3459, top5_acc: 0.6057, loss_cls: 5.2814, loss: 5.2814 +2023-12-21 16:11:39,876 - pyskl - INFO - Epoch [90][1600/1873] lr: 6.939e-02, eta: 11:07:18, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3474, top5_acc: 0.6127, loss_cls: 5.2557, loss: 5.2557 +2023-12-21 16:12:12,507 - pyskl - INFO - Epoch [90][1700/1873] lr: 6.928e-02, eta: 11:06:41, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3499, top5_acc: 0.6121, loss_cls: 5.2543, loss: 5.2543 +2023-12-21 16:12:45,132 - pyskl - INFO - Epoch [90][1800/1873] lr: 6.918e-02, eta: 11:06:03, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3480, top5_acc: 0.6153, loss_cls: 5.2539, loss: 5.2539 +2023-12-21 16:13:12,576 - pyskl - INFO - Saving checkpoint at 90 epochs +2023-12-21 16:13:58,016 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 16:13:58,744 - pyskl - INFO - +top1_acc 0.3005 +top5_acc 0.5618 +2023-12-21 16:13:58,744 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 16:13:58,778 - pyskl - INFO - +mean_acc 0.3002 +2023-12-21 16:13:58,782 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_89.pth was removed +2023-12-21 16:13:58,956 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_90.pth. +2023-12-21 16:13:58,957 - pyskl - INFO - Best top1_acc is 0.3005 at 90 epoch. +2023-12-21 16:13:58,967 - pyskl - INFO - Epoch(val) [90][155] top1_acc: 0.3005, top5_acc: 0.5618, mean_class_accuracy: 0.3002 +2023-12-21 16:15:40,339 - pyskl - INFO - Epoch [91][100/1873] lr: 6.899e-02, eta: 11:05:28, time: 1.014, data_time: 0.685, memory: 8129, top1_acc: 0.3633, top5_acc: 0.6223, loss_cls: 5.2180, loss: 5.2180 +2023-12-21 16:16:13,150 - pyskl - INFO - Epoch [91][200/1873] lr: 6.889e-02, eta: 11:04:51, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3559, top5_acc: 0.6187, loss_cls: 5.2301, loss: 5.2301 +2023-12-21 16:16:45,948 - pyskl - INFO - Epoch [91][300/1873] lr: 6.878e-02, eta: 11:04:14, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3570, top5_acc: 0.6211, loss_cls: 5.2148, loss: 5.2148 +2023-12-21 16:17:18,589 - pyskl - INFO - Epoch [91][400/1873] lr: 6.867e-02, eta: 11:03:36, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3513, top5_acc: 0.6077, loss_cls: 5.2640, loss: 5.2640 +2023-12-21 16:17:51,305 - pyskl - INFO - Epoch [91][500/1873] lr: 6.857e-02, eta: 11:02:59, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3477, top5_acc: 0.6069, loss_cls: 5.2519, loss: 5.2519 +2023-12-21 16:18:24,060 - pyskl - INFO - Epoch [91][600/1873] lr: 6.846e-02, eta: 11:02:21, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3540, top5_acc: 0.6083, loss_cls: 5.2443, loss: 5.2443 +2023-12-21 16:18:56,767 - pyskl - INFO - Epoch [91][700/1873] lr: 6.836e-02, eta: 11:01:44, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3456, top5_acc: 0.6089, loss_cls: 5.2619, loss: 5.2619 +2023-12-21 16:19:29,234 - pyskl - INFO - Epoch [91][800/1873] lr: 6.825e-02, eta: 11:01:06, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3503, top5_acc: 0.6068, loss_cls: 5.2793, loss: 5.2793 +2023-12-21 16:20:01,931 - pyskl - INFO - Epoch [91][900/1873] lr: 6.814e-02, eta: 11:00:29, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3483, top5_acc: 0.6116, loss_cls: 5.2518, loss: 5.2518 +2023-12-21 16:20:34,680 - pyskl - INFO - Epoch [91][1000/1873] lr: 6.804e-02, eta: 10:59:51, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3501, top5_acc: 0.6086, loss_cls: 5.2408, loss: 5.2408 +2023-12-21 16:21:07,460 - pyskl - INFO - Epoch [91][1100/1873] lr: 6.793e-02, eta: 10:59:14, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3387, top5_acc: 0.6132, loss_cls: 5.2634, loss: 5.2634 +2023-12-21 16:21:40,035 - pyskl - INFO - Epoch [91][1200/1873] lr: 6.783e-02, eta: 10:58:37, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3427, top5_acc: 0.6123, loss_cls: 5.2633, loss: 5.2633 +2023-12-21 16:22:12,579 - pyskl - INFO - Epoch [91][1300/1873] lr: 6.772e-02, eta: 10:57:59, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3587, top5_acc: 0.6141, loss_cls: 5.2157, loss: 5.2157 +2023-12-21 16:22:45,163 - pyskl - INFO - Epoch [91][1400/1873] lr: 6.761e-02, eta: 10:57:22, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3490, top5_acc: 0.6110, loss_cls: 5.2562, loss: 5.2562 +2023-12-21 16:23:17,698 - pyskl - INFO - Epoch [91][1500/1873] lr: 6.751e-02, eta: 10:56:44, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3488, top5_acc: 0.6097, loss_cls: 5.2623, loss: 5.2623 +2023-12-21 16:23:50,282 - pyskl - INFO - Epoch [91][1600/1873] lr: 6.740e-02, eta: 10:56:07, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3402, top5_acc: 0.6025, loss_cls: 5.2887, loss: 5.2887 +2023-12-21 16:24:22,974 - pyskl - INFO - Epoch [91][1700/1873] lr: 6.730e-02, eta: 10:55:29, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3540, top5_acc: 0.6198, loss_cls: 5.2274, loss: 5.2274 +2023-12-21 16:24:55,535 - pyskl - INFO - Epoch [91][1800/1873] lr: 6.719e-02, eta: 10:54:52, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3470, top5_acc: 0.6093, loss_cls: 5.2580, loss: 5.2580 +2023-12-21 16:25:23,423 - pyskl - INFO - Saving checkpoint at 91 epochs +2023-12-21 16:26:10,349 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 16:26:11,408 - pyskl - INFO - +top1_acc 0.2647 +top5_acc 0.5096 +2023-12-21 16:26:11,408 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 16:26:11,452 - pyskl - INFO - +mean_acc 0.2646 +2023-12-21 16:26:11,464 - pyskl - INFO - Epoch(val) [91][155] top1_acc: 0.2647, top5_acc: 0.5096, mean_class_accuracy: 0.2646 +2023-12-21 16:27:52,043 - pyskl - INFO - Epoch [92][100/1873] lr: 6.701e-02, eta: 10:54:16, time: 1.006, data_time: 0.680, memory: 8129, top1_acc: 0.3638, top5_acc: 0.6181, loss_cls: 5.2030, loss: 5.2030 +2023-12-21 16:28:24,656 - pyskl - INFO - Epoch [92][200/1873] lr: 6.690e-02, eta: 10:53:38, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3473, top5_acc: 0.6156, loss_cls: 5.2212, loss: 5.2212 +2023-12-21 16:28:57,352 - pyskl - INFO - Epoch [92][300/1873] lr: 6.680e-02, eta: 10:53:01, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3492, top5_acc: 0.6155, loss_cls: 5.2403, loss: 5.2403 +2023-12-21 16:29:30,055 - pyskl - INFO - Epoch [92][400/1873] lr: 6.669e-02, eta: 10:52:23, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3570, top5_acc: 0.6143, loss_cls: 5.2084, loss: 5.2084 +2023-12-21 16:30:02,732 - pyskl - INFO - Epoch [92][500/1873] lr: 6.659e-02, eta: 10:51:46, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3571, top5_acc: 0.6212, loss_cls: 5.2177, loss: 5.2177 +2023-12-21 16:30:35,361 - pyskl - INFO - Epoch [92][600/1873] lr: 6.648e-02, eta: 10:51:09, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3514, top5_acc: 0.6134, loss_cls: 5.2425, loss: 5.2425 +2023-12-21 16:31:07,994 - pyskl - INFO - Epoch [92][700/1873] lr: 6.638e-02, eta: 10:50:31, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3602, top5_acc: 0.6200, loss_cls: 5.2063, loss: 5.2063 +2023-12-21 16:31:40,502 - pyskl - INFO - Epoch [92][800/1873] lr: 6.627e-02, eta: 10:49:54, time: 0.325, data_time: 0.000, memory: 8129, top1_acc: 0.3492, top5_acc: 0.6177, loss_cls: 5.2432, loss: 5.2432 +2023-12-21 16:32:13,202 - pyskl - INFO - Epoch [92][900/1873] lr: 6.617e-02, eta: 10:49:16, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3546, top5_acc: 0.6199, loss_cls: 5.2090, loss: 5.2090 +2023-12-21 16:32:45,888 - pyskl - INFO - Epoch [92][1000/1873] lr: 6.606e-02, eta: 10:48:39, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3420, top5_acc: 0.6075, loss_cls: 5.2796, loss: 5.2796 +2023-12-21 16:33:18,645 - pyskl - INFO - Epoch [92][1100/1873] lr: 6.596e-02, eta: 10:48:02, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3570, top5_acc: 0.6154, loss_cls: 5.2150, loss: 5.2150 +2023-12-21 16:33:51,305 - pyskl - INFO - Epoch [92][1200/1873] lr: 6.585e-02, eta: 10:47:24, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3533, top5_acc: 0.6115, loss_cls: 5.2500, loss: 5.2500 +2023-12-21 16:34:24,093 - pyskl - INFO - Epoch [92][1300/1873] lr: 6.575e-02, eta: 10:46:47, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3501, top5_acc: 0.6155, loss_cls: 5.2542, loss: 5.2542 +2023-12-21 16:34:56,807 - pyskl - INFO - Epoch [92][1400/1873] lr: 6.564e-02, eta: 10:46:10, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3504, top5_acc: 0.6188, loss_cls: 5.2292, loss: 5.2292 +2023-12-21 16:35:29,432 - pyskl - INFO - Epoch [92][1500/1873] lr: 6.554e-02, eta: 10:45:32, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3589, top5_acc: 0.6124, loss_cls: 5.2306, loss: 5.2306 +2023-12-21 16:36:02,100 - pyskl - INFO - Epoch [92][1600/1873] lr: 6.543e-02, eta: 10:44:55, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3470, top5_acc: 0.6086, loss_cls: 5.2598, loss: 5.2598 +2023-12-21 16:36:34,686 - pyskl - INFO - Epoch [92][1700/1873] lr: 6.533e-02, eta: 10:44:17, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3514, top5_acc: 0.6118, loss_cls: 5.2517, loss: 5.2517 +2023-12-21 16:37:07,286 - pyskl - INFO - Epoch [92][1800/1873] lr: 6.522e-02, eta: 10:43:40, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3530, top5_acc: 0.6067, loss_cls: 5.2399, loss: 5.2399 +2023-12-21 16:37:35,784 - pyskl - INFO - Saving checkpoint at 92 epochs +2023-12-21 16:38:21,711 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 16:38:22,525 - pyskl - INFO - +top1_acc 0.2899 +top5_acc 0.5442 +2023-12-21 16:38:22,525 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 16:38:22,585 - pyskl - INFO - +mean_acc 0.2896 +2023-12-21 16:38:22,596 - pyskl - INFO - Epoch(val) [92][155] top1_acc: 0.2899, top5_acc: 0.5442, mean_class_accuracy: 0.2896 +2023-12-21 16:40:07,074 - pyskl - INFO - Epoch [93][100/1873] lr: 6.504e-02, eta: 10:43:06, time: 1.045, data_time: 0.715, memory: 8129, top1_acc: 0.3695, top5_acc: 0.6305, loss_cls: 5.1480, loss: 5.1480 +2023-12-21 16:40:40,018 - pyskl - INFO - Epoch [93][200/1873] lr: 6.493e-02, eta: 10:42:29, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3553, top5_acc: 0.6196, loss_cls: 5.2202, loss: 5.2202 +2023-12-21 16:41:12,983 - pyskl - INFO - Epoch [93][300/1873] lr: 6.483e-02, eta: 10:41:51, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3592, top5_acc: 0.6193, loss_cls: 5.2088, loss: 5.2088 +2023-12-21 16:41:45,859 - pyskl - INFO - Epoch [93][400/1873] lr: 6.472e-02, eta: 10:41:14, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3558, top5_acc: 0.6225, loss_cls: 5.2196, loss: 5.2196 +2023-12-21 16:42:18,802 - pyskl - INFO - Epoch [93][500/1873] lr: 6.462e-02, eta: 10:40:37, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3622, top5_acc: 0.6203, loss_cls: 5.2047, loss: 5.2047 +2023-12-21 16:42:51,686 - pyskl - INFO - Epoch [93][600/1873] lr: 6.452e-02, eta: 10:40:00, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3541, top5_acc: 0.6190, loss_cls: 5.2211, loss: 5.2211 +2023-12-21 16:43:24,578 - pyskl - INFO - Epoch [93][700/1873] lr: 6.441e-02, eta: 10:39:23, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3538, top5_acc: 0.6197, loss_cls: 5.2196, loss: 5.2196 +2023-12-21 16:43:57,426 - pyskl - INFO - Epoch [93][800/1873] lr: 6.431e-02, eta: 10:38:45, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3561, top5_acc: 0.6134, loss_cls: 5.2079, loss: 5.2079 +2023-12-21 16:44:30,297 - pyskl - INFO - Epoch [93][900/1873] lr: 6.420e-02, eta: 10:38:08, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3540, top5_acc: 0.6160, loss_cls: 5.2253, loss: 5.2253 +2023-12-21 16:45:03,181 - pyskl - INFO - Epoch [93][1000/1873] lr: 6.410e-02, eta: 10:37:31, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3485, top5_acc: 0.6145, loss_cls: 5.2421, loss: 5.2421 +2023-12-21 16:45:36,146 - pyskl - INFO - Epoch [93][1100/1873] lr: 6.399e-02, eta: 10:36:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3641, top5_acc: 0.6248, loss_cls: 5.1676, loss: 5.1676 +2023-12-21 16:46:08,778 - pyskl - INFO - Epoch [93][1200/1873] lr: 6.389e-02, eta: 10:36:16, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.3541, top5_acc: 0.6067, loss_cls: 5.2517, loss: 5.2517 +2023-12-21 16:46:41,614 - pyskl - INFO - Epoch [93][1300/1873] lr: 6.379e-02, eta: 10:35:39, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3448, top5_acc: 0.6141, loss_cls: 5.2459, loss: 5.2459 +2023-12-21 16:47:14,396 - pyskl - INFO - Epoch [93][1400/1873] lr: 6.368e-02, eta: 10:35:02, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3527, top5_acc: 0.6167, loss_cls: 5.2375, loss: 5.2375 +2023-12-21 16:47:47,338 - pyskl - INFO - Epoch [93][1500/1873] lr: 6.358e-02, eta: 10:34:25, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3542, top5_acc: 0.6191, loss_cls: 5.2171, loss: 5.2171 +2023-12-21 16:48:20,297 - pyskl - INFO - Epoch [93][1600/1873] lr: 6.347e-02, eta: 10:33:48, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3557, top5_acc: 0.6223, loss_cls: 5.2224, loss: 5.2224 +2023-12-21 16:48:52,971 - pyskl - INFO - Epoch [93][1700/1873] lr: 6.337e-02, eta: 10:33:10, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3548, top5_acc: 0.6105, loss_cls: 5.2437, loss: 5.2437 +2023-12-21 16:49:25,650 - pyskl - INFO - Epoch [93][1800/1873] lr: 6.326e-02, eta: 10:32:33, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.3623, top5_acc: 0.6195, loss_cls: 5.2130, loss: 5.2130 +2023-12-21 16:49:54,389 - pyskl - INFO - Saving checkpoint at 93 epochs +2023-12-21 16:50:41,636 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 16:50:42,429 - pyskl - INFO - +top1_acc 0.2927 +top5_acc 0.5519 +2023-12-21 16:50:42,429 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 16:50:42,467 - pyskl - INFO - +mean_acc 0.2924 +2023-12-21 16:50:42,480 - pyskl - INFO - Epoch(val) [93][155] top1_acc: 0.2927, top5_acc: 0.5519, mean_class_accuracy: 0.2924 +2023-12-21 16:52:24,503 - pyskl - INFO - Epoch [94][100/1873] lr: 6.308e-02, eta: 10:31:57, time: 1.020, data_time: 0.670, memory: 8129, top1_acc: 0.3698, top5_acc: 0.6302, loss_cls: 5.1417, loss: 5.1417 +2023-12-21 16:52:57,282 - pyskl - INFO - Epoch [94][200/1873] lr: 6.298e-02, eta: 10:31:19, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3584, top5_acc: 0.6218, loss_cls: 5.2203, loss: 5.2203 +2023-12-21 16:53:30,167 - pyskl - INFO - Epoch [94][300/1873] lr: 6.288e-02, eta: 10:30:42, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3576, top5_acc: 0.6238, loss_cls: 5.1689, loss: 5.1689 +2023-12-21 16:54:03,209 - pyskl - INFO - Epoch [94][400/1873] lr: 6.277e-02, eta: 10:30:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3568, top5_acc: 0.6221, loss_cls: 5.1950, loss: 5.1950 +2023-12-21 16:54:36,168 - pyskl - INFO - Epoch [94][500/1873] lr: 6.267e-02, eta: 10:29:28, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3538, top5_acc: 0.6168, loss_cls: 5.2194, loss: 5.2194 +2023-12-21 16:55:09,213 - pyskl - INFO - Epoch [94][600/1873] lr: 6.257e-02, eta: 10:28:51, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3569, top5_acc: 0.6230, loss_cls: 5.2172, loss: 5.2172 +2023-12-21 16:55:42,155 - pyskl - INFO - Epoch [94][700/1873] lr: 6.246e-02, eta: 10:28:14, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3529, top5_acc: 0.6187, loss_cls: 5.2089, loss: 5.2089 +2023-12-21 16:56:15,018 - pyskl - INFO - Epoch [94][800/1873] lr: 6.236e-02, eta: 10:27:37, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3576, top5_acc: 0.6166, loss_cls: 5.2214, loss: 5.2214 +2023-12-21 16:56:48,110 - pyskl - INFO - Epoch [94][900/1873] lr: 6.225e-02, eta: 10:27:00, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3498, top5_acc: 0.6141, loss_cls: 5.2321, loss: 5.2321 +2023-12-21 16:57:21,102 - pyskl - INFO - Epoch [94][1000/1873] lr: 6.215e-02, eta: 10:26:23, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3607, top5_acc: 0.6184, loss_cls: 5.2001, loss: 5.2001 +2023-12-21 16:57:53,991 - pyskl - INFO - Epoch [94][1100/1873] lr: 6.205e-02, eta: 10:25:45, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3589, top5_acc: 0.6198, loss_cls: 5.2096, loss: 5.2096 +2023-12-21 16:58:26,752 - pyskl - INFO - Epoch [94][1200/1873] lr: 6.194e-02, eta: 10:25:08, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3620, top5_acc: 0.6235, loss_cls: 5.1753, loss: 5.1753 +2023-12-21 16:58:59,653 - pyskl - INFO - Epoch [94][1300/1873] lr: 6.184e-02, eta: 10:24:31, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3559, top5_acc: 0.6160, loss_cls: 5.2189, loss: 5.2189 +2023-12-21 16:59:32,627 - pyskl - INFO - Epoch [94][1400/1873] lr: 6.174e-02, eta: 10:23:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3573, top5_acc: 0.6217, loss_cls: 5.1970, loss: 5.1970 +2023-12-21 17:00:05,545 - pyskl - INFO - Epoch [94][1500/1873] lr: 6.163e-02, eta: 10:23:17, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3605, top5_acc: 0.6215, loss_cls: 5.2007, loss: 5.2007 +2023-12-21 17:00:38,544 - pyskl - INFO - Epoch [94][1600/1873] lr: 6.153e-02, eta: 10:22:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3552, top5_acc: 0.6166, loss_cls: 5.2250, loss: 5.2250 +2023-12-21 17:01:11,377 - pyskl - INFO - Epoch [94][1700/1873] lr: 6.143e-02, eta: 10:22:03, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3571, top5_acc: 0.6127, loss_cls: 5.2259, loss: 5.2259 +2023-12-21 17:01:44,298 - pyskl - INFO - Epoch [94][1800/1873] lr: 6.132e-02, eta: 10:21:26, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3539, top5_acc: 0.6234, loss_cls: 5.1943, loss: 5.1943 +2023-12-21 17:02:12,209 - pyskl - INFO - Saving checkpoint at 94 epochs +2023-12-21 17:02:57,146 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 17:02:57,860 - pyskl - INFO - +top1_acc 0.3026 +top5_acc 0.5572 +2023-12-21 17:02:57,860 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 17:02:57,901 - pyskl - INFO - +mean_acc 0.3024 +2023-12-21 17:02:57,907 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_90.pth was removed +2023-12-21 17:02:58,389 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. +2023-12-21 17:02:58,389 - pyskl - INFO - Best top1_acc is 0.3026 at 94 epoch. +2023-12-21 17:02:58,402 - pyskl - INFO - Epoch(val) [94][155] top1_acc: 0.3026, top5_acc: 0.5572, mean_class_accuracy: 0.3024 +2023-12-21 17:04:44,278 - pyskl - INFO - Epoch [95][100/1873] lr: 6.115e-02, eta: 10:20:51, time: 1.059, data_time: 0.726, memory: 8129, top1_acc: 0.3703, top5_acc: 0.6356, loss_cls: 5.1220, loss: 5.1220 +2023-12-21 17:05:17,379 - pyskl - INFO - Epoch [95][200/1873] lr: 6.104e-02, eta: 10:20:14, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3673, top5_acc: 0.6284, loss_cls: 5.1550, loss: 5.1550 +2023-12-21 17:05:50,432 - pyskl - INFO - Epoch [95][300/1873] lr: 6.094e-02, eta: 10:19:37, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3548, top5_acc: 0.6148, loss_cls: 5.2159, loss: 5.2159 +2023-12-21 17:06:23,742 - pyskl - INFO - Epoch [95][400/1873] lr: 6.084e-02, eta: 10:19:00, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3578, top5_acc: 0.6195, loss_cls: 5.1954, loss: 5.1954 +2023-12-21 17:06:57,020 - pyskl - INFO - Epoch [95][500/1873] lr: 6.073e-02, eta: 10:18:23, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3621, top5_acc: 0.6228, loss_cls: 5.1839, loss: 5.1839 +2023-12-21 17:07:30,194 - pyskl - INFO - Epoch [95][600/1873] lr: 6.063e-02, eta: 10:17:46, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3688, top5_acc: 0.6277, loss_cls: 5.1562, loss: 5.1562 +2023-12-21 17:08:03,686 - pyskl - INFO - Epoch [95][700/1873] lr: 6.053e-02, eta: 10:17:09, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.3623, top5_acc: 0.6214, loss_cls: 5.2130, loss: 5.2130 +2023-12-21 17:08:36,813 - pyskl - INFO - Epoch [95][800/1873] lr: 6.043e-02, eta: 10:16:32, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3632, top5_acc: 0.6294, loss_cls: 5.1732, loss: 5.1732 +2023-12-21 17:09:09,925 - pyskl - INFO - Epoch [95][900/1873] lr: 6.032e-02, eta: 10:15:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3602, top5_acc: 0.6290, loss_cls: 5.1738, loss: 5.1738 +2023-12-21 17:09:43,102 - pyskl - INFO - Epoch [95][1000/1873] lr: 6.022e-02, eta: 10:15:18, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3617, top5_acc: 0.6230, loss_cls: 5.1927, loss: 5.1927 +2023-12-21 17:10:16,461 - pyskl - INFO - Epoch [95][1100/1873] lr: 6.012e-02, eta: 10:14:41, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3593, top5_acc: 0.6235, loss_cls: 5.1978, loss: 5.1978 +2023-12-21 17:10:49,418 - pyskl - INFO - Epoch [95][1200/1873] lr: 6.002e-02, eta: 10:14:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3630, top5_acc: 0.6251, loss_cls: 5.1956, loss: 5.1956 +2023-12-21 17:11:22,444 - pyskl - INFO - Epoch [95][1300/1873] lr: 5.991e-02, eta: 10:13:27, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3540, top5_acc: 0.6154, loss_cls: 5.2266, loss: 5.2266 +2023-12-21 17:11:55,506 - pyskl - INFO - Epoch [95][1400/1873] lr: 5.981e-02, eta: 10:12:50, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3522, top5_acc: 0.6189, loss_cls: 5.2252, loss: 5.2252 +2023-12-21 17:12:28,419 - pyskl - INFO - Epoch [95][1500/1873] lr: 5.971e-02, eta: 10:12:13, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3645, top5_acc: 0.6215, loss_cls: 5.1727, loss: 5.1727 +2023-12-21 17:13:01,374 - pyskl - INFO - Epoch [95][1600/1873] lr: 5.961e-02, eta: 10:11:36, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3575, top5_acc: 0.6167, loss_cls: 5.2196, loss: 5.2196 +2023-12-21 17:13:34,381 - pyskl - INFO - Epoch [95][1700/1873] lr: 5.950e-02, eta: 10:10:59, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3589, top5_acc: 0.6183, loss_cls: 5.1856, loss: 5.1856 +2023-12-21 17:14:07,282 - pyskl - INFO - Epoch [95][1800/1873] lr: 5.940e-02, eta: 10:10:22, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3580, top5_acc: 0.6198, loss_cls: 5.2118, loss: 5.2118 +2023-12-21 17:14:35,673 - pyskl - INFO - Saving checkpoint at 95 epochs +2023-12-21 17:15:21,799 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 17:15:22,550 - pyskl - INFO - +top1_acc 0.2935 +top5_acc 0.5558 +2023-12-21 17:15:22,550 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 17:15:22,587 - pyskl - INFO - +mean_acc 0.2931 +2023-12-21 17:15:22,597 - pyskl - INFO - Epoch(val) [95][155] top1_acc: 0.2935, top5_acc: 0.5558, mean_class_accuracy: 0.2931 +2023-12-21 17:17:07,946 - pyskl - INFO - Epoch [96][100/1873] lr: 5.923e-02, eta: 10:09:46, time: 1.053, data_time: 0.722, memory: 8129, top1_acc: 0.3704, top5_acc: 0.6362, loss_cls: 5.1139, loss: 5.1139 +2023-12-21 17:17:40,870 - pyskl - INFO - Epoch [96][200/1873] lr: 5.912e-02, eta: 10:09:09, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3676, top5_acc: 0.6320, loss_cls: 5.1497, loss: 5.1497 +2023-12-21 17:18:14,045 - pyskl - INFO - Epoch [96][300/1873] lr: 5.902e-02, eta: 10:08:32, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3666, top5_acc: 0.6280, loss_cls: 5.1587, loss: 5.1587 +2023-12-21 17:18:47,155 - pyskl - INFO - Epoch [96][400/1873] lr: 5.892e-02, eta: 10:07:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3646, top5_acc: 0.6279, loss_cls: 5.1525, loss: 5.1525 +2023-12-21 17:19:20,267 - pyskl - INFO - Epoch [96][500/1873] lr: 5.882e-02, eta: 10:07:18, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3615, top5_acc: 0.6291, loss_cls: 5.1684, loss: 5.1684 +2023-12-21 17:19:53,402 - pyskl - INFO - Epoch [96][600/1873] lr: 5.872e-02, eta: 10:06:41, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3629, top5_acc: 0.6328, loss_cls: 5.1504, loss: 5.1504 +2023-12-21 17:20:26,457 - pyskl - INFO - Epoch [96][700/1873] lr: 5.861e-02, eta: 10:06:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3609, top5_acc: 0.6227, loss_cls: 5.1858, loss: 5.1858 +2023-12-21 17:20:59,443 - pyskl - INFO - Epoch [96][800/1873] lr: 5.851e-02, eta: 10:05:27, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3605, top5_acc: 0.6162, loss_cls: 5.1994, loss: 5.1994 +2023-12-21 17:21:32,617 - pyskl - INFO - Epoch [96][900/1873] lr: 5.841e-02, eta: 10:04:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3666, top5_acc: 0.6291, loss_cls: 5.1740, loss: 5.1740 +2023-12-21 17:22:05,839 - pyskl - INFO - Epoch [96][1000/1873] lr: 5.831e-02, eta: 10:04:14, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3674, top5_acc: 0.6297, loss_cls: 5.1655, loss: 5.1655 +2023-12-21 17:22:39,029 - pyskl - INFO - Epoch [96][1100/1873] lr: 5.821e-02, eta: 10:03:37, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3669, top5_acc: 0.6277, loss_cls: 5.1735, loss: 5.1735 +2023-12-21 17:23:12,146 - pyskl - INFO - Epoch [96][1200/1873] lr: 5.811e-02, eta: 10:03:00, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3592, top5_acc: 0.6216, loss_cls: 5.1978, loss: 5.1978 +2023-12-21 17:23:45,304 - pyskl - INFO - Epoch [96][1300/1873] lr: 5.800e-02, eta: 10:02:23, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3488, top5_acc: 0.6191, loss_cls: 5.2424, loss: 5.2424 +2023-12-21 17:24:18,270 - pyskl - INFO - Epoch [96][1400/1873] lr: 5.790e-02, eta: 10:01:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3610, top5_acc: 0.6267, loss_cls: 5.1875, loss: 5.1875 +2023-12-21 17:24:51,421 - pyskl - INFO - Epoch [96][1500/1873] lr: 5.780e-02, eta: 10:01:09, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3598, top5_acc: 0.6188, loss_cls: 5.2011, loss: 5.2011 +2023-12-21 17:25:24,465 - pyskl - INFO - Epoch [96][1600/1873] lr: 5.770e-02, eta: 10:00:32, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3620, top5_acc: 0.6198, loss_cls: 5.1961, loss: 5.1961 +2023-12-21 17:25:57,456 - pyskl - INFO - Epoch [96][1700/1873] lr: 5.760e-02, eta: 9:59:55, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3597, top5_acc: 0.6260, loss_cls: 5.1784, loss: 5.1784 +2023-12-21 17:26:30,448 - pyskl - INFO - Epoch [96][1800/1873] lr: 5.750e-02, eta: 9:59:18, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3601, top5_acc: 0.6277, loss_cls: 5.1881, loss: 5.1881 +2023-12-21 17:26:58,832 - pyskl - INFO - Saving checkpoint at 96 epochs +2023-12-21 17:27:44,190 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 17:27:44,928 - pyskl - INFO - +top1_acc 0.3007 +top5_acc 0.5566 +2023-12-21 17:27:44,928 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 17:27:44,974 - pyskl - INFO - +mean_acc 0.3005 +2023-12-21 17:27:44,985 - pyskl - INFO - Epoch(val) [96][155] top1_acc: 0.3007, top5_acc: 0.5566, mean_class_accuracy: 0.3005 +2023-12-21 17:29:30,553 - pyskl - INFO - Epoch [97][100/1873] lr: 5.732e-02, eta: 9:58:42, time: 1.056, data_time: 0.725, memory: 8129, top1_acc: 0.3699, top5_acc: 0.6353, loss_cls: 5.1362, loss: 5.1362 +2023-12-21 17:30:03,598 - pyskl - INFO - Epoch [97][200/1873] lr: 5.722e-02, eta: 9:58:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3762, top5_acc: 0.6359, loss_cls: 5.1233, loss: 5.1233 +2023-12-21 17:30:36,680 - pyskl - INFO - Epoch [97][300/1873] lr: 5.712e-02, eta: 9:57:28, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3680, top5_acc: 0.6284, loss_cls: 5.1460, loss: 5.1460 +2023-12-21 17:31:09,760 - pyskl - INFO - Epoch [97][400/1873] lr: 5.702e-02, eta: 9:56:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3705, top5_acc: 0.6305, loss_cls: 5.1453, loss: 5.1453 +2023-12-21 17:31:42,907 - pyskl - INFO - Epoch [97][500/1873] lr: 5.692e-02, eta: 9:56:14, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3678, top5_acc: 0.6375, loss_cls: 5.1398, loss: 5.1398 +2023-12-21 17:32:16,301 - pyskl - INFO - Epoch [97][600/1873] lr: 5.682e-02, eta: 9:55:37, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3694, top5_acc: 0.6384, loss_cls: 5.1252, loss: 5.1252 +2023-12-21 17:32:49,498 - pyskl - INFO - Epoch [97][700/1873] lr: 5.672e-02, eta: 9:55:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3689, top5_acc: 0.6310, loss_cls: 5.1479, loss: 5.1479 +2023-12-21 17:33:22,622 - pyskl - INFO - Epoch [97][800/1873] lr: 5.662e-02, eta: 9:54:23, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3658, top5_acc: 0.6198, loss_cls: 5.1643, loss: 5.1643 +2023-12-21 17:33:55,908 - pyskl - INFO - Epoch [97][900/1873] lr: 5.651e-02, eta: 9:53:47, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3702, top5_acc: 0.6267, loss_cls: 5.1615, loss: 5.1615 +2023-12-21 17:34:29,083 - pyskl - INFO - Epoch [97][1000/1873] lr: 5.641e-02, eta: 9:53:10, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3584, top5_acc: 0.6255, loss_cls: 5.1667, loss: 5.1667 +2023-12-21 17:35:02,214 - pyskl - INFO - Epoch [97][1100/1873] lr: 5.631e-02, eta: 9:52:33, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3654, top5_acc: 0.6280, loss_cls: 5.1622, loss: 5.1622 +2023-12-21 17:35:35,423 - pyskl - INFO - Epoch [97][1200/1873] lr: 5.621e-02, eta: 9:51:56, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3646, top5_acc: 0.6312, loss_cls: 5.1463, loss: 5.1463 +2023-12-21 17:36:08,342 - pyskl - INFO - Epoch [97][1300/1873] lr: 5.611e-02, eta: 9:51:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3689, top5_acc: 0.6231, loss_cls: 5.1616, loss: 5.1616 +2023-12-21 17:36:41,429 - pyskl - INFO - Epoch [97][1400/1873] lr: 5.601e-02, eta: 9:50:42, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3593, top5_acc: 0.6212, loss_cls: 5.1978, loss: 5.1978 +2023-12-21 17:37:14,465 - pyskl - INFO - Epoch [97][1500/1873] lr: 5.591e-02, eta: 9:50:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3626, top5_acc: 0.6229, loss_cls: 5.1957, loss: 5.1957 +2023-12-21 17:37:47,665 - pyskl - INFO - Epoch [97][1600/1873] lr: 5.581e-02, eta: 9:49:28, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3661, top5_acc: 0.6237, loss_cls: 5.1733, loss: 5.1733 +2023-12-21 17:38:21,071 - pyskl - INFO - Epoch [97][1700/1873] lr: 5.571e-02, eta: 9:48:52, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3584, top5_acc: 0.6234, loss_cls: 5.1898, loss: 5.1898 +2023-12-21 17:38:54,080 - pyskl - INFO - Epoch [97][1800/1873] lr: 5.561e-02, eta: 9:48:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3641, top5_acc: 0.6255, loss_cls: 5.1916, loss: 5.1916 +2023-12-21 17:39:21,722 - pyskl - INFO - Saving checkpoint at 97 epochs +2023-12-21 17:40:07,286 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 17:40:08,036 - pyskl - INFO - +top1_acc 0.3159 +top5_acc 0.5692 +2023-12-21 17:40:08,037 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 17:40:08,075 - pyskl - INFO - +mean_acc 0.3157 +2023-12-21 17:40:08,082 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_94.pth was removed +2023-12-21 17:40:08,255 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. +2023-12-21 17:40:08,256 - pyskl - INFO - Best top1_acc is 0.3159 at 97 epoch. +2023-12-21 17:40:08,266 - pyskl - INFO - Epoch(val) [97][155] top1_acc: 0.3159, top5_acc: 0.5692, mean_class_accuracy: 0.3157 +2023-12-21 17:41:51,955 - pyskl - INFO - Epoch [98][100/1873] lr: 5.544e-02, eta: 9:47:36, time: 1.037, data_time: 0.695, memory: 8129, top1_acc: 0.3777, top5_acc: 0.6435, loss_cls: 5.0859, loss: 5.0859 +2023-12-21 17:42:24,964 - pyskl - INFO - Epoch [98][200/1873] lr: 5.534e-02, eta: 9:46:59, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3702, top5_acc: 0.6342, loss_cls: 5.1358, loss: 5.1358 +2023-12-21 17:42:58,000 - pyskl - INFO - Epoch [98][300/1873] lr: 5.524e-02, eta: 9:46:23, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3729, top5_acc: 0.6344, loss_cls: 5.1114, loss: 5.1114 +2023-12-21 17:43:30,969 - pyskl - INFO - Epoch [98][400/1873] lr: 5.514e-02, eta: 9:45:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3670, top5_acc: 0.6355, loss_cls: 5.1349, loss: 5.1349 +2023-12-21 17:44:04,011 - pyskl - INFO - Epoch [98][500/1873] lr: 5.504e-02, eta: 9:45:09, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3687, top5_acc: 0.6360, loss_cls: 5.1374, loss: 5.1374 +2023-12-21 17:44:36,904 - pyskl - INFO - Epoch [98][600/1873] lr: 5.494e-02, eta: 9:44:32, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3706, top5_acc: 0.6310, loss_cls: 5.1373, loss: 5.1373 +2023-12-21 17:45:10,049 - pyskl - INFO - Epoch [98][700/1873] lr: 5.484e-02, eta: 9:43:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3749, top5_acc: 0.6317, loss_cls: 5.1514, loss: 5.1514 +2023-12-21 17:45:43,102 - pyskl - INFO - Epoch [98][800/1873] lr: 5.474e-02, eta: 9:43:18, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3681, top5_acc: 0.6331, loss_cls: 5.1544, loss: 5.1544 +2023-12-21 17:46:16,053 - pyskl - INFO - Epoch [98][900/1873] lr: 5.464e-02, eta: 9:42:41, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3634, top5_acc: 0.6305, loss_cls: 5.1556, loss: 5.1556 +2023-12-21 17:46:48,869 - pyskl - INFO - Epoch [98][1000/1873] lr: 5.454e-02, eta: 9:42:04, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3713, top5_acc: 0.6294, loss_cls: 5.1346, loss: 5.1346 +2023-12-21 17:47:21,700 - pyskl - INFO - Epoch [98][1100/1873] lr: 5.444e-02, eta: 9:41:27, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3616, top5_acc: 0.6259, loss_cls: 5.1689, loss: 5.1689 +2023-12-21 17:47:54,813 - pyskl - INFO - Epoch [98][1200/1873] lr: 5.434e-02, eta: 9:40:50, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3672, top5_acc: 0.6279, loss_cls: 5.1694, loss: 5.1694 +2023-12-21 17:48:27,809 - pyskl - INFO - Epoch [98][1300/1873] lr: 5.424e-02, eta: 9:40:13, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3688, top5_acc: 0.6280, loss_cls: 5.1613, loss: 5.1613 +2023-12-21 17:49:00,619 - pyskl - INFO - Epoch [98][1400/1873] lr: 5.414e-02, eta: 9:39:36, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3748, top5_acc: 0.6301, loss_cls: 5.1359, loss: 5.1359 +2023-12-21 17:49:33,416 - pyskl - INFO - Epoch [98][1500/1873] lr: 5.404e-02, eta: 9:38:59, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3688, top5_acc: 0.6395, loss_cls: 5.1117, loss: 5.1117 +2023-12-21 17:50:06,255 - pyskl - INFO - Epoch [98][1600/1873] lr: 5.394e-02, eta: 9:38:22, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3648, top5_acc: 0.6213, loss_cls: 5.1663, loss: 5.1663 +2023-12-21 17:50:39,019 - pyskl - INFO - Epoch [98][1700/1873] lr: 5.384e-02, eta: 9:37:45, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3740, top5_acc: 0.6293, loss_cls: 5.1570, loss: 5.1570 +2023-12-21 17:51:11,920 - pyskl - INFO - Epoch [98][1800/1873] lr: 5.374e-02, eta: 9:37:08, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3680, top5_acc: 0.6310, loss_cls: 5.1494, loss: 5.1494 +2023-12-21 17:51:39,635 - pyskl - INFO - Saving checkpoint at 98 epochs +2023-12-21 17:52:25,782 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 17:52:26,803 - pyskl - INFO - +top1_acc 0.3142 +top5_acc 0.5762 +2023-12-21 17:52:26,803 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 17:52:26,839 - pyskl - INFO - +mean_acc 0.3139 +2023-12-21 17:52:26,850 - pyskl - INFO - Epoch(val) [98][155] top1_acc: 0.3142, top5_acc: 0.5762, mean_class_accuracy: 0.3139 +2023-12-21 17:54:10,723 - pyskl - INFO - Epoch [99][100/1873] lr: 5.357e-02, eta: 9:36:29, time: 1.039, data_time: 0.709, memory: 8129, top1_acc: 0.3748, top5_acc: 0.6366, loss_cls: 5.1019, loss: 5.1019 +2023-12-21 17:54:43,709 - pyskl - INFO - Epoch [99][200/1873] lr: 5.347e-02, eta: 9:35:53, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3746, top5_acc: 0.6359, loss_cls: 5.1060, loss: 5.1060 +2023-12-21 17:55:16,998 - pyskl - INFO - Epoch [99][300/1873] lr: 5.337e-02, eta: 9:35:16, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3754, top5_acc: 0.6388, loss_cls: 5.0997, loss: 5.0997 +2023-12-21 17:55:50,109 - pyskl - INFO - Epoch [99][400/1873] lr: 5.328e-02, eta: 9:34:39, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3773, top5_acc: 0.6420, loss_cls: 5.0953, loss: 5.0953 +2023-12-21 17:56:23,203 - pyskl - INFO - Epoch [99][500/1873] lr: 5.318e-02, eta: 9:34:02, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3753, top5_acc: 0.6383, loss_cls: 5.0902, loss: 5.0902 +2023-12-21 17:56:56,090 - pyskl - INFO - Epoch [99][600/1873] lr: 5.308e-02, eta: 9:33:25, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3723, top5_acc: 0.6319, loss_cls: 5.1373, loss: 5.1373 +2023-12-21 17:57:29,113 - pyskl - INFO - Epoch [99][700/1873] lr: 5.298e-02, eta: 9:32:48, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3688, top5_acc: 0.6355, loss_cls: 5.1405, loss: 5.1405 +2023-12-21 17:58:02,119 - pyskl - INFO - Epoch [99][800/1873] lr: 5.288e-02, eta: 9:32:11, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3698, top5_acc: 0.6308, loss_cls: 5.1373, loss: 5.1373 +2023-12-21 17:58:35,327 - pyskl - INFO - Epoch [99][900/1873] lr: 5.278e-02, eta: 9:31:35, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3706, top5_acc: 0.6347, loss_cls: 5.1212, loss: 5.1212 +2023-12-21 17:59:08,371 - pyskl - INFO - Epoch [99][1000/1873] lr: 5.268e-02, eta: 9:30:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3684, top5_acc: 0.6352, loss_cls: 5.1181, loss: 5.1181 +2023-12-21 17:59:41,496 - pyskl - INFO - Epoch [99][1100/1873] lr: 5.258e-02, eta: 9:30:21, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3730, top5_acc: 0.6275, loss_cls: 5.1507, loss: 5.1507 +2023-12-21 18:00:14,540 - pyskl - INFO - Epoch [99][1200/1873] lr: 5.249e-02, eta: 9:29:44, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3700, top5_acc: 0.6298, loss_cls: 5.1358, loss: 5.1358 +2023-12-21 18:00:47,680 - pyskl - INFO - Epoch [99][1300/1873] lr: 5.239e-02, eta: 9:29:07, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3698, top5_acc: 0.6296, loss_cls: 5.1512, loss: 5.1512 +2023-12-21 18:01:20,805 - pyskl - INFO - Epoch [99][1400/1873] lr: 5.229e-02, eta: 9:28:31, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3677, top5_acc: 0.6343, loss_cls: 5.1478, loss: 5.1478 +2023-12-21 18:01:53,979 - pyskl - INFO - Epoch [99][1500/1873] lr: 5.219e-02, eta: 9:27:54, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3659, top5_acc: 0.6354, loss_cls: 5.1515, loss: 5.1515 +2023-12-21 18:02:27,214 - pyskl - INFO - Epoch [99][1600/1873] lr: 5.209e-02, eta: 9:27:17, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3648, top5_acc: 0.6265, loss_cls: 5.1658, loss: 5.1658 +2023-12-21 18:03:00,341 - pyskl - INFO - Epoch [99][1700/1873] lr: 5.200e-02, eta: 9:26:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3776, top5_acc: 0.6358, loss_cls: 5.0942, loss: 5.0942 +2023-12-21 18:03:33,371 - pyskl - INFO - Epoch [99][1800/1873] lr: 5.190e-02, eta: 9:26:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3745, top5_acc: 0.6299, loss_cls: 5.1487, loss: 5.1487 +2023-12-21 18:04:01,001 - pyskl - INFO - Saving checkpoint at 99 epochs +2023-12-21 18:04:46,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 18:04:47,265 - pyskl - INFO - +top1_acc 0.3254 +top5_acc 0.5769 +2023-12-21 18:04:47,265 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 18:04:47,307 - pyskl - INFO - +mean_acc 0.3252 +2023-12-21 18:04:47,314 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_97.pth was removed +2023-12-21 18:04:47,549 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. +2023-12-21 18:04:47,549 - pyskl - INFO - Best top1_acc is 0.3254 at 99 epoch. +2023-12-21 18:04:47,560 - pyskl - INFO - Epoch(val) [99][155] top1_acc: 0.3254, top5_acc: 0.5769, mean_class_accuracy: 0.3252 +2023-12-21 18:06:34,766 - pyskl - INFO - Epoch [100][100/1873] lr: 5.173e-02, eta: 9:25:26, time: 1.072, data_time: 0.740, memory: 8129, top1_acc: 0.3877, top5_acc: 0.6512, loss_cls: 5.0468, loss: 5.0468 +2023-12-21 18:07:07,822 - pyskl - INFO - Epoch [100][200/1873] lr: 5.163e-02, eta: 9:24:49, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3745, top5_acc: 0.6420, loss_cls: 5.0985, loss: 5.0985 +2023-12-21 18:07:40,999 - pyskl - INFO - Epoch [100][300/1873] lr: 5.153e-02, eta: 9:24:12, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3802, top5_acc: 0.6386, loss_cls: 5.0922, loss: 5.0922 +2023-12-21 18:08:14,352 - pyskl - INFO - Epoch [100][400/1873] lr: 5.143e-02, eta: 9:23:35, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3751, top5_acc: 0.6377, loss_cls: 5.1088, loss: 5.1088 +2023-12-21 18:08:47,689 - pyskl - INFO - Epoch [100][500/1873] lr: 5.134e-02, eta: 9:22:59, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3721, top5_acc: 0.6334, loss_cls: 5.1345, loss: 5.1345 +2023-12-21 18:09:21,062 - pyskl - INFO - Epoch [100][600/1873] lr: 5.124e-02, eta: 9:22:22, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3781, top5_acc: 0.6423, loss_cls: 5.0969, loss: 5.0969 +2023-12-21 18:09:54,237 - pyskl - INFO - Epoch [100][700/1873] lr: 5.114e-02, eta: 9:21:45, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3782, top5_acc: 0.6426, loss_cls: 5.0752, loss: 5.0752 +2023-12-21 18:10:27,539 - pyskl - INFO - Epoch [100][800/1873] lr: 5.104e-02, eta: 9:21:08, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3719, top5_acc: 0.6359, loss_cls: 5.1296, loss: 5.1296 +2023-12-21 18:11:00,953 - pyskl - INFO - Epoch [100][900/1873] lr: 5.095e-02, eta: 9:20:32, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3730, top5_acc: 0.6327, loss_cls: 5.1255, loss: 5.1255 +2023-12-21 18:11:34,198 - pyskl - INFO - Epoch [100][1000/1873] lr: 5.085e-02, eta: 9:19:55, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3706, top5_acc: 0.6340, loss_cls: 5.1429, loss: 5.1429 +2023-12-21 18:12:07,449 - pyskl - INFO - Epoch [100][1100/1873] lr: 5.075e-02, eta: 9:19:18, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3813, top5_acc: 0.6450, loss_cls: 5.0717, loss: 5.0717 +2023-12-21 18:12:40,855 - pyskl - INFO - Epoch [100][1200/1873] lr: 5.065e-02, eta: 9:18:42, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3713, top5_acc: 0.6300, loss_cls: 5.1370, loss: 5.1370 +2023-12-21 18:13:14,235 - pyskl - INFO - Epoch [100][1300/1873] lr: 5.056e-02, eta: 9:18:05, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3759, top5_acc: 0.6422, loss_cls: 5.1024, loss: 5.1024 +2023-12-21 18:13:47,625 - pyskl - INFO - Epoch [100][1400/1873] lr: 5.046e-02, eta: 9:17:29, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3730, top5_acc: 0.6394, loss_cls: 5.1053, loss: 5.1053 +2023-12-21 18:14:20,991 - pyskl - INFO - Epoch [100][1500/1873] lr: 5.036e-02, eta: 9:16:52, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3621, top5_acc: 0.6248, loss_cls: 5.1722, loss: 5.1722 +2023-12-21 18:14:54,378 - pyskl - INFO - Epoch [100][1600/1873] lr: 5.027e-02, eta: 9:16:15, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3796, top5_acc: 0.6357, loss_cls: 5.1127, loss: 5.1127 +2023-12-21 18:15:27,665 - pyskl - INFO - Epoch [100][1700/1873] lr: 5.017e-02, eta: 9:15:39, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3688, top5_acc: 0.6306, loss_cls: 5.1356, loss: 5.1356 +2023-12-21 18:16:00,920 - pyskl - INFO - Epoch [100][1800/1873] lr: 5.007e-02, eta: 9:15:02, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3670, top5_acc: 0.6298, loss_cls: 5.1434, loss: 5.1434 +2023-12-21 18:16:28,953 - pyskl - INFO - Saving checkpoint at 100 epochs +2023-12-21 18:17:15,102 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 18:17:15,867 - pyskl - INFO - +top1_acc 0.2959 +top5_acc 0.5475 +2023-12-21 18:17:15,867 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 18:17:15,907 - pyskl - INFO - +mean_acc 0.2956 +2023-12-21 18:17:15,921 - pyskl - INFO - Epoch(val) [100][155] top1_acc: 0.2959, top5_acc: 0.5475, mean_class_accuracy: 0.2956 +2023-12-21 18:19:01,043 - pyskl - INFO - Epoch [101][100/1873] lr: 4.990e-02, eta: 9:14:22, time: 1.051, data_time: 0.717, memory: 8129, top1_acc: 0.3824, top5_acc: 0.6433, loss_cls: 5.0709, loss: 5.0709 +2023-12-21 18:19:34,270 - pyskl - INFO - Epoch [101][200/1873] lr: 4.981e-02, eta: 9:13:46, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3766, top5_acc: 0.6455, loss_cls: 5.0541, loss: 5.0541 +2023-12-21 18:20:07,699 - pyskl - INFO - Epoch [101][300/1873] lr: 4.971e-02, eta: 9:13:09, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3795, top5_acc: 0.6476, loss_cls: 5.0688, loss: 5.0688 +2023-12-21 18:20:41,272 - pyskl - INFO - Epoch [101][400/1873] lr: 4.961e-02, eta: 9:12:32, time: 0.336, data_time: 0.000, memory: 8129, top1_acc: 0.3761, top5_acc: 0.6416, loss_cls: 5.0858, loss: 5.0858 +2023-12-21 18:21:14,746 - pyskl - INFO - Epoch [101][500/1873] lr: 4.952e-02, eta: 9:11:56, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.3853, top5_acc: 0.6423, loss_cls: 5.0678, loss: 5.0678 +2023-12-21 18:21:48,288 - pyskl - INFO - Epoch [101][600/1873] lr: 4.942e-02, eta: 9:11:19, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.3798, top5_acc: 0.6427, loss_cls: 5.0773, loss: 5.0773 +2023-12-21 18:22:21,575 - pyskl - INFO - Epoch [101][700/1873] lr: 4.932e-02, eta: 9:10:43, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3755, top5_acc: 0.6337, loss_cls: 5.1323, loss: 5.1323 +2023-12-21 18:22:55,054 - pyskl - INFO - Epoch [101][800/1873] lr: 4.923e-02, eta: 9:10:06, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.3821, top5_acc: 0.6339, loss_cls: 5.1032, loss: 5.1032 +2023-12-21 18:23:28,617 - pyskl - INFO - Epoch [101][900/1873] lr: 4.913e-02, eta: 9:09:30, time: 0.336, data_time: 0.000, memory: 8129, top1_acc: 0.3705, top5_acc: 0.6389, loss_cls: 5.1053, loss: 5.1053 +2023-12-21 18:24:01,893 - pyskl - INFO - Epoch [101][1000/1873] lr: 4.904e-02, eta: 9:08:53, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3751, top5_acc: 0.6338, loss_cls: 5.1334, loss: 5.1334 +2023-12-21 18:24:35,271 - pyskl - INFO - Epoch [101][1100/1873] lr: 4.894e-02, eta: 9:08:16, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3693, top5_acc: 0.6388, loss_cls: 5.1083, loss: 5.1083 +2023-12-21 18:25:08,692 - pyskl - INFO - Epoch [101][1200/1873] lr: 4.884e-02, eta: 9:07:40, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3758, top5_acc: 0.6382, loss_cls: 5.1112, loss: 5.1112 +2023-12-21 18:25:41,928 - pyskl - INFO - Epoch [101][1300/1873] lr: 4.875e-02, eta: 9:07:03, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3741, top5_acc: 0.6397, loss_cls: 5.0888, loss: 5.0888 +2023-12-21 18:26:15,098 - pyskl - INFO - Epoch [101][1400/1873] lr: 4.865e-02, eta: 9:06:26, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3698, top5_acc: 0.6379, loss_cls: 5.1324, loss: 5.1324 +2023-12-21 18:26:48,372 - pyskl - INFO - Epoch [101][1500/1873] lr: 4.856e-02, eta: 9:05:50, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3800, top5_acc: 0.6423, loss_cls: 5.0739, loss: 5.0739 +2023-12-21 18:27:21,759 - pyskl - INFO - Epoch [101][1600/1873] lr: 4.846e-02, eta: 9:05:13, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3835, top5_acc: 0.6446, loss_cls: 5.0754, loss: 5.0754 +2023-12-21 18:27:55,190 - pyskl - INFO - Epoch [101][1700/1873] lr: 4.836e-02, eta: 9:04:36, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3802, top5_acc: 0.6320, loss_cls: 5.1214, loss: 5.1214 +2023-12-21 18:28:28,324 - pyskl - INFO - Epoch [101][1800/1873] lr: 4.827e-02, eta: 9:04:00, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3789, top5_acc: 0.6391, loss_cls: 5.0922, loss: 5.0922 +2023-12-21 18:28:55,651 - pyskl - INFO - Saving checkpoint at 101 epochs +2023-12-21 18:29:43,150 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 18:29:44,128 - pyskl - INFO - +top1_acc 0.3159 +top5_acc 0.5720 +2023-12-21 18:29:44,128 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 18:29:44,225 - pyskl - INFO - +mean_acc 0.3156 +2023-12-21 18:29:44,251 - pyskl - INFO - Epoch(val) [101][155] top1_acc: 0.3159, top5_acc: 0.5720, mean_class_accuracy: 0.3156 +2023-12-21 18:31:28,957 - pyskl - INFO - Epoch [102][100/1873] lr: 4.810e-02, eta: 9:03:19, time: 1.047, data_time: 0.717, memory: 8129, top1_acc: 0.3863, top5_acc: 0.6498, loss_cls: 5.0321, loss: 5.0321 +2023-12-21 18:32:02,035 - pyskl - INFO - Epoch [102][200/1873] lr: 4.801e-02, eta: 9:02:42, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3919, top5_acc: 0.6544, loss_cls: 5.0238, loss: 5.0238 +2023-12-21 18:32:35,138 - pyskl - INFO - Epoch [102][300/1873] lr: 4.791e-02, eta: 9:02:06, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3908, top5_acc: 0.6545, loss_cls: 5.0150, loss: 5.0150 +2023-12-21 18:33:08,194 - pyskl - INFO - Epoch [102][400/1873] lr: 4.782e-02, eta: 9:01:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3743, top5_acc: 0.6397, loss_cls: 5.0891, loss: 5.0891 +2023-12-21 18:33:41,183 - pyskl - INFO - Epoch [102][500/1873] lr: 4.772e-02, eta: 9:00:52, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3808, top5_acc: 0.6476, loss_cls: 5.0717, loss: 5.0717 +2023-12-21 18:34:14,298 - pyskl - INFO - Epoch [102][600/1873] lr: 4.763e-02, eta: 9:00:15, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3786, top5_acc: 0.6327, loss_cls: 5.1113, loss: 5.1113 +2023-12-21 18:34:47,467 - pyskl - INFO - Epoch [102][700/1873] lr: 4.753e-02, eta: 8:59:39, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3797, top5_acc: 0.6448, loss_cls: 5.0877, loss: 5.0877 +2023-12-21 18:35:20,509 - pyskl - INFO - Epoch [102][800/1873] lr: 4.744e-02, eta: 8:59:02, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3732, top5_acc: 0.6361, loss_cls: 5.1251, loss: 5.1251 +2023-12-21 18:35:53,494 - pyskl - INFO - Epoch [102][900/1873] lr: 4.734e-02, eta: 8:58:25, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3754, top5_acc: 0.6376, loss_cls: 5.0974, loss: 5.0974 +2023-12-21 18:36:26,432 - pyskl - INFO - Epoch [102][1000/1873] lr: 4.725e-02, eta: 8:57:48, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3727, top5_acc: 0.6383, loss_cls: 5.0973, loss: 5.0973 +2023-12-21 18:36:59,562 - pyskl - INFO - Epoch [102][1100/1873] lr: 4.715e-02, eta: 8:57:12, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3757, top5_acc: 0.6408, loss_cls: 5.0862, loss: 5.0862 +2023-12-21 18:37:32,436 - pyskl - INFO - Epoch [102][1200/1873] lr: 4.706e-02, eta: 8:56:35, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3865, top5_acc: 0.6486, loss_cls: 5.0647, loss: 5.0647 +2023-12-21 18:38:05,509 - pyskl - INFO - Epoch [102][1300/1873] lr: 4.696e-02, eta: 8:55:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3722, top5_acc: 0.6331, loss_cls: 5.1340, loss: 5.1340 +2023-12-21 18:38:38,557 - pyskl - INFO - Epoch [102][1400/1873] lr: 4.687e-02, eta: 8:55:21, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3807, top5_acc: 0.6466, loss_cls: 5.0695, loss: 5.0695 +2023-12-21 18:39:11,492 - pyskl - INFO - Epoch [102][1500/1873] lr: 4.677e-02, eta: 8:54:45, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3761, top5_acc: 0.6422, loss_cls: 5.0876, loss: 5.0876 +2023-12-21 18:39:44,439 - pyskl - INFO - Epoch [102][1600/1873] lr: 4.668e-02, eta: 8:54:08, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3784, top5_acc: 0.6424, loss_cls: 5.1022, loss: 5.1022 +2023-12-21 18:40:17,440 - pyskl - INFO - Epoch [102][1700/1873] lr: 4.658e-02, eta: 8:53:31, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3820, top5_acc: 0.6459, loss_cls: 5.0616, loss: 5.0616 +2023-12-21 18:40:50,668 - pyskl - INFO - Epoch [102][1800/1873] lr: 4.649e-02, eta: 8:52:55, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3751, top5_acc: 0.6393, loss_cls: 5.1011, loss: 5.1011 +2023-12-21 18:41:18,013 - pyskl - INFO - Saving checkpoint at 102 epochs +2023-12-21 18:42:05,562 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 18:42:06,261 - pyskl - INFO - +top1_acc 0.3357 +top5_acc 0.5909 +2023-12-21 18:42:06,261 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 18:42:06,294 - pyskl - INFO - +mean_acc 0.3355 +2023-12-21 18:42:06,300 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_99.pth was removed +2023-12-21 18:42:06,478 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth. +2023-12-21 18:42:06,478 - pyskl - INFO - Best top1_acc is 0.3357 at 102 epoch. +2023-12-21 18:42:06,488 - pyskl - INFO - Epoch(val) [102][155] top1_acc: 0.3357, top5_acc: 0.5909, mean_class_accuracy: 0.3355 +2023-12-21 18:43:49,414 - pyskl - INFO - Epoch [103][100/1873] lr: 4.632e-02, eta: 8:52:13, time: 1.029, data_time: 0.701, memory: 8129, top1_acc: 0.3906, top5_acc: 0.6558, loss_cls: 5.0160, loss: 5.0160 +2023-12-21 18:44:22,394 - pyskl - INFO - Epoch [103][200/1873] lr: 4.623e-02, eta: 8:51:36, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3838, top5_acc: 0.6510, loss_cls: 5.0336, loss: 5.0336 +2023-12-21 18:44:55,275 - pyskl - INFO - Epoch [103][300/1873] lr: 4.614e-02, eta: 8:50:59, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3837, top5_acc: 0.6456, loss_cls: 5.0652, loss: 5.0652 +2023-12-21 18:45:28,232 - pyskl - INFO - Epoch [103][400/1873] lr: 4.604e-02, eta: 8:50:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3855, top5_acc: 0.6467, loss_cls: 5.0462, loss: 5.0462 +2023-12-21 18:46:01,283 - pyskl - INFO - Epoch [103][500/1873] lr: 4.595e-02, eta: 8:49:45, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3840, top5_acc: 0.6391, loss_cls: 5.0816, loss: 5.0816 +2023-12-21 18:46:34,344 - pyskl - INFO - Epoch [103][600/1873] lr: 4.585e-02, eta: 8:49:09, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3764, top5_acc: 0.6434, loss_cls: 5.0693, loss: 5.0693 +2023-12-21 18:47:07,425 - pyskl - INFO - Epoch [103][700/1873] lr: 4.576e-02, eta: 8:48:32, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3809, top5_acc: 0.6451, loss_cls: 5.0509, loss: 5.0509 +2023-12-21 18:47:40,542 - pyskl - INFO - Epoch [103][800/1873] lr: 4.567e-02, eta: 8:47:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3817, top5_acc: 0.6420, loss_cls: 5.0921, loss: 5.0921 +2023-12-21 18:48:13,592 - pyskl - INFO - Epoch [103][900/1873] lr: 4.557e-02, eta: 8:47:19, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3872, top5_acc: 0.6506, loss_cls: 5.0429, loss: 5.0429 +2023-12-21 18:48:46,825 - pyskl - INFO - Epoch [103][1000/1873] lr: 4.548e-02, eta: 8:46:42, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3882, top5_acc: 0.6513, loss_cls: 5.0509, loss: 5.0509 +2023-12-21 18:49:19,941 - pyskl - INFO - Epoch [103][1100/1873] lr: 4.538e-02, eta: 8:46:05, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3801, top5_acc: 0.6395, loss_cls: 5.0868, loss: 5.0868 +2023-12-21 18:49:53,006 - pyskl - INFO - Epoch [103][1200/1873] lr: 4.529e-02, eta: 8:45:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3771, top5_acc: 0.6440, loss_cls: 5.0760, loss: 5.0760 +2023-12-21 18:50:26,172 - pyskl - INFO - Epoch [103][1300/1873] lr: 4.520e-02, eta: 8:44:52, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3845, top5_acc: 0.6466, loss_cls: 5.0656, loss: 5.0656 +2023-12-21 18:50:59,189 - pyskl - INFO - Epoch [103][1400/1873] lr: 4.510e-02, eta: 8:44:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3745, top5_acc: 0.6393, loss_cls: 5.0945, loss: 5.0945 +2023-12-21 18:51:32,268 - pyskl - INFO - Epoch [103][1500/1873] lr: 4.501e-02, eta: 8:43:39, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3820, top5_acc: 0.6470, loss_cls: 5.0637, loss: 5.0637 +2023-12-21 18:52:05,387 - pyskl - INFO - Epoch [103][1600/1873] lr: 4.492e-02, eta: 8:43:02, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3869, top5_acc: 0.6533, loss_cls: 5.0490, loss: 5.0490 +2023-12-21 18:52:38,501 - pyskl - INFO - Epoch [103][1700/1873] lr: 4.482e-02, eta: 8:42:25, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3828, top5_acc: 0.6486, loss_cls: 5.0671, loss: 5.0671 +2023-12-21 18:53:11,751 - pyskl - INFO - Epoch [103][1800/1873] lr: 4.473e-02, eta: 8:41:49, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3813, top5_acc: 0.6436, loss_cls: 5.0705, loss: 5.0705 +2023-12-21 18:53:38,928 - pyskl - INFO - Saving checkpoint at 103 epochs +2023-12-21 18:54:28,367 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 18:54:29,090 - pyskl - INFO - +top1_acc 0.3330 +top5_acc 0.5895 +2023-12-21 18:54:29,090 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 18:54:29,135 - pyskl - INFO - +mean_acc 0.3329 +2023-12-21 18:54:29,145 - pyskl - INFO - Epoch(val) [103][155] top1_acc: 0.3330, top5_acc: 0.5895, mean_class_accuracy: 0.3329 +2023-12-21 18:56:12,163 - pyskl - INFO - Epoch [104][100/1873] lr: 4.457e-02, eta: 8:41:06, time: 1.030, data_time: 0.696, memory: 8129, top1_acc: 0.3975, top5_acc: 0.6659, loss_cls: 4.9896, loss: 4.9896 +2023-12-21 18:56:45,086 - pyskl - INFO - Epoch [104][200/1873] lr: 4.448e-02, eta: 8:40:29, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3869, top5_acc: 0.6484, loss_cls: 5.0456, loss: 5.0456 +2023-12-21 18:57:18,344 - pyskl - INFO - Epoch [104][300/1873] lr: 4.438e-02, eta: 8:39:53, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3905, top5_acc: 0.6563, loss_cls: 5.0242, loss: 5.0242 +2023-12-21 18:57:51,482 - pyskl - INFO - Epoch [104][400/1873] lr: 4.429e-02, eta: 8:39:16, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3939, top5_acc: 0.6546, loss_cls: 5.0077, loss: 5.0077 +2023-12-21 18:58:24,811 - pyskl - INFO - Epoch [104][500/1873] lr: 4.420e-02, eta: 8:38:40, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3829, top5_acc: 0.6435, loss_cls: 5.0588, loss: 5.0588 +2023-12-21 18:58:57,865 - pyskl - INFO - Epoch [104][600/1873] lr: 4.410e-02, eta: 8:38:03, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3898, top5_acc: 0.6465, loss_cls: 5.0440, loss: 5.0440 +2023-12-21 18:59:30,976 - pyskl - INFO - Epoch [104][700/1873] lr: 4.401e-02, eta: 8:37:26, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3851, top5_acc: 0.6483, loss_cls: 5.0517, loss: 5.0517 +2023-12-21 19:00:03,934 - pyskl - INFO - Epoch [104][800/1873] lr: 4.392e-02, eta: 8:36:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3876, top5_acc: 0.6478, loss_cls: 5.0447, loss: 5.0447 +2023-12-21 19:00:37,172 - pyskl - INFO - Epoch [104][900/1873] lr: 4.383e-02, eta: 8:36:13, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3875, top5_acc: 0.6515, loss_cls: 5.0256, loss: 5.0256 +2023-12-21 19:01:10,251 - pyskl - INFO - Epoch [104][1000/1873] lr: 4.373e-02, eta: 8:35:36, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3859, top5_acc: 0.6511, loss_cls: 5.0447, loss: 5.0447 +2023-12-21 19:01:43,466 - pyskl - INFO - Epoch [104][1100/1873] lr: 4.364e-02, eta: 8:35:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3872, top5_acc: 0.6459, loss_cls: 5.0619, loss: 5.0619 +2023-12-21 19:02:16,656 - pyskl - INFO - Epoch [104][1200/1873] lr: 4.355e-02, eta: 8:34:23, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3795, top5_acc: 0.6432, loss_cls: 5.0878, loss: 5.0878 +2023-12-21 19:02:49,845 - pyskl - INFO - Epoch [104][1300/1873] lr: 4.346e-02, eta: 8:33:47, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3895, top5_acc: 0.6484, loss_cls: 5.0500, loss: 5.0500 +2023-12-21 19:03:23,124 - pyskl - INFO - Epoch [104][1400/1873] lr: 4.336e-02, eta: 8:33:10, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3797, top5_acc: 0.6423, loss_cls: 5.0824, loss: 5.0824 +2023-12-21 19:03:56,263 - pyskl - INFO - Epoch [104][1500/1873] lr: 4.327e-02, eta: 8:32:33, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3866, top5_acc: 0.6453, loss_cls: 5.0707, loss: 5.0707 +2023-12-21 19:04:29,422 - pyskl - INFO - Epoch [104][1600/1873] lr: 4.318e-02, eta: 8:31:57, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3871, top5_acc: 0.6416, loss_cls: 5.0440, loss: 5.0440 +2023-12-21 19:05:02,650 - pyskl - INFO - Epoch [104][1700/1873] lr: 4.309e-02, eta: 8:31:20, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3868, top5_acc: 0.6456, loss_cls: 5.0597, loss: 5.0597 +2023-12-21 19:05:36,147 - pyskl - INFO - Epoch [104][1800/1873] lr: 4.300e-02, eta: 8:30:44, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.3783, top5_acc: 0.6412, loss_cls: 5.0809, loss: 5.0809 +2023-12-21 19:06:03,083 - pyskl - INFO - Saving checkpoint at 104 epochs +2023-12-21 19:06:52,024 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 19:06:53,090 - pyskl - INFO - +top1_acc 0.3253 +top5_acc 0.5907 +2023-12-21 19:06:53,090 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 19:06:53,138 - pyskl - INFO - +mean_acc 0.3252 +2023-12-21 19:06:53,150 - pyskl - INFO - Epoch(val) [104][155] top1_acc: 0.3253, top5_acc: 0.5907, mean_class_accuracy: 0.3252 +2023-12-21 19:08:34,297 - pyskl - INFO - Epoch [105][100/1873] lr: 4.284e-02, eta: 8:30:00, time: 1.011, data_time: 0.680, memory: 8129, top1_acc: 0.3984, top5_acc: 0.6677, loss_cls: 4.9511, loss: 4.9511 +2023-12-21 19:09:07,394 - pyskl - INFO - Epoch [105][200/1873] lr: 4.275e-02, eta: 8:29:23, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3927, top5_acc: 0.6540, loss_cls: 5.0003, loss: 5.0003 +2023-12-21 19:09:40,422 - pyskl - INFO - Epoch [105][300/1873] lr: 4.265e-02, eta: 8:28:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3963, top5_acc: 0.6470, loss_cls: 5.0383, loss: 5.0383 +2023-12-21 19:10:13,569 - pyskl - INFO - Epoch [105][400/1873] lr: 4.256e-02, eta: 8:28:10, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3974, top5_acc: 0.6620, loss_cls: 4.9845, loss: 4.9845 +2023-12-21 19:10:46,589 - pyskl - INFO - Epoch [105][500/1873] lr: 4.247e-02, eta: 8:27:33, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3924, top5_acc: 0.6584, loss_cls: 4.9956, loss: 4.9956 +2023-12-21 19:11:19,685 - pyskl - INFO - Epoch [105][600/1873] lr: 4.238e-02, eta: 8:26:57, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3884, top5_acc: 0.6545, loss_cls: 5.0207, loss: 5.0207 +2023-12-21 19:11:52,821 - pyskl - INFO - Epoch [105][700/1873] lr: 4.229e-02, eta: 8:26:20, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3957, top5_acc: 0.6569, loss_cls: 5.0121, loss: 5.0121 +2023-12-21 19:12:26,037 - pyskl - INFO - Epoch [105][800/1873] lr: 4.220e-02, eta: 8:25:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3904, top5_acc: 0.6516, loss_cls: 5.0344, loss: 5.0344 +2023-12-21 19:12:59,056 - pyskl - INFO - Epoch [105][900/1873] lr: 4.211e-02, eta: 8:25:07, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3944, top5_acc: 0.6570, loss_cls: 5.0079, loss: 5.0079 +2023-12-21 19:13:32,294 - pyskl - INFO - Epoch [105][1000/1873] lr: 4.201e-02, eta: 8:24:30, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3719, top5_acc: 0.6404, loss_cls: 5.0894, loss: 5.0894 +2023-12-21 19:14:05,357 - pyskl - INFO - Epoch [105][1100/1873] lr: 4.192e-02, eta: 8:23:54, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3882, top5_acc: 0.6456, loss_cls: 5.0532, loss: 5.0532 +2023-12-21 19:14:38,498 - pyskl - INFO - Epoch [105][1200/1873] lr: 4.183e-02, eta: 8:23:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3859, top5_acc: 0.6516, loss_cls: 5.0510, loss: 5.0510 +2023-12-21 19:15:11,590 - pyskl - INFO - Epoch [105][1300/1873] lr: 4.174e-02, eta: 8:22:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3824, top5_acc: 0.6414, loss_cls: 5.0669, loss: 5.0669 +2023-12-21 19:15:44,816 - pyskl - INFO - Epoch [105][1400/1873] lr: 4.165e-02, eta: 8:22:04, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3909, top5_acc: 0.6513, loss_cls: 5.0338, loss: 5.0338 +2023-12-21 19:16:17,953 - pyskl - INFO - Epoch [105][1500/1873] lr: 4.156e-02, eta: 8:21:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3878, top5_acc: 0.6485, loss_cls: 5.0392, loss: 5.0392 +2023-12-21 19:16:51,103 - pyskl - INFO - Epoch [105][1600/1873] lr: 4.147e-02, eta: 8:20:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3887, top5_acc: 0.6510, loss_cls: 5.0284, loss: 5.0284 +2023-12-21 19:17:24,243 - pyskl - INFO - Epoch [105][1700/1873] lr: 4.138e-02, eta: 8:20:14, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3863, top5_acc: 0.6466, loss_cls: 5.0411, loss: 5.0411 +2023-12-21 19:17:57,595 - pyskl - INFO - Epoch [105][1800/1873] lr: 4.129e-02, eta: 8:19:38, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3899, top5_acc: 0.6470, loss_cls: 5.0499, loss: 5.0499 +2023-12-21 19:18:24,902 - pyskl - INFO - Saving checkpoint at 105 epochs +2023-12-21 19:19:15,491 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 19:19:16,550 - pyskl - INFO - +top1_acc 0.3251 +top5_acc 0.5827 +2023-12-21 19:19:16,551 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 19:19:16,590 - pyskl - INFO - +mean_acc 0.3250 +2023-12-21 19:19:16,601 - pyskl - INFO - Epoch(val) [105][155] top1_acc: 0.3251, top5_acc: 0.5827, mean_class_accuracy: 0.3250 +2023-12-21 19:20:57,784 - pyskl - INFO - Epoch [106][100/1873] lr: 4.113e-02, eta: 8:18:53, time: 1.012, data_time: 0.662, memory: 8129, top1_acc: 0.4041, top5_acc: 0.6634, loss_cls: 4.9552, loss: 4.9552 +2023-12-21 19:21:30,819 - pyskl - INFO - Epoch [106][200/1873] lr: 4.104e-02, eta: 8:18:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3973, top5_acc: 0.6604, loss_cls: 4.9757, loss: 4.9757 +2023-12-21 19:22:04,055 - pyskl - INFO - Epoch [106][300/1873] lr: 4.095e-02, eta: 8:17:40, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3945, top5_acc: 0.6579, loss_cls: 5.0067, loss: 5.0067 +2023-12-21 19:22:37,254 - pyskl - INFO - Epoch [106][400/1873] lr: 4.086e-02, eta: 8:17:03, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3955, top5_acc: 0.6613, loss_cls: 4.9797, loss: 4.9797 +2023-12-21 19:23:10,350 - pyskl - INFO - Epoch [106][500/1873] lr: 4.077e-02, eta: 8:16:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3980, top5_acc: 0.6587, loss_cls: 5.0028, loss: 5.0028 +2023-12-21 19:23:43,538 - pyskl - INFO - Epoch [106][600/1873] lr: 4.068e-02, eta: 8:15:50, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3919, top5_acc: 0.6565, loss_cls: 5.0138, loss: 5.0138 +2023-12-21 19:24:16,715 - pyskl - INFO - Epoch [106][700/1873] lr: 4.059e-02, eta: 8:15:14, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3972, top5_acc: 0.6568, loss_cls: 5.0162, loss: 5.0162 +2023-12-21 19:24:49,961 - pyskl - INFO - Epoch [106][800/1873] lr: 4.050e-02, eta: 8:14:37, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3946, top5_acc: 0.6537, loss_cls: 5.0240, loss: 5.0240 +2023-12-21 19:25:23,078 - pyskl - INFO - Epoch [106][900/1873] lr: 4.041e-02, eta: 8:14:01, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3919, top5_acc: 0.6541, loss_cls: 5.0395, loss: 5.0395 +2023-12-21 19:25:56,265 - pyskl - INFO - Epoch [106][1000/1873] lr: 4.032e-02, eta: 8:13:24, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4007, top5_acc: 0.6614, loss_cls: 5.0013, loss: 5.0013 +2023-12-21 19:26:29,552 - pyskl - INFO - Epoch [106][1100/1873] lr: 4.023e-02, eta: 8:12:48, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3852, top5_acc: 0.6520, loss_cls: 5.0277, loss: 5.0277 +2023-12-21 19:27:02,645 - pyskl - INFO - Epoch [106][1200/1873] lr: 4.014e-02, eta: 8:12:11, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3912, top5_acc: 0.6564, loss_cls: 5.0014, loss: 5.0014 +2023-12-21 19:27:35,780 - pyskl - INFO - Epoch [106][1300/1873] lr: 4.005e-02, eta: 8:11:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3904, top5_acc: 0.6527, loss_cls: 5.0175, loss: 5.0175 +2023-12-21 19:28:09,128 - pyskl - INFO - Epoch [106][1400/1873] lr: 3.996e-02, eta: 8:10:58, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4018, top5_acc: 0.6584, loss_cls: 5.0043, loss: 5.0043 +2023-12-21 19:28:42,461 - pyskl - INFO - Epoch [106][1500/1873] lr: 3.987e-02, eta: 8:10:21, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3886, top5_acc: 0.6562, loss_cls: 5.0191, loss: 5.0191 +2023-12-21 19:29:15,844 - pyskl - INFO - Epoch [106][1600/1873] lr: 3.978e-02, eta: 8:09:45, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3888, top5_acc: 0.6484, loss_cls: 5.0519, loss: 5.0519 +2023-12-21 19:29:49,015 - pyskl - INFO - Epoch [106][1700/1873] lr: 3.970e-02, eta: 8:09:09, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3887, top5_acc: 0.6516, loss_cls: 5.0283, loss: 5.0283 +2023-12-21 19:30:22,124 - pyskl - INFO - Epoch [106][1800/1873] lr: 3.961e-02, eta: 8:08:32, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3912, top5_acc: 0.6479, loss_cls: 5.0317, loss: 5.0317 +2023-12-21 19:30:49,412 - pyskl - INFO - Saving checkpoint at 106 epochs +2023-12-21 19:31:40,998 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 19:31:41,725 - pyskl - INFO - +top1_acc 0.3343 +top5_acc 0.5923 +2023-12-21 19:31:41,726 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 19:31:41,762 - pyskl - INFO - +mean_acc 0.3341 +2023-12-21 19:31:41,772 - pyskl - INFO - Epoch(val) [106][155] top1_acc: 0.3343, top5_acc: 0.5923, mean_class_accuracy: 0.3341 +2023-12-21 19:33:24,472 - pyskl - INFO - Epoch [107][100/1873] lr: 3.945e-02, eta: 8:07:48, time: 1.027, data_time: 0.664, memory: 8129, top1_acc: 0.4101, top5_acc: 0.6670, loss_cls: 4.9393, loss: 4.9393 +2023-12-21 19:33:57,341 - pyskl - INFO - Epoch [107][200/1873] lr: 3.936e-02, eta: 8:07:11, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4017, top5_acc: 0.6671, loss_cls: 4.9447, loss: 4.9447 +2023-12-21 19:34:30,370 - pyskl - INFO - Epoch [107][300/1873] lr: 3.927e-02, eta: 8:06:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3907, top5_acc: 0.6542, loss_cls: 5.0335, loss: 5.0335 +2023-12-21 19:35:03,524 - pyskl - INFO - Epoch [107][400/1873] lr: 3.919e-02, eta: 8:05:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4011, top5_acc: 0.6633, loss_cls: 4.9617, loss: 4.9617 +2023-12-21 19:35:36,891 - pyskl - INFO - Epoch [107][500/1873] lr: 3.910e-02, eta: 8:05:21, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3942, top5_acc: 0.6566, loss_cls: 4.9915, loss: 4.9915 +2023-12-21 19:36:09,910 - pyskl - INFO - Epoch [107][600/1873] lr: 3.901e-02, eta: 8:04:45, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3977, top5_acc: 0.6577, loss_cls: 4.9852, loss: 4.9852 +2023-12-21 19:36:43,002 - pyskl - INFO - Epoch [107][700/1873] lr: 3.892e-02, eta: 8:04:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4021, top5_acc: 0.6619, loss_cls: 5.0026, loss: 5.0026 +2023-12-21 19:37:16,073 - pyskl - INFO - Epoch [107][800/1873] lr: 3.883e-02, eta: 8:03:32, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3994, top5_acc: 0.6618, loss_cls: 4.9690, loss: 4.9690 +2023-12-21 19:37:49,032 - pyskl - INFO - Epoch [107][900/1873] lr: 3.874e-02, eta: 8:02:55, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3928, top5_acc: 0.6609, loss_cls: 4.9923, loss: 4.9923 +2023-12-21 19:38:21,987 - pyskl - INFO - Epoch [107][1000/1873] lr: 3.865e-02, eta: 8:02:18, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4047, top5_acc: 0.6654, loss_cls: 4.9706, loss: 4.9706 +2023-12-21 19:38:54,882 - pyskl - INFO - Epoch [107][1100/1873] lr: 3.857e-02, eta: 8:01:42, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3944, top5_acc: 0.6589, loss_cls: 4.9964, loss: 4.9964 +2023-12-21 19:39:28,023 - pyskl - INFO - Epoch [107][1200/1873] lr: 3.848e-02, eta: 8:01:05, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4041, top5_acc: 0.6597, loss_cls: 4.9780, loss: 4.9780 +2023-12-21 19:40:01,091 - pyskl - INFO - Epoch [107][1300/1873] lr: 3.839e-02, eta: 8:00:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3909, top5_acc: 0.6549, loss_cls: 5.0040, loss: 5.0040 +2023-12-21 19:40:33,864 - pyskl - INFO - Epoch [107][1400/1873] lr: 3.830e-02, eta: 7:59:52, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3941, top5_acc: 0.6549, loss_cls: 5.0161, loss: 5.0161 +2023-12-21 19:41:07,076 - pyskl - INFO - Epoch [107][1500/1873] lr: 3.821e-02, eta: 7:59:16, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3950, top5_acc: 0.6590, loss_cls: 4.9973, loss: 4.9973 +2023-12-21 19:41:40,246 - pyskl - INFO - Epoch [107][1600/1873] lr: 3.813e-02, eta: 7:58:39, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3948, top5_acc: 0.6554, loss_cls: 4.9871, loss: 4.9871 +2023-12-21 19:42:13,148 - pyskl - INFO - Epoch [107][1700/1873] lr: 3.804e-02, eta: 7:58:02, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3855, top5_acc: 0.6432, loss_cls: 5.0577, loss: 5.0577 +2023-12-21 19:42:46,015 - pyskl - INFO - Epoch [107][1800/1873] lr: 3.795e-02, eta: 7:57:26, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.3866, top5_acc: 0.6487, loss_cls: 5.0455, loss: 5.0455 +2023-12-21 19:43:13,627 - pyskl - INFO - Saving checkpoint at 107 epochs +2023-12-21 19:44:03,420 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 19:44:04,151 - pyskl - INFO - +top1_acc 0.3389 +top5_acc 0.5922 +2023-12-21 19:44:04,151 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 19:44:04,204 - pyskl - INFO - +mean_acc 0.3386 +2023-12-21 19:44:04,210 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_102.pth was removed +2023-12-21 19:44:04,394 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. +2023-12-21 19:44:04,395 - pyskl - INFO - Best top1_acc is 0.3389 at 107 epoch. +2023-12-21 19:44:04,414 - pyskl - INFO - Epoch(val) [107][155] top1_acc: 0.3389, top5_acc: 0.5922, mean_class_accuracy: 0.3386 +2023-12-21 19:45:50,657 - pyskl - INFO - Epoch [108][100/1873] lr: 3.780e-02, eta: 7:56:42, time: 1.062, data_time: 0.690, memory: 8129, top1_acc: 0.4119, top5_acc: 0.6756, loss_cls: 4.9269, loss: 4.9269 +2023-12-21 19:46:23,802 - pyskl - INFO - Epoch [108][200/1873] lr: 3.771e-02, eta: 7:56:06, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4048, top5_acc: 0.6666, loss_cls: 4.9364, loss: 4.9364 +2023-12-21 19:46:56,966 - pyskl - INFO - Epoch [108][300/1873] lr: 3.762e-02, eta: 7:55:29, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3977, top5_acc: 0.6592, loss_cls: 4.9804, loss: 4.9804 +2023-12-21 19:47:30,361 - pyskl - INFO - Epoch [108][400/1873] lr: 3.754e-02, eta: 7:54:53, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4105, top5_acc: 0.6659, loss_cls: 4.9564, loss: 4.9564 +2023-12-21 19:48:03,706 - pyskl - INFO - Epoch [108][500/1873] lr: 3.745e-02, eta: 7:54:16, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4064, top5_acc: 0.6712, loss_cls: 4.9421, loss: 4.9421 +2023-12-21 19:48:37,131 - pyskl - INFO - Epoch [108][600/1873] lr: 3.736e-02, eta: 7:53:40, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3987, top5_acc: 0.6691, loss_cls: 4.9570, loss: 4.9570 +2023-12-21 19:49:10,490 - pyskl - INFO - Epoch [108][700/1873] lr: 3.727e-02, eta: 7:53:04, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3958, top5_acc: 0.6538, loss_cls: 5.0163, loss: 5.0163 +2023-12-21 19:49:43,926 - pyskl - INFO - Epoch [108][800/1873] lr: 3.719e-02, eta: 7:52:27, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3914, top5_acc: 0.6574, loss_cls: 5.0031, loss: 5.0031 +2023-12-21 19:50:17,205 - pyskl - INFO - Epoch [108][900/1873] lr: 3.710e-02, eta: 7:51:51, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4135, top5_acc: 0.6680, loss_cls: 4.9550, loss: 4.9550 +2023-12-21 19:50:50,641 - pyskl - INFO - Epoch [108][1000/1873] lr: 3.701e-02, eta: 7:51:14, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3971, top5_acc: 0.6553, loss_cls: 5.0183, loss: 5.0183 +2023-12-21 19:51:23,950 - pyskl - INFO - Epoch [108][1100/1873] lr: 3.693e-02, eta: 7:50:38, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3976, top5_acc: 0.6553, loss_cls: 4.9931, loss: 4.9931 +2023-12-21 19:51:57,494 - pyskl - INFO - Epoch [108][1200/1873] lr: 3.684e-02, eta: 7:50:02, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.3977, top5_acc: 0.6598, loss_cls: 4.9778, loss: 4.9778 +2023-12-21 19:52:30,955 - pyskl - INFO - Epoch [108][1300/1873] lr: 3.675e-02, eta: 7:49:25, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3956, top5_acc: 0.6567, loss_cls: 4.9961, loss: 4.9961 +2023-12-21 19:53:04,326 - pyskl - INFO - Epoch [108][1400/1873] lr: 3.667e-02, eta: 7:48:49, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4030, top5_acc: 0.6669, loss_cls: 4.9443, loss: 4.9443 +2023-12-21 19:53:37,720 - pyskl - INFO - Epoch [108][1500/1873] lr: 3.658e-02, eta: 7:48:12, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4010, top5_acc: 0.6616, loss_cls: 4.9605, loss: 4.9605 +2023-12-21 19:54:11,085 - pyskl - INFO - Epoch [108][1600/1873] lr: 3.649e-02, eta: 7:47:36, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.3947, top5_acc: 0.6537, loss_cls: 5.0087, loss: 5.0087 +2023-12-21 19:54:44,357 - pyskl - INFO - Epoch [108][1700/1873] lr: 3.641e-02, eta: 7:47:00, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3906, top5_acc: 0.6576, loss_cls: 5.0064, loss: 5.0064 +2023-12-21 19:55:17,646 - pyskl - INFO - Epoch [108][1800/1873] lr: 3.632e-02, eta: 7:46:23, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.3958, top5_acc: 0.6582, loss_cls: 4.9913, loss: 4.9913 +2023-12-21 19:55:45,003 - pyskl - INFO - Saving checkpoint at 108 epochs +2023-12-21 19:56:35,901 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 19:56:36,616 - pyskl - INFO - +top1_acc 0.3421 +top5_acc 0.5991 +2023-12-21 19:56:36,616 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 19:56:36,654 - pyskl - INFO - +mean_acc 0.3419 +2023-12-21 19:56:36,659 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_107.pth was removed +2023-12-21 19:56:36,826 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_108.pth. +2023-12-21 19:56:36,826 - pyskl - INFO - Best top1_acc is 0.3421 at 108 epoch. +2023-12-21 19:56:36,837 - pyskl - INFO - Epoch(val) [108][155] top1_acc: 0.3421, top5_acc: 0.5991, mean_class_accuracy: 0.3419 +2023-12-21 19:58:19,646 - pyskl - INFO - Epoch [109][100/1873] lr: 3.617e-02, eta: 7:45:38, time: 1.028, data_time: 0.699, memory: 8129, top1_acc: 0.4112, top5_acc: 0.6751, loss_cls: 4.9117, loss: 4.9117 +2023-12-21 19:58:52,468 - pyskl - INFO - Epoch [109][200/1873] lr: 3.609e-02, eta: 7:45:01, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.4084, top5_acc: 0.6719, loss_cls: 4.9199, loss: 4.9199 +2023-12-21 19:59:25,596 - pyskl - INFO - Epoch [109][300/1873] lr: 3.600e-02, eta: 7:44:25, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4016, top5_acc: 0.6688, loss_cls: 4.9462, loss: 4.9462 +2023-12-21 19:59:58,676 - pyskl - INFO - Epoch [109][400/1873] lr: 3.591e-02, eta: 7:43:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4055, top5_acc: 0.6642, loss_cls: 4.9530, loss: 4.9530 +2023-12-21 20:00:31,626 - pyskl - INFO - Epoch [109][500/1873] lr: 3.583e-02, eta: 7:43:12, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4027, top5_acc: 0.6663, loss_cls: 4.9339, loss: 4.9339 +2023-12-21 20:01:04,780 - pyskl - INFO - Epoch [109][600/1873] lr: 3.574e-02, eta: 7:42:35, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4036, top5_acc: 0.6625, loss_cls: 4.9451, loss: 4.9451 +2023-12-21 20:01:37,552 - pyskl - INFO - Epoch [109][700/1873] lr: 3.566e-02, eta: 7:41:58, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3968, top5_acc: 0.6586, loss_cls: 4.9809, loss: 4.9809 +2023-12-21 20:02:10,587 - pyskl - INFO - Epoch [109][800/1873] lr: 3.557e-02, eta: 7:41:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4064, top5_acc: 0.6750, loss_cls: 4.9314, loss: 4.9314 +2023-12-21 20:02:43,608 - pyskl - INFO - Epoch [109][900/1873] lr: 3.549e-02, eta: 7:40:45, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3998, top5_acc: 0.6646, loss_cls: 4.9706, loss: 4.9706 +2023-12-21 20:03:16,452 - pyskl - INFO - Epoch [109][1000/1873] lr: 3.540e-02, eta: 7:40:09, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.3986, top5_acc: 0.6603, loss_cls: 4.9841, loss: 4.9841 +2023-12-21 20:03:49,607 - pyskl - INFO - Epoch [109][1100/1873] lr: 3.532e-02, eta: 7:39:32, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4001, top5_acc: 0.6568, loss_cls: 4.9824, loss: 4.9824 +2023-12-21 20:04:22,676 - pyskl - INFO - Epoch [109][1200/1873] lr: 3.523e-02, eta: 7:38:56, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4047, top5_acc: 0.6640, loss_cls: 4.9608, loss: 4.9608 +2023-12-21 20:04:55,848 - pyskl - INFO - Epoch [109][1300/1873] lr: 3.515e-02, eta: 7:38:19, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3970, top5_acc: 0.6647, loss_cls: 4.9688, loss: 4.9688 +2023-12-21 20:05:28,835 - pyskl - INFO - Epoch [109][1400/1873] lr: 3.506e-02, eta: 7:37:43, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4023, top5_acc: 0.6685, loss_cls: 4.9592, loss: 4.9592 +2023-12-21 20:06:01,736 - pyskl - INFO - Epoch [109][1500/1873] lr: 3.498e-02, eta: 7:37:06, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4066, top5_acc: 0.6668, loss_cls: 4.9442, loss: 4.9442 +2023-12-21 20:06:34,826 - pyskl - INFO - Epoch [109][1600/1873] lr: 3.489e-02, eta: 7:36:30, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3998, top5_acc: 0.6557, loss_cls: 5.0221, loss: 5.0221 +2023-12-21 20:07:07,895 - pyskl - INFO - Epoch [109][1700/1873] lr: 3.481e-02, eta: 7:35:53, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4014, top5_acc: 0.6641, loss_cls: 4.9590, loss: 4.9590 +2023-12-21 20:07:40,909 - pyskl - INFO - Epoch [109][1800/1873] lr: 3.472e-02, eta: 7:35:17, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3970, top5_acc: 0.6545, loss_cls: 5.0101, loss: 5.0101 +2023-12-21 20:08:07,988 - pyskl - INFO - Saving checkpoint at 109 epochs +2023-12-21 20:08:58,519 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 20:08:59,585 - pyskl - INFO - +top1_acc 0.3422 +top5_acc 0.5999 +2023-12-21 20:08:59,585 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 20:08:59,640 - pyskl - INFO - +mean_acc 0.3418 +2023-12-21 20:08:59,647 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_108.pth was removed +2023-12-21 20:08:59,889 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_109.pth. +2023-12-21 20:08:59,890 - pyskl - INFO - Best top1_acc is 0.3422 at 109 epoch. +2023-12-21 20:08:59,914 - pyskl - INFO - Epoch(val) [109][155] top1_acc: 0.3422, top5_acc: 0.5999, mean_class_accuracy: 0.3418 +2023-12-21 20:10:41,345 - pyskl - INFO - Epoch [110][100/1873] lr: 3.457e-02, eta: 7:34:30, time: 1.014, data_time: 0.682, memory: 8129, top1_acc: 0.4204, top5_acc: 0.6833, loss_cls: 4.8598, loss: 4.8598 +2023-12-21 20:11:14,351 - pyskl - INFO - Epoch [110][200/1873] lr: 3.449e-02, eta: 7:33:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4125, top5_acc: 0.6766, loss_cls: 4.8930, loss: 4.8930 +2023-12-21 20:11:47,434 - pyskl - INFO - Epoch [110][300/1873] lr: 3.441e-02, eta: 7:33:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4102, top5_acc: 0.6737, loss_cls: 4.9051, loss: 4.9051 +2023-12-21 20:12:20,611 - pyskl - INFO - Epoch [110][400/1873] lr: 3.432e-02, eta: 7:32:41, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4063, top5_acc: 0.6752, loss_cls: 4.9041, loss: 4.9041 +2023-12-21 20:12:53,608 - pyskl - INFO - Epoch [110][500/1873] lr: 3.424e-02, eta: 7:32:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4076, top5_acc: 0.6701, loss_cls: 4.9359, loss: 4.9359 +2023-12-21 20:13:26,562 - pyskl - INFO - Epoch [110][600/1873] lr: 3.415e-02, eta: 7:31:28, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4065, top5_acc: 0.6711, loss_cls: 4.9244, loss: 4.9244 +2023-12-21 20:13:59,740 - pyskl - INFO - Epoch [110][700/1873] lr: 3.407e-02, eta: 7:30:52, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4047, top5_acc: 0.6705, loss_cls: 4.9373, loss: 4.9373 +2023-12-21 20:14:32,789 - pyskl - INFO - Epoch [110][800/1873] lr: 3.398e-02, eta: 7:30:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.3891, top5_acc: 0.6613, loss_cls: 4.9786, loss: 4.9786 +2023-12-21 20:15:05,888 - pyskl - INFO - Epoch [110][900/1873] lr: 3.390e-02, eta: 7:29:39, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4099, top5_acc: 0.6665, loss_cls: 4.9319, loss: 4.9319 +2023-12-21 20:15:39,070 - pyskl - INFO - Epoch [110][1000/1873] lr: 3.382e-02, eta: 7:29:02, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.3999, top5_acc: 0.6595, loss_cls: 4.9732, loss: 4.9732 +2023-12-21 20:16:12,334 - pyskl - INFO - Epoch [110][1100/1873] lr: 3.373e-02, eta: 7:28:26, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4094, top5_acc: 0.6687, loss_cls: 4.9365, loss: 4.9365 +2023-12-21 20:16:45,511 - pyskl - INFO - Epoch [110][1200/1873] lr: 3.365e-02, eta: 7:27:49, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4069, top5_acc: 0.6705, loss_cls: 4.9359, loss: 4.9359 +2023-12-21 20:17:18,635 - pyskl - INFO - Epoch [110][1300/1873] lr: 3.357e-02, eta: 7:27:13, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4034, top5_acc: 0.6695, loss_cls: 4.9332, loss: 4.9332 +2023-12-21 20:17:51,719 - pyskl - INFO - Epoch [110][1400/1873] lr: 3.348e-02, eta: 7:26:36, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3998, top5_acc: 0.6626, loss_cls: 4.9670, loss: 4.9670 +2023-12-21 20:18:24,823 - pyskl - INFO - Epoch [110][1500/1873] lr: 3.340e-02, eta: 7:26:00, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.3972, top5_acc: 0.6665, loss_cls: 4.9619, loss: 4.9619 +2023-12-21 20:18:58,132 - pyskl - INFO - Epoch [110][1600/1873] lr: 3.331e-02, eta: 7:25:24, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4062, top5_acc: 0.6678, loss_cls: 4.9324, loss: 4.9324 +2023-12-21 20:19:31,200 - pyskl - INFO - Epoch [110][1700/1873] lr: 3.323e-02, eta: 7:24:47, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4049, top5_acc: 0.6683, loss_cls: 4.9664, loss: 4.9664 +2023-12-21 20:20:04,153 - pyskl - INFO - Epoch [110][1800/1873] lr: 3.315e-02, eta: 7:24:11, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4015, top5_acc: 0.6653, loss_cls: 4.9591, loss: 4.9591 +2023-12-21 20:20:31,933 - pyskl - INFO - Saving checkpoint at 110 epochs +2023-12-21 20:21:20,749 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 20:21:21,511 - pyskl - INFO - +top1_acc 0.3484 +top5_acc 0.6079 +2023-12-21 20:21:21,511 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 20:21:21,547 - pyskl - INFO - +mean_acc 0.3483 +2023-12-21 20:21:21,553 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_109.pth was removed +2023-12-21 20:21:21,730 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2023-12-21 20:21:21,730 - pyskl - INFO - Best top1_acc is 0.3484 at 110 epoch. +2023-12-21 20:21:21,740 - pyskl - INFO - Epoch(val) [110][155] top1_acc: 0.3484, top5_acc: 0.6079, mean_class_accuracy: 0.3483 +2023-12-21 20:23:01,370 - pyskl - INFO - Epoch [111][100/1873] lr: 3.300e-02, eta: 7:23:23, time: 0.996, data_time: 0.657, memory: 8129, top1_acc: 0.4216, top5_acc: 0.6813, loss_cls: 4.8749, loss: 4.8749 +2023-12-21 20:23:34,575 - pyskl - INFO - Epoch [111][200/1873] lr: 3.292e-02, eta: 7:22:47, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4145, top5_acc: 0.6763, loss_cls: 4.9032, loss: 4.9032 +2023-12-21 20:24:07,932 - pyskl - INFO - Epoch [111][300/1873] lr: 3.284e-02, eta: 7:22:10, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4154, top5_acc: 0.6766, loss_cls: 4.9043, loss: 4.9043 +2023-12-21 20:24:41,314 - pyskl - INFO - Epoch [111][400/1873] lr: 3.276e-02, eta: 7:21:34, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4048, top5_acc: 0.6720, loss_cls: 4.9423, loss: 4.9423 +2023-12-21 20:25:14,688 - pyskl - INFO - Epoch [111][500/1873] lr: 3.267e-02, eta: 7:20:58, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4200, top5_acc: 0.6777, loss_cls: 4.8956, loss: 4.8956 +2023-12-21 20:25:48,242 - pyskl - INFO - Epoch [111][600/1873] lr: 3.259e-02, eta: 7:20:21, time: 0.336, data_time: 0.000, memory: 8129, top1_acc: 0.4092, top5_acc: 0.6777, loss_cls: 4.9146, loss: 4.9146 +2023-12-21 20:26:21,514 - pyskl - INFO - Epoch [111][700/1873] lr: 3.251e-02, eta: 7:19:45, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4060, top5_acc: 0.6721, loss_cls: 4.9236, loss: 4.9236 +2023-12-21 20:26:54,772 - pyskl - INFO - Epoch [111][800/1873] lr: 3.243e-02, eta: 7:19:09, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4143, top5_acc: 0.6740, loss_cls: 4.9059, loss: 4.9059 +2023-12-21 20:27:27,971 - pyskl - INFO - Epoch [111][900/1873] lr: 3.234e-02, eta: 7:18:32, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4045, top5_acc: 0.6705, loss_cls: 4.9286, loss: 4.9286 +2023-12-21 20:28:01,216 - pyskl - INFO - Epoch [111][1000/1873] lr: 3.226e-02, eta: 7:17:56, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4085, top5_acc: 0.6745, loss_cls: 4.9200, loss: 4.9200 +2023-12-21 20:28:34,468 - pyskl - INFO - Epoch [111][1100/1873] lr: 3.218e-02, eta: 7:17:20, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4106, top5_acc: 0.6745, loss_cls: 4.9064, loss: 4.9064 +2023-12-21 20:29:07,636 - pyskl - INFO - Epoch [111][1200/1873] lr: 3.210e-02, eta: 7:16:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4100, top5_acc: 0.6730, loss_cls: 4.9153, loss: 4.9153 +2023-12-21 20:29:40,862 - pyskl - INFO - Epoch [111][1300/1873] lr: 3.201e-02, eta: 7:16:07, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4101, top5_acc: 0.6739, loss_cls: 4.9153, loss: 4.9153 +2023-12-21 20:30:14,267 - pyskl - INFO - Epoch [111][1400/1873] lr: 3.193e-02, eta: 7:15:30, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4081, top5_acc: 0.6727, loss_cls: 4.9262, loss: 4.9262 +2023-12-21 20:30:47,578 - pyskl - INFO - Epoch [111][1500/1873] lr: 3.185e-02, eta: 7:14:54, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4073, top5_acc: 0.6647, loss_cls: 4.9495, loss: 4.9495 +2023-12-21 20:31:20,938 - pyskl - INFO - Epoch [111][1600/1873] lr: 3.177e-02, eta: 7:14:18, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4109, top5_acc: 0.6731, loss_cls: 4.9076, loss: 4.9076 +2023-12-21 20:31:54,411 - pyskl - INFO - Epoch [111][1700/1873] lr: 3.169e-02, eta: 7:13:42, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.4023, top5_acc: 0.6711, loss_cls: 4.9498, loss: 4.9498 +2023-12-21 20:32:27,722 - pyskl - INFO - Epoch [111][1800/1873] lr: 3.161e-02, eta: 7:13:05, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4042, top5_acc: 0.6672, loss_cls: 4.9364, loss: 4.9364 +2023-12-21 20:32:54,987 - pyskl - INFO - Saving checkpoint at 111 epochs +2023-12-21 20:33:45,972 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 20:33:47,035 - pyskl - INFO - +top1_acc 0.3488 +top5_acc 0.6089 +2023-12-21 20:33:47,035 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 20:33:47,084 - pyskl - INFO - +mean_acc 0.3486 +2023-12-21 20:33:47,092 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_110.pth was removed +2023-12-21 20:33:47,351 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2023-12-21 20:33:47,353 - pyskl - INFO - Best top1_acc is 0.3488 at 111 epoch. +2023-12-21 20:33:47,364 - pyskl - INFO - Epoch(val) [111][155] top1_acc: 0.3488, top5_acc: 0.6089, mean_class_accuracy: 0.3486 +2023-12-21 20:35:30,885 - pyskl - INFO - Epoch [112][100/1873] lr: 3.146e-02, eta: 7:12:18, time: 1.035, data_time: 0.704, memory: 8129, top1_acc: 0.4243, top5_acc: 0.6864, loss_cls: 4.8394, loss: 4.8394 +2023-12-21 20:36:03,998 - pyskl - INFO - Epoch [112][200/1873] lr: 3.138e-02, eta: 7:11:42, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4201, top5_acc: 0.6837, loss_cls: 4.8585, loss: 4.8585 +2023-12-21 20:36:37,269 - pyskl - INFO - Epoch [112][300/1873] lr: 3.130e-02, eta: 7:11:06, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4212, top5_acc: 0.6827, loss_cls: 4.8696, loss: 4.8696 +2023-12-21 20:37:10,435 - pyskl - INFO - Epoch [112][400/1873] lr: 3.122e-02, eta: 7:10:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4166, top5_acc: 0.6793, loss_cls: 4.8761, loss: 4.8761 +2023-12-21 20:37:43,660 - pyskl - INFO - Epoch [112][500/1873] lr: 3.114e-02, eta: 7:09:53, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4118, top5_acc: 0.6704, loss_cls: 4.9186, loss: 4.9186 +2023-12-21 20:38:16,896 - pyskl - INFO - Epoch [112][600/1873] lr: 3.106e-02, eta: 7:09:17, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4125, top5_acc: 0.6767, loss_cls: 4.8910, loss: 4.8910 +2023-12-21 20:38:50,307 - pyskl - INFO - Epoch [112][700/1873] lr: 3.098e-02, eta: 7:08:40, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4142, top5_acc: 0.6737, loss_cls: 4.9079, loss: 4.9079 +2023-12-21 20:39:23,786 - pyskl - INFO - Epoch [112][800/1873] lr: 3.090e-02, eta: 7:08:04, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.4145, top5_acc: 0.6716, loss_cls: 4.8862, loss: 4.8862 +2023-12-21 20:39:56,913 - pyskl - INFO - Epoch [112][900/1873] lr: 3.082e-02, eta: 7:07:28, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4082, top5_acc: 0.6759, loss_cls: 4.9009, loss: 4.9009 +2023-12-21 20:40:30,148 - pyskl - INFO - Epoch [112][1000/1873] lr: 3.074e-02, eta: 7:06:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4121, top5_acc: 0.6741, loss_cls: 4.9055, loss: 4.9055 +2023-12-21 20:41:03,071 - pyskl - INFO - Epoch [112][1100/1873] lr: 3.065e-02, eta: 7:06:15, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4152, top5_acc: 0.6748, loss_cls: 4.9090, loss: 4.9090 +2023-12-21 20:41:36,226 - pyskl - INFO - Epoch [112][1200/1873] lr: 3.057e-02, eta: 7:05:38, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4123, top5_acc: 0.6744, loss_cls: 4.8923, loss: 4.8923 +2023-12-21 20:42:09,366 - pyskl - INFO - Epoch [112][1300/1873] lr: 3.049e-02, eta: 7:05:02, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4123, top5_acc: 0.6748, loss_cls: 4.9153, loss: 4.9153 +2023-12-21 20:42:42,483 - pyskl - INFO - Epoch [112][1400/1873] lr: 3.041e-02, eta: 7:04:26, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4126, top5_acc: 0.6709, loss_cls: 4.9207, loss: 4.9207 +2023-12-21 20:43:15,681 - pyskl - INFO - Epoch [112][1500/1873] lr: 3.033e-02, eta: 7:03:49, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4151, top5_acc: 0.6673, loss_cls: 4.9189, loss: 4.9189 +2023-12-21 20:43:48,844 - pyskl - INFO - Epoch [112][1600/1873] lr: 3.025e-02, eta: 7:03:13, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4138, top5_acc: 0.6713, loss_cls: 4.9108, loss: 4.9108 +2023-12-21 20:44:22,057 - pyskl - INFO - Epoch [112][1700/1873] lr: 3.017e-02, eta: 7:02:37, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4097, top5_acc: 0.6691, loss_cls: 4.9232, loss: 4.9232 +2023-12-21 20:44:55,205 - pyskl - INFO - Epoch [112][1800/1873] lr: 3.009e-02, eta: 7:02:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4062, top5_acc: 0.6709, loss_cls: 4.9223, loss: 4.9223 +2023-12-21 20:45:22,485 - pyskl - INFO - Saving checkpoint at 112 epochs +2023-12-21 20:46:12,380 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 20:46:13,432 - pyskl - INFO - +top1_acc 0.3553 +top5_acc 0.6150 +2023-12-21 20:46:13,433 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 20:46:13,476 - pyskl - INFO - +mean_acc 0.3549 +2023-12-21 20:46:13,483 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_111.pth was removed +2023-12-21 20:46:13,717 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. +2023-12-21 20:46:13,717 - pyskl - INFO - Best top1_acc is 0.3553 at 112 epoch. +2023-12-21 20:46:13,728 - pyskl - INFO - Epoch(val) [112][155] top1_acc: 0.3553, top5_acc: 0.6150, mean_class_accuracy: 0.3549 +2023-12-21 20:47:55,306 - pyskl - INFO - Epoch [113][100/1873] lr: 2.995e-02, eta: 7:01:12, time: 1.016, data_time: 0.684, memory: 8129, top1_acc: 0.4210, top5_acc: 0.6889, loss_cls: 4.8336, loss: 4.8336 +2023-12-21 20:48:28,308 - pyskl - INFO - Epoch [113][200/1873] lr: 2.987e-02, eta: 7:00:36, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4256, top5_acc: 0.6865, loss_cls: 4.8335, loss: 4.8335 +2023-12-21 20:49:01,560 - pyskl - INFO - Epoch [113][300/1873] lr: 2.980e-02, eta: 7:00:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4274, top5_acc: 0.6855, loss_cls: 4.8429, loss: 4.8429 +2023-12-21 20:49:34,834 - pyskl - INFO - Epoch [113][400/1873] lr: 2.972e-02, eta: 6:59:23, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4171, top5_acc: 0.6808, loss_cls: 4.8690, loss: 4.8690 +2023-12-21 20:50:08,060 - pyskl - INFO - Epoch [113][500/1873] lr: 2.964e-02, eta: 6:58:47, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4120, top5_acc: 0.6753, loss_cls: 4.8953, loss: 4.8953 +2023-12-21 20:50:41,258 - pyskl - INFO - Epoch [113][600/1873] lr: 2.956e-02, eta: 6:58:11, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4130, top5_acc: 0.6797, loss_cls: 4.8907, loss: 4.8907 +2023-12-21 20:51:14,648 - pyskl - INFO - Epoch [113][700/1873] lr: 2.948e-02, eta: 6:57:34, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4208, top5_acc: 0.6789, loss_cls: 4.8705, loss: 4.8705 +2023-12-21 20:51:48,364 - pyskl - INFO - Epoch [113][800/1873] lr: 2.940e-02, eta: 6:56:58, time: 0.337, data_time: 0.000, memory: 8129, top1_acc: 0.4217, top5_acc: 0.6780, loss_cls: 4.8659, loss: 4.8659 +2023-12-21 20:52:21,796 - pyskl - INFO - Epoch [113][900/1873] lr: 2.932e-02, eta: 6:56:22, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4027, top5_acc: 0.6684, loss_cls: 4.9419, loss: 4.9419 +2023-12-21 20:52:55,123 - pyskl - INFO - Epoch [113][1000/1873] lr: 2.924e-02, eta: 6:55:46, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4280, top5_acc: 0.6881, loss_cls: 4.8416, loss: 4.8416 +2023-12-21 20:53:28,490 - pyskl - INFO - Epoch [113][1100/1873] lr: 2.916e-02, eta: 6:55:09, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4119, top5_acc: 0.6760, loss_cls: 4.8966, loss: 4.8966 +2023-12-21 20:54:01,723 - pyskl - INFO - Epoch [113][1200/1873] lr: 2.908e-02, eta: 6:54:33, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4193, top5_acc: 0.6775, loss_cls: 4.8756, loss: 4.8756 +2023-12-21 20:54:35,189 - pyskl - INFO - Epoch [113][1300/1873] lr: 2.900e-02, eta: 6:53:57, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.4258, top5_acc: 0.6843, loss_cls: 4.8460, loss: 4.8460 +2023-12-21 20:55:08,494 - pyskl - INFO - Epoch [113][1400/1873] lr: 2.892e-02, eta: 6:53:21, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4116, top5_acc: 0.6741, loss_cls: 4.8950, loss: 4.8950 +2023-12-21 20:55:41,780 - pyskl - INFO - Epoch [113][1500/1873] lr: 2.885e-02, eta: 6:52:44, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4126, top5_acc: 0.6774, loss_cls: 4.8978, loss: 4.8978 +2023-12-21 20:56:15,166 - pyskl - INFO - Epoch [113][1600/1873] lr: 2.877e-02, eta: 6:52:08, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4141, top5_acc: 0.6809, loss_cls: 4.8803, loss: 4.8803 +2023-12-21 20:56:48,601 - pyskl - INFO - Epoch [113][1700/1873] lr: 2.869e-02, eta: 6:51:32, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4191, top5_acc: 0.6748, loss_cls: 4.9014, loss: 4.9014 +2023-12-21 20:57:21,951 - pyskl - INFO - Epoch [113][1800/1873] lr: 2.861e-02, eta: 6:50:55, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4180, top5_acc: 0.6776, loss_cls: 4.8906, loss: 4.8906 +2023-12-21 20:57:49,342 - pyskl - INFO - Saving checkpoint at 113 epochs +2023-12-21 20:58:40,274 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 20:58:41,110 - pyskl - INFO - +top1_acc 0.3621 +top5_acc 0.6209 +2023-12-21 20:58:41,111 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 20:58:41,148 - pyskl - INFO - +mean_acc 0.3617 +2023-12-21 20:58:41,154 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_112.pth was removed +2023-12-21 20:58:41,331 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. +2023-12-21 20:58:41,332 - pyskl - INFO - Best top1_acc is 0.3621 at 113 epoch. +2023-12-21 20:58:41,342 - pyskl - INFO - Epoch(val) [113][155] top1_acc: 0.3621, top5_acc: 0.6209, mean_class_accuracy: 0.3617 +2023-12-21 21:00:24,705 - pyskl - INFO - Epoch [114][100/1873] lr: 2.848e-02, eta: 6:50:08, time: 1.033, data_time: 0.663, memory: 8129, top1_acc: 0.4344, top5_acc: 0.6924, loss_cls: 4.7783, loss: 4.7783 +2023-12-21 21:00:58,172 - pyskl - INFO - Epoch [114][200/1873] lr: 2.840e-02, eta: 6:49:31, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.4302, top5_acc: 0.6921, loss_cls: 4.8020, loss: 4.8020 +2023-12-21 21:01:31,375 - pyskl - INFO - Epoch [114][300/1873] lr: 2.832e-02, eta: 6:48:55, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4218, top5_acc: 0.6821, loss_cls: 4.8550, loss: 4.8550 +2023-12-21 21:02:04,816 - pyskl - INFO - Epoch [114][400/1873] lr: 2.824e-02, eta: 6:48:19, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4237, top5_acc: 0.6855, loss_cls: 4.8345, loss: 4.8345 +2023-12-21 21:02:37,964 - pyskl - INFO - Epoch [114][500/1873] lr: 2.816e-02, eta: 6:47:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4136, top5_acc: 0.6760, loss_cls: 4.8914, loss: 4.8914 +2023-12-21 21:03:11,514 - pyskl - INFO - Epoch [114][600/1873] lr: 2.809e-02, eta: 6:47:06, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.4265, top5_acc: 0.6830, loss_cls: 4.8476, loss: 4.8476 +2023-12-21 21:03:45,092 - pyskl - INFO - Epoch [114][700/1873] lr: 2.801e-02, eta: 6:46:30, time: 0.336, data_time: 0.000, memory: 8129, top1_acc: 0.4189, top5_acc: 0.6874, loss_cls: 4.8489, loss: 4.8489 +2023-12-21 21:04:18,661 - pyskl - INFO - Epoch [114][800/1873] lr: 2.793e-02, eta: 6:45:54, time: 0.336, data_time: 0.000, memory: 8129, top1_acc: 0.4232, top5_acc: 0.6910, loss_cls: 4.8434, loss: 4.8434 +2023-12-21 21:04:52,060 - pyskl - INFO - Epoch [114][900/1873] lr: 2.785e-02, eta: 6:45:18, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4230, top5_acc: 0.6877, loss_cls: 4.8393, loss: 4.8393 +2023-12-21 21:05:25,474 - pyskl - INFO - Epoch [114][1000/1873] lr: 2.778e-02, eta: 6:44:41, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4163, top5_acc: 0.6798, loss_cls: 4.8805, loss: 4.8805 +2023-12-21 21:05:58,954 - pyskl - INFO - Epoch [114][1100/1873] lr: 2.770e-02, eta: 6:44:05, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.4223, top5_acc: 0.6798, loss_cls: 4.8623, loss: 4.8623 +2023-12-21 21:06:32,558 - pyskl - INFO - Epoch [114][1200/1873] lr: 2.762e-02, eta: 6:43:29, time: 0.336, data_time: 0.000, memory: 8129, top1_acc: 0.4280, top5_acc: 0.6859, loss_cls: 4.8569, loss: 4.8569 +2023-12-21 21:07:06,223 - pyskl - INFO - Epoch [114][1300/1873] lr: 2.754e-02, eta: 6:42:53, time: 0.337, data_time: 0.000, memory: 8129, top1_acc: 0.4227, top5_acc: 0.6811, loss_cls: 4.8760, loss: 4.8760 +2023-12-21 21:07:39,846 - pyskl - INFO - Epoch [114][1400/1873] lr: 2.747e-02, eta: 6:42:17, time: 0.336, data_time: 0.000, memory: 8129, top1_acc: 0.4153, top5_acc: 0.6776, loss_cls: 4.8823, loss: 4.8823 +2023-12-21 21:08:13,262 - pyskl - INFO - Epoch [114][1500/1873] lr: 2.739e-02, eta: 6:41:41, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4185, top5_acc: 0.6753, loss_cls: 4.8749, loss: 4.8749 +2023-12-21 21:08:46,850 - pyskl - INFO - Epoch [114][1600/1873] lr: 2.731e-02, eta: 6:41:04, time: 0.336, data_time: 0.000, memory: 8129, top1_acc: 0.4052, top5_acc: 0.6713, loss_cls: 4.9132, loss: 4.9132 +2023-12-21 21:09:20,225 - pyskl - INFO - Epoch [114][1700/1873] lr: 2.724e-02, eta: 6:40:28, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4248, top5_acc: 0.6811, loss_cls: 4.8767, loss: 4.8767 +2023-12-21 21:09:53,980 - pyskl - INFO - Epoch [114][1800/1873] lr: 2.716e-02, eta: 6:39:52, time: 0.338, data_time: 0.000, memory: 8129, top1_acc: 0.4213, top5_acc: 0.6778, loss_cls: 4.8890, loss: 4.8890 +2023-12-21 21:10:21,819 - pyskl - INFO - Saving checkpoint at 114 epochs +2023-12-21 21:11:12,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 21:11:13,510 - pyskl - INFO - +top1_acc 0.3622 +top5_acc 0.6186 +2023-12-21 21:11:13,510 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 21:11:13,552 - pyskl - INFO - +mean_acc 0.3619 +2023-12-21 21:11:13,559 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_113.pth was removed +2023-12-21 21:11:13,745 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2023-12-21 21:11:13,745 - pyskl - INFO - Best top1_acc is 0.3622 at 114 epoch. +2023-12-21 21:11:13,755 - pyskl - INFO - Epoch(val) [114][155] top1_acc: 0.3622, top5_acc: 0.6186, mean_class_accuracy: 0.3619 +2023-12-21 21:12:54,098 - pyskl - INFO - Epoch [115][100/1873] lr: 2.703e-02, eta: 6:39:03, time: 1.003, data_time: 0.668, memory: 8129, top1_acc: 0.4389, top5_acc: 0.7001, loss_cls: 4.7656, loss: 4.7656 +2023-12-21 21:13:27,080 - pyskl - INFO - Epoch [115][200/1873] lr: 2.695e-02, eta: 6:38:26, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4304, top5_acc: 0.6960, loss_cls: 4.8019, loss: 4.8019 +2023-12-21 21:14:00,048 - pyskl - INFO - Epoch [115][300/1873] lr: 2.687e-02, eta: 6:37:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4270, top5_acc: 0.6912, loss_cls: 4.8082, loss: 4.8082 +2023-12-21 21:14:33,200 - pyskl - INFO - Epoch [115][400/1873] lr: 2.680e-02, eta: 6:37:14, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4266, top5_acc: 0.6923, loss_cls: 4.8134, loss: 4.8134 +2023-12-21 21:15:06,597 - pyskl - INFO - Epoch [115][500/1873] lr: 2.672e-02, eta: 6:36:37, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4300, top5_acc: 0.6904, loss_cls: 4.8265, loss: 4.8265 +2023-12-21 21:15:40,055 - pyskl - INFO - Epoch [115][600/1873] lr: 2.665e-02, eta: 6:36:01, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.4234, top5_acc: 0.6832, loss_cls: 4.8425, loss: 4.8425 +2023-12-21 21:16:13,357 - pyskl - INFO - Epoch [115][700/1873] lr: 2.657e-02, eta: 6:35:25, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4288, top5_acc: 0.6913, loss_cls: 4.8178, loss: 4.8178 +2023-12-21 21:16:46,773 - pyskl - INFO - Epoch [115][800/1873] lr: 2.649e-02, eta: 6:34:49, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4273, top5_acc: 0.6830, loss_cls: 4.8291, loss: 4.8291 +2023-12-21 21:17:20,229 - pyskl - INFO - Epoch [115][900/1873] lr: 2.642e-02, eta: 6:34:13, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.4216, top5_acc: 0.6792, loss_cls: 4.8621, loss: 4.8621 +2023-12-21 21:17:53,603 - pyskl - INFO - Epoch [115][1000/1873] lr: 2.634e-02, eta: 6:33:36, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4266, top5_acc: 0.6845, loss_cls: 4.8310, loss: 4.8310 +2023-12-21 21:18:26,914 - pyskl - INFO - Epoch [115][1100/1873] lr: 2.627e-02, eta: 6:33:00, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4283, top5_acc: 0.6892, loss_cls: 4.8326, loss: 4.8326 +2023-12-21 21:19:00,037 - pyskl - INFO - Epoch [115][1200/1873] lr: 2.619e-02, eta: 6:32:24, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4229, top5_acc: 0.6891, loss_cls: 4.8192, loss: 4.8192 +2023-12-21 21:19:33,452 - pyskl - INFO - Epoch [115][1300/1873] lr: 2.612e-02, eta: 6:31:48, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4163, top5_acc: 0.6795, loss_cls: 4.8823, loss: 4.8823 +2023-12-21 21:20:06,883 - pyskl - INFO - Epoch [115][1400/1873] lr: 2.604e-02, eta: 6:31:11, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4302, top5_acc: 0.6882, loss_cls: 4.8247, loss: 4.8247 +2023-12-21 21:20:40,150 - pyskl - INFO - Epoch [115][1500/1873] lr: 2.597e-02, eta: 6:30:35, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4206, top5_acc: 0.6833, loss_cls: 4.8727, loss: 4.8727 +2023-12-21 21:21:13,526 - pyskl - INFO - Epoch [115][1600/1873] lr: 2.589e-02, eta: 6:29:59, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4275, top5_acc: 0.6845, loss_cls: 4.8648, loss: 4.8648 +2023-12-21 21:21:46,953 - pyskl - INFO - Epoch [115][1700/1873] lr: 2.582e-02, eta: 6:29:23, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4192, top5_acc: 0.6770, loss_cls: 4.8729, loss: 4.8729 +2023-12-21 21:22:20,375 - pyskl - INFO - Epoch [115][1800/1873] lr: 2.574e-02, eta: 6:28:47, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4238, top5_acc: 0.6858, loss_cls: 4.8521, loss: 4.8521 +2023-12-21 21:22:47,953 - pyskl - INFO - Saving checkpoint at 115 epochs +2023-12-21 21:23:39,432 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 21:23:40,155 - pyskl - INFO - +top1_acc 0.3636 +top5_acc 0.6221 +2023-12-21 21:23:40,155 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 21:23:40,192 - pyskl - INFO - +mean_acc 0.3634 +2023-12-21 21:23:40,198 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_114.pth was removed +2023-12-21 21:23:40,377 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. +2023-12-21 21:23:40,378 - pyskl - INFO - Best top1_acc is 0.3636 at 115 epoch. +2023-12-21 21:23:40,388 - pyskl - INFO - Epoch(val) [115][155] top1_acc: 0.3636, top5_acc: 0.6221, mean_class_accuracy: 0.3634 +2023-12-21 21:25:20,177 - pyskl - INFO - Epoch [116][100/1873] lr: 2.561e-02, eta: 6:27:57, time: 0.998, data_time: 0.635, memory: 8129, top1_acc: 0.4362, top5_acc: 0.7013, loss_cls: 4.7811, loss: 4.7811 +2023-12-21 21:25:53,142 - pyskl - INFO - Epoch [116][200/1873] lr: 2.554e-02, eta: 6:27:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4313, top5_acc: 0.6970, loss_cls: 4.7863, loss: 4.7863 +2023-12-21 21:26:26,266 - pyskl - INFO - Epoch [116][300/1873] lr: 2.546e-02, eta: 6:26:44, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4287, top5_acc: 0.6898, loss_cls: 4.8164, loss: 4.8164 +2023-12-21 21:26:59,198 - pyskl - INFO - Epoch [116][400/1873] lr: 2.539e-02, eta: 6:26:08, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4257, top5_acc: 0.6963, loss_cls: 4.7881, loss: 4.7881 +2023-12-21 21:27:32,375 - pyskl - INFO - Epoch [116][500/1873] lr: 2.531e-02, eta: 6:25:31, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4255, top5_acc: 0.6875, loss_cls: 4.8350, loss: 4.8350 +2023-12-21 21:28:05,465 - pyskl - INFO - Epoch [116][600/1873] lr: 2.524e-02, eta: 6:24:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4266, top5_acc: 0.6890, loss_cls: 4.8341, loss: 4.8341 +2023-12-21 21:28:38,649 - pyskl - INFO - Epoch [116][700/1873] lr: 2.516e-02, eta: 6:24:19, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4291, top5_acc: 0.6908, loss_cls: 4.8173, loss: 4.8173 +2023-12-21 21:29:11,883 - pyskl - INFO - Epoch [116][800/1873] lr: 2.509e-02, eta: 6:23:43, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4308, top5_acc: 0.6891, loss_cls: 4.8358, loss: 4.8358 +2023-12-21 21:29:45,396 - pyskl - INFO - Epoch [116][900/1873] lr: 2.502e-02, eta: 6:23:06, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.4293, top5_acc: 0.6930, loss_cls: 4.8024, loss: 4.8024 +2023-12-21 21:30:18,794 - pyskl - INFO - Epoch [116][1000/1873] lr: 2.494e-02, eta: 6:22:30, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4282, top5_acc: 0.6887, loss_cls: 4.8228, loss: 4.8228 +2023-12-21 21:30:51,961 - pyskl - INFO - Epoch [116][1100/1873] lr: 2.487e-02, eta: 6:21:54, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4316, top5_acc: 0.6892, loss_cls: 4.8325, loss: 4.8325 +2023-12-21 21:31:25,199 - pyskl - INFO - Epoch [116][1200/1873] lr: 2.480e-02, eta: 6:21:18, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4348, top5_acc: 0.6958, loss_cls: 4.7960, loss: 4.7960 +2023-12-21 21:31:58,621 - pyskl - INFO - Epoch [116][1300/1873] lr: 2.472e-02, eta: 6:20:42, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4333, top5_acc: 0.6891, loss_cls: 4.8103, loss: 4.8103 +2023-12-21 21:32:32,199 - pyskl - INFO - Epoch [116][1400/1873] lr: 2.465e-02, eta: 6:20:05, time: 0.336, data_time: 0.000, memory: 8129, top1_acc: 0.4223, top5_acc: 0.6892, loss_cls: 4.8351, loss: 4.8351 +2023-12-21 21:33:05,470 - pyskl - INFO - Epoch [116][1500/1873] lr: 2.457e-02, eta: 6:19:29, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4278, top5_acc: 0.6852, loss_cls: 4.8316, loss: 4.8316 +2023-12-21 21:33:38,672 - pyskl - INFO - Epoch [116][1600/1873] lr: 2.450e-02, eta: 6:18:53, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4256, top5_acc: 0.6913, loss_cls: 4.8276, loss: 4.8276 +2023-12-21 21:34:11,878 - pyskl - INFO - Epoch [116][1700/1873] lr: 2.443e-02, eta: 6:18:17, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4210, top5_acc: 0.6861, loss_cls: 4.8539, loss: 4.8539 +2023-12-21 21:34:45,068 - pyskl - INFO - Epoch [116][1800/1873] lr: 2.435e-02, eta: 6:17:40, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4250, top5_acc: 0.6887, loss_cls: 4.8425, loss: 4.8425 +2023-12-21 21:35:12,650 - pyskl - INFO - Saving checkpoint at 116 epochs +2023-12-21 21:36:02,868 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 21:36:03,610 - pyskl - INFO - +top1_acc 0.3656 +top5_acc 0.6267 +2023-12-21 21:36:03,610 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 21:36:03,646 - pyskl - INFO - +mean_acc 0.3654 +2023-12-21 21:36:03,653 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_115.pth was removed +2023-12-21 21:36:03,832 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2023-12-21 21:36:03,833 - pyskl - INFO - Best top1_acc is 0.3656 at 116 epoch. +2023-12-21 21:36:03,843 - pyskl - INFO - Epoch(val) [116][155] top1_acc: 0.3656, top5_acc: 0.6267, mean_class_accuracy: 0.3654 +2023-12-21 21:37:48,409 - pyskl - INFO - Epoch [117][100/1873] lr: 2.423e-02, eta: 6:16:52, time: 1.045, data_time: 0.680, memory: 8129, top1_acc: 0.4493, top5_acc: 0.7067, loss_cls: 4.7178, loss: 4.7178 +2023-12-21 21:38:21,345 - pyskl - INFO - Epoch [117][200/1873] lr: 2.416e-02, eta: 6:16:15, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4387, top5_acc: 0.7000, loss_cls: 4.7690, loss: 4.7690 +2023-12-21 21:38:54,423 - pyskl - INFO - Epoch [117][300/1873] lr: 2.408e-02, eta: 6:15:39, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4424, top5_acc: 0.7016, loss_cls: 4.7427, loss: 4.7427 +2023-12-21 21:39:27,581 - pyskl - INFO - Epoch [117][400/1873] lr: 2.401e-02, eta: 6:15:03, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4427, top5_acc: 0.7007, loss_cls: 4.7439, loss: 4.7439 +2023-12-21 21:40:00,828 - pyskl - INFO - Epoch [117][500/1873] lr: 2.394e-02, eta: 6:14:26, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4325, top5_acc: 0.6937, loss_cls: 4.7930, loss: 4.7930 +2023-12-21 21:40:34,044 - pyskl - INFO - Epoch [117][600/1873] lr: 2.386e-02, eta: 6:13:50, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4345, top5_acc: 0.6908, loss_cls: 4.8039, loss: 4.8039 +2023-12-21 21:41:07,208 - pyskl - INFO - Epoch [117][700/1873] lr: 2.379e-02, eta: 6:13:14, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4393, top5_acc: 0.7041, loss_cls: 4.7595, loss: 4.7595 +2023-12-21 21:41:40,501 - pyskl - INFO - Epoch [117][800/1873] lr: 2.372e-02, eta: 6:12:38, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4316, top5_acc: 0.6884, loss_cls: 4.8198, loss: 4.8198 +2023-12-21 21:42:13,743 - pyskl - INFO - Epoch [117][900/1873] lr: 2.365e-02, eta: 6:12:02, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4262, top5_acc: 0.6889, loss_cls: 4.8152, loss: 4.8152 +2023-12-21 21:42:47,124 - pyskl - INFO - Epoch [117][1000/1873] lr: 2.358e-02, eta: 6:11:25, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4388, top5_acc: 0.6977, loss_cls: 4.7688, loss: 4.7688 +2023-12-21 21:43:20,362 - pyskl - INFO - Epoch [117][1100/1873] lr: 2.350e-02, eta: 6:10:49, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4351, top5_acc: 0.6982, loss_cls: 4.7682, loss: 4.7682 +2023-12-21 21:43:53,569 - pyskl - INFO - Epoch [117][1200/1873] lr: 2.343e-02, eta: 6:10:13, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4318, top5_acc: 0.6933, loss_cls: 4.8068, loss: 4.8068 +2023-12-21 21:44:26,632 - pyskl - INFO - Epoch [117][1300/1873] lr: 2.336e-02, eta: 6:09:37, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4303, top5_acc: 0.6923, loss_cls: 4.8056, loss: 4.8056 +2023-12-21 21:44:59,770 - pyskl - INFO - Epoch [117][1400/1873] lr: 2.329e-02, eta: 6:09:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4340, top5_acc: 0.6960, loss_cls: 4.8012, loss: 4.8012 +2023-12-21 21:45:32,955 - pyskl - INFO - Epoch [117][1500/1873] lr: 2.322e-02, eta: 6:08:24, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4255, top5_acc: 0.6845, loss_cls: 4.8428, loss: 4.8428 +2023-12-21 21:46:06,146 - pyskl - INFO - Epoch [117][1600/1873] lr: 2.314e-02, eta: 6:07:48, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4177, top5_acc: 0.6855, loss_cls: 4.8583, loss: 4.8583 +2023-12-21 21:46:39,120 - pyskl - INFO - Epoch [117][1700/1873] lr: 2.307e-02, eta: 6:07:12, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4316, top5_acc: 0.6931, loss_cls: 4.7993, loss: 4.7993 +2023-12-21 21:47:12,231 - pyskl - INFO - Epoch [117][1800/1873] lr: 2.300e-02, eta: 6:06:35, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4283, top5_acc: 0.6870, loss_cls: 4.8226, loss: 4.8226 +2023-12-21 21:47:39,948 - pyskl - INFO - Saving checkpoint at 117 epochs +2023-12-21 21:48:29,951 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 21:48:30,690 - pyskl - INFO - +top1_acc 0.3709 +top5_acc 0.6297 +2023-12-21 21:48:30,690 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 21:48:30,728 - pyskl - INFO - +mean_acc 0.3706 +2023-12-21 21:48:30,734 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_116.pth was removed +2023-12-21 21:48:30,911 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. +2023-12-21 21:48:30,912 - pyskl - INFO - Best top1_acc is 0.3709 at 117 epoch. +2023-12-21 21:48:30,922 - pyskl - INFO - Epoch(val) [117][155] top1_acc: 0.3709, top5_acc: 0.6297, mean_class_accuracy: 0.3706 +2023-12-21 21:50:15,465 - pyskl - INFO - Epoch [118][100/1873] lr: 2.288e-02, eta: 6:05:46, time: 1.045, data_time: 0.714, memory: 8129, top1_acc: 0.4490, top5_acc: 0.7084, loss_cls: 4.7105, loss: 4.7105 +2023-12-21 21:50:48,570 - pyskl - INFO - Epoch [118][200/1873] lr: 2.281e-02, eta: 6:05:10, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4437, top5_acc: 0.7028, loss_cls: 4.7417, loss: 4.7417 +2023-12-21 21:51:21,750 - pyskl - INFO - Epoch [118][300/1873] lr: 2.274e-02, eta: 6:04:34, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4419, top5_acc: 0.7016, loss_cls: 4.7421, loss: 4.7421 +2023-12-21 21:51:55,021 - pyskl - INFO - Epoch [118][400/1873] lr: 2.267e-02, eta: 6:03:57, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4302, top5_acc: 0.6976, loss_cls: 4.7781, loss: 4.7781 +2023-12-21 21:52:28,283 - pyskl - INFO - Epoch [118][500/1873] lr: 2.259e-02, eta: 6:03:21, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4383, top5_acc: 0.6992, loss_cls: 4.7599, loss: 4.7599 +2023-12-21 21:53:01,386 - pyskl - INFO - Epoch [118][600/1873] lr: 2.252e-02, eta: 6:02:45, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4391, top5_acc: 0.7027, loss_cls: 4.7583, loss: 4.7583 +2023-12-21 21:53:34,626 - pyskl - INFO - Epoch [118][700/1873] lr: 2.245e-02, eta: 6:02:09, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4410, top5_acc: 0.7012, loss_cls: 4.7615, loss: 4.7615 +2023-12-21 21:54:07,900 - pyskl - INFO - Epoch [118][800/1873] lr: 2.238e-02, eta: 6:01:33, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4366, top5_acc: 0.6999, loss_cls: 4.7703, loss: 4.7703 +2023-12-21 21:54:41,019 - pyskl - INFO - Epoch [118][900/1873] lr: 2.231e-02, eta: 6:00:56, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4489, top5_acc: 0.7023, loss_cls: 4.7401, loss: 4.7401 +2023-12-21 21:55:14,098 - pyskl - INFO - Epoch [118][1000/1873] lr: 2.224e-02, eta: 6:00:20, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4357, top5_acc: 0.6986, loss_cls: 4.7704, loss: 4.7704 +2023-12-21 21:55:47,334 - pyskl - INFO - Epoch [118][1100/1873] lr: 2.217e-02, eta: 5:59:44, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4376, top5_acc: 0.7002, loss_cls: 4.7578, loss: 4.7578 +2023-12-21 21:56:20,536 - pyskl - INFO - Epoch [118][1200/1873] lr: 2.210e-02, eta: 5:59:08, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4312, top5_acc: 0.6925, loss_cls: 4.7842, loss: 4.7842 +2023-12-21 21:56:53,753 - pyskl - INFO - Epoch [118][1300/1873] lr: 2.203e-02, eta: 5:58:31, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4362, top5_acc: 0.6921, loss_cls: 4.7940, loss: 4.7940 +2023-12-21 21:57:26,888 - pyskl - INFO - Epoch [118][1400/1873] lr: 2.196e-02, eta: 5:57:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4304, top5_acc: 0.6981, loss_cls: 4.7817, loss: 4.7817 +2023-12-21 21:58:00,069 - pyskl - INFO - Epoch [118][1500/1873] lr: 2.189e-02, eta: 5:57:19, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4285, top5_acc: 0.6943, loss_cls: 4.8155, loss: 4.8155 +2023-12-21 21:58:33,183 - pyskl - INFO - Epoch [118][1600/1873] lr: 2.182e-02, eta: 5:56:43, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4384, top5_acc: 0.6933, loss_cls: 4.7923, loss: 4.7923 +2023-12-21 21:59:06,173 - pyskl - INFO - Epoch [118][1700/1873] lr: 2.175e-02, eta: 5:56:07, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4285, top5_acc: 0.6863, loss_cls: 4.8154, loss: 4.8154 +2023-12-21 21:59:39,370 - pyskl - INFO - Epoch [118][1800/1873] lr: 2.168e-02, eta: 5:55:30, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4290, top5_acc: 0.6862, loss_cls: 4.8170, loss: 4.8170 +2023-12-21 22:00:07,116 - pyskl - INFO - Saving checkpoint at 118 epochs +2023-12-21 22:00:59,498 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 22:01:00,559 - pyskl - INFO - +top1_acc 0.3762 +top5_acc 0.6351 +2023-12-21 22:01:00,560 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 22:01:00,602 - pyskl - INFO - +mean_acc 0.3758 +2023-12-21 22:01:00,609 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_117.pth was removed +2023-12-21 22:01:00,847 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. +2023-12-21 22:01:00,848 - pyskl - INFO - Best top1_acc is 0.3762 at 118 epoch. +2023-12-21 22:01:00,858 - pyskl - INFO - Epoch(val) [118][155] top1_acc: 0.3762, top5_acc: 0.6351, mean_class_accuracy: 0.3758 +2023-12-21 22:02:42,852 - pyskl - INFO - Epoch [119][100/1873] lr: 2.156e-02, eta: 5:54:40, time: 1.020, data_time: 0.689, memory: 8129, top1_acc: 0.4501, top5_acc: 0.7142, loss_cls: 4.6939, loss: 4.6939 +2023-12-21 22:03:16,071 - pyskl - INFO - Epoch [119][200/1873] lr: 2.149e-02, eta: 5:54:04, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4505, top5_acc: 0.7102, loss_cls: 4.7143, loss: 4.7143 +2023-12-21 22:03:49,168 - pyskl - INFO - Epoch [119][300/1873] lr: 2.142e-02, eta: 5:53:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4447, top5_acc: 0.7061, loss_cls: 4.7128, loss: 4.7128 +2023-12-21 22:04:22,516 - pyskl - INFO - Epoch [119][400/1873] lr: 2.135e-02, eta: 5:52:51, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4456, top5_acc: 0.7062, loss_cls: 4.7167, loss: 4.7167 +2023-12-21 22:04:55,966 - pyskl - INFO - Epoch [119][500/1873] lr: 2.129e-02, eta: 5:52:15, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4570, top5_acc: 0.7105, loss_cls: 4.6868, loss: 4.6868 +2023-12-21 22:05:29,311 - pyskl - INFO - Epoch [119][600/1873] lr: 2.122e-02, eta: 5:51:39, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4450, top5_acc: 0.7018, loss_cls: 4.7562, loss: 4.7562 +2023-12-21 22:06:02,675 - pyskl - INFO - Epoch [119][700/1873] lr: 2.115e-02, eta: 5:51:03, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4424, top5_acc: 0.7066, loss_cls: 4.7416, loss: 4.7416 +2023-12-21 22:06:36,027 - pyskl - INFO - Epoch [119][800/1873] lr: 2.108e-02, eta: 5:50:27, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4416, top5_acc: 0.7028, loss_cls: 4.7492, loss: 4.7492 +2023-12-21 22:07:09,376 - pyskl - INFO - Epoch [119][900/1873] lr: 2.101e-02, eta: 5:49:51, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4300, top5_acc: 0.6945, loss_cls: 4.8081, loss: 4.8081 +2023-12-21 22:07:42,686 - pyskl - INFO - Epoch [119][1000/1873] lr: 2.094e-02, eta: 5:49:14, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4341, top5_acc: 0.6958, loss_cls: 4.7779, loss: 4.7779 +2023-12-21 22:08:15,963 - pyskl - INFO - Epoch [119][1100/1873] lr: 2.087e-02, eta: 5:48:38, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4433, top5_acc: 0.7043, loss_cls: 4.7478, loss: 4.7478 +2023-12-21 22:08:49,350 - pyskl - INFO - Epoch [119][1200/1873] lr: 2.080e-02, eta: 5:48:02, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4376, top5_acc: 0.6987, loss_cls: 4.7657, loss: 4.7657 +2023-12-21 22:09:22,715 - pyskl - INFO - Epoch [119][1300/1873] lr: 2.074e-02, eta: 5:47:26, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4415, top5_acc: 0.7030, loss_cls: 4.7452, loss: 4.7452 +2023-12-21 22:09:56,133 - pyskl - INFO - Epoch [119][1400/1873] lr: 2.067e-02, eta: 5:46:50, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4481, top5_acc: 0.7030, loss_cls: 4.7271, loss: 4.7271 +2023-12-21 22:10:29,594 - pyskl - INFO - Epoch [119][1500/1873] lr: 2.060e-02, eta: 5:46:14, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.4398, top5_acc: 0.6966, loss_cls: 4.7605, loss: 4.7605 +2023-12-21 22:11:02,863 - pyskl - INFO - Epoch [119][1600/1873] lr: 2.053e-02, eta: 5:45:38, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4429, top5_acc: 0.7011, loss_cls: 4.7486, loss: 4.7486 +2023-12-21 22:11:36,231 - pyskl - INFO - Epoch [119][1700/1873] lr: 2.046e-02, eta: 5:45:02, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4369, top5_acc: 0.6973, loss_cls: 4.7654, loss: 4.7654 +2023-12-21 22:12:09,535 - pyskl - INFO - Epoch [119][1800/1873] lr: 2.040e-02, eta: 5:44:25, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4378, top5_acc: 0.6923, loss_cls: 4.7952, loss: 4.7952 +2023-12-21 22:12:36,880 - pyskl - INFO - Saving checkpoint at 119 epochs +2023-12-21 22:13:27,280 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 22:13:28,347 - pyskl - INFO - +top1_acc 0.3806 +top5_acc 0.6411 +2023-12-21 22:13:28,348 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 22:13:28,392 - pyskl - INFO - +mean_acc 0.3804 +2023-12-21 22:13:28,399 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_118.pth was removed +2023-12-21 22:13:28,656 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2023-12-21 22:13:28,656 - pyskl - INFO - Best top1_acc is 0.3806 at 119 epoch. +2023-12-21 22:13:28,670 - pyskl - INFO - Epoch(val) [119][155] top1_acc: 0.3806, top5_acc: 0.6411, mean_class_accuracy: 0.3804 +2023-12-21 22:15:12,997 - pyskl - INFO - Epoch [120][100/1873] lr: 2.028e-02, eta: 5:43:35, time: 1.043, data_time: 0.711, memory: 8129, top1_acc: 0.4584, top5_acc: 0.7185, loss_cls: 4.6510, loss: 4.6510 +2023-12-21 22:15:45,952 - pyskl - INFO - Epoch [120][200/1873] lr: 2.021e-02, eta: 5:42:59, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4548, top5_acc: 0.7145, loss_cls: 4.6897, loss: 4.6897 +2023-12-21 22:16:19,330 - pyskl - INFO - Epoch [120][300/1873] lr: 2.015e-02, eta: 5:42:23, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4492, top5_acc: 0.7102, loss_cls: 4.7007, loss: 4.7007 +2023-12-21 22:16:52,750 - pyskl - INFO - Epoch [120][400/1873] lr: 2.008e-02, eta: 5:41:47, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4528, top5_acc: 0.7085, loss_cls: 4.6931, loss: 4.6931 +2023-12-21 22:17:26,095 - pyskl - INFO - Epoch [120][500/1873] lr: 2.001e-02, eta: 5:41:10, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4529, top5_acc: 0.7070, loss_cls: 4.7152, loss: 4.7152 +2023-12-21 22:17:59,579 - pyskl - INFO - Epoch [120][600/1873] lr: 1.994e-02, eta: 5:40:34, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.4468, top5_acc: 0.7076, loss_cls: 4.7067, loss: 4.7067 +2023-12-21 22:18:32,959 - pyskl - INFO - Epoch [120][700/1873] lr: 1.988e-02, eta: 5:39:58, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4377, top5_acc: 0.6980, loss_cls: 4.7591, loss: 4.7591 +2023-12-21 22:19:06,382 - pyskl - INFO - Epoch [120][800/1873] lr: 1.981e-02, eta: 5:39:22, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4452, top5_acc: 0.7018, loss_cls: 4.7324, loss: 4.7324 +2023-12-21 22:19:39,605 - pyskl - INFO - Epoch [120][900/1873] lr: 1.974e-02, eta: 5:38:46, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4499, top5_acc: 0.7086, loss_cls: 4.7091, loss: 4.7091 +2023-12-21 22:20:12,904 - pyskl - INFO - Epoch [120][1000/1873] lr: 1.968e-02, eta: 5:38:10, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4447, top5_acc: 0.7082, loss_cls: 4.7314, loss: 4.7314 +2023-12-21 22:20:46,223 - pyskl - INFO - Epoch [120][1100/1873] lr: 1.961e-02, eta: 5:37:34, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4462, top5_acc: 0.7048, loss_cls: 4.7150, loss: 4.7150 +2023-12-21 22:21:19,382 - pyskl - INFO - Epoch [120][1200/1873] lr: 1.954e-02, eta: 5:36:57, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4395, top5_acc: 0.6923, loss_cls: 4.7657, loss: 4.7657 +2023-12-21 22:21:52,707 - pyskl - INFO - Epoch [120][1300/1873] lr: 1.948e-02, eta: 5:36:21, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4466, top5_acc: 0.7024, loss_cls: 4.7403, loss: 4.7403 +2023-12-21 22:22:25,839 - pyskl - INFO - Epoch [120][1400/1873] lr: 1.941e-02, eta: 5:35:45, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4455, top5_acc: 0.7045, loss_cls: 4.7325, loss: 4.7325 +2023-12-21 22:22:59,171 - pyskl - INFO - Epoch [120][1500/1873] lr: 1.934e-02, eta: 5:35:09, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4440, top5_acc: 0.7066, loss_cls: 4.7384, loss: 4.7384 +2023-12-21 22:23:32,395 - pyskl - INFO - Epoch [120][1600/1873] lr: 1.928e-02, eta: 5:34:33, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4448, top5_acc: 0.7055, loss_cls: 4.7481, loss: 4.7481 +2023-12-21 22:24:05,745 - pyskl - INFO - Epoch [120][1700/1873] lr: 1.921e-02, eta: 5:33:57, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4415, top5_acc: 0.7044, loss_cls: 4.7470, loss: 4.7470 +2023-12-21 22:24:38,930 - pyskl - INFO - Epoch [120][1800/1873] lr: 1.915e-02, eta: 5:33:21, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4455, top5_acc: 0.7111, loss_cls: 4.7256, loss: 4.7256 +2023-12-21 22:25:06,749 - pyskl - INFO - Saving checkpoint at 120 epochs +2023-12-21 22:25:57,154 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 22:25:58,203 - pyskl - INFO - +top1_acc 0.3832 +top5_acc 0.6417 +2023-12-21 22:25:58,204 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 22:25:58,239 - pyskl - INFO - +mean_acc 0.3829 +2023-12-21 22:25:58,246 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_119.pth was removed +2023-12-21 22:25:58,427 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. +2023-12-21 22:25:58,428 - pyskl - INFO - Best top1_acc is 0.3832 at 120 epoch. +2023-12-21 22:25:58,437 - pyskl - INFO - Epoch(val) [120][155] top1_acc: 0.3832, top5_acc: 0.6417, mean_class_accuracy: 0.3829 +2023-12-21 22:27:44,101 - pyskl - INFO - Epoch [121][100/1873] lr: 1.903e-02, eta: 5:32:30, time: 1.057, data_time: 0.726, memory: 8129, top1_acc: 0.4620, top5_acc: 0.7274, loss_cls: 4.6348, loss: 4.6348 +2023-12-21 22:28:17,160 - pyskl - INFO - Epoch [121][200/1873] lr: 1.897e-02, eta: 5:31:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4612, top5_acc: 0.7188, loss_cls: 4.6581, loss: 4.6581 +2023-12-21 22:28:50,235 - pyskl - INFO - Epoch [121][300/1873] lr: 1.890e-02, eta: 5:31:18, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4566, top5_acc: 0.7247, loss_cls: 4.6583, loss: 4.6583 +2023-12-21 22:29:23,342 - pyskl - INFO - Epoch [121][400/1873] lr: 1.884e-02, eta: 5:30:42, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4659, top5_acc: 0.7217, loss_cls: 4.6411, loss: 4.6411 +2023-12-21 22:29:56,493 - pyskl - INFO - Epoch [121][500/1873] lr: 1.877e-02, eta: 5:30:05, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4462, top5_acc: 0.7147, loss_cls: 4.6880, loss: 4.6880 +2023-12-21 22:30:29,521 - pyskl - INFO - Epoch [121][600/1873] lr: 1.871e-02, eta: 5:29:29, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4506, top5_acc: 0.7100, loss_cls: 4.7073, loss: 4.7073 +2023-12-21 22:31:02,806 - pyskl - INFO - Epoch [121][700/1873] lr: 1.864e-02, eta: 5:28:53, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4464, top5_acc: 0.7138, loss_cls: 4.7052, loss: 4.7052 +2023-12-21 22:31:36,203 - pyskl - INFO - Epoch [121][800/1873] lr: 1.858e-02, eta: 5:28:17, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4483, top5_acc: 0.7059, loss_cls: 4.7167, loss: 4.7167 +2023-12-21 22:32:09,311 - pyskl - INFO - Epoch [121][900/1873] lr: 1.851e-02, eta: 5:27:41, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4416, top5_acc: 0.7071, loss_cls: 4.7132, loss: 4.7132 +2023-12-21 22:32:42,542 - pyskl - INFO - Epoch [121][1000/1873] lr: 1.845e-02, eta: 5:27:05, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4516, top5_acc: 0.7082, loss_cls: 4.7218, loss: 4.7218 +2023-12-21 22:33:15,782 - pyskl - INFO - Epoch [121][1100/1873] lr: 1.838e-02, eta: 5:26:29, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4466, top5_acc: 0.7031, loss_cls: 4.7296, loss: 4.7296 +2023-12-21 22:33:49,007 - pyskl - INFO - Epoch [121][1200/1873] lr: 1.832e-02, eta: 5:25:53, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4537, top5_acc: 0.7096, loss_cls: 4.6868, loss: 4.6868 +2023-12-21 22:34:22,172 - pyskl - INFO - Epoch [121][1300/1873] lr: 1.825e-02, eta: 5:25:16, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4455, top5_acc: 0.7045, loss_cls: 4.7194, loss: 4.7194 +2023-12-21 22:34:55,230 - pyskl - INFO - Epoch [121][1400/1873] lr: 1.819e-02, eta: 5:24:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4581, top5_acc: 0.7121, loss_cls: 4.6855, loss: 4.6855 +2023-12-21 22:35:28,567 - pyskl - INFO - Epoch [121][1500/1873] lr: 1.812e-02, eta: 5:24:04, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4508, top5_acc: 0.7048, loss_cls: 4.7257, loss: 4.7257 +2023-12-21 22:36:01,757 - pyskl - INFO - Epoch [121][1600/1873] lr: 1.806e-02, eta: 5:23:28, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4463, top5_acc: 0.7036, loss_cls: 4.7216, loss: 4.7216 +2023-12-21 22:36:35,011 - pyskl - INFO - Epoch [121][1700/1873] lr: 1.800e-02, eta: 5:22:52, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4429, top5_acc: 0.7073, loss_cls: 4.7329, loss: 4.7329 +2023-12-21 22:37:08,114 - pyskl - INFO - Epoch [121][1800/1873] lr: 1.793e-02, eta: 5:22:16, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4498, top5_acc: 0.7046, loss_cls: 4.7382, loss: 4.7382 +2023-12-21 22:37:35,527 - pyskl - INFO - Saving checkpoint at 121 epochs +2023-12-21 22:38:29,554 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 22:38:30,611 - pyskl - INFO - +top1_acc 0.3738 +top5_acc 0.6338 +2023-12-21 22:38:30,611 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 22:38:30,652 - pyskl - INFO - +mean_acc 0.3734 +2023-12-21 22:38:30,663 - pyskl - INFO - Epoch(val) [121][155] top1_acc: 0.3738, top5_acc: 0.6338, mean_class_accuracy: 0.3734 +2023-12-21 22:40:12,663 - pyskl - INFO - Epoch [122][100/1873] lr: 1.782e-02, eta: 5:21:24, time: 1.020, data_time: 0.652, memory: 8129, top1_acc: 0.4682, top5_acc: 0.7264, loss_cls: 4.6007, loss: 4.6007 +2023-12-21 22:40:45,626 - pyskl - INFO - Epoch [122][200/1873] lr: 1.776e-02, eta: 5:20:48, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4575, top5_acc: 0.7230, loss_cls: 4.6610, loss: 4.6610 +2023-12-21 22:41:18,687 - pyskl - INFO - Epoch [122][300/1873] lr: 1.769e-02, eta: 5:20:12, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4654, top5_acc: 0.7257, loss_cls: 4.6423, loss: 4.6423 +2023-12-21 22:41:51,884 - pyskl - INFO - Epoch [122][400/1873] lr: 1.763e-02, eta: 5:19:35, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4614, top5_acc: 0.7171, loss_cls: 4.6741, loss: 4.6741 +2023-12-21 22:42:25,132 - pyskl - INFO - Epoch [122][500/1873] lr: 1.757e-02, eta: 5:18:59, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4498, top5_acc: 0.7142, loss_cls: 4.7028, loss: 4.7028 +2023-12-21 22:42:58,287 - pyskl - INFO - Epoch [122][600/1873] lr: 1.750e-02, eta: 5:18:23, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4528, top5_acc: 0.7111, loss_cls: 4.7007, loss: 4.7007 +2023-12-21 22:43:31,456 - pyskl - INFO - Epoch [122][700/1873] lr: 1.744e-02, eta: 5:17:47, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4630, top5_acc: 0.7160, loss_cls: 4.6684, loss: 4.6684 +2023-12-21 22:44:04,709 - pyskl - INFO - Epoch [122][800/1873] lr: 1.738e-02, eta: 5:17:11, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4529, top5_acc: 0.7116, loss_cls: 4.6867, loss: 4.6867 +2023-12-21 22:44:37,872 - pyskl - INFO - Epoch [122][900/1873] lr: 1.732e-02, eta: 5:16:35, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4580, top5_acc: 0.7176, loss_cls: 4.6602, loss: 4.6602 +2023-12-21 22:45:10,986 - pyskl - INFO - Epoch [122][1000/1873] lr: 1.725e-02, eta: 5:15:59, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4604, top5_acc: 0.7203, loss_cls: 4.6685, loss: 4.6685 +2023-12-21 22:45:44,323 - pyskl - INFO - Epoch [122][1100/1873] lr: 1.719e-02, eta: 5:15:23, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4559, top5_acc: 0.7180, loss_cls: 4.6766, loss: 4.6766 +2023-12-21 22:46:17,643 - pyskl - INFO - Epoch [122][1200/1873] lr: 1.713e-02, eta: 5:14:47, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4520, top5_acc: 0.7175, loss_cls: 4.6790, loss: 4.6790 +2023-12-21 22:46:50,759 - pyskl - INFO - Epoch [122][1300/1873] lr: 1.706e-02, eta: 5:14:10, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4541, top5_acc: 0.7134, loss_cls: 4.6891, loss: 4.6891 +2023-12-21 22:47:24,003 - pyskl - INFO - Epoch [122][1400/1873] lr: 1.700e-02, eta: 5:13:34, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4520, top5_acc: 0.7126, loss_cls: 4.6967, loss: 4.6967 +2023-12-21 22:47:57,177 - pyskl - INFO - Epoch [122][1500/1873] lr: 1.694e-02, eta: 5:12:58, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4537, top5_acc: 0.7081, loss_cls: 4.7035, loss: 4.7035 +2023-12-21 22:48:30,363 - pyskl - INFO - Epoch [122][1600/1873] lr: 1.688e-02, eta: 5:12:22, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4610, top5_acc: 0.7188, loss_cls: 4.6389, loss: 4.6389 +2023-12-21 22:49:03,369 - pyskl - INFO - Epoch [122][1700/1873] lr: 1.682e-02, eta: 5:11:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4516, top5_acc: 0.7117, loss_cls: 4.6912, loss: 4.6912 +2023-12-21 22:49:36,496 - pyskl - INFO - Epoch [122][1800/1873] lr: 1.675e-02, eta: 5:11:10, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4500, top5_acc: 0.7099, loss_cls: 4.7051, loss: 4.7051 +2023-12-21 22:50:03,736 - pyskl - INFO - Saving checkpoint at 122 epochs +2023-12-21 22:50:52,562 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 22:50:53,303 - pyskl - INFO - +top1_acc 0.3845 +top5_acc 0.6452 +2023-12-21 22:50:53,303 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 22:50:53,341 - pyskl - INFO - +mean_acc 0.3843 +2023-12-21 22:50:53,347 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_120.pth was removed +2023-12-21 22:50:53,523 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2023-12-21 22:50:53,524 - pyskl - INFO - Best top1_acc is 0.3845 at 122 epoch. +2023-12-21 22:50:53,534 - pyskl - INFO - Epoch(val) [122][155] top1_acc: 0.3845, top5_acc: 0.6452, mean_class_accuracy: 0.3843 +2023-12-21 22:52:36,639 - pyskl - INFO - Epoch [123][100/1873] lr: 1.665e-02, eta: 5:10:18, time: 1.031, data_time: 0.683, memory: 8129, top1_acc: 0.4742, top5_acc: 0.7350, loss_cls: 4.5727, loss: 4.5727 +2023-12-21 22:53:09,745 - pyskl - INFO - Epoch [123][200/1873] lr: 1.658e-02, eta: 5:09:42, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4660, top5_acc: 0.7290, loss_cls: 4.5961, loss: 4.5961 +2023-12-21 22:53:42,912 - pyskl - INFO - Epoch [123][300/1873] lr: 1.652e-02, eta: 5:09:06, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4669, top5_acc: 0.7245, loss_cls: 4.6099, loss: 4.6099 +2023-12-21 22:54:16,266 - pyskl - INFO - Epoch [123][400/1873] lr: 1.646e-02, eta: 5:08:30, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4627, top5_acc: 0.7246, loss_cls: 4.6308, loss: 4.6308 +2023-12-21 22:54:49,568 - pyskl - INFO - Epoch [123][500/1873] lr: 1.640e-02, eta: 5:07:54, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4597, top5_acc: 0.7216, loss_cls: 4.6389, loss: 4.6389 +2023-12-21 22:55:22,668 - pyskl - INFO - Epoch [123][600/1873] lr: 1.634e-02, eta: 5:07:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4658, top5_acc: 0.7220, loss_cls: 4.6241, loss: 4.6241 +2023-12-21 22:55:55,805 - pyskl - INFO - Epoch [123][700/1873] lr: 1.628e-02, eta: 5:06:41, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4602, top5_acc: 0.7191, loss_cls: 4.6377, loss: 4.6377 +2023-12-21 22:56:28,985 - pyskl - INFO - Epoch [123][800/1873] lr: 1.622e-02, eta: 5:06:05, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4599, top5_acc: 0.7254, loss_cls: 4.6292, loss: 4.6292 +2023-12-21 22:57:02,102 - pyskl - INFO - Epoch [123][900/1873] lr: 1.616e-02, eta: 5:05:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4549, top5_acc: 0.7152, loss_cls: 4.6745, loss: 4.6745 +2023-12-21 22:57:35,245 - pyskl - INFO - Epoch [123][1000/1873] lr: 1.609e-02, eta: 5:04:53, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4561, top5_acc: 0.7123, loss_cls: 4.6731, loss: 4.6731 +2023-12-21 22:58:08,355 - pyskl - INFO - Epoch [123][1100/1873] lr: 1.603e-02, eta: 5:04:17, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4618, top5_acc: 0.7191, loss_cls: 4.6380, loss: 4.6380 +2023-12-21 22:58:41,226 - pyskl - INFO - Epoch [123][1200/1873] lr: 1.597e-02, eta: 5:03:41, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4580, top5_acc: 0.7170, loss_cls: 4.6733, loss: 4.6733 +2023-12-21 22:59:14,328 - pyskl - INFO - Epoch [123][1300/1873] lr: 1.591e-02, eta: 5:03:05, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4586, top5_acc: 0.7152, loss_cls: 4.6737, loss: 4.6737 +2023-12-21 22:59:47,522 - pyskl - INFO - Epoch [123][1400/1873] lr: 1.585e-02, eta: 5:02:29, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4576, top5_acc: 0.7149, loss_cls: 4.6714, loss: 4.6714 +2023-12-21 23:00:20,701 - pyskl - INFO - Epoch [123][1500/1873] lr: 1.579e-02, eta: 5:01:52, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4584, top5_acc: 0.7107, loss_cls: 4.6943, loss: 4.6943 +2023-12-21 23:00:53,728 - pyskl - INFO - Epoch [123][1600/1873] lr: 1.573e-02, eta: 5:01:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4650, top5_acc: 0.7234, loss_cls: 4.6329, loss: 4.6329 +2023-12-21 23:01:26,684 - pyskl - INFO - Epoch [123][1700/1873] lr: 1.567e-02, eta: 5:00:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4575, top5_acc: 0.7129, loss_cls: 4.6983, loss: 4.6983 +2023-12-21 23:01:59,694 - pyskl - INFO - Epoch [123][1800/1873] lr: 1.561e-02, eta: 5:00:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4544, top5_acc: 0.7138, loss_cls: 4.6814, loss: 4.6814 +2023-12-21 23:02:27,267 - pyskl - INFO - Saving checkpoint at 123 epochs +2023-12-21 23:03:17,692 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 23:03:18,655 - pyskl - INFO - +top1_acc 0.3907 +top5_acc 0.6505 +2023-12-21 23:03:18,656 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 23:03:18,699 - pyskl - INFO - +mean_acc 0.3904 +2023-12-21 23:03:18,706 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_122.pth was removed +2023-12-21 23:03:18,947 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. +2023-12-21 23:03:18,948 - pyskl - INFO - Best top1_acc is 0.3907 at 123 epoch. +2023-12-21 23:03:18,958 - pyskl - INFO - Epoch(val) [123][155] top1_acc: 0.3907, top5_acc: 0.6505, mean_class_accuracy: 0.3904 +2023-12-21 23:05:00,342 - pyskl - INFO - Epoch [124][100/1873] lr: 1.551e-02, eta: 4:59:11, time: 1.014, data_time: 0.677, memory: 8129, top1_acc: 0.4795, top5_acc: 0.7373, loss_cls: 4.5621, loss: 4.5621 +2023-12-21 23:05:33,267 - pyskl - INFO - Epoch [124][200/1873] lr: 1.545e-02, eta: 4:58:35, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4809, top5_acc: 0.7409, loss_cls: 4.5458, loss: 4.5458 +2023-12-21 23:06:06,349 - pyskl - INFO - Epoch [124][300/1873] lr: 1.539e-02, eta: 4:57:59, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4666, top5_acc: 0.7232, loss_cls: 4.6145, loss: 4.6145 +2023-12-21 23:06:39,389 - pyskl - INFO - Epoch [124][400/1873] lr: 1.533e-02, eta: 4:57:23, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4676, top5_acc: 0.7286, loss_cls: 4.6015, loss: 4.6015 +2023-12-21 23:07:12,141 - pyskl - INFO - Epoch [124][500/1873] lr: 1.527e-02, eta: 4:56:47, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.4684, top5_acc: 0.7259, loss_cls: 4.6210, loss: 4.6210 +2023-12-21 23:07:45,100 - pyskl - INFO - Epoch [124][600/1873] lr: 1.521e-02, eta: 4:56:11, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4720, top5_acc: 0.7264, loss_cls: 4.5927, loss: 4.5927 +2023-12-21 23:08:18,012 - pyskl - INFO - Epoch [124][700/1873] lr: 1.515e-02, eta: 4:55:34, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4602, top5_acc: 0.7231, loss_cls: 4.6356, loss: 4.6356 +2023-12-21 23:08:50,782 - pyskl - INFO - Epoch [124][800/1873] lr: 1.509e-02, eta: 4:54:58, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.4647, top5_acc: 0.7270, loss_cls: 4.6396, loss: 4.6396 +2023-12-21 23:09:23,748 - pyskl - INFO - Epoch [124][900/1873] lr: 1.503e-02, eta: 4:54:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4712, top5_acc: 0.7268, loss_cls: 4.6201, loss: 4.6201 +2023-12-21 23:09:56,647 - pyskl - INFO - Epoch [124][1000/1873] lr: 1.497e-02, eta: 4:53:46, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4683, top5_acc: 0.7230, loss_cls: 4.6408, loss: 4.6408 +2023-12-21 23:10:29,490 - pyskl - INFO - Epoch [124][1100/1873] lr: 1.492e-02, eta: 4:53:10, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.4691, top5_acc: 0.7227, loss_cls: 4.6205, loss: 4.6205 +2023-12-21 23:11:02,413 - pyskl - INFO - Epoch [124][1200/1873] lr: 1.486e-02, eta: 4:52:34, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4623, top5_acc: 0.7255, loss_cls: 4.6310, loss: 4.6310 +2023-12-21 23:11:35,423 - pyskl - INFO - Epoch [124][1300/1873] lr: 1.480e-02, eta: 4:51:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4647, top5_acc: 0.7259, loss_cls: 4.6291, loss: 4.6291 +2023-12-21 23:12:08,219 - pyskl - INFO - Epoch [124][1400/1873] lr: 1.474e-02, eta: 4:51:22, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.4570, top5_acc: 0.7213, loss_cls: 4.6547, loss: 4.6547 +2023-12-21 23:12:41,039 - pyskl - INFO - Epoch [124][1500/1873] lr: 1.468e-02, eta: 4:50:45, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.4662, top5_acc: 0.7238, loss_cls: 4.6225, loss: 4.6225 +2023-12-21 23:13:13,763 - pyskl - INFO - Epoch [124][1600/1873] lr: 1.462e-02, eta: 4:50:09, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.4647, top5_acc: 0.7180, loss_cls: 4.6547, loss: 4.6547 +2023-12-21 23:13:46,425 - pyskl - INFO - Epoch [124][1700/1873] lr: 1.456e-02, eta: 4:49:33, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.4615, top5_acc: 0.7217, loss_cls: 4.6439, loss: 4.6439 +2023-12-21 23:14:19,428 - pyskl - INFO - Epoch [124][1800/1873] lr: 1.451e-02, eta: 4:48:57, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4620, top5_acc: 0.7207, loss_cls: 4.6386, loss: 4.6386 +2023-12-21 23:14:46,821 - pyskl - INFO - Saving checkpoint at 124 epochs +2023-12-21 23:15:36,235 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 23:15:37,240 - pyskl - INFO - +top1_acc 0.3979 +top5_acc 0.6555 +2023-12-21 23:15:37,240 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 23:15:37,275 - pyskl - INFO - +mean_acc 0.3976 +2023-12-21 23:15:37,281 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_123.pth was removed +2023-12-21 23:15:37,451 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. +2023-12-21 23:15:37,451 - pyskl - INFO - Best top1_acc is 0.3979 at 124 epoch. +2023-12-21 23:15:37,461 - pyskl - INFO - Epoch(val) [124][155] top1_acc: 0.3979, top5_acc: 0.6555, mean_class_accuracy: 0.3976 +2023-12-21 23:17:21,456 - pyskl - INFO - Epoch [125][100/1873] lr: 1.441e-02, eta: 4:48:04, time: 1.040, data_time: 0.688, memory: 8129, top1_acc: 0.4865, top5_acc: 0.7427, loss_cls: 4.5290, loss: 4.5290 +2023-12-21 23:17:54,294 - pyskl - INFO - Epoch [125][200/1873] lr: 1.435e-02, eta: 4:47:28, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.4713, top5_acc: 0.7402, loss_cls: 4.5586, loss: 4.5586 +2023-12-21 23:18:27,294 - pyskl - INFO - Epoch [125][300/1873] lr: 1.429e-02, eta: 4:46:52, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4802, top5_acc: 0.7358, loss_cls: 4.5488, loss: 4.5488 +2023-12-21 23:19:00,478 - pyskl - INFO - Epoch [125][400/1873] lr: 1.423e-02, eta: 4:46:16, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4777, top5_acc: 0.7297, loss_cls: 4.5840, loss: 4.5840 +2023-12-21 23:19:33,611 - pyskl - INFO - Epoch [125][500/1873] lr: 1.418e-02, eta: 4:45:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4765, top5_acc: 0.7276, loss_cls: 4.5890, loss: 4.5890 +2023-12-21 23:20:06,692 - pyskl - INFO - Epoch [125][600/1873] lr: 1.412e-02, eta: 4:45:04, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4679, top5_acc: 0.7235, loss_cls: 4.6135, loss: 4.6135 +2023-12-21 23:20:39,729 - pyskl - INFO - Epoch [125][700/1873] lr: 1.406e-02, eta: 4:44:28, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4694, top5_acc: 0.7306, loss_cls: 4.5906, loss: 4.5906 +2023-12-21 23:21:12,856 - pyskl - INFO - Epoch [125][800/1873] lr: 1.400e-02, eta: 4:43:52, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4739, top5_acc: 0.7330, loss_cls: 4.5797, loss: 4.5797 +2023-12-21 23:21:45,778 - pyskl - INFO - Epoch [125][900/1873] lr: 1.395e-02, eta: 4:43:16, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4760, top5_acc: 0.7342, loss_cls: 4.5788, loss: 4.5788 +2023-12-21 23:22:18,727 - pyskl - INFO - Epoch [125][1000/1873] lr: 1.389e-02, eta: 4:42:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4677, top5_acc: 0.7247, loss_cls: 4.6144, loss: 4.6144 +2023-12-21 23:22:51,793 - pyskl - INFO - Epoch [125][1100/1873] lr: 1.383e-02, eta: 4:42:04, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4594, top5_acc: 0.7209, loss_cls: 4.6402, loss: 4.6402 +2023-12-21 23:23:24,953 - pyskl - INFO - Epoch [125][1200/1873] lr: 1.378e-02, eta: 4:41:28, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4631, top5_acc: 0.7270, loss_cls: 4.6244, loss: 4.6244 +2023-12-21 23:23:57,864 - pyskl - INFO - Epoch [125][1300/1873] lr: 1.372e-02, eta: 4:40:51, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4716, top5_acc: 0.7263, loss_cls: 4.5986, loss: 4.5986 +2023-12-21 23:24:30,769 - pyskl - INFO - Epoch [125][1400/1873] lr: 1.366e-02, eta: 4:40:15, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4718, top5_acc: 0.7269, loss_cls: 4.5999, loss: 4.5999 +2023-12-21 23:25:03,433 - pyskl - INFO - Epoch [125][1500/1873] lr: 1.361e-02, eta: 4:39:39, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.4805, top5_acc: 0.7274, loss_cls: 4.5845, loss: 4.5845 +2023-12-21 23:25:36,375 - pyskl - INFO - Epoch [125][1600/1873] lr: 1.355e-02, eta: 4:39:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4650, top5_acc: 0.7205, loss_cls: 4.6441, loss: 4.6441 +2023-12-21 23:26:09,602 - pyskl - INFO - Epoch [125][1700/1873] lr: 1.349e-02, eta: 4:38:27, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4639, top5_acc: 0.7240, loss_cls: 4.6273, loss: 4.6273 +2023-12-21 23:26:42,772 - pyskl - INFO - Epoch [125][1800/1873] lr: 1.344e-02, eta: 4:37:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4755, top5_acc: 0.7255, loss_cls: 4.5968, loss: 4.5968 +2023-12-21 23:27:10,009 - pyskl - INFO - Saving checkpoint at 125 epochs +2023-12-21 23:27:59,390 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 23:28:00,119 - pyskl - INFO - +top1_acc 0.4022 +top5_acc 0.6604 +2023-12-21 23:28:00,119 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 23:28:00,155 - pyskl - INFO - +mean_acc 0.4021 +2023-12-21 23:28:00,161 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_124.pth was removed +2023-12-21 23:28:00,343 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. +2023-12-21 23:28:00,343 - pyskl - INFO - Best top1_acc is 0.4022 at 125 epoch. +2023-12-21 23:28:00,354 - pyskl - INFO - Epoch(val) [125][155] top1_acc: 0.4022, top5_acc: 0.6604, mean_class_accuracy: 0.4021 +2023-12-21 23:29:45,539 - pyskl - INFO - Epoch [126][100/1873] lr: 1.334e-02, eta: 4:36:58, time: 1.052, data_time: 0.720, memory: 8129, top1_acc: 0.4873, top5_acc: 0.7419, loss_cls: 4.5238, loss: 4.5238 +2023-12-21 23:30:18,560 - pyskl - INFO - Epoch [126][200/1873] lr: 1.329e-02, eta: 4:36:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4784, top5_acc: 0.7369, loss_cls: 4.5501, loss: 4.5501 +2023-12-21 23:30:51,637 - pyskl - INFO - Epoch [126][300/1873] lr: 1.323e-02, eta: 4:35:46, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4813, top5_acc: 0.7377, loss_cls: 4.5465, loss: 4.5465 +2023-12-21 23:31:24,997 - pyskl - INFO - Epoch [126][400/1873] lr: 1.318e-02, eta: 4:35:10, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.4834, top5_acc: 0.7375, loss_cls: 4.5505, loss: 4.5505 +2023-12-21 23:31:58,148 - pyskl - INFO - Epoch [126][500/1873] lr: 1.312e-02, eta: 4:34:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4787, top5_acc: 0.7327, loss_cls: 4.5610, loss: 4.5610 +2023-12-21 23:32:31,214 - pyskl - INFO - Epoch [126][600/1873] lr: 1.306e-02, eta: 4:33:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4812, top5_acc: 0.7364, loss_cls: 4.5665, loss: 4.5665 +2023-12-21 23:33:04,252 - pyskl - INFO - Epoch [126][700/1873] lr: 1.301e-02, eta: 4:33:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4795, top5_acc: 0.7320, loss_cls: 4.5900, loss: 4.5900 +2023-12-21 23:33:37,409 - pyskl - INFO - Epoch [126][800/1873] lr: 1.295e-02, eta: 4:32:46, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4712, top5_acc: 0.7275, loss_cls: 4.5928, loss: 4.5928 +2023-12-21 23:34:10,454 - pyskl - INFO - Epoch [126][900/1873] lr: 1.290e-02, eta: 4:32:10, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4791, top5_acc: 0.7405, loss_cls: 4.5611, loss: 4.5611 +2023-12-21 23:34:43,574 - pyskl - INFO - Epoch [126][1000/1873] lr: 1.284e-02, eta: 4:31:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4838, top5_acc: 0.7389, loss_cls: 4.5599, loss: 4.5599 +2023-12-21 23:35:16,672 - pyskl - INFO - Epoch [126][1100/1873] lr: 1.279e-02, eta: 4:30:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4686, top5_acc: 0.7355, loss_cls: 4.5738, loss: 4.5738 +2023-12-21 23:35:49,800 - pyskl - INFO - Epoch [126][1200/1873] lr: 1.273e-02, eta: 4:30:22, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4741, top5_acc: 0.7319, loss_cls: 4.5707, loss: 4.5707 +2023-12-21 23:36:22,979 - pyskl - INFO - Epoch [126][1300/1873] lr: 1.268e-02, eta: 4:29:46, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4693, top5_acc: 0.7296, loss_cls: 4.5908, loss: 4.5908 +2023-12-21 23:36:56,140 - pyskl - INFO - Epoch [126][1400/1873] lr: 1.263e-02, eta: 4:29:10, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4770, top5_acc: 0.7319, loss_cls: 4.5818, loss: 4.5818 +2023-12-21 23:37:29,102 - pyskl - INFO - Epoch [126][1500/1873] lr: 1.257e-02, eta: 4:28:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4815, top5_acc: 0.7327, loss_cls: 4.5740, loss: 4.5740 +2023-12-21 23:38:02,114 - pyskl - INFO - Epoch [126][1600/1873] lr: 1.252e-02, eta: 4:27:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4755, top5_acc: 0.7333, loss_cls: 4.5643, loss: 4.5643 +2023-12-21 23:38:35,194 - pyskl - INFO - Epoch [126][1700/1873] lr: 1.246e-02, eta: 4:27:22, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4805, top5_acc: 0.7315, loss_cls: 4.5634, loss: 4.5634 +2023-12-21 23:39:08,138 - pyskl - INFO - Epoch [126][1800/1873] lr: 1.241e-02, eta: 4:26:46, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4747, top5_acc: 0.7259, loss_cls: 4.6073, loss: 4.6073 +2023-12-21 23:39:35,345 - pyskl - INFO - Saving checkpoint at 126 epochs +2023-12-21 23:40:26,320 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 23:40:27,061 - pyskl - INFO - +top1_acc 0.4056 +top5_acc 0.6598 +2023-12-21 23:40:27,062 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 23:40:27,097 - pyskl - INFO - +mean_acc 0.4054 +2023-12-21 23:40:27,102 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_125.pth was removed +2023-12-21 23:40:27,272 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. +2023-12-21 23:40:27,273 - pyskl - INFO - Best top1_acc is 0.4056 at 126 epoch. +2023-12-21 23:40:27,285 - pyskl - INFO - Epoch(val) [126][155] top1_acc: 0.4056, top5_acc: 0.6598, mean_class_accuracy: 0.4054 +2023-12-21 23:42:10,072 - pyskl - INFO - Epoch [127][100/1873] lr: 1.232e-02, eta: 4:25:52, time: 1.028, data_time: 0.691, memory: 8129, top1_acc: 0.4923, top5_acc: 0.7463, loss_cls: 4.4884, loss: 4.4884 +2023-12-21 23:42:42,872 - pyskl - INFO - Epoch [127][200/1873] lr: 1.226e-02, eta: 4:25:16, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.4920, top5_acc: 0.7456, loss_cls: 4.4938, loss: 4.4938 +2023-12-21 23:43:15,835 - pyskl - INFO - Epoch [127][300/1873] lr: 1.221e-02, eta: 4:24:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4813, top5_acc: 0.7406, loss_cls: 4.5316, loss: 4.5316 +2023-12-21 23:43:48,918 - pyskl - INFO - Epoch [127][400/1873] lr: 1.216e-02, eta: 4:24:04, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4859, top5_acc: 0.7428, loss_cls: 4.5174, loss: 4.5174 +2023-12-21 23:44:21,875 - pyskl - INFO - Epoch [127][500/1873] lr: 1.210e-02, eta: 4:23:28, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4816, top5_acc: 0.7423, loss_cls: 4.5307, loss: 4.5307 +2023-12-21 23:44:54,825 - pyskl - INFO - Epoch [127][600/1873] lr: 1.205e-02, eta: 4:22:52, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4790, top5_acc: 0.7356, loss_cls: 4.5623, loss: 4.5623 +2023-12-21 23:45:27,937 - pyskl - INFO - Epoch [127][700/1873] lr: 1.200e-02, eta: 4:22:16, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4798, top5_acc: 0.7323, loss_cls: 4.5671, loss: 4.5671 +2023-12-21 23:46:01,068 - pyskl - INFO - Epoch [127][800/1873] lr: 1.194e-02, eta: 4:21:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4875, top5_acc: 0.7423, loss_cls: 4.5114, loss: 4.5114 +2023-12-21 23:46:34,022 - pyskl - INFO - Epoch [127][900/1873] lr: 1.189e-02, eta: 4:21:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4861, top5_acc: 0.7398, loss_cls: 4.5230, loss: 4.5230 +2023-12-21 23:47:07,149 - pyskl - INFO - Epoch [127][1000/1873] lr: 1.184e-02, eta: 4:20:28, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4863, top5_acc: 0.7435, loss_cls: 4.5124, loss: 4.5124 +2023-12-21 23:47:40,262 - pyskl - INFO - Epoch [127][1100/1873] lr: 1.178e-02, eta: 4:19:52, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4823, top5_acc: 0.7414, loss_cls: 4.5281, loss: 4.5281 +2023-12-21 23:48:13,216 - pyskl - INFO - Epoch [127][1200/1873] lr: 1.173e-02, eta: 4:19:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4757, top5_acc: 0.7332, loss_cls: 4.5671, loss: 4.5671 +2023-12-21 23:48:45,927 - pyskl - INFO - Epoch [127][1300/1873] lr: 1.168e-02, eta: 4:18:39, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.4817, top5_acc: 0.7334, loss_cls: 4.5803, loss: 4.5803 +2023-12-21 23:49:19,041 - pyskl - INFO - Epoch [127][1400/1873] lr: 1.163e-02, eta: 4:18:03, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4729, top5_acc: 0.7303, loss_cls: 4.5764, loss: 4.5764 +2023-12-21 23:49:51,901 - pyskl - INFO - Epoch [127][1500/1873] lr: 1.157e-02, eta: 4:17:27, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.4809, top5_acc: 0.7366, loss_cls: 4.5404, loss: 4.5404 +2023-12-21 23:50:24,769 - pyskl - INFO - Epoch [127][1600/1873] lr: 1.152e-02, eta: 4:16:51, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4845, top5_acc: 0.7410, loss_cls: 4.5271, loss: 4.5271 +2023-12-21 23:50:57,732 - pyskl - INFO - Epoch [127][1700/1873] lr: 1.147e-02, eta: 4:16:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4790, top5_acc: 0.7348, loss_cls: 4.5556, loss: 4.5556 +2023-12-21 23:51:30,553 - pyskl - INFO - Epoch [127][1800/1873] lr: 1.142e-02, eta: 4:15:39, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.4724, top5_acc: 0.7320, loss_cls: 4.5750, loss: 4.5750 +2023-12-21 23:51:57,670 - pyskl - INFO - Saving checkpoint at 127 epochs +2023-12-21 23:52:46,314 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-21 23:52:47,400 - pyskl - INFO - +top1_acc 0.4110 +top5_acc 0.6677 +2023-12-21 23:52:47,400 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-21 23:52:47,445 - pyskl - INFO - +mean_acc 0.4106 +2023-12-21 23:52:47,452 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_126.pth was removed +2023-12-21 23:52:47,690 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2023-12-21 23:52:47,691 - pyskl - INFO - Best top1_acc is 0.4110 at 127 epoch. +2023-12-21 23:52:47,704 - pyskl - INFO - Epoch(val) [127][155] top1_acc: 0.4110, top5_acc: 0.6677, mean_class_accuracy: 0.4106 +2023-12-21 23:54:31,943 - pyskl - INFO - Epoch [128][100/1873] lr: 1.133e-02, eta: 4:14:46, time: 1.042, data_time: 0.710, memory: 8129, top1_acc: 0.5018, top5_acc: 0.7556, loss_cls: 4.4372, loss: 4.4372 +2023-12-21 23:55:05,018 - pyskl - INFO - Epoch [128][200/1873] lr: 1.128e-02, eta: 4:14:10, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5048, top5_acc: 0.7516, loss_cls: 4.4523, loss: 4.4523 +2023-12-21 23:55:38,304 - pyskl - INFO - Epoch [128][300/1873] lr: 1.123e-02, eta: 4:13:34, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5003, top5_acc: 0.7517, loss_cls: 4.4653, loss: 4.4653 +2023-12-21 23:56:11,557 - pyskl - INFO - Epoch [128][400/1873] lr: 1.117e-02, eta: 4:12:58, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5005, top5_acc: 0.7516, loss_cls: 4.4627, loss: 4.4627 +2023-12-21 23:56:44,806 - pyskl - INFO - Epoch [128][500/1873] lr: 1.112e-02, eta: 4:12:22, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4874, top5_acc: 0.7405, loss_cls: 4.5161, loss: 4.5161 +2023-12-21 23:57:18,011 - pyskl - INFO - Epoch [128][600/1873] lr: 1.107e-02, eta: 4:11:46, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4903, top5_acc: 0.7515, loss_cls: 4.4879, loss: 4.4879 +2023-12-21 23:57:51,089 - pyskl - INFO - Epoch [128][700/1873] lr: 1.102e-02, eta: 4:11:10, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4865, top5_acc: 0.7445, loss_cls: 4.5152, loss: 4.5152 +2023-12-21 23:58:24,227 - pyskl - INFO - Epoch [128][800/1873] lr: 1.097e-02, eta: 4:10:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4923, top5_acc: 0.7432, loss_cls: 4.5032, loss: 4.5032 +2023-12-21 23:58:57,441 - pyskl - INFO - Epoch [128][900/1873] lr: 1.092e-02, eta: 4:09:58, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4878, top5_acc: 0.7429, loss_cls: 4.5215, loss: 4.5215 +2023-12-21 23:59:30,708 - pyskl - INFO - Epoch [128][1000/1873] lr: 1.087e-02, eta: 4:09:22, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4856, top5_acc: 0.7412, loss_cls: 4.5184, loss: 4.5184 +2023-12-22 00:00:03,916 - pyskl - INFO - Epoch [128][1100/1873] lr: 1.082e-02, eta: 4:08:46, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4841, top5_acc: 0.7379, loss_cls: 4.5429, loss: 4.5429 +2023-12-22 00:00:37,050 - pyskl - INFO - Epoch [128][1200/1873] lr: 1.077e-02, eta: 4:08:10, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4871, top5_acc: 0.7446, loss_cls: 4.5085, loss: 4.5085 +2023-12-22 00:01:10,285 - pyskl - INFO - Epoch [128][1300/1873] lr: 1.072e-02, eta: 4:07:34, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4863, top5_acc: 0.7444, loss_cls: 4.5143, loss: 4.5143 +2023-12-22 00:01:43,595 - pyskl - INFO - Epoch [128][1400/1873] lr: 1.067e-02, eta: 4:06:58, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4818, top5_acc: 0.7381, loss_cls: 4.5456, loss: 4.5456 +2023-12-22 00:02:16,681 - pyskl - INFO - Epoch [128][1500/1873] lr: 1.062e-02, eta: 4:06:22, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4835, top5_acc: 0.7374, loss_cls: 4.5332, loss: 4.5332 +2023-12-22 00:02:49,732 - pyskl - INFO - Epoch [128][1600/1873] lr: 1.057e-02, eta: 4:05:46, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4789, top5_acc: 0.7323, loss_cls: 4.5768, loss: 4.5768 +2023-12-22 00:03:22,743 - pyskl - INFO - Epoch [128][1700/1873] lr: 1.052e-02, eta: 4:05:10, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4881, top5_acc: 0.7503, loss_cls: 4.5009, loss: 4.5009 +2023-12-22 00:03:55,694 - pyskl - INFO - Epoch [128][1800/1873] lr: 1.047e-02, eta: 4:04:34, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4955, top5_acc: 0.7434, loss_cls: 4.5012, loss: 4.5012 +2023-12-22 00:04:23,065 - pyskl - INFO - Saving checkpoint at 128 epochs +2023-12-22 00:05:13,799 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 00:05:14,889 - pyskl - INFO - +top1_acc 0.4088 +top5_acc 0.6707 +2023-12-22 00:05:14,889 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 00:05:14,938 - pyskl - INFO - +mean_acc 0.4085 +2023-12-22 00:05:14,953 - pyskl - INFO - Epoch(val) [128][155] top1_acc: 0.4088, top5_acc: 0.6707, mean_class_accuracy: 0.4085 +2023-12-22 00:06:57,996 - pyskl - INFO - Epoch [129][100/1873] lr: 1.038e-02, eta: 4:03:39, time: 1.030, data_time: 0.696, memory: 8129, top1_acc: 0.5055, top5_acc: 0.7620, loss_cls: 4.4258, loss: 4.4258 +2023-12-22 00:07:30,900 - pyskl - INFO - Epoch [129][200/1873] lr: 1.033e-02, eta: 4:03:03, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5141, top5_acc: 0.7634, loss_cls: 4.4028, loss: 4.4028 +2023-12-22 00:08:04,060 - pyskl - INFO - Epoch [129][300/1873] lr: 1.028e-02, eta: 4:02:27, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4985, top5_acc: 0.7546, loss_cls: 4.4638, loss: 4.4638 +2023-12-22 00:08:37,316 - pyskl - INFO - Epoch [129][400/1873] lr: 1.023e-02, eta: 4:01:52, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4949, top5_acc: 0.7544, loss_cls: 4.4653, loss: 4.4653 +2023-12-22 00:09:10,491 - pyskl - INFO - Epoch [129][500/1873] lr: 1.018e-02, eta: 4:01:16, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4970, top5_acc: 0.7475, loss_cls: 4.4914, loss: 4.4914 +2023-12-22 00:09:43,822 - pyskl - INFO - Epoch [129][600/1873] lr: 1.013e-02, eta: 4:00:40, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4915, top5_acc: 0.7490, loss_cls: 4.4844, loss: 4.4844 +2023-12-22 00:10:17,158 - pyskl - INFO - Epoch [129][700/1873] lr: 1.008e-02, eta: 4:00:04, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4995, top5_acc: 0.7566, loss_cls: 4.4446, loss: 4.4446 +2023-12-22 00:10:50,484 - pyskl - INFO - Epoch [129][800/1873] lr: 1.004e-02, eta: 3:59:28, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4971, top5_acc: 0.7487, loss_cls: 4.4708, loss: 4.4708 +2023-12-22 00:11:23,649 - pyskl - INFO - Epoch [129][900/1873] lr: 9.986e-03, eta: 3:58:52, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4947, top5_acc: 0.7508, loss_cls: 4.4832, loss: 4.4832 +2023-12-22 00:11:56,771 - pyskl - INFO - Epoch [129][1000/1873] lr: 9.938e-03, eta: 3:58:16, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4952, top5_acc: 0.7470, loss_cls: 4.4933, loss: 4.4933 +2023-12-22 00:12:29,775 - pyskl - INFO - Epoch [129][1100/1873] lr: 9.889e-03, eta: 3:57:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4930, top5_acc: 0.7472, loss_cls: 4.4882, loss: 4.4882 +2023-12-22 00:13:02,804 - pyskl - INFO - Epoch [129][1200/1873] lr: 9.841e-03, eta: 3:57:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4930, top5_acc: 0.7458, loss_cls: 4.5113, loss: 4.5113 +2023-12-22 00:13:36,044 - pyskl - INFO - Epoch [129][1300/1873] lr: 9.792e-03, eta: 3:56:28, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4935, top5_acc: 0.7512, loss_cls: 4.4654, loss: 4.4654 +2023-12-22 00:14:09,234 - pyskl - INFO - Epoch [129][1400/1873] lr: 9.744e-03, eta: 3:55:52, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4823, top5_acc: 0.7423, loss_cls: 4.5307, loss: 4.5307 +2023-12-22 00:14:42,327 - pyskl - INFO - Epoch [129][1500/1873] lr: 9.696e-03, eta: 3:55:16, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4941, top5_acc: 0.7467, loss_cls: 4.5015, loss: 4.5015 +2023-12-22 00:15:15,484 - pyskl - INFO - Epoch [129][1600/1873] lr: 9.648e-03, eta: 3:54:40, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4972, top5_acc: 0.7500, loss_cls: 4.4879, loss: 4.4879 +2023-12-22 00:15:48,515 - pyskl - INFO - Epoch [129][1700/1873] lr: 9.600e-03, eta: 3:54:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4830, top5_acc: 0.7388, loss_cls: 4.5248, loss: 4.5248 +2023-12-22 00:16:21,530 - pyskl - INFO - Epoch [129][1800/1873] lr: 9.553e-03, eta: 3:53:28, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4923, top5_acc: 0.7504, loss_cls: 4.4901, loss: 4.4901 +2023-12-22 00:16:48,634 - pyskl - INFO - Saving checkpoint at 129 epochs +2023-12-22 00:17:38,356 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 00:17:39,527 - pyskl - INFO - +top1_acc 0.4131 +top5_acc 0.6727 +2023-12-22 00:17:39,527 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 00:17:39,582 - pyskl - INFO - +mean_acc 0.4129 +2023-12-22 00:17:39,590 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_127.pth was removed +2023-12-22 00:17:39,893 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2023-12-22 00:17:39,894 - pyskl - INFO - Best top1_acc is 0.4131 at 129 epoch. +2023-12-22 00:17:39,914 - pyskl - INFO - Epoch(val) [129][155] top1_acc: 0.4131, top5_acc: 0.6727, mean_class_accuracy: 0.4129 +2023-12-22 00:19:22,092 - pyskl - INFO - Epoch [130][100/1873] lr: 9.470e-03, eta: 3:52:33, time: 1.022, data_time: 0.692, memory: 8129, top1_acc: 0.5162, top5_acc: 0.7655, loss_cls: 4.3953, loss: 4.3953 +2023-12-22 00:19:55,149 - pyskl - INFO - Epoch [130][200/1873] lr: 9.423e-03, eta: 3:51:57, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4918, top5_acc: 0.7521, loss_cls: 4.4532, loss: 4.4532 +2023-12-22 00:20:28,248 - pyskl - INFO - Epoch [130][300/1873] lr: 9.375e-03, eta: 3:51:21, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5085, top5_acc: 0.7539, loss_cls: 4.4224, loss: 4.4224 +2023-12-22 00:21:01,270 - pyskl - INFO - Epoch [130][400/1873] lr: 9.328e-03, eta: 3:50:45, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4940, top5_acc: 0.7519, loss_cls: 4.4628, loss: 4.4628 +2023-12-22 00:21:34,537 - pyskl - INFO - Epoch [130][500/1873] lr: 9.281e-03, eta: 3:50:09, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5066, top5_acc: 0.7634, loss_cls: 4.4101, loss: 4.4101 +2023-12-22 00:22:07,673 - pyskl - INFO - Epoch [130][600/1873] lr: 9.234e-03, eta: 3:49:33, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5101, top5_acc: 0.7548, loss_cls: 4.4414, loss: 4.4414 +2023-12-22 00:22:40,922 - pyskl - INFO - Epoch [130][700/1873] lr: 9.187e-03, eta: 3:48:58, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.4997, top5_acc: 0.7518, loss_cls: 4.4464, loss: 4.4464 +2023-12-22 00:23:14,071 - pyskl - INFO - Epoch [130][800/1873] lr: 9.141e-03, eta: 3:48:22, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4978, top5_acc: 0.7570, loss_cls: 4.4573, loss: 4.4573 +2023-12-22 00:23:47,269 - pyskl - INFO - Epoch [130][900/1873] lr: 9.094e-03, eta: 3:47:46, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4984, top5_acc: 0.7552, loss_cls: 4.4594, loss: 4.4594 +2023-12-22 00:24:20,498 - pyskl - INFO - Epoch [130][1000/1873] lr: 9.047e-03, eta: 3:47:10, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5007, top5_acc: 0.7592, loss_cls: 4.4236, loss: 4.4236 +2023-12-22 00:24:53,637 - pyskl - INFO - Epoch [130][1100/1873] lr: 9.001e-03, eta: 3:46:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5047, top5_acc: 0.7569, loss_cls: 4.4383, loss: 4.4383 +2023-12-22 00:25:26,892 - pyskl - INFO - Epoch [130][1200/1873] lr: 8.955e-03, eta: 3:45:58, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5044, top5_acc: 0.7501, loss_cls: 4.4467, loss: 4.4467 +2023-12-22 00:25:59,842 - pyskl - INFO - Epoch [130][1300/1873] lr: 8.908e-03, eta: 3:45:22, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.4984, top5_acc: 0.7463, loss_cls: 4.4764, loss: 4.4764 +2023-12-22 00:26:32,877 - pyskl - INFO - Epoch [130][1400/1873] lr: 8.862e-03, eta: 3:44:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4978, top5_acc: 0.7518, loss_cls: 4.4625, loss: 4.4625 +2023-12-22 00:27:06,037 - pyskl - INFO - Epoch [130][1500/1873] lr: 8.816e-03, eta: 3:44:10, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4996, top5_acc: 0.7509, loss_cls: 4.4649, loss: 4.4649 +2023-12-22 00:27:39,140 - pyskl - INFO - Epoch [130][1600/1873] lr: 8.771e-03, eta: 3:43:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.4998, top5_acc: 0.7509, loss_cls: 4.4666, loss: 4.4666 +2023-12-22 00:28:12,287 - pyskl - INFO - Epoch [130][1700/1873] lr: 8.725e-03, eta: 3:42:58, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5069, top5_acc: 0.7586, loss_cls: 4.4396, loss: 4.4396 +2023-12-22 00:28:45,482 - pyskl - INFO - Epoch [130][1800/1873] lr: 8.679e-03, eta: 3:42:22, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.4987, top5_acc: 0.7538, loss_cls: 4.4610, loss: 4.4610 +2023-12-22 00:29:12,579 - pyskl - INFO - Saving checkpoint at 130 epochs +2023-12-22 00:30:01,790 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 00:30:02,502 - pyskl - INFO - +top1_acc 0.4222 +top5_acc 0.6781 +2023-12-22 00:30:02,502 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 00:30:02,537 - pyskl - INFO - +mean_acc 0.4220 +2023-12-22 00:30:02,543 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_129.pth was removed +2023-12-22 00:30:02,751 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2023-12-22 00:30:02,752 - pyskl - INFO - Best top1_acc is 0.4222 at 130 epoch. +2023-12-22 00:30:02,762 - pyskl - INFO - Epoch(val) [130][155] top1_acc: 0.4222, top5_acc: 0.6781, mean_class_accuracy: 0.4220 +2023-12-22 00:31:45,662 - pyskl - INFO - Epoch [131][100/1873] lr: 8.600e-03, eta: 3:41:27, time: 1.029, data_time: 0.698, memory: 8129, top1_acc: 0.5180, top5_acc: 0.7662, loss_cls: 4.3794, loss: 4.3794 +2023-12-22 00:32:18,864 - pyskl - INFO - Epoch [131][200/1873] lr: 8.555e-03, eta: 3:40:51, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5146, top5_acc: 0.7639, loss_cls: 4.3913, loss: 4.3913 +2023-12-22 00:32:51,960 - pyskl - INFO - Epoch [131][300/1873] lr: 8.510e-03, eta: 3:40:15, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5205, top5_acc: 0.7684, loss_cls: 4.3643, loss: 4.3643 +2023-12-22 00:33:25,104 - pyskl - INFO - Epoch [131][400/1873] lr: 8.465e-03, eta: 3:39:39, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5145, top5_acc: 0.7662, loss_cls: 4.3826, loss: 4.3826 +2023-12-22 00:33:58,252 - pyskl - INFO - Epoch [131][500/1873] lr: 8.420e-03, eta: 3:39:03, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5041, top5_acc: 0.7616, loss_cls: 4.4131, loss: 4.4131 +2023-12-22 00:34:31,548 - pyskl - INFO - Epoch [131][600/1873] lr: 8.375e-03, eta: 3:38:27, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5049, top5_acc: 0.7586, loss_cls: 4.4225, loss: 4.4225 +2023-12-22 00:35:04,668 - pyskl - INFO - Epoch [131][700/1873] lr: 8.330e-03, eta: 3:37:52, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5127, top5_acc: 0.7607, loss_cls: 4.4059, loss: 4.4059 +2023-12-22 00:35:37,656 - pyskl - INFO - Epoch [131][800/1873] lr: 8.286e-03, eta: 3:37:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5065, top5_acc: 0.7578, loss_cls: 4.4289, loss: 4.4289 +2023-12-22 00:36:10,716 - pyskl - INFO - Epoch [131][900/1873] lr: 8.241e-03, eta: 3:36:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5043, top5_acc: 0.7567, loss_cls: 4.4285, loss: 4.4285 +2023-12-22 00:36:43,962 - pyskl - INFO - Epoch [131][1000/1873] lr: 8.197e-03, eta: 3:36:04, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5005, top5_acc: 0.7516, loss_cls: 4.4632, loss: 4.4632 +2023-12-22 00:37:17,031 - pyskl - INFO - Epoch [131][1100/1873] lr: 8.153e-03, eta: 3:35:28, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5015, top5_acc: 0.7578, loss_cls: 4.4353, loss: 4.4353 +2023-12-22 00:37:50,144 - pyskl - INFO - Epoch [131][1200/1873] lr: 8.108e-03, eta: 3:34:52, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5129, top5_acc: 0.7597, loss_cls: 4.4222, loss: 4.4222 +2023-12-22 00:38:23,317 - pyskl - INFO - Epoch [131][1300/1873] lr: 8.064e-03, eta: 3:34:16, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5091, top5_acc: 0.7601, loss_cls: 4.4087, loss: 4.4087 +2023-12-22 00:38:56,278 - pyskl - INFO - Epoch [131][1400/1873] lr: 8.020e-03, eta: 3:33:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5077, top5_acc: 0.7567, loss_cls: 4.4283, loss: 4.4283 +2023-12-22 00:39:29,477 - pyskl - INFO - Epoch [131][1500/1873] lr: 7.977e-03, eta: 3:33:04, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5105, top5_acc: 0.7562, loss_cls: 4.4158, loss: 4.4158 +2023-12-22 00:40:02,420 - pyskl - INFO - Epoch [131][1600/1873] lr: 7.933e-03, eta: 3:32:28, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.4998, top5_acc: 0.7555, loss_cls: 4.4359, loss: 4.4359 +2023-12-22 00:40:35,211 - pyskl - INFO - Epoch [131][1700/1873] lr: 7.889e-03, eta: 3:31:52, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.4970, top5_acc: 0.7526, loss_cls: 4.4498, loss: 4.4498 +2023-12-22 00:41:08,176 - pyskl - INFO - Epoch [131][1800/1873] lr: 7.846e-03, eta: 3:31:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5091, top5_acc: 0.7576, loss_cls: 4.4078, loss: 4.4078 +2023-12-22 00:41:35,649 - pyskl - INFO - Saving checkpoint at 131 epochs +2023-12-22 00:42:24,882 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 00:42:25,613 - pyskl - INFO - +top1_acc 0.4290 +top5_acc 0.6819 +2023-12-22 00:42:25,614 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 00:42:25,652 - pyskl - INFO - +mean_acc 0.4287 +2023-12-22 00:42:25,657 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_130.pth was removed +2023-12-22 00:42:25,843 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2023-12-22 00:42:25,844 - pyskl - INFO - Best top1_acc is 0.4290 at 131 epoch. +2023-12-22 00:42:25,854 - pyskl - INFO - Epoch(val) [131][155] top1_acc: 0.4290, top5_acc: 0.6819, mean_class_accuracy: 0.4287 +2023-12-22 00:44:10,529 - pyskl - INFO - Epoch [132][100/1873] lr: 7.771e-03, eta: 3:30:21, time: 1.047, data_time: 0.658, memory: 8129, top1_acc: 0.5360, top5_acc: 0.7819, loss_cls: 4.2998, loss: 4.2998 +2023-12-22 00:44:43,428 - pyskl - INFO - Epoch [132][200/1873] lr: 7.728e-03, eta: 3:29:45, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5195, top5_acc: 0.7758, loss_cls: 4.3523, loss: 4.3523 +2023-12-22 00:45:16,332 - pyskl - INFO - Epoch [132][300/1873] lr: 7.685e-03, eta: 3:29:09, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5270, top5_acc: 0.7719, loss_cls: 4.3223, loss: 4.3223 +2023-12-22 00:45:49,422 - pyskl - INFO - Epoch [132][400/1873] lr: 7.642e-03, eta: 3:28:33, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5181, top5_acc: 0.7715, loss_cls: 4.3463, loss: 4.3463 +2023-12-22 00:46:22,715 - pyskl - INFO - Epoch [132][500/1873] lr: 7.599e-03, eta: 3:27:57, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5194, top5_acc: 0.7738, loss_cls: 4.3564, loss: 4.3564 +2023-12-22 00:46:55,939 - pyskl - INFO - Epoch [132][600/1873] lr: 7.556e-03, eta: 3:27:21, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5194, top5_acc: 0.7745, loss_cls: 4.3403, loss: 4.3403 +2023-12-22 00:47:28,969 - pyskl - INFO - Epoch [132][700/1873] lr: 7.514e-03, eta: 3:26:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5169, top5_acc: 0.7691, loss_cls: 4.3876, loss: 4.3876 +2023-12-22 00:48:01,989 - pyskl - INFO - Epoch [132][800/1873] lr: 7.471e-03, eta: 3:26:10, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5116, top5_acc: 0.7648, loss_cls: 4.3766, loss: 4.3766 +2023-12-22 00:48:35,018 - pyskl - INFO - Epoch [132][900/1873] lr: 7.429e-03, eta: 3:25:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5198, top5_acc: 0.7640, loss_cls: 4.4007, loss: 4.4007 +2023-12-22 00:49:08,136 - pyskl - INFO - Epoch [132][1000/1873] lr: 7.387e-03, eta: 3:24:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5092, top5_acc: 0.7680, loss_cls: 4.3901, loss: 4.3901 +2023-12-22 00:49:41,049 - pyskl - INFO - Epoch [132][1100/1873] lr: 7.344e-03, eta: 3:24:22, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5120, top5_acc: 0.7616, loss_cls: 4.4159, loss: 4.4159 +2023-12-22 00:50:14,041 - pyskl - INFO - Epoch [132][1200/1873] lr: 7.302e-03, eta: 3:23:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5128, top5_acc: 0.7629, loss_cls: 4.3987, loss: 4.3987 +2023-12-22 00:50:47,011 - pyskl - INFO - Epoch [132][1300/1873] lr: 7.261e-03, eta: 3:23:10, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5138, top5_acc: 0.7641, loss_cls: 4.3928, loss: 4.3928 +2023-12-22 00:51:19,988 - pyskl - INFO - Epoch [132][1400/1873] lr: 7.219e-03, eta: 3:22:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5162, top5_acc: 0.7603, loss_cls: 4.3968, loss: 4.3968 +2023-12-22 00:51:53,104 - pyskl - INFO - Epoch [132][1500/1873] lr: 7.177e-03, eta: 3:21:58, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5109, top5_acc: 0.7643, loss_cls: 4.4020, loss: 4.4020 +2023-12-22 00:52:26,257 - pyskl - INFO - Epoch [132][1600/1873] lr: 7.136e-03, eta: 3:21:22, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5083, top5_acc: 0.7634, loss_cls: 4.4004, loss: 4.4004 +2023-12-22 00:52:59,013 - pyskl - INFO - Epoch [132][1700/1873] lr: 7.094e-03, eta: 3:20:46, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5081, top5_acc: 0.7602, loss_cls: 4.4252, loss: 4.4252 +2023-12-22 00:53:31,898 - pyskl - INFO - Epoch [132][1800/1873] lr: 7.053e-03, eta: 3:20:11, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5095, top5_acc: 0.7568, loss_cls: 4.4299, loss: 4.4299 +2023-12-22 00:53:59,054 - pyskl - INFO - Saving checkpoint at 132 epochs +2023-12-22 00:54:50,784 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 00:54:51,737 - pyskl - INFO - +top1_acc 0.4278 +top5_acc 0.6808 +2023-12-22 00:54:51,737 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 00:54:51,770 - pyskl - INFO - +mean_acc 0.4275 +2023-12-22 00:54:51,780 - pyskl - INFO - Epoch(val) [132][155] top1_acc: 0.4278, top5_acc: 0.6808, mean_class_accuracy: 0.4275 +2023-12-22 00:56:33,243 - pyskl - INFO - Epoch [133][100/1873] lr: 6.982e-03, eta: 3:19:14, time: 1.014, data_time: 0.671, memory: 8129, top1_acc: 0.5327, top5_acc: 0.7788, loss_cls: 4.2916, loss: 4.2916 +2023-12-22 00:57:05,972 - pyskl - INFO - Epoch [133][200/1873] lr: 6.941e-03, eta: 3:18:39, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.5252, top5_acc: 0.7802, loss_cls: 4.3103, loss: 4.3103 +2023-12-22 00:57:38,783 - pyskl - INFO - Epoch [133][300/1873] lr: 6.900e-03, eta: 3:18:03, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5327, top5_acc: 0.7801, loss_cls: 4.3130, loss: 4.3130 +2023-12-22 00:58:11,717 - pyskl - INFO - Epoch [133][400/1873] lr: 6.859e-03, eta: 3:17:27, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5218, top5_acc: 0.7734, loss_cls: 4.3454, loss: 4.3454 +2023-12-22 00:58:44,800 - pyskl - INFO - Epoch [133][500/1873] lr: 6.818e-03, eta: 3:16:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5253, top5_acc: 0.7768, loss_cls: 4.3354, loss: 4.3354 +2023-12-22 00:59:17,808 - pyskl - INFO - Epoch [133][600/1873] lr: 6.778e-03, eta: 3:16:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5270, top5_acc: 0.7749, loss_cls: 4.3168, loss: 4.3168 +2023-12-22 00:59:50,674 - pyskl - INFO - Epoch [133][700/1873] lr: 6.737e-03, eta: 3:15:39, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5229, top5_acc: 0.7732, loss_cls: 4.3462, loss: 4.3462 +2023-12-22 01:00:23,715 - pyskl - INFO - Epoch [133][800/1873] lr: 6.697e-03, eta: 3:15:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5255, top5_acc: 0.7749, loss_cls: 4.3227, loss: 4.3227 +2023-12-22 01:00:56,960 - pyskl - INFO - Epoch [133][900/1873] lr: 6.657e-03, eta: 3:14:27, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5307, top5_acc: 0.7752, loss_cls: 4.3242, loss: 4.3242 +2023-12-22 01:01:29,941 - pyskl - INFO - Epoch [133][1000/1873] lr: 6.617e-03, eta: 3:13:51, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5234, top5_acc: 0.7711, loss_cls: 4.3653, loss: 4.3653 +2023-12-22 01:02:02,889 - pyskl - INFO - Epoch [133][1100/1873] lr: 6.577e-03, eta: 3:13:15, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5179, top5_acc: 0.7723, loss_cls: 4.3462, loss: 4.3462 +2023-12-22 01:02:35,994 - pyskl - INFO - Epoch [133][1200/1873] lr: 6.537e-03, eta: 3:12:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5145, top5_acc: 0.7758, loss_cls: 4.3584, loss: 4.3584 +2023-12-22 01:03:09,059 - pyskl - INFO - Epoch [133][1300/1873] lr: 6.497e-03, eta: 3:12:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5301, top5_acc: 0.7709, loss_cls: 4.3379, loss: 4.3379 +2023-12-22 01:03:41,999 - pyskl - INFO - Epoch [133][1400/1873] lr: 6.458e-03, eta: 3:11:28, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5148, top5_acc: 0.7688, loss_cls: 4.3666, loss: 4.3666 +2023-12-22 01:04:15,108 - pyskl - INFO - Epoch [133][1500/1873] lr: 6.418e-03, eta: 3:10:52, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5217, top5_acc: 0.7691, loss_cls: 4.3365, loss: 4.3365 +2023-12-22 01:04:48,307 - pyskl - INFO - Epoch [133][1600/1873] lr: 6.379e-03, eta: 3:10:16, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5173, top5_acc: 0.7634, loss_cls: 4.3954, loss: 4.3954 +2023-12-22 01:05:21,444 - pyskl - INFO - Epoch [133][1700/1873] lr: 6.340e-03, eta: 3:09:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5224, top5_acc: 0.7761, loss_cls: 4.3377, loss: 4.3377 +2023-12-22 01:05:54,453 - pyskl - INFO - Epoch [133][1800/1873] lr: 6.301e-03, eta: 3:09:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5102, top5_acc: 0.7670, loss_cls: 4.3982, loss: 4.3982 +2023-12-22 01:06:21,890 - pyskl - INFO - Saving checkpoint at 133 epochs +2023-12-22 01:07:12,406 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 01:07:13,324 - pyskl - INFO - +top1_acc 0.4336 +top5_acc 0.6881 +2023-12-22 01:07:13,325 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 01:07:13,361 - pyskl - INFO - +mean_acc 0.4333 +2023-12-22 01:07:13,365 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_131.pth was removed +2023-12-22 01:07:13,538 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2023-12-22 01:07:13,539 - pyskl - INFO - Best top1_acc is 0.4336 at 133 epoch. +2023-12-22 01:07:13,549 - pyskl - INFO - Epoch(val) [133][155] top1_acc: 0.4336, top5_acc: 0.6881, mean_class_accuracy: 0.4333 +2023-12-22 01:08:54,600 - pyskl - INFO - Epoch [134][100/1873] lr: 6.233e-03, eta: 3:08:08, time: 1.010, data_time: 0.669, memory: 8129, top1_acc: 0.5456, top5_acc: 0.7903, loss_cls: 4.2342, loss: 4.2342 +2023-12-22 01:09:27,380 - pyskl - INFO - Epoch [134][200/1873] lr: 6.194e-03, eta: 3:07:32, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5431, top5_acc: 0.7809, loss_cls: 4.2791, loss: 4.2791 +2023-12-22 01:10:00,538 - pyskl - INFO - Epoch [134][300/1873] lr: 6.156e-03, eta: 3:06:56, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5344, top5_acc: 0.7789, loss_cls: 4.3027, loss: 4.3027 +2023-12-22 01:10:33,617 - pyskl - INFO - Epoch [134][400/1873] lr: 6.117e-03, eta: 3:06:20, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5325, top5_acc: 0.7852, loss_cls: 4.2707, loss: 4.2707 +2023-12-22 01:11:06,846 - pyskl - INFO - Epoch [134][500/1873] lr: 6.079e-03, eta: 3:05:44, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5304, top5_acc: 0.7834, loss_cls: 4.2860, loss: 4.2860 +2023-12-22 01:11:40,122 - pyskl - INFO - Epoch [134][600/1873] lr: 6.040e-03, eta: 3:05:08, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5383, top5_acc: 0.7820, loss_cls: 4.2865, loss: 4.2865 +2023-12-22 01:12:13,195 - pyskl - INFO - Epoch [134][700/1873] lr: 6.002e-03, eta: 3:04:33, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5268, top5_acc: 0.7761, loss_cls: 4.3145, loss: 4.3145 +2023-12-22 01:12:46,041 - pyskl - INFO - Epoch [134][800/1873] lr: 5.964e-03, eta: 3:03:57, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5382, top5_acc: 0.7871, loss_cls: 4.2778, loss: 4.2778 +2023-12-22 01:13:19,026 - pyskl - INFO - Epoch [134][900/1873] lr: 5.926e-03, eta: 3:03:21, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5294, top5_acc: 0.7741, loss_cls: 4.3171, loss: 4.3171 +2023-12-22 01:13:51,930 - pyskl - INFO - Epoch [134][1000/1873] lr: 5.888e-03, eta: 3:02:45, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5256, top5_acc: 0.7720, loss_cls: 4.3369, loss: 4.3369 +2023-12-22 01:14:24,890 - pyskl - INFO - Epoch [134][1100/1873] lr: 5.851e-03, eta: 3:02:09, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5230, top5_acc: 0.7794, loss_cls: 4.3228, loss: 4.3228 +2023-12-22 01:14:57,802 - pyskl - INFO - Epoch [134][1200/1873] lr: 5.813e-03, eta: 3:01:33, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5262, top5_acc: 0.7763, loss_cls: 4.3293, loss: 4.3293 +2023-12-22 01:15:30,998 - pyskl - INFO - Epoch [134][1300/1873] lr: 5.775e-03, eta: 3:00:57, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5315, top5_acc: 0.7807, loss_cls: 4.3061, loss: 4.3061 +2023-12-22 01:16:04,019 - pyskl - INFO - Epoch [134][1400/1873] lr: 5.738e-03, eta: 3:00:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5198, top5_acc: 0.7711, loss_cls: 4.3548, loss: 4.3548 +2023-12-22 01:16:37,020 - pyskl - INFO - Epoch [134][1500/1873] lr: 5.701e-03, eta: 2:59:46, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5341, top5_acc: 0.7730, loss_cls: 4.3227, loss: 4.3227 +2023-12-22 01:17:10,010 - pyskl - INFO - Epoch [134][1600/1873] lr: 5.664e-03, eta: 2:59:10, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5337, top5_acc: 0.7780, loss_cls: 4.3135, loss: 4.3135 +2023-12-22 01:17:43,002 - pyskl - INFO - Epoch [134][1700/1873] lr: 5.627e-03, eta: 2:58:34, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5286, top5_acc: 0.7720, loss_cls: 4.3341, loss: 4.3341 +2023-12-22 01:18:15,861 - pyskl - INFO - Epoch [134][1800/1873] lr: 5.590e-03, eta: 2:57:58, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5218, top5_acc: 0.7737, loss_cls: 4.3449, loss: 4.3449 +2023-12-22 01:18:43,353 - pyskl - INFO - Saving checkpoint at 134 epochs +2023-12-22 01:19:34,049 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 01:19:34,817 - pyskl - INFO - +top1_acc 0.4377 +top5_acc 0.6903 +2023-12-22 01:19:34,817 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 01:19:34,860 - pyskl - INFO - +mean_acc 0.4376 +2023-12-22 01:19:34,866 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_133.pth was removed +2023-12-22 01:19:35,057 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2023-12-22 01:19:35,058 - pyskl - INFO - Best top1_acc is 0.4377 at 134 epoch. +2023-12-22 01:19:35,078 - pyskl - INFO - Epoch(val) [134][155] top1_acc: 0.4377, top5_acc: 0.6903, mean_class_accuracy: 0.4376 +2023-12-22 01:21:15,491 - pyskl - INFO - Epoch [135][100/1873] lr: 5.526e-03, eta: 2:57:01, time: 1.004, data_time: 0.661, memory: 8129, top1_acc: 0.5448, top5_acc: 0.7883, loss_cls: 4.2401, loss: 4.2401 +2023-12-22 01:21:48,220 - pyskl - INFO - Epoch [135][200/1873] lr: 5.489e-03, eta: 2:56:25, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.5549, top5_acc: 0.7924, loss_cls: 4.2192, loss: 4.2192 +2023-12-22 01:22:21,189 - pyskl - INFO - Epoch [135][300/1873] lr: 5.453e-03, eta: 2:55:49, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5433, top5_acc: 0.7881, loss_cls: 4.2512, loss: 4.2512 +2023-12-22 01:22:54,113 - pyskl - INFO - Epoch [135][400/1873] lr: 5.417e-03, eta: 2:55:14, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5463, top5_acc: 0.7955, loss_cls: 4.2168, loss: 4.2168 +2023-12-22 01:23:27,181 - pyskl - INFO - Epoch [135][500/1873] lr: 5.380e-03, eta: 2:54:38, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5513, top5_acc: 0.7913, loss_cls: 4.2333, loss: 4.2333 +2023-12-22 01:24:00,390 - pyskl - INFO - Epoch [135][600/1873] lr: 5.344e-03, eta: 2:54:02, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5375, top5_acc: 0.7891, loss_cls: 4.2596, loss: 4.2596 +2023-12-22 01:24:33,562 - pyskl - INFO - Epoch [135][700/1873] lr: 5.308e-03, eta: 2:53:26, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5473, top5_acc: 0.7882, loss_cls: 4.2603, loss: 4.2603 +2023-12-22 01:25:06,661 - pyskl - INFO - Epoch [135][800/1873] lr: 5.272e-03, eta: 2:52:50, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5468, top5_acc: 0.7896, loss_cls: 4.2438, loss: 4.2438 +2023-12-22 01:25:39,565 - pyskl - INFO - Epoch [135][900/1873] lr: 5.237e-03, eta: 2:52:14, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5327, top5_acc: 0.7801, loss_cls: 4.2912, loss: 4.2912 +2023-12-22 01:26:12,644 - pyskl - INFO - Epoch [135][1000/1873] lr: 5.201e-03, eta: 2:51:38, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5362, top5_acc: 0.7808, loss_cls: 4.2852, loss: 4.2852 +2023-12-22 01:26:45,578 - pyskl - INFO - Epoch [135][1100/1873] lr: 5.165e-03, eta: 2:51:03, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5288, top5_acc: 0.7789, loss_cls: 4.3124, loss: 4.3124 +2023-12-22 01:27:18,526 - pyskl - INFO - Epoch [135][1200/1873] lr: 5.130e-03, eta: 2:50:27, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5346, top5_acc: 0.7830, loss_cls: 4.2884, loss: 4.2884 +2023-12-22 01:27:51,601 - pyskl - INFO - Epoch [135][1300/1873] lr: 5.095e-03, eta: 2:49:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5337, top5_acc: 0.7777, loss_cls: 4.3106, loss: 4.3106 +2023-12-22 01:28:24,549 - pyskl - INFO - Epoch [135][1400/1873] lr: 5.059e-03, eta: 2:49:15, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5380, top5_acc: 0.7841, loss_cls: 4.2810, loss: 4.2810 +2023-12-22 01:28:57,607 - pyskl - INFO - Epoch [135][1500/1873] lr: 5.024e-03, eta: 2:48:39, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5268, top5_acc: 0.7823, loss_cls: 4.2994, loss: 4.2994 +2023-12-22 01:29:30,573 - pyskl - INFO - Epoch [135][1600/1873] lr: 4.989e-03, eta: 2:48:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5220, top5_acc: 0.7738, loss_cls: 4.3414, loss: 4.3414 +2023-12-22 01:30:03,325 - pyskl - INFO - Epoch [135][1700/1873] lr: 4.955e-03, eta: 2:47:28, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.5375, top5_acc: 0.7795, loss_cls: 4.2863, loss: 4.2863 +2023-12-22 01:30:36,405 - pyskl - INFO - Epoch [135][1800/1873] lr: 4.920e-03, eta: 2:46:52, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5383, top5_acc: 0.7812, loss_cls: 4.2846, loss: 4.2846 +2023-12-22 01:31:04,127 - pyskl - INFO - Saving checkpoint at 135 epochs +2023-12-22 01:31:54,743 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 01:31:55,484 - pyskl - INFO - +top1_acc 0.4424 +top5_acc 0.6974 +2023-12-22 01:31:55,484 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 01:31:55,534 - pyskl - INFO - +mean_acc 0.4422 +2023-12-22 01:31:55,538 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_134.pth was removed +2023-12-22 01:31:55,727 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2023-12-22 01:31:55,727 - pyskl - INFO - Best top1_acc is 0.4424 at 135 epoch. +2023-12-22 01:31:55,745 - pyskl - INFO - Epoch(val) [135][155] top1_acc: 0.4424, top5_acc: 0.6974, mean_class_accuracy: 0.4422 +2023-12-22 01:33:39,275 - pyskl - INFO - Epoch [136][100/1873] lr: 4.860e-03, eta: 2:45:55, time: 1.035, data_time: 0.672, memory: 8129, top1_acc: 0.5618, top5_acc: 0.8055, loss_cls: 4.1742, loss: 4.1742 +2023-12-22 01:34:12,191 - pyskl - INFO - Epoch [136][200/1873] lr: 4.826e-03, eta: 2:45:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5542, top5_acc: 0.7963, loss_cls: 4.2038, loss: 4.2038 +2023-12-22 01:34:45,075 - pyskl - INFO - Epoch [136][300/1873] lr: 4.792e-03, eta: 2:44:43, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5484, top5_acc: 0.7954, loss_cls: 4.2056, loss: 4.2056 +2023-12-22 01:35:18,043 - pyskl - INFO - Epoch [136][400/1873] lr: 4.757e-03, eta: 2:44:07, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5441, top5_acc: 0.7920, loss_cls: 4.2381, loss: 4.2381 +2023-12-22 01:35:50,973 - pyskl - INFO - Epoch [136][500/1873] lr: 4.723e-03, eta: 2:43:32, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5510, top5_acc: 0.7914, loss_cls: 4.2297, loss: 4.2297 +2023-12-22 01:36:24,046 - pyskl - INFO - Epoch [136][600/1873] lr: 4.690e-03, eta: 2:42:56, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5523, top5_acc: 0.7954, loss_cls: 4.2040, loss: 4.2040 +2023-12-22 01:36:57,100 - pyskl - INFO - Epoch [136][700/1873] lr: 4.656e-03, eta: 2:42:20, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5503, top5_acc: 0.7953, loss_cls: 4.2087, loss: 4.2087 +2023-12-22 01:37:29,888 - pyskl - INFO - Epoch [136][800/1873] lr: 4.622e-03, eta: 2:41:44, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5441, top5_acc: 0.7859, loss_cls: 4.2597, loss: 4.2597 +2023-12-22 01:38:02,734 - pyskl - INFO - Epoch [136][900/1873] lr: 4.589e-03, eta: 2:41:08, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5542, top5_acc: 0.7994, loss_cls: 4.1987, loss: 4.1987 +2023-12-22 01:38:35,443 - pyskl - INFO - Epoch [136][1000/1873] lr: 4.555e-03, eta: 2:40:32, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.5431, top5_acc: 0.7836, loss_cls: 4.2663, loss: 4.2663 +2023-12-22 01:39:08,283 - pyskl - INFO - Epoch [136][1100/1873] lr: 4.522e-03, eta: 2:39:56, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5456, top5_acc: 0.7937, loss_cls: 4.2296, loss: 4.2296 +2023-12-22 01:39:41,221 - pyskl - INFO - Epoch [136][1200/1873] lr: 4.489e-03, eta: 2:39:21, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5402, top5_acc: 0.7879, loss_cls: 4.2550, loss: 4.2550 +2023-12-22 01:40:13,921 - pyskl - INFO - Epoch [136][1300/1873] lr: 4.456e-03, eta: 2:38:45, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.5434, top5_acc: 0.7917, loss_cls: 4.2472, loss: 4.2472 +2023-12-22 01:40:46,540 - pyskl - INFO - Epoch [136][1400/1873] lr: 4.423e-03, eta: 2:38:09, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.5403, top5_acc: 0.7910, loss_cls: 4.2453, loss: 4.2453 +2023-12-22 01:41:19,400 - pyskl - INFO - Epoch [136][1500/1873] lr: 4.390e-03, eta: 2:37:33, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5455, top5_acc: 0.7870, loss_cls: 4.2436, loss: 4.2436 +2023-12-22 01:41:52,242 - pyskl - INFO - Epoch [136][1600/1873] lr: 4.357e-03, eta: 2:36:57, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5372, top5_acc: 0.7848, loss_cls: 4.2749, loss: 4.2749 +2023-12-22 01:42:24,821 - pyskl - INFO - Epoch [136][1700/1873] lr: 4.324e-03, eta: 2:36:21, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.5423, top5_acc: 0.7923, loss_cls: 4.2285, loss: 4.2285 +2023-12-22 01:42:57,578 - pyskl - INFO - Epoch [136][1800/1873] lr: 4.292e-03, eta: 2:35:46, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5425, top5_acc: 0.7880, loss_cls: 4.2632, loss: 4.2632 +2023-12-22 01:43:25,196 - pyskl - INFO - Saving checkpoint at 136 epochs +2023-12-22 01:44:15,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 01:44:16,165 - pyskl - INFO - +top1_acc 0.4451 +top5_acc 0.6963 +2023-12-22 01:44:16,166 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 01:44:16,199 - pyskl - INFO - +mean_acc 0.4449 +2023-12-22 01:44:16,204 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_135.pth was removed +2023-12-22 01:44:16,378 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. +2023-12-22 01:44:16,379 - pyskl - INFO - Best top1_acc is 0.4451 at 136 epoch. +2023-12-22 01:44:16,389 - pyskl - INFO - Epoch(val) [136][155] top1_acc: 0.4451, top5_acc: 0.6963, mean_class_accuracy: 0.4449 +2023-12-22 01:46:01,124 - pyskl - INFO - Epoch [137][100/1873] lr: 4.236e-03, eta: 2:34:49, time: 1.047, data_time: 0.692, memory: 8129, top1_acc: 0.5662, top5_acc: 0.8038, loss_cls: 4.1518, loss: 4.1518 +2023-12-22 01:46:34,052 - pyskl - INFO - Epoch [137][200/1873] lr: 4.204e-03, eta: 2:34:13, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5598, top5_acc: 0.8057, loss_cls: 4.1664, loss: 4.1664 +2023-12-22 01:47:07,232 - pyskl - INFO - Epoch [137][300/1873] lr: 4.172e-03, eta: 2:33:37, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5648, top5_acc: 0.8054, loss_cls: 4.1588, loss: 4.1588 +2023-12-22 01:47:40,469 - pyskl - INFO - Epoch [137][400/1873] lr: 4.140e-03, eta: 2:33:01, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5598, top5_acc: 0.8021, loss_cls: 4.1724, loss: 4.1724 +2023-12-22 01:48:13,682 - pyskl - INFO - Epoch [137][500/1873] lr: 4.108e-03, eta: 2:32:25, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5562, top5_acc: 0.7999, loss_cls: 4.1763, loss: 4.1763 +2023-12-22 01:48:46,631 - pyskl - INFO - Epoch [137][600/1873] lr: 4.077e-03, eta: 2:31:50, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5551, top5_acc: 0.8009, loss_cls: 4.1944, loss: 4.1944 +2023-12-22 01:49:19,474 - pyskl - INFO - Epoch [137][700/1873] lr: 4.045e-03, eta: 2:31:14, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5613, top5_acc: 0.8018, loss_cls: 4.1777, loss: 4.1777 +2023-12-22 01:49:52,240 - pyskl - INFO - Epoch [137][800/1873] lr: 4.014e-03, eta: 2:30:38, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5561, top5_acc: 0.8023, loss_cls: 4.1868, loss: 4.1868 +2023-12-22 01:50:24,907 - pyskl - INFO - Epoch [137][900/1873] lr: 3.982e-03, eta: 2:30:02, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.5531, top5_acc: 0.7986, loss_cls: 4.2119, loss: 4.2119 +2023-12-22 01:50:57,718 - pyskl - INFO - Epoch [137][1000/1873] lr: 3.951e-03, eta: 2:29:26, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5593, top5_acc: 0.7963, loss_cls: 4.1877, loss: 4.1877 +2023-12-22 01:51:30,540 - pyskl - INFO - Epoch [137][1100/1873] lr: 3.920e-03, eta: 2:28:50, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5552, top5_acc: 0.8059, loss_cls: 4.1684, loss: 4.1684 +2023-12-22 01:52:03,243 - pyskl - INFO - Epoch [137][1200/1873] lr: 3.889e-03, eta: 2:28:15, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.5470, top5_acc: 0.7986, loss_cls: 4.2064, loss: 4.2064 +2023-12-22 01:52:36,499 - pyskl - INFO - Epoch [137][1300/1873] lr: 3.858e-03, eta: 2:27:39, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5497, top5_acc: 0.8009, loss_cls: 4.1890, loss: 4.1890 +2023-12-22 01:53:09,517 - pyskl - INFO - Epoch [137][1400/1873] lr: 3.828e-03, eta: 2:27:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5560, top5_acc: 0.7995, loss_cls: 4.1906, loss: 4.1906 +2023-12-22 01:53:42,423 - pyskl - INFO - Epoch [137][1500/1873] lr: 3.797e-03, eta: 2:26:27, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5486, top5_acc: 0.7897, loss_cls: 4.2287, loss: 4.2287 +2023-12-22 01:54:15,370 - pyskl - INFO - Epoch [137][1600/1873] lr: 3.767e-03, eta: 2:25:51, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5494, top5_acc: 0.7893, loss_cls: 4.2319, loss: 4.2319 +2023-12-22 01:54:48,382 - pyskl - INFO - Epoch [137][1700/1873] lr: 3.736e-03, eta: 2:25:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5553, top5_acc: 0.7944, loss_cls: 4.1970, loss: 4.1970 +2023-12-22 01:55:21,399 - pyskl - INFO - Epoch [137][1800/1873] lr: 3.706e-03, eta: 2:24:40, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5496, top5_acc: 0.7932, loss_cls: 4.2308, loss: 4.2308 +2023-12-22 01:55:49,323 - pyskl - INFO - Saving checkpoint at 137 epochs +2023-12-22 01:56:39,703 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 01:56:40,447 - pyskl - INFO - +top1_acc 0.4468 +top5_acc 0.6997 +2023-12-22 01:56:40,447 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 01:56:40,490 - pyskl - INFO - +mean_acc 0.4465 +2023-12-22 01:56:40,495 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_136.pth was removed +2023-12-22 01:56:40,678 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. +2023-12-22 01:56:40,678 - pyskl - INFO - Best top1_acc is 0.4468 at 137 epoch. +2023-12-22 01:56:40,690 - pyskl - INFO - Epoch(val) [137][155] top1_acc: 0.4468, top5_acc: 0.6997, mean_class_accuracy: 0.4465 +2023-12-22 01:58:21,833 - pyskl - INFO - Epoch [138][100/1873] lr: 3.654e-03, eta: 2:23:42, time: 1.011, data_time: 0.676, memory: 8129, top1_acc: 0.5658, top5_acc: 0.8098, loss_cls: 4.1398, loss: 4.1398 +2023-12-22 01:58:54,828 - pyskl - INFO - Epoch [138][200/1873] lr: 3.624e-03, eta: 2:23:06, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5750, top5_acc: 0.8148, loss_cls: 4.0973, loss: 4.0973 +2023-12-22 01:59:27,839 - pyskl - INFO - Epoch [138][300/1873] lr: 3.594e-03, eta: 2:22:30, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5717, top5_acc: 0.8097, loss_cls: 4.1238, loss: 4.1238 +2023-12-22 02:00:00,961 - pyskl - INFO - Epoch [138][400/1873] lr: 3.565e-03, eta: 2:21:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5748, top5_acc: 0.8101, loss_cls: 4.1190, loss: 4.1190 +2023-12-22 02:00:33,882 - pyskl - INFO - Epoch [138][500/1873] lr: 3.535e-03, eta: 2:21:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5631, top5_acc: 0.8042, loss_cls: 4.1554, loss: 4.1554 +2023-12-22 02:01:06,904 - pyskl - INFO - Epoch [138][600/1873] lr: 3.506e-03, eta: 2:20:43, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5655, top5_acc: 0.8069, loss_cls: 4.1510, loss: 4.1510 +2023-12-22 02:01:39,996 - pyskl - INFO - Epoch [138][700/1873] lr: 3.476e-03, eta: 2:20:07, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5669, top5_acc: 0.8071, loss_cls: 4.1488, loss: 4.1488 +2023-12-22 02:02:13,147 - pyskl - INFO - Epoch [138][800/1873] lr: 3.447e-03, eta: 2:19:32, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5633, top5_acc: 0.8103, loss_cls: 4.1344, loss: 4.1344 +2023-12-22 02:02:46,083 - pyskl - INFO - Epoch [138][900/1873] lr: 3.418e-03, eta: 2:18:56, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5565, top5_acc: 0.8021, loss_cls: 4.1772, loss: 4.1772 +2023-12-22 02:03:19,128 - pyskl - INFO - Epoch [138][1000/1873] lr: 3.389e-03, eta: 2:18:20, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5574, top5_acc: 0.8027, loss_cls: 4.1758, loss: 4.1758 +2023-12-22 02:03:52,221 - pyskl - INFO - Epoch [138][1100/1873] lr: 3.361e-03, eta: 2:17:44, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5582, top5_acc: 0.8069, loss_cls: 4.1739, loss: 4.1739 +2023-12-22 02:04:25,308 - pyskl - INFO - Epoch [138][1200/1873] lr: 3.332e-03, eta: 2:17:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5665, top5_acc: 0.8069, loss_cls: 4.1437, loss: 4.1437 +2023-12-22 02:04:58,033 - pyskl - INFO - Epoch [138][1300/1873] lr: 3.303e-03, eta: 2:16:33, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.5574, top5_acc: 0.8000, loss_cls: 4.1960, loss: 4.1960 +2023-12-22 02:05:30,720 - pyskl - INFO - Epoch [138][1400/1873] lr: 3.275e-03, eta: 2:15:57, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.5727, top5_acc: 0.8091, loss_cls: 4.1213, loss: 4.1213 +2023-12-22 02:06:03,537 - pyskl - INFO - Epoch [138][1500/1873] lr: 3.247e-03, eta: 2:15:21, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5584, top5_acc: 0.8005, loss_cls: 4.1631, loss: 4.1631 +2023-12-22 02:06:36,290 - pyskl - INFO - Epoch [138][1600/1873] lr: 3.218e-03, eta: 2:14:45, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.5627, top5_acc: 0.8020, loss_cls: 4.1750, loss: 4.1750 +2023-12-22 02:07:09,162 - pyskl - INFO - Epoch [138][1700/1873] lr: 3.190e-03, eta: 2:14:09, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5696, top5_acc: 0.8065, loss_cls: 4.1405, loss: 4.1405 +2023-12-22 02:07:41,868 - pyskl - INFO - Epoch [138][1800/1873] lr: 3.162e-03, eta: 2:13:34, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.5666, top5_acc: 0.8025, loss_cls: 4.1498, loss: 4.1498 +2023-12-22 02:08:08,985 - pyskl - INFO - Saving checkpoint at 138 epochs +2023-12-22 02:08:59,780 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 02:09:00,506 - pyskl - INFO - +top1_acc 0.4544 +top5_acc 0.7042 +2023-12-22 02:09:00,506 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 02:09:00,545 - pyskl - INFO - +mean_acc 0.4541 +2023-12-22 02:09:00,550 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_137.pth was removed +2023-12-22 02:09:00,728 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2023-12-22 02:09:00,728 - pyskl - INFO - Best top1_acc is 0.4544 at 138 epoch. +2023-12-22 02:09:00,740 - pyskl - INFO - Epoch(val) [138][155] top1_acc: 0.4544, top5_acc: 0.7042, mean_class_accuracy: 0.4541 +2023-12-22 02:10:41,558 - pyskl - INFO - Epoch [139][100/1873] lr: 3.114e-03, eta: 2:12:36, time: 1.008, data_time: 0.675, memory: 8129, top1_acc: 0.5839, top5_acc: 0.8174, loss_cls: 4.0734, loss: 4.0734 +2023-12-22 02:11:14,759 - pyskl - INFO - Epoch [139][200/1873] lr: 3.087e-03, eta: 2:12:00, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5783, top5_acc: 0.8166, loss_cls: 4.0715, loss: 4.0715 +2023-12-22 02:11:48,059 - pyskl - INFO - Epoch [139][300/1873] lr: 3.059e-03, eta: 2:11:24, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5855, top5_acc: 0.8206, loss_cls: 4.0634, loss: 4.0634 +2023-12-22 02:12:21,523 - pyskl - INFO - Epoch [139][400/1873] lr: 3.032e-03, eta: 2:10:48, time: 0.335, data_time: 0.000, memory: 8129, top1_acc: 0.5747, top5_acc: 0.8123, loss_cls: 4.1174, loss: 4.1174 +2023-12-22 02:12:54,946 - pyskl - INFO - Epoch [139][500/1873] lr: 3.004e-03, eta: 2:10:13, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5833, top5_acc: 0.8187, loss_cls: 4.0740, loss: 4.0740 +2023-12-22 02:13:28,314 - pyskl - INFO - Epoch [139][600/1873] lr: 2.977e-03, eta: 2:09:37, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5823, top5_acc: 0.8186, loss_cls: 4.0781, loss: 4.0781 +2023-12-22 02:14:01,576 - pyskl - INFO - Epoch [139][700/1873] lr: 2.950e-03, eta: 2:09:01, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5691, top5_acc: 0.8102, loss_cls: 4.1177, loss: 4.1177 +2023-12-22 02:14:34,875 - pyskl - INFO - Epoch [139][800/1873] lr: 2.923e-03, eta: 2:08:25, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5729, top5_acc: 0.8123, loss_cls: 4.1116, loss: 4.1116 +2023-12-22 02:15:08,256 - pyskl - INFO - Epoch [139][900/1873] lr: 2.897e-03, eta: 2:07:50, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5724, top5_acc: 0.8116, loss_cls: 4.1196, loss: 4.1196 +2023-12-22 02:15:41,622 - pyskl - INFO - Epoch [139][1000/1873] lr: 2.870e-03, eta: 2:07:14, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5732, top5_acc: 0.8107, loss_cls: 4.1141, loss: 4.1141 +2023-12-22 02:16:14,864 - pyskl - INFO - Epoch [139][1100/1873] lr: 2.843e-03, eta: 2:06:38, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5734, top5_acc: 0.8127, loss_cls: 4.1140, loss: 4.1140 +2023-12-22 02:16:48,239 - pyskl - INFO - Epoch [139][1200/1873] lr: 2.817e-03, eta: 2:06:02, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5710, top5_acc: 0.8101, loss_cls: 4.1189, loss: 4.1189 +2023-12-22 02:17:21,646 - pyskl - INFO - Epoch [139][1300/1873] lr: 2.791e-03, eta: 2:05:27, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5771, top5_acc: 0.8149, loss_cls: 4.1177, loss: 4.1177 +2023-12-22 02:17:55,096 - pyskl - INFO - Epoch [139][1400/1873] lr: 2.765e-03, eta: 2:04:51, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5730, top5_acc: 0.8084, loss_cls: 4.1182, loss: 4.1182 +2023-12-22 02:18:28,471 - pyskl - INFO - Epoch [139][1500/1873] lr: 2.738e-03, eta: 2:04:15, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5758, top5_acc: 0.8106, loss_cls: 4.1090, loss: 4.1090 +2023-12-22 02:19:01,552 - pyskl - INFO - Epoch [139][1600/1873] lr: 2.713e-03, eta: 2:03:40, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5752, top5_acc: 0.8123, loss_cls: 4.1054, loss: 4.1054 +2023-12-22 02:19:34,848 - pyskl - INFO - Epoch [139][1700/1873] lr: 2.687e-03, eta: 2:03:04, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5676, top5_acc: 0.8087, loss_cls: 4.1266, loss: 4.1266 +2023-12-22 02:20:08,086 - pyskl - INFO - Epoch [139][1800/1873] lr: 2.661e-03, eta: 2:02:28, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5679, top5_acc: 0.8095, loss_cls: 4.1451, loss: 4.1451 +2023-12-22 02:20:37,025 - pyskl - INFO - Saving checkpoint at 139 epochs +2023-12-22 02:21:28,055 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 02:21:28,747 - pyskl - INFO - +top1_acc 0.4572 +top5_acc 0.7046 +2023-12-22 02:21:28,748 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 02:21:28,783 - pyskl - INFO - +mean_acc 0.4569 +2023-12-22 02:21:28,788 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_138.pth was removed +2023-12-22 02:21:28,955 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2023-12-22 02:21:28,956 - pyskl - INFO - Best top1_acc is 0.4572 at 139 epoch. +2023-12-22 02:21:28,966 - pyskl - INFO - Epoch(val) [139][155] top1_acc: 0.4572, top5_acc: 0.7046, mean_class_accuracy: 0.4569 +2023-12-22 02:23:09,630 - pyskl - INFO - Epoch [140][100/1873] lr: 2.617e-03, eta: 2:01:30, time: 1.006, data_time: 0.675, memory: 8129, top1_acc: 0.6025, top5_acc: 0.8307, loss_cls: 3.9866, loss: 3.9866 +2023-12-22 02:23:42,651 - pyskl - INFO - Epoch [140][200/1873] lr: 2.592e-03, eta: 2:00:54, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5857, top5_acc: 0.8292, loss_cls: 4.0401, loss: 4.0401 +2023-12-22 02:24:15,715 - pyskl - INFO - Epoch [140][300/1873] lr: 2.566e-03, eta: 2:00:18, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5927, top5_acc: 0.8311, loss_cls: 4.0098, loss: 4.0098 +2023-12-22 02:24:48,885 - pyskl - INFO - Epoch [140][400/1873] lr: 2.541e-03, eta: 1:59:42, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5920, top5_acc: 0.8259, loss_cls: 4.0365, loss: 4.0365 +2023-12-22 02:25:22,243 - pyskl - INFO - Epoch [140][500/1873] lr: 2.516e-03, eta: 1:59:07, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5868, top5_acc: 0.8223, loss_cls: 4.0457, loss: 4.0457 +2023-12-22 02:25:55,513 - pyskl - INFO - Epoch [140][600/1873] lr: 2.491e-03, eta: 1:58:31, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5819, top5_acc: 0.8162, loss_cls: 4.0841, loss: 4.0841 +2023-12-22 02:26:28,761 - pyskl - INFO - Epoch [140][700/1873] lr: 2.467e-03, eta: 1:57:55, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5791, top5_acc: 0.8199, loss_cls: 4.0621, loss: 4.0621 +2023-12-22 02:27:02,162 - pyskl - INFO - Epoch [140][800/1873] lr: 2.442e-03, eta: 1:57:20, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5866, top5_acc: 0.8177, loss_cls: 4.0597, loss: 4.0597 +2023-12-22 02:27:35,546 - pyskl - INFO - Epoch [140][900/1873] lr: 2.417e-03, eta: 1:56:44, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5817, top5_acc: 0.8184, loss_cls: 4.0595, loss: 4.0595 +2023-12-22 02:28:08,700 - pyskl - INFO - Epoch [140][1000/1873] lr: 2.393e-03, eta: 1:56:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5838, top5_acc: 0.8201, loss_cls: 4.0602, loss: 4.0602 +2023-12-22 02:28:41,822 - pyskl - INFO - Epoch [140][1100/1873] lr: 2.369e-03, eta: 1:55:32, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5823, top5_acc: 0.8224, loss_cls: 4.0696, loss: 4.0696 +2023-12-22 02:29:15,082 - pyskl - INFO - Epoch [140][1200/1873] lr: 2.345e-03, eta: 1:54:57, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5791, top5_acc: 0.8158, loss_cls: 4.0899, loss: 4.0899 +2023-12-22 02:29:48,289 - pyskl - INFO - Epoch [140][1300/1873] lr: 2.321e-03, eta: 1:54:21, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5771, top5_acc: 0.8212, loss_cls: 4.0755, loss: 4.0755 +2023-12-22 02:30:21,615 - pyskl - INFO - Epoch [140][1400/1873] lr: 2.297e-03, eta: 1:53:45, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5823, top5_acc: 0.8130, loss_cls: 4.0948, loss: 4.0948 +2023-12-22 02:30:55,029 - pyskl - INFO - Epoch [140][1500/1873] lr: 2.273e-03, eta: 1:53:10, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5753, top5_acc: 0.8164, loss_cls: 4.0818, loss: 4.0818 +2023-12-22 02:31:28,349 - pyskl - INFO - Epoch [140][1600/1873] lr: 2.249e-03, eta: 1:52:34, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5790, top5_acc: 0.8174, loss_cls: 4.0865, loss: 4.0865 +2023-12-22 02:32:01,758 - pyskl - INFO - Epoch [140][1700/1873] lr: 2.226e-03, eta: 1:51:58, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.5801, top5_acc: 0.8140, loss_cls: 4.0785, loss: 4.0785 +2023-12-22 02:32:35,051 - pyskl - INFO - Epoch [140][1800/1873] lr: 2.202e-03, eta: 1:51:22, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.5898, top5_acc: 0.8231, loss_cls: 4.0505, loss: 4.0505 +2023-12-22 02:33:05,206 - pyskl - INFO - Saving checkpoint at 140 epochs +2023-12-22 02:33:55,460 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 02:33:56,258 - pyskl - INFO - +top1_acc 0.4585 +top5_acc 0.7039 +2023-12-22 02:33:56,259 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 02:33:56,294 - pyskl - INFO - +mean_acc 0.4582 +2023-12-22 02:33:56,299 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_139.pth was removed +2023-12-22 02:33:56,490 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_140.pth. +2023-12-22 02:33:56,491 - pyskl - INFO - Best top1_acc is 0.4585 at 140 epoch. +2023-12-22 02:33:56,503 - pyskl - INFO - Epoch(val) [140][155] top1_acc: 0.4585, top5_acc: 0.7039, mean_class_accuracy: 0.4582 +2023-12-22 02:35:39,417 - pyskl - INFO - Epoch [141][100/1873] lr: 2.162e-03, eta: 1:50:24, time: 1.029, data_time: 0.680, memory: 8129, top1_acc: 0.5993, top5_acc: 0.8316, loss_cls: 3.9866, loss: 3.9866 +2023-12-22 02:36:12,407 - pyskl - INFO - Epoch [141][200/1873] lr: 2.139e-03, eta: 1:49:48, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6057, top5_acc: 0.8304, loss_cls: 3.9818, loss: 3.9818 +2023-12-22 02:36:45,385 - pyskl - INFO - Epoch [141][300/1873] lr: 2.116e-03, eta: 1:49:12, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5919, top5_acc: 0.8319, loss_cls: 4.0169, loss: 4.0169 +2023-12-22 02:37:18,447 - pyskl - INFO - Epoch [141][400/1873] lr: 2.093e-03, eta: 1:48:37, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5963, top5_acc: 0.8319, loss_cls: 4.0033, loss: 4.0033 +2023-12-22 02:37:51,455 - pyskl - INFO - Epoch [141][500/1873] lr: 2.071e-03, eta: 1:48:01, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5976, top5_acc: 0.8316, loss_cls: 4.0232, loss: 4.0232 +2023-12-22 02:38:24,506 - pyskl - INFO - Epoch [141][600/1873] lr: 2.048e-03, eta: 1:47:25, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5998, top5_acc: 0.8290, loss_cls: 3.9943, loss: 3.9943 +2023-12-22 02:38:57,579 - pyskl - INFO - Epoch [141][700/1873] lr: 2.026e-03, eta: 1:46:50, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5893, top5_acc: 0.8324, loss_cls: 4.0155, loss: 4.0155 +2023-12-22 02:39:30,655 - pyskl - INFO - Epoch [141][800/1873] lr: 2.003e-03, eta: 1:46:14, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5955, top5_acc: 0.8287, loss_cls: 4.0093, loss: 4.0093 +2023-12-22 02:40:03,810 - pyskl - INFO - Epoch [141][900/1873] lr: 1.981e-03, eta: 1:45:38, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5884, top5_acc: 0.8293, loss_cls: 4.0308, loss: 4.0308 +2023-12-22 02:40:36,885 - pyskl - INFO - Epoch [141][1000/1873] lr: 1.959e-03, eta: 1:45:02, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5992, top5_acc: 0.8305, loss_cls: 4.0134, loss: 4.0134 +2023-12-22 02:41:09,914 - pyskl - INFO - Epoch [141][1100/1873] lr: 1.937e-03, eta: 1:44:27, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5915, top5_acc: 0.8254, loss_cls: 4.0197, loss: 4.0197 +2023-12-22 02:41:42,953 - pyskl - INFO - Epoch [141][1200/1873] lr: 1.915e-03, eta: 1:43:51, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5928, top5_acc: 0.8212, loss_cls: 4.0498, loss: 4.0498 +2023-12-22 02:42:15,965 - pyskl - INFO - Epoch [141][1300/1873] lr: 1.894e-03, eta: 1:43:15, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.5902, top5_acc: 0.8260, loss_cls: 4.0261, loss: 4.0261 +2023-12-22 02:42:48,835 - pyskl - INFO - Epoch [141][1400/1873] lr: 1.872e-03, eta: 1:42:40, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5964, top5_acc: 0.8268, loss_cls: 4.0204, loss: 4.0204 +2023-12-22 02:43:21,995 - pyskl - INFO - Epoch [141][1500/1873] lr: 1.850e-03, eta: 1:42:04, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.5895, top5_acc: 0.8300, loss_cls: 4.0346, loss: 4.0346 +2023-12-22 02:43:55,135 - pyskl - INFO - Epoch [141][1600/1873] lr: 1.829e-03, eta: 1:41:28, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5863, top5_acc: 0.8200, loss_cls: 4.0605, loss: 4.0605 +2023-12-22 02:44:28,253 - pyskl - INFO - Epoch [141][1700/1873] lr: 1.808e-03, eta: 1:40:52, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5932, top5_acc: 0.8241, loss_cls: 4.0210, loss: 4.0210 +2023-12-22 02:45:01,114 - pyskl - INFO - Epoch [141][1800/1873] lr: 1.787e-03, eta: 1:40:17, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.5910, top5_acc: 0.8235, loss_cls: 4.0374, loss: 4.0374 +2023-12-22 02:45:30,879 - pyskl - INFO - Saving checkpoint at 141 epochs +2023-12-22 02:46:21,157 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 02:46:21,846 - pyskl - INFO - +top1_acc 0.4602 +top5_acc 0.7094 +2023-12-22 02:46:21,846 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 02:46:21,876 - pyskl - INFO - +mean_acc 0.4599 +2023-12-22 02:46:21,881 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_140.pth was removed +2023-12-22 02:46:22,038 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. +2023-12-22 02:46:22,039 - pyskl - INFO - Best top1_acc is 0.4602 at 141 epoch. +2023-12-22 02:46:22,046 - pyskl - INFO - Epoch(val) [141][155] top1_acc: 0.4602, top5_acc: 0.7094, mean_class_accuracy: 0.4599 +2023-12-22 02:48:03,513 - pyskl - INFO - Epoch [142][100/1873] lr: 1.751e-03, eta: 1:39:18, time: 1.014, data_time: 0.647, memory: 8129, top1_acc: 0.6109, top5_acc: 0.8393, loss_cls: 3.9487, loss: 3.9487 +2023-12-22 02:48:36,425 - pyskl - INFO - Epoch [142][200/1873] lr: 1.730e-03, eta: 1:38:42, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6116, top5_acc: 0.8398, loss_cls: 3.9389, loss: 3.9389 +2023-12-22 02:49:09,400 - pyskl - INFO - Epoch [142][300/1873] lr: 1.709e-03, eta: 1:38:06, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6103, top5_acc: 0.8426, loss_cls: 3.9503, loss: 3.9503 +2023-12-22 02:49:42,313 - pyskl - INFO - Epoch [142][400/1873] lr: 1.689e-03, eta: 1:37:31, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6059, top5_acc: 0.8373, loss_cls: 3.9593, loss: 3.9593 +2023-12-22 02:50:15,408 - pyskl - INFO - Epoch [142][500/1873] lr: 1.668e-03, eta: 1:36:55, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6073, top5_acc: 0.8418, loss_cls: 3.9473, loss: 3.9473 +2023-12-22 02:50:48,477 - pyskl - INFO - Epoch [142][600/1873] lr: 1.648e-03, eta: 1:36:19, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6075, top5_acc: 0.8404, loss_cls: 3.9555, loss: 3.9555 +2023-12-22 02:51:21,462 - pyskl - INFO - Epoch [142][700/1873] lr: 1.628e-03, eta: 1:35:43, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6101, top5_acc: 0.8330, loss_cls: 3.9648, loss: 3.9648 +2023-12-22 02:51:54,576 - pyskl - INFO - Epoch [142][800/1873] lr: 1.608e-03, eta: 1:35:08, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6032, top5_acc: 0.8311, loss_cls: 3.9871, loss: 3.9871 +2023-12-22 02:52:27,858 - pyskl - INFO - Epoch [142][900/1873] lr: 1.588e-03, eta: 1:34:32, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.6088, top5_acc: 0.8371, loss_cls: 3.9675, loss: 3.9675 +2023-12-22 02:53:00,795 - pyskl - INFO - Epoch [142][1000/1873] lr: 1.568e-03, eta: 1:33:56, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6034, top5_acc: 0.8375, loss_cls: 3.9793, loss: 3.9793 +2023-12-22 02:53:33,788 - pyskl - INFO - Epoch [142][1100/1873] lr: 1.548e-03, eta: 1:33:21, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6020, top5_acc: 0.8311, loss_cls: 3.9821, loss: 3.9821 +2023-12-22 02:54:06,883 - pyskl - INFO - Epoch [142][1200/1873] lr: 1.529e-03, eta: 1:32:45, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.5977, top5_acc: 0.8307, loss_cls: 3.9948, loss: 3.9948 +2023-12-22 02:54:39,783 - pyskl - INFO - Epoch [142][1300/1873] lr: 1.509e-03, eta: 1:32:09, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6012, top5_acc: 0.8284, loss_cls: 3.9893, loss: 3.9893 +2023-12-22 02:55:12,588 - pyskl - INFO - Epoch [142][1400/1873] lr: 1.490e-03, eta: 1:31:34, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6029, top5_acc: 0.8373, loss_cls: 3.9725, loss: 3.9725 +2023-12-22 02:55:45,588 - pyskl - INFO - Epoch [142][1500/1873] lr: 1.471e-03, eta: 1:30:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6012, top5_acc: 0.8377, loss_cls: 3.9831, loss: 3.9831 +2023-12-22 02:56:18,602 - pyskl - INFO - Epoch [142][1600/1873] lr: 1.452e-03, eta: 1:30:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6052, top5_acc: 0.8335, loss_cls: 3.9689, loss: 3.9689 +2023-12-22 02:56:51,300 - pyskl - INFO - Epoch [142][1700/1873] lr: 1.433e-03, eta: 1:29:46, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.6076, top5_acc: 0.8359, loss_cls: 3.9763, loss: 3.9763 +2023-12-22 02:57:24,039 - pyskl - INFO - Epoch [142][1800/1873] lr: 1.414e-03, eta: 1:29:11, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.5992, top5_acc: 0.8280, loss_cls: 3.9928, loss: 3.9928 +2023-12-22 02:57:52,723 - pyskl - INFO - Saving checkpoint at 142 epochs +2023-12-22 02:58:40,076 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 02:58:40,894 - pyskl - INFO - +top1_acc 0.4605 +top5_acc 0.7098 +2023-12-22 02:58:40,894 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 02:58:40,930 - pyskl - INFO - +mean_acc 0.4602 +2023-12-22 02:58:40,936 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_141.pth was removed +2023-12-22 02:58:41,132 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. +2023-12-22 02:58:41,133 - pyskl - INFO - Best top1_acc is 0.4605 at 142 epoch. +2023-12-22 02:58:41,143 - pyskl - INFO - Epoch(val) [142][155] top1_acc: 0.4605, top5_acc: 0.7098, mean_class_accuracy: 0.4602 +2023-12-22 03:00:23,758 - pyskl - INFO - Epoch [143][100/1873] lr: 1.382e-03, eta: 1:28:12, time: 1.026, data_time: 0.646, memory: 8129, top1_acc: 0.6295, top5_acc: 0.8473, loss_cls: 3.8877, loss: 3.8877 +2023-12-22 03:00:56,498 - pyskl - INFO - Epoch [143][200/1873] lr: 1.364e-03, eta: 1:27:36, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.6187, top5_acc: 0.8453, loss_cls: 3.9140, loss: 3.9140 +2023-12-22 03:01:29,382 - pyskl - INFO - Epoch [143][300/1873] lr: 1.345e-03, eta: 1:27:00, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6162, top5_acc: 0.8397, loss_cls: 3.9344, loss: 3.9344 +2023-12-22 03:02:02,260 - pyskl - INFO - Epoch [143][400/1873] lr: 1.327e-03, eta: 1:26:24, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6168, top5_acc: 0.8491, loss_cls: 3.9171, loss: 3.9171 +2023-12-22 03:02:35,025 - pyskl - INFO - Epoch [143][500/1873] lr: 1.309e-03, eta: 1:25:49, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6187, top5_acc: 0.8480, loss_cls: 3.9137, loss: 3.9137 +2023-12-22 03:03:07,959 - pyskl - INFO - Epoch [143][600/1873] lr: 1.291e-03, eta: 1:25:13, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6166, top5_acc: 0.8430, loss_cls: 3.9239, loss: 3.9239 +2023-12-22 03:03:41,037 - pyskl - INFO - Epoch [143][700/1873] lr: 1.273e-03, eta: 1:24:37, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6235, top5_acc: 0.8444, loss_cls: 3.9094, loss: 3.9094 +2023-12-22 03:04:14,013 - pyskl - INFO - Epoch [143][800/1873] lr: 1.255e-03, eta: 1:24:02, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6120, top5_acc: 0.8421, loss_cls: 3.9369, loss: 3.9369 +2023-12-22 03:04:46,965 - pyskl - INFO - Epoch [143][900/1873] lr: 1.238e-03, eta: 1:23:26, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6142, top5_acc: 0.8442, loss_cls: 3.9230, loss: 3.9230 +2023-12-22 03:05:19,999 - pyskl - INFO - Epoch [143][1000/1873] lr: 1.220e-03, eta: 1:22:50, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6125, top5_acc: 0.8446, loss_cls: 3.9228, loss: 3.9228 +2023-12-22 03:05:52,869 - pyskl - INFO - Epoch [143][1100/1873] lr: 1.203e-03, eta: 1:22:15, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6117, top5_acc: 0.8352, loss_cls: 3.9453, loss: 3.9453 +2023-12-22 03:06:25,687 - pyskl - INFO - Epoch [143][1200/1873] lr: 1.186e-03, eta: 1:21:39, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6157, top5_acc: 0.8405, loss_cls: 3.9353, loss: 3.9353 +2023-12-22 03:06:58,499 - pyskl - INFO - Epoch [143][1300/1873] lr: 1.169e-03, eta: 1:21:03, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6195, top5_acc: 0.8420, loss_cls: 3.9257, loss: 3.9257 +2023-12-22 03:07:31,211 - pyskl - INFO - Epoch [143][1400/1873] lr: 1.152e-03, eta: 1:20:28, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.6069, top5_acc: 0.8381, loss_cls: 3.9589, loss: 3.9589 +2023-12-22 03:08:03,803 - pyskl - INFO - Epoch [143][1500/1873] lr: 1.135e-03, eta: 1:19:52, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.6045, top5_acc: 0.8359, loss_cls: 3.9625, loss: 3.9625 +2023-12-22 03:08:36,755 - pyskl - INFO - Epoch [143][1600/1873] lr: 1.118e-03, eta: 1:19:16, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6211, top5_acc: 0.8475, loss_cls: 3.9094, loss: 3.9094 +2023-12-22 03:09:09,712 - pyskl - INFO - Epoch [143][1700/1873] lr: 1.101e-03, eta: 1:18:41, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6095, top5_acc: 0.8402, loss_cls: 3.9430, loss: 3.9430 +2023-12-22 03:09:42,542 - pyskl - INFO - Epoch [143][1800/1873] lr: 1.085e-03, eta: 1:18:05, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6195, top5_acc: 0.8371, loss_cls: 3.9372, loss: 3.9372 +2023-12-22 03:10:10,503 - pyskl - INFO - Saving checkpoint at 143 epochs +2023-12-22 03:11:00,101 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 03:11:00,972 - pyskl - INFO - +top1_acc 0.4620 +top5_acc 0.7093 +2023-12-22 03:11:00,972 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 03:11:01,013 - pyskl - INFO - +mean_acc 0.4618 +2023-12-22 03:11:01,019 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_142.pth was removed +2023-12-22 03:11:01,212 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_143.pth. +2023-12-22 03:11:01,213 - pyskl - INFO - Best top1_acc is 0.4620 at 143 epoch. +2023-12-22 03:11:01,221 - pyskl - INFO - Epoch(val) [143][155] top1_acc: 0.4620, top5_acc: 0.7093, mean_class_accuracy: 0.4618 +2023-12-22 03:12:43,702 - pyskl - INFO - Epoch [144][100/1873] lr: 1.057e-03, eta: 1:17:05, time: 1.025, data_time: 0.644, memory: 8129, top1_acc: 0.6307, top5_acc: 0.8521, loss_cls: 3.8826, loss: 3.8826 +2023-12-22 03:13:16,780 - pyskl - INFO - Epoch [144][200/1873] lr: 1.041e-03, eta: 1:16:30, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6285, top5_acc: 0.8558, loss_cls: 3.8565, loss: 3.8565 +2023-12-22 03:13:49,955 - pyskl - INFO - Epoch [144][300/1873] lr: 1.024e-03, eta: 1:15:54, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.6304, top5_acc: 0.8505, loss_cls: 3.8644, loss: 3.8644 +2023-12-22 03:14:23,178 - pyskl - INFO - Epoch [144][400/1873] lr: 1.009e-03, eta: 1:15:18, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.6253, top5_acc: 0.8478, loss_cls: 3.8935, loss: 3.8935 +2023-12-22 03:14:56,597 - pyskl - INFO - Epoch [144][500/1873] lr: 9.928e-04, eta: 1:14:43, time: 0.334, data_time: 0.000, memory: 8129, top1_acc: 0.6266, top5_acc: 0.8488, loss_cls: 3.8908, loss: 3.8908 +2023-12-22 03:15:29,623 - pyskl - INFO - Epoch [144][600/1873] lr: 9.771e-04, eta: 1:14:07, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6293, top5_acc: 0.8519, loss_cls: 3.8719, loss: 3.8719 +2023-12-22 03:16:02,711 - pyskl - INFO - Epoch [144][700/1873] lr: 9.616e-04, eta: 1:13:31, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6240, top5_acc: 0.8510, loss_cls: 3.8588, loss: 3.8588 +2023-12-22 03:16:36,017 - pyskl - INFO - Epoch [144][800/1873] lr: 9.462e-04, eta: 1:12:56, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.6252, top5_acc: 0.8518, loss_cls: 3.8884, loss: 3.8884 +2023-12-22 03:17:09,054 - pyskl - INFO - Epoch [144][900/1873] lr: 9.309e-04, eta: 1:12:20, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6232, top5_acc: 0.8441, loss_cls: 3.8991, loss: 3.8991 +2023-12-22 03:17:42,178 - pyskl - INFO - Epoch [144][1000/1873] lr: 9.158e-04, eta: 1:11:44, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6196, top5_acc: 0.8434, loss_cls: 3.9139, loss: 3.9139 +2023-12-22 03:18:15,287 - pyskl - INFO - Epoch [144][1100/1873] lr: 9.007e-04, eta: 1:11:09, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6280, top5_acc: 0.8537, loss_cls: 3.8586, loss: 3.8586 +2023-12-22 03:18:48,624 - pyskl - INFO - Epoch [144][1200/1873] lr: 8.858e-04, eta: 1:10:33, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.6212, top5_acc: 0.8467, loss_cls: 3.9028, loss: 3.9028 +2023-12-22 03:19:21,630 - pyskl - INFO - Epoch [144][1300/1873] lr: 8.710e-04, eta: 1:09:58, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6264, top5_acc: 0.8510, loss_cls: 3.8869, loss: 3.8869 +2023-12-22 03:19:54,677 - pyskl - INFO - Epoch [144][1400/1873] lr: 8.564e-04, eta: 1:09:22, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6254, top5_acc: 0.8500, loss_cls: 3.8871, loss: 3.8871 +2023-12-22 03:20:27,795 - pyskl - INFO - Epoch [144][1500/1873] lr: 8.418e-04, eta: 1:08:46, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6273, top5_acc: 0.8460, loss_cls: 3.8778, loss: 3.8778 +2023-12-22 03:21:00,801 - pyskl - INFO - Epoch [144][1600/1873] lr: 8.274e-04, eta: 1:08:11, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6299, top5_acc: 0.8518, loss_cls: 3.8580, loss: 3.8580 +2023-12-22 03:21:33,954 - pyskl - INFO - Epoch [144][1700/1873] lr: 8.131e-04, eta: 1:07:35, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6224, top5_acc: 0.8472, loss_cls: 3.9075, loss: 3.9075 +2023-12-22 03:22:07,015 - pyskl - INFO - Epoch [144][1800/1873] lr: 7.989e-04, eta: 1:06:59, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6186, top5_acc: 0.8484, loss_cls: 3.9016, loss: 3.9016 +2023-12-22 03:22:34,839 - pyskl - INFO - Saving checkpoint at 144 epochs +2023-12-22 03:23:24,310 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 03:23:25,163 - pyskl - INFO - +top1_acc 0.4680 +top5_acc 0.7153 +2023-12-22 03:23:25,163 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 03:23:25,198 - pyskl - INFO - +mean_acc 0.4677 +2023-12-22 03:23:25,203 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_143.pth was removed +2023-12-22 03:23:25,417 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. +2023-12-22 03:23:25,417 - pyskl - INFO - Best top1_acc is 0.4680 at 144 epoch. +2023-12-22 03:23:25,426 - pyskl - INFO - Epoch(val) [144][155] top1_acc: 0.4680, top5_acc: 0.7153, mean_class_accuracy: 0.4677 +2023-12-22 03:25:10,843 - pyskl - INFO - Epoch [145][100/1873] lr: 7.747e-04, eta: 1:06:00, time: 1.054, data_time: 0.652, memory: 8129, top1_acc: 0.6388, top5_acc: 0.8557, loss_cls: 3.8448, loss: 3.8448 +2023-12-22 03:25:43,534 - pyskl - INFO - Epoch [145][200/1873] lr: 7.609e-04, eta: 1:05:24, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.6426, top5_acc: 0.8627, loss_cls: 3.8283, loss: 3.8283 +2023-12-22 03:26:16,427 - pyskl - INFO - Epoch [145][300/1873] lr: 7.472e-04, eta: 1:04:48, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6287, top5_acc: 0.8532, loss_cls: 3.8559, loss: 3.8559 +2023-12-22 03:26:49,293 - pyskl - INFO - Epoch [145][400/1873] lr: 7.336e-04, eta: 1:04:13, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6383, top5_acc: 0.8586, loss_cls: 3.8250, loss: 3.8250 +2023-12-22 03:27:22,280 - pyskl - INFO - Epoch [145][500/1873] lr: 7.201e-04, eta: 1:03:37, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6284, top5_acc: 0.8533, loss_cls: 3.8608, loss: 3.8608 +2023-12-22 03:27:55,193 - pyskl - INFO - Epoch [145][600/1873] lr: 7.068e-04, eta: 1:03:01, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6415, top5_acc: 0.8584, loss_cls: 3.8225, loss: 3.8225 +2023-12-22 03:28:28,202 - pyskl - INFO - Epoch [145][700/1873] lr: 6.936e-04, eta: 1:02:26, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6352, top5_acc: 0.8555, loss_cls: 3.8451, loss: 3.8451 +2023-12-22 03:29:01,298 - pyskl - INFO - Epoch [145][800/1873] lr: 6.805e-04, eta: 1:01:50, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6305, top5_acc: 0.8501, loss_cls: 3.8861, loss: 3.8861 +2023-12-22 03:29:34,351 - pyskl - INFO - Epoch [145][900/1873] lr: 6.676e-04, eta: 1:01:14, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6301, top5_acc: 0.8516, loss_cls: 3.8675, loss: 3.8675 +2023-12-22 03:30:07,389 - pyskl - INFO - Epoch [145][1000/1873] lr: 6.547e-04, eta: 1:00:39, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6370, top5_acc: 0.8504, loss_cls: 3.8448, loss: 3.8448 +2023-12-22 03:30:40,456 - pyskl - INFO - Epoch [145][1100/1873] lr: 6.420e-04, eta: 1:00:03, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6409, top5_acc: 0.8581, loss_cls: 3.8207, loss: 3.8207 +2023-12-22 03:31:13,604 - pyskl - INFO - Epoch [145][1200/1873] lr: 6.294e-04, eta: 0:59:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6288, top5_acc: 0.8534, loss_cls: 3.8560, loss: 3.8560 +2023-12-22 03:31:46,580 - pyskl - INFO - Epoch [145][1300/1873] lr: 6.170e-04, eta: 0:58:52, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6371, top5_acc: 0.8577, loss_cls: 3.8356, loss: 3.8356 +2023-12-22 03:32:19,755 - pyskl - INFO - Epoch [145][1400/1873] lr: 6.046e-04, eta: 0:58:16, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.6325, top5_acc: 0.8482, loss_cls: 3.8637, loss: 3.8637 +2023-12-22 03:32:52,855 - pyskl - INFO - Epoch [145][1500/1873] lr: 5.924e-04, eta: 0:57:41, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6382, top5_acc: 0.8552, loss_cls: 3.8263, loss: 3.8263 +2023-12-22 03:33:25,944 - pyskl - INFO - Epoch [145][1600/1873] lr: 5.803e-04, eta: 0:57:05, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6375, top5_acc: 0.8573, loss_cls: 3.8305, loss: 3.8305 +2023-12-22 03:33:58,972 - pyskl - INFO - Epoch [145][1700/1873] lr: 5.683e-04, eta: 0:56:29, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6398, top5_acc: 0.8612, loss_cls: 3.8193, loss: 3.8193 +2023-12-22 03:34:32,119 - pyskl - INFO - Epoch [145][1800/1873] lr: 5.565e-04, eta: 0:55:54, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6339, top5_acc: 0.8548, loss_cls: 3.8580, loss: 3.8580 +2023-12-22 03:35:00,143 - pyskl - INFO - Saving checkpoint at 145 epochs +2023-12-22 03:35:48,154 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 03:35:49,057 - pyskl - INFO - +top1_acc 0.4692 +top5_acc 0.7161 +2023-12-22 03:35:49,057 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 03:35:49,096 - pyskl - INFO - +mean_acc 0.4689 +2023-12-22 03:35:49,105 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_144.pth was removed +2023-12-22 03:35:49,406 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_145.pth. +2023-12-22 03:35:49,407 - pyskl - INFO - Best top1_acc is 0.4692 at 145 epoch. +2023-12-22 03:35:49,420 - pyskl - INFO - Epoch(val) [145][155] top1_acc: 0.4692, top5_acc: 0.7161, mean_class_accuracy: 0.4689 +2023-12-22 03:37:32,135 - pyskl - INFO - Epoch [146][100/1873] lr: 5.363e-04, eta: 0:54:54, time: 1.027, data_time: 0.665, memory: 8129, top1_acc: 0.6473, top5_acc: 0.8648, loss_cls: 3.7995, loss: 3.7995 +2023-12-22 03:38:04,996 - pyskl - INFO - Epoch [146][200/1873] lr: 5.248e-04, eta: 0:54:18, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6473, top5_acc: 0.8684, loss_cls: 3.7744, loss: 3.7744 +2023-12-22 03:38:37,891 - pyskl - INFO - Epoch [146][300/1873] lr: 5.134e-04, eta: 0:53:42, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6452, top5_acc: 0.8637, loss_cls: 3.7966, loss: 3.7966 +2023-12-22 03:39:10,797 - pyskl - INFO - Epoch [146][400/1873] lr: 5.022e-04, eta: 0:53:07, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6459, top5_acc: 0.8641, loss_cls: 3.7986, loss: 3.7986 +2023-12-22 03:39:43,926 - pyskl - INFO - Epoch [146][500/1873] lr: 4.910e-04, eta: 0:52:31, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6481, top5_acc: 0.8624, loss_cls: 3.7997, loss: 3.7997 +2023-12-22 03:40:16,883 - pyskl - INFO - Epoch [146][600/1873] lr: 4.800e-04, eta: 0:51:55, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6414, top5_acc: 0.8605, loss_cls: 3.8233, loss: 3.8233 +2023-12-22 03:40:49,804 - pyskl - INFO - Epoch [146][700/1873] lr: 4.691e-04, eta: 0:51:20, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6440, top5_acc: 0.8607, loss_cls: 3.8116, loss: 3.8116 +2023-12-22 03:41:22,626 - pyskl - INFO - Epoch [146][800/1873] lr: 4.584e-04, eta: 0:50:44, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6475, top5_acc: 0.8612, loss_cls: 3.8047, loss: 3.8047 +2023-12-22 03:41:55,355 - pyskl - INFO - Epoch [146][900/1873] lr: 4.478e-04, eta: 0:50:08, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.6398, top5_acc: 0.8591, loss_cls: 3.8141, loss: 3.8141 +2023-12-22 03:42:28,289 - pyskl - INFO - Epoch [146][1000/1873] lr: 4.373e-04, eta: 0:49:33, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6435, top5_acc: 0.8612, loss_cls: 3.8062, loss: 3.8062 +2023-12-22 03:43:01,100 - pyskl - INFO - Epoch [146][1100/1873] lr: 4.269e-04, eta: 0:48:57, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6511, top5_acc: 0.8633, loss_cls: 3.7933, loss: 3.7933 +2023-12-22 03:43:33,964 - pyskl - INFO - Epoch [146][1200/1873] lr: 4.166e-04, eta: 0:48:22, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6398, top5_acc: 0.8625, loss_cls: 3.8211, loss: 3.8211 +2023-12-22 03:44:06,598 - pyskl - INFO - Epoch [146][1300/1873] lr: 4.065e-04, eta: 0:47:46, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.6427, top5_acc: 0.8605, loss_cls: 3.8146, loss: 3.8146 +2023-12-22 03:44:39,428 - pyskl - INFO - Epoch [146][1400/1873] lr: 3.965e-04, eta: 0:47:10, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6390, top5_acc: 0.8582, loss_cls: 3.8258, loss: 3.8258 +2023-12-22 03:45:12,349 - pyskl - INFO - Epoch [146][1500/1873] lr: 3.866e-04, eta: 0:46:35, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6355, top5_acc: 0.8588, loss_cls: 3.8181, loss: 3.8181 +2023-12-22 03:45:45,279 - pyskl - INFO - Epoch [146][1600/1873] lr: 3.768e-04, eta: 0:45:59, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6502, top5_acc: 0.8611, loss_cls: 3.8047, loss: 3.8047 +2023-12-22 03:46:17,885 - pyskl - INFO - Epoch [146][1700/1873] lr: 3.672e-04, eta: 0:45:24, time: 0.326, data_time: 0.000, memory: 8129, top1_acc: 0.6499, top5_acc: 0.8632, loss_cls: 3.7925, loss: 3.7925 +2023-12-22 03:46:50,938 - pyskl - INFO - Epoch [146][1800/1873] lr: 3.577e-04, eta: 0:44:48, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6447, top5_acc: 0.8570, loss_cls: 3.8260, loss: 3.8260 +2023-12-22 03:47:18,754 - pyskl - INFO - Saving checkpoint at 146 epochs +2023-12-22 03:48:07,104 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 03:48:08,281 - pyskl - INFO - +top1_acc 0.4687 +top5_acc 0.7155 +2023-12-22 03:48:08,281 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 03:48:08,336 - pyskl - INFO - +mean_acc 0.4684 +2023-12-22 03:48:08,350 - pyskl - INFO - Epoch(val) [146][155] top1_acc: 0.4687, top5_acc: 0.7155, mean_class_accuracy: 0.4684 +2023-12-22 03:49:52,102 - pyskl - INFO - Epoch [147][100/1873] lr: 3.415e-04, eta: 0:43:48, time: 1.037, data_time: 0.699, memory: 8129, top1_acc: 0.6554, top5_acc: 0.8701, loss_cls: 3.7542, loss: 3.7542 +2023-12-22 03:50:25,118 - pyskl - INFO - Epoch [147][200/1873] lr: 3.323e-04, eta: 0:43:12, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6598, top5_acc: 0.8665, loss_cls: 3.7632, loss: 3.7632 +2023-12-22 03:50:58,101 - pyskl - INFO - Epoch [147][300/1873] lr: 3.233e-04, eta: 0:42:36, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6531, top5_acc: 0.8720, loss_cls: 3.7655, loss: 3.7655 +2023-12-22 03:51:31,102 - pyskl - INFO - Epoch [147][400/1873] lr: 3.144e-04, eta: 0:42:01, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6493, top5_acc: 0.8681, loss_cls: 3.7810, loss: 3.7810 +2023-12-22 03:52:04,397 - pyskl - INFO - Epoch [147][500/1873] lr: 3.056e-04, eta: 0:41:25, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.6601, top5_acc: 0.8688, loss_cls: 3.7604, loss: 3.7604 +2023-12-22 03:52:37,684 - pyskl - INFO - Epoch [147][600/1873] lr: 2.969e-04, eta: 0:40:49, time: 0.333, data_time: 0.000, memory: 8129, top1_acc: 0.6597, top5_acc: 0.8677, loss_cls: 3.7402, loss: 3.7402 +2023-12-22 03:53:10,822 - pyskl - INFO - Epoch [147][700/1873] lr: 2.884e-04, eta: 0:40:14, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6514, top5_acc: 0.8683, loss_cls: 3.7675, loss: 3.7675 +2023-12-22 03:53:43,879 - pyskl - INFO - Epoch [147][800/1873] lr: 2.799e-04, eta: 0:39:38, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6521, top5_acc: 0.8670, loss_cls: 3.7802, loss: 3.7802 +2023-12-22 03:54:16,904 - pyskl - INFO - Epoch [147][900/1873] lr: 2.716e-04, eta: 0:39:03, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6515, top5_acc: 0.8658, loss_cls: 3.7864, loss: 3.7864 +2023-12-22 03:54:49,800 - pyskl - INFO - Epoch [147][1000/1873] lr: 2.635e-04, eta: 0:38:27, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6472, top5_acc: 0.8649, loss_cls: 3.7834, loss: 3.7834 +2023-12-22 03:55:22,919 - pyskl - INFO - Epoch [147][1100/1873] lr: 2.554e-04, eta: 0:37:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6493, top5_acc: 0.8669, loss_cls: 3.7806, loss: 3.7806 +2023-12-22 03:55:55,969 - pyskl - INFO - Epoch [147][1200/1873] lr: 2.475e-04, eta: 0:37:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6491, top5_acc: 0.8676, loss_cls: 3.7691, loss: 3.7691 +2023-12-22 03:56:28,891 - pyskl - INFO - Epoch [147][1300/1873] lr: 2.397e-04, eta: 0:36:40, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6452, top5_acc: 0.8668, loss_cls: 3.7710, loss: 3.7710 +2023-12-22 03:57:01,869 - pyskl - INFO - Epoch [147][1400/1873] lr: 2.320e-04, eta: 0:36:05, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6512, top5_acc: 0.8647, loss_cls: 3.7879, loss: 3.7879 +2023-12-22 03:57:34,957 - pyskl - INFO - Epoch [147][1500/1873] lr: 2.245e-04, eta: 0:35:29, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6470, top5_acc: 0.8649, loss_cls: 3.7915, loss: 3.7915 +2023-12-22 03:58:07,964 - pyskl - INFO - Epoch [147][1600/1873] lr: 2.170e-04, eta: 0:34:53, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6509, top5_acc: 0.8645, loss_cls: 3.7883, loss: 3.7883 +2023-12-22 03:58:40,962 - pyskl - INFO - Epoch [147][1700/1873] lr: 2.097e-04, eta: 0:34:18, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6534, top5_acc: 0.8674, loss_cls: 3.7779, loss: 3.7779 +2023-12-22 03:59:13,898 - pyskl - INFO - Epoch [147][1800/1873] lr: 2.026e-04, eta: 0:33:42, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6441, top5_acc: 0.8571, loss_cls: 3.8238, loss: 3.8238 +2023-12-22 03:59:42,144 - pyskl - INFO - Saving checkpoint at 147 epochs +2023-12-22 04:00:27,802 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 04:00:28,506 - pyskl - INFO - +top1_acc 0.4689 +top5_acc 0.7167 +2023-12-22 04:00:28,506 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 04:00:28,544 - pyskl - INFO - +mean_acc 0.4686 +2023-12-22 04:00:28,555 - pyskl - INFO - Epoch(val) [147][155] top1_acc: 0.4689, top5_acc: 0.7167, mean_class_accuracy: 0.4686 +2023-12-22 04:02:13,777 - pyskl - INFO - Epoch [148][100/1873] lr: 1.904e-04, eta: 0:32:42, time: 1.052, data_time: 0.686, memory: 8129, top1_acc: 0.6629, top5_acc: 0.8741, loss_cls: 3.7248, loss: 3.7248 +2023-12-22 04:02:46,628 - pyskl - INFO - Epoch [148][200/1873] lr: 1.836e-04, eta: 0:32:06, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6583, top5_acc: 0.8716, loss_cls: 3.7425, loss: 3.7425 +2023-12-22 04:03:19,465 - pyskl - INFO - Epoch [148][300/1873] lr: 1.769e-04, eta: 0:31:30, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6540, top5_acc: 0.8665, loss_cls: 3.7592, loss: 3.7592 +2023-12-22 04:03:52,258 - pyskl - INFO - Epoch [148][400/1873] lr: 1.703e-04, eta: 0:30:55, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6531, top5_acc: 0.8661, loss_cls: 3.7718, loss: 3.7718 +2023-12-22 04:04:25,111 - pyskl - INFO - Epoch [148][500/1873] lr: 1.638e-04, eta: 0:30:19, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6587, top5_acc: 0.8733, loss_cls: 3.7385, loss: 3.7385 +2023-12-22 04:04:57,960 - pyskl - INFO - Epoch [148][600/1873] lr: 1.575e-04, eta: 0:29:44, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6662, top5_acc: 0.8739, loss_cls: 3.7255, loss: 3.7255 +2023-12-22 04:05:30,744 - pyskl - INFO - Epoch [148][700/1873] lr: 1.513e-04, eta: 0:29:08, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6502, top5_acc: 0.8645, loss_cls: 3.7792, loss: 3.7792 +2023-12-22 04:06:03,727 - pyskl - INFO - Epoch [148][800/1873] lr: 1.452e-04, eta: 0:28:32, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6610, top5_acc: 0.8694, loss_cls: 3.7496, loss: 3.7496 +2023-12-22 04:06:36,603 - pyskl - INFO - Epoch [148][900/1873] lr: 1.392e-04, eta: 0:27:57, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6598, top5_acc: 0.8704, loss_cls: 3.7453, loss: 3.7453 +2023-12-22 04:07:09,459 - pyskl - INFO - Epoch [148][1000/1873] lr: 1.334e-04, eta: 0:27:21, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6634, top5_acc: 0.8745, loss_cls: 3.7300, loss: 3.7300 +2023-12-22 04:07:42,261 - pyskl - INFO - Epoch [148][1100/1873] lr: 1.277e-04, eta: 0:26:46, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6566, top5_acc: 0.8705, loss_cls: 3.7598, loss: 3.7598 +2023-12-22 04:08:14,953 - pyskl - INFO - Epoch [148][1200/1873] lr: 1.221e-04, eta: 0:26:10, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.6607, top5_acc: 0.8691, loss_cls: 3.7542, loss: 3.7542 +2023-12-22 04:08:47,788 - pyskl - INFO - Epoch [148][1300/1873] lr: 1.167e-04, eta: 0:25:35, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6580, top5_acc: 0.8725, loss_cls: 3.7591, loss: 3.7591 +2023-12-22 04:09:20,750 - pyskl - INFO - Epoch [148][1400/1873] lr: 1.113e-04, eta: 0:24:59, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6577, top5_acc: 0.8638, loss_cls: 3.7628, loss: 3.7628 +2023-12-22 04:09:53,511 - pyskl - INFO - Epoch [148][1500/1873] lr: 1.061e-04, eta: 0:24:23, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6533, top5_acc: 0.8716, loss_cls: 3.7458, loss: 3.7458 +2023-12-22 04:10:26,254 - pyskl - INFO - Epoch [148][1600/1873] lr: 1.010e-04, eta: 0:23:48, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.6595, top5_acc: 0.8729, loss_cls: 3.7581, loss: 3.7581 +2023-12-22 04:10:58,933 - pyskl - INFO - Epoch [148][1700/1873] lr: 9.605e-05, eta: 0:23:12, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.6564, top5_acc: 0.8733, loss_cls: 3.7436, loss: 3.7436 +2023-12-22 04:11:31,702 - pyskl - INFO - Epoch [148][1800/1873] lr: 9.122e-05, eta: 0:22:37, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6538, top5_acc: 0.8686, loss_cls: 3.7670, loss: 3.7670 +2023-12-22 04:11:59,392 - pyskl - INFO - Saving checkpoint at 148 epochs +2023-12-22 04:12:44,963 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 04:12:46,007 - pyskl - INFO - +top1_acc 0.4692 +top5_acc 0.7172 +2023-12-22 04:12:46,008 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 04:12:46,047 - pyskl - INFO - +mean_acc 0.4689 +2023-12-22 04:12:46,057 - pyskl - INFO - Epoch(val) [148][155] top1_acc: 0.4692, top5_acc: 0.7172, mean_class_accuracy: 0.4689 +2023-12-22 04:14:29,990 - pyskl - INFO - Epoch [149][100/1873] lr: 8.314e-05, eta: 0:21:36, time: 1.039, data_time: 0.703, memory: 8129, top1_acc: 0.6684, top5_acc: 0.8734, loss_cls: 3.7175, loss: 3.7175 +2023-12-22 04:15:02,892 - pyskl - INFO - Epoch [149][200/1873] lr: 7.865e-05, eta: 0:21:00, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6647, top5_acc: 0.8726, loss_cls: 3.7293, loss: 3.7293 +2023-12-22 04:15:35,783 - pyskl - INFO - Epoch [149][300/1873] lr: 7.427e-05, eta: 0:20:25, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6620, top5_acc: 0.8710, loss_cls: 3.7365, loss: 3.7365 +2023-12-22 04:16:08,734 - pyskl - INFO - Epoch [149][400/1873] lr: 7.003e-05, eta: 0:19:49, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6645, top5_acc: 0.8725, loss_cls: 3.7235, loss: 3.7235 +2023-12-22 04:16:41,808 - pyskl - INFO - Epoch [149][500/1873] lr: 6.591e-05, eta: 0:19:13, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6645, top5_acc: 0.8701, loss_cls: 3.7382, loss: 3.7382 +2023-12-22 04:17:14,887 - pyskl - INFO - Epoch [149][600/1873] lr: 6.191e-05, eta: 0:18:38, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6635, top5_acc: 0.8717, loss_cls: 3.7255, loss: 3.7255 +2023-12-22 04:17:48,120 - pyskl - INFO - Epoch [149][700/1873] lr: 5.804e-05, eta: 0:18:02, time: 0.332, data_time: 0.000, memory: 8129, top1_acc: 0.6562, top5_acc: 0.8698, loss_cls: 3.7461, loss: 3.7461 +2023-12-22 04:18:21,163 - pyskl - INFO - Epoch [149][800/1873] lr: 5.429e-05, eta: 0:17:27, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6600, top5_acc: 0.8727, loss_cls: 3.7312, loss: 3.7312 +2023-12-22 04:18:54,263 - pyskl - INFO - Epoch [149][900/1873] lr: 5.067e-05, eta: 0:16:51, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6565, top5_acc: 0.8661, loss_cls: 3.7605, loss: 3.7605 +2023-12-22 04:19:27,300 - pyskl - INFO - Epoch [149][1000/1873] lr: 4.717e-05, eta: 0:16:16, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6555, top5_acc: 0.8694, loss_cls: 3.7627, loss: 3.7627 +2023-12-22 04:20:00,232 - pyskl - INFO - Epoch [149][1100/1873] lr: 4.380e-05, eta: 0:15:40, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6680, top5_acc: 0.8748, loss_cls: 3.7188, loss: 3.7188 +2023-12-22 04:20:33,205 - pyskl - INFO - Epoch [149][1200/1873] lr: 4.055e-05, eta: 0:15:04, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6570, top5_acc: 0.8732, loss_cls: 3.7516, loss: 3.7516 +2023-12-22 04:21:06,087 - pyskl - INFO - Epoch [149][1300/1873] lr: 3.743e-05, eta: 0:14:29, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6627, top5_acc: 0.8706, loss_cls: 3.7369, loss: 3.7369 +2023-12-22 04:21:39,052 - pyskl - INFO - Epoch [149][1400/1873] lr: 3.444e-05, eta: 0:13:53, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6621, top5_acc: 0.8715, loss_cls: 3.7403, loss: 3.7403 +2023-12-22 04:22:11,956 - pyskl - INFO - Epoch [149][1500/1873] lr: 3.156e-05, eta: 0:13:18, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6663, top5_acc: 0.8758, loss_cls: 3.7272, loss: 3.7272 +2023-12-22 04:22:45,004 - pyskl - INFO - Epoch [149][1600/1873] lr: 2.882e-05, eta: 0:12:42, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6676, top5_acc: 0.8759, loss_cls: 3.7220, loss: 3.7220 +2023-12-22 04:23:17,823 - pyskl - INFO - Epoch [149][1700/1873] lr: 2.620e-05, eta: 0:12:07, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6504, top5_acc: 0.8715, loss_cls: 3.7769, loss: 3.7769 +2023-12-22 04:23:50,499 - pyskl - INFO - Epoch [149][1800/1873] lr: 2.370e-05, eta: 0:11:31, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.6655, top5_acc: 0.8677, loss_cls: 3.7372, loss: 3.7372 +2023-12-22 04:24:18,582 - pyskl - INFO - Saving checkpoint at 149 epochs +2023-12-22 04:25:03,807 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 04:25:04,512 - pyskl - INFO - +top1_acc 0.4702 +top5_acc 0.7167 +2023-12-22 04:25:04,513 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 04:25:04,544 - pyskl - INFO - +mean_acc 0.4699 +2023-12-22 04:25:04,549 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_145.pth was removed +2023-12-22 04:25:04,715 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_149.pth. +2023-12-22 04:25:04,715 - pyskl - INFO - Best top1_acc is 0.4702 at 149 epoch. +2023-12-22 04:25:04,724 - pyskl - INFO - Epoch(val) [149][155] top1_acc: 0.4702, top5_acc: 0.7167, mean_class_accuracy: 0.4699 +2023-12-22 04:26:48,071 - pyskl - INFO - Epoch [150][100/1873] lr: 1.967e-05, eta: 0:10:30, time: 1.033, data_time: 0.691, memory: 8129, top1_acc: 0.6687, top5_acc: 0.8751, loss_cls: 3.7265, loss: 3.7265 +2023-12-22 04:27:20,933 - pyskl - INFO - Epoch [150][200/1873] lr: 1.752e-05, eta: 0:09:54, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6573, top5_acc: 0.8689, loss_cls: 3.7614, loss: 3.7614 +2023-12-22 04:27:54,027 - pyskl - INFO - Epoch [150][300/1873] lr: 1.549e-05, eta: 0:09:19, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6612, top5_acc: 0.8713, loss_cls: 3.7398, loss: 3.7398 +2023-12-22 04:28:27,066 - pyskl - INFO - Epoch [150][400/1873] lr: 1.358e-05, eta: 0:08:43, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6625, top5_acc: 0.8735, loss_cls: 3.7234, loss: 3.7234 +2023-12-22 04:28:59,947 - pyskl - INFO - Epoch [150][500/1873] lr: 1.180e-05, eta: 0:08:08, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6645, top5_acc: 0.8745, loss_cls: 3.7257, loss: 3.7257 +2023-12-22 04:29:32,799 - pyskl - INFO - Epoch [150][600/1873] lr: 1.015e-05, eta: 0:07:32, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6667, top5_acc: 0.8735, loss_cls: 3.7228, loss: 3.7228 +2023-12-22 04:30:05,777 - pyskl - INFO - Epoch [150][700/1873] lr: 8.617e-06, eta: 0:06:56, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6652, top5_acc: 0.8741, loss_cls: 3.7114, loss: 3.7114 +2023-12-22 04:30:38,697 - pyskl - INFO - Epoch [150][800/1873] lr: 7.211e-06, eta: 0:06:21, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6652, top5_acc: 0.8775, loss_cls: 3.7138, loss: 3.7138 +2023-12-22 04:31:11,701 - pyskl - INFO - Epoch [150][900/1873] lr: 5.931e-06, eta: 0:05:45, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6636, top5_acc: 0.8774, loss_cls: 3.7286, loss: 3.7286 +2023-12-22 04:31:44,710 - pyskl - INFO - Epoch [150][1000/1873] lr: 4.776e-06, eta: 0:05:10, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6674, top5_acc: 0.8727, loss_cls: 3.7300, loss: 3.7300 +2023-12-22 04:32:17,779 - pyskl - INFO - Epoch [150][1100/1873] lr: 3.745e-06, eta: 0:04:34, time: 0.331, data_time: 0.000, memory: 8129, top1_acc: 0.6658, top5_acc: 0.8731, loss_cls: 3.7280, loss: 3.7280 +2023-12-22 04:32:50,718 - pyskl - INFO - Epoch [150][1200/1873] lr: 2.840e-06, eta: 0:03:59, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6633, top5_acc: 0.8707, loss_cls: 3.7312, loss: 3.7312 +2023-12-22 04:33:23,594 - pyskl - INFO - Epoch [150][1300/1873] lr: 2.060e-06, eta: 0:03:23, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6651, top5_acc: 0.8769, loss_cls: 3.7237, loss: 3.7237 +2023-12-22 04:33:56,392 - pyskl - INFO - Epoch [150][1400/1873] lr: 1.405e-06, eta: 0:02:48, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6621, top5_acc: 0.8711, loss_cls: 3.7438, loss: 3.7438 +2023-12-22 04:34:29,247 - pyskl - INFO - Epoch [150][1500/1873] lr: 8.745e-07, eta: 0:02:12, time: 0.329, data_time: 0.000, memory: 8129, top1_acc: 0.6631, top5_acc: 0.8746, loss_cls: 3.7211, loss: 3.7211 +2023-12-22 04:35:01,973 - pyskl - INFO - Epoch [150][1600/1873] lr: 4.694e-07, eta: 0:01:37, time: 0.327, data_time: 0.000, memory: 8129, top1_acc: 0.6542, top5_acc: 0.8715, loss_cls: 3.7462, loss: 3.7462 +2023-12-22 04:35:34,753 - pyskl - INFO - Epoch [150][1700/1873] lr: 1.893e-07, eta: 0:01:01, time: 0.328, data_time: 0.000, memory: 8129, top1_acc: 0.6621, top5_acc: 0.8720, loss_cls: 3.7353, loss: 3.7353 +2023-12-22 04:36:07,794 - pyskl - INFO - Epoch [150][1800/1873] lr: 3.424e-08, eta: 0:00:25, time: 0.330, data_time: 0.000, memory: 8129, top1_acc: 0.6625, top5_acc: 0.8712, loss_cls: 3.7432, loss: 3.7432 +2023-12-22 04:36:35,811 - pyskl - INFO - Saving checkpoint at 150 epochs +2023-12-22 04:37:23,305 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-22 04:37:24,021 - pyskl - INFO - +top1_acc 0.4704 +top5_acc 0.7173 +2023-12-22 04:37:24,022 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-22 04:37:24,053 - pyskl - INFO - +mean_acc 0.4702 +2023-12-22 04:37:24,057 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_149.pth was removed +2023-12-22 04:37:24,236 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_150.pth. +2023-12-22 04:37:24,237 - pyskl - INFO - Best top1_acc is 0.4704 at 150 epoch. +2023-12-22 04:37:24,245 - pyskl - INFO - Epoch(val) [150][155] top1_acc: 0.4704, top5_acc: 0.7173, mean_class_accuracy: 0.4702 +2023-12-22 04:37:38,548 - pyskl - INFO - 19743 videos remain after valid thresholding +2023-12-22 04:41:33,440 - pyskl - INFO - Testing results of the last checkpoint +2023-12-22 04:41:33,440 - pyskl - INFO - top1_acc: 0.4802 +2023-12-22 04:41:33,440 - pyskl - INFO - top5_acc: 0.7268 +2023-12-22 04:41:33,440 - pyskl - INFO - mean_class_accuracy: 0.4799 +2023-12-22 04:41:33,441 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/k400/j_1/best_top1_acc_epoch_150.pth +2023-12-22 04:45:21,791 - pyskl - INFO - Testing results of the best checkpoint +2023-12-22 04:45:21,791 - pyskl - INFO - top1_acc: 0.4802 +2023-12-22 04:45:21,792 - pyskl - INFO - top5_acc: 0.7268 +2023-12-22 04:45:21,792 - pyskl - INFO - mean_class_accuracy: 0.4799